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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 section erase variable [BEq α] theorem erase_eq_eraseP' (a : α) (l : List α) : l.erase a = l.eraseP (· == a) := by induction l · simp · next b t ih => rw [erase_cons, eraseP_cons, ih] if h : b == a then simp [h] else simp [h] theorem erase_eq_eraseP [LawfulBEq α] (a : α) : ∀ l : List α, l.erase a = l.eraseP (a == ·) | [] => rfl | b :: l => by if h : a = b then simp [h] else simp [h, Ne.symm h, erase_eq_eraseP a l] theorem exists_erase_eq [LawfulBEq α] {a : α} {l : List α} (h : a ∈ l) : ∃ l₁ l₂, a ∉ l₁ ∧ l = l₁ ++ a :: l₂ ∧ l.erase a = l₁ ++ l₂ := by let ⟨_, l₁, l₂, h₁, e, h₂, h₃⟩ := exists_of_eraseP h (beq_self_eq_true _) rw [erase_eq_eraseP]; exact ⟨l₁, l₂, fun h => h₁ _ h (beq_self_eq_true _), eq_of_beq e ▸ h₂, h₃⟩ @[simp] theorem length_erase_of_mem [LawfulBEq α] {a : α} {l : List α} (h : a ∈ l) : length (l.erase a) = Nat.pred (length l) := by rw [erase_eq_eraseP]; exact length_eraseP_of_mem h (beq_self_eq_true a) theorem erase_append_left [LawfulBEq α] {l₁ : List α} (l₂) (h : a ∈ l₁) : (l₁ ++ l₂).erase a = l₁.erase a ++ l₂ := by simp [erase_eq_eraseP]; exact eraseP_append_left (beq_self_eq_true a) l₂ h theorem erase_append_right [LawfulBEq α] {a : α} {l₁ : List α} (l₂ : List α) (h : a ∉ l₁) : (l₁ ++ l₂).erase a = (l₁ ++ l₂.erase a) := by rw [erase_eq_eraseP, erase_eq_eraseP, eraseP_append_right] intros b h' h''; rw [eq_of_beq h''] at h; exact h h' theorem erase_sublist (a : α) (l : List α) : l.erase a <+ l := erase_eq_eraseP' a l ▸ eraseP_sublist l theorem erase_subset (a : α) (l : List α) : l.erase a ⊆ l := (erase_sublist a l).subset theorem Sublist.erase (a : α) {l₁ l₂ : List α} (h : l₁ <+ l₂) : l₁.erase a <+ l₂.erase a := by simp only [erase_eq_eraseP']; exact h.eraseP @[deprecated] alias sublist.erase := Sublist.erase theorem mem_of_mem_erase {a b : α} {l : List α} (h : a ∈ l.erase b) : a ∈ l := erase_subset _ _ h @[simp] theorem mem_erase_of_ne [LawfulBEq α] {a b : α} {l : List α} (ab : a ≠ b) : a ∈ l.erase b ↔ a ∈ l := erase_eq_eraseP b l ▸ mem_eraseP_of_neg (mt eq_of_beq ab.symm)
.lake/packages/batteries/Batteries/Data/List/Lemmas.lean
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theorem erase_comm [LawfulBEq α] (a b : α) (l : List α) : (l.erase a).erase b = (l.erase b).erase a := by
if ab : a == b then rw [eq_of_beq ab] else ?_ if ha : a ∈ l then ?_ else simp only [erase_of_not_mem ha, erase_of_not_mem (mt mem_of_mem_erase ha)] if hb : b ∈ l then ?_ else simp only [erase_of_not_mem hb, erase_of_not_mem (mt mem_of_mem_erase hb)] match l, l.erase a, exists_erase_eq ha with | _, _, ⟨l₁, l₂, ha', rfl, rfl⟩ => if h₁ : b ∈ l₁ then rw [erase_append_left _ h₁, erase_append_left _ h₁, erase_append_right _ (mt mem_of_mem_erase ha'), erase_cons_head] else rw [erase_append_right _ h₁, erase_append_right _ h₁, erase_append_right _ ha', erase_cons_tail _ ab, erase_cons_head]
import Mathlib.Order.Filter.FilterProduct import Mathlib.Analysis.SpecificLimits.Basic #align_import data.real.hyperreal from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical open Filter Germ Topology def Hyperreal : Type := Germ (hyperfilter ℕ : Filter ℕ) ℝ deriving Inhabited #align hyperreal Hyperreal namespace Hyperreal @[inherit_doc] notation "ℝ*" => Hyperreal noncomputable instance : LinearOrderedField ℝ* := inferInstanceAs (LinearOrderedField (Germ _ _)) @[coe] def ofReal : ℝ → ℝ* := const noncomputable instance : CoeTC ℝ ℝ* := ⟨ofReal⟩ @[simp, norm_cast] theorem coe_eq_coe {x y : ℝ} : (x : ℝ*) = y ↔ x = y := Germ.const_inj #align hyperreal.coe_eq_coe Hyperreal.coe_eq_coe theorem coe_ne_coe {x y : ℝ} : (x : ℝ*) ≠ y ↔ x ≠ y := coe_eq_coe.not #align hyperreal.coe_ne_coe Hyperreal.coe_ne_coe @[simp, norm_cast] theorem coe_eq_zero {x : ℝ} : (x : ℝ*) = 0 ↔ x = 0 := coe_eq_coe #align hyperreal.coe_eq_zero Hyperreal.coe_eq_zero @[simp, norm_cast] theorem coe_eq_one {x : ℝ} : (x : ℝ*) = 1 ↔ x = 1 := coe_eq_coe #align hyperreal.coe_eq_one Hyperreal.coe_eq_one @[norm_cast] theorem coe_ne_zero {x : ℝ} : (x : ℝ*) ≠ 0 ↔ x ≠ 0 := coe_ne_coe #align hyperreal.coe_ne_zero Hyperreal.coe_ne_zero @[norm_cast] theorem coe_ne_one {x : ℝ} : (x : ℝ*) ≠ 1 ↔ x ≠ 1 := coe_ne_coe #align hyperreal.coe_ne_one Hyperreal.coe_ne_one @[simp, norm_cast] theorem coe_one : ↑(1 : ℝ) = (1 : ℝ*) := rfl #align hyperreal.coe_one Hyperreal.coe_one @[simp, norm_cast] theorem coe_zero : ↑(0 : ℝ) = (0 : ℝ*) := rfl #align hyperreal.coe_zero Hyperreal.coe_zero @[simp, norm_cast] theorem coe_inv (x : ℝ) : ↑x⁻¹ = (x⁻¹ : ℝ*) := rfl #align hyperreal.coe_inv Hyperreal.coe_inv @[simp, norm_cast] theorem coe_neg (x : ℝ) : ↑(-x) = (-x : ℝ*) := rfl #align hyperreal.coe_neg Hyperreal.coe_neg @[simp, norm_cast] theorem coe_add (x y : ℝ) : ↑(x + y) = (x + y : ℝ*) := rfl #align hyperreal.coe_add Hyperreal.coe_add #noalign hyperreal.coe_bit0 #noalign hyperreal.coe_bit1 -- See note [no_index around OfNat.ofNat] @[simp, norm_cast] theorem coe_ofNat (n : ℕ) [n.AtLeastTwo] : ((no_index (OfNat.ofNat n : ℝ)) : ℝ*) = OfNat.ofNat n := rfl @[simp, norm_cast] theorem coe_mul (x y : ℝ) : ↑(x * y) = (x * y : ℝ*) := rfl #align hyperreal.coe_mul Hyperreal.coe_mul @[simp, norm_cast] theorem coe_div (x y : ℝ) : ↑(x / y) = (x / y : ℝ*) := rfl #align hyperreal.coe_div Hyperreal.coe_div @[simp, norm_cast] theorem coe_sub (x y : ℝ) : ↑(x - y) = (x - y : ℝ*) := rfl #align hyperreal.coe_sub Hyperreal.coe_sub @[simp, norm_cast] theorem coe_le_coe {x y : ℝ} : (x : ℝ*) ≤ y ↔ x ≤ y := Germ.const_le_iff #align hyperreal.coe_le_coe Hyperreal.coe_le_coe @[simp, norm_cast] theorem coe_lt_coe {x y : ℝ} : (x : ℝ*) < y ↔ x < y := Germ.const_lt_iff #align hyperreal.coe_lt_coe Hyperreal.coe_lt_coe @[simp, norm_cast] theorem coe_nonneg {x : ℝ} : 0 ≤ (x : ℝ*) ↔ 0 ≤ x := coe_le_coe #align hyperreal.coe_nonneg Hyperreal.coe_nonneg @[simp, norm_cast] theorem coe_pos {x : ℝ} : 0 < (x : ℝ*) ↔ 0 < x := coe_lt_coe #align hyperreal.coe_pos Hyperreal.coe_pos @[simp, norm_cast] theorem coe_abs (x : ℝ) : ((|x| : ℝ) : ℝ*) = |↑x| := const_abs x #align hyperreal.coe_abs Hyperreal.coe_abs @[simp, norm_cast] theorem coe_max (x y : ℝ) : ((max x y : ℝ) : ℝ*) = max ↑x ↑y := Germ.const_max _ _ #align hyperreal.coe_max Hyperreal.coe_max @[simp, norm_cast] theorem coe_min (x y : ℝ) : ((min x y : ℝ) : ℝ*) = min ↑x ↑y := Germ.const_min _ _ #align hyperreal.coe_min Hyperreal.coe_min def ofSeq (f : ℕ → ℝ) : ℝ* := (↑f : Germ (hyperfilter ℕ : Filter ℕ) ℝ) #align hyperreal.of_seq Hyperreal.ofSeq -- Porting note (#10756): new lemma theorem ofSeq_surjective : Function.Surjective ofSeq := Quot.exists_rep theorem ofSeq_lt_ofSeq {f g : ℕ → ℝ} : ofSeq f < ofSeq g ↔ ∀ᶠ n in hyperfilter ℕ, f n < g n := Germ.coe_lt noncomputable def epsilon : ℝ* := ofSeq fun n => n⁻¹ #align hyperreal.epsilon Hyperreal.epsilon noncomputable def omega : ℝ* := ofSeq Nat.cast #align hyperreal.omega Hyperreal.omega @[inherit_doc] scoped notation "ε" => Hyperreal.epsilon @[inherit_doc] scoped notation "ω" => Hyperreal.omega @[simp] theorem inv_omega : ω⁻¹ = ε := rfl #align hyperreal.inv_omega Hyperreal.inv_omega @[simp] theorem inv_epsilon : ε⁻¹ = ω := @inv_inv _ _ ω #align hyperreal.inv_epsilon Hyperreal.inv_epsilon theorem omega_pos : 0 < ω := Germ.coe_pos.2 <| Nat.hyperfilter_le_atTop <| (eventually_gt_atTop 0).mono fun _ ↦ Nat.cast_pos.2 #align hyperreal.omega_pos Hyperreal.omega_pos theorem epsilon_pos : 0 < ε := inv_pos_of_pos omega_pos #align hyperreal.epsilon_pos Hyperreal.epsilon_pos theorem epsilon_ne_zero : ε ≠ 0 := epsilon_pos.ne' #align hyperreal.epsilon_ne_zero Hyperreal.epsilon_ne_zero theorem omega_ne_zero : ω ≠ 0 := omega_pos.ne' #align hyperreal.omega_ne_zero Hyperreal.omega_ne_zero theorem epsilon_mul_omega : ε * ω = 1 := @inv_mul_cancel _ _ ω omega_ne_zero #align hyperreal.epsilon_mul_omega Hyperreal.epsilon_mul_omega theorem lt_of_tendsto_zero_of_pos {f : ℕ → ℝ} (hf : Tendsto f atTop (𝓝 0)) : ∀ {r : ℝ}, 0 < r → ofSeq f < (r : ℝ*) := fun hr ↦ ofSeq_lt_ofSeq.2 <| (hf.eventually <| gt_mem_nhds hr).filter_mono Nat.hyperfilter_le_atTop #align hyperreal.lt_of_tendsto_zero_of_pos Hyperreal.lt_of_tendsto_zero_of_pos theorem neg_lt_of_tendsto_zero_of_pos {f : ℕ → ℝ} (hf : Tendsto f atTop (𝓝 0)) : ∀ {r : ℝ}, 0 < r → (-r : ℝ*) < ofSeq f := fun hr => have hg := hf.neg neg_lt_of_neg_lt (by rw [neg_zero] at hg; exact lt_of_tendsto_zero_of_pos hg hr) #align hyperreal.neg_lt_of_tendsto_zero_of_pos Hyperreal.neg_lt_of_tendsto_zero_of_pos theorem gt_of_tendsto_zero_of_neg {f : ℕ → ℝ} (hf : Tendsto f atTop (𝓝 0)) : ∀ {r : ℝ}, r < 0 → (r : ℝ*) < ofSeq f := fun {r} hr => by rw [← neg_neg r, coe_neg]; exact neg_lt_of_tendsto_zero_of_pos hf (neg_pos.mpr hr) #align hyperreal.gt_of_tendsto_zero_of_neg Hyperreal.gt_of_tendsto_zero_of_neg theorem epsilon_lt_pos (x : ℝ) : 0 < x → ε < x := lt_of_tendsto_zero_of_pos tendsto_inverse_atTop_nhds_zero_nat #align hyperreal.epsilon_lt_pos Hyperreal.epsilon_lt_pos def IsSt (x : ℝ*) (r : ℝ) := ∀ δ : ℝ, 0 < δ → (r - δ : ℝ*) < x ∧ x < r + δ #align hyperreal.is_st Hyperreal.IsSt noncomputable def st : ℝ* → ℝ := fun x => if h : ∃ r, IsSt x r then Classical.choose h else 0 #align hyperreal.st Hyperreal.st def Infinitesimal (x : ℝ*) := IsSt x 0 #align hyperreal.infinitesimal Hyperreal.Infinitesimal def InfinitePos (x : ℝ*) := ∀ r : ℝ, ↑r < x #align hyperreal.infinite_pos Hyperreal.InfinitePos def InfiniteNeg (x : ℝ*) := ∀ r : ℝ, x < r #align hyperreal.infinite_neg Hyperreal.InfiniteNeg def Infinite (x : ℝ*) := InfinitePos x ∨ InfiniteNeg x #align hyperreal.infinite Hyperreal.Infinite theorem isSt_ofSeq_iff_tendsto {f : ℕ → ℝ} {r : ℝ} : IsSt (ofSeq f) r ↔ Tendsto f (hyperfilter ℕ) (𝓝 r) := Iff.trans (forall₂_congr fun _ _ ↦ (ofSeq_lt_ofSeq.and ofSeq_lt_ofSeq).trans eventually_and.symm) (nhds_basis_Ioo_pos _).tendsto_right_iff.symm theorem isSt_iff_tendsto {x : ℝ*} {r : ℝ} : IsSt x r ↔ x.Tendsto (𝓝 r) := by rcases ofSeq_surjective x with ⟨f, rfl⟩ exact isSt_ofSeq_iff_tendsto theorem isSt_of_tendsto {f : ℕ → ℝ} {r : ℝ} (hf : Tendsto f atTop (𝓝 r)) : IsSt (ofSeq f) r := isSt_ofSeq_iff_tendsto.2 <| hf.mono_left Nat.hyperfilter_le_atTop #align hyperreal.is_st_of_tendsto Hyperreal.isSt_of_tendsto -- Porting note: moved up, renamed protected theorem IsSt.lt {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) (hrs : r < s) : x < y := by rcases ofSeq_surjective x with ⟨f, rfl⟩ rcases ofSeq_surjective y with ⟨g, rfl⟩ rw [isSt_ofSeq_iff_tendsto] at hxr hys exact ofSeq_lt_ofSeq.2 <| hxr.eventually_lt hys hrs #align hyperreal.lt_of_is_st_lt Hyperreal.IsSt.lt theorem IsSt.unique {x : ℝ*} {r s : ℝ} (hr : IsSt x r) (hs : IsSt x s) : r = s := by rcases ofSeq_surjective x with ⟨f, rfl⟩ rw [isSt_ofSeq_iff_tendsto] at hr hs exact tendsto_nhds_unique hr hs #align hyperreal.is_st_unique Hyperreal.IsSt.unique theorem IsSt.st_eq {x : ℝ*} {r : ℝ} (hxr : IsSt x r) : st x = r := by have h : ∃ r, IsSt x r := ⟨r, hxr⟩ rw [st, dif_pos h] exact (Classical.choose_spec h).unique hxr #align hyperreal.st_of_is_st Hyperreal.IsSt.st_eq theorem IsSt.not_infinite {x : ℝ*} {r : ℝ} (h : IsSt x r) : ¬Infinite x := fun hi ↦ hi.elim (fun hp ↦ lt_asymm (h 1 one_pos).2 (hp (r + 1))) fun hn ↦ lt_asymm (h 1 one_pos).1 (hn (r - 1)) theorem not_infinite_of_exists_st {x : ℝ*} : (∃ r : ℝ, IsSt x r) → ¬Infinite x := fun ⟨_r, hr⟩ => hr.not_infinite #align hyperreal.not_infinite_of_exists_st Hyperreal.not_infinite_of_exists_st theorem Infinite.st_eq {x : ℝ*} (hi : Infinite x) : st x = 0 := dif_neg fun ⟨_r, hr⟩ ↦ hr.not_infinite hi #align hyperreal.st_infinite Hyperreal.Infinite.st_eq theorem isSt_sSup {x : ℝ*} (hni : ¬Infinite x) : IsSt x (sSup { y : ℝ | (y : ℝ*) < x }) := let S : Set ℝ := { y : ℝ | (y : ℝ*) < x } let R : ℝ := sSup S let ⟨r₁, hr₁⟩ := not_forall.mp (not_or.mp hni).2 let ⟨r₂, hr₂⟩ := not_forall.mp (not_or.mp hni).1 have HR₁ : S.Nonempty := ⟨r₁ - 1, lt_of_lt_of_le (coe_lt_coe.2 <| sub_one_lt _) (not_lt.mp hr₁)⟩ have HR₂ : BddAbove S := ⟨r₂, fun _y hy => le_of_lt (coe_lt_coe.1 (lt_of_lt_of_le hy (not_lt.mp hr₂)))⟩ fun δ hδ => ⟨lt_of_not_le fun c => have hc : ∀ y ∈ S, y ≤ R - δ := fun _y hy => coe_le_coe.1 <| le_of_lt <| lt_of_lt_of_le hy c not_lt_of_le (csSup_le HR₁ hc) <| sub_lt_self R hδ, lt_of_not_le fun c => have hc : ↑(R + δ / 2) < x := lt_of_lt_of_le (add_lt_add_left (coe_lt_coe.2 (half_lt_self hδ)) R) c not_lt_of_le (le_csSup HR₂ hc) <| (lt_add_iff_pos_right _).mpr <| half_pos hδ⟩ #align hyperreal.is_st_Sup Hyperreal.isSt_sSup theorem exists_st_of_not_infinite {x : ℝ*} (hni : ¬Infinite x) : ∃ r : ℝ, IsSt x r := ⟨sSup { y : ℝ | (y : ℝ*) < x }, isSt_sSup hni⟩ #align hyperreal.exists_st_of_not_infinite Hyperreal.exists_st_of_not_infinite theorem st_eq_sSup {x : ℝ*} : st x = sSup { y : ℝ | (y : ℝ*) < x } := by rcases _root_.em (Infinite x) with (hx|hx) · rw [hx.st_eq] cases hx with | inl hx => convert Real.sSup_univ.symm exact Set.eq_univ_of_forall hx | inr hx => convert Real.sSup_empty.symm exact Set.eq_empty_of_forall_not_mem fun y hy ↦ hy.out.not_lt (hx _) · exact (isSt_sSup hx).st_eq #align hyperreal.st_eq_Sup Hyperreal.st_eq_sSup theorem exists_st_iff_not_infinite {x : ℝ*} : (∃ r : ℝ, IsSt x r) ↔ ¬Infinite x := ⟨not_infinite_of_exists_st, exists_st_of_not_infinite⟩ #align hyperreal.exists_st_iff_not_infinite Hyperreal.exists_st_iff_not_infinite theorem infinite_iff_not_exists_st {x : ℝ*} : Infinite x ↔ ¬∃ r : ℝ, IsSt x r := iff_not_comm.mp exists_st_iff_not_infinite #align hyperreal.infinite_iff_not_exists_st Hyperreal.infinite_iff_not_exists_st theorem IsSt.isSt_st {x : ℝ*} {r : ℝ} (hxr : IsSt x r) : IsSt x (st x) := by rwa [hxr.st_eq] #align hyperreal.is_st_st_of_is_st Hyperreal.IsSt.isSt_st theorem isSt_st_of_exists_st {x : ℝ*} (hx : ∃ r : ℝ, IsSt x r) : IsSt x (st x) := let ⟨_r, hr⟩ := hx; hr.isSt_st #align hyperreal.is_st_st_of_exists_st Hyperreal.isSt_st_of_exists_st theorem isSt_st' {x : ℝ*} (hx : ¬Infinite x) : IsSt x (st x) := (isSt_sSup hx).isSt_st #align hyperreal.is_st_st' Hyperreal.isSt_st' theorem isSt_st {x : ℝ*} (hx : st x ≠ 0) : IsSt x (st x) := isSt_st' <| mt Infinite.st_eq hx #align hyperreal.is_st_st Hyperreal.isSt_st theorem isSt_refl_real (r : ℝ) : IsSt r r := isSt_ofSeq_iff_tendsto.2 tendsto_const_nhds #align hyperreal.is_st_refl_real Hyperreal.isSt_refl_real theorem st_id_real (r : ℝ) : st r = r := (isSt_refl_real r).st_eq #align hyperreal.st_id_real Hyperreal.st_id_real theorem eq_of_isSt_real {r s : ℝ} : IsSt r s → r = s := (isSt_refl_real r).unique #align hyperreal.eq_of_is_st_real Hyperreal.eq_of_isSt_real theorem isSt_real_iff_eq {r s : ℝ} : IsSt r s ↔ r = s := ⟨eq_of_isSt_real, fun hrs => hrs ▸ isSt_refl_real r⟩ #align hyperreal.is_st_real_iff_eq Hyperreal.isSt_real_iff_eq theorem isSt_symm_real {r s : ℝ} : IsSt r s ↔ IsSt s r := by rw [isSt_real_iff_eq, isSt_real_iff_eq, eq_comm] #align hyperreal.is_st_symm_real Hyperreal.isSt_symm_real theorem isSt_trans_real {r s t : ℝ} : IsSt r s → IsSt s t → IsSt r t := by rw [isSt_real_iff_eq, isSt_real_iff_eq, isSt_real_iff_eq]; exact Eq.trans #align hyperreal.is_st_trans_real Hyperreal.isSt_trans_real theorem isSt_inj_real {r₁ r₂ s : ℝ} (h1 : IsSt r₁ s) (h2 : IsSt r₂ s) : r₁ = r₂ := Eq.trans (eq_of_isSt_real h1) (eq_of_isSt_real h2).symm #align hyperreal.is_st_inj_real Hyperreal.isSt_inj_real theorem isSt_iff_abs_sub_lt_delta {x : ℝ*} {r : ℝ} : IsSt x r ↔ ∀ δ : ℝ, 0 < δ → |x - ↑r| < δ := by simp only [abs_sub_lt_iff, sub_lt_iff_lt_add, IsSt, and_comm, add_comm] #align hyperreal.is_st_iff_abs_sub_lt_delta Hyperreal.isSt_iff_abs_sub_lt_delta theorem IsSt.map {x : ℝ*} {r : ℝ} (hxr : IsSt x r) {f : ℝ → ℝ} (hf : ContinuousAt f r) : IsSt (x.map f) (f r) := by rcases ofSeq_surjective x with ⟨g, rfl⟩ exact isSt_ofSeq_iff_tendsto.2 <| hf.tendsto.comp (isSt_ofSeq_iff_tendsto.1 hxr) theorem IsSt.map₂ {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) {f : ℝ → ℝ → ℝ} (hf : ContinuousAt (Function.uncurry f) (r, s)) : IsSt (x.map₂ f y) (f r s) := by rcases ofSeq_surjective x with ⟨x, rfl⟩ rcases ofSeq_surjective y with ⟨y, rfl⟩ rw [isSt_ofSeq_iff_tendsto] at hxr hys exact isSt_ofSeq_iff_tendsto.2 <| hf.tendsto.comp (hxr.prod_mk_nhds hys) theorem IsSt.add {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) : IsSt (x + y) (r + s) := hxr.map₂ hys continuous_add.continuousAt #align hyperreal.is_st_add Hyperreal.IsSt.add theorem IsSt.neg {x : ℝ*} {r : ℝ} (hxr : IsSt x r) : IsSt (-x) (-r) := hxr.map continuous_neg.continuousAt #align hyperreal.is_st_neg Hyperreal.IsSt.neg theorem IsSt.sub {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) : IsSt (x - y) (r - s) := hxr.map₂ hys continuous_sub.continuousAt #align hyperreal.is_st_sub Hyperreal.IsSt.sub theorem IsSt.le {x y : ℝ*} {r s : ℝ} (hrx : IsSt x r) (hsy : IsSt y s) (hxy : x ≤ y) : r ≤ s := not_lt.1 fun h ↦ hxy.not_lt <| hsy.lt hrx h #align hyperreal.is_st_le_of_le Hyperreal.IsSt.le theorem st_le_of_le {x y : ℝ*} (hix : ¬Infinite x) (hiy : ¬Infinite y) : x ≤ y → st x ≤ st y := (isSt_st' hix).le (isSt_st' hiy) #align hyperreal.st_le_of_le Hyperreal.st_le_of_le theorem lt_of_st_lt {x y : ℝ*} (hix : ¬Infinite x) (hiy : ¬Infinite y) : st x < st y → x < y := (isSt_st' hix).lt (isSt_st' hiy) #align hyperreal.lt_of_st_lt Hyperreal.lt_of_st_lt theorem infinitePos_def {x : ℝ*} : InfinitePos x ↔ ∀ r : ℝ, ↑r < x := Iff.rfl #align hyperreal.infinite_pos_def Hyperreal.infinitePos_def theorem infiniteNeg_def {x : ℝ*} : InfiniteNeg x ↔ ∀ r : ℝ, x < r := Iff.rfl #align hyperreal.infinite_neg_def Hyperreal.infiniteNeg_def theorem InfinitePos.pos {x : ℝ*} (hip : InfinitePos x) : 0 < x := hip 0 #align hyperreal.pos_of_infinite_pos Hyperreal.InfinitePos.pos theorem InfiniteNeg.lt_zero {x : ℝ*} : InfiniteNeg x → x < 0 := fun hin => hin 0 #align hyperreal.neg_of_infinite_neg Hyperreal.InfiniteNeg.lt_zero theorem Infinite.ne_zero {x : ℝ*} (hI : Infinite x) : x ≠ 0 := hI.elim (fun hip => hip.pos.ne') fun hin => hin.lt_zero.ne #align hyperreal.ne_zero_of_infinite Hyperreal.Infinite.ne_zero theorem not_infinite_zero : ¬Infinite 0 := fun hI => hI.ne_zero rfl #align hyperreal.not_infinite_zero Hyperreal.not_infinite_zero theorem InfiniteNeg.not_infinitePos {x : ℝ*} : InfiniteNeg x → ¬InfinitePos x := fun hn hp => (hn 0).not_lt (hp 0) #align hyperreal.not_infinite_pos_of_infinite_neg Hyperreal.InfiniteNeg.not_infinitePos theorem InfinitePos.not_infiniteNeg {x : ℝ*} (hp : InfinitePos x) : ¬InfiniteNeg x := fun hn ↦ hn.not_infinitePos hp #align hyperreal.not_infinite_neg_of_infinite_pos Hyperreal.InfinitePos.not_infiniteNeg theorem InfinitePos.neg {x : ℝ*} : InfinitePos x → InfiniteNeg (-x) := fun hp r => neg_lt.mp (hp (-r)) #align hyperreal.infinite_neg_neg_of_infinite_pos Hyperreal.InfinitePos.neg theorem InfiniteNeg.neg {x : ℝ*} : InfiniteNeg x → InfinitePos (-x) := fun hp r => lt_neg.mp (hp (-r)) #align hyperreal.infinite_pos_neg_of_infinite_neg Hyperreal.InfiniteNeg.neg -- Porting note: swapped LHS with RHS; added @[simp] @[simp] theorem infiniteNeg_neg {x : ℝ*} : InfiniteNeg (-x) ↔ InfinitePos x := ⟨fun hin => neg_neg x ▸ hin.neg, InfinitePos.neg⟩ #align hyperreal.infinite_pos_iff_infinite_neg_neg Hyperreal.infiniteNeg_negₓ -- Porting note: swapped LHS with RHS; added @[simp] @[simp] theorem infinitePos_neg {x : ℝ*} : InfinitePos (-x) ↔ InfiniteNeg x := ⟨fun hin => neg_neg x ▸ hin.neg, InfiniteNeg.neg⟩ #align hyperreal.infinite_neg_iff_infinite_pos_neg Hyperreal.infinitePos_negₓ -- Porting note: swapped LHS with RHS; added @[simp] @[simp] theorem infinite_neg {x : ℝ*} : Infinite (-x) ↔ Infinite x := or_comm.trans <| infiniteNeg_neg.or infinitePos_neg #align hyperreal.infinite_iff_infinite_neg Hyperreal.infinite_negₓ nonrec theorem Infinitesimal.not_infinite {x : ℝ*} (h : Infinitesimal x) : ¬Infinite x := h.not_infinite #align hyperreal.not_infinite_of_infinitesimal Hyperreal.Infinitesimal.not_infinite theorem Infinite.not_infinitesimal {x : ℝ*} (h : Infinite x) : ¬Infinitesimal x := fun h' ↦ h'.not_infinite h #align hyperreal.not_infinitesimal_of_infinite Hyperreal.Infinite.not_infinitesimal theorem InfinitePos.not_infinitesimal {x : ℝ*} (h : InfinitePos x) : ¬Infinitesimal x := Infinite.not_infinitesimal (Or.inl h) #align hyperreal.not_infinitesimal_of_infinite_pos Hyperreal.InfinitePos.not_infinitesimal theorem InfiniteNeg.not_infinitesimal {x : ℝ*} (h : InfiniteNeg x) : ¬Infinitesimal x := Infinite.not_infinitesimal (Or.inr h) #align hyperreal.not_infinitesimal_of_infinite_neg Hyperreal.InfiniteNeg.not_infinitesimal theorem infinitePos_iff_infinite_and_pos {x : ℝ*} : InfinitePos x ↔ Infinite x ∧ 0 < x := ⟨fun hip => ⟨Or.inl hip, hip 0⟩, fun ⟨hi, hp⟩ => hi.casesOn (fun hip => hip) fun hin => False.elim (not_lt_of_lt hp (hin 0))⟩ #align hyperreal.infinite_pos_iff_infinite_and_pos Hyperreal.infinitePos_iff_infinite_and_pos theorem infiniteNeg_iff_infinite_and_neg {x : ℝ*} : InfiniteNeg x ↔ Infinite x ∧ x < 0 := ⟨fun hip => ⟨Or.inr hip, hip 0⟩, fun ⟨hi, hp⟩ => hi.casesOn (fun hin => False.elim (not_lt_of_lt hp (hin 0))) fun hip => hip⟩ #align hyperreal.infinite_neg_iff_infinite_and_neg Hyperreal.infiniteNeg_iff_infinite_and_neg theorem infinitePos_iff_infinite_of_nonneg {x : ℝ*} (hp : 0 ≤ x) : InfinitePos x ↔ Infinite x := .symm <| or_iff_left fun h ↦ h.lt_zero.not_le hp #align hyperreal.infinite_pos_iff_infinite_of_nonneg Hyperreal.infinitePos_iff_infinite_of_nonneg theorem infinitePos_iff_infinite_of_pos {x : ℝ*} (hp : 0 < x) : InfinitePos x ↔ Infinite x := infinitePos_iff_infinite_of_nonneg hp.le #align hyperreal.infinite_pos_iff_infinite_of_pos Hyperreal.infinitePos_iff_infinite_of_pos theorem infiniteNeg_iff_infinite_of_neg {x : ℝ*} (hn : x < 0) : InfiniteNeg x ↔ Infinite x := .symm <| or_iff_right fun h ↦ h.pos.not_lt hn #align hyperreal.infinite_neg_iff_infinite_of_neg Hyperreal.infiniteNeg_iff_infinite_of_neg theorem infinitePos_abs_iff_infinite_abs {x : ℝ*} : InfinitePos |x| ↔ Infinite |x| := infinitePos_iff_infinite_of_nonneg (abs_nonneg _) #align hyperreal.infinite_pos_abs_iff_infinite_abs Hyperreal.infinitePos_abs_iff_infinite_abs -- Porting note: swapped LHS with RHS; added @[simp] @[simp] theorem infinite_abs_iff {x : ℝ*} : Infinite |x| ↔ Infinite x := by cases le_total 0 x <;> simp [*, abs_of_nonneg, abs_of_nonpos, infinite_neg] #align hyperreal.infinite_iff_infinite_abs Hyperreal.infinite_abs_iffₓ -- Porting note: swapped LHS with RHS; -- Porting note (#11215): TODO: make it a `simp` lemma @[simp] theorem infinitePos_abs_iff_infinite {x : ℝ*} : InfinitePos |x| ↔ Infinite x := infinitePos_abs_iff_infinite_abs.trans infinite_abs_iff #align hyperreal.infinite_iff_infinite_pos_abs Hyperreal.infinitePos_abs_iff_infiniteₓ theorem infinite_iff_abs_lt_abs {x : ℝ*} : Infinite x ↔ ∀ r : ℝ, (|r| : ℝ*) < |x| := infinitePos_abs_iff_infinite.symm.trans ⟨fun hI r => coe_abs r ▸ hI |r|, fun hR r => (le_abs_self _).trans_lt (hR r)⟩ #align hyperreal.infinite_iff_abs_lt_abs Hyperreal.infinite_iff_abs_lt_abs
Mathlib/Data/Real/Hyperreal.lean
540
545
theorem infinitePos_add_not_infiniteNeg {x y : ℝ*} : InfinitePos x → ¬InfiniteNeg y → InfinitePos (x + y) := by
intro hip hnin r cases' not_forall.mp hnin with r₂ hr₂ convert add_lt_add_of_lt_of_le (hip (r + -r₂)) (not_lt.mp hr₂) using 1 simp
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm] #align inv_mul_le_iff' inv_mul_le_iff' theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h] #align mul_inv_le_iff mul_inv_le_iff theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by rw [mul_comm, inv_mul_le_iff' h] #align mul_inv_le_iff' mul_inv_le_iff' theorem div_self_le_one (a : α) : a / a ≤ 1 := if h : a = 0 then by simp [h] else by simp [h] #align div_self_le_one div_self_le_one theorem inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_lt_iff' h #align inv_mul_lt_iff inv_mul_lt_iff theorem inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b := by rw [inv_mul_lt_iff h, mul_comm] #align inv_mul_lt_iff' inv_mul_lt_iff' theorem mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c := by rw [mul_comm, inv_mul_lt_iff h] #align mul_inv_lt_iff mul_inv_lt_iff theorem mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b := by rw [mul_comm, inv_mul_lt_iff' h] #align mul_inv_lt_iff' mul_inv_lt_iff' theorem inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a := by rw [inv_eq_one_div] exact div_le_iff ha #align inv_pos_le_iff_one_le_mul inv_pos_le_iff_one_le_mul theorem inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by rw [inv_eq_one_div] exact div_le_iff' ha #align inv_pos_le_iff_one_le_mul' inv_pos_le_iff_one_le_mul' theorem inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a := by rw [inv_eq_one_div] exact div_lt_iff ha #align inv_pos_lt_iff_one_lt_mul inv_pos_lt_iff_one_lt_mul theorem inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b := by rw [inv_eq_one_div] exact div_lt_iff' ha #align inv_pos_lt_iff_one_lt_mul' inv_pos_lt_iff_one_lt_mul' theorem div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c := by rcases eq_or_lt_of_le hb with (rfl | hb') · simp only [div_zero, hc] · rwa [div_le_iff hb'] #align div_le_of_nonneg_of_le_mul div_le_of_nonneg_of_le_mul lemma mul_le_of_nonneg_of_le_div (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ b / c) : a * c ≤ b := by obtain rfl | hc := hc.eq_or_lt · simpa using hb · rwa [le_div_iff hc] at h #align mul_le_of_nonneg_of_le_div mul_le_of_nonneg_of_le_div theorem div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 := div_le_of_nonneg_of_le_mul hb zero_le_one <| by rwa [one_mul] #align div_le_one_of_le div_le_one_of_le lemma mul_inv_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a * b⁻¹ ≤ 1 := by simpa only [← div_eq_mul_inv] using div_le_one_of_le h hb lemma inv_mul_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : b⁻¹ * a ≤ 1 := by simpa only [← div_eq_inv_mul] using div_le_one_of_le h hb @[gcongr] theorem inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := by rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul] #align inv_le_inv_of_le inv_le_inv_of_le theorem inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul] #align inv_le_inv inv_le_inv theorem inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv] #align inv_le inv_le theorem inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a := (inv_le ha ((inv_pos.2 ha).trans_le h)).1 h #align inv_le_of_inv_le inv_le_of_inv_le theorem le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv] #align le_inv le_inv theorem inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a := lt_iff_lt_of_le_iff_le (inv_le_inv hb ha) #align inv_lt_inv inv_lt_inv @[gcongr] theorem inv_lt_inv_of_lt (hb : 0 < b) (h : b < a) : a⁻¹ < b⁻¹ := (inv_lt_inv (hb.trans h) hb).2 h #align inv_lt_inv_of_lt inv_lt_inv_of_lt theorem inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a := lt_iff_lt_of_le_iff_le (le_inv hb ha) #align inv_lt inv_lt theorem inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a := (inv_lt ha ((inv_pos.2 ha).trans h)).1 h #align inv_lt_of_inv_lt inv_lt_of_inv_lt theorem lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ := lt_iff_lt_of_le_iff_le (inv_le hb ha) #align lt_inv lt_inv theorem inv_lt_one (ha : 1 < a) : a⁻¹ < 1 := by rwa [inv_lt (zero_lt_one.trans ha) zero_lt_one, inv_one] #align inv_lt_one inv_lt_one theorem one_lt_inv (h₁ : 0 < a) (h₂ : a < 1) : 1 < a⁻¹ := by rwa [lt_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_lt_inv one_lt_inv theorem inv_le_one (ha : 1 ≤ a) : a⁻¹ ≤ 1 := by rwa [inv_le (zero_lt_one.trans_le ha) zero_lt_one, inv_one] #align inv_le_one inv_le_one theorem one_le_inv (h₁ : 0 < a) (h₂ : a ≤ 1) : 1 ≤ a⁻¹ := by rwa [le_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_le_inv one_le_inv theorem inv_lt_one_iff_of_pos (h₀ : 0 < a) : a⁻¹ < 1 ↔ 1 < a := ⟨fun h₁ => inv_inv a ▸ one_lt_inv (inv_pos.2 h₀) h₁, inv_lt_one⟩ #align inv_lt_one_iff_of_pos inv_lt_one_iff_of_pos theorem inv_lt_one_iff : a⁻¹ < 1 ↔ a ≤ 0 ∨ 1 < a := by rcases le_or_lt a 0 with ha | ha · simp [ha, (inv_nonpos.2 ha).trans_lt zero_lt_one] · simp only [ha.not_le, false_or_iff, inv_lt_one_iff_of_pos ha] #align inv_lt_one_iff inv_lt_one_iff theorem one_lt_inv_iff : 1 < a⁻¹ ↔ 0 < a ∧ a < 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans h), inv_inv a ▸ inv_lt_one h⟩, and_imp.2 one_lt_inv⟩ #align one_lt_inv_iff one_lt_inv_iff theorem inv_le_one_iff : a⁻¹ ≤ 1 ↔ a ≤ 0 ∨ 1 ≤ a := by rcases em (a = 1) with (rfl | ha) · simp [le_rfl] · simp only [Ne.le_iff_lt (Ne.symm ha), Ne.le_iff_lt (mt inv_eq_one.1 ha), inv_lt_one_iff] #align inv_le_one_iff inv_le_one_iff theorem one_le_inv_iff : 1 ≤ a⁻¹ ↔ 0 < a ∧ a ≤ 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans_le h), inv_inv a ▸ inv_le_one h⟩, and_imp.2 one_le_inv⟩ #align one_le_inv_iff one_le_inv_iff @[mono, gcongr] lemma div_le_div_of_nonneg_right (hab : a ≤ b) (hc : 0 ≤ c) : a / c ≤ b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_le_mul_of_nonneg_right hab (one_div_nonneg.2 hc) #align div_le_div_of_le_of_nonneg div_le_div_of_nonneg_right @[gcongr] lemma div_lt_div_of_pos_right (h : a < b) (hc : 0 < c) : a / c < b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_lt_mul_of_pos_right h (one_div_pos.2 hc) #align div_lt_div_of_lt div_lt_div_of_pos_right -- Not a `mono` lemma b/c `div_le_div` is strictly more general @[gcongr] lemma div_le_div_of_nonneg_left (ha : 0 ≤ a) (hc : 0 < c) (h : c ≤ b) : a / b ≤ a / c := by rw [div_eq_mul_inv, div_eq_mul_inv] exact mul_le_mul_of_nonneg_left ((inv_le_inv (hc.trans_le h) hc).mpr h) ha #align div_le_div_of_le_left div_le_div_of_nonneg_left @[gcongr] lemma div_lt_div_of_pos_left (ha : 0 < a) (hc : 0 < c) (h : c < b) : a / b < a / c := by simpa only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv (hc.trans h) hc] #align div_lt_div_of_lt_left div_lt_div_of_pos_left -- 2024-02-16 @[deprecated] alias div_le_div_of_le_of_nonneg := div_le_div_of_nonneg_right @[deprecated] alias div_lt_div_of_lt := div_lt_div_of_pos_right @[deprecated] alias div_le_div_of_le_left := div_le_div_of_nonneg_left @[deprecated] alias div_lt_div_of_lt_left := div_lt_div_of_pos_left @[deprecated div_le_div_of_nonneg_right (since := "2024-02-16")] lemma div_le_div_of_le (hc : 0 ≤ c) (hab : a ≤ b) : a / c ≤ b / c := div_le_div_of_nonneg_right hab hc #align div_le_div_of_le div_le_div_of_le theorem div_le_div_right (hc : 0 < c) : a / c ≤ b / c ↔ a ≤ b := ⟨le_imp_le_of_lt_imp_lt fun hab ↦ div_lt_div_of_pos_right hab hc, fun hab ↦ div_le_div_of_nonneg_right hab hc.le⟩ #align div_le_div_right div_le_div_right theorem div_lt_div_right (hc : 0 < c) : a / c < b / c ↔ a < b := lt_iff_lt_of_le_iff_le <| div_le_div_right hc #align div_lt_div_right div_lt_div_right theorem div_lt_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b < a / c ↔ c < b := by simp only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv hb hc] #align div_lt_div_left div_lt_div_left theorem div_le_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b ≤ a / c ↔ c ≤ b := le_iff_le_iff_lt_iff_lt.2 (div_lt_div_left ha hc hb) #align div_le_div_left div_le_div_left theorem div_lt_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b < c / d ↔ a * d < c * b := by rw [lt_div_iff d0, div_mul_eq_mul_div, div_lt_iff b0] #align div_lt_div_iff div_lt_div_iff theorem div_le_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b ≤ c / d ↔ a * d ≤ c * b := by rw [le_div_iff d0, div_mul_eq_mul_div, div_le_iff b0] #align div_le_div_iff div_le_div_iff @[mono, gcongr] theorem div_le_div (hc : 0 ≤ c) (hac : a ≤ c) (hd : 0 < d) (hbd : d ≤ b) : a / b ≤ c / d := by rw [div_le_div_iff (hd.trans_le hbd) hd] exact mul_le_mul hac hbd hd.le hc #align div_le_div div_le_div @[gcongr] theorem div_lt_div (hac : a < c) (hbd : d ≤ b) (c0 : 0 ≤ c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans_le hbd) d0).2 (mul_lt_mul hac hbd d0 c0) #align div_lt_div div_lt_div theorem div_lt_div' (hac : a ≤ c) (hbd : d < b) (c0 : 0 < c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans hbd) d0).2 (mul_lt_mul' hac hbd d0.le c0) #align div_lt_div' div_lt_div' theorem div_le_self (ha : 0 ≤ a) (hb : 1 ≤ b) : a / b ≤ a := by simpa only [div_one] using div_le_div_of_nonneg_left ha zero_lt_one hb #align div_le_self div_le_self theorem div_lt_self (ha : 0 < a) (hb : 1 < b) : a / b < a := by simpa only [div_one] using div_lt_div_of_pos_left ha zero_lt_one hb #align div_lt_self div_lt_self theorem le_div_self (ha : 0 ≤ a) (hb₀ : 0 < b) (hb₁ : b ≤ 1) : a ≤ a / b := by simpa only [div_one] using div_le_div_of_nonneg_left ha hb₀ hb₁ #align le_div_self le_div_self theorem one_le_div (hb : 0 < b) : 1 ≤ a / b ↔ b ≤ a := by rw [le_div_iff hb, one_mul] #align one_le_div one_le_div theorem div_le_one (hb : 0 < b) : a / b ≤ 1 ↔ a ≤ b := by rw [div_le_iff hb, one_mul] #align div_le_one div_le_one theorem one_lt_div (hb : 0 < b) : 1 < a / b ↔ b < a := by rw [lt_div_iff hb, one_mul] #align one_lt_div one_lt_div theorem div_lt_one (hb : 0 < b) : a / b < 1 ↔ a < b := by rw [div_lt_iff hb, one_mul] #align div_lt_one div_lt_one theorem one_div_le (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ b ↔ 1 / b ≤ a := by simpa using inv_le ha hb #align one_div_le one_div_le theorem one_div_lt (ha : 0 < a) (hb : 0 < b) : 1 / a < b ↔ 1 / b < a := by simpa using inv_lt ha hb #align one_div_lt one_div_lt theorem le_one_div (ha : 0 < a) (hb : 0 < b) : a ≤ 1 / b ↔ b ≤ 1 / a := by simpa using le_inv ha hb #align le_one_div le_one_div theorem lt_one_div (ha : 0 < a) (hb : 0 < b) : a < 1 / b ↔ b < 1 / a := by simpa using lt_inv ha hb #align lt_one_div lt_one_div theorem one_div_le_one_div_of_le (ha : 0 < a) (h : a ≤ b) : 1 / b ≤ 1 / a := by simpa using inv_le_inv_of_le ha h #align one_div_le_one_div_of_le one_div_le_one_div_of_le theorem one_div_lt_one_div_of_lt (ha : 0 < a) (h : a < b) : 1 / b < 1 / a := by rwa [lt_div_iff' ha, ← div_eq_mul_one_div, div_lt_one (ha.trans h)] #align one_div_lt_one_div_of_lt one_div_lt_one_div_of_lt theorem le_of_one_div_le_one_div (ha : 0 < a) (h : 1 / a ≤ 1 / b) : b ≤ a := le_imp_le_of_lt_imp_lt (one_div_lt_one_div_of_lt ha) h #align le_of_one_div_le_one_div le_of_one_div_le_one_div theorem lt_of_one_div_lt_one_div (ha : 0 < a) (h : 1 / a < 1 / b) : b < a := lt_imp_lt_of_le_imp_le (one_div_le_one_div_of_le ha) h #align lt_of_one_div_lt_one_div lt_of_one_div_lt_one_div theorem one_div_le_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ 1 / b ↔ b ≤ a := div_le_div_left zero_lt_one ha hb #align one_div_le_one_div one_div_le_one_div theorem one_div_lt_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a < 1 / b ↔ b < a := div_lt_div_left zero_lt_one ha hb #align one_div_lt_one_div one_div_lt_one_div theorem one_lt_one_div (h1 : 0 < a) (h2 : a < 1) : 1 < 1 / a := by rwa [lt_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_lt_one_div one_lt_one_div theorem one_le_one_div (h1 : 0 < a) (h2 : a ≤ 1) : 1 ≤ 1 / a := by rwa [le_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_le_one_div one_le_one_div theorem add_halves (a : α) : a / 2 + a / 2 = a := by rw [div_add_div_same, ← two_mul, mul_div_cancel_left₀ a two_ne_zero] #align add_halves add_halves -- TODO: Generalize to `DivisionSemiring` theorem add_self_div_two (a : α) : (a + a) / 2 = a := by rw [← mul_two, mul_div_cancel_right₀ a two_ne_zero] #align add_self_div_two add_self_div_two theorem half_pos (h : 0 < a) : 0 < a / 2 := div_pos h zero_lt_two #align half_pos half_pos theorem one_half_pos : (0 : α) < 1 / 2 := half_pos zero_lt_one #align one_half_pos one_half_pos @[simp] theorem half_le_self_iff : a / 2 ≤ a ↔ 0 ≤ a := by rw [div_le_iff (zero_lt_two' α), mul_two, le_add_iff_nonneg_left] #align half_le_self_iff half_le_self_iff @[simp] theorem half_lt_self_iff : a / 2 < a ↔ 0 < a := by rw [div_lt_iff (zero_lt_two' α), mul_two, lt_add_iff_pos_left] #align half_lt_self_iff half_lt_self_iff alias ⟨_, half_le_self⟩ := half_le_self_iff #align half_le_self half_le_self alias ⟨_, half_lt_self⟩ := half_lt_self_iff #align half_lt_self half_lt_self alias div_two_lt_of_pos := half_lt_self #align div_two_lt_of_pos div_two_lt_of_pos theorem one_half_lt_one : (1 / 2 : α) < 1 := half_lt_self zero_lt_one #align one_half_lt_one one_half_lt_one theorem two_inv_lt_one : (2⁻¹ : α) < 1 := (one_div _).symm.trans_lt one_half_lt_one #align two_inv_lt_one two_inv_lt_one theorem left_lt_add_div_two : a < (a + b) / 2 ↔ a < b := by simp [lt_div_iff, mul_two] #align left_lt_add_div_two left_lt_add_div_two theorem add_div_two_lt_right : (a + b) / 2 < b ↔ a < b := by simp [div_lt_iff, mul_two] #align add_div_two_lt_right add_div_two_lt_right theorem add_thirds (a : α) : a / 3 + a / 3 + a / 3 = a := by rw [div_add_div_same, div_add_div_same, ← two_mul, ← add_one_mul 2 a, two_add_one_eq_three, mul_div_cancel_left₀ a three_ne_zero] @[simp] lemma div_pos_iff_of_pos_left (ha : 0 < a) : 0 < a / b ↔ 0 < b := by simp only [div_eq_mul_inv, mul_pos_iff_of_pos_left ha, inv_pos] @[simp] lemma div_pos_iff_of_pos_right (hb : 0 < b) : 0 < a / b ↔ 0 < a := by simp only [div_eq_mul_inv, mul_pos_iff_of_pos_right (inv_pos.2 hb)] theorem mul_le_mul_of_mul_div_le (h : a * (b / c) ≤ d) (hc : 0 < c) : b * a ≤ d * c := by rw [← mul_div_assoc] at h rwa [mul_comm b, ← div_le_iff hc] #align mul_le_mul_of_mul_div_le mul_le_mul_of_mul_div_le theorem div_mul_le_div_mul_of_div_le_div (h : a / b ≤ c / d) (he : 0 ≤ e) : a / (b * e) ≤ c / (d * e) := by rw [div_mul_eq_div_mul_one_div, div_mul_eq_div_mul_one_div] exact mul_le_mul_of_nonneg_right h (one_div_nonneg.2 he) #align div_mul_le_div_mul_of_div_le_div div_mul_le_div_mul_of_div_le_div theorem exists_pos_mul_lt {a : α} (h : 0 < a) (b : α) : ∃ c : α, 0 < c ∧ b * c < a := by have : 0 < a / max (b + 1) 1 := div_pos h (lt_max_iff.2 (Or.inr zero_lt_one)) refine ⟨a / max (b + 1) 1, this, ?_⟩ rw [← lt_div_iff this, div_div_cancel' h.ne'] exact lt_max_iff.2 (Or.inl <| lt_add_one _) #align exists_pos_mul_lt exists_pos_mul_lt theorem exists_pos_lt_mul {a : α} (h : 0 < a) (b : α) : ∃ c : α, 0 < c ∧ b < c * a := let ⟨c, hc₀, hc⟩ := exists_pos_mul_lt h b; ⟨c⁻¹, inv_pos.2 hc₀, by rwa [← div_eq_inv_mul, lt_div_iff hc₀]⟩ #align exists_pos_lt_mul exists_pos_lt_mul lemma monotone_div_right_of_nonneg (ha : 0 ≤ a) : Monotone (· / a) := fun _b _c hbc ↦ div_le_div_of_nonneg_right hbc ha lemma strictMono_div_right_of_pos (ha : 0 < a) : StrictMono (· / a) := fun _b _c hbc ↦ div_lt_div_of_pos_right hbc ha theorem Monotone.div_const {β : Type*} [Preorder β] {f : β → α} (hf : Monotone f) {c : α} (hc : 0 ≤ c) : Monotone fun x => f x / c := (monotone_div_right_of_nonneg hc).comp hf #align monotone.div_const Monotone.div_const theorem StrictMono.div_const {β : Type*} [Preorder β] {f : β → α} (hf : StrictMono f) {c : α} (hc : 0 < c) : StrictMono fun x => f x / c := by simpa only [div_eq_mul_inv] using hf.mul_const (inv_pos.2 hc) #align strict_mono.div_const StrictMono.div_const -- see Note [lower instance priority] instance (priority := 100) LinearOrderedSemiField.toDenselyOrdered : DenselyOrdered α where dense a₁ a₂ h := ⟨(a₁ + a₂) / 2, calc a₁ = (a₁ + a₁) / 2 := (add_self_div_two a₁).symm _ < (a₁ + a₂) / 2 := div_lt_div_of_pos_right (add_lt_add_left h _) zero_lt_two , calc (a₁ + a₂) / 2 < (a₂ + a₂) / 2 := div_lt_div_of_pos_right (add_lt_add_right h _) zero_lt_two _ = a₂ := add_self_div_two a₂ ⟩ #align linear_ordered_field.to_densely_ordered LinearOrderedSemiField.toDenselyOrdered theorem min_div_div_right {c : α} (hc : 0 ≤ c) (a b : α) : min (a / c) (b / c) = min a b / c := (monotone_div_right_of_nonneg hc).map_min.symm #align min_div_div_right min_div_div_right theorem max_div_div_right {c : α} (hc : 0 ≤ c) (a b : α) : max (a / c) (b / c) = max a b / c := (monotone_div_right_of_nonneg hc).map_max.symm #align max_div_div_right max_div_div_right theorem one_div_strictAntiOn : StrictAntiOn (fun x : α => 1 / x) (Set.Ioi 0) := fun _ x1 _ y1 xy => (one_div_lt_one_div (Set.mem_Ioi.mp y1) (Set.mem_Ioi.mp x1)).mpr xy #align one_div_strict_anti_on one_div_strictAntiOn theorem one_div_pow_le_one_div_pow_of_le (a1 : 1 ≤ a) {m n : ℕ} (mn : m ≤ n) : 1 / a ^ n ≤ 1 / a ^ m := by refine (one_div_le_one_div ?_ ?_).mpr (pow_le_pow_right a1 mn) <;> exact pow_pos (zero_lt_one.trans_le a1) _ #align one_div_pow_le_one_div_pow_of_le one_div_pow_le_one_div_pow_of_le theorem one_div_pow_lt_one_div_pow_of_lt (a1 : 1 < a) {m n : ℕ} (mn : m < n) : 1 / a ^ n < 1 / a ^ m := by refine (one_div_lt_one_div ?_ ?_).2 (pow_lt_pow_right a1 mn) <;> exact pow_pos (zero_lt_one.trans a1) _ #align one_div_pow_lt_one_div_pow_of_lt one_div_pow_lt_one_div_pow_of_lt theorem one_div_pow_anti (a1 : 1 ≤ a) : Antitone fun n : ℕ => 1 / a ^ n := fun _ _ => one_div_pow_le_one_div_pow_of_le a1 #align one_div_pow_anti one_div_pow_anti theorem one_div_pow_strictAnti (a1 : 1 < a) : StrictAnti fun n : ℕ => 1 / a ^ n := fun _ _ => one_div_pow_lt_one_div_pow_of_lt a1 #align one_div_pow_strict_anti one_div_pow_strictAnti theorem inv_strictAntiOn : StrictAntiOn (fun x : α => x⁻¹) (Set.Ioi 0) := fun _ hx _ hy xy => (inv_lt_inv hy hx).2 xy #align inv_strict_anti_on inv_strictAntiOn theorem inv_pow_le_inv_pow_of_le (a1 : 1 ≤ a) {m n : ℕ} (mn : m ≤ n) : (a ^ n)⁻¹ ≤ (a ^ m)⁻¹ := by convert one_div_pow_le_one_div_pow_of_le a1 mn using 1 <;> simp #align inv_pow_le_inv_pow_of_le inv_pow_le_inv_pow_of_le theorem inv_pow_lt_inv_pow_of_lt (a1 : 1 < a) {m n : ℕ} (mn : m < n) : (a ^ n)⁻¹ < (a ^ m)⁻¹ := by convert one_div_pow_lt_one_div_pow_of_lt a1 mn using 1 <;> simp #align inv_pow_lt_inv_pow_of_lt inv_pow_lt_inv_pow_of_lt theorem inv_pow_anti (a1 : 1 ≤ a) : Antitone fun n : ℕ => (a ^ n)⁻¹ := fun _ _ => inv_pow_le_inv_pow_of_le a1 #align inv_pow_anti inv_pow_anti theorem inv_pow_strictAnti (a1 : 1 < a) : StrictAnti fun n : ℕ => (a ^ n)⁻¹ := fun _ _ => inv_pow_lt_inv_pow_of_lt a1 #align inv_pow_strict_anti inv_pow_strictAnti
Mathlib/Algebra/Order/Field/Basic.lean
608
614
theorem IsGLB.mul_left {s : Set α} (ha : 0 ≤ a) (hs : IsGLB s b) : IsGLB ((fun b => a * b) '' s) (a * b) := by
rcases lt_or_eq_of_le ha with (ha | rfl) · exact (OrderIso.mulLeft₀ _ ha).isGLB_image'.2 hs · simp_rw [zero_mul] rw [hs.nonempty.image_const] exact isGLB_singleton
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
Mathlib/Data/List/Sigma.lean
456
461
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
import Mathlib.Data.Fintype.Option import Mathlib.Topology.Separation import Mathlib.Topology.Sets.Opens #align_import topology.alexandroff from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" open Set Filter Topology variable {X : Type*} def OnePoint (X : Type*) := Option X #align alexandroff OnePoint instance [Repr X] : Repr (OnePoint X) := ⟨fun o _ => match o with | none => "∞" | some a => "↑" ++ repr a⟩ namespace OnePoint @[match_pattern] def infty : OnePoint X := none #align alexandroff.infty OnePoint.infty @[inherit_doc] scoped notation "∞" => OnePoint.infty @[coe, match_pattern] def some : X → OnePoint X := Option.some instance : CoeTC X (OnePoint X) := ⟨some⟩ instance : Inhabited (OnePoint X) := ⟨∞⟩ instance [Fintype X] : Fintype (OnePoint X) := inferInstanceAs (Fintype (Option X)) instance infinite [Infinite X] : Infinite (OnePoint X) := inferInstanceAs (Infinite (Option X)) #align alexandroff.infinite OnePoint.infinite theorem coe_injective : Function.Injective ((↑) : X → OnePoint X) := Option.some_injective X #align alexandroff.coe_injective OnePoint.coe_injective @[norm_cast] theorem coe_eq_coe {x y : X} : (x : OnePoint X) = y ↔ x = y := coe_injective.eq_iff #align alexandroff.coe_eq_coe OnePoint.coe_eq_coe @[simp] theorem coe_ne_infty (x : X) : (x : OnePoint X) ≠ ∞ := nofun #align alexandroff.coe_ne_infty OnePoint.coe_ne_infty @[simp] theorem infty_ne_coe (x : X) : ∞ ≠ (x : OnePoint X) := nofun #align alexandroff.infty_ne_coe OnePoint.infty_ne_coe @[elab_as_elim] protected def rec {C : OnePoint X → Sort*} (h₁ : C ∞) (h₂ : ∀ x : X, C x) : ∀ z : OnePoint X, C z | ∞ => h₁ | (x : X) => h₂ x #align alexandroff.rec OnePoint.rec theorem isCompl_range_coe_infty : IsCompl (range ((↑) : X → OnePoint X)) {∞} := isCompl_range_some_none X #align alexandroff.is_compl_range_coe_infty OnePoint.isCompl_range_coe_infty -- Porting note: moved @[simp] to a new lemma theorem range_coe_union_infty : range ((↑) : X → OnePoint X) ∪ {∞} = univ := range_some_union_none X #align alexandroff.range_coe_union_infty OnePoint.range_coe_union_infty @[simp] theorem insert_infty_range_coe : insert ∞ (range (@some X)) = univ := insert_none_range_some _ @[simp] theorem range_coe_inter_infty : range ((↑) : X → OnePoint X) ∩ {∞} = ∅ := range_some_inter_none X #align alexandroff.range_coe_inter_infty OnePoint.range_coe_inter_infty @[simp] theorem compl_range_coe : (range ((↑) : X → OnePoint X))ᶜ = {∞} := compl_range_some X #align alexandroff.compl_range_coe OnePoint.compl_range_coe theorem compl_infty : ({∞}ᶜ : Set (OnePoint X)) = range ((↑) : X → OnePoint X) := (@isCompl_range_coe_infty X).symm.compl_eq #align alexandroff.compl_infty OnePoint.compl_infty theorem compl_image_coe (s : Set X) : ((↑) '' s : Set (OnePoint X))ᶜ = (↑) '' sᶜ ∪ {∞} := by rw [coe_injective.compl_image_eq, compl_range_coe] #align alexandroff.compl_image_coe OnePoint.compl_image_coe theorem ne_infty_iff_exists {x : OnePoint X} : x ≠ ∞ ↔ ∃ y : X, (y : OnePoint X) = x := by induction x using OnePoint.rec <;> simp #align alexandroff.ne_infty_iff_exists OnePoint.ne_infty_iff_exists instance canLift : CanLift (OnePoint X) X (↑) fun x => x ≠ ∞ := WithTop.canLift #align alexandroff.can_lift OnePoint.canLift theorem not_mem_range_coe_iff {x : OnePoint X} : x ∉ range some ↔ x = ∞ := by rw [← mem_compl_iff, compl_range_coe, mem_singleton_iff] #align alexandroff.not_mem_range_coe_iff OnePoint.not_mem_range_coe_iff theorem infty_not_mem_range_coe : ∞ ∉ range ((↑) : X → OnePoint X) := not_mem_range_coe_iff.2 rfl #align alexandroff.infty_not_mem_range_coe OnePoint.infty_not_mem_range_coe theorem infty_not_mem_image_coe {s : Set X} : ∞ ∉ ((↑) : X → OnePoint X) '' s := not_mem_subset (image_subset_range _ _) infty_not_mem_range_coe #align alexandroff.infty_not_mem_image_coe OnePoint.infty_not_mem_image_coe @[simp] theorem coe_preimage_infty : ((↑) : X → OnePoint X) ⁻¹' {∞} = ∅ := by ext simp #align alexandroff.coe_preimage_infty OnePoint.coe_preimage_infty variable [TopologicalSpace X] instance : TopologicalSpace (OnePoint X) where IsOpen s := (∞ ∈ s → IsCompact (((↑) : X → OnePoint X) ⁻¹' s)ᶜ) ∧ IsOpen (((↑) : X → OnePoint X) ⁻¹' s) isOpen_univ := by simp isOpen_inter s t := by rintro ⟨hms, hs⟩ ⟨hmt, ht⟩ refine ⟨?_, hs.inter ht⟩ rintro ⟨hms', hmt'⟩ simpa [compl_inter] using (hms hms').union (hmt hmt') isOpen_sUnion S ho := by suffices IsOpen ((↑) ⁻¹' ⋃₀ S : Set X) by refine ⟨?_, this⟩ rintro ⟨s, hsS : s ∈ S, hs : ∞ ∈ s⟩ refine IsCompact.of_isClosed_subset ((ho s hsS).1 hs) this.isClosed_compl ?_ exact compl_subset_compl.mpr (preimage_mono <| subset_sUnion_of_mem hsS) rw [preimage_sUnion] exact isOpen_biUnion fun s hs => (ho s hs).2 variable {s : Set (OnePoint X)} {t : Set X} theorem isOpen_def : IsOpen s ↔ (∞ ∈ s → IsCompact ((↑) ⁻¹' s : Set X)ᶜ) ∧ IsOpen ((↑) ⁻¹' s : Set X) := Iff.rfl #align alexandroff.is_open_def OnePoint.isOpen_def theorem isOpen_iff_of_mem' (h : ∞ ∈ s) : IsOpen s ↔ IsCompact ((↑) ⁻¹' s : Set X)ᶜ ∧ IsOpen ((↑) ⁻¹' s : Set X) := by simp [isOpen_def, h] #align alexandroff.is_open_iff_of_mem' OnePoint.isOpen_iff_of_mem'
Mathlib/Topology/Compactification/OnePoint.lean
216
218
theorem isOpen_iff_of_mem (h : ∞ ∈ s) : IsOpen s ↔ IsClosed ((↑) ⁻¹' s : Set X)ᶜ ∧ IsCompact ((↑) ⁻¹' s : Set X)ᶜ := by
simp only [isOpen_iff_of_mem' h, isClosed_compl_iff, and_comm]
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⟩ 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]⟩ @[simp] theorem zero_mk (s : S) : mk (0 : M) s = 0 := mk_eq.mpr ⟨1, by rw [one_smul, smul_zero, smul_zero, one_smul]⟩ #align localized_module.zero_mk LocalizedModule.zero_mk instance : Add (LocalizedModule S M) where add p1 p2 := liftOn₂ p1 p2 (fun x y => mk (y.2 • x.1 + x.2 • y.1) (x.2 * y.2)) <| fun ⟨m1, s1⟩ ⟨m2, s2⟩ ⟨m1', s1'⟩ ⟨m2', s2'⟩ ⟨u1, hu1⟩ ⟨u2, hu2⟩ => mk_eq.mpr ⟨u1 * u2, by -- Put everything in the same shape, sorting the terms using `simp` have hu1' := congr_arg ((u2 * s2 * s2') • ·) hu1 have hu2' := congr_arg ((u1 * s1 * s1') • ·) hu2 simp only [smul_add, ← mul_smul, smul_assoc, mul_assoc, mul_comm, mul_left_comm] at hu1' hu2' ⊢ rw [hu1', hu2']⟩ theorem mk_add_mk {m1 m2 : M} {s1 s2 : S} : mk m1 s1 + mk m2 s2 = mk (s2 • m1 + s1 • m2) (s1 * s2) := mk_eq.mpr <| ⟨1, rfl⟩ #align localized_module.mk_add_mk LocalizedModule.mk_add_mk private theorem add_assoc' (x y z : LocalizedModule S M) : x + y + z = x + (y + z) := by induction' x using LocalizedModule.induction_on with mx sx induction' y using LocalizedModule.induction_on with my sy induction' z using LocalizedModule.induction_on with mz sz simp only [mk_add_mk, smul_add] refine mk_eq.mpr ⟨1, ?_⟩ rw [one_smul, one_smul] congr 1 · rw [mul_assoc] · rw [eq_comm, mul_comm, add_assoc, mul_smul, mul_smul, ← mul_smul sx sz, mul_comm, mul_smul] private theorem add_comm' (x y : LocalizedModule S M) : x + y = y + x := LocalizedModule.induction_on₂ (fun m m' s s' => by rw [mk_add_mk, mk_add_mk, add_comm, mul_comm]) x y private theorem zero_add' (x : LocalizedModule S M) : 0 + x = x := induction_on (fun m s => by rw [← zero_mk s, mk_add_mk, smul_zero, zero_add, mk_eq]; exact ⟨1, by rw [one_smul, mul_smul, one_smul]⟩) x private theorem add_zero' (x : LocalizedModule S M) : x + 0 = x := induction_on (fun m s => by rw [← zero_mk s, mk_add_mk, smul_zero, add_zero, mk_eq]; exact ⟨1, by rw [one_smul, mul_smul, one_smul]⟩) x instance hasNatSMul : SMul ℕ (LocalizedModule S M) where smul n := nsmulRec n #align localized_module.has_nat_smul LocalizedModule.hasNatSMul private theorem nsmul_zero' (x : LocalizedModule S M) : (0 : ℕ) • x = 0 := LocalizedModule.induction_on (fun _ _ => rfl) x private theorem nsmul_succ' (n : ℕ) (x : LocalizedModule S M) : n.succ • x = n • x + x := LocalizedModule.induction_on (fun _ _ => rfl) x instance : AddCommMonoid (LocalizedModule S M) where add := (· + ·) add_assoc := add_assoc' zero := 0 zero_add := zero_add' add_zero := add_zero' nsmul := (· • ·) nsmul_zero := nsmul_zero' nsmul_succ := nsmul_succ' add_comm := add_comm' instance {M : Type*} [AddCommGroup M] [Module R M] : Neg (LocalizedModule S M) where neg p := liftOn p (fun x => LocalizedModule.mk (-x.1) x.2) fun ⟨m1, s1⟩ ⟨m2, s2⟩ ⟨u, hu⟩ => by rw [mk_eq] exact ⟨u, by simpa⟩ instance {M : Type*} [AddCommGroup M] [Module R M] : AddCommGroup (LocalizedModule S M) := { show AddCommMonoid (LocalizedModule S M) by infer_instance with add_left_neg := by rintro ⟨m, s⟩ change (liftOn (mk m s) (fun x => mk (-x.1) x.2) fun ⟨m1, s1⟩ ⟨m2, s2⟩ ⟨u, hu⟩ => by rw [mk_eq] exact ⟨u, by simpa⟩) + mk m s = 0 rw [liftOn_mk, mk_add_mk] simp -- TODO: fix the diamond zsmul := zsmulRec } theorem mk_neg {M : Type*} [AddCommGroup M] [Module R M] {m : M} {s : S} : mk (-m) s = -mk m s := rfl #align localized_module.mk_neg LocalizedModule.mk_neg instance {A : Type*} [Semiring A] [Algebra R A] {S : Submonoid R} : Monoid (LocalizedModule S A) := { mul := fun m₁ m₂ => liftOn₂ m₁ m₂ (fun x₁ x₂ => LocalizedModule.mk (x₁.1 * x₂.1) (x₁.2 * x₂.2)) (by rintro ⟨a₁, s₁⟩ ⟨a₂, s₂⟩ ⟨b₁, t₁⟩ ⟨b₂, t₂⟩ ⟨u₁, e₁⟩ ⟨u₂, e₂⟩ rw [mk_eq] use u₁ * u₂ dsimp only at e₁ e₂ ⊢ rw [eq_comm] trans (u₁ • t₁ • a₁) • u₂ • t₂ • a₂ on_goal 1 => rw [e₁, e₂] on_goal 2 => rw [eq_comm] all_goals rw [smul_smul, mul_mul_mul_comm, ← smul_eq_mul, ← smul_eq_mul A, smul_smul_smul_comm, mul_smul, mul_smul]) one := mk 1 (1 : S) one_mul := by rintro ⟨a, s⟩ exact mk_eq.mpr ⟨1, by simp only [one_mul, one_smul]⟩ mul_one := by rintro ⟨a, s⟩ exact mk_eq.mpr ⟨1, by simp only [mul_one, one_smul]⟩ mul_assoc := by rintro ⟨a₁, s₁⟩ ⟨a₂, s₂⟩ ⟨a₃, s₃⟩ apply mk_eq.mpr _ use 1 simp only [one_mul, smul_smul, ← mul_assoc, mul_right_comm] } instance {A : Type*} [Semiring A] [Algebra R A] {S : Submonoid R} : Semiring (LocalizedModule S A) := { show (AddCommMonoid (LocalizedModule S A)) by infer_instance, show (Monoid (LocalizedModule S A)) by infer_instance with left_distrib := by rintro ⟨a₁, s₁⟩ ⟨a₂, s₂⟩ ⟨a₃, s₃⟩ apply mk_eq.mpr _ use 1 simp only [one_mul, smul_add, mul_add, mul_smul_comm, smul_smul, ← mul_assoc, mul_right_comm] right_distrib := by rintro ⟨a₁, s₁⟩ ⟨a₂, s₂⟩ ⟨a₃, s₃⟩ apply mk_eq.mpr _ use 1 simp only [one_mul, smul_add, add_mul, smul_smul, ← mul_assoc, smul_mul_assoc, mul_right_comm] zero_mul := by rintro ⟨a, s⟩ exact mk_eq.mpr ⟨1, by simp only [zero_mul, smul_zero]⟩ mul_zero := by rintro ⟨a, s⟩ exact mk_eq.mpr ⟨1, by simp only [mul_zero, smul_zero]⟩ } instance {A : Type*} [CommSemiring A] [Algebra R A] {S : Submonoid R} : CommSemiring (LocalizedModule S A) := { show Semiring (LocalizedModule S A) by infer_instance with mul_comm := by rintro ⟨a₁, s₁⟩ ⟨a₂, s₂⟩ exact mk_eq.mpr ⟨1, by simp only [one_smul, mul_comm]⟩ } instance {A : Type*} [Ring A] [Algebra R A] {S : Submonoid R} : Ring (LocalizedModule S A) := { inferInstanceAs (AddCommGroup (LocalizedModule S A)), inferInstanceAs (Semiring (LocalizedModule S A)) with } instance {A : Type*} [CommRing A] [Algebra R A] {S : Submonoid R} : CommRing (LocalizedModule S A) := { show (Ring (LocalizedModule S A)) by infer_instance with mul_comm := by rintro ⟨a₁, s₁⟩ ⟨a₂, s₂⟩ exact mk_eq.mpr ⟨1, by simp only [one_smul, mul_comm]⟩ } theorem mk_mul_mk {A : Type*} [Semiring A] [Algebra R A] {a₁ a₂ : A} {s₁ s₂ : S} : mk a₁ s₁ * mk a₂ s₂ = mk (a₁ * a₂) (s₁ * s₂) := rfl #align localized_module.mk_mul_mk LocalizedModule.mk_mul_mk noncomputable instance : SMul T (LocalizedModule S M) where smul x p := let a := IsLocalization.sec S x liftOn p (fun p ↦ mk (a.1 • p.1) (a.2 * p.2)) (by rintro p p' ⟨s, h⟩ refine mk_eq.mpr ⟨s, ?_⟩ calc _ = a.2 • a.1 • s • p'.2 • p.1 := by simp_rw [Submonoid.smul_def, Submonoid.coe_mul, ← mul_smul]; ring_nf _ = a.2 • a.1 • s • p.2 • p'.1 := by rw [h] _ = s • (a.2 * p.2) • a.1 • p'.1 := by simp_rw [Submonoid.smul_def, ← mul_smul, Submonoid.coe_mul]; ring_nf ) theorem smul_def (x : T) (m : M) (s : S) : x • mk m s = mk ((IsLocalization.sec S x).1 • m) ((IsLocalization.sec S x).2 * s) := rfl theorem mk'_smul_mk (r : R) (m : M) (s s' : S) : IsLocalization.mk' T r s • mk m s' = mk (r • m) (s * s') := by rw [smul_def, mk_eq] obtain ⟨c, hc⟩ := IsLocalization.eq.mp <| IsLocalization.mk'_sec T (IsLocalization.mk' T r s) use c simp_rw [← mul_smul, Submonoid.smul_def, Submonoid.coe_mul, ← mul_smul, ← mul_assoc, mul_comm _ (s':R), mul_assoc, hc] theorem mk_smul_mk (r : R) (m : M) (s t : S) : Localization.mk r s • mk m t = mk (r • m) (s * t) := by rw [Localization.mk_eq_mk'] exact mk'_smul_mk .. #align localized_module.mk_smul_mk LocalizedModule.mk_smul_mk variable {T} private theorem one_smul_aux (p : LocalizedModule S M) : (1 : T) • p = p := by induction' p using LocalizedModule.induction_on with m s rw [show (1:T) = IsLocalization.mk' T (1:R) (1:S) by rw [IsLocalization.mk'_one, map_one]] rw [mk'_smul_mk, one_smul, one_mul] private theorem mul_smul_aux (x y : T) (p : LocalizedModule S M) : (x * y) • p = x • y • p := by induction' p using LocalizedModule.induction_on with m s rw [← IsLocalization.mk'_sec (M := S) T x, ← IsLocalization.mk'_sec (M := S) T y] simp_rw [← IsLocalization.mk'_mul, mk'_smul_mk, ← mul_smul, mul_assoc] private theorem smul_add_aux (x : T) (p q : LocalizedModule S M) : x • (p + q) = x • p + x • q := by induction' p using LocalizedModule.induction_on with m s induction' q using LocalizedModule.induction_on with n t rw [smul_def, smul_def, mk_add_mk, mk_add_mk] rw [show x • _ = IsLocalization.mk' T _ _ • _ by rw [IsLocalization.mk'_sec (M := S) T]] rw [← IsLocalization.mk'_cancel _ _ (IsLocalization.sec S x).2, mk'_smul_mk] congr 1 · simp only [Submonoid.smul_def, smul_add, ← mul_smul, Submonoid.coe_mul]; ring_nf · rw [mul_mul_mul_comm] -- ring does not work here private theorem smul_zero_aux (x : T) : x • (0 : LocalizedModule S M) = 0 := by erw [smul_def, smul_zero, zero_mk] private theorem add_smul_aux (x y : T) (p : LocalizedModule S M) : (x + y) • p = x • p + y • p := by induction' p using LocalizedModule.induction_on with m s rw [smul_def T x, smul_def T y, mk_add_mk, show (x + y) • _ = IsLocalization.mk' T _ _ • _ by rw [← IsLocalization.mk'_sec (M := S) T x, ← IsLocalization.mk'_sec (M := S) T y, ← IsLocalization.mk'_add, IsLocalization.mk'_cancel _ _ s], mk'_smul_mk, ← smul_assoc, ← smul_assoc, ← add_smul] congr 1 · simp only [Submonoid.smul_def, Submonoid.coe_mul, smul_eq_mul]; ring_nf · rw [mul_mul_mul_comm, mul_assoc] -- ring does not work here private theorem zero_smul_aux (p : LocalizedModule S M) : (0 : T) • p = 0 := by induction' p using LocalizedModule.induction_on with m s rw [show (0:T) = IsLocalization.mk' T (0:R) (1:S) by rw [IsLocalization.mk'_zero], mk'_smul_mk, zero_smul, zero_mk] noncomputable instance isModule : Module T (LocalizedModule S M) where smul := (· • ·) one_smul := one_smul_aux mul_smul := mul_smul_aux smul_add := smul_add_aux smul_zero := smul_zero_aux add_smul := add_smul_aux zero_smul := zero_smul_aux @[simp] theorem mk_cancel_common_left (s' s : S) (m : M) : mk (s' • m) (s' * s) = mk m s := mk_eq.mpr ⟨1, by simp only [mul_smul, one_smul] rw [smul_comm]⟩ #align localized_module.mk_cancel_common_left LocalizedModule.mk_cancel_common_left @[simp] theorem mk_cancel (s : S) (m : M) : mk (s • m) s = mk m 1 := mk_eq.mpr ⟨1, by simp⟩ #align localized_module.mk_cancel LocalizedModule.mk_cancel @[simp] theorem mk_cancel_common_right (s s' : S) (m : M) : mk (s' • m) (s * s') = mk m s := mk_eq.mpr ⟨1, by simp [mul_smul]⟩ #align localized_module.mk_cancel_common_right LocalizedModule.mk_cancel_common_right noncomputable instance isModule' : Module R (LocalizedModule S M) := { Module.compHom (LocalizedModule S M) <| algebraMap R (Localization S) with } #align localized_module.is_module' LocalizedModule.isModule' theorem smul'_mk (r : R) (s : S) (m : M) : r • mk m s = mk (r • m) s := by erw [mk_smul_mk r m 1 s, one_mul] #align localized_module.smul'_mk LocalizedModule.smul'_mk theorem smul'_mul {A : Type*} [Semiring A] [Algebra R A] (x : T) (p₁ p₂ : LocalizedModule S A) : x • p₁ * p₂ = x • (p₁ * p₂) := by induction p₁, p₂ using induction_on₂ with | _ a₁ s₁ a₂ s₂ => _ rw [mk_mul_mk, smul_def, smul_def, mk_mul_mk, mul_assoc, smul_mul_assoc]
Mathlib/Algebra/Module/LocalizedModule.lean
436
439
theorem mul_smul' {A : Type*} [Semiring A] [Algebra R A] (x : T) (p₁ p₂ : LocalizedModule S A) : p₁ * x • p₂ = x • (p₁ * p₂) := by
induction p₁, p₂ using induction_on₂ with | _ a₁ s₁ a₂ s₂ => _ rw [smul_def, mk_mul_mk, mk_mul_mk, smul_def, mul_left_comm, mul_smul_comm]
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Defs.Filter #align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" noncomputable section open Set Filter universe u v w x def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T) (sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T) (union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where IsOpen X := Xᶜ ∈ T isOpen_univ := by simp [empty_mem] isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht isOpen_sUnion s hs := by simp only [Set.compl_sUnion] exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy #align topological_space.of_closed TopologicalSpace.ofClosed section TopologicalSpace variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop} open Topology lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl #align is_open_mk isOpen_mk @[ext] protected theorem TopologicalSpace.ext : ∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align topological_space_eq TopologicalSpace.ext section variable [TopologicalSpace X] end protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} : t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s := ⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ #align topological_space_eq_iff TopologicalSpace.ext_iff theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s := rfl #align is_open_fold isOpen_fold variable [TopologicalSpace X] theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) := isOpen_sUnion (forall_mem_range.2 h) #align is_open_Union isOpen_iUnion theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋃ i ∈ s, f i) := isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi #align is_open_bUnion isOpen_biUnion theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩) #align is_open.union IsOpen.union lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) : IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩ rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter] exact isOpen_iUnion fun i ↦ h i @[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim #align is_open_empty isOpen_empty theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) : (∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) := Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by simp only [sInter_insert, forall_mem_insert] at h ⊢ exact h.1.inter (ih h.2) #align is_open_sInter Set.Finite.isOpen_sInter theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h) #align is_open_bInter Set.Finite.isOpen_biInter theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) : IsOpen (⋂ i, s i) := (finite_range _).isOpen_sInter (forall_mem_range.2 h) #align is_open_Inter isOpen_iInter_of_finite theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := s.finite_toSet.isOpen_biInter h #align is_open_bInter_finset isOpen_biInter_finset @[simp] -- Porting note: added `simp` theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*] #align is_open_const isOpen_const theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } := IsOpen.inter #align is_open.and IsOpen.and @[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s := ⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩ #align is_open_compl_iff isOpen_compl_iff theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} : t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by rw [TopologicalSpace.ext_iff, compl_surjective.forall] simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂] alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed -- Porting note (#10756): new lemma theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩ @[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const #align is_closed_empty isClosed_empty @[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const #align is_closed_univ isClosed_univ theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter #align is_closed.union IsClosed.union theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion #align is_closed_sInter isClosed_sInter theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) := isClosed_sInter <| forall_mem_range.2 h #align is_closed_Inter isClosed_iInter theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋂ i ∈ s, f i) := isClosed_iInter fun i => isClosed_iInter <| h i #align is_closed_bInter isClosed_biInter @[simp] theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by rw [← isOpen_compl_iff, compl_compl] #align is_closed_compl_iff isClosed_compl_iff alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff #align is_open.is_closed_compl IsOpen.isClosed_compl theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) := IsOpen.inter h₁ h₂.isOpen_compl #align is_open.sdiff IsOpen.sdiff theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by rw [← isOpen_compl_iff] at * rw [compl_inter] exact IsOpen.union h₁ h₂ #align is_closed.inter IsClosed.inter theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) := IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂) #align is_closed.sdiff IsClosed.sdiff theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact hs.isOpen_biInter h #align is_closed_bUnion Set.Finite.isClosed_biUnion lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := s.finite_toSet.isClosed_biUnion h theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) : IsClosed (⋃ i, s i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact isOpen_iInter_of_finite h #align is_closed_Union isClosed_iUnion_of_finite theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) : IsClosed { x | p x → q x } := by simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq #align is_closed_imp isClosed_imp theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } := isOpen_compl_iff.mpr #align is_closed.not IsClosed.not theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm] #align mem_interior mem_interiorₓ @[simp] theorem isOpen_interior : IsOpen (interior s) := isOpen_sUnion fun _ => And.left #align is_open_interior isOpen_interior theorem interior_subset : interior s ⊆ s := sUnion_subset fun _ => And.right #align interior_subset interior_subset theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s := subset_sUnion_of_mem ⟨h₂, h₁⟩ #align interior_maximal interior_maximal theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s := interior_subset.antisymm (interior_maximal (Subset.refl s) h) #align is_open.interior_eq IsOpen.interior_eq theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s := ⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩ #align interior_eq_iff_is_open interior_eq_iff_isOpen theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and] #align subset_interior_iff_is_open subset_interior_iff_isOpen theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t := ⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩ #align is_open.subset_interior_iff IsOpen.subset_interior_iff theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := ⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ => htU.trans (interior_maximal hUs hU)⟩ #align subset_interior_iff subset_interior_iff lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by simp [interior] @[mono, gcongr] theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t := interior_maximal (Subset.trans interior_subset h) isOpen_interior #align interior_mono interior_mono @[simp] theorem interior_empty : interior (∅ : Set X) = ∅ := isOpen_empty.interior_eq #align interior_empty interior_empty @[simp] theorem interior_univ : interior (univ : Set X) = univ := isOpen_univ.interior_eq #align interior_univ interior_univ @[simp] theorem interior_eq_univ : interior s = univ ↔ s = univ := ⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩ #align interior_eq_univ interior_eq_univ @[simp] theorem interior_interior : interior (interior s) = interior s := isOpen_interior.interior_eq #align interior_interior interior_interior @[simp] theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t := (Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <| interior_maximal (inter_subset_inter interior_subset interior_subset) <| isOpen_interior.inter isOpen_interior #align interior_inter interior_inter theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := hs.induction_on (by simp) <| by intros; simp [*] theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) : interior (⋂₀ S) = ⋂ s ∈ S, interior s := by rw [sInter_eq_biInter, hS.interior_biInter] @[simp] theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := s.finite_toSet.interior_biInter f #align finset.interior_Inter Finset.interior_iInter @[simp] theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) : interior (⋂ i, f i) = ⋂ i, interior (f i) := by rw [← sInter_range, (finite_range f).interior_sInter, biInter_range] #align interior_Inter interior_iInter_of_finite theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s := have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ => by_contradiction fun hx₂ : x ∉ s => have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂ have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff] have : u \ s ⊆ ∅ := by rwa [h₂] at this this ⟨hx₁, hx₂⟩ Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left) #align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by rw [← subset_interior_iff_isOpen] simp only [subset_def, mem_interior] #align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) := subset_iInter fun _ => interior_mono <| iInter_subset _ _ #align interior_Inter_subset interior_iInter_subset theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) : interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) := (interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _ #align interior_Inter₂_subset interior_iInter₂_subset theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s := calc interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter] _ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _ #align interior_sInter_subset interior_sInter_subset theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) := h.lift' fun _ _ ↦ interior_mono theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦ mem_of_superset (mem_lift' hs) interior_subset theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l := le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi @[simp] theorem isClosed_closure : IsClosed (closure s) := isClosed_sInter fun _ => And.left #align is_closed_closure isClosed_closure theorem subset_closure : s ⊆ closure s := subset_sInter fun _ => And.right #align subset_closure subset_closure theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align not_mem_of_not_mem_closure not_mem_of_not_mem_closure theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t := sInter_subset_of_mem ⟨h₂, h₁⟩ #align closure_minimal closure_minimal theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) : Disjoint (closure s) t := disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl #align disjoint.closure_left Disjoint.closure_left theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) : Disjoint s (closure t) := (hd.symm.closure_left hs).symm #align disjoint.closure_right Disjoint.closure_right theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s := Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure #align is_closed.closure_eq IsClosed.closure_eq theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s := closure_minimal (Subset.refl _) hs #align is_closed.closure_subset IsClosed.closure_subset theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t := ⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩ #align is_closed.closure_subset_iff IsClosed.closure_subset_iff theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) : x ∈ s ↔ closure ({x} : Set X) ⊆ s := (hs.closure_subset_iff.trans Set.singleton_subset_iff).symm #align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset @[mono, gcongr] theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t := closure_minimal (Subset.trans h subset_closure) isClosed_closure #align closure_mono closure_mono theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ => closure_mono #align monotone_closure monotone_closure theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure] #align diff_subset_closure_iff diff_subset_closure_iff theorem closure_inter_subset_inter_closure (s t : Set X) : closure (s ∩ t) ⊆ closure s ∩ closure t := (monotone_closure X).map_inf_le s t #align closure_inter_subset_inter_closure closure_inter_subset_inter_closure theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by rw [subset_closure.antisymm h]; exact isClosed_closure #align is_closed_of_closure_subset isClosed_of_closure_subset theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s := ⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩ #align closure_eq_iff_is_closed closure_eq_iff_isClosed theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s := ⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩ #align closure_subset_iff_is_closed closure_subset_iff_isClosed @[simp] theorem closure_empty : closure (∅ : Set X) = ∅ := isClosed_empty.closure_eq #align closure_empty closure_empty @[simp] theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ := ⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩ #align closure_empty_iff closure_empty_iff @[simp] theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff] #align closure_nonempty_iff closure_nonempty_iff alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff #align set.nonempty.of_closure Set.Nonempty.of_closure #align set.nonempty.closure Set.Nonempty.closure @[simp] theorem closure_univ : closure (univ : Set X) = univ := isClosed_univ.closure_eq #align closure_univ closure_univ @[simp] theorem closure_closure : closure (closure s) = closure s := isClosed_closure.closure_eq #align closure_closure closure_closure theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by rw [interior, closure, compl_sUnion, compl_image_set_of] simp only [compl_subset_compl, isOpen_compl_iff] #align closure_eq_compl_interior_compl closure_eq_compl_interior_compl @[simp] theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by simp [closure_eq_compl_interior_compl, compl_inter] #align closure_union closure_union theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by simp [closure_eq_compl_interior_compl, hs.interior_biInter] theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) : closure (⋃₀ S) = ⋃ s ∈ S, closure s := by rw [sUnion_eq_biUnion, hS.closure_biUnion] @[simp] theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := s.finite_toSet.closure_biUnion f #align finset.closure_bUnion Finset.closure_biUnion @[simp] theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) : closure (⋃ i, f i) = ⋃ i, closure (f i) := by rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range] #align closure_Union closure_iUnion_of_finite theorem interior_subset_closure : interior s ⊆ closure s := Subset.trans interior_subset subset_closure #align interior_subset_closure interior_subset_closure @[simp] theorem interior_compl : interior sᶜ = (closure s)ᶜ := by simp [closure_eq_compl_interior_compl] #align interior_compl interior_compl @[simp] theorem closure_compl : closure sᶜ = (interior s)ᶜ := by simp [closure_eq_compl_interior_compl] #align closure_compl closure_compl theorem mem_closure_iff : x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty := ⟨fun h o oo ao => by_contradiction fun os => have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩ closure_minimal this (isClosed_compl_iff.2 oo) h ao, fun H _ ⟨h₁, h₂⟩ => by_contradiction fun nc => let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc hc (h₂ hs)⟩ #align mem_closure_iff mem_closure_iff theorem closure_inter_open_nonempty_iff (h : IsOpen t) : (closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty := ⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h => h.mono <| inf_le_inf_right t subset_closure⟩ #align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure := le_lift'.2 fun _ h => mem_of_superset h subset_closure #align filter.le_lift'_closure Filter.le_lift'_closure theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) := h.lift' (monotone_closure X) #align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l := le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi)) l.le_lift'_closure #align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self @[simp] theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ := ⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h => h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩ #align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot theorem dense_iff_closure_eq : Dense s ↔ closure s = univ := eq_univ_iff_forall.symm #align dense_iff_closure_eq dense_iff_closure_eq alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq #align dense.closure_eq Dense.closure_eq theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by rw [dense_iff_closure_eq, closure_compl, compl_univ_iff] #align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ := interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl] #align dense.interior_compl Dense.interior_compl @[simp] theorem dense_closure : Dense (closure s) ↔ Dense s := by rw [Dense, Dense, closure_closure] #align dense_closure dense_closure protected alias ⟨_, Dense.closure⟩ := dense_closure alias ⟨Dense.of_closure, _⟩ := dense_closure #align dense.of_closure Dense.of_closure #align dense.closure Dense.closure @[simp] theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial #align dense_univ dense_univ theorem dense_iff_inter_open : Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by constructor <;> intro h · rintro U U_op ⟨x, x_in⟩ exact mem_closure_iff.1 (h _) U U_op x_in · intro x rw [mem_closure_iff] intro U U_op x_in exact h U U_op ⟨_, x_in⟩ #align dense_iff_inter_open dense_iff_inter_open alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open #align dense.inter_open_nonempty Dense.inter_open_nonempty theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U) (hne : U.Nonempty) : ∃ x ∈ s, x ∈ U := let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne ⟨x, hx.2, hx.1⟩ #align dense.exists_mem_open Dense.exists_mem_open theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X := ⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ => let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩ ⟨y, hy.2⟩⟩ #align dense.nonempty_iff Dense.nonempty_iff theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty := hs.nonempty_iff.2 h #align dense.nonempty Dense.nonempty @[mono] theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x => closure_mono h (hd x) #align dense.mono Dense.mono theorem dense_compl_singleton_iff_not_open : Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by constructor · intro hd ho exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) · refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_ obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩ exact ho hU #align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open @[simp] theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s := rfl #align closure_diff_interior closure_diff_interior lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq, ← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter] @[simp] theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure] #align closure_diff_frontier closure_diff_frontier @[simp] theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure, inter_eq_self_of_subset_right interior_subset, empty_union] #align self_diff_frontier self_diff_frontier theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by rw [closure_compl, frontier, diff_eq] #align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure theorem frontier_subset_closure : frontier s ⊆ closure s := diff_subset #align frontier_subset_closure frontier_subset_closure theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s := frontier_subset_closure.trans hs.closure_eq.subset #align is_closed.frontier_subset IsClosed.frontier_subset theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s := diff_subset_diff closure_closure.subset <| interior_mono subset_closure #align frontier_closure_subset frontier_closure_subset theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s := diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset #align frontier_interior_subset frontier_interior_subset @[simp] theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm] #align frontier_compl frontier_compl @[simp] theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier] #align frontier_univ frontier_univ @[simp] theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier] #align frontier_empty frontier_empty theorem frontier_inter_subset (s t : Set X) : frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union] refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_ simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc, inter_comm (closure t)] #align frontier_inter_subset frontier_inter_subset theorem frontier_union_subset (s t : Set X) : frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ #align frontier_union_subset frontier_union_subset theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by rw [frontier, hs.closure_eq] #align is_closed.frontier_eq IsClosed.frontier_eq theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by rw [frontier, hs.interior_eq] #align is_open.frontier_eq IsOpen.frontier_eq theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by rw [hs.frontier_eq, inter_diff_self] #align is_open.inter_frontier_eq IsOpen.inter_frontier_eq theorem isClosed_frontier : IsClosed (frontier s) := by rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure #align is_closed_frontier isClosed_frontier theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by have A : frontier s = s \ interior s := h.frontier_eq have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset have C : interior (frontier s) ⊆ frontier s := interior_subset have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) := subset_inter B (by simpa [A] using C) rwa [inter_diff_self, subset_empty_iff] at this #align interior_frontier interior_frontier theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s := (union_diff_cancel interior_subset_closure).symm #align closure_eq_interior_union_frontier closure_eq_interior_union_frontier theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s := (union_diff_cancel' interior_subset subset_closure).symm #align closure_eq_self_union_frontier closure_eq_self_union_frontier theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t := subset_compl_iff_disjoint_right.1 <| frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht #align disjoint.frontier_left Disjoint.frontier_left theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) := (hd.symm.frontier_left hs).symm #align disjoint.frontier_right Disjoint.frontier_right theorem frontier_eq_inter_compl_interior : frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior] #align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior theorem compl_frontier_eq_union_interior : (frontier s)ᶜ = interior s ∪ interior sᶜ := by rw [frontier_eq_inter_compl_interior] simp only [compl_inter, compl_compl] #align compl_frontier_eq_union_interior compl_frontier_eq_union_interior theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and] #align nhds_def' nhds_def' theorem nhds_basis_opens (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by rw [nhds_def] exact hasBasis_biInf_principal (fun s ⟨has, hs⟩ t ⟨hat, ht⟩ => ⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩) ⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩ #align nhds_basis_opens nhds_basis_opens theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl := ⟨fun t => (nhds_basis_opens x).mem_iff.trans <| compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩ #align nhds_basis_closeds nhds_basis_closeds @[simp] theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x := (nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) := lift'_nhds_interior x ▸ h.lift'_interior theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def] #align le_nhds_iff le_nhds_iff theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf #align nhds_le_of_le nhds_le_of_le theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := (nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ => ⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩ #align mem_nhds_iff mem_nhds_iffₓ theorem eventually_nhds_iff {p : X → Prop} : (∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t := mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq] #align eventually_nhds_iff eventually_nhds_iff theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x := mem_interior.trans mem_nhds_iff.symm #align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds theorem map_nhds {f : X → α} : map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) := ((nhds_basis_opens x).map f).eq_biInf #align map_nhds map_nhds theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H => let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs #align mem_of_mem_nhds mem_of_mem_nhds theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x := mem_of_mem_nhds h #align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x := mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩ #align is_open.mem_nhds IsOpen.mem_nhds protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s := ⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩ #align is_open.mem_nhds_iff IsOpen.mem_nhds_iff theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x := hs.isOpen_compl.mem_nhds (mem_compl hx) #align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) : ∀ᶠ x in 𝓝 x, x ∈ s := IsOpen.mem_nhds hs hx #align is_open.eventually_mem IsOpen.eventually_mem theorem nhds_basis_opens' (x : X) : (𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by convert nhds_basis_opens x using 2 exact and_congr_left_iff.2 IsOpen.mem_nhds_iff #align nhds_basis_opens' nhds_basis_opens' theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := ⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩ #align exists_open_set_nhds exists_open_set_nhds theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := exists_open_set_nhds (by simpa using h) #align exists_open_set_nhds' exists_open_set_nhds' theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : ∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x := let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩ #align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds @[simp] theorem eventually_eventually_nhds {p : X → Prop} : (∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x := ⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩ #align eventually_eventually_nhds eventually_eventually_nhds @[simp] theorem frequently_frequently_nhds {p : X → Prop} : (∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by rw [← not_iff_not] simp only [not_frequently, eventually_eventually_nhds] #align frequently_frequently_nhds frequently_frequently_nhds @[simp] theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x := eventually_eventually_nhds #align eventually_mem_nhds eventually_mem_nhds @[simp] theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x := Filter.ext fun _ => eventually_eventually_nhds #align nhds_bind_nhds nhds_bind_nhds @[simp] theorem eventually_eventuallyEq_nhds {f g : X → α} : (∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x := h.self_of_nhds #align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds @[simp] theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} : (∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_le_nhds eventually_eventuallyLE_nhds theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) : (∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s := ((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp] #align all_mem_nhds all_mem_nhds theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t) (l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l := all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt) #align all_mem_nhds_filter all_mem_nhds_filter theorem tendsto_nhds {f : α → X} {l : Filter α} : Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l := all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _ #align tendsto_nhds tendsto_nhds theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} : Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U := (atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le] #align tendsto_at_top_nhds tendsto_atTop_nhds theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) := tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha #align tendsto_const_nhds tendsto_const_nhds theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs #align pure_le_nhds pure_le_nhds theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) := (tendsto_pure_pure f a).mono_right (pure_le_nhds _) #align tendsto_pure_nhds tendsto_pure_nhds theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) : Tendsto f atTop (𝓝 (f ⊤)) := (tendsto_atTop_pure f).mono_right (pure_le_nhds _) #align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds @[simp] instance nhds_neBot : NeBot (𝓝 x) := neBot_of_le (pure_le_nhds x) #align nhds_ne_bot nhds_neBot theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) : Tendsto f l (𝓝 x) := tendsto_const_nhds.congr' (.symm h) theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) : Tendsto f l (𝓝 x) := tendsto_nhds_of_eventually_eq hf theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) := h #align cluster_pt.ne_bot ClusterPt.neBot theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop} {sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) : ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty := hX.inf_basis_neBot_iff hF #align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff theorem clusterPt_iff {F : Filter X} : ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty := inf_neBot_iff #align cluster_pt_iff clusterPt_iff theorem clusterPt_iff_not_disjoint {F : Filter X} : ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by rw [disjoint_iff, ClusterPt, neBot_iff] theorem clusterPt_principal_iff : ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty := inf_principal_neBot_iff #align cluster_pt_principal_iff clusterPt_principal_iff theorem clusterPt_principal_iff_frequently : ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff] #align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by rwa [ClusterPt, inf_eq_right.mpr H] #align cluster_pt.of_le_nhds ClusterPt.of_le_nhds theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) : ClusterPt x f := ClusterPt.of_le_nhds H #align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds' theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot] #align cluster_pt.of_nhds_le ClusterPt.of_nhds_le theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g := NeBot.mono H <| inf_le_inf_left _ h #align cluster_pt.mono ClusterPt.mono theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f := H.mono inf_le_left #align cluster_pt.of_inf_left ClusterPt.of_inf_left theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x g := H.mono inf_le_right #align cluster_pt.of_inf_right ClusterPt.of_inf_right theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x := ⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩ #align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔ ∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map] rfl #align map_cluster_pt_iff mapClusterPt_iff theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β} {u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β} {u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) : MapClusterPt x F u := by have := calc map (u ∘ φ) p = map u (map φ p) := map_map _ ≤ map u F := map_mono h have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this exact neBot_of_le this #align map_cluster_pt_of_comp mapClusterPt_of_comp theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by rw [AccPt, nhdsWithin, ClusterPt, inf_assoc] #align acc_iff_cluster acc_iff_cluster theorem acc_principal_iff_cluster (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq] #align acc_principal_iff_cluster acc_principal_iff_cluster theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc, @and_comm (¬_ = x)] #align acc_pt_iff_nhds accPt_iff_nhds theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm] #align acc_pt_iff_frequently accPt_iff_frequently theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G := NeBot.mono h (inf_le_inf_left _ hFG) #align acc_pt.mono AccPt.mono theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } := Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq] #align interior_eq_nhds' interior_eq_nhds' theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } := interior_eq_nhds'.trans <| by simp only [le_principal_iff] #align interior_eq_nhds interior_eq_nhds @[simp] theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x := ⟨fun h => mem_of_superset h interior_subset, fun h => IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩ #align interior_mem_nhds interior_mem_nhds theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } := interior_eq_nhds' #align interior_set_of_eq interior_setOf_eq theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by simp only [← interior_setOf_eq, isOpen_interior] #align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by simp_rw [subset_def, mem_interior_iff_mem_nhds] #align subset_interior_iff_nhds subset_interior_iff_nhds theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := calc IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm _ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf] #align is_open_iff_nhds isOpen_iff_nhds theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} : t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x := ⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩ alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x := isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff #align is_open_iff_mem_nhds isOpen_iff_mem_nhds theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s := isOpen_iff_mem_nhds #align is_open_iff_eventually isOpen_iff_eventually theorem isOpen_iff_ultrafilter : IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter] #align is_open_iff_ultrafilter isOpen_iff_ultrafilter theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by constructor · intro h apply le_antisymm _ (pure_le_nhds x) rw [le_pure_iff] exact h.mem_nhds (mem_singleton x) · intro h simp [isOpen_iff_nhds, h] #align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff, nhds_neBot.le_pure_iff] #align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds
Mathlib/Topology/Basic.lean
1,212
1,214
theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by
rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds, closure_eq_compl_interior_compl, mem_compl_iff, compl_def]
import Mathlib.Data.Fintype.List #align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49" assert_not_exists MonoidWithZero namespace List variable {α : Type*} [DecidableEq α] def nextOr : ∀ (_ : List α) (_ _ : α), α | [], _, default => default | [_], _, default => default -- Handles the not-found and the wraparound case | y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default #align list.next_or List.nextOr @[simp] theorem nextOr_nil (x d : α) : nextOr [] x d = d := rfl #align list.next_or_nil List.nextOr_nil @[simp] theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d := rfl #align list.next_or_singleton List.nextOr_singleton @[simp] theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y := if_pos rfl #align list.next_or_self_cons_cons List.nextOr_self_cons_cons theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) : nextOr (y :: xs) x d = nextOr xs x d := by cases' xs with z zs · rfl · exact if_neg h #align list.next_or_cons_of_ne List.nextOr_cons_of_ne theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs) (x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by induction' xs with y ys IH · cases x_mem cases' ys with z zs · simp at x_mem x_ne contradiction by_cases h : x = y · rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons] · rw [nextOr, nextOr, IH] · simpa [h] using x_mem · simpa using x_ne #align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by induction' xs with y ys IH · simp at h cases' ys with z zs · simp at h · by_cases hx : x = y · simp [hx] · rw [nextOr_cons_of_ne _ _ _ _ hx] at h simpa [hx] using IH h #align list.mem_of_next_or_ne List.mem_of_nextOr_ne
Mathlib/Data/List/Cycle.lean
87
91
theorem nextOr_concat {xs : List α} {x : α} (d : α) (h : x ∉ xs) : nextOr (xs ++ [x]) x d = d := by
induction' xs with z zs IH · simp · obtain ⟨hz, hzs⟩ := not_or.mp (mt mem_cons.2 h) rw [cons_append, nextOr_cons_of_ne _ _ _ _ hz, IH hzs]
import Mathlib.Analysis.Convex.Cone.Extension import Mathlib.Analysis.NormedSpace.RCLike import Mathlib.Analysis.NormedSpace.Extend import Mathlib.Analysis.RCLike.Lemmas #align_import analysis.normed_space.hahn_banach.extension from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" universe u v section DualVector variable (𝕜 : Type v) [RCLike 𝕜] variable {E : Type u} [NormedAddCommGroup E] [NormedSpace 𝕜 E] open ContinuousLinearEquiv Submodule open scoped Classical
Mathlib/Analysis/NormedSpace/HahnBanach/Extension.lean
151
163
theorem coord_norm' {x : E} (h : x ≠ 0) : ‖(‖x‖ : 𝕜) • coord 𝕜 x h‖ = 1 := by
#adaptation_note /-- `set_option maxSynthPendingDepth 2` required after https://github.com/leanprover/lean4/pull/4119 Alternatively, we can add: ``` let X : SeminormedAddCommGroup (↥(span 𝕜 {x}) →L[𝕜] 𝕜) := inferInstance have : BoundedSMul 𝕜 (↥(span 𝕜 {x}) →L[𝕜] 𝕜) := @NormedSpace.boundedSMul 𝕜 _ _ X _ ``` -/ set_option maxSynthPendingDepth 2 in rw [norm_smul (α := 𝕜) (x := coord 𝕜 x h), RCLike.norm_coe_norm, coord_norm, mul_inv_cancel (mt norm_eq_zero.mp h)]
import Mathlib.Topology.Algebra.UniformConvergence #align_import topology.algebra.module.strong_topology from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95" open scoped Topology UniformConvergence section General variable {𝕜₁ 𝕜₂ : Type*} [NormedField 𝕜₁] [NormedField 𝕜₂] (σ : 𝕜₁ →+* 𝕜₂) {E E' F F' : Type*} [AddCommGroup E] [Module 𝕜₁ E] [AddCommGroup E'] [Module ℝ E'] [AddCommGroup F] [Module 𝕜₂ F] [AddCommGroup F'] [Module ℝ F'] [TopologicalSpace E] [TopologicalSpace E'] (F) @[nolint unusedArguments] def UniformConvergenceCLM [TopologicalSpace F] [TopologicalAddGroup F] (_ : Set (Set E)) := E →SL[σ] F namespace UniformConvergenceCLM instance instFunLike [TopologicalSpace F] [TopologicalAddGroup F] (𝔖 : Set (Set E)) : FunLike (UniformConvergenceCLM σ F 𝔖) E F := ContinuousLinearMap.funLike instance instContinuousSemilinearMapClass [TopologicalSpace F] [TopologicalAddGroup F] (𝔖 : Set (Set E)) : ContinuousSemilinearMapClass (UniformConvergenceCLM σ F 𝔖) σ E F := ContinuousLinearMap.continuousSemilinearMapClass instance instTopologicalSpace [TopologicalSpace F] [TopologicalAddGroup F] (𝔖 : Set (Set E)) : TopologicalSpace (UniformConvergenceCLM σ F 𝔖) := (@UniformOnFun.topologicalSpace E F (TopologicalAddGroup.toUniformSpace F) 𝔖).induced (DFunLike.coe : (UniformConvergenceCLM σ F 𝔖) → (E →ᵤ[𝔖] F)) #align continuous_linear_map.strong_topology UniformConvergenceCLM.instTopologicalSpace theorem topologicalSpace_eq [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : instTopologicalSpace σ F 𝔖 = TopologicalSpace.induced DFunLike.coe (UniformOnFun.topologicalSpace E F 𝔖) := by rw [instTopologicalSpace] congr exact UniformAddGroup.toUniformSpace_eq instance instUniformSpace [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : UniformSpace (UniformConvergenceCLM σ F 𝔖) := UniformSpace.replaceTopology ((UniformOnFun.uniformSpace E F 𝔖).comap (DFunLike.coe : (UniformConvergenceCLM σ F 𝔖) → (E →ᵤ[𝔖] F))) (by rw [UniformConvergenceCLM.instTopologicalSpace, UniformAddGroup.toUniformSpace_eq]; rfl) #align continuous_linear_map.strong_uniformity UniformConvergenceCLM.instUniformSpace theorem uniformSpace_eq [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : instUniformSpace σ F 𝔖 = UniformSpace.comap DFunLike.coe (UniformOnFun.uniformSpace E F 𝔖) := by rw [instUniformSpace, UniformSpace.replaceTopology_eq] @[simp] theorem uniformity_toTopologicalSpace_eq [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : (UniformConvergenceCLM.instUniformSpace σ F 𝔖).toTopologicalSpace = UniformConvergenceCLM.instTopologicalSpace σ F 𝔖 := rfl #align continuous_linear_map.strong_uniformity_topology_eq UniformConvergenceCLM.uniformity_toTopologicalSpace_eq theorem uniformEmbedding_coeFn [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : UniformEmbedding (α := UniformConvergenceCLM σ F 𝔖) (β := E →ᵤ[𝔖] F) DFunLike.coe := ⟨⟨rfl⟩, DFunLike.coe_injective⟩ #align continuous_linear_map.strong_uniformity.uniform_embedding_coe_fn UniformConvergenceCLM.uniformEmbedding_coeFn theorem embedding_coeFn [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : Embedding (X := UniformConvergenceCLM σ F 𝔖) (Y := E →ᵤ[𝔖] F) (UniformOnFun.ofFun 𝔖 ∘ DFunLike.coe) := UniformEmbedding.embedding (uniformEmbedding_coeFn _ _ _) #align continuous_linear_map.strong_topology.embedding_coe_fn UniformConvergenceCLM.embedding_coeFn instance instAddCommGroup [TopologicalSpace F] [TopologicalAddGroup F] (𝔖 : Set (Set E)) : AddCommGroup (UniformConvergenceCLM σ F 𝔖) := ContinuousLinearMap.addCommGroup instance instUniformAddGroup [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) : UniformAddGroup (UniformConvergenceCLM σ F 𝔖) := by let φ : (UniformConvergenceCLM σ F 𝔖) →+ E →ᵤ[𝔖] F := ⟨⟨(DFunLike.coe : (UniformConvergenceCLM σ F 𝔖) → E →ᵤ[𝔖] F), rfl⟩, fun _ _ => rfl⟩ exact (uniformEmbedding_coeFn _ _ _).uniformAddGroup φ #align continuous_linear_map.strong_uniformity.uniform_add_group UniformConvergenceCLM.instUniformAddGroup instance instTopologicalAddGroup [TopologicalSpace F] [TopologicalAddGroup F] (𝔖 : Set (Set E)) : TopologicalAddGroup (UniformConvergenceCLM σ F 𝔖) := by letI : UniformSpace F := TopologicalAddGroup.toUniformSpace F haveI : UniformAddGroup F := comm_topologicalAddGroup_is_uniform infer_instance #align continuous_linear_map.strong_topology.topological_add_group UniformConvergenceCLM.instTopologicalAddGroup
Mathlib/Topology/Algebra/Module/StrongTopology.lean
152
157
theorem t2Space [TopologicalSpace F] [TopologicalAddGroup F] [T2Space F] (𝔖 : Set (Set E)) (h𝔖 : ⋃₀ 𝔖 = Set.univ) : T2Space (UniformConvergenceCLM σ F 𝔖) := by
letI : UniformSpace F := TopologicalAddGroup.toUniformSpace F haveI : UniformAddGroup F := comm_topologicalAddGroup_is_uniform haveI : T2Space (E →ᵤ[𝔖] F) := UniformOnFun.t2Space_of_covering h𝔖 exact (embedding_coeFn σ F 𝔖).t2Space
import Mathlib.MeasureTheory.PiSystem import Mathlib.Order.OmegaCompletePartialOrder import Mathlib.Topology.Constructions import Mathlib.MeasureTheory.MeasurableSpace.Basic open Set namespace MeasureTheory variable {ι : Type _} {α : ι → Type _} section cylinder def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) := (fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S @[simp] theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) : f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S := mem_preimage @[simp] theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by rw [cylinder, preimage_empty] @[simp]
Mathlib/MeasureTheory/Constructions/Cylinders.lean
165
166
theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by
rw [cylinder, preimage_univ]
import Mathlib.Order.Ideal import Mathlib.Order.PFilter #align_import order.prime_ideal from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da" open Order.PFilter namespace Order variable {P : Type*} namespace Ideal -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure PrimePair (P : Type*) [Preorder P] where I : Ideal P F : PFilter P isCompl_I_F : IsCompl (I : Set P) F #align order.ideal.prime_pair Order.Ideal.PrimePair @[mk_iff] class IsPrime [Preorder P] (I : Ideal P) extends IsProper I : Prop where compl_filter : IsPFilter (I : Set P)ᶜ #align order.ideal.is_prime Order.Ideal.IsPrime section SemilatticeInf variable [SemilatticeInf P] {x y : P} {I : Ideal P} theorem IsPrime.mem_or_mem (hI : IsPrime I) {x y : P} : x ⊓ y ∈ I → x ∈ I ∨ y ∈ I := by contrapose! let F := hI.compl_filter.toPFilter show x ∈ F ∧ y ∈ F → x ⊓ y ∈ F exact fun h => inf_mem h.1 h.2 #align order.ideal.is_prime.mem_or_mem Order.Ideal.IsPrime.mem_or_mem
Mathlib/Order/PrimeIdeal.lean
131
139
theorem IsPrime.of_mem_or_mem [IsProper I] (hI : ∀ {x y : P}, x ⊓ y ∈ I → x ∈ I ∨ y ∈ I) : IsPrime I := by
rw [isPrime_iff] use ‹_› refine .of_def ?_ ?_ ?_ · exact Set.nonempty_compl.2 (I.isProper_iff.1 ‹_›) · intro x hx y hy exact ⟨x ⊓ y, fun h => (hI h).elim hx hy, inf_le_left, inf_le_right⟩ · exact @mem_compl_of_ge _ _ _
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Identities import Mathlib.RingTheory.Nilpotent.Lemmas import Mathlib.RingTheory.Polynomial.Nilpotent import Mathlib.RingTheory.Polynomial.Tower open Set Function noncomputable section namespace Polynomial variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (P : R[X]) {x : S} def newtonMap (x : S) : S := x - (Ring.inverse <| aeval x (derivative P)) * aeval x P theorem newtonMap_apply : P.newtonMap x = x - (Ring.inverse <| aeval x (derivative P)) * (aeval x P) := rfl variable {P} theorem newtonMap_apply_of_isUnit (h : IsUnit <| aeval x (derivative P)) : P.newtonMap x = x - h.unit⁻¹ * aeval x P := by simp [newtonMap_apply, Ring.inverse, h] theorem newtonMap_apply_of_not_isUnit (h : ¬ (IsUnit <| aeval x (derivative P))) : P.newtonMap x = x := by simp [newtonMap_apply, Ring.inverse, h]
Mathlib/Dynamics/Newton.lean
61
69
theorem isNilpotent_iterate_newtonMap_sub_of_isNilpotent (h : IsNilpotent <| aeval x P) (n : ℕ) : IsNilpotent <| P.newtonMap^[n] x - x := by
induction n with | zero => simp | succ n ih => rw [iterate_succ', comp_apply, newtonMap_apply, sub_right_comm] refine (Commute.all _ _).isNilpotent_sub ih <| (Commute.all _ _).isNilpotent_mul_right ?_ simpa using Commute.isNilpotent_add (Commute.all _ _) (isNilpotent_aeval_sub_of_isNilpotent_sub P ih) h
import Mathlib.CategoryTheory.Generator import Mathlib.CategoryTheory.Preadditive.Yoneda.Basic #align_import category_theory.preadditive.generator from "leanprover-community/mathlib"@"09f981f72d43749f1fa072deade828d9c1e185bb" universe v u open CategoryTheory Opposite namespace CategoryTheory variable {C : Type u} [Category.{v} C] [Preadditive C] theorem Preadditive.isSeparating_iff (𝒢 : Set C) : IsSeparating 𝒢 ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : G ⟶ X), h ≫ f = 0) → f = 0 := ⟨fun h𝒢 X Y f hf => h𝒢 _ _ (by simpa only [Limits.comp_zero] using hf), fun h𝒢 X Y f g hfg => sub_eq_zero.1 <| h𝒢 _ (by simpa only [Preadditive.comp_sub, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_separating_iff CategoryTheory.Preadditive.isSeparating_iff theorem Preadditive.isCoseparating_iff (𝒢 : Set C) : IsCoseparating 𝒢 ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : Y ⟶ G), f ≫ h = 0) → f = 0 := ⟨fun h𝒢 X Y f hf => h𝒢 _ _ (by simpa only [Limits.zero_comp] using hf), fun h𝒢 X Y f g hfg => sub_eq_zero.1 <| h𝒢 _ (by simpa only [Preadditive.sub_comp, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_coseparating_iff CategoryTheory.Preadditive.isCoseparating_iff theorem Preadditive.isSeparator_iff (G : C) : IsSeparator G ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ h : G ⟶ X, h ≫ f = 0) → f = 0 := ⟨fun hG X Y f hf => hG.def _ _ (by simpa only [Limits.comp_zero] using hf), fun hG => (isSeparator_def _).2 fun X Y f g hfg => sub_eq_zero.1 <| hG _ (by simpa only [Preadditive.comp_sub, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_separator_iff CategoryTheory.Preadditive.isSeparator_iff theorem Preadditive.isCoseparator_iff (G : C) : IsCoseparator G ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ h : Y ⟶ G, f ≫ h = 0) → f = 0 := ⟨fun hG X Y f hf => hG.def _ _ (by simpa only [Limits.zero_comp] using hf), fun hG => (isCoseparator_def _).2 fun X Y f g hfg => sub_eq_zero.1 <| hG _ (by simpa only [Preadditive.sub_comp, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_coseparator_iff CategoryTheory.Preadditive.isCoseparator_iff theorem isSeparator_iff_faithful_preadditiveCoyoneda (G : C) : IsSeparator G ↔ (preadditiveCoyoneda.obj (op G)).Faithful := by rw [isSeparator_iff_faithful_coyoneda_obj, ← whiskering_preadditiveCoyoneda, Functor.comp_obj, whiskeringRight_obj_obj] exact ⟨fun h => Functor.Faithful.of_comp _ (forget AddCommGroupCat), fun h => Functor.Faithful.comp _ _⟩ #align category_theory.is_separator_iff_faithful_preadditive_coyoneda CategoryTheory.isSeparator_iff_faithful_preadditiveCoyoneda theorem isSeparator_iff_faithful_preadditiveCoyonedaObj (G : C) : IsSeparator G ↔ (preadditiveCoyonedaObj (op G)).Faithful := by rw [isSeparator_iff_faithful_preadditiveCoyoneda, preadditiveCoyoneda_obj] exact ⟨fun h => Functor.Faithful.of_comp _ (forget₂ _ AddCommGroupCat.{v}), fun h => Functor.Faithful.comp _ _⟩ #align category_theory.is_separator_iff_faithful_preadditive_coyoneda_obj CategoryTheory.isSeparator_iff_faithful_preadditiveCoyonedaObj
Mathlib/CategoryTheory/Preadditive/Generator.lean
69
74
theorem isCoseparator_iff_faithful_preadditiveYoneda (G : C) : IsCoseparator G ↔ (preadditiveYoneda.obj G).Faithful := by
rw [isCoseparator_iff_faithful_yoneda_obj, ← whiskering_preadditiveYoneda, Functor.comp_obj, whiskeringRight_obj_obj] exact ⟨fun h => Functor.Faithful.of_comp _ (forget AddCommGroupCat), fun h => Functor.Faithful.comp _ _⟩
import Mathlib.Analysis.Normed.Group.Seminorm import Mathlib.Order.LiminfLimsup import Mathlib.Topology.Instances.Rat import Mathlib.Topology.MetricSpace.Algebra import Mathlib.Topology.MetricSpace.IsometricSMul import Mathlib.Topology.Sequences #align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01" variable {𝓕 𝕜 α ι κ E F G : Type*} open Filter Function Metric Bornology open ENNReal Filter NNReal Uniformity Pointwise Topology @[notation_class] class Norm (E : Type*) where norm : E → ℝ #align has_norm Norm @[notation_class] class NNNorm (E : Type*) where nnnorm : E → ℝ≥0 #align has_nnnorm NNNorm export Norm (norm) export NNNorm (nnnorm) @[inherit_doc] notation "‖" e "‖" => norm e @[inherit_doc] notation "‖" e "‖₊" => nnnorm e class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_group SeminormedAddGroup @[to_additive] class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_group SeminormedGroup class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_group NormedAddGroup @[to_additive] class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_group NormedGroup class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_comm_group SeminormedAddCommGroup @[to_additive] class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_comm_group SeminormedCommGroup class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_comm_group NormedAddCommGroup @[to_additive] class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_comm_group NormedCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E := { ‹NormedGroup E› with } #align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup #align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] : SeminormedCommGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup #align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] : SeminormedGroup E := { ‹SeminormedCommGroup E› with } #align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup #align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup #align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddGroup` instance as a special case of a more general `SeminormedAddGroup` instance."] def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedGroup E where dist_eq := ‹SeminormedGroup E›.dist_eq toMetricSpace := { eq_of_dist_eq_zero := fun hxy => div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy } -- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term. -- however, notice that if you make `x` and `y` accessible, then the following does work: -- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa` -- was broken. #align normed_group.of_separation NormedGroup.ofSeparation #align normed_add_group.of_separation NormedAddGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a `SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case of a more general `SeminormedAddCommGroup` instance."] def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedCommGroup E := { ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with } #align normed_comm_group.of_separation NormedCommGroup.ofSeparation #align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant distance."] def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y #align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist #align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ #align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist' #align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist #align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist' #align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant distance."] def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist NormedGroup.ofMulDist #align normed_add_group.of_add_dist NormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist' NormedGroup.ofMulDist' #align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedCommGroup E := { NormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist #align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedCommGroup E := { NormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist' #align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where dist x y := f (x / y) norm := f dist_eq x y := rfl dist_self x := by simp only [div_self', map_one_eq_zero] dist_triangle := le_map_div_add_map_div f dist_comm := map_div_rev f edist_dist x y := by exact ENNReal.coe_nnreal_eq _ -- Porting note: how did `mathlib3` solve this automatically? #align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup #align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) : SeminormedCommGroup E := { f.toSeminormedGroup with mul_comm := mul_comm } #align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup #align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E := { f.toGroupSeminorm.toSeminormedGroup with eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h } #align group_norm.to_normed_group GroupNorm.toNormedGroup #align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E := { f.toNormedGroup with mul_comm := mul_comm } #align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup #align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where norm := Function.const _ 0 dist_eq _ _ := rfl @[simp] theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 := rfl #align punit.norm_eq_zero PUnit.norm_eq_zero section SeminormedGroup variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E} {a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ} @[to_additive] theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ := SeminormedGroup.dist_eq _ _ #align dist_eq_norm_div dist_eq_norm_div #align dist_eq_norm_sub dist_eq_norm_sub @[to_additive] theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div] #align dist_eq_norm_div' dist_eq_norm_div' #align dist_eq_norm_sub' dist_eq_norm_sub' alias dist_eq_norm := dist_eq_norm_sub #align dist_eq_norm dist_eq_norm alias dist_eq_norm' := dist_eq_norm_sub' #align dist_eq_norm' dist_eq_norm' @[to_additive] instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E := ⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩ #align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right #align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right @[to_additive (attr := simp)] theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one] #align dist_one_right dist_one_right #align dist_zero_right dist_zero_right @[to_additive] theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by rw [Metric.inseparable_iff, dist_one_right] @[to_additive (attr := simp)] theorem dist_one_left : dist (1 : E) = norm := funext fun a => by rw [dist_comm, dist_one_right] #align dist_one_left dist_one_left #align dist_zero_left dist_zero_left @[to_additive] theorem Isometry.norm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) : ‖f x‖ = ‖x‖ := by rw [← dist_one_right, ← h₁, hi.dist_eq, dist_one_right] #align isometry.norm_map_of_map_one Isometry.norm_map_of_map_one #align isometry.norm_map_of_map_zero Isometry.norm_map_of_map_zero @[to_additive (attr := simp) comap_norm_atTop] theorem comap_norm_atTop' : comap norm atTop = cobounded E := by simpa only [dist_one_right] using comap_dist_right_atTop (1 : E) @[to_additive Filter.HasBasis.cobounded_of_norm] lemma Filter.HasBasis.cobounded_of_norm' {ι : Sort*} {p : ι → Prop} {s : ι → Set ℝ} (h : HasBasis atTop p s) : HasBasis (cobounded E) p fun i ↦ norm ⁻¹' s i := comap_norm_atTop' (E := E) ▸ h.comap _ @[to_additive Filter.hasBasis_cobounded_norm] lemma Filter.hasBasis_cobounded_norm' : HasBasis (cobounded E) (fun _ ↦ True) ({x | · ≤ ‖x‖}) := atTop_basis.cobounded_of_norm' @[to_additive (attr := simp) tendsto_norm_atTop_iff_cobounded] theorem tendsto_norm_atTop_iff_cobounded' {f : α → E} {l : Filter α} : Tendsto (‖f ·‖) l atTop ↔ Tendsto f l (cobounded E) := by rw [← comap_norm_atTop', tendsto_comap_iff]; rfl @[to_additive tendsto_norm_cobounded_atTop] theorem tendsto_norm_cobounded_atTop' : Tendsto norm (cobounded E) atTop := tendsto_norm_atTop_iff_cobounded'.2 tendsto_id @[to_additive eventually_cobounded_le_norm] lemma eventually_cobounded_le_norm' (a : ℝ) : ∀ᶠ x in cobounded E, a ≤ ‖x‖ := tendsto_norm_cobounded_atTop'.eventually_ge_atTop a @[to_additive tendsto_norm_cocompact_atTop] theorem tendsto_norm_cocompact_atTop' [ProperSpace E] : Tendsto norm (cocompact E) atTop := cobounded_eq_cocompact (α := E) ▸ tendsto_norm_cobounded_atTop' #align tendsto_norm_cocompact_at_top' tendsto_norm_cocompact_atTop' #align tendsto_norm_cocompact_at_top tendsto_norm_cocompact_atTop @[to_additive] theorem norm_div_rev (a b : E) : ‖a / b‖ = ‖b / a‖ := by simpa only [dist_eq_norm_div] using dist_comm a b #align norm_div_rev norm_div_rev #align norm_sub_rev norm_sub_rev @[to_additive (attr := simp) norm_neg] theorem norm_inv' (a : E) : ‖a⁻¹‖ = ‖a‖ := by simpa using norm_div_rev 1 a #align norm_inv' norm_inv' #align norm_neg norm_neg open scoped symmDiff in @[to_additive] theorem dist_mulIndicator (s t : Set α) (f : α → E) (x : α) : dist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖ := by rw [dist_eq_norm_div, Set.apply_mulIndicator_symmDiff norm_inv'] @[to_additive (attr := simp)] theorem dist_mul_self_right (a b : E) : dist b (a * b) = ‖a‖ := by rw [← dist_one_left, ← dist_mul_right 1 a b, one_mul] #align dist_mul_self_right dist_mul_self_right #align dist_add_self_right dist_add_self_right @[to_additive (attr := simp)] theorem dist_mul_self_left (a b : E) : dist (a * b) b = ‖a‖ := by rw [dist_comm, dist_mul_self_right] #align dist_mul_self_left dist_mul_self_left #align dist_add_self_left dist_add_self_left @[to_additive (attr := simp)] theorem dist_div_eq_dist_mul_left (a b c : E) : dist (a / b) c = dist a (c * b) := by rw [← dist_mul_right _ _ b, div_mul_cancel] #align dist_div_eq_dist_mul_left dist_div_eq_dist_mul_left #align dist_sub_eq_dist_add_left dist_sub_eq_dist_add_left @[to_additive (attr := simp)] theorem dist_div_eq_dist_mul_right (a b c : E) : dist a (b / c) = dist (a * c) b := by rw [← dist_mul_right _ _ c, div_mul_cancel] #align dist_div_eq_dist_mul_right dist_div_eq_dist_mul_right #align dist_sub_eq_dist_add_right dist_sub_eq_dist_add_right @[to_additive (attr := simp)] lemma Filter.inv_cobounded : (cobounded E)⁻¹ = cobounded E := by simp only [← comap_norm_atTop', ← Filter.comap_inv, comap_comap, (· ∘ ·), norm_inv'] @[to_additive "In a (semi)normed group, negation `x ↦ -x` tends to infinity at infinity."] theorem Filter.tendsto_inv_cobounded : Tendsto Inv.inv (cobounded E) (cobounded E) := inv_cobounded.le #align filter.tendsto_inv_cobounded Filter.tendsto_inv_cobounded #align filter.tendsto_neg_cobounded Filter.tendsto_neg_cobounded @[to_additive norm_add_le "**Triangle inequality** for the norm."] theorem norm_mul_le' (a b : E) : ‖a * b‖ ≤ ‖a‖ + ‖b‖ := by simpa [dist_eq_norm_div] using dist_triangle a 1 b⁻¹ #align norm_mul_le' norm_mul_le' #align norm_add_le norm_add_le @[to_additive] theorem norm_mul_le_of_le (h₁ : ‖a₁‖ ≤ r₁) (h₂ : ‖a₂‖ ≤ r₂) : ‖a₁ * a₂‖ ≤ r₁ + r₂ := (norm_mul_le' a₁ a₂).trans <| add_le_add h₁ h₂ #align norm_mul_le_of_le norm_mul_le_of_le #align norm_add_le_of_le norm_add_le_of_le @[to_additive norm_add₃_le] theorem norm_mul₃_le (a b c : E) : ‖a * b * c‖ ≤ ‖a‖ + ‖b‖ + ‖c‖ := norm_mul_le_of_le (norm_mul_le' _ _) le_rfl #align norm_mul₃_le norm_mul₃_le #align norm_add₃_le norm_add₃_le @[to_additive] lemma norm_div_le_norm_div_add_norm_div (a b c : E) : ‖a / c‖ ≤ ‖a / b‖ + ‖b / c‖ := by simpa only [dist_eq_norm_div] using dist_triangle a b c @[to_additive (attr := simp) norm_nonneg] theorem norm_nonneg' (a : E) : 0 ≤ ‖a‖ := by rw [← dist_one_right] exact dist_nonneg #align norm_nonneg' norm_nonneg' #align norm_nonneg norm_nonneg @[to_additive (attr := simp) abs_norm] theorem abs_norm' (z : E) : |‖z‖| = ‖z‖ := abs_of_nonneg <| norm_nonneg' _ #align abs_norm abs_norm @[to_additive (attr := simp) norm_zero] theorem norm_one' : ‖(1 : E)‖ = 0 := by rw [← dist_one_right, dist_self] #align norm_one' norm_one' #align norm_zero norm_zero @[to_additive] theorem ne_one_of_norm_ne_zero : ‖a‖ ≠ 0 → a ≠ 1 := mt <| by rintro rfl exact norm_one' #align ne_one_of_norm_ne_zero ne_one_of_norm_ne_zero #align ne_zero_of_norm_ne_zero ne_zero_of_norm_ne_zero @[to_additive (attr := nontriviality) norm_of_subsingleton] theorem norm_of_subsingleton' [Subsingleton E] (a : E) : ‖a‖ = 0 := by rw [Subsingleton.elim a 1, norm_one'] #align norm_of_subsingleton' norm_of_subsingleton' #align norm_of_subsingleton norm_of_subsingleton @[to_additive zero_lt_one_add_norm_sq] theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by positivity #align zero_lt_one_add_norm_sq' zero_lt_one_add_norm_sq' #align zero_lt_one_add_norm_sq zero_lt_one_add_norm_sq @[to_additive] theorem norm_div_le (a b : E) : ‖a / b‖ ≤ ‖a‖ + ‖b‖ := by simpa [dist_eq_norm_div] using dist_triangle a 1 b #align norm_div_le norm_div_le #align norm_sub_le norm_sub_le @[to_additive] theorem norm_div_le_of_le {r₁ r₂ : ℝ} (H₁ : ‖a₁‖ ≤ r₁) (H₂ : ‖a₂‖ ≤ r₂) : ‖a₁ / a₂‖ ≤ r₁ + r₂ := (norm_div_le a₁ a₂).trans <| add_le_add H₁ H₂ #align norm_div_le_of_le norm_div_le_of_le #align norm_sub_le_of_le norm_sub_le_of_le @[to_additive dist_le_norm_add_norm] theorem dist_le_norm_add_norm' (a b : E) : dist a b ≤ ‖a‖ + ‖b‖ := by rw [dist_eq_norm_div] apply norm_div_le #align dist_le_norm_add_norm' dist_le_norm_add_norm' #align dist_le_norm_add_norm dist_le_norm_add_norm @[to_additive abs_norm_sub_norm_le] theorem abs_norm_sub_norm_le' (a b : E) : |‖a‖ - ‖b‖| ≤ ‖a / b‖ := by simpa [dist_eq_norm_div] using abs_dist_sub_le a b 1 #align abs_norm_sub_norm_le' abs_norm_sub_norm_le' #align abs_norm_sub_norm_le abs_norm_sub_norm_le @[to_additive norm_sub_norm_le] theorem norm_sub_norm_le' (a b : E) : ‖a‖ - ‖b‖ ≤ ‖a / b‖ := (le_abs_self _).trans (abs_norm_sub_norm_le' a b) #align norm_sub_norm_le' norm_sub_norm_le' #align norm_sub_norm_le norm_sub_norm_le @[to_additive dist_norm_norm_le] theorem dist_norm_norm_le' (a b : E) : dist ‖a‖ ‖b‖ ≤ ‖a / b‖ := abs_norm_sub_norm_le' a b #align dist_norm_norm_le' dist_norm_norm_le' #align dist_norm_norm_le dist_norm_norm_le @[to_additive] theorem norm_le_norm_add_norm_div' (u v : E) : ‖u‖ ≤ ‖v‖ + ‖u / v‖ := by rw [add_comm] refine (norm_mul_le' _ _).trans_eq' ?_ rw [div_mul_cancel] #align norm_le_norm_add_norm_div' norm_le_norm_add_norm_div' #align norm_le_norm_add_norm_sub' norm_le_norm_add_norm_sub' @[to_additive] theorem norm_le_norm_add_norm_div (u v : E) : ‖v‖ ≤ ‖u‖ + ‖u / v‖ := by rw [norm_div_rev] exact norm_le_norm_add_norm_div' v u #align norm_le_norm_add_norm_div norm_le_norm_add_norm_div #align norm_le_norm_add_norm_sub norm_le_norm_add_norm_sub alias norm_le_insert' := norm_le_norm_add_norm_sub' #align norm_le_insert' norm_le_insert' alias norm_le_insert := norm_le_norm_add_norm_sub #align norm_le_insert norm_le_insert @[to_additive] theorem norm_le_mul_norm_add (u v : E) : ‖u‖ ≤ ‖u * v‖ + ‖v‖ := calc ‖u‖ = ‖u * v / v‖ := by rw [mul_div_cancel_right] _ ≤ ‖u * v‖ + ‖v‖ := norm_div_le _ _ #align norm_le_mul_norm_add norm_le_mul_norm_add #align norm_le_add_norm_add norm_le_add_norm_add @[to_additive ball_eq] theorem ball_eq' (y : E) (ε : ℝ) : ball y ε = { x | ‖x / y‖ < ε } := Set.ext fun a => by simp [dist_eq_norm_div] #align ball_eq' ball_eq' #align ball_eq ball_eq @[to_additive] theorem ball_one_eq (r : ℝ) : ball (1 : E) r = { x | ‖x‖ < r } := Set.ext fun a => by simp #align ball_one_eq ball_one_eq #align ball_zero_eq ball_zero_eq @[to_additive mem_ball_iff_norm] theorem mem_ball_iff_norm'' : b ∈ ball a r ↔ ‖b / a‖ < r := by rw [mem_ball, dist_eq_norm_div] #align mem_ball_iff_norm'' mem_ball_iff_norm'' #align mem_ball_iff_norm mem_ball_iff_norm @[to_additive mem_ball_iff_norm'] theorem mem_ball_iff_norm''' : b ∈ ball a r ↔ ‖a / b‖ < r := by rw [mem_ball', dist_eq_norm_div] #align mem_ball_iff_norm''' mem_ball_iff_norm''' #align mem_ball_iff_norm' mem_ball_iff_norm' @[to_additive] -- Porting note (#10618): `simp` can prove it theorem mem_ball_one_iff : a ∈ ball (1 : E) r ↔ ‖a‖ < r := by rw [mem_ball, dist_one_right] #align mem_ball_one_iff mem_ball_one_iff #align mem_ball_zero_iff mem_ball_zero_iff @[to_additive mem_closedBall_iff_norm] theorem mem_closedBall_iff_norm'' : b ∈ closedBall a r ↔ ‖b / a‖ ≤ r := by rw [mem_closedBall, dist_eq_norm_div] #align mem_closed_ball_iff_norm'' mem_closedBall_iff_norm'' #align mem_closed_ball_iff_norm mem_closedBall_iff_norm @[to_additive] -- Porting note (#10618): `simp` can prove it theorem mem_closedBall_one_iff : a ∈ closedBall (1 : E) r ↔ ‖a‖ ≤ r := by rw [mem_closedBall, dist_one_right] #align mem_closed_ball_one_iff mem_closedBall_one_iff #align mem_closed_ball_zero_iff mem_closedBall_zero_iff @[to_additive mem_closedBall_iff_norm'] theorem mem_closedBall_iff_norm''' : b ∈ closedBall a r ↔ ‖a / b‖ ≤ r := by rw [mem_closedBall', dist_eq_norm_div] #align mem_closed_ball_iff_norm''' mem_closedBall_iff_norm''' #align mem_closed_ball_iff_norm' mem_closedBall_iff_norm' @[to_additive norm_le_of_mem_closedBall] theorem norm_le_of_mem_closedBall' (h : b ∈ closedBall a r) : ‖b‖ ≤ ‖a‖ + r := (norm_le_norm_add_norm_div' _ _).trans <| add_le_add_left (by rwa [← dist_eq_norm_div]) _ #align norm_le_of_mem_closed_ball' norm_le_of_mem_closedBall' #align norm_le_of_mem_closed_ball norm_le_of_mem_closedBall @[to_additive norm_le_norm_add_const_of_dist_le] theorem norm_le_norm_add_const_of_dist_le' : dist a b ≤ r → ‖a‖ ≤ ‖b‖ + r := norm_le_of_mem_closedBall' #align norm_le_norm_add_const_of_dist_le' norm_le_norm_add_const_of_dist_le' #align norm_le_norm_add_const_of_dist_le norm_le_norm_add_const_of_dist_le @[to_additive norm_lt_of_mem_ball] theorem norm_lt_of_mem_ball' (h : b ∈ ball a r) : ‖b‖ < ‖a‖ + r := (norm_le_norm_add_norm_div' _ _).trans_lt <| add_lt_add_left (by rwa [← dist_eq_norm_div]) _ #align norm_lt_of_mem_ball' norm_lt_of_mem_ball' #align norm_lt_of_mem_ball norm_lt_of_mem_ball @[to_additive] theorem norm_div_sub_norm_div_le_norm_div (u v w : E) : ‖u / w‖ - ‖v / w‖ ≤ ‖u / v‖ := by simpa only [div_div_div_cancel_right'] using norm_sub_norm_le' (u / w) (v / w) #align norm_div_sub_norm_div_le_norm_div norm_div_sub_norm_div_le_norm_div #align norm_sub_sub_norm_sub_le_norm_sub norm_sub_sub_norm_sub_le_norm_sub @[to_additive isBounded_iff_forall_norm_le] theorem isBounded_iff_forall_norm_le' : Bornology.IsBounded s ↔ ∃ C, ∀ x ∈ s, ‖x‖ ≤ C := by simpa only [Set.subset_def, mem_closedBall_one_iff] using isBounded_iff_subset_closedBall (1 : E) #align bounded_iff_forall_norm_le' isBounded_iff_forall_norm_le' #align bounded_iff_forall_norm_le isBounded_iff_forall_norm_le alias ⟨Bornology.IsBounded.exists_norm_le', _⟩ := isBounded_iff_forall_norm_le' #align metric.bounded.exists_norm_le' Bornology.IsBounded.exists_norm_le' alias ⟨Bornology.IsBounded.exists_norm_le, _⟩ := isBounded_iff_forall_norm_le #align metric.bounded.exists_norm_le Bornology.IsBounded.exists_norm_le attribute [to_additive existing exists_norm_le] Bornology.IsBounded.exists_norm_le' @[to_additive exists_pos_norm_le] theorem Bornology.IsBounded.exists_pos_norm_le' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ ≤ R := let ⟨R₀, hR₀⟩ := hs.exists_norm_le' ⟨max R₀ 1, by positivity, fun x hx => (hR₀ x hx).trans <| le_max_left _ _⟩ #align metric.bounded.exists_pos_norm_le' Bornology.IsBounded.exists_pos_norm_le' #align metric.bounded.exists_pos_norm_le Bornology.IsBounded.exists_pos_norm_le @[to_additive Bornology.IsBounded.exists_pos_norm_lt] theorem Bornology.IsBounded.exists_pos_norm_lt' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ < R := let ⟨R, hR₀, hR⟩ := hs.exists_pos_norm_le' ⟨R + 1, by positivity, fun x hx ↦ (hR x hx).trans_lt (lt_add_one _)⟩ @[to_additive (attr := simp 1001) mem_sphere_iff_norm] -- Porting note: increase priority so the left-hand side doesn't reduce theorem mem_sphere_iff_norm' : b ∈ sphere a r ↔ ‖b / a‖ = r := by simp [dist_eq_norm_div] #align mem_sphere_iff_norm' mem_sphere_iff_norm' #align mem_sphere_iff_norm mem_sphere_iff_norm @[to_additive] -- `simp` can prove this theorem mem_sphere_one_iff_norm : a ∈ sphere (1 : E) r ↔ ‖a‖ = r := by simp [dist_eq_norm_div] #align mem_sphere_one_iff_norm mem_sphere_one_iff_norm #align mem_sphere_zero_iff_norm mem_sphere_zero_iff_norm @[to_additive (attr := simp) norm_eq_of_mem_sphere] theorem norm_eq_of_mem_sphere' (x : sphere (1 : E) r) : ‖(x : E)‖ = r := mem_sphere_one_iff_norm.mp x.2 #align norm_eq_of_mem_sphere' norm_eq_of_mem_sphere' #align norm_eq_of_mem_sphere norm_eq_of_mem_sphere @[to_additive] theorem ne_one_of_mem_sphere (hr : r ≠ 0) (x : sphere (1 : E) r) : (x : E) ≠ 1 := ne_one_of_norm_ne_zero <| by rwa [norm_eq_of_mem_sphere' x] #align ne_one_of_mem_sphere ne_one_of_mem_sphere #align ne_zero_of_mem_sphere ne_zero_of_mem_sphere @[to_additive ne_zero_of_mem_unit_sphere] theorem ne_one_of_mem_unit_sphere (x : sphere (1 : E) 1) : (x : E) ≠ 1 := ne_one_of_mem_sphere one_ne_zero _ #align ne_one_of_mem_unit_sphere ne_one_of_mem_unit_sphere #align ne_zero_of_mem_unit_sphere ne_zero_of_mem_unit_sphere variable (E) @[to_additive "The norm of a seminormed group as an additive group seminorm."] def normGroupSeminorm : GroupSeminorm E := ⟨norm, norm_one', norm_mul_le', norm_inv'⟩ #align norm_group_seminorm normGroupSeminorm #align norm_add_group_seminorm normAddGroupSeminorm @[to_additive (attr := simp)] theorem coe_normGroupSeminorm : ⇑(normGroupSeminorm E) = norm := rfl #align coe_norm_group_seminorm coe_normGroupSeminorm #align coe_norm_add_group_seminorm coe_normAddGroupSeminorm variable {E} @[to_additive] theorem NormedCommGroup.tendsto_nhds_one {f : α → E} {l : Filter α} : Tendsto f l (𝓝 1) ↔ ∀ ε > 0, ∀ᶠ x in l, ‖f x‖ < ε := Metric.tendsto_nhds.trans <| by simp only [dist_one_right] #align normed_comm_group.tendsto_nhds_one NormedCommGroup.tendsto_nhds_one #align normed_add_comm_group.tendsto_nhds_zero NormedAddCommGroup.tendsto_nhds_zero @[to_additive] theorem NormedCommGroup.tendsto_nhds_nhds {f : E → F} {x : E} {y : F} : Tendsto f (𝓝 x) (𝓝 y) ↔ ∀ ε > 0, ∃ δ > 0, ∀ x', ‖x' / x‖ < δ → ‖f x' / y‖ < ε := by simp_rw [Metric.tendsto_nhds_nhds, dist_eq_norm_div] #align normed_comm_group.tendsto_nhds_nhds NormedCommGroup.tendsto_nhds_nhds #align normed_add_comm_group.tendsto_nhds_nhds NormedAddCommGroup.tendsto_nhds_nhds @[to_additive] theorem NormedCommGroup.cauchySeq_iff [Nonempty α] [SemilatticeSup α] {u : α → E} : CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ m, N ≤ m → ∀ n, N ≤ n → ‖u m / u n‖ < ε := by simp [Metric.cauchySeq_iff, dist_eq_norm_div] #align normed_comm_group.cauchy_seq_iff NormedCommGroup.cauchySeq_iff #align normed_add_comm_group.cauchy_seq_iff NormedAddCommGroup.cauchySeq_iff @[to_additive] theorem NormedCommGroup.nhds_basis_norm_lt (x : E) : (𝓝 x).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { y | ‖y / x‖ < ε } := by simp_rw [← ball_eq'] exact Metric.nhds_basis_ball #align normed_comm_group.nhds_basis_norm_lt NormedCommGroup.nhds_basis_norm_lt #align normed_add_comm_group.nhds_basis_norm_lt NormedAddCommGroup.nhds_basis_norm_lt @[to_additive] theorem NormedCommGroup.nhds_one_basis_norm_lt : (𝓝 (1 : E)).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { y | ‖y‖ < ε } := by convert NormedCommGroup.nhds_basis_norm_lt (1 : E) simp #align normed_comm_group.nhds_one_basis_norm_lt NormedCommGroup.nhds_one_basis_norm_lt #align normed_add_comm_group.nhds_zero_basis_norm_lt NormedAddCommGroup.nhds_zero_basis_norm_lt @[to_additive] theorem NormedCommGroup.uniformity_basis_dist : (𝓤 E).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { p : E × E | ‖p.fst / p.snd‖ < ε } := by convert Metric.uniformity_basis_dist (α := E) using 1 simp [dist_eq_norm_div] #align normed_comm_group.uniformity_basis_dist NormedCommGroup.uniformity_basis_dist #align normed_add_comm_group.uniformity_basis_dist NormedAddCommGroup.uniformity_basis_dist open Finset variable [FunLike 𝓕 E F] @[to_additive "A homomorphism `f` of seminormed groups is Lipschitz, if there exists a constant `C` such that for all `x`, one has `‖f x‖ ≤ C * ‖x‖`. The analogous condition for a linear map of (semi)normed spaces is in `Mathlib/Analysis/NormedSpace/OperatorNorm.lean`."] theorem MonoidHomClass.lipschitz_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : LipschitzWith (Real.toNNReal C) f := LipschitzWith.of_dist_le' fun x y => by simpa only [dist_eq_norm_div, map_div] using h (x / y) #align monoid_hom_class.lipschitz_of_bound MonoidHomClass.lipschitz_of_bound #align add_monoid_hom_class.lipschitz_of_bound AddMonoidHomClass.lipschitz_of_bound @[to_additive] theorem lipschitzOnWith_iff_norm_div_le {f : E → F} {C : ℝ≥0} : LipschitzOnWith C f s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ‖f x / f y‖ ≤ C * ‖x / y‖ := by simp only [lipschitzOnWith_iff_dist_le_mul, dist_eq_norm_div] #align lipschitz_on_with_iff_norm_div_le lipschitzOnWith_iff_norm_div_le #align lipschitz_on_with_iff_norm_sub_le lipschitzOnWith_iff_norm_sub_le alias ⟨LipschitzOnWith.norm_div_le, _⟩ := lipschitzOnWith_iff_norm_div_le #align lipschitz_on_with.norm_div_le LipschitzOnWith.norm_div_le attribute [to_additive] LipschitzOnWith.norm_div_le @[to_additive] theorem LipschitzOnWith.norm_div_le_of_le {f : E → F} {C : ℝ≥0} (h : LipschitzOnWith C f s) (ha : a ∈ s) (hb : b ∈ s) (hr : ‖a / b‖ ≤ r) : ‖f a / f b‖ ≤ C * r := (h.norm_div_le ha hb).trans <| by gcongr #align lipschitz_on_with.norm_div_le_of_le LipschitzOnWith.norm_div_le_of_le #align lipschitz_on_with.norm_sub_le_of_le LipschitzOnWith.norm_sub_le_of_le @[to_additive] theorem lipschitzWith_iff_norm_div_le {f : E → F} {C : ℝ≥0} : LipschitzWith C f ↔ ∀ x y, ‖f x / f y‖ ≤ C * ‖x / y‖ := by simp only [lipschitzWith_iff_dist_le_mul, dist_eq_norm_div] #align lipschitz_with_iff_norm_div_le lipschitzWith_iff_norm_div_le #align lipschitz_with_iff_norm_sub_le lipschitzWith_iff_norm_sub_le alias ⟨LipschitzWith.norm_div_le, _⟩ := lipschitzWith_iff_norm_div_le #align lipschitz_with.norm_div_le LipschitzWith.norm_div_le attribute [to_additive] LipschitzWith.norm_div_le @[to_additive] theorem LipschitzWith.norm_div_le_of_le {f : E → F} {C : ℝ≥0} (h : LipschitzWith C f) (hr : ‖a / b‖ ≤ r) : ‖f a / f b‖ ≤ C * r := (h.norm_div_le _ _).trans <| by gcongr #align lipschitz_with.norm_div_le_of_le LipschitzWith.norm_div_le_of_le #align lipschitz_with.norm_sub_le_of_le LipschitzWith.norm_sub_le_of_le @[to_additive "A homomorphism `f` of seminormed groups is continuous, if there exists a constant `C` such that for all `x`, one has `‖f x‖ ≤ C * ‖x‖`"] theorem MonoidHomClass.continuous_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : Continuous f := (MonoidHomClass.lipschitz_of_bound f C h).continuous #align monoid_hom_class.continuous_of_bound MonoidHomClass.continuous_of_bound #align add_monoid_hom_class.continuous_of_bound AddMonoidHomClass.continuous_of_bound @[to_additive] theorem MonoidHomClass.uniformContinuous_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : UniformContinuous f := (MonoidHomClass.lipschitz_of_bound f C h).uniformContinuous #align monoid_hom_class.uniform_continuous_of_bound MonoidHomClass.uniformContinuous_of_bound #align add_monoid_hom_class.uniform_continuous_of_bound AddMonoidHomClass.uniformContinuous_of_bound @[to_additive IsCompact.exists_bound_of_continuousOn] theorem IsCompact.exists_bound_of_continuousOn' [TopologicalSpace α] {s : Set α} (hs : IsCompact s) {f : α → E} (hf : ContinuousOn f s) : ∃ C, ∀ x ∈ s, ‖f x‖ ≤ C := (isBounded_iff_forall_norm_le'.1 (hs.image_of_continuousOn hf).isBounded).imp fun _C hC _x hx => hC _ <| Set.mem_image_of_mem _ hx #align is_compact.exists_bound_of_continuous_on' IsCompact.exists_bound_of_continuousOn' #align is_compact.exists_bound_of_continuous_on IsCompact.exists_bound_of_continuousOn @[to_additive] theorem HasCompactMulSupport.exists_bound_of_continuous [TopologicalSpace α] {f : α → E} (hf : HasCompactMulSupport f) (h'f : Continuous f) : ∃ C, ∀ x, ‖f x‖ ≤ C := by simpa using (hf.isCompact_range h'f).isBounded.exists_norm_le' @[to_additive] theorem MonoidHomClass.isometry_iff_norm [MonoidHomClass 𝓕 E F] (f : 𝓕) : Isometry f ↔ ∀ x, ‖f x‖ = ‖x‖ := by simp only [isometry_iff_dist_eq, dist_eq_norm_div, ← map_div] refine ⟨fun h x => ?_, fun h x y => h _⟩ simpa using h x 1 #align monoid_hom_class.isometry_iff_norm MonoidHomClass.isometry_iff_norm #align add_monoid_hom_class.isometry_iff_norm AddMonoidHomClass.isometry_iff_norm alias ⟨_, MonoidHomClass.isometry_of_norm⟩ := MonoidHomClass.isometry_iff_norm #align monoid_hom_class.isometry_of_norm MonoidHomClass.isometry_of_norm attribute [to_additive] MonoidHomClass.isometry_of_norm section NNNorm -- See note [lower instance priority] @[to_additive] instance (priority := 100) SeminormedGroup.toNNNorm : NNNorm E := ⟨fun a => ⟨‖a‖, norm_nonneg' a⟩⟩ #align seminormed_group.to_has_nnnorm SeminormedGroup.toNNNorm #align seminormed_add_group.to_has_nnnorm SeminormedAddGroup.toNNNorm @[to_additive (attr := simp, norm_cast) coe_nnnorm] theorem coe_nnnorm' (a : E) : (‖a‖₊ : ℝ) = ‖a‖ := rfl #align coe_nnnorm' coe_nnnorm' #align coe_nnnorm coe_nnnorm @[to_additive (attr := simp) coe_comp_nnnorm] theorem coe_comp_nnnorm' : (toReal : ℝ≥0 → ℝ) ∘ (nnnorm : E → ℝ≥0) = norm := rfl #align coe_comp_nnnorm' coe_comp_nnnorm' #align coe_comp_nnnorm coe_comp_nnnorm @[to_additive norm_toNNReal] theorem norm_toNNReal' : ‖a‖.toNNReal = ‖a‖₊ := @Real.toNNReal_coe ‖a‖₊ #align norm_to_nnreal' norm_toNNReal' #align norm_to_nnreal norm_toNNReal @[to_additive] theorem nndist_eq_nnnorm_div (a b : E) : nndist a b = ‖a / b‖₊ := NNReal.eq <| dist_eq_norm_div _ _ #align nndist_eq_nnnorm_div nndist_eq_nnnorm_div #align nndist_eq_nnnorm_sub nndist_eq_nnnorm_sub alias nndist_eq_nnnorm := nndist_eq_nnnorm_sub #align nndist_eq_nnnorm nndist_eq_nnnorm @[to_additive (attr := simp) nnnorm_zero] theorem nnnorm_one' : ‖(1 : E)‖₊ = 0 := NNReal.eq norm_one' #align nnnorm_one' nnnorm_one' #align nnnorm_zero nnnorm_zero @[to_additive] theorem ne_one_of_nnnorm_ne_zero {a : E} : ‖a‖₊ ≠ 0 → a ≠ 1 := mt <| by rintro rfl exact nnnorm_one' #align ne_one_of_nnnorm_ne_zero ne_one_of_nnnorm_ne_zero #align ne_zero_of_nnnorm_ne_zero ne_zero_of_nnnorm_ne_zero @[to_additive nnnorm_add_le] theorem nnnorm_mul_le' (a b : E) : ‖a * b‖₊ ≤ ‖a‖₊ + ‖b‖₊ := NNReal.coe_le_coe.1 <| norm_mul_le' a b #align nnnorm_mul_le' nnnorm_mul_le' #align nnnorm_add_le nnnorm_add_le @[to_additive (attr := simp) nnnorm_neg] theorem nnnorm_inv' (a : E) : ‖a⁻¹‖₊ = ‖a‖₊ := NNReal.eq <| norm_inv' a #align nnnorm_inv' nnnorm_inv' #align nnnorm_neg nnnorm_neg open scoped symmDiff in @[to_additive] theorem nndist_mulIndicator (s t : Set α) (f : α → E) (x : α) : nndist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖₊ := NNReal.eq <| dist_mulIndicator s t f x @[to_additive] theorem nnnorm_div_le (a b : E) : ‖a / b‖₊ ≤ ‖a‖₊ + ‖b‖₊ := NNReal.coe_le_coe.1 <| norm_div_le _ _ #align nnnorm_div_le nnnorm_div_le #align nnnorm_sub_le nnnorm_sub_le @[to_additive nndist_nnnorm_nnnorm_le] theorem nndist_nnnorm_nnnorm_le' (a b : E) : nndist ‖a‖₊ ‖b‖₊ ≤ ‖a / b‖₊ := NNReal.coe_le_coe.1 <| dist_norm_norm_le' a b #align nndist_nnnorm_nnnorm_le' nndist_nnnorm_nnnorm_le' #align nndist_nnnorm_nnnorm_le nndist_nnnorm_nnnorm_le @[to_additive] theorem nnnorm_le_nnnorm_add_nnnorm_div (a b : E) : ‖b‖₊ ≤ ‖a‖₊ + ‖a / b‖₊ := norm_le_norm_add_norm_div _ _ #align nnnorm_le_nnnorm_add_nnnorm_div nnnorm_le_nnnorm_add_nnnorm_div #align nnnorm_le_nnnorm_add_nnnorm_sub nnnorm_le_nnnorm_add_nnnorm_sub @[to_additive] theorem nnnorm_le_nnnorm_add_nnnorm_div' (a b : E) : ‖a‖₊ ≤ ‖b‖₊ + ‖a / b‖₊ := norm_le_norm_add_norm_div' _ _ #align nnnorm_le_nnnorm_add_nnnorm_div' nnnorm_le_nnnorm_add_nnnorm_div' #align nnnorm_le_nnnorm_add_nnnorm_sub' nnnorm_le_nnnorm_add_nnnorm_sub' alias nnnorm_le_insert' := nnnorm_le_nnnorm_add_nnnorm_sub' #align nnnorm_le_insert' nnnorm_le_insert' alias nnnorm_le_insert := nnnorm_le_nnnorm_add_nnnorm_sub #align nnnorm_le_insert nnnorm_le_insert @[to_additive] theorem nnnorm_le_mul_nnnorm_add (a b : E) : ‖a‖₊ ≤ ‖a * b‖₊ + ‖b‖₊ := norm_le_mul_norm_add _ _ #align nnnorm_le_mul_nnnorm_add nnnorm_le_mul_nnnorm_add #align nnnorm_le_add_nnnorm_add nnnorm_le_add_nnnorm_add @[to_additive ofReal_norm_eq_coe_nnnorm] theorem ofReal_norm_eq_coe_nnnorm' (a : E) : ENNReal.ofReal ‖a‖ = ‖a‖₊ := ENNReal.ofReal_eq_coe_nnreal _ #align of_real_norm_eq_coe_nnnorm' ofReal_norm_eq_coe_nnnorm' #align of_real_norm_eq_coe_nnnorm ofReal_norm_eq_coe_nnnorm @[to_additive toReal_coe_nnnorm "The non negative norm seen as an `ENNReal` and then as a `Real` is equal to the norm."] theorem toReal_coe_nnnorm' (a : E) : (‖a‖₊ : ℝ≥0∞).toReal = ‖a‖ := rfl @[to_additive] theorem edist_eq_coe_nnnorm_div (a b : E) : edist a b = ‖a / b‖₊ := by rw [edist_dist, dist_eq_norm_div, ofReal_norm_eq_coe_nnnorm'] #align edist_eq_coe_nnnorm_div edist_eq_coe_nnnorm_div #align edist_eq_coe_nnnorm_sub edist_eq_coe_nnnorm_sub @[to_additive edist_eq_coe_nnnorm]
Mathlib/Analysis/Normed/Group/Basic.lean
1,086
1,087
theorem edist_eq_coe_nnnorm' (x : E) : edist x 1 = (‖x‖₊ : ℝ≥0∞) := by
rw [edist_eq_coe_nnnorm_div, div_one]
import Mathlib.Order.Interval.Set.Monotone import Mathlib.Topology.MetricSpace.Basic import Mathlib.Topology.MetricSpace.Bounded import Mathlib.Topology.Order.MonotoneConvergence #align_import analysis.box_integral.box.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Function Metric Filter noncomputable section open scoped Classical open NNReal Topology namespace BoxIntegral variable {ι : Type*} structure Box (ι : Type*) where (lower upper : ι → ℝ) lower_lt_upper : ∀ i, lower i < upper i #align box_integral.box BoxIntegral.Box attribute [simp] Box.lower_lt_upper namespace Box variable (I J : Box ι) {x y : ι → ℝ} instance : Inhabited (Box ι) := ⟨⟨0, 1, fun _ ↦ zero_lt_one⟩⟩ theorem lower_le_upper : I.lower ≤ I.upper := fun i ↦ (I.lower_lt_upper i).le #align box_integral.box.lower_le_upper BoxIntegral.Box.lower_le_upper theorem lower_ne_upper (i) : I.lower i ≠ I.upper i := (I.lower_lt_upper i).ne #align box_integral.box.lower_ne_upper BoxIntegral.Box.lower_ne_upper instance : Membership (ι → ℝ) (Box ι) := ⟨fun x I ↦ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i)⟩ -- Porting note: added @[coe] def toSet (I : Box ι) : Set (ι → ℝ) := { x | x ∈ I } instance : CoeTC (Box ι) (Set <| ι → ℝ) := ⟨toSet⟩ @[simp] theorem mem_mk {l u x : ι → ℝ} {H} : x ∈ mk l u H ↔ ∀ i, x i ∈ Ioc (l i) (u i) := Iff.rfl #align box_integral.box.mem_mk BoxIntegral.Box.mem_mk @[simp, norm_cast] theorem mem_coe : x ∈ (I : Set (ι → ℝ)) ↔ x ∈ I := Iff.rfl #align box_integral.box.mem_coe BoxIntegral.Box.mem_coe theorem mem_def : x ∈ I ↔ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i) := Iff.rfl #align box_integral.box.mem_def BoxIntegral.Box.mem_def theorem mem_univ_Ioc {I : Box ι} : (x ∈ pi univ fun i ↦ Ioc (I.lower i) (I.upper i)) ↔ x ∈ I := mem_univ_pi #align box_integral.box.mem_univ_Ioc BoxIntegral.Box.mem_univ_Ioc theorem coe_eq_pi : (I : Set (ι → ℝ)) = pi univ fun i ↦ Ioc (I.lower i) (I.upper i) := Set.ext fun _ ↦ mem_univ_Ioc.symm #align box_integral.box.coe_eq_pi BoxIntegral.Box.coe_eq_pi @[simp] theorem upper_mem : I.upper ∈ I := fun i ↦ right_mem_Ioc.2 <| I.lower_lt_upper i #align box_integral.box.upper_mem BoxIntegral.Box.upper_mem theorem exists_mem : ∃ x, x ∈ I := ⟨_, I.upper_mem⟩ #align box_integral.box.exists_mem BoxIntegral.Box.exists_mem theorem nonempty_coe : Set.Nonempty (I : Set (ι → ℝ)) := I.exists_mem #align box_integral.box.nonempty_coe BoxIntegral.Box.nonempty_coe @[simp] theorem coe_ne_empty : (I : Set (ι → ℝ)) ≠ ∅ := I.nonempty_coe.ne_empty #align box_integral.box.coe_ne_empty BoxIntegral.Box.coe_ne_empty @[simp] theorem empty_ne_coe : ∅ ≠ (I : Set (ι → ℝ)) := I.coe_ne_empty.symm #align box_integral.box.empty_ne_coe BoxIntegral.Box.empty_ne_coe instance : LE (Box ι) := ⟨fun I J ↦ ∀ ⦃x⦄, x ∈ I → x ∈ J⟩ theorem le_def : I ≤ J ↔ ∀ x ∈ I, x ∈ J := Iff.rfl #align box_integral.box.le_def BoxIntegral.Box.le_def theorem le_TFAE : List.TFAE [I ≤ J, (I : Set (ι → ℝ)) ⊆ J, Icc I.lower I.upper ⊆ Icc J.lower J.upper, J.lower ≤ I.lower ∧ I.upper ≤ J.upper] := by tfae_have 1 ↔ 2 · exact Iff.rfl tfae_have 2 → 3 · intro h simpa [coe_eq_pi, closure_pi_set, lower_ne_upper] using closure_mono h tfae_have 3 ↔ 4 · exact Icc_subset_Icc_iff I.lower_le_upper tfae_have 4 → 2 · exact fun h x hx i ↦ Ioc_subset_Ioc (h.1 i) (h.2 i) (hx i) tfae_finish #align box_integral.box.le_tfae BoxIntegral.Box.le_TFAE variable {I J} @[simp, norm_cast] theorem coe_subset_coe : (I : Set (ι → ℝ)) ⊆ J ↔ I ≤ J := Iff.rfl #align box_integral.box.coe_subset_coe BoxIntegral.Box.coe_subset_coe theorem le_iff_bounds : I ≤ J ↔ J.lower ≤ I.lower ∧ I.upper ≤ J.upper := (le_TFAE I J).out 0 3 #align box_integral.box.le_iff_bounds BoxIntegral.Box.le_iff_bounds theorem injective_coe : Injective ((↑) : Box ι → Set (ι → ℝ)) := by rintro ⟨l₁, u₁, h₁⟩ ⟨l₂, u₂, h₂⟩ h simp only [Subset.antisymm_iff, coe_subset_coe, le_iff_bounds] at h congr exacts [le_antisymm h.2.1 h.1.1, le_antisymm h.1.2 h.2.2] #align box_integral.box.injective_coe BoxIntegral.Box.injective_coe @[simp, norm_cast] theorem coe_inj : (I : Set (ι → ℝ)) = J ↔ I = J := injective_coe.eq_iff #align box_integral.box.coe_inj BoxIntegral.Box.coe_inj @[ext] theorem ext (H : ∀ x, x ∈ I ↔ x ∈ J) : I = J := injective_coe <| Set.ext H #align box_integral.box.ext BoxIntegral.Box.ext theorem ne_of_disjoint_coe (h : Disjoint (I : Set (ι → ℝ)) J) : I ≠ J := mt coe_inj.2 <| h.ne I.coe_ne_empty #align box_integral.box.ne_of_disjoint_coe BoxIntegral.Box.ne_of_disjoint_coe instance : PartialOrder (Box ι) := { PartialOrder.lift ((↑) : Box ι → Set (ι → ℝ)) injective_coe with le := (· ≤ ·) } protected def Icc : Box ι ↪o Set (ι → ℝ) := OrderEmbedding.ofMapLEIff (fun I : Box ι ↦ Icc I.lower I.upper) fun I J ↦ (le_TFAE I J).out 2 0 #align box_integral.box.Icc BoxIntegral.Box.Icc theorem Icc_def : Box.Icc I = Icc I.lower I.upper := rfl #align box_integral.box.Icc_def BoxIntegral.Box.Icc_def @[simp] theorem upper_mem_Icc (I : Box ι) : I.upper ∈ Box.Icc I := right_mem_Icc.2 I.lower_le_upper #align box_integral.box.upper_mem_Icc BoxIntegral.Box.upper_mem_Icc @[simp] theorem lower_mem_Icc (I : Box ι) : I.lower ∈ Box.Icc I := left_mem_Icc.2 I.lower_le_upper #align box_integral.box.lower_mem_Icc BoxIntegral.Box.lower_mem_Icc protected theorem isCompact_Icc (I : Box ι) : IsCompact (Box.Icc I) := isCompact_Icc #align box_integral.box.is_compact_Icc BoxIntegral.Box.isCompact_Icc theorem Icc_eq_pi : Box.Icc I = pi univ fun i ↦ Icc (I.lower i) (I.upper i) := (pi_univ_Icc _ _).symm #align box_integral.box.Icc_eq_pi BoxIntegral.Box.Icc_eq_pi theorem le_iff_Icc : I ≤ J ↔ Box.Icc I ⊆ Box.Icc J := (le_TFAE I J).out 0 2 #align box_integral.box.le_iff_Icc BoxIntegral.Box.le_iff_Icc theorem antitone_lower : Antitone fun I : Box ι ↦ I.lower := fun _ _ H ↦ (le_iff_bounds.1 H).1 #align box_integral.box.antitone_lower BoxIntegral.Box.antitone_lower theorem monotone_upper : Monotone fun I : Box ι ↦ I.upper := fun _ _ H ↦ (le_iff_bounds.1 H).2 #align box_integral.box.monotone_upper BoxIntegral.Box.monotone_upper theorem coe_subset_Icc : ↑I ⊆ Box.Icc I := fun _ hx ↦ ⟨fun i ↦ (hx i).1.le, fun i ↦ (hx i).2⟩ #align box_integral.box.coe_subset_Icc BoxIntegral.Box.coe_subset_Icc instance : Sup (Box ι) := ⟨fun I J ↦ ⟨I.lower ⊓ J.lower, I.upper ⊔ J.upper, fun i ↦ (min_le_left _ _).trans_lt <| (I.lower_lt_upper i).trans_le (le_max_left _ _)⟩⟩ instance : SemilatticeSup (Box ι) := { (inferInstance : PartialOrder (Box ι)), (inferInstance : Sup (Box ι)) with le_sup_left := fun _ _ ↦ le_iff_bounds.2 ⟨inf_le_left, le_sup_left⟩ le_sup_right := fun _ _ ↦ le_iff_bounds.2 ⟨inf_le_right, le_sup_right⟩ sup_le := fun _ _ _ h₁ h₂ ↦ le_iff_bounds.2 ⟨le_inf (antitone_lower h₁) (antitone_lower h₂), sup_le (monotone_upper h₁) (monotone_upper h₂)⟩ } -- Porting note: added @[coe] def withBotToSet (o : WithBot (Box ι)) : Set (ι → ℝ) := o.elim ∅ (↑) instance withBotCoe : CoeTC (WithBot (Box ι)) (Set (ι → ℝ)) := ⟨withBotToSet⟩ #align box_integral.box.with_bot_coe BoxIntegral.Box.withBotCoe @[simp, norm_cast] theorem coe_bot : ((⊥ : WithBot (Box ι)) : Set (ι → ℝ)) = ∅ := rfl #align box_integral.box.coe_bot BoxIntegral.Box.coe_bot @[simp, norm_cast] theorem coe_coe : ((I : WithBot (Box ι)) : Set (ι → ℝ)) = I := rfl #align box_integral.box.coe_coe BoxIntegral.Box.coe_coe theorem isSome_iff : ∀ {I : WithBot (Box ι)}, I.isSome ↔ (I : Set (ι → ℝ)).Nonempty | ⊥ => by erw [Option.isSome] simp | (I : Box ι) => by erw [Option.isSome] simp [I.nonempty_coe] #align box_integral.box.is_some_iff BoxIntegral.Box.isSome_iff theorem biUnion_coe_eq_coe (I : WithBot (Box ι)) : ⋃ (J : Box ι) (_ : ↑J = I), (J : Set (ι → ℝ)) = I := by induction I <;> simp [WithBot.coe_eq_coe] #align box_integral.box.bUnion_coe_eq_coe BoxIntegral.Box.biUnion_coe_eq_coe @[simp, norm_cast] theorem withBotCoe_subset_iff {I J : WithBot (Box ι)} : (I : Set (ι → ℝ)) ⊆ J ↔ I ≤ J := by induction I; · simp induction J; · simp [subset_empty_iff] simp [le_def] #align box_integral.box.with_bot_coe_subset_iff BoxIntegral.Box.withBotCoe_subset_iff @[simp, norm_cast] theorem withBotCoe_inj {I J : WithBot (Box ι)} : (I : Set (ι → ℝ)) = J ↔ I = J := by simp only [Subset.antisymm_iff, ← le_antisymm_iff, withBotCoe_subset_iff] #align box_integral.box.with_bot_coe_inj BoxIntegral.Box.withBotCoe_inj def mk' (l u : ι → ℝ) : WithBot (Box ι) := if h : ∀ i, l i < u i then ↑(⟨l, u, h⟩ : Box ι) else ⊥ #align box_integral.box.mk' BoxIntegral.Box.mk' @[simp] theorem mk'_eq_bot {l u : ι → ℝ} : mk' l u = ⊥ ↔ ∃ i, u i ≤ l i := by rw [mk'] split_ifs with h <;> simpa using h #align box_integral.box.mk'_eq_bot BoxIntegral.Box.mk'_eq_bot @[simp] theorem mk'_eq_coe {l u : ι → ℝ} : mk' l u = I ↔ l = I.lower ∧ u = I.upper := by cases' I with lI uI hI; rw [mk']; split_ifs with h · simp [WithBot.coe_eq_coe] · suffices l = lI → u ≠ uI by simpa rintro rfl rfl exact h hI #align box_integral.box.mk'_eq_coe BoxIntegral.Box.mk'_eq_coe @[simp] theorem coe_mk' (l u : ι → ℝ) : (mk' l u : Set (ι → ℝ)) = pi univ fun i ↦ Ioc (l i) (u i) := by rw [mk']; split_ifs with h · exact coe_eq_pi _ · rcases not_forall.mp h with ⟨i, hi⟩ rw [coe_bot, univ_pi_eq_empty] exact Ioc_eq_empty hi #align box_integral.box.coe_mk' BoxIntegral.Box.coe_mk' instance WithBot.inf : Inf (WithBot (Box ι)) := ⟨fun I ↦ WithBot.recBotCoe (fun _ ↦ ⊥) (fun I J ↦ WithBot.recBotCoe ⊥ (fun J ↦ mk' (I.lower ⊔ J.lower) (I.upper ⊓ J.upper)) J) I⟩ @[simp] theorem coe_inf (I J : WithBot (Box ι)) : (↑(I ⊓ J) : Set (ι → ℝ)) = (I : Set _) ∩ J := by induction I · change ∅ = _ simp induction J · change ∅ = _ simp change ((mk' _ _ : WithBot (Box ι)) : Set (ι → ℝ)) = _ simp only [coe_eq_pi, ← pi_inter_distrib, Ioc_inter_Ioc, Pi.sup_apply, Pi.inf_apply, coe_mk', coe_coe] #align box_integral.box.coe_inf BoxIntegral.Box.coe_inf instance : Lattice (WithBot (Box ι)) := { WithBot.semilatticeSup, Box.WithBot.inf with inf_le_left := fun I J ↦ by rw [← withBotCoe_subset_iff, coe_inf] exact inter_subset_left inf_le_right := fun I J ↦ by rw [← withBotCoe_subset_iff, coe_inf] exact inter_subset_right le_inf := fun I J₁ J₂ h₁ h₂ ↦ by simp only [← withBotCoe_subset_iff, coe_inf] at * exact subset_inter h₁ h₂ } @[simp, norm_cast] theorem disjoint_withBotCoe {I J : WithBot (Box ι)} : Disjoint (I : Set (ι → ℝ)) J ↔ Disjoint I J := by simp only [disjoint_iff_inf_le, ← withBotCoe_subset_iff, coe_inf] rfl #align box_integral.box.disjoint_with_bot_coe BoxIntegral.Box.disjoint_withBotCoe theorem disjoint_coe : Disjoint (I : WithBot (Box ι)) J ↔ Disjoint (I : Set (ι → ℝ)) J := disjoint_withBotCoe.symm #align box_integral.box.disjoint_coe BoxIntegral.Box.disjoint_coe theorem not_disjoint_coe_iff_nonempty_inter : ¬Disjoint (I : WithBot (Box ι)) J ↔ (I ∩ J : Set (ι → ℝ)).Nonempty := by rw [disjoint_coe, Set.not_disjoint_iff_nonempty_inter] #align box_integral.box.not_disjoint_coe_iff_nonempty_inter BoxIntegral.Box.not_disjoint_coe_iff_nonempty_inter @[simps (config := { simpRhs := true })] def face {n} (I : Box (Fin (n + 1))) (i : Fin (n + 1)) : Box (Fin n) := ⟨I.lower ∘ Fin.succAbove i, I.upper ∘ Fin.succAbove i, fun _ ↦ I.lower_lt_upper _⟩ #align box_integral.box.face BoxIntegral.Box.face @[simp] theorem face_mk {n} (l u : Fin (n + 1) → ℝ) (h : ∀ i, l i < u i) (i : Fin (n + 1)) : face ⟨l, u, h⟩ i = ⟨l ∘ Fin.succAbove i, u ∘ Fin.succAbove i, fun _ ↦ h _⟩ := rfl #align box_integral.box.face_mk BoxIntegral.Box.face_mk @[mono] theorem face_mono {n} {I J : Box (Fin (n + 1))} (h : I ≤ J) (i : Fin (n + 1)) : face I i ≤ face J i := fun _ hx _ ↦ Ioc_subset_Ioc ((le_iff_bounds.1 h).1 _) ((le_iff_bounds.1 h).2 _) (hx _) #align box_integral.box.face_mono BoxIntegral.Box.face_mono theorem monotone_face {n} (i : Fin (n + 1)) : Monotone fun I ↦ face I i := fun _ _ h ↦ face_mono h i #align box_integral.box.monotone_face BoxIntegral.Box.monotone_face theorem mapsTo_insertNth_face_Icc {n} (I : Box (Fin (n + 1))) {i : Fin (n + 1)} {x : ℝ} (hx : x ∈ Icc (I.lower i) (I.upper i)) : MapsTo (i.insertNth x) (Box.Icc (I.face i)) (Box.Icc I) := fun _ hy ↦ Fin.insertNth_mem_Icc.2 ⟨hx, hy⟩ #align box_integral.box.maps_to_insert_nth_face_Icc BoxIntegral.Box.mapsTo_insertNth_face_Icc theorem mapsTo_insertNth_face {n} (I : Box (Fin (n + 1))) {i : Fin (n + 1)} {x : ℝ} (hx : x ∈ Ioc (I.lower i) (I.upper i)) : MapsTo (i.insertNth x) (I.face i : Set (_ → _)) (I : Set (_ → _)) := by intro y hy simp_rw [mem_coe, mem_def, i.forall_iff_succAbove, Fin.insertNth_apply_same, Fin.insertNth_apply_succAbove] exact ⟨hx, hy⟩ #align box_integral.box.maps_to_insert_nth_face BoxIntegral.Box.mapsTo_insertNth_face theorem continuousOn_face_Icc {X} [TopologicalSpace X] {n} {f : (Fin (n + 1) → ℝ) → X} {I : Box (Fin (n + 1))} (h : ContinuousOn f (Box.Icc I)) {i : Fin (n + 1)} {x : ℝ} (hx : x ∈ Icc (I.lower i) (I.upper i)) : ContinuousOn (f ∘ i.insertNth x) (Box.Icc (I.face i)) := h.comp (continuousOn_const.fin_insertNth i continuousOn_id) (I.mapsTo_insertNth_face_Icc hx) #align box_integral.box.continuous_on_face_Icc BoxIntegral.Box.continuousOn_face_Icc protected def Ioo : Box ι →o Set (ι → ℝ) where toFun I := pi univ fun i ↦ Ioo (I.lower i) (I.upper i) monotone' _ _ h := pi_mono fun i _ ↦ Ioo_subset_Ioo ((le_iff_bounds.1 h).1 i) ((le_iff_bounds.1 h).2 i) #align box_integral.box.Ioo BoxIntegral.Box.Ioo theorem Ioo_subset_coe (I : Box ι) : Box.Ioo I ⊆ I := fun _ hx i ↦ Ioo_subset_Ioc_self (hx i trivial) #align box_integral.box.Ioo_subset_coe BoxIntegral.Box.Ioo_subset_coe protected theorem Ioo_subset_Icc (I : Box ι) : Box.Ioo I ⊆ Box.Icc I := I.Ioo_subset_coe.trans coe_subset_Icc #align box_integral.box.Ioo_subset_Icc BoxIntegral.Box.Ioo_subset_Icc theorem iUnion_Ioo_of_tendsto [Finite ι] {I : Box ι} {J : ℕ → Box ι} (hJ : Monotone J) (hl : Tendsto (lower ∘ J) atTop (𝓝 I.lower)) (hu : Tendsto (upper ∘ J) atTop (𝓝 I.upper)) : ⋃ n, Box.Ioo (J n) = Box.Ioo I := have hl' : ∀ i, Antitone fun n ↦ (J n).lower i := fun i ↦ (monotone_eval i).comp_antitone (antitone_lower.comp_monotone hJ) have hu' : ∀ i, Monotone fun n ↦ (J n).upper i := fun i ↦ (monotone_eval i).comp (monotone_upper.comp hJ) calc ⋃ n, Box.Ioo (J n) = pi univ fun i ↦ ⋃ n, Ioo ((J n).lower i) ((J n).upper i) := iUnion_univ_pi_of_monotone fun i ↦ (hl' i).Ioo (hu' i) _ = Box.Ioo I := pi_congr rfl fun i _ ↦ iUnion_Ioo_of_mono_of_isGLB_of_isLUB (hl' i) (hu' i) (isGLB_of_tendsto_atTop (hl' i) (tendsto_pi_nhds.1 hl _)) (isLUB_of_tendsto_atTop (hu' i) (tendsto_pi_nhds.1 hu _)) #align box_integral.box.Union_Ioo_of_tendsto BoxIntegral.Box.iUnion_Ioo_of_tendsto theorem exists_seq_mono_tendsto (I : Box ι) : ∃ J : ℕ →o Box ι, (∀ n, Box.Icc (J n) ⊆ Box.Ioo I) ∧ Tendsto (lower ∘ J) atTop (𝓝 I.lower) ∧ Tendsto (upper ∘ J) atTop (𝓝 I.upper) := by choose a b ha_anti hb_mono ha_mem hb_mem hab ha_tendsto hb_tendsto using fun i ↦ exists_seq_strictAnti_strictMono_tendsto (I.lower_lt_upper i) exact ⟨⟨fun k ↦ ⟨flip a k, flip b k, fun i ↦ hab _ _ _⟩, fun k l hkl ↦ le_iff_bounds.2 ⟨fun i ↦ (ha_anti i).antitone hkl, fun i ↦ (hb_mono i).monotone hkl⟩⟩, fun n x hx i _ ↦ ⟨(ha_mem _ _).1.trans_le (hx.1 _), (hx.2 _).trans_lt (hb_mem _ _).2⟩, tendsto_pi_nhds.2 ha_tendsto, tendsto_pi_nhds.2 hb_tendsto⟩ #align box_integral.box.exists_seq_mono_tendsto BoxIntegral.Box.exists_seq_mono_tendsto section Distortion variable [Fintype ι] def distortion (I : Box ι) : ℝ≥0 := Finset.univ.sup fun i : ι ↦ nndist I.lower I.upper / nndist (I.lower i) (I.upper i) #align box_integral.box.distortion BoxIntegral.Box.distortion theorem distortion_eq_of_sub_eq_div {I J : Box ι} {r : ℝ} (h : ∀ i, I.upper i - I.lower i = (J.upper i - J.lower i) / r) : distortion I = distortion J := by simp only [distortion, nndist_pi_def, Real.nndist_eq', h, map_div₀] congr 1 with i have : 0 < r := by by_contra hr have := div_nonpos_of_nonneg_of_nonpos (sub_nonneg.2 <| J.lower_le_upper i) (not_lt.1 hr) rw [← h] at this exact this.not_lt (sub_pos.2 <| I.lower_lt_upper i) have hn0 := (map_ne_zero Real.nnabs).2 this.ne' simp_rw [NNReal.finset_sup_div, div_div_div_cancel_right _ hn0] #align box_integral.box.distortion_eq_of_sub_eq_div BoxIntegral.Box.distortion_eq_of_sub_eq_div theorem nndist_le_distortion_mul (I : Box ι) (i : ι) : nndist I.lower I.upper ≤ I.distortion * nndist (I.lower i) (I.upper i) := calc nndist I.lower I.upper = nndist I.lower I.upper / nndist (I.lower i) (I.upper i) * nndist (I.lower i) (I.upper i) := (div_mul_cancel₀ _ <| mt nndist_eq_zero.1 (I.lower_lt_upper i).ne).symm _ ≤ I.distortion * nndist (I.lower i) (I.upper i) := by apply mul_le_mul_right' apply Finset.le_sup (Finset.mem_univ i) #align box_integral.box.nndist_le_distortion_mul BoxIntegral.Box.nndist_le_distortion_mul theorem dist_le_distortion_mul (I : Box ι) (i : ι) : dist I.lower I.upper ≤ I.distortion * (I.upper i - I.lower i) := by have A : I.lower i - I.upper i < 0 := sub_neg.2 (I.lower_lt_upper i) simpa only [← NNReal.coe_le_coe, ← dist_nndist, NNReal.coe_mul, Real.dist_eq, abs_of_neg A, neg_sub] using I.nndist_le_distortion_mul i #align box_integral.box.dist_le_distortion_mul BoxIntegral.Box.dist_le_distortion_mul
Mathlib/Analysis/BoxIntegral/Box/Basic.lean
536
544
theorem diam_Icc_le_of_distortion_le (I : Box ι) (i : ι) {c : ℝ≥0} (h : I.distortion ≤ c) : diam (Box.Icc I) ≤ c * (I.upper i - I.lower i) := have : (0 : ℝ) ≤ c * (I.upper i - I.lower i) := mul_nonneg c.coe_nonneg (sub_nonneg.2 <| I.lower_le_upper _) diam_le_of_forall_dist_le this fun x hx y hy ↦ calc dist x y ≤ dist I.lower I.upper := Real.dist_le_of_mem_pi_Icc hx hy _ ≤ I.distortion * (I.upper i - I.lower i) := I.dist_le_distortion_mul i _ ≤ c * (I.upper i - I.lower i) := by
gcongr; exact sub_nonneg.2 (I.lower_le_upper i)
import Mathlib.Combinatorics.SimpleGraph.Subgraph import Mathlib.Data.List.Rotate #align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4" open Function universe u v w namespace SimpleGraph variable {V : Type u} {V' : Type v} {V'' : Type w} variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'') inductive Walk : V → V → Type u | nil {u : V} : Walk u u | cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w deriving DecidableEq #align simple_graph.walk SimpleGraph.Walk attribute [refl] Walk.nil @[simps] instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩ #align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited @[match_pattern, reducible] def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v := Walk.cons h Walk.nil #align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk namespace Walk variable {G} @[match_pattern] abbrev nil' (u : V) : G.Walk u u := Walk.nil #align simple_graph.walk.nil' SimpleGraph.Walk.nil' @[match_pattern] abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p #align simple_graph.walk.cons' SimpleGraph.Walk.cons' protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' := hu ▸ hv ▸ p #align simple_graph.walk.copy SimpleGraph.Walk.copy @[simp] theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl #align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl @[simp] theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v) (hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') : (p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by subst_vars rfl #align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy @[simp] theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by subst_vars rfl #align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') : (Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by subst_vars rfl #align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons @[simp] theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) : Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by subst_vars rfl #align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) : ∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p' | nil => (hne rfl).elim | cons h p' => ⟨_, h, p', rfl⟩ #align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne def length {u v : V} : G.Walk u v → ℕ | nil => 0 | cons _ q => q.length.succ #align simple_graph.walk.length SimpleGraph.Walk.length @[trans] def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w | nil, q => q | cons h p, q => cons h (p.append q) #align simple_graph.walk.append SimpleGraph.Walk.append def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil) #align simple_graph.walk.concat SimpleGraph.Walk.concat theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : p.concat h = p.append (cons h nil) := rfl #align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w | nil, q => q | cons h p, q => Walk.reverseAux p (cons (G.symm h) q) #align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux @[symm] def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil #align simple_graph.walk.reverse SimpleGraph.Walk.reverse def getVert {u v : V} : G.Walk u v → ℕ → V | nil, _ => u | cons _ _, 0 => u | cons _ q, n + 1 => q.getVert n #align simple_graph.walk.get_vert SimpleGraph.Walk.getVert @[simp] theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl #align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) : w.getVert i = v := by induction w generalizing i with | nil => rfl | cons _ _ ih => cases i · cases hi · exact ih (Nat.succ_le_succ_iff.1 hi) #align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le @[simp] theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v := w.getVert_of_length_le rfl.le #align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) : G.Adj (w.getVert i) (w.getVert (i + 1)) := by induction w generalizing i with | nil => cases hi | cons hxy _ ih => cases i · simp [getVert, hxy] · exact ih (Nat.succ_lt_succ_iff.1 hi) #align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ @[simp] theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) : (cons h p).append q = cons h (p.append q) := rfl #align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append @[simp] theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h nil).append p = cons h p := rfl #align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append @[simp] theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by induction p with | nil => rfl | cons _ _ ih => rw [cons_append, ih] #align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil @[simp] theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p := rfl #align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) : p.append (q.append r) = (p.append q).append r := by induction p with | nil => rfl | cons h p' ih => dsimp only [append] rw [ih] #align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc @[simp] theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w) (hu : u = u') (hv : v = v') (hw : w = w') : (p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by subst_vars rfl #align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl #align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil @[simp] theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) : (cons h p).concat h' = cons h (p.concat h') := rfl #align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) : p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _ #align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) : (p.concat h).append q = p.append (cons h q) := by rw [concat_eq_append, ← append_assoc, cons_nil_append] #align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : ∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by induction p generalizing u with | nil => exact ⟨_, nil, h, rfl⟩ | cons h' p ih => obtain ⟨y, q, h'', hc⟩ := ih h' refine ⟨y, cons h q, h'', ?_⟩ rw [concat_cons, hc] #align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat theorem exists_concat_eq_cons {u v w : V} : ∀ (p : G.Walk u v) (h : G.Adj v w), ∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q | nil, h => ⟨_, h, nil, rfl⟩ | cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩ #align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons @[simp] theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl #align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil := rfl #align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton @[simp] theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) : (cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl #align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux @[simp] protected theorem append_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) : (p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by induction p with | nil => rfl | cons h _ ih => exact ih q (cons (G.symm h) r) #align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux @[simp] protected theorem reverseAux_append {u v w x : V} (p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) : (p.reverseAux q).append r = p.reverseAux (q.append r) := by induction p with | nil => rfl | cons h _ ih => simp [ih (cons (G.symm h) q)] #align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) : p.reverseAux q = p.reverse.append q := by simp [reverse] #align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append @[simp] theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse] #align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons @[simp] theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).reverse = p.reverse.copy hv hu := by subst_vars rfl #align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy @[simp] theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : (p.append q).reverse = q.reverse.append p.reverse := by simp [reverse] #align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append @[simp] theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append] #align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat @[simp] theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by induction p with | nil => rfl | cons _ _ ih => simp [ih] #align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse @[simp] theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl #align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil @[simp] theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).length = p.length + 1 := rfl #align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons @[simp] theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).length = p.length := by subst_vars rfl #align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy @[simp] theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : (p.append q).length = p.length + q.length := by induction p with | nil => simp | cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc] #align simple_graph.walk.length_append SimpleGraph.Walk.length_append @[simp] theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).length = p.length + 1 := length_append _ _ #align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat @[simp] protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) : (p.reverseAux q).length = p.length + q.length := by induction p with | nil => simp! | cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc] #align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux @[simp] theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse] #align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v | nil, _ => rfl #align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v | cons h nil, _ => h @[simp] theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by constructor · rintro ⟨p, hp⟩ exact eq_of_length_eq_zero hp · rintro rfl exact ⟨nil, rfl⟩ #align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff @[simp] theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp #align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) : (p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by induction p generalizing i with | nil => simp | cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff] theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) : p.reverse.getVert i = p.getVert (p.length - i) := by induction p with | nil => rfl | cons h p ih => simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons] split_ifs next hi => rw [Nat.succ_sub hi.le] simp [getVert] next hi => obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi · simp [getVert] · rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi'] simp [getVert] theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by cases p <;> simp [concat] #align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'} {h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by induction p with | nil => cases p' · exact ⟨rfl, rfl⟩ · exfalso simp only [concat_nil, concat_cons, cons.injEq] at he obtain ⟨rfl, he⟩ := he simp only [heq_iff_eq] at he exact concat_ne_nil _ _ he.symm | cons _ _ ih => rw [concat_cons] at he cases p' · exfalso simp only [concat_nil, cons.injEq] at he obtain ⟨rfl, he⟩ := he rw [heq_iff_eq] at he exact concat_ne_nil _ _ he · rw [concat_cons, cons.injEq] at he obtain ⟨rfl, he⟩ := he rw [heq_iff_eq] at he obtain ⟨rfl, rfl⟩ := ih he exact ⟨rfl, rfl⟩ #align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj def support {u v : V} : G.Walk u v → List V | nil => [u] | cons _ p => u :: p.support #align simple_graph.walk.support SimpleGraph.Walk.support def darts {u v : V} : G.Walk u v → List G.Dart | nil => [] | cons h p => ⟨(u, _), h⟩ :: p.darts #align simple_graph.walk.darts SimpleGraph.Walk.darts def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge #align simple_graph.walk.edges SimpleGraph.Walk.edges @[simp] theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl #align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil @[simp] theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).support = u :: p.support := rfl #align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons @[simp] theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).support = p.support.concat w := by induction p <;> simp [*, concat_nil] #align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat @[simp] theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).support = p.support := by subst_vars rfl #align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : (p.append p').support = p.support ++ p'.support.tail := by induction p <;> cases p' <;> simp [*] #align simple_graph.walk.support_append SimpleGraph.Walk.support_append @[simp] theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by induction p <;> simp [support_append, *] #align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse @[simp] theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by cases p <;> simp #align simple_graph.walk.support_ne_nil SimpleGraph.Walk.support_ne_nil theorem tail_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : (p.append p').support.tail = p.support.tail ++ p'.support.tail := by rw [support_append, List.tail_append_of_ne_nil _ _ (support_ne_nil _)] #align simple_graph.walk.tail_support_append SimpleGraph.Walk.tail_support_append theorem support_eq_cons {u v : V} (p : G.Walk u v) : p.support = u :: p.support.tail := by cases p <;> simp #align simple_graph.walk.support_eq_cons SimpleGraph.Walk.support_eq_cons @[simp] theorem start_mem_support {u v : V} (p : G.Walk u v) : u ∈ p.support := by cases p <;> simp #align simple_graph.walk.start_mem_support SimpleGraph.Walk.start_mem_support @[simp] theorem end_mem_support {u v : V} (p : G.Walk u v) : v ∈ p.support := by induction p <;> simp [*] #align simple_graph.walk.end_mem_support SimpleGraph.Walk.end_mem_support @[simp] theorem support_nonempty {u v : V} (p : G.Walk u v) : { w | w ∈ p.support }.Nonempty := ⟨u, by simp⟩ #align simple_graph.walk.support_nonempty SimpleGraph.Walk.support_nonempty theorem mem_support_iff {u v w : V} (p : G.Walk u v) : w ∈ p.support ↔ w = u ∨ w ∈ p.support.tail := by cases p <;> simp #align simple_graph.walk.mem_support_iff SimpleGraph.Walk.mem_support_iff theorem mem_support_nil_iff {u v : V} : u ∈ (nil : G.Walk v v).support ↔ u = v := by simp #align simple_graph.walk.mem_support_nil_iff SimpleGraph.Walk.mem_support_nil_iff @[simp] theorem mem_tail_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : t ∈ (p.append p').support.tail ↔ t ∈ p.support.tail ∨ t ∈ p'.support.tail := by rw [tail_support_append, List.mem_append] #align simple_graph.walk.mem_tail_support_append_iff SimpleGraph.Walk.mem_tail_support_append_iff @[simp] theorem end_mem_tail_support_of_ne {u v : V} (h : u ≠ v) (p : G.Walk u v) : v ∈ p.support.tail := by obtain ⟨_, _, _, rfl⟩ := exists_eq_cons_of_ne h p simp #align simple_graph.walk.end_mem_tail_support_of_ne SimpleGraph.Walk.end_mem_tail_support_of_ne @[simp, nolint unusedHavesSuffices] theorem mem_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : t ∈ (p.append p').support ↔ t ∈ p.support ∨ t ∈ p'.support := by simp only [mem_support_iff, mem_tail_support_append_iff] obtain rfl | h := eq_or_ne t v <;> obtain rfl | h' := eq_or_ne t u <;> -- this `have` triggers the unusedHavesSuffices linter: (try have := h'.symm) <;> simp [*] #align simple_graph.walk.mem_support_append_iff SimpleGraph.Walk.mem_support_append_iff @[simp] theorem subset_support_append_left {V : Type u} {G : SimpleGraph V} {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : p.support ⊆ (p.append q).support := by simp only [Walk.support_append, List.subset_append_left] #align simple_graph.walk.subset_support_append_left SimpleGraph.Walk.subset_support_append_left @[simp] theorem subset_support_append_right {V : Type u} {G : SimpleGraph V} {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : q.support ⊆ (p.append q).support := by intro h simp (config := { contextual := true }) only [mem_support_append_iff, or_true_iff, imp_true_iff] #align simple_graph.walk.subset_support_append_right SimpleGraph.Walk.subset_support_append_right theorem coe_support {u v : V} (p : G.Walk u v) : (p.support : Multiset V) = {u} + p.support.tail := by cases p <;> rfl #align simple_graph.walk.coe_support SimpleGraph.Walk.coe_support theorem coe_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : ((p.append p').support : Multiset V) = {u} + p.support.tail + p'.support.tail := by rw [support_append, ← Multiset.coe_add, coe_support] #align simple_graph.walk.coe_support_append SimpleGraph.Walk.coe_support_append theorem coe_support_append' [DecidableEq V] {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : ((p.append p').support : Multiset V) = p.support + p'.support - {v} := by rw [support_append, ← Multiset.coe_add] simp only [coe_support] rw [add_comm ({v} : Multiset V)] simp only [← add_assoc, add_tsub_cancel_right] #align simple_graph.walk.coe_support_append' SimpleGraph.Walk.coe_support_append' theorem chain_adj_support {u v w : V} (h : G.Adj u v) : ∀ (p : G.Walk v w), List.Chain G.Adj u p.support | nil => List.Chain.cons h List.Chain.nil | cons h' p => List.Chain.cons h (chain_adj_support h' p) #align simple_graph.walk.chain_adj_support SimpleGraph.Walk.chain_adj_support theorem chain'_adj_support {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.Adj p.support | nil => List.Chain.nil | cons h p => chain_adj_support h p #align simple_graph.walk.chain'_adj_support SimpleGraph.Walk.chain'_adj_support theorem chain_dartAdj_darts {d : G.Dart} {v w : V} (h : d.snd = v) (p : G.Walk v w) : List.Chain G.DartAdj d p.darts := by induction p generalizing d with | nil => exact List.Chain.nil -- Porting note: needed to defer `h` and `rfl` to help elaboration | cons h' p ih => exact List.Chain.cons (by exact h) (ih (by rfl)) #align simple_graph.walk.chain_dart_adj_darts SimpleGraph.Walk.chain_dartAdj_darts theorem chain'_dartAdj_darts {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.DartAdj p.darts | nil => trivial -- Porting note: needed to defer `rfl` to help elaboration | cons h p => chain_dartAdj_darts (by rfl) p #align simple_graph.walk.chain'_dart_adj_darts SimpleGraph.Walk.chain'_dartAdj_darts theorem edges_subset_edgeSet {u v : V} : ∀ (p : G.Walk u v) ⦃e : Sym2 V⦄, e ∈ p.edges → e ∈ G.edgeSet | cons h' p', e, h => by cases h · exact h' next h' => exact edges_subset_edgeSet p' h' #align simple_graph.walk.edges_subset_edge_set SimpleGraph.Walk.edges_subset_edgeSet theorem adj_of_mem_edges {u v x y : V} (p : G.Walk u v) (h : s(x, y) ∈ p.edges) : G.Adj x y := edges_subset_edgeSet p h #align simple_graph.walk.adj_of_mem_edges SimpleGraph.Walk.adj_of_mem_edges @[simp] theorem darts_nil {u : V} : (nil : G.Walk u u).darts = [] := rfl #align simple_graph.walk.darts_nil SimpleGraph.Walk.darts_nil @[simp] theorem darts_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).darts = ⟨(u, v), h⟩ :: p.darts := rfl #align simple_graph.walk.darts_cons SimpleGraph.Walk.darts_cons @[simp] theorem darts_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).darts = p.darts.concat ⟨(v, w), h⟩ := by induction p <;> simp [*, concat_nil] #align simple_graph.walk.darts_concat SimpleGraph.Walk.darts_concat @[simp] theorem darts_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).darts = p.darts := by subst_vars rfl #align simple_graph.walk.darts_copy SimpleGraph.Walk.darts_copy @[simp] theorem darts_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : (p.append p').darts = p.darts ++ p'.darts := by induction p <;> simp [*] #align simple_graph.walk.darts_append SimpleGraph.Walk.darts_append @[simp]
Mathlib/Combinatorics/SimpleGraph/Connectivity.lean
730
732
theorem darts_reverse {u v : V} (p : G.Walk u v) : p.reverse.darts = (p.darts.map Dart.symm).reverse := by
induction p <;> simp [*, Sym2.eq_swap]
import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Data.Nat.SuccPred #align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7" assert_not_exists Field assert_not_exists Module noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop} @[simp] theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_add Ordinal.lift_add @[simp] theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by rw [← add_one_eq_succ, lift_add, lift_one] rfl #align ordinal.lift_succ Ordinal.lift_succ instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) := ⟨fun a b c => inductionOn a fun α r hr => inductionOn b fun β₁ s₁ hs₁ => inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ => ⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using @InitialSeg.eq _ _ _ _ _ ((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by intro b; cases e : f (Sum.inr b) · rw [← fl] at e have := f.inj' e contradiction · exact ⟨_, rfl⟩ let g (b) := (this b).1 have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2 ⟨⟨⟨g, fun x y h => by injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩, @fun a b => by -- Porting note: -- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding` -- → `InitialSeg.coe_coe_fn` simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using @RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩, fun a b H => by rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩ · rw [fl] at h cases h · rw [fr] at h exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩ #align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by simp only [le_antisymm_iff, add_le_add_iff_left] #align ordinal.add_left_cancel Ordinal.add_left_cancel private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by rw [← not_le, ← not_le, add_le_add_iff_left] instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩ #align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩ #align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt instance add_swap_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) := ⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩ #align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b | 0 => by simp | n + 1 => by simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right] #align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by simp only [le_antisymm_iff, add_le_add_iff_right] #align ordinal.add_right_cancel Ordinal.add_right_cancel theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 := inductionOn a fun α r _ => inductionOn b fun β s _ => by simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty] exact isEmpty_sum #align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 := (add_eq_zero_iff.1 h).1 #align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 := (add_eq_zero_iff.1 h).2 #align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero def pred (o : Ordinal) : Ordinal := if h : ∃ a, o = succ a then Classical.choose h else o #align ordinal.pred Ordinal.pred @[simp] theorem pred_succ (o) : pred (succ o) = o := by have h : ∃ a, succ o = succ a := ⟨_, rfl⟩; simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm #align ordinal.pred_succ Ordinal.pred_succ theorem pred_le_self (o) : pred o ≤ o := if h : ∃ a, o = succ a then by let ⟨a, e⟩ := h rw [e, pred_succ]; exact le_succ a else by rw [pred, dif_neg h] #align ordinal.pred_le_self Ordinal.pred_le_self theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a := ⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩ #align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by simpa using pred_eq_iff_not_succ #align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ' theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a := Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le]) (iff_not_comm.1 pred_eq_iff_not_succ).symm #align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ @[simp] theorem pred_zero : pred 0 = 0 := pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm #align ordinal.pred_zero Ordinal.pred_zero theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a := ⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩ #align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o := ⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩ #align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ theorem lt_pred {a b} : a < pred b ↔ succ a < b := if h : ∃ a, b = succ a then by let ⟨c, e⟩ := h rw [e, pred_succ, succ_lt_succ_iff] else by simp only [pred, dif_neg h, succ_lt_of_not_succ h] #align ordinal.lt_pred Ordinal.lt_pred theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b := le_iff_le_iff_lt_iff_lt.2 lt_pred #align ordinal.pred_le Ordinal.pred_le @[simp] theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a := ⟨fun ⟨a, h⟩ => let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a ⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩, fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩ #align ordinal.lift_is_succ Ordinal.lift_is_succ @[simp] theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) := if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ] else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)] #align ordinal.lift_pred Ordinal.lift_pred def IsLimit (o : Ordinal) : Prop := o ≠ 0 ∧ ∀ a < o, succ a < o #align ordinal.is_limit Ordinal.IsLimit theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2 theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o := h.2 a #align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot theorem not_zero_isLimit : ¬IsLimit 0 | ⟨h, _⟩ => h rfl #align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit theorem not_succ_isLimit (o) : ¬IsLimit (succ o) | ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o)) #align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a | ⟨a, e⟩ => not_succ_isLimit a (e ▸ h) #align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o := ⟨(lt_succ a).trans, h.2 _⟩ #align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a := le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h #align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a := ⟨fun h _x l => l.le.trans h, fun H => (le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩ #align ordinal.limit_le Ordinal.limit_le theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a) #align ordinal.lt_limit Ordinal.lt_limit @[simp] theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o := and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0) ⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by obtain ⟨a', rfl⟩ := lift_down h.le rw [← lift_succ, lift_lt] exact H a' (lift_lt.1 h)⟩ #align ordinal.lift_is_limit Ordinal.lift_isLimit theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o := lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm #align ordinal.is_limit.pos Ordinal.IsLimit.pos theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by simpa only [succ_zero] using h.2 _ h.pos #align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o | 0 => h.pos | n + 1 => h.2 _ (IsLimit.nat_lt h n) #align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o := if o0 : o = 0 then Or.inl o0 else if h : ∃ a, o = succ a then Or.inr (Or.inl h) else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩ #align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit @[elab_as_elim] def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o)) (H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o := SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦ if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩ #align ordinal.limit_rec_on Ordinal.limitRecOn @[simp] theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl] #align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero @[simp] theorem limitRecOn_succ {C} (o H₁ H₂ H₃) : @limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)] #align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ @[simp] theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) : @limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1] #align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α := @OrderTop.mk _ _ (Top.mk _) le_enum_succ #align ordinal.order_top_out_succ Ordinal.orderTopOutSucc theorem enum_succ_eq_top {o : Ordinal} : enum (· < ·) o (by rw [type_lt] exact lt_succ o) = (⊤ : (succ o).out.α) := rfl #align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r] (h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by use enum r (succ (typein r x)) (h _ (typein_lt_type r x)) convert (enum_lt_enum (typein_lt_type r x) (h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein] #align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α := ⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩ #align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) : Bounded r {x} := by refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩ intro b hb rw [mem_singleton_iff.1 hb] nth_rw 1 [← enum_typein r x] rw [@enum_lt_enum _ r] apply lt_succ #align ordinal.bounded_singleton Ordinal.bounded_singleton -- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance. theorem type_subrel_lt (o : Ordinal.{u}) : type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o }) = Ordinal.lift.{u + 1} o := by refine Quotient.inductionOn o ?_ rintro ⟨α, r, wo⟩; apply Quotient.sound -- Porting note: `symm; refine' [term]` → `refine' [term].symm` constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm #align ordinal.type_subrel_lt Ordinal.type_subrel_lt theorem mk_initialSeg (o : Ordinal.{u}) : #{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by rw [lift_card, ← type_subrel_lt, card_type] #align ordinal.mk_initial_seg Ordinal.mk_initialSeg def IsNormal (f : Ordinal → Ordinal) : Prop := (∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a #align ordinal.is_normal Ordinal.IsNormal theorem IsNormal.limit_le {f} (H : IsNormal f) : ∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a := @H.2 #align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} : a < f o ↔ ∃ b < o, a < f b := not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a #align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b => limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _)) (fun _b IH h => (lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _) fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h)) #align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f := H.strictMono.monotone #align ordinal.is_normal.monotone Ordinal.IsNormal.monotone theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) : IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a := ⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ => ⟨fun a => hs (lt_succ a), fun a ha c => ⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩ #align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b := StrictMono.lt_iff_lt <| H.strictMono #align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b := le_iff_le_iff_lt_iff_lt.2 H.lt_iff #align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by simp only [le_antisymm_iff, H.le_iff] #align ordinal.is_normal.inj Ordinal.IsNormal.inj theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a := lt_wf.self_le_of_strictMono H.strictMono a #align ordinal.is_normal.self_le Ordinal.IsNormal.self_le theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o := ⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by -- Porting note: `refine'` didn't work well so `induction` is used induction b using limitRecOn with | H₁ => cases' p0 with x px have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px) rw [this] at px exact h _ px | H₂ S _ => rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩ exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁) | H₃ S L _ => refine (H.2 _ L _).2 fun a h' => ?_ rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩ exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩ #align ordinal.is_normal.le_set Ordinal.IsNormal.le_set theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by simpa [H₂] using H.le_set (g '' p) (p0.image g) b #align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set' theorem IsNormal.refl : IsNormal id := ⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩ #align ordinal.is_normal.refl Ordinal.IsNormal.refl theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) := ⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a => H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩ #align ordinal.is_normal.trans Ordinal.IsNormal.trans theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) := ⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h => let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h (succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩ #align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a := (H.self_le a).le_iff_eq #align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c := ⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H => le_of_not_lt <| by -- Porting note: `induction` tactics are required because of the parser bug. induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => intro l suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by -- Porting note: `revert` & `intro` is required because `cases'` doesn't replace -- `enum _ _ l` in `this`. revert this; cases' enum _ _ l with x x <;> intro this · cases this (enum s 0 h.pos) · exact irrefl _ (this _) intro x rw [← typein_lt_typein (Sum.Lex r s), typein_enum] have := H _ (h.2 _ (typein_lt_type s x)) rw [add_succ, succ_le_iff] at this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨a | b, h⟩ · exact Sum.inl a · exact Sum.inr ⟨b, by cases h; assumption⟩ · rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;> rintro ⟨⟩ <;> constructor <;> assumption⟩ #align ordinal.add_le_of_limit Ordinal.add_le_of_limit theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) := ⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩ #align ordinal.add_is_normal Ordinal.add_isNormal theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) := (add_isNormal a).isLimit #align ordinal.add_is_limit Ordinal.add_isLimit alias IsLimit.add := add_isLimit #align ordinal.is_limit.add Ordinal.IsLimit.add theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty := ⟨a, le_add_left _ _⟩ #align ordinal.sub_nonempty Ordinal.sub_nonempty instance sub : Sub Ordinal := ⟨fun a b => sInf { o | a ≤ b + o }⟩ theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) := csInf_mem sub_nonempty #align ordinal.le_add_sub Ordinal.le_add_sub theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c := ⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩ #align ordinal.sub_le Ordinal.sub_le theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b := lt_iff_lt_of_le_iff_le sub_le #align ordinal.lt_sub Ordinal.lt_sub theorem add_sub_cancel (a b : Ordinal) : a + b - a = b := le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _) #align ordinal.add_sub_cancel Ordinal.add_sub_cancel theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b := h ▸ add_sub_cancel _ _ #align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq theorem sub_le_self (a b : Ordinal) : a - b ≤ a := sub_le.2 <| le_add_left _ _ #align ordinal.sub_le_self Ordinal.sub_le_self protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a := (le_add_sub a b).antisymm' (by rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l) · simp only [e, add_zero, h] · rw [e, add_succ, succ_le_iff, ← lt_sub, e] exact lt_succ c · exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le) #align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h] #align ordinal.le_sub_of_le Ordinal.le_sub_of_le theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c := lt_iff_lt_of_le_iff_le (le_sub_of_le h) #align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le instance existsAddOfLE : ExistsAddOfLE Ordinal := ⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩ @[simp] theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a #align ordinal.sub_zero Ordinal.sub_zero @[simp] theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self #align ordinal.zero_sub Ordinal.zero_sub @[simp] theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0 #align ordinal.sub_self Ordinal.sub_self protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b := ⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by rwa [← Ordinal.le_zero, sub_le, add_zero]⟩ #align ordinal.sub_eq_zero_iff_le Ordinal.sub_eq_zero_iff_le theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) := eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc] #align ordinal.sub_sub Ordinal.sub_sub @[simp] theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by rw [← sub_sub, add_sub_cancel] #align ordinal.add_sub_add_cancel Ordinal.add_sub_add_cancel theorem sub_isLimit {a b} (l : IsLimit a) (h : b < a) : IsLimit (a - b) := ⟨ne_of_gt <| lt_sub.2 <| by rwa [add_zero], fun c h => by rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩ #align ordinal.sub_is_limit Ordinal.sub_isLimit -- @[simp] -- Porting note (#10618): simp can prove this theorem one_add_omega : 1 + ω = ω := by refine le_antisymm ?_ (le_add_left _ _) rw [omega, ← lift_one.{_, 0}, ← lift_add, lift_le, ← type_unit, ← type_sum_lex] refine ⟨RelEmbedding.collapse (RelEmbedding.ofMonotone ?_ ?_)⟩ · apply Sum.rec · exact fun _ => 0 · exact Nat.succ · intro a b cases a <;> cases b <;> intro H <;> cases' H with _ _ H _ _ H <;> [exact H.elim; exact Nat.succ_pos _; exact Nat.succ_lt_succ H] #align ordinal.one_add_omega Ordinal.one_add_omega @[simp] theorem one_add_of_omega_le {o} (h : ω ≤ o) : 1 + o = o := by rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, one_add_omega] #align ordinal.one_add_of_omega_le Ordinal.one_add_of_omega_le instance monoid : Monoid Ordinal.{u} where mul a b := Quotient.liftOn₂ a b (fun ⟨α, r, wo⟩ ⟨β, s, wo'⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ : WellOrder → WellOrder → Ordinal) fun ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩ => Quot.sound ⟨RelIso.prodLexCongr g f⟩ one := 1 mul_assoc a b c := Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ => Eq.symm <| Quotient.sound ⟨⟨prodAssoc _ _ _, @fun a b => by rcases a with ⟨⟨a₁, a₂⟩, a₃⟩ rcases b with ⟨⟨b₁, b₂⟩, b₃⟩ simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩ mul_one a := inductionOn a fun α r _ => Quotient.sound ⟨⟨punitProd _, @fun a b => by rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩ simp only [Prod.lex_def, EmptyRelation, false_or_iff] simp only [eq_self_iff_true, true_and_iff] rfl⟩⟩ one_mul a := inductionOn a fun α r _ => Quotient.sound ⟨⟨prodPUnit _, @fun a b => by rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩ simp only [Prod.lex_def, EmptyRelation, and_false_iff, or_false_iff] rfl⟩⟩ @[simp] theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r] [IsWellOrder β s] : type (Prod.Lex s r) = type r * type s := rfl #align ordinal.type_prod_lex Ordinal.type_prod_lex private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 := inductionOn a fun α _ _ => inductionOn b fun β _ _ => by simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty] rw [or_comm] exact isEmpty_prod instance monoidWithZero : MonoidWithZero Ordinal := { Ordinal.monoid with zero := 0 mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl } instance noZeroDivisors : NoZeroDivisors Ordinal := ⟨fun {_ _} => mul_eq_zero'.1⟩ @[simp] theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_mul Ordinal.lift_mul @[simp] theorem card_mul (a b) : card (a * b) = card a * card b := Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α #align ordinal.card_mul Ordinal.card_mul instance leftDistribClass : LeftDistribClass Ordinal.{u} := ⟨fun a b c => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ => Quotient.sound ⟨⟨sumProdDistrib _ _ _, by rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;> simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl, Sum.lex_inr_inr, sumProdDistrib_apply_left, sumProdDistrib_apply_right] <;> -- Porting note: `Sum.inr.inj_iff` is required. simp only [Sum.inl.inj_iff, Sum.inr.inj_iff, true_or_iff, false_and_iff, false_or_iff]⟩⟩⟩ theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a := mul_add_one a b #align ordinal.mul_succ Ordinal.mul_succ instance mul_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· * ·) (· ≤ ·) := ⟨fun c a b => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by refine (RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h' · exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h') · exact Prod.Lex.right _ h'⟩ #align ordinal.mul_covariant_class_le Ordinal.mul_covariantClass_le instance mul_swap_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (swap (· * ·)) (· ≤ ·) := ⟨fun c a b => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by refine (RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h' · exact Prod.Lex.left _ _ h' · exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩ #align ordinal.mul_swap_covariant_class_le Ordinal.mul_swap_covariantClass_le theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by convert mul_le_mul_left' (one_le_iff_pos.2 hb) a rw [mul_one a] #align ordinal.le_mul_left Ordinal.le_mul_left theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by convert mul_le_mul_right' (one_le_iff_pos.2 hb) a rw [one_mul a] #align ordinal.le_mul_right Ordinal.le_mul_right private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c} (h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) : False := by suffices ∀ a b, Prod.Lex s r (b, a) (enum _ _ l) by cases' enum _ _ l with b a exact irrefl _ (this _ _) intro a b rw [← typein_lt_typein (Prod.Lex s r), typein_enum] have := H _ (h.2 _ (typein_lt_type s b)) rw [mul_succ] at this have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨⟨b', a'⟩, h⟩ by_cases e : b = b' · refine Sum.inr ⟨a', ?_⟩ subst e cases' h with _ _ _ _ h _ _ _ h · exact (irrefl _ h).elim · exact h · refine Sum.inl (⟨b', ?_⟩, a') cases' h with _ _ _ _ h _ _ _ h · exact h · exact (e rfl).elim · rcases a with ⟨⟨b₁, a₁⟩, h₁⟩ rcases b with ⟨⟨b₂, a₂⟩, h₂⟩ intro h by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂ · substs b₁ b₂ simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and_iff, false_or_iff, eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h · subst b₁ simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true, or_false_iff, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and_iff] at h ⊢ cases' h₂ with _ _ _ _ h₂_h h₂_h <;> [exact asymm h h₂_h; exact e₂ rfl] -- Porting note: `cc` hadn't ported yet. · simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁] · simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk, Sum.lex_inl_inl] using h theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c := ⟨fun h b' l => (mul_le_mul_left' l.le _).trans h, fun H => -- Porting note: `induction` tactics are required because of the parser bug. le_of_not_lt <| by induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => exact mul_le_of_limit_aux h H⟩ #align ordinal.mul_le_of_limit Ordinal.mul_le_of_limit theorem mul_isNormal {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) := -- Porting note(#12129): additional beta reduction needed ⟨fun b => by beta_reduce rw [mul_succ] simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h, fun b l c => mul_le_of_limit l⟩ #align ordinal.mul_is_normal Ordinal.mul_isNormal theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h) #align ordinal.lt_mul_of_limit Ordinal.lt_mul_of_limit theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c := (mul_isNormal a0).lt_iff #align ordinal.mul_lt_mul_iff_left Ordinal.mul_lt_mul_iff_left theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c := (mul_isNormal a0).le_iff #align ordinal.mul_le_mul_iff_left Ordinal.mul_le_mul_iff_left theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b := (mul_lt_mul_iff_left c0).2 h #align ordinal.mul_lt_mul_of_pos_left Ordinal.mul_lt_mul_of_pos_left theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁ #align ordinal.mul_pos Ordinal.mul_pos theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by simpa only [Ordinal.pos_iff_ne_zero] using mul_pos #align ordinal.mul_ne_zero Ordinal.mul_ne_zero theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b := le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h #align ordinal.le_of_mul_le_mul_left Ordinal.le_of_mul_le_mul_left theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c := (mul_isNormal a0).inj #align ordinal.mul_right_inj Ordinal.mul_right_inj theorem mul_isLimit {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) := (mul_isNormal a0).isLimit #align ordinal.mul_is_limit Ordinal.mul_isLimit theorem mul_isLimit_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb) · exact b0.false.elim · rw [mul_succ] exact add_isLimit _ l · exact mul_isLimit l.pos lb #align ordinal.mul_is_limit_left Ordinal.mul_isLimit_left theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n | 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero] | n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n] #align ordinal.smul_eq_mul Ordinal.smul_eq_mul theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty := ⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by simpa only [succ_zero, one_mul] using mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩ #align ordinal.div_nonempty Ordinal.div_nonempty instance div : Div Ordinal := ⟨fun a b => if _h : b = 0 then 0 else sInf { o | a < b * succ o }⟩ @[simp] theorem div_zero (a : Ordinal) : a / 0 = 0 := dif_pos rfl #align ordinal.div_zero Ordinal.div_zero theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } := dif_neg h #align ordinal.div_def Ordinal.div_def theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by rw [div_def a h]; exact csInf_mem (div_nonempty h) #align ordinal.lt_mul_succ_div Ordinal.lt_mul_succ_div theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by simpa only [mul_succ] using lt_mul_succ_div a h #align ordinal.lt_mul_div_add Ordinal.lt_mul_div_add theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c := ⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by rw [div_def a b0]; exact csInf_le' h⟩ #align ordinal.div_le Ordinal.div_le theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by rw [← not_le, div_le h, not_lt] #align ordinal.lt_div Ordinal.lt_div theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h] #align ordinal.div_pos Ordinal.div_pos theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by induction a using limitRecOn with | H₁ => simp only [mul_zero, Ordinal.zero_le] | H₂ _ _ => rw [succ_le_iff, lt_div c0] | H₃ _ h₁ h₂ => revert h₁ h₂ simp (config := { contextual := true }) only [mul_le_of_limit, limit_le, iff_self_iff, forall_true_iff] #align ordinal.le_div Ordinal.le_div theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c := lt_iff_lt_of_le_iff_le <| le_div b0 #align ordinal.div_lt Ordinal.div_lt theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c := if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le] else (div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0) #align ordinal.div_le_of_le_mul Ordinal.div_le_of_le_mul theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b := lt_imp_lt_of_le_imp_le div_le_of_le_mul #align ordinal.mul_lt_of_lt_div Ordinal.mul_lt_of_lt_div @[simp] theorem zero_div (a : Ordinal) : 0 / a = 0 := Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _ #align ordinal.zero_div Ordinal.zero_div theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a := if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl #align ordinal.mul_div_le Ordinal.mul_div_le theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by apply le_antisymm · apply (div_le b0).2 rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left] apply lt_mul_div_add _ b0 · rw [le_div b0, mul_add, add_le_add_iff_left] apply mul_div_le #align ordinal.mul_add_div Ordinal.mul_add_div theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h] simpa only [succ_zero, mul_one] using h #align ordinal.div_eq_zero_of_lt Ordinal.div_eq_zero_of_lt @[simp] theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by simpa only [add_zero, zero_div] using mul_add_div a b0 0 #align ordinal.mul_div_cancel Ordinal.mul_div_cancel @[simp] theorem div_one (a : Ordinal) : a / 1 = a := by simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero #align ordinal.div_one Ordinal.div_one @[simp] theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by simpa only [mul_one] using mul_div_cancel 1 h #align ordinal.div_self Ordinal.div_self theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c := if a0 : a = 0 then by simp only [a0, zero_mul, sub_self] else eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0] #align ordinal.mul_sub Ordinal.mul_sub theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by constructor <;> intro h · by_cases h' : b = 0 · rw [h', add_zero] at h right exact ⟨h', h⟩ left rw [← add_sub_cancel a b] apply sub_isLimit h suffices a + 0 < a + b by simpa only [add_zero] using this rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero] rcases h with (h | ⟨rfl, h⟩) · exact add_isLimit a h · simpa only [add_zero] #align ordinal.is_limit_add_iff Ordinal.isLimit_add_iff theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c) | a, _, c, ⟨b, rfl⟩ => ⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by rw [e, ← mul_add] apply dvd_mul_right⟩ #align ordinal.dvd_add_iff Ordinal.dvd_add_iff theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b | a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0] #align ordinal.div_mul_cancel Ordinal.div_mul_cancel theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b -- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e` | a, _, b0, ⟨b, e⟩ => by subst e -- Porting note: `Ne` is required. simpa only [mul_one] using mul_le_mul_left' (one_le_iff_ne_zero.2 fun h : b = 0 => by simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a #align ordinal.le_of_dvd Ordinal.le_of_dvd theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b := if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm else if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂ else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂) #align ordinal.dvd_antisymm Ordinal.dvd_antisymm instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) := ⟨@dvd_antisymm⟩ instance mod : Mod Ordinal := ⟨fun a b => a - b * (a / b)⟩ theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) := rfl #align ordinal.mod_def Ordinal.mod_def theorem mod_le (a b : Ordinal) : a % b ≤ a := sub_le_self a _ #align ordinal.mod_le Ordinal.mod_le @[simp] theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero] #align ordinal.mod_zero Ordinal.mod_zero theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero] #align ordinal.mod_eq_of_lt Ordinal.mod_eq_of_lt @[simp] theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self] #align ordinal.zero_mod Ordinal.zero_mod theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a := Ordinal.add_sub_cancel_of_le <| mul_div_le _ _ #align ordinal.div_add_mod Ordinal.div_add_mod theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b := (add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h #align ordinal.mod_lt Ordinal.mod_lt @[simp] theorem mod_self (a : Ordinal) : a % a = 0 := if a0 : a = 0 then by simp only [a0, zero_mod] else by simp only [mod_def, div_self a0, mul_one, sub_self] #align ordinal.mod_self Ordinal.mod_self @[simp] theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self] #align ordinal.mod_one Ordinal.mod_one theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a := ⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩ #align ordinal.dvd_of_mod_eq_zero Ordinal.dvd_of_mod_eq_zero theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by rcases H with ⟨c, rfl⟩ rcases eq_or_ne b 0 with (rfl | hb) · simp · simp [mod_def, hb] #align ordinal.mod_eq_zero_of_dvd Ordinal.mod_eq_zero_of_dvd theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 := ⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩ #align ordinal.dvd_iff_mod_eq_zero Ordinal.dvd_iff_mod_eq_zero @[simp] theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by rcases eq_or_ne x 0 with rfl | hx · simp · rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def] #align ordinal.mul_add_mod_self Ordinal.mul_add_mod_self @[simp] theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by simpa using mul_add_mod_self x y 0 #align ordinal.mul_mod Ordinal.mul_mod theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by nth_rw 2 [← div_add_mod a b] rcases h with ⟨d, rfl⟩ rw [mul_assoc, mul_add_mod_self] #align ordinal.mod_mod_of_dvd Ordinal.mod_mod_of_dvd @[simp] theorem mod_mod (a b : Ordinal) : a % b % b = a % b := mod_mod_of_dvd a dvd_rfl #align ordinal.mod_mod Ordinal.mod_mod def bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) : ∀ a < type r, α := fun a ha => f (enum r a ha) #align ordinal.bfamily_of_family' Ordinal.bfamilyOfFamily' def bfamilyOfFamily {ι : Type u} : (ι → α) → ∀ a < type (@WellOrderingRel ι), α := bfamilyOfFamily' WellOrderingRel #align ordinal.bfamily_of_family Ordinal.bfamilyOfFamily def familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) : ι → α := fun i => f (typein r i) (by rw [← ho] exact typein_lt_type r i) #align ordinal.family_of_bfamily' Ordinal.familyOfBFamily' def familyOfBFamily (o : Ordinal) (f : ∀ a < o, α) : o.out.α → α := familyOfBFamily' (· < ·) (type_lt o) f #align ordinal.family_of_bfamily Ordinal.familyOfBFamily @[simp] theorem bfamilyOfFamily'_typein {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (i) : bfamilyOfFamily' r f (typein r i) (typein_lt_type r i) = f i := by simp only [bfamilyOfFamily', enum_typein] #align ordinal.bfamily_of_family'_typein Ordinal.bfamilyOfFamily'_typein @[simp] theorem bfamilyOfFamily_typein {ι} (f : ι → α) (i) : bfamilyOfFamily f (typein _ i) (typein_lt_type _ i) = f i := bfamilyOfFamily'_typein _ f i #align ordinal.bfamily_of_family_typein Ordinal.bfamilyOfFamily_typein @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
Mathlib/SetTheory/Ordinal/Arithmetic.lean
1,149
1,152
theorem familyOfBFamily'_enum {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) (i hi) : familyOfBFamily' r ho f (enum r i (by rwa [ho])) = f i hi := by
simp only [familyOfBFamily', typein_enum]
import Mathlib.Algebra.Homology.ImageToKernel #align_import algebra.homology.exact from "leanprover-community/mathlib"@"3feb151caefe53df080ca6ca67a0c6685cfd1b82" universe v v₂ u u₂ open CategoryTheory CategoryTheory.Limits variable {V : Type u} [Category.{v} V] variable [HasImages V] namespace CategoryTheory -- One nice feature of this definition is that we have -- `Epi f → Exact g h → Exact (f ≫ g) h` and `Exact f g → Mono h → Exact f (g ≫ h)`, -- which do not necessarily hold in a non-abelian category with the usual definition of `Exact`. structure Exact [HasZeroMorphisms V] [HasKernels V] {A B C : V} (f : A ⟶ B) (g : B ⟶ C) : Prop where w : f ≫ g = 0 epi : Epi (imageToKernel f g w) #align category_theory.exact CategoryTheory.Exact -- Porting note: it seems it no longer works in Lean4, so that some `haveI` have been added below -- This works as an instance even though `Exact` itself is not a class, as long as the goal is -- literally of the form `Epi (imageToKernel f g h.w)` (where `h : Exact f g`). If the proof of -- `f ≫ g = 0` looks different, we are out of luck and have to add the instance by hand. attribute [instance] Exact.epi attribute [reassoc] Exact.w section variable [HasZeroObject V] [Preadditive V] [HasKernels V] [HasCokernels V] open ZeroObject theorem Preadditive.exact_iff_homology'_zero {A B C : V} (f : A ⟶ B) (g : B ⟶ C) : Exact f g ↔ ∃ w : f ≫ g = 0, Nonempty (homology' f g w ≅ 0) := ⟨fun h => ⟨h.w, ⟨by haveI := h.epi exact cokernel.ofEpi _⟩⟩, fun h => by obtain ⟨w, ⟨i⟩⟩ := h exact ⟨w, Preadditive.epi_of_cokernel_zero ((cancel_mono i.hom).mp (by ext))⟩⟩ #align category_theory.preadditive.exact_iff_homology_zero CategoryTheory.Preadditive.exact_iff_homology'_zero theorem Preadditive.exact_of_iso_of_exact {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁) (f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : Arrow.mk f₁ ≅ Arrow.mk f₂) (β : Arrow.mk g₁ ≅ Arrow.mk g₂) (p : α.hom.right = β.hom.left) (h : Exact f₁ g₁) : Exact f₂ g₂ := by rw [Preadditive.exact_iff_homology'_zero] at h ⊢ rcases h with ⟨w₁, ⟨i⟩⟩ suffices w₂ : f₂ ≫ g₂ = 0 from ⟨w₂, ⟨(homology'.mapIso w₁ w₂ α β p).symm.trans i⟩⟩ rw [← cancel_epi α.hom.left, ← cancel_mono β.inv.right, comp_zero, zero_comp, ← w₁] have eq₁ := β.inv.w have eq₂ := α.hom.w dsimp at eq₁ eq₂ simp only [Category.assoc, Category.assoc, ← eq₁, reassoc_of% eq₂, p, ← reassoc_of% (Arrow.comp_left β.hom β.inv), β.hom_inv_id, Arrow.id_left, Category.id_comp] #align category_theory.preadditive.exact_of_iso_of_exact CategoryTheory.Preadditive.exact_of_iso_of_exact theorem Preadditive.exact_of_iso_of_exact' {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁) (f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : A₁ ≅ A₂) (β : B₁ ≅ B₂) (γ : C₁ ≅ C₂) (hsq₁ : α.hom ≫ f₂ = f₁ ≫ β.hom) (hsq₂ : β.hom ≫ g₂ = g₁ ≫ γ.hom) (h : Exact f₁ g₁) : Exact f₂ g₂ := Preadditive.exact_of_iso_of_exact f₁ g₁ f₂ g₂ (Arrow.isoMk α β hsq₁) (Arrow.isoMk β γ hsq₂) rfl h #align category_theory.preadditive.exact_of_iso_of_exact' CategoryTheory.Preadditive.exact_of_iso_of_exact' theorem Preadditive.exact_iff_exact_of_iso {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁) (f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : Arrow.mk f₁ ≅ Arrow.mk f₂) (β : Arrow.mk g₁ ≅ Arrow.mk g₂) (p : α.hom.right = β.hom.left) : Exact f₁ g₁ ↔ Exact f₂ g₂ := ⟨Preadditive.exact_of_iso_of_exact _ _ _ _ _ _ p, Preadditive.exact_of_iso_of_exact _ _ _ _ α.symm β.symm (by rw [← cancel_mono α.hom.right] simp only [Iso.symm_hom, ← Arrow.comp_right, α.inv_hom_id] simp only [p, ← Arrow.comp_left, Arrow.id_right, Arrow.id_left, Iso.inv_hom_id] rfl)⟩ #align category_theory.preadditive.exact_iff_exact_of_iso CategoryTheory.Preadditive.exact_iff_exact_of_iso end section variable [HasZeroMorphisms V] [HasKernels V] theorem comp_eq_zero_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C) (p : imageSubobject f = kernelSubobject g) : f ≫ g = 0 := by suffices Subobject.arrow (imageSubobject f) ≫ g = 0 by rw [← imageSubobject_arrow_comp f, Category.assoc, this, comp_zero] rw [p, kernelSubobject_arrow_comp] #align category_theory.comp_eq_zero_of_image_eq_kernel CategoryTheory.comp_eq_zero_of_image_eq_kernel theorem imageToKernel_isIso_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C) (p : imageSubobject f = kernelSubobject g) : IsIso (imageToKernel f g (comp_eq_zero_of_image_eq_kernel f g p)) := by refine ⟨⟨Subobject.ofLE _ _ p.ge, ?_⟩⟩ dsimp [imageToKernel] simp only [Subobject.ofLE_comp_ofLE, Subobject.ofLE_refl, and_self] #align category_theory.image_to_kernel_is_iso_of_image_eq_kernel CategoryTheory.imageToKernel_isIso_of_image_eq_kernel -- We'll prove the converse later, when `V` is abelian. theorem exact_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C) (p : imageSubobject f = kernelSubobject g) : Exact f g := { w := comp_eq_zero_of_image_eq_kernel f g p epi := by haveI := imageToKernel_isIso_of_image_eq_kernel f g p infer_instance } #align category_theory.exact_of_image_eq_kernel CategoryTheory.exact_of_image_eq_kernel end variable {A B C D : V} {f : A ⟶ B} {g : B ⟶ C} {h : C ⟶ D} attribute [local instance] epi_comp section variable [HasZeroMorphisms V] [HasEqualizers V] theorem exact_comp_hom_inv_comp (i : B ≅ D) (h : Exact f g) : Exact (f ≫ i.hom) (i.inv ≫ g) := by refine ⟨by simp [h.w], ?_⟩ rw [imageToKernel_comp_hom_inv_comp] haveI := h.epi infer_instance #align category_theory.exact_comp_hom_inv_comp CategoryTheory.exact_comp_hom_inv_comp theorem exact_comp_inv_hom_comp (i : D ≅ B) (h : Exact f g) : Exact (f ≫ i.inv) (i.hom ≫ g) := exact_comp_hom_inv_comp i.symm h #align category_theory.exact_comp_inv_hom_comp CategoryTheory.exact_comp_inv_hom_comp theorem exact_comp_hom_inv_comp_iff (i : B ≅ D) : Exact (f ≫ i.hom) (i.inv ≫ g) ↔ Exact f g := ⟨fun h => by simpa using exact_comp_inv_hom_comp i h, exact_comp_hom_inv_comp i⟩ #align category_theory.exact_comp_hom_inv_comp_iff CategoryTheory.exact_comp_hom_inv_comp_iff theorem exact_epi_comp (hgh : Exact g h) [Epi f] : Exact (f ≫ g) h := by refine ⟨by simp [hgh.w], ?_⟩ rw [imageToKernel_comp_left] · haveI := hgh.epi infer_instance #align category_theory.exact_epi_comp CategoryTheory.exact_epi_comp @[simp] theorem exact_iso_comp [IsIso f] : Exact (f ≫ g) h ↔ Exact g h := ⟨fun w => by rw [← IsIso.inv_hom_id_assoc f g] exact exact_epi_comp w, fun w => exact_epi_comp w⟩ #align category_theory.exact_iso_comp CategoryTheory.exact_iso_comp theorem exact_comp_mono (hfg : Exact f g) [Mono h] : Exact f (g ≫ h) := by refine ⟨by simp [hfg.w_assoc], ?_⟩ rw [imageToKernel_comp_right f g h hfg.w] haveI := hfg.epi infer_instance #align category_theory.exact_comp_mono CategoryTheory.exact_comp_mono theorem exact_comp_mono_iff [Mono h] : Exact f (g ≫ h) ↔ Exact f g := by refine ⟨fun hfg => ⟨zero_of_comp_mono h (by rw [Category.assoc, hfg.1]), ?_⟩, fun h => exact_comp_mono h⟩ rw [← (Iso.eq_comp_inv _).1 (imageToKernel_comp_mono _ _ h hfg.1)] haveI := hfg.2; infer_instance #align category_theory.exact_comp_mono_iff CategoryTheory.exact_comp_mono_iff @[simp] theorem exact_comp_iso [IsIso h] : Exact f (g ≫ h) ↔ Exact f g := exact_comp_mono_iff #align category_theory.exact_comp_iso CategoryTheory.exact_comp_iso theorem exact_kernelSubobject_arrow : Exact (kernelSubobject f).arrow f := by refine ⟨by simp, ?_⟩ refine @IsIso.epi_of_iso _ _ _ _ _ ?_ exact ⟨⟨factorThruImageSubobject _, by aesop_cat, by aesop_cat⟩⟩ #align category_theory.exact_kernel_subobject_arrow CategoryTheory.exact_kernelSubobject_arrow theorem exact_kernel_ι : Exact (kernel.ι f) f := by rw [← kernelSubobject_arrow', exact_iso_comp] exact exact_kernelSubobject_arrow #align category_theory.exact_kernel_ι CategoryTheory.exact_kernel_ι instance Exact.epi_factorThruKernelSubobject (h : Exact f g) : Epi (factorThruKernelSubobject g f h.w) := by rw [← factorThruImageSubobject_comp_imageToKernel] haveI := h.epi apply epi_comp -- Porting note: this can no longer be an instance in Lean4 lemma Exact.epi_kernel_lift (h : Exact f g) : Epi (kernel.lift g f h.w) := by rw [← factorThruKernelSubobject_comp_kernelSubobjectIso] haveI := h.epi_factorThruKernelSubobject apply epi_comp variable (A) theorem kernelSubobject_arrow_eq_zero_of_exact_zero_left (h : Exact (0 : A ⟶ B) g) : (kernelSubobject g).arrow = 0 := by haveI := h.epi rw [← cancel_epi (imageToKernel (0 : A ⟶ B) g h.w), ← cancel_epi (factorThruImageSubobject (0 : A ⟶ B))] simp #align category_theory.kernel_subobject_arrow_eq_zero_of_exact_zero_left CategoryTheory.kernelSubobject_arrow_eq_zero_of_exact_zero_left theorem kernel_ι_eq_zero_of_exact_zero_left (h : Exact (0 : A ⟶ B) g) : kernel.ι g = 0 := by rw [← kernelSubobject_arrow'] simp [kernelSubobject_arrow_eq_zero_of_exact_zero_left A h] #align category_theory.kernel_ι_eq_zero_of_exact_zero_left CategoryTheory.kernel_ι_eq_zero_of_exact_zero_left theorem exact_zero_left_of_mono [HasZeroObject V] [Mono g] : Exact (0 : A ⟶ B) g := ⟨by simp, imageToKernel_epi_of_zero_of_mono _⟩ #align category_theory.exact_zero_left_of_mono CategoryTheory.exact_zero_left_of_mono end section variable [HasZeroObject V] open ZeroObject section variable [HasZeroMorphisms V] [HasKernels V]
Mathlib/Algebra/Homology/Exact.lean
306
311
theorem exact_of_zero {A C : V} (f : A ⟶ 0) (g : 0 ⟶ C) : Exact f g := by
obtain rfl : f = 0 := by ext obtain rfl : g = 0 := by ext fconstructor · simp · exact imageToKernel_epi_of_zero_of_mono 0
import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.RingTheory.Localization.FractionRing #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section CommRing variable [CommRing R] [IsDomain R] {p q : R[X]} section Roots open Multiset Finset noncomputable def roots (p : R[X]) : Multiset R := haveI := Classical.decEq R haveI := Classical.dec (p = 0) if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) #align polynomial.roots Polynomial.roots theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] : p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by -- porting noteL `‹_›` doesn't work for instance arguments rename_i iR ip0 obtain rfl := Subsingleton.elim iR (Classical.decEq R) obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0)) rfl #align polynomial.roots_def Polynomial.roots_def @[simp] theorem roots_zero : (0 : R[X]).roots = 0 := dif_pos rfl #align polynomial.roots_zero Polynomial.roots_zero theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by classical unfold roots rw [dif_neg hp0] exact (Classical.choose_spec (exists_multiset_roots hp0)).1 #align polynomial.card_roots Polynomial.card_roots theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by by_cases hp0 : p = 0 · simp [hp0] exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0)) #align polynomial.card_roots' Polynomial.card_roots' theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) : (Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p := calc (Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) := card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le _ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0 set_option linter.uppercaseLean3 false in #align polynomial.card_roots_sub_C Polynomial.card_roots_sub_C theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) : Multiset.card (p - C a).roots ≤ natDegree p := WithBot.coe_le_coe.1 (le_trans (card_roots_sub_C hp0) (le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl])) set_option linter.uppercaseLean3 false in #align polynomial.card_roots_sub_C' Polynomial.card_roots_sub_C' @[simp] theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by classical by_cases hp : p = 0 · simp [hp] rw [roots_def, dif_neg hp] exact (Classical.choose_spec (exists_multiset_roots hp)).2 a #align polynomial.count_roots Polynomial.count_roots @[simp] theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by classical rw [← count_pos, count_roots p, rootMultiplicity_pos'] #align polynomial.mem_roots' Polynomial.mem_roots' theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a := mem_roots'.trans <| and_iff_right hp #align polynomial.mem_roots Polynomial.mem_roots theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 := (mem_roots'.1 h).1 #align polynomial.ne_zero_of_mem_roots Polynomial.ne_zero_of_mem_roots theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a := (mem_roots'.1 h).2 #align polynomial.is_root_of_mem_roots Polynomial.isRoot_of_mem_roots -- Porting note: added during port. lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by rw [mem_roots w, IsRoot.def, aeval_def, eval₂_eq_eval_map] simp theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) : Z.card ≤ p.natDegree := (Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p) #align polynomial.card_le_degree_of_subset_roots Polynomial.card_le_degree_of_subset_roots theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by classical simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp] using p.roots.toFinset.finite_toSet #align polynomial.finite_set_of_is_root Polynomial.finite_setOf_isRoot theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 := not_imp_comm.mp finite_setOf_isRoot h #align polynomial.eq_zero_of_infinite_is_root Polynomial.eq_zero_of_infinite_isRoot theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ := Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp #align polynomial.exists_max_root Polynomial.exists_max_root theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x := Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp #align polynomial.exists_min_root Polynomial.exists_min_root theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) : p = q := by rw [← sub_eq_zero] apply eq_zero_of_infinite_isRoot simpa only [IsRoot, eval_sub, sub_eq_zero] #align polynomial.eq_of_infinite_eval_eq Polynomial.eq_of_infinite_eval_eq theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by classical exact Multiset.ext.mpr fun r => by rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq] #align polynomial.roots_mul Polynomial.roots_mul theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by rintro ⟨k, rfl⟩ exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩ #align polynomial.roots.le_of_dvd Polynomial.roots.le_of_dvd theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C] set_option linter.uppercaseLean3 false in #align polynomial.mem_roots_sub_C' Polynomial.mem_roots_sub_C' theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) : x ∈ (p - C a).roots ↔ p.eval x = a := mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le set_option linter.uppercaseLean3 false in #align polynomial.mem_roots_sub_C Polynomial.mem_roots_sub_C @[simp] theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by classical ext s rw [count_roots, rootMultiplicity_X_sub_C, count_singleton] set_option linter.uppercaseLean3 false in #align polynomial.roots_X_sub_C Polynomial.roots_X_sub_C @[simp] theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero] set_option linter.uppercaseLean3 false in #align polynomial.roots_X Polynomial.roots_X @[simp] theorem roots_C (x : R) : (C x).roots = 0 := by classical exact if H : x = 0 then by rw [H, C_0, roots_zero] else Multiset.ext.mpr fun r => (by rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)]) set_option linter.uppercaseLean3 false in #align polynomial.roots_C Polynomial.roots_C @[simp] theorem roots_one : (1 : R[X]).roots = ∅ := roots_C 1 #align polynomial.roots_one Polynomial.roots_one @[simp] theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by by_cases hp : p = 0 <;> simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C, zero_add, mul_zero] set_option linter.uppercaseLean3 false in #align polynomial.roots_C_mul Polynomial.roots_C_mul @[simp] theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by rw [smul_eq_C_mul, roots_C_mul _ ha] #align polynomial.roots_smul_nonzero Polynomial.roots_smul_nonzero @[simp] lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)] theorem roots_list_prod (L : List R[X]) : (0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots := List.recOn L (fun _ => roots_one) fun hd tl ih H => by rw [List.mem_cons, not_or] at H rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ← Multiset.cons_coe, Multiset.cons_bind, ih H.2] #align polynomial.roots_list_prod Polynomial.roots_list_prod theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by rcases m with ⟨L⟩ simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L #align polynomial.roots_multiset_prod Polynomial.roots_multiset_prod theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) : s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by rcases s with ⟨m, hm⟩ simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f) #align polynomial.roots_prod Polynomial.roots_prod @[simp] theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by induction' n with n ihn · rw [pow_zero, roots_one, zero_smul, empty_eq_zero] · rcases eq_or_ne p 0 with (rfl | hp) · rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero] · rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul] #align polynomial.roots_pow Polynomial.roots_pow theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by rw [roots_pow, roots_X] set_option linter.uppercaseLean3 false in #align polynomial.roots_X_pow Polynomial.roots_X_pow theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) : Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by rw [roots_C_mul _ ha, roots_X_pow] set_option linter.uppercaseLean3 false in #align polynomial.roots_C_mul_X_pow Polynomial.roots_C_mul_X_pow @[simp] theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha] #align polynomial.roots_monomial Polynomial.roots_monomial theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by apply (roots_prod (fun a => X - C a) s ?_).trans · simp_rw [roots_X_sub_C] rw [Multiset.bind_singleton, Multiset.map_id'] · refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a) set_option linter.uppercaseLean3 false in #align polynomial.roots_prod_X_sub_C Polynomial.roots_prod_X_sub_C @[simp] theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by rw [roots_multiset_prod, Multiset.bind_map] · simp_rw [roots_X_sub_C] rw [Multiset.bind_singleton, Multiset.map_id'] · rw [Multiset.mem_map] rintro ⟨a, -, h⟩ exact X_sub_C_ne_zero a h set_option linter.uppercaseLean3 false in #align polynomial.roots_multiset_prod_X_sub_C Polynomial.roots_multiset_prod_X_sub_C theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) : Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n := WithBot.coe_le_coe.1 <| calc (Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) := card_roots (X_pow_sub_C_ne_zero hn a) _ = n := degree_X_pow_sub_C hn a set_option linter.uppercaseLean3 false in #align polynomial.card_roots_X_pow_sub_C Polynomial.card_roots_X_pow_sub_C theorem zero_of_eval_zero [Infinite R] (p : R[X]) (h : ∀ x, p.eval x = 0) : p = 0 := by classical by_contra hp refine @Fintype.false R _ ?_ exact ⟨p.roots.toFinset, fun x => Multiset.mem_toFinset.mpr ((mem_roots hp).mpr (h _))⟩ #align polynomial.zero_of_eval_zero Polynomial.zero_of_eval_zero theorem funext [Infinite R] {p q : R[X]} (ext : ∀ r : R, p.eval r = q.eval r) : p = q := by rw [← sub_eq_zero] apply zero_of_eval_zero intro x rw [eval_sub, sub_eq_zero, ext] #align polynomial.funext Polynomial.funext variable [CommRing T] noncomputable abbrev aroots (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Multiset S := (p.map (algebraMap T S)).roots theorem aroots_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : p.aroots S = (p.map (algebraMap T S)).roots := rfl theorem mem_aroots' [CommRing S] [IsDomain S] [Algebra T S] {p : T[X]} {a : S} : a ∈ p.aroots S ↔ p.map (algebraMap T S) ≠ 0 ∧ aeval a p = 0 := by rw [mem_roots', IsRoot.def, ← eval₂_eq_eval_map, aeval_def] theorem mem_aroots [CommRing S] [IsDomain S] [Algebra T S] [NoZeroSMulDivisors T S] {p : T[X]} {a : S} : a ∈ p.aroots S ↔ p ≠ 0 ∧ aeval a p = 0 := by rw [mem_aroots', Polynomial.map_ne_zero_iff] exact NoZeroSMulDivisors.algebraMap_injective T S theorem aroots_mul [CommRing S] [IsDomain S] [Algebra T S] [NoZeroSMulDivisors T S] {p q : T[X]} (hpq : p * q ≠ 0) : (p * q).aroots S = p.aroots S + q.aroots S := by suffices map (algebraMap T S) p * map (algebraMap T S) q ≠ 0 by rw [aroots_def, Polynomial.map_mul, roots_mul this] rwa [← Polynomial.map_mul, Polynomial.map_ne_zero_iff (NoZeroSMulDivisors.algebraMap_injective T S)] @[simp] theorem aroots_X_sub_C [CommRing S] [IsDomain S] [Algebra T S] (r : T) : aroots (X - C r) S = {algebraMap T S r} := by rw [aroots_def, Polynomial.map_sub, map_X, map_C, roots_X_sub_C] @[simp] theorem aroots_X [CommRing S] [IsDomain S] [Algebra T S] : aroots (X : T[X]) S = {0} := by rw [aroots_def, map_X, roots_X] @[simp] theorem aroots_C [CommRing S] [IsDomain S] [Algebra T S] (a : T) : (C a).aroots S = 0 := by rw [aroots_def, map_C, roots_C] @[simp] theorem aroots_zero (S) [CommRing S] [IsDomain S] [Algebra T S] : (0 : T[X]).aroots S = 0 := by rw [← C_0, aroots_C] @[simp] theorem aroots_one [CommRing S] [IsDomain S] [Algebra T S] : (1 : T[X]).aroots S = 0 := aroots_C 1 @[simp] theorem aroots_neg [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) : (-p).aroots S = p.aroots S := by rw [aroots, Polynomial.map_neg, roots_neg] @[simp] theorem aroots_C_mul [CommRing S] [IsDomain S] [Algebra T S] [NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) : (C a * p).aroots S = p.aroots S := by rw [aroots_def, Polynomial.map_mul, map_C, roots_C_mul] rwa [map_ne_zero_iff] exact NoZeroSMulDivisors.algebraMap_injective T S @[simp] theorem aroots_smul_nonzero [CommRing S] [IsDomain S] [Algebra T S] [NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) : (a • p).aroots S = p.aroots S := by rw [smul_eq_C_mul, aroots_C_mul _ ha] @[simp] theorem aroots_pow [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) (n : ℕ) : (p ^ n).aroots S = n • p.aroots S := by rw [aroots_def, Polynomial.map_pow, roots_pow] theorem aroots_X_pow [CommRing S] [IsDomain S] [Algebra T S] (n : ℕ) : (X ^ n : T[X]).aroots S = n • ({0} : Multiset S) := by rw [aroots_pow, aroots_X] theorem aroots_C_mul_X_pow [CommRing S] [IsDomain S] [Algebra T S] [NoZeroSMulDivisors T S] {a : T} (ha : a ≠ 0) (n : ℕ) : (C a * X ^ n : T[X]).aroots S = n • ({0} : Multiset S) := by rw [aroots_C_mul _ ha, aroots_X_pow] @[simp] theorem aroots_monomial [CommRing S] [IsDomain S] [Algebra T S] [NoZeroSMulDivisors T S] {a : T} (ha : a ≠ 0) (n : ℕ) : (monomial n a).aroots S = n • ({0} : Multiset S) := by rw [← C_mul_X_pow_eq_monomial, aroots_C_mul_X_pow ha] def rootSet (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Set S := haveI := Classical.decEq S (p.aroots S).toFinset #align polynomial.root_set Polynomial.rootSet theorem rootSet_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] [DecidableEq S] : p.rootSet S = (p.aroots S).toFinset := by rw [rootSet] convert rfl #align polynomial.root_set_def Polynomial.rootSet_def @[simp] theorem rootSet_C [CommRing S] [IsDomain S] [Algebra T S] (a : T) : (C a).rootSet S = ∅ := by classical rw [rootSet_def, aroots_C, Multiset.toFinset_zero, Finset.coe_empty] set_option linter.uppercaseLean3 false in #align polynomial.root_set_C Polynomial.rootSet_C @[simp] theorem rootSet_zero (S) [CommRing S] [IsDomain S] [Algebra T S] : (0 : T[X]).rootSet S = ∅ := by rw [← C_0, rootSet_C] #align polynomial.root_set_zero Polynomial.rootSet_zero @[simp]
Mathlib/Algebra/Polynomial/Roots.lean
527
528
theorem rootSet_one (S) [CommRing S] [IsDomain S] [Algebra T S] : (1 : T[X]).rootSet S = ∅ := by
rw [← C_1, rootSet_C]
import Mathlib.MeasureTheory.Measure.NullMeasurable import Mathlib.MeasureTheory.MeasurableSpace.Basic import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set open Filter hiding map open Function MeasurableSpace open scoped Classical symmDiff open Topology Filter ENNReal NNReal Interval MeasureTheory variable {α β γ δ ι R R' : Type*} namespace MeasureTheory section variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α} instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) := ⟨fun _s hs => let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs ⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩ #align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} : (∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by simp only [uIoc_eq_union, mem_union, or_imp, eventually_and] #align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ := measure_union₀ h.nullMeasurableSet hd.aedisjoint #align measure_theory.measure_union MeasureTheory.measure_union theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ := measure_union₀' h.nullMeasurableSet hd.aedisjoint #align measure_theory.measure_union' MeasureTheory.measure_union' theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s := measure_inter_add_diff₀ _ ht.nullMeasurableSet #align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s := (add_comm _ _).trans (measure_inter_add_diff s ht) #align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ← measure_inter_add_diff s ht] ac_rfl #align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) : μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm] #align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter' lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) : μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs) lemma measure_symmDiff_le (s t u : Set α) : μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) := le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u)) theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ := measure_add_measure_compl₀ h.nullMeasurableSet #align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by haveI := hs.toEncodable rw [biUnion_eq_iUnion] exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2 #align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀ theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f) (h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet #align measure_theory.measure_bUnion MeasureTheory.measure_biUnion theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ)) (h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h] #align measure_theory.measure_sUnion₀ MeasureTheory.measure_sUnion₀ theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint) (h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by rw [sUnion_eq_biUnion, measure_biUnion hs hd h] #align measure_theory.measure_sUnion MeasureTheory.measure_sUnion theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α} (hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype] exact measure_biUnion₀ s.countable_toSet hd hm #align measure_theory.measure_bUnion_finset₀ MeasureTheory.measure_biUnion_finset₀ theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f) (hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet #align measure_theory.measure_bUnion_finset MeasureTheory.measure_biUnion_finset theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} [MeasurableSpace α] (μ : Measure α) {As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ) (As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff] intro s simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i] gcongr exact iUnion_subset fun _ ↦ Subset.rfl theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} [MeasurableSpace α] (μ : Measure α) {As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i)) (As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet) (fun _ _ h ↦ Disjoint.aedisjoint (As_disj h)) #align measure_theory.tsum_meas_le_meas_Union_of_disjoint MeasureTheory.tsum_meas_le_meas_iUnion_of_disjoint theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β} (hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf] #align measure_theory.tsum_measure_preimage_singleton MeasureTheory.tsum_measure_preimage_singleton lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) : μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs] theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β} (hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf, Finset.set_biUnion_preimage_singleton] #align measure_theory.sum_measure_preimage_singleton MeasureTheory.sum_measure_preimage_singleton theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ := measure_congr <| diff_ae_eq_self.2 h #align measure_theory.measure_diff_null' MeasureTheory.measure_diff_null' theorem measure_add_diff (hs : MeasurableSet s) (t : Set α) : μ s + μ (t \ s) = μ (s ∪ t) := by rw [← measure_union' disjoint_sdiff_right hs, union_diff_self] #align measure_theory.measure_add_diff MeasureTheory.measure_add_diff theorem measure_diff' (s : Set α) (hm : MeasurableSet t) (h_fin : μ t ≠ ∞) : μ (s \ t) = μ (s ∪ t) - μ t := Eq.symm <| ENNReal.sub_eq_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm] #align measure_theory.measure_diff' MeasureTheory.measure_diff' theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : MeasurableSet s₂) (h_fin : μ s₂ ≠ ∞) : μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h] #align measure_theory.measure_diff MeasureTheory.measure_diff theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) := tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by gcongr; apply inter_subset_right #align measure_theory.le_measure_diff MeasureTheory.le_measure_diff theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞ from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩ intro u v hμuv hμu by_contra! hμv apply hμuv rw [Set.symmDiff_def, eq_top_iff] calc ∞ = μ u - μ v := (WithTop.sub_eq_top_iff.2 ⟨hμu, hμv⟩).symm _ ≤ μ (u \ v) := le_measure_diff _ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ := (measure_eq_top_iff_of_symmDiff hμst).ne
Mathlib/MeasureTheory/Measure/MeasureSpace.lean
267
270
theorem measure_diff_lt_of_lt_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} (h : μ t < μ s + ε) : μ (t \ s) < ε := by
rw [measure_diff hst hs hs']; rw [add_comm] at h exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h
import Mathlib.Tactic.Ring #align_import algebra.group_power.identities from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23" variable {R : Type*} [CommRing R] {a b x₁ x₂ x₃ x₄ x₅ x₆ x₇ x₈ y₁ y₂ y₃ y₄ y₅ y₆ y₇ y₈ n : R}
Mathlib/Algebra/Ring/Identities.lean
24
26
theorem sq_add_sq_mul_sq_add_sq : (x₁ ^ 2 + x₂ ^ 2) * (y₁ ^ 2 + y₂ ^ 2) = (x₁ * y₁ - x₂ * y₂) ^ 2 + (x₁ * y₂ + x₂ * y₁) ^ 2 := by
ring
import Mathlib.Analysis.InnerProductSpace.GramSchmidtOrtho import Mathlib.LinearAlgebra.Orientation #align_import analysis.inner_product_space.orientation from "leanprover-community/mathlib"@"bd65478311e4dfd41f48bf38c7e3b02fb75d0163" noncomputable section variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] open FiniteDimensional open scoped RealInnerProductSpace namespace OrthonormalBasis variable {ι : Type*} [Fintype ι] [DecidableEq ι] [ne : Nonempty ι] (e f : OrthonormalBasis ι ℝ E) (x : Orientation ℝ E ι) theorem det_to_matrix_orthonormalBasis_of_same_orientation (h : e.toBasis.orientation = f.toBasis.orientation) : e.toBasis.det f = 1 := by apply (e.det_to_matrix_orthonormalBasis_real f).resolve_right have : 0 < e.toBasis.det f := by rw [e.toBasis.orientation_eq_iff_det_pos] at h simpa using h linarith #align orthonormal_basis.det_to_matrix_orthonormal_basis_of_same_orientation OrthonormalBasis.det_to_matrix_orthonormalBasis_of_same_orientation theorem det_to_matrix_orthonormalBasis_of_opposite_orientation (h : e.toBasis.orientation ≠ f.toBasis.orientation) : e.toBasis.det f = -1 := by contrapose! h simp [e.toBasis.orientation_eq_iff_det_pos, (e.det_to_matrix_orthonormalBasis_real f).resolve_right h] #align orthonormal_basis.det_to_matrix_orthonormal_basis_of_opposite_orientation OrthonormalBasis.det_to_matrix_orthonormalBasis_of_opposite_orientation variable {e f} theorem same_orientation_iff_det_eq_det : e.toBasis.det = f.toBasis.det ↔ e.toBasis.orientation = f.toBasis.orientation := by constructor · intro h dsimp [Basis.orientation] congr · intro h rw [e.toBasis.det.eq_smul_basis_det f.toBasis] simp [e.det_to_matrix_orthonormalBasis_of_same_orientation f h] #align orthonormal_basis.same_orientation_iff_det_eq_det OrthonormalBasis.same_orientation_iff_det_eq_det variable (e f) theorem det_eq_neg_det_of_opposite_orientation (h : e.toBasis.orientation ≠ f.toBasis.orientation) : e.toBasis.det = -f.toBasis.det := by rw [e.toBasis.det.eq_smul_basis_det f.toBasis] -- Porting note: added `neg_one_smul` with explicit type simp [e.det_to_matrix_orthonormalBasis_of_opposite_orientation f h, neg_one_smul ℝ (M := E [⋀^ι]→ₗ[ℝ] ℝ)] #align orthonormal_basis.det_eq_neg_det_of_opposite_orientation OrthonormalBasis.det_eq_neg_det_of_opposite_orientation section AdjustToOrientation theorem orthonormal_adjustToOrientation : Orthonormal ℝ (e.toBasis.adjustToOrientation x) := by apply e.orthonormal.orthonormal_of_forall_eq_or_eq_neg simpa using e.toBasis.adjustToOrientation_apply_eq_or_eq_neg x #align orthonormal_basis.orthonormal_adjust_to_orientation OrthonormalBasis.orthonormal_adjustToOrientation def adjustToOrientation : OrthonormalBasis ι ℝ E := (e.toBasis.adjustToOrientation x).toOrthonormalBasis (e.orthonormal_adjustToOrientation x) #align orthonormal_basis.adjust_to_orientation OrthonormalBasis.adjustToOrientation theorem toBasis_adjustToOrientation : (e.adjustToOrientation x).toBasis = e.toBasis.adjustToOrientation x := (e.toBasis.adjustToOrientation x).toBasis_toOrthonormalBasis _ #align orthonormal_basis.to_basis_adjust_to_orientation OrthonormalBasis.toBasis_adjustToOrientation @[simp] theorem orientation_adjustToOrientation : (e.adjustToOrientation x).toBasis.orientation = x := by rw [e.toBasis_adjustToOrientation] exact e.toBasis.orientation_adjustToOrientation x #align orthonormal_basis.orientation_adjust_to_orientation OrthonormalBasis.orientation_adjustToOrientation theorem adjustToOrientation_apply_eq_or_eq_neg (i : ι) : e.adjustToOrientation x i = e i ∨ e.adjustToOrientation x i = -e i := by simpa [← e.toBasis_adjustToOrientation] using e.toBasis.adjustToOrientation_apply_eq_or_eq_neg x i #align orthonormal_basis.adjust_to_orientation_apply_eq_or_eq_neg OrthonormalBasis.adjustToOrientation_apply_eq_or_eq_neg theorem det_adjustToOrientation : (e.adjustToOrientation x).toBasis.det = e.toBasis.det ∨ (e.adjustToOrientation x).toBasis.det = -e.toBasis.det := by simpa using e.toBasis.det_adjustToOrientation x #align orthonormal_basis.det_adjust_to_orientation OrthonormalBasis.det_adjustToOrientation
Mathlib/Analysis/InnerProductSpace/Orientation.lean
141
143
theorem abs_det_adjustToOrientation (v : ι → E) : |(e.adjustToOrientation x).toBasis.det v| = |e.toBasis.det v| := by
simp [toBasis_adjustToOrientation]
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.CategoryTheory.Groupoid.VertexGroup import Mathlib.CategoryTheory.Groupoid.Basic import Mathlib.CategoryTheory.Groupoid import Mathlib.Data.Set.Lattice import Mathlib.Order.GaloisConnection #align_import category_theory.groupoid.subgroupoid from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory open Set Groupoid universe u v variable {C : Type u} [Groupoid C] @[ext] structure Subgroupoid (C : Type u) [Groupoid C] where arrows : ∀ c d : C, Set (c ⟶ d) protected inv : ∀ {c d} {p : c ⟶ d}, p ∈ arrows c d → Groupoid.inv p ∈ arrows d c protected mul : ∀ {c d e} {p}, p ∈ arrows c d → ∀ {q}, q ∈ arrows d e → p ≫ q ∈ arrows c e #align category_theory.subgroupoid CategoryTheory.Subgroupoid namespace Subgroupoid variable (S : Subgroupoid C) theorem inv_mem_iff {c d : C} (f : c ⟶ d) : Groupoid.inv f ∈ S.arrows d c ↔ f ∈ S.arrows c d := by constructor · intro h simpa only [inv_eq_inv, IsIso.inv_inv] using S.inv h · apply S.inv #align category_theory.subgroupoid.inv_mem_iff CategoryTheory.Subgroupoid.inv_mem_iff theorem mul_mem_cancel_left {c d e : C} {f : c ⟶ d} {g : d ⟶ e} (hf : f ∈ S.arrows c d) : f ≫ g ∈ S.arrows c e ↔ g ∈ S.arrows d e := by constructor · rintro h suffices Groupoid.inv f ≫ f ≫ g ∈ S.arrows d e by simpa only [inv_eq_inv, IsIso.inv_hom_id_assoc] using this apply S.mul (S.inv hf) h · apply S.mul hf #align category_theory.subgroupoid.mul_mem_cancel_left CategoryTheory.Subgroupoid.mul_mem_cancel_left
Mathlib/CategoryTheory/Groupoid/Subgroupoid.lean
100
107
theorem mul_mem_cancel_right {c d e : C} {f : c ⟶ d} {g : d ⟶ e} (hg : g ∈ S.arrows d e) : f ≫ g ∈ S.arrows c e ↔ f ∈ S.arrows c d := by
constructor · rintro h suffices (f ≫ g) ≫ Groupoid.inv g ∈ S.arrows c d by simpa only [inv_eq_inv, IsIso.hom_inv_id, Category.comp_id, Category.assoc] using this apply S.mul h (S.inv hg) · exact fun hf => S.mul hf hg
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Arctan import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine #align_import geometry.euclidean.angle.unoriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) : ‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by rw [norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero] exact inner_eq_zero_iff_angle_eq_pi_div_two x y #align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two theorem norm_add_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) : ‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ := (norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h #align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq' theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by rw [norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero] exact inner_eq_zero_iff_angle_eq_pi_div_two x y #align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two theorem norm_sub_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ := (norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h #align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq' theorem angle_add_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : angle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by rw [angle, inner_add_right, h, add_zero, real_inner_self_eq_norm_mul_norm] by_cases hx : ‖x‖ = 0; · simp [hx] rw [div_mul_eq_div_div, mul_self_div_self] #align inner_product_geometry.angle_add_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero theorem angle_add_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) : angle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by have hxy : ‖x + y‖ ^ 2 ≠ 0 := by rw [pow_two, norm_add_sq_eq_norm_sq_add_norm_sq_real h, ne_comm] refine ne_of_lt ?_ rcases h0 with (h0 | h0) · exact Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _) · exact Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_eq_arcsin (div_nonneg (norm_nonneg _) (norm_nonneg _)), div_pow, one_sub_div hxy] nth_rw 1 [pow_two] rw [norm_add_sq_eq_norm_sq_add_norm_sq_real h, pow_two, add_sub_cancel_left, ← pow_two, ← div_pow, Real.sqrt_sq (div_nonneg (norm_nonneg _) (norm_nonneg _))] #align inner_product_geometry.angle_add_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero theorem angle_add_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) : angle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by rw [angle_add_eq_arcsin_of_inner_eq_zero h (Or.inl h0), Real.arctan_eq_arcsin, ← div_mul_eq_div_div, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h] nth_rw 3 [← Real.sqrt_sq (norm_nonneg x)] rw_mod_cast [← Real.sqrt_mul (sq_nonneg _), div_pow, pow_two, pow_two, mul_add, mul_one, mul_div, mul_comm (‖x‖ * ‖x‖), ← mul_div, div_self (mul_self_pos.2 (norm_ne_zero_iff.2 h0)).ne', mul_one] #align inner_product_geometry.angle_add_eq_arctan_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero theorem angle_add_pos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) : 0 < angle x (x + y) := by rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_pos, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h] by_cases hx : x = 0; · simp [hx] rw [div_lt_one (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 hx)) (mul_self_nonneg _))), Real.lt_sqrt (norm_nonneg _), pow_two] simpa [hx] using h0 #align inner_product_geometry.angle_add_pos_of_inner_eq_zero InnerProductGeometry.angle_add_pos_of_inner_eq_zero theorem angle_add_le_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : angle x (x + y) ≤ π / 2 := by rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_le_pi_div_two] exact div_nonneg (norm_nonneg _) (norm_nonneg _) #align inner_product_geometry.angle_add_le_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_le_pi_div_two_of_inner_eq_zero theorem angle_add_lt_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) : angle x (x + y) < π / 2 := by rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_lt_pi_div_two, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h] exact div_pos (norm_pos_iff.2 h0) (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _))) #align inner_product_geometry.angle_add_lt_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_lt_pi_div_two_of_inner_eq_zero theorem cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.cos (angle x (x + y)) = ‖x‖ / ‖x + y‖ := by rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.cos_arccos (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _))) (div_le_one_of_le _ (norm_nonneg _))] rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _), norm_add_sq_eq_norm_sq_add_norm_sq_real h] exact le_add_of_nonneg_right (mul_self_nonneg _) #align inner_product_geometry.cos_angle_add_of_inner_eq_zero InnerProductGeometry.cos_angle_add_of_inner_eq_zero theorem sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) : Real.sin (angle x (x + y)) = ‖y‖ / ‖x + y‖ := by rw [angle_add_eq_arcsin_of_inner_eq_zero h h0, Real.sin_arcsin (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _))) (div_le_one_of_le _ (norm_nonneg _))] rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _), norm_add_sq_eq_norm_sq_add_norm_sq_real h] exact le_add_of_nonneg_left (mul_self_nonneg _) #align inner_product_geometry.sin_angle_add_of_inner_eq_zero InnerProductGeometry.sin_angle_add_of_inner_eq_zero theorem tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.tan (angle x (x + y)) = ‖y‖ / ‖x‖ := by by_cases h0 : x = 0; · simp [h0] rw [angle_add_eq_arctan_of_inner_eq_zero h h0, Real.tan_arctan] #align inner_product_geometry.tan_angle_add_of_inner_eq_zero InnerProductGeometry.tan_angle_add_of_inner_eq_zero theorem cos_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.cos (angle x (x + y)) * ‖x + y‖ = ‖x‖ := by rw [cos_angle_add_of_inner_eq_zero h] by_cases hxy : ‖x + y‖ = 0 · have h' := norm_add_sq_eq_norm_sq_add_norm_sq_real h rw [hxy, zero_mul, eq_comm, add_eq_zero_iff' (mul_self_nonneg ‖x‖) (mul_self_nonneg ‖y‖), mul_self_eq_zero] at h' simp [h'.1] · exact div_mul_cancel₀ _ hxy #align inner_product_geometry.cos_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero theorem sin_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.sin (angle x (x + y)) * ‖x + y‖ = ‖y‖ := by by_cases h0 : x = 0 ∧ y = 0; · simp [h0] rw [not_and_or] at h0 rw [sin_angle_add_of_inner_eq_zero h h0, div_mul_cancel₀] rw [← mul_self_ne_zero, norm_add_sq_eq_norm_sq_add_norm_sq_real h] refine (ne_of_lt ?_).symm rcases h0 with (h0 | h0) · exact Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _) · exact Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) #align inner_product_geometry.sin_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero theorem tan_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) : Real.tan (angle x (x + y)) * ‖x‖ = ‖y‖ := by rw [tan_angle_add_of_inner_eq_zero h] rcases h0 with (h0 | h0) <;> simp [h0] #align inner_product_geometry.tan_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero theorem norm_div_cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) : ‖x‖ / Real.cos (angle x (x + y)) = ‖x + y‖ := by rw [cos_angle_add_of_inner_eq_zero h] rcases h0 with (h0 | h0) · rw [div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)] · simp [h0] #align inner_product_geometry.norm_div_cos_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_cos_angle_add_of_inner_eq_zero theorem norm_div_sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) : ‖y‖ / Real.sin (angle x (x + y)) = ‖x + y‖ := by rcases h0 with (h0 | h0); · simp [h0] rw [sin_angle_add_of_inner_eq_zero h (Or.inr h0), div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)] #align inner_product_geometry.norm_div_sin_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_sin_angle_add_of_inner_eq_zero theorem norm_div_tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) : ‖y‖ / Real.tan (angle x (x + y)) = ‖x‖ := by rw [tan_angle_add_of_inner_eq_zero h] rcases h0 with (h0 | h0) · simp [h0] · rw [div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)] #align inner_product_geometry.norm_div_tan_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_tan_angle_add_of_inner_eq_zero theorem angle_sub_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : angle x (x - y) = Real.arccos (‖x‖ / ‖x - y‖) := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg, angle_add_eq_arccos_of_inner_eq_zero h] #align inner_product_geometry.angle_sub_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_sub_eq_arccos_of_inner_eq_zero theorem angle_sub_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) : angle x (x - y) = Real.arcsin (‖y‖ / ‖x - y‖) := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [or_comm, ← neg_ne_zero, or_comm] at h0 rw [sub_eq_add_neg, angle_add_eq_arcsin_of_inner_eq_zero h h0, norm_neg] #align inner_product_geometry.angle_sub_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_sub_eq_arcsin_of_inner_eq_zero theorem angle_sub_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) : angle x (x - y) = Real.arctan (‖y‖ / ‖x‖) := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg, angle_add_eq_arctan_of_inner_eq_zero h h0, norm_neg] #align inner_product_geometry.angle_sub_eq_arctan_of_inner_eq_zero InnerProductGeometry.angle_sub_eq_arctan_of_inner_eq_zero theorem angle_sub_pos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) : 0 < angle x (x - y) := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [← neg_ne_zero] at h0 rw [sub_eq_add_neg] exact angle_add_pos_of_inner_eq_zero h h0 #align inner_product_geometry.angle_sub_pos_of_inner_eq_zero InnerProductGeometry.angle_sub_pos_of_inner_eq_zero theorem angle_sub_le_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : angle x (x - y) ≤ π / 2 := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg] exact angle_add_le_pi_div_two_of_inner_eq_zero h #align inner_product_geometry.angle_sub_le_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_sub_le_pi_div_two_of_inner_eq_zero theorem angle_sub_lt_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) : angle x (x - y) < π / 2 := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg] exact angle_add_lt_pi_div_two_of_inner_eq_zero h h0 #align inner_product_geometry.angle_sub_lt_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_sub_lt_pi_div_two_of_inner_eq_zero theorem cos_angle_sub_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.cos (angle x (x - y)) = ‖x‖ / ‖x - y‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg, cos_angle_add_of_inner_eq_zero h] #align inner_product_geometry.cos_angle_sub_of_inner_eq_zero InnerProductGeometry.cos_angle_sub_of_inner_eq_zero theorem sin_angle_sub_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) : Real.sin (angle x (x - y)) = ‖y‖ / ‖x - y‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [or_comm, ← neg_ne_zero, or_comm] at h0 rw [sub_eq_add_neg, sin_angle_add_of_inner_eq_zero h h0, norm_neg] #align inner_product_geometry.sin_angle_sub_of_inner_eq_zero InnerProductGeometry.sin_angle_sub_of_inner_eq_zero theorem tan_angle_sub_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.tan (angle x (x - y)) = ‖y‖ / ‖x‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg, tan_angle_add_of_inner_eq_zero h, norm_neg] #align inner_product_geometry.tan_angle_sub_of_inner_eq_zero InnerProductGeometry.tan_angle_sub_of_inner_eq_zero theorem cos_angle_sub_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.cos (angle x (x - y)) * ‖x - y‖ = ‖x‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg, cos_angle_add_mul_norm_of_inner_eq_zero h] #align inner_product_geometry.cos_angle_sub_mul_norm_of_inner_eq_zero InnerProductGeometry.cos_angle_sub_mul_norm_of_inner_eq_zero theorem sin_angle_sub_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : Real.sin (angle x (x - y)) * ‖x - y‖ = ‖y‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [sub_eq_add_neg, sin_angle_add_mul_norm_of_inner_eq_zero h, norm_neg] #align inner_product_geometry.sin_angle_sub_mul_norm_of_inner_eq_zero InnerProductGeometry.sin_angle_sub_mul_norm_of_inner_eq_zero theorem tan_angle_sub_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) : Real.tan (angle x (x - y)) * ‖x‖ = ‖y‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [← neg_eq_zero] at h0 rw [sub_eq_add_neg, tan_angle_add_mul_norm_of_inner_eq_zero h h0, norm_neg] #align inner_product_geometry.tan_angle_sub_mul_norm_of_inner_eq_zero InnerProductGeometry.tan_angle_sub_mul_norm_of_inner_eq_zero theorem norm_div_cos_angle_sub_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) : ‖x‖ / Real.cos (angle x (x - y)) = ‖x - y‖ := by rw [← neg_eq_zero, ← inner_neg_right] at h rw [← neg_eq_zero] at h0 rw [sub_eq_add_neg, norm_div_cos_angle_add_of_inner_eq_zero h h0] #align inner_product_geometry.norm_div_cos_angle_sub_of_inner_eq_zero InnerProductGeometry.norm_div_cos_angle_sub_of_inner_eq_zero
Mathlib/Geometry/Euclidean/Angle/Unoriented/RightAngle.lean
334
338
theorem norm_div_sin_angle_sub_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) : ‖y‖ / Real.sin (angle x (x - y)) = ‖x - y‖ := by
rw [← neg_eq_zero, ← inner_neg_right] at h rw [← neg_ne_zero] at h0 rw [sub_eq_add_neg, ← norm_neg, norm_div_sin_angle_add_of_inner_eq_zero h h0]
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Angle import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse #align_import analysis.special_functions.complex.arg from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open Filter Metric Set open scoped ComplexConjugate Real Topology namespace Complex variable {a x z : ℂ} noncomputable def arg (x : ℂ) : ℝ := if 0 ≤ x.re then Real.arcsin (x.im / abs x) else if 0 ≤ x.im then Real.arcsin ((-x).im / abs x) + π else Real.arcsin ((-x).im / abs x) - π #align complex.arg Complex.arg theorem sin_arg (x : ℂ) : Real.sin (arg x) = x.im / abs x := by unfold arg; split_ifs <;> simp [sub_eq_add_neg, arg, Real.sin_arcsin (abs_le.1 (abs_im_div_abs_le_one x)).1 (abs_le.1 (abs_im_div_abs_le_one x)).2, Real.sin_add, neg_div, Real.arcsin_neg, Real.sin_neg] #align complex.sin_arg Complex.sin_arg theorem cos_arg {x : ℂ} (hx : x ≠ 0) : Real.cos (arg x) = x.re / abs x := by rw [arg] split_ifs with h₁ h₂ · rw [Real.cos_arcsin] field_simp [Real.sqrt_sq, (abs.pos hx).le, *] · rw [Real.cos_add_pi, Real.cos_arcsin] field_simp [Real.sqrt_div (sq_nonneg _), Real.sqrt_sq_eq_abs, _root_.abs_of_neg (not_le.1 h₁), *] · rw [Real.cos_sub_pi, Real.cos_arcsin] field_simp [Real.sqrt_div (sq_nonneg _), Real.sqrt_sq_eq_abs, _root_.abs_of_neg (not_le.1 h₁), *] #align complex.cos_arg Complex.cos_arg @[simp] theorem abs_mul_exp_arg_mul_I (x : ℂ) : ↑(abs x) * exp (arg x * I) = x := by rcases eq_or_ne x 0 with (rfl | hx) · simp · have : abs x ≠ 0 := abs.ne_zero hx apply Complex.ext <;> field_simp [sin_arg, cos_arg hx, this, mul_comm (abs x)] set_option linter.uppercaseLean3 false in #align complex.abs_mul_exp_arg_mul_I Complex.abs_mul_exp_arg_mul_I @[simp] theorem abs_mul_cos_add_sin_mul_I (x : ℂ) : (abs x * (cos (arg x) + sin (arg x) * I) : ℂ) = x := by rw [← exp_mul_I, abs_mul_exp_arg_mul_I] set_option linter.uppercaseLean3 false in #align complex.abs_mul_cos_add_sin_mul_I Complex.abs_mul_cos_add_sin_mul_I @[simp] lemma abs_mul_cos_arg (x : ℂ) : abs x * Real.cos (arg x) = x.re := by simpa [-abs_mul_cos_add_sin_mul_I] using congr_arg re (abs_mul_cos_add_sin_mul_I x) @[simp] lemma abs_mul_sin_arg (x : ℂ) : abs x * Real.sin (arg x) = x.im := by simpa [-abs_mul_cos_add_sin_mul_I] using congr_arg im (abs_mul_cos_add_sin_mul_I x) theorem abs_eq_one_iff (z : ℂ) : abs z = 1 ↔ ∃ θ : ℝ, exp (θ * I) = z := by refine ⟨fun hz => ⟨arg z, ?_⟩, ?_⟩ · calc exp (arg z * I) = abs z * exp (arg z * I) := by rw [hz, ofReal_one, one_mul] _ = z := abs_mul_exp_arg_mul_I z · rintro ⟨θ, rfl⟩ exact Complex.abs_exp_ofReal_mul_I θ #align complex.abs_eq_one_iff Complex.abs_eq_one_iff @[simp] theorem range_exp_mul_I : (Set.range fun x : ℝ => exp (x * I)) = Metric.sphere 0 1 := by ext x simp only [mem_sphere_zero_iff_norm, norm_eq_abs, abs_eq_one_iff, Set.mem_range] set_option linter.uppercaseLean3 false in #align complex.range_exp_mul_I Complex.range_exp_mul_I theorem arg_mul_cos_add_sin_mul_I {r : ℝ} (hr : 0 < r) {θ : ℝ} (hθ : θ ∈ Set.Ioc (-π) π) : arg (r * (cos θ + sin θ * I)) = θ := by simp only [arg, map_mul, abs_cos_add_sin_mul_I, abs_of_nonneg hr.le, mul_one] simp only [re_ofReal_mul, im_ofReal_mul, neg_im, ← ofReal_cos, ← ofReal_sin, ← mk_eq_add_mul_I, neg_div, mul_div_cancel_left₀ _ hr.ne', mul_nonneg_iff_right_nonneg_of_pos hr] by_cases h₁ : θ ∈ Set.Icc (-(π / 2)) (π / 2) · rw [if_pos] exacts [Real.arcsin_sin' h₁, Real.cos_nonneg_of_mem_Icc h₁] · rw [Set.mem_Icc, not_and_or, not_le, not_le] at h₁ cases' h₁ with h₁ h₁ · replace hθ := hθ.1 have hcos : Real.cos θ < 0 := by rw [← neg_pos, ← Real.cos_add_pi] refine Real.cos_pos_of_mem_Ioo ⟨?_, ?_⟩ <;> linarith have hsin : Real.sin θ < 0 := Real.sin_neg_of_neg_of_neg_pi_lt (by linarith) hθ rw [if_neg, if_neg, ← Real.sin_add_pi, Real.arcsin_sin, add_sub_cancel_right] <;> [linarith; linarith; exact hsin.not_le; exact hcos.not_le] · replace hθ := hθ.2 have hcos : Real.cos θ < 0 := Real.cos_neg_of_pi_div_two_lt_of_lt h₁ (by linarith) have hsin : 0 ≤ Real.sin θ := Real.sin_nonneg_of_mem_Icc ⟨by linarith, hθ⟩ rw [if_neg, if_pos, ← Real.sin_sub_pi, Real.arcsin_sin, sub_add_cancel] <;> [linarith; linarith; exact hsin; exact hcos.not_le] set_option linter.uppercaseLean3 false in #align complex.arg_mul_cos_add_sin_mul_I Complex.arg_mul_cos_add_sin_mul_I theorem arg_cos_add_sin_mul_I {θ : ℝ} (hθ : θ ∈ Set.Ioc (-π) π) : arg (cos θ + sin θ * I) = θ := by rw [← one_mul (_ + _), ← ofReal_one, arg_mul_cos_add_sin_mul_I zero_lt_one hθ] set_option linter.uppercaseLean3 false in #align complex.arg_cos_add_sin_mul_I Complex.arg_cos_add_sin_mul_I lemma arg_exp_mul_I (θ : ℝ) : arg (exp (θ * I)) = toIocMod (mul_pos two_pos Real.pi_pos) (-π) θ := by convert arg_cos_add_sin_mul_I (θ := toIocMod (mul_pos two_pos Real.pi_pos) (-π) θ) _ using 2 · rw [← exp_mul_I, eq_sub_of_add_eq $ toIocMod_add_toIocDiv_zsmul _ _ θ, ofReal_sub, ofReal_zsmul, ofReal_mul, ofReal_ofNat, exp_mul_I_periodic.sub_zsmul_eq] · convert toIocMod_mem_Ioc _ _ _ ring @[simp] theorem arg_zero : arg 0 = 0 := by simp [arg, le_refl] #align complex.arg_zero Complex.arg_zero theorem ext_abs_arg {x y : ℂ} (h₁ : abs x = abs y) (h₂ : x.arg = y.arg) : x = y := by rw [← abs_mul_exp_arg_mul_I x, ← abs_mul_exp_arg_mul_I y, h₁, h₂] #align complex.ext_abs_arg Complex.ext_abs_arg theorem ext_abs_arg_iff {x y : ℂ} : x = y ↔ abs x = abs y ∧ arg x = arg y := ⟨fun h => h ▸ ⟨rfl, rfl⟩, and_imp.2 ext_abs_arg⟩ #align complex.ext_abs_arg_iff Complex.ext_abs_arg_iff theorem arg_mem_Ioc (z : ℂ) : arg z ∈ Set.Ioc (-π) π := by have hπ : 0 < π := Real.pi_pos rcases eq_or_ne z 0 with (rfl | hz) · simp [hπ, hπ.le] rcases existsUnique_add_zsmul_mem_Ioc Real.two_pi_pos (arg z) (-π) with ⟨N, hN, -⟩ rw [two_mul, neg_add_cancel_left, ← two_mul, zsmul_eq_mul] at hN rw [← abs_mul_cos_add_sin_mul_I z, ← cos_add_int_mul_two_pi _ N, ← sin_add_int_mul_two_pi _ N] have := arg_mul_cos_add_sin_mul_I (abs.pos hz) hN push_cast at this rwa [this] #align complex.arg_mem_Ioc Complex.arg_mem_Ioc @[simp] theorem range_arg : Set.range arg = Set.Ioc (-π) π := (Set.range_subset_iff.2 arg_mem_Ioc).antisymm fun _ hx => ⟨_, arg_cos_add_sin_mul_I hx⟩ #align complex.range_arg Complex.range_arg theorem arg_le_pi (x : ℂ) : arg x ≤ π := (arg_mem_Ioc x).2 #align complex.arg_le_pi Complex.arg_le_pi theorem neg_pi_lt_arg (x : ℂ) : -π < arg x := (arg_mem_Ioc x).1 #align complex.neg_pi_lt_arg Complex.neg_pi_lt_arg theorem abs_arg_le_pi (z : ℂ) : |arg z| ≤ π := abs_le.2 ⟨(neg_pi_lt_arg z).le, arg_le_pi z⟩ #align complex.abs_arg_le_pi Complex.abs_arg_le_pi @[simp] theorem arg_nonneg_iff {z : ℂ} : 0 ≤ arg z ↔ 0 ≤ z.im := by rcases eq_or_ne z 0 with (rfl | h₀); · simp calc 0 ≤ arg z ↔ 0 ≤ Real.sin (arg z) := ⟨fun h => Real.sin_nonneg_of_mem_Icc ⟨h, arg_le_pi z⟩, by contrapose! intro h exact Real.sin_neg_of_neg_of_neg_pi_lt h (neg_pi_lt_arg _)⟩ _ ↔ _ := by rw [sin_arg, le_div_iff (abs.pos h₀), zero_mul] #align complex.arg_nonneg_iff Complex.arg_nonneg_iff @[simp] theorem arg_neg_iff {z : ℂ} : arg z < 0 ↔ z.im < 0 := lt_iff_lt_of_le_iff_le arg_nonneg_iff #align complex.arg_neg_iff Complex.arg_neg_iff theorem arg_real_mul (x : ℂ) {r : ℝ} (hr : 0 < r) : arg (r * x) = arg x := by rcases eq_or_ne x 0 with (rfl | hx); · rw [mul_zero] conv_lhs => rw [← abs_mul_cos_add_sin_mul_I x, ← mul_assoc, ← ofReal_mul, arg_mul_cos_add_sin_mul_I (mul_pos hr (abs.pos hx)) x.arg_mem_Ioc] #align complex.arg_real_mul Complex.arg_real_mul theorem arg_mul_real {r : ℝ} (hr : 0 < r) (x : ℂ) : arg (x * r) = arg x := mul_comm x r ▸ arg_real_mul x hr theorem arg_eq_arg_iff {x y : ℂ} (hx : x ≠ 0) (hy : y ≠ 0) : arg x = arg y ↔ (abs y / abs x : ℂ) * x = y := by simp only [ext_abs_arg_iff, map_mul, map_div₀, abs_ofReal, abs_abs, div_mul_cancel₀ _ (abs.ne_zero hx), eq_self_iff_true, true_and_iff] rw [← ofReal_div, arg_real_mul] exact div_pos (abs.pos hy) (abs.pos hx) #align complex.arg_eq_arg_iff Complex.arg_eq_arg_iff @[simp] theorem arg_one : arg 1 = 0 := by simp [arg, zero_le_one] #align complex.arg_one Complex.arg_one @[simp] theorem arg_neg_one : arg (-1) = π := by simp [arg, le_refl, not_le.2 (zero_lt_one' ℝ)] #align complex.arg_neg_one Complex.arg_neg_one @[simp] theorem arg_I : arg I = π / 2 := by simp [arg, le_refl] set_option linter.uppercaseLean3 false in #align complex.arg_I Complex.arg_I @[simp] theorem arg_neg_I : arg (-I) = -(π / 2) := by simp [arg, le_refl] set_option linter.uppercaseLean3 false in #align complex.arg_neg_I Complex.arg_neg_I @[simp] theorem tan_arg (x : ℂ) : Real.tan (arg x) = x.im / x.re := by by_cases h : x = 0 · simp only [h, zero_div, Complex.zero_im, Complex.arg_zero, Real.tan_zero, Complex.zero_re] rw [Real.tan_eq_sin_div_cos, sin_arg, cos_arg h, div_div_div_cancel_right _ (abs.ne_zero h)] #align complex.tan_arg Complex.tan_arg theorem arg_ofReal_of_nonneg {x : ℝ} (hx : 0 ≤ x) : arg x = 0 := by simp [arg, hx] #align complex.arg_of_real_of_nonneg Complex.arg_ofReal_of_nonneg @[simp, norm_cast] lemma natCast_arg {n : ℕ} : arg n = 0 := ofReal_natCast n ▸ arg_ofReal_of_nonneg n.cast_nonneg @[simp] lemma ofNat_arg {n : ℕ} [n.AtLeastTwo] : arg (no_index (OfNat.ofNat n)) = 0 := natCast_arg theorem arg_eq_zero_iff {z : ℂ} : arg z = 0 ↔ 0 ≤ z.re ∧ z.im = 0 := by refine ⟨fun h => ?_, ?_⟩ · rw [← abs_mul_cos_add_sin_mul_I z, h] simp [abs.nonneg] · cases' z with x y rintro ⟨h, rfl : y = 0⟩ exact arg_ofReal_of_nonneg h #align complex.arg_eq_zero_iff Complex.arg_eq_zero_iff open ComplexOrder in lemma arg_eq_zero_iff_zero_le {z : ℂ} : arg z = 0 ↔ 0 ≤ z := by rw [arg_eq_zero_iff, eq_comm, nonneg_iff] theorem arg_eq_pi_iff {z : ℂ} : arg z = π ↔ z.re < 0 ∧ z.im = 0 := by by_cases h₀ : z = 0 · simp [h₀, lt_irrefl, Real.pi_ne_zero.symm] constructor · intro h rw [← abs_mul_cos_add_sin_mul_I z, h] simp [h₀] · cases' z with x y rintro ⟨h : x < 0, rfl : y = 0⟩ rw [← arg_neg_one, ← arg_real_mul (-1) (neg_pos.2 h)] simp [← ofReal_def] #align complex.arg_eq_pi_iff Complex.arg_eq_pi_iff open ComplexOrder in lemma arg_eq_pi_iff_lt_zero {z : ℂ} : arg z = π ↔ z < 0 := arg_eq_pi_iff theorem arg_lt_pi_iff {z : ℂ} : arg z < π ↔ 0 ≤ z.re ∨ z.im ≠ 0 := by rw [(arg_le_pi z).lt_iff_ne, not_iff_comm, not_or, not_le, Classical.not_not, arg_eq_pi_iff] #align complex.arg_lt_pi_iff Complex.arg_lt_pi_iff theorem arg_ofReal_of_neg {x : ℝ} (hx : x < 0) : arg x = π := arg_eq_pi_iff.2 ⟨hx, rfl⟩ #align complex.arg_of_real_of_neg Complex.arg_ofReal_of_neg theorem arg_eq_pi_div_two_iff {z : ℂ} : arg z = π / 2 ↔ z.re = 0 ∧ 0 < z.im := by by_cases h₀ : z = 0; · simp [h₀, lt_irrefl, Real.pi_div_two_pos.ne] constructor · intro h rw [← abs_mul_cos_add_sin_mul_I z, h] simp [h₀] · cases' z with x y rintro ⟨rfl : x = 0, hy : 0 < y⟩ rw [← arg_I, ← arg_real_mul I hy, ofReal_mul', I_re, I_im, mul_zero, mul_one] #align complex.arg_eq_pi_div_two_iff Complex.arg_eq_pi_div_two_iff theorem arg_eq_neg_pi_div_two_iff {z : ℂ} : arg z = -(π / 2) ↔ z.re = 0 ∧ z.im < 0 := by by_cases h₀ : z = 0; · simp [h₀, lt_irrefl, Real.pi_ne_zero] constructor · intro h rw [← abs_mul_cos_add_sin_mul_I z, h] simp [h₀] · cases' z with x y rintro ⟨rfl : x = 0, hy : y < 0⟩ rw [← arg_neg_I, ← arg_real_mul (-I) (neg_pos.2 hy), mk_eq_add_mul_I] simp #align complex.arg_eq_neg_pi_div_two_iff Complex.arg_eq_neg_pi_div_two_iff theorem arg_of_re_nonneg {x : ℂ} (hx : 0 ≤ x.re) : arg x = Real.arcsin (x.im / abs x) := if_pos hx #align complex.arg_of_re_nonneg Complex.arg_of_re_nonneg theorem arg_of_re_neg_of_im_nonneg {x : ℂ} (hx_re : x.re < 0) (hx_im : 0 ≤ x.im) : arg x = Real.arcsin ((-x).im / abs x) + π := by simp only [arg, hx_re.not_le, hx_im, if_true, if_false] #align complex.arg_of_re_neg_of_im_nonneg Complex.arg_of_re_neg_of_im_nonneg theorem arg_of_re_neg_of_im_neg {x : ℂ} (hx_re : x.re < 0) (hx_im : x.im < 0) : arg x = Real.arcsin ((-x).im / abs x) - π := by simp only [arg, hx_re.not_le, hx_im.not_le, if_false] #align complex.arg_of_re_neg_of_im_neg Complex.arg_of_re_neg_of_im_neg theorem arg_of_im_nonneg_of_ne_zero {z : ℂ} (h₁ : 0 ≤ z.im) (h₂ : z ≠ 0) : arg z = Real.arccos (z.re / abs z) := by rw [← cos_arg h₂, Real.arccos_cos (arg_nonneg_iff.2 h₁) (arg_le_pi _)] #align complex.arg_of_im_nonneg_of_ne_zero Complex.arg_of_im_nonneg_of_ne_zero theorem arg_of_im_pos {z : ℂ} (hz : 0 < z.im) : arg z = Real.arccos (z.re / abs z) := arg_of_im_nonneg_of_ne_zero hz.le fun h => hz.ne' <| h.symm ▸ rfl #align complex.arg_of_im_pos Complex.arg_of_im_pos theorem arg_of_im_neg {z : ℂ} (hz : z.im < 0) : arg z = -Real.arccos (z.re / abs z) := by have h₀ : z ≠ 0 := mt (congr_arg im) hz.ne rw [← cos_arg h₀, ← Real.cos_neg, Real.arccos_cos, neg_neg] exacts [neg_nonneg.2 (arg_neg_iff.2 hz).le, neg_le.2 (neg_pi_lt_arg z).le] #align complex.arg_of_im_neg Complex.arg_of_im_neg theorem arg_conj (x : ℂ) : arg (conj x) = if arg x = π then π else -arg x := by simp_rw [arg_eq_pi_iff, arg, neg_im, conj_im, conj_re, abs_conj, neg_div, neg_neg, Real.arcsin_neg] rcases lt_trichotomy x.re 0 with (hr | hr | hr) <;> rcases lt_trichotomy x.im 0 with (hi | hi | hi) · simp [hr, hr.not_le, hi.le, hi.ne, not_le.2 hi, add_comm] · simp [hr, hr.not_le, hi] · simp [hr, hr.not_le, hi.ne.symm, hi.le, not_le.2 hi, sub_eq_neg_add] · simp [hr] · simp [hr] · simp [hr] · simp [hr, hr.le, hi.ne] · simp [hr, hr.le, hr.le.not_lt] · simp [hr, hr.le, hr.le.not_lt] #align complex.arg_conj Complex.arg_conj theorem arg_inv (x : ℂ) : arg x⁻¹ = if arg x = π then π else -arg x := by rw [← arg_conj, inv_def, mul_comm] by_cases hx : x = 0 · simp [hx] · exact arg_real_mul (conj x) (by simp [hx]) #align complex.arg_inv Complex.arg_inv @[simp] lemma abs_arg_inv (x : ℂ) : |x⁻¹.arg| = |x.arg| := by rw [arg_inv]; split_ifs <;> simp [*] -- TODO: Replace the next two lemmas by general facts about periodic functions lemma abs_eq_one_iff' : abs x = 1 ↔ ∃ θ ∈ Set.Ioc (-π) π, exp (θ * I) = x := by rw [abs_eq_one_iff] constructor · rintro ⟨θ, rfl⟩ refine ⟨toIocMod (mul_pos two_pos Real.pi_pos) (-π) θ, ?_, ?_⟩ · convert toIocMod_mem_Ioc _ _ _ ring · rw [eq_sub_of_add_eq $ toIocMod_add_toIocDiv_zsmul _ _ θ, ofReal_sub, ofReal_zsmul, ofReal_mul, ofReal_ofNat, exp_mul_I_periodic.sub_zsmul_eq] · rintro ⟨θ, _, rfl⟩ exact ⟨θ, rfl⟩ lemma image_exp_Ioc_eq_sphere : (fun θ : ℝ ↦ exp (θ * I)) '' Set.Ioc (-π) π = sphere 0 1 := by ext; simpa using abs_eq_one_iff'.symm theorem arg_le_pi_div_two_iff {z : ℂ} : arg z ≤ π / 2 ↔ 0 ≤ re z ∨ im z < 0 := by rcases le_or_lt 0 (re z) with hre | hre · simp only [hre, arg_of_re_nonneg hre, Real.arcsin_le_pi_div_two, true_or_iff] simp only [hre.not_le, false_or_iff] rcases le_or_lt 0 (im z) with him | him · simp only [him.not_lt] rw [iff_false_iff, not_le, arg_of_re_neg_of_im_nonneg hre him, ← sub_lt_iff_lt_add, half_sub, Real.neg_pi_div_two_lt_arcsin, neg_im, neg_div, neg_lt_neg_iff, div_lt_one, ← _root_.abs_of_nonneg him, abs_im_lt_abs] exacts [hre.ne, abs.pos <| ne_of_apply_ne re hre.ne] · simp only [him] rw [iff_true_iff, arg_of_re_neg_of_im_neg hre him] exact (sub_le_self _ Real.pi_pos.le).trans (Real.arcsin_le_pi_div_two _) #align complex.arg_le_pi_div_two_iff Complex.arg_le_pi_div_two_iff theorem neg_pi_div_two_le_arg_iff {z : ℂ} : -(π / 2) ≤ arg z ↔ 0 ≤ re z ∨ 0 ≤ im z := by rcases le_or_lt 0 (re z) with hre | hre · simp only [hre, arg_of_re_nonneg hre, Real.neg_pi_div_two_le_arcsin, true_or_iff] simp only [hre.not_le, false_or_iff] rcases le_or_lt 0 (im z) with him | him · simp only [him] rw [iff_true_iff, arg_of_re_neg_of_im_nonneg hre him] exact (Real.neg_pi_div_two_le_arcsin _).trans (le_add_of_nonneg_right Real.pi_pos.le) · simp only [him.not_le] rw [iff_false_iff, not_le, arg_of_re_neg_of_im_neg hre him, sub_lt_iff_lt_add', ← sub_eq_add_neg, sub_half, Real.arcsin_lt_pi_div_two, div_lt_one, neg_im, ← abs_of_neg him, abs_im_lt_abs] exacts [hre.ne, abs.pos <| ne_of_apply_ne re hre.ne] #align complex.neg_pi_div_two_le_arg_iff Complex.neg_pi_div_two_le_arg_iff lemma neg_pi_div_two_lt_arg_iff {z : ℂ} : -(π / 2) < arg z ↔ 0 < re z ∨ 0 ≤ im z := by rw [lt_iff_le_and_ne, neg_pi_div_two_le_arg_iff, ne_comm, Ne, arg_eq_neg_pi_div_two_iff] rcases lt_trichotomy z.re 0 with hre | hre | hre · simp [hre.ne, hre.not_le, hre.not_lt] · simp [hre] · simp [hre, hre.le, hre.ne'] lemma arg_lt_pi_div_two_iff {z : ℂ} : arg z < π / 2 ↔ 0 < re z ∨ im z < 0 ∨ z = 0 := by rw [lt_iff_le_and_ne, arg_le_pi_div_two_iff, Ne, arg_eq_pi_div_two_iff] rcases lt_trichotomy z.re 0 with hre | hre | hre · have : z ≠ 0 := by simp [ext_iff, hre.ne] simp [hre.ne, hre.not_le, hre.not_lt, this] · have : z = 0 ↔ z.im = 0 := by simp [ext_iff, hre] simp [hre, this, or_comm, le_iff_eq_or_lt] · simp [hre, hre.le, hre.ne'] @[simp] theorem abs_arg_le_pi_div_two_iff {z : ℂ} : |arg z| ≤ π / 2 ↔ 0 ≤ re z := by rw [abs_le, arg_le_pi_div_two_iff, neg_pi_div_two_le_arg_iff, ← or_and_left, ← not_le, and_not_self_iff, or_false_iff] #align complex.abs_arg_le_pi_div_two_iff Complex.abs_arg_le_pi_div_two_iff @[simp]
Mathlib/Analysis/SpecialFunctions/Complex/Arg.lean
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theorem abs_arg_lt_pi_div_two_iff {z : ℂ} : |arg z| < π / 2 ↔ 0 < re z ∨ z = 0 := by
rw [abs_lt, arg_lt_pi_div_two_iff, neg_pi_div_two_lt_arg_iff, ← or_and_left] rcases eq_or_ne z 0 with hz | hz · simp [hz] · simp_rw [hz, or_false, ← not_lt, not_and_self_iff, or_false]
import Mathlib.Algebra.ModEq import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.Archimedean import Mathlib.Algebra.Periodic import Mathlib.Data.Int.SuccPred import Mathlib.GroupTheory.QuotientGroup import Mathlib.Order.Circular import Mathlib.Data.List.TFAE import Mathlib.Data.Set.Lattice #align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" noncomputable section section LinearOrderedAddCommGroup variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p) {a b c : α} {n : ℤ} def toIcoDiv (a b : α) : ℤ := (existsUnique_sub_zsmul_mem_Ico hp b a).choose #align to_Ico_div toIcoDiv theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) := (existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1 #align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) : toIcoDiv hp a b = n := ((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm #align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico def toIocDiv (a b : α) : ℤ := (existsUnique_sub_zsmul_mem_Ioc hp b a).choose #align to_Ioc_div toIocDiv theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) := (existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1 #align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) : toIocDiv hp a b = n := ((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm #align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc def toIcoMod (a b : α) : α := b - toIcoDiv hp a b • p #align to_Ico_mod toIcoMod def toIocMod (a b : α) : α := b - toIocDiv hp a b • p #align to_Ioc_mod toIocMod theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) := sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_mod_mem_Ico toIcoMod_mem_Ico theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by convert toIcoMod_mem_Ico hp 0 b exact (zero_add p).symm #align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico' theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) := sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b := (Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1 #align left_le_to_Ico_mod left_le_toIcoMod theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b := (Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1 #align left_lt_to_Ioc_mod left_lt_toIocMod theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p := (Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2 #align to_Ico_mod_lt_right toIcoMod_lt_right theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p := (Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2 #align to_Ioc_mod_le_right toIocMod_le_right @[simp] theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b := rfl #align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul @[simp] theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b := rfl #align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul @[simp] theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by rw [toIcoMod, neg_sub] #align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self @[simp] theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by rw [toIocMod, neg_sub] #align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self @[simp] theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by rw [toIcoMod, sub_sub_cancel_left, neg_smul] #align to_Ico_mod_sub_self toIcoMod_sub_self @[simp] theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by rw [toIocMod, sub_sub_cancel_left, neg_smul] #align to_Ioc_mod_sub_self toIocMod_sub_self @[simp] theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by rw [toIcoMod, sub_sub_cancel] #align self_sub_to_Ico_mod self_sub_toIcoMod @[simp] theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by rw [toIocMod, sub_sub_cancel] #align self_sub_to_Ioc_mod self_sub_toIocMod @[simp] theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by rw [toIcoMod, sub_add_cancel] #align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul @[simp] theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by rw [toIocMod, sub_add_cancel] #align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul @[simp] theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by rw [add_comm, toIcoMod_add_toIcoDiv_zsmul] #align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod @[simp] theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by rw [add_comm, toIocMod_add_toIocDiv_zsmul] #align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by refine ⟨fun h => ⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩, ?_⟩ simp_rw [← @sub_eq_iff_eq_add] rintro ⟨hc, n, rfl⟩ rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod] #align to_Ico_mod_eq_iff toIcoMod_eq_iff theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by refine ⟨fun h => ⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩, ?_⟩ simp_rw [← @sub_eq_iff_eq_add] rintro ⟨hc, n, rfl⟩ rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod] #align to_Ioc_mod_eq_iff toIocMod_eq_iff @[simp] theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp] #align to_Ico_div_apply_left toIcoDiv_apply_left @[simp] theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp] #align to_Ioc_div_apply_left toIocDiv_apply_left @[simp] theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by rw [toIcoMod_eq_iff hp, Set.left_mem_Ico] exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩ #align to_Ico_mod_apply_left toIcoMod_apply_left @[simp] theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by rw [toIocMod_eq_iff hp, Set.right_mem_Ioc] exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩ #align to_Ioc_mod_apply_left toIocMod_apply_left theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp] #align to_Ico_div_apply_right toIcoDiv_apply_right theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp] #align to_Ioc_div_apply_right toIocDiv_apply_right theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by rw [toIcoMod_eq_iff hp, Set.left_mem_Ico] exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩ #align to_Ico_mod_apply_right toIcoMod_apply_right theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by rw [toIocMod_eq_iff hp, Set.right_mem_Ioc] exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩ #align to_Ioc_mod_apply_right toIocMod_apply_right @[simp] theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_div_add_zsmul toIcoDiv_add_zsmul @[simp] theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) : toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_ rw [sub_smul, ← sub_add, add_right_comm] simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul' @[simp] theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_div_add_zsmul toIocDiv_add_zsmul @[simp] theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) : toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_ rw [sub_smul, ← sub_add, add_right_comm] simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul' @[simp] theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by rw [add_comm, toIcoDiv_add_zsmul, add_comm] #align to_Ico_div_zsmul_add toIcoDiv_zsmul_add @[simp] theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by rw [add_comm, toIocDiv_add_zsmul, add_comm] #align to_Ioc_div_zsmul_add toIocDiv_zsmul_add @[simp] theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg] #align to_Ico_div_sub_zsmul toIcoDiv_sub_zsmul @[simp] theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) : toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add] #align to_Ico_div_sub_zsmul' toIcoDiv_sub_zsmul' @[simp] theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg] #align to_Ioc_div_sub_zsmul toIocDiv_sub_zsmul @[simp] theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) : toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add] #align to_Ioc_div_sub_zsmul' toIocDiv_sub_zsmul' @[simp] theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1 #align to_Ico_div_add_right toIcoDiv_add_right @[simp] theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1 #align to_Ico_div_add_right' toIcoDiv_add_right' @[simp] theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1 #align to_Ioc_div_add_right toIocDiv_add_right @[simp] theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1 #align to_Ioc_div_add_right' toIocDiv_add_right' @[simp] theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by rw [add_comm, toIcoDiv_add_right] #align to_Ico_div_add_left toIcoDiv_add_left @[simp] theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by rw [add_comm, toIcoDiv_add_right'] #align to_Ico_div_add_left' toIcoDiv_add_left' @[simp] theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by rw [add_comm, toIocDiv_add_right] #align to_Ioc_div_add_left toIocDiv_add_left @[simp] theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by rw [add_comm, toIocDiv_add_right'] #align to_Ioc_div_add_left' toIocDiv_add_left' @[simp] theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1 #align to_Ico_div_sub toIcoDiv_sub @[simp] theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1 #align to_Ico_div_sub' toIcoDiv_sub' @[simp] theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1 #align to_Ioc_div_sub toIocDiv_sub @[simp] theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1 #align to_Ioc_div_sub' toIocDiv_sub' theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) : toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by apply toIcoDiv_eq_of_sub_zsmul_mem_Ico rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm] exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b #align to_Ico_div_sub_eq_to_Ico_div_add toIcoDiv_sub_eq_toIcoDiv_add theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) : toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by apply toIocDiv_eq_of_sub_zsmul_mem_Ioc rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm] exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b #align to_Ioc_div_sub_eq_to_Ioc_div_add toIocDiv_sub_eq_toIocDiv_add theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) : toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg] #align to_Ico_div_sub_eq_to_Ico_div_add' toIcoDiv_sub_eq_toIcoDiv_add' theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) : toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg] #align to_Ioc_div_sub_eq_to_Ioc_div_add' toIocDiv_sub_eq_toIocDiv_add' theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this rw [← neg_eq_iff_eq_neg, eq_comm] apply toIocDiv_eq_of_sub_zsmul_mem_Ioc obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b) rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc refine ⟨ho, hc.trans_eq ?_⟩ rw [neg_add, neg_add_cancel_right] #align to_Ico_div_neg toIcoDiv_neg theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b) #align to_Ico_div_neg' toIcoDiv_neg' theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right] #align to_Ioc_div_neg toIocDiv_neg theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b) #align to_Ioc_div_neg' toIocDiv_neg' @[simp] theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul] abel #align to_Ico_mod_add_zsmul toIcoMod_add_zsmul @[simp] theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) : toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add] #align to_Ico_mod_add_zsmul' toIcoMod_add_zsmul' @[simp] theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul] abel #align to_Ioc_mod_add_zsmul toIocMod_add_zsmul @[simp] theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) : toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add] #align to_Ioc_mod_add_zsmul' toIocMod_add_zsmul' @[simp] theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by rw [add_comm, toIcoMod_add_zsmul] #align to_Ico_mod_zsmul_add toIcoMod_zsmul_add @[simp] theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) : toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by rw [add_comm, toIcoMod_add_zsmul', add_comm] #align to_Ico_mod_zsmul_add' toIcoMod_zsmul_add' @[simp] theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by rw [add_comm, toIocMod_add_zsmul] #align to_Ioc_mod_zsmul_add toIocMod_zsmul_add @[simp] theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) : toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by rw [add_comm, toIocMod_add_zsmul', add_comm] #align to_Ioc_mod_zsmul_add' toIocMod_zsmul_add' @[simp] theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul] #align to_Ico_mod_sub_zsmul toIcoMod_sub_zsmul @[simp] theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) : toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul'] #align to_Ico_mod_sub_zsmul' toIcoMod_sub_zsmul' @[simp] theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul] #align to_Ioc_mod_sub_zsmul toIocMod_sub_zsmul @[simp] theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) : toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul'] #align to_Ioc_mod_sub_zsmul' toIocMod_sub_zsmul' @[simp] theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1 #align to_Ico_mod_add_right toIcoMod_add_right @[simp] theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1 #align to_Ico_mod_add_right' toIcoMod_add_right' @[simp] theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1 #align to_Ioc_mod_add_right toIocMod_add_right @[simp] theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1 #align to_Ioc_mod_add_right' toIocMod_add_right' @[simp] theorem toIcoMod_add_left (a b : α) : toIcoMod hp a (p + b) = toIcoMod hp a b := by rw [add_comm, toIcoMod_add_right] #align to_Ico_mod_add_left toIcoMod_add_left @[simp] theorem toIcoMod_add_left' (a b : α) : toIcoMod hp (p + a) b = p + toIcoMod hp a b := by rw [add_comm, toIcoMod_add_right', add_comm] #align to_Ico_mod_add_left' toIcoMod_add_left' @[simp] theorem toIocMod_add_left (a b : α) : toIocMod hp a (p + b) = toIocMod hp a b := by rw [add_comm, toIocMod_add_right] #align to_Ioc_mod_add_left toIocMod_add_left @[simp] theorem toIocMod_add_left' (a b : α) : toIocMod hp (p + a) b = p + toIocMod hp a b := by rw [add_comm, toIocMod_add_right', add_comm] #align to_Ioc_mod_add_left' toIocMod_add_left' @[simp] theorem toIcoMod_sub (a b : α) : toIcoMod hp a (b - p) = toIcoMod hp a b := by simpa only [one_zsmul] using toIcoMod_sub_zsmul hp a b 1 #align to_Ico_mod_sub toIcoMod_sub @[simp] theorem toIcoMod_sub' (a b : α) : toIcoMod hp (a - p) b = toIcoMod hp a b - p := by simpa only [one_zsmul] using toIcoMod_sub_zsmul' hp a b 1 #align to_Ico_mod_sub' toIcoMod_sub' @[simp] theorem toIocMod_sub (a b : α) : toIocMod hp a (b - p) = toIocMod hp a b := by simpa only [one_zsmul] using toIocMod_sub_zsmul hp a b 1 #align to_Ioc_mod_sub toIocMod_sub @[simp]
Mathlib/Algebra/Order/ToIntervalMod.lean
530
531
theorem toIocMod_sub' (a b : α) : toIocMod hp (a - p) b = toIocMod hp a b - p := by
simpa only [one_zsmul] using toIocMod_sub_zsmul' hp a b 1
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)
Mathlib/Analysis/MellinTransform.lean
106
109
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]
import Mathlib.Algebra.GeomSum import Mathlib.Algebra.Polynomial.Roots import Mathlib.GroupTheory.SpecificGroups.Cyclic #align_import ring_theory.integral_domain from "leanprover-community/mathlib"@"6e70e0d419bf686784937d64ed4bfde866ff229e" section open Finset Polynomial Function Nat variable {R : Type*} {G : Type*} variable [CommRing R] [IsDomain R] [Group G] -- Porting note: Finset doesn't seem to have `{g ∈ univ | g^n = g₀}` notation anymore, -- so we have to use `Finset.filter` instead theorem card_nthRoots_subgroup_units [Fintype G] [DecidableEq G] (f : G →* R) (hf : Injective f) {n : ℕ} (hn : 0 < n) (g₀ : G) : Finset.card (Finset.univ.filter (fun g ↦ g^n = g₀)) ≤ Multiset.card (nthRoots n (f g₀)) := by haveI : DecidableEq R := Classical.decEq _ refine le_trans ?_ (nthRoots n (f g₀)).toFinset_card_le apply card_le_card_of_inj_on f · intro g hg rw [mem_filter] at hg rw [Multiset.mem_toFinset, mem_nthRoots hn, ← f.map_pow, hg.2] · intros apply hf assumption #align card_nth_roots_subgroup_units card_nthRoots_subgroup_units theorem isCyclic_of_subgroup_isDomain [Finite G] (f : G →* R) (hf : Injective f) : IsCyclic G := by classical cases nonempty_fintype G apply isCyclic_of_card_pow_eq_one_le intro n hn exact le_trans (card_nthRoots_subgroup_units f hf hn 1) (card_nthRoots n (f 1)) #align is_cyclic_of_subgroup_is_domain isCyclic_of_subgroup_isDomain instance [Finite Rˣ] : IsCyclic Rˣ := isCyclic_of_subgroup_isDomain (Units.coeHom R) <| Units.ext section variable (S : Subgroup Rˣ) [Finite S] instance subgroup_units_cyclic : IsCyclic S := by -- Porting note: the original proof used a `coe`, but I was not able to get it to work. apply isCyclic_of_subgroup_isDomain (R := R) (G := S) _ _ · exact MonoidHom.mk (OneHom.mk (fun s => ↑s.val) rfl) (by simp) · exact Units.ext.comp Subtype.val_injective #align subgroup_units_cyclic subgroup_units_cyclic end section EuclideanDivision variable [Fintype G] @[deprecated (since := "2024-06-10")] alias card_fiber_eq_of_mem_range := MonoidHom.card_fiber_eq_of_mem_range theorem sum_hom_units_eq_zero (f : G →* R) (hf : f ≠ 1) : ∑ g : G, f g = 0 := by classical obtain ⟨x, hx⟩ : ∃ x : MonoidHom.range f.toHomUnits, ∀ y : MonoidHom.range f.toHomUnits, y ∈ Submonoid.powers x := IsCyclic.exists_monoid_generator have hx1 : x ≠ 1 := by rintro rfl apply hf ext g rw [MonoidHom.one_apply] cases' hx ⟨f.toHomUnits g, g, rfl⟩ with n hn rwa [Subtype.ext_iff, Units.ext_iff, Subtype.coe_mk, MonoidHom.coe_toHomUnits, one_pow, eq_comm] at hn replace hx1 : (x.val : R) - 1 ≠ 0 := -- Porting note: was `(x : R)` fun h => hx1 (Subtype.eq (Units.ext (sub_eq_zero.1 h))) let c := (univ.filter fun g => f.toHomUnits g = 1).card calc ∑ g : G, f g = ∑ g : G, (f.toHomUnits g : R) := rfl _ = ∑ u ∈ univ.image f.toHomUnits, (univ.filter fun g => f.toHomUnits g = u).card • (u : R) := (sum_comp ((↑) : Rˣ → R) f.toHomUnits) _ = ∑ u ∈ univ.image f.toHomUnits, c • (u : R) := (sum_congr rfl fun u hu => congr_arg₂ _ ?_ rfl) -- remaining goal 1, proven below -- Porting note: have to change `(b : R)` into `((b : Rˣ) : R)` _ = ∑ b : MonoidHom.range f.toHomUnits, c • ((b : Rˣ) : R) := (Finset.sum_subtype _ (by simp) _) _ = c • ∑ b : MonoidHom.range f.toHomUnits, ((b : Rˣ) : R) := smul_sum.symm _ = c • (0 : R) := congr_arg₂ _ rfl ?_ -- remaining goal 2, proven below _ = (0 : R) := smul_zero _ · -- remaining goal 1 show (univ.filter fun g : G => f.toHomUnits g = u).card = c apply MonoidHom.card_fiber_eq_of_mem_range f.toHomUnits · simpa only [mem_image, mem_univ, true_and, Set.mem_range] using hu · exact ⟨1, f.toHomUnits.map_one⟩ -- remaining goal 2 show (∑ b : MonoidHom.range f.toHomUnits, ((b : Rˣ) : R)) = 0 calc (∑ b : MonoidHom.range f.toHomUnits, ((b : Rˣ) : R)) = ∑ n ∈ range (orderOf x), ((x : Rˣ) : R) ^ n := Eq.symm <| sum_nbij (x ^ ·) (by simp only [mem_univ, forall_true_iff]) (by simpa using pow_injOn_Iio_orderOf) (fun b _ => let ⟨n, hn⟩ := hx b ⟨n % orderOf x, mem_range.2 (Nat.mod_lt _ (orderOf_pos _)), -- Porting note: have to use `dsimp` to apply the function by dsimp at hn ⊢; rw [pow_mod_orderOf, hn]⟩) (by simp only [imp_true_iff, eq_self_iff_true, Subgroup.coe_pow, Units.val_pow_eq_pow_val]) _ = 0 := ?_ rw [← mul_left_inj' hx1, zero_mul, geom_sum_mul] norm_cast simp [pow_orderOf_eq_one] #align sum_hom_units_eq_zero sum_hom_units_eq_zero
Mathlib/RingTheory/IntegralDomain.lean
260
265
theorem sum_hom_units (f : G →* R) [Decidable (f = 1)] : ∑ g : G, f g = if f = 1 then Fintype.card G else 0 := by
split_ifs with h · simp [h, card_univ] · rw [cast_zero] -- Porting note: added exact sum_hom_units_eq_zero f h
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Order.Group.Indicator import Mathlib.Order.LiminfLimsup import Mathlib.Order.Filter.Archimedean import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Data.Set.Lattice import Mathlib.Topology.Order.Monotone #align_import topology.algebra.order.liminf_limsup from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Filter TopologicalSpace open scoped Topology Classical universe u v variable {ι α β R S : Type*} {π : ι → Type*} class BoundedLENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_le_nhds (a : α) : (𝓝 a).IsBounded (· ≤ ·) #align bounded_le_nhds_class BoundedLENhdsClass class BoundedGENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_ge_nhds (a : α) : (𝓝 a).IsBounded (· ≥ ·) #align bounded_ge_nhds_class BoundedGENhdsClass section Preorder variable [Preorder α] [Preorder β] [TopologicalSpace α] [TopologicalSpace β] section LiminfLimsup section InfiAndSupr open Topology open Filter Set variable [CompleteLinearOrder R] [TopologicalSpace R] [OrderTopology R]
Mathlib/Topology/Algebra/Order/LiminfLimsup.lean
476
479
theorem iInf_eq_of_forall_le_of_tendsto {x : R} {as : ι → R} (x_le : ∀ i, x ≤ as i) {F : Filter ι} [Filter.NeBot F] (as_lim : Filter.Tendsto as F (𝓝 x)) : ⨅ i, as i = x := by
refine iInf_eq_of_forall_ge_of_forall_gt_exists_lt (fun i ↦ x_le i) ?_ apply fun w x_lt_w ↦ ‹Filter.NeBot F›.nonempty_of_mem (eventually_lt_of_tendsto_lt x_lt_w as_lim)
import Mathlib.Analysis.Convex.Between import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.Topology.MetricSpace.Holder import Mathlib.Topology.MetricSpace.MetricSeparated #align_import measure_theory.measure.hausdorff from "leanprover-community/mathlib"@"3d5c4a7a5fb0d982f97ed953161264f1dbd90ead" open scoped NNReal ENNReal Topology open EMetric Set Function Filter Encodable FiniteDimensional TopologicalSpace noncomputable section variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y] namespace MeasureTheory namespace OuterMeasure def IsMetric (μ : OuterMeasure X) : Prop := ∀ s t : Set X, IsMetricSeparated s t → μ (s ∪ t) = μ s + μ t #align measure_theory.outer_measure.is_metric MeasureTheory.OuterMeasure.IsMetric def mkMetric'.pre (m : Set X → ℝ≥0∞) (r : ℝ≥0∞) : OuterMeasure X := boundedBy <| extend fun s (_ : diam s ≤ r) => m s #align measure_theory.outer_measure.mk_metric'.pre MeasureTheory.OuterMeasure.mkMetric'.pre def mkMetric' (m : Set X → ℝ≥0∞) : OuterMeasure X := ⨆ r > 0, mkMetric'.pre m r #align measure_theory.outer_measure.mk_metric' MeasureTheory.OuterMeasure.mkMetric' def mkMetric (m : ℝ≥0∞ → ℝ≥0∞) : OuterMeasure X := mkMetric' fun s => m (diam s) #align measure_theory.outer_measure.mk_metric MeasureTheory.OuterMeasure.mkMetric namespace mkMetric' variable {m : Set X → ℝ≥0∞} {r : ℝ≥0∞} {μ : OuterMeasure X} {s : Set X} theorem le_pre : μ ≤ pre m r ↔ ∀ s : Set X, diam s ≤ r → μ s ≤ m s := by simp only [pre, le_boundedBy, extend, le_iInf_iff] #align measure_theory.outer_measure.mk_metric'.le_pre MeasureTheory.OuterMeasure.mkMetric'.le_pre theorem pre_le (hs : diam s ≤ r) : pre m r s ≤ m s := (boundedBy_le _).trans <| iInf_le _ hs #align measure_theory.outer_measure.mk_metric'.pre_le MeasureTheory.OuterMeasure.mkMetric'.pre_le theorem mono_pre (m : Set X → ℝ≥0∞) {r r' : ℝ≥0∞} (h : r ≤ r') : pre m r' ≤ pre m r := le_pre.2 fun _ hs => pre_le (hs.trans h) #align measure_theory.outer_measure.mk_metric'.mono_pre MeasureTheory.OuterMeasure.mkMetric'.mono_pre theorem mono_pre_nat (m : Set X → ℝ≥0∞) : Monotone fun k : ℕ => pre m k⁻¹ := fun k l h => le_pre.2 fun s hs => pre_le (hs.trans <| by simpa) #align measure_theory.outer_measure.mk_metric'.mono_pre_nat MeasureTheory.OuterMeasure.mkMetric'.mono_pre_nat
Mathlib/MeasureTheory/Measure/Hausdorff.lean
286
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theorem tendsto_pre (m : Set X → ℝ≥0∞) (s : Set X) : Tendsto (fun r => pre m r s) (𝓝[>] 0) (𝓝 <| mkMetric' m s) := by
rw [← map_coe_Ioi_atBot, tendsto_map'_iff] simp only [mkMetric', OuterMeasure.iSup_apply, iSup_subtype'] exact tendsto_atBot_iSup fun r r' hr => mono_pre _ hr _
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio #align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) := ⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩ #align ennreal.open_embedding_coe ENNReal.openEmbedding_coe theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) := IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _ #align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds @[norm_cast] theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} : Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) := embedding_coe.tendsto_nhds_iff.symm #align ennreal.tendsto_coe ENNReal.tendsto_coe theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) := embedding_coe.continuous #align ennreal.continuous_coe ENNReal.continuous_coe theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} : (Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f := embedding_coe.continuous_iff.symm #align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) := (openEmbedding_coe.map_nhds_eq r).symm #align ennreal.nhds_coe ENNReal.nhds_coe theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} : Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by rw [nhds_coe, tendsto_map'_iff] #align ennreal.tendsto_nhds_coe_iff ENNReal.tendsto_nhds_coe_iff theorem continuousAt_coe_iff {α : Type*} [TopologicalSpace α] {x : ℝ≥0} {f : ℝ≥0∞ → α} : ContinuousAt f ↑x ↔ ContinuousAt (f ∘ (↑) : ℝ≥0 → α) x := tendsto_nhds_coe_iff #align ennreal.continuous_at_coe_iff ENNReal.continuousAt_coe_iff theorem nhds_coe_coe {r p : ℝ≥0} : 𝓝 ((r : ℝ≥0∞), (p : ℝ≥0∞)) = (𝓝 (r, p)).map fun p : ℝ≥0 × ℝ≥0 => (↑p.1, ↑p.2) := ((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm #align ennreal.nhds_coe_coe ENNReal.nhds_coe_coe theorem continuous_ofReal : Continuous ENNReal.ofReal := (continuous_coe_iff.2 continuous_id).comp continuous_real_toNNReal #align ennreal.continuous_of_real ENNReal.continuous_ofReal theorem tendsto_ofReal {f : Filter α} {m : α → ℝ} {a : ℝ} (h : Tendsto m f (𝓝 a)) : Tendsto (fun a => ENNReal.ofReal (m a)) f (𝓝 (ENNReal.ofReal a)) := (continuous_ofReal.tendsto a).comp h #align ennreal.tendsto_of_real ENNReal.tendsto_ofReal theorem tendsto_toNNReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toNNReal (𝓝 a) (𝓝 a.toNNReal) := by lift a to ℝ≥0 using ha rw [nhds_coe, tendsto_map'_iff] exact tendsto_id #align ennreal.tendsto_to_nnreal ENNReal.tendsto_toNNReal theorem eventuallyEq_of_toReal_eventuallyEq {l : Filter α} {f g : α → ℝ≥0∞} (hfi : ∀ᶠ x in l, f x ≠ ∞) (hgi : ∀ᶠ x in l, g x ≠ ∞) (hfg : (fun x => (f x).toReal) =ᶠ[l] fun x => (g x).toReal) : f =ᶠ[l] g := by filter_upwards [hfi, hgi, hfg] with _ hfx hgx _ rwa [← ENNReal.toReal_eq_toReal hfx hgx] #align ennreal.eventually_eq_of_to_real_eventually_eq ENNReal.eventuallyEq_of_toReal_eventuallyEq theorem continuousOn_toNNReal : ContinuousOn ENNReal.toNNReal { a | a ≠ ∞ } := fun _a ha => ContinuousAt.continuousWithinAt (tendsto_toNNReal ha) #align ennreal.continuous_on_to_nnreal ENNReal.continuousOn_toNNReal theorem tendsto_toReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toReal (𝓝 a) (𝓝 a.toReal) := NNReal.tendsto_coe.2 <| tendsto_toNNReal ha #align ennreal.tendsto_to_real ENNReal.tendsto_toReal lemma continuousOn_toReal : ContinuousOn ENNReal.toReal { a | a ≠ ∞ } := NNReal.continuous_coe.comp_continuousOn continuousOn_toNNReal lemma continuousAt_toReal (hx : x ≠ ∞) : ContinuousAt ENNReal.toReal x := continuousOn_toReal.continuousAt (isOpen_ne_top.mem_nhds_iff.mpr hx) def neTopHomeomorphNNReal : { a | a ≠ ∞ } ≃ₜ ℝ≥0 where toEquiv := neTopEquivNNReal continuous_toFun := continuousOn_iff_continuous_restrict.1 continuousOn_toNNReal continuous_invFun := continuous_coe.subtype_mk _ #align ennreal.ne_top_homeomorph_nnreal ENNReal.neTopHomeomorphNNReal def ltTopHomeomorphNNReal : { a | a < ∞ } ≃ₜ ℝ≥0 := by refine (Homeomorph.setCongr ?_).trans neTopHomeomorphNNReal simp only [mem_setOf_eq, lt_top_iff_ne_top] #align ennreal.lt_top_homeomorph_nnreal ENNReal.ltTopHomeomorphNNReal theorem nhds_top : 𝓝 ∞ = ⨅ (a) (_ : a ≠ ∞), 𝓟 (Ioi a) := nhds_top_order.trans <| by simp [lt_top_iff_ne_top, Ioi] #align ennreal.nhds_top ENNReal.nhds_top theorem nhds_top' : 𝓝 ∞ = ⨅ r : ℝ≥0, 𝓟 (Ioi ↑r) := nhds_top.trans <| iInf_ne_top _ #align ennreal.nhds_top' ENNReal.nhds_top' theorem nhds_top_basis : (𝓝 ∞).HasBasis (fun a => a < ∞) fun a => Ioi a := _root_.nhds_top_basis #align ennreal.nhds_top_basis ENNReal.nhds_top_basis theorem tendsto_nhds_top_iff_nnreal {m : α → ℝ≥0∞} {f : Filter α} : Tendsto m f (𝓝 ∞) ↔ ∀ x : ℝ≥0, ∀ᶠ a in f, ↑x < m a := by simp only [nhds_top', tendsto_iInf, tendsto_principal, mem_Ioi] #align ennreal.tendsto_nhds_top_iff_nnreal ENNReal.tendsto_nhds_top_iff_nnreal theorem tendsto_nhds_top_iff_nat {m : α → ℝ≥0∞} {f : Filter α} : Tendsto m f (𝓝 ∞) ↔ ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a := tendsto_nhds_top_iff_nnreal.trans ⟨fun h n => by simpa only [ENNReal.coe_natCast] using h n, fun h x => let ⟨n, hn⟩ := exists_nat_gt x (h n).mono fun y => lt_trans <| by rwa [← ENNReal.coe_natCast, coe_lt_coe]⟩ #align ennreal.tendsto_nhds_top_iff_nat ENNReal.tendsto_nhds_top_iff_nat theorem tendsto_nhds_top {m : α → ℝ≥0∞} {f : Filter α} (h : ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a) : Tendsto m f (𝓝 ∞) := tendsto_nhds_top_iff_nat.2 h #align ennreal.tendsto_nhds_top ENNReal.tendsto_nhds_top theorem tendsto_nat_nhds_top : Tendsto (fun n : ℕ => ↑n) atTop (𝓝 ∞) := tendsto_nhds_top fun n => mem_atTop_sets.2 ⟨n + 1, fun _m hm => mem_setOf.2 <| Nat.cast_lt.2 <| Nat.lt_of_succ_le hm⟩ #align ennreal.tendsto_nat_nhds_top ENNReal.tendsto_nat_nhds_top @[simp, norm_cast] theorem tendsto_coe_nhds_top {f : α → ℝ≥0} {l : Filter α} : Tendsto (fun x => (f x : ℝ≥0∞)) l (𝓝 ∞) ↔ Tendsto f l atTop := by rw [tendsto_nhds_top_iff_nnreal, atTop_basis_Ioi.tendsto_right_iff]; simp #align ennreal.tendsto_coe_nhds_top ENNReal.tendsto_coe_nhds_top theorem tendsto_ofReal_atTop : Tendsto ENNReal.ofReal atTop (𝓝 ∞) := tendsto_coe_nhds_top.2 tendsto_real_toNNReal_atTop #align ennreal.tendsto_of_real_at_top ENNReal.tendsto_ofReal_atTop theorem nhds_zero : 𝓝 (0 : ℝ≥0∞) = ⨅ (a) (_ : a ≠ 0), 𝓟 (Iio a) := nhds_bot_order.trans <| by simp [pos_iff_ne_zero, Iio] #align ennreal.nhds_zero ENNReal.nhds_zero theorem nhds_zero_basis : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) fun a => Iio a := nhds_bot_basis #align ennreal.nhds_zero_basis ENNReal.nhds_zero_basis theorem nhds_zero_basis_Iic : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) Iic := nhds_bot_basis_Iic #align ennreal.nhds_zero_basis_Iic ENNReal.nhds_zero_basis_Iic -- Porting note (#11215): TODO: add a TC for `≠ ∞`? @[instance] theorem nhdsWithin_Ioi_coe_neBot {r : ℝ≥0} : (𝓝[>] (r : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_self_neBot' ⟨∞, ENNReal.coe_lt_top⟩ #align ennreal.nhds_within_Ioi_coe_ne_bot ENNReal.nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Ioi_zero_neBot : (𝓝[>] (0 : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot #align ennreal.nhds_within_Ioi_zero_ne_bot ENNReal.nhdsWithin_Ioi_zero_neBot @[instance] theorem nhdsWithin_Ioi_one_neBot : (𝓝[>] (1 : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Ioi_nat_neBot (n : ℕ) : (𝓝[>] (n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Ioi_ofNat_nebot (n : ℕ) [n.AtLeastTwo] : (𝓝[>] (OfNat.ofNat n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Iio_neBot [NeZero x] : (𝓝[<] x).NeBot := nhdsWithin_Iio_self_neBot' ⟨0, NeZero.pos x⟩ theorem hasBasis_nhds_of_ne_top' (xt : x ≠ ∞) : (𝓝 x).HasBasis (· ≠ 0) (fun ε => Icc (x - ε) (x + ε)) := by rcases (zero_le x).eq_or_gt with rfl | x0 · simp_rw [zero_tsub, zero_add, ← bot_eq_zero, Icc_bot, ← bot_lt_iff_ne_bot] exact nhds_bot_basis_Iic · refine (nhds_basis_Ioo' ⟨_, x0⟩ ⟨_, xt.lt_top⟩).to_hasBasis ?_ fun ε ε0 => ?_ · rintro ⟨a, b⟩ ⟨ha, hb⟩ rcases exists_between (tsub_pos_of_lt ha) with ⟨ε, ε0, hε⟩ rcases lt_iff_exists_add_pos_lt.1 hb with ⟨δ, δ0, hδ⟩ refine ⟨min ε δ, (lt_min ε0 (coe_pos.2 δ0)).ne', Icc_subset_Ioo ?_ ?_⟩ · exact lt_tsub_comm.2 ((min_le_left _ _).trans_lt hε) · exact (add_le_add_left (min_le_right _ _) _).trans_lt hδ · exact ⟨(x - ε, x + ε), ⟨ENNReal.sub_lt_self xt x0.ne' ε0, lt_add_right xt ε0⟩, Ioo_subset_Icc_self⟩ theorem hasBasis_nhds_of_ne_top (xt : x ≠ ∞) : (𝓝 x).HasBasis (0 < ·) (fun ε => Icc (x - ε) (x + ε)) := by simpa only [pos_iff_ne_zero] using hasBasis_nhds_of_ne_top' xt theorem Icc_mem_nhds (xt : x ≠ ∞) (ε0 : ε ≠ 0) : Icc (x - ε) (x + ε) ∈ 𝓝 x := (hasBasis_nhds_of_ne_top' xt).mem_of_mem ε0 #align ennreal.Icc_mem_nhds ENNReal.Icc_mem_nhds theorem nhds_of_ne_top (xt : x ≠ ∞) : 𝓝 x = ⨅ ε > 0, 𝓟 (Icc (x - ε) (x + ε)) := (hasBasis_nhds_of_ne_top xt).eq_biInf #align ennreal.nhds_of_ne_top ENNReal.nhds_of_ne_top theorem biInf_le_nhds : ∀ x : ℝ≥0∞, ⨅ ε > 0, 𝓟 (Icc (x - ε) (x + ε)) ≤ 𝓝 x | ∞ => iInf₂_le_of_le 1 one_pos <| by simpa only [← coe_one, top_sub_coe, top_add, Icc_self, principal_singleton] using pure_le_nhds _ | (x : ℝ≥0) => (nhds_of_ne_top coe_ne_top).ge -- Porting note (#10756): new lemma protected theorem tendsto_nhds_of_Icc {f : Filter α} {u : α → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ ε > 0, ∀ᶠ x in f, u x ∈ Icc (a - ε) (a + ε)) : Tendsto u f (𝓝 a) := by refine Tendsto.mono_right ?_ (biInf_le_nhds _) simpa only [tendsto_iInf, tendsto_principal] protected theorem tendsto_nhds {f : Filter α} {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto u f (𝓝 a) ↔ ∀ ε > 0, ∀ᶠ x in f, u x ∈ Icc (a - ε) (a + ε) := by simp only [nhds_of_ne_top ha, tendsto_iInf, tendsto_principal] #align ennreal.tendsto_nhds ENNReal.tendsto_nhds protected theorem tendsto_nhds_zero {f : Filter α} {u : α → ℝ≥0∞} : Tendsto u f (𝓝 0) ↔ ∀ ε > 0, ∀ᶠ x in f, u x ≤ ε := nhds_zero_basis_Iic.tendsto_right_iff #align ennreal.tendsto_nhds_zero ENNReal.tendsto_nhds_zero protected theorem tendsto_atTop [Nonempty β] [SemilatticeSup β] {f : β → ℝ≥0∞} {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto f atTop (𝓝 a) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, f n ∈ Icc (a - ε) (a + ε) := .trans (atTop_basis.tendsto_iff (hasBasis_nhds_of_ne_top ha)) (by simp only [true_and]; rfl) #align ennreal.tendsto_at_top ENNReal.tendsto_atTop instance : ContinuousAdd ℝ≥0∞ := by refine ⟨continuous_iff_continuousAt.2 ?_⟩ rintro ⟨_ | a, b⟩ · exact tendsto_nhds_top_mono' continuousAt_fst fun p => le_add_right le_rfl rcases b with (_ | b) · exact tendsto_nhds_top_mono' continuousAt_snd fun p => le_add_left le_rfl simp only [ContinuousAt, some_eq_coe, nhds_coe_coe, ← coe_add, tendsto_map'_iff, (· ∘ ·), tendsto_coe, tendsto_add] protected theorem tendsto_atTop_zero [Nonempty β] [SemilatticeSup β] {f : β → ℝ≥0∞} : Tendsto f atTop (𝓝 0) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, f n ≤ ε := .trans (atTop_basis.tendsto_iff nhds_zero_basis_Iic) (by simp only [true_and]; rfl) #align ennreal.tendsto_at_top_zero ENNReal.tendsto_atTop_zero theorem tendsto_sub : ∀ {a b : ℝ≥0∞}, (a ≠ ∞ ∨ b ≠ ∞) → Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 - p.2) (𝓝 (a, b)) (𝓝 (a - b)) | ∞, ∞, h => by simp only [ne_eq, not_true_eq_false, or_self] at h | ∞, (b : ℝ≥0), _ => by rw [top_sub_coe, tendsto_nhds_top_iff_nnreal] refine fun x => ((lt_mem_nhds <| @coe_lt_top (b + 1 + x)).prod_nhds (ge_mem_nhds <| coe_lt_coe.2 <| lt_add_one b)).mono fun y hy => ?_ rw [lt_tsub_iff_left] calc y.2 + x ≤ ↑(b + 1) + x := add_le_add_right hy.2 _ _ < y.1 := hy.1 | (a : ℝ≥0), ∞, _ => by rw [sub_top] refine (tendsto_pure.2 ?_).mono_right (pure_le_nhds _) exact ((gt_mem_nhds <| coe_lt_coe.2 <| lt_add_one a).prod_nhds (lt_mem_nhds <| @coe_lt_top (a + 1))).mono fun x hx => tsub_eq_zero_iff_le.2 (hx.1.trans hx.2).le | (a : ℝ≥0), (b : ℝ≥0), _ => by simp only [nhds_coe_coe, tendsto_map'_iff, ← ENNReal.coe_sub, (· ∘ ·), tendsto_coe] exact continuous_sub.tendsto (a, b) #align ennreal.tendsto_sub ENNReal.tendsto_sub protected theorem Tendsto.sub {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞} (hma : Tendsto ma f (𝓝 a)) (hmb : Tendsto mb f (𝓝 b)) (h : a ≠ ∞ ∨ b ≠ ∞) : Tendsto (fun a => ma a - mb a) f (𝓝 (a - b)) := show Tendsto ((fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 - p.2) ∘ fun a => (ma a, mb a)) f (𝓝 (a - b)) from Tendsto.comp (ENNReal.tendsto_sub h) (hma.prod_mk_nhds hmb) #align ennreal.tendsto.sub ENNReal.Tendsto.sub protected theorem tendsto_mul (ha : a ≠ 0 ∨ b ≠ ∞) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) (𝓝 (a, b)) (𝓝 (a * b)) := by have ht : ∀ b : ℝ≥0∞, b ≠ 0 → Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) (𝓝 (∞, b)) (𝓝 ∞) := fun b hb => by refine tendsto_nhds_top_iff_nnreal.2 fun n => ?_ rcases lt_iff_exists_nnreal_btwn.1 (pos_iff_ne_zero.2 hb) with ⟨ε, hε, hεb⟩ have : ∀ᶠ c : ℝ≥0∞ × ℝ≥0∞ in 𝓝 (∞, b), ↑n / ↑ε < c.1 ∧ ↑ε < c.2 := (lt_mem_nhds <| div_lt_top coe_ne_top hε.ne').prod_nhds (lt_mem_nhds hεb) refine this.mono fun c hc => ?_ exact (ENNReal.div_mul_cancel hε.ne' coe_ne_top).symm.trans_lt (mul_lt_mul hc.1 hc.2) induction a with | top => simp only [ne_eq, or_false, not_true_eq_false] at hb; simp [ht b hb, top_mul hb] | coe a => induction b with | top => simp only [ne_eq, or_false, not_true_eq_false] at ha simpa [(· ∘ ·), mul_comm, mul_top ha] using (ht a ha).comp (continuous_swap.tendsto (ofNNReal a, ∞)) | coe b => simp only [nhds_coe_coe, ← coe_mul, tendsto_coe, tendsto_map'_iff, (· ∘ ·), tendsto_mul] #align ennreal.tendsto_mul ENNReal.tendsto_mul protected theorem Tendsto.mul {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞} (hma : Tendsto ma f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ ∞) (hmb : Tendsto mb f (𝓝 b)) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun a => ma a * mb a) f (𝓝 (a * b)) := show Tendsto ((fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) ∘ fun a => (ma a, mb a)) f (𝓝 (a * b)) from Tendsto.comp (ENNReal.tendsto_mul ha hb) (hma.prod_mk_nhds hmb) #align ennreal.tendsto.mul ENNReal.Tendsto.mul theorem _root_.ContinuousOn.ennreal_mul [TopologicalSpace α] {f g : α → ℝ≥0∞} {s : Set α} (hf : ContinuousOn f s) (hg : ContinuousOn g s) (h₁ : ∀ x ∈ s, f x ≠ 0 ∨ g x ≠ ∞) (h₂ : ∀ x ∈ s, g x ≠ 0 ∨ f x ≠ ∞) : ContinuousOn (fun x => f x * g x) s := fun x hx => ENNReal.Tendsto.mul (hf x hx) (h₁ x hx) (hg x hx) (h₂ x hx) #align continuous_on.ennreal_mul ContinuousOn.ennreal_mul theorem _root_.Continuous.ennreal_mul [TopologicalSpace α] {f g : α → ℝ≥0∞} (hf : Continuous f) (hg : Continuous g) (h₁ : ∀ x, f x ≠ 0 ∨ g x ≠ ∞) (h₂ : ∀ x, g x ≠ 0 ∨ f x ≠ ∞) : Continuous fun x => f x * g x := continuous_iff_continuousAt.2 fun x => ENNReal.Tendsto.mul hf.continuousAt (h₁ x) hg.continuousAt (h₂ x) #align continuous.ennreal_mul Continuous.ennreal_mul protected theorem Tendsto.const_mul {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞} (hm : Tendsto m f (𝓝 b)) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun b => a * m b) f (𝓝 (a * b)) := by_cases (fun (this : a = 0) => by simp [this, tendsto_const_nhds]) fun ha : a ≠ 0 => ENNReal.Tendsto.mul tendsto_const_nhds (Or.inl ha) hm hb #align ennreal.tendsto.const_mul ENNReal.Tendsto.const_mul protected theorem Tendsto.mul_const {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞} (hm : Tendsto m f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ ∞) : Tendsto (fun x => m x * b) f (𝓝 (a * b)) := by simpa only [mul_comm] using ENNReal.Tendsto.const_mul hm ha #align ennreal.tendsto.mul_const ENNReal.Tendsto.mul_const theorem tendsto_finset_prod_of_ne_top {ι : Type*} {f : ι → α → ℝ≥0∞} {x : Filter α} {a : ι → ℝ≥0∞} (s : Finset ι) (h : ∀ i ∈ s, Tendsto (f i) x (𝓝 (a i))) (h' : ∀ i ∈ s, a i ≠ ∞) : Tendsto (fun b => ∏ c ∈ s, f c b) x (𝓝 (∏ c ∈ s, a c)) := by induction' s using Finset.induction with a s has IH · simp [tendsto_const_nhds] simp only [Finset.prod_insert has] apply Tendsto.mul (h _ (Finset.mem_insert_self _ _)) · right exact (prod_lt_top fun i hi => h' _ (Finset.mem_insert_of_mem hi)).ne · exact IH (fun i hi => h _ (Finset.mem_insert_of_mem hi)) fun i hi => h' _ (Finset.mem_insert_of_mem hi) · exact Or.inr (h' _ (Finset.mem_insert_self _ _)) #align ennreal.tendsto_finset_prod_of_ne_top ENNReal.tendsto_finset_prod_of_ne_top protected theorem continuousAt_const_mul {a b : ℝ≥0∞} (h : a ≠ ∞ ∨ b ≠ 0) : ContinuousAt (a * ·) b := Tendsto.const_mul tendsto_id h.symm #align ennreal.continuous_at_const_mul ENNReal.continuousAt_const_mul protected theorem continuousAt_mul_const {a b : ℝ≥0∞} (h : a ≠ ∞ ∨ b ≠ 0) : ContinuousAt (fun x => x * a) b := Tendsto.mul_const tendsto_id h.symm #align ennreal.continuous_at_mul_const ENNReal.continuousAt_mul_const protected theorem continuous_const_mul {a : ℝ≥0∞} (ha : a ≠ ∞) : Continuous (a * ·) := continuous_iff_continuousAt.2 fun _ => ENNReal.continuousAt_const_mul (Or.inl ha) #align ennreal.continuous_const_mul ENNReal.continuous_const_mul protected theorem continuous_mul_const {a : ℝ≥0∞} (ha : a ≠ ∞) : Continuous fun x => x * a := continuous_iff_continuousAt.2 fun _ => ENNReal.continuousAt_mul_const (Or.inl ha) #align ennreal.continuous_mul_const ENNReal.continuous_mul_const protected theorem continuous_div_const (c : ℝ≥0∞) (c_ne_zero : c ≠ 0) : Continuous fun x : ℝ≥0∞ => x / c := by simp_rw [div_eq_mul_inv, continuous_iff_continuousAt] intro x exact ENNReal.continuousAt_mul_const (Or.intro_left _ (inv_ne_top.mpr c_ne_zero)) #align ennreal.continuous_div_const ENNReal.continuous_div_const @[continuity] theorem continuous_pow (n : ℕ) : Continuous fun a : ℝ≥0∞ => a ^ n := by induction' n with n IH · simp [continuous_const] simp_rw [pow_add, pow_one, continuous_iff_continuousAt] intro x refine ENNReal.Tendsto.mul (IH.tendsto _) ?_ tendsto_id ?_ <;> by_cases H : x = 0 · simp only [H, zero_ne_top, Ne, or_true_iff, not_false_iff] · exact Or.inl fun h => H (pow_eq_zero h) · simp only [H, pow_eq_top_iff, zero_ne_top, false_or_iff, eq_self_iff_true, not_true, Ne, not_false_iff, false_and_iff] · simp only [H, true_or_iff, Ne, not_false_iff] #align ennreal.continuous_pow ENNReal.continuous_pow theorem continuousOn_sub : ContinuousOn (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) { p : ℝ≥0∞ × ℝ≥0∞ | p ≠ ⟨∞, ∞⟩ } := by rw [ContinuousOn] rintro ⟨x, y⟩ hp simp only [Ne, Set.mem_setOf_eq, Prod.mk.inj_iff] at hp exact tendsto_nhdsWithin_of_tendsto_nhds (tendsto_sub (not_and_or.mp hp)) #align ennreal.continuous_on_sub ENNReal.continuousOn_sub theorem continuous_sub_left {a : ℝ≥0∞} (a_ne_top : a ≠ ∞) : Continuous (a - ·) := by change Continuous (Function.uncurry Sub.sub ∘ (a, ·)) refine continuousOn_sub.comp_continuous (Continuous.Prod.mk a) fun x => ?_ simp only [a_ne_top, Ne, mem_setOf_eq, Prod.mk.inj_iff, false_and_iff, not_false_iff] #align ennreal.continuous_sub_left ENNReal.continuous_sub_left theorem continuous_nnreal_sub {a : ℝ≥0} : Continuous fun x : ℝ≥0∞ => (a : ℝ≥0∞) - x := continuous_sub_left coe_ne_top #align ennreal.continuous_nnreal_sub ENNReal.continuous_nnreal_sub theorem continuousOn_sub_left (a : ℝ≥0∞) : ContinuousOn (a - ·) { x : ℝ≥0∞ | x ≠ ∞ } := by rw [show (fun x => a - x) = (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) ∘ fun x => ⟨a, x⟩ by rfl] apply ContinuousOn.comp continuousOn_sub (Continuous.continuousOn (Continuous.Prod.mk a)) rintro _ h (_ | _) exact h none_eq_top #align ennreal.continuous_on_sub_left ENNReal.continuousOn_sub_left theorem continuous_sub_right (a : ℝ≥0∞) : Continuous fun x : ℝ≥0∞ => x - a := by by_cases a_infty : a = ∞ · simp [a_infty, continuous_const] · rw [show (fun x => x - a) = (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) ∘ fun x => ⟨x, a⟩ by rfl] apply ContinuousOn.comp_continuous continuousOn_sub (continuous_id'.prod_mk continuous_const) intro x simp only [a_infty, Ne, mem_setOf_eq, Prod.mk.inj_iff, and_false_iff, not_false_iff] #align ennreal.continuous_sub_right ENNReal.continuous_sub_right protected theorem Tendsto.pow {f : Filter α} {m : α → ℝ≥0∞} {a : ℝ≥0∞} {n : ℕ} (hm : Tendsto m f (𝓝 a)) : Tendsto (fun x => m x ^ n) f (𝓝 (a ^ n)) := ((continuous_pow n).tendsto a).comp hm #align ennreal.tendsto.pow ENNReal.Tendsto.pow
Mathlib/Topology/Instances/ENNReal.lean
485
489
theorem le_of_forall_lt_one_mul_le {x y : ℝ≥0∞} (h : ∀ a < 1, a * x ≤ y) : x ≤ y := by
have : Tendsto (· * x) (𝓝[<] 1) (𝓝 (1 * x)) := (ENNReal.continuousAt_mul_const (Or.inr one_ne_zero)).mono_left inf_le_left rw [one_mul] at this exact le_of_tendsto this (eventually_nhdsWithin_iff.2 <| eventually_of_forall h)
import Mathlib.Data.List.Cycle import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.Perm.List #align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a" open Equiv Equiv.Perm List variable {α : Type*} namespace Equiv.Perm section Fintype variable [Fintype α] [DecidableEq α] (p : Equiv.Perm α) (x : α) def toList : List α := (List.range (cycleOf p x).support.card).map fun k => (p ^ k) x #align equiv.perm.to_list Equiv.Perm.toList @[simp] theorem toList_one : toList (1 : Perm α) x = [] := by simp [toList, cycleOf_one] #align equiv.perm.to_list_one Equiv.Perm.toList_one @[simp] theorem toList_eq_nil_iff {p : Perm α} {x} : toList p x = [] ↔ x ∉ p.support := by simp [toList] #align equiv.perm.to_list_eq_nil_iff Equiv.Perm.toList_eq_nil_iff @[simp] theorem length_toList : length (toList p x) = (cycleOf p x).support.card := by simp [toList] #align equiv.perm.length_to_list Equiv.Perm.length_toList theorem toList_ne_singleton (y : α) : toList p x ≠ [y] := by intro H simpa [card_support_ne_one] using congr_arg length H #align equiv.perm.to_list_ne_singleton Equiv.Perm.toList_ne_singleton theorem two_le_length_toList_iff_mem_support {p : Perm α} {x : α} : 2 ≤ length (toList p x) ↔ x ∈ p.support := by simp #align equiv.perm.two_le_length_to_list_iff_mem_support Equiv.Perm.two_le_length_toList_iff_mem_support theorem length_toList_pos_of_mem_support (h : x ∈ p.support) : 0 < length (toList p x) := zero_lt_two.trans_le (two_le_length_toList_iff_mem_support.mpr h) #align equiv.perm.length_to_list_pos_of_mem_support Equiv.Perm.length_toList_pos_of_mem_support theorem get_toList (n : ℕ) (hn : n < length (toList p x)) : (toList p x).get ⟨n, hn⟩ = (p ^ n) x := by simp [toList] theorem toList_get_zero (h : x ∈ p.support) : (toList p x).get ⟨0, (length_toList_pos_of_mem_support _ _ h)⟩ = x := by simp [toList] set_option linter.deprecated false in @[deprecated get_toList (since := "2024-05-08")] theorem nthLe_toList (n : ℕ) (hn : n < length (toList p x)) : (toList p x).nthLe n hn = (p ^ n) x := by simp [toList] #align equiv.perm.nth_le_to_list Equiv.Perm.nthLe_toList set_option linter.deprecated false in @[deprecated toList_get_zero (since := "2024-05-08")] theorem toList_nthLe_zero (h : x ∈ p.support) : (toList p x).nthLe 0 (length_toList_pos_of_mem_support _ _ h) = x := by simp [toList] #align equiv.perm.to_list_nth_le_zero Equiv.Perm.toList_nthLe_zero variable {p} {x} theorem mem_toList_iff {y : α} : y ∈ toList p x ↔ SameCycle p x y ∧ x ∈ p.support := by simp only [toList, mem_range, mem_map] constructor · rintro ⟨n, hx, rfl⟩ refine ⟨⟨n, rfl⟩, ?_⟩ contrapose! hx rw [← support_cycleOf_eq_nil_iff] at hx simp [hx] · rintro ⟨h, hx⟩ simpa using h.exists_pow_eq_of_mem_support hx #align equiv.perm.mem_to_list_iff Equiv.Perm.mem_toList_iff set_option linter.deprecated false in theorem nodup_toList (p : Perm α) (x : α) : Nodup (toList p x) := by by_cases hx : p x = x · rw [← not_mem_support, ← toList_eq_nil_iff] at hx simp [hx] have hc : IsCycle (cycleOf p x) := isCycle_cycleOf p hx rw [nodup_iff_nthLe_inj] rintro n m hn hm rw [length_toList, ← hc.orderOf] at hm hn rw [← cycleOf_apply_self, ← Ne, ← mem_support] at hx rw [nthLe_toList, nthLe_toList, ← cycleOf_pow_apply_self p x n, ← cycleOf_pow_apply_self p x m] cases' n with n <;> cases' m with m · simp · rw [← hc.support_pow_of_pos_of_lt_orderOf m.zero_lt_succ hm, mem_support, cycleOf_pow_apply_self] at hx simp [hx.symm] · rw [← hc.support_pow_of_pos_of_lt_orderOf n.zero_lt_succ hn, mem_support, cycleOf_pow_apply_self] at hx simp [hx] intro h have hn' : ¬orderOf (p.cycleOf x) ∣ n.succ := Nat.not_dvd_of_pos_of_lt n.zero_lt_succ hn have hm' : ¬orderOf (p.cycleOf x) ∣ m.succ := Nat.not_dvd_of_pos_of_lt m.zero_lt_succ hm rw [← hc.support_pow_eq_iff] at hn' hm' rw [← Nat.mod_eq_of_lt hn, ← Nat.mod_eq_of_lt hm, ← pow_inj_mod] refine support_congr ?_ ?_ · rw [hm', hn'] · rw [hm'] intro y hy obtain ⟨k, rfl⟩ := hc.exists_pow_eq (mem_support.mp hx) (mem_support.mp hy) rw [← mul_apply, (Commute.pow_pow_self _ _ _).eq, mul_apply, h, ← mul_apply, ← mul_apply, (Commute.pow_pow_self _ _ _).eq] #align equiv.perm.nodup_to_list Equiv.Perm.nodup_toList set_option linter.deprecated false in theorem next_toList_eq_apply (p : Perm α) (x y : α) (hy : y ∈ toList p x) : next (toList p x) y hy = p y := by rw [mem_toList_iff] at hy obtain ⟨k, hk, hk'⟩ := hy.left.exists_pow_eq_of_mem_support hy.right rw [← nthLe_toList p x k (by simpa using hk)] at hk' simp_rw [← hk'] rw [next_nthLe _ (nodup_toList _ _), nthLe_toList, nthLe_toList, ← mul_apply, ← pow_succ', length_toList, ← pow_mod_orderOf_cycleOf_apply p (k + 1), IsCycle.orderOf] exact isCycle_cycleOf _ (mem_support.mp hy.right) #align equiv.perm.next_to_list_eq_apply Equiv.Perm.next_toList_eq_apply set_option linter.deprecated false in theorem toList_pow_apply_eq_rotate (p : Perm α) (x : α) (k : ℕ) : p.toList ((p ^ k) x) = (p.toList x).rotate k := by apply ext_nthLe · simp only [length_toList, cycleOf_self_apply_pow, length_rotate] · intro n hn hn' rw [nthLe_toList, nthLe_rotate, nthLe_toList, length_toList, pow_mod_card_support_cycleOf_self_apply, pow_add, mul_apply] #align equiv.perm.to_list_pow_apply_eq_rotate Equiv.Perm.toList_pow_apply_eq_rotate theorem SameCycle.toList_isRotated {f : Perm α} {x y : α} (h : SameCycle f x y) : toList f x ~r toList f y := by by_cases hx : x ∈ f.support · obtain ⟨_ | k, _, hy⟩ := h.exists_pow_eq_of_mem_support hx · simp only [coe_one, id, pow_zero, Nat.zero_eq] at hy -- Porting note: added `IsRotated.refl` simp [hy, IsRotated.refl] use k.succ rw [← toList_pow_apply_eq_rotate, hy] · rw [toList_eq_nil_iff.mpr hx, isRotated_nil_iff', eq_comm, toList_eq_nil_iff] rwa [← h.mem_support_iff] #align equiv.perm.same_cycle.to_list_is_rotated Equiv.Perm.SameCycle.toList_isRotated theorem pow_apply_mem_toList_iff_mem_support {n : ℕ} : (p ^ n) x ∈ p.toList x ↔ x ∈ p.support := by rw [mem_toList_iff, and_iff_right_iff_imp] refine fun _ => SameCycle.symm ?_ rw [sameCycle_pow_left] #align equiv.perm.pow_apply_mem_to_list_iff_mem_support Equiv.Perm.pow_apply_mem_toList_iff_mem_support theorem toList_formPerm_nil (x : α) : toList (formPerm ([] : List α)) x = [] := by simp #align equiv.perm.to_list_form_perm_nil Equiv.Perm.toList_formPerm_nil
Mathlib/GroupTheory/Perm/Cycle/Concrete.lean
355
355
theorem toList_formPerm_singleton (x y : α) : toList (formPerm [x]) y = [] := by
simp
import Mathlib.Order.RelClasses #align_import data.sigma.lex from "leanprover-community/mathlib"@"41cf0cc2f528dd40a8f2db167ea4fb37b8fde7f3" namespace Sigma variable {ι : Type*} {α : ι → Type*} {r r₁ r₂ : ι → ι → Prop} {s s₁ s₂ : ∀ i, α i → α i → Prop} {a b : Σ i, α i} inductive Lex (r : ι → ι → Prop) (s : ∀ i, α i → α i → Prop) : ∀ _ _ : Σ i, α i, Prop | left {i j : ι} (a : α i) (b : α j) : r i j → Lex r s ⟨i, a⟩ ⟨j, b⟩ | right {i : ι} (a b : α i) : s i a b → Lex r s ⟨i, a⟩ ⟨i, b⟩ #align sigma.lex Sigma.Lex theorem lex_iff : Lex r s a b ↔ r a.1 b.1 ∨ ∃ h : a.1 = b.1, s b.1 (h.rec a.2) b.2 := by constructor · rintro (⟨a, b, hij⟩ | ⟨a, b, hab⟩) · exact Or.inl hij · exact Or.inr ⟨rfl, hab⟩ · obtain ⟨i, a⟩ := a obtain ⟨j, b⟩ := b dsimp only rintro (h | ⟨rfl, h⟩) · exact Lex.left _ _ h · exact Lex.right _ _ h #align sigma.lex_iff Sigma.lex_iff instance Lex.decidable (r : ι → ι → Prop) (s : ∀ i, α i → α i → Prop) [DecidableEq ι] [DecidableRel r] [∀ i, DecidableRel (s i)] : DecidableRel (Lex r s) := fun _ _ => decidable_of_decidable_of_iff lex_iff.symm #align sigma.lex.decidable Sigma.Lex.decidable
Mathlib/Data/Sigma/Lex.lean
63
67
theorem Lex.mono (hr : ∀ a b, r₁ a b → r₂ a b) (hs : ∀ i a b, s₁ i a b → s₂ i a b) {a b : Σ i, α i} (h : Lex r₁ s₁ a b) : Lex r₂ s₂ a b := by
obtain ⟨a, b, hij⟩ | ⟨a, b, hab⟩ := h · exact Lex.left _ _ (hr _ _ hij) · exact Lex.right _ _ (hs _ _ _ hab)
import Batteries.Data.Rat.Basic import Batteries.Tactic.SeqFocus namespace Rat theorem ext : {p q : Rat} → p.num = q.num → p.den = q.den → p = q | ⟨_,_,_,_⟩, ⟨_,_,_,_⟩, rfl, rfl => rfl @[simp] theorem mk_den_one {r : Int} : ⟨r, 1, Nat.one_ne_zero, (Nat.coprime_one_right _)⟩ = (r : Rat) := rfl @[simp] theorem zero_num : (0 : Rat).num = 0 := rfl @[simp] theorem zero_den : (0 : Rat).den = 1 := rfl @[simp] theorem one_num : (1 : Rat).num = 1 := rfl @[simp] theorem one_den : (1 : Rat).den = 1 := rfl @[simp] theorem maybeNormalize_eq {num den g} (den_nz reduced) : maybeNormalize num den g den_nz reduced = { num := num.div g, den := den / g, den_nz, reduced } := by unfold maybeNormalize; split · subst g; simp · rfl theorem normalize.reduced' {num : Int} {den g : Nat} (den_nz : den ≠ 0) (e : g = num.natAbs.gcd den) : (num / g).natAbs.Coprime (den / g) := by rw [← Int.div_eq_ediv_of_dvd (e ▸ Int.ofNat_dvd_left.2 (Nat.gcd_dvd_left ..))] exact normalize.reduced den_nz e theorem normalize_eq {num den} (den_nz) : normalize num den den_nz = { num := num / num.natAbs.gcd den den := den / num.natAbs.gcd den den_nz := normalize.den_nz den_nz rfl reduced := normalize.reduced' den_nz rfl } := by simp only [normalize, maybeNormalize_eq, Int.div_eq_ediv_of_dvd (Int.ofNat_dvd_left.2 (Nat.gcd_dvd_left ..))] @[simp] theorem normalize_zero (nz) : normalize 0 d nz = 0 := by simp [normalize, Int.zero_div, Int.natAbs_zero, Nat.div_self (Nat.pos_of_ne_zero nz)]; rfl theorem mk_eq_normalize (num den nz c) : ⟨num, den, nz, c⟩ = normalize num den nz := by simp [normalize_eq, c.gcd_eq_one] theorem normalize_self (r : Rat) : normalize r.num r.den r.den_nz = r := (mk_eq_normalize ..).symm theorem normalize_mul_left {a : Nat} (d0 : d ≠ 0) (a0 : a ≠ 0) : normalize (↑a * n) (a * d) (Nat.mul_ne_zero a0 d0) = normalize n d d0 := by simp [normalize_eq, mk'.injEq, Int.natAbs_mul, Nat.gcd_mul_left, Nat.mul_div_mul_left _ _ (Nat.pos_of_ne_zero a0), Int.ofNat_mul, Int.mul_ediv_mul_of_pos _ _ (Int.ofNat_pos.2 <| Nat.pos_of_ne_zero a0)] theorem normalize_mul_right {a : Nat} (d0 : d ≠ 0) (a0 : a ≠ 0) : normalize (n * a) (d * a) (Nat.mul_ne_zero d0 a0) = normalize n d d0 := by rw [← normalize_mul_left (d0 := d0) a0]; congr 1 <;> [apply Int.mul_comm; apply Nat.mul_comm] theorem normalize_eq_iff (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) : normalize n₁ d₁ z₁ = normalize n₂ d₂ z₂ ↔ n₁ * d₂ = n₂ * d₁ := by constructor <;> intro h · simp only [normalize_eq, mk'.injEq] at h have' hn₁ := Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left n₁.natAbs d₁ have' hn₂ := Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left n₂.natAbs d₂ have' hd₁ := Int.ofNat_dvd.2 <| Nat.gcd_dvd_right n₁.natAbs d₁ have' hd₂ := Int.ofNat_dvd.2 <| Nat.gcd_dvd_right n₂.natAbs d₂ rw [← Int.ediv_mul_cancel (Int.dvd_trans hd₂ (Int.dvd_mul_left ..)), Int.mul_ediv_assoc _ hd₂, ← Int.ofNat_ediv, ← h.2, Int.ofNat_ediv, ← Int.mul_ediv_assoc _ hd₁, Int.mul_ediv_assoc' _ hn₁, Int.mul_right_comm, h.1, Int.ediv_mul_cancel hn₂] · rw [← normalize_mul_right _ z₂, ← normalize_mul_left z₂ z₁, Int.mul_comm d₁, h] theorem maybeNormalize_eq_normalize {num : Int} {den g : Nat} (den_nz reduced) (hn : ↑g ∣ num) (hd : g ∣ den) : maybeNormalize num den g den_nz reduced = normalize num den (mt (by simp [·]) den_nz) := by simp only [maybeNormalize_eq, mk_eq_normalize, Int.div_eq_ediv_of_dvd hn] have : g ≠ 0 := mt (by simp [·]) den_nz rw [← normalize_mul_right _ this, Int.ediv_mul_cancel hn] congr 1; exact Nat.div_mul_cancel hd @[simp] theorem normalize_eq_zero (d0 : d ≠ 0) : normalize n d d0 = 0 ↔ n = 0 := by have' := normalize_eq_iff d0 Nat.one_ne_zero rw [normalize_zero (d := 1)] at this; rw [this]; simp theorem normalize_num_den' (num den nz) : ∃ d : Nat, d ≠ 0 ∧ num = (normalize num den nz).num * d ∧ den = (normalize num den nz).den * d := by refine ⟨num.natAbs.gcd den, Nat.gcd_ne_zero_right nz, ?_⟩ simp [normalize_eq, Int.ediv_mul_cancel (Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..), Nat.div_mul_cancel (Nat.gcd_dvd_right ..)] theorem normalize_num_den (h : normalize n d z = ⟨n', d', z', c⟩) : ∃ m : Nat, m ≠ 0 ∧ n = n' * m ∧ d = d' * m := by have := normalize_num_den' n d z; rwa [h] at this theorem normalize_eq_mkRat {num den} (den_nz) : normalize num den den_nz = mkRat num den := by simp [mkRat, den_nz] theorem mkRat_num_den (z : d ≠ 0) (h : mkRat n d = ⟨n', d', z', c⟩) : ∃ m : Nat, m ≠ 0 ∧ n = n' * m ∧ d = d' * m := normalize_num_den ((normalize_eq_mkRat z).symm ▸ h) theorem mkRat_def (n d) : mkRat n d = if d0 : d = 0 then 0 else normalize n d d0 := rfl theorem mkRat_self (a : Rat) : mkRat a.num a.den = a := by rw [← normalize_eq_mkRat a.den_nz, normalize_self] theorem mk_eq_mkRat (num den nz c) : ⟨num, den, nz, c⟩ = mkRat num den := by simp [mk_eq_normalize, normalize_eq_mkRat] @[simp] theorem zero_mkRat (n) : mkRat 0 n = 0 := by simp [mkRat_def] @[simp] theorem mkRat_zero (n) : mkRat n 0 = 0 := by simp [mkRat_def] theorem mkRat_eq_zero (d0 : d ≠ 0) : mkRat n d = 0 ↔ n = 0 := by simp [mkRat_def, d0] theorem mkRat_ne_zero (d0 : d ≠ 0) : mkRat n d ≠ 0 ↔ n ≠ 0 := not_congr (mkRat_eq_zero d0) theorem mkRat_mul_left {a : Nat} (a0 : a ≠ 0) : mkRat (↑a * n) (a * d) = mkRat n d := by if d0 : d = 0 then simp [d0] else rw [← normalize_eq_mkRat d0, ← normalize_mul_left d0 a0, normalize_eq_mkRat] theorem mkRat_mul_right {a : Nat} (a0 : a ≠ 0) : mkRat (n * a) (d * a) = mkRat n d := by rw [← mkRat_mul_left (d := d) a0]; congr 1 <;> [apply Int.mul_comm; apply Nat.mul_comm] theorem mkRat_eq_iff (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) : mkRat n₁ d₁ = mkRat n₂ d₂ ↔ n₁ * d₂ = n₂ * d₁ := by rw [← normalize_eq_mkRat z₁, ← normalize_eq_mkRat z₂, normalize_eq_iff] @[simp] theorem divInt_ofNat (num den) : num /. (den : Nat) = mkRat num den := by simp [divInt, normalize_eq_mkRat] theorem mk_eq_divInt (num den nz c) : ⟨num, den, nz, c⟩ = num /. (den : Nat) := by simp [mk_eq_mkRat] theorem divInt_self (a : Rat) : a.num /. a.den = a := by rw [divInt_ofNat, mkRat_self] @[simp] theorem zero_divInt (n) : 0 /. n = 0 := by cases n <;> simp [divInt] @[simp] theorem divInt_zero (n) : n /. 0 = 0 := mkRat_zero n theorem neg_divInt_neg (num den) : -num /. -den = num /. den := by match den with | Nat.succ n => simp only [divInt, Int.neg_ofNat_succ] simp [normalize_eq_mkRat, Int.neg_neg] | 0 => rfl | Int.negSucc n => simp only [divInt, Int.neg_negSucc] simp [normalize_eq_mkRat, Int.neg_neg] theorem divInt_neg' (num den) : num /. -den = -num /. den := by rw [← neg_divInt_neg, Int.neg_neg] theorem divInt_eq_iff (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) : n₁ /. d₁ = n₂ /. d₂ ↔ n₁ * d₂ = n₂ * d₁ := by rcases Int.eq_nat_or_neg d₁ with ⟨_, rfl | rfl⟩ <;> rcases Int.eq_nat_or_neg d₂ with ⟨_, rfl | rfl⟩ <;> simp_all [divInt_neg', Int.ofNat_eq_zero, Int.neg_eq_zero, mkRat_eq_iff, Int.neg_mul, Int.mul_neg, Int.eq_neg_comm, eq_comm] theorem divInt_mul_left {a : Int} (a0 : a ≠ 0) : (a * n) /. (a * d) = n /. d := by if d0 : d = 0 then simp [d0] else simp [divInt_eq_iff (Int.mul_ne_zero a0 d0) d0, Int.mul_assoc, Int.mul_left_comm] theorem divInt_mul_right {a : Int} (a0 : a ≠ 0) : (n * a) /. (d * a) = n /. d := by simp [← divInt_mul_left (d := d) a0, Int.mul_comm] theorem divInt_num_den (z : d ≠ 0) (h : n /. d = ⟨n', d', z', c⟩) : ∃ m, m ≠ 0 ∧ n = n' * m ∧ d = d' * m := by rcases Int.eq_nat_or_neg d with ⟨_, rfl | rfl⟩ <;> simp_all [divInt_neg', Int.ofNat_eq_zero, Int.neg_eq_zero] · have ⟨m, h₁, h₂⟩ := mkRat_num_den z h; exists m simp [Int.ofNat_eq_zero, Int.ofNat_mul, h₁, h₂] · have ⟨m, h₁, h₂⟩ := mkRat_num_den z h; exists -m rw [← Int.neg_inj, Int.neg_neg] at h₂ simp [Int.ofNat_eq_zero, Int.ofNat_mul, h₁, h₂, Int.mul_neg, Int.neg_eq_zero] @[simp] theorem ofInt_ofNat : ofInt (OfNat.ofNat n) = OfNat.ofNat n := rfl @[simp] theorem ofInt_num : (ofInt n : Rat).num = n := rfl @[simp] theorem ofInt_den : (ofInt n : Rat).den = 1 := rfl @[simp] theorem ofNat_num : (OfNat.ofNat n : Rat).num = OfNat.ofNat n := rfl @[simp] theorem ofNat_den : (OfNat.ofNat n : Rat).den = 1 := rfl theorem add_def (a b : Rat) : a + b = normalize (a.num * b.den + b.num * a.den) (a.den * b.den) (Nat.mul_ne_zero a.den_nz b.den_nz) := by show Rat.add .. = _; delta Rat.add; dsimp only; split · exact (normalize_self _).symm · have : a.den.gcd b.den ≠ 0 := Nat.gcd_ne_zero_left a.den_nz rw [maybeNormalize_eq_normalize _ _ (Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..) (Nat.dvd_trans (Nat.gcd_dvd_right ..) <| Nat.dvd_trans (Nat.gcd_dvd_right ..) (Nat.dvd_mul_left ..)), ← normalize_mul_right _ this]; congr 1 · simp only [Int.add_mul, Int.mul_assoc, Int.ofNat_mul_ofNat, Nat.div_mul_cancel (Nat.gcd_dvd_left ..), Nat.div_mul_cancel (Nat.gcd_dvd_right ..)] · rw [Nat.mul_right_comm, Nat.div_mul_cancel (Nat.gcd_dvd_left ..)] theorem add_def' (a b : Rat) : a + b = mkRat (a.num * b.den + b.num * a.den) (a.den * b.den) := by rw [add_def, normalize_eq_mkRat] theorem normalize_add_normalize (n₁ n₂) {d₁ d₂} (z₁ z₂) : normalize n₁ d₁ z₁ + normalize n₂ d₂ z₂ = normalize (n₁ * d₂ + n₂ * d₁) (d₁ * d₂) (Nat.mul_ne_zero z₁ z₂) := by cases e₁ : normalize n₁ d₁ z₁; rcases normalize_num_den e₁ with ⟨g₁, zg₁, rfl, rfl⟩ cases e₂ : normalize n₂ d₂ z₂; rcases normalize_num_den e₂ with ⟨g₂, zg₂, rfl, rfl⟩ simp only [add_def]; rw [← normalize_mul_right _ (Nat.mul_ne_zero zg₁ zg₂)]; congr 1 · rw [Int.add_mul]; simp [Int.ofNat_mul, Int.mul_assoc, Int.mul_left_comm, Int.mul_comm] · simp [Nat.mul_left_comm, Nat.mul_comm] theorem mkRat_add_mkRat (n₁ n₂ : Int) {d₁ d₂} (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) : mkRat n₁ d₁ + mkRat n₂ d₂ = mkRat (n₁ * d₂ + n₂ * d₁) (d₁ * d₂) := by rw [← normalize_eq_mkRat z₁, ← normalize_eq_mkRat z₂, normalize_add_normalize, normalize_eq_mkRat] theorem divInt_add_divInt (n₁ n₂ : Int) {d₁ d₂} (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) : n₁ /. d₁ + n₂ /. d₂ = (n₁ * d₂ + n₂ * d₁) /. (d₁ * d₂) := by rcases Int.eq_nat_or_neg d₁ with ⟨_, rfl | rfl⟩ <;> rcases Int.eq_nat_or_neg d₂ with ⟨_, rfl | rfl⟩ <;> simp_all [-Int.natCast_mul, Int.ofNat_eq_zero, Int.neg_eq_zero, divInt_neg', Int.mul_neg, Int.ofNat_mul_ofNat, Int.neg_add, Int.neg_mul, mkRat_add_mkRat] @[simp] theorem neg_num (a : Rat) : (-a).num = -a.num := rfl @[simp] theorem neg_den (a : Rat) : (-a).den = a.den := rfl theorem neg_normalize (n d z) : -normalize n d z = normalize (-n) d z := by simp [normalize]; rfl theorem neg_mkRat (n d) : -mkRat n d = mkRat (-n) d := by if z : d = 0 then simp [z]; rfl else simp [← normalize_eq_mkRat z, neg_normalize]
.lake/packages/batteries/Batteries/Data/Rat/Lemmas.lean
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theorem neg_divInt (n d) : -(n /. d) = -n /. d := by
rcases Int.eq_nat_or_neg d with ⟨_, rfl | rfl⟩ <;> simp [divInt_neg', neg_mkRat]
import Mathlib.CategoryTheory.Limits.Shapes.SplitCoequalizer import Mathlib.CategoryTheory.Limits.Preserves.Basic #align_import category_theory.limits.preserves.shapes.equalizers from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba" noncomputable section universe w v₁ v₂ u₁ u₂ open CategoryTheory CategoryTheory.Category CategoryTheory.Limits variable {C : Type u₁} [Category.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] variable (G : C ⥤ D) namespace CategoryTheory.Limits section Coequalizers variable {X Y Z : C} {f g : X ⟶ Y} {h : Y ⟶ Z} (w : f ≫ h = g ≫ h) def isColimitMapCoconeCoforkEquiv : IsColimit (G.mapCocone (Cofork.ofπ h w)) ≃ IsColimit (Cofork.ofπ (G.map h) (by simp only [← G.map_comp, w]) : Cofork (G.map f) (G.map g)) := (IsColimit.precomposeInvEquiv (diagramIsoParallelPair _) _).symm.trans <| IsColimit.equivIsoColimit <| Cofork.ext (Iso.refl _) <| by dsimp only [Cofork.π, Cofork.ofπ_ι_app] dsimp; rw [Category.comp_id, Category.id_comp] #align category_theory.limits.is_colimit_map_cocone_cofork_equiv CategoryTheory.Limits.isColimitMapCoconeCoforkEquiv def isColimitCoforkMapOfIsColimit [PreservesColimit (parallelPair f g) G] (l : IsColimit (Cofork.ofπ h w)) : IsColimit (Cofork.ofπ (G.map h) (by simp only [← G.map_comp, w]) : Cofork (G.map f) (G.map g)) := isColimitMapCoconeCoforkEquiv G w (PreservesColimit.preserves l) #align category_theory.limits.is_colimit_cofork_map_of_is_colimit CategoryTheory.Limits.isColimitCoforkMapOfIsColimit def isColimitOfIsColimitCoforkMap [ReflectsColimit (parallelPair f g) G] (l : IsColimit (Cofork.ofπ (G.map h) (by simp only [← G.map_comp, w]) : Cofork (G.map f) (G.map g))) : IsColimit (Cofork.ofπ h w) := ReflectsColimit.reflects ((isColimitMapCoconeCoforkEquiv G w).symm l) #align category_theory.limits.is_colimit_of_is_colimit_cofork_map CategoryTheory.Limits.isColimitOfIsColimitCoforkMap variable (f g) [HasCoequalizer f g] def isColimitOfHasCoequalizerOfPreservesColimit [PreservesColimit (parallelPair f g) G] : IsColimit (Cofork.ofπ (G.map (coequalizer.π f g)) (by simp only [← G.map_comp]; rw [coequalizer.condition]) : Cofork (G.map f) (G.map g)) := isColimitCoforkMapOfIsColimit G _ (coequalizerIsCoequalizer f g) #align category_theory.limits.is_colimit_of_has_coequalizer_of_preserves_colimit CategoryTheory.Limits.isColimitOfHasCoequalizerOfPreservesColimit variable [HasCoequalizer (G.map f) (G.map g)] def ofIsoComparison [i : IsIso (coequalizerComparison f g G)] : PreservesColimit (parallelPair f g) G := by apply preservesColimitOfPreservesColimitCocone (coequalizerIsCoequalizer f g) apply (isColimitMapCoconeCoforkEquiv _ _).symm _ refine @IsColimit.ofPointIso _ _ _ _ _ _ _ (colimit.isColimit (parallelPair (G.map f) (G.map g))) ?_ apply i #align category_theory.limits.of_iso_comparison CategoryTheory.Limits.ofIsoComparison variable [PreservesColimit (parallelPair f g) G] def PreservesCoequalizer.iso : coequalizer (G.map f) (G.map g) ≅ G.obj (coequalizer f g) := IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (isColimitOfHasCoequalizerOfPreservesColimit G f g) #align category_theory.limits.preserves_coequalizer.iso CategoryTheory.Limits.PreservesCoequalizer.iso @[simp] theorem PreservesCoequalizer.iso_hom : (PreservesCoequalizer.iso G f g).hom = coequalizerComparison f g G := rfl #align category_theory.limits.preserves_coequalizer.iso_hom CategoryTheory.Limits.PreservesCoequalizer.iso_hom instance : IsIso (coequalizerComparison f g G) := by rw [← PreservesCoequalizer.iso_hom] infer_instance instance map_π_epi : Epi (G.map (coequalizer.π f g)) := ⟨fun {W} h k => by rw [← ι_comp_coequalizerComparison] haveI : Epi (coequalizer.π (G.map f) (G.map g) ≫ coequalizerComparison f g G) := by apply epi_comp apply (cancel_epi _).1⟩ #align category_theory.limits.map_π_epi CategoryTheory.Limits.map_π_epi @[reassoc] theorem map_π_preserves_coequalizer_inv : G.map (coequalizer.π f g) ≫ (PreservesCoequalizer.iso G f g).inv = coequalizer.π (G.map f) (G.map g) := by rw [← ι_comp_coequalizerComparison_assoc, ← PreservesCoequalizer.iso_hom, Iso.hom_inv_id, comp_id] #align category_theory.limits.map_π_preserves_coequalizer_inv CategoryTheory.Limits.map_π_preserves_coequalizer_inv @[reassoc] theorem map_π_preserves_coequalizer_inv_desc {W : D} (k : G.obj Y ⟶ W) (wk : G.map f ≫ k = G.map g ≫ k) : G.map (coequalizer.π f g) ≫ (PreservesCoequalizer.iso G f g).inv ≫ coequalizer.desc k wk = k := by rw [← Category.assoc, map_π_preserves_coequalizer_inv, coequalizer.π_desc] #align category_theory.limits.map_π_preserves_coequalizer_inv_desc CategoryTheory.Limits.map_π_preserves_coequalizer_inv_desc @[reassoc] theorem map_π_preserves_coequalizer_inv_colimMap {X' Y' : D} (f' g' : X' ⟶ Y') [HasCoequalizer f' g'] (p : G.obj X ⟶ X') (q : G.obj Y ⟶ Y') (wf : G.map f ≫ q = p ≫ f') (wg : G.map g ≫ q = p ≫ g') : G.map (coequalizer.π f g) ≫ (PreservesCoequalizer.iso G f g).inv ≫ colimMap (parallelPairHom (G.map f) (G.map g) f' g' p q wf wg) = q ≫ coequalizer.π f' g' := by rw [← Category.assoc, map_π_preserves_coequalizer_inv, ι_colimMap, parallelPairHom_app_one] #align category_theory.limits.map_π_preserves_coequalizer_inv_colim_map CategoryTheory.Limits.map_π_preserves_coequalizer_inv_colimMap @[reassoc]
Mathlib/CategoryTheory/Limits/Preserves/Shapes/Equalizers.lean
233
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theorem map_π_preserves_coequalizer_inv_colimMap_desc {X' Y' : D} (f' g' : X' ⟶ Y') [HasCoequalizer f' g'] (p : G.obj X ⟶ X') (q : G.obj Y ⟶ Y') (wf : G.map f ≫ q = p ≫ f') (wg : G.map g ≫ q = p ≫ g') {Z' : D} (h : Y' ⟶ Z') (wh : f' ≫ h = g' ≫ h) : G.map (coequalizer.π f g) ≫ (PreservesCoequalizer.iso G f g).inv ≫ colimMap (parallelPairHom (G.map f) (G.map g) f' g' p q wf wg) ≫ coequalizer.desc h wh = q ≫ h := by
slice_lhs 1 3 => rw [map_π_preserves_coequalizer_inv_colimMap] slice_lhs 2 3 => rw [coequalizer.π_desc]
import Mathlib.Analysis.SpecialFunctions.Gamma.Beta import Mathlib.NumberTheory.LSeries.HurwitzZeta import Mathlib.Analysis.Complex.RemovableSingularity import Mathlib.Analysis.PSeriesComplex #align_import number_theory.zeta_function from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf" open MeasureTheory Set Filter Asymptotics TopologicalSpace Real Asymptotics Classical HurwitzZeta open Complex hiding exp norm_eq_abs abs_of_nonneg abs_two continuous_exp open scoped Topology Real Nat noncomputable section def completedRiemannZeta₀ (s : ℂ) : ℂ := completedHurwitzZetaEven₀ 0 s #align riemann_completed_zeta₀ completedRiemannZeta₀ def completedRiemannZeta (s : ℂ) : ℂ := completedHurwitzZetaEven 0 s #align riemann_completed_zeta completedRiemannZeta lemma HurwitzZeta.completedHurwitzZetaEven_zero (s : ℂ) : completedHurwitzZetaEven 0 s = completedRiemannZeta s := rfl lemma HurwitzZeta.completedHurwitzZetaEven₀_zero (s : ℂ) : completedHurwitzZetaEven₀ 0 s = completedRiemannZeta₀ s := rfl lemma HurwitzZeta.completedCosZeta_zero (s : ℂ) : completedCosZeta 0 s = completedRiemannZeta s := by rw [completedRiemannZeta, completedHurwitzZetaEven, completedCosZeta, hurwitzEvenFEPair_zero_symm] lemma HurwitzZeta.completedCosZeta₀_zero (s : ℂ) : completedCosZeta₀ 0 s = completedRiemannZeta₀ s := by rw [completedRiemannZeta₀, completedHurwitzZetaEven₀, completedCosZeta₀, hurwitzEvenFEPair_zero_symm] lemma completedRiemannZeta_eq (s : ℂ) : completedRiemannZeta s = completedRiemannZeta₀ s - 1 / s - 1 / (1 - s) := by simp_rw [completedRiemannZeta, completedRiemannZeta₀, completedHurwitzZetaEven_eq, if_true] theorem differentiable_completedZeta₀ : Differentiable ℂ completedRiemannZeta₀ := differentiable_completedHurwitzZetaEven₀ 0 #align differentiable_completed_zeta₀ differentiable_completedZeta₀ theorem differentiableAt_completedZeta {s : ℂ} (hs : s ≠ 0) (hs' : s ≠ 1) : DifferentiableAt ℂ completedRiemannZeta s := differentiableAt_completedHurwitzZetaEven 0 (Or.inl hs) hs' theorem completedRiemannZeta₀_one_sub (s : ℂ) : completedRiemannZeta₀ (1 - s) = completedRiemannZeta₀ s := by rw [← completedHurwitzZetaEven₀_zero, ← completedCosZeta₀_zero, completedHurwitzZetaEven₀_one_sub] #align riemann_completed_zeta₀_one_sub completedRiemannZeta₀_one_sub theorem completedRiemannZeta_one_sub (s : ℂ) : completedRiemannZeta (1 - s) = completedRiemannZeta s := by rw [← completedHurwitzZetaEven_zero, ← completedCosZeta_zero, completedHurwitzZetaEven_one_sub] #align riemann_completed_zeta_one_sub completedRiemannZeta_one_sub lemma completedRiemannZeta_residue_one : Tendsto (fun s ↦ (s - 1) * completedRiemannZeta s) (𝓝[≠] 1) (𝓝 1) := completedHurwitzZetaEven_residue_one 0 def riemannZeta := hurwitzZetaEven 0 #align riemann_zeta riemannZeta lemma HurwitzZeta.hurwitzZetaEven_zero : hurwitzZetaEven 0 = riemannZeta := rfl lemma HurwitzZeta.cosZeta_zero : cosZeta 0 = riemannZeta := by simp_rw [cosZeta, riemannZeta, hurwitzZetaEven, if_true, completedHurwitzZetaEven_zero, completedCosZeta_zero] lemma HurwitzZeta.hurwitzZeta_zero : hurwitzZeta 0 = riemannZeta := by ext1 s simpa [hurwitzZeta, hurwitzZetaEven_zero] using hurwitzZetaOdd_neg 0 s lemma HurwitzZeta.expZeta_zero : expZeta 0 = riemannZeta := by ext1 s rw [expZeta, cosZeta_zero, add_right_eq_self, mul_eq_zero, eq_false_intro I_ne_zero, false_or, ← eq_neg_self_iff, ← sinZeta_neg, neg_zero] theorem differentiableAt_riemannZeta {s : ℂ} (hs' : s ≠ 1) : DifferentiableAt ℂ riemannZeta s := differentiableAt_hurwitzZetaEven _ hs' #align differentiable_at_riemann_zeta differentiableAt_riemannZeta theorem riemannZeta_zero : riemannZeta 0 = -1 / 2 := by simp_rw [riemannZeta, hurwitzZetaEven, Function.update_same, if_true] #align riemann_zeta_zero riemannZeta_zero lemma riemannZeta_def_of_ne_zero {s : ℂ} (hs : s ≠ 0) : riemannZeta s = completedRiemannZeta s / Gammaℝ s := by rw [riemannZeta, hurwitzZetaEven, Function.update_noteq hs, completedHurwitzZetaEven_zero] theorem riemannZeta_neg_two_mul_nat_add_one (n : ℕ) : riemannZeta (-2 * (n + 1)) = 0 := hurwitzZetaEven_neg_two_mul_nat_add_one 0 n #align riemann_zeta_neg_two_mul_nat_add_one riemannZeta_neg_two_mul_nat_add_one theorem riemannZeta_one_sub {s : ℂ} (hs : ∀ n : ℕ, s ≠ -n) (hs' : s ≠ 1) : riemannZeta (1 - s) = 2 * (2 * π) ^ (-s) * Gamma s * cos (π * s / 2) * riemannZeta s := by rw [riemannZeta, hurwitzZetaEven_one_sub 0 hs (Or.inr hs'), cosZeta_zero, hurwitzZetaEven_zero] #align riemann_zeta_one_sub riemannZeta_one_sub def RiemannHypothesis : Prop := ∀ (s : ℂ) (_ : riemannZeta s = 0) (_ : ¬∃ n : ℕ, s = -2 * (n + 1)) (_ : s ≠ 1), s.re = 1 / 2 #align riemann_hypothesis RiemannHypothesis theorem completedZeta_eq_tsum_of_one_lt_re {s : ℂ} (hs : 1 < re s) : completedRiemannZeta s = (π : ℂ) ^ (-s / 2) * Gamma (s / 2) * ∑' n : ℕ, 1 / (n : ℂ) ^ s := by have := (hasSum_nat_completedCosZeta 0 hs).tsum_eq.symm simp only [QuotientAddGroup.mk_zero, completedCosZeta_zero] at this simp only [this, Gammaℝ_def, mul_zero, zero_mul, Real.cos_zero, ofReal_one, mul_one, mul_one_div, ← tsum_mul_left] congr 1 with n split_ifs with h · simp only [h, Nat.cast_zero, zero_cpow (Complex.ne_zero_of_one_lt_re hs), div_zero] · rfl #align completed_zeta_eq_tsum_of_one_lt_re completedZeta_eq_tsum_of_one_lt_re
Mathlib/NumberTheory/LSeries/RiemannZeta.lean
195
198
theorem zeta_eq_tsum_one_div_nat_cpow {s : ℂ} (hs : 1 < re s) : riemannZeta s = ∑' n : ℕ, 1 / (n : ℂ) ^ s := by
simpa only [QuotientAddGroup.mk_zero, cosZeta_zero, mul_zero, zero_mul, Real.cos_zero, ofReal_one] using (hasSum_nat_cosZeta 0 hs).tsum_eq.symm
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Defs.Filter #align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" noncomputable section open Set Filter universe u v w x def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T) (sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T) (union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where IsOpen X := Xᶜ ∈ T isOpen_univ := by simp [empty_mem] isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht isOpen_sUnion s hs := by simp only [Set.compl_sUnion] exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy #align topological_space.of_closed TopologicalSpace.ofClosed section TopologicalSpace variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop} open Topology lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl #align is_open_mk isOpen_mk @[ext] protected theorem TopologicalSpace.ext : ∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align topological_space_eq TopologicalSpace.ext section variable [TopologicalSpace X] end protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} : t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s := ⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ #align topological_space_eq_iff TopologicalSpace.ext_iff theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s := rfl #align is_open_fold isOpen_fold variable [TopologicalSpace X] theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) := isOpen_sUnion (forall_mem_range.2 h) #align is_open_Union isOpen_iUnion theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋃ i ∈ s, f i) := isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi #align is_open_bUnion isOpen_biUnion theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩) #align is_open.union IsOpen.union lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) : IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩ rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter] exact isOpen_iUnion fun i ↦ h i @[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim #align is_open_empty isOpen_empty theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) : (∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) := Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by simp only [sInter_insert, forall_mem_insert] at h ⊢ exact h.1.inter (ih h.2) #align is_open_sInter Set.Finite.isOpen_sInter theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h) #align is_open_bInter Set.Finite.isOpen_biInter theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) : IsOpen (⋂ i, s i) := (finite_range _).isOpen_sInter (forall_mem_range.2 h) #align is_open_Inter isOpen_iInter_of_finite theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := s.finite_toSet.isOpen_biInter h #align is_open_bInter_finset isOpen_biInter_finset @[simp] -- Porting note: added `simp` theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*] #align is_open_const isOpen_const theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } := IsOpen.inter #align is_open.and IsOpen.and @[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s := ⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩ #align is_open_compl_iff isOpen_compl_iff theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} : t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by rw [TopologicalSpace.ext_iff, compl_surjective.forall] simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂] alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed -- Porting note (#10756): new lemma theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩ @[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const #align is_closed_empty isClosed_empty @[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const #align is_closed_univ isClosed_univ theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter #align is_closed.union IsClosed.union theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion #align is_closed_sInter isClosed_sInter theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) := isClosed_sInter <| forall_mem_range.2 h #align is_closed_Inter isClosed_iInter theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋂ i ∈ s, f i) := isClosed_iInter fun i => isClosed_iInter <| h i #align is_closed_bInter isClosed_biInter @[simp] theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by rw [← isOpen_compl_iff, compl_compl] #align is_closed_compl_iff isClosed_compl_iff alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff #align is_open.is_closed_compl IsOpen.isClosed_compl theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) := IsOpen.inter h₁ h₂.isOpen_compl #align is_open.sdiff IsOpen.sdiff theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by rw [← isOpen_compl_iff] at * rw [compl_inter] exact IsOpen.union h₁ h₂ #align is_closed.inter IsClosed.inter theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) := IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂) #align is_closed.sdiff IsClosed.sdiff theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact hs.isOpen_biInter h #align is_closed_bUnion Set.Finite.isClosed_biUnion lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := s.finite_toSet.isClosed_biUnion h theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) : IsClosed (⋃ i, s i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact isOpen_iInter_of_finite h #align is_closed_Union isClosed_iUnion_of_finite theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) : IsClosed { x | p x → q x } := by simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq #align is_closed_imp isClosed_imp theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } := isOpen_compl_iff.mpr #align is_closed.not IsClosed.not theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm] #align mem_interior mem_interiorₓ @[simp] theorem isOpen_interior : IsOpen (interior s) := isOpen_sUnion fun _ => And.left #align is_open_interior isOpen_interior theorem interior_subset : interior s ⊆ s := sUnion_subset fun _ => And.right #align interior_subset interior_subset theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s := subset_sUnion_of_mem ⟨h₂, h₁⟩ #align interior_maximal interior_maximal theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s := interior_subset.antisymm (interior_maximal (Subset.refl s) h) #align is_open.interior_eq IsOpen.interior_eq theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s := ⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩ #align interior_eq_iff_is_open interior_eq_iff_isOpen theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and] #align subset_interior_iff_is_open subset_interior_iff_isOpen theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t := ⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩ #align is_open.subset_interior_iff IsOpen.subset_interior_iff theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := ⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ => htU.trans (interior_maximal hUs hU)⟩ #align subset_interior_iff subset_interior_iff lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by simp [interior] @[mono, gcongr] theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t := interior_maximal (Subset.trans interior_subset h) isOpen_interior #align interior_mono interior_mono @[simp] theorem interior_empty : interior (∅ : Set X) = ∅ := isOpen_empty.interior_eq #align interior_empty interior_empty @[simp] theorem interior_univ : interior (univ : Set X) = univ := isOpen_univ.interior_eq #align interior_univ interior_univ @[simp] theorem interior_eq_univ : interior s = univ ↔ s = univ := ⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩ #align interior_eq_univ interior_eq_univ @[simp] theorem interior_interior : interior (interior s) = interior s := isOpen_interior.interior_eq #align interior_interior interior_interior @[simp] theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t := (Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <| interior_maximal (inter_subset_inter interior_subset interior_subset) <| isOpen_interior.inter isOpen_interior #align interior_inter interior_inter theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := hs.induction_on (by simp) <| by intros; simp [*] theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) : interior (⋂₀ S) = ⋂ s ∈ S, interior s := by rw [sInter_eq_biInter, hS.interior_biInter] @[simp] theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := s.finite_toSet.interior_biInter f #align finset.interior_Inter Finset.interior_iInter @[simp] theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) : interior (⋂ i, f i) = ⋂ i, interior (f i) := by rw [← sInter_range, (finite_range f).interior_sInter, biInter_range] #align interior_Inter interior_iInter_of_finite theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s := have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ => by_contradiction fun hx₂ : x ∉ s => have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂ have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff] have : u \ s ⊆ ∅ := by rwa [h₂] at this this ⟨hx₁, hx₂⟩ Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left) #align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by rw [← subset_interior_iff_isOpen] simp only [subset_def, mem_interior] #align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) := subset_iInter fun _ => interior_mono <| iInter_subset _ _ #align interior_Inter_subset interior_iInter_subset theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) : interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) := (interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _ #align interior_Inter₂_subset interior_iInter₂_subset theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s := calc interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter] _ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _ #align interior_sInter_subset interior_sInter_subset theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) := h.lift' fun _ _ ↦ interior_mono theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦ mem_of_superset (mem_lift' hs) interior_subset theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l := le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi @[simp] theorem isClosed_closure : IsClosed (closure s) := isClosed_sInter fun _ => And.left #align is_closed_closure isClosed_closure theorem subset_closure : s ⊆ closure s := subset_sInter fun _ => And.right #align subset_closure subset_closure theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align not_mem_of_not_mem_closure not_mem_of_not_mem_closure theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t := sInter_subset_of_mem ⟨h₂, h₁⟩ #align closure_minimal closure_minimal theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) : Disjoint (closure s) t := disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl #align disjoint.closure_left Disjoint.closure_left theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) : Disjoint s (closure t) := (hd.symm.closure_left hs).symm #align disjoint.closure_right Disjoint.closure_right theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s := Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure #align is_closed.closure_eq IsClosed.closure_eq theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s := closure_minimal (Subset.refl _) hs #align is_closed.closure_subset IsClosed.closure_subset theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t := ⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩ #align is_closed.closure_subset_iff IsClosed.closure_subset_iff theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) : x ∈ s ↔ closure ({x} : Set X) ⊆ s := (hs.closure_subset_iff.trans Set.singleton_subset_iff).symm #align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset @[mono, gcongr] theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t := closure_minimal (Subset.trans h subset_closure) isClosed_closure #align closure_mono closure_mono theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ => closure_mono #align monotone_closure monotone_closure theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure] #align diff_subset_closure_iff diff_subset_closure_iff theorem closure_inter_subset_inter_closure (s t : Set X) : closure (s ∩ t) ⊆ closure s ∩ closure t := (monotone_closure X).map_inf_le s t #align closure_inter_subset_inter_closure closure_inter_subset_inter_closure theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by rw [subset_closure.antisymm h]; exact isClosed_closure #align is_closed_of_closure_subset isClosed_of_closure_subset theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s := ⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩ #align closure_eq_iff_is_closed closure_eq_iff_isClosed theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s := ⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩ #align closure_subset_iff_is_closed closure_subset_iff_isClosed @[simp] theorem closure_empty : closure (∅ : Set X) = ∅ := isClosed_empty.closure_eq #align closure_empty closure_empty @[simp] theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ := ⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩ #align closure_empty_iff closure_empty_iff @[simp] theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff] #align closure_nonempty_iff closure_nonempty_iff alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff #align set.nonempty.of_closure Set.Nonempty.of_closure #align set.nonempty.closure Set.Nonempty.closure @[simp] theorem closure_univ : closure (univ : Set X) = univ := isClosed_univ.closure_eq #align closure_univ closure_univ @[simp] theorem closure_closure : closure (closure s) = closure s := isClosed_closure.closure_eq #align closure_closure closure_closure theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by rw [interior, closure, compl_sUnion, compl_image_set_of] simp only [compl_subset_compl, isOpen_compl_iff] #align closure_eq_compl_interior_compl closure_eq_compl_interior_compl @[simp] theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by simp [closure_eq_compl_interior_compl, compl_inter] #align closure_union closure_union theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by simp [closure_eq_compl_interior_compl, hs.interior_biInter] theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) : closure (⋃₀ S) = ⋃ s ∈ S, closure s := by rw [sUnion_eq_biUnion, hS.closure_biUnion] @[simp] theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := s.finite_toSet.closure_biUnion f #align finset.closure_bUnion Finset.closure_biUnion @[simp] theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) : closure (⋃ i, f i) = ⋃ i, closure (f i) := by rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range] #align closure_Union closure_iUnion_of_finite theorem interior_subset_closure : interior s ⊆ closure s := Subset.trans interior_subset subset_closure #align interior_subset_closure interior_subset_closure @[simp] theorem interior_compl : interior sᶜ = (closure s)ᶜ := by simp [closure_eq_compl_interior_compl] #align interior_compl interior_compl @[simp] theorem closure_compl : closure sᶜ = (interior s)ᶜ := by simp [closure_eq_compl_interior_compl] #align closure_compl closure_compl theorem mem_closure_iff : x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty := ⟨fun h o oo ao => by_contradiction fun os => have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩ closure_minimal this (isClosed_compl_iff.2 oo) h ao, fun H _ ⟨h₁, h₂⟩ => by_contradiction fun nc => let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc hc (h₂ hs)⟩ #align mem_closure_iff mem_closure_iff theorem closure_inter_open_nonempty_iff (h : IsOpen t) : (closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty := ⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h => h.mono <| inf_le_inf_right t subset_closure⟩ #align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure := le_lift'.2 fun _ h => mem_of_superset h subset_closure #align filter.le_lift'_closure Filter.le_lift'_closure theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) := h.lift' (monotone_closure X) #align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l := le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi)) l.le_lift'_closure #align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self @[simp] theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ := ⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h => h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩ #align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot theorem dense_iff_closure_eq : Dense s ↔ closure s = univ := eq_univ_iff_forall.symm #align dense_iff_closure_eq dense_iff_closure_eq alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq #align dense.closure_eq Dense.closure_eq theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by rw [dense_iff_closure_eq, closure_compl, compl_univ_iff] #align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ := interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl] #align dense.interior_compl Dense.interior_compl @[simp] theorem dense_closure : Dense (closure s) ↔ Dense s := by rw [Dense, Dense, closure_closure] #align dense_closure dense_closure protected alias ⟨_, Dense.closure⟩ := dense_closure alias ⟨Dense.of_closure, _⟩ := dense_closure #align dense.of_closure Dense.of_closure #align dense.closure Dense.closure @[simp] theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial #align dense_univ dense_univ theorem dense_iff_inter_open : Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by constructor <;> intro h · rintro U U_op ⟨x, x_in⟩ exact mem_closure_iff.1 (h _) U U_op x_in · intro x rw [mem_closure_iff] intro U U_op x_in exact h U U_op ⟨_, x_in⟩ #align dense_iff_inter_open dense_iff_inter_open alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open #align dense.inter_open_nonempty Dense.inter_open_nonempty theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U) (hne : U.Nonempty) : ∃ x ∈ s, x ∈ U := let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne ⟨x, hx.2, hx.1⟩ #align dense.exists_mem_open Dense.exists_mem_open theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X := ⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ => let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩ ⟨y, hy.2⟩⟩ #align dense.nonempty_iff Dense.nonempty_iff theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty := hs.nonempty_iff.2 h #align dense.nonempty Dense.nonempty @[mono] theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x => closure_mono h (hd x) #align dense.mono Dense.mono theorem dense_compl_singleton_iff_not_open : Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by constructor · intro hd ho exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) · refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_ obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩ exact ho hU #align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open @[simp] theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s := rfl #align closure_diff_interior closure_diff_interior lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq, ← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter] @[simp] theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure] #align closure_diff_frontier closure_diff_frontier @[simp] theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure, inter_eq_self_of_subset_right interior_subset, empty_union] #align self_diff_frontier self_diff_frontier theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by rw [closure_compl, frontier, diff_eq] #align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure theorem frontier_subset_closure : frontier s ⊆ closure s := diff_subset #align frontier_subset_closure frontier_subset_closure theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s := frontier_subset_closure.trans hs.closure_eq.subset #align is_closed.frontier_subset IsClosed.frontier_subset theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s := diff_subset_diff closure_closure.subset <| interior_mono subset_closure #align frontier_closure_subset frontier_closure_subset theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s := diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset #align frontier_interior_subset frontier_interior_subset @[simp] theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm] #align frontier_compl frontier_compl @[simp] theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier] #align frontier_univ frontier_univ @[simp] theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier] #align frontier_empty frontier_empty theorem frontier_inter_subset (s t : Set X) : frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union] refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_ simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc, inter_comm (closure t)] #align frontier_inter_subset frontier_inter_subset theorem frontier_union_subset (s t : Set X) : frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ #align frontier_union_subset frontier_union_subset theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by rw [frontier, hs.closure_eq] #align is_closed.frontier_eq IsClosed.frontier_eq theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by rw [frontier, hs.interior_eq] #align is_open.frontier_eq IsOpen.frontier_eq theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by rw [hs.frontier_eq, inter_diff_self] #align is_open.inter_frontier_eq IsOpen.inter_frontier_eq theorem isClosed_frontier : IsClosed (frontier s) := by rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure #align is_closed_frontier isClosed_frontier theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by have A : frontier s = s \ interior s := h.frontier_eq have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset have C : interior (frontier s) ⊆ frontier s := interior_subset have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) := subset_inter B (by simpa [A] using C) rwa [inter_diff_self, subset_empty_iff] at this #align interior_frontier interior_frontier theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s := (union_diff_cancel interior_subset_closure).symm #align closure_eq_interior_union_frontier closure_eq_interior_union_frontier theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s := (union_diff_cancel' interior_subset subset_closure).symm #align closure_eq_self_union_frontier closure_eq_self_union_frontier theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t := subset_compl_iff_disjoint_right.1 <| frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht #align disjoint.frontier_left Disjoint.frontier_left theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) := (hd.symm.frontier_left hs).symm #align disjoint.frontier_right Disjoint.frontier_right theorem frontier_eq_inter_compl_interior : frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior] #align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior theorem compl_frontier_eq_union_interior : (frontier s)ᶜ = interior s ∪ interior sᶜ := by rw [frontier_eq_inter_compl_interior] simp only [compl_inter, compl_compl] #align compl_frontier_eq_union_interior compl_frontier_eq_union_interior theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and] #align nhds_def' nhds_def' theorem nhds_basis_opens (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by rw [nhds_def] exact hasBasis_biInf_principal (fun s ⟨has, hs⟩ t ⟨hat, ht⟩ => ⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩) ⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩ #align nhds_basis_opens nhds_basis_opens theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl := ⟨fun t => (nhds_basis_opens x).mem_iff.trans <| compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩ #align nhds_basis_closeds nhds_basis_closeds @[simp] theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x := (nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) := lift'_nhds_interior x ▸ h.lift'_interior theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def] #align le_nhds_iff le_nhds_iff theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf #align nhds_le_of_le nhds_le_of_le theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := (nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ => ⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩ #align mem_nhds_iff mem_nhds_iffₓ theorem eventually_nhds_iff {p : X → Prop} : (∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t := mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq] #align eventually_nhds_iff eventually_nhds_iff theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x := mem_interior.trans mem_nhds_iff.symm #align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds theorem map_nhds {f : X → α} : map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) := ((nhds_basis_opens x).map f).eq_biInf #align map_nhds map_nhds theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H => let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs #align mem_of_mem_nhds mem_of_mem_nhds theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x := mem_of_mem_nhds h #align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x := mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩ #align is_open.mem_nhds IsOpen.mem_nhds protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s := ⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩ #align is_open.mem_nhds_iff IsOpen.mem_nhds_iff theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x := hs.isOpen_compl.mem_nhds (mem_compl hx) #align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) : ∀ᶠ x in 𝓝 x, x ∈ s := IsOpen.mem_nhds hs hx #align is_open.eventually_mem IsOpen.eventually_mem theorem nhds_basis_opens' (x : X) : (𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by convert nhds_basis_opens x using 2 exact and_congr_left_iff.2 IsOpen.mem_nhds_iff #align nhds_basis_opens' nhds_basis_opens' theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := ⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩ #align exists_open_set_nhds exists_open_set_nhds theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := exists_open_set_nhds (by simpa using h) #align exists_open_set_nhds' exists_open_set_nhds' theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : ∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x := let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩ #align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds @[simp] theorem eventually_eventually_nhds {p : X → Prop} : (∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x := ⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩ #align eventually_eventually_nhds eventually_eventually_nhds @[simp] theorem frequently_frequently_nhds {p : X → Prop} : (∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by rw [← not_iff_not] simp only [not_frequently, eventually_eventually_nhds] #align frequently_frequently_nhds frequently_frequently_nhds @[simp] theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x := eventually_eventually_nhds #align eventually_mem_nhds eventually_mem_nhds @[simp] theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x := Filter.ext fun _ => eventually_eventually_nhds #align nhds_bind_nhds nhds_bind_nhds @[simp] theorem eventually_eventuallyEq_nhds {f g : X → α} : (∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x := h.self_of_nhds #align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds @[simp] theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} : (∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_le_nhds eventually_eventuallyLE_nhds theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) : (∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s := ((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp] #align all_mem_nhds all_mem_nhds theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t) (l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l := all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt) #align all_mem_nhds_filter all_mem_nhds_filter theorem tendsto_nhds {f : α → X} {l : Filter α} : Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l := all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _ #align tendsto_nhds tendsto_nhds theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} : Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U := (atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le] #align tendsto_at_top_nhds tendsto_atTop_nhds theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) := tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha #align tendsto_const_nhds tendsto_const_nhds theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs #align pure_le_nhds pure_le_nhds theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) := (tendsto_pure_pure f a).mono_right (pure_le_nhds _) #align tendsto_pure_nhds tendsto_pure_nhds theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) : Tendsto f atTop (𝓝 (f ⊤)) := (tendsto_atTop_pure f).mono_right (pure_le_nhds _) #align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds @[simp] instance nhds_neBot : NeBot (𝓝 x) := neBot_of_le (pure_le_nhds x) #align nhds_ne_bot nhds_neBot theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) : Tendsto f l (𝓝 x) := tendsto_const_nhds.congr' (.symm h) theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) : Tendsto f l (𝓝 x) := tendsto_nhds_of_eventually_eq hf theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) := h #align cluster_pt.ne_bot ClusterPt.neBot theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop} {sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) : ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty := hX.inf_basis_neBot_iff hF #align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff theorem clusterPt_iff {F : Filter X} : ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty := inf_neBot_iff #align cluster_pt_iff clusterPt_iff theorem clusterPt_iff_not_disjoint {F : Filter X} : ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by rw [disjoint_iff, ClusterPt, neBot_iff] theorem clusterPt_principal_iff : ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty := inf_principal_neBot_iff #align cluster_pt_principal_iff clusterPt_principal_iff theorem clusterPt_principal_iff_frequently : ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff] #align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by rwa [ClusterPt, inf_eq_right.mpr H] #align cluster_pt.of_le_nhds ClusterPt.of_le_nhds theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) : ClusterPt x f := ClusterPt.of_le_nhds H #align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds' theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot] #align cluster_pt.of_nhds_le ClusterPt.of_nhds_le theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g := NeBot.mono H <| inf_le_inf_left _ h #align cluster_pt.mono ClusterPt.mono theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f := H.mono inf_le_left #align cluster_pt.of_inf_left ClusterPt.of_inf_left theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x g := H.mono inf_le_right #align cluster_pt.of_inf_right ClusterPt.of_inf_right theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x := ⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩ #align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔ ∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map] rfl #align map_cluster_pt_iff mapClusterPt_iff theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β} {u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β} {u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) : MapClusterPt x F u := by have := calc map (u ∘ φ) p = map u (map φ p) := map_map _ ≤ map u F := map_mono h have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this exact neBot_of_le this #align map_cluster_pt_of_comp mapClusterPt_of_comp theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by rw [AccPt, nhdsWithin, ClusterPt, inf_assoc] #align acc_iff_cluster acc_iff_cluster theorem acc_principal_iff_cluster (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq] #align acc_principal_iff_cluster acc_principal_iff_cluster theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc, @and_comm (¬_ = x)] #align acc_pt_iff_nhds accPt_iff_nhds theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm] #align acc_pt_iff_frequently accPt_iff_frequently theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G := NeBot.mono h (inf_le_inf_left _ hFG) #align acc_pt.mono AccPt.mono theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } := Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq] #align interior_eq_nhds' interior_eq_nhds' theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } := interior_eq_nhds'.trans <| by simp only [le_principal_iff] #align interior_eq_nhds interior_eq_nhds @[simp] theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x := ⟨fun h => mem_of_superset h interior_subset, fun h => IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩ #align interior_mem_nhds interior_mem_nhds theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } := interior_eq_nhds' #align interior_set_of_eq interior_setOf_eq theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by simp only [← interior_setOf_eq, isOpen_interior] #align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by simp_rw [subset_def, mem_interior_iff_mem_nhds] #align subset_interior_iff_nhds subset_interior_iff_nhds theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := calc IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm _ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf] #align is_open_iff_nhds isOpen_iff_nhds theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} : t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x := ⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩ alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x := isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff #align is_open_iff_mem_nhds isOpen_iff_mem_nhds theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s := isOpen_iff_mem_nhds #align is_open_iff_eventually isOpen_iff_eventually theorem isOpen_iff_ultrafilter : IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter] #align is_open_iff_ultrafilter isOpen_iff_ultrafilter theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by constructor · intro h apply le_antisymm _ (pure_le_nhds x) rw [le_pure_iff] exact h.mem_nhds (mem_singleton x) · intro h simp [isOpen_iff_nhds, h] #align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff, nhds_neBot.le_pure_iff] #align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds, closure_eq_compl_interior_compl, mem_compl_iff, compl_def] #align mem_closure_iff_frequently mem_closure_iff_frequently alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently #align filter.frequently.mem_closure Filter.Frequently.mem_closure theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by rw [← closure_subset_iff_isClosed] refine forall_congr' fun x => ?_ rw [mem_closure_iff_frequently] #align is_closed_iff_frequently isClosed_iff_frequently theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or] refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2 exacts [isOpen_setOf_eventually_nhds, isOpen_const] #align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) := mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm #align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ := mem_closure_iff_clusterPt.trans neBot_iff #align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot @[deprecated (since := "2024-01-28")] alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) := mem_closure_iff_clusterPt #align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by rw [mem_closure_iff_nhdsWithin_neBot, not_neBot] theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by intro y rcases eq_or_ne y x with (rfl | hne) · rwa [mem_closure_iff_nhdsWithin_neBot] · exact subset_closure hne #align dense_compl_singleton dense_compl_singleton -- Porting note (#10618): was a `@[simp]` lemma but `simp` can prove it theorem closure_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : closure {x}ᶜ = (univ : Set X) := (dense_compl_singleton x).closure_eq #align closure_compl_singleton closure_compl_singleton @[simp] theorem interior_singleton (x : X) [NeBot (𝓝[≠] x)] : interior {x} = (∅ : Set X) := interior_eq_empty_iff_dense_compl.2 (dense_compl_singleton x) #align interior_singleton interior_singleton theorem not_isOpen_singleton (x : X) [NeBot (𝓝[≠] x)] : ¬IsOpen ({x} : Set X) := dense_compl_singleton_iff_not_open.1 (dense_compl_singleton x) #align not_is_open_singleton not_isOpen_singleton theorem closure_eq_cluster_pts : closure s = { a | ClusterPt a (𝓟 s) } := Set.ext fun _ => mem_closure_iff_clusterPt #align closure_eq_cluster_pts closure_eq_cluster_pts theorem mem_closure_iff_nhds : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, (t ∩ s).Nonempty := mem_closure_iff_clusterPt.trans clusterPt_principal_iff #align mem_closure_iff_nhds mem_closure_iff_nhds theorem mem_closure_iff_nhds' : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, ∃ y : s, ↑y ∈ t := by simp only [mem_closure_iff_nhds, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop] #align mem_closure_iff_nhds' mem_closure_iff_nhds'
Mathlib/Topology/Basic.lean
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theorem mem_closure_iff_comap_neBot : x ∈ closure s ↔ NeBot (comap ((↑) : s → X) (𝓝 x)) := by
simp_rw [mem_closure_iff_nhds, comap_neBot_iff, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop]
import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.OrdConnected #align_import data.set.intervals.proj_Icc from "leanprover-community/mathlib"@"4e24c4bfcff371c71f7ba22050308aa17815626c" variable {α β : Type*} [LinearOrder α] open Function namespace Set def projIci (a x : α) : Ici a := ⟨max a x, le_max_left _ _⟩ #align set.proj_Ici Set.projIci def projIic (b x : α) : Iic b := ⟨min b x, min_le_left _ _⟩ #align set.proj_Iic Set.projIic def projIcc (a b : α) (h : a ≤ b) (x : α) : Icc a b := ⟨max a (min b x), le_max_left _ _, max_le h (min_le_left _ _)⟩ #align set.proj_Icc Set.projIcc variable {a b : α} (h : a ≤ b) {x : α} @[norm_cast] theorem coe_projIci (a x : α) : (projIci a x : α) = max a x := rfl #align set.coe_proj_Ici Set.coe_projIci @[norm_cast] theorem coe_projIic (b x : α) : (projIic b x : α) = min b x := rfl #align set.coe_proj_Iic Set.coe_projIic @[norm_cast] theorem coe_projIcc (a b : α) (h : a ≤ b) (x : α) : (projIcc a b h x : α) = max a (min b x) := rfl #align set.coe_proj_Icc Set.coe_projIcc theorem projIci_of_le (hx : x ≤ a) : projIci a x = ⟨a, le_rfl⟩ := Subtype.ext <| max_eq_left hx #align set.proj_Ici_of_le Set.projIci_of_le theorem projIic_of_le (hx : b ≤ x) : projIic b x = ⟨b, le_rfl⟩ := Subtype.ext <| min_eq_left hx #align set.proj_Iic_of_le Set.projIic_of_le theorem projIcc_of_le_left (hx : x ≤ a) : projIcc a b h x = ⟨a, left_mem_Icc.2 h⟩ := by simp [projIcc, hx, hx.trans h] #align set.proj_Icc_of_le_left Set.projIcc_of_le_left theorem projIcc_of_right_le (hx : b ≤ x) : projIcc a b h x = ⟨b, right_mem_Icc.2 h⟩ := by simp [projIcc, hx, h] #align set.proj_Icc_of_right_le Set.projIcc_of_right_le @[simp] theorem projIci_self (a : α) : projIci a a = ⟨a, le_rfl⟩ := projIci_of_le le_rfl #align set.proj_Ici_self Set.projIci_self @[simp] theorem projIic_self (b : α) : projIic b b = ⟨b, le_rfl⟩ := projIic_of_le le_rfl #align set.proj_Iic_self Set.projIic_self @[simp] theorem projIcc_left : projIcc a b h a = ⟨a, left_mem_Icc.2 h⟩ := projIcc_of_le_left h le_rfl #align set.proj_Icc_left Set.projIcc_left @[simp] theorem projIcc_right : projIcc a b h b = ⟨b, right_mem_Icc.2 h⟩ := projIcc_of_right_le h le_rfl #align set.proj_Icc_right Set.projIcc_right theorem projIci_eq_self : projIci a x = ⟨a, le_rfl⟩ ↔ x ≤ a := by simp [projIci, Subtype.ext_iff] #align set.proj_Ici_eq_self Set.projIci_eq_self theorem projIic_eq_self : projIic b x = ⟨b, le_rfl⟩ ↔ b ≤ x := by simp [projIic, Subtype.ext_iff] #align set.proj_Iic_eq_self Set.projIic_eq_self theorem projIcc_eq_left (h : a < b) : projIcc a b h.le x = ⟨a, left_mem_Icc.mpr h.le⟩ ↔ x ≤ a := by simp [projIcc, Subtype.ext_iff, h.not_le] #align set.proj_Icc_eq_left Set.projIcc_eq_left theorem projIcc_eq_right (h : a < b) : projIcc a b h.le x = ⟨b, right_mem_Icc.2 h.le⟩ ↔ b ≤ x := by simp [projIcc, Subtype.ext_iff, max_min_distrib_left, h.le, h.not_le] #align set.proj_Icc_eq_right Set.projIcc_eq_right theorem projIci_of_mem (hx : x ∈ Ici a) : projIci a x = ⟨x, hx⟩ := by simpa [projIci] #align set.proj_Ici_of_mem Set.projIci_of_mem theorem projIic_of_mem (hx : x ∈ Iic b) : projIic b x = ⟨x, hx⟩ := by simpa [projIic] #align set.proj_Iic_of_mem Set.projIic_of_mem theorem projIcc_of_mem (hx : x ∈ Icc a b) : projIcc a b h x = ⟨x, hx⟩ := by simp [projIcc, hx.1, hx.2] #align set.proj_Icc_of_mem Set.projIcc_of_mem @[simp] theorem projIci_coe (x : Ici a) : projIci a x = x := by cases x; apply projIci_of_mem #align set.proj_Ici_coe Set.projIci_coe @[simp] theorem projIic_coe (x : Iic b) : projIic b x = x := by cases x; apply projIic_of_mem #align set.proj_Iic_coe Set.projIic_coe @[simp] theorem projIcc_val (x : Icc a b) : projIcc a b h x = x := by cases x apply projIcc_of_mem #align set.proj_Icc_coe Set.projIcc_val theorem projIci_surjOn : SurjOn (projIci a) (Ici a) univ := fun x _ => ⟨x, x.2, projIci_coe x⟩ #align set.proj_Ici_surj_on Set.projIci_surjOn theorem projIic_surjOn : SurjOn (projIic b) (Iic b) univ := fun x _ => ⟨x, x.2, projIic_coe x⟩ #align set.proj_Iic_surj_on Set.projIic_surjOn theorem projIcc_surjOn : SurjOn (projIcc a b h) (Icc a b) univ := fun x _ => ⟨x, x.2, projIcc_val h x⟩ #align set.proj_Icc_surj_on Set.projIcc_surjOn theorem projIci_surjective : Surjective (projIci a) := fun x => ⟨x, projIci_coe x⟩ #align set.proj_Ici_surjective Set.projIci_surjective theorem projIic_surjective : Surjective (projIic b) := fun x => ⟨x, projIic_coe x⟩ #align set.proj_Iic_surjective Set.projIic_surjective theorem projIcc_surjective : Surjective (projIcc a b h) := fun x => ⟨x, projIcc_val h x⟩ #align set.proj_Icc_surjective Set.projIcc_surjective @[simp] theorem range_projIci : range (projIci a) = univ := projIci_surjective.range_eq #align set.range_proj_Ici Set.range_projIci @[simp] theorem range_projIic : range (projIic a) = univ := projIic_surjective.range_eq #align set.range_proj_Iic Set.range_projIic @[simp] theorem range_projIcc : range (projIcc a b h) = univ := (projIcc_surjective h).range_eq #align set.range_proj_Icc Set.range_projIcc theorem monotone_projIci : Monotone (projIci a) := fun _ _ => max_le_max le_rfl #align set.monotone_proj_Ici Set.monotone_projIci theorem monotone_projIic : Monotone (projIic a) := fun _ _ => min_le_min le_rfl #align set.monotone_proj_Iic Set.monotone_projIic theorem monotone_projIcc : Monotone (projIcc a b h) := fun _ _ hxy => max_le_max le_rfl <| min_le_min le_rfl hxy #align set.monotone_proj_Icc Set.monotone_projIcc theorem strictMonoOn_projIci : StrictMonoOn (projIci a) (Ici a) := fun x hx y hy hxy => by simpa only [projIci_of_mem, hx, hy] #align set.strict_mono_on_proj_Ici Set.strictMonoOn_projIci theorem strictMonoOn_projIic : StrictMonoOn (projIic b) (Iic b) := fun x hx y hy hxy => by simpa only [projIic_of_mem, hx, hy] #align set.strict_mono_on_proj_Iic Set.strictMonoOn_projIic theorem strictMonoOn_projIcc : StrictMonoOn (projIcc a b h) (Icc a b) := fun x hx y hy hxy => by simpa only [projIcc_of_mem, hx, hy] #align set.strict_mono_on_proj_Icc Set.strictMonoOn_projIcc def IciExtend (f : Ici a → β) : α → β := f ∘ projIci a #align set.Ici_extend Set.IciExtend def IicExtend (f : Iic b → β) : α → β := f ∘ projIic b #align set.Iic_extend Set.IicExtend def IccExtend {a b : α} (h : a ≤ b) (f : Icc a b → β) : α → β := f ∘ projIcc a b h #align set.Icc_extend Set.IccExtend theorem IciExtend_apply (f : Ici a → β) (x : α) : IciExtend f x = f ⟨max a x, le_max_left _ _⟩ := rfl #align set.Ici_extend_apply Set.IciExtend_apply theorem IicExtend_apply (f : Iic b → β) (x : α) : IicExtend f x = f ⟨min b x, min_le_left _ _⟩ := rfl #align set.Iic_extend_apply Set.IicExtend_apply theorem IccExtend_apply (h : a ≤ b) (f : Icc a b → β) (x : α) : IccExtend h f x = f ⟨max a (min b x), le_max_left _ _, max_le h (min_le_left _ _)⟩ := rfl #align set.Icc_extend_apply Set.IccExtend_apply @[simp] theorem range_IciExtend (f : Ici a → β) : range (IciExtend f) = range f := by simp only [IciExtend, range_comp f, range_projIci, range_id', image_univ] #align set.range_Ici_extend Set.range_IciExtend @[simp] theorem range_IicExtend (f : Iic b → β) : range (IicExtend f) = range f := by simp only [IicExtend, range_comp f, range_projIic, range_id', image_univ] #align set.range_Iic_extend Set.range_IicExtend @[simp] theorem IccExtend_range (f : Icc a b → β) : range (IccExtend h f) = range f := by simp only [IccExtend, range_comp f, range_projIcc, image_univ] #align set.Icc_extend_range Set.IccExtend_range theorem IciExtend_of_le (f : Ici a → β) (hx : x ≤ a) : IciExtend f x = f ⟨a, le_rfl⟩ := congr_arg f <| projIci_of_le hx #align set.Ici_extend_of_le Set.IciExtend_of_le theorem IicExtend_of_le (f : Iic b → β) (hx : b ≤ x) : IicExtend f x = f ⟨b, le_rfl⟩ := congr_arg f <| projIic_of_le hx #align set.Iic_extend_of_le Set.IicExtend_of_le theorem IccExtend_of_le_left (f : Icc a b → β) (hx : x ≤ a) : IccExtend h f x = f ⟨a, left_mem_Icc.2 h⟩ := congr_arg f <| projIcc_of_le_left h hx #align set.Icc_extend_of_le_left Set.IccExtend_of_le_left theorem IccExtend_of_right_le (f : Icc a b → β) (hx : b ≤ x) : IccExtend h f x = f ⟨b, right_mem_Icc.2 h⟩ := congr_arg f <| projIcc_of_right_le h hx #align set.Icc_extend_of_right_le Set.IccExtend_of_right_le @[simp] theorem IciExtend_self (f : Ici a → β) : IciExtend f a = f ⟨a, le_rfl⟩ := IciExtend_of_le f le_rfl #align set.Ici_extend_self Set.IciExtend_self @[simp] theorem IicExtend_self (f : Iic b → β) : IicExtend f b = f ⟨b, le_rfl⟩ := IicExtend_of_le f le_rfl #align set.Iic_extend_self Set.IicExtend_self @[simp] theorem IccExtend_left (f : Icc a b → β) : IccExtend h f a = f ⟨a, left_mem_Icc.2 h⟩ := IccExtend_of_le_left h f le_rfl #align set.Icc_extend_left Set.IccExtend_left @[simp] theorem IccExtend_right (f : Icc a b → β) : IccExtend h f b = f ⟨b, right_mem_Icc.2 h⟩ := IccExtend_of_right_le h f le_rfl #align set.Icc_extend_right Set.IccExtend_right theorem IciExtend_of_mem (f : Ici a → β) (hx : x ∈ Ici a) : IciExtend f x = f ⟨x, hx⟩ := congr_arg f <| projIci_of_mem hx #align set.Ici_extend_of_mem Set.IciExtend_of_mem theorem IicExtend_of_mem (f : Iic b → β) (hx : x ∈ Iic b) : IicExtend f x = f ⟨x, hx⟩ := congr_arg f <| projIic_of_mem hx #align set.Iic_extend_of_mem Set.IicExtend_of_mem theorem IccExtend_of_mem (f : Icc a b → β) (hx : x ∈ Icc a b) : IccExtend h f x = f ⟨x, hx⟩ := congr_arg f <| projIcc_of_mem h hx #align set.Icc_extend_of_mem Set.IccExtend_of_mem @[simp] theorem IciExtend_coe (f : Ici a → β) (x : Ici a) : IciExtend f x = f x := congr_arg f <| projIci_coe x #align set.Ici_extend_coe Set.IciExtend_coe @[simp] theorem IicExtend_coe (f : Iic b → β) (x : Iic b) : IicExtend f x = f x := congr_arg f <| projIic_coe x #align set.Iic_extend_coe Set.IicExtend_coe @[simp] theorem IccExtend_val (f : Icc a b → β) (x : Icc a b) : IccExtend h f x = f x := congr_arg f <| projIcc_val h x #align set.Icc_extend_coe Set.IccExtend_val
Mathlib/Order/Interval/Set/ProjIcc.lean
300
308
theorem IccExtend_eq_self (f : α → β) (ha : ∀ x < a, f x = f a) (hb : ∀ x, b < x → f x = f b) : IccExtend h (f ∘ (↑)) = f := by
ext x cases' lt_or_le x a with hxa hax · simp [IccExtend_of_le_left _ _ hxa.le, ha x hxa] · rcases le_or_lt x b with hxb | hbx · lift x to Icc a b using ⟨hax, hxb⟩ rw [IccExtend_val, comp_apply] · simp [IccExtend_of_right_le _ _ hbx.le, hb x hbx]
import Mathlib.Analysis.NormedSpace.AffineIsometry import Mathlib.Topology.Algebra.ContinuousAffineMap import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace #align_import analysis.normed_space.continuous_affine_map from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" namespace ContinuousAffineMap variable {𝕜 R V W W₂ P Q Q₂ : Type*} variable [NormedAddCommGroup V] [MetricSpace P] [NormedAddTorsor V P] variable [NormedAddCommGroup W] [MetricSpace Q] [NormedAddTorsor W Q] variable [NormedAddCommGroup W₂] [MetricSpace Q₂] [NormedAddTorsor W₂ Q₂] variable [NormedField R] [NormedSpace R V] [NormedSpace R W] [NormedSpace R W₂] variable [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 V] [NormedSpace 𝕜 W] [NormedSpace 𝕜 W₂] def contLinear (f : P →ᴬ[R] Q) : V →L[R] W := { f.linear with toFun := f.linear cont := by rw [AffineMap.continuous_linear_iff]; exact f.cont } #align continuous_affine_map.cont_linear ContinuousAffineMap.contLinear @[simp] theorem coe_contLinear (f : P →ᴬ[R] Q) : (f.contLinear : V → W) = f.linear := rfl #align continuous_affine_map.coe_cont_linear ContinuousAffineMap.coe_contLinear @[simp] theorem coe_contLinear_eq_linear (f : P →ᴬ[R] Q) : (f.contLinear : V →ₗ[R] W) = (f : P →ᵃ[R] Q).linear := by ext; rfl #align continuous_affine_map.coe_cont_linear_eq_linear ContinuousAffineMap.coe_contLinear_eq_linear @[simp] theorem coe_mk_const_linear_eq_linear (f : P →ᵃ[R] Q) (h) : ((⟨f, h⟩ : P →ᴬ[R] Q).contLinear : V → W) = f.linear := rfl #align continuous_affine_map.coe_mk_const_linear_eq_linear ContinuousAffineMap.coe_mk_const_linear_eq_linear theorem coe_linear_eq_coe_contLinear (f : P →ᴬ[R] Q) : ((f : P →ᵃ[R] Q).linear : V → W) = (⇑f.contLinear : V → W) := rfl #align continuous_affine_map.coe_linear_eq_coe_cont_linear ContinuousAffineMap.coe_linear_eq_coe_contLinear @[simp] theorem comp_contLinear (f : P →ᴬ[R] Q) (g : Q →ᴬ[R] Q₂) : (g.comp f).contLinear = g.contLinear.comp f.contLinear := rfl #align continuous_affine_map.comp_cont_linear ContinuousAffineMap.comp_contLinear @[simp] theorem map_vadd (f : P →ᴬ[R] Q) (p : P) (v : V) : f (v +ᵥ p) = f.contLinear v +ᵥ f p := f.map_vadd' p v #align continuous_affine_map.map_vadd ContinuousAffineMap.map_vadd @[simp] theorem contLinear_map_vsub (f : P →ᴬ[R] Q) (p₁ p₂ : P) : f.contLinear (p₁ -ᵥ p₂) = f p₁ -ᵥ f p₂ := f.toAffineMap.linearMap_vsub p₁ p₂ #align continuous_affine_map.cont_linear_map_vsub ContinuousAffineMap.contLinear_map_vsub @[simp] theorem const_contLinear (q : Q) : (const R P q).contLinear = 0 := rfl #align continuous_affine_map.const_cont_linear ContinuousAffineMap.const_contLinear
Mathlib/Analysis/NormedSpace/ContinuousAffineMap.lean
102
114
theorem contLinear_eq_zero_iff_exists_const (f : P →ᴬ[R] Q) : f.contLinear = 0 ↔ ∃ q, f = const R P q := by
have h₁ : f.contLinear = 0 ↔ (f : P →ᵃ[R] Q).linear = 0 := by refine ⟨fun h => ?_, fun h => ?_⟩ <;> ext · rw [← coe_contLinear_eq_linear, h]; rfl · rw [← coe_linear_eq_coe_contLinear, h]; rfl have h₂ : ∀ q : Q, f = const R P q ↔ (f : P →ᵃ[R] Q) = AffineMap.const R P q := by intro q refine ⟨fun h => ?_, fun h => ?_⟩ <;> ext · rw [h]; rfl · rw [← coe_to_affineMap, h]; rfl simp_rw [h₁, h₂] exact (f : P →ᵃ[R] Q).linear_eq_zero_iff_exists_const
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.Tactic.FieldSimp import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.Basis #align_import linear_algebra.determinant from "leanprover-community/mathlib"@"0c1d80f5a86b36c1db32e021e8d19ae7809d5b79" noncomputable section open Matrix LinearMap Submodule Set Function universe u v w variable {R : Type*} [CommRing R] variable {M : Type*} [AddCommGroup M] [Module R M] variable {M' : Type*} [AddCommGroup M'] [Module R M'] variable {ι : Type*} [DecidableEq ι] [Fintype ι] variable (e : Basis ι R M) section Conjugate variable {A : Type*} [CommRing A] variable {m n : Type*} def equivOfPiLEquivPi {R : Type*} [Finite m] [Finite n] [CommRing R] [Nontrivial R] (e : (m → R) ≃ₗ[R] n → R) : m ≃ n := Basis.indexEquiv (Basis.ofEquivFun e.symm) (Pi.basisFun _ _) #align equiv_of_pi_lequiv_pi equivOfPiLEquivPi namespace Matrix variable [Fintype m] [Fintype n] def indexEquivOfInv [Nontrivial A] [DecidableEq m] [DecidableEq n] {M : Matrix m n A} {M' : Matrix n m A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : m ≃ n := equivOfPiLEquivPi (toLin'OfInv hMM' hM'M) #align matrix.index_equiv_of_inv Matrix.indexEquivOfInv theorem det_comm [DecidableEq n] (M N : Matrix n n A) : det (M * N) = det (N * M) := by rw [det_mul, det_mul, mul_comm] #align matrix.det_comm Matrix.det_comm
Mathlib/LinearAlgebra/Determinant.lean
83
90
theorem det_comm' [DecidableEq m] [DecidableEq n] {M : Matrix n m A} {N : Matrix m n A} {M' : Matrix m n A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : det (M * N) = det (N * M) := by
nontriviality A -- Although `m` and `n` are different a priori, we will show they have the same cardinality. -- This turns the problem into one for square matrices, which is easy. let e := indexEquivOfInv hMM' hM'M rw [← det_submatrix_equiv_self e, ← submatrix_mul_equiv _ _ _ (Equiv.refl n) _, det_comm, submatrix_mul_equiv, Equiv.coe_refl, submatrix_id_id]
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 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 @[simp] theorem findIdx?_append : (xs ++ ys : List α).findIdx? p = (xs.findIdx? p <|> (ys.findIdx? p).map fun i => i + xs.length) := by induction xs with simp | cons _ _ _ => split <;> simp_all [Option.map_orElse, Option.map_map]; rfl @[simp] theorem findIdx?_replicate : (replicate n a).findIdx? p = if 0 < n ∧ p a then some 0 else none := by induction n with | zero => simp | succ n ih => simp only [replicate, findIdx?_cons, Nat.zero_add, findIdx?_succ, Nat.zero_lt_succ, true_and] split <;> simp_all theorem Pairwise.sublist : l₁ <+ l₂ → l₂.Pairwise R → l₁.Pairwise R | .slnil, h => h | .cons _ s, .cons _ h₂ => h₂.sublist s | .cons₂ _ s, .cons h₁ h₂ => (h₂.sublist s).cons fun _ h => h₁ _ (s.subset h) theorem pairwise_map {l : List α} : (l.map f).Pairwise R ↔ l.Pairwise fun a b => R (f a) (f b) := by induction l · simp · simp only [map, pairwise_cons, forall_mem_map_iff, *] theorem pairwise_append {l₁ l₂ : List α} : (l₁ ++ l₂).Pairwise R ↔ l₁.Pairwise R ∧ l₂.Pairwise R ∧ ∀ a ∈ l₁, ∀ b ∈ l₂, R a b := by induction l₁ <;> simp [*, or_imp, forall_and, and_assoc, and_left_comm] theorem pairwise_reverse {l : List α} : l.reverse.Pairwise R ↔ l.Pairwise (fun a b => R b a) := by induction l <;> simp [*, pairwise_append, and_comm] theorem Pairwise.imp {α R S} (H : ∀ {a b}, R a b → S a b) : ∀ {l : List α}, l.Pairwise R → l.Pairwise S | _, .nil => .nil | _, .cons h₁ h₂ => .cons (H ∘ h₁ ·) (h₂.imp H) theorem replaceF_nil : [].replaceF p = [] := rfl theorem replaceF_cons (a : α) (l : List α) : (a :: l).replaceF p = match p a with | none => a :: replaceF p l | some a' => a' :: l := rfl
.lake/packages/batteries/Batteries/Data/List/Lemmas.lean
774
776
theorem replaceF_cons_of_some {l : List α} (p) (h : p a = some a') : (a :: l).replaceF p = a' :: l := by
simp [replaceF_cons, h]
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv #align_import analysis.special_functions.trigonometric.inverse_deriv from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical Topology Filter open Set Filter open scoped Real namespace Real section Arcsin
Mathlib/Analysis/SpecialFunctions/Trigonometric/InverseDeriv.lean
30
49
theorem deriv_arcsin_aux {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) : HasStrictDerivAt arcsin (1 / √(1 - x ^ 2)) x ∧ ContDiffAt ℝ ⊤ arcsin x := by
cases' h₁.lt_or_lt with h₁ h₁ · have : 1 - x ^ 2 < 0 := by nlinarith [h₁] rw [sqrt_eq_zero'.2 this.le, div_zero] have : arcsin =ᶠ[𝓝 x] fun _ => -(π / 2) := (gt_mem_nhds h₁).mono fun y hy => arcsin_of_le_neg_one hy.le exact ⟨(hasStrictDerivAt_const _ _).congr_of_eventuallyEq this.symm, contDiffAt_const.congr_of_eventuallyEq this⟩ cases' h₂.lt_or_lt with h₂ h₂ · have : 0 < √(1 - x ^ 2) := sqrt_pos.2 (by nlinarith [h₁, h₂]) simp only [← cos_arcsin, one_div] at this ⊢ exact ⟨sinPartialHomeomorph.hasStrictDerivAt_symm ⟨h₁, h₂⟩ this.ne' (hasStrictDerivAt_sin _), sinPartialHomeomorph.contDiffAt_symm_deriv this.ne' ⟨h₁, h₂⟩ (hasDerivAt_sin _) contDiff_sin.contDiffAt⟩ · have : 1 - x ^ 2 < 0 := by nlinarith [h₂] rw [sqrt_eq_zero'.2 this.le, div_zero] have : arcsin =ᶠ[𝓝 x] fun _ => π / 2 := (lt_mem_nhds h₂).mono fun y hy => arcsin_of_one_le hy.le exact ⟨(hasStrictDerivAt_const _ _).congr_of_eventuallyEq this.symm, contDiffAt_const.congr_of_eventuallyEq this⟩
import Mathlib.Data.Nat.Defs import Mathlib.Order.Interval.Set.Basic import Mathlib.Tactic.Monotonicity.Attr #align_import data.nat.log from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Nat --@[pp_nodot] porting note: unknown attribute def log (b : ℕ) : ℕ → ℕ | n => if h : b ≤ n ∧ 1 < b then log b (n / b) + 1 else 0 decreasing_by -- putting this in the def triggers the `unusedHavesSuffices` linter: -- https://github.com/leanprover-community/batteries/issues/428 have : n / b < n := div_lt_self ((Nat.zero_lt_one.trans h.2).trans_le h.1) h.2 decreasing_trivial #align nat.log Nat.log @[simp] theorem log_eq_zero_iff {b n : ℕ} : log b n = 0 ↔ n < b ∨ b ≤ 1 := by rw [log, dite_eq_right_iff] simp only [Nat.add_eq_zero_iff, Nat.one_ne_zero, and_false, imp_false, not_and_or, not_le, not_lt] #align nat.log_eq_zero_iff Nat.log_eq_zero_iff theorem log_of_lt {b n : ℕ} (hb : n < b) : log b n = 0 := log_eq_zero_iff.2 (Or.inl hb) #align nat.log_of_lt Nat.log_of_lt theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (n) : log b n = 0 := log_eq_zero_iff.2 (Or.inr hb) #align nat.log_of_left_le_one Nat.log_of_left_le_one @[simp] theorem log_pos_iff {b n : ℕ} : 0 < log b n ↔ b ≤ n ∧ 1 < b := by rw [Nat.pos_iff_ne_zero, Ne, log_eq_zero_iff, not_or, not_lt, not_le] #align nat.log_pos_iff Nat.log_pos_iff theorem log_pos {b n : ℕ} (hb : 1 < b) (hbn : b ≤ n) : 0 < log b n := log_pos_iff.2 ⟨hbn, hb⟩ #align nat.log_pos Nat.log_pos theorem log_of_one_lt_of_le {b n : ℕ} (h : 1 < b) (hn : b ≤ n) : log b n = log b (n / b) + 1 := by rw [log] exact if_pos ⟨hn, h⟩ #align nat.log_of_one_lt_of_le Nat.log_of_one_lt_of_le @[simp] lemma log_zero_left : ∀ n, log 0 n = 0 := log_of_left_le_one $ Nat.zero_le _ #align nat.log_zero_left Nat.log_zero_left @[simp] theorem log_zero_right (b : ℕ) : log b 0 = 0 := log_eq_zero_iff.2 (le_total 1 b) #align nat.log_zero_right Nat.log_zero_right @[simp] theorem log_one_left : ∀ n, log 1 n = 0 := log_of_left_le_one le_rfl #align nat.log_one_left Nat.log_one_left @[simp] theorem log_one_right (b : ℕ) : log b 1 = 0 := log_eq_zero_iff.2 (lt_or_le _ _) #align nat.log_one_right Nat.log_one_right theorem pow_le_iff_le_log {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) : b ^ x ≤ y ↔ x ≤ log b y := by induction' y using Nat.strong_induction_on with y ih generalizing x cases x with | zero => dsimp; omega | succ x => rw [log]; split_ifs with h · have b_pos : 0 < b := lt_of_succ_lt hb rw [Nat.add_le_add_iff_right, ← ih (y / b) (div_lt_self (Nat.pos_iff_ne_zero.2 hy) hb) (Nat.div_pos h.1 b_pos).ne', le_div_iff_mul_le b_pos, pow_succ', Nat.mul_comm] · exact iff_of_false (fun hby => h ⟨(le_self_pow x.succ_ne_zero _).trans hby, hb⟩) (not_succ_le_zero _) #align nat.pow_le_iff_le_log Nat.pow_le_iff_le_log theorem lt_pow_iff_log_lt {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) : y < b ^ x ↔ log b y < x := lt_iff_lt_of_le_iff_le (pow_le_iff_le_log hb hy) #align nat.lt_pow_iff_log_lt Nat.lt_pow_iff_log_lt theorem pow_le_of_le_log {b x y : ℕ} (hy : y ≠ 0) (h : x ≤ log b y) : b ^ x ≤ y := by refine (le_or_lt b 1).elim (fun hb => ?_) fun hb => (pow_le_iff_le_log hb hy).2 h rw [log_of_left_le_one hb, Nat.le_zero] at h rwa [h, Nat.pow_zero, one_le_iff_ne_zero] #align nat.pow_le_of_le_log Nat.pow_le_of_le_log theorem le_log_of_pow_le {b x y : ℕ} (hb : 1 < b) (h : b ^ x ≤ y) : x ≤ log b y := by rcases ne_or_eq y 0 with (hy | rfl) exacts [(pow_le_iff_le_log hb hy).1 h, (h.not_lt (Nat.pow_pos (Nat.zero_lt_one.trans hb))).elim] #align nat.le_log_of_pow_le Nat.le_log_of_pow_le theorem pow_log_le_self (b : ℕ) {x : ℕ} (hx : x ≠ 0) : b ^ log b x ≤ x := pow_le_of_le_log hx le_rfl #align nat.pow_log_le_self Nat.pow_log_le_self theorem log_lt_of_lt_pow {b x y : ℕ} (hy : y ≠ 0) : y < b ^ x → log b y < x := lt_imp_lt_of_le_imp_le (pow_le_of_le_log hy) #align nat.log_lt_of_lt_pow Nat.log_lt_of_lt_pow theorem lt_pow_of_log_lt {b x y : ℕ} (hb : 1 < b) : log b y < x → y < b ^ x := lt_imp_lt_of_le_imp_le (le_log_of_pow_le hb) #align nat.lt_pow_of_log_lt Nat.lt_pow_of_log_lt theorem lt_pow_succ_log_self {b : ℕ} (hb : 1 < b) (x : ℕ) : x < b ^ (log b x).succ := lt_pow_of_log_lt hb (lt_succ_self _) #align nat.lt_pow_succ_log_self Nat.lt_pow_succ_log_self theorem log_eq_iff {b m n : ℕ} (h : m ≠ 0 ∨ 1 < b ∧ n ≠ 0) : log b n = m ↔ b ^ m ≤ n ∧ n < b ^ (m + 1) := by rcases em (1 < b ∧ n ≠ 0) with (⟨hb, hn⟩ | hbn) · rw [le_antisymm_iff, ← Nat.lt_succ_iff, ← pow_le_iff_le_log, ← lt_pow_iff_log_lt, and_comm] <;> assumption have hm : m ≠ 0 := h.resolve_right hbn rw [not_and_or, not_lt, Ne, not_not] at hbn rcases hbn with (hb | rfl) · obtain rfl | rfl := le_one_iff_eq_zero_or_eq_one.1 hb any_goals simp only [ne_eq, zero_eq, reduceSucc, lt_self_iff_false, not_lt_zero, false_and, or_false] at h simp [h, eq_comm (a := 0), Nat.zero_pow (Nat.pos_iff_ne_zero.2 _)] <;> omega · simp [@eq_comm _ 0, hm] #align nat.log_eq_iff Nat.log_eq_iff theorem log_eq_of_pow_le_of_lt_pow {b m n : ℕ} (h₁ : b ^ m ≤ n) (h₂ : n < b ^ (m + 1)) : log b n = m := by rcases eq_or_ne m 0 with (rfl | hm) · rw [Nat.pow_one] at h₂ exact log_of_lt h₂ · exact (log_eq_iff (Or.inl hm)).2 ⟨h₁, h₂⟩ #align nat.log_eq_of_pow_le_of_lt_pow Nat.log_eq_of_pow_le_of_lt_pow theorem log_pow {b : ℕ} (hb : 1 < b) (x : ℕ) : log b (b ^ x) = x := log_eq_of_pow_le_of_lt_pow le_rfl (Nat.pow_lt_pow_right hb x.lt_succ_self) #align nat.log_pow Nat.log_pow theorem log_eq_one_iff' {b n : ℕ} : log b n = 1 ↔ b ≤ n ∧ n < b * b := by rw [log_eq_iff (Or.inl Nat.one_ne_zero), Nat.pow_add, Nat.pow_one] #align nat.log_eq_one_iff' Nat.log_eq_one_iff' theorem log_eq_one_iff {b n : ℕ} : log b n = 1 ↔ n < b * b ∧ 1 < b ∧ b ≤ n := log_eq_one_iff'.trans ⟨fun h => ⟨h.2, lt_mul_self_iff.1 (h.1.trans_lt h.2), h.1⟩, fun h => ⟨h.2.2, h.1⟩⟩ #align nat.log_eq_one_iff Nat.log_eq_one_iff theorem log_mul_base {b n : ℕ} (hb : 1 < b) (hn : n ≠ 0) : log b (n * b) = log b n + 1 := by apply log_eq_of_pow_le_of_lt_pow <;> rw [pow_succ', Nat.mul_comm b] exacts [Nat.mul_le_mul_right _ (pow_log_le_self _ hn), (Nat.mul_lt_mul_right (Nat.zero_lt_one.trans hb)).2 (lt_pow_succ_log_self hb _)] #align nat.log_mul_base Nat.log_mul_base theorem pow_log_le_add_one (b : ℕ) : ∀ x, b ^ log b x ≤ x + 1 | 0 => by rw [log_zero_right, Nat.pow_zero] | x + 1 => (pow_log_le_self b x.succ_ne_zero).trans (x + 1).le_succ #align nat.pow_log_le_add_one Nat.pow_log_le_add_one theorem log_monotone {b : ℕ} : Monotone (log b) := by refine monotone_nat_of_le_succ fun n => ?_ rcases le_or_lt b 1 with hb | hb · rw [log_of_left_le_one hb] exact zero_le _ · exact le_log_of_pow_le hb (pow_log_le_add_one _ _) #align nat.log_monotone Nat.log_monotone @[mono] theorem log_mono_right {b n m : ℕ} (h : n ≤ m) : log b n ≤ log b m := log_monotone h #align nat.log_mono_right Nat.log_mono_right @[mono] theorem log_anti_left {b c n : ℕ} (hc : 1 < c) (hb : c ≤ b) : log b n ≤ log c n := by rcases eq_or_ne n 0 with (rfl | hn); · rw [log_zero_right, log_zero_right] apply le_log_of_pow_le hc calc c ^ log b n ≤ b ^ log b n := Nat.pow_le_pow_left hb _ _ ≤ n := pow_log_le_self _ hn #align nat.log_anti_left Nat.log_anti_left theorem log_antitone_left {n : ℕ} : AntitoneOn (fun b => log b n) (Set.Ioi 1) := fun _ hc _ _ hb => log_anti_left (Set.mem_Iio.1 hc) hb #align nat.log_antitone_left Nat.log_antitone_left @[simp] theorem log_div_base (b n : ℕ) : log b (n / b) = log b n - 1 := by rcases le_or_lt b 1 with hb | hb · rw [log_of_left_le_one hb, log_of_left_le_one hb, Nat.zero_sub] cases' lt_or_le n b with h h · rw [div_eq_of_lt h, log_of_lt h, log_zero_right] rw [log_of_one_lt_of_le hb h, Nat.add_sub_cancel_right] #align nat.log_div_base Nat.log_div_base @[simp] theorem log_div_mul_self (b n : ℕ) : log b (n / b * b) = log b n := by rcases le_or_lt b 1 with hb | hb · rw [log_of_left_le_one hb, log_of_left_le_one hb] cases' lt_or_le n b with h h · rw [div_eq_of_lt h, Nat.zero_mul, log_zero_right, log_of_lt h] rw [log_mul_base hb (Nat.div_pos h (by omega)).ne', log_div_base, Nat.sub_add_cancel (succ_le_iff.2 <| log_pos hb h)] #align nat.log_div_mul_self Nat.log_div_mul_self theorem add_pred_div_lt {b n : ℕ} (hb : 1 < b) (hn : 2 ≤ n) : (n + b - 1) / b < n := by rw [div_lt_iff_lt_mul (by omega), ← succ_le_iff, ← pred_eq_sub_one, succ_pred_eq_of_pos (by omega)] exact Nat.add_le_mul hn hb -- Porting note: Was private in mathlib 3 -- #align nat.add_pred_div_lt Nat.add_pred_div_lt --@[pp_nodot] def clog (b : ℕ) : ℕ → ℕ | n => if h : 1 < b ∧ 1 < n then clog b ((n + b - 1) / b) + 1 else 0 decreasing_by -- putting this in the def triggers the `unusedHavesSuffices` linter: -- https://github.com/leanprover-community/batteries/issues/428 have : (n + b - 1) / b < n := add_pred_div_lt h.1 h.2 decreasing_trivial #align nat.clog Nat.clog theorem clog_of_left_le_one {b : ℕ} (hb : b ≤ 1) (n : ℕ) : clog b n = 0 := by rw [clog, dif_neg fun h : 1 < b ∧ 1 < n => h.1.not_le hb] #align nat.clog_of_left_le_one Nat.clog_of_left_le_one theorem clog_of_right_le_one {n : ℕ} (hn : n ≤ 1) (b : ℕ) : clog b n = 0 := by rw [clog, dif_neg fun h : 1 < b ∧ 1 < n => h.2.not_le hn] #align nat.clog_of_right_le_one Nat.clog_of_right_le_one @[simp] lemma clog_zero_left (n : ℕ) : clog 0 n = 0 := clog_of_left_le_one (Nat.zero_le _) _ #align nat.clog_zero_left Nat.clog_zero_left @[simp] lemma clog_zero_right (b : ℕ) : clog b 0 = 0 := clog_of_right_le_one (Nat.zero_le _) _ #align nat.clog_zero_right Nat.clog_zero_right @[simp] theorem clog_one_left (n : ℕ) : clog 1 n = 0 := clog_of_left_le_one le_rfl _ #align nat.clog_one_left Nat.clog_one_left @[simp] theorem clog_one_right (b : ℕ) : clog b 1 = 0 := clog_of_right_le_one le_rfl _ #align nat.clog_one_right Nat.clog_one_right theorem clog_of_two_le {b n : ℕ} (hb : 1 < b) (hn : 2 ≤ n) : clog b n = clog b ((n + b - 1) / b) + 1 := by rw [clog, dif_pos (⟨hb, hn⟩ : 1 < b ∧ 1 < n)] #align nat.clog_of_two_le Nat.clog_of_two_le theorem clog_pos {b n : ℕ} (hb : 1 < b) (hn : 2 ≤ n) : 0 < clog b n := by rw [clog_of_two_le hb hn] exact zero_lt_succ _ #align nat.clog_pos Nat.clog_pos
Mathlib/Data/Nat/Log.lean
284
286
theorem clog_eq_one {b n : ℕ} (hn : 2 ≤ n) (h : n ≤ b) : clog b n = 1 := by
rw [clog_of_two_le (hn.trans h) hn, clog_of_right_le_one] rw [← Nat.lt_succ_iff, Nat.div_lt_iff_lt_mul] <;> omega
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.Measure.Count import Mathlib.Topology.IndicatorConstPointwise import Mathlib.MeasureTheory.Constructions.BorelSpace.Real #align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" assert_not_exists NormedSpace set_option autoImplicit true noncomputable section open Set hiding restrict restrict_apply open Filter ENNReal open Function (support) open scoped Classical open Topology NNReal ENNReal MeasureTheory namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc variable {α β γ δ : Type*} section Lintegral open SimpleFunc variable {m : MeasurableSpace α} {μ ν : Measure α} irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ := ⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ #align measure_theory.lintegral MeasureTheory.lintegral @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
Mathlib/MeasureTheory/Integral/Lebesgue.lean
82
86
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral] exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl) (le_iSup₂_of_le f le_rfl le_rfl)
import Mathlib.Combinatorics.SimpleGraph.Clique open Finset namespace SimpleGraph variable {V : Type*} [Fintype V] [DecidableEq V] (G H : SimpleGraph V) [DecidableRel G.Adj] {n r : ℕ} def IsTuranMaximal (r : ℕ) : Prop := G.CliqueFree (r + 1) ∧ ∀ (H : SimpleGraph V) [DecidableRel H.Adj], H.CliqueFree (r + 1) → H.edgeFinset.card ≤ G.edgeFinset.card variable {G H} lemma IsTuranMaximal.le_iff_eq (hG : G.IsTuranMaximal r) (hH : H.CliqueFree (r + 1)) : G ≤ H ↔ G = H := by classical exact ⟨fun hGH ↦ edgeFinset_inj.1 <| eq_of_subset_of_card_le (edgeFinset_subset_edgeFinset.2 hGH) (hG.2 _ hH), le_of_eq⟩ def turanGraph (n r : ℕ) : SimpleGraph (Fin n) where Adj v w := v % r ≠ w % r instance turanGraph.instDecidableRelAdj : DecidableRel (turanGraph n r).Adj := by dsimp only [turanGraph]; infer_instance @[simp] lemma turanGraph_zero : turanGraph n 0 = ⊤ := by ext a b; simp_rw [turanGraph, top_adj, Nat.mod_zero, not_iff_not, Fin.val_inj] @[simp]
Mathlib/Combinatorics/SimpleGraph/Turan.lean
54
62
theorem turanGraph_eq_top : turanGraph n r = ⊤ ↔ r = 0 ∨ n ≤ r := by
simp_rw [SimpleGraph.ext_iff, Function.funext_iff, turanGraph, top_adj, eq_iff_iff, not_iff_not] refine ⟨fun h ↦ ?_, ?_⟩ · contrapose! h use ⟨0, (Nat.pos_of_ne_zero h.1).trans h.2⟩, ⟨r, h.2⟩ simp [h.1.symm] · rintro (rfl | h) a b · simp [Fin.val_inj] · rw [Nat.mod_eq_of_lt (a.2.trans_le h), Nat.mod_eq_of_lt (b.2.trans_le h), Fin.val_inj]
import Mathlib.Topology.Category.TopCat.OpenNhds import Mathlib.Topology.Sheaves.Presheaf import Mathlib.Topology.Sheaves.SheafCondition.UniqueGluing import Mathlib.CategoryTheory.Adjunction.Evaluation import Mathlib.CategoryTheory.Limits.Types import Mathlib.CategoryTheory.Limits.Preserves.Filtered import Mathlib.CategoryTheory.Limits.Final import Mathlib.Tactic.CategoryTheory.Elementwise import Mathlib.Algebra.Category.Ring.Colimits import Mathlib.CategoryTheory.Sites.Pullback #align_import topology.sheaves.stalks from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8" noncomputable section universe v u v' u' open CategoryTheory open TopCat open CategoryTheory.Limits open TopologicalSpace open Opposite variable {C : Type u} [Category.{v} C] variable [HasColimits.{v} C] variable {X Y Z : TopCat.{v}} namespace TopCat.Presheaf variable (C) def stalkFunctor (x : X) : X.Presheaf C ⥤ C := (whiskeringLeft _ _ C).obj (OpenNhds.inclusion x).op ⋙ colim set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk_functor TopCat.Presheaf.stalkFunctor variable {C} def stalk (ℱ : X.Presheaf C) (x : X) : C := (stalkFunctor C x).obj ℱ set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk TopCat.Presheaf.stalk -- -- colimit ((open_nhds.inclusion x).op ⋙ ℱ) @[simp] theorem stalkFunctor_obj (ℱ : X.Presheaf C) (x : X) : (stalkFunctor C x).obj ℱ = ℱ.stalk x := rfl set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk_functor_obj TopCat.Presheaf.stalkFunctor_obj def germ (F : X.Presheaf C) {U : Opens X} (x : U) : F.obj (op U) ⟶ stalk F x := colimit.ι ((OpenNhds.inclusion x.1).op ⋙ F) (op ⟨U, x.2⟩) set_option linter.uppercaseLean3 false in #align Top.presheaf.germ TopCat.Presheaf.germ theorem germ_res (F : X.Presheaf C) {U V : Opens X} (i : U ⟶ V) (x : U) : F.map i.op ≫ germ F x = germ F (i x : V) := let i' : (⟨U, x.2⟩ : OpenNhds x.1) ⟶ ⟨V, (i x : V).2⟩ := i colimit.w ((OpenNhds.inclusion x.1).op ⋙ F) i'.op set_option linter.uppercaseLean3 false in #align Top.presheaf.germ_res TopCat.Presheaf.germ_res -- Porting note: `@[elementwise]` did not generate the best lemma when applied to `germ_res` attribute [local instance] ConcreteCategory.instFunLike in theorem germ_res_apply (F : X.Presheaf C) {U V : Opens X} (i : U ⟶ V) (x : U) [ConcreteCategory C] (s) : germ F x (F.map i.op s) = germ F (i x) s := by rw [← comp_apply, germ_res] set_option linter.uppercaseLean3 false in #align Top.presheaf.germ_res_apply TopCat.Presheaf.germ_res_apply @[ext] theorem stalk_hom_ext (F : X.Presheaf C) {x} {Y : C} {f₁ f₂ : F.stalk x ⟶ Y} (ih : ∀ (U : Opens X) (hxU : x ∈ U), F.germ ⟨x, hxU⟩ ≫ f₁ = F.germ ⟨x, hxU⟩ ≫ f₂) : f₁ = f₂ := colimit.hom_ext fun U => by induction' U using Opposite.rec with U; cases' U with U hxU; exact ih U hxU set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk_hom_ext TopCat.Presheaf.stalk_hom_ext @[reassoc (attr := simp), elementwise (attr := simp)] theorem stalkFunctor_map_germ {F G : X.Presheaf C} (U : Opens X) (x : U) (f : F ⟶ G) : germ F x ≫ (stalkFunctor C x.1).map f = f.app (op U) ≫ germ G x := colimit.ι_map (whiskerLeft (OpenNhds.inclusion x.1).op f) (op ⟨U, x.2⟩) set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk_functor_map_germ TopCat.Presheaf.stalkFunctor_map_germ variable (C) def stalkPushforward (f : X ⟶ Y) (F : X.Presheaf C) (x : X) : (f _* F).stalk (f x) ⟶ F.stalk x := by -- This is a hack; Lean doesn't like to elaborate the term written directly. -- Porting note: The original proof was `trans; swap`, but `trans` does nothing. refine ?_ ≫ colimit.pre _ (OpenNhds.map f x).op exact colim.map (whiskerRight (NatTrans.op (OpenNhds.inclusionMapIso f x).inv) F) set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk_pushforward TopCat.Presheaf.stalkPushforward @[reassoc (attr := simp), elementwise (attr := simp)] theorem stalkPushforward_germ (f : X ⟶ Y) (F : X.Presheaf C) (U : Opens Y) (x : (Opens.map f).obj U) : (f _* F).germ ⟨(f : X → Y) (x : X), x.2⟩ ≫ F.stalkPushforward C f x = F.germ x := by simp [germ, stalkPushforward] set_option linter.uppercaseLean3 false in #align Top.presheaf.stalk_pushforward_germ TopCat.Presheaf.stalkPushforward_germ -- Here are two other potential solutions, suggested by @fpvandoorn at -- <https://github.com/leanprover-community/mathlib/pull/1018#discussion_r283978240> -- However, I can't get the subsequent two proofs to work with either one. -- def stalkPushforward'' (f : X ⟶ Y) (ℱ : X.Presheaf C) (x : X) : -- (f _* ℱ).stalk (f x) ⟶ ℱ.stalk x := -- colim.map ((Functor.associator _ _ _).inv ≫ -- whiskerRight (NatTrans.op (OpenNhds.inclusionMapIso f x).inv) ℱ) ≫ -- colimit.pre ((OpenNhds.inclusion x).op ⋙ ℱ) (OpenNhds.map f x).op -- def stalkPushforward''' (f : X ⟶ Y) (ℱ : X.Presheaf C) (x : X) : -- (f _* ℱ).stalk (f x) ⟶ ℱ.stalk x := -- (colim.map (whiskerRight (NatTrans.op (OpenNhds.inclusionMapIso f x).inv) ℱ) : -- colim.obj ((OpenNhds.inclusion (f x) ⋙ Opens.map f).op ⋙ ℱ) ⟶ _) ≫ -- colimit.pre ((OpenNhds.inclusion x).op ⋙ ℱ) (OpenNhds.map f x).op namespace stalkPushforward @[simp]
Mathlib/Topology/Sheaves/Stalks.lean
174
179
theorem id (ℱ : X.Presheaf C) (x : X) : ℱ.stalkPushforward C (𝟙 X) x = (stalkFunctor C x).map (Pushforward.id ℱ).hom := by
ext simp only [stalkPushforward, germ, colim_map, ι_colimMap_assoc, whiskerRight_app] erw [CategoryTheory.Functor.map_id] simp [stalkFunctor]
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] 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 #align polynomial.nat_degree_C_mul_X Polynomial.natDegree_C_mul_X @[simp] theorem natDegree_monomial [DecidableEq R] (i : ℕ) (r : R) : natDegree (monomial i r) = if r = 0 then 0 else i := by split_ifs with hr · simp [hr] · rw [← C_mul_X_pow_eq_monomial, natDegree_C_mul_X_pow i r hr] #align polynomial.nat_degree_monomial Polynomial.natDegree_monomial theorem natDegree_monomial_le (a : R) {m : ℕ} : (monomial m a).natDegree ≤ m := by classical rw [Polynomial.natDegree_monomial] split_ifs exacts [Nat.zero_le _, le_rfl] #align polynomial.nat_degree_monomial_le Polynomial.natDegree_monomial_le theorem natDegree_monomial_eq (i : ℕ) {r : R} (r0 : r ≠ 0) : (monomial i r).natDegree = i := letI := Classical.decEq R Eq.trans (natDegree_monomial _ _) (if_neg r0) #align polynomial.nat_degree_monomial_eq Polynomial.natDegree_monomial_eq theorem coeff_eq_zero_of_degree_lt (h : degree p < n) : coeff p n = 0 := Classical.not_not.1 (mt le_degree_of_ne_zero (not_le_of_gt h)) #align polynomial.coeff_eq_zero_of_degree_lt Polynomial.coeff_eq_zero_of_degree_lt theorem coeff_eq_zero_of_natDegree_lt {p : R[X]} {n : ℕ} (h : p.natDegree < n) : p.coeff n = 0 := by apply coeff_eq_zero_of_degree_lt by_cases hp : p = 0 · subst hp exact WithBot.bot_lt_coe n · rwa [degree_eq_natDegree hp, Nat.cast_lt] #align polynomial.coeff_eq_zero_of_nat_degree_lt Polynomial.coeff_eq_zero_of_natDegree_lt theorem ext_iff_natDegree_le {p q : R[X]} {n : ℕ} (hp : p.natDegree ≤ n) (hq : q.natDegree ≤ n) : p = q ↔ ∀ i ≤ n, p.coeff i = q.coeff i := by refine Iff.trans Polynomial.ext_iff ?_ refine forall_congr' fun i => ⟨fun h _ => h, fun h => ?_⟩ refine (le_or_lt i n).elim h fun k => ?_ exact (coeff_eq_zero_of_natDegree_lt (hp.trans_lt k)).trans (coeff_eq_zero_of_natDegree_lt (hq.trans_lt k)).symm #align polynomial.ext_iff_nat_degree_le Polynomial.ext_iff_natDegree_le theorem ext_iff_degree_le {p q : R[X]} {n : ℕ} (hp : p.degree ≤ n) (hq : q.degree ≤ n) : p = q ↔ ∀ i ≤ n, p.coeff i = q.coeff i := ext_iff_natDegree_le (natDegree_le_of_degree_le hp) (natDegree_le_of_degree_le hq) #align polynomial.ext_iff_degree_le Polynomial.ext_iff_degree_le @[simp] theorem coeff_natDegree_succ_eq_zero {p : R[X]} : p.coeff (p.natDegree + 1) = 0 := coeff_eq_zero_of_natDegree_lt (lt_add_one _) #align polynomial.coeff_nat_degree_succ_eq_zero Polynomial.coeff_natDegree_succ_eq_zero -- We need the explicit `Decidable` argument here because an exotic one shows up in a moment!
Mathlib/Algebra/Polynomial/Degree/Definitions.lean
384
388
theorem ite_le_natDegree_coeff (p : R[X]) (n : ℕ) (I : Decidable (n < 1 + natDegree p)) : @ite _ (n < 1 + natDegree p) I (coeff p n) 0 = coeff p n := by
split_ifs with h · rfl · exact (coeff_eq_zero_of_natDegree_lt (not_le.1 fun w => h (Nat.lt_one_add_iff.2 w))).symm
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right section Symmetric variable (r : α → α → Prop) [DecidableRel r] {s s₁ s₂ t t₁ t₂ : Finset α} {a b : α} variable {r} (hr : Symmetric r) @[simp]
Mathlib/Combinatorics/SimpleGraph/Density.lean
272
274
theorem swap_mem_interedges_iff {x : α × α} : x.swap ∈ interedges r s t ↔ x ∈ interedges r t s := by
rw [mem_interedges_iff, mem_interedges_iff, hr.iff] exact and_left_comm
import Mathlib.Analysis.InnerProductSpace.Adjoint import Mathlib.Analysis.Matrix import Mathlib.Analysis.RCLike.Basic import Mathlib.LinearAlgebra.UnitaryGroup import Mathlib.Topology.UniformSpace.Matrix #align_import analysis.normed_space.star.matrix from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6" open scoped Matrix variable {𝕜 m n l E : Type*} section EntrywiseSupNorm variable [RCLike 𝕜] [Fintype n] [DecidableEq n]
Mathlib/Analysis/NormedSpace/Star/Matrix.lean
49
77
theorem entry_norm_bound_of_unitary {U : Matrix n n 𝕜} (hU : U ∈ Matrix.unitaryGroup n 𝕜) (i j : n) : ‖U i j‖ ≤ 1 := by
-- The norm squared of an entry is at most the L2 norm of its row. have norm_sum : ‖U i j‖ ^ 2 ≤ ∑ x, ‖U i x‖ ^ 2 := by apply Multiset.single_le_sum · intro x h_x rw [Multiset.mem_map] at h_x cases' h_x with a h_a rw [← h_a.2] apply sq_nonneg · rw [Multiset.mem_map] use j simp only [eq_self_iff_true, Finset.mem_univ_val, and_self_iff, sq_eq_sq] -- The L2 norm of a row is a diagonal entry of U * Uᴴ have diag_eq_norm_sum : (U * Uᴴ) i i = (∑ x : n, ‖U i x‖ ^ 2 : ℝ) := by simp only [Matrix.mul_apply, Matrix.conjTranspose_apply, ← starRingEnd_apply, RCLike.mul_conj, RCLike.normSq_eq_def', RCLike.ofReal_pow]; norm_cast -- The L2 norm of a row is a diagonal entry of U * Uᴴ, real part have re_diag_eq_norm_sum : RCLike.re ((U * Uᴴ) i i) = ∑ x : n, ‖U i x‖ ^ 2 := by rw [RCLike.ext_iff] at diag_eq_norm_sum rw [diag_eq_norm_sum.1] norm_cast -- Since U is unitary, the diagonal entries of U * Uᴴ are all 1 have mul_eq_one : U * Uᴴ = 1 := unitary.mul_star_self_of_mem hU have diag_eq_one : RCLike.re ((U * Uᴴ) i i) = 1 := by simp only [mul_eq_one, eq_self_iff_true, Matrix.one_apply_eq, RCLike.one_re] -- Putting it all together rw [← sq_le_one_iff (norm_nonneg (U i j)), ← diag_eq_one, re_diag_eq_norm_sum] exact norm_sum
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 RingHoms variable (p) (r : ℚ) def modPart : ℤ := r.num * gcdA r.den p % p #align padic_int.mod_part PadicInt.modPart variable {p} theorem modPart_lt_p : modPart p r < p := by convert Int.emod_lt _ _ · simp · exact mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_lt_p PadicInt.modPart_lt_p theorem modPart_nonneg : 0 ≤ modPart p r := Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_nonneg PadicInt.modPart_nonneg theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by rw [isUnit_iff] apply le_antisymm (r.den : ℤ_[p]).2 rw [← not_lt, coe_natCast] intro norm_denom_lt have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by congr rw_mod_cast [@Rat.mul_den_eq_num r] rw [padicNormE.mul] at hr have key : ‖(r.num : ℚ_[p])‖ < 1 := by calc _ = _ := hr.symm _ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one _ = 1 := mul_one 1 have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt] exact ⟨key, norm_denom_lt⟩ apply hp_prime.1.not_dvd_one rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast] #align padic_int.is_unit_denom PadicInt.isUnit_den theorem norm_sub_modPart_aux (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : ↑p ∣ r.num - r.num * r.den.gcdA p % p * ↑r.den := by rw [← ZMod.intCast_zmod_eq_zero_iff_dvd] simp only [Int.cast_natCast, ZMod.natCast_mod, Int.cast_mul, Int.cast_sub] have := congr_arg (fun x => x % p : ℤ → ZMod p) (gcd_eq_gcd_ab r.den p) simp only [Int.cast_natCast, CharP.cast_eq_zero, EuclideanDomain.mod_zero, Int.cast_add, Int.cast_mul, zero_mul, add_zero] at this push_cast rw [mul_right_comm, mul_assoc, ← this] suffices rdcp : r.den.Coprime p by rw [rdcp.gcd_eq_one] simp only [mul_one, cast_one, sub_self] apply Coprime.symm apply (coprime_or_dvd_of_prime hp_prime.1 _).resolve_right rw [← Int.natCast_dvd_natCast, ← norm_int_lt_one_iff_dvd, not_lt] apply ge_of_eq rw [← isUnit_iff] exact isUnit_den r h #align padic_int.norm_sub_mod_part_aux PadicInt.norm_sub_modPart_aux theorem norm_sub_modPart (h : ‖(r : ℚ_[p])‖ ≤ 1) : ‖(⟨r, h⟩ - modPart p r : ℤ_[p])‖ < 1 := by let n := modPart p r rw [norm_lt_one_iff_dvd, ← (isUnit_den r h).dvd_mul_right] suffices ↑p ∣ r.num - n * r.den by convert (Int.castRingHom ℤ_[p]).map_dvd this simp only [sub_mul, Int.cast_natCast, eq_intCast, Int.cast_mul, sub_left_inj, Int.cast_sub] apply Subtype.coe_injective simp only [coe_mul, Subtype.coe_mk, coe_natCast] rw_mod_cast [@Rat.mul_den_eq_num r] rfl exact norm_sub_modPart_aux r h #align padic_int.norm_sub_mod_part PadicInt.norm_sub_modPart theorem exists_mem_range_of_norm_rat_le_one (h : ‖(r : ℚ_[p])‖ ≤ 1) : ∃ n : ℤ, 0 ≤ n ∧ n < p ∧ ‖(⟨r, h⟩ - n : ℤ_[p])‖ < 1 := ⟨modPart p r, modPart_nonneg _, modPart_lt_p _, norm_sub_modPart _ h⟩ #align padic_int.exists_mem_range_of_norm_rat_le_one PadicInt.exists_mem_range_of_norm_rat_le_one
Mathlib/NumberTheory/Padics/RingHoms.lean
142
150
theorem zmod_congr_of_sub_mem_span_aux (n : ℕ) (x : ℤ_[p]) (a b : ℤ) (ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) (hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
rw [Ideal.mem_span_singleton] at ha hb rw [← sub_eq_zero, ← Int.cast_sub, ZMod.intCast_zmod_eq_zero_iff_dvd, Int.natCast_pow] rw [← dvd_neg, neg_sub] at ha have := dvd_add ha hb rwa [sub_eq_add_neg, sub_eq_add_neg, add_assoc, neg_add_cancel_left, ← sub_eq_add_neg, ← Int.cast_sub, pow_p_dvd_int_iff] at this
import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Algebra.Order.Module.Pointwise import Mathlib.Data.Real.Archimedean #align_import data.real.pointwise from "leanprover-community/mathlib"@"dde670c9a3f503647fd5bfdf1037bad526d3397a" open Set open Pointwise variable {ι : Sort*} {α : Type*} [LinearOrderedField α] section MulActionWithZero variable [MulActionWithZero α ℝ] [OrderedSMul α ℝ] {a : α}
Mathlib/Data/Real/Pointwise.lean
37
46
theorem Real.sInf_smul_of_nonneg (ha : 0 ≤ a) (s : Set ℝ) : sInf (a • s) = a • sInf s := by
obtain rfl | hs := s.eq_empty_or_nonempty · rw [smul_set_empty, Real.sInf_empty, smul_zero] obtain rfl | ha' := ha.eq_or_lt · rw [zero_smul_set hs, zero_smul] exact csInf_singleton 0 by_cases h : BddBelow s · exact ((OrderIso.smulRight ha').map_csInf' hs h).symm · rw [Real.sInf_of_not_bddBelow (mt (bddBelow_smul_iff_of_pos ha').1 h), Real.sInf_of_not_bddBelow h, smul_zero]
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm] #align inv_mul_le_iff' inv_mul_le_iff' theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h] #align mul_inv_le_iff mul_inv_le_iff theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by rw [mul_comm, inv_mul_le_iff' h] #align mul_inv_le_iff' mul_inv_le_iff' theorem div_self_le_one (a : α) : a / a ≤ 1 := if h : a = 0 then by simp [h] else by simp [h] #align div_self_le_one div_self_le_one theorem inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_lt_iff' h #align inv_mul_lt_iff inv_mul_lt_iff theorem inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b := by rw [inv_mul_lt_iff h, mul_comm] #align inv_mul_lt_iff' inv_mul_lt_iff' theorem mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c := by rw [mul_comm, inv_mul_lt_iff h] #align mul_inv_lt_iff mul_inv_lt_iff theorem mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b := by rw [mul_comm, inv_mul_lt_iff' h] #align mul_inv_lt_iff' mul_inv_lt_iff' theorem inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a := by rw [inv_eq_one_div] exact div_le_iff ha #align inv_pos_le_iff_one_le_mul inv_pos_le_iff_one_le_mul theorem inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by rw [inv_eq_one_div] exact div_le_iff' ha #align inv_pos_le_iff_one_le_mul' inv_pos_le_iff_one_le_mul' theorem inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a := by rw [inv_eq_one_div] exact div_lt_iff ha #align inv_pos_lt_iff_one_lt_mul inv_pos_lt_iff_one_lt_mul theorem inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b := by rw [inv_eq_one_div] exact div_lt_iff' ha #align inv_pos_lt_iff_one_lt_mul' inv_pos_lt_iff_one_lt_mul' theorem div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c := by rcases eq_or_lt_of_le hb with (rfl | hb') · simp only [div_zero, hc] · rwa [div_le_iff hb'] #align div_le_of_nonneg_of_le_mul div_le_of_nonneg_of_le_mul lemma mul_le_of_nonneg_of_le_div (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ b / c) : a * c ≤ b := by obtain rfl | hc := hc.eq_or_lt · simpa using hb · rwa [le_div_iff hc] at h #align mul_le_of_nonneg_of_le_div mul_le_of_nonneg_of_le_div theorem div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 := div_le_of_nonneg_of_le_mul hb zero_le_one <| by rwa [one_mul] #align div_le_one_of_le div_le_one_of_le lemma mul_inv_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a * b⁻¹ ≤ 1 := by simpa only [← div_eq_mul_inv] using div_le_one_of_le h hb lemma inv_mul_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : b⁻¹ * a ≤ 1 := by simpa only [← div_eq_inv_mul] using div_le_one_of_le h hb @[gcongr] theorem inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := by rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul] #align inv_le_inv_of_le inv_le_inv_of_le theorem inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul] #align inv_le_inv inv_le_inv theorem inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv] #align inv_le inv_le theorem inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a := (inv_le ha ((inv_pos.2 ha).trans_le h)).1 h #align inv_le_of_inv_le inv_le_of_inv_le theorem le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv] #align le_inv le_inv theorem inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a := lt_iff_lt_of_le_iff_le (inv_le_inv hb ha) #align inv_lt_inv inv_lt_inv @[gcongr] theorem inv_lt_inv_of_lt (hb : 0 < b) (h : b < a) : a⁻¹ < b⁻¹ := (inv_lt_inv (hb.trans h) hb).2 h #align inv_lt_inv_of_lt inv_lt_inv_of_lt theorem inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a := lt_iff_lt_of_le_iff_le (le_inv hb ha) #align inv_lt inv_lt theorem inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a := (inv_lt ha ((inv_pos.2 ha).trans h)).1 h #align inv_lt_of_inv_lt inv_lt_of_inv_lt theorem lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ := lt_iff_lt_of_le_iff_le (inv_le hb ha) #align lt_inv lt_inv theorem inv_lt_one (ha : 1 < a) : a⁻¹ < 1 := by rwa [inv_lt (zero_lt_one.trans ha) zero_lt_one, inv_one] #align inv_lt_one inv_lt_one theorem one_lt_inv (h₁ : 0 < a) (h₂ : a < 1) : 1 < a⁻¹ := by rwa [lt_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_lt_inv one_lt_inv theorem inv_le_one (ha : 1 ≤ a) : a⁻¹ ≤ 1 := by rwa [inv_le (zero_lt_one.trans_le ha) zero_lt_one, inv_one] #align inv_le_one inv_le_one theorem one_le_inv (h₁ : 0 < a) (h₂ : a ≤ 1) : 1 ≤ a⁻¹ := by rwa [le_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_le_inv one_le_inv theorem inv_lt_one_iff_of_pos (h₀ : 0 < a) : a⁻¹ < 1 ↔ 1 < a := ⟨fun h₁ => inv_inv a ▸ one_lt_inv (inv_pos.2 h₀) h₁, inv_lt_one⟩ #align inv_lt_one_iff_of_pos inv_lt_one_iff_of_pos theorem inv_lt_one_iff : a⁻¹ < 1 ↔ a ≤ 0 ∨ 1 < a := by rcases le_or_lt a 0 with ha | ha · simp [ha, (inv_nonpos.2 ha).trans_lt zero_lt_one] · simp only [ha.not_le, false_or_iff, inv_lt_one_iff_of_pos ha] #align inv_lt_one_iff inv_lt_one_iff theorem one_lt_inv_iff : 1 < a⁻¹ ↔ 0 < a ∧ a < 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans h), inv_inv a ▸ inv_lt_one h⟩, and_imp.2 one_lt_inv⟩ #align one_lt_inv_iff one_lt_inv_iff theorem inv_le_one_iff : a⁻¹ ≤ 1 ↔ a ≤ 0 ∨ 1 ≤ a := by rcases em (a = 1) with (rfl | ha) · simp [le_rfl] · simp only [Ne.le_iff_lt (Ne.symm ha), Ne.le_iff_lt (mt inv_eq_one.1 ha), inv_lt_one_iff] #align inv_le_one_iff inv_le_one_iff theorem one_le_inv_iff : 1 ≤ a⁻¹ ↔ 0 < a ∧ a ≤ 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans_le h), inv_inv a ▸ inv_le_one h⟩, and_imp.2 one_le_inv⟩ #align one_le_inv_iff one_le_inv_iff @[mono, gcongr] lemma div_le_div_of_nonneg_right (hab : a ≤ b) (hc : 0 ≤ c) : a / c ≤ b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_le_mul_of_nonneg_right hab (one_div_nonneg.2 hc) #align div_le_div_of_le_of_nonneg div_le_div_of_nonneg_right @[gcongr] lemma div_lt_div_of_pos_right (h : a < b) (hc : 0 < c) : a / c < b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_lt_mul_of_pos_right h (one_div_pos.2 hc) #align div_lt_div_of_lt div_lt_div_of_pos_right -- Not a `mono` lemma b/c `div_le_div` is strictly more general @[gcongr] lemma div_le_div_of_nonneg_left (ha : 0 ≤ a) (hc : 0 < c) (h : c ≤ b) : a / b ≤ a / c := by rw [div_eq_mul_inv, div_eq_mul_inv] exact mul_le_mul_of_nonneg_left ((inv_le_inv (hc.trans_le h) hc).mpr h) ha #align div_le_div_of_le_left div_le_div_of_nonneg_left @[gcongr] lemma div_lt_div_of_pos_left (ha : 0 < a) (hc : 0 < c) (h : c < b) : a / b < a / c := by simpa only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv (hc.trans h) hc] #align div_lt_div_of_lt_left div_lt_div_of_pos_left -- 2024-02-16 @[deprecated] alias div_le_div_of_le_of_nonneg := div_le_div_of_nonneg_right @[deprecated] alias div_lt_div_of_lt := div_lt_div_of_pos_right @[deprecated] alias div_le_div_of_le_left := div_le_div_of_nonneg_left @[deprecated] alias div_lt_div_of_lt_left := div_lt_div_of_pos_left @[deprecated div_le_div_of_nonneg_right (since := "2024-02-16")] lemma div_le_div_of_le (hc : 0 ≤ c) (hab : a ≤ b) : a / c ≤ b / c := div_le_div_of_nonneg_right hab hc #align div_le_div_of_le div_le_div_of_le theorem div_le_div_right (hc : 0 < c) : a / c ≤ b / c ↔ a ≤ b := ⟨le_imp_le_of_lt_imp_lt fun hab ↦ div_lt_div_of_pos_right hab hc, fun hab ↦ div_le_div_of_nonneg_right hab hc.le⟩ #align div_le_div_right div_le_div_right theorem div_lt_div_right (hc : 0 < c) : a / c < b / c ↔ a < b := lt_iff_lt_of_le_iff_le <| div_le_div_right hc #align div_lt_div_right div_lt_div_right theorem div_lt_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b < a / c ↔ c < b := by simp only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv hb hc] #align div_lt_div_left div_lt_div_left theorem div_le_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b ≤ a / c ↔ c ≤ b := le_iff_le_iff_lt_iff_lt.2 (div_lt_div_left ha hc hb) #align div_le_div_left div_le_div_left theorem div_lt_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b < c / d ↔ a * d < c * b := by rw [lt_div_iff d0, div_mul_eq_mul_div, div_lt_iff b0] #align div_lt_div_iff div_lt_div_iff theorem div_le_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b ≤ c / d ↔ a * d ≤ c * b := by rw [le_div_iff d0, div_mul_eq_mul_div, div_le_iff b0] #align div_le_div_iff div_le_div_iff @[mono, gcongr] theorem div_le_div (hc : 0 ≤ c) (hac : a ≤ c) (hd : 0 < d) (hbd : d ≤ b) : a / b ≤ c / d := by rw [div_le_div_iff (hd.trans_le hbd) hd] exact mul_le_mul hac hbd hd.le hc #align div_le_div div_le_div @[gcongr] theorem div_lt_div (hac : a < c) (hbd : d ≤ b) (c0 : 0 ≤ c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans_le hbd) d0).2 (mul_lt_mul hac hbd d0 c0) #align div_lt_div div_lt_div theorem div_lt_div' (hac : a ≤ c) (hbd : d < b) (c0 : 0 < c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans hbd) d0).2 (mul_lt_mul' hac hbd d0.le c0) #align div_lt_div' div_lt_div' theorem div_le_self (ha : 0 ≤ a) (hb : 1 ≤ b) : a / b ≤ a := by simpa only [div_one] using div_le_div_of_nonneg_left ha zero_lt_one hb #align div_le_self div_le_self theorem div_lt_self (ha : 0 < a) (hb : 1 < b) : a / b < a := by simpa only [div_one] using div_lt_div_of_pos_left ha zero_lt_one hb #align div_lt_self div_lt_self theorem le_div_self (ha : 0 ≤ a) (hb₀ : 0 < b) (hb₁ : b ≤ 1) : a ≤ a / b := by simpa only [div_one] using div_le_div_of_nonneg_left ha hb₀ hb₁ #align le_div_self le_div_self theorem one_le_div (hb : 0 < b) : 1 ≤ a / b ↔ b ≤ a := by rw [le_div_iff hb, one_mul] #align one_le_div one_le_div theorem div_le_one (hb : 0 < b) : a / b ≤ 1 ↔ a ≤ b := by rw [div_le_iff hb, one_mul] #align div_le_one div_le_one theorem one_lt_div (hb : 0 < b) : 1 < a / b ↔ b < a := by rw [lt_div_iff hb, one_mul] #align one_lt_div one_lt_div theorem div_lt_one (hb : 0 < b) : a / b < 1 ↔ a < b := by rw [div_lt_iff hb, one_mul] #align div_lt_one div_lt_one theorem one_div_le (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ b ↔ 1 / b ≤ a := by simpa using inv_le ha hb #align one_div_le one_div_le theorem one_div_lt (ha : 0 < a) (hb : 0 < b) : 1 / a < b ↔ 1 / b < a := by simpa using inv_lt ha hb #align one_div_lt one_div_lt theorem le_one_div (ha : 0 < a) (hb : 0 < b) : a ≤ 1 / b ↔ b ≤ 1 / a := by simpa using le_inv ha hb #align le_one_div le_one_div theorem lt_one_div (ha : 0 < a) (hb : 0 < b) : a < 1 / b ↔ b < 1 / a := by simpa using lt_inv ha hb #align lt_one_div lt_one_div theorem one_div_le_one_div_of_le (ha : 0 < a) (h : a ≤ b) : 1 / b ≤ 1 / a := by simpa using inv_le_inv_of_le ha h #align one_div_le_one_div_of_le one_div_le_one_div_of_le theorem one_div_lt_one_div_of_lt (ha : 0 < a) (h : a < b) : 1 / b < 1 / a := by rwa [lt_div_iff' ha, ← div_eq_mul_one_div, div_lt_one (ha.trans h)] #align one_div_lt_one_div_of_lt one_div_lt_one_div_of_lt theorem le_of_one_div_le_one_div (ha : 0 < a) (h : 1 / a ≤ 1 / b) : b ≤ a := le_imp_le_of_lt_imp_lt (one_div_lt_one_div_of_lt ha) h #align le_of_one_div_le_one_div le_of_one_div_le_one_div theorem lt_of_one_div_lt_one_div (ha : 0 < a) (h : 1 / a < 1 / b) : b < a := lt_imp_lt_of_le_imp_le (one_div_le_one_div_of_le ha) h #align lt_of_one_div_lt_one_div lt_of_one_div_lt_one_div theorem one_div_le_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ 1 / b ↔ b ≤ a := div_le_div_left zero_lt_one ha hb #align one_div_le_one_div one_div_le_one_div theorem one_div_lt_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a < 1 / b ↔ b < a := div_lt_div_left zero_lt_one ha hb #align one_div_lt_one_div one_div_lt_one_div theorem one_lt_one_div (h1 : 0 < a) (h2 : a < 1) : 1 < 1 / a := by rwa [lt_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_lt_one_div one_lt_one_div
Mathlib/Algebra/Order/Field/Basic.lean
425
426
theorem one_le_one_div (h1 : 0 < a) (h2 : a ≤ 1) : 1 ≤ 1 / a := by
rwa [le_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one]
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]
Mathlib/Data/Matrix/Block.lean
161
165
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
import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Analysis.NormedSpace.Real #align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def log (x : ℝ) : ℝ := if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ #align real.log Real.log theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ := dif_neg hx #align real.log_of_ne_zero Real.log_of_ne_zero theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by rw [log_of_ne_zero hx.ne'] congr exact abs_of_pos hx #align real.log_of_pos Real.log_of_pos theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk] #align real.exp_log_eq_abs Real.exp_log_eq_abs theorem exp_log (hx : 0 < x) : exp (log x) = x := by rw [exp_log_eq_abs hx.ne'] exact abs_of_pos hx #align real.exp_log Real.exp_log theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by rw [exp_log_eq_abs (ne_of_lt hx)] exact abs_of_neg hx #align real.exp_log_of_neg Real.exp_log_of_neg theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by by_cases h_zero : x = 0 · rw [h_zero, log, dif_pos rfl, exp_zero] exact zero_le_one · rw [exp_log_eq_abs h_zero] exact le_abs_self _ #align real.le_exp_log Real.le_exp_log @[simp] theorem log_exp (x : ℝ) : log (exp x) = x := exp_injective <| exp_log (exp_pos x) #align real.log_exp Real.log_exp theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩ #align real.surj_on_log Real.surjOn_log theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩ #align real.log_surjective Real.log_surjective @[simp] theorem range_log : range log = univ := log_surjective.range_eq #align real.range_log Real.range_log @[simp] theorem log_zero : log 0 = 0 := dif_pos rfl #align real.log_zero Real.log_zero @[simp] theorem log_one : log 1 = 0 := exp_injective <| by rw [exp_log zero_lt_one, exp_zero] #align real.log_one Real.log_one @[simp] theorem log_abs (x : ℝ) : log |x| = log x := by by_cases h : x = 0 · simp [h] · rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs] #align real.log_abs Real.log_abs @[simp]
Mathlib/Analysis/SpecialFunctions/Log/Basic.lean
111
111
theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by
rw [← log_abs x, ← log_abs (-x), abs_neg]
import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.OrdConnected #align_import data.set.intervals.proj_Icc from "leanprover-community/mathlib"@"4e24c4bfcff371c71f7ba22050308aa17815626c" variable {α β : Type*} [LinearOrder α] open Function namespace Set def projIci (a x : α) : Ici a := ⟨max a x, le_max_left _ _⟩ #align set.proj_Ici Set.projIci def projIic (b x : α) : Iic b := ⟨min b x, min_le_left _ _⟩ #align set.proj_Iic Set.projIic def projIcc (a b : α) (h : a ≤ b) (x : α) : Icc a b := ⟨max a (min b x), le_max_left _ _, max_le h (min_le_left _ _)⟩ #align set.proj_Icc Set.projIcc variable {a b : α} (h : a ≤ b) {x : α} @[norm_cast] theorem coe_projIci (a x : α) : (projIci a x : α) = max a x := rfl #align set.coe_proj_Ici Set.coe_projIci @[norm_cast] theorem coe_projIic (b x : α) : (projIic b x : α) = min b x := rfl #align set.coe_proj_Iic Set.coe_projIic @[norm_cast] theorem coe_projIcc (a b : α) (h : a ≤ b) (x : α) : (projIcc a b h x : α) = max a (min b x) := rfl #align set.coe_proj_Icc Set.coe_projIcc theorem projIci_of_le (hx : x ≤ a) : projIci a x = ⟨a, le_rfl⟩ := Subtype.ext <| max_eq_left hx #align set.proj_Ici_of_le Set.projIci_of_le theorem projIic_of_le (hx : b ≤ x) : projIic b x = ⟨b, le_rfl⟩ := Subtype.ext <| min_eq_left hx #align set.proj_Iic_of_le Set.projIic_of_le
Mathlib/Order/Interval/Set/ProjIcc.lean
72
73
theorem projIcc_of_le_left (hx : x ≤ a) : projIcc a b h x = ⟨a, left_mem_Icc.2 h⟩ := by
simp [projIcc, hx, hx.trans h]
import Mathlib.RingTheory.Nilpotent.Lemmas import Mathlib.RingTheory.Ideal.QuotientOperations #align_import ring_theory.quotient_nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff" theorem Ideal.isRadical_iff_quotient_reduced {R : Type*} [CommRing R] (I : Ideal R) : I.IsRadical ↔ IsReduced (R ⧸ I) := by conv_lhs => rw [← @Ideal.mk_ker R _ I] exact RingHom.ker_isRadical_iff_reduced_of_surjective (@Ideal.Quotient.mk_surjective R _ I) #align ideal.is_radical_iff_quotient_reduced Ideal.isRadical_iff_quotient_reduced variable {R S : Type*} [CommSemiring R] [CommRing S] [Algebra R S] (I : Ideal S) theorem Ideal.IsNilpotent.induction_on (hI : IsNilpotent I) {P : ∀ ⦃S : Type _⦄ [CommRing S], Ideal S → Prop} (h₁ : ∀ ⦃S : Type _⦄ [CommRing S], ∀ I : Ideal S, I ^ 2 = ⊥ → P I) (h₂ : ∀ ⦃S : Type _⦄ [CommRing S], ∀ I J : Ideal S, I ≤ J → P I → P (J.map (Ideal.Quotient.mk I)) → P J) : P I := by obtain ⟨n, hI : I ^ n = ⊥⟩ := hI induction' n using Nat.strong_induction_on with n H generalizing S by_cases hI' : I = ⊥ · subst hI' apply h₁ rw [← Ideal.zero_eq_bot, zero_pow two_ne_zero] cases' n with n · rw [pow_zero, Ideal.one_eq_top] at hI haveI := subsingleton_of_bot_eq_top hI.symm exact (hI' (Subsingleton.elim _ _)).elim cases' n with n · rw [pow_one] at hI exact (hI' hI).elim apply h₂ (I ^ 2) _ (Ideal.pow_le_self two_ne_zero) · apply H n.succ _ (I ^ 2) · rw [← pow_mul, eq_bot_iff, ← hI, Nat.succ_eq_add_one] apply Ideal.pow_le_pow_right (by omega) · exact n.succ.lt_succ_self · apply h₁ rw [← Ideal.map_pow, Ideal.map_quotient_self] #align ideal.is_nilpotent.induction_on Ideal.IsNilpotent.induction_on
Mathlib/RingTheory/QuotientNilpotent.lean
54
78
theorem IsNilpotent.isUnit_quotient_mk_iff {R : Type*} [CommRing R] {I : Ideal R} (hI : IsNilpotent I) {x : R} : IsUnit (Ideal.Quotient.mk I x) ↔ IsUnit x := by
refine ⟨?_, fun h => h.map <| Ideal.Quotient.mk I⟩ revert x apply Ideal.IsNilpotent.induction_on (R := R) (S := R) I hI <;> clear hI I swap · introv e h₁ h₂ h₃ apply h₁ apply h₂ exact h₃.map ((DoubleQuot.quotQuotEquivQuotSup I J).trans (Ideal.quotEquivOfEq (sup_eq_right.mpr e))).symm.toRingHom · introv e H obtain ⟨y, hy⟩ := Ideal.Quotient.mk_surjective (↑H.unit⁻¹ : S ⧸ I) have : Ideal.Quotient.mk I (x * y) = Ideal.Quotient.mk I 1 := by rw [map_one, _root_.map_mul, hy, IsUnit.mul_val_inv] rw [Ideal.Quotient.eq] at this have : (x * y - 1) ^ 2 = 0 := by rw [← Ideal.mem_bot, ← e] exact Ideal.pow_mem_pow this _ have : x * (y * (2 - x * y)) = 1 := by rw [eq_comm, ← sub_eq_zero, ← this] ring exact isUnit_of_mul_eq_one _ _ this
import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Prod import Mathlib.Data.Fintype.Pi import Mathlib.Data.Vector.Basic import Mathlib.Data.PFun import Mathlib.Logic.Function.Iterate import Mathlib.Order.Basic import Mathlib.Tactic.ApplyFun #align_import computability.turing_machine from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" assert_not_exists MonoidWithZero open Relation open Nat (iterate) open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply' iterate_zero_apply) namespace Turing def BlankExtends {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop := ∃ n, l₂ = l₁ ++ List.replicate n default #align turing.blank_extends Turing.BlankExtends @[refl] theorem BlankExtends.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankExtends l l := ⟨0, by simp⟩ #align turing.blank_extends.refl Turing.BlankExtends.refl @[trans] theorem BlankExtends.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} : BlankExtends l₁ l₂ → BlankExtends l₂ l₃ → BlankExtends l₁ l₃ := by rintro ⟨i, rfl⟩ ⟨j, rfl⟩ exact ⟨i + j, by simp [List.replicate_add]⟩ #align turing.blank_extends.trans Turing.BlankExtends.trans theorem BlankExtends.below_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} : BlankExtends l l₁ → BlankExtends l l₂ → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h; use j - i simp only [List.length_append, Nat.add_le_add_iff_left, List.length_replicate] at h simp only [← List.replicate_add, Nat.add_sub_cancel' h, List.append_assoc] #align turing.blank_extends.below_of_le Turing.BlankExtends.below_of_le def BlankExtends.above {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} (h₁ : BlankExtends l l₁) (h₂ : BlankExtends l l₂) : { l' // BlankExtends l₁ l' ∧ BlankExtends l₂ l' } := if h : l₁.length ≤ l₂.length then ⟨l₂, h₁.below_of_le h₂ h, BlankExtends.refl _⟩ else ⟨l₁, BlankExtends.refl _, h₂.below_of_le h₁ (le_of_not_ge h)⟩ #align turing.blank_extends.above Turing.BlankExtends.above theorem BlankExtends.above_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} : BlankExtends l₁ l → BlankExtends l₂ l → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by rintro ⟨i, rfl⟩ ⟨j, e⟩ h; use i - j refine List.append_cancel_right (e.symm.trans ?_) rw [List.append_assoc, ← List.replicate_add, Nat.sub_add_cancel] apply_fun List.length at e simp only [List.length_append, List.length_replicate] at e rwa [← Nat.add_le_add_iff_left, e, Nat.add_le_add_iff_right] #align turing.blank_extends.above_of_le Turing.BlankExtends.above_of_le def BlankRel {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop := BlankExtends l₁ l₂ ∨ BlankExtends l₂ l₁ #align turing.blank_rel Turing.BlankRel @[refl] theorem BlankRel.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankRel l l := Or.inl (BlankExtends.refl _) #align turing.blank_rel.refl Turing.BlankRel.refl @[symm] theorem BlankRel.symm {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₁ := Or.symm #align turing.blank_rel.symm Turing.BlankRel.symm @[trans] theorem BlankRel.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₃ → BlankRel l₁ l₃ := by rintro (h₁ | h₁) (h₂ | h₂) · exact Or.inl (h₁.trans h₂) · rcases le_total l₁.length l₃.length with h | h · exact Or.inl (h₁.above_of_le h₂ h) · exact Or.inr (h₂.above_of_le h₁ h) · rcases le_total l₁.length l₃.length with h | h · exact Or.inl (h₁.below_of_le h₂ h) · exact Or.inr (h₂.below_of_le h₁ h) · exact Or.inr (h₂.trans h₁) #align turing.blank_rel.trans Turing.BlankRel.trans def BlankRel.above {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) : { l // BlankExtends l₁ l ∧ BlankExtends l₂ l } := by refine if hl : l₁.length ≤ l₂.length then ⟨l₂, Or.elim h id fun h' ↦ ?_, BlankExtends.refl _⟩ else ⟨l₁, BlankExtends.refl _, Or.elim h (fun h' ↦ ?_) id⟩ · exact (BlankExtends.refl _).above_of_le h' hl · exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl) #align turing.blank_rel.above Turing.BlankRel.above def BlankRel.below {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) : { l // BlankExtends l l₁ ∧ BlankExtends l l₂ } := by refine if hl : l₁.length ≤ l₂.length then ⟨l₁, BlankExtends.refl _, Or.elim h id fun h' ↦ ?_⟩ else ⟨l₂, Or.elim h (fun h' ↦ ?_) id, BlankExtends.refl _⟩ · exact (BlankExtends.refl _).above_of_le h' hl · exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl) #align turing.blank_rel.below Turing.BlankRel.below theorem BlankRel.equivalence (Γ) [Inhabited Γ] : Equivalence (@BlankRel Γ _) := ⟨BlankRel.refl, @BlankRel.symm _ _, @BlankRel.trans _ _⟩ #align turing.blank_rel.equivalence Turing.BlankRel.equivalence def BlankRel.setoid (Γ) [Inhabited Γ] : Setoid (List Γ) := ⟨_, BlankRel.equivalence _⟩ #align turing.blank_rel.setoid Turing.BlankRel.setoid def ListBlank (Γ) [Inhabited Γ] := Quotient (BlankRel.setoid Γ) #align turing.list_blank Turing.ListBlank instance ListBlank.inhabited {Γ} [Inhabited Γ] : Inhabited (ListBlank Γ) := ⟨Quotient.mk'' []⟩ #align turing.list_blank.inhabited Turing.ListBlank.inhabited instance ListBlank.hasEmptyc {Γ} [Inhabited Γ] : EmptyCollection (ListBlank Γ) := ⟨Quotient.mk'' []⟩ #align turing.list_blank.has_emptyc Turing.ListBlank.hasEmptyc -- Porting note: Removed `@[elab_as_elim]` protected abbrev ListBlank.liftOn {Γ} [Inhabited Γ] {α} (l : ListBlank Γ) (f : List Γ → α) (H : ∀ a b, BlankExtends a b → f a = f b) : α := l.liftOn' f <| by rintro a b (h | h) <;> [exact H _ _ h; exact (H _ _ h).symm] #align turing.list_blank.lift_on Turing.ListBlank.liftOn def ListBlank.mk {Γ} [Inhabited Γ] : List Γ → ListBlank Γ := Quotient.mk'' #align turing.list_blank.mk Turing.ListBlank.mk @[elab_as_elim] protected theorem ListBlank.induction_on {Γ} [Inhabited Γ] {p : ListBlank Γ → Prop} (q : ListBlank Γ) (h : ∀ a, p (ListBlank.mk a)) : p q := Quotient.inductionOn' q h #align turing.list_blank.induction_on Turing.ListBlank.induction_on def ListBlank.head {Γ} [Inhabited Γ] (l : ListBlank Γ) : Γ := by apply l.liftOn List.headI rintro a _ ⟨i, rfl⟩ cases a · cases i <;> rfl rfl #align turing.list_blank.head Turing.ListBlank.head @[simp] theorem ListBlank.head_mk {Γ} [Inhabited Γ] (l : List Γ) : ListBlank.head (ListBlank.mk l) = l.headI := rfl #align turing.list_blank.head_mk Turing.ListBlank.head_mk def ListBlank.tail {Γ} [Inhabited Γ] (l : ListBlank Γ) : ListBlank Γ := by apply l.liftOn (fun l ↦ ListBlank.mk l.tail) rintro a _ ⟨i, rfl⟩ refine Quotient.sound' (Or.inl ?_) cases a · cases' i with i <;> [exact ⟨0, rfl⟩; exact ⟨i, rfl⟩] exact ⟨i, rfl⟩ #align turing.list_blank.tail Turing.ListBlank.tail @[simp] theorem ListBlank.tail_mk {Γ} [Inhabited Γ] (l : List Γ) : ListBlank.tail (ListBlank.mk l) = ListBlank.mk l.tail := rfl #align turing.list_blank.tail_mk Turing.ListBlank.tail_mk def ListBlank.cons {Γ} [Inhabited Γ] (a : Γ) (l : ListBlank Γ) : ListBlank Γ := by apply l.liftOn (fun l ↦ ListBlank.mk (List.cons a l)) rintro _ _ ⟨i, rfl⟩ exact Quotient.sound' (Or.inl ⟨i, rfl⟩) #align turing.list_blank.cons Turing.ListBlank.cons @[simp] theorem ListBlank.cons_mk {Γ} [Inhabited Γ] (a : Γ) (l : List Γ) : ListBlank.cons a (ListBlank.mk l) = ListBlank.mk (a :: l) := rfl #align turing.list_blank.cons_mk Turing.ListBlank.cons_mk @[simp] theorem ListBlank.head_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).head = a := Quotient.ind' fun _ ↦ rfl #align turing.list_blank.head_cons Turing.ListBlank.head_cons @[simp] theorem ListBlank.tail_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).tail = l := Quotient.ind' fun _ ↦ rfl #align turing.list_blank.tail_cons Turing.ListBlank.tail_cons @[simp] theorem ListBlank.cons_head_tail {Γ} [Inhabited Γ] : ∀ l : ListBlank Γ, l.tail.cons l.head = l := by apply Quotient.ind' refine fun l ↦ Quotient.sound' (Or.inr ?_) cases l · exact ⟨1, rfl⟩ · rfl #align turing.list_blank.cons_head_tail Turing.ListBlank.cons_head_tail theorem ListBlank.exists_cons {Γ} [Inhabited Γ] (l : ListBlank Γ) : ∃ a l', l = ListBlank.cons a l' := ⟨_, _, (ListBlank.cons_head_tail _).symm⟩ #align turing.list_blank.exists_cons Turing.ListBlank.exists_cons def ListBlank.nth {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : Γ := by apply l.liftOn (fun l ↦ List.getI l n) rintro l _ ⟨i, rfl⟩ cases' lt_or_le n _ with h h · rw [List.getI_append _ _ _ h] rw [List.getI_eq_default _ h] rcases le_or_lt _ n with h₂ | h₂ · rw [List.getI_eq_default _ h₂] rw [List.getI_eq_get _ h₂, List.get_append_right' h, List.get_replicate] #align turing.list_blank.nth Turing.ListBlank.nth @[simp] theorem ListBlank.nth_mk {Γ} [Inhabited Γ] (l : List Γ) (n : ℕ) : (ListBlank.mk l).nth n = l.getI n := rfl #align turing.list_blank.nth_mk Turing.ListBlank.nth_mk @[simp] theorem ListBlank.nth_zero {Γ} [Inhabited Γ] (l : ListBlank Γ) : l.nth 0 = l.head := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l.tail fun l ↦ rfl #align turing.list_blank.nth_zero Turing.ListBlank.nth_zero @[simp] theorem ListBlank.nth_succ {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : l.nth (n + 1) = l.tail.nth n := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l.tail fun l ↦ rfl #align turing.list_blank.nth_succ Turing.ListBlank.nth_succ @[ext] theorem ListBlank.ext {Γ} [i : Inhabited Γ] {L₁ L₂ : ListBlank Γ} : (∀ i, L₁.nth i = L₂.nth i) → L₁ = L₂ := by refine ListBlank.induction_on L₁ fun l₁ ↦ ListBlank.induction_on L₂ fun l₂ H ↦ ?_ wlog h : l₁.length ≤ l₂.length · cases le_total l₁.length l₂.length <;> [skip; symm] <;> apply this <;> try assumption intro rw [H] refine Quotient.sound' (Or.inl ⟨l₂.length - l₁.length, ?_⟩) refine List.ext_get ?_ fun i h h₂ ↦ Eq.symm ?_ · simp only [Nat.add_sub_cancel' h, List.length_append, List.length_replicate] simp only [ListBlank.nth_mk] at H cases' lt_or_le i l₁.length with h' h' · simp only [List.get_append _ h', List.get?_eq_get h, List.get?_eq_get h', ← List.getI_eq_get _ h, ← List.getI_eq_get _ h', H] · simp only [List.get_append_right' h', List.get_replicate, List.get?_eq_get h, List.get?_len_le h', ← List.getI_eq_default _ h', H, List.getI_eq_get _ h] #align turing.list_blank.ext Turing.ListBlank.ext @[simp] def ListBlank.modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) : ℕ → ListBlank Γ → ListBlank Γ | 0, L => L.tail.cons (f L.head) | n + 1, L => (L.tail.modifyNth f n).cons L.head #align turing.list_blank.modify_nth Turing.ListBlank.modifyNth theorem ListBlank.nth_modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) (n i) (L : ListBlank Γ) : (L.modifyNth f n).nth i = if i = n then f (L.nth i) else L.nth i := by induction' n with n IH generalizing i L · cases i <;> simp only [ListBlank.nth_zero, if_true, ListBlank.head_cons, ListBlank.modifyNth, ListBlank.nth_succ, if_false, ListBlank.tail_cons, Nat.zero_eq] · cases i · rw [if_neg (Nat.succ_ne_zero _).symm] simp only [ListBlank.nth_zero, ListBlank.head_cons, ListBlank.modifyNth, Nat.zero_eq] · simp only [IH, ListBlank.modifyNth, ListBlank.nth_succ, ListBlank.tail_cons, Nat.succ.injEq] #align turing.list_blank.nth_modify_nth Turing.ListBlank.nth_modifyNth structure PointedMap.{u, v} (Γ : Type u) (Γ' : Type v) [Inhabited Γ] [Inhabited Γ'] : Type max u v where f : Γ → Γ' map_pt' : f default = default #align turing.pointed_map Turing.PointedMap instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : Inhabited (PointedMap Γ Γ') := ⟨⟨default, rfl⟩⟩ instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : CoeFun (PointedMap Γ Γ') fun _ ↦ Γ → Γ' := ⟨PointedMap.f⟩ -- @[simp] -- Porting note (#10685): dsimp can prove this theorem PointedMap.mk_val {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : Γ → Γ') (pt) : (PointedMap.mk f pt : Γ → Γ') = f := rfl #align turing.pointed_map.mk_val Turing.PointedMap.mk_val @[simp] theorem PointedMap.map_pt {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') : f default = default := PointedMap.map_pt' _ #align turing.pointed_map.map_pt Turing.PointedMap.map_pt @[simp] theorem PointedMap.headI_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (l.map f).headI = f l.headI := by cases l <;> [exact (PointedMap.map_pt f).symm; rfl] #align turing.pointed_map.head_map Turing.PointedMap.headI_map def ListBlank.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : ListBlank Γ' := by apply l.liftOn (fun l ↦ ListBlank.mk (List.map f l)) rintro l _ ⟨i, rfl⟩; refine Quotient.sound' (Or.inl ⟨i, ?_⟩) simp only [PointedMap.map_pt, List.map_append, List.map_replicate] #align turing.list_blank.map Turing.ListBlank.map @[simp] theorem ListBlank.map_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (ListBlank.mk l).map f = ListBlank.mk (l.map f) := rfl #align turing.list_blank.map_mk Turing.ListBlank.map_mk @[simp] theorem ListBlank.head_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : (l.map f).head = f l.head := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l fun a ↦ rfl #align turing.list_blank.head_map Turing.ListBlank.head_map @[simp] theorem ListBlank.tail_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : (l.map f).tail = l.tail.map f := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l fun a ↦ rfl #align turing.list_blank.tail_map Turing.ListBlank.tail_map @[simp] theorem ListBlank.map_cons {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) (a : Γ) : (l.cons a).map f = (l.map f).cons (f a) := by refine (ListBlank.cons_head_tail _).symm.trans ?_ simp only [ListBlank.head_map, ListBlank.head_cons, ListBlank.tail_map, ListBlank.tail_cons] #align turing.list_blank.map_cons Turing.ListBlank.map_cons @[simp] theorem ListBlank.nth_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) (n : ℕ) : (l.map f).nth n = f (l.nth n) := by refine l.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices ((mk l).map f).nth n = f ((mk l).nth n) by exact this simp only [List.get?_map, ListBlank.map_mk, ListBlank.nth_mk, List.getI_eq_iget_get?] cases l.get? n · exact f.2.symm · rfl #align turing.list_blank.nth_map Turing.ListBlank.nth_map def proj {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) : PointedMap (∀ i, Γ i) (Γ i) := ⟨fun a ↦ a i, rfl⟩ #align turing.proj Turing.proj theorem proj_map_nth {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) (L n) : (ListBlank.map (@proj ι Γ _ i) L).nth n = L.nth n i := by rw [ListBlank.nth_map]; rfl #align turing.proj_map_nth Turing.proj_map_nth theorem ListBlank.map_modifyNth {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (F : PointedMap Γ Γ') (f : Γ → Γ) (f' : Γ' → Γ') (H : ∀ x, F (f x) = f' (F x)) (n) (L : ListBlank Γ) : (L.modifyNth f n).map F = (L.map F).modifyNth f' n := by induction' n with n IH generalizing L <;> simp only [*, ListBlank.head_map, ListBlank.modifyNth, ListBlank.map_cons, ListBlank.tail_map] #align turing.list_blank.map_modify_nth Turing.ListBlank.map_modifyNth @[simp] def ListBlank.append {Γ} [Inhabited Γ] : List Γ → ListBlank Γ → ListBlank Γ | [], L => L | a :: l, L => ListBlank.cons a (ListBlank.append l L) #align turing.list_blank.append Turing.ListBlank.append @[simp] theorem ListBlank.append_mk {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : ListBlank.append l₁ (ListBlank.mk l₂) = ListBlank.mk (l₁ ++ l₂) := by induction l₁ <;> simp only [*, ListBlank.append, List.nil_append, List.cons_append, ListBlank.cons_mk] #align turing.list_blank.append_mk Turing.ListBlank.append_mk theorem ListBlank.append_assoc {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) (l₃ : ListBlank Γ) : ListBlank.append (l₁ ++ l₂) l₃ = ListBlank.append l₁ (ListBlank.append l₂ l₃) := by refine l₃.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices append (l₁ ++ l₂) (mk l) = append l₁ (append l₂ (mk l)) by exact this simp only [ListBlank.append_mk, List.append_assoc] #align turing.list_blank.append_assoc Turing.ListBlank.append_assoc def ListBlank.bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : ListBlank Γ) (f : Γ → List Γ') (hf : ∃ n, f default = List.replicate n default) : ListBlank Γ' := by apply l.liftOn (fun l ↦ ListBlank.mk (List.bind l f)) rintro l _ ⟨i, rfl⟩; cases' hf with n e; refine Quotient.sound' (Or.inl ⟨i * n, ?_⟩) rw [List.append_bind, mul_comm]; congr induction' i with i IH · rfl simp only [IH, e, List.replicate_add, Nat.mul_succ, add_comm, List.replicate_succ, List.cons_bind] #align turing.list_blank.bind Turing.ListBlank.bind @[simp] theorem ListBlank.bind_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : List Γ) (f : Γ → List Γ') (hf) : (ListBlank.mk l).bind f hf = ListBlank.mk (l.bind f) := rfl #align turing.list_blank.bind_mk Turing.ListBlank.bind_mk @[simp]
Mathlib/Computability/TuringMachine.lean
488
493
theorem ListBlank.cons_bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (a : Γ) (l : ListBlank Γ) (f : Γ → List Γ') (hf) : (l.cons a).bind f hf = (l.bind f hf).append (f a) := by
refine l.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices ((mk l).cons a).bind f hf = ((mk l).bind f hf).append (f a) by exact this simp only [ListBlank.append_mk, ListBlank.bind_mk, ListBlank.cons_mk, List.cons_bind]
import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.LinearAlgebra.FreeModule.PID import Mathlib.LinearAlgebra.Matrix.AbsoluteValue import Mathlib.NumberTheory.ClassNumber.AdmissibleAbsoluteValue import Mathlib.RingTheory.ClassGroup import Mathlib.RingTheory.DedekindDomain.IntegralClosure import Mathlib.RingTheory.Norm #align_import number_theory.class_number.finite from "leanprover-community/mathlib"@"ea0bcd84221246c801a6f8fbe8a4372f6d04b176" open scoped nonZeroDivisors namespace ClassGroup open Ring section EuclideanDomain variable {R S : Type*} (K L : Type*) [EuclideanDomain R] [CommRing S] [IsDomain S] variable [Field K] [Field L] variable [Algebra R K] [IsFractionRing R K] variable [Algebra K L] [FiniteDimensional K L] [IsSeparable K L] variable [algRL : Algebra R L] [IsScalarTower R K L] variable [Algebra R S] [Algebra S L] variable [ist : IsScalarTower R S L] [iic : IsIntegralClosure S R L] variable (abv : AbsoluteValue R ℤ) variable {ι : Type*} [DecidableEq ι] [Fintype ι] (bS : Basis ι R S) noncomputable def normBound : ℤ := let n := Fintype.card ι let i : ι := Nonempty.some bS.index_nonempty let m : ℤ := Finset.max' (Finset.univ.image fun ijk : ι × ι × ι => abv (Algebra.leftMulMatrix bS (bS ijk.1) ijk.2.1 ijk.2.2)) ⟨_, Finset.mem_image.mpr ⟨⟨i, i, i⟩, Finset.mem_univ _, rfl⟩⟩ Nat.factorial n • (n • m) ^ n #align class_group.norm_bound ClassGroup.normBound
Mathlib/NumberTheory/ClassNumber/Finite.lean
58
71
theorem normBound_pos : 0 < normBound abv bS := by
obtain ⟨i, j, k, hijk⟩ : ∃ i j k, Algebra.leftMulMatrix bS (bS i) j k ≠ 0 := by by_contra! h obtain ⟨i⟩ := bS.index_nonempty apply bS.ne_zero i apply (injective_iff_map_eq_zero (Algebra.leftMulMatrix bS)).mp (Algebra.leftMulMatrix_injective bS) ext j k simp [h, DMatrix.zero_apply] simp only [normBound, Algebra.smul_def, eq_natCast] apply mul_pos (Int.natCast_pos.mpr (Nat.factorial_pos _)) refine pow_pos (mul_pos (Int.natCast_pos.mpr (Fintype.card_pos_iff.mpr ⟨i⟩)) ?_) _ refine lt_of_lt_of_le (abv.pos hijk) (Finset.le_max' _ _ ?_) exact Finset.mem_image.mpr ⟨⟨i, j, k⟩, Finset.mem_univ _, rfl⟩
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
Mathlib/Topology/Basic.lean
219
223
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
import Mathlib.Data.Fintype.Basic import Mathlib.Data.Num.Lemmas import Mathlib.Data.Option.Basic import Mathlib.SetTheory.Cardinal.Basic #align_import computability.encoding from "leanprover-community/mathlib"@"b6395b3a5acd655b16385fa0cdbf1961d6c34b3e" universe u v open Cardinal namespace Computability structure Encoding (α : Type u) where Γ : Type v encode : α → List Γ decode : List Γ → Option α decode_encode : ∀ x, decode (encode x) = some x #align computability.encoding Computability.Encoding theorem Encoding.encode_injective {α : Type u} (e : Encoding α) : Function.Injective e.encode := by refine fun _ _ h => Option.some_injective _ ?_ rw [← e.decode_encode, ← e.decode_encode, h] #align computability.encoding.encode_injective Computability.Encoding.encode_injective structure FinEncoding (α : Type u) extends Encoding.{u, 0} α where ΓFin : Fintype Γ #align computability.fin_encoding Computability.FinEncoding instance Γ.fintype {α : Type u} (e : FinEncoding α) : Fintype e.toEncoding.Γ := e.ΓFin #align computability.Γ.fintype Computability.Γ.fintype inductive Γ' | blank | bit (b : Bool) | bra | ket | comma deriving DecidableEq #align computability.Γ' Computability.Γ' -- Porting note: A handler for `Fintype` had not been implemented yet. instance Γ'.fintype : Fintype Γ' := ⟨⟨{.blank, .bit true, .bit false, .bra, .ket, .comma}, by decide⟩, by intro; cases_type* Γ' Bool <;> decide⟩ #align computability.Γ'.fintype Computability.Γ'.fintype instance inhabitedΓ' : Inhabited Γ' := ⟨Γ'.blank⟩ #align computability.inhabited_Γ' Computability.inhabitedΓ' def inclusionBoolΓ' : Bool → Γ' := Γ'.bit #align computability.inclusion_bool_Γ' Computability.inclusionBoolΓ' def sectionΓ'Bool : Γ' → Bool | Γ'.bit b => b | _ => Inhabited.default #align computability.section_Γ'_bool Computability.sectionΓ'Bool theorem leftInverse_section_inclusion : Function.LeftInverse sectionΓ'Bool inclusionBoolΓ' := fun x => Bool.casesOn x rfl rfl #align computability.left_inverse_section_inclusion Computability.leftInverse_section_inclusion theorem inclusionBoolΓ'_injective : Function.Injective inclusionBoolΓ' := Function.HasLeftInverse.injective (Exists.intro sectionΓ'Bool leftInverse_section_inclusion) #align computability.inclusion_bool_Γ'_injective Computability.inclusionBoolΓ'_injective def encodePosNum : PosNum → List Bool | PosNum.one => [true] | PosNum.bit0 n => false :: encodePosNum n | PosNum.bit1 n => true :: encodePosNum n #align computability.encode_pos_num Computability.encodePosNum def encodeNum : Num → List Bool | Num.zero => [] | Num.pos n => encodePosNum n #align computability.encode_num Computability.encodeNum def encodeNat (n : ℕ) : List Bool := encodeNum n #align computability.encode_nat Computability.encodeNat def decodePosNum : List Bool → PosNum | false :: l => PosNum.bit0 (decodePosNum l) | true :: l => ite (l = []) PosNum.one (PosNum.bit1 (decodePosNum l)) | _ => PosNum.one #align computability.decode_pos_num Computability.decodePosNum def decodeNum : List Bool → Num := fun l => ite (l = []) Num.zero <| decodePosNum l #align computability.decode_num Computability.decodeNum def decodeNat : List Bool → Nat := fun l => decodeNum l #align computability.decode_nat Computability.decodeNat theorem encodePosNum_nonempty (n : PosNum) : encodePosNum n ≠ [] := PosNum.casesOn n (List.cons_ne_nil _ _) (fun _m => List.cons_ne_nil _ _) fun _m => List.cons_ne_nil _ _ #align computability.encode_pos_num_nonempty Computability.encodePosNum_nonempty
Mathlib/Computability/Encoding.lean
134
140
theorem decode_encodePosNum : ∀ n, decodePosNum (encodePosNum n) = n := by
intro n induction' n with m hm m hm <;> unfold encodePosNum decodePosNum · rfl · rw [hm] exact if_neg (encodePosNum_nonempty m) · exact congr_arg PosNum.bit0 hm
import Mathlib.Init.Data.Sigma.Lex import Mathlib.Data.Prod.Lex import Mathlib.Data.Sigma.Lex import Mathlib.Order.Antichain import Mathlib.Order.OrderIsoNat import Mathlib.Order.WellFounded import Mathlib.Tactic.TFAE #align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592" variable {ι α β γ : Type*} {π : ι → Type*} namespace Set def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop := WellFounded fun a b : s => r a b #align set.well_founded_on Set.WellFoundedOn @[simp] theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r := wellFounded_of_isEmpty _ #align set.well_founded_on_empty Set.wellFoundedOn_empty def PartiallyWellOrderedOn (s : Set α) (r : α → α → Prop) : Prop := ∀ f : ℕ → α, (∀ n, f n ∈ s) → ∃ m n : ℕ, m < n ∧ r (f m) (f n) #align set.partially_well_ordered_on Set.PartiallyWellOrderedOn section PartiallyWellOrderedOn variable {r : α → α → Prop} {r' : β → β → Prop} {f : α → β} {s : Set α} {t : Set α} {a : α} theorem PartiallyWellOrderedOn.mono (ht : t.PartiallyWellOrderedOn r) (h : s ⊆ t) : s.PartiallyWellOrderedOn r := fun f hf => ht f fun n => h <| hf n #align set.partially_well_ordered_on.mono Set.PartiallyWellOrderedOn.mono @[simp] theorem partiallyWellOrderedOn_empty (r : α → α → Prop) : PartiallyWellOrderedOn ∅ r := fun _ h => (h 0).elim #align set.partially_well_ordered_on_empty Set.partiallyWellOrderedOn_empty theorem PartiallyWellOrderedOn.union (hs : s.PartiallyWellOrderedOn r) (ht : t.PartiallyWellOrderedOn r) : (s ∪ t).PartiallyWellOrderedOn r := by rintro f hf rcases Nat.exists_subseq_of_forall_mem_union f hf with ⟨g, hgs | hgt⟩ · rcases hs _ hgs with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ · rcases ht _ hgt with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ #align set.partially_well_ordered_on.union Set.PartiallyWellOrderedOn.union @[simp] theorem partiallyWellOrderedOn_union : (s ∪ t).PartiallyWellOrderedOn r ↔ s.PartiallyWellOrderedOn r ∧ t.PartiallyWellOrderedOn r := ⟨fun h => ⟨h.mono subset_union_left, h.mono subset_union_right⟩, fun h => h.1.union h.2⟩ #align set.partially_well_ordered_on_union Set.partiallyWellOrderedOn_union
Mathlib/Order/WellFoundedSet.lean
303
309
theorem PartiallyWellOrderedOn.image_of_monotone_on (hs : s.PartiallyWellOrderedOn r) (hf : ∀ a₁ ∈ s, ∀ a₂ ∈ s, r a₁ a₂ → r' (f a₁) (f a₂)) : (f '' s).PartiallyWellOrderedOn r' := by
intro g' hg' choose g hgs heq using hg' obtain rfl : f ∘ g = g' := funext heq obtain ⟨m, n, hlt, hmn⟩ := hs g hgs exact ⟨m, n, hlt, hf _ (hgs m) _ (hgs n) hmn⟩
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open Real RealInnerProductSpace namespace EuclideanGeometry open InnerProductGeometry variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {p p₀ p₁ p₂ : P} nonrec def angle (p1 p2 p3 : P) : ℝ := angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2) #align euclidean_geometry.angle EuclideanGeometry.angle @[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) : ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1) have hf1 : (f x).1 ≠ 0 := by simp [hx12] have hf2 : (f x).2 ≠ 0 := by simp [hx32] exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle @[simp] theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂] [InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂] (f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map] #align affine_isometry.angle_map AffineIsometry.angle_map @[simp, norm_cast] theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) : haveI : Nonempty s := ⟨p₁⟩ ∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ := haveI : Nonempty s := ⟨p₁⟩ s.subtypeₐᵢ.angle_map p₁ p₂ p₃ #align affine_subspace.angle_coe AffineSubspace.angle_coe @[simp] theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd @[simp] theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ := (AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const @[simp] theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub @[simp] theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const @[simp] theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ := angle_vadd_const _ _ _ _ #align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const @[simp] theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ := angle_const_vadd _ _ _ _ #align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add @[simp] theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v #align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const @[simp] theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃ #align euclidean_geometry.angle_const_sub EuclideanGeometry.angle_const_sub @[simp] theorem angle_neg (v₁ v₂ v₃ : V) : ∠ (-v₁) (-v₂) (-v₃) = ∠ v₁ v₂ v₃ := by simpa only [zero_sub] using angle_const_sub 0 v₁ v₂ v₃ #align euclidean_geometry.angle_neg EuclideanGeometry.angle_neg nonrec theorem angle_comm (p1 p2 p3 : P) : ∠ p1 p2 p3 = ∠ p3 p2 p1 := angle_comm _ _ #align euclidean_geometry.angle_comm EuclideanGeometry.angle_comm nonrec theorem angle_nonneg (p1 p2 p3 : P) : 0 ≤ ∠ p1 p2 p3 := angle_nonneg _ _ #align euclidean_geometry.angle_nonneg EuclideanGeometry.angle_nonneg nonrec theorem angle_le_pi (p1 p2 p3 : P) : ∠ p1 p2 p3 ≤ π := angle_le_pi _ _ #align euclidean_geometry.angle_le_pi EuclideanGeometry.angle_le_pi @[simp] lemma angle_self_left (p₀ p : P) : ∠ p₀ p₀ p = π / 2 := by unfold angle rw [vsub_self] exact angle_zero_left _ #align euclidean_geometry.angle_eq_left EuclideanGeometry.angle_self_left @[simp] lemma angle_self_right (p₀ p : P) : ∠ p p₀ p₀ = π / 2 := by rw [angle_comm, angle_self_left] #align euclidean_geometry.angle_eq_right EuclideanGeometry.angle_self_right theorem angle_self_of_ne (h : p ≠ p₀) : ∠ p p₀ p = 0 := angle_self $ vsub_ne_zero.2 h #align euclidean_geometry.angle_eq_of_ne EuclideanGeometry.angle_self_of_ne @[deprecated (since := "2024-02-14")] alias angle_eq_left := angle_self_left @[deprecated (since := "2024-02-14")] alias angle_eq_right := angle_self_right @[deprecated (since := "2024-02-14")] alias angle_eq_of_ne := angle_self_of_ne theorem angle_eq_zero_of_angle_eq_pi_left {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p1 p3 = 0 := by unfold angle at h rw [angle_eq_pi_iff] at h rcases h with ⟨hp1p2, ⟨r, ⟨hr, hpr⟩⟩⟩ unfold angle rw [angle_eq_zero_iff] rw [← neg_vsub_eq_vsub_rev, neg_ne_zero] at hp1p2 use hp1p2, -r + 1, add_pos (neg_pos_of_neg hr) zero_lt_one rw [add_smul, ← neg_vsub_eq_vsub_rev p1 p2, smul_neg] simp [← hpr] #align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_left EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_left theorem angle_eq_zero_of_angle_eq_pi_right {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p3 p1 = 0 := by rw [angle_comm] at h exact angle_eq_zero_of_angle_eq_pi_left h #align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_right EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_right theorem angle_eq_angle_of_angle_eq_pi (p1 : P) {p2 p3 p4 : P} (h : ∠ p2 p3 p4 = π) : ∠ p1 p2 p3 = ∠ p1 p2 p4 := by unfold angle at * rcases angle_eq_pi_iff.1 h with ⟨_, ⟨r, ⟨hr, hpr⟩⟩⟩ rw [eq_comm] convert angle_smul_right_of_pos (p1 -ᵥ p2) (p3 -ᵥ p2) (add_pos (neg_pos_of_neg hr) zero_lt_one) rw [add_smul, ← neg_vsub_eq_vsub_rev p2 p3, smul_neg, neg_smul, ← hpr] simp #align euclidean_geometry.angle_eq_angle_of_angle_eq_pi EuclideanGeometry.angle_eq_angle_of_angle_eq_pi nonrec theorem angle_add_angle_eq_pi_of_angle_eq_pi (p1 : P) {p2 p3 p4 : P} (h : ∠ p2 p3 p4 = π) : ∠ p1 p3 p2 + ∠ p1 p3 p4 = π := by unfold angle at h rw [angle_comm p1 p3 p2, angle_comm p1 p3 p4] unfold angle exact angle_add_angle_eq_pi_of_angle_eq_pi _ h #align euclidean_geometry.angle_add_angle_eq_pi_of_angle_eq_pi EuclideanGeometry.angle_add_angle_eq_pi_of_angle_eq_pi theorem angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi {p1 p2 p3 p4 p5 : P} (hapc : ∠ p1 p5 p3 = π) (hbpd : ∠ p2 p5 p4 = π) : ∠ p1 p5 p2 = ∠ p3 p5 p4 := by linarith [angle_add_angle_eq_pi_of_angle_eq_pi p1 hbpd, angle_comm p4 p5 p1, angle_add_angle_eq_pi_of_angle_eq_pi p4 hapc, angle_comm p4 p5 p3] #align euclidean_geometry.angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi EuclideanGeometry.angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi theorem left_dist_ne_zero_of_angle_eq_pi {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : dist p1 p2 ≠ 0 := by by_contra heq rw [dist_eq_zero] at heq rw [heq, angle_self_left] at h exact Real.pi_ne_zero (by linarith) #align euclidean_geometry.left_dist_ne_zero_of_angle_eq_pi EuclideanGeometry.left_dist_ne_zero_of_angle_eq_pi theorem right_dist_ne_zero_of_angle_eq_pi {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : dist p3 p2 ≠ 0 := left_dist_ne_zero_of_angle_eq_pi <| (angle_comm _ _ _).trans h #align euclidean_geometry.right_dist_ne_zero_of_angle_eq_pi EuclideanGeometry.right_dist_ne_zero_of_angle_eq_pi
Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean
226
229
theorem dist_eq_add_dist_of_angle_eq_pi {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : dist p1 p3 = dist p1 p2 + dist p3 p2 := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right] exact norm_sub_eq_add_norm_of_angle_eq_pi h
import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Computability.Primrec import Mathlib.Tactic.Ring import Mathlib.Tactic.Linarith #align_import computability.ackermann from "leanprover-community/mathlib"@"9b2660e1b25419042c8da10bf411aa3c67f14383" open Nat def ack : ℕ → ℕ → ℕ | 0, n => n + 1 | m + 1, 0 => ack m 1 | m + 1, n + 1 => ack m (ack (m + 1) n) #align ack ack @[simp] theorem ack_zero (n : ℕ) : ack 0 n = n + 1 := by rw [ack] #align ack_zero ack_zero @[simp] theorem ack_succ_zero (m : ℕ) : ack (m + 1) 0 = ack m 1 := by rw [ack] #align ack_succ_zero ack_succ_zero @[simp] theorem ack_succ_succ (m n : ℕ) : ack (m + 1) (n + 1) = ack m (ack (m + 1) n) := by rw [ack] #align ack_succ_succ ack_succ_succ @[simp] theorem ack_one (n : ℕ) : ack 1 n = n + 2 := by induction' n with n IH · rfl · simp [IH] #align ack_one ack_one @[simp]
Mathlib/Computability/Ackermann.lean
89
92
theorem ack_two (n : ℕ) : ack 2 n = 2 * n + 3 := by
induction' n with n IH · rfl · simpa [mul_succ]
import Mathlib.MeasureTheory.MeasurableSpace.Basic import Mathlib.Data.Set.MemPartition import Mathlib.Order.Filter.CountableSeparatingOn open Set MeasureTheory namespace MeasurableSpace variable {α β : Type*} class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b #align measurable_space.countably_generated MeasurableSpace.CountablyGenerated def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] : Set (Set α) := insert ∅ h.isCountablyGenerated.choose lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] : Set.Countable (countableGeneratingSet α) := Countable.insert _ h.isCountablyGenerated.choose_spec.1 lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] : generateFrom (countableGeneratingSet α) = m := (generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] : ∅ ∈ countableGeneratingSet α := mem_insert _ _ lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] : Set.Nonempty (countableGeneratingSet α) := ⟨∅, mem_insert _ _⟩ lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] {s : Set α} (hs : s ∈ countableGeneratingSet α) : MeasurableSet s := by rw [← generateFrom_countableGeneratingSet (α := α)] exact measurableSet_generateFrom hs def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) := enumerateCountable (countable_countableGeneratingSet (α := α)) ∅ lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α] [CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet, generateFrom_countableGeneratingSet] lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) : MeasurableSet (natGeneratingSequence α n) := measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _ empty_mem_countableGeneratingSet n theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) : @CountablyGenerated α (.comap f m) := by rcases h with ⟨⟨b, hbc, rfl⟩⟩ rw [comap_generateFrom] letI := generateFrom (preimage f '' b) exact ⟨_, hbc.image _, rfl⟩ theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁) (h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩ rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩ exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩ instance (priority := 100) [MeasurableSpace α] [Countable α] : CountablyGenerated α where isCountablyGenerated := by refine ⟨⋃ y, {measurableAtom y}, countable_iUnion (fun i ↦ countable_singleton _), ?_⟩ refine le_antisymm ?_ (generateFrom_le (by simp [MeasurableSet.measurableAtom_of_countable])) intro s hs have : s = ⋃ y ∈ s, measurableAtom y := by apply Subset.antisymm · intro x hx simpa using ⟨x, hx, by simp⟩ · simp only [iUnion_subset_iff] intro x hx exact measurableAtom_subset hs hx rw [this] apply MeasurableSet.biUnion (to_countable s) (fun x _hx ↦ ?_) apply measurableSet_generateFrom simp instance [MeasurableSpace α] [CountablyGenerated α] {p : α → Prop} : CountablyGenerated { x // p x } := .comap _ instance [MeasurableSpace α] [CountablyGenerated α] [MeasurableSpace β] [CountablyGenerated β] : CountablyGenerated (α × β) := .sup (.comap Prod.fst) (.comap Prod.snd) section SeparatesPoints class SeparatesPoints (α : Type*) [m : MeasurableSpace α] : Prop where separates : ∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) → x = y theorem separatesPoints_def [MeasurableSpace α] [hs : SeparatesPoints α] {x y : α} (h : ∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) : x = y := hs.separates _ _ h theorem exists_measurableSet_of_ne [MeasurableSpace α] [SeparatesPoints α] {x y : α} (h : x ≠ y) : ∃ s, MeasurableSet s ∧ x ∈ s ∧ y ∉ s := by contrapose! h exact separatesPoints_def h theorem separatesPoints_iff [MeasurableSpace α] : SeparatesPoints α ↔ ∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s ↔ y ∈ s)) → x = y := ⟨fun h ↦ fun _ _ hxy ↦ h.separates _ _ fun _ hs xs ↦ (hxy _ hs).mp xs, fun h ↦ ⟨fun _ _ hxy ↦ h _ _ fun _ hs ↦ ⟨fun xs ↦ hxy _ hs xs, not_imp_not.mp fun xs ↦ hxy _ hs.compl xs⟩⟩⟩
Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean
157
163
theorem separating_of_generateFrom (S : Set (Set α)) [h : @SeparatesPoints α (generateFrom S)] : ∀ x y : α, (∀ s ∈ S, x ∈ s ↔ y ∈ s) → x = y := by
letI := generateFrom S intros x y hxy rw [← forall_generateFrom_mem_iff_mem_iff] at hxy exact separatesPoints_def $ fun _ hs ↦ (hxy _ hs).mp
import Mathlib.Analysis.NormedSpace.LinearIsometry import Mathlib.Analysis.NormedSpace.ContinuousLinearMap import Mathlib.Analysis.NormedSpace.Basic variable {𝕜 E : Type*} namespace LinearMap variable (𝕜) section Seminormed variable [NormedDivisionRing 𝕜] [SeminormedAddCommGroup E] [Module 𝕜 E] [BoundedSMul 𝕜 E]
Mathlib/Analysis/NormedSpace/Span.lean
36
39
theorem toSpanSingleton_homothety (x : E) (c : 𝕜) : ‖LinearMap.toSpanSingleton 𝕜 E x c‖ = ‖x‖ * ‖c‖ := by
rw [mul_comm] exact norm_smul _ _
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by simp_rw [mem_iUnion] #align set.mem_Union₂ Set.mem_iUnion₂ theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by simp_rw [mem_iInter] #align set.mem_Inter₂ Set.mem_iInter₂ theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i := mem_iUnion.2 ⟨i, ha⟩ #align set.mem_Union_of_mem Set.mem_iUnion_of_mem theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) : a ∈ ⋃ (i) (j), s i j := mem_iUnion₂.2 ⟨i, j, ha⟩ #align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_iInter.2 h #align set.mem_Inter_of_mem Set.mem_iInter_of_mem theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ (i) (j), s i j := mem_iInter₂.2 h #align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) := { instBooleanAlgebraSet with le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩ sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in sInf_le := fun s t t_in a h => h _ t_in iInf_iSup_eq := by intros; ext; simp [Classical.skolem] } instance : OrderTop (Set α) where top := univ le_top := by simp @[congr] theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ := iSup_congr_Prop pq f #align set.Union_congr_Prop Set.iUnion_congr_Prop @[congr] theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ := iInf_congr_Prop pq f #align set.Inter_congr_Prop Set.iInter_congr_Prop theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i := iSup_plift_up _ #align set.Union_plift_up Set.iUnion_plift_up theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i := iSup_plift_down _ #align set.Union_plift_down Set.iUnion_plift_down theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i := iInf_plift_up _ #align set.Inter_plift_up Set.iInter_plift_up theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i := iInf_plift_down _ #align set.Inter_plift_down Set.iInter_plift_down theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ := iSup_eq_if _ #align set.Union_eq_if Set.iUnion_eq_if theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋃ h : p, s h = if h : p then s h else ∅ := iSup_eq_dif _ #align set.Union_eq_dif Set.iUnion_eq_dif theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ := iInf_eq_if _ #align set.Inter_eq_if Set.iInter_eq_if theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋂ h : p, s h = if h : p then s h else univ := _root_.iInf_eq_dif _ #align set.Infi_eq_dif Set.iInf_eq_dif theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β) (w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by have p : x ∈ ⊤ := Set.mem_univ x rw [← w, Set.mem_iUnion] at p simpa using p #align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α) (H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some exact ⟨x, m⟩ #align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty theorem nonempty_of_nonempty_iUnion {s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by obtain ⟨x, hx⟩ := h_Union exact ⟨Classical.choose <| mem_iUnion.mp hx⟩ theorem nonempty_of_nonempty_iUnion_eq_univ {s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι := nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty) theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } := ext fun _ => mem_iUnion.symm #align set.set_of_exists Set.setOf_exists theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } := ext fun _ => mem_iInter.symm #align set.set_of_forall Set.setOf_forall theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t := iSup_le h #align set.Union_subset Set.iUnion_subset theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) : ⋃ (i) (j), s i j ⊆ t := iUnion_subset fun x => iUnion_subset (h x) #align set.Union₂_subset Set.iUnion₂_subset theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i := le_iInf h #align set.subset_Inter Set.subset_iInter theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ (i) (j), t i j := subset_iInter fun x => subset_iInter <| h x #align set.subset_Inter₂ Set.subset_iInter₂ @[simp] theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t := ⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩ #align set.Union_subset_iff Set.iUnion_subset_iff theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} : ⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff] #align set.Union₂_subset_iff Set.iUnion₂_subset_iff @[simp] theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i := le_iInf_iff #align set.subset_Inter_iff Set.subset_iInter_iff -- Porting note (#10618): removing `simp`. `simp` can prove it theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} : (s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff] #align set.subset_Inter₂_iff Set.subset_iInter₂_iff theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i := le_iSup #align set.subset_Union Set.subset_iUnion theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i := iInf_le #align set.Inter_subset Set.iInter_subset theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' := le_iSup₂ i j #align set.subset_Union₂ Set.subset_iUnion₂ theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j := iInf₂_le i j #align set.Inter₂_subset Set.iInter₂_subset theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i := le_iSup_of_le i h #align set.subset_Union_of_subset Set.subset_iUnion_of_subset theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) : ⋂ i, s i ⊆ t := iInf_le_of_le i h #align set.Inter_subset_of_subset Set.iInter_subset_of_subset theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i) (h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j := le_iSup₂_of_le i j h #align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i) (h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t := iInf₂_le_of_le i j h #align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono h #align set.Union_mono Set.iUnion_mono @[gcongr] theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t := iSup_mono h theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j := iSup₂_mono h #align set.Union₂_mono Set.iUnion₂_mono theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i := iInf_mono h #align set.Inter_mono Set.iInter_mono @[gcongr] theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t := iInf_mono h theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j := iInf₂_mono h #align set.Inter₂_mono Set.iInter₂_mono theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono' h #align set.Union_mono' Set.iUnion_mono' theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' := iSup₂_mono' h #align set.Union₂_mono' Set.iUnion₂_mono' theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) : ⋂ i, s i ⊆ ⋂ j, t j := Set.subset_iInter fun j => let ⟨i, hi⟩ := h j iInter_subset_of_subset i hi #align set.Inter_mono' Set.iInter_mono' theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' := subset_iInter₂_iff.2 fun i' j' => let ⟨_, _, hst⟩ := h i' j' (iInter₂_subset _ _).trans hst #align set.Inter₂_mono' Set.iInter₂_mono' theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) : ⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i := iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl #align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) : ⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i := iInter_mono fun _ => subset_iInter fun _ => Subset.rfl #align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂ theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by ext exact mem_iUnion #align set.Union_set_of Set.iUnion_setOf theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by ext exact mem_iInter #align set.Inter_set_of Set.iInter_setOf theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y := h1.iSup_congr h h2 #align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y := h1.iInf_congr h h2 #align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h #align set.Union_congr Set.iUnion_congr lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h #align set.Inter_congr Set.iInter_congr lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋃ (i) (j), s i j = ⋃ (i) (j), t i j := iUnion_congr fun i => iUnion_congr <| h i #align set.Union₂_congr Set.iUnion₂_congr lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋂ (i) (j), s i j = ⋂ (i) (j), t i j := iInter_congr fun i => iInter_congr <| h i #align set.Inter₂_congr Set.iInter₂_congr @[simp] theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ := compl_iSup #align set.compl_Union Set.compl_iUnion theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by simp_rw [compl_iUnion] #align set.compl_Union₂ Set.compl_iUnion₂ @[simp] theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ := compl_iInf #align set.compl_Inter Set.compl_iInter theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by simp_rw [compl_iInter] #align set.compl_Inter₂ Set.compl_iInter₂ -- classical -- complete_boolean_algebra theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by simp only [compl_iInter, compl_compl] #align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl -- classical -- complete_boolean_algebra theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by simp only [compl_iUnion, compl_compl] #align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i := inf_iSup_eq _ _ #align set.inter_Union Set.inter_iUnion theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s := iSup_inf_eq _ _ #align set.Union_inter Set.iUnion_inter theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) : ⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i := iSup_sup_eq #align set.Union_union_distrib Set.iUnion_union_distrib theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) : ⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i := iInf_inf_eq #align set.Inter_inter_distrib Set.iInter_inter_distrib theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i := sup_iSup #align set.union_Union Set.union_iUnion theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s := iSup_sup #align set.Union_union Set.iUnion_union theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i := inf_iInf #align set.inter_Inter Set.inter_iInter theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s := iInf_inf #align set.Inter_inter Set.iInter_inter -- classical theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i := sup_iInf_eq _ _ #align set.union_Inter Set.union_iInter theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.Inter_union Set.iInter_union theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s := iUnion_inter _ _ #align set.Union_diff Set.iUnion_diff theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by rw [diff_eq, compl_iUnion, inter_iInter]; rfl #align set.diff_Union Set.diff_iUnion theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by rw [diff_eq, compl_iInter, inter_iUnion]; rfl #align set.diff_Inter Set.diff_iInter theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i := le_iSup_inf_iSup s t #align set.Union_inter_subset Set.iUnion_inter_subset theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_monotone hs ht #align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_antitone hs ht #align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_monotone hs ht #align set.Inter_union_of_monotone Set.iInter_union_of_monotone theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_antitone hs ht #align set.Inter_union_of_antitone Set.iInter_union_of_antitone theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j := iSup_iInf_le_iInf_iSup (flip s) #align set.Union_Inter_subset Set.iUnion_iInter_subset theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) := iSup_option s #align set.Union_option Set.iUnion_option theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) := iInf_option s #align set.Inter_option Set.iInter_option section variable (p : ι → Prop) [DecidablePred p] theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h := iSup_dite _ _ _ #align set.Union_dite Set.iUnion_dite theorem iUnion_ite (f g : ι → Set α) : ⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i := iUnion_dite _ _ _ #align set.Union_ite Set.iUnion_ite theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h := iInf_dite _ _ _ #align set.Inter_dite Set.iInter_dite theorem iInter_ite (f g : ι → Set α) : ⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i := iInter_dite _ _ _ #align set.Inter_ite Set.iInter_ite end theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)} (hv : (pi univ v).Nonempty) (i : ι) : ((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by classical apply Subset.antisymm · simp [iInter_subset] · intro y y_in simp only [mem_image, mem_iInter, mem_preimage] rcases hv with ⟨z, hz⟩ refine ⟨Function.update z i y, ?_, update_same i y z⟩ rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i] exact ⟨y_in, fun j _ => by simpa using hz j⟩ #align set.image_projection_prod Set.image_projection_prod theorem iInter_false {s : False → Set α} : iInter s = univ := iInf_false #align set.Inter_false Set.iInter_false theorem iUnion_false {s : False → Set α} : iUnion s = ∅ := iSup_false #align set.Union_false Set.iUnion_false @[simp] theorem iInter_true {s : True → Set α} : iInter s = s trivial := iInf_true #align set.Inter_true Set.iInter_true @[simp] theorem iUnion_true {s : True → Set α} : iUnion s = s trivial := iSup_true #align set.Union_true Set.iUnion_true @[simp] theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} : ⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ := iInf_exists #align set.Inter_exists Set.iInter_exists @[simp] theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} : ⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ := iSup_exists #align set.Union_exists Set.iUnion_exists @[simp] theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ := iSup_bot #align set.Union_empty Set.iUnion_empty @[simp] theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ := iInf_top #align set.Inter_univ Set.iInter_univ section variable {s : ι → Set α} @[simp] theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ := iSup_eq_bot #align set.Union_eq_empty Set.iUnion_eq_empty @[simp] theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ := iInf_eq_top #align set.Inter_eq_univ Set.iInter_eq_univ @[simp] theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by simp [nonempty_iff_ne_empty] #align set.nonempty_Union Set.nonempty_iUnion -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_biUnion {t : Set α} {s : α → Set β} : (⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp #align set.nonempty_bUnion Set.nonempty_biUnion theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) : ⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ := iSup_exists #align set.Union_nonempty_index Set.iUnion_nonempty_index end @[simp] theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋂ (x) (h : x = b), s x h = s b rfl := iInf_iInf_eq_left #align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left @[simp] theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋂ (x) (h : b = x), s x h = s b rfl := iInf_iInf_eq_right #align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right @[simp] theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋃ (x) (h : x = b), s x h = s b rfl := iSup_iSup_eq_left #align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left @[simp] theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋃ (x) (h : b = x), s x h = s b rfl := iSup_iSup_eq_right #align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) : ⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) := iInf_or #align set.Inter_or Set.iInter_or theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) : ⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) := iSup_or #align set.Union_or Set.iUnion_or theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ := iSup_and #align set.Union_and Set.iUnion_and theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ := iInf_and #align set.Inter_and Set.iInter_and theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' := iSup_comm #align set.Union_comm Set.iUnion_comm theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' := iInf_comm #align set.Inter_comm Set.iInter_comm theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ := iSup_sigma theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 := iSup_sigma' _ theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ := iInf_sigma theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 := iInf_sigma' _ theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iSup₂_comm _ #align set.Union₂_comm Set.iUnion₂_comm theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iInf₂_comm _ #align set.Inter₂_comm Set.iInter₂_comm @[simp] theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iUnion_and, @iUnion_comm _ ι'] #align set.bUnion_and Set.biUnion_and @[simp] theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iUnion_and, @iUnion_comm _ ι] #align set.bUnion_and' Set.biUnion_and' @[simp] theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iInter_and, @iInter_comm _ ι'] #align set.bInter_and Set.biInter_and @[simp] theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iInter_and, @iInter_comm _ ι] #align set.bInter_and' Set.biInter_and' @[simp] theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left] #align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left @[simp] theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left] #align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) : y ∈ ⋃ x ∈ s, t x := mem_iUnion₂_of_mem xs ytx #align set.mem_bUnion Set.mem_biUnion theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) : y ∈ ⋂ x ∈ s, t x := mem_iInter₂_of_mem h #align set.mem_bInter Set.mem_biInter theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) : u x ⊆ ⋃ x ∈ s, u x := -- Porting note: Why is this not just `subset_iUnion₂ x xs`? @subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs #align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) : ⋂ x ∈ s, t x ⊆ t x := iInter₂_subset x xs #align set.bInter_subset_of_mem Set.biInter_subset_of_mem theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') : ⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x := iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx #align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) : ⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x := subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx #align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) : ⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x := (biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h #align set.bUnion_mono Set.biUnion_mono theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) : ⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x := (biInter_subset_biInter_left hs).trans <| iInter₂_mono h #align set.bInter_mono Set.biInter_mono theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) : ⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 := iSup_subtype' #align set.bUnion_eq_Union Set.biUnion_eq_iUnion theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) : ⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 := iInf_subtype' #align set.bInter_eq_Inter Set.biInter_eq_iInter theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ := iSup_subtype #align set.Union_subtype Set.iUnion_subtype theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ := iInf_subtype #align set.Inter_subtype Set.iInter_subtype theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ := iInf_emptyset #align set.bInter_empty Set.biInter_empty theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x := iInf_univ #align set.bInter_univ Set.biInter_univ @[simp] theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s := Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx #align set.bUnion_self Set.biUnion_self @[simp] theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by rw [iUnion_nonempty_index, biUnion_self] #align set.Union_nonempty_self Set.iUnion_nonempty_self theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a := iInf_singleton #align set.bInter_singleton Set.biInter_singleton theorem biInter_union (s t : Set α) (u : α → Set β) : ⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x := iInf_union #align set.bInter_union Set.biInter_union theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) : ⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp #align set.bInter_insert Set.biInter_insert theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by rw [biInter_insert, biInter_singleton] #align set.bInter_pair Set.biInter_pair theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by haveI : Nonempty s := hs.to_subtype simp [biInter_eq_iInter, ← iInter_inter] #align set.bInter_inter Set.biInter_inter theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by rw [inter_comm, ← biInter_inter hs] simp [inter_comm] #align set.inter_bInter Set.inter_biInter theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ := iSup_emptyset #align set.bUnion_empty Set.biUnion_empty theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x := iSup_univ #align set.bUnion_univ Set.biUnion_univ theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a := iSup_singleton #align set.bUnion_singleton Set.biUnion_singleton @[simp] theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s := ext <| by simp #align set.bUnion_of_singleton Set.biUnion_of_singleton theorem biUnion_union (s t : Set α) (u : α → Set β) : ⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x := iSup_union #align set.bUnion_union Set.biUnion_union @[simp] theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iUnion_subtype _ _ #align set.Union_coe_set Set.iUnion_coe_set @[simp] theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iInter_subtype _ _ #align set.Inter_coe_set Set.iInter_coe_set theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) : ⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp #align set.bUnion_insert Set.biUnion_insert theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by simp #align set.bUnion_pair Set.biUnion_pair theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion] #align set.inter_Union₂ Set.inter_iUnion₂ theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) : (⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter] #align set.Union₂_inter Set.iUnion₂_inter theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_iInter] #align set.union_Inter₂ Set.union_iInter₂ theorem iInter₂_union (s : ∀ i, κ i → Set α) (t : Set α) : (⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [iInter_union] #align set.Inter₂_union Set.iInter₂_union theorem mem_sUnion_of_mem {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∈ t) (ht : t ∈ S) : x ∈ ⋃₀S := ⟨t, ht, hx⟩ #align set.mem_sUnion_of_mem Set.mem_sUnion_of_mem -- is this theorem really necessary? theorem not_mem_of_not_mem_sUnion {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∉ ⋃₀S) (ht : t ∈ S) : x ∉ t := fun h => hx ⟨t, ht, h⟩ #align set.not_mem_of_not_mem_sUnion Set.not_mem_of_not_mem_sUnion theorem sInter_subset_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : ⋂₀ S ⊆ t := sInf_le tS #align set.sInter_subset_of_mem Set.sInter_subset_of_mem theorem subset_sUnion_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : t ⊆ ⋃₀S := le_sSup tS #align set.subset_sUnion_of_mem Set.subset_sUnion_of_mem theorem subset_sUnion_of_subset {s : Set α} (t : Set (Set α)) (u : Set α) (h₁ : s ⊆ u) (h₂ : u ∈ t) : s ⊆ ⋃₀t := Subset.trans h₁ (subset_sUnion_of_mem h₂) #align set.subset_sUnion_of_subset Set.subset_sUnion_of_subset theorem sUnion_subset {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t' ⊆ t) : ⋃₀S ⊆ t := sSup_le h #align set.sUnion_subset Set.sUnion_subset @[simp] theorem sUnion_subset_iff {s : Set (Set α)} {t : Set α} : ⋃₀s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t := sSup_le_iff #align set.sUnion_subset_iff Set.sUnion_subset_iff lemma sUnion_mono_subsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, t ⊆ f t) : ⋃₀ s ⊆ ⋃₀ (f '' s) := fun _ ⟨t, htx, hxt⟩ ↦ ⟨f t, mem_image_of_mem f htx, hf t hxt⟩ lemma sUnion_mono_supsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, f t ⊆ t) : ⋃₀ (f '' s) ⊆ ⋃₀ s := -- If t ∈ f '' s is arbitrary; t = f u for some u : Set α. fun _ ⟨_, ⟨u, hus, hut⟩, hxt⟩ ↦ ⟨u, hus, (hut ▸ hf u) hxt⟩ theorem subset_sInter {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ ⋂₀ S := le_sInf h #align set.subset_sInter Set.subset_sInter @[simp] theorem subset_sInter_iff {S : Set (Set α)} {t : Set α} : t ⊆ ⋂₀ S ↔ ∀ t' ∈ S, t ⊆ t' := le_sInf_iff #align set.subset_sInter_iff Set.subset_sInter_iff @[gcongr] theorem sUnion_subset_sUnion {S T : Set (Set α)} (h : S ⊆ T) : ⋃₀S ⊆ ⋃₀T := sUnion_subset fun _ hs => subset_sUnion_of_mem (h hs) #align set.sUnion_subset_sUnion Set.sUnion_subset_sUnion @[gcongr] theorem sInter_subset_sInter {S T : Set (Set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S := subset_sInter fun _ hs => sInter_subset_of_mem (h hs) #align set.sInter_subset_sInter Set.sInter_subset_sInter @[simp] theorem sUnion_empty : ⋃₀∅ = (∅ : Set α) := sSup_empty #align set.sUnion_empty Set.sUnion_empty @[simp] theorem sInter_empty : ⋂₀ ∅ = (univ : Set α) := sInf_empty #align set.sInter_empty Set.sInter_empty @[simp] theorem sUnion_singleton (s : Set α) : ⋃₀{s} = s := sSup_singleton #align set.sUnion_singleton Set.sUnion_singleton @[simp] theorem sInter_singleton (s : Set α) : ⋂₀ {s} = s := sInf_singleton #align set.sInter_singleton Set.sInter_singleton @[simp] theorem sUnion_eq_empty {S : Set (Set α)} : ⋃₀S = ∅ ↔ ∀ s ∈ S, s = ∅ := sSup_eq_bot #align set.sUnion_eq_empty Set.sUnion_eq_empty @[simp] theorem sInter_eq_univ {S : Set (Set α)} : ⋂₀ S = univ ↔ ∀ s ∈ S, s = univ := sInf_eq_top #align set.sInter_eq_univ Set.sInter_eq_univ theorem subset_powerset_iff {s : Set (Set α)} {t : Set α} : s ⊆ 𝒫 t ↔ ⋃₀ s ⊆ t := sUnion_subset_iff.symm theorem sUnion_powerset_gc : GaloisConnection (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gc_sSup_Iic def sUnion_powerset_gi : GaloisInsertion (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gi_sSup_Iic theorem sUnion_mem_empty_univ {S : Set (Set α)} (h : S ⊆ {∅, univ}) : ⋃₀ S ∈ ({∅, univ} : Set (Set α)) := by simp only [mem_insert_iff, mem_singleton_iff, or_iff_not_imp_left, sUnion_eq_empty, not_forall] rintro ⟨s, hs, hne⟩ obtain rfl : s = univ := (h hs).resolve_left hne exact univ_subset_iff.1 <| subset_sUnion_of_mem hs @[simp] theorem nonempty_sUnion {S : Set (Set α)} : (⋃₀S).Nonempty ↔ ∃ s ∈ S, Set.Nonempty s := by simp [nonempty_iff_ne_empty] #align set.nonempty_sUnion Set.nonempty_sUnion theorem Nonempty.of_sUnion {s : Set (Set α)} (h : (⋃₀s).Nonempty) : s.Nonempty := let ⟨s, hs, _⟩ := nonempty_sUnion.1 h ⟨s, hs⟩ #align set.nonempty.of_sUnion Set.Nonempty.of_sUnion theorem Nonempty.of_sUnion_eq_univ [Nonempty α] {s : Set (Set α)} (h : ⋃₀s = univ) : s.Nonempty := Nonempty.of_sUnion <| h.symm ▸ univ_nonempty #align set.nonempty.of_sUnion_eq_univ Set.Nonempty.of_sUnion_eq_univ theorem sUnion_union (S T : Set (Set α)) : ⋃₀(S ∪ T) = ⋃₀S ∪ ⋃₀T := sSup_union #align set.sUnion_union Set.sUnion_union theorem sInter_union (S T : Set (Set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T := sInf_union #align set.sInter_union Set.sInter_union @[simp] theorem sUnion_insert (s : Set α) (T : Set (Set α)) : ⋃₀insert s T = s ∪ ⋃₀T := sSup_insert #align set.sUnion_insert Set.sUnion_insert @[simp] theorem sInter_insert (s : Set α) (T : Set (Set α)) : ⋂₀ insert s T = s ∩ ⋂₀ T := sInf_insert #align set.sInter_insert Set.sInter_insert @[simp] theorem sUnion_diff_singleton_empty (s : Set (Set α)) : ⋃₀(s \ {∅}) = ⋃₀s := sSup_diff_singleton_bot s #align set.sUnion_diff_singleton_empty Set.sUnion_diff_singleton_empty @[simp] theorem sInter_diff_singleton_univ (s : Set (Set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s := sInf_diff_singleton_top s #align set.sInter_diff_singleton_univ Set.sInter_diff_singleton_univ theorem sUnion_pair (s t : Set α) : ⋃₀{s, t} = s ∪ t := sSup_pair #align set.sUnion_pair Set.sUnion_pair theorem sInter_pair (s t : Set α) : ⋂₀ {s, t} = s ∩ t := sInf_pair #align set.sInter_pair Set.sInter_pair @[simp] theorem sUnion_image (f : α → Set β) (s : Set α) : ⋃₀(f '' s) = ⋃ x ∈ s, f x := sSup_image #align set.sUnion_image Set.sUnion_image @[simp] theorem sInter_image (f : α → Set β) (s : Set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x := sInf_image #align set.sInter_image Set.sInter_image @[simp] theorem sUnion_range (f : ι → Set β) : ⋃₀range f = ⋃ x, f x := rfl #align set.sUnion_range Set.sUnion_range @[simp] theorem sInter_range (f : ι → Set β) : ⋂₀ range f = ⋂ x, f x := rfl #align set.sInter_range Set.sInter_range theorem iUnion_eq_univ_iff {f : ι → Set α} : ⋃ i, f i = univ ↔ ∀ x, ∃ i, x ∈ f i := by simp only [eq_univ_iff_forall, mem_iUnion] #align set.Union_eq_univ_iff Set.iUnion_eq_univ_iff theorem iUnion₂_eq_univ_iff {s : ∀ i, κ i → Set α} : ⋃ (i) (j), s i j = univ ↔ ∀ a, ∃ i j, a ∈ s i j := by simp only [iUnion_eq_univ_iff, mem_iUnion] #align set.Union₂_eq_univ_iff Set.iUnion₂_eq_univ_iff theorem sUnion_eq_univ_iff {c : Set (Set α)} : ⋃₀c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b := by simp only [eq_univ_iff_forall, mem_sUnion] #align set.sUnion_eq_univ_iff Set.sUnion_eq_univ_iff -- classical theorem iInter_eq_empty_iff {f : ι → Set α} : ⋂ i, f i = ∅ ↔ ∀ x, ∃ i, x ∉ f i := by simp [Set.eq_empty_iff_forall_not_mem] #align set.Inter_eq_empty_iff Set.iInter_eq_empty_iff -- classical theorem iInter₂_eq_empty_iff {s : ∀ i, κ i → Set α} : ⋂ (i) (j), s i j = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j := by simp only [eq_empty_iff_forall_not_mem, mem_iInter, not_forall] #align set.Inter₂_eq_empty_iff Set.iInter₂_eq_empty_iff -- classical theorem sInter_eq_empty_iff {c : Set (Set α)} : ⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b := by simp [Set.eq_empty_iff_forall_not_mem] #align set.sInter_eq_empty_iff Set.sInter_eq_empty_iff -- classical @[simp] theorem nonempty_iInter {f : ι → Set α} : (⋂ i, f i).Nonempty ↔ ∃ x, ∀ i, x ∈ f i := by simp [nonempty_iff_ne_empty, iInter_eq_empty_iff] #align set.nonempty_Inter Set.nonempty_iInter -- classical -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_iInter₂ {s : ∀ i, κ i → Set α} : (⋂ (i) (j), s i j).Nonempty ↔ ∃ a, ∀ i j, a ∈ s i j := by simp #align set.nonempty_Inter₂ Set.nonempty_iInter₂ -- classical @[simp] theorem nonempty_sInter {c : Set (Set α)} : (⋂₀ c).Nonempty ↔ ∃ a, ∀ b ∈ c, a ∈ b := by simp [nonempty_iff_ne_empty, sInter_eq_empty_iff] #align set.nonempty_sInter Set.nonempty_sInter -- classical theorem compl_sUnion (S : Set (Set α)) : (⋃₀S)ᶜ = ⋂₀ (compl '' S) := ext fun x => by simp #align set.compl_sUnion Set.compl_sUnion -- classical theorem sUnion_eq_compl_sInter_compl (S : Set (Set α)) : ⋃₀S = (⋂₀ (compl '' S))ᶜ := by rw [← compl_compl (⋃₀S), compl_sUnion] #align set.sUnion_eq_compl_sInter_compl Set.sUnion_eq_compl_sInter_compl -- classical theorem compl_sInter (S : Set (Set α)) : (⋂₀ S)ᶜ = ⋃₀(compl '' S) := by rw [sUnion_eq_compl_sInter_compl, compl_compl_image] #align set.compl_sInter Set.compl_sInter -- classical theorem sInter_eq_compl_sUnion_compl (S : Set (Set α)) : ⋂₀ S = (⋃₀(compl '' S))ᶜ := by rw [← compl_compl (⋂₀ S), compl_sInter] #align set.sInter_eq_compl_sUnion_compl Set.sInter_eq_compl_sUnion_compl theorem inter_empty_of_inter_sUnion_empty {s t : Set α} {S : Set (Set α)} (hs : t ∈ S) (h : s ∩ ⋃₀S = ∅) : s ∩ t = ∅ := eq_empty_of_subset_empty <| by rw [← h]; exact inter_subset_inter_right _ (subset_sUnion_of_mem hs) #align set.inter_empty_of_inter_sUnion_empty Set.inter_empty_of_inter_sUnion_empty theorem range_sigma_eq_iUnion_range {γ : α → Type*} (f : Sigma γ → β) : range f = ⋃ a, range fun b => f ⟨a, b⟩ := Set.ext <| by simp #align set.range_sigma_eq_Union_range Set.range_sigma_eq_iUnion_range theorem iUnion_eq_range_sigma (s : α → Set β) : ⋃ i, s i = range fun a : Σi, s i => a.2 := by simp [Set.ext_iff] #align set.Union_eq_range_sigma Set.iUnion_eq_range_sigma theorem iUnion_eq_range_psigma (s : ι → Set β) : ⋃ i, s i = range fun a : Σ'i, s i => a.2 := by simp [Set.ext_iff] #align set.Union_eq_range_psigma Set.iUnion_eq_range_psigma theorem iUnion_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : Set (Sigma σ)) : ⋃ i, Sigma.mk i '' (Sigma.mk i ⁻¹' s) = s := by ext x simp only [mem_iUnion, mem_image, mem_preimage] constructor · rintro ⟨i, a, h, rfl⟩ exact h · intro h cases' x with i a exact ⟨i, a, h, rfl⟩ #align set.Union_image_preimage_sigma_mk_eq_self Set.iUnion_image_preimage_sigma_mk_eq_self theorem Sigma.univ (X : α → Type*) : (Set.univ : Set (Σa, X a)) = ⋃ a, range (Sigma.mk a) := Set.ext fun x => iff_of_true trivial ⟨range (Sigma.mk x.1), Set.mem_range_self _, x.2, Sigma.eta x⟩ #align set.sigma.univ Set.Sigma.univ alias sUnion_mono := sUnion_subset_sUnion #align set.sUnion_mono Set.sUnion_mono theorem iUnion_subset_iUnion_const {s : Set α} (h : ι → ι₂) : ⋃ _ : ι, s ⊆ ⋃ _ : ι₂, s := iSup_const_mono (α := Set α) h #align set.Union_subset_Union_const Set.iUnion_subset_iUnion_const @[simp] theorem iUnion_singleton_eq_range {α β : Type*} (f : α → β) : ⋃ x : α, {f x} = range f := by ext x simp [@eq_comm _ x] #align set.Union_singleton_eq_range Set.iUnion_singleton_eq_range theorem iUnion_of_singleton (α : Type*) : (⋃ x, {x} : Set α) = univ := by simp [Set.ext_iff] #align set.Union_of_singleton Set.iUnion_of_singleton theorem iUnion_of_singleton_coe (s : Set α) : ⋃ i : s, ({(i : α)} : Set α) = s := by simp #align set.Union_of_singleton_coe Set.iUnion_of_singleton_coe theorem sUnion_eq_biUnion {s : Set (Set α)} : ⋃₀s = ⋃ (i : Set α) (_ : i ∈ s), i := by rw [← sUnion_image, image_id'] #align set.sUnion_eq_bUnion Set.sUnion_eq_biUnion theorem sInter_eq_biInter {s : Set (Set α)} : ⋂₀ s = ⋂ (i : Set α) (_ : i ∈ s), i := by rw [← sInter_image, image_id'] #align set.sInter_eq_bInter Set.sInter_eq_biInter theorem sUnion_eq_iUnion {s : Set (Set α)} : ⋃₀s = ⋃ i : s, i := by simp only [← sUnion_range, Subtype.range_coe] #align set.sUnion_eq_Union Set.sUnion_eq_iUnion theorem sInter_eq_iInter {s : Set (Set α)} : ⋂₀ s = ⋂ i : s, i := by simp only [← sInter_range, Subtype.range_coe] #align set.sInter_eq_Inter Set.sInter_eq_iInter @[simp] theorem iUnion_of_empty [IsEmpty ι] (s : ι → Set α) : ⋃ i, s i = ∅ := iSup_of_empty _ #align set.Union_of_empty Set.iUnion_of_empty @[simp] theorem iInter_of_empty [IsEmpty ι] (s : ι → Set α) : ⋂ i, s i = univ := iInf_of_empty _ #align set.Inter_of_empty Set.iInter_of_empty theorem union_eq_iUnion {s₁ s₂ : Set α} : s₁ ∪ s₂ = ⋃ b : Bool, cond b s₁ s₂ := sup_eq_iSup s₁ s₂ #align set.union_eq_Union Set.union_eq_iUnion theorem inter_eq_iInter {s₁ s₂ : Set α} : s₁ ∩ s₂ = ⋂ b : Bool, cond b s₁ s₂ := inf_eq_iInf s₁ s₂ #align set.inter_eq_Inter Set.inter_eq_iInter theorem sInter_union_sInter {S T : Set (Set α)} : ⋂₀ S ∪ ⋂₀ T = ⋂ p ∈ S ×ˢ T, (p : Set α × Set α).1 ∪ p.2 := sInf_sup_sInf #align set.sInter_union_sInter Set.sInter_union_sInter theorem sUnion_inter_sUnion {s t : Set (Set α)} : ⋃₀s ∩ ⋃₀t = ⋃ p ∈ s ×ˢ t, (p : Set α × Set α).1 ∩ p.2 := sSup_inf_sSup #align set.sUnion_inter_sUnion Set.sUnion_inter_sUnion theorem biUnion_iUnion (s : ι → Set α) (t : α → Set β) : ⋃ x ∈ ⋃ i, s i, t x = ⋃ (i) (x ∈ s i), t x := by simp [@iUnion_comm _ ι] #align set.bUnion_Union Set.biUnion_iUnion theorem biInter_iUnion (s : ι → Set α) (t : α → Set β) : ⋂ x ∈ ⋃ i, s i, t x = ⋂ (i) (x ∈ s i), t x := by simp [@iInter_comm _ ι] #align set.bInter_Union Set.biInter_iUnion theorem sUnion_iUnion (s : ι → Set (Set α)) : ⋃₀⋃ i, s i = ⋃ i, ⋃₀s i := by simp only [sUnion_eq_biUnion, biUnion_iUnion] #align set.sUnion_Union Set.sUnion_iUnion theorem sInter_iUnion (s : ι → Set (Set α)) : ⋂₀ ⋃ i, s i = ⋂ i, ⋂₀ s i := by simp only [sInter_eq_biInter, biInter_iUnion] #align set.sInter_Union Set.sInter_iUnion theorem iUnion_range_eq_sUnion {α β : Type*} (C : Set (Set α)) {f : ∀ s : C, β → (s : Type _)} (hf : ∀ s : C, Surjective (f s)) : ⋃ y : β, range (fun s : C => (f s y).val) = ⋃₀C := by ext x; constructor · rintro ⟨s, ⟨y, rfl⟩, ⟨s, hs⟩, rfl⟩ refine ⟨_, hs, ?_⟩ exact (f ⟨s, hs⟩ y).2 · rintro ⟨s, hs, hx⟩ cases' hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy refine ⟨_, ⟨y, rfl⟩, ⟨s, hs⟩, ?_⟩ exact congr_arg Subtype.val hy #align set.Union_range_eq_sUnion Set.iUnion_range_eq_sUnion theorem iUnion_range_eq_iUnion (C : ι → Set α) {f : ∀ x : ι, β → C x} (hf : ∀ x : ι, Surjective (f x)) : ⋃ y : β, range (fun x : ι => (f x y).val) = ⋃ x, C x := by ext x; rw [mem_iUnion, mem_iUnion]; constructor · rintro ⟨y, i, rfl⟩ exact ⟨i, (f i y).2⟩ · rintro ⟨i, hx⟩ cases' hf i ⟨x, hx⟩ with y hy exact ⟨y, i, congr_arg Subtype.val hy⟩ #align set.Union_range_eq_Union Set.iUnion_range_eq_iUnion theorem union_distrib_iInter_left (s : ι → Set α) (t : Set α) : (t ∪ ⋂ i, s i) = ⋂ i, t ∪ s i := sup_iInf_eq _ _ #align set.union_distrib_Inter_left Set.union_distrib_iInter_left theorem union_distrib_iInter₂_left (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_distrib_iInter_left] #align set.union_distrib_Inter₂_left Set.union_distrib_iInter₂_left theorem union_distrib_iInter_right (s : ι → Set α) (t : Set α) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.union_distrib_Inter_right Set.union_distrib_iInter_right theorem union_distrib_iInter₂_right (s : ∀ i, κ i → Set α) (t : Set α) : (⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [union_distrib_iInter_right] #align set.union_distrib_Inter₂_right Set.union_distrib_iInter₂_right section Directed
Mathlib/Data/Set/Lattice.lean
2,009
2,015
theorem directedOn_iUnion {r} {f : ι → Set α} (hd : Directed (· ⊆ ·) f) (h : ∀ x, DirectedOn r (f x)) : DirectedOn r (⋃ x, f x) := by
simp only [DirectedOn, exists_prop, mem_iUnion, exists_imp] exact fun a₁ b₁ fb₁ a₂ b₂ fb₂ => let ⟨z, zb₁, zb₂⟩ := hd b₁ b₂ let ⟨x, xf, xa₁, xa₂⟩ := h z a₁ (zb₁ fb₁) a₂ (zb₂ fb₂) ⟨x, ⟨z, xf⟩, xa₁, xa₂⟩
import Mathlib.Data.Multiset.Sum import Mathlib.Data.Finset.Card #align_import data.finset.sum from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999" open Function Multiset Sum namespace Finset variable {α β : Type*} (s : Finset α) (t : Finset β) def disjSum : Finset (Sum α β) := ⟨s.1.disjSum t.1, s.2.disjSum t.2⟩ #align finset.disj_sum Finset.disjSum @[simp] theorem val_disjSum : (s.disjSum t).1 = s.1.disjSum t.1 := rfl #align finset.val_disj_sum Finset.val_disjSum @[simp] theorem empty_disjSum : (∅ : Finset α).disjSum t = t.map Embedding.inr := val_inj.1 <| Multiset.zero_disjSum _ #align finset.empty_disj_sum Finset.empty_disjSum @[simp] theorem disjSum_empty : s.disjSum (∅ : Finset β) = s.map Embedding.inl := val_inj.1 <| Multiset.disjSum_zero _ #align finset.disj_sum_empty Finset.disjSum_empty @[simp] theorem card_disjSum : (s.disjSum t).card = s.card + t.card := Multiset.card_disjSum _ _ #align finset.card_disj_sum Finset.card_disjSum theorem disjoint_map_inl_map_inr : Disjoint (s.map Embedding.inl) (t.map Embedding.inr) := by simp_rw [disjoint_left, mem_map] rintro x ⟨a, _, rfl⟩ ⟨b, _, ⟨⟩⟩ #align finset.disjoint_map_inl_map_inr Finset.disjoint_map_inl_map_inr @[simp] theorem map_inl_disjUnion_map_inr : (s.map Embedding.inl).disjUnion (t.map Embedding.inr) (disjoint_map_inl_map_inr _ _) = s.disjSum t := rfl #align finset.map_inl_disj_union_map_inr Finset.map_inl_disjUnion_map_inr variable {s t} {s₁ s₂ : Finset α} {t₁ t₂ : Finset β} {a : α} {b : β} {x : Sum α β} theorem mem_disjSum : x ∈ s.disjSum t ↔ (∃ a, a ∈ s ∧ inl a = x) ∨ ∃ b, b ∈ t ∧ inr b = x := Multiset.mem_disjSum #align finset.mem_disj_sum Finset.mem_disjSum @[simp] theorem inl_mem_disjSum : inl a ∈ s.disjSum t ↔ a ∈ s := Multiset.inl_mem_disjSum #align finset.inl_mem_disj_sum Finset.inl_mem_disjSum @[simp] theorem inr_mem_disjSum : inr b ∈ s.disjSum t ↔ b ∈ t := Multiset.inr_mem_disjSum #align finset.inr_mem_disj_sum Finset.inr_mem_disjSum @[simp]
Mathlib/Data/Finset/Sum.lean
83
83
theorem disjSum_eq_empty : s.disjSum t = ∅ ↔ s = ∅ ∧ t = ∅ := by
simp [ext_iff]
import Mathlib.Algebra.Group.Defs import Mathlib.Control.Functor #align_import control.applicative from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" universe u v w section Lemmas open Function variable {F : Type u → Type v} variable [Applicative F] [LawfulApplicative F] variable {α β γ σ : Type u} theorem Applicative.map_seq_map (f : α → β → γ) (g : σ → β) (x : F α) (y : F σ) : f <$> x <*> g <$> y = ((· ∘ g) ∘ f) <$> x <*> y := by simp [flip, functor_norm] #align applicative.map_seq_map Applicative.map_seq_map theorem Applicative.pure_seq_eq_map' (f : α → β) : ((pure f : F (α → β)) <*> ·) = (f <$> ·) := by ext; simp [functor_norm] #align applicative.pure_seq_eq_map' Applicative.pure_seq_eq_map'
Mathlib/Control/Applicative.lean
40
63
theorem Applicative.ext {F} : ∀ {A1 : Applicative F} {A2 : Applicative F} [@LawfulApplicative F A1] [@LawfulApplicative F A2], (∀ {α : Type u} (x : α), @Pure.pure _ A1.toPure _ x = @Pure.pure _ A2.toPure _ x) → (∀ {α β : Type u} (f : F (α → β)) (x : F α), @Seq.seq _ A1.toSeq _ _ f (fun _ => x) = @Seq.seq _ A2.toSeq _ _ f (fun _ => x)) → A1 = A2 | { toFunctor := F1, seq := s1, pure := p1, seqLeft := sl1, seqRight := sr1 }, { toFunctor := F2, seq := s2, pure := p2, seqLeft := sl2, seqRight := sr2 }, L1, L2, H1, H2 => by obtain rfl : @p1 = @p2 := by
funext α x apply H1 obtain rfl : @s1 = @s2 := by funext α β f x exact H2 f (x Unit.unit) obtain ⟨seqLeft_eq1, seqRight_eq1, pure_seq1, -⟩ := L1 obtain ⟨seqLeft_eq2, seqRight_eq2, pure_seq2, -⟩ := L2 obtain rfl : F1 = F2 := by apply Functor.ext intros exact (pure_seq1 _ _).symm.trans (pure_seq2 _ _) congr <;> funext α β x y · exact (seqLeft_eq1 _ (y Unit.unit)).trans (seqLeft_eq2 _ _).symm · exact (seqRight_eq1 _ (y Unit.unit)).trans (seqRight_eq2 _ (y Unit.unit)).symm
import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.integral.average from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open ENNReal MeasureTheory MeasureTheory.Measure Metric Set Filter TopologicalSpace Function open scoped Topology ENNReal Convex variable {α E F : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ ν : Measure α} {s t : Set α} namespace MeasureTheory section ENNReal variable (μ) {f g : α → ℝ≥0∞} noncomputable def laverage (f : α → ℝ≥0∞) := ∫⁻ x, f x ∂(μ univ)⁻¹ • μ #align measure_theory.laverage MeasureTheory.laverage notation3 "⨍⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => laverage μ r notation3 "⨍⁻ "(...)", "r:60:(scoped f => laverage volume f) => r notation3 "⨍⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => laverage (Measure.restrict μ s) r notation3 (prettyPrint := false) "⨍⁻ "(...)" in "s", "r:60:(scoped f => laverage Measure.restrict volume s f) => r @[simp] theorem laverage_zero : ⨍⁻ _x, (0 : ℝ≥0∞) ∂μ = 0 := by rw [laverage, lintegral_zero] #align measure_theory.laverage_zero MeasureTheory.laverage_zero @[simp] theorem laverage_zero_measure (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂(0 : Measure α) = 0 := by simp [laverage] #align measure_theory.laverage_zero_measure MeasureTheory.laverage_zero_measure theorem laverage_eq' (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂(μ univ)⁻¹ • μ := rfl #align measure_theory.laverage_eq' MeasureTheory.laverage_eq' theorem laverage_eq (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = (∫⁻ x, f x ∂μ) / μ univ := by rw [laverage_eq', lintegral_smul_measure, ENNReal.div_eq_inv_mul] #align measure_theory.laverage_eq MeasureTheory.laverage_eq theorem laverage_eq_lintegral [IsProbabilityMeasure μ] (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂μ := by rw [laverage, measure_univ, inv_one, one_smul] #align measure_theory.laverage_eq_lintegral MeasureTheory.laverage_eq_lintegral @[simp] theorem measure_mul_laverage [IsFiniteMeasure μ] (f : α → ℝ≥0∞) : μ univ * ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂μ := by rcases eq_or_ne μ 0 with hμ | hμ · rw [hμ, lintegral_zero_measure, laverage_zero_measure, mul_zero] · rw [laverage_eq, ENNReal.mul_div_cancel' (measure_univ_ne_zero.2 hμ) (measure_ne_top _ _)] #align measure_theory.measure_mul_laverage MeasureTheory.measure_mul_laverage theorem setLaverage_eq (f : α → ℝ≥0∞) (s : Set α) : ⨍⁻ x in s, f x ∂μ = (∫⁻ x in s, f x ∂μ) / μ s := by rw [laverage_eq, restrict_apply_univ] #align measure_theory.set_laverage_eq MeasureTheory.setLaverage_eq theorem setLaverage_eq' (f : α → ℝ≥0∞) (s : Set α) : ⨍⁻ x in s, f x ∂μ = ∫⁻ x, f x ∂(μ s)⁻¹ • μ.restrict s := by simp only [laverage_eq', restrict_apply_univ] #align measure_theory.set_laverage_eq' MeasureTheory.setLaverage_eq' variable {μ} theorem laverage_congr {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ⨍⁻ x, f x ∂μ = ⨍⁻ x, g x ∂μ := by simp only [laverage_eq, lintegral_congr_ae h] #align measure_theory.laverage_congr MeasureTheory.laverage_congr theorem setLaverage_congr (h : s =ᵐ[μ] t) : ⨍⁻ x in s, f x ∂μ = ⨍⁻ x in t, f x ∂μ := by simp only [setLaverage_eq, set_lintegral_congr h, measure_congr h] #align measure_theory.set_laverage_congr MeasureTheory.setLaverage_congr theorem setLaverage_congr_fun (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ⨍⁻ x in s, f x ∂μ = ⨍⁻ x in s, g x ∂μ := by simp only [laverage_eq, set_lintegral_congr_fun hs h] #align measure_theory.set_laverage_congr_fun MeasureTheory.setLaverage_congr_fun theorem laverage_lt_top (hf : ∫⁻ x, f x ∂μ ≠ ∞) : ⨍⁻ x, f x ∂μ < ∞ := by obtain rfl | hμ := eq_or_ne μ 0 · simp · rw [laverage_eq] exact div_lt_top hf (measure_univ_ne_zero.2 hμ) #align measure_theory.laverage_lt_top MeasureTheory.laverage_lt_top theorem setLaverage_lt_top : ∫⁻ x in s, f x ∂μ ≠ ∞ → ⨍⁻ x in s, f x ∂μ < ∞ := laverage_lt_top #align measure_theory.set_laverage_lt_top MeasureTheory.setLaverage_lt_top theorem laverage_add_measure : ⨍⁻ x, f x ∂(μ + ν) = μ univ / (μ univ + ν univ) * ⨍⁻ x, f x ∂μ + ν univ / (μ univ + ν univ) * ⨍⁻ x, f x ∂ν := by by_cases hμ : IsFiniteMeasure μ; swap · rw [not_isFiniteMeasure_iff] at hμ simp [laverage_eq, hμ] by_cases hν : IsFiniteMeasure ν; swap · rw [not_isFiniteMeasure_iff] at hν simp [laverage_eq, hν] haveI := hμ; haveI := hν simp only [← ENNReal.mul_div_right_comm, measure_mul_laverage, ← ENNReal.add_div, ← lintegral_add_measure, ← Measure.add_apply, ← laverage_eq] #align measure_theory.laverage_add_measure MeasureTheory.laverage_add_measure theorem measure_mul_setLaverage (f : α → ℝ≥0∞) (h : μ s ≠ ∞) : μ s * ⨍⁻ x in s, f x ∂μ = ∫⁻ x in s, f x ∂μ := by have := Fact.mk h.lt_top rw [← measure_mul_laverage, restrict_apply_univ] #align measure_theory.measure_mul_set_laverage MeasureTheory.measure_mul_setLaverage theorem laverage_union (hd : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) : ⨍⁻ x in s ∪ t, f x ∂μ = μ s / (μ s + μ t) * ⨍⁻ x in s, f x ∂μ + μ t / (μ s + μ t) * ⨍⁻ x in t, f x ∂μ := by rw [restrict_union₀ hd ht, laverage_add_measure, restrict_apply_univ, restrict_apply_univ] #align measure_theory.laverage_union MeasureTheory.laverage_union theorem laverage_union_mem_openSegment (hd : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) (hs₀ : μ s ≠ 0) (ht₀ : μ t ≠ 0) (hsμ : μ s ≠ ∞) (htμ : μ t ≠ ∞) : ⨍⁻ x in s ∪ t, f x ∂μ ∈ openSegment ℝ≥0∞ (⨍⁻ x in s, f x ∂μ) (⨍⁻ x in t, f x ∂μ) := by refine ⟨μ s / (μ s + μ t), μ t / (μ s + μ t), ENNReal.div_pos hs₀ <| add_ne_top.2 ⟨hsμ, htμ⟩, ENNReal.div_pos ht₀ <| add_ne_top.2 ⟨hsμ, htμ⟩, ?_, (laverage_union hd ht).symm⟩ rw [← ENNReal.add_div, ENNReal.div_self (add_eq_zero.not.2 fun h => hs₀ h.1) (add_ne_top.2 ⟨hsμ, htμ⟩)] #align measure_theory.laverage_union_mem_open_segment MeasureTheory.laverage_union_mem_openSegment theorem laverage_union_mem_segment (hd : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) (hsμ : μ s ≠ ∞) (htμ : μ t ≠ ∞) : ⨍⁻ x in s ∪ t, f x ∂μ ∈ [⨍⁻ x in s, f x ∂μ -[ℝ≥0∞] ⨍⁻ x in t, f x ∂μ] := by by_cases hs₀ : μ s = 0 · rw [← ae_eq_empty] at hs₀ rw [restrict_congr_set (hs₀.union EventuallyEq.rfl), empty_union] exact right_mem_segment _ _ _ · refine ⟨μ s / (μ s + μ t), μ t / (μ s + μ t), zero_le _, zero_le _, ?_, (laverage_union hd ht).symm⟩ rw [← ENNReal.add_div, ENNReal.div_self (add_eq_zero.not.2 fun h => hs₀ h.1) (add_ne_top.2 ⟨hsμ, htμ⟩)] #align measure_theory.laverage_union_mem_segment MeasureTheory.laverage_union_mem_segment
Mathlib/MeasureTheory/Integral/Average.lean
218
223
theorem laverage_mem_openSegment_compl_self [IsFiniteMeasure μ] (hs : NullMeasurableSet s μ) (hs₀ : μ s ≠ 0) (hsc₀ : μ sᶜ ≠ 0) : ⨍⁻ x, f x ∂μ ∈ openSegment ℝ≥0∞ (⨍⁻ x in s, f x ∂μ) (⨍⁻ x in sᶜ, f x ∂μ) := by
simpa only [union_compl_self, restrict_univ] using laverage_union_mem_openSegment aedisjoint_compl_right hs.compl hs₀ hsc₀ (measure_ne_top _ _) (measure_ne_top _ _)
import Mathlib.Analysis.InnerProductSpace.Adjoint import Mathlib.Topology.Algebra.Module.Basic #align_import analysis.inner_product_space.linear_pmap from "leanprover-community/mathlib"@"8b981918a93bc45a8600de608cde7944a80d92b9" noncomputable section open RCLike open scoped ComplexConjugate Classical variable {𝕜 E F G : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y namespace LinearPMap def IsFormalAdjoint (T : E →ₗ.[𝕜] F) (S : F →ₗ.[𝕜] E) : Prop := ∀ (x : T.domain) (y : S.domain), ⟪T x, y⟫ = ⟪(x : E), S y⟫ #align linear_pmap.is_formal_adjoint LinearPMap.IsFormalAdjoint variable {T : E →ₗ.[𝕜] F} {S : F →ₗ.[𝕜] E} @[symm] protected theorem IsFormalAdjoint.symm (h : T.IsFormalAdjoint S) : S.IsFormalAdjoint T := fun y _ => by rw [← inner_conj_symm, ← inner_conj_symm (y : F), h] #align linear_pmap.is_formal_adjoint.symm LinearPMap.IsFormalAdjoint.symm variable (T) def adjointDomain : Submodule 𝕜 F where carrier := {y | Continuous ((innerₛₗ 𝕜 y).comp T.toFun)} zero_mem' := by rw [Set.mem_setOf_eq, LinearMap.map_zero, LinearMap.zero_comp] exact continuous_zero add_mem' hx hy := by rw [Set.mem_setOf_eq, LinearMap.map_add] at *; exact hx.add hy smul_mem' a x hx := by rw [Set.mem_setOf_eq, LinearMap.map_smulₛₗ] at * exact hx.const_smul (conj a) #align linear_pmap.adjoint_domain LinearPMap.adjointDomain def adjointDomainMkCLM (y : T.adjointDomain) : T.domain →L[𝕜] 𝕜 := ⟨(innerₛₗ 𝕜 (y : F)).comp T.toFun, y.prop⟩ #align linear_pmap.adjoint_domain_mk_clm LinearPMap.adjointDomainMkCLM theorem adjointDomainMkCLM_apply (y : T.adjointDomain) (x : T.domain) : adjointDomainMkCLM T y x = ⟪(y : F), T x⟫ := rfl #align linear_pmap.adjoint_domain_mk_clm_apply LinearPMap.adjointDomainMkCLM_apply variable {T} variable (hT : Dense (T.domain : Set E)) def adjointDomainMkCLMExtend (y : T.adjointDomain) : E →L[𝕜] 𝕜 := (T.adjointDomainMkCLM y).extend (Submodule.subtypeL T.domain) hT.denseRange_val uniformEmbedding_subtype_val.toUniformInducing #align linear_pmap.adjoint_domain_mk_clm_extend LinearPMap.adjointDomainMkCLMExtend @[simp] theorem adjointDomainMkCLMExtend_apply (y : T.adjointDomain) (x : T.domain) : adjointDomainMkCLMExtend hT y (x : E) = ⟪(y : F), T x⟫ := ContinuousLinearMap.extend_eq _ _ _ _ _ #align linear_pmap.adjoint_domain_mk_clm_extend_apply LinearPMap.adjointDomainMkCLMExtend_apply variable [CompleteSpace E] def adjointAux : T.adjointDomain →ₗ[𝕜] E where toFun y := (InnerProductSpace.toDual 𝕜 E).symm (adjointDomainMkCLMExtend hT y) map_add' x y := hT.eq_of_inner_left fun _ => by simp only [inner_add_left, Submodule.coe_add, InnerProductSpace.toDual_symm_apply, adjointDomainMkCLMExtend_apply] map_smul' _ _ := hT.eq_of_inner_left fun _ => by simp only [inner_smul_left, Submodule.coe_smul_of_tower, RingHom.id_apply, InnerProductSpace.toDual_symm_apply, adjointDomainMkCLMExtend_apply] #align linear_pmap.adjoint_aux LinearPMap.adjointAux
Mathlib/Analysis/InnerProductSpace/LinearPMap.lean
140
147
theorem adjointAux_inner (y : T.adjointDomain) (x : T.domain) : ⟪adjointAux hT y, x⟫ = ⟪(y : F), T x⟫ := by
simp only [adjointAux, LinearMap.coe_mk, InnerProductSpace.toDual_symm_apply, adjointDomainMkCLMExtend_apply] -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5026): -- mathlib3 was finished here simp only [AddHom.coe_mk, InnerProductSpace.toDual_symm_apply] rw [adjointDomainMkCLMExtend_apply]
import Mathlib.NumberTheory.LegendreSymbol.Basic import Mathlib.Analysis.Normed.Field.Basic #align_import number_theory.legendre_symbol.gauss_eisenstein_lemmas from "leanprover-community/mathlib"@"8818fdefc78642a7e6afcd20be5c184f3c7d9699" open Finset Nat open scoped Nat section GaussEisenstein namespace ZMod theorem Ico_map_valMinAbs_natAbs_eq_Ico_map_id (p : ℕ) [hp : Fact p.Prime] (a : ZMod p) (hap : a ≠ 0) : ((Ico 1 (p / 2).succ).1.map fun (x : ℕ) => (a * x).valMinAbs.natAbs) = (Ico 1 (p / 2).succ).1.map fun a => a := by have he : ∀ {x}, x ∈ Ico 1 (p / 2).succ → x ≠ 0 ∧ x ≤ p / 2 := by simp (config := { contextual := true }) [Nat.lt_succ_iff, Nat.succ_le_iff, pos_iff_ne_zero] have hep : ∀ {x}, x ∈ Ico 1 (p / 2).succ → x < p := fun hx => lt_of_le_of_lt (he hx).2 (Nat.div_lt_self hp.1.pos (by decide)) have hpe : ∀ {x}, x ∈ Ico 1 (p / 2).succ → ¬p ∣ x := fun hx hpx => not_lt_of_ge (le_of_dvd (Nat.pos_of_ne_zero (he hx).1) hpx) (hep hx) have hmem : ∀ (x : ℕ) (hx : x ∈ Ico 1 (p / 2).succ), (a * x : ZMod p).valMinAbs.natAbs ∈ Ico 1 (p / 2).succ := by intro x hx simp [hap, CharP.cast_eq_zero_iff (ZMod p) p, hpe hx, Nat.lt_succ_iff, succ_le_iff, pos_iff_ne_zero, natAbs_valMinAbs_le _] have hsurj : ∀ (b : ℕ) (hb : b ∈ Ico 1 (p / 2).succ), ∃ x, ∃ _ : x ∈ Ico 1 (p / 2).succ, (a * x : ZMod p).valMinAbs.natAbs = b := by intro b hb refine ⟨(b / a : ZMod p).valMinAbs.natAbs, mem_Ico.mpr ⟨?_, ?_⟩, ?_⟩ · apply Nat.pos_of_ne_zero simp only [div_eq_mul_inv, hap, CharP.cast_eq_zero_iff (ZMod p) p, hpe hb, not_false_iff, valMinAbs_eq_zero, inv_eq_zero, Int.natAbs_eq_zero, Ne, _root_.mul_eq_zero, or_self_iff] · apply lt_succ_of_le; apply natAbs_valMinAbs_le · rw [natCast_natAbs_valMinAbs] split_ifs · erw [mul_div_cancel₀ _ hap, valMinAbs_def_pos, val_cast_of_lt (hep hb), if_pos (le_of_lt_succ (mem_Ico.1 hb).2), Int.natAbs_ofNat] · erw [mul_neg, mul_div_cancel₀ _ hap, natAbs_valMinAbs_neg, valMinAbs_def_pos, val_cast_of_lt (hep hb), if_pos (le_of_lt_succ (mem_Ico.1 hb).2), Int.natAbs_ofNat] exact Multiset.map_eq_map_of_bij_of_nodup _ _ (Finset.nodup _) (Finset.nodup _) (fun x _ => (a * x : ZMod p).valMinAbs.natAbs) hmem (inj_on_of_surj_on_of_card_le _ hmem hsurj le_rfl) hsurj (fun _ _ => rfl) #align zmod.Ico_map_val_min_abs_nat_abs_eq_Ico_map_id ZMod.Ico_map_valMinAbs_natAbs_eq_Ico_map_id private theorem gauss_lemma_aux₁ (p : ℕ) [Fact p.Prime] {a : ℤ} (hap : (a : ZMod p) ≠ 0) : (a ^ (p / 2) * (p / 2)! : ZMod p) = (-1 : ZMod p) ^ ((Ico 1 (p / 2).succ).filter fun x : ℕ => ¬(a * x : ZMod p).val ≤ p / 2).card * (p / 2)! := calc (a ^ (p / 2) * (p / 2)! : ZMod p) = ∏ x ∈ Ico 1 (p / 2).succ, a * x := by rw [prod_mul_distrib, ← prod_natCast, prod_Ico_id_eq_factorial, prod_const, card_Ico, Nat.add_one_sub_one]; simp _ = ∏ x ∈ Ico 1 (p / 2).succ, ↑((a * x : ZMod p).val) := by simp _ = ∏ x ∈ Ico 1 (p / 2).succ, (if (a * x : ZMod p).val ≤ p / 2 then (1 : ZMod p) else -1) * (a * x : ZMod p).valMinAbs.natAbs := (prod_congr rfl fun _ _ => by simp only [natCast_natAbs_valMinAbs] split_ifs <;> simp) _ = (-1 : ZMod p) ^ ((Ico 1 (p / 2).succ).filter fun x : ℕ => ¬(a * x : ZMod p).val ≤ p / 2).card * ∏ x ∈ Ico 1 (p / 2).succ, ↑((a * x : ZMod p).valMinAbs.natAbs) := by have : (∏ x ∈ Ico 1 (p / 2).succ, if (a * x : ZMod p).val ≤ p / 2 then (1 : ZMod p) else -1) = ∏ x ∈ (Ico 1 (p / 2).succ).filter fun x : ℕ => ¬(a * x : ZMod p).val ≤ p / 2, -1 := prod_bij_ne_one (fun x _ _ => x) (fun x => by split_ifs <;> (dsimp; simp_all)) (fun _ _ _ _ _ _ => id) (fun b h _ => ⟨b, by simp_all [-not_le]⟩) (by intros; split_ifs at * <;> simp_all) rw [prod_mul_distrib, this, prod_const] _ = (-1 : ZMod p) ^ ((Ico 1 (p / 2).succ).filter fun x : ℕ => ¬(a * x : ZMod p).val ≤ p / 2).card * (p / 2)! := by rw [← prod_natCast, Finset.prod_eq_multiset_prod, Ico_map_valMinAbs_natAbs_eq_Ico_map_id p a hap, ← Finset.prod_eq_multiset_prod, prod_Ico_id_eq_factorial] theorem gauss_lemma_aux (p : ℕ) [hp : Fact p.Prime] {a : ℤ} (hap : (a : ZMod p) ≠ 0) : (↑a ^ (p / 2) : ZMod p) = ((-1) ^ ((Ico 1 (p / 2).succ).filter fun x : ℕ => p / 2 < (a * x : ZMod p).val).card :) := (mul_left_inj' (show ((p / 2)! : ZMod p) ≠ 0 by rw [Ne, CharP.cast_eq_zero_iff (ZMod p) p, hp.1.dvd_factorial, not_le] exact Nat.div_lt_self hp.1.pos (by decide))).1 <| by simpa using gauss_lemma_aux₁ p hap #align zmod.gauss_lemma_aux ZMod.gauss_lemma_aux
Mathlib/NumberTheory/LegendreSymbol/GaussEisensteinLemmas.lean
105
115
theorem gauss_lemma {p : ℕ} [h : Fact p.Prime] {a : ℤ} (hp : p ≠ 2) (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = (-1) ^ ((Ico 1 (p / 2).succ).filter fun x : ℕ => p / 2 < (a * x : ZMod p).val).card := by
replace hp : Odd p := h.out.odd_of_ne_two hp have : (legendreSym p a : ZMod p) = (((-1) ^ ((Ico 1 (p / 2).succ).filter fun x : ℕ => p / 2 < (a * x : ZMod p).val).card : ℤ) : ZMod p) := by rw [legendreSym.eq_pow, gauss_lemma_aux p ha0] cases legendreSym.eq_one_or_neg_one p ha0 <;> cases neg_one_pow_eq_or ℤ ((Ico 1 (p / 2).succ).filter fun x : ℕ => p / 2 < (a * x : ZMod p).val).card <;> simp_all [ne_neg_self hp one_ne_zero, (ne_neg_self hp one_ne_zero).symm]
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
.lake/packages/batteries/Batteries/Data/List/Lemmas.lean
613
616
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
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Group.Measure #align_import measure_theory.group.prod from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set hiding prod_eq open Function MeasureTheory open Filter hiding map open scoped Classical ENNReal Pointwise MeasureTheory variable (G : Type*) [MeasurableSpace G] variable [Group G] [MeasurableMul₂ G] variable (μ ν : Measure G) [SigmaFinite ν] [SigmaFinite μ] {s : Set G} @[to_additive "The map `(x, y) ↦ (x, x + y)` as a `MeasurableEquiv`."] protected def MeasurableEquiv.shearMulRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with measurable_toFun := measurable_fst.prod_mk measurable_mul measurable_invFun := measurable_fst.prod_mk <| measurable_fst.inv.mul measurable_snd } #align measurable_equiv.shear_mul_right MeasurableEquiv.shearMulRight #align measurable_equiv.shear_add_right MeasurableEquiv.shearAddRight @[to_additive "The map `(x, y) ↦ (x, y - x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, y + x)`."] protected def MeasurableEquiv.shearDivRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.divRight with measurable_toFun := measurable_fst.prod_mk <| measurable_snd.div measurable_fst measurable_invFun := measurable_fst.prod_mk <| measurable_snd.mul measurable_fst } #align measurable_equiv.shear_div_right MeasurableEquiv.shearDivRight #align measurable_equiv.shear_sub_right MeasurableEquiv.shearSubRight variable {G} namespace MeasureTheory open Measure section LeftInvariant @[to_additive measurePreserving_prod_add " The shear mapping `(x, y) ↦ (x, x + y)` preserves the measure `μ × ν`. "] theorem measurePreserving_prod_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1 * z.2)) (μ.prod ν) (μ.prod ν) := (MeasurePreserving.id μ).skew_product measurable_mul <| Filter.eventually_of_forall <| map_mul_left_eq_self ν #align measure_theory.measure_preserving_prod_mul MeasureTheory.measurePreserving_prod_mul #align measure_theory.measure_preserving_prod_add MeasureTheory.measurePreserving_prod_add @[to_additive measurePreserving_prod_add_swap " The map `(x, y) ↦ (y, y + x)` sends the measure `μ × ν` to `ν × μ`. "] theorem measurePreserving_prod_mul_swap [IsMulLeftInvariant μ] : MeasurePreserving (fun z : G × G => (z.2, z.2 * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_mul_swap MeasureTheory.measurePreserving_prod_mul_swap #align measure_theory.measure_preserving_prod_add_swap MeasureTheory.measurePreserving_prod_add_swap @[to_additive] theorem measurable_measure_mul_right (hs : MeasurableSet s) : Measurable fun x => μ ((fun y => y * x) ⁻¹' s) := by suffices Measurable fun y => μ ((fun x => (x, y)) ⁻¹' ((fun z : G × G => ((1 : G), z.1 * z.2)) ⁻¹' univ ×ˢ s)) by convert this using 1; ext1 x; congr 1 with y : 1; simp apply measurable_measure_prod_mk_right apply measurable_const.prod_mk measurable_mul (MeasurableSet.univ.prod hs) infer_instance #align measure_theory.measurable_measure_mul_right MeasureTheory.measurable_measure_mul_right #align measure_theory.measurable_measure_add_right MeasureTheory.measurable_measure_add_right variable [MeasurableInv G] @[to_additive measurePreserving_prod_neg_add "The map `(x, y) ↦ (x, - x + y)` is measure-preserving."] theorem measurePreserving_prod_inv_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1⁻¹ * z.2)) (μ.prod ν) (μ.prod ν) := (measurePreserving_prod_mul μ ν).symm <| MeasurableEquiv.shearMulRight G #align measure_theory.measure_preserving_prod_inv_mul MeasureTheory.measurePreserving_prod_inv_mul #align measure_theory.measure_preserving_prod_neg_add MeasureTheory.measurePreserving_prod_neg_add variable [IsMulLeftInvariant μ] @[to_additive measurePreserving_prod_neg_add_swap "The map `(x, y) ↦ (y, - y + x)` sends `μ × ν` to `ν × μ`."] theorem measurePreserving_prod_inv_mul_swap : MeasurePreserving (fun z : G × G => (z.2, z.2⁻¹ * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_inv_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_inv_mul_swap MeasureTheory.measurePreserving_prod_inv_mul_swap #align measure_theory.measure_preserving_prod_neg_add_swap MeasureTheory.measurePreserving_prod_neg_add_swap @[to_additive measurePreserving_add_prod_neg "The map `(x, y) ↦ (y + x, - x)` is measure-preserving."] theorem measurePreserving_mul_prod_inv [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by convert (measurePreserving_prod_inv_mul_swap ν μ).comp (measurePreserving_prod_mul_swap μ ν) using 1 ext1 ⟨x, y⟩ simp_rw [Function.comp_apply, mul_inv_rev, inv_mul_cancel_right] #align measure_theory.measure_preserving_mul_prod_inv MeasureTheory.measurePreserving_mul_prod_inv #align measure_theory.measure_preserving_add_prod_neg MeasureTheory.measurePreserving_add_prod_neg @[to_additive] theorem quasiMeasurePreserving_inv : QuasiMeasurePreserving (Inv.inv : G → G) μ μ := by refine ⟨measurable_inv, AbsolutelyContinuous.mk fun s hsm hμs => ?_⟩ rw [map_apply measurable_inv hsm, inv_preimage] have hf : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) := (measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv suffices map (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod μ) (s⁻¹ ×ˢ s⁻¹) = 0 by simpa only [(measurePreserving_mul_prod_inv μ μ).map_eq, prod_prod, mul_eq_zero (M₀ := ℝ≥0∞), or_self_iff] using this have hsm' : MeasurableSet (s⁻¹ ×ˢ s⁻¹) := hsm.inv.prod hsm.inv simp_rw [map_apply hf hsm', prod_apply_symm (μ := μ) (ν := μ) (hf hsm'), preimage_preimage, mk_preimage_prod, inv_preimage, inv_inv, measure_mono_null inter_subset_right hμs, lintegral_zero] #align measure_theory.quasi_measure_preserving_inv MeasureTheory.quasiMeasurePreserving_inv #align measure_theory.quasi_measure_preserving_neg MeasureTheory.quasiMeasurePreserving_neg @[to_additive] theorem measure_inv_null : μ s⁻¹ = 0 ↔ μ s = 0 := by refine ⟨fun hs => ?_, (quasiMeasurePreserving_inv μ).preimage_null⟩ rw [← inv_inv s] exact (quasiMeasurePreserving_inv μ).preimage_null hs #align measure_theory.measure_inv_null MeasureTheory.measure_inv_null #align measure_theory.measure_neg_null MeasureTheory.measure_neg_null @[to_additive] theorem inv_absolutelyContinuous : μ.inv ≪ μ := (quasiMeasurePreserving_inv μ).absolutelyContinuous #align measure_theory.inv_absolutely_continuous MeasureTheory.inv_absolutelyContinuous #align measure_theory.neg_absolutely_continuous MeasureTheory.neg_absolutelyContinuous @[to_additive] theorem absolutelyContinuous_inv : μ ≪ μ.inv := by refine AbsolutelyContinuous.mk fun s _ => ?_ simp_rw [inv_apply μ s, measure_inv_null, imp_self] #align measure_theory.absolutely_continuous_inv MeasureTheory.absolutelyContinuous_inv #align measure_theory.absolutely_continuous_neg MeasureTheory.absolutelyContinuous_neg @[to_additive]
Mathlib/MeasureTheory/Group/Prod.lean
198
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theorem lintegral_lintegral_mul_inv [IsMulLeftInvariant ν] (f : G → G → ℝ≥0∞) (hf : AEMeasurable (uncurry f) (μ.prod ν)) : (∫⁻ x, ∫⁻ y, f (y * x) x⁻¹ ∂ν ∂μ) = ∫⁻ x, ∫⁻ y, f x y ∂ν ∂μ := by
have h : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) := (measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv have h2f : AEMeasurable (uncurry fun x y => f (y * x) x⁻¹) (μ.prod ν) := hf.comp_quasiMeasurePreserving (measurePreserving_mul_prod_inv μ ν).quasiMeasurePreserving simp_rw [lintegral_lintegral h2f, lintegral_lintegral hf] conv_rhs => rw [← (measurePreserving_mul_prod_inv μ ν).map_eq] symm exact lintegral_map' (hf.mono' (measurePreserving_mul_prod_inv μ ν).map_eq.absolutelyContinuous) h.aemeasurable
import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0 theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring #align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) : HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1 rw [id, mul_one] #align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by by_cases hK : K = 0 · simp only [gronwallBound, if_pos hK, mul_zero, add_zero] · simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] #align gronwall_bound_x0 gronwallBound_x0 theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] · simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero] #align gronwall_bound_ε0 gronwallBound_ε0 theorem gronwallBound_ε0_δ0 (K x : ℝ) : gronwallBound 0 K 0 x = 0 := by simp only [gronwallBound_ε0, zero_mul] #align gronwall_bound_ε0_δ0 gronwallBound_ε0_δ0 theorem gronwallBound_continuous_ε (δ K x : ℝ) : Continuous fun ε => gronwallBound δ K ε x := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK] exact continuous_const.add (continuous_id.mul continuous_const) · simp only [gronwallBound_of_K_ne_0 hK] exact continuous_const.add ((continuous_id.mul continuous_const).mul continuous_const) #align gronwall_bound_continuous_ε gronwallBound_continuous_ε theorem le_gronwallBound_of_liminf_deriv_right_le {f f' : ℝ → ℝ} {δ K ε : ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, (z - x)⁻¹ * (f z - f x) < r) (ha : f a ≤ δ) (bound : ∀ x ∈ Ico a b, f' x ≤ K * f x + ε) : ∀ x ∈ Icc a b, f x ≤ gronwallBound δ K ε (x - a) := by have H : ∀ x ∈ Icc a b, ∀ ε' ∈ Ioi ε, f x ≤ gronwallBound δ K ε' (x - a) := by intro x hx ε' hε' apply image_le_of_liminf_slope_right_lt_deriv_boundary hf hf' · rwa [sub_self, gronwallBound_x0] · exact fun x => hasDerivAt_gronwallBound_shift δ K ε' x a · intro x hx hfB rw [← hfB] apply lt_of_le_of_lt (bound x hx) exact add_lt_add_left (mem_Ioi.1 hε') _ · exact hx intro x hx change f x ≤ (fun ε' => gronwallBound δ K ε' (x - a)) ε convert continuousWithinAt_const.closure_le _ _ (H x hx) · simp only [closure_Ioi, left_mem_Ici] exact (gronwallBound_continuous_ε δ K (x - a)).continuousWithinAt #align le_gronwall_bound_of_liminf_deriv_right_le le_gronwallBound_of_liminf_deriv_right_le theorem norm_le_gronwallBound_of_norm_deriv_right_le {f f' : ℝ → E} {δ K ε : ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) (ha : ‖f a‖ ≤ δ) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ K * ‖f x‖ + ε) : ∀ x ∈ Icc a b, ‖f x‖ ≤ gronwallBound δ K ε (x - a) := le_gronwallBound_of_liminf_deriv_right_le (continuous_norm.comp_continuousOn hf) (fun x hx _r hr => (hf' x hx).liminf_right_slope_norm_le hr) ha bound #align norm_le_gronwall_bound_of_norm_deriv_right_le norm_le_gronwallBound_of_norm_deriv_right_le variable {v : ℝ → E → E} {s : ℝ → Set E} {K : ℝ≥0} {f g f' g' : ℝ → E} {a b t₀ : ℝ} {εf εg δ : ℝ} (hv : ∀ t, LipschitzOnWith K (v t) (s t)) theorem dist_le_of_approx_trajectories_ODE_of_mem (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (f' t) (Ici t) t) (f_bound : ∀ t ∈ Ico a b, dist (f' t) (v t (f t)) ≤ εf) (hfs : ∀ t ∈ Ico a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (g' t) (Ici t) t) (g_bound : ∀ t ∈ Ico a b, dist (g' t) (v t (g t)) ≤ εg) (hgs : ∀ t ∈ Ico a b, g t ∈ s t) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ gronwallBound δ K (εf + εg) (t - a) := by simp only [dist_eq_norm] at ha ⊢ have h_deriv : ∀ t ∈ Ico a b, HasDerivWithinAt (fun t => f t - g t) (f' t - g' t) (Ici t) t := fun t ht => (hf' t ht).sub (hg' t ht) apply norm_le_gronwallBound_of_norm_deriv_right_le (hf.sub hg) h_deriv ha intro t ht have := dist_triangle4_right (f' t) (g' t) (v t (f t)) (v t (g t)) have hv := (hv t).dist_le_mul _ (hfs t ht) _ (hgs t ht) rw [← dist_eq_norm, ← dist_eq_norm] refine this.trans ((add_le_add (add_le_add (f_bound t ht) (g_bound t ht)) hv).trans ?_) rw [add_comm] set_option linter.uppercaseLean3 false in #align dist_le_of_approx_trajectories_ODE_of_mem_set dist_le_of_approx_trajectories_ODE_of_mem theorem dist_le_of_approx_trajectories_ODE (hv : ∀ t, LipschitzWith K (v t)) (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (f' t) (Ici t) t) (f_bound : ∀ t ∈ Ico a b, dist (f' t) (v t (f t)) ≤ εf) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (g' t) (Ici t) t) (g_bound : ∀ t ∈ Ico a b, dist (g' t) (v t (g t)) ≤ εg) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ gronwallBound δ K (εf + εg) (t - a) := have hfs : ∀ t ∈ Ico a b, f t ∈ @univ E := fun _ _ => trivial dist_le_of_approx_trajectories_ODE_of_mem (fun t => (hv t).lipschitzOnWith _) hf hf' f_bound hfs hg hg' g_bound (fun _ _ => trivial) ha set_option linter.uppercaseLean3 false in #align dist_le_of_approx_trajectories_ODE dist_le_of_approx_trajectories_ODE theorem dist_le_of_trajectories_ODE_of_mem (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (v t (f t)) (Ici t) t) (hfs : ∀ t ∈ Ico a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (v t (g t)) (Ici t) t) (hgs : ∀ t ∈ Ico a b, g t ∈ s t) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ δ * exp (K * (t - a)) := by have f_bound : ∀ t ∈ Ico a b, dist (v t (f t)) (v t (f t)) ≤ 0 := by intros; rw [dist_self] have g_bound : ∀ t ∈ Ico a b, dist (v t (g t)) (v t (g t)) ≤ 0 := by intros; rw [dist_self] intro t ht have := dist_le_of_approx_trajectories_ODE_of_mem hv hf hf' f_bound hfs hg hg' g_bound hgs ha t ht rwa [zero_add, gronwallBound_ε0] at this set_option linter.uppercaseLean3 false in #align dist_le_of_trajectories_ODE_of_mem_set dist_le_of_trajectories_ODE_of_mem theorem dist_le_of_trajectories_ODE (hv : ∀ t, LipschitzWith K (v t)) (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (v t (f t)) (Ici t) t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (v t (g t)) (Ici t) t) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ δ * exp (K * (t - a)) := have hfs : ∀ t ∈ Ico a b, f t ∈ @univ E := fun _ _ => trivial dist_le_of_trajectories_ODE_of_mem (fun t => (hv t).lipschitzOnWith _) hf hf' hfs hg hg' (fun _ _ => trivial) ha set_option linter.uppercaseLean3 false in #align dist_le_of_trajectories_ODE dist_le_of_trajectories_ODE theorem ODE_solution_unique_of_mem_Icc_right (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (v t (f t)) (Ici t) t) (hfs : ∀ t ∈ Ico a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (v t (g t)) (Ici t) t) (hgs : ∀ t ∈ Ico a b, g t ∈ s t) (ha : f a = g a) : EqOn f g (Icc a b) := fun t ht ↦ by have := dist_le_of_trajectories_ODE_of_mem hv hf hf' hfs hg hg' hgs (dist_le_zero.2 ha) t ht rwa [zero_mul, dist_le_zero] at this set_option linter.uppercaseLean3 false in #align ODE_solution_unique_of_mem_set ODE_solution_unique_of_mem_Icc_right theorem ODE_solution_unique_of_mem_Icc_left (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ioc a b, HasDerivWithinAt f (v t (f t)) (Iic t) t) (hfs : ∀ t ∈ Ioc a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ioc a b, HasDerivWithinAt g (v t (g t)) (Iic t) t) (hgs : ∀ t ∈ Ioc a b, g t ∈ s t) (hb : f b = g b) : EqOn f g (Icc a b) := by have hv' t : LipschitzOnWith K (Neg.neg ∘ (v (-t))) (s (-t)) := by rw [← one_mul K] exact LipschitzWith.id.neg.comp_lipschitzOnWith (hv _) have hmt1 : MapsTo Neg.neg (Icc (-b) (-a)) (Icc a b) := fun _ ht ↦ ⟨le_neg.mp ht.2, neg_le.mp ht.1⟩ have hmt2 : MapsTo Neg.neg (Ico (-b) (-a)) (Ioc a b) := fun _ ht ↦ ⟨lt_neg.mp ht.2, neg_le.mp ht.1⟩ have hmt3 (t : ℝ) : MapsTo Neg.neg (Ici t) (Iic (-t)) := fun _ ht' ↦ mem_Iic.mpr <| neg_le_neg ht' suffices EqOn (f ∘ Neg.neg) (g ∘ Neg.neg) (Icc (-b) (-a)) by rw [eqOn_comp_right_iff] at this convert this simp apply ODE_solution_unique_of_mem_Icc_right hv' (hf.comp continuousOn_neg hmt1) _ (fun _ ht ↦ hfs _ (hmt2 ht)) (hg.comp continuousOn_neg hmt1) _ (fun _ ht ↦ hgs _ (hmt2 ht)) (by simp [hb]) · intros t ht convert HasFDerivWithinAt.comp_hasDerivWithinAt t (hf' (-t) (hmt2 ht)) (hasDerivAt_neg t).hasDerivWithinAt (hmt3 t) simp · intros t ht convert HasFDerivWithinAt.comp_hasDerivWithinAt t (hg' (-t) (hmt2 ht)) (hasDerivAt_neg t).hasDerivWithinAt (hmt3 t) simp theorem ODE_solution_unique_of_mem_Icc (ht : t₀ ∈ Ioo a b) (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ioo a b, HasDerivAt f (v t (f t)) t) (hfs : ∀ t ∈ Ioo a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ioo a b, HasDerivAt g (v t (g t)) t) (hgs : ∀ t ∈ Ioo a b, g t ∈ s t) (heq : f t₀ = g t₀) : EqOn f g (Icc a b) := by rw [← Icc_union_Icc_eq_Icc (le_of_lt ht.1) (le_of_lt ht.2)] apply EqOn.union · have hss : Ioc a t₀ ⊆ Ioo a b := Ioc_subset_Ioo_right ht.2 exact ODE_solution_unique_of_mem_Icc_left hv (hf.mono <| Icc_subset_Icc_right <| le_of_lt ht.2) (fun _ ht' ↦ (hf' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hfs _ (hss ht'))) (hg.mono <| Icc_subset_Icc_right <| le_of_lt ht.2) (fun _ ht' ↦ (hg' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hgs _ (hss ht'))) heq · have hss : Ico t₀ b ⊆ Ioo a b := Ico_subset_Ioo_left ht.1 exact ODE_solution_unique_of_mem_Icc_right hv (hf.mono <| Icc_subset_Icc_left <| le_of_lt ht.1) (fun _ ht' ↦ (hf' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hfs _ (hss ht'))) (hg.mono <| Icc_subset_Icc_left <| le_of_lt ht.1) (fun _ ht' ↦ (hg' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hgs _ (hss ht'))) heq theorem ODE_solution_unique_of_mem_Ioo (ht : t₀ ∈ Ioo a b) (hf : ∀ t ∈ Ioo a b, HasDerivAt f (v t (f t)) t ∧ f t ∈ s t) (hg : ∀ t ∈ Ioo a b, HasDerivAt g (v t (g t)) t ∧ g t ∈ s t) (heq : f t₀ = g t₀) : EqOn f g (Ioo a b) := by intros t' ht' rcases lt_or_le t' t₀ with (h | h) · have hss : Icc t' t₀ ⊆ Ioo a b := fun _ ht'' ↦ ⟨lt_of_lt_of_le ht'.1 ht''.1, lt_of_le_of_lt ht''.2 ht.2⟩ exact ODE_solution_unique_of_mem_Icc_left hv (ContinuousAt.continuousOn fun _ ht'' ↦ (hf _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hf _ <| hss <| Ioc_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hf _ <| hss <| Ioc_subset_Icc_self ht'').2) (ContinuousAt.continuousOn fun _ ht'' ↦ (hg _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hg _ <| hss <| Ioc_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hg _ <| hss <| Ioc_subset_Icc_self ht'').2) heq ⟨le_rfl, le_of_lt h⟩ · have hss : Icc t₀ t' ⊆ Ioo a b := fun _ ht'' ↦ ⟨lt_of_lt_of_le ht.1 ht''.1, lt_of_le_of_lt ht''.2 ht'.2⟩ exact ODE_solution_unique_of_mem_Icc_right hv (ContinuousAt.continuousOn fun _ ht'' ↦ (hf _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hf _ <| hss <| Ico_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hf _ <| hss <| Ico_subset_Icc_self ht'').2) (ContinuousAt.continuousOn fun _ ht'' ↦ (hg _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hg _ <| hss <| Ico_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hg _ <| hss <| Ico_subset_Icc_self ht'').2) heq ⟨h, le_rfl⟩
Mathlib/Analysis/ODE/Gronwall.lean
355
364
theorem ODE_solution_unique_of_eventually (hf : ∀ᶠ t in 𝓝 t₀, HasDerivAt f (v t (f t)) t ∧ f t ∈ s t) (hg : ∀ᶠ t in 𝓝 t₀, HasDerivAt g (v t (g t)) t ∧ g t ∈ s t) (heq : f t₀ = g t₀) : f =ᶠ[𝓝 t₀] g := by
obtain ⟨ε, hε, h⟩ := eventually_nhds_iff_ball.mp (hf.and hg) rw [Filter.eventuallyEq_iff_exists_mem] refine ⟨ball t₀ ε, ball_mem_nhds _ hε, ?_⟩ simp_rw [Real.ball_eq_Ioo] at * apply ODE_solution_unique_of_mem_Ioo hv (Real.ball_eq_Ioo t₀ ε ▸ mem_ball_self hε) (fun _ ht ↦ (h _ ht).1) (fun _ ht ↦ (h _ ht).2) heq
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section GeneralizedCoheytingAlgebra variable [GeneralizedCoheytingAlgebra α] (a b c d : α) @[simp] theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b := rfl #align to_dual_symm_diff toDual_symmDiff @[simp] theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b := rfl #align of_dual_bihimp ofDual_bihimp theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm] #align symm_diff_comm symmDiff_comm instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) := ⟨symmDiff_comm⟩ #align symm_diff_is_comm symmDiff_isCommutative @[simp]
Mathlib/Order/SymmDiff.lean
121
121
theorem symmDiff_self : a ∆ a = ⊥ := by
rw [symmDiff, sup_idem, sdiff_self]
import Mathlib.CategoryTheory.Sites.Coherent.RegularSheaves namespace CategoryTheory.regularTopology open Limits variable {C : Type*} [Category C] [Preregular C] {X : C} theorem mem_sieves_of_hasEffectiveEpi (S : Sieve X) : (∃ (Y : C) (π : Y ⟶ X), EffectiveEpi π ∧ S.arrows π) → (S ∈ (regularTopology C).sieves X) := by rintro ⟨Y, π, h⟩ have h_le : Sieve.generate (Presieve.ofArrows (fun () ↦ Y) (fun _ ↦ π)) ≤ S := by rw [Sieve.sets_iff_generate (Presieve.ofArrows _ _) S] apply Presieve.le_of_factorsThru_sieve (Presieve.ofArrows _ _) S _ intro W g f refine ⟨W, 𝟙 W, ?_⟩ cases f exact ⟨π, ⟨h.2, Category.id_comp π⟩⟩ apply Coverage.saturate_of_superset (regularCoverage C) h_le exact Coverage.saturate.of X _ ⟨Y, π, rfl, h.1⟩ instance {Y Y' : C} (π : Y ⟶ X) [EffectiveEpi π] (π' : Y' ⟶ Y) [EffectiveEpi π'] : EffectiveEpi (π' ≫ π) := by rw [effectiveEpi_iff_effectiveEpiFamily, ← Sieve.effectiveEpimorphic_family] suffices h₂ : (Sieve.generate (Presieve.ofArrows _ _)) ∈ GrothendieckTopology.sieves (regularTopology C) X by change Nonempty _ rw [← Sieve.forallYonedaIsSheaf_iff_colimit] exact fun W => regularTopology.isSheaf_yoneda_obj W _ h₂ apply Coverage.saturate.transitive X (Sieve.generate (Presieve.ofArrows (fun () ↦ Y) (fun () ↦ π))) · apply Coverage.saturate.of use Y, π · intro V f ⟨Y₁, h, g, ⟨hY, hf⟩⟩ rw [← hf, Sieve.pullback_comp] apply (regularTopology C).pullback_stable' apply regularTopology.mem_sieves_of_hasEffectiveEpi cases hY exact ⟨Y', π', inferInstance, Y', (𝟙 _), π' ≫ π, Presieve.ofArrows.mk (), (by simp)⟩
Mathlib/CategoryTheory/Sites/Coherent/RegularTopology.lean
64
78
theorem mem_sieves_iff_hasEffectiveEpi (S : Sieve X) : (S ∈ (regularTopology C).sieves X) ↔ ∃ (Y : C) (π : Y ⟶ X), EffectiveEpi π ∧ (S.arrows π) := by
constructor · intro h induction' h with Y T hS Y Y R S _ _ a b · rcases hS with ⟨Y', π, h'⟩ refine ⟨Y', π, h'.2, ?_⟩ rcases h' with ⟨rfl, _⟩ exact ⟨Y', 𝟙 Y', π, Presieve.ofArrows.mk (), (by simp)⟩ · exact ⟨Y, (𝟙 Y), inferInstance, by simp only [Sieve.top_apply, forall_const]⟩ · rcases a with ⟨Y₁, π, ⟨h₁,h₂⟩⟩ choose Y' π' _ H using b h₂ exact ⟨Y', π' ≫ π, inferInstance, (by simpa using H)⟩ · exact regularTopology.mem_sieves_of_hasEffectiveEpi S
import Mathlib.Tactic.Qify import Mathlib.Data.ZMod.Basic import Mathlib.NumberTheory.DiophantineApproximation import Mathlib.NumberTheory.Zsqrtd.Basic #align_import number_theory.pell from "leanprover-community/mathlib"@"7ad820c4997738e2f542f8a20f32911f52020e26" namespace Pell open Zsqrtd theorem is_pell_solution_iff_mem_unitary {d : ℤ} {a : ℤ√d} : a.re ^ 2 - d * a.im ^ 2 = 1 ↔ a ∈ unitary (ℤ√d) := by rw [← norm_eq_one_iff_mem_unitary, norm_def, sq, sq, ← mul_assoc] #align pell.is_pell_solution_iff_mem_unitary Pell.is_pell_solution_iff_mem_unitary -- We use `solution₁ d` to allow for a more general structure `solution d m` that -- encodes solutions to `x^2 - d*y^2 = m` to be added later. def Solution₁ (d : ℤ) : Type := ↥(unitary (ℤ√d)) #align pell.solution₁ Pell.Solution₁ namespace Solution₁ variable {d : ℤ} -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5020): manual deriving instance instCommGroup : CommGroup (Solution₁ d) := inferInstanceAs (CommGroup (unitary (ℤ√d))) #align pell.solution₁.comm_group Pell.Solution₁.instCommGroup instance instHasDistribNeg : HasDistribNeg (Solution₁ d) := inferInstanceAs (HasDistribNeg (unitary (ℤ√d))) #align pell.solution₁.has_distrib_neg Pell.Solution₁.instHasDistribNeg instance instInhabited : Inhabited (Solution₁ d) := inferInstanceAs (Inhabited (unitary (ℤ√d))) #align pell.solution₁.inhabited Pell.Solution₁.instInhabited instance : Coe (Solution₁ d) (ℤ√d) where coe := Subtype.val protected def x (a : Solution₁ d) : ℤ := (a : ℤ√d).re #align pell.solution₁.x Pell.Solution₁.x protected def y (a : Solution₁ d) : ℤ := (a : ℤ√d).im #align pell.solution₁.y Pell.Solution₁.y theorem prop (a : Solution₁ d) : a.x ^ 2 - d * a.y ^ 2 = 1 := is_pell_solution_iff_mem_unitary.mpr a.property #align pell.solution₁.prop Pell.Solution₁.prop theorem prop_x (a : Solution₁ d) : a.x ^ 2 = 1 + d * a.y ^ 2 := by rw [← a.prop]; ring #align pell.solution₁.prop_x Pell.Solution₁.prop_x theorem prop_y (a : Solution₁ d) : d * a.y ^ 2 = a.x ^ 2 - 1 := by rw [← a.prop]; ring #align pell.solution₁.prop_y Pell.Solution₁.prop_y @[ext] theorem ext {a b : Solution₁ d} (hx : a.x = b.x) (hy : a.y = b.y) : a = b := Subtype.ext <| Zsqrtd.ext _ _ hx hy #align pell.solution₁.ext Pell.Solution₁.ext def mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : Solution₁ d where val := ⟨x, y⟩ property := is_pell_solution_iff_mem_unitary.mp prop #align pell.solution₁.mk Pell.Solution₁.mk @[simp] theorem x_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (mk x y prop).x = x := rfl #align pell.solution₁.x_mk Pell.Solution₁.x_mk @[simp] theorem y_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (mk x y prop).y = y := rfl #align pell.solution₁.y_mk Pell.Solution₁.y_mk @[simp] theorem coe_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (↑(mk x y prop) : ℤ√d) = ⟨x, y⟩ := Zsqrtd.ext _ _ (x_mk x y prop) (y_mk x y prop) #align pell.solution₁.coe_mk Pell.Solution₁.coe_mk @[simp] theorem x_one : (1 : Solution₁ d).x = 1 := rfl #align pell.solution₁.x_one Pell.Solution₁.x_one @[simp] theorem y_one : (1 : Solution₁ d).y = 0 := rfl #align pell.solution₁.y_one Pell.Solution₁.y_one @[simp] theorem x_mul (a b : Solution₁ d) : (a * b).x = a.x * b.x + d * (a.y * b.y) := by rw [← mul_assoc] rfl #align pell.solution₁.x_mul Pell.Solution₁.x_mul @[simp] theorem y_mul (a b : Solution₁ d) : (a * b).y = a.x * b.y + a.y * b.x := rfl #align pell.solution₁.y_mul Pell.Solution₁.y_mul @[simp] theorem x_inv (a : Solution₁ d) : a⁻¹.x = a.x := rfl #align pell.solution₁.x_inv Pell.Solution₁.x_inv @[simp] theorem y_inv (a : Solution₁ d) : a⁻¹.y = -a.y := rfl #align pell.solution₁.y_inv Pell.Solution₁.y_inv @[simp] theorem x_neg (a : Solution₁ d) : (-a).x = -a.x := rfl #align pell.solution₁.x_neg Pell.Solution₁.x_neg @[simp] theorem y_neg (a : Solution₁ d) : (-a).y = -a.y := rfl #align pell.solution₁.y_neg Pell.Solution₁.y_neg theorem eq_zero_of_d_neg (h₀ : d < 0) (a : Solution₁ d) : a.x = 0 ∨ a.y = 0 := by have h := a.prop contrapose! h have h1 := sq_pos_of_ne_zero h.1 have h2 := sq_pos_of_ne_zero h.2 nlinarith #align pell.solution₁.eq_zero_of_d_neg Pell.Solution₁.eq_zero_of_d_neg theorem x_ne_zero (h₀ : 0 ≤ d) (a : Solution₁ d) : a.x ≠ 0 := by intro hx have h : 0 ≤ d * a.y ^ 2 := mul_nonneg h₀ (sq_nonneg _) rw [a.prop_y, hx, sq, zero_mul, zero_sub] at h exact not_le.mpr (neg_one_lt_zero : (-1 : ℤ) < 0) h #align pell.solution₁.x_ne_zero Pell.Solution₁.x_ne_zero theorem y_ne_zero_of_one_lt_x {a : Solution₁ d} (ha : 1 < a.x) : a.y ≠ 0 := by intro hy have prop := a.prop rw [hy, sq (0 : ℤ), zero_mul, mul_zero, sub_zero] at prop exact lt_irrefl _ (((one_lt_sq_iff <| zero_le_one.trans ha.le).mpr ha).trans_eq prop) #align pell.solution₁.y_ne_zero_of_one_lt_x Pell.Solution₁.y_ne_zero_of_one_lt_x theorem d_pos_of_one_lt_x {a : Solution₁ d} (ha : 1 < a.x) : 0 < d := by refine pos_of_mul_pos_left ?_ (sq_nonneg a.y) rw [a.prop_y, sub_pos] exact one_lt_pow ha two_ne_zero #align pell.solution₁.d_pos_of_one_lt_x Pell.Solution₁.d_pos_of_one_lt_x
Mathlib/NumberTheory/Pell.lean
241
245
theorem d_nonsquare_of_one_lt_x {a : Solution₁ d} (ha : 1 < a.x) : ¬IsSquare d := by
have hp := a.prop rintro ⟨b, rfl⟩ simp_rw [← sq, ← mul_pow, sq_sub_sq, Int.mul_eq_one_iff_eq_one_or_neg_one] at hp rcases hp with (⟨hp₁, hp₂⟩ | ⟨hp₁, hp₂⟩) <;> omega
import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Ideal.Over import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.jacobson from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" set_option autoImplicit true universe u namespace Ideal open Polynomial open Polynomial namespace Polynomial open Polynomial section CommRing -- Porting note: move to better place -- Porting note: make `S` and `T` universe polymorphic lemma Subring.mem_closure_image_of {S T : Type*} [CommRing S] [CommRing T] (g : S →+* T) (u : Set S) (x : S) (hx : x ∈ Subring.closure u) : g x ∈ Subring.closure (g '' u) := by rw [Subring.mem_closure] at hx ⊢ intro T₁ h₁ rw [← Subring.mem_comap] apply hx simp only [Subring.coe_comap, ← Set.image_subset_iff, SetLike.mem_coe] exact h₁ -- Porting note: move to better place lemma mem_closure_X_union_C {R : Type*} [Ring R] (p : R[X]) : p ∈ Subring.closure (insert X {f | f.degree ≤ 0} : Set R[X]) := by refine Polynomial.induction_on p ?_ ?_ ?_ · intro r apply Subring.subset_closure apply Set.mem_insert_of_mem exact degree_C_le · intros p1 p2 h1 h2 exact Subring.add_mem _ h1 h2 · intros n r hr rw [pow_succ, ← mul_assoc] apply Subring.mul_mem _ hr apply Subring.subset_closure apply Set.mem_insert variable {R S : Type*} [CommRing R] [CommRing S] [IsDomain S] variable {Rₘ Sₘ : Type*} [CommRing Rₘ] [CommRing Sₘ]
Mathlib/RingTheory/Jacobson.lean
303
355
theorem isIntegral_isLocalization_polynomial_quotient (P : Ideal R[X]) (pX : R[X]) (hpX : pX ∈ P) [Algebra (R ⧸ P.comap (C : R →+* R[X])) Rₘ] [IsLocalization.Away (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff Rₘ] [Algebra (R[X] ⧸ P) Sₘ] [IsLocalization ((Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff).map (quotientMap P C le_rfl) : Submonoid (R[X] ⧸ P)) Sₘ] : (IsLocalization.map Sₘ (quotientMap P C le_rfl) (Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff).le_comap_map : Rₘ →+* Sₘ).IsIntegral := by
let P' : Ideal R := P.comap C let M : Submonoid (R ⧸ P') := Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff let M' : Submonoid (R[X] ⧸ P) := (Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff).map (quotientMap P C le_rfl) let φ : R ⧸ P' →+* R[X] ⧸ P := quotientMap P C le_rfl let φ' : Rₘ →+* Sₘ := IsLocalization.map Sₘ φ M.le_comap_map have hφ' : φ.comp (Quotient.mk P') = (Quotient.mk P).comp C := rfl intro p obtain ⟨⟨p', ⟨q, hq⟩⟩, hp⟩ := IsLocalization.surj M' p suffices φ'.IsIntegralElem (algebraMap (R[X] ⧸ P) Sₘ p') by obtain ⟨q', hq', rfl⟩ := hq obtain ⟨q'', hq''⟩ := isUnit_iff_exists_inv'.1 (IsLocalization.map_units Rₘ (⟨q', hq'⟩ : M)) refine (hp.symm ▸ this).of_mul_unit φ' p (algebraMap (R[X] ⧸ P) Sₘ (φ q')) q'' ?_ rw [← φ'.map_one, ← congr_arg φ' hq'', φ'.map_mul, ← φ'.comp_apply] simp only [IsLocalization.map_comp _] rw [RingHom.comp_apply] dsimp at hp refine @IsIntegral.of_mem_closure'' Rₘ _ Sₘ _ φ' ((algebraMap (R[X] ⧸ P) Sₘ).comp (Quotient.mk P) '' insert X { p | p.degree ≤ 0 }) ?_ ((algebraMap (R[X] ⧸ P) Sₘ) p') ?_ · rintro x ⟨p, hp, rfl⟩ simp only [Set.mem_insert_iff] at hp cases' hp with hy hy · rw [hy] refine φ.isIntegralElem_localization_at_leadingCoeff ((Quotient.mk P) X) (pX.map (Quotient.mk P')) ?_ M ?_ · rwa [eval₂_map, hφ', ← hom_eval₂, Quotient.eq_zero_iff_mem, eval₂_C_X] · use 1 simp only [pow_one] · rw [Set.mem_setOf_eq, degree_le_zero_iff] at hy -- Porting note: was `refine' hy.symm ▸` -- `⟨X - C (algebraMap _ _ ((Quotient.mk P') (p.coeff 0))), monic_X_sub_C _, _⟩` rw [hy] use X - C (algebraMap (R ⧸ P') Rₘ ((Quotient.mk P') (p.coeff 0))) constructor · apply monic_X_sub_C · simp only [eval₂_sub, eval₂_X, eval₂_C] rw [sub_eq_zero, ← φ'.comp_apply] simp only [IsLocalization.map_comp _] rfl · obtain ⟨p, rfl⟩ := Quotient.mk_surjective p' rw [← RingHom.comp_apply] apply Subring.mem_closure_image_of apply Polynomial.mem_closure_X_union_C
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2)) theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
83
87
theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h
import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Data.Nat.Fib.Basic import Mathlib.Tactic.Monotonicity #align_import algebra.continued_fractions.computation.approximations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) open Int variable {K : Type*} {v : K} {n : ℕ} [LinearOrderedField K] [FloorRing K] namespace IntFractPair
Mathlib/Algebra/ContinuedFractions/Computation/Approximations.lean
70
80
theorem nth_stream_fr_nonneg_lt_one {ifp_n : IntFractPair K} (nth_stream_eq : IntFractPair.stream v n = some ifp_n) : 0 ≤ ifp_n.fr ∧ ifp_n.fr < 1 := by
cases n with | zero => have : IntFractPair.of v = ifp_n := by injection nth_stream_eq rw [← this, IntFractPair.of] exact ⟨fract_nonneg _, fract_lt_one _⟩ | succ => rcases succ_nth_stream_eq_some_iff.1 nth_stream_eq with ⟨_, _, _, ifp_of_eq_ifp_n⟩ rw [← ifp_of_eq_ifp_n, IntFractPair.of] exact ⟨fract_nonneg _, fract_lt_one _⟩
import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Combinatorics.SimpleGraph.Maps #align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b" universe u v namespace SimpleGraph @[ext] structure Subgraph {V : Type u} (G : SimpleGraph V) where verts : Set V Adj : V → V → Prop adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously` #align simple_graph.subgraph SimpleGraph.Subgraph initialize_simps_projections SimpleGraph.Subgraph (Adj → adj) variable {ι : Sort*} {V : Type u} {W : Type v} @[simps] protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where verts := {v} Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm _ _ := False.elim #align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph @[simps] def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where verts := {v, w} Adj a b := s(v, w) = s(a, b) adj_sub h := by rw [← G.mem_edgeSet, ← h] exact hvw edge_vert {a b} h := by apply_fun fun e ↦ a ∈ e at h simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h exact h #align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj namespace Subgraph variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V} protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj := fun v h ↦ G.loopless v (G'.adj_sub h) #align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v := ⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩ #align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm @[symm] theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v := H.adj_sub h #align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts := H.edge_vert h #align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts := h.symm.fst_mem #align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v := h.adj_sub.ne #align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne @[simps] protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where Adj v w := G'.Adj v w symm _ _ h := G'.symm h loopless v h := loopless G v (G'.adj_sub h) #align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe @[simp] theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub -- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`. protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) : H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h #align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe def IsSpanning (G' : Subgraph G) : Prop := ∀ v : V, v ∈ G'.verts #align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ := Set.eq_univ_iff_forall.symm #align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff @[simps] protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where Adj := G'.Adj symm := G'.symm loopless v hv := G.loopless v (G'.adj_sub hv) #align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe @[simp] theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by simp [Subgraph.spanningCoe] #align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj @[simps] def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) : G'.spanningCoe ≃g G'.coe where toFun v := ⟨v, h v⟩ invFun v := v left_inv _ := rfl right_inv _ := rfl map_rel_iff' := Iff.rfl #align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning def IsInduced (G' : Subgraph G) : Prop := ∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w #align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced def support (H : Subgraph G) : Set V := Rel.dom H.Adj #align simple_graph.subgraph.support SimpleGraph.Subgraph.support theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts := fun _ ⟨_, h⟩ ↦ H.edge_vert h #align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w} #align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v := fun _ ↦ G'.adj_sub #align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts := fun _ h ↦ G'.edge_vert (adj_symm G' h) #align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts @[simp] theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) : G'.coe.neighborSet v ≃ G'.neighborSet v where toFun w := ⟨w, w.2⟩ invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩ left_inv _ := rfl right_inv _ := rfl #align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm #align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet := Sym2.ind (fun _ _ ↦ G'.adj_sub) #align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset @[simp] theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet) (hv : v ∈ e) : v ∈ G'.verts := by revert hv refine Sym2.ind (fun v w he ↦ ?_) e he intro hv rcases Sym2.mem_iff.mp hv with (rfl | rfl) · exact G'.edge_vert he · exact G'.edge_vert (G'.symm he) #align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e} #align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G.incidenceSet v := fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩ #align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet := fun _ h ↦ h.1 #align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩ #align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where verts := V'' Adj := adj' adj_sub := hadj.symm ▸ G'.adj_sub edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert symm := hadj.symm ▸ G'.symm #align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' := Subgraph.ext _ _ hV hadj #align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq instance : Sup G.Subgraph where sup G₁ G₂ := { verts := G₁.verts ∪ G₂.verts Adj := G₁.Adj ⊔ G₂.Adj adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm } instance : Inf G.Subgraph where inf G₁ G₂ := { verts := G₁.verts ∩ G₂.verts Adj := G₁.Adj ⊓ G₂.Adj adj_sub := fun hab => G₁.adj_sub hab.1 edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm } instance : Top G.Subgraph where top := { verts := Set.univ Adj := G.Adj adj_sub := id edge_vert := @fun v _ _ => Set.mem_univ v symm := G.symm } instance : Bot G.Subgraph where bot := { verts := ∅ Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm := fun _ _ => id } instance : SupSet G.Subgraph where sSup s := { verts := ⋃ G' ∈ s, verts G' Adj := fun a b => ∃ G' ∈ s, Adj G' a b adj_sub := by rintro a b ⟨G', -, hab⟩ exact G'.adj_sub hab edge_vert := by rintro a b ⟨G', hG', hab⟩ exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab) symm := fun a b h => by simpa [adj_comm] using h } instance : InfSet G.Subgraph where sInf s := { verts := ⋂ G' ∈ s, verts G' Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b adj_sub := And.right edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG' symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm } @[simp] theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj @[simp] theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj @[simp] theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b := Iff.rfl #align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj @[simp] theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b := not_false #align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj @[simp] theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts := rfl #align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup @[simp] theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts := rfl #align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf @[simp] theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ := rfl #align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top @[simp] theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ := rfl #align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot @[simp] theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b := Iff.rfl #align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj @[simp] theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b := Iff.rfl #align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj @[simp] theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup] #align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj @[simp] theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by simp [iInf] #align simple_graph.subgraph.infi_adj SimpleGraph.Subgraph.iInf_adj theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) : (sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b := sInf_adj.trans <| and_iff_left_of_imp <| by obtain ⟨G', hG'⟩ := hs exact fun h => G'.adj_sub (h _ hG') #align simple_graph.subgraph.Inf_adj_of_nonempty SimpleGraph.Subgraph.sInf_adj_of_nonempty theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)] simp #align simple_graph.subgraph.infi_adj_of_nonempty SimpleGraph.Subgraph.iInf_adj_of_nonempty @[simp] theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' := rfl #align simple_graph.subgraph.verts_Sup SimpleGraph.Subgraph.verts_sSup @[simp] theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' := rfl #align simple_graph.subgraph.verts_Inf SimpleGraph.Subgraph.verts_sInf @[simp] theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup] #align simple_graph.subgraph.verts_supr SimpleGraph.Subgraph.verts_iSup @[simp] theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf] #align simple_graph.subgraph.verts_infi SimpleGraph.Subgraph.verts_iInf theorem verts_spanningCoe_injective : (fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by intro G₁ G₂ h rw [Prod.ext_iff] at h exact Subgraph.ext _ _ h.1 (spanningCoe_inj.1 h.2) instance distribLattice : DistribLattice G.Subgraph := { show DistribLattice G.Subgraph from verts_spanningCoe_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl with le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w } instance : BoundedOrder (Subgraph G) where top := ⊤ bot := ⊥ le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩ bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩ -- Note that subgraphs do not form a Boolean algebra, because of `verts`. instance : CompletelyDistribLattice G.Subgraph := { Subgraph.distribLattice with le := (· ≤ ·) sup := (· ⊔ ·) inf := (· ⊓ ·) top := ⊤ bot := ⊥ le_top := fun G' => ⟨Set.subset_univ _, fun a b => G'.adj_sub⟩ bot_le := fun G' => ⟨Set.empty_subset _, fun a b => False.elim⟩ sSup := sSup -- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine. le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun a b hab => ⟨G', hG', hab⟩⟩ sSup_le := fun s G' hG' => ⟨Set.iUnion₂_subset fun H hH => (hG' _ hH).1, by rintro a b ⟨H, hH, hab⟩ exact (hG' _ hH).2 hab⟩ sInf := sInf sInf_le := fun s G' hG' => ⟨Set.iInter₂_subset G' hG', fun a b hab => hab.1 hG'⟩ le_sInf := fun s G' hG' => ⟨Set.subset_iInter₂ fun H hH => (hG' _ hH).1, fun a b hab => ⟨fun H hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩ iInf_iSup_eq := fun f => Subgraph.ext _ _ (by simpa using iInf_iSup_eq) (by ext; simp [Classical.skolem]) } @[simps] instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩ #align simple_graph.subgraph.subgraph_inhabited SimpleGraph.Subgraph.subgraphInhabited @[simp] theorem neighborSet_sup {H H' : G.Subgraph} (v : V) : (H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_sup SimpleGraph.Subgraph.neighborSet_sup @[simp] theorem neighborSet_inf {H H' : G.Subgraph} (v : V) : (H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_inf SimpleGraph.Subgraph.neighborSet_inf @[simp] theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_top SimpleGraph.Subgraph.neighborSet_top @[simp] theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl #align simple_graph.subgraph.neighbor_set_bot SimpleGraph.Subgraph.neighborSet_bot @[simp] theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) : (sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by ext simp #align simple_graph.subgraph.neighbor_set_Sup SimpleGraph.Subgraph.neighborSet_sSup @[simp] theorem neighborSet_sInf (s : Set G.Subgraph) (v : V) : (sInf s).neighborSet v = (⋂ G' ∈ s, neighborSet G' v) ∩ G.neighborSet v := by ext simp #align simple_graph.subgraph.neighbor_set_Inf SimpleGraph.Subgraph.neighborSet_sInf @[simp] theorem neighborSet_iSup (f : ι → G.Subgraph) (v : V) : (⨆ i, f i).neighborSet v = ⋃ i, (f i).neighborSet v := by simp [iSup] #align simple_graph.subgraph.neighbor_set_supr SimpleGraph.Subgraph.neighborSet_iSup @[simp] theorem neighborSet_iInf (f : ι → G.Subgraph) (v : V) : (⨅ i, f i).neighborSet v = (⋂ i, (f i).neighborSet v) ∩ G.neighborSet v := by simp [iInf] #align simple_graph.subgraph.neighbor_set_infi SimpleGraph.Subgraph.neighborSet_iInf @[simp] theorem edgeSet_top : (⊤ : Subgraph G).edgeSet = G.edgeSet := rfl #align simple_graph.subgraph.edge_set_top SimpleGraph.Subgraph.edgeSet_top @[simp] theorem edgeSet_bot : (⊥ : Subgraph G).edgeSet = ∅ := Set.ext <| Sym2.ind (by simp) #align simple_graph.subgraph.edge_set_bot SimpleGraph.Subgraph.edgeSet_bot @[simp] theorem edgeSet_inf {H₁ H₂ : Subgraph G} : (H₁ ⊓ H₂).edgeSet = H₁.edgeSet ∩ H₂.edgeSet := Set.ext <| Sym2.ind (by simp) #align simple_graph.subgraph.edge_set_inf SimpleGraph.Subgraph.edgeSet_inf @[simp] theorem edgeSet_sup {H₁ H₂ : Subgraph G} : (H₁ ⊔ H₂).edgeSet = H₁.edgeSet ∪ H₂.edgeSet := Set.ext <| Sym2.ind (by simp) #align simple_graph.subgraph.edge_set_sup SimpleGraph.Subgraph.edgeSet_sup @[simp] theorem edgeSet_sSup (s : Set G.Subgraph) : (sSup s).edgeSet = ⋃ G' ∈ s, edgeSet G' := by ext e induction e using Sym2.ind simp #align simple_graph.subgraph.edge_set_Sup SimpleGraph.Subgraph.edgeSet_sSup @[simp] theorem edgeSet_sInf (s : Set G.Subgraph) : (sInf s).edgeSet = (⋂ G' ∈ s, edgeSet G') ∩ G.edgeSet := by ext e induction e using Sym2.ind simp #align simple_graph.subgraph.edge_set_Inf SimpleGraph.Subgraph.edgeSet_sInf @[simp] theorem edgeSet_iSup (f : ι → G.Subgraph) : (⨆ i, f i).edgeSet = ⋃ i, (f i).edgeSet := by simp [iSup] #align simple_graph.subgraph.edge_set_supr SimpleGraph.Subgraph.edgeSet_iSup @[simp] theorem edgeSet_iInf (f : ι → G.Subgraph) : (⨅ i, f i).edgeSet = (⋂ i, (f i).edgeSet) ∩ G.edgeSet := by simp [iInf] #align simple_graph.subgraph.edge_set_infi SimpleGraph.Subgraph.edgeSet_iInf @[simp] theorem spanningCoe_top : (⊤ : Subgraph G).spanningCoe = G := rfl #align simple_graph.subgraph.spanning_coe_top SimpleGraph.Subgraph.spanningCoe_top @[simp] theorem spanningCoe_bot : (⊥ : Subgraph G).spanningCoe = ⊥ := rfl #align simple_graph.subgraph.spanning_coe_bot SimpleGraph.Subgraph.spanningCoe_bot @[simps] def _root_.SimpleGraph.toSubgraph (H : SimpleGraph V) (h : H ≤ G) : G.Subgraph where verts := Set.univ Adj := H.Adj adj_sub e := h e edge_vert _ := Set.mem_univ _ symm := H.symm #align simple_graph.to_subgraph SimpleGraph.toSubgraph theorem support_mono {H H' : Subgraph G} (h : H ≤ H') : H.support ⊆ H'.support := Rel.dom_mono h.2 #align simple_graph.subgraph.support_mono SimpleGraph.Subgraph.support_mono theorem _root_.SimpleGraph.toSubgraph.isSpanning (H : SimpleGraph V) (h : H ≤ G) : (toSubgraph H h).IsSpanning := Set.mem_univ #align simple_graph.to_subgraph.is_spanning SimpleGraph.toSubgraph.isSpanning theorem spanningCoe_le_of_le {H H' : Subgraph G} (h : H ≤ H') : H.spanningCoe ≤ H'.spanningCoe := h.2 #align simple_graph.subgraph.spanning_coe_le_of_le SimpleGraph.Subgraph.spanningCoe_le_of_le def topEquiv : (⊤ : Subgraph G).coe ≃g G where toFun v := ↑v invFun v := ⟨v, trivial⟩ left_inv _ := rfl right_inv _ := rfl map_rel_iff' := Iff.rfl #align simple_graph.subgraph.top_equiv SimpleGraph.Subgraph.topEquiv def botEquiv : (⊥ : Subgraph G).coe ≃g (⊥ : SimpleGraph Empty) where toFun v := v.property.elim invFun v := v.elim left_inv := fun ⟨_, h⟩ ↦ h.elim right_inv v := v.elim map_rel_iff' := Iff.rfl #align simple_graph.subgraph.bot_equiv SimpleGraph.Subgraph.botEquiv theorem edgeSet_mono {H₁ H₂ : Subgraph G} (h : H₁ ≤ H₂) : H₁.edgeSet ≤ H₂.edgeSet := Sym2.ind h.2 #align simple_graph.subgraph.edge_set_mono SimpleGraph.Subgraph.edgeSet_mono theorem _root_.Disjoint.edgeSet {H₁ H₂ : Subgraph G} (h : Disjoint H₁ H₂) : Disjoint H₁.edgeSet H₂.edgeSet := disjoint_iff_inf_le.mpr <| by simpa using edgeSet_mono h.le_bot #align disjoint.edge_set Disjoint.edgeSet @[simps] protected def map {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) : G'.Subgraph where verts := f '' H.verts Adj := Relation.Map H.Adj f f adj_sub := by rintro _ _ ⟨u, v, h, rfl, rfl⟩ exact f.map_rel (H.adj_sub h) edge_vert := by rintro _ _ ⟨u, v, h, rfl, rfl⟩ exact Set.mem_image_of_mem _ (H.edge_vert h) symm := by rintro _ _ ⟨u, v, h, rfl, rfl⟩ exact ⟨v, u, H.symm h, rfl, rfl⟩ #align simple_graph.subgraph.map SimpleGraph.Subgraph.map theorem map_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.map f) := by intro H H' h constructor · intro simp only [map_verts, Set.mem_image, forall_exists_index, and_imp] rintro v hv rfl exact ⟨_, h.1 hv, rfl⟩ · rintro _ _ ⟨u, v, ha, rfl, rfl⟩ exact ⟨_, _, h.2 ha, rfl, rfl⟩ #align simple_graph.subgraph.map_monotone SimpleGraph.Subgraph.map_monotone theorem map_sup {G : SimpleGraph V} {G' : SimpleGraph W} (f : G →g G') {H H' : G.Subgraph} : (H ⊔ H').map f = H.map f ⊔ H'.map f := by ext1 · simp only [Set.image_union, map_verts, verts_sup] · ext simp only [Relation.Map, map_adj, sup_adj] constructor · rintro ⟨a, b, h | h, rfl, rfl⟩ · exact Or.inl ⟨_, _, h, rfl, rfl⟩ · exact Or.inr ⟨_, _, h, rfl, rfl⟩ · rintro (⟨a, b, h, rfl, rfl⟩ | ⟨a, b, h, rfl, rfl⟩) · exact ⟨_, _, Or.inl h, rfl, rfl⟩ · exact ⟨_, _, Or.inr h, rfl, rfl⟩ #align simple_graph.subgraph.map_sup SimpleGraph.Subgraph.map_sup @[simps] protected def comap {G' : SimpleGraph W} (f : G →g G') (H : G'.Subgraph) : G.Subgraph where verts := f ⁻¹' H.verts Adj u v := G.Adj u v ∧ H.Adj (f u) (f v) adj_sub h := h.1 edge_vert h := Set.mem_preimage.1 (H.edge_vert h.2) symm _ _ h := ⟨G.symm h.1, H.symm h.2⟩ #align simple_graph.subgraph.comap SimpleGraph.Subgraph.comap theorem comap_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.comap f) := by intro H H' h constructor · intro simp only [comap_verts, Set.mem_preimage] apply h.1 · intro v w simp (config := { contextual := true }) only [comap_adj, and_imp, true_and_iff] intro apply h.2 #align simple_graph.subgraph.comap_monotone SimpleGraph.Subgraph.comap_monotone theorem map_le_iff_le_comap {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) (H' : G'.Subgraph) : H.map f ≤ H' ↔ H ≤ H'.comap f := by refine ⟨fun h ↦ ⟨fun v hv ↦ ?_, fun v w hvw ↦ ?_⟩, fun h ↦ ⟨fun v ↦ ?_, fun v w ↦ ?_⟩⟩ · simp only [comap_verts, Set.mem_preimage] exact h.1 ⟨v, hv, rfl⟩ · simp only [H.adj_sub hvw, comap_adj, true_and_iff] exact h.2 ⟨v, w, hvw, rfl, rfl⟩ · simp only [map_verts, Set.mem_image, forall_exists_index, and_imp] rintro w hw rfl exact h.1 hw · simp only [Relation.Map, map_adj, forall_exists_index, and_imp] rintro u u' hu rfl rfl exact (h.2 hu).2 #align simple_graph.subgraph.map_le_iff_le_comap SimpleGraph.Subgraph.map_le_iff_le_comap @[simps] def inclusion {x y : Subgraph G} (h : x ≤ y) : x.coe →g y.coe where toFun v := ⟨↑v, And.left h v.property⟩ map_rel' hvw := h.2 hvw #align simple_graph.subgraph.inclusion SimpleGraph.Subgraph.inclusion theorem inclusion.injective {x y : Subgraph G} (h : x ≤ y) : Function.Injective (inclusion h) := by intro v w h rw [inclusion, DFunLike.coe, Subtype.mk_eq_mk] at h exact Subtype.ext h #align simple_graph.subgraph.inclusion.injective SimpleGraph.Subgraph.inclusion.injective @[simps] protected def hom (x : Subgraph G) : x.coe →g G where toFun v := v map_rel' := x.adj_sub #align simple_graph.subgraph.hom SimpleGraph.Subgraph.hom @[simp] lemma coe_hom (x : Subgraph G) : (x.hom : x.verts → V) = (fun (v : x.verts) => (v : V)) := rfl theorem hom.injective {x : Subgraph G} : Function.Injective x.hom := fun _ _ ↦ Subtype.ext #align simple_graph.subgraph.hom.injective SimpleGraph.Subgraph.hom.injective @[simps] def spanningHom (x : Subgraph G) : x.spanningCoe →g G where toFun := id map_rel' := x.adj_sub #align simple_graph.subgraph.spanning_hom SimpleGraph.Subgraph.spanningHom theorem spanningHom.injective {x : Subgraph G} : Function.Injective x.spanningHom := fun _ _ ↦ id #align simple_graph.subgraph.spanning_hom.injective SimpleGraph.Subgraph.spanningHom.injective theorem neighborSet_subset_of_subgraph {x y : Subgraph G} (h : x ≤ y) (v : V) : x.neighborSet v ⊆ y.neighborSet v := fun _ h' ↦ h.2 h' #align simple_graph.subgraph.neighbor_set_subset_of_subgraph SimpleGraph.Subgraph.neighborSet_subset_of_subgraph instance neighborSet.decidablePred (G' : Subgraph G) [h : DecidableRel G'.Adj] (v : V) : DecidablePred (· ∈ G'.neighborSet v) := h v #align simple_graph.subgraph.neighbor_set.decidable_pred SimpleGraph.Subgraph.neighborSet.decidablePred instance finiteAt {G' : Subgraph G} (v : G'.verts) [DecidableRel G'.Adj] [Fintype (G.neighborSet v)] : Fintype (G'.neighborSet v) := Set.fintypeSubset (G.neighborSet v) (G'.neighborSet_subset v) #align simple_graph.subgraph.finite_at SimpleGraph.Subgraph.finiteAt def finiteAtOfSubgraph {G' G'' : Subgraph G} [DecidableRel G'.Adj] (h : G' ≤ G'') (v : G'.verts) [Fintype (G''.neighborSet v)] : Fintype (G'.neighborSet v) := Set.fintypeSubset (G''.neighborSet v) (neighborSet_subset_of_subgraph h v) #align simple_graph.subgraph.finite_at_of_subgraph SimpleGraph.Subgraph.finiteAtOfSubgraph instance (G' : Subgraph G) [Fintype G'.verts] (v : V) [DecidablePred (· ∈ G'.neighborSet v)] : Fintype (G'.neighborSet v) := Set.fintypeSubset G'.verts (neighborSet_subset_verts G' v) instance coeFiniteAt {G' : Subgraph G} (v : G'.verts) [Fintype (G'.neighborSet v)] : Fintype (G'.coe.neighborSet v) := Fintype.ofEquiv _ (coeNeighborSetEquiv v).symm #align simple_graph.subgraph.coe_finite_at SimpleGraph.Subgraph.coeFiniteAt theorem IsSpanning.card_verts [Fintype V] {G' : Subgraph G} [Fintype G'.verts] (h : G'.IsSpanning) : G'.verts.toFinset.card = Fintype.card V := by simp only [isSpanning_iff.1 h, Set.toFinset_univ] congr #align simple_graph.subgraph.is_spanning.card_verts SimpleGraph.Subgraph.IsSpanning.card_verts def degree (G' : Subgraph G) (v : V) [Fintype (G'.neighborSet v)] : ℕ := Fintype.card (G'.neighborSet v) #align simple_graph.subgraph.degree SimpleGraph.Subgraph.degree
Mathlib/Combinatorics/SimpleGraph/Subgraph.lean
797
799
theorem finset_card_neighborSet_eq_degree {G' : Subgraph G} {v : V} [Fintype (G'.neighborSet v)] : (G'.neighborSet v).toFinset.card = G'.degree v := by
rw [degree, Set.toFinset_card]
import Mathlib.Analysis.Complex.AbsMax import Mathlib.Analysis.Asymptotics.SuperpolynomialDecay #align_import analysis.complex.phragmen_lindelof from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Function Filter Asymptotics Metric Complex Bornology open scoped Topology Filter Real local notation "expR" => Real.exp namespace PhragmenLindelof variable {E : Type*} [NormedAddCommGroup E] theorem isBigO_sub_exp_exp {a : ℝ} {f g : ℂ → E} {l : Filter ℂ} {u : ℂ → ℝ} (hBf : ∃ c < a, ∃ B, f =O[l] fun z => expR (B * expR (c * |u z|))) (hBg : ∃ c < a, ∃ B, g =O[l] fun z => expR (B * expR (c * |u z|))) : ∃ c < a, ∃ B, (f - g) =O[l] fun z => expR (B * expR (c * |u z|)) := by have : ∀ {c₁ c₂ B₁ B₂}, c₁ ≤ c₂ → 0 ≤ B₂ → B₁ ≤ B₂ → ∀ z, ‖expR (B₁ * expR (c₁ * |u z|))‖ ≤ ‖expR (B₂ * expR (c₂ * |u z|))‖ := fun hc hB₀ hB z ↦ by simp only [Real.norm_eq_abs, Real.abs_exp]; gcongr rcases hBf with ⟨cf, hcf, Bf, hOf⟩; rcases hBg with ⟨cg, hcg, Bg, hOg⟩ refine ⟨max cf cg, max_lt hcf hcg, max 0 (max Bf Bg), ?_⟩ refine (hOf.trans_le <| this ?_ ?_ ?_).sub (hOg.trans_le <| this ?_ ?_ ?_) exacts [le_max_left _ _, le_max_left _ _, (le_max_left _ _).trans (le_max_right _ _), le_max_right _ _, le_max_left _ _, (le_max_right _ _).trans (le_max_right _ _)] set_option linter.uppercaseLean3 false in #align phragmen_lindelof.is_O_sub_exp_exp PhragmenLindelof.isBigO_sub_exp_exp theorem isBigO_sub_exp_rpow {a : ℝ} {f g : ℂ → E} {l : Filter ℂ} (hBf : ∃ c < a, ∃ B, f =O[cobounded ℂ ⊓ l] fun z => expR (B * abs z ^ c)) (hBg : ∃ c < a, ∃ B, g =O[cobounded ℂ ⊓ l] fun z => expR (B * abs z ^ c)) : ∃ c < a, ∃ B, (f - g) =O[cobounded ℂ ⊓ l] fun z => expR (B * abs z ^ c) := by have : ∀ {c₁ c₂ B₁ B₂ : ℝ}, c₁ ≤ c₂ → 0 ≤ B₂ → B₁ ≤ B₂ → (fun z : ℂ => expR (B₁ * abs z ^ c₁)) =O[cobounded ℂ ⊓ l] fun z => expR (B₂ * abs z ^ c₂) := fun hc hB₀ hB ↦ .of_bound 1 <| by filter_upwards [(eventually_cobounded_le_norm 1).filter_mono inf_le_left] with z hz simp only [one_mul, Real.norm_eq_abs, Real.abs_exp] gcongr; assumption rcases hBf with ⟨cf, hcf, Bf, hOf⟩; rcases hBg with ⟨cg, hcg, Bg, hOg⟩ refine ⟨max cf cg, max_lt hcf hcg, max 0 (max Bf Bg), ?_⟩ refine (hOf.trans <| this ?_ ?_ ?_).sub (hOg.trans <| this ?_ ?_ ?_) exacts [le_max_left _ _, le_max_left _ _, (le_max_left _ _).trans (le_max_right _ _), le_max_right _ _, le_max_left _ _, (le_max_right _ _).trans (le_max_right _ _)] set_option linter.uppercaseLean3 false in #align phragmen_lindelof.is_O_sub_exp_rpow PhragmenLindelof.isBigO_sub_exp_rpow variable [NormedSpace ℂ E] {a b C : ℝ} {f g : ℂ → E} {z : ℂ} theorem horizontal_strip (hfd : DiffContOnCl ℂ f (im ⁻¹' Ioo a b)) (hB : ∃ c < π / (b - a), ∃ B, f =O[comap (_root_.abs ∘ re) atTop ⊓ 𝓟 (im ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.re|))) (hle_a : ∀ z : ℂ, im z = a → ‖f z‖ ≤ C) (hle_b : ∀ z, im z = b → ‖f z‖ ≤ C) (hza : a ≤ im z) (hzb : im z ≤ b) : ‖f z‖ ≤ C := by -- If `im z = a` or `im z = b`, then we apply `hle_a` or `hle_b`, otherwise `im z ∈ Ioo a b`. rw [le_iff_eq_or_lt] at hza hzb cases' hza with hza hza; · exact hle_a _ hza.symm cases' hzb with hzb hzb; · exact hle_b _ hzb wlog hC₀ : 0 < C generalizing C · refine le_of_forall_le_of_dense fun C' hC' => this (fun w hw => ?_) (fun w hw => ?_) ?_ · exact (hle_a _ hw).trans hC'.le · exact (hle_b _ hw).trans hC'.le · refine ((norm_nonneg (f (a * I))).trans (hle_a _ ?_)).trans_lt hC' rw [mul_I_im, ofReal_re] -- After a change of variables, we deal with the strip `a - b < im z < a + b` instead -- of `a < im z < b` obtain ⟨a, b, rfl, rfl⟩ : ∃ a' b', a = a' - b' ∧ b = a' + b' := ⟨(a + b) / 2, (b - a) / 2, by ring, by ring⟩ have hab : a - b < a + b := hza.trans hzb have hb : 0 < b := by simpa only [sub_eq_add_neg, add_lt_add_iff_left, neg_lt_self_iff] using hab rw [add_sub_sub_cancel, ← two_mul, div_mul_eq_div_div] at hB have hπb : 0 < π / 2 / b := div_pos Real.pi_div_two_pos hb -- Choose some `c B : ℝ` satisfying `hB`, then choose `max c 0 < d < π / 2 / b`. rcases hB with ⟨c, hc, B, hO⟩ obtain ⟨d, ⟨hcd, hd₀⟩, hd⟩ : ∃ d, (c < d ∧ 0 < d) ∧ d < π / 2 / b := by simpa only [max_lt_iff] using exists_between (max_lt hc hπb) have hb' : d * b < π / 2 := (lt_div_iff hb).1 hd set aff := (fun w => d * (w - a * I) : ℂ → ℂ) set g := fun (ε : ℝ) (w : ℂ) => exp (ε * (exp (aff w) + exp (-aff w))) suffices ∀ᶠ ε : ℝ in 𝓝[<] (0 : ℝ), ‖g ε z • f z‖ ≤ C by refine le_of_tendsto (Tendsto.mono_left ?_ nhdsWithin_le_nhds) this apply ((continuous_ofReal.mul continuous_const).cexp.smul continuous_const).norm.tendsto' simp filter_upwards [self_mem_nhdsWithin] with ε ε₀; change ε < 0 at ε₀ -- An upper estimate on `‖g ε w‖` that will be used in two branches of the proof. obtain ⟨δ, δ₀, hδ⟩ : ∃ δ : ℝ, δ < 0 ∧ ∀ ⦃w⦄, im w ∈ Icc (a - b) (a + b) → abs (g ε w) ≤ expR (δ * expR (d * |re w|)) := by refine ⟨ε * Real.cos (d * b), mul_neg_of_neg_of_pos ε₀ (Real.cos_pos_of_mem_Ioo <| abs_lt.1 <| (abs_of_pos (mul_pos hd₀ hb)).symm ▸ hb'), fun w hw => ?_⟩ replace hw : |im (aff w)| ≤ d * b := by rw [← Real.closedBall_eq_Icc] at hw rwa [im_ofReal_mul, sub_im, mul_I_im, ofReal_re, _root_.abs_mul, abs_of_pos hd₀, mul_le_mul_left hd₀] simpa only [aff, re_ofReal_mul, _root_.abs_mul, abs_of_pos hd₀, sub_re, mul_I_re, ofReal_im, zero_mul, neg_zero, sub_zero] using abs_exp_mul_exp_add_exp_neg_le_of_abs_im_le ε₀.le hw hb'.le -- `abs (g ε w) ≤ 1` on the lines `w.im = a ± b` (actually, it holds everywhere in the strip) have hg₁ : ∀ w, im w = a - b ∨ im w = a + b → abs (g ε w) ≤ 1 := by refine fun w hw => (hδ <| hw.by_cases ?_ ?_).trans (Real.exp_le_one_iff.2 ?_) exacts [fun h => h.symm ▸ left_mem_Icc.2 hab.le, fun h => h.symm ▸ right_mem_Icc.2 hab.le, mul_nonpos_of_nonpos_of_nonneg δ₀.le (Real.exp_pos _).le] obtain ⟨R, hzR, hR⟩ : ∃ R : ℝ, |z.re| < R ∧ ∀ w, |re w| = R → im w ∈ Ioo (a - b) (a + b) → ‖g ε w • f w‖ ≤ C := by refine ((eventually_gt_atTop _).and ?_).exists rcases hO.exists_pos with ⟨A, hA₀, hA⟩ simp only [isBigOWith_iff, eventually_inf_principal, eventually_comap, mem_Ioo, ← abs_lt, mem_preimage, (· ∘ ·), Real.norm_eq_abs, abs_of_pos (Real.exp_pos _)] at hA suffices Tendsto (fun R => expR (δ * expR (d * R) + B * expR (c * R) + Real.log A)) atTop (𝓝 0) by filter_upwards [this.eventually (ge_mem_nhds hC₀), hA] with R hR Hle w hre him calc ‖g ε w • f w‖ ≤ expR (δ * expR (d * R) + B * expR (c * R) + Real.log A) := ?_ _ ≤ C := hR rw [norm_smul, Real.exp_add, ← hre, Real.exp_add, Real.exp_log hA₀, mul_assoc, mul_comm _ A] gcongr exacts [hδ <| Ioo_subset_Icc_self him, Hle _ hre him] refine Real.tendsto_exp_atBot.comp ?_ suffices H : Tendsto (fun R => δ + B * (expR ((d - c) * R))⁻¹) atTop (𝓝 (δ + B * 0)) by rw [mul_zero, add_zero] at H refine Tendsto.atBot_add ?_ tendsto_const_nhds simpa only [id, (· ∘ ·), add_mul, mul_assoc, ← div_eq_inv_mul, ← Real.exp_sub, ← sub_mul, sub_sub_cancel] using H.neg_mul_atTop δ₀ <| Real.tendsto_exp_atTop.comp <| tendsto_const_nhds.mul_atTop hd₀ tendsto_id refine tendsto_const_nhds.add (tendsto_const_nhds.mul ?_) exact tendsto_inv_atTop_zero.comp <| Real.tendsto_exp_atTop.comp <| tendsto_const_nhds.mul_atTop (sub_pos.2 hcd) tendsto_id have hR₀ : 0 < R := (_root_.abs_nonneg _).trans_lt hzR have hgd : Differentiable ℂ (g ε) := ((((differentiable_id.sub_const _).const_mul _).cexp.add ((differentiable_id.sub_const _).const_mul _).neg.cexp).const_mul _).cexp replace hd : DiffContOnCl ℂ (fun w => g ε w • f w) (Ioo (-R) R ×ℂ Ioo (a - b) (a + b)) := (hgd.diffContOnCl.smul hfd).mono inter_subset_right convert norm_le_of_forall_mem_frontier_norm_le ((isBounded_Ioo _ _).reProdIm (isBounded_Ioo _ _)) hd (fun w hw => _) _ · rw [frontier_reProdIm, closure_Ioo (neg_lt_self hR₀).ne, frontier_Ioo hab, closure_Ioo hab.ne, frontier_Ioo (neg_lt_self hR₀)] at hw by_cases him : w.im = a - b ∨ w.im = a + b · rw [norm_smul, ← one_mul C] exact mul_le_mul (hg₁ _ him) (him.by_cases (hle_a _) (hle_b _)) (norm_nonneg _) zero_le_one · replace hw : w ∈ {-R, R} ×ℂ Icc (a - b) (a + b) := hw.resolve_left fun h ↦ him h.2 have hw' := eq_endpoints_or_mem_Ioo_of_mem_Icc hw.2; rw [← or_assoc] at hw' exact hR _ ((abs_eq hR₀.le).2 hw.1.symm) (hw'.resolve_left him) · rw [closure_reProdIm, closure_Ioo hab.ne, closure_Ioo (neg_lt_self hR₀).ne] exact ⟨abs_le.1 hzR.le, ⟨hza.le, hzb.le⟩⟩ #align phragmen_lindelof.horizontal_strip PhragmenLindelof.horizontal_strip theorem eq_zero_on_horizontal_strip (hd : DiffContOnCl ℂ f (im ⁻¹' Ioo a b)) (hB : ∃ c < π / (b - a), ∃ B, f =O[comap (_root_.abs ∘ re) atTop ⊓ 𝓟 (im ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.re|))) (ha : ∀ z : ℂ, z.im = a → f z = 0) (hb : ∀ z : ℂ, z.im = b → f z = 0) : EqOn f 0 (im ⁻¹' Icc a b) := fun _z hz => norm_le_zero_iff.1 <| horizontal_strip hd hB (fun z hz => (ha z hz).symm ▸ norm_zero.le) (fun z hz => (hb z hz).symm ▸ norm_zero.le) hz.1 hz.2 #align phragmen_lindelof.eq_zero_on_horizontal_strip PhragmenLindelof.eq_zero_on_horizontal_strip theorem eqOn_horizontal_strip {g : ℂ → E} (hdf : DiffContOnCl ℂ f (im ⁻¹' Ioo a b)) (hBf : ∃ c < π / (b - a), ∃ B, f =O[comap (_root_.abs ∘ re) atTop ⊓ 𝓟 (im ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.re|))) (hdg : DiffContOnCl ℂ g (im ⁻¹' Ioo a b)) (hBg : ∃ c < π / (b - a), ∃ B, g =O[comap (_root_.abs ∘ re) atTop ⊓ 𝓟 (im ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.re|))) (ha : ∀ z : ℂ, z.im = a → f z = g z) (hb : ∀ z : ℂ, z.im = b → f z = g z) : EqOn f g (im ⁻¹' Icc a b) := fun _z hz => sub_eq_zero.1 (eq_zero_on_horizontal_strip (hdf.sub hdg) (isBigO_sub_exp_exp hBf hBg) (fun w hw => sub_eq_zero.2 (ha w hw)) (fun w hw => sub_eq_zero.2 (hb w hw)) hz) #align phragmen_lindelof.eq_on_horizontal_strip PhragmenLindelof.eqOn_horizontal_strip theorem vertical_strip (hfd : DiffContOnCl ℂ f (re ⁻¹' Ioo a b)) (hB : ∃ c < π / (b - a), ∃ B, f =O[comap (_root_.abs ∘ im) atTop ⊓ 𝓟 (re ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.im|))) (hle_a : ∀ z : ℂ, re z = a → ‖f z‖ ≤ C) (hle_b : ∀ z, re z = b → ‖f z‖ ≤ C) (hza : a ≤ re z) (hzb : re z ≤ b) : ‖f z‖ ≤ C := by suffices ‖f (z * I * -I)‖ ≤ C by simpa [mul_assoc] using this have H : MapsTo (· * -I) (im ⁻¹' Ioo a b) (re ⁻¹' Ioo a b) := fun z hz ↦ by simpa using hz refine horizontal_strip (f := fun z ↦ f (z * -I)) (hfd.comp (differentiable_id.mul_const _).diffContOnCl H) ?_ (fun z hz => hle_a _ ?_) (fun z hz => hle_b _ ?_) ?_ ?_ · rcases hB with ⟨c, hc, B, hO⟩ refine ⟨c, hc, B, ?_⟩ have : Tendsto (· * -I) (comap (|re ·|) atTop ⊓ 𝓟 (im ⁻¹' Ioo a b)) (comap (|im ·|) atTop ⊓ 𝓟 (re ⁻¹' Ioo a b)) := by refine (tendsto_comap_iff.2 ?_).inf H.tendsto simpa [(· ∘ ·)] using tendsto_comap simpa [(· ∘ ·)] using hO.comp_tendsto this all_goals simpa #align phragmen_lindelof.vertical_strip PhragmenLindelof.vertical_strip theorem eq_zero_on_vertical_strip (hd : DiffContOnCl ℂ f (re ⁻¹' Ioo a b)) (hB : ∃ c < π / (b - a), ∃ B, f =O[comap (_root_.abs ∘ im) atTop ⊓ 𝓟 (re ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.im|))) (ha : ∀ z : ℂ, re z = a → f z = 0) (hb : ∀ z : ℂ, re z = b → f z = 0) : EqOn f 0 (re ⁻¹' Icc a b) := fun _z hz => norm_le_zero_iff.1 <| vertical_strip hd hB (fun z hz => (ha z hz).symm ▸ norm_zero.le) (fun z hz => (hb z hz).symm ▸ norm_zero.le) hz.1 hz.2 #align phragmen_lindelof.eq_zero_on_vertical_strip PhragmenLindelof.eq_zero_on_vertical_strip theorem eqOn_vertical_strip {g : ℂ → E} (hdf : DiffContOnCl ℂ f (re ⁻¹' Ioo a b)) (hBf : ∃ c < π / (b - a), ∃ B, f =O[comap (_root_.abs ∘ im) atTop ⊓ 𝓟 (re ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.im|))) (hdg : DiffContOnCl ℂ g (re ⁻¹' Ioo a b)) (hBg : ∃ c < π / (b - a), ∃ B, g =O[comap (_root_.abs ∘ im) atTop ⊓ 𝓟 (re ⁻¹' Ioo a b)] fun z ↦ expR (B * expR (c * |z.im|))) (ha : ∀ z : ℂ, re z = a → f z = g z) (hb : ∀ z : ℂ, re z = b → f z = g z) : EqOn f g (re ⁻¹' Icc a b) := fun _z hz => sub_eq_zero.1 (eq_zero_on_vertical_strip (hdf.sub hdg) (isBigO_sub_exp_exp hBf hBg) (fun w hw => sub_eq_zero.2 (ha w hw)) (fun w hw => sub_eq_zero.2 (hb w hw)) hz) #align phragmen_lindelof.eq_on_vertical_strip PhragmenLindelof.eqOn_vertical_strip nonrec theorem quadrant_I (hd : DiffContOnCl ℂ f (Ioi 0 ×ℂ Ioi 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, 0 ≤ x → ‖f x‖ ≤ C) (him : ∀ x : ℝ, 0 ≤ x → ‖f (x * I)‖ ≤ C) (hz_re : 0 ≤ z.re) (hz_im : 0 ≤ z.im) : ‖f z‖ ≤ C := by -- The case `z = 0` is trivial. rcases eq_or_ne z 0 with (rfl | hzne); · exact hre 0 le_rfl -- Otherwise, `z = e ^ ζ` for some `ζ : ℂ`, `0 < Im ζ < π / 2`. obtain ⟨ζ, hζ, rfl⟩ : ∃ ζ : ℂ, ζ.im ∈ Icc 0 (π / 2) ∧ exp ζ = z := by refine ⟨log z, ?_, exp_log hzne⟩ rw [log_im] exact ⟨arg_nonneg_iff.2 hz_im, arg_le_pi_div_two_iff.2 (Or.inl hz_re)⟩ -- Porting note: failed to clear `clear hz_re hz_im hzne` -- We are going to apply `PhragmenLindelof.horizontal_strip` to `f ∘ Complex.exp` and `ζ`. change ‖(f ∘ exp) ζ‖ ≤ C have H : MapsTo exp (im ⁻¹' Ioo 0 (π / 2)) (Ioi 0 ×ℂ Ioi 0) := fun z hz ↦ by rw [mem_reProdIm, exp_re, exp_im, mem_Ioi, mem_Ioi] have : 0 < Real.cos z.im := Real.cos_pos_of_mem_Ioo ⟨by linarith [hz.1, hz.2], hz.2⟩ have : 0 < Real.sin z.im := Real.sin_pos_of_mem_Ioo ⟨hz.1, hz.2.trans (half_lt_self Real.pi_pos)⟩ constructor <;> positivity refine horizontal_strip (hd.comp differentiable_exp.diffContOnCl H) ?_ ?_ ?_ hζ.1 hζ.2 -- Porting note: failed to clear hζ ζ · -- The estimate `hB` on `f` implies the required estimate on -- `f ∘ exp` with the same `c` and `B' = max B 0`. rw [sub_zero, div_div_cancel' Real.pi_pos.ne'] rcases hB with ⟨c, hc, B, hO⟩ refine ⟨c, hc, max B 0, ?_⟩ rw [← comap_comap, comap_abs_atTop, comap_sup, inf_sup_right] -- We prove separately the estimates as `ζ.re → ∞` and as `ζ.re → -∞` refine IsBigO.sup ?_ ((hO.comp_tendsto <| tendsto_exp_comap_re_atTop.inf H.tendsto).trans <| .of_bound 1 ?_) · -- For the estimate as `ζ.re → -∞`, note that `f` is continuous within the first quadrant at -- zero, hence `f (exp ζ)` has a limit as `ζ.re → -∞`, `0 < ζ.im < π / 2`. have hc : ContinuousWithinAt f (Ioi 0 ×ℂ Ioi 0) 0 := by refine (hd.continuousOn _ ?_).mono subset_closure simp [closure_reProdIm, mem_reProdIm] refine ((hc.tendsto.comp <| tendsto_exp_comap_re_atBot.inf H.tendsto).isBigO_one ℝ).trans (isBigO_of_le _ fun w => ?_) rw [norm_one, Real.norm_of_nonneg (Real.exp_pos _).le, Real.one_le_exp_iff] positivity · -- For the estimate as `ζ.re → ∞`, we reuse the upper estimate on `f` simp only [eventually_inf_principal, eventually_comap, comp_apply, one_mul, Real.norm_of_nonneg (Real.exp_pos _).le, abs_exp, ← Real.exp_mul, Real.exp_le_exp] refine (eventually_ge_atTop 0).mono fun x hx z hz _ => ?_ rw [hz, _root_.abs_of_nonneg hx, mul_comm _ c] gcongr; apply le_max_left · -- If `ζ.im = 0`, then `Complex.exp ζ` is a positive real number intro ζ hζ; lift ζ to ℝ using hζ rw [comp_apply, ← ofReal_exp] exact hre _ (Real.exp_pos _).le · -- If `ζ.im = π / 2`, then `Complex.exp ζ` is a purely imaginary number with positive `im` intro ζ hζ rw [← re_add_im ζ, hζ, comp_apply, exp_add_mul_I, ← ofReal_cos, ← ofReal_sin, Real.cos_pi_div_two, Real.sin_pi_div_two, ofReal_zero, ofReal_one, one_mul, zero_add, ← ofReal_exp] exact him _ (Real.exp_pos _).le set_option linter.uppercaseLean3 false in #align phragmen_lindelof.quadrant_I PhragmenLindelof.quadrant_I theorem eq_zero_on_quadrant_I (hd : DiffContOnCl ℂ f (Ioi 0 ×ℂ Ioi 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, 0 ≤ x → f x = 0) (him : ∀ x : ℝ, 0 ≤ x → f (x * I) = 0) : EqOn f 0 {z | 0 ≤ z.re ∧ 0 ≤ z.im} := fun _z hz => norm_le_zero_iff.1 <| quadrant_I hd hB (fun x hx => norm_le_zero_iff.2 <| hre x hx) (fun x hx => norm_le_zero_iff.2 <| him x hx) hz.1 hz.2 set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_zero_on_quadrant_I PhragmenLindelof.eq_zero_on_quadrant_I theorem eqOn_quadrant_I (hdf : DiffContOnCl ℂ f (Ioi 0 ×ℂ Ioi 0)) (hBf : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hdg : DiffContOnCl ℂ g (Ioi 0 ×ℂ Ioi 0)) (hBg : ∃ c < (2 : ℝ), ∃ B, g =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, 0 ≤ x → f x = g x) (him : ∀ x : ℝ, 0 ≤ x → f (x * I) = g (x * I)) : EqOn f g {z | 0 ≤ z.re ∧ 0 ≤ z.im} := fun _z hz => sub_eq_zero.1 <| eq_zero_on_quadrant_I (hdf.sub hdg) (isBigO_sub_exp_rpow hBf hBg) (fun x hx => sub_eq_zero.2 <| hre x hx) (fun x hx => sub_eq_zero.2 <| him x hx) hz set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_on_quadrant_I PhragmenLindelof.eqOn_quadrant_I theorem quadrant_II (hd : DiffContOnCl ℂ f (Iio 0 ×ℂ Ioi 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, x ≤ 0 → ‖f x‖ ≤ C) (him : ∀ x : ℝ, 0 ≤ x → ‖f (x * I)‖ ≤ C) (hz_re : z.re ≤ 0) (hz_im : 0 ≤ z.im) : ‖f z‖ ≤ C := by obtain ⟨z, rfl⟩ : ∃ z', z' * I = z := ⟨z / I, div_mul_cancel₀ _ I_ne_zero⟩ simp only [mul_I_re, mul_I_im, neg_nonpos] at hz_re hz_im change ‖(f ∘ (· * I)) z‖ ≤ C have H : MapsTo (· * I) (Ioi 0 ×ℂ Ioi 0) (Iio 0 ×ℂ Ioi 0) := fun w hw ↦ by simpa only [mem_reProdIm, mul_I_re, mul_I_im, neg_lt_zero, mem_Iio] using hw.symm rcases hB with ⟨c, hc, B, hO⟩ refine quadrant_I (hd.comp (differentiable_id.mul_const _).diffContOnCl H) ⟨c, hc, B, ?_⟩ him (fun x hx => ?_) hz_im hz_re · simpa only [(· ∘ ·), map_mul, abs_I, mul_one] using hO.comp_tendsto ((tendsto_mul_right_cobounded I_ne_zero).inf H.tendsto) · rw [comp_apply, mul_assoc, I_mul_I, mul_neg_one, ← ofReal_neg] exact hre _ (neg_nonpos.2 hx) set_option linter.uppercaseLean3 false in #align phragmen_lindelof.quadrant_II PhragmenLindelof.quadrant_II theorem eq_zero_on_quadrant_II (hd : DiffContOnCl ℂ f (Iio 0 ×ℂ Ioi 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, x ≤ 0 → f x = 0) (him : ∀ x : ℝ, 0 ≤ x → f (x * I) = 0) : EqOn f 0 {z | z.re ≤ 0 ∧ 0 ≤ z.im} := fun _z hz => norm_le_zero_iff.1 <| quadrant_II hd hB (fun x hx => norm_le_zero_iff.2 <| hre x hx) (fun x hx => norm_le_zero_iff.2 <| him x hx) hz.1 hz.2 set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_zero_on_quadrant_II PhragmenLindelof.eq_zero_on_quadrant_II theorem eqOn_quadrant_II (hdf : DiffContOnCl ℂ f (Iio 0 ×ℂ Ioi 0)) (hBf : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hdg : DiffContOnCl ℂ g (Iio 0 ×ℂ Ioi 0)) (hBg : ∃ c < (2 : ℝ), ∃ B, g =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Ioi 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, x ≤ 0 → f x = g x) (him : ∀ x : ℝ, 0 ≤ x → f (x * I) = g (x * I)) : EqOn f g {z | z.re ≤ 0 ∧ 0 ≤ z.im} := fun _z hz => sub_eq_zero.1 <| eq_zero_on_quadrant_II (hdf.sub hdg) (isBigO_sub_exp_rpow hBf hBg) (fun x hx => sub_eq_zero.2 <| hre x hx) (fun x hx => sub_eq_zero.2 <| him x hx) hz set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_on_quadrant_II PhragmenLindelof.eqOn_quadrant_II theorem quadrant_III (hd : DiffContOnCl ℂ f (Iio 0 ×ℂ Iio 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, x ≤ 0 → ‖f x‖ ≤ C) (him : ∀ x : ℝ, x ≤ 0 → ‖f (x * I)‖ ≤ C) (hz_re : z.re ≤ 0) (hz_im : z.im ≤ 0) : ‖f z‖ ≤ C := by obtain ⟨z, rfl⟩ : ∃ z', -z' = z := ⟨-z, neg_neg z⟩ simp only [neg_re, neg_im, neg_nonpos] at hz_re hz_im change ‖(f ∘ Neg.neg) z‖ ≤ C have H : MapsTo Neg.neg (Ioi 0 ×ℂ Ioi 0) (Iio 0 ×ℂ Iio 0) := by intro w hw simpa only [mem_reProdIm, neg_re, neg_im, neg_lt_zero, mem_Iio] using hw refine quadrant_I (hd.comp differentiable_neg.diffContOnCl H) ?_ (fun x hx => ?_) (fun x hx => ?_) hz_re hz_im · rcases hB with ⟨c, hc, B, hO⟩ refine ⟨c, hc, B, ?_⟩ simpa only [(· ∘ ·), Complex.abs.map_neg] using hO.comp_tendsto (tendsto_neg_cobounded.inf H.tendsto) · rw [comp_apply, ← ofReal_neg] exact hre (-x) (neg_nonpos.2 hx) · rw [comp_apply, ← neg_mul, ← ofReal_neg] exact him (-x) (neg_nonpos.2 hx) set_option linter.uppercaseLean3 false in #align phragmen_lindelof.quadrant_III PhragmenLindelof.quadrant_III theorem eq_zero_on_quadrant_III (hd : DiffContOnCl ℂ f (Iio 0 ×ℂ Iio 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, x ≤ 0 → f x = 0) (him : ∀ x : ℝ, x ≤ 0 → f (x * I) = 0) : EqOn f 0 {z | z.re ≤ 0 ∧ z.im ≤ 0} := fun _z hz => norm_le_zero_iff.1 <| quadrant_III hd hB (fun x hx => norm_le_zero_iff.2 <| hre x hx) (fun x hx => norm_le_zero_iff.2 <| him x hx) hz.1 hz.2 set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_zero_on_quadrant_III PhragmenLindelof.eq_zero_on_quadrant_III theorem eqOn_quadrant_III (hdf : DiffContOnCl ℂ f (Iio 0 ×ℂ Iio 0)) (hBf : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hdg : DiffContOnCl ℂ g (Iio 0 ×ℂ Iio 0)) (hBg : ∃ c < (2 : ℝ), ∃ B, g =O[cobounded ℂ ⊓ 𝓟 (Iio 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, x ≤ 0 → f x = g x) (him : ∀ x : ℝ, x ≤ 0 → f (x * I) = g (x * I)) : EqOn f g {z | z.re ≤ 0 ∧ z.im ≤ 0} := fun _z hz => sub_eq_zero.1 <| eq_zero_on_quadrant_III (hdf.sub hdg) (isBigO_sub_exp_rpow hBf hBg) (fun x hx => sub_eq_zero.2 <| hre x hx) (fun x hx => sub_eq_zero.2 <| him x hx) hz set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_on_quadrant_III PhragmenLindelof.eqOn_quadrant_III theorem quadrant_IV (hd : DiffContOnCl ℂ f (Ioi 0 ×ℂ Iio 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, 0 ≤ x → ‖f x‖ ≤ C) (him : ∀ x : ℝ, x ≤ 0 → ‖f (x * I)‖ ≤ C) (hz_re : 0 ≤ z.re) (hz_im : z.im ≤ 0) : ‖f z‖ ≤ C := by obtain ⟨z, rfl⟩ : ∃ z', -z' = z := ⟨-z, neg_neg z⟩ simp only [neg_re, neg_im, neg_nonpos, neg_nonneg] at hz_re hz_im change ‖(f ∘ Neg.neg) z‖ ≤ C have H : MapsTo Neg.neg (Iio 0 ×ℂ Ioi 0) (Ioi 0 ×ℂ Iio 0) := fun w hw ↦ by simpa only [mem_reProdIm, neg_re, neg_im, neg_lt_zero, neg_pos, mem_Ioi, mem_Iio] using hw refine quadrant_II (hd.comp differentiable_neg.diffContOnCl H) ?_ (fun x hx => ?_) (fun x hx => ?_) hz_re hz_im · rcases hB with ⟨c, hc, B, hO⟩ refine ⟨c, hc, B, ?_⟩ simpa only [(· ∘ ·), Complex.abs.map_neg] using hO.comp_tendsto (tendsto_neg_cobounded.inf H.tendsto) · rw [comp_apply, ← ofReal_neg] exact hre (-x) (neg_nonneg.2 hx) · rw [comp_apply, ← neg_mul, ← ofReal_neg] exact him (-x) (neg_nonpos.2 hx) set_option linter.uppercaseLean3 false in #align phragmen_lindelof.quadrant_IV PhragmenLindelof.quadrant_IV theorem eq_zero_on_quadrant_IV (hd : DiffContOnCl ℂ f (Ioi 0 ×ℂ Iio 0)) (hB : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, 0 ≤ x → f x = 0) (him : ∀ x : ℝ, x ≤ 0 → f (x * I) = 0) : EqOn f 0 {z | 0 ≤ z.re ∧ z.im ≤ 0} := fun _z hz => norm_le_zero_iff.1 <| quadrant_IV hd hB (fun x hx => norm_le_zero_iff.2 <| hre x hx) (fun x hx => norm_le_zero_iff.2 <| him x hx) hz.1 hz.2 set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_zero_on_quadrant_IV PhragmenLindelof.eq_zero_on_quadrant_IV theorem eqOn_quadrant_IV (hdf : DiffContOnCl ℂ f (Ioi 0 ×ℂ Iio 0)) (hBf : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hdg : DiffContOnCl ℂ g (Ioi 0 ×ℂ Iio 0)) (hBg : ∃ c < (2 : ℝ), ∃ B, g =O[cobounded ℂ ⊓ 𝓟 (Ioi 0 ×ℂ Iio 0)] fun z => expR (B * abs z ^ c)) (hre : ∀ x : ℝ, 0 ≤ x → f x = g x) (him : ∀ x : ℝ, x ≤ 0 → f (x * I) = g (x * I)) : EqOn f g {z | 0 ≤ z.re ∧ z.im ≤ 0} := fun _z hz => sub_eq_zero.1 <| eq_zero_on_quadrant_IV (hdf.sub hdg) (isBigO_sub_exp_rpow hBf hBg) (fun x hx => sub_eq_zero.2 <| hre x hx) (fun x hx => sub_eq_zero.2 <| him x hx) hz set_option linter.uppercaseLean3 false in #align phragmen_lindelof.eq_on_quadrant_IV PhragmenLindelof.eqOn_quadrant_IV theorem right_half_plane_of_tendsto_zero_on_real (hd : DiffContOnCl ℂ f {z | 0 < z.re}) (hexp : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 {z | 0 < z.re}] fun z => expR (B * abs z ^ c)) (hre : Tendsto (fun x : ℝ => f x) atTop (𝓝 0)) (him : ∀ x : ℝ, ‖f (x * I)‖ ≤ C) (hz : 0 ≤ z.re) : ‖f z‖ ≤ C := by revert z have hle : ∀ C', (∀ x : ℝ, 0 ≤ x → ‖f x‖ ≤ C') → ∀ z : ℂ, 0 ≤ z.re → ‖f z‖ ≤ max C C' := fun C' hC' z hz ↦ by rcases hexp with ⟨c, hc, B, hO⟩ rcases le_total z.im 0 with h | h · refine quadrant_IV (hd.mono fun _ => And.left) ⟨c, hc, B, ?_⟩ (fun x hx => (hC' x hx).trans <| le_max_right _ _) (fun x _ => (him x).trans (le_max_left _ _)) hz h exact hO.mono (inf_le_inf_left _ <| principal_mono.2 fun _ => And.left) · refine quadrant_I (hd.mono fun _ => And.left) ⟨c, hc, B, ?_⟩ (fun x hx => (hC' x hx).trans <| le_max_right _ _) (fun x _ => (him x).trans (le_max_left _ _)) hz h exact hO.mono (inf_le_inf_left _ <| principal_mono.2 fun _ => And.left) -- Since `f` is continuous on `Ici 0` and `‖f x‖` tends to zero as `x → ∞`, -- the norm `‖f x‖` takes its maximum value at some `x₀ : ℝ`. obtain ⟨x₀, hx₀, hmax⟩ : ∃ x : ℝ, 0 ≤ x ∧ ∀ y : ℝ, 0 ≤ y → ‖f y‖ ≤ ‖f x‖ := by have hfc : ContinuousOn (fun x : ℝ => f x) (Ici 0) := by refine hd.continuousOn.comp continuous_ofReal.continuousOn fun x hx => ?_ rwa [closure_setOf_lt_re] by_cases h₀ : ∀ x : ℝ, 0 ≤ x → f x = 0 · refine ⟨0, le_rfl, fun y hy => ?_⟩; rw [h₀ y hy, h₀ 0 le_rfl] push_neg at h₀ rcases h₀ with ⟨x₀, hx₀, hne⟩ have hlt : ‖(0 : E)‖ < ‖f x₀‖ := by rwa [norm_zero, norm_pos_iff] suffices ∀ᶠ x : ℝ in cocompact ℝ ⊓ 𝓟 (Ici 0), ‖f x‖ ≤ ‖f x₀‖ by simpa only [exists_prop] using hfc.norm.exists_isMaxOn' isClosed_Ici hx₀ this rw [cocompact_eq_atBot_atTop, inf_sup_right, (disjoint_atBot_principal_Ici (0 : ℝ)).eq_bot, bot_sup_eq] exact (hre.norm.eventually <| ge_mem_nhds hlt).filter_mono inf_le_left rcases le_or_lt ‖f x₀‖ C with h | h ·-- If `‖f x₀‖ ≤ C`, then `hle` implies the required estimate simpa only [max_eq_left h] using hle _ hmax · -- Otherwise, `‖f z‖ ≤ ‖f x₀‖` for all `z` in the right half-plane due to `hle`. replace hmax : IsMaxOn (norm ∘ f) {z | 0 < z.re} x₀ := by rintro z (hz : 0 < z.re) simpa [max_eq_right h.le] using hle _ hmax _ hz.le -- Due to the maximum modulus principle applied to the closed ball of radius `x₀.re`, -- `‖f 0‖ = ‖f x₀‖`. have : ‖f 0‖ = ‖f x₀‖ := by apply norm_eq_norm_of_isMaxOn_of_ball_subset hd hmax -- move to a lemma? intro z hz rw [mem_ball, dist_zero_left, dist_eq, norm_eq_abs, Complex.abs_of_nonneg hx₀] at hz rw [mem_setOf_eq] contrapose! hz calc x₀ ≤ x₀ - z.re := (le_sub_self_iff _).2 hz _ ≤ |x₀ - z.re| := le_abs_self _ _ = |(z - x₀).re| := by rw [sub_re, ofReal_re, _root_.abs_sub_comm] _ ≤ abs (z - x₀) := abs_re_le_abs _ -- Thus we have `C < ‖f x₀‖ = ‖f 0‖ ≤ C`. Contradiction completes the proof. refine (h.not_le <| this ▸ ?_).elim simpa using him 0 #align phragmen_lindelof.right_half_plane_of_tendsto_zero_on_real PhragmenLindelof.right_half_plane_of_tendsto_zero_on_real theorem right_half_plane_of_bounded_on_real (hd : DiffContOnCl ℂ f {z | 0 < z.re}) (hexp : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 {z | 0 < z.re}] fun z => expR (B * abs z ^ c)) (hre : IsBoundedUnder (· ≤ ·) atTop fun x : ℝ => ‖f x‖) (him : ∀ x : ℝ, ‖f (x * I)‖ ≤ C) (hz : 0 ≤ z.re) : ‖f z‖ ≤ C := by -- For each `ε < 0`, the function `fun z ↦ exp (ε * z) • f z` satisfies assumptions of -- `right_half_plane_of_tendsto_zero_on_real`, hence `‖exp (ε * z) • f z‖ ≤ C` for all `ε < 0`. -- Taking the limit as `ε → 0`, we obtain the required inequality. suffices ∀ᶠ ε : ℝ in 𝓝[<] 0, ‖exp (ε * z) • f z‖ ≤ C by refine le_of_tendsto (Tendsto.mono_left ?_ nhdsWithin_le_nhds) this apply ((continuous_ofReal.mul continuous_const).cexp.smul continuous_const).norm.tendsto' simp filter_upwards [self_mem_nhdsWithin] with ε ε₀; change ε < 0 at ε₀ set g : ℂ → E := fun z => exp (ε * z) • f z; change ‖g z‖ ≤ C replace hd : DiffContOnCl ℂ g {z : ℂ | 0 < z.re} := (differentiable_id.const_mul _).cexp.diffContOnCl.smul hd have hgn : ∀ z, ‖g z‖ = expR (ε * z.re) * ‖f z‖ := fun z ↦ by rw [norm_smul, norm_eq_abs, abs_exp, re_ofReal_mul] refine right_half_plane_of_tendsto_zero_on_real hd ?_ ?_ (fun y => ?_) hz · rcases hexp with ⟨c, hc, B, hO⟩ refine ⟨c, hc, B, (IsBigO.of_bound 1 ?_).trans hO⟩ refine eventually_inf_principal.2 <| eventually_of_forall fun z hz => ?_ rw [hgn, one_mul] refine mul_le_of_le_one_left (norm_nonneg _) (Real.exp_le_one_iff.2 ?_) exact mul_nonpos_of_nonpos_of_nonneg ε₀.le (le_of_lt hz) · simp_rw [g, ← ofReal_mul, ← ofReal_exp, coe_smul] have h₀ : Tendsto (fun x : ℝ => expR (ε * x)) atTop (𝓝 0) := Real.tendsto_exp_atBot.comp (tendsto_const_nhds.neg_mul_atTop ε₀ tendsto_id) exact h₀.zero_smul_isBoundedUnder_le hre · rw [hgn, re_ofReal_mul, I_re, mul_zero, mul_zero, Real.exp_zero, one_mul] exact him y #align phragmen_lindelof.right_half_plane_of_bounded_on_real PhragmenLindelof.right_half_plane_of_bounded_on_real theorem eq_zero_on_right_half_plane_of_superexponential_decay (hd : DiffContOnCl ℂ f {z | 0 < z.re}) (hexp : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 {z | 0 < z.re}] fun z => expR (B * abs z ^ c)) (hre : SuperpolynomialDecay atTop expR fun x => ‖f x‖) (him : ∃ C, ∀ x : ℝ, ‖f (x * I)‖ ≤ C) : EqOn f 0 {z : ℂ | 0 ≤ z.re} := by rcases him with ⟨C, hC⟩ -- Due to continuity, it suffices to prove the equality on the open right half-plane. suffices ∀ z : ℂ, 0 < z.re → f z = 0 by simpa only [closure_setOf_lt_re] using EqOn.of_subset_closure this hd.continuousOn continuousOn_const subset_closure Subset.rfl -- Consider $g_n(z)=e^{nz}f(z)$. set g : ℕ → ℂ → E := fun (n : ℕ) (z : ℂ) => exp z ^ n • f z have hg : ∀ n z, ‖g n z‖ = expR z.re ^ n * ‖f z‖ := fun n z ↦ by simp only [g, norm_smul, norm_eq_abs, Complex.abs_pow, abs_exp] intro z hz -- Since `e^{nz} → ∞` as `n → ∞`, it suffices to show that each `g_n` is bounded from above by `C` suffices H : ∀ n : ℕ, ‖g n z‖ ≤ C by contrapose! H simp only [hg] exact (((tendsto_pow_atTop_atTop_of_one_lt (Real.one_lt_exp_iff.2 hz)).atTop_mul (norm_pos_iff.2 H) tendsto_const_nhds).eventually (eventually_gt_atTop C)).exists intro n -- This estimate follows from the Phragmen-Lindelöf principle in the right half-plane. refine right_half_plane_of_tendsto_zero_on_real ((differentiable_exp.pow n).diffContOnCl.smul hd) ?_ ?_ (fun y => ?_) hz.le · rcases hexp with ⟨c, hc, B, hO⟩ refine ⟨max c 1, max_lt hc one_lt_two, n + max B 0, .of_norm_left ?_⟩ simp only [hg] refine ((isBigO_refl (fun z : ℂ => expR z.re ^ n) _).mul hO.norm_left).trans (.of_bound 1 ?_) filter_upwards [(eventually_cobounded_le_norm 1).filter_mono inf_le_left] with z hz simp only [← Real.exp_nat_mul, ← Real.exp_add, Real.norm_eq_abs, Real.abs_exp, add_mul, one_mul] gcongr · calc z.re ≤ abs z := re_le_abs _ _ = abs z ^ (1 : ℝ) := (Real.rpow_one _).symm _ ≤ abs z ^ max c 1 := Real.rpow_le_rpow_of_exponent_le hz (le_max_right _ _) exacts [le_max_left _ _, hz, le_max_left _ _] · rw [tendsto_zero_iff_norm_tendsto_zero]; simp only [hg] exact hre n · rw [hg, re_ofReal_mul, I_re, mul_zero, Real.exp_zero, one_pow, one_mul] exact hC y #align phragmen_lindelof.eq_zero_on_right_half_plane_of_superexponential_decay PhragmenLindelof.eq_zero_on_right_half_plane_of_superexponential_decay
Mathlib/Analysis/Complex/PhragmenLindelof.lean
850
864
theorem eqOn_right_half_plane_of_superexponential_decay {g : ℂ → E} (hfd : DiffContOnCl ℂ f {z | 0 < z.re}) (hgd : DiffContOnCl ℂ g {z | 0 < z.re}) (hfexp : ∃ c < (2 : ℝ), ∃ B, f =O[cobounded ℂ ⊓ 𝓟 {z | 0 < z.re}] fun z => expR (B * abs z ^ c)) (hgexp : ∃ c < (2 : ℝ), ∃ B, g =O[cobounded ℂ ⊓ 𝓟 {z | 0 < z.re}] fun z => expR (B * abs z ^ c)) (hre : SuperpolynomialDecay atTop expR fun x => ‖f x - g x‖) (hfim : ∃ C, ∀ x : ℝ, ‖f (x * I)‖ ≤ C) (hgim : ∃ C, ∀ x : ℝ, ‖g (x * I)‖ ≤ C) : EqOn f g {z : ℂ | 0 ≤ z.re} := by
suffices EqOn (f - g) 0 {z : ℂ | 0 ≤ z.re} by simpa only [EqOn, Pi.sub_apply, Pi.zero_apply, sub_eq_zero] using this refine eq_zero_on_right_half_plane_of_superexponential_decay (hfd.sub hgd) ?_ hre ?_ · exact isBigO_sub_exp_rpow hfexp hgexp · rcases hfim with ⟨Cf, hCf⟩; rcases hgim with ⟨Cg, hCg⟩ exact ⟨Cf + Cg, fun x => norm_sub_le_of_le (hCf x) (hCg x)⟩
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms import Mathlib.CategoryTheory.Limits.Constructions.BinaryProducts #align_import category_theory.limits.constructions.zero_objects from "leanprover-community/mathlib"@"52a270e2ea4e342c2587c106f8be904524214a4b" noncomputable section open CategoryTheory variable {C : Type*} [Category C] namespace CategoryTheory.Limits variable [HasZeroObject C] [HasZeroMorphisms C] open ZeroObject def binaryFanZeroLeft (X : C) : BinaryFan (0 : C) X := BinaryFan.mk 0 (𝟙 X) #align category_theory.limits.binary_fan_zero_left CategoryTheory.Limits.binaryFanZeroLeft def binaryFanZeroLeftIsLimit (X : C) : IsLimit (binaryFanZeroLeft X) := BinaryFan.isLimitMk (fun s => BinaryFan.snd s) (by aesop_cat) (by aesop_cat) (fun s m _ h₂ => by simpa using h₂) #align category_theory.limits.binary_fan_zero_left_is_limit CategoryTheory.Limits.binaryFanZeroLeftIsLimit instance hasBinaryProduct_zero_left (X : C) : HasBinaryProduct (0 : C) X := HasLimit.mk ⟨_, binaryFanZeroLeftIsLimit X⟩ #align category_theory.limits.has_binary_product_zero_left CategoryTheory.Limits.hasBinaryProduct_zero_left def zeroProdIso (X : C) : (0 : C) ⨯ X ≅ X := limit.isoLimitCone ⟨_, binaryFanZeroLeftIsLimit X⟩ #align category_theory.limits.zero_prod_iso CategoryTheory.Limits.zeroProdIso @[simp] theorem zeroProdIso_hom (X : C) : (zeroProdIso X).hom = prod.snd := rfl #align category_theory.limits.zero_prod_iso_hom CategoryTheory.Limits.zeroProdIso_hom @[simp] theorem zeroProdIso_inv_snd (X : C) : (zeroProdIso X).inv ≫ prod.snd = 𝟙 X := by dsimp [zeroProdIso, binaryFanZeroLeft] simp #align category_theory.limits.zero_prod_iso_inv_snd CategoryTheory.Limits.zeroProdIso_inv_snd def binaryFanZeroRight (X : C) : BinaryFan X (0 : C) := BinaryFan.mk (𝟙 X) 0 #align category_theory.limits.binary_fan_zero_right CategoryTheory.Limits.binaryFanZeroRight def binaryFanZeroRightIsLimit (X : C) : IsLimit (binaryFanZeroRight X) := BinaryFan.isLimitMk (fun s => BinaryFan.fst s) (by aesop_cat) (by aesop_cat) (fun s m h₁ _ => by simpa using h₁) #align category_theory.limits.binary_fan_zero_right_is_limit CategoryTheory.Limits.binaryFanZeroRightIsLimit instance hasBinaryProduct_zero_right (X : C) : HasBinaryProduct X (0 : C) := HasLimit.mk ⟨_, binaryFanZeroRightIsLimit X⟩ #align category_theory.limits.has_binary_product_zero_right CategoryTheory.Limits.hasBinaryProduct_zero_right def prodZeroIso (X : C) : X ⨯ (0 : C) ≅ X := limit.isoLimitCone ⟨_, binaryFanZeroRightIsLimit X⟩ #align category_theory.limits.prod_zero_iso CategoryTheory.Limits.prodZeroIso @[simp] theorem prodZeroIso_hom (X : C) : (prodZeroIso X).hom = prod.fst := rfl #align category_theory.limits.prod_zero_iso_hom CategoryTheory.Limits.prodZeroIso_hom @[simp] theorem prodZeroIso_iso_inv_snd (X : C) : (prodZeroIso X).inv ≫ prod.fst = 𝟙 X := by dsimp [prodZeroIso, binaryFanZeroRight] simp #align category_theory.limits.prod_zero_iso_iso_inv_snd CategoryTheory.Limits.prodZeroIso_iso_inv_snd def binaryCofanZeroLeft (X : C) : BinaryCofan (0 : C) X := BinaryCofan.mk 0 (𝟙 X) #align category_theory.limits.binary_cofan_zero_left CategoryTheory.Limits.binaryCofanZeroLeft def binaryCofanZeroLeftIsColimit (X : C) : IsColimit (binaryCofanZeroLeft X) := BinaryCofan.isColimitMk (fun s => BinaryCofan.inr s) (by aesop_cat) (by aesop_cat) (fun s m _ h₂ => by simpa using h₂) #align category_theory.limits.binary_cofan_zero_left_is_colimit CategoryTheory.Limits.binaryCofanZeroLeftIsColimit instance hasBinaryCoproduct_zero_left (X : C) : HasBinaryCoproduct (0 : C) X := HasColimit.mk ⟨_, binaryCofanZeroLeftIsColimit X⟩ #align category_theory.limits.has_binary_coproduct_zero_left CategoryTheory.Limits.hasBinaryCoproduct_zero_left def zeroCoprodIso (X : C) : (0 : C) ⨿ X ≅ X := colimit.isoColimitCocone ⟨_, binaryCofanZeroLeftIsColimit X⟩ #align category_theory.limits.zero_coprod_iso CategoryTheory.Limits.zeroCoprodIso @[simp] theorem inr_zeroCoprodIso_hom (X : C) : coprod.inr ≫ (zeroCoprodIso X).hom = 𝟙 X := by dsimp [zeroCoprodIso, binaryCofanZeroLeft] simp #align category_theory.limits.inr_zero_coprod_iso_hom CategoryTheory.Limits.inr_zeroCoprodIso_hom @[simp] theorem zeroCoprodIso_inv (X : C) : (zeroCoprodIso X).inv = coprod.inr := rfl #align category_theory.limits.zero_coprod_iso_inv CategoryTheory.Limits.zeroCoprodIso_inv def binaryCofanZeroRight (X : C) : BinaryCofan X (0 : C) := BinaryCofan.mk (𝟙 X) 0 #align category_theory.limits.binary_cofan_zero_right CategoryTheory.Limits.binaryCofanZeroRight def binaryCofanZeroRightIsColimit (X : C) : IsColimit (binaryCofanZeroRight X) := BinaryCofan.isColimitMk (fun s => BinaryCofan.inl s) (by aesop_cat) (by aesop_cat) (fun s m h₁ _ => by simpa using h₁) #align category_theory.limits.binary_cofan_zero_right_is_colimit CategoryTheory.Limits.binaryCofanZeroRightIsColimit instance hasBinaryCoproduct_zero_right (X : C) : HasBinaryCoproduct X (0 : C) := HasColimit.mk ⟨_, binaryCofanZeroRightIsColimit X⟩ #align category_theory.limits.has_binary_coproduct_zero_right CategoryTheory.Limits.hasBinaryCoproduct_zero_right def coprodZeroIso (X : C) : X ⨿ (0 : C) ≅ X := colimit.isoColimitCocone ⟨_, binaryCofanZeroRightIsColimit X⟩ #align category_theory.limits.coprod_zero_iso CategoryTheory.Limits.coprodZeroIso @[simp] theorem inr_coprodZeroIso_hom (X : C) : coprod.inl ≫ (coprodZeroIso X).hom = 𝟙 X := by dsimp [coprodZeroIso, binaryCofanZeroRight] simp #align category_theory.limits.inr_coprod_zeroiso_hom CategoryTheory.Limits.inr_coprodZeroIso_hom @[simp] theorem coprodZeroIso_inv (X : C) : (coprodZeroIso X).inv = coprod.inl := rfl #align category_theory.limits.coprod_zero_iso_inv CategoryTheory.Limits.coprodZeroIso_inv instance hasPullback_over_zero (X Y : C) [HasBinaryProduct X Y] : HasPullback (0 : X ⟶ 0) (0 : Y ⟶ 0) := HasLimit.mk ⟨_, isPullbackOfIsTerminalIsProduct _ _ _ _ HasZeroObject.zeroIsTerminal (prodIsProd X Y)⟩ #align category_theory.limits.has_pullback_over_zero CategoryTheory.Limits.hasPullback_over_zero def pullbackZeroZeroIso (X Y : C) [HasBinaryProduct X Y] : pullback (0 : X ⟶ 0) (0 : Y ⟶ 0) ≅ X ⨯ Y := limit.isoLimitCone ⟨_, isPullbackOfIsTerminalIsProduct _ _ _ _ HasZeroObject.zeroIsTerminal (prodIsProd X Y)⟩ #align category_theory.limits.pullback_zero_zero_iso CategoryTheory.Limits.pullbackZeroZeroIso @[simp] theorem pullbackZeroZeroIso_inv_fst (X Y : C) [HasBinaryProduct X Y] : (pullbackZeroZeroIso X Y).inv ≫ pullback.fst = prod.fst := by dsimp [pullbackZeroZeroIso] simp #align category_theory.limits.pullback_zero_zero_iso_inv_fst CategoryTheory.Limits.pullbackZeroZeroIso_inv_fst @[simp] theorem pullbackZeroZeroIso_inv_snd (X Y : C) [HasBinaryProduct X Y] : (pullbackZeroZeroIso X Y).inv ≫ pullback.snd = prod.snd := by dsimp [pullbackZeroZeroIso] simp #align category_theory.limits.pullback_zero_zero_iso_inv_snd CategoryTheory.Limits.pullbackZeroZeroIso_inv_snd @[simp]
Mathlib/CategoryTheory/Limits/Constructions/ZeroObjects.lean
184
185
theorem pullbackZeroZeroIso_hom_fst (X Y : C) [HasBinaryProduct X Y] : (pullbackZeroZeroIso X Y).hom ≫ prod.fst = pullback.fst := by
simp [← Iso.eq_inv_comp]
import Mathlib.Data.Set.Pointwise.SMul import Mathlib.GroupTheory.GroupAction.Hom open Set Pointwise theorem MulAction.smul_bijective_of_is_unit {M : Type*} [Monoid M] {α : Type*} [MulAction M α] {m : M} (hm : IsUnit m) : Function.Bijective (fun (a : α) ↦ m • a) := by lift m to Mˣ using hm rw [Function.bijective_iff_has_inverse] use fun a ↦ m⁻¹ • a constructor · intro x; simp [← Units.smul_def] · intro x; simp [← Units.smul_def] variable {R S : Type*} (M M₁ M₂ N : Type*) variable [Monoid R] [Monoid S] (σ : R → S) variable [MulAction R M] [MulAction S N] [MulAction R M₁] [MulAction R M₂] variable {F : Type*} (h : F) section MulActionSemiHomClass variable [FunLike F M N] [MulActionSemiHomClass F σ M N] (c : R) (s : Set M) (t : Set N) -- @[simp] -- In #8386, the `simp_nf` linter complains: -- "Left-hand side does not simplify, when using the simp lemma on itself." -- For now we will have to manually add `image_smul_setₛₗ _` to the `simp` argument list. -- TODO: when lean4#3107 is fixed, mark this as `@[simp]`.
Mathlib/GroupTheory/GroupAction/Pointwise.lean
58
60
theorem image_smul_setₛₗ : h '' (c • s) = σ c • h '' s := by
simp only [← image_smul, image_image, map_smulₛₗ h]
import Mathlib.Algebra.Module.Submodule.Localization import Mathlib.LinearAlgebra.Dimension.DivisionRing import Mathlib.RingTheory.Localization.FractionRing import Mathlib.RingTheory.OreLocalization.OreSet open Cardinal nonZeroDivisors section CommRing universe u u' v v' variable {R : Type u} (S : Type u') {M : Type v} {N : Type v'} variable [CommRing R] [CommRing S] [AddCommGroup M] [AddCommGroup N] variable [Module R M] [Module R N] [Algebra R S] [Module S N] [IsScalarTower R S N] variable (p : Submonoid R) [IsLocalization p S] (f : M →ₗ[R] N) [IsLocalizedModule p f] variable (hp : p ≤ R⁰) variable {S} in lemma IsLocalizedModule.linearIndependent_lift {ι} {v : ι → N} (hf : LinearIndependent S v) : ∃ w : ι → M, LinearIndependent R w := by choose sec hsec using IsLocalizedModule.surj p f use fun i ↦ (sec (v i)).1 rw [linearIndependent_iff'] at hf ⊢ intro t g hg i hit apply hp (sec (v i)).2.prop apply IsLocalization.injective S hp rw [map_zero] refine hf t (fun i ↦ algebraMap R S (g i * (sec (v i)).2)) ?_ _ hit simp only [map_mul, mul_smul, algebraMap_smul, ← Submonoid.smul_def, hsec, ← map_smul, ← map_sum, hg, map_zero] lemma IsLocalizedModule.lift_rank_eq : Cardinal.lift.{v} (Module.rank S N) = Cardinal.lift.{v'} (Module.rank R M) := by cases' subsingleton_or_nontrivial R · have := (algebraMap R S).codomain_trivial; simp only [rank_subsingleton, lift_one] have := (IsLocalization.injective S hp).nontrivial apply le_antisymm · rw [Module.rank_def, lift_iSup (bddAbove_range.{v', v'} _)] apply ciSup_le' intro ⟨s, hs⟩ exact (IsLocalizedModule.linearIndependent_lift p f hp hs).choose_spec.cardinal_lift_le_rank · rw [Module.rank_def, lift_iSup (bddAbove_range.{v, v} _)] apply ciSup_le' intro ⟨s, hs⟩ choose sec hsec using IsLocalization.surj p (S := S) refine LinearIndependent.cardinal_lift_le_rank (ι := s) (v := fun i ↦ f i) ?_ rw [linearIndependent_iff'] at hs ⊢ intro t g hg i hit apply (IsLocalization.map_units S (sec (g i)).2).mul_left_injective classical let u := fun (i : s) ↦ (t.erase i).prod (fun j ↦ (sec (g j)).2) have : f (t.sum fun i ↦ u i • (sec (g i)).1 • i) = f 0 := by convert congr_arg (t.prod (fun j ↦ (sec (g j)).2) • ·) hg · simp only [map_sum, map_smul, Submonoid.smul_def, Finset.smul_sum] apply Finset.sum_congr rfl intro j hj simp only [u, ← @IsScalarTower.algebraMap_smul R S N, Submonoid.coe_finset_prod, map_prod] rw [← hsec, mul_comm (g j), mul_smul, ← mul_smul, Finset.prod_erase_mul (h := hj)] rw [map_zero, smul_zero] obtain ⟨c, hc⟩ := IsLocalizedModule.exists_of_eq (S := p) this simp_rw [smul_zero, Finset.smul_sum, ← mul_smul, Submonoid.smul_def, ← mul_smul, mul_comm] at hc simp only [hsec, zero_mul, map_eq_zero_iff (algebraMap R S) (IsLocalization.injective S hp)] apply hp (c * u i).prop exact hs t _ hc _ hit lemma IsLocalizedModule.rank_eq {N : Type v} [AddCommGroup N] [Module R N] [Module S N] [IsScalarTower R S N] (f : M →ₗ[R] N) [IsLocalizedModule p f] : Module.rank S N = Module.rank R M := by simpa using IsLocalizedModule.lift_rank_eq S p f hp variable (R M) in
Mathlib/LinearAlgebra/Dimension/Localization.lean
85
93
theorem exists_set_linearIndependent_of_isDomain [IsDomain R] : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := by
obtain ⟨w, hw⟩ := IsLocalizedModule.linearIndependent_lift R⁰ (LocalizedModule.mkLinearMap R⁰ M) le_rfl (Module.Free.chooseBasis (FractionRing R) (LocalizedModule R⁰ M)).linearIndependent refine ⟨Set.range w, ?_, (linearIndependent_subtype_range hw.injective).mpr hw⟩ apply Cardinal.lift_injective.{max u v} rw [Cardinal.mk_range_eq_of_injective hw.injective, ← Module.Free.rank_eq_card_chooseBasisIndex, IsLocalizedModule.lift_rank_eq (FractionRing R) R⁰ (LocalizedModule.mkLinearMap R⁰ M) le_rfl]
import Mathlib.Topology.MetricSpace.ProperSpace import Mathlib.Topology.MetricSpace.Cauchy open Set Filter Bornology open scoped ENNReal Uniformity Topology Pointwise universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} variable [PseudoMetricSpace α] namespace Metric #align metric.bounded Bornology.IsBounded section Bounded variable {x : α} {s t : Set α} {r : ℝ} #noalign metric.bounded_iff_is_bounded #align metric.bounded_empty Bornology.isBounded_empty #align metric.bounded_iff_mem_bounded Bornology.isBounded_iff_forall_mem #align metric.bounded.mono Bornology.IsBounded.subset theorem isBounded_closedBall : IsBounded (closedBall x r) := isBounded_iff.2 ⟨r + r, fun y hy z hz => calc dist y z ≤ dist y x + dist z x := dist_triangle_right _ _ _ _ ≤ r + r := add_le_add hy hz⟩ #align metric.bounded_closed_ball Metric.isBounded_closedBall theorem isBounded_ball : IsBounded (ball x r) := isBounded_closedBall.subset ball_subset_closedBall #align metric.bounded_ball Metric.isBounded_ball theorem isBounded_sphere : IsBounded (sphere x r) := isBounded_closedBall.subset sphere_subset_closedBall #align metric.bounded_sphere Metric.isBounded_sphere theorem isBounded_iff_subset_closedBall (c : α) : IsBounded s ↔ ∃ r, s ⊆ closedBall c r := ⟨fun h ↦ (isBounded_iff.1 (h.insert c)).imp fun _r hr _x hx ↦ hr (.inr hx) (mem_insert _ _), fun ⟨_r, hr⟩ ↦ isBounded_closedBall.subset hr⟩ #align metric.bounded_iff_subset_ball Metric.isBounded_iff_subset_closedBall theorem _root_.Bornology.IsBounded.subset_closedBall (h : IsBounded s) (c : α) : ∃ r, s ⊆ closedBall c r := (isBounded_iff_subset_closedBall c).1 h #align metric.bounded.subset_ball Bornology.IsBounded.subset_closedBall theorem _root_.Bornology.IsBounded.subset_ball_lt (h : IsBounded s) (a : ℝ) (c : α) : ∃ r, a < r ∧ s ⊆ ball c r := let ⟨r, hr⟩ := h.subset_closedBall c ⟨max r a + 1, (le_max_right _ _).trans_lt (lt_add_one _), hr.trans <| closedBall_subset_ball <| (le_max_left _ _).trans_lt (lt_add_one _)⟩ theorem _root_.Bornology.IsBounded.subset_ball (h : IsBounded s) (c : α) : ∃ r, s ⊆ ball c r := (h.subset_ball_lt 0 c).imp fun _ ↦ And.right theorem isBounded_iff_subset_ball (c : α) : IsBounded s ↔ ∃ r, s ⊆ ball c r := ⟨(IsBounded.subset_ball · c), fun ⟨_r, hr⟩ ↦ isBounded_ball.subset hr⟩ theorem _root_.Bornology.IsBounded.subset_closedBall_lt (h : IsBounded s) (a : ℝ) (c : α) : ∃ r, a < r ∧ s ⊆ closedBall c r := let ⟨r, har, hr⟩ := h.subset_ball_lt a c ⟨r, har, hr.trans ball_subset_closedBall⟩ #align metric.bounded.subset_ball_lt Bornology.IsBounded.subset_closedBall_lt theorem isBounded_closure_of_isBounded (h : IsBounded s) : IsBounded (closure s) := let ⟨C, h⟩ := isBounded_iff.1 h isBounded_iff.2 ⟨C, fun _a ha _b hb => isClosed_Iic.closure_subset <| map_mem_closure₂ continuous_dist ha hb h⟩ #align metric.bounded_closure_of_bounded Metric.isBounded_closure_of_isBounded protected theorem _root_.Bornology.IsBounded.closure (h : IsBounded s) : IsBounded (closure s) := isBounded_closure_of_isBounded h #align metric.bounded.closure Bornology.IsBounded.closure @[simp] theorem isBounded_closure_iff : IsBounded (closure s) ↔ IsBounded s := ⟨fun h => h.subset subset_closure, fun h => h.closure⟩ #align metric.bounded_closure_iff Metric.isBounded_closure_iff #align metric.bounded_union Bornology.isBounded_union #align metric.bounded.union Bornology.IsBounded.union #align metric.bounded_bUnion Bornology.isBounded_biUnion #align metric.bounded.prod Bornology.IsBounded.prod theorem hasBasis_cobounded_compl_closedBall (c : α) : (cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (closedBall c r)ᶜ) := ⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_closedBall c).trans <| by simp⟩ theorem hasBasis_cobounded_compl_ball (c : α) : (cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (ball c r)ᶜ) := ⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_ball c).trans <| by simp⟩ @[simp] theorem comap_dist_right_atTop (c : α) : comap (dist · c) atTop = cobounded α := (atTop_basis.comap _).eq_of_same_basis <| by simpa only [compl_def, mem_ball, not_lt] using hasBasis_cobounded_compl_ball c @[simp] theorem comap_dist_left_atTop (c : α) : comap (dist c) atTop = cobounded α := by simpa only [dist_comm _ c] using comap_dist_right_atTop c @[simp] theorem tendsto_dist_right_atTop_iff (c : α) {f : β → α} {l : Filter β} : Tendsto (fun x ↦ dist (f x) c) l atTop ↔ Tendsto f l (cobounded α) := by rw [← comap_dist_right_atTop c, tendsto_comap_iff, Function.comp_def] @[simp] theorem tendsto_dist_left_atTop_iff (c : α) {f : β → α} {l : Filter β} : Tendsto (fun x ↦ dist c (f x)) l atTop ↔ Tendsto f l (cobounded α) := by simp only [dist_comm c, tendsto_dist_right_atTop_iff] theorem tendsto_dist_right_cobounded_atTop (c : α) : Tendsto (dist · c) (cobounded α) atTop := tendsto_iff_comap.2 (comap_dist_right_atTop c).ge theorem tendsto_dist_left_cobounded_atTop (c : α) : Tendsto (dist c) (cobounded α) atTop := tendsto_iff_comap.2 (comap_dist_left_atTop c).ge theorem _root_.TotallyBounded.isBounded {s : Set α} (h : TotallyBounded s) : IsBounded s := -- We cover the totally bounded set by finitely many balls of radius 1, -- and then argue that a finite union of bounded sets is bounded let ⟨_t, fint, subs⟩ := (totallyBounded_iff.mp h) 1 zero_lt_one ((isBounded_biUnion fint).2 fun _ _ => isBounded_ball).subset subs #align totally_bounded.bounded TotallyBounded.isBounded theorem _root_.IsCompact.isBounded {s : Set α} (h : IsCompact s) : IsBounded s := -- A compact set is totally bounded, thus bounded h.totallyBounded.isBounded #align is_compact.bounded IsCompact.isBounded #align metric.bounded_of_finite Set.Finite.isBounded #align set.finite.bounded Set.Finite.isBounded #align metric.bounded_singleton Bornology.isBounded_singleton theorem cobounded_le_cocompact : cobounded α ≤ cocompact α := hasBasis_cocompact.ge_iff.2 fun _s hs ↦ hs.isBounded #align comap_dist_right_at_top_le_cocompact Metric.cobounded_le_cocompactₓ #align comap_dist_left_at_top_le_cocompact Metric.cobounded_le_cocompactₓ theorem isCobounded_iff_closedBall_compl_subset {s : Set α} (c : α) : IsCobounded s ↔ ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := by rw [← isBounded_compl_iff, isBounded_iff_subset_closedBall c] apply exists_congr intro r rw [compl_subset_comm] theorem _root_.Bornology.IsCobounded.closedBall_compl_subset {s : Set α} (hs : IsCobounded s) (c : α) : ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := (isCobounded_iff_closedBall_compl_subset c).mp hs theorem closedBall_compl_subset_of_mem_cocompact {s : Set α} (hs : s ∈ cocompact α) (c : α) : ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := IsCobounded.closedBall_compl_subset (cobounded_le_cocompact hs) c theorem mem_cocompact_of_closedBall_compl_subset [ProperSpace α] (c : α) (h : ∃ r, (closedBall c r)ᶜ ⊆ s) : s ∈ cocompact α := by rcases h with ⟨r, h⟩ rw [Filter.mem_cocompact] exact ⟨closedBall c r, isCompact_closedBall c r, h⟩ theorem mem_cocompact_iff_closedBall_compl_subset [ProperSpace α] (c : α) : s ∈ cocompact α ↔ ∃ r, (closedBall c r)ᶜ ⊆ s := ⟨(closedBall_compl_subset_of_mem_cocompact · _), mem_cocompact_of_closedBall_compl_subset _⟩ theorem isBounded_range_iff {f : β → α} : IsBounded (range f) ↔ ∃ C, ∀ x y, dist (f x) (f y) ≤ C := isBounded_iff.trans <| by simp only [forall_mem_range] #align metric.bounded_range_iff Metric.isBounded_range_iff theorem isBounded_image_iff {f : β → α} {s : Set β} : IsBounded (f '' s) ↔ ∃ C, ∀ x ∈ s, ∀ y ∈ s, dist (f x) (f y) ≤ C := isBounded_iff.trans <| by simp only [forall_mem_image] theorem isBounded_range_of_tendsto_cofinite_uniformity {f : β → α} (hf : Tendsto (Prod.map f f) (.cofinite ×ˢ .cofinite) (𝓤 α)) : IsBounded (range f) := by rcases (hasBasis_cofinite.prod_self.tendsto_iff uniformity_basis_dist).1 hf 1 zero_lt_one with ⟨s, hsf, hs1⟩ rw [← image_union_image_compl_eq_range] refine (hsf.image f).isBounded.union (isBounded_image_iff.2 ⟨1, fun x hx y hy ↦ ?_⟩) exact le_of_lt (hs1 (x, y) ⟨hx, hy⟩) #align metric.bounded_range_of_tendsto_cofinite_uniformity Metric.isBounded_range_of_tendsto_cofinite_uniformity theorem isBounded_range_of_cauchy_map_cofinite {f : β → α} (hf : Cauchy (map f cofinite)) : IsBounded (range f) := isBounded_range_of_tendsto_cofinite_uniformity <| (cauchy_map_iff.1 hf).2 #align metric.bounded_range_of_cauchy_map_cofinite Metric.isBounded_range_of_cauchy_map_cofinite theorem _root_.CauchySeq.isBounded_range {f : ℕ → α} (hf : CauchySeq f) : IsBounded (range f) := isBounded_range_of_cauchy_map_cofinite <| by rwa [Nat.cofinite_eq_atTop] #align cauchy_seq.bounded_range CauchySeq.isBounded_range theorem isBounded_range_of_tendsto_cofinite {f : β → α} {a : α} (hf : Tendsto f cofinite (𝓝 a)) : IsBounded (range f) := isBounded_range_of_tendsto_cofinite_uniformity <| (hf.prod_map hf).mono_right <| nhds_prod_eq.symm.trans_le (nhds_le_uniformity a) #align metric.bounded_range_of_tendsto_cofinite Metric.isBounded_range_of_tendsto_cofinite theorem isBounded_of_compactSpace [CompactSpace α] : IsBounded s := isCompact_univ.isBounded.subset (subset_univ _) #align metric.bounded_of_compact_space Metric.isBounded_of_compactSpace theorem isBounded_range_of_tendsto (u : ℕ → α) {x : α} (hu : Tendsto u atTop (𝓝 x)) : IsBounded (range u) := hu.cauchySeq.isBounded_range #align metric.bounded_range_of_tendsto Metric.isBounded_range_of_tendsto theorem disjoint_nhds_cobounded (x : α) : Disjoint (𝓝 x) (cobounded α) := disjoint_of_disjoint_of_mem disjoint_compl_right (ball_mem_nhds _ one_pos) isBounded_ball theorem disjoint_cobounded_nhds (x : α) : Disjoint (cobounded α) (𝓝 x) := (disjoint_nhds_cobounded x).symm theorem disjoint_nhdsSet_cobounded {s : Set α} (hs : IsCompact s) : Disjoint (𝓝ˢ s) (cobounded α) := hs.disjoint_nhdsSet_left.2 fun _ _ ↦ disjoint_nhds_cobounded _ theorem disjoint_cobounded_nhdsSet {s : Set α} (hs : IsCompact s) : Disjoint (cobounded α) (𝓝ˢ s) := (disjoint_nhdsSet_cobounded hs).symm theorem exists_isBounded_image_of_tendsto {α β : Type*} [PseudoMetricSpace β] {l : Filter α} {f : α → β} {x : β} (hf : Tendsto f l (𝓝 x)) : ∃ s ∈ l, IsBounded (f '' s) := (l.basis_sets.map f).disjoint_iff_left.mp <| (disjoint_nhds_cobounded x).mono_left hf theorem exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt [TopologicalSpace β] {k s : Set β} {f : β → α} (hk : IsCompact k) (hf : ∀ x ∈ k, ContinuousWithinAt f s x) : ∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' (t ∩ s)) := by have : Disjoint (𝓝ˢ k ⊓ 𝓟 s) (comap f (cobounded α)) := by rw [disjoint_assoc, inf_comm, hk.disjoint_nhdsSet_left] exact fun x hx ↦ disjoint_left_comm.2 <| tendsto_comap.disjoint (disjoint_cobounded_nhds _) (hf x hx) rcases ((((hasBasis_nhdsSet _).inf_principal _)).disjoint_iff ((basis_sets _).comap _)).1 this with ⟨U, ⟨hUo, hkU⟩, t, ht, hd⟩ refine ⟨U, hkU, hUo, (isBounded_compl_iff.2 ht).subset ?_⟩ rwa [image_subset_iff, preimage_compl, subset_compl_iff_disjoint_right] #align metric.exists_is_open_bounded_image_inter_of_is_compact_of_forall_continuous_within_at Metric.exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt theorem exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt [TopologicalSpace β] {k : Set β} {f : β → α} (hk : IsCompact k) (hf : ∀ x ∈ k, ContinuousAt f x) : ∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' t) := by simp_rw [← continuousWithinAt_univ] at hf simpa only [inter_univ] using exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt hk hf #align metric.exists_is_open_bounded_image_of_is_compact_of_forall_continuous_at Metric.exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt theorem exists_isOpen_isBounded_image_inter_of_isCompact_of_continuousOn [TopologicalSpace β] {k s : Set β} {f : β → α} (hk : IsCompact k) (hks : k ⊆ s) (hf : ContinuousOn f s) : ∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' (t ∩ s)) := exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt hk fun x hx => hf x (hks hx) #align metric.exists_is_open_bounded_image_inter_of_is_compact_of_continuous_on Metric.exists_isOpen_isBounded_image_inter_of_isCompact_of_continuousOn theorem exists_isOpen_isBounded_image_of_isCompact_of_continuousOn [TopologicalSpace β] {k s : Set β} {f : β → α} (hk : IsCompact k) (hs : IsOpen s) (hks : k ⊆ s) (hf : ContinuousOn f s) : ∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' t) := exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt hk fun _x hx => hf.continuousAt (hs.mem_nhds (hks hx)) #align metric.exists_is_open_bounded_image_of_is_compact_of_continuous_on Metric.exists_isOpen_isBounded_image_of_isCompact_of_continuousOn
Mathlib/Topology/MetricSpace/Bounded.lean
305
310
theorem isCompact_of_isClosed_isBounded [ProperSpace α] (hc : IsClosed s) (hb : IsBounded s) : IsCompact s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, -⟩) · exact isCompact_empty · rcases hb.subset_closedBall x with ⟨r, hr⟩ exact (isCompact_closedBall x r).of_isClosed_subset hc hr
import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Order.Filter.IndicatorFunction open MeasureTheory section DominatedConvergenceTheorem open Set Filter TopologicalSpace ENNReal open scoped Topology namespace MeasureTheory variable {α E G: Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup G] [NormedSpace ℝ G] {f g : α → E} {m : MeasurableSpace α} {μ : Measure α} theorem tendsto_integral_of_dominated_convergence {F : ℕ → α → G} {f : α → G} (bound : α → ℝ) (F_measurable : ∀ n, AEStronglyMeasurable (F n) μ) (bound_integrable : Integrable bound μ) (h_bound : ∀ n, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound a) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) atTop (𝓝 (f a))) : Tendsto (fun n => ∫ a, F n a ∂μ) atTop (𝓝 <| ∫ a, f a ∂μ) := by by_cases hG : CompleteSpace G · simp only [integral, hG, L1.integral] exact tendsto_setToFun_of_dominated_convergence (dominatedFinMeasAdditive_weightedSMul μ) bound F_measurable bound_integrable h_bound h_lim · simp [integral, hG] #align measure_theory.tendsto_integral_of_dominated_convergence MeasureTheory.tendsto_integral_of_dominated_convergence theorem tendsto_integral_filter_of_dominated_convergence {ι} {l : Filter ι} [l.IsCountablyGenerated] {F : ι → α → G} {f : α → G} (bound : α → ℝ) (hF_meas : ∀ᶠ n in l, AEStronglyMeasurable (F n) μ) (h_bound : ∀ᶠ n in l, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound a) (bound_integrable : Integrable bound μ) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) l (𝓝 (f a))) : Tendsto (fun n => ∫ a, F n a ∂μ) l (𝓝 <| ∫ a, f a ∂μ) := by by_cases hG : CompleteSpace G · simp only [integral, hG, L1.integral] exact tendsto_setToFun_filter_of_dominated_convergence (dominatedFinMeasAdditive_weightedSMul μ) bound hF_meas h_bound bound_integrable h_lim · simp [integral, hG, tendsto_const_nhds] #align measure_theory.tendsto_integral_filter_of_dominated_convergence MeasureTheory.tendsto_integral_filter_of_dominated_convergence theorem hasSum_integral_of_dominated_convergence {ι} [Countable ι] {F : ι → α → G} {f : α → G} (bound : ι → α → ℝ) (hF_meas : ∀ n, AEStronglyMeasurable (F n) μ) (h_bound : ∀ n, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound n a) (bound_summable : ∀ᵐ a ∂μ, Summable fun n => bound n a) (bound_integrable : Integrable (fun a => ∑' n, bound n a) μ) (h_lim : ∀ᵐ a ∂μ, HasSum (fun n => F n a) (f a)) : HasSum (fun n => ∫ a, F n a ∂μ) (∫ a, f a ∂μ) := by have hb_nonneg : ∀ᵐ a ∂μ, ∀ n, 0 ≤ bound n a := eventually_countable_forall.2 fun n => (h_bound n).mono fun a => (norm_nonneg _).trans have hb_le_tsum : ∀ n, bound n ≤ᵐ[μ] fun a => ∑' n, bound n a := by intro n filter_upwards [hb_nonneg, bound_summable] with _ ha0 ha_sum using le_tsum ha_sum _ fun i _ => ha0 i have hF_integrable : ∀ n, Integrable (F n) μ := by refine fun n => bound_integrable.mono' (hF_meas n) ?_ exact EventuallyLE.trans (h_bound n) (hb_le_tsum n) simp only [HasSum, ← integral_finset_sum _ fun n _ => hF_integrable n] refine tendsto_integral_filter_of_dominated_convergence (fun a => ∑' n, bound n a) ?_ ?_ bound_integrable h_lim · exact eventually_of_forall fun s => s.aestronglyMeasurable_sum fun n _ => hF_meas n · filter_upwards with s filter_upwards [eventually_countable_forall.2 h_bound, hb_nonneg, bound_summable] with a hFa ha0 has calc ‖∑ n ∈ s, F n a‖ ≤ ∑ n ∈ s, bound n a := norm_sum_le_of_le _ fun n _ => hFa n _ ≤ ∑' n, bound n a := sum_le_tsum _ (fun n _ => ha0 n) has #align measure_theory.has_sum_integral_of_dominated_convergence MeasureTheory.hasSum_integral_of_dominated_convergence
Mathlib/MeasureTheory/Integral/DominatedConvergence.lean
107
137
theorem integral_tsum {ι} [Countable ι] {f : ι → α → G} (hf : ∀ i, AEStronglyMeasurable (f i) μ) (hf' : ∑' i, ∫⁻ a : α, ‖f i a‖₊ ∂μ ≠ ∞) : ∫ a : α, ∑' i, f i a ∂μ = ∑' i, ∫ a : α, f i a ∂μ := by
by_cases hG : CompleteSpace G; swap · simp [integral, hG] have hf'' : ∀ i, AEMeasurable (fun x => (‖f i x‖₊ : ℝ≥0∞)) μ := fun i => (hf i).ennnorm have hhh : ∀ᵐ a : α ∂μ, Summable fun n => (‖f n a‖₊ : ℝ) := by rw [← lintegral_tsum hf''] at hf' refine (ae_lt_top' (AEMeasurable.ennreal_tsum hf'') hf').mono ?_ intro x hx rw [← ENNReal.tsum_coe_ne_top_iff_summable_coe] exact hx.ne convert (MeasureTheory.hasSum_integral_of_dominated_convergence (fun i a => ‖f i a‖₊) hf _ hhh ⟨_, _⟩ _).tsum_eq.symm · intro n filter_upwards with x rfl · simp_rw [← NNReal.coe_tsum] rw [aestronglyMeasurable_iff_aemeasurable] apply AEMeasurable.coe_nnreal_real apply AEMeasurable.nnreal_tsum exact fun i => (hf i).nnnorm.aemeasurable · dsimp [HasFiniteIntegral] have : ∫⁻ a, ∑' n, ‖f n a‖₊ ∂μ < ⊤ := by rwa [lintegral_tsum hf'', lt_top_iff_ne_top] convert this using 1 apply lintegral_congr_ae simp_rw [← coe_nnnorm, ← NNReal.coe_tsum, NNReal.nnnorm_eq] filter_upwards [hhh] with a ha exact ENNReal.coe_tsum (NNReal.summable_coe.mp ha) · filter_upwards [hhh] with x hx exact hx.of_norm.hasSum
import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Rearrangement import Mathlib.Algebra.Order.Ring.Basic import Mathlib.GroupTheory.Perm.Cycle.Basic #align_import algebra.order.chebyshev from "leanprover-community/mathlib"@"b7399344324326918d65d0c74e9571e3a8cb9199" open Equiv Equiv.Perm Finset Function OrderDual variable {ι α β : Type*} section SMul variable [LinearOrderedRing α] [LinearOrderedAddCommGroup β] [Module α β] [OrderedSMul α β] {s : Finset ι} {σ : Perm ι} {f : ι → α} {g : ι → β} theorem MonovaryOn.sum_smul_sum_le_card_smul_sum (hfg : MonovaryOn f g s) : ((∑ i ∈ s, f i) • ∑ i ∈ s, g i) ≤ s.card • ∑ i ∈ s, f i • g i := by classical obtain ⟨σ, hσ, hs⟩ := s.countable_toSet.exists_cycleOn rw [← card_range s.card, sum_smul_sum_eq_sum_perm hσ] exact sum_le_card_nsmul _ _ _ fun n _ => hfg.sum_smul_comp_perm_le_sum_smul fun x hx => hs fun h => hx <| IsFixedPt.perm_pow h _ #align monovary_on.sum_smul_sum_le_card_smul_sum MonovaryOn.sum_smul_sum_le_card_smul_sum
Mathlib/Algebra/Order/Chebyshev.lean
70
72
theorem AntivaryOn.card_smul_sum_le_sum_smul_sum (hfg : AntivaryOn f g s) : (s.card • ∑ i ∈ s, f i • g i) ≤ (∑ i ∈ s, f i) • ∑ i ∈ s, g i := by
exact hfg.dual_right.sum_smul_sum_le_card_smul_sum
import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Equiv import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.Monotone import Mathlib.Data.Set.Function import Mathlib.Algebra.Group.Basic import Mathlib.Tactic.WLOG #align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open scoped NNReal ENNReal Topology UniformConvergence open Set MeasureTheory Filter -- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E] noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ := ⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s }, ∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i)) #align evariation_on eVariationOn def BoundedVariationOn (f : α → E) (s : Set α) := eVariationOn f s ≠ ∞ #align has_bounded_variation_on BoundedVariationOn def LocallyBoundedVariationOn (f : α → E) (s : Set α) := ∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b) #align has_locally_bounded_variation_on LocallyBoundedVariationOn namespace eVariationOn theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by obtain ⟨x, hx⟩ := hs exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩ #align evariation_on.nonempty_monotone_mem eVariationOn.nonempty_monotone_mem theorem eq_of_edist_zero_on {f f' : α → E} {s : Set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) : eVariationOn f s = eVariationOn f' s := by dsimp only [eVariationOn] congr 1 with p : 1 congr 1 with i : 1 rw [edist_congr_right (h <| p.snd.prop.2 (i + 1)), edist_congr_left (h <| p.snd.prop.2 i)] #align evariation_on.eq_of_edist_zero_on eVariationOn.eq_of_edist_zero_on theorem eq_of_eqOn {f f' : α → E} {s : Set α} (h : EqOn f f' s) : eVariationOn f s = eVariationOn f' s := eq_of_edist_zero_on fun x xs => by rw [h xs, edist_self] #align evariation_on.eq_of_eq_on eVariationOn.eq_of_eqOn theorem sum_le (f : α → E) {s : Set α} (n : ℕ) {u : ℕ → α} (hu : Monotone u) (us : ∀ i, u i ∈ s) : (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := le_iSup_of_le ⟨n, u, hu, us⟩ le_rfl #align evariation_on.sum_le eVariationOn.sum_le theorem sum_le_of_monotoneOn_Icc (f : α → E) {s : Set α} {m n : ℕ} {u : ℕ → α} (hu : MonotoneOn u (Icc m n)) (us : ∀ i ∈ Icc m n, u i ∈ s) : (∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by rcases le_total n m with hnm | hmn · simp [Finset.Ico_eq_empty_of_le hnm] let π := projIcc m n hmn let v i := u (π i) calc ∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i)) = ∑ i ∈ Finset.Ico m n, edist (f (v (i + 1))) (f (v i)) := Finset.sum_congr rfl fun i hi ↦ by rw [Finset.mem_Ico] at hi simp only [v, π, projIcc_of_mem hmn ⟨hi.1, hi.2.le⟩, projIcc_of_mem hmn ⟨hi.1.trans i.le_succ, hi.2⟩] _ ≤ ∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) := Finset.sum_mono_set _ (Nat.Iio_eq_range ▸ Finset.Ico_subset_Iio_self) _ ≤ eVariationOn f s := sum_le _ _ (fun i j h ↦ hu (π i).2 (π j).2 (monotone_projIcc hmn h)) fun i ↦ us _ (π i).2 #align evariation_on.sum_le_of_monotone_on_Icc eVariationOn.sum_le_of_monotoneOn_Icc theorem sum_le_of_monotoneOn_Iic (f : α → E) {s : Set α} {n : ℕ} {u : ℕ → α} (hu : MonotoneOn u (Iic n)) (us : ∀ i ≤ n, u i ∈ s) : (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by simpa using sum_le_of_monotoneOn_Icc f (m := 0) (hu.mono Icc_subset_Iic_self) fun i hi ↦ us i hi.2 #align evariation_on.sum_le_of_monotone_on_Iic eVariationOn.sum_le_of_monotoneOn_Iic theorem mono (f : α → E) {s t : Set α} (hst : t ⊆ s) : eVariationOn f t ≤ eVariationOn f s := by apply iSup_le _ rintro ⟨n, ⟨u, hu, ut⟩⟩ exact sum_le f n hu fun i => hst (ut i) #align evariation_on.mono eVariationOn.mono theorem _root_.BoundedVariationOn.mono {f : α → E} {s : Set α} (h : BoundedVariationOn f s) {t : Set α} (ht : t ⊆ s) : BoundedVariationOn f t := ne_top_of_le_ne_top h (eVariationOn.mono f ht) #align has_bounded_variation_on.mono BoundedVariationOn.mono theorem _root_.BoundedVariationOn.locallyBoundedVariationOn {f : α → E} {s : Set α} (h : BoundedVariationOn f s) : LocallyBoundedVariationOn f s := fun _ _ _ _ => h.mono inter_subset_left #align has_bounded_variation_on.has_locally_bounded_variation_on BoundedVariationOn.locallyBoundedVariationOn theorem edist_le (f : α → E) {s : Set α} {x y : α} (hx : x ∈ s) (hy : y ∈ s) : edist (f x) (f y) ≤ eVariationOn f s := by wlog hxy : y ≤ x generalizing x y · rw [edist_comm] exact this hy hx (le_of_not_le hxy) let u : ℕ → α := fun n => if n = 0 then y else x have hu : Monotone u := monotone_nat_of_le_succ fun | 0 => hxy | (_ + 1) => le_rfl have us : ∀ i, u i ∈ s := fun | 0 => hy | (_ + 1) => hx simpa only [Finset.sum_range_one] using sum_le f 1 hu us #align evariation_on.edist_le eVariationOn.edist_le theorem eq_zero_iff (f : α → E) {s : Set α} : eVariationOn f s = 0 ↔ ∀ x ∈ s, ∀ y ∈ s, edist (f x) (f y) = 0 := by constructor · rintro h x xs y ys rw [← le_zero_iff, ← h] exact edist_le f xs ys · rintro h dsimp only [eVariationOn] rw [ENNReal.iSup_eq_zero] rintro ⟨n, u, um, us⟩ exact Finset.sum_eq_zero fun i _ => h _ (us i.succ) _ (us i) #align evariation_on.eq_zero_iff eVariationOn.eq_zero_iff theorem constant_on {f : α → E} {s : Set α} (hf : (f '' s).Subsingleton) : eVariationOn f s = 0 := by rw [eq_zero_iff] rintro x xs y ys rw [hf ⟨x, xs, rfl⟩ ⟨y, ys, rfl⟩, edist_self] #align evariation_on.constant_on eVariationOn.constant_on @[simp] protected theorem subsingleton (f : α → E) {s : Set α} (hs : s.Subsingleton) : eVariationOn f s = 0 := constant_on (hs.image f) #align evariation_on.subsingleton eVariationOn.subsingleton theorem lowerSemicontinuous_aux {ι : Type*} {F : ι → α → E} {p : Filter ι} {f : α → E} {s : Set α} (Ffs : ∀ x ∈ s, Tendsto (fun i => F i x) p (𝓝 (f x))) {v : ℝ≥0∞} (hv : v < eVariationOn f s) : ∀ᶠ n : ι in p, v < eVariationOn (F n) s := by obtain ⟨⟨n, ⟨u, um, us⟩⟩, hlt⟩ : ∃ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s }, v < ∑ i ∈ Finset.range p.1, edist (f ((p.2 : ℕ → α) (i + 1))) (f ((p.2 : ℕ → α) i)) := lt_iSup_iff.mp hv have : Tendsto (fun j => ∑ i ∈ Finset.range n, edist (F j (u (i + 1))) (F j (u i))) p (𝓝 (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i)))) := by apply tendsto_finset_sum exact fun i _ => Tendsto.edist (Ffs (u i.succ) (us i.succ)) (Ffs (u i) (us i)) exact (eventually_gt_of_tendsto_gt hlt this).mono fun i h => h.trans_le (sum_le (F i) n um us) #align evariation_on.lower_continuous_aux eVariationOn.lowerSemicontinuous_aux protected theorem lowerSemicontinuous (s : Set α) : LowerSemicontinuous fun f : α →ᵤ[s.image singleton] E => eVariationOn f s := fun f ↦ by apply @lowerSemicontinuous_aux _ _ _ _ (UniformOnFun α E (s.image singleton)) id (𝓝 f) f s _ simpa only [UniformOnFun.tendsto_iff_tendstoUniformlyOn, mem_image, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂, tendstoUniformlyOn_singleton_iff_tendsto] using @tendsto_id _ (𝓝 f) #align evariation_on.lower_semicontinuous eVariationOn.lowerSemicontinuous theorem lowerSemicontinuous_uniformOn (s : Set α) : LowerSemicontinuous fun f : α →ᵤ[{s}] E => eVariationOn f s := fun f ↦ by apply @lowerSemicontinuous_aux _ _ _ _ (UniformOnFun α E {s}) id (𝓝 f) f s _ have := @tendsto_id _ (𝓝 f) rw [UniformOnFun.tendsto_iff_tendstoUniformlyOn] at this simp_rw [← tendstoUniformlyOn_singleton_iff_tendsto] exact fun x xs => (this s rfl).mono (singleton_subset_iff.mpr xs) #align evariation_on.lower_semicontinuous_uniform_on eVariationOn.lowerSemicontinuous_uniformOn theorem _root_.BoundedVariationOn.dist_le {E : Type*} [PseudoMetricSpace E] {f : α → E} {s : Set α} (h : BoundedVariationOn f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) : dist (f x) (f y) ≤ (eVariationOn f s).toReal := by rw [← ENNReal.ofReal_le_ofReal_iff ENNReal.toReal_nonneg, ENNReal.ofReal_toReal h, ← edist_dist] exact edist_le f hx hy #align has_bounded_variation_on.dist_le BoundedVariationOn.dist_le theorem _root_.BoundedVariationOn.sub_le {f : α → ℝ} {s : Set α} (h : BoundedVariationOn f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) : f x - f y ≤ (eVariationOn f s).toReal := by apply (le_abs_self _).trans rw [← Real.dist_eq] exact h.dist_le hx hy #align has_bounded_variation_on.sub_le BoundedVariationOn.sub_le theorem add_point (f : α → E) {s : Set α} {x : α} (hx : x ∈ s) (u : ℕ → α) (hu : Monotone u) (us : ∀ i, u i ∈ s) (n : ℕ) : ∃ (v : ℕ → α) (m : ℕ), Monotone v ∧ (∀ i, v i ∈ s) ∧ x ∈ v '' Iio m ∧ (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ ∑ j ∈ Finset.range m, edist (f (v (j + 1))) (f (v j)) := by rcases le_or_lt (u n) x with (h | h) · let v i := if i ≤ n then u i else x have vs : ∀ i, v i ∈ s := fun i ↦ by simp only [v] split_ifs · exact us i · exact hx have hv : Monotone v := by refine monotone_nat_of_le_succ fun i => ?_ simp only [v] rcases lt_trichotomy i n with (hi | rfl | hi) · have : i + 1 ≤ n := Nat.succ_le_of_lt hi simp only [hi.le, this, if_true] exact hu (Nat.le_succ i) · simp only [le_refl, if_true, add_le_iff_nonpos_right, Nat.le_zero, Nat.one_ne_zero, if_false, h] · have A : ¬i ≤ n := hi.not_le have B : ¬i + 1 ≤ n := fun h => A (i.le_succ.trans h) simp only [A, B, if_false, le_rfl] refine ⟨v, n + 2, hv, vs, (mem_image _ _ _).2 ⟨n + 1, ?_, ?_⟩, ?_⟩ · rw [mem_Iio]; exact Nat.lt_succ_self (n + 1) · have : ¬n + 1 ≤ n := Nat.not_succ_le_self n simp only [v, this, ite_eq_right_iff, IsEmpty.forall_iff] · calc (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) = ∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) := by apply Finset.sum_congr rfl fun i hi => ?_ simp only [Finset.mem_range] at hi have : i + 1 ≤ n := Nat.succ_le_of_lt hi simp only [v, hi.le, this, if_true] _ ≤ ∑ j ∈ Finset.range (n + 2), edist (f (v (j + 1))) (f (v j)) := Finset.sum_le_sum_of_subset (Finset.range_mono (Nat.le_add_right n 2)) have exists_N : ∃ N, N ≤ n ∧ x < u N := ⟨n, le_rfl, h⟩ let N := Nat.find exists_N have hN : N ≤ n ∧ x < u N := Nat.find_spec exists_N let w : ℕ → α := fun i => if i < N then u i else if i = N then x else u (i - 1) have ws : ∀ i, w i ∈ s := by dsimp only [w] intro i split_ifs exacts [us _, hx, us _] have hw : Monotone w := by apply monotone_nat_of_le_succ fun i => ?_ dsimp only [w] rcases lt_trichotomy (i + 1) N with (hi | hi | hi) · have : i < N := Nat.lt_of_le_of_lt (Nat.le_succ i) hi simp only [hi, this, if_true] exact hu (Nat.le_succ _) · have A : i < N := hi ▸ i.lt_succ_self have B : ¬i + 1 < N := by rw [← hi]; exact fun h => h.ne rfl rw [if_pos A, if_neg B, if_pos hi] have T := Nat.find_min exists_N A push_neg at T exact T (A.le.trans hN.1) · have A : ¬i < N := (Nat.lt_succ_iff.mp hi).not_lt have B : ¬i + 1 < N := hi.not_lt have C : ¬i + 1 = N := hi.ne.symm have D : i + 1 - 1 = i := Nat.pred_succ i rw [if_neg A, if_neg B, if_neg C, D] split_ifs · exact hN.2.le.trans (hu (le_of_not_lt A)) · exact hu (Nat.pred_le _) refine ⟨w, n + 1, hw, ws, (mem_image _ _ _).2 ⟨N, hN.1.trans_lt (Nat.lt_succ_self n), ?_⟩, ?_⟩ · dsimp only [w]; rw [if_neg (lt_irrefl N), if_pos rfl] rcases eq_or_lt_of_le (zero_le N) with (Npos | Npos) · calc (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) = ∑ i ∈ Finset.range n, edist (f (w (1 + i + 1))) (f (w (1 + i))) := by apply Finset.sum_congr rfl fun i _hi => ?_ dsimp only [w] simp only [← Npos, Nat.not_lt_zero, Nat.add_succ_sub_one, add_zero, if_false, add_eq_zero_iff, Nat.one_ne_zero, false_and_iff, Nat.succ_add_sub_one, zero_add] rw [add_comm 1 i] _ = ∑ i ∈ Finset.Ico 1 (n + 1), edist (f (w (i + 1))) (f (w i)) := by rw [Finset.range_eq_Ico] exact Finset.sum_Ico_add (fun i => edist (f (w (i + 1))) (f (w i))) 0 n 1 _ ≤ ∑ j ∈ Finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) := by apply Finset.sum_le_sum_of_subset _ rw [Finset.range_eq_Ico] exact Finset.Ico_subset_Ico zero_le_one le_rfl · calc (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) = ((∑ i ∈ Finset.Ico 0 (N - 1), edist (f (u (i + 1))) (f (u i))) + ∑ i ∈ Finset.Ico (N - 1) N, edist (f (u (i + 1))) (f (u i))) + ∑ i ∈ Finset.Ico N n, edist (f (u (i + 1))) (f (u i)) := by rw [Finset.sum_Ico_consecutive, Finset.sum_Ico_consecutive, Finset.range_eq_Ico] · exact zero_le _ · exact hN.1 · exact zero_le _ · exact Nat.pred_le _ _ = (∑ i ∈ Finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i))) + edist (f (u N)) (f (u (N - 1))) + ∑ i ∈ Finset.Ico N n, edist (f (w (1 + i + 1))) (f (w (1 + i))) := by congr 1 · congr 1 · apply Finset.sum_congr rfl fun i hi => ?_ simp only [Finset.mem_Ico, zero_le', true_and_iff] at hi dsimp only [w] have A : i + 1 < N := Nat.lt_pred_iff.1 hi have B : i < N := Nat.lt_of_succ_lt A rw [if_pos A, if_pos B] · have A : N - 1 + 1 = N := Nat.succ_pred_eq_of_pos Npos have : Finset.Ico (N - 1) N = {N - 1} := by rw [← Nat.Ico_succ_singleton, A] simp only [this, A, Finset.sum_singleton] · apply Finset.sum_congr rfl fun i hi => ?_ rw [Finset.mem_Ico] at hi dsimp only [w] have A : ¬1 + i + 1 < N := by omega have B : ¬1 + i + 1 = N := by omega have C : ¬1 + i < N := by omega have D : ¬1 + i = N := by omega rw [if_neg A, if_neg B, if_neg C, if_neg D] congr 3 <;> · rw [add_comm, Nat.sub_one]; apply Nat.pred_succ _ = (∑ i ∈ Finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i))) + edist (f (w (N + 1))) (f (w (N - 1))) + ∑ i ∈ Finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w i)) := by congr 1 · congr 1 · dsimp only [w] have A : ¬N + 1 < N := Nat.not_succ_lt_self have B : N - 1 < N := Nat.pred_lt Npos.ne' simp only [A, not_and, not_lt, Nat.succ_ne_self, Nat.add_succ_sub_one, add_zero, if_false, B, if_true] · exact Finset.sum_Ico_add (fun i => edist (f (w (i + 1))) (f (w i))) N n 1 _ ≤ ((∑ i ∈ Finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i))) + ∑ i ∈ Finset.Ico (N - 1) (N + 1), edist (f (w (i + 1))) (f (w i))) + ∑ i ∈ Finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w i)) := by refine add_le_add (add_le_add le_rfl ?_) le_rfl have A : N - 1 + 1 = N := Nat.succ_pred_eq_of_pos Npos have B : N - 1 + 1 < N + 1 := A.symm ▸ N.lt_succ_self have C : N - 1 < N + 1 := lt_of_le_of_lt N.pred_le N.lt_succ_self rw [Finset.sum_eq_sum_Ico_succ_bot C, Finset.sum_eq_sum_Ico_succ_bot B, A, Finset.Ico_self, Finset.sum_empty, add_zero, add_comm (edist _ _)] exact edist_triangle _ _ _ _ = ∑ j ∈ Finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) := by rw [Finset.sum_Ico_consecutive, Finset.sum_Ico_consecutive, Finset.range_eq_Ico] · exact zero_le _ · exact Nat.succ_le_succ hN.left · exact zero_le _ · exact N.pred_le.trans N.le_succ #align evariation_on.add_point eVariationOn.add_point theorem add_le_union (f : α → E) {s t : Set α} (h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y) : eVariationOn f s + eVariationOn f t ≤ eVariationOn f (s ∪ t) := by by_cases hs : s = ∅ · simp [hs] have : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := nonempty_monotone_mem (nonempty_iff_ne_empty.2 hs) by_cases ht : t = ∅ · simp [ht] have : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ t } := nonempty_monotone_mem (nonempty_iff_ne_empty.2 ht) refine ENNReal.iSup_add_iSup_le ?_ rintro ⟨n, ⟨u, hu, us⟩⟩ ⟨m, ⟨v, hv, vt⟩⟩ let w i := if i ≤ n then u i else v (i - (n + 1)) have wst : ∀ i, w i ∈ s ∪ t := by intro i by_cases hi : i ≤ n · simp [w, hi, us] · simp [w, hi, vt] have hw : Monotone w := by intro i j hij dsimp only [w] split_ifs with h_1 h_2 h_2 · exact hu hij · apply h _ (us _) _ (vt _) · exfalso; exact h_1 (hij.trans h_2) · apply hv (tsub_le_tsub hij le_rfl) calc ((∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) + ∑ i ∈ Finset.range m, edist (f (v (i + 1))) (f (v i))) = (∑ i ∈ Finset.range n, edist (f (w (i + 1))) (f (w i))) + ∑ i ∈ Finset.range m, edist (f (w (n + 1 + i + 1))) (f (w (n + 1 + i))) := by dsimp only [w] congr 1 · refine Finset.sum_congr rfl fun i hi => ?_ simp only [Finset.mem_range] at hi have : i + 1 ≤ n := Nat.succ_le_of_lt hi simp [hi.le, this] · refine Finset.sum_congr rfl fun i hi => ?_ simp only [Finset.mem_range] at hi have B : ¬n + 1 + i ≤ n := by omega have A : ¬n + 1 + i + 1 ≤ n := fun h => B ((n + 1 + i).le_succ.trans h) have C : n + 1 + i - n = i + 1 := by rw [tsub_eq_iff_eq_add_of_le] · abel · exact n.le_succ.trans (n.succ.le_add_right i) simp only [A, B, C, Nat.succ_sub_succ_eq_sub, if_false, add_tsub_cancel_left] _ = (∑ i ∈ Finset.range n, edist (f (w (i + 1))) (f (w i))) + ∑ i ∈ Finset.Ico (n + 1) (n + 1 + m), edist (f (w (i + 1))) (f (w i)) := by congr 1 rw [Finset.range_eq_Ico] convert Finset.sum_Ico_add (fun i : ℕ => edist (f (w (i + 1))) (f (w i))) 0 m (n + 1) using 3 <;> abel _ ≤ ∑ i ∈ Finset.range (n + 1 + m), edist (f (w (i + 1))) (f (w i)) := by rw [← Finset.sum_union] · apply Finset.sum_le_sum_of_subset _ rintro i hi simp only [Finset.mem_union, Finset.mem_range, Finset.mem_Ico] at hi ⊢ cases' hi with hi hi · exact lt_of_lt_of_le hi (n.le_succ.trans (n.succ.le_add_right m)) · exact hi.2 · refine Finset.disjoint_left.2 fun i hi h'i => ?_ simp only [Finset.mem_Ico, Finset.mem_range] at hi h'i exact hi.not_lt (Nat.lt_of_succ_le h'i.left) _ ≤ eVariationOn f (s ∪ t) := sum_le f _ hw wst #align evariation_on.add_le_union eVariationOn.add_le_union
Mathlib/Analysis/BoundedVariation.lean
462
498
theorem union (f : α → E) {s t : Set α} {x : α} (hs : IsGreatest s x) (ht : IsLeast t x) : eVariationOn f (s ∪ t) = eVariationOn f s + eVariationOn f t := by
classical apply le_antisymm _ (eVariationOn.add_le_union f fun a ha b hb => le_trans (hs.2 ha) (ht.2 hb)) apply iSup_le _ rintro ⟨n, ⟨u, hu, ust⟩⟩ obtain ⟨v, m, hv, vst, xv, huv⟩ : ∃ (v : ℕ → α) (m : ℕ), Monotone v ∧ (∀ i, v i ∈ s ∪ t) ∧ x ∈ v '' Iio m ∧ (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ ∑ j ∈ Finset.range m, edist (f (v (j + 1))) (f (v j)) := eVariationOn.add_point f (mem_union_left t hs.1) u hu ust n obtain ⟨N, hN, Nx⟩ : ∃ N, N < m ∧ v N = x := xv calc (∑ j ∈ Finset.range n, edist (f (u (j + 1))) (f (u j))) ≤ ∑ j ∈ Finset.range m, edist (f (v (j + 1))) (f (v j)) := huv _ = (∑ j ∈ Finset.Ico 0 N, edist (f (v (j + 1))) (f (v j))) + ∑ j ∈ Finset.Ico N m, edist (f (v (j + 1))) (f (v j)) := by rw [Finset.range_eq_Ico, Finset.sum_Ico_consecutive _ (zero_le _) hN.le] _ ≤ eVariationOn f s + eVariationOn f t := by refine add_le_add ?_ ?_ · apply sum_le_of_monotoneOn_Icc _ (hv.monotoneOn _) fun i hi => ?_ rcases vst i with (h | h); · exact h have : v i = x := by apply le_antisymm · rw [← Nx]; exact hv hi.2 · exact ht.2 h rw [this] exact hs.1 · apply sum_le_of_monotoneOn_Icc _ (hv.monotoneOn _) fun i hi => ?_ rcases vst i with (h | h); swap; · exact h have : v i = x := by apply le_antisymm · exact hs.2 h · rw [← Nx]; exact hv hi.1 rw [this] exact ht.1
import Mathlib.Combinatorics.SimpleGraph.Subgraph import Mathlib.Data.List.Rotate #align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4" open Function universe u v w namespace SimpleGraph variable {V : Type u} {V' : Type v} {V'' : Type w} variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'') inductive Walk : V → V → Type u | nil {u : V} : Walk u u | cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w deriving DecidableEq #align simple_graph.walk SimpleGraph.Walk attribute [refl] Walk.nil @[simps] instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩ #align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited @[match_pattern, reducible] def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v := Walk.cons h Walk.nil #align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk namespace Walk variable {G} @[match_pattern] abbrev nil' (u : V) : G.Walk u u := Walk.nil #align simple_graph.walk.nil' SimpleGraph.Walk.nil' @[match_pattern] abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p #align simple_graph.walk.cons' SimpleGraph.Walk.cons' protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' := hu ▸ hv ▸ p #align simple_graph.walk.copy SimpleGraph.Walk.copy @[simp] theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl #align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl @[simp] theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v) (hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') : (p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by subst_vars rfl #align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy @[simp] theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by subst_vars rfl #align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') : (Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by subst_vars rfl #align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons @[simp] theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) : Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by subst_vars rfl #align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) : ∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p' | nil => (hne rfl).elim | cons h p' => ⟨_, h, p', rfl⟩ #align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne def length {u v : V} : G.Walk u v → ℕ | nil => 0 | cons _ q => q.length.succ #align simple_graph.walk.length SimpleGraph.Walk.length @[trans] def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w | nil, q => q | cons h p, q => cons h (p.append q) #align simple_graph.walk.append SimpleGraph.Walk.append def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil) #align simple_graph.walk.concat SimpleGraph.Walk.concat theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : p.concat h = p.append (cons h nil) := rfl #align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w | nil, q => q | cons h p, q => Walk.reverseAux p (cons (G.symm h) q) #align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux @[symm] def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil #align simple_graph.walk.reverse SimpleGraph.Walk.reverse def getVert {u v : V} : G.Walk u v → ℕ → V | nil, _ => u | cons _ _, 0 => u | cons _ q, n + 1 => q.getVert n #align simple_graph.walk.get_vert SimpleGraph.Walk.getVert @[simp] theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl #align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) : w.getVert i = v := by induction w generalizing i with | nil => rfl | cons _ _ ih => cases i · cases hi · exact ih (Nat.succ_le_succ_iff.1 hi) #align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le @[simp] theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v := w.getVert_of_length_le rfl.le #align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) : G.Adj (w.getVert i) (w.getVert (i + 1)) := by induction w generalizing i with | nil => cases hi | cons hxy _ ih => cases i · simp [getVert, hxy] · exact ih (Nat.succ_lt_succ_iff.1 hi) #align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ @[simp] theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) : (cons h p).append q = cons h (p.append q) := rfl #align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append @[simp] theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h nil).append p = cons h p := rfl #align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append @[simp] theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by induction p with | nil => rfl | cons _ _ ih => rw [cons_append, ih] #align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil @[simp] theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p := rfl #align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) : p.append (q.append r) = (p.append q).append r := by induction p with | nil => rfl | cons h p' ih => dsimp only [append] rw [ih] #align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc @[simp] theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w) (hu : u = u') (hv : v = v') (hw : w = w') : (p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by subst_vars rfl #align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl #align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil @[simp] theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) : (cons h p).concat h' = cons h (p.concat h') := rfl #align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) : p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _ #align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) : (p.concat h).append q = p.append (cons h q) := by rw [concat_eq_append, ← append_assoc, cons_nil_append] #align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : ∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by induction p generalizing u with | nil => exact ⟨_, nil, h, rfl⟩ | cons h' p ih => obtain ⟨y, q, h'', hc⟩ := ih h' refine ⟨y, cons h q, h'', ?_⟩ rw [concat_cons, hc] #align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat theorem exists_concat_eq_cons {u v w : V} : ∀ (p : G.Walk u v) (h : G.Adj v w), ∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q | nil, h => ⟨_, h, nil, rfl⟩ | cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩ #align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons @[simp] theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl #align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil := rfl #align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton @[simp] theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) : (cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl #align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux @[simp] protected theorem append_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) : (p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by induction p with | nil => rfl | cons h _ ih => exact ih q (cons (G.symm h) r) #align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux @[simp] protected theorem reverseAux_append {u v w x : V} (p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) : (p.reverseAux q).append r = p.reverseAux (q.append r) := by induction p with | nil => rfl | cons h _ ih => simp [ih (cons (G.symm h) q)] #align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) : p.reverseAux q = p.reverse.append q := by simp [reverse] #align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append @[simp] theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse] #align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons @[simp] theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).reverse = p.reverse.copy hv hu := by subst_vars rfl #align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy @[simp] theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : (p.append q).reverse = q.reverse.append p.reverse := by simp [reverse] #align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append @[simp] theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append] #align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat @[simp] theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by induction p with | nil => rfl | cons _ _ ih => simp [ih] #align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse @[simp] theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl #align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil @[simp] theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).length = p.length + 1 := rfl #align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons @[simp] theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).length = p.length := by subst_vars rfl #align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy @[simp] theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : (p.append q).length = p.length + q.length := by induction p with | nil => simp | cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc] #align simple_graph.walk.length_append SimpleGraph.Walk.length_append @[simp] theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).length = p.length + 1 := length_append _ _ #align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat @[simp] protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) : (p.reverseAux q).length = p.length + q.length := by induction p with | nil => simp! | cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc] #align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux @[simp] theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse] #align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v | nil, _ => rfl #align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v | cons h nil, _ => h @[simp] theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by constructor · rintro ⟨p, hp⟩ exact eq_of_length_eq_zero hp · rintro rfl exact ⟨nil, rfl⟩ #align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff @[simp] theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp #align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff
Mathlib/Combinatorics/SimpleGraph/Connectivity.lean
436
440
theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) : (p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by
induction p generalizing i with | nil => simp | cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff]
import Mathlib.Analysis.NormedSpace.PiTensorProduct.ProjectiveSeminorm import Mathlib.LinearAlgebra.Isomorphisms universe uι u𝕜 uE uF variable {ι : Type uι} [Fintype ι] variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜] variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] open scoped TensorProduct namespace PiTensorProduct section seminorm variable (F) in @[simps!] noncomputable def toDualContinuousMultilinearMap : (⨂[𝕜] i, E i) →ₗ[𝕜] ContinuousMultilinearMap 𝕜 E F →L[𝕜] F where toFun x := LinearMap.mkContinuous ((LinearMap.flip (lift (R := 𝕜) (s := E) (E := F)).toLinearMap x) ∘ₗ ContinuousMultilinearMap.toMultilinearMapLinear) (projectiveSeminorm x) (fun _ ↦ by simp only [LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.flip_apply, LinearEquiv.coe_coe] exact norm_eval_le_projectiveSeminorm _ _ _) map_add' x y := by ext _ simp only [map_add, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.add_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, ContinuousLinearMap.add_apply] map_smul' a x := by ext _ simp only [map_smul, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.smul_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, RingHom.id_apply, ContinuousLinearMap.coe_smul', Pi.smul_apply] theorem toDualContinuousMultilinearMap_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) : ‖toDualContinuousMultilinearMap F x‖ ≤ projectiveSeminorm x := by simp only [toDualContinuousMultilinearMap, LinearMap.coe_mk, AddHom.coe_mk] apply LinearMap.mkContinuous_norm_le _ (apply_nonneg _ _) noncomputable irreducible_def injectiveSeminorm : Seminorm 𝕜 (⨂[𝕜] i, E i) := sSup {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} lemma dualSeminorms_bounded : BddAbove {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} := by existsi projectiveSeminorm rw [mem_upperBounds] simp only [Set.mem_setOf_eq, forall_exists_index] intro p G _ _ hp rw [hp] intro x simp only [Seminorm.comp_apply, coe_normSeminorm] exact toDualContinuousMultilinearMap_le_projectiveSeminorm _ theorem injectiveSeminorm_apply (x : ⨂[𝕜] i, E i) : injectiveSeminorm x = ⨆ p : {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))}, p.1 x := by simp [injectiveSeminorm] exact Seminorm.sSup_apply dualSeminorms_bounded
Mathlib/Analysis/NormedSpace/PiTensorProduct/InjectiveSeminorm.lean
152
202
theorem norm_eval_le_injectiveSeminorm (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) : ‖lift f.toMultilinearMap x‖ ≤ ‖f‖ * injectiveSeminorm x := by
/- If `F` were in `Type (max uι u𝕜 uE)` (which is the type of `⨂[𝕜] i, E i`), then the property that we want to prove would hold by definition of `injectiveSeminorm`. This is not necessarily true, but we will show that there exists a normed vector space `G` in `Type (max uι u𝕜 uE)` and an injective isometry from `G` to `F` such that `f` factors through a continuous multilinear map `f'` from `E = Π i, E i` to `G`, to which we can apply the definition of `injectiveSeminorm`. The desired inequality for `f` then follows immediately. The idea is very simple: the multilinear map `f` corresponds by `PiTensorProduct.lift` to a linear map from `⨂[𝕜] i, E i` to `F`, say `l`. We want to take `G` to be the image of `l`, with the norm induced from that of `F`; to make sure that we are in the correct universe, it is actually more convenient to take `G` equal to the coimage of `l` (i.e. the quotient of `⨂[𝕜] i, E i` by the kernel of `l`), which is canonically isomorphic to its image by `LinearMap.quotKerEquivRange`. -/ set G := (⨂[𝕜] i, E i) ⧸ LinearMap.ker (lift f.toMultilinearMap) set G' := LinearMap.range (lift f.toMultilinearMap) set e := LinearMap.quotKerEquivRange (lift f.toMultilinearMap) letI := SeminormedAddCommGroup.induced G G' e letI := NormedSpace.induced 𝕜 G G' e set f'₀ := lift.symm (e.symm.toLinearMap ∘ₗ LinearMap.rangeRestrict (lift f.toMultilinearMap)) have hf'₀ : ∀ (x : Π (i : ι), E i), ‖f'₀ x‖ ≤ ‖f‖ * ∏ i, ‖x i‖ := fun x ↦ by change ‖e (f'₀ x)‖ ≤ _ simp only [lift_symm, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, Submodule.coe_norm, LinearMap.codRestrict_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, e, f'₀] exact f.le_opNorm x set f' := MultilinearMap.mkContinuous f'₀ ‖f‖ hf'₀ have hnorm : ‖f'‖ ≤ ‖f‖ := (f'.opNorm_le_iff (norm_nonneg f)).mpr hf'₀ have heq : e (lift f'.toMultilinearMap x) = lift f.toMultilinearMap x := by induction' x using PiTensorProduct.induction_on with a m _ _ hx hy · simp only [lift_symm, map_smul, lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, SetLike.val_smul, LinearMap.codRestrict_apply, f', f'₀] · simp only [map_add, AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, hx, hy] suffices h : ‖lift f'.toMultilinearMap x‖ ≤ ‖f'‖ * injectiveSeminorm x by change ‖(e (lift f'.toMultilinearMap x)).1‖ ≤ _ at h rw [heq] at h exact le_trans h (mul_le_mul_of_nonneg_right hnorm (apply_nonneg _ _)) have hle : Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E)) ≤ injectiveSeminorm := by simp only [injectiveSeminorm] refine le_csSup dualSeminorms_bounded ?_ rw [Set.mem_setOf] existsi G, inferInstance, inferInstance rfl refine le_trans ?_ (mul_le_mul_of_nonneg_left (hle x) (norm_nonneg f')) simp only [Seminorm.comp_apply, coe_normSeminorm, ← toDualContinuousMultilinearMap_apply_apply] rw [mul_comm] exact ContinuousLinearMap.le_opNorm _ _
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section LinearOrderedField variable [LinearOrderedField α] {a : α} @[simp] theorem preimage_mul_const_Iio (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Iio a = Iio (a / c) := ext fun _x => (lt_div_iff h).symm #align set.preimage_mul_const_Iio Set.preimage_mul_const_Iio @[simp] theorem preimage_mul_const_Ioi (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioi a = Ioi (a / c) := ext fun _x => (div_lt_iff h).symm #align set.preimage_mul_const_Ioi Set.preimage_mul_const_Ioi @[simp] theorem preimage_mul_const_Iic (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Iic a = Iic (a / c) := ext fun _x => (le_div_iff h).symm #align set.preimage_mul_const_Iic Set.preimage_mul_const_Iic @[simp] theorem preimage_mul_const_Ici (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ici a = Ici (a / c) := ext fun _x => (div_le_iff h).symm #align set.preimage_mul_const_Ici Set.preimage_mul_const_Ici @[simp] theorem preimage_mul_const_Ioo (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioo a b = Ioo (a / c) (b / c) := by simp [← Ioi_inter_Iio, h] #align set.preimage_mul_const_Ioo Set.preimage_mul_const_Ioo @[simp] theorem preimage_mul_const_Ioc (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioc a b = Ioc (a / c) (b / c) := by simp [← Ioi_inter_Iic, h] #align set.preimage_mul_const_Ioc Set.preimage_mul_const_Ioc @[simp] theorem preimage_mul_const_Ico (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ico a b = Ico (a / c) (b / c) := by simp [← Ici_inter_Iio, h] #align set.preimage_mul_const_Ico Set.preimage_mul_const_Ico @[simp] theorem preimage_mul_const_Icc (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Icc a b = Icc (a / c) (b / c) := by simp [← Ici_inter_Iic, h] #align set.preimage_mul_const_Icc Set.preimage_mul_const_Icc @[simp] theorem preimage_mul_const_Iio_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Iio a = Ioi (a / c) := ext fun _x => (div_lt_iff_of_neg h).symm #align set.preimage_mul_const_Iio_of_neg Set.preimage_mul_const_Iio_of_neg @[simp] theorem preimage_mul_const_Ioi_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioi a = Iio (a / c) := ext fun _x => (lt_div_iff_of_neg h).symm #align set.preimage_mul_const_Ioi_of_neg Set.preimage_mul_const_Ioi_of_neg @[simp] theorem preimage_mul_const_Iic_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Iic a = Ici (a / c) := ext fun _x => (div_le_iff_of_neg h).symm #align set.preimage_mul_const_Iic_of_neg Set.preimage_mul_const_Iic_of_neg @[simp] theorem preimage_mul_const_Ici_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ici a = Iic (a / c) := ext fun _x => (le_div_iff_of_neg h).symm #align set.preimage_mul_const_Ici_of_neg Set.preimage_mul_const_Ici_of_neg @[simp] theorem preimage_mul_const_Ioo_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioo a b = Ioo (b / c) (a / c) := by simp [← Ioi_inter_Iio, h, inter_comm] #align set.preimage_mul_const_Ioo_of_neg Set.preimage_mul_const_Ioo_of_neg @[simp] theorem preimage_mul_const_Ioc_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioc a b = Ico (b / c) (a / c) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, h, inter_comm] #align set.preimage_mul_const_Ioc_of_neg Set.preimage_mul_const_Ioc_of_neg @[simp] theorem preimage_mul_const_Ico_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ico a b = Ioc (b / c) (a / c) := by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, h, inter_comm] #align set.preimage_mul_const_Ico_of_neg Set.preimage_mul_const_Ico_of_neg @[simp] theorem preimage_mul_const_Icc_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Icc a b = Icc (b / c) (a / c) := by simp [← Ici_inter_Iic, h, inter_comm] #align set.preimage_mul_const_Icc_of_neg Set.preimage_mul_const_Icc_of_neg @[simp] theorem preimage_const_mul_Iio (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Iio a = Iio (a / c) := ext fun _x => (lt_div_iff' h).symm #align set.preimage_const_mul_Iio Set.preimage_const_mul_Iio @[simp] theorem preimage_const_mul_Ioi (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioi a = Ioi (a / c) := ext fun _x => (div_lt_iff' h).symm #align set.preimage_const_mul_Ioi Set.preimage_const_mul_Ioi @[simp] theorem preimage_const_mul_Iic (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Iic a = Iic (a / c) := ext fun _x => (le_div_iff' h).symm #align set.preimage_const_mul_Iic Set.preimage_const_mul_Iic @[simp] theorem preimage_const_mul_Ici (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ici a = Ici (a / c) := ext fun _x => (div_le_iff' h).symm #align set.preimage_const_mul_Ici Set.preimage_const_mul_Ici @[simp] theorem preimage_const_mul_Ioo (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioo a b = Ioo (a / c) (b / c) := by simp [← Ioi_inter_Iio, h] #align set.preimage_const_mul_Ioo Set.preimage_const_mul_Ioo @[simp] theorem preimage_const_mul_Ioc (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioc a b = Ioc (a / c) (b / c) := by simp [← Ioi_inter_Iic, h] #align set.preimage_const_mul_Ioc Set.preimage_const_mul_Ioc @[simp] theorem preimage_const_mul_Ico (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ico a b = Ico (a / c) (b / c) := by simp [← Ici_inter_Iio, h] #align set.preimage_const_mul_Ico Set.preimage_const_mul_Ico @[simp] theorem preimage_const_mul_Icc (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Icc a b = Icc (a / c) (b / c) := by simp [← Ici_inter_Iic, h] #align set.preimage_const_mul_Icc Set.preimage_const_mul_Icc @[simp] theorem preimage_const_mul_Iio_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Iio a = Ioi (a / c) := by simpa only [mul_comm] using preimage_mul_const_Iio_of_neg a h #align set.preimage_const_mul_Iio_of_neg Set.preimage_const_mul_Iio_of_neg @[simp] theorem preimage_const_mul_Ioi_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioi a = Iio (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioi_of_neg a h #align set.preimage_const_mul_Ioi_of_neg Set.preimage_const_mul_Ioi_of_neg @[simp] theorem preimage_const_mul_Iic_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Iic a = Ici (a / c) := by simpa only [mul_comm] using preimage_mul_const_Iic_of_neg a h #align set.preimage_const_mul_Iic_of_neg Set.preimage_const_mul_Iic_of_neg @[simp] theorem preimage_const_mul_Ici_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ici a = Iic (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ici_of_neg a h #align set.preimage_const_mul_Ici_of_neg Set.preimage_const_mul_Ici_of_neg @[simp] theorem preimage_const_mul_Ioo_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioo a b = Ioo (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioo_of_neg a b h #align set.preimage_const_mul_Ioo_of_neg Set.preimage_const_mul_Ioo_of_neg @[simp] theorem preimage_const_mul_Ioc_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioc a b = Ico (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioc_of_neg a b h #align set.preimage_const_mul_Ioc_of_neg Set.preimage_const_mul_Ioc_of_neg @[simp] theorem preimage_const_mul_Ico_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ico a b = Ioc (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ico_of_neg a b h #align set.preimage_const_mul_Ico_of_neg Set.preimage_const_mul_Ico_of_neg @[simp]
Mathlib/Data/Set/Pointwise/Interval.lean
767
769
theorem preimage_const_mul_Icc_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Icc a b = Icc (b / c) (a / c) := by
simpa only [mul_comm] using preimage_mul_const_Icc_of_neg a b h
import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.RingTheory.LocalProperties #align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 universe u open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop) namespace RingHom variable {P}
Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean
48
70
theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _ (Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _ (X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _ (Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso, ← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r))) (X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff] congr delta IsLocalization.Away.map refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_ generalize_proofs haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r) -- Porting note: needs to be very explicit here convert (@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r)) _ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1 change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _ rw [f.val.c.naturality_assoc] simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp] congr 1
import Mathlib.Geometry.Manifold.MFDeriv.SpecificFunctions noncomputable section open scoped Manifold open Bundle Set Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] section Charts variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M'] [SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H} theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I e x := by rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩ have mem : I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by simp only [hx, mfld_simps] have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible (chart_mem_atlas H x) h have A : ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm) (I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1 #align mdifferentiable_at_atlas mdifferentiableAt_atlas theorem mdifferentiableOn_atlas (h : e ∈ atlas H M) : MDifferentiableOn I I e e.source := fun _x hx => (mdifferentiableAt_atlas I h hx).mdifferentiableWithinAt #align mdifferentiable_on_atlas mdifferentiableOn_atlas
Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean
113
129
theorem mdifferentiableAt_atlas_symm (h : e ∈ atlas H M) {x : H} (hx : x ∈ e.target) : MDifferentiableAt I I e.symm x := by
rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn_symm x hx).continuousAt (e.open_target.mem_nhds hx), ?_⟩ have mem : I x ∈ I.symm ⁻¹' (e.symm ≫ₕ chartAt H (e.symm x)).source ∩ range I := by simp only [hx, mfld_simps] have : e.symm.trans (chartAt H (e.symm x)) ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible h (chart_mem_atlas H _) have A : ContDiffOn 𝕜 ∞ (I ∘ e.symm.trans (chartAt H (e.symm x)) ∘ I.symm) (I.symm ⁻¹' (e.symm.trans (chartAt H (e.symm x))).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I x) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
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 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 @[simp] theorem findIdx?_append : (xs ++ ys : List α).findIdx? p = (xs.findIdx? p <|> (ys.findIdx? p).map fun i => i + xs.length) := by induction xs with simp | cons _ _ _ => split <;> simp_all [Option.map_orElse, Option.map_map]; rfl @[simp] theorem findIdx?_replicate : (replicate n a).findIdx? p = if 0 < n ∧ p a then some 0 else none := by induction n with | zero => simp | succ n ih => simp only [replicate, findIdx?_cons, Nat.zero_add, findIdx?_succ, Nat.zero_lt_succ, true_and] split <;> simp_all theorem Pairwise.sublist : l₁ <+ l₂ → l₂.Pairwise R → l₁.Pairwise R | .slnil, h => h | .cons _ s, .cons _ h₂ => h₂.sublist s | .cons₂ _ s, .cons h₁ h₂ => (h₂.sublist s).cons fun _ h => h₁ _ (s.subset h) theorem pairwise_map {l : List α} : (l.map f).Pairwise R ↔ l.Pairwise fun a b => R (f a) (f b) := by induction l · simp · simp only [map, pairwise_cons, forall_mem_map_iff, *] theorem pairwise_append {l₁ l₂ : List α} : (l₁ ++ l₂).Pairwise R ↔ l₁.Pairwise R ∧ l₂.Pairwise R ∧ ∀ a ∈ l₁, ∀ b ∈ l₂, R a b := by induction l₁ <;> simp [*, or_imp, forall_and, and_assoc, and_left_comm] theorem pairwise_reverse {l : List α} : l.reverse.Pairwise R ↔ l.Pairwise (fun a b => R b a) := by induction l <;> simp [*, pairwise_append, and_comm] theorem Pairwise.imp {α R S} (H : ∀ {a b}, R a b → S a b) : ∀ {l : List α}, l.Pairwise R → l.Pairwise S | _, .nil => .nil | _, .cons h₁ h₂ => .cons (H ∘ h₁ ·) (h₂.imp H) theorem replaceF_nil : [].replaceF p = [] := rfl theorem replaceF_cons (a : α) (l : List α) : (a :: l).replaceF p = match p a with | none => a :: replaceF p l | some a' => a' :: l := rfl theorem replaceF_cons_of_some {l : List α} (p) (h : p a = some a') : (a :: l).replaceF p = a' :: l := by simp [replaceF_cons, h] theorem replaceF_cons_of_none {l : List α} (p) (h : p a = none) : (a :: l).replaceF p = a :: l.replaceF p := by simp [replaceF_cons, h] theorem replaceF_of_forall_none {l : List α} (h : ∀ a, a ∈ l → p a = none) : l.replaceF p = l := by induction l with | nil => rfl | cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2] theorem exists_of_replaceF : ∀ {l : List α} {a a'} (al : a ∈ l) (pa : p a = some a'), ∃ a a' l₁ l₂, (∀ b ∈ l₁, p b = none) ∧ p a = some a' ∧ l = l₁ ++ a :: l₂ ∧ l.replaceF p = l₁ ++ a' :: l₂ | b :: l, a, a', al, pa => match pb : p b with | some b' => ⟨b, b', [], l, forall_mem_nil _, pb, by simp [pb]⟩ | none => match al with | .head .. => nomatch pb.symm.trans pa | .tail _ al => let ⟨c, c', l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_replaceF al pa ⟨c, 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_replaceF (p) (l : List α) : l.replaceF p = l ∨ ∃ a a' l₁ l₂, (∀ b ∈ l₁, p b = none) ∧ p a = some a' ∧ l = l₁ ++ a :: l₂ ∧ l.replaceF p = l₁ ++ a' :: l₂ := if h : ∃ a ∈ l, (p a).isSome then let ⟨_, ha, pa⟩ := h .inr (exists_of_replaceF ha (Option.get_mem pa)) else .inl <| replaceF_of_forall_none fun a ha => Option.not_isSome_iff_eq_none.1 fun h' => h ⟨a, ha, h'⟩ @[simp] theorem length_replaceF : length (replaceF f l) = length l := by induction l <;> simp [replaceF]; split <;> simp [*] theorem disjoint_symm (d : Disjoint l₁ l₂) : Disjoint l₂ l₁ := fun _ i₂ i₁ => d i₁ i₂ theorem disjoint_comm : Disjoint l₁ l₂ ↔ Disjoint l₂ l₁ := ⟨disjoint_symm, disjoint_symm⟩ theorem disjoint_left : Disjoint l₁ l₂ ↔ ∀ ⦃a⦄, a ∈ l₁ → a ∉ l₂ := by simp [Disjoint] theorem disjoint_right : Disjoint l₁ l₂ ↔ ∀ ⦃a⦄, a ∈ l₂ → a ∉ l₁ := disjoint_comm theorem disjoint_iff_ne : Disjoint l₁ l₂ ↔ ∀ a ∈ l₁, ∀ b ∈ l₂, a ≠ b := ⟨fun h _ al1 _ bl2 ab => h al1 (ab ▸ bl2), fun h _ al1 al2 => h _ al1 _ al2 rfl⟩ theorem disjoint_of_subset_left (ss : l₁ ⊆ l) (d : Disjoint l l₂) : Disjoint l₁ l₂ := fun _ m => d (ss m) theorem disjoint_of_subset_right (ss : l₂ ⊆ l) (d : Disjoint l₁ l) : Disjoint l₁ l₂ := fun _ m m₁ => d m (ss m₁) theorem disjoint_of_disjoint_cons_left {l₁ l₂} : Disjoint (a :: l₁) l₂ → Disjoint l₁ l₂ := disjoint_of_subset_left (subset_cons _ _) theorem disjoint_of_disjoint_cons_right {l₁ l₂} : Disjoint l₁ (a :: l₂) → Disjoint l₁ l₂ := disjoint_of_subset_right (subset_cons _ _) @[simp] theorem disjoint_nil_left (l : List α) : Disjoint [] l := fun a => (not_mem_nil a).elim @[simp] theorem disjoint_nil_right (l : List α) : Disjoint l [] := by rw [disjoint_comm]; exact disjoint_nil_left _ @[simp 1100] theorem singleton_disjoint : Disjoint [a] l ↔ a ∉ l := by simp [Disjoint] @[simp 1100] theorem disjoint_singleton : Disjoint l [a] ↔ a ∉ l := by rw [disjoint_comm, singleton_disjoint] @[simp] theorem disjoint_append_left : Disjoint (l₁ ++ l₂) l ↔ Disjoint l₁ l ∧ Disjoint l₂ l := by simp [Disjoint, or_imp, forall_and] @[simp] theorem disjoint_append_right : Disjoint l (l₁ ++ l₂) ↔ Disjoint l l₁ ∧ Disjoint l l₂ := disjoint_comm.trans <| by rw [disjoint_append_left]; simp [disjoint_comm] @[simp] theorem disjoint_cons_left : Disjoint (a::l₁) l₂ ↔ (a ∉ l₂) ∧ Disjoint l₁ l₂ := (disjoint_append_left (l₁ := [a])).trans <| by simp [singleton_disjoint] @[simp] theorem disjoint_cons_right : Disjoint l₁ (a :: l₂) ↔ (a ∉ l₁) ∧ Disjoint l₁ l₂ := disjoint_comm.trans <| by rw [disjoint_cons_left]; simp [disjoint_comm] theorem disjoint_of_disjoint_append_left_left (d : Disjoint (l₁ ++ l₂) l) : Disjoint l₁ l := (disjoint_append_left.1 d).1 theorem disjoint_of_disjoint_append_left_right (d : Disjoint (l₁ ++ l₂) l) : Disjoint l₂ l := (disjoint_append_left.1 d).2 theorem disjoint_of_disjoint_append_right_left (d : Disjoint l (l₁ ++ l₂)) : Disjoint l l₁ := (disjoint_append_right.1 d).1 theorem disjoint_of_disjoint_append_right_right (d : Disjoint l (l₁ ++ l₂)) : Disjoint l l₂ := (disjoint_append_right.1 d).2 theorem foldl_hom (f : α₁ → α₂) (g₁ : α₁ → β → α₁) (g₂ : α₂ → β → α₂) (l : List β) (init : α₁) (H : ∀ x y, g₂ (f x) y = f (g₁ x y)) : l.foldl g₂ (f init) = f (l.foldl g₁ init) := by induction l generalizing init <;> simp [*, H] theorem foldr_hom (f : β₁ → β₂) (g₁ : α → β₁ → β₁) (g₂ : α → β₂ → β₂) (l : List α) (init : β₁) (H : ∀ x y, g₂ x (f y) = f (g₁ x y)) : l.foldr g₂ (f init) = f (l.foldr g₁ init) := by induction l <;> simp [*, H] theorem inter_def [BEq α] (l₁ l₂ : List α) : l₁ ∩ l₂ = filter (elem · l₂) l₁ := rfl @[simp] theorem mem_inter_iff [BEq α] [LawfulBEq α] {x : α} {l₁ l₂ : List α} : x ∈ l₁ ∩ l₂ ↔ x ∈ l₁ ∧ x ∈ l₂ := by cases l₁ <;> simp [List.inter_def, mem_filter] @[simp] theorem pair_mem_product {xs : List α} {ys : List β} {x : α} {y : β} : (x, y) ∈ product xs ys ↔ x ∈ xs ∧ y ∈ ys := by simp only [product, and_imp, mem_map, Prod.mk.injEq, exists_eq_right_right, mem_bind, iff_self] @[simp] theorem leftpad_length (n : Nat) (a : α) (l : List α) : (leftpad n a l).length = max n l.length := by simp only [leftpad, length_append, length_replicate, Nat.sub_add_eq_max] theorem leftpad_prefix (n : Nat) (a : α) (l : List α) : replicate (n - length l) a <+: leftpad n a l := by simp only [IsPrefix, leftpad] exact Exists.intro l rfl theorem leftpad_suffix (n : Nat) (a : α) (l : List α) : l <:+ (leftpad n a l) := by simp only [IsSuffix, leftpad] exact Exists.intro (replicate (n - length l) a) rfl -- we use ForIn.forIn as the simp normal form @[simp] theorem forIn_eq_forIn [Monad m] : @List.forIn α β m _ = forIn := rfl theorem forIn_eq_bindList [Monad m] [LawfulMonad m] (f : α → β → m (ForInStep β)) (l : List α) (init : β) : forIn l init f = ForInStep.run <$> (ForInStep.yield init).bindList f l := by induction l generalizing init <;> simp [*, map_eq_pure_bind] congr; ext (b | b) <;> simp @[simp] theorem forM_append [Monad m] [LawfulMonad m] (l₁ l₂ : List α) (f : α → m PUnit) : (l₁ ++ l₂).forM f = (do l₁.forM f; l₂.forM f) := by induction l₁ <;> simp [*] @[simp] theorem prefix_append (l₁ l₂ : List α) : l₁ <+: l₁ ++ l₂ := ⟨l₂, rfl⟩ @[simp] theorem suffix_append (l₁ l₂ : List α) : l₂ <:+ l₁ ++ l₂ := ⟨l₁, rfl⟩ theorem infix_append (l₁ l₂ l₃ : List α) : l₂ <:+: l₁ ++ l₂ ++ l₃ := ⟨l₁, l₃, rfl⟩ @[simp] theorem infix_append' (l₁ l₂ l₃ : List α) : l₂ <:+: l₁ ++ (l₂ ++ l₃) := by rw [← List.append_assoc]; apply infix_append theorem IsPrefix.isInfix : l₁ <+: l₂ → l₁ <:+: l₂ := fun ⟨t, h⟩ => ⟨[], t, h⟩ theorem IsSuffix.isInfix : l₁ <:+ l₂ → l₁ <:+: l₂ := fun ⟨t, h⟩ => ⟨t, [], by rw [h, append_nil]⟩ theorem nil_prefix (l : List α) : [] <+: l := ⟨l, rfl⟩ theorem nil_suffix (l : List α) : [] <:+ l := ⟨l, append_nil _⟩ theorem nil_infix (l : List α) : [] <:+: l := (nil_prefix _).isInfix theorem prefix_refl (l : List α) : l <+: l := ⟨[], append_nil _⟩ theorem suffix_refl (l : List α) : l <:+ l := ⟨[], rfl⟩ theorem infix_refl (l : List α) : l <:+: l := (prefix_refl l).isInfix @[simp] theorem suffix_cons (a : α) : ∀ l, l <:+ a :: l := suffix_append [a] theorem infix_cons : l₁ <:+: l₂ → l₁ <:+: a :: l₂ := fun ⟨L₁, L₂, h⟩ => ⟨a :: L₁, L₂, h ▸ rfl⟩ theorem infix_concat : l₁ <:+: l₂ → l₁ <:+: concat l₂ a := fun ⟨L₁, L₂, h⟩ => ⟨L₁, concat L₂ a, by simp [← h, concat_eq_append, append_assoc]⟩ theorem IsPrefix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <+: l₂ → l₂ <+: l₃ → l₁ <+: l₃ | _, _, _, ⟨r₁, rfl⟩, ⟨r₂, rfl⟩ => ⟨r₁ ++ r₂, (append_assoc _ _ _).symm⟩ theorem IsSuffix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <:+ l₂ → l₂ <:+ l₃ → l₁ <:+ l₃ | _, _, _, ⟨l₁, rfl⟩, ⟨l₂, rfl⟩ => ⟨l₂ ++ l₁, append_assoc _ _ _⟩ theorem IsInfix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <:+: l₂ → l₂ <:+: l₃ → l₁ <:+: l₃ | l, _, _, ⟨l₁, r₁, rfl⟩, ⟨l₂, r₂, rfl⟩ => ⟨l₂ ++ l₁, r₁ ++ r₂, by simp only [append_assoc]⟩ protected theorem IsInfix.sublist : l₁ <:+: l₂ → l₁ <+ l₂ | ⟨_, _, h⟩ => h ▸ (sublist_append_right ..).trans (sublist_append_left ..) protected theorem IsInfix.subset (hl : l₁ <:+: l₂) : l₁ ⊆ l₂ := hl.sublist.subset protected theorem IsPrefix.sublist (h : l₁ <+: l₂) : l₁ <+ l₂ := h.isInfix.sublist protected theorem IsPrefix.subset (hl : l₁ <+: l₂) : l₁ ⊆ l₂ := hl.sublist.subset protected theorem IsSuffix.sublist (h : l₁ <:+ l₂) : l₁ <+ l₂ := h.isInfix.sublist protected theorem IsSuffix.subset (hl : l₁ <:+ l₂) : l₁ ⊆ l₂ := hl.sublist.subset @[simp] theorem reverse_suffix : reverse l₁ <:+ reverse l₂ ↔ l₁ <+: l₂ := ⟨fun ⟨r, e⟩ => ⟨reverse r, by rw [← reverse_reverse l₁, ← reverse_append, e, reverse_reverse]⟩, fun ⟨r, e⟩ => ⟨reverse r, by rw [← reverse_append, e]⟩⟩ @[simp] theorem reverse_prefix : reverse l₁ <+: reverse l₂ ↔ l₁ <:+ l₂ := by rw [← reverse_suffix]; simp only [reverse_reverse] @[simp] theorem reverse_infix : reverse l₁ <:+: reverse l₂ ↔ l₁ <:+: l₂ := by refine ⟨fun ⟨s, t, e⟩ => ⟨reverse t, reverse s, ?_⟩, fun ⟨s, t, e⟩ => ⟨reverse t, reverse s, ?_⟩⟩ · rw [← reverse_reverse l₁, append_assoc, ← reverse_append, ← reverse_append, e, reverse_reverse] · rw [append_assoc, ← reverse_append, ← reverse_append, e] theorem IsInfix.length_le (h : l₁ <:+: l₂) : l₁.length ≤ l₂.length := h.sublist.length_le theorem IsPrefix.length_le (h : l₁ <+: l₂) : l₁.length ≤ l₂.length := h.sublist.length_le theorem IsSuffix.length_le (h : l₁ <:+ l₂) : l₁.length ≤ l₂.length := h.sublist.length_le @[simp] theorem infix_nil : l <:+: [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ infix_refl _)⟩ @[simp] theorem prefix_nil : l <+: [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ prefix_refl _)⟩ @[simp] theorem suffix_nil : l <:+ [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ suffix_refl _)⟩ theorem infix_iff_prefix_suffix (l₁ l₂ : List α) : l₁ <:+: l₂ ↔ ∃ t, l₁ <+: t ∧ t <:+ l₂ := ⟨fun ⟨_, t, e⟩ => ⟨l₁ ++ t, ⟨_, rfl⟩, e ▸ append_assoc .. ▸ ⟨_, rfl⟩⟩, fun ⟨_, ⟨t, rfl⟩, s, e⟩ => ⟨s, t, append_assoc .. ▸ e⟩⟩ theorem IsInfix.eq_of_length (h : l₁ <:+: l₂) : l₁.length = l₂.length → l₁ = l₂ := h.sublist.eq_of_length theorem IsPrefix.eq_of_length (h : l₁ <+: l₂) : l₁.length = l₂.length → l₁ = l₂ := h.sublist.eq_of_length theorem IsSuffix.eq_of_length (h : l₁ <:+ l₂) : l₁.length = l₂.length → l₁ = l₂ := h.sublist.eq_of_length theorem prefix_of_prefix_length_le : ∀ {l₁ l₂ l₃ : List α}, l₁ <+: l₃ → l₂ <+: l₃ → length l₁ ≤ length l₂ → l₁ <+: l₂ | [], l₂, _, _, _, _ => nil_prefix _ | a :: l₁, b :: l₂, _, ⟨r₁, rfl⟩, ⟨r₂, e⟩, ll => by injection e with _ e'; subst b rcases prefix_of_prefix_length_le ⟨_, rfl⟩ ⟨_, e'⟩ (le_of_succ_le_succ ll) with ⟨r₃, rfl⟩ exact ⟨r₃, rfl⟩ theorem prefix_or_prefix_of_prefix (h₁ : l₁ <+: l₃) (h₂ : l₂ <+: l₃) : l₁ <+: l₂ ∨ l₂ <+: l₁ := (Nat.le_total (length l₁) (length l₂)).imp (prefix_of_prefix_length_le h₁ h₂) (prefix_of_prefix_length_le h₂ h₁) theorem suffix_of_suffix_length_le (h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) (ll : length l₁ ≤ length l₂) : l₁ <:+ l₂ := reverse_prefix.1 <| prefix_of_prefix_length_le (reverse_prefix.2 h₁) (reverse_prefix.2 h₂) (by simp [ll]) theorem suffix_or_suffix_of_suffix (h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) : l₁ <:+ l₂ ∨ l₂ <:+ l₁ := (prefix_or_prefix_of_prefix (reverse_prefix.2 h₁) (reverse_prefix.2 h₂)).imp reverse_prefix.1 reverse_prefix.1 theorem suffix_cons_iff : l₁ <:+ a :: l₂ ↔ l₁ = a :: l₂ ∨ l₁ <:+ l₂ := by constructor · rintro ⟨⟨hd, tl⟩, hl₃⟩ · exact Or.inl hl₃ · simp only [cons_append] at hl₃ injection hl₃ with _ hl₄ exact Or.inr ⟨_, hl₄⟩ · rintro (rfl | hl₁) · exact (a :: l₂).suffix_refl · exact hl₁.trans (l₂.suffix_cons _) theorem infix_cons_iff : l₁ <:+: a :: l₂ ↔ l₁ <+: a :: l₂ ∨ l₁ <:+: l₂ := by constructor · rintro ⟨⟨hd, tl⟩, t, hl₃⟩ · exact Or.inl ⟨t, hl₃⟩ · simp only [cons_append] at hl₃ injection hl₃ with _ hl₄ exact Or.inr ⟨_, t, hl₄⟩ · rintro (h | hl₁) · exact h.isInfix · exact infix_cons hl₁ theorem infix_of_mem_join : ∀ {L : List (List α)}, l ∈ L → l <:+: join L | l' :: _, h => match h with | List.Mem.head .. => infix_append [] _ _ | List.Mem.tail _ hlMemL => IsInfix.trans (infix_of_mem_join hlMemL) <| (suffix_append _ _).isInfix theorem prefix_append_right_inj (l) : l ++ l₁ <+: l ++ l₂ ↔ l₁ <+: l₂ := exists_congr fun r => by rw [append_assoc, append_right_inj] @[simp] theorem prefix_cons_inj (a) : a :: l₁ <+: a :: l₂ ↔ l₁ <+: l₂ := prefix_append_right_inj [a] theorem take_prefix (n) (l : List α) : take n l <+: l := ⟨_, take_append_drop _ _⟩ theorem drop_suffix (n) (l : List α) : drop n l <:+ l := ⟨_, take_append_drop _ _⟩ theorem take_sublist (n) (l : List α) : take n l <+ l := (take_prefix n l).sublist theorem drop_sublist (n) (l : List α) : drop n l <+ l := (drop_suffix n l).sublist theorem take_subset (n) (l : List α) : take n l ⊆ l := (take_sublist n l).subset theorem drop_subset (n) (l : List α) : drop n l ⊆ l := (drop_sublist n l).subset theorem mem_of_mem_take {l : List α} (h : a ∈ l.take n) : a ∈ l := take_subset n l h theorem IsPrefix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <+: l₂) : l₁.filter p <+: l₂.filter p := by obtain ⟨xs, rfl⟩ := h rw [filter_append]; apply prefix_append theorem IsSuffix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <:+ l₂) : l₁.filter p <:+ l₂.filter p := by obtain ⟨xs, rfl⟩ := h rw [filter_append]; apply suffix_append
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theorem IsInfix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <:+: l₂) : l₁.filter p <:+: l₂.filter p := by
obtain ⟨xs, ys, rfl⟩ := h rw [filter_append, filter_append]; apply infix_append _
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 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 #align qpf.liftp_iff' QPF.liftp_iff' theorem liftr_iff {α : Type u} (r : α → α → Prop) (x y : F α) : Liftr r x y ↔ ∃ a f₀ f₁, x = abs ⟨a, f₀⟩ ∧ y = abs ⟨a, f₁⟩ ∧ ∀ i, r (f₀ i) (f₁ i) := by constructor · rintro ⟨u, xeq, yeq⟩ cases' h : repr u with a f use a, fun i => (f i).val.fst, fun i => (f i).val.snd constructor · rw [← xeq, ← abs_repr u, h, ← abs_map] rfl constructor · rw [← yeq, ← abs_repr u, h, ← abs_map] rfl intro i exact (f i).property rintro ⟨a, f₀, f₁, xeq, yeq, h⟩ use abs ⟨a, fun i => ⟨(f₀ i, f₁ i), h i⟩⟩ constructor · rw [xeq, ← abs_map] rfl rw [yeq, ← abs_map]; rfl #align qpf.liftr_iff QPF.liftr_iff end def recF {α : Type _} (g : F α → α) : q.P.W → α | ⟨a, f⟩ => g (abs ⟨a, fun x => recF g (f x)⟩) set_option linter.uppercaseLean3 false in #align qpf.recF QPF.recF theorem recF_eq {α : Type _} (g : F α → α) (x : q.P.W) : recF g x = g (abs (q.P.map (recF g) x.dest)) := by cases x rfl set_option linter.uppercaseLean3 false in #align qpf.recF_eq QPF.recF_eq theorem recF_eq' {α : Type _} (g : F α → α) (a : q.P.A) (f : q.P.B a → q.P.W) : recF g ⟨a, f⟩ = g (abs (q.P.map (recF g) ⟨a, f⟩)) := rfl set_option linter.uppercaseLean3 false in #align qpf.recF_eq' QPF.recF_eq' inductive Wequiv : q.P.W → q.P.W → Prop | ind (a : q.P.A) (f f' : q.P.B a → q.P.W) : (∀ x, Wequiv (f x) (f' x)) → Wequiv ⟨a, f⟩ ⟨a, f'⟩ | abs (a : q.P.A) (f : q.P.B a → q.P.W) (a' : q.P.A) (f' : q.P.B a' → q.P.W) : abs ⟨a, f⟩ = abs ⟨a', f'⟩ → Wequiv ⟨a, f⟩ ⟨a', f'⟩ | trans (u v w : q.P.W) : Wequiv u v → Wequiv v w → Wequiv u w set_option linter.uppercaseLean3 false in #align qpf.Wequiv QPF.Wequiv theorem recF_eq_of_Wequiv {α : Type u} (u : F α → α) (x y : q.P.W) : Wequiv x y → recF u x = recF u y := by intro h induction h with | ind a f f' _ ih => simp only [recF_eq', PFunctor.map_eq, Function.comp, ih] | abs a f a' f' h => simp only [recF_eq', abs_map, h] | trans x y z _ _ ih₁ ih₂ => exact Eq.trans ih₁ ih₂ set_option linter.uppercaseLean3 false in #align qpf.recF_eq_of_Wequiv QPF.recF_eq_of_Wequiv
Mathlib/Data/QPF/Univariate/Basic.lean
202
206
theorem Wequiv.abs' (x y : q.P.W) (h : QPF.abs x.dest = QPF.abs y.dest) : Wequiv x y := by
cases x cases y apply Wequiv.abs apply h
import Mathlib.Algebra.Group.Subgroup.Pointwise import Mathlib.Algebra.Module.BigOperators import Mathlib.Algebra.Order.Group.Action import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.Span import Mathlib.RingTheory.Ideal.Basic #align_import algebra.module.submodule.pointwise from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" variable {α : Type*} {R : Type*} {M : Type*} open Pointwise namespace Submodule section Neg variable [Semiring R] [AddCommMonoid M] [Module R M] instance pointwiseZero : Zero (Submodule R M) where zero := ⊥ instance pointwiseAdd : Add (Submodule R M) where add := (· ⊔ ·) instance pointwiseAddCommMonoid : AddCommMonoid (Submodule R M) where add_assoc := sup_assoc zero_add := bot_sup_eq add_zero := sup_bot_eq add_comm := sup_comm nsmul := nsmulRec #align submodule.pointwise_add_comm_monoid Submodule.pointwiseAddCommMonoid @[simp] theorem add_eq_sup (p q : Submodule R M) : p + q = p ⊔ q := rfl #align submodule.add_eq_sup Submodule.add_eq_sup @[simp] theorem zero_eq_bot : (0 : Submodule R M) = ⊥ := rfl #align submodule.zero_eq_bot Submodule.zero_eq_bot instance : CanonicallyOrderedAddCommMonoid (Submodule R M) := { Submodule.pointwiseAddCommMonoid, Submodule.completeLattice with add_le_add_left := fun _a _b => sup_le_sup_left exists_add_of_le := @fun _a b h => ⟨b, (sup_eq_right.2 h).symm⟩ le_self_add := fun _a _b => le_sup_left } section variable [Monoid α] [DistribMulAction α M] [SMulCommClass α R M] protected def pointwiseDistribMulAction : DistribMulAction α (Submodule R M) where smul a S := S.map (DistribMulAction.toLinearMap R M a : M →ₗ[R] M) one_smul S := (congr_arg (fun f : Module.End R M => S.map f) (LinearMap.ext <| one_smul α)).trans S.map_id mul_smul _a₁ _a₂ S := (congr_arg (fun f : Module.End R M => S.map f) (LinearMap.ext <| mul_smul _ _)).trans (S.map_comp _ _) smul_zero _a := map_bot _ smul_add _a _S₁ _S₂ := map_sup _ _ _ #align submodule.pointwise_distrib_mul_action Submodule.pointwiseDistribMulAction scoped[Pointwise] attribute [instance] Submodule.pointwiseDistribMulAction open Pointwise @[simp] theorem coe_pointwise_smul (a : α) (S : Submodule R M) : ↑(a • S) = a • (S : Set M) := rfl #align submodule.coe_pointwise_smul Submodule.coe_pointwise_smul @[simp] theorem pointwise_smul_toAddSubmonoid (a : α) (S : Submodule R M) : (a • S).toAddSubmonoid = a • S.toAddSubmonoid := rfl #align submodule.pointwise_smul_to_add_submonoid Submodule.pointwise_smul_toAddSubmonoid @[simp] theorem pointwise_smul_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [DistribMulAction α M] [Module R M] [SMulCommClass α R M] (a : α) (S : Submodule R M) : (a • S).toAddSubgroup = a • S.toAddSubgroup := rfl #align submodule.pointwise_smul_to_add_subgroup Submodule.pointwise_smul_toAddSubgroup theorem smul_mem_pointwise_smul (m : M) (a : α) (S : Submodule R M) : m ∈ S → a • m ∈ a • S := (Set.smul_mem_smul_set : _ → _ ∈ a • (S : Set M)) #align submodule.smul_mem_pointwise_smul Submodule.smul_mem_pointwise_smul instance : CovariantClass α (Submodule R M) HSMul.hSMul LE.le := ⟨fun _ _ => map_mono⟩ @[simp] theorem smul_bot' (a : α) : a • (⊥ : Submodule R M) = ⊥ := map_bot _ #align submodule.smul_bot' Submodule.smul_bot' theorem smul_sup' (a : α) (S T : Submodule R M) : a • (S ⊔ T) = a • S ⊔ a • T := map_sup _ _ _ #align submodule.smul_sup' Submodule.smul_sup' theorem smul_span (a : α) (s : Set M) : a • span R s = span R (a • s) := map_span _ _ #align submodule.smul_span Submodule.smul_span theorem span_smul (a : α) (s : Set M) : span R (a • s) = a • span R s := Eq.symm (span_image _).symm #align submodule.span_smul Submodule.span_smul instance pointwiseCentralScalar [DistribMulAction αᵐᵒᵖ M] [SMulCommClass αᵐᵒᵖ R M] [IsCentralScalar α M] : IsCentralScalar α (Submodule R M) := ⟨fun _a S => (congr_arg fun f : Module.End R M => S.map f) <| LinearMap.ext <| op_smul_eq_smul _⟩ #align submodule.pointwise_central_scalar Submodule.pointwiseCentralScalar @[simp] theorem smul_le_self_of_tower {α : Type*} [Semiring α] [Module α R] [Module α M] [SMulCommClass α R M] [IsScalarTower α R M] (a : α) (S : Submodule R M) : a • S ≤ S := by rintro y ⟨x, hx, rfl⟩ exact smul_of_tower_mem _ a hx #align submodule.smul_le_self_of_tower Submodule.smul_le_self_of_tower end section variable [Semiring α] [Module α M] [SMulCommClass α R M] protected def pointwiseMulActionWithZero : MulActionWithZero α (Submodule R M) := { Submodule.pointwiseDistribMulAction with zero_smul := fun S => (congr_arg (fun f : M →ₗ[R] M => S.map f) (LinearMap.ext <| zero_smul α)).trans S.map_zero } #align submodule.pointwise_mul_action_with_zero Submodule.pointwiseMulActionWithZero scoped[Pointwise] attribute [instance] Submodule.pointwiseMulActionWithZero end section set_acting_on_submodules variable {S : Type*} [Monoid S] variable [AddCommMonoid M] [Module R M] [DistribMulAction S M] protected def pointwiseSetSMul : SMul (Set S) (Submodule R M) where smul s N := sInf { p | ∀ ⦃r : S⦄ ⦃n : M⦄, r ∈ s → n ∈ N → r • n ∈ p } scoped[Pointwise] attribute [instance] Submodule.pointwiseSetSMul variable (sR : Set R) (s : Set S) (N : Submodule R M) lemma mem_set_smul_def (x : M) : x ∈ s • N ↔ x ∈ sInf { p : Submodule R M | ∀ ⦃r : S⦄ {n : M}, r ∈ s → n ∈ N → r • n ∈ p } := Iff.rfl variable {s N} in @[aesop safe] lemma mem_set_smul_of_mem_mem {r : S} {m : M} (mem1 : r ∈ s) (mem2 : m ∈ N) : r • m ∈ s • N := by rw [mem_set_smul_def, mem_sInf] exact fun _ h => h mem1 mem2 lemma set_smul_le (p : Submodule R M) (closed_under_smul : ∀ ⦃r : S⦄ ⦃n : M⦄, r ∈ s → n ∈ N → r • n ∈ p) : s • N ≤ p := sInf_le closed_under_smul lemma set_smul_le_iff (p : Submodule R M) : s • N ≤ p ↔ ∀ ⦃r : S⦄ ⦃n : M⦄, r ∈ s → n ∈ N → r • n ∈ p := by fconstructor · intro h r n hr hn exact h <| mem_set_smul_of_mem_mem hr hn · apply set_smul_le lemma set_smul_eq_of_le (p : Submodule R M) (closed_under_smul : ∀ ⦃r : S⦄ ⦃n : M⦄, r ∈ s → n ∈ N → r • n ∈ p) (le : p ≤ s • N) : s • N = p := le_antisymm (set_smul_le s N p closed_under_smul) le instance : CovariantClass (Set S) (Submodule R M) HSMul.hSMul LE.le := ⟨fun _ _ _ le => set_smul_le _ _ _ fun _ _ hr hm => mem_set_smul_of_mem_mem (mem1 := hr) (mem2 := le hm)⟩ @[deprecated smul_mono_right (since := "2024-03-31")] theorem set_smul_mono_right {p q : Submodule R M} (le : p ≤ q) : s • p ≤ s • q := smul_mono_right s le lemma set_smul_mono_left {s t : Set S} (le : s ≤ t) : s • N ≤ t • N := set_smul_le _ _ _ fun _ _ hr hm => mem_set_smul_of_mem_mem (mem1 := le hr) (mem2 := hm) lemma set_smul_le_of_le_le {s t : Set S} {p q : Submodule R M} (le_set : s ≤ t) (le_submodule : p ≤ q) : s • p ≤ t • q := le_trans (set_smul_mono_left _ le_set) <| smul_mono_right _ le_submodule lemma set_smul_eq_iSup [SMulCommClass S R M] (s : Set S) (N : Submodule R M) : s • N = ⨆ (a ∈ s), a • N := by refine Eq.trans (congrArg sInf ?_) csInf_Ici simp_rw [← Set.Ici_def, iSup_le_iff, @forall_comm M] exact Set.ext fun _ => forall₂_congr (fun _ _ => Iff.symm map_le_iff_le_comap)
Mathlib/Algebra/Module/Submodule/Pointwise.lean
402
404
theorem set_smul_span [SMulCommClass S R M] (s : Set S) (t : Set M) : s • span R t = span R (s • t) := by
simp_rw [set_smul_eq_iSup, smul_span, iSup_span, Set.iUnion_smul_set]
import Mathlib.Algebra.Ring.Prod import Mathlib.GroupTheory.OrderOfElement import Mathlib.Tactic.FinCases #align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7" assert_not_exists Submodule open Function namespace ZMod instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ) def val : ∀ {n : ℕ}, ZMod n → ℕ | 0 => Int.natAbs | n + 1 => ((↑) : Fin (n + 1) → ℕ) #align zmod.val ZMod.val theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by cases n · cases NeZero.ne 0 rfl exact Fin.is_lt a #align zmod.val_lt ZMod.val_lt theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n := a.val_lt.le #align zmod.val_le ZMod.val_le @[simp] theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0 | 0 => rfl | _ + 1 => rfl #align zmod.val_zero ZMod.val_zero @[simp] theorem val_one' : (1 : ZMod 0).val = 1 := rfl #align zmod.val_one' ZMod.val_one' @[simp] theorem val_neg' {n : ZMod 0} : (-n).val = n.val := Int.natAbs_neg n #align zmod.val_neg' ZMod.val_neg' @[simp] theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val := Int.natAbs_mul m n #align zmod.val_mul' ZMod.val_mul' @[simp] theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by cases n · rw [Nat.mod_zero] exact Int.natAbs_ofNat a · apply Fin.val_natCast #align zmod.val_nat_cast ZMod.val_natCast @[deprecated (since := "2024-04-17")] alias val_nat_cast := val_natCast theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by simp only [val] rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one] lemma eq_one_of_isUnit_natCast {n : ℕ} (h : IsUnit (n : ZMod 0)) : n = 1 := by rw [← Nat.mod_zero n, ← val_natCast, val_unit'.mp h] theorem val_natCast_of_lt {n a : ℕ} (h : a < n) : (a : ZMod n).val = a := by rwa [val_natCast, Nat.mod_eq_of_lt] @[deprecated (since := "2024-04-17")] alias val_nat_cast_of_lt := val_natCast_of_lt instance charP (n : ℕ) : CharP (ZMod n) n where cast_eq_zero_iff' := by intro k cases' n with n · simp [zero_dvd_iff, Int.natCast_eq_zero, Nat.zero_eq] · exact Fin.natCast_eq_zero @[simp] theorem addOrderOf_one (n : ℕ) : addOrderOf (1 : ZMod n) = n := CharP.eq _ (CharP.addOrderOf_one _) (ZMod.charP n) #align zmod.add_order_of_one ZMod.addOrderOf_one @[simp] theorem addOrderOf_coe (a : ℕ) {n : ℕ} (n0 : n ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by cases' a with a · simp only [Nat.zero_eq, Nat.cast_zero, addOrderOf_zero, Nat.gcd_zero_right, Nat.pos_of_ne_zero n0, Nat.div_self] rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a.succ_ne_zero, ZMod.addOrderOf_one] #align zmod.add_order_of_coe ZMod.addOrderOf_coe @[simp] theorem addOrderOf_coe' {a : ℕ} (n : ℕ) (a0 : a ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a0, ZMod.addOrderOf_one] #align zmod.add_order_of_coe' ZMod.addOrderOf_coe' theorem ringChar_zmod_n (n : ℕ) : ringChar (ZMod n) = n := by rw [ringChar.eq_iff] exact ZMod.charP n #align zmod.ring_char_zmod_n ZMod.ringChar_zmod_n -- @[simp] -- Porting note (#10618): simp can prove this theorem natCast_self (n : ℕ) : (n : ZMod n) = 0 := CharP.cast_eq_zero (ZMod n) n #align zmod.nat_cast_self ZMod.natCast_self @[deprecated (since := "2024-04-17")] alias nat_cast_self := natCast_self @[simp] theorem natCast_self' (n : ℕ) : (n + 1 : ZMod (n + 1)) = 0 := by rw [← Nat.cast_add_one, natCast_self (n + 1)] #align zmod.nat_cast_self' ZMod.natCast_self' @[deprecated (since := "2024-04-17")] alias nat_cast_self' := natCast_self' section UniversalProperty variable {n : ℕ} {R : Type*} section variable [AddGroupWithOne R] def cast : ∀ {n : ℕ}, ZMod n → R | 0 => Int.cast | _ + 1 => fun i => i.val #align zmod.cast ZMod.cast @[simp] theorem cast_zero : (cast (0 : ZMod n) : R) = 0 := by delta ZMod.cast cases n · exact Int.cast_zero · simp #align zmod.cast_zero ZMod.cast_zero theorem cast_eq_val [NeZero n] (a : ZMod n) : (cast a : R) = a.val := by cases n · cases NeZero.ne 0 rfl rfl #align zmod.cast_eq_val ZMod.cast_eq_val variable {S : Type*} [AddGroupWithOne S] @[simp] theorem _root_.Prod.fst_zmod_cast (a : ZMod n) : (cast a : R × S).fst = cast a := by cases n · rfl · simp [ZMod.cast] #align prod.fst_zmod_cast Prod.fst_zmod_cast @[simp] theorem _root_.Prod.snd_zmod_cast (a : ZMod n) : (cast a : R × S).snd = cast a := by cases n · rfl · simp [ZMod.cast] #align prod.snd_zmod_cast Prod.snd_zmod_cast end theorem natCast_zmod_val {n : ℕ} [NeZero n] (a : ZMod n) : (a.val : ZMod n) = a := by cases n · cases NeZero.ne 0 rfl · apply Fin.cast_val_eq_self #align zmod.nat_cast_zmod_val ZMod.natCast_zmod_val @[deprecated (since := "2024-04-17")] alias nat_cast_zmod_val := natCast_zmod_val theorem natCast_rightInverse [NeZero n] : Function.RightInverse val ((↑) : ℕ → ZMod n) := natCast_zmod_val #align zmod.nat_cast_right_inverse ZMod.natCast_rightInverse @[deprecated (since := "2024-04-17")] alias nat_cast_rightInverse := natCast_rightInverse theorem natCast_zmod_surjective [NeZero n] : Function.Surjective ((↑) : ℕ → ZMod n) := natCast_rightInverse.surjective #align zmod.nat_cast_zmod_surjective ZMod.natCast_zmod_surjective @[deprecated (since := "2024-04-17")] alias nat_cast_zmod_surjective := natCast_zmod_surjective @[norm_cast] theorem intCast_zmod_cast (a : ZMod n) : ((cast a : ℤ) : ZMod n) = a := by cases n · simp [ZMod.cast, ZMod] · dsimp [ZMod.cast, ZMod] erw [Int.cast_natCast, Fin.cast_val_eq_self] #align zmod.int_cast_zmod_cast ZMod.intCast_zmod_cast @[deprecated (since := "2024-04-17")] alias int_cast_zmod_cast := intCast_zmod_cast theorem intCast_rightInverse : Function.RightInverse (cast : ZMod n → ℤ) ((↑) : ℤ → ZMod n) := intCast_zmod_cast #align zmod.int_cast_right_inverse ZMod.intCast_rightInverse @[deprecated (since := "2024-04-17")] alias int_cast_rightInverse := intCast_rightInverse theorem intCast_surjective : Function.Surjective ((↑) : ℤ → ZMod n) := intCast_rightInverse.surjective #align zmod.int_cast_surjective ZMod.intCast_surjective @[deprecated (since := "2024-04-17")] alias int_cast_surjective := intCast_surjective theorem cast_id : ∀ (n) (i : ZMod n), (ZMod.cast i : ZMod n) = i | 0, _ => Int.cast_id | _ + 1, i => natCast_zmod_val i #align zmod.cast_id ZMod.cast_id @[simp] theorem cast_id' : (ZMod.cast : ZMod n → ZMod n) = id := funext (cast_id n) #align zmod.cast_id' ZMod.cast_id' variable (R) [Ring R] @[simp] theorem natCast_comp_val [NeZero n] : ((↑) : ℕ → R) ∘ (val : ZMod n → ℕ) = cast := by cases n · cases NeZero.ne 0 rfl rfl #align zmod.nat_cast_comp_val ZMod.natCast_comp_val @[deprecated (since := "2024-04-17")] alias nat_cast_comp_val := natCast_comp_val @[simp] theorem intCast_comp_cast : ((↑) : ℤ → R) ∘ (cast : ZMod n → ℤ) = cast := by cases n · exact congr_arg (Int.cast ∘ ·) ZMod.cast_id' · ext simp [ZMod, ZMod.cast] #align zmod.int_cast_comp_cast ZMod.intCast_comp_cast @[deprecated (since := "2024-04-17")] alias int_cast_comp_cast := intCast_comp_cast variable {R} @[simp] theorem natCast_val [NeZero n] (i : ZMod n) : (i.val : R) = cast i := congr_fun (natCast_comp_val R) i #align zmod.nat_cast_val ZMod.natCast_val @[deprecated (since := "2024-04-17")] alias nat_cast_val := natCast_val @[simp] theorem intCast_cast (i : ZMod n) : ((cast i : ℤ) : R) = cast i := congr_fun (intCast_comp_cast R) i #align zmod.int_cast_cast ZMod.intCast_cast @[deprecated (since := "2024-04-17")] alias int_cast_cast := intCast_cast theorem cast_add_eq_ite {n : ℕ} (a b : ZMod n) : (cast (a + b) : ℤ) = if (n : ℤ) ≤ cast a + cast b then (cast a + cast b - n : ℤ) else cast a + cast b := by cases' n with n · simp; rfl change Fin (n + 1) at a b change ((((a + b) : Fin (n + 1)) : ℕ) : ℤ) = if ((n + 1 : ℕ) : ℤ) ≤ (a : ℕ) + b then _ else _ simp only [Fin.val_add_eq_ite, Int.ofNat_succ, Int.ofNat_le] norm_cast split_ifs with h · rw [Nat.cast_sub h] congr · rfl #align zmod.coe_add_eq_ite ZMod.cast_add_eq_ite section CharDvd variable {m : ℕ} [CharP R m] @[simp]
Mathlib/Data/ZMod/Basic.lean
335
346
theorem cast_one (h : m ∣ n) : (cast (1 : ZMod n) : R) = 1 := by
cases' n with n · exact Int.cast_one show ((1 % (n + 1) : ℕ) : R) = 1 cases n; · rw [Nat.dvd_one] at h subst m have : Subsingleton R := CharP.CharOne.subsingleton apply Subsingleton.elim rw [Nat.mod_eq_of_lt] · exact Nat.cast_one exact Nat.lt_of_sub_eq_succ rfl
import Mathlib.Algebra.Homology.Homotopy import Mathlib.AlgebraicTopology.DoldKan.Notations #align_import algebraic_topology.dold_kan.homotopies from "leanprover-community/mathlib"@"b12099d3b7febf4209824444dd836ef5ad96db55" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive CategoryTheory.SimplicialObject Homotopy Opposite Simplicial DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] variable {X : SimplicialObject C} abbrev c := ComplexShape.down ℕ #align algebraic_topology.dold_kan.c AlgebraicTopology.DoldKan.c theorem c_mk (i j : ℕ) (h : j + 1 = i) : c.Rel i j := ComplexShape.down_mk i j h #align algebraic_topology.dold_kan.c_mk AlgebraicTopology.DoldKan.c_mk theorem cs_down_0_not_rel_left (j : ℕ) : ¬c.Rel 0 j := by intro hj dsimp at hj apply Nat.not_succ_le_zero j rw [Nat.succ_eq_add_one, hj] #align algebraic_topology.dold_kan.cs_down_0_not_rel_left AlgebraicTopology.DoldKan.cs_down_0_not_rel_left def hσ (q : ℕ) (n : ℕ) : X _[n] ⟶ X _[n + 1] := if n < q then 0 else (-1 : ℤ) ^ (n - q) • X.σ ⟨n - q, Nat.lt_succ_of_le (Nat.sub_le _ _)⟩ #align algebraic_topology.dold_kan.hσ AlgebraicTopology.DoldKan.hσ def hσ' (q : ℕ) : ∀ n m, c.Rel m n → (K[X].X n ⟶ K[X].X m) := fun n m hnm => hσ q n ≫ eqToHom (by congr) #align algebraic_topology.dold_kan.hσ' AlgebraicTopology.DoldKan.hσ' theorem hσ'_eq_zero {q n m : ℕ} (hnq : n < q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = 0 := by simp only [hσ', hσ] split_ifs exact zero_comp #align algebraic_topology.dold_kan.hσ'_eq_zero AlgebraicTopology.DoldKan.hσ'_eq_zero theorem hσ'_eq {q n a m : ℕ} (ha : n = a + q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = ((-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩) ≫ eqToHom (by congr) := by simp only [hσ', hσ] split_ifs · omega · have h' := tsub_eq_of_eq_add ha congr #align algebraic_topology.dold_kan.hσ'_eq AlgebraicTopology.DoldKan.hσ'_eq theorem hσ'_eq' {q n a : ℕ} (ha : n = a + q) : (hσ' q n (n + 1) rfl : X _[n] ⟶ X _[n + 1]) = (-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩ := by rw [hσ'_eq ha rfl, eqToHom_refl, comp_id] #align algebraic_topology.dold_kan.hσ'_eq' AlgebraicTopology.DoldKan.hσ'_eq' def Hσ (q : ℕ) : K[X] ⟶ K[X] := nullHomotopicMap' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Hσ AlgebraicTopology.DoldKan.hσ def homotopyHσToZero (q : ℕ) : Homotopy (Hσ q : K[X] ⟶ K[X]) 0 := nullHomotopy' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.homotopy_Hσ_to_zero AlgebraicTopology.DoldKan.homotopyHσToZero
Mathlib/AlgebraicTopology/DoldKan/Homotopies.lean
141
151
theorem Hσ_eq_zero (q : ℕ) : (Hσ q : K[X] ⟶ K[X]).f 0 = 0 := by
unfold Hσ rw [nullHomotopicMap'_f_of_not_rel_left (c_mk 1 0 rfl) cs_down_0_not_rel_left] rcases q with (_|q) · rw [hσ'_eq (show 0 = 0 + 0 by rfl) (c_mk 1 0 rfl)] simp only [pow_zero, Fin.mk_zero, one_zsmul, eqToHom_refl, Category.comp_id] erw [ChainComplex.of_d] rw [AlternatingFaceMapComplex.objD, Fin.sum_univ_two, Fin.val_zero, Fin.val_one, pow_zero, pow_one, one_smul, neg_smul, one_smul, comp_add, comp_neg, add_neg_eq_zero] erw [δ_comp_σ_self, δ_comp_σ_succ] · rw [hσ'_eq_zero (Nat.succ_pos q) (c_mk 1 0 rfl), zero_comp]