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import Mathlib.CategoryTheory.EffectiveEpi.Preserves import Mathlib.CategoryTheory.Limits.Final.ParallelPair import Mathlib.CategoryTheory.Preadditive.Projective import Mathlib.CategoryTheory.Sites.Canonical import Mathlib.CategoryTheory.Sites.Coherent.Basic import Mathlib.CategoryTheory.Sites.EffectiveEpimorphic namespace CategoryTheory open Limits variable {C D E : Type*} [Category C] [Category D] [Category E] open Opposite Presieve Functor class Presieve.regular {X : C} (R : Presieve X) : Prop where single_epi : ∃ (Y : C) (f : Y ⟶ X), R = Presieve.ofArrows (fun (_ : Unit) ↦ Y) (fun (_ : Unit) ↦ f) ∧ EffectiveEpi f namespace regularTopology lemma equalizerCondition_w (P : Cᵒᵖ ⥤ D) {X B : C} {π : X ⟶ B} (c : PullbackCone π π) : P.map π.op ≫ P.map c.fst.op = P.map π.op ≫ P.map c.snd.op := by simp only [← Functor.map_comp, ← op_comp, c.condition] def SingleEqualizerCondition (P : Cᵒᵖ ⥤ D) ⦃X B : C⦄ (π : X ⟶ B) : Prop := ∀ (c : PullbackCone π π) (_ : IsLimit c), Nonempty (IsLimit (Fork.ofι (P.map π.op) (equalizerCondition_w P c))) def EqualizerCondition (P : Cᵒᵖ ⥤ D) : Prop := ∀ ⦃X B : C⦄ (π : X ⟶ B) [EffectiveEpi π], SingleEqualizerCondition P π theorem equalizerCondition_of_natIso {P P' : Cᵒᵖ ⥤ D} (i : P ≅ P') (hP : EqualizerCondition P) : EqualizerCondition P' := fun X B π _ c hc ↦ ⟨Fork.isLimitOfIsos _ (hP π c hc).some _ (i.app _) (i.app _) (i.app _)⟩ theorem equalizerCondition_precomp_of_preservesPullback (P : Cᵒᵖ ⥤ D) (F : E ⥤ C) [∀ {X B} (π : X ⟶ B) [EffectiveEpi π], PreservesLimit (cospan π π) F] [F.PreservesEffectiveEpis] (hP : EqualizerCondition P) : EqualizerCondition (F.op ⋙ P) := by intro X B π _ c hc have h : P.map (F.map π).op = (F.op ⋙ P).map π.op := by simp refine ⟨(IsLimit.equivIsoLimit (ForkOfι.ext ?_ _ h)) ?_⟩ · simp only [Functor.comp_map, op_map, Quiver.Hom.unop_op, ← map_comp, ← op_comp, c.condition] · refine (hP (F.map π) (PullbackCone.mk (F.map c.fst) (F.map c.snd) ?_) ?_).some · simp only [← map_comp, c.condition] · exact (isLimitMapConePullbackConeEquiv F c.condition) (isLimitOfPreserves F (hc.ofIsoLimit (PullbackCone.ext (Iso.refl _) (by simp) (by simp)))) def MapToEqualizer (P : Cᵒᵖ ⥤ Type*) {W X B : C} (f : X ⟶ B) (g₁ g₂ : W ⟶ X) (w : g₁ ≫ f = g₂ ≫ f) : P.obj (op B) → { x : P.obj (op X) | P.map g₁.op x = P.map g₂.op x } := fun t ↦ ⟨P.map f.op t, by simp only [Set.mem_setOf_eq, ← FunctorToTypes.map_comp_apply, ← op_comp, w]⟩ theorem EqualizerCondition.bijective_mapToEqualizer_pullback (P : Cᵒᵖ ⥤ Type*) (hP : EqualizerCondition P) : ∀ (X B : C) (π : X ⟶ B) [EffectiveEpi π] [HasPullback π π], Function.Bijective (MapToEqualizer P π (pullback.fst (f := π) (g := π)) (pullback.snd (f := π) (g := π)) pullback.condition) := by intro X B π _ _ specialize hP π _ (pullbackIsPullback π π) rw [Types.type_equalizer_iff_unique] at hP rw [Function.bijective_iff_existsUnique] intro ⟨b, hb⟩ obtain ⟨a, ha₁, ha₂⟩ := hP b hb refine ⟨a, ?_, ?_⟩ · simpa [MapToEqualizer] using ha₁ · simpa [MapToEqualizer] using ha₂ theorem EqualizerCondition.mk (P : Cᵒᵖ ⥤ Type*) (hP : ∀ (X B : C) (π : X ⟶ B) [EffectiveEpi π] [HasPullback π π], Function.Bijective (MapToEqualizer P π (pullback.fst (f := π) (g := π)) (pullback.snd (f := π) (g := π)) pullback.condition)) : EqualizerCondition P := by intro X B π _ c hc have : HasPullback π π := ⟨c, hc⟩ specialize hP X B π rw [Types.type_equalizer_iff_unique] rw [Function.bijective_iff_existsUnique] at hP intro b hb have h₁ : ((pullbackIsPullback π π).conePointUniqueUpToIso hc).hom ≫ c.fst = pullback.fst (f := π) (g := π) := by simp have hb' : P.map (pullback.fst (f := π) (g := π)).op b = P.map pullback.snd.op b := by rw [← h₁, op_comp, FunctorToTypes.map_comp_apply, hb] simp [← FunctorToTypes.map_comp_apply, ← op_comp] obtain ⟨a, ha₁, ha₂⟩ := hP ⟨b, hb'⟩ refine ⟨a, ?_, ?_⟩ · simpa [MapToEqualizer] using ha₁ · simpa [MapToEqualizer] using ha₂ lemma equalizerCondition_w' (P : Cᵒᵖ ⥤ Type*) {X B : C} (π : X ⟶ B) [HasPullback π π] : P.map π.op ≫ P.map (pullback.fst (f := π) (g := π)).op = P.map π.op ≫ P.map (pullback.snd).op := by simp only [← Functor.map_comp, ← op_comp, pullback.condition] lemma mapToEqualizer_eq_comp (P : Cᵒᵖ ⥤ Type*) {X B : C} (π : X ⟶ B) [HasPullback π π] : MapToEqualizer P π pullback.fst pullback.snd pullback.condition = equalizer.lift (P.map π.op) (equalizerCondition_w' P π) ≫ (Types.equalizerIso _ _).hom := by rw [← Iso.comp_inv_eq (α := Types.equalizerIso _ _)] apply equalizer.hom_ext aesop
Mathlib/CategoryTheory/Sites/Coherent/RegularSheaves.lean
136
150
theorem equalizerCondition_iff_isIso_lift (P : Cᵒᵖ ⥤ Type*) : EqualizerCondition P ↔ ∀ (X B : C) (π : X ⟶ B) [EffectiveEpi π] [HasPullback π π], IsIso (equalizer.lift (P.map π.op) (equalizerCondition_w' P π)) := by
constructor · intro hP X B π _ _ have h := hP.bijective_mapToEqualizer_pullback _ X B π rw [← isIso_iff_bijective, mapToEqualizer_eq_comp] at h exact IsIso.of_isIso_comp_right (equalizer.lift (P.map π.op) (equalizerCondition_w' P π)) (Types.equalizerIso _ _).hom · intro hP apply EqualizerCondition.mk intro X B π _ _ rw [mapToEqualizer_eq_comp, ← isIso_iff_bijective] infer_instance
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Bits import Mathlib.Data.Nat.Log import Mathlib.Data.List.Indexes import Mathlib.Data.List.Palindrome import Mathlib.Tactic.IntervalCases import Mathlib.Tactic.Linarith import Mathlib.Tactic.Ring #align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace Nat variable {n : ℕ} def digitsAux0 : ℕ → List ℕ | 0 => [] | n + 1 => [n + 1] #align nat.digits_aux_0 Nat.digitsAux0 def digitsAux1 (n : ℕ) : List ℕ := List.replicate n 1 #align nat.digits_aux_1 Nat.digitsAux1 def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ | 0 => [] | n + 1 => ((n + 1) % b) :: digitsAux b h ((n + 1) / b) decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h #align nat.digits_aux Nat.digitsAux @[simp] theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux] #align nat.digits_aux_zero Nat.digitsAux_zero theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) : digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by cases n · cases w · rw [digitsAux] #align nat.digits_aux_def Nat.digitsAux_def def digits : ℕ → ℕ → List ℕ | 0 => digitsAux0 | 1 => digitsAux1 | b + 2 => digitsAux (b + 2) (by norm_num) #align nat.digits Nat.digits @[simp] theorem digits_zero (b : ℕ) : digits b 0 = [] := by rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1] #align nat.digits_zero Nat.digits_zero -- @[simp] -- Porting note (#10618): simp can prove this theorem digits_zero_zero : digits 0 0 = [] := rfl #align nat.digits_zero_zero Nat.digits_zero_zero @[simp] theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] := rfl #align nat.digits_zero_succ Nat.digits_zero_succ theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n] | 0, h => (h rfl).elim | _ + 1, _ => rfl #align nat.digits_zero_succ' Nat.digits_zero_succ' @[simp] theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 := rfl #align nat.digits_one Nat.digits_one -- @[simp] -- Porting note (#10685): dsimp can prove this theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n := rfl #align nat.digits_one_succ Nat.digits_one_succ theorem digits_add_two_add_one (b n : ℕ) : digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by simp [digits, digitsAux_def] #align nat.digits_add_two_add_one Nat.digits_add_two_add_one @[simp] lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) : Nat.digits b n = n % b :: Nat.digits b (n / b) := by rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one] theorem digits_def' : ∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b) | 0, h => absurd h (by decide) | 1, h => absurd h (by decide) | b + 2, _ => digitsAux_def _ (by simp) _ #align nat.digits_def' Nat.digits_def' @[simp] theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩ rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩ rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb] #align nat.digits_of_lt Nat.digits_of_lt theorem digits_add (b : ℕ) (h : 1 < b) (x y : ℕ) (hxb : x < b) (hxy : x ≠ 0 ∨ y ≠ 0) : digits b (x + b * y) = x :: digits b y := by rcases Nat.exists_eq_add_of_le' h with ⟨b, rfl : _ = _ + 2⟩ cases y · simp [hxb, hxy.resolve_right (absurd rfl)] dsimp [digits] rw [digitsAux_def] · congr · simp [Nat.add_mod, mod_eq_of_lt hxb] · simp [add_mul_div_left, div_eq_of_lt hxb] · apply Nat.succ_pos #align nat.digits_add Nat.digits_add -- If we had a function converting a list into a polynomial, -- and appropriate lemmas about that function, -- we could rewrite this in terms of that. def ofDigits {α : Type*} [Semiring α] (b : α) : List ℕ → α | [] => 0 | h :: t => h + b * ofDigits b t #align nat.of_digits Nat.ofDigits theorem ofDigits_eq_foldr {α : Type*} [Semiring α] (b : α) (L : List ℕ) : ofDigits b L = List.foldr (fun x y => ↑x + b * y) 0 L := by induction' L with d L ih · rfl · dsimp [ofDigits] rw [ih] #align nat.of_digits_eq_foldr Nat.ofDigits_eq_foldr theorem ofDigits_eq_sum_map_with_index_aux (b : ℕ) (l : List ℕ) : ((List.range l.length).zipWith ((fun i a : ℕ => a * b ^ (i + 1))) l).sum = b * ((List.range l.length).zipWith (fun i a => a * b ^ i) l).sum := by suffices (List.range l.length).zipWith (fun i a : ℕ => a * b ^ (i + 1)) l = (List.range l.length).zipWith (fun i a => b * (a * b ^ i)) l by simp [this] congr; ext; simp [pow_succ]; ring #align nat.of_digits_eq_sum_map_with_index_aux Nat.ofDigits_eq_sum_map_with_index_aux theorem ofDigits_eq_sum_mapIdx (b : ℕ) (L : List ℕ) : ofDigits b L = (L.mapIdx fun i a => a * b ^ i).sum := by rw [List.mapIdx_eq_enum_map, List.enum_eq_zip_range, List.map_uncurry_zip_eq_zipWith, ofDigits_eq_foldr] induction' L with hd tl hl · simp · simpa [List.range_succ_eq_map, List.zipWith_map_left, ofDigits_eq_sum_map_with_index_aux] using Or.inl hl #align nat.of_digits_eq_sum_map_with_index Nat.ofDigits_eq_sum_mapIdx @[simp] theorem ofDigits_nil {b : ℕ} : ofDigits b [] = 0 := rfl @[simp] theorem ofDigits_singleton {b n : ℕ} : ofDigits b [n] = n := by simp [ofDigits] #align nat.of_digits_singleton Nat.ofDigits_singleton @[simp] theorem ofDigits_one_cons {α : Type*} [Semiring α] (h : ℕ) (L : List ℕ) : ofDigits (1 : α) (h :: L) = h + ofDigits 1 L := by simp [ofDigits] #align nat.of_digits_one_cons Nat.ofDigits_one_cons theorem ofDigits_cons {b hd} {tl : List ℕ} : ofDigits b (hd :: tl) = hd + b * ofDigits b tl := rfl theorem ofDigits_append {b : ℕ} {l1 l2 : List ℕ} : ofDigits b (l1 ++ l2) = ofDigits b l1 + b ^ l1.length * ofDigits b l2 := by induction' l1 with hd tl IH · simp [ofDigits] · rw [ofDigits, List.cons_append, ofDigits, IH, List.length_cons, pow_succ'] ring #align nat.of_digits_append Nat.ofDigits_append @[norm_cast] theorem coe_ofDigits (α : Type*) [Semiring α] (b : ℕ) (L : List ℕ) : ((ofDigits b L : ℕ) : α) = ofDigits (b : α) L := by induction' L with d L ih · simp [ofDigits] · dsimp [ofDigits]; push_cast; rw [ih] #align nat.coe_of_digits Nat.coe_ofDigits @[norm_cast] theorem coe_int_ofDigits (b : ℕ) (L : List ℕ) : ((ofDigits b L : ℕ) : ℤ) = ofDigits (b : ℤ) L := by induction' L with d L _ · rfl · dsimp [ofDigits]; push_cast; simp only #align nat.coe_int_of_digits Nat.coe_int_ofDigits theorem digits_zero_of_eq_zero {b : ℕ} (h : b ≠ 0) : ∀ {L : List ℕ} (_ : ofDigits b L = 0), ∀ l ∈ L, l = 0 | _ :: _, h0, _, List.Mem.head .. => Nat.eq_zero_of_add_eq_zero_right h0 | _ :: _, h0, _, List.Mem.tail _ hL => digits_zero_of_eq_zero h (mul_right_injective₀ h (Nat.eq_zero_of_add_eq_zero_left h0)) _ hL #align nat.digits_zero_of_eq_zero Nat.digits_zero_of_eq_zero theorem digits_ofDigits (b : ℕ) (h : 1 < b) (L : List ℕ) (w₁ : ∀ l ∈ L, l < b) (w₂ : ∀ h : L ≠ [], L.getLast h ≠ 0) : digits b (ofDigits b L) = L := by induction' L with d L ih · dsimp [ofDigits] simp · dsimp [ofDigits] replace w₂ := w₂ (by simp) rw [digits_add b h] · rw [ih] · intro l m apply w₁ exact List.mem_cons_of_mem _ m · intro h rw [List.getLast_cons h] at w₂ convert w₂ · exact w₁ d (List.mem_cons_self _ _) · by_cases h' : L = [] · rcases h' with rfl left simpa using w₂ · right contrapose! w₂ refine digits_zero_of_eq_zero h.ne_bot w₂ _ ?_ rw [List.getLast_cons h'] exact List.getLast_mem h' #align nat.digits_of_digits Nat.digits_ofDigits theorem ofDigits_digits (b n : ℕ) : ofDigits b (digits b n) = n := by cases' b with b · cases' n with n · rfl · change ofDigits 0 [n + 1] = n + 1 dsimp [ofDigits] · cases' b with b · induction' n with n ih · rfl · rw [Nat.zero_add] at ih ⊢ simp only [ih, add_comm 1, ofDigits_one_cons, Nat.cast_id, digits_one_succ] · apply Nat.strongInductionOn n _ clear n intro n h cases n · rw [digits_zero] rfl · simp only [Nat.succ_eq_add_one, digits_add_two_add_one] dsimp [ofDigits] rw [h _ (Nat.div_lt_self' _ b)] rw [Nat.mod_add_div] #align nat.of_digits_digits Nat.ofDigits_digits theorem ofDigits_one (L : List ℕ) : ofDigits 1 L = L.sum := by induction' L with _ _ ih · rfl · simp [ofDigits, List.sum_cons, ih] #align nat.of_digits_one Nat.ofDigits_one theorem digits_eq_nil_iff_eq_zero {b n : ℕ} : digits b n = [] ↔ n = 0 := by constructor · intro h have : ofDigits b (digits b n) = ofDigits b [] := by rw [h] convert this rw [ofDigits_digits] · rintro rfl simp #align nat.digits_eq_nil_iff_eq_zero Nat.digits_eq_nil_iff_eq_zero theorem digits_ne_nil_iff_ne_zero {b n : ℕ} : digits b n ≠ [] ↔ n ≠ 0 := not_congr digits_eq_nil_iff_eq_zero #align nat.digits_ne_nil_iff_ne_zero Nat.digits_ne_nil_iff_ne_zero theorem digits_eq_cons_digits_div {b n : ℕ} (h : 1 < b) (w : n ≠ 0) : digits b n = (n % b) :: digits b (n / b) := by rcases b with (_ | _ | b) · rw [digits_zero_succ' w, Nat.mod_zero, Nat.div_zero, Nat.digits_zero_zero] · norm_num at h rcases n with (_ | n) · norm_num at w · simp only [digits_add_two_add_one, ne_eq] #align nat.digits_eq_cons_digits_div Nat.digits_eq_cons_digits_div theorem digits_getLast {b : ℕ} (m : ℕ) (h : 1 < b) (p q) : (digits b m).getLast p = (digits b (m / b)).getLast q := by by_cases hm : m = 0 · simp [hm] simp only [digits_eq_cons_digits_div h hm] rw [List.getLast_cons] #align nat.digits_last Nat.digits_getLast theorem digits.injective (b : ℕ) : Function.Injective b.digits := Function.LeftInverse.injective (ofDigits_digits b) #align nat.digits.injective Nat.digits.injective @[simp] theorem digits_inj_iff {b n m : ℕ} : b.digits n = b.digits m ↔ n = m := (digits.injective b).eq_iff #align nat.digits_inj_iff Nat.digits_inj_iff theorem digits_len (b n : ℕ) (hb : 1 < b) (hn : n ≠ 0) : (b.digits n).length = b.log n + 1 := by induction' n using Nat.strong_induction_on with n IH rw [digits_eq_cons_digits_div hb hn, List.length] by_cases h : n / b = 0 · have hb0 : b ≠ 0 := (Nat.succ_le_iff.1 hb).ne_bot simp [h, log_eq_zero_iff, ← Nat.div_eq_zero_iff hb0.bot_lt] · have : n / b < n := div_lt_self (Nat.pos_of_ne_zero hn) hb rw [IH _ this h, log_div_base, tsub_add_cancel_of_le] refine Nat.succ_le_of_lt (log_pos hb ?_) contrapose! h exact div_eq_of_lt h #align nat.digits_len Nat.digits_len
Mathlib/Data/Nat/Digits.lean
357
376
theorem getLast_digit_ne_zero (b : ℕ) {m : ℕ} (hm : m ≠ 0) : (digits b m).getLast (digits_ne_nil_iff_ne_zero.mpr hm) ≠ 0 := by
rcases b with (_ | _ | b) · cases m · cases hm rfl · simp · cases m · cases hm rfl rename ℕ => m simp only [zero_add, digits_one, List.getLast_replicate_succ m 1] exact Nat.one_ne_zero revert hm apply Nat.strongInductionOn m intro n IH hn by_cases hnb : n < b + 2 · simpa only [digits_of_lt (b + 2) n hn hnb] · rw [digits_getLast n (le_add_left 2 b)] refine IH _ (Nat.div_lt_self hn.bot_lt (one_lt_succ_succ b)) ?_ rw [← pos_iff_ne_zero] exact Nat.div_pos (le_of_not_lt hnb) (zero_lt_succ (succ b))
import Mathlib.Order.Interval.Finset.Nat #align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" assert_not_exists MonoidWithZero open Finset Fin Function namespace Fin variable (n : ℕ) instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) := OrderIso.locallyFiniteOrder Fin.orderIsoSubtype instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) := OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n) | 0 => IsEmpty.toLocallyFiniteOrderTop | _ + 1 => inferInstance variable {n} (a b : Fin n) theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n := rfl #align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n := rfl #align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n := rfl #align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n := rfl #align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl #align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype @[simp] theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc @[simp] theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico @[simp] theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc @[simp] theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo @[simp] theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b := map_valEmbedding_Icc _ _ #align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := by rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map] #align fin.card_Icc Fin.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := by rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map] #align fin.card_Ico Fin.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := by rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map] #align fin.card_Ioc Fin.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := by rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map] #align fin.card_Ioo Fin.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map] #align fin.card_uIcc Fin.card_uIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [← card_Icc, Fintype.card_ofFinset] #align fin.card_fintype_Icc Fin.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp]
Mathlib/Order/Interval/Finset/Fin.lean
136
137
theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by
rw [← card_Ico, Fintype.card_ofFinset]
import Mathlib.Algebra.Group.Commute.Basic import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Perm.Basic #align_import group_theory.perm.support from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Equiv Finset namespace Equiv.Perm variable {α : Type*} section Disjoint def Disjoint (f g : Perm α) := ∀ x, f x = x ∨ g x = x #align equiv.perm.disjoint Equiv.Perm.Disjoint variable {f g h : Perm α} @[symm] theorem Disjoint.symm : Disjoint f g → Disjoint g f := by simp only [Disjoint, or_comm, imp_self] #align equiv.perm.disjoint.symm Equiv.Perm.Disjoint.symm theorem Disjoint.symmetric : Symmetric (@Disjoint α) := fun _ _ => Disjoint.symm #align equiv.perm.disjoint.symmetric Equiv.Perm.Disjoint.symmetric instance : IsSymm (Perm α) Disjoint := ⟨Disjoint.symmetric⟩ theorem disjoint_comm : Disjoint f g ↔ Disjoint g f := ⟨Disjoint.symm, Disjoint.symm⟩ #align equiv.perm.disjoint_comm Equiv.Perm.disjoint_comm theorem Disjoint.commute (h : Disjoint f g) : Commute f g := Equiv.ext fun x => (h x).elim (fun hf => (h (g x)).elim (fun hg => by simp [mul_apply, hf, hg]) fun hg => by simp [mul_apply, hf, g.injective hg]) fun hg => (h (f x)).elim (fun hf => by simp [mul_apply, f.injective hf, hg]) fun hf => by simp [mul_apply, hf, hg] #align equiv.perm.disjoint.commute Equiv.Perm.Disjoint.commute @[simp] theorem disjoint_one_left (f : Perm α) : Disjoint 1 f := fun _ => Or.inl rfl #align equiv.perm.disjoint_one_left Equiv.Perm.disjoint_one_left @[simp] theorem disjoint_one_right (f : Perm α) : Disjoint f 1 := fun _ => Or.inr rfl #align equiv.perm.disjoint_one_right Equiv.Perm.disjoint_one_right theorem disjoint_iff_eq_or_eq : Disjoint f g ↔ ∀ x : α, f x = x ∨ g x = x := Iff.rfl #align equiv.perm.disjoint_iff_eq_or_eq Equiv.Perm.disjoint_iff_eq_or_eq @[simp] theorem disjoint_refl_iff : Disjoint f f ↔ f = 1 := by refine ⟨fun h => ?_, fun h => h.symm ▸ disjoint_one_left 1⟩ ext x cases' h x with hx hx <;> simp [hx] #align equiv.perm.disjoint_refl_iff Equiv.Perm.disjoint_refl_iff theorem Disjoint.inv_left (h : Disjoint f g) : Disjoint f⁻¹ g := by intro x rw [inv_eq_iff_eq, eq_comm] exact h x #align equiv.perm.disjoint.inv_left Equiv.Perm.Disjoint.inv_left theorem Disjoint.inv_right (h : Disjoint f g) : Disjoint f g⁻¹ := h.symm.inv_left.symm #align equiv.perm.disjoint.inv_right Equiv.Perm.Disjoint.inv_right @[simp]
Mathlib/GroupTheory/Perm/Support.lean
104
106
theorem disjoint_inv_left_iff : Disjoint f⁻¹ g ↔ Disjoint f g := by
refine ⟨fun h => ?_, Disjoint.inv_left⟩ convert h.inv_left
import Mathlib.Data.Set.Prod #align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654" open Function namespace Set variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ} variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ} {d d' : δ} theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t := ⟨by rintro ⟨a', ha', b', hb', h⟩ rcases hf h with ⟨rfl, rfl⟩ exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩ #align set.mem_image2_iff Set.mem_image2_iff theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by rintro _ ⟨a, ha, b, hb, rfl⟩ exact mem_image2_of_mem (hs ha) (ht hb) #align set.image2_subset Set.image2_subset theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' := image2_subset Subset.rfl ht #align set.image2_subset_left Set.image2_subset_left theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t := image2_subset hs Subset.rfl #align set.image2_subset_right Set.image2_subset_right theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t := forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb #align set.image_subset_image2_left Set.image_subset_image2_left theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t := forall_mem_image.2 fun _ => mem_image2_of_mem ha #align set.image_subset_image2_right Set.image_subset_image2_right theorem forall_image2_iff {p : γ → Prop} : (∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := ⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩ #align set.forall_image2_iff Set.forall_image2_iff @[simp] theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u := forall_image2_iff #align set.image2_subset_iff Set.image2_subset_iff theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage] #align set.image2_subset_iff_left Set.image2_subset_iff_left theorem image2_subset_iff_right : image2 f s t ⊆ u ↔ ∀ b ∈ t, (fun a => f a b) '' s ⊆ u := by simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage, @forall₂_swap α] #align set.image2_subset_iff_right Set.image2_subset_iff_right variable (f) -- Porting note: Removing `simp` - LHS does not simplify lemma image_prod : (fun x : α × β ↦ f x.1 x.2) '' s ×ˢ t = image2 f s t := ext fun _ ↦ by simp [and_assoc] #align set.image_prod Set.image_prod @[simp] lemma image_uncurry_prod (s : Set α) (t : Set β) : uncurry f '' s ×ˢ t = image2 f s t := image_prod _ #align set.image_uncurry_prod Set.image_uncurry_prod @[simp] lemma image2_mk_eq_prod : image2 Prod.mk s t = s ×ˢ t := ext <| by simp #align set.image2_mk_eq_prod Set.image2_mk_eq_prod -- Porting note: Removing `simp` - LHS does not simplify lemma image2_curry (f : α × β → γ) (s : Set α) (t : Set β) : image2 (fun a b ↦ f (a, b)) s t = f '' s ×ˢ t := by simp [← image_uncurry_prod, uncurry] #align set.image2_curry Set.image2_curry theorem image2_swap (s : Set α) (t : Set β) : image2 f s t = image2 (fun a b => f b a) t s := by ext constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨b, hb, a, ha, rfl⟩ #align set.image2_swap Set.image2_swap variable {f} theorem image2_union_left : image2 f (s ∪ s') t = image2 f s t ∪ image2 f s' t := by simp_rw [← image_prod, union_prod, image_union] #align set.image2_union_left Set.image2_union_left theorem image2_union_right : image2 f s (t ∪ t') = image2 f s t ∪ image2 f s t' := by rw [← image2_swap, image2_union_left, image2_swap f, image2_swap f] #align set.image2_union_right Set.image2_union_right lemma image2_inter_left (hf : Injective2 f) : image2 f (s ∩ s') t = image2 f s t ∩ image2 f s' t := by simp_rw [← image_uncurry_prod, inter_prod, image_inter hf.uncurry] #align set.image2_inter_left Set.image2_inter_left lemma image2_inter_right (hf : Injective2 f) : image2 f s (t ∩ t') = image2 f s t ∩ image2 f s t' := by simp_rw [← image_uncurry_prod, prod_inter, image_inter hf.uncurry] #align set.image2_inter_right Set.image2_inter_right @[simp] theorem image2_empty_left : image2 f ∅ t = ∅ := ext <| by simp #align set.image2_empty_left Set.image2_empty_left @[simp] theorem image2_empty_right : image2 f s ∅ = ∅ := ext <| by simp #align set.image2_empty_right Set.image2_empty_right theorem Nonempty.image2 : s.Nonempty → t.Nonempty → (image2 f s t).Nonempty := fun ⟨_, ha⟩ ⟨_, hb⟩ => ⟨_, mem_image2_of_mem ha hb⟩ #align set.nonempty.image2 Set.Nonempty.image2 @[simp] theorem image2_nonempty_iff : (image2 f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := ⟨fun ⟨_, a, ha, b, hb, _⟩ => ⟨⟨a, ha⟩, b, hb⟩, fun h => h.1.image2 h.2⟩ #align set.image2_nonempty_iff Set.image2_nonempty_iff theorem Nonempty.of_image2_left (h : (Set.image2 f s t).Nonempty) : s.Nonempty := (image2_nonempty_iff.1 h).1 #align set.nonempty.of_image2_left Set.Nonempty.of_image2_left theorem Nonempty.of_image2_right (h : (Set.image2 f s t).Nonempty) : t.Nonempty := (image2_nonempty_iff.1 h).2 #align set.nonempty.of_image2_right Set.Nonempty.of_image2_right @[simp] theorem image2_eq_empty_iff : image2 f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by rw [← not_nonempty_iff_eq_empty, image2_nonempty_iff, not_and_or] simp [not_nonempty_iff_eq_empty] #align set.image2_eq_empty_iff Set.image2_eq_empty_iff theorem Subsingleton.image2 (hs : s.Subsingleton) (ht : t.Subsingleton) (f : α → β → γ) : (image2 f s t).Subsingleton := by rw [← image_prod] apply (hs.prod ht).image theorem image2_inter_subset_left : image2 f (s ∩ s') t ⊆ image2 f s t ∩ image2 f s' t := Monotone.map_inf_le (fun _ _ ↦ image2_subset_right) s s' #align set.image2_inter_subset_left Set.image2_inter_subset_left theorem image2_inter_subset_right : image2 f s (t ∩ t') ⊆ image2 f s t ∩ image2 f s t' := Monotone.map_inf_le (fun _ _ ↦ image2_subset_left) t t' #align set.image2_inter_subset_right Set.image2_inter_subset_right @[simp] theorem image2_singleton_left : image2 f {a} t = f a '' t := ext fun x => by simp #align set.image2_singleton_left Set.image2_singleton_left @[simp] theorem image2_singleton_right : image2 f s {b} = (fun a => f a b) '' s := ext fun x => by simp #align set.image2_singleton_right Set.image2_singleton_right theorem image2_singleton : image2 f {a} {b} = {f a b} := by simp #align set.image2_singleton Set.image2_singleton @[simp] theorem image2_insert_left : image2 f (insert a s) t = (fun b => f a b) '' t ∪ image2 f s t := by rw [insert_eq, image2_union_left, image2_singleton_left] #align set.image2_insert_left Set.image2_insert_left @[simp] theorem image2_insert_right : image2 f s (insert b t) = (fun a => f a b) '' s ∪ image2 f s t := by rw [insert_eq, image2_union_right, image2_singleton_right] #align set.image2_insert_right Set.image2_insert_right @[congr] theorem image2_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image2 f s t = image2 f' s t := by ext constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨a, ha, b, hb, by rw [h a ha b hb]⟩ #align set.image2_congr Set.image2_congr theorem image2_congr' (h : ∀ a b, f a b = f' a b) : image2 f s t = image2 f' s t := image2_congr fun a _ b _ => h a b #align set.image2_congr' Set.image2_congr' #noalign set.image3 #noalign set.mem_image3 #noalign set.image3_mono #noalign set.image3_congr #noalign set.image3_congr' #noalign set.image2_image2_left #noalign set.image2_image2_right theorem image_image2 (f : α → β → γ) (g : γ → δ) : g '' image2 f s t = image2 (fun a b => g (f a b)) s t := by simp only [← image_prod, image_image] #align set.image_image2 Set.image_image2 theorem image2_image_left (f : γ → β → δ) (g : α → γ) : image2 f (g '' s) t = image2 (fun a b => f (g a) b) s t := by ext; simp #align set.image2_image_left Set.image2_image_left theorem image2_image_right (f : α → γ → δ) (g : β → γ) : image2 f s (g '' t) = image2 (fun a b => f a (g b)) s t := by ext; simp #align set.image2_image_right Set.image2_image_right @[simp] theorem image2_left (h : t.Nonempty) : image2 (fun x _ => x) s t = s := by simp [nonempty_def.mp h, ext_iff] #align set.image2_left Set.image2_left @[simp] theorem image2_right (h : s.Nonempty) : image2 (fun _ y => y) s t = t := by simp [nonempty_def.mp h, ext_iff] #align set.image2_right Set.image2_right lemma image2_range (f : α' → β' → γ) (g : α → α') (h : β → β') : image2 f (range g) (range h) = range fun x : α × β ↦ f (g x.1) (h x.2) := by simp_rw [← image_univ, image2_image_left, image2_image_right, ← image_prod, univ_prod_univ] theorem image2_assoc {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε} {g' : β → γ → ε'} (h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) : image2 f (image2 g s t) u = image2 f' s (image2 g' t u) := eq_of_forall_subset_iff fun _ ↦ by simp only [image2_subset_iff, forall_image2_iff, h_assoc] #align set.image2_assoc Set.image2_assoc theorem image2_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image2 f s t = image2 g t s := (image2_swap _ _ _).trans <| by simp_rw [h_comm] #align set.image2_comm Set.image2_comm theorem image2_left_comm {f : α → δ → ε} {g : β → γ → δ} {f' : α → γ → δ'} {g' : β → δ' → ε} (h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) : image2 f s (image2 g t u) = image2 g' t (image2 f' s u) := by rw [image2_swap f', image2_swap f] exact image2_assoc fun _ _ _ => h_left_comm _ _ _ #align set.image2_left_comm Set.image2_left_comm theorem image2_right_comm {f : δ → γ → ε} {g : α → β → δ} {f' : α → γ → δ'} {g' : δ' → β → ε} (h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) : image2 f (image2 g s t) u = image2 g' (image2 f' s u) t := by rw [image2_swap g, image2_swap g'] exact image2_assoc fun _ _ _ => h_right_comm _ _ _ #align set.image2_right_comm Set.image2_right_comm theorem image2_image2_image2_comm {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ} {f' : ε' → ζ' → ν} {g' : α → γ → ε'} {h' : β → δ → ζ'} (h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) : image2 f (image2 g s t) (image2 h u v) = image2 f' (image2 g' s u) (image2 h' t v) := by ext; constructor · rintro ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, rfl⟩ exact ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, (h_comm _ _ _ _).symm⟩ · rintro ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, rfl⟩ exact ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, h_comm _ _ _ _⟩ #align set.image2_image2_image2_comm Set.image2_image2_image2_comm theorem image_image2_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'} (h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) : (image2 f s t).image g = image2 f' (s.image g₁) (t.image g₂) := by simp_rw [image_image2, image2_image_left, image2_image_right, h_distrib] #align set.image_image2_distrib Set.image_image2_distrib theorem image_image2_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'} (h_distrib : ∀ a b, g (f a b) = f' (g' a) b) : (image2 f s t).image g = image2 f' (s.image g') t := (image_image2_distrib h_distrib).trans <| by rw [image_id'] #align set.image_image2_distrib_left Set.image_image2_distrib_left theorem image_image2_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'} (h_distrib : ∀ a b, g (f a b) = f' a (g' b)) : (image2 f s t).image g = image2 f' s (t.image g') := (image_image2_distrib h_distrib).trans <| by rw [image_id'] #align set.image_image2_distrib_right Set.image_image2_distrib_right theorem image2_image_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ} (h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) : image2 f (s.image g) t = (image2 f' s t).image g' := (image_image2_distrib_left fun a b => (h_left_comm a b).symm).symm #align set.image2_image_left_comm Set.image2_image_left_comm theorem image_image2_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ} (h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) : image2 f s (t.image g) = (image2 f' s t).image g' := (image_image2_distrib_right fun a b => (h_right_comm a b).symm).symm #align set.image_image2_right_comm Set.image_image2_right_comm
Mathlib/Data/Set/NAry.lean
308
313
theorem image2_distrib_subset_left {f : α → δ → ε} {g : β → γ → δ} {f₁ : α → β → β'} {f₂ : α → γ → γ'} {g' : β' → γ' → ε} (h_distrib : ∀ a b c, f a (g b c) = g' (f₁ a b) (f₂ a c)) : image2 f s (image2 g t u) ⊆ image2 g' (image2 f₁ s t) (image2 f₂ s u) := by
rintro _ ⟨a, ha, _, ⟨b, hb, c, hc, rfl⟩, rfl⟩ rw [h_distrib] exact mem_image2_of_mem (mem_image2_of_mem ha hb) (mem_image2_of_mem ha hc)
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section iInf variable {ι : Sort*} {f g : ι → ℝ≥0∞} variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toNNReal_iInf (hf : ∀ i, f i ≠ ∞) : (iInf f).toNNReal = ⨅ i, (f i).toNNReal := by cases isEmpty_or_nonempty ι · rw [iInf_of_empty, top_toNNReal, NNReal.iInf_empty] · lift f to ι → ℝ≥0 using hf simp_rw [← coe_iInf, toNNReal_coe] #align ennreal.to_nnreal_infi ENNReal.toNNReal_iInf theorem toNNReal_sInf (s : Set ℝ≥0∞) (hs : ∀ r ∈ s, r ≠ ∞) : (sInf s).toNNReal = sInf (ENNReal.toNNReal '' s) := by have hf : ∀ i, ((↑) : s → ℝ≥0∞) i ≠ ∞ := fun ⟨r, rs⟩ => hs r rs -- Porting note: `← sInf_image'` had to be replaced by `← image_eq_range` as the lemmas are used -- in a different order. simpa only [← sInf_range, ← image_eq_range, Subtype.range_coe_subtype] using (toNNReal_iInf hf) #align ennreal.to_nnreal_Inf ENNReal.toNNReal_sInf theorem toNNReal_iSup (hf : ∀ i, f i ≠ ∞) : (iSup f).toNNReal = ⨆ i, (f i).toNNReal := by lift f to ι → ℝ≥0 using hf simp_rw [toNNReal_coe] by_cases h : BddAbove (range f) · rw [← coe_iSup h, toNNReal_coe] · rw [NNReal.iSup_of_not_bddAbove h, iSup_coe_eq_top.2 h, top_toNNReal] #align ennreal.to_nnreal_supr ENNReal.toNNReal_iSup theorem toNNReal_sSup (s : Set ℝ≥0∞) (hs : ∀ r ∈ s, r ≠ ∞) : (sSup s).toNNReal = sSup (ENNReal.toNNReal '' s) := by have hf : ∀ i, ((↑) : s → ℝ≥0∞) i ≠ ∞ := fun ⟨r, rs⟩ => hs r rs -- Porting note: `← sSup_image'` had to be replaced by `← image_eq_range` as the lemmas are used -- in a different order. simpa only [← sSup_range, ← image_eq_range, Subtype.range_coe_subtype] using (toNNReal_iSup hf) #align ennreal.to_nnreal_Sup ENNReal.toNNReal_sSup theorem toReal_iInf (hf : ∀ i, f i ≠ ∞) : (iInf f).toReal = ⨅ i, (f i).toReal := by simp only [ENNReal.toReal, toNNReal_iInf hf, NNReal.coe_iInf] #align ennreal.to_real_infi ENNReal.toReal_iInf
Mathlib/Data/ENNReal/Real.lean
576
578
theorem toReal_sInf (s : Set ℝ≥0∞) (hf : ∀ r ∈ s, r ≠ ∞) : (sInf s).toReal = sInf (ENNReal.toReal '' s) := by
simp only [ENNReal.toReal, toNNReal_sInf s hf, NNReal.coe_sInf, Set.image_image]
import Mathlib.Data.Finset.Card #align_import data.finset.prod from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" assert_not_exists MonoidWithZero open Multiset variable {α β γ : Type*} namespace Finset section Prod variable {s s' : Finset α} {t t' : Finset β} {a : α} {b : β} protected def product (s : Finset α) (t : Finset β) : Finset (α × β) := ⟨_, s.nodup.product t.nodup⟩ #align finset.product Finset.product instance instSProd : SProd (Finset α) (Finset β) (Finset (α × β)) where sprod := Finset.product @[simp] theorem product_val : (s ×ˢ t).1 = s.1 ×ˢ t.1 := rfl #align finset.product_val Finset.product_val @[simp] theorem mem_product {p : α × β} : p ∈ s ×ˢ t ↔ p.1 ∈ s ∧ p.2 ∈ t := Multiset.mem_product #align finset.mem_product Finset.mem_product theorem mk_mem_product (ha : a ∈ s) (hb : b ∈ t) : (a, b) ∈ s ×ˢ t := mem_product.2 ⟨ha, hb⟩ #align finset.mk_mem_product Finset.mk_mem_product @[simp, norm_cast] theorem coe_product (s : Finset α) (t : Finset β) : (↑(s ×ˢ t) : Set (α × β)) = (s : Set α) ×ˢ t := Set.ext fun _ => Finset.mem_product #align finset.coe_product Finset.coe_product theorem subset_product_image_fst [DecidableEq α] : (s ×ˢ t).image Prod.fst ⊆ s := fun i => by simp (config := { contextual := true }) [mem_image] #align finset.subset_product_image_fst Finset.subset_product_image_fst theorem subset_product_image_snd [DecidableEq β] : (s ×ˢ t).image Prod.snd ⊆ t := fun i => by simp (config := { contextual := true }) [mem_image] #align finset.subset_product_image_snd Finset.subset_product_image_snd theorem product_image_fst [DecidableEq α] (ht : t.Nonempty) : (s ×ˢ t).image Prod.fst = s := by ext i simp [mem_image, ht.exists_mem] #align finset.product_image_fst Finset.product_image_fst theorem product_image_snd [DecidableEq β] (ht : s.Nonempty) : (s ×ˢ t).image Prod.snd = t := by ext i simp [mem_image, ht.exists_mem] #align finset.product_image_snd Finset.product_image_snd theorem subset_product [DecidableEq α] [DecidableEq β] {s : Finset (α × β)} : s ⊆ s.image Prod.fst ×ˢ s.image Prod.snd := fun _ hp => mem_product.2 ⟨mem_image_of_mem _ hp, mem_image_of_mem _ hp⟩ #align finset.subset_product Finset.subset_product @[gcongr] theorem product_subset_product (hs : s ⊆ s') (ht : t ⊆ t') : s ×ˢ t ⊆ s' ×ˢ t' := fun ⟨_, _⟩ h => mem_product.2 ⟨hs (mem_product.1 h).1, ht (mem_product.1 h).2⟩ #align finset.product_subset_product Finset.product_subset_product @[gcongr] theorem product_subset_product_left (hs : s ⊆ s') : s ×ˢ t ⊆ s' ×ˢ t := product_subset_product hs (Subset.refl _) #align finset.product_subset_product_left Finset.product_subset_product_left @[gcongr] theorem product_subset_product_right (ht : t ⊆ t') : s ×ˢ t ⊆ s ×ˢ t' := product_subset_product (Subset.refl _) ht #align finset.product_subset_product_right Finset.product_subset_product_right theorem map_swap_product (s : Finset α) (t : Finset β) : (t ×ˢ s).map ⟨Prod.swap, Prod.swap_injective⟩ = s ×ˢ t := coe_injective <| by push_cast exact Set.image_swap_prod _ _ #align finset.map_swap_product Finset.map_swap_product @[simp] theorem image_swap_product [DecidableEq (α × β)] (s : Finset α) (t : Finset β) : (t ×ˢ s).image Prod.swap = s ×ˢ t := coe_injective <| by push_cast exact Set.image_swap_prod _ _ #align finset.image_swap_product Finset.image_swap_product theorem product_eq_biUnion [DecidableEq (α × β)] (s : Finset α) (t : Finset β) : s ×ˢ t = s.biUnion fun a => t.image fun b => (a, b) := ext fun ⟨x, y⟩ => by simp only [mem_product, mem_biUnion, mem_image, exists_prop, Prod.mk.inj_iff, and_left_comm, exists_and_left, exists_eq_right, exists_eq_left] #align finset.product_eq_bUnion Finset.product_eq_biUnion theorem product_eq_biUnion_right [DecidableEq (α × β)] (s : Finset α) (t : Finset β) : s ×ˢ t = t.biUnion fun b => s.image fun a => (a, b) := ext fun ⟨x, y⟩ => by simp only [mem_product, mem_biUnion, mem_image, exists_prop, Prod.mk.inj_iff, and_left_comm, exists_and_left, exists_eq_right, exists_eq_left] #align finset.product_eq_bUnion_right Finset.product_eq_biUnion_right @[simp] theorem product_biUnion [DecidableEq γ] (s : Finset α) (t : Finset β) (f : α × β → Finset γ) : (s ×ˢ t).biUnion f = s.biUnion fun a => t.biUnion fun b => f (a, b) := by classical simp_rw [product_eq_biUnion, biUnion_biUnion, image_biUnion] #align finset.product_bUnion Finset.product_biUnion @[simp] theorem card_product (s : Finset α) (t : Finset β) : card (s ×ˢ t) = card s * card t := Multiset.card_product _ _ #align finset.card_product Finset.card_product lemma nontrivial_prod_iff : (s ×ˢ t).Nontrivial ↔ s.Nonempty ∧ t.Nonempty ∧ (s.Nontrivial ∨ t.Nontrivial) := by simp_rw [← card_pos, ← one_lt_card_iff_nontrivial, card_product]; apply Nat.one_lt_mul_iff theorem filter_product (p : α → Prop) (q : β → Prop) [DecidablePred p] [DecidablePred q] : ((s ×ˢ t).filter fun x : α × β => p x.1 ∧ q x.2) = s.filter p ×ˢ t.filter q := by ext ⟨a, b⟩ simp [mem_filter, mem_product, decide_eq_true_eq, and_comm, and_left_comm, and_assoc] #align finset.filter_product Finset.filter_product theorem filter_product_left (p : α → Prop) [DecidablePred p] : ((s ×ˢ t).filter fun x : α × β => p x.1) = s.filter p ×ˢ t := by simpa using filter_product p fun _ => true #align finset.filter_product_left Finset.filter_product_left theorem filter_product_right (q : β → Prop) [DecidablePred q] : ((s ×ˢ t).filter fun x : α × β => q x.2) = s ×ˢ t.filter q := by simpa using filter_product (fun _ : α => true) q #align finset.filter_product_right Finset.filter_product_right theorem filter_product_card (s : Finset α) (t : Finset β) (p : α → Prop) (q : β → Prop) [DecidablePred p] [DecidablePred q] : ((s ×ˢ t).filter fun x : α × β => (p x.1) = (q x.2)).card = (s.filter p).card * (t.filter q).card + (s.filter (¬ p ·)).card * (t.filter (¬ q ·)).card := by classical rw [← card_product, ← card_product, ← filter_product, ← filter_product, ← card_union_of_disjoint] · apply congr_arg ext ⟨a, b⟩ simp only [filter_union_right, mem_filter, mem_product] constructor <;> intro h <;> use h.1 · simp only [h.2, Function.comp_apply, Decidable.em, and_self] · revert h simp only [Function.comp_apply, and_imp] rintro _ _ (_|_) <;> simp [*] · apply Finset.disjoint_filter_filter' exact (disjoint_compl_right.inf_left _).inf_right _ #align finset.filter_product_card Finset.filter_product_card @[simp] theorem empty_product (t : Finset β) : (∅ : Finset α) ×ˢ t = ∅ := rfl #align finset.empty_product Finset.empty_product @[simp] theorem product_empty (s : Finset α) : s ×ˢ (∅ : Finset β) = ∅ := eq_empty_of_forall_not_mem fun _ h => not_mem_empty _ (Finset.mem_product.1 h).2 #align finset.product_empty Finset.product_empty theorem Nonempty.product (hs : s.Nonempty) (ht : t.Nonempty) : (s ×ˢ t).Nonempty := let ⟨x, hx⟩ := hs let ⟨y, hy⟩ := ht ⟨(x, y), mem_product.2 ⟨hx, hy⟩⟩ #align finset.nonempty.product Finset.Nonempty.product theorem Nonempty.fst (h : (s ×ˢ t).Nonempty) : s.Nonempty := let ⟨xy, hxy⟩ := h ⟨xy.1, (mem_product.1 hxy).1⟩ #align finset.nonempty.fst Finset.Nonempty.fst theorem Nonempty.snd (h : (s ×ˢ t).Nonempty) : t.Nonempty := let ⟨xy, hxy⟩ := h ⟨xy.2, (mem_product.1 hxy).2⟩ #align finset.nonempty.snd Finset.Nonempty.snd @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_product : (s ×ˢ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := ⟨fun h => ⟨h.fst, h.snd⟩, fun h => h.1.product h.2⟩ #align finset.nonempty_product Finset.nonempty_product @[simp] theorem product_eq_empty {s : Finset α} {t : Finset β} : s ×ˢ t = ∅ ↔ s = ∅ ∨ t = ∅ := by rw [← not_nonempty_iff_eq_empty, nonempty_product, not_and_or, not_nonempty_iff_eq_empty, not_nonempty_iff_eq_empty] #align finset.product_eq_empty Finset.product_eq_empty @[simp] theorem singleton_product {a : α} : ({a} : Finset α) ×ˢ t = t.map ⟨Prod.mk a, Prod.mk.inj_left _⟩ := by ext ⟨x, y⟩ simp [and_left_comm, eq_comm] #align finset.singleton_product Finset.singleton_product @[simp] theorem product_singleton {b : β} : s ×ˢ {b} = s.map ⟨fun i => (i, b), Prod.mk.inj_right _⟩ := by ext ⟨x, y⟩ simp [and_left_comm, eq_comm] #align finset.product_singleton Finset.product_singleton
Mathlib/Data/Finset/Prod.lean
238
240
theorem singleton_product_singleton {a : α} {b : β} : ({a} ×ˢ {b} : Finset _) = {(a, b)} := by
simp only [product_singleton, Function.Embedding.coeFn_mk, map_singleton]
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.Measure.Count import Mathlib.Topology.IndicatorConstPointwise import Mathlib.MeasureTheory.Constructions.BorelSpace.Real #align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" assert_not_exists NormedSpace set_option autoImplicit true noncomputable section open Set hiding restrict restrict_apply open Filter ENNReal open Function (support) open scoped Classical open Topology NNReal ENNReal MeasureTheory namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc variable {α β γ δ : Type*} section Lintegral open SimpleFunc variable {m : MeasurableSpace α} {μ ν : Measure α} irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ := ⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ #align measure_theory.lintegral MeasureTheory.lintegral @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = f.lintegral μ := by rw [MeasureTheory.lintegral] exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl) (le_iSup₂_of_le f le_rfl le_rfl) #align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral @[mono] theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by rw [lintegral, lintegral] exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩ #align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono' -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) : lintegral μ f ≤ lintegral ν g := lintegral_mono' h2 hfg theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono' (le_refl μ) hfg #align measure_theory.lintegral_mono MeasureTheory.lintegral_mono -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) : lintegral μ f ≤ lintegral μ g := lintegral_mono hfg theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a) #align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) : ⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by apply le_antisymm · exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i · rw [lintegral] refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_ exact le_of_eq (i.lintegral_eq_lintegral _).symm #align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞} (hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ := lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f) #align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞} (hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ := lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f) #align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set' theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) := lintegral_mono #align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral @[simp] theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const] rfl #align measure_theory.lintegral_const MeasureTheory.lintegral_const theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp #align measure_theory.lintegral_zero MeasureTheory.lintegral_zero theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 := lintegral_zero #align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun -- @[simp] -- Porting note (#10618): simp can prove this theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul] #align measure_theory.lintegral_one MeasureTheory.lintegral_one theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by rw [lintegral_const, Measure.restrict_apply_univ] #align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul] #align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _ in s, c ∂μ < ∞ := by rw [lintegral_const] exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ) #align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc #align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top section variable (μ) theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) : ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀ · exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩ rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩ have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by intro n simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using (hLf n).2 choose g hgm hgf hLg using this refine ⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩ · refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_ exact le_iSup (fun n => g n x) n · exact lintegral_mono fun x => iSup_le fun n => hgf n x #align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq end theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = ⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by rw [lintegral] refine le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩) by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞ · let ψ := φ.map ENNReal.toNNReal replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x) exact le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h)) · have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_) obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb) use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞}) simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const, ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast, restrict_const_lintegral] refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩ simp only [mem_preimage, mem_singleton_iff] at hx simp only [hx, le_top] #align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ φ : α →ₛ ℝ≥0, (∀ x, ↑(φ x) ≤ f x) ∧ ∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by rw [lintegral_eq_nnreal] at h have := ENNReal.lt_add_right h hε erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩] simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩ refine ⟨φ, hle, fun ψ hψ => ?_⟩ have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle) rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add] refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ norm_cast simp only [add_apply, sub_apply, add_tsub_eq_max] rfl #align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) : ⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by simp only [← iSup_apply] exact (monotone_lintegral μ).le_map_iSup #align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) : ⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by convert (monotone_lintegral μ).le_map_iSup₂ f with a simp only [iSup_apply] #align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) : ∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by simp only [← iInf_apply] exact (monotone_lintegral μ).map_iInf_le #align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) : ∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by convert (monotone_lintegral μ).map_iInf₂_le f with a simp only [iInf_apply] #align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩ have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0 rw [lintegral, lintegral] refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_ · intro a by_cases h : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true, indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem] exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg)) · refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_) by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true, not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem] exact (hnt hat).elim #align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg #align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) (hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := set_lintegral_mono_ae hf hg (ae_of_all _ hfg) #align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s) (hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := set_lintegral_mono_ae' hs (ae_of_all _ hfg) theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ := lintegral_mono' Measure.restrict_le_self le_rfl theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le) #align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by simp only [h] #align measure_theory.lintegral_congr MeasureTheory.lintegral_congr theorem set_lintegral_congr {f : α → ℝ≥0∞} {s t : Set α} (h : s =ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ := by rw [Measure.restrict_congr_set h] #align measure_theory.set_lintegral_congr MeasureTheory.set_lintegral_congr theorem set_lintegral_congr_fun {f g : α → ℝ≥0∞} {s : Set α} (hs : MeasurableSet s) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ := by rw [lintegral_congr_ae] rw [EventuallyEq] rwa [ae_restrict_iff' hs] #align measure_theory.set_lintegral_congr_fun MeasureTheory.set_lintegral_congr_fun theorem lintegral_ofReal_le_lintegral_nnnorm (f : α → ℝ) : ∫⁻ x, ENNReal.ofReal (f x) ∂μ ≤ ∫⁻ x, ‖f x‖₊ ∂μ := by simp_rw [← ofReal_norm_eq_coe_nnnorm] refine lintegral_mono fun x => ENNReal.ofReal_le_ofReal ?_ rw [Real.norm_eq_abs] exact le_abs_self (f x) #align measure_theory.lintegral_of_real_le_lintegral_nnnorm MeasureTheory.lintegral_ofReal_le_lintegral_nnnorm theorem lintegral_nnnorm_eq_of_ae_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ᵐ[μ] f) : ∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := by apply lintegral_congr_ae filter_upwards [h_nonneg] with x hx rw [Real.nnnorm_of_nonneg hx, ENNReal.ofReal_eq_coe_nnreal hx] #align measure_theory.lintegral_nnnorm_eq_of_ae_nonneg MeasureTheory.lintegral_nnnorm_eq_of_ae_nonneg theorem lintegral_nnnorm_eq_of_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ f) : ∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := lintegral_nnnorm_eq_of_ae_nonneg (Filter.eventually_of_forall h_nonneg) #align measure_theory.lintegral_nnnorm_eq_of_nonneg MeasureTheory.lintegral_nnnorm_eq_of_nonneg theorem lintegral_iSup {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : Monotone f) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by set c : ℝ≥0 → ℝ≥0∞ := (↑) set F := fun a : α => ⨆ n, f n a refine le_antisymm ?_ (iSup_lintegral_le _) rw [lintegral_eq_nnreal] refine iSup_le fun s => iSup_le fun hsf => ?_ refine ENNReal.le_of_forall_lt_one_mul_le fun a ha => ?_ rcases ENNReal.lt_iff_exists_coe.1 ha with ⟨r, rfl, _⟩ have ha : r < 1 := ENNReal.coe_lt_coe.1 ha let rs := s.map fun a => r * a have eq_rs : rs.map c = (const α r : α →ₛ ℝ≥0∞) * map c s := rfl have eq : ∀ p, rs.map c ⁻¹' {p} = ⋃ n, rs.map c ⁻¹' {p} ∩ { a | p ≤ f n a } := by intro p rw [← inter_iUnion]; nth_rw 1 [← inter_univ (map c rs ⁻¹' {p})] refine Set.ext fun x => and_congr_right fun hx => true_iff_iff.2 ?_ by_cases p_eq : p = 0 · simp [p_eq] simp only [coe_map, mem_preimage, Function.comp_apply, mem_singleton_iff] at hx subst hx have : r * s x ≠ 0 := by rwa [Ne, ← ENNReal.coe_eq_zero] have : s x ≠ 0 := right_ne_zero_of_mul this have : (rs.map c) x < ⨆ n : ℕ, f n x := by refine lt_of_lt_of_le (ENNReal.coe_lt_coe.2 ?_) (hsf x) suffices r * s x < 1 * s x by simpa exact mul_lt_mul_of_pos_right ha (pos_iff_ne_zero.2 this) rcases lt_iSup_iff.1 this with ⟨i, hi⟩ exact mem_iUnion.2 ⟨i, le_of_lt hi⟩ have mono : ∀ r : ℝ≥0∞, Monotone fun n => rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a } := by intro r i j h refine inter_subset_inter_right _ ?_ simp_rw [subset_def, mem_setOf] intro x hx exact le_trans hx (h_mono h x) have h_meas : ∀ n, MeasurableSet {a : α | map c rs a ≤ f n a} := fun n => measurableSet_le (SimpleFunc.measurable _) (hf n) calc (r : ℝ≥0∞) * (s.map c).lintegral μ = ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r}) := by rw [← const_mul_lintegral, eq_rs, SimpleFunc.lintegral] _ = ∑ r ∈ (rs.map c).range, r * μ (⋃ n, rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by simp only [(eq _).symm] _ = ∑ r ∈ (rs.map c).range, ⨆ n, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := (Finset.sum_congr rfl fun x _ => by rw [measure_iUnion_eq_iSup (mono x).directed_le, ENNReal.mul_iSup]) _ = ⨆ n, ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by refine ENNReal.finset_sum_iSup_nat fun p i j h ↦ ?_ gcongr _ * μ ?_ exact mono p h _ ≤ ⨆ n : ℕ, ((rs.map c).restrict { a | (rs.map c) a ≤ f n a }).lintegral μ := by gcongr with n rw [restrict_lintegral _ (h_meas n)] refine le_of_eq (Finset.sum_congr rfl fun r _ => ?_) congr 2 with a refine and_congr_right ?_ simp (config := { contextual := true }) _ ≤ ⨆ n, ∫⁻ a, f n a ∂μ := by simp only [← SimpleFunc.lintegral_eq_lintegral] gcongr with n a simp only [map_apply] at h_meas simp only [coe_map, restrict_apply _ (h_meas _), (· ∘ ·)] exact indicator_apply_le id #align measure_theory.lintegral_supr MeasureTheory.lintegral_iSup theorem lintegral_iSup' {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by simp_rw [← iSup_apply] let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Monotone f' have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_mono have h_ae_seq_mono : Monotone (aeSeq hf p) := by intro n m hnm x by_cases hx : x ∈ aeSeqSet hf p · exact aeSeq.prop_of_mem_aeSeqSet hf hx hnm · simp only [aeSeq, hx, if_false, le_rfl] rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm] simp_rw [iSup_apply] rw [lintegral_iSup (aeSeq.measurable hf p) h_ae_seq_mono] congr with n exact lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae hf hp n) #align measure_theory.lintegral_supr' MeasureTheory.lintegral_iSup' theorem lintegral_tendsto_of_tendsto_of_monotone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) (h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 <| F x)) : Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 <| ∫⁻ x, F x ∂μ) := by have : Monotone fun n => ∫⁻ x, f n x ∂μ := fun i j hij => lintegral_mono_ae (h_mono.mono fun x hx => hx hij) suffices key : ∫⁻ x, F x ∂μ = ⨆ n, ∫⁻ x, f n x ∂μ by rw [key] exact tendsto_atTop_iSup this rw [← lintegral_iSup' hf h_mono] refine lintegral_congr_ae ?_ filter_upwards [h_mono, h_tendsto] with _ hx_mono hx_tendsto using tendsto_nhds_unique hx_tendsto (tendsto_atTop_iSup hx_mono) #align measure_theory.lintegral_tendsto_of_tendsto_of_monotone MeasureTheory.lintegral_tendsto_of_tendsto_of_monotone theorem lintegral_eq_iSup_eapprox_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a ∂μ = ⨆ n, (eapprox f n).lintegral μ := calc ∫⁻ a, f a ∂μ = ∫⁻ a, ⨆ n, (eapprox f n : α → ℝ≥0∞) a ∂μ := by congr; ext a; rw [iSup_eapprox_apply f hf] _ = ⨆ n, ∫⁻ a, (eapprox f n : α → ℝ≥0∞) a ∂μ := by apply lintegral_iSup · measurability · intro i j h exact monotone_eapprox f h _ = ⨆ n, (eapprox f n).lintegral μ := by congr; ext n; rw [(eapprox f n).lintegral_eq_lintegral] #align measure_theory.lintegral_eq_supr_eapprox_lintegral MeasureTheory.lintegral_eq_iSup_eapprox_lintegral theorem exists_pos_set_lintegral_lt_of_measure_lt {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ δ > 0, ∀ s, μ s < δ → ∫⁻ x in s, f x ∂μ < ε := by rcases exists_between (pos_iff_ne_zero.mpr hε) with ⟨ε₂, hε₂0, hε₂ε⟩ rcases exists_between hε₂0 with ⟨ε₁, hε₁0, hε₁₂⟩ rcases exists_simpleFunc_forall_lintegral_sub_lt_of_pos h hε₁0.ne' with ⟨φ, _, hφ⟩ rcases φ.exists_forall_le with ⟨C, hC⟩ use (ε₂ - ε₁) / C, ENNReal.div_pos_iff.2 ⟨(tsub_pos_iff_lt.2 hε₁₂).ne', ENNReal.coe_ne_top⟩ refine fun s hs => lt_of_le_of_lt ?_ hε₂ε simp only [lintegral_eq_nnreal, iSup_le_iff] intro ψ hψ calc (map (↑) ψ).lintegral (μ.restrict s) ≤ (map (↑) φ).lintegral (μ.restrict s) + (map (↑) (ψ - φ)).lintegral (μ.restrict s) := by rw [← SimpleFunc.add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add] refine SimpleFunc.lintegral_mono (fun x => ?_) le_rfl simp only [add_tsub_eq_max, le_max_right, coe_map, Function.comp_apply, SimpleFunc.coe_add, SimpleFunc.coe_sub, Pi.add_apply, Pi.sub_apply, ENNReal.coe_max (φ x) (ψ x)] _ ≤ (map (↑) φ).lintegral (μ.restrict s) + ε₁ := by gcongr refine le_trans ?_ (hφ _ hψ).le exact SimpleFunc.lintegral_mono le_rfl Measure.restrict_le_self _ ≤ (SimpleFunc.const α (C : ℝ≥0∞)).lintegral (μ.restrict s) + ε₁ := by gcongr exact SimpleFunc.lintegral_mono (fun x ↦ ENNReal.coe_le_coe.2 (hC x)) le_rfl _ = C * μ s + ε₁ := by simp only [← SimpleFunc.lintegral_eq_lintegral, coe_const, lintegral_const, Measure.restrict_apply, MeasurableSet.univ, univ_inter, Function.const] _ ≤ C * ((ε₂ - ε₁) / C) + ε₁ := by gcongr _ ≤ ε₂ - ε₁ + ε₁ := by gcongr; apply mul_div_le _ = ε₂ := tsub_add_cancel_of_le hε₁₂.le #align measure_theory.exists_pos_set_lintegral_lt_of_measure_lt MeasureTheory.exists_pos_set_lintegral_lt_of_measure_lt theorem tendsto_set_lintegral_zero {ι} {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {l : Filter ι} {s : ι → Set α} (hl : Tendsto (μ ∘ s) l (𝓝 0)) : Tendsto (fun i => ∫⁻ x in s i, f x ∂μ) l (𝓝 0) := by simp only [ENNReal.nhds_zero, tendsto_iInf, tendsto_principal, mem_Iio, ← pos_iff_ne_zero] at hl ⊢ intro ε ε0 rcases exists_pos_set_lintegral_lt_of_measure_lt h ε0.ne' with ⟨δ, δ0, hδ⟩ exact (hl δ δ0).mono fun i => hδ _ #align measure_theory.tendsto_set_lintegral_zero MeasureTheory.tendsto_set_lintegral_zero theorem le_lintegral_add (f g : α → ℝ≥0∞) : ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ ≤ ∫⁻ a, f a + g a ∂μ := by simp only [lintegral] refine ENNReal.biSup_add_biSup_le' (p := fun h : α →ₛ ℝ≥0∞ => h ≤ f) (q := fun h : α →ₛ ℝ≥0∞ => h ≤ g) ⟨0, zero_le f⟩ ⟨0, zero_le g⟩ fun f' hf' g' hg' => ?_ exact le_iSup₂_of_le (f' + g') (add_le_add hf' hg') (add_lintegral _ _).ge #align measure_theory.le_lintegral_add MeasureTheory.le_lintegral_add -- Use stronger lemmas `lintegral_add_left`/`lintegral_add_right` instead theorem lintegral_add_aux {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := calc ∫⁻ a, f a + g a ∂μ = ∫⁻ a, (⨆ n, (eapprox f n : α → ℝ≥0∞) a) + ⨆ n, (eapprox g n : α → ℝ≥0∞) a ∂μ := by simp only [iSup_eapprox_apply, hf, hg] _ = ∫⁻ a, ⨆ n, (eapprox f n + eapprox g n : α → ℝ≥0∞) a ∂μ := by congr; funext a rw [ENNReal.iSup_add_iSup_of_monotone] · simp only [Pi.add_apply] · intro i j h exact monotone_eapprox _ h a · intro i j h exact monotone_eapprox _ h a _ = ⨆ n, (eapprox f n).lintegral μ + (eapprox g n).lintegral μ := by rw [lintegral_iSup] · congr funext n rw [← SimpleFunc.add_lintegral, ← SimpleFunc.lintegral_eq_lintegral] simp only [Pi.add_apply, SimpleFunc.coe_add] · measurability · intro i j h a dsimp gcongr <;> exact monotone_eapprox _ h _ _ = (⨆ n, (eapprox f n).lintegral μ) + ⨆ n, (eapprox g n).lintegral μ := by refine (ENNReal.iSup_add_iSup_of_monotone ?_ ?_).symm <;> · intro i j h exact SimpleFunc.lintegral_mono (monotone_eapprox _ h) le_rfl _ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by rw [lintegral_eq_iSup_eapprox_lintegral hf, lintegral_eq_iSup_eapprox_lintegral hg] #align measure_theory.lintegral_add_aux MeasureTheory.lintegral_add_aux @[simp] theorem lintegral_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by refine le_antisymm ?_ (le_lintegral_add _ _) rcases exists_measurable_le_lintegral_eq μ fun a => f a + g a with ⟨φ, hφm, hφ_le, hφ_eq⟩ calc ∫⁻ a, f a + g a ∂μ = ∫⁻ a, φ a ∂μ := hφ_eq _ ≤ ∫⁻ a, f a + (φ a - f a) ∂μ := lintegral_mono fun a => le_add_tsub _ = ∫⁻ a, f a ∂μ + ∫⁻ a, φ a - f a ∂μ := lintegral_add_aux hf (hφm.sub hf) _ ≤ ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := add_le_add_left (lintegral_mono fun a => tsub_le_iff_left.2 <| hφ_le a) _ #align measure_theory.lintegral_add_left MeasureTheory.lintegral_add_left theorem lintegral_add_left' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (g : α → ℝ≥0∞) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by rw [lintegral_congr_ae hf.ae_eq_mk, ← lintegral_add_left hf.measurable_mk, lintegral_congr_ae (hf.ae_eq_mk.add (ae_eq_refl g))] #align measure_theory.lintegral_add_left' MeasureTheory.lintegral_add_left' theorem lintegral_add_right' (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by simpa only [add_comm] using lintegral_add_left' hg f #align measure_theory.lintegral_add_right' MeasureTheory.lintegral_add_right' @[simp] theorem lintegral_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := lintegral_add_right' f hg.aemeasurable #align measure_theory.lintegral_add_right MeasureTheory.lintegral_add_right @[simp] theorem lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂c • μ = c * ∫⁻ a, f a ∂μ := by simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_smul, ENNReal.mul_iSup, smul_eq_mul] #align measure_theory.lintegral_smul_measure MeasureTheory.lintegral_smul_measure lemma set_lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) (s : Set α) : ∫⁻ a in s, f a ∂(c • μ) = c * ∫⁻ a in s, f a ∂μ := by rw [Measure.restrict_smul, lintegral_smul_measure] @[simp] theorem lintegral_sum_measure {m : MeasurableSpace α} {ι} (f : α → ℝ≥0∞) (μ : ι → Measure α) : ∫⁻ a, f a ∂Measure.sum μ = ∑' i, ∫⁻ a, f a ∂μ i := by simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_sum, ENNReal.tsum_eq_iSup_sum] rw [iSup_comm] congr; funext s induction' s using Finset.induction_on with i s hi hs · simp simp only [Finset.sum_insert hi, ← hs] refine (ENNReal.iSup_add_iSup ?_).symm intro φ ψ exact ⟨⟨φ ⊔ ψ, fun x => sup_le (φ.2 x) (ψ.2 x)⟩, add_le_add (SimpleFunc.lintegral_mono le_sup_left le_rfl) (Finset.sum_le_sum fun j _ => SimpleFunc.lintegral_mono le_sup_right le_rfl)⟩ #align measure_theory.lintegral_sum_measure MeasureTheory.lintegral_sum_measure theorem hasSum_lintegral_measure {ι} {_ : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : ι → Measure α) : HasSum (fun i => ∫⁻ a, f a ∂μ i) (∫⁻ a, f a ∂Measure.sum μ) := (lintegral_sum_measure f μ).symm ▸ ENNReal.summable.hasSum #align measure_theory.has_sum_lintegral_measure MeasureTheory.hasSum_lintegral_measure @[simp] theorem lintegral_add_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ ν : Measure α) : ∫⁻ a, f a ∂(μ + ν) = ∫⁻ a, f a ∂μ + ∫⁻ a, f a ∂ν := by simpa [tsum_fintype] using lintegral_sum_measure f fun b => cond b μ ν #align measure_theory.lintegral_add_measure MeasureTheory.lintegral_add_measure @[simp] theorem lintegral_finset_sum_measure {ι} {m : MeasurableSpace α} (s : Finset ι) (f : α → ℝ≥0∞) (μ : ι → Measure α) : ∫⁻ a, f a ∂(∑ i ∈ s, μ i) = ∑ i ∈ s, ∫⁻ a, f a ∂μ i := by rw [← Measure.sum_coe_finset, lintegral_sum_measure, ← Finset.tsum_subtype'] simp only [Finset.coe_sort_coe] #align measure_theory.lintegral_finset_sum_measure MeasureTheory.lintegral_finset_sum_measure @[simp] theorem lintegral_zero_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂(0 : Measure α) = 0 := by simp [lintegral] #align measure_theory.lintegral_zero_measure MeasureTheory.lintegral_zero_measure @[simp] theorem lintegral_of_isEmpty {α} [MeasurableSpace α] [IsEmpty α] (μ : Measure α) (f : α → ℝ≥0∞) : ∫⁻ x, f x ∂μ = 0 := by have : Subsingleton (Measure α) := inferInstance convert lintegral_zero_measure f theorem set_lintegral_empty (f : α → ℝ≥0∞) : ∫⁻ x in ∅, f x ∂μ = 0 := by rw [Measure.restrict_empty, lintegral_zero_measure] #align measure_theory.set_lintegral_empty MeasureTheory.set_lintegral_empty theorem set_lintegral_univ (f : α → ℝ≥0∞) : ∫⁻ x in univ, f x ∂μ = ∫⁻ x, f x ∂μ := by rw [Measure.restrict_univ] #align measure_theory.set_lintegral_univ MeasureTheory.set_lintegral_univ theorem set_lintegral_measure_zero (s : Set α) (f : α → ℝ≥0∞) (hs' : μ s = 0) : ∫⁻ x in s, f x ∂μ = 0 := by convert lintegral_zero_measure _ exact Measure.restrict_eq_zero.2 hs' #align measure_theory.set_lintegral_measure_zero MeasureTheory.set_lintegral_measure_zero theorem lintegral_finset_sum' (s : Finset β) {f : β → α → ℝ≥0∞} (hf : ∀ b ∈ s, AEMeasurable (f b) μ) : ∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := by induction' s using Finset.induction_on with a s has ih · simp · simp only [Finset.sum_insert has] rw [Finset.forall_mem_insert] at hf rw [lintegral_add_left' hf.1, ih hf.2] #align measure_theory.lintegral_finset_sum' MeasureTheory.lintegral_finset_sum' theorem lintegral_finset_sum (s : Finset β) {f : β → α → ℝ≥0∞} (hf : ∀ b ∈ s, Measurable (f b)) : ∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := lintegral_finset_sum' s fun b hb => (hf b hb).aemeasurable #align measure_theory.lintegral_finset_sum MeasureTheory.lintegral_finset_sum @[simp] theorem lintegral_const_mul (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := calc ∫⁻ a, r * f a ∂μ = ∫⁻ a, ⨆ n, (const α r * eapprox f n) a ∂μ := by congr funext a rw [← iSup_eapprox_apply f hf, ENNReal.mul_iSup] simp _ = ⨆ n, r * (eapprox f n).lintegral μ := by rw [lintegral_iSup] · congr funext n rw [← SimpleFunc.const_mul_lintegral, ← SimpleFunc.lintegral_eq_lintegral] · intro n exact SimpleFunc.measurable _ · intro i j h a exact mul_le_mul_left' (monotone_eapprox _ h _) _ _ = r * ∫⁻ a, f a ∂μ := by rw [← ENNReal.mul_iSup, lintegral_eq_iSup_eapprox_lintegral hf] #align measure_theory.lintegral_const_mul MeasureTheory.lintegral_const_mul theorem lintegral_const_mul'' (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) : ∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := by have A : ∫⁻ a, f a ∂μ = ∫⁻ a, hf.mk f a ∂μ := lintegral_congr_ae hf.ae_eq_mk have B : ∫⁻ a, r * f a ∂μ = ∫⁻ a, r * hf.mk f a ∂μ := lintegral_congr_ae (EventuallyEq.fun_comp hf.ae_eq_mk _) rw [A, B, lintegral_const_mul _ hf.measurable_mk] #align measure_theory.lintegral_const_mul'' MeasureTheory.lintegral_const_mul'' theorem lintegral_const_mul_le (r : ℝ≥0∞) (f : α → ℝ≥0∞) : r * ∫⁻ a, f a ∂μ ≤ ∫⁻ a, r * f a ∂μ := by rw [lintegral, ENNReal.mul_iSup] refine iSup_le fun s => ?_ rw [ENNReal.mul_iSup, iSup_le_iff] intro hs rw [← SimpleFunc.const_mul_lintegral, lintegral] refine le_iSup_of_le (const α r * s) (le_iSup_of_le (fun x => ?_) le_rfl) exact mul_le_mul_left' (hs x) _ #align measure_theory.lintegral_const_mul_le MeasureTheory.lintegral_const_mul_le theorem lintegral_const_mul' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) : ∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := by by_cases h : r = 0 · simp [h] apply le_antisymm _ (lintegral_const_mul_le r f) have rinv : r * r⁻¹ = 1 := ENNReal.mul_inv_cancel h hr have rinv' : r⁻¹ * r = 1 := by rw [mul_comm] exact rinv have := lintegral_const_mul_le (μ := μ) r⁻¹ fun x => r * f x simp? [(mul_assoc _ _ _).symm, rinv'] at this says simp only [(mul_assoc _ _ _).symm, rinv', one_mul] at this simpa [(mul_assoc _ _ _).symm, rinv] using mul_le_mul_left' this r #align measure_theory.lintegral_const_mul' MeasureTheory.lintegral_const_mul' theorem lintegral_mul_const (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul r hf] #align measure_theory.lintegral_mul_const MeasureTheory.lintegral_mul_const theorem lintegral_mul_const'' (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) : ∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul'' r hf] #align measure_theory.lintegral_mul_const'' MeasureTheory.lintegral_mul_const'' theorem lintegral_mul_const_le (r : ℝ≥0∞) (f : α → ℝ≥0∞) : (∫⁻ a, f a ∂μ) * r ≤ ∫⁻ a, f a * r ∂μ := by simp_rw [mul_comm, lintegral_const_mul_le r f] #align measure_theory.lintegral_mul_const_le MeasureTheory.lintegral_mul_const_le theorem lintegral_mul_const' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) : ∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul' r f hr] #align measure_theory.lintegral_mul_const' MeasureTheory.lintegral_mul_const' theorem lintegral_lintegral_mul {β} [MeasurableSpace β] {ν : Measure β} {f : α → ℝ≥0∞} {g : β → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g ν) : ∫⁻ x, ∫⁻ y, f x * g y ∂ν ∂μ = (∫⁻ x, f x ∂μ) * ∫⁻ y, g y ∂ν := by simp [lintegral_const_mul'' _ hg, lintegral_mul_const'' _ hf] #align measure_theory.lintegral_lintegral_mul MeasureTheory.lintegral_lintegral_mul -- TODO: Need a better way of rewriting inside of an integral theorem lintegral_rw₁ {f f' : α → β} (h : f =ᵐ[μ] f') (g : β → ℝ≥0∞) : ∫⁻ a, g (f a) ∂μ = ∫⁻ a, g (f' a) ∂μ := lintegral_congr_ae <| h.mono fun a h => by dsimp only; rw [h] #align measure_theory.lintegral_rw₁ MeasureTheory.lintegral_rw₁ -- TODO: Need a better way of rewriting inside of an integral theorem lintegral_rw₂ {f₁ f₁' : α → β} {f₂ f₂' : α → γ} (h₁ : f₁ =ᵐ[μ] f₁') (h₂ : f₂ =ᵐ[μ] f₂') (g : β → γ → ℝ≥0∞) : ∫⁻ a, g (f₁ a) (f₂ a) ∂μ = ∫⁻ a, g (f₁' a) (f₂' a) ∂μ := lintegral_congr_ae <| h₁.mp <| h₂.mono fun _ h₂ h₁ => by dsimp only; rw [h₁, h₂] #align measure_theory.lintegral_rw₂ MeasureTheory.lintegral_rw₂ theorem lintegral_indicator_le (f : α → ℝ≥0∞) (s : Set α) : ∫⁻ a, s.indicator f a ∂μ ≤ ∫⁻ a in s, f a ∂μ := by simp only [lintegral] apply iSup_le (fun g ↦ (iSup_le (fun hg ↦ ?_))) have : g ≤ f := hg.trans (indicator_le_self s f) refine le_iSup_of_le g (le_iSup_of_le this (le_of_eq ?_)) rw [lintegral_restrict, SimpleFunc.lintegral] congr with t by_cases H : t = 0 · simp [H] congr with x simp only [mem_preimage, mem_singleton_iff, mem_inter_iff, iff_self_and] rintro rfl contrapose! H simpa [H] using hg x @[simp] theorem lintegral_indicator (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) : ∫⁻ a, s.indicator f a ∂μ = ∫⁻ a in s, f a ∂μ := by apply le_antisymm (lintegral_indicator_le f s) simp only [lintegral, ← restrict_lintegral_eq_lintegral_restrict _ hs, iSup_subtype'] refine iSup_mono' (Subtype.forall.2 fun φ hφ => ?_) refine ⟨⟨φ.restrict s, fun x => ?_⟩, le_rfl⟩ simp [hφ x, hs, indicator_le_indicator] #align measure_theory.lintegral_indicator MeasureTheory.lintegral_indicator theorem lintegral_indicator₀ (f : α → ℝ≥0∞) {s : Set α} (hs : NullMeasurableSet s μ) : ∫⁻ a, s.indicator f a ∂μ = ∫⁻ a in s, f a ∂μ := by rw [← lintegral_congr_ae (indicator_ae_eq_of_ae_eq_set hs.toMeasurable_ae_eq), lintegral_indicator _ (measurableSet_toMeasurable _ _), Measure.restrict_congr_set hs.toMeasurable_ae_eq] #align measure_theory.lintegral_indicator₀ MeasureTheory.lintegral_indicator₀ theorem lintegral_indicator_const_le (s : Set α) (c : ℝ≥0∞) : ∫⁻ a, s.indicator (fun _ => c) a ∂μ ≤ c * μ s := (lintegral_indicator_le _ _).trans (set_lintegral_const s c).le theorem lintegral_indicator_const₀ {s : Set α} (hs : NullMeasurableSet s μ) (c : ℝ≥0∞) : ∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s := by rw [lintegral_indicator₀ _ hs, set_lintegral_const] theorem lintegral_indicator_const {s : Set α} (hs : MeasurableSet s) (c : ℝ≥0∞) : ∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s := lintegral_indicator_const₀ hs.nullMeasurableSet c #align measure_theory.lintegral_indicator_const MeasureTheory.lintegral_indicator_const theorem set_lintegral_eq_const {f : α → ℝ≥0∞} (hf : Measurable f) (r : ℝ≥0∞) : ∫⁻ x in { x | f x = r }, f x ∂μ = r * μ { x | f x = r } := by have : ∀ᵐ x ∂μ, x ∈ { x | f x = r } → f x = r := ae_of_all μ fun _ hx => hx rw [set_lintegral_congr_fun _ this] · rw [lintegral_const, Measure.restrict_apply MeasurableSet.univ, Set.univ_inter] · exact hf (measurableSet_singleton r) #align measure_theory.set_lintegral_eq_const MeasureTheory.set_lintegral_eq_const theorem lintegral_indicator_one_le (s : Set α) : ∫⁻ a, s.indicator 1 a ∂μ ≤ μ s := (lintegral_indicator_const_le _ _).trans <| (one_mul _).le @[simp] theorem lintegral_indicator_one₀ (hs : NullMeasurableSet s μ) : ∫⁻ a, s.indicator 1 a ∂μ = μ s := (lintegral_indicator_const₀ hs _).trans <| one_mul _ @[simp] theorem lintegral_indicator_one (hs : MeasurableSet s) : ∫⁻ a, s.indicator 1 a ∂μ = μ s := (lintegral_indicator_const hs _).trans <| one_mul _ #align measure_theory.lintegral_indicator_one MeasureTheory.lintegral_indicator_one theorem lintegral_add_mul_meas_add_le_le_lintegral {f g : α → ℝ≥0∞} (hle : f ≤ᵐ[μ] g) (hg : AEMeasurable g μ) (ε : ℝ≥0∞) : ∫⁻ a, f a ∂μ + ε * μ { x | f x + ε ≤ g x } ≤ ∫⁻ a, g a ∂μ := by rcases exists_measurable_le_lintegral_eq μ f with ⟨φ, hφm, hφ_le, hφ_eq⟩ calc ∫⁻ x, f x ∂μ + ε * μ { x | f x + ε ≤ g x } = ∫⁻ x, φ x ∂μ + ε * μ { x | f x + ε ≤ g x } := by rw [hφ_eq] _ ≤ ∫⁻ x, φ x ∂μ + ε * μ { x | φ x + ε ≤ g x } := by gcongr exact fun x => (add_le_add_right (hφ_le _) _).trans _ = ∫⁻ x, φ x + indicator { x | φ x + ε ≤ g x } (fun _ => ε) x ∂μ := by rw [lintegral_add_left hφm, lintegral_indicator₀, set_lintegral_const] exact measurableSet_le (hφm.nullMeasurable.measurable'.add_const _) hg.nullMeasurable _ ≤ ∫⁻ x, g x ∂μ := lintegral_mono_ae (hle.mono fun x hx₁ => ?_) simp only [indicator_apply]; split_ifs with hx₂ exacts [hx₂, (add_zero _).trans_le <| (hφ_le x).trans hx₁] #align measure_theory.lintegral_add_mul_meas_add_le_le_lintegral MeasureTheory.lintegral_add_mul_meas_add_le_le_lintegral theorem mul_meas_ge_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (ε : ℝ≥0∞) : ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ := by simpa only [lintegral_zero, zero_add] using lintegral_add_mul_meas_add_le_le_lintegral (ae_of_all _ fun x => zero_le (f x)) hf ε #align measure_theory.mul_meas_ge_le_lintegral₀ MeasureTheory.mul_meas_ge_le_lintegral₀ theorem mul_meas_ge_le_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) (ε : ℝ≥0∞) : ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ := mul_meas_ge_le_lintegral₀ hf.aemeasurable ε #align measure_theory.mul_meas_ge_le_lintegral MeasureTheory.mul_meas_ge_le_lintegral lemma meas_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) {s : Set α} (hs : ∀ x ∈ s, 1 ≤ f x) : μ s ≤ ∫⁻ a, f a ∂μ := by apply le_trans _ (mul_meas_ge_le_lintegral₀ hf 1) rw [one_mul] exact measure_mono hs lemma lintegral_le_meas {s : Set α} {f : α → ℝ≥0∞} (hf : ∀ a, f a ≤ 1) (h'f : ∀ a ∈ sᶜ, f a = 0) : ∫⁻ a, f a ∂μ ≤ μ s := by apply (lintegral_mono (fun x ↦ ?_)).trans (lintegral_indicator_one_le s) by_cases hx : x ∈ s · simpa [hx] using hf x · simpa [hx] using h'f x hx theorem lintegral_eq_top_of_measure_eq_top_ne_zero {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hμf : μ {x | f x = ∞} ≠ 0) : ∫⁻ x, f x ∂μ = ∞ := eq_top_iff.mpr <| calc ∞ = ∞ * μ { x | ∞ ≤ f x } := by simp [mul_eq_top, hμf] _ ≤ ∫⁻ x, f x ∂μ := mul_meas_ge_le_lintegral₀ hf ∞ #align measure_theory.lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.lintegral_eq_top_of_measure_eq_top_ne_zero theorem setLintegral_eq_top_of_measure_eq_top_ne_zero (hf : AEMeasurable f (μ.restrict s)) (hμf : μ ({x ∈ s | f x = ∞}) ≠ 0) : ∫⁻ x in s, f x ∂μ = ∞ := lintegral_eq_top_of_measure_eq_top_ne_zero hf <| mt (eq_bot_mono <| by rw [← setOf_inter_eq_sep]; exact Measure.le_restrict_apply _ _) hμf #align measure_theory.set_lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.setLintegral_eq_top_of_measure_eq_top_ne_zero theorem measure_eq_top_of_lintegral_ne_top (hf : AEMeasurable f μ) (hμf : ∫⁻ x, f x ∂μ ≠ ∞) : μ {x | f x = ∞} = 0 := of_not_not fun h => hμf <| lintegral_eq_top_of_measure_eq_top_ne_zero hf h #align measure_theory.measure_eq_top_of_lintegral_ne_top MeasureTheory.measure_eq_top_of_lintegral_ne_top theorem measure_eq_top_of_setLintegral_ne_top (hf : AEMeasurable f (μ.restrict s)) (hμf : ∫⁻ x in s, f x ∂μ ≠ ∞) : μ ({x ∈ s | f x = ∞}) = 0 := of_not_not fun h => hμf <| setLintegral_eq_top_of_measure_eq_top_ne_zero hf h #align measure_theory.measure_eq_top_of_set_lintegral_ne_top MeasureTheory.measure_eq_top_of_setLintegral_ne_top theorem meas_ge_le_lintegral_div {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) {ε : ℝ≥0∞} (hε : ε ≠ 0) (hε' : ε ≠ ∞) : μ { x | ε ≤ f x } ≤ (∫⁻ a, f a ∂μ) / ε := (ENNReal.le_div_iff_mul_le (Or.inl hε) (Or.inl hε')).2 <| by rw [mul_comm] exact mul_meas_ge_le_lintegral₀ hf ε #align measure_theory.meas_ge_le_lintegral_div MeasureTheory.meas_ge_le_lintegral_div theorem ae_eq_of_ae_le_of_lintegral_le {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) (hf : ∫⁻ x, f x ∂μ ≠ ∞) (hg : AEMeasurable g μ) (hgf : ∫⁻ x, g x ∂μ ≤ ∫⁻ x, f x ∂μ) : f =ᵐ[μ] g := by have : ∀ n : ℕ, ∀ᵐ x ∂μ, g x < f x + (n : ℝ≥0∞)⁻¹ := by intro n simp only [ae_iff, not_lt] have : ∫⁻ x, f x ∂μ + (↑n)⁻¹ * μ { x : α | f x + (n : ℝ≥0∞)⁻¹ ≤ g x } ≤ ∫⁻ x, f x ∂μ := (lintegral_add_mul_meas_add_le_le_lintegral hfg hg n⁻¹).trans hgf rw [(ENNReal.cancel_of_ne hf).add_le_iff_nonpos_right, nonpos_iff_eq_zero, mul_eq_zero] at this exact this.resolve_left (ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _)) refine hfg.mp ((ae_all_iff.2 this).mono fun x hlt hle => hle.antisymm ?_) suffices Tendsto (fun n : ℕ => f x + (n : ℝ≥0∞)⁻¹) atTop (𝓝 (f x)) from ge_of_tendsto' this fun i => (hlt i).le simpa only [inv_top, add_zero] using tendsto_const_nhds.add (ENNReal.tendsto_inv_iff.2 ENNReal.tendsto_nat_nhds_top) #align measure_theory.ae_eq_of_ae_le_of_lintegral_le MeasureTheory.ae_eq_of_ae_le_of_lintegral_le @[simp] theorem lintegral_eq_zero_iff' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) : ∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 := have : ∫⁻ _ : α, 0 ∂μ ≠ ∞ := by simp [lintegral_zero, zero_ne_top] ⟨fun h => (ae_eq_of_ae_le_of_lintegral_le (ae_of_all _ <| zero_le f) this hf (h.trans lintegral_zero.symm).le).symm, fun h => (lintegral_congr_ae h).trans lintegral_zero⟩ #align measure_theory.lintegral_eq_zero_iff' MeasureTheory.lintegral_eq_zero_iff' @[simp] theorem lintegral_eq_zero_iff {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 := lintegral_eq_zero_iff' hf.aemeasurable #align measure_theory.lintegral_eq_zero_iff MeasureTheory.lintegral_eq_zero_iff theorem lintegral_pos_iff_support {f : α → ℝ≥0∞} (hf : Measurable f) : (0 < ∫⁻ a, f a ∂μ) ↔ 0 < μ (Function.support f) := by simp [pos_iff_ne_zero, hf, Filter.EventuallyEq, ae_iff, Function.support] #align measure_theory.lintegral_pos_iff_support MeasureTheory.lintegral_pos_iff_support theorem setLintegral_pos_iff {f : α → ℝ≥0∞} (hf : Measurable f) {s : Set α} : 0 < ∫⁻ a in s, f a ∂μ ↔ 0 < μ (Function.support f ∩ s) := by rw [lintegral_pos_iff_support hf, Measure.restrict_apply (measurableSet_support hf)] theorem lintegral_iSup_ae {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f n.succ a) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by let ⟨s, hs⟩ := exists_measurable_superset_of_null (ae_iff.1 (ae_all_iff.2 h_mono)) let g n a := if a ∈ s then 0 else f n a have g_eq_f : ∀ᵐ a ∂μ, ∀ n, g n a = f n a := (measure_zero_iff_ae_nmem.1 hs.2.2).mono fun a ha n => if_neg ha calc ∫⁻ a, ⨆ n, f n a ∂μ = ∫⁻ a, ⨆ n, g n a ∂μ := lintegral_congr_ae <| g_eq_f.mono fun a ha => by simp only [ha] _ = ⨆ n, ∫⁻ a, g n a ∂μ := (lintegral_iSup (fun n => measurable_const.piecewise hs.2.1 (hf n)) (monotone_nat_of_le_succ fun n a => ?_)) _ = ⨆ n, ∫⁻ a, f n a ∂μ := by simp only [lintegral_congr_ae (g_eq_f.mono fun _a ha => ha _)] simp only [g] split_ifs with h · rfl · have := Set.not_mem_subset hs.1 h simp only [not_forall, not_le, mem_setOf_eq, not_exists, not_lt] at this exact this n #align measure_theory.lintegral_supr_ae MeasureTheory.lintegral_iSup_ae theorem lintegral_sub' {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞) (h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ := by refine ENNReal.eq_sub_of_add_eq hg_fin ?_ rw [← lintegral_add_right' _ hg] exact lintegral_congr_ae (h_le.mono fun x hx => tsub_add_cancel_of_le hx) #align measure_theory.lintegral_sub' MeasureTheory.lintegral_sub' theorem lintegral_sub {f g : α → ℝ≥0∞} (hg : Measurable g) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞) (h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ := lintegral_sub' hg.aemeasurable hg_fin h_le #align measure_theory.lintegral_sub MeasureTheory.lintegral_sub theorem lintegral_sub_le' (f g : α → ℝ≥0∞) (hf : AEMeasurable f μ) : ∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ := by rw [tsub_le_iff_right] by_cases hfi : ∫⁻ x, f x ∂μ = ∞ · rw [hfi, add_top] exact le_top · rw [← lintegral_add_right' _ hf] gcongr exact le_tsub_add #align measure_theory.lintegral_sub_le' MeasureTheory.lintegral_sub_le' theorem lintegral_sub_le (f g : α → ℝ≥0∞) (hf : Measurable f) : ∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ := lintegral_sub_le' f g hf.aemeasurable #align measure_theory.lintegral_sub_le MeasureTheory.lintegral_sub_le theorem lintegral_strict_mono_of_ae_le_of_frequently_ae_lt {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ) (hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) (h : ∃ᵐ x ∂μ, f x ≠ g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by contrapose! h simp only [not_frequently, Ne, Classical.not_not] exact ae_eq_of_ae_le_of_lintegral_le h_le hfi hg h #align measure_theory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt MeasureTheory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt theorem lintegral_strict_mono_of_ae_le_of_ae_lt_on {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ) (hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) {s : Set α} (hμs : μ s ≠ 0) (h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := lintegral_strict_mono_of_ae_le_of_frequently_ae_lt hg hfi h_le <| ((frequently_ae_mem_iff.2 hμs).and_eventually h).mono fun _x hx => (hx.2 hx.1).ne #align measure_theory.lintegral_strict_mono_of_ae_le_of_ae_lt_on MeasureTheory.lintegral_strict_mono_of_ae_le_of_ae_lt_on theorem lintegral_strict_mono {f g : α → ℝ≥0∞} (hμ : μ ≠ 0) (hg : AEMeasurable g μ) (hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h : ∀ᵐ x ∂μ, f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by rw [Ne, ← Measure.measure_univ_eq_zero] at hμ refine lintegral_strict_mono_of_ae_le_of_ae_lt_on hg hfi (ae_le_of_ae_lt h) hμ ?_ simpa using h #align measure_theory.lintegral_strict_mono MeasureTheory.lintegral_strict_mono theorem set_lintegral_strict_mono {f g : α → ℝ≥0∞} {s : Set α} (hsm : MeasurableSet s) (hs : μ s ≠ 0) (hg : Measurable g) (hfi : ∫⁻ x in s, f x ∂μ ≠ ∞) (h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x in s, f x ∂μ < ∫⁻ x in s, g x ∂μ := lintegral_strict_mono (by simp [hs]) hg.aemeasurable hfi ((ae_restrict_iff' hsm).mpr h) #align measure_theory.set_lintegral_strict_mono MeasureTheory.set_lintegral_strict_mono theorem lintegral_iInf_ae {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) (h_mono : ∀ n : ℕ, f n.succ ≤ᵐ[μ] f n) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) : ∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ := have fn_le_f0 : ∫⁻ a, ⨅ n, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ := lintegral_mono fun a => iInf_le_of_le 0 le_rfl have fn_le_f0' : ⨅ n, ∫⁻ a, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ := iInf_le_of_le 0 le_rfl (ENNReal.sub_right_inj h_fin fn_le_f0 fn_le_f0').1 <| show ∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ from calc ∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a - ⨅ n, f n a ∂μ := (lintegral_sub (measurable_iInf h_meas) (ne_top_of_le_ne_top h_fin <| lintegral_mono fun a => iInf_le _ _) (ae_of_all _ fun a => iInf_le _ _)).symm _ = ∫⁻ a, ⨆ n, f 0 a - f n a ∂μ := congr rfl (funext fun a => ENNReal.sub_iInf) _ = ⨆ n, ∫⁻ a, f 0 a - f n a ∂μ := (lintegral_iSup_ae (fun n => (h_meas 0).sub (h_meas n)) fun n => (h_mono n).mono fun a ha => tsub_le_tsub le_rfl ha) _ = ⨆ n, ∫⁻ a, f 0 a ∂μ - ∫⁻ a, f n a ∂μ := (have h_mono : ∀ᵐ a ∂μ, ∀ n : ℕ, f n.succ a ≤ f n a := ae_all_iff.2 h_mono have h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f 0 a := fun n => h_mono.mono fun a h => by induction' n with n ih · exact le_rfl · exact le_trans (h n) ih congr_arg iSup <| funext fun n => lintegral_sub (h_meas _) (ne_top_of_le_ne_top h_fin <| lintegral_mono_ae <| h_mono n) (h_mono n)) _ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ := ENNReal.sub_iInf.symm #align measure_theory.lintegral_infi_ae MeasureTheory.lintegral_iInf_ae theorem lintegral_iInf {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) (h_anti : Antitone f) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) : ∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ := lintegral_iInf_ae h_meas (fun n => ae_of_all _ <| h_anti n.le_succ) h_fin #align measure_theory.lintegral_infi MeasureTheory.lintegral_iInf theorem lintegral_iInf' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ) (h_anti : ∀ᵐ a ∂μ, Antitone (fun i ↦ f i a)) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) : ∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ := by simp_rw [← iInf_apply] let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Antitone f' have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_anti have h_ae_seq_mono : Antitone (aeSeq h_meas p) := by intro n m hnm x by_cases hx : x ∈ aeSeqSet h_meas p · exact aeSeq.prop_of_mem_aeSeqSet h_meas hx hnm · simp only [aeSeq, hx, if_false] exact le_rfl rw [lintegral_congr_ae (aeSeq.iInf h_meas hp).symm] simp_rw [iInf_apply] rw [lintegral_iInf (aeSeq.measurable h_meas p) h_ae_seq_mono] · congr exact funext fun n ↦ lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp n) · rwa [lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp 0)] theorem lintegral_iInf_directed_of_measurable {mα : MeasurableSpace α} [Countable β] {f : β → α → ℝ≥0∞} {μ : Measure α} (hμ : μ ≠ 0) (hf : ∀ b, Measurable (f b)) (hf_int : ∀ b, ∫⁻ a, f b a ∂μ ≠ ∞) (h_directed : Directed (· ≥ ·) f) : ∫⁻ a, ⨅ b, f b a ∂μ = ⨅ b, ∫⁻ a, f b a ∂μ := by cases nonempty_encodable β cases isEmpty_or_nonempty β · simp only [iInf_of_empty, lintegral_const, ENNReal.top_mul (Measure.measure_univ_ne_zero.mpr hμ)] inhabit β have : ∀ a, ⨅ b, f b a = ⨅ n, f (h_directed.sequence f n) a := by refine fun a => le_antisymm (le_iInf fun n => iInf_le _ _) (le_iInf fun b => iInf_le_of_le (Encodable.encode b + 1) ?_) exact h_directed.sequence_le b a -- Porting note: used `∘` below to deal with its reduced reducibility calc ∫⁻ a, ⨅ b, f b a ∂μ _ = ∫⁻ a, ⨅ n, (f ∘ h_directed.sequence f) n a ∂μ := by simp only [this, Function.comp_apply] _ = ⨅ n, ∫⁻ a, (f ∘ h_directed.sequence f) n a ∂μ := by rw [lintegral_iInf ?_ h_directed.sequence_anti] · exact hf_int _ · exact fun n => hf _ _ = ⨅ b, ∫⁻ a, f b a ∂μ := by refine le_antisymm (le_iInf fun b => ?_) (le_iInf fun n => ?_) · exact iInf_le_of_le (Encodable.encode b + 1) (lintegral_mono <| h_directed.sequence_le b) · exact iInf_le (fun b => ∫⁻ a, f b a ∂μ) _ #align lintegral_infi_directed_of_measurable MeasureTheory.lintegral_iInf_directed_of_measurable theorem lintegral_liminf_le' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ) : ∫⁻ a, liminf (fun n => f n a) atTop ∂μ ≤ liminf (fun n => ∫⁻ a, f n a ∂μ) atTop := calc ∫⁻ a, liminf (fun n => f n a) atTop ∂μ = ∫⁻ a, ⨆ n : ℕ, ⨅ i ≥ n, f i a ∂μ := by simp only [liminf_eq_iSup_iInf_of_nat] _ = ⨆ n : ℕ, ∫⁻ a, ⨅ i ≥ n, f i a ∂μ := (lintegral_iSup' (fun n => aemeasurable_biInf _ (to_countable _) (fun i _ ↦ h_meas i)) (ae_of_all μ fun a n m hnm => iInf_le_iInf_of_subset fun i hi => le_trans hnm hi)) _ ≤ ⨆ n : ℕ, ⨅ i ≥ n, ∫⁻ a, f i a ∂μ := iSup_mono fun n => le_iInf₂_lintegral _ _ = atTop.liminf fun n => ∫⁻ a, f n a ∂μ := Filter.liminf_eq_iSup_iInf_of_nat.symm #align measure_theory.lintegral_liminf_le' MeasureTheory.lintegral_liminf_le' theorem lintegral_liminf_le {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) : ∫⁻ a, liminf (fun n => f n a) atTop ∂μ ≤ liminf (fun n => ∫⁻ a, f n a ∂μ) atTop := lintegral_liminf_le' fun n => (h_meas n).aemeasurable #align measure_theory.lintegral_liminf_le MeasureTheory.lintegral_liminf_le
Mathlib/MeasureTheory/Integral/Lebesgue.lean
1,128
1,144
theorem limsup_lintegral_le {f : ℕ → α → ℝ≥0∞} {g : α → ℝ≥0∞} (hf_meas : ∀ n, Measurable (f n)) (h_bound : ∀ n, f n ≤ᵐ[μ] g) (h_fin : ∫⁻ a, g a ∂μ ≠ ∞) : limsup (fun n => ∫⁻ a, f n a ∂μ) atTop ≤ ∫⁻ a, limsup (fun n => f n a) atTop ∂μ := calc limsup (fun n => ∫⁻ a, f n a ∂μ) atTop = ⨅ n : ℕ, ⨆ i ≥ n, ∫⁻ a, f i a ∂μ := limsup_eq_iInf_iSup_of_nat _ ≤ ⨅ n : ℕ, ∫⁻ a, ⨆ i ≥ n, f i a ∂μ := iInf_mono fun n => iSup₂_lintegral_le _ _ = ∫⁻ a, ⨅ n : ℕ, ⨆ i ≥ n, f i a ∂μ := by
refine (lintegral_iInf ?_ ?_ ?_).symm · intro n exact measurable_biSup _ (to_countable _) (fun i _ ↦ hf_meas i) · intro n m hnm a exact iSup_le_iSup_of_subset fun i hi => le_trans hnm hi · refine ne_top_of_le_ne_top h_fin (lintegral_mono_ae ?_) refine (ae_all_iff.2 h_bound).mono fun n hn => ?_ exact iSup_le fun i => iSup_le fun _ => hn i _ = ∫⁻ a, limsup (fun n => f n a) atTop ∂μ := by simp only [limsup_eq_iInf_iSup_of_nat]
import Mathlib.GroupTheory.Sylow import Mathlib.GroupTheory.Transfer #align_import group_theory.schur_zassenhaus from "leanprover-community/mathlib"@"d57133e49cf06508700ef69030cd099917e0f0de" namespace Subgroup open scoped Classical universe u namespace SchurZassenhausInduction variable {G : Type u} [Group G] [Fintype G] {N : Subgroup G} [Normal N] (h1 : Nat.Coprime (Fintype.card N) N.index) (h2 : ∀ (G' : Type u) [Group G'] [Fintype G'], Fintype.card G' < Fintype.card G → ∀ {N' : Subgroup G'} [N'.Normal], Nat.Coprime (Fintype.card N') N'.index → ∃ H' : Subgroup G', IsComplement' N' H') (h3 : ∀ H : Subgroup G, ¬IsComplement' N H) private theorem step0 : N ≠ ⊥ := by rintro rfl exact h3 ⊤ isComplement'_bot_top set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 private theorem step1 (K : Subgroup G) (hK : K ⊔ N = ⊤) : K = ⊤ := by contrapose! h3 have h4 : (N.comap K.subtype).index = N.index := by rw [← N.relindex_top_right, ← hK] exact (relindex_sup_right K N).symm have h5 : Fintype.card K < Fintype.card G := by rw [← K.index_mul_card] exact lt_mul_of_one_lt_left Fintype.card_pos (one_lt_index_of_ne_top h3) have h6 : Nat.Coprime (Fintype.card (N.comap K.subtype)) (N.comap K.subtype).index := by rw [h4] rw [← Nat.card_eq_fintype_card] at h1 ⊢ exact h1.coprime_dvd_left (card_comap_dvd_of_injective N K.subtype Subtype.coe_injective) obtain ⟨H, hH⟩ := h2 K h5 h6 replace hH : Fintype.card (H.map K.subtype) = N.index := by rw [← relindex_bot_left_eq_card, ← relindex_comap, MonoidHom.comap_bot, Subgroup.ker_subtype, relindex_bot_left, ← IsComplement'.index_eq_card (IsComplement'.symm hH), index_comap, subtype_range, ← relindex_sup_right, hK, relindex_top_right] have h7 : Fintype.card N * Fintype.card (H.map K.subtype) = Fintype.card G := by rw [hH, ← N.index_mul_card, mul_comm] have h8 : (Fintype.card N).Coprime (Fintype.card (H.map K.subtype)) := by rwa [hH] exact ⟨H.map K.subtype, isComplement'_of_coprime h7 h8⟩ private theorem step2 (K : Subgroup G) [K.Normal] (hK : K ≤ N) : K = ⊥ ∨ K = N := by have : Function.Surjective (QuotientGroup.mk' K) := Quotient.surjective_Quotient_mk'' have h4 := step1 h1 h2 h3 contrapose! h4 have h5 : Fintype.card (G ⧸ K) < Fintype.card G := by rw [← index_eq_card, ← K.index_mul_card, ← Nat.card_eq_fintype_card] refine lt_mul_of_one_lt_right (Nat.pos_of_ne_zero index_ne_zero_of_finite) (K.one_lt_card_iff_ne_bot.mpr h4.1) have h6 : (Fintype.card (N.map (QuotientGroup.mk' K))).Coprime (N.map (QuotientGroup.mk' K)).index := by have index_map := N.index_map_eq this (by rwa [QuotientGroup.ker_mk']) have index_pos : 0 < N.index := Nat.pos_of_ne_zero index_ne_zero_of_finite rw [index_map] refine h1.coprime_dvd_left ?_ rw [← Nat.mul_dvd_mul_iff_left index_pos, index_mul_card, ← index_map, index_mul_card] simp only [← Nat.card_eq_fintype_card] exact K.card_quotient_dvd_card obtain ⟨H, hH⟩ := h2 (G ⧸ K) h5 h6 refine ⟨H.comap (QuotientGroup.mk' K), ?_, ?_⟩ · have key : (N.map (QuotientGroup.mk' K)).comap (QuotientGroup.mk' K) = N := by refine comap_map_eq_self ?_ rwa [QuotientGroup.ker_mk'] rwa [← key, comap_sup_eq, hH.symm.sup_eq_top, comap_top] · rw [← comap_top (QuotientGroup.mk' K)] intro hH' rw [comap_injective this hH', isComplement'_top_right, map_eq_bot_iff, QuotientGroup.ker_mk'] at hH exact h4.2 (le_antisymm hK hH) private theorem step3 (K : Subgroup N) [(K.map N.subtype).Normal] : K = ⊥ ∨ K = ⊤ := by have key := step2 h1 h2 h3 (K.map N.subtype) (map_subtype_le K) rw [← map_bot N.subtype] at key conv at key => rhs rhs rw [← N.subtype_range, N.subtype.range_eq_map] have inj := map_injective N.subtype_injective rwa [inj.eq_iff, inj.eq_iff] at key private theorem step4 : (Fintype.card N).minFac.Prime := by rw [← Nat.card_eq_fintype_card] exact Nat.minFac_prime (N.one_lt_card_iff_ne_bot.mpr (step0 h1 h3)).ne' private theorem step5 {P : Sylow (Fintype.card N).minFac N} : P.1 ≠ ⊥ := haveI : Fact (Fintype.card N).minFac.Prime := ⟨step4 h1 h3⟩ P.ne_bot_of_dvd_card (Fintype.card N).minFac_dvd private theorem step6 : IsPGroup (Fintype.card N).minFac N := by haveI : Fact (Fintype.card N).minFac.Prime := ⟨step4 h1 h3⟩ refine Sylow.nonempty.elim fun P => P.2.of_surjective P.1.subtype ?_ rw [← MonoidHom.range_top_iff_surjective, subtype_range] haveI : (P.1.map N.subtype).Normal := normalizer_eq_top.mp (step1 h1 h2 h3 (P.1.map N.subtype).normalizer P.normalizer_sup_eq_top) exact (step3 h1 h2 h3 P.1).resolve_left (step5 h1 h3)
Mathlib/GroupTheory/SchurZassenhaus.lean
252
257
theorem step7 : IsCommutative N := by
haveI := N.bot_or_nontrivial.resolve_left (step0 h1 h3) haveI : Fact (Fintype.card N).minFac.Prime := ⟨step4 h1 h3⟩ exact ⟨⟨fun g h => ((eq_top_iff.mp ((step3 h1 h2 h3 (center N)).resolve_left (step6 h1 h2 h3).bot_lt_center.ne') (mem_top h)).comm g).symm⟩⟩
import Mathlib.NumberTheory.Zsqrtd.GaussianInt import Mathlib.NumberTheory.LegendreSymbol.Basic import Mathlib.Analysis.Normed.Field.Basic #align_import number_theory.zsqrtd.quadratic_reciprocity from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Zsqrtd Complex open scoped ComplexConjugate local notation "ℤ[i]" => GaussianInt namespace GaussianInt open PrincipalIdealRing theorem mod_four_eq_three_of_nat_prime_of_prime (p : ℕ) [hp : Fact p.Prime] (hpi : Prime (p : ℤ[i])) : p % 4 = 3 := hp.1.eq_two_or_odd.elim (fun hp2 => absurd hpi (mt irreducible_iff_prime.2 fun ⟨_, h⟩ => by have := h ⟨1, 1⟩ ⟨1, -1⟩ (hp2.symm ▸ rfl) rw [← norm_eq_one_iff, ← norm_eq_one_iff] at this exact absurd this (by decide))) fun hp1 => by_contradiction fun hp3 : p % 4 ≠ 3 => by have hp41 : p % 4 = 1 := by rw [← Nat.mod_mul_left_mod p 2 2, show 2 * 2 = 4 from rfl] at hp1 have := Nat.mod_lt p (show 0 < 4 by decide) revert this hp3 hp1 generalize p % 4 = m intros; interval_cases m <;> simp_all -- Porting note (#11043): was `decide!` let ⟨k, hk⟩ := (ZMod.exists_sq_eq_neg_one_iff (p := p)).2 <| by rw [hp41]; decide obtain ⟨k, k_lt_p, rfl⟩ : ∃ (k' : ℕ) (_ : k' < p), (k' : ZMod p) = k := by exact ⟨k.val, k.val_lt, ZMod.natCast_zmod_val k⟩ have hpk : p ∣ k ^ 2 + 1 := by rw [pow_two, ← CharP.cast_eq_zero_iff (ZMod p) p, Nat.cast_add, Nat.cast_mul, Nat.cast_one, ← hk, add_left_neg] have hkmul : (k ^ 2 + 1 : ℤ[i]) = ⟨k, 1⟩ * ⟨k, -1⟩ := by ext <;> simp [sq] have hkltp : 1 + k * k < p * p := calc 1 + k * k ≤ k + k * k := by apply add_le_add_right exact (Nat.pos_of_ne_zero fun (hk0 : k = 0) => by clear_aux_decl; simp_all [pow_succ']) _ = k * (k + 1) := by simp [add_comm, mul_add] _ < p * p := mul_lt_mul k_lt_p k_lt_p (Nat.succ_pos _) (Nat.zero_le _) have hpk₁ : ¬(p : ℤ[i]) ∣ ⟨k, -1⟩ := fun ⟨x, hx⟩ => lt_irrefl (p * x : ℤ[i]).norm.natAbs <| calc (norm (p * x : ℤ[i])).natAbs = (Zsqrtd.norm ⟨k, -1⟩).natAbs := by rw [hx] _ < (norm (p : ℤ[i])).natAbs := by simpa [add_comm, Zsqrtd.norm] using hkltp _ ≤ (norm (p * x : ℤ[i])).natAbs := norm_le_norm_mul_left _ fun hx0 => show (-1 : ℤ) ≠ 0 by decide <| by simpa [hx0] using congr_arg Zsqrtd.im hx have hpk₂ : ¬(p : ℤ[i]) ∣ ⟨k, 1⟩ := fun ⟨x, hx⟩ => lt_irrefl (p * x : ℤ[i]).norm.natAbs <| calc (norm (p * x : ℤ[i])).natAbs = (Zsqrtd.norm ⟨k, 1⟩).natAbs := by rw [hx] _ < (norm (p : ℤ[i])).natAbs := by simpa [add_comm, Zsqrtd.norm] using hkltp _ ≤ (norm (p * x : ℤ[i])).natAbs := norm_le_norm_mul_left _ fun hx0 => show (1 : ℤ) ≠ 0 by decide <| by simpa [hx0] using congr_arg Zsqrtd.im hx obtain ⟨y, hy⟩ := hpk have := hpi.2.2 ⟨k, 1⟩ ⟨k, -1⟩ ⟨y, by rw [← hkmul, ← Nat.cast_mul p, ← hy]; simp⟩ clear_aux_decl tauto #align gaussian_int.mod_four_eq_three_of_nat_prime_of_prime GaussianInt.mod_four_eq_three_of_nat_prime_of_prime
Mathlib/NumberTheory/Zsqrtd/QuadraticReciprocity.lean
86
93
theorem prime_of_nat_prime_of_mod_four_eq_three (p : ℕ) [hp : Fact p.Prime] (hp3 : p % 4 = 3) : Prime (p : ℤ[i]) := irreducible_iff_prime.1 <| by_contradiction fun hpi => let ⟨a, b, hab⟩ := sq_add_sq_of_nat_prime_of_not_irreducible p hpi have : ∀ a b : ZMod 4, a ^ 2 + b ^ 2 ≠ (p : ZMod 4) := by
erw [← ZMod.natCast_mod p 4, hp3]; decide this a b (hab ▸ by simp)
import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic #align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "J" => o.rightAngleRotation def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V := LinearMap.isometryOfInner (Real.Angle.cos θ • LinearMap.id + Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by intro x y simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply, LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv, Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left, Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left, inner_add_right, inner_smul_right] linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq) #align orientation.rotation_aux Orientation.rotationAux @[simp] theorem rotationAux_apply (θ : Real.Angle) (x : V) : o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_aux_apply Orientation.rotationAux_apply def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V := LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ) (Real.Angle.cos θ • LinearMap.id - Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul, smul_add, smul_neg, smul_sub, mul_comm, sq] abel · simp) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, add_smul, smul_neg, smul_sub, smul_smul] ring_nf abel · simp) #align orientation.rotation Orientation.rotation theorem rotation_apply (θ : Real.Angle) (x : V) : o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_apply Orientation.rotation_apply theorem rotation_symm_apply (θ : Real.Angle) (x : V) : (o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x := rfl #align orientation.rotation_symm_apply Orientation.rotation_symm_apply theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) : (o.rotation θ).toLinearMap = Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx) !![θ.cos, -θ.sin; θ.sin, θ.cos] := by apply (o.basisRightAngleRotation x hx).ext intro i fin_cases i · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ] · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ, add_comm] #align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin @[simp] theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) rw [o.rotation_eq_matrix_toLin θ hx] simpa [sq] using θ.cos_sq_add_sin_sq #align orientation.det_rotation Orientation.det_rotation @[simp] theorem linearEquiv_det_rotation (θ : Real.Angle) : LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 := Units.ext <| by -- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite -- in mathlib3 this was just `units.ext <| o.det_rotation θ` simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ #align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation @[simp] theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg] #align orientation.rotation_symm Orientation.rotation_symm @[simp] theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation] #align orientation.rotation_zero Orientation.rotation_zero @[simp] theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by ext x simp [rotation] #align orientation.rotation_pi Orientation.rotation_pi theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp #align orientation.rotation_pi_apply Orientation.rotation_pi_apply theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by ext x simp [rotation] #align orientation.rotation_pi_div_two Orientation.rotation_pi_div_two @[simp] theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) : o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by simp only [o.rotation_apply, ← mul_smul, Real.Angle.cos_add, Real.Angle.sin_add, add_smul, sub_smul, LinearIsometryEquiv.trans_apply, smul_add, LinearIsometryEquiv.map_add, LinearIsometryEquiv.map_smul, rightAngleRotation_rightAngleRotation, smul_neg] ring_nf abel #align orientation.rotation_rotation Orientation.rotation_rotation @[simp] theorem rotation_trans (θ₁ θ₂ : Real.Angle) : (o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) := LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply] #align orientation.rotation_trans Orientation.rotation_trans @[simp] theorem kahler_rotation_left (x y : V) (θ : Real.Angle) : o.kahler (o.rotation θ x) y = conj (θ.expMapCircle : ℂ) * o.kahler x y := by -- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`; -- I believe this is because the respective coercions are no longer defeq, and -- `Real.Angle.coe_expMapCircle` uses the `Complex` version. simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply, LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left, Real.Angle.coe_expMapCircle, Complex.conj_ofReal, conj_I] ring #align orientation.kahler_rotation_left Orientation.kahler_rotation_left theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by rw [← o.rotation_pi_apply, rotation_rotation] #align orientation.neg_rotation Orientation.neg_rotation @[simp] theorem neg_rotation_neg_pi_div_two (x : V) : -o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half] #align orientation.neg_rotation_neg_pi_div_two Orientation.neg_rotation_neg_pi_div_two theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x := (neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm #align orientation.neg_rotation_pi_div_two Orientation.neg_rotation_pi_div_two theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) : o.kahler (o.rotation θ x) y = (-θ).expMapCircle * o.kahler x y := by simp only [Real.Angle.expMapCircle_neg, coe_inv_circle_eq_conj, kahler_rotation_left] #align orientation.kahler_rotation_left' Orientation.kahler_rotation_left' @[simp] theorem kahler_rotation_right (x y : V) (θ : Real.Angle) : o.kahler x (o.rotation θ y) = θ.expMapCircle * o.kahler x y := by simp only [o.rotation_apply, map_add, LinearMap.map_smulₛₗ, RingHom.id_apply, real_smul, kahler_rightAngleRotation_right, Real.Angle.coe_expMapCircle] ring #align orientation.kahler_rotation_right Orientation.kahler_rotation_right @[simp] theorem oangle_rotation_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle (o.rotation θ x) y = o.oangle x y - θ := by simp only [oangle, o.kahler_rotation_left'] rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle] · abel · exact ne_zero_of_mem_circle _ · exact o.kahler_ne_zero hx hy #align orientation.oangle_rotation_left Orientation.oangle_rotation_left @[simp] theorem oangle_rotation_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle x (o.rotation θ y) = o.oangle x y + θ := by simp only [oangle, o.kahler_rotation_right] rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle] · abel · exact ne_zero_of_mem_circle _ · exact o.kahler_ne_zero hx hy #align orientation.oangle_rotation_right Orientation.oangle_rotation_right @[simp] theorem oangle_rotation_self_left {x : V} (hx : x ≠ 0) (θ : Real.Angle) : o.oangle (o.rotation θ x) x = -θ := by simp [hx] #align orientation.oangle_rotation_self_left Orientation.oangle_rotation_self_left @[simp] theorem oangle_rotation_self_right {x : V} (hx : x ≠ 0) (θ : Real.Angle) : o.oangle x (o.rotation θ x) = θ := by simp [hx] #align orientation.oangle_rotation_self_right Orientation.oangle_rotation_self_right @[simp] theorem oangle_rotation_oangle_left (x y : V) : o.oangle (o.rotation (o.oangle x y) x) y = 0 := by by_cases hx : x = 0 · simp [hx] · by_cases hy : y = 0 · simp [hy] · simp [hx, hy] #align orientation.oangle_rotation_oangle_left Orientation.oangle_rotation_oangle_left @[simp] theorem oangle_rotation_oangle_right (x y : V) : o.oangle y (o.rotation (o.oangle x y) x) = 0 := by rw [oangle_rev] simp #align orientation.oangle_rotation_oangle_right Orientation.oangle_rotation_oangle_right @[simp] theorem oangle_rotation (x y : V) (θ : Real.Angle) : o.oangle (o.rotation θ x) (o.rotation θ y) = o.oangle x y := by by_cases hx : x = 0 <;> by_cases hy : y = 0 <;> simp [hx, hy] #align orientation.oangle_rotation Orientation.oangle_rotation @[simp] theorem rotation_eq_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) : o.rotation θ x = x ↔ θ = 0 := by constructor · intro h rw [eq_comm] simpa [hx, h] using o.oangle_rotation_right hx hx θ · intro h simp [h] #align orientation.rotation_eq_self_iff_angle_eq_zero Orientation.rotation_eq_self_iff_angle_eq_zero @[simp] theorem eq_rotation_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) : x = o.rotation θ x ↔ θ = 0 := by rw [← o.rotation_eq_self_iff_angle_eq_zero hx, eq_comm] #align orientation.eq_rotation_self_iff_angle_eq_zero Orientation.eq_rotation_self_iff_angle_eq_zero theorem rotation_eq_self_iff (x : V) (θ : Real.Angle) : o.rotation θ x = x ↔ x = 0 ∨ θ = 0 := by by_cases h : x = 0 <;> simp [h] #align orientation.rotation_eq_self_iff Orientation.rotation_eq_self_iff theorem eq_rotation_self_iff (x : V) (θ : Real.Angle) : x = o.rotation θ x ↔ x = 0 ∨ θ = 0 := by rw [← rotation_eq_self_iff, eq_comm] #align orientation.eq_rotation_self_iff Orientation.eq_rotation_self_iff @[simp] theorem rotation_oangle_eq_iff_norm_eq (x y : V) : o.rotation (o.oangle x y) x = y ↔ ‖x‖ = ‖y‖ := by constructor · intro h rw [← h, LinearIsometryEquiv.norm_map] · intro h rw [o.eq_iff_oangle_eq_zero_of_norm_eq] <;> simp [h] #align orientation.rotation_oangle_eq_iff_norm_eq Orientation.rotation_oangle_eq_iff_norm_eq theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle x y = θ ↔ y = (‖y‖ / ‖x‖) • o.rotation θ x := by have hp := div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx) constructor · rintro rfl rw [← LinearIsometryEquiv.map_smul, ← o.oangle_smul_left_of_pos x y hp, eq_comm, rotation_oangle_eq_iff_norm_eq, norm_smul, Real.norm_of_nonneg hp.le, div_mul_cancel₀ _ (norm_ne_zero_iff.2 hx)] · intro hye rw [hye, o.oangle_smul_right_of_pos _ _ hp, o.oangle_rotation_self_right hx] #align orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero Orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero theorem oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle x y = θ ↔ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x := by constructor · intro h rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy] at h exact ⟨‖y‖ / ‖x‖, div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx), h⟩ · rintro ⟨r, hr, rfl⟩ rw [o.oangle_smul_right_of_pos _ _ hr, o.oangle_rotation_self_right hx] #align orientation.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero Orientation.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) : o.oangle x y = θ ↔ x ≠ 0 ∧ y ≠ 0 ∧ y = (‖y‖ / ‖x‖) • o.rotation θ x ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by by_cases hx : x = 0 · simp [hx, eq_comm] · by_cases hy : y = 0 · simp [hy, eq_comm] · rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy] simp [hx, hy] #align orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero Orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero theorem oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) : o.oangle x y = θ ↔ (x ≠ 0 ∧ y ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x) ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by by_cases hx : x = 0 · simp [hx, eq_comm] · by_cases hy : y = 0 · simp [hy, eq_comm] · rw [o.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero hx hy] simp [hx, hy] #align orientation.oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero Orientation.oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero theorem exists_linearIsometryEquiv_eq_of_det_pos {f : V ≃ₗᵢ[ℝ] V} (hd : 0 < LinearMap.det (f.toLinearEquiv : V →ₗ[ℝ] V)) : ∃ θ : Real.Angle, f = o.rotation θ := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) use o.oangle x (f x) apply LinearIsometryEquiv.toLinearEquiv_injective apply LinearEquiv.toLinearMap_injective apply (o.basisRightAngleRotation x hx).ext intro i symm fin_cases i · simp have : o.oangle (J x) (f (J x)) = o.oangle x (f x) := by simp only [oangle, o.linearIsometryEquiv_comp_rightAngleRotation f hd, o.kahler_comp_rightAngleRotation] simp [← this] #align orientation.exists_linear_isometry_equiv_eq_of_det_pos Orientation.exists_linearIsometryEquiv_eq_of_det_pos theorem rotation_map (θ : Real.Angle) (f : V ≃ₗᵢ[ℝ] V') (x : V') : (Orientation.map (Fin 2) f.toLinearEquiv o).rotation θ x = f (o.rotation θ (f.symm x)) := by simp [rotation_apply, o.rightAngleRotation_map] #align orientation.rotation_map Orientation.rotation_map @[simp] protected theorem _root_.Complex.rotation (θ : Real.Angle) (z : ℂ) : Complex.orientation.rotation θ z = θ.expMapCircle * z := by simp only [rotation_apply, Complex.rightAngleRotation, Real.Angle.coe_expMapCircle, real_smul] ring #align complex.rotation Complex.rotation theorem rotation_map_complex (θ : Real.Angle) (f : V ≃ₗᵢ[ℝ] ℂ) (hf : Orientation.map (Fin 2) f.toLinearEquiv o = Complex.orientation) (x : V) : f (o.rotation θ x) = θ.expMapCircle * f x := by rw [← Complex.rotation, ← hf, o.rotation_map, LinearIsometryEquiv.symm_apply_apply] #align orientation.rotation_map_complex Orientation.rotation_map_complex theorem rotation_neg_orientation_eq_neg (θ : Real.Angle) : (-o).rotation θ = o.rotation (-θ) := LinearIsometryEquiv.ext <| by simp [rotation_apply] #align orientation.rotation_neg_orientation_eq_neg Orientation.rotation_neg_orientation_eq_neg @[simp] theorem inner_rotation_pi_div_two_left (x : V) : ⟪o.rotation (π / 2 : ℝ) x, x⟫ = 0 := by rw [rotation_pi_div_two, inner_rightAngleRotation_self] #align orientation.inner_rotation_pi_div_two_left Orientation.inner_rotation_pi_div_two_left @[simp] theorem inner_rotation_pi_div_two_right (x : V) : ⟪x, o.rotation (π / 2 : ℝ) x⟫ = 0 := by rw [real_inner_comm, inner_rotation_pi_div_two_left] #align orientation.inner_rotation_pi_div_two_right Orientation.inner_rotation_pi_div_two_right @[simp] theorem inner_smul_rotation_pi_div_two_left (x : V) (r : ℝ) : ⟪r • o.rotation (π / 2 : ℝ) x, x⟫ = 0 := by rw [inner_smul_left, inner_rotation_pi_div_two_left, mul_zero] #align orientation.inner_smul_rotation_pi_div_two_left Orientation.inner_smul_rotation_pi_div_two_left @[simp] theorem inner_smul_rotation_pi_div_two_right (x : V) (r : ℝ) : ⟪x, r • o.rotation (π / 2 : ℝ) x⟫ = 0 := by rw [real_inner_comm, inner_smul_rotation_pi_div_two_left] #align orientation.inner_smul_rotation_pi_div_two_right Orientation.inner_smul_rotation_pi_div_two_right @[simp] theorem inner_rotation_pi_div_two_left_smul (x : V) (r : ℝ) : ⟪o.rotation (π / 2 : ℝ) x, r • x⟫ = 0 := by rw [inner_smul_right, inner_rotation_pi_div_two_left, mul_zero] #align orientation.inner_rotation_pi_div_two_left_smul Orientation.inner_rotation_pi_div_two_left_smul @[simp] theorem inner_rotation_pi_div_two_right_smul (x : V) (r : ℝ) : ⟪r • x, o.rotation (π / 2 : ℝ) x⟫ = 0 := by rw [real_inner_comm, inner_rotation_pi_div_two_left_smul] #align orientation.inner_rotation_pi_div_two_right_smul Orientation.inner_rotation_pi_div_two_right_smul @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean
469
471
theorem inner_smul_rotation_pi_div_two_smul_left (x : V) (r₁ r₂ : ℝ) : ⟪r₁ • o.rotation (π / 2 : ℝ) x, r₂ • x⟫ = 0 := by
rw [inner_smul_right, inner_smul_rotation_pi_div_two_left, mul_zero]
import Mathlib.Order.Interval.Multiset #align_import data.nat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" -- TODO -- assert_not_exists Ring open Finset Nat variable (a b c : ℕ) namespace Nat instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ where finsetIcc a b := ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ finsetIco a b := ⟨List.range' a (b - a), List.nodup_range' _ _⟩ finsetIoc a b := ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ finsetIoo a b := ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ finset_mem_Icc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ico a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ioc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ioo a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega theorem Icc_eq_range' : Icc a b = ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ := rfl #align nat.Icc_eq_range' Nat.Icc_eq_range' theorem Ico_eq_range' : Ico a b = ⟨List.range' a (b - a), List.nodup_range' _ _⟩ := rfl #align nat.Ico_eq_range' Nat.Ico_eq_range' theorem Ioc_eq_range' : Ioc a b = ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ := rfl #align nat.Ioc_eq_range' Nat.Ioc_eq_range' theorem Ioo_eq_range' : Ioo a b = ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ := rfl #align nat.Ioo_eq_range' Nat.Ioo_eq_range' theorem uIcc_eq_range' : uIcc a b = ⟨List.range' (min a b) (max a b + 1 - min a b), List.nodup_range' _ _⟩ := rfl #align nat.uIcc_eq_range' Nat.uIcc_eq_range' theorem Iio_eq_range : Iio = range := by ext b x rw [mem_Iio, mem_range] #align nat.Iio_eq_range Nat.Iio_eq_range @[simp] theorem Ico_zero_eq_range : Ico 0 = range := by rw [← Nat.bot_eq_zero, ← Iio_eq_Ico, Iio_eq_range] #align nat.Ico_zero_eq_range Nat.Ico_zero_eq_range lemma range_eq_Icc_zero_sub_one (n : ℕ) (hn : n ≠ 0): range n = Icc 0 (n - 1) := by ext b simp_all only [mem_Icc, zero_le, true_and, mem_range] exact lt_iff_le_pred (zero_lt_of_ne_zero hn) theorem _root_.Finset.range_eq_Ico : range = Ico 0 := Ico_zero_eq_range.symm #align finset.range_eq_Ico Finset.range_eq_Ico @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := List.length_range' _ _ _ #align nat.card_Icc Nat.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := List.length_range' _ _ _ #align nat.card_Ico Nat.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := List.length_range' _ _ _ #align nat.card_Ioc Nat.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := List.length_range' _ _ _ #align nat.card_Ioo Nat.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := (card_Icc _ _).trans $ by rw [← Int.natCast_inj, sup_eq_max, inf_eq_min, Int.ofNat_sub] <;> omega #align nat.card_uIcc Nat.card_uIcc @[simp] lemma card_Iic : (Iic b).card = b + 1 := by rw [Iic_eq_Icc, card_Icc, Nat.bot_eq_zero, Nat.sub_zero] #align nat.card_Iic Nat.card_Iic @[simp] theorem card_Iio : (Iio b).card = b := by rw [Iio_eq_Ico, card_Ico, Nat.bot_eq_zero, Nat.sub_zero] #align nat.card_Iio Nat.card_Iio -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [Fintype.card_ofFinset, card_Icc] #align nat.card_fintype_Icc Nat.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by rw [Fintype.card_ofFinset, card_Ico] #align nat.card_fintype_Ico Nat.card_fintypeIco -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by rw [Fintype.card_ofFinset, card_Ioc] #align nat.card_fintype_Ioc Nat.card_fintypeIoc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by rw [Fintype.card_ofFinset, card_Ioo] #align nat.card_fintype_Ioo Nat.card_fintypeIoo -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIic : Fintype.card (Set.Iic b) = b + 1 := by rw [Fintype.card_ofFinset, card_Iic] #align nat.card_fintype_Iic Nat.card_fintypeIic -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIio : Fintype.card (Set.Iio b) = b := by rw [Fintype.card_ofFinset, card_Iio] #align nat.card_fintype_Iio Nat.card_fintypeIio -- TODO@Yaël: Generalize all the following lemmas to `SuccOrder` theorem Icc_succ_left : Icc a.succ b = Ioc a b := by ext x rw [mem_Icc, mem_Ioc, succ_le_iff] #align nat.Icc_succ_left Nat.Icc_succ_left theorem Ico_succ_right : Ico a b.succ = Icc a b := by ext x rw [mem_Ico, mem_Icc, Nat.lt_succ_iff] #align nat.Ico_succ_right Nat.Ico_succ_right theorem Ico_succ_left : Ico a.succ b = Ioo a b := by ext x rw [mem_Ico, mem_Ioo, succ_le_iff] #align nat.Ico_succ_left Nat.Ico_succ_left theorem Icc_pred_right {b : ℕ} (h : 0 < b) : Icc a (b - 1) = Ico a b := by ext x rw [mem_Icc, mem_Ico, lt_iff_le_pred h] #align nat.Icc_pred_right Nat.Icc_pred_right theorem Ico_succ_succ : Ico a.succ b.succ = Ioc a b := by ext x rw [mem_Ico, mem_Ioc, succ_le_iff, Nat.lt_succ_iff] #align nat.Ico_succ_succ Nat.Ico_succ_succ @[simp] theorem Ico_succ_singleton : Ico a (a + 1) = {a} := by rw [Ico_succ_right, Icc_self] #align nat.Ico_succ_singleton Nat.Ico_succ_singleton @[simp] theorem Ico_pred_singleton {a : ℕ} (h : 0 < a) : Ico (a - 1) a = {a - 1} := by rw [← Icc_pred_right _ h, Icc_self] #align nat.Ico_pred_singleton Nat.Ico_pred_singleton @[simp] theorem Ioc_succ_singleton : Ioc b (b + 1) = {b + 1} := by rw [← Nat.Icc_succ_left, Icc_self] #align nat.Ioc_succ_singleton Nat.Ioc_succ_singleton variable {a b c} theorem Ico_succ_right_eq_insert_Ico (h : a ≤ b) : Ico a (b + 1) = insert b (Ico a b) := by rw [Ico_succ_right, ← Ico_insert_right h] #align nat.Ico_succ_right_eq_insert_Ico Nat.Ico_succ_right_eq_insert_Ico
Mathlib/Order/Interval/Finset/Nat.lean
192
193
theorem Ico_insert_succ_left (h : a < b) : insert a (Ico a.succ b) = Ico a b := by
rw [Ico_succ_left, ← Ioo_insert_left h]
import Mathlib.Data.ENNReal.Operations #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal namespace ENNReal noncomputable section Inv variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} protected theorem div_eq_inv_mul : a / b = b⁻¹ * a := by rw [div_eq_mul_inv, mul_comm] #align ennreal.div_eq_inv_mul ENNReal.div_eq_inv_mul @[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ := show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp #align ennreal.inv_zero ENNReal.inv_zero @[simp] theorem inv_top : ∞⁻¹ = 0 := bot_unique <| le_of_forall_le_of_dense fun a (h : 0 < a) => sInf_le <| by simp [*, h.ne', top_mul] #align ennreal.inv_top ENNReal.inv_top theorem coe_inv_le : (↑r⁻¹ : ℝ≥0∞) ≤ (↑r)⁻¹ := le_sInf fun b (hb : 1 ≤ ↑r * b) => coe_le_iff.2 <| by rintro b rfl apply NNReal.inv_le_of_le_mul rwa [← coe_mul, ← coe_one, coe_le_coe] at hb #align ennreal.coe_inv_le ENNReal.coe_inv_le @[simp, norm_cast] theorem coe_inv (hr : r ≠ 0) : (↑r⁻¹ : ℝ≥0∞) = (↑r)⁻¹ := coe_inv_le.antisymm <| sInf_le <| mem_setOf.2 <| by rw [← coe_mul, mul_inv_cancel hr, coe_one] #align ennreal.coe_inv ENNReal.coe_inv @[norm_cast] theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two] #align ennreal.coe_inv_two ENNReal.coe_inv_two @[simp, norm_cast] theorem coe_div (hr : r ≠ 0) : (↑(p / r) : ℝ≥0∞) = p / r := by rw [div_eq_mul_inv, div_eq_mul_inv, coe_mul, coe_inv hr] #align ennreal.coe_div ENNReal.coe_div lemma coe_div_le : ↑(p / r) ≤ (p / r : ℝ≥0∞) := by simpa only [div_eq_mul_inv, coe_mul] using mul_le_mul_left' coe_inv_le _ theorem div_zero (h : a ≠ 0) : a / 0 = ∞ := by simp [div_eq_mul_inv, h] #align ennreal.div_zero ENNReal.div_zero instance : DivInvOneMonoid ℝ≥0∞ := { inferInstanceAs (DivInvMonoid ℝ≥0∞) with inv_one := by simpa only [coe_inv one_ne_zero, coe_one] using coe_inj.2 inv_one } protected theorem inv_pow : ∀ {a : ℝ≥0∞} {n : ℕ}, (a ^ n)⁻¹ = a⁻¹ ^ n | _, 0 => by simp only [pow_zero, inv_one] | ⊤, n + 1 => by simp [top_pow] | (a : ℝ≥0), n + 1 => by rcases eq_or_ne a 0 with (rfl | ha) · simp [top_pow] · have := pow_ne_zero (n + 1) ha norm_cast rw [inv_pow] #align ennreal.inv_pow ENNReal.inv_pow protected theorem mul_inv_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a * a⁻¹ = 1 := by lift a to ℝ≥0 using ht norm_cast at h0; norm_cast exact mul_inv_cancel h0 #align ennreal.mul_inv_cancel ENNReal.mul_inv_cancel protected theorem inv_mul_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a⁻¹ * a = 1 := mul_comm a a⁻¹ ▸ ENNReal.mul_inv_cancel h0 ht #align ennreal.inv_mul_cancel ENNReal.inv_mul_cancel protected theorem div_mul_cancel (h0 : a ≠ 0) (hI : a ≠ ∞) : b / a * a = b := by rw [div_eq_mul_inv, mul_assoc, ENNReal.inv_mul_cancel h0 hI, mul_one] #align ennreal.div_mul_cancel ENNReal.div_mul_cancel protected theorem mul_div_cancel' (h0 : a ≠ 0) (hI : a ≠ ∞) : a * (b / a) = b := by rw [mul_comm, ENNReal.div_mul_cancel h0 hI] #align ennreal.mul_div_cancel' ENNReal.mul_div_cancel' -- Porting note: `simp only [div_eq_mul_inv, mul_comm, mul_assoc]` doesn't work in the following two protected theorem mul_comm_div : a / b * c = a * (c / b) := by simp only [div_eq_mul_inv, mul_right_comm, ← mul_assoc] #align ennreal.mul_comm_div ENNReal.mul_comm_div protected theorem mul_div_right_comm : a * b / c = a / c * b := by simp only [div_eq_mul_inv, mul_right_comm] #align ennreal.mul_div_right_comm ENNReal.mul_div_right_comm instance : InvolutiveInv ℝ≥0∞ where inv_inv a := by by_cases a = 0 <;> cases a <;> simp_all [none_eq_top, some_eq_coe, -coe_inv, (coe_inv _).symm] @[simp] protected lemma inv_eq_one : a⁻¹ = 1 ↔ a = 1 := by rw [← inv_inj, inv_inv, inv_one] @[simp] theorem inv_eq_top : a⁻¹ = ∞ ↔ a = 0 := inv_zero ▸ inv_inj #align ennreal.inv_eq_top ENNReal.inv_eq_top theorem inv_ne_top : a⁻¹ ≠ ∞ ↔ a ≠ 0 := by simp #align ennreal.inv_ne_top ENNReal.inv_ne_top @[simp] theorem inv_lt_top {x : ℝ≥0∞} : x⁻¹ < ∞ ↔ 0 < x := by simp only [lt_top_iff_ne_top, inv_ne_top, pos_iff_ne_zero] #align ennreal.inv_lt_top ENNReal.inv_lt_top theorem div_lt_top {x y : ℝ≥0∞} (h1 : x ≠ ∞) (h2 : y ≠ 0) : x / y < ∞ := mul_lt_top h1 (inv_ne_top.mpr h2) #align ennreal.div_lt_top ENNReal.div_lt_top @[simp] protected theorem inv_eq_zero : a⁻¹ = 0 ↔ a = ∞ := inv_top ▸ inv_inj #align ennreal.inv_eq_zero ENNReal.inv_eq_zero protected theorem inv_ne_zero : a⁻¹ ≠ 0 ↔ a ≠ ∞ := by simp #align ennreal.inv_ne_zero ENNReal.inv_ne_zero protected theorem div_pos (ha : a ≠ 0) (hb : b ≠ ∞) : 0 < a / b := ENNReal.mul_pos ha <| ENNReal.inv_ne_zero.2 hb #align ennreal.div_pos ENNReal.div_pos protected theorem mul_inv {a b : ℝ≥0∞} (ha : a ≠ 0 ∨ b ≠ ∞) (hb : a ≠ ∞ ∨ b ≠ 0) : (a * b)⁻¹ = a⁻¹ * b⁻¹ := by induction' b with b · replace ha : a ≠ 0 := ha.neg_resolve_right rfl simp [ha] induction' a with a · replace hb : b ≠ 0 := coe_ne_zero.1 (hb.neg_resolve_left rfl) simp [hb] by_cases h'a : a = 0 · simp only [h'a, top_mul, ENNReal.inv_zero, ENNReal.coe_ne_top, zero_mul, Ne, not_false_iff, ENNReal.coe_zero, ENNReal.inv_eq_zero] by_cases h'b : b = 0 · simp only [h'b, ENNReal.inv_zero, ENNReal.coe_ne_top, mul_top, Ne, not_false_iff, mul_zero, ENNReal.coe_zero, ENNReal.inv_eq_zero] rw [← ENNReal.coe_mul, ← ENNReal.coe_inv, ← ENNReal.coe_inv h'a, ← ENNReal.coe_inv h'b, ← ENNReal.coe_mul, mul_inv_rev, mul_comm] simp [h'a, h'b] #align ennreal.mul_inv ENNReal.mul_inv protected theorem mul_div_mul_left (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) : c * a / (c * b) = a / b := by rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inl hc) (Or.inl hc'), mul_mul_mul_comm, ENNReal.mul_inv_cancel hc hc', one_mul] #align ennreal.mul_div_mul_left ENNReal.mul_div_mul_left protected theorem mul_div_mul_right (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) : a * c / (b * c) = a / b := by rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inr hc') (Or.inr hc), mul_mul_mul_comm, ENNReal.mul_inv_cancel hc hc', mul_one] #align ennreal.mul_div_mul_right ENNReal.mul_div_mul_right protected theorem sub_div (h : 0 < b → b < a → c ≠ 0) : (a - b) / c = a / c - b / c := by simp_rw [div_eq_mul_inv] exact ENNReal.sub_mul (by simpa using h) #align ennreal.sub_div ENNReal.sub_div @[simp] protected theorem inv_pos : 0 < a⁻¹ ↔ a ≠ ∞ := pos_iff_ne_zero.trans ENNReal.inv_ne_zero #align ennreal.inv_pos ENNReal.inv_pos theorem inv_strictAnti : StrictAnti (Inv.inv : ℝ≥0∞ → ℝ≥0∞) := by intro a b h lift a to ℝ≥0 using h.ne_top induction b; · simp rw [coe_lt_coe] at h rcases eq_or_ne a 0 with (rfl | ha); · simp [h] rw [← coe_inv h.ne_bot, ← coe_inv ha, coe_lt_coe] exact NNReal.inv_lt_inv ha h #align ennreal.inv_strict_anti ENNReal.inv_strictAnti @[simp] protected theorem inv_lt_inv : a⁻¹ < b⁻¹ ↔ b < a := inv_strictAnti.lt_iff_lt #align ennreal.inv_lt_inv ENNReal.inv_lt_inv theorem inv_lt_iff_inv_lt : a⁻¹ < b ↔ b⁻¹ < a := by simpa only [inv_inv] using @ENNReal.inv_lt_inv a b⁻¹ #align ennreal.inv_lt_iff_inv_lt ENNReal.inv_lt_iff_inv_lt theorem lt_inv_iff_lt_inv : a < b⁻¹ ↔ b < a⁻¹ := by simpa only [inv_inv] using @ENNReal.inv_lt_inv a⁻¹ b #align ennreal.lt_inv_iff_lt_inv ENNReal.lt_inv_iff_lt_inv @[simp] protected theorem inv_le_inv : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := inv_strictAnti.le_iff_le #align ennreal.inv_le_inv ENNReal.inv_le_inv theorem inv_le_iff_inv_le : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by simpa only [inv_inv] using @ENNReal.inv_le_inv a b⁻¹ #align ennreal.inv_le_iff_inv_le ENNReal.inv_le_iff_inv_le theorem le_inv_iff_le_inv : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by simpa only [inv_inv] using @ENNReal.inv_le_inv a⁻¹ b #align ennreal.le_inv_iff_le_inv ENNReal.le_inv_iff_le_inv @[gcongr] protected theorem inv_le_inv' (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := ENNReal.inv_strictAnti.antitone h @[gcongr] protected theorem inv_lt_inv' (h : a < b) : b⁻¹ < a⁻¹ := ENNReal.inv_strictAnti h @[simp] protected theorem inv_le_one : a⁻¹ ≤ 1 ↔ 1 ≤ a := by rw [inv_le_iff_inv_le, inv_one] #align ennreal.inv_le_one ENNReal.inv_le_one protected theorem one_le_inv : 1 ≤ a⁻¹ ↔ a ≤ 1 := by rw [le_inv_iff_le_inv, inv_one] #align ennreal.one_le_inv ENNReal.one_le_inv @[simp] protected theorem inv_lt_one : a⁻¹ < 1 ↔ 1 < a := by rw [inv_lt_iff_inv_lt, inv_one] #align ennreal.inv_lt_one ENNReal.inv_lt_one @[simp] protected theorem one_lt_inv : 1 < a⁻¹ ↔ a < 1 := by rw [lt_inv_iff_lt_inv, inv_one] #align ennreal.one_lt_inv ENNReal.one_lt_inv @[simps! apply] def _root_.OrderIso.invENNReal : ℝ≥0∞ ≃o ℝ≥0∞ᵒᵈ where map_rel_iff' := ENNReal.inv_le_inv toEquiv := (Equiv.inv ℝ≥0∞).trans OrderDual.toDual #align order_iso.inv_ennreal OrderIso.invENNReal #align order_iso.inv_ennreal_apply OrderIso.invENNReal_apply @[simp] theorem _root_.OrderIso.invENNReal_symm_apply (a : ℝ≥0∞ᵒᵈ) : OrderIso.invENNReal.symm a = (OrderDual.ofDual a)⁻¹ := rfl #align order_iso.inv_ennreal_symm_apply OrderIso.invENNReal_symm_apply @[simp] theorem div_top : a / ∞ = 0 := by rw [div_eq_mul_inv, inv_top, mul_zero] #align ennreal.div_top ENNReal.div_top -- Porting note: reordered 4 lemmas theorem top_div : ∞ / a = if a = ∞ then 0 else ∞ := by simp [div_eq_mul_inv, top_mul'] #align ennreal.top_div ENNReal.top_div theorem top_div_of_ne_top (h : a ≠ ∞) : ∞ / a = ∞ := by simp [top_div, h] #align ennreal.top_div_of_ne_top ENNReal.top_div_of_ne_top @[simp] theorem top_div_coe : ∞ / p = ∞ := top_div_of_ne_top coe_ne_top #align ennreal.top_div_coe ENNReal.top_div_coe theorem top_div_of_lt_top (h : a < ∞) : ∞ / a = ∞ := top_div_of_ne_top h.ne #align ennreal.top_div_of_lt_top ENNReal.top_div_of_lt_top @[simp] protected theorem zero_div : 0 / a = 0 := zero_mul a⁻¹ #align ennreal.zero_div ENNReal.zero_div theorem div_eq_top : a / b = ∞ ↔ a ≠ 0 ∧ b = 0 ∨ a = ∞ ∧ b ≠ ∞ := by simp [div_eq_mul_inv, ENNReal.mul_eq_top] #align ennreal.div_eq_top ENNReal.div_eq_top protected theorem le_div_iff_mul_le (h0 : b ≠ 0 ∨ c ≠ 0) (ht : b ≠ ∞ ∨ c ≠ ∞) : a ≤ c / b ↔ a * b ≤ c := by induction' b with b · lift c to ℝ≥0 using ht.neg_resolve_left rfl rw [div_top, nonpos_iff_eq_zero] rcases eq_or_ne a 0 with (rfl | ha) <;> simp [*] rcases eq_or_ne b 0 with (rfl | hb) · have hc : c ≠ 0 := h0.neg_resolve_left rfl simp [div_zero hc] · rw [← coe_ne_zero] at hb rw [← ENNReal.mul_le_mul_right hb coe_ne_top, ENNReal.div_mul_cancel hb coe_ne_top] #align ennreal.le_div_iff_mul_le ENNReal.le_div_iff_mul_le protected theorem div_le_iff_le_mul (hb0 : b ≠ 0 ∨ c ≠ ∞) (hbt : b ≠ ∞ ∨ c ≠ 0) : a / b ≤ c ↔ a ≤ c * b := by suffices a * b⁻¹ ≤ c ↔ a ≤ c / b⁻¹ by simpa [div_eq_mul_inv] refine (ENNReal.le_div_iff_mul_le ?_ ?_).symm <;> simpa #align ennreal.div_le_iff_le_mul ENNReal.div_le_iff_le_mul protected theorem lt_div_iff_mul_lt (hb0 : b ≠ 0 ∨ c ≠ ∞) (hbt : b ≠ ∞ ∨ c ≠ 0) : c < a / b ↔ c * b < a := lt_iff_lt_of_le_iff_le (ENNReal.div_le_iff_le_mul hb0 hbt) #align ennreal.lt_div_iff_mul_lt ENNReal.lt_div_iff_mul_lt theorem div_le_of_le_mul (h : a ≤ b * c) : a / c ≤ b := by by_cases h0 : c = 0 · have : a = 0 := by simpa [h0] using h simp [*] by_cases hinf : c = ∞; · simp [hinf] exact (ENNReal.div_le_iff_le_mul (Or.inl h0) (Or.inl hinf)).2 h #align ennreal.div_le_of_le_mul ENNReal.div_le_of_le_mul theorem div_le_of_le_mul' (h : a ≤ b * c) : a / b ≤ c := div_le_of_le_mul <| mul_comm b c ▸ h #align ennreal.div_le_of_le_mul' ENNReal.div_le_of_le_mul' protected theorem div_self_le_one : a / a ≤ 1 := div_le_of_le_mul <| by rw [one_mul] theorem mul_le_of_le_div (h : a ≤ b / c) : a * c ≤ b := by rw [← inv_inv c] exact div_le_of_le_mul h #align ennreal.mul_le_of_le_div ENNReal.mul_le_of_le_div theorem mul_le_of_le_div' (h : a ≤ b / c) : c * a ≤ b := mul_comm a c ▸ mul_le_of_le_div h #align ennreal.mul_le_of_le_div' ENNReal.mul_le_of_le_div' protected theorem div_lt_iff (h0 : b ≠ 0 ∨ c ≠ 0) (ht : b ≠ ∞ ∨ c ≠ ∞) : c / b < a ↔ c < a * b := lt_iff_lt_of_le_iff_le <| ENNReal.le_div_iff_mul_le h0 ht #align ennreal.div_lt_iff ENNReal.div_lt_iff theorem mul_lt_of_lt_div (h : a < b / c) : a * c < b := by contrapose! h exact ENNReal.div_le_of_le_mul h #align ennreal.mul_lt_of_lt_div ENNReal.mul_lt_of_lt_div theorem mul_lt_of_lt_div' (h : a < b / c) : c * a < b := mul_comm a c ▸ mul_lt_of_lt_div h #align ennreal.mul_lt_of_lt_div' ENNReal.mul_lt_of_lt_div' theorem div_lt_of_lt_mul (h : a < b * c) : a / c < b := mul_lt_of_lt_div <| by rwa [div_eq_mul_inv, inv_inv] theorem div_lt_of_lt_mul' (h : a < b * c) : a / b < c := div_lt_of_lt_mul <| by rwa [mul_comm] theorem inv_le_iff_le_mul (h₁ : b = ∞ → a ≠ 0) (h₂ : a = ∞ → b ≠ 0) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by rw [← one_div, ENNReal.div_le_iff_le_mul, mul_comm] exacts [or_not_of_imp h₁, not_or_of_imp h₂] #align ennreal.inv_le_iff_le_mul ENNReal.inv_le_iff_le_mul @[simp 900] theorem le_inv_iff_mul_le : a ≤ b⁻¹ ↔ a * b ≤ 1 := by rw [← one_div, ENNReal.le_div_iff_mul_le] <;> · right simp #align ennreal.le_inv_iff_mul_le ENNReal.le_inv_iff_mul_le @[gcongr] protected theorem div_le_div (hab : a ≤ b) (hdc : d ≤ c) : a / c ≤ b / d := div_eq_mul_inv b d ▸ div_eq_mul_inv a c ▸ mul_le_mul' hab (ENNReal.inv_le_inv.mpr hdc) #align ennreal.div_le_div ENNReal.div_le_div @[gcongr] protected theorem div_le_div_left (h : a ≤ b) (c : ℝ≥0∞) : c / b ≤ c / a := ENNReal.div_le_div le_rfl h #align ennreal.div_le_div_left ENNReal.div_le_div_left @[gcongr] protected theorem div_le_div_right (h : a ≤ b) (c : ℝ≥0∞) : a / c ≤ b / c := ENNReal.div_le_div h le_rfl #align ennreal.div_le_div_right ENNReal.div_le_div_right protected theorem eq_inv_of_mul_eq_one_left (h : a * b = 1) : a = b⁻¹ := by rw [← mul_one a, ← ENNReal.mul_inv_cancel (right_ne_zero_of_mul_eq_one h), ← mul_assoc, h, one_mul] rintro rfl simp [left_ne_zero_of_mul_eq_one h] at h #align ennreal.eq_inv_of_mul_eq_one_left ENNReal.eq_inv_of_mul_eq_one_left theorem mul_le_iff_le_inv {a b r : ℝ≥0∞} (hr₀ : r ≠ 0) (hr₁ : r ≠ ∞) : r * a ≤ b ↔ a ≤ r⁻¹ * b := by rw [← @ENNReal.mul_le_mul_left _ a _ hr₀ hr₁, ← mul_assoc, ENNReal.mul_inv_cancel hr₀ hr₁, one_mul] #align ennreal.mul_le_iff_le_inv ENNReal.mul_le_iff_le_inv instance : PosSMulStrictMono ℝ≥0 ℝ≥0∞ where elim _r hr _a _b hab := ENNReal.mul_lt_mul_left' (coe_pos.2 hr).ne' coe_ne_top hab instance : SMulPosMono ℝ≥0 ℝ≥0∞ where elim _r _ _a _b hab := mul_le_mul_right' (coe_le_coe.2 hab) _ #align ennreal.le_inv_smul_iff_of_pos le_inv_smul_iff_of_pos #align ennreal.inv_smul_le_iff_of_pos inv_smul_le_iff_of_pos theorem le_of_forall_nnreal_lt {x y : ℝ≥0∞} (h : ∀ r : ℝ≥0, ↑r < x → ↑r ≤ y) : x ≤ y := by refine le_of_forall_ge_of_dense fun r hr => ?_ lift r to ℝ≥0 using ne_top_of_lt hr exact h r hr #align ennreal.le_of_forall_nnreal_lt ENNReal.le_of_forall_nnreal_lt theorem le_of_forall_pos_nnreal_lt {x y : ℝ≥0∞} (h : ∀ r : ℝ≥0, 0 < r → ↑r < x → ↑r ≤ y) : x ≤ y := le_of_forall_nnreal_lt fun r hr => (zero_le r).eq_or_lt.elim (fun h => h ▸ zero_le _) fun h0 => h r h0 hr #align ennreal.le_of_forall_pos_nnreal_lt ENNReal.le_of_forall_pos_nnreal_lt theorem eq_top_of_forall_nnreal_le {x : ℝ≥0∞} (h : ∀ r : ℝ≥0, ↑r ≤ x) : x = ∞ := top_unique <| le_of_forall_nnreal_lt fun r _ => h r #align ennreal.eq_top_of_forall_nnreal_le ENNReal.eq_top_of_forall_nnreal_le protected theorem add_div : (a + b) / c = a / c + b / c := right_distrib a b c⁻¹ #align ennreal.add_div ENNReal.add_div protected theorem div_add_div_same {a b c : ℝ≥0∞} : a / c + b / c = (a + b) / c := ENNReal.add_div.symm #align ennreal.div_add_div_same ENNReal.div_add_div_same protected theorem div_self (h0 : a ≠ 0) (hI : a ≠ ∞) : a / a = 1 := ENNReal.mul_inv_cancel h0 hI #align ennreal.div_self ENNReal.div_self theorem mul_div_le : a * (b / a) ≤ b := mul_le_of_le_div' le_rfl #align ennreal.mul_div_le ENNReal.mul_div_le theorem eq_div_iff (ha : a ≠ 0) (ha' : a ≠ ∞) : b = c / a ↔ a * b = c := ⟨fun h => by rw [h, ENNReal.mul_div_cancel' ha ha'], fun h => by rw [← h, mul_div_assoc, ENNReal.mul_div_cancel' ha ha']⟩ #align ennreal.eq_div_iff ENNReal.eq_div_iff protected theorem div_eq_div_iff (ha : a ≠ 0) (ha' : a ≠ ∞) (hb : b ≠ 0) (hb' : b ≠ ∞) : c / b = d / a ↔ a * c = b * d := by rw [eq_div_iff ha ha'] conv_rhs => rw [eq_comm] rw [← eq_div_iff hb hb', mul_div_assoc, eq_comm] #align ennreal.div_eq_div_iff ENNReal.div_eq_div_iff theorem div_eq_one_iff {a b : ℝ≥0∞} (hb₀ : b ≠ 0) (hb₁ : b ≠ ∞) : a / b = 1 ↔ a = b := ⟨fun h => by rw [← (eq_div_iff hb₀ hb₁).mp h.symm, mul_one], fun h => h.symm ▸ ENNReal.div_self hb₀ hb₁⟩ #align ennreal.div_eq_one_iff ENNReal.div_eq_one_iff
Mathlib/Data/ENNReal/Inv.lean
451
452
theorem inv_two_add_inv_two : (2 : ℝ≥0∞)⁻¹ + 2⁻¹ = 1 := by
rw [← two_mul, ← div_eq_mul_inv, ENNReal.div_self two_ne_zero two_ne_top]
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Fintype.Fin import Mathlib.GroupTheory.GroupAction.Pi import Mathlib.Logic.Equiv.Fin #align_import algebra.big_operators.fin from "leanprover-community/mathlib"@"cc5dd6244981976cc9da7afc4eee5682b037a013" open Finset variable {α : Type*} {β : Type*} namespace Fin @[to_additive] theorem prod_ofFn [CommMonoid β] {n : ℕ} (f : Fin n → β) : (List.ofFn f).prod = ∏ i, f i := by simp [prod_eq_multiset_prod] #align fin.prod_of_fn Fin.prod_ofFn #align fin.sum_of_fn Fin.sum_ofFn @[to_additive] theorem prod_univ_def [CommMonoid β] {n : ℕ} (f : Fin n → β) : ∏ i, f i = ((List.finRange n).map f).prod := by rw [← List.ofFn_eq_map, prod_ofFn] #align fin.prod_univ_def Fin.prod_univ_def #align fin.sum_univ_def Fin.sum_univ_def @[to_additive "A sum of a function `f : Fin 0 → β` is `0` because `Fin 0` is empty"] theorem prod_univ_zero [CommMonoid β] (f : Fin 0 → β) : ∏ i, f i = 1 := rfl #align fin.prod_univ_zero Fin.prod_univ_zero #align fin.sum_univ_zero Fin.sum_univ_zero @[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of `f x`, for some `x : Fin (n + 1)` plus the remaining product"] theorem prod_univ_succAbove [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) (x : Fin (n + 1)) : ∏ i, f i = f x * ∏ i : Fin n, f (x.succAbove i) := by rw [univ_succAbove, prod_cons, Finset.prod_map _ x.succAboveEmb] rfl #align fin.prod_univ_succ_above Fin.prod_univ_succAbove #align fin.sum_univ_succ_above Fin.sum_univ_succAbove @[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of `f 0` plus the remaining product"] theorem prod_univ_succ [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) : ∏ i, f i = f 0 * ∏ i : Fin n, f i.succ := prod_univ_succAbove f 0 #align fin.prod_univ_succ Fin.prod_univ_succ #align fin.sum_univ_succ Fin.sum_univ_succ @[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of `f (Fin.last n)` plus the remaining sum"] theorem prod_univ_castSucc [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) : ∏ i, f i = (∏ i : Fin n, f (Fin.castSucc i)) * f (last n) := by simpa [mul_comm] using prod_univ_succAbove f (last n) #align fin.prod_univ_cast_succ Fin.prod_univ_castSucc #align fin.sum_univ_cast_succ Fin.sum_univ_castSucc @[to_additive (attr := simp)] theorem prod_univ_get [CommMonoid α] (l : List α) : ∏ i, l.get i = l.prod := by simp [Finset.prod_eq_multiset_prod] @[to_additive (attr := simp)] theorem prod_univ_get' [CommMonoid β] (l : List α) (f : α → β) : ∏ i, f (l.get i) = (l.map f).prod := by simp [Finset.prod_eq_multiset_prod] @[to_additive] theorem prod_cons [CommMonoid β] {n : ℕ} (x : β) (f : Fin n → β) : (∏ i : Fin n.succ, (cons x f : Fin n.succ → β) i) = x * ∏ i : Fin n, f i := by simp_rw [prod_univ_succ, cons_zero, cons_succ] #align fin.prod_cons Fin.prod_cons #align fin.sum_cons Fin.sum_cons @[to_additive sum_univ_one] theorem prod_univ_one [CommMonoid β] (f : Fin 1 → β) : ∏ i, f i = f 0 := by simp #align fin.prod_univ_one Fin.prod_univ_one #align fin.sum_univ_one Fin.sum_univ_one @[to_additive (attr := simp)] theorem prod_univ_two [CommMonoid β] (f : Fin 2 → β) : ∏ i, f i = f 0 * f 1 := by simp [prod_univ_succ] #align fin.prod_univ_two Fin.prod_univ_two #align fin.sum_univ_two Fin.sum_univ_two @[to_additive] theorem prod_univ_two' [CommMonoid β] (f : α → β) (a b : α) : ∏ i, f (![a, b] i) = f a * f b := prod_univ_two _ @[to_additive] theorem prod_univ_three [CommMonoid β] (f : Fin 3 → β) : ∏ i, f i = f 0 * f 1 * f 2 := by rw [prod_univ_castSucc, prod_univ_two] rfl #align fin.prod_univ_three Fin.prod_univ_three #align fin.sum_univ_three Fin.sum_univ_three @[to_additive] theorem prod_univ_four [CommMonoid β] (f : Fin 4 → β) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 := by rw [prod_univ_castSucc, prod_univ_three] rfl #align fin.prod_univ_four Fin.prod_univ_four #align fin.sum_univ_four Fin.sum_univ_four @[to_additive] theorem prod_univ_five [CommMonoid β] (f : Fin 5 → β) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 := by rw [prod_univ_castSucc, prod_univ_four] rfl #align fin.prod_univ_five Fin.prod_univ_five #align fin.sum_univ_five Fin.sum_univ_five @[to_additive] theorem prod_univ_six [CommMonoid β] (f : Fin 6 → β) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 := by rw [prod_univ_castSucc, prod_univ_five] rfl #align fin.prod_univ_six Fin.prod_univ_six #align fin.sum_univ_six Fin.sum_univ_six @[to_additive] theorem prod_univ_seven [CommMonoid β] (f : Fin 7 → β) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 := by rw [prod_univ_castSucc, prod_univ_six] rfl #align fin.prod_univ_seven Fin.prod_univ_seven #align fin.sum_univ_seven Fin.sum_univ_seven @[to_additive] theorem prod_univ_eight [CommMonoid β] (f : Fin 8 → β) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 * f 7 := by rw [prod_univ_castSucc, prod_univ_seven] rfl #align fin.prod_univ_eight Fin.prod_univ_eight #align fin.sum_univ_eight Fin.sum_univ_eight theorem sum_pow_mul_eq_add_pow {n : ℕ} {R : Type*} [CommSemiring R] (a b : R) : (∑ s : Finset (Fin n), a ^ s.card * b ^ (n - s.card)) = (a + b) ^ n := by simpa using Fintype.sum_pow_mul_eq_add_pow (Fin n) a b #align fin.sum_pow_mul_eq_add_pow Fin.sum_pow_mul_eq_add_pow theorem prod_const [CommMonoid α] (n : ℕ) (x : α) : ∏ _i : Fin n, x = x ^ n := by simp #align fin.prod_const Fin.prod_const theorem sum_const [AddCommMonoid α] (n : ℕ) (x : α) : ∑ _i : Fin n, x = n • x := by simp #align fin.sum_const Fin.sum_const @[to_additive] theorem prod_Ioi_zero {M : Type*} [CommMonoid M] {n : ℕ} {v : Fin n.succ → M} : ∏ i ∈ Ioi 0, v i = ∏ j : Fin n, v j.succ := by rw [Ioi_zero_eq_map, Finset.prod_map, val_succEmb] #align fin.prod_Ioi_zero Fin.prod_Ioi_zero #align fin.sum_Ioi_zero Fin.sum_Ioi_zero @[to_additive] theorem prod_Ioi_succ {M : Type*} [CommMonoid M] {n : ℕ} (i : Fin n) (v : Fin n.succ → M) : ∏ j ∈ Ioi i.succ, v j = ∏ j ∈ Ioi i, v j.succ := by rw [Ioi_succ, Finset.prod_map, val_succEmb] #align fin.prod_Ioi_succ Fin.prod_Ioi_succ #align fin.sum_Ioi_succ Fin.sum_Ioi_succ @[to_additive] theorem prod_congr' {M : Type*} [CommMonoid M] {a b : ℕ} (f : Fin b → M) (h : a = b) : (∏ i : Fin a, f (cast h i)) = ∏ i : Fin b, f i := by subst h congr #align fin.prod_congr' Fin.prod_congr' #align fin.sum_congr' Fin.sum_congr' @[to_additive] theorem prod_univ_add {M : Type*} [CommMonoid M] {a b : ℕ} (f : Fin (a + b) → M) : (∏ i : Fin (a + b), f i) = (∏ i : Fin a, f (castAdd b i)) * ∏ i : Fin b, f (natAdd a i) := by rw [Fintype.prod_equiv finSumFinEquiv.symm f fun i => f (finSumFinEquiv.toFun i)] · apply Fintype.prod_sum_type · intro x simp only [Equiv.toFun_as_coe, Equiv.apply_symm_apply] #align fin.prod_univ_add Fin.prod_univ_add #align fin.sum_univ_add Fin.sum_univ_add @[to_additive] theorem prod_trunc {M : Type*} [CommMonoid M] {a b : ℕ} (f : Fin (a + b) → M) (hf : ∀ j : Fin b, f (natAdd a j) = 1) : (∏ i : Fin (a + b), f i) = ∏ i : Fin a, f (castLE (Nat.le.intro rfl) i) := by rw [prod_univ_add, Fintype.prod_eq_one _ hf, mul_one] rfl #align fin.prod_trunc Fin.prod_trunc #align fin.sum_trunc Fin.sum_trunc section PartialProd variable [Monoid α] {n : ℕ} @[to_additive "For `f = (a₁, ..., aₙ)` in `αⁿ`, `partialSum f` is\n `(0, a₁, a₁ + a₂, ..., a₁ + ... + aₙ)` in `αⁿ⁺¹`."] def partialProd (f : Fin n → α) (i : Fin (n + 1)) : α := ((List.ofFn f).take i).prod #align fin.partial_prod Fin.partialProd #align fin.partial_sum Fin.partialSum @[to_additive (attr := simp)] theorem partialProd_zero (f : Fin n → α) : partialProd f 0 = 1 := by simp [partialProd] #align fin.partial_prod_zero Fin.partialProd_zero #align fin.partial_sum_zero Fin.partialSum_zero @[to_additive]
Mathlib/Algebra/BigOperators/Fin.lean
244
246
theorem partialProd_succ (f : Fin n → α) (j : Fin n) : partialProd f j.succ = partialProd f (Fin.castSucc j) * f j := by
simp [partialProd, List.take_succ, List.ofFnNthVal, dif_pos j.is_lt]
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]
Mathlib/Algebra/Order/ToIntervalMod.lean
143
144
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
import Mathlib.Analysis.Calculus.FormalMultilinearSeries import Mathlib.Analysis.SpecificLimits.Normed import Mathlib.Logic.Equiv.Fin import Mathlib.Topology.Algebra.InfiniteSum.Module #align_import analysis.analytic.basic from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" noncomputable section variable {𝕜 E F G : Type*} open scoped Classical open Topology NNReal Filter ENNReal open Set Filter Asymptotics variable [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedAddCommGroup G] [NormedSpace 𝕜 G] namespace FormalMultilinearSeries variable (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0} def radius (p : FormalMultilinearSeries 𝕜 E F) : ℝ≥0∞ := ⨆ (r : ℝ≥0) (C : ℝ) (_ : ∀ n, ‖p n‖ * (r : ℝ) ^ n ≤ C), (r : ℝ≥0∞) #align formal_multilinear_series.radius FormalMultilinearSeries.radius theorem le_radius_of_bound (C : ℝ) {r : ℝ≥0} (h : ∀ n : ℕ, ‖p n‖ * (r : ℝ) ^ n ≤ C) : (r : ℝ≥0∞) ≤ p.radius := le_iSup_of_le r <| le_iSup_of_le C <| le_iSup (fun _ => (r : ℝ≥0∞)) h #align formal_multilinear_series.le_radius_of_bound FormalMultilinearSeries.le_radius_of_bound theorem le_radius_of_bound_nnreal (C : ℝ≥0) {r : ℝ≥0} (h : ∀ n : ℕ, ‖p n‖₊ * r ^ n ≤ C) : (r : ℝ≥0∞) ≤ p.radius := p.le_radius_of_bound C fun n => mod_cast h n #align formal_multilinear_series.le_radius_of_bound_nnreal FormalMultilinearSeries.le_radius_of_bound_nnreal theorem le_radius_of_isBigO (h : (fun n => ‖p n‖ * (r : ℝ) ^ n) =O[atTop] fun _ => (1 : ℝ)) : ↑r ≤ p.radius := Exists.elim (isBigO_one_nat_atTop_iff.1 h) fun C hC => p.le_radius_of_bound C fun n => (le_abs_self _).trans (hC n) set_option linter.uppercaseLean3 false in #align formal_multilinear_series.le_radius_of_is_O FormalMultilinearSeries.le_radius_of_isBigO theorem le_radius_of_eventually_le (C) (h : ∀ᶠ n in atTop, ‖p n‖ * (r : ℝ) ^ n ≤ C) : ↑r ≤ p.radius := p.le_radius_of_isBigO <| IsBigO.of_bound C <| h.mono fun n hn => by simpa #align formal_multilinear_series.le_radius_of_eventually_le FormalMultilinearSeries.le_radius_of_eventually_le theorem le_radius_of_summable_nnnorm (h : Summable fun n => ‖p n‖₊ * r ^ n) : ↑r ≤ p.radius := p.le_radius_of_bound_nnreal (∑' n, ‖p n‖₊ * r ^ n) fun _ => le_tsum' h _ #align formal_multilinear_series.le_radius_of_summable_nnnorm FormalMultilinearSeries.le_radius_of_summable_nnnorm theorem le_radius_of_summable (h : Summable fun n => ‖p n‖ * (r : ℝ) ^ n) : ↑r ≤ p.radius := p.le_radius_of_summable_nnnorm <| by simp only [← coe_nnnorm] at h exact mod_cast h #align formal_multilinear_series.le_radius_of_summable FormalMultilinearSeries.le_radius_of_summable theorem radius_eq_top_of_forall_nnreal_isBigO (h : ∀ r : ℝ≥0, (fun n => ‖p n‖ * (r : ℝ) ^ n) =O[atTop] fun _ => (1 : ℝ)) : p.radius = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => p.le_radius_of_isBigO (h r) set_option linter.uppercaseLean3 false in #align formal_multilinear_series.radius_eq_top_of_forall_nnreal_is_O FormalMultilinearSeries.radius_eq_top_of_forall_nnreal_isBigO theorem radius_eq_top_of_eventually_eq_zero (h : ∀ᶠ n in atTop, p n = 0) : p.radius = ∞ := p.radius_eq_top_of_forall_nnreal_isBigO fun r => (isBigO_zero _ _).congr' (h.mono fun n hn => by simp [hn]) EventuallyEq.rfl #align formal_multilinear_series.radius_eq_top_of_eventually_eq_zero FormalMultilinearSeries.radius_eq_top_of_eventually_eq_zero theorem radius_eq_top_of_forall_image_add_eq_zero (n : ℕ) (hn : ∀ m, p (m + n) = 0) : p.radius = ∞ := p.radius_eq_top_of_eventually_eq_zero <| mem_atTop_sets.2 ⟨n, fun _ hk => tsub_add_cancel_of_le hk ▸ hn _⟩ #align formal_multilinear_series.radius_eq_top_of_forall_image_add_eq_zero FormalMultilinearSeries.radius_eq_top_of_forall_image_add_eq_zero @[simp] theorem constFormalMultilinearSeries_radius {v : F} : (constFormalMultilinearSeries 𝕜 E v).radius = ⊤ := (constFormalMultilinearSeries 𝕜 E v).radius_eq_top_of_forall_image_add_eq_zero 1 (by simp [constFormalMultilinearSeries]) #align formal_multilinear_series.const_formal_multilinear_series_radius FormalMultilinearSeries.constFormalMultilinearSeries_radius theorem isLittleO_of_lt_radius (h : ↑r < p.radius) : ∃ a ∈ Ioo (0 : ℝ) 1, (fun n => ‖p n‖ * (r : ℝ) ^ n) =o[atTop] (a ^ ·) := by have := (TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 1 4 rw [this] -- Porting note: was -- rw [(TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 1 4] simp only [radius, lt_iSup_iff] at h rcases h with ⟨t, C, hC, rt⟩ rw [ENNReal.coe_lt_coe, ← NNReal.coe_lt_coe] at rt have : 0 < (t : ℝ) := r.coe_nonneg.trans_lt rt rw [← div_lt_one this] at rt refine ⟨_, rt, C, Or.inr zero_lt_one, fun n => ?_⟩ calc |‖p n‖ * (r : ℝ) ^ n| = ‖p n‖ * (t : ℝ) ^ n * (r / t : ℝ) ^ n := by field_simp [mul_right_comm, abs_mul] _ ≤ C * (r / t : ℝ) ^ n := by gcongr; apply hC #align formal_multilinear_series.is_o_of_lt_radius FormalMultilinearSeries.isLittleO_of_lt_radius theorem isLittleO_one_of_lt_radius (h : ↑r < p.radius) : (fun n => ‖p n‖ * (r : ℝ) ^ n) =o[atTop] (fun _ => 1 : ℕ → ℝ) := let ⟨_, ha, hp⟩ := p.isLittleO_of_lt_radius h hp.trans <| (isLittleO_pow_pow_of_lt_left ha.1.le ha.2).congr (fun _ => rfl) one_pow #align formal_multilinear_series.is_o_one_of_lt_radius FormalMultilinearSeries.isLittleO_one_of_lt_radius theorem norm_mul_pow_le_mul_pow_of_lt_radius (h : ↑r < p.radius) : ∃ a ∈ Ioo (0 : ℝ) 1, ∃ C > 0, ∀ n, ‖p n‖ * (r : ℝ) ^ n ≤ C * a ^ n := by -- Porting note: moved out of `rcases` have := ((TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 1 5).mp (p.isLittleO_of_lt_radius h) rcases this with ⟨a, ha, C, hC, H⟩ exact ⟨a, ha, C, hC, fun n => (le_abs_self _).trans (H n)⟩ #align formal_multilinear_series.norm_mul_pow_le_mul_pow_of_lt_radius FormalMultilinearSeries.norm_mul_pow_le_mul_pow_of_lt_radius theorem lt_radius_of_isBigO (h₀ : r ≠ 0) {a : ℝ} (ha : a ∈ Ioo (-1 : ℝ) 1) (hp : (fun n => ‖p n‖ * (r : ℝ) ^ n) =O[atTop] (a ^ ·)) : ↑r < p.radius := by -- Porting note: moved out of `rcases` have := ((TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 2 5) rcases this.mp ⟨a, ha, hp⟩ with ⟨a, ha, C, hC, hp⟩ rw [← pos_iff_ne_zero, ← NNReal.coe_pos] at h₀ lift a to ℝ≥0 using ha.1.le have : (r : ℝ) < r / a := by simpa only [div_one] using (div_lt_div_left h₀ zero_lt_one ha.1).2 ha.2 norm_cast at this rw [← ENNReal.coe_lt_coe] at this refine this.trans_le (p.le_radius_of_bound C fun n => ?_) rw [NNReal.coe_div, div_pow, ← mul_div_assoc, div_le_iff (pow_pos ha.1 n)] exact (le_abs_self _).trans (hp n) set_option linter.uppercaseLean3 false in #align formal_multilinear_series.lt_radius_of_is_O FormalMultilinearSeries.lt_radius_of_isBigO theorem norm_mul_pow_le_of_lt_radius (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0} (h : (r : ℝ≥0∞) < p.radius) : ∃ C > 0, ∀ n, ‖p n‖ * (r : ℝ) ^ n ≤ C := let ⟨_, ha, C, hC, h⟩ := p.norm_mul_pow_le_mul_pow_of_lt_radius h ⟨C, hC, fun n => (h n).trans <| mul_le_of_le_one_right hC.lt.le (pow_le_one _ ha.1.le ha.2.le)⟩ #align formal_multilinear_series.norm_mul_pow_le_of_lt_radius FormalMultilinearSeries.norm_mul_pow_le_of_lt_radius theorem norm_le_div_pow_of_pos_of_lt_radius (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0} (h0 : 0 < r) (h : (r : ℝ≥0∞) < p.radius) : ∃ C > 0, ∀ n, ‖p n‖ ≤ C / (r : ℝ) ^ n := let ⟨C, hC, hp⟩ := p.norm_mul_pow_le_of_lt_radius h ⟨C, hC, fun n => Iff.mpr (le_div_iff (pow_pos h0 _)) (hp n)⟩ #align formal_multilinear_series.norm_le_div_pow_of_pos_of_lt_radius FormalMultilinearSeries.norm_le_div_pow_of_pos_of_lt_radius theorem nnnorm_mul_pow_le_of_lt_radius (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0} (h : (r : ℝ≥0∞) < p.radius) : ∃ C > 0, ∀ n, ‖p n‖₊ * r ^ n ≤ C := let ⟨C, hC, hp⟩ := p.norm_mul_pow_le_of_lt_radius h ⟨⟨C, hC.lt.le⟩, hC, mod_cast hp⟩ #align formal_multilinear_series.nnnorm_mul_pow_le_of_lt_radius FormalMultilinearSeries.nnnorm_mul_pow_le_of_lt_radius theorem le_radius_of_tendsto (p : FormalMultilinearSeries 𝕜 E F) {l : ℝ} (h : Tendsto (fun n => ‖p n‖ * (r : ℝ) ^ n) atTop (𝓝 l)) : ↑r ≤ p.radius := p.le_radius_of_isBigO (h.isBigO_one _) #align formal_multilinear_series.le_radius_of_tendsto FormalMultilinearSeries.le_radius_of_tendsto theorem le_radius_of_summable_norm (p : FormalMultilinearSeries 𝕜 E F) (hs : Summable fun n => ‖p n‖ * (r : ℝ) ^ n) : ↑r ≤ p.radius := p.le_radius_of_tendsto hs.tendsto_atTop_zero #align formal_multilinear_series.le_radius_of_summable_norm FormalMultilinearSeries.le_radius_of_summable_norm theorem not_summable_norm_of_radius_lt_nnnorm (p : FormalMultilinearSeries 𝕜 E F) {x : E} (h : p.radius < ‖x‖₊) : ¬Summable fun n => ‖p n‖ * ‖x‖ ^ n := fun hs => not_le_of_lt h (p.le_radius_of_summable_norm hs) #align formal_multilinear_series.not_summable_norm_of_radius_lt_nnnorm FormalMultilinearSeries.not_summable_norm_of_radius_lt_nnnorm theorem summable_norm_mul_pow (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0} (h : ↑r < p.radius) : Summable fun n : ℕ => ‖p n‖ * (r : ℝ) ^ n := by obtain ⟨a, ha : a ∈ Ioo (0 : ℝ) 1, C, - : 0 < C, hp⟩ := p.norm_mul_pow_le_mul_pow_of_lt_radius h exact .of_nonneg_of_le (fun n => mul_nonneg (norm_nonneg _) (pow_nonneg r.coe_nonneg _)) hp ((summable_geometric_of_lt_one ha.1.le ha.2).mul_left _) #align formal_multilinear_series.summable_norm_mul_pow FormalMultilinearSeries.summable_norm_mul_pow theorem summable_norm_apply (p : FormalMultilinearSeries 𝕜 E F) {x : E} (hx : x ∈ EMetric.ball (0 : E) p.radius) : Summable fun n : ℕ => ‖p n fun _ => x‖ := by rw [mem_emetric_ball_zero_iff] at hx refine .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun n ↦ ((p n).le_opNorm _).trans_eq ?_) (p.summable_norm_mul_pow hx) simp #align formal_multilinear_series.summable_norm_apply FormalMultilinearSeries.summable_norm_apply theorem summable_nnnorm_mul_pow (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0} (h : ↑r < p.radius) : Summable fun n : ℕ => ‖p n‖₊ * r ^ n := by rw [← NNReal.summable_coe] push_cast exact p.summable_norm_mul_pow h #align formal_multilinear_series.summable_nnnorm_mul_pow FormalMultilinearSeries.summable_nnnorm_mul_pow protected theorem summable [CompleteSpace F] (p : FormalMultilinearSeries 𝕜 E F) {x : E} (hx : x ∈ EMetric.ball (0 : E) p.radius) : Summable fun n : ℕ => p n fun _ => x := (p.summable_norm_apply hx).of_norm #align formal_multilinear_series.summable FormalMultilinearSeries.summable theorem radius_eq_top_of_summable_norm (p : FormalMultilinearSeries 𝕜 E F) (hs : ∀ r : ℝ≥0, Summable fun n => ‖p n‖ * (r : ℝ) ^ n) : p.radius = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => p.le_radius_of_summable_norm (hs r) #align formal_multilinear_series.radius_eq_top_of_summable_norm FormalMultilinearSeries.radius_eq_top_of_summable_norm theorem radius_eq_top_iff_summable_norm (p : FormalMultilinearSeries 𝕜 E F) : p.radius = ∞ ↔ ∀ r : ℝ≥0, Summable fun n => ‖p n‖ * (r : ℝ) ^ n := by constructor · intro h r obtain ⟨a, ha : a ∈ Ioo (0 : ℝ) 1, C, - : 0 < C, hp⟩ := p.norm_mul_pow_le_mul_pow_of_lt_radius (show (r : ℝ≥0∞) < p.radius from h.symm ▸ ENNReal.coe_lt_top) refine .of_norm_bounded (fun n ↦ (C : ℝ) * a ^ n) ((summable_geometric_of_lt_one ha.1.le ha.2).mul_left _) fun n ↦ ?_ specialize hp n rwa [Real.norm_of_nonneg (mul_nonneg (norm_nonneg _) (pow_nonneg r.coe_nonneg n))] · exact p.radius_eq_top_of_summable_norm #align formal_multilinear_series.radius_eq_top_iff_summable_norm FormalMultilinearSeries.radius_eq_top_iff_summable_norm
Mathlib/Analysis/Analytic/Basic.lean
323
331
theorem le_mul_pow_of_radius_pos (p : FormalMultilinearSeries 𝕜 E F) (h : 0 < p.radius) : ∃ (C r : _) (hC : 0 < C) (_ : 0 < r), ∀ n, ‖p n‖ ≤ C * r ^ n := by
rcases ENNReal.lt_iff_exists_nnreal_btwn.1 h with ⟨r, r0, rlt⟩ have rpos : 0 < (r : ℝ) := by simp [ENNReal.coe_pos.1 r0] rcases norm_le_div_pow_of_pos_of_lt_radius p rpos rlt with ⟨C, Cpos, hCp⟩ refine ⟨C, r⁻¹, Cpos, by simp only [inv_pos, rpos], fun n => ?_⟩ -- Porting note: was `convert` rw [inv_pow, ← div_eq_mul_inv] exact hCp n
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)]
Mathlib/CategoryTheory/Limits/ConcreteCategory.lean
76
83
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⟩
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}
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
628
637
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]
import Mathlib.MeasureTheory.Covering.DensityTheorem #align_import measure_theory.covering.liminf_limsup from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" open Set Filter Metric MeasureTheory TopologicalSpace open scoped NNReal ENNReal Topology variable {α : Type*} [MetricSpace α] [SecondCountableTopology α] [MeasurableSpace α] [BorelSpace α] variable (μ : Measure α) [IsLocallyFiniteMeasure μ] [IsUnifLocDoublingMeasure μ] theorem blimsup_cthickening_ae_le_of_eventually_mul_le_aux (p : ℕ → Prop) {s : ℕ → Set α} (hs : ∀ i, IsClosed (s i)) {r₁ r₂ : ℕ → ℝ} (hr : Tendsto r₁ atTop (𝓝[>] 0)) (hrp : 0 ≤ r₁) {M : ℝ} (hM : 0 < M) (hM' : M < 1) (hMr : ∀ᶠ i in atTop, M * r₁ i ≤ r₂ i) : (blimsup (fun i => cthickening (r₁ i) (s i)) atTop p : Set α) ≤ᵐ[μ] (blimsup (fun i => cthickening (r₂ i) (s i)) atTop p : Set α) := by set Y₁ : ℕ → Set α := fun i => cthickening (r₁ i) (s i) set Y₂ : ℕ → Set α := fun i => cthickening (r₂ i) (s i) let Z : ℕ → Set α := fun i => ⋃ (j) (_ : p j ∧ i ≤ j), Y₂ j suffices ∀ i, μ (atTop.blimsup Y₁ p \ Z i) = 0 by rwa [ae_le_set, @blimsup_eq_iInf_biSup_of_nat _ _ _ Y₂, iInf_eq_iInter, diff_iInter, measure_iUnion_null_iff] intros i set W := atTop.blimsup Y₁ p \ Z i by_contra contra obtain ⟨d, hd, hd'⟩ : ∃ d, d ∈ W ∧ ∀ {ι : Type _} {l : Filter ι} (w : ι → α) (δ : ι → ℝ), Tendsto δ l (𝓝[>] 0) → (∀ᶠ j in l, d ∈ closedBall (w j) (2 * δ j)) → Tendsto (fun j => μ (W ∩ closedBall (w j) (δ j)) / μ (closedBall (w j) (δ j))) l (𝓝 1) := Measure.exists_mem_of_measure_ne_zero_of_ae contra (IsUnifLocDoublingMeasure.ae_tendsto_measure_inter_div μ W 2) replace hd : d ∈ blimsup Y₁ atTop p := ((mem_diff _).mp hd).1 obtain ⟨f : ℕ → ℕ, hf⟩ := exists_forall_mem_of_hasBasis_mem_blimsup' atTop_basis hd simp only [forall_and] at hf obtain ⟨hf₀ : ∀ j, d ∈ cthickening (r₁ (f j)) (s (f j)), hf₁, hf₂ : ∀ j, j ≤ f j⟩ := hf have hf₃ : Tendsto f atTop atTop := tendsto_atTop_atTop.mpr fun j => ⟨f j, fun i hi => (hf₂ j).trans (hi.trans <| hf₂ i)⟩ replace hr : Tendsto (r₁ ∘ f) atTop (𝓝[>] 0) := hr.comp hf₃ replace hMr : ∀ᶠ j in atTop, M * r₁ (f j) ≤ r₂ (f j) := hf₃.eventually hMr replace hf₀ : ∀ j, ∃ w ∈ s (f j), d ∈ closedBall w (2 * r₁ (f j)) := by intro j specialize hrp (f j) rw [Pi.zero_apply] at hrp rcases eq_or_lt_of_le hrp with (hr0 | hrp') · specialize hf₀ j rw [← hr0, cthickening_zero, (hs (f j)).closure_eq] at hf₀ exact ⟨d, hf₀, by simp [← hr0]⟩ · simpa using mem_iUnion₂.mp (cthickening_subset_iUnion_closedBall_of_lt (s (f j)) (by positivity) (lt_two_mul_self hrp') (hf₀ j)) choose w hw hw' using hf₀ let C := IsUnifLocDoublingMeasure.scalingConstantOf μ M⁻¹ have hC : 0 < C := lt_of_lt_of_le zero_lt_one (IsUnifLocDoublingMeasure.one_le_scalingConstantOf μ M⁻¹) suffices ∃ η < (1 : ℝ≥0), ∀ᶠ j in atTop, μ (W ∩ closedBall (w j) (r₁ (f j))) / μ (closedBall (w j) (r₁ (f j))) ≤ η by obtain ⟨η, hη, hη'⟩ := this replace hη' : 1 ≤ η := by simpa only [ENNReal.one_le_coe_iff] using le_of_tendsto (hd' w (fun j => r₁ (f j)) hr <| eventually_of_forall hw') hη' exact (lt_self_iff_false _).mp (lt_of_lt_of_le hη hη') refine ⟨1 - C⁻¹, tsub_lt_self zero_lt_one (inv_pos.mpr hC), ?_⟩ replace hC : C ≠ 0 := ne_of_gt hC let b : ℕ → Set α := fun j => closedBall (w j) (M * r₁ (f j)) let B : ℕ → Set α := fun j => closedBall (w j) (r₁ (f j)) have h₁ : ∀ j, b j ⊆ B j := fun j => closedBall_subset_closedBall (mul_le_of_le_one_left (hrp (f j)) hM'.le) have h₂ : ∀ j, W ∩ B j ⊆ B j := fun j => inter_subset_right have h₃ : ∀ᶠ j in atTop, Disjoint (b j) (W ∩ B j) := by apply hMr.mp rw [eventually_atTop] refine ⟨i, fun j hj hj' => Disjoint.inf_right (B j) <| Disjoint.inf_right' (blimsup Y₁ atTop p) ?_⟩ change Disjoint (b j) (Z i)ᶜ rw [disjoint_compl_right_iff_subset] refine (closedBall_subset_cthickening (hw j) (M * r₁ (f j))).trans ((cthickening_mono hj' _).trans fun a ha => ?_) simp only [Z, mem_iUnion, exists_prop] exact ⟨f j, ⟨hf₁ j, hj.le.trans (hf₂ j)⟩, ha⟩ have h₄ : ∀ᶠ j in atTop, μ (B j) ≤ C * μ (b j) := (hr.eventually (IsUnifLocDoublingMeasure.eventually_measure_le_scaling_constant_mul' μ M hM)).mono fun j hj => hj (w j) refine (h₃.and h₄).mono fun j hj₀ => ?_ change μ (W ∩ B j) / μ (B j) ≤ ↑(1 - C⁻¹) rcases eq_or_ne (μ (B j)) ∞ with (hB | hB); · simp [hB] apply ENNReal.div_le_of_le_mul rw [ENNReal.coe_sub, ENNReal.coe_one, ENNReal.sub_mul fun _ _ => hB, one_mul] replace hB : ↑C⁻¹ * μ (B j) ≠ ∞ := by refine ENNReal.mul_ne_top ?_ hB rwa [ENNReal.coe_inv hC, Ne, ENNReal.inv_eq_top, ENNReal.coe_eq_zero] obtain ⟨hj₁ : Disjoint (b j) (W ∩ B j), hj₂ : μ (B j) ≤ C * μ (b j)⟩ := hj₀ replace hj₂ : ↑C⁻¹ * μ (B j) ≤ μ (b j) := by rw [ENNReal.coe_inv hC, ← ENNReal.div_eq_inv_mul] exact ENNReal.div_le_of_le_mul' hj₂ have hj₃ : ↑C⁻¹ * μ (B j) + μ (W ∩ B j) ≤ μ (B j) := by refine le_trans (add_le_add_right hj₂ _) ?_ rw [← measure_union' hj₁ measurableSet_closedBall] exact measure_mono (union_subset (h₁ j) (h₂ j)) replace hj₃ := tsub_le_tsub_right hj₃ (↑C⁻¹ * μ (B j)) rwa [ENNReal.add_sub_cancel_left hB] at hj₃ #align blimsup_cthickening_ae_le_of_eventually_mul_le_aux blimsup_cthickening_ae_le_of_eventually_mul_le_aux theorem blimsup_cthickening_ae_le_of_eventually_mul_le (p : ℕ → Prop) {s : ℕ → Set α} {M : ℝ} (hM : 0 < M) {r₁ r₂ : ℕ → ℝ} (hr : Tendsto r₁ atTop (𝓝[>] 0)) (hMr : ∀ᶠ i in atTop, M * r₁ i ≤ r₂ i) : (blimsup (fun i => cthickening (r₁ i) (s i)) atTop p : Set α) ≤ᵐ[μ] (blimsup (fun i => cthickening (r₂ i) (s i)) atTop p : Set α) := by let R₁ i := max 0 (r₁ i) let R₂ i := max 0 (r₂ i) have hRp : 0 ≤ R₁ := fun i => le_max_left 0 (r₁ i) replace hMr : ∀ᶠ i in atTop, M * R₁ i ≤ R₂ i := by refine hMr.mono fun i hi ↦ ?_ rw [mul_max_of_nonneg _ _ hM.le, mul_zero] exact max_le_max (le_refl 0) hi simp_rw [← cthickening_max_zero (r₁ _), ← cthickening_max_zero (r₂ _)] rcases le_or_lt 1 M with hM' | hM' · apply HasSubset.Subset.eventuallyLE change _ ≤ _ refine mono_blimsup' (hMr.mono fun i hi _ => cthickening_mono ?_ (s i)) exact (le_mul_of_one_le_left (hRp i) hM').trans hi · simp only [← @cthickening_closure _ _ _ (s _)] have hs : ∀ i, IsClosed (closure (s i)) := fun i => isClosed_closure exact blimsup_cthickening_ae_le_of_eventually_mul_le_aux μ p hs (tendsto_nhds_max_right hr) hRp hM hM' hMr #align blimsup_cthickening_ae_le_of_eventually_mul_le blimsup_cthickening_ae_le_of_eventually_mul_le theorem blimsup_cthickening_mul_ae_eq (p : ℕ → Prop) (s : ℕ → Set α) {M : ℝ} (hM : 0 < M) (r : ℕ → ℝ) (hr : Tendsto r atTop (𝓝 0)) : (blimsup (fun i => cthickening (M * r i) (s i)) atTop p : Set α) =ᵐ[μ] (blimsup (fun i => cthickening (r i) (s i)) atTop p : Set α) := by have : ∀ (p : ℕ → Prop) {r : ℕ → ℝ} (_ : Tendsto r atTop (𝓝[>] 0)), (blimsup (fun i => cthickening (M * r i) (s i)) atTop p : Set α) =ᵐ[μ] (blimsup (fun i => cthickening (r i) (s i)) atTop p : Set α) := by clear p hr r; intro p r hr have hr' : Tendsto (fun i => M * r i) atTop (𝓝[>] 0) := by convert TendstoNhdsWithinIoi.const_mul hM hr <;> simp only [mul_zero] refine eventuallyLE_antisymm_iff.mpr ⟨?_, ?_⟩ · exact blimsup_cthickening_ae_le_of_eventually_mul_le μ p (inv_pos.mpr hM) hr' (eventually_of_forall fun i => by rw [inv_mul_cancel_left₀ hM.ne' (r i)]) · exact blimsup_cthickening_ae_le_of_eventually_mul_le μ p hM hr (eventually_of_forall fun i => le_refl _) let r' : ℕ → ℝ := fun i => if 0 < r i then r i else 1 / ((i : ℝ) + 1) have hr' : Tendsto r' atTop (𝓝[>] 0) := by refine tendsto_nhdsWithin_iff.mpr ⟨Tendsto.if' hr tendsto_one_div_add_atTop_nhds_zero_nat, eventually_of_forall fun i => ?_⟩ by_cases hi : 0 < r i · simp [r', hi] · simp only [r', hi, one_div, mem_Ioi, if_false, inv_pos]; positivity have h₀ : ∀ i, p i ∧ 0 < r i → cthickening (r i) (s i) = cthickening (r' i) (s i) := by rintro i ⟨-, hi⟩; congr! 1; change r i = ite (0 < r i) (r i) _; simp [hi] have h₁ : ∀ i, p i ∧ 0 < r i → cthickening (M * r i) (s i) = cthickening (M * r' i) (s i) := by rintro i ⟨-, hi⟩; simp only [r', hi, mul_ite, if_true] have h₂ : ∀ i, p i ∧ r i ≤ 0 → cthickening (M * r i) (s i) = cthickening (r i) (s i) := by rintro i ⟨-, hi⟩ have hi' : M * r i ≤ 0 := mul_nonpos_of_nonneg_of_nonpos hM.le hi rw [cthickening_of_nonpos hi, cthickening_of_nonpos hi'] have hp : p = fun i => p i ∧ 0 < r i ∨ p i ∧ r i ≤ 0 := by ext i; simp [← and_or_left, lt_or_le 0 (r i)] rw [hp, blimsup_or_eq_sup, blimsup_or_eq_sup] simp only [sup_eq_union] rw [blimsup_congr (eventually_of_forall h₀), blimsup_congr (eventually_of_forall h₁), blimsup_congr (eventually_of_forall h₂)] exact ae_eq_set_union (this (fun i => p i ∧ 0 < r i) hr') (ae_eq_refl _) #align blimsup_cthickening_mul_ae_eq blimsup_cthickening_mul_ae_eq theorem blimsup_cthickening_ae_eq_blimsup_thickening {p : ℕ → Prop} {s : ℕ → Set α} {r : ℕ → ℝ} (hr : Tendsto r atTop (𝓝 0)) (hr' : ∀ᶠ i in atTop, p i → 0 < r i) : (blimsup (fun i => cthickening (r i) (s i)) atTop p : Set α) =ᵐ[μ] (blimsup (fun i => thickening (r i) (s i)) atTop p : Set α) := by refine eventuallyLE_antisymm_iff.mpr ⟨?_, HasSubset.Subset.eventuallyLE (?_ : _ ≤ _)⟩ · rw [eventuallyLE_congr (blimsup_cthickening_mul_ae_eq μ p s (@one_half_pos ℝ _) r hr).symm EventuallyEq.rfl] apply HasSubset.Subset.eventuallyLE change _ ≤ _ refine mono_blimsup' (hr'.mono fun i hi pi => cthickening_subset_thickening' (hi pi) ?_ (s i)) nlinarith [hi pi] · exact mono_blimsup fun i _ => thickening_subset_cthickening _ _ #align blimsup_cthickening_ae_eq_blimsup_thickening blimsup_cthickening_ae_eq_blimsup_thickening
Mathlib/MeasureTheory/Covering/LiminfLimsup.lean
247
256
theorem blimsup_thickening_mul_ae_eq_aux (p : ℕ → Prop) (s : ℕ → Set α) {M : ℝ} (hM : 0 < M) (r : ℕ → ℝ) (hr : Tendsto r atTop (𝓝 0)) (hr' : ∀ᶠ i in atTop, p i → 0 < r i) : (blimsup (fun i => thickening (M * r i) (s i)) atTop p : Set α) =ᵐ[μ] (blimsup (fun i => thickening (r i) (s i)) atTop p : Set α) := by
have h₁ := blimsup_cthickening_ae_eq_blimsup_thickening (s := s) μ hr hr' have h₂ := blimsup_cthickening_mul_ae_eq μ p s hM r hr replace hr : Tendsto (fun i => M * r i) atTop (𝓝 0) := by convert hr.const_mul M; simp replace hr' : ∀ᶠ i in atTop, p i → 0 < M * r i := hr'.mono fun i hi hip ↦ mul_pos hM (hi hip) have h₃ := blimsup_cthickening_ae_eq_blimsup_thickening (s := s) μ hr hr' exact h₃.symm.trans (h₂.trans h₁)
import Mathlib.Analysis.NormedSpace.BoundedLinearMaps import Mathlib.Topology.FiberBundle.Basic #align_import topology.vector_bundle.basic from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" noncomputable section open scoped Classical open Bundle Set open scoped Topology variable (R : Type*) {B : Type*} (F : Type*) (E : B → Type*) section TopologicalVectorSpace variable {F E} variable [Semiring R] [TopologicalSpace F] [TopologicalSpace B] protected class Pretrivialization.IsLinear [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] (e : Pretrivialization F (π F E)) : Prop where linear : ∀ b ∈ e.baseSet, IsLinearMap R fun x : E b => (e ⟨b, x⟩).2 #align pretrivialization.is_linear Pretrivialization.IsLinear namespace Pretrivialization variable (e : Pretrivialization F (π F E)) {x : TotalSpace F E} {b : B} {y : E b} theorem linear [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : IsLinearMap R fun x : E b => (e ⟨b, x⟩).2 := Pretrivialization.IsLinear.linear b hb #align pretrivialization.linear Pretrivialization.linear variable [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] @[simps!] protected def symmₗ (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : F →ₗ[R] E b := by refine IsLinearMap.mk' (e.symm b) ?_ by_cases hb : b ∈ e.baseSet · exact (((e.linear R hb).mk' _).inverse (e.symm b) (e.symm_apply_apply_mk hb) fun v ↦ congr_arg Prod.snd <| e.apply_mk_symm hb v).isLinear · rw [e.coe_symm_of_not_mem hb] exact (0 : F →ₗ[R] E b).isLinear #align pretrivialization.symmₗ Pretrivialization.symmₗ @[simps (config := .asFn)] def linearEquivAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) (hb : b ∈ e.baseSet) : E b ≃ₗ[R] F where toFun y := (e ⟨b, y⟩).2 invFun := e.symm b left_inv := e.symm_apply_apply_mk hb right_inv v := by simp_rw [e.apply_mk_symm hb v] map_add' v w := (e.linear R hb).map_add v w map_smul' c v := (e.linear R hb).map_smul c v #align pretrivialization.linear_equiv_at Pretrivialization.linearEquivAt protected def linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : E b →ₗ[R] F := if hb : b ∈ e.baseSet then e.linearEquivAt R b hb else 0 #align pretrivialization.linear_map_at Pretrivialization.linearMapAt variable {R} theorem coe_linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : ⇑(e.linearMapAt R b) = fun y => if b ∈ e.baseSet then (e ⟨b, y⟩).2 else 0 := by rw [Pretrivialization.linearMapAt] split_ifs <;> rfl #align pretrivialization.coe_linear_map_at Pretrivialization.coe_linearMapAt theorem coe_linearMapAt_of_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : ⇑(e.linearMapAt R b) = fun y => (e ⟨b, y⟩).2 := by simp_rw [coe_linearMapAt, if_pos hb] #align pretrivialization.coe_linear_map_at_of_mem Pretrivialization.coe_linearMapAt_of_mem theorem linearMapAt_apply (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (y : E b) : e.linearMapAt R b y = if b ∈ e.baseSet then (e ⟨b, y⟩).2 else 0 := by rw [coe_linearMapAt] #align pretrivialization.linear_map_at_apply Pretrivialization.linearMapAt_apply theorem linearMapAt_def_of_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : e.linearMapAt R b = e.linearEquivAt R b hb := dif_pos hb #align pretrivialization.linear_map_at_def_of_mem Pretrivialization.linearMapAt_def_of_mem theorem linearMapAt_def_of_not_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∉ e.baseSet) : e.linearMapAt R b = 0 := dif_neg hb #align pretrivialization.linear_map_at_def_of_not_mem Pretrivialization.linearMapAt_def_of_not_mem theorem linearMapAt_eq_zero (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∉ e.baseSet) : e.linearMapAt R b = 0 := dif_neg hb #align pretrivialization.linear_map_at_eq_zero Pretrivialization.linearMapAt_eq_zero theorem symmₗ_linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) (y : E b) : e.symmₗ R b (e.linearMapAt R b y) = y := by rw [e.linearMapAt_def_of_mem hb] exact (e.linearEquivAt R b hb).left_inv y #align pretrivialization.symmₗ_linear_map_at Pretrivialization.symmₗ_linearMapAt
Mathlib/Topology/VectorBundle/Basic.lean
157
160
theorem linearMapAt_symmₗ (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) (y : F) : e.linearMapAt R b (e.symmₗ R b y) = y := by
rw [e.linearMapAt_def_of_mem hb] exact (e.linearEquivAt R b hb).right_inv y
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2)) theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two theorem cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle x (x + y)) = ‖x‖ / ‖x + y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.cos_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two theorem cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x + y) y) = ‖y‖ / ‖x + y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).cos_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two theorem sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle x (x + y)) = ‖y‖ / ‖x + y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.sin_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two theorem sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x + y) y) = ‖x‖ / ‖x + y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).sin_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two theorem tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle x (x + y)) = ‖y‖ / ‖x‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.tan_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two theorem tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x + y) y) = ‖x‖ / ‖y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).tan_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two theorem cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle x (x + y)) * ‖x + y‖ = ‖x‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two theorem cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x + y) y) * ‖x + y‖ = ‖y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two theorem sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle x (x + y)) * ‖x + y‖ = ‖y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two theorem sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x + y) y) * ‖x + y‖ = ‖x‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
184
191
theorem tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle x (x + y)) * ‖x‖ = ‖y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
import Mathlib.Algebra.ModEq import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.Archimedean import Mathlib.Algebra.Periodic import Mathlib.Data.Int.SuccPred import Mathlib.GroupTheory.QuotientGroup import Mathlib.Order.Circular import Mathlib.Data.List.TFAE import Mathlib.Data.Set.Lattice #align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" noncomputable section section LinearOrderedAddCommGroup variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p) {a b c : α} {n : ℤ} def toIcoDiv (a b : α) : ℤ := (existsUnique_sub_zsmul_mem_Ico hp b a).choose #align to_Ico_div toIcoDiv theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) := (existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1 #align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) : toIcoDiv hp a b = n := ((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm #align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico def toIocDiv (a b : α) : ℤ := (existsUnique_sub_zsmul_mem_Ioc hp b a).choose #align to_Ioc_div toIocDiv theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) := (existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1 #align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) : toIocDiv hp a b = n := ((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm #align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc def toIcoMod (a b : α) : α := b - toIcoDiv hp a b • p #align to_Ico_mod toIcoMod def toIocMod (a b : α) : α := b - toIocDiv hp a b • p #align to_Ioc_mod toIocMod theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) := sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_mod_mem_Ico toIcoMod_mem_Ico theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by convert toIcoMod_mem_Ico hp 0 b exact (zero_add p).symm #align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico' theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) := sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b := (Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1 #align left_le_to_Ico_mod left_le_toIcoMod theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b := (Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1 #align left_lt_to_Ioc_mod left_lt_toIocMod theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p := (Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2 #align to_Ico_mod_lt_right toIcoMod_lt_right theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p := (Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2 #align to_Ioc_mod_le_right toIocMod_le_right @[simp] theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b := rfl #align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul @[simp] theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b := rfl #align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul @[simp] theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by rw [toIcoMod, neg_sub] #align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self @[simp] theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by rw [toIocMod, neg_sub] #align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self @[simp] theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by rw [toIcoMod, sub_sub_cancel_left, neg_smul] #align to_Ico_mod_sub_self toIcoMod_sub_self @[simp] theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by rw [toIocMod, sub_sub_cancel_left, neg_smul] #align to_Ioc_mod_sub_self toIocMod_sub_self @[simp] theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by rw [toIcoMod, sub_sub_cancel] #align self_sub_to_Ico_mod self_sub_toIcoMod @[simp] theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by rw [toIocMod, sub_sub_cancel] #align self_sub_to_Ioc_mod self_sub_toIocMod @[simp] theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by rw [toIcoMod, sub_add_cancel] #align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul @[simp] theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by rw [toIocMod, sub_add_cancel] #align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul @[simp] theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by rw [add_comm, toIcoMod_add_toIcoDiv_zsmul] #align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod @[simp] theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by rw [add_comm, toIocMod_add_toIocDiv_zsmul] #align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by refine ⟨fun h => ⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩, ?_⟩ simp_rw [← @sub_eq_iff_eq_add] rintro ⟨hc, n, rfl⟩ rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod] #align to_Ico_mod_eq_iff toIcoMod_eq_iff theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by refine ⟨fun h => ⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩, ?_⟩ simp_rw [← @sub_eq_iff_eq_add] rintro ⟨hc, n, rfl⟩ rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod] #align to_Ioc_mod_eq_iff toIocMod_eq_iff @[simp] theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp] #align to_Ico_div_apply_left toIcoDiv_apply_left @[simp] theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp] #align to_Ioc_div_apply_left toIocDiv_apply_left @[simp] theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by rw [toIcoMod_eq_iff hp, Set.left_mem_Ico] exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩ #align to_Ico_mod_apply_left toIcoMod_apply_left @[simp] theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by rw [toIocMod_eq_iff hp, Set.right_mem_Ioc] exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩ #align to_Ioc_mod_apply_left toIocMod_apply_left theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp] #align to_Ico_div_apply_right toIcoDiv_apply_right theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp] #align to_Ioc_div_apply_right toIocDiv_apply_right theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by rw [toIcoMod_eq_iff hp, Set.left_mem_Ico] exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩ #align to_Ico_mod_apply_right toIcoMod_apply_right theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by rw [toIocMod_eq_iff hp, Set.right_mem_Ioc] exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩ #align to_Ioc_mod_apply_right toIocMod_apply_right @[simp] theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_div_add_zsmul toIcoDiv_add_zsmul @[simp] theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) : toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_ rw [sub_smul, ← sub_add, add_right_comm] simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul' @[simp] theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_div_add_zsmul toIocDiv_add_zsmul @[simp] theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) : toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_ rw [sub_smul, ← sub_add, add_right_comm] simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul' @[simp] theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by rw [add_comm, toIcoDiv_add_zsmul, add_comm] #align to_Ico_div_zsmul_add toIcoDiv_zsmul_add @[simp] theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by rw [add_comm, toIocDiv_add_zsmul, add_comm] #align to_Ioc_div_zsmul_add toIocDiv_zsmul_add @[simp] theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg] #align to_Ico_div_sub_zsmul toIcoDiv_sub_zsmul @[simp] theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) : toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add] #align to_Ico_div_sub_zsmul' toIcoDiv_sub_zsmul' @[simp] theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg] #align to_Ioc_div_sub_zsmul toIocDiv_sub_zsmul @[simp] theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) : toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add] #align to_Ioc_div_sub_zsmul' toIocDiv_sub_zsmul' @[simp] theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1 #align to_Ico_div_add_right toIcoDiv_add_right @[simp] theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1 #align to_Ico_div_add_right' toIcoDiv_add_right' @[simp] theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1 #align to_Ioc_div_add_right toIocDiv_add_right @[simp] theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1 #align to_Ioc_div_add_right' toIocDiv_add_right' @[simp] theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by rw [add_comm, toIcoDiv_add_right] #align to_Ico_div_add_left toIcoDiv_add_left @[simp] theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by rw [add_comm, toIcoDiv_add_right'] #align to_Ico_div_add_left' toIcoDiv_add_left' @[simp] theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by rw [add_comm, toIocDiv_add_right] #align to_Ioc_div_add_left toIocDiv_add_left @[simp] theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by rw [add_comm, toIocDiv_add_right'] #align to_Ioc_div_add_left' toIocDiv_add_left' @[simp] theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1 #align to_Ico_div_sub toIcoDiv_sub @[simp] theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1 #align to_Ico_div_sub' toIcoDiv_sub' @[simp] theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1 #align to_Ioc_div_sub toIocDiv_sub @[simp] theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1 #align to_Ioc_div_sub' toIocDiv_sub' theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) : toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by apply toIcoDiv_eq_of_sub_zsmul_mem_Ico rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm] exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b #align to_Ico_div_sub_eq_to_Ico_div_add toIcoDiv_sub_eq_toIcoDiv_add theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) : toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by apply toIocDiv_eq_of_sub_zsmul_mem_Ioc rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm] exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b #align to_Ioc_div_sub_eq_to_Ioc_div_add toIocDiv_sub_eq_toIocDiv_add theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) : toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg] #align to_Ico_div_sub_eq_to_Ico_div_add' toIcoDiv_sub_eq_toIcoDiv_add' theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) : toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg] #align to_Ioc_div_sub_eq_to_Ioc_div_add' toIocDiv_sub_eq_toIocDiv_add' theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this rw [← neg_eq_iff_eq_neg, eq_comm] apply toIocDiv_eq_of_sub_zsmul_mem_Ioc obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b) rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc refine ⟨ho, hc.trans_eq ?_⟩ rw [neg_add, neg_add_cancel_right] #align to_Ico_div_neg toIcoDiv_neg theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b) #align to_Ico_div_neg' toIcoDiv_neg' theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right] #align to_Ioc_div_neg toIocDiv_neg
Mathlib/Algebra/Order/ToIntervalMod.lean
402
403
theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b)
import Mathlib.Algebra.CharP.Two import Mathlib.Algebra.CharP.Reduced import Mathlib.Algebra.NeZero import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.GroupTheory.SpecificGroups.Cyclic import Mathlib.NumberTheory.Divisors import Mathlib.RingTheory.IntegralDomain import Mathlib.Tactic.Zify #align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" open scoped Classical Polynomial noncomputable section open Polynomial open Finset variable {M N G R S F : Type*} variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G] section rootsOfUnity variable {k l : ℕ+} def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where carrier := {ζ | ζ ^ (k : ℕ) = 1} one_mem' := one_pow _ mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul] inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one] #align roots_of_unity rootsOfUnity @[simp] theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 := Iff.rfl #align mem_roots_of_unity mem_rootsOfUnity theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by rw [mem_rootsOfUnity]; norm_cast #align mem_roots_of_unity' mem_rootsOfUnity' @[simp] theorem rootsOfUnity_one (M : Type*) [CommMonoid M] : rootsOfUnity 1 M = ⊥ := by ext; simp theorem rootsOfUnity.coe_injective {n : ℕ+} : Function.Injective (fun x : rootsOfUnity n M ↦ x.val.val) := Units.ext.comp fun _ _ => Subtype.eq #align roots_of_unity.coe_injective rootsOfUnity.coe_injective @[simps! coe_val] def rootsOfUnity.mkOfPowEq (ζ : M) {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : rootsOfUnity n M := ⟨Units.ofPowEqOne ζ n h n.ne_zero, Units.pow_ofPowEqOne _ _⟩ #align roots_of_unity.mk_of_pow_eq rootsOfUnity.mkOfPowEq #align roots_of_unity.mk_of_pow_eq_coe_coe rootsOfUnity.val_mkOfPowEq_coe @[simp] theorem rootsOfUnity.coe_mkOfPowEq {ζ : M} {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : ((rootsOfUnity.mkOfPowEq _ h : Mˣ) : M) = ζ := rfl #align roots_of_unity.coe_mk_of_pow_eq rootsOfUnity.coe_mkOfPowEq theorem rootsOfUnity_le_of_dvd (h : k ∣ l) : rootsOfUnity k M ≤ rootsOfUnity l M := by obtain ⟨d, rfl⟩ := h intro ζ h simp_all only [mem_rootsOfUnity, PNat.mul_coe, pow_mul, one_pow] #align roots_of_unity_le_of_dvd rootsOfUnity_le_of_dvd theorem map_rootsOfUnity (f : Mˣ →* Nˣ) (k : ℕ+) : (rootsOfUnity k M).map f ≤ rootsOfUnity k N := by rintro _ ⟨ζ, h, rfl⟩ simp_all only [← map_pow, mem_rootsOfUnity, SetLike.mem_coe, MonoidHom.map_one] #align map_roots_of_unity map_rootsOfUnity @[norm_cast] theorem rootsOfUnity.coe_pow [CommMonoid R] (ζ : rootsOfUnity k R) (m : ℕ) : (((ζ ^ m :) : Rˣ) : R) = ((ζ : Rˣ) : R) ^ m := by rw [Subgroup.coe_pow, Units.val_pow_eq_pow_val] #align roots_of_unity.coe_pow rootsOfUnity.coe_pow @[mk_iff IsPrimitiveRoot.iff_def] structure IsPrimitiveRoot (ζ : M) (k : ℕ) : Prop where pow_eq_one : ζ ^ (k : ℕ) = 1 dvd_of_pow_eq_one : ∀ l : ℕ, ζ ^ l = 1 → k ∣ l #align is_primitive_root IsPrimitiveRoot #align is_primitive_root.iff_def IsPrimitiveRoot.iff_def @[simps!] def IsPrimitiveRoot.toRootsOfUnity {μ : M} {n : ℕ+} (h : IsPrimitiveRoot μ n) : rootsOfUnity n M := rootsOfUnity.mkOfPowEq μ h.pow_eq_one #align is_primitive_root.to_roots_of_unity IsPrimitiveRoot.toRootsOfUnity #align is_primitive_root.coe_to_roots_of_unity_coe IsPrimitiveRoot.val_toRootsOfUnity_coe #align is_primitive_root.coe_inv_to_roots_of_unity_coe IsPrimitiveRoot.val_inv_toRootsOfUnity_coe namespace IsPrimitiveRoot variable {k l : ℕ} theorem mk_of_lt (ζ : M) (hk : 0 < k) (h1 : ζ ^ k = 1) (h : ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1) : IsPrimitiveRoot ζ k := by refine ⟨h1, fun l hl => ?_⟩ suffices k.gcd l = k by exact this ▸ k.gcd_dvd_right l rw [eq_iff_le_not_lt] refine ⟨Nat.le_of_dvd hk (k.gcd_dvd_left l), ?_⟩ intro h'; apply h _ (Nat.gcd_pos_of_pos_left _ hk) h' exact pow_gcd_eq_one _ h1 hl #align is_primitive_root.mk_of_lt IsPrimitiveRoot.mk_of_lt section CommMonoid variable {ζ : M} {f : F} (h : IsPrimitiveRoot ζ k) @[nontriviality] theorem of_subsingleton [Subsingleton M] (x : M) : IsPrimitiveRoot x 1 := ⟨Subsingleton.elim _ _, fun _ _ => one_dvd _⟩ #align is_primitive_root.of_subsingleton IsPrimitiveRoot.of_subsingleton theorem pow_eq_one_iff_dvd (l : ℕ) : ζ ^ l = 1 ↔ k ∣ l := ⟨h.dvd_of_pow_eq_one l, by rintro ⟨i, rfl⟩; simp only [pow_mul, h.pow_eq_one, one_pow, PNat.mul_coe]⟩ #align is_primitive_root.pow_eq_one_iff_dvd IsPrimitiveRoot.pow_eq_one_iff_dvd theorem isUnit (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) : IsUnit ζ := by apply isUnit_of_mul_eq_one ζ (ζ ^ (k - 1)) rw [← pow_succ', tsub_add_cancel_of_le h0.nat_succ_le, h.pow_eq_one] #align is_primitive_root.is_unit IsPrimitiveRoot.isUnit theorem pow_ne_one_of_pos_of_lt (h0 : 0 < l) (hl : l < k) : ζ ^ l ≠ 1 := mt (Nat.le_of_dvd h0 ∘ h.dvd_of_pow_eq_one _) <| not_le_of_lt hl #align is_primitive_root.pow_ne_one_of_pos_of_lt IsPrimitiveRoot.pow_ne_one_of_pos_of_lt theorem ne_one (hk : 1 < k) : ζ ≠ 1 := h.pow_ne_one_of_pos_of_lt zero_lt_one hk ∘ (pow_one ζ).trans #align is_primitive_root.ne_one IsPrimitiveRoot.ne_one theorem pow_inj (h : IsPrimitiveRoot ζ k) ⦃i j : ℕ⦄ (hi : i < k) (hj : j < k) (H : ζ ^ i = ζ ^ j) : i = j := by wlog hij : i ≤ j generalizing i j · exact (this hj hi H.symm (le_of_not_le hij)).symm apply le_antisymm hij rw [← tsub_eq_zero_iff_le] apply Nat.eq_zero_of_dvd_of_lt _ (lt_of_le_of_lt tsub_le_self hj) apply h.dvd_of_pow_eq_one rw [← ((h.isUnit (lt_of_le_of_lt (Nat.zero_le _) hi)).pow i).mul_left_inj, ← pow_add, tsub_add_cancel_of_le hij, H, one_mul] #align is_primitive_root.pow_inj IsPrimitiveRoot.pow_inj theorem one : IsPrimitiveRoot (1 : M) 1 := { pow_eq_one := pow_one _ dvd_of_pow_eq_one := fun _ _ => one_dvd _ } #align is_primitive_root.one IsPrimitiveRoot.one @[simp]
Mathlib/RingTheory/RootsOfUnity/Basic.lean
390
394
theorem one_right_iff : IsPrimitiveRoot ζ 1 ↔ ζ = 1 := by
clear h constructor · intro h; rw [← pow_one ζ, h.pow_eq_one] · rintro rfl; exact one
import Mathlib.Order.Filter.EventuallyConst import Mathlib.Order.PartialSups import Mathlib.Algebra.Module.Submodule.IterateMapComap import Mathlib.RingTheory.OrzechProperty import Mathlib.RingTheory.Nilpotent.Lemmas #align_import ring_theory.noetherian from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90" open Set Filter Pointwise -- Porting note: should this be renamed to `Noetherian`? class IsNoetherian (R M) [Semiring R] [AddCommMonoid M] [Module R M] : Prop where noetherian : ∀ s : Submodule R M, s.FG #align is_noetherian IsNoetherian attribute [inherit_doc IsNoetherian] IsNoetherian.noetherian section variable {R : Type*} {M : Type*} {P : Type*} variable [Semiring R] [AddCommMonoid M] [AddCommMonoid P] variable [Module R M] [Module R P] open IsNoetherian theorem isNoetherian_def : IsNoetherian R M ↔ ∀ s : Submodule R M, s.FG := ⟨fun h => h.noetherian, IsNoetherian.mk⟩ #align is_noetherian_def isNoetherian_def theorem isNoetherian_submodule {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, s ≤ N → s.FG := by refine ⟨fun ⟨hn⟩ => fun s hs => have : s ≤ LinearMap.range N.subtype := N.range_subtype.symm ▸ hs Submodule.map_comap_eq_self this ▸ (hn _).map _, fun h => ⟨fun s => ?_⟩⟩ have f := (Submodule.equivMapOfInjective N.subtype Subtype.val_injective s).symm have h₁ := h (s.map N.subtype) (Submodule.map_subtype_le N s) have h₂ : (⊤ : Submodule R (s.map N.subtype)).map f = ⊤ := by simp have h₃ := ((Submodule.fg_top _).2 h₁).map (↑f : _ →ₗ[R] s) exact (Submodule.fg_top _).1 (h₂ ▸ h₃) #align is_noetherian_submodule isNoetherian_submodule theorem isNoetherian_submodule_left {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, (N ⊓ s).FG := isNoetherian_submodule.trans ⟨fun H _ => H _ inf_le_left, fun H _ hs => inf_of_le_right hs ▸ H _⟩ #align is_noetherian_submodule_left isNoetherian_submodule_left theorem isNoetherian_submodule_right {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, (s ⊓ N).FG := isNoetherian_submodule.trans ⟨fun H _ => H _ inf_le_right, fun H _ hs => inf_of_le_left hs ▸ H _⟩ #align is_noetherian_submodule_right isNoetherian_submodule_right instance isNoetherian_submodule' [IsNoetherian R M] (N : Submodule R M) : IsNoetherian R N := isNoetherian_submodule.2 fun _ _ => IsNoetherian.noetherian _ #align is_noetherian_submodule' isNoetherian_submodule' theorem isNoetherian_of_le {s t : Submodule R M} [ht : IsNoetherian R t] (h : s ≤ t) : IsNoetherian R s := isNoetherian_submodule.mpr fun _ hs' => isNoetherian_submodule.mp ht _ (le_trans hs' h) #align is_noetherian_of_le isNoetherian_of_le variable (M) theorem isNoetherian_of_surjective (f : M →ₗ[R] P) (hf : LinearMap.range f = ⊤) [IsNoetherian R M] : IsNoetherian R P := ⟨fun s => have : (s.comap f).map f = s := Submodule.map_comap_eq_self <| hf.symm ▸ le_top this ▸ (noetherian _).map _⟩ #align is_noetherian_of_surjective isNoetherian_of_surjective variable {M} instance isNoetherian_quotient {R} [Ring R] {M} [AddCommGroup M] [Module R M] (N : Submodule R M) [IsNoetherian R M] : IsNoetherian R (M ⧸ N) := isNoetherian_of_surjective _ _ (LinearMap.range_eq_top.mpr N.mkQ_surjective) #align submodule.quotient.is_noetherian isNoetherian_quotient @[deprecated (since := "2024-04-27"), nolint defLemma] alias Submodule.Quotient.isNoetherian := isNoetherian_quotient theorem isNoetherian_of_linearEquiv (f : M ≃ₗ[R] P) [IsNoetherian R M] : IsNoetherian R P := isNoetherian_of_surjective _ f.toLinearMap f.range #align is_noetherian_of_linear_equiv isNoetherian_of_linearEquiv theorem isNoetherian_top_iff : IsNoetherian R (⊤ : Submodule R M) ↔ IsNoetherian R M := by constructor <;> intro h · exact isNoetherian_of_linearEquiv (LinearEquiv.ofTop (⊤ : Submodule R M) rfl) · exact isNoetherian_of_linearEquiv (LinearEquiv.ofTop (⊤ : Submodule R M) rfl).symm #align is_noetherian_top_iff isNoetherian_top_iff theorem isNoetherian_of_injective [IsNoetherian R P] (f : M →ₗ[R] P) (hf : Function.Injective f) : IsNoetherian R M := isNoetherian_of_linearEquiv (LinearEquiv.ofInjective f hf).symm #align is_noetherian_of_injective isNoetherian_of_injective theorem fg_of_injective [IsNoetherian R P] {N : Submodule R M} (f : M →ₗ[R] P) (hf : Function.Injective f) : N.FG := haveI := isNoetherian_of_injective f hf IsNoetherian.noetherian N #align fg_of_injective fg_of_injective end section variable {R : Type*} {M : Type*} {P : Type*} variable [Ring R] [AddCommGroup M] [AddCommGroup P] variable [Module R M] [Module R P] open IsNoetherian theorem isNoetherian_of_ker_bot [IsNoetherian R P] (f : M →ₗ[R] P) (hf : LinearMap.ker f = ⊥) : IsNoetherian R M := isNoetherian_of_linearEquiv (LinearEquiv.ofInjective f <| LinearMap.ker_eq_bot.mp hf).symm #align is_noetherian_of_ker_bot isNoetherian_of_ker_bot theorem fg_of_ker_bot [IsNoetherian R P] {N : Submodule R M} (f : M →ₗ[R] P) (hf : LinearMap.ker f = ⊥) : N.FG := haveI := isNoetherian_of_ker_bot f hf IsNoetherian.noetherian N #align fg_of_ker_bot fg_of_ker_bot instance isNoetherian_prod [IsNoetherian R M] [IsNoetherian R P] : IsNoetherian R (M × P) := ⟨fun s => Submodule.fg_of_fg_map_of_fg_inf_ker (LinearMap.snd R M P) (noetherian _) <| have : s ⊓ LinearMap.ker (LinearMap.snd R M P) ≤ LinearMap.range (LinearMap.inl R M P) := fun x ⟨_, hx2⟩ => ⟨x.1, Prod.ext rfl <| Eq.symm <| LinearMap.mem_ker.1 hx2⟩ Submodule.map_comap_eq_self this ▸ (noetherian _).map _⟩ #align is_noetherian_prod isNoetherian_prod instance isNoetherian_pi {R ι : Type*} {M : ι → Type*} [Ring R] [∀ i, AddCommGroup (M i)] [∀ i, Module R (M i)] [Finite ι] [∀ i, IsNoetherian R (M i)] : IsNoetherian R (∀ i, M i) := by cases nonempty_fintype ι haveI := Classical.decEq ι suffices on_finset : ∀ s : Finset ι, IsNoetherian R (∀ i : s, M i) by let coe_e := Equiv.subtypeUnivEquiv <| @Finset.mem_univ ι _ letI : IsNoetherian R (∀ i : Finset.univ, M (coe_e i)) := on_finset Finset.univ exact isNoetherian_of_linearEquiv (LinearEquiv.piCongrLeft R M coe_e) intro s induction' s using Finset.induction with a s has ih · exact ⟨fun s => by have : s = ⊥ := by simp only [eq_iff_true_of_subsingleton] rw [this] apply Submodule.fg_bot⟩ refine @isNoetherian_of_linearEquiv R (M a × ((i : s) → M i)) _ _ _ _ _ _ ?_ <| @isNoetherian_prod R (M a) _ _ _ _ _ _ _ ih refine { toFun := fun f i => (Finset.mem_insert.1 i.2).by_cases (fun h : i.1 = a => show M i.1 from Eq.recOn h.symm f.1) (fun h : i.1 ∈ s => show M i.1 from f.2 ⟨i.1, h⟩), invFun := fun f => (f ⟨a, Finset.mem_insert_self _ _⟩, fun i => f ⟨i.1, Finset.mem_insert_of_mem i.2⟩), map_add' := ?_, map_smul' := ?_ left_inv := ?_, right_inv := ?_ } · intro f g ext i unfold Or.by_cases cases' i with i hi rcases Finset.mem_insert.1 hi with (rfl | h) · change _ = _ + _ simp only [dif_pos] rfl · change _ = _ + _ have : ¬i = a := by rintro rfl exact has h simp only [dif_neg this, dif_pos h] rfl · intro c f ext i unfold Or.by_cases cases' i with i hi rcases Finset.mem_insert.1 hi with (rfl | h) · dsimp simp only [dif_pos] · dsimp have : ¬i = a := by rintro rfl exact has h simp only [dif_neg this, dif_pos h] · intro f apply Prod.ext · simp only [Or.by_cases, dif_pos] · ext ⟨i, his⟩ have : ¬i = a := by rintro rfl exact has his simp only [Or.by_cases, this, not_false_iff, dif_neg] · intro f ext ⟨i, hi⟩ rcases Finset.mem_insert.1 hi with (rfl | h) · simp only [Or.by_cases, dif_pos] · have : ¬i = a := by rintro rfl exact has h simp only [Or.by_cases, dif_neg this, dif_pos h] #align is_noetherian_pi isNoetherian_pi instance isNoetherian_pi' {R ι M : Type*} [Ring R] [AddCommGroup M] [Module R M] [Finite ι] [IsNoetherian R M] : IsNoetherian R (ι → M) := isNoetherian_pi #align is_noetherian_pi' isNoetherian_pi' end open IsNoetherian Submodule Function section universe w variable {R M P : Type*} {N : Type w} [Semiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N] [AddCommMonoid P] [Module R P] theorem isNoetherian_iff_wellFounded : IsNoetherian R M ↔ WellFounded ((· > ·) : Submodule R M → Submodule R M → Prop) := by have := (CompleteLattice.wellFounded_characterisations <| Submodule R M).out 0 3 -- Porting note: inlining this makes rw complain about it being a metavariable rw [this] exact ⟨fun ⟨h⟩ => fun k => (fg_iff_compact k).mp (h k), fun h => ⟨fun k => (fg_iff_compact k).mpr (h k)⟩⟩ #align is_noetherian_iff_well_founded isNoetherian_iff_wellFounded theorem isNoetherian_iff_fg_wellFounded : IsNoetherian R M ↔ WellFounded ((· > ·) : { N : Submodule R M // N.FG } → { N : Submodule R M // N.FG } → Prop) := by let α := { N : Submodule R M // N.FG } constructor · intro H let f : α ↪o Submodule R M := OrderEmbedding.subtype _ exact OrderEmbedding.wellFounded f.dual (isNoetherian_iff_wellFounded.mp H) · intro H constructor intro N obtain ⟨⟨N₀, h₁⟩, e : N₀ ≤ N, h₂⟩ := WellFounded.has_min H { N' : α | N'.1 ≤ N } ⟨⟨⊥, Submodule.fg_bot⟩, @bot_le _ _ _ N⟩ convert h₁ refine (e.antisymm ?_).symm by_contra h₃ obtain ⟨x, hx₁ : x ∈ N, hx₂ : x ∉ N₀⟩ := Set.not_subset.mp h₃ apply hx₂ rw [eq_of_le_of_not_lt (le_sup_right : N₀ ≤ _) (h₂ ⟨_, Submodule.FG.sup ⟨{x}, by rw [Finset.coe_singleton]⟩ h₁⟩ <| sup_le ((Submodule.span_singleton_le_iff_mem _ _).mpr hx₁) e)] exact (le_sup_left : (R ∙ x) ≤ _) (Submodule.mem_span_singleton_self _) #align is_noetherian_iff_fg_well_founded isNoetherian_iff_fg_wellFounded variable (R M) theorem wellFounded_submodule_gt (R M) [Semiring R] [AddCommMonoid M] [Module R M] : ∀ [IsNoetherian R M], WellFounded ((· > ·) : Submodule R M → Submodule R M → Prop) := isNoetherian_iff_wellFounded.mp ‹_› #align well_founded_submodule_gt wellFounded_submodule_gt variable {R M} theorem set_has_maximal_iff_noetherian : (∀ a : Set <| Submodule R M, a.Nonempty → ∃ M' ∈ a, ∀ I ∈ a, ¬M' < I) ↔ IsNoetherian R M := by rw [isNoetherian_iff_wellFounded, WellFounded.wellFounded_iff_has_min] #align set_has_maximal_iff_noetherian set_has_maximal_iff_noetherian theorem monotone_stabilizes_iff_noetherian : (∀ f : ℕ →o Submodule R M, ∃ n, ∀ m, n ≤ m → f n = f m) ↔ IsNoetherian R M := by rw [isNoetherian_iff_wellFounded, WellFounded.monotone_chain_condition] #align monotone_stabilizes_iff_noetherian monotone_stabilizes_iff_noetherian theorem eventuallyConst_of_isNoetherian [IsNoetherian R M] (f : ℕ →o Submodule R M) : atTop.EventuallyConst f := by simp_rw [eventuallyConst_atTop, eq_comm] exact (monotone_stabilizes_iff_noetherian.mpr inferInstance) f theorem IsNoetherian.induction [IsNoetherian R M] {P : Submodule R M → Prop} (hgt : ∀ I, (∀ J > I, P J) → P I) (I : Submodule R M) : P I := WellFounded.recursion (wellFounded_submodule_gt R M) I hgt #align is_noetherian.induction IsNoetherian.induction end section universe w variable {R M P : Type*} {N : Type w} [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P] [IsNoetherian R M] lemma Submodule.finite_ne_bot_of_independent {ι : Type*} {N : ι → Submodule R M} (h : CompleteLattice.Independent N) : Set.Finite {i | N i ≠ ⊥} := CompleteLattice.WellFounded.finite_ne_bot_of_independent (isNoetherian_iff_wellFounded.mp inferInstance) h theorem LinearIndependent.finite_of_isNoetherian [Nontrivial R] {ι} {v : ι → M} (hv : LinearIndependent R v) : Finite ι := by have hwf := isNoetherian_iff_wellFounded.mp (by infer_instance : IsNoetherian R M) refine CompleteLattice.WellFounded.finite_of_independent hwf hv.independent_span_singleton fun i contra => ?_ apply hv.ne_zero i have : v i ∈ R ∙ v i := Submodule.mem_span_singleton_self (v i) rwa [contra, Submodule.mem_bot] at this #align linear_independent.finite_of_is_noetherian LinearIndependent.finite_of_isNoetherian theorem LinearIndependent.set_finite_of_isNoetherian [Nontrivial R] {s : Set M} (hi : LinearIndependent R ((↑) : s → M)) : s.Finite := @Set.toFinite _ _ hi.finite_of_isNoetherian #align linear_independent.set_finite_of_is_noetherian LinearIndependent.set_finite_of_isNoetherian @[deprecated] alias finite_of_linearIndependent := LinearIndependent.set_finite_of_isNoetherian #align finite_of_linear_independent LinearIndependent.set_finite_of_isNoetherian theorem isNoetherian_of_range_eq_ker [IsNoetherian R P] (f : M →ₗ[R] N) (g : N →ₗ[R] P) (h : LinearMap.range f = LinearMap.ker g) : IsNoetherian R N := isNoetherian_iff_wellFounded.2 <| wellFounded_gt_exact_sequence (wellFounded_submodule_gt R _) (wellFounded_submodule_gt R _) (LinearMap.range f) (Submodule.map (f.ker.liftQ f <| le_rfl)) (Submodule.comap (f.ker.liftQ f <| le_rfl)) (Submodule.comap g.rangeRestrict) (Submodule.map g.rangeRestrict) (Submodule.gciMapComap <| LinearMap.ker_eq_bot.mp <| Submodule.ker_liftQ_eq_bot _ _ _ (le_refl _)) (Submodule.giMapComap g.surjective_rangeRestrict) (by simp [Submodule.map_comap_eq, inf_comm, Submodule.range_liftQ]) (by simp [Submodule.comap_map_eq, h]) #align is_noetherian_of_range_eq_ker isNoetherian_of_range_eq_ker
Mathlib/RingTheory/Noetherian.lean
438
448
theorem LinearMap.eventually_disjoint_ker_pow_range_pow (f : M →ₗ[R] M) : ∀ᶠ n in atTop, Disjoint (LinearMap.ker (f ^ n)) (LinearMap.range (f ^ n)) := by
obtain ⟨n, hn : ∀ m, n ≤ m → LinearMap.ker (f ^ n) = LinearMap.ker (f ^ m)⟩ := monotone_stabilizes_iff_noetherian.mpr inferInstance f.iterateKer refine eventually_atTop.mpr ⟨n, fun m hm ↦ disjoint_iff.mpr ?_⟩ rw [← hn _ hm, Submodule.eq_bot_iff] rintro - ⟨hx, ⟨x, rfl⟩⟩ apply LinearMap.pow_map_zero_of_le hm replace hx : x ∈ LinearMap.ker (f ^ (n + m)) := by simpa [f.pow_apply n, f.pow_apply m, ← f.pow_apply (n + m), ← iterate_add_apply] using hx rwa [← hn _ (n.le_add_right m)] at hx
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h] #align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis variable {R} -- Can't be a `simp` lemma because it depends on a choice of basis theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) : trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl #align algebra.trace_eq_matrix_trace Algebra.trace_eq_matrix_trace theorem trace_algebraMap_of_basis (x : R) : trace R S (algebraMap R S x) = Fintype.card ι • x := by haveI := Classical.decEq ι rw [trace_apply, LinearMap.trace_eq_matrix_trace R b, Matrix.trace] convert Finset.sum_const x simp [-coe_lmul_eq_mul] #align algebra.trace_algebra_map_of_basis Algebra.trace_algebraMap_of_basis @[simp] theorem trace_algebraMap (x : K) : trace K L (algebraMap K L x) = finrank K L • x := by by_cases H : ∃ s : Finset L, Nonempty (Basis s K L) · rw [trace_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some] · simp [trace_eq_zero_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis_finset H] #align algebra.trace_algebra_map Algebra.trace_algebraMap theorem trace_trace_of_basis [Algebra S T] [IsScalarTower R S T] {ι κ : Type*} [Finite ι] [Finite κ] (b : Basis ι R S) (c : Basis κ S T) (x : T) : trace R S (trace S T x) = trace R T x := by haveI := Classical.decEq ι haveI := Classical.decEq κ cases nonempty_fintype ι cases nonempty_fintype κ rw [trace_eq_matrix_trace (b.smul c), trace_eq_matrix_trace b, trace_eq_matrix_trace c, Matrix.trace, Matrix.trace, Matrix.trace, ← Finset.univ_product_univ, Finset.sum_product] refine Finset.sum_congr rfl fun i _ ↦ ?_ simp only [AlgHom.map_sum, smul_leftMulMatrix, Finset.sum_apply, Matrix.diag, Finset.sum_apply i (Finset.univ : Finset κ) fun y => leftMulMatrix b (leftMulMatrix c x y y)] #align algebra.trace_trace_of_basis Algebra.trace_trace_of_basis theorem trace_comp_trace_of_basis [Algebra S T] [IsScalarTower R S T] {ι κ : Type*} [Finite ι] [Finite κ] (b : Basis ι R S) (c : Basis κ S T) : (trace R S).comp ((trace S T).restrictScalars R) = trace R T := by ext rw [LinearMap.comp_apply, LinearMap.restrictScalars_apply, trace_trace_of_basis b c] #align algebra.trace_comp_trace_of_basis Algebra.trace_comp_trace_of_basis @[simp] theorem trace_trace [Algebra K T] [Algebra L T] [IsScalarTower K L T] [FiniteDimensional K L] [FiniteDimensional L T] (x : T) : trace K L (trace L T x) = trace K T x := trace_trace_of_basis (Basis.ofVectorSpace K L) (Basis.ofVectorSpace L T) x #align algebra.trace_trace Algebra.trace_trace @[simp] theorem trace_comp_trace [Algebra K T] [Algebra L T] [IsScalarTower K L T] [FiniteDimensional K L] [FiniteDimensional L T] : (trace K L).comp ((trace L T).restrictScalars K) = trace K T := by ext; rw [LinearMap.comp_apply, LinearMap.restrictScalars_apply, trace_trace] #align algebra.trace_comp_trace Algebra.trace_comp_trace @[simp] theorem trace_prod_apply [Module.Free R S] [Module.Free R T] [Module.Finite R S] [Module.Finite R T] (x : S × T) : trace R (S × T) x = trace R S x.fst + trace R T x.snd := by nontriviality R let f := (lmul R S).toLinearMap.prodMap (lmul R T).toLinearMap have : (lmul R (S × T)).toLinearMap = (prodMapLinear R S T S T R).comp f := LinearMap.ext₂ Prod.mul_def simp_rw [trace, this] exact trace_prodMap' _ _ #align algebra.trace_prod_apply Algebra.trace_prod_apply theorem trace_prod [Module.Free R S] [Module.Free R T] [Module.Finite R S] [Module.Finite R T] : trace R (S × T) = (trace R S).coprod (trace R T) := LinearMap.ext fun p => by rw [coprod_apply, trace_prod_apply] #align algebra.trace_prod Algebra.trace_prod section TraceForm variable (R S) noncomputable def traceForm : BilinForm R S := LinearMap.compr₂ (lmul R S).toLinearMap (trace R S) #align algebra.trace_form Algebra.traceForm variable {S} -- This is a nicer lemma than the one produced by `@[simps] def traceForm`. @[simp] theorem traceForm_apply (x y : S) : traceForm R S x y = trace R S (x * y) := rfl #align algebra.trace_form_apply Algebra.traceForm_apply theorem traceForm_isSymm : (traceForm R S).IsSymm := fun _ _ => congr_arg (trace R S) (mul_comm _ _) #align algebra.trace_form_is_symm Algebra.traceForm_isSymm theorem traceForm_toMatrix [DecidableEq ι] (i j) : BilinForm.toMatrix b (traceForm R S) i j = trace R S (b i * b j) := by rw [BilinForm.toMatrix_apply, traceForm_apply] #align algebra.trace_form_to_matrix Algebra.traceForm_toMatrix
Mathlib/RingTheory/Trace.lean
210
212
theorem traceForm_toMatrix_powerBasis (h : PowerBasis R S) : BilinForm.toMatrix h.basis (traceForm R S) = of fun i j => trace R S (h.gen ^ (i.1 + j.1)) := by
ext; rw [traceForm_toMatrix, of_apply, pow_add, h.basis_eq_pow, h.basis_eq_pow]
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
Mathlib/Analysis/Calculus/BumpFunction/Normed.lean
111
115
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))
import Mathlib.Algebra.CharP.Two import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.Nat.Periodic import Mathlib.Data.ZMod.Basic import Mathlib.Tactic.Monotonicity #align_import data.nat.totient from "leanprover-community/mathlib"@"5cc2dfdd3e92f340411acea4427d701dc7ed26f8" open Finset namespace Nat def totient (n : ℕ) : ℕ := ((range n).filter n.Coprime).card #align nat.totient Nat.totient @[inherit_doc] scoped notation "φ" => Nat.totient @[simp] theorem totient_zero : φ 0 = 0 := rfl #align nat.totient_zero Nat.totient_zero @[simp] theorem totient_one : φ 1 = 1 := rfl #align nat.totient_one Nat.totient_one theorem totient_eq_card_coprime (n : ℕ) : φ n = ((range n).filter n.Coprime).card := rfl #align nat.totient_eq_card_coprime Nat.totient_eq_card_coprime theorem totient_eq_card_lt_and_coprime (n : ℕ) : φ n = Nat.card { m | m < n ∧ n.Coprime m } := by let e : { m | m < n ∧ n.Coprime m } ≃ Finset.filter n.Coprime (Finset.range n) := { toFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩ invFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩ left_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] right_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] } rw [totient_eq_card_coprime, card_congr e, card_eq_fintype_card, Fintype.card_coe] #align nat.totient_eq_card_lt_and_coprime Nat.totient_eq_card_lt_and_coprime theorem totient_le (n : ℕ) : φ n ≤ n := ((range n).card_filter_le _).trans_eq (card_range n) #align nat.totient_le Nat.totient_le theorem totient_lt (n : ℕ) (hn : 1 < n) : φ n < n := (card_lt_card (filter_ssubset.2 ⟨0, by simp [hn.ne', pos_of_gt hn]⟩)).trans_eq (card_range n) #align nat.totient_lt Nat.totient_lt @[simp] theorem totient_eq_zero : ∀ {n : ℕ}, φ n = 0 ↔ n = 0 | 0 => by decide | n + 1 => suffices ∃ x < n + 1, (n + 1).gcd x = 1 by simpa [totient, filter_eq_empty_iff] ⟨1 % (n + 1), mod_lt _ n.succ_pos, by rw [gcd_comm, ← gcd_rec, gcd_one_right]⟩ @[simp] theorem totient_pos {n : ℕ} : 0 < φ n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.totient_pos Nat.totient_pos theorem filter_coprime_Ico_eq_totient (a n : ℕ) : ((Ico n (n + a)).filter (Coprime a)).card = totient a := by rw [totient, filter_Ico_card_eq_of_periodic, count_eq_card_filter_range] exact periodic_coprime a #align nat.filter_coprime_Ico_eq_totient Nat.filter_coprime_Ico_eq_totient theorem Ico_filter_coprime_le {a : ℕ} (k n : ℕ) (a_pos : 0 < a) : ((Ico k (k + n)).filter (Coprime a)).card ≤ totient a * (n / a + 1) := by conv_lhs => rw [← Nat.mod_add_div n a] induction' n / a with i ih · rw [← filter_coprime_Ico_eq_totient a k] simp only [add_zero, mul_one, mul_zero, le_of_lt (mod_lt n a_pos), Nat.zero_eq, zero_add] -- Porting note: below line was `mono` refine Finset.card_mono ?_ refine monotone_filter_left a.Coprime ?_ simp only [Finset.le_eq_subset] exact Ico_subset_Ico rfl.le (add_le_add_left (le_of_lt (mod_lt n a_pos)) k) simp only [mul_succ] simp_rw [← add_assoc] at ih ⊢ calc (filter a.Coprime (Ico k (k + n % a + a * i + a))).card = (filter a.Coprime (Ico k (k + n % a + a * i) ∪ Ico (k + n % a + a * i) (k + n % a + a * i + a))).card := by congr rw [Ico_union_Ico_eq_Ico] · rw [add_assoc] exact le_self_add exact le_self_add _ ≤ (filter a.Coprime (Ico k (k + n % a + a * i))).card + a.totient := by rw [filter_union, ← filter_coprime_Ico_eq_totient a (k + n % a + a * i)] apply card_union_le _ ≤ a.totient * i + a.totient + a.totient := add_le_add_right ih (totient a) #align nat.Ico_filter_coprime_le Nat.Ico_filter_coprime_le open ZMod @[simp] theorem _root_.ZMod.card_units_eq_totient (n : ℕ) [NeZero n] [Fintype (ZMod n)ˣ] : Fintype.card (ZMod n)ˣ = φ n := calc Fintype.card (ZMod n)ˣ = Fintype.card { x : ZMod n // x.val.Coprime n } := Fintype.card_congr ZMod.unitsEquivCoprime _ = φ n := by obtain ⟨m, rfl⟩ : ∃ m, n = m + 1 := exists_eq_succ_of_ne_zero NeZero.out simp only [totient, Finset.card_eq_sum_ones, Fintype.card_subtype, Finset.sum_filter, ← Fin.sum_univ_eq_sum_range, @Nat.coprime_comm (m + 1)] rfl #align zmod.card_units_eq_totient ZMod.card_units_eq_totient theorem totient_even {n : ℕ} (hn : 2 < n) : Even n.totient := by haveI : Fact (1 < n) := ⟨one_lt_two.trans hn⟩ haveI : NeZero n := NeZero.of_gt hn suffices 2 = orderOf (-1 : (ZMod n)ˣ) by rw [← ZMod.card_units_eq_totient, even_iff_two_dvd, this] exact orderOf_dvd_card rw [← orderOf_units, Units.coe_neg_one, orderOf_neg_one, ringChar.eq (ZMod n) n, if_neg hn.ne'] #align nat.totient_even Nat.totient_even theorem totient_mul {m n : ℕ} (h : m.Coprime n) : φ (m * n) = φ m * φ n := if hmn0 : m * n = 0 then by cases' Nat.mul_eq_zero.1 hmn0 with h h <;> simp only [totient_zero, mul_zero, zero_mul, h] else by haveI : NeZero (m * n) := ⟨hmn0⟩ haveI : NeZero m := ⟨left_ne_zero_of_mul hmn0⟩ haveI : NeZero n := ⟨right_ne_zero_of_mul hmn0⟩ simp only [← ZMod.card_units_eq_totient] rw [Fintype.card_congr (Units.mapEquiv (ZMod.chineseRemainder h).toMulEquiv).toEquiv, Fintype.card_congr (@MulEquiv.prodUnits (ZMod m) (ZMod n) _ _).toEquiv, Fintype.card_prod] #align nat.totient_mul Nat.totient_mul
Mathlib/Data/Nat/Totient.lean
152
169
theorem totient_div_of_dvd {n d : ℕ} (hnd : d ∣ n) : φ (n / d) = (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by
rcases d.eq_zero_or_pos with (rfl | hd0); · simp [eq_zero_of_zero_dvd hnd] rcases hnd with ⟨x, rfl⟩ rw [Nat.mul_div_cancel_left x hd0] apply Finset.card_bij fun k _ => d * k · simp only [mem_filter, mem_range, and_imp, Coprime] refine fun a ha1 ha2 => ⟨(mul_lt_mul_left hd0).2 ha1, ?_⟩ rw [gcd_mul_left, ha2, mul_one] · simp [hd0.ne'] · simp only [mem_filter, mem_range, exists_prop, and_imp] refine fun b hb1 hb2 => ?_ have : d ∣ b := by rw [← hb2] apply gcd_dvd_right rcases this with ⟨q, rfl⟩ refine ⟨q, ⟨⟨(mul_lt_mul_left hd0).1 hb1, ?_⟩, rfl⟩⟩ rwa [gcd_mul_left, mul_right_eq_self_iff hd0] at hb2
import Mathlib.Algebra.Star.SelfAdjoint import Mathlib.Algebra.Module.Equiv import Mathlib.LinearAlgebra.Prod #align_import algebra.star.module from "leanprover-community/mathlib"@"aa6669832974f87406a3d9d70fc5707a60546207" @[simps] def starLinearEquiv (R : Type*) {A : Type*} [CommSemiring R] [StarRing R] [AddCommMonoid A] [StarAddMonoid A] [Module R A] [StarModule R A] : A ≃ₗ⋆[R] A := { starAddEquiv with toFun := star map_smul' := star_smul } #align star_linear_equiv starLinearEquiv section SelfSkewAdjoint variable (R : Type*) (A : Type*) [Semiring R] [StarMul R] [TrivialStar R] [AddCommGroup A] [Module R A] [StarAddMonoid A] [StarModule R A] def selfAdjoint.submodule : Submodule R A := { selfAdjoint A with smul_mem' := fun _ _ => (IsSelfAdjoint.all _).smul } #align self_adjoint.submodule selfAdjoint.submodule def skewAdjoint.submodule : Submodule R A := { skewAdjoint A with smul_mem' := skewAdjoint.smul_mem } #align skew_adjoint.submodule skewAdjoint.submodule variable {A} [Invertible (2 : R)] @[simps] def selfAdjointPart : A →ₗ[R] selfAdjoint A where toFun x := ⟨(⅟ 2 : R) • (x + star x), by rw [selfAdjoint.mem_iff, star_smul, star_trivial, star_add, star_star, add_comm]⟩ map_add' x y := by ext simp [add_add_add_comm] map_smul' r x := by ext simp [← mul_smul, show ⅟ 2 * r = r * ⅟ 2 from Commute.invOf_left <| (2 : ℕ).cast_commute r] #align self_adjoint_part selfAdjointPart @[simps] def skewAdjointPart : A →ₗ[R] skewAdjoint A where toFun x := ⟨(⅟ 2 : R) • (x - star x), by simp only [skewAdjoint.mem_iff, star_smul, star_sub, star_star, star_trivial, ← smul_neg, neg_sub]⟩ map_add' x y := by ext simp only [sub_add, ← smul_add, sub_sub_eq_add_sub, star_add, AddSubgroup.coe_mk, AddSubgroup.coe_add] map_smul' r x := by ext simp [← mul_smul, ← smul_sub, show r * ⅟ 2 = ⅟ 2 * r from Commute.invOf_right <| (2 : ℕ).commute_cast r] #align skew_adjoint_part skewAdjointPart theorem StarModule.selfAdjointPart_add_skewAdjointPart (x : A) : (selfAdjointPart R x : A) + skewAdjointPart R x = x := by simp only [smul_sub, selfAdjointPart_apply_coe, smul_add, skewAdjointPart_apply_coe, add_add_sub_cancel, invOf_two_smul_add_invOf_two_smul] #align star_module.self_adjoint_part_add_skew_adjoint_part StarModule.selfAdjointPart_add_skewAdjointPart
Mathlib/Algebra/Star/Module.lean
154
156
theorem IsSelfAdjoint.coe_selfAdjointPart_apply {x : A} (hx : IsSelfAdjoint x) : (selfAdjointPart R x : A) = x := by
rw [selfAdjointPart_apply_coe, hx.star_eq, smul_add, invOf_two_smul_add_invOf_two_smul]
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.Convex.Complex #align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16" noncomputable section open Real Set MeasureTheory Filter Asymptotics open scoped Real Topology open Complex hiding exp abs_of_nonneg
Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean
31
43
theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) : (fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by
rw [isLittleO_exp_comp_exp_comp] suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by refine Tendsto.congr' ?_ this refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_) rw [mem_Ioi] at hx rw [rpow_sub_one hx.ne'] field_simp [hx.ne'] ring apply Tendsto.atTop_mul_atTop tendsto_id refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_ exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith))
import Mathlib.Topology.UniformSpace.Cauchy import Mathlib.Topology.UniformSpace.Separation import Mathlib.Topology.DenseEmbedding #align_import topology.uniform_space.uniform_embedding from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c" open Filter Function Set Uniformity Topology section universe u v w variable {α : Type u} {β : Type v} {γ : Type w} [UniformSpace α] [UniformSpace β] [UniformSpace γ] @[mk_iff] structure UniformInducing (f : α → β) : Prop where comap_uniformity : comap (fun x : α × α => (f x.1, f x.2)) (𝓤 β) = 𝓤 α #align uniform_inducing UniformInducing #align uniform_inducing_iff uniformInducing_iff lemma uniformInducing_iff_uniformSpace {f : α → β} : UniformInducing f ↔ ‹UniformSpace β›.comap f = ‹UniformSpace α› := by rw [uniformInducing_iff, UniformSpace.ext_iff, Filter.ext_iff] rfl protected alias ⟨UniformInducing.comap_uniformSpace, _⟩ := uniformInducing_iff_uniformSpace #align uniform_inducing.comap_uniform_space UniformInducing.comap_uniformSpace lemma uniformInducing_iff' {f : α → β} : UniformInducing f ↔ UniformContinuous f ∧ comap (Prod.map f f) (𝓤 β) ≤ 𝓤 α := by rw [uniformInducing_iff, UniformContinuous, tendsto_iff_comap, le_antisymm_iff, and_comm]; rfl #align uniform_inducing_iff' uniformInducing_iff' protected lemma Filter.HasBasis.uniformInducing_iff {ι ι'} {p : ι → Prop} {p' : ι' → Prop} {s s'} (h : (𝓤 α).HasBasis p s) (h' : (𝓤 β).HasBasis p' s') {f : α → β} : UniformInducing f ↔ (∀ i, p' i → ∃ j, p j ∧ ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ s' i) ∧ (∀ j, p j → ∃ i, p' i ∧ ∀ x y, (f x, f y) ∈ s' i → (x, y) ∈ s j) := by simp [uniformInducing_iff', h.uniformContinuous_iff h', (h'.comap _).le_basis_iff h, subset_def] #align filter.has_basis.uniform_inducing_iff Filter.HasBasis.uniformInducing_iff theorem UniformInducing.mk' {f : α → β} (h : ∀ s, s ∈ 𝓤 α ↔ ∃ t ∈ 𝓤 β, ∀ x y : α, (f x, f y) ∈ t → (x, y) ∈ s) : UniformInducing f := ⟨by simp [eq_comm, Filter.ext_iff, subset_def, h]⟩ #align uniform_inducing.mk' UniformInducing.mk' theorem uniformInducing_id : UniformInducing (@id α) := ⟨by rw [← Prod.map_def, Prod.map_id, comap_id]⟩ #align uniform_inducing_id uniformInducing_id theorem UniformInducing.comp {g : β → γ} (hg : UniformInducing g) {f : α → β} (hf : UniformInducing f) : UniformInducing (g ∘ f) := ⟨by rw [← hf.1, ← hg.1, comap_comap]; rfl⟩ #align uniform_inducing.comp UniformInducing.comp theorem UniformInducing.of_comp_iff {g : β → γ} (hg : UniformInducing g) {f : α → β} : UniformInducing (g ∘ f) ↔ UniformInducing f := by refine ⟨fun h ↦ ?_, hg.comp⟩ rw [uniformInducing_iff, ← hg.comap_uniformity, comap_comap, ← h.comap_uniformity, Function.comp, Function.comp] theorem UniformInducing.basis_uniformity {f : α → β} (hf : UniformInducing f) {ι : Sort*} {p : ι → Prop} {s : ι → Set (β × β)} (H : (𝓤 β).HasBasis p s) : (𝓤 α).HasBasis p fun i => Prod.map f f ⁻¹' s i := hf.1 ▸ H.comap _ #align uniform_inducing.basis_uniformity UniformInducing.basis_uniformity theorem UniformInducing.cauchy_map_iff {f : α → β} (hf : UniformInducing f) {F : Filter α} : Cauchy (map f F) ↔ Cauchy F := by simp only [Cauchy, map_neBot_iff, prod_map_map_eq, map_le_iff_le_comap, ← hf.comap_uniformity] #align uniform_inducing.cauchy_map_iff UniformInducing.cauchy_map_iff theorem uniformInducing_of_compose {f : α → β} {g : β → γ} (hf : UniformContinuous f) (hg : UniformContinuous g) (hgf : UniformInducing (g ∘ f)) : UniformInducing f := by refine ⟨le_antisymm ?_ hf.le_comap⟩ rw [← hgf.1, ← Prod.map_def, ← Prod.map_def, ← Prod.map_comp_map f f g g, ← comap_comap] exact comap_mono hg.le_comap #align uniform_inducing_of_compose uniformInducing_of_compose theorem UniformInducing.uniformContinuous {f : α → β} (hf : UniformInducing f) : UniformContinuous f := (uniformInducing_iff'.1 hf).1 #align uniform_inducing.uniform_continuous UniformInducing.uniformContinuous theorem UniformInducing.uniformContinuous_iff {f : α → β} {g : β → γ} (hg : UniformInducing g) : UniformContinuous f ↔ UniformContinuous (g ∘ f) := by dsimp only [UniformContinuous, Tendsto] rw [← hg.comap_uniformity, ← map_le_iff_le_comap, Filter.map_map]; rfl #align uniform_inducing.uniform_continuous_iff UniformInducing.uniformContinuous_iff theorem UniformInducing.uniformContinuousOn_iff {f : α → β} {g : β → γ} {S : Set α} (hg : UniformInducing g) : UniformContinuousOn f S ↔ UniformContinuousOn (g ∘ f) S := by dsimp only [UniformContinuousOn, Tendsto] rw [← hg.comap_uniformity, ← map_le_iff_le_comap, Filter.map_map, comp_def, comp_def] theorem UniformInducing.inducing {f : α → β} (h : UniformInducing f) : Inducing f := by obtain rfl := h.comap_uniformSpace exact inducing_induced f #align uniform_inducing.inducing UniformInducing.inducing theorem UniformInducing.prod {α' : Type*} {β' : Type*} [UniformSpace α'] [UniformSpace β'] {e₁ : α → α'} {e₂ : β → β'} (h₁ : UniformInducing e₁) (h₂ : UniformInducing e₂) : UniformInducing fun p : α × β => (e₁ p.1, e₂ p.2) := ⟨by simp [(· ∘ ·), uniformity_prod, ← h₁.1, ← h₂.1, comap_inf, comap_comap]⟩ #align uniform_inducing.prod UniformInducing.prod theorem UniformInducing.denseInducing {f : α → β} (h : UniformInducing f) (hd : DenseRange f) : DenseInducing f := { dense := hd induced := h.inducing.induced } #align uniform_inducing.dense_inducing UniformInducing.denseInducing theorem SeparationQuotient.uniformInducing_mk : UniformInducing (mk : α → SeparationQuotient α) := ⟨comap_mk_uniformity⟩ protected theorem UniformInducing.injective [T0Space α] {f : α → β} (h : UniformInducing f) : Injective f := h.inducing.injective @[mk_iff] structure UniformEmbedding (f : α → β) extends UniformInducing f : Prop where inj : Function.Injective f #align uniform_embedding UniformEmbedding #align uniform_embedding_iff uniformEmbedding_iff theorem uniformEmbedding_iff' {f : α → β} : UniformEmbedding f ↔ Injective f ∧ UniformContinuous f ∧ comap (Prod.map f f) (𝓤 β) ≤ 𝓤 α := by rw [uniformEmbedding_iff, and_comm, uniformInducing_iff'] #align uniform_embedding_iff' uniformEmbedding_iff' theorem Filter.HasBasis.uniformEmbedding_iff' {ι ι'} {p : ι → Prop} {p' : ι' → Prop} {s s'} (h : (𝓤 α).HasBasis p s) (h' : (𝓤 β).HasBasis p' s') {f : α → β} : UniformEmbedding f ↔ Injective f ∧ (∀ i, p' i → ∃ j, p j ∧ ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ s' i) ∧ (∀ j, p j → ∃ i, p' i ∧ ∀ x y, (f x, f y) ∈ s' i → (x, y) ∈ s j) := by rw [uniformEmbedding_iff, and_comm, h.uniformInducing_iff h'] #align filter.has_basis.uniform_embedding_iff' Filter.HasBasis.uniformEmbedding_iff' theorem Filter.HasBasis.uniformEmbedding_iff {ι ι'} {p : ι → Prop} {p' : ι' → Prop} {s s'} (h : (𝓤 α).HasBasis p s) (h' : (𝓤 β).HasBasis p' s') {f : α → β} : UniformEmbedding f ↔ Injective f ∧ UniformContinuous f ∧ (∀ j, p j → ∃ i, p' i ∧ ∀ x y, (f x, f y) ∈ s' i → (x, y) ∈ s j) := by simp only [h.uniformEmbedding_iff' h', h.uniformContinuous_iff h'] #align filter.has_basis.uniform_embedding_iff Filter.HasBasis.uniformEmbedding_iff theorem uniformEmbedding_subtype_val {p : α → Prop} : UniformEmbedding (Subtype.val : Subtype p → α) := { comap_uniformity := rfl inj := Subtype.val_injective } #align uniform_embedding_subtype_val uniformEmbedding_subtype_val #align uniform_embedding_subtype_coe uniformEmbedding_subtype_val theorem uniformEmbedding_set_inclusion {s t : Set α} (hst : s ⊆ t) : UniformEmbedding (inclusion hst) where comap_uniformity := by rw [uniformity_subtype, uniformity_subtype, comap_comap]; rfl inj := inclusion_injective hst #align uniform_embedding_set_inclusion uniformEmbedding_set_inclusion theorem UniformEmbedding.comp {g : β → γ} (hg : UniformEmbedding g) {f : α → β} (hf : UniformEmbedding f) : UniformEmbedding (g ∘ f) := { hg.toUniformInducing.comp hf.toUniformInducing with inj := hg.inj.comp hf.inj } #align uniform_embedding.comp UniformEmbedding.comp theorem UniformEmbedding.of_comp_iff {g : β → γ} (hg : UniformEmbedding g) {f : α → β} : UniformEmbedding (g ∘ f) ↔ UniformEmbedding f := by simp_rw [uniformEmbedding_iff, hg.toUniformInducing.of_comp_iff, hg.inj.of_comp_iff f] theorem Equiv.uniformEmbedding {α β : Type*} [UniformSpace α] [UniformSpace β] (f : α ≃ β) (h₁ : UniformContinuous f) (h₂ : UniformContinuous f.symm) : UniformEmbedding f := uniformEmbedding_iff'.2 ⟨f.injective, h₁, by rwa [← Equiv.prodCongr_apply, ← map_equiv_symm]⟩ #align equiv.uniform_embedding Equiv.uniformEmbedding theorem uniformEmbedding_inl : UniformEmbedding (Sum.inl : α → α ⊕ β) := uniformEmbedding_iff'.2 ⟨Sum.inl_injective, uniformContinuous_inl, fun s hs => ⟨Prod.map Sum.inl Sum.inl '' s ∪ range (Prod.map Sum.inr Sum.inr), union_mem_sup (image_mem_map hs) range_mem_map, fun x h => by simpa using h⟩⟩ #align uniform_embedding_inl uniformEmbedding_inl theorem uniformEmbedding_inr : UniformEmbedding (Sum.inr : β → α ⊕ β) := uniformEmbedding_iff'.2 ⟨Sum.inr_injective, uniformContinuous_inr, fun s hs => ⟨range (Prod.map Sum.inl Sum.inl) ∪ Prod.map Sum.inr Sum.inr '' s, union_mem_sup range_mem_map (image_mem_map hs), fun x h => by simpa using h⟩⟩ #align uniform_embedding_inr uniformEmbedding_inr protected theorem UniformInducing.uniformEmbedding [T0Space α] {f : α → β} (hf : UniformInducing f) : UniformEmbedding f := ⟨hf, hf.inducing.injective⟩ #align uniform_inducing.uniform_embedding UniformInducing.uniformEmbedding theorem uniformEmbedding_iff_uniformInducing [T0Space α] {f : α → β} : UniformEmbedding f ↔ UniformInducing f := ⟨UniformEmbedding.toUniformInducing, UniformInducing.uniformEmbedding⟩ #align uniform_embedding_iff_uniform_inducing uniformEmbedding_iff_uniformInducing theorem comap_uniformity_of_spaced_out {α} {f : α → β} {s : Set (β × β)} (hs : s ∈ 𝓤 β) (hf : Pairwise fun x y => (f x, f y) ∉ s) : comap (Prod.map f f) (𝓤 β) = 𝓟 idRel := by refine le_antisymm ?_ (@refl_le_uniformity α (UniformSpace.comap f _)) calc comap (Prod.map f f) (𝓤 β) ≤ comap (Prod.map f f) (𝓟 s) := comap_mono (le_principal_iff.2 hs) _ = 𝓟 (Prod.map f f ⁻¹' s) := comap_principal _ ≤ 𝓟 idRel := principal_mono.2 ?_ rintro ⟨x, y⟩; simpa [not_imp_not] using @hf x y #align comap_uniformity_of_spaced_out comap_uniformity_of_spaced_out
Mathlib/Topology/UniformSpace/UniformEmbedding.lean
240
243
theorem uniformEmbedding_of_spaced_out {α} {f : α → β} {s : Set (β × β)} (hs : s ∈ 𝓤 β) (hf : Pairwise fun x y => (f x, f y) ∉ s) : @UniformEmbedding α β ⊥ ‹_› f := by
let _ : UniformSpace α := ⊥; have := discreteTopology_bot α exact UniformInducing.uniformEmbedding ⟨comap_uniformity_of_spaced_out hs hf⟩
import Mathlib.Analysis.InnerProductSpace.GramSchmidtOrtho import Mathlib.LinearAlgebra.Orientation #align_import analysis.inner_product_space.orientation from "leanprover-community/mathlib"@"bd65478311e4dfd41f48bf38c7e3b02fb75d0163" noncomputable section variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] open FiniteDimensional open scoped RealInnerProductSpace namespace OrthonormalBasis variable {ι : Type*} [Fintype ι] [DecidableEq ι] [ne : Nonempty ι] (e f : OrthonormalBasis ι ℝ E) (x : Orientation ℝ E ι)
Mathlib/Analysis/InnerProductSpace/Orientation.lean
54
60
theorem det_to_matrix_orthonormalBasis_of_same_orientation (h : e.toBasis.orientation = f.toBasis.orientation) : e.toBasis.det f = 1 := by
apply (e.det_to_matrix_orthonormalBasis_real f).resolve_right have : 0 < e.toBasis.det f := by rw [e.toBasis.orientation_eq_iff_det_pos] at h simpa using h linarith
import Mathlib.Algebra.MvPolynomial.Basic #align_import data.mv_polynomial.rename from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Set Function Finsupp AddMonoidAlgebra variable {σ τ α R S : Type*} [CommSemiring R] [CommSemiring S] namespace MvPolynomial section Rename def rename (f : σ → τ) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R := aeval (X ∘ f) #align mv_polynomial.rename MvPolynomial.rename theorem rename_C (f : σ → τ) (r : R) : rename f (C r) = C r := eval₂_C _ _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.rename_C MvPolynomial.rename_C @[simp] theorem rename_X (f : σ → τ) (i : σ) : rename f (X i : MvPolynomial σ R) = X (f i) := eval₂_X _ _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.rename_X MvPolynomial.rename_X
Mathlib/Algebra/MvPolynomial/Rename.lean
67
72
theorem map_rename (f : R →+* S) (g : σ → τ) (p : MvPolynomial σ R) : map f (rename g p) = rename g (map f p) := by
apply MvPolynomial.induction_on p (fun a => by simp only [map_C, rename_C]) (fun p q hp hq => by simp only [hp, hq, AlgHom.map_add, RingHom.map_add]) fun p n hp => by simp only [hp, rename_X, map_X, RingHom.map_mul, AlgHom.map_mul]
import Mathlib.Analysis.InnerProductSpace.Spectrum import Mathlib.Data.Matrix.Rank import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Hermitian #align_import linear_algebra.matrix.spectrum from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" namespace Matrix variable {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] variable {A : Matrix n n 𝕜} namespace IsHermitian section DecidableEq variable [DecidableEq n] variable (hA : A.IsHermitian) noncomputable def eigenvalues₀ : Fin (Fintype.card n) → ℝ := (isHermitian_iff_isSymmetric.1 hA).eigenvalues finrank_euclideanSpace #align matrix.is_hermitian.eigenvalues₀ Matrix.IsHermitian.eigenvalues₀ noncomputable def eigenvalues : n → ℝ := fun i => hA.eigenvalues₀ <| (Fintype.equivOfCardEq (Fintype.card_fin _)).symm i #align matrix.is_hermitian.eigenvalues Matrix.IsHermitian.eigenvalues noncomputable def eigenvectorBasis : OrthonormalBasis n 𝕜 (EuclideanSpace 𝕜 n) := ((isHermitian_iff_isSymmetric.1 hA).eigenvectorBasis finrank_euclideanSpace).reindex (Fintype.equivOfCardEq (Fintype.card_fin _)) #align matrix.is_hermitian.eigenvector_basis Matrix.IsHermitian.eigenvectorBasis lemma mulVec_eigenvectorBasis (j : n) : A *ᵥ ⇑(hA.eigenvectorBasis j) = (hA.eigenvalues j) • ⇑(hA.eigenvectorBasis j) := by simpa only [eigenvectorBasis, OrthonormalBasis.reindex_apply, toEuclideanLin_apply, RCLike.real_smul_eq_coe_smul (K := 𝕜)] using congr(⇑$((isHermitian_iff_isSymmetric.1 hA).apply_eigenvectorBasis finrank_euclideanSpace ((Fintype.equivOfCardEq (Fintype.card_fin _)).symm j))) noncomputable def eigenvectorUnitary {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) : Matrix.unitaryGroup n 𝕜 := ⟨(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis, (EuclideanSpace.basisFun n 𝕜).toMatrix_orthonormalBasis_mem_unitary (eigenvectorBasis hA)⟩ #align matrix.is_hermitian.eigenvector_matrix Matrix.IsHermitian.eigenvectorUnitary lemma eigenvectorUnitary_coe {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] {A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) : eigenvectorUnitary hA = (EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis := rfl @[simp] theorem eigenvectorUnitary_apply (i j : n) : eigenvectorUnitary hA i j = ⇑(hA.eigenvectorBasis j) i := rfl #align matrix.is_hermitian.eigenvector_matrix_apply Matrix.IsHermitian.eigenvectorUnitary_apply theorem eigenvectorUnitary_mulVec (j : n) : eigenvectorUnitary hA *ᵥ Pi.single j 1 = ⇑(hA.eigenvectorBasis j) := by simp only [mulVec_single, eigenvectorUnitary_apply, mul_one] theorem star_eigenvectorUnitary_mulVec (j : n) : (star (eigenvectorUnitary hA : Matrix n n 𝕜)) *ᵥ ⇑(hA.eigenvectorBasis j) = Pi.single j 1 := by rw [← eigenvectorUnitary_mulVec, mulVec_mulVec, unitary.coe_star_mul_self, one_mulVec] theorem star_mul_self_mul_eq_diagonal : (star (eigenvectorUnitary hA : Matrix n n 𝕜)) * A * (eigenvectorUnitary hA : Matrix n n 𝕜) = diagonal (RCLike.ofReal ∘ hA.eigenvalues) := by apply Matrix.toEuclideanLin.injective apply Basis.ext (EuclideanSpace.basisFun n 𝕜).toBasis intro i simp only [toEuclideanLin_apply, OrthonormalBasis.coe_toBasis, EuclideanSpace.basisFun_apply, WithLp.equiv_single, ← mulVec_mulVec, eigenvectorUnitary_mulVec, ← mulVec_mulVec, mulVec_eigenvectorBasis, Matrix.diagonal_mulVec_single, mulVec_smul, star_eigenvectorUnitary_mulVec, RCLike.real_smul_eq_coe_smul (K := 𝕜), WithLp.equiv_symm_smul, WithLp.equiv_symm_single, Function.comp_apply, mul_one, WithLp.equiv_symm_single] apply PiLp.ext intro j simp only [PiLp.smul_apply, EuclideanSpace.single_apply, smul_eq_mul, mul_ite, mul_one, mul_zero] theorem spectral_theorem : A = (eigenvectorUnitary hA : Matrix n n 𝕜) * diagonal (RCLike.ofReal ∘ hA.eigenvalues) * (star (eigenvectorUnitary hA : Matrix n n 𝕜)) := by rw [← star_mul_self_mul_eq_diagonal, mul_assoc, mul_assoc, (Matrix.mem_unitaryGroup_iff).mp (eigenvectorUnitary hA).2, mul_one, ← mul_assoc, (Matrix.mem_unitaryGroup_iff).mp (eigenvectorUnitary hA).2, one_mul] #align matrix.is_hermitian.spectral_theorem' Matrix.IsHermitian.spectral_theorem
Mathlib/LinearAlgebra/Matrix/Spectrum.lean
114
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theorem eigenvalues_eq (i : n) : (hA.eigenvalues i) = RCLike.re (Matrix.dotProduct (star ⇑(hA.eigenvectorBasis i)) (A *ᵥ ⇑(hA.eigenvectorBasis i))):= by
simp only [mulVec_eigenvectorBasis, dotProduct_smul,← EuclideanSpace.inner_eq_star_dotProduct, inner_self_eq_norm_sq_to_K, RCLike.smul_re, hA.eigenvectorBasis.orthonormal.1 i, mul_one, algebraMap.coe_one, one_pow, RCLike.one_re]
import Mathlib.Init.Data.Nat.Notation import Mathlib.Init.Order.Defs set_option autoImplicit true structure UFModel (n) where parent : Fin n → Fin n rank : Nat → Nat rank_lt : ∀ i, (parent i).1 ≠ i → rank i < rank (parent i) structure UFNode (α : Type*) where parent : Nat value : α rank : Nat inductive UFModel.Agrees (arr : Array α) (f : α → β) : ∀ {n}, (Fin n → β) → Prop | mk : Agrees arr f fun i ↦ f (arr.get i) namespace UFModel.Agrees theorem mk' {arr : Array α} {f : α → β} {n} {g : Fin n → β} (e : n = arr.size) (H : ∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = g ⟨i, h₂⟩) : Agrees arr f g := by cases e have : (fun i ↦ f (arr.get i)) = g := by funext ⟨i, h⟩; apply H cases this; constructor
Mathlib/Data/UnionFind.lean
79
80
theorem size_eq {arr : Array α} {m : Fin n → β} (H : Agrees arr f m) : n = arr.size := by
cases H; rfl
import Mathlib.CategoryTheory.Preadditive.ProjectiveResolution import Mathlib.Algebra.Homology.HomotopyCategory import Mathlib.Tactic.SuppressCompilation suppress_compilation noncomputable section universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] open Category Limits Projective set_option linter.uppercaseLean3 false -- `ProjectiveResolution` namespace ProjectiveResolution section variable [HasZeroObject C] [HasZeroMorphisms C] def liftFZero {Y Z : C} (f : Y ⟶ Z) (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) : P.complex.X 0 ⟶ Q.complex.X 0 := Projective.factorThru (P.π.f 0 ≫ f) (Q.π.f 0) #align category_theory.ProjectiveResolution.lift_f_zero CategoryTheory.ProjectiveResolution.liftFZero end section Abelian variable [Abelian C] lemma exact₀ {Z : C} (P : ProjectiveResolution Z) : (ShortComplex.mk _ _ P.complex_d_comp_π_f_zero).Exact := ShortComplex.exact_of_g_is_cokernel _ P.isColimitCokernelCofork def liftFOne {Y Z : C} (f : Y ⟶ Z) (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) : P.complex.X 1 ⟶ Q.complex.X 1 := Q.exact₀.liftFromProjective (P.complex.d 1 0 ≫ liftFZero f P Q) (by simp [liftFZero]) #align category_theory.ProjectiveResolution.lift_f_one CategoryTheory.ProjectiveResolution.liftFOne @[simp] theorem liftFOne_zero_comm {Y Z : C} (f : Y ⟶ Z) (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) : liftFOne f P Q ≫ Q.complex.d 1 0 = P.complex.d 1 0 ≫ liftFZero f P Q := by apply Q.exact₀.liftFromProjective_comp #align category_theory.ProjectiveResolution.lift_f_one_zero_comm CategoryTheory.ProjectiveResolution.liftFOne_zero_comm def liftFSucc {Y Z : C} (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) (n : ℕ) (g : P.complex.X n ⟶ Q.complex.X n) (g' : P.complex.X (n + 1) ⟶ Q.complex.X (n + 1)) (w : g' ≫ Q.complex.d (n + 1) n = P.complex.d (n + 1) n ≫ g) : Σ'g'' : P.complex.X (n + 2) ⟶ Q.complex.X (n + 2), g'' ≫ Q.complex.d (n + 2) (n + 1) = P.complex.d (n + 2) (n + 1) ≫ g' := ⟨(Q.exact_succ n).liftFromProjective (P.complex.d (n + 2) (n + 1) ≫ g') (by simp [w]), (Q.exact_succ n).liftFromProjective_comp _ _⟩ #align category_theory.ProjectiveResolution.lift_f_succ CategoryTheory.ProjectiveResolution.liftFSucc def lift {Y Z : C} (f : Y ⟶ Z) (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) : P.complex ⟶ Q.complex := ChainComplex.mkHom _ _ (liftFZero f _ _) (liftFOne f _ _) (liftFOne_zero_comm f P Q) fun n ⟨g, g', w⟩ => ⟨(liftFSucc P Q n g g' w).1, (liftFSucc P Q n g g' w).2⟩ #align category_theory.ProjectiveResolution.lift CategoryTheory.ProjectiveResolution.lift @[reassoc (attr := simp)] theorem lift_commutes {Y Z : C} (f : Y ⟶ Z) (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) : lift f P Q ≫ Q.π = P.π ≫ (ChainComplex.single₀ C).map f := by ext simp [lift, liftFZero, liftFOne] #align category_theory.ProjectiveResolution.lift_commutes CategoryTheory.ProjectiveResolution.lift_commutes @[reassoc (attr := simp)] lemma lift_commutes_zero {Y Z : C} (f : Y ⟶ Z) (P : ProjectiveResolution Y) (Q : ProjectiveResolution Z) : (lift f P Q).f 0 ≫ Q.π.f 0 = P.π.f 0 ≫ f := (HomologicalComplex.congr_hom (lift_commutes f P Q) 0).trans (by simp) def liftHomotopyZeroZero {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (comm : f ≫ Q.π = 0) : P.complex.X 0 ⟶ Q.complex.X 1 := Q.exact₀.liftFromProjective (f.f 0) (congr_fun (congr_arg HomologicalComplex.Hom.f comm) 0) #align category_theory.ProjectiveResolution.lift_homotopy_zero_zero CategoryTheory.ProjectiveResolution.liftHomotopyZeroZero @[reassoc (attr := simp)] lemma liftHomotopyZeroZero_comp {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (comm : f ≫ Q.π = 0) : liftHomotopyZeroZero f comm ≫ Q.complex.d 1 0 = f.f 0 := Q.exact₀.liftFromProjective_comp _ _ def liftHomotopyZeroOne {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (comm : f ≫ Q.π = 0) : P.complex.X 1 ⟶ Q.complex.X 2 := (Q.exact_succ 0).liftFromProjective (f.f 1 - P.complex.d 1 0 ≫ liftHomotopyZeroZero f comm) (by rw [Preadditive.sub_comp, assoc, HomologicalComplex.Hom.comm, liftHomotopyZeroZero_comp, sub_self]) #align category_theory.ProjectiveResolution.lift_homotopy_zero_one CategoryTheory.ProjectiveResolution.liftHomotopyZeroOne @[reassoc (attr := simp)] lemma liftHomotopyZeroOne_comp {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (comm : f ≫ Q.π = 0) : liftHomotopyZeroOne f comm ≫ Q.complex.d 2 1 = f.f 1 - P.complex.d 1 0 ≫ liftHomotopyZeroZero f comm := (Q.exact_succ 0).liftFromProjective_comp _ _ def liftHomotopyZeroSucc {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (n : ℕ) (g : P.complex.X n ⟶ Q.complex.X (n + 1)) (g' : P.complex.X (n + 1) ⟶ Q.complex.X (n + 2)) (w : f.f (n + 1) = P.complex.d (n + 1) n ≫ g + g' ≫ Q.complex.d (n + 2) (n + 1)) : P.complex.X (n + 2) ⟶ Q.complex.X (n + 3) := (Q.exact_succ (n + 1)).liftFromProjective (f.f (n + 2) - P.complex.d _ _ ≫ g') (by simp [w]) #align category_theory.ProjectiveResolution.lift_homotopy_zero_succ CategoryTheory.ProjectiveResolution.liftHomotopyZeroSucc @[reassoc (attr := simp)] lemma liftHomotopyZeroSucc_comp {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (n : ℕ) (g : P.complex.X n ⟶ Q.complex.X (n + 1)) (g' : P.complex.X (n + 1) ⟶ Q.complex.X (n + 2)) (w : f.f (n + 1) = P.complex.d (n + 1) n ≫ g + g' ≫ Q.complex.d (n + 2) (n + 1)) : liftHomotopyZeroSucc f n g g' w ≫ Q.complex.d (n + 3) (n + 2) = f.f (n + 2) - P.complex.d _ _ ≫ g' := (Q.exact_succ (n+1)).liftFromProjective_comp _ _ def liftHomotopyZero {Y Z : C} {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (f : P.complex ⟶ Q.complex) (comm : f ≫ Q.π = 0) : Homotopy f 0 := Homotopy.mkInductive _ (liftHomotopyZeroZero f comm) (by simp ) (liftHomotopyZeroOne f comm) (by simp) fun n ⟨g, g', w⟩ => ⟨liftHomotopyZeroSucc f n g g' w, by simp⟩ #align category_theory.ProjectiveResolution.lift_homotopy_zero CategoryTheory.ProjectiveResolution.liftHomotopyZero def liftHomotopy {Y Z : C} (f : Y ⟶ Z) {P : ProjectiveResolution Y} {Q : ProjectiveResolution Z} (g h : P.complex ⟶ Q.complex) (g_comm : g ≫ Q.π = P.π ≫ (ChainComplex.single₀ C).map f) (h_comm : h ≫ Q.π = P.π ≫ (ChainComplex.single₀ C).map f) : Homotopy g h := Homotopy.equivSubZero.invFun (liftHomotopyZero _ (by simp [g_comm, h_comm])) #align category_theory.ProjectiveResolution.lift_homotopy CategoryTheory.ProjectiveResolution.liftHomotopy def liftIdHomotopy (X : C) (P : ProjectiveResolution X) : Homotopy (lift (𝟙 X) P P) (𝟙 P.complex) := by apply liftHomotopy (𝟙 X) <;> simp #align category_theory.ProjectiveResolution.lift_id_homotopy CategoryTheory.ProjectiveResolution.liftIdHomotopy def liftCompHomotopy {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) (P : ProjectiveResolution X) (Q : ProjectiveResolution Y) (R : ProjectiveResolution Z) : Homotopy (lift (f ≫ g) P R) (lift f P Q ≫ lift g Q R) := by apply liftHomotopy (f ≫ g) <;> simp #align category_theory.ProjectiveResolution.lift_comp_homotopy CategoryTheory.ProjectiveResolution.liftCompHomotopy -- We don't care about the actual definitions of these homotopies. def homotopyEquiv {X : C} (P Q : ProjectiveResolution X) : HomotopyEquiv P.complex Q.complex where hom := lift (𝟙 X) P Q inv := lift (𝟙 X) Q P homotopyHomInvId := (liftCompHomotopy (𝟙 X) (𝟙 X) P Q P).symm.trans <| by simpa [id_comp] using liftIdHomotopy _ _ homotopyInvHomId := (liftCompHomotopy (𝟙 X) (𝟙 X) Q P Q).symm.trans <| by simpa [id_comp] using liftIdHomotopy _ _ #align category_theory.ProjectiveResolution.homotopy_equiv CategoryTheory.ProjectiveResolution.homotopyEquiv @[reassoc (attr := simp)] theorem homotopyEquiv_hom_π {X : C} (P Q : ProjectiveResolution X) : (homotopyEquiv P Q).hom ≫ Q.π = P.π := by simp [homotopyEquiv] #align category_theory.ProjectiveResolution.homotopy_equiv_hom_π CategoryTheory.ProjectiveResolution.homotopyEquiv_hom_π @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Abelian/ProjectiveResolution.lean
203
204
theorem homotopyEquiv_inv_π {X : C} (P Q : ProjectiveResolution X) : (homotopyEquiv P Q).inv ≫ P.π = Q.π := by
simp [homotopyEquiv]
import Mathlib.Analysis.NormedSpace.AddTorsorBases #align_import analysis.convex.intrinsic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open AffineSubspace Set open scoped Pointwise variable {𝕜 V W Q P : Type*} section AddTorsor variable (𝕜) [Ring 𝕜] [AddCommGroup V] [Module 𝕜 V] [TopologicalSpace P] [AddTorsor V P] {s t : Set P} {x : P} def intrinsicInterior (s : Set P) : Set P := (↑) '' interior ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) #align intrinsic_interior intrinsicInterior def intrinsicFrontier (s : Set P) : Set P := (↑) '' frontier ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) #align intrinsic_frontier intrinsicFrontier def intrinsicClosure (s : Set P) : Set P := (↑) '' closure ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) #align intrinsic_closure intrinsicClosure variable {𝕜} @[simp] theorem mem_intrinsicInterior : x ∈ intrinsicInterior 𝕜 s ↔ ∃ y, y ∈ interior ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) ∧ ↑y = x := mem_image _ _ _ #align mem_intrinsic_interior mem_intrinsicInterior @[simp] theorem mem_intrinsicFrontier : x ∈ intrinsicFrontier 𝕜 s ↔ ∃ y, y ∈ frontier ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) ∧ ↑y = x := mem_image _ _ _ #align mem_intrinsic_frontier mem_intrinsicFrontier @[simp] theorem mem_intrinsicClosure : x ∈ intrinsicClosure 𝕜 s ↔ ∃ y, y ∈ closure ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) ∧ ↑y = x := mem_image _ _ _ #align mem_intrinsic_closure mem_intrinsicClosure theorem intrinsicInterior_subset : intrinsicInterior 𝕜 s ⊆ s := image_subset_iff.2 interior_subset #align intrinsic_interior_subset intrinsicInterior_subset theorem intrinsicFrontier_subset (hs : IsClosed s) : intrinsicFrontier 𝕜 s ⊆ s := image_subset_iff.2 (hs.preimage continuous_induced_dom).frontier_subset #align intrinsic_frontier_subset intrinsicFrontier_subset theorem intrinsicFrontier_subset_intrinsicClosure : intrinsicFrontier 𝕜 s ⊆ intrinsicClosure 𝕜 s := image_subset _ frontier_subset_closure #align intrinsic_frontier_subset_intrinsic_closure intrinsicFrontier_subset_intrinsicClosure theorem subset_intrinsicClosure : s ⊆ intrinsicClosure 𝕜 s := fun x hx => ⟨⟨x, subset_affineSpan _ _ hx⟩, subset_closure hx, rfl⟩ #align subset_intrinsic_closure subset_intrinsicClosure @[simp] theorem intrinsicInterior_empty : intrinsicInterior 𝕜 (∅ : Set P) = ∅ := by simp [intrinsicInterior] #align intrinsic_interior_empty intrinsicInterior_empty @[simp] theorem intrinsicFrontier_empty : intrinsicFrontier 𝕜 (∅ : Set P) = ∅ := by simp [intrinsicFrontier] #align intrinsic_frontier_empty intrinsicFrontier_empty @[simp] theorem intrinsicClosure_empty : intrinsicClosure 𝕜 (∅ : Set P) = ∅ := by simp [intrinsicClosure] #align intrinsic_closure_empty intrinsicClosure_empty @[simp] theorem intrinsicClosure_nonempty : (intrinsicClosure 𝕜 s).Nonempty ↔ s.Nonempty := ⟨by simp_rw [nonempty_iff_ne_empty]; rintro h rfl; exact h intrinsicClosure_empty, Nonempty.mono subset_intrinsicClosure⟩ #align intrinsic_closure_nonempty intrinsicClosure_nonempty alias ⟨Set.Nonempty.ofIntrinsicClosure, Set.Nonempty.intrinsicClosure⟩ := intrinsicClosure_nonempty #align set.nonempty.of_intrinsic_closure Set.Nonempty.ofIntrinsicClosure #align set.nonempty.intrinsic_closure Set.Nonempty.intrinsicClosure --attribute [protected] Set.Nonempty.intrinsicClosure -- Porting note: removed @[simp] theorem intrinsicInterior_singleton (x : P) : intrinsicInterior 𝕜 ({x} : Set P) = {x} := by simpa only [intrinsicInterior, preimage_coe_affineSpan_singleton, interior_univ, image_univ, Subtype.range_coe] using coe_affineSpan_singleton _ _ _ #align intrinsic_interior_singleton intrinsicInterior_singleton @[simp] theorem intrinsicFrontier_singleton (x : P) : intrinsicFrontier 𝕜 ({x} : Set P) = ∅ := by rw [intrinsicFrontier, preimage_coe_affineSpan_singleton, frontier_univ, image_empty] #align intrinsic_frontier_singleton intrinsicFrontier_singleton @[simp] theorem intrinsicClosure_singleton (x : P) : intrinsicClosure 𝕜 ({x} : Set P) = {x} := by simpa only [intrinsicClosure, preimage_coe_affineSpan_singleton, closure_univ, image_univ, Subtype.range_coe] using coe_affineSpan_singleton _ _ _ #align intrinsic_closure_singleton intrinsicClosure_singleton theorem intrinsicClosure_mono (h : s ⊆ t) : intrinsicClosure 𝕜 s ⊆ intrinsicClosure 𝕜 t := by refine image_subset_iff.2 fun x hx => ?_ refine ⟨Set.inclusion (affineSpan_mono _ h) x, ?_, rfl⟩ refine (continuous_inclusion (affineSpan_mono _ h)).closure_preimage_subset _ (closure_mono ?_ hx) exact fun y hy => h hy #align intrinsic_closure_mono intrinsicClosure_mono theorem interior_subset_intrinsicInterior : interior s ⊆ intrinsicInterior 𝕜 s := fun x hx => ⟨⟨x, subset_affineSpan _ _ <| interior_subset hx⟩, preimage_interior_subset_interior_preimage continuous_subtype_val hx, rfl⟩ #align interior_subset_intrinsic_interior interior_subset_intrinsicInterior theorem intrinsicClosure_subset_closure : intrinsicClosure 𝕜 s ⊆ closure s := image_subset_iff.2 <| continuous_subtype_val.closure_preimage_subset _ #align intrinsic_closure_subset_closure intrinsicClosure_subset_closure theorem intrinsicFrontier_subset_frontier : intrinsicFrontier 𝕜 s ⊆ frontier s := image_subset_iff.2 <| continuous_subtype_val.frontier_preimage_subset _ #align intrinsic_frontier_subset_frontier intrinsicFrontier_subset_frontier theorem intrinsicClosure_subset_affineSpan : intrinsicClosure 𝕜 s ⊆ affineSpan 𝕜 s := (image_subset_range _ _).trans Subtype.range_coe.subset #align intrinsic_closure_subset_affine_span intrinsicClosure_subset_affineSpan @[simp] theorem intrinsicClosure_diff_intrinsicFrontier (s : Set P) : intrinsicClosure 𝕜 s \ intrinsicFrontier 𝕜 s = intrinsicInterior 𝕜 s := (image_diff Subtype.coe_injective _ _).symm.trans <| by rw [closure_diff_frontier, intrinsicInterior] #align intrinsic_closure_diff_intrinsic_frontier intrinsicClosure_diff_intrinsicFrontier @[simp] theorem intrinsicClosure_diff_intrinsicInterior (s : Set P) : intrinsicClosure 𝕜 s \ intrinsicInterior 𝕜 s = intrinsicFrontier 𝕜 s := (image_diff Subtype.coe_injective _ _).symm #align intrinsic_closure_diff_intrinsic_interior intrinsicClosure_diff_intrinsicInterior @[simp] theorem intrinsicInterior_union_intrinsicFrontier (s : Set P) : intrinsicInterior 𝕜 s ∪ intrinsicFrontier 𝕜 s = intrinsicClosure 𝕜 s := by simp [intrinsicClosure, intrinsicInterior, intrinsicFrontier, closure_eq_interior_union_frontier, image_union] #align intrinsic_interior_union_intrinsic_frontier intrinsicInterior_union_intrinsicFrontier @[simp]
Mathlib/Analysis/Convex/Intrinsic.lean
202
204
theorem intrinsicFrontier_union_intrinsicInterior (s : Set P) : intrinsicFrontier 𝕜 s ∪ intrinsicInterior 𝕜 s = intrinsicClosure 𝕜 s := by
rw [union_comm, intrinsicInterior_union_intrinsicFrontier]
import Mathlib.Combinatorics.Quiver.Path import Mathlib.Combinatorics.Quiver.Push #align_import combinatorics.quiver.symmetric from "leanprover-community/mathlib"@"706d88f2b8fdfeb0b22796433d7a6c1a010af9f2" universe v u w v' namespace Quiver -- Porting note: no hasNonemptyInstance linter yet def Symmetrify (V : Type*) := V #align quiver.symmetrify Quiver.Symmetrify instance symmetrifyQuiver (V : Type u) [Quiver V] : Quiver (Symmetrify V) := ⟨fun a b : V ↦ Sum (a ⟶ b) (b ⟶ a)⟩ variable (U V W : Type*) [Quiver.{u + 1} U] [Quiver.{v + 1} V] [Quiver.{w + 1} W] class HasReverse where reverse' : ∀ {a b : V}, (a ⟶ b) → (b ⟶ a) #align quiver.has_reverse Quiver.HasReverse def reverse {V} [Quiver.{v + 1} V] [HasReverse V] {a b : V} : (a ⟶ b) → (b ⟶ a) := HasReverse.reverse' #align quiver.reverse Quiver.reverse class HasInvolutiveReverse extends HasReverse V where inv' : ∀ {a b : V} (f : a ⟶ b), reverse (reverse f) = f #align quiver.has_involutive_reverse Quiver.HasInvolutiveReverse variable {U V W} @[simp] theorem reverse_reverse [h : HasInvolutiveReverse V] {a b : V} (f : a ⟶ b) : reverse (reverse f) = f := by apply h.inv' #align quiver.reverse_reverse Quiver.reverse_reverse @[simp] theorem reverse_inj [h : HasInvolutiveReverse V] {a b : V} (f g : a ⟶ b) : reverse f = reverse g ↔ f = g := by constructor · rintro h simpa using congr_arg Quiver.reverse h · rintro h congr #align quiver.reverse_inj Quiver.reverse_inj theorem eq_reverse_iff [h : HasInvolutiveReverse V] {a b : V} (f : a ⟶ b) (g : b ⟶ a) : f = reverse g ↔ reverse f = g := by rw [← reverse_inj, reverse_reverse] #align quiver.eq_reverse_iff Quiver.eq_reverse_iff instance : HasReverse (Symmetrify V) := ⟨fun e => e.swap⟩ instance : HasInvolutiveReverse (Symmetrify V) where toHasReverse := ⟨fun e ↦ e.swap⟩ inv' e := congr_fun Sum.swap_swap_eq e @[simp] theorem symmetrify_reverse {a b : Symmetrify V} (e : a ⟶ b) : reverse e = e.swap := rfl #align quiver.symmetrify_reverse Quiver.symmetrify_reverse namespace Symmetrify def of : Prefunctor V (Symmetrify V) where obj := id map := Sum.inl #align quiver.symmetrify.of Quiver.Symmetrify.of variable {V' : Type*} [Quiver.{v' + 1} V'] def lift [HasReverse V'] (φ : Prefunctor V V') : Prefunctor (Symmetrify V) V' where obj := φ.obj map f := match f with | Sum.inl g => φ.map g | Sum.inr g => reverse (φ.map g) #align quiver.symmetrify.lift Quiver.Symmetrify.lift theorem lift_spec [HasReverse V'] (φ : Prefunctor V V') : Symmetrify.of.comp (Symmetrify.lift φ) = φ := by fapply Prefunctor.ext · rintro X rfl · rintro X Y f rfl #align quiver.symmetrify.lift_spec Quiver.Symmetrify.lift_spec theorem lift_reverse [h : HasInvolutiveReverse V'] (φ : Prefunctor V V') {X Y : Symmetrify V} (f : X ⟶ Y) : (Symmetrify.lift φ).map (Quiver.reverse f) = Quiver.reverse ((Symmetrify.lift φ).map f) := by dsimp [Symmetrify.lift]; cases f · simp only rfl · simp only [reverse_reverse] rfl #align quiver.symmetrify.lift_reverse Quiver.Symmetrify.lift_reverse
Mathlib/Combinatorics/Quiver/Symmetric.lean
208
219
theorem lift_unique [HasReverse V'] (φ : V ⥤q V') (Φ : Symmetrify V ⥤q V') (hΦ : (of ⋙q Φ) = φ) (hΦinv : ∀ {X Y : Symmetrify V} (f : X ⟶ Y), Φ.map (Quiver.reverse f) = Quiver.reverse (Φ.map f)) : Φ = Symmetrify.lift φ := by
subst_vars fapply Prefunctor.ext · rintro X rfl · rintro X Y f cases f · rfl · exact hΦinv (Sum.inl _)
import Mathlib.Topology.UniformSpace.CompleteSeparated import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.MetricSpace.Basic import Mathlib.Topology.MetricSpace.Bounded #align_import topology.metric_space.antilipschitz from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" variable {α β γ : Type*} open scoped NNReal ENNReal Uniformity Topology open Set Filter Bornology def AntilipschitzWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) := ∀ x y, edist x y ≤ K * edist (f x) (f y) #align antilipschitz_with AntilipschitzWith theorem AntilipschitzWith.edist_lt_top [PseudoEMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0} {f : α → β} (h : AntilipschitzWith K f) (x y : α) : edist x y < ⊤ := (h x y).trans_lt <| ENNReal.mul_lt_top ENNReal.coe_ne_top (edist_ne_top _ _) #align antilipschitz_with.edist_lt_top AntilipschitzWith.edist_lt_top theorem AntilipschitzWith.edist_ne_top [PseudoEMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0} {f : α → β} (h : AntilipschitzWith K f) (x y : α) : edist x y ≠ ⊤ := (h.edist_lt_top x y).ne #align antilipschitz_with.edist_ne_top AntilipschitzWith.edist_ne_top section Metric variable [PseudoMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0} {f : α → β}
Mathlib/Topology/MetricSpace/Antilipschitz.lean
53
56
theorem antilipschitzWith_iff_le_mul_nndist : AntilipschitzWith K f ↔ ∀ x y, nndist x y ≤ K * nndist (f x) (f y) := by
simp only [AntilipschitzWith, edist_nndist] norm_cast
import Mathlib.Data.Matrix.Invertible import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.PosDef #align_import linear_algebra.matrix.schur_complement from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af" variable {l m n α : Type*} namespace Matrix open scoped Matrix section CommRing variable [Fintype l] [Fintype m] [Fintype n] variable [DecidableEq l] [DecidableEq m] [DecidableEq n] variable [CommRing α] theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α) (D : Matrix l n α) [Invertible A] : fromBlocks A B C D = fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) * fromBlocks 1 (⅟ A * B) 0 1 := by simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add, Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_self_assoc, Matrix.mul_invOf_mul_self_cancel, Matrix.mul_assoc, add_sub_cancel] #align matrix.from_blocks_eq_of_invertible₁₁ Matrix.fromBlocks_eq_of_invertible₁₁ theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible D] : fromBlocks A B C D = fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D * fromBlocks 1 0 (⅟ D * C) 1 := (Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply, fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A #align matrix.from_blocks_eq_of_invertible₂₂ Matrix.fromBlocks_eq_of_invertible₂₂ section Det theorem det_fromBlocks₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible A] : (Matrix.fromBlocks A B C D).det = det A * det (D - C * ⅟ A * B) := by rw [fromBlocks_eq_of_invertible₁₁ (A := A), det_mul, det_mul, det_fromBlocks_zero₂₁, det_fromBlocks_zero₂₁, det_fromBlocks_zero₁₂, det_one, det_one, one_mul, one_mul, mul_one] #align matrix.det_from_blocks₁₁ Matrix.det_fromBlocks₁₁ @[simp] theorem det_fromBlocks_one₁₁ (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) : (Matrix.fromBlocks 1 B C D).det = det (D - C * B) := by haveI : Invertible (1 : Matrix m m α) := invertibleOne rw [det_fromBlocks₁₁, invOf_one, Matrix.mul_one, det_one, one_mul] #align matrix.det_from_blocks_one₁₁ Matrix.det_fromBlocks_one₁₁ theorem det_fromBlocks₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible D] : (Matrix.fromBlocks A B C D).det = det D * det (A - B * ⅟ D * C) := by have : fromBlocks A B C D = (fromBlocks D C B A).submatrix (Equiv.sumComm _ _) (Equiv.sumComm _ _) := by ext (i j) cases i <;> cases j <;> rfl rw [this, det_submatrix_equiv_self, det_fromBlocks₁₁] #align matrix.det_from_blocks₂₂ Matrix.det_fromBlocks₂₂ @[simp] theorem det_fromBlocks_one₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) : (Matrix.fromBlocks A B C 1).det = det (A - B * C) := by haveI : Invertible (1 : Matrix n n α) := invertibleOne rw [det_fromBlocks₂₂, invOf_one, Matrix.mul_one, det_one, one_mul] #align matrix.det_from_blocks_one₂₂ Matrix.det_fromBlocks_one₂₂ theorem det_one_add_mul_comm (A : Matrix m n α) (B : Matrix n m α) : det (1 + A * B) = det (1 + B * A) := calc det (1 + A * B) = det (fromBlocks 1 (-A) B 1) := by rw [det_fromBlocks_one₂₂, Matrix.neg_mul, sub_neg_eq_add] _ = det (1 + B * A) := by rw [det_fromBlocks_one₁₁, Matrix.mul_neg, sub_neg_eq_add] #align matrix.det_one_add_mul_comm Matrix.det_one_add_mul_comm
Mathlib/LinearAlgebra/Matrix/SchurComplement.lean
434
435
theorem det_mul_add_one_comm (A : Matrix m n α) (B : Matrix n m α) : det (A * B + 1) = det (B * A + 1) := by
rw [add_comm, det_one_add_mul_comm, add_comm]
import Mathlib.Data.Set.Subsingleton import Mathlib.Order.WithBot #align_import data.set.image from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29" universe u v open Function Set namespace Set variable {α β γ : Type*} {ι ι' : Sort*} section Image variable {f : α → β} {s t : Set α} -- Porting note: `Set.image` is already defined in `Init.Set` #align set.image Set.image @[deprecated mem_image (since := "2024-03-23")] theorem mem_image_iff_bex {f : α → β} {s : Set α} {y : β} : y ∈ f '' s ↔ ∃ (x : _) (_ : x ∈ s), f x = y := bex_def.symm #align set.mem_image_iff_bex Set.mem_image_iff_bex theorem image_eta (f : α → β) : f '' s = (fun x => f x) '' s := rfl #align set.image_eta Set.image_eta theorem _root_.Function.Injective.mem_set_image {f : α → β} (hf : Injective f) {s : Set α} {a : α} : f a ∈ f '' s ↔ a ∈ s := ⟨fun ⟨_, hb, Eq⟩ => hf Eq ▸ hb, mem_image_of_mem f⟩ #align function.injective.mem_set_image Function.Injective.mem_set_image theorem forall_mem_image {f : α → β} {s : Set α} {p : β → Prop} : (∀ y ∈ f '' s, p y) ↔ ∀ ⦃x⦄, x ∈ s → p (f x) := by simp #align set.ball_image_iff Set.forall_mem_image theorem exists_mem_image {f : α → β} {s : Set α} {p : β → Prop} : (∃ y ∈ f '' s, p y) ↔ ∃ x ∈ s, p (f x) := by simp #align set.bex_image_iff Set.exists_mem_image @[deprecated (since := "2024-02-21")] alias ball_image_iff := forall_mem_image @[deprecated (since := "2024-02-21")] alias bex_image_iff := exists_mem_image @[deprecated (since := "2024-02-21")] alias ⟨_, ball_image_of_ball⟩ := forall_mem_image #align set.ball_image_of_ball Set.ball_image_of_ball @[deprecated forall_mem_image (since := "2024-02-21")] theorem mem_image_elim {f : α → β} {s : Set α} {C : β → Prop} (h : ∀ x : α, x ∈ s → C (f x)) : ∀ {y : β}, y ∈ f '' s → C y := forall_mem_image.2 h _ #align set.mem_image_elim Set.mem_image_elim @[deprecated forall_mem_image (since := "2024-02-21")] theorem mem_image_elim_on {f : α → β} {s : Set α} {C : β → Prop} {y : β} (h_y : y ∈ f '' s) (h : ∀ x : α, x ∈ s → C (f x)) : C y := forall_mem_image.2 h _ h_y #align set.mem_image_elim_on Set.mem_image_elim_on -- Porting note: used to be `safe` @[congr] theorem image_congr {f g : α → β} {s : Set α} (h : ∀ a ∈ s, f a = g a) : f '' s = g '' s := by ext x exact exists_congr fun a ↦ and_congr_right fun ha ↦ by rw [h a ha] #align set.image_congr Set.image_congr theorem image_congr' {f g : α → β} {s : Set α} (h : ∀ x : α, f x = g x) : f '' s = g '' s := image_congr fun x _ => h x #align set.image_congr' Set.image_congr' @[gcongr] lemma image_mono (h : s ⊆ t) : f '' s ⊆ f '' t := by rintro - ⟨a, ha, rfl⟩; exact mem_image_of_mem f (h ha) theorem image_comp (f : β → γ) (g : α → β) (a : Set α) : f ∘ g '' a = f '' (g '' a) := by aesop #align set.image_comp Set.image_comp theorem image_comp_eq {g : β → γ} : image (g ∘ f) = image g ∘ image f := by ext; simp theorem image_image (g : β → γ) (f : α → β) (s : Set α) : g '' (f '' s) = (fun x => g (f x)) '' s := (image_comp g f s).symm #align set.image_image Set.image_image theorem image_comm {β'} {f : β → γ} {g : α → β} {f' : α → β'} {g' : β' → γ} (h_comm : ∀ a, f (g a) = g' (f' a)) : (s.image g).image f = (s.image f').image g' := by simp_rw [image_image, h_comm] #align set.image_comm Set.image_comm theorem _root_.Function.Semiconj.set_image {f : α → β} {ga : α → α} {gb : β → β} (h : Function.Semiconj f ga gb) : Function.Semiconj (image f) (image ga) (image gb) := fun _ => image_comm h #align function.semiconj.set_image Function.Semiconj.set_image theorem _root_.Function.Commute.set_image {f g : α → α} (h : Function.Commute f g) : Function.Commute (image f) (image g) := Function.Semiconj.set_image h #align function.commute.set_image Function.Commute.set_image @[gcongr] theorem image_subset {a b : Set α} (f : α → β) (h : a ⊆ b) : f '' a ⊆ f '' b := by simp only [subset_def, mem_image] exact fun x => fun ⟨w, h1, h2⟩ => ⟨w, h h1, h2⟩ #align set.image_subset Set.image_subset lemma monotone_image {f : α → β} : Monotone (image f) := fun _ _ => image_subset _ #align set.monotone_image Set.monotone_image theorem image_union (f : α → β) (s t : Set α) : f '' (s ∪ t) = f '' s ∪ f '' t := ext fun x => ⟨by rintro ⟨a, h | h, rfl⟩ <;> [left; right] <;> exact ⟨_, h, rfl⟩, by rintro (⟨a, h, rfl⟩ | ⟨a, h, rfl⟩) <;> refine ⟨_, ?_, rfl⟩ · exact mem_union_left t h · exact mem_union_right s h⟩ #align set.image_union Set.image_union @[simp] theorem image_empty (f : α → β) : f '' ∅ = ∅ := by ext simp #align set.image_empty Set.image_empty theorem image_inter_subset (f : α → β) (s t : Set α) : f '' (s ∩ t) ⊆ f '' s ∩ f '' t := subset_inter (image_subset _ inter_subset_left) (image_subset _ inter_subset_right) #align set.image_inter_subset Set.image_inter_subset theorem image_inter_on {f : α → β} {s t : Set α} (h : ∀ x ∈ t, ∀ y ∈ s, f x = f y → x = y) : f '' (s ∩ t) = f '' s ∩ f '' t := (image_inter_subset _ _ _).antisymm fun b ⟨⟨a₁, ha₁, h₁⟩, ⟨a₂, ha₂, h₂⟩⟩ ↦ have : a₂ = a₁ := h _ ha₂ _ ha₁ (by simp [*]) ⟨a₁, ⟨ha₁, this ▸ ha₂⟩, h₁⟩ #align set.image_inter_on Set.image_inter_on theorem image_inter {f : α → β} {s t : Set α} (H : Injective f) : f '' (s ∩ t) = f '' s ∩ f '' t := image_inter_on fun _ _ _ _ h => H h #align set.image_inter Set.image_inter theorem image_univ_of_surjective {ι : Type*} {f : ι → β} (H : Surjective f) : f '' univ = univ := eq_univ_of_forall <| by simpa [image] #align set.image_univ_of_surjective Set.image_univ_of_surjective @[simp] theorem image_singleton {f : α → β} {a : α} : f '' {a} = {f a} := by ext simp [image, eq_comm] #align set.image_singleton Set.image_singleton @[simp] theorem Nonempty.image_const {s : Set α} (hs : s.Nonempty) (a : β) : (fun _ => a) '' s = {a} := ext fun _ => ⟨fun ⟨_, _, h⟩ => h ▸ mem_singleton _, fun h => (eq_of_mem_singleton h).symm ▸ hs.imp fun _ hy => ⟨hy, rfl⟩⟩ #align set.nonempty.image_const Set.Nonempty.image_const @[simp, mfld_simps] theorem image_eq_empty {α β} {f : α → β} {s : Set α} : f '' s = ∅ ↔ s = ∅ := by simp only [eq_empty_iff_forall_not_mem] exact ⟨fun H a ha => H _ ⟨_, ha, rfl⟩, fun H b ⟨_, ha, _⟩ => H _ ha⟩ #align set.image_eq_empty Set.image_eq_empty -- Porting note: `compl` is already defined in `Init.Set` theorem preimage_compl_eq_image_compl [BooleanAlgebra α] (S : Set α) : HasCompl.compl ⁻¹' S = HasCompl.compl '' S := Set.ext fun x => ⟨fun h => ⟨xᶜ, h, compl_compl x⟩, fun h => Exists.elim h fun _ hy => (compl_eq_comm.mp hy.2).symm.subst hy.1⟩ #align set.preimage_compl_eq_image_compl Set.preimage_compl_eq_image_compl theorem mem_compl_image [BooleanAlgebra α] (t : α) (S : Set α) : t ∈ HasCompl.compl '' S ↔ tᶜ ∈ S := by simp [← preimage_compl_eq_image_compl] #align set.mem_compl_image Set.mem_compl_image @[simp]
Mathlib/Data/Set/Image.lean
367
367
theorem image_id_eq : image (id : α → α) = id := by
ext; simp
import Mathlib.Topology.Constructions #align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set Filter Function Topology Filter variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} variable [TopologicalSpace α] @[simp] theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a := bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl #align nhds_bind_nhds_within nhds_bind_nhdsWithin @[simp] theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x } #align eventually_nhds_nhds_within eventually_nhds_nhdsWithin theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x := eventually_inf_principal #align eventually_nhds_within_iff eventually_nhdsWithin_iff theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} : (∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s := frequently_inf_principal.trans <| by simp only [and_comm] #align frequently_nhds_within_iff frequently_nhdsWithin_iff theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} : z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff] #align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within @[simp] theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩ simp only [eventually_nhdsWithin_iff] at h ⊢ exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs #align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin theorem nhdsWithin_eq (a : α) (s : Set α) : 𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) := ((nhds_basis_opens a).inf_principal s).eq_biInf #align nhds_within_eq nhdsWithin_eq theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by rw [nhdsWithin, principal_univ, inf_top_eq] #align nhds_within_univ nhdsWithin_univ theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s) (t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t := h.inf_principal t #align nhds_within_has_basis nhdsWithin_hasBasis theorem nhdsWithin_basis_open (a : α) (t : Set α) : (𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t := nhdsWithin_hasBasis (nhds_basis_opens a) t #align nhds_within_basis_open nhdsWithin_basis_open theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff #align mem_nhds_within mem_nhdsWithin theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t := (nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff #align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) : s \ t ∈ 𝓝[tᶜ] x := diff_mem_inf_principal_compl hs t #align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) : s \ t' ∈ 𝓝[t \ t'] x := by rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc] exact inter_mem_inf hs (mem_principal_self _) #align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) : t ∈ 𝓝 a := by rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩ exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw #align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t := eventually_inf_principal #align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and] #align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t := set_eventuallyEq_iff_inf_principal.symm #align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x := set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal #align nhds_within_le_iff nhdsWithin_le_iff -- Porting note: golfed, dropped an unneeded assumption theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝[t] a := by lift a to t using h replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs rwa [← map_nhds_subtype_val, mem_map] #align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a := mem_inf_of_left h #align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a := mem_inf_of_right (mem_principal_self s) #align self_mem_nhds_within self_mem_nhdsWithin theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s := self_mem_nhdsWithin #align eventually_mem_nhds_within eventually_mem_nhdsWithin theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a := inter_mem self_mem_nhdsWithin (mem_inf_of_left h) #align inter_mem_nhds_within inter_mem_nhdsWithin theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a := inf_le_inf_left _ (principal_mono.mpr h) #align nhds_within_mono nhdsWithin_mono theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a := le_inf (pure_le_nhds a) (le_principal_iff.2 ha) #align pure_le_nhds_within pure_le_nhdsWithin theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t := pure_le_nhdsWithin ha ht #align mem_of_mem_nhds_within mem_of_mem_nhdsWithin theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α} (h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x := mem_of_mem_nhdsWithin hx h #align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) : Tendsto (fun _ : β => a) l (𝓝[s] a) := tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha #align tendsto_const_nhds_within tendsto_const_nhdsWithin theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s] a = 𝓝[s ∩ t] a := le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h))) (inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left)) #align nhds_within_restrict'' nhdsWithin_restrict'' theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict'' s <| mem_inf_of_left h #align nhds_within_restrict' nhdsWithin_restrict' theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀) #align nhds_within_restrict nhdsWithin_restrict theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a := nhdsWithin_le_iff.mpr h #align nhds_within_le_of_mem nhdsWithin_le_of_mem theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by rw [← nhdsWithin_univ] apply nhdsWithin_le_of_mem exact univ_mem #align nhds_within_le_nhds nhdsWithin_le_nhds theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂] #align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin' theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂] #align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin @[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a := inf_eq_left.trans le_principal_iff #align nhds_within_eq_nhds nhdsWithin_eq_nhds theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a := nhdsWithin_eq_nhds.2 <| h.mem_nhds ha #align is_open.nhds_within_eq IsOpen.nhdsWithin_eq theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (ht : IsOpen t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝 a := by rw [← ht.nhdsWithin_eq h] exact preimage_nhdsWithin_coinduced' h hs #align preimage_nhds_within_coinduced preimage_nhds_within_coinduced @[simp] theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq] #align nhds_within_empty nhdsWithin_empty theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by delta nhdsWithin rw [← inf_sup_left, sup_principal] #align nhds_within_union nhdsWithin_union theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) : 𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a := Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert] #align nhds_within_bUnion nhdsWithin_biUnion theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) : 𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS] #align nhds_within_sUnion nhdsWithin_sUnion theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) : 𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range] #align nhds_within_Union nhdsWithin_iUnion theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by delta nhdsWithin rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem] #align nhds_within_inter nhdsWithin_inter theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by delta nhdsWithin rw [← inf_principal, inf_assoc] #align nhds_within_inter' nhdsWithin_inter' theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by rw [nhdsWithin_inter, inf_eq_right] exact nhdsWithin_le_of_mem h #align nhds_within_inter_of_mem nhdsWithin_inter_of_mem theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by rw [inter_comm, nhdsWithin_inter_of_mem h] #align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem' @[simp] theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)] #align nhds_within_singleton nhdsWithin_singleton @[simp] theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton] #align nhds_within_insert nhdsWithin_insert theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by simp #align mem_nhds_within_insert mem_nhdsWithin_insert theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h] #align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left, insert_def] #align insert_mem_nhds_iff insert_mem_nhds_iff @[simp] theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ] #align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β] {s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) : u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by rw [nhdsWithin_prod_eq] exact prod_mem_prod hu hv #align nhds_within_prod nhdsWithin_prod theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} (hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ← iInf_principal_finite hI, ← iInf_inf_eq] #align nhds_within_pi_eq' nhdsWithin_pi_eq' theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} (hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi I s] x = (⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓ ⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf, comap_principal, eval] rw [iInf_split _ fun i => i ∈ I, inf_right_comm] simp only [iInf_inf_eq] #align nhds_within_pi_eq nhdsWithin_pi_eq theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)] (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x #align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot] #align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by simp [neBot_iff, nhdsWithin_pi_eq_bot] #align nhds_within_pi_ne_bot nhdsWithin_pi_neBot theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)] {a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l) (h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter'] #align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l) (h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) : Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l := h₀.piecewise_nhdsWithin h₁ #align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) : map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) := ((nhdsWithin_basis_open a s).map f).eq_biInf #align map_nhds_within map_nhdsWithin theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t) (h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l := h.mono_left <| nhdsWithin_mono a hst #align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t) (h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) := h.mono_right (nhdsWithin_mono a hst) #align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l := h.mono_left inf_le_left #align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff, eventually_and] at h exact (h univ ⟨mem_univ a, isOpen_univ⟩).2 #align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) := h.mono_right nhdsWithin_le_nhds #align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) := mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx #align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α} (hx : NeBot <| 𝓝[s] x) : x ∈ s := hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx #align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) : NeBot (𝓝[range f] x) := mem_closure_iff_clusterPt.1 (h x) #align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot] #align mem_closure_pi mem_closure_pi theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι) (s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) := Set.ext fun _ => mem_closure_pi #align closure_pi_set closure_pi_set theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)} (I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq, pi_univ] #align dense_pi dense_pi theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} : f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x := mem_inf_principal #align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) : f =ᶠ[𝓝[s] a] g := mem_inf_of_right h #align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) : f =ᶠ[𝓝[s] a] g := eventuallyEq_nhdsWithin_of_eqOn h #align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β} (hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l := (tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf #align tendsto_nhds_within_congr tendsto_nhdsWithin_congr theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) : ∀ᶠ x in 𝓝[s] a, p x := mem_inf_of_right h #align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α} (f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) := tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩ #align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} : Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s := ⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h => tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩ #align tendsto_nhds_within_iff tendsto_nhdsWithin_iff @[simp] theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} : Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) := ⟨fun h => h.mono_right inf_le_left, fun h => tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩ #align tendsto_nhds_within_range tendsto_nhdsWithin_range theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g) (hmem : a ∈ s) : f a = g a := h.self_of_nhdsWithin hmem #align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α} {a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x := mem_nhdsWithin_of_mem_nhds h #align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} : t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin] #align mem_nhds_within_subtype mem_nhdsWithin_subtype theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) : 𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) := Filter.ext fun _ => mem_nhdsWithin_subtype #align nhds_within_subtype nhdsWithin_subtype theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) : 𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) := (map_nhds_subtype_val ⟨a, h⟩).symm #align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} : t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective] #align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by rw [← map_nhds_subtype_val, mem_map] #align preimage_coe_mem_nhds_subtype preimage_coe_mem_nhds_subtype theorem eventually_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) : (∀ᶠ x : s in 𝓝 a, P x) ↔ ∀ᶠ x in 𝓝[s] a, P x := preimage_coe_mem_nhds_subtype theorem frequently_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) : (∃ᶠ x : s in 𝓝 a, P x) ↔ ∃ᶠ x in 𝓝[s] a, P x := eventually_nhds_subtype_iff s a (¬ P ·) |>.not theorem tendsto_nhdsWithin_iff_subtype {s : Set α} {a : α} (h : a ∈ s) (f : α → β) (l : Filter β) : Tendsto f (𝓝[s] a) l ↔ Tendsto (s.restrict f) (𝓝 ⟨a, h⟩) l := by rw [nhdsWithin_eq_map_subtype_coe h, tendsto_map'_iff]; rfl #align tendsto_nhds_within_iff_subtype tendsto_nhdsWithin_iff_subtype variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ] theorem ContinuousWithinAt.tendsto {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝 (f x)) := h #align continuous_within_at.tendsto ContinuousWithinAt.tendsto theorem ContinuousOn.continuousWithinAt {f : α → β} {s : Set α} {x : α} (hf : ContinuousOn f s) (hx : x ∈ s) : ContinuousWithinAt f s x := hf x hx #align continuous_on.continuous_within_at ContinuousOn.continuousWithinAt theorem continuousWithinAt_univ (f : α → β) (x : α) : ContinuousWithinAt f Set.univ x ↔ ContinuousAt f x := by rw [ContinuousAt, ContinuousWithinAt, nhdsWithin_univ] #align continuous_within_at_univ continuousWithinAt_univ theorem continuous_iff_continuousOn_univ {f : α → β} : Continuous f ↔ ContinuousOn f univ := by simp [continuous_iff_continuousAt, ContinuousOn, ContinuousAt, ContinuousWithinAt, nhdsWithin_univ] #align continuous_iff_continuous_on_univ continuous_iff_continuousOn_univ theorem continuousWithinAt_iff_continuousAt_restrict (f : α → β) {x : α} {s : Set α} (h : x ∈ s) : ContinuousWithinAt f s x ↔ ContinuousAt (s.restrict f) ⟨x, h⟩ := tendsto_nhdsWithin_iff_subtype h f _ #align continuous_within_at_iff_continuous_at_restrict continuousWithinAt_iff_continuousAt_restrict theorem ContinuousWithinAt.tendsto_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β} (h : ContinuousWithinAt f s x) (ht : MapsTo f s t) : Tendsto f (𝓝[s] x) (𝓝[t] f x) := tendsto_inf.2 ⟨h, tendsto_principal.2 <| mem_inf_of_right <| mem_principal.2 <| ht⟩ #align continuous_within_at.tendsto_nhds_within ContinuousWithinAt.tendsto_nhdsWithin theorem ContinuousWithinAt.tendsto_nhdsWithin_image {f : α → β} {x : α} {s : Set α} (h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝[f '' s] f x) := h.tendsto_nhdsWithin (mapsTo_image _ _) #align continuous_within_at.tendsto_nhds_within_image ContinuousWithinAt.tendsto_nhdsWithin_image theorem ContinuousWithinAt.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} {x : α} {y : β} (hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g t y) : ContinuousWithinAt (Prod.map f g) (s ×ˢ t) (x, y) := by unfold ContinuousWithinAt at * rw [nhdsWithin_prod_eq, Prod.map, nhds_prod_eq] exact hf.prod_map hg #align continuous_within_at.prod_map ContinuousWithinAt.prod_map theorem continuousWithinAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} {x : α × β} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨x.1, ·⟩) {b | (x.1, b) ∈ s} x.2 := by rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, pure_prod, ← map_inf_principal_preimage]; rfl theorem continuousWithinAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} {x : α × β} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨·, x.2⟩) {a | (a, x.2) ∈ s} x.1 := by rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, prod_pure, ← map_inf_principal_preimage]; rfl theorem continuousAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {x : α × β} : ContinuousAt f x ↔ ContinuousAt (f ⟨x.1, ·⟩) x.2 := by simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_left theorem continuousAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {x : α × β} : ContinuousAt f x ↔ ContinuousAt (f ⟨·, x.2⟩) x.1 := by simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_right theorem continuousOn_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} : ContinuousOn f s ↔ ∀ a, ContinuousOn (f ⟨a, ·⟩) {b | (a, b) ∈ s} := by simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_left]; rfl theorem continuousOn_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} : ContinuousOn f s ↔ ∀ b, ContinuousOn (f ⟨·, b⟩) {a | (a, b) ∈ s} := by simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_right]; apply forall_swap theorem continuous_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} : Continuous f ↔ ∀ a, Continuous (f ⟨a, ·⟩) := by simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_left theorem continuous_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} : Continuous f ↔ ∀ b, Continuous (f ⟨·, b⟩) := by simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_right theorem isOpenMap_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} : IsOpenMap f ↔ ∀ a, IsOpenMap (f ⟨a, ·⟩) := by simp_rw [isOpenMap_iff_nhds_le, Prod.forall, nhds_prod_eq, nhds_discrete, pure_prod, map_map] rfl theorem isOpenMap_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} : IsOpenMap f ↔ ∀ b, IsOpenMap (f ⟨·, b⟩) := by simp_rw [isOpenMap_iff_nhds_le, Prod.forall, forall_swap (α := α) (β := β), nhds_prod_eq, nhds_discrete, prod_pure, map_map]; rfl theorem continuousWithinAt_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} {x : α} : ContinuousWithinAt f s x ↔ ∀ i, ContinuousWithinAt (fun y => f y i) s x := tendsto_pi_nhds #align continuous_within_at_pi continuousWithinAt_pi theorem continuousOn_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} : ContinuousOn f s ↔ ∀ i, ContinuousOn (fun y => f y i) s := ⟨fun h i x hx => tendsto_pi_nhds.1 (h x hx) i, fun h x hx => tendsto_pi_nhds.2 fun i => h i x hx⟩ #align continuous_on_pi continuousOn_pi @[fun_prop] theorem continuousOn_pi' {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} (hf : ∀ i, ContinuousOn (fun y => f y i) s) : ContinuousOn f s := continuousOn_pi.2 hf theorem ContinuousWithinAt.fin_insertNth {n} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {a : α} {s : Set α} (hf : ContinuousWithinAt f s a) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousWithinAt g s a) : ContinuousWithinAt (fun a => i.insertNth (f a) (g a)) s a := hf.tendsto.fin_insertNth i hg #align continuous_within_at.fin_insert_nth ContinuousWithinAt.fin_insertNth nonrec theorem ContinuousOn.fin_insertNth {n} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {s : Set α} (hf : ContinuousOn f s) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousOn g s) : ContinuousOn (fun a => i.insertNth (f a) (g a)) s := fun a ha => (hf a ha).fin_insertNth i (hg a ha) #align continuous_on.fin_insert_nth ContinuousOn.fin_insertNth theorem continuousOn_iff {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ x ∈ s, ∀ t : Set β, IsOpen t → f x ∈ t → ∃ u, IsOpen u ∧ x ∈ u ∧ u ∩ s ⊆ f ⁻¹' t := by simp only [ContinuousOn, ContinuousWithinAt, tendsto_nhds, mem_nhdsWithin] #align continuous_on_iff continuousOn_iff theorem continuousOn_iff_continuous_restrict {f : α → β} {s : Set α} : ContinuousOn f s ↔ Continuous (s.restrict f) := by rw [ContinuousOn, continuous_iff_continuousAt]; constructor · rintro h ⟨x, xs⟩ exact (continuousWithinAt_iff_continuousAt_restrict f xs).mp (h x xs) intro h x xs exact (continuousWithinAt_iff_continuousAt_restrict f xs).mpr (h ⟨x, xs⟩) #align continuous_on_iff_continuous_restrict continuousOn_iff_continuous_restrict -- Porting note: 2 new lemmas alias ⟨ContinuousOn.restrict, _⟩ := continuousOn_iff_continuous_restrict theorem ContinuousOn.restrict_mapsTo {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (ht : MapsTo f s t) : Continuous (ht.restrict f s t) := hf.restrict.codRestrict _ theorem continuousOn_iff' {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ t : Set β, IsOpen t → ∃ u, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by have : ∀ t, IsOpen (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by intro t rw [isOpen_induced_iff, Set.restrict_eq, Set.preimage_comp] simp only [Subtype.preimage_coe_eq_preimage_coe_iff] constructor <;> · rintro ⟨u, ou, useq⟩ exact ⟨u, ou, by simpa only [Set.inter_comm, eq_comm] using useq⟩ rw [continuousOn_iff_continuous_restrict, continuous_def]; simp only [this] #align continuous_on_iff' continuousOn_iff' theorem ContinuousOn.mono_dom {α β : Type*} {t₁ t₂ : TopologicalSpace α} {t₃ : TopologicalSpace β} (h₁ : t₂ ≤ t₁) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₃ f s) : @ContinuousOn α β t₂ t₃ f s := fun x hx _u hu => map_mono (inf_le_inf_right _ <| nhds_mono h₁) (h₂ x hx hu) #align continuous_on.mono_dom ContinuousOn.mono_dom theorem ContinuousOn.mono_rng {α β : Type*} {t₁ : TopologicalSpace α} {t₂ t₃ : TopologicalSpace β} (h₁ : t₂ ≤ t₃) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₂ f s) : @ContinuousOn α β t₁ t₃ f s := fun x hx _u hu => h₂ x hx <| nhds_mono h₁ hu #align continuous_on.mono_rng ContinuousOn.mono_rng theorem continuousOn_iff_isClosed {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ t : Set β, IsClosed t → ∃ u, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by have : ∀ t, IsClosed (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by intro t rw [isClosed_induced_iff, Set.restrict_eq, Set.preimage_comp] simp only [Subtype.preimage_coe_eq_preimage_coe_iff, eq_comm, Set.inter_comm s] rw [continuousOn_iff_continuous_restrict, continuous_iff_isClosed]; simp only [this] #align continuous_on_iff_is_closed continuousOn_iff_isClosed theorem ContinuousOn.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (hg : ContinuousOn g t) : ContinuousOn (Prod.map f g) (s ×ˢ t) := fun ⟨x, y⟩ ⟨hx, hy⟩ => ContinuousWithinAt.prod_map (hf x hx) (hg y hy) #align continuous_on.prod_map ContinuousOn.prod_map theorem continuous_of_cover_nhds {ι : Sort*} {f : α → β} {s : ι → Set α} (hs : ∀ x : α, ∃ i, s i ∈ 𝓝 x) (hf : ∀ i, ContinuousOn f (s i)) : Continuous f := continuous_iff_continuousAt.mpr fun x ↦ let ⟨i, hi⟩ := hs x; by rw [ContinuousAt, ← nhdsWithin_eq_nhds.2 hi] exact hf _ _ (mem_of_mem_nhds hi) #align continuous_of_cover_nhds continuous_of_cover_nhds theorem continuousOn_empty (f : α → β) : ContinuousOn f ∅ := fun _ => False.elim #align continuous_on_empty continuousOn_empty @[simp] theorem continuousOn_singleton (f : α → β) (a : α) : ContinuousOn f {a} := forall_eq.2 <| by simpa only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_left] using fun s => mem_of_mem_nhds #align continuous_on_singleton continuousOn_singleton theorem Set.Subsingleton.continuousOn {s : Set α} (hs : s.Subsingleton) (f : α → β) : ContinuousOn f s := hs.induction_on (continuousOn_empty f) (continuousOn_singleton f) #align set.subsingleton.continuous_on Set.Subsingleton.continuousOn theorem nhdsWithin_le_comap {x : α} {s : Set α} {f : α → β} (ctsf : ContinuousWithinAt f s x) : 𝓝[s] x ≤ comap f (𝓝[f '' s] f x) := ctsf.tendsto_nhdsWithin_image.le_comap #align nhds_within_le_comap nhdsWithin_le_comap @[simp] theorem comap_nhdsWithin_range {α} (f : α → β) (y : β) : comap f (𝓝[range f] y) = comap f (𝓝 y) := comap_inf_principal_range #align comap_nhds_within_range comap_nhdsWithin_range theorem ContinuousWithinAt.mono {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x) (hs : s ⊆ t) : ContinuousWithinAt f s x := h.mono_left (nhdsWithin_mono x hs) #align continuous_within_at.mono ContinuousWithinAt.mono theorem ContinuousWithinAt.mono_of_mem {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x) (hs : t ∈ 𝓝[s] x) : ContinuousWithinAt f s x := h.mono_left (nhdsWithin_le_of_mem hs) #align continuous_within_at.mono_of_mem ContinuousWithinAt.mono_of_mem theorem continuousWithinAt_congr_nhds {f : α → β} {s t : Set α} {x : α} (h : 𝓝[s] x = 𝓝[t] x) : ContinuousWithinAt f s x ↔ ContinuousWithinAt f t x := by simp only [ContinuousWithinAt, h] theorem continuousWithinAt_inter' {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝[s] x) : ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by simp [ContinuousWithinAt, nhdsWithin_restrict'' s h] #align continuous_within_at_inter' continuousWithinAt_inter' theorem continuousWithinAt_inter {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝 x) : ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by simp [ContinuousWithinAt, nhdsWithin_restrict' s h] #align continuous_within_at_inter continuousWithinAt_inter theorem continuousWithinAt_union {f : α → β} {s t : Set α} {x : α} : ContinuousWithinAt f (s ∪ t) x ↔ ContinuousWithinAt f s x ∧ ContinuousWithinAt f t x := by simp only [ContinuousWithinAt, nhdsWithin_union, tendsto_sup] #align continuous_within_at_union continuousWithinAt_union theorem ContinuousWithinAt.union {f : α → β} {s t : Set α} {x : α} (hs : ContinuousWithinAt f s x) (ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s ∪ t) x := continuousWithinAt_union.2 ⟨hs, ht⟩ #align continuous_within_at.union ContinuousWithinAt.union theorem ContinuousWithinAt.mem_closure_image {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (hx : x ∈ closure s) : f x ∈ closure (f '' s) := haveI := mem_closure_iff_nhdsWithin_neBot.1 hx mem_closure_of_tendsto h <| mem_of_superset self_mem_nhdsWithin (subset_preimage_image f s) #align continuous_within_at.mem_closure_image ContinuousWithinAt.mem_closure_image theorem ContinuousWithinAt.mem_closure {f : α → β} {s : Set α} {x : α} {A : Set β} (h : ContinuousWithinAt f s x) (hx : x ∈ closure s) (hA : MapsTo f s A) : f x ∈ closure A := closure_mono (image_subset_iff.2 hA) (h.mem_closure_image hx) #align continuous_within_at.mem_closure ContinuousWithinAt.mem_closure theorem Set.MapsTo.closure_of_continuousWithinAt {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t) (hc : ∀ x ∈ closure s, ContinuousWithinAt f s x) : MapsTo f (closure s) (closure t) := fun x hx => (hc x hx).mem_closure hx h #align set.maps_to.closure_of_continuous_within_at Set.MapsTo.closure_of_continuousWithinAt theorem Set.MapsTo.closure_of_continuousOn {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t) (hc : ContinuousOn f (closure s)) : MapsTo f (closure s) (closure t) := h.closure_of_continuousWithinAt fun x hx => (hc x hx).mono subset_closure #align set.maps_to.closure_of_continuous_on Set.MapsTo.closure_of_continuousOn theorem ContinuousWithinAt.image_closure {f : α → β} {s : Set α} (hf : ∀ x ∈ closure s, ContinuousWithinAt f s x) : f '' closure s ⊆ closure (f '' s) := ((mapsTo_image f s).closure_of_continuousWithinAt hf).image_subset #align continuous_within_at.image_closure ContinuousWithinAt.image_closure theorem ContinuousOn.image_closure {f : α → β} {s : Set α} (hf : ContinuousOn f (closure s)) : f '' closure s ⊆ closure (f '' s) := ContinuousWithinAt.image_closure fun x hx => (hf x hx).mono subset_closure #align continuous_on.image_closure ContinuousOn.image_closure @[simp] theorem continuousWithinAt_singleton {f : α → β} {x : α} : ContinuousWithinAt f {x} x := by simp only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_nhds] #align continuous_within_at_singleton continuousWithinAt_singleton @[simp] theorem continuousWithinAt_insert_self {f : α → β} {x : α} {s : Set α} : ContinuousWithinAt f (insert x s) x ↔ ContinuousWithinAt f s x := by simp only [← singleton_union, continuousWithinAt_union, continuousWithinAt_singleton, true_and_iff] #align continuous_within_at_insert_self continuousWithinAt_insert_self alias ⟨_, ContinuousWithinAt.insert_self⟩ := continuousWithinAt_insert_self #align continuous_within_at.insert_self ContinuousWithinAt.insert_self theorem ContinuousWithinAt.diff_iff {f : α → β} {s t : Set α} {x : α} (ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s \ t) x ↔ ContinuousWithinAt f s x := ⟨fun h => (h.union ht).mono <| by simp only [diff_union_self, subset_union_left], fun h => h.mono diff_subset⟩ #align continuous_within_at.diff_iff ContinuousWithinAt.diff_iff @[simp] theorem continuousWithinAt_diff_self {f : α → β} {s : Set α} {x : α} : ContinuousWithinAt f (s \ {x}) x ↔ ContinuousWithinAt f s x := continuousWithinAt_singleton.diff_iff #align continuous_within_at_diff_self continuousWithinAt_diff_self @[simp] theorem continuousWithinAt_compl_self {f : α → β} {a : α} : ContinuousWithinAt f {a}ᶜ a ↔ ContinuousAt f a := by rw [compl_eq_univ_diff, continuousWithinAt_diff_self, continuousWithinAt_univ] #align continuous_within_at_compl_self continuousWithinAt_compl_self @[simp] theorem continuousWithinAt_update_same [DecidableEq α] {f : α → β} {s : Set α} {x : α} {y : β} : ContinuousWithinAt (update f x y) s x ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) := calc ContinuousWithinAt (update f x y) s x ↔ Tendsto (update f x y) (𝓝[s \ {x}] x) (𝓝 y) := by { rw [← continuousWithinAt_diff_self, ContinuousWithinAt, update_same] } _ ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) := tendsto_congr' <| eventually_nhdsWithin_iff.2 <| eventually_of_forall fun z hz => update_noteq hz.2 _ _ #align continuous_within_at_update_same continuousWithinAt_update_same @[simp] theorem continuousAt_update_same [DecidableEq α] {f : α → β} {x : α} {y : β} : ContinuousAt (Function.update f x y) x ↔ Tendsto f (𝓝[≠] x) (𝓝 y) := by rw [← continuousWithinAt_univ, continuousWithinAt_update_same, compl_eq_univ_diff] #align continuous_at_update_same continuousAt_update_same theorem IsOpenMap.continuousOn_image_of_leftInvOn {f : α → β} {s : Set α} (h : IsOpenMap (s.restrict f)) {finv : β → α} (hleft : LeftInvOn finv f s) : ContinuousOn finv (f '' s) := by refine continuousOn_iff'.2 fun t ht => ⟨f '' (t ∩ s), ?_, ?_⟩ · rw [← image_restrict] exact h _ (ht.preimage continuous_subtype_val) · rw [inter_eq_self_of_subset_left (image_subset f inter_subset_right), hleft.image_inter'] #align is_open_map.continuous_on_image_of_left_inv_on IsOpenMap.continuousOn_image_of_leftInvOn theorem IsOpenMap.continuousOn_range_of_leftInverse {f : α → β} (hf : IsOpenMap f) {finv : β → α} (hleft : Function.LeftInverse finv f) : ContinuousOn finv (range f) := by rw [← image_univ] exact (hf.restrict isOpen_univ).continuousOn_image_of_leftInvOn fun x _ => hleft x #align is_open_map.continuous_on_range_of_left_inverse IsOpenMap.continuousOn_range_of_leftInverse theorem ContinuousOn.congr_mono {f g : α → β} {s s₁ : Set α} (h : ContinuousOn f s) (h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) : ContinuousOn g s₁ := by intro x hx unfold ContinuousWithinAt have A := (h x (h₁ hx)).mono h₁ unfold ContinuousWithinAt at A rw [← h' hx] at A exact A.congr' h'.eventuallyEq_nhdsWithin.symm #align continuous_on.congr_mono ContinuousOn.congr_mono theorem ContinuousOn.congr {f g : α → β} {s : Set α} (h : ContinuousOn f s) (h' : EqOn g f s) : ContinuousOn g s := h.congr_mono h' (Subset.refl _) #align continuous_on.congr ContinuousOn.congr theorem continuousOn_congr {f g : α → β} {s : Set α} (h' : EqOn g f s) : ContinuousOn g s ↔ ContinuousOn f s := ⟨fun h => ContinuousOn.congr h h'.symm, fun h => h.congr h'⟩ #align continuous_on_congr continuousOn_congr theorem ContinuousAt.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : ContinuousAt f x) : ContinuousWithinAt f s x := ContinuousWithinAt.mono ((continuousWithinAt_univ f x).2 h) (subset_univ _) #align continuous_at.continuous_within_at ContinuousAt.continuousWithinAt theorem continuousWithinAt_iff_continuousAt {f : α → β} {s : Set α} {x : α} (h : s ∈ 𝓝 x) : ContinuousWithinAt f s x ↔ ContinuousAt f x := by rw [← univ_inter s, continuousWithinAt_inter h, continuousWithinAt_univ] #align continuous_within_at_iff_continuous_at continuousWithinAt_iff_continuousAt theorem ContinuousWithinAt.continuousAt {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (hs : s ∈ 𝓝 x) : ContinuousAt f x := (continuousWithinAt_iff_continuousAt hs).mp h #align continuous_within_at.continuous_at ContinuousWithinAt.continuousAt theorem IsOpen.continuousOn_iff {f : α → β} {s : Set α} (hs : IsOpen s) : ContinuousOn f s ↔ ∀ ⦃a⦄, a ∈ s → ContinuousAt f a := forall₂_congr fun _ => continuousWithinAt_iff_continuousAt ∘ hs.mem_nhds #align is_open.continuous_on_iff IsOpen.continuousOn_iff theorem ContinuousOn.continuousAt {f : α → β} {s : Set α} {x : α} (h : ContinuousOn f s) (hx : s ∈ 𝓝 x) : ContinuousAt f x := (h x (mem_of_mem_nhds hx)).continuousAt hx #align continuous_on.continuous_at ContinuousOn.continuousAt theorem ContinuousAt.continuousOn {f : α → β} {s : Set α} (hcont : ∀ x ∈ s, ContinuousAt f x) : ContinuousOn f s := fun x hx => (hcont x hx).continuousWithinAt #align continuous_at.continuous_on ContinuousAt.continuousOn theorem ContinuousWithinAt.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α} (hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) (h : MapsTo f s t) : ContinuousWithinAt (g ∘ f) s x := hg.tendsto.comp (hf.tendsto_nhdsWithin h) #align continuous_within_at.comp ContinuousWithinAt.comp theorem ContinuousWithinAt.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α} (hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) : ContinuousWithinAt (g ∘ f) (s ∩ f ⁻¹' t) x := hg.comp (hf.mono inter_subset_left) inter_subset_right #align continuous_within_at.comp' ContinuousWithinAt.comp' theorem ContinuousAt.comp_continuousWithinAt {g : β → γ} {f : α → β} {s : Set α} {x : α} (hg : ContinuousAt g (f x)) (hf : ContinuousWithinAt f s x) : ContinuousWithinAt (g ∘ f) s x := hg.continuousWithinAt.comp hf (mapsTo_univ _ _) #align continuous_at.comp_continuous_within_at ContinuousAt.comp_continuousWithinAt theorem ContinuousOn.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t) (hf : ContinuousOn f s) (h : MapsTo f s t) : ContinuousOn (g ∘ f) s := fun x hx => ContinuousWithinAt.comp (hg _ (h hx)) (hf x hx) h #align continuous_on.comp ContinuousOn.comp @[fun_prop] theorem ContinuousOn.comp'' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t) (hf : ContinuousOn f s) (h : Set.MapsTo f s t) : ContinuousOn (fun x => g (f x)) s := ContinuousOn.comp hg hf h theorem ContinuousOn.mono {f : α → β} {s t : Set α} (hf : ContinuousOn f s) (h : t ⊆ s) : ContinuousOn f t := fun x hx => (hf x (h hx)).mono_left (nhdsWithin_mono _ h) #align continuous_on.mono ContinuousOn.mono theorem antitone_continuousOn {f : α → β} : Antitone (ContinuousOn f) := fun _s _t hst hf => hf.mono hst #align antitone_continuous_on antitone_continuousOn @[fun_prop] theorem ContinuousOn.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t) (hf : ContinuousOn f s) : ContinuousOn (g ∘ f) (s ∩ f ⁻¹' t) := hg.comp (hf.mono inter_subset_left) inter_subset_right #align continuous_on.comp' ContinuousOn.comp' @[fun_prop] theorem Continuous.continuousOn {f : α → β} {s : Set α} (h : Continuous f) : ContinuousOn f s := by rw [continuous_iff_continuousOn_univ] at h exact h.mono (subset_univ _) #align continuous.continuous_on Continuous.continuousOn theorem Continuous.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : Continuous f) : ContinuousWithinAt f s x := h.continuousAt.continuousWithinAt #align continuous.continuous_within_at Continuous.continuousWithinAt theorem Continuous.comp_continuousOn {g : β → γ} {f : α → β} {s : Set α} (hg : Continuous g) (hf : ContinuousOn f s) : ContinuousOn (g ∘ f) s := hg.continuousOn.comp hf (mapsTo_univ _ _) #align continuous.comp_continuous_on Continuous.comp_continuousOn @[fun_prop] theorem Continuous.comp_continuousOn' {α β γ : Type*} [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ] {g : β → γ} {f : α → β} {s : Set α} (hg : Continuous g) (hf : ContinuousOn f s) : ContinuousOn (fun x ↦ g (f x)) s := hg.comp_continuousOn hf theorem ContinuousOn.comp_continuous {g : β → γ} {f : α → β} {s : Set β} (hg : ContinuousOn g s) (hf : Continuous f) (hs : ∀ x, f x ∈ s) : Continuous (g ∘ f) := by rw [continuous_iff_continuousOn_univ] at * exact hg.comp hf fun x _ => hs x #align continuous_on.comp_continuous ContinuousOn.comp_continuous @[fun_prop] theorem continuousOn_apply {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] (i : ι) (s) : ContinuousOn (fun p : ∀ i, π i => p i) s := Continuous.continuousOn (continuous_apply i) theorem ContinuousWithinAt.preimage_mem_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β} (h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝 (f x)) : f ⁻¹' t ∈ 𝓝[s] x := h ht #align continuous_within_at.preimage_mem_nhds_within ContinuousWithinAt.preimage_mem_nhdsWithin theorem Set.LeftInvOn.map_nhdsWithin_eq {f : α → β} {g : β → α} {x : β} {s : Set β} (h : LeftInvOn f g s) (hx : f (g x) = x) (hf : ContinuousWithinAt f (g '' s) (g x)) (hg : ContinuousWithinAt g s x) : map g (𝓝[s] x) = 𝓝[g '' s] g x := by apply le_antisymm · exact hg.tendsto_nhdsWithin (mapsTo_image _ _) · have A : g ∘ f =ᶠ[𝓝[g '' s] g x] id := h.rightInvOn_image.eqOn.eventuallyEq_of_mem self_mem_nhdsWithin refine le_map_of_right_inverse A ?_ simpa only [hx] using hf.tendsto_nhdsWithin (h.mapsTo (surjOn_image _ _)) #align set.left_inv_on.map_nhds_within_eq Set.LeftInvOn.map_nhdsWithin_eq theorem Function.LeftInverse.map_nhds_eq {f : α → β} {g : β → α} {x : β} (h : Function.LeftInverse f g) (hf : ContinuousWithinAt f (range g) (g x)) (hg : ContinuousAt g x) : map g (𝓝 x) = 𝓝[range g] g x := by simpa only [nhdsWithin_univ, image_univ] using (h.leftInvOn univ).map_nhdsWithin_eq (h x) (by rwa [image_univ]) hg.continuousWithinAt #align function.left_inverse.map_nhds_eq Function.LeftInverse.map_nhds_eq theorem ContinuousWithinAt.preimage_mem_nhdsWithin' {f : α → β} {x : α} {s : Set α} {t : Set β} (h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝[f '' s] f x) : f ⁻¹' t ∈ 𝓝[s] x := h.tendsto_nhdsWithin (mapsTo_image _ _) ht #align continuous_within_at.preimage_mem_nhds_within' ContinuousWithinAt.preimage_mem_nhdsWithin' theorem ContinuousWithinAt.preimage_mem_nhdsWithin'' {f : α → β} {x : α} {y : β} {s t : Set β} (h : ContinuousWithinAt f (f ⁻¹' s) x) (ht : t ∈ 𝓝[s] y) (hxy : y = f x) : f ⁻¹' t ∈ 𝓝[f ⁻¹' s] x := by rw [hxy] at ht exact h.preimage_mem_nhdsWithin' (nhdsWithin_mono _ (image_preimage_subset f s) ht) theorem Filter.EventuallyEq.congr_continuousWithinAt {f g : α → β} {s : Set α} {x : α} (h : f =ᶠ[𝓝[s] x] g) (hx : f x = g x) : ContinuousWithinAt f s x ↔ ContinuousWithinAt g s x := by rw [ContinuousWithinAt, hx, tendsto_congr' h, ContinuousWithinAt] #align filter.eventually_eq.congr_continuous_within_at Filter.EventuallyEq.congr_continuousWithinAt theorem ContinuousWithinAt.congr_of_eventuallyEq {f f₁ : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) : ContinuousWithinAt f₁ s x := (h₁.congr_continuousWithinAt hx).2 h #align continuous_within_at.congr_of_eventually_eq ContinuousWithinAt.congr_of_eventuallyEq theorem ContinuousWithinAt.congr {f f₁ : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (h₁ : ∀ y ∈ s, f₁ y = f y) (hx : f₁ x = f x) : ContinuousWithinAt f₁ s x := h.congr_of_eventuallyEq (mem_of_superset self_mem_nhdsWithin h₁) hx #align continuous_within_at.congr ContinuousWithinAt.congr theorem ContinuousWithinAt.congr_mono {f g : α → β} {s s₁ : Set α} {x : α} (h : ContinuousWithinAt f s x) (h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) (hx : g x = f x) : ContinuousWithinAt g s₁ x := (h.mono h₁).congr h' hx #align continuous_within_at.congr_mono ContinuousWithinAt.congr_mono @[fun_prop] theorem continuousOn_const {s : Set α} {c : β} : ContinuousOn (fun _ => c) s := continuous_const.continuousOn #align continuous_on_const continuousOn_const theorem continuousWithinAt_const {b : β} {s : Set α} {x : α} : ContinuousWithinAt (fun _ : α => b) s x := continuous_const.continuousWithinAt #align continuous_within_at_const continuousWithinAt_const theorem continuousOn_id {s : Set α} : ContinuousOn id s := continuous_id.continuousOn #align continuous_on_id continuousOn_id @[fun_prop] theorem continuousOn_id' (s : Set α) : ContinuousOn (fun x : α => x) s := continuousOn_id theorem continuousWithinAt_id {s : Set α} {x : α} : ContinuousWithinAt id s x := continuous_id.continuousWithinAt #align continuous_within_at_id continuousWithinAt_id theorem continuousOn_open_iff {f : α → β} {s : Set α} (hs : IsOpen s) : ContinuousOn f s ↔ ∀ t, IsOpen t → IsOpen (s ∩ f ⁻¹' t) := by rw [continuousOn_iff'] constructor · intro h t ht rcases h t ht with ⟨u, u_open, hu⟩ rw [inter_comm, hu] apply IsOpen.inter u_open hs · intro h t ht refine ⟨s ∩ f ⁻¹' t, h t ht, ?_⟩ rw [@inter_comm _ s (f ⁻¹' t), inter_assoc, inter_self] #align continuous_on_open_iff continuousOn_open_iff theorem ContinuousOn.isOpen_inter_preimage {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ∩ f ⁻¹' t) := (continuousOn_open_iff hs).1 hf t ht #align continuous_on.preimage_open_of_open ContinuousOn.isOpen_inter_preimage
Mathlib/Topology/ContinuousOn.lean
1,088
1,091
theorem ContinuousOn.isOpen_preimage {f : α → β} {s : Set α} {t : Set β} (h : ContinuousOn f s) (hs : IsOpen s) (hp : f ⁻¹' t ⊆ s) (ht : IsOpen t) : IsOpen (f ⁻¹' t) := by
convert (continuousOn_open_iff hs).mp h t ht rw [inter_comm, inter_eq_self_of_subset_left hp]
import Mathlib.Algebra.MonoidAlgebra.Degree import Mathlib.Algebra.Polynomial.Coeff import Mathlib.Algebra.Polynomial.Monomial import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Nat.WithBot import Mathlib.Data.Nat.Cast.WithTop import Mathlib.Data.Nat.SuccPred #align_import data.polynomial.degree.definitions from "leanprover-community/mathlib"@"808ea4ebfabeb599f21ec4ae87d6dc969597887f" -- Porting note: `Mathlib.Data.Nat.Cast.WithTop` should be imported for `Nat.cast_withBot`. set_option linter.uppercaseLean3 false noncomputable section open Finsupp Finset open Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b c d : R} {n m : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} def degree (p : R[X]) : WithBot ℕ := p.support.max #align polynomial.degree Polynomial.degree theorem supDegree_eq_degree (p : R[X]) : p.toFinsupp.supDegree WithBot.some = p.degree := max_eq_sup_coe theorem degree_lt_wf : WellFounded fun p q : R[X] => degree p < degree q := InvImage.wf degree wellFounded_lt #align polynomial.degree_lt_wf Polynomial.degree_lt_wf instance : WellFoundedRelation R[X] := ⟨_, degree_lt_wf⟩ def natDegree (p : R[X]) : ℕ := (degree p).unbot' 0 #align polynomial.nat_degree Polynomial.natDegree def leadingCoeff (p : R[X]) : R := coeff p (natDegree p) #align polynomial.leading_coeff Polynomial.leadingCoeff def Monic (p : R[X]) := leadingCoeff p = (1 : R) #align polynomial.monic Polynomial.Monic @[nontriviality] theorem monic_of_subsingleton [Subsingleton R] (p : R[X]) : Monic p := Subsingleton.elim _ _ #align polynomial.monic_of_subsingleton Polynomial.monic_of_subsingleton theorem Monic.def : Monic p ↔ leadingCoeff p = 1 := Iff.rfl #align polynomial.monic.def Polynomial.Monic.def instance Monic.decidable [DecidableEq R] : Decidable (Monic p) := by unfold Monic; infer_instance #align polynomial.monic.decidable Polynomial.Monic.decidable @[simp] theorem Monic.leadingCoeff {p : R[X]} (hp : p.Monic) : leadingCoeff p = 1 := hp #align polynomial.monic.leading_coeff Polynomial.Monic.leadingCoeff theorem Monic.coeff_natDegree {p : R[X]} (hp : p.Monic) : p.coeff p.natDegree = 1 := hp #align polynomial.monic.coeff_nat_degree Polynomial.Monic.coeff_natDegree @[simp] theorem degree_zero : degree (0 : R[X]) = ⊥ := rfl #align polynomial.degree_zero Polynomial.degree_zero @[simp] theorem natDegree_zero : natDegree (0 : R[X]) = 0 := rfl #align polynomial.nat_degree_zero Polynomial.natDegree_zero @[simp] theorem coeff_natDegree : coeff p (natDegree p) = leadingCoeff p := rfl #align polynomial.coeff_nat_degree Polynomial.coeff_natDegree @[simp] theorem degree_eq_bot : degree p = ⊥ ↔ p = 0 := ⟨fun h => support_eq_empty.1 (Finset.max_eq_bot.1 h), fun h => h.symm ▸ rfl⟩ #align polynomial.degree_eq_bot Polynomial.degree_eq_bot @[nontriviality] theorem degree_of_subsingleton [Subsingleton R] : degree p = ⊥ := by rw [Subsingleton.elim p 0, degree_zero] #align polynomial.degree_of_subsingleton Polynomial.degree_of_subsingleton @[nontriviality] theorem natDegree_of_subsingleton [Subsingleton R] : natDegree p = 0 := by rw [Subsingleton.elim p 0, natDegree_zero] #align polynomial.nat_degree_of_subsingleton Polynomial.natDegree_of_subsingleton theorem degree_eq_natDegree (hp : p ≠ 0) : degree p = (natDegree p : WithBot ℕ) := by let ⟨n, hn⟩ := not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt degree_eq_bot.1 hp)) have hn : degree p = some n := Classical.not_not.1 hn rw [natDegree, hn]; rfl #align polynomial.degree_eq_nat_degree Polynomial.degree_eq_natDegree theorem supDegree_eq_natDegree (p : R[X]) : p.toFinsupp.supDegree id = p.natDegree := by obtain rfl|h := eq_or_ne p 0 · simp apply WithBot.coe_injective rw [← AddMonoidAlgebra.supDegree_withBot_some_comp, Function.comp_id, supDegree_eq_degree, degree_eq_natDegree h, Nat.cast_withBot] rwa [support_toFinsupp, nonempty_iff_ne_empty, Ne, support_eq_empty] theorem degree_eq_iff_natDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) : p.degree = n ↔ p.natDegree = n := by rw [degree_eq_natDegree hp]; exact WithBot.coe_eq_coe #align polynomial.degree_eq_iff_nat_degree_eq Polynomial.degree_eq_iff_natDegree_eq theorem degree_eq_iff_natDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) : p.degree = n ↔ p.natDegree = n := by obtain rfl|h := eq_or_ne p 0 · simp [hn.ne] · exact degree_eq_iff_natDegree_eq h #align polynomial.degree_eq_iff_nat_degree_eq_of_pos Polynomial.degree_eq_iff_natDegree_eq_of_pos theorem natDegree_eq_of_degree_eq_some {p : R[X]} {n : ℕ} (h : degree p = n) : natDegree p = n := by -- Porting note: `Nat.cast_withBot` is required. rw [natDegree, h, Nat.cast_withBot, WithBot.unbot'_coe] #align polynomial.nat_degree_eq_of_degree_eq_some Polynomial.natDegree_eq_of_degree_eq_some theorem degree_ne_of_natDegree_ne {n : ℕ} : p.natDegree ≠ n → degree p ≠ n := mt natDegree_eq_of_degree_eq_some #align polynomial.degree_ne_of_nat_degree_ne Polynomial.degree_ne_of_natDegree_ne @[simp] theorem degree_le_natDegree : degree p ≤ natDegree p := WithBot.giUnbot'Bot.gc.le_u_l _ #align polynomial.degree_le_nat_degree Polynomial.degree_le_natDegree theorem natDegree_eq_of_degree_eq [Semiring S] {q : S[X]} (h : degree p = degree q) : natDegree p = natDegree q := by unfold natDegree; rw [h] #align polynomial.nat_degree_eq_of_degree_eq Polynomial.natDegree_eq_of_degree_eq theorem le_degree_of_ne_zero (h : coeff p n ≠ 0) : (n : WithBot ℕ) ≤ degree p := by rw [Nat.cast_withBot] exact Finset.le_sup (mem_support_iff.2 h) #align polynomial.le_degree_of_ne_zero Polynomial.le_degree_of_ne_zero theorem le_natDegree_of_ne_zero (h : coeff p n ≠ 0) : n ≤ natDegree p := by rw [← Nat.cast_le (α := WithBot ℕ), ← degree_eq_natDegree] · exact le_degree_of_ne_zero h · rintro rfl exact h rfl #align polynomial.le_nat_degree_of_ne_zero Polynomial.le_natDegree_of_ne_zero theorem le_natDegree_of_mem_supp (a : ℕ) : a ∈ p.support → a ≤ natDegree p := le_natDegree_of_ne_zero ∘ mem_support_iff.mp #align polynomial.le_nat_degree_of_mem_supp Polynomial.le_natDegree_of_mem_supp theorem degree_eq_of_le_of_coeff_ne_zero (pn : p.degree ≤ n) (p1 : p.coeff n ≠ 0) : p.degree = n := pn.antisymm (le_degree_of_ne_zero p1) #align polynomial.degree_eq_of_le_of_coeff_ne_zero Polynomial.degree_eq_of_le_of_coeff_ne_zero theorem natDegree_eq_of_le_of_coeff_ne_zero (pn : p.natDegree ≤ n) (p1 : p.coeff n ≠ 0) : p.natDegree = n := pn.antisymm (le_natDegree_of_ne_zero p1) #align polynomial.nat_degree_eq_of_le_of_coeff_ne_zero Polynomial.natDegree_eq_of_le_of_coeff_ne_zero theorem degree_mono [Semiring S] {f : R[X]} {g : S[X]} (h : f.support ⊆ g.support) : f.degree ≤ g.degree := Finset.sup_mono h #align polynomial.degree_mono Polynomial.degree_mono theorem supp_subset_range (h : natDegree p < m) : p.support ⊆ Finset.range m := fun _n hn => mem_range.2 <| (le_natDegree_of_mem_supp _ hn).trans_lt h #align polynomial.supp_subset_range Polynomial.supp_subset_range theorem supp_subset_range_natDegree_succ : p.support ⊆ Finset.range (natDegree p + 1) := supp_subset_range (Nat.lt_succ_self _) #align polynomial.supp_subset_range_nat_degree_succ Polynomial.supp_subset_range_natDegree_succ theorem degree_le_degree (h : coeff q (natDegree p) ≠ 0) : degree p ≤ degree q := by by_cases hp : p = 0 · rw [hp, degree_zero] exact bot_le · rw [degree_eq_natDegree hp] exact le_degree_of_ne_zero h #align polynomial.degree_le_degree Polynomial.degree_le_degree theorem natDegree_le_iff_degree_le {n : ℕ} : natDegree p ≤ n ↔ degree p ≤ n := WithBot.unbot'_le_iff (fun _ ↦ bot_le) #align polynomial.nat_degree_le_iff_degree_le Polynomial.natDegree_le_iff_degree_le theorem natDegree_lt_iff_degree_lt (hp : p ≠ 0) : p.natDegree < n ↔ p.degree < ↑n := WithBot.unbot'_lt_iff (absurd · (degree_eq_bot.not.mpr hp)) #align polynomial.nat_degree_lt_iff_degree_lt Polynomial.natDegree_lt_iff_degree_lt alias ⟨degree_le_of_natDegree_le, natDegree_le_of_degree_le⟩ := natDegree_le_iff_degree_le #align polynomial.degree_le_of_nat_degree_le Polynomial.degree_le_of_natDegree_le #align polynomial.nat_degree_le_of_degree_le Polynomial.natDegree_le_of_degree_le theorem natDegree_le_natDegree [Semiring S] {q : S[X]} (hpq : p.degree ≤ q.degree) : p.natDegree ≤ q.natDegree := WithBot.giUnbot'Bot.gc.monotone_l hpq #align polynomial.nat_degree_le_nat_degree Polynomial.natDegree_le_natDegree theorem natDegree_lt_natDegree {p q : R[X]} (hp : p ≠ 0) (hpq : p.degree < q.degree) : p.natDegree < q.natDegree := by by_cases hq : q = 0 · exact (not_lt_bot <| hq ▸ hpq).elim rwa [degree_eq_natDegree hp, degree_eq_natDegree hq, Nat.cast_lt] at hpq #align polynomial.nat_degree_lt_nat_degree Polynomial.natDegree_lt_natDegree @[simp] theorem degree_C (ha : a ≠ 0) : degree (C a) = (0 : WithBot ℕ) := by rw [degree, ← monomial_zero_left, support_monomial 0 ha, max_eq_sup_coe, sup_singleton, WithBot.coe_zero] #align polynomial.degree_C Polynomial.degree_C theorem degree_C_le : degree (C a) ≤ 0 := by by_cases h : a = 0 · rw [h, C_0] exact bot_le · rw [degree_C h] #align polynomial.degree_C_le Polynomial.degree_C_le theorem degree_C_lt : degree (C a) < 1 := degree_C_le.trans_lt <| WithBot.coe_lt_coe.mpr zero_lt_one #align polynomial.degree_C_lt Polynomial.degree_C_lt theorem degree_one_le : degree (1 : R[X]) ≤ (0 : WithBot ℕ) := by rw [← C_1]; exact degree_C_le #align polynomial.degree_one_le Polynomial.degree_one_le @[simp] theorem natDegree_C (a : R) : natDegree (C a) = 0 := by by_cases ha : a = 0 · have : C a = 0 := by rw [ha, C_0] rw [natDegree, degree_eq_bot.2 this, WithBot.unbot'_bot] · rw [natDegree, degree_C ha, WithBot.unbot_zero'] #align polynomial.nat_degree_C Polynomial.natDegree_C @[simp] theorem natDegree_one : natDegree (1 : R[X]) = 0 := natDegree_C 1 #align polynomial.nat_degree_one Polynomial.natDegree_one @[simp] theorem natDegree_natCast (n : ℕ) : natDegree (n : R[X]) = 0 := by simp only [← C_eq_natCast, natDegree_C] #align polynomial.nat_degree_nat_cast Polynomial.natDegree_natCast @[deprecated (since := "2024-04-17")] alias natDegree_nat_cast := natDegree_natCast theorem degree_natCast_le (n : ℕ) : degree (n : R[X]) ≤ 0 := degree_le_of_natDegree_le (by simp) @[deprecated (since := "2024-04-17")] alias degree_nat_cast_le := degree_natCast_le @[simp] theorem degree_monomial (n : ℕ) (ha : a ≠ 0) : degree (monomial n a) = n := by rw [degree, support_monomial n ha, max_singleton, Nat.cast_withBot] #align polynomial.degree_monomial Polynomial.degree_monomial @[simp]
Mathlib/Algebra/Polynomial/Degree/Definitions.lean
297
298
theorem degree_C_mul_X_pow (n : ℕ) (ha : a ≠ 0) : degree (C a * X ^ n) = n := by
rw [C_mul_X_pow_eq_monomial, degree_monomial n ha]
import Mathlib.NumberTheory.Zsqrtd.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Data.Complex.Basic import Mathlib.Data.Real.Archimedean #align_import number_theory.zsqrtd.gaussian_int from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Zsqrtd Complex open scoped ComplexConjugate abbrev GaussianInt : Type := Zsqrtd (-1) #align gaussian_int GaussianInt local notation "ℤ[i]" => GaussianInt namespace GaussianInt instance : Repr ℤ[i] := ⟨fun x _ => "⟨" ++ repr x.re ++ ", " ++ repr x.im ++ "⟩"⟩ instance instCommRing : CommRing ℤ[i] := Zsqrtd.commRing #align gaussian_int.comm_ring GaussianInt.instCommRing section attribute [-instance] Complex.instField -- Avoid making things noncomputable unnecessarily. def toComplex : ℤ[i] →+* ℂ := Zsqrtd.lift ⟨I, by simp⟩ #align gaussian_int.to_complex GaussianInt.toComplex end instance : Coe ℤ[i] ℂ := ⟨toComplex⟩ theorem toComplex_def (x : ℤ[i]) : (x : ℂ) = x.re + x.im * I := rfl #align gaussian_int.to_complex_def GaussianInt.toComplex_def theorem toComplex_def' (x y : ℤ) : ((⟨x, y⟩ : ℤ[i]) : ℂ) = x + y * I := by simp [toComplex_def] #align gaussian_int.to_complex_def' GaussianInt.toComplex_def' theorem toComplex_def₂ (x : ℤ[i]) : (x : ℂ) = ⟨x.re, x.im⟩ := by apply Complex.ext <;> simp [toComplex_def] #align gaussian_int.to_complex_def₂ GaussianInt.toComplex_def₂ @[simp] theorem to_real_re (x : ℤ[i]) : ((x.re : ℤ) : ℝ) = (x : ℂ).re := by simp [toComplex_def] #align gaussian_int.to_real_re GaussianInt.to_real_re @[simp] theorem to_real_im (x : ℤ[i]) : ((x.im : ℤ) : ℝ) = (x : ℂ).im := by simp [toComplex_def] #align gaussian_int.to_real_im GaussianInt.to_real_im @[simp] theorem toComplex_re (x y : ℤ) : ((⟨x, y⟩ : ℤ[i]) : ℂ).re = x := by simp [toComplex_def] #align gaussian_int.to_complex_re GaussianInt.toComplex_re @[simp] theorem toComplex_im (x y : ℤ) : ((⟨x, y⟩ : ℤ[i]) : ℂ).im = y := by simp [toComplex_def] #align gaussian_int.to_complex_im GaussianInt.toComplex_im -- Porting note (#10618): @[simp] can prove this theorem toComplex_add (x y : ℤ[i]) : ((x + y : ℤ[i]) : ℂ) = x + y := toComplex.map_add _ _ #align gaussian_int.to_complex_add GaussianInt.toComplex_add -- Porting note (#10618): @[simp] can prove this theorem toComplex_mul (x y : ℤ[i]) : ((x * y : ℤ[i]) : ℂ) = x * y := toComplex.map_mul _ _ #align gaussian_int.to_complex_mul GaussianInt.toComplex_mul -- Porting note (#10618): @[simp] can prove this theorem toComplex_one : ((1 : ℤ[i]) : ℂ) = 1 := toComplex.map_one #align gaussian_int.to_complex_one GaussianInt.toComplex_one -- Porting note (#10618): @[simp] can prove this theorem toComplex_zero : ((0 : ℤ[i]) : ℂ) = 0 := toComplex.map_zero #align gaussian_int.to_complex_zero GaussianInt.toComplex_zero -- Porting note (#10618): @[simp] can prove this theorem toComplex_neg (x : ℤ[i]) : ((-x : ℤ[i]) : ℂ) = -x := toComplex.map_neg _ #align gaussian_int.to_complex_neg GaussianInt.toComplex_neg -- Porting note (#10618): @[simp] can prove this theorem toComplex_sub (x y : ℤ[i]) : ((x - y : ℤ[i]) : ℂ) = x - y := toComplex.map_sub _ _ #align gaussian_int.to_complex_sub GaussianInt.toComplex_sub @[simp] theorem toComplex_star (x : ℤ[i]) : ((star x : ℤ[i]) : ℂ) = conj (x : ℂ) := by rw [toComplex_def₂, toComplex_def₂] exact congr_arg₂ _ rfl (Int.cast_neg _) #align gaussian_int.to_complex_star GaussianInt.toComplex_star @[simp] theorem toComplex_inj {x y : ℤ[i]} : (x : ℂ) = y ↔ x = y := by cases x; cases y; simp [toComplex_def₂] #align gaussian_int.to_complex_inj GaussianInt.toComplex_inj lemma toComplex_injective : Function.Injective GaussianInt.toComplex := fun ⦃_ _⦄ ↦ toComplex_inj.mp @[simp] theorem toComplex_eq_zero {x : ℤ[i]} : (x : ℂ) = 0 ↔ x = 0 := by rw [← toComplex_zero, toComplex_inj] #align gaussian_int.to_complex_eq_zero GaussianInt.toComplex_eq_zero @[simp] theorem intCast_real_norm (x : ℤ[i]) : (x.norm : ℝ) = Complex.normSq (x : ℂ) := by rw [Zsqrtd.norm, normSq]; simp #align gaussian_int.nat_cast_real_norm GaussianInt.intCast_real_norm @[deprecated (since := "2024-04-17")] alias int_cast_real_norm := intCast_real_norm @[simp] theorem intCast_complex_norm (x : ℤ[i]) : (x.norm : ℂ) = Complex.normSq (x : ℂ) := by cases x; rw [Zsqrtd.norm, normSq]; simp #align gaussian_int.nat_cast_complex_norm GaussianInt.intCast_complex_norm @[deprecated (since := "2024-04-17")] alias int_cast_complex_norm := intCast_complex_norm theorem norm_nonneg (x : ℤ[i]) : 0 ≤ norm x := Zsqrtd.norm_nonneg (by norm_num) _ #align gaussian_int.norm_nonneg GaussianInt.norm_nonneg @[simp] theorem norm_eq_zero {x : ℤ[i]} : norm x = 0 ↔ x = 0 := by rw [← @Int.cast_inj ℝ _ _ _]; simp #align gaussian_int.norm_eq_zero GaussianInt.norm_eq_zero theorem norm_pos {x : ℤ[i]} : 0 < norm x ↔ x ≠ 0 := by rw [lt_iff_le_and_ne, Ne, eq_comm, norm_eq_zero]; simp [norm_nonneg] #align gaussian_int.norm_pos GaussianInt.norm_pos theorem abs_natCast_norm (x : ℤ[i]) : (x.norm.natAbs : ℤ) = x.norm := Int.natAbs_of_nonneg (norm_nonneg _) #align gaussian_int.abs_coe_nat_norm GaussianInt.abs_natCast_norm -- 2024-04-05 @[deprecated] alias abs_coe_nat_norm := abs_natCast_norm @[simp] theorem natCast_natAbs_norm {α : Type*} [Ring α] (x : ℤ[i]) : (x.norm.natAbs : α) = x.norm := by rw [← Int.cast_natCast, abs_natCast_norm] #align gaussian_int.nat_cast_nat_abs_norm GaussianInt.natCast_natAbs_norm @[deprecated (since := "2024-04-17")] alias nat_cast_natAbs_norm := natCast_natAbs_norm theorem natAbs_norm_eq (x : ℤ[i]) : x.norm.natAbs = x.re.natAbs * x.re.natAbs + x.im.natAbs * x.im.natAbs := Int.ofNat.inj <| by simp; simp [Zsqrtd.norm] #align gaussian_int.nat_abs_norm_eq GaussianInt.natAbs_norm_eq instance : Div ℤ[i] := ⟨fun x y => let n := (norm y : ℚ)⁻¹ let c := star y ⟨round ((x * c).re * n : ℚ), round ((x * c).im * n : ℚ)⟩⟩ theorem div_def (x y : ℤ[i]) : x / y = ⟨round ((x * star y).re / norm y : ℚ), round ((x * star y).im / norm y : ℚ)⟩ := show Zsqrtd.mk _ _ = _ by simp [div_eq_mul_inv] #align gaussian_int.div_def GaussianInt.div_def theorem toComplex_div_re (x y : ℤ[i]) : ((x / y : ℤ[i]) : ℂ).re = round (x / y : ℂ).re := by rw [div_def, ← @Rat.round_cast ℝ _ _] simp [-Rat.round_cast, mul_assoc, div_eq_mul_inv, mul_add, add_mul] #align gaussian_int.to_complex_div_re GaussianInt.toComplex_div_re theorem toComplex_div_im (x y : ℤ[i]) : ((x / y : ℤ[i]) : ℂ).im = round (x / y : ℂ).im := by rw [div_def, ← @Rat.round_cast ℝ _ _, ← @Rat.round_cast ℝ _ _] simp [-Rat.round_cast, mul_assoc, div_eq_mul_inv, mul_add, add_mul] #align gaussian_int.to_complex_div_im GaussianInt.toComplex_div_im
Mathlib/NumberTheory/Zsqrtd/GaussianInt.lean
222
228
theorem normSq_le_normSq_of_re_le_of_im_le {x y : ℂ} (hre : |x.re| ≤ |y.re|) (him : |x.im| ≤ |y.im|) : Complex.normSq x ≤ Complex.normSq y := by
rw [normSq_apply, normSq_apply, ← _root_.abs_mul_self, _root_.abs_mul, ← _root_.abs_mul_self y.re, _root_.abs_mul y.re, ← _root_.abs_mul_self x.im, _root_.abs_mul x.im, ← _root_.abs_mul_self y.im, _root_.abs_mul y.im] exact add_le_add (mul_self_le_mul_self (abs_nonneg _) hre) (mul_self_le_mul_self (abs_nonneg _) him)
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι] theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul] #align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by simp [volume_eq_stieltjes_id] #align real.volume_val Real.volume_val @[simp] theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ico Real.volume_Ico @[simp] theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Icc Real.volume_Icc @[simp] theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioo Real.volume_Ioo @[simp] theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioc Real.volume_Ioc -- @[simp] -- Porting note (#10618): simp can prove this theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val] #align real.volume_singleton Real.volume_singleton -- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
100
104
theorem volume_univ : volume (univ : Set ℝ) = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => calc (r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by
simp _ ≤ volume univ := measure_mono (subset_univ _)
import Mathlib.Data.Matrix.Basic import Mathlib.LinearAlgebra.Matrix.Trace #align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794" variable {l m n : Type*} variable {R α : Type*} namespace Matrix open Matrix variable [DecidableEq l] [DecidableEq m] [DecidableEq n] variable [Semiring α] def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' => if i = i' ∧ j = j' then a else 0 #align matrix.std_basis_matrix Matrix.stdBasisMatrix @[simp] theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) : r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by unfold stdBasisMatrix ext simp [smul_ite] #align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix @[simp] theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by unfold stdBasisMatrix ext simp #align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) : stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by unfold stdBasisMatrix; ext split_ifs with h <;> simp [h] #align matrix.std_basis_matrix_add Matrix.stdBasisMatrix_add theorem mulVec_stdBasisMatrix [Fintype m] (i : n) (j : m) (c : α) (x : m → α) : mulVec (stdBasisMatrix i j c) x = Function.update (0 : n → α) i (c * x j) := by ext i' simp [stdBasisMatrix, mulVec, dotProduct] rcases eq_or_ne i i' with rfl|h · simp simp [h, h.symm] theorem matrix_eq_sum_std_basis [Fintype m] [Fintype n] (x : Matrix m n α) : x = ∑ i : m, ∑ j : n, stdBasisMatrix i j (x i j) := by ext i j; symm iterate 2 rw [Finset.sum_apply] -- Porting note: was `convert` refine (Fintype.sum_eq_single i ?_).trans ?_; swap · -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply` simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix] rw [Fintype.sum_apply, Fintype.sum_apply] simp · intro j' hj' -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply` simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix] rw [Fintype.sum_apply, Fintype.sum_apply] simp [hj'] #align matrix.matrix_eq_sum_std_basis Matrix.matrix_eq_sum_std_basis -- TODO: tie this up with the `Basis` machinery of linear algebra -- this is not completely trivial because we are indexing by two types, instead of one -- TODO: add `std_basis_vec` theorem std_basis_eq_basis_mul_basis (i : m) (j : n) : stdBasisMatrix i j (1 : α) = vecMulVec (fun i' => ite (i = i') 1 0) fun j' => ite (j = j') 1 0 := by ext i' j' -- Porting note: was `norm_num [std_basis_matrix, vec_mul_vec]` though there are no numerals -- involved. simp only [stdBasisMatrix, vecMulVec, mul_ite, mul_one, mul_zero, of_apply] -- Porting note: added next line simp_rw [@and_comm (i = i')] exact ite_and _ _ _ _ #align matrix.std_basis_eq_basis_mul_basis Matrix.std_basis_eq_basis_mul_basis -- todo: the old proof used fintypes, I don't know `Finsupp` but this feels generalizable @[elab_as_elim] protected theorem induction_on' [Finite m] [Finite n] {P : Matrix m n α → Prop} (M : Matrix m n α) (h_zero : P 0) (h_add : ∀ p q, P p → P q → P (p + q)) (h_std_basis : ∀ (i : m) (j : n) (x : α), P (stdBasisMatrix i j x)) : P M := by cases nonempty_fintype m; cases nonempty_fintype n rw [matrix_eq_sum_std_basis M, ← Finset.sum_product'] apply Finset.sum_induction _ _ h_add h_zero · intros apply h_std_basis #align matrix.induction_on' Matrix.induction_on' @[elab_as_elim] protected theorem induction_on [Finite m] [Finite n] [Nonempty m] [Nonempty n] {P : Matrix m n α → Prop} (M : Matrix m n α) (h_add : ∀ p q, P p → P q → P (p + q)) (h_std_basis : ∀ i j x, P (stdBasisMatrix i j x)) : P M := Matrix.induction_on' M (by inhabit m inhabit n simpa using h_std_basis default default 0) h_add h_std_basis #align matrix.induction_on Matrix.induction_on namespace StdBasisMatrix section variable (i : m) (j : n) (c : α) (i' : m) (j' : n) @[simp] theorem apply_same : stdBasisMatrix i j c i j = c := if_pos (And.intro rfl rfl) #align matrix.std_basis_matrix.apply_same Matrix.StdBasisMatrix.apply_same @[simp] theorem apply_of_ne (h : ¬(i = i' ∧ j = j')) : stdBasisMatrix i j c i' j' = 0 := by simp only [stdBasisMatrix, and_imp, ite_eq_right_iff] tauto #align matrix.std_basis_matrix.apply_of_ne Matrix.StdBasisMatrix.apply_of_ne @[simp] theorem apply_of_row_ne {i i' : m} (hi : i ≠ i') (j j' : n) (a : α) : stdBasisMatrix i j a i' j' = 0 := by simp [hi] #align matrix.std_basis_matrix.apply_of_row_ne Matrix.StdBasisMatrix.apply_of_row_ne @[simp] theorem apply_of_col_ne (i i' : m) {j j' : n} (hj : j ≠ j') (a : α) : stdBasisMatrix i j a i' j' = 0 := by simp [hj] #align matrix.std_basis_matrix.apply_of_col_ne Matrix.StdBasisMatrix.apply_of_col_ne end section variable (i j : n) (c : α) (i' j' : n) @[simp] theorem diag_zero (h : j ≠ i) : diag (stdBasisMatrix i j c) = 0 := funext fun _ => if_neg fun ⟨e₁, e₂⟩ => h (e₂.trans e₁.symm) #align matrix.std_basis_matrix.diag_zero Matrix.StdBasisMatrix.diag_zero @[simp] theorem diag_same : diag (stdBasisMatrix i i c) = Pi.single i c := by ext j by_cases hij : i = j <;> (try rw [hij]) <;> simp [hij] #align matrix.std_basis_matrix.diag_same Matrix.StdBasisMatrix.diag_same variable [Fintype n] @[simp] theorem trace_zero (h : j ≠ i) : trace (stdBasisMatrix i j c) = 0 := by -- Porting note: added `-diag_apply` simp [trace, -diag_apply, h] #align matrix.std_basis_matrix.trace_zero Matrix.StdBasisMatrix.trace_zero @[simp] theorem trace_eq : trace (stdBasisMatrix i i c) = c := by -- Porting note: added `-diag_apply` simp [trace, -diag_apply] #align matrix.std_basis_matrix.trace_eq Matrix.StdBasisMatrix.trace_eq @[simp] theorem mul_left_apply_same (b : n) (M : Matrix n n α) : (stdBasisMatrix i j c * M) i b = c * M j b := by simp [mul_apply, stdBasisMatrix] #align matrix.std_basis_matrix.mul_left_apply_same Matrix.StdBasisMatrix.mul_left_apply_same @[simp] theorem mul_right_apply_same (a : n) (M : Matrix n n α) : (M * stdBasisMatrix i j c) a j = M a i * c := by simp [mul_apply, stdBasisMatrix, mul_comm] #align matrix.std_basis_matrix.mul_right_apply_same Matrix.StdBasisMatrix.mul_right_apply_same @[simp] theorem mul_left_apply_of_ne (a b : n) (h : a ≠ i) (M : Matrix n n α) : (stdBasisMatrix i j c * M) a b = 0 := by simp [mul_apply, h.symm] #align matrix.std_basis_matrix.mul_left_apply_of_ne Matrix.StdBasisMatrix.mul_left_apply_of_ne @[simp] theorem mul_right_apply_of_ne (a b : n) (hbj : b ≠ j) (M : Matrix n n α) : (M * stdBasisMatrix i j c) a b = 0 := by simp [mul_apply, hbj.symm] #align matrix.std_basis_matrix.mul_right_apply_of_ne Matrix.StdBasisMatrix.mul_right_apply_of_ne @[simp]
Mathlib/Data/Matrix/Basis.lean
200
204
theorem mul_same (k : n) (d : α) : stdBasisMatrix i j c * stdBasisMatrix j k d = stdBasisMatrix i k (c * d) := by
ext a b simp only [mul_apply, stdBasisMatrix, boole_mul] by_cases h₁ : i = a <;> by_cases h₂ : k = b <;> simp [h₁, h₂]
import Mathlib.Init.Core import Mathlib.LinearAlgebra.AffineSpace.Basis import Mathlib.LinearAlgebra.FiniteDimensional #align_import linear_algebra.affine_space.finite_dimensional from "leanprover-community/mathlib"@"67e606eaea14c7854bdc556bd53d98aefdf76ec0" noncomputable section open Affine section AffineSpace' variable (k : Type*) {V : Type*} {P : Type*} variable {ι : Type*} open AffineSubspace FiniteDimensional Module variable [DivisionRing k] [AddCommGroup V] [Module k V] [AffineSpace V P] theorem finiteDimensional_vectorSpan_of_finite {s : Set P} (h : Set.Finite s) : FiniteDimensional k (vectorSpan k s) := span_of_finite k <| h.vsub h #align finite_dimensional_vector_span_of_finite finiteDimensional_vectorSpan_of_finite instance finiteDimensional_vectorSpan_range [Finite ι] (p : ι → P) : FiniteDimensional k (vectorSpan k (Set.range p)) := finiteDimensional_vectorSpan_of_finite k (Set.finite_range _) #align finite_dimensional_vector_span_range finiteDimensional_vectorSpan_range instance finiteDimensional_vectorSpan_image_of_finite [Finite ι] (p : ι → P) (s : Set ι) : FiniteDimensional k (vectorSpan k (p '' s)) := finiteDimensional_vectorSpan_of_finite k (Set.toFinite _) #align finite_dimensional_vector_span_image_of_finite finiteDimensional_vectorSpan_image_of_finite theorem finiteDimensional_direction_affineSpan_of_finite {s : Set P} (h : Set.Finite s) : FiniteDimensional k (affineSpan k s).direction := (direction_affineSpan k s).symm ▸ finiteDimensional_vectorSpan_of_finite k h #align finite_dimensional_direction_affine_span_of_finite finiteDimensional_direction_affineSpan_of_finite instance finiteDimensional_direction_affineSpan_range [Finite ι] (p : ι → P) : FiniteDimensional k (affineSpan k (Set.range p)).direction := finiteDimensional_direction_affineSpan_of_finite k (Set.finite_range _) #align finite_dimensional_direction_affine_span_range finiteDimensional_direction_affineSpan_range instance finiteDimensional_direction_affineSpan_image_of_finite [Finite ι] (p : ι → P) (s : Set ι) : FiniteDimensional k (affineSpan k (p '' s)).direction := finiteDimensional_direction_affineSpan_of_finite k (Set.toFinite _) #align finite_dimensional_direction_affine_span_image_of_finite finiteDimensional_direction_affineSpan_image_of_finite theorem finite_of_fin_dim_affineIndependent [FiniteDimensional k V] {p : ι → P} (hi : AffineIndependent k p) : Finite ι := by nontriviality ι; inhabit ι rw [affineIndependent_iff_linearIndependent_vsub k p default] at hi letI : IsNoetherian k V := IsNoetherian.iff_fg.2 inferInstance exact (Set.finite_singleton default).finite_of_compl (Set.finite_coe_iff.1 hi.finite_of_isNoetherian) #align finite_of_fin_dim_affine_independent finite_of_fin_dim_affineIndependent theorem finite_set_of_fin_dim_affineIndependent [FiniteDimensional k V] {s : Set ι} {f : s → P} (hi : AffineIndependent k f) : s.Finite := @Set.toFinite _ s (finite_of_fin_dim_affineIndependent k hi) #align finite_set_of_fin_dim_affine_independent finite_set_of_fin_dim_affineIndependent variable {k} theorem AffineIndependent.finrank_vectorSpan_image_finset [DecidableEq P] {p : ι → P} (hi : AffineIndependent k p) {s : Finset ι} {n : ℕ} (hc : Finset.card s = n + 1) : finrank k (vectorSpan k (s.image p : Set P)) = n := by classical have hi' := hi.range.mono (Set.image_subset_range p ↑s) have hc' : (s.image p).card = n + 1 := by rwa [s.card_image_of_injective hi.injective] have hn : (s.image p).Nonempty := by simp [hc', ← Finset.card_pos] rcases hn with ⟨p₁, hp₁⟩ have hp₁' : p₁ ∈ p '' s := by simpa using hp₁ rw [affineIndependent_set_iff_linearIndependent_vsub k hp₁', ← Finset.coe_singleton, ← Finset.coe_image, ← Finset.coe_sdiff, Finset.sdiff_singleton_eq_erase, ← Finset.coe_image] at hi' have hc : (Finset.image (fun p : P => p -ᵥ p₁) ((Finset.image p s).erase p₁)).card = n := by rw [Finset.card_image_of_injective _ (vsub_left_injective _), Finset.card_erase_of_mem hp₁] exact Nat.pred_eq_of_eq_succ hc' rwa [vectorSpan_eq_span_vsub_finset_right_ne k hp₁, finrank_span_finset_eq_card, hc] #align affine_independent.finrank_vector_span_image_finset AffineIndependent.finrank_vectorSpan_image_finset theorem AffineIndependent.finrank_vectorSpan [Fintype ι] {p : ι → P} (hi : AffineIndependent k p) {n : ℕ} (hc : Fintype.card ι = n + 1) : finrank k (vectorSpan k (Set.range p)) = n := by classical rw [← Finset.card_univ] at hc rw [← Set.image_univ, ← Finset.coe_univ, ← Finset.coe_image] exact hi.finrank_vectorSpan_image_finset hc #align affine_independent.finrank_vector_span AffineIndependent.finrank_vectorSpan lemma AffineIndependent.finrank_vectorSpan_add_one [Fintype ι] [Nonempty ι] {p : ι → P} (hi : AffineIndependent k p) : finrank k (vectorSpan k (Set.range p)) + 1 = Fintype.card ι := by rw [hi.finrank_vectorSpan (tsub_add_cancel_of_le _).symm, tsub_add_cancel_of_le] <;> exact Fintype.card_pos theorem AffineIndependent.vectorSpan_eq_top_of_card_eq_finrank_add_one [FiniteDimensional k V] [Fintype ι] {p : ι → P} (hi : AffineIndependent k p) (hc : Fintype.card ι = finrank k V + 1) : vectorSpan k (Set.range p) = ⊤ := Submodule.eq_top_of_finrank_eq <| hi.finrank_vectorSpan hc #align affine_independent.vector_span_eq_top_of_card_eq_finrank_add_one AffineIndependent.vectorSpan_eq_top_of_card_eq_finrank_add_one variable (k)
Mathlib/LinearAlgebra/AffineSpace/FiniteDimensional.lean
148
159
theorem finrank_vectorSpan_image_finset_le [DecidableEq P] (p : ι → P) (s : Finset ι) {n : ℕ} (hc : Finset.card s = n + 1) : finrank k (vectorSpan k (s.image p : Set P)) ≤ n := by
classical have hn : (s.image p).Nonempty := by rw [Finset.image_nonempty, ← Finset.card_pos, hc] apply Nat.succ_pos rcases hn with ⟨p₁, hp₁⟩ rw [vectorSpan_eq_span_vsub_finset_right_ne k hp₁] refine le_trans (finrank_span_finset_le_card (((s.image p).erase p₁).image fun p => p -ᵥ p₁)) ?_ rw [Finset.card_image_of_injective _ (vsub_left_injective p₁), Finset.card_erase_of_mem hp₁, tsub_le_iff_right, ← hc] apply Finset.card_image_le
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal #align_import ring_theory.graded_algebra.radical from "leanprover-community/mathlib"@"f1944b30c97c5eb626e498307dec8b022a05bd0a" open GradedRing DirectSum SetLike Finset variable {ι σ A : Type*} variable [CommRing A] variable [LinearOrderedCancelAddCommMonoid ι] variable [SetLike σ A] [AddSubmonoidClass σ A] {𝒜 : ι → σ} [GradedRing 𝒜] -- Porting note: This proof needs a long time to elaborate theorem Ideal.IsHomogeneous.isPrime_of_homogeneous_mem_or_mem {I : Ideal A} (hI : I.IsHomogeneous 𝒜) (I_ne_top : I ≠ ⊤) (homogeneous_mem_or_mem : ∀ {x y : A}, Homogeneous 𝒜 x → Homogeneous 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I) : Ideal.IsPrime I := ⟨I_ne_top, by intro x y hxy by_contra! rid obtain ⟨rid₁, rid₂⟩ := rid classical set set₁ := (decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I) with set₁_eq set set₂ := (decompose 𝒜 y).support.filter (fun i => proj 𝒜 i y ∉ I) with set₂_eq have nonempty : ∀ x : A, x ∉ I → ((decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I)).Nonempty := by intro x hx rw [filter_nonempty_iff] contrapose! hx simp_rw [proj_apply] at hx rw [← sum_support_decompose 𝒜 x] exact Ideal.sum_mem _ hx set max₁ := set₁.max' (nonempty x rid₁) set max₂ := set₂.max' (nonempty y rid₂) have mem_max₁ : max₁ ∈ set₁ := max'_mem set₁ (nonempty x rid₁) have mem_max₂ : max₂ ∈ set₂ := max'_mem set₂ (nonempty y rid₂) replace hxy : proj 𝒜 (max₁ + max₂) (x * y) ∈ I := hI _ hxy have mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∈ I := by set antidiag := ((decompose 𝒜 x).support ×ˢ (decompose 𝒜 y).support).filter (fun z : ι × ι => z.1 + z.2 = max₁ + max₂) with ha have mem_antidiag : (max₁, max₂) ∈ antidiag := by simp only [antidiag, add_sum_erase, mem_filter, mem_product] exact ⟨⟨mem_of_mem_filter _ mem_max₁, mem_of_mem_filter _ mem_max₂⟩, trivial⟩ have eq_add_sum := calc proj 𝒜 (max₁ + max₂) (x * y) = ∑ ij ∈ antidiag, proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := by simp_rw [ha, proj_apply, DirectSum.decompose_mul, DirectSum.coe_mul_apply 𝒜] _ = proj 𝒜 max₁ x * proj 𝒜 max₂ y + ∑ ij ∈ antidiag.erase (max₁, max₂), proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := (add_sum_erase _ _ mem_antidiag).symm rw [eq_sub_of_add_eq eq_add_sum.symm] refine Ideal.sub_mem _ hxy (Ideal.sum_mem _ fun z H => ?_) rcases z with ⟨i, j⟩ simp only [antidiag, mem_erase, Prod.mk.inj_iff, Ne, mem_filter, mem_product] at H rcases H with ⟨H₁, ⟨H₂, H₃⟩, H₄⟩ have max_lt : max₁ < i ∨ max₂ < j := by rcases lt_trichotomy max₁ i with (h | rfl | h) · exact Or.inl h · refine False.elim (H₁ ⟨rfl, add_left_cancel H₄⟩) · apply Or.inr have := add_lt_add_right h j rw [H₄] at this exact lt_of_add_lt_add_left this cases' max_lt with max_lt max_lt · -- in this case `max₁ < i`, then `xᵢ ∈ I`; for otherwise `i ∈ set₁` then `i ≤ max₁`. have not_mem : i ∉ set₁ := fun h => lt_irrefl _ ((max'_lt_iff set₁ (nonempty x rid₁)).mp max_lt i h) rw [set₁_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_right _ I (not_mem H₂) · -- in this case `max₂ < j`, then `yⱼ ∈ I`; for otherwise `j ∈ set₂`, then `j ≤ max₂`. have not_mem : j ∉ set₂ := fun h => lt_irrefl _ ((max'_lt_iff set₂ (nonempty y rid₂)).mp max_lt j h) rw [set₂_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_left I _ (not_mem H₃) have not_mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∉ I := by have neither_mem : proj 𝒜 max₁ x ∉ I ∧ proj 𝒜 max₂ y ∉ I := by rw [mem_filter] at mem_max₁ mem_max₂ exact ⟨mem_max₁.2, mem_max₂.2⟩ intro _rid cases' homogeneous_mem_or_mem ⟨max₁, SetLike.coe_mem _⟩ ⟨max₂, SetLike.coe_mem _⟩ mem_I with h h · apply neither_mem.1 h · apply neither_mem.2 h exact not_mem_I mem_I⟩ #align ideal.is_homogeneous.is_prime_of_homogeneous_mem_or_mem Ideal.IsHomogeneous.isPrime_of_homogeneous_mem_or_mem theorem Ideal.IsHomogeneous.isPrime_iff {I : Ideal A} (h : I.IsHomogeneous 𝒜) : I.IsPrime ↔ I ≠ ⊤ ∧ ∀ {x y : A}, SetLike.Homogeneous 𝒜 x → SetLike.Homogeneous 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I := ⟨fun HI => ⟨HI.ne_top, fun _ _ hxy => Ideal.IsPrime.mem_or_mem HI hxy⟩, fun ⟨I_ne_top, homogeneous_mem_or_mem⟩ => h.isPrime_of_homogeneous_mem_or_mem I_ne_top @homogeneous_mem_or_mem⟩ #align ideal.is_homogeneous.is_prime_iff Ideal.IsHomogeneous.isPrime_iff theorem Ideal.IsPrime.homogeneousCore {I : Ideal A} (h : I.IsPrime) : (I.homogeneousCore 𝒜).toIdeal.IsPrime := by apply (Ideal.homogeneousCore 𝒜 I).is_homogeneous'.isPrime_of_homogeneous_mem_or_mem · exact ne_top_of_le_ne_top h.ne_top (Ideal.toIdeal_homogeneousCore_le 𝒜 I) rintro x y hx hy hxy have H := h.mem_or_mem (Ideal.toIdeal_homogeneousCore_le 𝒜 I hxy) refine H.imp ?_ ?_ · exact Ideal.mem_homogeneousCore_of_homogeneous_of_mem hx · exact Ideal.mem_homogeneousCore_of_homogeneous_of_mem hy #align ideal.is_prime.homogeneous_core Ideal.IsPrime.homogeneousCore
Mathlib/RingTheory/GradedAlgebra/Radical.lean
160
169
theorem Ideal.IsHomogeneous.radical_eq {I : Ideal A} (hI : I.IsHomogeneous 𝒜) : I.radical = InfSet.sInf { J | Ideal.IsHomogeneous 𝒜 J ∧ I ≤ J ∧ J.IsPrime } := by
rw [Ideal.radical_eq_sInf] apply le_antisymm · exact sInf_le_sInf fun J => And.right · refine sInf_le_sInf_of_forall_exists_le ?_ rintro J ⟨HJ₁, HJ₂⟩ refine ⟨(J.homogeneousCore 𝒜).toIdeal, ?_, J.toIdeal_homogeneousCore_le _⟩ refine ⟨HomogeneousIdeal.isHomogeneous _, ?_, HJ₂.homogeneousCore⟩ exact hI.toIdeal_homogeneousCore_eq_self.symm.trans_le (Ideal.homogeneousCore_mono _ HJ₁)
import Mathlib.Computability.DFA import Mathlib.Data.Fintype.Powerset #align_import computability.NFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" open Set open Computability universe u v -- Porting note: Required as `NFA` is used in mathlib3 set_option linter.uppercaseLean3 false structure NFA (α : Type u) (σ : Type v) where step : σ → α → Set σ start : Set σ accept : Set σ #align NFA NFA variable {α : Type u} {σ σ' : Type v} (M : NFA α σ) namespace NFA instance : Inhabited (NFA α σ) := ⟨NFA.mk (fun _ _ => ∅) ∅ ∅⟩ def stepSet (S : Set σ) (a : α) : Set σ := ⋃ s ∈ S, M.step s a #align NFA.step_set NFA.stepSet theorem mem_stepSet (s : σ) (S : Set σ) (a : α) : s ∈ M.stepSet S a ↔ ∃ t ∈ S, s ∈ M.step t a := by simp [stepSet] #align NFA.mem_step_set NFA.mem_stepSet @[simp] theorem stepSet_empty (a : α) : M.stepSet ∅ a = ∅ := by simp [stepSet] #align NFA.step_set_empty NFA.stepSet_empty def evalFrom (start : Set σ) : List α → Set σ := List.foldl M.stepSet start #align NFA.eval_from NFA.evalFrom @[simp] theorem evalFrom_nil (S : Set σ) : M.evalFrom S [] = S := rfl #align NFA.eval_from_nil NFA.evalFrom_nil @[simp] theorem evalFrom_singleton (S : Set σ) (a : α) : M.evalFrom S [a] = M.stepSet S a := rfl #align NFA.eval_from_singleton NFA.evalFrom_singleton @[simp] theorem evalFrom_append_singleton (S : Set σ) (x : List α) (a : α) : M.evalFrom S (x ++ [a]) = M.stepSet (M.evalFrom S x) a := by simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil] #align NFA.eval_from_append_singleton NFA.evalFrom_append_singleton def eval : List α → Set σ := M.evalFrom M.start #align NFA.eval NFA.eval @[simp] theorem eval_nil : M.eval [] = M.start := rfl #align NFA.eval_nil NFA.eval_nil @[simp] theorem eval_singleton (a : α) : M.eval [a] = M.stepSet M.start a := rfl #align NFA.eval_singleton NFA.eval_singleton @[simp] theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.stepSet (M.eval x) a := evalFrom_append_singleton _ _ _ _ #align NFA.eval_append_singleton NFA.eval_append_singleton def accepts : Language α := {x | ∃ S ∈ M.accept, S ∈ M.eval x} #align NFA.accepts NFA.accepts
Mathlib/Computability/NFA.lean
108
109
theorem mem_accepts {x : List α} : x ∈ M.accepts ↔ ∃ S ∈ M.accept, S ∈ M.evalFrom M.start x := by
rfl
import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.nakayama from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] open Ideal namespace Submodule theorem eq_smul_of_le_smul_of_le_jacobson {I J : Ideal R} {N : Submodule R M} (hN : N.FG) (hIN : N ≤ I • N) (hIjac : I ≤ jacobson J) : N = J • N := by refine le_antisymm ?_ (Submodule.smul_le.2 fun _ _ _ => Submodule.smul_mem _ _) intro n hn cases' Submodule.exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul I N hN hIN with r hr cases' exists_mul_sub_mem_of_sub_one_mem_jacobson r (hIjac hr.1) with s hs have : n = -(s * r - 1) • n := by rw [neg_sub, sub_smul, mul_smul, hr.2 n hn, one_smul, smul_zero, sub_zero] rw [this] exact Submodule.smul_mem_smul (Submodule.neg_mem _ hs) hn #align submodule.eq_smul_of_le_smul_of_le_jacobson Submodule.eq_smul_of_le_smul_of_le_jacobson lemma eq_bot_of_eq_ideal_smul_of_le_jacobson_annihilator {I : Ideal R} {N : Submodule R M} (hN : FG N) (hIN : N = I • N) (hIjac : I ≤ N.annihilator.jacobson) : N = ⊥ := (eq_smul_of_le_smul_of_le_jacobson hN hIN.le hIjac).trans N.annihilator_smul open Pointwise in lemma eq_bot_of_eq_pointwise_smul_of_mem_jacobson_annihilator {r : R} {N : Submodule R M} (hN : FG N) (hrN : N = r • N) (hrJac : r ∈ N.annihilator.jacobson) : N = ⊥ := eq_bot_of_eq_ideal_smul_of_le_jacobson_annihilator hN (Eq.trans hrN (ideal_span_singleton_smul r N).symm) ((span_singleton_le_iff_mem r _).mpr hrJac) open Pointwise in lemma eq_bot_of_set_smul_eq_of_subset_jacobson_annihilator {s : Set R} {N : Submodule R M} (hN : FG N) (hsN : N = s • N) (hsJac : s ⊆ N.annihilator.jacobson) : N = ⊥ := eq_bot_of_eq_ideal_smul_of_le_jacobson_annihilator hN (Eq.trans hsN (span_smul_eq s N).symm) (span_le.mpr hsJac) lemma top_ne_ideal_smul_of_le_jacobson_annihilator [Nontrivial M] [Module.Finite R M] {I} (h : I ≤ (Module.annihilator R M).jacobson) : (⊤ : Submodule R M) ≠ I • ⊤ := fun H => top_ne_bot <| eq_bot_of_eq_ideal_smul_of_le_jacobson_annihilator Module.Finite.out H <| (congrArg (I ≤ Ideal.jacobson ·) annihilator_top).mpr h open Pointwise in lemma top_ne_set_smul_of_subset_jacobson_annihilator [Nontrivial M] [Module.Finite R M] {s : Set R} (h : s ⊆ (Module.annihilator R M).jacobson) : (⊤ : Submodule R M) ≠ s • ⊤ := ne_of_ne_of_eq (top_ne_ideal_smul_of_le_jacobson_annihilator (span_le.mpr h)) (span_smul_eq _ _) open Pointwise in lemma top_ne_pointwise_smul_of_mem_jacobson_annihilator [Nontrivial M] [Module.Finite R M] {r} (h : r ∈ (Module.annihilator R M).jacobson) : (⊤ : Submodule R M) ≠ r • ⊤ := ne_of_ne_of_eq (top_ne_set_smul_of_subset_jacobson_annihilator <| Set.singleton_subset_iff.mpr h) (singleton_set_smul ⊤ r) theorem eq_bot_of_le_smul_of_le_jacobson_bot (I : Ideal R) (N : Submodule R M) (hN : N.FG) (hIN : N ≤ I • N) (hIjac : I ≤ jacobson ⊥) : N = ⊥ := by rw [eq_smul_of_le_smul_of_le_jacobson hN hIN hIjac, Submodule.bot_smul] #align submodule.eq_bot_of_le_smul_of_le_jacobson_bot Submodule.eq_bot_of_le_smul_of_le_jacobson_bot
Mathlib/RingTheory/Nakayama.lean
114
126
theorem sup_eq_sup_smul_of_le_smul_of_le_jacobson {I J : Ideal R} {N N' : Submodule R M} (hN' : N'.FG) (hIJ : I ≤ jacobson J) (hNN : N' ≤ N ⊔ I • N') : N ⊔ N' = N ⊔ J • N' := by
have hNN' : N ⊔ N' = N ⊔ I • N' := le_antisymm (sup_le le_sup_left hNN) (sup_le_sup_left (Submodule.smul_le.2 fun _ _ _ => Submodule.smul_mem _ _) _) have h_comap := Submodule.comap_injective_of_surjective (LinearMap.range_eq_top.1 N.range_mkQ) have : (I • N').map N.mkQ = N'.map N.mkQ := by simpa only [← h_comap.eq_iff, comap_map_mkQ, sup_comm, eq_comm] using hNN' have := @Submodule.eq_smul_of_le_smul_of_le_jacobson _ _ _ _ _ I J (N'.map N.mkQ) (hN'.map _) (by rw [← map_smul'', this]) hIJ rwa [← map_smul'', ← h_comap.eq_iff, comap_map_eq, comap_map_eq, Submodule.ker_mkQ, sup_comm, sup_comm (b := N)] at this
import Mathlib.Combinatorics.SimpleGraph.Connectivity import Mathlib.Data.Nat.Lattice #align_import combinatorics.simple_graph.metric from "leanprover-community/mathlib"@"352ecfe114946c903338006dd3287cb5a9955ff2" namespace SimpleGraph variable {V : Type*} (G : SimpleGraph V) noncomputable def dist (u v : V) : ℕ := sInf (Set.range (Walk.length : G.Walk u v → ℕ)) #align simple_graph.dist SimpleGraph.dist variable {G} protected theorem Reachable.exists_walk_of_dist {u v : V} (hr : G.Reachable u v) : ∃ p : G.Walk u v, p.length = G.dist u v := Nat.sInf_mem (Set.range_nonempty_iff_nonempty.mpr hr) #align simple_graph.reachable.exists_walk_of_dist SimpleGraph.Reachable.exists_walk_of_dist protected theorem Connected.exists_walk_of_dist (hconn : G.Connected) (u v : V) : ∃ p : G.Walk u v, p.length = G.dist u v := (hconn u v).exists_walk_of_dist #align simple_graph.connected.exists_walk_of_dist SimpleGraph.Connected.exists_walk_of_dist theorem dist_le {u v : V} (p : G.Walk u v) : G.dist u v ≤ p.length := Nat.sInf_le ⟨p, rfl⟩ #align simple_graph.dist_le SimpleGraph.dist_le @[simp] theorem dist_eq_zero_iff_eq_or_not_reachable {u v : V} : G.dist u v = 0 ↔ u = v ∨ ¬G.Reachable u v := by simp [dist, Nat.sInf_eq_zero, Reachable] #align simple_graph.dist_eq_zero_iff_eq_or_not_reachable SimpleGraph.dist_eq_zero_iff_eq_or_not_reachable theorem dist_self {v : V} : dist G v v = 0 := by simp #align simple_graph.dist_self SimpleGraph.dist_self protected theorem Reachable.dist_eq_zero_iff {u v : V} (hr : G.Reachable u v) : G.dist u v = 0 ↔ u = v := by simp [hr] #align simple_graph.reachable.dist_eq_zero_iff SimpleGraph.Reachable.dist_eq_zero_iff protected theorem Reachable.pos_dist_of_ne {u v : V} (h : G.Reachable u v) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by simp [h, hne]) #align simple_graph.reachable.pos_dist_of_ne SimpleGraph.Reachable.pos_dist_of_ne protected theorem Connected.dist_eq_zero_iff (hconn : G.Connected) {u v : V} : G.dist u v = 0 ↔ u = v := by simp [hconn u v] #align simple_graph.connected.dist_eq_zero_iff SimpleGraph.Connected.dist_eq_zero_iff protected theorem Connected.pos_dist_of_ne {u v : V} (hconn : G.Connected) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by intro h; exact False.elim (hne (hconn.dist_eq_zero_iff.mp h))) #align simple_graph.connected.pos_dist_of_ne SimpleGraph.Connected.pos_dist_of_ne theorem dist_eq_zero_of_not_reachable {u v : V} (h : ¬G.Reachable u v) : G.dist u v = 0 := by simp [h] #align simple_graph.dist_eq_zero_of_not_reachable SimpleGraph.dist_eq_zero_of_not_reachable theorem nonempty_of_pos_dist {u v : V} (h : 0 < G.dist u v) : (Set.univ : Set (G.Walk u v)).Nonempty := by simpa [Set.range_nonempty_iff_nonempty, Set.nonempty_iff_univ_nonempty] using Nat.nonempty_of_pos_sInf h #align simple_graph.nonempty_of_pos_dist SimpleGraph.nonempty_of_pos_dist protected theorem Connected.dist_triangle (hconn : G.Connected) {u v w : V} : G.dist u w ≤ G.dist u v + G.dist v w := by obtain ⟨p, hp⟩ := hconn.exists_walk_of_dist u v obtain ⟨q, hq⟩ := hconn.exists_walk_of_dist v w rw [← hp, ← hq, ← Walk.length_append] apply dist_le #align simple_graph.connected.dist_triangle SimpleGraph.Connected.dist_triangle private theorem dist_comm_aux {u v : V} (h : G.Reachable u v) : G.dist u v ≤ G.dist v u := by obtain ⟨p, hp⟩ := h.symm.exists_walk_of_dist rw [← hp, ← Walk.length_reverse] apply dist_le
Mathlib/Combinatorics/SimpleGraph/Metric.lean
118
122
theorem dist_comm {u v : V} : G.dist u v = G.dist v u := by
by_cases h : G.Reachable u v · apply le_antisymm (dist_comm_aux h) (dist_comm_aux h.symm) · have h' : ¬G.Reachable v u := fun h' => absurd h'.symm h simp [h, h', dist_eq_zero_of_not_reachable]
import Mathlib.Algebra.Algebra.Tower import Mathlib.Analysis.LocallyConvex.WithSeminorms import Mathlib.Topology.Algebra.Module.StrongTopology import Mathlib.Analysis.NormedSpace.LinearIsometry import Mathlib.Analysis.NormedSpace.ContinuousLinearMap import Mathlib.Tactic.SuppressCompilation #align_import analysis.normed_space.operator_norm from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f" suppress_compilation open Bornology open Filter hiding map_smul open scoped Classical NNReal Topology Uniformity -- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*} section SemiNormed open Metric ContinuousLinearMap variable [SeminormedAddCommGroup E] [SeminormedAddCommGroup Eₗ] [SeminormedAddCommGroup F] [SeminormedAddCommGroup Fₗ] [SeminormedAddCommGroup G] [SeminormedAddCommGroup Gₗ] variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃] [NormedSpace 𝕜 E] [NormedSpace 𝕜 Eₗ] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜 Fₗ] [NormedSpace 𝕜₃ G] {σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} {σ₁₃ : 𝕜 →+* 𝕜₃} [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] variable [FunLike 𝓕 E F] theorem norm_image_of_norm_zero [SemilinearMapClass 𝓕 σ₁₂ E F] (f : 𝓕) (hf : Continuous f) {x : E} (hx : ‖x‖ = 0) : ‖f x‖ = 0 := by rw [← mem_closure_zero_iff_norm, ← specializes_iff_mem_closure, ← map_zero f] at * exact hx.map hf #align norm_image_of_norm_zero norm_image_of_norm_zero section variable [RingHomIsometric σ₁₂] [RingHomIsometric σ₂₃] theorem SemilinearMapClass.bound_of_shell_semi_normed [SemilinearMapClass 𝓕 σ₁₂ E F] (f : 𝓕) {ε C : ℝ} (ε_pos : 0 < ε) {c : 𝕜} (hc : 1 < ‖c‖) (hf : ∀ x, ε / ‖c‖ ≤ ‖x‖ → ‖x‖ < ε → ‖f x‖ ≤ C * ‖x‖) {x : E} (hx : ‖x‖ ≠ 0) : ‖f x‖ ≤ C * ‖x‖ := (normSeminorm 𝕜 E).bound_of_shell ((normSeminorm 𝕜₂ F).comp ⟨⟨f, map_add f⟩, map_smulₛₗ f⟩) ε_pos hc hf hx #align semilinear_map_class.bound_of_shell_semi_normed SemilinearMapClass.bound_of_shell_semi_normed theorem SemilinearMapClass.bound_of_continuous [SemilinearMapClass 𝓕 σ₁₂ E F] (f : 𝓕) (hf : Continuous f) : ∃ C, 0 < C ∧ ∀ x : E, ‖f x‖ ≤ C * ‖x‖ := let φ : E →ₛₗ[σ₁₂] F := ⟨⟨f, map_add f⟩, map_smulₛₗ f⟩ ((normSeminorm 𝕜₂ F).comp φ).bound_of_continuous_normedSpace (continuous_norm.comp hf) #align semilinear_map_class.bound_of_continuous SemilinearMapClass.bound_of_continuous end namespace ContinuousLinearMap theorem bound [RingHomIsometric σ₁₂] (f : E →SL[σ₁₂] F) : ∃ C, 0 < C ∧ ∀ x : E, ‖f x‖ ≤ C * ‖x‖ := SemilinearMapClass.bound_of_continuous f f.2 #align continuous_linear_map.bound ContinuousLinearMap.bound section open Filter variable (𝕜 E) def _root_.LinearIsometry.toSpanSingleton {v : E} (hv : ‖v‖ = 1) : 𝕜 →ₗᵢ[𝕜] E := { LinearMap.toSpanSingleton 𝕜 E v with norm_map' := fun x => by simp [norm_smul, hv] } #align linear_isometry.to_span_singleton LinearIsometry.toSpanSingleton variable {𝕜 E} @[simp] theorem _root_.LinearIsometry.toSpanSingleton_apply {v : E} (hv : ‖v‖ = 1) (a : 𝕜) : LinearIsometry.toSpanSingleton 𝕜 E hv a = a • v := rfl #align linear_isometry.to_span_singleton_apply LinearIsometry.toSpanSingleton_apply @[simp] theorem _root_.LinearIsometry.coe_toSpanSingleton {v : E} (hv : ‖v‖ = 1) : (LinearIsometry.toSpanSingleton 𝕜 E hv).toLinearMap = LinearMap.toSpanSingleton 𝕜 E v := rfl #align linear_isometry.coe_to_span_singleton LinearIsometry.coe_toSpanSingleton end section OpNorm open Set Real def opNorm (f : E →SL[σ₁₂] F) := sInf { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } #align continuous_linear_map.op_norm ContinuousLinearMap.opNorm instance hasOpNorm : Norm (E →SL[σ₁₂] F) := ⟨opNorm⟩ #align continuous_linear_map.has_op_norm ContinuousLinearMap.hasOpNorm theorem norm_def (f : E →SL[σ₁₂] F) : ‖f‖ = sInf { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } := rfl #align continuous_linear_map.norm_def ContinuousLinearMap.norm_def -- So that invocations of `le_csInf` make sense: we show that the set of -- bounds is nonempty and bounded below. theorem bounds_nonempty [RingHomIsometric σ₁₂] {f : E →SL[σ₁₂] F} : ∃ c, c ∈ { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } := let ⟨M, hMp, hMb⟩ := f.bound ⟨M, le_of_lt hMp, hMb⟩ #align continuous_linear_map.bounds_nonempty ContinuousLinearMap.bounds_nonempty theorem bounds_bddBelow {f : E →SL[σ₁₂] F} : BddBelow { c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖ } := ⟨0, fun _ ⟨hn, _⟩ => hn⟩ #align continuous_linear_map.bounds_bdd_below ContinuousLinearMap.bounds_bddBelow theorem isLeast_opNorm [RingHomIsometric σ₁₂] (f : E →SL[σ₁₂] F) : IsLeast {c | 0 ≤ c ∧ ∀ x, ‖f x‖ ≤ c * ‖x‖} ‖f‖ := by refine IsClosed.isLeast_csInf ?_ bounds_nonempty bounds_bddBelow simp only [setOf_and, setOf_forall] refine isClosed_Ici.inter <| isClosed_iInter fun _ ↦ isClosed_le ?_ ?_ <;> continuity @[deprecated (since := "2024-02-02")] alias isLeast_op_norm := isLeast_opNorm theorem opNorm_le_bound (f : E →SL[σ₁₂] F) {M : ℝ} (hMp : 0 ≤ M) (hM : ∀ x, ‖f x‖ ≤ M * ‖x‖) : ‖f‖ ≤ M := csInf_le bounds_bddBelow ⟨hMp, hM⟩ #align continuous_linear_map.op_norm_le_bound ContinuousLinearMap.opNorm_le_bound @[deprecated (since := "2024-02-02")] alias op_norm_le_bound := opNorm_le_bound theorem opNorm_le_bound' (f : E →SL[σ₁₂] F) {M : ℝ} (hMp : 0 ≤ M) (hM : ∀ x, ‖x‖ ≠ 0 → ‖f x‖ ≤ M * ‖x‖) : ‖f‖ ≤ M := opNorm_le_bound f hMp fun x => (ne_or_eq ‖x‖ 0).elim (hM x) fun h => by simp only [h, mul_zero, norm_image_of_norm_zero f f.2 h, le_refl] #align continuous_linear_map.op_norm_le_bound' ContinuousLinearMap.opNorm_le_bound' @[deprecated (since := "2024-02-02")] alias op_norm_le_bound' := opNorm_le_bound' theorem opNorm_le_of_lipschitz {f : E →SL[σ₁₂] F} {K : ℝ≥0} (hf : LipschitzWith K f) : ‖f‖ ≤ K := f.opNorm_le_bound K.2 fun x => by simpa only [dist_zero_right, f.map_zero] using hf.dist_le_mul x 0 #align continuous_linear_map.op_norm_le_of_lipschitz ContinuousLinearMap.opNorm_le_of_lipschitz @[deprecated (since := "2024-02-02")] alias op_norm_le_of_lipschitz := opNorm_le_of_lipschitz theorem opNorm_eq_of_bounds {φ : E →SL[σ₁₂] F} {M : ℝ} (M_nonneg : 0 ≤ M) (h_above : ∀ x, ‖φ x‖ ≤ M * ‖x‖) (h_below : ∀ N ≥ 0, (∀ x, ‖φ x‖ ≤ N * ‖x‖) → M ≤ N) : ‖φ‖ = M := le_antisymm (φ.opNorm_le_bound M_nonneg h_above) ((le_csInf_iff ContinuousLinearMap.bounds_bddBelow ⟨M, M_nonneg, h_above⟩).mpr fun N ⟨N_nonneg, hN⟩ => h_below N N_nonneg hN) #align continuous_linear_map.op_norm_eq_of_bounds ContinuousLinearMap.opNorm_eq_of_bounds @[deprecated (since := "2024-02-02")] alias op_norm_eq_of_bounds := opNorm_eq_of_bounds theorem opNorm_neg (f : E →SL[σ₁₂] F) : ‖-f‖ = ‖f‖ := by simp only [norm_def, neg_apply, norm_neg] #align continuous_linear_map.op_norm_neg ContinuousLinearMap.opNorm_neg @[deprecated (since := "2024-02-02")] alias op_norm_neg := opNorm_neg theorem opNorm_nonneg (f : E →SL[σ₁₂] F) : 0 ≤ ‖f‖ := Real.sInf_nonneg _ fun _ ↦ And.left #align continuous_linear_map.op_norm_nonneg ContinuousLinearMap.opNorm_nonneg @[deprecated (since := "2024-02-02")] alias op_norm_nonneg := opNorm_nonneg theorem opNorm_zero : ‖(0 : E →SL[σ₁₂] F)‖ = 0 := le_antisymm (opNorm_le_bound _ le_rfl fun _ ↦ by simp) (opNorm_nonneg _) #align continuous_linear_map.op_norm_zero ContinuousLinearMap.opNorm_zero @[deprecated (since := "2024-02-02")] alias op_norm_zero := opNorm_zero theorem norm_id_le : ‖id 𝕜 E‖ ≤ 1 := opNorm_le_bound _ zero_le_one fun x => by simp #align continuous_linear_map.norm_id_le ContinuousLinearMap.norm_id_le section variable [RingHomIsometric σ₁₂] [RingHomIsometric σ₂₃] (f g : E →SL[σ₁₂] F) (h : F →SL[σ₂₃] G) (x : E) theorem le_opNorm : ‖f x‖ ≤ ‖f‖ * ‖x‖ := (isLeast_opNorm f).1.2 x #align continuous_linear_map.le_op_norm ContinuousLinearMap.le_opNorm @[deprecated (since := "2024-02-02")] alias le_op_norm := le_opNorm theorem dist_le_opNorm (x y : E) : dist (f x) (f y) ≤ ‖f‖ * dist x y := by simp_rw [dist_eq_norm, ← map_sub, f.le_opNorm] #align continuous_linear_map.dist_le_op_norm ContinuousLinearMap.dist_le_opNorm @[deprecated (since := "2024-02-02")] alias dist_le_op_norm := dist_le_opNorm theorem le_of_opNorm_le_of_le {x} {a b : ℝ} (hf : ‖f‖ ≤ a) (hx : ‖x‖ ≤ b) : ‖f x‖ ≤ a * b := (f.le_opNorm x).trans <| by gcongr; exact (opNorm_nonneg f).trans hf @[deprecated (since := "2024-02-02")] alias le_of_op_norm_le_of_le := le_of_opNorm_le_of_le theorem le_opNorm_of_le {c : ℝ} {x} (h : ‖x‖ ≤ c) : ‖f x‖ ≤ ‖f‖ * c := f.le_of_opNorm_le_of_le le_rfl h #align continuous_linear_map.le_op_norm_of_le ContinuousLinearMap.le_opNorm_of_le @[deprecated (since := "2024-02-02")] alias le_op_norm_of_le := le_opNorm_of_le theorem le_of_opNorm_le {c : ℝ} (h : ‖f‖ ≤ c) (x : E) : ‖f x‖ ≤ c * ‖x‖ := f.le_of_opNorm_le_of_le h le_rfl #align continuous_linear_map.le_of_op_norm_le ContinuousLinearMap.le_of_opNorm_le @[deprecated (since := "2024-02-02")] alias le_of_op_norm_le := le_of_opNorm_le theorem opNorm_le_iff {f : E →SL[σ₁₂] F} {M : ℝ} (hMp : 0 ≤ M) : ‖f‖ ≤ M ↔ ∀ x, ‖f x‖ ≤ M * ‖x‖ := ⟨f.le_of_opNorm_le, opNorm_le_bound f hMp⟩ @[deprecated (since := "2024-02-02")] alias op_norm_le_iff := opNorm_le_iff theorem ratio_le_opNorm : ‖f x‖ / ‖x‖ ≤ ‖f‖ := div_le_of_nonneg_of_le_mul (norm_nonneg _) f.opNorm_nonneg (le_opNorm _ _) #align continuous_linear_map.ratio_le_op_norm ContinuousLinearMap.ratio_le_opNorm @[deprecated (since := "2024-02-02")] alias ratio_le_op_norm := ratio_le_opNorm theorem unit_le_opNorm : ‖x‖ ≤ 1 → ‖f x‖ ≤ ‖f‖ := mul_one ‖f‖ ▸ f.le_opNorm_of_le #align continuous_linear_map.unit_le_op_norm ContinuousLinearMap.unit_le_opNorm @[deprecated (since := "2024-02-02")] alias unit_le_op_norm := unit_le_opNorm theorem opNorm_le_of_shell {f : E →SL[σ₁₂] F} {ε C : ℝ} (ε_pos : 0 < ε) (hC : 0 ≤ C) {c : 𝕜} (hc : 1 < ‖c‖) (hf : ∀ x, ε / ‖c‖ ≤ ‖x‖ → ‖x‖ < ε → ‖f x‖ ≤ C * ‖x‖) : ‖f‖ ≤ C := f.opNorm_le_bound' hC fun _ hx => SemilinearMapClass.bound_of_shell_semi_normed f ε_pos hc hf hx #align continuous_linear_map.op_norm_le_of_shell ContinuousLinearMap.opNorm_le_of_shell @[deprecated (since := "2024-02-02")] alias op_norm_le_of_shell := opNorm_le_of_shell
Mathlib/Analysis/NormedSpace/OperatorNorm/Basic.lean
275
279
theorem opNorm_le_of_ball {f : E →SL[σ₁₂] F} {ε : ℝ} {C : ℝ} (ε_pos : 0 < ε) (hC : 0 ≤ C) (hf : ∀ x ∈ ball (0 : E) ε, ‖f x‖ ≤ C * ‖x‖) : ‖f‖ ≤ C := by
rcases NormedField.exists_one_lt_norm 𝕜 with ⟨c, hc⟩ refine opNorm_le_of_shell ε_pos hC hc fun x _ hx => hf x ?_ rwa [ball_zero_eq]
import Mathlib.Tactic.TFAE import Mathlib.Topology.ContinuousOn #align_import topology.inseparable from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Set Filter Function Topology List variable {X Y Z α ι : Type*} {π : ι → Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [∀ i, TopologicalSpace (π i)] {x y z : X} {s : Set X} {f g : X → Y} theorem specializes_TFAE (x y : X) : TFAE [x ⤳ y, pure x ≤ 𝓝 y, ∀ s : Set X , IsOpen s → y ∈ s → x ∈ s, ∀ s : Set X , IsClosed s → x ∈ s → y ∈ s, y ∈ closure ({ x } : Set X), closure ({ y } : Set X) ⊆ closure { x }, ClusterPt y (pure x)] := by tfae_have 1 → 2 · exact (pure_le_nhds _).trans tfae_have 2 → 3 · exact fun h s hso hy => h (hso.mem_nhds hy) tfae_have 3 → 4 · exact fun h s hsc hx => of_not_not fun hy => h sᶜ hsc.isOpen_compl hy hx tfae_have 4 → 5 · exact fun h => h _ isClosed_closure (subset_closure <| mem_singleton _) tfae_have 6 ↔ 5 · exact isClosed_closure.closure_subset_iff.trans singleton_subset_iff tfae_have 5 ↔ 7 · rw [mem_closure_iff_clusterPt, principal_singleton] tfae_have 5 → 1 · refine fun h => (nhds_basis_opens _).ge_iff.2 ?_ rintro s ⟨hy, ho⟩ rcases mem_closure_iff.1 h s ho hy with ⟨z, hxs, rfl : z = x⟩ exact ho.mem_nhds hxs tfae_finish #align specializes_tfae specializes_TFAE theorem specializes_iff_nhds : x ⤳ y ↔ 𝓝 x ≤ 𝓝 y := Iff.rfl #align specializes_iff_nhds specializes_iff_nhds theorem Specializes.not_disjoint (h : x ⤳ y) : ¬Disjoint (𝓝 x) (𝓝 y) := fun hd ↦ absurd (hd.mono_right h) <| by simp [NeBot.ne'] theorem specializes_iff_pure : x ⤳ y ↔ pure x ≤ 𝓝 y := (specializes_TFAE x y).out 0 1 #align specializes_iff_pure specializes_iff_pure alias ⟨Specializes.nhds_le_nhds, _⟩ := specializes_iff_nhds #align specializes.nhds_le_nhds Specializes.nhds_le_nhds alias ⟨Specializes.pure_le_nhds, _⟩ := specializes_iff_pure #align specializes.pure_le_nhds Specializes.pure_le_nhds theorem ker_nhds_eq_specializes : (𝓝 x).ker = {y | y ⤳ x} := by ext; simp [specializes_iff_pure, le_def] theorem specializes_iff_forall_open : x ⤳ y ↔ ∀ s : Set X, IsOpen s → y ∈ s → x ∈ s := (specializes_TFAE x y).out 0 2 #align specializes_iff_forall_open specializes_iff_forall_open theorem Specializes.mem_open (h : x ⤳ y) (hs : IsOpen s) (hy : y ∈ s) : x ∈ s := specializes_iff_forall_open.1 h s hs hy #align specializes.mem_open Specializes.mem_open theorem IsOpen.not_specializes (hs : IsOpen s) (hx : x ∉ s) (hy : y ∈ s) : ¬x ⤳ y := fun h => hx <| h.mem_open hs hy #align is_open.not_specializes IsOpen.not_specializes theorem specializes_iff_forall_closed : x ⤳ y ↔ ∀ s : Set X, IsClosed s → x ∈ s → y ∈ s := (specializes_TFAE x y).out 0 3 #align specializes_iff_forall_closed specializes_iff_forall_closed theorem Specializes.mem_closed (h : x ⤳ y) (hs : IsClosed s) (hx : x ∈ s) : y ∈ s := specializes_iff_forall_closed.1 h s hs hx #align specializes.mem_closed Specializes.mem_closed theorem IsClosed.not_specializes (hs : IsClosed s) (hx : x ∈ s) (hy : y ∉ s) : ¬x ⤳ y := fun h => hy <| h.mem_closed hs hx #align is_closed.not_specializes IsClosed.not_specializes theorem specializes_iff_mem_closure : x ⤳ y ↔ y ∈ closure ({x} : Set X) := (specializes_TFAE x y).out 0 4 #align specializes_iff_mem_closure specializes_iff_mem_closure alias ⟨Specializes.mem_closure, _⟩ := specializes_iff_mem_closure #align specializes.mem_closure Specializes.mem_closure theorem specializes_iff_closure_subset : x ⤳ y ↔ closure ({y} : Set X) ⊆ closure {x} := (specializes_TFAE x y).out 0 5 #align specializes_iff_closure_subset specializes_iff_closure_subset alias ⟨Specializes.closure_subset, _⟩ := specializes_iff_closure_subset #align specializes.closure_subset Specializes.closure_subset -- Porting note (#10756): new lemma theorem specializes_iff_clusterPt : x ⤳ y ↔ ClusterPt y (pure x) := (specializes_TFAE x y).out 0 6 theorem Filter.HasBasis.specializes_iff {ι} {p : ι → Prop} {s : ι → Set X} (h : (𝓝 y).HasBasis p s) : x ⤳ y ↔ ∀ i, p i → x ∈ s i := specializes_iff_pure.trans h.ge_iff #align filter.has_basis.specializes_iff Filter.HasBasis.specializes_iff theorem specializes_rfl : x ⤳ x := le_rfl #align specializes_rfl specializes_rfl @[refl] theorem specializes_refl (x : X) : x ⤳ x := specializes_rfl #align specializes_refl specializes_refl @[trans] theorem Specializes.trans : x ⤳ y → y ⤳ z → x ⤳ z := le_trans #align specializes.trans Specializes.trans theorem specializes_of_eq (e : x = y) : x ⤳ y := e ▸ specializes_refl x #align specializes_of_eq specializes_of_eq theorem specializes_of_nhdsWithin (h₁ : 𝓝[s] x ≤ 𝓝[s] y) (h₂ : x ∈ s) : x ⤳ y := specializes_iff_pure.2 <| calc pure x ≤ 𝓝[s] x := le_inf (pure_le_nhds _) (le_principal_iff.2 h₂) _ ≤ 𝓝[s] y := h₁ _ ≤ 𝓝 y := inf_le_left #align specializes_of_nhds_within specializes_of_nhdsWithin theorem Specializes.map_of_continuousAt (h : x ⤳ y) (hy : ContinuousAt f y) : f x ⤳ f y := specializes_iff_pure.2 fun _s hs => mem_pure.2 <| mem_preimage.1 <| mem_of_mem_nhds <| hy.mono_left h hs #align specializes.map_of_continuous_at Specializes.map_of_continuousAt theorem Specializes.map (h : x ⤳ y) (hf : Continuous f) : f x ⤳ f y := h.map_of_continuousAt hf.continuousAt #align specializes.map Specializes.map theorem Inducing.specializes_iff (hf : Inducing f) : f x ⤳ f y ↔ x ⤳ y := by simp only [specializes_iff_mem_closure, hf.closure_eq_preimage_closure_image, image_singleton, mem_preimage] #align inducing.specializes_iff Inducing.specializes_iff theorem subtype_specializes_iff {p : X → Prop} (x y : Subtype p) : x ⤳ y ↔ (x : X) ⤳ y := inducing_subtype_val.specializes_iff.symm #align subtype_specializes_iff subtype_specializes_iff @[simp] theorem specializes_prod {x₁ x₂ : X} {y₁ y₂ : Y} : (x₁, y₁) ⤳ (x₂, y₂) ↔ x₁ ⤳ x₂ ∧ y₁ ⤳ y₂ := by simp only [Specializes, nhds_prod_eq, prod_le_prod] #align specializes_prod specializes_prod theorem Specializes.prod {x₁ x₂ : X} {y₁ y₂ : Y} (hx : x₁ ⤳ x₂) (hy : y₁ ⤳ y₂) : (x₁, y₁) ⤳ (x₂, y₂) := specializes_prod.2 ⟨hx, hy⟩ #align specializes.prod Specializes.prod theorem Specializes.fst {a b : X × Y} (h : a ⤳ b) : a.1 ⤳ b.1 := (specializes_prod.1 h).1 theorem Specializes.snd {a b : X × Y} (h : a ⤳ b) : a.2 ⤳ b.2 := (specializes_prod.1 h).2 @[simp] theorem specializes_pi {f g : ∀ i, π i} : f ⤳ g ↔ ∀ i, f i ⤳ g i := by simp only [Specializes, nhds_pi, pi_le_pi] #align specializes_pi specializes_pi theorem not_specializes_iff_exists_open : ¬x ⤳ y ↔ ∃ S : Set X, IsOpen S ∧ y ∈ S ∧ x ∉ S := by rw [specializes_iff_forall_open] push_neg rfl #align not_specializes_iff_exists_open not_specializes_iff_exists_open theorem not_specializes_iff_exists_closed : ¬x ⤳ y ↔ ∃ S : Set X, IsClosed S ∧ x ∈ S ∧ y ∉ S := by rw [specializes_iff_forall_closed] push_neg rfl #align not_specializes_iff_exists_closed not_specializes_iff_exists_closed theorem IsOpen.continuous_piecewise_of_specializes [DecidablePred (· ∈ s)] (hs : IsOpen s) (hf : Continuous f) (hg : Continuous g) (hspec : ∀ x, f x ⤳ g x) : Continuous (s.piecewise f g) := by have : ∀ U, IsOpen U → g ⁻¹' U ⊆ f ⁻¹' U := fun U hU x hx ↦ (hspec x).mem_open hU hx rw [continuous_def] intro U hU rw [piecewise_preimage, ite_eq_of_subset_right _ (this U hU)] exact hU.preimage hf |>.inter hs |>.union (hU.preimage hg) theorem IsClosed.continuous_piecewise_of_specializes [DecidablePred (· ∈ s)] (hs : IsClosed s) (hf : Continuous f) (hg : Continuous g) (hspec : ∀ x, g x ⤳ f x) : Continuous (s.piecewise f g) := by simpa only [piecewise_compl] using hs.isOpen_compl.continuous_piecewise_of_specializes hg hf hspec theorem Continuous.specialization_monotone (hf : Continuous f) : @Monotone _ _ (specializationPreorder X) (specializationPreorder Y) f := fun _ _ h => h.map hf #align continuous.specialization_monotone Continuous.specialization_monotone local infixl:0 " ~ᵢ " => Inseparable theorem inseparable_def : (x ~ᵢ y) ↔ 𝓝 x = 𝓝 y := Iff.rfl #align inseparable_def inseparable_def theorem inseparable_iff_specializes_and : (x ~ᵢ y) ↔ x ⤳ y ∧ y ⤳ x := le_antisymm_iff #align inseparable_iff_specializes_and inseparable_iff_specializes_and theorem Inseparable.specializes (h : x ~ᵢ y) : x ⤳ y := h.le #align inseparable.specializes Inseparable.specializes theorem Inseparable.specializes' (h : x ~ᵢ y) : y ⤳ x := h.ge #align inseparable.specializes' Inseparable.specializes' theorem Specializes.antisymm (h₁ : x ⤳ y) (h₂ : y ⤳ x) : x ~ᵢ y := le_antisymm h₁ h₂ #align specializes.antisymm Specializes.antisymm theorem inseparable_iff_forall_open : (x ~ᵢ y) ↔ ∀ s : Set X, IsOpen s → (x ∈ s ↔ y ∈ s) := by simp only [inseparable_iff_specializes_and, specializes_iff_forall_open, ← forall_and, ← iff_def, Iff.comm] #align inseparable_iff_forall_open inseparable_iff_forall_open theorem not_inseparable_iff_exists_open : ¬(x ~ᵢ y) ↔ ∃ s : Set X, IsOpen s ∧ Xor' (x ∈ s) (y ∈ s) := by simp [inseparable_iff_forall_open, ← xor_iff_not_iff] #align not_inseparable_iff_exists_open not_inseparable_iff_exists_open theorem inseparable_iff_forall_closed : (x ~ᵢ y) ↔ ∀ s : Set X, IsClosed s → (x ∈ s ↔ y ∈ s) := by simp only [inseparable_iff_specializes_and, specializes_iff_forall_closed, ← forall_and, ← iff_def] #align inseparable_iff_forall_closed inseparable_iff_forall_closed theorem inseparable_iff_mem_closure : (x ~ᵢ y) ↔ x ∈ closure ({y} : Set X) ∧ y ∈ closure ({x} : Set X) := inseparable_iff_specializes_and.trans <| by simp only [specializes_iff_mem_closure, and_comm] #align inseparable_iff_mem_closure inseparable_iff_mem_closure theorem inseparable_iff_closure_eq : (x ~ᵢ y) ↔ closure ({x} : Set X) = closure {y} := by simp only [inseparable_iff_specializes_and, specializes_iff_closure_subset, ← subset_antisymm_iff, eq_comm] #align inseparable_iff_closure_eq inseparable_iff_closure_eq theorem inseparable_of_nhdsWithin_eq (hx : x ∈ s) (hy : y ∈ s) (h : 𝓝[s] x = 𝓝[s] y) : x ~ᵢ y := (specializes_of_nhdsWithin h.le hx).antisymm (specializes_of_nhdsWithin h.ge hy) #align inseparable_of_nhds_within_eq inseparable_of_nhdsWithin_eq theorem Inducing.inseparable_iff (hf : Inducing f) : (f x ~ᵢ f y) ↔ (x ~ᵢ y) := by simp only [inseparable_iff_specializes_and, hf.specializes_iff] #align inducing.inseparable_iff Inducing.inseparable_iff theorem subtype_inseparable_iff {p : X → Prop} (x y : Subtype p) : (x ~ᵢ y) ↔ ((x : X) ~ᵢ y) := inducing_subtype_val.inseparable_iff.symm #align subtype_inseparable_iff subtype_inseparable_iff @[simp] theorem inseparable_prod {x₁ x₂ : X} {y₁ y₂ : Y} : ((x₁, y₁) ~ᵢ (x₂, y₂)) ↔ (x₁ ~ᵢ x₂) ∧ (y₁ ~ᵢ y₂) := by simp only [Inseparable, nhds_prod_eq, prod_inj] #align inseparable_prod inseparable_prod theorem Inseparable.prod {x₁ x₂ : X} {y₁ y₂ : Y} (hx : x₁ ~ᵢ x₂) (hy : y₁ ~ᵢ y₂) : (x₁, y₁) ~ᵢ (x₂, y₂) := inseparable_prod.2 ⟨hx, hy⟩ #align inseparable.prod Inseparable.prod @[simp]
Mathlib/Topology/Inseparable.lean
310
311
theorem inseparable_pi {f g : ∀ i, π i} : (f ~ᵢ g) ↔ ∀ i, f i ~ᵢ g i := by
simp only [Inseparable, nhds_pi, funext_iff, pi_inj]
import Mathlib.Algebra.Order.Ring.Nat #align_import data.nat.dist from "leanprover-community/mathlib"@"d50b12ae8e2bd910d08a94823976adae9825718b" namespace Nat def dist (n m : ℕ) := n - m + (m - n) #align nat.dist Nat.dist -- Should be aligned to `Nat.dist.eq_def`, but that is generated on demand and isn't present yet. #noalign nat.dist.def theorem dist_comm (n m : ℕ) : dist n m = dist m n := by simp [dist, add_comm] #align nat.dist_comm Nat.dist_comm @[simp] theorem dist_self (n : ℕ) : dist n n = 0 := by simp [dist, tsub_self] #align nat.dist_self Nat.dist_self theorem eq_of_dist_eq_zero {n m : ℕ} (h : dist n m = 0) : n = m := have : n - m = 0 := Nat.eq_zero_of_add_eq_zero_right h have : n ≤ m := tsub_eq_zero_iff_le.mp this have : m - n = 0 := Nat.eq_zero_of_add_eq_zero_left h have : m ≤ n := tsub_eq_zero_iff_le.mp this le_antisymm ‹n ≤ m› ‹m ≤ n› #align nat.eq_of_dist_eq_zero Nat.eq_of_dist_eq_zero
Mathlib/Data/Nat/Dist.lean
42
42
theorem dist_eq_zero {n m : ℕ} (h : n = m) : dist n m = 0 := by
rw [h, dist_self]
import Mathlib.LinearAlgebra.Basis import Mathlib.LinearAlgebra.Dual import Mathlib.Data.Fin.FlagRange open Set Submodule namespace Basis section Semiring variable {R M : Type*} [Semiring R] [AddCommMonoid M] [Module R M] {n : ℕ} def flag (b : Basis (Fin n) R M) (k : Fin (n + 1)) : Submodule R M := .span R <| b '' {i | i.castSucc < k} @[simp]
Mathlib/LinearAlgebra/Basis/Flag.lean
32
32
theorem flag_zero (b : Basis (Fin n) R M) : b.flag 0 = ⊥ := by
simp [flag]
import Mathlib.Algebra.Group.Hom.Defs #align_import algebra.group.ext from "leanprover-community/mathlib"@"e574b1a4e891376b0ef974b926da39e05da12a06" assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered open Function universe u @[to_additive (attr := ext)] theorem Monoid.ext {M : Type u} ⦃m₁ m₂ : Monoid M⦄ (h_mul : (letI := m₁; HMul.hMul : M → M → M) = (letI := m₂; HMul.hMul : M → M → M)) : m₁ = m₂ := by have : m₁.toMulOneClass = m₂.toMulOneClass := MulOneClass.ext h_mul have h₁ : m₁.one = m₂.one := congr_arg (·.one) this let f : @MonoidHom M M m₁.toMulOneClass m₂.toMulOneClass := @MonoidHom.mk _ _ (_) _ (@OneHom.mk _ _ (_) _ id h₁) (fun x y => congr_fun (congr_fun h_mul x) y) have : m₁.npow = m₂.npow := by ext n x exact @MonoidHom.map_pow M M m₁ m₂ f x n rcases m₁ with @⟨@⟨⟨_⟩⟩, ⟨_⟩⟩ rcases m₂ with @⟨@⟨⟨_⟩⟩, ⟨_⟩⟩ congr #align monoid.ext Monoid.ext #align add_monoid.ext AddMonoid.ext @[to_additive] theorem CommMonoid.toMonoid_injective {M : Type u} : Function.Injective (@CommMonoid.toMonoid M) := by rintro ⟨⟩ ⟨⟩ h congr #align comm_monoid.to_monoid_injective CommMonoid.toMonoid_injective #align add_comm_monoid.to_add_monoid_injective AddCommMonoid.toAddMonoid_injective @[to_additive (attr := ext)] theorem CommMonoid.ext {M : Type*} ⦃m₁ m₂ : CommMonoid M⦄ (h_mul : (letI := m₁; HMul.hMul : M → M → M) = (letI := m₂; HMul.hMul : M → M → M)) : m₁ = m₂ := CommMonoid.toMonoid_injective <| Monoid.ext h_mul #align comm_monoid.ext CommMonoid.ext #align add_comm_monoid.ext AddCommMonoid.ext @[to_additive] theorem LeftCancelMonoid.toMonoid_injective {M : Type u} : Function.Injective (@LeftCancelMonoid.toMonoid M) := by rintro @⟨@⟨⟩⟩ @⟨@⟨⟩⟩ h congr <;> injection h #align left_cancel_monoid.to_monoid_injective LeftCancelMonoid.toMonoid_injective #align add_left_cancel_monoid.to_add_monoid_injective AddLeftCancelMonoid.toAddMonoid_injective @[to_additive (attr := ext)] theorem LeftCancelMonoid.ext {M : Type u} ⦃m₁ m₂ : LeftCancelMonoid M⦄ (h_mul : (letI := m₁; HMul.hMul : M → M → M) = (letI := m₂; HMul.hMul : M → M → M)) : m₁ = m₂ := LeftCancelMonoid.toMonoid_injective <| Monoid.ext h_mul #align left_cancel_monoid.ext LeftCancelMonoid.ext #align add_left_cancel_monoid.ext AddLeftCancelMonoid.ext @[to_additive] theorem RightCancelMonoid.toMonoid_injective {M : Type u} : Function.Injective (@RightCancelMonoid.toMonoid M) := by rintro @⟨@⟨⟩⟩ @⟨@⟨⟩⟩ h congr <;> injection h #align right_cancel_monoid.to_monoid_injective RightCancelMonoid.toMonoid_injective #align add_right_cancel_monoid.to_add_monoid_injective AddRightCancelMonoid.toAddMonoid_injective @[to_additive (attr := ext)] theorem RightCancelMonoid.ext {M : Type u} ⦃m₁ m₂ : RightCancelMonoid M⦄ (h_mul : (letI := m₁; HMul.hMul : M → M → M) = (letI := m₂; HMul.hMul : M → M → M)) : m₁ = m₂ := RightCancelMonoid.toMonoid_injective <| Monoid.ext h_mul #align right_cancel_monoid.ext RightCancelMonoid.ext #align add_right_cancel_monoid.ext AddRightCancelMonoid.ext @[to_additive] theorem CancelMonoid.toLeftCancelMonoid_injective {M : Type u} : Function.Injective (@CancelMonoid.toLeftCancelMonoid M) := by rintro ⟨⟩ ⟨⟩ h congr #align cancel_monoid.to_left_cancel_monoid_injective CancelMonoid.toLeftCancelMonoid_injective #align add_cancel_monoid.to_left_cancel_add_monoid_injective AddCancelMonoid.toAddLeftCancelMonoid_injective @[to_additive (attr := ext)] theorem CancelMonoid.ext {M : Type*} ⦃m₁ m₂ : CancelMonoid M⦄ (h_mul : (letI := m₁; HMul.hMul : M → M → M) = (letI := m₂; HMul.hMul : M → M → M)) : m₁ = m₂ := CancelMonoid.toLeftCancelMonoid_injective <| LeftCancelMonoid.ext h_mul #align cancel_monoid.ext CancelMonoid.ext #align add_cancel_monoid.ext AddCancelMonoid.ext @[to_additive]
Mathlib/Algebra/Group/Ext.lean
119
124
theorem CancelCommMonoid.toCommMonoid_injective {M : Type u} : Function.Injective (@CancelCommMonoid.toCommMonoid M) := by
rintro @⟨@⟨@⟨⟩⟩⟩ @⟨@⟨@⟨⟩⟩⟩ h congr <;> { injection h with h' injection h' }
import Mathlib.Geometry.Manifold.MFDeriv.SpecificFunctions noncomputable section open scoped Manifold open Bundle Set Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] section Charts variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M'] [SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H}
Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean
89
106
theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I e x := by
rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩ have mem : I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by simp only [hx, mfld_simps] have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible (chart_mem_atlas H x) h have A : ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm) (I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
import Mathlib.Topology.Bases import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Compactness.SigmaCompact open Set Filter Topology TopologicalSpace universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Lindelof def IsLindelof (s : Set X) := ∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact hs inf_le_right theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx ↦ ?_ rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left] exact hf x hx @[elab_as_elim] theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop} (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by intro f hnf _ hstf rw [← inf_principal, le_inf_iff] at hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1 have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2 exact ⟨x, ⟨hsx, hxt⟩, hx⟩ theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) := inter_comm t s ▸ ht.inter_right hs theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) : IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) : IsLindelof (f '' s) := by intro l lne _ ls have : NeBot (l.comap f ⊓ 𝓟 s) := comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls) obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this _ inf_le_right haveI := hx.neBot use f x, mem_image_of_mem f hxs have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1 rw [nhdsWithin] ac_rfl exact this.neBot theorem IsLindelof.image {f : X → Y} (hs : IsLindelof s) (hf : Continuous f) : IsLindelof (f '' s) := hs.image_of_continuousOn hf.continuousOn theorem IsLindelof.adherence_nhdset {f : Filter X} [CountableInterFilter f] (hs : IsLindelof s) (hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f := (eq_or_neBot _).casesOn mem_of_eq_bot fun _ ↦ let ⟨x, hx, hfx⟩ := @hs (f ⊓ 𝓟 tᶜ) _ _ <| inf_le_of_left_le hf₂ have : x ∈ t := ht₂ x hx hfx.of_inf_left have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (ht₁.mem_nhds this) have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne absurd A this theorem IsLindelof.elim_countable_subcover {ι : Type v} (hs : IsLindelof s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i) := by have hmono : ∀ ⦃s t : Set X⦄, s ⊆ t → (∃ r : Set ι, r.Countable ∧ t ⊆ ⋃ i ∈ r, U i) → (∃ r : Set ι, r.Countable ∧ s ⊆ ⋃ i ∈ r, U i) := by intro _ _ hst ⟨r, ⟨hrcountable, hsub⟩⟩ exact ⟨r, hrcountable, Subset.trans hst hsub⟩ have hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i)) → ∃ r : Set ι, r.Countable ∧ (⋃₀ S ⊆ ⋃ i ∈ r, U i) := by intro S hS hsr choose! r hr using hsr refine ⟨⋃ s ∈ S, r s, hS.biUnion_iff.mpr (fun s hs ↦ (hr s hs).1), ?_⟩ refine sUnion_subset ?h.right.h simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] exact fun i is x hx ↦ mem_biUnion is ((hr i is).2 hx) have h_nhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∃ r : Set ι, r.Countable ∧ (t ⊆ ⋃ i ∈ r, U i) := by intro x hx let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx) refine ⟨U i, mem_nhdsWithin_of_mem_nhds ((hUo i).mem_nhds hi), {i}, by simp, ?_⟩ simp only [mem_singleton_iff, iUnion_iUnion_eq_left] exact Subset.refl _ exact hs.induction_on hmono hcountable_union h_nhds theorem IsLindelof.elim_nhds_subcover' (hs : IsLindelof s) (U : ∀ x ∈ s, Set X) (hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) : ∃ t : Set s, t.Countable ∧ s ⊆ ⋃ x ∈ t, U (x : s) x.2 := by have := hs.elim_countable_subcover (fun x : s ↦ interior (U x x.2)) (fun _ ↦ isOpen_interior) fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 <| hU _ _⟩ rcases this with ⟨r, ⟨hr, hs⟩⟩ use r, hr apply Subset.trans hs apply iUnion₂_subset intro i hi apply Subset.trans interior_subset exact subset_iUnion_of_subset i (subset_iUnion_of_subset hi (Subset.refl _)) theorem IsLindelof.elim_nhds_subcover (hs : IsLindelof s) (U : X → Set X) (hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x := by let ⟨t, ⟨htc, htsub⟩⟩ := hs.elim_nhds_subcover' (fun x _ ↦ U x) hU refine ⟨↑t, Countable.image htc Subtype.val, ?_⟩ constructor · intro _ simp only [mem_image, Subtype.exists, exists_and_right, exists_eq_right, forall_exists_index] tauto · have : ⋃ x ∈ t, U ↑x = ⋃ x ∈ Subtype.val '' t, U x := biUnion_image.symm rwa [← this] theorem IsLindelof.disjoint_nhdsSet_left {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint (𝓝ˢ s) l ↔ ∀ x ∈ s, Disjoint (𝓝 x) l := by refine ⟨fun h x hx ↦ h.mono_left <| nhds_le_nhdsSet hx, fun H ↦ ?_⟩ choose! U hxU hUl using fun x hx ↦ (nhds_basis_opens x).disjoint_iff_left.1 (H x hx) choose hxU hUo using hxU rcases hs.elim_nhds_subcover U fun x hx ↦ (hUo x hx).mem_nhds (hxU x hx) with ⟨t, htc, hts, hst⟩ refine (hasBasis_nhdsSet _).disjoint_iff_left.2 ⟨⋃ x ∈ t, U x, ⟨isOpen_biUnion fun x hx ↦ hUo x (hts x hx), hst⟩, ?_⟩ rw [compl_iUnion₂] exact (countable_bInter_mem htc).mpr (fun i hi ↦ hUl _ (hts _ hi))
Mathlib/Topology/Compactness/Lindelof.lean
197
199
theorem IsLindelof.disjoint_nhdsSet_right {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by
simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left
import Mathlib.Data.Set.Function import Mathlib.Logic.Relation import Mathlib.Logic.Pairwise #align_import data.set.pairwise.basic from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d" open Function Order Set variable {α β γ ι ι' : Type*} {r p q : α → α → Prop} section Pairwise variable {f g : ι → α} {s t u : Set α} {a b : α} theorem pairwise_on_bool (hr : Symmetric r) {a b : α} : Pairwise (r on fun c => cond c a b) ↔ r a b := by simpa [Pairwise, Function.onFun] using @hr a b #align pairwise_on_bool pairwise_on_bool theorem pairwise_disjoint_on_bool [SemilatticeInf α] [OrderBot α] {a b : α} : Pairwise (Disjoint on fun c => cond c a b) ↔ Disjoint a b := pairwise_on_bool Disjoint.symm #align pairwise_disjoint_on_bool pairwise_disjoint_on_bool theorem Symmetric.pairwise_on [LinearOrder ι] (hr : Symmetric r) (f : ι → α) : Pairwise (r on f) ↔ ∀ ⦃m n⦄, m < n → r (f m) (f n) := ⟨fun h _m _n hmn => h hmn.ne, fun h _m _n hmn => hmn.lt_or_lt.elim (@h _ _) fun h' => hr (h h')⟩ #align symmetric.pairwise_on Symmetric.pairwise_on theorem pairwise_disjoint_on [SemilatticeInf α] [OrderBot α] [LinearOrder ι] (f : ι → α) : Pairwise (Disjoint on f) ↔ ∀ ⦃m n⦄, m < n → Disjoint (f m) (f n) := Symmetric.pairwise_on Disjoint.symm f #align pairwise_disjoint_on pairwise_disjoint_on theorem pairwise_disjoint_mono [SemilatticeInf α] [OrderBot α] (hs : Pairwise (Disjoint on f)) (h : g ≤ f) : Pairwise (Disjoint on g) := hs.mono fun i j hij => Disjoint.mono (h i) (h j) hij #align pairwise_disjoint.mono pairwise_disjoint_mono namespace Set theorem Pairwise.mono (h : t ⊆ s) (hs : s.Pairwise r) : t.Pairwise r := fun _x xt _y yt => hs (h xt) (h yt) #align set.pairwise.mono Set.Pairwise.mono theorem Pairwise.mono' (H : r ≤ p) (hr : s.Pairwise r) : s.Pairwise p := hr.imp H #align set.pairwise.mono' Set.Pairwise.mono' theorem pairwise_top (s : Set α) : s.Pairwise ⊤ := pairwise_of_forall s _ fun _ _ => trivial #align set.pairwise_top Set.pairwise_top protected theorem Subsingleton.pairwise (h : s.Subsingleton) (r : α → α → Prop) : s.Pairwise r := fun _x hx _y hy hne => (hne (h hx hy)).elim #align set.subsingleton.pairwise Set.Subsingleton.pairwise @[simp] theorem pairwise_empty (r : α → α → Prop) : (∅ : Set α).Pairwise r := subsingleton_empty.pairwise r #align set.pairwise_empty Set.pairwise_empty @[simp] theorem pairwise_singleton (a : α) (r : α → α → Prop) : Set.Pairwise {a} r := subsingleton_singleton.pairwise r #align set.pairwise_singleton Set.pairwise_singleton theorem pairwise_iff_of_refl [IsRefl α r] : s.Pairwise r ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → r a b := forall₄_congr fun _ _ _ _ => or_iff_not_imp_left.symm.trans <| or_iff_right_of_imp of_eq #align set.pairwise_iff_of_refl Set.pairwise_iff_of_refl alias ⟨Pairwise.of_refl, _⟩ := pairwise_iff_of_refl #align set.pairwise.of_refl Set.Pairwise.of_refl theorem Nonempty.pairwise_iff_exists_forall [IsEquiv α r] {s : Set ι} (hs : s.Nonempty) : s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by constructor · rcases hs with ⟨y, hy⟩ refine fun H => ⟨f y, fun x hx => ?_⟩ rcases eq_or_ne x y with (rfl | hne) · apply IsRefl.refl · exact H hx hy hne · rintro ⟨z, hz⟩ x hx y hy _ exact @IsTrans.trans α r _ (f x) z (f y) (hz _ hx) (IsSymm.symm _ _ <| hz _ hy) #align set.nonempty.pairwise_iff_exists_forall Set.Nonempty.pairwise_iff_exists_forall theorem Nonempty.pairwise_eq_iff_exists_eq {s : Set α} (hs : s.Nonempty) {f : α → ι} : (s.Pairwise fun x y => f x = f y) ↔ ∃ z, ∀ x ∈ s, f x = z := hs.pairwise_iff_exists_forall #align set.nonempty.pairwise_eq_iff_exists_eq Set.Nonempty.pairwise_eq_iff_exists_eq theorem pairwise_iff_exists_forall [Nonempty ι] (s : Set α) (f : α → ι) {r : ι → ι → Prop} [IsEquiv ι r] : s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by rcases s.eq_empty_or_nonempty with (rfl | hne) · simp · exact hne.pairwise_iff_exists_forall #align set.pairwise_iff_exists_forall Set.pairwise_iff_exists_forall theorem pairwise_eq_iff_exists_eq [Nonempty ι] (s : Set α) (f : α → ι) : (s.Pairwise fun x y => f x = f y) ↔ ∃ z, ∀ x ∈ s, f x = z := pairwise_iff_exists_forall s f #align set.pairwise_eq_iff_exists_eq Set.pairwise_eq_iff_exists_eq theorem pairwise_union : (s ∪ t).Pairwise r ↔ s.Pairwise r ∧ t.Pairwise r ∧ ∀ a ∈ s, ∀ b ∈ t, a ≠ b → r a b ∧ r b a := by simp only [Set.Pairwise, mem_union, or_imp, forall_and] exact ⟨fun H => ⟨H.1.1, H.2.2, H.1.2, fun x hx y hy hne => H.2.1 y hy x hx hne.symm⟩, fun H => ⟨⟨H.1, H.2.2.1⟩, fun x hx y hy hne => H.2.2.2 y hy x hx hne.symm, H.2.1⟩⟩ #align set.pairwise_union Set.pairwise_union theorem pairwise_union_of_symmetric (hr : Symmetric r) : (s ∪ t).Pairwise r ↔ s.Pairwise r ∧ t.Pairwise r ∧ ∀ a ∈ s, ∀ b ∈ t, a ≠ b → r a b := pairwise_union.trans <| by simp only [hr.iff, and_self_iff] #align set.pairwise_union_of_symmetric Set.pairwise_union_of_symmetric theorem pairwise_insert : (insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, a ≠ b → r a b ∧ r b a := by simp only [insert_eq, pairwise_union, pairwise_singleton, true_and_iff, mem_singleton_iff, forall_eq] #align set.pairwise_insert Set.pairwise_insert theorem pairwise_insert_of_not_mem (ha : a ∉ s) : (insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, r a b ∧ r b a := pairwise_insert.trans <| and_congr_right' <| forall₂_congr fun b hb => by simp [(ne_of_mem_of_not_mem hb ha).symm] #align set.pairwise_insert_of_not_mem Set.pairwise_insert_of_not_mem protected theorem Pairwise.insert (hs : s.Pairwise r) (h : ∀ b ∈ s, a ≠ b → r a b ∧ r b a) : (insert a s).Pairwise r := pairwise_insert.2 ⟨hs, h⟩ #align set.pairwise.insert Set.Pairwise.insert theorem Pairwise.insert_of_not_mem (ha : a ∉ s) (hs : s.Pairwise r) (h : ∀ b ∈ s, r a b ∧ r b a) : (insert a s).Pairwise r := (pairwise_insert_of_not_mem ha).2 ⟨hs, h⟩ #align set.pairwise.insert_of_not_mem Set.Pairwise.insert_of_not_mem theorem pairwise_insert_of_symmetric (hr : Symmetric r) : (insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, a ≠ b → r a b := by simp only [pairwise_insert, hr.iff a, and_self_iff] #align set.pairwise_insert_of_symmetric Set.pairwise_insert_of_symmetric theorem pairwise_insert_of_symmetric_of_not_mem (hr : Symmetric r) (ha : a ∉ s) : (insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, r a b := by simp only [pairwise_insert_of_not_mem ha, hr.iff a, and_self_iff] #align set.pairwise_insert_of_symmetric_of_not_mem Set.pairwise_insert_of_symmetric_of_not_mem theorem Pairwise.insert_of_symmetric (hs : s.Pairwise r) (hr : Symmetric r) (h : ∀ b ∈ s, a ≠ b → r a b) : (insert a s).Pairwise r := (pairwise_insert_of_symmetric hr).2 ⟨hs, h⟩ #align set.pairwise.insert_of_symmetric Set.Pairwise.insert_of_symmetric theorem Pairwise.insert_of_symmetric_of_not_mem (hs : s.Pairwise r) (hr : Symmetric r) (ha : a ∉ s) (h : ∀ b ∈ s, r a b) : (insert a s).Pairwise r := (pairwise_insert_of_symmetric_of_not_mem hr ha).2 ⟨hs, h⟩ #align set.pairwise.insert_of_symmetric_of_not_mem Set.Pairwise.insert_of_symmetric_of_not_mem theorem pairwise_pair : Set.Pairwise {a, b} r ↔ a ≠ b → r a b ∧ r b a := by simp [pairwise_insert] #align set.pairwise_pair Set.pairwise_pair theorem pairwise_pair_of_symmetric (hr : Symmetric r) : Set.Pairwise {a, b} r ↔ a ≠ b → r a b := by simp [pairwise_insert_of_symmetric hr] #align set.pairwise_pair_of_symmetric Set.pairwise_pair_of_symmetric
Mathlib/Data/Set/Pairwise/Basic.lean
200
201
theorem pairwise_univ : (univ : Set α).Pairwise r ↔ Pairwise r := by
simp only [Set.Pairwise, Pairwise, mem_univ, forall_const]
import Mathlib.LinearAlgebra.Matrix.ToLin import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Maps import Mathlib.RingTheory.Nilpotent.Defs #align_import ring_theory.nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff" universe u v open Function Set variable {R S : Type*} {x y : R} theorem RingHom.ker_isRadical_iff_reduced_of_surjective {S F} [CommSemiring R] [CommRing S] [FunLike F R S] [RingHomClass F R S] {f : F} (hf : Function.Surjective f) : (RingHom.ker f).IsRadical ↔ IsReduced S := by simp_rw [isReduced_iff, hf.forall, IsNilpotent, ← map_pow, ← RingHom.mem_ker] rfl #align ring_hom.ker_is_radical_iff_reduced_of_surjective RingHom.ker_isRadical_iff_reduced_of_surjective
Mathlib/RingTheory/Nilpotent/Lemmas.lean
32
35
theorem isRadical_iff_span_singleton [CommSemiring R] : IsRadical y ↔ (Ideal.span ({y} : Set R)).IsRadical := by
simp_rw [IsRadical, ← Ideal.mem_span_singleton] exact forall_swap.trans (forall_congr' fun r => exists_imp.symm)
import Mathlib.Analysis.SpecialFunctions.Pow.Complex import Qq #align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" noncomputable section open scoped Classical open Real ComplexConjugate open Finset Set namespace Real variable {x y z : ℝ} noncomputable def rpow (x y : ℝ) := ((x : ℂ) ^ (y : ℂ)).re #align real.rpow Real.rpow noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩ @[simp] theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl #align real.rpow_eq_pow Real.rpow_eq_pow theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl #align real.rpow_def Real.rpow_def theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by simp only [rpow_def, Complex.cpow_def]; split_ifs <;> simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul, (Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero] #align real.rpow_def_of_nonneg Real.rpow_def_of_nonneg
Mathlib/Analysis/SpecialFunctions/Pow/Real.lean
56
57
theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by
rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)]
import Mathlib.Analysis.BoxIntegral.Partition.Split import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.box_integral.partition.additive from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section open scoped Classical open Function Set namespace BoxIntegral variable {ι M : Type*} {n : ℕ} structure BoxAdditiveMap (ι M : Type*) [AddCommMonoid M] (I : WithTop (Box ι)) where toFun : Box ι → M sum_partition_boxes' : ∀ J : Box ι, ↑J ≤ I → ∀ π : Prepartition J, π.IsPartition → ∑ Ji ∈ π.boxes, toFun Ji = toFun J #align box_integral.box_additive_map BoxIntegral.BoxAdditiveMap scoped notation:25 ι " →ᵇᵃ " M => BoxIntegral.BoxAdditiveMap ι M ⊤ @[inherit_doc] scoped notation:25 ι " →ᵇᵃ[" I "] " M => BoxIntegral.BoxAdditiveMap ι M I namespace BoxAdditiveMap open Box Prepartition Finset variable {N : Type*} [AddCommMonoid M] [AddCommMonoid N] {I₀ : WithTop (Box ι)} {I J : Box ι} {i : ι} instance : FunLike (ι →ᵇᵃ[I₀] M) (Box ι) M where coe := toFun coe_injective' f g h := by cases f; cases g; congr initialize_simps_projections BoxIntegral.BoxAdditiveMap (toFun → apply) #noalign box_integral.box_additive_map.to_fun_eq_coe @[simp] theorem coe_mk (f h) : ⇑(mk f h : ι →ᵇᵃ[I₀] M) = f := rfl #align box_integral.box_additive_map.coe_mk BoxIntegral.BoxAdditiveMap.coe_mk theorem coe_injective : Injective fun (f : ι →ᵇᵃ[I₀] M) x => f x := DFunLike.coe_injective #align box_integral.box_additive_map.coe_injective BoxIntegral.BoxAdditiveMap.coe_injective -- Porting note (#10618): was @[simp], now can be proved by `simp` theorem coe_inj {f g : ι →ᵇᵃ[I₀] M} : (f : Box ι → M) = g ↔ f = g := DFunLike.coe_fn_eq #align box_integral.box_additive_map.coe_inj BoxIntegral.BoxAdditiveMap.coe_inj theorem sum_partition_boxes (f : ι →ᵇᵃ[I₀] M) (hI : ↑I ≤ I₀) {π : Prepartition I} (h : π.IsPartition) : ∑ J ∈ π.boxes, f J = f I := f.sum_partition_boxes' I hI π h #align box_integral.box_additive_map.sum_partition_boxes BoxIntegral.BoxAdditiveMap.sum_partition_boxes @[simps (config := .asFn)] instance : Zero (ι →ᵇᵃ[I₀] M) := ⟨⟨0, fun _ _ _ _ => sum_const_zero⟩⟩ instance : Inhabited (ι →ᵇᵃ[I₀] M) := ⟨0⟩ instance : Add (ι →ᵇᵃ[I₀] M) := ⟨fun f g => ⟨f + g, fun I hI π hπ => by simp only [Pi.add_apply, sum_add_distrib, sum_partition_boxes _ hI hπ]⟩⟩ instance {R} [Monoid R] [DistribMulAction R M] : SMul R (ι →ᵇᵃ[I₀] M) := ⟨fun r f => ⟨r • (f : Box ι → M), fun I hI π hπ => by simp only [Pi.smul_apply, ← smul_sum, sum_partition_boxes _ hI hπ]⟩⟩ instance : AddCommMonoid (ι →ᵇᵃ[I₀] M) := Function.Injective.addCommMonoid _ coe_injective rfl (fun _ _ => rfl) fun _ _ => rfl @[simp]
Mathlib/Analysis/BoxIntegral/Partition/Additive.lean
113
115
theorem map_split_add (f : ι →ᵇᵃ[I₀] M) (hI : ↑I ≤ I₀) (i : ι) (x : ℝ) : (I.splitLower i x).elim' 0 f + (I.splitUpper i x).elim' 0 f = f I := by
rw [← f.sum_partition_boxes hI (isPartitionSplit I i x), sum_split_boxes]
import Mathlib.CategoryTheory.Monad.Types import Mathlib.CategoryTheory.Monad.Limits import Mathlib.CategoryTheory.Equivalence import Mathlib.Topology.Category.CompHaus.Basic import Mathlib.Topology.Category.Profinite.Basic import Mathlib.Data.Set.Constructions #align_import topology.category.Compactum from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" -- Porting note: "Compactum" is already upper case set_option linter.uppercaseLean3 false universe u open CategoryTheory Filter Ultrafilter TopologicalSpace CategoryTheory.Limits FiniteInter open scoped Classical open Topology local notation "β" => ofTypeMonad Ultrafilter def Compactum := Monad.Algebra β deriving Category, Inhabited #align Compactum Compactum namespace Compactum def forget : Compactum ⥤ Type* := Monad.forget _ --deriving CreatesLimits, Faithful -- Porting note: deriving fails, adding manually. Note `CreatesLimits` now noncomputable #align Compactum.forget Compactum.forget instance : forget.Faithful := show (Monad.forget _).Faithful from inferInstance noncomputable instance : CreatesLimits forget := show CreatesLimits <| Monad.forget _ from inferInstance def free : Type* ⥤ Compactum := Monad.free _ #align Compactum.free Compactum.free def adj : free ⊣ forget := Monad.adj _ #align Compactum.adj Compactum.adj -- Basic instances instance : ConcreteCategory Compactum where forget := forget -- Porting note: changed from forget to X.A instance : CoeSort Compactum Type* := ⟨fun X => X.A⟩ instance {X Y : Compactum} : CoeFun (X ⟶ Y) fun _ => X → Y := ⟨fun f => f.f⟩ instance : HasLimits Compactum := hasLimits_of_hasLimits_createsLimits forget def str (X : Compactum) : Ultrafilter X → X := X.a #align Compactum.str Compactum.str def join (X : Compactum) : Ultrafilter (Ultrafilter X) → Ultrafilter X := (β ).μ.app _ #align Compactum.join Compactum.join def incl (X : Compactum) : X → Ultrafilter X := (β ).η.app _ #align Compactum.incl Compactum.incl @[simp] theorem str_incl (X : Compactum) (x : X) : X.str (X.incl x) = x := by change ((β ).η.app _ ≫ X.a) _ = _ rw [Monad.Algebra.unit] rfl #align Compactum.str_incl Compactum.str_incl @[simp] theorem str_hom_commute (X Y : Compactum) (f : X ⟶ Y) (xs : Ultrafilter X) : f (X.str xs) = Y.str (map f xs) := by change (X.a ≫ f.f) _ = _ rw [← f.h] rfl #align Compactum.str_hom_commute Compactum.str_hom_commute @[simp] theorem join_distrib (X : Compactum) (uux : Ultrafilter (Ultrafilter X)) : X.str (X.join uux) = X.str (map X.str uux) := by change ((β ).μ.app _ ≫ X.a) _ = _ rw [Monad.Algebra.assoc] rfl #align Compactum.join_distrib Compactum.join_distrib -- Porting note: changes to X.A from X since Lean can't see through X to X.A below instance {X : Compactum} : TopologicalSpace X.A where IsOpen U := ∀ F : Ultrafilter X, X.str F ∈ U → U ∈ F isOpen_univ _ _ := Filter.univ_sets _ isOpen_inter _ _ h3 h4 _ h6 := Filter.inter_sets _ (h3 _ h6.1) (h4 _ h6.2) isOpen_sUnion := fun _ h1 _ ⟨T, hT, h2⟩ => mem_of_superset (h1 T hT _ h2) (Set.subset_sUnion_of_mem hT) theorem isClosed_iff {X : Compactum} (S : Set X) : IsClosed S ↔ ∀ F : Ultrafilter X, S ∈ F → X.str F ∈ S := by rw [← isOpen_compl_iff] constructor · intro cond F h by_contra c specialize cond F c rw [compl_mem_iff_not_mem] at cond contradiction · intro h1 F h2 specialize h1 F cases' F.mem_or_compl_mem S with h h exacts [absurd (h1 h) h2, h] #align Compactum.is_closed_iff Compactum.isClosed_iff instance {X : Compactum} : CompactSpace X := by constructor rw [isCompact_iff_ultrafilter_le_nhds] intro F _ refine ⟨X.str F, by tauto, ?_⟩ rw [le_nhds_iff] intro S h1 h2 exact h2 F h1 private def basic {X : Compactum} (A : Set X) : Set (Ultrafilter X) := { F | A ∈ F } private def cl {X : Compactum} (A : Set X) : Set X := X.str '' basic A private theorem basic_inter {X : Compactum} (A B : Set X) : basic (A ∩ B) = basic A ∩ basic B := by ext G constructor · intro hG constructor <;> filter_upwards [hG] with _ exacts [And.left, And.right] · rintro ⟨h1, h2⟩ exact inter_mem h1 h2 private theorem subset_cl {X : Compactum} (A : Set X) : A ⊆ cl A := fun a ha => ⟨X.incl a, ha, by simp⟩ private theorem cl_cl {X : Compactum} (A : Set X) : cl (cl A) ⊆ cl A := by rintro _ ⟨F, hF, rfl⟩ -- Notation to be used in this proof. let fsu := Finset (Set (Ultrafilter X)) let ssu := Set (Set (Ultrafilter X)) let ι : fsu → ssu := fun x ↦ ↑x let C0 : ssu := { Z | ∃ B ∈ F, X.str ⁻¹' B = Z } let AA := { G : Ultrafilter X | A ∈ G } let C1 := insert AA C0 let C2 := finiteInterClosure C1 -- C0 is closed under intersections. have claim1 : ∀ (B) (_ : B ∈ C0) (C) (_ : C ∈ C0), B ∩ C ∈ C0 := by rintro B ⟨Q, hQ, rfl⟩ C ⟨R, hR, rfl⟩ use Q ∩ R simp only [and_true_iff, eq_self_iff_true, Set.preimage_inter] exact inter_sets _ hQ hR -- All sets in C0 are nonempty. have claim2 : ∀ B ∈ C0, Set.Nonempty B := by rintro B ⟨Q, hQ, rfl⟩ obtain ⟨q⟩ := Filter.nonempty_of_mem hQ use X.incl q simpa -- The intersection of AA with every set in C0 is nonempty. have claim3 : ∀ B ∈ C0, (AA ∩ B).Nonempty := by rintro B ⟨Q, hQ, rfl⟩ have : (Q ∩ cl A).Nonempty := Filter.nonempty_of_mem (inter_mem hQ hF) rcases this with ⟨q, hq1, P, hq2, hq3⟩ refine ⟨P, hq2, ?_⟩ rw [← hq3] at hq1 simpa -- Suffices to show that the intersection of any finite subcollection of C1 is nonempty. suffices ∀ T : fsu, ι T ⊆ C1 → (⋂₀ ι T).Nonempty by obtain ⟨G, h1⟩ := exists_ultrafilter_of_finite_inter_nonempty _ this use X.join G have : G.map X.str = F := Ultrafilter.coe_le_coe.1 fun S hS => h1 (Or.inr ⟨S, hS, rfl⟩) rw [join_distrib, this] exact ⟨h1 (Or.inl rfl), rfl⟩ -- C2 is closed under finite intersections (by construction!). have claim4 := finiteInterClosure_finiteInter C1 -- C0 is closed under finite intersections by claim1. have claim5 : FiniteInter C0 := ⟨⟨_, univ_mem, Set.preimage_univ⟩, claim1⟩ -- Every element of C2 is nonempty. have claim6 : ∀ P ∈ C2, (P : Set (Ultrafilter X)).Nonempty := by suffices ∀ P ∈ C2, P ∈ C0 ∨ ∃ Q ∈ C0, P = AA ∩ Q by intro P hP cases' this P hP with h h · exact claim2 _ h · rcases h with ⟨Q, hQ, rfl⟩ exact claim3 _ hQ intro P hP exact claim5.finiteInterClosure_insert _ hP intro T hT -- Suffices to show that the intersection of the T's is contained in C2. suffices ⋂₀ ι T ∈ C2 by exact claim6 _ this -- Finish apply claim4.finiteInter_mem T intro t ht exact finiteInterClosure.basic (@hT t ht)
Mathlib/Topology/Category/Compactum.lean
276
279
theorem isClosed_cl {X : Compactum} (A : Set X) : IsClosed (cl A) := by
rw [isClosed_iff] intro F hF exact cl_cl _ ⟨F, hF, rfl⟩
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Star.Pi #align_import algebra.star.self_adjoint from "leanprover-community/mathlib"@"a6ece35404f60597c651689c1b46ead86de5ac1b" open Function variable {R A : Type*} def IsSelfAdjoint [Star R] (x : R) : Prop := star x = x #align is_self_adjoint IsSelfAdjoint @[mk_iff] class IsStarNormal [Mul R] [Star R] (x : R) : Prop where star_comm_self : Commute (star x) x #align is_star_normal IsStarNormal export IsStarNormal (star_comm_self) theorem star_comm_self' [Mul R] [Star R] (x : R) [IsStarNormal x] : star x * x = x * star x := IsStarNormal.star_comm_self #align star_comm_self' star_comm_self' namespace IsSelfAdjoint -- named to match `Commute.allₓ` theorem all [Star R] [TrivialStar R] (r : R) : IsSelfAdjoint r := star_trivial _ #align is_self_adjoint.all IsSelfAdjoint.all theorem star_eq [Star R] {x : R} (hx : IsSelfAdjoint x) : star x = x := hx #align is_self_adjoint.star_eq IsSelfAdjoint.star_eq theorem _root_.isSelfAdjoint_iff [Star R] {x : R} : IsSelfAdjoint x ↔ star x = x := Iff.rfl #align is_self_adjoint_iff isSelfAdjoint_iff @[simp] theorem star_iff [InvolutiveStar R] {x : R} : IsSelfAdjoint (star x) ↔ IsSelfAdjoint x := by simpa only [IsSelfAdjoint, star_star] using eq_comm #align is_self_adjoint.star_iff IsSelfAdjoint.star_iff @[simp] theorem star_mul_self [Mul R] [StarMul R] (x : R) : IsSelfAdjoint (star x * x) := by simp only [IsSelfAdjoint, star_mul, star_star] #align is_self_adjoint.star_mul_self IsSelfAdjoint.star_mul_self @[simp] theorem mul_star_self [Mul R] [StarMul R] (x : R) : IsSelfAdjoint (x * star x) := by simpa only [star_star] using star_mul_self (star x) #align is_self_adjoint.mul_star_self IsSelfAdjoint.mul_star_self lemma commute_iff {R : Type*} [Mul R] [StarMul R] {x y : R} (hx : IsSelfAdjoint x) (hy : IsSelfAdjoint y) : Commute x y ↔ IsSelfAdjoint (x * y) := by refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · rw [isSelfAdjoint_iff, star_mul, hx.star_eq, hy.star_eq, h.eq] · simpa only [star_mul, hx.star_eq, hy.star_eq] using h.symm theorem starHom_apply {F R S : Type*} [Star R] [Star S] [FunLike F R S] [StarHomClass F R S] {x : R} (hx : IsSelfAdjoint x) (f : F) : IsSelfAdjoint (f x) := show star (f x) = f x from map_star f x ▸ congr_arg f hx #align is_self_adjoint.star_hom_apply IsSelfAdjoint.starHom_apply theorem _root_.isSelfAdjoint_starHom_apply {F R S : Type*} [Star R] [Star S] [FunLike F R S] [StarHomClass F R S] [TrivialStar R] (f : F) (x : R) : IsSelfAdjoint (f x) := (IsSelfAdjoint.all x).starHom_apply f section DivisionSemiring variable [DivisionSemiring R] [StarRing R] theorem inv {x : R} (hx : IsSelfAdjoint x) : IsSelfAdjoint x⁻¹ := by simp only [isSelfAdjoint_iff, star_inv', hx.star_eq] #align is_self_adjoint.inv IsSelfAdjoint.inv
Mathlib/Algebra/Star/SelfAdjoint.lean
258
259
theorem zpow {x : R} (hx : IsSelfAdjoint x) (n : ℤ) : IsSelfAdjoint (x ^ n) := by
simp only [isSelfAdjoint_iff, star_zpow₀, hx.star_eq]
import Mathlib.SetTheory.Ordinal.FixedPoint #align_import set_theory.ordinal.principal from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7" universe u v w noncomputable section open Order namespace Ordinal -- Porting note: commented out, doesn't seem necessary --local infixr:0 "^" => @pow Ordinal Ordinal Ordinal.hasPow def Principal (op : Ordinal → Ordinal → Ordinal) (o : Ordinal) : Prop := ∀ ⦃a b⦄, a < o → b < o → op a b < o #align ordinal.principal Ordinal.Principal theorem principal_iff_principal_swap {op : Ordinal → Ordinal → Ordinal} {o : Ordinal} : Principal op o ↔ Principal (Function.swap op) o := by constructor <;> exact fun h a b ha hb => h hb ha #align ordinal.principal_iff_principal_swap Ordinal.principal_iff_principal_swap theorem principal_zero {op : Ordinal → Ordinal → Ordinal} : Principal op 0 := fun a _ h => (Ordinal.not_lt_zero a h).elim #align ordinal.principal_zero Ordinal.principal_zero @[simp] theorem principal_one_iff {op : Ordinal → Ordinal → Ordinal} : Principal op 1 ↔ op 0 0 = 0 := by refine ⟨fun h => ?_, fun h a b ha hb => ?_⟩ · rw [← lt_one_iff_zero] exact h zero_lt_one zero_lt_one · rwa [lt_one_iff_zero, ha, hb] at * #align ordinal.principal_one_iff Ordinal.principal_one_iff theorem Principal.iterate_lt {op : Ordinal → Ordinal → Ordinal} {a o : Ordinal} (hao : a < o) (ho : Principal op o) (n : ℕ) : (op a)^[n] a < o := by induction' n with n hn · rwa [Function.iterate_zero] · rw [Function.iterate_succ'] exact ho hao hn #align ordinal.principal.iterate_lt Ordinal.Principal.iterate_lt
Mathlib/SetTheory/Ordinal/Principal.lean
77
81
theorem op_eq_self_of_principal {op : Ordinal → Ordinal → Ordinal} {a o : Ordinal.{u}} (hao : a < o) (H : IsNormal (op a)) (ho : Principal op o) (ho' : IsLimit o) : op a o = o := by
refine le_antisymm ?_ (H.self_le _) rw [← IsNormal.bsup_eq.{u, u} H ho', bsup_le_iff] exact fun b hbo => (ho hao hbo).le
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _ #align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a => f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹ #align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} : f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top] #align ennreal.fun_eq_fun_mul_inv_snorm_mul_snorm ENNReal.fun_eq_funMulInvSnorm_mul_snorm theorem funMulInvSnorm_rpow {p : ℝ} (hp0 : 0 < p) {f : α → ℝ≥0∞} {a : α} : funMulInvSnorm f p μ a ^ p = f a ^ p * (∫⁻ c, f c ^ p ∂μ)⁻¹ := by rw [funMulInvSnorm, mul_rpow_of_nonneg _ _ (le_of_lt hp0)] suffices h_inv_rpow : ((∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p))⁻¹ ^ p = (∫⁻ c : α, f c ^ p ∂μ)⁻¹ by rw [h_inv_rpow] rw [inv_rpow, ← rpow_mul, one_div_mul_cancel hp0.ne', rpow_one] #align ennreal.fun_mul_inv_snorm_rpow ENNReal.funMulInvSnorm_rpow theorem lintegral_rpow_funMulInvSnorm_eq_one {p : ℝ} (hp0_lt : 0 < p) {f : α → ℝ≥0∞} (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) : ∫⁻ c, funMulInvSnorm f p μ c ^ p ∂μ = 1 := by simp_rw [funMulInvSnorm_rpow hp0_lt] rw [lintegral_mul_const', ENNReal.mul_inv_cancel hf_nonzero hf_top] rwa [inv_ne_top] #align ennreal.lintegral_rpow_fun_mul_inv_snorm_eq_one ENNReal.lintegral_rpow_funMulInvSnorm_eq_one theorem lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_nontop : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) (hg_nontop : (∫⁻ a, g a ^ q ∂μ) ≠ ⊤) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hg_nonzero : (∫⁻ a, g a ^ q ∂μ) ≠ 0) : (∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by let npf := (∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p) let nqg := (∫⁻ c : α, g c ^ q ∂μ) ^ (1 / q) calc (∫⁻ a : α, (f * g) a ∂μ) = ∫⁻ a : α, (funMulInvSnorm f p μ * funMulInvSnorm g q μ) a * (npf * nqg) ∂μ := by refine lintegral_congr fun a => ?_ rw [Pi.mul_apply, fun_eq_funMulInvSnorm_mul_snorm f hf_nonzero hf_nontop, fun_eq_funMulInvSnorm_mul_snorm g hg_nonzero hg_nontop, Pi.mul_apply] ring _ ≤ npf * nqg := by rw [lintegral_mul_const' (npf * nqg) _ (by simp [npf, nqg, hf_nontop, hg_nontop, hf_nonzero, hg_nonzero, ENNReal.mul_eq_top])] refine mul_le_of_le_one_left' ?_ have hf1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.pos hf_nonzero hf_nontop have hg1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.symm.pos hg_nonzero hg_nontop exact lintegral_mul_le_one_of_lintegral_rpow_eq_one hpq (hf.mul_const _) hf1 hg1 #align ennreal.lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top ENNReal.lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top theorem ae_eq_zero_of_lintegral_rpow_eq_zero {p : ℝ} (hp0 : 0 ≤ p) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_zero : ∫⁻ a, f a ^ p ∂μ = 0) : f =ᵐ[μ] 0 := by rw [lintegral_eq_zero_iff' (hf.pow_const p)] at hf_zero filter_upwards [hf_zero] with x rw [Pi.zero_apply, ← not_imp_not] exact fun hx => (rpow_pos_of_nonneg (pos_iff_ne_zero.2 hx) hp0).ne' #align ennreal.ae_eq_zero_of_lintegral_rpow_eq_zero ENNReal.ae_eq_zero_of_lintegral_rpow_eq_zero theorem lintegral_mul_eq_zero_of_lintegral_rpow_eq_zero {p : ℝ} (hp0 : 0 ≤ p) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_zero : ∫⁻ a, f a ^ p ∂μ = 0) : (∫⁻ a, (f * g) a ∂μ) = 0 := by rw [← @lintegral_zero_fun α _ μ] refine lintegral_congr_ae ?_ suffices h_mul_zero : f * g =ᵐ[μ] 0 * g by rwa [zero_mul] at h_mul_zero have hf_eq_zero : f =ᵐ[μ] 0 := ae_eq_zero_of_lintegral_rpow_eq_zero hp0 hf hf_zero exact hf_eq_zero.mul (ae_eq_refl g) #align ennreal.lintegral_mul_eq_zero_of_lintegral_rpow_eq_zero ENNReal.lintegral_mul_eq_zero_of_lintegral_rpow_eq_zero
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
150
156
theorem lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_eq_top {p q : ℝ} (hp0_lt : 0 < p) (hq0 : 0 ≤ q) {f g : α → ℝ≥0∞} (hf_top : ∫⁻ a, f a ^ p ∂μ = ⊤) (hg_nonzero : (∫⁻ a, g a ^ q ∂μ) ≠ 0) : (∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by
refine le_trans le_top (le_of_eq ?_) have hp0_inv_lt : 0 < 1 / p := by simp [hp0_lt] rw [hf_top, ENNReal.top_rpow_of_pos hp0_inv_lt] simp [hq0, hg_nonzero]
import Mathlib.Topology.Basic #align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Topology variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X} {s t s₁ s₂ t₁ t₂ : Set X} {x : X} theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] : 𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by rw [nhdsSet, ← range_diag, ← range_comp] rfl #align nhds_set_diagonal nhdsSet_diagonal theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image] #align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet] theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s := mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <| subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s` #align bUnion_mem_nhds_set bUnion_mem_nhdsSet theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds] #align subset_interior_iff_mem_nhds_set subset_interior_iff_mem_nhdsSet theorem disjoint_principal_nhdsSet : Disjoint (𝓟 s) (𝓝ˢ t) ↔ Disjoint (closure s) t := by rw [disjoint_principal_left, ← subset_interior_iff_mem_nhdsSet, interior_compl, subset_compl_iff_disjoint_left] theorem disjoint_nhdsSet_principal : Disjoint (𝓝ˢ s) (𝓟 t) ↔ Disjoint s (closure t) := by rw [disjoint_comm, disjoint_principal_nhdsSet, disjoint_comm] theorem mem_nhdsSet_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : Set X, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := by rw [← subset_interior_iff_mem_nhdsSet, subset_interior_iff] #align mem_nhds_set_iff_exists mem_nhdsSet_iff_exists theorem eventually_nhdsSet_iff_exists {p : X → Prop} : (∀ᶠ x in 𝓝ˢ s, p x) ↔ ∃ t, IsOpen t ∧ s ⊆ t ∧ ∀ x, x ∈ t → p x := mem_nhdsSet_iff_exists theorem eventually_nhdsSet_iff_forall {p : X → Prop} : (∀ᶠ x in 𝓝ˢ s, p x) ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, p y := mem_nhdsSet_iff_forall theorem hasBasis_nhdsSet (s : Set X) : (𝓝ˢ s).HasBasis (fun U => IsOpen U ∧ s ⊆ U) fun U => U := ⟨fun t => by simp [mem_nhdsSet_iff_exists, and_assoc]⟩ #align has_basis_nhds_set hasBasis_nhdsSet @[simp] lemma lift'_nhdsSet_interior (s : Set X) : (𝓝ˢ s).lift' interior = 𝓝ˢ s := (hasBasis_nhdsSet s).lift'_interior_eq_self fun _ ↦ And.left lemma Filter.HasBasis.nhdsSet_interior {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {t : Set X} (h : (𝓝ˢ t).HasBasis p s) : (𝓝ˢ t).HasBasis p (interior <| s ·) := lift'_nhdsSet_interior t ▸ h.lift'_interior theorem IsOpen.mem_nhdsSet (hU : IsOpen s) : s ∈ 𝓝ˢ t ↔ t ⊆ s := by rw [← subset_interior_iff_mem_nhdsSet, hU.interior_eq] #align is_open.mem_nhds_set IsOpen.mem_nhdsSet theorem IsOpen.mem_nhdsSet_self (ho : IsOpen s) : s ∈ 𝓝ˢ s := ho.mem_nhdsSet.mpr Subset.rfl theorem principal_le_nhdsSet : 𝓟 s ≤ 𝓝ˢ s := fun _s hs => (subset_interior_iff_mem_nhdsSet.mpr hs).trans interior_subset #align principal_le_nhds_set principal_le_nhdsSet theorem subset_of_mem_nhdsSet (h : t ∈ 𝓝ˢ s) : s ⊆ t := principal_le_nhdsSet h theorem Filter.Eventually.self_of_nhdsSet {p : X → Prop} (h : ∀ᶠ x in 𝓝ˢ s, p x) : ∀ x ∈ s, p x := principal_le_nhdsSet h nonrec theorem Filter.EventuallyEq.self_of_nhdsSet {f g : X → Y} (h : f =ᶠ[𝓝ˢ s] g) : EqOn f g s := h.self_of_nhdsSet @[simp] theorem nhdsSet_eq_principal_iff : 𝓝ˢ s = 𝓟 s ↔ IsOpen s := by rw [← principal_le_nhdsSet.le_iff_eq, le_principal_iff, mem_nhdsSet_iff_forall, isOpen_iff_mem_nhds] #align nhds_set_eq_principal_iff nhdsSet_eq_principal_iff alias ⟨_, IsOpen.nhdsSet_eq⟩ := nhdsSet_eq_principal_iff #align is_open.nhds_set_eq IsOpen.nhdsSet_eq @[simp] theorem nhdsSet_interior : 𝓝ˢ (interior s) = 𝓟 (interior s) := isOpen_interior.nhdsSet_eq #align nhds_set_interior nhdsSet_interior @[simp] theorem nhdsSet_singleton : 𝓝ˢ {x} = 𝓝 x := by simp [nhdsSet] #align nhds_set_singleton nhdsSet_singleton theorem mem_nhdsSet_interior : s ∈ 𝓝ˢ (interior s) := subset_interior_iff_mem_nhdsSet.mp Subset.rfl #align mem_nhds_set_interior mem_nhdsSet_interior @[simp] theorem nhdsSet_empty : 𝓝ˢ (∅ : Set X) = ⊥ := by rw [isOpen_empty.nhdsSet_eq, principal_empty] #align nhds_set_empty nhdsSet_empty theorem mem_nhdsSet_empty : s ∈ 𝓝ˢ (∅ : Set X) := by simp #align mem_nhds_set_empty mem_nhdsSet_empty @[simp] theorem nhdsSet_univ : 𝓝ˢ (univ : Set X) = ⊤ := by rw [isOpen_univ.nhdsSet_eq, principal_univ] #align nhds_set_univ nhdsSet_univ @[mono] theorem nhdsSet_mono (h : s ⊆ t) : 𝓝ˢ s ≤ 𝓝ˢ t := sSup_le_sSup <| image_subset _ h #align nhds_set_mono nhdsSet_mono theorem monotone_nhdsSet : Monotone (𝓝ˢ : Set X → Filter X) := fun _ _ => nhdsSet_mono #align monotone_nhds_set monotone_nhdsSet theorem nhds_le_nhdsSet (h : x ∈ s) : 𝓝 x ≤ 𝓝ˢ s := le_sSup <| mem_image_of_mem _ h #align nhds_le_nhds_set nhds_le_nhdsSet @[simp] theorem nhdsSet_union (s t : Set X) : 𝓝ˢ (s ∪ t) = 𝓝ˢ s ⊔ 𝓝ˢ t := by simp only [nhdsSet, image_union, sSup_union] #align nhds_set_union nhdsSet_union theorem union_mem_nhdsSet (h₁ : s₁ ∈ 𝓝ˢ t₁) (h₂ : s₂ ∈ 𝓝ˢ t₂) : s₁ ∪ s₂ ∈ 𝓝ˢ (t₁ ∪ t₂) := by rw [nhdsSet_union] exact union_mem_sup h₁ h₂ #align union_mem_nhds_set union_mem_nhdsSet @[simp]
Mathlib/Topology/NhdsSet.lean
165
166
theorem nhdsSet_insert (x : X) (s : Set X) : 𝓝ˢ (insert x s) = 𝓝 x ⊔ 𝓝ˢ s := by
rw [insert_eq, nhdsSet_union, nhdsSet_singleton]
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.Measure.Count import Mathlib.Topology.IndicatorConstPointwise import Mathlib.MeasureTheory.Constructions.BorelSpace.Real #align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" assert_not_exists NormedSpace set_option autoImplicit true noncomputable section open Set hiding restrict restrict_apply open Filter ENNReal open Function (support) open scoped Classical open Topology NNReal ENNReal MeasureTheory namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc variable {α β γ δ : Type*} section Lintegral open SimpleFunc variable {m : MeasurableSpace α} {μ ν : Measure α} irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ := ⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ #align measure_theory.lintegral MeasureTheory.lintegral @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = f.lintegral μ := by rw [MeasureTheory.lintegral] exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl) (le_iSup₂_of_le f le_rfl le_rfl) #align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral @[mono] theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by rw [lintegral, lintegral] exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩ #align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono' -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) : lintegral μ f ≤ lintegral ν g := lintegral_mono' h2 hfg theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono' (le_refl μ) hfg #align measure_theory.lintegral_mono MeasureTheory.lintegral_mono -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) : lintegral μ f ≤ lintegral μ g := lintegral_mono hfg theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a) #align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) : ⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by apply le_antisymm · exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i · rw [lintegral] refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_ exact le_of_eq (i.lintegral_eq_lintegral _).symm #align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞} (hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ := lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f) #align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞} (hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ := lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f) #align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set' theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) := lintegral_mono #align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral @[simp] theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const] rfl #align measure_theory.lintegral_const MeasureTheory.lintegral_const theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp #align measure_theory.lintegral_zero MeasureTheory.lintegral_zero theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 := lintegral_zero #align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun -- @[simp] -- Porting note (#10618): simp can prove this theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul] #align measure_theory.lintegral_one MeasureTheory.lintegral_one theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by rw [lintegral_const, Measure.restrict_apply_univ] #align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul] #align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _ in s, c ∂μ < ∞ := by rw [lintegral_const] exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ) #align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc #align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top section variable (μ) theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) : ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀ · exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩ rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩ have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by intro n simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using (hLf n).2 choose g hgm hgf hLg using this refine ⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩ · refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_ exact le_iSup (fun n => g n x) n · exact lintegral_mono fun x => iSup_le fun n => hgf n x #align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq end theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = ⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by rw [lintegral] refine le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩) by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞ · let ψ := φ.map ENNReal.toNNReal replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x) exact le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h)) · have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_) obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb) use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞}) simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const, ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast, restrict_const_lintegral] refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩ simp only [mem_preimage, mem_singleton_iff] at hx simp only [hx, le_top] #align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ φ : α →ₛ ℝ≥0, (∀ x, ↑(φ x) ≤ f x) ∧ ∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by rw [lintegral_eq_nnreal] at h have := ENNReal.lt_add_right h hε erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩] simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩ refine ⟨φ, hle, fun ψ hψ => ?_⟩ have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle) rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add] refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ norm_cast simp only [add_apply, sub_apply, add_tsub_eq_max] rfl #align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) : ⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by simp only [← iSup_apply] exact (monotone_lintegral μ).le_map_iSup #align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) : ⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by convert (monotone_lintegral μ).le_map_iSup₂ f with a simp only [iSup_apply] #align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) : ∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by simp only [← iInf_apply] exact (monotone_lintegral μ).map_iInf_le #align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) : ∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by convert (monotone_lintegral μ).map_iInf₂_le f with a simp only [iInf_apply] #align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩ have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0 rw [lintegral, lintegral] refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_ · intro a by_cases h : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true, indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem] exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg)) · refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_) by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true, not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem] exact (hnt hat).elim #align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg #align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) (hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := set_lintegral_mono_ae hf hg (ae_of_all _ hfg) #align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s) (hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := set_lintegral_mono_ae' hs (ae_of_all _ hfg) theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ := lintegral_mono' Measure.restrict_le_self le_rfl theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le) #align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae
Mathlib/MeasureTheory/Integral/Lebesgue.lean
309
310
theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
simp only [h]
import Mathlib.Logic.Function.Basic import Mathlib.Tactic.MkIffOfInductiveProp #align_import data.sum.basic from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc" universe u v w x variable {α : Type u} {α' : Type w} {β : Type v} {β' : Type x} {γ δ : Type*} namespace Sum #align sum.forall Sum.forall #align sum.exists Sum.exists theorem exists_sum {γ : α ⊕ β → Sort*} (p : (∀ ab, γ ab) → Prop) : (∃ fab, p fab) ↔ (∃ fa fb, p (Sum.rec fa fb)) := by rw [← not_forall_not, forall_sum] simp theorem inl_injective : Function.Injective (inl : α → Sum α β) := fun _ _ ↦ inl.inj #align sum.inl_injective Sum.inl_injective theorem inr_injective : Function.Injective (inr : β → Sum α β) := fun _ _ ↦ inr.inj #align sum.inr_injective Sum.inr_injective theorem sum_rec_congr (P : α ⊕ β → Sort*) (f : ∀ i, P (inl i)) (g : ∀ i, P (inr i)) {x y : α ⊕ β} (h : x = y) : @Sum.rec _ _ _ f g x = cast (congr_arg P h.symm) (@Sum.rec _ _ _ f g y) := by cases h; rfl #align sum.inl.inj_iff Sum.inl.inj_iff #align sum.inr.inj_iff Sum.inr.inj_iff #align sum.inl_ne_inr Sum.inl_ne_inr #align sum.inr_ne_inl Sum.inr_ne_inl #align sum.elim Sum.elim #align sum.elim_inl Sum.elim_inl #align sum.elim_inr Sum.elim_inr #align sum.elim_comp_inl Sum.elim_comp_inl #align sum.elim_comp_inr Sum.elim_comp_inr #align sum.elim_inl_inr Sum.elim_inl_inr #align sum.comp_elim Sum.comp_elim #align sum.elim_comp_inl_inr Sum.elim_comp_inl_inr #align sum.map Sum.map #align sum.map_inl Sum.map_inl #align sum.map_inr Sum.map_inr #align sum.map_map Sum.map_map #align sum.map_comp_map Sum.map_comp_map #align sum.map_id_id Sum.map_id_id #align sum.elim_map Sum.elim_map #align sum.elim_comp_map Sum.elim_comp_map #align sum.is_left_map Sum.isLeft_map #align sum.is_right_map Sum.isRight_map #align sum.get_left_map Sum.getLeft?_map #align sum.get_right_map Sum.getRight?_map open Function (update update_eq_iff update_comp_eq_of_injective update_comp_eq_of_forall_ne) @[simp] theorem update_elim_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : α} {x : γ} : update (Sum.elim f g) (inl i) x = Sum.elim (update f i x) g := update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩ #align sum.update_elim_inl Sum.update_elim_inl @[simp] theorem update_elim_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : β} {x : γ} : update (Sum.elim f g) (inr i) x = Sum.elim f (update g i x) := update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩ #align sum.update_elim_inr Sum.update_elim_inr @[simp] theorem update_inl_comp_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {x : γ} : update f (inl i) x ∘ inl = update (f ∘ inl) i x := update_comp_eq_of_injective _ inl_injective _ _ #align sum.update_inl_comp_inl Sum.update_inl_comp_inl @[simp] theorem update_inl_apply_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : α} {x : γ} : update f (inl i) x (inl j) = update (f ∘ inl) i x j := by rw [← update_inl_comp_inl, Function.comp_apply] #align sum.update_inl_apply_inl Sum.update_inl_apply_inl @[simp] theorem update_inl_comp_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {x : γ} : update f (inl i) x ∘ inr = f ∘ inr := (update_comp_eq_of_forall_ne _ _) fun _ ↦ inr_ne_inl #align sum.update_inl_comp_inr Sum.update_inl_comp_inr theorem update_inl_apply_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} : update f (inl i) x (inr j) = f (inr j) := Function.update_noteq inr_ne_inl _ _ #align sum.update_inl_apply_inr Sum.update_inl_apply_inr @[simp] theorem update_inr_comp_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β} {x : γ} : update f (inr i) x ∘ inl = f ∘ inl := (update_comp_eq_of_forall_ne _ _) fun _ ↦ inl_ne_inr #align sum.update_inr_comp_inl Sum.update_inr_comp_inl theorem update_inr_apply_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} : update f (inr j) x (inl i) = f (inl i) := Function.update_noteq inl_ne_inr _ _ #align sum.update_inr_apply_inl Sum.update_inr_apply_inl @[simp] theorem update_inr_comp_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β} {x : γ} : update f (inr i) x ∘ inr = update (f ∘ inr) i x := update_comp_eq_of_injective _ inr_injective _ _ #align sum.update_inr_comp_inr Sum.update_inr_comp_inr @[simp] theorem update_inr_apply_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : β} {x : γ} : update f (inr i) x (inr j) = update (f ∘ inr) i x j := by rw [← update_inr_comp_inr, Function.comp_apply] #align sum.update_inr_apply_inr Sum.update_inr_apply_inr #align sum.swap Sum.swap #align sum.swap_inl Sum.swap_inl #align sum.swap_inr Sum.swap_inr #align sum.swap_swap Sum.swap_swap #align sum.swap_swap_eq Sum.swap_swap_eq @[simp] theorem swap_leftInverse : Function.LeftInverse (@swap α β) swap := swap_swap #align sum.swap_left_inverse Sum.swap_leftInverse @[simp] theorem swap_rightInverse : Function.RightInverse (@swap α β) swap := swap_swap #align sum.swap_right_inverse Sum.swap_rightInverse #align sum.is_left_swap Sum.isLeft_swap #align sum.is_right_swap Sum.isRight_swap #align sum.get_left_swap Sum.getLeft?_swap #align sum.get_right_swap Sum.getRight?_swap mk_iff_of_inductive_prop Sum.LiftRel Sum.liftRel_iff namespace LiftRel #align sum.lift_rel Sum.LiftRel #align sum.lift_rel_inl_inl Sum.liftRel_inl_inl #align sum.not_lift_rel_inl_inr Sum.not_liftRel_inl_inr #align sum.not_lift_rel_inr_inl Sum.not_liftRel_inr_inl #align sum.lift_rel_inr_inr Sum.liftRel_inr_inr #align sum.lift_rel.mono Sum.LiftRel.mono #align sum.lift_rel.mono_left Sum.LiftRel.mono_left #align sum.lift_rel.mono_right Sum.LiftRel.mono_right #align sum.lift_rel.swap Sum.LiftRel.swap #align sum.lift_rel_swap_iff Sum.liftRel_swap_iff variable {r : α → γ → Prop} {s : β → δ → Prop} {x : Sum α β} {y : Sum γ δ} {a : α} {b : β} {c : γ} {d : δ}
Mathlib/Data/Sum/Basic.lean
210
210
theorem isLeft_congr (h : LiftRel r s x y) : x.isLeft ↔ y.isLeft := by
cases h <;> rfl
import Mathlib.Data.Matrix.Basis import Mathlib.LinearAlgebra.Basis import Mathlib.LinearAlgebra.Pi #align_import linear_algebra.std_basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" open Function Set Submodule namespace LinearMap variable (R : Type*) {ι : Type*} [Semiring R] (φ : ι → Type*) [∀ i, AddCommMonoid (φ i)] [∀ i, Module R (φ i)] [DecidableEq ι] def stdBasis : ∀ i : ι, φ i →ₗ[R] ∀ i, φ i := single #align linear_map.std_basis LinearMap.stdBasis theorem stdBasis_apply (i : ι) (b : φ i) : stdBasis R φ i b = update (0 : (a : ι) → φ a) i b := rfl #align linear_map.std_basis_apply LinearMap.stdBasis_apply @[simp]
Mathlib/LinearAlgebra/StdBasis.lean
55
57
theorem stdBasis_apply' (i i' : ι) : (stdBasis R (fun _x : ι => R) i) 1 i' = ite (i = i') 1 0 := by
rw [LinearMap.stdBasis_apply, Function.update_apply, Pi.zero_apply] congr 1; rw [eq_iff_iff, eq_comm]
import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.Tactic.FieldSimp #align_import linear_algebra.affine_space.slope from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open AffineMap variable {k E PE : Type*} [Field k] [AddCommGroup E] [Module k E] [AddTorsor E PE] def slope (f : k → PE) (a b : k) : E := (b - a)⁻¹ • (f b -ᵥ f a) #align slope slope theorem slope_fun_def (f : k → PE) : slope f = fun a b => (b - a)⁻¹ • (f b -ᵥ f a) := rfl #align slope_fun_def slope_fun_def theorem slope_def_field (f : k → k) (a b : k) : slope f a b = (f b - f a) / (b - a) := (div_eq_inv_mul _ _).symm #align slope_def_field slope_def_field theorem slope_fun_def_field (f : k → k) (a : k) : slope f a = fun b => (f b - f a) / (b - a) := (div_eq_inv_mul _ _).symm #align slope_fun_def_field slope_fun_def_field @[simp] theorem slope_same (f : k → PE) (a : k) : (slope f a a : E) = 0 := by rw [slope, sub_self, inv_zero, zero_smul] #align slope_same slope_same theorem slope_def_module (f : k → E) (a b : k) : slope f a b = (b - a)⁻¹ • (f b - f a) := rfl #align slope_def_module slope_def_module @[simp] theorem sub_smul_slope (f : k → PE) (a b : k) : (b - a) • slope f a b = f b -ᵥ f a := by rcases eq_or_ne a b with (rfl | hne) · rw [sub_self, zero_smul, vsub_self] · rw [slope, smul_inv_smul₀ (sub_ne_zero.2 hne.symm)] #align sub_smul_slope sub_smul_slope theorem sub_smul_slope_vadd (f : k → PE) (a b : k) : (b - a) • slope f a b +ᵥ f a = f b := by rw [sub_smul_slope, vsub_vadd] #align sub_smul_slope_vadd sub_smul_slope_vadd @[simp] theorem slope_vadd_const (f : k → E) (c : PE) : (slope fun x => f x +ᵥ c) = slope f := by ext a b simp only [slope, vadd_vsub_vadd_cancel_right, vsub_eq_sub] #align slope_vadd_const slope_vadd_const @[simp] theorem slope_sub_smul (f : k → E) {a b : k} (h : a ≠ b) : slope (fun x => (x - a) • f x) a b = f b := by simp [slope, inv_smul_smul₀ (sub_ne_zero.2 h.symm)] #align slope_sub_smul slope_sub_smul theorem eq_of_slope_eq_zero {f : k → PE} {a b : k} (h : slope f a b = (0 : E)) : f a = f b := by rw [← sub_smul_slope_vadd f a b, h, smul_zero, zero_vadd] #align eq_of_slope_eq_zero eq_of_slope_eq_zero theorem AffineMap.slope_comp {F PF : Type*} [AddCommGroup F] [Module k F] [AddTorsor F PF] (f : PE →ᵃ[k] PF) (g : k → PE) (a b : k) : slope (f ∘ g) a b = f.linear (slope g a b) := by simp only [slope, (· ∘ ·), f.linear.map_smul, f.linearMap_vsub] #align affine_map.slope_comp AffineMap.slope_comp theorem LinearMap.slope_comp {F : Type*} [AddCommGroup F] [Module k F] (f : E →ₗ[k] F) (g : k → E) (a b : k) : slope (f ∘ g) a b = f (slope g a b) := f.toAffineMap.slope_comp g a b #align linear_map.slope_comp LinearMap.slope_comp theorem slope_comm (f : k → PE) (a b : k) : slope f a b = slope f b a := by rw [slope, slope, ← neg_vsub_eq_vsub_rev, smul_neg, ← neg_smul, neg_inv, neg_sub] #align slope_comm slope_comm @[simp] lemma slope_neg (f : k → E) (x y : k) : slope (fun t ↦ -f t) x y = -slope f x y := by simp only [slope_def_module, neg_sub_neg, ← smul_neg, neg_sub]
Mathlib/LinearAlgebra/AffineSpace/Slope.lean
102
116
theorem sub_div_sub_smul_slope_add_sub_div_sub_smul_slope (f : k → PE) (a b c : k) : ((b - a) / (c - a)) • slope f a b + ((c - b) / (c - a)) • slope f b c = slope f a c := by
by_cases hab : a = b · subst hab rw [sub_self, zero_div, zero_smul, zero_add] by_cases hac : a = c · simp [hac] · rw [div_self (sub_ne_zero.2 <| Ne.symm hac), one_smul] by_cases hbc : b = c; · subst hbc simp [sub_ne_zero.2 (Ne.symm hab)] rw [add_comm] simp_rw [slope, div_eq_inv_mul, mul_smul, ← smul_add, smul_inv_smul₀ (sub_ne_zero.2 <| Ne.symm hab), smul_inv_smul₀ (sub_ne_zero.2 <| Ne.symm hbc), vsub_add_vsub_cancel]
import Mathlib.Order.Atoms import Mathlib.Order.OrderIsoNat import Mathlib.Order.RelIso.Set import Mathlib.Order.SupClosed import Mathlib.Order.SupIndep import Mathlib.Order.Zorn import Mathlib.Data.Finset.Order import Mathlib.Order.Interval.Set.OrderIso import Mathlib.Data.Finite.Set import Mathlib.Tactic.TFAE #align_import order.compactly_generated from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f" open Set variable {ι : Sort*} {α : Type*} [CompleteLattice α] {f : ι → α} namespace CompleteLattice variable (α) def IsSupClosedCompact : Prop := ∀ (s : Set α) (_ : s.Nonempty), SupClosed s → sSup s ∈ s #align complete_lattice.is_sup_closed_compact CompleteLattice.IsSupClosedCompact def IsSupFiniteCompact : Prop := ∀ s : Set α, ∃ t : Finset α, ↑t ⊆ s ∧ sSup s = t.sup id #align complete_lattice.is_Sup_finite_compact CompleteLattice.IsSupFiniteCompact def IsCompactElement {α : Type*} [CompleteLattice α] (k : α) := ∀ s : Set α, k ≤ sSup s → ∃ t : Finset α, ↑t ⊆ s ∧ k ≤ t.sup id #align complete_lattice.is_compact_element CompleteLattice.IsCompactElement theorem isCompactElement_iff.{u} {α : Type u} [CompleteLattice α] (k : α) : CompleteLattice.IsCompactElement k ↔ ∀ (ι : Type u) (s : ι → α), k ≤ iSup s → ∃ t : Finset ι, k ≤ t.sup s := by classical constructor · intro H ι s hs obtain ⟨t, ht, ht'⟩ := H (Set.range s) hs have : ∀ x : t, ∃ i, s i = x := fun x => ht x.prop choose f hf using this refine ⟨Finset.univ.image f, ht'.trans ?_⟩ rw [Finset.sup_le_iff] intro b hb rw [← show s (f ⟨b, hb⟩) = id b from hf _] exact Finset.le_sup (Finset.mem_image_of_mem f <| Finset.mem_univ (Subtype.mk b hb)) · intro H s hs obtain ⟨t, ht⟩ := H s Subtype.val (by delta iSup rwa [Subtype.range_coe]) refine ⟨t.image Subtype.val, by simp, ht.trans ?_⟩ rw [Finset.sup_le_iff] exact fun x hx => @Finset.le_sup _ _ _ _ _ id _ (Finset.mem_image_of_mem Subtype.val hx) #align complete_lattice.is_compact_element_iff CompleteLattice.isCompactElement_iff theorem isCompactElement_iff_le_of_directed_sSup_le (k : α) : IsCompactElement k ↔ ∀ s : Set α, s.Nonempty → DirectedOn (· ≤ ·) s → k ≤ sSup s → ∃ x : α, x ∈ s ∧ k ≤ x := by classical constructor · intro hk s hne hdir hsup obtain ⟨t, ht⟩ := hk s hsup -- certainly every element of t is below something in s, since ↑t ⊆ s. have t_below_s : ∀ x ∈ t, ∃ y ∈ s, x ≤ y := fun x hxt => ⟨x, ht.left hxt, le_rfl⟩ obtain ⟨x, ⟨hxs, hsupx⟩⟩ := Finset.sup_le_of_le_directed s hne hdir t t_below_s exact ⟨x, ⟨hxs, le_trans ht.right hsupx⟩⟩ · intro hk s hsup -- Consider the set of finite joins of elements of the (plain) set s. let S : Set α := { x | ∃ t : Finset α, ↑t ⊆ s ∧ x = t.sup id } -- S is directed, nonempty, and still has sup above k. have dir_US : DirectedOn (· ≤ ·) S := by rintro x ⟨c, hc⟩ y ⟨d, hd⟩ use x ⊔ y constructor · use c ∪ d constructor · simp only [hc.left, hd.left, Set.union_subset_iff, Finset.coe_union, and_self_iff] · simp only [hc.right, hd.right, Finset.sup_union] simp only [and_self_iff, le_sup_left, le_sup_right] have sup_S : sSup s ≤ sSup S := by apply sSup_le_sSup intro x hx use {x} simpa only [and_true_iff, id, Finset.coe_singleton, eq_self_iff_true, Finset.sup_singleton, Set.singleton_subset_iff] have Sne : S.Nonempty := by suffices ⊥ ∈ S from Set.nonempty_of_mem this use ∅ simp only [Set.empty_subset, Finset.coe_empty, Finset.sup_empty, eq_self_iff_true, and_self_iff] -- Now apply the defn of compact and finish. obtain ⟨j, ⟨hjS, hjk⟩⟩ := hk S Sne dir_US (le_trans hsup sup_S) obtain ⟨t, ⟨htS, htsup⟩⟩ := hjS use t exact ⟨htS, by rwa [← htsup]⟩ #align complete_lattice.is_compact_element_iff_le_of_directed_Sup_le CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le theorem IsCompactElement.exists_finset_of_le_iSup {k : α} (hk : IsCompactElement k) {ι : Type*} (f : ι → α) (h : k ≤ ⨆ i, f i) : ∃ s : Finset ι, k ≤ ⨆ i ∈ s, f i := by classical let g : Finset ι → α := fun s => ⨆ i ∈ s, f i have h1 : DirectedOn (· ≤ ·) (Set.range g) := by rintro - ⟨s, rfl⟩ - ⟨t, rfl⟩ exact ⟨g (s ∪ t), ⟨s ∪ t, rfl⟩, iSup_le_iSup_of_subset Finset.subset_union_left, iSup_le_iSup_of_subset Finset.subset_union_right⟩ have h2 : k ≤ sSup (Set.range g) := h.trans (iSup_le fun i => le_sSup_of_le ⟨{i}, rfl⟩ (le_iSup_of_le i (le_iSup_of_le (Finset.mem_singleton_self i) le_rfl))) obtain ⟨-, ⟨s, rfl⟩, hs⟩ := (isCompactElement_iff_le_of_directed_sSup_le α k).mp hk (Set.range g) (Set.range_nonempty g) h1 h2 exact ⟨s, hs⟩ #align complete_lattice.is_compact_element.exists_finset_of_le_supr CompleteLattice.IsCompactElement.exists_finset_of_le_iSup theorem IsCompactElement.directed_sSup_lt_of_lt {α : Type*} [CompleteLattice α] {k : α} (hk : IsCompactElement k) {s : Set α} (hemp : s.Nonempty) (hdir : DirectedOn (· ≤ ·) s) (hbelow : ∀ x ∈ s, x < k) : sSup s < k := by rw [isCompactElement_iff_le_of_directed_sSup_le] at hk by_contra h have sSup' : sSup s ≤ k := sSup_le s k fun s hs => (hbelow s hs).le replace sSup : sSup s = k := eq_iff_le_not_lt.mpr ⟨sSup', h⟩ obtain ⟨x, hxs, hkx⟩ := hk s hemp hdir sSup.symm.le obtain hxk := hbelow x hxs exact hxk.ne (hxk.le.antisymm hkx) #align complete_lattice.is_compact_element.directed_Sup_lt_of_lt CompleteLattice.IsCompactElement.directed_sSup_lt_of_lt
Mathlib/Order/CompactlyGenerated/Basic.lean
186
199
theorem isCompactElement_finsetSup {α β : Type*} [CompleteLattice α] {f : β → α} (s : Finset β) (h : ∀ x ∈ s, IsCompactElement (f x)) : IsCompactElement (s.sup f) := by
classical rw [isCompactElement_iff_le_of_directed_sSup_le] intro d hemp hdir hsup rw [← Function.id_comp f] rw [← Finset.sup_image] apply Finset.sup_le_of_le_directed d hemp hdir rintro x hx obtain ⟨p, ⟨hps, rfl⟩⟩ := Finset.mem_image.mp hx specialize h p hps rw [isCompactElement_iff_le_of_directed_sSup_le] at h specialize h d hemp hdir (le_trans (Finset.le_sup hps) hsup) simpa only [exists_prop]
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym section Values variable {p : ℕ} [Fact p.Prime] open ZMod
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
294
296
theorem legendreSym.at_neg_one (hp : p ≠ 2) : legendreSym p (-1) = χ₄ p := by
simp only [legendreSym, card p, quadraticChar_neg_one ((ringChar_zmod_n p).substr hp), Int.cast_neg, Int.cast_one]
import Mathlib.Algebra.Algebra.Prod import Mathlib.Algebra.Algebra.Subalgebra.Basic #align_import algebra.algebra.subalgebra.basic from "leanprover-community/mathlib"@"b915e9392ecb2a861e1e766f0e1df6ac481188ca" namespace Subalgebra open Algebra variable {R A B : Type*} [CommSemiring R] [Semiring A] [Algebra R A] [Semiring B] [Algebra R B] variable (S : Subalgebra R A) (S₁ : Subalgebra R B) def prod : Subalgebra R (A × B) := { S.toSubsemiring.prod S₁.toSubsemiring with carrier := S ×ˢ S₁ algebraMap_mem' := fun _ => ⟨algebraMap_mem _ _, algebraMap_mem _ _⟩ } #align subalgebra.prod Subalgebra.prod @[simp] theorem coe_prod : (prod S S₁ : Set (A × B)) = (S : Set A) ×ˢ (S₁ : Set B) := rfl #align subalgebra.coe_prod Subalgebra.coe_prod open Subalgebra in theorem prod_toSubmodule : toSubmodule (S.prod S₁) = (toSubmodule S).prod (toSubmodule S₁) := rfl #align subalgebra.prod_to_submodule Subalgebra.prod_toSubmodule @[simp] theorem mem_prod {S : Subalgebra R A} {S₁ : Subalgebra R B} {x : A × B} : x ∈ prod S S₁ ↔ x.1 ∈ S ∧ x.2 ∈ S₁ := Set.mem_prod #align subalgebra.mem_prod Subalgebra.mem_prod @[simp]
Mathlib/Algebra/Algebra/Subalgebra/Prod.lean
51
51
theorem prod_top : (prod ⊤ ⊤ : Subalgebra R (A × B)) = ⊤ := by
ext; simp
import Mathlib.GroupTheory.CoprodI import Mathlib.GroupTheory.Coprod.Basic import Mathlib.GroupTheory.QuotientGroup import Mathlib.GroupTheory.Complement namespace Monoid open CoprodI Subgroup Coprod Function List variable {ι : Type*} {G : ι → Type*} {H : Type*} {K : Type*} [Monoid K] def PushoutI.con [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Con (Coprod (CoprodI G) H) := conGen (fun x y : Coprod (CoprodI G) H => ∃ i x', x = inl (of (φ i x')) ∧ y = inr x') def PushoutI [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Type _ := (PushoutI.con φ).Quotient namespace PushoutI section Monoid variable [∀ i, Monoid (G i)] [Monoid H] {φ : ∀ i, H →* G i} protected instance mul : Mul (PushoutI φ) := by delta PushoutI; infer_instance protected instance one : One (PushoutI φ) := by delta PushoutI; infer_instance instance monoid : Monoid (PushoutI φ) := { Con.monoid _ with toMul := PushoutI.mul toOne := PushoutI.one } def of (i : ι) : G i →* PushoutI φ := (Con.mk' _).comp <| inl.comp CoprodI.of variable (φ) in def base : H →* PushoutI φ := (Con.mk' _).comp inr theorem of_comp_eq_base (i : ι) : (of i).comp (φ i) = (base φ) := by ext x apply (Con.eq _).2 refine ConGen.Rel.of _ _ ?_ simp only [MonoidHom.comp_apply, Set.mem_iUnion, Set.mem_range] exact ⟨_, _, rfl, rfl⟩ variable (φ) in
Mathlib/GroupTheory/PushoutI.lean
96
97
theorem of_apply_eq_base (i : ι) (x : H) : of i (φ i x) = base φ x := by
rw [← MonoidHom.comp_apply, of_comp_eq_base]
import Mathlib.Data.List.Chain import Mathlib.Data.List.Enum import Mathlib.Data.List.Nodup import Mathlib.Data.List.Pairwise import Mathlib.Data.List.Zip #align_import data.list.range from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213" set_option autoImplicit true universe u open Nat namespace List variable {α : Type u} @[simp] theorem range'_one {step} : range' s 1 step = [s] := rfl #align list.length_range' List.length_range' #align list.range'_eq_nil List.range'_eq_nil #align list.mem_range' List.mem_range'_1 #align list.map_add_range' List.map_add_range' #align list.map_sub_range' List.map_sub_range' #align list.chain_succ_range' List.chain_succ_range' #align list.chain_lt_range' List.chain_lt_range' theorem pairwise_lt_range' : ∀ s n (step := 1) (_ : 0 < step := by simp), Pairwise (· < ·) (range' s n step) | _, 0, _, _ => Pairwise.nil | s, n + 1, _, h => chain_iff_pairwise.1 (chain_lt_range' s n h) #align list.pairwise_lt_range' List.pairwise_lt_range' theorem nodup_range' (s n : ℕ) (step := 1) (h : 0 < step := by simp) : Nodup (range' s n step) := (pairwise_lt_range' s n step h).imp _root_.ne_of_lt #align list.nodup_range' List.nodup_range' #align list.range'_append List.range'_append #align list.range'_sublist_right List.range'_sublist_right #align list.range'_subset_right List.range'_subset_right #align list.nth_range' List.get?_range' set_option linter.deprecated false in @[simp] theorem nthLe_range' {n m step} (i) (H : i < (range' n m step).length) : nthLe (range' n m step) i H = n + step * i := get_range' i H set_option linter.deprecated false in
Mathlib/Data/List/Range.lean
66
67
theorem nthLe_range'_1 {n m} (i) (H : i < (range' n m).length) : nthLe (range' n m) i H = n + i := by
simp
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h] theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h] #align rank_eq_of_surjective rank_eq_of_surjective theorem exists_linearIndependent_of_lt_rank [StrongRankCondition R] {s : Set M} (hs : LinearIndependent (ι := s) R Subtype.val) : ∃ t, s ⊆ t ∧ #t = Module.rank R M ∧ LinearIndependent (ι := t) R Subtype.val := by obtain ⟨t, ht, ht'⟩ := exists_set_linearIndependent R (M ⧸ Submodule.span R s) choose sec hsec using Submodule.Quotient.mk_surjective (Submodule.span R s) have hsec' : Submodule.Quotient.mk ∘ sec = id := funext hsec have hst : Disjoint s (sec '' t) := by rw [Set.disjoint_iff] rintro _ ⟨hxs, ⟨x, hxt, rfl⟩⟩ apply ht'.ne_zero ⟨x, hxt⟩ rw [Subtype.coe_mk, ← hsec x, Submodule.Quotient.mk_eq_zero] exact Submodule.subset_span hxs refine ⟨s ∪ sec '' t, subset_union_left, ?_, ?_⟩ · rw [Cardinal.mk_union_of_disjoint hst, Cardinal.mk_image_eq, ht, ← rank_quotient_add_rank (Submodule.span R s), add_comm, rank_span_set hs] exact HasLeftInverse.injective ⟨Submodule.Quotient.mk, hsec⟩ · apply LinearIndependent.union_of_quotient Submodule.subset_span hs rwa [Function.comp, linearIndependent_image (hsec'.symm ▸ injective_id).injOn.image_of_comp, ← image_comp, hsec', image_id] theorem exists_linearIndependent_cons_of_lt_rank [StrongRankCondition R] {n : ℕ} {v : Fin n → M} (hv : LinearIndependent R v) (h : n < Module.rank R M) : ∃ (x : M), LinearIndependent R (Fin.cons x v) := by obtain ⟨t, h₁, h₂, h₃⟩ := exists_linearIndependent_of_lt_rank hv.to_subtype_range have : range v ≠ t := by refine fun e ↦ h.ne ?_ rw [← e, ← lift_injective.eq_iff, mk_range_eq_of_injective hv.injective] at h₂ simpa only [mk_fintype, Fintype.card_fin, lift_natCast, lift_id'] using h₂ obtain ⟨x, hx, hx'⟩ := nonempty_of_ssubset (h₁.ssubset_of_ne this) exact ⟨x, (linearIndependent_subtype_range (Fin.cons_injective_iff.mpr ⟨hx', hv.injective⟩)).mp (h₃.mono (Fin.range_cons x v ▸ insert_subset hx h₁))⟩ theorem exists_linearIndependent_snoc_of_lt_rank [StrongRankCondition R] {n : ℕ} {v : Fin n → M} (hv : LinearIndependent R v) (h : n < Module.rank R M) : ∃ (x : M), LinearIndependent R (Fin.snoc v x) := by simp only [Fin.snoc_eq_cons_rotate] have ⟨x, hx⟩ := exists_linearIndependent_cons_of_lt_rank hv h exact ⟨x, hx.comp _ (finRotate _).injective⟩ theorem exists_linearIndependent_pair_of_one_lt_rank [StrongRankCondition R] [NoZeroSMulDivisors R M] (h : 1 < Module.rank R M) {x : M} (hx : x ≠ 0) : ∃ y, LinearIndependent R ![x, y] := by obtain ⟨y, hy⟩ := exists_linearIndependent_snoc_of_lt_rank (linearIndependent_unique ![x] hx) h have : Fin.snoc ![x] y = ![x, y] := Iff.mp List.ofFn_inj rfl rw [this] at hy exact ⟨y, hy⟩ theorem exists_smul_not_mem_of_rank_lt {N : Submodule R M} (h : Module.rank R N < Module.rank R M) : ∃ m : M, ∀ r : R, r ≠ 0 → r • m ∉ N := by have : Module.rank R (M ⧸ N) ≠ 0 := by intro e rw [← rank_quotient_add_rank N, e, zero_add] at h exact h.ne rfl rw [ne_eq, rank_eq_zero_iff, (Submodule.Quotient.mk_surjective N).forall] at this push_neg at this simp_rw [← N.mkQ_apply, ← map_smul, N.mkQ_apply, ne_eq, Submodule.Quotient.mk_eq_zero] at this exact this open Cardinal Basis Submodule Function Set LinearMap theorem Submodule.rank_sup_add_rank_inf_eq (s t : Submodule R M) : Module.rank R (s ⊔ t : Submodule R M) + Module.rank R (s ⊓ t : Submodule R M) = Module.rank R s + Module.rank R t := by conv_rhs => enter [2]; rw [show t = (s ⊔ t) ⊓ t by simp] rw [← rank_quotient_add_rank ((s ⊓ t).comap s.subtype), ← rank_quotient_add_rank (t.comap (s ⊔ t).subtype), (quotientInfEquivSupQuotient s t).rank_eq, (equivSubtypeMap s (comap _ (s ⊓ t))).rank_eq, Submodule.map_comap_subtype, (equivSubtypeMap (s ⊔ t) (comap _ t)).rank_eq, Submodule.map_comap_subtype, ← inf_assoc, inf_idem, add_right_comm] #align submodule.rank_sup_add_rank_inf_eq Submodule.rank_sup_add_rank_inf_eq
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
169
172
theorem Submodule.rank_add_le_rank_add_rank (s t : Submodule R M) : Module.rank R (s ⊔ t : Submodule R M) ≤ Module.rank R s + Module.rank R t := by
rw [← Submodule.rank_sup_add_rank_inf_eq] exact self_le_add_right _ _
import Mathlib.ModelTheory.Ultraproducts import Mathlib.ModelTheory.Bundled import Mathlib.ModelTheory.Skolem #align_import model_theory.satisfiability from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728" set_option linter.uppercaseLean3 false universe u v w w' open Cardinal CategoryTheory open Cardinal FirstOrder namespace FirstOrder namespace Language variable {L : Language.{u, v}} {T : L.Theory} {α : Type w} {n : ℕ} variable (L)
Mathlib/ModelTheory/Satisfiability.lean
212
224
theorem exists_elementaryEmbedding_card_eq_of_le (M : Type w') [L.Structure M] [Nonempty M] (κ : Cardinal.{w}) (h1 : ℵ₀ ≤ κ) (h2 : lift.{w} L.card ≤ Cardinal.lift.{max u v} κ) (h3 : lift.{w'} κ ≤ Cardinal.lift.{w} #M) : ∃ N : Bundled L.Structure, Nonempty (N ↪ₑ[L] M) ∧ #N = κ := by
obtain ⟨S, _, hS⟩ := exists_elementarySubstructure_card_eq L ∅ κ h1 (by simp) h2 h3 have : Small.{w} S := by rw [← lift_inj.{_, w + 1}, lift_lift, lift_lift] at hS exact small_iff_lift_mk_lt_univ.2 (lt_of_eq_of_lt hS κ.lift_lt_univ') refine ⟨(equivShrink S).bundledInduced L, ⟨S.subtype.comp (Equiv.bundledInducedEquiv L _).symm.toElementaryEmbedding⟩, lift_inj.1 (_root_.trans ?_ hS)⟩ simp only [Equiv.bundledInduced_α, lift_mk_shrink']
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section LinearOrderedField variable [LinearOrderedField α] {a : α} @[simp] theorem preimage_mul_const_Iio (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Iio a = Iio (a / c) := ext fun _x => (lt_div_iff h).symm #align set.preimage_mul_const_Iio Set.preimage_mul_const_Iio @[simp] theorem preimage_mul_const_Ioi (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioi a = Ioi (a / c) := ext fun _x => (div_lt_iff h).symm #align set.preimage_mul_const_Ioi Set.preimage_mul_const_Ioi @[simp] theorem preimage_mul_const_Iic (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Iic a = Iic (a / c) := ext fun _x => (le_div_iff h).symm #align set.preimage_mul_const_Iic Set.preimage_mul_const_Iic @[simp] theorem preimage_mul_const_Ici (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ici a = Ici (a / c) := ext fun _x => (div_le_iff h).symm #align set.preimage_mul_const_Ici Set.preimage_mul_const_Ici @[simp] theorem preimage_mul_const_Ioo (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioo a b = Ioo (a / c) (b / c) := by simp [← Ioi_inter_Iio, h] #align set.preimage_mul_const_Ioo Set.preimage_mul_const_Ioo @[simp] theorem preimage_mul_const_Ioc (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioc a b = Ioc (a / c) (b / c) := by simp [← Ioi_inter_Iic, h] #align set.preimage_mul_const_Ioc Set.preimage_mul_const_Ioc @[simp] theorem preimage_mul_const_Ico (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ico a b = Ico (a / c) (b / c) := by simp [← Ici_inter_Iio, h] #align set.preimage_mul_const_Ico Set.preimage_mul_const_Ico @[simp] theorem preimage_mul_const_Icc (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Icc a b = Icc (a / c) (b / c) := by simp [← Ici_inter_Iic, h] #align set.preimage_mul_const_Icc Set.preimage_mul_const_Icc @[simp] theorem preimage_mul_const_Iio_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Iio a = Ioi (a / c) := ext fun _x => (div_lt_iff_of_neg h).symm #align set.preimage_mul_const_Iio_of_neg Set.preimage_mul_const_Iio_of_neg @[simp] theorem preimage_mul_const_Ioi_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioi a = Iio (a / c) := ext fun _x => (lt_div_iff_of_neg h).symm #align set.preimage_mul_const_Ioi_of_neg Set.preimage_mul_const_Ioi_of_neg @[simp] theorem preimage_mul_const_Iic_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Iic a = Ici (a / c) := ext fun _x => (div_le_iff_of_neg h).symm #align set.preimage_mul_const_Iic_of_neg Set.preimage_mul_const_Iic_of_neg @[simp] theorem preimage_mul_const_Ici_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ici a = Iic (a / c) := ext fun _x => (le_div_iff_of_neg h).symm #align set.preimage_mul_const_Ici_of_neg Set.preimage_mul_const_Ici_of_neg @[simp] theorem preimage_mul_const_Ioo_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioo a b = Ioo (b / c) (a / c) := by simp [← Ioi_inter_Iio, h, inter_comm] #align set.preimage_mul_const_Ioo_of_neg Set.preimage_mul_const_Ioo_of_neg @[simp] theorem preimage_mul_const_Ioc_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioc a b = Ico (b / c) (a / c) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, h, inter_comm] #align set.preimage_mul_const_Ioc_of_neg Set.preimage_mul_const_Ioc_of_neg @[simp] theorem preimage_mul_const_Ico_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ico a b = Ioc (b / c) (a / c) := by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, h, inter_comm] #align set.preimage_mul_const_Ico_of_neg Set.preimage_mul_const_Ico_of_neg @[simp] theorem preimage_mul_const_Icc_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Icc a b = Icc (b / c) (a / c) := by simp [← Ici_inter_Iic, h, inter_comm] #align set.preimage_mul_const_Icc_of_neg Set.preimage_mul_const_Icc_of_neg @[simp] theorem preimage_const_mul_Iio (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Iio a = Iio (a / c) := ext fun _x => (lt_div_iff' h).symm #align set.preimage_const_mul_Iio Set.preimage_const_mul_Iio @[simp] theorem preimage_const_mul_Ioi (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioi a = Ioi (a / c) := ext fun _x => (div_lt_iff' h).symm #align set.preimage_const_mul_Ioi Set.preimage_const_mul_Ioi @[simp] theorem preimage_const_mul_Iic (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Iic a = Iic (a / c) := ext fun _x => (le_div_iff' h).symm #align set.preimage_const_mul_Iic Set.preimage_const_mul_Iic @[simp] theorem preimage_const_mul_Ici (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ici a = Ici (a / c) := ext fun _x => (div_le_iff' h).symm #align set.preimage_const_mul_Ici Set.preimage_const_mul_Ici @[simp] theorem preimage_const_mul_Ioo (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioo a b = Ioo (a / c) (b / c) := by simp [← Ioi_inter_Iio, h] #align set.preimage_const_mul_Ioo Set.preimage_const_mul_Ioo @[simp] theorem preimage_const_mul_Ioc (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioc a b = Ioc (a / c) (b / c) := by simp [← Ioi_inter_Iic, h] #align set.preimage_const_mul_Ioc Set.preimage_const_mul_Ioc @[simp] theorem preimage_const_mul_Ico (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ico a b = Ico (a / c) (b / c) := by simp [← Ici_inter_Iio, h] #align set.preimage_const_mul_Ico Set.preimage_const_mul_Ico @[simp] theorem preimage_const_mul_Icc (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Icc a b = Icc (a / c) (b / c) := by simp [← Ici_inter_Iic, h] #align set.preimage_const_mul_Icc Set.preimage_const_mul_Icc @[simp] theorem preimage_const_mul_Iio_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Iio a = Ioi (a / c) := by simpa only [mul_comm] using preimage_mul_const_Iio_of_neg a h #align set.preimage_const_mul_Iio_of_neg Set.preimage_const_mul_Iio_of_neg @[simp] theorem preimage_const_mul_Ioi_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioi a = Iio (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioi_of_neg a h #align set.preimage_const_mul_Ioi_of_neg Set.preimage_const_mul_Ioi_of_neg @[simp] theorem preimage_const_mul_Iic_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Iic a = Ici (a / c) := by simpa only [mul_comm] using preimage_mul_const_Iic_of_neg a h #align set.preimage_const_mul_Iic_of_neg Set.preimage_const_mul_Iic_of_neg @[simp] theorem preimage_const_mul_Ici_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ici a = Iic (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ici_of_neg a h #align set.preimage_const_mul_Ici_of_neg Set.preimage_const_mul_Ici_of_neg @[simp] theorem preimage_const_mul_Ioo_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioo a b = Ioo (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioo_of_neg a b h #align set.preimage_const_mul_Ioo_of_neg Set.preimage_const_mul_Ioo_of_neg @[simp] theorem preimage_const_mul_Ioc_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioc a b = Ico (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioc_of_neg a b h #align set.preimage_const_mul_Ioc_of_neg Set.preimage_const_mul_Ioc_of_neg @[simp] theorem preimage_const_mul_Ico_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ico a b = Ioc (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ico_of_neg a b h #align set.preimage_const_mul_Ico_of_neg Set.preimage_const_mul_Ico_of_neg @[simp] theorem preimage_const_mul_Icc_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Icc a b = Icc (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Icc_of_neg a b h #align set.preimage_const_mul_Icc_of_neg Set.preimage_const_mul_Icc_of_neg @[simp] theorem preimage_mul_const_uIcc (ha : a ≠ 0) (b c : α) : (· * a) ⁻¹' [[b, c]] = [[b / a, c / a]] := (lt_or_gt_of_ne ha).elim (fun h => by simp [← Icc_min_max, h, h.le, min_div_div_right_of_nonpos, max_div_div_right_of_nonpos]) fun ha : 0 < a => by simp [← Icc_min_max, ha, ha.le, min_div_div_right, max_div_div_right] #align set.preimage_mul_const_uIcc Set.preimage_mul_const_uIcc @[simp] theorem preimage_const_mul_uIcc (ha : a ≠ 0) (b c : α) : (a * ·) ⁻¹' [[b, c]] = [[b / a, c / a]] := by simp only [← preimage_mul_const_uIcc ha, mul_comm] #align set.preimage_const_mul_uIcc Set.preimage_const_mul_uIcc @[simp] theorem preimage_div_const_uIcc (ha : a ≠ 0) (b c : α) : (fun x => x / a) ⁻¹' [[b, c]] = [[b * a, c * a]] := by simp only [div_eq_mul_inv, preimage_mul_const_uIcc (inv_ne_zero ha), inv_inv] #align set.preimage_div_const_uIcc Set.preimage_div_const_uIcc @[simp] theorem image_mul_const_uIcc (a b c : α) : (· * a) '' [[b, c]] = [[b * a, c * a]] := if ha : a = 0 then by simp [ha] else calc (fun x => x * a) '' [[b, c]] = (· * a⁻¹) ⁻¹' [[b, c]] := (Units.mk0 a ha).mulRight.image_eq_preimage _ _ = (fun x => x / a) ⁻¹' [[b, c]] := by simp only [div_eq_mul_inv] _ = [[b * a, c * a]] := preimage_div_const_uIcc ha _ _ #align set.image_mul_const_uIcc Set.image_mul_const_uIcc @[simp] theorem image_const_mul_uIcc (a b c : α) : (a * ·) '' [[b, c]] = [[a * b, a * c]] := by simpa only [mul_comm] using image_mul_const_uIcc a b c #align set.image_const_mul_uIcc Set.image_const_mul_uIcc @[simp] theorem image_div_const_uIcc (a b c : α) : (fun x => x / a) '' [[b, c]] = [[b / a, c / a]] := by simp only [div_eq_mul_inv, image_mul_const_uIcc] #align set.image_div_const_uIcc Set.image_div_const_uIcc theorem image_mul_right_Icc' (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) '' Icc a b = Icc (a * c) (b * c) := ((Units.mk0 c h.ne').mulRight.image_eq_preimage _).trans (by simp [h, division_def]) #align set.image_mul_right_Icc' Set.image_mul_right_Icc'
Mathlib/Data/Set/Pointwise/Interval.lean
818
823
theorem image_mul_right_Icc {a b c : α} (hab : a ≤ b) (hc : 0 ≤ c) : (fun x => x * c) '' Icc a b = Icc (a * c) (b * c) := by
cases eq_or_lt_of_le hc · subst c simp [(nonempty_Icc.2 hab).image_const] exact image_mul_right_Icc' a b ‹0 < c›
import Mathlib.Analysis.Seminorm import Mathlib.Topology.Algebra.Equicontinuity import Mathlib.Topology.MetricSpace.Equicontinuity import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Topology.Algebra.Module.LocallyConvex #align_import analysis.locally_convex.with_seminorms from "leanprover-community/mathlib"@"b31173ee05c911d61ad6a05bd2196835c932e0ec" open NormedField Set Seminorm TopologicalSpace Filter List open NNReal Pointwise Topology Uniformity variable {𝕜 𝕜₂ 𝕝 𝕝₂ E F G ι ι' : Type*} section FilterBasis variable [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E] variable (𝕜 E ι) abbrev SeminormFamily := ι → Seminorm 𝕜 E #align seminorm_family SeminormFamily variable {𝕜 E ι} section Bounded namespace Seminorm variable [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E] variable [NormedField 𝕜₂] [AddCommGroup F] [Module 𝕜₂ F] variable {σ₁₂ : 𝕜 →+* 𝕜₂} [RingHomIsometric σ₁₂] -- Todo: This should be phrased entirely in terms of the von Neumann bornology. def IsBounded (p : ι → Seminorm 𝕜 E) (q : ι' → Seminorm 𝕜₂ F) (f : E →ₛₗ[σ₁₂] F) : Prop := ∀ i, ∃ s : Finset ι, ∃ C : ℝ≥0, (q i).comp f ≤ C • s.sup p #align seminorm.is_bounded Seminorm.IsBounded theorem isBounded_const (ι' : Type*) [Nonempty ι'] {p : ι → Seminorm 𝕜 E} {q : Seminorm 𝕜₂ F} (f : E →ₛₗ[σ₁₂] F) : IsBounded p (fun _ : ι' => q) f ↔ ∃ (s : Finset ι) (C : ℝ≥0), q.comp f ≤ C • s.sup p := by simp only [IsBounded, forall_const] #align seminorm.is_bounded_const Seminorm.isBounded_const theorem const_isBounded (ι : Type*) [Nonempty ι] {p : Seminorm 𝕜 E} {q : ι' → Seminorm 𝕜₂ F} (f : E →ₛₗ[σ₁₂] F) : IsBounded (fun _ : ι => p) q f ↔ ∀ i, ∃ C : ℝ≥0, (q i).comp f ≤ C • p := by constructor <;> intro h i · rcases h i with ⟨s, C, h⟩ exact ⟨C, le_trans h (smul_le_smul (Finset.sup_le fun _ _ => le_rfl) le_rfl)⟩ use {Classical.arbitrary ι} simp only [h, Finset.sup_singleton] #align seminorm.const_is_bounded Seminorm.const_isBounded
Mathlib/Analysis/LocallyConvex/WithSeminorms.lean
241
256
theorem isBounded_sup {p : ι → Seminorm 𝕜 E} {q : ι' → Seminorm 𝕜₂ F} {f : E →ₛₗ[σ₁₂] F} (hf : IsBounded p q f) (s' : Finset ι') : ∃ (C : ℝ≥0) (s : Finset ι), (s'.sup q).comp f ≤ C • s.sup p := by
classical obtain rfl | _ := s'.eq_empty_or_nonempty · exact ⟨1, ∅, by simp [Seminorm.bot_eq_zero]⟩ choose fₛ fC hf using hf use s'.card • s'.sup fC, Finset.biUnion s' fₛ have hs : ∀ i : ι', i ∈ s' → (q i).comp f ≤ s'.sup fC • (Finset.biUnion s' fₛ).sup p := by intro i hi refine (hf i).trans (smul_le_smul ?_ (Finset.le_sup hi)) exact Finset.sup_mono (Finset.subset_biUnion_of_mem fₛ hi) refine (comp_mono f (finset_sup_le_sum q s')).trans ?_ simp_rw [← pullback_apply, map_sum, pullback_apply] refine (Finset.sum_le_sum hs).trans ?_ rw [Finset.sum_const, smul_assoc]
import Mathlib.Data.Set.Prod import Mathlib.Logic.Equiv.Fin import Mathlib.ModelTheory.LanguageMap #align_import model_theory.syntax from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728" universe u v w u' v' namespace FirstOrder namespace Language variable (L : Language.{u, v}) {L' : Language} variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P] variable {α : Type u'} {β : Type v'} {γ : Type*} open FirstOrder open Structure Fin inductive Term (α : Type u') : Type max u u' | var : α → Term α | func : ∀ {l : ℕ} (_f : L.Functions l) (_ts : Fin l → Term α), Term α #align first_order.language.term FirstOrder.Language.Term export Term (var func) variable {L} namespace Term open Finset @[simp] def varFinset [DecidableEq α] : L.Term α → Finset α | var i => {i} | func _f ts => univ.biUnion fun i => (ts i).varFinset #align first_order.language.term.var_finset FirstOrder.Language.Term.varFinset -- Porting note: universes in different order @[simp] def varFinsetLeft [DecidableEq α] : L.Term (Sum α β) → Finset α | var (Sum.inl i) => {i} | var (Sum.inr _i) => ∅ | func _f ts => univ.biUnion fun i => (ts i).varFinsetLeft #align first_order.language.term.var_finset_left FirstOrder.Language.Term.varFinsetLeft -- Porting note: universes in different order @[simp] def relabel (g : α → β) : L.Term α → L.Term β | var i => var (g i) | func f ts => func f fun {i} => (ts i).relabel g #align first_order.language.term.relabel FirstOrder.Language.Term.relabel theorem relabel_id (t : L.Term α) : t.relabel id = t := by induction' t with _ _ _ _ ih · rfl · simp [ih] #align first_order.language.term.relabel_id FirstOrder.Language.Term.relabel_id @[simp] theorem relabel_id_eq_id : (Term.relabel id : L.Term α → L.Term α) = id := funext relabel_id #align first_order.language.term.relabel_id_eq_id FirstOrder.Language.Term.relabel_id_eq_id @[simp]
Mathlib/ModelTheory/Syntax.lean
119
123
theorem relabel_relabel (f : α → β) (g : β → γ) (t : L.Term α) : (t.relabel f).relabel g = t.relabel (g ∘ f) := by
induction' t with _ _ _ _ ih · rfl · simp [ih]
import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.RingTheory.Localization.Basic #align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74" namespace IsLocalization section CommSemiring variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S] variable [Algebra R S] [IsLocalization M S] private def map_ideal (I : Ideal R) : Ideal S where carrier := { z : S | ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 } zero_mem' := ⟨⟨0, 1⟩, by simp⟩ add_mem' := by rintro a b ⟨a', ha⟩ ⟨b', hb⟩ let Z : { x // x ∈ I } := ⟨(a'.2 : R) * (b'.1 : R) + (b'.2 : R) * (a'.1 : R), I.add_mem (I.mul_mem_left _ b'.1.2) (I.mul_mem_left _ a'.1.2)⟩ use ⟨Z, a'.2 * b'.2⟩ simp only [RingHom.map_add, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul] rw [add_mul, ← mul_assoc a, ha, mul_comm (algebraMap R S a'.2) (algebraMap R S b'.2), ← mul_assoc b, hb] ring smul_mem' := by rintro c x ⟨x', hx⟩ obtain ⟨c', hc⟩ := IsLocalization.surj M c let Z : { x // x ∈ I } := ⟨c'.1 * x'.1, I.mul_mem_left c'.1 x'.1.2⟩ use ⟨Z, c'.2 * x'.2⟩ simp only [← hx, ← hc, smul_eq_mul, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul] ring -- Porting note: removed #align declaration since it is a private def
Mathlib/RingTheory/Localization/Ideal.lean
53
64
theorem mem_map_algebraMap_iff {I : Ideal R} {z} : z ∈ Ideal.map (algebraMap R S) I ↔ ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 := by
constructor · change _ → z ∈ map_ideal M S I refine fun h => Ideal.mem_sInf.1 h fun z hz => ?_ obtain ⟨y, hy⟩ := hz let Z : { x // x ∈ I } := ⟨y, hy.left⟩ use ⟨Z, 1⟩ simp [hy.right] · rintro ⟨⟨a, s⟩, h⟩ rw [← Ideal.unit_mul_mem_iff_mem _ (map_units S s), mul_comm] exact h.symm ▸ Ideal.mem_map_of_mem _ a.2
import Mathlib.Analysis.BoxIntegral.Partition.SubboxInduction import Mathlib.Analysis.BoxIntegral.Partition.Split #align_import analysis.box_integral.partition.filter from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" open Set Function Filter Metric Finset Bool open scoped Classical open Topology Filter NNReal noncomputable section namespace BoxIntegral variable {ι : Type*} [Fintype ι] {I J : Box ι} {c c₁ c₂ : ℝ≥0} {r r₁ r₂ : (ι → ℝ) → Ioi (0 : ℝ)} {π π₁ π₂ : TaggedPrepartition I} open TaggedPrepartition @[ext] structure IntegrationParams : Type where (bRiemann bHenstock bDistortion : Bool) #align box_integral.integration_params BoxIntegral.IntegrationParams variable {l l₁ l₂ : IntegrationParams} namespace IntegrationParams def equivProd : IntegrationParams ≃ Bool × Boolᵒᵈ × Boolᵒᵈ where toFun l := ⟨l.1, OrderDual.toDual l.2, OrderDual.toDual l.3⟩ invFun l := ⟨l.1, OrderDual.ofDual l.2.1, OrderDual.ofDual l.2.2⟩ left_inv _ := rfl right_inv _ := rfl #align box_integral.integration_params.equiv_prod BoxIntegral.IntegrationParams.equivProd instance : PartialOrder IntegrationParams := PartialOrder.lift equivProd equivProd.injective def isoProd : IntegrationParams ≃o Bool × Boolᵒᵈ × Boolᵒᵈ := ⟨equivProd, Iff.rfl⟩ #align box_integral.integration_params.iso_prod BoxIntegral.IntegrationParams.isoProd instance : BoundedOrder IntegrationParams := isoProd.symm.toGaloisInsertion.liftBoundedOrder instance : Inhabited IntegrationParams := ⟨⊥⟩ instance : DecidableRel ((· ≤ ·) : IntegrationParams → IntegrationParams → Prop) := fun _ _ => And.decidable instance : DecidableEq IntegrationParams := fun x y => decidable_of_iff _ (IntegrationParams.ext_iff x y).symm def Riemann : IntegrationParams where bRiemann := true bHenstock := true bDistortion := false set_option linter.uppercaseLean3 false in #align box_integral.integration_params.Riemann BoxIntegral.IntegrationParams.Riemann def Henstock : IntegrationParams := ⟨false, true, false⟩ set_option linter.uppercaseLean3 false in #align box_integral.integration_params.Henstock BoxIntegral.IntegrationParams.Henstock def McShane : IntegrationParams := ⟨false, false, false⟩ set_option linter.uppercaseLean3 false in #align box_integral.integration_params.McShane BoxIntegral.IntegrationParams.McShane def GP : IntegrationParams := ⊥ set_option linter.uppercaseLean3 false in #align box_integral.integration_params.GP BoxIntegral.IntegrationParams.GP theorem henstock_le_riemann : Henstock ≤ Riemann := by trivial set_option linter.uppercaseLean3 false in #align box_integral.integration_params.Henstock_le_Riemann BoxIntegral.IntegrationParams.henstock_le_riemann theorem henstock_le_mcShane : Henstock ≤ McShane := by trivial set_option linter.uppercaseLean3 false in #align box_integral.integration_params.Henstock_le_McShane BoxIntegral.IntegrationParams.henstock_le_mcShane theorem gp_le : GP ≤ l := bot_le set_option linter.uppercaseLean3 false in #align box_integral.integration_params.GP_le BoxIntegral.IntegrationParams.gp_le structure MemBaseSet (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) (r : (ι → ℝ) → Ioi (0 : ℝ)) (π : TaggedPrepartition I) : Prop where protected isSubordinate : π.IsSubordinate r protected isHenstock : l.bHenstock → π.IsHenstock protected distortion_le : l.bDistortion → π.distortion ≤ c protected exists_compl : l.bDistortion → ∃ π' : Prepartition I, π'.iUnion = ↑I \ π.iUnion ∧ π'.distortion ≤ c #align box_integral.integration_params.mem_base_set BoxIntegral.IntegrationParams.MemBaseSet def RCond {ι : Type*} (l : IntegrationParams) (r : (ι → ℝ) → Ioi (0 : ℝ)) : Prop := l.bRiemann → ∀ x, r x = r 0 #align box_integral.integration_params.r_cond BoxIntegral.IntegrationParams.RCond def toFilterDistortion (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) : Filter (TaggedPrepartition I) := ⨅ (r : (ι → ℝ) → Ioi (0 : ℝ)) (_ : l.RCond r), 𝓟 { π | l.MemBaseSet I c r π } #align box_integral.integration_params.to_filter_distortion BoxIntegral.IntegrationParams.toFilterDistortion def toFilter (l : IntegrationParams) (I : Box ι) : Filter (TaggedPrepartition I) := ⨆ c : ℝ≥0, l.toFilterDistortion I c #align box_integral.integration_params.to_filter BoxIntegral.IntegrationParams.toFilter def toFilterDistortioniUnion (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) (π₀ : Prepartition I) := l.toFilterDistortion I c ⊓ 𝓟 { π | π.iUnion = π₀.iUnion } #align box_integral.integration_params.to_filter_distortion_Union BoxIntegral.IntegrationParams.toFilterDistortioniUnion def toFilteriUnion (l : IntegrationParams) (I : Box ι) (π₀ : Prepartition I) := ⨆ c : ℝ≥0, l.toFilterDistortioniUnion I c π₀ #align box_integral.integration_params.to_filter_Union BoxIntegral.IntegrationParams.toFilteriUnion theorem rCond_of_bRiemann_eq_false {ι} (l : IntegrationParams) (hl : l.bRiemann = false) {r : (ι → ℝ) → Ioi (0 : ℝ)} : l.RCond r := by simp [RCond, hl] set_option linter.uppercaseLean3 false in #align box_integral.integration_params.r_cond_of_bRiemann_eq_ff BoxIntegral.IntegrationParams.rCond_of_bRiemann_eq_false theorem toFilter_inf_iUnion_eq (l : IntegrationParams) (I : Box ι) (π₀ : Prepartition I) : l.toFilter I ⊓ 𝓟 { π | π.iUnion = π₀.iUnion } = l.toFilteriUnion I π₀ := (iSup_inf_principal _ _).symm #align box_integral.integration_params.to_filter_inf_Union_eq BoxIntegral.IntegrationParams.toFilter_inf_iUnion_eq theorem MemBaseSet.mono' (I : Box ι) (h : l₁ ≤ l₂) (hc : c₁ ≤ c₂) {π : TaggedPrepartition I} (hr : ∀ J ∈ π, r₁ (π.tag J) ≤ r₂ (π.tag J)) (hπ : l₁.MemBaseSet I c₁ r₁ π) : l₂.MemBaseSet I c₂ r₂ π := ⟨hπ.1.mono' hr, fun h₂ => hπ.2 (le_iff_imp.1 h.2.1 h₂), fun hD => (hπ.3 (le_iff_imp.1 h.2.2 hD)).trans hc, fun hD => (hπ.4 (le_iff_imp.1 h.2.2 hD)).imp fun _ hπ => ⟨hπ.1, hπ.2.trans hc⟩⟩ #align box_integral.integration_params.mem_base_set.mono' BoxIntegral.IntegrationParams.MemBaseSet.mono' @[mono] theorem MemBaseSet.mono (I : Box ι) (h : l₁ ≤ l₂) (hc : c₁ ≤ c₂) {π : TaggedPrepartition I} (hr : ∀ x ∈ Box.Icc I, r₁ x ≤ r₂ x) (hπ : l₁.MemBaseSet I c₁ r₁ π) : l₂.MemBaseSet I c₂ r₂ π := hπ.mono' I h hc fun J _ => hr _ <| π.tag_mem_Icc J #align box_integral.integration_params.mem_base_set.mono BoxIntegral.IntegrationParams.MemBaseSet.mono theorem MemBaseSet.exists_common_compl (h₁ : l.MemBaseSet I c₁ r₁ π₁) (h₂ : l.MemBaseSet I c₂ r₂ π₂) (hU : π₁.iUnion = π₂.iUnion) : ∃ π : Prepartition I, π.iUnion = ↑I \ π₁.iUnion ∧ (l.bDistortion → π.distortion ≤ c₁) ∧ (l.bDistortion → π.distortion ≤ c₂) := by wlog hc : c₁ ≤ c₂ with H · simpa [hU, _root_.and_comm] using @H _ _ I J c c₂ c₁ r r₂ r₁ π π₂ π₁ _ l₂ l₁ h₂ h₁ hU.symm (le_of_not_le hc) by_cases hD : (l.bDistortion : Prop) · rcases h₁.4 hD with ⟨π, hπU, hπc⟩ exact ⟨π, hπU, fun _ => hπc, fun _ => hπc.trans hc⟩ · exact ⟨π₁.toPrepartition.compl, π₁.toPrepartition.iUnion_compl, fun h => (hD h).elim, fun h => (hD h).elim⟩ #align box_integral.integration_params.mem_base_set.exists_common_compl BoxIntegral.IntegrationParams.MemBaseSet.exists_common_compl protected theorem MemBaseSet.unionComplToSubordinate (hπ₁ : l.MemBaseSet I c r₁ π₁) (hle : ∀ x ∈ Box.Icc I, r₂ x ≤ r₁ x) {π₂ : Prepartition I} (hU : π₂.iUnion = ↑I \ π₁.iUnion) (hc : l.bDistortion → π₂.distortion ≤ c) : l.MemBaseSet I c r₁ (π₁.unionComplToSubordinate π₂ hU r₂) := ⟨hπ₁.1.disjUnion ((π₂.isSubordinate_toSubordinate r₂).mono hle) _, fun h => (hπ₁.2 h).disjUnion (π₂.isHenstock_toSubordinate _) _, fun h => (distortion_unionComplToSubordinate _ _ _ _).trans_le (max_le (hπ₁.3 h) (hc h)), fun _ => ⟨⊥, by simp⟩⟩ #align box_integral.integration_params.mem_base_set.union_compl_to_subordinate BoxIntegral.IntegrationParams.MemBaseSet.unionComplToSubordinate protected theorem MemBaseSet.filter (hπ : l.MemBaseSet I c r π) (p : Box ι → Prop) : l.MemBaseSet I c r (π.filter p) := by refine ⟨fun J hJ => hπ.1 J (π.mem_filter.1 hJ).1, fun hH J hJ => hπ.2 hH J (π.mem_filter.1 hJ).1, fun hD => (distortion_filter_le _ _).trans (hπ.3 hD), fun hD => ?_⟩ rcases hπ.4 hD with ⟨π₁, hπ₁U, hc⟩ set π₂ := π.filter fun J => ¬p J have : Disjoint π₁.iUnion π₂.iUnion := by simpa [π₂, hπ₁U] using disjoint_sdiff_self_left.mono_right sdiff_le refine ⟨π₁.disjUnion π₂.toPrepartition this, ?_, ?_⟩ · suffices ↑I \ π.iUnion ∪ π.iUnion \ (π.filter p).iUnion = ↑I \ (π.filter p).iUnion by simp [π₂, *] have h : (π.filter p).iUnion ⊆ π.iUnion := biUnion_subset_biUnion_left (Finset.filter_subset _ _) ext x fconstructor · rintro (⟨hxI, hxπ⟩ | ⟨hxπ, hxp⟩) exacts [⟨hxI, mt (@h x) hxπ⟩, ⟨π.iUnion_subset hxπ, hxp⟩] · rintro ⟨hxI, hxp⟩ by_cases hxπ : x ∈ π.iUnion exacts [Or.inr ⟨hxπ, hxp⟩, Or.inl ⟨hxI, hxπ⟩] · have : (π.filter fun J => ¬p J).distortion ≤ c := (distortion_filter_le _ _).trans (hπ.3 hD) simpa [hc] #align box_integral.integration_params.mem_base_set.filter BoxIntegral.IntegrationParams.MemBaseSet.filter theorem biUnionTagged_memBaseSet {π : Prepartition I} {πi : ∀ J, TaggedPrepartition J} (h : ∀ J ∈ π, l.MemBaseSet J c r (πi J)) (hp : ∀ J ∈ π, (πi J).IsPartition) (hc : l.bDistortion → π.compl.distortion ≤ c) : l.MemBaseSet I c r (π.biUnionTagged πi) := by refine ⟨TaggedPrepartition.isSubordinate_biUnionTagged.2 fun J hJ => (h J hJ).1, fun hH => TaggedPrepartition.isHenstock_biUnionTagged.2 fun J hJ => (h J hJ).2 hH, fun hD => ?_, fun hD => ?_⟩ · rw [Prepartition.distortion_biUnionTagged, Finset.sup_le_iff] exact fun J hJ => (h J hJ).3 hD · refine ⟨_, ?_, hc hD⟩ rw [π.iUnion_compl, ← π.iUnion_biUnion_partition hp] rfl #align box_integral.integration_params.bUnion_tagged_mem_base_set BoxIntegral.IntegrationParams.biUnionTagged_memBaseSet @[mono] theorem RCond.mono {ι : Type*} {r : (ι → ℝ) → Ioi (0 : ℝ)} (h : l₁ ≤ l₂) (hr : l₂.RCond r) : l₁.RCond r := fun hR => hr (le_iff_imp.1 h.1 hR) #align box_integral.integration_params.r_cond.mono BoxIntegral.IntegrationParams.RCond.mono nonrec theorem RCond.min {ι : Type*} {r₁ r₂ : (ι → ℝ) → Ioi (0 : ℝ)} (h₁ : l.RCond r₁) (h₂ : l.RCond r₂) : l.RCond fun x => min (r₁ x) (r₂ x) := fun hR x => congr_arg₂ min (h₁ hR x) (h₂ hR x) #align box_integral.integration_params.r_cond.min BoxIntegral.IntegrationParams.RCond.min @[mono] theorem toFilterDistortion_mono (I : Box ι) (h : l₁ ≤ l₂) (hc : c₁ ≤ c₂) : l₁.toFilterDistortion I c₁ ≤ l₂.toFilterDistortion I c₂ := iInf_mono fun _ => iInf_mono' fun hr => ⟨hr.mono h, principal_mono.2 fun _ => MemBaseSet.mono I h hc fun _ _ => le_rfl⟩ #align box_integral.integration_params.to_filter_distortion_mono BoxIntegral.IntegrationParams.toFilterDistortion_mono @[mono] theorem toFilter_mono (I : Box ι) {l₁ l₂ : IntegrationParams} (h : l₁ ≤ l₂) : l₁.toFilter I ≤ l₂.toFilter I := iSup_mono fun _ => toFilterDistortion_mono I h le_rfl #align box_integral.integration_params.to_filter_mono BoxIntegral.IntegrationParams.toFilter_mono @[mono] theorem toFilteriUnion_mono (I : Box ι) {l₁ l₂ : IntegrationParams} (h : l₁ ≤ l₂) (π₀ : Prepartition I) : l₁.toFilteriUnion I π₀ ≤ l₂.toFilteriUnion I π₀ := iSup_mono fun _ => inf_le_inf_right _ <| toFilterDistortion_mono _ h le_rfl #align box_integral.integration_params.to_filter_Union_mono BoxIntegral.IntegrationParams.toFilteriUnion_mono theorem toFilteriUnion_congr (I : Box ι) (l : IntegrationParams) {π₁ π₂ : Prepartition I} (h : π₁.iUnion = π₂.iUnion) : l.toFilteriUnion I π₁ = l.toFilteriUnion I π₂ := by simp only [toFilteriUnion, toFilterDistortioniUnion, h] #align box_integral.integration_params.to_filter_Union_congr BoxIntegral.IntegrationParams.toFilteriUnion_congr theorem hasBasis_toFilterDistortion (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) : (l.toFilterDistortion I c).HasBasis l.RCond fun r => { π | l.MemBaseSet I c r π } := hasBasis_biInf_principal' (fun _ hr₁ _ hr₂ => ⟨_, hr₁.min hr₂, fun _ => MemBaseSet.mono _ le_rfl le_rfl fun _ _ => min_le_left _ _, fun _ => MemBaseSet.mono _ le_rfl le_rfl fun _ _ => min_le_right _ _⟩) ⟨fun _ => ⟨1, Set.mem_Ioi.2 zero_lt_one⟩, fun _ _ => rfl⟩ #align box_integral.integration_params.has_basis_to_filter_distortion BoxIntegral.IntegrationParams.hasBasis_toFilterDistortion theorem hasBasis_toFilterDistortioniUnion (l : IntegrationParams) (I : Box ι) (c : ℝ≥0) (π₀ : Prepartition I) : (l.toFilterDistortioniUnion I c π₀).HasBasis l.RCond fun r => { π | l.MemBaseSet I c r π ∧ π.iUnion = π₀.iUnion } := (l.hasBasis_toFilterDistortion I c).inf_principal _ #align box_integral.integration_params.has_basis_to_filter_distortion_Union BoxIntegral.IntegrationParams.hasBasis_toFilterDistortioniUnion theorem hasBasis_toFilteriUnion (l : IntegrationParams) (I : Box ι) (π₀ : Prepartition I) : (l.toFilteriUnion I π₀).HasBasis (fun r : ℝ≥0 → (ι → ℝ) → Ioi (0 : ℝ) => ∀ c, l.RCond (r c)) fun r => { π | ∃ c, l.MemBaseSet I c (r c) π ∧ π.iUnion = π₀.iUnion } := by have := fun c => l.hasBasis_toFilterDistortioniUnion I c π₀ simpa only [setOf_and, setOf_exists] using hasBasis_iSup this #align box_integral.integration_params.has_basis_to_filter_Union BoxIntegral.IntegrationParams.hasBasis_toFilteriUnion theorem hasBasis_toFilteriUnion_top (l : IntegrationParams) (I : Box ι) : (l.toFilteriUnion I ⊤).HasBasis (fun r : ℝ≥0 → (ι → ℝ) → Ioi (0 : ℝ) => ∀ c, l.RCond (r c)) fun r => { π | ∃ c, l.MemBaseSet I c (r c) π ∧ π.IsPartition } := by simpa only [TaggedPrepartition.isPartition_iff_iUnion_eq, Prepartition.iUnion_top] using l.hasBasis_toFilteriUnion I ⊤ #align box_integral.integration_params.has_basis_to_filter_Union_top BoxIntegral.IntegrationParams.hasBasis_toFilteriUnion_top theorem hasBasis_toFilter (l : IntegrationParams) (I : Box ι) : (l.toFilter I).HasBasis (fun r : ℝ≥0 → (ι → ℝ) → Ioi (0 : ℝ) => ∀ c, l.RCond (r c)) fun r => { π | ∃ c, l.MemBaseSet I c (r c) π } := by simpa only [setOf_exists] using hasBasis_iSup (l.hasBasis_toFilterDistortion I) #align box_integral.integration_params.has_basis_to_filter BoxIntegral.IntegrationParams.hasBasis_toFilter
Mathlib/Analysis/BoxIntegral/Partition/Filter.lean
505
519
theorem tendsto_embedBox_toFilteriUnion_top (l : IntegrationParams) (h : I ≤ J) : Tendsto (TaggedPrepartition.embedBox I J h) (l.toFilteriUnion I ⊤) (l.toFilteriUnion J (Prepartition.single J I h)) := by
simp only [toFilteriUnion, tendsto_iSup]; intro c set π₀ := Prepartition.single J I h refine le_iSup_of_le (max c π₀.compl.distortion) ?_ refine ((l.hasBasis_toFilterDistortioniUnion I c ⊤).tendsto_iff (l.hasBasis_toFilterDistortioniUnion J _ _)).2 fun r hr => ?_ refine ⟨r, hr, fun π hπ => ?_⟩ rw [mem_setOf_eq, Prepartition.iUnion_top] at hπ refine ⟨⟨hπ.1.1, hπ.1.2, fun hD => le_trans (hπ.1.3 hD) (le_max_left _ _), fun _ => ?_⟩, ?_⟩ · refine ⟨_, π₀.iUnion_compl.trans ?_, le_max_right _ _⟩ congr 1 exact (Prepartition.iUnion_single h).trans hπ.2.symm · exact hπ.2.trans (Prepartition.iUnion_single _).symm
import Mathlib.Data.ULift import Mathlib.Data.ZMod.Defs import Mathlib.SetTheory.Cardinal.PartENat #align_import set_theory.cardinal.finite from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" set_option autoImplicit true open Cardinal Function noncomputable section variable {α β : Type*} namespace Nat protected def card (α : Type*) : ℕ := toNat (mk α) #align nat.card Nat.card @[simp] theorem card_eq_fintype_card [Fintype α] : Nat.card α = Fintype.card α := mk_toNat_eq_card #align nat.card_eq_fintype_card Nat.card_eq_fintype_card theorem _root_.Fintype.card_eq_nat_card {_ : Fintype α} : Fintype.card α = Nat.card α := mk_toNat_eq_card.symm lemma card_eq_finsetCard (s : Finset α) : Nat.card s = s.card := by simp only [Nat.card_eq_fintype_card, Fintype.card_coe] lemma card_eq_card_toFinset (s : Set α) [Fintype s] : Nat.card s = s.toFinset.card := by simp only [← Nat.card_eq_finsetCard, s.mem_toFinset] lemma card_eq_card_finite_toFinset {s : Set α} (hs : s.Finite) : Nat.card s = hs.toFinset.card := by simp only [← Nat.card_eq_finsetCard, hs.mem_toFinset] @[simp] theorem card_of_isEmpty [IsEmpty α] : Nat.card α = 0 := by simp [Nat.card] #align nat.card_of_is_empty Nat.card_of_isEmpty @[simp] lemma card_eq_zero_of_infinite [Infinite α] : Nat.card α = 0 := mk_toNat_of_infinite #align nat.card_eq_zero_of_infinite Nat.card_eq_zero_of_infinite lemma _root_.Set.Infinite.card_eq_zero {s : Set α} (hs : s.Infinite) : Nat.card s = 0 := @card_eq_zero_of_infinite _ hs.to_subtype lemma card_eq_zero : Nat.card α = 0 ↔ IsEmpty α ∨ Infinite α := by simp [Nat.card, mk_eq_zero_iff, aleph0_le_mk_iff] lemma card_ne_zero : Nat.card α ≠ 0 ↔ Nonempty α ∧ Finite α := by simp [card_eq_zero, not_or] lemma card_pos_iff : 0 < Nat.card α ↔ Nonempty α ∧ Finite α := by simp [Nat.card, mk_eq_zero_iff, mk_lt_aleph0_iff] @[simp] lemma card_pos [Nonempty α] [Finite α] : 0 < Nat.card α := card_pos_iff.2 ⟨‹_›, ‹_›⟩ theorem finite_of_card_ne_zero (h : Nat.card α ≠ 0) : Finite α := (card_ne_zero.1 h).2 #align nat.finite_of_card_ne_zero Nat.finite_of_card_ne_zero theorem card_congr (f : α ≃ β) : Nat.card α = Nat.card β := Cardinal.toNat_congr f #align nat.card_congr Nat.card_congr lemma card_le_card_of_injective {α : Type u} {β : Type v} [Finite β] (f : α → β) (hf : Injective f) : Nat.card α ≤ Nat.card β := by simpa using toNat_le_toNat (lift_mk_le_lift_mk_of_injective hf) (by simp [lt_aleph0_of_finite]) lemma card_le_card_of_surjective {α : Type u} {β : Type v} [Finite α] (f : α → β) (hf : Surjective f) : Nat.card β ≤ Nat.card α := by have : lift.{u} #β ≤ lift.{v} #α := mk_le_of_surjective (ULift.map_surjective.2 hf) simpa using toNat_le_toNat this (by simp [lt_aleph0_of_finite]) theorem card_eq_of_bijective (f : α → β) (hf : Function.Bijective f) : Nat.card α = Nat.card β := card_congr (Equiv.ofBijective f hf) #align nat.card_eq_of_bijective Nat.card_eq_of_bijective theorem card_eq_of_equiv_fin {α : Type*} {n : ℕ} (f : α ≃ Fin n) : Nat.card α = n := by simpa only [card_eq_fintype_card, Fintype.card_fin] using card_congr f #align nat.card_eq_of_equiv_fin Nat.card_eq_of_equiv_fin def equivFinOfCardPos {α : Type*} (h : Nat.card α ≠ 0) : α ≃ Fin (Nat.card α) := by cases fintypeOrInfinite α · simpa only [card_eq_fintype_card] using Fintype.equivFin α · simp only [card_eq_zero_of_infinite, ne_eq, not_true_eq_false] at h #align nat.equiv_fin_of_card_pos Nat.equivFinOfCardPos theorem card_of_subsingleton (a : α) [Subsingleton α] : Nat.card α = 1 := by letI := Fintype.ofSubsingleton a rw [card_eq_fintype_card, Fintype.card_ofSubsingleton a] #align nat.card_of_subsingleton Nat.card_of_subsingleton -- @[simp] -- Porting note (#10618): simp can prove this theorem card_unique [Unique α] : Nat.card α = 1 := card_of_subsingleton default #align nat.card_unique Nat.card_unique theorem card_eq_one_iff_unique : Nat.card α = 1 ↔ Subsingleton α ∧ Nonempty α := Cardinal.toNat_eq_one_iff_unique #align nat.card_eq_one_iff_unique Nat.card_eq_one_iff_unique theorem card_eq_two_iff : Nat.card α = 2 ↔ ∃ x y : α, x ≠ y ∧ {x, y} = @Set.univ α := toNat_eq_ofNat.trans mk_eq_two_iff #align nat.card_eq_two_iff Nat.card_eq_two_iff theorem card_eq_two_iff' (x : α) : Nat.card α = 2 ↔ ∃! y, y ≠ x := toNat_eq_ofNat.trans (mk_eq_two_iff' x) #align nat.card_eq_two_iff' Nat.card_eq_two_iff' @[simp] theorem card_sum [Finite α] [Finite β] : Nat.card (α ⊕ β) = Nat.card α + Nat.card β := by have := Fintype.ofFinite α have := Fintype.ofFinite β simp_rw [Nat.card_eq_fintype_card, Fintype.card_sum] @[simp] theorem card_prod (α β : Type*) : Nat.card (α × β) = Nat.card α * Nat.card β := by simp only [Nat.card, mk_prod, toNat_mul, toNat_lift] #align nat.card_prod Nat.card_prod @[simp] theorem card_ulift (α : Type*) : Nat.card (ULift α) = Nat.card α := card_congr Equiv.ulift #align nat.card_ulift Nat.card_ulift @[simp] theorem card_plift (α : Type*) : Nat.card (PLift α) = Nat.card α := card_congr Equiv.plift #align nat.card_plift Nat.card_plift
Mathlib/SetTheory/Cardinal/Finite.lean
187
188
theorem card_pi {β : α → Type*} [Fintype α] : Nat.card (∀ a, β a) = ∏ a, Nat.card (β a) := by
simp_rw [Nat.card, mk_pi, prod_eq_of_fintype, toNat_lift, map_prod]
import Mathlib.Data.Fin.Fin2 import Mathlib.Init.Logic import Mathlib.Mathport.Notation import Mathlib.Tactic.TypeStar #align_import data.vector3 from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042" open Fin2 Nat universe u variable {α : Type*} {m n : ℕ} def Vector3 (α : Type u) (n : ℕ) : Type u := Fin2 n → α #align vector3 Vector3 instance [Inhabited α] : Inhabited (Vector3 α n) where default := fun _ => default namespace Vector3 @[match_pattern] def nil : Vector3 α 0 := nofun #align vector3.nil Vector3.nil @[match_pattern] def cons (a : α) (v : Vector3 α n) : Vector3 α (n + 1) := fun i => by refine i.cases' ?_ ?_ · exact a · exact v #align vector3.cons Vector3.cons section open Lean -- Porting note: was -- scoped notation3 "["(l", "* => foldr (h t => cons h t) nil)"]" => l scoped macro_rules | `([$l,*]) => `(expand_foldr% (h t => cons h t) nil [$(.ofElems l),*]) -- this is copied from `src/Init/NotationExtra.lean` @[app_unexpander Vector3.nil] def unexpandNil : Lean.PrettyPrinter.Unexpander | `($(_)) => `([]) -- this is copied from `src/Init/NotationExtra.lean` @[app_unexpander Vector3.cons] def unexpandCons : Lean.PrettyPrinter.Unexpander | `($(_) $x []) => `([$x]) | `($(_) $x [$xs,*]) => `([$x, $xs,*]) | _ => throw () end -- Overloading the usual `::` notation for `List.cons` with `Vector3.cons`. @[inherit_doc] scoped notation a " :: " b => cons a b @[simp] theorem cons_fz (a : α) (v : Vector3 α n) : (a :: v) fz = a := rfl #align vector3.cons_fz Vector3.cons_fz @[simp] theorem cons_fs (a : α) (v : Vector3 α n) (i) : (a :: v) (fs i) = v i := rfl #align vector3.cons_fs Vector3.cons_fs abbrev nth (i : Fin2 n) (v : Vector3 α n) : α := v i #align vector3.nth Vector3.nth abbrev ofFn (f : Fin2 n → α) : Vector3 α n := f #align vector3.of_fn Vector3.ofFn def head (v : Vector3 α (n + 1)) : α := v fz #align vector3.head Vector3.head def tail (v : Vector3 α (n + 1)) : Vector3 α n := fun i => v (fs i) #align vector3.tail Vector3.tail theorem eq_nil (v : Vector3 α 0) : v = [] := funext fun i => nomatch i #align vector3.eq_nil Vector3.eq_nil theorem cons_head_tail (v : Vector3 α (n + 1)) : (head v :: tail v) = v := funext fun i => Fin2.cases' rfl (fun _ => rfl) i #align vector3.cons_head_tail Vector3.cons_head_tail @[elab_as_elim] -- Porting note: add `elab_as_elim` def nilElim {C : Vector3 α 0 → Sort u} (H : C []) (v : Vector3 α 0) : C v := by rw [eq_nil v]; apply H #align vector3.nil_elim Vector3.nilElim @[elab_as_elim] -- Porting note: add `elab_as_elim` def consElim {C : Vector3 α (n + 1) → Sort u} (H : ∀ (a : α) (t : Vector3 α n), C (a :: t)) (v : Vector3 α (n + 1)) : C v := by rw [← cons_head_tail v]; apply H #align vector3.cons_elim Vector3.consElim @[simp] theorem consElim_cons {C H a t} : @consElim α n C H (a :: t) = H a t := rfl #align vector3.cons_elim_cons Vector3.consElim_cons @[elab_as_elim] protected def recOn {C : ∀ {n}, Vector3 α n → Sort u} {n} (v : Vector3 α n) (H0 : C []) (Hs : ∀ {n} (a) (w : Vector3 α n), C w → C (a :: w)) : C v := match n with | 0 => v.nilElim H0 | _ + 1 => v.consElim fun a t => Hs a t (Vector3.recOn t H0 Hs) #align vector3.rec_on Vector3.recOn @[simp] theorem recOn_nil {C H0 Hs} : @Vector3.recOn α (@C) 0 [] H0 @Hs = H0 := rfl #align vector3.rec_on_nil Vector3.recOn_nil @[simp] theorem recOn_cons {C H0 Hs n a v} : @Vector3.recOn α (@C) (n + 1) (a :: v) H0 @Hs = Hs a v (@Vector3.recOn α (@C) n v H0 @Hs) := rfl #align vector3.rec_on_cons Vector3.recOn_cons def append (v : Vector3 α m) (w : Vector3 α n) : Vector3 α (n + m) := v.recOn w (fun a _ IH => a :: IH) #align vector3.append Vector3.append local infixl:65 " +-+ " => Vector3.append @[simp] theorem append_nil (w : Vector3 α n) : [] +-+ w = w := rfl #align vector3.append_nil Vector3.append_nil @[simp] theorem append_cons (a : α) (v : Vector3 α m) (w : Vector3 α n) : (a :: v) +-+ w = a :: v +-+ w := rfl #align vector3.append_cons Vector3.append_cons @[simp] theorem append_left : ∀ {m} (i : Fin2 m) (v : Vector3 α m) {n} (w : Vector3 α n), (v +-+ w) (left n i) = v i | _, @fz m, v, n, w => v.consElim fun a _t => by simp [*, left] | _, @fs m i, v, n, w => v.consElim fun _a t => by simp [append_left, left] #align vector3.append_left Vector3.append_left @[simp] theorem append_add : ∀ {m} (v : Vector3 α m) {n} (w : Vector3 α n) (i : Fin2 n), (v +-+ w) (add i m) = w i | 0, v, n, w, i => rfl | m + 1, v, n, w, i => v.consElim fun _a t => by simp [append_add, add] #align vector3.append_add Vector3.append_add def insert (a : α) (v : Vector3 α n) (i : Fin2 (n + 1)) : Vector3 α (n + 1) := fun j => (a :: v) (insertPerm i j) #align vector3.insert Vector3.insert @[simp] theorem insert_fz (a : α) (v : Vector3 α n) : insert a v fz = a :: v := by refine funext fun j => j.cases' ?_ ?_ <;> intros <;> rfl #align vector3.insert_fz Vector3.insert_fz @[simp] theorem insert_fs (a : α) (b : α) (v : Vector3 α n) (i : Fin2 (n + 1)) : insert a (b :: v) (fs i) = b :: insert a v i := funext fun j => by refine j.cases' ?_ fun j => ?_ <;> simp [insert, insertPerm] refine Fin2.cases' ?_ ?_ (insertPerm i j) <;> simp [insertPerm] #align vector3.insert_fs Vector3.insert_fs
Mathlib/Data/Vector3.lean
201
215
theorem append_insert (a : α) (t : Vector3 α m) (v : Vector3 α n) (i : Fin2 (n + 1)) (e : (n + 1) + m = (n + m) + 1) : insert a (t +-+ v) (Eq.recOn e (i.add m)) = Eq.recOn e (t +-+ insert a v i) := by
refine Vector3.recOn t (fun e => ?_) (@fun k b t IH _ => ?_) e · rfl have e' : (n + 1) + k = (n + k) + 1 := by omega change insert a (b :: t +-+ v) (Eq.recOn (congr_arg (· + 1) e' : _ + 1 = _) (fs (add i k))) = Eq.recOn (congr_arg (· + 1) e' : _ + 1 = _) (b :: t +-+ insert a v i) rw [← (Eq.recOn e' rfl : fs (Eq.recOn e' (i.add k) : Fin2 ((n + k) + 1)) = Eq.recOn (congr_arg (· + 1) e' : _ + 1 = _) (fs (i.add k)))] simp; rw [IH]; exact Eq.recOn e' rfl
import Mathlib.Algebra.CharP.Invertible import Mathlib.Algebra.Order.Invertible import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Algebra.Order.Group.Instances import Mathlib.LinearAlgebra.AffineSpace.Slope import Mathlib.LinearAlgebra.AffineSpace.Midpoint import Mathlib.Tactic.FieldSimp #align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733" open AffineMap variable {k E PE : Type*} section OrderedRing variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E] variable {a a' b b' : E} {r r' : k} theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by simp only [lineMap_apply_module] exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _ #align line_map_mono_left lineMap_mono_left theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by simp only [lineMap_apply_module] exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _ #align line_map_strict_mono_left lineMap_strict_mono_left theorem lineMap_mono_right (hb : b ≤ b') (hr : 0 ≤ r) : lineMap a b r ≤ lineMap a b' r := by simp only [lineMap_apply_module] exact add_le_add_left (smul_le_smul_of_nonneg_left hb hr) _ #align line_map_mono_right lineMap_mono_right theorem lineMap_strict_mono_right (hb : b < b') (hr : 0 < r) : lineMap a b r < lineMap a b' r := by simp only [lineMap_apply_module] exact add_lt_add_left (smul_lt_smul_of_pos_left hb hr) _ #align line_map_strict_mono_right lineMap_strict_mono_right theorem lineMap_mono_endpoints (ha : a ≤ a') (hb : b ≤ b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) : lineMap a b r ≤ lineMap a' b' r := (lineMap_mono_left ha h₁).trans (lineMap_mono_right hb h₀) #align line_map_mono_endpoints lineMap_mono_endpoints
Mathlib/LinearAlgebra/AffineSpace/Ordered.lean
77
80
theorem lineMap_strict_mono_endpoints (ha : a < a') (hb : b < b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) : lineMap a b r < lineMap a' b' r := by
rcases h₀.eq_or_lt with (rfl | h₀); · simpa exact (lineMap_mono_left ha.le h₁).trans_lt (lineMap_strict_mono_right hb h₀)
import Mathlib.Data.List.Nodup #align_import data.prod.tprod from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" open List Function universe u v variable {ι : Type u} {α : ι → Type v} {i j : ι} {l : List ι} {f : ∀ i, α i} namespace List variable (α) abbrev TProd (l : List ι) : Type v := l.foldr (fun i β => α i × β) PUnit #align list.tprod List.TProd variable {α} namespace TProd open List protected def mk : ∀ (l : List ι) (_f : ∀ i, α i), TProd α l | [] => fun _ => PUnit.unit | i :: is => fun f => (f i, TProd.mk is f) #align list.tprod.mk List.TProd.mk instance [∀ i, Inhabited (α i)] : Inhabited (TProd α l) := ⟨TProd.mk l default⟩ @[simp] theorem fst_mk (i : ι) (l : List ι) (f : ∀ i, α i) : (TProd.mk (i :: l) f).1 = f i := rfl #align list.tprod.fst_mk List.TProd.fst_mk @[simp] theorem snd_mk (i : ι) (l : List ι) (f : ∀ i, α i) : (TProd.mk.{u,v} (i :: l) f).2 = TProd.mk.{u,v} l f := rfl #align list.tprod.snd_mk List.TProd.snd_mk variable [DecidableEq ι] protected def elim : ∀ {l : List ι} (_ : TProd α l) {i : ι} (_ : i ∈ l), α i | i :: is, v, j, hj => if hji : j = i then by subst hji exact v.1 else TProd.elim v.2 ((List.mem_cons.mp hj).resolve_left hji) #align list.tprod.elim List.TProd.elim @[simp] theorem elim_self (v : TProd α (i :: l)) : v.elim (l.mem_cons_self i) = v.1 := by simp [TProd.elim] #align list.tprod.elim_self List.TProd.elim_self @[simp]
Mathlib/Data/Prod/TProd.lean
94
95
theorem elim_of_ne (hj : j ∈ i :: l) (hji : j ≠ i) (v : TProd α (i :: l)) : v.elim hj = TProd.elim v.2 ((List.mem_cons.mp hj).resolve_left hji) := by
simp [TProd.elim, hji]
import Mathlib.Algebra.CharZero.Lemmas import Mathlib.Order.Interval.Finset.Basic #align_import data.int.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" open Finset Int namespace Int instance instLocallyFiniteOrder : LocallyFiniteOrder ℤ where finsetIcc a b := (Finset.range (b + 1 - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding a finsetIco a b := (Finset.range (b - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding a finsetIoc a b := (Finset.range (b - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding (a + 1) finsetIoo a b := (Finset.range (b - a - 1).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding (a + 1) finset_mem_Icc a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ rw [lt_sub_iff_add_lt, Int.lt_add_one_iff, add_comm] at h exact ⟨Int.le.intro a rfl, h⟩ · rintro ⟨ha, hb⟩ use (x - a).toNat rw [← lt_add_one_iff] at hb rw [toNat_sub_of_le ha] exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩ finset_mem_Ico a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ exact ⟨Int.le.intro a rfl, lt_sub_iff_add_lt'.mp h⟩ · rintro ⟨ha, hb⟩ use (x - a).toNat rw [toNat_sub_of_le ha] exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩ finset_mem_Ioc a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ rw [← add_one_le_iff, le_sub_iff_add_le', add_comm _ (1 : ℤ), ← add_assoc] at h exact ⟨Int.le.intro a rfl, h⟩ · rintro ⟨ha, hb⟩ use (x - (a + 1)).toNat rw [toNat_sub_of_le ha, ← add_one_le_iff, sub_add, add_sub_cancel_right] exact ⟨sub_le_sub_right hb _, add_sub_cancel _ _⟩ finset_mem_Ioo a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ rw [sub_sub, lt_sub_iff_add_lt'] at h exact ⟨Int.le.intro a rfl, h⟩ · rintro ⟨ha, hb⟩ use (x - (a + 1)).toNat rw [toNat_sub_of_le ha, sub_sub] exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩ variable (a b : ℤ) theorem Icc_eq_finset_map : Icc a b = (Finset.range (b + 1 - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding a) := rfl #align int.Icc_eq_finset_map Int.Icc_eq_finset_map theorem Ico_eq_finset_map : Ico a b = (Finset.range (b - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding a) := rfl #align int.Ico_eq_finset_map Int.Ico_eq_finset_map theorem Ioc_eq_finset_map : Ioc a b = (Finset.range (b - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)) := rfl #align int.Ioc_eq_finset_map Int.Ioc_eq_finset_map theorem Ioo_eq_finset_map : Ioo a b = (Finset.range (b - a - 1).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)) := rfl #align int.Ioo_eq_finset_map Int.Ioo_eq_finset_map theorem uIcc_eq_finset_map : uIcc a b = (range (max a b + 1 - min a b).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding <| min a b) := rfl #align int.uIcc_eq_finset_map Int.uIcc_eq_finset_map @[simp] theorem card_Icc : (Icc a b).card = (b + 1 - a).toNat := (card_map _).trans <| card_range _ #align int.card_Icc Int.card_Icc @[simp] theorem card_Ico : (Ico a b).card = (b - a).toNat := (card_map _).trans <| card_range _ #align int.card_Ico Int.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = (b - a).toNat := (card_map _).trans <| card_range _ #align int.card_Ioc Int.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = (b - a - 1).toNat := (card_map _).trans <| card_range _ #align int.card_Ioo Int.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a).natAbs + 1 := (card_map _).trans <| Int.ofNat.inj <| by -- Porting note (#11215): TODO: Restore `int.coe_nat_inj` and remove the `change` change ((↑) : ℕ → ℤ) _ = ((↑) : ℕ → ℤ) _ rw [card_range, sup_eq_max, inf_eq_min, Int.toNat_of_nonneg (sub_nonneg_of_le <| le_add_one min_le_max), Int.ofNat_add, Int.natCast_natAbs, add_comm, add_sub_assoc, max_sub_min_eq_abs, add_comm, Int.ofNat_one] #align int.card_uIcc Int.card_uIcc theorem card_Icc_of_le (h : a ≤ b + 1) : ((Icc a b).card : ℤ) = b + 1 - a := by rw [card_Icc, toNat_sub_of_le h] #align int.card_Icc_of_le Int.card_Icc_of_le theorem card_Ico_of_le (h : a ≤ b) : ((Ico a b).card : ℤ) = b - a := by rw [card_Ico, toNat_sub_of_le h] #align int.card_Ico_of_le Int.card_Ico_of_le theorem card_Ioc_of_le (h : a ≤ b) : ((Ioc a b).card : ℤ) = b - a := by rw [card_Ioc, toNat_sub_of_le h] #align int.card_Ioc_of_le Int.card_Ioc_of_le theorem card_Ioo_of_lt (h : a < b) : ((Ioo a b).card : ℤ) = b - a - 1 := by rw [card_Ioo, sub_sub, toNat_sub_of_le h] #align int.card_Ioo_of_lt Int.card_Ioo_of_lt -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it theorem card_fintype_Icc : Fintype.card (Set.Icc a b) = (b + 1 - a).toNat := by rw [← card_Icc, Fintype.card_ofFinset] #align int.card_fintype_Icc Int.card_fintype_Icc -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it theorem card_fintype_Ico : Fintype.card (Set.Ico a b) = (b - a).toNat := by rw [← card_Ico, Fintype.card_ofFinset] #align int.card_fintype_Ico Int.card_fintype_Ico -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it
Mathlib/Data/Int/Interval.lean
160
161
theorem card_fintype_Ioc : Fintype.card (Set.Ioc a b) = (b - a).toNat := by
rw [← card_Ioc, Fintype.card_ofFinset]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} namespace ContinuousLinearMap variable {B : E →L[𝕜] F →L[𝕜] G} {u : 𝕜 → E} {v : 𝕜 → F} {u' : E} {v' : F} theorem hasDerivWithinAt_of_bilinear (hu : HasDerivWithinAt u u' s x) (hv : HasDerivWithinAt v v' s x) : HasDerivWithinAt (fun x ↦ B (u x) (v x)) (B (u x) v' + B u' (v x)) s x := by simpa using (B.hasFDerivWithinAt_of_bilinear hu.hasFDerivWithinAt hv.hasFDerivWithinAt).hasDerivWithinAt
Mathlib/Analysis/Calculus/Deriv/Mul.lean
58
60
theorem hasDerivAt_of_bilinear (hu : HasDerivAt u u' x) (hv : HasDerivAt v v' x) : HasDerivAt (fun x ↦ B (u x) (v x)) (B (u x) v' + B u' (v x)) x := by
simpa using (B.hasFDerivAt_of_bilinear hu.hasFDerivAt hv.hasFDerivAt).hasDerivAt
import Mathlib.Order.Interval.Set.Image import Mathlib.Order.CompleteLatticeIntervals import Mathlib.Topology.Order.DenselyOrdered import Mathlib.Topology.Order.Monotone #align_import topology.algebra.order.intermediate_value from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Filter OrderDual TopologicalSpace Function Set open Topology Filter universe u v w section variable {X : Type u} {α : Type v} [TopologicalSpace X] [LinearOrder α] [TopologicalSpace α] [OrderClosedTopology α] theorem intermediate_value_univ₂ [PreconnectedSpace X] {a b : X} {f g : X → α} (hf : Continuous f) (hg : Continuous g) (ha : f a ≤ g a) (hb : g b ≤ f b) : ∃ x, f x = g x := by obtain ⟨x, _, hfg, hgf⟩ : (univ ∩ { x | f x ≤ g x ∧ g x ≤ f x }).Nonempty := isPreconnected_closed_iff.1 PreconnectedSpace.isPreconnected_univ _ _ (isClosed_le hf hg) (isClosed_le hg hf) (fun _ _ => le_total _ _) ⟨a, trivial, ha⟩ ⟨b, trivial, hb⟩ exact ⟨x, le_antisymm hfg hgf⟩ #align intermediate_value_univ₂ intermediate_value_univ₂ theorem intermediate_value_univ₂_eventually₁ [PreconnectedSpace X] {a : X} {l : Filter X} [NeBot l] {f g : X → α} (hf : Continuous f) (hg : Continuous g) (ha : f a ≤ g a) (he : g ≤ᶠ[l] f) : ∃ x, f x = g x := let ⟨_, h⟩ := he.exists; intermediate_value_univ₂ hf hg ha h #align intermediate_value_univ₂_eventually₁ intermediate_value_univ₂_eventually₁ theorem intermediate_value_univ₂_eventually₂ [PreconnectedSpace X] {l₁ l₂ : Filter X} [NeBot l₁] [NeBot l₂] {f g : X → α} (hf : Continuous f) (hg : Continuous g) (he₁ : f ≤ᶠ[l₁] g) (he₂ : g ≤ᶠ[l₂] f) : ∃ x, f x = g x := let ⟨_, h₁⟩ := he₁.exists let ⟨_, h₂⟩ := he₂.exists intermediate_value_univ₂ hf hg h₁ h₂ #align intermediate_value_univ₂_eventually₂ intermediate_value_univ₂_eventually₂ theorem IsPreconnected.intermediate_value₂ {s : Set X} (hs : IsPreconnected s) {a b : X} (ha : a ∈ s) (hb : b ∈ s) {f g : X → α} (hf : ContinuousOn f s) (hg : ContinuousOn g s) (ha' : f a ≤ g a) (hb' : g b ≤ f b) : ∃ x ∈ s, f x = g x := let ⟨x, hx⟩ := @intermediate_value_univ₂ s α _ _ _ _ (Subtype.preconnectedSpace hs) ⟨a, ha⟩ ⟨b, hb⟩ _ _ (continuousOn_iff_continuous_restrict.1 hf) (continuousOn_iff_continuous_restrict.1 hg) ha' hb' ⟨x, x.2, hx⟩ #align is_preconnected.intermediate_value₂ IsPreconnected.intermediate_value₂ theorem IsPreconnected.intermediate_value₂_eventually₁ {s : Set X} (hs : IsPreconnected s) {a : X} {l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f g : X → α} (hf : ContinuousOn f s) (hg : ContinuousOn g s) (ha' : f a ≤ g a) (he : g ≤ᶠ[l] f) : ∃ x ∈ s, f x = g x := by rw [continuousOn_iff_continuous_restrict] at hf hg obtain ⟨b, h⟩ := @intermediate_value_univ₂_eventually₁ _ _ _ _ _ _ (Subtype.preconnectedSpace hs) ⟨a, ha⟩ _ (comap_coe_neBot_of_le_principal hl) _ _ hf hg ha' (he.comap _) exact ⟨b, b.prop, h⟩ #align is_preconnected.intermediate_value₂_eventually₁ IsPreconnected.intermediate_value₂_eventually₁
Mathlib/Topology/Order/IntermediateValue.lean
115
124
theorem IsPreconnected.intermediate_value₂_eventually₂ {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X} [NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f g : X → α} (hf : ContinuousOn f s) (hg : ContinuousOn g s) (he₁ : f ≤ᶠ[l₁] g) (he₂ : g ≤ᶠ[l₂] f) : ∃ x ∈ s, f x = g x := by
rw [continuousOn_iff_continuous_restrict] at hf hg obtain ⟨b, h⟩ := @intermediate_value_univ₂_eventually₂ _ _ _ _ _ _ (Subtype.preconnectedSpace hs) _ _ (comap_coe_neBot_of_le_principal hl₁) (comap_coe_neBot_of_le_principal hl₂) _ _ hf hg (he₁.comap _) (he₂.comap _) exact ⟨b, b.prop, h⟩
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Data.Finite.Card #align_import group_theory.subgroup.finite from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6" variable {G : Type*} [Group G] variable {A : Type*} [AddGroup A] namespace Subgroup section Pi open Set variable {η : Type*} {f : η → Type*} [∀ i, Group (f i)] @[to_additive]
Mathlib/Algebra/Group/Subgroup/Finite.lean
195
226
theorem pi_mem_of_mulSingle_mem_aux [DecidableEq η] (I : Finset η) {H : Subgroup (∀ i, f i)} (x : ∀ i, f i) (h1 : ∀ i, i ∉ I → x i = 1) (h2 : ∀ i, i ∈ I → Pi.mulSingle i (x i) ∈ H) : x ∈ H := by
induction' I using Finset.induction_on with i I hnmem ih generalizing x · convert one_mem H ext i exact h1 i (Finset.not_mem_empty i) · have : x = Function.update x i 1 * Pi.mulSingle i (x i) := by ext j by_cases heq : j = i · subst heq simp · simp [heq] rw [this] clear this apply mul_mem · apply ih <;> clear ih · intro j hj by_cases heq : j = i · subst heq simp · simp [heq] apply h1 j simpa [heq] using hj · intro j hj have : j ≠ i := by rintro rfl contradiction simp only [ne_eq, this, not_false_eq_true, Function.update_noteq] exact h2 _ (Finset.mem_insert_of_mem hj) · apply h2 simp
import Mathlib.SetTheory.Ordinal.Arithmetic import Mathlib.SetTheory.Ordinal.Exponential #align_import set_theory.ordinal.cantor_normal_form from "leanprover-community/mathlib"@"991ff3b5269848f6dd942ae8e9dd3c946035dc8b" noncomputable section universe u open List namespace Ordinal @[elab_as_elim] noncomputable def CNFRec (b : Ordinal) {C : Ordinal → Sort*} (H0 : C 0) (H : ∀ o, o ≠ 0 → C (o % b ^ log b o) → C o) : ∀ o, C o := fun o ↦ by by_cases h : o = 0 · rw [h]; exact H0 · exact H o h (CNFRec _ H0 H (o % b ^ log b o)) termination_by o => o decreasing_by exact mod_opow_log_lt_self b h set_option linter.uppercaseLean3 false in #align ordinal.CNF_rec Ordinal.CNFRec @[simp] theorem CNFRec_zero {C : Ordinal → Sort*} (b : Ordinal) (H0 : C 0) (H : ∀ o, o ≠ 0 → C (o % b ^ log b o) → C o) : @CNFRec b C H0 H 0 = H0 := by rw [CNFRec, dif_pos rfl] rfl set_option linter.uppercaseLean3 false in #align ordinal.CNF_rec_zero Ordinal.CNFRec_zero theorem CNFRec_pos (b : Ordinal) {o : Ordinal} {C : Ordinal → Sort*} (ho : o ≠ 0) (H0 : C 0) (H : ∀ o, o ≠ 0 → C (o % b ^ log b o) → C o) : @CNFRec b C H0 H o = H o ho (@CNFRec b C H0 H _) := by rw [CNFRec, dif_neg ho] set_option linter.uppercaseLean3 false in #align ordinal.CNF_rec_pos Ordinal.CNFRec_pos -- Porting note: unknown attribute @[pp_nodot] def CNF (b o : Ordinal) : List (Ordinal × Ordinal) := CNFRec b [] (fun o _ho IH ↦ (log b o, o / b ^ log b o)::IH) o set_option linter.uppercaseLean3 false in #align ordinal.CNF Ordinal.CNF @[simp] theorem CNF_zero (b : Ordinal) : CNF b 0 = [] := CNFRec_zero b _ _ set_option linter.uppercaseLean3 false in #align ordinal.CNF_zero Ordinal.CNF_zero theorem CNF_ne_zero {b o : Ordinal} (ho : o ≠ 0) : CNF b o = (log b o, o / b ^ log b o)::CNF b (o % b ^ log b o) := CNFRec_pos b ho _ _ set_option linter.uppercaseLean3 false in #align ordinal.CNF_ne_zero Ordinal.CNF_ne_zero
Mathlib/SetTheory/Ordinal/CantorNormalForm.lean
93
93
theorem zero_CNF {o : Ordinal} (ho : o ≠ 0) : CNF 0 o = [⟨0, o⟩] := by
simp [CNF_ne_zero ho]
import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.Tactic.FieldSimp #align_import linear_algebra.affine_space.slope from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open AffineMap variable {k E PE : Type*} [Field k] [AddCommGroup E] [Module k E] [AddTorsor E PE] def slope (f : k → PE) (a b : k) : E := (b - a)⁻¹ • (f b -ᵥ f a) #align slope slope theorem slope_fun_def (f : k → PE) : slope f = fun a b => (b - a)⁻¹ • (f b -ᵥ f a) := rfl #align slope_fun_def slope_fun_def theorem slope_def_field (f : k → k) (a b : k) : slope f a b = (f b - f a) / (b - a) := (div_eq_inv_mul _ _).symm #align slope_def_field slope_def_field theorem slope_fun_def_field (f : k → k) (a : k) : slope f a = fun b => (f b - f a) / (b - a) := (div_eq_inv_mul _ _).symm #align slope_fun_def_field slope_fun_def_field @[simp] theorem slope_same (f : k → PE) (a : k) : (slope f a a : E) = 0 := by rw [slope, sub_self, inv_zero, zero_smul] #align slope_same slope_same theorem slope_def_module (f : k → E) (a b : k) : slope f a b = (b - a)⁻¹ • (f b - f a) := rfl #align slope_def_module slope_def_module @[simp] theorem sub_smul_slope (f : k → PE) (a b : k) : (b - a) • slope f a b = f b -ᵥ f a := by rcases eq_or_ne a b with (rfl | hne) · rw [sub_self, zero_smul, vsub_self] · rw [slope, smul_inv_smul₀ (sub_ne_zero.2 hne.symm)] #align sub_smul_slope sub_smul_slope theorem sub_smul_slope_vadd (f : k → PE) (a b : k) : (b - a) • slope f a b +ᵥ f a = f b := by rw [sub_smul_slope, vsub_vadd] #align sub_smul_slope_vadd sub_smul_slope_vadd @[simp]
Mathlib/LinearAlgebra/AffineSpace/Slope.lean
67
69
theorem slope_vadd_const (f : k → E) (c : PE) : (slope fun x => f x +ᵥ c) = slope f := by
ext a b simp only [slope, vadd_vsub_vadd_cancel_right, vsub_eq_sub]
import Mathlib.Algebra.Group.ConjFinite import Mathlib.GroupTheory.Abelianization import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.GroupAction.Quotient import Mathlib.GroupTheory.Index import Mathlib.GroupTheory.SpecificGroups.Dihedral import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.LinearCombination import Mathlib.Tactic.Qify #align_import group_theory.commuting_probability from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" noncomputable section open scoped Classical open Fintype variable (M : Type*) [Mul M] def commProb : ℚ := Nat.card { p : M × M // Commute p.1 p.2 } / (Nat.card M : ℚ) ^ 2 #align comm_prob commProb theorem commProb_def : commProb M = Nat.card { p : M × M // Commute p.1 p.2 } / (Nat.card M : ℚ) ^ 2 := rfl #align comm_prob_def commProb_def theorem commProb_prod (M' : Type*) [Mul M'] : commProb (M × M') = commProb M * commProb M' := by simp_rw [commProb_def, div_mul_div_comm, Nat.card_prod, Nat.cast_mul, mul_pow, ← Nat.cast_mul, ← Nat.card_prod, Commute, SemiconjBy, Prod.ext_iff] congr 2 exact Nat.card_congr ⟨fun x => ⟨⟨⟨x.1.1.1, x.1.2.1⟩, x.2.1⟩, ⟨⟨x.1.1.2, x.1.2.2⟩, x.2.2⟩⟩, fun x => ⟨⟨⟨x.1.1.1, x.2.1.1⟩, ⟨x.1.1.2, x.2.1.2⟩⟩, ⟨x.1.2, x.2.2⟩⟩, fun x => rfl, fun x => rfl⟩ theorem commProb_pi {α : Type*} (i : α → Type*) [Fintype α] [∀ a, Mul (i a)] : commProb (∀ a, i a) = ∏ a, commProb (i a) := by simp_rw [commProb_def, Finset.prod_div_distrib, Finset.prod_pow, ← Nat.cast_prod, ← Nat.card_pi, Commute, SemiconjBy, Function.funext_iff] congr 2 exact Nat.card_congr ⟨fun x a => ⟨⟨x.1.1 a, x.1.2 a⟩, x.2 a⟩, fun x => ⟨⟨fun a => (x a).1.1, fun a => (x a).1.2⟩, fun a => (x a).2⟩, fun x => rfl, fun x => rfl⟩ theorem commProb_function {α β : Type*} [Fintype α] [Mul β] : commProb (α → β) = (commProb β) ^ Fintype.card α := by rw [commProb_pi, Finset.prod_const, Finset.card_univ] @[simp] theorem commProb_eq_zero_of_infinite [Infinite M] : commProb M = 0 := div_eq_zero_iff.2 (Or.inl (Nat.cast_eq_zero.2 Nat.card_eq_zero_of_infinite)) variable [Finite M] theorem commProb_pos [h : Nonempty M] : 0 < commProb M := h.elim fun x ↦ div_pos (Nat.cast_pos.mpr (Finite.card_pos_iff.mpr ⟨⟨(x, x), rfl⟩⟩)) (pow_pos (Nat.cast_pos.mpr Finite.card_pos) 2) #align comm_prob_pos commProb_pos theorem commProb_le_one : commProb M ≤ 1 := by refine div_le_one_of_le ?_ (sq_nonneg (Nat.card M : ℚ)) rw [← Nat.cast_pow, Nat.cast_le, sq, ← Nat.card_prod] apply Finite.card_subtype_le #align comm_prob_le_one commProb_le_one variable {M} theorem commProb_eq_one_iff [h : Nonempty M] : commProb M = 1 ↔ Commutative ((· * ·) : M → M → M) := by haveI := Fintype.ofFinite M rw [commProb, ← Set.coe_setOf, Nat.card_eq_fintype_card, Nat.card_eq_fintype_card] rw [div_eq_one_iff_eq, ← Nat.cast_pow, Nat.cast_inj, sq, ← card_prod, set_fintype_card_eq_univ_iff, Set.eq_univ_iff_forall] · exact ⟨fun h x y ↦ h (x, y), fun h x ↦ h x.1 x.2⟩ · exact pow_ne_zero 2 (Nat.cast_ne_zero.mpr card_ne_zero) #align comm_prob_eq_one_iff commProb_eq_one_iff variable (G : Type*) [Group G] theorem commProb_def' : commProb G = Nat.card (ConjClasses G) / Nat.card G := by rw [commProb, card_comm_eq_card_conjClasses_mul_card, Nat.cast_mul, sq] by_cases h : (Nat.card G : ℚ) = 0 · rw [h, zero_mul, div_zero, div_zero] · exact mul_div_mul_right _ _ h #align comm_prob_def' commProb_def' variable {G} variable [Finite G] (H : Subgroup G) theorem Subgroup.commProb_subgroup_le : commProb H ≤ commProb G * (H.index : ℚ) ^ 2 := by rw [commProb_def, commProb_def, div_le_iff, mul_assoc, ← mul_pow, ← Nat.cast_mul, mul_comm H.index, H.card_mul_index, div_mul_cancel₀, Nat.cast_le] · refine Finite.card_le_of_injective (fun p ↦ ⟨⟨p.1.1, p.1.2⟩, Subtype.ext_iff.mp p.2⟩) ?_ exact fun p q h ↦ by simpa only [Subtype.ext_iff, Prod.ext_iff] using h · exact pow_ne_zero 2 (Nat.cast_ne_zero.mpr Finite.card_pos.ne') · exact pow_pos (Nat.cast_pos.mpr Finite.card_pos) 2 #align subgroup.comm_prob_subgroup_le Subgroup.commProb_subgroup_le
Mathlib/GroupTheory/CommutingProbability.lean
119
128
theorem Subgroup.commProb_quotient_le [H.Normal] : commProb (G ⧸ H) ≤ commProb G * Nat.card H := by
/- After rewriting with `commProb_def'`, we reduce to showing that `G` has at least as many conjugacy classes as `G ⧸ H`. -/ rw [commProb_def', commProb_def', div_le_iff, mul_assoc, ← Nat.cast_mul, ← Subgroup.index, H.card_mul_index, div_mul_cancel₀, Nat.cast_le] · apply Finite.card_le_of_surjective show Function.Surjective (ConjClasses.map (QuotientGroup.mk' H)) exact ConjClasses.map_surjective Quotient.surjective_Quotient_mk'' · exact Nat.cast_ne_zero.mpr Finite.card_pos.ne' · exact Nat.cast_pos.mpr Finite.card_pos
import Mathlib.Data.Finset.Prod import Mathlib.Data.Set.Finite #align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0" open Function Set variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} namespace Finset variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ] [DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ} {s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ} def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ := (s ×ˢ t).image <| uncurry f #align finset.image₂ Finset.image₂ @[simp] theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by simp [image₂, and_assoc] #align finset.mem_image₂ Finset.mem_image₂ @[simp, norm_cast] theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : (image₂ f s t : Set γ) = Set.image2 f s t := Set.ext fun _ => mem_image₂ #align finset.coe_image₂ Finset.coe_image₂ theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) : (image₂ f s t).card ≤ s.card * t.card := card_image_le.trans_eq <| card_product _ _ #align finset.card_image₂_le Finset.card_image₂_le
Mathlib/Data/Finset/NAry.lean
58
61
theorem card_image₂_iff : (image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product] exact card_image_iff
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Field.Rat import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Field.Rat import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.lym from "leanprover-community/mathlib"@"861a26926586cd46ff80264d121cdb6fa0e35cc1" open Finset Nat open FinsetFamily variable {𝕜 α : Type*} [LinearOrderedField 𝕜] namespace Finset section LYM section Falling variable [DecidableEq α] (k : ℕ) (𝒜 : Finset (Finset α)) def falling : Finset (Finset α) := 𝒜.sup <| powersetCard k #align finset.falling Finset.falling variable {𝒜 k} {s : Finset α} theorem mem_falling : s ∈ falling k 𝒜 ↔ (∃ t ∈ 𝒜, s ⊆ t) ∧ s.card = k := by simp_rw [falling, mem_sup, mem_powersetCard] aesop #align finset.mem_falling Finset.mem_falling variable (𝒜 k) theorem sized_falling : (falling k 𝒜 : Set (Finset α)).Sized k := fun _ hs => (mem_falling.1 hs).2 #align finset.sized_falling Finset.sized_falling theorem slice_subset_falling : 𝒜 # k ⊆ falling k 𝒜 := fun s hs => mem_falling.2 <| (mem_slice.1 hs).imp_left fun h => ⟨s, h, Subset.refl _⟩ #align finset.slice_subset_falling Finset.slice_subset_falling theorem falling_zero_subset : falling 0 𝒜 ⊆ {∅} := subset_singleton_iff'.2 fun _ ht => card_eq_zero.1 <| sized_falling _ _ ht #align finset.falling_zero_subset Finset.falling_zero_subset
Mathlib/Combinatorics/SetFamily/LYM.lean
149
163
theorem slice_union_shadow_falling_succ : 𝒜 # k ∪ ∂ (falling (k + 1) 𝒜) = falling k 𝒜 := by
ext s simp_rw [mem_union, mem_slice, mem_shadow_iff, mem_falling] constructor · rintro (h | ⟨s, ⟨⟨t, ht, hst⟩, hs⟩, a, ha, rfl⟩) · exact ⟨⟨s, h.1, Subset.refl _⟩, h.2⟩ refine ⟨⟨t, ht, (erase_subset _ _).trans hst⟩, ?_⟩ rw [card_erase_of_mem ha, hs] rfl · rintro ⟨⟨t, ht, hst⟩, hs⟩ by_cases h : s ∈ 𝒜 · exact Or.inl ⟨h, hs⟩ obtain ⟨a, ha, hst⟩ := ssubset_iff.1 (ssubset_of_subset_of_ne hst (ht.ne_of_not_mem h).symm) refine Or.inr ⟨insert a s, ⟨⟨t, ht, hst⟩, ?_⟩, a, mem_insert_self _ _, erase_insert ha⟩ rw [card_insert_of_not_mem ha, hs]
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 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⟩⟩ #align real.angle.two_nsmul_to_real_eq_two_mul_add_two_pi Real.Angle.two_nsmul_toReal_eq_two_mul_add_two_pi theorem two_zsmul_toReal_eq_two_mul_add_two_pi {θ : Angle} : ((2 : ℤ) • θ).toReal = 2 * θ.toReal + 2 * π ↔ θ.toReal ≤ -π / 2 := by rw [two_zsmul, ← two_nsmul, two_nsmul_toReal_eq_two_mul_add_two_pi] #align real.angle.two_zsmul_to_real_eq_two_mul_add_two_pi Real.Angle.two_zsmul_toReal_eq_two_mul_add_two_pi @[simp] theorem sin_toReal (θ : Angle) : Real.sin θ.toReal = sin θ := by conv_rhs => rw [← coe_toReal θ, sin_coe] #align real.angle.sin_to_real Real.Angle.sin_toReal @[simp] theorem cos_toReal (θ : Angle) : Real.cos θ.toReal = cos θ := by conv_rhs => rw [← coe_toReal θ, cos_coe] #align real.angle.cos_to_real Real.Angle.cos_toReal theorem cos_nonneg_iff_abs_toReal_le_pi_div_two {θ : Angle} : 0 ≤ cos θ ↔ |θ.toReal| ≤ π / 2 := by nth_rw 1 [← coe_toReal θ] rw [abs_le, cos_coe] refine ⟨fun h => ?_, cos_nonneg_of_mem_Icc⟩ by_contra hn rw [not_and_or, not_le, not_le] at hn refine (not_lt.2 h) ?_ rcases hn with (hn | hn) · rw [← Real.cos_neg] refine cos_neg_of_pi_div_two_lt_of_lt (by linarith) ?_ linarith [neg_pi_lt_toReal θ] · refine cos_neg_of_pi_div_two_lt_of_lt hn ?_ linarith [toReal_le_pi θ] #align real.angle.cos_nonneg_iff_abs_to_real_le_pi_div_two Real.Angle.cos_nonneg_iff_abs_toReal_le_pi_div_two theorem cos_pos_iff_abs_toReal_lt_pi_div_two {θ : Angle} : 0 < cos θ ↔ |θ.toReal| < π / 2 := by rw [lt_iff_le_and_ne, lt_iff_le_and_ne, cos_nonneg_iff_abs_toReal_le_pi_div_two, ← and_congr_right] rintro - rw [Ne, Ne, not_iff_not, @eq_comm ℝ 0, abs_toReal_eq_pi_div_two_iff, cos_eq_zero_iff] #align real.angle.cos_pos_iff_abs_to_real_lt_pi_div_two Real.Angle.cos_pos_iff_abs_toReal_lt_pi_div_two theorem cos_neg_iff_pi_div_two_lt_abs_toReal {θ : Angle} : cos θ < 0 ↔ π / 2 < |θ.toReal| := by rw [← not_le, ← not_le, not_iff_not, cos_nonneg_iff_abs_toReal_le_pi_div_two] #align real.angle.cos_neg_iff_pi_div_two_lt_abs_to_real Real.Angle.cos_neg_iff_pi_div_two_lt_abs_toReal theorem abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi {θ ψ : Angle} (h : (2 : ℕ) • θ + (2 : ℕ) • ψ = π) : |cos θ| = |sin ψ| := by rw [← eq_sub_iff_add_eq, ← two_nsmul_coe_div_two, ← nsmul_sub, two_nsmul_eq_iff] at h rcases h with (rfl | rfl) <;> simp [cos_pi_div_two_sub] #align real.angle.abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi Real.Angle.abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi theorem abs_cos_eq_abs_sin_of_two_zsmul_add_two_zsmul_eq_pi {θ ψ : Angle} (h : (2 : ℤ) • θ + (2 : ℤ) • ψ = π) : |cos θ| = |sin ψ| := by simp_rw [two_zsmul, ← two_nsmul] at h exact abs_cos_eq_abs_sin_of_two_nsmul_add_two_nsmul_eq_pi h #align real.angle.abs_cos_eq_abs_sin_of_two_zsmul_add_two_zsmul_eq_pi Real.Angle.abs_cos_eq_abs_sin_of_two_zsmul_add_two_zsmul_eq_pi def tan (θ : Angle) : ℝ := sin θ / cos θ #align real.angle.tan Real.Angle.tan theorem tan_eq_sin_div_cos (θ : Angle) : tan θ = sin θ / cos θ := rfl #align real.angle.tan_eq_sin_div_cos Real.Angle.tan_eq_sin_div_cos @[simp] theorem tan_coe (x : ℝ) : tan (x : Angle) = Real.tan x := by rw [tan, sin_coe, cos_coe, Real.tan_eq_sin_div_cos] #align real.angle.tan_coe Real.Angle.tan_coe @[simp] theorem tan_zero : tan (0 : Angle) = 0 := by rw [← coe_zero, tan_coe, Real.tan_zero] #align real.angle.tan_zero Real.Angle.tan_zero -- Porting note (#10618): @[simp] can now prove it theorem tan_coe_pi : tan (π : Angle) = 0 := by rw [tan_coe, Real.tan_pi] #align real.angle.tan_coe_pi Real.Angle.tan_coe_pi theorem tan_periodic : Function.Periodic tan (π : Angle) := by intro θ induction θ using Real.Angle.induction_on rw [← coe_add, tan_coe, tan_coe] exact Real.tan_periodic _ #align real.angle.tan_periodic Real.Angle.tan_periodic @[simp] theorem tan_add_pi (θ : Angle) : tan (θ + π) = tan θ := tan_periodic θ #align real.angle.tan_add_pi Real.Angle.tan_add_pi @[simp] theorem tan_sub_pi (θ : Angle) : tan (θ - π) = tan θ := tan_periodic.sub_eq θ #align real.angle.tan_sub_pi Real.Angle.tan_sub_pi @[simp] theorem tan_toReal (θ : Angle) : Real.tan θ.toReal = tan θ := by conv_rhs => rw [← coe_toReal θ, tan_coe] #align real.angle.tan_to_real Real.Angle.tan_toReal theorem tan_eq_of_two_nsmul_eq {θ ψ : Angle} (h : (2 : ℕ) • θ = (2 : ℕ) • ψ) : tan θ = tan ψ := by rw [two_nsmul_eq_iff] at h rcases h with (rfl | rfl) · rfl · exact tan_add_pi _ #align real.angle.tan_eq_of_two_nsmul_eq Real.Angle.tan_eq_of_two_nsmul_eq theorem tan_eq_of_two_zsmul_eq {θ ψ : Angle} (h : (2 : ℤ) • θ = (2 : ℤ) • ψ) : tan θ = tan ψ := by simp_rw [two_zsmul, ← two_nsmul] at h exact tan_eq_of_two_nsmul_eq h #align real.angle.tan_eq_of_two_zsmul_eq Real.Angle.tan_eq_of_two_zsmul_eq theorem tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi {θ ψ : Angle} (h : (2 : ℕ) • θ + (2 : ℕ) • ψ = π) : tan ψ = (tan θ)⁻¹ := by induction θ using Real.Angle.induction_on induction ψ using Real.Angle.induction_on rw [← smul_add, ← coe_add, ← coe_nsmul, two_nsmul, ← two_mul, angle_eq_iff_two_pi_dvd_sub] at h rcases h with ⟨k, h⟩ rw [sub_eq_iff_eq_add, ← mul_inv_cancel_left₀ two_ne_zero π, mul_assoc, ← mul_add, mul_right_inj' (two_ne_zero' ℝ), ← eq_sub_iff_add_eq', mul_inv_cancel_left₀ two_ne_zero π, inv_mul_eq_div, mul_comm] at h rw [tan_coe, tan_coe, ← tan_pi_div_two_sub, h, add_sub_assoc, add_comm] exact Real.tan_periodic.int_mul _ _ #align real.angle.tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi Real.Angle.tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi theorem tan_eq_inv_of_two_zsmul_add_two_zsmul_eq_pi {θ ψ : Angle} (h : (2 : ℤ) • θ + (2 : ℤ) • ψ = π) : tan ψ = (tan θ)⁻¹ := by simp_rw [two_zsmul, ← two_nsmul] at h exact tan_eq_inv_of_two_nsmul_add_two_nsmul_eq_pi h #align real.angle.tan_eq_inv_of_two_zsmul_add_two_zsmul_eq_pi Real.Angle.tan_eq_inv_of_two_zsmul_add_two_zsmul_eq_pi def sign (θ : Angle) : SignType := SignType.sign (sin θ) #align real.angle.sign Real.Angle.sign @[simp] theorem sign_zero : (0 : Angle).sign = 0 := by rw [sign, sin_zero, _root_.sign_zero] #align real.angle.sign_zero Real.Angle.sign_zero @[simp] theorem sign_coe_pi : (π : Angle).sign = 0 := by rw [sign, sin_coe_pi, _root_.sign_zero] #align real.angle.sign_coe_pi Real.Angle.sign_coe_pi @[simp]
Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean
867
868
theorem sign_neg (θ : Angle) : (-θ).sign = -θ.sign := by
simp_rw [sign, sin_neg, Left.sign_neg]
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory
Mathlib/MeasureTheory/Function/L1Space.lean
66
67
theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [edist_eq_coe_nnnorm]
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Range #align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" assert_not_exists MonoidWithZero universe u v open Function namespace List variable {α : Type u} {β : Type v} section MapIdx -- Porting note: Add back old definition because it's easier for writing proofs. protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β | _, [] => [] | k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β := List.oldMapIdxCore f 0 as @[simp] theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] := rfl #align list.map_with_index_nil List.mapIdx_nil -- Porting note (#10756): new theorem. protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) : l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by induction' l with hd tl hl generalizing f n · rfl · rw [List.oldMapIdx] simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero] #noalign list.map_with_index_core_eq -- Porting note: convert new definition to old definition. -- A few new theorems are added to achieve this -- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]` -- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]` -- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l` -- Porting note (#10756): new theorem. theorem list_reverse_induction (p : List α → Prop) (base : p []) (ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by let q := fun l ↦ p (reverse l) have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id intro l apply qp generalize (reverse l) = l induction' l with head tail ih · apply pq; simp only [reverse_nil, base] · apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih -- Porting note (#10756): new theorem. protected theorem oldMapIdxCore_append : ∀ (f : ℕ → α → β) (n : ℕ) (l₁ l₂ : List α), List.oldMapIdxCore f n (l₁ ++ l₂) = List.oldMapIdxCore f n l₁ ++ List.oldMapIdxCore f (n + l₁.length) l₂ := by intros f n l₁ l₂ generalize e : (l₁ ++ l₂).length = len revert n l₁ l₂ induction' len with len ih <;> intros n l₁ l₂ h · have l₁_nil : l₁ = [] := by cases l₁ · rfl · contradiction have l₂_nil : l₂ = [] := by cases l₂ · rfl · rw [List.length_append] at h; contradiction simp only [l₁_nil, l₂_nil]; rfl · cases' l₁ with head tail · rfl · simp only [List.oldMapIdxCore, List.append_eq, length_cons, cons_append,cons.injEq, true_and] suffices n + Nat.succ (length tail) = n + 1 + tail.length by rw [this] apply ih (n + 1) _ _ _ simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h simp only [length_append, h] rw [Nat.add_assoc]; simp only [Nat.add_comm] -- Porting note (#10756): new theorem. protected theorem oldMapIdx_append : ∀ (f : ℕ → α → β) (l : List α) (e : α), List.oldMapIdx f (l ++ [e]) = List.oldMapIdx f l ++ [f l.length e] := by intros f l e unfold List.oldMapIdx rw [List.oldMapIdxCore_append f 0 l [e]] simp only [Nat.zero_add]; rfl -- Porting note (#10756): new theorem. theorem mapIdxGo_append : ∀ (f : ℕ → α → β) (l₁ l₂ : List α) (arr : Array β), mapIdx.go f (l₁ ++ l₂) arr = mapIdx.go f l₂ (List.toArray (mapIdx.go f l₁ arr)) := by intros f l₁ l₂ arr generalize e : (l₁ ++ l₂).length = len revert l₁ l₂ arr induction' len with len ih <;> intros l₁ l₂ arr h · have l₁_nil : l₁ = [] := by cases l₁ · rfl · contradiction have l₂_nil : l₂ = [] := by cases l₂ · rfl · rw [List.length_append] at h; contradiction rw [l₁_nil, l₂_nil]; simp only [mapIdx.go, Array.toList_eq, Array.toArray_data] · cases' l₁ with head tail <;> simp only [mapIdx.go] · simp only [nil_append, Array.toList_eq, Array.toArray_data] · simp only [List.append_eq] rw [ih] · simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h simp only [length_append, h] -- Porting note (#10756): new theorem. theorem mapIdxGo_length : ∀ (f : ℕ → α → β) (l : List α) (arr : Array β), length (mapIdx.go f l arr) = length l + arr.size := by intro f l induction' l with head tail ih · intro; simp only [mapIdx.go, Array.toList_eq, length_nil, Nat.zero_add] · intro; simp only [mapIdx.go]; rw [ih]; simp only [Array.size_push, length_cons]; simp only [Nat.add_succ, add_zero, Nat.add_comm] -- Porting note (#10756): new theorem. theorem mapIdx_append_one : ∀ (f : ℕ → α → β) (l : List α) (e : α), mapIdx f (l ++ [e]) = mapIdx f l ++ [f l.length e] := by intros f l e unfold mapIdx rw [mapIdxGo_append f l [e]] simp only [mapIdx.go, Array.size_toArray, mapIdxGo_length, length_nil, Nat.add_zero, Array.toList_eq, Array.push_data, Array.data_toArray] -- Porting note (#10756): new theorem. protected theorem new_def_eq_old_def : ∀ (f : ℕ → α → β) (l : List α), l.mapIdx f = List.oldMapIdx f l := by intro f apply list_reverse_induction · rfl · intro l e h rw [List.oldMapIdx_append, mapIdx_append_one, h] @[local simp] theorem map_enumFrom_eq_zipWith : ∀ (l : List α) (n : ℕ) (f : ℕ → α → β), map (uncurry f) (enumFrom n l) = zipWith (fun i ↦ f (i + n)) (range (length l)) l := by intro l generalize e : l.length = len revert l induction' len with len ih <;> intros l e n f · have : l = [] := by cases l · rfl · contradiction rw [this]; rfl · cases' l with head tail · contradiction · simp only [map, uncurry_apply_pair, range_succ_eq_map, zipWith, Nat.zero_add, zipWith_map_left] rw [ih] · suffices (fun i ↦ f (i + (n + 1))) = ((fun i ↦ f (i + n)) ∘ Nat.succ) by rw [this] rfl funext n' a simp only [comp, Nat.add_assoc, Nat.add_comm, Nat.add_succ] simp only [length_cons, Nat.succ.injEq] at e; exact e theorem mapIdx_eq_enum_map (l : List α) (f : ℕ → α → β) : l.mapIdx f = l.enum.map (Function.uncurry f) := by rw [List.new_def_eq_old_def] induction' l with hd tl hl generalizing f · rfl · rw [List.oldMapIdx, List.oldMapIdxCore, List.oldMapIdxCore_eq, hl] simp [map, enum_eq_zip_range, map_uncurry_zip_eq_zipWith] #align list.map_with_index_eq_enum_map List.mapIdx_eq_enum_map @[simp] theorem mapIdx_cons (l : List α) (f : ℕ → α → β) (a : α) : mapIdx f (a :: l) = f 0 a :: mapIdx (fun i ↦ f (i + 1)) l := by simp [mapIdx_eq_enum_map, enum_eq_zip_range, map_uncurry_zip_eq_zipWith, range_succ_eq_map, zipWith_map_left] #align list.map_with_index_cons List.mapIdx_cons theorem mapIdx_append (K L : List α) (f : ℕ → α → β) : (K ++ L).mapIdx f = K.mapIdx f ++ L.mapIdx fun i a ↦ f (i + K.length) a := by induction' K with a J IH generalizing f · rfl · simp [IH fun i ↦ f (i + 1), Nat.add_assoc, Nat.succ_eq_add_one] #align list.map_with_index_append List.mapIdx_append @[simp] theorem length_mapIdx (l : List α) (f : ℕ → α → β) : (l.mapIdx f).length = l.length := by induction' l with hd tl IH generalizing f · rfl · simp [IH] #align list.length_map_with_index List.length_mapIdx @[simp] theorem mapIdx_eq_nil {f : ℕ → α → β} {l : List α} : List.mapIdx f l = [] ↔ l = [] := by rw [List.mapIdx_eq_enum_map, List.map_eq_nil, List.enum_eq_nil] set_option linter.deprecated false in @[simp, deprecated (since := "2023-02-11")] theorem nthLe_mapIdx (l : List α) (f : ℕ → α → β) (i : ℕ) (h : i < l.length) (h' : i < (l.mapIdx f).length := h.trans_le (l.length_mapIdx f).ge) : (l.mapIdx f).nthLe i h' = f i (l.nthLe i h) := by simp [mapIdx_eq_enum_map, enum_eq_zip_range] #align list.nth_le_map_with_index List.nthLe_mapIdx
Mathlib/Data/List/Indexes.lean
224
228
theorem mapIdx_eq_ofFn (l : List α) (f : ℕ → α → β) : l.mapIdx f = ofFn fun i : Fin l.length ↦ f (i : ℕ) (l.get i) := by
induction l generalizing f with | nil => simp | cons _ _ IH => simp [IH]
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax import Mathlib.Algebra.Order.Monoid.WithTop import Mathlib.Data.Finset.Image import Mathlib.Data.Multiset.Fold #align_import data.finset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" -- TODO: -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero namespace Finset open Multiset variable {α β γ : Type*} section Fold variable (op : β → β → β) [hc : Std.Commutative op] [ha : Std.Associative op] local notation a " * " b => op a b def fold (b : β) (f : α → β) (s : Finset α) : β := (s.1.map f).fold op b #align finset.fold Finset.fold variable {op} {f : α → β} {b : β} {s : Finset α} {a : α} @[simp] theorem fold_empty : (∅ : Finset α).fold op b f = b := rfl #align finset.fold_empty Finset.fold_empty @[simp] theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f := by dsimp only [fold] rw [cons_val, Multiset.map_cons, fold_cons_left] #align finset.fold_cons Finset.fold_cons @[simp] theorem fold_insert [DecidableEq α] (h : a ∉ s) : (insert a s).fold op b f = f a * s.fold op b f := by unfold fold rw [insert_val, ndinsert_of_not_mem h, Multiset.map_cons, fold_cons_left] #align finset.fold_insert Finset.fold_insert @[simp] theorem fold_singleton : ({a} : Finset α).fold op b f = f a * b := rfl #align finset.fold_singleton Finset.fold_singleton @[simp] theorem fold_map {g : γ ↪ α} {s : Finset γ} : (s.map g).fold op b f = s.fold op b (f ∘ g) := by simp only [fold, map, Multiset.map_map] #align finset.fold_map Finset.fold_map @[simp] theorem fold_image [DecidableEq α] {g : γ → α} {s : Finset γ} (H : ∀ x ∈ s, ∀ y ∈ s, g x = g y → x = y) : (s.image g).fold op b f = s.fold op b (f ∘ g) := by simp only [fold, image_val_of_injOn H, Multiset.map_map] #align finset.fold_image Finset.fold_image @[congr] theorem fold_congr {g : α → β} (H : ∀ x ∈ s, f x = g x) : s.fold op b f = s.fold op b g := by rw [fold, fold, map_congr rfl H] #align finset.fold_congr Finset.fold_congr theorem fold_op_distrib {f g : α → β} {b₁ b₂ : β} : (s.fold op (b₁ * b₂) fun x => f x * g x) = s.fold op b₁ f * s.fold op b₂ g := by simp only [fold, fold_distrib] #align finset.fold_op_distrib Finset.fold_op_distrib theorem fold_const [hd : Decidable (s = ∅)] (c : β) (h : op c (op b c) = op b c) : Finset.fold op b (fun _ => c) s = if s = ∅ then b else op b c := by classical induction' s using Finset.induction_on with x s hx IH generalizing hd · simp · simp only [Finset.fold_insert hx, IH, if_false, Finset.insert_ne_empty] split_ifs · rw [hc.comm] · exact h #align finset.fold_const Finset.fold_const theorem fold_hom {op' : γ → γ → γ} [Std.Commutative op'] [Std.Associative op'] {m : β → γ} (hm : ∀ x y, m (op x y) = op' (m x) (m y)) : (s.fold op' (m b) fun x => m (f x)) = m (s.fold op b f) := by rw [fold, fold, ← Multiset.fold_hom op hm, Multiset.map_map] simp only [Function.comp_apply] #align finset.fold_hom Finset.fold_hom theorem fold_disjUnion {s₁ s₂ : Finset α} {b₁ b₂ : β} (h) : (s₁.disjUnion s₂ h).fold op (b₁ * b₂) f = s₁.fold op b₁ f * s₂.fold op b₂ f := (congr_arg _ <| Multiset.map_add _ _ _).trans (Multiset.fold_add _ _ _ _ _) #align finset.fold_disj_union Finset.fold_disjUnion theorem fold_disjiUnion {ι : Type*} {s : Finset ι} {t : ι → Finset α} {b : ι → β} {b₀ : β} (h) : (s.disjiUnion t h).fold op (s.fold op b₀ b) f = s.fold op b₀ fun i => (t i).fold op (b i) f := (congr_arg _ <| Multiset.map_bind _ _ _).trans (Multiset.fold_bind _ _ _ _ _) #align finset.fold_disj_Union Finset.fold_disjiUnion theorem fold_union_inter [DecidableEq α] {s₁ s₂ : Finset α} {b₁ b₂ : β} : ((s₁ ∪ s₂).fold op b₁ f * (s₁ ∩ s₂).fold op b₂ f) = s₁.fold op b₂ f * s₂.fold op b₁ f := by unfold fold rw [← fold_add op, ← Multiset.map_add, union_val, inter_val, union_add_inter, Multiset.map_add, hc.comm, fold_add] #align finset.fold_union_inter Finset.fold_union_inter @[simp] theorem fold_insert_idem [DecidableEq α] [hi : Std.IdempotentOp op] : (insert a s).fold op b f = f a * s.fold op b f := by by_cases h : a ∈ s · rw [← insert_erase h] simp [← ha.assoc, hi.idempotent] · apply fold_insert h #align finset.fold_insert_idem Finset.fold_insert_idem theorem fold_image_idem [DecidableEq α] {g : γ → α} {s : Finset γ} [hi : Std.IdempotentOp op] : (image g s).fold op b f = s.fold op b (f ∘ g) := by induction' s using Finset.cons_induction with x xs hx ih · rw [fold_empty, image_empty, fold_empty] · haveI := Classical.decEq γ rw [fold_cons, cons_eq_insert, image_insert, fold_insert_idem, ih] simp only [Function.comp_apply] #align finset.fold_image_idem Finset.fold_image_idem theorem fold_ite' {g : α → β} (hb : op b b = b) (p : α → Prop) [DecidablePred p] : Finset.fold op b (fun i => ite (p i) (f i) (g i)) s = op (Finset.fold op b f (s.filter p)) (Finset.fold op b g (s.filter fun i => ¬p i)) := by classical induction' s using Finset.induction_on with x s hx IH · simp [hb] · simp only [Finset.fold_insert hx] split_ifs with h · have : x ∉ Finset.filter p s := by simp [hx] simp [Finset.filter_insert, h, Finset.fold_insert this, ha.assoc, IH] · have : x ∉ Finset.filter (fun i => ¬ p i) s := by simp [hx] simp [Finset.filter_insert, h, Finset.fold_insert this, IH, ← ha.assoc, hc.comm] #align finset.fold_ite' Finset.fold_ite' theorem fold_ite [Std.IdempotentOp op] {g : α → β} (p : α → Prop) [DecidablePred p] : Finset.fold op b (fun i => ite (p i) (f i) (g i)) s = op (Finset.fold op b f (s.filter p)) (Finset.fold op b g (s.filter fun i => ¬p i)) := fold_ite' (Std.IdempotentOp.idempotent _) _ #align finset.fold_ite Finset.fold_ite theorem fold_op_rel_iff_and {r : β → β → Prop} (hr : ∀ {x y z}, r x (op y z) ↔ r x y ∧ r x z) {c : β} : r c (s.fold op b f) ↔ r c b ∧ ∀ x ∈ s, r c (f x) := by classical induction' s using Finset.induction_on with a s ha IH · simp rw [Finset.fold_insert ha, hr, IH, ← and_assoc, @and_comm (r c (f a)), and_assoc] apply and_congr Iff.rfl constructor · rintro ⟨h₁, h₂⟩ intro b hb rw [Finset.mem_insert] at hb rcases hb with (rfl | hb) <;> solve_by_elim · intro h constructor · exact h a (Finset.mem_insert_self _ _) · exact fun b hb => h b <| Finset.mem_insert_of_mem hb #align finset.fold_op_rel_iff_and Finset.fold_op_rel_iff_and theorem fold_op_rel_iff_or {r : β → β → Prop} (hr : ∀ {x y z}, r x (op y z) ↔ r x y ∨ r x z) {c : β} : r c (s.fold op b f) ↔ r c b ∨ ∃ x ∈ s, r c (f x) := by classical induction' s using Finset.induction_on with a s ha IH · simp rw [Finset.fold_insert ha, hr, IH, ← or_assoc, @or_comm (r c (f a)), or_assoc] apply or_congr Iff.rfl constructor · rintro (h₁ | ⟨x, hx, h₂⟩) · use a simp [h₁] · refine ⟨x, by simp [hx], h₂⟩ · rintro ⟨x, hx, h⟩ exact (mem_insert.mp hx).imp (fun hx => by rwa [hx] at h) (fun hx => ⟨x, hx, h⟩) #align finset.fold_op_rel_iff_or Finset.fold_op_rel_iff_or @[simp] theorem fold_union_empty_singleton [DecidableEq α] (s : Finset α) : Finset.fold (· ∪ ·) ∅ singleton s = s := by induction' s using Finset.induction_on with a s has ih · simp only [fold_empty] · rw [fold_insert has, ih, insert_eq] #align finset.fold_union_empty_singleton Finset.fold_union_empty_singleton theorem fold_sup_bot_singleton [DecidableEq α] (s : Finset α) : Finset.fold (· ⊔ ·) ⊥ singleton s = s := fold_union_empty_singleton s #align finset.fold_sup_bot_singleton Finset.fold_sup_bot_singleton section Order variable [LinearOrder β] (c : β) theorem le_fold_min : c ≤ s.fold min b f ↔ c ≤ b ∧ ∀ x ∈ s, c ≤ f x := fold_op_rel_iff_and le_min_iff #align finset.le_fold_min Finset.le_fold_min theorem fold_min_le : s.fold min b f ≤ c ↔ b ≤ c ∨ ∃ x ∈ s, f x ≤ c := by show _ ≥ _ ↔ _ apply fold_op_rel_iff_or intro x y z show _ ≤ _ ↔ _ exact min_le_iff #align finset.fold_min_le Finset.fold_min_le theorem lt_fold_min : c < s.fold min b f ↔ c < b ∧ ∀ x ∈ s, c < f x := fold_op_rel_iff_and lt_min_iff #align finset.lt_fold_min Finset.lt_fold_min theorem fold_min_lt : s.fold min b f < c ↔ b < c ∨ ∃ x ∈ s, f x < c := by show _ > _ ↔ _ apply fold_op_rel_iff_or intro x y z show _ < _ ↔ _ exact min_lt_iff #align finset.fold_min_lt Finset.fold_min_lt theorem fold_max_le : s.fold max b f ≤ c ↔ b ≤ c ∧ ∀ x ∈ s, f x ≤ c := by show _ ≥ _ ↔ _ apply fold_op_rel_iff_and intro x y z show _ ≤ _ ↔ _ exact max_le_iff #align finset.fold_max_le Finset.fold_max_le theorem le_fold_max : c ≤ s.fold max b f ↔ c ≤ b ∨ ∃ x ∈ s, c ≤ f x := fold_op_rel_iff_or le_max_iff #align finset.le_fold_max Finset.le_fold_max
Mathlib/Data/Finset/Fold.lean
255
260
theorem fold_max_lt : s.fold max b f < c ↔ b < c ∧ ∀ x ∈ s, f x < c := by
show _ > _ ↔ _ apply fold_op_rel_iff_and intro x y z show _ < _ ↔ _ exact max_lt_iff
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Analysis.SpecialFunctions.Complex.LogDeriv import Mathlib.Analysis.Calculus.FDeriv.Extend import Mathlib.Analysis.Calculus.Deriv.Prod import Mathlib.Analysis.SpecialFunctions.Log.Deriv import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv #align_import analysis.special_functions.pow.deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Real Topology NNReal ENNReal Filter open Filter namespace Real variable {x y z : ℝ} theorem hasStrictFDerivAt_rpow_of_pos (p : ℝ × ℝ) (hp : 0 < p.1) : HasStrictFDerivAt (fun x : ℝ × ℝ => x.1 ^ x.2) ((p.2 * p.1 ^ (p.2 - 1)) • ContinuousLinearMap.fst ℝ ℝ ℝ + (p.1 ^ p.2 * log p.1) • ContinuousLinearMap.snd ℝ ℝ ℝ) p := by have : (fun x : ℝ × ℝ => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) := (continuousAt_fst.eventually (lt_mem_nhds hp)).mono fun p hp => rpow_def_of_pos hp _ refine HasStrictFDerivAt.congr_of_eventuallyEq ?_ this.symm convert ((hasStrictFDerivAt_fst.log hp.ne').mul hasStrictFDerivAt_snd).exp using 1 rw [rpow_sub_one hp.ne', ← rpow_def_of_pos hp, smul_add, smul_smul, mul_div_left_comm, div_eq_mul_inv, smul_smul, smul_smul, mul_assoc, add_comm] #align real.has_strict_fderiv_at_rpow_of_pos Real.hasStrictFDerivAt_rpow_of_pos theorem hasStrictFDerivAt_rpow_of_neg (p : ℝ × ℝ) (hp : p.1 < 0) : HasStrictFDerivAt (fun x : ℝ × ℝ => x.1 ^ x.2) ((p.2 * p.1 ^ (p.2 - 1)) • ContinuousLinearMap.fst ℝ ℝ ℝ + (p.1 ^ p.2 * log p.1 - exp (log p.1 * p.2) * sin (p.2 * π) * π) • ContinuousLinearMap.snd ℝ ℝ ℝ) p := by have : (fun x : ℝ × ℝ => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) * cos (x.2 * π) := (continuousAt_fst.eventually (gt_mem_nhds hp)).mono fun p hp => rpow_def_of_neg hp _ refine HasStrictFDerivAt.congr_of_eventuallyEq ?_ this.symm convert ((hasStrictFDerivAt_fst.log hp.ne).mul hasStrictFDerivAt_snd).exp.mul (hasStrictFDerivAt_snd.mul_const π).cos using 1 simp_rw [rpow_sub_one hp.ne, smul_add, ← add_assoc, smul_smul, ← add_smul, ← mul_assoc, mul_comm (cos _), ← rpow_def_of_neg hp] rw [div_eq_mul_inv, add_comm]; congr 2 <;> ring #align real.has_strict_fderiv_at_rpow_of_neg Real.hasStrictFDerivAt_rpow_of_neg theorem contDiffAt_rpow_of_ne (p : ℝ × ℝ) (hp : p.1 ≠ 0) {n : ℕ∞} : ContDiffAt ℝ n (fun p : ℝ × ℝ => p.1 ^ p.2) p := by cases' hp.lt_or_lt with hneg hpos exacts [(((contDiffAt_fst.log hneg.ne).mul contDiffAt_snd).exp.mul (contDiffAt_snd.mul contDiffAt_const).cos).congr_of_eventuallyEq ((continuousAt_fst.eventually (gt_mem_nhds hneg)).mono fun p hp => rpow_def_of_neg hp _), ((contDiffAt_fst.log hpos.ne').mul contDiffAt_snd).exp.congr_of_eventuallyEq ((continuousAt_fst.eventually (lt_mem_nhds hpos)).mono fun p hp => rpow_def_of_pos hp _)] #align real.cont_diff_at_rpow_of_ne Real.contDiffAt_rpow_of_ne theorem differentiableAt_rpow_of_ne (p : ℝ × ℝ) (hp : p.1 ≠ 0) : DifferentiableAt ℝ (fun p : ℝ × ℝ => p.1 ^ p.2) p := (contDiffAt_rpow_of_ne p hp).differentiableAt le_rfl #align real.differentiable_at_rpow_of_ne Real.differentiableAt_rpow_of_ne
Mathlib/Analysis/SpecialFunctions/Pow/Deriv.lean
321
326
theorem _root_.HasStrictDerivAt.rpow {f g : ℝ → ℝ} {f' g' : ℝ} (hf : HasStrictDerivAt f f' x) (hg : HasStrictDerivAt g g' x) (h : 0 < f x) : HasStrictDerivAt (fun x => f x ^ g x) (f' * g x * f x ^ (g x - 1) + g' * f x ^ g x * Real.log (f x)) x := by
convert (hasStrictFDerivAt_rpow_of_pos ((fun x => (f x, g x)) x) h).comp_hasStrictDerivAt x (hf.prod hg) using 1 simp [mul_assoc, mul_comm, mul_left_comm]