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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] 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] #align simple_graph.walk.darts_reverse SimpleGraph.Walk.darts_reverse theorem mem_darts_reverse {u v : V} {d : G.Dart} {p : G.Walk u v} : d ∈ p.reverse.darts ↔ d.symm ∈ p.darts := by simp #align simple_graph.walk.mem_darts_reverse SimpleGraph.Walk.mem_darts_reverse theorem cons_map_snd_darts {u v : V} (p : G.Walk u v) : (u :: p.darts.map (·.snd)) = p.support := by induction p <;> simp! [*] #align simple_graph.walk.cons_map_snd_darts SimpleGraph.Walk.cons_map_snd_darts theorem map_snd_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.snd) = p.support.tail := by simpa using congr_arg List.tail (cons_map_snd_darts p) #align simple_graph.walk.map_snd_darts SimpleGraph.Walk.map_snd_darts theorem map_fst_darts_append {u v : V} (p : G.Walk u v) : p.darts.map (·.fst) ++ [v] = p.support := by induction p <;> simp! [*] #align simple_graph.walk.map_fst_darts_append SimpleGraph.Walk.map_fst_darts_append theorem map_fst_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.fst) = p.support.dropLast := by simpa! using congr_arg List.dropLast (map_fst_darts_append p) #align simple_graph.walk.map_fst_darts SimpleGraph.Walk.map_fst_darts @[simp] theorem edges_nil {u : V} : (nil : G.Walk u u).edges = [] := rfl #align simple_graph.walk.edges_nil SimpleGraph.Walk.edges_nil @[simp] theorem edges_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).edges = s(u, v) :: p.edges := rfl #align simple_graph.walk.edges_cons SimpleGraph.Walk.edges_cons @[simp] theorem edges_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).edges = p.edges.concat s(v, w) := by simp [edges] #align simple_graph.walk.edges_concat SimpleGraph.Walk.edges_concat @[simp] theorem edges_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).edges = p.edges := by subst_vars rfl #align simple_graph.walk.edges_copy SimpleGraph.Walk.edges_copy @[simp] theorem edges_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : (p.append p').edges = p.edges ++ p'.edges := by simp [edges] #align simple_graph.walk.edges_append SimpleGraph.Walk.edges_append @[simp] theorem edges_reverse {u v : V} (p : G.Walk u v) : p.reverse.edges = p.edges.reverse := by simp [edges, List.map_reverse] #align simple_graph.walk.edges_reverse SimpleGraph.Walk.edges_reverse @[simp] theorem length_support {u v : V} (p : G.Walk u v) : p.support.length = p.length + 1 := by induction p <;> simp [*] #align simple_graph.walk.length_support SimpleGraph.Walk.length_support @[simp] theorem length_darts {u v : V} (p : G.Walk u v) : p.darts.length = p.length := by induction p <;> simp [*] #align simple_graph.walk.length_darts SimpleGraph.Walk.length_darts @[simp] theorem length_edges {u v : V} (p : G.Walk u v) : p.edges.length = p.length := by simp [edges] #align simple_graph.walk.length_edges SimpleGraph.Walk.length_edges theorem dart_fst_mem_support_of_mem_darts {u v : V} : ∀ (p : G.Walk u v) {d : G.Dart}, d ∈ p.darts → d.fst ∈ p.support | cons h p', d, hd => by simp only [support_cons, darts_cons, List.mem_cons] at hd ⊢ rcases hd with (rfl | hd) · exact Or.inl rfl · exact Or.inr (dart_fst_mem_support_of_mem_darts _ hd) #align simple_graph.walk.dart_fst_mem_support_of_mem_darts SimpleGraph.Walk.dart_fst_mem_support_of_mem_darts theorem dart_snd_mem_support_of_mem_darts {u v : V} (p : G.Walk u v) {d : G.Dart} (h : d ∈ p.darts) : d.snd ∈ p.support := by simpa using p.reverse.dart_fst_mem_support_of_mem_darts (by simp [h] : d.symm ∈ p.reverse.darts) #align simple_graph.walk.dart_snd_mem_support_of_mem_darts SimpleGraph.Walk.dart_snd_mem_support_of_mem_darts theorem fst_mem_support_of_mem_edges {t u v w : V} (p : G.Walk v w) (he : s(t, u) ∈ p.edges) : t ∈ p.support := by obtain ⟨d, hd, he⟩ := List.mem_map.mp he rw [dart_edge_eq_mk'_iff'] at he rcases he with (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩) · exact dart_fst_mem_support_of_mem_darts _ hd · exact dart_snd_mem_support_of_mem_darts _ hd #align simple_graph.walk.fst_mem_support_of_mem_edges SimpleGraph.Walk.fst_mem_support_of_mem_edges theorem snd_mem_support_of_mem_edges {t u v w : V} (p : G.Walk v w) (he : s(t, u) ∈ p.edges) : u ∈ p.support := by rw [Sym2.eq_swap] at he exact p.fst_mem_support_of_mem_edges he #align simple_graph.walk.snd_mem_support_of_mem_edges SimpleGraph.Walk.snd_mem_support_of_mem_edges
Mathlib/Combinatorics/SimpleGraph/Connectivity.lean
830
836
theorem darts_nodup_of_support_nodup {u v : V} {p : G.Walk u v} (h : p.support.Nodup) : p.darts.Nodup := by
induction p with | nil => simp | cons _ p' ih => simp only [darts_cons, support_cons, List.nodup_cons] at h ⊢ exact ⟨fun h' => h.1 (dart_fst_mem_support_of_mem_darts p' h'), ih h.2⟩
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⟩⟩⟩ 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 theorem SeparatesPoints.mono {m m' : MeasurableSpace α} [hsep : @SeparatesPoints _ m] (h : m ≤ m') : @SeparatesPoints _ m' := @SeparatesPoints.mk _ m' fun _ _ hxy ↦ @SeparatesPoints.separates _ m hsep _ _ fun _ hs ↦ hxy _ (h _ hs) class CountablySeparated (α : Type*) [MeasurableSpace α] : Prop where countably_separated : HasCountableSeparatingOn α MeasurableSet univ instance countablySeparated_of_hasCountableSeparatingOn [MeasurableSpace α] [h : HasCountableSeparatingOn α MeasurableSet univ] : CountablySeparated α := ⟨h⟩ instance hasCountableSeparatingOn_of_countablySeparated [MeasurableSpace α] [h : CountablySeparated α] : HasCountableSeparatingOn α MeasurableSet univ := h.countably_separated theorem countablySeparated_def [MeasurableSpace α] : CountablySeparated α ↔ HasCountableSeparatingOn α MeasurableSet univ := ⟨fun h ↦ h.countably_separated, fun h ↦ ⟨h⟩⟩ theorem CountablySeparated.mono {m m' : MeasurableSpace α} [hsep : @CountablySeparated _ m] (h : m ≤ m') : @CountablySeparated _ m' := by simp_rw [countablySeparated_def] at * rcases hsep with ⟨S, Sct, Smeas, hS⟩ use S, Sct, (fun s hs ↦ h _ <| Smeas _ hs), hS
Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean
191
194
theorem CountablySeparated.subtype_iff [MeasurableSpace α] {s : Set α} : CountablySeparated s ↔ HasCountableSeparatingOn α MeasurableSet s := by
rw [countablySeparated_def] exact HasCountableSeparatingOn.subtype_iff
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct
Mathlib/Data/Seq/WSeq.lean
504
518
theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by
cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩
import Mathlib.Algebra.Order.Floor import Mathlib.Algebra.Order.Field.Power import Mathlib.Data.Nat.Log #align_import data.int.log from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" variable {R : Type*} [LinearOrderedSemifield R] [FloorSemiring R] namespace Int def log (b : ℕ) (r : R) : ℤ := if 1 ≤ r then Nat.log b ⌊r⌋₊ else -Nat.clog b ⌈r⁻¹⌉₊ #align int.log Int.log theorem log_of_one_le_right (b : ℕ) {r : R} (hr : 1 ≤ r) : log b r = Nat.log b ⌊r⌋₊ := if_pos hr #align int.log_of_one_le_right Int.log_of_one_le_right theorem log_of_right_le_one (b : ℕ) {r : R} (hr : r ≤ 1) : log b r = -Nat.clog b ⌈r⁻¹⌉₊ := by obtain rfl | hr := hr.eq_or_lt · rw [log, if_pos hr, inv_one, Nat.ceil_one, Nat.floor_one, Nat.log_one_right, Nat.clog_one_right, Int.ofNat_zero, neg_zero] · exact if_neg hr.not_le #align int.log_of_right_le_one Int.log_of_right_le_one @[simp, norm_cast] theorem log_natCast (b : ℕ) (n : ℕ) : log b (n : R) = Nat.log b n := by cases n · simp [log_of_right_le_one] · rw [log_of_one_le_right, Nat.floor_natCast] simp #align int.log_nat_cast Int.log_natCast -- See note [no_index around OfNat.ofNat] @[simp] theorem log_ofNat (b : ℕ) (n : ℕ) [n.AtLeastTwo] : log b (no_index (OfNat.ofNat n : R)) = Nat.log b (OfNat.ofNat n) := log_natCast b n
Mathlib/Data/Int/Log.lean
87
90
theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (r : R) : log b r = 0 := by
rcases le_total 1 r with h | h · rw [log_of_one_le_right _ h, Nat.log_of_left_le_one hb, Int.ofNat_zero] · rw [log_of_right_le_one _ h, Nat.clog_of_left_le_one hb, Int.ofNat_zero, neg_zero]
import Mathlib.CategoryTheory.ConcreteCategory.Basic import Mathlib.CategoryTheory.Limits.Preserves.Basic import Mathlib.CategoryTheory.Limits.TypesFiltered import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.Tactic.ApplyFun #align_import category_theory.limits.concrete_category from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" universe t w v u r open CategoryTheory namespace CategoryTheory.Limits attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort section Colimits section variable {C : Type u} [Category.{v} C] [ConcreteCategory.{t} C] {J : Type w} [Category.{r} J] (F : J ⥤ C) [PreservesColimit F (forget C)] theorem Concrete.from_union_surjective_of_isColimit {D : Cocone F} (hD : IsColimit D) : let ff : (Σj : J, F.obj j) → D.pt := fun a => D.ι.app a.1 a.2 Function.Surjective ff := by intro ff x let E : Cocone (F ⋙ forget C) := (forget C).mapCocone D let hE : IsColimit E := isColimitOfPreserves (forget C) hD obtain ⟨j, y, hy⟩ := Types.jointly_surjective_of_isColimit hE x exact ⟨⟨j, y⟩, hy⟩ #align category_theory.limits.concrete.from_union_surjective_of_is_colimit CategoryTheory.Limits.Concrete.from_union_surjective_of_isColimit theorem Concrete.isColimit_exists_rep {D : Cocone F} (hD : IsColimit D) (x : D.pt) : ∃ (j : J) (y : F.obj j), D.ι.app j y = x := by obtain ⟨a, rfl⟩ := Concrete.from_union_surjective_of_isColimit F hD x exact ⟨a.1, a.2, rfl⟩ #align category_theory.limits.concrete.is_colimit_exists_rep CategoryTheory.Limits.Concrete.isColimit_exists_rep theorem Concrete.colimit_exists_rep [HasColimit F] (x : ↑(colimit F)) : ∃ (j : J) (y : F.obj j), colimit.ι F j y = x := Concrete.isColimit_exists_rep F (colimit.isColimit _) x #align category_theory.limits.concrete.colimit_exists_rep CategoryTheory.Limits.Concrete.colimit_exists_rep theorem Concrete.isColimit_rep_eq_of_exists {D : Cocone F} {i j : J} (x : F.obj i) (y : F.obj j) (h : ∃ (k : _) (f : i ⟶ k) (g : j ⟶ k), F.map f x = F.map g y) : D.ι.app i x = D.ι.app j y := by let E := (forget C).mapCocone D obtain ⟨k, f, g, (hfg : (F ⋙ forget C).map f x = F.map g y)⟩ := h let h1 : (F ⋙ forget C).map f ≫ E.ι.app k = E.ι.app i := E.ι.naturality f let h2 : (F ⋙ forget C).map g ≫ E.ι.app k = E.ι.app j := E.ι.naturality g show E.ι.app i x = E.ι.app j y rw [← h1, types_comp_apply, hfg] exact congrFun h2 y #align category_theory.limits.concrete.is_colimit_rep_eq_of_exists CategoryTheory.Limits.Concrete.isColimit_rep_eq_of_exists theorem Concrete.colimit_rep_eq_of_exists [HasColimit F] {i j : J} (x : F.obj i) (y : F.obj j) (h : ∃ (k : _) (f : i ⟶ k) (g : j ⟶ k), F.map f x = F.map g y) : colimit.ι F i x = colimit.ι F j y := Concrete.isColimit_rep_eq_of_exists F x y h #align category_theory.limits.concrete.colimit_rep_eq_of_exists CategoryTheory.Limits.Concrete.colimit_rep_eq_of_exists end section FilteredColimits variable {C : Type u} [Category.{v} C] [ConcreteCategory.{max t w} C] {J : Type w} [Category.{r} J] (F : J ⥤ C) [PreservesColimit F (forget C)] [IsFiltered J]
Mathlib/CategoryTheory/Limits/ConcreteCategory.lean
122
127
theorem Concrete.isColimit_exists_of_rep_eq {D : Cocone F} {i j : J} (hD : IsColimit D) (x : F.obj i) (y : F.obj j) (h : D.ι.app _ x = D.ι.app _ y) : ∃ (k : _) (f : i ⟶ k) (g : j ⟶ k), F.map f x = F.map g y := by
let E := (forget C).mapCocone D let hE : IsColimit E := isColimitOfPreserves _ hD exact (Types.FilteredColimit.isColimit_eq_iff (F ⋙ forget C) hE).mp h
import Mathlib.Control.Monad.Basic import Mathlib.Control.Monad.Writer import Mathlib.Init.Control.Lawful #align_import control.monad.cont from "leanprover-community/mathlib"@"d6814c584384ddf2825ff038e868451a7c956f31" universe u v w u₀ u₁ v₀ v₁ structure MonadCont.Label (α : Type w) (m : Type u → Type v) (β : Type u) where apply : α → m β #align monad_cont.label MonadCont.Label def MonadCont.goto {α β} {m : Type u → Type v} (f : MonadCont.Label α m β) (x : α) := f.apply x #align monad_cont.goto MonadCont.goto class MonadCont (m : Type u → Type v) where callCC : ∀ {α β}, (MonadCont.Label α m β → m α) → m α #align monad_cont MonadCont open MonadCont class LawfulMonadCont (m : Type u → Type v) [Monad m] [MonadCont m] extends LawfulMonad m : Prop where callCC_bind_right {α ω γ} (cmd : m α) (next : Label ω m γ → α → m ω) : (callCC fun f => cmd >>= next f) = cmd >>= fun x => callCC fun f => next f x callCC_bind_left {α} (β) (x : α) (dead : Label α m β → β → m α) : (callCC fun f : Label α m β => goto f x >>= dead f) = pure x callCC_dummy {α β} (dummy : m α) : (callCC fun _ : Label α m β => dummy) = dummy #align is_lawful_monad_cont LawfulMonadCont export LawfulMonadCont (callCC_bind_right callCC_bind_left callCC_dummy) def ContT (r : Type u) (m : Type u → Type v) (α : Type w) := (α → m r) → m r #align cont_t ContT abbrev Cont (r : Type u) (α : Type w) := ContT r id α #align cont Cont variable {m : Type u → Type v} [Monad m] def ExceptT.mkLabel {α β ε} : Label (Except.{u, u} ε α) m β → Label α (ExceptT ε m) β | ⟨f⟩ => ⟨fun a => monadLift <| f (Except.ok a)⟩ #align except_t.mk_label ExceptTₓ.mkLabel theorem ExceptT.goto_mkLabel {α β ε : Type _} (x : Label (Except.{u, u} ε α) m β) (i : α) : goto (ExceptT.mkLabel x) i = ExceptT.mk (Except.ok <$> goto x (Except.ok i)) := by cases x; rfl #align except_t.goto_mk_label ExceptTₓ.goto_mkLabel nonrec def ExceptT.callCC {ε} [MonadCont m] {α β : Type _} (f : Label α (ExceptT ε m) β → ExceptT ε m α) : ExceptT ε m α := ExceptT.mk (callCC fun x : Label _ m β => ExceptT.run <| f (ExceptT.mkLabel x)) #align except_t.call_cc ExceptTₓ.callCC instance {ε} [MonadCont m] : MonadCont (ExceptT ε m) where callCC := ExceptT.callCC instance {ε} [MonadCont m] [LawfulMonadCont m] : LawfulMonadCont (ExceptT ε m) where callCC_bind_right := by intros; simp only [callCC, ExceptT.callCC, ExceptT.run_bind, callCC_bind_right]; ext dsimp congr with ⟨⟩ <;> simp [ExceptT.bindCont, @callCC_dummy m _] callCC_bind_left := by intros simp only [callCC, ExceptT.callCC, ExceptT.goto_mkLabel, map_eq_bind_pure_comp, Function.comp, ExceptT.run_bind, ExceptT.run_mk, bind_assoc, pure_bind, @callCC_bind_left m _] ext; rfl callCC_dummy := by intros; simp only [callCC, ExceptT.callCC, @callCC_dummy m _]; ext; rfl def OptionT.mkLabel {α β} : Label (Option.{u} α) m β → Label α (OptionT m) β | ⟨f⟩ => ⟨fun a => monadLift <| f (some a)⟩ #align option_t.mk_label OptionTₓ.mkLabel theorem OptionT.goto_mkLabel {α β : Type _} (x : Label (Option.{u} α) m β) (i : α) : goto (OptionT.mkLabel x) i = OptionT.mk (goto x (some i) >>= fun a => pure (some a)) := rfl #align option_t.goto_mk_label OptionTₓ.goto_mkLabel nonrec def OptionT.callCC [MonadCont m] {α β : Type _} (f : Label α (OptionT m) β → OptionT m α) : OptionT m α := OptionT.mk (callCC fun x : Label _ m β => OptionT.run <| f (OptionT.mkLabel x) : m (Option α)) #align option_t.call_cc OptionTₓ.callCC instance [MonadCont m] : MonadCont (OptionT m) where callCC := OptionT.callCC instance [MonadCont m] [LawfulMonadCont m] : LawfulMonadCont (OptionT m) where callCC_bind_right := by intros; simp only [callCC, OptionT.callCC, OptionT.run_bind, callCC_bind_right]; ext dsimp congr with ⟨⟩ <;> simp [@callCC_dummy m _] callCC_bind_left := by intros; simp only [callCC, OptionT.callCC, OptionT.goto_mkLabel, OptionT.run_bind, OptionT.run_mk, bind_assoc, pure_bind, @callCC_bind_left m _] ext; rfl callCC_dummy := by intros; simp only [callCC, OptionT.callCC, @callCC_dummy m _]; ext; rfl def WriterT.mkLabel {α β ω} [EmptyCollection ω] : Label (α × ω) m β → Label α (WriterT ω m) β | ⟨f⟩ => ⟨fun a => monadLift <| f (a, ∅)⟩ def WriterT.mkLabel' {α β ω} [Monoid ω] : Label (α × ω) m β → Label α (WriterT ω m) β | ⟨f⟩ => ⟨fun a => monadLift <| f (a, 1)⟩ #align writer_t.mk_label WriterTₓ.mkLabel' theorem WriterT.goto_mkLabel {α β ω : Type _} [EmptyCollection ω] (x : Label (α × ω) m β) (i : α) : goto (WriterT.mkLabel x) i = monadLift (goto x (i, ∅)) := by cases x; rfl
Mathlib/Control/Monad/Cont.lean
196
197
theorem WriterT.goto_mkLabel' {α β ω : Type _} [Monoid ω] (x : Label (α × ω) m β) (i : α) : goto (WriterT.mkLabel' x) i = monadLift (goto x (i, 1)) := by
cases x; rfl
import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Bitwise import Mathlib.Data.Nat.Size #align_import data.int.bitwise from "leanprover-community/mathlib"@"0743cc5d9d86bcd1bba10f480e948a257d65056f" #align_import init.data.int.bitwise from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" namespace Int def div2 : ℤ → ℤ | (n : ℕ) => n.div2 | -[n +1] => negSucc n.div2 #align int.div2 Int.div2 def bodd : ℤ → Bool | (n : ℕ) => n.bodd | -[n +1] => not (n.bodd) #align int.bodd Int.bodd -- Porting note: `bit0, bit1` deprecated, do we need to adapt `bit`? set_option linter.deprecated false in def bit (b : Bool) : ℤ → ℤ := cond b bit1 bit0 #align int.bit Int.bit def testBit : ℤ → ℕ → Bool | (m : ℕ), n => Nat.testBit m n | -[m +1], n => !(Nat.testBit m n) #align int.test_bit Int.testBit def natBitwise (f : Bool → Bool → Bool) (m n : ℕ) : ℤ := cond (f false false) -[ Nat.bitwise (fun x y => not (f x y)) m n +1] (Nat.bitwise f m n) #align int.nat_bitwise Int.natBitwise def bitwise (f : Bool → Bool → Bool) : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => natBitwise f m n | (m : ℕ), -[n +1] => natBitwise (fun x y => f x (not y)) m n | -[m +1], (n : ℕ) => natBitwise (fun x y => f (not x) y) m n | -[m +1], -[n +1] => natBitwise (fun x y => f (not x) (not y)) m n #align int.bitwise Int.bitwise def lnot : ℤ → ℤ | (m : ℕ) => -[m +1] | -[m +1] => m #align int.lnot Int.lnot def lor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m ||| n | (m : ℕ), -[n +1] => -[Nat.ldiff n m +1] | -[m +1], (n : ℕ) => -[Nat.ldiff m n +1] | -[m +1], -[n +1] => -[m &&& n +1] #align int.lor Int.lor def land : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m &&& n | (m : ℕ), -[n +1] => Nat.ldiff m n | -[m +1], (n : ℕ) => Nat.ldiff n m | -[m +1], -[n +1] => -[m ||| n +1] #align int.land Int.land -- Porting note: I don't know why `Nat.ldiff` got the prime, but I'm matching this change here def ldiff : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => Nat.ldiff m n | (m : ℕ), -[n +1] => m &&& n | -[m +1], (n : ℕ) => -[m ||| n +1] | -[m +1], -[n +1] => Nat.ldiff n m #align int.ldiff Int.ldiff -- Porting note: I don't know why `Nat.xor'` got the prime, but I'm matching this change here protected def xor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => (m ^^^ n) | (m : ℕ), -[n +1] => -[(m ^^^ n) +1] | -[m +1], (n : ℕ) => -[(m ^^^ n) +1] | -[m +1], -[n +1] => (m ^^^ n) #align int.lxor Int.xor instance : ShiftLeft ℤ where shiftLeft | (m : ℕ), (n : ℕ) => Nat.shiftLeft' false m n | (m : ℕ), -[n +1] => m >>> (Nat.succ n) | -[m +1], (n : ℕ) => -[Nat.shiftLeft' true m n +1] | -[m +1], -[n +1] => -[m >>> (Nat.succ n) +1] #align int.shiftl ShiftLeft.shiftLeft instance : ShiftRight ℤ where shiftRight m n := m <<< (-n) #align int.shiftr ShiftRight.shiftRight @[simp] theorem bodd_zero : bodd 0 = false := rfl #align int.bodd_zero Int.bodd_zero @[simp] theorem bodd_one : bodd 1 = true := rfl #align int.bodd_one Int.bodd_one theorem bodd_two : bodd 2 = false := rfl #align int.bodd_two Int.bodd_two @[simp, norm_cast] theorem bodd_coe (n : ℕ) : Int.bodd n = Nat.bodd n := rfl #align int.bodd_coe Int.bodd_coe @[simp]
Mathlib/Data/Int/Bitwise.lean
145
149
theorem bodd_subNatNat (m n : ℕ) : bodd (subNatNat m n) = xor m.bodd n.bodd := by
apply subNatNat_elim m n fun m n i => bodd i = xor m.bodd n.bodd <;> intros i j <;> simp only [Int.bodd, Int.bodd_coe, Nat.bodd_add] <;> cases Nat.bodd i <;> simp
import Mathlib.Algebra.BigOperators.Fin import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.Prod import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Tactic.FinCases import Mathlib.Tactic.LinearCombination import Mathlib.Lean.Expr.ExtraRecognizers import Mathlib.Data.Set.Subsingleton #align_import linear_algebra.linear_independent from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" noncomputable section open Function Set Submodule open Cardinal universe u' u variable {ι : Type u'} {ι' : Type*} {R : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable {v : ι → M} variable [Semiring R] [AddCommMonoid M] [AddCommMonoid M'] [AddCommMonoid M''] variable [Module R M] [Module R M'] [Module R M''] variable {a b : R} {x y : M} variable (R) (v) def LinearIndependent : Prop := LinearMap.ker (Finsupp.total ι M R v) = ⊥ #align linear_independent LinearIndependent open Lean PrettyPrinter.Delaborator SubExpr in @[delab app.LinearIndependent] def delabLinearIndependent : Delab := whenPPOption getPPNotation <| whenNotPPOption getPPAnalysisSkip <| withOptionAtCurrPos `pp.analysis.skip true do let e ← getExpr guard <| e.isAppOfArity ``LinearIndependent 7 let some _ := (e.getArg! 0).coeTypeSet? | failure let optionsPerPos ← if (e.getArg! 3).isLambda then withNaryArg 3 do return (← read).optionsPerPos.setBool (← getPos) pp.funBinderTypes.name true else withNaryArg 0 do return (← read).optionsPerPos.setBool (← getPos) `pp.analysis.namedArg true withTheReader Context ({· with optionsPerPos}) delab variable {R} {v} theorem linearIndependent_iff : LinearIndependent R v ↔ ∀ l, Finsupp.total ι M R v l = 0 → l = 0 := by simp [LinearIndependent, LinearMap.ker_eq_bot'] #align linear_independent_iff linearIndependent_iff theorem linearIndependent_iff' : LinearIndependent R v ↔ ∀ s : Finset ι, ∀ g : ι → R, ∑ i ∈ s, g i • v i = 0 → ∀ i ∈ s, g i = 0 := linearIndependent_iff.trans ⟨fun hf s g hg i his => have h := hf (∑ i ∈ s, Finsupp.single i (g i)) <| by simpa only [map_sum, Finsupp.total_single] using hg calc g i = (Finsupp.lapply i : (ι →₀ R) →ₗ[R] R) (Finsupp.single i (g i)) := by { rw [Finsupp.lapply_apply, Finsupp.single_eq_same] } _ = ∑ j ∈ s, (Finsupp.lapply i : (ι →₀ R) →ₗ[R] R) (Finsupp.single j (g j)) := Eq.symm <| Finset.sum_eq_single i (fun j _hjs hji => by rw [Finsupp.lapply_apply, Finsupp.single_eq_of_ne hji]) fun hnis => hnis.elim his _ = (∑ j ∈ s, Finsupp.single j (g j)) i := (map_sum ..).symm _ = 0 := DFunLike.ext_iff.1 h i, fun hf l hl => Finsupp.ext fun i => _root_.by_contradiction fun hni => hni <| hf _ _ hl _ <| Finsupp.mem_support_iff.2 hni⟩ #align linear_independent_iff' linearIndependent_iff' theorem linearIndependent_iff'' : LinearIndependent R v ↔ ∀ (s : Finset ι) (g : ι → R), (∀ i ∉ s, g i = 0) → ∑ i ∈ s, g i • v i = 0 → ∀ i, g i = 0 := by classical exact linearIndependent_iff'.trans ⟨fun H s g hg hv i => if his : i ∈ s then H s g hv i his else hg i his, fun H s g hg i hi => by convert H s (fun j => if j ∈ s then g j else 0) (fun j hj => if_neg hj) (by simp_rw [ite_smul, zero_smul, Finset.sum_extend_by_zero, hg]) i exact (if_pos hi).symm⟩ #align linear_independent_iff'' linearIndependent_iff'' theorem not_linearIndependent_iff : ¬LinearIndependent R v ↔ ∃ s : Finset ι, ∃ g : ι → R, ∑ i ∈ s, g i • v i = 0 ∧ ∃ i ∈ s, g i ≠ 0 := by rw [linearIndependent_iff'] simp only [exists_prop, not_forall] #align not_linear_independent_iff not_linearIndependent_iff theorem Fintype.linearIndependent_iff [Fintype ι] : LinearIndependent R v ↔ ∀ g : ι → R, ∑ i, g i • v i = 0 → ∀ i, g i = 0 := by refine ⟨fun H g => by simpa using linearIndependent_iff'.1 H Finset.univ g, fun H => linearIndependent_iff''.2 fun s g hg hs i => H _ ?_ _⟩ rw [← hs] refine (Finset.sum_subset (Finset.subset_univ _) fun i _ hi => ?_).symm rw [hg i hi, zero_smul] #align fintype.linear_independent_iff Fintype.linearIndependent_iff
Mathlib/LinearAlgebra/LinearIndependent.lean
186
189
theorem Fintype.linearIndependent_iff' [Fintype ι] [DecidableEq ι] : LinearIndependent R v ↔ LinearMap.ker (LinearMap.lsum R (fun _ ↦ R) ℕ fun i ↦ LinearMap.id.smulRight (v i)) = ⊥ := by
simp [Fintype.linearIndependent_iff, LinearMap.ker_eq_bot', funext_iff]
import Mathlib.Algebra.Group.Subgroup.Finite import Mathlib.Data.Finset.Fin import Mathlib.Data.Finset.Sort import Mathlib.Data.Int.Order.Units import Mathlib.GroupTheory.Perm.Support import Mathlib.Logic.Equiv.Fin import Mathlib.Tactic.NormNum.Ineq #align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u v open Equiv Function Fintype Finset variable {α : Type u} [DecidableEq α] {β : Type v} namespace Equiv.Perm def modSwap (i j : α) : Setoid (Perm α) := ⟨fun σ τ => σ = τ ∨ σ = swap i j * τ, fun σ => Or.inl (refl σ), fun {σ τ} h => Or.casesOn h (fun h => Or.inl h.symm) fun h => Or.inr (by rw [h, swap_mul_self_mul]), fun {σ τ υ} hστ hτυ => by cases' hστ with hστ hστ <;> cases' hτυ with hτυ hτυ <;> try rw [hστ, hτυ, swap_mul_self_mul] <;> simp [hστ, hτυ] -- Porting note: should close goals, but doesn't · simp [hστ, hτυ] · simp [hστ, hτυ] · simp [hστ, hτυ]⟩ #align equiv.perm.mod_swap Equiv.Perm.modSwap noncomputable instance {α : Type*} [Fintype α] [DecidableEq α] (i j : α) : DecidableRel (modSwap i j).r := fun _ _ => Or.decidable def swapFactorsAux : ∀ (l : List α) (f : Perm α), (∀ {x}, f x ≠ x → x ∈ l) → { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } | [] => fun f h => ⟨[], Equiv.ext fun x => by rw [List.prod_nil] exact (Classical.not_not.1 (mt h (List.not_mem_nil _))).symm, by simp⟩ | x::l => fun f h => if hfx : x = f x then swapFactorsAux l f fun {y} hy => List.mem_of_ne_of_mem (fun h : y = x => by simp [h, hfx.symm] at hy) (h hy) else let m := swapFactorsAux l (swap x (f x) * f) fun {y} hy => have : f y ≠ y ∧ y ≠ x := ne_and_ne_of_swap_mul_apply_ne_self hy List.mem_of_ne_of_mem this.2 (h this.1) ⟨swap x (f x)::m.1, by rw [List.prod_cons, m.2.1, ← mul_assoc, mul_def (swap x (f x)), swap_swap, ← one_def, one_mul], fun {g} hg => ((List.mem_cons).1 hg).elim (fun h => ⟨x, f x, hfx, h⟩) (m.2.2 _)⟩ #align equiv.perm.swap_factors_aux Equiv.Perm.swapFactorsAux def swapFactors [Fintype α] [LinearOrder α] (f : Perm α) : { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } := swapFactorsAux ((@univ α _).sort (· ≤ ·)) f fun {_ _} => (mem_sort _).2 (mem_univ _) #align equiv.perm.swap_factors Equiv.Perm.swapFactors def truncSwapFactors [Fintype α] (f : Perm α) : Trunc { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } := Quotient.recOnSubsingleton (@univ α _).1 (fun l h => Trunc.mk (swapFactorsAux l f (h _))) (show ∀ x, f x ≠ x → x ∈ (@univ α _).1 from fun _ _ => mem_univ _) #align equiv.perm.trunc_swap_factors Equiv.Perm.truncSwapFactors @[elab_as_elim]
Mathlib/GroupTheory/Perm/Sign.lean
99
110
theorem swap_induction_on [Finite α] {P : Perm α → Prop} (f : Perm α) : P 1 → (∀ f x y, x ≠ y → P f → P (swap x y * f)) → P f := by
cases nonempty_fintype α cases' (truncSwapFactors f).out with l hl induction' l with g l ih generalizing f · simp (config := { contextual := true }) only [hl.left.symm, List.prod_nil, forall_true_iff] · intro h1 hmul_swap rcases hl.2 g (by simp) with ⟨x, y, hxy⟩ rw [← hl.1, List.prod_cons, hxy.2] exact hmul_swap _ _ _ hxy.1 (ih _ ⟨rfl, fun v hv => hl.2 _ (List.mem_cons_of_mem _ hv)⟩ h1 hmul_swap)
def SatisfiesM {m : Type u → Type v} [Functor m] (p : α → Prop) (x : m α) : Prop := ∃ x' : m {a // p a}, Subtype.val <$> x' = x @[simp] theorem SatisfiesM_Id_eq : SatisfiesM (m := Id) p x ↔ p x := ⟨fun ⟨y, eq⟩ => eq ▸ y.2, fun h => ⟨⟨_, h⟩, rfl⟩⟩ @[simp] theorem SatisfiesM_Option_eq : SatisfiesM (m := Option) p x ↔ ∀ a, x = some a → p a := ⟨by revert x; intro | some _, ⟨some ⟨_, h⟩, rfl⟩, _, rfl => exact h, fun h => match x with | some a => ⟨some ⟨a, h _ rfl⟩, rfl⟩ | none => ⟨none, rfl⟩⟩ @[simp] theorem SatisfiesM_Except_eq : SatisfiesM (m := Except ε) p x ↔ ∀ a, x = .ok a → p a := ⟨by revert x; intro | .ok _, ⟨.ok ⟨_, h⟩, rfl⟩, _, rfl => exact h, fun h => match x with | .ok a => ⟨.ok ⟨a, h _ rfl⟩, rfl⟩ | .error e => ⟨.error e, rfl⟩⟩ @[simp] theorem SatisfiesM_ReaderT_eq [Monad m] : SatisfiesM (m := ReaderT ρ m) p x ↔ ∀ s, SatisfiesM p (x s) := (exists_congr fun a => by exact ⟨fun eq _ => eq ▸ rfl, funext⟩).trans Classical.skolem.symm
.lake/packages/batteries/Batteries/Classes/SatisfiesM.lean
165
166
theorem SatisfiesM_StateRefT_eq [Monad m] : SatisfiesM (m := StateRefT' ω σ m) p x ↔ ∀ s, SatisfiesM p (x s) := by
simp
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Logic.Embedding.Basic import Mathlib.Data.Fintype.CardEmbedding import Mathlib.Topology.Algebra.Module.Multilinear.Topology #align_import analysis.normed_space.multilinear from "leanprover-community/mathlib"@"f40476639bac089693a489c9e354ebd75dc0f886" suppress_compilation noncomputable section open scoped NNReal Topology Uniformity open Finset Metric Function Filter universe u v v' wE wE₁ wE' wG wG' section Seminorm variable {𝕜 : Type u} {ι : Type v} {ι' : Type v'} {E : ι → Type wE} {E₁ : ι → Type wE₁} {E' : ι' → Type wE'} {G : Type wG} {G' : Type wG'} [Fintype ι] [Fintype ι'] [NontriviallyNormedField 𝕜] [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] [∀ i, SeminormedAddCommGroup (E₁ i)] [∀ i, NormedSpace 𝕜 (E₁ i)] [∀ i, SeminormedAddCommGroup (E' i)] [∀ i, NormedSpace 𝕜 (E' i)] [SeminormedAddCommGroup G] [NormedSpace 𝕜 G] [SeminormedAddCommGroup G'] [NormedSpace 𝕜 G'] namespace MultilinearMap variable (f : MultilinearMap 𝕜 E G) lemma norm_map_coord_zero (hf : Continuous f) {m : ∀ i, E i} {i : ι} (hi : ‖m i‖ = 0) : ‖f m‖ = 0 := by classical rw [← inseparable_zero_iff_norm] at hi ⊢ have : Inseparable (update m i 0) m := inseparable_pi.2 <| (forall_update_iff m fun i a ↦ Inseparable a (m i)).2 ⟨hi.symm, fun _ _ ↦ rfl⟩ simpa only [map_update_zero] using this.symm.map hf theorem bound_of_shell_of_norm_map_coord_zero (hf₀ : ∀ {m i}, ‖m i‖ = 0 → ‖f m‖ = 0) {ε : ι → ℝ} {C : ℝ} (hε : ∀ i, 0 < ε i) {c : ι → 𝕜} (hc : ∀ i, 1 < ‖c i‖) (hf : ∀ m : ∀ i, E i, (∀ i, ε i / ‖c i‖ ≤ ‖m i‖) → (∀ i, ‖m i‖ < ε i) → ‖f m‖ ≤ C * ∏ i, ‖m i‖) (m : ∀ i, E i) : ‖f m‖ ≤ C * ∏ i, ‖m i‖ := by rcases em (∃ i, ‖m i‖ = 0) with (⟨i, hi⟩ | hm) · rw [hf₀ hi, prod_eq_zero (mem_univ i) hi, mul_zero] push_neg at hm choose δ hδ0 hδm_lt hle_δm _ using fun i => rescale_to_shell_semi_normed (hc i) (hε i) (hm i) have hδ0 : 0 < ∏ i, ‖δ i‖ := prod_pos fun i _ => norm_pos_iff.2 (hδ0 i) simpa [map_smul_univ, norm_smul, prod_mul_distrib, mul_left_comm C, mul_le_mul_left hδ0] using hf (fun i => δ i • m i) hle_δm hδm_lt theorem bound_of_shell_of_continuous (hfc : Continuous f) {ε : ι → ℝ} {C : ℝ} (hε : ∀ i, 0 < ε i) {c : ι → 𝕜} (hc : ∀ i, 1 < ‖c i‖) (hf : ∀ m : ∀ i, E i, (∀ i, ε i / ‖c i‖ ≤ ‖m i‖) → (∀ i, ‖m i‖ < ε i) → ‖f m‖ ≤ C * ∏ i, ‖m i‖) (m : ∀ i, E i) : ‖f m‖ ≤ C * ∏ i, ‖m i‖ := bound_of_shell_of_norm_map_coord_zero f (norm_map_coord_zero f hfc) hε hc hf m
Mathlib/Analysis/NormedSpace/Multilinear/Basic.lean
137
152
theorem exists_bound_of_continuous (hf : Continuous f) : ∃ C : ℝ, 0 < C ∧ ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖ := by
cases isEmpty_or_nonempty ι · refine ⟨‖f 0‖ + 1, add_pos_of_nonneg_of_pos (norm_nonneg _) zero_lt_one, fun m => ?_⟩ obtain rfl : m = 0 := funext (IsEmpty.elim ‹_›) simp [univ_eq_empty, zero_le_one] obtain ⟨ε : ℝ, ε0 : 0 < ε, hε : ∀ m : ∀ i, E i, ‖m - 0‖ < ε → ‖f m - f 0‖ < 1⟩ := NormedAddCommGroup.tendsto_nhds_nhds.1 (hf.tendsto 0) 1 zero_lt_one simp only [sub_zero, f.map_zero] at hε rcases NormedField.exists_one_lt_norm 𝕜 with ⟨c, hc⟩ have : 0 < (‖c‖ / ε) ^ Fintype.card ι := pow_pos (div_pos (zero_lt_one.trans hc) ε0) _ refine ⟨_, this, ?_⟩ refine f.bound_of_shell_of_continuous hf (fun _ => ε0) (fun _ => hc) fun m hcm hm => ?_ refine (hε m ((pi_norm_lt_iff ε0).2 hm)).le.trans ?_ rw [← div_le_iff' this, one_div, ← inv_pow, inv_div, Fintype.card, ← prod_const] exact prod_le_prod (fun _ _ => div_nonneg ε0.le (norm_nonneg _)) fun i _ => hcm i
import Mathlib.MeasureTheory.Decomposition.Lebesgue import Mathlib.MeasureTheory.Measure.Complex import Mathlib.MeasureTheory.Decomposition.Jordan import Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure noncomputable section open scoped Classical MeasureTheory NNReal ENNReal open Set variable {α β : Type*} {m : MeasurableSpace α} {μ ν : MeasureTheory.Measure α} namespace MeasureTheory namespace SignedMeasure open Measure class HaveLebesgueDecomposition (s : SignedMeasure α) (μ : Measure α) : Prop where posPart : s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ negPart : s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ #align measure_theory.signed_measure.have_lebesgue_decomposition MeasureTheory.SignedMeasure.HaveLebesgueDecomposition #align measure_theory.signed_measure.have_lebesgue_decomposition.pos_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.posPart #align measure_theory.signed_measure.have_lebesgue_decomposition.neg_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.negPart attribute [instance] HaveLebesgueDecomposition.posPart attribute [instance] HaveLebesgueDecomposition.negPart theorem not_haveLebesgueDecomposition_iff (s : SignedMeasure α) (μ : Measure α) : ¬s.HaveLebesgueDecomposition μ ↔ ¬s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ ∨ ¬s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ := ⟨fun h => not_or_of_imp fun hp hn => h ⟨hp, hn⟩, fun h hl => (not_and_or.2 h) ⟨hl.1, hl.2⟩⟩ #align measure_theory.signed_measure.not_have_lebesgue_decomposition_iff MeasureTheory.SignedMeasure.not_haveLebesgueDecomposition_iff -- `inferInstance` directly does not work -- see Note [lower instance priority] instance (priority := 100) haveLebesgueDecomposition_of_sigmaFinite (s : SignedMeasure α) (μ : Measure α) [SigmaFinite μ] : s.HaveLebesgueDecomposition μ where posPart := inferInstance negPart := inferInstance #align measure_theory.signed_measure.have_lebesgue_decomposition_of_sigma_finite MeasureTheory.SignedMeasure.haveLebesgueDecomposition_of_sigmaFinite instance haveLebesgueDecomposition_neg (s : SignedMeasure α) (μ : Measure α) [s.HaveLebesgueDecomposition μ] : (-s).HaveLebesgueDecomposition μ where posPart := by rw [toJordanDecomposition_neg, JordanDecomposition.neg_posPart] infer_instance negPart := by rw [toJordanDecomposition_neg, JordanDecomposition.neg_negPart] infer_instance #align measure_theory.signed_measure.have_lebesgue_decomposition_neg MeasureTheory.SignedMeasure.haveLebesgueDecomposition_neg instance haveLebesgueDecomposition_smul (s : SignedMeasure α) (μ : Measure α) [s.HaveLebesgueDecomposition μ] (r : ℝ≥0) : (r • s).HaveLebesgueDecomposition μ where posPart := by rw [toJordanDecomposition_smul, JordanDecomposition.smul_posPart] infer_instance negPart := by rw [toJordanDecomposition_smul, JordanDecomposition.smul_negPart] infer_instance #align measure_theory.signed_measure.have_lebesgue_decomposition_smul MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul instance haveLebesgueDecomposition_smul_real (s : SignedMeasure α) (μ : Measure α) [s.HaveLebesgueDecomposition μ] (r : ℝ) : (r • s).HaveLebesgueDecomposition μ := by by_cases hr : 0 ≤ r · lift r to ℝ≥0 using hr exact s.haveLebesgueDecomposition_smul μ _ · rw [not_le] at hr refine { posPart := by rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_posPart_neg _ _ hr] infer_instance negPart := by rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_negPart_neg _ _ hr] infer_instance } #align measure_theory.signed_measure.have_lebesgue_decomposition_smul_real MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul_real def singularPart (s : SignedMeasure α) (μ : Measure α) : SignedMeasure α := (s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure - (s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure #align measure_theory.signed_measure.singular_part MeasureTheory.SignedMeasure.singularPart section theorem singularPart_mutuallySingular (s : SignedMeasure α) (μ : Measure α) : s.toJordanDecomposition.posPart.singularPart μ ⟂ₘ s.toJordanDecomposition.negPart.singularPart μ := by by_cases hl : s.HaveLebesgueDecomposition μ · obtain ⟨i, hi, hpos, hneg⟩ := s.toJordanDecomposition.mutuallySingular rw [s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ] at hpos rw [s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ] at hneg rw [add_apply, add_eq_zero_iff] at hpos hneg exact ⟨i, hi, hpos.1, hneg.1⟩ · rw [not_haveLebesgueDecomposition_iff] at hl cases' hl with hp hn · rw [Measure.singularPart, dif_neg hp] exact MutuallySingular.zero_left · rw [Measure.singularPart, Measure.singularPart, dif_neg hn] exact MutuallySingular.zero_right #align measure_theory.signed_measure.singular_part_mutually_singular MeasureTheory.SignedMeasure.singularPart_mutuallySingular theorem singularPart_totalVariation (s : SignedMeasure α) (μ : Measure α) : (s.singularPart μ).totalVariation = s.toJordanDecomposition.posPart.singularPart μ + s.toJordanDecomposition.negPart.singularPart μ := by have : (s.singularPart μ).toJordanDecomposition = ⟨s.toJordanDecomposition.posPart.singularPart μ, s.toJordanDecomposition.negPart.singularPart μ, singularPart_mutuallySingular s μ⟩ := by refine JordanDecomposition.toSignedMeasure_injective ?_ rw [toSignedMeasure_toJordanDecomposition, singularPart, JordanDecomposition.toSignedMeasure] rw [totalVariation, this] #align measure_theory.signed_measure.singular_part_total_variation MeasureTheory.SignedMeasure.singularPart_totalVariation nonrec theorem mutuallySingular_singularPart (s : SignedMeasure α) (μ : Measure α) : singularPart s μ ⟂ᵥ μ.toENNRealVectorMeasure := by rw [mutuallySingular_ennreal_iff, singularPart_totalVariation, VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure] exact (mutuallySingular_singularPart _ _).add_left (mutuallySingular_singularPart _ _) #align measure_theory.signed_measure.mutually_singular_singular_part MeasureTheory.SignedMeasure.mutuallySingular_singularPart end def rnDeriv (s : SignedMeasure α) (μ : Measure α) : α → ℝ := fun x => (s.toJordanDecomposition.posPart.rnDeriv μ x).toReal - (s.toJordanDecomposition.negPart.rnDeriv μ x).toReal #align measure_theory.signed_measure.rn_deriv MeasureTheory.SignedMeasure.rnDeriv -- The generated equation theorem is the form of `rnDeriv s μ x = ...`. theorem rnDeriv_def (s : SignedMeasure α) (μ : Measure α) : rnDeriv s μ = fun x => (s.toJordanDecomposition.posPart.rnDeriv μ x).toReal - (s.toJordanDecomposition.negPart.rnDeriv μ x).toReal := rfl variable {s t : SignedMeasure α} @[measurability] theorem measurable_rnDeriv (s : SignedMeasure α) (μ : Measure α) : Measurable (rnDeriv s μ) := by rw [rnDeriv_def] measurability #align measure_theory.signed_measure.measurable_rn_deriv MeasureTheory.SignedMeasure.measurable_rnDeriv theorem integrable_rnDeriv (s : SignedMeasure α) (μ : Measure α) : Integrable (rnDeriv s μ) μ := by refine Integrable.sub ?_ ?_ <;> · constructor · apply Measurable.aestronglyMeasurable; measurability exact hasFiniteIntegral_toReal_of_lintegral_ne_top (lintegral_rnDeriv_lt_top _ μ).ne #align measure_theory.signed_measure.integrable_rn_deriv MeasureTheory.SignedMeasure.integrable_rnDeriv variable (s μ) theorem singularPart_add_withDensity_rnDeriv_eq [s.HaveLebesgueDecomposition μ] : s.singularPart μ + μ.withDensityᵥ (s.rnDeriv μ) = s := by conv_rhs => rw [← toSignedMeasure_toJordanDecomposition s, JordanDecomposition.toSignedMeasure] rw [singularPart, rnDeriv_def, withDensityᵥ_sub' (integrable_toReal_of_lintegral_ne_top _ _) (integrable_toReal_of_lintegral_ne_top _ _), withDensityᵥ_toReal, withDensityᵥ_toReal, sub_eq_add_neg, sub_eq_add_neg, add_comm (s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure, ← add_assoc, add_assoc (-(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure), ← toSignedMeasure_add, add_comm, ← add_assoc, ← neg_add, ← toSignedMeasure_add, add_comm, ← sub_eq_add_neg] · convert rfl -- `convert rfl` much faster than `congr` · exact s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ · rw [add_comm] exact s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ all_goals first | exact (lintegral_rnDeriv_lt_top _ _).ne | measurability #align measure_theory.signed_measure.singular_part_add_with_density_rn_deriv_eq MeasureTheory.SignedMeasure.singularPart_add_withDensity_rnDeriv_eq variable {s μ} theorem jordanDecomposition_add_withDensity_mutuallySingular {f : α → ℝ} (hf : Measurable f) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) : (t.toJordanDecomposition.posPart + μ.withDensity fun x : α => ENNReal.ofReal (f x)) ⟂ₘ t.toJordanDecomposition.negPart + μ.withDensity fun x : α => ENNReal.ofReal (-f x) := by rw [mutuallySingular_ennreal_iff, totalVariation_mutuallySingular_iff, VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure] at htμ exact ((JordanDecomposition.mutuallySingular _).add_right (htμ.1.mono_ac (refl _) (withDensity_absolutelyContinuous _ _))).add_left ((htμ.2.symm.mono_ac (withDensity_absolutelyContinuous _ _) (refl _)).add_right (withDensity_ofReal_mutuallySingular hf)) #align measure_theory.signed_measure.jordan_decomposition_add_with_density_mutually_singular MeasureTheory.SignedMeasure.jordanDecomposition_add_withDensity_mutuallySingular theorem toJordanDecomposition_eq_of_eq_add_withDensity {f : α → ℝ} (hf : Measurable f) (hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) : s.toJordanDecomposition = @JordanDecomposition.mk α _ (t.toJordanDecomposition.posPart + μ.withDensity fun x => ENNReal.ofReal (f x)) (t.toJordanDecomposition.negPart + μ.withDensity fun x => ENNReal.ofReal (-f x)) (by haveI := isFiniteMeasure_withDensity_ofReal hfi.2; infer_instance) (by haveI := isFiniteMeasure_withDensity_ofReal hfi.neg.2; infer_instance) (jordanDecomposition_add_withDensity_mutuallySingular hf htμ) := by haveI := isFiniteMeasure_withDensity_ofReal hfi.2 haveI := isFiniteMeasure_withDensity_ofReal hfi.neg.2 refine toJordanDecomposition_eq ?_ simp_rw [JordanDecomposition.toSignedMeasure, hadd] ext i hi rw [VectorMeasure.sub_apply, toSignedMeasure_apply_measurable hi, toSignedMeasure_apply_measurable hi, add_apply, add_apply, ENNReal.toReal_add, ENNReal.toReal_add, add_sub_add_comm, ← toSignedMeasure_apply_measurable hi, ← toSignedMeasure_apply_measurable hi, ← VectorMeasure.sub_apply, ← JordanDecomposition.toSignedMeasure, toSignedMeasure_toJordanDecomposition, VectorMeasure.add_apply, ← toSignedMeasure_apply_measurable hi, ← toSignedMeasure_apply_measurable hi, withDensityᵥ_eq_withDensity_pos_part_sub_withDensity_neg_part hfi, VectorMeasure.sub_apply] <;> exact (measure_lt_top _ _).ne #align measure_theory.signed_measure.to_jordan_decomposition_eq_of_eq_add_with_density MeasureTheory.SignedMeasure.toJordanDecomposition_eq_of_eq_add_withDensity private theorem haveLebesgueDecomposition_mk' (μ : Measure α) {f : α → ℝ} (hf : Measurable f) (hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) : s.HaveLebesgueDecomposition μ := by have htμ' := htμ rw [mutuallySingular_ennreal_iff] at htμ change _ ⟂ₘ VectorMeasure.equivMeasure.toFun (VectorMeasure.equivMeasure.invFun μ) at htμ rw [VectorMeasure.equivMeasure.right_inv, totalVariation_mutuallySingular_iff] at htμ refine { posPart := by use ⟨t.toJordanDecomposition.posPart, fun x => ENNReal.ofReal (f x)⟩ refine ⟨hf.ennreal_ofReal, htμ.1, ?_⟩ rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd] negPart := by use ⟨t.toJordanDecomposition.negPart, fun x => ENNReal.ofReal (-f x)⟩ refine ⟨hf.neg.ennreal_ofReal, htμ.2, ?_⟩ rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd] } theorem haveLebesgueDecomposition_mk (μ : Measure α) {f : α → ℝ} (hf : Measurable f) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) : s.HaveLebesgueDecomposition μ := by by_cases hfi : Integrable f μ · exact haveLebesgueDecomposition_mk' μ hf hfi htμ hadd · rw [withDensityᵥ, dif_neg hfi, add_zero] at hadd refine haveLebesgueDecomposition_mk' μ measurable_zero (integrable_zero _ _ μ) htμ ?_ rwa [withDensityᵥ_zero, add_zero] #align measure_theory.signed_measure.have_lebesgue_decomposition_mk MeasureTheory.SignedMeasure.haveLebesgueDecomposition_mk private theorem eq_singularPart' (t : SignedMeasure α) {f : α → ℝ} (hf : Measurable f) (hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) : t = s.singularPart μ := by have htμ' := htμ rw [mutuallySingular_ennreal_iff, totalVariation_mutuallySingular_iff, VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure] at htμ rw [singularPart, ← t.toSignedMeasure_toJordanDecomposition, JordanDecomposition.toSignedMeasure] congr · have hfpos : Measurable fun x => ENNReal.ofReal (f x) := by measurability refine eq_singularPart hfpos htμ.1 ?_ rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd] · have hfneg : Measurable fun x => ENNReal.ofReal (-f x) := by measurability refine eq_singularPart hfneg htμ.2 ?_ rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd] theorem eq_singularPart (t : SignedMeasure α) (f : α → ℝ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) : t = s.singularPart μ := by by_cases hfi : Integrable f μ · refine eq_singularPart' t hfi.1.measurable_mk (hfi.congr hfi.1.ae_eq_mk) htμ ?_ convert hadd using 2 exact WithDensityᵥEq.congr_ae hfi.1.ae_eq_mk.symm · rw [withDensityᵥ, dif_neg hfi, add_zero] at hadd refine eq_singularPart' t measurable_zero (integrable_zero _ _ μ) htμ ?_ rwa [withDensityᵥ_zero, add_zero] #align measure_theory.signed_measure.eq_singular_part MeasureTheory.SignedMeasure.eq_singularPart theorem singularPart_zero (μ : Measure α) : (0 : SignedMeasure α).singularPart μ = 0 := by refine (eq_singularPart 0 0 VectorMeasure.MutuallySingular.zero_left ?_).symm rw [zero_add, withDensityᵥ_zero] #align measure_theory.signed_measure.singular_part_zero MeasureTheory.SignedMeasure.singularPart_zero theorem singularPart_neg (s : SignedMeasure α) (μ : Measure α) : (-s).singularPart μ = -s.singularPart μ := by have h₁ : ((-s).toJordanDecomposition.posPart.singularPart μ).toSignedMeasure = (s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure := by refine toSignedMeasure_congr ?_ rw [toJordanDecomposition_neg, JordanDecomposition.neg_posPart] have h₂ : ((-s).toJordanDecomposition.negPart.singularPart μ).toSignedMeasure = (s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure := by refine toSignedMeasure_congr ?_ rw [toJordanDecomposition_neg, JordanDecomposition.neg_negPart] rw [singularPart, singularPart, neg_sub, h₁, h₂] #align measure_theory.signed_measure.singular_part_neg MeasureTheory.SignedMeasure.singularPart_neg theorem singularPart_smul_nnreal (s : SignedMeasure α) (μ : Measure α) (r : ℝ≥0) : (r • s).singularPart μ = r • s.singularPart μ := by rw [singularPart, singularPart, smul_sub, ← toSignedMeasure_smul, ← toSignedMeasure_smul] conv_lhs => congr · congr · rw [toJordanDecomposition_smul, JordanDecomposition.smul_posPart, singularPart_smul] · congr rw [toJordanDecomposition_smul, JordanDecomposition.smul_negPart, singularPart_smul] #align measure_theory.signed_measure.singular_part_smul_nnreal MeasureTheory.SignedMeasure.singularPart_smul_nnreal nonrec theorem singularPart_smul (s : SignedMeasure α) (μ : Measure α) (r : ℝ) : (r • s).singularPart μ = r • s.singularPart μ := by cases le_or_lt 0 r with | inl hr => lift r to ℝ≥0 using hr exact singularPart_smul_nnreal s μ r | inr hr => rw [singularPart, singularPart] conv_lhs => congr · congr · rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_posPart_neg _ _ hr, singularPart_smul] · congr · rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_negPart_neg _ _ hr, singularPart_smul] rw [toSignedMeasure_smul, toSignedMeasure_smul, ← neg_sub, ← smul_sub, NNReal.smul_def, ← neg_smul, Real.coe_toNNReal _ (le_of_lt (neg_pos.mpr hr)), neg_neg] #align measure_theory.signed_measure.singular_part_smul MeasureTheory.SignedMeasure.singularPart_smul
Mathlib/MeasureTheory/Decomposition/SignedLebesgue.lean
382
392
theorem singularPart_add (s t : SignedMeasure α) (μ : Measure α) [s.HaveLebesgueDecomposition μ] [t.HaveLebesgueDecomposition μ] : (s + t).singularPart μ = s.singularPart μ + t.singularPart μ := by
refine (eq_singularPart _ (s.rnDeriv μ + t.rnDeriv μ) ((mutuallySingular_singularPart s μ).add_left (mutuallySingular_singularPart t μ)) ?_).symm rw [withDensityᵥ_add (integrable_rnDeriv s μ) (integrable_rnDeriv t μ), add_assoc, add_comm (t.singularPart μ), add_assoc, add_comm _ (t.singularPart μ), singularPart_add_withDensity_rnDeriv_eq, ← add_assoc, singularPart_add_withDensity_rnDeriv_eq]
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" namespace MeasureTheory open Filter open scoped ENNReal variable {α E : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} [NormedAddCommGroup E] theorem snorm'_trim (hm : m ≤ m0) {f : α → E} (hf : StronglyMeasurable[m] f) : snorm' f q (μ.trim hm) = snorm' f q μ := by simp_rw [snorm'] congr 1 refine lintegral_trim hm ?_ refine @Measurable.pow_const _ _ _ _ _ _ _ m _ (@Measurable.coe_nnreal_ennreal _ m _ ?_) q apply @StronglyMeasurable.measurable exact @StronglyMeasurable.nnnorm α m _ _ _ hf #align measure_theory.snorm'_trim MeasureTheory.snorm'_trim theorem limsup_trim (hm : m ≤ m0) {f : α → ℝ≥0∞} (hf : Measurable[m] f) : limsup f (ae (μ.trim hm)) = limsup f (ae μ) := by simp_rw [limsup_eq] suffices h_set_eq : { a : ℝ≥0∞ | ∀ᵐ n ∂μ.trim hm, f n ≤ a } = { a : ℝ≥0∞ | ∀ᵐ n ∂μ, f n ≤ a } by rw [h_set_eq] ext1 a suffices h_meas_eq : μ { x | ¬f x ≤ a } = μ.trim hm { x | ¬f x ≤ a } by simp_rw [Set.mem_setOf_eq, ae_iff, h_meas_eq] refine (trim_measurableSet_eq hm ?_).symm refine @MeasurableSet.compl _ _ m (@measurableSet_le ℝ≥0∞ _ _ _ _ m _ _ _ _ _ hf ?_) exact @measurable_const _ _ _ m _ #align measure_theory.limsup_trim MeasureTheory.limsup_trim
Mathlib/MeasureTheory/Function/LpSeminorm/Trim.lean
48
51
theorem essSup_trim (hm : m ≤ m0) {f : α → ℝ≥0∞} (hf : Measurable[m] f) : essSup f (μ.trim hm) = essSup f μ := by
simp_rw [essSup] exact limsup_trim hm hf
import Mathlib.Data.Int.Bitwise import Mathlib.Data.Int.Order.Lemmas import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.int.lemmas from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f" open Nat namespace Int theorem le_natCast_sub (m n : ℕ) : (m - n : ℤ) ≤ ↑(m - n : ℕ) := by by_cases h : m ≥ n · exact le_of_eq (Int.ofNat_sub h).symm · simp [le_of_not_ge h, ofNat_le] #align int.le_coe_nat_sub Int.le_natCast_sub -- Porting note (#10618): simp can prove this @[simp] theorem succ_natCast_pos (n : ℕ) : 0 < (n : ℤ) + 1 := lt_add_one_iff.mpr (by simp) #align int.succ_coe_nat_pos Int.succ_natCast_pos variable {a b : ℤ} {n : ℕ} theorem natAbs_eq_iff_sq_eq {a b : ℤ} : a.natAbs = b.natAbs ↔ a ^ 2 = b ^ 2 := by rw [sq, sq] exact natAbs_eq_iff_mul_self_eq #align int.nat_abs_eq_iff_sq_eq Int.natAbs_eq_iff_sq_eq theorem natAbs_lt_iff_sq_lt {a b : ℤ} : a.natAbs < b.natAbs ↔ a ^ 2 < b ^ 2 := by rw [sq, sq] exact natAbs_lt_iff_mul_self_lt #align int.nat_abs_lt_iff_sq_lt Int.natAbs_lt_iff_sq_lt theorem natAbs_le_iff_sq_le {a b : ℤ} : a.natAbs ≤ b.natAbs ↔ a ^ 2 ≤ b ^ 2 := by rw [sq, sq] exact natAbs_le_iff_mul_self_le #align int.nat_abs_le_iff_sq_le Int.natAbs_le_iff_sq_le theorem natAbs_inj_of_nonneg_of_nonneg {a b : ℤ} (ha : 0 ≤ a) (hb : 0 ≤ b) : natAbs a = natAbs b ↔ a = b := by rw [← sq_eq_sq ha hb, ← natAbs_eq_iff_sq_eq] #align int.nat_abs_inj_of_nonneg_of_nonneg Int.natAbs_inj_of_nonneg_of_nonneg theorem natAbs_inj_of_nonpos_of_nonpos {a b : ℤ} (ha : a ≤ 0) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = b := by simpa only [Int.natAbs_neg, neg_inj] using natAbs_inj_of_nonneg_of_nonneg (neg_nonneg_of_nonpos ha) (neg_nonneg_of_nonpos hb) #align int.nat_abs_inj_of_nonpos_of_nonpos Int.natAbs_inj_of_nonpos_of_nonpos theorem natAbs_inj_of_nonneg_of_nonpos {a b : ℤ} (ha : 0 ≤ a) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = -b := by simpa only [Int.natAbs_neg] using natAbs_inj_of_nonneg_of_nonneg ha (neg_nonneg_of_nonpos hb) #align int.nat_abs_inj_of_nonneg_of_nonpos Int.natAbs_inj_of_nonneg_of_nonpos
Mathlib/Data/Int/Lemmas.lean
75
77
theorem natAbs_inj_of_nonpos_of_nonneg {a b : ℤ} (ha : a ≤ 0) (hb : 0 ≤ b) : natAbs a = natAbs b ↔ -a = b := by
simpa only [Int.natAbs_neg] using natAbs_inj_of_nonneg_of_nonneg (neg_nonneg_of_nonpos ha) hb
import Mathlib.Order.Filter.Interval import Mathlib.Order.Interval.Set.Pi import Mathlib.Tactic.TFAE import Mathlib.Tactic.NormNum import Mathlib.Topology.Order.LeftRight import Mathlib.Topology.Order.OrderClosed #align_import topology.order.basic from "leanprover-community/mathlib"@"3efd324a3a31eaa40c9d5bfc669c4fafee5f9423" open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) universe u v w variable {α : Type u} {β : Type v} {γ : Type w} -- Porting note (#11215): TODO: define `Preorder.topology` before `OrderTopology` and reuse the def class OrderTopology (α : Type*) [t : TopologicalSpace α] [Preorder α] : Prop where topology_eq_generate_intervals : t = generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a } #align order_topology OrderTopology def Preorder.topology (α : Type*) [Preorder α] : TopologicalSpace α := generateFrom { s : Set α | ∃ a : α, s = { b : α | a < b } ∨ s = { b : α | b < a } } #align preorder.topology Preorder.topology section OrderTopology section Preorder variable [TopologicalSpace α] [Preorder α] [t : OrderTopology α] instance : OrderTopology αᵒᵈ := ⟨by convert OrderTopology.topology_eq_generate_intervals (α := α) using 6 apply or_comm⟩ theorem isOpen_iff_generate_intervals {s : Set α} : IsOpen s ↔ GenerateOpen { s | ∃ a, s = Ioi a ∨ s = Iio a } s := by rw [t.topology_eq_generate_intervals]; rfl #align is_open_iff_generate_intervals isOpen_iff_generate_intervals theorem isOpen_lt' (a : α) : IsOpen { b : α | a < b } := isOpen_iff_generate_intervals.2 <| .basic _ ⟨a, .inl rfl⟩ #align is_open_lt' isOpen_lt' theorem isOpen_gt' (a : α) : IsOpen { b : α | b < a } := isOpen_iff_generate_intervals.2 <| .basic _ ⟨a, .inr rfl⟩ #align is_open_gt' isOpen_gt' theorem lt_mem_nhds {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 b, a < x := (isOpen_lt' _).mem_nhds h #align lt_mem_nhds lt_mem_nhds theorem le_mem_nhds {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 b, a ≤ x := (lt_mem_nhds h).mono fun _ => le_of_lt #align le_mem_nhds le_mem_nhds theorem gt_mem_nhds {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 a, x < b := (isOpen_gt' _).mem_nhds h #align gt_mem_nhds gt_mem_nhds theorem ge_mem_nhds {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 a, x ≤ b := (gt_mem_nhds h).mono fun _ => le_of_lt #align ge_mem_nhds ge_mem_nhds theorem nhds_eq_order (a : α) : 𝓝 a = (⨅ b ∈ Iio a, 𝓟 (Ioi b)) ⊓ ⨅ b ∈ Ioi a, 𝓟 (Iio b) := by rw [t.topology_eq_generate_intervals, nhds_generateFrom] simp_rw [mem_setOf_eq, @and_comm (a ∈ _), exists_or, or_and_right, iInf_or, iInf_and, iInf_exists, iInf_inf_eq, iInf_comm (ι := Set α), iInf_iInf_eq_left, mem_Ioi, mem_Iio] #align nhds_eq_order nhds_eq_order
Mathlib/Topology/Order/Basic.lean
126
128
theorem tendsto_order {f : β → α} {a : α} {x : Filter β} : Tendsto f x (𝓝 a) ↔ (∀ a' < a, ∀ᶠ b in x, a' < f b) ∧ ∀ a' > a, ∀ᶠ b in x, f b < a' := by
simp only [nhds_eq_order a, tendsto_inf, tendsto_iInf, tendsto_principal]; rfl
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic import Mathlib.Analysis.Normed.Group.AddCircle import Mathlib.Algebra.CharZero.Quotient import Mathlib.Topology.Instances.Sign #align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" open Real noncomputable section namespace Real -- Porting note: can't derive `NormedAddCommGroup, Inhabited` def Angle : Type := AddCircle (2 * π) #align real.angle Real.Angle namespace Angle -- Porting note (#10754): added due to missing instances due to no deriving instance : NormedAddCommGroup Angle := inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π))) -- Porting note (#10754): added due to missing instances due to no deriving instance : Inhabited Angle := inferInstanceAs (Inhabited (AddCircle (2 * π))) -- Porting note (#10754): added due to missing instances due to no deriving -- also, without this, a plain `QuotientAddGroup.mk` -- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)` @[coe] protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r instance : Coe ℝ Angle := ⟨Angle.coe⟩ instance : CircularOrder Real.Angle := QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩) @[continuity] theorem continuous_coe : Continuous ((↑) : ℝ → Angle) := continuous_quotient_mk' #align real.angle.continuous_coe Real.Angle.continuous_coe def coeHom : ℝ →+ Angle := QuotientAddGroup.mk' _ #align real.angle.coe_hom Real.Angle.coeHom @[simp] theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) := rfl #align real.angle.coe_coe_hom Real.Angle.coe_coeHom @[elab_as_elim] protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ := Quotient.inductionOn' θ h #align real.angle.induction_on Real.Angle.induction_on @[simp] theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) := rfl #align real.angle.coe_zero Real.Angle.coe_zero @[simp] theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) := rfl #align real.angle.coe_add Real.Angle.coe_add @[simp] theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) := rfl #align real.angle.coe_neg Real.Angle.coe_neg @[simp] theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) := rfl #align real.angle.coe_sub Real.Angle.coe_sub theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) := rfl #align real.angle.coe_nsmul Real.Angle.coe_nsmul theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) := rfl #align real.angle.coe_zsmul Real.Angle.coe_zsmul @[simp, norm_cast] theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n #align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul @[simp, norm_cast] theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n #align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul @[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul @[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure, AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm] -- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise rw [Angle.coe, Angle.coe, QuotientAddGroup.eq] simp only [AddSubgroup.zmultiples_eq_closure, AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm] #align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub @[simp] theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) := angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩ #align real.angle.coe_two_pi Real.Angle.coe_two_pi @[simp] theorem neg_coe_pi : -(π : Angle) = π := by rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub] use -1 simp [two_mul, sub_eq_add_neg] #align real.angle.neg_coe_pi Real.Angle.neg_coe_pi @[simp] theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by rw [← coe_nsmul, two_nsmul, add_halves] #align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two @[simp] theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by rw [← coe_zsmul, two_zsmul, add_halves] #align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two -- Porting note (#10618): @[simp] can prove it theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi] #align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two -- Porting note (#10618): @[simp] can prove it theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two] #align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by rw [sub_eq_add_neg, neg_coe_pi] #align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi @[simp] theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul] #align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi @[simp] theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul] #align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi @[simp] theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi] #align real.angle.coe_pi_add_coe_pi Real.Angle.coe_pi_add_coe_pi theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) : z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) := QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz #align real.angle.zsmul_eq_iff Real.Angle.zsmul_eq_iff theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) : n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) := QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz #align real.angle.nsmul_eq_iff Real.Angle.nsmul_eq_iff theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by -- Porting note: no `Int.natAbs_bit0` anymore have : Int.natAbs 2 = 2 := rfl rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero, Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two, mul_div_cancel_left₀ (_ : ℝ) two_ne_zero] #align real.angle.two_zsmul_eq_iff Real.Angle.two_zsmul_eq_iff theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by simp_rw [← natCast_zsmul, Nat.cast_ofNat, two_zsmul_eq_iff] #align real.angle.two_nsmul_eq_iff Real.Angle.two_nsmul_eq_iff theorem two_nsmul_eq_zero_iff {θ : Angle} : (2 : ℕ) • θ = 0 ↔ θ = 0 ∨ θ = π := by convert two_nsmul_eq_iff <;> simp #align real.angle.two_nsmul_eq_zero_iff Real.Angle.two_nsmul_eq_zero_iff theorem two_nsmul_ne_zero_iff {θ : Angle} : (2 : ℕ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← two_nsmul_eq_zero_iff] #align real.angle.two_nsmul_ne_zero_iff Real.Angle.two_nsmul_ne_zero_iff theorem two_zsmul_eq_zero_iff {θ : Angle} : (2 : ℤ) • θ = 0 ↔ θ = 0 ∨ θ = π := by simp_rw [two_zsmul, ← two_nsmul, two_nsmul_eq_zero_iff] #align real.angle.two_zsmul_eq_zero_iff Real.Angle.two_zsmul_eq_zero_iff theorem two_zsmul_ne_zero_iff {θ : Angle} : (2 : ℤ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← two_zsmul_eq_zero_iff] #align real.angle.two_zsmul_ne_zero_iff Real.Angle.two_zsmul_ne_zero_iff theorem eq_neg_self_iff {θ : Angle} : θ = -θ ↔ θ = 0 ∨ θ = π := by rw [← add_eq_zero_iff_eq_neg, ← two_nsmul, two_nsmul_eq_zero_iff] #align real.angle.eq_neg_self_iff Real.Angle.eq_neg_self_iff theorem ne_neg_self_iff {θ : Angle} : θ ≠ -θ ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← eq_neg_self_iff.not] #align real.angle.ne_neg_self_iff Real.Angle.ne_neg_self_iff theorem neg_eq_self_iff {θ : Angle} : -θ = θ ↔ θ = 0 ∨ θ = π := by rw [eq_comm, eq_neg_self_iff] #align real.angle.neg_eq_self_iff Real.Angle.neg_eq_self_iff theorem neg_ne_self_iff {θ : Angle} : -θ ≠ θ ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← neg_eq_self_iff.not] #align real.angle.neg_ne_self_iff Real.Angle.neg_ne_self_iff theorem two_nsmul_eq_pi_iff {θ : Angle} : (2 : ℕ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by have h : (π : Angle) = ((2 : ℕ) • (π / 2 : ℝ) :) := by rw [two_nsmul, add_halves] nth_rw 1 [h] rw [coe_nsmul, two_nsmul_eq_iff] -- Porting note: `congr` didn't simplify the goal of iff of `Or`s convert Iff.rfl rw [add_comm, ← coe_add, ← sub_eq_zero, ← coe_sub, neg_div, ← neg_sub, sub_neg_eq_add, add_assoc, add_halves, ← two_mul, coe_neg, coe_two_pi, neg_zero] #align real.angle.two_nsmul_eq_pi_iff Real.Angle.two_nsmul_eq_pi_iff theorem two_zsmul_eq_pi_iff {θ : Angle} : (2 : ℤ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by rw [two_zsmul, ← two_nsmul, two_nsmul_eq_pi_iff] #align real.angle.two_zsmul_eq_pi_iff Real.Angle.two_zsmul_eq_pi_iff theorem cos_eq_iff_coe_eq_or_eq_neg {θ ψ : ℝ} : cos θ = cos ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) = -ψ := by constructor · intro Hcos rw [← sub_eq_zero, cos_sub_cos, mul_eq_zero, mul_eq_zero, neg_eq_zero, eq_false (two_ne_zero' ℝ), false_or_iff, sin_eq_zero_iff, sin_eq_zero_iff] at Hcos rcases Hcos with (⟨n, hn⟩ | ⟨n, hn⟩) · right rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), ← sub_eq_iff_eq_add] at hn rw [← hn, coe_sub, eq_neg_iff_add_eq_zero, sub_add_cancel, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero] · left rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), eq_sub_iff_add_eq] at hn rw [← hn, coe_add, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero, zero_add] · rw [angle_eq_iff_two_pi_dvd_sub, ← coe_neg, angle_eq_iff_two_pi_dvd_sub] rintro (⟨k, H⟩ | ⟨k, H⟩) · rw [← sub_eq_zero, cos_sub_cos, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero] rw [← sub_eq_zero, cos_sub_cos, ← sub_neg_eq_add, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul] #align real.angle.cos_eq_iff_coe_eq_or_eq_neg Real.Angle.cos_eq_iff_coe_eq_or_eq_neg theorem sin_eq_iff_coe_eq_or_add_eq_pi {θ ψ : ℝ} : sin θ = sin ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) + ψ = π := by constructor · intro Hsin rw [← cos_pi_div_two_sub, ← cos_pi_div_two_sub] at Hsin cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hsin with h h · left rw [coe_sub, coe_sub] at h exact sub_right_inj.1 h right rw [coe_sub, coe_sub, eq_neg_iff_add_eq_zero, add_sub, sub_add_eq_add_sub, ← coe_add, add_halves, sub_sub, sub_eq_zero] at h exact h.symm · rw [angle_eq_iff_two_pi_dvd_sub, ← eq_sub_iff_add_eq, ← coe_sub, angle_eq_iff_two_pi_dvd_sub] rintro (⟨k, H⟩ | ⟨k, H⟩) · rw [← sub_eq_zero, sin_sub_sin, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul] have H' : θ + ψ = 2 * k * π + π := by rwa [← sub_add, sub_add_eq_add_sub, sub_eq_iff_eq_add, mul_assoc, mul_comm π _, ← mul_assoc] at H rw [← sub_eq_zero, sin_sub_sin, H', add_div, mul_assoc 2 _ π, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), cos_add_pi_div_two, sin_int_mul_pi, neg_zero, mul_zero] #align real.angle.sin_eq_iff_coe_eq_or_add_eq_pi Real.Angle.sin_eq_iff_coe_eq_or_add_eq_pi theorem cos_sin_inj {θ ψ : ℝ} (Hcos : cos θ = cos ψ) (Hsin : sin θ = sin ψ) : (θ : Angle) = ψ := by cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hcos with hc hc; · exact hc cases' sin_eq_iff_coe_eq_or_add_eq_pi.mp Hsin with hs hs; · exact hs rw [eq_neg_iff_add_eq_zero, hs] at hc obtain ⟨n, hn⟩ : ∃ n, n • _ = _ := QuotientAddGroup.leftRel_apply.mp (Quotient.exact' hc) rw [← neg_one_mul, add_zero, ← sub_eq_zero, zsmul_eq_mul, ← mul_assoc, ← sub_mul, mul_eq_zero, eq_false (ne_of_gt pi_pos), or_false_iff, sub_neg_eq_add, ← Int.cast_zero, ← Int.cast_one, ← Int.cast_ofNat, ← Int.cast_mul, ← Int.cast_add, Int.cast_inj] at hn have : (n * 2 + 1) % (2 : ℤ) = 0 % (2 : ℤ) := congr_arg (· % (2 : ℤ)) hn rw [add_comm, Int.add_mul_emod_self] at this exact absurd this one_ne_zero #align real.angle.cos_sin_inj Real.Angle.cos_sin_inj def sin (θ : Angle) : ℝ := sin_periodic.lift θ #align real.angle.sin Real.Angle.sin @[simp] theorem sin_coe (x : ℝ) : sin (x : Angle) = Real.sin x := rfl #align real.angle.sin_coe Real.Angle.sin_coe @[continuity] theorem continuous_sin : Continuous sin := Real.continuous_sin.quotient_liftOn' _ #align real.angle.continuous_sin Real.Angle.continuous_sin def cos (θ : Angle) : ℝ := cos_periodic.lift θ #align real.angle.cos Real.Angle.cos @[simp] theorem cos_coe (x : ℝ) : cos (x : Angle) = Real.cos x := rfl #align real.angle.cos_coe Real.Angle.cos_coe @[continuity] theorem continuous_cos : Continuous cos := Real.continuous_cos.quotient_liftOn' _ #align real.angle.continuous_cos Real.Angle.continuous_cos theorem cos_eq_real_cos_iff_eq_or_eq_neg {θ : Angle} {ψ : ℝ} : cos θ = Real.cos ψ ↔ θ = ψ ∨ θ = -ψ := by induction θ using Real.Angle.induction_on exact cos_eq_iff_coe_eq_or_eq_neg #align real.angle.cos_eq_real_cos_iff_eq_or_eq_neg Real.Angle.cos_eq_real_cos_iff_eq_or_eq_neg theorem cos_eq_iff_eq_or_eq_neg {θ ψ : Angle} : cos θ = cos ψ ↔ θ = ψ ∨ θ = -ψ := by induction ψ using Real.Angle.induction_on exact cos_eq_real_cos_iff_eq_or_eq_neg #align real.angle.cos_eq_iff_eq_or_eq_neg Real.Angle.cos_eq_iff_eq_or_eq_neg theorem sin_eq_real_sin_iff_eq_or_add_eq_pi {θ : Angle} {ψ : ℝ} : sin θ = Real.sin ψ ↔ θ = ψ ∨ θ + ψ = π := by induction θ using Real.Angle.induction_on exact sin_eq_iff_coe_eq_or_add_eq_pi #align real.angle.sin_eq_real_sin_iff_eq_or_add_eq_pi Real.Angle.sin_eq_real_sin_iff_eq_or_add_eq_pi theorem sin_eq_iff_eq_or_add_eq_pi {θ ψ : Angle} : sin θ = sin ψ ↔ θ = ψ ∨ θ + ψ = π := by induction ψ using Real.Angle.induction_on exact sin_eq_real_sin_iff_eq_or_add_eq_pi #align real.angle.sin_eq_iff_eq_or_add_eq_pi Real.Angle.sin_eq_iff_eq_or_add_eq_pi @[simp] theorem sin_zero : sin (0 : Angle) = 0 := by rw [← coe_zero, sin_coe, Real.sin_zero] #align real.angle.sin_zero Real.Angle.sin_zero -- Porting note (#10618): @[simp] can prove it theorem sin_coe_pi : sin (π : Angle) = 0 := by rw [sin_coe, Real.sin_pi] #align real.angle.sin_coe_pi Real.Angle.sin_coe_pi theorem sin_eq_zero_iff {θ : Angle} : sin θ = 0 ↔ θ = 0 ∨ θ = π := by nth_rw 1 [← sin_zero] rw [sin_eq_iff_eq_or_add_eq_pi] simp #align real.angle.sin_eq_zero_iff Real.Angle.sin_eq_zero_iff theorem sin_ne_zero_iff {θ : Angle} : sin θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← sin_eq_zero_iff] #align real.angle.sin_ne_zero_iff Real.Angle.sin_ne_zero_iff @[simp] theorem sin_neg (θ : Angle) : sin (-θ) = -sin θ := by induction θ using Real.Angle.induction_on exact Real.sin_neg _ #align real.angle.sin_neg Real.Angle.sin_neg theorem sin_antiperiodic : Function.Antiperiodic sin (π : Angle) := by intro θ induction θ using Real.Angle.induction_on exact Real.sin_antiperiodic _ #align real.angle.sin_antiperiodic Real.Angle.sin_antiperiodic @[simp] theorem sin_add_pi (θ : Angle) : sin (θ + π) = -sin θ := sin_antiperiodic θ #align real.angle.sin_add_pi Real.Angle.sin_add_pi @[simp] theorem sin_sub_pi (θ : Angle) : sin (θ - π) = -sin θ := sin_antiperiodic.sub_eq θ #align real.angle.sin_sub_pi Real.Angle.sin_sub_pi @[simp] theorem cos_zero : cos (0 : Angle) = 1 := by rw [← coe_zero, cos_coe, Real.cos_zero] #align real.angle.cos_zero Real.Angle.cos_zero -- Porting note (#10618): @[simp] can prove it theorem cos_coe_pi : cos (π : Angle) = -1 := by rw [cos_coe, Real.cos_pi] #align real.angle.cos_coe_pi Real.Angle.cos_coe_pi @[simp] theorem cos_neg (θ : Angle) : cos (-θ) = cos θ := by induction θ using Real.Angle.induction_on exact Real.cos_neg _ #align real.angle.cos_neg Real.Angle.cos_neg theorem cos_antiperiodic : Function.Antiperiodic cos (π : Angle) := by intro θ induction θ using Real.Angle.induction_on exact Real.cos_antiperiodic _ #align real.angle.cos_antiperiodic Real.Angle.cos_antiperiodic @[simp] theorem cos_add_pi (θ : Angle) : cos (θ + π) = -cos θ := cos_antiperiodic θ #align real.angle.cos_add_pi Real.Angle.cos_add_pi @[simp] theorem cos_sub_pi (θ : Angle) : cos (θ - π) = -cos θ := cos_antiperiodic.sub_eq θ #align real.angle.cos_sub_pi Real.Angle.cos_sub_pi theorem cos_eq_zero_iff {θ : Angle} : cos θ = 0 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by rw [← cos_pi_div_two, ← cos_coe, cos_eq_iff_eq_or_eq_neg, ← coe_neg, ← neg_div] #align real.angle.cos_eq_zero_iff Real.Angle.cos_eq_zero_iff theorem sin_add (θ₁ θ₂ : Real.Angle) : sin (θ₁ + θ₂) = sin θ₁ * cos θ₂ + cos θ₁ * sin θ₂ := by induction θ₁ using Real.Angle.induction_on induction θ₂ using Real.Angle.induction_on exact Real.sin_add _ _ #align real.angle.sin_add Real.Angle.sin_add theorem cos_add (θ₁ θ₂ : Real.Angle) : cos (θ₁ + θ₂) = cos θ₁ * cos θ₂ - sin θ₁ * sin θ₂ := by induction θ₂ using Real.Angle.induction_on induction θ₁ using Real.Angle.induction_on exact Real.cos_add _ _ #align real.angle.cos_add Real.Angle.cos_add @[simp] theorem cos_sq_add_sin_sq (θ : Real.Angle) : cos θ ^ 2 + sin θ ^ 2 = 1 := by induction θ using Real.Angle.induction_on exact Real.cos_sq_add_sin_sq _ #align real.angle.cos_sq_add_sin_sq Real.Angle.cos_sq_add_sin_sq theorem sin_add_pi_div_two (θ : Angle) : sin (θ + ↑(π / 2)) = cos θ := by induction θ using Real.Angle.induction_on exact Real.sin_add_pi_div_two _ #align real.angle.sin_add_pi_div_two Real.Angle.sin_add_pi_div_two theorem sin_sub_pi_div_two (θ : Angle) : sin (θ - ↑(π / 2)) = -cos θ := by induction θ using Real.Angle.induction_on exact Real.sin_sub_pi_div_two _ #align real.angle.sin_sub_pi_div_two Real.Angle.sin_sub_pi_div_two theorem sin_pi_div_two_sub (θ : Angle) : sin (↑(π / 2) - θ) = cos θ := by induction θ using Real.Angle.induction_on exact Real.sin_pi_div_two_sub _ #align real.angle.sin_pi_div_two_sub Real.Angle.sin_pi_div_two_sub theorem cos_add_pi_div_two (θ : Angle) : cos (θ + ↑(π / 2)) = -sin θ := by induction θ using Real.Angle.induction_on exact Real.cos_add_pi_div_two _ #align real.angle.cos_add_pi_div_two Real.Angle.cos_add_pi_div_two theorem cos_sub_pi_div_two (θ : Angle) : cos (θ - ↑(π / 2)) = sin θ := by induction θ using Real.Angle.induction_on exact Real.cos_sub_pi_div_two _ #align real.angle.cos_sub_pi_div_two Real.Angle.cos_sub_pi_div_two theorem cos_pi_div_two_sub (θ : Angle) : cos (↑(π / 2) - θ) = sin θ := by induction θ using Real.Angle.induction_on exact Real.cos_pi_div_two_sub _ #align real.angle.cos_pi_div_two_sub Real.Angle.cos_pi_div_two_sub theorem abs_sin_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) : |sin θ| = |sin ψ| := by rw [two_nsmul_eq_iff] at h rcases h with (rfl | rfl) · rfl · rw [sin_add_pi, abs_neg] #align real.angle.abs_sin_eq_of_two_nsmul_eq Real.Angle.abs_sin_eq_of_two_nsmul_eq theorem abs_sin_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) : |sin θ| = |sin ψ| := by simp_rw [two_zsmul, ← two_nsmul] at h exact abs_sin_eq_of_two_nsmul_eq h #align real.angle.abs_sin_eq_of_two_zsmul_eq Real.Angle.abs_sin_eq_of_two_zsmul_eq theorem abs_cos_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) : |cos θ| = |cos ψ| := by rw [two_nsmul_eq_iff] at h rcases h with (rfl | rfl) · rfl · rw [cos_add_pi, abs_neg] #align real.angle.abs_cos_eq_of_two_nsmul_eq Real.Angle.abs_cos_eq_of_two_nsmul_eq theorem abs_cos_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) : |cos θ| = |cos ψ| := by simp_rw [two_zsmul, ← two_nsmul] at h exact abs_cos_eq_of_two_nsmul_eq h #align real.angle.abs_cos_eq_of_two_zsmul_eq Real.Angle.abs_cos_eq_of_two_zsmul_eq @[simp] theorem coe_toIcoMod (θ ψ : ℝ) : ↑(toIcoMod two_pi_pos ψ θ) = (θ : Angle) := by rw [angle_eq_iff_two_pi_dvd_sub] refine ⟨-toIcoDiv two_pi_pos ψ θ, ?_⟩ rw [toIcoMod_sub_self, zsmul_eq_mul, mul_comm] #align real.angle.coe_to_Ico_mod Real.Angle.coe_toIcoMod @[simp] theorem coe_toIocMod (θ ψ : ℝ) : ↑(toIocMod two_pi_pos ψ θ) = (θ : Angle) := by rw [angle_eq_iff_two_pi_dvd_sub] refine ⟨-toIocDiv two_pi_pos ψ θ, ?_⟩ rw [toIocMod_sub_self, zsmul_eq_mul, mul_comm] #align real.angle.coe_to_Ioc_mod Real.Angle.coe_toIocMod def toReal (θ : Angle) : ℝ := (toIocMod_periodic two_pi_pos (-π)).lift θ #align real.angle.to_real Real.Angle.toReal theorem toReal_coe (θ : ℝ) : (θ : Angle).toReal = toIocMod two_pi_pos (-π) θ := rfl #align real.angle.to_real_coe Real.Angle.toReal_coe theorem toReal_coe_eq_self_iff {θ : ℝ} : (θ : Angle).toReal = θ ↔ -π < θ ∧ θ ≤ π := by rw [toReal_coe, toIocMod_eq_self two_pi_pos] ring_nf rfl #align real.angle.to_real_coe_eq_self_iff Real.Angle.toReal_coe_eq_self_iff theorem toReal_coe_eq_self_iff_mem_Ioc {θ : ℝ} : (θ : Angle).toReal = θ ↔ θ ∈ Set.Ioc (-π) π := by rw [toReal_coe_eq_self_iff, ← Set.mem_Ioc] #align real.angle.to_real_coe_eq_self_iff_mem_Ioc Real.Angle.toReal_coe_eq_self_iff_mem_Ioc theorem toReal_injective : Function.Injective toReal := by intro θ ψ h induction θ using Real.Angle.induction_on induction ψ using Real.Angle.induction_on simpa [toReal_coe, toIocMod_eq_toIocMod, zsmul_eq_mul, mul_comm _ (2 * π), ← angle_eq_iff_two_pi_dvd_sub, eq_comm] using h #align real.angle.to_real_injective Real.Angle.toReal_injective @[simp] theorem toReal_inj {θ ψ : Angle} : θ.toReal = ψ.toReal ↔ θ = ψ := toReal_injective.eq_iff #align real.angle.to_real_inj Real.Angle.toReal_inj @[simp] theorem coe_toReal (θ : Angle) : (θ.toReal : Angle) = θ := by induction θ using Real.Angle.induction_on exact coe_toIocMod _ _ #align real.angle.coe_to_real Real.Angle.coe_toReal theorem neg_pi_lt_toReal (θ : Angle) : -π < θ.toReal := by induction θ using Real.Angle.induction_on exact left_lt_toIocMod _ _ _ #align real.angle.neg_pi_lt_to_real Real.Angle.neg_pi_lt_toReal theorem toReal_le_pi (θ : Angle) : θ.toReal ≤ π := by induction θ using Real.Angle.induction_on convert toIocMod_le_right two_pi_pos _ _ ring #align real.angle.to_real_le_pi Real.Angle.toReal_le_pi theorem abs_toReal_le_pi (θ : Angle) : |θ.toReal| ≤ π := abs_le.2 ⟨(neg_pi_lt_toReal _).le, toReal_le_pi _⟩ #align real.angle.abs_to_real_le_pi Real.Angle.abs_toReal_le_pi theorem toReal_mem_Ioc (θ : Angle) : θ.toReal ∈ Set.Ioc (-π) π := ⟨neg_pi_lt_toReal _, toReal_le_pi _⟩ #align real.angle.to_real_mem_Ioc Real.Angle.toReal_mem_Ioc @[simp] theorem toIocMod_toReal (θ : Angle) : toIocMod two_pi_pos (-π) θ.toReal = θ.toReal := by induction θ using Real.Angle.induction_on rw [toReal_coe] exact toIocMod_toIocMod _ _ _ _ #align real.angle.to_Ioc_mod_to_real Real.Angle.toIocMod_toReal @[simp] theorem toReal_zero : (0 : Angle).toReal = 0 := by rw [← coe_zero, toReal_coe_eq_self_iff] exact ⟨Left.neg_neg_iff.2 Real.pi_pos, Real.pi_pos.le⟩ #align real.angle.to_real_zero Real.Angle.toReal_zero @[simp] theorem toReal_eq_zero_iff {θ : Angle} : θ.toReal = 0 ↔ θ = 0 := by nth_rw 1 [← toReal_zero] exact toReal_inj #align real.angle.to_real_eq_zero_iff Real.Angle.toReal_eq_zero_iff @[simp] theorem toReal_pi : (π : Angle).toReal = π := by rw [toReal_coe_eq_self_iff] exact ⟨Left.neg_lt_self Real.pi_pos, le_refl _⟩ #align real.angle.to_real_pi Real.Angle.toReal_pi @[simp] theorem toReal_eq_pi_iff {θ : Angle} : θ.toReal = π ↔ θ = π := by rw [← toReal_inj, toReal_pi] #align real.angle.to_real_eq_pi_iff Real.Angle.toReal_eq_pi_iff theorem pi_ne_zero : (π : Angle) ≠ 0 := by rw [← toReal_injective.ne_iff, toReal_pi, toReal_zero] exact Real.pi_ne_zero #align real.angle.pi_ne_zero Real.Angle.pi_ne_zero @[simp] theorem toReal_pi_div_two : ((π / 2 : ℝ) : Angle).toReal = π / 2 := toReal_coe_eq_self_iff.2 <| by constructor <;> linarith [pi_pos] #align real.angle.to_real_pi_div_two Real.Angle.toReal_pi_div_two @[simp] theorem toReal_eq_pi_div_two_iff {θ : Angle} : θ.toReal = π / 2 ↔ θ = (π / 2 : ℝ) := by rw [← toReal_inj, toReal_pi_div_two] #align real.angle.to_real_eq_pi_div_two_iff Real.Angle.toReal_eq_pi_div_two_iff @[simp] theorem toReal_neg_pi_div_two : ((-π / 2 : ℝ) : Angle).toReal = -π / 2 := toReal_coe_eq_self_iff.2 <| by constructor <;> linarith [pi_pos] #align real.angle.to_real_neg_pi_div_two Real.Angle.toReal_neg_pi_div_two @[simp] theorem toReal_eq_neg_pi_div_two_iff {θ : Angle} : θ.toReal = -π / 2 ↔ θ = (-π / 2 : ℝ) := by rw [← toReal_inj, toReal_neg_pi_div_two] #align real.angle.to_real_eq_neg_pi_div_two_iff Real.Angle.toReal_eq_neg_pi_div_two_iff theorem pi_div_two_ne_zero : ((π / 2 : ℝ) : Angle) ≠ 0 := by rw [← toReal_injective.ne_iff, toReal_pi_div_two, toReal_zero] exact div_ne_zero Real.pi_ne_zero two_ne_zero #align real.angle.pi_div_two_ne_zero Real.Angle.pi_div_two_ne_zero theorem neg_pi_div_two_ne_zero : ((-π / 2 : ℝ) : Angle) ≠ 0 := by rw [← toReal_injective.ne_iff, toReal_neg_pi_div_two, toReal_zero] exact div_ne_zero (neg_ne_zero.2 Real.pi_ne_zero) two_ne_zero #align real.angle.neg_pi_div_two_ne_zero Real.Angle.neg_pi_div_two_ne_zero theorem abs_toReal_coe_eq_self_iff {θ : ℝ} : |(θ : Angle).toReal| = θ ↔ 0 ≤ θ ∧ θ ≤ π := ⟨fun h => h ▸ ⟨abs_nonneg _, abs_toReal_le_pi _⟩, fun h => (toReal_coe_eq_self_iff.2 ⟨(Left.neg_neg_iff.2 Real.pi_pos).trans_le h.1, h.2⟩).symm ▸ abs_eq_self.2 h.1⟩ #align real.angle.abs_to_real_coe_eq_self_iff Real.Angle.abs_toReal_coe_eq_self_iff theorem abs_toReal_neg_coe_eq_self_iff {θ : ℝ} : |(-θ : Angle).toReal| = θ ↔ 0 ≤ θ ∧ θ ≤ π := by refine ⟨fun h => h ▸ ⟨abs_nonneg _, abs_toReal_le_pi _⟩, fun h => ?_⟩ by_cases hnegpi : θ = π; · simp [hnegpi, Real.pi_pos.le] rw [← coe_neg, toReal_coe_eq_self_iff.2 ⟨neg_lt_neg (lt_of_le_of_ne h.2 hnegpi), (neg_nonpos.2 h.1).trans Real.pi_pos.le⟩, abs_neg, abs_eq_self.2 h.1] #align real.angle.abs_to_real_neg_coe_eq_self_iff Real.Angle.abs_toReal_neg_coe_eq_self_iff theorem abs_toReal_eq_pi_div_two_iff {θ : Angle} : |θ.toReal| = π / 2 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by rw [abs_eq (div_nonneg Real.pi_pos.le two_pos.le), ← neg_div, toReal_eq_pi_div_two_iff, toReal_eq_neg_pi_div_two_iff] #align real.angle.abs_to_real_eq_pi_div_two_iff Real.Angle.abs_toReal_eq_pi_div_two_iff theorem nsmul_toReal_eq_mul {n : ℕ} (h : n ≠ 0) {θ : Angle} : (n • θ).toReal = n * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / n) (π / n) := by nth_rw 1 [← coe_toReal θ] have h' : 0 < (n : ℝ) := mod_cast Nat.pos_of_ne_zero h rw [← coe_nsmul, nsmul_eq_mul, toReal_coe_eq_self_iff, Set.mem_Ioc, div_lt_iff' h', le_div_iff' h'] #align real.angle.nsmul_to_real_eq_mul Real.Angle.nsmul_toReal_eq_mul theorem two_nsmul_toReal_eq_two_mul {θ : Angle} : ((2 : ℕ) • θ).toReal = 2 * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / 2) (π / 2) := mod_cast nsmul_toReal_eq_mul two_ne_zero #align real.angle.two_nsmul_to_real_eq_two_mul Real.Angle.two_nsmul_toReal_eq_two_mul theorem two_zsmul_toReal_eq_two_mul {θ : Angle} : ((2 : ℤ) • θ).toReal = 2 * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / 2) (π / 2) := by rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul] #align real.angle.two_zsmul_to_real_eq_two_mul Real.Angle.two_zsmul_toReal_eq_two_mul
Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean
681
685
theorem toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff {θ : ℝ} {k : ℤ} : (θ : Angle).toReal = θ - 2 * k * π ↔ θ ∈ Set.Ioc ((2 * k - 1 : ℝ) * π) ((2 * k + 1) * π) := by
rw [← sub_zero (θ : Angle), ← zsmul_zero k, ← coe_two_pi, ← coe_zsmul, ← coe_sub, zsmul_eq_mul, ← mul_assoc, mul_comm (k : ℝ), toReal_coe_eq_self_iff, Set.mem_Ioc] exact ⟨fun h => ⟨by linarith, by linarith⟩, fun h => ⟨by linarith, by linarith⟩⟩
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic import Mathlib.Analysis.Normed.Group.AddCircle import Mathlib.Algebra.CharZero.Quotient import Mathlib.Topology.Instances.Sign #align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" open Real noncomputable section namespace Real -- Porting note: can't derive `NormedAddCommGroup, Inhabited` def Angle : Type := AddCircle (2 * π) #align real.angle Real.Angle namespace Angle -- Porting note (#10754): added due to missing instances due to no deriving instance : NormedAddCommGroup Angle := inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π))) -- Porting note (#10754): added due to missing instances due to no deriving instance : Inhabited Angle := inferInstanceAs (Inhabited (AddCircle (2 * π))) -- Porting note (#10754): added due to missing instances due to no deriving -- also, without this, a plain `QuotientAddGroup.mk` -- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)` @[coe] protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r instance : Coe ℝ Angle := ⟨Angle.coe⟩ instance : CircularOrder Real.Angle := QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩) @[continuity] theorem continuous_coe : Continuous ((↑) : ℝ → Angle) := continuous_quotient_mk' #align real.angle.continuous_coe Real.Angle.continuous_coe def coeHom : ℝ →+ Angle := QuotientAddGroup.mk' _ #align real.angle.coe_hom Real.Angle.coeHom @[simp] theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) := rfl #align real.angle.coe_coe_hom Real.Angle.coe_coeHom @[elab_as_elim] protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ := Quotient.inductionOn' θ h #align real.angle.induction_on Real.Angle.induction_on @[simp] theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) := rfl #align real.angle.coe_zero Real.Angle.coe_zero @[simp] theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) := rfl #align real.angle.coe_add Real.Angle.coe_add @[simp] theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) := rfl #align real.angle.coe_neg Real.Angle.coe_neg @[simp] theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) := rfl #align real.angle.coe_sub Real.Angle.coe_sub theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) := rfl #align real.angle.coe_nsmul Real.Angle.coe_nsmul theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) := rfl #align real.angle.coe_zsmul Real.Angle.coe_zsmul @[simp, norm_cast] theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n #align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul @[simp, norm_cast] theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n #align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul @[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul @[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure, AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm] -- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise rw [Angle.coe, Angle.coe, QuotientAddGroup.eq] simp only [AddSubgroup.zmultiples_eq_closure, AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm] #align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub @[simp] theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) := angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩ #align real.angle.coe_two_pi Real.Angle.coe_two_pi @[simp] theorem neg_coe_pi : -(π : Angle) = π := by rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub] use -1 simp [two_mul, sub_eq_add_neg] #align real.angle.neg_coe_pi Real.Angle.neg_coe_pi @[simp] theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by rw [← coe_nsmul, two_nsmul, add_halves] #align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two @[simp] theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by rw [← coe_zsmul, two_zsmul, add_halves] #align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two -- Porting note (#10618): @[simp] can prove it theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi] #align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two -- Porting note (#10618): @[simp] can prove it theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two] #align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by rw [sub_eq_add_neg, neg_coe_pi] #align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi @[simp] theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul] #align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi @[simp] theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul] #align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi @[simp] theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi] #align real.angle.coe_pi_add_coe_pi Real.Angle.coe_pi_add_coe_pi theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) : z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) := QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz #align real.angle.zsmul_eq_iff Real.Angle.zsmul_eq_iff theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) : n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) := QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz #align real.angle.nsmul_eq_iff Real.Angle.nsmul_eq_iff theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by -- Porting note: no `Int.natAbs_bit0` anymore have : Int.natAbs 2 = 2 := rfl rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero, Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two, mul_div_cancel_left₀ (_ : ℝ) two_ne_zero] #align real.angle.two_zsmul_eq_iff Real.Angle.two_zsmul_eq_iff theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by simp_rw [← natCast_zsmul, Nat.cast_ofNat, two_zsmul_eq_iff] #align real.angle.two_nsmul_eq_iff Real.Angle.two_nsmul_eq_iff theorem two_nsmul_eq_zero_iff {θ : Angle} : (2 : ℕ) • θ = 0 ↔ θ = 0 ∨ θ = π := by convert two_nsmul_eq_iff <;> simp #align real.angle.two_nsmul_eq_zero_iff Real.Angle.two_nsmul_eq_zero_iff theorem two_nsmul_ne_zero_iff {θ : Angle} : (2 : ℕ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← two_nsmul_eq_zero_iff] #align real.angle.two_nsmul_ne_zero_iff Real.Angle.two_nsmul_ne_zero_iff theorem two_zsmul_eq_zero_iff {θ : Angle} : (2 : ℤ) • θ = 0 ↔ θ = 0 ∨ θ = π := by simp_rw [two_zsmul, ← two_nsmul, two_nsmul_eq_zero_iff] #align real.angle.two_zsmul_eq_zero_iff Real.Angle.two_zsmul_eq_zero_iff theorem two_zsmul_ne_zero_iff {θ : Angle} : (2 : ℤ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← two_zsmul_eq_zero_iff] #align real.angle.two_zsmul_ne_zero_iff Real.Angle.two_zsmul_ne_zero_iff theorem eq_neg_self_iff {θ : Angle} : θ = -θ ↔ θ = 0 ∨ θ = π := by rw [← add_eq_zero_iff_eq_neg, ← two_nsmul, two_nsmul_eq_zero_iff] #align real.angle.eq_neg_self_iff Real.Angle.eq_neg_self_iff theorem ne_neg_self_iff {θ : Angle} : θ ≠ -θ ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← eq_neg_self_iff.not] #align real.angle.ne_neg_self_iff Real.Angle.ne_neg_self_iff theorem neg_eq_self_iff {θ : Angle} : -θ = θ ↔ θ = 0 ∨ θ = π := by rw [eq_comm, eq_neg_self_iff] #align real.angle.neg_eq_self_iff Real.Angle.neg_eq_self_iff theorem neg_ne_self_iff {θ : Angle} : -θ ≠ θ ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← neg_eq_self_iff.not] #align real.angle.neg_ne_self_iff Real.Angle.neg_ne_self_iff theorem two_nsmul_eq_pi_iff {θ : Angle} : (2 : ℕ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by have h : (π : Angle) = ((2 : ℕ) • (π / 2 : ℝ) :) := by rw [two_nsmul, add_halves] nth_rw 1 [h] rw [coe_nsmul, two_nsmul_eq_iff] -- Porting note: `congr` didn't simplify the goal of iff of `Or`s convert Iff.rfl rw [add_comm, ← coe_add, ← sub_eq_zero, ← coe_sub, neg_div, ← neg_sub, sub_neg_eq_add, add_assoc, add_halves, ← two_mul, coe_neg, coe_two_pi, neg_zero] #align real.angle.two_nsmul_eq_pi_iff Real.Angle.two_nsmul_eq_pi_iff theorem two_zsmul_eq_pi_iff {θ : Angle} : (2 : ℤ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by rw [two_zsmul, ← two_nsmul, two_nsmul_eq_pi_iff] #align real.angle.two_zsmul_eq_pi_iff Real.Angle.two_zsmul_eq_pi_iff theorem cos_eq_iff_coe_eq_or_eq_neg {θ ψ : ℝ} : cos θ = cos ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) = -ψ := by constructor · intro Hcos rw [← sub_eq_zero, cos_sub_cos, mul_eq_zero, mul_eq_zero, neg_eq_zero, eq_false (two_ne_zero' ℝ), false_or_iff, sin_eq_zero_iff, sin_eq_zero_iff] at Hcos rcases Hcos with (⟨n, hn⟩ | ⟨n, hn⟩) · right rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), ← sub_eq_iff_eq_add] at hn rw [← hn, coe_sub, eq_neg_iff_add_eq_zero, sub_add_cancel, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero] · left rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), eq_sub_iff_add_eq] at hn rw [← hn, coe_add, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero, zero_add] · rw [angle_eq_iff_two_pi_dvd_sub, ← coe_neg, angle_eq_iff_two_pi_dvd_sub] rintro (⟨k, H⟩ | ⟨k, H⟩) · rw [← sub_eq_zero, cos_sub_cos, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero] rw [← sub_eq_zero, cos_sub_cos, ← sub_neg_eq_add, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul] #align real.angle.cos_eq_iff_coe_eq_or_eq_neg Real.Angle.cos_eq_iff_coe_eq_or_eq_neg theorem sin_eq_iff_coe_eq_or_add_eq_pi {θ ψ : ℝ} : sin θ = sin ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) + ψ = π := by constructor · intro Hsin rw [← cos_pi_div_two_sub, ← cos_pi_div_two_sub] at Hsin cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hsin with h h · left rw [coe_sub, coe_sub] at h exact sub_right_inj.1 h right rw [coe_sub, coe_sub, eq_neg_iff_add_eq_zero, add_sub, sub_add_eq_add_sub, ← coe_add, add_halves, sub_sub, sub_eq_zero] at h exact h.symm · rw [angle_eq_iff_two_pi_dvd_sub, ← eq_sub_iff_add_eq, ← coe_sub, angle_eq_iff_two_pi_dvd_sub] rintro (⟨k, H⟩ | ⟨k, H⟩) · rw [← sub_eq_zero, sin_sub_sin, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul] have H' : θ + ψ = 2 * k * π + π := by rwa [← sub_add, sub_add_eq_add_sub, sub_eq_iff_eq_add, mul_assoc, mul_comm π _, ← mul_assoc] at H rw [← sub_eq_zero, sin_sub_sin, H', add_div, mul_assoc 2 _ π, mul_div_cancel_left₀ _ (two_ne_zero' ℝ), cos_add_pi_div_two, sin_int_mul_pi, neg_zero, mul_zero] #align real.angle.sin_eq_iff_coe_eq_or_add_eq_pi Real.Angle.sin_eq_iff_coe_eq_or_add_eq_pi theorem cos_sin_inj {θ ψ : ℝ} (Hcos : cos θ = cos ψ) (Hsin : sin θ = sin ψ) : (θ : Angle) = ψ := by cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hcos with hc hc; · exact hc cases' sin_eq_iff_coe_eq_or_add_eq_pi.mp Hsin with hs hs; · exact hs rw [eq_neg_iff_add_eq_zero, hs] at hc obtain ⟨n, hn⟩ : ∃ n, n • _ = _ := QuotientAddGroup.leftRel_apply.mp (Quotient.exact' hc) rw [← neg_one_mul, add_zero, ← sub_eq_zero, zsmul_eq_mul, ← mul_assoc, ← sub_mul, mul_eq_zero, eq_false (ne_of_gt pi_pos), or_false_iff, sub_neg_eq_add, ← Int.cast_zero, ← Int.cast_one, ← Int.cast_ofNat, ← Int.cast_mul, ← Int.cast_add, Int.cast_inj] at hn have : (n * 2 + 1) % (2 : ℤ) = 0 % (2 : ℤ) := congr_arg (· % (2 : ℤ)) hn rw [add_comm, Int.add_mul_emod_self] at this exact absurd this one_ne_zero #align real.angle.cos_sin_inj Real.Angle.cos_sin_inj def sin (θ : Angle) : ℝ := sin_periodic.lift θ #align real.angle.sin Real.Angle.sin @[simp] theorem sin_coe (x : ℝ) : sin (x : Angle) = Real.sin x := rfl #align real.angle.sin_coe Real.Angle.sin_coe @[continuity] theorem continuous_sin : Continuous sin := Real.continuous_sin.quotient_liftOn' _ #align real.angle.continuous_sin Real.Angle.continuous_sin def cos (θ : Angle) : ℝ := cos_periodic.lift θ #align real.angle.cos Real.Angle.cos @[simp] theorem cos_coe (x : ℝ) : cos (x : Angle) = Real.cos x := rfl #align real.angle.cos_coe Real.Angle.cos_coe @[continuity] theorem continuous_cos : Continuous cos := Real.continuous_cos.quotient_liftOn' _ #align real.angle.continuous_cos Real.Angle.continuous_cos theorem cos_eq_real_cos_iff_eq_or_eq_neg {θ : Angle} {ψ : ℝ} : cos θ = Real.cos ψ ↔ θ = ψ ∨ θ = -ψ := by induction θ using Real.Angle.induction_on exact cos_eq_iff_coe_eq_or_eq_neg #align real.angle.cos_eq_real_cos_iff_eq_or_eq_neg Real.Angle.cos_eq_real_cos_iff_eq_or_eq_neg theorem cos_eq_iff_eq_or_eq_neg {θ ψ : Angle} : cos θ = cos ψ ↔ θ = ψ ∨ θ = -ψ := by induction ψ using Real.Angle.induction_on exact cos_eq_real_cos_iff_eq_or_eq_neg #align real.angle.cos_eq_iff_eq_or_eq_neg Real.Angle.cos_eq_iff_eq_or_eq_neg theorem sin_eq_real_sin_iff_eq_or_add_eq_pi {θ : Angle} {ψ : ℝ} : sin θ = Real.sin ψ ↔ θ = ψ ∨ θ + ψ = π := by induction θ using Real.Angle.induction_on exact sin_eq_iff_coe_eq_or_add_eq_pi #align real.angle.sin_eq_real_sin_iff_eq_or_add_eq_pi Real.Angle.sin_eq_real_sin_iff_eq_or_add_eq_pi theorem sin_eq_iff_eq_or_add_eq_pi {θ ψ : Angle} : sin θ = sin ψ ↔ θ = ψ ∨ θ + ψ = π := by induction ψ using Real.Angle.induction_on exact sin_eq_real_sin_iff_eq_or_add_eq_pi #align real.angle.sin_eq_iff_eq_or_add_eq_pi Real.Angle.sin_eq_iff_eq_or_add_eq_pi @[simp] theorem sin_zero : sin (0 : Angle) = 0 := by rw [← coe_zero, sin_coe, Real.sin_zero] #align real.angle.sin_zero Real.Angle.sin_zero -- Porting note (#10618): @[simp] can prove it theorem sin_coe_pi : sin (π : Angle) = 0 := by rw [sin_coe, Real.sin_pi] #align real.angle.sin_coe_pi Real.Angle.sin_coe_pi theorem sin_eq_zero_iff {θ : Angle} : sin θ = 0 ↔ θ = 0 ∨ θ = π := by nth_rw 1 [← sin_zero] rw [sin_eq_iff_eq_or_add_eq_pi] simp #align real.angle.sin_eq_zero_iff Real.Angle.sin_eq_zero_iff theorem sin_ne_zero_iff {θ : Angle} : sin θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by rw [← not_or, ← sin_eq_zero_iff] #align real.angle.sin_ne_zero_iff Real.Angle.sin_ne_zero_iff @[simp] theorem sin_neg (θ : Angle) : sin (-θ) = -sin θ := by induction θ using Real.Angle.induction_on exact Real.sin_neg _ #align real.angle.sin_neg Real.Angle.sin_neg theorem sin_antiperiodic : Function.Antiperiodic sin (π : Angle) := by intro θ induction θ using Real.Angle.induction_on exact Real.sin_antiperiodic _ #align real.angle.sin_antiperiodic Real.Angle.sin_antiperiodic @[simp] theorem sin_add_pi (θ : Angle) : sin (θ + π) = -sin θ := sin_antiperiodic θ #align real.angle.sin_add_pi Real.Angle.sin_add_pi @[simp] theorem sin_sub_pi (θ : Angle) : sin (θ - π) = -sin θ := sin_antiperiodic.sub_eq θ #align real.angle.sin_sub_pi Real.Angle.sin_sub_pi @[simp] theorem cos_zero : cos (0 : Angle) = 1 := by rw [← coe_zero, cos_coe, Real.cos_zero] #align real.angle.cos_zero Real.Angle.cos_zero -- Porting note (#10618): @[simp] can prove it theorem cos_coe_pi : cos (π : Angle) = -1 := by rw [cos_coe, Real.cos_pi] #align real.angle.cos_coe_pi Real.Angle.cos_coe_pi @[simp] theorem cos_neg (θ : Angle) : cos (-θ) = cos θ := by induction θ using Real.Angle.induction_on exact Real.cos_neg _ #align real.angle.cos_neg Real.Angle.cos_neg theorem cos_antiperiodic : Function.Antiperiodic cos (π : Angle) := by intro θ induction θ using Real.Angle.induction_on exact Real.cos_antiperiodic _ #align real.angle.cos_antiperiodic Real.Angle.cos_antiperiodic @[simp] theorem cos_add_pi (θ : Angle) : cos (θ + π) = -cos θ := cos_antiperiodic θ #align real.angle.cos_add_pi Real.Angle.cos_add_pi @[simp] theorem cos_sub_pi (θ : Angle) : cos (θ - π) = -cos θ := cos_antiperiodic.sub_eq θ #align real.angle.cos_sub_pi Real.Angle.cos_sub_pi theorem cos_eq_zero_iff {θ : Angle} : cos θ = 0 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by rw [← cos_pi_div_two, ← cos_coe, cos_eq_iff_eq_or_eq_neg, ← coe_neg, ← neg_div] #align real.angle.cos_eq_zero_iff Real.Angle.cos_eq_zero_iff theorem sin_add (θ₁ θ₂ : Real.Angle) : sin (θ₁ + θ₂) = sin θ₁ * cos θ₂ + cos θ₁ * sin θ₂ := by induction θ₁ using Real.Angle.induction_on induction θ₂ using Real.Angle.induction_on exact Real.sin_add _ _ #align real.angle.sin_add Real.Angle.sin_add theorem cos_add (θ₁ θ₂ : Real.Angle) : cos (θ₁ + θ₂) = cos θ₁ * cos θ₂ - sin θ₁ * sin θ₂ := by induction θ₂ using Real.Angle.induction_on induction θ₁ using Real.Angle.induction_on exact Real.cos_add _ _ #align real.angle.cos_add Real.Angle.cos_add @[simp] theorem cos_sq_add_sin_sq (θ : Real.Angle) : cos θ ^ 2 + sin θ ^ 2 = 1 := by induction θ using Real.Angle.induction_on exact Real.cos_sq_add_sin_sq _ #align real.angle.cos_sq_add_sin_sq Real.Angle.cos_sq_add_sin_sq theorem sin_add_pi_div_two (θ : Angle) : sin (θ + ↑(π / 2)) = cos θ := by induction θ using Real.Angle.induction_on exact Real.sin_add_pi_div_two _ #align real.angle.sin_add_pi_div_two Real.Angle.sin_add_pi_div_two theorem sin_sub_pi_div_two (θ : Angle) : sin (θ - ↑(π / 2)) = -cos θ := by induction θ using Real.Angle.induction_on exact Real.sin_sub_pi_div_two _ #align real.angle.sin_sub_pi_div_two Real.Angle.sin_sub_pi_div_two theorem sin_pi_div_two_sub (θ : Angle) : sin (↑(π / 2) - θ) = cos θ := by induction θ using Real.Angle.induction_on exact Real.sin_pi_div_two_sub _ #align real.angle.sin_pi_div_two_sub Real.Angle.sin_pi_div_two_sub theorem cos_add_pi_div_two (θ : Angle) : cos (θ + ↑(π / 2)) = -sin θ := by induction θ using Real.Angle.induction_on exact Real.cos_add_pi_div_two _ #align real.angle.cos_add_pi_div_two Real.Angle.cos_add_pi_div_two theorem cos_sub_pi_div_two (θ : Angle) : cos (θ - ↑(π / 2)) = sin θ := by induction θ using Real.Angle.induction_on exact Real.cos_sub_pi_div_two _ #align real.angle.cos_sub_pi_div_two Real.Angle.cos_sub_pi_div_two theorem cos_pi_div_two_sub (θ : Angle) : cos (↑(π / 2) - θ) = sin θ := by induction θ using Real.Angle.induction_on exact Real.cos_pi_div_two_sub _ #align real.angle.cos_pi_div_two_sub Real.Angle.cos_pi_div_two_sub theorem abs_sin_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) : |sin θ| = |sin ψ| := by rw [two_nsmul_eq_iff] at h rcases h with (rfl | rfl) · rfl · rw [sin_add_pi, abs_neg] #align real.angle.abs_sin_eq_of_two_nsmul_eq Real.Angle.abs_sin_eq_of_two_nsmul_eq theorem abs_sin_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) : |sin θ| = |sin ψ| := by simp_rw [two_zsmul, ← two_nsmul] at h exact abs_sin_eq_of_two_nsmul_eq h #align real.angle.abs_sin_eq_of_two_zsmul_eq Real.Angle.abs_sin_eq_of_two_zsmul_eq theorem abs_cos_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) : |cos θ| = |cos ψ| := by rw [two_nsmul_eq_iff] at h rcases h with (rfl | rfl) · rfl · rw [cos_add_pi, abs_neg] #align real.angle.abs_cos_eq_of_two_nsmul_eq Real.Angle.abs_cos_eq_of_two_nsmul_eq theorem abs_cos_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) : |cos θ| = |cos ψ| := by simp_rw [two_zsmul, ← two_nsmul] at h exact abs_cos_eq_of_two_nsmul_eq h #align real.angle.abs_cos_eq_of_two_zsmul_eq Real.Angle.abs_cos_eq_of_two_zsmul_eq @[simp] theorem coe_toIcoMod (θ ψ : ℝ) : ↑(toIcoMod two_pi_pos ψ θ) = (θ : Angle) := by rw [angle_eq_iff_two_pi_dvd_sub] refine ⟨-toIcoDiv two_pi_pos ψ θ, ?_⟩ rw [toIcoMod_sub_self, zsmul_eq_mul, mul_comm] #align real.angle.coe_to_Ico_mod Real.Angle.coe_toIcoMod @[simp] theorem coe_toIocMod (θ ψ : ℝ) : ↑(toIocMod two_pi_pos ψ θ) = (θ : Angle) := by rw [angle_eq_iff_two_pi_dvd_sub] refine ⟨-toIocDiv two_pi_pos ψ θ, ?_⟩ rw [toIocMod_sub_self, zsmul_eq_mul, mul_comm] #align real.angle.coe_to_Ioc_mod Real.Angle.coe_toIocMod def toReal (θ : Angle) : ℝ := (toIocMod_periodic two_pi_pos (-π)).lift θ #align real.angle.to_real Real.Angle.toReal theorem toReal_coe (θ : ℝ) : (θ : Angle).toReal = toIocMod two_pi_pos (-π) θ := rfl #align real.angle.to_real_coe Real.Angle.toReal_coe theorem toReal_coe_eq_self_iff {θ : ℝ} : (θ : Angle).toReal = θ ↔ -π < θ ∧ θ ≤ π := by rw [toReal_coe, toIocMod_eq_self two_pi_pos] ring_nf rfl #align real.angle.to_real_coe_eq_self_iff Real.Angle.toReal_coe_eq_self_iff theorem toReal_coe_eq_self_iff_mem_Ioc {θ : ℝ} : (θ : Angle).toReal = θ ↔ θ ∈ Set.Ioc (-π) π := by rw [toReal_coe_eq_self_iff, ← Set.mem_Ioc] #align real.angle.to_real_coe_eq_self_iff_mem_Ioc Real.Angle.toReal_coe_eq_self_iff_mem_Ioc theorem toReal_injective : Function.Injective toReal := by intro θ ψ h induction θ using Real.Angle.induction_on induction ψ using Real.Angle.induction_on simpa [toReal_coe, toIocMod_eq_toIocMod, zsmul_eq_mul, mul_comm _ (2 * π), ← angle_eq_iff_two_pi_dvd_sub, eq_comm] using h #align real.angle.to_real_injective Real.Angle.toReal_injective @[simp] theorem toReal_inj {θ ψ : Angle} : θ.toReal = ψ.toReal ↔ θ = ψ := toReal_injective.eq_iff #align real.angle.to_real_inj Real.Angle.toReal_inj @[simp] theorem coe_toReal (θ : Angle) : (θ.toReal : Angle) = θ := by induction θ using Real.Angle.induction_on exact coe_toIocMod _ _ #align real.angle.coe_to_real Real.Angle.coe_toReal theorem neg_pi_lt_toReal (θ : Angle) : -π < θ.toReal := by induction θ using Real.Angle.induction_on exact left_lt_toIocMod _ _ _ #align real.angle.neg_pi_lt_to_real Real.Angle.neg_pi_lt_toReal theorem toReal_le_pi (θ : Angle) : θ.toReal ≤ π := by induction θ using Real.Angle.induction_on convert toIocMod_le_right two_pi_pos _ _ ring #align real.angle.to_real_le_pi Real.Angle.toReal_le_pi theorem abs_toReal_le_pi (θ : Angle) : |θ.toReal| ≤ π := abs_le.2 ⟨(neg_pi_lt_toReal _).le, toReal_le_pi _⟩ #align real.angle.abs_to_real_le_pi Real.Angle.abs_toReal_le_pi theorem toReal_mem_Ioc (θ : Angle) : θ.toReal ∈ Set.Ioc (-π) π := ⟨neg_pi_lt_toReal _, toReal_le_pi _⟩ #align real.angle.to_real_mem_Ioc Real.Angle.toReal_mem_Ioc @[simp] theorem toIocMod_toReal (θ : Angle) : toIocMod two_pi_pos (-π) θ.toReal = θ.toReal := by induction θ using Real.Angle.induction_on rw [toReal_coe] exact toIocMod_toIocMod _ _ _ _ #align real.angle.to_Ioc_mod_to_real Real.Angle.toIocMod_toReal @[simp] theorem toReal_zero : (0 : Angle).toReal = 0 := by rw [← coe_zero, toReal_coe_eq_self_iff] exact ⟨Left.neg_neg_iff.2 Real.pi_pos, Real.pi_pos.le⟩ #align real.angle.to_real_zero Real.Angle.toReal_zero @[simp] theorem toReal_eq_zero_iff {θ : Angle} : θ.toReal = 0 ↔ θ = 0 := by nth_rw 1 [← toReal_zero] exact toReal_inj #align real.angle.to_real_eq_zero_iff Real.Angle.toReal_eq_zero_iff @[simp] theorem toReal_pi : (π : Angle).toReal = π := by rw [toReal_coe_eq_self_iff] exact ⟨Left.neg_lt_self Real.pi_pos, le_refl _⟩ #align real.angle.to_real_pi Real.Angle.toReal_pi @[simp] theorem toReal_eq_pi_iff {θ : Angle} : θ.toReal = π ↔ θ = π := by rw [← toReal_inj, toReal_pi] #align real.angle.to_real_eq_pi_iff Real.Angle.toReal_eq_pi_iff theorem pi_ne_zero : (π : Angle) ≠ 0 := by rw [← toReal_injective.ne_iff, toReal_pi, toReal_zero] exact Real.pi_ne_zero #align real.angle.pi_ne_zero Real.Angle.pi_ne_zero @[simp] theorem toReal_pi_div_two : ((π / 2 : ℝ) : Angle).toReal = π / 2 := toReal_coe_eq_self_iff.2 <| by constructor <;> linarith [pi_pos] #align real.angle.to_real_pi_div_two Real.Angle.toReal_pi_div_two @[simp] theorem toReal_eq_pi_div_two_iff {θ : Angle} : θ.toReal = π / 2 ↔ θ = (π / 2 : ℝ) := by rw [← toReal_inj, toReal_pi_div_two] #align real.angle.to_real_eq_pi_div_two_iff Real.Angle.toReal_eq_pi_div_two_iff @[simp] theorem toReal_neg_pi_div_two : ((-π / 2 : ℝ) : Angle).toReal = -π / 2 := toReal_coe_eq_self_iff.2 <| by constructor <;> linarith [pi_pos] #align real.angle.to_real_neg_pi_div_two Real.Angle.toReal_neg_pi_div_two @[simp] theorem toReal_eq_neg_pi_div_two_iff {θ : Angle} : θ.toReal = -π / 2 ↔ θ = (-π / 2 : ℝ) := by rw [← toReal_inj, toReal_neg_pi_div_two] #align real.angle.to_real_eq_neg_pi_div_two_iff Real.Angle.toReal_eq_neg_pi_div_two_iff theorem pi_div_two_ne_zero : ((π / 2 : ℝ) : Angle) ≠ 0 := by rw [← toReal_injective.ne_iff, toReal_pi_div_two, toReal_zero] exact div_ne_zero Real.pi_ne_zero two_ne_zero #align real.angle.pi_div_two_ne_zero Real.Angle.pi_div_two_ne_zero theorem neg_pi_div_two_ne_zero : ((-π / 2 : ℝ) : Angle) ≠ 0 := by rw [← toReal_injective.ne_iff, toReal_neg_pi_div_two, toReal_zero] exact div_ne_zero (neg_ne_zero.2 Real.pi_ne_zero) two_ne_zero #align real.angle.neg_pi_div_two_ne_zero Real.Angle.neg_pi_div_two_ne_zero theorem abs_toReal_coe_eq_self_iff {θ : ℝ} : |(θ : Angle).toReal| = θ ↔ 0 ≤ θ ∧ θ ≤ π := ⟨fun h => h ▸ ⟨abs_nonneg _, abs_toReal_le_pi _⟩, fun h => (toReal_coe_eq_self_iff.2 ⟨(Left.neg_neg_iff.2 Real.pi_pos).trans_le h.1, h.2⟩).symm ▸ abs_eq_self.2 h.1⟩ #align real.angle.abs_to_real_coe_eq_self_iff Real.Angle.abs_toReal_coe_eq_self_iff theorem abs_toReal_neg_coe_eq_self_iff {θ : ℝ} : |(-θ : Angle).toReal| = θ ↔ 0 ≤ θ ∧ θ ≤ π := by refine ⟨fun h => h ▸ ⟨abs_nonneg _, abs_toReal_le_pi _⟩, fun h => ?_⟩ by_cases hnegpi : θ = π; · simp [hnegpi, Real.pi_pos.le] rw [← coe_neg, toReal_coe_eq_self_iff.2 ⟨neg_lt_neg (lt_of_le_of_ne h.2 hnegpi), (neg_nonpos.2 h.1).trans Real.pi_pos.le⟩, abs_neg, abs_eq_self.2 h.1] #align real.angle.abs_to_real_neg_coe_eq_self_iff Real.Angle.abs_toReal_neg_coe_eq_self_iff theorem abs_toReal_eq_pi_div_two_iff {θ : Angle} : |θ.toReal| = π / 2 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by rw [abs_eq (div_nonneg Real.pi_pos.le two_pos.le), ← neg_div, toReal_eq_pi_div_two_iff, toReal_eq_neg_pi_div_two_iff] #align real.angle.abs_to_real_eq_pi_div_two_iff Real.Angle.abs_toReal_eq_pi_div_two_iff theorem nsmul_toReal_eq_mul {n : ℕ} (h : n ≠ 0) {θ : Angle} : (n • θ).toReal = n * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / n) (π / n) := by nth_rw 1 [← coe_toReal θ] have h' : 0 < (n : ℝ) := mod_cast Nat.pos_of_ne_zero h rw [← coe_nsmul, nsmul_eq_mul, toReal_coe_eq_self_iff, Set.mem_Ioc, div_lt_iff' h', le_div_iff' h'] #align real.angle.nsmul_to_real_eq_mul Real.Angle.nsmul_toReal_eq_mul theorem two_nsmul_toReal_eq_two_mul {θ : Angle} : ((2 : ℕ) • θ).toReal = 2 * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / 2) (π / 2) := mod_cast nsmul_toReal_eq_mul two_ne_zero #align real.angle.two_nsmul_to_real_eq_two_mul Real.Angle.two_nsmul_toReal_eq_two_mul theorem two_zsmul_toReal_eq_two_mul {θ : Angle} : ((2 : ℤ) • θ).toReal = 2 * θ.toReal ↔ θ.toReal ∈ Set.Ioc (-π / 2) (π / 2) := by rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul] #align real.angle.two_zsmul_to_real_eq_two_mul Real.Angle.two_zsmul_toReal_eq_two_mul theorem toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff {θ : ℝ} {k : ℤ} : (θ : Angle).toReal = θ - 2 * k * π ↔ θ ∈ Set.Ioc ((2 * k - 1 : ℝ) * π) ((2 * k + 1) * π) := by rw [← sub_zero (θ : Angle), ← zsmul_zero k, ← coe_two_pi, ← coe_zsmul, ← coe_sub, zsmul_eq_mul, ← mul_assoc, mul_comm (k : ℝ), toReal_coe_eq_self_iff, Set.mem_Ioc] exact ⟨fun h => ⟨by linarith, by linarith⟩, fun h => ⟨by linarith, by linarith⟩⟩ #align real.angle.to_real_coe_eq_self_sub_two_mul_int_mul_pi_iff Real.Angle.toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff theorem toReal_coe_eq_self_sub_two_pi_iff {θ : ℝ} : (θ : Angle).toReal = θ - 2 * π ↔ θ ∈ Set.Ioc π (3 * π) := by convert @toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff θ 1 <;> norm_num #align real.angle.to_real_coe_eq_self_sub_two_pi_iff Real.Angle.toReal_coe_eq_self_sub_two_pi_iff theorem toReal_coe_eq_self_add_two_pi_iff {θ : ℝ} : (θ : Angle).toReal = θ + 2 * π ↔ θ ∈ Set.Ioc (-3 * π) (-π) := by convert @toReal_coe_eq_self_sub_two_mul_int_mul_pi_iff θ (-1) using 2 <;> set_option tactic.skipAssignedInstances false in norm_num #align real.angle.to_real_coe_eq_self_add_two_pi_iff Real.Angle.toReal_coe_eq_self_add_two_pi_iff theorem two_nsmul_toReal_eq_two_mul_sub_two_pi {θ : Angle} : ((2 : ℕ) • θ).toReal = 2 * θ.toReal - 2 * π ↔ π / 2 < θ.toReal := by nth_rw 1 [← coe_toReal θ] rw [← coe_nsmul, two_nsmul, ← two_mul, toReal_coe_eq_self_sub_two_pi_iff, Set.mem_Ioc] exact ⟨fun h => by linarith, fun h => ⟨(div_lt_iff' (zero_lt_two' ℝ)).1 h, by linarith [pi_pos, toReal_le_pi θ]⟩⟩ #align real.angle.two_nsmul_to_real_eq_two_mul_sub_two_pi Real.Angle.two_nsmul_toReal_eq_two_mul_sub_two_pi theorem two_zsmul_toReal_eq_two_mul_sub_two_pi {θ : Angle} : ((2 : ℤ) • θ).toReal = 2 * θ.toReal - 2 * π ↔ π / 2 < θ.toReal := by rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul_sub_two_pi] #align real.angle.two_zsmul_to_real_eq_two_mul_sub_two_pi Real.Angle.two_zsmul_toReal_eq_two_mul_sub_two_pi
Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean
713
719
theorem two_nsmul_toReal_eq_two_mul_add_two_pi {θ : Angle} : ((2 : ℕ) • θ).toReal = 2 * θ.toReal + 2 * π ↔ θ.toReal ≤ -π / 2 := by
nth_rw 1 [← coe_toReal θ] rw [← coe_nsmul, two_nsmul, ← two_mul, toReal_coe_eq_self_add_two_pi_iff, Set.mem_Ioc] refine ⟨fun h => by linarith, fun h => ⟨by linarith [pi_pos, neg_pi_lt_toReal θ], (le_div_iff' (zero_lt_two' ℝ)).1 h⟩⟩
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
Mathlib/Algebra/Order/ToIntervalMod.lean
394
395
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)
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Polynomial.Degree.Lemmas #align_import data.polynomial.erase_lead from "leanprover-community/mathlib"@"fa256f00ce018e7b40e1dc756e403c86680bf448" noncomputable section open Polynomial open Polynomial Finset namespace Polynomial variable {R : Type*} [Semiring R] {f : R[X]} def eraseLead (f : R[X]) : R[X] := Polynomial.erase f.natDegree f #align polynomial.erase_lead Polynomial.eraseLead section EraseLead theorem eraseLead_support (f : R[X]) : f.eraseLead.support = f.support.erase f.natDegree := by simp only [eraseLead, support_erase] #align polynomial.erase_lead_support Polynomial.eraseLead_support theorem eraseLead_coeff (i : ℕ) : f.eraseLead.coeff i = if i = f.natDegree then 0 else f.coeff i := by simp only [eraseLead, coeff_erase] #align polynomial.erase_lead_coeff Polynomial.eraseLead_coeff @[simp] theorem eraseLead_coeff_natDegree : f.eraseLead.coeff f.natDegree = 0 := by simp [eraseLead_coeff] #align polynomial.erase_lead_coeff_nat_degree Polynomial.eraseLead_coeff_natDegree theorem eraseLead_coeff_of_ne (i : ℕ) (hi : i ≠ f.natDegree) : f.eraseLead.coeff i = f.coeff i := by simp [eraseLead_coeff, hi] #align polynomial.erase_lead_coeff_of_ne Polynomial.eraseLead_coeff_of_ne @[simp] theorem eraseLead_zero : eraseLead (0 : R[X]) = 0 := by simp only [eraseLead, erase_zero] #align polynomial.erase_lead_zero Polynomial.eraseLead_zero @[simp] theorem eraseLead_add_monomial_natDegree_leadingCoeff (f : R[X]) : f.eraseLead + monomial f.natDegree f.leadingCoeff = f := (add_comm _ _).trans (f.monomial_add_erase _) #align polynomial.erase_lead_add_monomial_nat_degree_leading_coeff Polynomial.eraseLead_add_monomial_natDegree_leadingCoeff @[simp] theorem eraseLead_add_C_mul_X_pow (f : R[X]) : f.eraseLead + C f.leadingCoeff * X ^ f.natDegree = f := by rw [C_mul_X_pow_eq_monomial, eraseLead_add_monomial_natDegree_leadingCoeff] set_option linter.uppercaseLean3 false in #align polynomial.erase_lead_add_C_mul_X_pow Polynomial.eraseLead_add_C_mul_X_pow @[simp] theorem self_sub_monomial_natDegree_leadingCoeff {R : Type*} [Ring R] (f : R[X]) : f - monomial f.natDegree f.leadingCoeff = f.eraseLead := (eq_sub_iff_add_eq.mpr (eraseLead_add_monomial_natDegree_leadingCoeff f)).symm #align polynomial.self_sub_monomial_nat_degree_leading_coeff Polynomial.self_sub_monomial_natDegree_leadingCoeff @[simp] theorem self_sub_C_mul_X_pow {R : Type*} [Ring R] (f : R[X]) : f - C f.leadingCoeff * X ^ f.natDegree = f.eraseLead := by rw [C_mul_X_pow_eq_monomial, self_sub_monomial_natDegree_leadingCoeff] set_option linter.uppercaseLean3 false in #align polynomial.self_sub_C_mul_X_pow Polynomial.self_sub_C_mul_X_pow theorem eraseLead_ne_zero (f0 : 2 ≤ f.support.card) : eraseLead f ≠ 0 := by rw [Ne, ← card_support_eq_zero, eraseLead_support] exact (zero_lt_one.trans_le <| (tsub_le_tsub_right f0 1).trans Finset.pred_card_le_card_erase).ne.symm #align polynomial.erase_lead_ne_zero Polynomial.eraseLead_ne_zero theorem lt_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) : a < f.natDegree := by rw [eraseLead_support, mem_erase] at h exact (le_natDegree_of_mem_supp a h.2).lt_of_ne h.1 #align polynomial.lt_nat_degree_of_mem_erase_lead_support Polynomial.lt_natDegree_of_mem_eraseLead_support theorem ne_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) : a ≠ f.natDegree := (lt_natDegree_of_mem_eraseLead_support h).ne #align polynomial.ne_nat_degree_of_mem_erase_lead_support Polynomial.ne_natDegree_of_mem_eraseLead_support theorem natDegree_not_mem_eraseLead_support : f.natDegree ∉ (eraseLead f).support := fun h => ne_natDegree_of_mem_eraseLead_support h rfl #align polynomial.nat_degree_not_mem_erase_lead_support Polynomial.natDegree_not_mem_eraseLead_support theorem eraseLead_support_card_lt (h : f ≠ 0) : (eraseLead f).support.card < f.support.card := by rw [eraseLead_support] exact card_lt_card (erase_ssubset <| natDegree_mem_support_of_nonzero h) #align polynomial.erase_lead_support_card_lt Polynomial.eraseLead_support_card_lt theorem card_support_eraseLead_add_one (h : f ≠ 0) : f.eraseLead.support.card + 1 = f.support.card := by set c := f.support.card with hc cases h₁ : c case zero => by_contra exact h (card_support_eq_zero.mp h₁) case succ => rw [eraseLead_support, card_erase_of_mem (natDegree_mem_support_of_nonzero h), ← hc, h₁] rfl @[simp] theorem card_support_eraseLead : f.eraseLead.support.card = f.support.card - 1 := by by_cases hf : f = 0 · rw [hf, eraseLead_zero, support_zero, card_empty] · rw [← card_support_eraseLead_add_one hf, add_tsub_cancel_right] theorem card_support_eraseLead' {c : ℕ} (fc : f.support.card = c + 1) : f.eraseLead.support.card = c := by rw [card_support_eraseLead, fc, add_tsub_cancel_right] #align polynomial.erase_lead_card_support' Polynomial.card_support_eraseLead' theorem card_support_eq_one_of_eraseLead_eq_zero (h₀ : f ≠ 0) (h₁ : f.eraseLead = 0) : f.support.card = 1 := (card_support_eq_zero.mpr h₁ ▸ card_support_eraseLead_add_one h₀).symm theorem card_support_le_one_of_eraseLead_eq_zero (h : f.eraseLead = 0) : f.support.card ≤ 1 := by by_cases hpz : f = 0 case pos => simp [hpz] case neg => exact le_of_eq (card_support_eq_one_of_eraseLead_eq_zero hpz h) @[simp] theorem eraseLead_monomial (i : ℕ) (r : R) : eraseLead (monomial i r) = 0 := by classical by_cases hr : r = 0 · subst r simp only [monomial_zero_right, eraseLead_zero] · rw [eraseLead, natDegree_monomial, if_neg hr, erase_monomial] #align polynomial.erase_lead_monomial Polynomial.eraseLead_monomial @[simp] theorem eraseLead_C (r : R) : eraseLead (C r) = 0 := eraseLead_monomial _ _ set_option linter.uppercaseLean3 false in #align polynomial.erase_lead_C Polynomial.eraseLead_C @[simp] theorem eraseLead_X : eraseLead (X : R[X]) = 0 := eraseLead_monomial _ _ set_option linter.uppercaseLean3 false in #align polynomial.erase_lead_X Polynomial.eraseLead_X @[simp] theorem eraseLead_X_pow (n : ℕ) : eraseLead (X ^ n : R[X]) = 0 := by rw [X_pow_eq_monomial, eraseLead_monomial] set_option linter.uppercaseLean3 false in #align polynomial.erase_lead_X_pow Polynomial.eraseLead_X_pow @[simp] theorem eraseLead_C_mul_X_pow (r : R) (n : ℕ) : eraseLead (C r * X ^ n) = 0 := by rw [C_mul_X_pow_eq_monomial, eraseLead_monomial] set_option linter.uppercaseLean3 false in #align polynomial.erase_lead_C_mul_X_pow Polynomial.eraseLead_C_mul_X_pow @[simp] lemma eraseLead_C_mul_X (r : R) : eraseLead (C r * X) = 0 := by simpa using eraseLead_C_mul_X_pow _ 1 theorem eraseLead_add_of_natDegree_lt_left {p q : R[X]} (pq : q.natDegree < p.natDegree) : (p + q).eraseLead = p.eraseLead + q := by ext n by_cases nd : n = p.natDegree · rw [nd, eraseLead_coeff, if_pos (natDegree_add_eq_left_of_natDegree_lt pq).symm] simpa using (coeff_eq_zero_of_natDegree_lt pq).symm · rw [eraseLead_coeff, coeff_add, coeff_add, eraseLead_coeff, if_neg, if_neg nd] rintro rfl exact nd (natDegree_add_eq_left_of_natDegree_lt pq) #align polynomial.erase_lead_add_of_nat_degree_lt_left Polynomial.eraseLead_add_of_natDegree_lt_left theorem eraseLead_add_of_natDegree_lt_right {p q : R[X]} (pq : p.natDegree < q.natDegree) : (p + q).eraseLead = p + q.eraseLead := by ext n by_cases nd : n = q.natDegree · rw [nd, eraseLead_coeff, if_pos (natDegree_add_eq_right_of_natDegree_lt pq).symm] simpa using (coeff_eq_zero_of_natDegree_lt pq).symm · rw [eraseLead_coeff, coeff_add, coeff_add, eraseLead_coeff, if_neg, if_neg nd] rintro rfl exact nd (natDegree_add_eq_right_of_natDegree_lt pq) #align polynomial.erase_lead_add_of_nat_degree_lt_right Polynomial.eraseLead_add_of_natDegree_lt_right theorem eraseLead_degree_le : (eraseLead f).degree ≤ f.degree := f.degree_erase_le _ #align polynomial.erase_lead_degree_le Polynomial.eraseLead_degree_le theorem eraseLead_natDegree_le_aux : (eraseLead f).natDegree ≤ f.natDegree := natDegree_le_natDegree eraseLead_degree_le #align polynomial.erase_lead_nat_degree_le_aux Polynomial.eraseLead_natDegree_le_aux theorem eraseLead_natDegree_lt (f0 : 2 ≤ f.support.card) : (eraseLead f).natDegree < f.natDegree := lt_of_le_of_ne eraseLead_natDegree_le_aux <| ne_natDegree_of_mem_eraseLead_support <| natDegree_mem_support_of_nonzero <| eraseLead_ne_zero f0 #align polynomial.erase_lead_nat_degree_lt Polynomial.eraseLead_natDegree_lt theorem natDegree_pos_of_eraseLead_ne_zero (h : f.eraseLead ≠ 0) : 0 < f.natDegree := by by_contra h₂ rw [eq_C_of_natDegree_eq_zero (Nat.eq_zero_of_not_pos h₂)] at h simp at h
Mathlib/Algebra/Polynomial/EraseLead.lean
223
230
theorem eraseLead_natDegree_lt_or_eraseLead_eq_zero (f : R[X]) : (eraseLead f).natDegree < f.natDegree ∨ f.eraseLead = 0 := by
by_cases h : f.support.card ≤ 1 · right rw [← C_mul_X_pow_eq_self h] simp · left apply eraseLead_natDegree_lt (lt_of_not_ge h)
import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ] #align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α) (h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy => Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy) #align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s) (hx : x ∈ s) : LowerSemicontinuousWithinAt f s x := h x hx #align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) : LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst #align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff] #align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) : LowerSemicontinuousAt f x := h x #align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α) (x : α) : LowerSemicontinuousWithinAt f s x := (h x).lowerSemicontinuousWithinAt s #align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) : LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x #align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_at_const lowerSemicontinuousAt_const theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx => lowerSemicontinuousWithinAt_const #align lower_semicontinuous_on_const lowerSemicontinuousOn_const theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x => lowerSemicontinuousAt_const #align lower_semicontinuous_const lowerSemicontinuous_const section variable [Zero β] theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuous (indicator s fun _x => y) := by intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · filter_upwards [hs.mem_nhds h] simp (config := { contextual := true }) [hz] · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz] #align is_open.lower_semicontinuous_indicator IsOpen.lowerSemicontinuous_indicator theorem IsOpen.lowerSemicontinuousOn_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousOn (indicator s fun _x => y) t := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t #align is_open.lower_semicontinuous_on_indicator IsOpen.lowerSemicontinuousOn_indicator theorem IsOpen.lowerSemicontinuousAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousAt (indicator s fun _x => y) x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x #align is_open.lower_semicontinuous_at_indicator IsOpen.lowerSemicontinuousAt_indicator theorem IsOpen.lowerSemicontinuousWithinAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousWithinAt (indicator s fun _x => y) t x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x #align is_open.lower_semicontinuous_within_at_indicator IsOpen.lowerSemicontinuousWithinAt_indicator theorem IsClosed.lowerSemicontinuous_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuous (indicator s fun _x => y) := by intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz, hz.trans_le hy] · filter_upwards [hs.isOpen_compl.mem_nhds h] simp (config := { contextual := true }) [hz] #align is_closed.lower_semicontinuous_indicator IsClosed.lowerSemicontinuous_indicator theorem IsClosed.lowerSemicontinuousOn_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousOn (indicator s fun _x => y) t := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t #align is_closed.lower_semicontinuous_on_indicator IsClosed.lowerSemicontinuousOn_indicator theorem IsClosed.lowerSemicontinuousAt_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousAt (indicator s fun _x => y) x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x #align is_closed.lower_semicontinuous_at_indicator IsClosed.lowerSemicontinuousAt_indicator theorem IsClosed.lowerSemicontinuousWithinAt_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousWithinAt (indicator s fun _x => y) t x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x #align is_closed.lower_semicontinuous_within_at_indicator IsClosed.lowerSemicontinuousWithinAt_indicator end theorem lowerSemicontinuous_iff_isOpen_preimage : LowerSemicontinuous f ↔ ∀ y, IsOpen (f ⁻¹' Ioi y) := ⟨fun H y => isOpen_iff_mem_nhds.2 fun x hx => H x y hx, fun H _x y y_lt => IsOpen.mem_nhds (H y) y_lt⟩ #align lower_semicontinuous_iff_is_open_preimage lowerSemicontinuous_iff_isOpen_preimage theorem LowerSemicontinuous.isOpen_preimage (hf : LowerSemicontinuous f) (y : β) : IsOpen (f ⁻¹' Ioi y) := lowerSemicontinuous_iff_isOpen_preimage.1 hf y #align lower_semicontinuous.is_open_preimage LowerSemicontinuous.isOpen_preimage section variable {γ : Type*} [LinearOrder γ] theorem lowerSemicontinuous_iff_isClosed_preimage {f : α → γ} : LowerSemicontinuous f ↔ ∀ y, IsClosed (f ⁻¹' Iic y) := by rw [lowerSemicontinuous_iff_isOpen_preimage] simp only [← isOpen_compl_iff, ← preimage_compl, compl_Iic] #align lower_semicontinuous_iff_is_closed_preimage lowerSemicontinuous_iff_isClosed_preimage theorem LowerSemicontinuous.isClosed_preimage {f : α → γ} (hf : LowerSemicontinuous f) (y : γ) : IsClosed (f ⁻¹' Iic y) := lowerSemicontinuous_iff_isClosed_preimage.1 hf y #align lower_semicontinuous.is_closed_preimage LowerSemicontinuous.isClosed_preimage variable [TopologicalSpace γ] [OrderTopology γ] theorem ContinuousWithinAt.lowerSemicontinuousWithinAt {f : α → γ} (h : ContinuousWithinAt f s x) : LowerSemicontinuousWithinAt f s x := fun _y hy => h (Ioi_mem_nhds hy) #align continuous_within_at.lower_semicontinuous_within_at ContinuousWithinAt.lowerSemicontinuousWithinAt theorem ContinuousAt.lowerSemicontinuousAt {f : α → γ} (h : ContinuousAt f x) : LowerSemicontinuousAt f x := fun _y hy => h (Ioi_mem_nhds hy) #align continuous_at.lower_semicontinuous_at ContinuousAt.lowerSemicontinuousAt theorem ContinuousOn.lowerSemicontinuousOn {f : α → γ} (h : ContinuousOn f s) : LowerSemicontinuousOn f s := fun x hx => (h x hx).lowerSemicontinuousWithinAt #align continuous_on.lower_semicontinuous_on ContinuousOn.lowerSemicontinuousOn theorem Continuous.lowerSemicontinuous {f : α → γ} (h : Continuous f) : LowerSemicontinuous f := fun _x => h.continuousAt.lowerSemicontinuousAt #align continuous.lower_semicontinuous Continuous.lowerSemicontinuous end section variable {γ : Type*} [CompleteLinearOrder γ] [DenselyOrdered γ] theorem lowerSemicontinuousWithinAt_iff_le_liminf {f : α → γ} : LowerSemicontinuousWithinAt f s x ↔ f x ≤ liminf f (𝓝[s] x) := by constructor · intro hf; unfold LowerSemicontinuousWithinAt at hf contrapose! hf obtain ⟨y, lty, ylt⟩ := exists_between hf; use y exact ⟨ylt, fun h => lty.not_le (le_liminf_of_le (by isBoundedDefault) (h.mono fun _ hx => le_of_lt hx))⟩ exact fun hf y ylt => eventually_lt_of_lt_liminf (ylt.trans_le hf) alias ⟨LowerSemicontinuousWithinAt.le_liminf, _⟩ := lowerSemicontinuousWithinAt_iff_le_liminf theorem lowerSemicontinuousAt_iff_le_liminf {f : α → γ} : LowerSemicontinuousAt f x ↔ f x ≤ liminf f (𝓝 x) := by rw [← lowerSemicontinuousWithinAt_univ_iff, lowerSemicontinuousWithinAt_iff_le_liminf, ← nhdsWithin_univ] alias ⟨LowerSemicontinuousAt.le_liminf, _⟩ := lowerSemicontinuousAt_iff_le_liminf theorem lowerSemicontinuous_iff_le_liminf {f : α → γ} : LowerSemicontinuous f ↔ ∀ x, f x ≤ liminf f (𝓝 x) := by simp only [← lowerSemicontinuousAt_iff_le_liminf, LowerSemicontinuous] alias ⟨LowerSemicontinuous.le_liminf, _⟩ := lowerSemicontinuous_iff_le_liminf
Mathlib/Topology/Semicontinuous.lean
345
347
theorem lowerSemicontinuousOn_iff_le_liminf {f : α → γ} : LowerSemicontinuousOn f s ↔ ∀ x ∈ s, f x ≤ liminf f (𝓝[s] x) := by
simp only [← lowerSemicontinuousWithinAt_iff_le_liminf, LowerSemicontinuousOn]
import Mathlib.Logic.Relation import Mathlib.Order.GaloisConnection #align_import data.setoid.basic from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" variable {α : Type*} {β : Type*} def Setoid.Rel (r : Setoid α) : α → α → Prop := @Setoid.r _ r #align setoid.rel Setoid.Rel instance Setoid.decidableRel (r : Setoid α) [h : DecidableRel r.r] : DecidableRel r.Rel := h #align setoid.decidable_rel Setoid.decidableRel theorem Quotient.eq_rel {r : Setoid α} {x y} : (Quotient.mk' x : Quotient r) = Quotient.mk' y ↔ r.Rel x y := Quotient.eq #align quotient.eq_rel Quotient.eq_rel namespace Setoid @[ext] theorem ext' {r s : Setoid α} (H : ∀ a b, r.Rel a b ↔ s.Rel a b) : r = s := ext H #align setoid.ext' Setoid.ext' theorem ext_iff {r s : Setoid α} : r = s ↔ ∀ a b, r.Rel a b ↔ s.Rel a b := ⟨fun h _ _ => h ▸ Iff.rfl, ext'⟩ #align setoid.ext_iff Setoid.ext_iff theorem eq_iff_rel_eq {r₁ r₂ : Setoid α} : r₁ = r₂ ↔ r₁.Rel = r₂.Rel := ⟨fun h => h ▸ rfl, fun h => Setoid.ext' fun _ _ => h ▸ Iff.rfl⟩ #align setoid.eq_iff_rel_eq Setoid.eq_iff_rel_eq instance : LE (Setoid α) := ⟨fun r s => ∀ ⦃x y⦄, r.Rel x y → s.Rel x y⟩ theorem le_def {r s : Setoid α} : r ≤ s ↔ ∀ {x y}, r.Rel x y → s.Rel x y := Iff.rfl #align setoid.le_def Setoid.le_def @[refl] theorem refl' (r : Setoid α) (x) : r.Rel x x := r.iseqv.refl x #align setoid.refl' Setoid.refl' @[symm] theorem symm' (r : Setoid α) : ∀ {x y}, r.Rel x y → r.Rel y x := r.iseqv.symm #align setoid.symm' Setoid.symm' @[trans] theorem trans' (r : Setoid α) : ∀ {x y z}, r.Rel x y → r.Rel y z → r.Rel x z := r.iseqv.trans #align setoid.trans' Setoid.trans' theorem comm' (s : Setoid α) {x y} : s.Rel x y ↔ s.Rel y x := ⟨s.symm', s.symm'⟩ #align setoid.comm' Setoid.comm' def ker (f : α → β) : Setoid α := ⟨(· = ·) on f, eq_equivalence.comap f⟩ #align setoid.ker Setoid.ker @[simp] theorem ker_mk_eq (r : Setoid α) : ker (@Quotient.mk'' _ r) = r := ext' fun _ _ => Quotient.eq #align setoid.ker_mk_eq Setoid.ker_mk_eq theorem ker_apply_mk_out {f : α → β} (a : α) : f (haveI := Setoid.ker f; ⟦a⟧.out) = f a := @Quotient.mk_out _ (Setoid.ker f) a #align setoid.ker_apply_mk_out Setoid.ker_apply_mk_out theorem ker_apply_mk_out' {f : α → β} (a : α) : f (Quotient.mk _ a : Quotient <| Setoid.ker f).out' = f a := @Quotient.mk_out' _ (Setoid.ker f) a #align setoid.ker_apply_mk_out' Setoid.ker_apply_mk_out' theorem ker_def {f : α → β} {x y : α} : (ker f).Rel x y ↔ f x = f y := Iff.rfl #align setoid.ker_def Setoid.ker_def protected def prod (r : Setoid α) (s : Setoid β) : Setoid (α × β) where r x y := r.Rel x.1 y.1 ∧ s.Rel x.2 y.2 iseqv := ⟨fun x => ⟨r.refl' x.1, s.refl' x.2⟩, fun h => ⟨r.symm' h.1, s.symm' h.2⟩, fun h₁ h₂ => ⟨r.trans' h₁.1 h₂.1, s.trans' h₁.2 h₂.2⟩⟩ #align setoid.prod Setoid.prod instance : Inf (Setoid α) := ⟨fun r s => ⟨fun x y => r.Rel x y ∧ s.Rel x y, ⟨fun x => ⟨r.refl' x, s.refl' x⟩, fun h => ⟨r.symm' h.1, s.symm' h.2⟩, fun h1 h2 => ⟨r.trans' h1.1 h2.1, s.trans' h1.2 h2.2⟩⟩⟩⟩ theorem inf_def {r s : Setoid α} : (r ⊓ s).Rel = r.Rel ⊓ s.Rel := rfl #align setoid.inf_def Setoid.inf_def theorem inf_iff_and {r s : Setoid α} {x y} : (r ⊓ s).Rel x y ↔ r.Rel x y ∧ s.Rel x y := Iff.rfl #align setoid.inf_iff_and Setoid.inf_iff_and instance : InfSet (Setoid α) := ⟨fun S => { r := fun x y => ∀ r ∈ S, r.Rel x y iseqv := ⟨fun x r _ => r.refl' x, fun h r hr => r.symm' <| h r hr, fun h1 h2 r hr => r.trans' (h1 r hr) <| h2 r hr⟩ }⟩ theorem sInf_def {s : Set (Setoid α)} : (sInf s).Rel = sInf (Rel '' s) := by ext simp only [sInf_image, iInf_apply, iInf_Prop_eq] rfl #align setoid.Inf_def Setoid.sInf_def instance : PartialOrder (Setoid α) where le := (· ≤ ·) lt r s := r ≤ s ∧ ¬s ≤ r le_refl _ _ _ := id le_trans _ _ _ hr hs _ _ h := hs <| hr h lt_iff_le_not_le _ _ := Iff.rfl le_antisymm _ _ h1 h2 := Setoid.ext' fun _ _ => ⟨fun h => h1 h, fun h => h2 h⟩ instance completeLattice : CompleteLattice (Setoid α) := { (completeLatticeOfInf (Setoid α)) fun _ => ⟨fun _ hr _ _ h => h _ hr, fun _ hr _ _ h _ hr' => hr hr' h⟩ with inf := Inf.inf inf_le_left := fun _ _ _ _ h => h.1 inf_le_right := fun _ _ _ _ h => h.2 le_inf := fun _ _ _ h1 h2 _ _ h => ⟨h1 h, h2 h⟩ top := ⟨fun _ _ => True, ⟨fun _ => trivial, fun h => h, fun h1 _ => h1⟩⟩ le_top := fun _ _ _ _ => trivial bot := ⟨(· = ·), ⟨fun _ => rfl, fun h => h.symm, fun h1 h2 => h1.trans h2⟩⟩ bot_le := fun r x _ h => h ▸ r.2.1 x } #align setoid.complete_lattice Setoid.completeLattice @[simp] theorem top_def : (⊤ : Setoid α).Rel = ⊤ := rfl #align setoid.top_def Setoid.top_def @[simp] theorem bot_def : (⊥ : Setoid α).Rel = (· = ·) := rfl #align setoid.bot_def Setoid.bot_def theorem eq_top_iff {s : Setoid α} : s = (⊤ : Setoid α) ↔ ∀ x y : α, s.Rel x y := by rw [_root_.eq_top_iff, Setoid.le_def, Setoid.top_def] simp only [Pi.top_apply, Prop.top_eq_true, forall_true_left] #align setoid.eq_top_iff Setoid.eq_top_iff lemma sInf_equiv {S : Set (Setoid α)} {x y : α} : letI := sInf S x ≈ y ↔ ∀ s ∈ S, s.Rel x y := Iff.rfl lemma quotient_mk_sInf_eq {S : Set (Setoid α)} {x y : α} : Quotient.mk (sInf S) x = Quotient.mk (sInf S) y ↔ ∀ s ∈ S, s.Rel x y := by simp rfl def map_of_le {s t : Setoid α} (h : s ≤ t) : Quotient s → Quotient t := Quotient.map' id h def map_sInf {S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Quotient (sInf S) → Quotient s := Setoid.map_of_le fun _ _ a ↦ a s h theorem eqvGen_eq (r : α → α → Prop) : EqvGen.Setoid r = sInf { s : Setoid α | ∀ ⦃x y⦄, r x y → s.Rel x y } := le_antisymm (fun _ _ H => EqvGen.rec (fun _ _ h _ hs => hs h) (refl' _) (fun _ _ _ => symm' _) (fun _ _ _ _ _ => trans' _) H) (sInf_le fun _ _ h => EqvGen.rel _ _ h) #align setoid.eqv_gen_eq Setoid.eqvGen_eq
Mathlib/Data/Setoid/Basic.lean
231
235
theorem sup_eq_eqvGen (r s : Setoid α) : r ⊔ s = EqvGen.Setoid fun x y => r.Rel x y ∨ s.Rel x y := by
rw [eqvGen_eq] apply congr_arg sInf simp only [le_def, or_imp, ← forall_and]
import Mathlib.Data.Nat.Totient import Mathlib.Data.Nat.Nth import Mathlib.NumberTheory.SmoothNumbers #align_import number_theory.prime_counting from "leanprover-community/mathlib"@"7fdd4f3746cb059edfdb5d52cba98f66fce418c0" namespace Nat open Finset def primeCounting' : ℕ → ℕ := Nat.count Prime #align nat.prime_counting' Nat.primeCounting' def primeCounting (n : ℕ) : ℕ := primeCounting' (n + 1) #align nat.prime_counting Nat.primeCounting @[inherit_doc] scoped notation "π" => Nat.primeCounting @[inherit_doc] scoped notation "π'" => Nat.primeCounting' theorem monotone_primeCounting' : Monotone primeCounting' := count_monotone Prime #align nat.monotone_prime_counting' Nat.monotone_primeCounting' theorem monotone_primeCounting : Monotone primeCounting := monotone_primeCounting'.comp (monotone_id.add_const _) #align nat.monotone_prime_counting Nat.monotone_primeCounting @[simp] theorem primeCounting'_nth_eq (n : ℕ) : π' (nth Prime n) = n := count_nth_of_infinite infinite_setOf_prime _ #align nat.prime_counting'_nth_eq Nat.primeCounting'_nth_eq @[simp] theorem prime_nth_prime (n : ℕ) : Prime (nth Prime n) := nth_mem_of_infinite infinite_setOf_prime _ #align nat.prime_nth_prime Nat.prime_nth_prime lemma primesBelow_card_eq_primeCounting' (n : ℕ) : n.primesBelow.card = primeCounting' n := by simp only [primesBelow, primeCounting'] exact (count_eq_card_filter_range Prime n).symm
Mathlib/NumberTheory/PrimeCounting.lean
83
102
theorem primeCounting'_add_le {a k : ℕ} (h0 : 0 < a) (h1 : a < k) (n : ℕ) : π' (k + n) ≤ π' k + Nat.totient a * (n / a + 1) := calc π' (k + n) ≤ ((range k).filter Prime).card + ((Ico k (k + n)).filter Prime).card := by
rw [primeCounting', count_eq_card_filter_range, range_eq_Ico, ← Ico_union_Ico_eq_Ico (zero_le k) le_self_add, filter_union] apply card_union_le _ ≤ π' k + ((Ico k (k + n)).filter Prime).card := by rw [primeCounting', count_eq_card_filter_range] _ ≤ π' k + ((Ico k (k + n)).filter (Coprime a)).card := by refine add_le_add_left (card_le_card ?_) k.primeCounting' simp only [subset_iff, and_imp, mem_filter, mem_Ico] intro p succ_k_le_p p_lt_n p_prime constructor · exact ⟨succ_k_le_p, p_lt_n⟩ · rw [coprime_comm] exact coprime_of_lt_prime h0 (gt_of_ge_of_gt succ_k_le_p h1) p_prime _ ≤ π' k + totient a * (n / a + 1) := by rw [add_le_add_iff_left] exact Ico_filter_coprime_le k n h0
import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Data.Set.MulAntidiagonal #align_import data.finset.mul_antidiagonal from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" namespace Finset open Pointwise variable {α : Type*} variable [OrderedCancelCommMonoid α] {s t : Set α} (hs : s.IsPWO) (ht : t.IsPWO) (a : α) @[to_additive "`Finset.addAntidiagonal hs ht a` is the set of all pairs of an element in `s` and an element in `t` that add to `a`, but its construction requires proofs that `s` and `t` are well-ordered."] noncomputable def mulAntidiagonal : Finset (α × α) := (Set.MulAntidiagonal.finite_of_isPWO hs ht a).toFinset #align finset.mul_antidiagonal Finset.mulAntidiagonal #align finset.add_antidiagonal Finset.addAntidiagonal variable {hs ht a} {u : Set α} {hu : u.IsPWO} {x : α × α} @[to_additive (attr := simp)]
Mathlib/Data/Finset/MulAntidiagonal.lean
72
73
theorem mem_mulAntidiagonal : x ∈ mulAntidiagonal hs ht a ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ x.1 * x.2 = a := by
simp only [mulAntidiagonal, Set.Finite.mem_toFinset, Set.mem_mulAntidiagonal]
import Mathlib.Order.Filter.Bases #align_import order.filter.pi from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Set Function open scoped Classical open Filter namespace Filter variable {ι : Type*} {α : ι → Type*} {f f₁ f₂ : (i : ι) → Filter (α i)} {s : (i : ι) → Set (α i)} {p : ∀ i, α i → Prop} section Pi def pi (f : ∀ i, Filter (α i)) : Filter (∀ i, α i) := ⨅ i, comap (eval i) (f i) #align filter.pi Filter.pi instance pi.isCountablyGenerated [Countable ι] [∀ i, IsCountablyGenerated (f i)] : IsCountablyGenerated (pi f) := iInf.isCountablyGenerated _ #align filter.pi.is_countably_generated Filter.pi.isCountablyGenerated theorem tendsto_eval_pi (f : ∀ i, Filter (α i)) (i : ι) : Tendsto (eval i) (pi f) (f i) := tendsto_iInf' i tendsto_comap #align filter.tendsto_eval_pi Filter.tendsto_eval_pi theorem tendsto_pi {β : Type*} {m : β → ∀ i, α i} {l : Filter β} : Tendsto m l (pi f) ↔ ∀ i, Tendsto (fun x => m x i) l (f i) := by simp only [pi, tendsto_iInf, tendsto_comap_iff]; rfl #align filter.tendsto_pi Filter.tendsto_pi alias ⟨Tendsto.apply, _⟩ := tendsto_pi theorem le_pi {g : Filter (∀ i, α i)} : g ≤ pi f ↔ ∀ i, Tendsto (eval i) g (f i) := tendsto_pi #align filter.le_pi Filter.le_pi @[mono] theorem pi_mono (h : ∀ i, f₁ i ≤ f₂ i) : pi f₁ ≤ pi f₂ := iInf_mono fun i => comap_mono <| h i #align filter.pi_mono Filter.pi_mono theorem mem_pi_of_mem (i : ι) {s : Set (α i)} (hs : s ∈ f i) : eval i ⁻¹' s ∈ pi f := mem_iInf_of_mem i <| preimage_mem_comap hs #align filter.mem_pi_of_mem Filter.mem_pi_of_mem theorem pi_mem_pi {I : Set ι} (hI : I.Finite) (h : ∀ i ∈ I, s i ∈ f i) : I.pi s ∈ pi f := by rw [pi_def, biInter_eq_iInter] refine mem_iInf_of_iInter hI (fun i => ?_) Subset.rfl exact preimage_mem_comap (h i i.2) #align filter.pi_mem_pi Filter.pi_mem_pi theorem mem_pi {s : Set (∀ i, α i)} : s ∈ pi f ↔ ∃ I : Set ι, I.Finite ∧ ∃ t : ∀ i, Set (α i), (∀ i, t i ∈ f i) ∧ I.pi t ⊆ s := by constructor · simp only [pi, mem_iInf', mem_comap, pi_def] rintro ⟨I, If, V, hVf, -, rfl, -⟩ choose t htf htV using hVf exact ⟨I, If, t, htf, iInter₂_mono fun i _ => htV i⟩ · rintro ⟨I, If, t, htf, hts⟩ exact mem_of_superset (pi_mem_pi If fun i _ => htf i) hts #align filter.mem_pi Filter.mem_pi theorem mem_pi' {s : Set (∀ i, α i)} : s ∈ pi f ↔ ∃ I : Finset ι, ∃ t : ∀ i, Set (α i), (∀ i, t i ∈ f i) ∧ Set.pi (↑I) t ⊆ s := mem_pi.trans exists_finite_iff_finset #align filter.mem_pi' Filter.mem_pi' theorem mem_of_pi_mem_pi [∀ i, NeBot (f i)] {I : Set ι} (h : I.pi s ∈ pi f) {i : ι} (hi : i ∈ I) : s i ∈ f i := by rcases mem_pi.1 h with ⟨I', -, t, htf, hts⟩ refine mem_of_superset (htf i) fun x hx => ?_ have : ∀ i, (t i).Nonempty := fun i => nonempty_of_mem (htf i) choose g hg using this have : update g i x ∈ I'.pi t := fun j _ => by rcases eq_or_ne j i with (rfl | hne) <;> simp [*] simpa using hts this i hi #align filter.mem_of_pi_mem_pi Filter.mem_of_pi_mem_pi @[simp] theorem pi_mem_pi_iff [∀ i, NeBot (f i)] {I : Set ι} (hI : I.Finite) : I.pi s ∈ pi f ↔ ∀ i ∈ I, s i ∈ f i := ⟨fun h _i hi => mem_of_pi_mem_pi h hi, pi_mem_pi hI⟩ #align filter.pi_mem_pi_iff Filter.pi_mem_pi_iff theorem Eventually.eval_pi {i : ι} (hf : ∀ᶠ x : α i in f i, p i x) : ∀ᶠ x : ∀ i : ι, α i in pi f, p i (x i) := (tendsto_eval_pi _ _).eventually hf #align filter.eventually.eval_pi Filter.Eventually.eval_pi theorem eventually_pi [Finite ι] (hf : ∀ i, ∀ᶠ x in f i, p i x) : ∀ᶠ x : ∀ i, α i in pi f, ∀ i, p i (x i) := eventually_all.2 fun _i => (hf _).eval_pi #align filter.eventually_pi Filter.eventually_pi theorem hasBasis_pi {ι' : ι → Type} {s : ∀ i, ι' i → Set (α i)} {p : ∀ i, ι' i → Prop} (h : ∀ i, (f i).HasBasis (p i) (s i)) : (pi f).HasBasis (fun If : Set ι × ∀ i, ι' i => If.1.Finite ∧ ∀ i ∈ If.1, p i (If.2 i)) fun If : Set ι × ∀ i, ι' i => If.1.pi fun i => s i <| If.2 i := by simpa [Set.pi_def] using hasBasis_iInf' fun i => (h i).comap (eval i : (∀ j, α j) → α i) #align filter.has_basis_pi Filter.hasBasis_pi theorem le_pi_principal (s : (i : ι) → Set (α i)) : 𝓟 (univ.pi s) ≤ pi fun i ↦ 𝓟 (s i) := le_pi.2 fun i ↦ tendsto_principal_principal.2 fun _f hf ↦ hf i trivial @[simp]
Mathlib/Order/Filter/Pi.lean
133
135
theorem pi_principal [Finite ι] (s : (i : ι) → Set (α i)) : pi (fun i ↦ 𝓟 (s i)) = 𝓟 (univ.pi s) := by
simp [Filter.pi, Set.pi_def]
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
Mathlib/Analysis/MellinTransform.lean
64
75
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]
import Mathlib.RingTheory.HahnSeries.Multiplication import Mathlib.RingTheory.PowerSeries.Basic import Mathlib.Data.Finsupp.PWO #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical open Pointwise Polynomial noncomputable section variable {Γ : Type*} {R : Type*} namespace HahnSeries section Semiring variable [Semiring R] @[simps] def toPowerSeries : HahnSeries ℕ R ≃+* PowerSeries R where toFun f := PowerSeries.mk f.coeff invFun f := ⟨fun n => PowerSeries.coeff R n f, (Nat.lt_wfRel.wf.isWF _).isPWO⟩ left_inv f := by ext simp right_inv f := by ext simp map_add' f g := by ext simp map_mul' f g := by ext n simp only [PowerSeries.coeff_mul, PowerSeries.coeff_mk, mul_coeff, isPWO_support] classical refine (sum_filter_ne_zero _).symm.trans <| (sum_congr ?_ fun _ _ ↦ rfl).trans <| sum_filter_ne_zero _ ext m simp only [mem_antidiagonal, mem_addAntidiagonal, and_congr_left_iff, mem_filter, mem_support] rintro h rw [and_iff_right (left_ne_zero_of_mul h), and_iff_right (right_ne_zero_of_mul h)] #align hahn_series.to_power_series HahnSeries.toPowerSeries theorem coeff_toPowerSeries {f : HahnSeries ℕ R} {n : ℕ} : PowerSeries.coeff R n (toPowerSeries f) = f.coeff n := PowerSeries.coeff_mk _ _ #align hahn_series.coeff_to_power_series HahnSeries.coeff_toPowerSeries theorem coeff_toPowerSeries_symm {f : PowerSeries R} {n : ℕ} : (HahnSeries.toPowerSeries.symm f).coeff n = PowerSeries.coeff R n f := rfl #align hahn_series.coeff_to_power_series_symm HahnSeries.coeff_toPowerSeries_symm variable (Γ R) [StrictOrderedSemiring Γ] def ofPowerSeries : PowerSeries R →+* HahnSeries Γ R := (HahnSeries.embDomainRingHom (Nat.castAddMonoidHom Γ) Nat.strictMono_cast.injective fun _ _ => Nat.cast_le).comp (RingEquiv.toRingHom toPowerSeries.symm) #align hahn_series.of_power_series HahnSeries.ofPowerSeries variable {Γ} {R} theorem ofPowerSeries_injective : Function.Injective (ofPowerSeries Γ R) := embDomain_injective.comp toPowerSeries.symm.injective #align hahn_series.of_power_series_injective HahnSeries.ofPowerSeries_injective theorem ofPowerSeries_apply (x : PowerSeries R) : ofPowerSeries Γ R x = HahnSeries.embDomain ⟨⟨((↑) : ℕ → Γ), Nat.strictMono_cast.injective⟩, by simp only [Function.Embedding.coeFn_mk] exact Nat.cast_le⟩ (toPowerSeries.symm x) := rfl #align hahn_series.of_power_series_apply HahnSeries.ofPowerSeries_apply theorem ofPowerSeries_apply_coeff (x : PowerSeries R) (n : ℕ) : (ofPowerSeries Γ R x).coeff n = PowerSeries.coeff R n x := by simp [ofPowerSeries_apply] #align hahn_series.of_power_series_apply_coeff HahnSeries.ofPowerSeries_apply_coeff @[simp] theorem ofPowerSeries_C (r : R) : ofPowerSeries Γ R (PowerSeries.C R r) = HahnSeries.C r := by ext n simp only [ofPowerSeries_apply, C, RingHom.coe_mk, MonoidHom.coe_mk, OneHom.coe_mk, ne_eq, single_coeff] split_ifs with hn · subst hn convert @embDomain_coeff ℕ R _ _ Γ _ _ _ 0 <;> simp · rw [embDomain_notin_image_support] simp only [not_exists, Set.mem_image, toPowerSeries_symm_apply_coeff, mem_support, PowerSeries.coeff_C] intro simp (config := { contextual := true }) [Ne.symm hn] #align hahn_series.of_power_series_C HahnSeries.ofPowerSeries_C @[simp]
Mathlib/RingTheory/HahnSeries/PowerSeries.lean
132
142
theorem ofPowerSeries_X : ofPowerSeries Γ R PowerSeries.X = single 1 1 := by
ext n simp only [single_coeff, ofPowerSeries_apply, RingHom.coe_mk] split_ifs with hn · rw [hn] convert @embDomain_coeff ℕ R _ _ Γ _ _ _ 1 <;> simp · rw [embDomain_notin_image_support] simp only [not_exists, Set.mem_image, toPowerSeries_symm_apply_coeff, mem_support, PowerSeries.coeff_X] intro simp (config := { contextual := true }) [Ne.symm hn]
import Mathlib.Analysis.Complex.Basic import Mathlib.FieldTheory.IntermediateField import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.UniformRing #align_import topology.instances.complex from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" section ComplexSubfield open Complex Set open ComplexConjugate theorem Complex.subfield_eq_of_closed {K : Subfield ℂ} (hc : IsClosed (K : Set ℂ)) : K = ofReal.fieldRange ∨ K = ⊤ := by suffices range (ofReal' : ℝ → ℂ) ⊆ K by rw [range_subset_iff, ← coe_algebraMap] at this have := (Subalgebra.isSimpleOrder_of_finrank finrank_real_complex).eq_bot_or_eq_top (Subfield.toIntermediateField K this).toSubalgebra simp_rw [← SetLike.coe_set_eq, IntermediateField.coe_toSubalgebra] at this ⊢ exact this suffices range (ofReal' : ℝ → ℂ) ⊆ closure (Set.range ((ofReal' : ℝ → ℂ) ∘ ((↑) : ℚ → ℝ))) by refine subset_trans this ?_ rw [← IsClosed.closure_eq hc] apply closure_mono rintro _ ⟨_, rfl⟩ simp only [Function.comp_apply, ofReal_ratCast, SetLike.mem_coe, SubfieldClass.ratCast_mem] nth_rw 1 [range_comp] refine subset_trans ?_ (image_closure_subset_closure_image continuous_ofReal) rw [DenseRange.closure_range Rat.denseEmbedding_coe_real.dense] simp only [image_univ] rfl #align complex.subfield_eq_of_closed Complex.subfield_eq_of_closed
Mathlib/Topology/Instances/Complex.lean
50
116
theorem Complex.uniformContinuous_ringHom_eq_id_or_conj (K : Subfield ℂ) {ψ : K →+* ℂ} (hc : UniformContinuous ψ) : ψ.toFun = K.subtype ∨ ψ.toFun = conj ∘ K.subtype := by
letI : TopologicalDivisionRing ℂ := TopologicalDivisionRing.mk letI : TopologicalRing K.topologicalClosure := Subring.instTopologicalRing K.topologicalClosure.toSubring set ι : K → K.topologicalClosure := ⇑(Subfield.inclusion K.le_topologicalClosure) have ui : UniformInducing ι := ⟨by erw [uniformity_subtype, uniformity_subtype, Filter.comap_comap] congr ⟩ let di := ui.denseInducing (?_ : DenseRange ι) · -- extψ : closure(K) →+* ℂ is the extension of ψ : K →+* ℂ let extψ := DenseInducing.extendRingHom ui di.dense hc haveI hψ := (uniformContinuous_uniformly_extend ui di.dense hc).continuous cases' Complex.subfield_eq_of_closed (Subfield.isClosed_topologicalClosure K) with h h · left let j := RingEquiv.subfieldCongr h -- ψ₁ is the continuous ring hom `ℝ →+* ℂ` constructed from `j : closure (K) ≃+* ℝ` -- and `extψ : closure (K) →+* ℂ` let ψ₁ := RingHom.comp extψ (RingHom.comp j.symm.toRingHom ofReal.rangeRestrict) -- Porting note: was `by continuity!` and was used inline have hψ₁ : Continuous ψ₁ := by simpa only [RingHom.coe_comp] using hψ.comp ((continuous_algebraMap ℝ ℂ).subtype_mk _) ext1 x rsuffices ⟨r, hr⟩ : ∃ r : ℝ, ofReal.rangeRestrict r = j (ι x) · have := RingHom.congr_fun (ringHom_eq_ofReal_of_continuous hψ₁) r -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [RingHom.comp_apply, RingHom.comp_apply, hr, RingEquiv.toRingHom_eq_coe] at this convert this using 1 · exact (DenseInducing.extend_eq di hc.continuous _).symm · rw [← ofReal.coe_rangeRestrict, hr] rfl obtain ⟨r, hr⟩ := SetLike.coe_mem (j (ι x)) exact ⟨r, Subtype.ext hr⟩ · -- ψ₁ is the continuous ring hom `ℂ →+* ℂ` constructed from `closure (K) ≃+* ℂ` -- and `extψ : closure (K) →+* ℂ` let ψ₁ := RingHom.comp extψ (RingHom.comp (RingEquiv.subfieldCongr h).symm.toRingHom (@Subfield.topEquiv ℂ _).symm.toRingHom) -- Porting note: was `by continuity!` and was used inline have hψ₁ : Continuous ψ₁ := by simpa only [RingHom.coe_comp] using hψ.comp (continuous_id.subtype_mk _) cases' ringHom_eq_id_or_conj_of_continuous hψ₁ with h h · left ext1 z convert RingHom.congr_fun h z using 1 exact (DenseInducing.extend_eq di hc.continuous z).symm · right ext1 z convert RingHom.congr_fun h z using 1 exact (DenseInducing.extend_eq di hc.continuous z).symm · let j : { x // x ∈ closure (id '' { x | (K : Set ℂ) x }) } → (K.topologicalClosure : Set ℂ) := fun x => ⟨x, by convert x.prop simp only [id, Set.image_id'] rfl ⟩ convert DenseRange.comp (Function.Surjective.denseRange _) (DenseEmbedding.subtype denseEmbedding_id (K : Set ℂ)).dense (by continuity : Continuous j) rintro ⟨y, hy⟩ use ⟨y, by convert hy simp only [id, Set.image_id'] rfl ⟩
import Mathlib.Data.Real.Basic import Mathlib.Data.ENNReal.Real import Mathlib.Data.Sign #align_import data.real.ereal from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Function ENNReal NNReal Set noncomputable section def EReal := WithBot (WithTop ℝ) deriving Bot, Zero, One, Nontrivial, AddMonoid, PartialOrder #align ereal EReal instance : ZeroLEOneClass EReal := inferInstanceAs (ZeroLEOneClass (WithBot (WithTop ℝ))) instance : SupSet EReal := inferInstanceAs (SupSet (WithBot (WithTop ℝ))) instance : InfSet EReal := inferInstanceAs (InfSet (WithBot (WithTop ℝ))) instance : CompleteLinearOrder EReal := inferInstanceAs (CompleteLinearOrder (WithBot (WithTop ℝ))) instance : LinearOrderedAddCommMonoid EReal := inferInstanceAs (LinearOrderedAddCommMonoid (WithBot (WithTop ℝ))) instance : AddCommMonoidWithOne EReal := inferInstanceAs (AddCommMonoidWithOne (WithBot (WithTop ℝ))) instance : DenselyOrdered EReal := inferInstanceAs (DenselyOrdered (WithBot (WithTop ℝ))) @[coe] def Real.toEReal : ℝ → EReal := some ∘ some #align real.to_ereal Real.toEReal namespace EReal -- things unify with `WithBot.decidableLT` later if we don't provide this explicitly. instance decidableLT : DecidableRel ((· < ·) : EReal → EReal → Prop) := WithBot.decidableLT #align ereal.decidable_lt EReal.decidableLT -- TODO: Provide explicitly, otherwise it is inferred noncomputably from `CompleteLinearOrder` instance : Top EReal := ⟨some ⊤⟩ instance : Coe ℝ EReal := ⟨Real.toEReal⟩ theorem coe_strictMono : StrictMono Real.toEReal := WithBot.coe_strictMono.comp WithTop.coe_strictMono #align ereal.coe_strict_mono EReal.coe_strictMono theorem coe_injective : Injective Real.toEReal := coe_strictMono.injective #align ereal.coe_injective EReal.coe_injective @[simp, norm_cast] protected theorem coe_le_coe_iff {x y : ℝ} : (x : EReal) ≤ (y : EReal) ↔ x ≤ y := coe_strictMono.le_iff_le #align ereal.coe_le_coe_iff EReal.coe_le_coe_iff @[simp, norm_cast] protected theorem coe_lt_coe_iff {x y : ℝ} : (x : EReal) < (y : EReal) ↔ x < y := coe_strictMono.lt_iff_lt #align ereal.coe_lt_coe_iff EReal.coe_lt_coe_iff @[simp, norm_cast] protected theorem coe_eq_coe_iff {x y : ℝ} : (x : EReal) = (y : EReal) ↔ x = y := coe_injective.eq_iff #align ereal.coe_eq_coe_iff EReal.coe_eq_coe_iff protected theorem coe_ne_coe_iff {x y : ℝ} : (x : EReal) ≠ (y : EReal) ↔ x ≠ y := coe_injective.ne_iff #align ereal.coe_ne_coe_iff EReal.coe_ne_coe_iff @[coe] def _root_.ENNReal.toEReal : ℝ≥0∞ → EReal | ⊤ => ⊤ | .some x => x.1 #align ennreal.to_ereal ENNReal.toEReal instance hasCoeENNReal : Coe ℝ≥0∞ EReal := ⟨ENNReal.toEReal⟩ #align ereal.has_coe_ennreal EReal.hasCoeENNReal instance : Inhabited EReal := ⟨0⟩ @[simp, norm_cast] theorem coe_zero : ((0 : ℝ) : EReal) = 0 := rfl #align ereal.coe_zero EReal.coe_zero @[simp, norm_cast] theorem coe_one : ((1 : ℝ) : EReal) = 1 := rfl #align ereal.coe_one EReal.coe_one @[elab_as_elim, induction_eliminator, cases_eliminator] protected def rec {C : EReal → Sort*} (h_bot : C ⊥) (h_real : ∀ a : ℝ, C a) (h_top : C ⊤) : ∀ a : EReal, C a | ⊥ => h_bot | (a : ℝ) => h_real a | ⊤ => h_top #align ereal.rec EReal.rec protected def mul : EReal → EReal → EReal | ⊥, ⊥ => ⊤ | ⊥, ⊤ => ⊥ | ⊥, (y : ℝ) => if 0 < y then ⊥ else if y = 0 then 0 else ⊤ | ⊤, ⊥ => ⊥ | ⊤, ⊤ => ⊤ | ⊤, (y : ℝ) => if 0 < y then ⊤ else if y = 0 then 0 else ⊥ | (x : ℝ), ⊤ => if 0 < x then ⊤ else if x = 0 then 0 else ⊥ | (x : ℝ), ⊥ => if 0 < x then ⊥ else if x = 0 then 0 else ⊤ | (x : ℝ), (y : ℝ) => (x * y : ℝ) #align ereal.mul EReal.mul instance : Mul EReal := ⟨EReal.mul⟩ @[simp, norm_cast] theorem coe_mul (x y : ℝ) : (↑(x * y) : EReal) = x * y := rfl #align ereal.coe_mul EReal.coe_mul @[elab_as_elim] theorem induction₂ {P : EReal → EReal → Prop} (top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0) (top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥) (pos_top : ∀ x : ℝ, 0 < x → P x ⊤) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥) (zero_top : P 0 ⊤) (coe_coe : ∀ x y : ℝ, P x y) (zero_bot : P 0 ⊥) (neg_top : ∀ x : ℝ, x < 0 → P x ⊤) (neg_bot : ∀ x : ℝ, x < 0 → P x ⊥) (bot_top : P ⊥ ⊤) (bot_pos : ∀ x : ℝ, 0 < x → P ⊥ x) (bot_zero : P ⊥ 0) (bot_neg : ∀ x : ℝ, x < 0 → P ⊥ x) (bot_bot : P ⊥ ⊥) : ∀ x y, P x y | ⊥, ⊥ => bot_bot | ⊥, (y : ℝ) => by rcases lt_trichotomy y 0 with (hy | rfl | hy) exacts [bot_neg y hy, bot_zero, bot_pos y hy] | ⊥, ⊤ => bot_top | (x : ℝ), ⊥ => by rcases lt_trichotomy x 0 with (hx | rfl | hx) exacts [neg_bot x hx, zero_bot, pos_bot x hx] | (x : ℝ), (y : ℝ) => coe_coe _ _ | (x : ℝ), ⊤ => by rcases lt_trichotomy x 0 with (hx | rfl | hx) exacts [neg_top x hx, zero_top, pos_top x hx] | ⊤, ⊥ => top_bot | ⊤, (y : ℝ) => by rcases lt_trichotomy y 0 with (hy | rfl | hy) exacts [top_neg y hy, top_zero, top_pos y hy] | ⊤, ⊤ => top_top #align ereal.induction₂ EReal.induction₂ @[elab_as_elim] theorem induction₂_symm {P : EReal → EReal → Prop} (symm : ∀ {x y}, P x y → P y x) (top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0) (top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥) (coe_coe : ∀ x y : ℝ, P x y) (zero_bot : P 0 ⊥) (neg_bot : ∀ x : ℝ, x < 0 → P x ⊥) (bot_bot : P ⊥ ⊥) : ∀ x y, P x y := @induction₂ P top_top top_pos top_zero top_neg top_bot (fun _ h => symm <| top_pos _ h) pos_bot (symm top_zero) coe_coe zero_bot (fun _ h => symm <| top_neg _ h) neg_bot (symm top_bot) (fun _ h => symm <| pos_bot _ h) (symm zero_bot) (fun _ h => symm <| neg_bot _ h) bot_bot protected theorem mul_comm (x y : EReal) : x * y = y * x := by induction' x with x <;> induction' y with y <;> try { rfl } rw [← coe_mul, ← coe_mul, mul_comm] #align ereal.mul_comm EReal.mul_comm protected theorem one_mul : ∀ x : EReal, 1 * x = x | ⊤ => if_pos one_pos | ⊥ => if_pos one_pos | (x : ℝ) => congr_arg Real.toEReal (one_mul x) protected theorem zero_mul : ∀ x : EReal, 0 * x = 0 | ⊤ => (if_neg (lt_irrefl _)).trans (if_pos rfl) | ⊥ => (if_neg (lt_irrefl _)).trans (if_pos rfl) | (x : ℝ) => congr_arg Real.toEReal (zero_mul x) instance : MulZeroOneClass EReal where one_mul := EReal.one_mul mul_one := fun x => by rw [EReal.mul_comm, EReal.one_mul] zero_mul := EReal.zero_mul mul_zero := fun x => by rw [EReal.mul_comm, EReal.zero_mul] instance canLift : CanLift EReal ℝ (↑) fun r => r ≠ ⊤ ∧ r ≠ ⊥ where prf x hx := by induction x · simp at hx · simp · simp at hx #align ereal.can_lift EReal.canLift def toReal : EReal → ℝ | ⊥ => 0 | ⊤ => 0 | (x : ℝ) => x #align ereal.to_real EReal.toReal @[simp] theorem toReal_top : toReal ⊤ = 0 := rfl #align ereal.to_real_top EReal.toReal_top @[simp] theorem toReal_bot : toReal ⊥ = 0 := rfl #align ereal.to_real_bot EReal.toReal_bot @[simp] theorem toReal_zero : toReal 0 = 0 := rfl #align ereal.to_real_zero EReal.toReal_zero @[simp] theorem toReal_one : toReal 1 = 1 := rfl #align ereal.to_real_one EReal.toReal_one @[simp] theorem toReal_coe (x : ℝ) : toReal (x : EReal) = x := rfl #align ereal.to_real_coe EReal.toReal_coe @[simp] theorem bot_lt_coe (x : ℝ) : (⊥ : EReal) < x := WithBot.bot_lt_coe _ #align ereal.bot_lt_coe EReal.bot_lt_coe @[simp] theorem coe_ne_bot (x : ℝ) : (x : EReal) ≠ ⊥ := (bot_lt_coe x).ne' #align ereal.coe_ne_bot EReal.coe_ne_bot @[simp] theorem bot_ne_coe (x : ℝ) : (⊥ : EReal) ≠ x := (bot_lt_coe x).ne #align ereal.bot_ne_coe EReal.bot_ne_coe @[simp] theorem coe_lt_top (x : ℝ) : (x : EReal) < ⊤ := WithBot.coe_lt_coe.2 <| WithTop.coe_lt_top _ #align ereal.coe_lt_top EReal.coe_lt_top @[simp] theorem coe_ne_top (x : ℝ) : (x : EReal) ≠ ⊤ := (coe_lt_top x).ne #align ereal.coe_ne_top EReal.coe_ne_top @[simp] theorem top_ne_coe (x : ℝ) : (⊤ : EReal) ≠ x := (coe_lt_top x).ne' #align ereal.top_ne_coe EReal.top_ne_coe @[simp] theorem bot_lt_zero : (⊥ : EReal) < 0 := bot_lt_coe 0 #align ereal.bot_lt_zero EReal.bot_lt_zero @[simp] theorem bot_ne_zero : (⊥ : EReal) ≠ 0 := (coe_ne_bot 0).symm #align ereal.bot_ne_zero EReal.bot_ne_zero @[simp] theorem zero_ne_bot : (0 : EReal) ≠ ⊥ := coe_ne_bot 0 #align ereal.zero_ne_bot EReal.zero_ne_bot @[simp] theorem zero_lt_top : (0 : EReal) < ⊤ := coe_lt_top 0 #align ereal.zero_lt_top EReal.zero_lt_top @[simp] theorem zero_ne_top : (0 : EReal) ≠ ⊤ := coe_ne_top 0 #align ereal.zero_ne_top EReal.zero_ne_top @[simp] theorem top_ne_zero : (⊤ : EReal) ≠ 0 := (coe_ne_top 0).symm #align ereal.top_ne_zero EReal.top_ne_zero theorem range_coe : range Real.toEReal = {⊥, ⊤}ᶜ := by ext x induction x <;> simp theorem range_coe_eq_Ioo : range Real.toEReal = Ioo ⊥ ⊤ := by ext x induction x <;> simp @[simp, norm_cast] theorem coe_add (x y : ℝ) : (↑(x + y) : EReal) = x + y := rfl #align ereal.coe_add EReal.coe_add -- `coe_mul` moved up @[norm_cast] theorem coe_nsmul (n : ℕ) (x : ℝ) : (↑(n • x) : EReal) = n • (x : EReal) := map_nsmul (⟨⟨Real.toEReal, coe_zero⟩, coe_add⟩ : ℝ →+ EReal) _ _ #align ereal.coe_nsmul EReal.coe_nsmul #noalign ereal.coe_bit0 #noalign ereal.coe_bit1 @[simp, norm_cast] theorem coe_eq_zero {x : ℝ} : (x : EReal) = 0 ↔ x = 0 := EReal.coe_eq_coe_iff #align ereal.coe_eq_zero EReal.coe_eq_zero @[simp, norm_cast] theorem coe_eq_one {x : ℝ} : (x : EReal) = 1 ↔ x = 1 := EReal.coe_eq_coe_iff #align ereal.coe_eq_one EReal.coe_eq_one theorem coe_ne_zero {x : ℝ} : (x : EReal) ≠ 0 ↔ x ≠ 0 := EReal.coe_ne_coe_iff #align ereal.coe_ne_zero EReal.coe_ne_zero theorem coe_ne_one {x : ℝ} : (x : EReal) ≠ 1 ↔ x ≠ 1 := EReal.coe_ne_coe_iff #align ereal.coe_ne_one EReal.coe_ne_one @[simp, norm_cast] protected theorem coe_nonneg {x : ℝ} : (0 : EReal) ≤ x ↔ 0 ≤ x := EReal.coe_le_coe_iff #align ereal.coe_nonneg EReal.coe_nonneg @[simp, norm_cast] protected theorem coe_nonpos {x : ℝ} : (x : EReal) ≤ 0 ↔ x ≤ 0 := EReal.coe_le_coe_iff #align ereal.coe_nonpos EReal.coe_nonpos @[simp, norm_cast] protected theorem coe_pos {x : ℝ} : (0 : EReal) < x ↔ 0 < x := EReal.coe_lt_coe_iff #align ereal.coe_pos EReal.coe_pos @[simp, norm_cast] protected theorem coe_neg' {x : ℝ} : (x : EReal) < 0 ↔ x < 0 := EReal.coe_lt_coe_iff #align ereal.coe_neg' EReal.coe_neg' theorem toReal_le_toReal {x y : EReal} (h : x ≤ y) (hx : x ≠ ⊥) (hy : y ≠ ⊤) : x.toReal ≤ y.toReal := by lift x to ℝ using ⟨ne_top_of_le_ne_top hy h, hx⟩ lift y to ℝ using ⟨hy, ne_bot_of_le_ne_bot hx h⟩ simpa using h #align ereal.to_real_le_to_real EReal.toReal_le_toReal theorem coe_toReal {x : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) : (x.toReal : EReal) = x := by lift x to ℝ using ⟨hx, h'x⟩ rfl #align ereal.coe_to_real EReal.coe_toReal theorem le_coe_toReal {x : EReal} (h : x ≠ ⊤) : x ≤ x.toReal := by by_cases h' : x = ⊥ · simp only [h', bot_le] · simp only [le_refl, coe_toReal h h'] #align ereal.le_coe_to_real EReal.le_coe_toReal theorem coe_toReal_le {x : EReal} (h : x ≠ ⊥) : ↑x.toReal ≤ x := by by_cases h' : x = ⊤ · simp only [h', le_top] · simp only [le_refl, coe_toReal h' h] #align ereal.coe_to_real_le EReal.coe_toReal_le theorem eq_top_iff_forall_lt (x : EReal) : x = ⊤ ↔ ∀ y : ℝ, (y : EReal) < x := by constructor · rintro rfl exact EReal.coe_lt_top · contrapose! intro h exact ⟨x.toReal, le_coe_toReal h⟩ #align ereal.eq_top_iff_forall_lt EReal.eq_top_iff_forall_lt theorem eq_bot_iff_forall_lt (x : EReal) : x = ⊥ ↔ ∀ y : ℝ, x < (y : EReal) := by constructor · rintro rfl exact bot_lt_coe · contrapose! intro h exact ⟨x.toReal, coe_toReal_le h⟩ #align ereal.eq_bot_iff_forall_lt EReal.eq_bot_iff_forall_lt lemma exists_between_coe_real {x z : EReal} (h : x < z) : ∃ y : ℝ, x < y ∧ y < z := by obtain ⟨a, ha₁, ha₂⟩ := exists_between h induction a with | h_bot => exact (not_lt_bot ha₁).elim | h_real a₀ => exact ⟨a₀, ha₁, ha₂⟩ | h_top => exact (not_top_lt ha₂).elim @[simp] lemma image_coe_Icc (x y : ℝ) : Real.toEReal '' Icc x y = Icc ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Icc, WithBot.image_coe_Icc] rfl @[simp] lemma image_coe_Ico (x y : ℝ) : Real.toEReal '' Ico x y = Ico ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ico, WithBot.image_coe_Ico] rfl @[simp] lemma image_coe_Ici (x : ℝ) : Real.toEReal '' Ici x = Ico ↑x ⊤ := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ici, WithBot.image_coe_Ico] rfl @[simp] lemma image_coe_Ioc (x y : ℝ) : Real.toEReal '' Ioc x y = Ioc ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ioc, WithBot.image_coe_Ioc] rfl @[simp] lemma image_coe_Ioo (x y : ℝ) : Real.toEReal '' Ioo x y = Ioo ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ioo, WithBot.image_coe_Ioo] rfl @[simp] lemma image_coe_Ioi (x : ℝ) : Real.toEReal '' Ioi x = Ioo ↑x ⊤ := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ioi, WithBot.image_coe_Ioo] rfl @[simp] lemma image_coe_Iic (x : ℝ) : Real.toEReal '' Iic x = Ioc ⊥ ↑x := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Iic, WithBot.image_coe_Iic] rfl @[simp] lemma image_coe_Iio (x : ℝ) : Real.toEReal '' Iio x = Ioo ⊥ ↑x := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Iio, WithBot.image_coe_Iio] rfl @[simp] lemma preimage_coe_Ici (x : ℝ) : Real.toEReal ⁻¹' Ici x = Ici x := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Ici (WithBot.some (WithTop.some x))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Ici, WithTop.preimage_coe_Ici] @[simp] lemma preimage_coe_Ioi (x : ℝ) : Real.toEReal ⁻¹' Ioi x = Ioi x := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Ioi (WithBot.some (WithTop.some x))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Ioi, WithTop.preimage_coe_Ioi] @[simp] lemma preimage_coe_Ioi_bot : Real.toEReal ⁻¹' Ioi ⊥ = univ := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Ioi ⊥) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Ioi_bot, preimage_univ] @[simp] lemma preimage_coe_Iic (y : ℝ) : Real.toEReal ⁻¹' Iic y = Iic y := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Iic (WithBot.some (WithTop.some y))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Iic, WithTop.preimage_coe_Iic] @[simp] lemma preimage_coe_Iio (y : ℝ) : Real.toEReal ⁻¹' Iio y = Iio y := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Iio (WithBot.some (WithTop.some y))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Iio, WithTop.preimage_coe_Iio] @[simp] lemma preimage_coe_Iio_top : Real.toEReal ⁻¹' Iio ⊤ = univ := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Iio (WithBot.some ⊤)) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Iio, WithTop.preimage_coe_Iio_top] @[simp] lemma preimage_coe_Icc (x y : ℝ) : Real.toEReal ⁻¹' Icc x y = Icc x y := by simp_rw [← Ici_inter_Iic] simp @[simp] lemma preimage_coe_Ico (x y : ℝ) : Real.toEReal ⁻¹' Ico x y = Ico x y := by simp_rw [← Ici_inter_Iio] simp @[simp] lemma preimage_coe_Ioc (x y : ℝ) : Real.toEReal ⁻¹' Ioc x y = Ioc x y := by simp_rw [← Ioi_inter_Iic] simp @[simp] lemma preimage_coe_Ioo (x y : ℝ) : Real.toEReal ⁻¹' Ioo x y = Ioo x y := by simp_rw [← Ioi_inter_Iio] simp @[simp] lemma preimage_coe_Ico_top (x : ℝ) : Real.toEReal ⁻¹' Ico x ⊤ = Ici x := by rw [← Ici_inter_Iio] simp @[simp] lemma preimage_coe_Ioo_top (x : ℝ) : Real.toEReal ⁻¹' Ioo x ⊤ = Ioi x := by rw [← Ioi_inter_Iio] simp @[simp] lemma preimage_coe_Ioc_bot (y : ℝ) : Real.toEReal ⁻¹' Ioc ⊥ y = Iic y := by rw [← Ioi_inter_Iic] simp @[simp] lemma preimage_coe_Ioo_bot (y : ℝ) : Real.toEReal ⁻¹' Ioo ⊥ y = Iio y := by rw [← Ioi_inter_Iio] simp @[simp] lemma preimage_coe_Ioo_bot_top : Real.toEReal ⁻¹' Ioo ⊥ ⊤ = univ := by rw [← Ioi_inter_Iio] simp @[simp] theorem toReal_coe_ennreal : ∀ {x : ℝ≥0∞}, toReal (x : EReal) = ENNReal.toReal x | ⊤ => rfl | .some _ => rfl #align ereal.to_real_coe_ennreal EReal.toReal_coe_ennreal @[simp] theorem coe_ennreal_ofReal {x : ℝ} : (ENNReal.ofReal x : EReal) = max x 0 := rfl #align ereal.coe_ennreal_of_real EReal.coe_ennreal_ofReal theorem coe_nnreal_eq_coe_real (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) = (x : ℝ) := rfl #align ereal.coe_nnreal_eq_coe_real EReal.coe_nnreal_eq_coe_real @[simp, norm_cast] theorem coe_ennreal_zero : ((0 : ℝ≥0∞) : EReal) = 0 := rfl #align ereal.coe_ennreal_zero EReal.coe_ennreal_zero @[simp, norm_cast] theorem coe_ennreal_one : ((1 : ℝ≥0∞) : EReal) = 1 := rfl #align ereal.coe_ennreal_one EReal.coe_ennreal_one @[simp, norm_cast] theorem coe_ennreal_top : ((⊤ : ℝ≥0∞) : EReal) = ⊤ := rfl #align ereal.coe_ennreal_top EReal.coe_ennreal_top theorem coe_ennreal_strictMono : StrictMono ((↑) : ℝ≥0∞ → EReal) := WithTop.strictMono_iff.2 ⟨fun _ _ => EReal.coe_lt_coe_iff.2, fun _ => coe_lt_top _⟩ #align ereal.coe_ennreal_strict_mono EReal.coe_ennreal_strictMono theorem coe_ennreal_injective : Injective ((↑) : ℝ≥0∞ → EReal) := coe_ennreal_strictMono.injective #align ereal.coe_ennreal_injective EReal.coe_ennreal_injective @[simp] theorem coe_ennreal_eq_top_iff {x : ℝ≥0∞} : (x : EReal) = ⊤ ↔ x = ⊤ := coe_ennreal_injective.eq_iff' rfl #align ereal.coe_ennreal_eq_top_iff EReal.coe_ennreal_eq_top_iff theorem coe_nnreal_ne_top (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) ≠ ⊤ := coe_ne_top x #align ereal.coe_nnreal_ne_top EReal.coe_nnreal_ne_top @[simp] theorem coe_nnreal_lt_top (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) < ⊤ := coe_lt_top x #align ereal.coe_nnreal_lt_top EReal.coe_nnreal_lt_top @[simp, norm_cast] theorem coe_ennreal_le_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) ≤ (y : EReal) ↔ x ≤ y := coe_ennreal_strictMono.le_iff_le #align ereal.coe_ennreal_le_coe_ennreal_iff EReal.coe_ennreal_le_coe_ennreal_iff @[simp, norm_cast] theorem coe_ennreal_lt_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) < (y : EReal) ↔ x < y := coe_ennreal_strictMono.lt_iff_lt #align ereal.coe_ennreal_lt_coe_ennreal_iff EReal.coe_ennreal_lt_coe_ennreal_iff @[simp, norm_cast] theorem coe_ennreal_eq_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) = (y : EReal) ↔ x = y := coe_ennreal_injective.eq_iff #align ereal.coe_ennreal_eq_coe_ennreal_iff EReal.coe_ennreal_eq_coe_ennreal_iff theorem coe_ennreal_ne_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) ≠ (y : EReal) ↔ x ≠ y := coe_ennreal_injective.ne_iff #align ereal.coe_ennreal_ne_coe_ennreal_iff EReal.coe_ennreal_ne_coe_ennreal_iff @[simp, norm_cast] theorem coe_ennreal_eq_zero {x : ℝ≥0∞} : (x : EReal) = 0 ↔ x = 0 := by rw [← coe_ennreal_eq_coe_ennreal_iff, coe_ennreal_zero] #align ereal.coe_ennreal_eq_zero EReal.coe_ennreal_eq_zero @[simp, norm_cast]
Mathlib/Data/Real/EReal.lean
661
662
theorem coe_ennreal_eq_one {x : ℝ≥0∞} : (x : EReal) = 1 ↔ x = 1 := by
rw [← coe_ennreal_eq_coe_ennreal_iff, coe_ennreal_one]
import Mathlib.Algebra.MonoidAlgebra.Support import Mathlib.Algebra.Polynomial.Basic import Mathlib.Algebra.Regular.Basic import Mathlib.Data.Nat.Choose.Sum #align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c" set_option linter.uppercaseLean3 false noncomputable section open Finsupp Finset AddMonoidAlgebra open Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ} variable [Semiring R] {p q r : R[X]} section Coeff @[simp] theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by rcases p with ⟨⟩ rcases q with ⟨⟩ simp_rw [← ofFinsupp_add, coeff] exact Finsupp.add_apply _ _ _ #align polynomial.coeff_add Polynomial.coeff_add set_option linter.deprecated false in @[simp] theorem coeff_bit0 (p : R[X]) (n : ℕ) : coeff (bit0 p) n = bit0 (coeff p n) := by simp [bit0] #align polynomial.coeff_bit0 Polynomial.coeff_bit0 @[simp] theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) : coeff (r • p) n = r • coeff p n := by rcases p with ⟨⟩ simp_rw [← ofFinsupp_smul, coeff] exact Finsupp.smul_apply _ _ _ #align polynomial.coeff_smul Polynomial.coeff_smul theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) : support (r • p) ⊆ support p := by intro i hi simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢ contrapose! hi simp [hi] #align polynomial.support_smul Polynomial.support_smul open scoped Pointwise in theorem card_support_mul_le : (p * q).support.card ≤ p.support.card * q.support.card := by calc (p * q).support.card _ = (p.toFinsupp * q.toFinsupp).support.card := by rw [← support_toFinsupp, toFinsupp_mul] _ ≤ (p.toFinsupp.support + q.toFinsupp.support).card := Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp) _ ≤ p.support.card * q.support.card := Finset.card_image₂_le .. @[simps] def lsum {R A M : Type*} [Semiring R] [Semiring A] [AddCommMonoid M] [Module R A] [Module R M] (f : ℕ → A →ₗ[R] M) : A[X] →ₗ[R] M where toFun p := p.sum (f · ·) map_add' p q := sum_add_index p q _ (fun n => (f n).map_zero) fun n _ _ => (f n).map_add _ _ map_smul' c p := by -- Porting note: added `dsimp only`; `beta_reduce` alone is not sufficient dsimp only rw [sum_eq_of_subset (f · ·) (fun n => (f n).map_zero) (support_smul c p)] simp only [sum_def, Finset.smul_sum, coeff_smul, LinearMap.map_smul, RingHom.id_apply] #align polynomial.lsum Polynomial.lsum #align polynomial.lsum_apply Polynomial.lsum_apply variable (R) def lcoeff (n : ℕ) : R[X] →ₗ[R] R where toFun p := coeff p n map_add' p q := coeff_add p q n map_smul' r p := coeff_smul r p n #align polynomial.lcoeff Polynomial.lcoeff variable {R} @[simp] theorem lcoeff_apply (n : ℕ) (f : R[X]) : lcoeff R n f = coeff f n := rfl #align polynomial.lcoeff_apply Polynomial.lcoeff_apply @[simp] theorem finset_sum_coeff {ι : Type*} (s : Finset ι) (f : ι → R[X]) (n : ℕ) : coeff (∑ b ∈ s, f b) n = ∑ b ∈ s, coeff (f b) n := map_sum (lcoeff R n) _ _ #align polynomial.finset_sum_coeff Polynomial.finset_sum_coeff lemma coeff_list_sum (l : List R[X]) (n : ℕ) : l.sum.coeff n = (l.map (lcoeff R n)).sum := map_list_sum (lcoeff R n) _ lemma coeff_list_sum_map {ι : Type*} (l : List ι) (f : ι → R[X]) (n : ℕ) : (l.map f).sum.coeff n = (l.map (fun a => (f a).coeff n)).sum := by simp_rw [coeff_list_sum, List.map_map, Function.comp, lcoeff_apply] theorem coeff_sum [Semiring S] (n : ℕ) (f : ℕ → R → S[X]) : coeff (p.sum f) n = p.sum fun a b => coeff (f a b) n := by rcases p with ⟨⟩ -- porting note (#10745): was `simp [Polynomial.sum, support, coeff]`. simp [Polynomial.sum, support_ofFinsupp, coeff_ofFinsupp] #align polynomial.coeff_sum Polynomial.coeff_sum theorem coeff_mul (p q : R[X]) (n : ℕ) : coeff (p * q) n = ∑ x ∈ antidiagonal n, coeff p x.1 * coeff q x.2 := by rcases p with ⟨p⟩; rcases q with ⟨q⟩ simp_rw [← ofFinsupp_mul, coeff] exact AddMonoidAlgebra.mul_apply_antidiagonal p q n _ Finset.mem_antidiagonal #align polynomial.coeff_mul Polynomial.coeff_mul @[simp] theorem mul_coeff_zero (p q : R[X]) : coeff (p * q) 0 = coeff p 0 * coeff q 0 := by simp [coeff_mul] #align polynomial.mul_coeff_zero Polynomial.mul_coeff_zero @[simps] def constantCoeff : R[X] →+* R where toFun p := coeff p 0 map_one' := coeff_one_zero map_mul' := mul_coeff_zero map_zero' := coeff_zero 0 map_add' p q := coeff_add p q 0 #align polynomial.constant_coeff Polynomial.constantCoeff #align polynomial.constant_coeff_apply Polynomial.constantCoeff_apply theorem isUnit_C {x : R} : IsUnit (C x) ↔ IsUnit x := ⟨fun h => (congr_arg IsUnit coeff_C_zero).mp (h.map <| @constantCoeff R _), fun h => h.map C⟩ #align polynomial.is_unit_C Polynomial.isUnit_C
Mathlib/Algebra/Polynomial/Coeff.lean
157
157
theorem coeff_mul_X_zero (p : R[X]) : coeff (p * X) 0 = 0 := by
simp
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Data.Vector.Defs import Mathlib.Data.List.Nodup import Mathlib.Data.List.OfFn import Mathlib.Data.List.InsertNth import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" set_option autoImplicit true universe u variable {n : ℕ} namespace Vector variable {α : Type*} @[inherit_doc] infixr:67 " ::ᵥ " => Vector.cons attribute [simp] head_cons tail_cons instance [Inhabited α] : Inhabited (Vector α n) := ⟨ofFn default⟩ theorem toList_injective : Function.Injective (@toList α n) := Subtype.val_injective #align vector.to_list_injective Vector.toList_injective @[ext] theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w | ⟨v, hv⟩, ⟨w, hw⟩, h => Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩) #align vector.ext Vector.ext instance zero_subsingleton : Subsingleton (Vector α 0) := ⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩ #align vector.zero_subsingleton Vector.zero_subsingleton @[simp] theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val | ⟨_, _⟩ => rfl #align vector.cons_val Vector.cons_val #align vector.cons_head Vector.head_cons #align vector.cons_tail Vector.tail_cons theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' := ⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h => _root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩ #align vector.eq_cons_iff Vector.eq_cons_iff theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by rw [Ne, eq_cons_iff a v v', not_and_or] #align vector.ne_cons_iff Vector.ne_cons_iff theorem exists_eq_cons (v : Vector α n.succ) : ∃ (a : α) (as : Vector α n), v = a ::ᵥ as := ⟨v.head, v.tail, (eq_cons_iff v.head v v.tail).2 ⟨rfl, rfl⟩⟩ #align vector.exists_eq_cons Vector.exists_eq_cons @[simp] theorem toList_ofFn : ∀ {n} (f : Fin n → α), toList (ofFn f) = List.ofFn f | 0, f => by rw [ofFn, List.ofFn_zero, toList, nil] | n + 1, f => by rw [ofFn, List.ofFn_succ, toList_cons, toList_ofFn] #align vector.to_list_of_fn Vector.toList_ofFn @[simp] theorem mk_toList : ∀ (v : Vector α n) (h), (⟨toList v, h⟩ : Vector α n) = v | ⟨_, _⟩, _ => rfl #align vector.mk_to_list Vector.mk_toList @[simp] theorem length_val (v : Vector α n) : v.val.length = n := v.2 -- Porting note: not used in mathlib and coercions done differently in Lean 4 -- @[simp] -- theorem length_coe (v : Vector α n) : -- ((coe : { l : List α // l.length = n } → List α) v).length = n := -- v.2 #noalign vector.length_coe @[simp] theorem toList_map {β : Type*} (v : Vector α n) (f : α → β) : (v.map f).toList = v.toList.map f := by cases v; rfl #align vector.to_list_map Vector.toList_map @[simp] theorem head_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).head = f v.head := by obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v rw [h, map_cons, head_cons, head_cons] #align vector.head_map Vector.head_map @[simp] theorem tail_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).tail = v.tail.map f := by obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v rw [h, map_cons, tail_cons, tail_cons] #align vector.tail_map Vector.tail_map theorem get_eq_get (v : Vector α n) (i : Fin n) : v.get i = v.toList.get (Fin.cast v.toList_length.symm i) := rfl #align vector.nth_eq_nth_le Vector.get_eq_getₓ @[simp] theorem get_replicate (a : α) (i : Fin n) : (Vector.replicate n a).get i = a := by apply List.get_replicate #align vector.nth_repeat Vector.get_replicate @[simp] theorem get_map {β : Type*} (v : Vector α n) (f : α → β) (i : Fin n) : (v.map f).get i = f (v.get i) := by cases v; simp [Vector.map, get_eq_get]; rfl #align vector.nth_map Vector.get_map @[simp] theorem map₂_nil (f : α → β → γ) : Vector.map₂ f nil nil = nil := rfl @[simp] theorem map₂_cons (hd₁ : α) (tl₁ : Vector α n) (hd₂ : β) (tl₂ : Vector β n) (f : α → β → γ) : Vector.map₂ f (hd₁ ::ᵥ tl₁) (hd₂ ::ᵥ tl₂) = f hd₁ hd₂ ::ᵥ (Vector.map₂ f tl₁ tl₂) := rfl @[simp] theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f i := by conv_rhs => erw [← List.get_ofFn f ⟨i, by simp⟩] simp only [get_eq_get] congr <;> simp [Fin.heq_ext_iff] #align vector.nth_of_fn Vector.get_ofFn @[simp] theorem ofFn_get (v : Vector α n) : ofFn (get v) = v := by rcases v with ⟨l, rfl⟩ apply toList_injective dsimp simpa only [toList_ofFn] using List.ofFn_get _ #align vector.of_fn_nth Vector.ofFn_get def _root_.Equiv.vectorEquivFin (α : Type*) (n : ℕ) : Vector α n ≃ (Fin n → α) := ⟨Vector.get, Vector.ofFn, Vector.ofFn_get, fun f => funext <| Vector.get_ofFn f⟩ #align equiv.vector_equiv_fin Equiv.vectorEquivFin theorem get_tail (x : Vector α n) (i) : x.tail.get i = x.get ⟨i.1 + 1, by omega⟩ := by cases' i with i ih; dsimp rcases x with ⟨_ | _, h⟩ <;> try rfl rw [List.length] at h rw [← h] at ih contradiction #align vector.nth_tail Vector.get_tail @[simp] theorem get_tail_succ : ∀ (v : Vector α n.succ) (i : Fin n), get (tail v) i = get v i.succ | ⟨a :: l, e⟩, ⟨i, h⟩ => by simp [get_eq_get]; rfl #align vector.nth_tail_succ Vector.get_tail_succ @[simp] theorem tail_val : ∀ v : Vector α n.succ, v.tail.val = v.val.tail | ⟨_ :: _, _⟩ => rfl #align vector.tail_val Vector.tail_val @[simp] theorem tail_nil : (@nil α).tail = nil := rfl #align vector.tail_nil Vector.tail_nil @[simp] theorem singleton_tail : ∀ (v : Vector α 1), v.tail = Vector.nil | ⟨[_], _⟩ => rfl #align vector.singleton_tail Vector.singleton_tail @[simp] theorem tail_ofFn {n : ℕ} (f : Fin n.succ → α) : tail (ofFn f) = ofFn fun i => f i.succ := (ofFn_get _).symm.trans <| by congr funext i rw [get_tail, get_ofFn] rfl #align vector.tail_of_fn Vector.tail_ofFn @[simp] theorem toList_empty (v : Vector α 0) : v.toList = [] := List.length_eq_zero.mp v.2 #align vector.to_list_empty Vector.toList_empty @[simp] theorem toList_singleton (v : Vector α 1) : v.toList = [v.head] := by rw [← v.cons_head_tail] simp only [toList_cons, toList_nil, head_cons, eq_self_iff_true, and_self_iff, singleton_tail] #align vector.to_list_singleton Vector.toList_singleton @[simp] theorem empty_toList_eq_ff (v : Vector α (n + 1)) : v.toList.isEmpty = false := match v with | ⟨_ :: _, _⟩ => rfl #align vector.empty_to_list_eq_ff Vector.empty_toList_eq_ff theorem not_empty_toList (v : Vector α (n + 1)) : ¬v.toList.isEmpty := by simp only [empty_toList_eq_ff, Bool.coe_sort_false, not_false_iff] #align vector.not_empty_to_list Vector.not_empty_toList @[simp] theorem map_id {n : ℕ} (v : Vector α n) : Vector.map id v = v := Vector.eq _ _ (by simp only [List.map_id, Vector.toList_map]) #align vector.map_id Vector.map_id theorem nodup_iff_injective_get {v : Vector α n} : v.toList.Nodup ↔ Function.Injective v.get := by cases' v with l hl subst hl exact List.nodup_iff_injective_get #align vector.nodup_iff_nth_inj Vector.nodup_iff_injective_get theorem head?_toList : ∀ v : Vector α n.succ, (toList v).head? = some (head v) | ⟨_ :: _, _⟩ => rfl #align vector.head'_to_list Vector.head?_toList def reverse (v : Vector α n) : Vector α n := ⟨v.toList.reverse, by simp⟩ #align vector.reverse Vector.reverse theorem toList_reverse {v : Vector α n} : v.reverse.toList = v.toList.reverse := rfl #align vector.to_list_reverse Vector.toList_reverse @[simp] theorem reverse_reverse {v : Vector α n} : v.reverse.reverse = v := by cases v simp [Vector.reverse] #align vector.reverse_reverse Vector.reverse_reverse @[simp] theorem get_zero : ∀ v : Vector α n.succ, get v 0 = head v | ⟨_ :: _, _⟩ => rfl #align vector.nth_zero Vector.get_zero @[simp] theorem head_ofFn {n : ℕ} (f : Fin n.succ → α) : head (ofFn f) = f 0 := by rw [← get_zero, get_ofFn] #align vector.head_of_fn Vector.head_ofFn --@[simp] Porting note (#10618): simp can prove it theorem get_cons_zero (a : α) (v : Vector α n) : get (a ::ᵥ v) 0 = a := by simp [get_zero] #align vector.nth_cons_zero Vector.get_cons_zero @[simp] theorem get_cons_nil : ∀ {ix : Fin 1} (x : α), get (x ::ᵥ nil) ix = x | ⟨0, _⟩, _ => rfl #align vector.nth_cons_nil Vector.get_cons_nil @[simp] theorem get_cons_succ (a : α) (v : Vector α n) (i : Fin n) : get (a ::ᵥ v) i.succ = get v i := by rw [← get_tail_succ, tail_cons] #align vector.nth_cons_succ Vector.get_cons_succ def last (v : Vector α (n + 1)) : α := v.get (Fin.last n) #align vector.last Vector.last theorem last_def {v : Vector α (n + 1)} : v.last = v.get (Fin.last n) := rfl #align vector.last_def Vector.last_def theorem reverse_get_zero {v : Vector α (n + 1)} : v.reverse.head = v.last := by rw [← get_zero, last_def, get_eq_get, get_eq_get] simp_rw [toList_reverse] rw [← Option.some_inj, Fin.cast, Fin.cast, ← List.get?_eq_get, ← List.get?_eq_get, List.get?_reverse] · congr simp · simp #align vector.reverse_nth_zero Vector.reverse_get_zero def mOfFn {m} [Monad m] {α : Type u} : ∀ {n}, (Fin n → m α) → m (Vector α n) | 0, _ => pure nil | _ + 1, f => do let a ← f 0 let v ← mOfFn fun i => f i.succ pure (a ::ᵥ v) #align vector.m_of_fn Vector.mOfFn theorem mOfFn_pure {m} [Monad m] [LawfulMonad m] {α} : ∀ {n} (f : Fin n → α), (@mOfFn m _ _ _ fun i => pure (f i)) = pure (ofFn f) | 0, f => rfl | n + 1, f => by rw [mOfFn, @mOfFn_pure m _ _ _ n _, ofFn] simp #align vector.m_of_fn_pure Vector.mOfFn_pure def mmap {m} [Monad m] {α} {β : Type u} (f : α → m β) : ∀ {n}, Vector α n → m (Vector β n) | 0, _ => pure nil | _ + 1, xs => do let h' ← f xs.head let t' ← mmap f xs.tail pure (h' ::ᵥ t') #align vector.mmap Vector.mmap @[simp] theorem mmap_nil {m} [Monad m] {α β} (f : α → m β) : mmap f nil = pure nil := rfl #align vector.mmap_nil Vector.mmap_nil @[simp] theorem mmap_cons {m} [Monad m] {α β} (f : α → m β) (a) : ∀ {n} (v : Vector α n), mmap f (a ::ᵥ v) = do let h' ← f a let t' ← mmap f v pure (h' ::ᵥ t') | _, ⟨_, rfl⟩ => rfl #align vector.mmap_cons Vector.mmap_cons @[elab_as_elim, induction_eliminator] def inductionOn {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (v : Vector α n) (nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : C v := by -- Porting note: removed `generalizing`: already generalized induction' n with n ih · rcases v with ⟨_ | ⟨-, -⟩, - | -⟩ exact nil · rcases v with ⟨_ | ⟨a, v⟩, v_property⟩ cases v_property exact cons (ih ⟨v, (add_left_inj 1).mp v_property⟩) #align vector.induction_on Vector.inductionOn @[simp] theorem inductionOn_nil {C : ∀ {n : ℕ}, Vector α n → Sort*} (nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : Vector.nil.inductionOn nil cons = nil := rfl @[simp] theorem inductionOn_cons {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (x : α) (v : Vector α n) (nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : (x ::ᵥ v).inductionOn nil cons = cons (v.inductionOn nil cons : C v) := rfl variable {β γ : Type*} @[elab_as_elim] def inductionOn₂ {C : ∀ {n}, Vector α n → Vector β n → Sort*} (v : Vector α n) (w : Vector β n) (nil : C nil nil) (cons : ∀ {n a b} {x : Vector α n} {y}, C x y → C (a ::ᵥ x) (b ::ᵥ y)) : C v w := by -- Porting note: removed `generalizing`: already generalized induction' n with n ih · rcases v with ⟨_ | ⟨-, -⟩, - | -⟩ rcases w with ⟨_ | ⟨-, -⟩, - | -⟩ exact nil · rcases v with ⟨_ | ⟨a, v⟩, v_property⟩ cases v_property rcases w with ⟨_ | ⟨b, w⟩, w_property⟩ cases w_property apply @cons n _ _ ⟨v, (add_left_inj 1).mp v_property⟩ ⟨w, (add_left_inj 1).mp w_property⟩ apply ih #align vector.induction_on₂ Vector.inductionOn₂ @[elab_as_elim] def inductionOn₃ {C : ∀ {n}, Vector α n → Vector β n → Vector γ n → Sort*} (u : Vector α n) (v : Vector β n) (w : Vector γ n) (nil : C nil nil nil) (cons : ∀ {n a b c} {x : Vector α n} {y z}, C x y z → C (a ::ᵥ x) (b ::ᵥ y) (c ::ᵥ z)) : C u v w := by -- Porting note: removed `generalizing`: already generalized induction' n with n ih · rcases u with ⟨_ | ⟨-, -⟩, - | -⟩ rcases v with ⟨_ | ⟨-, -⟩, - | -⟩ rcases w with ⟨_ | ⟨-, -⟩, - | -⟩ exact nil · rcases u with ⟨_ | ⟨a, u⟩, u_property⟩ cases u_property rcases v with ⟨_ | ⟨b, v⟩, v_property⟩ cases v_property rcases w with ⟨_ | ⟨c, w⟩, w_property⟩ cases w_property apply @cons n _ _ _ ⟨u, (add_left_inj 1).mp u_property⟩ ⟨v, (add_left_inj 1).mp v_property⟩ ⟨w, (add_left_inj 1).mp w_property⟩ apply ih #align vector.induction_on₃ Vector.inductionOn₃ def casesOn {motive : ∀ {n}, Vector α n → Sort*} (v : Vector α m) (nil : motive nil) (cons : ∀ {n}, (hd : α) → (tl : Vector α n) → motive (Vector.cons hd tl)) : motive v := inductionOn (C := motive) v nil @fun _ hd tl _ => cons hd tl def casesOn₂ {motive : ∀{n}, Vector α n → Vector β n → Sort*} (v₁ : Vector α m) (v₂ : Vector β m) (nil : motive nil nil) (cons : ∀{n}, (x : α) → (y : β) → (xs : Vector α n) → (ys : Vector β n) → motive (x ::ᵥ xs) (y ::ᵥ ys)) : motive v₁ v₂ := inductionOn₂ (C := motive) v₁ v₂ nil @fun _ x y xs ys _ => cons x y xs ys def casesOn₃ {motive : ∀{n}, Vector α n → Vector β n → Vector γ n → Sort*} (v₁ : Vector α m) (v₂ : Vector β m) (v₃ : Vector γ m) (nil : motive nil nil nil) (cons : ∀{n}, (x : α) → (y : β) → (z : γ) → (xs : Vector α n) → (ys : Vector β n) → (zs : Vector γ n) → motive (x ::ᵥ xs) (y ::ᵥ ys) (z ::ᵥ zs)) : motive v₁ v₂ v₃ := inductionOn₃ (C := motive) v₁ v₂ v₃ nil @fun _ x y z xs ys zs _ => cons x y z xs ys zs def toArray : Vector α n → Array α | ⟨xs, _⟩ => cast (by rfl) xs.toArray #align vector.to_array Vector.toArray -- Porting note: renamed to `set` from `updateNth` to align with `List` section ModifyNth def set (v : Vector α n) (i : Fin n) (a : α) : Vector α n := ⟨v.1.set i.1 a, by simp⟩ #align vector.update_nth Vector.set @[simp] theorem toList_set (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).toList = v.toList.set i a := rfl #align vector.to_list_update_nth Vector.toList_set @[simp] theorem get_set_same (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).get i = a := by cases v; cases i; simp [Vector.set, get_eq_get] #align vector.nth_update_nth_same Vector.get_set_same theorem get_set_of_ne {v : Vector α n} {i j : Fin n} (h : i ≠ j) (a : α) : (v.set i a).get j = v.get j := by cases v; cases i; cases j simp only [set, get_eq_get, toList_mk, Fin.cast_mk, ne_eq] rw [List.get_set_of_ne] · simpa using h #align vector.nth_update_nth_of_ne Vector.get_set_of_ne theorem get_set_eq_if {v : Vector α n} {i j : Fin n} (a : α) : (v.set i a).get j = if i = j then a else v.get j := by split_ifs <;> (try simp [*]); rwa [get_set_of_ne] #align vector.nth_update_nth_eq_if Vector.get_set_eq_if @[to_additive]
Mathlib/Data/Vector/Basic.lean
651
654
theorem prod_set [Monoid α] (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).toList.prod = (v.take i).toList.prod * a * (v.drop (i + 1)).toList.prod := by
refine (List.prod_set v.toList i a).trans ?_ simp_all
import Mathlib.Analysis.Convex.Side import Mathlib.Geometry.Euclidean.Angle.Oriented.Rotation import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine #align_import geometry.euclidean.angle.oriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open FiniteDimensional Complex open scoped Affine EuclideanGeometry Real RealInnerProductSpace ComplexConjugate namespace EuclideanGeometry variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)] abbrev o := @Module.Oriented.positiveOrientation def oangle (p₁ p₂ p₃ : P) : Real.Angle := o.oangle (p₁ -ᵥ p₂) (p₃ -ᵥ p₂) #align euclidean_geometry.oangle EuclideanGeometry.oangle @[inherit_doc] scoped notation "∡" => EuclideanGeometry.oangle theorem continuousAt_oangle {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 (o.continuousAt_oangle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_oangle EuclideanGeometry.continuousAt_oangle @[simp] theorem oangle_self_left (p₁ p₂ : P) : ∡ p₁ p₁ p₂ = 0 := by simp [oangle] #align euclidean_geometry.oangle_self_left EuclideanGeometry.oangle_self_left @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Affine.lean
65
65
theorem oangle_self_right (p₁ p₂ : P) : ∡ p₁ p₂ p₂ = 0 := by
simp [oangle]
import Mathlib.SetTheory.Game.Basic import Mathlib.Tactic.NthRewrite #align_import set_theory.game.impartial from "leanprover-community/mathlib"@"2e0975f6a25dd3fbfb9e41556a77f075f6269748" universe u namespace SetTheory open scoped PGame namespace PGame def ImpartialAux : PGame → Prop | G => (G ≈ -G) ∧ (∀ i, ImpartialAux (G.moveLeft i)) ∧ ∀ j, ImpartialAux (G.moveRight j) termination_by G => G -- Porting note: Added `termination_by` #align pgame.impartial_aux SetTheory.PGame.ImpartialAux theorem impartialAux_def {G : PGame} : G.ImpartialAux ↔ (G ≈ -G) ∧ (∀ i, ImpartialAux (G.moveLeft i)) ∧ ∀ j, ImpartialAux (G.moveRight j) := by rw [ImpartialAux] #align pgame.impartial_aux_def SetTheory.PGame.impartialAux_def class Impartial (G : PGame) : Prop where out : ImpartialAux G #align pgame.impartial SetTheory.PGame.Impartial theorem impartial_iff_aux {G : PGame} : G.Impartial ↔ G.ImpartialAux := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align pgame.impartial_iff_aux SetTheory.PGame.impartial_iff_aux theorem impartial_def {G : PGame} : G.Impartial ↔ (G ≈ -G) ∧ (∀ i, Impartial (G.moveLeft i)) ∧ ∀ j, Impartial (G.moveRight j) := by simpa only [impartial_iff_aux] using impartialAux_def #align pgame.impartial_def SetTheory.PGame.impartial_def namespace Impartial instance impartial_zero : Impartial 0 := by rw [impartial_def]; dsimp; simp #align pgame.impartial.impartial_zero SetTheory.PGame.Impartial.impartial_zero instance impartial_star : Impartial star := by rw [impartial_def]; simpa using Impartial.impartial_zero #align pgame.impartial.impartial_star SetTheory.PGame.Impartial.impartial_star theorem neg_equiv_self (G : PGame) [h : G.Impartial] : G ≈ -G := (impartial_def.1 h).1 #align pgame.impartial.neg_equiv_self SetTheory.PGame.Impartial.neg_equiv_self -- Porting note: Changed `-⟦G⟧` to `-(⟦G⟧ : Quotient setoid)` @[simp] theorem mk'_neg_equiv_self (G : PGame) [G.Impartial] : -(⟦G⟧ : Quotient setoid) = ⟦G⟧ := Quot.sound (Equiv.symm (neg_equiv_self G)) #align pgame.impartial.mk_neg_equiv_self SetTheory.PGame.Impartial.mk'_neg_equiv_self instance moveLeft_impartial {G : PGame} [h : G.Impartial] (i : G.LeftMoves) : (G.moveLeft i).Impartial := (impartial_def.1 h).2.1 i #align pgame.impartial.move_left_impartial SetTheory.PGame.Impartial.moveLeft_impartial instance moveRight_impartial {G : PGame} [h : G.Impartial] (j : G.RightMoves) : (G.moveRight j).Impartial := (impartial_def.1 h).2.2 j #align pgame.impartial.move_right_impartial SetTheory.PGame.Impartial.moveRight_impartial theorem impartial_congr : ∀ {G H : PGame} (_ : G ≡r H) [G.Impartial], H.Impartial | G, H => fun e => by intro h exact impartial_def.2 ⟨Equiv.trans e.symm.equiv (Equiv.trans (neg_equiv_self G) (neg_equiv_neg_iff.2 e.equiv)), fun i => impartial_congr (e.moveLeftSymm i), fun j => impartial_congr (e.moveRightSymm j)⟩ termination_by G H => (G, H) #align pgame.impartial.impartial_congr SetTheory.PGame.Impartial.impartial_congr instance impartial_add : ∀ (G H : PGame) [G.Impartial] [H.Impartial], (G + H).Impartial | G, H, _, _ => by rw [impartial_def] refine ⟨Equiv.trans (add_congr (neg_equiv_self G) (neg_equiv_self _)) (Equiv.symm (negAddRelabelling _ _).equiv), fun k => ?_, fun k => ?_⟩ · apply leftMoves_add_cases k all_goals intro i; simp only [add_moveLeft_inl, add_moveLeft_inr] apply impartial_add · apply rightMoves_add_cases k all_goals intro i; simp only [add_moveRight_inl, add_moveRight_inr] apply impartial_add termination_by G H => (G, H) #align pgame.impartial.impartial_add SetTheory.PGame.Impartial.impartial_add instance impartial_neg : ∀ (G : PGame) [G.Impartial], (-G).Impartial | G, _ => by rw [impartial_def] refine ⟨?_, fun i => ?_, fun i => ?_⟩ · rw [neg_neg] exact Equiv.symm (neg_equiv_self G) · rw [moveLeft_neg'] apply impartial_neg · rw [moveRight_neg'] apply impartial_neg termination_by G => G #align pgame.impartial.impartial_neg SetTheory.PGame.Impartial.impartial_neg variable (G : PGame) [Impartial G] theorem nonpos : ¬0 < G := fun h => by have h' := neg_lt_neg_iff.2 h rw [neg_zero, lt_congr_left (Equiv.symm (neg_equiv_self G))] at h' exact (h.trans h').false #align pgame.impartial.nonpos SetTheory.PGame.Impartial.nonpos theorem nonneg : ¬G < 0 := fun h => by have h' := neg_lt_neg_iff.2 h rw [neg_zero, lt_congr_right (Equiv.symm (neg_equiv_self G))] at h' exact (h.trans h').false #align pgame.impartial.nonneg SetTheory.PGame.Impartial.nonneg theorem equiv_or_fuzzy_zero : (G ≈ 0) ∨ G ‖ 0 := by rcases lt_or_equiv_or_gt_or_fuzzy G 0 with (h | h | h | h) · exact ((nonneg G) h).elim · exact Or.inl h · exact ((nonpos G) h).elim · exact Or.inr h #align pgame.impartial.equiv_or_fuzzy_zero SetTheory.PGame.Impartial.equiv_or_fuzzy_zero @[simp] theorem not_equiv_zero_iff : ¬(G ≈ 0) ↔ G ‖ 0 := ⟨(equiv_or_fuzzy_zero G).resolve_left, Fuzzy.not_equiv⟩ #align pgame.impartial.not_equiv_zero_iff SetTheory.PGame.Impartial.not_equiv_zero_iff @[simp] theorem not_fuzzy_zero_iff : ¬G ‖ 0 ↔ (G ≈ 0) := ⟨(equiv_or_fuzzy_zero G).resolve_right, Equiv.not_fuzzy⟩ #align pgame.impartial.not_fuzzy_zero_iff SetTheory.PGame.Impartial.not_fuzzy_zero_iff theorem add_self : G + G ≈ 0 := Equiv.trans (add_congr_left (neg_equiv_self G)) (add_left_neg_equiv G) #align pgame.impartial.add_self SetTheory.PGame.Impartial.add_self -- Porting note: Changed `⟦G⟧` to `(⟦G⟧ : Quotient setoid)` @[simp] theorem mk'_add_self : (⟦G⟧ : Quotient setoid) + ⟦G⟧ = 0 := Quot.sound (add_self G) #align pgame.impartial.mk_add_self SetTheory.PGame.Impartial.mk'_add_self theorem equiv_iff_add_equiv_zero (H : PGame) : (H ≈ G) ↔ (H + G ≈ 0) := by rw [Game.PGame.equiv_iff_game_eq, ← @add_right_cancel_iff _ _ _ ⟦G⟧, mk'_add_self, ← quot_add, Game.PGame.equiv_iff_game_eq] rfl #align pgame.impartial.equiv_iff_add_equiv_zero SetTheory.PGame.Impartial.equiv_iff_add_equiv_zero theorem equiv_iff_add_equiv_zero' (H : PGame) : (G ≈ H) ↔ (G + H ≈ 0) := by rw [Game.PGame.equiv_iff_game_eq, ← @add_left_cancel_iff _ _ _ ⟦G⟧, mk'_add_self, ← quot_add, Game.PGame.equiv_iff_game_eq] exact ⟨Eq.symm, Eq.symm⟩ #align pgame.impartial.equiv_iff_add_equiv_zero' SetTheory.PGame.Impartial.equiv_iff_add_equiv_zero' theorem le_zero_iff {G : PGame} [G.Impartial] : G ≤ 0 ↔ 0 ≤ G := by rw [← zero_le_neg_iff, le_congr_right (neg_equiv_self G)] #align pgame.impartial.le_zero_iff SetTheory.PGame.Impartial.le_zero_iff theorem lf_zero_iff {G : PGame} [G.Impartial] : G ⧏ 0 ↔ 0 ⧏ G := by rw [← zero_lf_neg_iff, lf_congr_right (neg_equiv_self G)] #align pgame.impartial.lf_zero_iff SetTheory.PGame.Impartial.lf_zero_iff theorem equiv_zero_iff_le : (G ≈ 0) ↔ G ≤ 0 := ⟨And.left, fun h => ⟨h, le_zero_iff.1 h⟩⟩ #align pgame.impartial.equiv_zero_iff_le SetTheory.PGame.Impartial.equiv_zero_iff_le theorem fuzzy_zero_iff_lf : G ‖ 0 ↔ G ⧏ 0 := ⟨And.left, fun h => ⟨h, lf_zero_iff.1 h⟩⟩ #align pgame.impartial.fuzzy_zero_iff_lf SetTheory.PGame.Impartial.fuzzy_zero_iff_lf theorem equiv_zero_iff_ge : (G ≈ 0) ↔ 0 ≤ G := ⟨And.right, fun h => ⟨le_zero_iff.2 h, h⟩⟩ #align pgame.impartial.equiv_zero_iff_ge SetTheory.PGame.Impartial.equiv_zero_iff_ge theorem fuzzy_zero_iff_gf : G ‖ 0 ↔ 0 ⧏ G := ⟨And.right, fun h => ⟨lf_zero_iff.2 h, h⟩⟩ #align pgame.impartial.fuzzy_zero_iff_gf SetTheory.PGame.Impartial.fuzzy_zero_iff_gf theorem forall_leftMoves_fuzzy_iff_equiv_zero : (∀ i, G.moveLeft i ‖ 0) ↔ (G ≈ 0) := by refine ⟨fun hb => ?_, fun hp i => ?_⟩ · rw [equiv_zero_iff_le G, le_zero_lf] exact fun i => (hb i).1 · rw [fuzzy_zero_iff_lf] exact hp.1.moveLeft_lf i #align pgame.impartial.forall_left_moves_fuzzy_iff_equiv_zero SetTheory.PGame.Impartial.forall_leftMoves_fuzzy_iff_equiv_zero theorem forall_rightMoves_fuzzy_iff_equiv_zero : (∀ j, G.moveRight j ‖ 0) ↔ (G ≈ 0) := by refine ⟨fun hb => ?_, fun hp i => ?_⟩ · rw [equiv_zero_iff_ge G, zero_le_lf] exact fun i => (hb i).2 · rw [fuzzy_zero_iff_gf] exact hp.2.lf_moveRight i #align pgame.impartial.forall_right_moves_fuzzy_iff_equiv_zero SetTheory.PGame.Impartial.forall_rightMoves_fuzzy_iff_equiv_zero
Mathlib/SetTheory/Game/Impartial.lean
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theorem exists_left_move_equiv_iff_fuzzy_zero : (∃ i, G.moveLeft i ≈ 0) ↔ G ‖ 0 := by
refine ⟨fun ⟨i, hi⟩ => (fuzzy_zero_iff_gf G).2 (lf_of_le_moveLeft hi.2), fun hn => ?_⟩ rw [fuzzy_zero_iff_gf G, zero_lf_le] at hn cases' hn with i hi exact ⟨i, (equiv_zero_iff_ge _).2 hi⟩
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' 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] #align mem_closure_iff_comap_ne_bot mem_closure_iff_comap_neBot theorem mem_closure_iff_nhds_basis' {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : x ∈ closure t ↔ ∀ i, p i → (s i ∩ t).Nonempty := mem_closure_iff_clusterPt.trans <| (h.clusterPt_iff (hasBasis_principal _)).trans <| by simp only [exists_prop, forall_const] #align mem_closure_iff_nhds_basis' mem_closure_iff_nhds_basis' theorem mem_closure_iff_nhds_basis {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : x ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i := (mem_closure_iff_nhds_basis' h).trans <| by simp only [Set.Nonempty, mem_inter_iff, exists_prop, and_comm] #align mem_closure_iff_nhds_basis mem_closure_iff_nhds_basis theorem clusterPt_iff_forall_mem_closure {F : Filter X} : ClusterPt x F ↔ ∀ s ∈ F, x ∈ closure s := by simp_rw [ClusterPt, inf_neBot_iff, mem_closure_iff_nhds] rw [forall₂_swap] theorem clusterPt_iff_lift'_closure {F : Filter X} : ClusterPt x F ↔ pure x ≤ (F.lift' closure) := by simp_rw [clusterPt_iff_forall_mem_closure, (hasBasis_pure _).le_basis_iff F.basis_sets.lift'_closure, id, singleton_subset_iff, true_and, exists_const] theorem clusterPt_iff_lift'_closure' {F : Filter X} : ClusterPt x F ↔ (F.lift' closure ⊓ pure x).NeBot := by rw [clusterPt_iff_lift'_closure, ← Ultrafilter.coe_pure, inf_comm, Ultrafilter.inf_neBot_iff] @[simp] theorem clusterPt_lift'_closure_iff {F : Filter X} : ClusterPt x (F.lift' closure) ↔ ClusterPt x F := by simp [clusterPt_iff_lift'_closure, lift'_lift'_assoc (monotone_closure X) (monotone_closure X)] theorem mem_closure_iff_ultrafilter : x ∈ closure s ↔ ∃ u : Ultrafilter X, s ∈ u ∧ ↑u ≤ 𝓝 x := by simp [closure_eq_cluster_pts, ClusterPt, ← exists_ultrafilter_iff, and_comm] #align mem_closure_iff_ultrafilter mem_closure_iff_ultrafilter theorem isClosed_iff_clusterPt : IsClosed s ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s := calc IsClosed s ↔ closure s ⊆ s := closure_subset_iff_isClosed.symm _ ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s := by simp only [subset_def, mem_closure_iff_clusterPt] #align is_closed_iff_cluster_pt isClosed_iff_clusterPt theorem isClosed_iff_ultrafilter : IsClosed s ↔ ∀ x, ∀ u : Ultrafilter X, ↑u ≤ 𝓝 x → s ∈ u → x ∈ s := by simp [isClosed_iff_clusterPt, ClusterPt, ← exists_ultrafilter_iff]
Mathlib/Topology/Basic.lean
1,347
1,349
theorem isClosed_iff_nhds : IsClosed s ↔ ∀ x, (∀ U ∈ 𝓝 x, (U ∩ s).Nonempty) → x ∈ s := by
simp_rw [isClosed_iff_clusterPt, ClusterPt, inf_principal_neBot_iff]
import Mathlib.Algebra.MvPolynomial.Derivation import Mathlib.Algebra.MvPolynomial.Variables #align_import data.mv_polynomial.pderiv from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section universe u v namespace MvPolynomial open Set Function Finsupp variable {R : Type u} {σ : Type v} {a a' a₁ a₂ : R} {s : σ →₀ ℕ} section PDeriv variable [CommSemiring R] def pderiv (i : σ) : Derivation R (MvPolynomial σ R) (MvPolynomial σ R) := letI := Classical.decEq σ mkDerivation R <| Pi.single i 1 #align mv_polynomial.pderiv MvPolynomial.pderiv theorem pderiv_def [DecidableEq σ] (i : σ) : pderiv i = mkDerivation R (Pi.single i 1) := by unfold pderiv; congr! #align mv_polynomial.pderiv_def MvPolynomial.pderiv_def @[simp] theorem pderiv_monomial {i : σ} : pderiv i (monomial s a) = monomial (s - single i 1) (a * s i) := by classical simp only [pderiv_def, mkDerivation_monomial, Finsupp.smul_sum, smul_eq_mul, ← smul_mul_assoc, ← (monomial _).map_smul] refine (Finset.sum_eq_single i (fun j _ hne => ?_) fun hi => ?_).trans ?_ · simp [Pi.single_eq_of_ne hne] · rw [Finsupp.not_mem_support_iff] at hi; simp [hi] · simp #align mv_polynomial.pderiv_monomial MvPolynomial.pderiv_monomial theorem pderiv_C {i : σ} : pderiv i (C a) = 0 := derivation_C _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.pderiv_C MvPolynomial.pderiv_C theorem pderiv_one {i : σ} : pderiv i (1 : MvPolynomial σ R) = 0 := pderiv_C #align mv_polynomial.pderiv_one MvPolynomial.pderiv_one @[simp] theorem pderiv_X [DecidableEq σ] (i j : σ) : pderiv i (X j : MvPolynomial σ R) = Pi.single (f := fun j => _) i 1 j := by rw [pderiv_def, mkDerivation_X] set_option linter.uppercaseLean3 false in #align mv_polynomial.pderiv_X MvPolynomial.pderiv_X @[simp] theorem pderiv_X_self (i : σ) : pderiv i (X i : MvPolynomial σ R) = 1 := by classical simp set_option linter.uppercaseLean3 false in #align mv_polynomial.pderiv_X_self MvPolynomial.pderiv_X_self @[simp] theorem pderiv_X_of_ne {i j : σ} (h : j ≠ i) : pderiv i (X j : MvPolynomial σ R) = 0 := by classical simp [h] set_option linter.uppercaseLean3 false in #align mv_polynomial.pderiv_X_of_ne MvPolynomial.pderiv_X_of_ne theorem pderiv_eq_zero_of_not_mem_vars {i : σ} {f : MvPolynomial σ R} (h : i ∉ f.vars) : pderiv i f = 0 := derivation_eq_zero_of_forall_mem_vars fun _ hj => pderiv_X_of_ne <| ne_of_mem_of_not_mem hj h #align mv_polynomial.pderiv_eq_zero_of_not_mem_vars MvPolynomial.pderiv_eq_zero_of_not_mem_vars
Mathlib/Algebra/MvPolynomial/PDeriv.lean
111
112
theorem pderiv_monomial_single {i : σ} {n : ℕ} : pderiv i (monomial (single i n) a) = monomial (single i (n - 1)) (a * n) := by
simp
import Mathlib.Data.Set.Prod import Mathlib.Logic.Function.Conjugate #align_import data.set.function from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207" variable {α β γ : Type*} {ι : Sort*} {π : α → Type*} open Equiv Equiv.Perm Function namespace Set section Order variable {s : Set α} {f₁ f₂ : α → β} [Preorder α] [Preorder β]
Mathlib/Data/Set/Function.lean
264
267
theorem _root_.MonotoneOn.congr (h₁ : MonotoneOn f₁ s) (h : s.EqOn f₁ f₂) : MonotoneOn f₂ s := by
intro a ha b hb hab rw [← h ha, ← h hb] exact h₁ ha hb hab
import Mathlib.Data.Finset.Fin import Mathlib.Data.Int.Order.Units import Mathlib.GroupTheory.OrderOfElement import Mathlib.GroupTheory.Perm.Support import Mathlib.Logic.Equiv.Fintype #align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u v open Equiv Function Fintype Finset variable {α : Type u} {β : Type v} -- An example on how to determine the order of an element of a finite group. example : orderOf (-1 : ℤˣ) = 2 := orderOf_eq_prime (Int.units_sq _) (by decide) namespace Equiv.Perm theorem perm_inv_on_of_perm_on_finset {s : Finset α} {f : Perm α} (h : ∀ x ∈ s, f x ∈ s) {y : α} (hy : y ∈ s) : f⁻¹ y ∈ s := by have h0 : ∀ y ∈ s, ∃ (x : _) (hx : x ∈ s), y = (fun i (_ : i ∈ s) => f i) x hx := Finset.surj_on_of_inj_on_of_card_le (fun x hx => (fun i _ => f i) x hx) (fun a ha => h a ha) (fun a₁ a₂ ha₁ ha₂ heq => (Equiv.apply_eq_iff_eq f).mp heq) rfl.ge obtain ⟨y2, hy2, heq⟩ := h0 y hy convert hy2 rw [heq] simp only [inv_apply_self] #align equiv.perm.perm_inv_on_of_perm_on_finset Equiv.Perm.perm_inv_on_of_perm_on_finset theorem perm_inv_mapsTo_of_mapsTo (f : Perm α) {s : Set α} [Finite s] (h : Set.MapsTo f s s) : Set.MapsTo (f⁻¹ : _) s s := by cases nonempty_fintype s exact fun x hx => Set.mem_toFinset.mp <| perm_inv_on_of_perm_on_finset (fun a ha => Set.mem_toFinset.mpr (h (Set.mem_toFinset.mp ha))) (Set.mem_toFinset.mpr hx) #align equiv.perm.perm_inv_maps_to_of_maps_to Equiv.Perm.perm_inv_mapsTo_of_mapsTo @[simp] theorem perm_inv_mapsTo_iff_mapsTo {f : Perm α} {s : Set α} [Finite s] : Set.MapsTo (f⁻¹ : _) s s ↔ Set.MapsTo f s s := ⟨perm_inv_mapsTo_of_mapsTo f⁻¹, perm_inv_mapsTo_of_mapsTo f⟩ #align equiv.perm.perm_inv_maps_to_iff_maps_to Equiv.Perm.perm_inv_mapsTo_iff_mapsTo theorem perm_inv_on_of_perm_on_finite {f : Perm α} {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) {x : α} (hx : p x) : p (f⁻¹ x) := -- Porting note: relies heavily on the definitions of `Subtype` and `setOf` unfolding to their -- underlying predicate. have : Finite { x | p x } := ‹_› perm_inv_mapsTo_of_mapsTo (s := {x | p x}) f h hx #align equiv.perm.perm_inv_on_of_perm_on_finite Equiv.Perm.perm_inv_on_of_perm_on_finite abbrev subtypePermOfFintype (f : Perm α) {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) : Perm { x // p x } := f.subtypePerm fun x => ⟨h x, fun h₂ => f.inv_apply_self x ▸ perm_inv_on_of_perm_on_finite h h₂⟩ #align equiv.perm.subtype_perm_of_fintype Equiv.Perm.subtypePermOfFintype @[simp] theorem subtypePermOfFintype_apply (f : Perm α) {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) (x : { x // p x }) : subtypePermOfFintype f h x = ⟨f x, h x x.2⟩ := rfl #align equiv.perm.subtype_perm_of_fintype_apply Equiv.Perm.subtypePermOfFintype_apply theorem subtypePermOfFintype_one (p : α → Prop) [Finite { x // p x }] (h : ∀ x, p x → p ((1 : Perm α) x)) : @subtypePermOfFintype α 1 p _ h = 1 := rfl #align equiv.perm.subtype_perm_of_fintype_one Equiv.Perm.subtypePermOfFintype_one
Mathlib/GroupTheory/Perm/Finite.lean
111
129
theorem perm_mapsTo_inl_iff_mapsTo_inr {m n : Type*} [Finite m] [Finite n] (σ : Perm (Sum m n)) : Set.MapsTo σ (Set.range Sum.inl) (Set.range Sum.inl) ↔ Set.MapsTo σ (Set.range Sum.inr) (Set.range Sum.inr) := by
constructor <;> ( intro h classical rw [← perm_inv_mapsTo_iff_mapsTo] at h intro x cases' hx : σ x with l r) · rintro ⟨a, rfl⟩ obtain ⟨y, hy⟩ := h ⟨l, rfl⟩ rw [← hx, σ.inv_apply_self] at hy exact absurd hy Sum.inl_ne_inr · rintro _; exact ⟨r, rfl⟩ · rintro _; exact ⟨l, rfl⟩ · rintro ⟨a, rfl⟩ obtain ⟨y, hy⟩ := h ⟨r, rfl⟩ rw [← hx, σ.inv_apply_self] at hy exact absurd hy Sum.inr_ne_inl
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Geometry.Euclidean.PerpBisector import Mathlib.Algebra.QuadraticDiscriminant #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open scoped Classical open RealInnerProductSpace namespace EuclideanGeometry variable {V : Type*} {P : Type*} variable [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] theorem dist_left_midpoint_eq_dist_right_midpoint (p1 p2 : P) : dist p1 (midpoint ℝ p1 p2) = dist p2 (midpoint ℝ p1 p2) := by rw [dist_left_midpoint (𝕜 := ℝ) p1 p2, dist_right_midpoint (𝕜 := ℝ) p1 p2] #align euclidean_geometry.dist_left_midpoint_eq_dist_right_midpoint EuclideanGeometry.dist_left_midpoint_eq_dist_right_midpoint theorem inner_weightedVSub {ι₁ : Type*} {s₁ : Finset ι₁} {w₁ : ι₁ → ℝ} (p₁ : ι₁ → P) (h₁ : ∑ i ∈ s₁, w₁ i = 0) {ι₂ : Type*} {s₂ : Finset ι₂} {w₂ : ι₂ → ℝ} (p₂ : ι₂ → P) (h₂ : ∑ i ∈ s₂, w₂ i = 0) : ⟪s₁.weightedVSub p₁ w₁, s₂.weightedVSub p₂ w₂⟫ = (-∑ i₁ ∈ s₁, ∑ i₂ ∈ s₂, w₁ i₁ * w₂ i₂ * (dist (p₁ i₁) (p₂ i₂) * dist (p₁ i₁) (p₂ i₂))) / 2 := by rw [Finset.weightedVSub_apply, Finset.weightedVSub_apply, inner_sum_smul_sum_smul_of_sum_eq_zero _ h₁ _ h₂] simp_rw [vsub_sub_vsub_cancel_right] rcongr (i₁ i₂) <;> rw [dist_eq_norm_vsub V (p₁ i₁) (p₂ i₂)] #align euclidean_geometry.inner_weighted_vsub EuclideanGeometry.inner_weightedVSub theorem dist_affineCombination {ι : Type*} {s : Finset ι} {w₁ w₂ : ι → ℝ} (p : ι → P) (h₁ : ∑ i ∈ s, w₁ i = 1) (h₂ : ∑ i ∈ s, w₂ i = 1) : by have a₁ := s.affineCombination ℝ p w₁ have a₂ := s.affineCombination ℝ p w₂ exact dist a₁ a₂ * dist a₁ a₂ = (-∑ i₁ ∈ s, ∑ i₂ ∈ s, (w₁ - w₂) i₁ * (w₁ - w₂) i₂ * (dist (p i₁) (p i₂) * dist (p i₁) (p i₂))) / 2 := by dsimp only rw [dist_eq_norm_vsub V (s.affineCombination ℝ p w₁) (s.affineCombination ℝ p w₂), ← @inner_self_eq_norm_mul_norm ℝ, Finset.affineCombination_vsub] have h : (∑ i ∈ s, (w₁ - w₂) i) = 0 := by simp_rw [Pi.sub_apply, Finset.sum_sub_distrib, h₁, h₂, sub_self] exact inner_weightedVSub p h p h #align euclidean_geometry.dist_affine_combination EuclideanGeometry.dist_affineCombination -- Porting note: `inner_vsub_vsub_of_dist_eq_of_dist_eq` moved to `PerpendicularBisector` theorem dist_smul_vadd_sq (r : ℝ) (v : V) (p₁ p₂ : P) : dist (r • v +ᵥ p₁) p₂ * dist (r • v +ᵥ p₁) p₂ = ⟪v, v⟫ * r * r + 2 * ⟪v, p₁ -ᵥ p₂⟫ * r + ⟪p₁ -ᵥ p₂, p₁ -ᵥ p₂⟫ := by rw [dist_eq_norm_vsub V _ p₂, ← real_inner_self_eq_norm_mul_norm, vadd_vsub_assoc, real_inner_add_add_self, real_inner_smul_left, real_inner_smul_left, real_inner_smul_right] ring #align euclidean_geometry.dist_smul_vadd_sq EuclideanGeometry.dist_smul_vadd_sq
Mathlib/Geometry/Euclidean/Basic.lean
122
134
theorem dist_smul_vadd_eq_dist {v : V} (p₁ p₂ : P) (hv : v ≠ 0) (r : ℝ) : dist (r • v +ᵥ p₁) p₂ = dist p₁ p₂ ↔ r = 0 ∨ r = -2 * ⟪v, p₁ -ᵥ p₂⟫ / ⟪v, v⟫ := by
conv_lhs => rw [← mul_self_inj_of_nonneg dist_nonneg dist_nonneg, dist_smul_vadd_sq, ← sub_eq_zero, add_sub_assoc, dist_eq_norm_vsub V p₁ p₂, ← real_inner_self_eq_norm_mul_norm, sub_self] have hvi : ⟪v, v⟫ ≠ 0 := by simpa using hv have hd : discrim ⟪v, v⟫ (2 * ⟪v, p₁ -ᵥ p₂⟫) 0 = 2 * ⟪v, p₁ -ᵥ p₂⟫ * (2 * ⟪v, p₁ -ᵥ p₂⟫) := by rw [discrim] ring rw [quadratic_eq_zero_iff hvi hd, add_left_neg, zero_div, neg_mul_eq_neg_mul, ← mul_sub_right_distrib, sub_eq_add_neg, ← mul_two, mul_assoc, mul_div_assoc, mul_div_mul_left, mul_div_assoc] norm_num
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.Calculus.Deriv.Polynomial import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.SpecialFunctions.PolynomialExp #align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Topology open Polynomial Real Filter Set Function open scoped Polynomial def expNegInvGlue (x : ℝ) : ℝ := if x ≤ 0 then 0 else exp (-x⁻¹) #align exp_neg_inv_glue expNegInvGlue namespace expNegInvGlue theorem zero_of_nonpos {x : ℝ} (hx : x ≤ 0) : expNegInvGlue x = 0 := by simp [expNegInvGlue, hx] #align exp_neg_inv_glue.zero_of_nonpos expNegInvGlue.zero_of_nonpos @[simp] -- Porting note (#10756): new lemma protected theorem zero : expNegInvGlue 0 = 0 := zero_of_nonpos le_rfl theorem pos_of_pos {x : ℝ} (hx : 0 < x) : 0 < expNegInvGlue x := by simp [expNegInvGlue, not_le.2 hx, exp_pos] #align exp_neg_inv_glue.pos_of_pos expNegInvGlue.pos_of_pos
Mathlib/Analysis/SpecialFunctions/SmoothTransition.lean
58
61
theorem nonneg (x : ℝ) : 0 ≤ expNegInvGlue x := by
cases le_or_gt x 0 with | inl h => exact ge_of_eq (zero_of_nonpos h) | inr h => exact le_of_lt (pos_of_pos h)
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.Data.Complex.Orientation import Mathlib.Tactic.LinearCombination #align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af" noncomputable section open scoped RealInnerProductSpace ComplexConjugate open FiniteDimensional lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K] [AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V := .of_fact_finrank_eq_succ 1 attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two @[deprecated (since := "2024-02-02")] alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two := FiniteDimensional.of_fact_finrank_eq_two variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)] (o : Orientation ℝ E (Fin 2)) namespace Orientation irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ := AlternatingMap.constLinearEquivOfIsEmpty.symm let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ := LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm #align orientation.area_form Orientation.areaForm local notation "ω" => o.areaForm
Mathlib/Analysis/InnerProductSpace/TwoDim.lean
105
105
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by
simp [areaForm]
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)] #align nat.binomial_eq_choose Nat.binomial_eq_choose theorem binomial_spec [DecidableEq α] (hab : a ≠ b) : (f a)! * (f b)! * multinomial {a, b} f = (f a + f b)! := by simpa [Finset.sum_pair hab, Finset.prod_pair hab] using multinomial_spec {a, b} f #align nat.binomial_spec Nat.binomial_spec @[simp] theorem binomial_one [DecidableEq α] (h : a ≠ b) (h₁ : f a = 1) : multinomial {a, b} f = (f b).succ := by simp [multinomial_insert_one (Finset.not_mem_singleton.mpr h) h₁] #align nat.binomial_one Nat.binomial_one theorem binomial_succ_succ [DecidableEq α] (h : a ≠ b) : multinomial {a, b} (Function.update (Function.update f a (f a).succ) b (f b).succ) = multinomial {a, b} (Function.update f a (f a).succ) + multinomial {a, b} (Function.update f b (f b).succ) := by simp only [binomial_eq_choose, Function.update_apply, h, Ne, ite_true, ite_false, not_false_eq_true] rw [if_neg h.symm] rw [add_succ, choose_succ_succ, succ_add_eq_add_succ] ring #align nat.binomial_succ_succ Nat.binomial_succ_succ theorem succ_mul_binomial [DecidableEq α] (h : a ≠ b) : (f a + f b).succ * multinomial {a, b} f = (f a).succ * multinomial {a, b} (Function.update f a (f a).succ) := by rw [binomial_eq_choose h, binomial_eq_choose h, mul_comm (f a).succ, Function.update_same, Function.update_noteq (ne_comm.mp h)] rw [succ_mul_choose_eq (f a + f b) (f a), succ_add (f a) (f b)] #align nat.succ_mul_binomial Nat.succ_mul_binomial theorem multinomial_univ_two (a b : ℕ) : multinomial Finset.univ ![a, b] = (a + b)! / (a ! * b !) := by rw [multinomial, Fin.sum_univ_two, Fin.prod_univ_two, Matrix.cons_val_zero, Matrix.cons_val_one, Matrix.head_cons] #align nat.multinomial_univ_two Nat.multinomial_univ_two
Mathlib/Data/Nat/Choose/Multinomial.lean
151
154
theorem multinomial_univ_three (a b c : ℕ) : multinomial Finset.univ ![a, b, c] = (a + b + c)! / (a ! * b ! * c !) := by
rw [multinomial, Fin.sum_univ_three, Fin.prod_univ_three] rfl
import Mathlib.Algebra.Order.Ring.Rat import Mathlib.Tactic.NormNum.Inv import Mathlib.Tactic.NormNum.Pow import Mathlib.Util.AtomM set_option autoImplicit true namespace Mathlib.Tactic namespace Ring open Mathlib.Meta Qq NormNum Lean.Meta AtomM open Lean (MetaM Expr mkRawNatLit) def instCommSemiringNat : CommSemiring ℕ := inferInstance def sℕ : Q(CommSemiring ℕ) := q(instCommSemiringNat) -- In this file, we would like to use multi-character auto-implicits. set_option relaxedAutoImplicit true mutual inductive ExBase : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type | atom (id : ℕ) : ExBase sα e | sum (_ : ExSum sα e) : ExBase sα e inductive ExProd : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type | const (value : ℚ) (hyp : Option Expr := none) : ExProd sα e | mul {α : Q(Type u)} {sα : Q(CommSemiring $α)} {x : Q($α)} {e : Q(ℕ)} {b : Q($α)} : ExBase sα x → ExProd sℕ e → ExProd sα b → ExProd sα q($x ^ $e * $b) inductive ExSum : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type | zero {α : Q(Type u)} {sα : Q(CommSemiring $α)} : ExSum sα q(0 : $α) | add {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} : ExProd sα a → ExSum sα b → ExSum sα q($a + $b) end mutual -- partial only to speed up compilation partial def ExBase.eq : ExBase sα a → ExBase sα b → Bool | .atom i, .atom j => i == j | .sum a, .sum b => a.eq b | _, _ => false @[inherit_doc ExBase.eq] partial def ExProd.eq : ExProd sα a → ExProd sα b → Bool | .const i _, .const j _ => i == j | .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => a₁.eq b₁ && a₂.eq b₂ && a₃.eq b₃ | _, _ => false @[inherit_doc ExBase.eq] partial def ExSum.eq : ExSum sα a → ExSum sα b → Bool | .zero, .zero => true | .add a₁ a₂, .add b₁ b₂ => a₁.eq b₁ && a₂.eq b₂ | _, _ => false end mutual -- partial only to speed up compilation partial def ExBase.cmp : ExBase sα a → ExBase sα b → Ordering | .atom i, .atom j => compare i j | .sum a, .sum b => a.cmp b | .atom .., .sum .. => .lt | .sum .., .atom .. => .gt @[inherit_doc ExBase.cmp] partial def ExProd.cmp : ExProd sα a → ExProd sα b → Ordering | .const i _, .const j _ => compare i j | .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => (a₁.cmp b₁).then (a₂.cmp b₂) |>.then (a₃.cmp b₃) | .const _ _, .mul .. => .lt | .mul .., .const _ _ => .gt @[inherit_doc ExBase.cmp] partial def ExSum.cmp : ExSum sα a → ExSum sα b → Ordering | .zero, .zero => .eq | .add a₁ a₂, .add b₁ b₂ => (a₁.cmp b₁).then (a₂.cmp b₂) | .zero, .add .. => .lt | .add .., .zero => .gt end instance : Inhabited (Σ e, (ExBase sα) e) := ⟨default, .atom 0⟩ instance : Inhabited (Σ e, (ExSum sα) e) := ⟨_, .zero⟩ instance : Inhabited (Σ e, (ExProd sα) e) := ⟨default, .const 0 none⟩ mutual partial def ExBase.cast : ExBase sα a → Σ a, ExBase sβ a | .atom i => ⟨a, .atom i⟩ | .sum a => let ⟨_, vb⟩ := a.cast; ⟨_, .sum vb⟩ partial def ExProd.cast : ExProd sα a → Σ a, ExProd sβ a | .const i h => ⟨a, .const i h⟩ | .mul a₁ a₂ a₃ => ⟨_, .mul a₁.cast.2 a₂ a₃.cast.2⟩ partial def ExSum.cast : ExSum sα a → Σ a, ExSum sβ a | .zero => ⟨_, .zero⟩ | .add a₁ a₂ => ⟨_, .add a₁.cast.2 a₂.cast.2⟩ end structure Result {α : Q(Type u)} (E : Q($α) → Type) (e : Q($α)) where expr : Q($α) val : E expr proof : Q($e = $expr) instance [Inhabited (Σ e, E e)] : Inhabited (Result E e) := let ⟨e', v⟩ : Σ e, E e := default; ⟨e', v, default⟩ variable {α : Q(Type u)} (sα : Q(CommSemiring $α)) [CommSemiring R] def ExProd.mkNat (n : ℕ) : (e : Q($α)) × ExProd sα e := let lit : Q(ℕ) := mkRawNatLit n ⟨q(($lit).rawCast : $α), .const n none⟩ def ExProd.mkNegNat (_ : Q(Ring $α)) (n : ℕ) : (e : Q($α)) × ExProd sα e := let lit : Q(ℕ) := mkRawNatLit n ⟨q((Int.negOfNat $lit).rawCast : $α), .const (-n) none⟩ def ExProd.mkRat (_ : Q(DivisionRing $α)) (q : ℚ) (n : Q(ℤ)) (d : Q(ℕ)) (h : Expr) : (e : Q($α)) × ExProd sα e := ⟨q(Rat.rawCast $n $d : $α), .const q h⟩ section variable {sα} def ExBase.toProd (va : ExBase sα a) (vb : ExProd sℕ b) : ExProd sα q($a ^ $b * (nat_lit 1).rawCast) := .mul va vb (.const 1 none) def ExProd.toSum (v : ExProd sα e) : ExSum sα q($e + 0) := .add v .zero def ExProd.coeff : ExProd sα e → ℚ | .const q _ => q | .mul _ _ v => v.coeff end inductive Overlap (e : Q($α)) where | zero (_ : Q(IsNat $e (nat_lit 0))) | nonzero (_ : Result (ExProd sα) e) theorem add_overlap_pf (x : R) (e) (pq_pf : a + b = c) : x ^ e * a + x ^ e * b = x ^ e * c := by subst_vars; simp [mul_add] theorem add_overlap_pf_zero (x : R) (e) : IsNat (a + b) (nat_lit 0) → IsNat (x ^ e * a + x ^ e * b) (nat_lit 0) | ⟨h⟩ => ⟨by simp [h, ← mul_add]⟩ def evalAddOverlap (va : ExProd sα a) (vb : ExProd sα b) : Option (Overlap sα q($a + $b)) := match va, vb with | .const za ha, .const zb hb => do let ra := Result.ofRawRat za a ha; let rb := Result.ofRawRat zb b hb let res ← NormNum.evalAdd.core q($a + $b) q(HAdd.hAdd) a b ra rb match res with | .isNat _ (.lit (.natVal 0)) p => pure <| .zero p | rc => let ⟨zc, hc⟩ ← rc.toRatNZ let ⟨c, pc⟩ := rc.toRawEq pure <| .nonzero ⟨c, .const zc hc, pc⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃, .mul vb₁ vb₂ vb₃ => do guard (va₁.eq vb₁ && va₂.eq vb₂) match ← evalAddOverlap va₃ vb₃ with | .zero p => pure <| .zero (q(add_overlap_pf_zero $a₁ $a₂ $p) : Expr) | .nonzero ⟨_, vc, p⟩ => pure <| .nonzero ⟨_, .mul va₁ va₂ vc, (q(add_overlap_pf $a₁ $a₂ $p) : Expr)⟩ | _, _ => none theorem add_pf_zero_add (b : R) : 0 + b = b := by simp theorem add_pf_add_zero (a : R) : a + 0 = a := by simp theorem add_pf_add_overlap (_ : a₁ + b₁ = c₁) (_ : a₂ + b₂ = c₂) : (a₁ + a₂ : R) + (b₁ + b₂) = c₁ + c₂ := by subst_vars; simp [add_assoc, add_left_comm] theorem add_pf_add_overlap_zero (h : IsNat (a₁ + b₁) (nat_lit 0)) (h₄ : a₂ + b₂ = c) : (a₁ + a₂ : R) + (b₁ + b₂) = c := by subst_vars; rw [add_add_add_comm, h.1, Nat.cast_zero, add_pf_zero_add] theorem add_pf_add_lt (a₁ : R) (_ : a₂ + b = c) : (a₁ + a₂) + b = a₁ + c := by simp [*, add_assoc] theorem add_pf_add_gt (b₁ : R) (_ : a + b₂ = c) : a + (b₁ + b₂) = b₁ + c := by subst_vars; simp [add_left_comm] partial def evalAdd (va : ExSum sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a + $b) := match va, vb with | .zero, vb => ⟨b, vb, q(add_pf_zero_add $b)⟩ | va, .zero => ⟨a, va, q(add_pf_add_zero $a)⟩ | .add (a := a₁) (b := _a₂) va₁ va₂, .add (a := b₁) (b := _b₂) vb₁ vb₂ => match evalAddOverlap sα va₁ vb₁ with | some (.nonzero ⟨_, vc₁, pc₁⟩) => let ⟨_, vc₂, pc₂⟩ := evalAdd va₂ vb₂ ⟨_, .add vc₁ vc₂, q(add_pf_add_overlap $pc₁ $pc₂)⟩ | some (.zero pc₁) => let ⟨c₂, vc₂, pc₂⟩ := evalAdd va₂ vb₂ ⟨c₂, vc₂, q(add_pf_add_overlap_zero $pc₁ $pc₂)⟩ | none => if let .lt := va₁.cmp vb₁ then let ⟨_c, vc, (pc : Q($_a₂ + ($b₁ + $_b₂) = $_c))⟩ := evalAdd va₂ vb ⟨_, .add va₁ vc, q(add_pf_add_lt $a₁ $pc)⟩ else let ⟨_c, vc, (pc : Q($a₁ + $_a₂ + $_b₂ = $_c))⟩ := evalAdd va vb₂ ⟨_, .add vb₁ vc, q(add_pf_add_gt $b₁ $pc)⟩ theorem one_mul (a : R) : (nat_lit 1).rawCast * a = a := by simp [Nat.rawCast] theorem mul_one (a : R) : a * (nat_lit 1).rawCast = a := by simp [Nat.rawCast] theorem mul_pf_left (a₁ : R) (a₂) (_ : a₃ * b = c) : (a₁ ^ a₂ * a₃ : R) * b = a₁ ^ a₂ * c := by subst_vars; rw [mul_assoc] theorem mul_pf_right (b₁ : R) (b₂) (_ : a * b₃ = c) : a * (b₁ ^ b₂ * b₃) = b₁ ^ b₂ * c := by subst_vars; rw [mul_left_comm] theorem mul_pp_pf_overlap (x : R) (_ : ea + eb = e) (_ : a₂ * b₂ = c) : (x ^ ea * a₂ : R) * (x ^ eb * b₂) = x ^ e * c := by subst_vars; simp [pow_add, mul_mul_mul_comm] partial def evalMulProd (va : ExProd sα a) (vb : ExProd sα b) : Result (ExProd sα) q($a * $b) := match va, vb with | .const za ha, .const zb hb => if za = 1 then ⟨b, .const zb hb, (q(one_mul $b) : Expr)⟩ else if zb = 1 then ⟨a, .const za ha, (q(mul_one $a) : Expr)⟩ else let ra := Result.ofRawRat za a ha; let rb := Result.ofRawRat zb b hb let rc := (NormNum.evalMul.core q($a * $b) q(HMul.hMul) _ _ q(CommSemiring.toSemiring) ra rb).get! let ⟨zc, hc⟩ := rc.toRatNZ.get! let ⟨c, pc⟩ := rc.toRawEq ⟨c, .const zc hc, pc⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃, .const _ _ => let ⟨_, vc, pc⟩ := evalMulProd va₃ vb ⟨_, .mul va₁ va₂ vc, (q(mul_pf_left $a₁ $a₂ $pc) : Expr)⟩ | .const _ _, .mul (x := b₁) (e := b₂) vb₁ vb₂ vb₃ => let ⟨_, vc, pc⟩ := evalMulProd va vb₃ ⟨_, .mul vb₁ vb₂ vc, (q(mul_pf_right $b₁ $b₂ $pc) : Expr)⟩ | .mul (x := xa) (e := ea) vxa vea va₂, .mul (x := xb) (e := eb) vxb veb vb₂ => Id.run do if vxa.eq vxb then if let some (.nonzero ⟨_, ve, pe⟩) := evalAddOverlap sℕ vea veb then let ⟨_, vc, pc⟩ := evalMulProd va₂ vb₂ return ⟨_, .mul vxa ve vc, (q(mul_pp_pf_overlap $xa $pe $pc) : Expr)⟩ if let .lt := (vxa.cmp vxb).then (vea.cmp veb) then let ⟨_, vc, pc⟩ := evalMulProd va₂ vb ⟨_, .mul vxa vea vc, (q(mul_pf_left $xa $ea $pc) : Expr)⟩ else let ⟨_, vc, pc⟩ := evalMulProd va vb₂ ⟨_, .mul vxb veb vc, (q(mul_pf_right $xb $eb $pc) : Expr)⟩ theorem mul_zero (a : R) : a * 0 = 0 := by simp theorem mul_add (_ : (a : R) * b₁ = c₁) (_ : a * b₂ = c₂) (_ : c₁ + 0 + c₂ = d) : a * (b₁ + b₂) = d := by subst_vars; simp [_root_.mul_add] def evalMul₁ (va : ExProd sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a * $b) := match vb with | .zero => ⟨_, .zero, q(mul_zero $a)⟩ | .add vb₁ vb₂ => let ⟨_, vc₁, pc₁⟩ := evalMulProd sα va vb₁ let ⟨_, vc₂, pc₂⟩ := evalMul₁ va vb₂ let ⟨_, vd, pd⟩ := evalAdd sα vc₁.toSum vc₂ ⟨_, vd, q(mul_add $pc₁ $pc₂ $pd)⟩ theorem zero_mul (b : R) : 0 * b = 0 := by simp theorem add_mul (_ : (a₁ : R) * b = c₁) (_ : a₂ * b = c₂) (_ : c₁ + c₂ = d) : (a₁ + a₂) * b = d := by subst_vars; simp [_root_.add_mul] def evalMul (va : ExSum sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a * $b) := match va with | .zero => ⟨_, .zero, q(zero_mul $b)⟩ | .add va₁ va₂ => let ⟨_, vc₁, pc₁⟩ := evalMul₁ sα va₁ vb let ⟨_, vc₂, pc₂⟩ := evalMul va₂ vb let ⟨_, vd, pd⟩ := evalAdd sα vc₁ vc₂ ⟨_, vd, q(add_mul $pc₁ $pc₂ $pd)⟩ theorem natCast_nat (n) : ((Nat.rawCast n : ℕ) : R) = Nat.rawCast n := by simp theorem natCast_mul (a₂) (_ : ((a₁ : ℕ) : R) = b₁) (_ : ((a₃ : ℕ) : R) = b₃) : ((a₁ ^ a₂ * a₃ : ℕ) : R) = b₁ ^ a₂ * b₃ := by subst_vars; simp theorem natCast_zero : ((0 : ℕ) : R) = 0 := Nat.cast_zero theorem natCast_add (_ : ((a₁ : ℕ) : R) = b₁) (_ : ((a₂ : ℕ) : R) = b₂) : ((a₁ + a₂ : ℕ) : R) = b₁ + b₂ := by subst_vars; simp mutual partial def ExBase.evalNatCast (va : ExBase sℕ a) : AtomM (Result (ExBase sα) q($a)) := match va with | .atom _ => do let a' : Q($α) := q($a) let i ← addAtom a' pure ⟨a', ExBase.atom i, (q(Eq.refl $a') : Expr)⟩ | .sum va => do let ⟨_, vc, p⟩ ← va.evalNatCast pure ⟨_, .sum vc, p⟩ partial def ExProd.evalNatCast (va : ExProd sℕ a) : AtomM (Result (ExProd sα) q($a)) := match va with | .const c hc => have n : Q(ℕ) := a.appArg! pure ⟨q(Nat.rawCast $n), .const c hc, (q(natCast_nat (R := $α) $n) : Expr)⟩ | .mul (e := a₂) va₁ va₂ va₃ => do let ⟨_, vb₁, pb₁⟩ ← va₁.evalNatCast let ⟨_, vb₃, pb₃⟩ ← va₃.evalNatCast pure ⟨_, .mul vb₁ va₂ vb₃, q(natCast_mul $a₂ $pb₁ $pb₃)⟩ partial def ExSum.evalNatCast (va : ExSum sℕ a) : AtomM (Result (ExSum sα) q($a)) := match va with | .zero => pure ⟨_, .zero, q(natCast_zero (R := $α))⟩ | .add va₁ va₂ => do let ⟨_, vb₁, pb₁⟩ ← va₁.evalNatCast let ⟨_, vb₂, pb₂⟩ ← va₂.evalNatCast pure ⟨_, .add vb₁ vb₂, q(natCast_add $pb₁ $pb₂)⟩ end theorem smul_nat (_ : (a * b : ℕ) = c) : a • b = c := by subst_vars; simp theorem smul_eq_cast (_ : ((a : ℕ) : R) = a') (_ : a' * b = c) : a • b = c := by subst_vars; simp def evalNSMul (va : ExSum sℕ a) (vb : ExSum sα b) : AtomM (Result (ExSum sα) q($a • $b)) := do if ← isDefEq sα sℕ then let ⟨_, va'⟩ := va.cast have _b : Q(ℕ) := b let ⟨(_c : Q(ℕ)), vc, (pc : Q($a * $_b = $_c))⟩ := evalMul sα va' vb pure ⟨_, vc, (q(smul_nat $pc) : Expr)⟩ else let ⟨_, va', pa'⟩ ← va.evalNatCast sα let ⟨_, vc, pc⟩ := evalMul sα va' vb pure ⟨_, vc, (q(smul_eq_cast $pa' $pc) : Expr)⟩ theorem neg_one_mul {R} [Ring R] {a b : R} (_ : (Int.negOfNat (nat_lit 1)).rawCast * a = b) : -a = b := by subst_vars; simp [Int.negOfNat] theorem neg_mul {R} [Ring R] (a₁ : R) (a₂) {a₃ b : R} (_ : -a₃ = b) : -(a₁ ^ a₂ * a₃) = a₁ ^ a₂ * b := by subst_vars; simp def evalNegProd (rα : Q(Ring $α)) (va : ExProd sα a) : Result (ExProd sα) q(-$a) := match va with | .const za ha => let lit : Q(ℕ) := mkRawNatLit 1 let ⟨m1, _⟩ := ExProd.mkNegNat sα rα 1 let rm := Result.isNegNat rα lit (q(IsInt.of_raw $α (.negOfNat $lit)) : Expr) let ra := Result.ofRawRat za a ha let rb := (NormNum.evalMul.core q($m1 * $a) q(HMul.hMul) _ _ q(CommSemiring.toSemiring) rm ra).get! let ⟨zb, hb⟩ := rb.toRatNZ.get! let ⟨b, (pb : Q((Int.negOfNat (nat_lit 1)).rawCast * $a = $b))⟩ := rb.toRawEq ⟨b, .const zb hb, (q(neg_one_mul (R := $α) $pb) : Expr)⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃ => let ⟨_, vb, pb⟩ := evalNegProd rα va₃ ⟨_, .mul va₁ va₂ vb, (q(neg_mul $a₁ $a₂ $pb) : Expr)⟩ theorem neg_zero {R} [Ring R] : -(0 : R) = 0 := by simp theorem neg_add {R} [Ring R] {a₁ a₂ b₁ b₂ : R} (_ : -a₁ = b₁) (_ : -a₂ = b₂) : -(a₁ + a₂) = b₁ + b₂ := by subst_vars; simp [add_comm] def evalNeg (rα : Q(Ring $α)) (va : ExSum sα a) : Result (ExSum sα) q(-$a) := match va with | .zero => ⟨_, .zero, (q(neg_zero (R := $α)) : Expr)⟩ | .add va₁ va₂ => let ⟨_, vb₁, pb₁⟩ := evalNegProd sα rα va₁ let ⟨_, vb₂, pb₂⟩ := evalNeg rα va₂ ⟨_, .add vb₁ vb₂, (q(neg_add $pb₁ $pb₂) : Expr)⟩ theorem sub_pf {R} [Ring R] {a b c d : R} (_ : -b = c) (_ : a + c = d) : a - b = d := by subst_vars; simp [sub_eq_add_neg] def evalSub (rα : Q(Ring $α)) (va : ExSum sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a - $b) := let ⟨_c, vc, pc⟩ := evalNeg sα rα vb let ⟨d, vd, (pd : Q($a + $_c = $d))⟩ := evalAdd sα va vc ⟨d, vd, (q(sub_pf $pc $pd) : Expr)⟩ theorem pow_prod_atom (a : R) (b) : a ^ b = (a + 0) ^ b * (nat_lit 1).rawCast := by simp def evalPowProdAtom (va : ExProd sα a) (vb : ExProd sℕ b) : Result (ExProd sα) q($a ^ $b) := ⟨_, (ExBase.sum va.toSum).toProd vb, q(pow_prod_atom $a $b)⟩ theorem pow_atom (a : R) (b) : a ^ b = a ^ b * (nat_lit 1).rawCast + 0 := by simp def evalPowAtom (va : ExBase sα a) (vb : ExProd sℕ b) : Result (ExSum sα) q($a ^ $b) := ⟨_, (va.toProd vb).toSum, q(pow_atom $a $b)⟩ theorem const_pos (n : ℕ) (h : Nat.ble 1 n = true) : 0 < (n.rawCast : ℕ) := Nat.le_of_ble_eq_true h theorem mul_exp_pos (n) (h₁ : 0 < a₁) (h₂ : 0 < a₂) : 0 < a₁ ^ n * a₂ := Nat.mul_pos (Nat.pos_pow_of_pos _ h₁) h₂ theorem add_pos_left (a₂) (h : 0 < a₁) : 0 < a₁ + a₂ := Nat.lt_of_lt_of_le h (Nat.le_add_right ..) theorem add_pos_right (a₁) (h : 0 < a₂) : 0 < a₁ + a₂ := Nat.lt_of_lt_of_le h (Nat.le_add_left ..) mutual partial def ExBase.evalPos (va : ExBase sℕ a) : Option Q(0 < $a) := match va with | .atom _ => none | .sum va => va.evalPos partial def ExProd.evalPos (va : ExProd sℕ a) : Option Q(0 < $a) := match va with | .const _ _ => -- it must be positive because it is a nonzero nat literal have lit : Q(ℕ) := a.appArg! haveI : $a =Q Nat.rawCast $lit := ⟨⟩ haveI p : Nat.ble 1 $lit =Q true := ⟨⟩ some q(const_pos $lit $p) | .mul (e := ea₁) vxa₁ _ va₂ => do let pa₁ ← vxa₁.evalPos let pa₂ ← va₂.evalPos some q(mul_exp_pos $ea₁ $pa₁ $pa₂) partial def ExSum.evalPos (va : ExSum sℕ a) : Option Q(0 < $a) := match va with | .zero => none | .add (a := a₁) (b := a₂) va₁ va₂ => do match va₁.evalPos with | some p => some q(add_pos_left $a₂ $p) | none => let p ← va₂.evalPos; some q(add_pos_right $a₁ $p) end theorem pow_one (a : R) : a ^ nat_lit 1 = a := by simp theorem pow_bit0 (_ : (a : R) ^ k = b) (_ : b * b = c) : a ^ (Nat.mul (nat_lit 2) k) = c := by subst_vars; simp [Nat.succ_mul, pow_add] theorem pow_bit1 (_ : (a : R) ^ k = b) (_ : b * b = c) (_ : c * a = d) : a ^ (Nat.add (Nat.mul (nat_lit 2) k) (nat_lit 1)) = d := by subst_vars; simp [Nat.succ_mul, pow_add] partial def evalPowNat (va : ExSum sα a) (n : Q(ℕ)) : Result (ExSum sα) q($a ^ $n) := let nn := n.natLit! if nn = 1 then ⟨_, va, (q(pow_one $a) : Expr)⟩ else let nm := nn >>> 1 have m : Q(ℕ) := mkRawNatLit nm if nn &&& 1 = 0 then let ⟨_, vb, pb⟩ := evalPowNat va m let ⟨_, vc, pc⟩ := evalMul sα vb vb ⟨_, vc, (q(pow_bit0 $pb $pc) : Expr)⟩ else let ⟨_, vb, pb⟩ := evalPowNat va m let ⟨_, vc, pc⟩ := evalMul sα vb vb let ⟨_, vd, pd⟩ := evalMul sα vc va ⟨_, vd, (q(pow_bit1 $pb $pc $pd) : Expr)⟩ theorem one_pow (b : ℕ) : ((nat_lit 1).rawCast : R) ^ b = (nat_lit 1).rawCast := by simp theorem mul_pow (_ : ea₁ * b = c₁) (_ : a₂ ^ b = c₂) : (xa₁ ^ ea₁ * a₂ : R) ^ b = xa₁ ^ c₁ * c₂ := by subst_vars; simp [_root_.mul_pow, pow_mul] def evalPowProd (va : ExProd sα a) (vb : ExProd sℕ b) : Result (ExProd sα) q($a ^ $b) := let res : Option (Result (ExProd sα) q($a ^ $b)) := do match va, vb with | .const 1, _ => some ⟨_, va, (q(one_pow (R := $α) $b) : Expr)⟩ | .const za ha, .const zb hb => assert! 0 ≤ zb let ra := Result.ofRawRat za a ha have lit : Q(ℕ) := b.appArg! let rb := (q(IsNat.of_raw ℕ $lit) : Expr) let rc ← NormNum.evalPow.core q($a ^ $b) q(HPow.hPow) q($a) q($b) lit rb q(CommSemiring.toSemiring) ra let ⟨zc, hc⟩ ← rc.toRatNZ let ⟨c, pc⟩ := rc.toRawEq some ⟨c, .const zc hc, pc⟩ | .mul vxa₁ vea₁ va₂, vb => do let ⟨_, vc₁, pc₁⟩ := evalMulProd sℕ vea₁ vb let ⟨_, vc₂, pc₂⟩ := evalPowProd va₂ vb some ⟨_, .mul vxa₁ vc₁ vc₂, q(mul_pow $pc₁ $pc₂)⟩ | _, _ => none res.getD (evalPowProdAtom sα va vb) structure ExtractCoeff (e : Q(ℕ)) where k : Q(ℕ) e' : Q(ℕ) ve' : ExProd sℕ e' p : Q($e = $e' * $k) theorem coeff_one (k : ℕ) : k.rawCast = (nat_lit 1).rawCast * k := by simp theorem coeff_mul (a₁ a₂ : ℕ) (_ : a₃ = c₂ * k) : a₁ ^ a₂ * a₃ = (a₁ ^ a₂ * c₂) * k := by subst_vars; rw [mul_assoc] def extractCoeff (va : ExProd sℕ a) : ExtractCoeff a := match va with | .const _ _ => have k : Q(ℕ) := a.appArg! ⟨k, q((nat_lit 1).rawCast), .const 1, (q(coeff_one $k) : Expr)⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃ => let ⟨k, _, vc, pc⟩ := extractCoeff va₃ ⟨k, _, .mul va₁ va₂ vc, q(coeff_mul $a₁ $a₂ $pc)⟩ theorem pow_one_cast (a : R) : a ^ (nat_lit 1).rawCast = a := by simp theorem zero_pow (_ : 0 < b) : (0 : R) ^ b = 0 := match b with | b+1 => by simp [pow_succ] theorem single_pow (_ : (a : R) ^ b = c) : (a + 0) ^ b = c + 0 := by simp [*] theorem pow_nat (_ : b = c * k) (_ : a ^ c = d) (_ : d ^ k = e) : (a : R) ^ b = e := by subst_vars; simp [pow_mul] partial def evalPow₁ (va : ExSum sα a) (vb : ExProd sℕ b) : Result (ExSum sα) q($a ^ $b) := match va, vb with | va, .const 1 => haveI : $b =Q Nat.rawCast (nat_lit 1) := ⟨⟩ ⟨_, va, q(pow_one_cast $a)⟩ | .zero, vb => match vb.evalPos with | some p => ⟨_, .zero, q(zero_pow (R := $α) $p)⟩ | none => evalPowAtom sα (.sum .zero) vb | ExSum.add va .zero, vb => -- TODO: using `.add` here takes a while to compile? let ⟨_, vc, pc⟩ := evalPowProd sα va vb ⟨_, vc.toSum, q(single_pow $pc)⟩ | va, vb => if vb.coeff > 1 then let ⟨k, _, vc, pc⟩ := extractCoeff vb let ⟨_, vd, pd⟩ := evalPow₁ va vc let ⟨_, ve, pe⟩ := evalPowNat sα vd k ⟨_, ve, q(pow_nat $pc $pd $pe)⟩ else evalPowAtom sα (.sum va) vb theorem pow_zero (a : R) : a ^ 0 = (nat_lit 1).rawCast + 0 := by simp theorem pow_add (_ : a ^ b₁ = c₁) (_ : a ^ b₂ = c₂) (_ : c₁ * c₂ = d) : (a : R) ^ (b₁ + b₂) = d := by subst_vars; simp [_root_.pow_add] def evalPow (va : ExSum sα a) (vb : ExSum sℕ b) : Result (ExSum sα) q($a ^ $b) := match vb with | .zero => ⟨_, (ExProd.mkNat sα 1).2.toSum, q(pow_zero $a)⟩ | .add vb₁ vb₂ => let ⟨_, vc₁, pc₁⟩ := evalPow₁ sα va vb₁ let ⟨_, vc₂, pc₂⟩ := evalPow va vb₂ let ⟨_, vd, pd⟩ := evalMul sα vc₁ vc₂ ⟨_, vd, q(pow_add $pc₁ $pc₂ $pd)⟩ structure Cache {α : Q(Type u)} (sα : Q(CommSemiring $α)) := rα : Option Q(Ring $α) dα : Option Q(DivisionRing $α) czα : Option Q(CharZero $α) def mkCache {α : Q(Type u)} (sα : Q(CommSemiring $α)) : MetaM (Cache sα) := return { rα := (← trySynthInstanceQ q(Ring $α)).toOption dα := (← trySynthInstanceQ q(DivisionRing $α)).toOption czα := (← trySynthInstanceQ q(CharZero $α)).toOption } theorem cast_pos : IsNat (a : R) n → a = n.rawCast + 0 | ⟨e⟩ => by simp [e] theorem cast_zero : IsNat (a : R) (nat_lit 0) → a = 0 | ⟨e⟩ => by simp [e] theorem cast_neg {R} [Ring R] {a : R} : IsInt a (.negOfNat n) → a = (Int.negOfNat n).rawCast + 0 | ⟨e⟩ => by simp [e] theorem cast_rat {R} [DivisionRing R] {a : R} : IsRat a n d → a = Rat.rawCast n d + 0 | ⟨_, e⟩ => by simp [e, div_eq_mul_inv] def evalCast : NormNum.Result e → Option (Result (ExSum sα) e) | .isNat _ (.lit (.natVal 0)) p => do assumeInstancesCommute pure ⟨_, .zero, q(cast_zero $p)⟩ | .isNat _ lit p => do assumeInstancesCommute pure ⟨_, (ExProd.mkNat sα lit.natLit!).2.toSum, (q(cast_pos $p) :)⟩ | .isNegNat rα lit p => pure ⟨_, (ExProd.mkNegNat _ rα lit.natLit!).2.toSum, (q(cast_neg $p) : Expr)⟩ | .isRat dα q n d p => pure ⟨_, (ExProd.mkRat sα dα q n d q(IsRat.den_nz $p)).2.toSum, (q(cast_rat $p) : Expr)⟩ | _ => none theorem toProd_pf (p : (a : R) = a') : a = a' ^ (nat_lit 1).rawCast * (nat_lit 1).rawCast := by simp [*] theorem atom_pf (a : R) : a = a ^ (nat_lit 1).rawCast * (nat_lit 1).rawCast + 0 := by simp
Mathlib/Tactic/Ring/Basic.lean
873
874
theorem atom_pf' (p : (a : R) = a') : a = a' ^ (nat_lit 1).rawCast * (nat_lit 1).rawCast + 0 := by
simp [*]
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Pi.Basic import Mathlib.Order.Fin import Mathlib.Order.PiLex import Mathlib.Order.Interval.Set.Basic #align_import data.fin.tuple.basic from "leanprover-community/mathlib"@"ef997baa41b5c428be3fb50089a7139bf4ee886b" assert_not_exists MonoidWithZero universe u v namespace Fin variable {m n : ℕ} open Function section Tuple example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g := finZeroElim #align fin.tuple0_le Fin.tuple0_le variable {α : Fin (n + 1) → Type u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n) (y : α i.succ) (z : α 0) def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ #align fin.tail Fin.tail theorem tail_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} : (tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ := rfl #align fin.tail_def Fin.tail_def def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j #align fin.cons Fin.cons @[simp] theorem tail_cons : tail (cons x p) = p := by simp (config := { unfoldPartialApp := true }) [tail, cons] #align fin.tail_cons Fin.tail_cons @[simp] theorem cons_succ : cons x p i.succ = p i := by simp [cons] #align fin.cons_succ Fin.cons_succ @[simp] theorem cons_zero : cons x p 0 = x := by simp [cons] #align fin.cons_zero Fin.cons_zero @[simp] theorem cons_one {α : Fin (n + 2) → Type*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) : cons x p 1 = p 0 := by rw [← cons_succ x p]; rfl @[simp] theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by ext j by_cases h : j = 0 · rw [h] simp [Ne.symm (succ_ne_zero i)] · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ] by_cases h' : j' = i · rw [h'] simp · have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj] rw [update_noteq h', update_noteq this, cons_succ] #align fin.cons_update Fin.cons_update theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦ ⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩ #align fin.cons_injective2 Fin.cons_injective2 @[simp] theorem cons_eq_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} : cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y := cons_injective2.eq_iff #align fin.cons_eq_cons Fin.cons_eq_cons theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x := cons_injective2.left _ #align fin.cons_left_injective Fin.cons_left_injective theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) := cons_injective2.right _ #align fin.cons_right_injective Fin.cons_right_injective theorem update_cons_zero : update (cons x p) 0 z = cons z p := by ext j by_cases h : j = 0 · rw [h] simp · simp only [h, update_noteq, Ne, not_false_iff] let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ, cons_succ] #align fin.update_cons_zero Fin.update_cons_zero @[simp, nolint simpNF] -- Porting note: linter claims LHS doesn't simplify theorem cons_self_tail : cons (q 0) (tail q) = q := by ext j by_cases h : j = 0 · rw [h] simp · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this] unfold tail rw [cons_succ] #align fin.cons_self_tail Fin.cons_self_tail -- Porting note: Mathport removes `_root_`? @[elab_as_elim] def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x : ∀ i : Fin n.succ, α i) : P x := _root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x) #align fin.cons_cases Fin.consCases @[simp] theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by rw [consCases, cast_eq] congr #align fin.cons_cases_cons Fin.consCases_cons @[elab_as_elim] def consInduction {α : Type*} {P : ∀ {n : ℕ}, (Fin n → α) → Sort v} (h0 : P Fin.elim0) (h : ∀ {n} (x₀) (x : Fin n → α), P x → P (Fin.cons x₀ x)) : ∀ {n : ℕ} (x : Fin n → α), P x | 0, x => by convert h0 | n + 1, x => consCases (fun x₀ x ↦ h _ _ <| consInduction h0 h _) x #align fin.cons_induction Fin.consInductionₓ -- Porting note: universes theorem cons_injective_of_injective {α} {x₀ : α} {x : Fin n → α} (hx₀ : x₀ ∉ Set.range x) (hx : Function.Injective x) : Function.Injective (cons x₀ x : Fin n.succ → α) := by refine Fin.cases ?_ ?_ · refine Fin.cases ?_ ?_ · intro rfl · intro j h rw [cons_zero, cons_succ] at h exact hx₀.elim ⟨_, h.symm⟩ · intro i refine Fin.cases ?_ ?_ · intro h rw [cons_zero, cons_succ] at h exact hx₀.elim ⟨_, h⟩ · intro j h rw [cons_succ, cons_succ] at h exact congr_arg _ (hx h) #align fin.cons_injective_of_injective Fin.cons_injective_of_injective
Mathlib/Data/Fin/Tuple/Basic.lean
195
201
theorem cons_injective_iff {α} {x₀ : α} {x : Fin n → α} : Function.Injective (cons x₀ x : Fin n.succ → α) ↔ x₀ ∉ Set.range x ∧ Function.Injective x := by
refine ⟨fun h ↦ ⟨?_, ?_⟩, fun h ↦ cons_injective_of_injective h.1 h.2⟩ · rintro ⟨i, hi⟩ replace h := @h i.succ 0 simp [hi, succ_ne_zero] at h · simpa [Function.comp] using h.comp (Fin.succ_injective _)
import Mathlib.CategoryTheory.Elementwise import Mathlib.CategoryTheory.Adjunction.Evaluation import Mathlib.Tactic.CategoryTheory.Elementwise import Mathlib.CategoryTheory.Adhesive import Mathlib.CategoryTheory.Sites.ConcreteSheafification #align_import category_theory.sites.subsheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe w v u open Opposite CategoryTheory namespace CategoryTheory.GrothendieckTopology variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) @[ext] structure Subpresheaf (F : Cᵒᵖ ⥤ Type w) where obj : ∀ U, Set (F.obj U) map : ∀ {U V : Cᵒᵖ} (i : U ⟶ V), obj U ⊆ F.map i ⁻¹' obj V #align category_theory.grothendieck_topology.subpresheaf CategoryTheory.GrothendieckTopology.Subpresheaf variable {F F' F'' : Cᵒᵖ ⥤ Type w} (G G' : Subpresheaf F) instance : PartialOrder (Subpresheaf F) := PartialOrder.lift Subpresheaf.obj Subpresheaf.ext instance : Top (Subpresheaf F) := ⟨⟨fun U => ⊤, @fun U V _ x _ => by aesop_cat⟩⟩ instance : Nonempty (Subpresheaf F) := inferInstance @[simps!] def Subpresheaf.toPresheaf : Cᵒᵖ ⥤ Type w where obj U := G.obj U map := @fun U V i x => ⟨F.map i x, G.map i x.prop⟩ map_id X := by ext ⟨x, _⟩ dsimp simp only [FunctorToTypes.map_id_apply] map_comp := @fun X Y Z i j => by ext ⟨x, _⟩ dsimp simp only [FunctorToTypes.map_comp_apply] #align category_theory.grothendieck_topology.subpresheaf.to_presheaf CategoryTheory.GrothendieckTopology.Subpresheaf.toPresheaf instance {U} : CoeHead (G.toPresheaf.obj U) (F.obj U) where coe := Subtype.val @[simps] def Subpresheaf.ι : G.toPresheaf ⟶ F where app U x := x #align category_theory.grothendieck_topology.subpresheaf.ι CategoryTheory.GrothendieckTopology.Subpresheaf.ι instance : Mono G.ι := ⟨@fun _ f₁ f₂ e => NatTrans.ext f₁ f₂ <| funext fun U => funext fun x => Subtype.ext <| congr_fun (congr_app e U) x⟩ @[simps] def Subpresheaf.homOfLe {G G' : Subpresheaf F} (h : G ≤ G') : G.toPresheaf ⟶ G'.toPresheaf where app U x := ⟨x, h U x.prop⟩ #align category_theory.grothendieck_topology.subpresheaf.hom_of_le CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe instance {G G' : Subpresheaf F} (h : G ≤ G') : Mono (Subpresheaf.homOfLe h) := ⟨fun f₁ f₂ e => NatTrans.ext f₁ f₂ <| funext fun U => funext fun x => Subtype.ext <| (congr_arg Subtype.val <| (congr_fun (congr_app e U) x : _) : _)⟩ @[reassoc (attr := simp)] theorem Subpresheaf.homOfLe_ι {G G' : Subpresheaf F} (h : G ≤ G') : Subpresheaf.homOfLe h ≫ G'.ι = G.ι := by ext rfl #align category_theory.grothendieck_topology.subpresheaf.hom_of_le_ι CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe_ι instance : IsIso (Subpresheaf.ι (⊤ : Subpresheaf F)) := by refine @NatIso.isIso_of_isIso_app _ _ _ _ _ _ _ ?_ intro X rw [isIso_iff_bijective] exact ⟨Subtype.coe_injective, fun x => ⟨⟨x, _root_.trivial⟩, rfl⟩⟩ theorem Subpresheaf.eq_top_iff_isIso : G = ⊤ ↔ IsIso G.ι := by constructor · rintro rfl infer_instance · intro H ext U x apply iff_true_iff.mpr rw [← IsIso.inv_hom_id_apply (G.ι.app U) x] exact ((inv (G.ι.app U)) x).2 #align category_theory.grothendieck_topology.subpresheaf.eq_top_iff_is_iso CategoryTheory.GrothendieckTopology.Subpresheaf.eq_top_iff_isIso @[simps!] def Subpresheaf.lift (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) : F' ⟶ G.toPresheaf where app U x := ⟨f.app U x, hf U x⟩ naturality := by have := elementwise_of% f.naturality intros refine funext fun x => Subtype.ext ?_ simp only [toPresheaf_obj, types_comp_apply] exact this _ _ #align category_theory.grothendieck_topology.subpresheaf.lift CategoryTheory.GrothendieckTopology.Subpresheaf.lift @[reassoc (attr := simp)] theorem Subpresheaf.lift_ι (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) : G.lift f hf ≫ G.ι = f := by ext rfl #align category_theory.grothendieck_topology.subpresheaf.lift_ι CategoryTheory.GrothendieckTopology.Subpresheaf.lift_ι @[simps] def Subpresheaf.sieveOfSection {U : Cᵒᵖ} (s : F.obj U) : Sieve (unop U) where arrows V f := F.map f.op s ∈ G.obj (op V) downward_closed := @fun V W i hi j => by simp only [op_unop, op_comp, FunctorToTypes.map_comp_apply] exact G.map _ hi #align category_theory.grothendieck_topology.subpresheaf.sieve_of_section CategoryTheory.GrothendieckTopology.Subpresheaf.sieveOfSection def Subpresheaf.familyOfElementsOfSection {U : Cᵒᵖ} (s : F.obj U) : (G.sieveOfSection s).1.FamilyOfElements G.toPresheaf := fun _ i hi => ⟨F.map i.op s, hi⟩ #align category_theory.grothendieck_topology.subpresheaf.family_of_elements_of_section CategoryTheory.GrothendieckTopology.Subpresheaf.familyOfElementsOfSection theorem Subpresheaf.family_of_elements_compatible {U : Cᵒᵖ} (s : F.obj U) : (G.familyOfElementsOfSection s).Compatible := by intro Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ e refine Subtype.ext ?_ -- Porting note: `ext1` does not work here change F.map g₁.op (F.map f₁.op s) = F.map g₂.op (F.map f₂.op s) rw [← FunctorToTypes.map_comp_apply, ← FunctorToTypes.map_comp_apply, ← op_comp, ← op_comp, e] #align category_theory.grothendieck_topology.subpresheaf.family_of_elements_compatible CategoryTheory.GrothendieckTopology.Subpresheaf.family_of_elements_compatible theorem Subpresheaf.nat_trans_naturality (f : F' ⟶ G.toPresheaf) {U V : Cᵒᵖ} (i : U ⟶ V) (x : F'.obj U) : (f.app V (F'.map i x)).1 = F.map i (f.app U x).1 := congr_arg Subtype.val (FunctorToTypes.naturality _ _ f i x) #align category_theory.grothendieck_topology.subpresheaf.nat_trans_naturality CategoryTheory.GrothendieckTopology.Subpresheaf.nat_trans_naturality def Subpresheaf.sheafify : Subpresheaf F where obj U := { s | G.sieveOfSection s ∈ J (unop U) } map := by rintro U V i s hs refine J.superset_covering ?_ (J.pullback_stable i.unop hs) intro _ _ h dsimp at h ⊢ rwa [← FunctorToTypes.map_comp_apply] #align category_theory.grothendieck_topology.subpresheaf.sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.sheafify
Mathlib/CategoryTheory/Sites/Subsheaf.lean
193
199
theorem Subpresheaf.le_sheafify : G ≤ G.sheafify J := by
intro U s hs change _ ∈ J _ convert J.top_mem U.unop -- Porting note: `U.unop` can not be inferred now rw [eq_top_iff] rintro V i - exact G.map i.op hs
import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.List.InsertNth import Mathlib.Logic.Relation import Mathlib.Logic.Small.Defs import Mathlib.Order.GameAdd #align_import set_theory.game.pgame from "leanprover-community/mathlib"@"8900d545017cd21961daa2a1734bb658ef52c618" set_option autoImplicit true namespace SetTheory open Function Relation -- We'd like to be able to use multi-character auto-implicits in this file. set_option relaxedAutoImplicit true inductive PGame : Type (u + 1) | mk : ∀ α β : Type u, (α → PGame) → (β → PGame) → PGame #align pgame SetTheory.PGame compile_inductive% PGame namespace PGame def LeftMoves : PGame → Type u | mk l _ _ _ => l #align pgame.left_moves SetTheory.PGame.LeftMoves def RightMoves : PGame → Type u | mk _ r _ _ => r #align pgame.right_moves SetTheory.PGame.RightMoves def moveLeft : ∀ g : PGame, LeftMoves g → PGame | mk _l _ L _ => L #align pgame.move_left SetTheory.PGame.moveLeft def moveRight : ∀ g : PGame, RightMoves g → PGame | mk _ _r _ R => R #align pgame.move_right SetTheory.PGame.moveRight @[simp] theorem leftMoves_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).LeftMoves = xl := rfl #align pgame.left_moves_mk SetTheory.PGame.leftMoves_mk @[simp] theorem moveLeft_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).moveLeft = xL := rfl #align pgame.move_left_mk SetTheory.PGame.moveLeft_mk @[simp] theorem rightMoves_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).RightMoves = xr := rfl #align pgame.right_moves_mk SetTheory.PGame.rightMoves_mk @[simp] theorem moveRight_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).moveRight = xR := rfl #align pgame.move_right_mk SetTheory.PGame.moveRight_mk -- TODO define this at the level of games, as well, and perhaps also for finsets of games. def ofLists (L R : List PGame.{u}) : PGame.{u} := mk (ULift (Fin L.length)) (ULift (Fin R.length)) (fun i => L.get i.down) fun j ↦ R.get j.down #align pgame.of_lists SetTheory.PGame.ofLists theorem leftMoves_ofLists (L R : List PGame) : (ofLists L R).LeftMoves = ULift (Fin L.length) := rfl #align pgame.left_moves_of_lists SetTheory.PGame.leftMoves_ofLists theorem rightMoves_ofLists (L R : List PGame) : (ofLists L R).RightMoves = ULift (Fin R.length) := rfl #align pgame.right_moves_of_lists SetTheory.PGame.rightMoves_ofLists def toOfListsLeftMoves {L R : List PGame} : Fin L.length ≃ (ofLists L R).LeftMoves := ((Equiv.cast (leftMoves_ofLists L R).symm).trans Equiv.ulift).symm #align pgame.to_of_lists_left_moves SetTheory.PGame.toOfListsLeftMoves def toOfListsRightMoves {L R : List PGame} : Fin R.length ≃ (ofLists L R).RightMoves := ((Equiv.cast (rightMoves_ofLists L R).symm).trans Equiv.ulift).symm #align pgame.to_of_lists_right_moves SetTheory.PGame.toOfListsRightMoves theorem ofLists_moveLeft {L R : List PGame} (i : Fin L.length) : (ofLists L R).moveLeft (toOfListsLeftMoves i) = L.get i := rfl #align pgame.of_lists_move_left SetTheory.PGame.ofLists_moveLeft @[simp] theorem ofLists_moveLeft' {L R : List PGame} (i : (ofLists L R).LeftMoves) : (ofLists L R).moveLeft i = L.get (toOfListsLeftMoves.symm i) := rfl #align pgame.of_lists_move_left' SetTheory.PGame.ofLists_moveLeft' theorem ofLists_moveRight {L R : List PGame} (i : Fin R.length) : (ofLists L R).moveRight (toOfListsRightMoves i) = R.get i := rfl #align pgame.of_lists_move_right SetTheory.PGame.ofLists_moveRight @[simp] theorem ofLists_moveRight' {L R : List PGame} (i : (ofLists L R).RightMoves) : (ofLists L R).moveRight i = R.get (toOfListsRightMoves.symm i) := rfl #align pgame.of_lists_move_right' SetTheory.PGame.ofLists_moveRight' @[elab_as_elim] def moveRecOn {C : PGame → Sort*} (x : PGame) (IH : ∀ y : PGame, (∀ i, C (y.moveLeft i)) → (∀ j, C (y.moveRight j)) → C y) : C x := x.recOn fun yl yr yL yR => IH (mk yl yr yL yR) #align pgame.move_rec_on SetTheory.PGame.moveRecOn @[mk_iff] inductive IsOption : PGame → PGame → Prop | moveLeft {x : PGame} (i : x.LeftMoves) : IsOption (x.moveLeft i) x | moveRight {x : PGame} (i : x.RightMoves) : IsOption (x.moveRight i) x #align pgame.is_option SetTheory.PGame.IsOption theorem IsOption.mk_left {xl xr : Type u} (xL : xl → PGame) (xR : xr → PGame) (i : xl) : (xL i).IsOption (mk xl xr xL xR) := @IsOption.moveLeft (mk _ _ _ _) i #align pgame.is_option.mk_left SetTheory.PGame.IsOption.mk_left theorem IsOption.mk_right {xl xr : Type u} (xL : xl → PGame) (xR : xr → PGame) (i : xr) : (xR i).IsOption (mk xl xr xL xR) := @IsOption.moveRight (mk _ _ _ _) i #align pgame.is_option.mk_right SetTheory.PGame.IsOption.mk_right theorem wf_isOption : WellFounded IsOption := ⟨fun x => moveRecOn x fun x IHl IHr => Acc.intro x fun y h => by induction' h with _ i _ j · exact IHl i · exact IHr j⟩ #align pgame.wf_is_option SetTheory.PGame.wf_isOption def Subsequent : PGame → PGame → Prop := TransGen IsOption #align pgame.subsequent SetTheory.PGame.Subsequent instance : IsTrans _ Subsequent := inferInstanceAs <| IsTrans _ (TransGen _) @[trans] theorem Subsequent.trans {x y z} : Subsequent x y → Subsequent y z → Subsequent x z := TransGen.trans #align pgame.subsequent.trans SetTheory.PGame.Subsequent.trans theorem wf_subsequent : WellFounded Subsequent := wf_isOption.transGen #align pgame.wf_subsequent SetTheory.PGame.wf_subsequent instance : WellFoundedRelation PGame := ⟨_, wf_subsequent⟩ @[simp] theorem Subsequent.moveLeft {x : PGame} (i : x.LeftMoves) : Subsequent (x.moveLeft i) x := TransGen.single (IsOption.moveLeft i) #align pgame.subsequent.move_left SetTheory.PGame.Subsequent.moveLeft @[simp] theorem Subsequent.moveRight {x : PGame} (j : x.RightMoves) : Subsequent (x.moveRight j) x := TransGen.single (IsOption.moveRight j) #align pgame.subsequent.move_right SetTheory.PGame.Subsequent.moveRight @[simp] theorem Subsequent.mk_left {xl xr} (xL : xl → PGame) (xR : xr → PGame) (i : xl) : Subsequent (xL i) (mk xl xr xL xR) := @Subsequent.moveLeft (mk _ _ _ _) i #align pgame.subsequent.mk_left SetTheory.PGame.Subsequent.mk_left @[simp] theorem Subsequent.mk_right {xl xr} (xL : xl → PGame) (xR : xr → PGame) (j : xr) : Subsequent (xR j) (mk xl xr xL xR) := @Subsequent.moveRight (mk _ _ _ _) j #align pgame.subsequent.mk_right SetTheory.PGame.Subsequent.mk_right macro "pgame_wf_tac" : tactic => `(tactic| solve_by_elim (config := { maxDepth := 8 }) [Prod.Lex.left, Prod.Lex.right, PSigma.Lex.left, PSigma.Lex.right, Subsequent.moveLeft, Subsequent.moveRight, Subsequent.mk_left, Subsequent.mk_right, Subsequent.trans] ) -- Register some consequences of pgame_wf_tac as simp-lemmas for convenience -- (which are applied by default for WF goals) -- This is different from mk_right from the POV of the simplifier, -- because the unifier can't solve `xr =?= RightMoves (mk xl xr xL xR)` at reducible transparency. @[simp] theorem Subsequent.mk_right' (xL : xl → PGame) (xR : xr → PGame) (j : RightMoves (mk xl xr xL xR)) : Subsequent (xR j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveRight_mk_left (xL : xl → PGame) (j) : Subsequent ((xL i).moveRight j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveRight_mk_right (xR : xr → PGame) (j) : Subsequent ((xR i).moveRight j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveLeft_mk_left (xL : xl → PGame) (j) : Subsequent ((xL i).moveLeft j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveLeft_mk_right (xR : xr → PGame) (j) : Subsequent ((xR i).moveLeft j) (mk xl xr xL xR) := by pgame_wf_tac -- Porting note: linter claims these lemmas don't simplify? open Subsequent in attribute [nolint simpNF] mk_left mk_right mk_right' moveRight_mk_left moveRight_mk_right moveLeft_mk_left moveLeft_mk_right instance : Zero PGame := ⟨⟨PEmpty, PEmpty, PEmpty.elim, PEmpty.elim⟩⟩ @[simp] theorem zero_leftMoves : LeftMoves 0 = PEmpty := rfl #align pgame.zero_left_moves SetTheory.PGame.zero_leftMoves @[simp] theorem zero_rightMoves : RightMoves 0 = PEmpty := rfl #align pgame.zero_right_moves SetTheory.PGame.zero_rightMoves instance isEmpty_zero_leftMoves : IsEmpty (LeftMoves 0) := instIsEmptyPEmpty #align pgame.is_empty_zero_left_moves SetTheory.PGame.isEmpty_zero_leftMoves instance isEmpty_zero_rightMoves : IsEmpty (RightMoves 0) := instIsEmptyPEmpty #align pgame.is_empty_zero_right_moves SetTheory.PGame.isEmpty_zero_rightMoves instance : Inhabited PGame := ⟨0⟩ instance instOnePGame : One PGame := ⟨⟨PUnit, PEmpty, fun _ => 0, PEmpty.elim⟩⟩ @[simp] theorem one_leftMoves : LeftMoves 1 = PUnit := rfl #align pgame.one_left_moves SetTheory.PGame.one_leftMoves @[simp] theorem one_moveLeft (x) : moveLeft 1 x = 0 := rfl #align pgame.one_move_left SetTheory.PGame.one_moveLeft @[simp] theorem one_rightMoves : RightMoves 1 = PEmpty := rfl #align pgame.one_right_moves SetTheory.PGame.one_rightMoves instance uniqueOneLeftMoves : Unique (LeftMoves 1) := PUnit.unique #align pgame.unique_one_left_moves SetTheory.PGame.uniqueOneLeftMoves instance isEmpty_one_rightMoves : IsEmpty (RightMoves 1) := instIsEmptyPEmpty #align pgame.is_empty_one_right_moves SetTheory.PGame.isEmpty_one_rightMoves instance le : LE PGame := ⟨Sym2.GameAdd.fix wf_isOption fun x y le => (∀ i, ¬le y (x.moveLeft i) (Sym2.GameAdd.snd_fst <| IsOption.moveLeft i)) ∧ ∀ j, ¬le (y.moveRight j) x (Sym2.GameAdd.fst_snd <| IsOption.moveRight j)⟩ def LF (x y : PGame) : Prop := ¬y ≤ x #align pgame.lf SetTheory.PGame.LF @[inherit_doc] scoped infixl:50 " ⧏ " => PGame.LF @[simp] protected theorem not_le {x y : PGame} : ¬x ≤ y ↔ y ⧏ x := Iff.rfl #align pgame.not_le SetTheory.PGame.not_le @[simp] theorem not_lf {x y : PGame} : ¬x ⧏ y ↔ y ≤ x := Classical.not_not #align pgame.not_lf SetTheory.PGame.not_lf theorem _root_.LE.le.not_gf {x y : PGame} : x ≤ y → ¬y ⧏ x := not_lf.2 #align has_le.le.not_gf LE.le.not_gf theorem LF.not_ge {x y : PGame} : x ⧏ y → ¬y ≤ x := id #align pgame.lf.not_ge SetTheory.PGame.LF.not_ge theorem le_iff_forall_lf {x y : PGame} : x ≤ y ↔ (∀ i, x.moveLeft i ⧏ y) ∧ ∀ j, x ⧏ y.moveRight j := by unfold LE.le le simp only rw [Sym2.GameAdd.fix_eq] rfl #align pgame.le_iff_forall_lf SetTheory.PGame.le_iff_forall_lf @[simp] theorem mk_le_mk {xl xr xL xR yl yr yL yR} : mk xl xr xL xR ≤ mk yl yr yL yR ↔ (∀ i, xL i ⧏ mk yl yr yL yR) ∧ ∀ j, mk xl xr xL xR ⧏ yR j := le_iff_forall_lf #align pgame.mk_le_mk SetTheory.PGame.mk_le_mk theorem le_of_forall_lf {x y : PGame} (h₁ : ∀ i, x.moveLeft i ⧏ y) (h₂ : ∀ j, x ⧏ y.moveRight j) : x ≤ y := le_iff_forall_lf.2 ⟨h₁, h₂⟩ #align pgame.le_of_forall_lf SetTheory.PGame.le_of_forall_lf theorem lf_iff_exists_le {x y : PGame} : x ⧏ y ↔ (∃ i, x ≤ y.moveLeft i) ∨ ∃ j, x.moveRight j ≤ y := by rw [LF, le_iff_forall_lf, not_and_or] simp #align pgame.lf_iff_exists_le SetTheory.PGame.lf_iff_exists_le @[simp] theorem mk_lf_mk {xl xr xL xR yl yr yL yR} : mk xl xr xL xR ⧏ mk yl yr yL yR ↔ (∃ i, mk xl xr xL xR ≤ yL i) ∨ ∃ j, xR j ≤ mk yl yr yL yR := lf_iff_exists_le #align pgame.mk_lf_mk SetTheory.PGame.mk_lf_mk theorem le_or_gf (x y : PGame) : x ≤ y ∨ y ⧏ x := by rw [← PGame.not_le] apply em #align pgame.le_or_gf SetTheory.PGame.le_or_gf theorem moveLeft_lf_of_le {x y : PGame} (h : x ≤ y) (i) : x.moveLeft i ⧏ y := (le_iff_forall_lf.1 h).1 i #align pgame.move_left_lf_of_le SetTheory.PGame.moveLeft_lf_of_le alias _root_.LE.le.moveLeft_lf := moveLeft_lf_of_le #align has_le.le.move_left_lf LE.le.moveLeft_lf theorem lf_moveRight_of_le {x y : PGame} (h : x ≤ y) (j) : x ⧏ y.moveRight j := (le_iff_forall_lf.1 h).2 j #align pgame.lf_move_right_of_le SetTheory.PGame.lf_moveRight_of_le alias _root_.LE.le.lf_moveRight := lf_moveRight_of_le #align has_le.le.lf_move_right LE.le.lf_moveRight theorem lf_of_moveRight_le {x y : PGame} {j} (h : x.moveRight j ≤ y) : x ⧏ y := lf_iff_exists_le.2 <| Or.inr ⟨j, h⟩ #align pgame.lf_of_move_right_le SetTheory.PGame.lf_of_moveRight_le theorem lf_of_le_moveLeft {x y : PGame} {i} (h : x ≤ y.moveLeft i) : x ⧏ y := lf_iff_exists_le.2 <| Or.inl ⟨i, h⟩ #align pgame.lf_of_le_move_left SetTheory.PGame.lf_of_le_moveLeft theorem lf_of_le_mk {xl xr xL xR y} : mk xl xr xL xR ≤ y → ∀ i, xL i ⧏ y := moveLeft_lf_of_le #align pgame.lf_of_le_mk SetTheory.PGame.lf_of_le_mk theorem lf_of_mk_le {x yl yr yL yR} : x ≤ mk yl yr yL yR → ∀ j, x ⧏ yR j := lf_moveRight_of_le #align pgame.lf_of_mk_le SetTheory.PGame.lf_of_mk_le theorem mk_lf_of_le {xl xr y j} (xL) {xR : xr → PGame} : xR j ≤ y → mk xl xr xL xR ⧏ y := @lf_of_moveRight_le (mk _ _ _ _) y j #align pgame.mk_lf_of_le SetTheory.PGame.mk_lf_of_le theorem lf_mk_of_le {x yl yr} {yL : yl → PGame} (yR) {i} : x ≤ yL i → x ⧏ mk yl yr yL yR := @lf_of_le_moveLeft x (mk _ _ _ _) i #align pgame.lf_mk_of_le SetTheory.PGame.lf_mk_of_le private theorem le_trans_aux {x y z : PGame} (h₁ : ∀ {i}, y ≤ z → z ≤ x.moveLeft i → y ≤ x.moveLeft i) (h₂ : ∀ {j}, z.moveRight j ≤ x → x ≤ y → z.moveRight j ≤ y) (hxy : x ≤ y) (hyz : y ≤ z) : x ≤ z := le_of_forall_lf (fun i => PGame.not_le.1 fun h => (h₁ hyz h).not_gf <| hxy.moveLeft_lf i) fun j => PGame.not_le.1 fun h => (h₂ h hxy).not_gf <| hyz.lf_moveRight j instance : Preorder PGame := { PGame.le with le_refl := fun x => by induction' x with _ _ _ _ IHl IHr exact le_of_forall_lf (fun i => lf_of_le_moveLeft (IHl i)) fun i => lf_of_moveRight_le (IHr i) le_trans := by suffices ∀ {x y z : PGame}, (x ≤ y → y ≤ z → x ≤ z) ∧ (y ≤ z → z ≤ x → y ≤ x) ∧ (z ≤ x → x ≤ y → z ≤ y) from fun x y z => this.1 intro x y z induction' x with xl xr xL xR IHxl IHxr generalizing y z induction' y with yl yr yL yR IHyl IHyr generalizing z induction' z with zl zr zL zR IHzl IHzr exact ⟨le_trans_aux (fun {i} => (IHxl i).2.1) fun {j} => (IHzr j).2.2, le_trans_aux (fun {i} => (IHyl i).2.2) fun {j} => (IHxr j).1, le_trans_aux (fun {i} => (IHzl i).1) fun {j} => (IHyr j).2.1⟩ lt := fun x y => x ≤ y ∧ x ⧏ y } theorem lt_iff_le_and_lf {x y : PGame} : x < y ↔ x ≤ y ∧ x ⧏ y := Iff.rfl #align pgame.lt_iff_le_and_lf SetTheory.PGame.lt_iff_le_and_lf theorem lt_of_le_of_lf {x y : PGame} (h₁ : x ≤ y) (h₂ : x ⧏ y) : x < y := ⟨h₁, h₂⟩ #align pgame.lt_of_le_of_lf SetTheory.PGame.lt_of_le_of_lf theorem lf_of_lt {x y : PGame} (h : x < y) : x ⧏ y := h.2 #align pgame.lf_of_lt SetTheory.PGame.lf_of_lt alias _root_.LT.lt.lf := lf_of_lt #align has_lt.lt.lf LT.lt.lf theorem lf_irrefl (x : PGame) : ¬x ⧏ x := le_rfl.not_gf #align pgame.lf_irrefl SetTheory.PGame.lf_irrefl instance : IsIrrefl _ (· ⧏ ·) := ⟨lf_irrefl⟩ @[trans] theorem lf_of_le_of_lf {x y z : PGame} (h₁ : x ≤ y) (h₂ : y ⧏ z) : x ⧏ z := by rw [← PGame.not_le] at h₂ ⊢ exact fun h₃ => h₂ (h₃.trans h₁) #align pgame.lf_of_le_of_lf SetTheory.PGame.lf_of_le_of_lf -- Porting note (#10754): added instance instance : Trans (· ≤ ·) (· ⧏ ·) (· ⧏ ·) := ⟨lf_of_le_of_lf⟩ @[trans] theorem lf_of_lf_of_le {x y z : PGame} (h₁ : x ⧏ y) (h₂ : y ≤ z) : x ⧏ z := by rw [← PGame.not_le] at h₁ ⊢ exact fun h₃ => h₁ (h₂.trans h₃) #align pgame.lf_of_lf_of_le SetTheory.PGame.lf_of_lf_of_le -- Porting note (#10754): added instance instance : Trans (· ⧏ ·) (· ≤ ·) (· ⧏ ·) := ⟨lf_of_lf_of_le⟩ alias _root_.LE.le.trans_lf := lf_of_le_of_lf #align has_le.le.trans_lf LE.le.trans_lf alias LF.trans_le := lf_of_lf_of_le #align pgame.lf.trans_le SetTheory.PGame.LF.trans_le @[trans] theorem lf_of_lt_of_lf {x y z : PGame} (h₁ : x < y) (h₂ : y ⧏ z) : x ⧏ z := h₁.le.trans_lf h₂ #align pgame.lf_of_lt_of_lf SetTheory.PGame.lf_of_lt_of_lf @[trans] theorem lf_of_lf_of_lt {x y z : PGame} (h₁ : x ⧏ y) (h₂ : y < z) : x ⧏ z := h₁.trans_le h₂.le #align pgame.lf_of_lf_of_lt SetTheory.PGame.lf_of_lf_of_lt alias _root_.LT.lt.trans_lf := lf_of_lt_of_lf #align has_lt.lt.trans_lf LT.lt.trans_lf alias LF.trans_lt := lf_of_lf_of_lt #align pgame.lf.trans_lt SetTheory.PGame.LF.trans_lt theorem moveLeft_lf {x : PGame} : ∀ i, x.moveLeft i ⧏ x := le_rfl.moveLeft_lf #align pgame.move_left_lf SetTheory.PGame.moveLeft_lf theorem lf_moveRight {x : PGame} : ∀ j, x ⧏ x.moveRight j := le_rfl.lf_moveRight #align pgame.lf_move_right SetTheory.PGame.lf_moveRight theorem lf_mk {xl xr} (xL : xl → PGame) (xR : xr → PGame) (i) : xL i ⧏ mk xl xr xL xR := @moveLeft_lf (mk _ _ _ _) i #align pgame.lf_mk SetTheory.PGame.lf_mk theorem mk_lf {xl xr} (xL : xl → PGame) (xR : xr → PGame) (j) : mk xl xr xL xR ⧏ xR j := @lf_moveRight (mk _ _ _ _) j #align pgame.mk_lf SetTheory.PGame.mk_lf theorem le_of_forall_lt {x y : PGame} (h₁ : ∀ i, x.moveLeft i < y) (h₂ : ∀ j, x < y.moveRight j) : x ≤ y := le_of_forall_lf (fun i => (h₁ i).lf) fun i => (h₂ i).lf #align pgame.le_of_forall_lt SetTheory.PGame.le_of_forall_lt theorem le_def {x y : PGame} : x ≤ y ↔ (∀ i, (∃ i', x.moveLeft i ≤ y.moveLeft i') ∨ ∃ j, (x.moveLeft i).moveRight j ≤ y) ∧ ∀ j, (∃ i, x ≤ (y.moveRight j).moveLeft i) ∨ ∃ j', x.moveRight j' ≤ y.moveRight j := by rw [le_iff_forall_lf] conv => lhs simp only [lf_iff_exists_le] #align pgame.le_def SetTheory.PGame.le_def theorem lf_def {x y : PGame} : x ⧏ y ↔ (∃ i, (∀ i', x.moveLeft i' ⧏ y.moveLeft i) ∧ ∀ j, x ⧏ (y.moveLeft i).moveRight j) ∨ ∃ j, (∀ i, (x.moveRight j).moveLeft i ⧏ y) ∧ ∀ j', x.moveRight j ⧏ y.moveRight j' := by rw [lf_iff_exists_le] conv => lhs simp only [le_iff_forall_lf] #align pgame.lf_def SetTheory.PGame.lf_def theorem zero_le_lf {x : PGame} : 0 ≤ x ↔ ∀ j, 0 ⧏ x.moveRight j := by rw [le_iff_forall_lf] simp #align pgame.zero_le_lf SetTheory.PGame.zero_le_lf theorem le_zero_lf {x : PGame} : x ≤ 0 ↔ ∀ i, x.moveLeft i ⧏ 0 := by rw [le_iff_forall_lf] simp #align pgame.le_zero_lf SetTheory.PGame.le_zero_lf
Mathlib/SetTheory/Game/PGame.lean
659
661
theorem zero_lf_le {x : PGame} : 0 ⧏ x ↔ ∃ i, 0 ≤ x.moveLeft i := by
rw [lf_iff_exists_le] simp
import Mathlib.Algebra.Polynomial.Roots import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Asymptotics.SpecificAsymptotics #align_import analysis.special_functions.polynomials from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Finset Asymptotics open Asymptotics Polynomial Topology namespace Polynomial variable {𝕜 : Type*} [NormedLinearOrderedField 𝕜] (P Q : 𝕜[X]) theorem eventually_no_roots (hP : P ≠ 0) : ∀ᶠ x in atTop, ¬P.IsRoot x := atTop_le_cofinite <| (finite_setOf_isRoot hP).compl_mem_cofinite #align polynomial.eventually_no_roots Polynomial.eventually_no_roots variable [OrderTopology 𝕜] section PolynomialAtTop theorem isEquivalent_atTop_lead : (fun x => eval x P) ~[atTop] fun x => P.leadingCoeff * x ^ P.natDegree := by by_cases h : P = 0 · simp [h, IsEquivalent.refl] · simp only [Polynomial.eval_eq_sum_range, sum_range_succ] exact IsLittleO.add_isEquivalent (IsLittleO.sum fun i hi => IsLittleO.const_mul_left ((IsLittleO.const_mul_right fun hz => h <| leadingCoeff_eq_zero.mp hz) <| isLittleO_pow_pow_atTop_of_lt (mem_range.mp hi)) _) IsEquivalent.refl #align polynomial.is_equivalent_at_top_lead Polynomial.isEquivalent_atTop_lead theorem tendsto_atTop_of_leadingCoeff_nonneg (hdeg : 0 < P.degree) (hnng : 0 ≤ P.leadingCoeff) : Tendsto (fun x => eval x P) atTop atTop := P.isEquivalent_atTop_lead.symm.tendsto_atTop <| tendsto_const_mul_pow_atTop (natDegree_pos_iff_degree_pos.2 hdeg).ne' <| hnng.lt_of_ne' <| leadingCoeff_ne_zero.mpr <| ne_zero_of_degree_gt hdeg #align polynomial.tendsto_at_top_of_leading_coeff_nonneg Polynomial.tendsto_atTop_of_leadingCoeff_nonneg theorem tendsto_atTop_iff_leadingCoeff_nonneg : Tendsto (fun x => eval x P) atTop atTop ↔ 0 < P.degree ∧ 0 ≤ P.leadingCoeff := by refine ⟨fun h => ?_, fun h => tendsto_atTop_of_leadingCoeff_nonneg P h.1 h.2⟩ have : Tendsto (fun x => P.leadingCoeff * x ^ P.natDegree) atTop atTop := (isEquivalent_atTop_lead P).tendsto_atTop h rw [tendsto_const_mul_pow_atTop_iff, ← pos_iff_ne_zero, natDegree_pos_iff_degree_pos] at this exact ⟨this.1, this.2.le⟩ #align polynomial.tendsto_at_top_iff_leading_coeff_nonneg Polynomial.tendsto_atTop_iff_leadingCoeff_nonneg theorem tendsto_atBot_iff_leadingCoeff_nonpos : Tendsto (fun x => eval x P) atTop atBot ↔ 0 < P.degree ∧ P.leadingCoeff ≤ 0 := by simp only [← tendsto_neg_atTop_iff, ← eval_neg, tendsto_atTop_iff_leadingCoeff_nonneg, degree_neg, leadingCoeff_neg, neg_nonneg] #align polynomial.tendsto_at_bot_iff_leading_coeff_nonpos Polynomial.tendsto_atBot_iff_leadingCoeff_nonpos theorem tendsto_atBot_of_leadingCoeff_nonpos (hdeg : 0 < P.degree) (hnps : P.leadingCoeff ≤ 0) : Tendsto (fun x => eval x P) atTop atBot := P.tendsto_atBot_iff_leadingCoeff_nonpos.2 ⟨hdeg, hnps⟩ #align polynomial.tendsto_at_bot_of_leading_coeff_nonpos Polynomial.tendsto_atBot_of_leadingCoeff_nonpos
Mathlib/Analysis/SpecialFunctions/Polynomials.lean
84
88
theorem abs_tendsto_atTop (hdeg : 0 < P.degree) : Tendsto (fun x => abs <| eval x P) atTop atTop := by
rcases le_total 0 P.leadingCoeff with hP | hP · exact tendsto_abs_atTop_atTop.comp (P.tendsto_atTop_of_leadingCoeff_nonneg hdeg hP) · exact tendsto_abs_atBot_atTop.comp (P.tendsto_atBot_of_leadingCoeff_nonpos hdeg hP)
import Mathlib.RingTheory.Valuation.Basic import Mathlib.NumberTheory.Padics.PadicNorm import Mathlib.Analysis.Normed.Field.Basic #align_import number_theory.padics.padic_numbers from "leanprover-community/mathlib"@"b9b2114f7711fec1c1e055d507f082f8ceb2c3b7" noncomputable section open scoped Classical open Nat multiplicity padicNorm CauSeq CauSeq.Completion Metric abbrev PadicSeq (p : ℕ) := CauSeq _ (padicNorm p) #align padic_seq PadicSeq namespace PadicSeq section variable {p : ℕ} [Fact p.Prime] theorem stationary {f : CauSeq ℚ (padicNorm p)} (hf : ¬f ≈ 0) : ∃ N, ∀ m n, N ≤ m → N ≤ n → padicNorm p (f n) = padicNorm p (f m) := have : ∃ ε > 0, ∃ N1, ∀ j ≥ N1, ε ≤ padicNorm p (f j) := CauSeq.abv_pos_of_not_limZero <| not_limZero_of_not_congr_zero hf let ⟨ε, hε, N1, hN1⟩ := this let ⟨N2, hN2⟩ := CauSeq.cauchy₂ f hε ⟨max N1 N2, fun n m hn hm ↦ by have : padicNorm p (f n - f m) < ε := hN2 _ (max_le_iff.1 hn).2 _ (max_le_iff.1 hm).2 have : padicNorm p (f n - f m) < padicNorm p (f n) := lt_of_lt_of_le this <| hN1 _ (max_le_iff.1 hn).1 have : padicNorm p (f n - f m) < max (padicNorm p (f n)) (padicNorm p (f m)) := lt_max_iff.2 (Or.inl this) by_contra hne rw [← padicNorm.neg (f m)] at hne have hnam := add_eq_max_of_ne hne rw [padicNorm.neg, max_comm] at hnam rw [← hnam, sub_eq_add_neg, add_comm] at this apply _root_.lt_irrefl _ this⟩ #align padic_seq.stationary PadicSeq.stationary def stationaryPoint {f : PadicSeq p} (hf : ¬f ≈ 0) : ℕ := Classical.choose <| stationary hf #align padic_seq.stationary_point PadicSeq.stationaryPoint theorem stationaryPoint_spec {f : PadicSeq p} (hf : ¬f ≈ 0) : ∀ {m n}, stationaryPoint hf ≤ m → stationaryPoint hf ≤ n → padicNorm p (f n) = padicNorm p (f m) := @(Classical.choose_spec <| stationary hf) #align padic_seq.stationary_point_spec PadicSeq.stationaryPoint_spec def norm (f : PadicSeq p) : ℚ := if hf : f ≈ 0 then 0 else padicNorm p (f (stationaryPoint hf)) #align padic_seq.norm PadicSeq.norm theorem norm_zero_iff (f : PadicSeq p) : f.norm = 0 ↔ f ≈ 0 := by constructor · intro h by_contra hf unfold norm at h split_ifs at h · contradiction apply hf intro ε hε exists stationaryPoint hf intro j hj have heq := stationaryPoint_spec hf le_rfl hj simpa [h, heq] · intro h simp [norm, h] #align padic_seq.norm_zero_iff PadicSeq.norm_zero_iff end section Embedding open CauSeq variable {p : ℕ} [Fact p.Prime] theorem equiv_zero_of_val_eq_of_equiv_zero {f g : PadicSeq p} (h : ∀ k, padicNorm p (f k) = padicNorm p (g k)) (hf : f ≈ 0) : g ≈ 0 := fun ε hε ↦ let ⟨i, hi⟩ := hf _ hε ⟨i, fun j hj ↦ by simpa [h] using hi _ hj⟩ #align padic_seq.equiv_zero_of_val_eq_of_equiv_zero PadicSeq.equiv_zero_of_val_eq_of_equiv_zero theorem norm_nonzero_of_not_equiv_zero {f : PadicSeq p} (hf : ¬f ≈ 0) : f.norm ≠ 0 := hf ∘ f.norm_zero_iff.1 #align padic_seq.norm_nonzero_of_not_equiv_zero PadicSeq.norm_nonzero_of_not_equiv_zero theorem norm_eq_norm_app_of_nonzero {f : PadicSeq p} (hf : ¬f ≈ 0) : ∃ k, f.norm = padicNorm p k ∧ k ≠ 0 := have heq : f.norm = padicNorm p (f <| stationaryPoint hf) := by simp [norm, hf] ⟨f <| stationaryPoint hf, heq, fun h ↦ norm_nonzero_of_not_equiv_zero hf (by simpa [h] using heq)⟩ #align padic_seq.norm_eq_norm_app_of_nonzero PadicSeq.norm_eq_norm_app_of_nonzero theorem not_limZero_const_of_nonzero {q : ℚ} (hq : q ≠ 0) : ¬LimZero (const (padicNorm p) q) := fun h' ↦ hq <| const_limZero.1 h' #align padic_seq.not_lim_zero_const_of_nonzero PadicSeq.not_limZero_const_of_nonzero theorem not_equiv_zero_const_of_nonzero {q : ℚ} (hq : q ≠ 0) : ¬const (padicNorm p) q ≈ 0 := fun h : LimZero (const (padicNorm p) q - 0) ↦ not_limZero_const_of_nonzero hq <| by simpa using h #align padic_seq.not_equiv_zero_const_of_nonzero PadicSeq.not_equiv_zero_const_of_nonzero theorem norm_nonneg (f : PadicSeq p) : 0 ≤ f.norm := if hf : f ≈ 0 then by simp [hf, norm] else by simp [norm, hf, padicNorm.nonneg] #align padic_seq.norm_nonneg PadicSeq.norm_nonneg
Mathlib/NumberTheory/Padics/PadicNumbers.lean
176
181
theorem lift_index_left_left {f : PadicSeq p} (hf : ¬f ≈ 0) (v2 v3 : ℕ) : padicNorm p (f (stationaryPoint hf)) = padicNorm p (f (max (stationaryPoint hf) (max v2 v3))) := by
apply stationaryPoint_spec hf · apply le_max_left · exact le_rfl
import Mathlib.Topology.Order.LocalExtr import Mathlib.Topology.Order.IntermediateValue import Mathlib.Topology.Support import Mathlib.Topology.Order.IsLUB #align_import topology.algebra.order.compact from "leanprover-community/mathlib"@"3efd324a3a31eaa40c9d5bfc669c4fafee5f9423" open Filter OrderDual TopologicalSpace Function Set open scoped Filter Topology class CompactIccSpace (α : Type*) [TopologicalSpace α] [Preorder α] : Prop where isCompact_Icc : ∀ {a b : α}, IsCompact (Icc a b) #align compact_Icc_space CompactIccSpace export CompactIccSpace (isCompact_Icc) variable {α : Type*} -- Porting note (#10756): new lemma; -- Porting note (#11215): TODO: make it the definition lemma CompactIccSpace.mk' [TopologicalSpace α] [Preorder α] (h : ∀ {a b : α}, a ≤ b → IsCompact (Icc a b)) : CompactIccSpace α where isCompact_Icc {a b} := by_cases h fun hab => by rw [Icc_eq_empty hab]; exact isCompact_empty -- Porting note (#10756): new lemma; -- Porting note (#11215): TODO: drop one `'` lemma CompactIccSpace.mk'' [TopologicalSpace α] [PartialOrder α] (h : ∀ {a b : α}, a < b → IsCompact (Icc a b)) : CompactIccSpace α := .mk' fun hab => hab.eq_or_lt.elim (by rintro rfl; simp) h instance [TopologicalSpace α] [Preorder α] [CompactIccSpace α] : CompactIccSpace (αᵒᵈ) where isCompact_Icc := by intro a b convert isCompact_Icc (α := α) (a := b) (b := a) using 1 exact dual_Icc (α := α) instance (priority := 100) ConditionallyCompleteLinearOrder.toCompactIccSpace (α : Type*) [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] : CompactIccSpace α := by refine .mk'' fun {a b} hlt => ?_ rcases le_or_lt a b with hab | hab swap · simp [hab] refine isCompact_iff_ultrafilter_le_nhds.2 fun f hf => ?_ contrapose! hf rw [le_principal_iff] have hpt : ∀ x ∈ Icc a b, {x} ∉ f := fun x hx hxf => hf x hx ((le_pure_iff.2 hxf).trans (pure_le_nhds x)) set s := { x ∈ Icc a b | Icc a x ∉ f } have hsb : b ∈ upperBounds s := fun x hx => hx.1.2 have sbd : BddAbove s := ⟨b, hsb⟩ have ha : a ∈ s := by simp [s, hpt, hab] rcases hab.eq_or_lt with (rfl | _hlt) · exact ha.2 -- Porting note: the `obtain` below was instead -- `set c := Sup s` -- `have hsc : IsLUB s c := isLUB_csSup ⟨a, ha⟩ sbd` obtain ⟨c, hsc⟩ : ∃ c, IsLUB s c := ⟨sSup s, isLUB_csSup ⟨a, ha⟩ ⟨b, hsb⟩⟩ have hc : c ∈ Icc a b := ⟨hsc.1 ha, hsc.2 hsb⟩ specialize hf c hc have hcs : c ∈ s := by rcases hc.1.eq_or_lt with (rfl | hlt); · assumption refine ⟨hc, fun hcf => hf fun U hU => ?_⟩ rcases (mem_nhdsWithin_Iic_iff_exists_Ioc_subset' hlt).1 (mem_nhdsWithin_of_mem_nhds hU) with ⟨x, hxc, hxU⟩ rcases ((hsc.frequently_mem ⟨a, ha⟩).and_eventually (Ioc_mem_nhdsWithin_Iic ⟨hxc, le_rfl⟩)).exists with ⟨y, ⟨_hyab, hyf⟩, hy⟩ refine mem_of_superset (f.diff_mem_iff.2 ⟨hcf, hyf⟩) (Subset.trans ?_ hxU) rw [diff_subset_iff] exact Subset.trans Icc_subset_Icc_union_Ioc <| union_subset_union Subset.rfl <| Ioc_subset_Ioc_left hy.1.le rcases hc.2.eq_or_lt with (rfl | hlt) · exact hcs.2 exfalso refine hf fun U hU => ?_ rcases (mem_nhdsWithin_Ici_iff_exists_mem_Ioc_Ico_subset hlt).1 (mem_nhdsWithin_of_mem_nhds hU) with ⟨y, hxy, hyU⟩ refine mem_of_superset ?_ hyU; clear! U have hy : y ∈ Icc a b := ⟨hc.1.trans hxy.1.le, hxy.2⟩ by_cases hay : Icc a y ∈ f · refine mem_of_superset (f.diff_mem_iff.2 ⟨f.diff_mem_iff.2 ⟨hay, hcs.2⟩, hpt y hy⟩) ?_ rw [diff_subset_iff, union_comm, Ico_union_right hxy.1.le, diff_subset_iff] exact Icc_subset_Icc_union_Icc · exact ((hsc.1 ⟨hy, hay⟩).not_lt hxy.1).elim #align conditionally_complete_linear_order.to_compact_Icc_space ConditionallyCompleteLinearOrder.toCompactIccSpace instance {ι : Type*} {α : ι → Type*} [∀ i, Preorder (α i)] [∀ i, TopologicalSpace (α i)] [∀ i, CompactIccSpace (α i)] : CompactIccSpace (∀ i, α i) := ⟨fun {a b} => (pi_univ_Icc a b ▸ isCompact_univ_pi) fun _ => isCompact_Icc⟩ instance Pi.compact_Icc_space' {α β : Type*} [Preorder β] [TopologicalSpace β] [CompactIccSpace β] : CompactIccSpace (α → β) := inferInstance #align pi.compact_Icc_space' Pi.compact_Icc_space' instance {α β : Type*} [Preorder α] [TopologicalSpace α] [CompactIccSpace α] [Preorder β] [TopologicalSpace β] [CompactIccSpace β] : CompactIccSpace (α × β) := ⟨fun {a b} => (Icc_prod_eq a b).symm ▸ isCompact_Icc.prod isCompact_Icc⟩ theorem isCompact_uIcc {α : Type*} [LinearOrder α] [TopologicalSpace α] [CompactIccSpace α] {a b : α} : IsCompact (uIcc a b) := isCompact_Icc #align is_compact_uIcc isCompact_uIcc -- See note [lower instance priority] instance (priority := 100) compactSpace_of_completeLinearOrder {α : Type*} [CompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] : CompactSpace α := ⟨by simp only [← Icc_bot_top, isCompact_Icc]⟩ #align compact_space_of_complete_linear_order compactSpace_of_completeLinearOrder section variable {α : Type*} [Preorder α] [TopologicalSpace α] [CompactIccSpace α] instance compactSpace_Icc (a b : α) : CompactSpace (Icc a b) := isCompact_iff_compactSpace.mp isCompact_Icc #align compact_space_Icc compactSpace_Icc end section LinearOrder variable {α β γ : Type*} [LinearOrder α] [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ] theorem IsCompact.exists_isLeast [ClosedIicTopology α] {s : Set α} (hs : IsCompact s) (ne_s : s.Nonempty) : ∃ x, IsLeast s x := by haveI : Nonempty s := ne_s.to_subtype suffices (s ∩ ⋂ x ∈ s, Iic x).Nonempty from ⟨this.choose, this.choose_spec.1, mem_iInter₂.mp this.choose_spec.2⟩ rw [biInter_eq_iInter] by_contra H rw [not_nonempty_iff_eq_empty] at H rcases hs.elim_directed_family_closed (fun x : s => Iic ↑x) (fun x => isClosed_Iic) H (Monotone.directed_ge fun _ _ h => Iic_subset_Iic.mpr h) with ⟨x, hx⟩ exact not_nonempty_iff_eq_empty.mpr hx ⟨x, x.2, le_rfl⟩ #align is_compact.exists_is_least IsCompact.exists_isLeast theorem IsCompact.exists_isGreatest [ClosedIciTopology α] {s : Set α} (hs : IsCompact s) (ne_s : s.Nonempty) : ∃ x, IsGreatest s x := IsCompact.exists_isLeast (α := αᵒᵈ) hs ne_s #align is_compact.exists_is_greatest IsCompact.exists_isGreatest theorem IsCompact.exists_isGLB [ClosedIicTopology α] {s : Set α} (hs : IsCompact s) (ne_s : s.Nonempty) : ∃ x ∈ s, IsGLB s x := (hs.exists_isLeast ne_s).imp (fun x (hx : IsLeast s x) => ⟨hx.1, hx.isGLB⟩) #align is_compact.exists_is_glb IsCompact.exists_isGLB theorem IsCompact.exists_isLUB [ClosedIciTopology α] {s : Set α} (hs : IsCompact s) (ne_s : s.Nonempty) : ∃ x ∈ s, IsLUB s x := IsCompact.exists_isGLB (α := αᵒᵈ) hs ne_s #align is_compact.exists_is_lub IsCompact.exists_isLUB theorem cocompact_le_atBot_atTop [CompactIccSpace α] : cocompact α ≤ atBot ⊔ atTop := by refine fun s hs ↦ mem_cocompact.mpr <| (isEmpty_or_nonempty α).casesOn ?_ ?_ <;> intro · exact ⟨∅, isCompact_empty, fun x _ ↦ (IsEmpty.false x).elim⟩ · obtain ⟨t, ht⟩ := mem_atBot_sets.mp hs.1 obtain ⟨u, hu⟩ := mem_atTop_sets.mp hs.2 refine ⟨Icc t u, isCompact_Icc, fun x hx ↦ ?_⟩ exact (not_and_or.mp hx).casesOn (fun h ↦ ht x (le_of_not_le h)) fun h ↦ hu x (le_of_not_le h) theorem cocompact_le_atBot [OrderTop α] [CompactIccSpace α] : cocompact α ≤ atBot := by refine fun _ hs ↦ mem_cocompact.mpr <| (isEmpty_or_nonempty α).casesOn ?_ ?_ <;> intro · exact ⟨∅, isCompact_empty, fun x _ ↦ (IsEmpty.false x).elim⟩ · obtain ⟨t, ht⟩ := mem_atBot_sets.mp hs refine ⟨Icc t ⊤, isCompact_Icc, fun _ hx ↦ ?_⟩ exact (not_and_or.mp hx).casesOn (fun h ↦ ht _ (le_of_not_le h)) (fun h ↦ (h le_top).elim) theorem cocompact_le_atTop [OrderBot α] [CompactIccSpace α] : cocompact α ≤ atTop := cocompact_le_atBot (α := αᵒᵈ) theorem atBot_le_cocompact [NoMinOrder α] [ClosedIicTopology α] : atBot ≤ cocompact α := by refine fun s hs ↦ ?_ obtain ⟨t, ht, hts⟩ := mem_cocompact.mp hs refine (Set.eq_empty_or_nonempty t).casesOn (fun h_empty ↦ ?_) (fun h_nonempty ↦ ?_) · rewrite [compl_univ_iff.mpr h_empty, univ_subset_iff] at hts convert univ_mem · haveI := h_nonempty.nonempty obtain ⟨a, ha⟩ := ht.exists_isLeast h_nonempty obtain ⟨b, hb⟩ := exists_lt a exact Filter.mem_atBot_sets.mpr ⟨b, fun b' hb' ↦ hts <| Classical.byContradiction fun hc ↦ LT.lt.false <| hb'.trans_lt <| hb.trans_le <| ha.2 (not_not_mem.mp hc)⟩ theorem atTop_le_cocompact [NoMaxOrder α] [ClosedIciTopology α] : atTop ≤ cocompact α := atBot_le_cocompact (α := αᵒᵈ) theorem atBot_atTop_le_cocompact [NoMinOrder α] [NoMaxOrder α] [OrderClosedTopology α] : atBot ⊔ atTop ≤ cocompact α := sup_le atBot_le_cocompact atTop_le_cocompact @[simp 900] theorem cocompact_eq_atBot_atTop [NoMaxOrder α] [NoMinOrder α] [OrderClosedTopology α] [CompactIccSpace α] : cocompact α = atBot ⊔ atTop := cocompact_le_atBot_atTop.antisymm atBot_atTop_le_cocompact @[simp] theorem cocompact_eq_atBot [NoMinOrder α] [OrderTop α] [ClosedIicTopology α] [CompactIccSpace α] : cocompact α = atBot := cocompact_le_atBot.antisymm atBot_le_cocompact @[simp] theorem cocompact_eq_atTop [NoMaxOrder α] [OrderBot α] [ClosedIciTopology α] [CompactIccSpace α] : cocompact α = atTop := cocompact_le_atTop.antisymm atTop_le_cocompact -- Porting note (#10756): new lemma; defeq to the old one but allows us to use dot notation theorem IsCompact.exists_isMinOn [ClosedIicTopology α] {s : Set β} (hs : IsCompact s) (ne_s : s.Nonempty) {f : β → α} (hf : ContinuousOn f s) : ∃ x ∈ s, IsMinOn f s x := by rcases (hs.image_of_continuousOn hf).exists_isLeast (ne_s.image f) with ⟨_, ⟨x, hxs, rfl⟩, hx⟩ exact ⟨x, hxs, forall_mem_image.1 hx⟩ theorem IsCompact.exists_forall_le' [ClosedIicTopology α] [NoMaxOrder α] {f : β → α} {s : Set β} (hs : IsCompact s) (hf : ContinuousOn f s) {a : α} (hf' : ∀ b ∈ s, a < f b) : ∃ a', a < a' ∧ ∀ b ∈ s, a' ≤ f b := by rcases s.eq_empty_or_nonempty with (rfl | hs') · obtain ⟨a', ha'⟩ := exists_gt a exact ⟨a', ha', fun _ a ↦ a.elim⟩ · obtain ⟨x, hx, hx'⟩ := hs.exists_isMinOn hs' hf exact ⟨f x, hf' x hx, hx'⟩ @[deprecated IsCompact.exists_isMinOn (since := "2023-02-06")] theorem IsCompact.exists_forall_le [ClosedIicTopology α] {s : Set β} (hs : IsCompact s) (ne_s : s.Nonempty) {f : β → α} (hf : ContinuousOn f s) : ∃ x ∈ s, ∀ y ∈ s, f x ≤ f y := hs.exists_isMinOn ne_s hf #align is_compact.exists_forall_le IsCompact.exists_forall_le -- Porting note (#10756): new lemma; defeq to the old one but allows us to use dot notation theorem IsCompact.exists_isMaxOn [ClosedIciTopology α] {s : Set β} (hs : IsCompact s) (ne_s : s.Nonempty) {f : β → α} (hf : ContinuousOn f s) : ∃ x ∈ s, IsMaxOn f s x := IsCompact.exists_isMinOn (α := αᵒᵈ) hs ne_s hf @[deprecated IsCompact.exists_isMaxOn (since := "2023-02-06")] theorem IsCompact.exists_forall_ge [ClosedIciTopology α] {s : Set β} (hs : IsCompact s) (ne_s : s.Nonempty) {f : β → α} (hf : ContinuousOn f s) : ∃ x ∈ s, ∀ y ∈ s, f y ≤ f x := IsCompact.exists_isMaxOn hs ne_s hf #align is_compact.exists_forall_ge IsCompact.exists_forall_ge theorem ContinuousOn.exists_isMinOn' [ClosedIicTopology α] {s : Set β} {f : β → α} (hf : ContinuousOn f s) (hsc : IsClosed s) {x₀ : β} (h₀ : x₀ ∈ s) (hc : ∀ᶠ x in cocompact β ⊓ 𝓟 s, f x₀ ≤ f x) : ∃ x ∈ s, IsMinOn f s x := by rcases (hasBasis_cocompact.inf_principal _).eventually_iff.1 hc with ⟨K, hK, hKf⟩ have hsub : insert x₀ (K ∩ s) ⊆ s := insert_subset_iff.2 ⟨h₀, inter_subset_right⟩ obtain ⟨x, hx, hxf⟩ : ∃ x ∈ insert x₀ (K ∩ s), ∀ y ∈ insert x₀ (K ∩ s), f x ≤ f y := ((hK.inter_right hsc).insert x₀).exists_isMinOn (insert_nonempty _ _) (hf.mono hsub) refine ⟨x, hsub hx, fun y hy => ?_⟩ by_cases hyK : y ∈ K exacts [hxf _ (Or.inr ⟨hyK, hy⟩), (hxf _ (Or.inl rfl)).trans (hKf ⟨hyK, hy⟩)] @[deprecated ContinuousOn.exists_isMinOn' (since := "2023-02-06")] theorem ContinuousOn.exists_forall_le' [ClosedIicTopology α] {s : Set β} {f : β → α} (hf : ContinuousOn f s) (hsc : IsClosed s) {x₀ : β} (h₀ : x₀ ∈ s) (hc : ∀ᶠ x in cocompact β ⊓ 𝓟 s, f x₀ ≤ f x) : ∃ x ∈ s, ∀ y ∈ s, f x ≤ f y := hf.exists_isMinOn' hsc h₀ hc #align continuous_on.exists_forall_le' ContinuousOn.exists_forall_le' theorem ContinuousOn.exists_isMaxOn' [ClosedIciTopology α] {s : Set β} {f : β → α} (hf : ContinuousOn f s) (hsc : IsClosed s) {x₀ : β} (h₀ : x₀ ∈ s) (hc : ∀ᶠ x in cocompact β ⊓ 𝓟 s, f x ≤ f x₀) : ∃ x ∈ s, IsMaxOn f s x := ContinuousOn.exists_isMinOn' (α := αᵒᵈ) hf hsc h₀ hc @[deprecated ContinuousOn.exists_isMaxOn' (since := "2023-02-06")] theorem ContinuousOn.exists_forall_ge' [ClosedIciTopology α] {s : Set β} {f : β → α} (hf : ContinuousOn f s) (hsc : IsClosed s) {x₀ : β} (h₀ : x₀ ∈ s) (hc : ∀ᶠ x in cocompact β ⊓ 𝓟 s, f x ≤ f x₀) : ∃ x ∈ s, ∀ y ∈ s, f y ≤ f x := hf.exists_isMaxOn' hsc h₀ hc #align continuous_on.exists_forall_ge' ContinuousOn.exists_forall_ge' theorem Continuous.exists_forall_le' [ClosedIicTopology α] {f : β → α} (hf : Continuous f) (x₀ : β) (h : ∀ᶠ x in cocompact β, f x₀ ≤ f x) : ∃ x : β, ∀ y : β, f x ≤ f y := let ⟨x, _, hx⟩ := hf.continuousOn.exists_isMinOn' isClosed_univ (mem_univ x₀) (by rwa [principal_univ, inf_top_eq]) ⟨x, fun y => hx (mem_univ y)⟩ #align continuous.exists_forall_le' Continuous.exists_forall_le' theorem Continuous.exists_forall_ge' [ClosedIciTopology α] {f : β → α} (hf : Continuous f) (x₀ : β) (h : ∀ᶠ x in cocompact β, f x ≤ f x₀) : ∃ x : β, ∀ y : β, f y ≤ f x := Continuous.exists_forall_le' (α := αᵒᵈ) hf x₀ h #align continuous.exists_forall_ge' Continuous.exists_forall_ge' theorem Continuous.exists_forall_le [ClosedIicTopology α] [Nonempty β] {f : β → α} (hf : Continuous f) (hlim : Tendsto f (cocompact β) atTop) : ∃ x, ∀ y, f x ≤ f y := by inhabit β exact hf.exists_forall_le' default (hlim.eventually <| eventually_ge_atTop _) #align continuous.exists_forall_le Continuous.exists_forall_le theorem Continuous.exists_forall_ge [ClosedIciTopology α] [Nonempty β] {f : β → α} (hf : Continuous f) (hlim : Tendsto f (cocompact β) atBot) : ∃ x, ∀ y, f y ≤ f x := Continuous.exists_forall_le (α := αᵒᵈ) hf hlim #align continuous.exists_forall_ge Continuous.exists_forall_ge @[to_additive "A continuous function with compact support has a global minimum."]
Mathlib/Topology/Algebra/Order/Compact.lean
372
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theorem Continuous.exists_forall_le_of_hasCompactMulSupport [ClosedIicTopology α] [Nonempty β] [One α] {f : β → α} (hf : Continuous f) (h : HasCompactMulSupport f) : ∃ x : β, ∀ y : β, f x ≤ f y := by
obtain ⟨_, ⟨x, rfl⟩, hx⟩ := (h.isCompact_range hf).exists_isLeast (range_nonempty _) rw [mem_lowerBounds, forall_mem_range] at hx exact ⟨x, hx⟩
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.StrictConvexSpace import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import analysis.convex.strict_convex_between from "leanprover-community/mathlib"@"e1730698f86560a342271c0471e4cb72d021aabf" open Metric open scoped Convex variable {V P : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] variable [StrictConvexSpace ℝ V] section PseudoMetricSpace variable [PseudoMetricSpace P] [NormedAddTorsor V P] theorem Sbtw.dist_lt_max_dist (p : P) {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : dist p₂ p < max (dist p₁ p) (dist p₃ p) := by have hp₁p₃ : p₁ -ᵥ p ≠ p₃ -ᵥ p := by simpa using h.left_ne_right rw [Sbtw, ← wbtw_vsub_const_iff p, Wbtw, affineSegment_eq_segment, ← insert_endpoints_openSegment, Set.mem_insert_iff, Set.mem_insert_iff] at h rcases h with ⟨h | h | h, hp₂p₁, hp₂p₃⟩ · rw [vsub_left_cancel_iff] at h exact False.elim (hp₂p₁ h) · rw [vsub_left_cancel_iff] at h exact False.elim (hp₂p₃ h) · rw [openSegment_eq_image, Set.mem_image] at h rcases h with ⟨r, ⟨hr0, hr1⟩, hr⟩ simp_rw [@dist_eq_norm_vsub V, ← hr] exact norm_combo_lt_of_ne (le_max_left _ _) (le_max_right _ _) hp₁p₃ (sub_pos.2 hr1) hr0 (by abel) #align sbtw.dist_lt_max_dist Sbtw.dist_lt_max_dist
Mathlib/Analysis/Convex/StrictConvexBetween.lean
46
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theorem Wbtw.dist_le_max_dist (p : P) {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : dist p₂ p ≤ max (dist p₁ p) (dist p₃ p) := by
by_cases hp₁ : p₂ = p₁; · simp [hp₁] by_cases hp₃ : p₂ = p₃; · simp [hp₃] have hs : Sbtw ℝ p₁ p₂ p₃ := ⟨h, hp₁, hp₃⟩ exact (hs.dist_lt_max_dist _).le
import Mathlib.Algebra.Order.Floor import Mathlib.Algebra.Order.Field.Power import Mathlib.Data.Nat.Log #align_import data.int.log from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" variable {R : Type*} [LinearOrderedSemifield R] [FloorSemiring R] namespace Int def log (b : ℕ) (r : R) : ℤ := if 1 ≤ r then Nat.log b ⌊r⌋₊ else -Nat.clog b ⌈r⁻¹⌉₊ #align int.log Int.log theorem log_of_one_le_right (b : ℕ) {r : R} (hr : 1 ≤ r) : log b r = Nat.log b ⌊r⌋₊ := if_pos hr #align int.log_of_one_le_right Int.log_of_one_le_right theorem log_of_right_le_one (b : ℕ) {r : R} (hr : r ≤ 1) : log b r = -Nat.clog b ⌈r⁻¹⌉₊ := by obtain rfl | hr := hr.eq_or_lt · rw [log, if_pos hr, inv_one, Nat.ceil_one, Nat.floor_one, Nat.log_one_right, Nat.clog_one_right, Int.ofNat_zero, neg_zero] · exact if_neg hr.not_le #align int.log_of_right_le_one Int.log_of_right_le_one @[simp, norm_cast] theorem log_natCast (b : ℕ) (n : ℕ) : log b (n : R) = Nat.log b n := by cases n · simp [log_of_right_le_one] · rw [log_of_one_le_right, Nat.floor_natCast] simp #align int.log_nat_cast Int.log_natCast -- See note [no_index around OfNat.ofNat] @[simp] theorem log_ofNat (b : ℕ) (n : ℕ) [n.AtLeastTwo] : log b (no_index (OfNat.ofNat n : R)) = Nat.log b (OfNat.ofNat n) := log_natCast b n theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (r : R) : log b r = 0 := by rcases le_total 1 r with h | h · rw [log_of_one_le_right _ h, Nat.log_of_left_le_one hb, Int.ofNat_zero] · rw [log_of_right_le_one _ h, Nat.clog_of_left_le_one hb, Int.ofNat_zero, neg_zero] #align int.log_of_left_le_one Int.log_of_left_le_one theorem log_of_right_le_zero (b : ℕ) {r : R} (hr : r ≤ 0) : log b r = 0 := by rw [log_of_right_le_one _ (hr.trans zero_le_one), Nat.clog_of_right_le_one ((Nat.ceil_eq_zero.mpr <| inv_nonpos.2 hr).trans_le zero_le_one), Int.ofNat_zero, neg_zero] #align int.log_of_right_le_zero Int.log_of_right_le_zero theorem zpow_log_le_self {b : ℕ} {r : R} (hb : 1 < b) (hr : 0 < r) : (b : R) ^ log b r ≤ r := by rcases le_total 1 r with hr1 | hr1 · rw [log_of_one_le_right _ hr1] rw [zpow_natCast, ← Nat.cast_pow, ← Nat.le_floor_iff hr.le] exact Nat.pow_log_le_self b (Nat.floor_pos.mpr hr1).ne' · rw [log_of_right_le_one _ hr1, zpow_neg, zpow_natCast, ← Nat.cast_pow] exact inv_le_of_inv_le hr (Nat.ceil_le.1 <| Nat.le_pow_clog hb _) #align int.zpow_log_le_self Int.zpow_log_le_self theorem lt_zpow_succ_log_self {b : ℕ} (hb : 1 < b) (r : R) : r < (b : R) ^ (log b r + 1) := by rcases le_or_lt r 0 with hr | hr · rw [log_of_right_le_zero _ hr, zero_add, zpow_one] exact hr.trans_lt (zero_lt_one.trans_le <| mod_cast hb.le) rcases le_or_lt 1 r with hr1 | hr1 · rw [log_of_one_le_right _ hr1] rw [Int.ofNat_add_one_out, zpow_natCast, ← Nat.cast_pow] apply Nat.lt_of_floor_lt exact Nat.lt_pow_succ_log_self hb _ · rw [log_of_right_le_one _ hr1.le] have hcri : 1 < r⁻¹ := one_lt_inv hr hr1 have : 1 ≤ Nat.clog b ⌈r⁻¹⌉₊ := Nat.succ_le_of_lt (Nat.clog_pos hb <| Nat.one_lt_cast.1 <| hcri.trans_le (Nat.le_ceil _)) rw [neg_add_eq_sub, ← neg_sub, ← Int.ofNat_one, ← Int.ofNat_sub this, zpow_neg, zpow_natCast, lt_inv hr (pow_pos (Nat.cast_pos.mpr <| zero_lt_one.trans hb) _), ← Nat.cast_pow] refine Nat.lt_ceil.1 ?_ exact Nat.pow_pred_clog_lt_self hb <| Nat.one_lt_cast.1 <| hcri.trans_le <| Nat.le_ceil _ #align int.lt_zpow_succ_log_self Int.lt_zpow_succ_log_self @[simp] theorem log_zero_right (b : ℕ) : log b (0 : R) = 0 := log_of_right_le_zero b le_rfl #align int.log_zero_right Int.log_zero_right @[simp] theorem log_one_right (b : ℕ) : log b (1 : R) = 0 := by rw [log_of_one_le_right _ le_rfl, Nat.floor_one, Nat.log_one_right, Int.ofNat_zero] #align int.log_one_right Int.log_one_right -- Porting note: needed to replace b ^ z with (b : R) ^ z in the below
Mathlib/Data/Int/Log.lean
138
145
theorem log_zpow {b : ℕ} (hb : 1 < b) (z : ℤ) : log b ((b : R) ^ z : R) = z := by
obtain ⟨n, rfl | rfl⟩ := Int.eq_nat_or_neg z · rw [log_of_one_le_right _ (one_le_zpow_of_nonneg _ <| Int.natCast_nonneg _), zpow_natCast, ← Nat.cast_pow, Nat.floor_natCast, Nat.log_pow hb] exact mod_cast hb.le · rw [log_of_right_le_one _ (zpow_le_one_of_nonpos _ <| neg_nonpos.mpr (Int.natCast_nonneg _)), zpow_neg, inv_inv, zpow_natCast, ← Nat.cast_pow, Nat.ceil_natCast, Nat.clog_pow _ _ hb] exact mod_cast hb.le
import Mathlib.NumberTheory.NumberField.Basic import Mathlib.RingTheory.FractionalIdeal.Norm import Mathlib.RingTheory.FractionalIdeal.Operations variable (K : Type*) [Field K] [NumberField K] namespace NumberField open scoped nonZeroDivisors section Basis open Module -- This is necessary to avoid several timeouts attribute [local instance 2000] Submodule.module instance (I : FractionalIdeal (𝓞 K)⁰ K) : Module.Free ℤ I := by refine Free.of_equiv (LinearEquiv.restrictScalars ℤ (I.equivNum ?_)).symm exact nonZeroDivisors.coe_ne_zero I.den instance (I : FractionalIdeal (𝓞 K)⁰ K) : Module.Finite ℤ I := by refine Module.Finite.of_surjective (LinearEquiv.restrictScalars ℤ (I.equivNum ?_)).symm.toLinearMap (LinearEquiv.surjective _) exact nonZeroDivisors.coe_ne_zero I.den instance (I : (FractionalIdeal (𝓞 K)⁰ K)ˣ) : IsLocalizedModule ℤ⁰ ((Submodule.subtype (I : Submodule (𝓞 K) K)).restrictScalars ℤ) where map_units x := by rw [← (Algebra.lmul _ _).commutes, Algebra.lmul_isUnit_iff, isUnit_iff_ne_zero, eq_intCast, Int.cast_ne_zero] exact nonZeroDivisors.coe_ne_zero x surj' x := by obtain ⟨⟨a, _, d, hd, rfl⟩, h⟩ := IsLocalization.surj (Algebra.algebraMapSubmonoid (𝓞 K) ℤ⁰) x refine ⟨⟨⟨Ideal.absNorm I.1.num * (algebraMap _ K a), I.1.num_le ?_⟩, d * Ideal.absNorm I.1.num, ?_⟩ , ?_⟩ · simp_rw [FractionalIdeal.val_eq_coe, FractionalIdeal.coe_coeIdeal] refine (IsLocalization.mem_coeSubmodule _ _).mpr ⟨Ideal.absNorm I.1.num * a, ?_, ?_⟩ · exact Ideal.mul_mem_right _ _ I.1.num.absNorm_mem · rw [map_mul, map_natCast] · refine Submonoid.mul_mem _ hd (mem_nonZeroDivisors_of_ne_zero ?_) rw [Nat.cast_ne_zero, ne_eq, Ideal.absNorm_eq_zero_iff] exact FractionalIdeal.num_eq_zero_iff.not.mpr <| Units.ne_zero I · simp_rw [LinearMap.coe_restrictScalars, Submodule.coeSubtype] at h ⊢ rw [← h] simp only [Submonoid.mk_smul, zsmul_eq_mul, Int.cast_mul, Int.cast_natCast, algebraMap_int_eq, eq_intCast, map_intCast] ring exists_of_eq h := ⟨1, by rwa [one_smul, one_smul, ← (Submodule.injective_subtype I.1.coeToSubmodule).eq_iff]⟩ noncomputable def fractionalIdealBasis (I : FractionalIdeal (𝓞 K)⁰ K) : Basis (Free.ChooseBasisIndex ℤ I) ℤ I := Free.chooseBasis ℤ I noncomputable def basisOfFractionalIdeal (I : (FractionalIdeal (𝓞 K)⁰ K)ˣ) : Basis (Free.ChooseBasisIndex ℤ I) ℚ K := (fractionalIdealBasis K I.1).ofIsLocalizedModule ℚ ℤ⁰ ((Submodule.subtype (I : Submodule (𝓞 K) K)).restrictScalars ℤ) theorem basisOfFractionalIdeal_apply (I : (FractionalIdeal (𝓞 K)⁰ K)ˣ) (i : Free.ChooseBasisIndex ℤ I) : basisOfFractionalIdeal K I i = fractionalIdealBasis K I.1 i := (fractionalIdealBasis K I.1).ofIsLocalizedModule_apply ℚ ℤ⁰ _ i
Mathlib/NumberTheory/NumberField/FractionalIdeal.lean
87
90
theorem mem_span_basisOfFractionalIdeal {I : (FractionalIdeal (𝓞 K)⁰ K)ˣ} {x : K} : x ∈ Submodule.span ℤ (Set.range (basisOfFractionalIdeal K I)) ↔ x ∈ (I : Set K) := by
rw [basisOfFractionalIdeal, (fractionalIdealBasis K I.1).ofIsLocalizedModule_span ℚ ℤ⁰ _] simp
import Mathlib.Data.Finset.Sigma import Mathlib.Data.Finset.Pairwise import Mathlib.Data.Finset.Powerset import Mathlib.Data.Fintype.Basic import Mathlib.Order.CompleteLatticeIntervals #align_import order.sup_indep from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d" variable {α β ι ι' : Type*} namespace Finset section Lattice variable [Lattice α] [OrderBot α] def SupIndep (s : Finset ι) (f : ι → α) : Prop := ∀ ⦃t⦄, t ⊆ s → ∀ ⦃i⦄, i ∈ s → i ∉ t → Disjoint (f i) (t.sup f) #align finset.sup_indep Finset.SupIndep variable {s t : Finset ι} {f : ι → α} {i : ι} instance [DecidableEq ι] [DecidableEq α] : Decidable (SupIndep s f) := by refine @Finset.decidableForallOfDecidableSubsets _ _ _ (?_) rintro t - refine @Finset.decidableDforallFinset _ _ _ (?_) rintro i - have : Decidable (Disjoint (f i) (sup t f)) := decidable_of_iff' (_ = ⊥) disjoint_iff infer_instance theorem SupIndep.subset (ht : t.SupIndep f) (h : s ⊆ t) : s.SupIndep f := fun _ hu _ hi => ht (hu.trans h) (h hi) #align finset.sup_indep.subset Finset.SupIndep.subset @[simp] theorem supIndep_empty (f : ι → α) : (∅ : Finset ι).SupIndep f := fun _ _ a ha => (not_mem_empty a ha).elim #align finset.sup_indep_empty Finset.supIndep_empty theorem supIndep_singleton (i : ι) (f : ι → α) : ({i} : Finset ι).SupIndep f := fun s hs j hji hj => by rw [eq_empty_of_ssubset_singleton ⟨hs, fun h => hj (h hji)⟩, sup_empty] exact disjoint_bot_right #align finset.sup_indep_singleton Finset.supIndep_singleton theorem SupIndep.pairwiseDisjoint (hs : s.SupIndep f) : (s : Set ι).PairwiseDisjoint f := fun _ ha _ hb hab => sup_singleton.subst <| hs (singleton_subset_iff.2 hb) ha <| not_mem_singleton.2 hab #align finset.sup_indep.pairwise_disjoint Finset.SupIndep.pairwiseDisjoint theorem SupIndep.le_sup_iff (hs : s.SupIndep f) (hts : t ⊆ s) (hi : i ∈ s) (hf : ∀ i, f i ≠ ⊥) : f i ≤ t.sup f ↔ i ∈ t := by refine ⟨fun h => ?_, le_sup⟩ by_contra hit exact hf i (disjoint_self.1 <| (hs hts hi hit).mono_right h) #align finset.sup_indep.le_sup_iff Finset.SupIndep.le_sup_iff theorem supIndep_iff_disjoint_erase [DecidableEq ι] : s.SupIndep f ↔ ∀ i ∈ s, Disjoint (f i) ((s.erase i).sup f) := ⟨fun hs _ hi => hs (erase_subset _ _) hi (not_mem_erase _ _), fun hs _ ht i hi hit => (hs i hi).mono_right (sup_mono fun _ hj => mem_erase.2 ⟨ne_of_mem_of_not_mem hj hit, ht hj⟩)⟩ #align finset.sup_indep_iff_disjoint_erase Finset.supIndep_iff_disjoint_erase theorem SupIndep.image [DecidableEq ι] {s : Finset ι'} {g : ι' → ι} (hs : s.SupIndep (f ∘ g)) : (s.image g).SupIndep f := by intro t ht i hi hit rw [mem_image] at hi obtain ⟨i, hi, rfl⟩ := hi haveI : DecidableEq ι' := Classical.decEq _ suffices hts : t ⊆ (s.erase i).image g by refine (supIndep_iff_disjoint_erase.1 hs i hi).mono_right ((sup_mono hts).trans ?_) rw [sup_image] rintro j hjt obtain ⟨j, hj, rfl⟩ := mem_image.1 (ht hjt) exact mem_image_of_mem _ (mem_erase.2 ⟨ne_of_apply_ne g (ne_of_mem_of_not_mem hjt hit), hj⟩) #align finset.sup_indep.image Finset.SupIndep.image theorem supIndep_map {s : Finset ι'} {g : ι' ↪ ι} : (s.map g).SupIndep f ↔ s.SupIndep (f ∘ g) := by refine ⟨fun hs t ht i hi hit => ?_, fun hs => ?_⟩ · rw [← sup_map] exact hs (map_subset_map.2 ht) ((mem_map' _).2 hi) (by rwa [mem_map']) · classical rw [map_eq_image] exact hs.image #align finset.sup_indep_map Finset.supIndep_map @[simp] theorem supIndep_pair [DecidableEq ι] {i j : ι} (hij : i ≠ j) : ({i, j} : Finset ι).SupIndep f ↔ Disjoint (f i) (f j) := ⟨fun h => h.pairwiseDisjoint (by simp) (by simp) hij, fun h => by rw [supIndep_iff_disjoint_erase] intro k hk rw [Finset.mem_insert, Finset.mem_singleton] at hk obtain rfl | rfl := hk · convert h using 1 rw [Finset.erase_insert, Finset.sup_singleton] simpa using hij · convert h.symm using 1 have : ({i, k} : Finset ι).erase k = {i} := by ext rw [mem_erase, mem_insert, mem_singleton, mem_singleton, and_or_left, Ne, not_and_self_iff, or_false_iff, and_iff_right_of_imp] rintro rfl exact hij rw [this, Finset.sup_singleton]⟩ #align finset.sup_indep_pair Finset.supIndep_pair theorem supIndep_univ_bool (f : Bool → α) : (Finset.univ : Finset Bool).SupIndep f ↔ Disjoint (f false) (f true) := haveI : true ≠ false := by simp only [Ne, not_false_iff] (supIndep_pair this).trans disjoint_comm #align finset.sup_indep_univ_bool Finset.supIndep_univ_bool @[simp] theorem supIndep_univ_fin_two (f : Fin 2 → α) : (Finset.univ : Finset (Fin 2)).SupIndep f ↔ Disjoint (f 0) (f 1) := haveI : (0 : Fin 2) ≠ 1 := by simp supIndep_pair this #align finset.sup_indep_univ_fin_two Finset.supIndep_univ_fin_two theorem SupIndep.attach (hs : s.SupIndep f) : s.attach.SupIndep fun a => f a := by intro t _ i _ hi classical have : (fun (a : { x // x ∈ s }) => f ↑a) = f ∘ (fun a : { x // x ∈ s } => ↑a) := rfl rw [this, ← Finset.sup_image] refine hs (image_subset_iff.2 fun (j : { x // x ∈ s }) _ => j.2) i.2 fun hi' => hi ?_ rw [mem_image] at hi' obtain ⟨j, hj, hji⟩ := hi' rwa [Subtype.ext hji] at hj #align finset.sup_indep.attach Finset.SupIndep.attach @[simp, nolint simpNF]
Mathlib/Order/SupIndep.lean
186
194
theorem supIndep_attach : (s.attach.SupIndep fun a => f a) ↔ s.SupIndep f := by
refine ⟨fun h t ht i his hit => ?_, SupIndep.attach⟩ classical convert h (filter_subset (fun (i : { x // x ∈ s }) => (i : ι) ∈ t) _) (mem_attach _ ⟨i, ‹_›⟩) fun hi => hit <| by simpa using hi using 1 refine eq_of_forall_ge_iff ?_ simp only [Finset.sup_le_iff, mem_filter, mem_attach, true_and_iff, Function.comp_apply, Subtype.forall, Subtype.coe_mk] exact fun a => forall_congr' fun j => ⟨fun h _ => h, fun h hj => h (ht hj) hj⟩
import Mathlib.Analysis.Calculus.SmoothSeries import Mathlib.Analysis.Calculus.BumpFunction.InnerProduct import Mathlib.Analysis.Convolution import Mathlib.Analysis.InnerProductSpace.EuclideanDist import Mathlib.Data.Set.Pointwise.Support import Mathlib.MeasureTheory.Measure.Haar.NormedSpace import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import analysis.calculus.bump_function_findim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set Metric TopologicalSpace Function Asymptotics MeasureTheory FiniteDimensional ContinuousLinearMap Filter MeasureTheory.Measure Bornology open scoped Pointwise Topology NNReal Convolution variable {E : Type*} [NormedAddCommGroup E] section variable [NormedSpace ℝ E] [FiniteDimensional ℝ E] theorem exists_smooth_tsupport_subset {s : Set E} {x : E} (hs : s ∈ 𝓝 x) : ∃ f : E → ℝ, tsupport f ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 ∧ f x = 1 := by obtain ⟨d : ℝ, d_pos : 0 < d, hd : Euclidean.closedBall x d ⊆ s⟩ := Euclidean.nhds_basis_closedBall.mem_iff.1 hs let c : ContDiffBump (toEuclidean x) := { rIn := d / 2 rOut := d rIn_pos := half_pos d_pos rIn_lt_rOut := half_lt_self d_pos } let f : E → ℝ := c ∘ toEuclidean have f_supp : f.support ⊆ Euclidean.ball x d := by intro y hy have : toEuclidean y ∈ Function.support c := by simpa only [Function.mem_support, Function.comp_apply, Ne] using hy rwa [c.support_eq] at this have f_tsupp : tsupport f ⊆ Euclidean.closedBall x d := by rw [tsupport, ← Euclidean.closure_ball _ d_pos.ne'] exact closure_mono f_supp refine ⟨f, f_tsupp.trans hd, ?_, ?_, ?_, ?_⟩ · refine isCompact_of_isClosed_isBounded isClosed_closure ?_ have : IsBounded (Euclidean.closedBall x d) := Euclidean.isCompact_closedBall.isBounded refine this.subset (Euclidean.isClosed_closedBall.closure_subset_iff.2 ?_) exact f_supp.trans Euclidean.ball_subset_closedBall · apply c.contDiff.comp exact ContinuousLinearEquiv.contDiff _ · rintro t ⟨y, rfl⟩ exact ⟨c.nonneg, c.le_one⟩ · apply c.one_of_mem_closedBall apply mem_closedBall_self exact (half_pos d_pos).le #align exists_smooth_tsupport_subset exists_smooth_tsupport_subset theorem IsOpen.exists_smooth_support_eq {s : Set E} (hs : IsOpen s) : ∃ f : E → ℝ, f.support = s ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 := by rcases eq_empty_or_nonempty s with (rfl | h's) · exact ⟨fun _ => 0, Function.support_zero, contDiff_const, by simp only [range_const, singleton_subset_iff, left_mem_Icc, zero_le_one]⟩ let ι := { f : E → ℝ // f.support ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 } obtain ⟨T, T_count, hT⟩ : ∃ T : Set ι, T.Countable ∧ ⋃ f ∈ T, support (f : E → ℝ) = s := by have : ⋃ f : ι, (f : E → ℝ).support = s := by refine Subset.antisymm (iUnion_subset fun f => f.2.1) ?_ intro x hx rcases exists_smooth_tsupport_subset (hs.mem_nhds hx) with ⟨f, hf⟩ let g : ι := ⟨f, (subset_tsupport f).trans hf.1, hf.2.1, hf.2.2.1, hf.2.2.2.1⟩ have : x ∈ support (g : E → ℝ) := by simp only [hf.2.2.2.2, Subtype.coe_mk, mem_support, Ne, one_ne_zero, not_false_iff] exact mem_iUnion_of_mem _ this simp_rw [← this] apply isOpen_iUnion_countable rintro ⟨f, hf⟩ exact hf.2.2.1.continuous.isOpen_support obtain ⟨g0, hg⟩ : ∃ g0 : ℕ → ι, T = range g0 := by apply Countable.exists_eq_range T_count rcases eq_empty_or_nonempty T with (rfl | hT) · simp only [ι, iUnion_false, iUnion_empty] at hT simp only [← hT, mem_empty_iff_false, iUnion_of_empty, iUnion_empty, Set.not_nonempty_empty] at h's · exact hT let g : ℕ → E → ℝ := fun n => (g0 n).1 have g_s : ∀ n, support (g n) ⊆ s := fun n => (g0 n).2.1 have s_g : ∀ x ∈ s, ∃ n, x ∈ support (g n) := fun x hx ↦ by rw [← hT] at hx obtain ⟨i, iT, hi⟩ : ∃ i ∈ T, x ∈ support (i : E → ℝ) := by simpa only [mem_iUnion, exists_prop] using hx rw [hg, mem_range] at iT rcases iT with ⟨n, hn⟩ rw [← hn] at hi exact ⟨n, hi⟩ have g_smooth : ∀ n, ContDiff ℝ ⊤ (g n) := fun n => (g0 n).2.2.2.1 have g_comp_supp : ∀ n, HasCompactSupport (g n) := fun n => (g0 n).2.2.1 have g_nonneg : ∀ n x, 0 ≤ g n x := fun n x => ((g0 n).2.2.2.2 (mem_range_self x)).1 obtain ⟨δ, δpos, c, δc, c_lt⟩ : ∃ δ : ℕ → ℝ≥0, (∀ i : ℕ, 0 < δ i) ∧ ∃ c : NNReal, HasSum δ c ∧ c < 1 := NNReal.exists_pos_sum_of_countable one_ne_zero ℕ have : ∀ n : ℕ, ∃ r : ℝ, 0 < r ∧ ∀ i ≤ n, ∀ x, ‖iteratedFDeriv ℝ i (r • g n) x‖ ≤ δ n := by intro n have : ∀ i, ∃ R, ∀ x, ‖iteratedFDeriv ℝ i (fun x => g n x) x‖ ≤ R := by intro i have : BddAbove (range fun x => ‖iteratedFDeriv ℝ i (fun x : E => g n x) x‖) := by apply ((g_smooth n).continuous_iteratedFDeriv le_top).norm.bddAbove_range_of_hasCompactSupport apply HasCompactSupport.comp_left _ norm_zero apply (g_comp_supp n).iteratedFDeriv rcases this with ⟨R, hR⟩ exact ⟨R, fun x => hR (mem_range_self _)⟩ choose R hR using this let M := max (((Finset.range (n + 1)).image R).max' (by simp)) 1 have δnpos : 0 < δ n := δpos n have IR : ∀ i ≤ n, R i ≤ M := by intro i hi refine le_trans ?_ (le_max_left _ _) apply Finset.le_max' apply Finset.mem_image_of_mem -- Porting note: was -- simp only [Finset.mem_range] -- linarith simpa only [Finset.mem_range, Nat.lt_add_one_iff] refine ⟨M⁻¹ * δ n, by positivity, fun i hi x => ?_⟩ calc ‖iteratedFDeriv ℝ i ((M⁻¹ * δ n) • g n) x‖ = ‖(M⁻¹ * δ n) • iteratedFDeriv ℝ i (g n) x‖ := by rw [iteratedFDeriv_const_smul_apply]; exact (g_smooth n).of_le le_top _ = M⁻¹ * δ n * ‖iteratedFDeriv ℝ i (g n) x‖ := by rw [norm_smul _ (iteratedFDeriv ℝ i (g n) x), Real.norm_of_nonneg]; positivity _ ≤ M⁻¹ * δ n * M := (mul_le_mul_of_nonneg_left ((hR i x).trans (IR i hi)) (by positivity)) _ = δ n := by field_simp choose r rpos hr using this have S : ∀ x, Summable fun n => (r n • g n) x := fun x ↦ by refine .of_nnnorm_bounded _ δc.summable fun n => ?_ rw [← NNReal.coe_le_coe, coe_nnnorm] simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) x refine ⟨fun x => ∑' n, (r n • g n) x, ?_, ?_, ?_⟩ · apply Subset.antisymm · intro x hx simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, mem_support, Ne] at hx contrapose! hx have : ∀ n, g n x = 0 := by intro n contrapose! hx exact g_s n hx simp only [this, mul_zero, tsum_zero] · intro x hx obtain ⟨n, hn⟩ : ∃ n, x ∈ support (g n) := s_g x hx have I : 0 < r n * g n x := mul_pos (rpos n) (lt_of_le_of_ne (g_nonneg n x) (Ne.symm hn)) exact ne_of_gt (tsum_pos (S x) (fun i => mul_nonneg (rpos i).le (g_nonneg i x)) n I) · refine contDiff_tsum_of_eventually (fun n => (g_smooth n).const_smul (r n)) (fun k _ => (NNReal.hasSum_coe.2 δc).summable) ?_ intro i _ simp only [Nat.cofinite_eq_atTop, Pi.smul_apply, Algebra.id.smul_eq_mul, Filter.eventually_atTop, ge_iff_le] exact ⟨i, fun n hn x => hr _ _ hn _⟩ · rintro - ⟨y, rfl⟩ refine ⟨tsum_nonneg fun n => mul_nonneg (rpos n).le (g_nonneg n y), le_trans ?_ c_lt.le⟩ have A : HasSum (fun n => (δ n : ℝ)) c := NNReal.hasSum_coe.2 δc simp only [Pi.smul_apply, smul_eq_mul, NNReal.val_eq_coe, ← A.tsum_eq, ge_iff_le] apply tsum_le_tsum _ (S y) A.summable intro n apply (le_abs_self _).trans simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) y #align is_open.exists_smooth_support_eq IsOpen.exists_smooth_support_eq end section namespace ExistsContDiffBumpBase def φ : E → ℝ := (closedBall (0 : E) 1).indicator fun _ => (1 : ℝ) #align exists_cont_diff_bump_base.φ ExistsContDiffBumpBase.φ variable [NormedSpace ℝ E] [FiniteDimensional ℝ E] section HelperDefinitions variable (E) theorem u_exists : ∃ u : E → ℝ, ContDiff ℝ ⊤ u ∧ (∀ x, u x ∈ Icc (0 : ℝ) 1) ∧ support u = ball 0 1 ∧ ∀ x, u (-x) = u x := by have A : IsOpen (ball (0 : E) 1) := isOpen_ball obtain ⟨f, f_support, f_smooth, f_range⟩ : ∃ f : E → ℝ, f.support = ball (0 : E) 1 ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 := A.exists_smooth_support_eq have B : ∀ x, f x ∈ Icc (0 : ℝ) 1 := fun x => f_range (mem_range_self x) refine ⟨fun x => (f x + f (-x)) / 2, ?_, ?_, ?_, ?_⟩ · exact (f_smooth.add (f_smooth.comp contDiff_neg)).div_const _ · intro x simp only [mem_Icc] constructor · linarith [(B x).1, (B (-x)).1] · linarith [(B x).2, (B (-x)).2] · refine support_eq_iff.2 ⟨fun x hx => ?_, fun x hx => ?_⟩ · apply ne_of_gt have : 0 < f x := by apply lt_of_le_of_ne (B x).1 (Ne.symm _) rwa [← f_support] at hx linarith [(B (-x)).1] · have I1 : x ∉ support f := by rwa [f_support] have I2 : -x ∉ support f := by rw [f_support] simpa using hx simp only [mem_support, Classical.not_not] at I1 I2 simp only [I1, I2, add_zero, zero_div] · intro x; simp only [add_comm, neg_neg] #align exists_cont_diff_bump_base.u_exists ExistsContDiffBumpBase.u_exists variable {E} def u (x : E) : ℝ := Classical.choose (u_exists E) x #align exists_cont_diff_bump_base.u ExistsContDiffBumpBase.u variable (E) theorem u_smooth : ContDiff ℝ ⊤ (u : E → ℝ) := (Classical.choose_spec (u_exists E)).1 #align exists_cont_diff_bump_base.u_smooth ExistsContDiffBumpBase.u_smooth theorem u_continuous : Continuous (u : E → ℝ) := (u_smooth E).continuous #align exists_cont_diff_bump_base.u_continuous ExistsContDiffBumpBase.u_continuous theorem u_support : support (u : E → ℝ) = ball 0 1 := (Classical.choose_spec (u_exists E)).2.2.1 #align exists_cont_diff_bump_base.u_support ExistsContDiffBumpBase.u_support theorem u_compact_support : HasCompactSupport (u : E → ℝ) := by rw [hasCompactSupport_def, u_support, closure_ball (0 : E) one_ne_zero] exact isCompact_closedBall _ _ #align exists_cont_diff_bump_base.u_compact_support ExistsContDiffBumpBase.u_compact_support variable {E} theorem u_nonneg (x : E) : 0 ≤ u x := ((Classical.choose_spec (u_exists E)).2.1 x).1 #align exists_cont_diff_bump_base.u_nonneg ExistsContDiffBumpBase.u_nonneg theorem u_le_one (x : E) : u x ≤ 1 := ((Classical.choose_spec (u_exists E)).2.1 x).2 #align exists_cont_diff_bump_base.u_le_one ExistsContDiffBumpBase.u_le_one theorem u_neg (x : E) : u (-x) = u x := (Classical.choose_spec (u_exists E)).2.2.2 x #align exists_cont_diff_bump_base.u_neg ExistsContDiffBumpBase.u_neg variable [MeasurableSpace E] [BorelSpace E] local notation "μ" => MeasureTheory.Measure.addHaar variable (E) theorem u_int_pos : 0 < ∫ x : E, u x ∂μ := by refine (integral_pos_iff_support_of_nonneg u_nonneg ?_).mpr ?_ · exact (u_continuous E).integrable_of_hasCompactSupport (u_compact_support E) · rw [u_support]; exact measure_ball_pos _ _ zero_lt_one #align exists_cont_diff_bump_base.u_int_pos ExistsContDiffBumpBase.u_int_pos variable {E} -- Porting note: `W` upper case set_option linter.uppercaseLean3 false def w (D : ℝ) (x : E) : ℝ := ((∫ x : E, u x ∂μ) * |D| ^ finrank ℝ E)⁻¹ • u (D⁻¹ • x) #align exists_cont_diff_bump_base.W ExistsContDiffBumpBase.w
Mathlib/Analysis/Calculus/BumpFunction/FiniteDimension.lean
306
308
theorem w_def (D : ℝ) : (w D : E → ℝ) = fun x => ((∫ x : E, u x ∂μ) * |D| ^ finrank ℝ E)⁻¹ • u (D⁻¹ • x) := by
ext1 x; rfl
import Mathlib.Algebra.Homology.ComplexShape import Mathlib.CategoryTheory.Subobject.Limits import Mathlib.CategoryTheory.GradedObject import Mathlib.Algebra.Homology.ShortComplex.Basic #align_import algebra.homology.homological_complex from "leanprover-community/mathlib"@"88bca0ce5d22ebfd9e73e682e51d60ea13b48347" universe v u open CategoryTheory CategoryTheory.Category CategoryTheory.Limits variable {ι : Type*} variable (V : Type u) [Category.{v} V] [HasZeroMorphisms V] structure HomologicalComplex (c : ComplexShape ι) where X : ι → V d : ∀ i j, X i ⟶ X j shape : ∀ i j, ¬c.Rel i j → d i j = 0 := by aesop_cat d_comp_d' : ∀ i j k, c.Rel i j → c.Rel j k → d i j ≫ d j k = 0 := by aesop_cat #align homological_complex HomologicalComplex abbrev ChainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ := HomologicalComplex V (ComplexShape.down α) #align chain_complex ChainComplex abbrev CochainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ := HomologicalComplex V (ComplexShape.up α) #align cochain_complex CochainComplex namespace CochainComplex @[simp] theorem prev (α : Type*) [AddGroup α] [One α] (i : α) : (ComplexShape.up α).prev i = i - 1 := (ComplexShape.up α).prev_eq' <| sub_add_cancel _ _ #align cochain_complex.prev CochainComplex.prev @[simp] theorem next (α : Type*) [AddRightCancelSemigroup α] [One α] (i : α) : (ComplexShape.up α).next i = i + 1 := (ComplexShape.up α).next_eq' rfl #align cochain_complex.next CochainComplex.next @[simp]
Mathlib/Algebra/Homology/HomologicalComplex.lean
206
211
theorem prev_nat_zero : (ComplexShape.up ℕ).prev 0 = 0 := by
classical refine dif_neg ?_ push_neg intro apply Nat.noConfusion
import Mathlib.LinearAlgebra.Contraction #align_import linear_algebra.coevaluation from "leanprover-community/mathlib"@"d6814c584384ddf2825ff038e868451a7c956f31" noncomputable section section coevaluation open TensorProduct FiniteDimensional open TensorProduct universe u v variable (K : Type u) [Field K] variable (V : Type v) [AddCommGroup V] [Module K V] [FiniteDimensional K V] def coevaluation : K →ₗ[K] V ⊗[K] Module.Dual K V := let bV := Basis.ofVectorSpace K V (Basis.singleton Unit K).constr K fun _ => ∑ i : Basis.ofVectorSpaceIndex K V, bV i ⊗ₜ[K] bV.coord i #align coevaluation coevaluation
Mathlib/LinearAlgebra/Coevaluation.lean
47
54
theorem coevaluation_apply_one : (coevaluation K V) (1 : K) = let bV := Basis.ofVectorSpace K V ∑ i : Basis.ofVectorSpaceIndex K V, bV i ⊗ₜ[K] bV.coord i := by
simp only [coevaluation, id] rw [(Basis.singleton Unit K).constr_apply_fintype K] simp only [Fintype.univ_punit, Finset.sum_const, one_smul, Basis.singleton_repr, Basis.equivFun_apply, Basis.coe_ofVectorSpace, one_nsmul, Finset.card_singleton]
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ) #align box_integral.integral_sum_bUnion_partition BoxIntegral.integralSum_biUnion_partition theorem integralSum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) {π' : Prepartition I} (h : π'.IsPartition) : integralSum f vol (π.infPrepartition π') = integralSum f vol π := integralSum_biUnion_partition f vol π _ fun _J hJ => h.restrict (Prepartition.le_of_mem _ hJ) #align box_integral.integral_sum_inf_partition BoxIntegral.integralSum_inf_partition theorem integralSum_fiberwise {α} (g : Box ι → α) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : (∑ y ∈ π.boxes.image g, integralSum f vol (π.filter (g · = y))) = integralSum f vol π := π.sum_fiberwise g fun J => vol J (f <| π.tag J) #align box_integral.integral_sum_fiberwise BoxIntegral.integralSum_fiberwise theorem integralSum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h₁ : π₁.IsPartition) (h₂ : π₂.IsPartition) : integralSum f vol π₁ - integralSum f vol π₂ = ∑ J ∈ (π₁.toPrepartition ⊓ π₂.toPrepartition).boxes, (vol J (f <| (π₁.infPrepartition π₂.toPrepartition).tag J) - vol J (f <| (π₂.infPrepartition π₁.toPrepartition).tag J)) := by rw [← integralSum_inf_partition f vol π₁ h₂, ← integralSum_inf_partition f vol π₂ h₁, integralSum, integralSum, Finset.sum_sub_distrib] simp only [infPrepartition_toPrepartition, inf_comm] #align box_integral.integral_sum_sub_partitions BoxIntegral.integralSum_sub_partitions @[simp] theorem integralSum_disjUnion (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h : Disjoint π₁.iUnion π₂.iUnion) : integralSum f vol (π₁.disjUnion π₂ h) = integralSum f vol π₁ + integralSum f vol π₂ := by refine (Prepartition.sum_disj_union_boxes h _).trans (congr_arg₂ (· + ·) (sum_congr rfl fun J hJ => ?_) (sum_congr rfl fun J hJ => ?_)) · rw [disjUnion_tag_of_mem_left _ hJ] · rw [disjUnion_tag_of_mem_right _ hJ] #align box_integral.integral_sum_disj_union BoxIntegral.integralSum_disjUnion @[simp] theorem integralSum_add (f g : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : integralSum (f + g) vol π = integralSum f vol π + integralSum g vol π := by simp only [integralSum, Pi.add_apply, (vol _).map_add, Finset.sum_add_distrib] #align box_integral.integral_sum_add BoxIntegral.integralSum_add @[simp] theorem integralSum_neg (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : integralSum (-f) vol π = -integralSum f vol π := by simp only [integralSum, Pi.neg_apply, (vol _).map_neg, Finset.sum_neg_distrib] #align box_integral.integral_sum_neg BoxIntegral.integralSum_neg @[simp] theorem integralSum_smul (c : ℝ) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : integralSum (c • f) vol π = c • integralSum f vol π := by simp only [integralSum, Finset.smul_sum, Pi.smul_apply, ContinuousLinearMap.map_smul] #align box_integral.integral_sum_smul BoxIntegral.integralSum_smul variable [Fintype ι] def HasIntegral (I : Box ι) (l : IntegrationParams) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (y : F) : Prop := Tendsto (integralSum f vol) (l.toFilteriUnion I ⊤) (𝓝 y) #align box_integral.has_integral BoxIntegral.HasIntegral def Integrable (I : Box ι) (l : IntegrationParams) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) := ∃ y, HasIntegral I l f vol y #align box_integral.integrable BoxIntegral.Integrable def integral (I : Box ι) (l : IntegrationParams) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) := if h : Integrable I l f vol then h.choose else 0 #align box_integral.integral BoxIntegral.integral -- Porting note: using the above notation ℝⁿ here causes the theorem below to be silently ignored -- see https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Lean.204.20doesn't.20add.20lemma.20to.20the.20environment/near/363764522 -- and https://github.com/leanprover/lean4/issues/2257 variable {l : IntegrationParams} {f g : (ι → ℝ) → E} {vol : ι →ᵇᵃ E →L[ℝ] F} {y y' : F} theorem HasIntegral.tendsto (h : HasIntegral I l f vol y) : Tendsto (integralSum f vol) (l.toFilteriUnion I ⊤) (𝓝 y) := h #align box_integral.has_integral.tendsto BoxIntegral.HasIntegral.tendsto theorem hasIntegral_iff : HasIntegral I l f vol y ↔ ∀ ε > (0 : ℝ), ∃ r : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ), (∀ c, l.RCond (r c)) ∧ ∀ c π, l.MemBaseSet I c (r c) π → IsPartition π → dist (integralSum f vol π) y ≤ ε := ((l.hasBasis_toFilteriUnion_top I).tendsto_iff nhds_basis_closedBall).trans <| by simp [@forall_swap ℝ≥0 (TaggedPrepartition I)] #align box_integral.has_integral_iff BoxIntegral.hasIntegral_iff theorem HasIntegral.of_mul (a : ℝ) (h : ∀ ε : ℝ, 0 < ε → ∃ r : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ), (∀ c, l.RCond (r c)) ∧ ∀ c π, l.MemBaseSet I c (r c) π → IsPartition π → dist (integralSum f vol π) y ≤ a * ε) : HasIntegral I l f vol y := by refine hasIntegral_iff.2 fun ε hε => ?_ rcases exists_pos_mul_lt hε a with ⟨ε', hε', ha⟩ rcases h ε' hε' with ⟨r, hr, H⟩ exact ⟨r, hr, fun c π hπ hπp => (H c π hπ hπp).trans ha.le⟩ #align box_integral.has_integral_of_mul BoxIntegral.HasIntegral.of_mul theorem integrable_iff_cauchy [CompleteSpace F] : Integrable I l f vol ↔ Cauchy ((l.toFilteriUnion I ⊤).map (integralSum f vol)) := cauchy_map_iff_exists_tendsto.symm #align box_integral.integrable_iff_cauchy BoxIntegral.integrable_iff_cauchy
Mathlib/Analysis/BoxIntegral/Basic.lean
220
232
theorem integrable_iff_cauchy_basis [CompleteSpace F] : Integrable I l f vol ↔ ∀ ε > (0 : ℝ), ∃ r : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ), (∀ c, l.RCond (r c)) ∧ ∀ c₁ c₂ π₁ π₂, l.MemBaseSet I c₁ (r c₁) π₁ → π₁.IsPartition → l.MemBaseSet I c₂ (r c₂) π₂ → π₂.IsPartition → dist (integralSum f vol π₁) (integralSum f vol π₂) ≤ ε := by
rw [integrable_iff_cauchy, cauchy_map_iff', (l.hasBasis_toFilteriUnion_top _).prod_self.tendsto_iff uniformity_basis_dist_le] refine forall₂_congr fun ε _ => exists_congr fun r => ?_ simp only [exists_prop, Prod.forall, Set.mem_iUnion, exists_imp, prod_mk_mem_set_prod_eq, and_imp, mem_inter_iff, mem_setOf_eq] exact and_congr Iff.rfl ⟨fun H c₁ c₂ π₁ π₂ h₁ hU₁ h₂ hU₂ => H π₁ π₂ c₁ h₁ hU₁ c₂ h₂ hU₂, fun H π₁ π₂ c₁ h₁ hU₁ c₂ h₂ hU₂ => H c₁ c₂ π₁ π₂ h₁ hU₁ h₂ hU₂⟩
import Batteries.Classes.Order namespace Batteries.PairingHeapImp inductive Heap (α : Type u) where | nil : Heap α | node (a : α) (child sibling : Heap α) : Heap α deriving Repr def Heap.size : Heap α → Nat | .nil => 0 | .node _ c s => c.size + 1 + s.size def Heap.singleton (a : α) : Heap α := .node a .nil .nil def Heap.isEmpty : Heap α → Bool | .nil => true | _ => false @[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α | .nil, .nil => .nil | .nil, .node a₂ c₂ _ => .node a₂ c₂ .nil | .node a₁ c₁ _, .nil => .node a₁ c₁ .nil | .node a₁ c₁ _, .node a₂ c₂ _ => if le a₁ a₂ then .node a₁ (.node a₂ c₂ c₁) .nil else .node a₂ (.node a₁ c₁ c₂) .nil @[specialize] def Heap.combine (le : α → α → Bool) : Heap α → Heap α | h₁@(.node _ _ h₂@(.node _ _ s)) => merge le (merge le h₁ h₂) (s.combine le) | h => h @[inline] def Heap.headD (a : α) : Heap α → α | .nil => a | .node a _ _ => a @[inline] def Heap.head? : Heap α → Option α | .nil => none | .node a _ _ => some a @[inline] def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α) | .nil => none | .node a c _ => (a, combine le c) @[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) := deleteMin le h |>.map (·.snd) @[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α := tail? le h |>.getD .nil inductive Heap.NoSibling : Heap α → Prop | nil : NoSibling .nil | node (a c) : NoSibling (.node a c .nil) instance : Decidable (Heap.NoSibling s) := match s with | .nil => isTrue .nil | .node a c .nil => isTrue (.node a c) | .node _ _ (.node _ _ _) => isFalse nofun theorem Heap.noSibling_merge (le) (s₁ s₂ : Heap α) : (s₁.merge le s₂).NoSibling := by unfold merge (split <;> try split) <;> constructor theorem Heap.noSibling_combine (le) (s : Heap α) : (s.combine le).NoSibling := by unfold combine; split · exact noSibling_merge _ _ _ · match s with | nil | node _ _ nil => constructor | node _ _ (node _ _ s) => rename_i h; exact (h _ _ _ _ _ rfl).elim theorem Heap.noSibling_deleteMin {s : Heap α} (eq : s.deleteMin le = some (a, s')) : s'.NoSibling := by cases s with cases eq | node a c => exact noSibling_combine _ _ theorem Heap.noSibling_tail? {s : Heap α} : s.tail? le = some s' → s'.NoSibling := by simp only [Heap.tail?]; intro eq match eq₂ : s.deleteMin le, eq with | some (a, tl), rfl => exact noSibling_deleteMin eq₂ theorem Heap.noSibling_tail (le) (s : Heap α) : (s.tail le).NoSibling := by simp only [Heap.tail] match eq : s.tail? le with | none => cases s with cases eq | nil => constructor | some tl => exact Heap.noSibling_tail? eq theorem Heap.size_merge_node (le) (a₁ : α) (c₁ s₁ : Heap α) (a₂ : α) (c₂ s₂ : Heap α) : (merge le (.node a₁ c₁ s₁) (.node a₂ c₂ s₂)).size = c₁.size + c₂.size + 2 := by unfold merge; dsimp; split <;> simp_arith [size] theorem Heap.size_merge (le) {s₁ s₂ : Heap α} (h₁ : s₁.NoSibling) (h₂ : s₂.NoSibling) : (merge le s₁ s₂).size = s₁.size + s₂.size := by match h₁, h₂ with | .nil, .nil | .nil, .node _ _ | .node _ _, .nil => simp [size] | .node _ _, .node _ _ => unfold merge; dsimp; split <;> simp_arith [size] theorem Heap.size_combine (le) (s : Heap α) : (s.combine le).size = s.size := by unfold combine; split · rename_i a₁ c₁ a₂ c₂ s rw [size_merge le (noSibling_merge _ _ _) (noSibling_combine _ _), size_merge_node, size_combine le s] simp_arith [size] · rfl theorem Heap.size_deleteMin {s : Heap α} (h : s.NoSibling) (eq : s.deleteMin le = some (a, s')) : s.size = s'.size + 1 := by cases h with cases eq | node a c => rw [size_combine, size, size] theorem Heap.size_tail? {s : Heap α} (h : s.NoSibling) : s.tail? le = some s' → s.size = s'.size + 1 := by simp only [Heap.tail?]; intro eq match eq₂ : s.deleteMin le, eq with | some (a, tl), rfl => exact size_deleteMin h eq₂ theorem Heap.size_tail (le) {s : Heap α} (h : s.NoSibling) : (s.tail le).size = s.size - 1 := by simp only [Heap.tail] match eq : s.tail? le with | none => cases s with cases eq | nil => rfl | some tl => simp [Heap.size_tail? h eq] theorem Heap.size_deleteMin_lt {s : Heap α} (eq : s.deleteMin le = some (a, s')) : s'.size < s.size := by cases s with cases eq | node a c => simp_arith [size_combine, size] theorem Heap.size_tail?_lt {s : Heap α} : s.tail? le = some s' → s'.size < s.size := by simp only [Heap.tail?]; intro eq match eq₂ : s.deleteMin le, eq with | some (a, tl), rfl => exact size_deleteMin_lt eq₂ @[specialize] def Heap.foldM [Monad m] (le : α → α → Bool) (s : Heap α) (init : β) (f : β → α → m β) : m β := match eq : s.deleteMin le with | none => pure init | some (hd, tl) => have : tl.size < s.size := by simp_arith [Heap.size_deleteMin_lt eq] do foldM le tl (← f init hd) f termination_by s.size @[inline] def Heap.fold (le : α → α → Bool) (s : Heap α) (init : β) (f : β → α → β) : β := Id.run <| s.foldM le init f @[inline] def Heap.toArray (le : α → α → Bool) (s : Heap α) : Array α := fold le s #[] Array.push @[inline] def Heap.toList (le : α → α → Bool) (s : Heap α) : List α := (s.toArray le).toList @[specialize] def Heap.foldTreeM [Monad m] (nil : β) (join : α → β → β → m β) : Heap α → m β | .nil => pure nil | .node a c s => do join a (← c.foldTreeM nil join) (← s.foldTreeM nil join) @[inline] def Heap.foldTree (nil : β) (join : α → β → β → β) (s : Heap α) : β := Id.run <| s.foldTreeM nil join def Heap.toListUnordered (s : Heap α) : List α := s.foldTree id (fun a c s l => a :: c (s l)) [] def Heap.toArrayUnordered (s : Heap α) : Array α := s.foldTree id (fun a c s r => s (c (r.push a))) #[] def Heap.NodeWF (le : α → α → Bool) (a : α) : Heap α → Prop | .nil => True | .node b c s => (∀ [TotalBLE le], le a b) ∧ c.NodeWF le b ∧ s.NodeWF le a inductive Heap.WF (le : α → α → Bool) : Heap α → Prop | nil : WF le .nil | node (h : c.NodeWF le a) : WF le (.node a c .nil) theorem Heap.WF.singleton : (Heap.singleton a).WF le := node trivial
.lake/packages/batteries/Batteries/Data/PairingHeap.lean
231
236
theorem Heap.WF.merge_node (h₁ : NodeWF le a₁ c₁) (h₂ : NodeWF le a₂ c₂) : (merge le (.node a₁ c₁ s₁) (.node a₂ c₂ s₂)).WF le := by
unfold merge; dsimp split <;> rename_i h · exact node ⟨fun [_] => h, h₂, h₁⟩ · exact node ⟨fun [_] => TotalBLE.total.resolve_left h, h₁, h₂⟩
import Mathlib.RingTheory.Ideal.IsPrimary import Mathlib.RingTheory.Localization.AtPrime import Mathlib.Order.Minimal #align_import ring_theory.ideal.minimal_prime from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" section variable {R S : Type*} [CommSemiring R] [CommSemiring S] (I J : Ideal R) protected def Ideal.minimalPrimes : Set (Ideal R) := minimals (· ≤ ·) { p | p.IsPrime ∧ I ≤ p } #align ideal.minimal_primes Ideal.minimalPrimes variable (R) in def minimalPrimes : Set (Ideal R) := Ideal.minimalPrimes ⊥ #align minimal_primes minimalPrimes lemma minimalPrimes_eq_minimals : minimalPrimes R = minimals (· ≤ ·) (setOf Ideal.IsPrime) := congr_arg (minimals (· ≤ ·)) (by simp) variable {I J} theorem Ideal.exists_minimalPrimes_le [J.IsPrime] (e : I ≤ J) : ∃ p ∈ I.minimalPrimes, p ≤ J := by suffices ∃ m ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ OrderDual.ofDual p }, OrderDual.toDual J ≤ m ∧ ∀ z ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ p }, m ≤ z → z = m by obtain ⟨p, h₁, h₂, h₃⟩ := this simp_rw [← @eq_comm _ p] at h₃ exact ⟨p, ⟨h₁, fun a b c => le_of_eq (h₃ a b c)⟩, h₂⟩ apply zorn_nonempty_partialOrder₀ swap · refine ⟨show J.IsPrime by infer_instance, e⟩ rintro (c : Set (Ideal R)) hc hc' J' hJ' refine ⟨OrderDual.toDual (sInf c), ⟨Ideal.sInf_isPrime_of_isChain ⟨J', hJ'⟩ hc'.symm fun x hx => (hc hx).1, ?_⟩, ?_⟩ · rw [OrderDual.ofDual_toDual, le_sInf_iff] exact fun _ hx => (hc hx).2 · rintro z hz rw [OrderDual.le_toDual] exact sInf_le hz #align ideal.exists_minimal_primes_le Ideal.exists_minimalPrimes_le @[simp] theorem Ideal.radical_minimalPrimes : I.radical.minimalPrimes = I.minimalPrimes := by rw [Ideal.minimalPrimes, Ideal.minimalPrimes] ext p refine ⟨?_, ?_⟩ <;> rintro ⟨⟨a, ha⟩, b⟩ · refine ⟨⟨a, a.radical_le_iff.1 ha⟩, ?_⟩ simp only [Set.mem_setOf_eq, and_imp] at * exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.2 h3) h4 · refine ⟨⟨a, a.radical_le_iff.2 ha⟩, ?_⟩ simp only [Set.mem_setOf_eq, and_imp] at * exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.1 h3) h4 #align ideal.radical_minimal_primes Ideal.radical_minimalPrimes @[simp] theorem Ideal.sInf_minimalPrimes : sInf I.minimalPrimes = I.radical := by rw [I.radical_eq_sInf] apply le_antisymm · intro x hx rw [Ideal.mem_sInf] at hx ⊢ rintro J ⟨e, hJ⟩ obtain ⟨p, hp, hp'⟩ := Ideal.exists_minimalPrimes_le e exact hp' (hx hp) · apply sInf_le_sInf _ intro I hI exact hI.1.symm #align ideal.Inf_minimal_primes Ideal.sInf_minimalPrimes theorem Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective {f : R →+* S} (hf : Function.Injective f) (p) (H : p ∈ minimalPrimes R) : ∃ p' : Ideal S, p'.IsPrime ∧ p'.comap f = p := by have := H.1.1 have : Nontrivial (Localization (Submonoid.map f p.primeCompl)) := by refine ⟨⟨1, 0, ?_⟩⟩ convert (IsLocalization.map_injective_of_injective p.primeCompl (Localization.AtPrime p) (Localization <| p.primeCompl.map f) hf).ne one_ne_zero · rw [map_one] · rw [map_zero] obtain ⟨M, hM⟩ := Ideal.exists_maximal (Localization (Submonoid.map f p.primeCompl)) refine ⟨M.comap (algebraMap S <| Localization (Submonoid.map f p.primeCompl)), inferInstance, ?_⟩ rw [Ideal.comap_comap, ← @IsLocalization.map_comp _ _ _ _ _ _ _ _ Localization.isLocalization _ _ _ _ p.primeCompl.le_comap_map _ Localization.isLocalization, ← Ideal.comap_comap] suffices _ ≤ p by exact this.antisymm (H.2 ⟨inferInstance, bot_le⟩ this) intro x hx by_contra h apply hM.ne_top apply M.eq_top_of_isUnit_mem hx apply IsUnit.map apply IsLocalization.map_units _ (show p.primeCompl from ⟨x, h⟩) #align ideal.exists_comap_eq_of_mem_minimal_primes_of_injective Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective end section variable {R S : Type*} [CommRing R] [CommRing S] {I J : Ideal R} theorem Ideal.exists_comap_eq_of_mem_minimalPrimes {I : Ideal S} (f : R →+* S) (p) (H : p ∈ (I.comap f).minimalPrimes) : ∃ p' : Ideal S, p'.IsPrime ∧ I ≤ p' ∧ p'.comap f = p := by have := H.1.1 let f' := (Ideal.Quotient.mk I).comp f have e : RingHom.ker f' = I.comap f := by ext1 exact Submodule.Quotient.mk_eq_zero _ have : RingHom.ker (Ideal.Quotient.mk <| RingHom.ker f') ≤ p := by rw [Ideal.mk_ker, e] exact H.1.2 suffices _ by have ⟨p', hp₁, hp₂⟩ := Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective (RingHom.kerLift_injective f') (p.map <| Ideal.Quotient.mk <| RingHom.ker f') this refine ⟨p'.comap <| Ideal.Quotient.mk I, Ideal.IsPrime.comap _, ?_, ?_⟩ · exact Ideal.mk_ker.symm.trans_le (Ideal.comap_mono bot_le) · convert congr_arg (Ideal.comap <| Ideal.Quotient.mk <| RingHom.ker f') hp₂ rwa [Ideal.comap_map_of_surjective (Ideal.Quotient.mk <| RingHom.ker f') Ideal.Quotient.mk_surjective, eq_comm, sup_eq_left] refine ⟨⟨?_, bot_le⟩, ?_⟩ · apply Ideal.map_isPrime_of_surjective _ this exact Ideal.Quotient.mk_surjective · rintro q ⟨hq, -⟩ hq' rw [← Ideal.map_comap_of_surjective (Ideal.Quotient.mk (RingHom.ker ((Ideal.Quotient.mk I).comp f))) Ideal.Quotient.mk_surjective q] apply Ideal.map_mono apply H.2 · refine ⟨inferInstance, (Ideal.mk_ker.trans e).symm.trans_le (Ideal.comap_mono bot_le)⟩ · refine (Ideal.comap_mono hq').trans ?_ rw [Ideal.comap_map_of_surjective] exacts [sup_le rfl.le this, Ideal.Quotient.mk_surjective] #align ideal.exists_comap_eq_of_mem_minimal_primes Ideal.exists_comap_eq_of_mem_minimalPrimes theorem Ideal.exists_minimalPrimes_comap_eq {I : Ideal S} (f : R →+* S) (p) (H : p ∈ (I.comap f).minimalPrimes) : ∃ p' ∈ I.minimalPrimes, Ideal.comap f p' = p := by obtain ⟨p', h₁, h₂, h₃⟩ := Ideal.exists_comap_eq_of_mem_minimalPrimes f p H obtain ⟨q, hq, hq'⟩ := Ideal.exists_minimalPrimes_le h₂ refine ⟨q, hq, Eq.symm ?_⟩ have := hq.1.1 have := (Ideal.comap_mono hq').trans_eq h₃ exact (H.2 ⟨inferInstance, Ideal.comap_mono hq.1.2⟩ this).antisymm this #align ideal.exists_minimal_primes_comap_eq Ideal.exists_minimalPrimes_comap_eq theorem Ideal.minimal_primes_comap_of_surjective {f : R →+* S} (hf : Function.Surjective f) {I J : Ideal S} (h : J ∈ I.minimalPrimes) : J.comap f ∈ (I.comap f).minimalPrimes := by have := h.1.1 refine ⟨⟨inferInstance, Ideal.comap_mono h.1.2⟩, ?_⟩ rintro K ⟨hK, e₁⟩ e₂ have : RingHom.ker f ≤ K := (Ideal.comap_mono bot_le).trans e₁ rw [← sup_eq_left.mpr this, RingHom.ker_eq_comap_bot, ← Ideal.comap_map_of_surjective f hf] apply Ideal.comap_mono _ apply h.2 _ _ · exact ⟨Ideal.map_isPrime_of_surjective hf this, Ideal.le_map_of_comap_le_of_surjective f hf e₁⟩ · exact Ideal.map_le_of_le_comap e₂ #align ideal.mimimal_primes_comap_of_surjective Ideal.minimal_primes_comap_of_surjective theorem Ideal.comap_minimalPrimes_eq_of_surjective {f : R →+* S} (hf : Function.Surjective f) (I : Ideal S) : (I.comap f).minimalPrimes = Ideal.comap f '' I.minimalPrimes := by ext J constructor · intro H obtain ⟨p, h, rfl⟩ := Ideal.exists_minimalPrimes_comap_eq f J H exact ⟨p, h, rfl⟩ · rintro ⟨J, hJ, rfl⟩ exact Ideal.minimal_primes_comap_of_surjective hf hJ #align ideal.comap_minimal_primes_eq_of_surjective Ideal.comap_minimalPrimes_eq_of_surjective theorem Ideal.minimalPrimes_eq_comap : I.minimalPrimes = Ideal.comap (Ideal.Quotient.mk I) '' minimalPrimes (R ⧸ I) := by rw [minimalPrimes, ← Ideal.comap_minimalPrimes_eq_of_surjective Ideal.Quotient.mk_surjective, ← RingHom.ker_eq_comap_bot, Ideal.mk_ker] #align ideal.minimal_primes_eq_comap Ideal.minimalPrimes_eq_comap theorem Ideal.minimalPrimes_eq_subsingleton (hI : I.IsPrimary) : I.minimalPrimes = {I.radical} := by ext J constructor · exact fun H => let e := H.1.1.radical_le_iff.mpr H.1.2 (H.2 ⟨Ideal.isPrime_radical hI, Ideal.le_radical⟩ e).antisymm e · rintro (rfl : J = I.radical) exact ⟨⟨Ideal.isPrime_radical hI, Ideal.le_radical⟩, fun _ H _ => H.1.radical_le_iff.mpr H.2⟩ #align ideal.minimal_primes_eq_subsingleton Ideal.minimalPrimes_eq_subsingleton theorem Ideal.minimalPrimes_eq_subsingleton_self [I.IsPrime] : I.minimalPrimes = {I} := by ext J constructor · exact fun H => (H.2 ⟨inferInstance, rfl.le⟩ H.1.2).antisymm H.1.2 · rintro (rfl : J = I) exact ⟨⟨inferInstance, rfl.le⟩, fun _ h _ => h.2⟩ #align ideal.minimal_primes_eq_subsingleton_self Ideal.minimalPrimes_eq_subsingleton_self end namespace Localization.AtPrime variable {R : Type*} [CommSemiring R] {I : Ideal R} [hI : I.IsPrime] (hMin : I ∈ minimalPrimes R) theorem _root_.IsLocalization.AtPrime.prime_unique_of_minimal {S} [CommSemiring S] [Algebra R S] [IsLocalization.AtPrime S I] {J K : Ideal S} [J.IsPrime] [K.IsPrime] : J = K := haveI : Subsingleton {i : Ideal R // i.IsPrime ∧ i ≤ I} := ⟨fun i₁ i₂ ↦ Subtype.ext <| by rw [minimalPrimes_eq_minimals] at hMin rw [← eq_of_mem_minimals hMin i₁.2.1 i₁.2.2, ← eq_of_mem_minimals hMin i₂.2.1 i₂.2.2]⟩ Subtype.ext_iff.mp <| (IsLocalization.AtPrime.orderIsoOfPrime S I).injective (a₁ := ⟨J, ‹_›⟩) (a₂ := ⟨K, ‹_›⟩) (Subsingleton.elim _ _) theorem prime_unique_of_minimal (J : Ideal (Localization I.primeCompl)) [J.IsPrime] : J = LocalRing.maximalIdeal (Localization I.primeCompl) := IsLocalization.AtPrime.prime_unique_of_minimal hMin
Mathlib/RingTheory/Ideal/MinimalPrime.lean
243
247
theorem nilpotent_iff_mem_maximal_of_minimal {x : _} : IsNilpotent x ↔ x ∈ LocalRing.maximalIdeal (Localization I.primeCompl) := by
rw [nilpotent_iff_mem_prime] exact ⟨(· (LocalRing.maximalIdeal _) (Ideal.IsMaximal.isPrime' _)), fun _ J _ => by simpa [prime_unique_of_minimal hMin J]⟩
import Mathlib.Order.Cover import Mathlib.Order.Interval.Finset.Defs #align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d" assert_not_exists MonoidWithZero assert_not_exists Finset.sum open Function OrderDual open FinsetInterval variable {ι α : Type*} namespace Finset section Preorder variable [Preorder α] section LocallyFiniteOrder variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α} @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc] #align finset.nonempty_Icc Finset.nonempty_Icc @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico] #align finset.nonempty_Ico Finset.nonempty_Ico @[simp, aesop safe apply (rule_sets := [finsetNonempty])]
Mathlib/Order/Interval/Finset/Basic.lean
67
68
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
import Mathlib.Algebra.Order.ToIntervalMod import Mathlib.Algebra.Ring.AddAut import Mathlib.Data.Nat.Totient import Mathlib.GroupTheory.Divisible import Mathlib.Topology.Connected.PathConnected import Mathlib.Topology.IsLocalHomeomorph #align_import topology.instances.add_circle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" noncomputable section open AddCommGroup Set Function AddSubgroup TopologicalSpace open Topology variable {𝕜 B : Type*} @[nolint unusedArguments] abbrev AddCircle [LinearOrderedAddCommGroup 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] (p : 𝕜) := 𝕜 ⧸ zmultiples p #align add_circle AddCircle namespace AddCircle section LinearOrderedAddCommGroup variable [LinearOrderedAddCommGroup 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] (p : 𝕜) theorem coe_nsmul {n : ℕ} {x : 𝕜} : (↑(n • x) : AddCircle p) = n • (x : AddCircle p) := rfl #align add_circle.coe_nsmul AddCircle.coe_nsmul theorem coe_zsmul {n : ℤ} {x : 𝕜} : (↑(n • x) : AddCircle p) = n • (x : AddCircle p) := rfl #align add_circle.coe_zsmul AddCircle.coe_zsmul theorem coe_add (x y : 𝕜) : (↑(x + y) : AddCircle p) = (x : AddCircle p) + (y : AddCircle p) := rfl #align add_circle.coe_add AddCircle.coe_add theorem coe_sub (x y : 𝕜) : (↑(x - y) : AddCircle p) = (x : AddCircle p) - (y : AddCircle p) := rfl #align add_circle.coe_sub AddCircle.coe_sub theorem coe_neg {x : 𝕜} : (↑(-x) : AddCircle p) = -(x : AddCircle p) := rfl #align add_circle.coe_neg AddCircle.coe_neg
Mathlib/Topology/Instances/AddCircle.lean
152
153
theorem coe_eq_zero_iff {x : 𝕜} : (x : AddCircle p) = 0 ↔ ∃ n : ℤ, n • p = x := by
simp [AddSubgroup.mem_zmultiples_iff]
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 variable {E : Type*} [NormedAddCommGroup E] section MellinConvergent theorem mellin_convergent_iff_norm [NormedSpace ℂ E] {f : ℝ → E} {T : Set ℝ} (hT : T ⊆ Ioi 0) (hT' : MeasurableSet T) (hfc : AEStronglyMeasurable f <| volume.restrict <| Ioi 0) {s : ℂ} : IntegrableOn (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) T ↔ IntegrableOn (fun t : ℝ => t ^ (s.re - 1) * ‖f t‖) T := by have : AEStronglyMeasurable (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) (volume.restrict T) := by refine ((ContinuousAt.continuousOn ?_).aestronglyMeasurable hT').smul (hfc.mono_set hT) exact fun t ht => continuousAt_ofReal_cpow_const _ _ (Or.inr <| ne_of_gt (hT ht)) rw [IntegrableOn, ← integrable_norm_iff this, ← IntegrableOn] refine integrableOn_congr_fun (fun t ht => ?_) hT' simp_rw [norm_smul, Complex.norm_eq_abs, abs_cpow_eq_rpow_re_of_pos (hT ht), sub_re, one_re] #align mellin_convergent_iff_norm mellin_convergent_iff_norm theorem mellin_convergent_top_of_isBigO {f : ℝ → ℝ} (hfc : AEStronglyMeasurable f <| volume.restrict (Ioi 0)) {a s : ℝ} (hf : f =O[atTop] (· ^ (-a))) (hs : s < a) : ∃ c : ℝ, 0 < c ∧ IntegrableOn (fun t : ℝ => t ^ (s - 1) * f t) (Ioi c) := by obtain ⟨d, hd'⟩ := hf.isBigOWith simp_rw [IsBigOWith, eventually_atTop] at hd' obtain ⟨e, he⟩ := hd' have he' : 0 < max e 1 := zero_lt_one.trans_le (le_max_right _ _) refine ⟨max e 1, he', ?_, ?_⟩ · refine AEStronglyMeasurable.mul ?_ (hfc.mono_set (Ioi_subset_Ioi he'.le)) refine (ContinuousAt.continuousOn fun t ht => ?_).aestronglyMeasurable measurableSet_Ioi exact continuousAt_rpow_const _ _ (Or.inl <| (he'.trans ht).ne') · have : ∀ᵐ t : ℝ ∂volume.restrict (Ioi <| max e 1), ‖t ^ (s - 1) * f t‖ ≤ t ^ (s - 1 + -a) * d := by refine (ae_restrict_mem measurableSet_Ioi).mono fun t ht => ?_ have ht' : 0 < t := he'.trans ht rw [norm_mul, rpow_add ht', ← norm_of_nonneg (rpow_nonneg ht'.le (-a)), mul_assoc, mul_comm _ d, norm_of_nonneg (rpow_nonneg ht'.le _)] gcongr exact he t ((le_max_left e 1).trans_lt ht).le refine (HasFiniteIntegral.mul_const ?_ _).mono' this exact (integrableOn_Ioi_rpow_of_lt (by linarith) he').hasFiniteIntegral set_option linter.uppercaseLean3 false in #align mellin_convergent_top_of_is_O mellin_convergent_top_of_isBigO
Mathlib/Analysis/MellinTransform.lean
237
264
theorem mellin_convergent_zero_of_isBigO {b : ℝ} {f : ℝ → ℝ} (hfc : AEStronglyMeasurable f <| volume.restrict (Ioi 0)) (hf : f =O[𝓝[>] 0] (· ^ (-b))) {s : ℝ} (hs : b < s) : ∃ c : ℝ, 0 < c ∧ IntegrableOn (fun t : ℝ => t ^ (s - 1) * f t) (Ioc 0 c) := by
obtain ⟨d, _, hd'⟩ := hf.exists_pos simp_rw [IsBigOWith, eventually_nhdsWithin_iff, Metric.eventually_nhds_iff, gt_iff_lt] at hd' obtain ⟨ε, hε, hε'⟩ := hd' refine ⟨ε, hε, integrableOn_Ioc_iff_integrableOn_Ioo.mpr ⟨?_, ?_⟩⟩ · refine AEStronglyMeasurable.mul ?_ (hfc.mono_set Ioo_subset_Ioi_self) refine (ContinuousAt.continuousOn fun t ht => ?_).aestronglyMeasurable measurableSet_Ioo exact continuousAt_rpow_const _ _ (Or.inl ht.1.ne') · apply HasFiniteIntegral.mono' · show HasFiniteIntegral (fun t => d * t ^ (s - b - 1)) _ refine (Integrable.hasFiniteIntegral ?_).const_mul _ rw [← IntegrableOn, ← integrableOn_Ioc_iff_integrableOn_Ioo, ← intervalIntegrable_iff_integrableOn_Ioc_of_le hε.le] exact intervalIntegral.intervalIntegrable_rpow' (by linarith) · refine (ae_restrict_iff' measurableSet_Ioo).mpr (eventually_of_forall fun t ht => ?_) rw [mul_comm, norm_mul] specialize hε' _ ht.1 · rw [dist_eq_norm, sub_zero, norm_of_nonneg (le_of_lt ht.1)] exact ht.2 · calc _ ≤ d * ‖t ^ (-b)‖ * ‖t ^ (s - 1)‖ := by gcongr _ = d * t ^ (s - b - 1) := ?_ simp_rw [norm_of_nonneg (rpow_nonneg (le_of_lt ht.1) _), mul_assoc] rw [← rpow_add ht.1] congr 2 abel
import Mathlib.Algebra.Lie.Submodule #align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d" universe u v w w₁ w₂ namespace LieSubmodule variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂] variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂) section LieIdealOperations instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) := ⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩ #align lie_submodule.has_bracket LieSubmodule.hasBracket theorem lieIdeal_oper_eq_span : ⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := rfl #align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span theorem lieIdeal_oper_eq_linear_span : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by apply le_antisymm · let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m } have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by intro y m' hm' refine Submodule.span_induction (R := R) (M := M) (s := s) (p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_ · rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie] refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span · use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n · use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩ · simp only [lie_zero, Submodule.zero_mem] · intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂ · intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm'' change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M) rw [lieIdeal_oper_eq_span, lieSpan_le] exact Submodule.subset_span · rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan #align lie_submodule.lie_ideal_oper_eq_linear_span LieSubmodule.lieIdeal_oper_eq_linear_span theorem lieIdeal_oper_eq_linear_span' : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ x ∈ I, ∃ n ∈ N, ⁅x, n⁆ = m } := by rw [lieIdeal_oper_eq_linear_span] congr ext m constructor · rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ exact ⟨x, hx, n, hn, rfl⟩ · rintro ⟨x, hx, n, hn, rfl⟩ exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ #align lie_submodule.lie_ideal_oper_eq_linear_span' LieSubmodule.lieIdeal_oper_eq_linear_span' theorem lie_le_iff : ⁅I, N⁆ ≤ N' ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅x, m⁆ ∈ N' := by rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le] refine ⟨fun h x hx m hm => h ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩ rintro h _ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩ exact h x hx m hm #align lie_submodule.lie_le_iff LieSubmodule.lie_le_iff theorem lie_coe_mem_lie (x : I) (m : N) : ⁅(x : L), (m : M)⁆ ∈ ⁅I, N⁆ := by rw [lieIdeal_oper_eq_span]; apply subset_lieSpan; use x, m #align lie_submodule.lie_coe_mem_lie LieSubmodule.lie_coe_mem_lie theorem lie_mem_lie {x : L} {m : M} (hx : x ∈ I) (hm : m ∈ N) : ⁅x, m⁆ ∈ ⁅I, N⁆ := N.lie_coe_mem_lie I ⟨x, hx⟩ ⟨m, hm⟩ #align lie_submodule.lie_mem_lie LieSubmodule.lie_mem_lie theorem lie_comm : ⁅I, J⁆ = ⁅J, I⁆ := by suffices ∀ I J : LieIdeal R L, ⁅I, J⁆ ≤ ⁅J, I⁆ by exact le_antisymm (this I J) (this J I) clear! I J; intro I J rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro x ⟨y, z, h⟩; rw [← h] rw [← lie_skew, ← lie_neg, ← LieSubmodule.coe_neg] apply lie_coe_mem_lie #align lie_submodule.lie_comm LieSubmodule.lie_comm theorem lie_le_right : ⁅I, N⁆ ≤ N := by rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨x, n, hn⟩; rw [← hn] exact N.lie_mem n.property #align lie_submodule.lie_le_right LieSubmodule.lie_le_right theorem lie_le_left : ⁅I, J⁆ ≤ I := by rw [lie_comm]; exact lie_le_right I J #align lie_submodule.lie_le_left LieSubmodule.lie_le_left theorem lie_le_inf : ⁅I, J⁆ ≤ I ⊓ J := by rw [le_inf_iff]; exact ⟨lie_le_left I J, lie_le_right J I⟩ #align lie_submodule.lie_le_inf LieSubmodule.lie_le_inf @[simp] theorem lie_bot : ⁅I, (⊥ : LieSubmodule R L M)⁆ = ⊥ := by rw [eq_bot_iff]; apply lie_le_right #align lie_submodule.lie_bot LieSubmodule.lie_bot @[simp] theorem bot_lie : ⁅(⊥ : LieIdeal R L), N⁆ = ⊥ := by suffices ⁅(⊥ : LieIdeal R L), N⁆ ≤ ⊥ by exact le_bot_iff.mp this rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨⟨x, hx⟩, n, hn⟩; rw [← hn] change x ∈ (⊥ : LieIdeal R L) at hx; rw [mem_bot] at hx; simp [hx] #align lie_submodule.bot_lie LieSubmodule.bot_lie theorem lie_eq_bot_iff : ⁅I, N⁆ = ⊥ ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅(x : L), m⁆ = 0 := by rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_eq_bot_iff] refine ⟨fun h x hx m hm => h ⁅x, m⁆ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩ rintro h - ⟨⟨x, hx⟩, ⟨⟨n, hn⟩, rfl⟩⟩ exact h x hx n hn #align lie_submodule.lie_eq_bot_iff LieSubmodule.lie_eq_bot_iff
Mathlib/Algebra/Lie/IdealOperations.lean
148
152
theorem mono_lie (h₁ : I ≤ J) (h₂ : N ≤ N') : ⁅I, N⁆ ≤ ⁅J, N'⁆ := by
intro m h rw [lieIdeal_oper_eq_span, mem_lieSpan] at h; rw [lieIdeal_oper_eq_span, mem_lieSpan] intro N hN; apply h; rintro m' ⟨⟨x, hx⟩, ⟨n, hn⟩, hm⟩; rw [← hm]; apply hN use ⟨x, h₁ hx⟩, ⟨n, h₂ hn⟩
import Mathlib.Analysis.NormedSpace.PiTensorProduct.ProjectiveSeminorm import Mathlib.LinearAlgebra.Isomorphisms universe uι u𝕜 uE uF variable {ι : Type uι} [Fintype ι] variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜] variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] open scoped TensorProduct namespace PiTensorProduct section seminorm variable (F) in @[simps!] noncomputable def toDualContinuousMultilinearMap : (⨂[𝕜] i, E i) →ₗ[𝕜] ContinuousMultilinearMap 𝕜 E F →L[𝕜] F where toFun x := LinearMap.mkContinuous ((LinearMap.flip (lift (R := 𝕜) (s := E) (E := F)).toLinearMap x) ∘ₗ ContinuousMultilinearMap.toMultilinearMapLinear) (projectiveSeminorm x) (fun _ ↦ by simp only [LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.flip_apply, LinearEquiv.coe_coe] exact norm_eval_le_projectiveSeminorm _ _ _) map_add' x y := by ext _ simp only [map_add, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.add_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, ContinuousLinearMap.add_apply] map_smul' a x := by ext _ simp only [map_smul, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.smul_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, RingHom.id_apply, ContinuousLinearMap.coe_smul', Pi.smul_apply] theorem toDualContinuousMultilinearMap_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) : ‖toDualContinuousMultilinearMap F x‖ ≤ projectiveSeminorm x := by simp only [toDualContinuousMultilinearMap, LinearMap.coe_mk, AddHom.coe_mk] apply LinearMap.mkContinuous_norm_le _ (apply_nonneg _ _) noncomputable irreducible_def injectiveSeminorm : Seminorm 𝕜 (⨂[𝕜] i, E i) := sSup {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} lemma dualSeminorms_bounded : BddAbove {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} := by existsi projectiveSeminorm rw [mem_upperBounds] simp only [Set.mem_setOf_eq, forall_exists_index] intro p G _ _ hp rw [hp] intro x simp only [Seminorm.comp_apply, coe_normSeminorm] exact toDualContinuousMultilinearMap_le_projectiveSeminorm _ theorem injectiveSeminorm_apply (x : ⨂[𝕜] i, E i) : injectiveSeminorm x = ⨆ p : {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))}, p.1 x := by simp [injectiveSeminorm] exact Seminorm.sSup_apply dualSeminorms_bounded theorem norm_eval_le_injectiveSeminorm (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) : ‖lift f.toMultilinearMap x‖ ≤ ‖f‖ * injectiveSeminorm x := by set G := (⨂[𝕜] i, E i) ⧸ LinearMap.ker (lift f.toMultilinearMap) set G' := LinearMap.range (lift f.toMultilinearMap) set e := LinearMap.quotKerEquivRange (lift f.toMultilinearMap) letI := SeminormedAddCommGroup.induced G G' e letI := NormedSpace.induced 𝕜 G G' e set f'₀ := lift.symm (e.symm.toLinearMap ∘ₗ LinearMap.rangeRestrict (lift f.toMultilinearMap)) have hf'₀ : ∀ (x : Π (i : ι), E i), ‖f'₀ x‖ ≤ ‖f‖ * ∏ i, ‖x i‖ := fun x ↦ by change ‖e (f'₀ x)‖ ≤ _ simp only [lift_symm, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, Submodule.coe_norm, LinearMap.codRestrict_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, e, f'₀] exact f.le_opNorm x set f' := MultilinearMap.mkContinuous f'₀ ‖f‖ hf'₀ have hnorm : ‖f'‖ ≤ ‖f‖ := (f'.opNorm_le_iff (norm_nonneg f)).mpr hf'₀ have heq : e (lift f'.toMultilinearMap x) = lift f.toMultilinearMap x := by induction' x using PiTensorProduct.induction_on with a m _ _ hx hy · simp only [lift_symm, map_smul, lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, SetLike.val_smul, LinearMap.codRestrict_apply, f', f'₀] · simp only [map_add, AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, hx, hy] suffices h : ‖lift f'.toMultilinearMap x‖ ≤ ‖f'‖ * injectiveSeminorm x by change ‖(e (lift f'.toMultilinearMap x)).1‖ ≤ _ at h rw [heq] at h exact le_trans h (mul_le_mul_of_nonneg_right hnorm (apply_nonneg _ _)) have hle : Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E)) ≤ injectiveSeminorm := by simp only [injectiveSeminorm] refine le_csSup dualSeminorms_bounded ?_ rw [Set.mem_setOf] existsi G, inferInstance, inferInstance rfl refine le_trans ?_ (mul_le_mul_of_nonneg_left (hle x) (norm_nonneg f')) simp only [Seminorm.comp_apply, coe_normSeminorm, ← toDualContinuousMultilinearMap_apply_apply] rw [mul_comm] exact ContinuousLinearMap.le_opNorm _ _ theorem injectiveSeminorm_le_projectiveSeminorm : injectiveSeminorm (𝕜 := 𝕜) (E := E) ≤ projectiveSeminorm := by rw [injectiveSeminorm] refine csSup_le ?_ ?_ · existsi 0 simp only [Set.mem_setOf_eq] existsi PUnit, inferInstance, inferInstance ext x simp only [Seminorm.zero_apply, Seminorm.comp_apply, coe_normSeminorm] have heq : toDualContinuousMultilinearMap PUnit x = 0 := by ext _ rw [heq, norm_zero] · intro p hp simp only [Set.mem_setOf_eq] at hp obtain ⟨G, _, _, h⟩ := hp rw [h]; intro x; simp only [Seminorm.comp_apply, coe_normSeminorm] exact toDualContinuousMultilinearMap_le_projectiveSeminorm _ theorem injectiveSeminorm_tprod_le (m : Π (i : ι), E i) : injectiveSeminorm (⨂ₜ[𝕜] i, m i) ≤ ∏ i, ‖m i‖ := le_trans (injectiveSeminorm_le_projectiveSeminorm _) (projectiveSeminorm_tprod_le m) noncomputable instance : SeminormedAddCommGroup (⨂[𝕜] i, E i) := AddGroupSeminorm.toSeminormedAddCommGroup injectiveSeminorm.toAddGroupSeminorm noncomputable instance : NormedSpace 𝕜 (⨂[𝕜] i, E i) where norm_smul_le a x := by change injectiveSeminorm.toFun (a • x) ≤ _ rw [injectiveSeminorm.smul'] rfl variable (𝕜 E F) @[simps] noncomputable def liftEquiv : ContinuousMultilinearMap 𝕜 E F ≃ₗ[𝕜] (⨂[𝕜] i, E i) →L[𝕜] F where toFun f := LinearMap.mkContinuous (lift f.toMultilinearMap) ‖f‖ (fun x ↦ norm_eval_le_injectiveSeminorm f x) map_add' f g := by ext _; simp only [ContinuousMultilinearMap.toMultilinearMap_add, map_add, LinearMap.mkContinuous_apply, LinearMap.add_apply, ContinuousLinearMap.add_apply] map_smul' a f := by ext _; simp only [ContinuousMultilinearMap.toMultilinearMap_smul, map_smul, LinearMap.mkContinuous_apply, LinearMap.smul_apply, RingHom.id_apply, ContinuousLinearMap.coe_smul', Pi.smul_apply] invFun l := MultilinearMap.mkContinuous (lift.symm l.toLinearMap) ‖l‖ (fun x ↦ by simp only [lift_symm, LinearMap.compMultilinearMap_apply, ContinuousLinearMap.coe_coe] refine le_trans (ContinuousLinearMap.le_opNorm _ _) (mul_le_mul_of_nonneg_left ?_ (norm_nonneg l)) exact injectiveSeminorm_tprod_le x) left_inv f := by ext x; simp only [LinearMap.mkContinuous_coe, LinearEquiv.symm_apply_apply, MultilinearMap.coe_mkContinuous, ContinuousMultilinearMap.coe_coe] right_inv l := by rw [← ContinuousLinearMap.coe_inj] apply PiTensorProduct.ext; ext m simp only [lift_symm, LinearMap.mkContinuous_coe, LinearMap.compMultilinearMap_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous, ContinuousLinearMap.coe_coe] noncomputable def liftIsometry : ContinuousMultilinearMap 𝕜 E F ≃ₗᵢ[𝕜] (⨂[𝕜] i, E i) →L[𝕜] F := { liftEquiv 𝕜 E F with norm_map' := by intro f refine le_antisymm ?_ ?_ · simp only [liftEquiv, lift_symm, LinearEquiv.coe_mk] exact LinearMap.mkContinuous_norm_le _ (norm_nonneg f) _ · conv_lhs => rw [← (liftEquiv 𝕜 E F).left_inv f] simp only [liftEquiv, lift_symm, AddHom.toFun_eq_coe, AddHom.coe_mk, LinearEquiv.invFun_eq_symm, LinearEquiv.coe_symm_mk, LinearMap.mkContinuous_coe, LinearEquiv.coe_mk] exact MultilinearMap.mkContinuous_norm_le _ (norm_nonneg _) _ } variable {𝕜 E F} @[simp] theorem liftIsometry_apply_apply (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) : liftIsometry 𝕜 E F f x = lift f.toMultilinearMap x := by simp only [liftIsometry, LinearIsometryEquiv.coe_mk, liftEquiv_apply, LinearMap.mkContinuous_apply] variable (𝕜) @[simps!] noncomputable def tprodL : ContinuousMultilinearMap 𝕜 E (⨂[𝕜] i, E i) := (liftIsometry 𝕜 E _).symm (ContinuousLinearMap.id 𝕜 _) variable {𝕜} @[simp] theorem tprodL_coe : (tprodL 𝕜).toMultilinearMap = tprod 𝕜 (s := E) := by ext m simp only [ContinuousMultilinearMap.coe_coe, tprodL_toFun] @[simp] theorem liftIsometry_symm_apply (l : (⨂[𝕜] i, E i) →L[𝕜] F) : (liftIsometry 𝕜 E F).symm l = l.compContinuousMultilinearMap (tprodL 𝕜) := by ext m change (liftEquiv 𝕜 E F).symm l m = _ simp only [liftEquiv_symm_apply, lift_symm, MultilinearMap.coe_mkContinuous, LinearMap.compMultilinearMap_apply, ContinuousLinearMap.coe_coe, ContinuousLinearMap.compContinuousMultilinearMap_coe, Function.comp_apply, tprodL_toFun] @[simp]
Mathlib/Analysis/NormedSpace/PiTensorProduct/InjectiveSeminorm.lean
313
317
theorem liftIsometry_tprodL : liftIsometry 𝕜 E _ (tprodL 𝕜) = ContinuousLinearMap.id 𝕜 (⨂[𝕜] i, E i) := by
ext _ simp only [liftIsometry_apply_apply, tprodL_coe, lift_tprod, LinearMap.id_coe, id_eq, ContinuousLinearMap.coe_id']
import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.LinearAlgebra.Finsupp import Mathlib.Tactic.FinCases #align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open Affine namespace Finset theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by ext x fin_cases x <;> simp #align finset.univ_fin2 Finset.univ_fin2 variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [S : AffineSpace V P] variable {ι : Type*} (s : Finset ι) variable {ι₂ : Type*} (s₂ : Finset ι₂) def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V := ∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b) #align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint @[simp] theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) : s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by simp [weightedVSubOfPoint, LinearMap.sum_apply] #align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply @[simp (high)] theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) : s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by rw [weightedVSubOfPoint_apply, sum_smul] #align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) : s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by simp_rw [weightedVSubOfPoint_apply] refine sum_congr rfl fun i hi => ?_ rw [hw i hi, hp i hi] #align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k) (hw : ∀ i, i ≠ j → w₁ i = w₂ i) : s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by simp only [Finset.weightedVSubOfPoint_apply] congr ext i rcases eq_or_ne i j with h | h · simp [h] · simp [hw i h] #align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by apply eq_of_sub_eq_zero rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib] conv_lhs => congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, zero_smul] #align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V, vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ← sum_sub_distrib] conv_lhs => congr · skip · congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self] #align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one @[simp (high)] theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_erase rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase @[simp (high)] theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_insert_zero rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] exact Eq.symm <| sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _ #align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) : (s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by simp_rw [weightedVSubOfPoint_apply] exact Finset.sum_map _ _ _ #align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right] #align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, sum_sdiff h] #align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) = s.weightedVSubOfPoint p b w := by rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h] #align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) = (s.filter pred).weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter] #align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne] intro i hi hne refine h i hi ?_ intro hw simp [hw] at hne #align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) : s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul] #align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V := s.weightedVSubOfPoint p (Classical.choice S.nonempty) #align finset.weighted_vsub Finset.weightedVSub theorem weightedVSub_apply (w : ι → k) (p : ι → P) : s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by simp [weightedVSub, LinearMap.sum_apply] #align finset.weighted_vsub_apply Finset.weightedVSub_apply theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w := s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _ #align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero @[simp] theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) : s.weightedVSub (fun _ => p) w = 0 := by rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul] #align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const @[simp] theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by simp [weightedVSub_apply] #align finset.weighted_vsub_empty Finset.weightedVSub_empty theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ := s.weightedVSubOfPoint_congr hw hp _ #align finset.weighted_vsub_congr Finset.weightedVSub_congr theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) := weightedVSubOfPoint_indicator_subset _ _ _ h #align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) := s₂.weightedVSubOfPoint_map _ _ _ _ #align finset.weighted_vsub_map Finset.weightedVSub_map theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w := s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero] #align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub] #align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff h _ _ _ #align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff_sub h _ _ _ #align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) = (s.filter pred).weightedVSub p w := s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _ #align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_filter_of_ne _ _ _ h #align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) : s.weightedVSub p (c • w) = c • s.weightedVSub p w := s.weightedVSubOfPoint_const_smul _ _ _ _ #align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor variable (k) def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty linear := s.weightedVSub p map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add] #align finset.affine_combination Finset.affineCombination @[simp] theorem affineCombination_linear (p : ι → P) : (s.affineCombination k p).linear = s.weightedVSub p := rfl #align finset.affine_combination_linear Finset.affineCombination_linear variable {k} theorem affineCombination_apply (w : ι → k) (p : ι → P) : (s.affineCombination k p) w = s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty := rfl #align finset.affine_combination_apply Finset.affineCombination_apply @[simp] theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) : s.affineCombination k (fun _ => p) w = p := by rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd] #align finset.affine_combination_apply_const Finset.affineCombination_apply_const theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp] #align finset.affine_combination_congr Finset.affineCombination_congr theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b : P) : s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b := s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _ #align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) : s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear] #align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) : s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub] #align finset.affine_combination_vsub Finset.affineCombination_vsub theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P) (hf : Function.Injective f) : s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff, Function.comp_apply, AffineMap.coe_mk] let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty) let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty) change univ.sum g₁ = (image f univ).sum g₂ have hgf : g₁ = g₂ ∘ f := by ext simp rw [hgf, sum_image] · simp only [Function.comp_apply] · exact fun _ _ _ _ hxy => hf hxy #align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective theorem attach_affineCombination_coe (s : Finset P) (w : P → k) : s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective, univ_eq_attach, attach_image_val] #align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe @[simp] theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V} (hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw] #align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination @[simp] theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k) (hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0] #align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination @[simp] theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s) (hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his) rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i), weightedVSubOfPoint_apply] convert zero_vadd V (p i) refine sum_eq_zero ?_ intro i2 hi2 by_cases h : i2 = i · simp [h] · simp [hw0 i2 hi2 h] #align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_indicator_subset _ _ _ h] #align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by simp_rw [affineCombination_apply, weightedVSubOfPoint_map] #align finset.affine_combination_map Finset.affineCombination_map theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_affine_combination_vsub Finset.sum_smul_vsub_eq_affineCombination_vsub theorem sum_smul_vsub_const_eq_affineCombination_vsub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.affineCombination k p₁ w -ᵥ p₂ := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_vsub_const_eq_affine_combination_vsub Finset.sum_smul_vsub_const_eq_affineCombination_vsub theorem sum_smul_const_vsub_eq_vsub_affineCombination (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = p₁ -ᵥ s.affineCombination k p₂ w := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_const_vsub_eq_vsub_affine_combination Finset.sum_smul_const_vsub_eq_vsub_affineCombination theorem affineCombination_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).affineCombination k p w -ᵥ s₂.affineCombination k p (-w) = s.weightedVSub p w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.weightedVSub_sdiff_sub h _ _ #align finset.affine_combination_sdiff_sub Finset.affineCombination_sdiff_sub
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
535
545
theorem affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one {w : ι → k} {p : ι → P} (hw : s.weightedVSub p w = (0 : V)) {i : ι} [DecidablePred (· ≠ i)] (his : i ∈ s) (hwi : w i = -1) : (s.filter (· ≠ i)).affineCombination k p w = p i := by
classical rw [← @vsub_eq_zero_iff_eq V, ← hw, ← s.affineCombination_sdiff_sub (singleton_subset_iff.2 his), sdiff_singleton_eq_erase, ← filter_ne'] congr refine (affineCombination_of_eq_one_of_eq_zero _ _ _ (mem_singleton_self _) ?_ ?_).symm · simp [hwi] · simp
import Mathlib.Probability.Kernel.MeasurableIntegral #align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b" open MeasureTheory open scoped ENNReal namespace ProbabilityTheory namespace kernel variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} section CompositionProduct variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)} noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) : ℝ≥0∞ := ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a #align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun
Mathlib/Probability/Kernel/Composition.lean
93
96
theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) : compProdFun κ η a ∅ = 0 := by
simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty, MeasureTheory.lintegral_const, zero_mul]
import Mathlib.Topology.MetricSpace.Basic #align_import topology.metric_space.infsep from "leanprover-community/mathlib"@"5316314b553dcf8c6716541851517c1a9715e22b" variable {α β : Type*} namespace Set section Einfsep open ENNReal open Function noncomputable def einfsep [EDist α] (s : Set α) : ℝ≥0∞ := ⨅ (x ∈ s) (y ∈ s) (_ : x ≠ y), edist x y #align set.einfsep Set.einfsep section EDist variable [EDist α] {x y : α} {s t : Set α} theorem le_einfsep_iff {d} : d ≤ s.einfsep ↔ ∀ x ∈ s, ∀ y ∈ s, x ≠ y → d ≤ edist x y := by simp_rw [einfsep, le_iInf_iff] #align set.le_einfsep_iff Set.le_einfsep_iff theorem einfsep_zero : s.einfsep = 0 ↔ ∀ C > 0, ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < C := by simp_rw [einfsep, ← _root_.bot_eq_zero, iInf_eq_bot, iInf_lt_iff, exists_prop] #align set.einfsep_zero Set.einfsep_zero theorem einfsep_pos : 0 < s.einfsep ↔ ∃ C > 0, ∀ x ∈ s, ∀ y ∈ s, x ≠ y → C ≤ edist x y := by rw [pos_iff_ne_zero, Ne, einfsep_zero] simp only [not_forall, not_exists, not_lt, exists_prop, not_and] #align set.einfsep_pos Set.einfsep_pos theorem einfsep_top : s.einfsep = ∞ ↔ ∀ x ∈ s, ∀ y ∈ s, x ≠ y → edist x y = ∞ := by simp_rw [einfsep, iInf_eq_top] #align set.einfsep_top Set.einfsep_top theorem einfsep_lt_top : s.einfsep < ∞ ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < ∞ := by simp_rw [einfsep, iInf_lt_iff, exists_prop] #align set.einfsep_lt_top Set.einfsep_lt_top theorem einfsep_ne_top : s.einfsep ≠ ∞ ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y ≠ ∞ := by simp_rw [← lt_top_iff_ne_top, einfsep_lt_top] #align set.einfsep_ne_top Set.einfsep_ne_top theorem einfsep_lt_iff {d} : s.einfsep < d ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < d := by simp_rw [einfsep, iInf_lt_iff, exists_prop] #align set.einfsep_lt_iff Set.einfsep_lt_iff theorem nontrivial_of_einfsep_lt_top (hs : s.einfsep < ∞) : s.Nontrivial := by rcases einfsep_lt_top.1 hs with ⟨_, hx, _, hy, hxy, _⟩ exact ⟨_, hx, _, hy, hxy⟩ #align set.nontrivial_of_einfsep_lt_top Set.nontrivial_of_einfsep_lt_top theorem nontrivial_of_einfsep_ne_top (hs : s.einfsep ≠ ∞) : s.Nontrivial := nontrivial_of_einfsep_lt_top (lt_top_iff_ne_top.mpr hs) #align set.nontrivial_of_einfsep_ne_top Set.nontrivial_of_einfsep_ne_top theorem Subsingleton.einfsep (hs : s.Subsingleton) : s.einfsep = ∞ := by rw [einfsep_top] exact fun _ hx _ hy hxy => (hxy <| hs hx hy).elim #align set.subsingleton.einfsep Set.Subsingleton.einfsep theorem le_einfsep_image_iff {d} {f : β → α} {s : Set β} : d ≤ einfsep (f '' s) ↔ ∀ x ∈ s, ∀ y ∈ s, f x ≠ f y → d ≤ edist (f x) (f y) := by simp_rw [le_einfsep_iff, forall_mem_image] #align set.le_einfsep_image_iff Set.le_einfsep_image_iff theorem le_edist_of_le_einfsep {d x} (hx : x ∈ s) {y} (hy : y ∈ s) (hxy : x ≠ y) (hd : d ≤ s.einfsep) : d ≤ edist x y := le_einfsep_iff.1 hd x hx y hy hxy #align set.le_edist_of_le_einfsep Set.le_edist_of_le_einfsep theorem einfsep_le_edist_of_mem {x} (hx : x ∈ s) {y} (hy : y ∈ s) (hxy : x ≠ y) : s.einfsep ≤ edist x y := le_edist_of_le_einfsep hx hy hxy le_rfl #align set.einfsep_le_edist_of_mem Set.einfsep_le_edist_of_mem theorem einfsep_le_of_mem_of_edist_le {d x} (hx : x ∈ s) {y} (hy : y ∈ s) (hxy : x ≠ y) (hxy' : edist x y ≤ d) : s.einfsep ≤ d := le_trans (einfsep_le_edist_of_mem hx hy hxy) hxy' #align set.einfsep_le_of_mem_of_edist_le Set.einfsep_le_of_mem_of_edist_le theorem le_einfsep {d} (h : ∀ x ∈ s, ∀ y ∈ s, x ≠ y → d ≤ edist x y) : d ≤ s.einfsep := le_einfsep_iff.2 h #align set.le_einfsep Set.le_einfsep @[simp] theorem einfsep_empty : (∅ : Set α).einfsep = ∞ := subsingleton_empty.einfsep #align set.einfsep_empty Set.einfsep_empty @[simp] theorem einfsep_singleton : ({x} : Set α).einfsep = ∞ := subsingleton_singleton.einfsep #align set.einfsep_singleton Set.einfsep_singleton theorem einfsep_iUnion_mem_option {ι : Type*} (o : Option ι) (s : ι → Set α) : (⋃ i ∈ o, s i).einfsep = ⨅ i ∈ o, (s i).einfsep := by cases o <;> simp #align set.einfsep_Union_mem_option Set.einfsep_iUnion_mem_option theorem einfsep_anti (hst : s ⊆ t) : t.einfsep ≤ s.einfsep := le_einfsep fun _x hx _y hy => einfsep_le_edist_of_mem (hst hx) (hst hy) #align set.einfsep_anti Set.einfsep_anti
Mathlib/Topology/MetricSpace/Infsep.lean
140
142
theorem einfsep_insert_le : (insert x s).einfsep ≤ ⨅ (y ∈ s) (_ : x ≠ y), edist x y := by
simp_rw [le_iInf_iff] exact fun _ hy hxy => einfsep_le_edist_of_mem (mem_insert _ _) (mem_insert_of_mem _ hy) hxy
import Mathlib.Algebra.CharZero.Defs import Mathlib.Algebra.Group.Hom.Defs import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Algebra.Order.Monoid.OrderDual import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.Nat.Cast.Defs import Mathlib.Order.WithBot #align_import algebra.order.monoid.with_top from "leanprover-community/mathlib"@"0111834459f5d7400215223ea95ae38a1265a907" universe u v variable {α : Type u} {β : Type v} open Function namespace WithTop section Add variable [Add α] {a b c d : WithTop α} {x y : α} instance add : Add (WithTop α) := ⟨Option.map₂ (· + ·)⟩ #align with_top.has_add WithTop.add @[simp, norm_cast] lemma coe_add (a b : α) : ↑(a + b) = (a + b : WithTop α) := rfl #align with_top.coe_add WithTop.coe_add #noalign with_top.coe_bit0 #noalign with_top.coe_bit1 @[simp] theorem top_add (a : WithTop α) : ⊤ + a = ⊤ := rfl #align with_top.top_add WithTop.top_add @[simp] theorem add_top (a : WithTop α) : a + ⊤ = ⊤ := by cases a <;> rfl #align with_top.add_top WithTop.add_top @[simp] theorem add_eq_top : a + b = ⊤ ↔ a = ⊤ ∨ b = ⊤ := by match a, b with | ⊤, _ => simp | _, ⊤ => simp | (a : α), (b : α) => simp only [← coe_add, coe_ne_top, or_false] #align with_top.add_eq_top WithTop.add_eq_top theorem add_ne_top : a + b ≠ ⊤ ↔ a ≠ ⊤ ∧ b ≠ ⊤ := add_eq_top.not.trans not_or #align with_top.add_ne_top WithTop.add_ne_top theorem add_lt_top [LT α] {a b : WithTop α} : a + b < ⊤ ↔ a < ⊤ ∧ b < ⊤ := by simp_rw [WithTop.lt_top_iff_ne_top, add_ne_top] #align with_top.add_lt_top WithTop.add_lt_top theorem add_eq_coe : ∀ {a b : WithTop α} {c : α}, a + b = c ↔ ∃ a' b' : α, ↑a' = a ∧ ↑b' = b ∧ a' + b' = c | ⊤, b, c => by simp | some a, ⊤, c => by simp | some a, some b, c => by norm_cast; simp #align with_top.add_eq_coe WithTop.add_eq_coe -- Porting note (#10618): simp can already prove this. -- @[simp]
Mathlib/Algebra/Order/Monoid/WithTop.lean
156
156
theorem add_coe_eq_top_iff {x : WithTop α} {y : α} : x + y = ⊤ ↔ x = ⊤ := by
simp
import Mathlib.CategoryTheory.Sites.Grothendieck import Mathlib.CategoryTheory.Sites.Pretopology import Mathlib.CategoryTheory.Limits.Lattice import Mathlib.Topology.Sets.Opens #align_import category_theory.sites.spaces from "leanprover-community/mathlib"@"b6fa3beb29f035598cf0434d919694c5e98091eb" universe u namespace Opens variable (T : Type u) [TopologicalSpace T] open CategoryTheory TopologicalSpace CategoryTheory.Limits def grothendieckTopology : GrothendieckTopology (Opens T) where sieves X S := ∀ x ∈ X, ∃ (U : _) (f : U ⟶ X), S f ∧ x ∈ U top_mem' X x hx := ⟨_, 𝟙 _, trivial, hx⟩ pullback_stable' X Y S f hf y hy := by rcases hf y (f.le hy) with ⟨U, g, hg, hU⟩ refine ⟨U ⊓ Y, homOfLE inf_le_right, ?_, hU, hy⟩ apply S.downward_closed hg (homOfLE inf_le_left) transitive' X S hS R hR x hx := by rcases hS x hx with ⟨U, f, hf, hU⟩ rcases hR hf _ hU with ⟨V, g, hg, hV⟩ exact ⟨_, g ≫ f, hg, hV⟩ #align opens.grothendieck_topology Opens.grothendieckTopology def pretopology : Pretopology (Opens T) where coverings X R := ∀ x ∈ X, ∃ (U : _) (f : U ⟶ X), R f ∧ x ∈ U has_isos X Y f i x hx := ⟨_, _, Presieve.singleton_self _, (inv f).le hx⟩ pullbacks X Y f S hS x hx := by rcases hS _ (f.le hx) with ⟨U, g, hg, hU⟩ refine ⟨_, _, Presieve.pullbackArrows.mk _ _ hg, ?_⟩ have : U ⊓ Y ≤ pullback g f := leOfHom (pullback.lift (homOfLE inf_le_left) (homOfLE inf_le_right) rfl) apply this ⟨hU, hx⟩ transitive X S Ti hS hTi x hx := by rcases hS x hx with ⟨U, f, hf, hU⟩ rcases hTi f hf x hU with ⟨V, g, hg, hV⟩ exact ⟨_, _, ⟨_, g, f, hf, hg, rfl⟩, hV⟩ #align opens.pretopology Opens.pretopology @[simp] theorem pretopology_ofGrothendieck : Pretopology.ofGrothendieck _ (Opens.grothendieckTopology T) = Opens.pretopology T := by apply le_antisymm · intro X R hR x hx rcases hR x hx with ⟨U, f, ⟨V, g₁, g₂, hg₂, _⟩, hU⟩ exact ⟨V, g₂, hg₂, g₁.le hU⟩ · intro X R hR x hx rcases hR x hx with ⟨U, f, hf, hU⟩ exact ⟨U, f, Sieve.le_generate R U hf, hU⟩ #align opens.pretopology_of_grothendieck Opens.pretopology_ofGrothendieck @[simp]
Mathlib/CategoryTheory/Sites/Spaces.lean
92
95
theorem pretopology_toGrothendieck : Pretopology.toGrothendieck _ (Opens.pretopology T) = Opens.grothendieckTopology T := by
rw [← pretopology_ofGrothendieck] apply (Pretopology.gi (Opens T)).l_u_eq
import Mathlib.Data.Set.Image import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.with_bot_top from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" open Set variable {α : Type*} namespace WithTop @[simp] theorem preimage_coe_top : (some : α → WithTop α) ⁻¹' {⊤} = (∅ : Set α) := eq_empty_of_subset_empty fun _ => coe_ne_top #align with_top.preimage_coe_top WithTop.preimage_coe_top variable [Preorder α] {a b : α}
Mathlib/Order/Interval/Set/WithBotTop.lean
33
35
theorem range_coe : range (some : α → WithTop α) = Iio ⊤ := by
ext x rw [mem_Iio, WithTop.lt_top_iff_ne_top, mem_range, ne_top_iff_exists]
import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.degree.lemmas from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f" noncomputable section open Polynomial open Finsupp Finset namespace Polynomial universe u v w variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} section NoZeroDivisors variable [Semiring R] [NoZeroDivisors R] {p q : R[X]} {a : R} theorem degree_mul_C (a0 : a ≠ 0) : (p * C a).degree = p.degree := by rw [degree_mul, degree_C a0, add_zero] set_option linter.uppercaseLean3 false in #align polynomial.degree_mul_C Polynomial.degree_mul_C theorem degree_C_mul (a0 : a ≠ 0) : (C a * p).degree = p.degree := by rw [degree_mul, degree_C a0, zero_add] set_option linter.uppercaseLean3 false in #align polynomial.degree_C_mul Polynomial.degree_C_mul
Mathlib/Algebra/Polynomial/Degree/Lemmas.lean
366
367
theorem natDegree_mul_C (a0 : a ≠ 0) : (p * C a).natDegree = p.natDegree := by
simp only [natDegree, degree_mul_C a0]
import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.LinearAlgebra.Finsupp import Mathlib.Tactic.FinCases #align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open Affine namespace Finset theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by ext x fin_cases x <;> simp #align finset.univ_fin2 Finset.univ_fin2 variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [S : AffineSpace V P] variable {ι : Type*} (s : Finset ι) variable {ι₂ : Type*} (s₂ : Finset ι₂) def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V := ∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b) #align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint @[simp] theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) : s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by simp [weightedVSubOfPoint, LinearMap.sum_apply] #align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply @[simp (high)] theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) : s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by rw [weightedVSubOfPoint_apply, sum_smul] #align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) : s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by simp_rw [weightedVSubOfPoint_apply] refine sum_congr rfl fun i hi => ?_ rw [hw i hi, hp i hi] #align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k) (hw : ∀ i, i ≠ j → w₁ i = w₂ i) : s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by simp only [Finset.weightedVSubOfPoint_apply] congr ext i rcases eq_or_ne i j with h | h · simp [h] · simp [hw i h] #align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by apply eq_of_sub_eq_zero rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib] conv_lhs => congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, zero_smul] #align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V, vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ← sum_sub_distrib] conv_lhs => congr · skip · congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self] #align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one @[simp (high)] theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_erase rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase @[simp (high)] theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_insert_zero rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] exact Eq.symm <| sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _ #align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) : (s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by simp_rw [weightedVSubOfPoint_apply] exact Finset.sum_map _ _ _ #align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right] #align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, sum_sdiff h] #align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) = s.weightedVSubOfPoint p b w := by rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h] #align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) = (s.filter pred).weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter] #align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne] intro i hi hne refine h i hi ?_ intro hw simp [hw] at hne #align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) : s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul] #align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V := s.weightedVSubOfPoint p (Classical.choice S.nonempty) #align finset.weighted_vsub Finset.weightedVSub theorem weightedVSub_apply (w : ι → k) (p : ι → P) : s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by simp [weightedVSub, LinearMap.sum_apply] #align finset.weighted_vsub_apply Finset.weightedVSub_apply theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w := s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _ #align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero @[simp] theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) : s.weightedVSub (fun _ => p) w = 0 := by rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul] #align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const @[simp] theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by simp [weightedVSub_apply] #align finset.weighted_vsub_empty Finset.weightedVSub_empty theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ := s.weightedVSubOfPoint_congr hw hp _ #align finset.weighted_vsub_congr Finset.weightedVSub_congr theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) := weightedVSubOfPoint_indicator_subset _ _ _ h #align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) := s₂.weightedVSubOfPoint_map _ _ _ _ #align finset.weighted_vsub_map Finset.weightedVSub_map theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w := s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero] #align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub] #align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff h _ _ _ #align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff_sub h _ _ _ #align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) = (s.filter pred).weightedVSub p w := s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _ #align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_filter_of_ne _ _ _ h #align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) : s.weightedVSub p (c • w) = c • s.weightedVSub p w := s.weightedVSubOfPoint_const_smul _ _ _ _ #align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor variable (k) def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty linear := s.weightedVSub p map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add] #align finset.affine_combination Finset.affineCombination @[simp] theorem affineCombination_linear (p : ι → P) : (s.affineCombination k p).linear = s.weightedVSub p := rfl #align finset.affine_combination_linear Finset.affineCombination_linear variable {k} theorem affineCombination_apply (w : ι → k) (p : ι → P) : (s.affineCombination k p) w = s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty := rfl #align finset.affine_combination_apply Finset.affineCombination_apply @[simp] theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) : s.affineCombination k (fun _ => p) w = p := by rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd] #align finset.affine_combination_apply_const Finset.affineCombination_apply_const theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp] #align finset.affine_combination_congr Finset.affineCombination_congr theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b : P) : s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b := s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _ #align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) : s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear] #align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) : s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub] #align finset.affine_combination_vsub Finset.affineCombination_vsub theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P) (hf : Function.Injective f) : s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff, Function.comp_apply, AffineMap.coe_mk] let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty) let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty) change univ.sum g₁ = (image f univ).sum g₂ have hgf : g₁ = g₂ ∘ f := by ext simp rw [hgf, sum_image] · simp only [Function.comp_apply] · exact fun _ _ _ _ hxy => hf hxy #align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective theorem attach_affineCombination_coe (s : Finset P) (w : P → k) : s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective, univ_eq_attach, attach_image_val] #align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe @[simp] theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V} (hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw] #align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination @[simp] theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k) (hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0] #align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination @[simp] theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s) (hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his) rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i), weightedVSubOfPoint_apply] convert zero_vadd V (p i) refine sum_eq_zero ?_ intro i2 hi2 by_cases h : i2 = i · simp [h] · simp [hw0 i2 hi2 h] #align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_indicator_subset _ _ _ h] #align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by simp_rw [affineCombination_apply, weightedVSubOfPoint_map] #align finset.affine_combination_map Finset.affineCombination_map theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_affine_combination_vsub Finset.sum_smul_vsub_eq_affineCombination_vsub theorem sum_smul_vsub_const_eq_affineCombination_vsub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.affineCombination k p₁ w -ᵥ p₂ := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_vsub_const_eq_affine_combination_vsub Finset.sum_smul_vsub_const_eq_affineCombination_vsub theorem sum_smul_const_vsub_eq_vsub_affineCombination (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = p₁ -ᵥ s.affineCombination k p₂ w := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_const_vsub_eq_vsub_affine_combination Finset.sum_smul_const_vsub_eq_vsub_affineCombination theorem affineCombination_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).affineCombination k p w -ᵥ s₂.affineCombination k p (-w) = s.weightedVSub p w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.weightedVSub_sdiff_sub h _ _ #align finset.affine_combination_sdiff_sub Finset.affineCombination_sdiff_sub theorem affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one {w : ι → k} {p : ι → P} (hw : s.weightedVSub p w = (0 : V)) {i : ι} [DecidablePred (· ≠ i)] (his : i ∈ s) (hwi : w i = -1) : (s.filter (· ≠ i)).affineCombination k p w = p i := by classical rw [← @vsub_eq_zero_iff_eq V, ← hw, ← s.affineCombination_sdiff_sub (singleton_subset_iff.2 his), sdiff_singleton_eq_erase, ← filter_ne'] congr refine (affineCombination_of_eq_one_of_eq_zero _ _ _ (mem_singleton_self _) ?_ ?_).symm · simp [hwi] · simp #align finset.affine_combination_eq_of_weighted_vsub_eq_zero_of_eq_neg_one Finset.affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one theorem affineCombination_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).affineCombination k (fun i => p i) fun i => w i) = (s.filter pred).affineCombination k p w := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_subtype_eq_filter] #align finset.affine_combination_subtype_eq_filter Finset.affineCombination_subtype_eq_filter theorem affineCombination_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).affineCombination k p w = s.affineCombination k p w := by rw [affineCombination_apply, affineCombination_apply, s.weightedVSubOfPoint_filter_of_ne _ _ _ h] #align finset.affine_combination_filter_of_ne Finset.affineCombination_filter_of_ne theorem eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype {v : V} {x : k} {s : Set ι} {p : ι → P} {b : P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = x ∧ v = fs.weightedVSubOfPoint p b w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = x ∧ v = fs.weightedVSubOfPoint (fun i : s => p i) b w := by classical simp_rw [weightedVSubOfPoint_apply] constructor · rintro ⟨fs, hfs, w, rfl, rfl⟩ exact ⟨fs.subtype s, fun i => w i, sum_subtype_of_mem _ hfs, (sum_subtype_of_mem _ hfs).symm⟩ · rintro ⟨fs, w, rfl, rfl⟩ refine ⟨fs.map (Function.Embedding.subtype _), map_subtype_subset _, fun i => if h : i ∈ s then w ⟨i, h⟩ else 0, ?_, ?_⟩ <;> simp #align finset.eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype Finset.eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype variable (k) theorem eq_weightedVSub_subset_iff_eq_weightedVSub_subtype {v : V} {s : Set ι} {p : ι → P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 0 ∧ v = fs.weightedVSub p w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 0 ∧ v = fs.weightedVSub (fun i : s => p i) w := eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype #align finset.eq_weighted_vsub_subset_iff_eq_weighted_vsub_subtype Finset.eq_weightedVSub_subset_iff_eq_weightedVSub_subtype variable (V) theorem eq_affineCombination_subset_iff_eq_affineCombination_subtype {p0 : P} {s : Set ι} {p : ι → P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 1 ∧ p0 = fs.affineCombination k p w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 1 ∧ p0 = fs.affineCombination k (fun i : s => p i) w := by simp_rw [affineCombination_apply, eq_vadd_iff_vsub_eq] exact eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype #align finset.eq_affine_combination_subset_iff_eq_affine_combination_subtype Finset.eq_affineCombination_subset_iff_eq_affineCombination_subtype variable {k V} theorem map_affineCombination {V₂ P₂ : Type*} [AddCommGroup V₂] [Module k V₂] [AffineSpace V₂ P₂] (p : ι → P) (w : ι → k) (hw : s.sum w = 1) (f : P →ᵃ[k] P₂) : f (s.affineCombination k p w) = s.affineCombination k (f ∘ p) w := by have b := Classical.choice (inferInstance : AffineSpace V P).nonempty have b₂ := Classical.choice (inferInstance : AffineSpace V₂ P₂).nonempty rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw b, s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w (f ∘ p) hw b₂, ← s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w (f ∘ p) hw (f b) b₂] simp only [weightedVSubOfPoint_apply, RingHom.id_apply, AffineMap.map_vadd, LinearMap.map_smulₛₗ, AffineMap.linearMap_vsub, map_sum, Function.comp_apply] #align finset.map_affine_combination Finset.map_affineCombination variable (k) def affineCombinationSingleWeights [DecidableEq ι] (i : ι) : ι → k := Function.update (Function.const ι 0) i 1 #align finset.affine_combination_single_weights Finset.affineCombinationSingleWeights @[simp] theorem affineCombinationSingleWeights_apply_self [DecidableEq ι] (i : ι) : affineCombinationSingleWeights k i i = 1 := by simp [affineCombinationSingleWeights] #align finset.affine_combination_single_weights_apply_self Finset.affineCombinationSingleWeights_apply_self @[simp]
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
653
654
theorem affineCombinationSingleWeights_apply_of_ne [DecidableEq ι] {i j : ι} (h : j ≠ i) : affineCombinationSingleWeights k i j = 0 := by
simp [affineCombinationSingleWeights, h]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.MeasureTheory.Constructions.Polish import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn #align_import measure_theory.function.jacobian from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5" open MeasureTheory MeasureTheory.Measure Metric Filter Set FiniteDimensional Asymptotics TopologicalSpace open scoped NNReal ENNReal Topology Pointwise variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {s : Set E} {f : E → E} {f' : E → E →L[ℝ] E} theorem exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F] (f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) : ∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F), (∀ n, IsClosed (t n)) ∧ (s ⊆ ⋃ n, t n) ∧ (∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧ (s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by -- exclude the trivial case where `s` is empty rcases eq_empty_or_nonempty s with (rfl | hs) · refine ⟨fun _ => ∅, fun _ => 0, ?_, ?_, ?_, ?_⟩ <;> simp -- we will use countably many linear maps. Select these from all the derivatives since the -- space of linear maps is second-countable obtain ⟨T, T_count, hT⟩ : ∃ T : Set s, T.Countable ∧ ⋃ x ∈ T, ball (f' (x : E)) (r (f' x)) = ⋃ x : s, ball (f' x) (r (f' x)) := TopologicalSpace.isOpen_iUnion_countable _ fun x => isOpen_ball -- fix a sequence `u` of positive reals tending to zero. obtain ⟨u, _, u_pos, u_lim⟩ : ∃ u : ℕ → ℝ, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) := exists_seq_strictAnti_tendsto (0 : ℝ) -- `M n z` is the set of points `x` such that `f y - f x` is close to `f' z (y - x)` for `y` -- in the ball of radius `u n` around `x`. let M : ℕ → T → Set E := fun n z => {x | x ∈ s ∧ ∀ y ∈ s ∩ ball x (u n), ‖f y - f x - f' z (y - x)‖ ≤ r (f' z) * ‖y - x‖} -- As `f` is differentiable everywhere on `s`, the sets `M n z` cover `s` by design. have s_subset : ∀ x ∈ s, ∃ (n : ℕ) (z : T), x ∈ M n z := by intro x xs obtain ⟨z, zT, hz⟩ : ∃ z ∈ T, f' x ∈ ball (f' (z : E)) (r (f' z)) := by have : f' x ∈ ⋃ z ∈ T, ball (f' (z : E)) (r (f' z)) := by rw [hT] refine mem_iUnion.2 ⟨⟨x, xs⟩, ?_⟩ simpa only [mem_ball, Subtype.coe_mk, dist_self] using (rpos (f' x)).bot_lt rwa [mem_iUnion₂, bex_def] at this obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ ‖f' x - f' z‖ + ε ≤ r (f' z) := by refine ⟨r (f' z) - ‖f' x - f' z‖, ?_, le_of_eq (by abel)⟩ simpa only [sub_pos] using mem_ball_iff_norm.mp hz obtain ⟨δ, δpos, hδ⟩ : ∃ (δ : ℝ), 0 < δ ∧ ball x δ ∩ s ⊆ {y | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} := Metric.mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos) obtain ⟨n, hn⟩ : ∃ n, u n < δ := ((tendsto_order.1 u_lim).2 _ δpos).exists refine ⟨n, ⟨z, zT⟩, ⟨xs, ?_⟩⟩ intro y hy calc ‖f y - f x - (f' z) (y - x)‖ = ‖f y - f x - (f' x) (y - x) + (f' x - f' z) (y - x)‖ := by congr 1 simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply] abel _ ≤ ‖f y - f x - (f' x) (y - x)‖ + ‖(f' x - f' z) (y - x)‖ := norm_add_le _ _ _ ≤ ε * ‖y - x‖ + ‖f' x - f' z‖ * ‖y - x‖ := by refine add_le_add (hδ ?_) (ContinuousLinearMap.le_opNorm _ _) rw [inter_comm] exact inter_subset_inter_right _ (ball_subset_ball hn.le) hy _ ≤ r (f' z) * ‖y - x‖ := by rw [← add_mul, add_comm] gcongr -- the sets `M n z` are relatively closed in `s`, as all the conditions defining it are clearly -- closed have closure_M_subset : ∀ n z, s ∩ closure (M n z) ⊆ M n z := by rintro n z x ⟨xs, hx⟩ refine ⟨xs, fun y hy => ?_⟩ obtain ⟨a, aM, a_lim⟩ : ∃ a : ℕ → E, (∀ k, a k ∈ M n z) ∧ Tendsto a atTop (𝓝 x) := mem_closure_iff_seq_limit.1 hx have L1 : Tendsto (fun k : ℕ => ‖f y - f (a k) - (f' z) (y - a k)‖) atTop (𝓝 ‖f y - f x - (f' z) (y - x)‖) := by apply Tendsto.norm have L : Tendsto (fun k => f (a k)) atTop (𝓝 (f x)) := by apply (hf' x xs).continuousWithinAt.tendsto.comp apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ a_lim exact eventually_of_forall fun k => (aM k).1 apply Tendsto.sub (tendsto_const_nhds.sub L) exact ((f' z).continuous.tendsto _).comp (tendsto_const_nhds.sub a_lim) have L2 : Tendsto (fun k : ℕ => (r (f' z) : ℝ) * ‖y - a k‖) atTop (𝓝 (r (f' z) * ‖y - x‖)) := (tendsto_const_nhds.sub a_lim).norm.const_mul _ have I : ∀ᶠ k in atTop, ‖f y - f (a k) - (f' z) (y - a k)‖ ≤ r (f' z) * ‖y - a k‖ := by have L : Tendsto (fun k => dist y (a k)) atTop (𝓝 (dist y x)) := tendsto_const_nhds.dist a_lim filter_upwards [(tendsto_order.1 L).2 _ hy.2] intro k hk exact (aM k).2 y ⟨hy.1, hk⟩ exact le_of_tendsto_of_tendsto L1 L2 I -- choose a dense sequence `d p` rcases TopologicalSpace.exists_dense_seq E with ⟨d, hd⟩ -- split `M n z` into subsets `K n z p` of small diameters by intersecting with the ball -- `closedBall (d p) (u n / 3)`. let K : ℕ → T → ℕ → Set E := fun n z p => closure (M n z) ∩ closedBall (d p) (u n / 3) -- on the sets `K n z p`, the map `f` is well approximated by `f' z` by design. have K_approx : ∀ (n) (z : T) (p), ApproximatesLinearOn f (f' z) (s ∩ K n z p) (r (f' z)) := by intro n z p x hx y hy have yM : y ∈ M n z := closure_M_subset _ _ ⟨hy.1, hy.2.1⟩ refine yM.2 _ ⟨hx.1, ?_⟩ calc dist x y ≤ dist x (d p) + dist y (d p) := dist_triangle_right _ _ _ _ ≤ u n / 3 + u n / 3 := add_le_add hx.2.2 hy.2.2 _ < u n := by linarith [u_pos n] -- the sets `K n z p` are also closed, again by design. have K_closed : ∀ (n) (z : T) (p), IsClosed (K n z p) := fun n z p => isClosed_closure.inter isClosed_ball -- reindex the sets `K n z p`, to let them only depend on an integer parameter `q`. obtain ⟨F, hF⟩ : ∃ F : ℕ → ℕ × T × ℕ, Function.Surjective F := by haveI : Encodable T := T_count.toEncodable have : Nonempty T := by rcases hs with ⟨x, xs⟩ rcases s_subset x xs with ⟨n, z, _⟩ exact ⟨z⟩ inhabit ↥T exact ⟨_, Encodable.surjective_decode_iget (ℕ × T × ℕ)⟩ -- these sets `t q = K n z p` will do refine ⟨fun q => K (F q).1 (F q).2.1 (F q).2.2, fun q => f' (F q).2.1, fun n => K_closed _ _ _, fun x xs => ?_, fun q => K_approx _ _ _, fun _ q => ⟨(F q).2.1, (F q).2.1.1.2, rfl⟩⟩ -- the only fact that needs further checking is that they cover `s`. -- we already know that any point `x ∈ s` belongs to a set `M n z`. obtain ⟨n, z, hnz⟩ : ∃ (n : ℕ) (z : T), x ∈ M n z := s_subset x xs -- by density, it also belongs to a ball `closedBall (d p) (u n / 3)`. obtain ⟨p, hp⟩ : ∃ p : ℕ, x ∈ closedBall (d p) (u n / 3) := by have : Set.Nonempty (ball x (u n / 3)) := by simp only [nonempty_ball]; linarith [u_pos n] obtain ⟨p, hp⟩ : ∃ p : ℕ, d p ∈ ball x (u n / 3) := hd.exists_mem_open isOpen_ball this exact ⟨p, (mem_ball'.1 hp).le⟩ -- choose `q` for which `t q = K n z p`. obtain ⟨q, hq⟩ : ∃ q, F q = (n, z, p) := hF _ -- then `x` belongs to `t q`. apply mem_iUnion.2 ⟨q, _⟩ simp (config := { zeta := false }) only [K, hq, mem_inter_iff, hp, and_true] exact subset_closure hnz #align exists_closed_cover_approximates_linear_on_of_has_fderiv_within_at exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt variable [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] theorem exists_partition_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F] (f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) : ∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F), Pairwise (Disjoint on t) ∧ (∀ n, MeasurableSet (t n)) ∧ (s ⊆ ⋃ n, t n) ∧ (∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧ (s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by rcases exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' r rpos with ⟨t, A, t_closed, st, t_approx, ht⟩ refine ⟨disjointed t, A, disjoint_disjointed _, MeasurableSet.disjointed fun n => (t_closed n).measurableSet, ?_, ?_, ht⟩ · rw [iUnion_disjointed]; exact st · intro n; exact (t_approx n).mono_set (inter_subset_inter_right _ (disjointed_subset _ _)) #align exists_partition_approximates_linear_on_of_has_fderiv_within_at exists_partition_approximatesLinearOn_of_hasFDerivWithinAt namespace MeasureTheory theorem addHaar_image_le_mul_of_det_lt (A : E →L[ℝ] E) {m : ℝ≥0} (hm : ENNReal.ofReal |A.det| < m) : ∀ᶠ δ in 𝓝[>] (0 : ℝ≥0), ∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → μ (f '' s) ≤ m * μ s := by apply nhdsWithin_le_nhds let d := ENNReal.ofReal |A.det| -- construct a small neighborhood of `A '' (closedBall 0 1)` with measure comparable to -- the determinant of `A`. obtain ⟨ε, hε, εpos⟩ : ∃ ε : ℝ, μ (closedBall 0 ε + A '' closedBall 0 1) < m * μ (closedBall 0 1) ∧ 0 < ε := by have HC : IsCompact (A '' closedBall 0 1) := (ProperSpace.isCompact_closedBall _ _).image A.continuous have L0 : Tendsto (fun ε => μ (cthickening ε (A '' closedBall 0 1))) (𝓝[>] 0) (𝓝 (μ (A '' closedBall 0 1))) := by apply Tendsto.mono_left _ nhdsWithin_le_nhds exact tendsto_measure_cthickening_of_isCompact HC have L1 : Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0) (𝓝 (μ (A '' closedBall 0 1))) := by apply L0.congr' _ filter_upwards [self_mem_nhdsWithin] with r hr rw [← HC.add_closedBall_zero (le_of_lt hr), add_comm] have L2 : Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0) (𝓝 (d * μ (closedBall 0 1))) := by convert L1 exact (addHaar_image_continuousLinearMap _ _ _).symm have I : d * μ (closedBall 0 1) < m * μ (closedBall 0 1) := (ENNReal.mul_lt_mul_right (measure_closedBall_pos μ _ zero_lt_one).ne' measure_closedBall_lt_top.ne).2 hm have H : ∀ᶠ b : ℝ in 𝓝[>] 0, μ (closedBall 0 b + A '' closedBall 0 1) < m * μ (closedBall 0 1) := (tendsto_order.1 L2).2 _ I exact (H.and self_mem_nhdsWithin).exists have : Iio (⟨ε, εpos.le⟩ : ℝ≥0) ∈ 𝓝 (0 : ℝ≥0) := by apply Iio_mem_nhds; exact εpos filter_upwards [this] -- fix a function `f` which is close enough to `A`. intro δ hδ s f hf simp only [mem_Iio, ← NNReal.coe_lt_coe, NNReal.coe_mk] at hδ -- This function expands the volume of any ball by at most `m` have I : ∀ x r, x ∈ s → 0 ≤ r → μ (f '' (s ∩ closedBall x r)) ≤ m * μ (closedBall x r) := by intro x r xs r0 have K : f '' (s ∩ closedBall x r) ⊆ A '' closedBall 0 r + closedBall (f x) (ε * r) := by rintro y ⟨z, ⟨zs, zr⟩, rfl⟩ rw [mem_closedBall_iff_norm] at zr apply Set.mem_add.2 ⟨A (z - x), _, f z - f x - A (z - x) + f x, _, _⟩ · apply mem_image_of_mem simpa only [dist_eq_norm, mem_closedBall, mem_closedBall_zero_iff, sub_zero] using zr · rw [mem_closedBall_iff_norm, add_sub_cancel_right] calc ‖f z - f x - A (z - x)‖ ≤ δ * ‖z - x‖ := hf _ zs _ xs _ ≤ ε * r := by gcongr · simp only [map_sub, Pi.sub_apply] abel have : A '' closedBall 0 r + closedBall (f x) (ε * r) = {f x} + r • (A '' closedBall 0 1 + closedBall 0 ε) := by rw [smul_add, ← add_assoc, add_comm {f x}, add_assoc, smul_closedBall _ _ εpos.le, smul_zero, singleton_add_closedBall_zero, ← image_smul_set ℝ E E A, smul_closedBall _ _ zero_le_one, smul_zero, Real.norm_eq_abs, abs_of_nonneg r0, mul_one, mul_comm] rw [this] at K calc μ (f '' (s ∩ closedBall x r)) ≤ μ ({f x} + r • (A '' closedBall 0 1 + closedBall 0 ε)) := measure_mono K _ = ENNReal.ofReal (r ^ finrank ℝ E) * μ (A '' closedBall 0 1 + closedBall 0 ε) := by simp only [abs_of_nonneg r0, addHaar_smul, image_add_left, abs_pow, singleton_add, measure_preimage_add] _ ≤ ENNReal.ofReal (r ^ finrank ℝ E) * (m * μ (closedBall 0 1)) := by rw [add_comm]; gcongr _ = m * μ (closedBall x r) := by simp only [addHaar_closedBall' μ _ r0]; ring -- covering `s` by closed balls with total measure very close to `μ s`, one deduces that the -- measure of `f '' s` is at most `m * (μ s + a)` for any positive `a`. have J : ∀ᶠ a in 𝓝[>] (0 : ℝ≥0∞), μ (f '' s) ≤ m * (μ s + a) := by filter_upwards [self_mem_nhdsWithin] with a ha rw [mem_Ioi] at ha obtain ⟨t, r, t_count, ts, rpos, st, μt⟩ : ∃ (t : Set E) (r : E → ℝ), t.Countable ∧ t ⊆ s ∧ (∀ x : E, x ∈ t → 0 < r x) ∧ (s ⊆ ⋃ x ∈ t, closedBall x (r x)) ∧ (∑' x : ↥t, μ (closedBall (↑x) (r ↑x))) ≤ μ s + a := Besicovitch.exists_closedBall_covering_tsum_measure_le μ ha.ne' (fun _ => Ioi 0) s fun x _ δ δpos => ⟨δ / 2, by simp [half_pos δpos, δpos]⟩ haveI : Encodable t := t_count.toEncodable calc μ (f '' s) ≤ μ (⋃ x : t, f '' (s ∩ closedBall x (r x))) := by rw [biUnion_eq_iUnion] at st apply measure_mono rw [← image_iUnion, ← inter_iUnion] exact image_subset _ (subset_inter (Subset.refl _) st) _ ≤ ∑' x : t, μ (f '' (s ∩ closedBall x (r x))) := measure_iUnion_le _ _ ≤ ∑' x : t, m * μ (closedBall x (r x)) := (ENNReal.tsum_le_tsum fun x => I x (r x) (ts x.2) (rpos x x.2).le) _ ≤ m * (μ s + a) := by rw [ENNReal.tsum_mul_left]; gcongr -- taking the limit in `a`, one obtains the conclusion have L : Tendsto (fun a => (m : ℝ≥0∞) * (μ s + a)) (𝓝[>] 0) (𝓝 (m * (μ s + 0))) := by apply Tendsto.mono_left _ nhdsWithin_le_nhds apply ENNReal.Tendsto.const_mul (tendsto_const_nhds.add tendsto_id) simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff] rw [add_zero] at L exact ge_of_tendsto L J #align measure_theory.add_haar_image_le_mul_of_det_lt MeasureTheory.addHaar_image_le_mul_of_det_lt theorem mul_le_addHaar_image_of_lt_det (A : E →L[ℝ] E) {m : ℝ≥0} (hm : (m : ℝ≥0∞) < ENNReal.ofReal |A.det|) : ∀ᶠ δ in 𝓝[>] (0 : ℝ≥0), ∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → (m : ℝ≥0∞) * μ s ≤ μ (f '' s) := by apply nhdsWithin_le_nhds -- The assumption `hm` implies that `A` is invertible. If `f` is close enough to `A`, it is also -- invertible. One can then pass to the inverses, and deduce the estimate from -- `addHaar_image_le_mul_of_det_lt` applied to `f⁻¹` and `A⁻¹`. -- exclude first the trivial case where `m = 0`. rcases eq_or_lt_of_le (zero_le m) with (rfl | mpos) · filter_upwards simp only [forall_const, zero_mul, imp_true_iff, zero_le, ENNReal.coe_zero] have hA : A.det ≠ 0 := by intro h; simp only [h, ENNReal.not_lt_zero, ENNReal.ofReal_zero, abs_zero] at hm -- let `B` be the continuous linear equiv version of `A`. let B := A.toContinuousLinearEquivOfDetNeZero hA -- the determinant of `B.symm` is bounded by `m⁻¹` have I : ENNReal.ofReal |(B.symm : E →L[ℝ] E).det| < (m⁻¹ : ℝ≥0) := by simp only [ENNReal.ofReal, abs_inv, Real.toNNReal_inv, ContinuousLinearEquiv.det_coe_symm, ContinuousLinearMap.coe_toContinuousLinearEquivOfDetNeZero, ENNReal.coe_lt_coe] at hm ⊢ exact NNReal.inv_lt_inv mpos.ne' hm -- therefore, we may apply `addHaar_image_le_mul_of_det_lt` to `B.symm` and `m⁻¹`. obtain ⟨δ₀, δ₀pos, hδ₀⟩ : ∃ δ : ℝ≥0, 0 < δ ∧ ∀ (t : Set E) (g : E → E), ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t := by have : ∀ᶠ δ : ℝ≥0 in 𝓝[>] 0, ∀ (t : Set E) (g : E → E), ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t := addHaar_image_le_mul_of_det_lt μ B.symm I rcases (this.and self_mem_nhdsWithin).exists with ⟨δ₀, h, h'⟩ exact ⟨δ₀, h', h⟩ -- record smallness conditions for `δ` that will be needed to apply `hδ₀` below. have L1 : ∀ᶠ δ in 𝓝 (0 : ℝ≥0), Subsingleton E ∨ δ < ‖(B.symm : E →L[ℝ] E)‖₊⁻¹ := by by_cases h : Subsingleton E · simp only [h, true_or_iff, eventually_const] simp only [h, false_or_iff] apply Iio_mem_nhds simpa only [h, false_or_iff, inv_pos] using B.subsingleton_or_nnnorm_symm_pos have L2 : ∀ᶠ δ in 𝓝 (0 : ℝ≥0), ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ < δ₀ := by have : Tendsto (fun δ => ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ) (𝓝 0) (𝓝 (‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - 0)⁻¹ * 0)) := by rcases eq_or_ne ‖(B.symm : E →L[ℝ] E)‖₊ 0 with (H | H) · simpa only [H, zero_mul] using tendsto_const_nhds refine Tendsto.mul (tendsto_const_nhds.mul ?_) tendsto_id refine (Tendsto.sub tendsto_const_nhds tendsto_id).inv₀ ?_ simpa only [tsub_zero, inv_eq_zero, Ne] using H simp only [mul_zero] at this exact (tendsto_order.1 this).2 δ₀ δ₀pos -- let `δ` be small enough, and `f` approximated by `B` up to `δ`. filter_upwards [L1, L2] intro δ h1δ h2δ s f hf have hf' : ApproximatesLinearOn f (B : E →L[ℝ] E) s δ := by convert hf let F := hf'.toPartialEquiv h1δ -- the condition to be checked can be reformulated in terms of the inverse maps suffices H : μ (F.symm '' F.target) ≤ (m⁻¹ : ℝ≥0) * μ F.target by change (m : ℝ≥0∞) * μ F.source ≤ μ F.target rwa [← F.symm_image_target_eq_source, mul_comm, ← ENNReal.le_div_iff_mul_le, div_eq_mul_inv, mul_comm, ← ENNReal.coe_inv mpos.ne'] · apply Or.inl simpa only [ENNReal.coe_eq_zero, Ne] using mpos.ne' · simp only [ENNReal.coe_ne_top, true_or_iff, Ne, not_false_iff] -- as `f⁻¹` is well approximated by `B⁻¹`, the conclusion follows from `hδ₀` -- and our choice of `δ`. exact hδ₀ _ _ ((hf'.to_inv h1δ).mono_num h2δ.le) #align measure_theory.mul_le_add_haar_image_of_lt_det MeasureTheory.mul_le_addHaar_image_of_lt_det theorem _root_.ApproximatesLinearOn.norm_fderiv_sub_le {A : E →L[ℝ] E} {δ : ℝ≥0} (hf : ApproximatesLinearOn f A s δ) (hs : MeasurableSet s) (f' : E → E →L[ℝ] E) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) : ∀ᵐ x ∂μ.restrict s, ‖f' x - A‖₊ ≤ δ := by filter_upwards [Besicovitch.ae_tendsto_measure_inter_div μ s, ae_restrict_mem hs] -- start from a Lebesgue density point `x`, belonging to `s`. intro x hx xs -- consider an arbitrary vector `z`. apply ContinuousLinearMap.opNorm_le_bound _ δ.2 fun z => ?_ -- to show that `‖(f' x - A) z‖ ≤ δ ‖z‖`, it suffices to do it up to some error that vanishes -- asymptotically in terms of `ε > 0`. suffices H : ∀ ε, 0 < ε → ‖(f' x - A) z‖ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε by have : Tendsto (fun ε : ℝ => ((δ : ℝ) + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε) (𝓝[>] 0) (𝓝 ((δ + 0) * (‖z‖ + 0) + ‖f' x - A‖ * 0)) := Tendsto.mono_left (Continuous.tendsto (by continuity) 0) nhdsWithin_le_nhds simp only [add_zero, mul_zero] at this apply le_of_tendsto_of_tendsto tendsto_const_nhds this filter_upwards [self_mem_nhdsWithin] exact H -- fix a positive `ε`. intro ε εpos -- for small enough `r`, the rescaled ball `r • closedBall z ε` intersects `s`, as `x` is a -- density point have B₁ : ∀ᶠ r in 𝓝[>] (0 : ℝ), (s ∩ ({x} + r • closedBall z ε)).Nonempty := eventually_nonempty_inter_smul_of_density_one μ s x hx _ measurableSet_closedBall (measure_closedBall_pos μ z εpos).ne' obtain ⟨ρ, ρpos, hρ⟩ : ∃ ρ > 0, ball x ρ ∩ s ⊆ {y : E | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} := mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos) -- for small enough `r`, the rescaled ball `r • closedBall z ε` is included in the set where -- `f y - f x` is well approximated by `f' x (y - x)`. have B₂ : ∀ᶠ r in 𝓝[>] (0 : ℝ), {x} + r • closedBall z ε ⊆ ball x ρ := by apply nhdsWithin_le_nhds exact eventually_singleton_add_smul_subset isBounded_closedBall (ball_mem_nhds x ρpos) -- fix a small positive `r` satisfying the above properties, as well as a corresponding `y`. obtain ⟨r, ⟨y, ⟨ys, hy⟩⟩, rρ, rpos⟩ : ∃ r : ℝ, (s ∩ ({x} + r • closedBall z ε)).Nonempty ∧ {x} + r • closedBall z ε ⊆ ball x ρ ∧ 0 < r := (B₁.and (B₂.and self_mem_nhdsWithin)).exists -- write `y = x + r a` with `a ∈ closedBall z ε`. obtain ⟨a, az, ya⟩ : ∃ a, a ∈ closedBall z ε ∧ y = x + r • a := by simp only [mem_smul_set, image_add_left, mem_preimage, singleton_add] at hy rcases hy with ⟨a, az, ha⟩ exact ⟨a, az, by simp only [ha, add_neg_cancel_left]⟩ have norm_a : ‖a‖ ≤ ‖z‖ + ε := calc ‖a‖ = ‖z + (a - z)‖ := by simp only [add_sub_cancel] _ ≤ ‖z‖ + ‖a - z‖ := norm_add_le _ _ _ ≤ ‖z‖ + ε := add_le_add_left (mem_closedBall_iff_norm.1 az) _ -- use the approximation properties to control `(f' x - A) a`, and then `(f' x - A) z` as `z` is -- close to `a`. have I : r * ‖(f' x - A) a‖ ≤ r * (δ + ε) * (‖z‖ + ε) := calc r * ‖(f' x - A) a‖ = ‖(f' x - A) (r • a)‖ := by simp only [ContinuousLinearMap.map_smul, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le] _ = ‖f y - f x - A (y - x) - (f y - f x - (f' x) (y - x))‖ := by congr 1 simp only [ya, add_sub_cancel_left, sub_sub_sub_cancel_left, ContinuousLinearMap.coe_sub', eq_self_iff_true, sub_left_inj, Pi.sub_apply, ContinuousLinearMap.map_smul, smul_sub] _ ≤ ‖f y - f x - A (y - x)‖ + ‖f y - f x - (f' x) (y - x)‖ := norm_sub_le _ _ _ ≤ δ * ‖y - x‖ + ε * ‖y - x‖ := (add_le_add (hf _ ys _ xs) (hρ ⟨rρ hy, ys⟩)) _ = r * (δ + ε) * ‖a‖ := by simp only [ya, add_sub_cancel_left, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le] ring _ ≤ r * (δ + ε) * (‖z‖ + ε) := by gcongr calc ‖(f' x - A) z‖ = ‖(f' x - A) a + (f' x - A) (z - a)‖ := by congr 1 simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply] abel _ ≤ ‖(f' x - A) a‖ + ‖(f' x - A) (z - a)‖ := norm_add_le _ _ _ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ‖z - a‖ := by apply add_le_add · rw [mul_assoc] at I; exact (mul_le_mul_left rpos).1 I · apply ContinuousLinearMap.le_opNorm _ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε := by rw [mem_closedBall_iff_norm'] at az gcongr #align approximates_linear_on.norm_fderiv_sub_le ApproximatesLinearOn.norm_fderiv_sub_le theorem addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero (hf : DifferentiableOn ℝ f s) (hs : μ s = 0) : μ (f '' s) = 0 := by refine le_antisymm ?_ (zero_le _) have : ∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧ ∀ (t : Set E), ApproximatesLinearOn f A t δ → μ (f '' t) ≤ (Real.toNNReal |A.det| + 1 : ℝ≥0) * μ t := by intro A let m : ℝ≥0 := Real.toNNReal |A.det| + 1 have I : ENNReal.ofReal |A.det| < m := by simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, zero_lt_one, ENNReal.coe_lt_coe] rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩ exact ⟨δ, h', fun t ht => h t f ht⟩ choose δ hδ using this obtain ⟨t, A, _, _, t_cover, ht, -⟩ : ∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E), Pairwise (Disjoint on t) ∧ (∀ n : ℕ, MeasurableSet (t n)) ∧ (s ⊆ ⋃ n : ℕ, t n) ∧ (∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧ (s.Nonempty → ∀ n, ∃ y ∈ s, A n = fderivWithin ℝ f s y) := exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s (fderivWithin ℝ f s) (fun x xs => (hf x xs).hasFDerivWithinAt) δ fun A => (hδ A).1.ne' calc μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by apply measure_mono rw [← image_iUnion, ← inter_iUnion] exact image_subset f (subset_inter Subset.rfl t_cover) _ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _ _ ≤ ∑' n, (Real.toNNReal |(A n).det| + 1 : ℝ≥0) * μ (s ∩ t n) := by apply ENNReal.tsum_le_tsum fun n => ?_ apply (hδ (A n)).2 exact ht n _ ≤ ∑' n, ((Real.toNNReal |(A n).det| + 1 : ℝ≥0) : ℝ≥0∞) * 0 := by refine ENNReal.tsum_le_tsum fun n => mul_le_mul_left' ?_ _ exact le_trans (measure_mono inter_subset_left) (le_of_eq hs) _ = 0 := by simp only [tsum_zero, mul_zero] #align measure_theory.add_haar_image_eq_zero_of_differentiable_on_of_add_haar_eq_zero MeasureTheory.addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero
Mathlib/MeasureTheory/Function/Jacobian.lean
601
647
theorem addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (R : ℝ) (hs : s ⊆ closedBall 0 R) (ε : ℝ≥0) (εpos : 0 < ε) (h'f' : ∀ x ∈ s, (f' x).det = 0) : μ (f '' s) ≤ ε * μ (closedBall 0 R) := by
rcases eq_empty_or_nonempty s with (rfl | h's); · simp only [measure_empty, zero_le, image_empty] have : ∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧ ∀ (t : Set E), ApproximatesLinearOn f A t δ → μ (f '' t) ≤ (Real.toNNReal |A.det| + ε : ℝ≥0) * μ t := by intro A let m : ℝ≥0 := Real.toNNReal |A.det| + ε have I : ENNReal.ofReal |A.det| < m := by simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, εpos, ENNReal.coe_lt_coe] rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩ exact ⟨δ, h', fun t ht => h t f ht⟩ choose δ hδ using this obtain ⟨t, A, t_disj, t_meas, t_cover, ht, Af'⟩ : ∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E), Pairwise (Disjoint on t) ∧ (∀ n : ℕ, MeasurableSet (t n)) ∧ (s ⊆ ⋃ n : ℕ, t n) ∧ (∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧ (s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' δ fun A => (hδ A).1.ne' calc μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by rw [← image_iUnion, ← inter_iUnion] gcongr exact subset_inter Subset.rfl t_cover _ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _ _ ≤ ∑' n, (Real.toNNReal |(A n).det| + ε : ℝ≥0) * μ (s ∩ t n) := by gcongr exact (hδ (A _)).2 _ (ht _) _ = ∑' n, ε * μ (s ∩ t n) := by congr with n rcases Af' h's n with ⟨y, ys, hy⟩ simp only [hy, h'f' y ys, Real.toNNReal_zero, abs_zero, zero_add] _ ≤ ε * ∑' n, μ (closedBall 0 R ∩ t n) := by rw [ENNReal.tsum_mul_left] gcongr _ = ε * μ (⋃ n, closedBall 0 R ∩ t n) := by rw [measure_iUnion] · exact pairwise_disjoint_mono t_disj fun n => inter_subset_right · intro n exact measurableSet_closedBall.inter (t_meas n) _ ≤ ε * μ (closedBall 0 R) := by rw [← inter_iUnion] exact mul_le_mul_left' (measure_mono inter_subset_left) _
import Mathlib.Algebra.DirectSum.Module import Mathlib.Analysis.Complex.Basic import Mathlib.Analysis.Convex.Uniform import Mathlib.Analysis.NormedSpace.Completion import Mathlib.Analysis.NormedSpace.BoundedLinearMaps #align_import analysis.inner_product_space.basic from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" noncomputable section open RCLike Real Filter open Topology ComplexConjugate open LinearMap (BilinForm) variable {𝕜 E F : Type*} [RCLike 𝕜] class Inner (𝕜 E : Type*) where inner : E → E → 𝕜 #align has_inner Inner export Inner (inner) notation3:max "⟪" x ", " y "⟫_" 𝕜:max => @inner 𝕜 _ _ x y class InnerProductSpace (𝕜 : Type*) (E : Type*) [RCLike 𝕜] [NormedAddCommGroup E] extends NormedSpace 𝕜 E, Inner 𝕜 E where norm_sq_eq_inner : ∀ x : E, ‖x‖ ^ 2 = re (inner x x) conj_symm : ∀ x y, conj (inner y x) = inner x y add_left : ∀ x y z, inner (x + y) z = inner x z + inner y z smul_left : ∀ x y r, inner (r • x) y = conj r * inner x y #align inner_product_space InnerProductSpace -- @[nolint HasNonemptyInstance] porting note: I don't think we have this linter anymore structure InnerProductSpace.Core (𝕜 : Type*) (F : Type*) [RCLike 𝕜] [AddCommGroup F] [Module 𝕜 F] extends Inner 𝕜 F where conj_symm : ∀ x y, conj (inner y x) = inner x y nonneg_re : ∀ x, 0 ≤ re (inner x x) definite : ∀ x, inner x x = 0 → x = 0 add_left : ∀ x y z, inner (x + y) z = inner x z + inner y z smul_left : ∀ x y r, inner (r • x) y = conj r * inner x y #align inner_product_space.core InnerProductSpace.Core attribute [class] InnerProductSpace.Core def InnerProductSpace.toCore [NormedAddCommGroup E] [c : InnerProductSpace 𝕜 E] : InnerProductSpace.Core 𝕜 E := { c with nonneg_re := fun x => by rw [← InnerProductSpace.norm_sq_eq_inner] apply sq_nonneg definite := fun x hx => norm_eq_zero.1 <| pow_eq_zero (n := 2) <| by rw [InnerProductSpace.norm_sq_eq_inner (𝕜 := 𝕜) x, hx, map_zero] } #align inner_product_space.to_core InnerProductSpace.toCore namespace InnerProductSpace.Core variable [AddCommGroup F] [Module 𝕜 F] [c : InnerProductSpace.Core 𝕜 F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 F _ x y local notation "normSqK" => @RCLike.normSq 𝕜 _ local notation "reK" => @RCLike.re 𝕜 _ local notation "ext_iff" => @RCLike.ext_iff 𝕜 _ local postfix:90 "†" => starRingEnd _ def toInner' : Inner 𝕜 F := c.toInner #align inner_product_space.core.to_has_inner' InnerProductSpace.Core.toInner' attribute [local instance] toInner' def normSq (x : F) := reK ⟪x, x⟫ #align inner_product_space.core.norm_sq InnerProductSpace.Core.normSq local notation "normSqF" => @normSq 𝕜 F _ _ _ _ theorem inner_conj_symm (x y : F) : ⟪y, x⟫† = ⟪x, y⟫ := c.conj_symm x y #align inner_product_space.core.inner_conj_symm InnerProductSpace.Core.inner_conj_symm theorem inner_self_nonneg {x : F} : 0 ≤ re ⟪x, x⟫ := c.nonneg_re _ #align inner_product_space.core.inner_self_nonneg InnerProductSpace.Core.inner_self_nonneg theorem inner_self_im (x : F) : im ⟪x, x⟫ = 0 := by rw [← @ofReal_inj 𝕜, im_eq_conj_sub] simp [inner_conj_symm] #align inner_product_space.core.inner_self_im InnerProductSpace.Core.inner_self_im theorem inner_add_left (x y z : F) : ⟪x + y, z⟫ = ⟪x, z⟫ + ⟪y, z⟫ := c.add_left _ _ _ #align inner_product_space.core.inner_add_left InnerProductSpace.Core.inner_add_left theorem inner_add_right (x y z : F) : ⟪x, y + z⟫ = ⟪x, y⟫ + ⟪x, z⟫ := by rw [← inner_conj_symm, inner_add_left, RingHom.map_add]; simp only [inner_conj_symm] #align inner_product_space.core.inner_add_right InnerProductSpace.Core.inner_add_right theorem ofReal_normSq_eq_inner_self (x : F) : (normSqF x : 𝕜) = ⟪x, x⟫ := by rw [ext_iff] exact ⟨by simp only [ofReal_re]; rfl, by simp only [inner_self_im, ofReal_im]⟩ #align inner_product_space.core.coe_norm_sq_eq_inner_self InnerProductSpace.Core.ofReal_normSq_eq_inner_self theorem inner_re_symm (x y : F) : re ⟪x, y⟫ = re ⟪y, x⟫ := by rw [← inner_conj_symm, conj_re] #align inner_product_space.core.inner_re_symm InnerProductSpace.Core.inner_re_symm theorem inner_im_symm (x y : F) : im ⟪x, y⟫ = -im ⟪y, x⟫ := by rw [← inner_conj_symm, conj_im] #align inner_product_space.core.inner_im_symm InnerProductSpace.Core.inner_im_symm theorem inner_smul_left (x y : F) {r : 𝕜} : ⟪r • x, y⟫ = r† * ⟪x, y⟫ := c.smul_left _ _ _ #align inner_product_space.core.inner_smul_left InnerProductSpace.Core.inner_smul_left theorem inner_smul_right (x y : F) {r : 𝕜} : ⟪x, r • y⟫ = r * ⟪x, y⟫ := by rw [← inner_conj_symm, inner_smul_left]; simp only [conj_conj, inner_conj_symm, RingHom.map_mul] #align inner_product_space.core.inner_smul_right InnerProductSpace.Core.inner_smul_right theorem inner_zero_left (x : F) : ⟪0, x⟫ = 0 := by rw [← zero_smul 𝕜 (0 : F), inner_smul_left]; simp only [zero_mul, RingHom.map_zero] #align inner_product_space.core.inner_zero_left InnerProductSpace.Core.inner_zero_left theorem inner_zero_right (x : F) : ⟪x, 0⟫ = 0 := by rw [← inner_conj_symm, inner_zero_left]; simp only [RingHom.map_zero] #align inner_product_space.core.inner_zero_right InnerProductSpace.Core.inner_zero_right theorem inner_self_eq_zero {x : F} : ⟪x, x⟫ = 0 ↔ x = 0 := ⟨c.definite _, by rintro rfl exact inner_zero_left _⟩ #align inner_product_space.core.inner_self_eq_zero InnerProductSpace.Core.inner_self_eq_zero theorem normSq_eq_zero {x : F} : normSqF x = 0 ↔ x = 0 := Iff.trans (by simp only [normSq, ext_iff, map_zero, inner_self_im, eq_self_iff_true, and_true_iff]) (@inner_self_eq_zero 𝕜 _ _ _ _ _ x) #align inner_product_space.core.norm_sq_eq_zero InnerProductSpace.Core.normSq_eq_zero theorem inner_self_ne_zero {x : F} : ⟪x, x⟫ ≠ 0 ↔ x ≠ 0 := inner_self_eq_zero.not #align inner_product_space.core.inner_self_ne_zero InnerProductSpace.Core.inner_self_ne_zero theorem inner_self_ofReal_re (x : F) : (re ⟪x, x⟫ : 𝕜) = ⟪x, x⟫ := by norm_num [ext_iff, inner_self_im] set_option linter.uppercaseLean3 false in #align inner_product_space.core.inner_self_re_to_K InnerProductSpace.Core.inner_self_ofReal_re theorem norm_inner_symm (x y : F) : ‖⟪x, y⟫‖ = ‖⟪y, x⟫‖ := by rw [← inner_conj_symm, norm_conj] #align inner_product_space.core.norm_inner_symm InnerProductSpace.Core.norm_inner_symm theorem inner_neg_left (x y : F) : ⟪-x, y⟫ = -⟪x, y⟫ := by rw [← neg_one_smul 𝕜 x, inner_smul_left] simp #align inner_product_space.core.inner_neg_left InnerProductSpace.Core.inner_neg_left theorem inner_neg_right (x y : F) : ⟪x, -y⟫ = -⟪x, y⟫ := by rw [← inner_conj_symm, inner_neg_left]; simp only [RingHom.map_neg, inner_conj_symm] #align inner_product_space.core.inner_neg_right InnerProductSpace.Core.inner_neg_right theorem inner_sub_left (x y z : F) : ⟪x - y, z⟫ = ⟪x, z⟫ - ⟪y, z⟫ := by simp [sub_eq_add_neg, inner_add_left, inner_neg_left] #align inner_product_space.core.inner_sub_left InnerProductSpace.Core.inner_sub_left theorem inner_sub_right (x y z : F) : ⟪x, y - z⟫ = ⟪x, y⟫ - ⟪x, z⟫ := by simp [sub_eq_add_neg, inner_add_right, inner_neg_right] #align inner_product_space.core.inner_sub_right InnerProductSpace.Core.inner_sub_right theorem inner_mul_symm_re_eq_norm (x y : F) : re (⟪x, y⟫ * ⟪y, x⟫) = ‖⟪x, y⟫ * ⟪y, x⟫‖ := by rw [← inner_conj_symm, mul_comm] exact re_eq_norm_of_mul_conj (inner y x) #align inner_product_space.core.inner_mul_symm_re_eq_norm InnerProductSpace.Core.inner_mul_symm_re_eq_norm
Mathlib/Analysis/InnerProductSpace/Basic.lean
300
301
theorem inner_add_add_self (x y : F) : ⟪x + y, x + y⟫ = ⟪x, x⟫ + ⟪x, y⟫ + ⟪y, x⟫ + ⟪y, y⟫ := by
simp only [inner_add_left, inner_add_right]; ring
import Mathlib.LinearAlgebra.Eigenspace.Basic import Mathlib.FieldTheory.Minpoly.Field #align_import linear_algebra.eigenspace.minpoly from "leanprover-community/mathlib"@"c3216069e5f9369e6be586ccbfcde2592b3cec92" universe u v w namespace Module namespace End open Polynomial FiniteDimensional open scoped Polynomial variable {K : Type v} {V : Type w} [Field K] [AddCommGroup V] [Module K V] theorem eigenspace_aeval_polynomial_degree_1 (f : End K V) (q : K[X]) (hq : degree q = 1) : eigenspace f (-q.coeff 0 / q.leadingCoeff) = LinearMap.ker (aeval f q) := calc eigenspace f (-q.coeff 0 / q.leadingCoeff) _ = LinearMap.ker (q.leadingCoeff • f - algebraMap K (End K V) (-q.coeff 0)) := by rw [eigenspace_div] intro h rw [leadingCoeff_eq_zero_iff_deg_eq_bot.1 h] at hq cases hq _ = LinearMap.ker (aeval f (C q.leadingCoeff * X + C (q.coeff 0))) := by rw [C_mul', aeval_def]; simp [algebraMap, Algebra.toRingHom] _ = LinearMap.ker (aeval f q) := by rwa [← eq_X_add_C_of_degree_eq_one] #align module.End.eigenspace_aeval_polynomial_degree_1 Module.End.eigenspace_aeval_polynomial_degree_1
Mathlib/LinearAlgebra/Eigenspace/Minpoly.lean
46
51
theorem ker_aeval_ring_hom'_unit_polynomial (f : End K V) (c : K[X]ˣ) : LinearMap.ker (aeval f (c : K[X])) = ⊥ := by
rw [Polynomial.eq_C_of_degree_eq_zero (degree_coe_units c)] simp only [aeval_def, eval₂_C] apply ker_algebraMap_end apply coeff_coe_units_zero_ne_zero c
import Mathlib.CategoryTheory.Limits.IsLimit import Mathlib.CategoryTheory.Category.ULift import Mathlib.CategoryTheory.EssentiallySmall import Mathlib.Logic.Equiv.Basic #align_import category_theory.limits.has_limits from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Functor Opposite namespace CategoryTheory.Limits -- morphism levels before object levels. See note [CategoryTheory universes]. universe v₁ u₁ v₂ u₂ v₃ u₃ v v' v'' u u' u'' variable {J : Type u₁} [Category.{v₁} J] {K : Type u₂} [Category.{v₂} K] variable {C : Type u} [Category.{v} C] variable {F : J ⥤ C} section Limit -- @[nolint has_nonempty_instance] -- Porting note(#5171): removed; linter not ported yet structure LimitCone (F : J ⥤ C) where cone : Cone F isLimit : IsLimit cone #align category_theory.limits.limit_cone CategoryTheory.Limits.LimitCone #align category_theory.limits.limit_cone.is_limit CategoryTheory.Limits.LimitCone.isLimit class HasLimit (F : J ⥤ C) : Prop where mk' :: exists_limit : Nonempty (LimitCone F) #align category_theory.limits.has_limit CategoryTheory.Limits.HasLimit theorem HasLimit.mk {F : J ⥤ C} (d : LimitCone F) : HasLimit F := ⟨Nonempty.intro d⟩ #align category_theory.limits.has_limit.mk CategoryTheory.Limits.HasLimit.mk def getLimitCone (F : J ⥤ C) [HasLimit F] : LimitCone F := Classical.choice <| HasLimit.exists_limit #align category_theory.limits.get_limit_cone CategoryTheory.Limits.getLimitCone variable (J C) class HasLimitsOfShape : Prop where has_limit : ∀ F : J ⥤ C, HasLimit F := by infer_instance #align category_theory.limits.has_limits_of_shape CategoryTheory.Limits.HasLimitsOfShape @[pp_with_univ] class HasLimitsOfSize (C : Type u) [Category.{v} C] : Prop where has_limits_of_shape : ∀ (J : Type u₁) [Category.{v₁} J], HasLimitsOfShape J C := by infer_instance #align category_theory.limits.has_limits_of_size CategoryTheory.Limits.HasLimitsOfSize abbrev HasLimits (C : Type u) [Category.{v} C] : Prop := HasLimitsOfSize.{v, v} C #align category_theory.limits.has_limits CategoryTheory.Limits.HasLimits theorem HasLimits.has_limits_of_shape {C : Type u} [Category.{v} C] [HasLimits C] (J : Type v) [Category.{v} J] : HasLimitsOfShape J C := HasLimitsOfSize.has_limits_of_shape J #align category_theory.limits.has_limits.has_limits_of_shape CategoryTheory.Limits.HasLimits.has_limits_of_shape variable {J C} -- see Note [lower instance priority] instance (priority := 100) hasLimitOfHasLimitsOfShape {J : Type u₁} [Category.{v₁} J] [HasLimitsOfShape J C] (F : J ⥤ C) : HasLimit F := HasLimitsOfShape.has_limit F #align category_theory.limits.has_limit_of_has_limits_of_shape CategoryTheory.Limits.hasLimitOfHasLimitsOfShape -- see Note [lower instance priority] instance (priority := 100) hasLimitsOfShapeOfHasLimits {J : Type u₁} [Category.{v₁} J] [HasLimitsOfSize.{v₁, u₁} C] : HasLimitsOfShape J C := HasLimitsOfSize.has_limits_of_shape J #align category_theory.limits.has_limits_of_shape_of_has_limits CategoryTheory.Limits.hasLimitsOfShapeOfHasLimits -- Interface to the `HasLimit` class. def limit.cone (F : J ⥤ C) [HasLimit F] : Cone F := (getLimitCone F).cone #align category_theory.limits.limit.cone CategoryTheory.Limits.limit.cone def limit (F : J ⥤ C) [HasLimit F] := (limit.cone F).pt #align category_theory.limits.limit CategoryTheory.Limits.limit def limit.π (F : J ⥤ C) [HasLimit F] (j : J) : limit F ⟶ F.obj j := (limit.cone F).π.app j #align category_theory.limits.limit.π CategoryTheory.Limits.limit.π @[simp] theorem limit.cone_x {F : J ⥤ C} [HasLimit F] : (limit.cone F).pt = limit F := rfl set_option linter.uppercaseLean3 false in #align category_theory.limits.limit.cone_X CategoryTheory.Limits.limit.cone_x @[simp] theorem limit.cone_π {F : J ⥤ C} [HasLimit F] : (limit.cone F).π.app = limit.π _ := rfl #align category_theory.limits.limit.cone_π CategoryTheory.Limits.limit.cone_π @[reassoc (attr := simp)] theorem limit.w (F : J ⥤ C) [HasLimit F] {j j' : J} (f : j ⟶ j') : limit.π F j ≫ F.map f = limit.π F j' := (limit.cone F).w f #align category_theory.limits.limit.w CategoryTheory.Limits.limit.w def limit.isLimit (F : J ⥤ C) [HasLimit F] : IsLimit (limit.cone F) := (getLimitCone F).isLimit #align category_theory.limits.limit.is_limit CategoryTheory.Limits.limit.isLimit def limit.lift (F : J ⥤ C) [HasLimit F] (c : Cone F) : c.pt ⟶ limit F := (limit.isLimit F).lift c #align category_theory.limits.limit.lift CategoryTheory.Limits.limit.lift @[simp] theorem limit.isLimit_lift {F : J ⥤ C} [HasLimit F] (c : Cone F) : (limit.isLimit F).lift c = limit.lift F c := rfl #align category_theory.limits.limit.is_limit_lift CategoryTheory.Limits.limit.isLimit_lift @[reassoc (attr := simp)] theorem limit.lift_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) : limit.lift F c ≫ limit.π F j = c.π.app j := IsLimit.fac _ c j #align category_theory.limits.limit.lift_π CategoryTheory.Limits.limit.lift_π def limMap {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) : limit F ⟶ limit G := IsLimit.map _ (limit.isLimit G) α #align category_theory.limits.lim_map CategoryTheory.Limits.limMap @[reassoc (attr := simp)] theorem limMap_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) (j : J) : limMap α ≫ limit.π G j = limit.π F j ≫ α.app j := limit.lift_π _ j #align category_theory.limits.lim_map_π CategoryTheory.Limits.limMap_π def limit.coneMorphism {F : J ⥤ C} [HasLimit F] (c : Cone F) : c ⟶ limit.cone F := (limit.isLimit F).liftConeMorphism c #align category_theory.limits.limit.cone_morphism CategoryTheory.Limits.limit.coneMorphism @[simp] theorem limit.coneMorphism_hom {F : J ⥤ C} [HasLimit F] (c : Cone F) : (limit.coneMorphism c).hom = limit.lift F c := rfl #align category_theory.limits.limit.cone_morphism_hom CategoryTheory.Limits.limit.coneMorphism_hom theorem limit.coneMorphism_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) : (limit.coneMorphism c).hom ≫ limit.π F j = c.π.app j := by simp #align category_theory.limits.limit.cone_morphism_π CategoryTheory.Limits.limit.coneMorphism_π @[reassoc (attr := simp)] theorem limit.conePointUniqueUpToIso_hom_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c) (j : J) : (IsLimit.conePointUniqueUpToIso hc (limit.isLimit _)).hom ≫ limit.π F j = c.π.app j := IsLimit.conePointUniqueUpToIso_hom_comp _ _ _ #align category_theory.limits.limit.cone_point_unique_up_to_iso_hom_comp CategoryTheory.Limits.limit.conePointUniqueUpToIso_hom_comp @[reassoc (attr := simp)] theorem limit.conePointUniqueUpToIso_inv_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c) (j : J) : (IsLimit.conePointUniqueUpToIso (limit.isLimit _) hc).inv ≫ limit.π F j = c.π.app j := IsLimit.conePointUniqueUpToIso_inv_comp _ _ _ #align category_theory.limits.limit.cone_point_unique_up_to_iso_inv_comp CategoryTheory.Limits.limit.conePointUniqueUpToIso_inv_comp theorem limit.existsUnique {F : J ⥤ C} [HasLimit F] (t : Cone F) : ∃! l : t.pt ⟶ limit F, ∀ j, l ≫ limit.π F j = t.π.app j := (limit.isLimit F).existsUnique _ #align category_theory.limits.limit.exists_unique CategoryTheory.Limits.limit.existsUnique def limit.isoLimitCone {F : J ⥤ C} [HasLimit F] (t : LimitCone F) : limit F ≅ t.cone.pt := IsLimit.conePointUniqueUpToIso (limit.isLimit F) t.isLimit #align category_theory.limits.limit.iso_limit_cone CategoryTheory.Limits.limit.isoLimitCone @[reassoc (attr := simp)] theorem limit.isoLimitCone_hom_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) : (limit.isoLimitCone t).hom ≫ t.cone.π.app j = limit.π F j := by dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso] aesop_cat #align category_theory.limits.limit.iso_limit_cone_hom_π CategoryTheory.Limits.limit.isoLimitCone_hom_π @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Limits/HasLimits.lean
259
262
theorem limit.isoLimitCone_inv_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) : (limit.isoLimitCone t).inv ≫ limit.π F j = t.cone.π.app j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso] aesop_cat
import Mathlib.Algebra.Group.Hom.Defs import Mathlib.Algebra.Group.Units #align_import algebra.hom.units from "leanprover-community/mathlib"@"a07d750983b94c530ab69a726862c2ab6802b38c" assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered open Function universe u v w namespace Units variable {α : Type*} {M : Type u} {N : Type v} {P : Type w} [Monoid M] [Monoid N] [Monoid P] @[to_additive "The additive homomorphism on `AddUnit`s induced by an `AddMonoidHom`."] def map (f : M →* N) : Mˣ →* Nˣ := MonoidHom.mk' (fun u => ⟨f u.val, f u.inv, by rw [← f.map_mul, u.val_inv, f.map_one], by rw [← f.map_mul, u.inv_val, f.map_one]⟩) fun x y => ext (f.map_mul x y) #align units.map Units.map #align add_units.map AddUnits.map @[to_additive (attr := simp)] theorem coe_map (f : M →* N) (x : Mˣ) : ↑(map f x) = f x := rfl #align units.coe_map Units.coe_map #align add_units.coe_map AddUnits.coe_map @[to_additive (attr := simp)] theorem coe_map_inv (f : M →* N) (u : Mˣ) : ↑(map f u)⁻¹ = f ↑u⁻¹ := rfl #align units.coe_map_inv Units.coe_map_inv #align add_units.coe_map_neg AddUnits.coe_map_neg @[to_additive (attr := simp)] theorem map_comp (f : M →* N) (g : N →* P) : map (g.comp f) = (map g).comp (map f) := rfl #align units.map_comp Units.map_comp #align add_units.map_comp AddUnits.map_comp @[to_additive] lemma map_injective {f : M →* N} (hf : Function.Injective f) : Function.Injective (map f) := fun _ _ e => ext (hf (congr_arg val e)) variable (M) @[to_additive (attr := simp)]
Mathlib/Algebra/Group/Units/Hom.lean
94
94
theorem map_id : map (MonoidHom.id M) = MonoidHom.id Mˣ := by
ext; rfl
import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.LinearAlgebra.Finsupp import Mathlib.Tactic.FinCases #align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open Affine namespace Finset theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by ext x fin_cases x <;> simp #align finset.univ_fin2 Finset.univ_fin2 variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [S : AffineSpace V P] variable {ι : Type*} (s : Finset ι) variable {ι₂ : Type*} (s₂ : Finset ι₂) def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V := ∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b) #align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint @[simp] theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) : s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by simp [weightedVSubOfPoint, LinearMap.sum_apply] #align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply @[simp (high)] theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) : s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by rw [weightedVSubOfPoint_apply, sum_smul] #align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) : s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by simp_rw [weightedVSubOfPoint_apply] refine sum_congr rfl fun i hi => ?_ rw [hw i hi, hp i hi] #align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k) (hw : ∀ i, i ≠ j → w₁ i = w₂ i) : s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by simp only [Finset.weightedVSubOfPoint_apply] congr ext i rcases eq_or_ne i j with h | h · simp [h] · simp [hw i h] #align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by apply eq_of_sub_eq_zero rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib] conv_lhs => congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, zero_smul] #align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V, vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ← sum_sub_distrib] conv_lhs => congr · skip · congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self] #align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one @[simp (high)] theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_erase rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase @[simp (high)] theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_insert_zero rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] exact Eq.symm <| sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _ #align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) : (s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by simp_rw [weightedVSubOfPoint_apply] exact Finset.sum_map _ _ _ #align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right] #align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, sum_sdiff h] #align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) = s.weightedVSubOfPoint p b w := by rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h] #align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) = (s.filter pred).weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter] #align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne] intro i hi hne refine h i hi ?_ intro hw simp [hw] at hne #align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) : s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul] #align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V := s.weightedVSubOfPoint p (Classical.choice S.nonempty) #align finset.weighted_vsub Finset.weightedVSub theorem weightedVSub_apply (w : ι → k) (p : ι → P) : s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by simp [weightedVSub, LinearMap.sum_apply] #align finset.weighted_vsub_apply Finset.weightedVSub_apply theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w := s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _ #align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero @[simp] theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) : s.weightedVSub (fun _ => p) w = 0 := by rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul] #align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const @[simp] theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by simp [weightedVSub_apply] #align finset.weighted_vsub_empty Finset.weightedVSub_empty theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ := s.weightedVSubOfPoint_congr hw hp _ #align finset.weighted_vsub_congr Finset.weightedVSub_congr theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) := weightedVSubOfPoint_indicator_subset _ _ _ h #align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) := s₂.weightedVSubOfPoint_map _ _ _ _ #align finset.weighted_vsub_map Finset.weightedVSub_map theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w := s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero] #align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub] #align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff h _ _ _ #align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff_sub h _ _ _ #align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) = (s.filter pred).weightedVSub p w := s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _ #align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_filter_of_ne _ _ _ h #align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) : s.weightedVSub p (c • w) = c • s.weightedVSub p w := s.weightedVSubOfPoint_const_smul _ _ _ _ #align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor variable (k) def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty linear := s.weightedVSub p map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add] #align finset.affine_combination Finset.affineCombination @[simp] theorem affineCombination_linear (p : ι → P) : (s.affineCombination k p).linear = s.weightedVSub p := rfl #align finset.affine_combination_linear Finset.affineCombination_linear variable {k} theorem affineCombination_apply (w : ι → k) (p : ι → P) : (s.affineCombination k p) w = s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty := rfl #align finset.affine_combination_apply Finset.affineCombination_apply @[simp] theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) : s.affineCombination k (fun _ => p) w = p := by rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd] #align finset.affine_combination_apply_const Finset.affineCombination_apply_const theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp] #align finset.affine_combination_congr Finset.affineCombination_congr theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b : P) : s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b := s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _ #align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) : s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear] #align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) : s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub] #align finset.affine_combination_vsub Finset.affineCombination_vsub theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P) (hf : Function.Injective f) : s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff, Function.comp_apply, AffineMap.coe_mk] let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty) let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty) change univ.sum g₁ = (image f univ).sum g₂ have hgf : g₁ = g₂ ∘ f := by ext simp rw [hgf, sum_image] · simp only [Function.comp_apply] · exact fun _ _ _ _ hxy => hf hxy #align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective theorem attach_affineCombination_coe (s : Finset P) (w : P → k) : s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective, univ_eq_attach, attach_image_val] #align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe @[simp] theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V} (hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw] #align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination @[simp] theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k) (hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0] #align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination @[simp] theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s) (hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his) rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i), weightedVSubOfPoint_apply] convert zero_vadd V (p i) refine sum_eq_zero ?_ intro i2 hi2 by_cases h : i2 = i · simp [h] · simp [hw0 i2 hi2 h] #align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_indicator_subset _ _ _ h] #align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by simp_rw [affineCombination_apply, weightedVSubOfPoint_map] #align finset.affine_combination_map Finset.affineCombination_map theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_affine_combination_vsub Finset.sum_smul_vsub_eq_affineCombination_vsub theorem sum_smul_vsub_const_eq_affineCombination_vsub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.affineCombination k p₁ w -ᵥ p₂ := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_vsub_const_eq_affine_combination_vsub Finset.sum_smul_vsub_const_eq_affineCombination_vsub theorem sum_smul_const_vsub_eq_vsub_affineCombination (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = p₁ -ᵥ s.affineCombination k p₂ w := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_const_vsub_eq_vsub_affine_combination Finset.sum_smul_const_vsub_eq_vsub_affineCombination theorem affineCombination_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).affineCombination k p w -ᵥ s₂.affineCombination k p (-w) = s.weightedVSub p w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.weightedVSub_sdiff_sub h _ _ #align finset.affine_combination_sdiff_sub Finset.affineCombination_sdiff_sub theorem affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one {w : ι → k} {p : ι → P} (hw : s.weightedVSub p w = (0 : V)) {i : ι} [DecidablePred (· ≠ i)] (his : i ∈ s) (hwi : w i = -1) : (s.filter (· ≠ i)).affineCombination k p w = p i := by classical rw [← @vsub_eq_zero_iff_eq V, ← hw, ← s.affineCombination_sdiff_sub (singleton_subset_iff.2 his), sdiff_singleton_eq_erase, ← filter_ne'] congr refine (affineCombination_of_eq_one_of_eq_zero _ _ _ (mem_singleton_self _) ?_ ?_).symm · simp [hwi] · simp #align finset.affine_combination_eq_of_weighted_vsub_eq_zero_of_eq_neg_one Finset.affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one theorem affineCombination_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).affineCombination k (fun i => p i) fun i => w i) = (s.filter pred).affineCombination k p w := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_subtype_eq_filter] #align finset.affine_combination_subtype_eq_filter Finset.affineCombination_subtype_eq_filter theorem affineCombination_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).affineCombination k p w = s.affineCombination k p w := by rw [affineCombination_apply, affineCombination_apply, s.weightedVSubOfPoint_filter_of_ne _ _ _ h] #align finset.affine_combination_filter_of_ne Finset.affineCombination_filter_of_ne theorem eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype {v : V} {x : k} {s : Set ι} {p : ι → P} {b : P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = x ∧ v = fs.weightedVSubOfPoint p b w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = x ∧ v = fs.weightedVSubOfPoint (fun i : s => p i) b w := by classical simp_rw [weightedVSubOfPoint_apply] constructor · rintro ⟨fs, hfs, w, rfl, rfl⟩ exact ⟨fs.subtype s, fun i => w i, sum_subtype_of_mem _ hfs, (sum_subtype_of_mem _ hfs).symm⟩ · rintro ⟨fs, w, rfl, rfl⟩ refine ⟨fs.map (Function.Embedding.subtype _), map_subtype_subset _, fun i => if h : i ∈ s then w ⟨i, h⟩ else 0, ?_, ?_⟩ <;> simp #align finset.eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype Finset.eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype variable (k) theorem eq_weightedVSub_subset_iff_eq_weightedVSub_subtype {v : V} {s : Set ι} {p : ι → P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 0 ∧ v = fs.weightedVSub p w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 0 ∧ v = fs.weightedVSub (fun i : s => p i) w := eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype #align finset.eq_weighted_vsub_subset_iff_eq_weighted_vsub_subtype Finset.eq_weightedVSub_subset_iff_eq_weightedVSub_subtype variable (V) theorem eq_affineCombination_subset_iff_eq_affineCombination_subtype {p0 : P} {s : Set ι} {p : ι → P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 1 ∧ p0 = fs.affineCombination k p w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 1 ∧ p0 = fs.affineCombination k (fun i : s => p i) w := by simp_rw [affineCombination_apply, eq_vadd_iff_vsub_eq] exact eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype #align finset.eq_affine_combination_subset_iff_eq_affine_combination_subtype Finset.eq_affineCombination_subset_iff_eq_affineCombination_subtype variable {k V} theorem map_affineCombination {V₂ P₂ : Type*} [AddCommGroup V₂] [Module k V₂] [AffineSpace V₂ P₂] (p : ι → P) (w : ι → k) (hw : s.sum w = 1) (f : P →ᵃ[k] P₂) : f (s.affineCombination k p w) = s.affineCombination k (f ∘ p) w := by have b := Classical.choice (inferInstance : AffineSpace V P).nonempty have b₂ := Classical.choice (inferInstance : AffineSpace V₂ P₂).nonempty rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw b, s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w (f ∘ p) hw b₂, ← s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w (f ∘ p) hw (f b) b₂] simp only [weightedVSubOfPoint_apply, RingHom.id_apply, AffineMap.map_vadd, LinearMap.map_smulₛₗ, AffineMap.linearMap_vsub, map_sum, Function.comp_apply] #align finset.map_affine_combination Finset.map_affineCombination variable (k) def affineCombinationSingleWeights [DecidableEq ι] (i : ι) : ι → k := Function.update (Function.const ι 0) i 1 #align finset.affine_combination_single_weights Finset.affineCombinationSingleWeights @[simp]
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
648
649
theorem affineCombinationSingleWeights_apply_self [DecidableEq ι] (i : ι) : affineCombinationSingleWeights k i i = 1 := by
simp [affineCombinationSingleWeights]
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import measure_theory.function.egorov from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open MeasureTheory NNReal ENNReal Topology namespace MeasureTheory open Set Filter TopologicalSpace variable {α β ι : Type*} {m : MeasurableSpace α} [MetricSpace β] {μ : Measure α} namespace Egorov def notConvergentSeq [Preorder ι] (f : ι → α → β) (g : α → β) (n : ℕ) (j : ι) : Set α := ⋃ (k) (_ : j ≤ k), { x | 1 / (n + 1 : ℝ) < dist (f k x) (g x) } #align measure_theory.egorov.not_convergent_seq MeasureTheory.Egorov.notConvergentSeq variable {n : ℕ} {i j : ι} {s : Set α} {ε : ℝ} {f : ι → α → β} {g : α → β}
Mathlib/MeasureTheory/Function/Egorov.lean
50
52
theorem mem_notConvergentSeq_iff [Preorder ι] {x : α} : x ∈ notConvergentSeq f g n j ↔ ∃ k ≥ j, 1 / (n + 1 : ℝ) < dist (f k x) (g x) := by
simp_rw [notConvergentSeq, Set.mem_iUnion, exists_prop, mem_setOf]
import Mathlib.MeasureTheory.Integral.SetToL1 #align_import measure_theory.integral.bochner from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" assert_not_exists Differentiable noncomputable section open scoped Topology NNReal ENNReal MeasureTheory open Set Filter TopologicalSpace ENNReal EMetric namespace MeasureTheory variable {α E F 𝕜 : Type*} section WeightedSMul open ContinuousLinearMap variable [NormedAddCommGroup F] [NormedSpace ℝ F] {m : MeasurableSpace α} {μ : Measure α} def weightedSMul {_ : MeasurableSpace α} (μ : Measure α) (s : Set α) : F →L[ℝ] F := (μ s).toReal • ContinuousLinearMap.id ℝ F #align measure_theory.weighted_smul MeasureTheory.weightedSMul theorem weightedSMul_apply {m : MeasurableSpace α} (μ : Measure α) (s : Set α) (x : F) : weightedSMul μ s x = (μ s).toReal • x := by simp [weightedSMul] #align measure_theory.weighted_smul_apply MeasureTheory.weightedSMul_apply @[simp] theorem weightedSMul_zero_measure {m : MeasurableSpace α} : weightedSMul (0 : Measure α) = (0 : Set α → F →L[ℝ] F) := by ext1; simp [weightedSMul] #align measure_theory.weighted_smul_zero_measure MeasureTheory.weightedSMul_zero_measure @[simp]
Mathlib/MeasureTheory/Integral/Bochner.lean
181
182
theorem weightedSMul_empty {m : MeasurableSpace α} (μ : Measure α) : weightedSMul μ ∅ = (0 : F →L[ℝ] F) := by
ext1 x; rw [weightedSMul_apply]; simp
import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.Topology.MetricSpace.Basic import Mathlib.Topology.MetricSpace.ProperSpace import Mathlib.Topology.ShrinkingLemma #align_import topology.metric_space.shrinking_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Set Metric open Topology variable {α : Type u} {ι : Type v} [MetricSpace α] [ProperSpace α] {c : ι → α} variable {x : α} {r : ℝ} {s : Set α} theorem exists_subset_iUnion_ball_radius_lt {r : ι → ℝ} (hs : IsClosed s) (uf : ∀ x ∈ s, { i | x ∈ ball (c i) (r i) }.Finite) (us : s ⊆ ⋃ i, ball (c i) (r i)) : ∃ r' : ι → ℝ, (s ⊆ ⋃ i, ball (c i) (r' i)) ∧ ∀ i, r' i < r i := by rcases exists_subset_iUnion_closed_subset hs (fun i => @isOpen_ball _ _ (c i) (r i)) uf us with ⟨v, hsv, hvc, hcv⟩ have := fun i => exists_lt_subset_ball (hvc i) (hcv i) choose r' hlt hsub using this exact ⟨r', hsv.trans <| iUnion_mono <| hsub, hlt⟩ #align exists_subset_Union_ball_radius_lt exists_subset_iUnion_ball_radius_lt theorem exists_iUnion_ball_eq_radius_lt {r : ι → ℝ} (uf : ∀ x, { i | x ∈ ball (c i) (r i) }.Finite) (uU : ⋃ i, ball (c i) (r i) = univ) : ∃ r' : ι → ℝ, ⋃ i, ball (c i) (r' i) = univ ∧ ∀ i, r' i < r i := let ⟨r', hU, hv⟩ := exists_subset_iUnion_ball_radius_lt isClosed_univ (fun x _ => uf x) uU.ge ⟨r', univ_subset_iff.1 hU, hv⟩ #align exists_Union_ball_eq_radius_lt exists_iUnion_ball_eq_radius_lt theorem exists_subset_iUnion_ball_radius_pos_lt {r : ι → ℝ} (hr : ∀ i, 0 < r i) (hs : IsClosed s) (uf : ∀ x ∈ s, { i | x ∈ ball (c i) (r i) }.Finite) (us : s ⊆ ⋃ i, ball (c i) (r i)) : ∃ r' : ι → ℝ, (s ⊆ ⋃ i, ball (c i) (r' i)) ∧ ∀ i, r' i ∈ Ioo 0 (r i) := by rcases exists_subset_iUnion_closed_subset hs (fun i => @isOpen_ball _ _ (c i) (r i)) uf us with ⟨v, hsv, hvc, hcv⟩ have := fun i => exists_pos_lt_subset_ball (hr i) (hvc i) (hcv i) choose r' hlt hsub using this exact ⟨r', hsv.trans <| iUnion_mono hsub, hlt⟩ #align exists_subset_Union_ball_radius_pos_lt exists_subset_iUnion_ball_radius_pos_lt theorem exists_iUnion_ball_eq_radius_pos_lt {r : ι → ℝ} (hr : ∀ i, 0 < r i) (uf : ∀ x, { i | x ∈ ball (c i) (r i) }.Finite) (uU : ⋃ i, ball (c i) (r i) = univ) : ∃ r' : ι → ℝ, ⋃ i, ball (c i) (r' i) = univ ∧ ∀ i, r' i ∈ Ioo 0 (r i) := let ⟨r', hU, hv⟩ := exists_subset_iUnion_ball_radius_pos_lt hr isClosed_univ (fun x _ => uf x) uU.ge ⟨r', univ_subset_iff.1 hU, hv⟩ #align exists_Union_ball_eq_radius_pos_lt exists_iUnion_ball_eq_radius_pos_lt
Mathlib/Topology/MetricSpace/ShrinkingLemma.lean
94
106
theorem exists_locallyFinite_subset_iUnion_ball_radius_lt (hs : IsClosed s) {R : α → ℝ} (hR : ∀ x ∈ s, 0 < R x) : ∃ (ι : Type u) (c : ι → α) (r r' : ι → ℝ), (∀ i, c i ∈ s ∧ 0 < r i ∧ r i < r' i ∧ r' i < R (c i)) ∧ (LocallyFinite fun i => ball (c i) (r' i)) ∧ s ⊆ ⋃ i, ball (c i) (r i) := by
have : ∀ x ∈ s, (𝓝 x).HasBasis (fun r : ℝ => 0 < r ∧ r < R x) fun r => ball x r := fun x hx => nhds_basis_uniformity (uniformity_basis_dist_lt (hR x hx)) rcases refinement_of_locallyCompact_sigmaCompact_of_nhds_basis_set hs this with ⟨ι, c, r', hr', hsub', hfin⟩ rcases exists_subset_iUnion_ball_radius_pos_lt (fun i => (hr' i).2.1) hs (fun x _ => hfin.point_finite x) hsub' with ⟨r, hsub, hlt⟩ exact ⟨ι, c, r, r', fun i => ⟨(hr' i).1, (hlt i).1, (hlt i).2, (hr' i).2.2⟩, hfin, hsub⟩
import Mathlib.Algebra.Group.Commute.Basic import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Perm.Basic #align_import group_theory.perm.support from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Equiv Finset namespace Equiv.Perm variable {α : Type*} section IsSwap variable [DecidableEq α] def IsSwap (f : Perm α) : Prop := ∃ x y, x ≠ y ∧ f = swap x y #align equiv.perm.is_swap Equiv.Perm.IsSwap @[simp] theorem ofSubtype_swap_eq {p : α → Prop} [DecidablePred p] (x y : Subtype p) : ofSubtype (Equiv.swap x y) = Equiv.swap ↑x ↑y := Equiv.ext fun z => by by_cases hz : p z · rw [swap_apply_def, ofSubtype_apply_of_mem _ hz] split_ifs with hzx hzy · simp_rw [hzx, Subtype.coe_eta, swap_apply_left] · simp_rw [hzy, Subtype.coe_eta, swap_apply_right] · rw [swap_apply_of_ne_of_ne] <;> simp [Subtype.ext_iff, *] · rw [ofSubtype_apply_of_not_mem _ hz, swap_apply_of_ne_of_ne] · intro h apply hz rw [h] exact Subtype.prop x intro h apply hz rw [h] exact Subtype.prop y #align equiv.perm.of_subtype_swap_eq Equiv.Perm.ofSubtype_swap_eq theorem IsSwap.of_subtype_isSwap {p : α → Prop} [DecidablePred p] {f : Perm (Subtype p)} (h : f.IsSwap) : (ofSubtype f).IsSwap := let ⟨⟨x, hx⟩, ⟨y, hy⟩, hxy⟩ := h ⟨x, y, by simp only [Ne, Subtype.ext_iff] at hxy exact hxy.1, by rw [hxy.2, ofSubtype_swap_eq]⟩ #align equiv.perm.is_swap.of_subtype_is_swap Equiv.Perm.IsSwap.of_subtype_isSwap
Mathlib/GroupTheory/Perm/Support.lean
248
253
theorem ne_and_ne_of_swap_mul_apply_ne_self {f : Perm α} {x y : α} (hy : (swap x (f x) * f) y ≠ y) : f y ≠ y ∧ y ≠ x := by
simp only [swap_apply_def, mul_apply, f.injective.eq_iff] at * by_cases h : f y = x · constructor <;> intro <;> simp_all only [if_true, eq_self_iff_true, not_true, Ne] · split_ifs at hy with h h <;> try { simp [*] at * }
import Mathlib.Data.Rat.Cast.Defs import Mathlib.Algebra.Field.Basic #align_import data.rat.cast from "leanprover-community/mathlib"@"acebd8d49928f6ed8920e502a6c90674e75bd441" namespace Rat variable {α : Type*} [DivisionRing α] -- Porting note: rewrote proof @[simp] theorem cast_inv_nat (n : ℕ) : ((n⁻¹ : ℚ) : α) = (n : α)⁻¹ := by cases' n with n · simp rw [cast_def, inv_natCast_num, inv_natCast_den, if_neg n.succ_ne_zero, Int.sign_eq_one_of_pos (Nat.cast_pos.mpr n.succ_pos), Int.cast_one, one_div] #align rat.cast_inv_nat Rat.cast_inv_nat -- Porting note: proof got a lot easier - is this still the intended statement? @[simp] theorem cast_inv_int (n : ℤ) : ((n⁻¹ : ℚ) : α) = (n : α)⁻¹ := by cases' n with n n · simp [ofInt_eq_cast, cast_inv_nat] · simp only [ofInt_eq_cast, Int.cast_negSucc, ← Nat.cast_succ, cast_neg, inv_neg, cast_inv_nat] #align rat.cast_inv_int Rat.cast_inv_int @[simp, norm_cast] theorem cast_nnratCast {K} [DivisionRing K] (q : ℚ≥0) : ((q : ℚ) : K) = (q : K) := by rw [Rat.cast_def, NNRat.cast_def, NNRat.cast_def] have hn := @num_div_eq_of_coprime q.num q.den ?hdp q.coprime_num_den on_goal 1 => have hd := @den_div_eq_of_coprime q.num q.den ?hdp q.coprime_num_den case hdp => simpa only [Nat.cast_pos] using q.den_pos simp only [Int.cast_natCast, Nat.cast_inj] at hn hd rw [hn, hd, Int.cast_natCast] @[simp, norm_cast]
Mathlib/Data/Rat/Cast/Lemmas.lean
55
57
theorem cast_ofScientific {K} [DivisionRing K] (m : ℕ) (s : Bool) (e : ℕ) : (OfScientific.ofScientific m s e : ℚ) = (OfScientific.ofScientific m s e : K) := by
rw [← NNRat.cast_ofScientific (K := K), ← NNRat.cast_ofScientific, cast_nnratCast]
import Mathlib.Data.Set.Image import Mathlib.Order.SuccPred.Relation import Mathlib.Topology.Clopen import Mathlib.Topology.Irreducible #align_import topology.connected from "leanprover-community/mathlib"@"d101e93197bb5f6ea89bd7ba386b7f7dff1f3903" open Set Function Topology TopologicalSpace Relation open scoped Classical universe u v variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α] {s t u v : Set α} section Preconnected def IsPreconnected (s : Set α) : Prop := ∀ u v : Set α, IsOpen u → IsOpen v → s ⊆ u ∪ v → (s ∩ u).Nonempty → (s ∩ v).Nonempty → (s ∩ (u ∩ v)).Nonempty #align is_preconnected IsPreconnected def IsConnected (s : Set α) : Prop := s.Nonempty ∧ IsPreconnected s #align is_connected IsConnected theorem IsConnected.nonempty {s : Set α} (h : IsConnected s) : s.Nonempty := h.1 #align is_connected.nonempty IsConnected.nonempty theorem IsConnected.isPreconnected {s : Set α} (h : IsConnected s) : IsPreconnected s := h.2 #align is_connected.is_preconnected IsConnected.isPreconnected theorem IsPreirreducible.isPreconnected {s : Set α} (H : IsPreirreducible s) : IsPreconnected s := fun _ _ hu hv _ => H _ _ hu hv #align is_preirreducible.is_preconnected IsPreirreducible.isPreconnected theorem IsIrreducible.isConnected {s : Set α} (H : IsIrreducible s) : IsConnected s := ⟨H.nonempty, H.isPreirreducible.isPreconnected⟩ #align is_irreducible.is_connected IsIrreducible.isConnected theorem isPreconnected_empty : IsPreconnected (∅ : Set α) := isPreirreducible_empty.isPreconnected #align is_preconnected_empty isPreconnected_empty theorem isConnected_singleton {x} : IsConnected ({x} : Set α) := isIrreducible_singleton.isConnected #align is_connected_singleton isConnected_singleton theorem isPreconnected_singleton {x} : IsPreconnected ({x} : Set α) := isConnected_singleton.isPreconnected #align is_preconnected_singleton isPreconnected_singleton theorem Set.Subsingleton.isPreconnected {s : Set α} (hs : s.Subsingleton) : IsPreconnected s := hs.induction_on isPreconnected_empty fun _ => isPreconnected_singleton #align set.subsingleton.is_preconnected Set.Subsingleton.isPreconnected theorem isPreconnected_of_forall {s : Set α} (x : α) (H : ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by rintro u v hu hv hs ⟨z, zs, zu⟩ ⟨y, ys, yv⟩ have xs : x ∈ s := by rcases H y ys with ⟨t, ts, xt, -, -⟩ exact ts xt -- Porting note (#11215): TODO: use `wlog xu : x ∈ u := hs xs using u v y z, v u z y` cases hs xs with | inl xu => rcases H y ys with ⟨t, ts, xt, yt, ht⟩ have := ht u v hu hv (ts.trans hs) ⟨x, xt, xu⟩ ⟨y, yt, yv⟩ exact this.imp fun z hz => ⟨ts hz.1, hz.2⟩ | inr xv => rcases H z zs with ⟨t, ts, xt, zt, ht⟩ have := ht v u hv hu (ts.trans <| by rwa [union_comm]) ⟨x, xt, xv⟩ ⟨z, zt, zu⟩ exact this.imp fun _ h => ⟨ts h.1, h.2.2, h.2.1⟩ #align is_preconnected_of_forall isPreconnected_of_forall theorem isPreconnected_of_forall_pair {s : Set α} (H : ∀ x ∈ s, ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩) exacts [isPreconnected_empty, isPreconnected_of_forall x fun y => H x hx y] #align is_preconnected_of_forall_pair isPreconnected_of_forall_pair theorem isPreconnected_sUnion (x : α) (c : Set (Set α)) (H1 : ∀ s ∈ c, x ∈ s) (H2 : ∀ s ∈ c, IsPreconnected s) : IsPreconnected (⋃₀ c) := by apply isPreconnected_of_forall x rintro y ⟨s, sc, ys⟩ exact ⟨s, subset_sUnion_of_mem sc, H1 s sc, ys, H2 s sc⟩ #align is_preconnected_sUnion isPreconnected_sUnion theorem isPreconnected_iUnion {ι : Sort*} {s : ι → Set α} (h₁ : (⋂ i, s i).Nonempty) (h₂ : ∀ i, IsPreconnected (s i)) : IsPreconnected (⋃ i, s i) := Exists.elim h₁ fun f hf => isPreconnected_sUnion f _ hf (forall_mem_range.2 h₂) #align is_preconnected_Union isPreconnected_iUnion theorem IsPreconnected.union (x : α) {s t : Set α} (H1 : x ∈ s) (H2 : x ∈ t) (H3 : IsPreconnected s) (H4 : IsPreconnected t) : IsPreconnected (s ∪ t) := sUnion_pair s t ▸ isPreconnected_sUnion x {s, t} (by rintro r (rfl | rfl | h) <;> assumption) (by rintro r (rfl | rfl | h) <;> assumption) #align is_preconnected.union IsPreconnected.union theorem IsPreconnected.union' {s t : Set α} (H : (s ∩ t).Nonempty) (hs : IsPreconnected s) (ht : IsPreconnected t) : IsPreconnected (s ∪ t) := by rcases H with ⟨x, hxs, hxt⟩ exact hs.union x hxs hxt ht #align is_preconnected.union' IsPreconnected.union' theorem IsConnected.union {s t : Set α} (H : (s ∩ t).Nonempty) (Hs : IsConnected s) (Ht : IsConnected t) : IsConnected (s ∪ t) := by rcases H with ⟨x, hx⟩ refine ⟨⟨x, mem_union_left t (mem_of_mem_inter_left hx)⟩, ?_⟩ exact Hs.isPreconnected.union x (mem_of_mem_inter_left hx) (mem_of_mem_inter_right hx) Ht.isPreconnected #align is_connected.union IsConnected.union theorem IsPreconnected.sUnion_directed {S : Set (Set α)} (K : DirectedOn (· ⊆ ·) S) (H : ∀ s ∈ S, IsPreconnected s) : IsPreconnected (⋃₀ S) := by rintro u v hu hv Huv ⟨a, ⟨s, hsS, has⟩, hau⟩ ⟨b, ⟨t, htS, hbt⟩, hbv⟩ obtain ⟨r, hrS, hsr, htr⟩ : ∃ r ∈ S, s ⊆ r ∧ t ⊆ r := K s hsS t htS have Hnuv : (r ∩ (u ∩ v)).Nonempty := H _ hrS u v hu hv ((subset_sUnion_of_mem hrS).trans Huv) ⟨a, hsr has, hau⟩ ⟨b, htr hbt, hbv⟩ have Kruv : r ∩ (u ∩ v) ⊆ ⋃₀ S ∩ (u ∩ v) := inter_subset_inter_left _ (subset_sUnion_of_mem hrS) exact Hnuv.mono Kruv #align is_preconnected.sUnion_directed IsPreconnected.sUnion_directed theorem IsPreconnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α} (H : ∀ i ∈ t, IsPreconnected (s i)) (K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) : IsPreconnected (⋃ n ∈ t, s n) := by let R := fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t have P : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen R i j → ∃ p, p ⊆ t ∧ i ∈ p ∧ j ∈ p ∧ IsPreconnected (⋃ j ∈ p, s j) := fun i hi j hj h => by induction h with | refl => refine ⟨{i}, singleton_subset_iff.mpr hi, mem_singleton i, mem_singleton i, ?_⟩ rw [biUnion_singleton] exact H i hi | @tail j k _ hjk ih => obtain ⟨p, hpt, hip, hjp, hp⟩ := ih hjk.2 refine ⟨insert k p, insert_subset_iff.mpr ⟨hj, hpt⟩, mem_insert_of_mem k hip, mem_insert k p, ?_⟩ rw [biUnion_insert] refine (H k hj).union' (hjk.1.mono ?_) hp rw [inter_comm] exact inter_subset_inter_right _ (subset_biUnion_of_mem hjp) refine isPreconnected_of_forall_pair ?_ intro x hx y hy obtain ⟨i : ι, hi : i ∈ t, hxi : x ∈ s i⟩ := mem_iUnion₂.1 hx obtain ⟨j : ι, hj : j ∈ t, hyj : y ∈ s j⟩ := mem_iUnion₂.1 hy obtain ⟨p, hpt, hip, hjp, hp⟩ := P i hi j hj (K i hi j hj) exact ⟨⋃ j ∈ p, s j, biUnion_subset_biUnion_left hpt, mem_biUnion hip hxi, mem_biUnion hjp hyj, hp⟩ #align is_preconnected.bUnion_of_refl_trans_gen IsPreconnected.biUnion_of_reflTransGen theorem IsConnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α} (ht : t.Nonempty) (H : ∀ i ∈ t, IsConnected (s i)) (K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) : IsConnected (⋃ n ∈ t, s n) := ⟨nonempty_biUnion.2 <| ⟨ht.some, ht.some_mem, (H _ ht.some_mem).nonempty⟩, IsPreconnected.biUnion_of_reflTransGen (fun i hi => (H i hi).isPreconnected) K⟩ #align is_connected.bUnion_of_refl_trans_gen IsConnected.biUnion_of_reflTransGen theorem IsPreconnected.iUnion_of_reflTransGen {ι : Type*} {s : ι → Set α} (H : ∀ i, IsPreconnected (s i)) (K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) : IsPreconnected (⋃ n, s n) := by rw [← biUnion_univ] exact IsPreconnected.biUnion_of_reflTransGen (fun i _ => H i) fun i _ j _ => by simpa [mem_univ] using K i j #align is_preconnected.Union_of_refl_trans_gen IsPreconnected.iUnion_of_reflTransGen theorem IsConnected.iUnion_of_reflTransGen {ι : Type*} [Nonempty ι] {s : ι → Set α} (H : ∀ i, IsConnected (s i)) (K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) : IsConnected (⋃ n, s n) := ⟨nonempty_iUnion.2 <| Nonempty.elim ‹_› fun i : ι => ⟨i, (H _).nonempty⟩, IsPreconnected.iUnion_of_reflTransGen (fun i => (H i).isPreconnected) K⟩ #align is_connected.Union_of_refl_trans_gen IsConnected.iUnion_of_reflTransGen protected theorem IsPreconnected.subset_closure {s : Set α} {t : Set α} (H : IsPreconnected s) (Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsPreconnected t := fun u v hu hv htuv ⟨_y, hyt, hyu⟩ ⟨_z, hzt, hzv⟩ => let ⟨p, hpu, hps⟩ := mem_closure_iff.1 (Ktcs hyt) u hu hyu let ⟨q, hqv, hqs⟩ := mem_closure_iff.1 (Ktcs hzt) v hv hzv let ⟨r, hrs, hruv⟩ := H u v hu hv (Subset.trans Kst htuv) ⟨p, hps, hpu⟩ ⟨q, hqs, hqv⟩ ⟨r, Kst hrs, hruv⟩ #align is_preconnected.subset_closure IsPreconnected.subset_closure protected theorem IsConnected.subset_closure {s : Set α} {t : Set α} (H : IsConnected s) (Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsConnected t := ⟨Nonempty.mono Kst H.left, IsPreconnected.subset_closure H.right Kst Ktcs⟩ #align is_connected.subset_closure IsConnected.subset_closure protected theorem IsPreconnected.closure {s : Set α} (H : IsPreconnected s) : IsPreconnected (closure s) := IsPreconnected.subset_closure H subset_closure Subset.rfl #align is_preconnected.closure IsPreconnected.closure protected theorem IsConnected.closure {s : Set α} (H : IsConnected s) : IsConnected (closure s) := IsConnected.subset_closure H subset_closure <| Subset.rfl #align is_connected.closure IsConnected.closure protected theorem IsPreconnected.image [TopologicalSpace β] {s : Set α} (H : IsPreconnected s) (f : α → β) (hf : ContinuousOn f s) : IsPreconnected (f '' s) := by -- Unfold/destruct definitions in hypotheses rintro u v hu hv huv ⟨_, ⟨x, xs, rfl⟩, xu⟩ ⟨_, ⟨y, ys, rfl⟩, yv⟩ rcases continuousOn_iff'.1 hf u hu with ⟨u', hu', u'_eq⟩ rcases continuousOn_iff'.1 hf v hv with ⟨v', hv', v'_eq⟩ -- Reformulate `huv : f '' s ⊆ u ∪ v` in terms of `u'` and `v'` replace huv : s ⊆ u' ∪ v' := by rw [image_subset_iff, preimage_union] at huv replace huv := subset_inter huv Subset.rfl rw [union_inter_distrib_right, u'_eq, v'_eq, ← union_inter_distrib_right] at huv exact (subset_inter_iff.1 huv).1 -- Now `s ⊆ u' ∪ v'`, so we can apply `‹IsPreconnected s›` obtain ⟨z, hz⟩ : (s ∩ (u' ∩ v')).Nonempty := by refine H u' v' hu' hv' huv ⟨x, ?_⟩ ⟨y, ?_⟩ <;> rw [inter_comm] exacts [u'_eq ▸ ⟨xu, xs⟩, v'_eq ▸ ⟨yv, ys⟩] rw [← inter_self s, inter_assoc, inter_left_comm s u', ← inter_assoc, inter_comm s, inter_comm s, ← u'_eq, ← v'_eq] at hz exact ⟨f z, ⟨z, hz.1.2, rfl⟩, hz.1.1, hz.2.1⟩ #align is_preconnected.image IsPreconnected.image protected theorem IsConnected.image [TopologicalSpace β] {s : Set α} (H : IsConnected s) (f : α → β) (hf : ContinuousOn f s) : IsConnected (f '' s) := ⟨image_nonempty.mpr H.nonempty, H.isPreconnected.image f hf⟩ #align is_connected.image IsConnected.image theorem isPreconnected_closed_iff {s : Set α} : IsPreconnected s ↔ ∀ t t', IsClosed t → IsClosed t' → s ⊆ t ∪ t' → (s ∩ t).Nonempty → (s ∩ t').Nonempty → (s ∩ (t ∩ t')).Nonempty := ⟨by rintro h t t' ht ht' htt' ⟨x, xs, xt⟩ ⟨y, ys, yt'⟩ rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter] intro h' have xt' : x ∉ t' := (h' xs).resolve_left (absurd xt) have yt : y ∉ t := (h' ys).resolve_right (absurd yt') have := h _ _ ht.isOpen_compl ht'.isOpen_compl h' ⟨y, ys, yt⟩ ⟨x, xs, xt'⟩ rw [← compl_union] at this exact this.ne_empty htt'.disjoint_compl_right.inter_eq, by rintro h u v hu hv huv ⟨x, xs, xu⟩ ⟨y, ys, yv⟩ rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter] intro h' have xv : x ∉ v := (h' xs).elim (absurd xu) id have yu : y ∉ u := (h' ys).elim id (absurd yv) have := h _ _ hu.isClosed_compl hv.isClosed_compl h' ⟨y, ys, yu⟩ ⟨x, xs, xv⟩ rw [← compl_union] at this exact this.ne_empty huv.disjoint_compl_right.inter_eq⟩ #align is_preconnected_closed_iff isPreconnected_closed_iff theorem Inducing.isPreconnected_image [TopologicalSpace β] {s : Set α} {f : α → β} (hf : Inducing f) : IsPreconnected (f '' s) ↔ IsPreconnected s := by refine ⟨fun h => ?_, fun h => h.image _ hf.continuous.continuousOn⟩ rintro u v hu' hv' huv ⟨x, hxs, hxu⟩ ⟨y, hys, hyv⟩ rcases hf.isOpen_iff.1 hu' with ⟨u, hu, rfl⟩ rcases hf.isOpen_iff.1 hv' with ⟨v, hv, rfl⟩ replace huv : f '' s ⊆ u ∪ v := by rwa [image_subset_iff] rcases h u v hu hv huv ⟨f x, mem_image_of_mem _ hxs, hxu⟩ ⟨f y, mem_image_of_mem _ hys, hyv⟩ with ⟨_, ⟨z, hzs, rfl⟩, hzuv⟩ exact ⟨z, hzs, hzuv⟩ #align inducing.is_preconnected_image Inducing.isPreconnected_image theorem IsPreconnected.preimage_of_isOpenMap [TopologicalSpace β] {f : α → β} {s : Set β} (hs : IsPreconnected s) (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) : IsPreconnected (f ⁻¹' s) := fun u v hu hv hsuv hsu hsv => by replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by refine hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_ · simpa only [hsf, image_union] using image_subset f hsuv · simpa only [image_preimage_inter] using hsu.image f · simpa only [image_preimage_inter] using hsv.image f · exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩ #align is_preconnected.preimage_of_open_map IsPreconnected.preimage_of_isOpenMap theorem IsPreconnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β} (hs : IsPreconnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f) (hsf : s ⊆ range f) : IsPreconnected (f ⁻¹' s) := isPreconnected_closed_iff.2 fun u v hu hv hsuv hsu hsv => by replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by refine isPreconnected_closed_iff.1 hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_ · simpa only [hsf, image_union] using image_subset f hsuv · simpa only [image_preimage_inter] using hsu.image f · simpa only [image_preimage_inter] using hsv.image f · exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩ #align is_preconnected.preimage_of_closed_map IsPreconnected.preimage_of_isClosedMap theorem IsConnected.preimage_of_isOpenMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) : IsConnected (f ⁻¹' s) := ⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isOpenMap hinj hf hsf⟩ #align is_connected.preimage_of_open_map IsConnected.preimage_of_isOpenMap theorem IsConnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f) (hsf : s ⊆ range f) : IsConnected (f ⁻¹' s) := ⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isClosedMap hinj hf hsf⟩ #align is_connected.preimage_of_closed_map IsConnected.preimage_of_isClosedMap theorem IsPreconnected.subset_or_subset (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hs : IsPreconnected s) : s ⊆ u ∨ s ⊆ v := by specialize hs u v hu hv hsuv obtain hsu | hsu := (s ∩ u).eq_empty_or_nonempty · exact Or.inr ((Set.disjoint_iff_inter_eq_empty.2 hsu).subset_right_of_subset_union hsuv) · replace hs := mt (hs hsu) simp_rw [Set.not_nonempty_iff_eq_empty, ← Set.disjoint_iff_inter_eq_empty, disjoint_iff_inter_eq_empty.1 huv] at hs exact Or.inl ((hs s.disjoint_empty).subset_left_of_subset_union hsuv) #align is_preconnected.subset_or_subset IsPreconnected.subset_or_subset theorem IsPreconnected.subset_left_of_subset_union (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsu : (s ∩ u).Nonempty) (hs : IsPreconnected s) : s ⊆ u := Disjoint.subset_left_of_subset_union hsuv (by by_contra hsv rw [not_disjoint_iff_nonempty_inter] at hsv obtain ⟨x, _, hx⟩ := hs u v hu hv hsuv hsu hsv exact Set.disjoint_iff.1 huv hx) #align is_preconnected.subset_left_of_subset_union IsPreconnected.subset_left_of_subset_union theorem IsPreconnected.subset_right_of_subset_union (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsv : (s ∩ v).Nonempty) (hs : IsPreconnected s) : s ⊆ v := hs.subset_left_of_subset_union hv hu huv.symm (union_comm u v ▸ hsuv) hsv #align is_preconnected.subset_right_of_subset_union IsPreconnected.subset_right_of_subset_union -- Porting note: moved up theorem IsPreconnected.subset_isClopen {s t : Set α} (hs : IsPreconnected s) (ht : IsClopen t) (hne : (s ∩ t).Nonempty) : s ⊆ t := hs.subset_left_of_subset_union ht.isOpen ht.compl.isOpen disjoint_compl_right (by simp) hne #align is_preconnected.subset_clopen IsPreconnected.subset_isClopen theorem IsPreconnected.subset_of_closure_inter_subset (hs : IsPreconnected s) (hu : IsOpen u) (h'u : (s ∩ u).Nonempty) (h : closure u ∩ s ⊆ u) : s ⊆ u := by have A : s ⊆ u ∪ (closure u)ᶜ := by intro x hx by_cases xu : x ∈ u · exact Or.inl xu · right intro h'x exact xu (h (mem_inter h'x hx)) apply hs.subset_left_of_subset_union hu isClosed_closure.isOpen_compl _ A h'u exact disjoint_compl_right.mono_right (compl_subset_compl.2 subset_closure) #align is_preconnected.subset_of_closure_inter_subset IsPreconnected.subset_of_closure_inter_subset theorem IsPreconnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsPreconnected s) (ht : IsPreconnected t) : IsPreconnected (s ×ˢ t) := by apply isPreconnected_of_forall_pair rintro ⟨a₁, b₁⟩ ⟨ha₁, hb₁⟩ ⟨a₂, b₂⟩ ⟨ha₂, hb₂⟩ refine ⟨Prod.mk a₁ '' t ∪ flip Prod.mk b₂ '' s, ?_, .inl ⟨b₁, hb₁, rfl⟩, .inr ⟨a₂, ha₂, rfl⟩, ?_⟩ · rintro _ (⟨y, hy, rfl⟩ | ⟨x, hx, rfl⟩) exacts [⟨ha₁, hy⟩, ⟨hx, hb₂⟩] · exact (ht.image _ (Continuous.Prod.mk _).continuousOn).union (a₁, b₂) ⟨b₂, hb₂, rfl⟩ ⟨a₁, ha₁, rfl⟩ (hs.image _ (continuous_id.prod_mk continuous_const).continuousOn) #align is_preconnected.prod IsPreconnected.prod theorem IsConnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsConnected s) (ht : IsConnected t) : IsConnected (s ×ˢ t) := ⟨hs.1.prod ht.1, hs.2.prod ht.2⟩ #align is_connected.prod IsConnected.prod theorem isPreconnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)} (hs : ∀ i, IsPreconnected (s i)) : IsPreconnected (pi univ s) := by rintro u v uo vo hsuv ⟨f, hfs, hfu⟩ ⟨g, hgs, hgv⟩ rcases exists_finset_piecewise_mem_of_mem_nhds (uo.mem_nhds hfu) g with ⟨I, hI⟩ induction' I using Finset.induction_on with i I _ ihI · refine ⟨g, hgs, ⟨?_, hgv⟩⟩ simpa using hI · rw [Finset.piecewise_insert] at hI have := I.piecewise_mem_set_pi hfs hgs refine (hsuv this).elim ihI fun h => ?_ set S := update (I.piecewise f g) i '' s i have hsub : S ⊆ pi univ s := by refine image_subset_iff.2 fun z hz => ?_ rwa [update_preimage_univ_pi] exact fun j _ => this j trivial have hconn : IsPreconnected S := (hs i).image _ (continuous_const.update i continuous_id).continuousOn have hSu : (S ∩ u).Nonempty := ⟨_, mem_image_of_mem _ (hfs _ trivial), hI⟩ have hSv : (S ∩ v).Nonempty := ⟨_, ⟨_, this _ trivial, update_eq_self _ _⟩, h⟩ refine (hconn u v uo vo (hsub.trans hsuv) hSu hSv).mono ?_ exact inter_subset_inter_left _ hsub #align is_preconnected_univ_pi isPreconnected_univ_pi @[simp] theorem isConnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)} : IsConnected (pi univ s) ↔ ∀ i, IsConnected (s i) := by simp only [IsConnected, ← univ_pi_nonempty_iff, forall_and, and_congr_right_iff] refine fun hne => ⟨fun hc i => ?_, isPreconnected_univ_pi⟩ rw [← eval_image_univ_pi hne] exact hc.image _ (continuous_apply _).continuousOn #align is_connected_univ_pi isConnected_univ_pi theorem Sigma.isConnected_iff [∀ i, TopologicalSpace (π i)] {s : Set (Σi, π i)} : IsConnected s ↔ ∃ i t, IsConnected t ∧ s = Sigma.mk i '' t := by refine ⟨fun hs => ?_, ?_⟩ · obtain ⟨⟨i, x⟩, hx⟩ := hs.nonempty have : s ⊆ range (Sigma.mk i) := hs.isPreconnected.subset_isClopen isClopen_range_sigmaMk ⟨⟨i, x⟩, hx, x, rfl⟩ exact ⟨i, Sigma.mk i ⁻¹' s, hs.preimage_of_isOpenMap sigma_mk_injective isOpenMap_sigmaMk this, (Set.image_preimage_eq_of_subset this).symm⟩ · rintro ⟨i, t, ht, rfl⟩ exact ht.image _ continuous_sigmaMk.continuousOn #align sigma.is_connected_iff Sigma.isConnected_iff theorem Sigma.isPreconnected_iff [hι : Nonempty ι] [∀ i, TopologicalSpace (π i)] {s : Set (Σi, π i)} : IsPreconnected s ↔ ∃ i t, IsPreconnected t ∧ s = Sigma.mk i '' t := by refine ⟨fun hs => ?_, ?_⟩ · obtain rfl | h := s.eq_empty_or_nonempty · exact ⟨Classical.choice hι, ∅, isPreconnected_empty, (Set.image_empty _).symm⟩ · obtain ⟨a, t, ht, rfl⟩ := Sigma.isConnected_iff.1 ⟨h, hs⟩ exact ⟨a, t, ht.isPreconnected, rfl⟩ · rintro ⟨a, t, ht, rfl⟩ exact ht.image _ continuous_sigmaMk.continuousOn #align sigma.is_preconnected_iff Sigma.isPreconnected_iff theorem Sum.isConnected_iff [TopologicalSpace β] {s : Set (Sum α β)} : IsConnected s ↔ (∃ t, IsConnected t ∧ s = Sum.inl '' t) ∨ ∃ t, IsConnected t ∧ s = Sum.inr '' t := by refine ⟨fun hs => ?_, ?_⟩ · obtain ⟨x | x, hx⟩ := hs.nonempty · have h : s ⊆ range Sum.inl := hs.isPreconnected.subset_isClopen isClopen_range_inl ⟨.inl x, hx, x, rfl⟩ refine Or.inl ⟨Sum.inl ⁻¹' s, ?_, ?_⟩ · exact hs.preimage_of_isOpenMap Sum.inl_injective isOpenMap_inl h · exact (image_preimage_eq_of_subset h).symm · have h : s ⊆ range Sum.inr := hs.isPreconnected.subset_isClopen isClopen_range_inr ⟨.inr x, hx, x, rfl⟩ refine Or.inr ⟨Sum.inr ⁻¹' s, ?_, ?_⟩ · exact hs.preimage_of_isOpenMap Sum.inr_injective isOpenMap_inr h · exact (image_preimage_eq_of_subset h).symm · rintro (⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩) · exact ht.image _ continuous_inl.continuousOn · exact ht.image _ continuous_inr.continuousOn #align sum.is_connected_iff Sum.isConnected_iff theorem Sum.isPreconnected_iff [TopologicalSpace β] {s : Set (Sum α β)} : IsPreconnected s ↔ (∃ t, IsPreconnected t ∧ s = Sum.inl '' t) ∨ ∃ t, IsPreconnected t ∧ s = Sum.inr '' t := by refine ⟨fun hs => ?_, ?_⟩ · obtain rfl | h := s.eq_empty_or_nonempty · exact Or.inl ⟨∅, isPreconnected_empty, (Set.image_empty _).symm⟩ obtain ⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩ := Sum.isConnected_iff.1 ⟨h, hs⟩ · exact Or.inl ⟨t, ht.isPreconnected, rfl⟩ · exact Or.inr ⟨t, ht.isPreconnected, rfl⟩ · rintro (⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩) · exact ht.image _ continuous_inl.continuousOn · exact ht.image _ continuous_inr.continuousOn #align sum.is_preconnected_iff Sum.isPreconnected_iff def connectedComponent (x : α) : Set α := ⋃₀ { s : Set α | IsPreconnected s ∧ x ∈ s } #align connected_component connectedComponent def connectedComponentIn (F : Set α) (x : α) : Set α := if h : x ∈ F then (↑) '' connectedComponent (⟨x, h⟩ : F) else ∅ #align connected_component_in connectedComponentIn theorem connectedComponentIn_eq_image {F : Set α} {x : α} (h : x ∈ F) : connectedComponentIn F x = (↑) '' connectedComponent (⟨x, h⟩ : F) := dif_pos h #align connected_component_in_eq_image connectedComponentIn_eq_image theorem connectedComponentIn_eq_empty {F : Set α} {x : α} (h : x ∉ F) : connectedComponentIn F x = ∅ := dif_neg h #align connected_component_in_eq_empty connectedComponentIn_eq_empty theorem mem_connectedComponent {x : α} : x ∈ connectedComponent x := mem_sUnion_of_mem (mem_singleton x) ⟨isPreconnected_singleton, mem_singleton x⟩ #align mem_connected_component mem_connectedComponent theorem mem_connectedComponentIn {x : α} {F : Set α} (hx : x ∈ F) : x ∈ connectedComponentIn F x := by simp [connectedComponentIn_eq_image hx, mem_connectedComponent, hx] #align mem_connected_component_in mem_connectedComponentIn theorem connectedComponent_nonempty {x : α} : (connectedComponent x).Nonempty := ⟨x, mem_connectedComponent⟩ #align connected_component_nonempty connectedComponent_nonempty theorem connectedComponentIn_nonempty_iff {x : α} {F : Set α} : (connectedComponentIn F x).Nonempty ↔ x ∈ F := by rw [connectedComponentIn] split_ifs <;> simp [connectedComponent_nonempty, *] #align connected_component_in_nonempty_iff connectedComponentIn_nonempty_iff theorem connectedComponentIn_subset (F : Set α) (x : α) : connectedComponentIn F x ⊆ F := by rw [connectedComponentIn] split_ifs <;> simp #align connected_component_in_subset connectedComponentIn_subset theorem isPreconnected_connectedComponent {x : α} : IsPreconnected (connectedComponent x) := isPreconnected_sUnion x _ (fun _ => And.right) fun _ => And.left #align is_preconnected_connected_component isPreconnected_connectedComponent theorem isPreconnected_connectedComponentIn {x : α} {F : Set α} : IsPreconnected (connectedComponentIn F x) := by rw [connectedComponentIn]; split_ifs · exact inducing_subtype_val.isPreconnected_image.mpr isPreconnected_connectedComponent · exact isPreconnected_empty #align is_preconnected_connected_component_in isPreconnected_connectedComponentIn theorem isConnected_connectedComponent {x : α} : IsConnected (connectedComponent x) := ⟨⟨x, mem_connectedComponent⟩, isPreconnected_connectedComponent⟩ #align is_connected_connected_component isConnected_connectedComponent theorem isConnected_connectedComponentIn_iff {x : α} {F : Set α} : IsConnected (connectedComponentIn F x) ↔ x ∈ F := by simp_rw [← connectedComponentIn_nonempty_iff, IsConnected, isPreconnected_connectedComponentIn, and_true_iff] #align is_connected_connected_component_in_iff isConnected_connectedComponentIn_iff theorem IsPreconnected.subset_connectedComponent {x : α} {s : Set α} (H1 : IsPreconnected s) (H2 : x ∈ s) : s ⊆ connectedComponent x := fun _z hz => mem_sUnion_of_mem hz ⟨H1, H2⟩ #align is_preconnected.subset_connected_component IsPreconnected.subset_connectedComponent theorem IsPreconnected.subset_connectedComponentIn {x : α} {F : Set α} (hs : IsPreconnected s) (hxs : x ∈ s) (hsF : s ⊆ F) : s ⊆ connectedComponentIn F x := by have : IsPreconnected (((↑) : F → α) ⁻¹' s) := by refine inducing_subtype_val.isPreconnected_image.mp ?_ rwa [Subtype.image_preimage_coe, inter_eq_right.mpr hsF] have h2xs : (⟨x, hsF hxs⟩ : F) ∈ (↑) ⁻¹' s := by rw [mem_preimage] exact hxs have := this.subset_connectedComponent h2xs rw [connectedComponentIn_eq_image (hsF hxs)] refine Subset.trans ?_ (image_subset _ this) rw [Subtype.image_preimage_coe, inter_eq_right.mpr hsF] #align is_preconnected.subset_connected_component_in IsPreconnected.subset_connectedComponentIn theorem IsConnected.subset_connectedComponent {x : α} {s : Set α} (H1 : IsConnected s) (H2 : x ∈ s) : s ⊆ connectedComponent x := H1.2.subset_connectedComponent H2 #align is_connected.subset_connected_component IsConnected.subset_connectedComponent theorem IsPreconnected.connectedComponentIn {x : α} {F : Set α} (h : IsPreconnected F) (hx : x ∈ F) : connectedComponentIn F x = F := (connectedComponentIn_subset F x).antisymm (h.subset_connectedComponentIn hx subset_rfl) #align is_preconnected.connected_component_in IsPreconnected.connectedComponentIn theorem connectedComponent_eq {x y : α} (h : y ∈ connectedComponent x) : connectedComponent x = connectedComponent y := eq_of_subset_of_subset (isConnected_connectedComponent.subset_connectedComponent h) (isConnected_connectedComponent.subset_connectedComponent (Set.mem_of_mem_of_subset mem_connectedComponent (isConnected_connectedComponent.subset_connectedComponent h))) #align connected_component_eq connectedComponent_eq theorem connectedComponent_eq_iff_mem {x y : α} : connectedComponent x = connectedComponent y ↔ x ∈ connectedComponent y := ⟨fun h => h ▸ mem_connectedComponent, fun h => (connectedComponent_eq h).symm⟩ #align connected_component_eq_iff_mem connectedComponent_eq_iff_mem theorem connectedComponentIn_eq {x y : α} {F : Set α} (h : y ∈ connectedComponentIn F x) : connectedComponentIn F x = connectedComponentIn F y := by have hx : x ∈ F := connectedComponentIn_nonempty_iff.mp ⟨y, h⟩ simp_rw [connectedComponentIn_eq_image hx] at h ⊢ obtain ⟨⟨y, hy⟩, h2y, rfl⟩ := h simp_rw [connectedComponentIn_eq_image hy, connectedComponent_eq h2y] #align connected_component_in_eq connectedComponentIn_eq theorem connectedComponentIn_univ (x : α) : connectedComponentIn univ x = connectedComponent x := subset_antisymm (isPreconnected_connectedComponentIn.subset_connectedComponent <| mem_connectedComponentIn trivial) (isPreconnected_connectedComponent.subset_connectedComponentIn mem_connectedComponent <| subset_univ _) #align connected_component_in_univ connectedComponentIn_univ theorem connectedComponent_disjoint {x y : α} (h : connectedComponent x ≠ connectedComponent y) : Disjoint (connectedComponent x) (connectedComponent y) := Set.disjoint_left.2 fun _ h1 h2 => h ((connectedComponent_eq h1).trans (connectedComponent_eq h2).symm) #align connected_component_disjoint connectedComponent_disjoint theorem isClosed_connectedComponent {x : α} : IsClosed (connectedComponent x) := closure_subset_iff_isClosed.1 <| isConnected_connectedComponent.closure.subset_connectedComponent <| subset_closure mem_connectedComponent #align is_closed_connected_component isClosed_connectedComponent theorem Continuous.image_connectedComponent_subset [TopologicalSpace β] {f : α → β} (h : Continuous f) (a : α) : f '' connectedComponent a ⊆ connectedComponent (f a) := (isConnected_connectedComponent.image f h.continuousOn).subset_connectedComponent ((mem_image f (connectedComponent a) (f a)).2 ⟨a, mem_connectedComponent, rfl⟩) #align continuous.image_connected_component_subset Continuous.image_connectedComponent_subset theorem Continuous.image_connectedComponentIn_subset [TopologicalSpace β] {f : α → β} {s : Set α} {a : α} (hf : Continuous f) (hx : a ∈ s) : f '' connectedComponentIn s a ⊆ connectedComponentIn (f '' s) (f a) := (isPreconnected_connectedComponentIn.image _ hf.continuousOn).subset_connectedComponentIn (mem_image_of_mem _ <| mem_connectedComponentIn hx) (image_subset _ <| connectedComponentIn_subset _ _) theorem Continuous.mapsTo_connectedComponent [TopologicalSpace β] {f : α → β} (h : Continuous f) (a : α) : MapsTo f (connectedComponent a) (connectedComponent (f a)) := mapsTo'.2 <| h.image_connectedComponent_subset a #align continuous.maps_to_connected_component Continuous.mapsTo_connectedComponent theorem Continuous.mapsTo_connectedComponentIn [TopologicalSpace β] {f : α → β} {s : Set α} (h : Continuous f) {a : α} (hx : a ∈ s) : MapsTo f (connectedComponentIn s a) (connectedComponentIn (f '' s) (f a)) := mapsTo'.2 <| image_connectedComponentIn_subset h hx theorem irreducibleComponent_subset_connectedComponent {x : α} : irreducibleComponent x ⊆ connectedComponent x := isIrreducible_irreducibleComponent.isConnected.subset_connectedComponent mem_irreducibleComponent #align irreducible_component_subset_connected_component irreducibleComponent_subset_connectedComponent @[mono] theorem connectedComponentIn_mono (x : α) {F G : Set α} (h : F ⊆ G) : connectedComponentIn F x ⊆ connectedComponentIn G x := by by_cases hx : x ∈ F · rw [connectedComponentIn_eq_image hx, connectedComponentIn_eq_image (h hx), ← show ((↑) : G → α) ∘ inclusion h = (↑) from rfl, image_comp] exact image_subset _ ((continuous_inclusion h).image_connectedComponent_subset ⟨x, hx⟩) · rw [connectedComponentIn_eq_empty hx] exact Set.empty_subset _ #align connected_component_in_mono connectedComponentIn_mono class PreconnectedSpace (α : Type u) [TopologicalSpace α] : Prop where isPreconnected_univ : IsPreconnected (univ : Set α) #align preconnected_space PreconnectedSpace export PreconnectedSpace (isPreconnected_univ) class ConnectedSpace (α : Type u) [TopologicalSpace α] extends PreconnectedSpace α : Prop where toNonempty : Nonempty α #align connected_space ConnectedSpace attribute [instance 50] ConnectedSpace.toNonempty -- see Note [lower instance priority] -- see Note [lower instance priority] theorem isConnected_univ [ConnectedSpace α] : IsConnected (univ : Set α) := ⟨univ_nonempty, isPreconnected_univ⟩ #align is_connected_univ isConnected_univ lemma preconnectedSpace_iff_univ : PreconnectedSpace α ↔ IsPreconnected (univ : Set α) := ⟨fun h ↦ h.1, fun h ↦ ⟨h⟩⟩ lemma connectedSpace_iff_univ : ConnectedSpace α ↔ IsConnected (univ : Set α) := ⟨fun h ↦ ⟨univ_nonempty, h.1.1⟩, fun h ↦ ConnectedSpace.mk (toPreconnectedSpace := ⟨h.2⟩) ⟨h.1.some⟩⟩ theorem isPreconnected_range [TopologicalSpace β] [PreconnectedSpace α] {f : α → β} (h : Continuous f) : IsPreconnected (range f) := @image_univ _ _ f ▸ isPreconnected_univ.image _ h.continuousOn #align is_preconnected_range isPreconnected_range theorem isConnected_range [TopologicalSpace β] [ConnectedSpace α] {f : α → β} (h : Continuous f) : IsConnected (range f) := ⟨range_nonempty f, isPreconnected_range h⟩ #align is_connected_range isConnected_range theorem Function.Surjective.connectedSpace [ConnectedSpace α] [TopologicalSpace β] {f : α → β} (hf : Surjective f) (hf' : Continuous f) : ConnectedSpace β := by rw [connectedSpace_iff_univ, ← hf.range_eq] exact isConnected_range hf' instance Quotient.instConnectedSpace {s : Setoid α} [ConnectedSpace α] : ConnectedSpace (Quotient s) := (surjective_quotient_mk' _).connectedSpace continuous_coinduced_rng theorem DenseRange.preconnectedSpace [TopologicalSpace β] [PreconnectedSpace α] {f : α → β} (hf : DenseRange f) (hc : Continuous f) : PreconnectedSpace β := ⟨hf.closure_eq ▸ (isPreconnected_range hc).closure⟩ #align dense_range.preconnected_space DenseRange.preconnectedSpace theorem connectedSpace_iff_connectedComponent : ConnectedSpace α ↔ ∃ x : α, connectedComponent x = univ := by constructor · rintro ⟨⟨x⟩⟩ exact ⟨x, eq_univ_of_univ_subset <| isPreconnected_univ.subset_connectedComponent (mem_univ x)⟩ · rintro ⟨x, h⟩ haveI : PreconnectedSpace α := ⟨by rw [← h]; exact isPreconnected_connectedComponent⟩ exact ⟨⟨x⟩⟩ #align connected_space_iff_connected_component connectedSpace_iff_connectedComponent theorem preconnectedSpace_iff_connectedComponent : PreconnectedSpace α ↔ ∀ x : α, connectedComponent x = univ := by constructor · intro h x exact eq_univ_of_univ_subset <| isPreconnected_univ.subset_connectedComponent (mem_univ x) · intro h cases' isEmpty_or_nonempty α with hα hα · exact ⟨by rw [univ_eq_empty_iff.mpr hα]; exact isPreconnected_empty⟩ · exact ⟨by rw [← h (Classical.choice hα)]; exact isPreconnected_connectedComponent⟩ #align preconnected_space_iff_connected_component preconnectedSpace_iff_connectedComponent @[simp] theorem PreconnectedSpace.connectedComponent_eq_univ {X : Type*} [TopologicalSpace X] [h : PreconnectedSpace X] (x : X) : connectedComponent x = univ := preconnectedSpace_iff_connectedComponent.mp h x #align preconnected_space.connected_component_eq_univ PreconnectedSpace.connectedComponent_eq_univ instance [TopologicalSpace β] [PreconnectedSpace α] [PreconnectedSpace β] : PreconnectedSpace (α × β) := ⟨by rw [← univ_prod_univ] exact isPreconnected_univ.prod isPreconnected_univ⟩ instance [TopologicalSpace β] [ConnectedSpace α] [ConnectedSpace β] : ConnectedSpace (α × β) := ⟨inferInstance⟩ instance [∀ i, TopologicalSpace (π i)] [∀ i, PreconnectedSpace (π i)] : PreconnectedSpace (∀ i, π i) := ⟨by rw [← pi_univ univ]; exact isPreconnected_univ_pi fun i => isPreconnected_univ⟩ instance [∀ i, TopologicalSpace (π i)] [∀ i, ConnectedSpace (π i)] : ConnectedSpace (∀ i, π i) := ⟨inferInstance⟩ -- see Note [lower instance priority] instance (priority := 100) PreirreducibleSpace.preconnectedSpace (α : Type u) [TopologicalSpace α] [PreirreducibleSpace α] : PreconnectedSpace α := ⟨isPreirreducible_univ.isPreconnected⟩ #align preirreducible_space.preconnected_space PreirreducibleSpace.preconnectedSpace -- see Note [lower instance priority] instance (priority := 100) IrreducibleSpace.connectedSpace (α : Type u) [TopologicalSpace α] [IrreducibleSpace α] : ConnectedSpace α where toNonempty := IrreducibleSpace.toNonempty #align irreducible_space.connected_space IrreducibleSpace.connectedSpace theorem Continuous.exists_lift_sigma [ConnectedSpace α] [∀ i, TopologicalSpace (π i)] {f : α → Σ i, π i} (hf : Continuous f) : ∃ (i : ι) (g : α → π i), Continuous g ∧ f = Sigma.mk i ∘ g := by obtain ⟨i, hi⟩ : ∃ i, range f ⊆ range (.mk i) := by rcases Sigma.isConnected_iff.1 (isConnected_range hf) with ⟨i, s, -, hs⟩ exact ⟨i, hs.trans_subset (image_subset_range _ _)⟩ rcases range_subset_range_iff_exists_comp.1 hi with ⟨g, rfl⟩ refine ⟨i, g, ?_, rfl⟩ rwa [← embedding_sigmaMk.continuous_iff] at hf theorem nonempty_inter [PreconnectedSpace α] {s t : Set α} : IsOpen s → IsOpen t → s ∪ t = univ → s.Nonempty → t.Nonempty → (s ∩ t).Nonempty := by simpa only [univ_inter, univ_subset_iff] using @PreconnectedSpace.isPreconnected_univ α _ _ s t #align nonempty_inter nonempty_inter theorem isClopen_iff [PreconnectedSpace α] {s : Set α} : IsClopen s ↔ s = ∅ ∨ s = univ := ⟨fun hs => by_contradiction fun h => have h1 : s ≠ ∅ ∧ sᶜ ≠ ∅ := ⟨mt Or.inl h, mt (fun h2 => Or.inr <| (by rw [← compl_compl s, h2, compl_empty] : s = univ)) h⟩ let ⟨_, h2, h3⟩ := nonempty_inter hs.2 hs.1.isOpen_compl (union_compl_self s) (nonempty_iff_ne_empty.2 h1.1) (nonempty_iff_ne_empty.2 h1.2) h3 h2, by rintro (rfl | rfl) <;> [exact isClopen_empty; exact isClopen_univ]⟩ #align is_clopen_iff isClopen_iff theorem IsClopen.eq_univ [PreconnectedSpace α] {s : Set α} (h' : IsClopen s) (h : s.Nonempty) : s = univ := (isClopen_iff.mp h').resolve_left h.ne_empty #align is_clopen.eq_univ IsClopen.eq_univ theorem frontier_eq_empty_iff [PreconnectedSpace α] {s : Set α} : frontier s = ∅ ↔ s = ∅ ∨ s = univ := isClopen_iff_frontier_eq_empty.symm.trans isClopen_iff #align frontier_eq_empty_iff frontier_eq_empty_iff theorem nonempty_frontier_iff [PreconnectedSpace α] {s : Set α} : (frontier s).Nonempty ↔ s.Nonempty ∧ s ≠ univ := by simp only [nonempty_iff_ne_empty, Ne, frontier_eq_empty_iff, not_or] #align nonempty_frontier_iff nonempty_frontier_iff theorem Subtype.preconnectedSpace {s : Set α} (h : IsPreconnected s) : PreconnectedSpace s where isPreconnected_univ := by rwa [← inducing_subtype_val.isPreconnected_image, image_univ, Subtype.range_val] #align subtype.preconnected_space Subtype.preconnectedSpace theorem Subtype.connectedSpace {s : Set α} (h : IsConnected s) : ConnectedSpace s where toPreconnectedSpace := Subtype.preconnectedSpace h.isPreconnected toNonempty := h.nonempty.to_subtype #align subtype.connected_space Subtype.connectedSpace theorem isPreconnected_iff_preconnectedSpace {s : Set α} : IsPreconnected s ↔ PreconnectedSpace s := ⟨Subtype.preconnectedSpace, fun h => by simpa using isPreconnected_univ.image ((↑) : s → α) continuous_subtype_val.continuousOn⟩ #align is_preconnected_iff_preconnected_space isPreconnected_iff_preconnectedSpace theorem isConnected_iff_connectedSpace {s : Set α} : IsConnected s ↔ ConnectedSpace s := ⟨Subtype.connectedSpace, fun h => ⟨nonempty_subtype.mp h.2, isPreconnected_iff_preconnectedSpace.mpr h.1⟩⟩ #align is_connected_iff_connected_space isConnected_iff_connectedSpace lemma PreconnectedSpace.induction₂' [PreconnectedSpace α] (P : α → α → Prop) (h : ∀ x, ∀ᶠ y in 𝓝 x, P x y ∧ P y x) (h' : Transitive P) (x y : α) : P x y := by let u := {z | P x z} have A : IsClosed u := by apply isClosed_iff_nhds.2 (fun z hz ↦ ?_) rcases hz _ (h z) with ⟨t, ht, h't⟩ exact h' h't ht.2 have B : IsOpen u := by apply isOpen_iff_mem_nhds.2 (fun z hz ↦ ?_) filter_upwards [h z] with t ht exact h' hz ht.1 have C : u.Nonempty := ⟨x, (mem_of_mem_nhds (h x)).1⟩ have D : u = Set.univ := IsClopen.eq_univ ⟨A, B⟩ C show y ∈ u simp [D] lemma PreconnectedSpace.induction₂ [PreconnectedSpace α] (P : α → α → Prop) (h : ∀ x, ∀ᶠ y in 𝓝 x, P x y) (h' : Transitive P) (h'' : Symmetric P) (x y : α) : P x y := by refine PreconnectedSpace.induction₂' P (fun z ↦ ?_) h' x y filter_upwards [h z] with a ha exact ⟨ha, h'' ha⟩ lemma IsPreconnected.induction₂' {s : Set α} (hs : IsPreconnected s) (P : α → α → Prop) (h : ∀ x ∈ s, ∀ᶠ y in 𝓝[s] x, P x y ∧ P y x) (h' : ∀ x y z, x ∈ s → y ∈ s → z ∈ s → P x y → P y z → P x z) {x y : α} (hx : x ∈ s) (hy : y ∈ s) : P x y := by let Q : s → s → Prop := fun a b ↦ P a b show Q ⟨x, hx⟩ ⟨y, hy⟩ have : PreconnectedSpace s := Subtype.preconnectedSpace hs apply PreconnectedSpace.induction₂' · rintro ⟨x, hx⟩ have Z := h x hx rwa [nhdsWithin_eq_map_subtype_coe] at Z · rintro ⟨a, ha⟩ ⟨b, hb⟩ ⟨c, hc⟩ hab hbc exact h' a b c ha hb hc hab hbc lemma IsPreconnected.induction₂ {s : Set α} (hs : IsPreconnected s) (P : α → α → Prop) (h : ∀ x ∈ s, ∀ᶠ y in 𝓝[s] x, P x y) (h' : ∀ x y z, x ∈ s → y ∈ s → z ∈ s → P x y → P y z → P x z) (h'' : ∀ x y, x ∈ s → y ∈ s → P x y → P y x) {x y : α} (hx : x ∈ s) (hy : y ∈ s) : P x y := by apply hs.induction₂' P (fun z hz ↦ ?_) h' hx hy filter_upwards [h z hz, self_mem_nhdsWithin] with a ha h'a exact ⟨ha, h'' z a hz h'a ha⟩ theorem isPreconnected_iff_subset_of_disjoint {s : Set α} : IsPreconnected s ↔ ∀ u v, IsOpen u → IsOpen v → s ⊆ u ∪ v → s ∩ (u ∩ v) = ∅ → s ⊆ u ∨ s ⊆ v := by constructor <;> intro h · intro u v hu hv hs huv specialize h u v hu hv hs contrapose! huv simp [not_subset] at huv rcases huv with ⟨⟨x, hxs, hxu⟩, ⟨y, hys, hyv⟩⟩ have hxv : x ∈ v := or_iff_not_imp_left.mp (hs hxs) hxu have hyu : y ∈ u := or_iff_not_imp_right.mp (hs hys) hyv exact h ⟨y, hys, hyu⟩ ⟨x, hxs, hxv⟩ · intro u v hu hv hs hsu hsv by_contra H specialize h u v hu hv hs (Set.not_nonempty_iff_eq_empty.mp H) apply H cases' h with h h · rcases hsv with ⟨x, hxs, hxv⟩ exact ⟨x, hxs, ⟨h hxs, hxv⟩⟩ · rcases hsu with ⟨x, hxs, hxu⟩ exact ⟨x, hxs, ⟨hxu, h hxs⟩⟩ #align is_preconnected_iff_subset_of_disjoint isPreconnected_iff_subset_of_disjoint theorem isConnected_iff_sUnion_disjoint_open {s : Set α} : IsConnected s ↔ ∀ U : Finset (Set α), (∀ u v : Set α, u ∈ U → v ∈ U → (s ∩ (u ∩ v)).Nonempty → u = v) → (∀ u ∈ U, IsOpen u) → (s ⊆ ⋃₀ ↑U) → ∃ u ∈ U, s ⊆ u := by rw [IsConnected, isPreconnected_iff_subset_of_disjoint] refine ⟨fun ⟨hne, h⟩ U hU hUo hsU => ?_, fun h => ⟨?_, fun u v hu hv hs hsuv => ?_⟩⟩ · induction U using Finset.induction_on with | empty => exact absurd (by simpa using hsU) hne.not_subset_empty | @insert u U uU IH => simp only [← forall_cond_comm, Finset.forall_mem_insert, Finset.exists_mem_insert, Finset.coe_insert, sUnion_insert, implies_true, true_and] at * refine (h _ hUo.1 (⋃₀ ↑U) (isOpen_sUnion hUo.2) hsU ?_).imp_right ?_ · refine subset_empty_iff.1 fun x ⟨hxs, hxu, v, hvU, hxv⟩ => ?_ exact ne_of_mem_of_not_mem hvU uU (hU.1 v hvU ⟨x, hxs, hxu, hxv⟩).symm · exact IH (fun u hu => (hU.2 u hu).2) hUo.2 · simpa [subset_empty_iff, nonempty_iff_ne_empty] using h ∅ · rw [← not_nonempty_iff_eq_empty] at hsuv have := hsuv; rw [inter_comm u] at this simpa [*, or_imp, forall_and] using h {u, v} #align is_connected_iff_sUnion_disjoint_open isConnected_iff_sUnion_disjoint_open -- Porting note: `IsPreconnected.subset_isClopen` moved up from here theorem disjoint_or_subset_of_isClopen {s t : Set α} (hs : IsPreconnected s) (ht : IsClopen t) : Disjoint s t ∨ s ⊆ t := (disjoint_or_nonempty_inter s t).imp_right <| hs.subset_isClopen ht #align disjoint_or_subset_of_clopen disjoint_or_subset_of_isClopen theorem isPreconnected_iff_subset_of_disjoint_closed : IsPreconnected s ↔ ∀ u v, IsClosed u → IsClosed v → s ⊆ u ∪ v → s ∩ (u ∩ v) = ∅ → s ⊆ u ∨ s ⊆ v := by constructor <;> intro h · intro u v hu hv hs huv rw [isPreconnected_closed_iff] at h specialize h u v hu hv hs contrapose! huv simp [not_subset] at huv rcases huv with ⟨⟨x, hxs, hxu⟩, ⟨y, hys, hyv⟩⟩ have hxv : x ∈ v := or_iff_not_imp_left.mp (hs hxs) hxu have hyu : y ∈ u := or_iff_not_imp_right.mp (hs hys) hyv exact h ⟨y, hys, hyu⟩ ⟨x, hxs, hxv⟩ · rw [isPreconnected_closed_iff] intro u v hu hv hs hsu hsv by_contra H specialize h u v hu hv hs (Set.not_nonempty_iff_eq_empty.mp H) apply H cases' h with h h · rcases hsv with ⟨x, hxs, hxv⟩ exact ⟨x, hxs, ⟨h hxs, hxv⟩⟩ · rcases hsu with ⟨x, hxs, hxu⟩ exact ⟨x, hxs, ⟨hxu, h hxs⟩⟩ #align is_preconnected_iff_subset_of_disjoint_closed isPreconnected_iff_subset_of_disjoint_closed theorem isPreconnected_iff_subset_of_fully_disjoint_closed {s : Set α} (hs : IsClosed s) : IsPreconnected s ↔ ∀ u v, IsClosed u → IsClosed v → s ⊆ u ∪ v → Disjoint u v → s ⊆ u ∨ s ⊆ v := by refine isPreconnected_iff_subset_of_disjoint_closed.trans ⟨?_, ?_⟩ <;> intro H u v hu hv hss huv · apply H u v hu hv hss rw [huv.inter_eq, inter_empty] have H1 := H (u ∩ s) (v ∩ s) rw [subset_inter_iff, subset_inter_iff] at H1 simp only [Subset.refl, and_true] at H1 apply H1 (hu.inter hs) (hv.inter hs) · rw [← union_inter_distrib_right] exact subset_inter hss Subset.rfl · rwa [disjoint_iff_inter_eq_empty, ← inter_inter_distrib_right, inter_comm] #align is_preconnected_iff_subset_of_fully_disjoint_closed isPreconnected_iff_subset_of_fully_disjoint_closed theorem IsClopen.connectedComponent_subset {x} (hs : IsClopen s) (hx : x ∈ s) : connectedComponent x ⊆ s := isPreconnected_connectedComponent.subset_isClopen hs ⟨x, mem_connectedComponent, hx⟩ #align is_clopen.connected_component_subset IsClopen.connectedComponent_subset theorem connectedComponent_subset_iInter_isClopen {x : α} : connectedComponent x ⊆ ⋂ Z : { Z : Set α // IsClopen Z ∧ x ∈ Z }, Z := subset_iInter fun Z => Z.2.1.connectedComponent_subset Z.2.2 #align connected_component_subset_Inter_clopen connectedComponent_subset_iInter_isClopen theorem IsClopen.biUnion_connectedComponent_eq {Z : Set α} (h : IsClopen Z) : ⋃ x ∈ Z, connectedComponent x = Z := Subset.antisymm (iUnion₂_subset fun _ => h.connectedComponent_subset) fun _ h => mem_iUnion₂_of_mem h mem_connectedComponent #align is_clopen.bUnion_connected_component_eq IsClopen.biUnion_connectedComponent_eq
Mathlib/Topology/Connected/Basic.lean
1,148
1,222
theorem preimage_connectedComponent_connected [TopologicalSpace β] {f : α → β} (connected_fibers : ∀ t : β, IsConnected (f ⁻¹' {t})) (hcl : ∀ T : Set β, IsClosed T ↔ IsClosed (f ⁻¹' T)) (t : β) : IsConnected (f ⁻¹' connectedComponent t) := by
-- The following proof is essentially https://stacks.math.columbia.edu/tag/0377 -- although the statement is slightly different have hf : Surjective f := Surjective.of_comp fun t : β => (connected_fibers t).1 refine ⟨Nonempty.preimage connectedComponent_nonempty hf, ?_⟩ have hT : IsClosed (f ⁻¹' connectedComponent t) := (hcl (connectedComponent t)).1 isClosed_connectedComponent -- To show it's preconnected we decompose (f ⁻¹' connectedComponent t) as a subset of two -- closed disjoint sets in α. We want to show that it's a subset of either. rw [isPreconnected_iff_subset_of_fully_disjoint_closed hT] intro u v hu hv huv uv_disj -- To do this we decompose connectedComponent t into T₁ and T₂ -- we will show that connectedComponent t is a subset of either and hence -- (f ⁻¹' connectedComponent t) is a subset of u or v let T₁ := { t' ∈ connectedComponent t | f ⁻¹' {t'} ⊆ u } let T₂ := { t' ∈ connectedComponent t | f ⁻¹' {t'} ⊆ v } have fiber_decomp : ∀ t' ∈ connectedComponent t, f ⁻¹' {t'} ⊆ u ∨ f ⁻¹' {t'} ⊆ v := by intro t' ht' apply isPreconnected_iff_subset_of_disjoint_closed.1 (connected_fibers t').2 u v hu hv · exact Subset.trans (preimage_mono (singleton_subset_iff.2 ht')) huv rw [uv_disj.inter_eq, inter_empty] have T₁_u : f ⁻¹' T₁ = f ⁻¹' connectedComponent t ∩ u := by apply eq_of_subset_of_subset · rw [← biUnion_preimage_singleton] refine iUnion₂_subset fun t' ht' => subset_inter ?_ ht'.2 rw [hf.preimage_subset_preimage_iff, singleton_subset_iff] exact ht'.1 rintro a ⟨hat, hau⟩ constructor · exact mem_preimage.1 hat refine (fiber_decomp (f a) (mem_preimage.1 hat)).resolve_right fun h => ?_ exact uv_disj.subset_compl_right hau (h rfl) -- This proof is exactly the same as the above (modulo some symmetry) have T₂_v : f ⁻¹' T₂ = f ⁻¹' connectedComponent t ∩ v := by apply eq_of_subset_of_subset · rw [← biUnion_preimage_singleton] refine iUnion₂_subset fun t' ht' => subset_inter ?_ ht'.2 rw [hf.preimage_subset_preimage_iff, singleton_subset_iff] exact ht'.1 rintro a ⟨hat, hav⟩ constructor · exact mem_preimage.1 hat · refine (fiber_decomp (f a) (mem_preimage.1 hat)).resolve_left fun h => ?_ exact uv_disj.subset_compl_left hav (h rfl) -- Now we show T₁, T₂ are closed, cover connectedComponent t and are disjoint. have hT₁ : IsClosed T₁ := (hcl T₁).2 (T₁_u.symm ▸ IsClosed.inter hT hu) have hT₂ : IsClosed T₂ := (hcl T₂).2 (T₂_v.symm ▸ IsClosed.inter hT hv) have T_decomp : connectedComponent t ⊆ T₁ ∪ T₂ := fun t' ht' => by rw [mem_union t' T₁ T₂] cases' fiber_decomp t' ht' with htu htv · left exact ⟨ht', htu⟩ right exact ⟨ht', htv⟩ have T_disjoint : Disjoint T₁ T₂ := by refine Disjoint.of_preimage hf ?_ rw [T₁_u, T₂_v, disjoint_iff_inter_eq_empty, ← inter_inter_distrib_left, uv_disj.inter_eq, inter_empty] -- Now we do cases on whether (connectedComponent t) is a subset of T₁ or T₂ to show -- that the preimage is a subset of u or v. cases' (isPreconnected_iff_subset_of_fully_disjoint_closed isClosed_connectedComponent).1 isPreconnected_connectedComponent T₁ T₂ hT₁ hT₂ T_decomp T_disjoint with h h · left rw [Subset.antisymm_iff] at T₁_u suffices f ⁻¹' connectedComponent t ⊆ f ⁻¹' T₁ from (this.trans T₁_u.1).trans inter_subset_right exact preimage_mono h · right rw [Subset.antisymm_iff] at T₂_v suffices f ⁻¹' connectedComponent t ⊆ f ⁻¹' T₂ from (this.trans T₂_v.1).trans inter_subset_right exact preimage_mono h
import Mathlib.Analysis.Calculus.BumpFunction.Basic import Mathlib.MeasureTheory.Integral.SetIntegral import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar #align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open Function Filter Set Metric MeasureTheory FiniteDimensional Measure open scoped Topology namespace ContDiffBump variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [HasContDiffBump E] [MeasurableSpace E] {c : E} (f : ContDiffBump c) {x : E} {n : ℕ∞} {μ : Measure E} protected def normed (μ : Measure E) : E → ℝ := fun x => f x / ∫ x, f x ∂μ #align cont_diff_bump.normed ContDiffBump.normed theorem normed_def {μ : Measure E} (x : E) : f.normed μ x = f x / ∫ x, f x ∂μ := rfl #align cont_diff_bump.normed_def ContDiffBump.normed_def theorem nonneg_normed (x : E) : 0 ≤ f.normed μ x := div_nonneg f.nonneg <| integral_nonneg f.nonneg' #align cont_diff_bump.nonneg_normed ContDiffBump.nonneg_normed theorem contDiff_normed {n : ℕ∞} : ContDiff ℝ n (f.normed μ) := f.contDiff.div_const _ #align cont_diff_bump.cont_diff_normed ContDiffBump.contDiff_normed theorem continuous_normed : Continuous (f.normed μ) := f.continuous.div_const _ #align cont_diff_bump.continuous_normed ContDiffBump.continuous_normed theorem normed_sub (x : E) : f.normed μ (c - x) = f.normed μ (c + x) := by simp_rw [f.normed_def, f.sub] #align cont_diff_bump.normed_sub ContDiffBump.normed_sub theorem normed_neg (f : ContDiffBump (0 : E)) (x : E) : f.normed μ (-x) = f.normed μ x := by simp_rw [f.normed_def, f.neg] #align cont_diff_bump.normed_neg ContDiffBump.normed_neg variable [BorelSpace E] [FiniteDimensional ℝ E] [IsLocallyFiniteMeasure μ] protected theorem integrable : Integrable f μ := f.continuous.integrable_of_hasCompactSupport f.hasCompactSupport #align cont_diff_bump.integrable ContDiffBump.integrable protected theorem integrable_normed : Integrable (f.normed μ) μ := f.integrable.div_const _ #align cont_diff_bump.integrable_normed ContDiffBump.integrable_normed variable [μ.IsOpenPosMeasure] theorem integral_pos : 0 < ∫ x, f x ∂μ := by refine (integral_pos_iff_support_of_nonneg f.nonneg' f.integrable).mpr ?_ rw [f.support_eq] exact measure_ball_pos μ c f.rOut_pos #align cont_diff_bump.integral_pos ContDiffBump.integral_pos theorem integral_normed : ∫ x, f.normed μ x ∂μ = 1 := by simp_rw [ContDiffBump.normed, div_eq_mul_inv, mul_comm (f _), ← smul_eq_mul, integral_smul] exact inv_mul_cancel f.integral_pos.ne' #align cont_diff_bump.integral_normed ContDiffBump.integral_normed theorem support_normed_eq : Function.support (f.normed μ) = Metric.ball c f.rOut := by unfold ContDiffBump.normed rw [support_div, f.support_eq, support_const f.integral_pos.ne', inter_univ] #align cont_diff_bump.support_normed_eq ContDiffBump.support_normed_eq theorem tsupport_normed_eq : tsupport (f.normed μ) = Metric.closedBall c f.rOut := by rw [tsupport, f.support_normed_eq, closure_ball _ f.rOut_pos.ne'] #align cont_diff_bump.tsupport_normed_eq ContDiffBump.tsupport_normed_eq theorem hasCompactSupport_normed : HasCompactSupport (f.normed μ) := by simp only [HasCompactSupport, f.tsupport_normed_eq (μ := μ), isCompact_closedBall] #align cont_diff_bump.has_compact_support_normed ContDiffBump.hasCompactSupport_normed theorem tendsto_support_normed_smallSets {ι} {φ : ι → ContDiffBump c} {l : Filter ι} (hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0)) : Tendsto (fun i => Function.support fun x => (φ i).normed μ x) l (𝓝 c).smallSets := by simp_rw [NormedAddCommGroup.tendsto_nhds_zero, Real.norm_eq_abs, abs_eq_self.mpr (φ _).rOut_pos.le] at hφ rw [nhds_basis_ball.smallSets.tendsto_right_iff] refine fun ε hε ↦ (hφ ε hε).mono fun i hi ↦ ?_ rw [(φ i).support_normed_eq] exact ball_subset_ball hi.le #align cont_diff_bump.tendsto_support_normed_small_sets ContDiffBump.tendsto_support_normed_smallSets variable (μ) theorem integral_normed_smul {X} [NormedAddCommGroup X] [NormedSpace ℝ X] [CompleteSpace X] (z : X) : ∫ x, f.normed μ x • z ∂μ = z := by simp_rw [integral_smul_const, f.integral_normed (μ := μ), one_smul] #align cont_diff_bump.integral_normed_smul ContDiffBump.integral_normed_smul theorem measure_closedBall_le_integral : (μ (closedBall c f.rIn)).toReal ≤ ∫ x, f x ∂μ := by calc (μ (closedBall c f.rIn)).toReal = ∫ x in closedBall c f.rIn, 1 ∂μ := by simp _ = ∫ x in closedBall c f.rIn, f x ∂μ := setIntegral_congr measurableSet_closedBall (fun x hx ↦ (one_of_mem_closedBall f hx).symm) _ ≤ ∫ x, f x ∂μ := setIntegral_le_integral f.integrable (eventually_of_forall (fun x ↦ f.nonneg))
Mathlib/Analysis/Calculus/BumpFunction/Normed.lean
117
123
theorem normed_le_div_measure_closedBall_rIn (x : E) : f.normed μ x ≤ 1 / (μ (closedBall c f.rIn)).toReal := by
rw [normed_def] gcongr · exact ENNReal.toReal_pos (measure_closedBall_pos _ _ f.rIn_pos).ne' measure_closedBall_lt_top.ne · exact f.le_one · exact f.measure_closedBall_le_integral μ
import Mathlib.LinearAlgebra.QuadraticForm.TensorProduct import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.TensorProduct.Opposite import Mathlib.RingTheory.TensorProduct.Basic variable {R A V : Type*} variable [CommRing R] [CommRing A] [AddCommGroup V] variable [Algebra R A] [Module R V] [Module A V] [IsScalarTower R A V] variable [Invertible (2 : R)] open scoped TensorProduct namespace CliffordAlgebra variable (A) -- `noncomputable` is a performance workaround for mathlib4#7103 noncomputable def ofBaseChangeAux (Q : QuadraticForm R V) : CliffordAlgebra Q →ₐ[R] CliffordAlgebra (Q.baseChange A) := CliffordAlgebra.lift Q <| by refine ⟨(ι (Q.baseChange A)).restrictScalars R ∘ₗ TensorProduct.mk R A V 1, fun v => ?_⟩ refine (CliffordAlgebra.ι_sq_scalar (Q.baseChange A) (1 ⊗ₜ v)).trans ?_ rw [QuadraticForm.baseChange_tmul, one_mul, ← Algebra.algebraMap_eq_smul_one, ← IsScalarTower.algebraMap_apply] @[simp] theorem ofBaseChangeAux_ι (Q : QuadraticForm R V) (v : V) : ofBaseChangeAux A Q (ι Q v) = ι (Q.baseChange A) (1 ⊗ₜ v) := CliffordAlgebra.lift_ι_apply _ _ v -- `noncomputable` is a performance workaround for mathlib4#7103 noncomputable def ofBaseChange (Q : QuadraticForm R V) : A ⊗[R] CliffordAlgebra Q →ₐ[A] CliffordAlgebra (Q.baseChange A) := Algebra.TensorProduct.lift (Algebra.ofId _ _) (ofBaseChangeAux A Q) fun _a _x => Algebra.commutes _ _ @[simp] theorem ofBaseChange_tmul_ι (Q : QuadraticForm R V) (z : A) (v : V) : ofBaseChange A Q (z ⊗ₜ ι Q v) = ι (Q.baseChange A) (z ⊗ₜ v) := by show algebraMap _ _ z * ofBaseChangeAux A Q (ι Q v) = ι (Q.baseChange A) (z ⊗ₜ[R] v) rw [ofBaseChangeAux_ι, ← Algebra.smul_def, ← map_smul, TensorProduct.smul_tmul', smul_eq_mul, mul_one] @[simp] theorem ofBaseChange_tmul_one (Q : QuadraticForm R V) (z : A) : ofBaseChange A Q (z ⊗ₜ 1) = algebraMap _ _ z := by show algebraMap _ _ z * ofBaseChangeAux A Q 1 = _ rw [map_one, mul_one] -- `noncomputable` is a performance workaround for mathlib4#7103 noncomputable def toBaseChange (Q : QuadraticForm R V) : CliffordAlgebra (Q.baseChange A) →ₐ[A] A ⊗[R] CliffordAlgebra Q := CliffordAlgebra.lift _ <| by refine ⟨TensorProduct.AlgebraTensorModule.map (LinearMap.id : A →ₗ[A] A) (ι Q), ?_⟩ letI : Invertible (2 : A) := (Invertible.map (algebraMap R A) 2).copy 2 (map_ofNat _ _).symm letI : Invertible (2 : A ⊗[R] CliffordAlgebra Q) := (Invertible.map (algebraMap R _) 2).copy 2 (map_ofNat _ _).symm suffices hpure_tensor : ∀ v w, (1 * 1) ⊗ₜ[R] (ι Q v * ι Q w) + (1 * 1) ⊗ₜ[R] (ι Q w * ι Q v) = QuadraticForm.polarBilin (Q.baseChange A) (1 ⊗ₜ[R] v) (1 ⊗ₜ[R] w) ⊗ₜ[R] 1 by -- the crux is that by converting to a statement about linear maps instead of quadratic forms, -- we then have access to all the partially-applied `ext` lemmas. rw [CliffordAlgebra.forall_mul_self_eq_iff (isUnit_of_invertible _)] refine TensorProduct.AlgebraTensorModule.curry_injective ?_ ext v w exact hpure_tensor v w intros v w rw [← TensorProduct.tmul_add, CliffordAlgebra.ι_mul_ι_add_swap, QuadraticForm.polarBilin_baseChange, LinearMap.BilinForm.baseChange_tmul, one_mul, TensorProduct.smul_tmul, Algebra.algebraMap_eq_smul_one, QuadraticForm.polarBilin_apply_apply] @[simp] theorem toBaseChange_ι (Q : QuadraticForm R V) (z : A) (v : V) : toBaseChange A Q (ι (Q.baseChange A) (z ⊗ₜ v)) = z ⊗ₜ ι Q v := CliffordAlgebra.lift_ι_apply _ _ _ theorem toBaseChange_comp_involute (Q : QuadraticForm R V) : (toBaseChange A Q).comp (involute : CliffordAlgebra (Q.baseChange A) →ₐ[A] _) = (Algebra.TensorProduct.map (AlgHom.id _ _) involute).comp (toBaseChange A Q) := by ext v show toBaseChange A Q (involute (ι (Q.baseChange A) (1 ⊗ₜ[R] v))) = (Algebra.TensorProduct.map (AlgHom.id _ _) involute : A ⊗[R] CliffordAlgebra Q →ₐ[A] _) (toBaseChange A Q (ι (Q.baseChange A) (1 ⊗ₜ[R] v))) rw [toBaseChange_ι, involute_ι, map_neg (toBaseChange A Q), toBaseChange_ι, Algebra.TensorProduct.map_tmul, AlgHom.id_apply, involute_ι, TensorProduct.tmul_neg] theorem toBaseChange_involute (Q : QuadraticForm R V) (x : CliffordAlgebra (Q.baseChange A)) : toBaseChange A Q (involute x) = TensorProduct.map LinearMap.id (involute.toLinearMap) (toBaseChange A Q x) := DFunLike.congr_fun (toBaseChange_comp_involute A Q) x open MulOpposite theorem toBaseChange_comp_reverseOp (Q : QuadraticForm R V) : (toBaseChange A Q).op.comp reverseOp = ((Algebra.TensorProduct.opAlgEquiv R A A (CliffordAlgebra Q)).toAlgHom.comp <| (Algebra.TensorProduct.map (AlgEquiv.toOpposite A A).toAlgHom (reverseOp (Q := Q))).comp (toBaseChange A Q)) := by ext v show op (toBaseChange A Q (reverse (ι (Q.baseChange A) (1 ⊗ₜ[R] v)))) = Algebra.TensorProduct.opAlgEquiv R A A (CliffordAlgebra Q) (Algebra.TensorProduct.map (AlgEquiv.toOpposite A A).toAlgHom (reverseOp (Q := Q)) (toBaseChange A Q (ι (Q.baseChange A) (1 ⊗ₜ[R] v)))) rw [toBaseChange_ι, reverse_ι, toBaseChange_ι, Algebra.TensorProduct.map_tmul, Algebra.TensorProduct.opAlgEquiv_tmul, reverseOp_ι] rfl theorem toBaseChange_reverse (Q : QuadraticForm R V) (x : CliffordAlgebra (Q.baseChange A)) : toBaseChange A Q (reverse x) = TensorProduct.map LinearMap.id reverse (toBaseChange A Q x) := by have := DFunLike.congr_fun (toBaseChange_comp_reverseOp A Q) x refine (congr_arg unop this).trans ?_; clear this refine (LinearMap.congr_fun (TensorProduct.AlgebraTensorModule.map_comp _ _ _ _).symm _).trans ?_ rw [reverse, ← AlgEquiv.toLinearMap, ← AlgEquiv.toLinearEquiv_toLinearMap, AlgEquiv.toLinearEquiv_toOpposite] dsimp -- `simp` fails here due to a timeout looking for a `Subsingleton` instance!? rw [LinearEquiv.self_trans_symm] rfl attribute [ext] TensorProduct.ext
Mathlib/LinearAlgebra/CliffordAlgebra/BaseChange.lean
155
159
theorem toBaseChange_comp_ofBaseChange (Q : QuadraticForm R V) : (toBaseChange A Q).comp (ofBaseChange A Q) = AlgHom.id _ _ := by
ext v change toBaseChange A Q (ofBaseChange A Q (1 ⊗ₜ[R] ι Q v)) = 1 ⊗ₜ[R] ι Q v rw [ofBaseChange_tmul_ι, toBaseChange_ι]
import Mathlib.Probability.Variance import Mathlib.MeasureTheory.Function.UniformIntegrable #align_import probability.ident_distrib from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open MeasureTheory Filter Finset noncomputable section open scoped Topology MeasureTheory ENNReal NNReal variable {α β γ δ : Type*} [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ] namespace ProbabilityTheory structure IdentDistrib (f : α → γ) (g : β → γ) (μ : Measure α := by volume_tac) (ν : Measure β := by volume_tac) : Prop where aemeasurable_fst : AEMeasurable f μ aemeasurable_snd : AEMeasurable g ν map_eq : Measure.map f μ = Measure.map g ν #align probability_theory.ident_distrib ProbabilityTheory.IdentDistrib namespace IdentDistrib open TopologicalSpace variable {μ : Measure α} {ν : Measure β} {f : α → γ} {g : β → γ} protected theorem refl (hf : AEMeasurable f μ) : IdentDistrib f f μ μ := { aemeasurable_fst := hf aemeasurable_snd := hf map_eq := rfl } #align probability_theory.ident_distrib.refl ProbabilityTheory.IdentDistrib.refl protected theorem symm (h : IdentDistrib f g μ ν) : IdentDistrib g f ν μ := { aemeasurable_fst := h.aemeasurable_snd aemeasurable_snd := h.aemeasurable_fst map_eq := h.map_eq.symm } #align probability_theory.ident_distrib.symm ProbabilityTheory.IdentDistrib.symm protected theorem trans {ρ : Measure δ} {h : δ → γ} (h₁ : IdentDistrib f g μ ν) (h₂ : IdentDistrib g h ν ρ) : IdentDistrib f h μ ρ := { aemeasurable_fst := h₁.aemeasurable_fst aemeasurable_snd := h₂.aemeasurable_snd map_eq := h₁.map_eq.trans h₂.map_eq } #align probability_theory.ident_distrib.trans ProbabilityTheory.IdentDistrib.trans protected theorem comp_of_aemeasurable {u : γ → δ} (h : IdentDistrib f g μ ν) (hu : AEMeasurable u (Measure.map f μ)) : IdentDistrib (u ∘ f) (u ∘ g) μ ν := { aemeasurable_fst := hu.comp_aemeasurable h.aemeasurable_fst aemeasurable_snd := by rw [h.map_eq] at hu; exact hu.comp_aemeasurable h.aemeasurable_snd map_eq := by rw [← AEMeasurable.map_map_of_aemeasurable hu h.aemeasurable_fst, ← AEMeasurable.map_map_of_aemeasurable _ h.aemeasurable_snd, h.map_eq] rwa [← h.map_eq] } #align probability_theory.ident_distrib.comp_of_ae_measurable ProbabilityTheory.IdentDistrib.comp_of_aemeasurable protected theorem comp {u : γ → δ} (h : IdentDistrib f g μ ν) (hu : Measurable u) : IdentDistrib (u ∘ f) (u ∘ g) μ ν := h.comp_of_aemeasurable hu.aemeasurable #align probability_theory.ident_distrib.comp ProbabilityTheory.IdentDistrib.comp protected theorem of_ae_eq {g : α → γ} (hf : AEMeasurable f μ) (heq : f =ᵐ[μ] g) : IdentDistrib f g μ μ := { aemeasurable_fst := hf aemeasurable_snd := hf.congr heq map_eq := Measure.map_congr heq } #align probability_theory.ident_distrib.of_ae_eq ProbabilityTheory.IdentDistrib.of_ae_eq lemma _root_.MeasureTheory.AEMeasurable.identDistrib_mk (hf : AEMeasurable f μ) : IdentDistrib f (hf.mk f) μ μ := IdentDistrib.of_ae_eq hf hf.ae_eq_mk lemma _root_.MeasureTheory.AEStronglyMeasurable.identDistrib_mk [TopologicalSpace γ] [PseudoMetrizableSpace γ] [BorelSpace γ] (hf : AEStronglyMeasurable f μ) : IdentDistrib f (hf.mk f) μ μ := IdentDistrib.of_ae_eq hf.aemeasurable hf.ae_eq_mk theorem measure_mem_eq (h : IdentDistrib f g μ ν) {s : Set γ} (hs : MeasurableSet s) : μ (f ⁻¹' s) = ν (g ⁻¹' s) := by rw [← Measure.map_apply_of_aemeasurable h.aemeasurable_fst hs, ← Measure.map_apply_of_aemeasurable h.aemeasurable_snd hs, h.map_eq] #align probability_theory.ident_distrib.measure_mem_eq ProbabilityTheory.IdentDistrib.measure_mem_eq alias measure_preimage_eq := measure_mem_eq #align probability_theory.ident_distrib.measure_preimage_eq ProbabilityTheory.IdentDistrib.measure_preimage_eq theorem ae_snd (h : IdentDistrib f g μ ν) {p : γ → Prop} (pmeas : MeasurableSet {x | p x}) (hp : ∀ᵐ x ∂μ, p (f x)) : ∀ᵐ x ∂ν, p (g x) := by apply (ae_map_iff h.aemeasurable_snd pmeas).1 rw [← h.map_eq] exact (ae_map_iff h.aemeasurable_fst pmeas).2 hp #align probability_theory.ident_distrib.ae_snd ProbabilityTheory.IdentDistrib.ae_snd theorem ae_mem_snd (h : IdentDistrib f g μ ν) {t : Set γ} (tmeas : MeasurableSet t) (ht : ∀ᵐ x ∂μ, f x ∈ t) : ∀ᵐ x ∂ν, g x ∈ t := h.ae_snd tmeas ht #align probability_theory.ident_distrib.ae_mem_snd ProbabilityTheory.IdentDistrib.ae_mem_snd theorem aestronglyMeasurable_fst [TopologicalSpace γ] [MetrizableSpace γ] [OpensMeasurableSpace γ] [SecondCountableTopology γ] (h : IdentDistrib f g μ ν) : AEStronglyMeasurable f μ := h.aemeasurable_fst.aestronglyMeasurable #align probability_theory.ident_distrib.ae_strongly_measurable_fst ProbabilityTheory.IdentDistrib.aestronglyMeasurable_fst theorem aestronglyMeasurable_snd [TopologicalSpace γ] [MetrizableSpace γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) (hf : AEStronglyMeasurable f μ) : AEStronglyMeasurable g ν := by refine aestronglyMeasurable_iff_aemeasurable_separable.2 ⟨h.aemeasurable_snd, ?_⟩ rcases (aestronglyMeasurable_iff_aemeasurable_separable.1 hf).2 with ⟨t, t_sep, ht⟩ refine ⟨closure t, t_sep.closure, ?_⟩ apply h.ae_mem_snd isClosed_closure.measurableSet filter_upwards [ht] with x hx using subset_closure hx #align probability_theory.ident_distrib.ae_strongly_measurable_snd ProbabilityTheory.IdentDistrib.aestronglyMeasurable_snd theorem aestronglyMeasurable_iff [TopologicalSpace γ] [MetrizableSpace γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) : AEStronglyMeasurable f μ ↔ AEStronglyMeasurable g ν := ⟨fun hf => h.aestronglyMeasurable_snd hf, fun hg => h.symm.aestronglyMeasurable_snd hg⟩ #align probability_theory.ident_distrib.ae_strongly_measurable_iff ProbabilityTheory.IdentDistrib.aestronglyMeasurable_iff theorem essSup_eq [ConditionallyCompleteLinearOrder γ] [TopologicalSpace γ] [OpensMeasurableSpace γ] [OrderClosedTopology γ] (h : IdentDistrib f g μ ν) : essSup f μ = essSup g ν := by have I : ∀ a, μ {x : α | a < f x} = ν {x : β | a < g x} := fun a => h.measure_mem_eq measurableSet_Ioi simp_rw [essSup_eq_sInf, I] #align probability_theory.ident_distrib.ess_sup_eq ProbabilityTheory.IdentDistrib.essSup_eq theorem lintegral_eq {f : α → ℝ≥0∞} {g : β → ℝ≥0∞} (h : IdentDistrib f g μ ν) : ∫⁻ x, f x ∂μ = ∫⁻ x, g x ∂ν := by change ∫⁻ x, id (f x) ∂μ = ∫⁻ x, id (g x) ∂ν rw [← lintegral_map' aemeasurable_id h.aemeasurable_fst, ← lintegral_map' aemeasurable_id h.aemeasurable_snd, h.map_eq] #align probability_theory.ident_distrib.lintegral_eq ProbabilityTheory.IdentDistrib.lintegral_eq theorem integral_eq [NormedAddCommGroup γ] [NormedSpace ℝ γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) : ∫ x, f x ∂μ = ∫ x, g x ∂ν := by by_cases hf : AEStronglyMeasurable f μ · have A : AEStronglyMeasurable id (Measure.map f μ) := by rw [aestronglyMeasurable_iff_aemeasurable_separable] rcases (aestronglyMeasurable_iff_aemeasurable_separable.1 hf).2 with ⟨t, t_sep, ht⟩ refine ⟨aemeasurable_id, ⟨closure t, t_sep.closure, ?_⟩⟩ rw [ae_map_iff h.aemeasurable_fst] · filter_upwards [ht] with x hx using subset_closure hx · exact isClosed_closure.measurableSet change ∫ x, id (f x) ∂μ = ∫ x, id (g x) ∂ν rw [← integral_map h.aemeasurable_fst A] rw [h.map_eq] at A rw [← integral_map h.aemeasurable_snd A, h.map_eq] · rw [integral_non_aestronglyMeasurable hf] rw [h.aestronglyMeasurable_iff] at hf rw [integral_non_aestronglyMeasurable hf] #align probability_theory.ident_distrib.integral_eq ProbabilityTheory.IdentDistrib.integral_eq theorem snorm_eq [NormedAddCommGroup γ] [OpensMeasurableSpace γ] (h : IdentDistrib f g μ ν) (p : ℝ≥0∞) : snorm f p μ = snorm g p ν := by by_cases h0 : p = 0 · simp [h0] by_cases h_top : p = ∞ · simp only [h_top, snorm, snormEssSup, ENNReal.top_ne_zero, eq_self_iff_true, if_true, if_false] apply essSup_eq exact h.comp (measurable_coe_nnreal_ennreal.comp measurable_nnnorm) simp only [snorm_eq_snorm' h0 h_top, snorm', one_div] congr 1 apply lintegral_eq exact h.comp (Measurable.pow_const (measurable_coe_nnreal_ennreal.comp measurable_nnnorm) p.toReal) #align probability_theory.ident_distrib.snorm_eq ProbabilityTheory.IdentDistrib.snorm_eq theorem memℒp_snd [NormedAddCommGroup γ] [BorelSpace γ] {p : ℝ≥0∞} (h : IdentDistrib f g μ ν) (hf : Memℒp f p μ) : Memℒp g p ν := by refine ⟨h.aestronglyMeasurable_snd hf.aestronglyMeasurable, ?_⟩ rw [← h.snorm_eq] exact hf.2 #align probability_theory.ident_distrib.mem_ℒp_snd ProbabilityTheory.IdentDistrib.memℒp_snd theorem memℒp_iff [NormedAddCommGroup γ] [BorelSpace γ] {p : ℝ≥0∞} (h : IdentDistrib f g μ ν) : Memℒp f p μ ↔ Memℒp g p ν := ⟨fun hf => h.memℒp_snd hf, fun hg => h.symm.memℒp_snd hg⟩ #align probability_theory.ident_distrib.mem_ℒp_iff ProbabilityTheory.IdentDistrib.memℒp_iff theorem integrable_snd [NormedAddCommGroup γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) (hf : Integrable f μ) : Integrable g ν := by rw [← memℒp_one_iff_integrable] at hf ⊢ exact h.memℒp_snd hf #align probability_theory.ident_distrib.integrable_snd ProbabilityTheory.IdentDistrib.integrable_snd theorem integrable_iff [NormedAddCommGroup γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) : Integrable f μ ↔ Integrable g ν := ⟨fun hf => h.integrable_snd hf, fun hg => h.symm.integrable_snd hg⟩ #align probability_theory.ident_distrib.integrable_iff ProbabilityTheory.IdentDistrib.integrable_iff protected theorem norm [NormedAddCommGroup γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) : IdentDistrib (fun x => ‖f x‖) (fun x => ‖g x‖) μ ν := h.comp measurable_norm #align probability_theory.ident_distrib.norm ProbabilityTheory.IdentDistrib.norm protected theorem nnnorm [NormedAddCommGroup γ] [BorelSpace γ] (h : IdentDistrib f g μ ν) : IdentDistrib (fun x => ‖f x‖₊) (fun x => ‖g x‖₊) μ ν := h.comp measurable_nnnorm #align probability_theory.ident_distrib.nnnorm ProbabilityTheory.IdentDistrib.nnnorm protected theorem pow [Pow γ ℕ] [MeasurablePow γ ℕ] (h : IdentDistrib f g μ ν) {n : ℕ} : IdentDistrib (fun x => f x ^ n) (fun x => g x ^ n) μ ν := h.comp (measurable_id.pow_const n) #align probability_theory.ident_distrib.pow ProbabilityTheory.IdentDistrib.pow protected theorem sq [Pow γ ℕ] [MeasurablePow γ ℕ] (h : IdentDistrib f g μ ν) : IdentDistrib (fun x => f x ^ 2) (fun x => g x ^ 2) μ ν := h.comp (measurable_id.pow_const 2) #align probability_theory.ident_distrib.sq ProbabilityTheory.IdentDistrib.sq protected theorem coe_nnreal_ennreal {f : α → ℝ≥0} {g : β → ℝ≥0} (h : IdentDistrib f g μ ν) : IdentDistrib (fun x => (f x : ℝ≥0∞)) (fun x => (g x : ℝ≥0∞)) μ ν := h.comp measurable_coe_nnreal_ennreal #align probability_theory.ident_distrib.coe_nnreal_ennreal ProbabilityTheory.IdentDistrib.coe_nnreal_ennreal @[to_additive] theorem mul_const [Mul γ] [MeasurableMul γ] (h : IdentDistrib f g μ ν) (c : γ) : IdentDistrib (fun x => f x * c) (fun x => g x * c) μ ν := h.comp (measurable_mul_const c) #align probability_theory.ident_distrib.mul_const ProbabilityTheory.IdentDistrib.mul_const #align probability_theory.ident_distrib.add_const ProbabilityTheory.IdentDistrib.add_const @[to_additive] theorem const_mul [Mul γ] [MeasurableMul γ] (h : IdentDistrib f g μ ν) (c : γ) : IdentDistrib (fun x => c * f x) (fun x => c * g x) μ ν := h.comp (measurable_const_mul c) #align probability_theory.ident_distrib.const_mul ProbabilityTheory.IdentDistrib.const_mul #align probability_theory.ident_distrib.const_add ProbabilityTheory.IdentDistrib.const_add @[to_additive] theorem div_const [Div γ] [MeasurableDiv γ] (h : IdentDistrib f g μ ν) (c : γ) : IdentDistrib (fun x => f x / c) (fun x => g x / c) μ ν := h.comp (MeasurableDiv.measurable_div_const c) #align probability_theory.ident_distrib.div_const ProbabilityTheory.IdentDistrib.div_const #align probability_theory.ident_distrib.sub_const ProbabilityTheory.IdentDistrib.sub_const @[to_additive] theorem const_div [Div γ] [MeasurableDiv γ] (h : IdentDistrib f g μ ν) (c : γ) : IdentDistrib (fun x => c / f x) (fun x => c / g x) μ ν := h.comp (MeasurableDiv.measurable_const_div c) #align probability_theory.ident_distrib.const_div ProbabilityTheory.IdentDistrib.const_div #align probability_theory.ident_distrib.const_sub ProbabilityTheory.IdentDistrib.const_sub @[to_additive] lemma inv [Inv γ] [MeasurableInv γ] (h : IdentDistrib f g μ ν) : IdentDistrib f⁻¹ g⁻¹ μ ν := h.comp measurable_inv theorem evariance_eq {f : α → ℝ} {g : β → ℝ} (h : IdentDistrib f g μ ν) : evariance f μ = evariance g ν := by convert (h.sub_const (∫ x, f x ∂μ)).nnnorm.coe_nnreal_ennreal.sq.lintegral_eq rw [h.integral_eq] rfl #align probability_theory.ident_distrib.evariance_eq ProbabilityTheory.IdentDistrib.evariance_eq
Mathlib/Probability/IdentDistrib.lean
311
312
theorem variance_eq {f : α → ℝ} {g : β → ℝ} (h : IdentDistrib f g μ ν) : variance f μ = variance g ν := by
rw [variance, h.evariance_eq]; rfl
import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Perm import Mathlib.Data.Fintype.Prod import Mathlib.GroupTheory.Perm.Sign import Mathlib.Logic.Equiv.Option #align_import group_theory.perm.option from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" open Equiv @[simp] theorem Equiv.optionCongr_one {α : Type*} : (1 : Perm α).optionCongr = 1 := Equiv.optionCongr_refl #align equiv.option_congr_one Equiv.optionCongr_one @[simp] theorem Equiv.optionCongr_swap {α : Type*} [DecidableEq α] (x y : α) : optionCongr (swap x y) = swap (some x) (some y) := by ext (_ | i) · simp [swap_apply_of_ne_of_ne] · by_cases hx : i = x · simp only [hx, optionCongr_apply, Option.map_some', swap_apply_left, Option.mem_def, Option.some.injEq] by_cases hy : i = y <;> simp [hx, hy, swap_apply_of_ne_of_ne] #align equiv.option_congr_swap Equiv.optionCongr_swap @[simp] theorem Equiv.optionCongr_sign {α : Type*} [DecidableEq α] [Fintype α] (e : Perm α) : Perm.sign e.optionCongr = Perm.sign e := by refine Perm.swap_induction_on e ?_ ?_ · simp [Perm.one_def] · intro f x y hne h simp [h, hne, Perm.mul_def, ← Equiv.optionCongr_trans] #align equiv.option_congr_sign Equiv.optionCongr_sign @[simp] theorem map_equiv_removeNone {α : Type*} [DecidableEq α] (σ : Perm (Option α)) : (removeNone σ).optionCongr = swap none (σ none) * σ := by ext1 x have : Option.map (⇑(removeNone σ)) x = (swap none (σ none)) (σ x) := by cases' x with x · simp · cases h : σ (some _) · simp [removeNone_none _ h] · have hn : σ (some x) ≠ none := by simp [h] have hσn : σ (some x) ≠ σ none := σ.injective.ne (by simp) simp [removeNone_some _ ⟨_, h⟩, ← h, swap_apply_of_ne_of_ne hn hσn] simpa using this #align map_equiv_remove_none map_equiv_removeNone @[simps] def Equiv.Perm.decomposeOption {α : Type*} [DecidableEq α] : Perm (Option α) ≃ Option α × Perm α where toFun σ := (σ none, removeNone σ) invFun i := swap none i.1 * i.2.optionCongr left_inv σ := by simp right_inv := fun ⟨x, σ⟩ => by have : removeNone (swap none x * σ.optionCongr) = σ := Equiv.optionCongr_injective (by simp [← mul_assoc]) simp [← Perm.eq_inv_iff_eq, this] #align equiv.perm.decompose_option Equiv.Perm.decomposeOption
Mathlib/GroupTheory/Perm/Option.lean
76
77
theorem Equiv.Perm.decomposeOption_symm_of_none_apply {α : Type*} [DecidableEq α] (e : Perm α) (i : Option α) : Equiv.Perm.decomposeOption.symm (none, e) i = i.map e := by
simp
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
Mathlib/Algebra/Order/ToIntervalMod.lean
372
374
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]
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
.lake/packages/batteries/Batteries/Data/Rat/Lemmas.lean
229
230
theorem neg_normalize (n d z) : -normalize n d z = normalize (-n) d z := by
simp [normalize]; rfl
import Mathlib.Topology.Category.TopCat.Limits.Products #align_import topology.category.Top.limits.pullbacks from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" -- Porting note: every ML3 decl has an uppercase letter set_option linter.uppercaseLean3 false open TopologicalSpace open CategoryTheory open CategoryTheory.Limits universe v u w noncomputable section namespace TopCat variable {J : Type v} [SmallCategory J] section Pullback variable {X Y Z : TopCat.{u}} abbrev pullbackFst (f : X ⟶ Z) (g : Y ⟶ Z) : TopCat.of { p : X × Y // f p.1 = g p.2 } ⟶ X := ⟨Prod.fst ∘ Subtype.val, by apply Continuous.comp <;> set_option tactic.skipAssignedInstances false in continuity⟩ #align Top.pullback_fst TopCat.pullbackFst lemma pullbackFst_apply (f : X ⟶ Z) (g : Y ⟶ Z) (x) : pullbackFst f g x = x.1.1 := rfl abbrev pullbackSnd (f : X ⟶ Z) (g : Y ⟶ Z) : TopCat.of { p : X × Y // f p.1 = g p.2 } ⟶ Y := ⟨Prod.snd ∘ Subtype.val, by apply Continuous.comp <;> set_option tactic.skipAssignedInstances false in continuity⟩ #align Top.pullback_snd TopCat.pullbackSnd lemma pullbackSnd_apply (f : X ⟶ Z) (g : Y ⟶ Z) (x) : pullbackSnd f g x = x.1.2 := rfl def pullbackCone (f : X ⟶ Z) (g : Y ⟶ Z) : PullbackCone f g := PullbackCone.mk (pullbackFst f g) (pullbackSnd f g) (by dsimp [pullbackFst, pullbackSnd, Function.comp_def] ext ⟨x, h⟩ -- Next 2 lines were -- `rw [comp_apply, ContinuousMap.coe_mk, comp_apply, ContinuousMap.coe_mk]` -- `exact h` before leanprover/lean4#2644 rw [comp_apply, comp_apply] congr!) #align Top.pullback_cone TopCat.pullbackCone def pullbackConeIsLimit (f : X ⟶ Z) (g : Y ⟶ Z) : IsLimit (pullbackCone f g) := PullbackCone.isLimitAux' _ (by intro S constructor; swap · exact { toFun := fun x => ⟨⟨S.fst x, S.snd x⟩, by simpa using ConcreteCategory.congr_hom S.condition x⟩ continuous_toFun := by apply Continuous.subtype_mk <| Continuous.prod_mk ?_ ?_ · exact (PullbackCone.fst S)|>.continuous_toFun · exact (PullbackCone.snd S)|>.continuous_toFun } refine ⟨?_, ?_, ?_⟩ · delta pullbackCone ext a -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [comp_apply, ContinuousMap.coe_mk] · delta pullbackCone ext a -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [comp_apply, ContinuousMap.coe_mk] · intro m h₁ h₂ -- Porting note: used to be ext x apply ContinuousMap.ext; intro x apply Subtype.ext apply Prod.ext · simpa using ConcreteCategory.congr_hom h₁ x · simpa using ConcreteCategory.congr_hom h₂ x) #align Top.pullback_cone_is_limit TopCat.pullbackConeIsLimit def pullbackIsoProdSubtype (f : X ⟶ Z) (g : Y ⟶ Z) : pullback f g ≅ TopCat.of { p : X × Y // f p.1 = g p.2 } := (limit.isLimit _).conePointUniqueUpToIso (pullbackConeIsLimit f g) #align Top.pullback_iso_prod_subtype TopCat.pullbackIsoProdSubtype @[reassoc (attr := simp)]
Mathlib/Topology/Category/TopCat/Limits/Pullbacks.lean
103
105
theorem pullbackIsoProdSubtype_inv_fst (f : X ⟶ Z) (g : Y ⟶ Z) : (pullbackIsoProdSubtype f g).inv ≫ pullback.fst = pullbackFst f g := by
simp [pullbackCone, pullbackIsoProdSubtype]
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.Finsupp.Order #align_import data.finsupp.multiset from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" open Finset variable {α β ι : Type*} namespace Finsupp def toMultiset : (α →₀ ℕ) →+ Multiset α where toFun f := Finsupp.sum f fun a n => n • {a} -- Porting note: times out if h is not specified map_add' _f _g := sum_add_index' (h := fun a n => n • ({a} : Multiset α)) (fun _ ↦ zero_nsmul _) (fun _ ↦ add_nsmul _) map_zero' := sum_zero_index theorem toMultiset_zero : toMultiset (0 : α →₀ ℕ) = 0 := rfl #align finsupp.to_multiset_zero Finsupp.toMultiset_zero theorem toMultiset_add (m n : α →₀ ℕ) : toMultiset (m + n) = toMultiset m + toMultiset n := toMultiset.map_add m n #align finsupp.to_multiset_add Finsupp.toMultiset_add theorem toMultiset_apply (f : α →₀ ℕ) : toMultiset f = f.sum fun a n => n • {a} := rfl #align finsupp.to_multiset_apply Finsupp.toMultiset_apply @[simp] theorem toMultiset_single (a : α) (n : ℕ) : toMultiset (single a n) = n • {a} := by rw [toMultiset_apply, sum_single_index]; apply zero_nsmul #align finsupp.to_multiset_single Finsupp.toMultiset_single theorem toMultiset_sum {f : ι → α →₀ ℕ} (s : Finset ι) : Finsupp.toMultiset (∑ i ∈ s, f i) = ∑ i ∈ s, Finsupp.toMultiset (f i) := map_sum Finsupp.toMultiset _ _ #align finsupp.to_multiset_sum Finsupp.toMultiset_sum theorem toMultiset_sum_single (s : Finset ι) (n : ℕ) : Finsupp.toMultiset (∑ i ∈ s, single i n) = n • s.val := by simp_rw [toMultiset_sum, Finsupp.toMultiset_single, sum_nsmul, sum_multiset_singleton] #align finsupp.to_multiset_sum_single Finsupp.toMultiset_sum_single @[simp] theorem card_toMultiset (f : α →₀ ℕ) : Multiset.card (toMultiset f) = f.sum fun _ => id := by simp [toMultiset_apply, map_finsupp_sum, Function.id_def] #align finsupp.card_to_multiset Finsupp.card_toMultiset
Mathlib/Data/Finsupp/Multiset.lean
71
79
theorem toMultiset_map (f : α →₀ ℕ) (g : α → β) : f.toMultiset.map g = toMultiset (f.mapDomain g) := by
refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.map_zero, mapDomain_zero, toMultiset_zero] · intro a n f _ _ ih rw [toMultiset_add, Multiset.map_add, ih, mapDomain_add, mapDomain_single, toMultiset_single, toMultiset_add, toMultiset_single, ← Multiset.coe_mapAddMonoidHom, (Multiset.mapAddMonoidHom g).map_nsmul] rfl
import Mathlib.Data.Real.NNReal import Mathlib.Tactic.GCongr.Core #align_import analysis.normed.group.seminorm from "leanprover-community/mathlib"@"09079525fd01b3dda35e96adaa08d2f943e1648c" open Set open NNReal variable {ι R R' E F G : Type*} structure AddGroupSeminorm (G : Type*) [AddGroup G] where -- Porting note: can't extend `ZeroHom G ℝ` because otherwise `to_additive` won't work since -- we aren't using old structures protected toFun : G → ℝ protected map_zero' : toFun 0 = 0 protected add_le' : ∀ r s, toFun (r + s) ≤ toFun r + toFun s protected neg' : ∀ r, toFun (-r) = toFun r #align add_group_seminorm AddGroupSeminorm @[to_additive] structure GroupSeminorm (G : Type*) [Group G] where protected toFun : G → ℝ protected map_one' : toFun 1 = 0 protected mul_le' : ∀ x y, toFun (x * y) ≤ toFun x + toFun y protected inv' : ∀ x, toFun x⁻¹ = toFun x #align group_seminorm GroupSeminorm structure NonarchAddGroupSeminorm (G : Type*) [AddGroup G] extends ZeroHom G ℝ where protected add_le_max' : ∀ r s, toFun (r + s) ≤ max (toFun r) (toFun s) protected neg' : ∀ r, toFun (-r) = toFun r #align nonarch_add_group_seminorm NonarchAddGroupSeminorm structure AddGroupNorm (G : Type*) [AddGroup G] extends AddGroupSeminorm G where protected eq_zero_of_map_eq_zero' : ∀ x, toFun x = 0 → x = 0 #align add_group_norm AddGroupNorm @[to_additive] structure GroupNorm (G : Type*) [Group G] extends GroupSeminorm G where protected eq_one_of_map_eq_zero' : ∀ x, toFun x = 0 → x = 1 #align group_norm GroupNorm structure NonarchAddGroupNorm (G : Type*) [AddGroup G] extends NonarchAddGroupSeminorm G where protected eq_zero_of_map_eq_zero' : ∀ x, toFun x = 0 → x = 0 #align nonarch_add_group_norm NonarchAddGroupNorm class NonarchAddGroupSeminormClass (F : Type*) (α : outParam Type*) [AddGroup α] [FunLike F α ℝ] extends NonarchimedeanHomClass F α ℝ : Prop where protected map_zero (f : F) : f 0 = 0 protected map_neg_eq_map' (f : F) (a : α) : f (-a) = f a #align nonarch_add_group_seminorm_class NonarchAddGroupSeminormClass class NonarchAddGroupNormClass (F : Type*) (α : outParam Type*) [AddGroup α] [FunLike F α ℝ] extends NonarchAddGroupSeminormClass F α : Prop where protected eq_zero_of_map_eq_zero (f : F) {a : α} : f a = 0 → a = 0 #align nonarch_add_group_norm_class NonarchAddGroupNormClass section NonarchAddGroupSeminormClass variable [AddGroup E] [FunLike F E ℝ] [NonarchAddGroupSeminormClass F E] (f : F) (x y : E)
Mathlib/Analysis/Normed/Group/Seminorm.lean
148
150
theorem map_sub_le_max : f (x - y) ≤ max (f x) (f y) := by
rw [sub_eq_add_neg, ← NonarchAddGroupSeminormClass.map_neg_eq_map' f y] exact map_add_le_max _ _ _
import Mathlib.Data.ZMod.Quotient #align_import group_theory.complement from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" open Set open scoped Pointwise namespace Subgroup variable {G : Type*} [Group G] (H K : Subgroup G) (S T : Set G) @[to_additive "`S` and `T` are complements if `(+) : S × T → G` is a bijection"] def IsComplement : Prop := Function.Bijective fun x : S × T => x.1.1 * x.2.1 #align subgroup.is_complement Subgroup.IsComplement #align add_subgroup.is_complement AddSubgroup.IsComplement @[to_additive "`H` and `K` are complements if `(+) : H × K → G` is a bijection"] abbrev IsComplement' := IsComplement (H : Set G) (K : Set G) #align subgroup.is_complement' Subgroup.IsComplement' #align add_subgroup.is_complement' AddSubgroup.IsComplement' @[to_additive "The set of left-complements of `T : Set G`"] def leftTransversals : Set (Set G) := { S : Set G | IsComplement S T } #align subgroup.left_transversals Subgroup.leftTransversals #align add_subgroup.left_transversals AddSubgroup.leftTransversals @[to_additive "The set of right-complements of `S : Set G`"] def rightTransversals : Set (Set G) := { T : Set G | IsComplement S T } #align subgroup.right_transversals Subgroup.rightTransversals #align add_subgroup.right_transversals AddSubgroup.rightTransversals variable {H K S T} @[to_additive] theorem isComplement'_def : IsComplement' H K ↔ IsComplement (H : Set G) (K : Set G) := Iff.rfl #align subgroup.is_complement'_def Subgroup.isComplement'_def #align add_subgroup.is_complement'_def AddSubgroup.isComplement'_def @[to_additive] theorem isComplement_iff_existsUnique : IsComplement S T ↔ ∀ g : G, ∃! x : S × T, x.1.1 * x.2.1 = g := Function.bijective_iff_existsUnique _ #align subgroup.is_complement_iff_exists_unique Subgroup.isComplement_iff_existsUnique #align add_subgroup.is_complement_iff_exists_unique AddSubgroup.isComplement_iff_existsUnique @[to_additive] theorem IsComplement.existsUnique (h : IsComplement S T) (g : G) : ∃! x : S × T, x.1.1 * x.2.1 = g := isComplement_iff_existsUnique.mp h g #align subgroup.is_complement.exists_unique Subgroup.IsComplement.existsUnique #align add_subgroup.is_complement.exists_unique AddSubgroup.IsComplement.existsUnique @[to_additive] theorem IsComplement'.symm (h : IsComplement' H K) : IsComplement' K H := by let ϕ : H × K ≃ K × H := Equiv.mk (fun x => ⟨x.2⁻¹, x.1⁻¹⟩) (fun x => ⟨x.2⁻¹, x.1⁻¹⟩) (fun x => Prod.ext (inv_inv _) (inv_inv _)) fun x => Prod.ext (inv_inv _) (inv_inv _) let ψ : G ≃ G := Equiv.mk (fun g : G => g⁻¹) (fun g : G => g⁻¹) inv_inv inv_inv suffices hf : (ψ ∘ fun x : H × K => x.1.1 * x.2.1) = (fun x : K × H => x.1.1 * x.2.1) ∘ ϕ by rw [isComplement'_def, IsComplement, ← Equiv.bijective_comp ϕ] apply (congr_arg Function.Bijective hf).mp -- Porting note: This was a `rw` in mathlib3 rwa [ψ.comp_bijective] exact funext fun x => mul_inv_rev _ _ #align subgroup.is_complement'.symm Subgroup.IsComplement'.symm #align add_subgroup.is_complement'.symm AddSubgroup.IsComplement'.symm @[to_additive] theorem isComplement'_comm : IsComplement' H K ↔ IsComplement' K H := ⟨IsComplement'.symm, IsComplement'.symm⟩ #align subgroup.is_complement'_comm Subgroup.isComplement'_comm #align add_subgroup.is_complement'_comm AddSubgroup.isComplement'_comm @[to_additive] theorem isComplement_univ_singleton {g : G} : IsComplement (univ : Set G) {g} := ⟨fun ⟨_, _, rfl⟩ ⟨_, _, rfl⟩ h => Prod.ext (Subtype.ext (mul_right_cancel h)) rfl, fun x => ⟨⟨⟨x * g⁻¹, ⟨⟩⟩, g, rfl⟩, inv_mul_cancel_right x g⟩⟩ #align subgroup.is_complement_top_singleton Subgroup.isComplement_univ_singleton #align add_subgroup.is_complement_top_singleton AddSubgroup.isComplement_univ_singleton @[to_additive] theorem isComplement_singleton_univ {g : G} : IsComplement ({g} : Set G) univ := ⟨fun ⟨⟨_, rfl⟩, _⟩ ⟨⟨_, rfl⟩, _⟩ h => Prod.ext rfl (Subtype.ext (mul_left_cancel h)), fun x => ⟨⟨⟨g, rfl⟩, g⁻¹ * x, ⟨⟩⟩, mul_inv_cancel_left g x⟩⟩ #align subgroup.is_complement_singleton_top Subgroup.isComplement_singleton_univ #align add_subgroup.is_complement_singleton_top AddSubgroup.isComplement_singleton_univ @[to_additive] theorem isComplement_singleton_left {g : G} : IsComplement {g} S ↔ S = univ := by refine ⟨fun h => top_le_iff.mp fun x _ => ?_, fun h => (congr_arg _ h).mpr isComplement_singleton_univ⟩ obtain ⟨⟨⟨z, rfl : z = g⟩, y, _⟩, hy⟩ := h.2 (g * x) rwa [← mul_left_cancel hy] #align subgroup.is_complement_singleton_left Subgroup.isComplement_singleton_left #align add_subgroup.is_complement_singleton_left AddSubgroup.isComplement_singleton_left @[to_additive] theorem isComplement_singleton_right {g : G} : IsComplement S {g} ↔ S = univ := by refine ⟨fun h => top_le_iff.mp fun x _ => ?_, fun h => h ▸ isComplement_univ_singleton⟩ obtain ⟨y, hy⟩ := h.2 (x * g) conv_rhs at hy => rw [← show y.2.1 = g from y.2.2] rw [← mul_right_cancel hy] exact y.1.2 #align subgroup.is_complement_singleton_right Subgroup.isComplement_singleton_right #align add_subgroup.is_complement_singleton_right AddSubgroup.isComplement_singleton_right @[to_additive] theorem isComplement_univ_left : IsComplement univ S ↔ ∃ g : G, S = {g} := by refine ⟨fun h => Set.exists_eq_singleton_iff_nonempty_subsingleton.mpr ⟨?_, fun a ha b hb => ?_⟩, ?_⟩ · obtain ⟨a, _⟩ := h.2 1 exact ⟨a.2.1, a.2.2⟩ · have : (⟨⟨_, mem_top a⁻¹⟩, ⟨a, ha⟩⟩ : (⊤ : Set G) × S) = ⟨⟨_, mem_top b⁻¹⟩, ⟨b, hb⟩⟩ := h.1 ((inv_mul_self a).trans (inv_mul_self b).symm) exact Subtype.ext_iff.mp (Prod.ext_iff.mp this).2 · rintro ⟨g, rfl⟩ exact isComplement_univ_singleton #align subgroup.is_complement_top_left Subgroup.isComplement_univ_left #align add_subgroup.is_complement_top_left AddSubgroup.isComplement_univ_left @[to_additive] theorem isComplement_univ_right : IsComplement S univ ↔ ∃ g : G, S = {g} := by refine ⟨fun h => Set.exists_eq_singleton_iff_nonempty_subsingleton.mpr ⟨?_, fun a ha b hb => ?_⟩, ?_⟩ · obtain ⟨a, _⟩ := h.2 1 exact ⟨a.1.1, a.1.2⟩ · have : (⟨⟨a, ha⟩, ⟨_, mem_top a⁻¹⟩⟩ : S × (⊤ : Set G)) = ⟨⟨b, hb⟩, ⟨_, mem_top b⁻¹⟩⟩ := h.1 ((mul_inv_self a).trans (mul_inv_self b).symm) exact Subtype.ext_iff.mp (Prod.ext_iff.mp this).1 · rintro ⟨g, rfl⟩ exact isComplement_singleton_univ #align subgroup.is_complement_top_right Subgroup.isComplement_univ_right #align add_subgroup.is_complement_top_right AddSubgroup.isComplement_univ_right @[to_additive] lemma IsComplement.mul_eq (h : IsComplement S T) : S * T = univ := eq_univ_of_forall fun x ↦ by simpa [mem_mul] using (h.existsUnique x).exists @[to_additive AddSubgroup.IsComplement.card_mul_card] lemma IsComplement.card_mul_card (h : IsComplement S T) : Nat.card S * Nat.card T = Nat.card G := (Nat.card_prod _ _).symm.trans <| Nat.card_congr <| Equiv.ofBijective _ h @[to_additive] theorem isComplement'_top_bot : IsComplement' (⊤ : Subgroup G) ⊥ := isComplement_univ_singleton #align subgroup.is_complement'_top_bot Subgroup.isComplement'_top_bot #align add_subgroup.is_complement'_top_bot AddSubgroup.isComplement'_top_bot @[to_additive] theorem isComplement'_bot_top : IsComplement' (⊥ : Subgroup G) ⊤ := isComplement_singleton_univ #align subgroup.is_complement'_bot_top Subgroup.isComplement'_bot_top #align add_subgroup.is_complement'_bot_top AddSubgroup.isComplement'_bot_top @[to_additive (attr := simp)] theorem isComplement'_bot_left : IsComplement' ⊥ H ↔ H = ⊤ := isComplement_singleton_left.trans coe_eq_univ #align subgroup.is_complement'_bot_left Subgroup.isComplement'_bot_left #align add_subgroup.is_complement'_bot_left AddSubgroup.isComplement'_bot_left @[to_additive (attr := simp)] theorem isComplement'_bot_right : IsComplement' H ⊥ ↔ H = ⊤ := isComplement_singleton_right.trans coe_eq_univ #align subgroup.is_complement'_bot_right Subgroup.isComplement'_bot_right #align add_subgroup.is_complement'_bot_right AddSubgroup.isComplement'_bot_right @[to_additive (attr := simp)] theorem isComplement'_top_left : IsComplement' ⊤ H ↔ H = ⊥ := isComplement_univ_left.trans coe_eq_singleton #align subgroup.is_complement'_top_left Subgroup.isComplement'_top_left #align add_subgroup.is_complement'_top_left AddSubgroup.isComplement'_top_left @[to_additive (attr := simp)] theorem isComplement'_top_right : IsComplement' H ⊤ ↔ H = ⊥ := isComplement_univ_right.trans coe_eq_singleton #align subgroup.is_complement'_top_right Subgroup.isComplement'_top_right #align add_subgroup.is_complement'_top_right AddSubgroup.isComplement'_top_right @[to_additive] theorem mem_leftTransversals_iff_existsUnique_inv_mul_mem : S ∈ leftTransversals T ↔ ∀ g : G, ∃! s : S, (s : G)⁻¹ * g ∈ T := by rw [leftTransversals, Set.mem_setOf_eq, isComplement_iff_existsUnique] refine ⟨fun h g => ?_, fun h g => ?_⟩ · obtain ⟨x, h1, h2⟩ := h g exact ⟨x.1, (congr_arg (· ∈ T) (eq_inv_mul_of_mul_eq h1)).mp x.2.2, fun y hy => (Prod.ext_iff.mp (h2 ⟨y, (↑y)⁻¹ * g, hy⟩ (mul_inv_cancel_left ↑y g))).1⟩ · obtain ⟨x, h1, h2⟩ := h g refine ⟨⟨x, (↑x)⁻¹ * g, h1⟩, mul_inv_cancel_left (↑x) g, fun y hy => ?_⟩ have hf := h2 y.1 ((congr_arg (· ∈ T) (eq_inv_mul_of_mul_eq hy)).mp y.2.2) exact Prod.ext hf (Subtype.ext (eq_inv_mul_of_mul_eq (hf ▸ hy))) #align subgroup.mem_left_transversals_iff_exists_unique_inv_mul_mem Subgroup.mem_leftTransversals_iff_existsUnique_inv_mul_mem #align add_subgroup.mem_left_transversals_iff_exists_unique_neg_add_mem AddSubgroup.mem_leftTransversals_iff_existsUnique_neg_add_mem @[to_additive] theorem mem_rightTransversals_iff_existsUnique_mul_inv_mem : S ∈ rightTransversals T ↔ ∀ g : G, ∃! s : S, g * (s : G)⁻¹ ∈ T := by rw [rightTransversals, Set.mem_setOf_eq, isComplement_iff_existsUnique] refine ⟨fun h g => ?_, fun h g => ?_⟩ · obtain ⟨x, h1, h2⟩ := h g exact ⟨x.2, (congr_arg (· ∈ T) (eq_mul_inv_of_mul_eq h1)).mp x.1.2, fun y hy => (Prod.ext_iff.mp (h2 ⟨⟨g * (↑y)⁻¹, hy⟩, y⟩ (inv_mul_cancel_right g y))).2⟩ · obtain ⟨x, h1, h2⟩ := h g refine ⟨⟨⟨g * (↑x)⁻¹, h1⟩, x⟩, inv_mul_cancel_right g x, fun y hy => ?_⟩ have hf := h2 y.2 ((congr_arg (· ∈ T) (eq_mul_inv_of_mul_eq hy)).mp y.1.2) exact Prod.ext (Subtype.ext (eq_mul_inv_of_mul_eq (hf ▸ hy))) hf #align subgroup.mem_right_transversals_iff_exists_unique_mul_inv_mem Subgroup.mem_rightTransversals_iff_existsUnique_mul_inv_mem #align add_subgroup.mem_right_transversals_iff_exists_unique_add_neg_mem AddSubgroup.mem_rightTransversals_iff_existsUnique_add_neg_mem @[to_additive] theorem mem_leftTransversals_iff_existsUnique_quotient_mk''_eq : S ∈ leftTransversals (H : Set G) ↔ ∀ q : Quotient (QuotientGroup.leftRel H), ∃! s : S, Quotient.mk'' s.1 = q := by simp_rw [mem_leftTransversals_iff_existsUnique_inv_mul_mem, SetLike.mem_coe, ← QuotientGroup.eq'] exact ⟨fun h q => Quotient.inductionOn' q h, fun h g => h (Quotient.mk'' g)⟩ #align subgroup.mem_left_transversals_iff_exists_unique_quotient_mk'_eq Subgroup.mem_leftTransversals_iff_existsUnique_quotient_mk''_eq #align add_subgroup.mem_left_transversals_iff_exists_unique_quotient_mk'_eq AddSubgroup.mem_leftTransversals_iff_existsUnique_quotient_mk''_eq @[to_additive] theorem mem_rightTransversals_iff_existsUnique_quotient_mk''_eq : S ∈ rightTransversals (H : Set G) ↔ ∀ q : Quotient (QuotientGroup.rightRel H), ∃! s : S, Quotient.mk'' s.1 = q := by simp_rw [mem_rightTransversals_iff_existsUnique_mul_inv_mem, SetLike.mem_coe, ← QuotientGroup.rightRel_apply, ← Quotient.eq''] exact ⟨fun h q => Quotient.inductionOn' q h, fun h g => h (Quotient.mk'' g)⟩ #align subgroup.mem_right_transversals_iff_exists_unique_quotient_mk'_eq Subgroup.mem_rightTransversals_iff_existsUnique_quotient_mk''_eq #align add_subgroup.mem_right_transversals_iff_exists_unique_quotient_mk'_eq AddSubgroup.mem_rightTransversals_iff_existsUnique_quotient_mk''_eq @[to_additive] theorem mem_leftTransversals_iff_bijective : S ∈ leftTransversals (H : Set G) ↔ Function.Bijective (S.restrict (Quotient.mk'' : G → Quotient (QuotientGroup.leftRel H))) := mem_leftTransversals_iff_existsUnique_quotient_mk''_eq.trans (Function.bijective_iff_existsUnique (S.restrict Quotient.mk'')).symm #align subgroup.mem_left_transversals_iff_bijective Subgroup.mem_leftTransversals_iff_bijective #align add_subgroup.mem_left_transversals_iff_bijective AddSubgroup.mem_leftTransversals_iff_bijective @[to_additive] theorem mem_rightTransversals_iff_bijective : S ∈ rightTransversals (H : Set G) ↔ Function.Bijective (S.restrict (Quotient.mk'' : G → Quotient (QuotientGroup.rightRel H))) := mem_rightTransversals_iff_existsUnique_quotient_mk''_eq.trans (Function.bijective_iff_existsUnique (S.restrict Quotient.mk'')).symm #align subgroup.mem_right_transversals_iff_bijective Subgroup.mem_rightTransversals_iff_bijective #align add_subgroup.mem_right_transversals_iff_bijective AddSubgroup.mem_rightTransversals_iff_bijective @[to_additive] theorem card_left_transversal (h : S ∈ leftTransversals (H : Set G)) : Nat.card S = H.index := Nat.card_congr <| Equiv.ofBijective _ <| mem_leftTransversals_iff_bijective.mp h #align subgroup.card_left_transversal Subgroup.card_left_transversal #align add_subgroup.card_left_transversal AddSubgroup.card_left_transversal @[to_additive] theorem card_right_transversal (h : S ∈ rightTransversals (H : Set G)) : Nat.card S = H.index := Nat.card_congr <| (Equiv.ofBijective _ <| mem_rightTransversals_iff_bijective.mp h).trans <| QuotientGroup.quotientRightRelEquivQuotientLeftRel H #align subgroup.card_right_transversal Subgroup.card_right_transversal #align add_subgroup.card_right_transversal AddSubgroup.card_right_transversal @[to_additive] theorem range_mem_leftTransversals {f : G ⧸ H → G} (hf : ∀ q, ↑(f q) = q) : Set.range f ∈ leftTransversals (H : Set G) := mem_leftTransversals_iff_bijective.mpr ⟨by rintro ⟨-, q₁, rfl⟩ ⟨-, q₂, rfl⟩ h exact Subtype.ext <| congr_arg f <| ((hf q₁).symm.trans h).trans (hf q₂), fun q => ⟨⟨f q, q, rfl⟩, hf q⟩⟩ #align subgroup.range_mem_left_transversals Subgroup.range_mem_leftTransversals #align add_subgroup.range_mem_left_transversals AddSubgroup.range_mem_leftTransversals @[to_additive] theorem range_mem_rightTransversals {f : Quotient (QuotientGroup.rightRel H) → G} (hf : ∀ q, Quotient.mk'' (f q) = q) : Set.range f ∈ rightTransversals (H : Set G) := mem_rightTransversals_iff_bijective.mpr ⟨by rintro ⟨-, q₁, rfl⟩ ⟨-, q₂, rfl⟩ h exact Subtype.ext <| congr_arg f <| ((hf q₁).symm.trans h).trans (hf q₂), fun q => ⟨⟨f q, q, rfl⟩, hf q⟩⟩ #align subgroup.range_mem_right_transversals Subgroup.range_mem_rightTransversals #align add_subgroup.range_mem_right_transversals AddSubgroup.range_mem_rightTransversals @[to_additive] lemma exists_left_transversal (H : Subgroup G) (g : G) : ∃ S ∈ leftTransversals (H : Set G), g ∈ S := by classical refine ⟨Set.range (Function.update Quotient.out' _ g), range_mem_leftTransversals fun q => ?_, Quotient.mk'' g, Function.update_same (Quotient.mk'' g) g Quotient.out'⟩ by_cases hq : q = Quotient.mk'' g · exact hq.symm ▸ congr_arg _ (Function.update_same (Quotient.mk'' g) g Quotient.out') · refine (Function.update_noteq ?_ g Quotient.out') ▸ q.out_eq' exact hq #align subgroup.exists_left_transversal Subgroup.exists_left_transversal #align add_subgroup.exists_left_transversal AddSubgroup.exists_left_transversal @[to_additive] lemma exists_right_transversal (H : Subgroup G) (g : G) : ∃ S ∈ rightTransversals (H : Set G), g ∈ S := by classical refine ⟨Set.range (Function.update Quotient.out' _ g), range_mem_rightTransversals fun q => ?_, Quotient.mk'' g, Function.update_same (Quotient.mk'' g) g Quotient.out'⟩ by_cases hq : q = Quotient.mk'' g · exact hq.symm ▸ congr_arg _ (Function.update_same (Quotient.mk'' g) g Quotient.out') · exact Eq.trans (congr_arg _ (Function.update_noteq hq g Quotient.out')) q.out_eq' #align subgroup.exists_right_transversal Subgroup.exists_right_transversal #align add_subgroup.exists_right_transversal AddSubgroup.exists_right_transversal @[to_additive "Given two subgroups `H' ⊆ H`, there exists a transversal to `H'` inside `H`"] lemma exists_left_transversal_of_le {H' H : Subgroup G} (h : H' ≤ H) : ∃ S : Set G, S * H' = H ∧ Nat.card S * Nat.card H' = Nat.card H := by let H'' : Subgroup H := H'.comap H.subtype have : H' = H''.map H.subtype := by simp [H'', h] rw [this] obtain ⟨S, cmem, -⟩ := H''.exists_left_transversal 1 refine ⟨H.subtype '' S, ?_, ?_⟩ · have : H.subtype '' (S * H'') = H.subtype '' S * H''.map H.subtype := image_mul H.subtype rw [← this, cmem.mul_eq] simp [Set.ext_iff] · rw [← cmem.card_mul_card] refine congr_arg₂ (· * ·) ?_ ?_ <;> exact Nat.card_congr (Equiv.Set.image _ _ <| subtype_injective H).symm @[to_additive "Given two subgroups `H' ⊆ H`, there exists a transversal to `H'` inside `H`"] lemma exists_right_transversal_of_le {H' H : Subgroup G} (h : H' ≤ H) : ∃ S : Set G, H' * S = H ∧ Nat.card H' * Nat.card S = Nat.card H := by let H'' : Subgroup H := H'.comap H.subtype have : H' = H''.map H.subtype := by simp [H'', h] rw [this] obtain ⟨S, cmem, -⟩ := H''.exists_right_transversal 1 refine ⟨H.subtype '' S, ?_, ?_⟩ · have : H.subtype '' (H'' * S) = H''.map H.subtype * H.subtype '' S := image_mul H.subtype rw [← this, cmem.mul_eq] simp [Set.ext_iff] · have : Nat.card H'' * Nat.card S = Nat.card H := cmem.card_mul_card rw [← this] refine congr_arg₂ (· * ·) ?_ ?_ <;> exact Nat.card_congr (Equiv.Set.image _ _ <| subtype_injective H).symm namespace IsComplement noncomputable def equiv {S T : Set G} (hST : IsComplement S T) : G ≃ S × T := (Equiv.ofBijective (fun x : S × T => x.1.1 * x.2.1) hST).symm variable (hST : IsComplement S T) (hHT : IsComplement H T) (hSK : IsComplement S K) @[simp] theorem equiv_symm_apply (x : S × T) : (hST.equiv.symm x : G) = x.1.1 * x.2.1 := rfl @[simp] theorem equiv_fst_mul_equiv_snd (g : G) : ↑(hST.equiv g).fst * (hST.equiv g).snd = g := (Equiv.ofBijective (fun x : S × T => x.1.1 * x.2.1) hST).right_inv g theorem equiv_fst_eq_mul_inv (g : G) : ↑(hST.equiv g).fst = g * ((hST.equiv g).snd : G)⁻¹ := eq_mul_inv_of_mul_eq (hST.equiv_fst_mul_equiv_snd g) theorem equiv_snd_eq_inv_mul (g : G) : ↑(hST.equiv g).snd = ((hST.equiv g).fst : G)⁻¹ * g := eq_inv_mul_of_mul_eq (hST.equiv_fst_mul_equiv_snd g)
Mathlib/GroupTheory/Complement.lean
399
413
theorem equiv_fst_eq_iff_leftCosetEquivalence {g₁ g₂ : G} : (hSK.equiv g₁).fst = (hSK.equiv g₂).fst ↔ LeftCosetEquivalence K g₁ g₂ := by
rw [LeftCosetEquivalence, leftCoset_eq_iff] constructor · intro h rw [← hSK.equiv_fst_mul_equiv_snd g₂, ← hSK.equiv_fst_mul_equiv_snd g₁, ← h, mul_inv_rev, ← mul_assoc, inv_mul_cancel_right, ← coe_inv, ← coe_mul] exact Subtype.property _ · intro h apply (mem_leftTransversals_iff_existsUnique_inv_mul_mem.1 hSK g₁).unique · -- This used to be `simp [...]` before leanprover/lean4#2644 rw [equiv_fst_eq_mul_inv]; simp · rw [SetLike.mem_coe, ← mul_mem_cancel_right h] -- This used to be `simp [...]` before leanprover/lean4#2644 rw [equiv_fst_eq_mul_inv]; simp [equiv_fst_eq_mul_inv, ← mul_assoc]
import Mathlib.Algebra.Field.Opposite import Mathlib.Algebra.Group.Subgroup.ZPowers import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Algebra.Ring.NegOnePow import Mathlib.Algebra.Order.Archimedean import Mathlib.GroupTheory.Coset #align_import algebra.periodic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e" variable {α β γ : Type*} {f g : α → β} {c c₁ c₂ x : α} open Set namespace Function @[simp] def Periodic [Add α] (f : α → β) (c : α) : Prop := ∀ x : α, f (x + c) = f x #align function.periodic Function.Periodic protected theorem Periodic.funext [Add α] (h : Periodic f c) : (fun x => f (x + c)) = f := funext h #align function.periodic.funext Function.Periodic.funext protected theorem Periodic.comp [Add α] (h : Periodic f c) (g : β → γ) : Periodic (g ∘ f) c := by simp_all #align function.periodic.comp Function.Periodic.comp theorem Periodic.comp_addHom [Add α] [Add γ] (h : Periodic f c) (g : AddHom γ α) (g_inv : α → γ) (hg : RightInverse g_inv g) : Periodic (f ∘ g) (g_inv c) := fun x => by simp only [hg c, h (g x), map_add, comp_apply] #align function.periodic.comp_add_hom Function.Periodic.comp_addHom @[to_additive] protected theorem Periodic.mul [Add α] [Mul β] (hf : Periodic f c) (hg : Periodic g c) : Periodic (f * g) c := by simp_all #align function.periodic.mul Function.Periodic.mul #align function.periodic.add Function.Periodic.add @[to_additive] protected theorem Periodic.div [Add α] [Div β] (hf : Periodic f c) (hg : Periodic g c) : Periodic (f / g) c := by simp_all #align function.periodic.div Function.Periodic.div #align function.periodic.sub Function.Periodic.sub @[to_additive] theorem _root_.List.periodic_prod [Add α] [Monoid β] (l : List (α → β)) (hl : ∀ f ∈ l, Periodic f c) : Periodic l.prod c := by induction' l with g l ih hl · simp · rw [List.forall_mem_cons] at hl simpa only [List.prod_cons] using hl.1.mul (ih hl.2) #align list.periodic_prod List.periodic_prod #align list.periodic_sum List.periodic_sum @[to_additive] theorem _root_.Multiset.periodic_prod [Add α] [CommMonoid β] (s : Multiset (α → β)) (hs : ∀ f ∈ s, Periodic f c) : Periodic s.prod c := (s.prod_toList ▸ s.toList.periodic_prod) fun f hf => hs f <| Multiset.mem_toList.mp hf #align multiset.periodic_prod Multiset.periodic_prod #align multiset.periodic_sum Multiset.periodic_sum @[to_additive] theorem _root_.Finset.periodic_prod [Add α] [CommMonoid β] {ι : Type*} {f : ι → α → β} (s : Finset ι) (hs : ∀ i ∈ s, Periodic (f i) c) : Periodic (∏ i ∈ s, f i) c := s.prod_to_list f ▸ (s.toList.map f).periodic_prod (by simpa [-Periodic] ) #align finset.periodic_prod Finset.periodic_prod #align finset.periodic_sum Finset.periodic_sum @[to_additive] protected theorem Periodic.smul [Add α] [SMul γ β] (h : Periodic f c) (a : γ) : Periodic (a • f) c := by simp_all #align function.periodic.smul Function.Periodic.smul #align function.periodic.vadd Function.Periodic.vadd protected theorem Periodic.const_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by simpa only [smul_add, smul_inv_smul] using h (a • x) #align function.periodic.const_smul Function.Periodic.const_smul protected theorem Periodic.const_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by by_cases ha : a = 0 · simp only [ha, zero_smul] · simpa only [smul_add, smul_inv_smul₀ ha] using h (a • x) #align function.periodic.const_smul₀ Function.Periodic.const_smul₀ protected theorem Periodic.const_mul [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a * x)) (a⁻¹ * c) := Periodic.const_smul₀ h a #align function.periodic.const_mul Function.Periodic.const_mul theorem Periodic.const_inv_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by simpa only [inv_inv] using h.const_smul a⁻¹ #align function.periodic.const_inv_smul Function.Periodic.const_inv_smul theorem Periodic.const_inv_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by simpa only [inv_inv] using h.const_smul₀ a⁻¹ #align function.periodic.const_inv_smul₀ Function.Periodic.const_inv_smul₀ theorem Periodic.const_inv_mul [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a⁻¹ * x)) (a * c) := h.const_inv_smul₀ a #align function.periodic.const_inv_mul Function.Periodic.const_inv_mul theorem Periodic.mul_const [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x * a)) (c * a⁻¹) := h.const_smul₀ (MulOpposite.op a) #align function.periodic.mul_const Function.Periodic.mul_const theorem Periodic.mul_const' [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x * a)) (c / a) := by simpa only [div_eq_mul_inv] using h.mul_const a #align function.periodic.mul_const' Function.Periodic.mul_const' theorem Periodic.mul_const_inv [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x * a⁻¹)) (c * a) := h.const_inv_smul₀ (MulOpposite.op a) #align function.periodic.mul_const_inv Function.Periodic.mul_const_inv theorem Periodic.div_const [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x / a)) (c * a) := by simpa only [div_eq_mul_inv] using h.mul_const_inv a #align function.periodic.div_const Function.Periodic.div_const theorem Periodic.add_period [AddSemigroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) : Periodic f (c₁ + c₂) := by simp_all [← add_assoc] #align function.periodic.add_period Function.Periodic.add_period theorem Periodic.sub_eq [AddGroup α] (h : Periodic f c) (x : α) : f (x - c) = f x := by simpa only [sub_add_cancel] using (h (x - c)).symm #align function.periodic.sub_eq Function.Periodic.sub_eq theorem Periodic.sub_eq' [AddCommGroup α] (h : Periodic f c) : f (c - x) = f (-x) := by simpa only [sub_eq_neg_add] using h (-x) #align function.periodic.sub_eq' Function.Periodic.sub_eq' protected theorem Periodic.neg [AddGroup α] (h : Periodic f c) : Periodic f (-c) := by simpa only [sub_eq_add_neg, Periodic] using h.sub_eq #align function.periodic.neg Function.Periodic.neg theorem Periodic.sub_period [AddGroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) : Periodic f (c₁ - c₂) := fun x => by rw [sub_eq_add_neg, ← add_assoc, h2.neg, h1] #align function.periodic.sub_period Function.Periodic.sub_period theorem Periodic.const_add [AddSemigroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a + x)) c := fun x => by simpa [add_assoc] using h (a + x) #align function.periodic.const_add Function.Periodic.const_add theorem Periodic.add_const [AddCommSemigroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x + a)) c := fun x => by simpa only [add_right_comm] using h (x + a) #align function.periodic.add_const Function.Periodic.add_const theorem Periodic.const_sub [AddCommGroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a - x)) c := fun x => by simp only [← sub_sub, h.sub_eq] #align function.periodic.const_sub Function.Periodic.const_sub theorem Periodic.sub_const [AddCommGroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x - a)) c := by simpa only [sub_eq_add_neg] using h.add_const (-a) #align function.periodic.sub_const Function.Periodic.sub_const theorem Periodic.nsmul [AddMonoid α] (h : Periodic f c) (n : ℕ) : Periodic f (n • c) := by induction n <;> simp_all [Nat.succ_eq_add_one, add_nsmul, ← add_assoc, zero_nsmul] #align function.periodic.nsmul Function.Periodic.nsmul theorem Periodic.nat_mul [Semiring α] (h : Periodic f c) (n : ℕ) : Periodic f (n * c) := by simpa only [nsmul_eq_mul] using h.nsmul n #align function.periodic.nat_mul Function.Periodic.nat_mul theorem Periodic.neg_nsmul [AddGroup α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n • c)) := (h.nsmul n).neg #align function.periodic.neg_nsmul Function.Periodic.neg_nsmul theorem Periodic.neg_nat_mul [Ring α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n * c)) := (h.nat_mul n).neg #align function.periodic.neg_nat_mul Function.Periodic.neg_nat_mul theorem Periodic.sub_nsmul_eq [AddGroup α] (h : Periodic f c) (n : ℕ) : f (x - n • c) = f x := by simpa only [sub_eq_add_neg] using h.neg_nsmul n x #align function.periodic.sub_nsmul_eq Function.Periodic.sub_nsmul_eq theorem Periodic.sub_nat_mul_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (x - n * c) = f x := by simpa only [nsmul_eq_mul] using h.sub_nsmul_eq n #align function.periodic.sub_nat_mul_eq Function.Periodic.sub_nat_mul_eq theorem Periodic.nsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℕ) : f (n • c - x) = f (-x) := (h.nsmul n).sub_eq' #align function.periodic.nsmul_sub_eq Function.Periodic.nsmul_sub_eq theorem Periodic.nat_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (n * c - x) = f (-x) := by simpa only [sub_eq_neg_add] using h.nat_mul n (-x) #align function.periodic.nat_mul_sub_eq Function.Periodic.nat_mul_sub_eq protected theorem Periodic.zsmul [AddGroup α] (h : Periodic f c) (n : ℤ) : Periodic f (n • c) := by cases' n with n n · simpa only [Int.ofNat_eq_coe, natCast_zsmul] using h.nsmul n · simpa only [negSucc_zsmul] using (h.nsmul (n + 1)).neg #align function.periodic.zsmul Function.Periodic.zsmul protected theorem Periodic.int_mul [Ring α] (h : Periodic f c) (n : ℤ) : Periodic f (n * c) := by simpa only [zsmul_eq_mul] using h.zsmul n #align function.periodic.int_mul Function.Periodic.int_mul theorem Periodic.sub_zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (x - n • c) = f x := (h.zsmul n).sub_eq x #align function.periodic.sub_zsmul_eq Function.Periodic.sub_zsmul_eq theorem Periodic.sub_int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (x - n * c) = f x := (h.int_mul n).sub_eq x #align function.periodic.sub_int_mul_eq Function.Periodic.sub_int_mul_eq theorem Periodic.zsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℤ) : f (n • c - x) = f (-x) := (h.zsmul _).sub_eq' #align function.periodic.zsmul_sub_eq Function.Periodic.zsmul_sub_eq theorem Periodic.int_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c - x) = f (-x) := (h.int_mul _).sub_eq' #align function.periodic.int_mul_sub_eq Function.Periodic.int_mul_sub_eq protected theorem Periodic.eq [AddZeroClass α] (h : Periodic f c) : f c = f 0 := by simpa only [zero_add] using h 0 #align function.periodic.eq Function.Periodic.eq protected theorem Periodic.neg_eq [AddGroup α] (h : Periodic f c) : f (-c) = f 0 := h.neg.eq #align function.periodic.neg_eq Function.Periodic.neg_eq protected theorem Periodic.nsmul_eq [AddMonoid α] (h : Periodic f c) (n : ℕ) : f (n • c) = f 0 := (h.nsmul n).eq #align function.periodic.nsmul_eq Function.Periodic.nsmul_eq theorem Periodic.nat_mul_eq [Semiring α] (h : Periodic f c) (n : ℕ) : f (n * c) = f 0 := (h.nat_mul n).eq #align function.periodic.nat_mul_eq Function.Periodic.nat_mul_eq theorem Periodic.zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (n • c) = f 0 := (h.zsmul n).eq #align function.periodic.zsmul_eq Function.Periodic.zsmul_eq theorem Periodic.int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c) = f 0 := (h.int_mul n).eq #align function.periodic.int_mul_eq Function.Periodic.int_mul_eq theorem Periodic.exists_mem_Ico₀ [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (x) : ∃ y ∈ Ico 0 c, f x = f y := let ⟨n, H, _⟩ := existsUnique_zsmul_near_of_pos' hc x ⟨x - n • c, H, (h.sub_zsmul_eq n).symm⟩ #align function.periodic.exists_mem_Ico₀ Function.Periodic.exists_mem_Ico₀ theorem Periodic.exists_mem_Ico [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (x a) : ∃ y ∈ Ico a (a + c), f x = f y := let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ico hc x a ⟨x + n • c, H, (h.zsmul n x).symm⟩ #align function.periodic.exists_mem_Ico Function.Periodic.exists_mem_Ico theorem Periodic.exists_mem_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (x a) : ∃ y ∈ Ioc a (a + c), f x = f y := let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ioc hc x a ⟨x + n • c, H, (h.zsmul n x).symm⟩ #align function.periodic.exists_mem_Ioc Function.Periodic.exists_mem_Ioc theorem Periodic.image_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (a : α) : f '' Ioc a (a + c) = range f := (image_subset_range _ _).antisymm <| range_subset_iff.2 fun x => let ⟨y, hy, hyx⟩ := h.exists_mem_Ioc hc x a ⟨y, hy, hyx.symm⟩ #align function.periodic.image_Ioc Function.Periodic.image_Ioc theorem Periodic.image_Icc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (a : α) : f '' Icc a (a + c) = range f := (image_subset_range _ _).antisymm <| h.image_Ioc hc a ▸ image_subset _ Ioc_subset_Icc_self theorem Periodic.image_uIcc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : c ≠ 0) (a : α) : f '' uIcc a (a + c) = range f := by cases hc.lt_or_lt with | inl hc => rw [uIcc_of_ge (add_le_of_nonpos_right hc.le), ← h.neg.image_Icc (neg_pos.2 hc) (a + c), add_neg_cancel_right] | inr hc => rw [uIcc_of_le (le_add_of_nonneg_right hc.le), h.image_Icc hc] theorem periodic_with_period_zero [AddZeroClass α] (f : α → β) : Periodic f 0 := fun x => by rw [add_zero] #align function.periodic_with_period_zero Function.periodic_with_period_zero theorem Periodic.map_vadd_zmultiples [AddCommGroup α] (hf : Periodic f c) (a : AddSubgroup.zmultiples c) (x : α) : f (a +ᵥ x) = f x := by rcases a with ⟨_, m, rfl⟩ simp [AddSubgroup.vadd_def, add_comm _ x, hf.zsmul m x] #align function.periodic.map_vadd_zmultiples Function.Periodic.map_vadd_zmultiples theorem Periodic.map_vadd_multiples [AddCommMonoid α] (hf : Periodic f c) (a : AddSubmonoid.multiples c) (x : α) : f (a +ᵥ x) = f x := by rcases a with ⟨_, m, rfl⟩ simp [AddSubmonoid.vadd_def, add_comm _ x, hf.nsmul m x] #align function.periodic.map_vadd_multiples Function.Periodic.map_vadd_multiples def Periodic.lift [AddGroup α] (h : Periodic f c) (x : α ⧸ AddSubgroup.zmultiples c) : β := Quotient.liftOn' x f fun a b h' => by rw [QuotientAddGroup.leftRel_apply] at h' obtain ⟨k, hk⟩ := h' exact (h.zsmul k _).symm.trans (congr_arg f (add_eq_of_eq_neg_add hk)) #align function.periodic.lift Function.Periodic.lift @[simp] theorem Periodic.lift_coe [AddGroup α] (h : Periodic f c) (a : α) : h.lift (a : α ⧸ AddSubgroup.zmultiples c) = f a := rfl #align function.periodic.lift_coe Function.Periodic.lift_coe lemma Periodic.not_injective {R X : Type*} [AddZeroClass R] {f : R → X} {c : R} (hf : Periodic f c) (hc : c ≠ 0) : ¬ Injective f := fun h ↦ hc <| h hf.eq @[simp] def Antiperiodic [Add α] [Neg β] (f : α → β) (c : α) : Prop := ∀ x : α, f (x + c) = -f x #align function.antiperiodic Function.Antiperiodic protected theorem Antiperiodic.funext [Add α] [Neg β] (h : Antiperiodic f c) : (fun x => f (x + c)) = -f := funext h #align function.antiperiodic.funext Function.Antiperiodic.funext protected theorem Antiperiodic.funext' [Add α] [InvolutiveNeg β] (h : Antiperiodic f c) : (fun x => -f (x + c)) = f := neg_eq_iff_eq_neg.mpr h.funext #align function.antiperiodic.funext' Function.Antiperiodic.funext' protected theorem Antiperiodic.periodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c) : Periodic f (2 • c) := by simp [two_nsmul, ← add_assoc, h _] protected theorem Antiperiodic.periodic_two_mul [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c) : Periodic f (2 * c) := nsmul_eq_mul 2 c ▸ h.periodic #align function.antiperiodic.periodic Function.Antiperiodic.periodic_two_mul protected theorem Antiperiodic.eq [AddZeroClass α] [Neg β] (h : Antiperiodic f c) : f c = -f 0 := by simpa only [zero_add] using h 0 #align function.antiperiodic.eq Function.Antiperiodic.eq theorem Antiperiodic.even_nsmul_periodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Periodic f ((2 * n) • c) := mul_nsmul c 2 n ▸ h.periodic.nsmul n theorem Antiperiodic.nat_even_mul_periodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Periodic f (n * (2 * c)) := h.periodic_two_mul.nat_mul n #align function.antiperiodic.nat_even_mul_periodic Function.Antiperiodic.nat_even_mul_periodic theorem Antiperiodic.odd_nsmul_antiperiodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Antiperiodic f ((2 * n + 1) • c) := fun x => by rw [add_nsmul, one_nsmul, ← add_assoc, h, h.even_nsmul_periodic] theorem Antiperiodic.nat_odd_mul_antiperiodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Antiperiodic f (n * (2 * c) + c) := fun x => by rw [← add_assoc, h, h.nat_even_mul_periodic] #align function.antiperiodic.nat_odd_mul_antiperiodic Function.Antiperiodic.nat_odd_mul_antiperiodic theorem Antiperiodic.even_zsmul_periodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Periodic f ((2 * n) • c) := by rw [mul_comm, mul_zsmul, two_zsmul, ← two_nsmul] exact h.periodic.zsmul n theorem Antiperiodic.int_even_mul_periodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Periodic f (n * (2 * c)) := h.periodic_two_mul.int_mul n #align function.antiperiodic.int_even_mul_periodic Function.Antiperiodic.int_even_mul_periodic theorem Antiperiodic.odd_zsmul_antiperiodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Antiperiodic f ((2 * n + 1) • c) := by intro x rw [add_zsmul, one_zsmul, ← add_assoc, h, h.even_zsmul_periodic] theorem Antiperiodic.int_odd_mul_antiperiodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Antiperiodic f (n * (2 * c) + c) := fun x => by rw [← add_assoc, h, h.int_even_mul_periodic] #align function.antiperiodic.int_odd_mul_antiperiodic Function.Antiperiodic.int_odd_mul_antiperiodic theorem Antiperiodic.sub_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (x : α) : f (x - c) = -f x := by simp only [← neg_eq_iff_eq_neg, ← h (x - c), sub_add_cancel] #align function.antiperiodic.sub_eq Function.Antiperiodic.sub_eq theorem Antiperiodic.sub_eq' [AddCommGroup α] [Neg β] (h : Antiperiodic f c) : f (c - x) = -f (-x) := by simpa only [sub_eq_neg_add] using h (-x) #align function.antiperiodic.sub_eq' Function.Antiperiodic.sub_eq' protected theorem Antiperiodic.neg [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) : Antiperiodic f (-c) := by simpa only [sub_eq_add_neg, Antiperiodic] using h.sub_eq #align function.antiperiodic.neg Function.Antiperiodic.neg theorem Antiperiodic.neg_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) : f (-c) = -f 0 := by simpa only [zero_add] using h.neg 0 #align function.antiperiodic.neg_eq Function.Antiperiodic.neg_eq theorem Antiperiodic.nat_mul_eq_of_eq_zero [Semiring α] [NegZeroClass β] (h : Antiperiodic f c) (hi : f 0 = 0) : ∀ n : ℕ, f (n * c) = 0 | 0 => by rwa [Nat.cast_zero, zero_mul] | n + 1 => by simp [add_mul, h _, Antiperiodic.nat_mul_eq_of_eq_zero h hi n] #align function.antiperiodic.nat_mul_eq_of_eq_zero Function.Antiperiodic.nat_mul_eq_of_eq_zero theorem Antiperiodic.int_mul_eq_of_eq_zero [Ring α] [SubtractionMonoid β] (h : Antiperiodic f c) (hi : f 0 = 0) : ∀ n : ℤ, f (n * c) = 0 | (n : ℕ) => by rw [Int.cast_natCast, h.nat_mul_eq_of_eq_zero hi n] | .negSucc n => by rw [Int.cast_negSucc, neg_mul, ← mul_neg, h.neg.nat_mul_eq_of_eq_zero hi] #align function.antiperiodic.int_mul_eq_of_eq_zero Function.Antiperiodic.int_mul_eq_of_eq_zero
Mathlib/Algebra/Periodic.lean
458
463
theorem Antiperiodic.add_zsmul_eq [AddGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) : f (x + n • c) = (n.negOnePow : ℤ) • f x := by
rcases Int.even_or_odd' n with ⟨k, rfl | rfl⟩ · rw [h.even_zsmul_periodic, Int.negOnePow_two_mul, Units.val_one, one_zsmul] · rw [h.odd_zsmul_antiperiodic, Int.negOnePow_two_mul_add_one, Units.val_neg, Units.val_one, neg_zsmul, one_zsmul]
import Mathlib.Data.Complex.Module import Mathlib.LinearAlgebra.Determinant #align_import data.complex.determinant from "leanprover-community/mathlib"@"65ec59902eb17e4ab7da8d7e3d0bd9774d1b8b99" namespace Complex @[simp]
Mathlib/Data/Complex/Determinant.lean
24
26
theorem det_conjAe : LinearMap.det conjAe.toLinearMap = -1 := by
rw [← LinearMap.det_toMatrix basisOneI, toMatrix_conjAe, Matrix.det_fin_two_of] simp
import Mathlib.Algebra.Associated import Mathlib.Algebra.Order.Monoid.Unbundled.Pow import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.nat.prime from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Bool Subtype open Nat namespace Nat variable {n : ℕ} -- Porting note (#11180): removed @[pp_nodot] def Prime (p : ℕ) := Irreducible p #align nat.prime Nat.Prime theorem irreducible_iff_nat_prime (a : ℕ) : Irreducible a ↔ Nat.Prime a := Iff.rfl #align irreducible_iff_nat_prime Nat.irreducible_iff_nat_prime @[aesop safe destruct] theorem not_prime_zero : ¬Prime 0 | h => h.ne_zero rfl #align nat.not_prime_zero Nat.not_prime_zero @[aesop safe destruct] theorem not_prime_one : ¬Prime 1 | h => h.ne_one rfl #align nat.not_prime_one Nat.not_prime_one theorem Prime.ne_zero {n : ℕ} (h : Prime n) : n ≠ 0 := Irreducible.ne_zero h #align nat.prime.ne_zero Nat.Prime.ne_zero theorem Prime.pos {p : ℕ} (pp : Prime p) : 0 < p := Nat.pos_of_ne_zero pp.ne_zero #align nat.prime.pos Nat.Prime.pos theorem Prime.two_le : ∀ {p : ℕ}, Prime p → 2 ≤ p | 0, h => (not_prime_zero h).elim | 1, h => (not_prime_one h).elim | _ + 2, _ => le_add_self #align nat.prime.two_le Nat.Prime.two_le theorem Prime.one_lt {p : ℕ} : Prime p → 1 < p := Prime.two_le #align nat.prime.one_lt Nat.Prime.one_lt lemma Prime.one_le {p : ℕ} (hp : p.Prime) : 1 ≤ p := hp.one_lt.le instance Prime.one_lt' (p : ℕ) [hp : Fact p.Prime] : Fact (1 < p) := ⟨hp.1.one_lt⟩ #align nat.prime.one_lt' Nat.Prime.one_lt' theorem Prime.ne_one {p : ℕ} (hp : p.Prime) : p ≠ 1 := hp.one_lt.ne' #align nat.prime.ne_one Nat.Prime.ne_one theorem Prime.eq_one_or_self_of_dvd {p : ℕ} (pp : p.Prime) (m : ℕ) (hm : m ∣ p) : m = 1 ∨ m = p := by obtain ⟨n, hn⟩ := hm have := pp.isUnit_or_isUnit hn rw [Nat.isUnit_iff, Nat.isUnit_iff] at this apply Or.imp_right _ this rintro rfl rw [hn, mul_one] #align nat.prime.eq_one_or_self_of_dvd Nat.Prime.eq_one_or_self_of_dvd theorem prime_def_lt'' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, m ∣ p → m = 1 ∨ m = p := by refine ⟨fun h => ⟨h.two_le, h.eq_one_or_self_of_dvd⟩, fun h => ?_⟩ -- Porting note: needed to make ℕ explicit have h1 := (@one_lt_two ℕ ..).trans_le h.1 refine ⟨mt Nat.isUnit_iff.mp h1.ne', fun a b hab => ?_⟩ simp only [Nat.isUnit_iff] apply Or.imp_right _ (h.2 a _) · rintro rfl rw [← mul_right_inj' (pos_of_gt h1).ne', ← hab, mul_one] · rw [hab] exact dvd_mul_right _ _ #align nat.prime_def_lt'' Nat.prime_def_lt'' theorem prime_def_lt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m < p, m ∣ p → m = 1 := prime_def_lt''.trans <| and_congr_right fun p2 => forall_congr' fun _ => ⟨fun h l d => (h d).resolve_right (ne_of_lt l), fun h d => (le_of_dvd (le_of_succ_le p2) d).lt_or_eq_dec.imp_left fun l => h l d⟩ #align nat.prime_def_lt Nat.prime_def_lt theorem prime_def_lt' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m < p → ¬m ∣ p := prime_def_lt.trans <| and_congr_right fun p2 => forall_congr' fun m => ⟨fun h m2 l d => not_lt_of_ge m2 ((h l d).symm ▸ by decide), fun h l d => by rcases m with (_ | _ | m) · rw [eq_zero_of_zero_dvd d] at p2 revert p2 decide · rfl · exact (h le_add_self l).elim d⟩ #align nat.prime_def_lt' Nat.prime_def_lt' theorem prime_def_le_sqrt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m ≤ sqrt p → ¬m ∣ p := prime_def_lt'.trans <| and_congr_right fun p2 => ⟨fun a m m2 l => a m m2 <| lt_of_le_of_lt l <| sqrt_lt_self p2, fun a => have : ∀ {m k : ℕ}, m ≤ k → 1 < m → p ≠ m * k := fun {m k} mk m1 e => a m m1 (le_sqrt.2 (e.symm ▸ Nat.mul_le_mul_left m mk)) ⟨k, e⟩ fun m m2 l ⟨k, e⟩ => by rcases le_total m k with mk | km · exact this mk m2 e · rw [mul_comm] at e refine this km (lt_of_mul_lt_mul_right ?_ (zero_le m)) e rwa [one_mul, ← e]⟩ #align nat.prime_def_le_sqrt Nat.prime_def_le_sqrt
Mathlib/Data/Nat/Prime.lean
147
153
theorem prime_of_coprime (n : ℕ) (h1 : 1 < n) (h : ∀ m < n, m ≠ 0 → n.Coprime m) : Prime n := by
refine prime_def_lt.mpr ⟨h1, fun m mlt mdvd => ?_⟩ have hm : m ≠ 0 := by rintro rfl rw [zero_dvd_iff] at mdvd exact mlt.ne' mdvd exact (h m mlt hm).symm.eq_one_of_dvd mdvd
import Mathlib.Analysis.Analytic.Basic import Mathlib.Analysis.Complex.Basic import Mathlib.Analysis.Normed.Field.InfiniteSum import Mathlib.Data.Nat.Choose.Cast import Mathlib.Data.Finset.NoncommProd import Mathlib.Topology.Algebra.Algebra #align_import analysis.normed_space.exponential from "leanprover-community/mathlib"@"62748956a1ece9b26b33243e2e3a2852176666f5" namespace NormedSpace open Filter RCLike ContinuousMultilinearMap NormedField Asymptotics open scoped Nat Topology ENNReal section TopologicalAlgebra variable (𝕂 𝔸 : Type*) [Field 𝕂] [Ring 𝔸] [Algebra 𝕂 𝔸] [TopologicalSpace 𝔸] [TopologicalRing 𝔸] def expSeries : FormalMultilinearSeries 𝕂 𝔸 𝔸 := fun n => (n !⁻¹ : 𝕂) • ContinuousMultilinearMap.mkPiAlgebraFin 𝕂 n 𝔸 #align exp_series NormedSpace.expSeries variable {𝔸} noncomputable def exp (x : 𝔸) : 𝔸 := (expSeries 𝕂 𝔸).sum x #align exp NormedSpace.exp variable {𝕂} theorem expSeries_apply_eq (x : 𝔸) (n : ℕ) : (expSeries 𝕂 𝔸 n fun _ => x) = (n !⁻¹ : 𝕂) • x ^ n := by simp [expSeries] #align exp_series_apply_eq NormedSpace.expSeries_apply_eq theorem expSeries_apply_eq' (x : 𝔸) : (fun n => expSeries 𝕂 𝔸 n fun _ => x) = fun n => (n !⁻¹ : 𝕂) • x ^ n := funext (expSeries_apply_eq x) #align exp_series_apply_eq' NormedSpace.expSeries_apply_eq' theorem expSeries_sum_eq (x : 𝔸) : (expSeries 𝕂 𝔸).sum x = ∑' n : ℕ, (n !⁻¹ : 𝕂) • x ^ n := tsum_congr fun n => expSeries_apply_eq x n #align exp_series_sum_eq NormedSpace.expSeries_sum_eq theorem exp_eq_tsum : exp 𝕂 = fun x : 𝔸 => ∑' n : ℕ, (n !⁻¹ : 𝕂) • x ^ n := funext expSeries_sum_eq #align exp_eq_tsum NormedSpace.exp_eq_tsum theorem expSeries_apply_zero (n : ℕ) : (expSeries 𝕂 𝔸 n fun _ => (0 : 𝔸)) = Pi.single (f := fun _ => 𝔸) 0 1 n := by rw [expSeries_apply_eq] cases' n with n · rw [pow_zero, Nat.factorial_zero, Nat.cast_one, inv_one, one_smul, Pi.single_eq_same] · rw [zero_pow (Nat.succ_ne_zero _), smul_zero, Pi.single_eq_of_ne n.succ_ne_zero] #align exp_series_apply_zero NormedSpace.expSeries_apply_zero @[simp] theorem exp_zero : exp 𝕂 (0 : 𝔸) = 1 := by simp_rw [exp_eq_tsum, ← expSeries_apply_eq, expSeries_apply_zero, tsum_pi_single] #align exp_zero NormedSpace.exp_zero @[simp] theorem exp_op [T2Space 𝔸] (x : 𝔸) : exp 𝕂 (MulOpposite.op x) = MulOpposite.op (exp 𝕂 x) := by simp_rw [exp, expSeries_sum_eq, ← MulOpposite.op_pow, ← MulOpposite.op_smul, tsum_op] #align exp_op NormedSpace.exp_op @[simp]
Mathlib/Analysis/NormedSpace/Exponential.lean
155
157
theorem exp_unop [T2Space 𝔸] (x : 𝔸ᵐᵒᵖ) : exp 𝕂 (MulOpposite.unop x) = MulOpposite.unop (exp 𝕂 x) := by
simp_rw [exp, expSeries_sum_eq, ← MulOpposite.unop_pow, ← MulOpposite.unop_smul, tsum_unop]
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 theorem intCast_eq_intCast_iff (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [ZMOD c] := CharP.intCast_eq_intCast (ZMod c) c #align zmod.int_coe_eq_int_coe_iff ZMod.intCast_eq_intCast_iff @[deprecated (since := "2024-04-17")] alias int_cast_eq_int_cast_iff := intCast_eq_intCast_iff theorem intCast_eq_intCast_iff' (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c := ZMod.intCast_eq_intCast_iff a b c #align zmod.int_coe_eq_int_coe_iff' ZMod.intCast_eq_intCast_iff' @[deprecated (since := "2024-04-17")] alias int_cast_eq_int_cast_iff' := intCast_eq_intCast_iff' theorem natCast_eq_natCast_iff (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [MOD c] := by simpa [Int.natCast_modEq_iff] using ZMod.intCast_eq_intCast_iff a b c #align zmod.nat_coe_eq_nat_coe_iff ZMod.natCast_eq_natCast_iff @[deprecated (since := "2024-04-17")] alias nat_cast_eq_nat_cast_iff := natCast_eq_natCast_iff theorem natCast_eq_natCast_iff' (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c := ZMod.natCast_eq_natCast_iff a b c #align zmod.nat_coe_eq_nat_coe_iff' ZMod.natCast_eq_natCast_iff' @[deprecated (since := "2024-04-17")] alias nat_cast_eq_nat_cast_iff' := natCast_eq_natCast_iff' theorem intCast_zmod_eq_zero_iff_dvd (a : ℤ) (b : ℕ) : (a : ZMod b) = 0 ↔ (b : ℤ) ∣ a := by rw [← Int.cast_zero, ZMod.intCast_eq_intCast_iff, Int.modEq_zero_iff_dvd] #align zmod.int_coe_zmod_eq_zero_iff_dvd ZMod.intCast_zmod_eq_zero_iff_dvd @[deprecated (since := "2024-04-17")] alias int_cast_zmod_eq_zero_iff_dvd := intCast_zmod_eq_zero_iff_dvd theorem intCast_eq_intCast_iff_dvd_sub (a b : ℤ) (c : ℕ) : (a : ZMod c) = ↑b ↔ ↑c ∣ b - a := by rw [ZMod.intCast_eq_intCast_iff, Int.modEq_iff_dvd] #align zmod.int_coe_eq_int_coe_iff_dvd_sub ZMod.intCast_eq_intCast_iff_dvd_sub @[deprecated (since := "2024-04-17")] alias int_cast_eq_int_cast_iff_dvd_sub := intCast_eq_intCast_iff_dvd_sub theorem natCast_zmod_eq_zero_iff_dvd (a b : ℕ) : (a : ZMod b) = 0 ↔ b ∣ a := by rw [← Nat.cast_zero, ZMod.natCast_eq_natCast_iff, Nat.modEq_zero_iff_dvd] #align zmod.nat_coe_zmod_eq_zero_iff_dvd ZMod.natCast_zmod_eq_zero_iff_dvd @[deprecated (since := "2024-04-17")] alias nat_cast_zmod_eq_zero_iff_dvd := natCast_zmod_eq_zero_iff_dvd theorem val_intCast {n : ℕ} (a : ℤ) [NeZero n] : ↑(a : ZMod n).val = a % n := by have hle : (0 : ℤ) ≤ ↑(a : ZMod n).val := Int.natCast_nonneg _ have hlt : ↑(a : ZMod n).val < (n : ℤ) := Int.ofNat_lt.mpr (ZMod.val_lt a) refine (Int.emod_eq_of_lt hle hlt).symm.trans ?_ rw [← ZMod.intCast_eq_intCast_iff', Int.cast_natCast, ZMod.natCast_val, ZMod.cast_id] #align zmod.val_int_cast ZMod.val_intCast @[deprecated (since := "2024-04-17")] alias val_int_cast := val_intCast theorem coe_intCast {n : ℕ} (a : ℤ) : cast (a : ZMod n) = a % n := by cases n · rw [Int.ofNat_zero, Int.emod_zero, Int.cast_id]; rfl · rw [← val_intCast, val]; rfl #align zmod.coe_int_cast ZMod.coe_intCast @[deprecated (since := "2024-04-17")] alias coe_int_cast := coe_intCast @[simp] theorem val_neg_one (n : ℕ) : (-1 : ZMod n.succ).val = n := by dsimp [val, Fin.coe_neg] cases n · simp [Nat.mod_one] · dsimp [ZMod, ZMod.cast] rw [Fin.coe_neg_one] #align zmod.val_neg_one ZMod.val_neg_one theorem cast_neg_one {R : Type*} [Ring R] (n : ℕ) : cast (-1 : ZMod n) = (n - 1 : R) := by cases' n with n · dsimp [ZMod, ZMod.cast]; simp · rw [← natCast_val, val_neg_one, Nat.cast_succ, add_sub_cancel_right] #align zmod.cast_neg_one ZMod.cast_neg_one theorem cast_sub_one {R : Type*} [Ring R] {n : ℕ} (k : ZMod n) : (cast (k - 1 : ZMod n) : R) = (if k = 0 then (n : R) else cast k) - 1 := by split_ifs with hk · rw [hk, zero_sub, ZMod.cast_neg_one] · cases n · dsimp [ZMod, ZMod.cast] rw [Int.cast_sub, Int.cast_one] · dsimp [ZMod, ZMod.cast, ZMod.val] rw [Fin.coe_sub_one, if_neg] · rw [Nat.cast_sub, Nat.cast_one] rwa [Fin.ext_iff, Fin.val_zero, ← Ne, ← Nat.one_le_iff_ne_zero] at hk · exact hk #align zmod.cast_sub_one ZMod.cast_sub_one
Mathlib/Data/ZMod/Basic.lean
650
658
theorem natCast_eq_iff (p : ℕ) (n : ℕ) (z : ZMod p) [NeZero p] : ↑n = z ↔ ∃ k, n = z.val + p * k := by
constructor · rintro rfl refine ⟨n / p, ?_⟩ rw [val_natCast, Nat.mod_add_div] · rintro ⟨k, rfl⟩ rw [Nat.cast_add, natCast_zmod_val, Nat.cast_mul, natCast_self, zero_mul, add_zero]
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp] theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd] #align vsub_add_vsub_cancel vsub_add_vsub_cancel @[simp] theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_) rw [vsub_add_vsub_cancel, vsub_self] #align neg_vsub_eq_vsub_rev neg_vsub_eq_vsub_rev theorem vadd_vsub_eq_sub_vsub (g : G) (p q : P) : g +ᵥ p -ᵥ q = g - (q -ᵥ p) := by rw [vadd_vsub_assoc, sub_eq_add_neg, neg_vsub_eq_vsub_rev] #align vadd_vsub_eq_sub_vsub vadd_vsub_eq_sub_vsub theorem vsub_vadd_eq_vsub_sub (p₁ p₂ : P) (g : G) : p₁ -ᵥ (g +ᵥ p₂) = p₁ -ᵥ p₂ - g := by rw [← add_right_inj (p₂ -ᵥ p₁ : G), vsub_add_vsub_cancel, ← neg_vsub_eq_vsub_rev, vadd_vsub, ← add_sub_assoc, ← neg_vsub_eq_vsub_rev, neg_add_self, zero_sub] #align vsub_vadd_eq_vsub_sub vsub_vadd_eq_vsub_sub @[simp] theorem vsub_sub_vsub_cancel_right (p₁ p₂ p₃ : P) : p₁ -ᵥ p₃ - (p₂ -ᵥ p₃) = p₁ -ᵥ p₂ := by rw [← vsub_vadd_eq_vsub_sub, vsub_vadd] #align vsub_sub_vsub_cancel_right vsub_sub_vsub_cancel_right theorem eq_vadd_iff_vsub_eq (p₁ : P) (g : G) (p₂ : P) : p₁ = g +ᵥ p₂ ↔ p₁ -ᵥ p₂ = g := ⟨fun h => h.symm ▸ vadd_vsub _ _, fun h => h ▸ (vsub_vadd _ _).symm⟩ #align eq_vadd_iff_vsub_eq eq_vadd_iff_vsub_eq theorem vadd_eq_vadd_iff_neg_add_eq_vsub {v₁ v₂ : G} {p₁ p₂ : P} : v₁ +ᵥ p₁ = v₂ +ᵥ p₂ ↔ -v₁ + v₂ = p₁ -ᵥ p₂ := by rw [eq_vadd_iff_vsub_eq, vadd_vsub_assoc, ← add_right_inj (-v₁), neg_add_cancel_left, eq_comm] #align vadd_eq_vadd_iff_neg_add_eq_vsub vadd_eq_vadd_iff_neg_add_eq_vsub section comm variable {G : Type*} {P : Type*} [AddCommGroup G] [AddTorsor G P] @[simp] theorem vsub_sub_vsub_cancel_left (p₁ p₂ p₃ : P) : p₃ -ᵥ p₂ - (p₃ -ᵥ p₁) = p₁ -ᵥ p₂ := by rw [sub_eq_add_neg, neg_vsub_eq_vsub_rev, add_comm, vsub_add_vsub_cancel] #align vsub_sub_vsub_cancel_left vsub_sub_vsub_cancel_left @[simp] theorem vadd_vsub_vadd_cancel_left (v : G) (p₁ p₂ : P) : v +ᵥ p₁ -ᵥ (v +ᵥ p₂) = p₁ -ᵥ p₂ := by rw [vsub_vadd_eq_vsub_sub, vadd_vsub_assoc, add_sub_cancel_left] #align vadd_vsub_vadd_cancel_left vadd_vsub_vadd_cancel_left theorem vsub_vadd_comm (p₁ p₂ p₃ : P) : (p₁ -ᵥ p₂ : G) +ᵥ p₃ = p₃ -ᵥ p₂ +ᵥ p₁ := by rw [← @vsub_eq_zero_iff_eq G, vadd_vsub_assoc, vsub_vadd_eq_vsub_sub] simp #align vsub_vadd_comm vsub_vadd_comm
Mathlib/Algebra/AddTorsor.lean
265
267
theorem vadd_eq_vadd_iff_sub_eq_vsub {v₁ v₂ : G} {p₁ p₂ : P} : v₁ +ᵥ p₁ = v₂ +ᵥ p₂ ↔ v₂ - v₁ = p₁ -ᵥ p₂ := by
rw [vadd_eq_vadd_iff_neg_add_eq_vsub, neg_add_eq_sub]
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] theorem rootSet_one (S) [CommRing S] [IsDomain S] [Algebra T S] : (1 : T[X]).rootSet S = ∅ := by rw [← C_1, rootSet_C] @[simp]
Mathlib/Algebra/Polynomial/Roots.lean
531
533
theorem rootSet_neg (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : (-p).rootSet S = p.rootSet S := by
rw [rootSet, aroots_neg, rootSet]
import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.RingTheory.Finiteness open scoped TensorProduct open Submodule variable {R M N : Type*} variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N] variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N} namespace TensorProduct
Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean
52
60
theorem exists_multiset (x : M ⊗[R] N) : ∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨{(x, y)}, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩