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import Mathlib.GroupTheory.QuotientGroup import Mathlib.RingTheory.DedekindDomain.Ideal #align_import ring_theory.class_group from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" variable {R K L : Type*} [CommRing R] variable [Field K] [Field L] [DecidableEq L] variable [Algebra R K] [IsFractionRing R K] variable [Algebra K L] [FiniteDimensional K L] variable [Algebra R L] [IsScalarTower R K L] open scoped nonZeroDivisors open IsLocalization IsFractionRing FractionalIdeal Units section variable (R K) irreducible_def toPrincipalIdeal : Kˣ →* (FractionalIdeal R⁰ K)ˣ := { toFun := fun x => ⟨spanSingleton _ x, spanSingleton _ x⁻¹, by simp only [spanSingleton_one, Units.mul_inv', spanSingleton_mul_spanSingleton], by simp only [spanSingleton_one, Units.inv_mul', spanSingleton_mul_spanSingleton]⟩ map_mul' := fun x y => ext (by simp only [Units.val_mk, Units.val_mul, spanSingleton_mul_spanSingleton]) map_one' := ext (by simp only [spanSingleton_one, Units.val_mk, Units.val_one]) } #align to_principal_ideal toPrincipalIdeal variable {R K} @[simp] theorem coe_toPrincipalIdeal (x : Kˣ) : (toPrincipalIdeal R K x : FractionalIdeal R⁰ K) = spanSingleton _ (x : K) := by simp only [toPrincipalIdeal]; rfl #align coe_to_principal_ideal coe_toPrincipalIdeal @[simp] theorem toPrincipalIdeal_eq_iff {I : (FractionalIdeal R⁰ K)ˣ} {x : Kˣ} : toPrincipalIdeal R K x = I ↔ spanSingleton R⁰ (x : K) = I := by simp only [toPrincipalIdeal]; exact Units.ext_iff #align to_principal_ideal_eq_iff toPrincipalIdeal_eq_iff theorem mem_principal_ideals_iff {I : (FractionalIdeal R⁰ K)ˣ} : I ∈ (toPrincipalIdeal R K).range ↔ ∃ x : K, spanSingleton R⁰ x = I := by simp only [MonoidHom.mem_range, toPrincipalIdeal_eq_iff] constructor <;> rintro ⟨x, hx⟩ · exact ⟨x, hx⟩ · refine ⟨Units.mk0 x ?_, hx⟩ rintro rfl simp [I.ne_zero.symm] at hx #align mem_principal_ideals_iff mem_principal_ideals_iff instance PrincipalIdeals.normal : (toPrincipalIdeal R K).range.Normal := Subgroup.normal_of_comm _ #align principal_ideals.normal PrincipalIdeals.normal end variable (R) variable [IsDomain R] def ClassGroup := (FractionalIdeal R⁰ (FractionRing R))ˣ ⧸ (toPrincipalIdeal R (FractionRing R)).range #align class_group ClassGroup noncomputable instance : CommGroup (ClassGroup R) := QuotientGroup.Quotient.commGroup (toPrincipalIdeal R (FractionRing R)).range noncomputable instance : Inhabited (ClassGroup R) := ⟨1⟩ variable {R} noncomputable def ClassGroup.mk : (FractionalIdeal R⁰ K)ˣ →* ClassGroup R := (QuotientGroup.mk' (toPrincipalIdeal R (FractionRing R)).range).comp (Units.map (FractionalIdeal.canonicalEquiv R⁰ K (FractionRing R))) #align class_group.mk ClassGroup.mk -- Can't be `@[simp]` because it can't figure out the quotient relation. theorem ClassGroup.Quot_mk_eq_mk (I : (FractionalIdeal R⁰ (FractionRing R))ˣ) : Quot.mk _ I = ClassGroup.mk I := by rw [ClassGroup.mk, canonicalEquiv_self, RingEquiv.coe_monoidHom_refl, Units.map_id] -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [MonoidHom.comp_apply] rw [MonoidHom.id_apply, QuotientGroup.mk'_apply] rfl
Mathlib/RingTheory/ClassGroup.lean
119
123
theorem ClassGroup.mk_eq_mk {I J : (FractionalIdeal R⁰ <| FractionRing R)ˣ} : ClassGroup.mk I = ClassGroup.mk J ↔ ∃ x : (FractionRing R)ˣ, I * toPrincipalIdeal R (FractionRing R) x = J := by
erw [QuotientGroup.mk'_eq_mk', canonicalEquiv_self, Units.map_id, Set.exists_range_iff] rfl
0
import Mathlib.CategoryTheory.Comma.StructuredArrow import Mathlib.CategoryTheory.IsConnected import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Terminal import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.CategoryTheory.PUnit #align_import category_theory.limits.final from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b" noncomputable section universe v v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory namespace Functor open Opposite open CategoryTheory.Limits section ArbitraryUniverse variable {C : Type u₁} [Category.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] class Final (F : C ⥤ D) : Prop where out (d : D) : IsConnected (StructuredArrow d F) #align category_theory.functor.final CategoryTheory.Functor.Final attribute [instance] Final.out class Initial (F : C ⥤ D) : Prop where out (d : D) : IsConnected (CostructuredArrow F d) #align category_theory.functor.initial CategoryTheory.Functor.Initial attribute [instance] Initial.out instance final_op_of_initial (F : C ⥤ D) [Initial F] : Final F.op where out d := isConnected_of_equivalent (costructuredArrowOpEquivalence F (unop d)) #align category_theory.functor.final_op_of_initial CategoryTheory.Functor.final_op_of_initial instance initial_op_of_final (F : C ⥤ D) [Final F] : Initial F.op where out d := isConnected_of_equivalent (structuredArrowOpEquivalence F (unop d)) #align category_theory.functor.initial_op_of_final CategoryTheory.Functor.initial_op_of_final theorem final_of_initial_op (F : C ⥤ D) [Initial F.op] : Final F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (structuredArrowOpEquivalence F d).symm) } #align category_theory.functor.final_of_initial_op CategoryTheory.Functor.final_of_initial_op theorem initial_of_final_op (F : C ⥤ D) [Final F.op] : Initial F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (costructuredArrowOpEquivalence F d).symm) } #align category_theory.functor.initial_of_final_op CategoryTheory.Functor.initial_of_final_op theorem final_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Final R := { out := fun c => let u : StructuredArrow c R := StructuredArrow.mk (adj.unit.app c) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inr ⟨StructuredArrow.homMk ((adj.homEquiv c f.right).symm f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inl ⟨StructuredArrow.homMk ((adj.homEquiv c g.right).symm g.hom) (by simp [u])⟩)) } #align category_theory.functor.final_of_adjunction CategoryTheory.Functor.final_of_adjunction theorem initial_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Initial L := { out := fun d => let u : CostructuredArrow L d := CostructuredArrow.mk (adj.counit.app d) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inl ⟨CostructuredArrow.homMk (adj.homEquiv f.left d f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inr ⟨CostructuredArrow.homMk (adj.homEquiv g.left d g.hom) (by simp [u])⟩)) } #align category_theory.functor.initial_of_adjunction CategoryTheory.Functor.initial_of_adjunction instance (priority := 100) final_of_isRightAdjoint (F : C ⥤ D) [IsRightAdjoint F] : Final F := final_of_adjunction (Adjunction.ofIsRightAdjoint F) #align category_theory.functor.final_of_is_right_adjoint CategoryTheory.Functor.final_of_isRightAdjoint instance (priority := 100) initial_of_isLeftAdjoint (F : C ⥤ D) [IsLeftAdjoint F] : Initial F := initial_of_adjunction (Adjunction.ofIsLeftAdjoint F) #align category_theory.functor.initial_of_is_left_adjoint CategoryTheory.Functor.initial_of_isLeftAdjoint theorem final_of_natIso {F F' : C ⥤ D} [Final F] (i : F ≅ F') : Final F' where out _ := isConnected_of_equivalent (StructuredArrow.mapNatIso i) theorem final_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Final F ↔ Final F' := ⟨fun _ => final_of_natIso i, fun _ => final_of_natIso i.symm⟩ theorem initial_of_natIso {F F' : C ⥤ D} [Initial F] (i : F ≅ F') : Initial F' where out _ := isConnected_of_equivalent (CostructuredArrow.mapNatIso i) theorem initial_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Initial F ↔ Initial F' := ⟨fun _ => initial_of_natIso i, fun _ => initial_of_natIso i.symm⟩ section LocallySmall variable {C : Type v} [Category.{v} C] {D : Type u₁} [Category.{v} D] (F : C ⥤ D) namespace Final
Mathlib/CategoryTheory/Limits/Final.lean
386
404
theorem zigzag_of_eqvGen_quot_rel {F : C ⥤ D} {d : D} {f₁ f₂ : ΣX, d ⟶ F.obj X} (t : EqvGen (Types.Quot.Rel.{v, v} (F ⋙ coyoneda.obj (op d))) f₁ f₂) : Zigzag (StructuredArrow.mk f₁.2) (StructuredArrow.mk f₂.2) := by
induction t with | rel x y r => obtain ⟨f, w⟩ := r fconstructor swap · fconstructor left; fconstructor exact StructuredArrow.homMk f | refl => fconstructor | symm x y _ ih => apply zigzag_symmetric exact ih | trans x y z _ _ ih₁ ih₂ => apply Relation.ReflTransGen.trans · exact ih₁ · exact ih₂
0
import Mathlib.Data.PFunctor.Univariate.Basic #align_import data.pfunctor.univariate.M from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" universe u v w open Nat Function open List variable (F : PFunctor.{u}) -- Porting note: the ♯ tactic is never used -- local prefix:0 "♯" => cast (by first |simp [*]|cc|solve_by_elim) namespace PFunctor namespace Approx inductive CofixA : ℕ → Type u | continue : CofixA 0 | intro {n} : ∀ a, (F.B a → CofixA n) → CofixA (succ n) #align pfunctor.approx.cofix_a PFunctor.Approx.CofixA protected def CofixA.default [Inhabited F.A] : ∀ n, CofixA F n | 0 => CofixA.continue | succ n => CofixA.intro default fun _ => CofixA.default n #align pfunctor.approx.cofix_a.default PFunctor.Approx.CofixA.default instance [Inhabited F.A] {n} : Inhabited (CofixA F n) := ⟨CofixA.default F n⟩ theorem cofixA_eq_zero : ∀ x y : CofixA F 0, x = y | CofixA.continue, CofixA.continue => rfl #align pfunctor.approx.cofix_a_eq_zero PFunctor.Approx.cofixA_eq_zero variable {F} def head' : ∀ {n}, CofixA F (succ n) → F.A | _, CofixA.intro i _ => i #align pfunctor.approx.head' PFunctor.Approx.head' def children' : ∀ {n} (x : CofixA F (succ n)), F.B (head' x) → CofixA F n | _, CofixA.intro _ f => f #align pfunctor.approx.children' PFunctor.Approx.children' theorem approx_eta {n : ℕ} (x : CofixA F (n + 1)) : x = CofixA.intro (head' x) (children' x) := by cases x; rfl #align pfunctor.approx.approx_eta PFunctor.Approx.approx_eta inductive Agree : ∀ {n : ℕ}, CofixA F n → CofixA F (n + 1) → Prop | continu (x : CofixA F 0) (y : CofixA F 1) : Agree x y | intro {n} {a} (x : F.B a → CofixA F n) (x' : F.B a → CofixA F (n + 1)) : (∀ i : F.B a, Agree (x i) (x' i)) → Agree (CofixA.intro a x) (CofixA.intro a x') #align pfunctor.approx.agree PFunctor.Approx.Agree def AllAgree (x : ∀ n, CofixA F n) := ∀ n, Agree (x n) (x (succ n)) #align pfunctor.approx.all_agree PFunctor.Approx.AllAgree @[simp] theorem agree_trival {x : CofixA F 0} {y : CofixA F 1} : Agree x y := by constructor #align pfunctor.approx.agree_trival PFunctor.Approx.agree_trival theorem agree_children {n : ℕ} (x : CofixA F (succ n)) (y : CofixA F (succ n + 1)) {i j} (h₀ : HEq i j) (h₁ : Agree x y) : Agree (children' x i) (children' y j) := by cases' h₁ with _ _ _ _ _ _ hagree; cases h₀ apply hagree #align pfunctor.approx.agree_children PFunctor.Approx.agree_children def truncate : ∀ {n : ℕ}, CofixA F (n + 1) → CofixA F n | 0, CofixA.intro _ _ => CofixA.continue | succ _, CofixA.intro i f => CofixA.intro i <| truncate ∘ f #align pfunctor.approx.truncate PFunctor.Approx.truncate theorem truncate_eq_of_agree {n : ℕ} (x : CofixA F n) (y : CofixA F (succ n)) (h : Agree x y) : truncate y = x := by induction n <;> cases x <;> cases y · rfl · -- cases' h with _ _ _ _ _ h₀ h₁ cases h simp only [truncate, Function.comp, true_and_iff, eq_self_iff_true, heq_iff_eq] -- Porting note: used to be `ext y` rename_i n_ih a f y h₁ suffices (fun x => truncate (y x)) = f by simp [this] funext y apply n_ih apply h₁ #align pfunctor.approx.truncate_eq_of_agree PFunctor.Approx.truncate_eq_of_agree variable {X : Type w} variable (f : X → F X) def sCorec : X → ∀ n, CofixA F n | _, 0 => CofixA.continue | j, succ _ => CofixA.intro (f j).1 fun i => sCorec ((f j).2 i) _ #align pfunctor.approx.s_corec PFunctor.Approx.sCorec theorem P_corec (i : X) (n : ℕ) : Agree (sCorec f i n) (sCorec f i (succ n)) := by induction' n with n n_ih generalizing i constructor cases' f i with y g constructor introv apply n_ih set_option linter.uppercaseLean3 false in #align pfunctor.approx.P_corec PFunctor.Approx.P_corec def Path (F : PFunctor.{u}) := List F.Idx #align pfunctor.approx.path PFunctor.Approx.Path instance Path.inhabited : Inhabited (Path F) := ⟨[]⟩ #align pfunctor.approx.path.inhabited PFunctor.Approx.Path.inhabited open List Nat instance CofixA.instSubsingleton : Subsingleton (CofixA F 0) := ⟨by rintro ⟨⟩ ⟨⟩; rfl⟩
Mathlib/Data/PFunctor/Univariate/M.lean
152
174
theorem head_succ' (n m : ℕ) (x : ∀ n, CofixA F n) (Hconsistent : AllAgree x) : head' (x (succ n)) = head' (x (succ m)) := by
suffices ∀ n, head' (x (succ n)) = head' (x 1) by simp [this] clear m n intro n cases' h₀ : x (succ n) with _ i₀ f₀ cases' h₁ : x 1 with _ i₁ f₁ dsimp only [head'] induction' n with n n_ih · rw [h₁] at h₀ cases h₀ trivial · have H := Hconsistent (succ n) cases' h₂ : x (succ n) with _ i₂ f₂ rw [h₀, h₂] at H apply n_ih (truncate ∘ f₀) rw [h₂] cases' H with _ _ _ _ _ _ hagree congr funext j dsimp only [comp_apply] rw [truncate_eq_of_agree] apply hagree
0
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms import Mathlib.CategoryTheory.Limits.Shapes.Kernels import Mathlib.CategoryTheory.Abelian.Basic import Mathlib.CategoryTheory.Subobject.Lattice import Mathlib.Order.Atoms #align_import category_theory.simple from "leanprover-community/mathlib"@"4ed0bcaef698011b0692b93a042a2282f490f6b6" noncomputable section open CategoryTheory.Limits namespace CategoryTheory universe v u variable {C : Type u} [Category.{v} C] section variable [HasZeroMorphisms C] class Simple (X : C) : Prop where mono_isIso_iff_nonzero : ∀ {Y : C} (f : Y ⟶ X) [Mono f], IsIso f ↔ f ≠ 0 #align category_theory.simple CategoryTheory.Simple theorem isIso_of_mono_of_nonzero {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : f ≠ 0) : IsIso f := (Simple.mono_isIso_iff_nonzero f).mpr w #align category_theory.is_iso_of_mono_of_nonzero CategoryTheory.isIso_of_mono_of_nonzero
Mathlib/CategoryTheory/Simple.lean
61
77
theorem Simple.of_iso {X Y : C} [Simple Y] (i : X ≅ Y) : Simple X := { mono_isIso_iff_nonzero := fun f m => by haveI : Mono (f ≫ i.hom) := mono_comp _ _ constructor · intro h w have j : IsIso (f ≫ i.hom) := by
infer_instance rw [Simple.mono_isIso_iff_nonzero] at j subst w simp at j · intro h have j : IsIso (f ≫ i.hom) := by apply isIso_of_mono_of_nonzero intro w apply h simpa using (cancel_mono i.inv).2 w rw [← Category.comp_id f, ← i.hom_inv_id, ← Category.assoc] infer_instance }
0
import Mathlib.Algebra.GeomSum import Mathlib.Algebra.Order.Archimedean import Mathlib.Algebra.Order.CauSeq.Basic #align_import data.real.cau_seq from "leanprover-community/mathlib"@"9116dd6709f303dcf781632e15fdef382b0fc579" open Finset IsAbsoluteValue namespace IsCauSeq variable {α β : Type*} [LinearOrderedField α] [Ring β] {abv : β → α} [IsAbsoluteValue abv] {f g : ℕ → β} {a : ℕ → α} lemma of_abv_le (n : ℕ) (hm : ∀ m, n ≤ m → abv (f m) ≤ a m) : IsCauSeq abs (fun n ↦ ∑ i ∈ range n, a i) → IsCauSeq abv fun n ↦ ∑ i ∈ range n, f i := by intro hg ε ε0 cases' hg (ε / 2) (div_pos ε0 (by norm_num)) with i hi exists max n i intro j ji have hi₁ := hi j (le_trans (le_max_right n i) ji) have hi₂ := hi (max n i) (le_max_right n i) have sub_le := abs_sub_le (∑ k ∈ range j, a k) (∑ k ∈ range i, a k) (∑ k ∈ range (max n i), a k) have := add_lt_add hi₁ hi₂ rw [abs_sub_comm (∑ k ∈ range (max n i), a k), add_halves ε] at this refine lt_of_le_of_lt (le_trans (le_trans ?_ (le_abs_self _)) sub_le) this generalize hk : j - max n i = k clear this hi₂ hi₁ hi ε0 ε hg sub_le rw [tsub_eq_iff_eq_add_of_le ji] at hk rw [hk] dsimp only clear hk ji j induction' k with k' hi · simp [abv_zero abv] simp only [Nat.succ_add, Nat.succ_eq_add_one, Finset.sum_range_succ_comm] simp only [add_assoc, sub_eq_add_neg] refine le_trans (abv_add _ _ _) ?_ simp only [sub_eq_add_neg] at hi exact add_le_add (hm _ (le_add_of_nonneg_of_le (Nat.zero_le _) (le_max_left _ _))) hi #align is_cau_series_of_abv_le_cau IsCauSeq.of_abv_le lemma of_abv (hf : IsCauSeq abs fun m ↦ ∑ n ∈ range m, abv (f n)) : IsCauSeq abv fun m ↦ ∑ n ∈ range m, f n := hf.of_abv_le 0 fun _ _ ↦ le_rfl #align is_cau_series_of_abv_cau IsCauSeq.of_abv
Mathlib/Algebra/Order/CauSeq/BigOperators.lean
57
141
theorem _root_.cauchy_product (ha : IsCauSeq abs fun m ↦ ∑ n ∈ range m, abv (f n)) (hb : IsCauSeq abv fun m ↦ ∑ n ∈ range m, g n) (ε : α) (ε0 : 0 < ε) : ∃ i : ℕ, ∀ j ≥ i, abv ((∑ k ∈ range j, f k) * ∑ k ∈ range j, g k - ∑ n ∈ range j, ∑ m ∈ range (n + 1), f m * g (n - m)) < ε := by
let ⟨P, hP⟩ := ha.bounded let ⟨Q, hQ⟩ := hb.bounded have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0) have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0) let ⟨N, hN⟩ := hb.cauchy₂ hPε0 have hQε0 : 0 < ε / (4 * Q) := div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0))) let ⟨M, hM⟩ := ha.cauchy₂ hQε0 refine ⟨2 * (max N M + 1), fun K hK ↦ ?_⟩ have h₁ : (∑ m ∈ range K, ∑ k ∈ range (m + 1), f k * g (m - k)) = ∑ m ∈ range K, ∑ n ∈ range (K - m), f m * g n := by simpa using sum_range_diag_flip K fun m n ↦ f m * g n have h₂ : (fun i ↦ ∑ k ∈ range (K - i), f i * g k) = fun i ↦ f i * ∑ k ∈ range (K - i), g k := by simp [Finset.mul_sum] have h₃ : ∑ i ∈ range K, f i * ∑ k ∈ range (K - i), g k = ∑ i ∈ range K, f i * (∑ k ∈ range (K - i), g k - ∑ k ∈ range K, g k) + ∑ i ∈ range K, f i * ∑ k ∈ range K, g k := by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm] have two_mul_two : (4 : α) = 2 * 2 := by norm_num have hQ0 : Q ≠ 0 := fun h ↦ by simp [h, lt_irrefl] at hQε0 have h2Q0 : 2 * Q ≠ 0 := mul_ne_zero two_ne_zero hQ0 have hε : ε / (2 * P) * P + ε / (4 * Q) * (2 * Q) = ε := by rw [← div_div, div_mul_cancel₀ _ (Ne.symm (ne_of_lt hP0)), two_mul_two, mul_assoc, ← div_div, div_mul_cancel₀ _ h2Q0, add_halves] have hNMK : max N M + 1 < K := lt_of_lt_of_le (by rw [two_mul]; exact lt_add_of_pos_left _ (Nat.succ_pos _)) hK have hKN : N < K := calc N ≤ max N M := le_max_left _ _ _ < max N M + 1 := Nat.lt_succ_self _ _ < K := hNMK have hsumlesum : (∑ i ∈ range (max N M + 1), abv (f i) * abv ((∑ k ∈ range (K - i), g k) - ∑ k ∈ range K, g k)) ≤ ∑ i ∈ range (max N M + 1), abv (f i) * (ε / (2 * P)) := by gcongr with m hmJ refine le_of_lt $ hN (K - m) (le_tsub_of_add_le_left $ hK.trans' ?_) K hKN.le rw [two_mul] gcongr · exact (mem_range.1 hmJ).le · exact Nat.le_succ_of_le (le_max_left _ _) have hsumltP : (∑ n ∈ range (max N M + 1), abv (f n)) < P := calc (∑ n ∈ range (max N M + 1), abv (f n)) = |∑ n ∈ range (max N M + 1), abv (f n)| := Eq.symm (abs_of_nonneg (sum_nonneg fun x _ ↦ abv_nonneg abv (f x))) _ < P := hP (max N M + 1) rw [h₁, h₂, h₃, sum_mul, ← sub_sub, sub_right_comm, sub_self, zero_sub, abv_neg abv] refine lt_of_le_of_lt (IsAbsoluteValue.abv_sum _ _ _) ?_ suffices (∑ i ∈ range (max N M + 1), abv (f i) * abv ((∑ k ∈ range (K - i), g k) - ∑ k ∈ range K, g k)) + ((∑ i ∈ range K, abv (f i) * abv ((∑ k ∈ range (K - i), g k) - ∑ k ∈ range K, g k)) - ∑ i ∈ range (max N M + 1), abv (f i) * abv ((∑ k ∈ range (K - i), g k) - ∑ k ∈ range K, g k)) < ε / (2 * P) * P + ε / (4 * Q) * (2 * Q) by rw [hε] at this simpa [abv_mul abv] using this gcongr · exact lt_of_le_of_lt hsumlesum (by rw [← sum_mul, mul_comm]; gcongr) rw [sum_range_sub_sum_range (le_of_lt hNMK)] calc (∑ i ∈ (range K).filter fun k ↦ max N M + 1 ≤ k, abv (f i) * abv ((∑ k ∈ range (K - i), g k) - ∑ k ∈ range K, g k)) ≤ ∑ i ∈ (range K).filter fun k ↦ max N M + 1 ≤ k, abv (f i) * (2 * Q) := by gcongr rw [sub_eq_add_neg] refine le_trans (abv_add _ _ _) ?_ rw [two_mul, abv_neg abv] gcongr <;> exact le_of_lt (hQ _) _ < ε / (4 * Q) * (2 * Q) := by rw [← sum_mul, ← sum_range_sub_sum_range (le_of_lt hNMK)] have := lt_of_le_of_lt (abv_nonneg _ _) (hQ 0) gcongr exact (le_abs_self _).trans_lt $ hM _ ((Nat.le_succ_of_le (le_max_right _ _)).trans hNMK.le) _ $ Nat.le_succ_of_le $ le_max_right _ _
0
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Induction #align_import data.polynomial.eval from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f" set_option linter.uppercaseLean3 false noncomputable section open Finset AddMonoidAlgebra open Polynomial namespace Polynomial universe u v w y variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} section variable [Semiring S] variable (f : R →+* S) (x : S) irreducible_def eval₂ (p : R[X]) : S := p.sum fun e a => f a * x ^ e #align polynomial.eval₂ Polynomial.eval₂ theorem eval₂_eq_sum {f : R →+* S} {x : S} : p.eval₂ f x = p.sum fun e a => f a * x ^ e := by rw [eval₂_def] #align polynomial.eval₂_eq_sum Polynomial.eval₂_eq_sum theorem eval₂_congr {R S : Type*} [Semiring R] [Semiring S] {f g : R →+* S} {s t : S} {φ ψ : R[X]} : f = g → s = t → φ = ψ → eval₂ f s φ = eval₂ g t ψ := by rintro rfl rfl rfl; rfl #align polynomial.eval₂_congr Polynomial.eval₂_congr @[simp] theorem eval₂_at_zero : p.eval₂ f 0 = f (coeff p 0) := by simp (config := { contextual := true }) only [eval₂_eq_sum, zero_pow_eq, mul_ite, mul_zero, mul_one, sum, Classical.not_not, mem_support_iff, sum_ite_eq', ite_eq_left_iff, RingHom.map_zero, imp_true_iff, eq_self_iff_true] #align polynomial.eval₂_at_zero Polynomial.eval₂_at_zero @[simp] theorem eval₂_zero : (0 : R[X]).eval₂ f x = 0 := by simp [eval₂_eq_sum] #align polynomial.eval₂_zero Polynomial.eval₂_zero @[simp] theorem eval₂_C : (C a).eval₂ f x = f a := by simp [eval₂_eq_sum] #align polynomial.eval₂_C Polynomial.eval₂_C @[simp] theorem eval₂_X : X.eval₂ f x = x := by simp [eval₂_eq_sum] #align polynomial.eval₂_X Polynomial.eval₂_X @[simp] theorem eval₂_monomial {n : ℕ} {r : R} : (monomial n r).eval₂ f x = f r * x ^ n := by simp [eval₂_eq_sum] #align polynomial.eval₂_monomial Polynomial.eval₂_monomial @[simp] theorem eval₂_X_pow {n : ℕ} : (X ^ n).eval₂ f x = x ^ n := by rw [X_pow_eq_monomial] convert eval₂_monomial f x (n := n) (r := 1) simp #align polynomial.eval₂_X_pow Polynomial.eval₂_X_pow @[simp] theorem eval₂_add : (p + q).eval₂ f x = p.eval₂ f x + q.eval₂ f x := by simp only [eval₂_eq_sum] apply sum_add_index <;> simp [add_mul] #align polynomial.eval₂_add Polynomial.eval₂_add @[simp] theorem eval₂_one : (1 : R[X]).eval₂ f x = 1 := by rw [← C_1, eval₂_C, f.map_one] #align polynomial.eval₂_one Polynomial.eval₂_one set_option linter.deprecated false in @[simp] theorem eval₂_bit0 : (bit0 p).eval₂ f x = bit0 (p.eval₂ f x) := by rw [bit0, eval₂_add, bit0] #align polynomial.eval₂_bit0 Polynomial.eval₂_bit0 set_option linter.deprecated false in @[simp] theorem eval₂_bit1 : (bit1 p).eval₂ f x = bit1 (p.eval₂ f x) := by rw [bit1, eval₂_add, eval₂_bit0, eval₂_one, bit1] #align polynomial.eval₂_bit1 Polynomial.eval₂_bit1 @[simp]
Mathlib/Algebra/Polynomial/Eval.lean
110
115
theorem eval₂_smul (g : R →+* S) (p : R[X]) (x : S) {s : R} : eval₂ g x (s • p) = g s * eval₂ g x p := by
have A : p.natDegree < p.natDegree.succ := Nat.lt_succ_self _ have B : (s • p).natDegree < p.natDegree.succ := (natDegree_smul_le _ _).trans_lt A rw [eval₂_eq_sum, eval₂_eq_sum, sum_over_range' _ _ _ A, sum_over_range' _ _ _ B] <;> simp [mul_sum, mul_assoc]
0
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 section Paths abbrev Hom.toPos {X Y : V} (f : X ⟶ Y) : (Quiver.symmetrifyQuiver V).Hom X Y := Sum.inl f #align quiver.hom.to_pos Quiver.Hom.toPos abbrev Hom.toNeg {X Y : V} (f : X ⟶ Y) : (Quiver.symmetrifyQuiver V).Hom Y X := Sum.inr f #align quiver.hom.to_neg Quiver.Hom.toNeg @[simp] def Path.reverse [HasReverse V] {a : V} : ∀ {b}, Path a b → Path b a | _, Path.nil => Path.nil | _, Path.cons p e => (Quiver.reverse e).toPath.comp p.reverse #align quiver.path.reverse Quiver.Path.reverse @[simp] theorem Path.reverse_toPath [HasReverse V] {a b : V} (f : a ⟶ b) : f.toPath.reverse = (Quiver.reverse f).toPath := rfl #align quiver.path.reverse_to_path Quiver.Path.reverse_toPath @[simp] theorem Path.reverse_comp [HasReverse V] {a b c : V} (p : Path a b) (q : Path b c) : (p.comp q).reverse = q.reverse.comp p.reverse := by induction' q with _ _ _ _ h · simp · simp [h] #align quiver.path.reverse_comp Quiver.Path.reverse_comp @[simp]
Mathlib/Combinatorics/Quiver/Symmetric.lean
158
163
theorem Path.reverse_reverse [h : HasInvolutiveReverse V] {a b : V} (p : Path a b) : p.reverse.reverse = p := by
induction' p with _ _ _ _ h · simp · rw [Path.reverse, Path.reverse_comp, h, Path.reverse_toPath, Quiver.reverse_reverse] rfl
0
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral namespace Complex noncomputable def betaIntegral (u v : ℂ) : ℂ := ∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) #align complex.beta_integral Complex.betaIntegral theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by apply IntervalIntegrable.mul_continuousOn · refine intervalIntegral.intervalIntegrable_cpow' ?_ rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right] · apply ContinuousAt.continuousOn intro x hx rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx apply ContinuousAt.cpow · exact (continuous_const.sub continuous_ofReal).continuousAt · exact continuousAt_const · norm_cast exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2] #align complex.beta_integral_convergent_left Complex.betaIntegral_convergent_left
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
80
90
theorem betaIntegral_convergent {u v : ℂ} (hu : 0 < re u) (hv : 0 < re v) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 1 := by
refine (betaIntegral_convergent_left hu v).trans ?_ rw [IntervalIntegrable.iff_comp_neg] convert ((betaIntegral_convergent_left hv u).comp_add_right 1).symm using 1 · ext1 x conv_lhs => rw [mul_comm] congr 2 <;> · push_cast; ring · norm_num · norm_num
0
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Algebra.Order.Archimedean import Mathlib.Data.Set.Lattice #align_import group_theory.archimedean from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6" open Set variable {G : Type*} [LinearOrderedAddCommGroup G] [Archimedean G]
Mathlib/GroupTheory/Archimedean.lean
40
54
theorem AddSubgroup.cyclic_of_min {H : AddSubgroup G} {a : G} (ha : IsLeast { g : G | g ∈ H ∧ 0 < g } a) : H = AddSubgroup.closure {a} := by
obtain ⟨⟨a_in, a_pos⟩, a_min⟩ := ha refine le_antisymm ?_ (H.closure_le.mpr <| by simp [a_in]) intro g g_in obtain ⟨k, ⟨nonneg, lt⟩, _⟩ := existsUnique_zsmul_near_of_pos' a_pos g have h_zero : g - k • a = 0 := by by_contra h have h : a ≤ g - k • a := by refine a_min ⟨?_, ?_⟩ · exact AddSubgroup.sub_mem H g_in (AddSubgroup.zsmul_mem H a_in k) · exact lt_of_le_of_ne nonneg (Ne.symm h) have h' : ¬a ≤ g - k • a := not_le.mpr lt contradiction simp [sub_eq_zero.mp h_zero, AddSubgroup.mem_closure_singleton]
0
import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Independent #align_import analysis.convex.simplicial_complex.basic from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open Finset Set variable (𝕜 E : Type*) {ι : Type*} [OrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E] namespace Geometry -- TODO: update to new binder order? not sure what binder order is correct for `down_closed`. @[ext] structure SimplicialComplex where faces : Set (Finset E) not_empty_mem : ∅ ∉ faces indep : ∀ {s}, s ∈ faces → AffineIndependent 𝕜 ((↑) : s → E) down_closed : ∀ {s t}, s ∈ faces → t ⊆ s → t ≠ ∅ → t ∈ faces inter_subset_convexHull : ∀ {s t}, s ∈ faces → t ∈ faces → convexHull 𝕜 ↑s ∩ convexHull 𝕜 ↑t ⊆ convexHull 𝕜 (s ∩ t : Set E) #align geometry.simplicial_complex Geometry.SimplicialComplex namespace SimplicialComplex variable {𝕜 E} variable {K : SimplicialComplex 𝕜 E} {s t : Finset E} {x : E} instance : Membership (Finset E) (SimplicialComplex 𝕜 E) := ⟨fun s K => s ∈ K.faces⟩ def space (K : SimplicialComplex 𝕜 E) : Set E := ⋃ s ∈ K.faces, convexHull 𝕜 (s : Set E) #align geometry.simplicial_complex.space Geometry.SimplicialComplex.space -- Porting note: Expanded `∃ s ∈ K.faces` to get the type to match more closely with Lean 3 theorem mem_space_iff : x ∈ K.space ↔ ∃ s ∈ K.faces, x ∈ convexHull 𝕜 (s : Set E) := by simp [space] #align geometry.simplicial_complex.mem_space_iff Geometry.SimplicialComplex.mem_space_iff -- Porting note: Original proof was `:= subset_biUnion_of_mem hs` theorem convexHull_subset_space (hs : s ∈ K.faces) : convexHull 𝕜 ↑s ⊆ K.space := by convert subset_biUnion_of_mem hs rfl #align geometry.simplicial_complex.convex_hull_subset_space Geometry.SimplicialComplex.convexHull_subset_space protected theorem subset_space (hs : s ∈ K.faces) : (s : Set E) ⊆ K.space := (subset_convexHull 𝕜 _).trans <| convexHull_subset_space hs #align geometry.simplicial_complex.subset_space Geometry.SimplicialComplex.subset_space theorem convexHull_inter_convexHull (hs : s ∈ K.faces) (ht : t ∈ K.faces) : convexHull 𝕜 ↑s ∩ convexHull 𝕜 ↑t = convexHull 𝕜 (s ∩ t : Set E) := (K.inter_subset_convexHull hs ht).antisymm <| subset_inter (convexHull_mono Set.inter_subset_left) <| convexHull_mono Set.inter_subset_right #align geometry.simplicial_complex.convex_hull_inter_convex_hull Geometry.SimplicialComplex.convexHull_inter_convexHull
Mathlib/Analysis/Convex/SimplicialComplex/Basic.lean
110
119
theorem disjoint_or_exists_inter_eq_convexHull (hs : s ∈ K.faces) (ht : t ∈ K.faces) : Disjoint (convexHull 𝕜 (s : Set E)) (convexHull 𝕜 ↑t) ∨ ∃ u ∈ K.faces, convexHull 𝕜 (s : Set E) ∩ convexHull 𝕜 ↑t = convexHull 𝕜 ↑u := by
classical by_contra! h refine h.2 (s ∩ t) (K.down_closed hs inter_subset_left fun hst => h.1 <| disjoint_iff_inf_le.mpr <| (K.inter_subset_convexHull hs ht).trans ?_) ?_ · rw [← coe_inter, hst, coe_empty, convexHull_empty] rfl · rw [coe_inter, convexHull_inter_convexHull hs ht]
0
import Mathlib.MeasureTheory.Covering.VitaliFamily import Mathlib.MeasureTheory.Measure.Regular import Mathlib.MeasureTheory.Function.AEMeasurableOrder import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.MeasureTheory.Integral.Average import Mathlib.MeasureTheory.Decomposition.Lebesgue #align_import measure_theory.covering.differentiation from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure open scoped Filter ENNReal MeasureTheory NNReal Topology variable {α : Type*} [MetricSpace α] {m0 : MeasurableSpace α} {μ : Measure α} (v : VitaliFamily μ) {E : Type*} [NormedAddCommGroup E] namespace VitaliFamily noncomputable def limRatio (ρ : Measure α) (x : α) : ℝ≥0∞ := limUnder (v.filterAt x) fun a => ρ a / μ a #align vitali_family.lim_ratio VitaliFamily.limRatio theorem ae_eventually_measure_pos [SecondCountableTopology α] : ∀ᵐ x ∂μ, ∀ᶠ a in v.filterAt x, 0 < μ a := by set s := {x | ¬∀ᶠ a in v.filterAt x, 0 < μ a} with hs simp (config := { zeta := false }) only [not_lt, not_eventually, nonpos_iff_eq_zero] at hs change μ s = 0 let f : α → Set (Set α) := fun _ => {a | μ a = 0} have h : v.FineSubfamilyOn f s := by intro x hx ε εpos rw [hs] at hx simp only [frequently_filterAt_iff, exists_prop, gt_iff_lt, mem_setOf_eq] at hx rcases hx ε εpos with ⟨a, a_sets, ax, μa⟩ exact ⟨a, ⟨a_sets, μa⟩, ax⟩ refine le_antisymm ?_ bot_le calc μ s ≤ ∑' x : h.index, μ (h.covering x) := h.measure_le_tsum _ = ∑' x : h.index, 0 := by congr; ext1 x; exact h.covering_mem x.2 _ = 0 := by simp only [tsum_zero, add_zero] #align vitali_family.ae_eventually_measure_pos VitaliFamily.ae_eventually_measure_pos theorem eventually_measure_lt_top [IsLocallyFiniteMeasure μ] (x : α) : ∀ᶠ a in v.filterAt x, μ a < ∞ := (μ.finiteAt_nhds x).eventually.filter_mono inf_le_left #align vitali_family.eventually_measure_lt_top VitaliFamily.eventually_measure_lt_top
Mathlib/MeasureTheory/Covering/Differentiation.lean
125
149
theorem measure_le_of_frequently_le [SecondCountableTopology α] [BorelSpace α] {ρ : Measure α} (ν : Measure α) [IsLocallyFiniteMeasure ν] (hρ : ρ ≪ μ) (s : Set α) (hs : ∀ x ∈ s, ∃ᶠ a in v.filterAt x, ρ a ≤ ν a) : ρ s ≤ ν s := by
-- this follows from a covering argument using the sets satisfying `ρ a ≤ ν a`. apply ENNReal.le_of_forall_pos_le_add fun ε εpos _ => ?_ obtain ⟨U, sU, U_open, νU⟩ : ∃ (U : Set α), s ⊆ U ∧ IsOpen U ∧ ν U ≤ ν s + ε := exists_isOpen_le_add s ν (ENNReal.coe_pos.2 εpos).ne' let f : α → Set (Set α) := fun _ => {a | ρ a ≤ ν a ∧ a ⊆ U} have h : v.FineSubfamilyOn f s := by apply v.fineSubfamilyOn_of_frequently f s fun x hx => ?_ have := (hs x hx).and_eventually ((v.eventually_filterAt_mem_setsAt x).and (v.eventually_filterAt_subset_of_nhds (U_open.mem_nhds (sU hx)))) apply Frequently.mono this rintro a ⟨ρa, _, aU⟩ exact ⟨ρa, aU⟩ haveI : Encodable h.index := h.index_countable.toEncodable calc ρ s ≤ ∑' x : h.index, ρ (h.covering x) := h.measure_le_tsum_of_absolutelyContinuous hρ _ ≤ ∑' x : h.index, ν (h.covering x) := ENNReal.tsum_le_tsum fun x => (h.covering_mem x.2).1 _ = ν (⋃ x : h.index, h.covering x) := by rw [measure_iUnion h.covering_disjoint_subtype fun i => h.measurableSet_u i.2] _ ≤ ν U := (measure_mono (iUnion_subset fun i => (h.covering_mem i.2).2)) _ ≤ ν s + ε := νU
0
import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ] #align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α) (h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy => Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy) #align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s) (hx : x ∈ s) : LowerSemicontinuousWithinAt f s x := h x hx #align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) : LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst #align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff] #align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) : LowerSemicontinuousAt f x := h x #align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α) (x : α) : LowerSemicontinuousWithinAt f s x := (h x).lowerSemicontinuousWithinAt s #align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) : LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x #align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_at_const lowerSemicontinuousAt_const theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx => lowerSemicontinuousWithinAt_const #align lower_semicontinuous_on_const lowerSemicontinuousOn_const theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x => lowerSemicontinuousAt_const #align lower_semicontinuous_const lowerSemicontinuous_const section variable [Zero β]
Mathlib/Topology/Semicontinuous.lean
213
220
theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuous (indicator s fun _x => y) := by
intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · filter_upwards [hs.mem_nhds h] simp (config := { contextual := true }) [hz] · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz]
0
import Mathlib.Algebra.Order.CauSeq.Basic #align_import data.real.cau_seq_completion from "leanprover-community/mathlib"@"cf4c49c445991489058260d75dae0ff2b1abca28" variable {α : Type*} [LinearOrderedField α] namespace CauSeq section variable (β : Type*) [Ring β] (abv : β → α) [IsAbsoluteValue abv] class IsComplete : Prop where isComplete : ∀ s : CauSeq β abv, ∃ b : β, s ≈ const abv b #align cau_seq.is_complete CauSeq.IsComplete #align cau_seq.is_complete.is_complete CauSeq.IsComplete.isComplete end section variable {β : Type*} [Ring β] {abv : β → α} [IsAbsoluteValue abv] variable [IsComplete β abv] theorem complete : ∀ s : CauSeq β abv, ∃ b : β, s ≈ const abv b := IsComplete.isComplete #align cau_seq.complete CauSeq.complete noncomputable def lim (s : CauSeq β abv) : β := Classical.choose (complete s) #align cau_seq.lim CauSeq.lim theorem equiv_lim (s : CauSeq β abv) : s ≈ const abv (lim s) := Classical.choose_spec (complete s) #align cau_seq.equiv_lim CauSeq.equiv_lim theorem eq_lim_of_const_equiv {f : CauSeq β abv} {x : β} (h : CauSeq.const abv x ≈ f) : x = lim f := const_equiv.mp <| Setoid.trans h <| equiv_lim f #align cau_seq.eq_lim_of_const_equiv CauSeq.eq_lim_of_const_equiv theorem lim_eq_of_equiv_const {f : CauSeq β abv} {x : β} (h : f ≈ CauSeq.const abv x) : lim f = x := (eq_lim_of_const_equiv <| Setoid.symm h).symm #align cau_seq.lim_eq_of_equiv_const CauSeq.lim_eq_of_equiv_const theorem lim_eq_lim_of_equiv {f g : CauSeq β abv} (h : f ≈ g) : lim f = lim g := lim_eq_of_equiv_const <| Setoid.trans h <| equiv_lim g #align cau_seq.lim_eq_lim_of_equiv CauSeq.lim_eq_lim_of_equiv @[simp] theorem lim_const (x : β) : lim (const abv x) = x := lim_eq_of_equiv_const <| Setoid.refl _ #align cau_seq.lim_const CauSeq.lim_const theorem lim_add (f g : CauSeq β abv) : lim f + lim g = lim (f + g) := eq_lim_of_const_equiv <| show LimZero (const abv (lim f + lim g) - (f + g)) by rw [const_add, add_sub_add_comm] exact add_limZero (Setoid.symm (equiv_lim f)) (Setoid.symm (equiv_lim g)) #align cau_seq.lim_add CauSeq.lim_add theorem lim_mul_lim (f g : CauSeq β abv) : lim f * lim g = lim (f * g) := eq_lim_of_const_equiv <| show LimZero (const abv (lim f * lim g) - f * g) by have h : const abv (lim f * lim g) - f * g = (const abv (lim f) - f) * g + const abv (lim f) * (const abv (lim g) - g) := by apply Subtype.ext rw [coe_add] simp [sub_mul, mul_sub] rw [h] exact add_limZero (mul_limZero_left _ (Setoid.symm (equiv_lim _))) (mul_limZero_right _ (Setoid.symm (equiv_lim _))) #align cau_seq.lim_mul_lim CauSeq.lim_mul_lim theorem lim_mul (f : CauSeq β abv) (x : β) : lim f * x = lim (f * const abv x) := by rw [← lim_mul_lim, lim_const] #align cau_seq.lim_mul CauSeq.lim_mul theorem lim_neg (f : CauSeq β abv) : lim (-f) = -lim f := lim_eq_of_equiv_const (show LimZero (-f - const abv (-lim f)) by rw [const_neg, sub_neg_eq_add, add_comm, ← sub_eq_add_neg] exact Setoid.symm (equiv_lim f)) #align cau_seq.lim_neg CauSeq.lim_neg theorem lim_eq_zero_iff (f : CauSeq β abv) : lim f = 0 ↔ LimZero f := ⟨fun h => by have hf := equiv_lim f rw [h] at hf exact (limZero_congr hf).mpr (const_limZero.mpr rfl), fun h => by have h₁ : f = f - const abv 0 := ext fun n => by simp [sub_apply, const_apply] rw [h₁] at h exact lim_eq_of_equiv_const h⟩ #align cau_seq.lim_eq_zero_iff CauSeq.lim_eq_zero_iff end section variable {β : Type*} [Field β] {abv : β → α} [IsAbsoluteValue abv] [IsComplete β abv]
Mathlib/Algebra/Order/CauSeq/Completion.lean
413
436
theorem lim_inv {f : CauSeq β abv} (hf : ¬LimZero f) : lim (inv f hf) = (lim f)⁻¹ := have hl : lim f ≠ 0 := by
rwa [← lim_eq_zero_iff] at hf lim_eq_of_equiv_const <| show LimZero (inv f hf - const abv (lim f)⁻¹) from have h₁ : ∀ (g f : CauSeq β abv) (hf : ¬LimZero f), LimZero (g - f * inv f hf * g) := fun g f hf => by have h₂ : g - f * inv f hf * g = 1 * g - f * inv f hf * g := by rw [one_mul g] have h₃ : f * inv f hf * g = (f * inv f hf) * g := by simp [mul_assoc] have h₄ : g - f * inv f hf * g = (1 - f * inv f hf) * g := by rw [h₂, h₃, ← sub_mul] have h₅ : g - f * inv f hf * g = g * (1 - f * inv f hf) := by rw [h₄, mul_comm] have h₆ : g - f * inv f hf * g = g * (1 - inv f hf * f) := by rw [h₅, mul_comm f] rw [h₆]; exact mul_limZero_right _ (Setoid.symm (CauSeq.inv_mul_cancel _)) have h₂ : LimZero (inv f hf - const abv (lim f)⁻¹ - (const abv (lim f) - f) * (inv f hf * const abv (lim f)⁻¹)) := by rw [sub_mul, ← sub_add, sub_sub, sub_add_eq_sub_sub, sub_right_comm, sub_add] show LimZero (inv f hf - const abv (lim f) * (inv f hf * const abv (lim f)⁻¹) - (const abv (lim f)⁻¹ - f * (inv f hf * const abv (lim f)⁻¹))) exact sub_limZero (by rw [← mul_assoc, mul_right_comm, const_inv hl]; exact h₁ _ _ _) (by rw [← mul_assoc]; exact h₁ _ _ _) (limZero_congr h₂).mpr <| mul_limZero_left _ (Setoid.symm (equiv_lim f))
0
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat import Mathlib.RepresentationTheory.GroupCohomology.Basic import Mathlib.RepresentationTheory.Invariants universe v u noncomputable section open CategoryTheory Limits Representation variable {k G : Type u} [CommRing k] [Group G] (A : Rep k G) namespace groupCohomology section IsMulCocycle section variable {G M : Type*} [Mul G] [CommGroup M] [SMul G M] def IsMulOneCocycle (f : G → M) : Prop := ∀ g h : G, f (g * h) = g • f h * f g def IsMulTwoCocycle (f : G × G → M) : Prop := ∀ g h j : G, f (g * h, j) * f (g, h) = g • (f (h, j)) * f (g, h * j) end section variable {G M : Type*} [Monoid G] [CommGroup M] [MulAction G M] theorem map_one_of_isMulOneCocycle {f : G → M} (hf : IsMulOneCocycle f) : f 1 = 1 := by simpa only [mul_one, one_smul, self_eq_mul_right] using hf 1 1 theorem map_one_fst_of_isMulTwoCocycle {f : G × G → M} (hf : IsMulTwoCocycle f) (g : G) : f (1, g) = f (1, 1) := by simpa only [one_smul, one_mul, mul_one, mul_right_inj] using (hf 1 1 g).symm theorem map_one_snd_of_isMulTwoCocycle {f : G × G → M} (hf : IsMulTwoCocycle f) (g : G) : f (g, 1) = g • f (1, 1) := by simpa only [mul_one, mul_left_inj] using hf g 1 1 end section variable {G M : Type*} [Group G] [CommGroup M] [MulAction G M] @[simp] theorem map_inv_of_isMulOneCocycle {f : G → M} (hf : IsMulOneCocycle f) (g : G) : g • f g⁻¹ = (f g)⁻¹ := by rw [← mul_eq_one_iff_eq_inv, ← map_one_of_isMulOneCocycle hf, ← mul_inv_self g, hf g g⁻¹]
Mathlib/RepresentationTheory/GroupCohomology/LowDegree.lean
546
551
theorem smul_map_inv_div_map_inv_of_isMulTwoCocycle {f : G × G → M} (hf : IsMulTwoCocycle f) (g : G) : g • f (g⁻¹, g) / f (g, g⁻¹) = f (1, 1) / f (g, 1) := by
have := hf g g⁻¹ g simp only [mul_right_inv, mul_left_inv, map_one_fst_of_isMulTwoCocycle hf g] at this exact div_eq_div_iff_mul_eq_mul.2 this.symm
0
import Mathlib.Algebra.Order.Ring.Int #align_import data.int.least_greatest from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d" namespace Int def leastOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → b ≤ z) (Hinh : ∃ z : ℤ, P z) : { lb : ℤ // P lb ∧ ∀ z : ℤ, P z → lb ≤ z } := have EX : ∃ n : ℕ, P (b + n) := let ⟨elt, Helt⟩ := Hinh match elt, le.dest (Hb _ Helt), Helt with | _, ⟨n, rfl⟩, Hn => ⟨n, Hn⟩ ⟨b + (Nat.find EX : ℤ), Nat.find_spec EX, fun z h => match z, le.dest (Hb _ h), h with | _, ⟨_, rfl⟩, h => add_le_add_left (Int.ofNat_le.2 <| Nat.find_min' _ h) _⟩ #align int.least_of_bdd Int.leastOfBdd
Mathlib/Data/Int/LeastGreatest.lean
61
68
theorem exists_least_of_bdd {P : ℤ → Prop} (Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → b ≤ z) (Hinh : ∃ z : ℤ , P z) : ∃ lb : ℤ , P lb ∧ ∀ z : ℤ , P z → lb ≤ z := by
classical let ⟨b , Hb⟩ := Hbdd let ⟨lb , H⟩ := leastOfBdd b Hb Hinh exact ⟨lb , H⟩
0
import Mathlib.GroupTheory.QuotientGroup import Mathlib.GroupTheory.Solvable import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.Sylow import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Tactic.TFAE #align_import group_theory.nilpotent from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e" open Subgroup section WithGroup variable {G : Type*} [Group G] (H : Subgroup G) [Normal H] def upperCentralSeriesStep : Subgroup G where carrier := { x : G | ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ H } one_mem' y := by simp [Subgroup.one_mem] mul_mem' {a b ha hb y} := by convert Subgroup.mul_mem _ (ha (b * y * b⁻¹)) (hb y) using 1 group inv_mem' {x hx y} := by specialize hx y⁻¹ rw [mul_assoc, inv_inv] at hx ⊢ exact Subgroup.Normal.mem_comm inferInstance hx #align upper_central_series_step upperCentralSeriesStep theorem mem_upperCentralSeriesStep (x : G) : x ∈ upperCentralSeriesStep H ↔ ∀ y, x * y * x⁻¹ * y⁻¹ ∈ H := Iff.rfl #align mem_upper_central_series_step mem_upperCentralSeriesStep open QuotientGroup
Mathlib/GroupTheory/Nilpotent.lean
112
119
theorem upperCentralSeriesStep_eq_comap_center : upperCentralSeriesStep H = Subgroup.comap (mk' H) (center (G ⧸ H)) := by
ext rw [mem_comap, mem_center_iff, forall_mk] apply forall_congr' intro y rw [coe_mk', ← QuotientGroup.mk_mul, ← QuotientGroup.mk_mul, eq_comm, eq_iff_div_mem, div_eq_mul_inv, mul_inv_rev, mul_assoc]
0
import Mathlib.Algebra.Group.Commute.Units import Mathlib.Algebra.Group.Int import Mathlib.Algebra.GroupWithZero.Semiconj import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.int.gcd from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47" namespace Nat def xgcdAux : ℕ → ℤ → ℤ → ℕ → ℤ → ℤ → ℕ × ℤ × ℤ | 0, _, _, r', s', t' => (r', s', t') | succ k, s, t, r', s', t' => let q := r' / succ k xgcdAux (r' % succ k) (s' - q * s) (t' - q * t) (succ k) s t termination_by k => k decreasing_by exact mod_lt _ <| (succ_pos _).gt #align nat.xgcd_aux Nat.xgcdAux @[simp] theorem xgcd_zero_left {s t r' s' t'} : xgcdAux 0 s t r' s' t' = (r', s', t') := by simp [xgcdAux] #align nat.xgcd_zero_left Nat.xgcd_zero_left theorem xgcdAux_rec {r s t r' s' t'} (h : 0 < r) : xgcdAux r s t r' s' t' = xgcdAux (r' % r) (s' - r' / r * s) (t' - r' / r * t) r s t := by obtain ⟨r, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h.ne' simp [xgcdAux] #align nat.xgcd_aux_rec Nat.xgcdAux_rec def xgcd (x y : ℕ) : ℤ × ℤ := (xgcdAux x 1 0 y 0 1).2 #align nat.xgcd Nat.xgcd def gcdA (x y : ℕ) : ℤ := (xgcd x y).1 #align nat.gcd_a Nat.gcdA def gcdB (x y : ℕ) : ℤ := (xgcd x y).2 #align nat.gcd_b Nat.gcdB @[simp] theorem gcdA_zero_left {s : ℕ} : gcdA 0 s = 0 := by unfold gcdA rw [xgcd, xgcd_zero_left] #align nat.gcd_a_zero_left Nat.gcdA_zero_left @[simp] theorem gcdB_zero_left {s : ℕ} : gcdB 0 s = 1 := by unfold gcdB rw [xgcd, xgcd_zero_left] #align nat.gcd_b_zero_left Nat.gcdB_zero_left @[simp] theorem gcdA_zero_right {s : ℕ} (h : s ≠ 0) : gcdA s 0 = 1 := by unfold gcdA xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_a_zero_right Nat.gcdA_zero_right @[simp] theorem gcdB_zero_right {s : ℕ} (h : s ≠ 0) : gcdB s 0 = 0 := by unfold gcdB xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_b_zero_right Nat.gcdB_zero_right @[simp] theorem xgcdAux_fst (x y) : ∀ s t s' t', (xgcdAux x s t y s' t').1 = gcd x y := gcd.induction x y (by simp) fun x y h IH s t s' t' => by simp only [h, xgcdAux_rec, IH] rw [← gcd_rec] #align nat.xgcd_aux_fst Nat.xgcdAux_fst theorem xgcdAux_val (x y) : xgcdAux x 1 0 y 0 1 = (gcd x y, xgcd x y) := by rw [xgcd, ← xgcdAux_fst x y 1 0 0 1] #align nat.xgcd_aux_val Nat.xgcdAux_val theorem xgcd_val (x y) : xgcd x y = (gcdA x y, gcdB x y) := by unfold gcdA gcdB; cases xgcd x y; rfl #align nat.xgcd_val Nat.xgcd_val section variable (x y : ℕ) private def P : ℕ × ℤ × ℤ → Prop | (r, s, t) => (r : ℤ) = x * s + y * t theorem xgcdAux_P {r r'} : ∀ {s t s' t'}, P x y (r, s, t) → P x y (r', s', t') → P x y (xgcdAux r s t r' s' t') := by induction r, r' using gcd.induction with | H0 => simp | H1 a b h IH => intro s t s' t' p p' rw [xgcdAux_rec h]; refine IH ?_ p; dsimp [P] at * rw [Int.emod_def]; generalize (b / a : ℤ) = k rw [p, p', Int.mul_sub, sub_add_eq_add_sub, Int.mul_sub, Int.add_mul, mul_comm k t, mul_comm k s, ← mul_assoc, ← mul_assoc, add_comm (x * s * k), ← add_sub_assoc, sub_sub] set_option linter.uppercaseLean3 false in #align nat.xgcd_aux_P Nat.xgcdAux_P theorem gcd_eq_gcd_ab : (gcd x y : ℤ) = x * gcdA x y + y * gcdB x y := by have := @xgcdAux_P x y x y 1 0 0 1 (by simp [P]) (by simp [P]) rwa [xgcdAux_val, xgcd_val] at this #align nat.gcd_eq_gcd_ab Nat.gcd_eq_gcd_ab end
Mathlib/Data/Int/GCD.lean
146
154
theorem exists_mul_emod_eq_gcd {k n : ℕ} (hk : gcd n k < k) : ∃ m, n * m % k = gcd n k := by
have hk' := Int.ofNat_ne_zero.2 (ne_of_gt (lt_of_le_of_lt (zero_le (gcd n k)) hk)) have key := congr_arg (fun (m : ℤ) => (m % k).toNat) (gcd_eq_gcd_ab n k) simp only at key rw [Int.add_mul_emod_self_left, ← Int.natCast_mod, Int.toNat_natCast, mod_eq_of_lt hk] at key refine ⟨(n.gcdA k % k).toNat, Eq.trans (Int.ofNat.inj ?_) key.symm⟩ rw [Int.ofNat_eq_coe, Int.natCast_mod, Int.ofNat_mul, Int.toNat_of_nonneg (Int.emod_nonneg _ hk'), Int.ofNat_eq_coe, Int.toNat_of_nonneg (Int.emod_nonneg _ hk'), Int.mul_emod, Int.emod_emod, ← Int.mul_emod]
0
import Mathlib.GroupTheory.Abelianization import Mathlib.GroupTheory.Exponent import Mathlib.GroupTheory.Transfer #align_import group_theory.schreier from "leanprover-community/mathlib"@"8350c34a64b9bc3fc64335df8006bffcadc7baa6" open scoped Pointwise namespace Subgroup open MemRightTransversals variable {G : Type*} [Group G] {H : Subgroup G} {R S : Set G} theorem closure_mul_image_mul_eq_top (hR : R ∈ rightTransversals (H : Set G)) (hR1 : (1 : G) ∈ R) (hS : closure S = ⊤) : (closure ((R * S).image fun g => g * (toFun hR g : G)⁻¹)) * R = ⊤ := by let f : G → R := fun g => toFun hR g let U : Set G := (R * S).image fun g => g * (f g : G)⁻¹ change (closure U : Set G) * R = ⊤ refine top_le_iff.mp fun g _ => ?_ refine closure_induction_right ?_ ?_ ?_ (eq_top_iff.mp hS (mem_top g)) · exact ⟨1, (closure U).one_mem, 1, hR1, one_mul 1⟩ · rintro - - s hs ⟨u, hu, r, hr, rfl⟩ rw [show u * r * s = u * (r * s * (f (r * s) : G)⁻¹) * f (r * s) by group] refine Set.mul_mem_mul ((closure U).mul_mem hu ?_) (f (r * s)).coe_prop exact subset_closure ⟨r * s, Set.mul_mem_mul hr hs, rfl⟩ · rintro - - s hs ⟨u, hu, r, hr, rfl⟩ rw [show u * r * s⁻¹ = u * (f (r * s⁻¹) * s * r⁻¹)⁻¹ * f (r * s⁻¹) by group] refine Set.mul_mem_mul ((closure U).mul_mem hu ((closure U).inv_mem ?_)) (f (r * s⁻¹)).2 refine subset_closure ⟨f (r * s⁻¹) * s, Set.mul_mem_mul (f (r * s⁻¹)).2 hs, ?_⟩ rw [mul_right_inj, inv_inj, ← Subtype.coe_mk r hr, ← Subtype.ext_iff, Subtype.coe_mk] apply (mem_rightTransversals_iff_existsUnique_mul_inv_mem.mp hR (f (r * s⁻¹) * s)).unique (mul_inv_toFun_mem hR (f (r * s⁻¹) * s)) rw [mul_assoc, ← inv_inv s, ← mul_inv_rev, inv_inv] exact toFun_mul_inv_mem hR (r * s⁻¹) #align subgroup.closure_mul_image_mul_eq_top Subgroup.closure_mul_image_mul_eq_top
Mathlib/GroupTheory/Schreier.lean
64
79
theorem closure_mul_image_eq (hR : R ∈ rightTransversals (H : Set G)) (hR1 : (1 : G) ∈ R) (hS : closure S = ⊤) : closure ((R * S).image fun g => g * (toFun hR g : G)⁻¹) = H := by
have hU : closure ((R * S).image fun g => g * (toFun hR g : G)⁻¹) ≤ H := by rw [closure_le] rintro - ⟨g, -, rfl⟩ exact mul_inv_toFun_mem hR g refine le_antisymm hU fun h hh => ?_ obtain ⟨g, hg, r, hr, rfl⟩ := show h ∈ _ from eq_top_iff.mp (closure_mul_image_mul_eq_top hR hR1 hS) (mem_top h) suffices (⟨r, hr⟩ : R) = (⟨1, hR1⟩ : R) by simpa only [show r = 1 from Subtype.ext_iff.mp this, mul_one] apply (mem_rightTransversals_iff_existsUnique_mul_inv_mem.mp hR r).unique · rw [Subtype.coe_mk, mul_inv_self] exact H.one_mem · rw [Subtype.coe_mk, inv_one, mul_one] exact (H.mul_mem_cancel_left (hU hg)).mp hh
0
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral namespace Complex noncomputable def betaIntegral (u v : ℂ) : ℂ := ∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) #align complex.beta_integral Complex.betaIntegral
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
63
76
theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by
apply IntervalIntegrable.mul_continuousOn · refine intervalIntegral.intervalIntegrable_cpow' ?_ rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right] · apply ContinuousAt.continuousOn intro x hx rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx apply ContinuousAt.cpow · exact (continuous_const.sub continuous_ofReal).continuousAt · exact continuousAt_const · norm_cast exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2]
0
import Mathlib.Analysis.Convex.Hull #align_import analysis.convex.extreme from "leanprover-community/mathlib"@"c5773405394e073885e2a144c9ca14637e8eb963" open Function Set open scoped Classical open Affine variable {𝕜 E F ι : Type*} {π : ι → Type*} section SMul variable (𝕜) [OrderedSemiring 𝕜] [AddCommMonoid E] [SMul 𝕜 E] def IsExtreme (A B : Set E) : Prop := B ⊆ A ∧ ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → ∀ ⦃x⦄, x ∈ B → x ∈ openSegment 𝕜 x₁ x₂ → x₁ ∈ B ∧ x₂ ∈ B #align is_extreme IsExtreme def Set.extremePoints (A : Set E) : Set E := { x ∈ A | ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → x ∈ openSegment 𝕜 x₁ x₂ → x₁ = x ∧ x₂ = x } #align set.extreme_points Set.extremePoints @[refl] protected theorem IsExtreme.refl (A : Set E) : IsExtreme 𝕜 A A := ⟨Subset.rfl, fun _ hx₁A _ hx₂A _ _ _ ↦ ⟨hx₁A, hx₂A⟩⟩ #align is_extreme.refl IsExtreme.refl variable {𝕜} {A B C : Set E} {x : E} protected theorem IsExtreme.rfl : IsExtreme 𝕜 A A := IsExtreme.refl 𝕜 A #align is_extreme.rfl IsExtreme.rfl @[trans] protected theorem IsExtreme.trans (hAB : IsExtreme 𝕜 A B) (hBC : IsExtreme 𝕜 B C) : IsExtreme 𝕜 A C := by refine ⟨Subset.trans hBC.1 hAB.1, fun x₁ hx₁A x₂ hx₂A x hxC hx ↦ ?_⟩ obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A (hBC.1 hxC) hx exact hBC.2 hx₁B hx₂B hxC hx #align is_extreme.trans IsExtreme.trans protected theorem IsExtreme.antisymm : AntiSymmetric (IsExtreme 𝕜 : Set E → Set E → Prop) := fun _ _ hAB hBA ↦ Subset.antisymm hBA.1 hAB.1 #align is_extreme.antisymm IsExtreme.antisymm instance : IsPartialOrder (Set E) (IsExtreme 𝕜) where refl := IsExtreme.refl 𝕜 trans _ _ _ := IsExtreme.trans antisymm := IsExtreme.antisymm
Mathlib/Analysis/Convex/Extreme.lean
97
103
theorem IsExtreme.inter (hAB : IsExtreme 𝕜 A B) (hAC : IsExtreme 𝕜 A C) : IsExtreme 𝕜 A (B ∩ C) := by
use Subset.trans inter_subset_left hAB.1 rintro x₁ hx₁A x₂ hx₂A x ⟨hxB, hxC⟩ hx obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A hxB hx obtain ⟨hx₁C, hx₂C⟩ := hAC.2 hx₁A hx₂A hxC hx exact ⟨⟨hx₁B, hx₁C⟩, hx₂B, hx₂C⟩
0
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Algebra.Group.Prod import Mathlib.Data.Multiset.Basic #align_import algebra.big_operators.multiset.basic from "leanprover-community/mathlib"@"6c5f73fd6f6cc83122788a80a27cdd54663609f4" assert_not_exists MonoidWithZero variable {F ι α β γ : Type*} namespace Multiset section CommMonoid variable [CommMonoid α] [CommMonoid β] {s t : Multiset α} {a : α} {m : Multiset ι} {f g : ι → α} @[to_additive "Sum of a multiset given a commutative additive monoid structure on `α`. `sum {a, b, c} = a + b + c`"] def prod : Multiset α → α := foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 #align multiset.prod Multiset.prod #align multiset.sum Multiset.sum @[to_additive] theorem prod_eq_foldr (s : Multiset α) : prod s = foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 s := rfl #align multiset.prod_eq_foldr Multiset.prod_eq_foldr #align multiset.sum_eq_foldr Multiset.sum_eq_foldr @[to_additive] theorem prod_eq_foldl (s : Multiset α) : prod s = foldl (· * ·) (fun x y z => by simp [mul_right_comm]) 1 s := (foldr_swap _ _ _ _).trans (by simp [mul_comm]) #align multiset.prod_eq_foldl Multiset.prod_eq_foldl #align multiset.sum_eq_foldl Multiset.sum_eq_foldl @[to_additive (attr := simp, norm_cast)] theorem prod_coe (l : List α) : prod ↑l = l.prod := prod_eq_foldl _ #align multiset.coe_prod Multiset.prod_coe #align multiset.coe_sum Multiset.sum_coe @[to_additive (attr := simp)] theorem prod_toList (s : Multiset α) : s.toList.prod = s.prod := by conv_rhs => rw [← coe_toList s] rw [prod_coe] #align multiset.prod_to_list Multiset.prod_toList #align multiset.sum_to_list Multiset.sum_toList @[to_additive (attr := simp)] theorem prod_zero : @prod α _ 0 = 1 := rfl #align multiset.prod_zero Multiset.prod_zero #align multiset.sum_zero Multiset.sum_zero @[to_additive (attr := simp)] theorem prod_cons (a : α) (s) : prod (a ::ₘ s) = a * prod s := foldr_cons _ _ _ _ _ #align multiset.prod_cons Multiset.prod_cons #align multiset.sum_cons Multiset.sum_cons @[to_additive (attr := simp)] theorem prod_erase [DecidableEq α] (h : a ∈ s) : a * (s.erase a).prod = s.prod := by rw [← s.coe_toList, coe_erase, prod_coe, prod_coe, List.prod_erase (mem_toList.2 h)] #align multiset.prod_erase Multiset.prod_erase #align multiset.sum_erase Multiset.sum_erase @[to_additive (attr := simp)] theorem prod_map_erase [DecidableEq ι] {a : ι} (h : a ∈ m) : f a * ((m.erase a).map f).prod = (m.map f).prod := by rw [← m.coe_toList, coe_erase, map_coe, map_coe, prod_coe, prod_coe, List.prod_map_erase f (mem_toList.2 h)] #align multiset.prod_map_erase Multiset.prod_map_erase #align multiset.sum_map_erase Multiset.sum_map_erase @[to_additive (attr := simp)]
Mathlib/Algebra/BigOperators/Group/Multiset.lean
99
100
theorem prod_singleton (a : α) : prod {a} = a := by
simp only [mul_one, prod_cons, ← cons_zero, eq_self_iff_true, prod_zero]
0
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition import Mathlib.LinearAlgebra.Projection import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.RingTheory.Ideal.LocalRing #align_import linear_algebra.dual from "leanprover-community/mathlib"@"b1c017582e9f18d8494e5c18602a8cb4a6f843ac" noncomputable section namespace Module -- Porting note: max u v universe issues so name and specific below universe uR uA uM uM' uM'' variable (R : Type uR) (A : Type uA) (M : Type uM) variable [CommSemiring R] [AddCommMonoid M] [Module R M] abbrev Dual := M →ₗ[R] R #align module.dual Module.Dual def dualPairing (R M) [CommSemiring R] [AddCommMonoid M] [Module R M] : Module.Dual R M →ₗ[R] M →ₗ[R] R := LinearMap.id #align module.dual_pairing Module.dualPairing @[simp] theorem dualPairing_apply (v x) : dualPairing R M v x = v x := rfl #align module.dual_pairing_apply Module.dualPairing_apply namespace Dual instance : Inhabited (Dual R M) := ⟨0⟩ def eval : M →ₗ[R] Dual R (Dual R M) := LinearMap.flip LinearMap.id #align module.dual.eval Module.Dual.eval @[simp] theorem eval_apply (v : M) (a : Dual R M) : eval R M v a = a v := rfl #align module.dual.eval_apply Module.Dual.eval_apply variable {R M} {M' : Type uM'} variable [AddCommMonoid M'] [Module R M'] def transpose : (M →ₗ[R] M') →ₗ[R] Dual R M' →ₗ[R] Dual R M := (LinearMap.llcomp R M M' R).flip #align module.dual.transpose Module.Dual.transpose -- Porting note: with reducible def need to specify some parameters to transpose explicitly theorem transpose_apply (u : M →ₗ[R] M') (l : Dual R M') : transpose (R := R) u l = l.comp u := rfl #align module.dual.transpose_apply Module.Dual.transpose_apply variable {M'' : Type uM''} [AddCommMonoid M''] [Module R M''] -- Porting note: with reducible def need to specify some parameters to transpose explicitly theorem transpose_comp (u : M' →ₗ[R] M'') (v : M →ₗ[R] M') : transpose (R := R) (u.comp v) = (transpose (R := R) v).comp (transpose (R := R) u) := rfl #align module.dual.transpose_comp Module.Dual.transpose_comp end Dual section Prod variable (M' : Type uM') [AddCommMonoid M'] [Module R M'] @[simps!] def dualProdDualEquivDual : (Module.Dual R M × Module.Dual R M') ≃ₗ[R] Module.Dual R (M × M') := LinearMap.coprodEquiv R #align module.dual_prod_dual_equiv_dual Module.dualProdDualEquivDual @[simp] theorem dualProdDualEquivDual_apply (φ : Module.Dual R M) (ψ : Module.Dual R M') : dualProdDualEquivDual R M M' (φ, ψ) = φ.coprod ψ := rfl #align module.dual_prod_dual_equiv_dual_apply Module.dualProdDualEquivDual_apply end Prod end Module namespace Basis universe u v w open Module Module.Dual Submodule LinearMap Cardinal Function universe uR uM uK uV uι variable {R : Type uR} {M : Type uM} {K : Type uK} {V : Type uV} {ι : Type uι} section variable [CommSemiring R] [AddCommMonoid M] [Module R M] [Fintype ι] variable (b : Basis ι R M) @[simp]
Mathlib/LinearAlgebra/Dual.lean
388
392
theorem sum_dual_apply_smul_coord (f : Module.Dual R M) : (∑ x, f (b x) • b.coord x) = f := by
ext m simp_rw [LinearMap.sum_apply, LinearMap.smul_apply, smul_eq_mul, mul_comm (f _), ← smul_eq_mul, ← f.map_smul, ← _root_.map_sum, Basis.coord_apply, Basis.sum_repr]
0
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section SimpleFuncProperties variable [MeasurableSpace α] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable {μ : Measure α} {p : ℝ≥0∞} theorem exists_forall_norm_le (f : α →ₛ F) : ∃ C, ∀ x, ‖f x‖ ≤ C := exists_forall_le (f.map fun x => ‖x‖) #align measure_theory.simple_func.exists_forall_norm_le MeasureTheory.SimpleFunc.exists_forall_norm_le theorem memℒp_zero (f : α →ₛ E) (μ : Measure α) : Memℒp f 0 μ := memℒp_zero_iff_aestronglyMeasurable.mpr f.aestronglyMeasurable #align measure_theory.simple_func.mem_ℒp_zero MeasureTheory.SimpleFunc.memℒp_zero theorem memℒp_top (f : α →ₛ E) (μ : Measure α) : Memℒp f ∞ μ := let ⟨C, hfC⟩ := f.exists_forall_norm_le memℒp_top_of_bound f.aestronglyMeasurable C <| eventually_of_forall hfC #align measure_theory.simple_func.mem_ℒp_top MeasureTheory.SimpleFunc.memℒp_top protected theorem snorm'_eq {p : ℝ} (f : α →ₛ F) (μ : Measure α) : snorm' f p μ = (∑ y ∈ f.range, (‖y‖₊ : ℝ≥0∞) ^ p * μ (f ⁻¹' {y})) ^ (1 / p) := by have h_map : (fun a => (‖f a‖₊ : ℝ≥0∞) ^ p) = f.map fun a : F => (‖a‖₊ : ℝ≥0∞) ^ p := by simp; rfl rw [snorm', h_map, lintegral_eq_lintegral, map_lintegral] #align measure_theory.simple_func.snorm'_eq MeasureTheory.SimpleFunc.snorm'_eq
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
296
322
theorem measure_preimage_lt_top_of_memℒp (hp_pos : p ≠ 0) (hp_ne_top : p ≠ ∞) (f : α →ₛ E) (hf : Memℒp f p μ) (y : E) (hy_ne : y ≠ 0) : μ (f ⁻¹' {y}) < ∞ := by
have hp_pos_real : 0 < p.toReal := ENNReal.toReal_pos hp_pos hp_ne_top have hf_snorm := Memℒp.snorm_lt_top hf rw [snorm_eq_snorm' hp_pos hp_ne_top, f.snorm'_eq, ← @ENNReal.lt_rpow_one_div_iff _ _ (1 / p.toReal) (by simp [hp_pos_real]), @ENNReal.top_rpow_of_pos (1 / (1 / p.toReal)) (by simp [hp_pos_real]), ENNReal.sum_lt_top_iff] at hf_snorm by_cases hyf : y ∈ f.range swap · suffices h_empty : f ⁻¹' {y} = ∅ by rw [h_empty, measure_empty]; exact ENNReal.coe_lt_top ext1 x rw [Set.mem_preimage, Set.mem_singleton_iff, mem_empty_iff_false, iff_false_iff] refine fun hxy => hyf ?_ rw [mem_range, Set.mem_range] exact ⟨x, hxy⟩ specialize hf_snorm y hyf rw [ENNReal.mul_lt_top_iff] at hf_snorm cases hf_snorm with | inl hf_snorm => exact hf_snorm.2 | inr hf_snorm => cases hf_snorm with | inl hf_snorm => refine absurd ?_ hy_ne simpa [hp_pos_real] using hf_snorm | inr hf_snorm => simp [hf_snorm]
0
import Mathlib.NumberTheory.ZetaValues import Mathlib.NumberTheory.LSeries.RiemannZeta open Complex Real Set open scoped Nat namespace HurwitzZeta variable {k : ℕ} {x : ℝ} theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt] omega theorem sinZeta_two_mul_nat_add_one (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k + 1) / 2 / (2 * k + 1)! * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_sinZeta x (?_ : 1 < re (2 * k + 1))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_sin hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc] congr 1 rw [← Nat.cast_ofNat, ← Nat.cast_mul, ← Nat.cast_add_one, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, ← Nat.cast_add_one, natCast_re, Nat.cast_lt, lt_add_iff_pos_left] exact mul_pos two_pos (Nat.pos_of_ne_zero hk) theorem cosZeta_two_mul_nat' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) / (2 * k) / Gammaℂ (2 * k) * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [cosZeta_two_mul_nat hk hx] congr 1 have : (2 * k)! = (2 * k) * Complex.Gamma (2 * k) := by rw [(by { norm_cast; omega } : 2 * (k : ℂ) = ↑(2 * k - 1) + 1), Complex.Gamma_nat_eq_factorial, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ, Nat.sub_add_cancel (by omega)] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div, mul_right_comm (2 : ℂ) (k : ℂ)] norm_cast theorem sinZeta_two_mul_nat_add_one' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) / (2 * k + 1) / Gammaℂ (2 * k + 1) * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [sinZeta_two_mul_nat_add_one hk hx] congr 1 have : (2 * k + 1)! = (2 * k + 1) * Complex.Gamma (2 * k + 1) := by rw [(by simp : Complex.Gamma (2 * k + 1) = Complex.Gamma (↑(2 * k) + 1)), Complex.Gamma_nat_eq_factorial, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div] rw [(by simp : 2 * (k : ℂ) + 1 = ↑(2 * k + 1)), cpow_natCast] ring
Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean
126
146
theorem hurwitzZetaEven_one_sub_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : hurwitzZetaEven x (1 - 2 * k) = -1 / (2 * k) * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
have h1 (n : ℕ) : (2 * k : ℂ) ≠ -n := by rw [← Int.cast_ofNat, ← Int.cast_natCast, ← Int.cast_mul, ← Int.cast_natCast n, ← Int.cast_neg, Ne, Int.cast_inj, ← Ne] refine ne_of_gt ((neg_nonpos_of_nonneg n.cast_nonneg).trans_lt (mul_pos two_pos ?_)) exact Nat.cast_pos.mpr (Nat.pos_of_ne_zero hk) have h2 : (2 * k : ℂ) ≠ 1 := by norm_cast; simp only [mul_eq_one, OfNat.ofNat_ne_one, false_and, not_false_eq_true] have h3 : Gammaℂ (2 * k) ≠ 0 := by refine mul_ne_zero (mul_ne_zero two_ne_zero ?_) (Gamma_ne_zero h1) simp only [ne_eq, cpow_eq_zero_iff, mul_eq_zero, OfNat.ofNat_ne_zero, ofReal_eq_zero, pi_ne_zero, Nat.cast_eq_zero, false_or, false_and, not_false_eq_true] rw [hurwitzZetaEven_one_sub _ h1 (Or.inr h2), ← Gammaℂ, cosZeta_two_mul_nat' hk hx, ← mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_cancel_left₀ _ h3, ← mul_div_assoc] congr 2 rw [mul_div_assoc, mul_div_cancel_left₀ _ two_ne_zero, ← ofReal_natCast, ← ofReal_mul, ← ofReal_cos, mul_comm π, ← sub_zero (k * π), cos_nat_mul_pi_sub, Real.cos_zero, mul_one, ofReal_pow, ofReal_neg, ofReal_one, pow_succ, mul_neg_one, mul_neg, ← mul_pow, neg_one_mul, neg_neg, one_pow]
0
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
Mathlib/Data/Set/Pairwise/Basic.lean
137
143
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⟩⟩
0
import Mathlib.LinearAlgebra.Matrix.DotProduct import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal #align_import data.matrix.rank from "leanprover-community/mathlib"@"17219820a8aa8abe85adf5dfde19af1dd1bd8ae7" open Matrix namespace Matrix open FiniteDimensional variable {l m n o R : Type*} [Fintype n] [Fintype o] section CommRing variable [CommRing R] noncomputable def rank (A : Matrix m n R) : ℕ := finrank R <| LinearMap.range A.mulVecLin #align matrix.rank Matrix.rank @[simp] theorem rank_one [StrongRankCondition R] [DecidableEq n] : rank (1 : Matrix n n R) = Fintype.card n := by rw [rank, mulVecLin_one, LinearMap.range_id, finrank_top, finrank_pi] #align matrix.rank_one Matrix.rank_one @[simp] theorem rank_zero [Nontrivial R] : rank (0 : Matrix m n R) = 0 := by rw [rank, mulVecLin_zero, LinearMap.range_zero, finrank_bot] #align matrix.rank_zero Matrix.rank_zero theorem rank_le_card_width [StrongRankCondition R] (A : Matrix m n R) : A.rank ≤ Fintype.card n := by haveI : Module.Finite R (n → R) := Module.Finite.pi haveI : Module.Free R (n → R) := Module.Free.pi _ _ exact A.mulVecLin.finrank_range_le.trans_eq (finrank_pi _) #align matrix.rank_le_card_width Matrix.rank_le_card_width theorem rank_le_width [StrongRankCondition R] {m n : ℕ} (A : Matrix (Fin m) (Fin n) R) : A.rank ≤ n := A.rank_le_card_width.trans <| (Fintype.card_fin n).le #align matrix.rank_le_width Matrix.rank_le_width
Mathlib/Data/Matrix/Rank.lean
71
74
theorem rank_mul_le_left [StrongRankCondition R] (A : Matrix m n R) (B : Matrix n o R) : (A * B).rank ≤ A.rank := by
rw [rank, rank, mulVecLin_mul] exact Cardinal.toNat_le_toNat (LinearMap.rank_comp_le_left _ _) (rank_lt_aleph0 _ _)
0
import Mathlib.Order.Filter.AtTopBot import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.LinearCombination import Mathlib.Tactic.Linarith.Frontend #align_import algebra.quadratic_discriminant from "leanprover-community/mathlib"@"e085d1df33274f4b32f611f483aae678ba0b42df" open Filter section Ring variable {R : Type*} def discrim [Ring R] (a b c : R) : R := b ^ 2 - 4 * a * c #align discrim discrim @[simp] lemma discrim_neg [Ring R] (a b c : R) : discrim (-a) (-b) (-c) = discrim a b c := by simp [discrim] #align discrim_neg discrim_neg variable [CommRing R] {a b c : R} lemma discrim_eq_sq_of_quadratic_eq_zero {x : R} (h : a * x * x + b * x + c = 0) : discrim a b c = (2 * a * x + b) ^ 2 := by rw [discrim] linear_combination -4 * a * h #align discrim_eq_sq_of_quadratic_eq_zero discrim_eq_sq_of_quadratic_eq_zero
Mathlib/Algebra/QuadraticDiscriminant.lean
63
70
theorem quadratic_eq_zero_iff_discrim_eq_sq [NeZero (2 : R)] [NoZeroDivisors R] (ha : a ≠ 0) (x : R) : a * x * x + b * x + c = 0 ↔ discrim a b c = (2 * a * x + b) ^ 2 := by
refine ⟨discrim_eq_sq_of_quadratic_eq_zero, fun h ↦ ?_⟩ rw [discrim] at h have ha : 2 * 2 * a ≠ 0 := mul_ne_zero (mul_ne_zero (NeZero.ne _) (NeZero.ne _)) ha apply mul_left_cancel₀ ha linear_combination -h
0
import Mathlib.Algebra.Order.Interval.Set.Instances import Mathlib.Order.Interval.Set.ProjIcc import Mathlib.Topology.Instances.Real #align_import topology.unit_interval from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Topology Filter open Set Int Set.Icc abbrev unitInterval : Set ℝ := Set.Icc 0 1 #align unit_interval unitInterval @[inherit_doc] scoped[unitInterval] notation "I" => unitInterval section partition @[simp] theorem projIcc_eq_zero {x : ℝ} : projIcc (0 : ℝ) 1 zero_le_one x = 0 ↔ x ≤ 0 := projIcc_eq_left zero_lt_one #align proj_Icc_eq_zero projIcc_eq_zero @[simp] theorem projIcc_eq_one {x : ℝ} : projIcc (0 : ℝ) 1 zero_le_one x = 1 ↔ 1 ≤ x := projIcc_eq_right zero_lt_one #align proj_Icc_eq_one projIcc_eq_one section variable {𝕜 : Type*} [LinearOrderedField 𝕜] [TopologicalSpace 𝕜] [TopologicalRing 𝕜] -- We only need the ordering on `𝕜` here to avoid talking about flipping the interval over. -- At the end of the day I only care about `ℝ`, so I'm hesitant to put work into generalizing.
Mathlib/Topology/UnitInterval.lean
323
324
theorem affineHomeomorph_image_I (a b : 𝕜) (h : 0 < a) : affineHomeomorph a b h.ne.symm '' Set.Icc 0 1 = Set.Icc b (a + b) := by
simp [h]
0
import Mathlib.LinearAlgebra.QuadraticForm.IsometryEquiv #align_import linear_algebra.quadratic_form.prod from "leanprover-community/mathlib"@"9b2755b951bc323c962bd072cd447b375cf58101" universe u v w variable {ι : Type*} {R : Type*} {M₁ M₂ N₁ N₂ : Type*} {Mᵢ Nᵢ : ι → Type*} namespace QuadraticForm section Prod section Semiring variable [CommSemiring R] variable [AddCommMonoid M₁] [AddCommMonoid M₂] [AddCommMonoid N₁] [AddCommMonoid N₂] variable [Module R M₁] [Module R M₂] [Module R N₁] [Module R N₂] @[simps!] def prod (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : QuadraticForm R (M₁ × M₂) := Q₁.comp (LinearMap.fst _ _ _) + Q₂.comp (LinearMap.snd _ _ _) #align quadratic_form.prod QuadraticForm.prod @[simps toLinearEquiv] def IsometryEquiv.prod {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} {Q₁' : QuadraticForm R N₁} {Q₂' : QuadraticForm R N₂} (e₁ : Q₁.IsometryEquiv Q₁') (e₂ : Q₂.IsometryEquiv Q₂') : (Q₁.prod Q₂).IsometryEquiv (Q₁'.prod Q₂') where map_app' x := congr_arg₂ (· + ·) (e₁.map_app x.1) (e₂.map_app x.2) toLinearEquiv := LinearEquiv.prod e₁.toLinearEquiv e₂.toLinearEquiv #align quadratic_form.isometry.prod QuadraticForm.IsometryEquiv.prod @[simps!] def Isometry.inl (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : Q₁ →qᵢ (Q₁.prod Q₂) where toLinearMap := LinearMap.inl R _ _ map_app' m₁ := by simp @[simps!] def Isometry.inr (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : Q₂ →qᵢ (Q₁.prod Q₂) where toLinearMap := LinearMap.inr R _ _ map_app' m₁ := by simp variable (M₂) in @[simps!] def Isometry.fst (Q₁ : QuadraticForm R M₁) : (Q₁.prod (0 : QuadraticForm R M₂)) →qᵢ Q₁ where toLinearMap := LinearMap.fst R _ _ map_app' m₁ := by simp variable (M₁) in @[simps!] def Isometry.snd (Q₂ : QuadraticForm R M₂) : ((0 : QuadraticForm R M₁).prod Q₂) →qᵢ Q₂ where toLinearMap := LinearMap.snd R _ _ map_app' m₁ := by simp @[simp] lemma Isometry.fst_comp_inl (Q₁ : QuadraticForm R M₁) : (fst M₂ Q₁).comp (inl Q₁ (0 : QuadraticForm R M₂)) = .id _ := ext fun _ => rfl @[simp] lemma Isometry.snd_comp_inr (Q₂ : QuadraticForm R M₂) : (snd M₁ Q₂).comp (inr (0 : QuadraticForm R M₁) Q₂) = .id _ := ext fun _ => rfl @[simp] lemma Isometry.snd_comp_inl (Q₂ : QuadraticForm R M₂) : (snd M₁ Q₂).comp (inl (0 : QuadraticForm R M₁) Q₂) = 0 := ext fun _ => rfl @[simp] lemma Isometry.fst_comp_inr (Q₁ : QuadraticForm R M₁) : (fst M₂ Q₁).comp (inr Q₁ (0 : QuadraticForm R M₂)) = 0 := ext fun _ => rfl theorem Equivalent.prod {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} {Q₁' : QuadraticForm R N₁} {Q₂' : QuadraticForm R N₂} (e₁ : Q₁.Equivalent Q₁') (e₂ : Q₂.Equivalent Q₂') : (Q₁.prod Q₂).Equivalent (Q₁'.prod Q₂') := Nonempty.map2 IsometryEquiv.prod e₁ e₂ #align quadratic_form.equivalent.prod QuadraticForm.Equivalent.prod @[simps!] def IsometryEquiv.prodComm (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : (Q₁.prod Q₂).IsometryEquiv (Q₂.prod Q₁) where toLinearEquiv := LinearEquiv.prodComm _ _ _ map_app' _ := add_comm _ _ @[simps!] def IsometryEquiv.prodProdProdComm (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) (Q₃ : QuadraticForm R N₁) (Q₄ : QuadraticForm R N₂) : ((Q₁.prod Q₂).prod (Q₃.prod Q₄)).IsometryEquiv ((Q₁.prod Q₃).prod (Q₂.prod Q₄)) where toLinearEquiv := LinearEquiv.prodProdProdComm _ _ _ _ _ map_app' _ := add_add_add_comm _ _ _ _ theorem anisotropic_of_prod {R} [OrderedCommRing R] [Module R M₁] [Module R M₂] {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} (h : (Q₁.prod Q₂).Anisotropic) : Q₁.Anisotropic ∧ Q₂.Anisotropic := by simp_rw [Anisotropic, prod_apply, Prod.forall, Prod.mk_eq_zero] at h constructor · intro x hx refine (h x 0 ?_).1 rw [hx, zero_add, map_zero] · intro x hx refine (h 0 x ?_).2 rw [hx, add_zero, map_zero] #align quadratic_form.anisotropic_of_prod QuadraticForm.anisotropic_of_prod
Mathlib/LinearAlgebra/QuadraticForm/Prod.lean
150
160
theorem nonneg_prod_iff {R} [OrderedCommRing R] [Module R M₁] [Module R M₂] {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} : (∀ x, 0 ≤ (Q₁.prod Q₂) x) ↔ (∀ x, 0 ≤ Q₁ x) ∧ ∀ x, 0 ≤ Q₂ x := by
simp_rw [Prod.forall, prod_apply] constructor · intro h constructor · intro x; simpa only [add_zero, map_zero] using h x 0 · intro x; simpa only [zero_add, map_zero] using h 0 x · rintro ⟨h₁, h₂⟩ x₁ x₂ exact add_nonneg (h₁ x₁) (h₂ x₂)
0
import Mathlib.NumberTheory.Padics.PadicIntegers import Mathlib.RingTheory.ZMod #align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" noncomputable section open scoped Classical open Nat LocalRing Padic namespace PadicInt variable {p : ℕ} [hp_prime : Fact p.Prime] section RingHoms variable (p) (r : ℚ) def modPart : ℤ := r.num * gcdA r.den p % p #align padic_int.mod_part PadicInt.modPart variable {p} theorem modPart_lt_p : modPart p r < p := by convert Int.emod_lt _ _ · simp · exact mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_lt_p PadicInt.modPart_lt_p theorem modPart_nonneg : 0 ≤ modPart p r := Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_nonneg PadicInt.modPart_nonneg
Mathlib/NumberTheory/Padics/RingHoms.lean
82
101
theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by
rw [isUnit_iff] apply le_antisymm (r.den : ℤ_[p]).2 rw [← not_lt, coe_natCast] intro norm_denom_lt have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by congr rw_mod_cast [@Rat.mul_den_eq_num r] rw [padicNormE.mul] at hr have key : ‖(r.num : ℚ_[p])‖ < 1 := by calc _ = _ := hr.symm _ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one _ = 1 := mul_one 1 have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt] exact ⟨key, norm_denom_lt⟩ apply hp_prime.1.not_dvd_one rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast]
0
import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.Valuation.PrimeMultiplicity import Mathlib.RingTheory.AdicCompletion.Basic #align_import ring_theory.discrete_valuation_ring.basic from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68" open scoped Classical universe u open Ideal LocalRing class DiscreteValuationRing (R : Type u) [CommRing R] [IsDomain R] extends IsPrincipalIdealRing R, LocalRing R : Prop where not_a_field' : maximalIdeal R ≠ ⊥ #align discrete_valuation_ring DiscreteValuationRing namespace DiscreteValuationRing variable (R : Type*) def HasUnitMulPowIrreducibleFactorization [CommRing R] : Prop := ∃ p : R, Irreducible p ∧ ∀ {x : R}, x ≠ 0 → ∃ n : ℕ, Associated (p ^ n) x #align discrete_valuation_ring.has_unit_mul_pow_irreducible_factorization DiscreteValuationRing.HasUnitMulPowIrreducibleFactorization namespace HasUnitMulPowIrreducibleFactorization variable {R} [CommRing R] (hR : HasUnitMulPowIrreducibleFactorization R) theorem unique_irreducible ⦃p q : R⦄ (hp : Irreducible p) (hq : Irreducible q) : Associated p q := by rcases hR with ⟨ϖ, hϖ, hR⟩ suffices ∀ {p : R} (_ : Irreducible p), Associated p ϖ by apply Associated.trans (this hp) (this hq).symm clear hp hq p q intro p hp obtain ⟨n, hn⟩ := hR hp.ne_zero have : Irreducible (ϖ ^ n) := hn.symm.irreducible hp rcases lt_trichotomy n 1 with (H | rfl | H) · obtain rfl : n = 0 := by clear hn this revert H n decide simp [not_irreducible_one, pow_zero] at this · simpa only [pow_one] using hn.symm · obtain ⟨n, rfl⟩ : ∃ k, n = 1 + k + 1 := Nat.exists_eq_add_of_lt H rw [pow_succ'] at this rcases this.isUnit_or_isUnit rfl with (H0 | H0) · exact (hϖ.not_unit H0).elim · rw [add_comm, pow_succ'] at H0 exact (hϖ.not_unit (isUnit_of_mul_isUnit_left H0)).elim #align discrete_valuation_ring.has_unit_mul_pow_irreducible_factorization.unique_irreducible DiscreteValuationRing.HasUnitMulPowIrreducibleFactorization.unique_irreducible variable [IsDomain R] theorem toUniqueFactorizationMonoid : UniqueFactorizationMonoid R := let p := Classical.choose hR let spec := Classical.choose_spec hR UniqueFactorizationMonoid.of_exists_prime_factors fun x hx => by use Multiset.replicate (Classical.choose (spec.2 hx)) p constructor · intro q hq have hpq := Multiset.eq_of_mem_replicate hq rw [hpq] refine ⟨spec.1.ne_zero, spec.1.not_unit, ?_⟩ intro a b h by_cases ha : a = 0 · rw [ha] simp only [true_or_iff, dvd_zero] obtain ⟨m, u, rfl⟩ := spec.2 ha rw [mul_assoc, mul_left_comm, Units.dvd_mul_left] at h rw [Units.dvd_mul_right] by_cases hm : m = 0 · simp only [hm, one_mul, pow_zero] at h ⊢ right exact h left obtain ⟨m, rfl⟩ := Nat.exists_eq_succ_of_ne_zero hm rw [pow_succ'] apply dvd_mul_of_dvd_left dvd_rfl _ · rw [Multiset.prod_replicate] exact Classical.choose_spec (spec.2 hx) #align discrete_valuation_ring.has_unit_mul_pow_irreducible_factorization.to_unique_factorization_monoid DiscreteValuationRing.HasUnitMulPowIrreducibleFactorization.toUniqueFactorizationMonoid
Mathlib/RingTheory/DiscreteValuationRing/Basic.lean
227
245
theorem of_ufd_of_unique_irreducible [UniqueFactorizationMonoid R] (h₁ : ∃ p : R, Irreducible p) (h₂ : ∀ ⦃p q : R⦄, Irreducible p → Irreducible q → Associated p q) : HasUnitMulPowIrreducibleFactorization R := by
obtain ⟨p, hp⟩ := h₁ refine ⟨p, hp, ?_⟩ intro x hx cases' WfDvdMonoid.exists_factors x hx with fx hfx refine ⟨Multiset.card fx, ?_⟩ have H := hfx.2 rw [← Associates.mk_eq_mk_iff_associated] at H ⊢ rw [← H, ← Associates.prod_mk, Associates.mk_pow, ← Multiset.prod_replicate] congr 1 symm rw [Multiset.eq_replicate] simp only [true_and_iff, and_imp, Multiset.card_map, eq_self_iff_true, Multiset.mem_map, exists_imp] rintro _ q hq rfl rw [Associates.mk_eq_mk_iff_associated] apply h₂ (hfx.1 _ hq) hp
0
import Mathlib.Topology.Separation import Mathlib.Algebra.Group.Defs #align_import topology.algebra.semigroup from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" @[to_additive "Any nonempty compact Hausdorff additive semigroup where right-addition is continuous contains an idempotent, i.e. an `m` such that `m + m = m`"] theorem exists_idempotent_of_compact_t2_of_continuous_mul_left {M} [Nonempty M] [Semigroup M] [TopologicalSpace M] [CompactSpace M] [T2Space M] (continuous_mul_left : ∀ r : M, Continuous (· * r)) : ∃ m : M, m * m = m := by let S : Set (Set M) := { N | IsClosed N ∧ N.Nonempty ∧ ∀ (m) (_ : m ∈ N) (m') (_ : m' ∈ N), m * m' ∈ N } rsuffices ⟨N, ⟨N_closed, ⟨m, hm⟩, N_mul⟩, N_minimal⟩ : ∃ N ∈ S, ∀ N' ∈ S, N' ⊆ N → N' = N · use m have scaling_eq_self : (· * m) '' N = N := by apply N_minimal · refine ⟨(continuous_mul_left m).isClosedMap _ N_closed, ⟨_, ⟨m, hm, rfl⟩⟩, ?_⟩ rintro _ ⟨m'', hm'', rfl⟩ _ ⟨m', hm', rfl⟩ exact ⟨m'' * m * m', N_mul _ (N_mul _ hm'' _ hm) _ hm', mul_assoc _ _ _⟩ · rintro _ ⟨m', hm', rfl⟩ exact N_mul _ hm' _ hm have absorbing_eq_self : N ∩ { m' | m' * m = m } = N := by apply N_minimal · refine ⟨N_closed.inter ((T1Space.t1 m).preimage (continuous_mul_left m)), ?_, ?_⟩ · rwa [← scaling_eq_self] at hm · rintro m'' ⟨mem'', eq'' : _ = m⟩ m' ⟨mem', eq' : _ = m⟩ refine ⟨N_mul _ mem'' _ mem', ?_⟩ rw [Set.mem_setOf_eq, mul_assoc, eq', eq''] apply Set.inter_subset_left -- Thus `m * m = m` as desired. rw [← absorbing_eq_self] at hm exact hm.2 refine zorn_superset _ fun c hcs hc => ?_ refine ⟨⋂₀ c, ⟨isClosed_sInter fun t ht => (hcs ht).1, ?_, fun m hm m' hm' => ?_⟩, fun s hs => Set.sInter_subset_of_mem hs⟩ · obtain rfl | hcnemp := c.eq_empty_or_nonempty · rw [Set.sInter_empty] apply Set.univ_nonempty convert @IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed _ _ _ hcnemp.coe_sort ((↑) : c → Set M) ?_ ?_ ?_ ?_ · exact Set.sInter_eq_iInter · refine DirectedOn.directed_val (IsChain.directedOn hc.symm) exacts [fun i => (hcs i.prop).2.1, fun i => (hcs i.prop).1.isCompact, fun i => (hcs i.prop).1] · rw [Set.mem_sInter] exact fun t ht => (hcs ht).2.2 m (Set.mem_sInter.mp hm t ht) m' (Set.mem_sInter.mp hm' t ht) #align exists_idempotent_of_compact_t2_of_continuous_mul_left exists_idempotent_of_compact_t2_of_continuous_mul_left #align exists_idempotent_of_compact_t2_of_continuous_add_left exists_idempotent_of_compact_t2_of_continuous_add_left @[to_additive exists_idempotent_in_compact_add_subsemigroup "A version of `exists_idempotent_of_compact_t2_of_continuous_add_left` where the idempotent lies in some specified nonempty compact additive subsemigroup."]
Mathlib/Topology/Algebra/Semigroup.lean
82
95
theorem exists_idempotent_in_compact_subsemigroup {M} [Semigroup M] [TopologicalSpace M] [T2Space M] (continuous_mul_left : ∀ r : M, Continuous (· * r)) (s : Set M) (snemp : s.Nonempty) (s_compact : IsCompact s) (s_add : ∀ᵉ (x ∈ s) (y ∈ s), x * y ∈ s) : ∃ m ∈ s, m * m = m := by
let M' := { m // m ∈ s } letI : Semigroup M' := { mul := fun p q => ⟨p.1 * q.1, s_add _ p.2 _ q.2⟩ mul_assoc := fun p q r => Subtype.eq (mul_assoc _ _ _) } haveI : CompactSpace M' := isCompact_iff_compactSpace.mp s_compact haveI : Nonempty M' := nonempty_subtype.mpr snemp have : ∀ p : M', Continuous (· * p) := fun p => ((continuous_mul_left p.1).comp continuous_subtype_val).subtype_mk _ obtain ⟨⟨m, hm⟩, idem⟩ := exists_idempotent_of_compact_t2_of_continuous_mul_left this exact ⟨m, hm, Subtype.ext_iff.mp idem⟩
0
import Mathlib.MeasureTheory.Measure.Regular import Mathlib.Topology.Semicontinuous import Mathlib.MeasureTheory.Integral.Bochner import Mathlib.Topology.Instances.EReal #align_import measure_theory.integral.vitali_caratheodory from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" open scoped ENNReal NNReal open MeasureTheory MeasureTheory.Measure variable {α : Type*} [TopologicalSpace α] [MeasurableSpace α] [BorelSpace α] (μ : Measure α) [WeaklyRegular μ] namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc
Mathlib/MeasureTheory/Integral/VitaliCaratheodory.lean
93
152
theorem SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge (f : α →ₛ ℝ≥0) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) : ∃ g : α → ℝ≥0, (∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by
induction' f using MeasureTheory.SimpleFunc.induction with c s hs f₁ f₂ _ h₁ h₂ generalizing ε · let f := SimpleFunc.piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0) by_cases h : ∫⁻ x, f x ∂μ = ⊤ · refine ⟨fun _ => c, fun x => ?_, lowerSemicontinuous_const, by simp only [_root_.top_add, le_top, h]⟩ simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise] exact Set.indicator_le_self _ _ _ by_cases hc : c = 0 · refine ⟨fun _ => 0, ?_, lowerSemicontinuous_const, ?_⟩ · classical simp only [hc, Set.indicator_zero', Pi.zero_apply, SimpleFunc.const_zero, imp_true_iff, eq_self_iff_true, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, le_zero_iff] · simp only [lintegral_const, zero_mul, zero_le, ENNReal.coe_zero] have ne_top : μ s ≠ ⊤ := by classical simpa [f, hs, hc, lt_top_iff_ne_top, true_and_iff, SimpleFunc.coe_const, Function.const_apply, lintegral_const, ENNReal.coe_indicator, Set.univ_inter, ENNReal.coe_ne_top, MeasurableSet.univ, ENNReal.mul_eq_top, SimpleFunc.const_zero, or_false_iff, lintegral_indicator, ENNReal.coe_eq_zero, Ne, not_false_iff, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, false_and_iff, restrict_apply] using h have : μ s < μ s + ε / c := by have : (0 : ℝ≥0∞) < ε / c := ENNReal.div_pos_iff.2 ⟨ε0, ENNReal.coe_ne_top⟩ simpa using ENNReal.add_lt_add_left ne_top this obtain ⟨u, su, u_open, μu⟩ : ∃ (u : _), u ⊇ s ∧ IsOpen u ∧ μ u < μ s + ε / c := s.exists_isOpen_lt_of_lt _ this refine ⟨Set.indicator u fun _ => c, fun x => ?_, u_open.lowerSemicontinuous_indicator (zero_le _), ?_⟩ · simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise] exact Set.indicator_le_indicator_of_subset su (fun x => zero_le _) _ · suffices (c : ℝ≥0∞) * μ u ≤ c * μ s + ε by classical simpa only [ENNReal.coe_indicator, u_open.measurableSet, lintegral_indicator, lintegral_const, MeasurableSet.univ, Measure.restrict_apply, Set.univ_inter, const_zero, coe_piecewise, coe_const, coe_zero, Set.piecewise_eq_indicator, Function.const_apply, hs] calc (c : ℝ≥0∞) * μ u ≤ c * (μ s + ε / c) := mul_le_mul_left' μu.le _ _ = c * μ s + ε := by simp_rw [mul_add] rw [ENNReal.mul_div_cancel' _ ENNReal.coe_ne_top] simpa using hc · rcases h₁ (ENNReal.half_pos ε0).ne' with ⟨g₁, f₁_le_g₁, g₁cont, g₁int⟩ rcases h₂ (ENNReal.half_pos ε0).ne' with ⟨g₂, f₂_le_g₂, g₂cont, g₂int⟩ refine ⟨fun x => g₁ x + g₂ x, fun x => add_le_add (f₁_le_g₁ x) (f₂_le_g₂ x), g₁cont.add g₂cont, ?_⟩ simp only [SimpleFunc.coe_add, ENNReal.coe_add, Pi.add_apply] rw [lintegral_add_left f₁.measurable.coe_nnreal_ennreal, lintegral_add_left g₁cont.measurable.coe_nnreal_ennreal] convert add_le_add g₁int g₂int using 1 conv_lhs => rw [← ENNReal.add_halves ε] abel
0
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm section Integrability theorem integrable_toReal_condDistrib (hX : AEMeasurable X μ) (hs : MeasurableSet s) : Integrable (fun a => (condDistrib Y X μ (X a) s).toReal) μ := by refine integrable_toReal_of_lintegral_ne_top ?_ ?_ · exact Measurable.comp_aemeasurable (kernel.measurable_coe _ hs) hX · refine ne_of_lt ?_ calc ∫⁻ a, condDistrib Y X μ (X a) s ∂μ ≤ ∫⁻ _, 1 ∂μ := lintegral_mono fun a => prob_le_one _ = μ univ := lintegral_one _ < ∞ := measure_lt_top _ _ #align probability_theory.integrable_to_real_cond_distrib ProbabilityTheory.integrable_toReal_condDistrib
Mathlib/Probability/Kernel/CondDistrib.lean
145
148
theorem _root_.MeasureTheory.Integrable.condDistrib_ae_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : ∀ᵐ b ∂μ.map X, Integrable (fun ω => f (b, ω)) (condDistrib Y X μ b) := by
rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.condKernel_ae
0
import Mathlib.Analysis.Complex.Basic import Mathlib.FieldTheory.IntermediateField import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.UniformRing #align_import topology.instances.complex from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" section ComplexSubfield open Complex Set open ComplexConjugate
Mathlib/Topology/Instances/Complex.lean
25
44
theorem Complex.subfield_eq_of_closed {K : Subfield ℂ} (hc : IsClosed (K : Set ℂ)) : K = ofReal.fieldRange ∨ K = ⊤ := by
suffices range (ofReal' : ℝ → ℂ) ⊆ K by rw [range_subset_iff, ← coe_algebraMap] at this have := (Subalgebra.isSimpleOrder_of_finrank finrank_real_complex).eq_bot_or_eq_top (Subfield.toIntermediateField K this).toSubalgebra simp_rw [← SetLike.coe_set_eq, IntermediateField.coe_toSubalgebra] at this ⊢ exact this suffices range (ofReal' : ℝ → ℂ) ⊆ closure (Set.range ((ofReal' : ℝ → ℂ) ∘ ((↑) : ℚ → ℝ))) by refine subset_trans this ?_ rw [← IsClosed.closure_eq hc] apply closure_mono rintro _ ⟨_, rfl⟩ simp only [Function.comp_apply, ofReal_ratCast, SetLike.mem_coe, SubfieldClass.ratCast_mem] nth_rw 1 [range_comp] refine subset_trans ?_ (image_closure_subset_closure_image continuous_ofReal) rw [DenseRange.closure_range Rat.denseEmbedding_coe_real.dense] simp only [image_univ] rfl
0
import Mathlib.RingTheory.Ideal.Maps import Mathlib.Topology.Algebra.Nonarchimedean.Bases import Mathlib.Topology.Algebra.UniformRing #align_import topology.algebra.nonarchimedean.adic_topology from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {R : Type*} [CommRing R] open Set TopologicalAddGroup Submodule Filter open Topology Pointwise namespace Ideal theorem adic_basis (I : Ideal R) : SubmodulesRingBasis fun n : ℕ => (I ^ n • ⊤ : Ideal R) := { inter := by suffices ∀ i j : ℕ, ∃ k, I ^ k ≤ I ^ i ∧ I ^ k ≤ I ^ j by simpa only [smul_eq_mul, mul_top, Algebra.id.map_eq_id, map_id, le_inf_iff] using this intro i j exact ⟨max i j, pow_le_pow_right (le_max_left i j), pow_le_pow_right (le_max_right i j)⟩ leftMul := by suffices ∀ (a : R) (i : ℕ), ∃ j : ℕ, a • I ^ j ≤ I ^ i by simpa only [smul_top_eq_map, Algebra.id.map_eq_id, map_id] using this intro r n use n rintro a ⟨x, hx, rfl⟩ exact (I ^ n).smul_mem r hx mul := by suffices ∀ i : ℕ, ∃ j : ℕ, (↑(I ^ j) * ↑(I ^ j) : Set R) ⊆ (↑(I ^ i) : Set R) by simpa only [smul_top_eq_map, Algebra.id.map_eq_id, map_id] using this intro n use n rintro a ⟨x, _hx, b, hb, rfl⟩ exact (I ^ n).smul_mem x hb } #align ideal.adic_basis Ideal.adic_basis def ringFilterBasis (I : Ideal R) := I.adic_basis.toRing_subgroups_basis.toRingFilterBasis #align ideal.ring_filter_basis Ideal.ringFilterBasis def adicTopology (I : Ideal R) : TopologicalSpace R := (adic_basis I).topology #align ideal.adic_topology Ideal.adicTopology theorem nonarchimedean (I : Ideal R) : @NonarchimedeanRing R _ I.adicTopology := I.adic_basis.toRing_subgroups_basis.nonarchimedean #align ideal.nonarchimedean Ideal.nonarchimedean
Mathlib/Topology/Algebra/Nonarchimedean/AdicTopology.lean
92
103
theorem hasBasis_nhds_zero_adic (I : Ideal R) : HasBasis (@nhds R I.adicTopology (0 : R)) (fun _n : ℕ => True) fun n => ((I ^ n : Ideal R) : Set R) := ⟨by intro U rw [I.ringFilterBasis.toAddGroupFilterBasis.nhds_zero_hasBasis.mem_iff] constructor · rintro ⟨-, ⟨i, rfl⟩, h⟩ replace h : ↑(I ^ i) ⊆ U := by
simpa using h exact ⟨i, trivial, h⟩ · rintro ⟨i, -, h⟩ exact ⟨(I ^ i : Ideal R), ⟨i, by simp⟩, h⟩⟩
0
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Algebra.Order.Group.Instances import Mathlib.Data.Prod.Lex import Mathlib.Data.Set.Image import Mathlib.GroupTheory.Perm.Support import Mathlib.Order.Monotone.Monovary import Mathlib.Tactic.Abel #align_import algebra.order.rearrangement from "leanprover-community/mathlib"@"b3f25363ae62cb169e72cd6b8b1ac97bacf21ca7" open Equiv Equiv.Perm Finset Function OrderDual variable {ι α β : Type*} section SMul variable [LinearOrderedRing α] [LinearOrderedAddCommGroup β] [Module α β] [OrderedSMul α β] {s : Finset ι} {σ : Perm ι} {f : ι → α} {g : ι → β} theorem MonovaryOn.sum_smul_comp_perm_le_sum_smul (hfg : MonovaryOn f g s) (hσ : { x | σ x ≠ x } ⊆ s) : (∑ i ∈ s, f i • g (σ i)) ≤ ∑ i ∈ s, f i • g i := by classical revert hσ σ hfg -- Porting note: Specify `p` to get around `∀ {σ}` in the current goal. apply Finset.induction_on_max_value (fun i ↦ toLex (g i, f i)) (p := fun t ↦ ∀ {σ : Perm ι}, MonovaryOn f g t → { x | σ x ≠ x } ⊆ t → (∑ i ∈ t, f i • g (σ i)) ≤ ∑ i ∈ t, f i • g i) s · simp only [le_rfl, Finset.sum_empty, imp_true_iff] intro a s has hamax hind σ hfg hσ set τ : Perm ι := σ.trans (swap a (σ a)) with hτ have hτs : { x | τ x ≠ x } ⊆ s := by intro x hx simp only [τ, Ne, Set.mem_setOf_eq, Equiv.coe_trans, Equiv.swap_comp_apply] at hx split_ifs at hx with h₁ h₂ · obtain rfl | hax := eq_or_ne x a · contradiction · exact mem_of_mem_insert_of_ne (hσ fun h ↦ hax <| h.symm.trans h₁) hax · exact (hx <| σ.injective h₂.symm).elim · exact mem_of_mem_insert_of_ne (hσ hx) (ne_of_apply_ne _ h₂) specialize hind (hfg.subset <| subset_insert _ _) hτs simp_rw [sum_insert has] refine le_trans ?_ (add_le_add_left hind _) obtain hσa | hσa := eq_or_ne a (σ a) · rw [hτ, ← hσa, swap_self, trans_refl] have h1s : σ⁻¹ a ∈ s := by rw [Ne, ← inv_eq_iff_eq] at hσa refine mem_of_mem_insert_of_ne (hσ fun h ↦ hσa ?_) hσa rwa [apply_inv_self, eq_comm] at h simp only [← s.sum_erase_add _ h1s, add_comm] rw [← add_assoc, ← add_assoc] simp only [hτ, swap_apply_left, Function.comp_apply, Equiv.coe_trans, apply_inv_self] refine add_le_add (smul_add_smul_le_smul_add_smul' ?_ ?_) (sum_congr rfl fun x hx ↦ ?_).le · specialize hamax (σ⁻¹ a) h1s rw [Prod.Lex.le_iff] at hamax cases' hamax with hamax hamax · exact hfg (mem_insert_of_mem h1s) (mem_insert_self _ _) hamax · exact hamax.2 · specialize hamax (σ a) (mem_of_mem_insert_of_ne (hσ <| σ.injective.ne hσa.symm) hσa.symm) rw [Prod.Lex.le_iff] at hamax cases' hamax with hamax hamax · exact hamax.le · exact hamax.1.le · rw [mem_erase, Ne, eq_inv_iff_eq] at hx rw [swap_apply_of_ne_of_ne hx.1 (σ.injective.ne _)] rintro rfl exact has hx.2 #align monovary_on.sum_smul_comp_perm_le_sum_smul MonovaryOn.sum_smul_comp_perm_le_sum_smul
Mathlib/Algebra/Order/Rearrangement.lean
114
137
theorem MonovaryOn.sum_smul_comp_perm_eq_sum_smul_iff (hfg : MonovaryOn f g s) (hσ : { x | σ x ≠ x } ⊆ s) : ((∑ i ∈ s, f i • g (σ i)) = ∑ i ∈ s, f i • g i) ↔ MonovaryOn f (g ∘ σ) s := by
classical refine ⟨not_imp_not.1 fun h ↦ ?_, fun h ↦ (hfg.sum_smul_comp_perm_le_sum_smul hσ).antisymm ?_⟩ · rw [MonovaryOn] at h push_neg at h obtain ⟨x, hx, y, hy, hgxy, hfxy⟩ := h set τ : Perm ι := (Equiv.swap x y).trans σ have hτs : { x | τ x ≠ x } ⊆ s := by refine (set_support_mul_subset σ <| swap x y).trans (Set.union_subset hσ fun z hz ↦ ?_) obtain ⟨_, rfl | rfl⟩ := swap_apply_ne_self_iff.1 hz <;> assumption refine ((hfg.sum_smul_comp_perm_le_sum_smul hτs).trans_lt' ?_).ne obtain rfl | hxy := eq_or_ne x y · cases lt_irrefl _ hfxy simp only [τ, ← s.sum_erase_add _ hx, ← (s.erase x).sum_erase_add _ (mem_erase.2 ⟨hxy.symm, hy⟩), add_assoc, Equiv.coe_trans, Function.comp_apply, swap_apply_right, swap_apply_left] refine add_lt_add_of_le_of_lt (Finset.sum_congr rfl fun z hz ↦ ?_).le (smul_add_smul_lt_smul_add_smul hfxy hgxy) simp_rw [mem_erase] at hz rw [swap_apply_of_ne_of_ne hz.2.1 hz.1] · convert h.sum_smul_comp_perm_le_sum_smul ((set_support_inv_eq _).subset.trans hσ) using 1 simp_rw [Function.comp_apply, apply_inv_self]
0
import Batteries.Data.RBMap.Alter import Batteries.Data.List.Lemmas namespace Batteries namespace RBNode open RBColor attribute [simp] fold foldl foldr Any forM foldlM Ordered @[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by unfold RBNode.max?; split <;> simp [RBNode.min?] unfold RBNode.min?; rw [min?.match_1.eq_3] · apply min?_reverse · simpa [reverse_eq_iff] @[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by rw [← min?_reverse, reverse_reverse] @[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem] @[simp] theorem mem_node {y c a x b} : y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem]
.lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean
32
33
theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by
induction t <;> simp [or_imp, forall_and, *]
0
import Mathlib.RingTheory.RootsOfUnity.Basic import Mathlib.RingTheory.AdjoinRoot import Mathlib.FieldTheory.Galois import Mathlib.LinearAlgebra.Eigenspace.Minpoly import Mathlib.RingTheory.Norm universe u variable {K : Type u} [Field K] open Polynomial IntermediateField AdjoinRoot section Splits lemma root_X_pow_sub_C_pow (n : ℕ) (a : K) : (AdjoinRoot.root (X ^ n - C a)) ^ n = AdjoinRoot.of _ a := by rw [← sub_eq_zero, ← AdjoinRoot.eval₂_root, eval₂_sub, eval₂_C, eval₂_pow, eval₂_X] lemma root_X_pow_sub_C_ne_zero {n : ℕ} (hn : 1 < n) (a : K) : (AdjoinRoot.root (X ^ n - C a)) ≠ 0 := mk_ne_zero_of_natDegree_lt (monic_X_pow_sub_C _ (Nat.not_eq_zero_of_lt hn)) X_ne_zero <| by rwa [natDegree_X_pow_sub_C, natDegree_X] lemma root_X_pow_sub_C_ne_zero' {n : ℕ} {a : K} (hn : 0 < n) (ha : a ≠ 0) : (AdjoinRoot.root (X ^ n - C a)) ≠ 0 := by obtain (rfl|hn) := (Nat.succ_le_iff.mpr hn).eq_or_lt · rw [← Nat.one_eq_succ_zero, pow_one] intro e refine mk_ne_zero_of_natDegree_lt (monic_X_sub_C a) (C_ne_zero.mpr ha) (by simp) ?_ trans AdjoinRoot.mk (X - C a) (X - (X - C a)) · rw [sub_sub_cancel] · rw [map_sub, mk_self, sub_zero, mk_X, e] · exact root_X_pow_sub_C_ne_zero hn a
Mathlib/FieldTheory/KummerExtension.lean
74
82
theorem X_pow_sub_C_splits_of_isPrimitiveRoot {n : ℕ} {ζ : K} (hζ : IsPrimitiveRoot ζ n) {α a : K} (e : α ^ n = a) : (X ^ n - C a).Splits (RingHom.id _) := by
cases n.eq_zero_or_pos with | inl hn => rw [hn, pow_zero, ← C.map_one, ← map_sub] exact splits_C _ _ | inr hn => rw [splits_iff_card_roots, ← nthRoots, hζ.card_nthRoots, natDegree_X_pow_sub_C, if_pos ⟨α, e⟩]
0
import Mathlib.Combinatorics.SetFamily.HarrisKleitman import Mathlib.Combinatorics.SetFamily.Intersecting #align_import combinatorics.set_family.kleitman from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Finset open Fintype (card) variable {ι α : Type*} [Fintype α] [DecidableEq α] [Nonempty α]
Mathlib/Combinatorics/SetFamily/Kleitman.lean
37
85
theorem Finset.card_biUnion_le_of_intersecting (s : Finset ι) (f : ι → Finset (Finset α)) (hf : ∀ i ∈ s, (f i : Set (Finset α)).Intersecting) : (s.biUnion f).card ≤ 2 ^ Fintype.card α - 2 ^ (Fintype.card α - s.card) := by
have : DecidableEq ι := by classical infer_instance obtain hs | hs := le_total (Fintype.card α) s.card · rw [tsub_eq_zero_of_le hs, pow_zero] refine (card_le_card <| biUnion_subset.2 fun i hi a ha ↦ mem_compl.2 <| not_mem_singleton.2 <| (hf _ hi).ne_bot ha).trans_eq ?_ rw [card_compl, Fintype.card_finset, card_singleton] induction' s using Finset.cons_induction with i s hi ih generalizing f · simp set f' : ι → Finset (Finset α) := fun j ↦ if hj : j ∈ cons i s hi then (hf j hj).exists_card_eq.choose else ∅ have hf₁ : ∀ j, j ∈ cons i s hi → f j ⊆ f' j ∧ 2 * (f' j).card = 2 ^ Fintype.card α ∧ (f' j : Set (Finset α)).Intersecting := by rintro j hj simp_rw [f', dif_pos hj, ← Fintype.card_finset] exact Classical.choose_spec (hf j hj).exists_card_eq have hf₂ : ∀ j, j ∈ cons i s hi → IsUpperSet (f' j : Set (Finset α)) := by refine fun j hj ↦ (hf₁ _ hj).2.2.isUpperSet' ((hf₁ _ hj).2.2.is_max_iff_card_eq.2 ?_) rw [Fintype.card_finset] exact (hf₁ _ hj).2.1 refine (card_le_card <| biUnion_mono fun j hj ↦ (hf₁ _ hj).1).trans ?_ nth_rw 1 [cons_eq_insert i] rw [biUnion_insert] refine (card_mono <| @le_sup_sdiff _ _ _ <| f' i).trans ((card_union_le _ _).trans ?_) rw [union_sdiff_left, sdiff_eq_inter_compl] refine le_of_mul_le_mul_left ?_ (pow_pos (zero_lt_two' ℕ) <| Fintype.card α + 1) rw [pow_succ, mul_add, mul_assoc, mul_comm _ 2, mul_assoc] refine (add_le_add ((mul_le_mul_left <| pow_pos (zero_lt_two' ℕ) _).2 (hf₁ _ <| mem_cons_self _ _).2.2.card_le) <| (mul_le_mul_left <| zero_lt_two' ℕ).2 <| IsUpperSet.card_inter_le_finset ?_ ?_).trans ?_ · rw [coe_biUnion] exact isUpperSet_iUnion₂ fun i hi ↦ hf₂ _ <| subset_cons _ hi · rw [coe_compl] exact (hf₂ _ <| mem_cons_self _ _).compl rw [mul_tsub, card_compl, Fintype.card_finset, mul_left_comm, mul_tsub, (hf₁ _ <| mem_cons_self _ _).2.1, two_mul, add_tsub_cancel_left, ← mul_tsub, ← mul_two, mul_assoc, ← add_mul, mul_comm] refine mul_le_mul_left' ?_ _ refine (add_le_add_left (ih _ (fun i hi ↦ (hf₁ _ <| subset_cons _ hi).2.2) ((card_le_card <| subset_cons _).trans hs)) _).trans ?_ rw [mul_tsub, two_mul, ← pow_succ', ← add_tsub_assoc_of_le (pow_le_pow_right' (one_le_two : (1 : ℕ) ≤ 2) tsub_le_self), tsub_add_eq_add_tsub hs, card_cons, add_tsub_add_eq_tsub_right]
0
import Mathlib.Data.Finset.Basic variable {ι : Sort _} {π : ι → Sort _} {x : ∀ i, π i} [DecidableEq ι] namespace Function def updateFinset (x : ∀ i, π i) (s : Finset ι) (y : ∀ i : ↥s, π i) (i : ι) : π i := if hi : i ∈ s then y ⟨i, hi⟩ else x i open Finset Equiv theorem updateFinset_def {s : Finset ι} {y} : updateFinset x s y = fun i ↦ if hi : i ∈ s then y ⟨i, hi⟩ else x i := rfl @[simp] theorem updateFinset_empty {y} : updateFinset x ∅ y = x := rfl theorem updateFinset_singleton {i y} : updateFinset x {i} y = Function.update x i (y ⟨i, mem_singleton_self i⟩) := by congr with j by_cases hj : j = i · cases hj simp only [dif_pos, Finset.mem_singleton, update_same, updateFinset] · simp [hj, updateFinset]
Mathlib/Data/Finset/Update.lean
43
50
theorem update_eq_updateFinset {i y} : Function.update x i y = updateFinset x {i} (uniqueElim y) := by
congr with j by_cases hj : j = i · cases hj simp only [dif_pos, Finset.mem_singleton, update_same, updateFinset] exact uniqueElim_default (α := fun j : ({i} : Finset ι) => π j) y · simp [hj, updateFinset]
0
import Mathlib.RingTheory.Localization.Module import Mathlib.RingTheory.Norm import Mathlib.RingTheory.Discriminant #align_import ring_theory.localization.norm from "leanprover-community/mathlib"@"2e59a6de168f95d16b16d217b808a36290398c0a" open scoped nonZeroDivisors variable (R : Type*) {S : Type*} [CommRing R] [CommRing S] [Algebra R S] variable {Rₘ Sₘ : Type*} [CommRing Rₘ] [Algebra R Rₘ] [CommRing Sₘ] [Algebra S Sₘ] variable (M : Submonoid R) variable [IsLocalization M Rₘ] [IsLocalization (Algebra.algebraMapSubmonoid S M) Sₘ] variable [Algebra Rₘ Sₘ] [Algebra R Sₘ] [IsScalarTower R Rₘ Sₘ] [IsScalarTower R S Sₘ] open Algebra theorem Algebra.map_leftMulMatrix_localization {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι R S) (a : S) : (algebraMap R Rₘ).mapMatrix (leftMulMatrix b a) = leftMulMatrix (b.localizationLocalization Rₘ M Sₘ) (algebraMap S Sₘ a) := by ext i j simp only [Matrix.map_apply, RingHom.mapMatrix_apply, leftMulMatrix_eq_repr_mul, ← map_mul, Basis.localizationLocalization_apply, Basis.localizationLocalization_repr_algebraMap] theorem Algebra.norm_localization [Module.Free R S] [Module.Finite R S] (a : S) : Algebra.norm Rₘ (algebraMap S Sₘ a) = algebraMap R Rₘ (Algebra.norm R a) := by cases subsingleton_or_nontrivial R · haveI : Subsingleton Rₘ := Module.subsingleton R Rₘ simp [eq_iff_true_of_subsingleton] let b := Module.Free.chooseBasis R S letI := Classical.decEq (Module.Free.ChooseBasisIndex R S) rw [Algebra.norm_eq_matrix_det (b.localizationLocalization Rₘ M Sₘ), Algebra.norm_eq_matrix_det b, RingHom.map_det, ← Algebra.map_leftMulMatrix_localization] #align algebra.norm_localization Algebra.norm_localization variable {M} in lemma Algebra.norm_eq_iff [Module.Free R S] [Module.Finite R S] {a : S} {b : R} (hM : M ≤ nonZeroDivisors R) : Algebra.norm R a = b ↔ (Algebra.norm Rₘ) ((algebraMap S Sₘ) a) = algebraMap R Rₘ b := ⟨fun h ↦ h.symm ▸ Algebra.norm_localization _ M _, fun h ↦ IsLocalization.injective Rₘ hM <| h.symm ▸ (Algebra.norm_localization R M a).symm⟩ theorem Algebra.trace_localization [Module.Free R S] [Module.Finite R S] (a : S) : Algebra.trace Rₘ Sₘ (algebraMap S Sₘ a) = algebraMap R Rₘ (Algebra.trace R S a) := by cases subsingleton_or_nontrivial R · haveI : Subsingleton Rₘ := Module.subsingleton R Rₘ simp [eq_iff_true_of_subsingleton] let b := Module.Free.chooseBasis R S letI := Classical.decEq (Module.Free.ChooseBasisIndex R S) rw [Algebra.trace_eq_matrix_trace (b.localizationLocalization Rₘ M Sₘ), Algebra.trace_eq_matrix_trace b, ← Algebra.map_leftMulMatrix_localization] exact (AddMonoidHom.map_trace (algebraMap R Rₘ).toAddMonoidHom _).symm section LocalizationLocalization variable (Sₘ : Type*) [CommRing Sₘ] [Algebra S Sₘ] [Algebra Rₘ Sₘ] [Algebra R Sₘ] variable [IsScalarTower R Rₘ Sₘ] [IsScalarTower R S Sₘ] variable [IsLocalization (Algebra.algebraMapSubmonoid S M) Sₘ] variable {ι : Type*} [Fintype ι] [DecidableEq ι]
Mathlib/RingTheory/Localization/NormTrace.lean
101
109
theorem Algebra.traceMatrix_localizationLocalization (b : Basis ι R S) : Algebra.traceMatrix Rₘ (b.localizationLocalization Rₘ M Sₘ) = (algebraMap R Rₘ).mapMatrix (Algebra.traceMatrix R b) := by
have : Module.Finite R S := Module.Finite.of_basis b have : Module.Free R S := Module.Free.of_basis b ext i j : 2 simp_rw [RingHom.mapMatrix_apply, Matrix.map_apply, traceMatrix_apply, traceForm_apply, Basis.localizationLocalization_apply, ← map_mul] exact Algebra.trace_localization R M _
0
import Mathlib.Topology.Algebra.Module.Basic import Mathlib.Analysis.Normed.MulAction #align_import analysis.normed_space.continuous_linear_map from "leanprover-community/mathlib"@"fe18deda804e30c594e75a6e5fe0f7d14695289f" open Metric ContinuousLinearMap open Set Real open NNReal variable {𝕜 𝕜₂ E F G : Type*} section SeminormedAddCommGroup variable [Ring 𝕜] [Ring 𝕜₂] variable [SeminormedAddCommGroup E] [SeminormedAddCommGroup F] [SeminormedAddCommGroup G] variable [Module 𝕜 E] [Module 𝕜₂ F] [Module 𝕜 G] variable {σ : 𝕜 →+* 𝕜₂} (f : E →ₛₗ[σ] F) def LinearMap.mkContinuous (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : E →SL[σ] F := ⟨f, AddMonoidHomClass.continuous_of_bound f C h⟩ #align linear_map.mk_continuous LinearMap.mkContinuous def LinearMap.mkContinuousOfExistsBound (h : ∃ C, ∀ x, ‖f x‖ ≤ C * ‖x‖) : E →SL[σ] F := ⟨f, let ⟨C, hC⟩ := h AddMonoidHomClass.continuous_of_bound f C hC⟩ #align linear_map.mk_continuous_of_exists_bound LinearMap.mkContinuousOfExistsBound theorem continuous_of_linear_of_boundₛₗ {f : E → F} (h_add : ∀ x y, f (x + y) = f x + f y) (h_smul : ∀ (c : 𝕜) (x), f (c • x) = σ c • f x) {C : ℝ} (h_bound : ∀ x, ‖f x‖ ≤ C * ‖x‖) : Continuous f := let φ : E →ₛₗ[σ] F := { toFun := f map_add' := h_add map_smul' := h_smul } AddMonoidHomClass.continuous_of_bound φ C h_bound #align continuous_of_linear_of_boundₛₗ continuous_of_linear_of_boundₛₗ theorem continuous_of_linear_of_bound {f : E → G} (h_add : ∀ x y, f (x + y) = f x + f y) (h_smul : ∀ (c : 𝕜) (x), f (c • x) = c • f x) {C : ℝ} (h_bound : ∀ x, ‖f x‖ ≤ C * ‖x‖) : Continuous f := let φ : E →ₗ[𝕜] G := { toFun := f map_add' := h_add map_smul' := h_smul } AddMonoidHomClass.continuous_of_bound φ C h_bound #align continuous_of_linear_of_bound continuous_of_linear_of_bound @[simp, norm_cast] theorem LinearMap.mkContinuous_coe (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : (f.mkContinuous C h : E →ₛₗ[σ] F) = f := rfl #align linear_map.mk_continuous_coe LinearMap.mkContinuous_coe @[simp] theorem LinearMap.mkContinuous_apply (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) (x : E) : f.mkContinuous C h x = f x := rfl #align linear_map.mk_continuous_apply LinearMap.mkContinuous_apply @[simp, norm_cast] theorem LinearMap.mkContinuousOfExistsBound_coe (h : ∃ C, ∀ x, ‖f x‖ ≤ C * ‖x‖) : (f.mkContinuousOfExistsBound h : E →ₛₗ[σ] F) = f := rfl #align linear_map.mk_continuous_of_exists_bound_coe LinearMap.mkContinuousOfExistsBound_coe @[simp] theorem LinearMap.mkContinuousOfExistsBound_apply (h : ∃ C, ∀ x, ‖f x‖ ≤ C * ‖x‖) (x : E) : f.mkContinuousOfExistsBound h x = f x := rfl #align linear_map.mk_continuous_of_exists_bound_apply LinearMap.mkContinuousOfExistsBound_apply section Seminormed variable [Ring 𝕜] [Ring 𝕜₂] variable [SeminormedAddCommGroup E] [SeminormedAddCommGroup F] variable [Module 𝕜 E] [Module 𝕜₂ F] variable {σ : 𝕜 →+* 𝕜₂} (f : E →ₛₗ[σ] F) def ContinuousLinearMap.ofHomothety (f : E →ₛₗ[σ] F) (a : ℝ) (hf : ∀ x, ‖f x‖ = a * ‖x‖) : E →SL[σ] F := f.mkContinuous a fun x => le_of_eq (hf x) #align continuous_linear_map.of_homothety ContinuousLinearMap.ofHomothety variable {σ₂₁ : 𝕜₂ →+* 𝕜} [RingHomInvPair σ σ₂₁] [RingHomInvPair σ₂₁ σ]
Mathlib/Analysis/NormedSpace/ContinuousLinearMap.lean
198
205
theorem ContinuousLinearEquiv.homothety_inverse (a : ℝ) (ha : 0 < a) (f : E ≃ₛₗ[σ] F) : (∀ x : E, ‖f x‖ = a * ‖x‖) → ∀ y : F, ‖f.symm y‖ = a⁻¹ * ‖y‖ := by
intro hf y calc ‖f.symm y‖ = a⁻¹ * (a * ‖f.symm y‖) := by rw [← mul_assoc, inv_mul_cancel (ne_of_lt ha).symm, one_mul] _ = a⁻¹ * ‖f (f.symm y)‖ := by rw [hf] _ = a⁻¹ * ‖y‖ := by simp
0
import Mathlib.Computability.Halting import Mathlib.Computability.TuringMachine import Mathlib.Data.Num.Lemmas import Mathlib.Tactic.DeriveFintype #align_import computability.tm_to_partrec from "leanprover-community/mathlib"@"6155d4351090a6fad236e3d2e4e0e4e7342668e8" open Function (update) open Relation namespace Turing namespace ToPartrec inductive Code | zero' | succ | tail | cons : Code → Code → Code | comp : Code → Code → Code | case : Code → Code → Code | fix : Code → Code deriving DecidableEq, Inhabited #align turing.to_partrec.code Turing.ToPartrec.Code #align turing.to_partrec.code.zero' Turing.ToPartrec.Code.zero' #align turing.to_partrec.code.succ Turing.ToPartrec.Code.succ #align turing.to_partrec.code.tail Turing.ToPartrec.Code.tail #align turing.to_partrec.code.cons Turing.ToPartrec.Code.cons #align turing.to_partrec.code.comp Turing.ToPartrec.Code.comp #align turing.to_partrec.code.case Turing.ToPartrec.Code.case #align turing.to_partrec.code.fix Turing.ToPartrec.Code.fix def Code.eval : Code → List ℕ →. List ℕ | Code.zero' => fun v => pure (0 :: v) | Code.succ => fun v => pure [v.headI.succ] | Code.tail => fun v => pure v.tail | Code.cons f fs => fun v => do let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) | Code.comp f g => fun v => g.eval v >>= f.eval | Code.case f g => fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) | Code.fix f => PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail #align turing.to_partrec.code.eval Turing.ToPartrec.Code.eval namespace Code @[simp] theorem zero'_eval : zero'.eval = fun v => pure (0 :: v) := by simp [eval] @[simp] theorem succ_eval : succ.eval = fun v => pure [v.headI.succ] := by simp [eval] @[simp] theorem tail_eval : tail.eval = fun v => pure v.tail := by simp [eval] @[simp] theorem cons_eval (f fs) : (cons f fs).eval = fun v => do { let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) } := by simp [eval] @[simp] theorem comp_eval (f g) : (comp f g).eval = fun v => g.eval v >>= f.eval := by simp [eval] @[simp] theorem case_eval (f g) : (case f g).eval = fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) := by simp [eval] @[simp] theorem fix_eval (f) : (fix f).eval = PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail := by simp [eval] def nil : Code := tail.comp succ #align turing.to_partrec.code.nil Turing.ToPartrec.Code.nil @[simp] theorem nil_eval (v) : nil.eval v = pure [] := by simp [nil] #align turing.to_partrec.code.nil_eval Turing.ToPartrec.Code.nil_eval def id : Code := tail.comp zero' #align turing.to_partrec.code.id Turing.ToPartrec.Code.id @[simp] theorem id_eval (v) : id.eval v = pure v := by simp [id] #align turing.to_partrec.code.id_eval Turing.ToPartrec.Code.id_eval def head : Code := cons id nil #align turing.to_partrec.code.head Turing.ToPartrec.Code.head @[simp] theorem head_eval (v) : head.eval v = pure [v.headI] := by simp [head] #align turing.to_partrec.code.head_eval Turing.ToPartrec.Code.head_eval def zero : Code := cons zero' nil #align turing.to_partrec.code.zero Turing.ToPartrec.Code.zero @[simp]
Mathlib/Computability/TMToPartrec.lean
201
201
theorem zero_eval (v) : zero.eval v = pure [0] := by
simp [zero]
0
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1 #align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e" open TopologicalSpace MeasureTheory.Lp Filter open scoped ENNReal Topology MeasureTheory namespace MeasureTheory variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜] -- 𝕜 for ℝ or ℂ -- F for a Lp submodule [NormedAddCommGroup F] [NormedSpace 𝕜 F] -- F' for integrals on a Lp submodule [NormedAddCommGroup F'] [NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F'] open scoped Classical variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α} noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α} (μ : Measure α) (f : α → F') : α → F' := if hm : m ≤ m0 then if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then if StronglyMeasurable[m] f then f else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk (@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f) else 0 else 0 #align measure_theory.condexp MeasureTheory.condexp -- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`. scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not] #align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) : μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not #align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] : μ[f|m] = if Integrable f μ then if StronglyMeasurable[m] f then f else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f) else 0 := by rw [condexp, dif_pos hm] simp only [hμm, Ne, true_and_iff] by_cases hf : Integrable f μ · rw [dif_pos hf, if_pos hf] · rw [dif_neg hf, if_neg hf] #align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'} (hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf] #align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] : μ[fun _ : α => c|m] = fun _ => c := condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c) #align measure_theory.condexp_const MeasureTheory.condexp_const theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') : μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by rw [condexp_of_sigmaFinite hm] by_cases hfi : Integrable f μ · rw [if_pos hfi] by_cases hfm : StronglyMeasurable[m] f · rw [if_pos hfm] exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm) hfi).symm · rw [if_neg hfm] exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm rw [if_neg hfi, condexpL1_undef hfi] exact (coeFn_zero _ _ _).symm set_option linter.uppercaseLean3 false in #align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean
152
155
theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) : μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_) rw [condexpL1_eq hf]
0
import Mathlib.Control.Functor.Multivariate import Mathlib.Data.PFunctor.Univariate.Basic #align_import data.pfunctor.multivariate.basic from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d" universe u v open MvFunctor @[pp_with_univ] structure MvPFunctor (n : ℕ) where A : Type u B : A → TypeVec.{u} n #align mvpfunctor MvPFunctor namespace MvPFunctor open MvFunctor (LiftP LiftR) variable {n m : ℕ} (P : MvPFunctor.{u} n) @[coe] def Obj (α : TypeVec.{u} n) : Type u := Σ a : P.A, P.B a ⟹ α #align mvpfunctor.obj MvPFunctor.Obj instance : CoeFun (MvPFunctor.{u} n) (fun _ => TypeVec.{u} n → Type u) where coe := Obj def map {α β : TypeVec n} (f : α ⟹ β) : P α → P β := fun ⟨a, g⟩ => ⟨a, TypeVec.comp f g⟩ #align mvpfunctor.map MvPFunctor.map instance : Inhabited (MvPFunctor n) := ⟨⟨default, default⟩⟩ instance Obj.inhabited {α : TypeVec n} [Inhabited P.A] [∀ i, Inhabited (α i)] : Inhabited (P α) := ⟨⟨default, fun _ _ => default⟩⟩ #align mvpfunctor.obj.inhabited MvPFunctor.Obj.inhabited instance : MvFunctor.{u} P.Obj := ⟨@MvPFunctor.map n P⟩ theorem map_eq {α β : TypeVec n} (g : α ⟹ β) (a : P.A) (f : P.B a ⟹ α) : @MvFunctor.map _ P.Obj _ _ _ g ⟨a, f⟩ = ⟨a, g ⊚ f⟩ := rfl #align mvpfunctor.map_eq MvPFunctor.map_eq theorem id_map {α : TypeVec n} : ∀ x : P α, TypeVec.id <$$> x = x | ⟨_, _⟩ => rfl #align mvpfunctor.id_map MvPFunctor.id_map theorem comp_map {α β γ : TypeVec n} (f : α ⟹ β) (g : β ⟹ γ) : ∀ x : P α, (g ⊚ f) <$$> x = g <$$> f <$$> x | ⟨_, _⟩ => rfl #align mvpfunctor.comp_map MvPFunctor.comp_map instance : LawfulMvFunctor.{u} P.Obj where id_map := @id_map _ P comp_map := @comp_map _ P def const (n : ℕ) (A : Type u) : MvPFunctor n := { A B := fun _ _ => PEmpty } #align mvpfunctor.const MvPFunctor.const section Const variable (n) {A : Type u} {α β : TypeVec.{u} n} def const.mk (x : A) {α} : const n A α := ⟨x, fun _ a => PEmpty.elim a⟩ #align mvpfunctor.const.mk MvPFunctor.const.mk variable {n} def const.get (x : const n A α) : A := x.1 #align mvpfunctor.const.get MvPFunctor.const.get @[simp] theorem const.get_map (f : α ⟹ β) (x : const n A α) : const.get (f <$$> x) = const.get x := by cases x rfl #align mvpfunctor.const.get_map MvPFunctor.const.get_map @[simp] theorem const.get_mk (x : A) : const.get (const.mk n x : const n A α) = x := rfl #align mvpfunctor.const.get_mk MvPFunctor.const.get_mk @[simp]
Mathlib/Data/PFunctor/Multivariate/Basic.lean
116
119
theorem const.mk_get (x : const n A α) : const.mk n (const.get x) = x := by
cases x dsimp [const.get, const.mk] congr with (_⟨⟩)
0
import Mathlib.Algebra.Module.Torsion import Mathlib.RingTheory.DedekindDomain.Ideal #align_import algebra.module.dedekind_domain from "leanprover-community/mathlib"@"cdc34484a07418af43daf8198beaf5c00324bca8" universe u v variable {R : Type u} [CommRing R] [IsDomain R] {M : Type v} [AddCommGroup M] [Module R M] open scoped DirectSum namespace Submodule variable [IsDedekindDomain R] open UniqueFactorizationMonoid open scoped Classical theorem isInternal_prime_power_torsion_of_is_torsion_by_ideal {I : Ideal R} (hI : I ≠ ⊥) (hM : Module.IsTorsionBySet R M I) : DirectSum.IsInternal fun p : (factors I).toFinset => torsionBySet R M (p ^ (factors I).count ↑p : Ideal R) := by let P := factors I have prime_of_mem := fun p (hp : p ∈ P.toFinset) => prime_of_factor p (Multiset.mem_toFinset.mp hp) apply torsionBySet_isInternal (p := fun p => p ^ P.count p) _ · convert hM rw [← Finset.inf_eq_iInf, IsDedekindDomain.inf_prime_pow_eq_prod, ← Finset.prod_multiset_count, ← associated_iff_eq] · exact factors_prod hI · exact prime_of_mem · exact fun _ _ _ _ ij => ij · intro p hp q hq pq; dsimp rw [irreducible_pow_sup] · suffices (normalizedFactors _).count p = 0 by rw [this, zero_min, pow_zero, Ideal.one_eq_top] rw [Multiset.count_eq_zero, normalizedFactors_of_irreducible_pow (prime_of_mem q hq).irreducible, Multiset.mem_replicate] exact fun H => pq <| H.2.trans <| normalize_eq q · rw [← Ideal.zero_eq_bot]; apply pow_ne_zero; exact (prime_of_mem q hq).ne_zero · exact (prime_of_mem p hp).irreducible #align submodule.is_internal_prime_power_torsion_of_is_torsion_by_ideal Submodule.isInternal_prime_power_torsion_of_is_torsion_by_ideal
Mathlib/Algebra/Module/DedekindDomain.lean
65
72
theorem isInternal_prime_power_torsion [Module.Finite R M] (hM : Module.IsTorsion R M) : DirectSum.IsInternal fun p : (factors (⊤ : Submodule R M).annihilator).toFinset => torsionBySet R M (p ^ (factors (⊤ : Submodule R M).annihilator).count ↑p : Ideal R) := by
have hM' := Module.isTorsionBySet_annihilator_top R M have hI := Submodule.annihilator_top_inter_nonZeroDivisors hM refine isInternal_prime_power_torsion_of_is_torsion_by_ideal ?_ hM' rw [← Set.nonempty_iff_ne_empty] at hI; rw [Submodule.ne_bot_iff] obtain ⟨x, H, hx⟩ := hI; exact ⟨x, H, nonZeroDivisors.ne_zero hx⟩
0
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Laurent import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.RingTheory.Polynomial.Nilpotent #align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912" noncomputable section -- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with -- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)` universe u v w z open Finset Matrix Polynomial variable {R : Type u} [CommRing R] variable {n G : Type v} [DecidableEq n] [Fintype n] variable {α β : Type v} [DecidableEq α] variable {M : Matrix n n R} namespace Matrix theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) : (charmatrix M i j).natDegree = ite (i = j) 1 0 := by by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)] #align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree theorem charmatrix_apply_natDegree_le (i j : n) : (charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by split_ifs with h <;> simp [h, natDegree_X_le] #align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le variable (M)
Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean
61
78
theorem charpoly_sub_diagonal_degree_lt : (M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by
rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)), sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm] simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one, Units.val_one, add_sub_cancel_right, Equiv.coe_refl] rw [← mem_degreeLT] apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1)) intro c hc; rw [← C_eq_intCast, C_mul'] apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c) rw [mem_degreeLT] apply lt_of_le_of_lt degree_le_natDegree _ rw [Nat.cast_lt] apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc)) apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _ rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum intros apply charmatrix_apply_natDegree_le
0
import Mathlib.FieldTheory.Galois #align_import field_theory.polynomial_galois_group from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" noncomputable section open scoped Polynomial open FiniteDimensional namespace Polynomial variable {F : Type*} [Field F] (p q : F[X]) (E : Type*) [Field E] [Algebra F E] def Gal := p.SplittingField ≃ₐ[F] p.SplittingField -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5020): -- deriving Group, Fintype #align polynomial.gal Polynomial.Gal namespace Gal instance instGroup : Group (Gal p) := inferInstanceAs (Group (p.SplittingField ≃ₐ[F] p.SplittingField)) instance instFintype : Fintype (Gal p) := inferInstanceAs (Fintype (p.SplittingField ≃ₐ[F] p.SplittingField)) instance : CoeFun p.Gal fun _ => p.SplittingField → p.SplittingField := -- Porting note: was AlgEquiv.hasCoeToFun inferInstanceAs (CoeFun (p.SplittingField ≃ₐ[F] p.SplittingField) _) instance applyMulSemiringAction : MulSemiringAction p.Gal p.SplittingField := AlgEquiv.applyMulSemiringAction #align polynomial.gal.apply_mul_semiring_action Polynomial.Gal.applyMulSemiringAction @[ext]
Mathlib/FieldTheory/PolynomialGaloisGroup.lean
74
79
theorem ext {σ τ : p.Gal} (h : ∀ x ∈ p.rootSet p.SplittingField, σ x = τ x) : σ = τ := by
refine AlgEquiv.ext fun x => (AlgHom.mem_equalizer σ.toAlgHom τ.toAlgHom x).mp ((SetLike.ext_iff.mp ?_ x).mpr Algebra.mem_top) rwa [eq_top_iff, ← SplittingField.adjoin_rootSet, Algebra.adjoin_le_iff]
0
import Mathlib.Algebra.Regular.Basic import Mathlib.LinearAlgebra.Matrix.MvPolynomial import Mathlib.LinearAlgebra.Matrix.Polynomial import Mathlib.RingTheory.Polynomial.Basic #align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a" namespace Matrix universe u v w variable {m : Type u} {n : Type v} {α : Type w} variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α] open Matrix Polynomial Equiv Equiv.Perm Finset section Cramer variable (A : Matrix n n α) (b : n → α) def cramerMap (i : n) : α := (A.updateColumn i b).det #align matrix.cramer_map Matrix.cramerMap theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i := { map_add := det_updateColumn_add _ _ map_smul := det_updateColumn_smul _ _ } #align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by constructor <;> intros <;> ext i · apply (cramerMap_is_linear A i).1 · apply (cramerMap_is_linear A i).2 #align matrix.cramer_is_linear Matrix.cramer_is_linear def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) := IsLinearMap.mk' (cramerMap A) (cramer_is_linear A) #align matrix.cramer Matrix.cramer theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det := rfl #align matrix.cramer_apply Matrix.cramer_apply theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by rw [cramer_apply, updateColumn_transpose, det_transpose] #align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by ext j rw [cramer_apply, Pi.single_apply] split_ifs with h · -- i = j: this entry should be `A.det` subst h simp only [updateColumn_transpose, det_transpose, updateRow_eq_self] · -- i ≠ j: this entry should be 0 rw [updateColumn_transpose, det_transpose] apply det_zero_of_row_eq h rw [updateRow_self, updateRow_ne (Ne.symm h)] #align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by rw [← transpose_transpose A, det_transpose] convert cramer_transpose_row_self Aᵀ i exact funext h #align matrix.cramer_row_self Matrix.cramer_row_self @[simp] theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by -- Porting note: was `ext i j` refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_))) convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j · simp · intro j rw [Matrix.one_eq_pi_single, Pi.single_comm] #align matrix.cramer_one Matrix.cramer_one theorem cramer_smul (r : α) (A : Matrix n n α) : cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A := LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _ #align matrix.cramer_smul Matrix.cramer_smul @[simp] theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) : cramer A b i = b i := by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self] #align matrix.cramer_subsingleton_apply Matrix.cramer_subsingleton_apply theorem cramer_zero [Nontrivial n] : cramer (0 : Matrix n n α) = 0 := by ext i j obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j apply det_eq_zero_of_column_eq_zero j' intro j'' simp [updateColumn_ne hj'] #align matrix.cramer_zero Matrix.cramer_zero theorem sum_cramer {β} (s : Finset β) (f : β → n → α) : (∑ x ∈ s, cramer A (f x)) = cramer A (∑ x ∈ s, f x) := (map_sum (cramer A) ..).symm #align matrix.sum_cramer Matrix.sum_cramer
Mathlib/LinearAlgebra/Matrix/Adjugate.lean
160
170
theorem sum_cramer_apply {β} (s : Finset β) (f : n → β → α) (i : n) : (∑ x ∈ s, cramer A (fun j => f j x) i) = cramer A (fun j : n => ∑ x ∈ s, f j x) i := calc (∑ x ∈ s, cramer A (fun j => f j x) i) = (∑ x ∈ s, cramer A fun j => f j x) i := (Finset.sum_apply i s _).symm _ = cramer A (fun j : n => ∑ x ∈ s, f j x) i := by
rw [sum_cramer, cramer_apply, cramer_apply] simp only [updateColumn] congr with j congr apply Finset.sum_apply
0
import Mathlib.Logic.Function.Iterate import Mathlib.Init.Data.Int.Order import Mathlib.Order.Compare import Mathlib.Order.Max import Mathlib.Order.RelClasses import Mathlib.Tactic.Choose #align_import order.monotone.basic from "leanprover-community/mathlib"@"554bb38de8ded0dafe93b7f18f0bfee6ef77dc5d" open Function OrderDual universe u v w variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {δ : Type*} {π : ι → Type*} {r : α → α → Prop} namespace List section Preorder variable [Preorder α]
Mathlib/Order/Monotone/Basic.lean
1,014
1,018
theorem Nat.rel_of_forall_rel_succ_of_le_of_lt (r : β → β → Prop) [IsTrans β r] {f : ℕ → β} {a : ℕ} (h : ∀ n, a ≤ n → r (f n) (f (n + 1))) ⦃b c : ℕ⦄ (hab : a ≤ b) (hbc : b < c) : r (f b) (f c) := by
induction' hbc with k b_lt_k r_b_k exacts [h _ hab, _root_.trans r_b_k (h _ (hab.trans_lt b_lt_k).le)]
0
import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.Dimension.Constructions open Cardinal Submodule Set FiniteDimensional universe u v namespace Subalgebra variable {F E : Type*} [CommRing F] [StrongRankCondition F] [Ring E] [Algebra F E] {S : Subalgebra F E} theorem eq_bot_of_rank_le_one (h : Module.rank F S ≤ 1) [Module.Free F S] : S = ⊥ := by nontriviality E obtain ⟨κ, b⟩ := Module.Free.exists_basis (R := F) (M := S) by_cases h1 : Module.rank F S = 1 · refine bot_unique fun x hx ↦ Algebra.mem_bot.2 ?_ rw [← b.mk_eq_rank'', eq_one_iff_unique, ← unique_iff_subsingleton_and_nonempty] at h1 obtain ⟨h1⟩ := h1 obtain ⟨y, hy⟩ := (bijective_algebraMap_of_linearEquiv (b.repr ≪≫ₗ Finsupp.LinearEquiv.finsuppUnique _ _ _).symm).surjective ⟨x, hx⟩ exact ⟨y, congr(Subtype.val $(hy))⟩ haveI := mk_eq_zero_iff.1 (b.mk_eq_rank''.symm ▸ lt_one_iff_zero.1 (h.lt_of_ne h1)) haveI := b.repr.toEquiv.subsingleton exact False.elim <| one_ne_zero congr(S.val $(Subsingleton.elim 1 0)) #align subalgebra.eq_bot_of_rank_le_one Subalgebra.eq_bot_of_rank_le_one
Mathlib/LinearAlgebra/Dimension/FreeAndStrongRankCondition.lean
277
280
theorem eq_bot_of_finrank_one (h : finrank F S = 1) [Module.Free F S] : S = ⊥ := by
refine Subalgebra.eq_bot_of_rank_le_one ?_ rw [finrank, toNat_eq_one] at h rw [h]
0
import Mathlib.AlgebraicTopology.DoldKan.PInfty #align_import algebraic_topology.dold_kan.decomposition from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive Opposite Simplicial noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X X' : SimplicialObject C} theorem decomposition_Q (n q : ℕ) : ((Q q).f (n + 1) : X _[n + 1] ⟶ X _[n + 1]) = ∑ i ∈ Finset.filter (fun i : Fin (n + 1) => (i : ℕ) < q) Finset.univ, (P i).f (n + 1) ≫ X.δ i.rev.succ ≫ X.σ (Fin.rev i) := by induction' q with q hq · simp only [Nat.zero_eq, Q_zero, HomologicalComplex.zero_f_apply, Nat.not_lt_zero, Finset.filter_False, Finset.sum_empty] · by_cases hqn : q + 1 ≤ n + 1 swap · rw [Q_is_eventually_constant (show n + 1 ≤ q by omega), hq] congr 1 ext ⟨x, hx⟩ simp only [Nat.succ_eq_add_one, Finset.mem_filter, Finset.mem_univ, true_and] omega · cases' Nat.le.dest (Nat.succ_le_succ_iff.mp hqn) with a ha rw [Q_succ, HomologicalComplex.sub_f_apply, HomologicalComplex.comp_f, hq] symm conv_rhs => rw [sub_eq_add_neg, add_comm] let q' : Fin (n + 1) := ⟨q, Nat.succ_le_iff.mp hqn⟩ rw [← @Finset.add_sum_erase _ _ _ _ _ _ q' (by simp)] congr · have hnaq' : n = a + q := by omega simp only [Fin.val_mk, (HigherFacesVanish.of_P q n).comp_Hσ_eq hnaq', q'.rev_eq hnaq', neg_neg] rfl · ext ⟨i, hi⟩ simp only [q', Nat.succ_eq_add_one, Nat.lt_succ_iff_lt_or_eq, Finset.mem_univ, forall_true_left, Finset.mem_filter, lt_self_iff_false, or_true, and_self, not_true, Finset.mem_erase, ne_eq, Fin.mk.injEq, true_and] aesop set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.decomposition_Q AlgebraicTopology.DoldKan.decomposition_Q variable (X) -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure MorphComponents (n : ℕ) (Z : C) where a : X _[n + 1] ⟶ Z b : Fin (n + 1) → (X _[n] ⟶ Z) #align algebraic_topology.dold_kan.morph_components AlgebraicTopology.DoldKan.MorphComponents namespace MorphComponents variable {X} {n : ℕ} {Z Z' : C} (f : MorphComponents X n Z) (g : X' ⟶ X) (h : Z ⟶ Z') def φ {Z : C} (f : MorphComponents X n Z) : X _[n + 1] ⟶ Z := PInfty.f (n + 1) ≫ f.a + ∑ i : Fin (n + 1), (P i).f (n + 1) ≫ X.δ i.rev.succ ≫ f.b (Fin.rev i) #align algebraic_topology.dold_kan.morph_components.φ AlgebraicTopology.DoldKan.MorphComponents.φ variable (X n) @[simps] def id : MorphComponents X n (X _[n + 1]) where a := PInfty.f (n + 1) b i := X.σ i #align algebraic_topology.dold_kan.morph_components.id AlgebraicTopology.DoldKan.MorphComponents.id @[simp]
Mathlib/AlgebraicTopology/DoldKan/Decomposition.lean
120
124
theorem id_φ : (id X n).φ = 𝟙 _ := by
simp only [← P_add_Q_f (n + 1) (n + 1), φ] congr 1 · simp only [id, PInfty_f, P_f_idem] · exact Eq.trans (by congr; simp) (decomposition_Q n (n + 1)).symm
0
import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPreregular import Mathlib.Topology.Category.CompHaus.EffectiveEpi import Mathlib.Topology.Category.Stonean.Limits import Mathlib.Topology.Category.CompHaus.EffectiveEpi universe u open CategoryTheory Limits namespace Stonean noncomputable def struct {B X : Stonean.{u}} (π : X ⟶ B) (hπ : Function.Surjective π) : EffectiveEpiStruct π where desc e h := (QuotientMap.of_surjective_continuous hπ π.continuous).lift e fun a b hab ↦ DFunLike.congr_fun (h ⟨fun _ ↦ a, continuous_const⟩ ⟨fun _ ↦ b, continuous_const⟩ (by ext; exact hab)) a fac e h := ((QuotientMap.of_surjective_continuous hπ π.continuous).lift_comp e fun a b hab ↦ DFunLike.congr_fun (h ⟨fun _ ↦ a, continuous_const⟩ ⟨fun _ ↦ b, continuous_const⟩ (by ext; exact hab)) a) uniq e h g hm := by suffices g = (QuotientMap.of_surjective_continuous hπ π.continuous).liftEquiv ⟨e, fun a b hab ↦ DFunLike.congr_fun (h ⟨fun _ ↦ a, continuous_const⟩ ⟨fun _ ↦ b, continuous_const⟩ (by ext; exact hab)) a⟩ by assumption rw [← Equiv.symm_apply_eq (QuotientMap.of_surjective_continuous hπ π.continuous).liftEquiv] ext simp only [QuotientMap.liftEquiv_symm_apply_coe, ContinuousMap.comp_apply, ← hm] rfl open List in theorem effectiveEpi_tfae {B X : Stonean.{u}} (π : X ⟶ B) : TFAE [ EffectiveEpi π , Epi π , Function.Surjective π ] := by tfae_have 1 → 2 · intro; infer_instance tfae_have 2 ↔ 3 · exact epi_iff_surjective π tfae_have 3 → 1 · exact fun hπ ↦ ⟨⟨struct π hπ⟩⟩ tfae_finish instance : Stonean.toCompHaus.PreservesEffectiveEpis where preserves f h := ((CompHaus.effectiveEpi_tfae f).out 0 2).mpr (((Stonean.effectiveEpi_tfae f).out 0 2).mp h) instance : Stonean.toCompHaus.ReflectsEffectiveEpis where reflects f h := ((Stonean.effectiveEpi_tfae f).out 0 2).mpr (((CompHaus.effectiveEpi_tfae f).out 0 2).mp h) noncomputable def stoneanToCompHausEffectivePresentation (X : CompHaus) : Stonean.toCompHaus.EffectivePresentation X where p := X.presentation f := CompHaus.presentation.π X effectiveEpi := ((CompHaus.effectiveEpi_tfae _).out 0 1).mpr (inferInstance : Epi _) instance : Stonean.toCompHaus.EffectivelyEnough where presentation X := ⟨stoneanToCompHausEffectivePresentation X⟩ instance : Preregular Stonean := Stonean.toCompHaus.reflects_preregular example : Precoherent Stonean.{u} := inferInstance -- TODO: prove this for `Type*` open List in
Mathlib/Topology/Category/Stonean/EffectiveEpi.lean
103
121
theorem effectiveEpiFamily_tfae {α : Type} [Finite α] {B : Stonean.{u}} (X : α → Stonean.{u}) (π : (a : α) → (X a ⟶ B)) : TFAE [ EffectiveEpiFamily X π , Epi (Sigma.desc π) , ∀ b : B, ∃ (a : α) (x : X a), π a x = b ] := by
tfae_have 2 → 1 · intro simpa [← effectiveEpi_desc_iff_effectiveEpiFamily, (effectiveEpi_tfae (Sigma.desc π)).out 0 1] tfae_have 1 → 2 · intro; infer_instance tfae_have 3 ↔ 1 · erw [((CompHaus.effectiveEpiFamily_tfae (fun a ↦ Stonean.toCompHaus.obj (X a)) (fun a ↦ Stonean.toCompHaus.map (π a))).out 2 0 : )] exact ⟨fun h ↦ Stonean.toCompHaus.finite_effectiveEpiFamily_of_map _ _ h, fun _ ↦ inferInstance⟩ tfae_finish
0
import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Ideal.Over import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.jacobson from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" set_option autoImplicit true universe u namespace Ideal open Polynomial open Polynomial section IsJacobson variable {R S : Type*} [CommRing R] [CommRing S] {I : Ideal R} class IsJacobson (R : Type*) [CommRing R] : Prop where out' : ∀ I : Ideal R, I.IsRadical → I.jacobson = I #align ideal.is_jacobson Ideal.IsJacobson theorem isJacobson_iff {R} [CommRing R] : IsJacobson R ↔ ∀ I : Ideal R, I.IsRadical → I.jacobson = I := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align ideal.is_jacobson_iff Ideal.isJacobson_iff theorem IsJacobson.out {R} [CommRing R] : IsJacobson R → ∀ {I : Ideal R}, I.IsRadical → I.jacobson = I := isJacobson_iff.1 #align ideal.is_jacobson.out Ideal.IsJacobson.out theorem isJacobson_iff_prime_eq : IsJacobson R ↔ ∀ P : Ideal R, IsPrime P → P.jacobson = P := by refine isJacobson_iff.trans ⟨fun h I hI => h I hI.isRadical, ?_⟩ refine fun h I hI ↦ le_antisymm (fun x hx ↦ ?_) (fun x hx ↦ mem_sInf.mpr fun _ hJ ↦ hJ.left hx) rw [← hI.radical, radical_eq_sInf I, mem_sInf] intro P hP rw [Set.mem_setOf_eq] at hP erw [mem_sInf] at hx erw [← h P hP.right, mem_sInf] exact fun J hJ => hx ⟨le_trans hP.left hJ.left, hJ.right⟩ #align ideal.is_jacobson_iff_prime_eq Ideal.isJacobson_iff_prime_eq theorem isJacobson_iff_sInf_maximal : IsJacobson R ↔ ∀ {I : Ideal R}, I.IsPrime → ∃ M : Set (Ideal R), (∀ J ∈ M, IsMaximal J ∨ J = ⊤) ∧ I = sInf M := ⟨fun H _I h => eq_jacobson_iff_sInf_maximal.1 (H.out h.isRadical), fun H => isJacobson_iff_prime_eq.2 fun _P hP => eq_jacobson_iff_sInf_maximal.2 (H hP)⟩ #align ideal.is_jacobson_iff_Inf_maximal Ideal.isJacobson_iff_sInf_maximal theorem isJacobson_iff_sInf_maximal' : IsJacobson R ↔ ∀ {I : Ideal R}, I.IsPrime → ∃ M : Set (Ideal R), (∀ J ∈ M, ∀ (K : Ideal R), J < K → K = ⊤) ∧ I = sInf M := ⟨fun H _I h => eq_jacobson_iff_sInf_maximal'.1 (H.out h.isRadical), fun H => isJacobson_iff_prime_eq.2 fun _P hP => eq_jacobson_iff_sInf_maximal'.2 (H hP)⟩ #align ideal.is_jacobson_iff_Inf_maximal' Ideal.isJacobson_iff_sInf_maximal' theorem radical_eq_jacobson [H : IsJacobson R] (I : Ideal R) : I.radical = I.jacobson := le_antisymm (le_sInf fun _J ⟨hJ, hJ_max⟩ => (IsPrime.radical_le_iff hJ_max.isPrime).mpr hJ) (H.out (radical_isRadical I) ▸ jacobson_mono le_radical) #align ideal.radical_eq_jacobson Ideal.radical_eq_jacobson instance (priority := 100) isJacobson_field {K : Type*} [Field K] : IsJacobson K := ⟨fun I _ => Or.recOn (eq_bot_or_top I) (fun h => le_antisymm (sInf_le ⟨le_rfl, h.symm ▸ bot_isMaximal⟩) (h.symm ▸ bot_le)) fun h => by rw [h, jacobson_eq_top_iff]⟩ #align ideal.is_jacobson_field Ideal.isJacobson_field
Mathlib/RingTheory/Jacobson.lean
108
117
theorem isJacobson_of_surjective [H : IsJacobson R] : (∃ f : R →+* S, Function.Surjective ↑f) → IsJacobson S := by
rintro ⟨f, hf⟩ rw [isJacobson_iff_sInf_maximal] intro p hp use map f '' { J : Ideal R | comap f p ≤ J ∧ J.IsMaximal } use fun j ⟨J, hJ, hmap⟩ => hmap ▸ (map_eq_top_or_isMaximal_of_surjective f hf hJ.right).symm have : p = map f (comap f p).jacobson := (IsJacobson.out' _ <| hp.isRadical.comap f).symm ▸ (map_comap_of_surjective f hf p).symm exact this.trans (map_sInf hf fun J ⟨hJ, _⟩ => le_trans (Ideal.ker_le_comap f) hJ)
0
import Mathlib.Data.Real.Irrational import Mathlib.Data.Rat.Encodable import Mathlib.Topology.GDelta #align_import topology.instances.irrational from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Metric open Filter Topology protected theorem IsGδ.setOf_irrational : IsGδ { x | Irrational x } := (countable_range _).isGδ_compl set_option linter.uppercaseLean3 false in #align is_Gδ_irrational IsGδ.setOf_irrational @[deprecated (since := "2024-02-15")] alias isGδ_irrational := IsGδ.setOf_irrational theorem dense_irrational : Dense { x : ℝ | Irrational x } := by refine Real.isTopologicalBasis_Ioo_rat.dense_iff.2 ?_ simp only [gt_iff_lt, Rat.cast_lt, not_lt, ge_iff_le, Rat.cast_le, mem_iUnion, mem_singleton_iff, exists_prop, forall_exists_index, and_imp] rintro _ a b hlt rfl _ rw [inter_comm] exact exists_irrational_btwn (Rat.cast_lt.2 hlt) #align dense_irrational dense_irrational theorem eventually_residual_irrational : ∀ᶠ x in residual ℝ, Irrational x := residual_of_dense_Gδ .setOf_irrational dense_irrational #align eventually_residual_irrational eventually_residual_irrational namespace Irrational variable {x : ℝ} instance : OrderTopology { x // Irrational x } := induced_orderTopology _ Iff.rfl <| @fun _ _ hlt => let ⟨z, hz, hxz, hzy⟩ := exists_irrational_btwn hlt ⟨⟨z, hz⟩, hxz, hzy⟩ instance : NoMaxOrder { x // Irrational x } := ⟨fun ⟨x, hx⟩ => ⟨⟨x + (1 : ℕ), hx.add_nat 1⟩, by simp⟩⟩ instance : NoMinOrder { x // Irrational x } := ⟨fun ⟨x, hx⟩ => ⟨⟨x - (1 : ℕ), hx.sub_nat 1⟩, by simp⟩⟩ instance : DenselyOrdered { x // Irrational x } := ⟨fun _ _ hlt => let ⟨z, hz, hxz, hzy⟩ := exists_irrational_btwn hlt ⟨⟨z, hz⟩, hxz, hzy⟩⟩
Mathlib/Topology/Instances/Irrational.lean
78
89
theorem eventually_forall_le_dist_cast_div (hx : Irrational x) (n : ℕ) : ∀ᶠ ε : ℝ in 𝓝 0, ∀ m : ℤ, ε ≤ dist x (m / n) := by
have A : IsClosed (range (fun m => (n : ℝ)⁻¹ * m : ℤ → ℝ)) := ((isClosedMap_smul₀ (n⁻¹ : ℝ)).comp Int.closedEmbedding_coe_real.isClosedMap).isClosed_range have B : x ∉ range (fun m => (n : ℝ)⁻¹ * m : ℤ → ℝ) := by rintro ⟨m, rfl⟩ simp at hx rcases Metric.mem_nhds_iff.1 (A.isOpen_compl.mem_nhds B) with ⟨ε, ε0, hε⟩ refine (ge_mem_nhds ε0).mono fun δ hδ m => not_lt.1 fun hlt => ?_ rw [dist_comm] at hlt refine hε (ball_subset_ball hδ hlt) ⟨m, ?_⟩ simp [div_eq_inv_mul]
0
import Mathlib.Analysis.Analytic.Linear import Mathlib.Analysis.Analytic.Composition import Mathlib.Analysis.NormedSpace.Completion #align_import analysis.analytic.uniqueness from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] open Set open scoped Topology ENNReal namespace AnalyticOn
Mathlib/Analysis/Analytic/Uniqueness.lean
32
70
theorem eqOn_zero_of_preconnected_of_eventuallyEq_zero_aux [CompleteSpace F] {f : E → F} {U : Set E} (hf : AnalyticOn 𝕜 f U) (hU : IsPreconnected U) {z₀ : E} (h₀ : z₀ ∈ U) (hfz₀ : f =ᶠ[𝓝 z₀] 0) : EqOn f 0 U := by
/- Let `u` be the set of points around which `f` vanishes. It is clearly open. We have to show that its limit points in `U` still belong to it, from which the inclusion `U ⊆ u` will follow by connectedness. -/ let u := {x | f =ᶠ[𝓝 x] 0} suffices main : closure u ∩ U ⊆ u by have Uu : U ⊆ u := hU.subset_of_closure_inter_subset isOpen_setOf_eventually_nhds ⟨z₀, h₀, hfz₀⟩ main intro z hz simpa using mem_of_mem_nhds (Uu hz) /- Take a limit point `x`, then a ball `B (x, r)` on which it has a power series expansion, and then `y ∈ B (x, r/2) ∩ u`. Then `f` has a power series expansion on `B (y, r/2)` as it is contained in `B (x, r)`. All the coefficients in this series expansion vanish, as `f` is zero on a neighborhood of `y`. Therefore, `f` is zero on `B (y, r/2)`. As this ball contains `x`, it follows that `f` vanishes on a neighborhood of `x`, proving the claim. -/ rintro x ⟨xu, xU⟩ rcases hf x xU with ⟨p, r, hp⟩ obtain ⟨y, yu, hxy⟩ : ∃ y ∈ u, edist x y < r / 2 := EMetric.mem_closure_iff.1 xu (r / 2) (ENNReal.half_pos hp.r_pos.ne') let q := p.changeOrigin (y - x) have has_series : HasFPowerSeriesOnBall f q y (r / 2) := by have A : (‖y - x‖₊ : ℝ≥0∞) < r / 2 := by rwa [edist_comm, edist_eq_coe_nnnorm_sub] at hxy have := hp.changeOrigin (A.trans_le ENNReal.half_le_self) simp only [add_sub_cancel] at this apply this.mono (ENNReal.half_pos hp.r_pos.ne') apply ENNReal.le_sub_of_add_le_left ENNReal.coe_ne_top apply (add_le_add A.le (le_refl (r / 2))).trans (le_of_eq _) exact ENNReal.add_halves _ have M : EMetric.ball y (r / 2) ∈ 𝓝 x := EMetric.isOpen_ball.mem_nhds hxy filter_upwards [M] with z hz have A : HasSum (fun n : ℕ => q n fun _ : Fin n => z - y) (f z) := has_series.hasSum_sub hz have B : HasSum (fun n : ℕ => q n fun _ : Fin n => z - y) 0 := by have : HasFPowerSeriesAt 0 q y := has_series.hasFPowerSeriesAt.congr yu convert hasSum_zero (α := F) using 2 ext n exact this.apply_eq_zero n _ exact HasSum.unique A B
0
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.Analysis.SumIntegralComparisons import Mathlib.NumberTheory.Harmonic.Defs
Mathlib/NumberTheory/Harmonic/Bounds.lean
17
24
theorem log_add_one_le_harmonic (n : ℕ) : Real.log ↑(n+1) ≤ harmonic n := by
calc _ = ∫ x in (1:ℕ)..↑(n+1), x⁻¹ := ?_ _ ≤ ∑ d ∈ Finset.Icc 1 n, (d:ℝ)⁻¹ := ?_ _ = harmonic n := ?_ · rw [Nat.cast_one, integral_inv (by simp [(show ¬ (1 : ℝ) ≤ 0 by norm_num)]), div_one] · exact (inv_antitoneOn_Icc_right <| by norm_num).integral_le_sum_Ico (Nat.le_add_left 1 n) · simp only [harmonic_eq_sum_Icc, Rat.cast_sum, Rat.cast_inv, Rat.cast_natCast]
0
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.Galois universe u v w open scoped Classical Polynomial open Polynomial variable (k : Type u) [Field k] (K : Type v) [Field K] class IsSepClosed : Prop where splits_of_separable : ∀ p : k[X], p.Separable → (p.Splits <| RingHom.id k) instance IsSepClosed.of_isAlgClosed [IsAlgClosed k] : IsSepClosed k := ⟨fun p _ ↦ IsAlgClosed.splits p⟩ variable {k} {K} theorem IsSepClosed.splits_codomain [IsSepClosed K] {f : k →+* K} (p : k[X]) (h : p.Separable) : p.Splits f := by convert IsSepClosed.splits_of_separable (p.map f) (Separable.map h); simp [splits_map_iff] theorem IsSepClosed.splits_domain [IsSepClosed k] {f : k →+* K} (p : k[X]) (h : p.Separable) : p.Splits f := Polynomial.splits_of_splits_id _ <| IsSepClosed.splits_of_separable _ h namespace IsSepClosed theorem exists_root [IsSepClosed k] (p : k[X]) (hp : p.degree ≠ 0) (hsep : p.Separable) : ∃ x, IsRoot p x := exists_root_of_splits _ (IsSepClosed.splits_of_separable p hsep) hp variable (k) in instance (priority := 100) isAlgClosed_of_perfectField [IsSepClosed k] [PerfectField k] : IsAlgClosed k := IsAlgClosed.of_exists_root k fun p _ h ↦ exists_root p ((degree_pos_of_irreducible h).ne') (PerfectField.separable_of_irreducible h)
Mathlib/FieldTheory/IsSepClosed.lean
104
116
theorem exists_pow_nat_eq [IsSepClosed k] (x : k) (n : ℕ) [hn : NeZero (n : k)] : ∃ z, z ^ n = x := by
have hn' : 0 < n := Nat.pos_of_ne_zero fun h => by rw [h, Nat.cast_zero] at hn exact hn.out rfl have : degree (X ^ n - C x) ≠ 0 := by rw [degree_X_pow_sub_C hn' x] exact (WithBot.coe_lt_coe.2 hn').ne' by_cases hx : x = 0 · exact ⟨0, by rw [hx, pow_eq_zero_iff hn'.ne']⟩ · obtain ⟨z, hz⟩ := exists_root _ this <| separable_X_pow_sub_C x hn.out hx use z simpa [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def, sub_eq_zero] using hz
0
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Nat.Factorial.Cast #align_import data.nat.choose.cast from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496" open Nat variable (K : Type*) [DivisionRing K] [CharZero K] namespace Nat theorem cast_choose {a b : ℕ} (h : a ≤ b) : (b.choose a : K) = b ! / (a ! * (b - a)!) := by have : ∀ {n : ℕ}, (n ! : K) ≠ 0 := Nat.cast_ne_zero.2 (factorial_ne_zero _) rw [eq_div_iff_mul_eq (mul_ne_zero this this)] rw_mod_cast [← mul_assoc, choose_mul_factorial_mul_factorial h] #align nat.cast_choose Nat.cast_choose theorem cast_add_choose {a b : ℕ} : ((a + b).choose a : K) = (a + b)! / (a ! * b !) := by rw [cast_choose K (_root_.le_add_right le_rfl), add_tsub_cancel_left] #align nat.cast_add_choose Nat.cast_add_choose theorem cast_choose_eq_ascPochhammer_div (a b : ℕ) : (a.choose b : K) = (ascPochhammer K b).eval ↑(a - (b - 1)) / b ! := by rw [eq_div_iff_mul_eq (cast_ne_zero.2 b.factorial_ne_zero : (b ! : K) ≠ 0), ← cast_mul, mul_comm, ← descFactorial_eq_factorial_mul_choose, ← cast_descFactorial] #align nat.cast_choose_eq_pochhammer_div Nat.cast_choose_eq_ascPochhammer_div
Mathlib/Data/Nat/Choose/Cast.lean
41
43
theorem cast_choose_two (a : ℕ) : (a.choose 2 : K) = a * (a - 1) / 2 := by
rw [← cast_descFactorial_two, descFactorial_eq_factorial_mul_choose, factorial_two, mul_comm, cast_mul, cast_two, eq_div_iff_mul_eq (two_ne_zero : (2 : K) ≠ 0)]
0
import Mathlib.Algebra.Category.MonCat.Limits import Mathlib.CategoryTheory.Limits.Preserves.Filtered import Mathlib.CategoryTheory.ConcreteCategory.Elementwise import Mathlib.CategoryTheory.Limits.TypesFiltered #align_import algebra.category.Mon.filtered_colimits from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" set_option linter.uppercaseLean3 false universe v u noncomputable section open scoped Classical open CategoryTheory open CategoryTheory.Limits open CategoryTheory.IsFiltered renaming max → max' -- avoid name collision with `_root_.max`. namespace MonCat.FilteredColimits section -- Porting note: mathlib 3 used `parameters` here, mainly so we can have the abbreviations `M` and -- `M.mk` below, without passing around `F` all the time. variable {J : Type v} [SmallCategory J] (F : J ⥤ MonCatMax.{v, u}) @[to_additive "The colimit of `F ⋙ forget AddMon` in the category of types. In the following, we will construct an additive monoid structure on `M`."] abbrev M := Types.Quot (F ⋙ forget MonCat) #align Mon.filtered_colimits.M MonCat.FilteredColimits.M #align AddMon.filtered_colimits.M AddMonCat.FilteredColimits.M @[to_additive "The canonical projection into the colimit, as a quotient type."] noncomputable abbrev M.mk : (Σ j, F.obj j) → M.{v, u} F := Quot.mk _ #align Mon.filtered_colimits.M.mk MonCat.FilteredColimits.M.mk #align AddMon.filtered_colimits.M.mk AddMonCat.FilteredColimits.M.mk @[to_additive] theorem M.mk_eq (x y : Σ j, F.obj j) (h : ∃ (k : J) (f : x.1 ⟶ k) (g : y.1 ⟶ k), F.map f x.2 = F.map g y.2) : M.mk.{v, u} F x = M.mk F y := Quot.EqvGen_sound (Types.FilteredColimit.eqvGen_quot_rel_of_rel (F ⋙ forget MonCat) x y h) #align Mon.filtered_colimits.M.mk_eq MonCat.FilteredColimits.M.mk_eq #align AddMon.filtered_colimits.M.mk_eq AddMonCat.FilteredColimits.M.mk_eq variable [IsFiltered J] @[to_additive "As `J` is nonempty, we can pick an arbitrary object `j₀ : J`. We use this object to define the \"zero\" in the colimit as the equivalence class of `⟨j₀, 0 : F.obj j₀⟩`."] noncomputable instance colimitOne : One (M.{v, u} F) where one := M.mk F ⟨IsFiltered.nonempty.some,1⟩ #align Mon.filtered_colimits.colimit_has_one MonCat.FilteredColimits.colimitOne #align AddMon.filtered_colimits.colimit_has_zero AddMonCat.FilteredColimits.colimitZero @[to_additive "The definition of the \"zero\" in the colimit is independent of the chosen object of `J`. In particular, this lemma allows us to \"unfold\" the definition of `colimit_zero` at a custom chosen object `j`."] theorem colimit_one_eq (j : J) : (1 : M.{v, u} F) = M.mk F ⟨j, 1⟩ := by apply M.mk_eq refine ⟨max' _ j, IsFiltered.leftToMax _ j, IsFiltered.rightToMax _ j, ?_⟩ simp #align Mon.filtered_colimits.colimit_one_eq MonCat.FilteredColimits.colimit_one_eq #align AddMon.filtered_colimits.colimit_zero_eq AddMonCat.FilteredColimits.colimit_zero_eq @[to_additive "The \"unlifted\" version of addition in the colimit. To add two dependent pairs `⟨j₁, x⟩` and `⟨j₂, y⟩`, we pass to a common successor of `j₁` and `j₂` (given by `IsFiltered.max`) and add them there."] noncomputable def colimitMulAux (x y : Σ j, F.obj j) : M.{v, u} F := M.mk F ⟨IsFiltered.max x.fst y.fst, F.map (IsFiltered.leftToMax x.1 y.1) x.2 * F.map (IsFiltered.rightToMax x.1 y.1) y.2⟩ #align Mon.filtered_colimits.colimit_mul_aux MonCat.FilteredColimits.colimitMulAux #align AddMon.filtered_colimits.colimit_add_aux AddMonCat.FilteredColimits.colimitAddAux @[to_additive "Addition in the colimit is well-defined in the left argument."] theorem colimitMulAux_eq_of_rel_left {x x' y : Σ j, F.obj j} (hxx' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) x x') : colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x' y := by cases' x with j₁ x; cases' y with j₂ y; cases' x' with j₃ x' obtain ⟨l, f, g, hfg⟩ := hxx' simp? at hfg says simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ := IsFiltered.tulip (IsFiltered.leftToMax j₁ j₂) (IsFiltered.rightToMax j₁ j₂) (IsFiltered.rightToMax j₃ j₂) (IsFiltered.leftToMax j₃ j₂) f g apply M.mk_eq use s, α, γ dsimp simp_rw [MonoidHom.map_mul] -- Porting note: Lean cannot seem to use lemmas from concrete categories directly change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ = (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp] congr 1 change F.map _ (F.map _ _) = F.map _ (F.map _ _) rw [hfg] #align Mon.filtered_colimits.colimit_mul_aux_eq_of_rel_left MonCat.FilteredColimits.colimitMulAux_eq_of_rel_left #align AddMon.filtered_colimits.colimit_add_aux_eq_of_rel_left AddMonCat.FilteredColimits.colimitAddAux_eq_of_rel_left @[to_additive "Addition in the colimit is well-defined in the right argument."]
Mathlib/Algebra/Category/MonCat/FilteredColimits.lean
143
162
theorem colimitMulAux_eq_of_rel_right {x y y' : Σ j, F.obj j} (hyy' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) y y') : colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x y' := by
cases' y with j₁ y; cases' x with j₂ x; cases' y' with j₃ y' obtain ⟨l, f, g, hfg⟩ := hyy' simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ := IsFiltered.tulip (IsFiltered.rightToMax j₂ j₁) (IsFiltered.leftToMax j₂ j₁) (IsFiltered.leftToMax j₂ j₃) (IsFiltered.rightToMax j₂ j₃) f g apply M.mk_eq use s, α, γ dsimp simp_rw [MonoidHom.map_mul] -- Porting note: Lean cannot seem to use lemmas from concrete categories directly change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ = (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp] congr 1 change F.map _ (F.map _ _) = F.map _ (F.map _ _) rw [hfg]
0
import Mathlib.Algebra.Algebra.Subalgebra.Basic import Mathlib.Topology.Algebra.Module.Basic import Mathlib.RingTheory.Adjoin.Basic #align_import topology.algebra.algebra from "leanprover-community/mathlib"@"43afc5ad87891456c57b5a183e3e617d67c2b1db" open scoped Classical open Set TopologicalSpace Algebra open scoped Classical universe u v w section TopologicalAlgebra variable {R : Type*} [CommSemiring R] variable {A : Type u} [TopologicalSpace A] variable [Semiring A] [Algebra R A] #align subalgebra.has_continuous_smul SMulMemClass.continuousSMul variable [TopologicalSemiring A] def Subalgebra.topologicalClosure (s : Subalgebra R A) : Subalgebra R A := { s.toSubsemiring.topologicalClosure with carrier := closure (s : Set A) algebraMap_mem' := fun r => s.toSubsemiring.le_topologicalClosure (s.algebraMap_mem r) } #align subalgebra.topological_closure Subalgebra.topologicalClosure @[simp] theorem Subalgebra.topologicalClosure_coe (s : Subalgebra R A) : (s.topologicalClosure : Set A) = closure (s : Set A) := rfl #align subalgebra.topological_closure_coe Subalgebra.topologicalClosure_coe instance Subalgebra.topologicalSemiring (s : Subalgebra R A) : TopologicalSemiring s := s.toSubsemiring.topologicalSemiring #align subalgebra.topological_semiring Subalgebra.topologicalSemiring theorem Subalgebra.le_topologicalClosure (s : Subalgebra R A) : s ≤ s.topologicalClosure := subset_closure #align subalgebra.le_topological_closure Subalgebra.le_topologicalClosure theorem Subalgebra.isClosed_topologicalClosure (s : Subalgebra R A) : IsClosed (s.topologicalClosure : Set A) := by convert @isClosed_closure A s _ #align subalgebra.is_closed_topological_closure Subalgebra.isClosed_topologicalClosure theorem Subalgebra.topologicalClosure_minimal (s : Subalgebra R A) {t : Subalgebra R A} (h : s ≤ t) (ht : IsClosed (t : Set A)) : s.topologicalClosure ≤ t := closure_minimal h ht #align subalgebra.topological_closure_minimal Subalgebra.topologicalClosure_minimal def Subalgebra.commSemiringTopologicalClosure [T2Space A] (s : Subalgebra R A) (hs : ∀ x y : s, x * y = y * x) : CommSemiring s.topologicalClosure := { s.topologicalClosure.toSemiring, s.toSubmonoid.commMonoidTopologicalClosure hs with } #align subalgebra.comm_semiring_topological_closure Subalgebra.commSemiringTopologicalClosure
Mathlib/Topology/Algebra/Algebra.lean
130
137
theorem Subalgebra.topologicalClosure_comap_homeomorph (s : Subalgebra R A) {B : Type*} [TopologicalSpace B] [Ring B] [TopologicalRing B] [Algebra R B] (f : B →ₐ[R] A) (f' : B ≃ₜ A) (w : (f : B → A) = f') : s.topologicalClosure.comap f = (s.comap f).topologicalClosure := by
apply SetLike.ext' simp only [Subalgebra.topologicalClosure_coe] simp only [Subalgebra.coe_comap, Subsemiring.coe_comap, AlgHom.coe_toRingHom] rw [w] exact f'.preimage_closure _
0
import Mathlib.Tactic.CategoryTheory.Coherence import Mathlib.CategoryTheory.Bicategory.Coherence namespace CategoryTheory namespace Bicategory open Category open scoped Bicategory open Mathlib.Tactic.BicategoryCoherence (bicategoricalComp bicategoricalIsoComp) universe w v u variable {B : Type u} [Bicategory.{w, v} B] {a b c : B} {f : a ⟶ b} {g : b ⟶ a} def leftZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) := η ▷ f ⊗≫ f ◁ ε def rightZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) := g ◁ η ⊗≫ ε ▷ g theorem rightZigzag_idempotent_of_left_triangle (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) (h : leftZigzag η ε = (λ_ _).hom ≫ (ρ_ _).inv) : rightZigzag η ε ⊗≫ rightZigzag η ε = rightZigzag η ε := by dsimp only [rightZigzag] calc _ = g ◁ η ⊗≫ ((ε ▷ g ▷ 𝟙 a) ≫ (𝟙 b ≫ g) ◁ η) ⊗≫ ε ▷ g := by simp [bicategoricalComp]; coherence _ = 𝟙 _ ⊗≫ g ◁ (η ▷ 𝟙 a ≫ (f ≫ g) ◁ η) ⊗≫ (ε ▷ (g ≫ f) ≫ 𝟙 b ◁ ε) ▷ g ⊗≫ 𝟙 _ := by rw [← whisker_exchange]; simp [bicategoricalComp]; coherence _ = g ◁ η ⊗≫ g ◁ leftZigzag η ε ▷ g ⊗≫ ε ▷ g := by rw [← whisker_exchange, ← whisker_exchange]; simp [leftZigzag, bicategoricalComp]; coherence _ = g ◁ η ⊗≫ ε ▷ g := by rw [h]; simp [bicategoricalComp]; coherence structure Adjunction (f : a ⟶ b) (g : b ⟶ a) where unit : 𝟙 a ⟶ f ≫ g counit : g ≫ f ⟶ 𝟙 b left_triangle : leftZigzag unit counit = (λ_ _).hom ≫ (ρ_ _).inv := by aesop_cat right_triangle : rightZigzag unit counit = (ρ_ _).hom ≫ (λ_ _).inv := by aesop_cat @[inherit_doc] scoped infixr:15 " ⊣ " => Bicategory.Adjunction namespace Adjunction attribute [simp] left_triangle right_triangle attribute [local simp] leftZigzag rightZigzag def id (a : B) : 𝟙 a ⊣ 𝟙 a where unit := (ρ_ _).inv counit := (ρ_ _).hom left_triangle := by dsimp; coherence right_triangle := by dsimp; coherence instance : Inhabited (Adjunction (𝟙 a) (𝟙 a)) := ⟨id a⟩ noncomputable section variable (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) def leftZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) := whiskerRightIso η f ≪⊗≫ whiskerLeftIso f ε def rightZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) := whiskerLeftIso g η ≪⊗≫ whiskerRightIso ε g attribute [local simp] leftZigzagIso rightZigzagIso leftZigzag rightZigzag @[simp] theorem leftZigzagIso_hom : (leftZigzagIso η ε).hom = leftZigzag η.hom ε.hom := rfl @[simp] theorem rightZigzagIso_hom : (rightZigzagIso η ε).hom = rightZigzag η.hom ε.hom := rfl @[simp] theorem leftZigzagIso_inv : (leftZigzagIso η ε).inv = rightZigzag ε.inv η.inv := by simp [bicategoricalComp, bicategoricalIsoComp] @[simp] theorem rightZigzagIso_inv : (rightZigzagIso η ε).inv = leftZigzag ε.inv η.inv := by simp [bicategoricalComp, bicategoricalIsoComp] @[simp] theorem leftZigzagIso_symm : (leftZigzagIso η ε).symm = rightZigzagIso ε.symm η.symm := Iso.ext (leftZigzagIso_inv η ε) @[simp] theorem rightZigzagIso_symm : (rightZigzagIso η ε).symm = leftZigzagIso ε.symm η.symm := Iso.ext (rightZigzagIso_inv η ε) instance : IsIso (leftZigzag η.hom ε.hom) := inferInstanceAs <| IsIso (leftZigzagIso η ε).hom instance : IsIso (rightZigzag η.hom ε.hom) := inferInstanceAs <| IsIso (rightZigzagIso η ε).hom
Mathlib/CategoryTheory/Bicategory/Adjunction.lean
220
226
theorem right_triangle_of_left_triangle (h : leftZigzag η.hom ε.hom = (λ_ f).hom ≫ (ρ_ f).inv) : rightZigzag η.hom ε.hom = (ρ_ g).hom ≫ (λ_ g).inv := by
rw [← cancel_epi (rightZigzag η.hom ε.hom ≫ (λ_ g).hom ≫ (ρ_ g).inv)] calc _ = rightZigzag η.hom ε.hom ⊗≫ rightZigzag η.hom ε.hom := by coherence _ = rightZigzag η.hom ε.hom := rightZigzag_idempotent_of_left_triangle _ _ h _ = _ := by simp
0
import Mathlib.RingTheory.WittVector.Frobenius import Mathlib.RingTheory.WittVector.Verschiebung import Mathlib.RingTheory.WittVector.MulP #align_import ring_theory.witt_vector.identities from "leanprover-community/mathlib"@"0798037604b2d91748f9b43925fb7570a5f3256c" namespace WittVector variable {p : ℕ} {R : Type*} [hp : Fact p.Prime] [CommRing R] -- type as `\bbW` local notation "𝕎" => WittVector p noncomputable section -- Porting note: `ghost_calc` failure: `simp only []` and the manual instances had to be added. theorem frobenius_verschiebung (x : 𝕎 R) : frobenius (verschiebung x) = x * p := by have : IsPoly p fun {R} [CommRing R] x ↦ frobenius (verschiebung x) := IsPoly.comp (hg := frobenius_isPoly p) (hf := verschiebung_isPoly) have : IsPoly p fun {R} [CommRing R] x ↦ x * p := mulN_isPoly p p ghost_calc x ghost_simp [mul_comm] #align witt_vector.frobenius_verschiebung WittVector.frobenius_verschiebung theorem verschiebung_zmod (x : 𝕎 (ZMod p)) : verschiebung x = x * p := by rw [← frobenius_verschiebung, frobenius_zmodp] #align witt_vector.verschiebung_zmod WittVector.verschiebung_zmod variable (p R) theorem coeff_p_pow [CharP R p] (i : ℕ) : ((p : 𝕎 R) ^ i).coeff i = 1 := by induction' i with i h · simp only [Nat.zero_eq, one_coeff_zero, Ne, pow_zero] · rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP, verschiebung_coeff_succ, h, one_pow] #align witt_vector.coeff_p_pow WittVector.coeff_p_pow theorem coeff_p_pow_eq_zero [CharP R p] {i j : ℕ} (hj : j ≠ i) : ((p : 𝕎 R) ^ i).coeff j = 0 := by induction' i with i hi generalizing j · rw [pow_zero, one_coeff_eq_of_pos] exact Nat.pos_of_ne_zero hj · rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP] cases j · rw [verschiebung_coeff_zero, zero_pow hp.out.ne_zero] · rw [verschiebung_coeff_succ, hi (ne_of_apply_ne _ hj), zero_pow hp.out.ne_zero] #align witt_vector.coeff_p_pow_eq_zero WittVector.coeff_p_pow_eq_zero theorem coeff_p [CharP R p] (i : ℕ) : (p : 𝕎 R).coeff i = if i = 1 then 1 else 0 := by split_ifs with hi · simpa only [hi, pow_one] using coeff_p_pow p R 1 · simpa only [pow_one] using coeff_p_pow_eq_zero p R hi #align witt_vector.coeff_p WittVector.coeff_p @[simp] theorem coeff_p_zero [CharP R p] : (p : 𝕎 R).coeff 0 = 0 := by rw [coeff_p, if_neg] exact zero_ne_one #align witt_vector.coeff_p_zero WittVector.coeff_p_zero @[simp] theorem coeff_p_one [CharP R p] : (p : 𝕎 R).coeff 1 = 1 := by rw [coeff_p, if_pos rfl] #align witt_vector.coeff_p_one WittVector.coeff_p_one theorem p_nonzero [Nontrivial R] [CharP R p] : (p : 𝕎 R) ≠ 0 := by intro h simpa only [h, zero_coeff, zero_ne_one] using coeff_p_one p R #align witt_vector.p_nonzero WittVector.p_nonzero
Mathlib/RingTheory/WittVector/Identities.lean
95
96
theorem FractionRing.p_nonzero [Nontrivial R] [CharP R p] : (p : FractionRing (𝕎 R)) ≠ 0 := by
simpa using (IsFractionRing.injective (𝕎 R) (FractionRing (𝕎 R))).ne (WittVector.p_nonzero _ _)
0
import Mathlib.Data.Matrix.PEquiv import Mathlib.Data.Set.Card import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Trace open BigOperators Matrix Equiv variable {n R : Type*} [DecidableEq n] [Fintype n] (σ : Perm n) variable (R) in abbrev Equiv.Perm.permMatrix [Zero R] [One R] : Matrix n n R := σ.toPEquiv.toMatrix namespace Matrix @[simp] theorem det_permutation [CommRing R] : det (σ.permMatrix R) = Perm.sign σ := by rw [← Matrix.mul_one (σ.permMatrix R), PEquiv.toPEquiv_mul_matrix, det_permute, det_one, mul_one] #align matrix.det_permutation Matrix.det_permutation
Mathlib/LinearAlgebra/Matrix/Permutation.lean
47
50
theorem trace_permutation [AddCommMonoidWithOne R] : trace (σ.permMatrix R) = (Function.fixedPoints σ).ncard := by
delta trace simp [toPEquiv_apply, ← Set.ncard_coe_Finset, Function.fixedPoints, Function.IsFixedPt]
0
import Mathlib.Algebra.Polynomial.FieldDivision import Mathlib.FieldTheory.Minpoly.Basic import Mathlib.RingTheory.Algebraic #align_import field_theory.minpoly.field from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5" open scoped Classical open Polynomial Set Function minpoly namespace minpoly variable {A B : Type*} variable (A) [Field A] section Ring variable [Ring B] [Algebra A B] (x : B) theorem degree_le_of_ne_zero {p : A[X]} (pnz : p ≠ 0) (hp : Polynomial.aeval x p = 0) : degree (minpoly A x) ≤ degree p := calc degree (minpoly A x) ≤ degree (p * C (leadingCoeff p)⁻¹) := min A x (monic_mul_leadingCoeff_inv pnz) (by simp [hp]) _ = degree p := degree_mul_leadingCoeff_inv p pnz #align minpoly.degree_le_of_ne_zero minpoly.degree_le_of_ne_zero theorem ne_zero_of_finite (e : B) [FiniteDimensional A B] : minpoly A e ≠ 0 := minpoly.ne_zero <| .of_finite A _ #align minpoly.ne_zero_of_finite_field_extension minpoly.ne_zero_of_finite theorem unique {p : A[X]} (pmonic : p.Monic) (hp : Polynomial.aeval x p = 0) (pmin : ∀ q : A[X], q.Monic → Polynomial.aeval x q = 0 → degree p ≤ degree q) : p = minpoly A x := by have hx : IsIntegral A x := ⟨p, pmonic, hp⟩ symm; apply eq_of_sub_eq_zero by_contra hnz apply degree_le_of_ne_zero A x hnz (by simp [hp]) |>.not_lt apply degree_sub_lt _ (minpoly.ne_zero hx) · rw [(monic hx).leadingCoeff, pmonic.leadingCoeff] · exact le_antisymm (min A x pmonic hp) (pmin (minpoly A x) (monic hx) (aeval A x)) #align minpoly.unique minpoly.unique
Mathlib/FieldTheory/Minpoly/Field.lean
68
76
theorem dvd {p : A[X]} (hp : Polynomial.aeval x p = 0) : minpoly A x ∣ p := by
by_cases hp0 : p = 0 · simp only [hp0, dvd_zero] have hx : IsIntegral A x := IsAlgebraic.isIntegral ⟨p, hp0, hp⟩ rw [← modByMonic_eq_zero_iff_dvd (monic hx)] by_contra hnz apply degree_le_of_ne_zero A x hnz ((aeval_modByMonic_eq_self_of_root (monic hx) (aeval _ _)).trans hp) |>.not_lt exact degree_modByMonic_lt _ (monic hx)
0
import Mathlib.RingTheory.WittVector.Domain import Mathlib.RingTheory.WittVector.MulCoeff import Mathlib.RingTheory.DiscreteValuationRing.Basic import Mathlib.Tactic.LinearCombination #align_import ring_theory.witt_vector.discrete_valuation_ring from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68" noncomputable section namespace WittVector variable {p : ℕ} [hp : Fact p.Prime] local notation "𝕎" => WittVector p section PerfectRing variable {k : Type*} [CommRing k] [CharP k p] [PerfectRing k p]
Mathlib/RingTheory/WittVector/DiscreteValuationRing.lean
121
135
theorem exists_eq_pow_p_mul (a : 𝕎 k) (ha : a ≠ 0) : ∃ (m : ℕ) (b : 𝕎 k), b.coeff 0 ≠ 0 ∧ a = (p : 𝕎 k) ^ m * b := by
obtain ⟨m, c, hc, hcm⟩ := WittVector.verschiebung_nonzero ha obtain ⟨b, rfl⟩ := (frobenius_bijective p k).surjective.iterate m c rw [WittVector.iterate_frobenius_coeff] at hc have := congr_fun (WittVector.verschiebung_frobenius_comm.comp_iterate m) b simp only [Function.comp_apply] at this rw [← this] at hcm refine ⟨m, b, ?_, ?_⟩ · contrapose! hc simp [hc, zero_pow $ pow_ne_zero _ hp.out.ne_zero] · simp_rw [← mul_left_iterate (p : 𝕎 k) m] convert hcm using 2 ext1 x rw [mul_comm, ← WittVector.verschiebung_frobenius x]; rfl
0
import Mathlib.Geometry.Euclidean.Sphere.Power import Mathlib.Geometry.Euclidean.Triangle #align_import geometry.euclidean.sphere.ptolemy from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" open Real open scoped EuclideanGeometry RealInnerProductSpace Real namespace EuclideanGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable {P : Type*} [MetricSpace P] [NormedAddTorsor V P]
Mathlib/Geometry/Euclidean/Sphere/Ptolemy.lean
53
70
theorem mul_dist_add_mul_dist_eq_mul_dist_of_cospherical {a b c d p : P} (h : Cospherical ({a, b, c, d} : Set P)) (hapc : ∠ a p c = π) (hbpd : ∠ b p d = π) : dist a b * dist c d + dist b c * dist d a = dist a c * dist b d := by
have h' : Cospherical ({a, c, b, d} : Set P) := by rwa [Set.insert_comm c b {d}] have hmul := mul_dist_eq_mul_dist_of_cospherical_of_angle_eq_pi h' hapc hbpd have hbp := left_dist_ne_zero_of_angle_eq_pi hbpd have h₁ : dist c d = dist c p / dist b p * dist a b := by rw [dist_mul_of_eq_angle_of_dist_mul b p a c p d, dist_comm a b] · rw [angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi hbpd hapc, angle_comm] all_goals field_simp [mul_comm, hmul] have h₂ : dist d a = dist a p / dist b p * dist b c := by rw [dist_mul_of_eq_angle_of_dist_mul c p b d p a, dist_comm c b] · rwa [angle_comm, angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi]; rwa [angle_comm] all_goals field_simp [mul_comm, hmul] have h₃ : dist d p = dist a p * dist c p / dist b p := by field_simp [mul_comm, hmul] have h₄ : ∀ x y : ℝ, x * (y * x) = x * x * y := fun x y => by rw [mul_left_comm, mul_comm] field_simp [h₁, h₂, dist_eq_add_dist_of_angle_eq_pi hbpd, h₃, hbp, dist_comm a b, h₄, ← sq, dist_sq_mul_dist_add_dist_sq_mul_dist b, hapc]
0
import Mathlib.Algebra.MvPolynomial.CommRing import Mathlib.LinearAlgebra.Dimension.StrongRankCondition import Mathlib.RingTheory.MvPolynomial.Basic #align_import field_theory.mv_polynomial from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" noncomputable section open scoped Classical open Set LinearMap Submodule namespace MvPolynomial universe u variable {σ : Type u} {K : Type u} [Field K] open scoped Classical
Mathlib/FieldTheory/MvPolynomial.lean
54
55
theorem rank_mvPolynomial : Module.rank K (MvPolynomial σ K) = Cardinal.mk (σ →₀ ℕ) := by
rw [← Cardinal.lift_inj, ← (basisMonomials σ K).mk_eq_rank]
0
import Mathlib.RingTheory.RootsOfUnity.Basic import Mathlib.RingTheory.AdjoinRoot import Mathlib.FieldTheory.Galois import Mathlib.LinearAlgebra.Eigenspace.Minpoly import Mathlib.RingTheory.Norm universe u variable {K : Type u} [Field K] open Polynomial IntermediateField AdjoinRoot section Splits lemma root_X_pow_sub_C_pow (n : ℕ) (a : K) : (AdjoinRoot.root (X ^ n - C a)) ^ n = AdjoinRoot.of _ a := by rw [← sub_eq_zero, ← AdjoinRoot.eval₂_root, eval₂_sub, eval₂_C, eval₂_pow, eval₂_X] lemma root_X_pow_sub_C_ne_zero {n : ℕ} (hn : 1 < n) (a : K) : (AdjoinRoot.root (X ^ n - C a)) ≠ 0 := mk_ne_zero_of_natDegree_lt (monic_X_pow_sub_C _ (Nat.not_eq_zero_of_lt hn)) X_ne_zero <| by rwa [natDegree_X_pow_sub_C, natDegree_X] lemma root_X_pow_sub_C_ne_zero' {n : ℕ} {a : K} (hn : 0 < n) (ha : a ≠ 0) : (AdjoinRoot.root (X ^ n - C a)) ≠ 0 := by obtain (rfl|hn) := (Nat.succ_le_iff.mpr hn).eq_or_lt · rw [← Nat.one_eq_succ_zero, pow_one] intro e refine mk_ne_zero_of_natDegree_lt (monic_X_sub_C a) (C_ne_zero.mpr ha) (by simp) ?_ trans AdjoinRoot.mk (X - C a) (X - (X - C a)) · rw [sub_sub_cancel] · rw [map_sub, mk_self, sub_zero, mk_X, e] · exact root_X_pow_sub_C_ne_zero hn a theorem X_pow_sub_C_splits_of_isPrimitiveRoot {n : ℕ} {ζ : K} (hζ : IsPrimitiveRoot ζ n) {α a : K} (e : α ^ n = a) : (X ^ n - C a).Splits (RingHom.id _) := by cases n.eq_zero_or_pos with | inl hn => rw [hn, pow_zero, ← C.map_one, ← map_sub] exact splits_C _ _ | inr hn => rw [splits_iff_card_roots, ← nthRoots, hζ.card_nthRoots, natDegree_X_pow_sub_C, if_pos ⟨α, e⟩] open BigOperators -- make this private, as we only use it to prove a strictly more general version private
Mathlib/FieldTheory/KummerExtension.lean
88
93
theorem X_pow_sub_C_eq_prod' {n : ℕ} {ζ : K} (hζ : IsPrimitiveRoot ζ n) {α a : K} (hn : 0 < n) (e : α ^ n = a) : (X ^ n - C a) = ∏ i ∈ Finset.range n, (X - C (ζ ^ i * α)) := by
rw [eq_prod_roots_of_monic_of_splits_id (monic_X_pow_sub_C _ (Nat.pos_iff_ne_zero.mp hn)) (X_pow_sub_C_splits_of_isPrimitiveRoot hζ e), ← nthRoots, hζ.nthRoots_eq e, Multiset.map_map] rfl
0
import Mathlib.Probability.ConditionalProbability import Mathlib.MeasureTheory.Measure.Count #align_import probability.cond_count from "leanprover-community/mathlib"@"117e93f82b5f959f8193857370109935291f0cc4" noncomputable section open ProbabilityTheory open MeasureTheory MeasurableSpace namespace ProbabilityTheory variable {Ω : Type*} [MeasurableSpace Ω] def condCount (s : Set Ω) : Measure Ω := Measure.count[|s] #align probability_theory.cond_count ProbabilityTheory.condCount @[simp] theorem condCount_empty_meas : (condCount ∅ : Measure Ω) = 0 := by simp [condCount] #align probability_theory.cond_count_empty_meas ProbabilityTheory.condCount_empty_meas theorem condCount_empty {s : Set Ω} : condCount s ∅ = 0 := by simp #align probability_theory.cond_count_empty ProbabilityTheory.condCount_empty theorem finite_of_condCount_ne_zero {s t : Set Ω} (h : condCount s t ≠ 0) : s.Finite := by by_contra hs' simp [condCount, cond, Measure.count_apply_infinite hs'] at h #align probability_theory.finite_of_cond_count_ne_zero ProbabilityTheory.finite_of_condCount_ne_zero
Mathlib/Probability/CondCount.lean
70
76
theorem condCount_univ [Fintype Ω] {s : Set Ω} : condCount Set.univ s = Measure.count s / Fintype.card Ω := by
rw [condCount, cond_apply _ MeasurableSet.univ, ← ENNReal.div_eq_inv_mul, Set.univ_inter] congr rw [← Finset.coe_univ, Measure.count_apply, Finset.univ.tsum_subtype' fun _ => (1 : ENNReal)] · simp [Finset.card_univ] · exact (@Finset.coe_univ Ω _).symm ▸ MeasurableSet.univ
0
import Mathlib.Analysis.NormedSpace.Banach import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Topology.PartialHomeomorph #align_import analysis.calculus.inverse from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open Function Set Filter Metric open scoped Topology Classical NNReal noncomputable section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {ε : ℝ} open Filter Metric Set open ContinuousLinearMap (id) def ApproximatesLinearOn (f : E → F) (f' : E →L[𝕜] F) (s : Set E) (c : ℝ≥0) : Prop := ∀ x ∈ s, ∀ y ∈ s, ‖f x - f y - f' (x - y)‖ ≤ c * ‖x - y‖ #align approximates_linear_on ApproximatesLinearOn @[simp] theorem approximatesLinearOn_empty (f : E → F) (f' : E →L[𝕜] F) (c : ℝ≥0) : ApproximatesLinearOn f f' ∅ c := by simp [ApproximatesLinearOn] #align approximates_linear_on_empty approximatesLinearOn_empty namespace ApproximatesLinearOn variable [CompleteSpace E] {f : E → F} section variable {f' : E →L[𝕜] F} {s t : Set E} {c c' : ℝ≥0} theorem mono_num (hc : c ≤ c') (hf : ApproximatesLinearOn f f' s c) : ApproximatesLinearOn f f' s c' := fun x hx y hy => le_trans (hf x hx y hy) (mul_le_mul_of_nonneg_right hc <| norm_nonneg _) #align approximates_linear_on.mono_num ApproximatesLinearOn.mono_num theorem mono_set (hst : s ⊆ t) (hf : ApproximatesLinearOn f f' t c) : ApproximatesLinearOn f f' s c := fun x hx y hy => hf x (hst hx) y (hst hy) #align approximates_linear_on.mono_set ApproximatesLinearOn.mono_set theorem approximatesLinearOn_iff_lipschitzOnWith {f : E → F} {f' : E →L[𝕜] F} {s : Set E} {c : ℝ≥0} : ApproximatesLinearOn f f' s c ↔ LipschitzOnWith c (f - ⇑f') s := by have : ∀ x y, f x - f y - f' (x - y) = (f - f') x - (f - f') y := fun x y ↦ by simp only [map_sub, Pi.sub_apply]; abel simp only [this, lipschitzOnWith_iff_norm_sub_le, ApproximatesLinearOn] #align approximates_linear_on.approximates_linear_on_iff_lipschitz_on_with ApproximatesLinearOn.approximatesLinearOn_iff_lipschitzOnWith alias ⟨lipschitzOnWith, _root_.LipschitzOnWith.approximatesLinearOn⟩ := approximatesLinearOn_iff_lipschitzOnWith #align approximates_linear_on.lipschitz_on_with ApproximatesLinearOn.lipschitzOnWith #align lipschitz_on_with.approximates_linear_on LipschitzOnWith.approximatesLinearOn theorem lipschitz_sub (hf : ApproximatesLinearOn f f' s c) : LipschitzWith c fun x : s => f x - f' x := hf.lipschitzOnWith.to_restrict #align approximates_linear_on.lipschitz_sub ApproximatesLinearOn.lipschitz_sub protected theorem lipschitz (hf : ApproximatesLinearOn f f' s c) : LipschitzWith (‖f'‖₊ + c) (s.restrict f) := by simpa only [restrict_apply, add_sub_cancel] using (f'.lipschitz.restrict s).add hf.lipschitz_sub #align approximates_linear_on.lipschitz ApproximatesLinearOn.lipschitz protected theorem continuous (hf : ApproximatesLinearOn f f' s c) : Continuous (s.restrict f) := hf.lipschitz.continuous #align approximates_linear_on.continuous ApproximatesLinearOn.continuous protected theorem continuousOn (hf : ApproximatesLinearOn f f' s c) : ContinuousOn f s := continuousOn_iff_continuous_restrict.2 hf.continuous #align approximates_linear_on.continuous_on ApproximatesLinearOn.continuousOn end section LocallyOnto variable {s : Set E} {c : ℝ≥0} {f' : E →L[𝕜] F}
Mathlib/Analysis/Calculus/InverseFunctionTheorem/ApproximatesLinearOn.lean
148
280
theorem surjOn_closedBall_of_nonlinearRightInverse (hf : ApproximatesLinearOn f f' s c) (f'symm : f'.NonlinearRightInverse) {ε : ℝ} {b : E} (ε0 : 0 ≤ ε) (hε : closedBall b ε ⊆ s) : SurjOn f (closedBall b ε) (closedBall (f b) (((f'symm.nnnorm : ℝ)⁻¹ - c) * ε)) := by
intro y hy rcases le_or_lt (f'symm.nnnorm : ℝ)⁻¹ c with hc | hc · refine ⟨b, by simp [ε0], ?_⟩ have : dist y (f b) ≤ 0 := (mem_closedBall.1 hy).trans (mul_nonpos_of_nonpos_of_nonneg (by linarith) ε0) simp only [dist_le_zero] at this rw [this] have If' : (0 : ℝ) < f'symm.nnnorm := by rw [← inv_pos]; exact (NNReal.coe_nonneg _).trans_lt hc have Icf' : (c : ℝ) * f'symm.nnnorm < 1 := by rwa [inv_eq_one_div, lt_div_iff If'] at hc have Jf' : (f'symm.nnnorm : ℝ) ≠ 0 := ne_of_gt If' have Jcf' : (1 : ℝ) - c * f'symm.nnnorm ≠ 0 := by apply ne_of_gt; linarith /- We have to show that `y` can be written as `f x` for some `x ∈ closedBall b ε`. The idea of the proof is to apply the Banach contraction principle to the map `g : x ↦ x + f'symm (y - f x)`, as a fixed point of this map satisfies `f x = y`. When `f'symm` is a genuine linear inverse, `g` is a contracting map. In our case, since `f'symm` is nonlinear, this map is not contracting (it is not even continuous), but still the proof of the contraction theorem holds: `uₙ = gⁿ b` is a Cauchy sequence, converging exponentially fast to the desired point `x`. Instead of appealing to general results, we check this by hand. The main point is that `f (u n)` becomes exponentially close to `y`, and therefore `dist (u (n+1)) (u n)` becomes exponentally small, making it possible to get an inductive bound on `dist (u n) b`, from which one checks that `u n` stays in the ball on which one has a control. Therefore, the bound can be checked at the next step, and so on inductively. -/ set g := fun x => x + f'symm (y - f x) with hg set u := fun n : ℕ => g^[n] b with hu have usucc : ∀ n, u (n + 1) = g (u n) := by simp [hu, ← iterate_succ_apply' g _ b] -- First bound: if `f z` is close to `y`, then `g z` is close to `z` (i.e., almost a fixed point). have A : ∀ z, dist (g z) z ≤ f'symm.nnnorm * dist (f z) y := by intro z rw [dist_eq_norm, hg, add_sub_cancel_left, dist_eq_norm'] exact f'symm.bound _ -- Second bound: if `z` and `g z` are in the set with good control, then `f (g z)` becomes closer -- to `y` than `f z` was (this uses the linear approximation property, and is the reason for the -- choice of the formula for `g`). have B : ∀ z ∈ closedBall b ε, g z ∈ closedBall b ε → dist (f (g z)) y ≤ c * f'symm.nnnorm * dist (f z) y := by intro z hz hgz set v := f'symm (y - f z) calc dist (f (g z)) y = ‖f (z + v) - y‖ := by rw [dist_eq_norm] _ = ‖f (z + v) - f z - f' v + f' v - (y - f z)‖ := by congr 1; abel _ = ‖f (z + v) - f z - f' (z + v - z)‖ := by simp only [v, ContinuousLinearMap.NonlinearRightInverse.right_inv, add_sub_cancel_left, sub_add_cancel] _ ≤ c * ‖z + v - z‖ := hf _ (hε hgz) _ (hε hz) _ ≤ c * (f'symm.nnnorm * dist (f z) y) := by gcongr simpa [dist_eq_norm'] using f'symm.bound (y - f z) _ = c * f'symm.nnnorm * dist (f z) y := by ring -- Third bound: a complicated bound on `dist w b` (that will show up in the induction) is enough -- to check that `w` is in the ball on which one has controls. Will be used to check that `u n` -- belongs to this ball for all `n`. have C : ∀ (n : ℕ) (w : E), dist w b ≤ f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) / (1 - c * f'symm.nnnorm) * dist (f b) y → w ∈ closedBall b ε := fun n w hw ↦ by apply hw.trans rw [div_mul_eq_mul_div, div_le_iff]; swap; · linarith calc (f'symm.nnnorm : ℝ) * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) * dist (f b) y = f'symm.nnnorm * dist (f b) y * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) := by ring _ ≤ f'symm.nnnorm * dist (f b) y * 1 := by gcongr rw [sub_le_self_iff] positivity _ ≤ f'symm.nnnorm * (((f'symm.nnnorm : ℝ)⁻¹ - c) * ε) := by rw [mul_one] gcongr exact mem_closedBall'.1 hy _ = ε * (1 - c * f'symm.nnnorm) := by field_simp; ring /- Main inductive control: `f (u n)` becomes exponentially close to `y`, and therefore `dist (u (n+1)) (u n)` becomes exponentally small, making it possible to get an inductive bound on `dist (u n) b`, from which one checks that `u n` remains in the ball on which we have estimates. -/ have D : ∀ n : ℕ, dist (f (u n)) y ≤ ((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y ∧ dist (u n) b ≤ f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) / (1 - (c : ℝ) * f'symm.nnnorm) * dist (f b) y := fun n ↦ by induction' n with n IH; · simp [hu, le_refl] rw [usucc] have Ign : dist (g (u n)) b ≤ f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n.succ) / (1 - c * f'symm.nnnorm) * dist (f b) y := calc dist (g (u n)) b ≤ dist (g (u n)) (u n) + dist (u n) b := dist_triangle _ _ _ _ ≤ f'symm.nnnorm * dist (f (u n)) y + dist (u n) b := add_le_add (A _) le_rfl _ ≤ f'symm.nnnorm * (((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y) + f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) / (1 - c * f'symm.nnnorm) * dist (f b) y := by gcongr · exact IH.1 · exact IH.2 _ = f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n.succ) / (1 - (c : ℝ) * f'symm.nnnorm) * dist (f b) y := by field_simp [Jcf', pow_succ]; ring refine ⟨?_, Ign⟩ calc dist (f (g (u n))) y ≤ c * f'symm.nnnorm * dist (f (u n)) y := B _ (C n _ IH.2) (C n.succ _ Ign) _ ≤ (c : ℝ) * f'symm.nnnorm * (((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y) := by gcongr apply IH.1 _ = ((c : ℝ) * f'symm.nnnorm) ^ n.succ * dist (f b) y := by simp only [pow_succ']; ring -- Deduce from the inductive bound that `uₙ` is a Cauchy sequence, therefore converging. have : CauchySeq u := by refine cauchySeq_of_le_geometric _ (↑f'symm.nnnorm * dist (f b) y) Icf' fun n ↦ ?_ calc dist (u n) (u (n + 1)) = dist (g (u n)) (u n) := by rw [usucc, dist_comm] _ ≤ f'symm.nnnorm * dist (f (u n)) y := A _ _ ≤ f'symm.nnnorm * (((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y) := by gcongr exact (D n).1 _ = f'symm.nnnorm * dist (f b) y * ((c : ℝ) * f'symm.nnnorm) ^ n := by ring obtain ⟨x, hx⟩ : ∃ x, Tendsto u atTop (𝓝 x) := cauchySeq_tendsto_of_complete this -- As all the `uₙ` belong to the ball `closedBall b ε`, so does their limit `x`. have xmem : x ∈ closedBall b ε := isClosed_ball.mem_of_tendsto hx (eventually_of_forall fun n => C n _ (D n).2) refine ⟨x, xmem, ?_⟩ -- It remains to check that `f x = y`. This follows from continuity of `f` on `closedBall b ε` -- and from the fact that `f uₙ` is converging to `y` by construction. have hx' : Tendsto u atTop (𝓝[closedBall b ε] x) := by simp only [nhdsWithin, tendsto_inf, hx, true_and_iff, ge_iff_le, tendsto_principal] exact eventually_of_forall fun n => C n _ (D n).2 have T1 : Tendsto (f ∘ u) atTop (𝓝 (f x)) := (hf.continuousOn.mono hε x xmem).tendsto.comp hx' have T2 : Tendsto (f ∘ u) atTop (𝓝 y) := by rw [tendsto_iff_dist_tendsto_zero] refine squeeze_zero (fun _ => dist_nonneg) (fun n => (D n).1) ?_ simpa using (tendsto_pow_atTop_nhds_zero_of_lt_one (by positivity) Icf').mul tendsto_const_nhds exact tendsto_nhds_unique T1 T2
0
import Mathlib.MeasureTheory.Integral.IntervalIntegral #align_import measure_theory.integral.layercake from "leanprover-community/mathlib"@"08a4542bec7242a5c60f179e4e49de8c0d677b1b" noncomputable section open scoped ENNReal MeasureTheory Topology open Set MeasureTheory Filter Measure namespace MeasureTheory section variable {α R : Type*} [MeasurableSpace α] (μ : Measure α) [LinearOrder R] theorem countable_meas_le_ne_meas_lt (g : α → R) : {t : R | μ {a : α | t ≤ g a} ≠ μ {a : α | t < g a}}.Countable := by -- the target set is contained in the set of points where the function `t ↦ μ {a : α | t ≤ g a}` -- jumps down on the right of `t`. This jump set is countable for any function. let F : R → ℝ≥0∞ := fun t ↦ μ {a : α | t ≤ g a} apply (countable_image_gt_image_Ioi F).mono intro t ht have : μ {a | t < g a} < μ {a | t ≤ g a} := lt_of_le_of_ne (measure_mono (fun a ha ↦ le_of_lt ha)) (Ne.symm ht) exact ⟨μ {a | t < g a}, this, fun s hs ↦ measure_mono (fun a ha ↦ hs.trans_le ha)⟩ theorem meas_le_ae_eq_meas_lt {R : Type*} [LinearOrder R] [MeasurableSpace R] (ν : Measure R) [NoAtoms ν] (g : α → R) : (fun t => μ {a : α | t ≤ g a}) =ᵐ[ν] fun t => μ {a : α | t < g a} := Set.Countable.measure_zero (countable_meas_le_ne_meas_lt μ g) _ end section Layercake variable {α : Type*} [MeasurableSpace α] {f : α → ℝ} {g : ℝ → ℝ} {s : Set α}
Mathlib/MeasureTheory/Integral/Layercake.lean
105
183
theorem lintegral_comp_eq_lintegral_meas_le_mul_of_measurable_of_sigmaFinite (μ : Measure α) [SigmaFinite μ] (f_nn : 0 ≤ f) (f_mble : Measurable f) (g_intble : ∀ t > 0, IntervalIntegrable g volume 0 t) (g_mble : Measurable g) (g_nn : ∀ t > 0, 0 ≤ g t) : ∫⁻ ω, ENNReal.ofReal (∫ t in (0)..f ω, g t) ∂μ = ∫⁻ t in Ioi 0, μ {a : α | t ≤ f a} * ENNReal.ofReal (g t) := by
have g_intble' : ∀ t : ℝ, 0 ≤ t → IntervalIntegrable g volume 0 t := by intro t ht cases' eq_or_lt_of_le ht with h h · simp [← h] · exact g_intble t h have integrand_eq : ∀ ω, ENNReal.ofReal (∫ t in (0)..f ω, g t) = ∫⁻ t in Ioc 0 (f ω), ENNReal.ofReal (g t) := by intro ω have g_ae_nn : 0 ≤ᵐ[volume.restrict (Ioc 0 (f ω))] g := by filter_upwards [self_mem_ae_restrict (measurableSet_Ioc : MeasurableSet (Ioc 0 (f ω)))] with x hx using g_nn x hx.1 rw [← ofReal_integral_eq_lintegral_ofReal (g_intble' (f ω) (f_nn ω)).1 g_ae_nn] congr exact intervalIntegral.integral_of_le (f_nn ω) rw [lintegral_congr integrand_eq] simp_rw [← lintegral_indicator (fun t => ENNReal.ofReal (g t)) measurableSet_Ioc] -- Porting note: was part of `simp_rw` on the previous line, but didn't trigger. rw [← lintegral_indicator _ measurableSet_Ioi, lintegral_lintegral_swap] · apply congr_arg funext s have aux₁ : (fun x => (Ioc 0 (f x)).indicator (fun t : ℝ => ENNReal.ofReal (g t)) s) = fun x => ENNReal.ofReal (g s) * (Ioi (0 : ℝ)).indicator (fun _ => 1) s * (Ici s).indicator (fun _ : ℝ => (1 : ℝ≥0∞)) (f x) := by funext a by_cases h : s ∈ Ioc (0 : ℝ) (f a) · simp only [h, show s ∈ Ioi (0 : ℝ) from h.1, show f a ∈ Ici s from h.2, indicator_of_mem, mul_one] · have h_copy := h simp only [mem_Ioc, not_and, not_le] at h by_cases h' : 0 < s · simp only [h_copy, h h', indicator_of_not_mem, not_false_iff, mem_Ici, not_le, mul_zero] · have : s ∉ Ioi (0 : ℝ) := h' simp only [this, h', indicator_of_not_mem, not_false_iff, mul_zero, zero_mul, mem_Ioc, false_and_iff] simp_rw [aux₁] rw [lintegral_const_mul'] swap; · apply ENNReal.mul_ne_top ENNReal.ofReal_ne_top by_cases h : (0 : ℝ) < s <;> · simp [h] simp_rw [show (fun a => (Ici s).indicator (fun _ : ℝ => (1 : ℝ≥0∞)) (f a)) = fun a => {a : α | s ≤ f a}.indicator (fun _ => 1) a by funext a; by_cases h : s ≤ f a <;> simp [h]] rw [lintegral_indicator₀] swap; · exact f_mble.nullMeasurable measurableSet_Ici rw [lintegral_one, Measure.restrict_apply MeasurableSet.univ, univ_inter, indicator_mul_left, mul_assoc, show (Ioi 0).indicator (fun _x : ℝ => (1 : ℝ≥0∞)) s * μ {a : α | s ≤ f a} = (Ioi 0).indicator (fun _x : ℝ => 1 * μ {a : α | s ≤ f a}) s by by_cases h : 0 < s <;> simp [h]] simp_rw [mul_comm _ (ENNReal.ofReal _), one_mul] rfl have aux₂ : (Function.uncurry fun (x : α) (y : ℝ) => (Ioc 0 (f x)).indicator (fun t : ℝ => ENNReal.ofReal (g t)) y) = {p : α × ℝ | p.2 ∈ Ioc 0 (f p.1)}.indicator fun p => ENNReal.ofReal (g p.2) := by funext p cases p with | mk p_fst p_snd => ?_ rw [Function.uncurry_apply_pair] by_cases h : p_snd ∈ Ioc 0 (f p_fst) · have h' : (p_fst, p_snd) ∈ {p : α × ℝ | p.snd ∈ Ioc 0 (f p.fst)} := h rw [Set.indicator_of_mem h', Set.indicator_of_mem h] · have h' : (p_fst, p_snd) ∉ {p : α × ℝ | p.snd ∈ Ioc 0 (f p.fst)} := h rw [Set.indicator_of_not_mem h', Set.indicator_of_not_mem h] rw [aux₂] have mble₀ : MeasurableSet {p : α × ℝ | p.snd ∈ Ioc 0 (f p.fst)} := by simpa only [mem_univ, Pi.zero_apply, gt_iff_lt, not_lt, ge_iff_le, true_and] using measurableSet_region_between_oc measurable_zero f_mble MeasurableSet.univ exact (ENNReal.measurable_ofReal.comp (g_mble.comp measurable_snd)).aemeasurable.indicator₀ mble₀.nullMeasurableSet
0
import Mathlib.Data.Nat.Squarefree import Mathlib.NumberTheory.Zsqrtd.QuadraticReciprocity import Mathlib.Tactic.LinearCombination #align_import number_theory.sum_two_squares from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" section NegOneSquare -- This could be formulated for a general integer `a` in place of `-1`, -- but it would not directly specialize to `-1`, -- because `((-1 : ℤ) : ZMod n)` is not the same as `(-1 : ZMod n)`. theorem ZMod.isSquare_neg_one_of_dvd {m n : ℕ} (hd : m ∣ n) (hs : IsSquare (-1 : ZMod n)) : IsSquare (-1 : ZMod m) := by let f : ZMod n →+* ZMod m := ZMod.castHom hd _ rw [← RingHom.map_one f, ← RingHom.map_neg] exact hs.map f #align zmod.is_square_neg_one_of_dvd ZMod.isSquare_neg_one_of_dvd theorem ZMod.isSquare_neg_one_mul {m n : ℕ} (hc : m.Coprime n) (hm : IsSquare (-1 : ZMod m)) (hn : IsSquare (-1 : ZMod n)) : IsSquare (-1 : ZMod (m * n)) := by have : IsSquare (-1 : ZMod m × ZMod n) := by rw [show (-1 : ZMod m × ZMod n) = ((-1 : ZMod m), (-1 : ZMod n)) from rfl] obtain ⟨x, hx⟩ := hm obtain ⟨y, hy⟩ := hn rw [hx, hy] exact ⟨(x, y), rfl⟩ simpa only [RingEquiv.map_neg_one] using this.map (ZMod.chineseRemainder hc).symm #align zmod.is_square_neg_one_mul ZMod.isSquare_neg_one_mul theorem Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one {p n : ℕ} (hpp : p.Prime) (hp : p ∣ n) (hs : IsSquare (-1 : ZMod n)) : p % 4 ≠ 3 := by obtain ⟨y, h⟩ := ZMod.isSquare_neg_one_of_dvd hp hs rw [← sq, eq_comm, show (-1 : ZMod p) = -1 ^ 2 by ring] at h haveI : Fact p.Prime := ⟨hpp⟩ exact ZMod.mod_four_ne_three_of_sq_eq_neg_sq' one_ne_zero h #align nat.prime.mod_four_ne_three_of_dvd_is_square_neg_one Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one theorem ZMod.isSquare_neg_one_iff {n : ℕ} (hn : Squarefree n) : IsSquare (-1 : ZMod n) ↔ ∀ {q : ℕ}, q.Prime → q ∣ n → q % 4 ≠ 3 := by refine ⟨fun H q hqp hqd => hqp.mod_four_ne_three_of_dvd_isSquare_neg_one hqd H, fun H => ?_⟩ induction' n using induction_on_primes with p n hpp ih · exact False.elim (hn.ne_zero rfl) · exact ⟨0, by simp only [mul_zero, eq_iff_true_of_subsingleton]⟩ · haveI : Fact p.Prime := ⟨hpp⟩ have hcp : p.Coprime n := by by_contra hc exact hpp.not_unit (hn p <| mul_dvd_mul_left p <| hpp.dvd_iff_not_coprime.mpr hc) have hp₁ := ZMod.exists_sq_eq_neg_one_iff.mpr (H hpp (dvd_mul_right p n)) exact ZMod.isSquare_neg_one_mul hcp hp₁ (ih hn.of_mul_right fun hqp hqd => H hqp <| dvd_mul_of_dvd_right hqd _) #align zmod.is_square_neg_one_iff ZMod.isSquare_neg_one_iff
Mathlib/NumberTheory/SumTwoSquares.lean
125
138
theorem ZMod.isSquare_neg_one_iff' {n : ℕ} (hn : Squarefree n) : IsSquare (-1 : ZMod n) ↔ ∀ {q : ℕ}, q ∣ n → q % 4 ≠ 3 := by
have help : ∀ a b : ZMod 4, a ≠ 3 → b ≠ 3 → a * b ≠ 3 := by decide rw [ZMod.isSquare_neg_one_iff hn] refine ⟨?_, fun H q _ => H⟩ intro H refine @induction_on_primes _ ?_ ?_ (fun p q hp hq hpq => ?_) · exact fun _ => by norm_num · exact fun _ => by norm_num · replace hp := H hp (dvd_of_mul_right_dvd hpq) replace hq := hq (dvd_of_mul_left_dvd hpq) rw [show 3 = 3 % 4 by norm_num, Ne, ← ZMod.natCast_eq_natCast_iff'] at hp hq ⊢ rw [Nat.cast_mul] exact help p q hp hq
0
import Mathlib.LinearAlgebra.AffineSpace.Independent import Mathlib.LinearAlgebra.Basis #align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Affine open Set universe u₁ u₂ u₃ u₄ structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V] [AffineSpace V P] [Ring k] [Module k V] where protected toFun : ι → P protected ind' : AffineIndependent k toFun protected tot' : affineSpan k (range toFun) = ⊤ #align affine_basis AffineBasis variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P] namespace AffineBasis section Ring variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι') instance : Inhabited (AffineBasis PUnit k PUnit) := ⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩ instance instFunLike : FunLike (AffineBasis ι k P) ι P where coe := AffineBasis.toFun coe_injective' f g h := by cases f; cases g; congr #align affine_basis.fun_like AffineBasis.instFunLike @[ext] theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ := DFunLike.coe_injective h #align affine_basis.ext AffineBasis.ext theorem ind : AffineIndependent k b := b.ind' #align affine_basis.ind AffineBasis.ind theorem tot : affineSpan k (range b) = ⊤ := b.tot' #align affine_basis.tot AffineBasis.tot protected theorem nonempty : Nonempty ι := not_isEmpty_iff.mp fun hι => by simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot #align affine_basis.nonempty AffineBasis.nonempty def reindex (e : ι ≃ ι') : AffineBasis ι' k P := ⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by rw [e.symm.surjective.range_comp] exact b.3⟩ #align affine_basis.reindex AffineBasis.reindex @[simp, norm_cast] theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm := rfl #align affine_basis.coe_reindex AffineBasis.coe_reindex @[simp] theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') := rfl #align affine_basis.reindex_apply AffineBasis.reindex_apply @[simp] theorem reindex_refl : b.reindex (Equiv.refl _) = b := ext rfl #align affine_basis.reindex_refl AffineBasis.reindex_refl noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V := Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind) (by suffices Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top] conv_rhs => rw [← image_univ] rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)] congr ext v simp) #align affine_basis.basis_of AffineBasis.basisOf @[simp] theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by simp [basisOf] #align affine_basis.basis_of_apply AffineBasis.basisOf_apply @[simp] theorem basisOf_reindex (i : ι') : (b.reindex e).basisOf i = (b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by ext j simp #align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex noncomputable def coord (i : ι) : P →ᵃ[k] k where toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i) linear := -(b.basisOf i).sumCoords map_vadd' q v := by dsimp only rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply, sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg] #align affine_basis.coord AffineBasis.coord @[simp] theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords := rfl #align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords @[simp] theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by ext classical simp [AffineBasis.coord] #align affine_basis.coord_reindex AffineBasis.coord_reindex @[simp] theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero, AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self] #align affine_basis.coord_apply_eq AffineBasis.coord_apply_eq @[simp] theorem coord_apply_ne (h : i ≠ j) : b.coord i (b j) = 0 := by -- Porting note: -- in mathlib3 we didn't need to given the `fun j => j ≠ i` argument to `Subtype.coe_mk`, -- but I don't think we can complain: this proof was over-golfed. rw [coord, AffineMap.coe_mk, ← @Subtype.coe_mk _ (fun j => j ≠ i) j h.symm, ← b.basisOf_apply, Basis.sumCoords_self_apply, sub_self] #align affine_basis.coord_apply_ne AffineBasis.coord_apply_ne
Mathlib/LinearAlgebra/AffineSpace/Basis.lean
182
183
theorem coord_apply [DecidableEq ι] (i j : ι) : b.coord i (b j) = if i = j then 1 else 0 := by
rcases eq_or_ne i j with h | h <;> simp [h]
0
import Mathlib.FieldTheory.Minpoly.Field #align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f" open Polynomial open Polynomial variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S] variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B] variable {K : Type*} [Field K] -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where gen : S dim : ℕ basis : Basis (Fin dim) R S basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ) #align power_basis PowerBasis -- this is usually not needed because of `basis_eq_pow` but can be needed in some cases; -- in such circumstances, add it manually using `@[simps dim gen basis]`. initialize_simps_projections PowerBasis (-basis) namespace PowerBasis @[simp] theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) := funext pb.basis_eq_pow #align power_basis.coe_basis PowerBasis.coe_basis theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis #align power_basis.finite_dimensional PowerBasis.finite @[deprecated] alias finiteDimensional := PowerBasis.finite theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) : FiniteDimensional.finrank R S = pb.dim := by rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin] #align power_basis.finrank PowerBasis.finrank theorem mem_span_pow' {x y : S} {d : ℕ} : y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔ ∃ f : R[X], f.degree < d ∧ y = aeval x f := by have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by ext n simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range] exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩ simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support, exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum, Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop, LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight, Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe] simp_rw [@eq_comm _ y] exact Iff.rfl #align power_basis.mem_span_pow' PowerBasis.mem_span_pow'
Mathlib/RingTheory/PowerBasis.lean
105
116
theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) : y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔ ∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by
rw [mem_span_pow'] constructor <;> · rintro ⟨f, h, hy⟩ refine ⟨f, ?_, hy⟩ by_cases hf : f = 0 · simp only [hf, natDegree_zero, degree_zero] at h ⊢ first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d simp_all only [degree_eq_natDegree hf] · first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h
0
import Batteries.Tactic.Alias import Batteries.Data.Nat.Basic namespace Nat @[simp] theorem recAux_zero {motive : Nat → Sort _} (zero : motive 0) (succ : ∀ n, motive n → motive (n+1)) : Nat.recAux zero succ 0 = zero := rfl theorem recAux_succ {motive : Nat → Sort _} (zero : motive 0) (succ : ∀ n, motive n → motive (n+1)) (n) : Nat.recAux zero succ (n+1) = succ n (Nat.recAux zero succ n) := rfl @[simp] theorem recAuxOn_zero {motive : Nat → Sort _} (zero : motive 0) (succ : ∀ n, motive n → motive (n+1)) : Nat.recAuxOn 0 zero succ = zero := rfl theorem recAuxOn_succ {motive : Nat → Sort _} (zero : motive 0) (succ : ∀ n, motive n → motive (n+1)) (n) : Nat.recAuxOn (n+1) zero succ = succ n (Nat.recAuxOn n zero succ) := rfl @[simp] theorem casesAuxOn_zero {motive : Nat → Sort _} (zero : motive 0) (succ : ∀ n, motive (n+1)) : Nat.casesAuxOn 0 zero succ = zero := rfl theorem casesAuxOn_succ {motive : Nat → Sort _} (zero : motive 0) (succ : ∀ n, motive (n+1)) (n) : Nat.casesAuxOn (n+1) zero succ = succ n := rfl theorem strongRec_eq {motive : Nat → Sort _} (ind : ∀ n, (∀ m, m < n → motive m) → motive n) (t : Nat) : Nat.strongRec ind t = ind t fun m _ => Nat.strongRec ind m := by conv => lhs; unfold Nat.strongRec theorem strongRecOn_eq {motive : Nat → Sort _} (ind : ∀ n, (∀ m, m < n → motive m) → motive n) (t : Nat) : Nat.strongRecOn t ind = ind t fun m _ => Nat.strongRecOn m ind := Nat.strongRec_eq .. @[simp] theorem recDiagAux_zero_left {motive : Nat → Nat → Sort _} (zero_left : ∀ n, motive 0 n) (zero_right : ∀ m, motive m 0) (succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (n) : Nat.recDiagAux zero_left zero_right succ_succ 0 n = zero_left n := by cases n <;> rfl @[simp] theorem recDiagAux_zero_right {motive : Nat → Nat → Sort _} (zero_left : ∀ n, motive 0 n) (zero_right : ∀ m, motive m 0) (succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (m) (h : zero_left 0 = zero_right 0 := by first | assumption | trivial) : Nat.recDiagAux zero_left zero_right succ_succ m 0 = zero_right m := by cases m; exact h; rfl theorem recDiagAux_succ_succ {motive : Nat → Nat → Sort _} (zero_left : ∀ n, motive 0 n) (zero_right : ∀ m, motive m 0) (succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (m n) : Nat.recDiagAux zero_left zero_right succ_succ (m+1) (n+1) = succ_succ m n (Nat.recDiagAux zero_left zero_right succ_succ m n) := rfl @[simp] theorem recDiag_zero_zero {motive : Nat → Nat → Sort _} (zero_zero : motive 0 0) (zero_succ : ∀ n, motive 0 n → motive 0 (n+1)) (succ_zero : ∀ m, motive m 0 → motive (m+1) 0) (succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) : Nat.recDiag (motive:=motive) zero_zero zero_succ succ_zero succ_succ 0 0 = zero_zero := rfl theorem recDiag_zero_succ {motive : Nat → Nat → Sort _} (zero_zero : motive 0 0) (zero_succ : ∀ n, motive 0 n → motive 0 (n+1)) (succ_zero : ∀ m, motive m 0 → motive (m+1) 0) (succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (n) : Nat.recDiag zero_zero zero_succ succ_zero succ_succ 0 (n+1) = zero_succ n (Nat.recDiag zero_zero zero_succ succ_zero succ_succ 0 n) := by simp [Nat.recDiag]; rfl
.lake/packages/batteries/Batteries/Data/Nat/Lemmas.lean
81
86
theorem recDiag_succ_zero {motive : Nat → Nat → Sort _} (zero_zero : motive 0 0) (zero_succ : ∀ n, motive 0 n → motive 0 (n+1)) (succ_zero : ∀ m, motive m 0 → motive (m+1) 0) (succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (m) : Nat.recDiag zero_zero zero_succ succ_zero succ_succ (m+1) 0 = succ_zero m (Nat.recDiag zero_zero zero_succ succ_zero succ_succ m 0) := by
simp [Nat.recDiag]; cases m <;> rfl
0
import Mathlib.Algebra.Order.Group.TypeTags import Mathlib.FieldTheory.RatFunc.Degree import Mathlib.RingTheory.DedekindDomain.IntegralClosure import Mathlib.RingTheory.IntegrallyClosed import Mathlib.Topology.Algebra.ValuedField #align_import number_theory.function_field from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section open scoped nonZeroDivisors Polynomial DiscreteValuation variable (Fq F : Type) [Field Fq] [Field F] abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop := FiniteDimensional (RatFunc Fq) F #align function_field FunctionField -- Porting note: Removed `protected`
Mathlib/NumberTheory/FunctionField.lean
62
80
theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt] [IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F] [IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] : FunctionField Fq F ↔ FiniteDimensional Fqt F := by
let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt have : ∀ (c) (x : F), e c • x = c • x := by intro c x rw [Algebra.smul_def, Algebra.smul_def] congr refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c -- Porting note: Added `(f := _)` refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;> simp only [AlgEquiv.map_one, RingHom.map_one, AlgEquiv.map_mul, RingHom.map_mul, AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply] constructor <;> intro h · let b := FiniteDimensional.finBasis (RatFunc Fq) F exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this) · let b := FiniteDimensional.finBasis Fqt F refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_) intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply]
0
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Algebra.PUnitInstances import Mathlib.GroupTheory.Congruence.Basic open FreeMonoid Function List Set namespace Monoid @[to_additive "The minimal additive congruence relation `c` on `FreeAddMonoid (M ⊕ N)` such that `FreeAddMonoid.of ∘ Sum.inl` and `FreeAddMonoid.of ∘ Sum.inr` are additive monoid homomorphisms to the quotient by `c`."] def coprodCon (M N : Type*) [MulOneClass M] [MulOneClass N] : Con (FreeMonoid (M ⊕ N)) := sInf {c | (∀ x y : M, c (of (Sum.inl (x * y))) (of (Sum.inl x) * of (Sum.inl y))) ∧ (∀ x y : N, c (of (Sum.inr (x * y))) (of (Sum.inr x) * of (Sum.inr y))) ∧ c (of <| Sum.inl 1) 1 ∧ c (of <| Sum.inr 1) 1} @[to_additive "Coproduct of two additive monoids or groups."] def Coprod (M N : Type*) [MulOneClass M] [MulOneClass N] := (coprodCon M N).Quotient namespace Coprod @[inherit_doc] scoped infix:30 " ∗ " => Coprod section MulOneClass variable {M N M' N' P : Type*} [MulOneClass M] [MulOneClass N] [MulOneClass M'] [MulOneClass N'] [MulOneClass P] @[to_additive] protected instance : MulOneClass (M ∗ N) := Con.mulOneClass _ @[to_additive "The natural projection `FreeAddMonoid (M ⊕ N) →+ AddMonoid.Coprod M N`."] def mk : FreeMonoid (M ⊕ N) →* M ∗ N := Con.mk' _ @[to_additive (attr := simp)] theorem con_ker_mk : Con.ker mk = coprodCon M N := Con.mk'_ker _ @[to_additive] theorem mk_surjective : Surjective (@mk M N _ _) := surjective_quot_mk _ @[to_additive (attr := simp)] theorem mrange_mk : MonoidHom.mrange (@mk M N _ _) = ⊤ := Con.mrange_mk' @[to_additive] theorem mk_eq_mk {w₁ w₂ : FreeMonoid (M ⊕ N)} : mk w₁ = mk w₂ ↔ coprodCon M N w₁ w₂ := Con.eq _ @[to_additive "The natural embedding `M →+ AddMonoid.Coprod M N`."] def inl : M →* M ∗ N where toFun := fun x => mk (of (.inl x)) map_one' := mk_eq_mk.2 fun _c hc => hc.2.2.1 map_mul' := fun x y => mk_eq_mk.2 fun _c hc => hc.1 x y @[to_additive "The natural embedding `N →+ AddMonoid.Coprod M N`."] def inr : N →* M ∗ N where toFun := fun x => mk (of (.inr x)) map_one' := mk_eq_mk.2 fun _c hc => hc.2.2.2 map_mul' := fun x y => mk_eq_mk.2 fun _c hc => hc.2.1 x y @[to_additive (attr := simp)] theorem mk_of_inl (x : M) : (mk (of (.inl x)) : M ∗ N) = inl x := rfl @[to_additive (attr := simp)] theorem mk_of_inr (x : N) : (mk (of (.inr x)) : M ∗ N) = inr x := rfl @[to_additive (attr := elab_as_elim)]
Mathlib/GroupTheory/Coprod/Basic.lean
189
199
theorem induction_on' {C : M ∗ N → Prop} (m : M ∗ N) (one : C 1) (inl_mul : ∀ m x, C x → C (inl m * x)) (inr_mul : ∀ n x, C x → C (inr n * x)) : C m := by
rcases mk_surjective m with ⟨x, rfl⟩ induction x using FreeMonoid.recOn with | h0 => exact one | ih x xs ih => cases x with | inl m => simpa using inl_mul m _ ih | inr n => simpa using inr_mul n _ ih
0
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff import Mathlib.LinearAlgebra.Matrix.ToLin #align_import linear_algebra.matrix.charpoly.linear_map from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c" variable {ι : Type*} [Fintype ι] variable {M : Type*} [AddCommGroup M] (R : Type*) [CommRing R] [Module R M] (I : Ideal R) variable (b : ι → M) (hb : Submodule.span R (Set.range b) = ⊤) open Polynomial Matrix def PiToModule.fromMatrix [DecidableEq ι] : Matrix ι ι R →ₗ[R] (ι → R) →ₗ[R] M := (LinearMap.llcomp R _ _ _ (Fintype.total R R b)).comp algEquivMatrix'.symm.toLinearMap #align pi_to_module.from_matrix PiToModule.fromMatrix theorem PiToModule.fromMatrix_apply [DecidableEq ι] (A : Matrix ι ι R) (w : ι → R) : PiToModule.fromMatrix R b A w = Fintype.total R R b (A *ᵥ w) := rfl #align pi_to_module.from_matrix_apply PiToModule.fromMatrix_apply theorem PiToModule.fromMatrix_apply_single_one [DecidableEq ι] (A : Matrix ι ι R) (j : ι) : PiToModule.fromMatrix R b A (Pi.single j 1) = ∑ i : ι, A i j • b i := by rw [PiToModule.fromMatrix_apply, Fintype.total_apply, Matrix.mulVec_single] simp_rw [mul_one] #align pi_to_module.from_matrix_apply_single_one PiToModule.fromMatrix_apply_single_one def PiToModule.fromEnd : Module.End R M →ₗ[R] (ι → R) →ₗ[R] M := LinearMap.lcomp _ _ (Fintype.total R R b) #align pi_to_module.from_End PiToModule.fromEnd theorem PiToModule.fromEnd_apply (f : Module.End R M) (w : ι → R) : PiToModule.fromEnd R b f w = f (Fintype.total R R b w) := rfl #align pi_to_module.from_End_apply PiToModule.fromEnd_apply theorem PiToModule.fromEnd_apply_single_one [DecidableEq ι] (f : Module.End R M) (i : ι) : PiToModule.fromEnd R b f (Pi.single i 1) = f (b i) := by rw [PiToModule.fromEnd_apply] congr convert Fintype.total_apply_single (S := R) R b i (1 : R) rw [one_smul] #align pi_to_module.from_End_apply_single_one PiToModule.fromEnd_apply_single_one theorem PiToModule.fromEnd_injective (hb : Submodule.span R (Set.range b) = ⊤) : Function.Injective (PiToModule.fromEnd R b) := by intro x y e ext m obtain ⟨m, rfl⟩ : m ∈ LinearMap.range (Fintype.total R R b) := by rw [(Fintype.range_total R b).trans hb] exact Submodule.mem_top exact (LinearMap.congr_fun e m : _) #align pi_to_module.from_End_injective PiToModule.fromEnd_injective section variable {R} [DecidableEq ι] def Matrix.Represents (A : Matrix ι ι R) (f : Module.End R M) : Prop := PiToModule.fromMatrix R b A = PiToModule.fromEnd R b f #align matrix.represents Matrix.Represents variable {b} theorem Matrix.Represents.congr_fun {A : Matrix ι ι R} {f : Module.End R M} (h : A.Represents b f) (x) : Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) := LinearMap.congr_fun h x #align matrix.represents.congr_fun Matrix.Represents.congr_fun theorem Matrix.represents_iff {A : Matrix ι ι R} {f : Module.End R M} : A.Represents b f ↔ ∀ x, Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) := ⟨fun e x => e.congr_fun x, fun H => LinearMap.ext fun x => H x⟩ #align matrix.represents_iff Matrix.represents_iff theorem Matrix.represents_iff' {A : Matrix ι ι R} {f : Module.End R M} : A.Represents b f ↔ ∀ j, ∑ i : ι, A i j • b i = f (b j) := by constructor · intro h i have := LinearMap.congr_fun h (Pi.single i 1) rwa [PiToModule.fromEnd_apply_single_one, PiToModule.fromMatrix_apply_single_one] at this · intro h -- Porting note: was `ext` refine LinearMap.pi_ext' (fun i => LinearMap.ext_ring ?_) simp_rw [LinearMap.comp_apply, LinearMap.coe_single, PiToModule.fromEnd_apply_single_one, PiToModule.fromMatrix_apply_single_one] apply h #align matrix.represents_iff' Matrix.represents_iff'
Mathlib/LinearAlgebra/Matrix/Charpoly/LinearMap.lean
114
121
theorem Matrix.Represents.mul {A A' : Matrix ι ι R} {f f' : Module.End R M} (h : A.Represents b f) (h' : Matrix.Represents b A' f') : (A * A').Represents b (f * f') := by
delta Matrix.Represents PiToModule.fromMatrix rw [LinearMap.comp_apply, AlgEquiv.toLinearMap_apply, _root_.map_mul] ext dsimp [PiToModule.fromEnd] rw [← h'.congr_fun, ← h.congr_fun] rfl
0
import Mathlib.Algebra.Polynomial.Degree.Lemmas open Polynomial namespace Mathlib.Tactic.ComputeDegree section recursion_lemmas variable {R : Type*} section semiring variable [Semiring R] theorem natDegree_C_le (a : R) : natDegree (C a) ≤ 0 := (natDegree_C a).le theorem natDegree_natCast_le (n : ℕ) : natDegree (n : R[X]) ≤ 0 := (natDegree_natCast _).le theorem natDegree_zero_le : natDegree (0 : R[X]) ≤ 0 := natDegree_zero.le theorem natDegree_one_le : natDegree (1 : R[X]) ≤ 0 := natDegree_one.le @[deprecated (since := "2024-04-17")] alias natDegree_nat_cast_le := natDegree_natCast_le theorem coeff_add_of_eq {n : ℕ} {a b : R} {f g : R[X]} (h_add_left : f.coeff n = a) (h_add_right : g.coeff n = b) : (f + g).coeff n = a + b := by subst ‹_› ‹_›; apply coeff_add theorem coeff_mul_add_of_le_natDegree_of_eq_ite {d df dg : ℕ} {a b : R} {f g : R[X]} (h_mul_left : natDegree f ≤ df) (h_mul_right : natDegree g ≤ dg) (h_mul_left : f.coeff df = a) (h_mul_right : g.coeff dg = b) (ddf : df + dg ≤ d) : (f * g).coeff d = if d = df + dg then a * b else 0 := by split_ifs with h · subst h_mul_left h_mul_right h exact coeff_mul_of_natDegree_le ‹_› ‹_› · apply coeff_eq_zero_of_natDegree_lt apply lt_of_le_of_lt ?_ (lt_of_le_of_ne ddf ?_) · exact natDegree_mul_le_of_le ‹_› ‹_› · exact ne_comm.mp h theorem coeff_pow_of_natDegree_le_of_eq_ite' {m n o : ℕ} {a : R} {p : R[X]} (h_pow : natDegree p ≤ n) (h_exp : m * n ≤ o) (h_pow_bas : coeff p n = a) : coeff (p ^ m) o = if o = m * n then a ^ m else 0 := by split_ifs with h · subst h h_pow_bas exact coeff_pow_of_natDegree_le ‹_› · apply coeff_eq_zero_of_natDegree_lt apply lt_of_le_of_lt ?_ (lt_of_le_of_ne ‹_› ?_) · exact natDegree_pow_le_of_le m ‹_› · exact Iff.mp ne_comm h theorem natDegree_smul_le_of_le {n : ℕ} {a : R} {f : R[X]} (hf : natDegree f ≤ n) : natDegree (a • f) ≤ n := (natDegree_smul_le a f).trans hf theorem degree_smul_le_of_le {n : ℕ} {a : R} {f : R[X]} (hf : degree f ≤ n) : degree (a • f) ≤ n := (degree_smul_le a f).trans hf theorem coeff_smul {n : ℕ} {a : R} {f : R[X]} : (a • f).coeff n = a * f.coeff n := rfl section congr_lemmas theorem natDegree_eq_of_le_of_coeff_ne_zero' {deg m o : ℕ} {c : R} {p : R[X]} (h_natDeg_le : natDegree p ≤ m) (coeff_eq : coeff p o = c) (coeff_ne_zero : c ≠ 0) (deg_eq_deg : m = deg) (coeff_eq_deg : o = deg) : natDegree p = deg := by subst coeff_eq deg_eq_deg coeff_eq_deg exact natDegree_eq_of_le_of_coeff_ne_zero ‹_› ‹_›
Mathlib/Tactic/ComputeDegree.lean
157
165
theorem degree_eq_of_le_of_coeff_ne_zero' {deg m o : WithBot ℕ} {c : R} {p : R[X]} (h_deg_le : degree p ≤ m) (coeff_eq : coeff p (WithBot.unbot' 0 deg) = c) (coeff_ne_zero : c ≠ 0) (deg_eq_deg : m = deg) (coeff_eq_deg : o = deg) : degree p = deg := by
subst coeff_eq coeff_eq_deg deg_eq_deg rcases eq_or_ne m ⊥ with rfl|hh · exact bot_unique h_deg_le · obtain ⟨m, rfl⟩ := WithBot.ne_bot_iff_exists.mp hh exact degree_eq_of_le_of_coeff_ne_zero ‹_› ‹_›
0
import Mathlib.Algebra.Group.Subgroup.Pointwise import Mathlib.Data.Set.Basic import Mathlib.Data.Setoid.Basic import Mathlib.GroupTheory.Coset #align_import group_theory.double_coset from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" -- Porting note: removed import -- import Mathlib.Tactic.Group variable {G : Type*} [Group G] {α : Type*} [Mul α] (J : Subgroup G) (g : G) open MulOpposite open scoped Pointwise namespace Doset def doset (a : α) (s t : Set α) : Set α := s * {a} * t #align doset Doset.doset lemma doset_eq_image2 (a : α) (s t : Set α) : doset a s t = Set.image2 (· * a * ·) s t := by simp_rw [doset, Set.mul_singleton, ← Set.image2_mul, Set.image2_image_left] theorem mem_doset {s t : Set α} {a b : α} : b ∈ doset a s t ↔ ∃ x ∈ s, ∃ y ∈ t, b = x * a * y := by simp only [doset_eq_image2, Set.mem_image2, eq_comm] #align doset.mem_doset Doset.mem_doset theorem mem_doset_self (H K : Subgroup G) (a : G) : a ∈ doset a H K := mem_doset.mpr ⟨1, H.one_mem, 1, K.one_mem, (one_mul a).symm.trans (mul_one (1 * a)).symm⟩ #align doset.mem_doset_self Doset.mem_doset_self
Mathlib/GroupTheory/DoubleCoset.lean
52
57
theorem doset_eq_of_mem {H K : Subgroup G} {a b : G} (hb : b ∈ doset a H K) : doset b H K = doset a H K := by
obtain ⟨h, hh, k, hk, rfl⟩ := mem_doset.1 hb rw [doset, doset, ← Set.singleton_mul_singleton, ← Set.singleton_mul_singleton, mul_assoc, mul_assoc, Subgroup.singleton_mul_subgroup hk, ← mul_assoc, ← mul_assoc, Subgroup.subgroup_mul_singleton hh]
0
import Mathlib.Probability.Kernel.Disintegration.Integral open MeasureTheory Set Filter MeasurableSpace open scoped ENNReal MeasureTheory Topology ProbabilityTheory namespace ProbabilityTheory variable {α β Ω : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] section Measure variable {ρ : Measure (α × Ω)} [IsFiniteMeasure ρ] theorem eq_condKernel_of_measure_eq_compProd' (κ : kernel α Ω) [IsSFiniteKernel κ] (hκ : ρ = ρ.fst ⊗ₘ κ) {s : Set Ω} (hs : MeasurableSet s) : ∀ᵐ x ∂ρ.fst, κ x s = ρ.condKernel x s := by refine ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite (kernel.measurable_coe κ hs) (kernel.measurable_coe ρ.condKernel hs) (fun t ht _ ↦ ?_) conv_rhs => rw [Measure.set_lintegral_condKernel_eq_measure_prod ht hs, hκ] simp only [Measure.compProd_apply (ht.prod hs), Set.mem_prod, ← lintegral_indicator _ ht] congr with x by_cases hx : x ∈ t all_goals simp [hx] lemma eq_condKernel_of_measure_eq_compProd_real {ρ : Measure (α × ℝ)} [IsFiniteMeasure ρ] (κ : kernel α ℝ) [IsFiniteKernel κ] (hκ : ρ = ρ.fst ⊗ₘ κ) : ∀ᵐ x ∂ρ.fst, κ x = ρ.condKernel x := by have huniv : ∀ᵐ x ∂ρ.fst, κ x Set.univ = ρ.condKernel x Set.univ := eq_condKernel_of_measure_eq_compProd' κ hκ MeasurableSet.univ suffices ∀ᵐ x ∂ρ.fst, ∀ ⦃t⦄, MeasurableSet t → κ x t = ρ.condKernel x t by filter_upwards [this] with x hx ext t ht; exact hx ht apply MeasurableSpace.ae_induction_on_inter Real.borel_eq_generateFrom_Iic_rat Real.isPiSystem_Iic_rat · simp · simp only [iUnion_singleton_eq_range, mem_range, forall_exists_index, forall_apply_eq_imp_iff] exact ae_all_iff.2 fun q ↦ eq_condKernel_of_measure_eq_compProd' κ hκ measurableSet_Iic · filter_upwards [huniv] with x hxuniv t ht heq rw [measure_compl ht <| measure_ne_top _ _, heq, hxuniv, measure_compl ht <| measure_ne_top _ _] · refine ae_of_all _ (fun x f hdisj hf heq ↦ ?_) rw [measure_iUnion hdisj hf, measure_iUnion hdisj hf] exact tsum_congr heq
Mathlib/Probability/Kernel/Disintegration/Unique.lean
81
124
theorem eq_condKernel_of_measure_eq_compProd (κ : kernel α Ω) [IsFiniteKernel κ] (hκ : ρ = ρ.fst ⊗ₘ κ) : ∀ᵐ x ∂ρ.fst, κ x = ρ.condKernel x := by
-- The idea is to transport the question to `ℝ` from `Ω` using `embeddingReal` -- and then construct a measure on `α × ℝ` let f := embeddingReal Ω have hf := measurableEmbedding_embeddingReal Ω set ρ' : Measure (α × ℝ) := ρ.map (Prod.map id f) with hρ'def have hρ' : ρ'.fst = ρ.fst := by ext s hs rw [hρ'def, Measure.fst_apply, Measure.fst_apply, Measure.map_apply] exacts [rfl, Measurable.prod measurable_fst <| hf.measurable.comp measurable_snd, measurable_fst hs, hs, hs] have hρ'' : ∀ᵐ x ∂ρ.fst, kernel.map κ f hf.measurable x = ρ'.condKernel x := by rw [← hρ'] refine eq_condKernel_of_measure_eq_compProd_real (kernel.map κ f hf.measurable) ?_ ext s hs conv_lhs => rw [hρ'def, hκ] rw [Measure.map_apply (measurable_id.prod_map hf.measurable) hs, hρ', Measure.compProd_apply hs, Measure.compProd_apply (measurable_id.prod_map hf.measurable hs)] congr with a rw [kernel.map_apply'] exacts [rfl, measurable_prod_mk_left hs] suffices ∀ᵐ x ∂ρ.fst, ∀ s, MeasurableSet s → ρ'.condKernel x s = ρ.condKernel x (f ⁻¹' s) by filter_upwards [hρ'', this] with x hx h rw [kernel.map_apply] at hx ext s hs rw [← Set.preimage_image_eq s hf.injective, ← Measure.map_apply hf.measurable <| hf.measurableSet_image.2 hs, hx, h _ <| hf.measurableSet_image.2 hs] suffices ρ.map (Prod.map id f) = (ρ.fst ⊗ₘ (kernel.map ρ.condKernel f hf.measurable)) by rw [← hρ'] at this have heq := eq_condKernel_of_measure_eq_compProd_real _ this rw [hρ'] at heq filter_upwards [heq] with x hx s hs rw [← hx, kernel.map_apply, Measure.map_apply hf.measurable hs] ext s hs conv_lhs => rw [← ρ.compProd_fst_condKernel] rw [Measure.compProd_apply hs, Measure.map_apply (measurable_id.prod_map hf.measurable) hs, Measure.compProd_apply] · congr with a rw [kernel.map_apply'] exacts [rfl, measurable_prod_mk_left hs] · exact measurable_id.prod_map hf.measurable hs
0
import Mathlib.Control.Functor.Multivariate import Mathlib.Data.PFunctor.Univariate.Basic #align_import data.pfunctor.multivariate.basic from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d" universe u v open MvFunctor @[pp_with_univ] structure MvPFunctor (n : ℕ) where A : Type u B : A → TypeVec.{u} n #align mvpfunctor MvPFunctor namespace MvPFunctor open MvFunctor (LiftP LiftR) variable {n m : ℕ} (P : MvPFunctor.{u} n) @[coe] def Obj (α : TypeVec.{u} n) : Type u := Σ a : P.A, P.B a ⟹ α #align mvpfunctor.obj MvPFunctor.Obj instance : CoeFun (MvPFunctor.{u} n) (fun _ => TypeVec.{u} n → Type u) where coe := Obj def map {α β : TypeVec n} (f : α ⟹ β) : P α → P β := fun ⟨a, g⟩ => ⟨a, TypeVec.comp f g⟩ #align mvpfunctor.map MvPFunctor.map instance : Inhabited (MvPFunctor n) := ⟨⟨default, default⟩⟩ instance Obj.inhabited {α : TypeVec n} [Inhabited P.A] [∀ i, Inhabited (α i)] : Inhabited (P α) := ⟨⟨default, fun _ _ => default⟩⟩ #align mvpfunctor.obj.inhabited MvPFunctor.Obj.inhabited instance : MvFunctor.{u} P.Obj := ⟨@MvPFunctor.map n P⟩ theorem map_eq {α β : TypeVec n} (g : α ⟹ β) (a : P.A) (f : P.B a ⟹ α) : @MvFunctor.map _ P.Obj _ _ _ g ⟨a, f⟩ = ⟨a, g ⊚ f⟩ := rfl #align mvpfunctor.map_eq MvPFunctor.map_eq theorem id_map {α : TypeVec n} : ∀ x : P α, TypeVec.id <$$> x = x | ⟨_, _⟩ => rfl #align mvpfunctor.id_map MvPFunctor.id_map theorem comp_map {α β γ : TypeVec n} (f : α ⟹ β) (g : β ⟹ γ) : ∀ x : P α, (g ⊚ f) <$$> x = g <$$> f <$$> x | ⟨_, _⟩ => rfl #align mvpfunctor.comp_map MvPFunctor.comp_map instance : LawfulMvFunctor.{u} P.Obj where id_map := @id_map _ P comp_map := @comp_map _ P def const (n : ℕ) (A : Type u) : MvPFunctor n := { A B := fun _ _ => PEmpty } #align mvpfunctor.const MvPFunctor.const def comp (P : MvPFunctor.{u} n) (Q : Fin2 n → MvPFunctor.{u} m) : MvPFunctor m where A := Σ a₂ : P.1, ∀ i, P.2 a₂ i → (Q i).1 B a i := Σ(j : _) (b : P.2 a.1 j), (Q j).2 (a.snd j b) i #align mvpfunctor.comp MvPFunctor.comp variable {P} {Q : Fin2 n → MvPFunctor.{u} m} {α β : TypeVec.{u} m} def comp.mk (x : P (fun i => Q i α)) : comp P Q α := ⟨⟨x.1, fun _ a => (x.2 _ a).1⟩, fun i a => (x.snd a.fst a.snd.fst).snd i a.snd.snd⟩ #align mvpfunctor.comp.mk MvPFunctor.comp.mk def comp.get (x : comp P Q α) : P (fun i => Q i α) := ⟨x.1.1, fun i a => ⟨x.fst.snd i a, fun (j : Fin2 m) (b : (Q i).B _ j) => x.snd j ⟨i, ⟨a, b⟩⟩⟩⟩ #align mvpfunctor.comp.get MvPFunctor.comp.get theorem comp.get_map (f : α ⟹ β) (x : comp P Q α) : comp.get (f <$$> x) = (fun i (x : Q i α) => f <$$> x) <$$> comp.get x := by rfl #align mvpfunctor.comp.get_map MvPFunctor.comp.get_map @[simp] theorem comp.get_mk (x : P (fun i => Q i α)) : comp.get (comp.mk x) = x := by rfl #align mvpfunctor.comp.get_mk MvPFunctor.comp.get_mk @[simp] theorem comp.mk_get (x : comp P Q α) : comp.mk (comp.get x) = x := by rfl #align mvpfunctor.comp.mk_get MvPFunctor.comp.mk_get theorem liftP_iff {α : TypeVec n} (p : ∀ ⦃i⦄, α i → Prop) (x : P α) : LiftP p x ↔ ∃ a f, x = ⟨a, f⟩ ∧ ∀ i j, p (f i j) := by constructor · rintro ⟨y, hy⟩ cases' h : y with a f refine ⟨a, fun i j => (f i j).val, ?_, fun i j => (f i j).property⟩ rw [← hy, h, map_eq] rfl rintro ⟨a, f, xeq, pf⟩ use ⟨a, fun i j => ⟨f i j, pf i j⟩⟩ rw [xeq]; rfl #align mvpfunctor.liftp_iff MvPFunctor.liftP_iff
Mathlib/Data/PFunctor/Multivariate/Basic.lean
173
179
theorem liftP_iff' {α : TypeVec n} (p : ∀ ⦃i⦄, α i → Prop) (a : P.A) (f : P.B a ⟹ α) : @LiftP.{u} _ P.Obj _ α p ⟨a, f⟩ ↔ ∀ i x, p (f i x) := by
simp only [liftP_iff, Sigma.mk.inj_iff]; constructor · rintro ⟨_, _, ⟨⟩, _⟩ assumption · intro repeat' first |constructor|assumption
0
import Mathlib.Data.Set.Pairwise.Basic import Mathlib.Data.Set.Lattice import Mathlib.Data.SetLike.Basic #align_import order.chain from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" open scoped Classical open Set variable {α β : Type*} section Chain variable (r : α → α → Prop) local infixl:50 " ≺ " => r def IsChain (s : Set α) : Prop := s.Pairwise fun x y => x ≺ y ∨ y ≺ x #align is_chain IsChain def SuperChain (s t : Set α) : Prop := IsChain r t ∧ s ⊂ t #align super_chain SuperChain def IsMaxChain (s : Set α) : Prop := IsChain r s ∧ ∀ ⦃t⦄, IsChain r t → s ⊆ t → s = t #align is_max_chain IsMaxChain variable {r} {c c₁ c₂ c₃ s t : Set α} {a b x y : α} theorem isChain_empty : IsChain r ∅ := Set.pairwise_empty _ #align is_chain_empty isChain_empty theorem Set.Subsingleton.isChain (hs : s.Subsingleton) : IsChain r s := hs.pairwise _ #align set.subsingleton.is_chain Set.Subsingleton.isChain theorem IsChain.mono : s ⊆ t → IsChain r t → IsChain r s := Set.Pairwise.mono #align is_chain.mono IsChain.mono theorem IsChain.mono_rel {r' : α → α → Prop} (h : IsChain r s) (h_imp : ∀ x y, r x y → r' x y) : IsChain r' s := h.mono' fun x y => Or.imp (h_imp x y) (h_imp y x) #align is_chain.mono_rel IsChain.mono_rel theorem IsChain.symm (h : IsChain r s) : IsChain (flip r) s := h.mono' fun _ _ => Or.symm #align is_chain.symm IsChain.symm theorem isChain_of_trichotomous [IsTrichotomous α r] (s : Set α) : IsChain r s := fun a _ b _ hab => (trichotomous_of r a b).imp_right fun h => h.resolve_left hab #align is_chain_of_trichotomous isChain_of_trichotomous protected theorem IsChain.insert (hs : IsChain r s) (ha : ∀ b ∈ s, a ≠ b → a ≺ b ∨ b ≺ a) : IsChain r (insert a s) := hs.insert_of_symmetric (fun _ _ => Or.symm) ha #align is_chain.insert IsChain.insert theorem isChain_univ_iff : IsChain r (univ : Set α) ↔ IsTrichotomous α r := by refine ⟨fun h => ⟨fun a b => ?_⟩, fun h => @isChain_of_trichotomous _ _ h univ⟩ rw [or_left_comm, or_iff_not_imp_left] exact h trivial trivial #align is_chain_univ_iff isChain_univ_iff theorem IsChain.image (r : α → α → Prop) (s : β → β → Prop) (f : α → β) (h : ∀ x y, r x y → s (f x) (f y)) {c : Set α} (hrc : IsChain r c) : IsChain s (f '' c) := fun _ ⟨_, ha₁, ha₂⟩ _ ⟨_, hb₁, hb₂⟩ => ha₂ ▸ hb₂ ▸ fun hxy => (hrc ha₁ hb₁ <| ne_of_apply_ne f hxy).imp (h _ _) (h _ _) #align is_chain.image IsChain.image theorem Monotone.isChain_range [LinearOrder α] [Preorder β] {f : α → β} (hf : Monotone f) : IsChain (· ≤ ·) (range f) := by rw [← image_univ] exact (isChain_of_trichotomous _).image (· ≤ ·) _ _ hf theorem IsChain.lt_of_le [PartialOrder α] {s : Set α} (h : IsChain (· ≤ ·) s) : IsChain (· < ·) s := fun _a ha _b hb hne ↦ (h ha hb hne).imp hne.lt_of_le hne.lt_of_le' section Total variable [IsRefl α r] theorem IsChain.total (h : IsChain r s) (hx : x ∈ s) (hy : y ∈ s) : x ≺ y ∨ y ≺ x := (eq_or_ne x y).elim (fun e => Or.inl <| e ▸ refl _) (h hx hy) #align is_chain.total IsChain.total theorem IsChain.directedOn (H : IsChain r s) : DirectedOn r s := fun x hx y hy => ((H.total hx hy).elim fun h => ⟨y, hy, h, refl _⟩) fun h => ⟨x, hx, refl _, h⟩ #align is_chain.directed_on IsChain.directedOn protected theorem IsChain.directed {f : β → α} {c : Set β} (h : IsChain (f ⁻¹'o r) c) : Directed r fun x : { a : β // a ∈ c } => f x := fun ⟨a, ha⟩ ⟨b, hb⟩ => (by_cases fun hab : a = b => by simp only [hab, exists_prop, and_self_iff, Subtype.exists] exact ⟨b, hb, refl _⟩) fun hab => ((h ha hb hab).elim fun h => ⟨⟨b, hb⟩, h, refl _⟩) fun h => ⟨⟨a, ha⟩, refl _, h⟩ #align is_chain.directed IsChain.directed
Mathlib/Order/Chain.lean
137
142
theorem IsChain.exists3 (hchain : IsChain r s) [IsTrans α r] {a b c} (mem1 : a ∈ s) (mem2 : b ∈ s) (mem3 : c ∈ s) : ∃ (z : _) (_ : z ∈ s), r a z ∧ r b z ∧ r c z := by
rcases directedOn_iff_directed.mpr (IsChain.directed hchain) a mem1 b mem2 with ⟨z, mem4, H1, H2⟩ rcases directedOn_iff_directed.mpr (IsChain.directed hchain) z mem4 c mem3 with ⟨z', mem5, H3, H4⟩ exact ⟨z', mem5, _root_.trans H1 H3, _root_.trans H2 H3, H4⟩
0
import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Adjoint import Mathlib.Analysis.Calculus.LagrangeMultipliers import Mathlib.LinearAlgebra.Eigenspace.Basic #align_import analysis.inner_product_space.rayleigh from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" variable {𝕜 : Type*} [RCLike 𝕜] variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped NNReal open Module.End Metric namespace IsSelfAdjoint section Real variable {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] theorem _root_.LinearMap.IsSymmetric.hasStrictFDerivAt_reApplyInnerSelf {T : F →L[ℝ] F} (hT : (T : F →ₗ[ℝ] F).IsSymmetric) (x₀ : F) : HasStrictFDerivAt T.reApplyInnerSelf (2 • (innerSL ℝ (T x₀))) x₀ := by convert T.hasStrictFDerivAt.inner ℝ (hasStrictFDerivAt_id x₀) using 1 ext y rw [ContinuousLinearMap.smul_apply, ContinuousLinearMap.comp_apply, fderivInnerCLM_apply, ContinuousLinearMap.prod_apply, innerSL_apply, id, ContinuousLinearMap.id_apply, hT.apply_clm x₀ y, real_inner_comm _ x₀, two_smul] #align linear_map.is_symmetric.has_strict_fderiv_at_re_apply_inner_self LinearMap.IsSymmetric.hasStrictFDerivAt_reApplyInnerSelf variable [CompleteSpace F] {T : F →L[ℝ] F}
Mathlib/Analysis/InnerProductSpace/Rayleigh.lean
119
138
theorem linearly_dependent_of_isLocalExtrOn (hT : IsSelfAdjoint T) {x₀ : F} (hextr : IsLocalExtrOn T.reApplyInnerSelf (sphere (0 : F) ‖x₀‖) x₀) : ∃ a b : ℝ, (a, b) ≠ 0 ∧ a • x₀ + b • T x₀ = 0 := by
have H : IsLocalExtrOn T.reApplyInnerSelf {x : F | ‖x‖ ^ 2 = ‖x₀‖ ^ 2} x₀ := by convert hextr ext x simp [dist_eq_norm] -- find Lagrange multipliers for the function `T.re_apply_inner_self` and the -- hypersurface-defining function `fun x ↦ ‖x‖ ^ 2` obtain ⟨a, b, h₁, h₂⟩ := IsLocalExtrOn.exists_multipliers_of_hasStrictFDerivAt_1d H (hasStrictFDerivAt_norm_sq x₀) (hT.isSymmetric.hasStrictFDerivAt_reApplyInnerSelf x₀) refine ⟨a, b, h₁, ?_⟩ apply (InnerProductSpace.toDualMap ℝ F).injective simp only [LinearIsometry.map_add, LinearIsometry.map_smul, LinearIsometry.map_zero] -- Note: #8386 changed `map_smulₛₗ` into `map_smulₛₗ _` simp only [map_smulₛₗ _, RCLike.conj_to_real] change a • innerSL ℝ x₀ + b • innerSL ℝ (T x₀) = 0 apply smul_right_injective (F →L[ℝ] ℝ) (two_ne_zero : (2 : ℝ) ≠ 0) simpa only [two_smul, smul_add, add_smul, add_zero] using h₂
0
import Mathlib.Data.List.Cycle import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.Perm.List #align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a" open Equiv Equiv.Perm List variable {α : Type*} namespace List variable [DecidableEq α] {l l' : List α} theorem formPerm_disjoint_iff (hl : Nodup l) (hl' : Nodup l') (hn : 2 ≤ l.length) (hn' : 2 ≤ l'.length) : Perm.Disjoint (formPerm l) (formPerm l') ↔ l.Disjoint l' := by rw [disjoint_iff_eq_or_eq, List.Disjoint] constructor · rintro h x hx hx' specialize h x rw [formPerm_apply_mem_eq_self_iff _ hl _ hx, formPerm_apply_mem_eq_self_iff _ hl' _ hx'] at h omega · intro h x by_cases hx : x ∈ l on_goal 1 => by_cases hx' : x ∈ l' · exact (h hx hx').elim all_goals have := formPerm_eq_self_of_not_mem _ _ ‹_›; tauto #align list.form_perm_disjoint_iff List.formPerm_disjoint_iff theorem isCycle_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) : IsCycle (formPerm l) := by cases' l with x l · set_option tactic.skipAssignedInstances false in norm_num at hn induction' l with y l generalizing x · set_option tactic.skipAssignedInstances false in norm_num at hn · use x constructor · rwa [formPerm_apply_mem_ne_self_iff _ hl _ (mem_cons_self _ _)] · intro w hw have : w ∈ x::y::l := mem_of_formPerm_ne_self _ _ hw obtain ⟨k, hk⟩ := get_of_mem this use k rw [← hk] simp only [zpow_natCast, formPerm_pow_apply_head _ _ hl k, Nat.mod_eq_of_lt k.isLt] #align list.is_cycle_form_perm List.isCycle_formPerm theorem pairwise_sameCycle_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) : Pairwise l.formPerm.SameCycle l := Pairwise.imp_mem.mpr (pairwise_of_forall fun _ _ hx hy => (isCycle_formPerm hl hn).sameCycle ((formPerm_apply_mem_ne_self_iff _ hl _ hx).mpr hn) ((formPerm_apply_mem_ne_self_iff _ hl _ hy).mpr hn)) #align list.pairwise_same_cycle_form_perm List.pairwise_sameCycle_formPerm theorem cycleOf_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) (x) : cycleOf l.attach.formPerm x = l.attach.formPerm := have hn : 2 ≤ l.attach.length := by rwa [← length_attach] at hn have hl : l.attach.Nodup := by rwa [← nodup_attach] at hl (isCycle_formPerm hl hn).cycleOf_eq ((formPerm_apply_mem_ne_self_iff _ hl _ (mem_attach _ _)).mpr hn) #align list.cycle_of_form_perm List.cycleOf_formPerm
Mathlib/GroupTheory/Perm/Cycle/Concrete.lean
105
117
theorem cycleType_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) : cycleType l.attach.formPerm = {l.length} := by
rw [← length_attach] at hn rw [← nodup_attach] at hl rw [cycleType_eq [l.attach.formPerm]] · simp only [map, Function.comp_apply] rw [support_formPerm_of_nodup _ hl, card_toFinset, dedup_eq_self.mpr hl] · simp · intro x h simp [h, Nat.succ_le_succ_iff] at hn · simp · simpa using isCycle_formPerm hl hn · simp
0
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]
Mathlib/Topology/Compactness/Lindelof.lean
69
75
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]
0
import Mathlib.Computability.Encoding import Mathlib.Logic.Small.List import Mathlib.ModelTheory.Syntax import Mathlib.SetTheory.Cardinal.Ordinal #align_import model_theory.encoding from "leanprover-community/mathlib"@"91288e351d51b3f0748f0a38faa7613fb0ae2ada" universe u v w u' v' namespace FirstOrder namespace Language variable {L : Language.{u, v}} variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P] variable {α : Type u'} {β : Type v'} open FirstOrder Cardinal open Computability List Structure Cardinal Fin namespace Term def listEncode : L.Term α → List (Sum α (Σi, L.Functions i)) | var i => [Sum.inl i] | func f ts => Sum.inr (⟨_, f⟩ : Σi, L.Functions i)::(List.finRange _).bind fun i => (ts i).listEncode #align first_order.language.term.list_encode FirstOrder.Language.Term.listEncode def listDecode : List (Sum α (Σi, L.Functions i)) → List (Option (L.Term α)) | [] => [] | Sum.inl a::l => some (var a)::listDecode l | Sum.inr ⟨n, f⟩::l => if h : ∀ i : Fin n, ((listDecode l).get? i).join.isSome then (func f fun i => Option.get _ (h i))::(listDecode l).drop n else [none] #align first_order.language.term.list_decode FirstOrder.Language.Term.listDecode
Mathlib/ModelTheory/Encoding.lean
67
98
theorem listDecode_encode_list (l : List (L.Term α)) : listDecode (l.bind listEncode) = l.map Option.some := by
suffices h : ∀ (t : L.Term α) (l : List (Sum α (Σi, L.Functions i))), listDecode (t.listEncode ++ l) = some t::listDecode l by induction' l with t l lih · rfl · rw [cons_bind, h t (l.bind listEncode), lih, List.map] intro t induction' t with a n f ts ih <;> intro l · rw [listEncode, singleton_append, listDecode] · rw [listEncode, cons_append, listDecode] have h : listDecode (((finRange n).bind fun i : Fin n => (ts i).listEncode) ++ l) = (finRange n).map (Option.some ∘ ts) ++ listDecode l := by induction' finRange n with i l' l'ih · rfl · rw [cons_bind, List.append_assoc, ih, map_cons, l'ih, cons_append, Function.comp] have h' : ∀ i : Fin n, (listDecode (((finRange n).bind fun i : Fin n => (ts i).listEncode) ++ l)).get? ↑i = some (some (ts i)) := by intro i rw [h, get?_append, get?_map] · simp only [Option.map_eq_some', Function.comp_apply, get?_eq_some] refine ⟨i, ⟨lt_of_lt_of_le i.2 (ge_of_eq (length_finRange _)), ?_⟩, rfl⟩ rw [get_finRange, Fin.eta] · refine lt_of_lt_of_le i.2 ?_ simp refine (dif_pos fun i => Option.isSome_iff_exists.2 ⟨ts i, ?_⟩).trans ?_ · rw [Option.join_eq_some, h'] refine congr (congr rfl (congr rfl (congr rfl (funext fun i => Option.get_of_mem _ ?_)))) ?_ · simp [h'] · rw [h, drop_left'] rw [length_map, length_finRange]
0
import Mathlib.Analysis.Convex.Slope import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Tactic.LinearCombination #align_import analysis.convex.specific_functions.basic from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" open Real Set NNReal theorem strictConvexOn_exp : StrictConvexOn ℝ univ exp := by apply strictConvexOn_of_slope_strict_mono_adjacent convex_univ rintro x y z - - hxy hyz trans exp y · have h1 : 0 < y - x := by linarith have h2 : x - y < 0 := by linarith rw [div_lt_iff h1] calc exp y - exp x = exp y - exp y * exp (x - y) := by rw [← exp_add]; ring_nf _ = exp y * (1 - exp (x - y)) := by ring _ < exp y * -(x - y) := by gcongr; linarith [add_one_lt_exp h2.ne] _ = exp y * (y - x) := by ring · have h1 : 0 < z - y := by linarith rw [lt_div_iff h1] calc exp y * (z - y) < exp y * (exp (z - y) - 1) := by gcongr _ * ?_ linarith [add_one_lt_exp h1.ne'] _ = exp (z - y) * exp y - exp y := by ring _ ≤ exp z - exp y := by rw [← exp_add]; ring_nf; rfl #align strict_convex_on_exp strictConvexOn_exp theorem convexOn_exp : ConvexOn ℝ univ exp := strictConvexOn_exp.convexOn #align convex_on_exp convexOn_exp
Mathlib/Analysis/Convex/SpecificFunctions/Basic.lean
67
94
theorem strictConcaveOn_log_Ioi : StrictConcaveOn ℝ (Ioi 0) log := by
apply strictConcaveOn_of_slope_strict_anti_adjacent (convex_Ioi (0 : ℝ)) intro x y z (hx : 0 < x) (hz : 0 < z) hxy hyz have hy : 0 < y := hx.trans hxy trans y⁻¹ · have h : 0 < z - y := by linarith rw [div_lt_iff h] have hyz' : 0 < z / y := by positivity have hyz'' : z / y ≠ 1 := by contrapose! h rw [div_eq_one_iff_eq hy.ne'] at h simp [h] calc log z - log y = log (z / y) := by rw [← log_div hz.ne' hy.ne'] _ < z / y - 1 := log_lt_sub_one_of_pos hyz' hyz'' _ = y⁻¹ * (z - y) := by field_simp · have h : 0 < y - x := by linarith rw [lt_div_iff h] have hxy' : 0 < x / y := by positivity have hxy'' : x / y ≠ 1 := by contrapose! h rw [div_eq_one_iff_eq hy.ne'] at h simp [h] calc y⁻¹ * (y - x) = 1 - x / y := by field_simp _ < -log (x / y) := by linarith [log_lt_sub_one_of_pos hxy' hxy''] _ = -(log x - log y) := by rw [log_div hx.ne' hy.ne'] _ = log y - log x := by ring
0
import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.RingTheory.Derivation.Basic #align_import data.mv_polynomial.derivation from "leanprover-community/mathlib"@"b608348ffaeb7f557f2fd46876037abafd326ff3" namespace MvPolynomial noncomputable section variable {σ R A : Type*} [CommSemiring R] [AddCommMonoid A] [Module R A] [Module (MvPolynomial σ R) A] section variable (R) def mkDerivationₗ (f : σ → A) : MvPolynomial σ R →ₗ[R] A := Finsupp.lsum R fun xs : σ →₀ ℕ => (LinearMap.ringLmapEquivSelf R R A).symm <| xs.sum fun i k => monomial (xs - Finsupp.single i 1) (k : R) • f i #align mv_polynomial.mk_derivationₗ MvPolynomial.mkDerivationₗ end theorem mkDerivationₗ_monomial (f : σ → A) (s : σ →₀ ℕ) (r : R) : mkDerivationₗ R f (monomial s r) = r • s.sum fun i k => monomial (s - Finsupp.single i 1) (k : R) • f i := sum_monomial_eq <| LinearMap.map_zero _ #align mv_polynomial.mk_derivationₗ_monomial MvPolynomial.mkDerivationₗ_monomial theorem mkDerivationₗ_C (f : σ → A) (r : R) : mkDerivationₗ R f (C r) = 0 := (mkDerivationₗ_monomial f _ _).trans (smul_zero _) set_option linter.uppercaseLean3 false in #align mv_polynomial.mk_derivationₗ_C MvPolynomial.mkDerivationₗ_C theorem mkDerivationₗ_X (f : σ → A) (i : σ) : mkDerivationₗ R f (X i) = f i := (mkDerivationₗ_monomial f _ _).trans <| by simp set_option linter.uppercaseLean3 false in #align mv_polynomial.mk_derivationₗ_X MvPolynomial.mkDerivationₗ_X @[simp] theorem derivation_C (D : Derivation R (MvPolynomial σ R) A) (a : R) : D (C a) = 0 := D.map_algebraMap a set_option linter.uppercaseLean3 false in #align mv_polynomial.derivation_C MvPolynomial.derivation_C @[simp] theorem derivation_C_mul (D : Derivation R (MvPolynomial σ R) A) (a : R) (f : MvPolynomial σ R) : C (σ := σ) a • D f = a • D f := by have : C (σ := σ) a • D f = D (C a * f) := by simp rw [this, C_mul', D.map_smul] theorem derivation_eqOn_supported {D₁ D₂ : Derivation R (MvPolynomial σ R) A} {s : Set σ} (h : Set.EqOn (D₁ ∘ X) (D₂ ∘ X) s) {f : MvPolynomial σ R} (hf : f ∈ supported R s) : D₁ f = D₂ f := Derivation.eqOn_adjoin (Set.forall_mem_image.2 h) hf #align mv_polynomial.derivation_eq_on_supported MvPolynomial.derivation_eqOn_supported theorem derivation_eq_of_forall_mem_vars {D₁ D₂ : Derivation R (MvPolynomial σ R) A} {f : MvPolynomial σ R} (h : ∀ i ∈ f.vars, D₁ (X i) = D₂ (X i)) : D₁ f = D₂ f := derivation_eqOn_supported h f.mem_supported_vars #align mv_polynomial.derivation_eq_of_forall_mem_vars MvPolynomial.derivation_eq_of_forall_mem_vars theorem derivation_eq_zero_of_forall_mem_vars {D : Derivation R (MvPolynomial σ R) A} {f : MvPolynomial σ R} (h : ∀ i ∈ f.vars, D (X i) = 0) : D f = 0 := show D f = (0 : Derivation R (MvPolynomial σ R) A) f from derivation_eq_of_forall_mem_vars h #align mv_polynomial.derivation_eq_zero_of_forall_mem_vars MvPolynomial.derivation_eq_zero_of_forall_mem_vars @[ext] theorem derivation_ext {D₁ D₂ : Derivation R (MvPolynomial σ R) A} (h : ∀ i, D₁ (X i) = D₂ (X i)) : D₁ = D₂ := Derivation.ext fun _ => derivation_eq_of_forall_mem_vars fun i _ => h i #align mv_polynomial.derivation_ext MvPolynomial.derivation_ext variable [IsScalarTower R (MvPolynomial σ R) A]
Mathlib/Algebra/MvPolynomial/Derivation.lean
96
114
theorem leibniz_iff_X (D : MvPolynomial σ R →ₗ[R] A) (h₁ : D 1 = 0) : (∀ p q, D (p * q) = p • D q + q • D p) ↔ ∀ s i, D (monomial s 1 * X i) = (monomial s 1 : MvPolynomial σ R) • D (X i) + (X i : MvPolynomial σ R) • D (monomial s 1) := by
refine ⟨fun H p i => H _ _, fun H => ?_⟩ have hC : ∀ r, D (C r) = 0 := by intro r; rw [C_eq_smul_one, D.map_smul, h₁, smul_zero] have : ∀ p i, D (p * X i) = p • D (X i) + (X i : MvPolynomial σ R) • D p := by intro p i induction' p using MvPolynomial.induction_on' with s r p q hp hq · rw [← mul_one r, ← C_mul_monomial, mul_assoc, C_mul', D.map_smul, H, C_mul', smul_assoc, smul_add, D.map_smul, smul_comm r (X i)] · rw [add_mul, map_add, map_add, hp, hq, add_smul, smul_add, add_add_add_comm] intro p q induction q using MvPolynomial.induction_on with | h_C c => rw [mul_comm, C_mul', hC, smul_zero, zero_add, D.map_smul, C_eq_smul_one, smul_one_smul] | h_add q₁ q₂ h₁ h₂ => simp only [mul_add, map_add, h₁, h₂, smul_add, add_smul]; abel | h_X q i hq => simp only [this, ← mul_assoc, hq, mul_smul, smul_add, add_assoc] rw [smul_comm (X i), smul_comm (X i)]
0
import Mathlib.Topology.Algebra.Module.StrongTopology import Mathlib.Topology.Algebra.Module.LocallyConvex #align_import analysis.locally_convex.strong_topology from "leanprover-community/mathlib"@"47b12e7f2502f14001f891ca87fbae2b4acaed3f" open Topology UniformConvergence variable {R 𝕜₁ 𝕜₂ E F : Type*} variable [AddCommGroup E] [TopologicalSpace E] [AddCommGroup F] [TopologicalSpace F] [TopologicalAddGroup F] section General namespace UniformConvergenceCLM variable (R) variable [OrderedSemiring R] variable [NormedField 𝕜₁] [NormedField 𝕜₂] [Module 𝕜₁ E] [Module 𝕜₂ F] {σ : 𝕜₁ →+* 𝕜₂} variable [Module R F] [ContinuousConstSMul R F] [LocallyConvexSpace R F] [SMulCommClass 𝕜₂ R F]
Mathlib/Analysis/LocallyConvex/StrongTopology.lean
47
54
theorem locallyConvexSpace (𝔖 : Set (Set E)) (h𝔖₁ : 𝔖.Nonempty) (h𝔖₂ : DirectedOn (· ⊆ ·) 𝔖) : LocallyConvexSpace R (UniformConvergenceCLM σ F 𝔖) := by
apply LocallyConvexSpace.ofBasisZero _ _ _ _ (UniformConvergenceCLM.hasBasis_nhds_zero_of_basis _ _ _ h𝔖₁ h𝔖₂ (LocallyConvexSpace.convex_basis_zero R F)) _ rintro ⟨S, V⟩ ⟨_, _, hVconvex⟩ f hf g hg a b ha hb hab x hx exact hVconvex (hf x hx) (hg x hx) ha hb hab
0
import Mathlib.CategoryTheory.Sites.Spaces import Mathlib.Topology.Sheaves.Sheaf import Mathlib.CategoryTheory.Sites.DenseSubsite #align_import topology.sheaves.sheaf_condition.sites from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section set_option linter.uppercaseLean3 false -- Porting note: Added because of too many false positives universe w v u open CategoryTheory TopologicalSpace namespace TopCat.Presheaf variable {X : TopCat.{w}} def coveringOfPresieve (U : Opens X) (R : Presieve U) : (ΣV, { f : V ⟶ U // R f }) → Opens X := fun f => f.1 #align Top.presheaf.covering_of_presieve TopCat.Presheaf.coveringOfPresieve @[simp] theorem coveringOfPresieve_apply (U : Opens X) (R : Presieve U) (f : ΣV, { f : V ⟶ U // R f }) : coveringOfPresieve U R f = f.1 := rfl #align Top.presheaf.covering_of_presieve_apply TopCat.Presheaf.coveringOfPresieve_apply def presieveOfCoveringAux {ι : Type v} (U : ι → Opens X) (Y : Opens X) : Presieve Y := fun V _ => ∃ i, V = U i #align Top.presheaf.presieve_of_covering_aux TopCat.Presheaf.presieveOfCoveringAux def presieveOfCovering {ι : Type v} (U : ι → Opens X) : Presieve (iSup U) := presieveOfCoveringAux U (iSup U) #align Top.presheaf.presieve_of_covering TopCat.Presheaf.presieveOfCovering @[simp] theorem covering_presieve_eq_self {Y : Opens X} (R : Presieve Y) : presieveOfCoveringAux (coveringOfPresieve Y R) Y = R := by funext Z ext f exact ⟨fun ⟨⟨_, f', h⟩, rfl⟩ => by rwa [Subsingleton.elim f f'], fun h => ⟨⟨Z, f, h⟩, rfl⟩⟩ #align Top.presheaf.covering_presieve_eq_self TopCat.Presheaf.covering_presieve_eq_self section OpenEmbedding open TopCat.Presheaf Opposite variable {C : Type u} [Category.{v} C] variable {X Y : TopCat.{w}} {f : X ⟶ Y} {F : Y.Presheaf C}
Mathlib/Topology/Sheaves/SheafCondition/Sites.lean
161
168
theorem OpenEmbedding.compatiblePreserving (hf : OpenEmbedding f) : CompatiblePreserving (Opens.grothendieckTopology Y) hf.isOpenMap.functor := by
haveI : Mono f := (TopCat.mono_iff_injective f).mpr hf.inj apply compatiblePreservingOfDownwardsClosed intro U V i refine ⟨(Opens.map f).obj V, eqToIso <| Opens.ext <| Set.image_preimage_eq_of_subset fun x h ↦ ?_⟩ obtain ⟨_, _, rfl⟩ := i.le h exact ⟨_, rfl⟩
0
import Mathlib.Data.Nat.Bits import Mathlib.Order.Lattice #align_import data.nat.size from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607" namespace Nat section set_option linter.deprecated false theorem shiftLeft_eq_mul_pow (m) : ∀ n, m <<< n = m * 2 ^ n := shiftLeft_eq _ #align nat.shiftl_eq_mul_pow Nat.shiftLeft_eq_mul_pow theorem shiftLeft'_tt_eq_mul_pow (m) : ∀ n, shiftLeft' true m n + 1 = (m + 1) * 2 ^ n | 0 => by simp [shiftLeft', pow_zero, Nat.one_mul] | k + 1 => by change bit1 (shiftLeft' true m k) + 1 = (m + 1) * (2 ^ k * 2) rw [bit1_val] change 2 * (shiftLeft' true m k + 1) = _ rw [shiftLeft'_tt_eq_mul_pow m k, mul_left_comm, mul_comm 2] #align nat.shiftl'_tt_eq_mul_pow Nat.shiftLeft'_tt_eq_mul_pow end #align nat.one_shiftl Nat.one_shiftLeft #align nat.zero_shiftl Nat.zero_shiftLeft #align nat.shiftr_eq_div_pow Nat.shiftRight_eq_div_pow theorem shiftLeft'_ne_zero_left (b) {m} (h : m ≠ 0) (n) : shiftLeft' b m n ≠ 0 := by induction n <;> simp [bit_ne_zero, shiftLeft', *] #align nat.shiftl'_ne_zero_left Nat.shiftLeft'_ne_zero_left theorem shiftLeft'_tt_ne_zero (m) : ∀ {n}, (n ≠ 0) → shiftLeft' true m n ≠ 0 | 0, h => absurd rfl h | succ _, _ => Nat.bit1_ne_zero _ #align nat.shiftl'_tt_ne_zero Nat.shiftLeft'_tt_ne_zero @[simp] theorem size_zero : size 0 = 0 := by simp [size] #align nat.size_zero Nat.size_zero @[simp] theorem size_bit {b n} (h : bit b n ≠ 0) : size (bit b n) = succ (size n) := by rw [size] conv => lhs rw [binaryRec] simp [h] rw [div2_bit] #align nat.size_bit Nat.size_bit section set_option linter.deprecated false @[simp] theorem size_bit0 {n} (h : n ≠ 0) : size (bit0 n) = succ (size n) := @size_bit false n (Nat.bit0_ne_zero h) #align nat.size_bit0 Nat.size_bit0 @[simp] theorem size_bit1 (n) : size (bit1 n) = succ (size n) := @size_bit true n (Nat.bit1_ne_zero n) #align nat.size_bit1 Nat.size_bit1 @[simp] theorem size_one : size 1 = 1 := show size (bit1 0) = 1 by rw [size_bit1, size_zero] #align nat.size_one Nat.size_one end @[simp] theorem size_shiftLeft' {b m n} (h : shiftLeft' b m n ≠ 0) : size (shiftLeft' b m n) = size m + n := by induction' n with n IH <;> simp [shiftLeft'] at h ⊢ rw [size_bit h, Nat.add_succ] by_cases s0 : shiftLeft' b m n = 0 <;> [skip; rw [IH s0]] rw [s0] at h ⊢ cases b; · exact absurd rfl h have : shiftLeft' true m n + 1 = 1 := congr_arg (· + 1) s0 rw [shiftLeft'_tt_eq_mul_pow] at this obtain rfl := succ.inj (eq_one_of_dvd_one ⟨_, this.symm⟩) simp only [zero_add, one_mul] at this obtain rfl : n = 0 := not_ne_iff.1 fun hn ↦ ne_of_gt (Nat.one_lt_pow hn (by decide)) this rfl #align nat.size_shiftl' Nat.size_shiftLeft' -- TODO: decide whether `Nat.shiftLeft_eq` (which rewrites the LHS into a power) should be a simp -- lemma; it was not in mathlib3. Until then, tell the simpNF linter to ignore the issue. @[simp, nolint simpNF]
Mathlib/Data/Nat/Size.lean
103
104
theorem size_shiftLeft {m} (h : m ≠ 0) (n) : size (m <<< n) = size m + n := by
simp only [size_shiftLeft' (shiftLeft'_ne_zero_left _ h _), ← shiftLeft'_false]
0
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 theorem ae_restrict_of_ae_restrict_inter_Ioo {μ : Measure ℝ} [NoAtoms μ] {s : Set ℝ} {p : ℝ → Prop} (h : ∀ a b, a ∈ s → b ∈ s → a < b → ∀ᵐ x ∂μ.restrict (s ∩ Ioo a b), p x) : ∀ᵐ x ∂μ.restrict s, p x := by let T : s × s → Set ℝ := fun p => Ioo p.1 p.2 let u := ⋃ i : ↥s × ↥s, T i have hfinite : (s \ u).Finite := s.finite_diff_iUnion_Ioo' obtain ⟨A, A_count, hA⟩ : ∃ A : Set (↥s × ↥s), A.Countable ∧ ⋃ i ∈ A, T i = ⋃ i : ↥s × ↥s, T i := isOpen_iUnion_countable _ fun p => isOpen_Ioo have : s ⊆ s \ u ∪ ⋃ p ∈ A, s ∩ T p := by intro x hx by_cases h'x : x ∈ ⋃ i : ↥s × ↥s, T i · rw [← hA] at h'x obtain ⟨p, pA, xp⟩ : ∃ p : ↥s × ↥s, p ∈ A ∧ x ∈ T p := by simpa only [mem_iUnion, exists_prop, SetCoe.exists, exists_and_right] using h'x right exact mem_biUnion pA ⟨hx, xp⟩ · exact Or.inl ⟨hx, h'x⟩ apply ae_restrict_of_ae_restrict_of_subset this rw [ae_restrict_union_iff, ae_restrict_biUnion_iff _ A_count] constructor · have : μ.restrict (s \ u) = 0 := by simp only [restrict_eq_zero, hfinite.measure_zero] simp only [this, ae_zero, eventually_bot] · rintro ⟨⟨a, as⟩, ⟨b, bs⟩⟩ - dsimp [T] rcases le_or_lt b a with (hba | hab) · simp only [Ioo_eq_empty_of_le hba, inter_empty, restrict_empty, ae_zero, eventually_bot] · exact h a b as bs hab #align ae_restrict_of_ae_restrict_inter_Ioo ae_restrict_of_ae_restrict_inter_Ioo
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
659
686
theorem ae_of_mem_of_ae_of_mem_inter_Ioo {μ : Measure ℝ} [NoAtoms μ] {s : Set ℝ} {p : ℝ → Prop} (h : ∀ a b, a ∈ s → b ∈ s → a < b → ∀ᵐ x ∂μ, x ∈ s ∩ Ioo a b → p x) : ∀ᵐ x ∂μ, x ∈ s → p x := by
/- By second-countability, we cover `s` by countably many intervals `(a, b)` (except maybe for two endpoints, which don't matter since `μ` does not have any atom). -/ let T : s × s → Set ℝ := fun p => Ioo p.1 p.2 let u := ⋃ i : ↥s × ↥s, T i have hfinite : (s \ u).Finite := s.finite_diff_iUnion_Ioo' obtain ⟨A, A_count, hA⟩ : ∃ A : Set (↥s × ↥s), A.Countable ∧ ⋃ i ∈ A, T i = ⋃ i : ↥s × ↥s, T i := isOpen_iUnion_countable _ fun p => isOpen_Ioo have M : ∀ᵐ x ∂μ, x ∉ s \ u := hfinite.countable.ae_not_mem _ have M' : ∀ᵐ x ∂μ, ∀ (i : ↥s × ↥s), i ∈ A → x ∈ s ∩ T i → p x := by rw [ae_ball_iff A_count] rintro ⟨⟨a, as⟩, ⟨b, bs⟩⟩ - change ∀ᵐ x : ℝ ∂μ, x ∈ s ∩ Ioo a b → p x rcases le_or_lt b a with (hba | hab) · simp only [Ioo_eq_empty_of_le hba, inter_empty, IsEmpty.forall_iff, eventually_true, mem_empty_iff_false] · exact h a b as bs hab filter_upwards [M, M'] with x hx h'x intro xs by_cases Hx : x ∈ ⋃ i : ↥s × ↥s, T i · rw [← hA] at Hx obtain ⟨p, pA, xp⟩ : ∃ p : ↥s × ↥s, p ∈ A ∧ x ∈ T p := by simpa only [mem_iUnion, exists_prop, SetCoe.exists, exists_and_right] using Hx apply h'x p pA ⟨xs, xp⟩ · exact False.elim (hx ⟨xs, Hx⟩)
0
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Measure.MeasureSpace namespace MeasureTheory namespace Measure variable {M : Type*} [Monoid M] [MeasurableSpace M] @[to_additive conv "Additive convolution of measures."] noncomputable def mconv (μ : Measure M) (ν : Measure M) : Measure M := Measure.map (fun x : M × M ↦ x.1 * x.2) (μ.prod ν) scoped[MeasureTheory] infix:80 " ∗ " => MeasureTheory.Measure.mconv scoped[MeasureTheory] infix:80 " ∗ " => MeasureTheory.Measure.conv @[to_additive (attr := simp)] theorem dirac_one_mconv [MeasurableMul₂ M] (μ : Measure M) [SFinite μ] : (Measure.dirac 1) ∗ μ = μ := by unfold mconv rw [MeasureTheory.Measure.dirac_prod, map_map] · simp only [Function.comp_def, one_mul, map_id'] all_goals { measurability } @[to_additive (attr := simp)] theorem mconv_dirac_one [MeasurableMul₂ M] (μ : Measure M) [SFinite μ] : μ ∗ (Measure.dirac 1) = μ := by unfold mconv rw [MeasureTheory.Measure.prod_dirac, map_map] · simp only [Function.comp_def, mul_one, map_id'] all_goals { measurability } @[to_additive (attr := simp) conv_zero] theorem mconv_zero (μ : Measure M) : (0 : Measure M) ∗ μ = (0 : Measure M) := by unfold mconv simp @[to_additive (attr := simp) zero_conv] theorem zero_mconv (μ : Measure M) : μ ∗ (0 : Measure M) = (0 : Measure M) := by unfold mconv simp @[to_additive conv_add] theorem mconv_add [MeasurableMul₂ M] (μ : Measure M) (ν : Measure M) (ρ : Measure M) [SFinite μ] [SFinite ν] [SFinite ρ] : μ ∗ (ν + ρ) = μ ∗ ν + μ ∗ ρ := by unfold mconv rw [prod_add, map_add] measurability @[to_additive add_conv] theorem add_mconv [MeasurableMul₂ M] (μ : Measure M) (ν : Measure M) (ρ : Measure M) [SFinite μ] [SFinite ν] [SFinite ρ] : (μ + ν) ∗ ρ = μ ∗ ρ + ν ∗ ρ := by unfold mconv rw [add_prod, map_add] measurability @[to_additive conv_comm]
Mathlib/MeasureTheory/Group/Convolution.lean
85
90
theorem mconv_comm {M : Type*} [CommMonoid M] [MeasurableSpace M] [MeasurableMul₂ M] (μ : Measure M) (ν : Measure M) [SFinite μ] [SFinite ν] : μ ∗ ν = ν ∗ μ := by
unfold mconv rw [← prod_swap, map_map] · simp [Function.comp_def, mul_comm] all_goals { measurability }
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import Mathlib.Topology.Order import Mathlib.Topology.Sets.Opens import Mathlib.Topology.ContinuousFunction.Basic #align_import topology.continuous_function.t0_sierpinski from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" noncomputable section namespace TopologicalSpace
Mathlib/Topology/ContinuousFunction/T0Sierpinski.lean
28
37
theorem eq_induced_by_maps_to_sierpinski (X : Type*) [t : TopologicalSpace X] : t = ⨅ u : Opens X, sierpinskiSpace.induced (· ∈ u) := by
apply le_antisymm · rw [le_iInf_iff] exact fun u => Continuous.le_induced (isOpen_iff_continuous_mem.mp u.2) · intro u h rw [← generateFrom_iUnion_isOpen] apply isOpen_generateFrom_of_mem simp only [Set.mem_iUnion, Set.mem_setOf_eq, isOpen_induced_iff] exact ⟨⟨u, h⟩, {True}, isOpen_singleton_true, by simp [Set.preimage]⟩
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import Mathlib.RingTheory.FiniteType import Mathlib.RingTheory.Localization.AtPrime import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Localization.Integer import Mathlib.RingTheory.Localization.Submodule import Mathlib.RingTheory.Nilpotent.Lemmas import Mathlib.RingTheory.RingHomProperties import Mathlib.Data.Set.Subsingleton #align_import ring_theory.local_properties from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" open scoped Pointwise Classical universe u variable {R S : Type u} [CommRing R] [CommRing S] (M : Submonoid R) variable (N : Submonoid S) (R' S' : Type u) [CommRing R'] [CommRing S'] (f : R →+* S) variable [Algebra R R'] [Algebra S S'] section Properties section Ideal open scoped nonZeroDivisors
Mathlib/RingTheory/LocalProperties.lean
236
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theorem Ideal.le_of_localization_maximal {I J : Ideal R} (h : ∀ (P : Ideal R) (hP : P.IsMaximal), Ideal.map (algebraMap R (Localization.AtPrime P)) I ≤ Ideal.map (algebraMap R (Localization.AtPrime P)) J) : I ≤ J := by
intro x hx suffices J.colon (Ideal.span {x}) = ⊤ by simpa using Submodule.mem_colon.mp (show (1 : R) ∈ J.colon (Ideal.span {x}) from this.symm ▸ Submodule.mem_top) x (Ideal.mem_span_singleton_self x) refine Not.imp_symm (J.colon (Ideal.span {x})).exists_le_maximal ?_ push_neg intro P hP le obtain ⟨⟨⟨a, ha⟩, ⟨s, hs⟩⟩, eq⟩ := (IsLocalization.mem_map_algebraMap_iff P.primeCompl _).mp (h P hP (Ideal.mem_map_of_mem _ hx)) rw [← _root_.map_mul, ← sub_eq_zero, ← map_sub] at eq obtain ⟨⟨m, hm⟩, eq⟩ := (IsLocalization.map_eq_zero_iff P.primeCompl _ _).mp eq refine hs ((hP.isPrime.mem_or_mem (le (Ideal.mem_colon_singleton.mpr ?_))).resolve_right hm) simp only [Subtype.coe_mk, mul_sub, sub_eq_zero, mul_comm x s, mul_left_comm] at eq simpa only [mul_assoc, eq] using J.mul_mem_left m ha
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import Mathlib.Algebra.Order.Group.Instances import Mathlib.Analysis.Convex.Segment import Mathlib.Tactic.GCongr #align_import analysis.convex.star from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Set open Convex Pointwise variable {𝕜 E F : Type*} section OrderedSemiring variable [OrderedSemiring 𝕜] section AddCommMonoid variable [AddCommMonoid E] [AddCommMonoid F] section SMul variable (𝕜) [SMul 𝕜 E] [SMul 𝕜 F] (x : E) (s : Set E) def StarConvex : Prop := ∀ ⦃y : E⦄, y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • x + b • y ∈ s #align star_convex StarConvex variable {𝕜 x s} {t : Set E} theorem starConvex_iff_segment_subset : StarConvex 𝕜 x s ↔ ∀ ⦃y⦄, y ∈ s → [x -[𝕜] y] ⊆ s := by constructor · rintro h y hy z ⟨a, b, ha, hb, hab, rfl⟩ exact h hy ha hb hab · rintro h y hy a b ha hb hab exact h hy ⟨a, b, ha, hb, hab, rfl⟩ #align star_convex_iff_segment_subset starConvex_iff_segment_subset theorem StarConvex.segment_subset (h : StarConvex 𝕜 x s) {y : E} (hy : y ∈ s) : [x -[𝕜] y] ⊆ s := starConvex_iff_segment_subset.1 h hy #align star_convex.segment_subset StarConvex.segment_subset theorem StarConvex.openSegment_subset (h : StarConvex 𝕜 x s) {y : E} (hy : y ∈ s) : openSegment 𝕜 x y ⊆ s := (openSegment_subset_segment 𝕜 x y).trans (h.segment_subset hy) #align star_convex.open_segment_subset StarConvex.openSegment_subset
Mathlib/Analysis/Convex/Star.lean
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theorem starConvex_iff_pointwise_add_subset : StarConvex 𝕜 x s ↔ ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • {x} + b • s ⊆ s := by
refine ⟨?_, fun h y hy a b ha hb hab => h ha hb hab (add_mem_add (smul_mem_smul_set <| mem_singleton _) ⟨_, hy, rfl⟩)⟩ rintro hA a b ha hb hab w ⟨au, ⟨u, rfl : u = x, rfl⟩, bv, ⟨v, hv, rfl⟩, rfl⟩ exact hA hv ha hb hab
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import Mathlib.Logic.Function.Conjugate #align_import logic.function.iterate from "leanprover-community/mathlib"@"792a2a264169d64986541c6f8f7e3bbb6acb6295" universe u v variable {α : Type u} {β : Type v} def Nat.iterate {α : Sort u} (op : α → α) : ℕ → α → α | 0, a => a | succ k, a => iterate op k (op a) #align nat.iterate Nat.iterate @[inherit_doc Nat.iterate] notation:max f "^["n"]" => Nat.iterate f n namespace Function open Function (Commute) variable (f : α → α) @[simp] theorem iterate_zero : f^[0] = id := rfl #align function.iterate_zero Function.iterate_zero theorem iterate_zero_apply (x : α) : f^[0] x = x := rfl #align function.iterate_zero_apply Function.iterate_zero_apply @[simp] theorem iterate_succ (n : ℕ) : f^[n.succ] = f^[n] ∘ f := rfl #align function.iterate_succ Function.iterate_succ theorem iterate_succ_apply (n : ℕ) (x : α) : f^[n.succ] x = f^[n] (f x) := rfl #align function.iterate_succ_apply Function.iterate_succ_apply @[simp] theorem iterate_id (n : ℕ) : (id : α → α)^[n] = id := Nat.recOn n rfl fun n ihn ↦ by rw [iterate_succ, ihn, id_comp] #align function.iterate_id Function.iterate_id theorem iterate_add (m : ℕ) : ∀ n : ℕ, f^[m + n] = f^[m] ∘ f^[n] | 0 => rfl | Nat.succ n => by rw [Nat.add_succ, iterate_succ, iterate_succ, iterate_add m n]; rfl #align function.iterate_add Function.iterate_add theorem iterate_add_apply (m n : ℕ) (x : α) : f^[m + n] x = f^[m] (f^[n] x) := by rw [iterate_add f m n] rfl #align function.iterate_add_apply Function.iterate_add_apply -- can be proved by simp but this is shorter and more natural @[simp high] theorem iterate_one : f^[1] = f := funext fun _ ↦ rfl #align function.iterate_one Function.iterate_one theorem iterate_mul (m : ℕ) : ∀ n, f^[m * n] = f^[m]^[n] | 0 => by simp only [Nat.mul_zero, iterate_zero] | n + 1 => by simp only [Nat.mul_succ, Nat.mul_one, iterate_one, iterate_add, iterate_mul m n] #align function.iterate_mul Function.iterate_mul variable {f} theorem iterate_fixed {x} (h : f x = x) (n : ℕ) : f^[n] x = x := Nat.recOn n rfl fun n ihn ↦ by rw [iterate_succ_apply, h, ihn] #align function.iterate_fixed Function.iterate_fixed theorem Injective.iterate (Hinj : Injective f) (n : ℕ) : Injective f^[n] := Nat.recOn n injective_id fun _ ihn ↦ ihn.comp Hinj #align function.injective.iterate Function.Injective.iterate theorem Surjective.iterate (Hsurj : Surjective f) (n : ℕ) : Surjective f^[n] := Nat.recOn n surjective_id fun _ ihn ↦ ihn.comp Hsurj #align function.surjective.iterate Function.Surjective.iterate theorem Bijective.iterate (Hbij : Bijective f) (n : ℕ) : Bijective f^[n] := ⟨Hbij.1.iterate n, Hbij.2.iterate n⟩ #align function.bijective.iterate Function.Bijective.iterate namespace Semiconj theorem iterate_right {f : α → β} {ga : α → α} {gb : β → β} (h : Semiconj f ga gb) (n : ℕ) : Semiconj f ga^[n] gb^[n] := Nat.recOn n id_right fun _ ihn ↦ ihn.comp_right h #align function.semiconj.iterate_right Function.Semiconj.iterate_right
Mathlib/Logic/Function/Iterate.lean
121
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theorem iterate_left {g : ℕ → α → α} (H : ∀ n, Semiconj f (g n) (g <| n + 1)) (n k : ℕ) : Semiconj f^[n] (g k) (g <| n + k) := by
induction n generalizing k with | zero => rw [Nat.zero_add] exact id_left | succ n ihn => rw [Nat.add_right_comm, Nat.add_assoc] exact (H k).trans (ihn (k + 1))
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