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import Mathlib.Algebra.Group.ConjFinite import Mathlib.GroupTheory.Abelianization import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.GroupAction.Quotient import Mathlib.GroupTheory.Index import Mathlib.GroupTheory.SpecificGroups.Dihedral import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.LinearCombination import Mathlib.Tactic.Qify #align_import group_theory.commuting_probability from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" noncomputable section open scoped Classical open Fintype variable (M : Type*) [Mul M] def commProb : ℚ := Nat.card { p : M × M // Commute p.1 p.2 } / (Nat.card M : ℚ) ^ 2 #align comm_prob commProb theorem commProb_def : commProb M = Nat.card { p : M × M // Commute p.1 p.2 } / (Nat.card M : ℚ) ^ 2 := rfl #align comm_prob_def commProb_def theorem commProb_prod (M' : Type*) [Mul M'] : commProb (M × M') = commProb M * commProb M' := by simp_rw [commProb_def, div_mul_div_comm, Nat.card_prod, Nat.cast_mul, mul_pow, ← Nat.cast_mul, ← Nat.card_prod, Commute, SemiconjBy, Prod.ext_iff] congr 2 exact Nat.card_congr ⟨fun x => ⟨⟨⟨x.1.1.1, x.1.2.1⟩, x.2.1⟩, ⟨⟨x.1.1.2, x.1.2.2⟩, x.2.2⟩⟩, fun x => ⟨⟨⟨x.1.1.1, x.2.1.1⟩, ⟨x.1.1.2, x.2.1.2⟩⟩, ⟨x.1.2, x.2.2⟩⟩, fun x => rfl, fun x => rfl⟩ theorem commProb_pi {α : Type*} (i : α → Type*) [Fintype α] [∀ a, Mul (i a)] : commProb (∀ a, i a) = ∏ a, commProb (i a) := by simp_rw [commProb_def, Finset.prod_div_distrib, Finset.prod_pow, ← Nat.cast_prod, ← Nat.card_pi, Commute, SemiconjBy, Function.funext_iff] congr 2 exact Nat.card_congr ⟨fun x a => ⟨⟨x.1.1 a, x.1.2 a⟩, x.2 a⟩, fun x => ⟨⟨fun a => (x a).1.1, fun a => (x a).1.2⟩, fun a => (x a).2⟩, fun x => rfl, fun x => rfl⟩ theorem commProb_function {α β : Type*} [Fintype α] [Mul β] : commProb (α → β) = (commProb β) ^ Fintype.card α := by rw [commProb_pi, Finset.prod_const, Finset.card_univ] @[simp] theorem commProb_eq_zero_of_infinite [Infinite M] : commProb M = 0 := div_eq_zero_iff.2 (Or.inl (Nat.cast_eq_zero.2 Nat.card_eq_zero_of_infinite)) variable [Finite M] theorem commProb_pos [h : Nonempty M] : 0 < commProb M := h.elim fun x ↦ div_pos (Nat.cast_pos.mpr (Finite.card_pos_iff.mpr ⟨⟨(x, x), rfl⟩⟩)) (pow_pos (Nat.cast_pos.mpr Finite.card_pos) 2) #align comm_prob_pos commProb_pos theorem commProb_le_one : commProb M ≤ 1 := by refine div_le_one_of_le ?_ (sq_nonneg (Nat.card M : ℚ)) rw [← Nat.cast_pow, Nat.cast_le, sq, ← Nat.card_prod] apply Finite.card_subtype_le #align comm_prob_le_one commProb_le_one variable {M}
Mathlib/GroupTheory/CommutingProbability.lean
86
93
theorem commProb_eq_one_iff [h : Nonempty M] : commProb M = 1 ↔ Commutative ((· * ·) : M → M → M) := by
haveI := Fintype.ofFinite M rw [commProb, ← Set.coe_setOf, Nat.card_eq_fintype_card, Nat.card_eq_fintype_card] rw [div_eq_one_iff_eq, ← Nat.cast_pow, Nat.cast_inj, sq, ← card_prod, set_fintype_card_eq_univ_iff, Set.eq_univ_iff_forall] · exact ⟨fun h x y ↦ h (x, y), fun h x ↦ h x.1 x.2⟩ · exact pow_ne_zero 2 (Nat.cast_ne_zero.mpr card_ne_zero)
0
import Mathlib.RepresentationTheory.Basic import Mathlib.RepresentationTheory.FdRep #align_import representation_theory.invariants from "leanprover-community/mathlib"@"55b3f8206b8596db8bb1804d8a92814a0b6670c9" suppress_compilation open MonoidAlgebra open Representation namespace GroupAlgebra variable (k G : Type*) [CommSemiring k] [Group G] variable [Fintype G] [Invertible (Fintype.card G : k)] noncomputable def average : MonoidAlgebra k G := ⅟ (Fintype.card G : k) • ∑ g : G, of k G g #align group_algebra.average GroupAlgebra.average @[simp]
Mathlib/RepresentationTheory/Invariants.lean
43
48
theorem mul_average_left (g : G) : ↑(Finsupp.single g 1) * average k G = average k G := by
simp only [mul_one, Finset.mul_sum, Algebra.mul_smul_comm, average, MonoidAlgebra.of_apply, Finset.sum_congr, MonoidAlgebra.single_mul_single] set f : G → MonoidAlgebra k G := fun x => Finsupp.single x 1 show ⅟ (Fintype.card G : k) • ∑ x : G, f (g * x) = ⅟ (Fintype.card G : k) • ∑ x : G, f x rw [Function.Bijective.sum_comp (Group.mulLeft_bijective g) _]
0
import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0
Mathlib/Analysis/ODE/Gronwall.lean
59
70
theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by
by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring
0
import Mathlib.Algebra.Category.ModuleCat.EpiMono import Mathlib.Algebra.Module.Projective import Mathlib.CategoryTheory.Preadditive.Projective import Mathlib.LinearAlgebra.FinsuppVectorSpace import Mathlib.Data.Finsupp.Basic #align_import algebra.category.Module.projective from "leanprover-community/mathlib"@"201a3f4a0e59b5f836fe8a6c1a462ee674327211" universe v u u' open CategoryTheory open CategoryTheory.Limits open LinearMap open ModuleCat open scoped Module
Mathlib/Algebra/Category/ModuleCat/Projective.lean
31
41
theorem IsProjective.iff_projective {R : Type u} [Ring R] {P : Type max u v} [AddCommGroup P] [Module R P] : Module.Projective R P ↔ Projective (ModuleCat.of R P) := by
refine ⟨fun h => ?_, fun h => ?_⟩ · letI : Module.Projective R (ModuleCat.of R P) := h exact ⟨fun E X epi => Module.projective_lifting_property _ _ ((ModuleCat.epi_iff_surjective _).mp epi)⟩ · refine Module.Projective.of_lifting_property.{u,v} ?_ intro E X mE mX sE sX f g s haveI : Epi (↟f) := (ModuleCat.epi_iff_surjective (↟f)).mpr s letI : Projective (ModuleCat.of R P) := h exact ⟨Projective.factorThru (↟g) (↟f), Projective.factorThru_comp (↟g) (↟f)⟩
0
import Mathlib.CategoryTheory.Sites.SheafOfTypes import Mathlib.Order.Closure #align_import category_theory.sites.closed from "leanprover-community/mathlib"@"4cfc30e317caad46858393f1a7a33f609296cc30" universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] variable (J₁ J₂ : GrothendieckTopology C) namespace GrothendieckTopology @[simps] def close {X : C} (S : Sieve X) : Sieve X where arrows _ f := J₁.Covers S f downward_closed hS := J₁.arrow_stable _ _ hS #align category_theory.grothendieck_topology.close CategoryTheory.GrothendieckTopology.close theorem le_close {X : C} (S : Sieve X) : S ≤ J₁.close S := fun _ _ hg => J₁.covering_of_eq_top (S.pullback_eq_top_of_mem hg) #align category_theory.grothendieck_topology.le_close CategoryTheory.GrothendieckTopology.le_close def IsClosed {X : C} (S : Sieve X) : Prop := ∀ ⦃Y : C⦄ (f : Y ⟶ X), J₁.Covers S f → S f #align category_theory.grothendieck_topology.is_closed CategoryTheory.GrothendieckTopology.IsClosed theorem covers_iff_mem_of_isClosed {X : C} {S : Sieve X} (h : J₁.IsClosed S) {Y : C} (f : Y ⟶ X) : J₁.Covers S f ↔ S f := ⟨h _, J₁.arrow_max _ _⟩ #align category_theory.grothendieck_topology.covers_iff_mem_of_closed CategoryTheory.GrothendieckTopology.covers_iff_mem_of_isClosed theorem isClosed_pullback {X Y : C} (f : Y ⟶ X) (S : Sieve X) : J₁.IsClosed S → J₁.IsClosed (S.pullback f) := fun hS Z g hg => hS (g ≫ f) (by rwa [J₁.covers_iff, Sieve.pullback_comp]) #align category_theory.grothendieck_topology.is_closed_pullback CategoryTheory.GrothendieckTopology.isClosed_pullback theorem le_close_of_isClosed {X : C} {S T : Sieve X} (h : S ≤ T) (hT : J₁.IsClosed T) : J₁.close S ≤ T := fun _ f hf => hT _ (J₁.superset_covering (Sieve.pullback_monotone f h) hf) #align category_theory.grothendieck_topology.le_close_of_is_closed CategoryTheory.GrothendieckTopology.le_close_of_isClosed theorem close_isClosed {X : C} (S : Sieve X) : J₁.IsClosed (J₁.close S) := fun _ g hg => J₁.arrow_trans g _ S hg fun _ hS => hS #align category_theory.grothendieck_topology.close_is_closed CategoryTheory.GrothendieckTopology.close_isClosed @[simps! isClosed] def closureOperator (X : C) : ClosureOperator (Sieve X) := .ofPred J₁.close J₁.IsClosed J₁.le_close J₁.close_isClosed fun _ _ ↦ J₁.le_close_of_isClosed #align category_theory.grothendieck_topology.closure_operator CategoryTheory.GrothendieckTopology.closureOperator #align category_theory.grothendieck_topology.closed_iff_closed CategoryTheory.GrothendieckTopology.closureOperator_isClosed theorem isClosed_iff_close_eq_self {X : C} (S : Sieve X) : J₁.IsClosed S ↔ J₁.close S = S := (J₁.closureOperator _).isClosed_iff #align category_theory.grothendieck_topology.is_closed_iff_close_eq_self CategoryTheory.GrothendieckTopology.isClosed_iff_close_eq_self theorem close_eq_self_of_isClosed {X : C} {S : Sieve X} (hS : J₁.IsClosed S) : J₁.close S = S := (J₁.isClosed_iff_close_eq_self S).1 hS #align category_theory.grothendieck_topology.close_eq_self_of_is_closed CategoryTheory.GrothendieckTopology.close_eq_self_of_isClosed theorem pullback_close {X Y : C} (f : Y ⟶ X) (S : Sieve X) : J₁.close (S.pullback f) = (J₁.close S).pullback f := by apply le_antisymm · refine J₁.le_close_of_isClosed (Sieve.pullback_monotone _ (J₁.le_close S)) ?_ apply J₁.isClosed_pullback _ _ (J₁.close_isClosed _) · intro Z g hg change _ ∈ J₁ _ rw [← Sieve.pullback_comp] apply hg #align category_theory.grothendieck_topology.pullback_close CategoryTheory.GrothendieckTopology.pullback_close @[mono] theorem monotone_close {X : C} : Monotone (J₁.close : Sieve X → Sieve X) := (J₁.closureOperator _).monotone #align category_theory.grothendieck_topology.monotone_close CategoryTheory.GrothendieckTopology.monotone_close @[simp] theorem close_close {X : C} (S : Sieve X) : J₁.close (J₁.close S) = J₁.close S := (J₁.closureOperator _).idempotent _ #align category_theory.grothendieck_topology.close_close CategoryTheory.GrothendieckTopology.close_close
Mathlib/CategoryTheory/Sites/Closed.lean
149
159
theorem close_eq_top_iff_mem {X : C} (S : Sieve X) : J₁.close S = ⊤ ↔ S ∈ J₁ X := by
constructor · intro h apply J₁.transitive (J₁.top_mem X) intro Y f hf change J₁.close S f rwa [h] · intro hS rw [eq_top_iff] intro Y f _ apply J₁.pullback_stable _ hS
0
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation #align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b" universe u1 u2 u3 variable {R M N : Type*} variable [CommRing R] [AddCommGroup M] [AddCommGroup N] variable [Module R M] [Module R N] variable (Q : QuadraticForm R M) namespace CliffordAlgebra @[elab_as_elim] theorem right_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r)) (add : ∀ x y, P x → P y → P (x + y)) (mul_ι : ∀ m x, P x → P (x * ι Q m)) : ∀ x, P x := by intro x have : x ∈ ⊤ := Submodule.mem_top (R := R) rw [← iSup_ι_range_eq_top] at this induction this using Submodule.iSup_induction' with | mem i x hx => induction hx using Submodule.pow_induction_on_right' with | algebraMap r => exact algebraMap r | add _x _y _i _ _ ihx ihy => exact add _ _ ihx ihy | mul_mem _i x _hx px m hm => obtain ⟨m, rfl⟩ := hm exact mul_ι _ _ px | zero => simpa only [map_zero] using algebraMap 0 | add _x _y _ _ ihx ihy => exact add _ _ ihx ihy #align clifford_algebra.right_induction CliffordAlgebra.right_induction @[elab_as_elim] theorem left_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r)) (add : ∀ x y, P x → P y → P (x + y)) (ι_mul : ∀ x m, P x → P (ι Q m * x)) : ∀ x, P x := by refine reverse_involutive.surjective.forall.2 ?_ intro x induction' x using CliffordAlgebra.right_induction with r x y hx hy m x hx · simpa only [reverse.commutes] using algebraMap r · simpa only [map_add] using add _ _ hx hy · simpa only [reverse.map_mul, reverse_ι] using ι_mul _ _ hx #align clifford_algebra.left_induction CliffordAlgebra.left_induction def foldr'Aux (f : M →ₗ[R] CliffordAlgebra Q × N →ₗ[R] N) : M →ₗ[R] Module.End R (CliffordAlgebra Q × N) := by have v_mul := (Algebra.lmul R (CliffordAlgebra Q)).toLinearMap ∘ₗ ι Q have l := v_mul.compl₂ (LinearMap.fst _ _ N) exact { toFun := fun m => (l m).prod (f m) map_add' := fun v₂ v₂ => LinearMap.ext fun x => Prod.ext (LinearMap.congr_fun (l.map_add _ _) x) (LinearMap.congr_fun (f.map_add _ _) x) map_smul' := fun c v => LinearMap.ext fun x => Prod.ext (LinearMap.congr_fun (l.map_smul _ _) x) (LinearMap.congr_fun (f.map_smul _ _) x) } #align clifford_algebra.foldr'_aux CliffordAlgebra.foldr'Aux theorem foldr'Aux_apply_apply (f : M →ₗ[R] CliffordAlgebra Q × N →ₗ[R] N) (m : M) (x_fx) : foldr'Aux Q f m x_fx = (ι Q m * x_fx.1, f m x_fx) := rfl #align clifford_algebra.foldr'_aux_apply_apply CliffordAlgebra.foldr'Aux_apply_apply
Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean
195
200
theorem foldr'Aux_foldr'Aux (f : M →ₗ[R] CliffordAlgebra Q × N →ₗ[R] N) (hf : ∀ m x fx, f m (ι Q m * x, f m (x, fx)) = Q m • fx) (v : M) (x_fx) : foldr'Aux Q f v (foldr'Aux Q f v x_fx) = Q v • x_fx := by
cases' x_fx with x fx simp only [foldr'Aux_apply_apply] rw [← mul_assoc, ι_sq_scalar, ← Algebra.smul_def, hf, Prod.smul_mk]
0
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support
Mathlib/Data/Finsupp/AList.lean
89
92
theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by
rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm]
0
import Batteries.Data.HashMap.Basic import Batteries.Data.Array.Lemmas import Batteries.Data.Nat.Lemmas namespace Batteries.HashMap namespace Imp attribute [-simp] Bool.not_eq_true namespace Buckets @[ext] protected theorem ext : ∀ {b₁ b₂ : Buckets α β}, b₁.1.data = b₂.1.data → b₁ = b₂ | ⟨⟨_⟩, _⟩, ⟨⟨_⟩, _⟩, rfl => rfl theorem update_data (self : Buckets α β) (i d h) : (self.update i d h).1.data = self.1.data.set i.toNat d := rfl theorem exists_of_update (self : Buckets α β) (i d h) : ∃ l₁ l₂, self.1.data = l₁ ++ self.1[i] :: l₂ ∧ List.length l₁ = i.toNat ∧ (self.update i d h).1.data = l₁ ++ d :: l₂ := by simp only [Array.data_length, Array.ugetElem_eq_getElem, Array.getElem_eq_data_get] exact List.exists_of_set' h theorem update_update (self : Buckets α β) (i d d' h h') : (self.update i d h).update i d' h' = self.update i d' h := by simp only [update, Array.uset, Array.data_length] congr 1 rw [Array.set_set] theorem size_eq (data : Buckets α β) : size data = .sum (data.1.data.map (·.toList.length)) := rfl theorem mk_size (h) : (mk n h : Buckets α β).size = 0 := by simp only [mk, mkArray, size_eq]; clear h induction n <;> simp [*]
.lake/packages/batteries/Batteries/Data/HashMap/WF.lean
42
46
theorem WF.mk' [BEq α] [Hashable α] (h) : (Buckets.mk n h : Buckets α β).WF := by
refine ⟨fun _ h => ?_, fun i h => ?_⟩ · simp only [Buckets.mk, mkArray, List.mem_replicate, ne_eq] at h simp [h, List.Pairwise.nil] · simp [Buckets.mk, empty', mkArray, Array.getElem_eq_data_get, AssocList.All]
0
import Mathlib.Algebra.Algebra.Operations import Mathlib.Algebra.Algebra.Subalgebra.Basic import Mathlib.Algebra.Ring.Subring.Pointwise import Mathlib.RingTheory.Adjoin.Basic #align_import algebra.algebra.subalgebra.pointwise from "leanprover-community/mathlib"@"b2c707cd190a58ea0565c86695a19e99ccecc215" namespace Subalgebra section Pointwise variable {R : Type*} {A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] theorem mul_toSubmodule_le (S T : Subalgebra R A) : (Subalgebra.toSubmodule S)* (Subalgebra.toSubmodule T) ≤ Subalgebra.toSubmodule (S ⊔ T) := by rw [Submodule.mul_le] intro y hy z hz show y * z ∈ S ⊔ T exact mul_mem (Algebra.mem_sup_left hy) (Algebra.mem_sup_right hz) #align subalgebra.mul_to_submodule_le Subalgebra.mul_toSubmodule_le @[simp] theorem mul_self (S : Subalgebra R A) : (Subalgebra.toSubmodule S) * (Subalgebra.toSubmodule S) = (Subalgebra.toSubmodule S) := by apply le_antisymm · refine (mul_toSubmodule_le _ _).trans_eq ?_ rw [sup_idem] · intro x hx1 rw [← mul_one x] exact Submodule.mul_mem_mul hx1 (show (1 : A) ∈ S from one_mem S) #align subalgebra.mul_self Subalgebra.mul_self
Mathlib/Algebra/Algebra/Subalgebra/Pointwise.lean
48
65
theorem mul_toSubmodule {R : Type*} {A : Type*} [CommSemiring R] [CommSemiring A] [Algebra R A] (S T : Subalgebra R A) : (Subalgebra.toSubmodule S) * (Subalgebra.toSubmodule T) = Subalgebra.toSubmodule (S ⊔ T) := by
refine le_antisymm (mul_toSubmodule_le _ _) ?_ rintro x (hx : x ∈ Algebra.adjoin R (S ∪ T : Set A)) refine Algebra.adjoin_induction hx (fun x hx => ?_) (fun r => ?_) (fun _ _ => Submodule.add_mem _) fun x y hx hy => ?_ · cases' hx with hxS hxT · rw [← mul_one x] exact Submodule.mul_mem_mul hxS (show (1 : A) ∈ T from one_mem T) · rw [← one_mul x] exact Submodule.mul_mem_mul (show (1 : A) ∈ S from one_mem S) hxT · rw [← one_mul (algebraMap _ _ _)] exact Submodule.mul_mem_mul (show (1 : A) ∈ S from one_mem S) (algebraMap_mem T _) have := Submodule.mul_mem_mul hx hy rwa [mul_assoc, mul_comm _ (Subalgebra.toSubmodule T), ← mul_assoc _ _ (Subalgebra.toSubmodule S), mul_self, mul_comm (Subalgebra.toSubmodule T), ← mul_assoc, mul_self] at this
0
import Mathlib.Algebra.Field.Subfield import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.UniformRing #align_import topology.algebra.uniform_field from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open uniformity Topology open Set UniformSpace UniformSpace.Completion Filter variable (K : Type*) [Field K] [UniformSpace K] local notation "hat" => Completion class CompletableTopField extends T0Space K : Prop where nice : ∀ F : Filter K, Cauchy F → 𝓝 0 ⊓ F = ⊥ → Cauchy (map (fun x => x⁻¹) F) #align completable_top_field CompletableTopField namespace UniformSpace namespace Completion instance (priority := 100) [T0Space K] : Nontrivial (hat K) := ⟨⟨0, 1, fun h => zero_ne_one <| (uniformEmbedding_coe K).inj h⟩⟩ variable {K} def hatInv : hat K → hat K := denseInducing_coe.extend fun x : K => (↑x⁻¹ : hat K) #align uniform_space.completion.hat_inv UniformSpace.Completion.hatInv theorem continuous_hatInv [CompletableTopField K] {x : hat K} (h : x ≠ 0) : ContinuousAt hatInv x := by refine denseInducing_coe.continuousAt_extend ?_ apply mem_of_superset (compl_singleton_mem_nhds h) intro y y_ne rw [mem_compl_singleton_iff] at y_ne apply CompleteSpace.complete have : (fun (x : K) => (↑x⁻¹: hat K)) = ((fun (y : K) => (↑y: hat K))∘(fun (x : K) => (x⁻¹ : K))) := by unfold Function.comp simp rw [this, ← Filter.map_map] apply Cauchy.map _ (Completion.uniformContinuous_coe K) apply CompletableTopField.nice · haveI := denseInducing_coe.comap_nhds_neBot y apply cauchy_nhds.comap rw [Completion.comap_coe_eq_uniformity] · have eq_bot : 𝓝 (0 : hat K) ⊓ 𝓝 y = ⊥ := by by_contra h exact y_ne (eq_of_nhds_neBot <| neBot_iff.mpr h).symm erw [denseInducing_coe.nhds_eq_comap (0 : K), ← Filter.comap_inf, eq_bot] exact comap_bot #align uniform_space.completion.continuous_hat_inv UniformSpace.Completion.continuous_hatInv instance instInvCompletion : Inv (hat K) := ⟨fun x => if x = 0 then 0 else hatInv x⟩ variable [TopologicalDivisionRing K] theorem hatInv_extends {x : K} (h : x ≠ 0) : hatInv (x : hat K) = ↑(x⁻¹ : K) := denseInducing_coe.extend_eq_at ((continuous_coe K).continuousAt.comp (continuousAt_inv₀ h)) #align uniform_space.completion.hat_inv_extends UniformSpace.Completion.hatInv_extends variable [CompletableTopField K] @[norm_cast]
Mathlib/Topology/Algebra/UniformField.lean
112
121
theorem coe_inv (x : K) : (x : hat K)⁻¹ = ((x⁻¹ : K) : hat K) := by
by_cases h : x = 0 · rw [h, inv_zero] dsimp [Inv.inv] norm_cast simp · conv_lhs => dsimp [Inv.inv] rw [if_neg] · exact hatInv_extends h · exact fun H => h (denseEmbedding_coe.inj H)
0
import Mathlib.Algebra.Polynomial.Splits import Mathlib.RingTheory.MvPolynomial.Symmetric #align_import ring_theory.polynomial.vieta from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open Polynomial namespace Multiset open Polynomial section Semiring variable {R : Type*} [CommSemiring R] theorem prod_X_add_C_eq_sum_esymm (s : Multiset R) : (s.map fun r => X + C r).prod = ∑ j ∈ Finset.range (Multiset.card s + 1), (C (s.esymm j) * X ^ (Multiset.card s - j)) := by classical rw [prod_map_add, antidiagonal_eq_map_powerset, map_map, ← bind_powerset_len, map_bind, sum_bind, Finset.sum_eq_multiset_sum, Finset.range_val, map_congr (Eq.refl _)] intro _ _ rw [esymm, ← sum_hom', ← sum_map_mul_right, map_congr (Eq.refl _)] intro s ht rw [mem_powersetCard] at ht dsimp rw [prod_hom' s (Polynomial.C : R →+* R[X])] simp [ht, map_const, prod_replicate, prod_hom', map_id', card_sub] set_option linter.uppercaseLean3 false in #align multiset.prod_X_add_C_eq_sum_esymm Multiset.prod_X_add_C_eq_sum_esymm theorem prod_X_add_C_coeff (s : Multiset R) {k : ℕ} (h : k ≤ Multiset.card s) : (s.map fun r => X + C r).prod.coeff k = s.esymm (Multiset.card s - k) := by convert Polynomial.ext_iff.mp (prod_X_add_C_eq_sum_esymm s) k using 1 simp_rw [finset_sum_coeff, coeff_C_mul_X_pow] rw [Finset.sum_eq_single_of_mem (Multiset.card s - k) _] · rw [if_pos (Nat.sub_sub_self h).symm] · intro j hj1 hj2 suffices k ≠ card s - j by rw [if_neg this] intro hn rw [hn, Nat.sub_sub_self (Nat.lt_succ_iff.mp (Finset.mem_range.mp hj1))] at hj2 exact Ne.irrefl hj2 · rw [Finset.mem_range] exact Nat.lt_succ_of_le (Nat.sub_le (Multiset.card s) k) set_option linter.uppercaseLean3 false in #align multiset.prod_X_add_C_coeff Multiset.prod_X_add_C_coeff theorem prod_X_add_C_coeff' {σ} (s : Multiset σ) (r : σ → R) {k : ℕ} (h : k ≤ Multiset.card s) : (s.map fun i => X + C (r i)).prod.coeff k = (s.map r).esymm (Multiset.card s - k) := by erw [← map_map (fun r => X + C r) r, prod_X_add_C_coeff] <;> rw [s.card_map r]; assumption set_option linter.uppercaseLean3 false in #align multiset.prod_X_add_C_coeff' Multiset.prod_X_add_C_coeff'
Mathlib/RingTheory/Polynomial/Vieta.lean
81
84
theorem _root_.Finset.prod_X_add_C_coeff {σ} (s : Finset σ) (r : σ → R) {k : ℕ} (h : k ≤ s.card) : (∏ i ∈ s, (X + C (r i))).coeff k = ∑ t ∈ s.powersetCard (s.card - k), ∏ i ∈ t, r i := by
rw [Finset.prod, prod_X_add_C_coeff' _ r h, Finset.esymm_map_val] rfl
0
import Mathlib.Algebra.Lie.Nilpotent import Mathlib.Algebra.Lie.Normalizer #align_import algebra.lie.cartan_subalgebra from "leanprover-community/mathlib"@"938fead7abdc0cbbca8eba7a1052865a169dc102" universe u v w w₁ w₂ variable {R : Type u} {L : Type v} variable [CommRing R] [LieRing L] [LieAlgebra R L] (H : LieSubalgebra R L) def LieSubmodule.IsUcsLimit {M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] (N : LieSubmodule R L M) : Prop := ∃ k, ∀ l, k ≤ l → (⊥ : LieSubmodule R L M).ucs l = N #align lie_submodule.is_ucs_limit LieSubmodule.IsUcsLimit @[simp]
Mathlib/Algebra/Lie/CartanSubalgebra.lean
114
118
theorem LieIdeal.normalizer_eq_top {R : Type u} {L : Type v} [CommRing R] [LieRing L] [LieAlgebra R L] (I : LieIdeal R L) : (I : LieSubalgebra R L).normalizer = ⊤ := by
ext x simpa only [LieSubalgebra.mem_normalizer_iff, LieSubalgebra.mem_top, iff_true_iff] using fun y hy => I.lie_mem hy
0
import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0 theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring #align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) : HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1 rw [id, mul_one] #align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by by_cases hK : K = 0 · simp only [gronwallBound, if_pos hK, mul_zero, add_zero] · simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] #align gronwall_bound_x0 gronwallBound_x0 theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] · simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero] #align gronwall_bound_ε0 gronwallBound_ε0 theorem gronwallBound_ε0_δ0 (K x : ℝ) : gronwallBound 0 K 0 x = 0 := by simp only [gronwallBound_ε0, zero_mul] #align gronwall_bound_ε0_δ0 gronwallBound_ε0_δ0 theorem gronwallBound_continuous_ε (δ K x : ℝ) : Continuous fun ε => gronwallBound δ K ε x := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK] exact continuous_const.add (continuous_id.mul continuous_const) · simp only [gronwallBound_of_K_ne_0 hK] exact continuous_const.add ((continuous_id.mul continuous_const).mul continuous_const) #align gronwall_bound_continuous_ε gronwallBound_continuous_ε
Mathlib/Analysis/ODE/Gronwall.lean
113
132
theorem le_gronwallBound_of_liminf_deriv_right_le {f f' : ℝ → ℝ} {δ K ε : ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, (z - x)⁻¹ * (f z - f x) < r) (ha : f a ≤ δ) (bound : ∀ x ∈ Ico a b, f' x ≤ K * f x + ε) : ∀ x ∈ Icc a b, f x ≤ gronwallBound δ K ε (x - a) := by
have H : ∀ x ∈ Icc a b, ∀ ε' ∈ Ioi ε, f x ≤ gronwallBound δ K ε' (x - a) := by intro x hx ε' hε' apply image_le_of_liminf_slope_right_lt_deriv_boundary hf hf' · rwa [sub_self, gronwallBound_x0] · exact fun x => hasDerivAt_gronwallBound_shift δ K ε' x a · intro x hx hfB rw [← hfB] apply lt_of_le_of_lt (bound x hx) exact add_lt_add_left (mem_Ioi.1 hε') _ · exact hx intro x hx change f x ≤ (fun ε' => gronwallBound δ K ε' (x - a)) ε convert continuousWithinAt_const.closure_le _ _ (H x hx) · simp only [closure_Ioi, left_mem_Ici] exact (gronwallBound_continuous_ε δ K (x - a)).continuousWithinAt
0
import Mathlib.Dynamics.FixedPoints.Basic import Mathlib.Order.Hom.Order #align_import order.fixed_points from "leanprover-community/mathlib"@"ba2245edf0c8bb155f1569fd9b9492a9b384cde6" universe u v w variable {α : Type u} {β : Type v} {γ : Type w} open Function (fixedPoints IsFixedPt) namespace OrderHom section Basic variable [CompleteLattice α] (f : α →o α) def lfp : (α →o α) →o α where toFun f := sInf { a | f a ≤ a } monotone' _ _ hle := sInf_le_sInf fun a ha => (hle a).trans ha #align order_hom.lfp OrderHom.lfp def gfp : (α →o α) →o α where toFun f := sSup { a | a ≤ f a } monotone' _ _ hle := sSup_le_sSup fun a ha => le_trans ha (hle a) #align order_hom.gfp OrderHom.gfp theorem lfp_le {a : α} (h : f a ≤ a) : lfp f ≤ a := sInf_le h #align order_hom.lfp_le OrderHom.lfp_le theorem lfp_le_fixed {a : α} (h : f a = a) : lfp f ≤ a := f.lfp_le h.le #align order_hom.lfp_le_fixed OrderHom.lfp_le_fixed theorem le_lfp {a : α} (h : ∀ b, f b ≤ b → a ≤ b) : a ≤ lfp f := le_sInf h #align order_hom.le_lfp OrderHom.le_lfp -- Porting note: for the rest of the file, replace the dot notation `_.lfp` with `lfp _` -- same for `_.gfp`, `_.dual` -- Probably related to https://github.com/leanprover/lean4/issues/1910 theorem map_le_lfp {a : α} (ha : a ≤ lfp f) : f a ≤ lfp f := f.le_lfp fun _ hb => (f.mono <| le_sInf_iff.1 ha _ hb).trans hb #align order_hom.map_le_lfp OrderHom.map_le_lfp @[simp] theorem map_lfp : f (lfp f) = lfp f := have h : f (lfp f) ≤ lfp f := f.map_le_lfp le_rfl h.antisymm <| f.lfp_le <| f.mono h #align order_hom.map_lfp OrderHom.map_lfp theorem isFixedPt_lfp : IsFixedPt f (lfp f) := f.map_lfp #align order_hom.is_fixed_pt_lfp OrderHom.isFixedPt_lfp theorem lfp_le_map {a : α} (ha : lfp f ≤ a) : lfp f ≤ f a := calc lfp f = f (lfp f) := f.map_lfp.symm _ ≤ f a := f.mono ha #align order_hom.lfp_le_map OrderHom.lfp_le_map theorem isLeast_lfp_le : IsLeast { a | f a ≤ a } (lfp f) := ⟨f.map_lfp.le, fun _ => f.lfp_le⟩ #align order_hom.is_least_lfp_le OrderHom.isLeast_lfp_le theorem isLeast_lfp : IsLeast (fixedPoints f) (lfp f) := ⟨f.isFixedPt_lfp, fun _ => f.lfp_le_fixed⟩ #align order_hom.is_least_lfp OrderHom.isLeast_lfp_le
Mathlib/Order/FixedPoints.lean
100
107
theorem lfp_induction {p : α → Prop} (step : ∀ a, p a → a ≤ lfp f → p (f a)) (hSup : ∀ s, (∀ a ∈ s, p a) → p (sSup s)) : p (lfp f) := by
set s := { a | a ≤ lfp f ∧ p a } specialize hSup s fun a => And.right suffices sSup s = lfp f from this ▸ hSup have h : sSup s ≤ lfp f := sSup_le fun b => And.left have hmem : f (sSup s) ∈ s := ⟨f.map_le_lfp h, step _ hSup h⟩ exact h.antisymm (f.lfp_le <| le_sSup hmem)
0
import Mathlib.Algebra.PUnitInstances import Mathlib.Tactic.Abel import Mathlib.Tactic.Ring import Mathlib.Order.Hom.Lattice #align_import algebra.ring.boolean_ring from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open scoped symmDiff variable {α β γ : Type*} class BooleanRing (α) extends Ring α where mul_self : ∀ a : α, a * a = a #align boolean_ring BooleanRing section BooleanRing variable [BooleanRing α] (a b : α) instance : Std.IdempotentOp (α := α) (· * ·) := ⟨BooleanRing.mul_self⟩ @[simp] theorem mul_self : a * a = a := BooleanRing.mul_self _ #align mul_self mul_self @[simp] theorem add_self : a + a = 0 := by have : a + a = a + a + (a + a) := calc a + a = (a + a) * (a + a) := by rw [mul_self] _ = a * a + a * a + (a * a + a * a) := by rw [add_mul, mul_add] _ = a + a + (a + a) := by rw [mul_self] rwa [self_eq_add_left] at this #align add_self add_self @[simp]
Mathlib/Algebra/Ring/BooleanRing.lean
76
80
theorem neg_eq : -a = a := calc -a = -a + 0 := by
rw [add_zero] _ = -a + -a + a := by rw [← neg_add_self, add_assoc] _ = a := by rw [add_self, zero_add]
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 namespace coveringOfPresieve variable (U : Opens X) (R : Presieve U)
Mathlib/Topology/Sheaves/SheafCondition/Sites.lean
58
67
theorem iSup_eq_of_mem_grothendieck (hR : Sieve.generate R ∈ Opens.grothendieckTopology X U) : iSup (coveringOfPresieve U R) = U := by
apply le_antisymm · refine iSup_le ?_ intro f exact f.2.1.le intro x hxU rw [Opens.coe_iSup, Set.mem_iUnion] obtain ⟨V, iVU, ⟨W, iVW, iWU, hiWU, -⟩, hxV⟩ := hR x hxU exact ⟨⟨W, ⟨iWU, hiWU⟩⟩, iVW.le hxV⟩
0
import Mathlib.Algebra.BigOperators.Group.Multiset import Mathlib.Data.Multiset.Dedup #align_import data.multiset.bind from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" assert_not_exists MonoidWithZero assert_not_exists MulAction universe v variable {α : Type*} {β : Type v} {γ δ : Type*} namespace Multiset def join : Multiset (Multiset α) → Multiset α := sum #align multiset.join Multiset.join theorem coe_join : ∀ L : List (List α), join (L.map ((↑) : List α → Multiset α) : Multiset (Multiset α)) = L.join | [] => rfl | l :: L => by exact congr_arg (fun s : Multiset α => ↑l + s) (coe_join L) #align multiset.coe_join Multiset.coe_join @[simp] theorem join_zero : @join α 0 = 0 := rfl #align multiset.join_zero Multiset.join_zero @[simp] theorem join_cons (s S) : @join α (s ::ₘ S) = s + join S := sum_cons _ _ #align multiset.join_cons Multiset.join_cons @[simp] theorem join_add (S T) : @join α (S + T) = join S + join T := sum_add _ _ #align multiset.join_add Multiset.join_add @[simp] theorem singleton_join (a) : join ({a} : Multiset (Multiset α)) = a := sum_singleton _ #align multiset.singleton_join Multiset.singleton_join @[simp] theorem mem_join {a S} : a ∈ @join α S ↔ ∃ s ∈ S, a ∈ s := Multiset.induction_on S (by simp) <| by simp (config := { contextual := true }) [or_and_right, exists_or] #align multiset.mem_join Multiset.mem_join @[simp] theorem card_join (S) : card (@join α S) = sum (map card S) := Multiset.induction_on S (by simp) (by simp) #align multiset.card_join Multiset.card_join @[simp] theorem map_join (f : α → β) (S : Multiset (Multiset α)) : map f (join S) = join (map (map f) S) := by induction S using Multiset.induction with | empty => simp | cons _ _ ih => simp [ih] @[to_additive (attr := simp)] theorem prod_join [CommMonoid α] {S : Multiset (Multiset α)} : prod (join S) = prod (map prod S) := by induction S using Multiset.induction with | empty => simp | cons _ _ ih => simp [ih] theorem rel_join {r : α → β → Prop} {s t} (h : Rel (Rel r) s t) : Rel r s.join t.join := by induction h with | zero => simp | cons hab hst ih => simpa using hab.add ih #align multiset.rel_join Multiset.rel_join section Bind variable (a : α) (s t : Multiset α) (f g : α → Multiset β) def bind (s : Multiset α) (f : α → Multiset β) : Multiset β := (s.map f).join #align multiset.bind Multiset.bind @[simp] theorem coe_bind (l : List α) (f : α → List β) : (@bind α β l fun a => f a) = l.bind f := by rw [List.bind, ← coe_join, List.map_map] rfl #align multiset.coe_bind Multiset.coe_bind @[simp] theorem zero_bind : bind 0 f = 0 := rfl #align multiset.zero_bind Multiset.zero_bind @[simp] theorem cons_bind : (a ::ₘ s).bind f = f a + s.bind f := by simp [bind] #align multiset.cons_bind Multiset.cons_bind @[simp] theorem singleton_bind : bind {a} f = f a := by simp [bind] #align multiset.singleton_bind Multiset.singleton_bind @[simp] theorem add_bind : (s + t).bind f = s.bind f + t.bind f := by simp [bind] #align multiset.add_bind Multiset.add_bind @[simp]
Mathlib/Data/Multiset/Bind.lean
138
138
theorem bind_zero : s.bind (fun _ => 0 : α → Multiset β) = 0 := by
simp [bind, join, nsmul_zero]
0
import Mathlib.ModelTheory.Ultraproducts import Mathlib.ModelTheory.Bundled import Mathlib.ModelTheory.Skolem #align_import model_theory.satisfiability from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728" set_option linter.uppercaseLean3 false universe u v w w' open Cardinal CategoryTheory open Cardinal FirstOrder namespace FirstOrder namespace Language variable {L : Language.{u, v}} {T : L.Theory} {α : Type w} {n : ℕ} namespace Theory variable (T) def IsSatisfiable : Prop := Nonempty (ModelType.{u, v, max u v} T) #align first_order.language.Theory.is_satisfiable FirstOrder.Language.Theory.IsSatisfiable def IsFinitelySatisfiable : Prop := ∀ T0 : Finset L.Sentence, (T0 : L.Theory) ⊆ T → IsSatisfiable (T0 : L.Theory) #align first_order.language.Theory.is_finitely_satisfiable FirstOrder.Language.Theory.IsFinitelySatisfiable variable {T} {T' : L.Theory} theorem Model.isSatisfiable (M : Type w) [Nonempty M] [L.Structure M] [M ⊨ T] : T.IsSatisfiable := ⟨((⊥ : Substructure _ (ModelType.of T M)).elementarySkolem₁Reduct.toModel T).shrink⟩ #align first_order.language.Theory.model.is_satisfiable FirstOrder.Language.Theory.Model.isSatisfiable theorem IsSatisfiable.mono (h : T'.IsSatisfiable) (hs : T ⊆ T') : T.IsSatisfiable := ⟨(Theory.Model.mono (ModelType.is_model h.some) hs).bundled⟩ #align first_order.language.Theory.is_satisfiable.mono FirstOrder.Language.Theory.IsSatisfiable.mono theorem isSatisfiable_empty (L : Language.{u, v}) : IsSatisfiable (∅ : L.Theory) := ⟨default⟩ #align first_order.language.Theory.is_satisfiable_empty FirstOrder.Language.Theory.isSatisfiable_empty theorem isSatisfiable_of_isSatisfiable_onTheory {L' : Language.{w, w'}} (φ : L →ᴸ L') (h : (φ.onTheory T).IsSatisfiable) : T.IsSatisfiable := Model.isSatisfiable (h.some.reduct φ) #align first_order.language.Theory.is_satisfiable_of_is_satisfiable_on_Theory FirstOrder.Language.Theory.isSatisfiable_of_isSatisfiable_onTheory
Mathlib/ModelTheory/Satisfiability.lean
93
98
theorem isSatisfiable_onTheory_iff {L' : Language.{w, w'}} {φ : L →ᴸ L'} (h : φ.Injective) : (φ.onTheory T).IsSatisfiable ↔ T.IsSatisfiable := by
classical refine ⟨isSatisfiable_of_isSatisfiable_onTheory φ, fun h' => ?_⟩ haveI : Inhabited h'.some := Classical.inhabited_of_nonempty' exact Model.isSatisfiable (h'.some.defaultExpansion h)
0
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Dynamics.BirkhoffSum.NormedSpace open Filter Finset Function Bornology open scoped Topology variable {𝕜 E : Type*} [RCLike 𝕜] [NormedAddCommGroup E]
Mathlib/Analysis/InnerProductSpace/MeanErgodic.lean
43
71
theorem LinearMap.tendsto_birkhoffAverage_of_ker_subset_closure [NormedSpace 𝕜 E] (f : E →ₗ[𝕜] E) (hf : LipschitzWith 1 f) (g : E →L[𝕜] LinearMap.eqLocus f 1) (hg_proj : ∀ x : LinearMap.eqLocus f 1, g x = x) (hg_ker : (LinearMap.ker g : Set E) ⊆ closure (LinearMap.range (f - 1))) (x : E) : Tendsto (birkhoffAverage 𝕜 f _root_.id · x) atTop (𝓝 (g x)) := by
/- Any point can be represented as a sum of `y ∈ LinearMap.ker g` and a fixed point `z`. -/ obtain ⟨y, hy, z, hz, rfl⟩ : ∃ y, g y = 0 ∧ ∃ z, IsFixedPt f z ∧ x = y + z := ⟨x - g x, by simp [hg_proj], g x, (g x).2, by simp⟩ /- For a fixed point, the theorem is trivial, so it suffices to prove it for `y ∈ LinearMap.ker g`. -/ suffices Tendsto (birkhoffAverage 𝕜 f _root_.id · y) atTop (𝓝 0) by have hgz : g z = z := congr_arg Subtype.val (hg_proj ⟨z, hz⟩) simpa [hy, hgz, birkhoffAverage, birkhoffSum, Finset.sum_add_distrib, smul_add] using this.add (hz.tendsto_birkhoffAverage 𝕜 _root_.id) /- By continuity, it suffices to prove the theorem on a dense subset of `LinearMap.ker g`. By assumption, `LinearMap.range (f - 1)` is dense in the kernel of `g`, so it suffices to prove the theorem for `y = f x - x`. -/ have : IsClosed {x | Tendsto (birkhoffAverage 𝕜 f _root_.id · x) atTop (𝓝 0)} := isClosed_setOf_tendsto_birkhoffAverage 𝕜 hf uniformContinuous_id continuous_const refine closure_minimal (Set.forall_mem_range.2 fun x ↦ ?_) this (hg_ker hy) /- Finally, for `y = f x - x` the average is equal to the difference between averages along the orbits of `f x` and `x`, and most of the terms cancel. -/ have : IsBounded (Set.range (_root_.id <| f^[·] x)) := isBounded_iff_forall_norm_le.2 ⟨‖x‖, Set.forall_mem_range.2 fun n ↦ by have H : f^[n] 0 = 0 := iterate_map_zero (f : E →+ E) n simpa [H] using (hf.iterate n).dist_le_mul x 0⟩ have H : ∀ n x y, f^[n] (x - y) = f^[n] x - f^[n] y := iterate_map_sub (f : E →+ E) simpa [birkhoffAverage, birkhoffSum, Finset.sum_sub_distrib, smul_sub, H] using tendsto_birkhoffAverage_apply_sub_birkhoffAverage 𝕜 this
0
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Basic import Mathlib.Topology.NoetherianSpace #align_import algebraic_geometry.prime_spectrum.noetherian from "leanprover-community/mathlib"@"052f6013363326d50cb99c6939814a4b8eb7b301" universe u v namespace PrimeSpectrum open Submodule variable (R : Type u) [CommRing R] [IsNoetherianRing R] variable {A : Type u} [CommRing A] [IsDomain A] [IsNoetherianRing A] theorem exists_primeSpectrum_prod_le (I : Ideal R) : ∃ Z : Multiset (PrimeSpectrum R), Multiset.prod (Z.map asIdeal) ≤ I := by -- Porting note: Need to specify `P` explicitly refine IsNoetherian.induction (P := fun I => ∃ Z : Multiset (PrimeSpectrum R), Multiset.prod (Z.map asIdeal) ≤ I) (fun (M : Ideal R) hgt => ?_) I by_cases h_prM : M.IsPrime · use {⟨M, h_prM⟩} rw [Multiset.map_singleton, Multiset.prod_singleton] by_cases htop : M = ⊤ · rw [htop] exact ⟨0, le_top⟩ have lt_add : ∀ z ∉ M, M < M + span R {z} := by intro z hz refine lt_of_le_of_ne le_sup_left fun m_eq => hz ?_ rw [m_eq] exact Ideal.mem_sup_right (mem_span_singleton_self z) obtain ⟨x, hx, y, hy, hxy⟩ := (Ideal.not_isPrime_iff.mp h_prM).resolve_left htop obtain ⟨Wx, h_Wx⟩ := hgt (M + span R {x}) (lt_add _ hx) obtain ⟨Wy, h_Wy⟩ := hgt (M + span R {y}) (lt_add _ hy) use Wx + Wy rw [Multiset.map_add, Multiset.prod_add] apply le_trans (Submodule.mul_le_mul h_Wx h_Wy) rw [add_mul] apply sup_le (show M * (M + span R {y}) ≤ M from Ideal.mul_le_right) rw [mul_add] apply sup_le (show span R {x} * M ≤ M from Ideal.mul_le_left) rwa [span_mul_span, Set.singleton_mul_singleton, span_singleton_le_iff_mem] #align prime_spectrum.exists_prime_spectrum_prod_le PrimeSpectrum.exists_primeSpectrum_prod_le
Mathlib/AlgebraicGeometry/PrimeSpectrum/Noetherian.lean
60
97
theorem exists_primeSpectrum_prod_le_and_ne_bot_of_domain (h_fA : ¬IsField A) {I : Ideal A} (h_nzI : I ≠ ⊥) : ∃ Z : Multiset (PrimeSpectrum A), Multiset.prod (Z.map asIdeal) ≤ I ∧ Multiset.prod (Z.map asIdeal) ≠ ⊥ := by
revert h_nzI -- Porting note: Need to specify `P` explicitly refine IsNoetherian.induction (P := fun I => I ≠ ⊥ → ∃ Z : Multiset (PrimeSpectrum A), Multiset.prod (Z.map asIdeal) ≤ I ∧ Multiset.prod (Z.map asIdeal) ≠ ⊥) (fun (M : Ideal A) hgt => ?_) I intro h_nzM have hA_nont : Nontrivial A := IsDomain.toNontrivial by_cases h_topM : M = ⊤ · rcases h_topM with rfl obtain ⟨p_id, h_nzp, h_pp⟩ : ∃ p : Ideal A, p ≠ ⊥ ∧ p.IsPrime := by apply Ring.not_isField_iff_exists_prime.mp h_fA use ({⟨p_id, h_pp⟩} : Multiset (PrimeSpectrum A)), le_top rwa [Multiset.map_singleton, Multiset.prod_singleton] by_cases h_prM : M.IsPrime · use ({⟨M, h_prM⟩} : Multiset (PrimeSpectrum A)) rw [Multiset.map_singleton, Multiset.prod_singleton] exact ⟨le_rfl, h_nzM⟩ obtain ⟨x, hx, y, hy, h_xy⟩ := (Ideal.not_isPrime_iff.mp h_prM).resolve_left h_topM have lt_add : ∀ z ∉ M, M < M + span A {z} := by intro z hz refine lt_of_le_of_ne le_sup_left fun m_eq => hz ?_ rw [m_eq] exact mem_sup_right (mem_span_singleton_self z) obtain ⟨Wx, h_Wx_le, h_Wx_ne⟩ := hgt (M + span A {x}) (lt_add _ hx) (ne_bot_of_gt (lt_add _ hx)) obtain ⟨Wy, h_Wy_le, h_Wx_ne⟩ := hgt (M + span A {y}) (lt_add _ hy) (ne_bot_of_gt (lt_add _ hy)) use Wx + Wy rw [Multiset.map_add, Multiset.prod_add] refine ⟨le_trans (Submodule.mul_le_mul h_Wx_le h_Wy_le) ?_, mt Ideal.mul_eq_bot.mp ?_⟩ · rw [add_mul] apply sup_le (show M * (M + span A {y}) ≤ M from Ideal.mul_le_right) rw [mul_add] apply sup_le (show span A {x} * M ≤ M from Ideal.mul_le_left) rwa [span_mul_span, Set.singleton_mul_singleton, span_singleton_le_iff_mem] · rintro (hx | hy) <;> contradiction
0
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Integral.Layercake #align_import analysis.special_functions.japanese_bracket from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open scoped NNReal Filter Topology ENNReal open Asymptotics Filter Set Real MeasureTheory FiniteDimensional variable {E : Type*} [NormedAddCommGroup E] theorem sqrt_one_add_norm_sq_le (x : E) : √((1 : ℝ) + ‖x‖ ^ 2) ≤ 1 + ‖x‖ := by rw [sqrt_le_left (by positivity)] simp [add_sq] #align sqrt_one_add_norm_sq_le sqrt_one_add_norm_sq_le theorem one_add_norm_le_sqrt_two_mul_sqrt (x : E) : (1 : ℝ) + ‖x‖ ≤ √2 * √(1 + ‖x‖ ^ 2) := by rw [← sqrt_mul zero_le_two] have := sq_nonneg (‖x‖ - 1) apply le_sqrt_of_sq_le linarith #align one_add_norm_le_sqrt_two_mul_sqrt one_add_norm_le_sqrt_two_mul_sqrt
Mathlib/Analysis/SpecialFunctions/JapaneseBracket.lean
49
59
theorem rpow_neg_one_add_norm_sq_le {r : ℝ} (x : E) (hr : 0 < r) : ((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2) ≤ (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) := calc ((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2) = (2 : ℝ) ^ (r / 2) * ((√2 * √((1 : ℝ) + ‖x‖ ^ 2)) ^ r)⁻¹ := by
rw [rpow_div_two_eq_sqrt, rpow_div_two_eq_sqrt, mul_rpow, mul_inv, rpow_neg, mul_inv_cancel_left₀] <;> positivity _ ≤ (2 : ℝ) ^ (r / 2) * ((1 + ‖x‖) ^ r)⁻¹ := by gcongr apply one_add_norm_le_sqrt_two_mul_sqrt _ = (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) := by rw [rpow_neg]; positivity
0
import Mathlib.RingTheory.WittVector.Identities #align_import ring_theory.witt_vector.domain from "leanprover-community/mathlib"@"b1d911acd60ab198808e853292106ee352b648ea" noncomputable section open scoped Classical namespace WittVector open Function variable {p : ℕ} {R : Type*} local notation "𝕎" => WittVector p -- type as `\bbW` def shift (x : 𝕎 R) (n : ℕ) : 𝕎 R := @mk' p R fun i => x.coeff (n + i) #align witt_vector.shift WittVector.shift theorem shift_coeff (x : 𝕎 R) (n k : ℕ) : (x.shift n).coeff k = x.coeff (n + k) := rfl #align witt_vector.shift_coeff WittVector.shift_coeff variable [hp : Fact p.Prime] [CommRing R] theorem verschiebung_shift (x : 𝕎 R) (k : ℕ) (h : ∀ i < k + 1, x.coeff i = 0) : verschiebung (x.shift k.succ) = x.shift k := by ext ⟨j⟩ · rw [verschiebung_coeff_zero, shift_coeff, h] apply Nat.lt_succ_self · simp only [verschiebung_coeff_succ, shift] congr 1 rw [Nat.add_succ, add_comm, Nat.add_succ, add_comm] #align witt_vector.verschiebung_shift WittVector.verschiebung_shift theorem eq_iterate_verschiebung {x : 𝕎 R} {n : ℕ} (h : ∀ i < n, x.coeff i = 0) : x = verschiebung^[n] (x.shift n) := by induction' n with k ih · cases x; simp [shift] · dsimp; rw [verschiebung_shift] · exact ih fun i hi => h _ (hi.trans (Nat.lt_succ_self _)) · exact h #align witt_vector.eq_iterate_verschiebung WittVector.eq_iterate_verschiebung
Mathlib/RingTheory/WittVector/Domain.lean
88
98
theorem verschiebung_nonzero {x : 𝕎 R} (hx : x ≠ 0) : ∃ n : ℕ, ∃ x' : 𝕎 R, x'.coeff 0 ≠ 0 ∧ x = verschiebung^[n] x' := by
have hex : ∃ k : ℕ, x.coeff k ≠ 0 := by by_contra! hall apply hx ext i simp only [hall, zero_coeff] let n := Nat.find hex use n, x.shift n refine ⟨Nat.find_spec hex, eq_iterate_verschiebung fun i hi => not_not.mp ?_⟩ exact Nat.find_min hex hi
0
import Mathlib.Algebra.Polynomial.UnitTrinomial import Mathlib.RingTheory.Polynomial.GaussLemma import Mathlib.Tactic.LinearCombination #align_import ring_theory.polynomial.selmer from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Polynomial open scoped Polynomial variable {n : ℕ}
Mathlib/RingTheory/Polynomial/Selmer.lean
31
45
theorem X_pow_sub_X_sub_one_irreducible_aux (z : ℂ) : ¬(z ^ n = z + 1 ∧ z ^ n + z ^ 2 = 0) := by
rintro ⟨h1, h2⟩ replace h3 : z ^ 3 = 1 := by linear_combination (1 - z - z ^ 2 - z ^ n) * h1 + (z ^ n - 2) * h2 have key : z ^ n = 1 ∨ z ^ n = z ∨ z ^ n = z ^ 2 := by rw [← Nat.mod_add_div n 3, pow_add, pow_mul, h3, one_pow, mul_one] have : n % 3 < 3 := Nat.mod_lt n zero_lt_three interval_cases n % 3 <;> simp only [this, pow_zero, pow_one, eq_self_iff_true, or_true_iff, true_or_iff] have z_ne_zero : z ≠ 0 := fun h => zero_ne_one ((zero_pow three_ne_zero).symm.trans (show (0 : ℂ) ^ 3 = 1 from h ▸ h3)) rcases key with (key | key | key) · exact z_ne_zero (by rwa [key, self_eq_add_left] at h1) · exact one_ne_zero (by rwa [key, self_eq_add_right] at h1) · exact z_ne_zero (pow_eq_zero (by rwa [key, add_self_eq_zero] at h2))
0
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace #align_import linear_algebra.affine_space.restrict from "leanprover-community/mathlib"@"09258fb7f75d741b7eda9fa18d5c869e2135d9f1" variable {k V₁ P₁ V₂ P₂ : Type*} [Ring k] [AddCommGroup V₁] [AddCommGroup V₂] [Module k V₁] [Module k V₂] [AddTorsor V₁ P₁] [AddTorsor V₂ P₂] -- not an instance because it loops with `Nonempty` theorem AffineSubspace.nonempty_map {E : AffineSubspace k P₁} [Ene : Nonempty E] {φ : P₁ →ᵃ[k] P₂} : Nonempty (E.map φ) := by obtain ⟨x, hx⟩ := id Ene exact ⟨⟨φ x, AffineSubspace.mem_map.mpr ⟨x, hx, rfl⟩⟩⟩ #align affine_subspace.nonempty_map AffineSubspace.nonempty_map -- Porting note: removed "local nolint fails_quickly" attribute attribute [local instance] AffineSubspace.nonempty_map AffineSubspace.toAddTorsor def AffineMap.restrict (φ : P₁ →ᵃ[k] P₂) {E : AffineSubspace k P₁} {F : AffineSubspace k P₂} [Nonempty E] [Nonempty F] (hEF : E.map φ ≤ F) : E →ᵃ[k] F := by refine ⟨?_, ?_, ?_⟩ · exact fun x => ⟨φ x, hEF <| AffineSubspace.mem_map.mpr ⟨x, x.property, rfl⟩⟩ · refine φ.linear.restrict (?_ : E.direction ≤ F.direction.comap φ.linear) rw [← Submodule.map_le_iff_le_comap, ← AffineSubspace.map_direction] exact AffineSubspace.direction_le hEF · intro p v simp only [Subtype.ext_iff, Subtype.coe_mk, AffineSubspace.coe_vadd] apply AffineMap.map_vadd #align affine_map.restrict AffineMap.restrict theorem AffineMap.restrict.coe_apply (φ : P₁ →ᵃ[k] P₂) {E : AffineSubspace k P₁} {F : AffineSubspace k P₂} [Nonempty E] [Nonempty F] (hEF : E.map φ ≤ F) (x : E) : ↑(φ.restrict hEF x) = φ x := rfl #align affine_map.restrict.coe_apply AffineMap.restrict.coe_apply theorem AffineMap.restrict.linear_aux {φ : P₁ →ᵃ[k] P₂} {E : AffineSubspace k P₁} {F : AffineSubspace k P₂} (hEF : E.map φ ≤ F) : E.direction ≤ F.direction.comap φ.linear := by rw [← Submodule.map_le_iff_le_comap, ← AffineSubspace.map_direction] exact AffineSubspace.direction_le hEF #align affine_map.restrict.linear_aux AffineMap.restrict.linear_aux theorem AffineMap.restrict.linear (φ : P₁ →ᵃ[k] P₂) {E : AffineSubspace k P₁} {F : AffineSubspace k P₂} [Nonempty E] [Nonempty F] (hEF : E.map φ ≤ F) : (φ.restrict hEF).linear = φ.linear.restrict (AffineMap.restrict.linear_aux hEF) := rfl #align affine_map.restrict.linear AffineMap.restrict.linear theorem AffineMap.restrict.injective {φ : P₁ →ᵃ[k] P₂} (hφ : Function.Injective φ) {E : AffineSubspace k P₁} {F : AffineSubspace k P₂} [Nonempty E] [Nonempty F] (hEF : E.map φ ≤ F) : Function.Injective (AffineMap.restrict φ hEF) := by intro x y h simp only [Subtype.ext_iff, Subtype.coe_mk, AffineMap.restrict.coe_apply] at h ⊢ exact hφ h #align affine_map.restrict.injective AffineMap.restrict.injective
Mathlib/LinearAlgebra/AffineSpace/Restrict.lean
81
87
theorem AffineMap.restrict.surjective (φ : P₁ →ᵃ[k] P₂) {E : AffineSubspace k P₁} {F : AffineSubspace k P₂} [Nonempty E] [Nonempty F] (h : E.map φ = F) : Function.Surjective (AffineMap.restrict φ (le_of_eq h)) := by
rintro ⟨x, hx : x ∈ F⟩ rw [← h, AffineSubspace.mem_map] at hx obtain ⟨y, hy, rfl⟩ := hx exact ⟨⟨y, hy⟩, rfl⟩
0
import Mathlib.Algebra.Order.Ring.Nat import Mathlib.Data.List.Chain #align_import data.bool.count from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" namespace List @[simp] theorem count_not_add_count (l : List Bool) (b : Bool) : count (!b) l + count b l = length l := by -- Porting note: Proof re-written -- Old proof: simp only [length_eq_countP_add_countP (Eq (!b)), Bool.not_not_eq, count] simp only [length_eq_countP_add_countP (· == !b), count, add_right_inj] suffices (fun x => x == b) = (fun a => decide ¬(a == !b) = true) by rw [this] ext x; cases x <;> cases b <;> rfl #align list.count_bnot_add_count List.count_not_add_count @[simp] theorem count_add_count_not (l : List Bool) (b : Bool) : count b l + count (!b) l = length l := by rw [add_comm, count_not_add_count] #align list.count_add_count_bnot List.count_add_count_not @[simp] theorem count_false_add_count_true (l : List Bool) : count false l + count true l = length l := count_not_add_count l true #align list.count_ff_add_count_tt List.count_false_add_count_true @[simp] theorem count_true_add_count_false (l : List Bool) : count true l + count false l = length l := count_not_add_count l false #align list.count_tt_add_count_ff List.count_true_add_count_false theorem Chain.count_not : ∀ {b : Bool} {l : List Bool}, Chain (· ≠ ·) b l → count (!b) l = count b l + length l % 2 | b, [], _h => rfl | b, x :: l, h => by obtain rfl : b = !x := Bool.eq_not_iff.2 (rel_of_chain_cons h) rw [Bool.not_not, count_cons_self, count_cons_of_ne x.not_ne_self, Chain.count_not (chain_of_chain_cons h), length, add_assoc, Nat.mod_two_add_succ_mod_two] #align list.chain.count_bnot List.Chain.count_not namespace Chain' variable {l : List Bool} theorem count_not_eq_count (hl : Chain' (· ≠ ·) l) (h2 : Even (length l)) (b : Bool) : count (!b) l = count b l := by cases' l with x l · rfl rw [length_cons, Nat.even_add_one, Nat.not_even_iff] at h2 suffices count (!x) (x :: l) = count x (x :: l) by -- Porting note: old proof is -- cases b <;> cases x <;> try exact this; cases b <;> cases x <;> revert this <;> simp only [Bool.not_false, Bool.not_true] <;> intro this <;> (try exact this) <;> exact this.symm rw [count_cons_of_ne x.not_ne_self, hl.count_not, h2, count_cons_self] #align list.chain'.count_bnot_eq_count List.Chain'.count_not_eq_count theorem count_false_eq_count_true (hl : Chain' (· ≠ ·) l) (h2 : Even (length l)) : count false l = count true l := hl.count_not_eq_count h2 true #align list.chain'.count_ff_eq_count_tt List.Chain'.count_false_eq_count_true theorem count_not_le_count_add_one (hl : Chain' (· ≠ ·) l) (b : Bool) : count (!b) l ≤ count b l + 1 := by cases' l with x l · exact zero_le _ obtain rfl | rfl : b = x ∨ b = !x := by simp only [Bool.eq_not_iff, em] · rw [count_cons_of_ne b.not_ne_self, count_cons_self, hl.count_not, add_assoc] exact add_le_add_left (Nat.mod_lt _ two_pos).le _ · rw [Bool.not_not, count_cons_self, count_cons_of_ne x.not_ne_self, hl.count_not] exact add_le_add_right (le_add_right le_rfl) _ #align list.chain'.count_bnot_le_count_add_one List.Chain'.count_not_le_count_add_one theorem count_false_le_count_true_add_one (hl : Chain' (· ≠ ·) l) : count false l ≤ count true l + 1 := hl.count_not_le_count_add_one true #align list.chain'.count_ff_le_count_tt_add_one List.Chain'.count_false_le_count_true_add_one theorem count_true_le_count_false_add_one (hl : Chain' (· ≠ ·) l) : count true l ≤ count false l + 1 := hl.count_not_le_count_add_one false #align list.chain'.count_tt_le_count_ff_add_one List.Chain'.count_true_le_count_false_add_one
Mathlib/Data/Bool/Count.lean
100
102
theorem two_mul_count_bool_of_even (hl : Chain' (· ≠ ·) l) (h2 : Even (length l)) (b : Bool) : 2 * count b l = length l := by
rw [← count_not_add_count l b, hl.count_not_eq_count h2, two_mul]
0
import Mathlib.Probability.Martingale.BorelCantelli import Mathlib.Probability.ConditionalExpectation import Mathlib.Probability.Independence.Basic #align_import probability.borel_cantelli from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740" open scoped MeasureTheory ProbabilityTheory ENNReal Topology open MeasureTheory ProbabilityTheory MeasurableSpace TopologicalSpace namespace ProbabilityTheory variable {Ω : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} [IsProbabilityMeasure μ] section BorelCantelli variable {ι β : Type*} [LinearOrder ι] [mβ : MeasurableSpace β] [NormedAddCommGroup β] [BorelSpace β] {f : ι → Ω → β} {i j : ι} {s : ι → Set Ω}
Mathlib/Probability/BorelCantelli.lean
43
48
theorem iIndepFun.indep_comap_natural_of_lt (hf : ∀ i, StronglyMeasurable (f i)) (hfi : iIndepFun (fun _ => mβ) f μ) (hij : i < j) : Indep (MeasurableSpace.comap (f j) mβ) (Filtration.natural f hf i) μ := by
suffices Indep (⨆ k ∈ ({j} : Set ι), MeasurableSpace.comap (f k) mβ) (⨆ k ∈ {k | k ≤ i}, MeasurableSpace.comap (f k) mβ) μ by rwa [iSup_singleton] at this exact indep_iSup_of_disjoint (fun k => (hf k).measurable.comap_le) hfi (by simpa)
0
import Mathlib.RingTheory.RootsOfUnity.Basic universe u variable {L : Type u} [CommRing L] [IsDomain L] variable (n : ℕ+)
Mathlib/NumberTheory/Cyclotomic/CyclotomicCharacter.lean
72
75
theorem rootsOfUnity.integer_power_of_ringEquiv (g : L ≃+* L) : ∃ m : ℤ, ∀ t : rootsOfUnity n L, g (t : Lˣ) = (t ^ m : Lˣ) := by
obtain ⟨m, hm⟩ := MonoidHom.map_cyclic ((g : L ≃* L).restrictRootsOfUnity n).toMonoidHom exact ⟨m, fun t ↦ Units.ext_iff.1 <| SetCoe.ext_iff.2 <| hm t⟩
0
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1 theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc] #align finset.center_mass_smul Finset.centerMass_smul theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E) (wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass (Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ← Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1] · congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul] · rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab] #align finset.center_mass_segment' Finset.centerMass_segment'
Mathlib/Analysis/Convex/Combination.lean
105
112
theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E) (hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass w₁ z + b • s.centerMass w₂ z = s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by
have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by simp only [← mul_sum, sum_add_distrib, mul_one, *] simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw, smul_sum, sum_add_distrib, add_smul, mul_smul, *]
0
import Mathlib.Analysis.Convex.Cone.Basic import Mathlib.Analysis.InnerProductSpace.Projection #align_import analysis.convex.cone.dual from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" open Set LinearMap open scoped Classical open Pointwise variable {𝕜 E F G : Type*} section Dual variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℝ H] (s t : Set H) open RealInnerProductSpace def Set.innerDualCone (s : Set H) : ConvexCone ℝ H where carrier := { y | ∀ x ∈ s, 0 ≤ ⟪x, y⟫ } smul_mem' c hc y hy x hx := by rw [real_inner_smul_right] exact mul_nonneg hc.le (hy x hx) add_mem' u hu v hv x hx := by rw [inner_add_right] exact add_nonneg (hu x hx) (hv x hx) #align set.inner_dual_cone Set.innerDualCone @[simp] theorem mem_innerDualCone (y : H) (s : Set H) : y ∈ s.innerDualCone ↔ ∀ x ∈ s, 0 ≤ ⟪x, y⟫ := Iff.rfl #align mem_inner_dual_cone mem_innerDualCone @[simp] theorem innerDualCone_empty : (∅ : Set H).innerDualCone = ⊤ := eq_top_iff.mpr fun _ _ _ => False.elim #align inner_dual_cone_empty innerDualCone_empty @[simp] theorem innerDualCone_zero : (0 : Set H).innerDualCone = ⊤ := eq_top_iff.mpr fun _ _ y (hy : y = 0) => hy.symm ▸ (inner_zero_left _).ge #align inner_dual_cone_zero innerDualCone_zero @[simp] theorem innerDualCone_univ : (univ : Set H).innerDualCone = 0 := by suffices ∀ x : H, x ∈ (univ : Set H).innerDualCone → x = 0 by apply SetLike.coe_injective exact eq_singleton_iff_unique_mem.mpr ⟨fun x _ => (inner_zero_right _).ge, this⟩ exact fun x hx => by simpa [← real_inner_self_nonpos] using hx (-x) (mem_univ _) #align inner_dual_cone_univ innerDualCone_univ theorem innerDualCone_le_innerDualCone (h : t ⊆ s) : s.innerDualCone ≤ t.innerDualCone := fun _ hy x hx => hy x (h hx) #align inner_dual_cone_le_inner_dual_cone innerDualCone_le_innerDualCone theorem pointed_innerDualCone : s.innerDualCone.Pointed := fun x _ => by rw [inner_zero_right] #align pointed_inner_dual_cone pointed_innerDualCone theorem innerDualCone_singleton (x : H) : ({x} : Set H).innerDualCone = (ConvexCone.positive ℝ ℝ).comap (innerₛₗ ℝ x) := ConvexCone.ext fun _ => forall_eq #align inner_dual_cone_singleton innerDualCone_singleton theorem innerDualCone_union (s t : Set H) : (s ∪ t).innerDualCone = s.innerDualCone ⊓ t.innerDualCone := le_antisymm (le_inf (fun _ hx _ hy => hx _ <| Or.inl hy) fun _ hx _ hy => hx _ <| Or.inr hy) fun _ hx _ => Or.rec (hx.1 _) (hx.2 _) #align inner_dual_cone_union innerDualCone_union theorem innerDualCone_insert (x : H) (s : Set H) : (insert x s).innerDualCone = Set.innerDualCone {x} ⊓ s.innerDualCone := by rw [insert_eq, innerDualCone_union] #align inner_dual_cone_insert innerDualCone_insert theorem innerDualCone_iUnion {ι : Sort*} (f : ι → Set H) : (⋃ i, f i).innerDualCone = ⨅ i, (f i).innerDualCone := by refine le_antisymm (le_iInf fun i x hx y hy => hx _ <| mem_iUnion_of_mem _ hy) ?_ intro x hx y hy rw [ConvexCone.mem_iInf] at hx obtain ⟨j, hj⟩ := mem_iUnion.mp hy exact hx _ _ hj #align inner_dual_cone_Union innerDualCone_iUnion
Mathlib/Analysis/Convex/Cone/InnerDual.lean
119
121
theorem innerDualCone_sUnion (S : Set (Set H)) : (⋃₀ S).innerDualCone = sInf (Set.innerDualCone '' S) := by
simp_rw [sInf_image, sUnion_eq_biUnion, innerDualCone_iUnion]
0
import Mathlib.CategoryTheory.ConcreteCategory.Basic import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Shapes.RegularMono import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms #align_import category_theory.limits.mono_coprod from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits universe u namespace CategoryTheory namespace Limits variable (C : Type*) [Category C] class MonoCoprod : Prop where binaryCofan_inl : ∀ ⦃A B : C⦄ (c : BinaryCofan A B) (_ : IsColimit c), Mono c.inl #align category_theory.limits.mono_coprod CategoryTheory.Limits.MonoCoprod variable {C} instance (priority := 100) monoCoprodOfHasZeroMorphisms [HasZeroMorphisms C] : MonoCoprod C := ⟨fun A B c hc => by haveI : IsSplitMono c.inl := IsSplitMono.mk' (SplitMono.mk (hc.desc (BinaryCofan.mk (𝟙 A) 0)) (IsColimit.fac _ _ _)) infer_instance⟩ #align category_theory.limits.mono_coprod_of_has_zero_morphisms CategoryTheory.Limits.monoCoprodOfHasZeroMorphisms namespace MonoCoprod theorem binaryCofan_inr {A B : C} [MonoCoprod C] (c : BinaryCofan A B) (hc : IsColimit c) : Mono c.inr := by haveI hc' : IsColimit (BinaryCofan.mk c.inr c.inl) := BinaryCofan.IsColimit.mk _ (fun f₁ f₂ => hc.desc (BinaryCofan.mk f₂ f₁)) (by aesop_cat) (by aesop_cat) (fun f₁ f₂ m h₁ h₂ => BinaryCofan.IsColimit.hom_ext hc (by aesop_cat) (by aesop_cat)) exact binaryCofan_inl _ hc' #align category_theory.limits.mono_coprod.binary_cofan_inr CategoryTheory.Limits.MonoCoprod.binaryCofan_inr instance {A B : C} [MonoCoprod C] [HasBinaryCoproduct A B] : Mono (coprod.inl : A ⟶ A ⨿ B) := binaryCofan_inl _ (colimit.isColimit _) instance {A B : C} [MonoCoprod C] [HasBinaryCoproduct A B] : Mono (coprod.inr : B ⟶ A ⨿ B) := binaryCofan_inr _ (colimit.isColimit _)
Mathlib/CategoryTheory/Limits/MonoCoprod.lean
78
87
theorem mono_inl_iff {A B : C} {c₁ c₂ : BinaryCofan A B} (hc₁ : IsColimit c₁) (hc₂ : IsColimit c₂) : Mono c₁.inl ↔ Mono c₂.inl := by
suffices ∀ (c₁ c₂ : BinaryCofan A B) (_ : IsColimit c₁) (_ : IsColimit c₂) (_ : Mono c₁.inl), Mono c₂.inl by exact ⟨fun h₁ => this _ _ hc₁ hc₂ h₁, fun h₂ => this _ _ hc₂ hc₁ h₂⟩ intro c₁ c₂ hc₁ hc₂ intro simpa only [IsColimit.comp_coconePointUniqueUpToIso_hom] using mono_comp c₁.inl (hc₁.coconePointUniqueUpToIso hc₂).hom
0
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w}
Mathlib/Analysis/Convex/Combination.lean
61
67
theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by
simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div]
0
import Mathlib.Topology.Separation import Mathlib.Topology.Bases #align_import topology.dense_embedding from "leanprover-community/mathlib"@"148aefbd371a25f1cff33c85f20c661ce3155def" noncomputable section open Set Filter open scoped Topology variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} structure DenseInducing [TopologicalSpace α] [TopologicalSpace β] (i : α → β) extends Inducing i : Prop where protected dense : DenseRange i #align dense_inducing DenseInducing namespace DenseInducing variable [TopologicalSpace α] [TopologicalSpace β] variable {i : α → β} (di : DenseInducing i) theorem nhds_eq_comap (di : DenseInducing i) : ∀ a : α, 𝓝 a = comap i (𝓝 <| i a) := di.toInducing.nhds_eq_comap #align dense_inducing.nhds_eq_comap DenseInducing.nhds_eq_comap protected theorem continuous (di : DenseInducing i) : Continuous i := di.toInducing.continuous #align dense_inducing.continuous DenseInducing.continuous theorem closure_range : closure (range i) = univ := di.dense.closure_range #align dense_inducing.closure_range DenseInducing.closure_range protected theorem preconnectedSpace [PreconnectedSpace α] (di : DenseInducing i) : PreconnectedSpace β := di.dense.preconnectedSpace di.continuous #align dense_inducing.preconnected_space DenseInducing.preconnectedSpace theorem closure_image_mem_nhds {s : Set α} {a : α} (di : DenseInducing i) (hs : s ∈ 𝓝 a) : closure (i '' s) ∈ 𝓝 (i a) := by rw [di.nhds_eq_comap a, ((nhds_basis_opens _).comap _).mem_iff] at hs rcases hs with ⟨U, ⟨haU, hUo⟩, sub : i ⁻¹' U ⊆ s⟩ refine mem_of_superset (hUo.mem_nhds haU) ?_ calc U ⊆ closure (i '' (i ⁻¹' U)) := di.dense.subset_closure_image_preimage_of_isOpen hUo _ ⊆ closure (i '' s) := closure_mono (image_subset i sub) #align dense_inducing.closure_image_mem_nhds DenseInducing.closure_image_mem_nhds
Mathlib/Topology/DenseEmbedding.lean
75
78
theorem dense_image (di : DenseInducing i) {s : Set α} : Dense (i '' s) ↔ Dense s := by
refine ⟨fun H x => ?_, di.dense.dense_image di.continuous⟩ rw [di.toInducing.closure_eq_preimage_closure_image, H.closure_eq, preimage_univ] trivial
0
import Batteries.Classes.Order namespace Batteries.PairingHeapImp inductive Heap (α : Type u) where | nil : Heap α | node (a : α) (child sibling : Heap α) : Heap α deriving Repr def Heap.size : Heap α → Nat | .nil => 0 | .node _ c s => c.size + 1 + s.size def Heap.singleton (a : α) : Heap α := .node a .nil .nil def Heap.isEmpty : Heap α → Bool | .nil => true | _ => false @[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α | .nil, .nil => .nil | .nil, .node a₂ c₂ _ => .node a₂ c₂ .nil | .node a₁ c₁ _, .nil => .node a₁ c₁ .nil | .node a₁ c₁ _, .node a₂ c₂ _ => if le a₁ a₂ then .node a₁ (.node a₂ c₂ c₁) .nil else .node a₂ (.node a₁ c₁ c₂) .nil @[specialize] def Heap.combine (le : α → α → Bool) : Heap α → Heap α | h₁@(.node _ _ h₂@(.node _ _ s)) => merge le (merge le h₁ h₂) (s.combine le) | h => h @[inline] def Heap.headD (a : α) : Heap α → α | .nil => a | .node a _ _ => a @[inline] def Heap.head? : Heap α → Option α | .nil => none | .node a _ _ => some a @[inline] def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α) | .nil => none | .node a c _ => (a, combine le c) @[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) := deleteMin le h |>.map (·.snd) @[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α := tail? le h |>.getD .nil inductive Heap.NoSibling : Heap α → Prop | nil : NoSibling .nil | node (a c) : NoSibling (.node a c .nil) instance : Decidable (Heap.NoSibling s) := match s with | .nil => isTrue .nil | .node a c .nil => isTrue (.node a c) | .node _ _ (.node _ _ _) => isFalse nofun theorem Heap.noSibling_merge (le) (s₁ s₂ : Heap α) : (s₁.merge le s₂).NoSibling := by unfold merge (split <;> try split) <;> constructor theorem Heap.noSibling_combine (le) (s : Heap α) : (s.combine le).NoSibling := by unfold combine; split · exact noSibling_merge _ _ _ · match s with | nil | node _ _ nil => constructor | node _ _ (node _ _ s) => rename_i h; exact (h _ _ _ _ _ rfl).elim
.lake/packages/batteries/Batteries/Data/PairingHeap.lean
103
105
theorem Heap.noSibling_deleteMin {s : Heap α} (eq : s.deleteMin le = some (a, s')) : s'.NoSibling := by
cases s with cases eq | node a c => exact noSibling_combine _ _
0
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Arctan import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine #align_import geometry.euclidean.angle.unoriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) : ‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by rw [norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero] exact inner_eq_zero_iff_angle_eq_pi_div_two x y #align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two theorem norm_add_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) : ‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ := (norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h #align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq' theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by rw [norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero] exact inner_eq_zero_iff_angle_eq_pi_div_two x y #align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two theorem norm_sub_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ := (norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h #align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq' theorem angle_add_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) : angle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by rw [angle, inner_add_right, h, add_zero, real_inner_self_eq_norm_mul_norm] by_cases hx : ‖x‖ = 0; · simp [hx] rw [div_mul_eq_div_div, mul_self_div_self] #align inner_product_geometry.angle_add_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero theorem angle_add_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) : angle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by have hxy : ‖x + y‖ ^ 2 ≠ 0 := by rw [pow_two, norm_add_sq_eq_norm_sq_add_norm_sq_real h, ne_comm] refine ne_of_lt ?_ rcases h0 with (h0 | h0) · exact Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _) · exact Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_eq_arcsin (div_nonneg (norm_nonneg _) (norm_nonneg _)), div_pow, one_sub_div hxy] nth_rw 1 [pow_two] rw [norm_add_sq_eq_norm_sq_add_norm_sq_real h, pow_two, add_sub_cancel_left, ← pow_two, ← div_pow, Real.sqrt_sq (div_nonneg (norm_nonneg _) (norm_nonneg _))] #align inner_product_geometry.angle_add_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
Mathlib/Geometry/Euclidean/Angle/Unoriented/RightAngle.lean
95
101
theorem angle_add_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) : angle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h (Or.inl h0), Real.arctan_eq_arcsin, ← div_mul_eq_div_div, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h] nth_rw 3 [← Real.sqrt_sq (norm_nonneg x)] rw_mod_cast [← Real.sqrt_mul (sq_nonneg _), div_pow, pow_two, pow_two, mul_add, mul_one, mul_div, mul_comm (‖x‖ * ‖x‖), ← mul_div, div_self (mul_self_pos.2 (norm_ne_zero_iff.2 h0)).ne', mul_one]
0
import Mathlib.Init.Data.Sigma.Lex import Mathlib.Data.Prod.Lex import Mathlib.Data.Sigma.Lex import Mathlib.Order.Antichain import Mathlib.Order.OrderIsoNat import Mathlib.Order.WellFounded import Mathlib.Tactic.TFAE #align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592" variable {ι α β γ : Type*} {π : ι → Type*} namespace Set def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop := WellFounded fun a b : s => r a b #align set.well_founded_on Set.WellFoundedOn @[simp] theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r := wellFounded_of_isEmpty _ #align set.well_founded_on_empty Set.wellFoundedOn_empty section WellFoundedOn variable {r r' : α → α → Prop} section AnyRel variable {f : β → α} {s t : Set α} {x y : α} theorem wellFoundedOn_iff : s.WellFoundedOn r ↔ WellFounded fun a b : α => r a b ∧ a ∈ s ∧ b ∈ s := by have f : RelEmbedding (fun (a : s) (b : s) => r a b) fun a b : α => r a b ∧ a ∈ s ∧ b ∈ s := ⟨⟨(↑), Subtype.coe_injective⟩, by simp⟩ refine ⟨fun h => ?_, f.wellFounded⟩ rw [WellFounded.wellFounded_iff_has_min] intro t ht by_cases hst : (s ∩ t).Nonempty · rw [← Subtype.preimage_coe_nonempty] at hst rcases h.has_min (Subtype.val ⁻¹' t) hst with ⟨⟨m, ms⟩, mt, hm⟩ exact ⟨m, mt, fun x xt ⟨xm, xs, _⟩ => hm ⟨x, xs⟩ xt xm⟩ · rcases ht with ⟨m, mt⟩ exact ⟨m, mt, fun x _ ⟨_, _, ms⟩ => hst ⟨m, ⟨ms, mt⟩⟩⟩ #align set.well_founded_on_iff Set.wellFoundedOn_iff @[simp] theorem wellFoundedOn_univ : (univ : Set α).WellFoundedOn r ↔ WellFounded r := by simp [wellFoundedOn_iff] #align set.well_founded_on_univ Set.wellFoundedOn_univ theorem _root_.WellFounded.wellFoundedOn : WellFounded r → s.WellFoundedOn r := InvImage.wf _ #align well_founded.well_founded_on WellFounded.wellFoundedOn @[simp]
Mathlib/Order/WellFoundedSet.lean
101
108
theorem wellFoundedOn_range : (range f).WellFoundedOn r ↔ WellFounded (r on f) := by
let f' : β → range f := fun c => ⟨f c, c, rfl⟩ refine ⟨fun h => (InvImage.wf f' h).mono fun c c' => id, fun h => ⟨?_⟩⟩ rintro ⟨_, c, rfl⟩ refine Acc.of_downward_closed f' ?_ _ ?_ · rintro _ ⟨_, c', rfl⟩ - exact ⟨c', rfl⟩ · exact h.apply _
0
import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Perm.Basic import Mathlib.Tactic.Ring #align_import data.fintype.perm from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" open Function open Nat universe u v variable {α β γ : Type*} open Finset Function List Equiv Equiv.Perm variable [DecidableEq α] [DecidableEq β] def permsOfList : List α → List (Perm α) | [] => [1] | a :: l => permsOfList l ++ l.bind fun b => (permsOfList l).map fun f => Equiv.swap a b * f #align perms_of_list permsOfList theorem length_permsOfList : ∀ l : List α, length (permsOfList l) = l.length ! | [] => rfl | a :: l => by rw [length_cons, Nat.factorial_succ] simp only [permsOfList, length_append, length_permsOfList, length_bind, comp, length_map, map_const', sum_replicate, smul_eq_mul, succ_mul] ring #align length_perms_of_list length_permsOfList theorem mem_permsOfList_of_mem {l : List α} {f : Perm α} (h : ∀ x, f x ≠ x → x ∈ l) : f ∈ permsOfList l := by induction l generalizing f with | nil => -- Porting note: applied `not_mem_nil` because it is no longer true definitionally. simp only [not_mem_nil] at h exact List.mem_singleton.2 (Equiv.ext fun x => Decidable.by_contradiction <| h x) | cons a l IH => by_cases hfa : f a = a · refine mem_append_left _ (IH fun x hx => mem_of_ne_of_mem ?_ (h x hx)) rintro rfl exact hx hfa have hfa' : f (f a) ≠ f a := mt (fun h => f.injective h) hfa have : ∀ x : α, (Equiv.swap a (f a) * f) x ≠ x → x ∈ l := by intro x hx have hxa : x ≠ a := by rintro rfl apply hx simp only [mul_apply, swap_apply_right] refine List.mem_of_ne_of_mem hxa (h x fun h => ?_) simp only [mul_apply, swap_apply_def, mul_apply, Ne, apply_eq_iff_eq] at hx split_ifs at hx with h_1 exacts [hxa (h.symm.trans h_1), hx h] suffices f ∈ permsOfList l ∨ ∃ b ∈ l, ∃ g ∈ permsOfList l, Equiv.swap a b * g = f by simpa only [permsOfList, exists_prop, List.mem_map, mem_append, List.mem_bind] refine or_iff_not_imp_left.2 fun _hfl => ⟨f a, ?_, Equiv.swap a (f a) * f, IH this, ?_⟩ · exact mem_of_ne_of_mem hfa (h _ hfa') · rw [← mul_assoc, mul_def (swap a (f a)) (swap a (f a)), swap_swap, ← Perm.one_def, one_mul] #align mem_perms_of_list_of_mem mem_permsOfList_of_mem
Mathlib/Data/Fintype/Perm.lean
77
94
theorem mem_of_mem_permsOfList : -- Porting note: was `∀ {x}` but need to capture the `x` ∀ {l : List α} {f : Perm α}, f ∈ permsOfList l → (x :α ) → f x ≠ x → x ∈ l | [], f, h, heq_iff_eq => by have : f = 1 := by
simpa [permsOfList] using h rw [this]; simp | a :: l, f, h, x => (mem_append.1 h).elim (fun h hx => mem_cons_of_mem _ (mem_of_mem_permsOfList h x hx)) fun h hx => let ⟨y, hy, hy'⟩ := List.mem_bind.1 h let ⟨g, hg₁, hg₂⟩ := List.mem_map.1 hy' -- Porting note: Seems like the implicit variable `x` of type `α` is needed. if hxa : x = a then by simp [hxa] else if hxy : x = y then mem_cons_of_mem _ <| by rwa [hxy] else mem_cons_of_mem a <| mem_of_mem_permsOfList hg₁ _ <| by rw [eq_inv_mul_iff_mul_eq.2 hg₂, mul_apply, swap_inv, swap_apply_def] split_ifs <;> [exact Ne.symm hxy; exact Ne.symm hxa; exact hx]
0
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic import Mathlib.LinearAlgebra.CliffordAlgebra.Fold import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.Dual #align_import linear_algebra.clifford_algebra.contraction from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open LinearMap (BilinForm) universe u1 u2 u3 variable {R : Type u1} [CommRing R] variable {M : Type u2} [AddCommGroup M] [Module R M] variable (Q : QuadraticForm R M) namespace CliffordAlgebra section contractLeft variable (d d' : Module.Dual R M) @[simps!] def contractLeftAux (d : Module.Dual R M) : M →ₗ[R] CliffordAlgebra Q × CliffordAlgebra Q →ₗ[R] CliffordAlgebra Q := haveI v_mul := (Algebra.lmul R (CliffordAlgebra Q)).toLinearMap ∘ₗ ι Q d.smulRight (LinearMap.fst _ (CliffordAlgebra Q) (CliffordAlgebra Q)) - v_mul.compl₂ (LinearMap.snd _ (CliffordAlgebra Q) _) #align clifford_algebra.contract_left_aux CliffordAlgebra.contractLeftAux
Mathlib/LinearAlgebra/CliffordAlgebra/Contraction.lean
68
72
theorem contractLeftAux_contractLeftAux (v : M) (x : CliffordAlgebra Q) (fx : CliffordAlgebra Q) : contractLeftAux Q d v (ι Q v * x, contractLeftAux Q d v (x, fx)) = Q v • fx := by
simp only [contractLeftAux_apply_apply] rw [mul_sub, ← mul_assoc, ι_sq_scalar, ← Algebra.smul_def, ← sub_add, mul_smul_comm, sub_self, zero_add]
0
import Mathlib.NumberTheory.Divisors import Mathlib.Data.Nat.Digits import Mathlib.Data.Nat.MaxPowDiv import Mathlib.Data.Nat.Multiplicity import Mathlib.Tactic.IntervalCases #align_import number_theory.padics.padic_val from "leanprover-community/mathlib"@"60fa54e778c9e85d930efae172435f42fb0d71f7" universe u open Nat open Rat open multiplicity def padicValNat (p : ℕ) (n : ℕ) : ℕ := if h : p ≠ 1 ∧ 0 < n then (multiplicity p n).get (multiplicity.finite_nat_iff.2 h) else 0 #align padic_val_nat padicValNat namespace padicValNat open multiplicity variable {p : ℕ} @[simp] protected theorem zero : padicValNat p 0 = 0 := by simp [padicValNat] #align padic_val_nat.zero padicValNat.zero @[simp] protected theorem one : padicValNat p 1 = 0 := by unfold padicValNat split_ifs · simp · rfl #align padic_val_nat.one padicValNat.one @[simp] theorem self (hp : 1 < p) : padicValNat p p = 1 := by have neq_one : ¬p = 1 ↔ True := iff_of_true hp.ne' trivial have eq_zero_false : p = 0 ↔ False := iff_false_intro (zero_lt_one.trans hp).ne' simp [padicValNat, neq_one, eq_zero_false] #align padic_val_nat.self padicValNat.self @[simp] theorem eq_zero_iff {n : ℕ} : padicValNat p n = 0 ↔ p = 1 ∨ n = 0 ∨ ¬p ∣ n := by simp only [padicValNat, dite_eq_right_iff, PartENat.get_eq_iff_eq_coe, Nat.cast_zero, multiplicity_eq_zero, and_imp, pos_iff_ne_zero, Ne, ← or_iff_not_imp_left] #align padic_val_nat.eq_zero_iff padicValNat.eq_zero_iff theorem eq_zero_of_not_dvd {n : ℕ} (h : ¬p ∣ n) : padicValNat p n = 0 := eq_zero_iff.2 <| Or.inr <| Or.inr h #align padic_val_nat.eq_zero_of_not_dvd padicValNat.eq_zero_of_not_dvd open Nat.maxPowDiv
Mathlib/NumberTheory/Padics/PadicVal.lean
119
124
theorem maxPowDiv_eq_multiplicity {p n : ℕ} (hp : 1 < p) (hn : 0 < n) : p.maxPowDiv n = multiplicity p n := by
apply multiplicity.unique <| pow_dvd p n intro h apply Nat.not_lt.mpr <| le_of_dvd hp hn h simp
0
import Mathlib.Logic.Pairwise import Mathlib.Logic.Relation import Mathlib.Data.List.Basic #align_import data.list.pairwise from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open Nat Function namespace List variable {α β : Type*} {R S T : α → α → Prop} {a : α} {l : List α} mk_iff_of_inductive_prop List.Pairwise List.pairwise_iff #align list.pairwise_iff List.pairwise_iff #align list.pairwise.nil List.Pairwise.nil #align list.pairwise.cons List.Pairwise.cons #align list.rel_of_pairwise_cons List.rel_of_pairwise_cons #align list.pairwise.of_cons List.Pairwise.of_cons #align list.pairwise.tail List.Pairwise.tail #align list.pairwise.drop List.Pairwise.drop #align list.pairwise.imp_of_mem List.Pairwise.imp_of_mem #align list.pairwise.imp List.Pairwise.impₓ -- Implicits Order #align list.pairwise_and_iff List.pairwise_and_iff #align list.pairwise.and List.Pairwise.and #align list.pairwise.imp₂ List.Pairwise.imp₂ #align list.pairwise.iff_of_mem List.Pairwise.iff_of_mem #align list.pairwise.iff List.Pairwise.iff #align list.pairwise_of_forall List.pairwise_of_forall #align list.pairwise.and_mem List.Pairwise.and_mem #align list.pairwise.imp_mem List.Pairwise.imp_mem #align list.pairwise.sublist List.Pairwise.sublistₓ -- Implicits order #align list.pairwise.forall_of_forall_of_flip List.Pairwise.forall_of_forall_of_flip theorem Pairwise.forall_of_forall (H : Symmetric R) (H₁ : ∀ x ∈ l, R x x) (H₂ : l.Pairwise R) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := H₂.forall_of_forall_of_flip H₁ <| by rwa [H.flip_eq] #align list.pairwise.forall_of_forall List.Pairwise.forall_of_forall theorem Pairwise.forall (hR : Symmetric R) (hl : l.Pairwise R) : ∀ ⦃a⦄, a ∈ l → ∀ ⦃b⦄, b ∈ l → a ≠ b → R a b := by apply Pairwise.forall_of_forall · exact fun a b h hne => hR (h hne.symm) · exact fun _ _ hx => (hx rfl).elim · exact hl.imp (@fun a b h _ => by exact h) #align list.pairwise.forall List.Pairwise.forall theorem Pairwise.set_pairwise (hl : Pairwise R l) (hr : Symmetric R) : { x | x ∈ l }.Pairwise R := hl.forall hr #align list.pairwise.set_pairwise List.Pairwise.set_pairwise #align list.pairwise_singleton List.pairwise_singleton #align list.pairwise_pair List.pairwise_pair #align list.pairwise_append List.pairwise_append #align list.pairwise_append_comm List.pairwise_append_comm #align list.pairwise_middle List.pairwise_middle -- Porting note: Duplicate of `pairwise_map` but with `f` explicit. @[deprecated (since := "2024-02-25")] theorem pairwise_map' (f : β → α) : ∀ {l : List β}, Pairwise R (map f l) ↔ Pairwise (fun a b : β => R (f a) (f b)) l | [] => by simp only [map, Pairwise.nil] | b :: l => by simp only [map, pairwise_cons, mem_map, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂, pairwise_map] #align list.pairwise_map List.pairwise_map' #align list.pairwise.of_map List.Pairwise.of_map #align list.pairwise.map List.Pairwise.map #align list.pairwise_filter_map List.pairwise_filterMap #align list.pairwise.filter_map List.Pairwise.filter_map #align list.pairwise_filter List.pairwise_filter #align list.pairwise.filter List.Pairwise.filterₓ theorem pairwise_pmap {p : β → Prop} {f : ∀ b, p b → α} {l : List β} (h : ∀ x ∈ l, p x) : Pairwise R (l.pmap f h) ↔ Pairwise (fun b₁ b₂ => ∀ (h₁ : p b₁) (h₂ : p b₂), R (f b₁ h₁) (f b₂ h₂)) l := by induction' l with a l ihl · simp obtain ⟨_, hl⟩ : p a ∧ ∀ b, b ∈ l → p b := by simpa using h simp only [ihl hl, pairwise_cons, exists₂_imp, pmap, and_congr_left_iff, mem_pmap] refine fun _ => ⟨fun H b hb _ hpb => H _ _ hb rfl, ?_⟩ rintro H _ b hb rfl exact H b hb _ _ #align list.pairwise_pmap List.pairwise_pmap
Mathlib/Data/List/Pairwise.lean
136
141
theorem Pairwise.pmap {l : List α} (hl : Pairwise R l) {p : α → Prop} {f : ∀ a, p a → β} (h : ∀ x ∈ l, p x) {S : β → β → Prop} (hS : ∀ ⦃x⦄ (hx : p x) ⦃y⦄ (hy : p y), R x y → S (f x hx) (f y hy)) : Pairwise S (l.pmap f h) := by
refine (pairwise_pmap h).2 (Pairwise.imp_of_mem ?_ hl) intros; apply hS; assumption
0
import Mathlib.Probability.Notation import Mathlib.Probability.Process.Stopping #align_import probability.martingale.basic from "leanprover-community/mathlib"@"ba074af83b6cf54c3104e59402b39410ddbd6dca" open TopologicalSpace Filter open scoped NNReal ENNReal MeasureTheory ProbabilityTheory namespace MeasureTheory variable {Ω E ι : Type*} [Preorder ι] {m0 : MeasurableSpace Ω} {μ : Measure Ω} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {f g : ι → Ω → E} {ℱ : Filtration ι m0} def Martingale (f : ι → Ω → E) (ℱ : Filtration ι m0) (μ : Measure Ω) : Prop := Adapted ℱ f ∧ ∀ i j, i ≤ j → μ[f j|ℱ i] =ᵐ[μ] f i #align measure_theory.martingale MeasureTheory.Martingale def Supermartingale [LE E] (f : ι → Ω → E) (ℱ : Filtration ι m0) (μ : Measure Ω) : Prop := Adapted ℱ f ∧ (∀ i j, i ≤ j → μ[f j|ℱ i] ≤ᵐ[μ] f i) ∧ ∀ i, Integrable (f i) μ #align measure_theory.supermartingale MeasureTheory.Supermartingale def Submartingale [LE E] (f : ι → Ω → E) (ℱ : Filtration ι m0) (μ : Measure Ω) : Prop := Adapted ℱ f ∧ (∀ i j, i ≤ j → f i ≤ᵐ[μ] μ[f j|ℱ i]) ∧ ∀ i, Integrable (f i) μ #align measure_theory.submartingale MeasureTheory.Submartingale theorem martingale_const (ℱ : Filtration ι m0) (μ : Measure Ω) [IsFiniteMeasure μ] (x : E) : Martingale (fun _ _ => x) ℱ μ := ⟨adapted_const ℱ _, fun i j _ => by rw [condexp_const (ℱ.le _)]⟩ #align measure_theory.martingale_const MeasureTheory.martingale_const theorem martingale_const_fun [OrderBot ι] (ℱ : Filtration ι m0) (μ : Measure Ω) [IsFiniteMeasure μ] {f : Ω → E} (hf : StronglyMeasurable[ℱ ⊥] f) (hfint : Integrable f μ) : Martingale (fun _ => f) ℱ μ := by refine ⟨fun i => hf.mono <| ℱ.mono bot_le, fun i j _ => ?_⟩ rw [condexp_of_stronglyMeasurable (ℱ.le _) (hf.mono <| ℱ.mono bot_le) hfint] #align measure_theory.martingale_const_fun MeasureTheory.martingale_const_fun variable (E) theorem martingale_zero (ℱ : Filtration ι m0) (μ : Measure Ω) : Martingale (0 : ι → Ω → E) ℱ μ := ⟨adapted_zero E ℱ, fun i j _ => by rw [Pi.zero_apply, condexp_zero]; simp⟩ #align measure_theory.martingale_zero MeasureTheory.martingale_zero variable {E} namespace Martingale protected theorem adapted (hf : Martingale f ℱ μ) : Adapted ℱ f := hf.1 #align measure_theory.martingale.adapted MeasureTheory.Martingale.adapted protected theorem stronglyMeasurable (hf : Martingale f ℱ μ) (i : ι) : StronglyMeasurable[ℱ i] (f i) := hf.adapted i #align measure_theory.martingale.strongly_measurable MeasureTheory.Martingale.stronglyMeasurable theorem condexp_ae_eq (hf : Martingale f ℱ μ) {i j : ι} (hij : i ≤ j) : μ[f j|ℱ i] =ᵐ[μ] f i := hf.2 i j hij #align measure_theory.martingale.condexp_ae_eq MeasureTheory.Martingale.condexp_ae_eq protected theorem integrable (hf : Martingale f ℱ μ) (i : ι) : Integrable (f i) μ := integrable_condexp.congr (hf.condexp_ae_eq (le_refl i)) #align measure_theory.martingale.integrable MeasureTheory.Martingale.integrable theorem setIntegral_eq [SigmaFiniteFiltration μ ℱ] (hf : Martingale f ℱ μ) {i j : ι} (hij : i ≤ j) {s : Set Ω} (hs : MeasurableSet[ℱ i] s) : ∫ ω in s, f i ω ∂μ = ∫ ω in s, f j ω ∂μ := by rw [← @setIntegral_condexp _ _ _ _ _ (ℱ i) m0 _ _ _ (ℱ.le i) _ (hf.integrable j) hs] refine setIntegral_congr_ae (ℱ.le i s hs) ?_ filter_upwards [hf.2 i j hij] with _ heq _ using heq.symm #align measure_theory.martingale.set_integral_eq MeasureTheory.Martingale.setIntegral_eq @[deprecated (since := "2024-04-17")] alias set_integral_eq := setIntegral_eq theorem add (hf : Martingale f ℱ μ) (hg : Martingale g ℱ μ) : Martingale (f + g) ℱ μ := by refine ⟨hf.adapted.add hg.adapted, fun i j hij => ?_⟩ exact (condexp_add (hf.integrable j) (hg.integrable j)).trans ((hf.2 i j hij).add (hg.2 i j hij)) #align measure_theory.martingale.add MeasureTheory.Martingale.add theorem neg (hf : Martingale f ℱ μ) : Martingale (-f) ℱ μ := ⟨hf.adapted.neg, fun i j hij => (condexp_neg (f j)).trans (hf.2 i j hij).neg⟩ #align measure_theory.martingale.neg MeasureTheory.Martingale.neg theorem sub (hf : Martingale f ℱ μ) (hg : Martingale g ℱ μ) : Martingale (f - g) ℱ μ := by rw [sub_eq_add_neg]; exact hf.add hg.neg #align measure_theory.martingale.sub MeasureTheory.Martingale.sub
Mathlib/Probability/Martingale/Basic.lean
132
135
theorem smul (c : ℝ) (hf : Martingale f ℱ μ) : Martingale (c • f) ℱ μ := by
refine ⟨hf.adapted.smul c, fun i j hij => ?_⟩ refine (condexp_smul c (f j)).trans ((hf.2 i j hij).mono fun x hx => ?_) simp only [Pi.smul_apply, hx]
0
import Mathlib.Algebra.Algebra.Unitization import Mathlib.Algebra.Star.NonUnitalSubalgebra import Mathlib.Algebra.Star.Subalgebra import Mathlib.GroupTheory.GroupAction.Ring namespace NonUnitalSubalgebra theorem _root_.AlgHomClass.unitization_injective' {F R S A : Type*} [CommRing R] [Ring A] [Algebra R A] [SetLike S A] [hSA : NonUnitalSubringClass S A] [hSRA : SMulMemClass S R A] (s : S) (h : ∀ r, r ≠ 0 → algebraMap R A r ∉ s) [FunLike F (Unitization R s) A] [AlgHomClass F R (Unitization R s) A] (f : F) (hf : ∀ x : s, f x = x) : Function.Injective f := by refine (injective_iff_map_eq_zero f).mpr fun x hx => ?_ induction' x with r a simp_rw [map_add, hf, ← Unitization.algebraMap_eq_inl, AlgHomClass.commutes] at hx rw [add_eq_zero_iff_eq_neg] at hx ⊢ by_cases hr : r = 0 · ext <;> simp [hr] at hx ⊢ exact hx · exact (h r hr <| hx ▸ (neg_mem a.property)).elim
Mathlib/Algebra/Algebra/Subalgebra/Unitization.lean
161
167
theorem _root_.AlgHomClass.unitization_injective {F R S A : Type*} [Field R] [Ring A] [Algebra R A] [SetLike S A] [hSA : NonUnitalSubringClass S A] [hSRA : SMulMemClass S R A] (s : S) (h1 : 1 ∉ s) [FunLike F (Unitization R s) A] [AlgHomClass F R (Unitization R s) A] (f : F) (hf : ∀ x : s, f x = x) : Function.Injective f := by
refine AlgHomClass.unitization_injective' s (fun r hr hr' ↦ ?_) f hf rw [Algebra.algebraMap_eq_smul_one] at hr' exact h1 <| inv_smul_smul₀ hr (1 : A) ▸ SMulMemClass.smul_mem r⁻¹ hr'
0
import Mathlib.Analysis.InnerProductSpace.TwoDim import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic #align_import geometry.euclidean.angle.oriented.basic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "ω" => o.areaForm def oangle (x y : V) : Real.Angle := Complex.arg (o.kahler x y) #align orientation.oangle Orientation.oangle theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) : ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_ · exact o.kahler_ne_zero hx1 hx2 exact ((continuous_ofReal.comp continuous_inner).add ((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt #align orientation.continuous_at_oangle Orientation.continuousAt_oangle @[simp] theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle] #align orientation.oangle_zero_left Orientation.oangle_zero_left @[simp] theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle] #align orientation.oangle_zero_right Orientation.oangle_zero_right @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean
78
82
theorem oangle_self (x : V) : o.oangle x x = 0 := by
rw [oangle, kahler_apply_self, ← ofReal_pow] convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π)) apply arg_ofReal_of_nonneg positivity
0
import Mathlib.LinearAlgebra.Basis.VectorSpace import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.SetTheory.Cardinal.Subfield import Mathlib.LinearAlgebra.Dimension.RankNullity #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u₀ u v v' v'' u₁' w w' variable {K R : Type u} {V V₁ V₂ V₃ : Type v} {V' V'₁ : Type v'} {V'' : Type v''} variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*} open Cardinal Basis Submodule Function Set section Module section Cardinal variable (K) variable [DivisionRing K]
Mathlib/LinearAlgebra/Dimension/DivisionRing.lean
239
283
theorem max_aleph0_card_le_rank_fun_nat : max ℵ₀ #K ≤ Module.rank K (ℕ → K) := by
have aleph0_le : ℵ₀ ≤ Module.rank K (ℕ → K) := (rank_finsupp_self K ℕ).symm.trans_le (Finsupp.lcoeFun.rank_le_of_injective <| by exact DFunLike.coe_injective) refine max_le aleph0_le ?_ obtain card_K | card_K := le_or_lt #K ℵ₀ · exact card_K.trans aleph0_le by_contra! obtain ⟨⟨ιK, bK⟩⟩ := Module.Free.exists_basis (R := K) (M := ℕ → K) let L := Subfield.closure (Set.range (fun i : ιK × ℕ ↦ bK i.1 i.2)) have hLK : #L < #K := by refine (Subfield.cardinal_mk_closure_le_max _).trans_lt (max_lt_iff.mpr ⟨mk_range_le.trans_lt ?_, card_K⟩) rwa [mk_prod, ← aleph0, lift_uzero, bK.mk_eq_rank'', mul_aleph0_eq aleph0_le] letI := Module.compHom K (RingHom.op L.subtype) obtain ⟨⟨ιL, bL⟩⟩ := Module.Free.exists_basis (R := Lᵐᵒᵖ) (M := K) have card_ιL : ℵ₀ ≤ #ιL := by contrapose! hLK haveI := @Fintype.ofFinite _ (lt_aleph0_iff_finite.mp hLK) rw [bL.repr.toEquiv.cardinal_eq, mk_finsupp_of_fintype, ← MulOpposite.opEquiv.cardinal_eq] at card_K ⊢ apply power_nat_le contrapose! card_K exact (power_lt_aleph0 card_K <| nat_lt_aleph0 _).le obtain ⟨e⟩ := lift_mk_le'.mp (card_ιL.trans_eq (lift_uzero #ιL).symm) have rep_e := bK.total_repr (bL ∘ e) rw [Finsupp.total_apply, Finsupp.sum] at rep_e set c := bK.repr (bL ∘ e) set s := c.support let f i (j : s) : L := ⟨bK j i, Subfield.subset_closure ⟨(j, i), rfl⟩⟩ have : ¬LinearIndependent Lᵐᵒᵖ f := fun h ↦ by have := h.cardinal_lift_le_rank rw [lift_uzero, (LinearEquiv.piCongrRight fun _ ↦ MulOpposite.opLinearEquiv Lᵐᵒᵖ).rank_eq, rank_fun'] at this exact (nat_lt_aleph0 _).not_le this obtain ⟨t, g, eq0, i, hi, hgi⟩ := not_linearIndependent_iff.mp this refine hgi (linearIndependent_iff'.mp (bL.linearIndependent.comp e e.injective) t g ?_ i hi) clear_value c s simp_rw [← rep_e, Finset.sum_apply, Pi.smul_apply, Finset.smul_sum] rw [Finset.sum_comm] refine Finset.sum_eq_zero fun i hi ↦ ?_ replace eq0 := congr_arg L.subtype (congr_fun eq0 ⟨i, hi⟩) rw [Finset.sum_apply, map_sum] at eq0 have : SMulCommClass Lᵐᵒᵖ K K := ⟨fun _ _ _ ↦ mul_assoc _ _ _⟩ simp_rw [smul_comm _ (c i), ← Finset.smul_sum] erw [eq0, smul_zero]
0
import Mathlib.Analysis.Fourier.Inversion open Real Complex Set MeasureTheory variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] open scoped FourierTransform private theorem rexp_neg_deriv_aux : ∀ x ∈ univ, HasDerivWithinAt (rexp ∘ Neg.neg) (-rexp (-x)) univ x := fun x _ ↦ mul_neg_one (rexp (-x)) ▸ ((Real.hasDerivAt_exp (-x)).comp x (hasDerivAt_neg x)).hasDerivWithinAt private theorem rexp_neg_image_aux : rexp ∘ Neg.neg '' univ = Ioi 0 := by rw [Set.image_comp, Set.image_univ_of_surjective neg_surjective, Set.image_univ, Real.range_exp] private theorem rexp_neg_injOn_aux : univ.InjOn (rexp ∘ Neg.neg) := Real.exp_injective.injOn.comp neg_injective.injOn (univ.mapsTo_univ _) private theorem rexp_cexp_aux (x : ℝ) (s : ℂ) (f : E) : rexp (-x) • cexp (-↑x) ^ (s - 1) • f = cexp (-s * ↑x) • f := by show (rexp (-x) : ℂ) • _ = _ • f rw [← smul_assoc, smul_eq_mul] push_cast conv in cexp _ * _ => lhs; rw [← cpow_one (cexp _)] rw [← cpow_add _ _ (Complex.exp_ne_zero _), cpow_def_of_ne_zero (Complex.exp_ne_zero _), Complex.log_exp (by norm_num; exact pi_pos) (by simpa using pi_nonneg)] ring_nf theorem mellin_eq_fourierIntegral (f : ℝ → E) {s : ℂ} : mellin f s = 𝓕 (fun (u : ℝ) ↦ (Real.exp (-s.re * u) • f (Real.exp (-u)))) (s.im / (2 * π)) := calc mellin f s = ∫ (u : ℝ), Complex.exp (-s * u) • f (Real.exp (-u)) := by rw [mellin, ← rexp_neg_image_aux, integral_image_eq_integral_abs_deriv_smul MeasurableSet.univ rexp_neg_deriv_aux rexp_neg_injOn_aux] simp [rexp_cexp_aux] _ = ∫ (u : ℝ), Complex.exp (↑(-2 * π * (u * (s.im / (2 * π)))) * I) • (Real.exp (-s.re * u) • f (Real.exp (-u))) := by congr ext u trans Complex.exp (-s.im * u * I) • (Real.exp (-s.re * u) • f (Real.exp (-u))) · conv => lhs; rw [← re_add_im s] rw [neg_add, add_mul, Complex.exp_add, mul_comm, ← smul_eq_mul, smul_assoc] norm_cast push_cast ring_nf congr rw [mul_comm (-s.im : ℂ) (u : ℂ), mul_comm (-2 * π)] have : 2 * (π : ℂ) ≠ 0 := by norm_num; exact pi_ne_zero field_simp _ = 𝓕 (fun (u : ℝ) ↦ (Real.exp (-s.re * u) • f (Real.exp (-u)))) (s.im / (2 * π)) := by simp [fourierIntegral_eq']
Mathlib/Analysis/MellinInversion.lean
69
84
theorem mellinInv_eq_fourierIntegralInv (σ : ℝ) (f : ℂ → E) {x : ℝ} (hx : 0 < x) : mellinInv σ f x = (x : ℂ) ^ (-σ : ℂ) • 𝓕⁻ (fun (y : ℝ) ↦ f (σ + 2 * π * y * I)) (-Real.log x) := calc mellinInv σ f x = (x : ℂ) ^ (-σ : ℂ) • (∫ (y : ℝ), Complex.exp (2 * π * (y * (-Real.log x)) * I) • f (σ + 2 * π * y * I)) := by
rw [mellinInv, one_div, ← abs_of_pos (show 0 < (2 * π)⁻¹ by norm_num; exact pi_pos)] have hx0 : (x : ℂ) ≠ 0 := ofReal_ne_zero.mpr (ne_of_gt hx) simp_rw [neg_add, cpow_add _ _ hx0, mul_smul, integral_smul] rw [smul_comm, ← Measure.integral_comp_mul_left] congr! 3 rw [cpow_def_of_ne_zero hx0, ← Complex.ofReal_log hx.le] push_cast ring_nf _ = (x : ℂ) ^ (-σ : ℂ) • 𝓕⁻ (fun (y : ℝ) ↦ f (σ + 2 * π * y * I)) (-Real.log x) := by simp [fourierIntegralInv_eq']
0
import Mathlib.Combinatorics.SimpleGraph.Clique open Finset namespace SimpleGraph variable {V : Type*} [Fintype V] [DecidableEq V] (G H : SimpleGraph V) [DecidableRel G.Adj] {n r : ℕ} def IsTuranMaximal (r : ℕ) : Prop := G.CliqueFree (r + 1) ∧ ∀ (H : SimpleGraph V) [DecidableRel H.Adj], H.CliqueFree (r + 1) → H.edgeFinset.card ≤ G.edgeFinset.card variable {G H} lemma IsTuranMaximal.le_iff_eq (hG : G.IsTuranMaximal r) (hH : H.CliqueFree (r + 1)) : G ≤ H ↔ G = H := by classical exact ⟨fun hGH ↦ edgeFinset_inj.1 <| eq_of_subset_of_card_le (edgeFinset_subset_edgeFinset.2 hGH) (hG.2 _ hH), le_of_eq⟩ def turanGraph (n r : ℕ) : SimpleGraph (Fin n) where Adj v w := v % r ≠ w % r instance turanGraph.instDecidableRelAdj : DecidableRel (turanGraph n r).Adj := by dsimp only [turanGraph]; infer_instance @[simp] lemma turanGraph_zero : turanGraph n 0 = ⊤ := by ext a b; simp_rw [turanGraph, top_adj, Nat.mod_zero, not_iff_not, Fin.val_inj] @[simp] theorem turanGraph_eq_top : turanGraph n r = ⊤ ↔ r = 0 ∨ n ≤ r := by simp_rw [SimpleGraph.ext_iff, Function.funext_iff, turanGraph, top_adj, eq_iff_iff, not_iff_not] refine ⟨fun h ↦ ?_, ?_⟩ · contrapose! h use ⟨0, (Nat.pos_of_ne_zero h.1).trans h.2⟩, ⟨r, h.2⟩ simp [h.1.symm] · rintro (rfl | h) a b · simp [Fin.val_inj] · rw [Nat.mod_eq_of_lt (a.2.trans_le h), Nat.mod_eq_of_lt (b.2.trans_le h), Fin.val_inj] variable (hr : 0 < r)
Mathlib/Combinatorics/SimpleGraph/Turan.lean
66
75
theorem turanGraph_cliqueFree : (turanGraph n r).CliqueFree (r + 1) := by
rw [cliqueFree_iff] by_contra h rw [not_isEmpty_iff] at h obtain ⟨f, ha⟩ := h simp only [turanGraph, top_adj] at ha obtain ⟨x, y, d, c⟩ := Fintype.exists_ne_map_eq_of_card_lt (fun x ↦ (⟨(f x).1 % r, Nat.mod_lt _ hr⟩ : Fin r)) (by simp) simp only [Fin.mk.injEq] at c exact absurd c ((@ha x y).mpr d)
0
import Mathlib.Tactic.Qify import Mathlib.Data.ZMod.Basic import Mathlib.NumberTheory.DiophantineApproximation import Mathlib.NumberTheory.Zsqrtd.Basic #align_import number_theory.pell from "leanprover-community/mathlib"@"7ad820c4997738e2f542f8a20f32911f52020e26" namespace Pell open Zsqrtd theorem is_pell_solution_iff_mem_unitary {d : ℤ} {a : ℤ√d} : a.re ^ 2 - d * a.im ^ 2 = 1 ↔ a ∈ unitary (ℤ√d) := by rw [← norm_eq_one_iff_mem_unitary, norm_def, sq, sq, ← mul_assoc] #align pell.is_pell_solution_iff_mem_unitary Pell.is_pell_solution_iff_mem_unitary -- We use `solution₁ d` to allow for a more general structure `solution d m` that -- encodes solutions to `x^2 - d*y^2 = m` to be added later. def Solution₁ (d : ℤ) : Type := ↥(unitary (ℤ√d)) #align pell.solution₁ Pell.Solution₁ namespace Solution₁ variable {d : ℤ} -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5020): manual deriving instance instCommGroup : CommGroup (Solution₁ d) := inferInstanceAs (CommGroup (unitary (ℤ√d))) #align pell.solution₁.comm_group Pell.Solution₁.instCommGroup instance instHasDistribNeg : HasDistribNeg (Solution₁ d) := inferInstanceAs (HasDistribNeg (unitary (ℤ√d))) #align pell.solution₁.has_distrib_neg Pell.Solution₁.instHasDistribNeg instance instInhabited : Inhabited (Solution₁ d) := inferInstanceAs (Inhabited (unitary (ℤ√d))) #align pell.solution₁.inhabited Pell.Solution₁.instInhabited instance : Coe (Solution₁ d) (ℤ√d) where coe := Subtype.val protected def x (a : Solution₁ d) : ℤ := (a : ℤ√d).re #align pell.solution₁.x Pell.Solution₁.x protected def y (a : Solution₁ d) : ℤ := (a : ℤ√d).im #align pell.solution₁.y Pell.Solution₁.y theorem prop (a : Solution₁ d) : a.x ^ 2 - d * a.y ^ 2 = 1 := is_pell_solution_iff_mem_unitary.mpr a.property #align pell.solution₁.prop Pell.Solution₁.prop theorem prop_x (a : Solution₁ d) : a.x ^ 2 = 1 + d * a.y ^ 2 := by rw [← a.prop]; ring #align pell.solution₁.prop_x Pell.Solution₁.prop_x theorem prop_y (a : Solution₁ d) : d * a.y ^ 2 = a.x ^ 2 - 1 := by rw [← a.prop]; ring #align pell.solution₁.prop_y Pell.Solution₁.prop_y @[ext] theorem ext {a b : Solution₁ d} (hx : a.x = b.x) (hy : a.y = b.y) : a = b := Subtype.ext <| Zsqrtd.ext _ _ hx hy #align pell.solution₁.ext Pell.Solution₁.ext def mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : Solution₁ d where val := ⟨x, y⟩ property := is_pell_solution_iff_mem_unitary.mp prop #align pell.solution₁.mk Pell.Solution₁.mk @[simp] theorem x_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (mk x y prop).x = x := rfl #align pell.solution₁.x_mk Pell.Solution₁.x_mk @[simp] theorem y_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (mk x y prop).y = y := rfl #align pell.solution₁.y_mk Pell.Solution₁.y_mk @[simp] theorem coe_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (↑(mk x y prop) : ℤ√d) = ⟨x, y⟩ := Zsqrtd.ext _ _ (x_mk x y prop) (y_mk x y prop) #align pell.solution₁.coe_mk Pell.Solution₁.coe_mk @[simp] theorem x_one : (1 : Solution₁ d).x = 1 := rfl #align pell.solution₁.x_one Pell.Solution₁.x_one @[simp] theorem y_one : (1 : Solution₁ d).y = 0 := rfl #align pell.solution₁.y_one Pell.Solution₁.y_one @[simp]
Mathlib/NumberTheory/Pell.lean
178
180
theorem x_mul (a b : Solution₁ d) : (a * b).x = a.x * b.x + d * (a.y * b.y) := by
rw [← mul_assoc] rfl
0
import Mathlib.RingTheory.Noetherian import Mathlib.Algebra.DirectSum.Module import Mathlib.Algebra.DirectSum.Finsupp import Mathlib.Algebra.Module.Projective import Mathlib.Algebra.Module.Injective import Mathlib.Algebra.Module.CharacterModule import Mathlib.LinearAlgebra.DirectSum.TensorProduct import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.Algebra.Module.Projective #align_import ring_theory.flat from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c" universe u v w namespace Module open Function (Surjective) open LinearMap Submodule TensorProduct DirectSum variable (R : Type u) (M : Type v) [CommRing R] [AddCommGroup M] [Module R M] @[mk_iff] class Flat : Prop where out : ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (TensorProduct.lift ((lsmul R M).comp I.subtype)) #align module.flat Module.Flat namespace Flat instance self (R : Type u) [CommRing R] : Flat R R := ⟨by intro I _ rw [← Equiv.injective_comp (TensorProduct.rid R I).symm.toEquiv] convert Subtype.coe_injective using 1 ext x simp only [Function.comp_apply, LinearEquiv.coe_toEquiv, rid_symm_apply, comp_apply, mul_one, lift.tmul, Submodule.subtype_apply, Algebra.id.smul_eq_mul, lsmul_apply]⟩ #align module.flat.self Module.Flat.self lemma iff_rTensor_injective : Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (rTensor M I.subtype) := by simp [flat_iff, ← lid_comp_rTensor] theorem iff_rTensor_injective' : Flat R M ↔ ∀ I : Ideal R, Function.Injective (rTensor M I.subtype) := by rewrite [Flat.iff_rTensor_injective] refine ⟨fun h I => ?_, fun h I _ => h I⟩ rewrite [injective_iff_map_eq_zero] intro x hx₀ obtain ⟨J, hfg, hle, y, rfl⟩ := Submodule.exists_fg_le_eq_rTensor_inclusion x rewrite [← rTensor_comp_apply] at hx₀ rw [(injective_iff_map_eq_zero _).mp (h hfg) y hx₀, LinearMap.map_zero] @[deprecated (since := "2024-03-29")] alias lTensor_inj_iff_rTensor_inj := LinearMap.lTensor_inj_iff_rTensor_inj
Mathlib/RingTheory/Flat/Basic.lean
112
114
theorem iff_lTensor_injective : Module.Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (lTensor M I.subtype) := by
simpa [← comm_comp_rTensor_comp_comm_eq] using Module.Flat.iff_rTensor_injective R M
0
import Mathlib.Data.Rat.Sqrt import Mathlib.Data.Real.Sqrt import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Int.Basic import Mathlib.Tactic.IntervalCases #align_import data.real.irrational from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d" open Rat Real multiplicity def Irrational (x : ℝ) := x ∉ Set.range ((↑) : ℚ → ℝ) #align irrational Irrational theorem irrational_iff_ne_rational (x : ℝ) : Irrational x ↔ ∀ a b : ℤ, x ≠ a / b := by simp only [Irrational, Rat.forall, cast_mk, not_exists, Set.mem_range, cast_intCast, cast_div, eq_comm] #align irrational_iff_ne_rational irrational_iff_ne_rational theorem Transcendental.irrational {r : ℝ} (tr : Transcendental ℚ r) : Irrational r := by rintro ⟨a, rfl⟩ exact tr (isAlgebraic_algebraMap a) #align transcendental.irrational Transcendental.irrational theorem irrational_nrt_of_notint_nrt {x : ℝ} (n : ℕ) (m : ℤ) (hxr : x ^ n = m) (hv : ¬∃ y : ℤ, x = y) (hnpos : 0 < n) : Irrational x := by rintro ⟨⟨N, D, P, C⟩, rfl⟩ rw [← cast_pow] at hxr have c1 : ((D : ℤ) : ℝ) ≠ 0 := by rw [Int.cast_ne_zero, Int.natCast_ne_zero] exact P have c2 : ((D : ℤ) : ℝ) ^ n ≠ 0 := pow_ne_zero _ c1 rw [mk'_eq_divInt, cast_pow, cast_mk, div_pow, div_eq_iff_mul_eq c2, ← Int.cast_pow, ← Int.cast_pow, ← Int.cast_mul, Int.cast_inj] at hxr have hdivn : (D : ℤ) ^ n ∣ N ^ n := Dvd.intro_left m hxr rw [← Int.dvd_natAbs, ← Int.natCast_pow, Int.natCast_dvd_natCast, Int.natAbs_pow, Nat.pow_dvd_pow_iff hnpos.ne'] at hdivn obtain rfl : D = 1 := by rw [← Nat.gcd_eq_right hdivn, C.gcd_eq_one] refine hv ⟨N, ?_⟩ rw [mk'_eq_divInt, Int.ofNat_one, divInt_one, cast_intCast] #align irrational_nrt_of_notint_nrt irrational_nrt_of_notint_nrt
Mathlib/Data/Real/Irrational.lean
70
85
theorem irrational_nrt_of_n_not_dvd_multiplicity {x : ℝ} (n : ℕ) {m : ℤ} (hm : m ≠ 0) (p : ℕ) [hp : Fact p.Prime] (hxr : x ^ n = m) (hv : (multiplicity (p : ℤ) m).get (finite_int_iff.2 ⟨hp.1.ne_one, hm⟩) % n ≠ 0) : Irrational x := by
rcases Nat.eq_zero_or_pos n with (rfl | hnpos) · rw [eq_comm, pow_zero, ← Int.cast_one, Int.cast_inj] at hxr simp [hxr, multiplicity.one_right (mt isUnit_iff_dvd_one.1 (mt Int.natCast_dvd_natCast.1 hp.1.not_dvd_one)), Nat.zero_mod] at hv refine irrational_nrt_of_notint_nrt _ _ hxr ?_ hnpos rintro ⟨y, rfl⟩ rw [← Int.cast_pow, Int.cast_inj] at hxr subst m have : y ≠ 0 := by rintro rfl; rw [zero_pow hnpos.ne'] at hm; exact hm rfl erw [multiplicity.pow' (Nat.prime_iff_prime_int.1 hp.1) (finite_int_iff.2 ⟨hp.1.ne_one, this⟩), Nat.mul_mod_right] at hv exact hv rfl
0
import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.Dimension.Constructions open Cardinal Submodule Set FiniteDimensional universe u v section Module variable {K : Type u} {V : Type v} [Ring K] [StrongRankCondition K] [AddCommGroup V] [Module K V] noncomputable def Basis.ofRankEqZero [Module.Free K V] {ι : Type*} [IsEmpty ι] (hV : Module.rank K V = 0) : Basis ι K V := haveI : Subsingleton V := by obtain ⟨_, b⟩ := Module.Free.exists_basis (R := K) (M := V) haveI := mk_eq_zero_iff.1 (hV ▸ b.mk_eq_rank'') exact b.repr.toEquiv.subsingleton Basis.empty _ #align basis.of_rank_eq_zero Basis.ofRankEqZero @[simp] theorem Basis.ofRankEqZero_apply [Module.Free K V] {ι : Type*} [IsEmpty ι] (hV : Module.rank K V = 0) (i : ι) : Basis.ofRankEqZero hV i = 0 := rfl #align basis.of_rank_eq_zero_apply Basis.ofRankEqZero_apply theorem le_rank_iff_exists_linearIndependent [Module.Free K V] {c : Cardinal} : c ≤ Module.rank K V ↔ ∃ s : Set V, #s = c ∧ LinearIndependent K ((↑) : s → V) := by haveI := nontrivial_of_invariantBasisNumber K constructor · intro h obtain ⟨κ, t'⟩ := Module.Free.exists_basis (R := K) (M := V) let t := t'.reindexRange have : LinearIndependent K ((↑) : Set.range t' → V) := by convert t.linearIndependent ext; exact (Basis.reindexRange_apply _ _).symm rw [← t.mk_eq_rank'', le_mk_iff_exists_subset] at h rcases h with ⟨s, hst, hsc⟩ exact ⟨s, hsc, this.mono hst⟩ · rintro ⟨s, rfl, si⟩ exact si.cardinal_le_rank #align le_rank_iff_exists_linear_independent le_rank_iff_exists_linearIndependent theorem le_rank_iff_exists_linearIndependent_finset [Module.Free K V] {n : ℕ} : ↑n ≤ Module.rank K V ↔ ∃ s : Finset V, s.card = n ∧ LinearIndependent K ((↑) : ↥(s : Set V) → V) := by simp only [le_rank_iff_exists_linearIndependent, mk_set_eq_nat_iff_finset] constructor · rintro ⟨s, ⟨t, rfl, rfl⟩, si⟩ exact ⟨t, rfl, si⟩ · rintro ⟨s, rfl, si⟩ exact ⟨s, ⟨s, rfl, rfl⟩, si⟩ #align le_rank_iff_exists_linear_independent_finset le_rank_iff_exists_linearIndependent_finset
Mathlib/LinearAlgebra/Dimension/FreeAndStrongRankCondition.lean
76
100
theorem rank_le_one_iff [Module.Free K V] : Module.rank K V ≤ 1 ↔ ∃ v₀ : V, ∀ v, ∃ r : K, r • v₀ = v := by
obtain ⟨κ, b⟩ := Module.Free.exists_basis (R := K) (M := V) constructor · intro hd rw [← b.mk_eq_rank'', le_one_iff_subsingleton] at hd rcases isEmpty_or_nonempty κ with hb | ⟨⟨i⟩⟩ · use 0 have h' : ∀ v : V, v = 0 := by simpa [range_eq_empty, Submodule.eq_bot_iff] using b.span_eq.symm intro v simp [h' v] · use b i have h' : (K ∙ b i) = ⊤ := (subsingleton_range b).eq_singleton_of_mem (mem_range_self i) ▸ b.span_eq intro v have hv : v ∈ (⊤ : Submodule K V) := mem_top rwa [← h', mem_span_singleton] at hv · rintro ⟨v₀, hv₀⟩ have h : (K ∙ v₀) = ⊤ := by ext simp [mem_span_singleton, hv₀] rw [← rank_top, ← h] refine (rank_span_le _).trans_eq ?_ simp
0
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open scoped ENNReal namespace MeasureTheory variable {α E : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} (μ : Measure α) {f : α → E} theorem pow_mul_meas_ge_le_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) (hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) : (ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }) ^ (1 / p.toReal) ≤ snorm f p μ := by rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top] gcongr exact mul_meas_ge_le_lintegral₀ (hf.ennnorm.pow_const _) ε #align measure_theory.pow_mul_meas_ge_le_snorm MeasureTheory.pow_mul_meas_ge_le_snorm theorem mul_meas_ge_le_pow_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) (hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) : ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal } ≤ snorm f p μ ^ p.toReal := by have : 1 / p.toReal * p.toReal = 1 := by refine one_div_mul_cancel ?_ rw [Ne, ENNReal.toReal_eq_zero_iff] exact not_or_of_not hp_ne_zero hp_ne_top rw [← ENNReal.rpow_one (ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }), ← this, ENNReal.rpow_mul] gcongr exact pow_mul_meas_ge_le_snorm μ hp_ne_zero hp_ne_top hf ε #align measure_theory.mul_meas_ge_le_pow_snorm MeasureTheory.mul_meas_ge_le_pow_snorm
Mathlib/MeasureTheory/Function/LpSeminorm/ChebyshevMarkov.lean
44
49
theorem mul_meas_ge_le_pow_snorm' (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) (hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) : ε ^ p.toReal * μ { x | ε ≤ ‖f x‖₊ } ≤ snorm f p μ ^ p.toReal := by
convert mul_meas_ge_le_pow_snorm μ hp_ne_zero hp_ne_top hf (ε ^ p.toReal) using 4 ext x rw [ENNReal.rpow_le_rpow_iff (ENNReal.toReal_pos hp_ne_zero hp_ne_top)]
0
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.LinearAlgebra.Matrix.Block #align_import analysis.inner_product_space.gram_schmidt_ortho from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0" open Finset Submodule FiniteDimensional variable (𝕜 : Type*) {E : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable {ι : Type*} [LinearOrder ι] [LocallyFiniteOrderBot ι] [IsWellOrder ι (· < ·)] attribute [local instance] IsWellOrder.toHasWellFounded local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y noncomputable def gramSchmidt [IsWellOrder ι (· < ·)] (f : ι → E) (n : ι) : E := f n - ∑ i : Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt f i) (f n) termination_by n decreasing_by exact mem_Iio.1 i.2 #align gram_schmidt gramSchmidt
Mathlib/Analysis/InnerProductSpace/GramSchmidtOrtho.lean
58
60
theorem gramSchmidt_def (f : ι → E) (n : ι) : gramSchmidt 𝕜 f n = f n - ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by
rw [← sum_attach, attach_eq_univ, gramSchmidt]
0
import Mathlib.CategoryTheory.Preadditive.AdditiveFunctor import Mathlib.CategoryTheory.Monoidal.Functor #align_import category_theory.monoidal.preadditive from "leanprover-community/mathlib"@"986c4d5761f938b2e1c43c01f001b6d9d88c2055" noncomputable section open scoped Classical namespace CategoryTheory open CategoryTheory.Limits open CategoryTheory.MonoidalCategory variable (C : Type*) [Category C] [Preadditive C] [MonoidalCategory C] class MonoidalPreadditive : Prop where whiskerLeft_zero : ∀ {X Y Z : C}, X ◁ (0 : Y ⟶ Z) = 0 := by aesop_cat zero_whiskerRight : ∀ {X Y Z : C}, (0 : Y ⟶ Z) ▷ X = 0 := by aesop_cat whiskerLeft_add : ∀ {X Y Z : C} (f g : Y ⟶ Z), X ◁ (f + g) = X ◁ f + X ◁ g := by aesop_cat add_whiskerRight : ∀ {X Y Z : C} (f g : Y ⟶ Z), (f + g) ▷ X = f ▷ X + g ▷ X := by aesop_cat #align category_theory.monoidal_preadditive CategoryTheory.MonoidalPreadditive attribute [simp] MonoidalPreadditive.whiskerLeft_zero MonoidalPreadditive.zero_whiskerRight attribute [simp] MonoidalPreadditive.whiskerLeft_add MonoidalPreadditive.add_whiskerRight variable {C} variable [MonoidalPreadditive C] instance tensorLeft_additive (X : C) : (tensorLeft X).Additive where #align category_theory.tensor_left_additive CategoryTheory.tensorLeft_additive instance tensorRight_additive (X : C) : (tensorRight X).Additive where #align category_theory.tensor_right_additive CategoryTheory.tensorRight_additive instance tensoringLeft_additive (X : C) : ((tensoringLeft C).obj X).Additive where #align category_theory.tensoring_left_additive CategoryTheory.tensoringLeft_additive instance tensoringRight_additive (X : C) : ((tensoringRight C).obj X).Additive where #align category_theory.tensoring_right_additive CategoryTheory.tensoringRight_additive
Mathlib/CategoryTheory/Monoidal/Preadditive.lean
82
102
theorem monoidalPreadditive_of_faithful {D} [Category D] [Preadditive D] [MonoidalCategory D] (F : MonoidalFunctor D C) [F.Faithful] [F.Additive] : MonoidalPreadditive D := { whiskerLeft_zero := by
intros apply F.toFunctor.map_injective simp [F.map_whiskerLeft] zero_whiskerRight := by intros apply F.toFunctor.map_injective simp [F.map_whiskerRight] whiskerLeft_add := by intros apply F.toFunctor.map_injective simp only [F.map_whiskerLeft, Functor.map_add, Preadditive.comp_add, Preadditive.add_comp, MonoidalPreadditive.whiskerLeft_add] add_whiskerRight := by intros apply F.toFunctor.map_injective simp only [F.map_whiskerRight, Functor.map_add, Preadditive.comp_add, Preadditive.add_comp, MonoidalPreadditive.add_whiskerRight] }
0
import Mathlib.Data.Nat.Multiplicity import Mathlib.Data.ZMod.Algebra import Mathlib.RingTheory.WittVector.Basic import Mathlib.RingTheory.WittVector.IsPoly import Mathlib.FieldTheory.Perfect #align_import ring_theory.witt_vector.frobenius from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" namespace WittVector variable {p : ℕ} {R S : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] local notation "𝕎" => WittVector p -- type as `\bbW` noncomputable section open MvPolynomial Finset variable (p) def frobeniusPolyRat (n : ℕ) : MvPolynomial ℕ ℚ := bind₁ (wittPolynomial p ℚ ∘ fun n => n + 1) (xInTermsOfW p ℚ n) #align witt_vector.frobenius_poly_rat WittVector.frobeniusPolyRat theorem bind₁_frobeniusPolyRat_wittPolynomial (n : ℕ) : bind₁ (frobeniusPolyRat p) (wittPolynomial p ℚ n) = wittPolynomial p ℚ (n + 1) := by delta frobeniusPolyRat rw [← bind₁_bind₁, bind₁_xInTermsOfW_wittPolynomial, bind₁_X_right, Function.comp_apply] #align witt_vector.bind₁_frobenius_poly_rat_witt_polynomial WittVector.bind₁_frobeniusPolyRat_wittPolynomial private def pnat_multiplicity (n : ℕ+) : ℕ := (multiplicity p n).get <| multiplicity.finite_nat_iff.mpr <| ⟨ne_of_gt hp.1.one_lt, n.2⟩ local notation "v" => pnat_multiplicity noncomputable def frobeniusPolyAux : ℕ → MvPolynomial ℕ ℤ | n => X (n + 1) - ∑ i : Fin n, have _ := i.is_lt ∑ j ∈ range (p ^ (n - i)), (((X (i : ℕ) ^ p) ^ (p ^ (n - (i : ℕ)) - (j + 1)) : MvPolynomial ℕ ℤ) * (frobeniusPolyAux i) ^ (j + 1)) * C (((p ^ (n - i)).choose (j + 1) / (p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩)) * ↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) : ℤ) #align witt_vector.frobenius_poly_aux WittVector.frobeniusPolyAux theorem frobeniusPolyAux_eq (n : ℕ) : frobeniusPolyAux p n = X (n + 1) - ∑ i ∈ range n, ∑ j ∈ range (p ^ (n - i)), (X i ^ p) ^ (p ^ (n - i) - (j + 1)) * frobeniusPolyAux p i ^ (j + 1) * C ↑((p ^ (n - i)).choose (j + 1) / p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩) * ↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) := by rw [frobeniusPolyAux, ← Fin.sum_univ_eq_sum_range] #align witt_vector.frobenius_poly_aux_eq WittVector.frobeniusPolyAux_eq def frobeniusPoly (n : ℕ) : MvPolynomial ℕ ℤ := X n ^ p + C (p : ℤ) * frobeniusPolyAux p n #align witt_vector.frobenius_poly WittVector.frobeniusPoly theorem map_frobeniusPoly.key₁ (n j : ℕ) (hj : j < p ^ n) : p ^ (n - v p ⟨j + 1, j.succ_pos⟩) ∣ (p ^ n).choose (j + 1) := by apply multiplicity.pow_dvd_of_le_multiplicity rw [hp.out.multiplicity_choose_prime_pow hj j.succ_ne_zero] rfl #align witt_vector.map_frobenius_poly.key₁ WittVector.map_frobeniusPoly.key₁
Mathlib/RingTheory/WittVector/Frobenius.lean
131
140
theorem map_frobeniusPoly.key₂ {n i j : ℕ} (hi : i ≤ n) (hj : j < p ^ (n - i)) : j - v p ⟨j + 1, j.succ_pos⟩ + n = i + j + (n - i - v p ⟨j + 1, j.succ_pos⟩) := by
generalize h : v p ⟨j + 1, j.succ_pos⟩ = m rsuffices ⟨h₁, h₂⟩ : m ≤ n - i ∧ m ≤ j · rw [tsub_add_eq_add_tsub h₂, add_comm i j, add_tsub_assoc_of_le (h₁.trans (Nat.sub_le n i)), add_assoc, tsub_right_comm, add_comm i, tsub_add_cancel_of_le (le_tsub_of_add_le_right ((le_tsub_iff_left hi).mp h₁))] have hle : p ^ m ≤ j + 1 := h ▸ Nat.le_of_dvd j.succ_pos (multiplicity.pow_multiplicity_dvd _) exact ⟨(pow_le_pow_iff_right hp.1.one_lt).1 (hle.trans hj), Nat.le_of_lt_succ ((Nat.lt_pow_self hp.1.one_lt m).trans_le hle)⟩
0
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.NumberTheory.Liouville.Residual import Mathlib.NumberTheory.Liouville.LiouvilleWith import Mathlib.Analysis.PSeries #align_import number_theory.liouville.measure from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open scoped Filter ENNReal Topology NNReal open Filter Set Metric MeasureTheory Real theorem setOf_liouvilleWith_subset_aux : { x : ℝ | ∃ p > 2, LiouvilleWith p x } ⊆ ⋃ m : ℤ, (· + (m : ℝ)) ⁻¹' ⋃ n > (0 : ℕ), { x : ℝ | ∃ᶠ b : ℕ in atTop, ∃ a ∈ Finset.Icc (0 : ℤ) b, |x - (a : ℤ) / b| < 1 / (b : ℝ) ^ (2 + 1 / n : ℝ) } := by rintro x ⟨p, hp, hxp⟩ rcases exists_nat_one_div_lt (sub_pos.2 hp) with ⟨n, hn⟩ rw [lt_sub_iff_add_lt'] at hn suffices ∀ y : ℝ, LiouvilleWith p y → y ∈ Ico (0 : ℝ) 1 → ∃ᶠ b : ℕ in atTop, ∃ a ∈ Finset.Icc (0 : ℤ) b, |y - a / b| < 1 / (b : ℝ) ^ (2 + 1 / (n + 1 : ℕ) : ℝ) by simp only [mem_iUnion, mem_preimage] have hx : x + ↑(-⌊x⌋) ∈ Ico (0 : ℝ) 1 := by simp only [Int.floor_le, Int.lt_floor_add_one, add_neg_lt_iff_le_add', zero_add, and_self_iff, mem_Ico, Int.cast_neg, le_add_neg_iff_add_le] exact ⟨-⌊x⌋, n + 1, n.succ_pos, this _ (hxp.add_int _) hx⟩ clear hxp x; intro x hxp hx01 refine ((hxp.frequently_lt_rpow_neg hn).and_eventually (eventually_ge_atTop 1)).mono ?_ rintro b ⟨⟨a, -, hlt⟩, hb⟩ rw [rpow_neg b.cast_nonneg, ← one_div, ← Nat.cast_succ] at hlt refine ⟨a, ?_, hlt⟩ replace hb : (1 : ℝ) ≤ b := Nat.one_le_cast.2 hb have hb0 : (0 : ℝ) < b := zero_lt_one.trans_le hb replace hlt : |x - a / b| < 1 / b := by refine hlt.trans_le (one_div_le_one_div_of_le hb0 ?_) calc (b : ℝ) = (b : ℝ) ^ (1 : ℝ) := (rpow_one _).symm _ ≤ (b : ℝ) ^ (2 + 1 / (n + 1 : ℕ) : ℝ) := rpow_le_rpow_of_exponent_le hb (one_le_two.trans ?_) simpa using n.cast_add_one_pos.le rw [sub_div' _ _ _ hb0.ne', abs_div, abs_of_pos hb0, div_lt_div_right hb0, abs_sub_lt_iff, sub_lt_iff_lt_add, sub_lt_iff_lt_add, ← sub_lt_iff_lt_add'] at hlt rw [Finset.mem_Icc, ← Int.lt_add_one_iff, ← Int.lt_add_one_iff, ← neg_lt_iff_pos_add, add_comm, ← @Int.cast_lt ℝ, ← @Int.cast_lt ℝ] push_cast refine ⟨lt_of_le_of_lt ?_ hlt.1, hlt.2.trans_le ?_⟩ · simp only [mul_nonneg hx01.left b.cast_nonneg, neg_le_sub_iff_le_add, le_add_iff_nonneg_left] · rw [add_le_add_iff_left] exact mul_le_of_le_one_left hb0.le hx01.2.le #align set_of_liouville_with_subset_aux setOf_liouvilleWith_subset_aux @[simp]
Mathlib/NumberTheory/Liouville/Measure.lean
77
106
theorem volume_iUnion_setOf_liouvilleWith : volume (⋃ (p : ℝ) (_hp : 2 < p), { x : ℝ | LiouvilleWith p x }) = 0 := by
simp only [← setOf_exists, exists_prop] refine measure_mono_null setOf_liouvilleWith_subset_aux ?_ rw [measure_iUnion_null_iff]; intro m; rw [measure_preimage_add_right]; clear m refine (measure_biUnion_null_iff <| to_countable _).2 fun n (hn : 1 ≤ n) => ?_ generalize hr : (2 + 1 / n : ℝ) = r replace hr : 2 < r := by simp [← hr, zero_lt_one.trans_le hn] clear hn n refine measure_setOf_frequently_eq_zero ?_ simp only [setOf_exists, ← exists_prop, ← Real.dist_eq, ← mem_ball, setOf_mem_eq] set B : ℤ → ℕ → Set ℝ := fun a b => ball (a / b) (1 / (b : ℝ) ^ r) have hB : ∀ a b, volume (B a b) = ↑((2 : ℝ≥0) / (b : ℝ≥0) ^ r) := fun a b ↦ by rw [Real.volume_ball, mul_one_div, ← NNReal.coe_two, ← NNReal.coe_natCast, ← NNReal.coe_rpow, ← NNReal.coe_div, ENNReal.ofReal_coe_nnreal] have : ∀ b : ℕ, volume (⋃ a ∈ Finset.Icc (0 : ℤ) b, B a b) ≤ ↑(2 * ((b : ℝ≥0) ^ (1 - r) + (b : ℝ≥0) ^ (-r))) := fun b ↦ calc volume (⋃ a ∈ Finset.Icc (0 : ℤ) b, B a b) ≤ ∑ a ∈ Finset.Icc (0 : ℤ) b, volume (B a b) := measure_biUnion_finset_le _ _ _ = ↑((b + 1) * (2 / (b : ℝ≥0) ^ r)) := by simp only [hB, Int.card_Icc, Finset.sum_const, nsmul_eq_mul, sub_zero, ← Int.ofNat_succ, Int.toNat_natCast, ← Nat.cast_succ, ENNReal.coe_mul, ENNReal.coe_natCast] _ = _ := by have : 1 - r ≠ 0 := by linarith rw [ENNReal.coe_inj] simp [add_mul, div_eq_mul_inv, NNReal.rpow_neg, NNReal.rpow_sub' _ this, mul_add, mul_left_comm] refine ne_top_of_le_ne_top (ENNReal.tsum_coe_ne_top_iff_summable.2 ?_) (ENNReal.tsum_le_tsum this) refine (Summable.add ?_ ?_).mul_left _ <;> simp only [NNReal.summable_rpow] <;> linarith
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 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] #align subalgebra.eq_bot_of_finrank_one Subalgebra.eq_bot_of_finrank_one @[simp] theorem rank_eq_one_iff [Nontrivial E] [Module.Free F S] : Module.rank F S = 1 ↔ S = ⊥ := by refine ⟨fun h ↦ Subalgebra.eq_bot_of_rank_le_one h.le, ?_⟩ rintro rfl obtain ⟨κ, b⟩ := Module.Free.exists_basis (R := F) (M := (⊥ : Subalgebra F E)) refine le_antisymm ?_ ?_ · have := lift_rank_range_le (Algebra.linearMap F E) rwa [← one_eq_range, rank_self, lift_one, lift_le_one_iff] at this · by_contra H rw [not_le, lt_one_iff_zero] at H haveI := mk_eq_zero_iff.1 (H ▸ b.mk_eq_rank'') haveI := b.repr.toEquiv.subsingleton exact one_ne_zero congr((⊥ : Subalgebra F E).val $(Subsingleton.elim 1 0)) #align subalgebra.rank_eq_one_iff Subalgebra.rank_eq_one_iff @[simp] theorem finrank_eq_one_iff [Nontrivial E] [Module.Free F S] : finrank F S = 1 ↔ S = ⊥ := by rw [← Subalgebra.rank_eq_one_iff] exact toNat_eq_iff one_ne_zero #align subalgebra.finrank_eq_one_iff Subalgebra.finrank_eq_one_iff
Mathlib/LinearAlgebra/Dimension/FreeAndStrongRankCondition.lean
304
308
theorem bot_eq_top_iff_rank_eq_one [Nontrivial E] [Module.Free F E] : (⊥ : Subalgebra F E) = ⊤ ↔ Module.rank F E = 1 := by
haveI := Module.Free.of_equiv (Subalgebra.topEquiv (R := F) (A := E)).toLinearEquiv.symm -- Porting note: removed `subalgebra_top_rank_eq_submodule_top_rank` rw [← rank_top, Subalgebra.rank_eq_one_iff, eq_comm]
0
import Mathlib.CategoryTheory.Extensive import Mathlib.CategoryTheory.Limits.Shapes.KernelPair #align_import category_theory.adhesive from "leanprover-community/mathlib"@"afff1f24a6b68d0077c9d63782a1d093e337758c" namespace CategoryTheory open Limits universe v' u' v u variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C] variable {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z} -- This only makes sense when the original diagram is a pushout. @[nolint unusedArguments] def IsPushout.IsVanKampen (_ : IsPushout f g h i) : Prop := ∀ ⦃W' X' Y' Z' : C⦄ (f' : W' ⟶ X') (g' : W' ⟶ Y') (h' : X' ⟶ Z') (i' : Y' ⟶ Z') (αW : W' ⟶ W) (αX : X' ⟶ X) (αY : Y' ⟶ Y) (αZ : Z' ⟶ Z) (_ : IsPullback f' αW αX f) (_ : IsPullback g' αW αY g) (_ : CommSq h' αX αZ h) (_ : CommSq i' αY αZ i) (_ : CommSq f' g' h' i'), IsPushout f' g' h' i' ↔ IsPullback h' αX αZ h ∧ IsPullback i' αY αZ i #align category_theory.is_pushout.is_van_kampen CategoryTheory.IsPushout.IsVanKampen theorem IsPushout.IsVanKampen.flip {H : IsPushout f g h i} (H' : H.IsVanKampen) : H.flip.IsVanKampen := by introv W' hf hg hh hi w simpa only [IsPushout.flip_iff, IsPullback.flip_iff, and_comm] using H' g' f' i' h' αW αY αX αZ hg hf hi hh w.flip #align category_theory.is_pushout.is_van_kampen.flip CategoryTheory.IsPushout.IsVanKampen.flip
Mathlib/CategoryTheory/Adhesive.lean
66
110
theorem IsPushout.isVanKampen_iff (H : IsPushout f g h i) : H.IsVanKampen ↔ IsVanKampenColimit (PushoutCocone.mk h i H.w) := by
constructor · intro H F' c' α fα eα hα refine Iff.trans ?_ ((H (F'.map WalkingSpan.Hom.fst) (F'.map WalkingSpan.Hom.snd) (c'.ι.app _) (c'.ι.app _) (α.app _) (α.app _) (α.app _) fα (by convert hα WalkingSpan.Hom.fst) (by convert hα WalkingSpan.Hom.snd) ?_ ?_ ?_).trans ?_) · have : F'.map WalkingSpan.Hom.fst ≫ c'.ι.app WalkingSpan.left = F'.map WalkingSpan.Hom.snd ≫ c'.ι.app WalkingSpan.right := by simp only [Cocone.w] rw [(IsColimit.equivOfNatIsoOfIso (diagramIsoSpan F') c' (PushoutCocone.mk _ _ this) _).nonempty_congr] · exact ⟨fun h => ⟨⟨this⟩, h⟩, fun h => h.2⟩ · refine Cocones.ext (Iso.refl c'.pt) ?_ rintro (_ | _ | _) <;> dsimp <;> simp only [c'.w, Category.assoc, Category.id_comp, Category.comp_id] · exact ⟨NatTrans.congr_app eα.symm _⟩ · exact ⟨NatTrans.congr_app eα.symm _⟩ · exact ⟨by simp⟩ constructor · rintro ⟨h₁, h₂⟩ (_ | _ | _) · rw [← c'.w WalkingSpan.Hom.fst]; exact (hα WalkingSpan.Hom.fst).paste_horiz h₁ exacts [h₁, h₂] · intro h; exact ⟨h _, h _⟩ · introv H W' hf hg hh hi w refine Iff.trans ?_ ((H w.cocone ⟨by rintro (_ | _ | _); exacts [αW, αX, αY], ?_⟩ αZ ?_ ?_).trans ?_) rotate_left · rintro i _ (_ | _ | _) · dsimp; simp only [Functor.map_id, Category.comp_id, Category.id_comp] exacts [hf.w, hg.w] · ext (_ | _ | _) · dsimp; rw [PushoutCocone.condition_zero]; erw [Category.assoc, hh.w, hf.w_assoc] exacts [hh.w.symm, hi.w.symm] · rintro i _ (_ | _ | _) · dsimp; simp_rw [Functor.map_id] exact IsPullback.of_horiz_isIso ⟨by rw [Category.comp_id, Category.id_comp]⟩ exacts [hf, hg] · constructor · intro h; exact ⟨h WalkingCospan.left, h WalkingCospan.right⟩ · rintro ⟨h₁, h₂⟩ (_ | _ | _) · dsimp; rw [PushoutCocone.condition_zero]; exact hf.paste_horiz h₁ exacts [h₁, h₂] · exact ⟨fun h => h.2, fun h => ⟨w, h⟩⟩
0
import Mathlib.MeasureTheory.Measure.VectorMeasure import Mathlib.Order.SymmDiff #align_import measure_theory.decomposition.signed_hahn from "leanprover-community/mathlib"@"bc7d81beddb3d6c66f71449c5bc76c38cb77cf9e" noncomputable section open scoped Classical NNReal ENNReal MeasureTheory variable {α β : Type*} [MeasurableSpace α] variable {M : Type*} [AddCommMonoid M] [TopologicalSpace M] [OrderedAddCommMonoid M] namespace MeasureTheory namespace SignedMeasure open Filter VectorMeasure variable {s : SignedMeasure α} {i j : Set α} def measureOfNegatives (s : SignedMeasure α) : Set ℝ := s '' { B | MeasurableSet B ∧ s ≤[B] 0 } #align measure_theory.signed_measure.measure_of_negatives MeasureTheory.SignedMeasure.measureOfNegatives theorem zero_mem_measureOfNegatives : (0 : ℝ) ∈ s.measureOfNegatives := ⟨∅, ⟨MeasurableSet.empty, le_restrict_empty _ _⟩, s.empty⟩ #align measure_theory.signed_measure.zero_mem_measure_of_negatives MeasureTheory.SignedMeasure.zero_mem_measureOfNegatives
Mathlib/MeasureTheory/Decomposition/SignedHahn.lean
342
364
theorem bddBelow_measureOfNegatives : BddBelow s.measureOfNegatives := by
simp_rw [BddBelow, Set.Nonempty, mem_lowerBounds] by_contra! h have h' : ∀ n : ℕ, ∃ y : ℝ, y ∈ s.measureOfNegatives ∧ y < -n := fun n => h (-n) choose f hf using h' have hf' : ∀ n : ℕ, ∃ B, MeasurableSet B ∧ s ≤[B] 0 ∧ s B < -n := by intro n rcases hf n with ⟨⟨B, ⟨hB₁, hBr⟩, hB₂⟩, hlt⟩ exact ⟨B, hB₁, hBr, hB₂.symm ▸ hlt⟩ choose B hmeas hr h_lt using hf' set A := ⋃ n, B n with hA have hfalse : ∀ n : ℕ, s A ≤ -n := by intro n refine le_trans ?_ (le_of_lt (h_lt _)) rw [hA, ← Set.diff_union_of_subset (Set.subset_iUnion _ n), of_union Set.disjoint_sdiff_left _ (hmeas n)] · refine add_le_of_nonpos_left ?_ have : s ≤[A] 0 := restrict_le_restrict_iUnion _ _ hmeas hr refine nonpos_of_restrict_le_zero _ (restrict_le_zero_subset _ ?_ Set.diff_subset this) exact MeasurableSet.iUnion hmeas · exact (MeasurableSet.iUnion hmeas).diff (hmeas n) rcases exists_nat_gt (-s A) with ⟨n, hn⟩ exact lt_irrefl _ ((neg_lt.1 hn).trans_le (hfalse n))
0
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.Polynomial.IntegralNormalization #align_import ring_theory.algebraic from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" universe u v w open scoped Classical open Polynomial section variable (R : Type u) {A : Type v} [CommRing R] [Ring A] [Algebra R A] def IsAlgebraic (x : A) : Prop := ∃ p : R[X], p ≠ 0 ∧ aeval x p = 0 #align is_algebraic IsAlgebraic def Transcendental (x : A) : Prop := ¬IsAlgebraic R x #align transcendental Transcendental theorem is_transcendental_of_subsingleton [Subsingleton R] (x : A) : Transcendental R x := fun ⟨p, h, _⟩ => h <| Subsingleton.elim p 0 #align is_transcendental_of_subsingleton is_transcendental_of_subsingleton variable {R} nonrec def Subalgebra.IsAlgebraic (S : Subalgebra R A) : Prop := ∀ x ∈ S, IsAlgebraic R x #align subalgebra.is_algebraic Subalgebra.IsAlgebraic variable (R A) protected class Algebra.IsAlgebraic : Prop := isAlgebraic : ∀ x : A, IsAlgebraic R x #align algebra.is_algebraic Algebra.IsAlgebraic variable {R A} lemma Algebra.isAlgebraic_def : Algebra.IsAlgebraic R A ↔ ∀ x : A, IsAlgebraic R x := ⟨fun ⟨h⟩ ↦ h, fun h ↦ ⟨h⟩⟩
Mathlib/RingTheory/Algebraic.lean
67
74
theorem Subalgebra.isAlgebraic_iff (S : Subalgebra R A) : S.IsAlgebraic ↔ @Algebra.IsAlgebraic R S _ _ S.algebra := by
delta Subalgebra.IsAlgebraic rw [Subtype.forall', Algebra.isAlgebraic_def] refine forall_congr' fun x => exists_congr fun p => and_congr Iff.rfl ?_ have h : Function.Injective S.val := Subtype.val_injective conv_rhs => rw [← h.eq_iff, AlgHom.map_zero] rw [← aeval_algHom_apply, S.val_apply]
0
import Mathlib.Algebra.Polynomial.Eval import Mathlib.Analysis.SpecialFunctions.Exp open Filter Topology Real namespace Polynomial
Mathlib/Analysis/SpecialFunctions/PolynomialExp.lean
27
31
theorem tendsto_div_exp_atTop (p : ℝ[X]) : Tendsto (fun x ↦ p.eval x / exp x) atTop (𝓝 0) := by
induction p using Polynomial.induction_on' with | h_monomial n c => simpa [exp_neg, div_eq_mul_inv, mul_assoc] using tendsto_const_nhds.mul (tendsto_pow_mul_exp_neg_atTop_nhds_zero n) | h_add p q hp hq => simpa [add_div] using hp.add hq
0
import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.torus_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" variable {n : ℕ} variable {E : Type*} [NormedAddCommGroup E] noncomputable section open Complex Set MeasureTheory Function Filter TopologicalSpace open scoped Real -- Porting note: notation copied from `./DivergenceTheorem` local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "⁰" : term => `(Fin 0 → $t) local macro:arg t:term:max noWs "¹" : term => `(Fin 1 → $t) def torusMap (c : ℂⁿ) (R : ℝⁿ) : ℝⁿ → ℂⁿ := fun θ i => c i + R i * exp (θ i * I) #align torus_map torusMap theorem torusMap_sub_center (c : ℂⁿ) (R : ℝⁿ) (θ : ℝⁿ) : torusMap c R θ - c = torusMap 0 R θ := by ext1 i; simp [torusMap] #align torus_map_sub_center torusMap_sub_center theorem torusMap_eq_center_iff {c : ℂⁿ} {R : ℝⁿ} {θ : ℝⁿ} : torusMap c R θ = c ↔ R = 0 := by simp [funext_iff, torusMap, exp_ne_zero] #align torus_map_eq_center_iff torusMap_eq_center_iff @[simp] theorem torusMap_zero_radius (c : ℂⁿ) : torusMap c 0 = const ℝⁿ c := funext fun _ ↦ torusMap_eq_center_iff.2 rfl #align torus_map_zero_radius torusMap_zero_radius def TorusIntegrable (f : ℂⁿ → E) (c : ℂⁿ) (R : ℝⁿ) : Prop := IntegrableOn (fun θ : ℝⁿ => f (torusMap c R θ)) (Icc (0 : ℝⁿ) fun _ => 2 * π) volume #align torus_integrable TorusIntegrable namespace TorusIntegrable -- Porting note (#11215): TODO: restore notation; `neg`, `add` etc fail if I use notation here variable {f g : (Fin n → ℂ) → E} {c : Fin n → ℂ} {R : Fin n → ℝ} theorem torusIntegrable_const (a : E) (c : ℂⁿ) (R : ℝⁿ) : TorusIntegrable (fun _ => a) c R := by simp [TorusIntegrable, measure_Icc_lt_top] #align torus_integrable.torus_integrable_const TorusIntegrable.torusIntegrable_const protected nonrec theorem neg (hf : TorusIntegrable f c R) : TorusIntegrable (-f) c R := hf.neg #align torus_integrable.neg TorusIntegrable.neg protected nonrec theorem add (hf : TorusIntegrable f c R) (hg : TorusIntegrable g c R) : TorusIntegrable (f + g) c R := hf.add hg #align torus_integrable.add TorusIntegrable.add protected nonrec theorem sub (hf : TorusIntegrable f c R) (hg : TorusIntegrable g c R) : TorusIntegrable (f - g) c R := hf.sub hg #align torus_integrable.sub TorusIntegrable.sub theorem torusIntegrable_zero_radius {f : ℂⁿ → E} {c : ℂⁿ} : TorusIntegrable f c 0 := by rw [TorusIntegrable, torusMap_zero_radius] apply torusIntegrable_const (f c) c 0 #align torus_integrable.torus_integrable_zero_radius TorusIntegrable.torusIntegrable_zero_radius
Mathlib/MeasureTheory/Integral/TorusIntegral.lean
139
144
theorem function_integrable [NormedSpace ℂ E] (hf : TorusIntegrable f c R) : IntegrableOn (fun θ : ℝⁿ => (∏ i, R i * exp (θ i * I) * I : ℂ) • f (torusMap c R θ)) (Icc (0 : ℝⁿ) fun _ => 2 * π) volume := by
refine (hf.norm.const_mul (∏ i, |R i|)).mono' ?_ ?_ · refine (Continuous.aestronglyMeasurable ?_).smul hf.1; continuity simp [norm_smul, map_prod]
0
import Mathlib.CategoryTheory.Linear.Basic import Mathlib.CategoryTheory.Preadditive.Biproducts import Mathlib.LinearAlgebra.Matrix.InvariantBasisNumber import Mathlib.Data.Set.Subsingleton #align_import category_theory.preadditive.hom_orthogonal from "leanprover-community/mathlib"@"829895f162a1f29d0133f4b3538f4cd1fb5bffd3" open scoped Classical open Matrix CategoryTheory.Limits universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] def HomOrthogonal {ι : Type*} (s : ι → C) : Prop := Pairwise fun i j => Subsingleton (s i ⟶ s j) #align category_theory.hom_orthogonal CategoryTheory.HomOrthogonal namespace HomOrthogonal variable {ι : Type*} {s : ι → C} theorem eq_zero [HasZeroMorphisms C] (o : HomOrthogonal s) {i j : ι} (w : i ≠ j) (f : s i ⟶ s j) : f = 0 := (o w).elim _ _ #align category_theory.hom_orthogonal.eq_zero CategoryTheory.HomOrthogonal.eq_zero section variable [HasZeroMorphisms C] [HasFiniteBiproducts C] @[simps] noncomputable def matrixDecomposition (o : HomOrthogonal s) {α β : Type} [Finite α] [Finite β] {f : α → ι} {g : β → ι} : ((⨁ fun a => s (f a)) ⟶ ⨁ fun b => s (g b)) ≃ ∀ i : ι, Matrix (g ⁻¹' {i}) (f ⁻¹' {i}) (End (s i)) where toFun z i j k := eqToHom (by rcases k with ⟨k, ⟨⟩⟩ simp) ≫ biproduct.components z k j ≫ eqToHom (by rcases j with ⟨j, ⟨⟩⟩ simp) invFun z := biproduct.matrix fun j k => if h : f j = g k then z (f j) ⟨k, by simp [h]⟩ ⟨j, by simp⟩ ≫ eqToHom (by simp [h]) else 0 left_inv z := by ext j k simp only [biproduct.matrix_π, biproduct.ι_desc] split_ifs with h · simp rfl · symm apply o.eq_zero h right_inv z := by ext i ⟨j, w⟩ ⟨k, ⟨⟩⟩ simp only [eqToHom_refl, biproduct.matrix_components, Category.id_comp] split_ifs with h · simp · exfalso exact h w.symm #align category_theory.hom_orthogonal.matrix_decomposition CategoryTheory.HomOrthogonal.matrixDecomposition end section variable [Preadditive C] [HasFiniteBiproducts C] @[simps!] noncomputable def matrixDecompositionAddEquiv (o : HomOrthogonal s) {α β : Type} [Finite α] [Finite β] {f : α → ι} {g : β → ι} : ((⨁ fun a => s (f a)) ⟶ ⨁ fun b => s (g b)) ≃+ ∀ i : ι, Matrix (g ⁻¹' {i}) (f ⁻¹' {i}) (End (s i)) := { o.matrixDecomposition with map_add' := fun w z => by ext dsimp [biproduct.components] simp } #align category_theory.hom_orthogonal.matrix_decomposition_add_equiv CategoryTheory.HomOrthogonal.matrixDecompositionAddEquiv @[simp] theorem matrixDecomposition_id (o : HomOrthogonal s) {α : Type} [Finite α] {f : α → ι} (i : ι) : o.matrixDecomposition (𝟙 (⨁ fun a => s (f a))) i = 1 := by ext ⟨b, ⟨⟩⟩ ⟨a, j_property⟩ simp only [Set.mem_preimage, Set.mem_singleton_iff] at j_property simp only [Category.comp_id, Category.id_comp, Category.assoc, End.one_def, eqToHom_refl, Matrix.one_apply, HomOrthogonal.matrixDecomposition_apply, biproduct.components] split_ifs with h · cases h simp · simp at h -- Porting note: used to be `convert comp_zero`, but that does not work anymore have : biproduct.ι (fun a ↦ s (f a)) a ≫ biproduct.π (fun b ↦ s (f b)) b = 0 := by simpa using biproduct.ι_π_ne _ (Ne.symm h) rw [this, comp_zero] #align category_theory.hom_orthogonal.matrix_decomposition_id CategoryTheory.HomOrthogonal.matrixDecomposition_id
Mathlib/CategoryTheory/Preadditive/HomOrthogonal.lean
146
166
theorem matrixDecomposition_comp (o : HomOrthogonal s) {α β γ : Type} [Finite α] [Fintype β] [Finite γ] {f : α → ι} {g : β → ι} {h : γ → ι} (z : (⨁ fun a => s (f a)) ⟶ ⨁ fun b => s (g b)) (w : (⨁ fun b => s (g b)) ⟶ ⨁ fun c => s (h c)) (i : ι) : o.matrixDecomposition (z ≫ w) i = o.matrixDecomposition w i * o.matrixDecomposition z i := by
ext ⟨c, ⟨⟩⟩ ⟨a, j_property⟩ simp only [Set.mem_preimage, Set.mem_singleton_iff] at j_property simp only [Matrix.mul_apply, Limits.biproduct.components, HomOrthogonal.matrixDecomposition_apply, Category.comp_id, Category.id_comp, Category.assoc, End.mul_def, eqToHom_refl, eqToHom_trans_assoc, Finset.sum_congr] conv_lhs => rw [← Category.id_comp w, ← biproduct.total] simp only [Preadditive.sum_comp, Preadditive.comp_sum] apply Finset.sum_congr_set · intros simp · intro b nm simp only [Set.mem_preimage, Set.mem_singleton_iff] at nm simp only [Category.assoc] -- Porting note: this used to be 4 times `convert comp_zero` have : biproduct.ι (fun b ↦ s (g b)) b ≫ w ≫ biproduct.π (fun b ↦ s (h b)) c = 0 := by apply o.eq_zero nm simp only [this, comp_zero]
0
import Mathlib.Logic.UnivLE import Mathlib.SetTheory.Ordinal.Basic set_option autoImplicit true noncomputable section open Cardinal
Mathlib/SetTheory/Cardinal/UnivLE.lean
19
27
theorem univLE_iff_cardinal_le : UnivLE.{u, v} ↔ univ.{u, v+1} ≤ univ.{v, u+1} := by
rw [← not_iff_not, UnivLE]; simp_rw [small_iff_lift_mk_lt_univ]; push_neg -- strange: simp_rw [univ_umax.{v,u}] doesn't work refine ⟨fun ⟨α, le⟩ ↦ ?_, fun h ↦ ?_⟩ · rw [univ_umax.{v,u}, ← lift_le.{u+1}, lift_univ, lift_lift] at le exact le.trans_lt (lift_lt_univ'.{u,v+1} #α) · obtain ⟨⟨α⟩, h⟩ := lt_univ'.mp h; use α rw [univ_umax.{v,u}, ← lift_le.{u+1}, lift_univ, lift_lift] exact h.le
0
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Fintype.Fin import Mathlib.GroupTheory.GroupAction.Pi import Mathlib.Logic.Equiv.Fin #align_import algebra.big_operators.fin from "leanprover-community/mathlib"@"cc5dd6244981976cc9da7afc4eee5682b037a013" open Finset variable {α : Type*} {β : Type*} namespace Fin @[to_additive]
Mathlib/Algebra/BigOperators/Fin.lean
46
47
theorem prod_ofFn [CommMonoid β] {n : ℕ} (f : Fin n → β) : (List.ofFn f).prod = ∏ i, f i := by
simp [prod_eq_multiset_prod]
0
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Order.Group.Indicator import Mathlib.Order.LiminfLimsup import Mathlib.Order.Filter.Archimedean import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Data.Set.Lattice import Mathlib.Topology.Order.Monotone #align_import topology.algebra.order.liminf_limsup from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Filter TopologicalSpace open scoped Topology Classical universe u v variable {ι α β R S : Type*} {π : ι → Type*} class BoundedLENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_le_nhds (a : α) : (𝓝 a).IsBounded (· ≤ ·) #align bounded_le_nhds_class BoundedLENhdsClass class BoundedGENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_ge_nhds (a : α) : (𝓝 a).IsBounded (· ≥ ·) #align bounded_ge_nhds_class BoundedGENhdsClass section Preorder variable [Preorder α] [Preorder β] [TopologicalSpace α] [TopologicalSpace β] section LiminfLimsup section Indicator
Mathlib/Topology/Algebra/Order/LiminfLimsup.lean
511
565
theorem limsup_eq_tendsto_sum_indicator_nat_atTop (s : ℕ → Set α) : limsup s atTop = { ω | Tendsto (fun n ↦ ∑ k ∈ Finset.range n, (s (k + 1)).indicator (1 : α → ℕ) ω) atTop atTop } := by
ext ω simp only [limsup_eq_iInf_iSup_of_nat, ge_iff_le, Set.iSup_eq_iUnion, Set.iInf_eq_iInter, Set.mem_iInter, Set.mem_iUnion, exists_prop] constructor · intro hω refine tendsto_atTop_atTop_of_monotone' (fun n m hnm ↦ Finset.sum_mono_set_of_nonneg (fun i ↦ Set.indicator_nonneg (fun _ _ ↦ zero_le_one) _) (Finset.range_mono hnm)) ?_ rintro ⟨i, h⟩ simp only [mem_upperBounds, Set.mem_range, forall_exists_index, forall_apply_eq_imp_iff] at h induction' i with k hk · obtain ⟨j, hj₁, hj₂⟩ := hω 1 refine not_lt.2 (h <| j + 1) (lt_of_le_of_lt (Finset.sum_const_zero.symm : 0 = ∑ k ∈ Finset.range (j + 1), 0).le ?_) refine Finset.sum_lt_sum (fun m _ ↦ Set.indicator_nonneg (fun _ _ ↦ zero_le_one) _) ⟨j - 1, Finset.mem_range.2 (lt_of_le_of_lt (Nat.sub_le _ _) j.lt_succ_self), ?_⟩ rw [Nat.sub_add_cancel hj₁, Set.indicator_of_mem hj₂] exact zero_lt_one · rw [imp_false] at hk push_neg at hk obtain ⟨i, hi⟩ := hk obtain ⟨j, hj₁, hj₂⟩ := hω (i + 1) replace hi : (∑ k ∈ Finset.range i, (s (k + 1)).indicator 1 ω) = k + 1 := le_antisymm (h i) hi refine not_lt.2 (h <| j + 1) ?_ rw [← Finset.sum_range_add_sum_Ico _ (i.le_succ.trans (hj₁.trans j.le_succ)), hi] refine lt_add_of_pos_right _ ?_ rw [(Finset.sum_const_zero.symm : 0 = ∑ k ∈ Finset.Ico i (j + 1), 0)] refine Finset.sum_lt_sum (fun m _ ↦ Set.indicator_nonneg (fun _ _ ↦ zero_le_one) _) ⟨j - 1, Finset.mem_Ico.2 ⟨(Nat.le_sub_iff_add_le (le_trans ((le_add_iff_nonneg_left _).2 zero_le') hj₁)).2 hj₁, lt_of_le_of_lt (Nat.sub_le _ _) j.lt_succ_self⟩, ?_⟩ rw [Nat.sub_add_cancel (le_trans ((le_add_iff_nonneg_left _).2 zero_le') hj₁), Set.indicator_of_mem hj₂] exact zero_lt_one · rintro hω i rw [Set.mem_setOf_eq, tendsto_atTop_atTop] at hω by_contra! hcon obtain ⟨j, h⟩ := hω (i + 1) have : (∑ k ∈ Finset.range j, (s (k + 1)).indicator 1 ω) ≤ i := by have hle : ∀ j ≤ i, (∑ k ∈ Finset.range j, (s (k + 1)).indicator 1 ω) ≤ i := by refine fun j hij ↦ (Finset.sum_le_card_nsmul _ _ _ ?_ : _ ≤ (Finset.range j).card • 1).trans ?_ · exact fun m _ ↦ Set.indicator_apply_le' (fun _ ↦ le_rfl) fun _ ↦ zero_le_one · simpa only [Finset.card_range, smul_eq_mul, mul_one] by_cases hij : j < i · exact hle _ hij.le · rw [← Finset.sum_range_add_sum_Ico _ (not_lt.1 hij)] suffices (∑ k ∈ Finset.Ico i j, (s (k + 1)).indicator 1 ω) = 0 by rw [this, add_zero] exact hle _ le_rfl refine Finset.sum_eq_zero fun m hm ↦ ?_ exact Set.indicator_of_not_mem (hcon _ <| (Finset.mem_Ico.1 hm).1.trans m.le_succ) _ exact not_le.2 (lt_of_lt_of_le i.lt_succ_self <| h _ le_rfl) this
0
import Mathlib.Order.Filter.Basic import Mathlib.Data.PFun #align_import order.filter.partial from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205" universe u v w namespace Filter variable {α : Type u} {β : Type v} {γ : Type w} open Filter def rmap (r : Rel α β) (l : Filter α) : Filter β where sets := { s | r.core s ∈ l } univ_sets := by simp sets_of_superset hs st := mem_of_superset hs (Rel.core_mono _ st) inter_sets hs ht := by simp only [Set.mem_setOf_eq] convert inter_mem hs ht rw [← Rel.core_inter] #align filter.rmap Filter.rmap theorem rmap_sets (r : Rel α β) (l : Filter α) : (l.rmap r).sets = r.core ⁻¹' l.sets := rfl #align filter.rmap_sets Filter.rmap_sets @[simp] theorem mem_rmap (r : Rel α β) (l : Filter α) (s : Set β) : s ∈ l.rmap r ↔ r.core s ∈ l := Iff.rfl #align filter.mem_rmap Filter.mem_rmap @[simp] theorem rmap_rmap (r : Rel α β) (s : Rel β γ) (l : Filter α) : rmap s (rmap r l) = rmap (r.comp s) l := filter_eq <| by simp [rmap_sets, Set.preimage, Rel.core_comp] #align filter.rmap_rmap Filter.rmap_rmap @[simp] theorem rmap_compose (r : Rel α β) (s : Rel β γ) : rmap s ∘ rmap r = rmap (r.comp s) := funext <| rmap_rmap _ _ #align filter.rmap_compose Filter.rmap_compose def RTendsto (r : Rel α β) (l₁ : Filter α) (l₂ : Filter β) := l₁.rmap r ≤ l₂ #align filter.rtendsto Filter.RTendsto theorem rtendsto_def (r : Rel α β) (l₁ : Filter α) (l₂ : Filter β) : RTendsto r l₁ l₂ ↔ ∀ s ∈ l₂, r.core s ∈ l₁ := Iff.rfl #align filter.rtendsto_def Filter.rtendsto_def def rcomap (r : Rel α β) (f : Filter β) : Filter α where sets := Rel.image (fun s t => r.core s ⊆ t) f.sets univ_sets := ⟨Set.univ, univ_mem, Set.subset_univ _⟩ sets_of_superset := fun ⟨a', ha', ma'a⟩ ab => ⟨a', ha', ma'a.trans ab⟩ inter_sets := fun ⟨a', ha₁, ha₂⟩ ⟨b', hb₁, hb₂⟩ => ⟨a' ∩ b', inter_mem ha₁ hb₁, (r.core_inter a' b').subset.trans (Set.inter_subset_inter ha₂ hb₂)⟩ #align filter.rcomap Filter.rcomap theorem rcomap_sets (r : Rel α β) (f : Filter β) : (rcomap r f).sets = Rel.image (fun s t => r.core s ⊆ t) f.sets := rfl #align filter.rcomap_sets Filter.rcomap_sets theorem rcomap_rcomap (r : Rel α β) (s : Rel β γ) (l : Filter γ) : rcomap r (rcomap s l) = rcomap (r.comp s) l := filter_eq <| by ext t; simp [rcomap_sets, Rel.image, Rel.core_comp]; constructor · rintro ⟨u, ⟨v, vsets, hv⟩, h⟩ exact ⟨v, vsets, Set.Subset.trans (Rel.core_mono _ hv) h⟩ rintro ⟨t, tsets, ht⟩ exact ⟨Rel.core s t, ⟨t, tsets, Set.Subset.rfl⟩, ht⟩ #align filter.rcomap_rcomap Filter.rcomap_rcomap @[simp] theorem rcomap_compose (r : Rel α β) (s : Rel β γ) : rcomap r ∘ rcomap s = rcomap (r.comp s) := funext <| rcomap_rcomap _ _ #align filter.rcomap_compose Filter.rcomap_compose
Mathlib/Order/Filter/Partial.lean
130
136
theorem rtendsto_iff_le_rcomap (r : Rel α β) (l₁ : Filter α) (l₂ : Filter β) : RTendsto r l₁ l₂ ↔ l₁ ≤ l₂.rcomap r := by
rw [rtendsto_def] simp_rw [← l₂.mem_sets] simp [Filter.le_def, rcomap, Rel.mem_image]; constructor · exact fun h s t tl₂ => mem_of_superset (h t tl₂) · exact fun h t tl₂ => h _ t tl₂ Set.Subset.rfl
0
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Exponent #align_import group_theory.specific_groups.dihedral from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" inductive DihedralGroup (n : ℕ) : Type | r : ZMod n → DihedralGroup n | sr : ZMod n → DihedralGroup n deriving DecidableEq #align dihedral_group DihedralGroup namespace DihedralGroup variable {n : ℕ} private def mul : DihedralGroup n → DihedralGroup n → DihedralGroup n | r i, r j => r (i + j) | r i, sr j => sr (j - i) | sr i, r j => sr (i + j) | sr i, sr j => r (j - i) private def one : DihedralGroup n := r 0 instance : Inhabited (DihedralGroup n) := ⟨one⟩ private def inv : DihedralGroup n → DihedralGroup n | r i => r (-i) | sr i => sr i instance : Group (DihedralGroup n) where mul := mul mul_assoc := by rintro (a | a) (b | b) (c | c) <;> simp only [(· * ·), mul] <;> ring_nf one := one one_mul := by rintro (a | a) · exact congr_arg r (zero_add a) · exact congr_arg sr (sub_zero a) mul_one := by rintro (a | a) · exact congr_arg r (add_zero a) · exact congr_arg sr (add_zero a) inv := inv mul_left_inv := by rintro (a | a) · exact congr_arg r (neg_add_self a) · exact congr_arg r (sub_self a) @[simp] theorem r_mul_r (i j : ZMod n) : r i * r j = r (i + j) := rfl #align dihedral_group.r_mul_r DihedralGroup.r_mul_r @[simp] theorem r_mul_sr (i j : ZMod n) : r i * sr j = sr (j - i) := rfl #align dihedral_group.r_mul_sr DihedralGroup.r_mul_sr @[simp] theorem sr_mul_r (i j : ZMod n) : sr i * r j = sr (i + j) := rfl #align dihedral_group.sr_mul_r DihedralGroup.sr_mul_r @[simp] theorem sr_mul_sr (i j : ZMod n) : sr i * sr j = r (j - i) := rfl #align dihedral_group.sr_mul_sr DihedralGroup.sr_mul_sr theorem one_def : (1 : DihedralGroup n) = r 0 := rfl #align dihedral_group.one_def DihedralGroup.one_def private def fintypeHelper : Sum (ZMod n) (ZMod n) ≃ DihedralGroup n where invFun i := match i with | r j => Sum.inl j | sr j => Sum.inr j toFun i := match i with | Sum.inl j => r j | Sum.inr j => sr j left_inv := by rintro (x | x) <;> rfl right_inv := by rintro (x | x) <;> rfl instance [NeZero n] : Fintype (DihedralGroup n) := Fintype.ofEquiv _ fintypeHelper instance : Infinite (DihedralGroup 0) := DihedralGroup.fintypeHelper.infinite_iff.mp inferInstance instance : Nontrivial (DihedralGroup n) := ⟨⟨r 0, sr 0, by simp_rw [ne_eq, not_false_eq_true]⟩⟩ theorem card [NeZero n] : Fintype.card (DihedralGroup n) = 2 * n := by rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul] #align dihedral_group.card DihedralGroup.card theorem nat_card : Nat.card (DihedralGroup n) = 2 * n := by cases n · rw [Nat.card_eq_zero_of_infinite] · rw [Nat.card_eq_fintype_card, card] @[simp] theorem r_one_pow (k : ℕ) : (r 1 : DihedralGroup n) ^ k = r k := by induction' k with k IH · rw [Nat.cast_zero] rfl · rw [pow_succ', IH, r_mul_r] congr 1 norm_cast rw [Nat.one_add] #align dihedral_group.r_one_pow DihedralGroup.r_one_pow -- @[simp] -- Porting note: simp changes the goal to `r 0 = 1`. `r_one_pow_n` is no longer useful. theorem r_one_pow_n : r (1 : ZMod n) ^ n = 1 := by rw [r_one_pow, one_def] congr 1 exact ZMod.natCast_self _ #align dihedral_group.r_one_pow_n DihedralGroup.r_one_pow_n -- @[simp] -- Porting note: simp changes the goal to `r 0 = 1`. `sr_mul_self` is no longer useful.
Mathlib/GroupTheory/SpecificGroups/Dihedral.lean
153
153
theorem sr_mul_self (i : ZMod n) : sr i * sr i = 1 := by
rw [sr_mul_sr, sub_self, one_def]
0
import Mathlib.Data.Finset.Pointwise import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.DFinsupp.Order import Mathlib.Order.Interval.Finset.Basic #align_import data.dfinsupp.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" open DFinsupp Finset open Pointwise variable {ι : Type*} {α : ι → Type*} open Finset namespace DFinsupp section BundledIcc variable [∀ i, Zero (α i)] [∀ i, PartialOrder (α i)] [∀ i, LocallyFiniteOrder (α i)] {f g : Π₀ i, α i} {i : ι} {a : α i} def rangeIcc (f g : Π₀ i, α i) : Π₀ i, Finset (α i) where toFun i := Icc (f i) (g i) support' := f.support'.bind fun fs => g.support'.map fun gs => ⟨ fs.1 + gs.1, fun i => or_iff_not_imp_left.2 fun h => by have hf : f i = 0 := (fs.prop i).resolve_left (Multiset.not_mem_mono (Multiset.Le.subset <| Multiset.le_add_right _ _) h) have hg : g i = 0 := (gs.prop i).resolve_left (Multiset.not_mem_mono (Multiset.Le.subset <| Multiset.le_add_left _ _) h) -- Porting note: was rw, but was rewriting under lambda, so changed to simp_rw simp_rw [hf, hg] exact Icc_self _⟩ #align dfinsupp.range_Icc DFinsupp.rangeIcc @[simp] theorem rangeIcc_apply (f g : Π₀ i, α i) (i : ι) : f.rangeIcc g i = Icc (f i) (g i) := rfl #align dfinsupp.range_Icc_apply DFinsupp.rangeIcc_apply theorem mem_rangeIcc_apply_iff : a ∈ f.rangeIcc g i ↔ f i ≤ a ∧ a ≤ g i := mem_Icc #align dfinsupp.mem_range_Icc_apply_iff DFinsupp.mem_rangeIcc_apply_iff
Mathlib/Data/DFinsupp/Interval.lean
125
132
theorem support_rangeIcc_subset [DecidableEq ι] [∀ i, DecidableEq (α i)] : (f.rangeIcc g).support ⊆ f.support ∪ g.support := by
refine fun x hx => ?_ by_contra h refine not_mem_support_iff.2 ?_ hx rw [rangeIcc_apply, not_mem_support_iff.1 (not_mem_mono subset_union_left h), not_mem_support_iff.1 (not_mem_mono subset_union_right h)] exact Icc_self _
0
import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Data.Set.Function #align_import analysis.sum_integral_comparisons from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Set MeasureTheory.MeasureSpace variable {x₀ : ℝ} {a b : ℕ} {f : ℝ → ℝ} theorem AntitoneOn.integral_le_sum (hf : AntitoneOn f (Icc x₀ (x₀ + a))) : (∫ x in x₀..x₀ + a, f x) ≤ ∑ i ∈ Finset.range a, f (x₀ + i) := by have hint : ∀ k : ℕ, k < a → IntervalIntegrable f volume (x₀ + k) (x₀ + (k + 1 : ℕ)) := by intro k hk refine (hf.mono ?_).intervalIntegrable rw [uIcc_of_le] · apply Icc_subset_Icc · simp only [le_add_iff_nonneg_right, Nat.cast_nonneg] · simp only [add_le_add_iff_left, Nat.cast_le, Nat.succ_le_of_lt hk] · simp only [add_le_add_iff_left, Nat.cast_le, Nat.le_succ] calc ∫ x in x₀..x₀ + a, f x = ∑ i ∈ Finset.range a, ∫ x in x₀ + i..x₀ + (i + 1 : ℕ), f x := by convert (intervalIntegral.sum_integral_adjacent_intervals hint).symm simp only [Nat.cast_zero, add_zero] _ ≤ ∑ i ∈ Finset.range a, ∫ _ in x₀ + i..x₀ + (i + 1 : ℕ), f (x₀ + i) := by apply Finset.sum_le_sum fun i hi => ?_ have ia : i < a := Finset.mem_range.1 hi refine intervalIntegral.integral_mono_on (by simp) (hint _ ia) (by simp) fun x hx => ?_ apply hf _ _ hx.1 · simp only [ia.le, mem_Icc, le_add_iff_nonneg_right, Nat.cast_nonneg, add_le_add_iff_left, Nat.cast_le, and_self_iff] · refine mem_Icc.2 ⟨le_trans (by simp) hx.1, le_trans hx.2 ?_⟩ simp only [add_le_add_iff_left, Nat.cast_le, Nat.succ_le_of_lt ia] _ = ∑ i ∈ Finset.range a, f (x₀ + i) := by simp #align antitone_on.integral_le_sum AntitoneOn.integral_le_sum theorem AntitoneOn.integral_le_sum_Ico (hab : a ≤ b) (hf : AntitoneOn f (Set.Icc a b)) : (∫ x in a..b, f x) ≤ ∑ x ∈ Finset.Ico a b, f x := by rw [(Nat.sub_add_cancel hab).symm, Nat.cast_add] conv => congr congr · skip · skip rw [add_comm] · skip · skip congr congr rw [← zero_add a] rw [← Finset.sum_Ico_add, Nat.Ico_zero_eq_range] conv => rhs congr · skip ext rw [Nat.cast_add] apply AntitoneOn.integral_le_sum simp only [hf, hab, Nat.cast_sub, add_sub_cancel] #align antitone_on.integral_le_sum_Ico AntitoneOn.integral_le_sum_Ico theorem AntitoneOn.sum_le_integral (hf : AntitoneOn f (Icc x₀ (x₀ + a))) : (∑ i ∈ Finset.range a, f (x₀ + (i + 1 : ℕ))) ≤ ∫ x in x₀..x₀ + a, f x := by have hint : ∀ k : ℕ, k < a → IntervalIntegrable f volume (x₀ + k) (x₀ + (k + 1 : ℕ)) := by intro k hk refine (hf.mono ?_).intervalIntegrable rw [uIcc_of_le] · apply Icc_subset_Icc · simp only [le_add_iff_nonneg_right, Nat.cast_nonneg] · simp only [add_le_add_iff_left, Nat.cast_le, Nat.succ_le_of_lt hk] · simp only [add_le_add_iff_left, Nat.cast_le, Nat.le_succ] calc (∑ i ∈ Finset.range a, f (x₀ + (i + 1 : ℕ))) = ∑ i ∈ Finset.range a, ∫ _ in x₀ + i..x₀ + (i + 1 : ℕ), f (x₀ + (i + 1 : ℕ)) := by simp _ ≤ ∑ i ∈ Finset.range a, ∫ x in x₀ + i..x₀ + (i + 1 : ℕ), f x := by apply Finset.sum_le_sum fun i hi => ?_ have ia : i + 1 ≤ a := Finset.mem_range.1 hi refine intervalIntegral.integral_mono_on (by simp) (by simp) (hint _ ia) fun x hx => ?_ apply hf _ _ hx.2 · refine mem_Icc.2 ⟨le_trans ((le_add_iff_nonneg_right _).2 (Nat.cast_nonneg _)) hx.1, le_trans hx.2 ?_⟩ simp only [Nat.cast_le, add_le_add_iff_left, ia] · refine mem_Icc.2 ⟨(le_add_iff_nonneg_right _).2 (Nat.cast_nonneg _), ?_⟩ simp only [add_le_add_iff_left, Nat.cast_le, ia] _ = ∫ x in x₀..x₀ + a, f x := by convert intervalIntegral.sum_integral_adjacent_intervals hint simp only [Nat.cast_zero, add_zero] #align antitone_on.sum_le_integral AntitoneOn.sum_le_integral
Mathlib/Analysis/SumIntegralComparisons.lean
126
147
theorem AntitoneOn.sum_le_integral_Ico (hab : a ≤ b) (hf : AntitoneOn f (Set.Icc a b)) : (∑ i ∈ Finset.Ico a b, f (i + 1 : ℕ)) ≤ ∫ x in a..b, f x := by
rw [(Nat.sub_add_cancel hab).symm, Nat.cast_add] conv => congr congr congr rw [← zero_add a] · skip · skip · skip rw [add_comm] rw [← Finset.sum_Ico_add, Nat.Ico_zero_eq_range] conv => lhs congr congr · skip ext rw [add_assoc, Nat.cast_add] apply AntitoneOn.sum_le_integral simp only [hf, hab, Nat.cast_sub, add_sub_cancel]
0
import Mathlib.Algebra.CharP.Defs import Mathlib.RingTheory.Multiplicity import Mathlib.RingTheory.PowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Polynomial open Finset (antidiagonal mem_antidiagonal) namespace PowerSeries open Finsupp (single) variable {R : Type*} section OrderBasic open multiplicity variable [Semiring R] {φ : R⟦X⟧} theorem exists_coeff_ne_zero_iff_ne_zero : (∃ n : ℕ, coeff R n φ ≠ 0) ↔ φ ≠ 0 := by refine not_iff_not.mp ?_ push_neg -- FIXME: the `FunLike.coe` doesn't seem to be picked up in the expression after #8386? simp [PowerSeries.ext_iff, (coeff R _).map_zero] #align power_series.exists_coeff_ne_zero_iff_ne_zero PowerSeries.exists_coeff_ne_zero_iff_ne_zero def order (φ : R⟦X⟧) : PartENat := letI := Classical.decEq R letI := Classical.decEq R⟦X⟧ if h : φ = 0 then ⊤ else Nat.find (exists_coeff_ne_zero_iff_ne_zero.mpr h) #align power_series.order PowerSeries.order @[simp] theorem order_zero : order (0 : R⟦X⟧) = ⊤ := dif_pos rfl #align power_series.order_zero PowerSeries.order_zero theorem order_finite_iff_ne_zero : (order φ).Dom ↔ φ ≠ 0 := by simp only [order] constructor · split_ifs with h <;> intro H · simp only [PartENat.top_eq_none, Part.not_none_dom] at H · exact h · intro h simp [h] #align power_series.order_finite_iff_ne_zero PowerSeries.order_finite_iff_ne_zero theorem coeff_order (h : (order φ).Dom) : coeff R (φ.order.get h) φ ≠ 0 := by classical simp only [order, order_finite_iff_ne_zero.mp h, not_false_iff, dif_neg, PartENat.get_natCast'] generalize_proofs h exact Nat.find_spec h #align power_series.coeff_order PowerSeries.coeff_order theorem order_le (n : ℕ) (h : coeff R n φ ≠ 0) : order φ ≤ n := by classical rw [order, dif_neg] · simp only [PartENat.coe_le_coe] exact Nat.find_le h · exact exists_coeff_ne_zero_iff_ne_zero.mp ⟨n, h⟩ #align power_series.order_le PowerSeries.order_le theorem coeff_of_lt_order (n : ℕ) (h : ↑n < order φ) : coeff R n φ = 0 := by contrapose! h exact order_le _ h #align power_series.coeff_of_lt_order PowerSeries.coeff_of_lt_order @[simp] theorem order_eq_top {φ : R⟦X⟧} : φ.order = ⊤ ↔ φ = 0 := PartENat.not_dom_iff_eq_top.symm.trans order_finite_iff_ne_zero.not_left #align power_series.order_eq_top PowerSeries.order_eq_top
Mathlib/RingTheory/PowerSeries/Order.lean
112
116
theorem nat_le_order (φ : R⟦X⟧) (n : ℕ) (h : ∀ i < n, coeff R i φ = 0) : ↑n ≤ order φ := by
by_contra H; rw [not_le] at H have : (order φ).Dom := PartENat.dom_of_le_natCast H.le rw [← PartENat.natCast_get this, PartENat.coe_lt_coe] at H exact coeff_order this (h _ H)
0
import Mathlib.Data.Fintype.Card import Mathlib.Data.Finset.Sum import Mathlib.Logic.Embedding.Set #align_import data.fintype.sum from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" universe u v variable {α β : Type*} open Finset instance (α : Type u) (β : Type v) [Fintype α] [Fintype β] : Fintype (Sum α β) where elems := univ.disjSum univ complete := by rintro (_ | _) <;> simp @[simp] theorem Finset.univ_disjSum_univ {α β : Type*} [Fintype α] [Fintype β] : univ.disjSum univ = (univ : Finset (Sum α β)) := rfl #align finset.univ_disj_sum_univ Finset.univ_disjSum_univ @[simp] theorem Fintype.card_sum [Fintype α] [Fintype β] : Fintype.card (Sum α β) = Fintype.card α + Fintype.card β := card_disjSum _ _ #align fintype.card_sum Fintype.card_sum def fintypeOfFintypeNe (a : α) (h : Fintype { b // b ≠ a }) : Fintype α := Fintype.ofBijective (Sum.elim ((↑) : { b // b = a } → α) ((↑) : { b // b ≠ a } → α)) <| by classical exact (Equiv.sumCompl (· = a)).bijective #align fintype_of_fintype_ne fintypeOfFintypeNe theorem image_subtype_ne_univ_eq_image_erase [Fintype α] [DecidableEq β] (k : β) (b : α → β) : image (fun i : { a // b a ≠ k } => b ↑i) univ = (image b univ).erase k := by apply subset_antisymm · rw [image_subset_iff] intro i _ apply mem_erase_of_ne_of_mem i.2 (mem_image_of_mem _ (mem_univ _)) · intro i hi rw [mem_image] rcases mem_image.1 (erase_subset _ _ hi) with ⟨a, _, ha⟩ subst ha exact ⟨⟨a, ne_of_mem_erase hi⟩, mem_univ _, rfl⟩ #align image_subtype_ne_univ_eq_image_erase image_subtype_ne_univ_eq_image_erase
Mathlib/Data/Fintype/Sum.lean
60
74
theorem image_subtype_univ_ssubset_image_univ [Fintype α] [DecidableEq β] (k : β) (b : α → β) (hk : k ∈ Finset.image b univ) (p : β → Prop) [DecidablePred p] (hp : ¬p k) : image (fun i : { a // p (b a) } => b ↑i) univ ⊂ image b univ := by
constructor · intro x hx rcases mem_image.1 hx with ⟨y, _, hy⟩ exact hy ▸ mem_image_of_mem b (mem_univ (y : α)) · intro h rw [mem_image] at hk rcases hk with ⟨k', _, hk'⟩ subst hk' have := h (mem_image_of_mem b (mem_univ k')) rw [mem_image] at this rcases this with ⟨j, _, hj'⟩ exact hp (hj' ▸ j.2)
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 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 _ _) #align matrix.rank_mul_le_left Matrix.rank_mul_le_left theorem rank_mul_le_right [StrongRankCondition R] (A : Matrix m n R) (B : Matrix n o R) : (A * B).rank ≤ B.rank := by rw [rank, rank, mulVecLin_mul] exact finrank_le_finrank_of_rank_le_rank (LinearMap.lift_rank_comp_le_right _ _) (rank_lt_aleph0 _ _) #align matrix.rank_mul_le_right Matrix.rank_mul_le_right theorem rank_mul_le [StrongRankCondition R] (A : Matrix m n R) (B : Matrix n o R) : (A * B).rank ≤ min A.rank B.rank := le_min (rank_mul_le_left _ _) (rank_mul_le_right _ _) #align matrix.rank_mul_le Matrix.rank_mul_le theorem rank_unit [StrongRankCondition R] [DecidableEq n] (A : (Matrix n n R)ˣ) : (A : Matrix n n R).rank = Fintype.card n := by apply le_antisymm (rank_le_card_width (A : Matrix n n R)) _ have := rank_mul_le_left (A : Matrix n n R) (↑A⁻¹ : Matrix n n R) rwa [← Units.val_mul, mul_inv_self, Units.val_one, rank_one] at this #align matrix.rank_unit Matrix.rank_unit theorem rank_of_isUnit [StrongRankCondition R] [DecidableEq n] (A : Matrix n n R) (h : IsUnit A) : A.rank = Fintype.card n := by obtain ⟨A, rfl⟩ := h exact rank_unit A #align matrix.rank_of_is_unit Matrix.rank_of_isUnit @[simp] lemma rank_mul_eq_left_of_isUnit_det [DecidableEq n] (A : Matrix n n R) (B : Matrix m n R) (hA : IsUnit A.det) : (B * A).rank = B.rank := by suffices Function.Surjective A.mulVecLin by rw [rank, mulVecLin_mul, LinearMap.range_comp_of_range_eq_top _ (LinearMap.range_eq_top.mpr this), ← rank] intro v exact ⟨(A⁻¹).mulVecLin v, by simp [mul_nonsing_inv _ hA]⟩ @[simp] lemma rank_mul_eq_right_of_isUnit_det [Fintype m] [DecidableEq m] (A : Matrix m m R) (B : Matrix m n R) (hA : IsUnit A.det) : (A * B).rank = B.rank := by let b : Basis m R (m → R) := Pi.basisFun R m replace hA : IsUnit (LinearMap.toMatrix b b A.mulVecLin).det := by convert hA; rw [← LinearEquiv.eq_symm_apply]; rfl have hAB : mulVecLin (A * B) = (LinearEquiv.ofIsUnitDet hA).comp (mulVecLin B) := by ext; simp rw [rank, rank, hAB, LinearMap.range_comp, LinearEquiv.finrank_map_eq]
Mathlib/Data/Matrix/Rank.lean
125
130
theorem rank_submatrix_le [StrongRankCondition R] [Fintype m] (f : n → m) (e : n ≃ m) (A : Matrix m m R) : rank (A.submatrix f e) ≤ rank A := by
rw [rank, rank, mulVecLin_submatrix, LinearMap.range_comp, LinearMap.range_comp, show LinearMap.funLeft R R e.symm = LinearEquiv.funCongrLeft R R e.symm from rfl, LinearEquiv.range, Submodule.map_top] exact Submodule.finrank_map_le _ _
0
import Mathlib.Init.Align import Mathlib.Data.Fintype.Order import Mathlib.Algebra.DirectLimit import Mathlib.ModelTheory.Quotients import Mathlib.ModelTheory.FinitelyGenerated #align_import model_theory.direct_limit from "leanprover-community/mathlib"@"f53b23994ac4c13afa38d31195c588a1121d1860" universe v w w' u₁ u₂ open FirstOrder namespace FirstOrder namespace Language open Structure Set variable {L : Language} {ι : Type v} [Preorder ι] variable {G : ι → Type w} [∀ i, L.Structure (G i)] variable (f : ∀ i j, i ≤ j → G i ↪[L] G j) namespace DirectedSystem nonrec theorem map_self [DirectedSystem G fun i j h => f i j h] (i x h) : f i i h x = x := DirectedSystem.map_self (fun i j h => f i j h) i x h #align first_order.language.directed_system.map_self FirstOrder.Language.DirectedSystem.map_self nonrec theorem map_map [DirectedSystem G fun i j h => f i j h] {i j k} (hij hjk x) : f j k hjk (f i j hij x) = f i k (le_trans hij hjk) x := DirectedSystem.map_map (fun i j h => f i j h) hij hjk x #align first_order.language.directed_system.map_map FirstOrder.Language.DirectedSystem.map_map variable {G' : ℕ → Type w} [∀ i, L.Structure (G' i)] (f' : ∀ n : ℕ, G' n ↪[L] G' (n + 1)) def natLERec (m n : ℕ) (h : m ≤ n) : G' m ↪[L] G' n := Nat.leRecOn h (@fun k g => (f' k).comp g) (Embedding.refl L _) #align first_order.language.directed_system.nat_le_rec FirstOrder.Language.DirectedSystem.natLERec @[simp]
Mathlib/ModelTheory/DirectLimit.lean
67
76
theorem coe_natLERec (m n : ℕ) (h : m ≤ n) : (natLERec f' m n h : G' m → G' n) = Nat.leRecOn h (@fun k => f' k) := by
obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_le h ext x induction' k with k ih · -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [natLERec, Nat.leRecOn_self, Embedding.refl_apply, Nat.leRecOn_self] · -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [Nat.leRecOn_succ le_self_add, natLERec, Nat.leRecOn_succ le_self_add, ← natLERec, Embedding.comp_apply, ih]
0
import Mathlib.FieldTheory.RatFunc.Defs import Mathlib.RingTheory.EuclideanDomain import Mathlib.RingTheory.Localization.FractionRing import Mathlib.RingTheory.Polynomial.Content #align_import field_theory.ratfunc from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6" universe u v noncomputable section open scoped Classical open scoped nonZeroDivisors Polynomial variable {K : Type u} namespace RatFunc section Field variable [CommRing K] protected irreducible_def zero : RatFunc K := ⟨0⟩ #align ratfunc.zero RatFunc.zero instance : Zero (RatFunc K) := ⟨RatFunc.zero⟩ -- Porting note: added `OfNat.ofNat`. using `simp?` produces `simp only [zero_def]` -- that does not close the goal theorem ofFractionRing_zero : (ofFractionRing 0 : RatFunc K) = 0 := by simp only [Zero.zero, OfNat.ofNat, RatFunc.zero] #align ratfunc.of_fraction_ring_zero RatFunc.ofFractionRing_zero protected irreducible_def add : RatFunc K → RatFunc K → RatFunc K | ⟨p⟩, ⟨q⟩ => ⟨p + q⟩ #align ratfunc.add RatFunc.add instance : Add (RatFunc K) := ⟨RatFunc.add⟩ -- Porting note: added `HAdd.hAdd`. using `simp?` produces `simp only [add_def]` -- that does not close the goal theorem ofFractionRing_add (p q : FractionRing K[X]) : ofFractionRing (p + q) = ofFractionRing p + ofFractionRing q := by simp only [HAdd.hAdd, Add.add, RatFunc.add] #align ratfunc.of_fraction_ring_add RatFunc.ofFractionRing_add protected irreducible_def sub : RatFunc K → RatFunc K → RatFunc K | ⟨p⟩, ⟨q⟩ => ⟨p - q⟩ #align ratfunc.sub RatFunc.sub instance : Sub (RatFunc K) := ⟨RatFunc.sub⟩ -- Porting note: added `HSub.hSub`. using `simp?` produces `simp only [sub_def]` -- that does not close the goal theorem ofFractionRing_sub (p q : FractionRing K[X]) : ofFractionRing (p - q) = ofFractionRing p - ofFractionRing q := by simp only [Sub.sub, HSub.hSub, RatFunc.sub] #align ratfunc.of_fraction_ring_sub RatFunc.ofFractionRing_sub protected irreducible_def neg : RatFunc K → RatFunc K | ⟨p⟩ => ⟨-p⟩ #align ratfunc.neg RatFunc.neg instance : Neg (RatFunc K) := ⟨RatFunc.neg⟩ theorem ofFractionRing_neg (p : FractionRing K[X]) : ofFractionRing (-p) = -ofFractionRing p := by simp only [Neg.neg, RatFunc.neg] #align ratfunc.of_fraction_ring_neg RatFunc.ofFractionRing_neg protected irreducible_def one : RatFunc K := ⟨1⟩ #align ratfunc.one RatFunc.one instance : One (RatFunc K) := ⟨RatFunc.one⟩ -- Porting note: added `OfNat.ofNat`. using `simp?` produces `simp only [one_def]` -- that does not close the goal theorem ofFractionRing_one : (ofFractionRing 1 : RatFunc K) = 1 := by simp only [One.one, OfNat.ofNat, RatFunc.one] #align ratfunc.of_fraction_ring_one RatFunc.ofFractionRing_one protected irreducible_def mul : RatFunc K → RatFunc K → RatFunc K | ⟨p⟩, ⟨q⟩ => ⟨p * q⟩ #align ratfunc.mul RatFunc.mul instance : Mul (RatFunc K) := ⟨RatFunc.mul⟩ -- Porting note: added `HMul.hMul`. using `simp?` produces `simp only [mul_def]` -- that does not close the goal theorem ofFractionRing_mul (p q : FractionRing K[X]) : ofFractionRing (p * q) = ofFractionRing p * ofFractionRing q := by simp only [Mul.mul, HMul.hMul, RatFunc.mul] #align ratfunc.of_fraction_ring_mul RatFunc.ofFractionRing_mul section SMul variable {R : Type*} protected irreducible_def smul [SMul R (FractionRing K[X])] : R → RatFunc K → RatFunc K | r, ⟨p⟩ => ⟨r • p⟩ #align ratfunc.smul RatFunc.smul -- cannot reproduce --@[nolint fails_quickly] -- Porting note: `linter 'fails_quickly' not found` instance [SMul R (FractionRing K[X])] : SMul R (RatFunc K) := ⟨RatFunc.smul⟩ -- Porting note: added `SMul.hSMul`. using `simp?` produces `simp only [smul_def]` -- that does not close the goal theorem ofFractionRing_smul [SMul R (FractionRing K[X])] (c : R) (p : FractionRing K[X]) : ofFractionRing (c • p) = c • ofFractionRing p := by simp only [SMul.smul, HSMul.hSMul, RatFunc.smul] #align ratfunc.of_fraction_ring_smul RatFunc.ofFractionRing_smul theorem toFractionRing_smul [SMul R (FractionRing K[X])] (c : R) (p : RatFunc K) : toFractionRing (c • p) = c • toFractionRing p := by cases p rw [← ofFractionRing_smul] #align ratfunc.to_fraction_ring_smul RatFunc.toFractionRing_smul
Mathlib/FieldTheory/RatFunc/Basic.lean
220
225
theorem smul_eq_C_smul (x : RatFunc K) (r : K) : r • x = Polynomial.C r • x := by
cases' x with x -- Porting note: had to specify the induction principle manually induction x using Localization.induction_on rw [← ofFractionRing_smul, ← ofFractionRing_smul, Localization.smul_mk, Localization.smul_mk, smul_eq_mul, Polynomial.smul_eq_C_mul]
0
import Mathlib.AlgebraicGeometry.Gluing import Mathlib.CategoryTheory.Limits.Opposites import Mathlib.AlgebraicGeometry.AffineScheme import Mathlib.CategoryTheory.Limits.Shapes.Diagonal #align_import algebraic_geometry.pullbacks from "leanprover-community/mathlib"@"7316286ff2942aa14e540add9058c6b0aa1c8070" set_option linter.uppercaseLean3 false universe v u noncomputable section open CategoryTheory CategoryTheory.Limits AlgebraicGeometry namespace AlgebraicGeometry.Scheme namespace Pullback variable {C : Type u} [Category.{v} C] variable {X Y Z : Scheme.{u}} (𝒰 : OpenCover.{u} X) (f : X ⟶ Z) (g : Y ⟶ Z) variable [∀ i, HasPullback (𝒰.map i ≫ f) g] def v (i j : 𝒰.J) : Scheme := pullback ((pullback.fst : pullback (𝒰.map i ≫ f) g ⟶ _) ≫ 𝒰.map i) (𝒰.map j) #align algebraic_geometry.Scheme.pullback.V AlgebraicGeometry.Scheme.Pullback.v def t (i j : 𝒰.J) : v 𝒰 f g i j ⟶ v 𝒰 f g j i := by have : HasPullback (pullback.snd ≫ 𝒰.map i ≫ f) g := hasPullback_assoc_symm (𝒰.map j) (𝒰.map i) (𝒰.map i ≫ f) g have : HasPullback (pullback.snd ≫ 𝒰.map j ≫ f) g := hasPullback_assoc_symm (𝒰.map i) (𝒰.map j) (𝒰.map j ≫ f) g refine (pullbackSymmetry ..).hom ≫ (pullbackAssoc ..).inv ≫ ?_ refine ?_ ≫ (pullbackAssoc ..).hom ≫ (pullbackSymmetry ..).hom refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_ · rw [pullbackSymmetry_hom_comp_snd_assoc, pullback.condition_assoc, Category.comp_id] · rw [Category.comp_id, Category.id_comp] #align algebraic_geometry.Scheme.pullback.t AlgebraicGeometry.Scheme.Pullback.t @[simp, reassoc] theorem t_fst_fst (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.fst ≫ pullback.fst = pullback.snd := by simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_fst, pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_inv_fst_fst, pullbackSymmetry_hom_comp_fst] #align algebraic_geometry.Scheme.pullback.t_fst_fst AlgebraicGeometry.Scheme.Pullback.t_fst_fst @[simp, reassoc] theorem t_fst_snd (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.fst ≫ pullback.snd = pullback.fst ≫ pullback.snd := by simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_snd, pullback.lift_snd, Category.comp_id, pullbackAssoc_inv_snd, pullbackSymmetry_hom_comp_snd_assoc] #align algebraic_geometry.Scheme.pullback.t_fst_snd AlgebraicGeometry.Scheme.Pullback.t_fst_snd @[simp, reassoc] theorem t_snd (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.snd = pullback.fst ≫ pullback.fst := by simp only [t, Category.assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_hom_fst, pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_fst, pullbackAssoc_inv_fst_snd, pullbackSymmetry_hom_comp_snd_assoc] #align algebraic_geometry.Scheme.pullback.t_snd AlgebraicGeometry.Scheme.Pullback.t_snd theorem t_id (i : 𝒰.J) : t 𝒰 f g i i = 𝟙 _ := by apply pullback.hom_ext <;> rw [Category.id_comp] · apply pullback.hom_ext · rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, Category.assoc, t_fst_fst] · simp only [Category.assoc, t_fst_snd] · rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, t_snd, Category.assoc] #align algebraic_geometry.Scheme.pullback.t_id AlgebraicGeometry.Scheme.Pullback.t_id abbrev fV (i j : 𝒰.J) : v 𝒰 f g i j ⟶ pullback (𝒰.map i ≫ f) g := pullback.fst #align algebraic_geometry.Scheme.pullback.fV AlgebraicGeometry.Scheme.Pullback.fV def t' (i j k : 𝒰.J) : pullback (fV 𝒰 f g i j) (fV 𝒰 f g i k) ⟶ pullback (fV 𝒰 f g j k) (fV 𝒰 f g j i) := by refine (pullbackRightPullbackFstIso ..).hom ≫ ?_ refine ?_ ≫ (pullbackSymmetry _ _).hom refine ?_ ≫ (pullbackRightPullbackFstIso ..).inv refine pullback.map _ _ _ _ (t 𝒰 f g i j) (𝟙 _) (𝟙 _) ?_ ?_ · simp_rw [Category.comp_id, t_fst_fst_assoc, ← pullback.condition] · rw [Category.comp_id, Category.id_comp] #align algebraic_geometry.Scheme.pullback.t' AlgebraicGeometry.Scheme.Pullback.t' @[simp, reassoc] theorem t'_fst_fst_fst (i j k : 𝒰.J) : t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_fst, pullbackRightPullbackFstIso_hom_fst_assoc] #align algebraic_geometry.Scheme.pullback.t'_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_fst @[simp, reassoc]
Mathlib/AlgebraicGeometry/Pullbacks.lean
118
123
theorem t'_fst_fst_snd (i j k : 𝒰.J) : t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd = pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_snd, pullbackRightPullbackFstIso_hom_fst_assoc]
0
import Mathlib.Algebra.CharP.Defs import Mathlib.RingTheory.Multiplicity import Mathlib.RingTheory.PowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Polynomial open Finset (antidiagonal mem_antidiagonal) namespace PowerSeries open Finsupp (single) variable {R : Type*} section OrderBasic open multiplicity variable [Semiring R] {φ : R⟦X⟧} theorem exists_coeff_ne_zero_iff_ne_zero : (∃ n : ℕ, coeff R n φ ≠ 0) ↔ φ ≠ 0 := by refine not_iff_not.mp ?_ push_neg -- FIXME: the `FunLike.coe` doesn't seem to be picked up in the expression after #8386? simp [PowerSeries.ext_iff, (coeff R _).map_zero] #align power_series.exists_coeff_ne_zero_iff_ne_zero PowerSeries.exists_coeff_ne_zero_iff_ne_zero def order (φ : R⟦X⟧) : PartENat := letI := Classical.decEq R letI := Classical.decEq R⟦X⟧ if h : φ = 0 then ⊤ else Nat.find (exists_coeff_ne_zero_iff_ne_zero.mpr h) #align power_series.order PowerSeries.order @[simp] theorem order_zero : order (0 : R⟦X⟧) = ⊤ := dif_pos rfl #align power_series.order_zero PowerSeries.order_zero
Mathlib/RingTheory/PowerSeries/Order.lean
68
75
theorem order_finite_iff_ne_zero : (order φ).Dom ↔ φ ≠ 0 := by
simp only [order] constructor · split_ifs with h <;> intro H · simp only [PartENat.top_eq_none, Part.not_none_dom] at H · exact h · intro h simp [h]
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]
Mathlib/Probability/Kernel/Disintegration/Unique.lean
47
56
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]
0
import Mathlib.Order.Interval.Set.Basic import Mathlib.Data.Set.Function #align_import data.set.intervals.surj_on from "leanprover-community/mathlib"@"a59dad53320b73ef180174aae867addd707ef00e" variable {α : Type*} {β : Type*} [LinearOrder α] [PartialOrder β] {f : α → β} open Set Function open OrderDual (toDual)
Mathlib/Order/Interval/Set/SurjOn.lean
26
32
theorem surjOn_Ioo_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a b : α) : SurjOn f (Ioo a b) (Ioo (f a) (f b)) := by
intro p hp rcases h_surj p with ⟨x, rfl⟩ refine ⟨x, mem_Ioo.2 ?_, rfl⟩ contrapose! hp exact fun h => h.2.not_le (h_mono <| hp <| h_mono.reflect_lt h.1)
0
import Mathlib.CategoryTheory.Limits.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Shapes.CommSq import Mathlib.CategoryTheory.Limits.Shapes.RegularMono #align_import category_theory.limits.shapes.kernel_pair from "leanprover-community/mathlib"@"f6bab67886fb92c3e2f539cc90a83815f69a189d" universe v u u₂ namespace CategoryTheory open CategoryTheory CategoryTheory.Category CategoryTheory.Limits variable {C : Type u} [Category.{v} C] variable {R X Y Z : C} (f : X ⟶ Y) (a b : R ⟶ X) abbrev IsKernelPair := IsPullback a b f f #align category_theory.is_kernel_pair CategoryTheory.IsKernelPair namespace IsKernelPair instance : Subsingleton (IsKernelPair f a b) := ⟨fun P Q => by cases P cases Q congr ⟩ theorem id_of_mono [Mono f] : IsKernelPair f (𝟙 _) (𝟙 _) := ⟨⟨rfl⟩, ⟨PullbackCone.isLimitMkIdId _⟩⟩ #align category_theory.is_kernel_pair.id_of_mono CategoryTheory.IsKernelPair.id_of_mono instance [Mono f] : Inhabited (IsKernelPair f (𝟙 _) (𝟙 _)) := ⟨id_of_mono f⟩ variable {f a b} -- Porting note: `lift` and the two following simp lemmas were introduced to ease the port noncomputable def lift {S : C} (k : IsKernelPair f a b) (p q : S ⟶ X) (w : p ≫ f = q ≫ f) : S ⟶ R := PullbackCone.IsLimit.lift k.isLimit _ _ w @[reassoc (attr := simp)] lemma lift_fst {S : C} (k : IsKernelPair f a b) (p q : S ⟶ X) (w : p ≫ f = q ≫ f) : k.lift p q w ≫ a = p := PullbackCone.IsLimit.lift_fst _ _ _ _ @[reassoc (attr := simp)] lemma lift_snd {S : C} (k : IsKernelPair f a b) (p q : S ⟶ X) (w : p ≫ f = q ≫ f) : k.lift p q w ≫ b = q := PullbackCone.IsLimit.lift_snd _ _ _ _ noncomputable def lift' {S : C} (k : IsKernelPair f a b) (p q : S ⟶ X) (w : p ≫ f = q ≫ f) : { t : S ⟶ R // t ≫ a = p ∧ t ≫ b = q } := ⟨k.lift p q w, by simp⟩ #align category_theory.is_kernel_pair.lift' CategoryTheory.IsKernelPair.lift' theorem cancel_right {f₁ : X ⟶ Y} {f₂ : Y ⟶ Z} (comm : a ≫ f₁ = b ≫ f₁) (big_k : IsKernelPair (f₁ ≫ f₂) a b) : IsKernelPair f₁ a b := { w := comm isLimit' := ⟨PullbackCone.isLimitAux' _ fun s => by let s' : PullbackCone (f₁ ≫ f₂) (f₁ ≫ f₂) := PullbackCone.mk s.fst s.snd (s.condition_assoc _) refine ⟨big_k.isLimit.lift s', big_k.isLimit.fac _ WalkingCospan.left, big_k.isLimit.fac _ WalkingCospan.right, fun m₁ m₂ => ?_⟩ apply big_k.isLimit.hom_ext refine (PullbackCone.mk a b ?_ : PullbackCone (f₁ ≫ f₂) _).equalizer_ext ?_ ?_ · apply reassoc_of% comm · apply m₁.trans (big_k.isLimit.fac s' WalkingCospan.left).symm · apply m₂.trans (big_k.isLimit.fac s' WalkingCospan.right).symm⟩ } #align category_theory.is_kernel_pair.cancel_right CategoryTheory.IsKernelPair.cancel_right theorem cancel_right_of_mono {f₁ : X ⟶ Y} {f₂ : Y ⟶ Z} [Mono f₂] (big_k : IsKernelPair (f₁ ≫ f₂) a b) : IsKernelPair f₁ a b := cancel_right (by rw [← cancel_mono f₂, assoc, assoc, big_k.w]) big_k #align category_theory.is_kernel_pair.cancel_right_of_mono CategoryTheory.IsKernelPair.cancel_right_of_mono
Mathlib/CategoryTheory/Limits/Shapes/KernelPair.lean
139
150
theorem comp_of_mono {f₁ : X ⟶ Y} {f₂ : Y ⟶ Z} [Mono f₂] (small_k : IsKernelPair f₁ a b) : IsKernelPair (f₁ ≫ f₂) a b := { w := by
rw [small_k.w_assoc] isLimit' := ⟨by refine PullbackCone.isLimitAux _ (fun s => small_k.lift s.fst s.snd (by rw [← cancel_mono f₂, assoc, s.condition, assoc])) (by simp) (by simp) ?_ intro s m hm apply small_k.isLimit.hom_ext apply PullbackCone.equalizer_ext small_k.cone _ _ · exact (hm WalkingCospan.left).trans (by simp) · exact (hm WalkingCospan.right).trans (by simp)⟩ }
0
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.ZMod.Basic open Finset Nat namespace ZMod
Mathlib/Data/ZMod/Factorial.lean
31
42
theorem cast_descFactorial {n p : ℕ} (h : n ≤ p) : (descFactorial (p - 1) n : ZMod p) = (-1) ^ n * n ! := by
rw [descFactorial_eq_prod_range, ← prod_range_add_one_eq_factorial] simp only [cast_prod] nth_rw 2 [← card_range n] rw [pow_card_mul_prod] refine prod_congr rfl ?_ intro x hx rw [← tsub_add_eq_tsub_tsub_swap, Nat.cast_sub <| Nat.le_trans (Nat.add_one_le_iff.mpr (List.mem_range.mp hx)) h, CharP.cast_eq_zero, zero_sub, cast_succ, neg_add_rev, mul_add, neg_mul, one_mul, mul_one, add_comm]
0
import Mathlib.Algebra.Algebra.Tower import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.GroupTheory.MonoidLocalization import Mathlib.RingTheory.Ideal.Basic import Mathlib.GroupTheory.GroupAction.Ring #align_import ring_theory.localization.basic from "leanprover-community/mathlib"@"b69c9a770ecf37eb21f7b8cf4fa00de3b62694ec" open Function section CommSemiring variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S] variable [Algebra R S] {P : Type*} [CommSemiring P] @[mk_iff] class IsLocalization : Prop where -- Porting note: add ' to fields, and made new versions of these with either `S` or `M` explicit. map_units' : ∀ y : M, IsUnit (algebraMap R S y) surj' : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 exists_of_eq : ∀ {x y}, algebraMap R S x = algebraMap R S y → ∃ c : M, ↑c * x = ↑c * y #align is_localization IsLocalization variable {M} namespace IsLocalization section IsLocalization variable [IsLocalization M S] section @[inherit_doc IsLocalization.map_units'] theorem map_units : ∀ y : M, IsUnit (algebraMap R S y) := IsLocalization.map_units' variable (M) {S} @[inherit_doc IsLocalization.surj'] theorem surj : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 := IsLocalization.surj' variable (S) @[inherit_doc IsLocalization.exists_of_eq] theorem eq_iff_exists {x y} : algebraMap R S x = algebraMap R S y ↔ ∃ c : M, ↑c * x = ↑c * y := Iff.intro IsLocalization.exists_of_eq fun ⟨c, h⟩ ↦ by apply_fun algebraMap R S at h rw [map_mul, map_mul] at h exact (IsLocalization.map_units S c).mul_right_inj.mp h variable {S} theorem of_le (N : Submonoid R) (h₁ : M ≤ N) (h₂ : ∀ r ∈ N, IsUnit (algebraMap R S r)) : IsLocalization N S where map_units' r := h₂ r r.2 surj' s := have ⟨⟨x, y, hy⟩, H⟩ := IsLocalization.surj M s ⟨⟨x, y, h₁ hy⟩, H⟩ exists_of_eq {x y} := by rw [IsLocalization.eq_iff_exists M] rintro ⟨c, hc⟩ exact ⟨⟨c, h₁ c.2⟩, hc⟩ #align is_localization.of_le IsLocalization.of_le variable (S) @[simps] def toLocalizationWithZeroMap : Submonoid.LocalizationWithZeroMap M S where __ := algebraMap R S toFun := algebraMap R S map_units' := IsLocalization.map_units _ surj' := IsLocalization.surj _ exists_of_eq _ _ := IsLocalization.exists_of_eq #align is_localization.to_localization_with_zero_map IsLocalization.toLocalizationWithZeroMap abbrev toLocalizationMap : Submonoid.LocalizationMap M S := (toLocalizationWithZeroMap M S).toLocalizationMap #align is_localization.to_localization_map IsLocalization.toLocalizationMap @[simp] theorem toLocalizationMap_toMap : (toLocalizationMap M S).toMap = (algebraMap R S : R →*₀ S) := rfl #align is_localization.to_localization_map_to_map IsLocalization.toLocalizationMap_toMap theorem toLocalizationMap_toMap_apply (x) : (toLocalizationMap M S).toMap x = algebraMap R S x := rfl #align is_localization.to_localization_map_to_map_apply IsLocalization.toLocalizationMap_toMap_apply theorem surj₂ : ∀ z w : S, ∃ z' w' : R, ∃ d : M, (z * algebraMap R S d = algebraMap R S z') ∧ (w * algebraMap R S d = algebraMap R S w') := (toLocalizationMap M S).surj₂ end variable (M) {S} noncomputable def sec (z : S) : R × M := Classical.choose <| IsLocalization.surj _ z #align is_localization.sec IsLocalization.sec @[simp] theorem toLocalizationMap_sec : (toLocalizationMap M S).sec = sec M := rfl #align is_localization.to_localization_map_sec IsLocalization.toLocalizationMap_sec theorem sec_spec (z : S) : z * algebraMap R S (IsLocalization.sec M z).2 = algebraMap R S (IsLocalization.sec M z).1 := Classical.choose_spec <| IsLocalization.surj _ z #align is_localization.sec_spec IsLocalization.sec_spec theorem sec_spec' (z : S) : algebraMap R S (IsLocalization.sec M z).1 = algebraMap R S (IsLocalization.sec M z).2 * z := by rw [mul_comm, sec_spec] #align is_localization.sec_spec' IsLocalization.sec_spec' variable {M} theorem subsingleton (h : 0 ∈ M) : Subsingleton S := (toLocalizationMap M S).subsingleton h theorem map_right_cancel {x y} {c : M} (h : algebraMap R S (c * x) = algebraMap R S (c * y)) : algebraMap R S x = algebraMap R S y := (toLocalizationMap M S).map_right_cancel h #align is_localization.map_right_cancel IsLocalization.map_right_cancel theorem map_left_cancel {x y} {c : M} (h : algebraMap R S (x * c) = algebraMap R S (y * c)) : algebraMap R S x = algebraMap R S y := (toLocalizationMap M S).map_left_cancel h #align is_localization.map_left_cancel IsLocalization.map_left_cancel theorem eq_zero_of_fst_eq_zero {z x} {y : M} (h : z * algebraMap R S y = algebraMap R S x) (hx : x = 0) : z = 0 := by rw [hx, (algebraMap R S).map_zero] at h exact (IsUnit.mul_left_eq_zero (IsLocalization.map_units S y)).1 h #align is_localization.eq_zero_of_fst_eq_zero IsLocalization.eq_zero_of_fst_eq_zero variable (M S)
Mathlib/RingTheory/Localization/Basic.lean
230
237
theorem map_eq_zero_iff (r : R) : algebraMap R S r = 0 ↔ ∃ m : M, ↑m * r = 0 := by
constructor · intro h obtain ⟨m, hm⟩ := (IsLocalization.eq_iff_exists M S).mp ((algebraMap R S).map_zero.trans h.symm) exact ⟨m, by simpa using hm.symm⟩ · rintro ⟨m, hm⟩ rw [← (IsLocalization.map_units S m).mul_right_inj, mul_zero, ← RingHom.map_mul, hm, RingHom.map_zero]
0
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Group.Measure #align_import measure_theory.group.prod from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set hiding prod_eq open Function MeasureTheory open Filter hiding map open scoped Classical ENNReal Pointwise MeasureTheory variable (G : Type*) [MeasurableSpace G] variable [Group G] [MeasurableMul₂ G] variable (μ ν : Measure G) [SigmaFinite ν] [SigmaFinite μ] {s : Set G} @[to_additive "The map `(x, y) ↦ (x, x + y)` as a `MeasurableEquiv`."] protected def MeasurableEquiv.shearMulRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with measurable_toFun := measurable_fst.prod_mk measurable_mul measurable_invFun := measurable_fst.prod_mk <| measurable_fst.inv.mul measurable_snd } #align measurable_equiv.shear_mul_right MeasurableEquiv.shearMulRight #align measurable_equiv.shear_add_right MeasurableEquiv.shearAddRight @[to_additive "The map `(x, y) ↦ (x, y - x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, y + x)`."] protected def MeasurableEquiv.shearDivRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.divRight with measurable_toFun := measurable_fst.prod_mk <| measurable_snd.div measurable_fst measurable_invFun := measurable_fst.prod_mk <| measurable_snd.mul measurable_fst } #align measurable_equiv.shear_div_right MeasurableEquiv.shearDivRight #align measurable_equiv.shear_sub_right MeasurableEquiv.shearSubRight variable {G} namespace MeasureTheory open Measure section LeftInvariant @[to_additive measurePreserving_prod_add " The shear mapping `(x, y) ↦ (x, x + y)` preserves the measure `μ × ν`. "] theorem measurePreserving_prod_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1 * z.2)) (μ.prod ν) (μ.prod ν) := (MeasurePreserving.id μ).skew_product measurable_mul <| Filter.eventually_of_forall <| map_mul_left_eq_self ν #align measure_theory.measure_preserving_prod_mul MeasureTheory.measurePreserving_prod_mul #align measure_theory.measure_preserving_prod_add MeasureTheory.measurePreserving_prod_add @[to_additive measurePreserving_prod_add_swap " The map `(x, y) ↦ (y, y + x)` sends the measure `μ × ν` to `ν × μ`. "] theorem measurePreserving_prod_mul_swap [IsMulLeftInvariant μ] : MeasurePreserving (fun z : G × G => (z.2, z.2 * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_mul_swap MeasureTheory.measurePreserving_prod_mul_swap #align measure_theory.measure_preserving_prod_add_swap MeasureTheory.measurePreserving_prod_add_swap @[to_additive] theorem measurable_measure_mul_right (hs : MeasurableSet s) : Measurable fun x => μ ((fun y => y * x) ⁻¹' s) := by suffices Measurable fun y => μ ((fun x => (x, y)) ⁻¹' ((fun z : G × G => ((1 : G), z.1 * z.2)) ⁻¹' univ ×ˢ s)) by convert this using 1; ext1 x; congr 1 with y : 1; simp apply measurable_measure_prod_mk_right apply measurable_const.prod_mk measurable_mul (MeasurableSet.univ.prod hs) infer_instance #align measure_theory.measurable_measure_mul_right MeasureTheory.measurable_measure_mul_right #align measure_theory.measurable_measure_add_right MeasureTheory.measurable_measure_add_right variable [MeasurableInv G] @[to_additive measurePreserving_prod_neg_add "The map `(x, y) ↦ (x, - x + y)` is measure-preserving."] theorem measurePreserving_prod_inv_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1⁻¹ * z.2)) (μ.prod ν) (μ.prod ν) := (measurePreserving_prod_mul μ ν).symm <| MeasurableEquiv.shearMulRight G #align measure_theory.measure_preserving_prod_inv_mul MeasureTheory.measurePreserving_prod_inv_mul #align measure_theory.measure_preserving_prod_neg_add MeasureTheory.measurePreserving_prod_neg_add variable [IsMulLeftInvariant μ] @[to_additive measurePreserving_prod_neg_add_swap "The map `(x, y) ↦ (y, - y + x)` sends `μ × ν` to `ν × μ`."] theorem measurePreserving_prod_inv_mul_swap : MeasurePreserving (fun z : G × G => (z.2, z.2⁻¹ * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_inv_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_inv_mul_swap MeasureTheory.measurePreserving_prod_inv_mul_swap #align measure_theory.measure_preserving_prod_neg_add_swap MeasureTheory.measurePreserving_prod_neg_add_swap @[to_additive measurePreserving_add_prod_neg "The map `(x, y) ↦ (y + x, - x)` is measure-preserving."] theorem measurePreserving_mul_prod_inv [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by convert (measurePreserving_prod_inv_mul_swap ν μ).comp (measurePreserving_prod_mul_swap μ ν) using 1 ext1 ⟨x, y⟩ simp_rw [Function.comp_apply, mul_inv_rev, inv_mul_cancel_right] #align measure_theory.measure_preserving_mul_prod_inv MeasureTheory.measurePreserving_mul_prod_inv #align measure_theory.measure_preserving_add_prod_neg MeasureTheory.measurePreserving_add_prod_neg @[to_additive]
Mathlib/MeasureTheory/Group/Prod.lean
161
172
theorem quasiMeasurePreserving_inv : QuasiMeasurePreserving (Inv.inv : G → G) μ μ := by
refine ⟨measurable_inv, AbsolutelyContinuous.mk fun s hsm hμs => ?_⟩ rw [map_apply measurable_inv hsm, inv_preimage] have hf : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) := (measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv suffices map (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod μ) (s⁻¹ ×ˢ s⁻¹) = 0 by simpa only [(measurePreserving_mul_prod_inv μ μ).map_eq, prod_prod, mul_eq_zero (M₀ := ℝ≥0∞), or_self_iff] using this have hsm' : MeasurableSet (s⁻¹ ×ˢ s⁻¹) := hsm.inv.prod hsm.inv simp_rw [map_apply hf hsm', prod_apply_symm (μ := μ) (ν := μ) (hf hsm'), preimage_preimage, mk_preimage_prod, inv_preimage, inv_inv, measure_mono_null inter_subset_right hμs, lintegral_zero]
0
import Mathlib.CategoryTheory.Abelian.Basic #align_import category_theory.idempotents.basic from "leanprover-community/mathlib"@"3a061790136d13594ec10c7c90d202335ac5d854" open CategoryTheory open CategoryTheory.Category open CategoryTheory.Limits open CategoryTheory.Preadditive open Opposite namespace CategoryTheory variable (C : Type*) [Category C] class IsIdempotentComplete : Prop where idempotents_split : ∀ (X : C) (p : X ⟶ X), p ≫ p = p → ∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p #align category_theory.is_idempotent_complete CategoryTheory.IsIdempotentComplete namespace Idempotents theorem isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent : IsIdempotentComplete C ↔ ∀ (X : C) (p : X ⟶ X), p ≫ p = p → HasEqualizer (𝟙 X) p := by constructor · intro intro X p hp rcases IsIdempotentComplete.idempotents_split X p hp with ⟨Y, i, e, ⟨h₁, h₂⟩⟩ exact ⟨Nonempty.intro { cone := Fork.ofι i (show i ≫ 𝟙 X = i ≫ p by rw [comp_id, ← h₂, ← assoc, h₁, id_comp]) isLimit := by apply Fork.IsLimit.mk' intro s refine ⟨s.ι ≫ e, ?_⟩ constructor · erw [assoc, h₂, ← Limits.Fork.condition s, comp_id] · intro m hm rw [Fork.ι_ofι] at hm rw [← hm] simp only [← hm, assoc, h₁] exact (comp_id m).symm }⟩ · intro h refine ⟨?_⟩ intro X p hp haveI : HasEqualizer (𝟙 X) p := h X p hp refine ⟨equalizer (𝟙 X) p, equalizer.ι (𝟙 X) p, equalizer.lift p (show p ≫ 𝟙 X = p ≫ p by rw [hp, comp_id]), ?_, equalizer.lift_ι _ _⟩ ext simp only [assoc, limit.lift_π, Eq.ndrec, id_eq, eq_mpr_eq_cast, Fork.ofι_pt, Fork.ofι_π_app, id_comp] rw [← equalizer.condition, comp_id] #align category_theory.idempotents.is_idempotent_complete_iff_has_equalizer_of_id_and_idempotent CategoryTheory.Idempotents.isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent variable {C} theorem idem_of_id_sub_idem [Preadditive C] {X : C} (p : X ⟶ X) (hp : p ≫ p = p) : (𝟙 _ - p) ≫ (𝟙 _ - p) = 𝟙 _ - p := by simp only [comp_sub, sub_comp, id_comp, comp_id, hp, sub_self, sub_zero] #align category_theory.idempotents.idem_of_id_sub_idem CategoryTheory.Idempotents.idem_of_id_sub_idem variable (C) theorem isIdempotentComplete_iff_idempotents_have_kernels [Preadditive C] : IsIdempotentComplete C ↔ ∀ (X : C) (p : X ⟶ X), p ≫ p = p → HasKernel p := by rw [isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent] constructor · intro h X p hp haveI : HasEqualizer (𝟙 X) (𝟙 X - p) := h X (𝟙 _ - p) (idem_of_id_sub_idem p hp) convert hasKernel_of_hasEqualizer (𝟙 X) (𝟙 X - p) rw [sub_sub_cancel] · intro h X p hp haveI : HasKernel (𝟙 _ - p) := h X (𝟙 _ - p) (idem_of_id_sub_idem p hp) apply Preadditive.hasEqualizer_of_hasKernel #align category_theory.idempotents.is_idempotent_complete_iff_idempotents_have_kernels CategoryTheory.Idempotents.isIdempotentComplete_iff_idempotents_have_kernels instance (priority := 100) isIdempotentComplete_of_abelian (D : Type*) [Category D] [Abelian D] : IsIdempotentComplete D := by rw [isIdempotentComplete_iff_idempotents_have_kernels] intros infer_instance #align category_theory.idempotents.is_idempotent_complete_of_abelian CategoryTheory.Idempotents.isIdempotentComplete_of_abelian variable {C}
Mathlib/CategoryTheory/Idempotents/Basic.lean
130
140
theorem split_imp_of_iso {X X' : C} (φ : X ≅ X') (p : X ⟶ X) (p' : X' ⟶ X') (hpp' : p ≫ φ.hom = φ.hom ≫ p') (h : ∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p) : ∃ (Y' : C) (i' : Y' ⟶ X') (e' : X' ⟶ Y'), i' ≫ e' = 𝟙 Y' ∧ e' ≫ i' = p' := by
rcases h with ⟨Y, i, e, ⟨h₁, h₂⟩⟩ use Y, i ≫ φ.hom, φ.inv ≫ e constructor · slice_lhs 2 3 => rw [φ.hom_inv_id] rw [id_comp, h₁] · slice_lhs 2 3 => rw [h₂] rw [hpp', ← assoc, φ.inv_hom_id, id_comp]
0
import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.GeomSum import Mathlib.Data.Fintype.BigOperators import Mathlib.RingTheory.PowerSeries.Inverse import Mathlib.RingTheory.PowerSeries.WellKnown import Mathlib.Tactic.FieldSimp #align_import number_theory.bernoulli from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Nat Finset Finset.Nat PowerSeries variable (A : Type*) [CommRing A] [Algebra ℚ A] def bernoulli' : ℕ → ℚ := WellFounded.fix Nat.lt_wfRel.wf fun n bernoulli' => 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k k.2 #align bernoulli' bernoulli' theorem bernoulli'_def' (n : ℕ) : bernoulli' n = 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k := WellFounded.fix_eq _ _ _ #align bernoulli'_def' bernoulli'_def' theorem bernoulli'_def (n : ℕ) : bernoulli' n = 1 - ∑ k ∈ range n, n.choose k / (n - k + 1) * bernoulli' k := by rw [bernoulli'_def', ← Fin.sum_univ_eq_sum_range] #align bernoulli'_def bernoulli'_def theorem bernoulli'_spec (n : ℕ) : (∑ k ∈ range n.succ, (n.choose (n - k) : ℚ) / (n - k + 1) * bernoulli' k) = 1 := by rw [sum_range_succ_comm, bernoulli'_def n, tsub_self, choose_zero_right, sub_self, zero_add, div_one, cast_one, one_mul, sub_add, ← sum_sub_distrib, ← sub_eq_zero, sub_sub_cancel_left, neg_eq_zero] exact Finset.sum_eq_zero (fun x hx => by rw [choose_symm (le_of_lt (mem_range.1 hx)), sub_self]) #align bernoulli'_spec bernoulli'_spec theorem bernoulli'_spec' (n : ℕ) : (∑ k ∈ antidiagonal n, ((k.1 + k.2).choose k.2 : ℚ) / (k.2 + 1) * bernoulli' k.1) = 1 := by refine ((sum_antidiagonal_eq_sum_range_succ_mk _ n).trans ?_).trans (bernoulli'_spec n) refine sum_congr rfl fun x hx => ?_ simp only [add_tsub_cancel_of_le, mem_range_succ_iff.mp hx, cast_sub] #align bernoulli'_spec' bernoulli'_spec' @[simp] theorem sum_bernoulli' (n : ℕ) : (∑ k ∈ range n, (n.choose k : ℚ) * bernoulli' k) = n := by cases' n with n · simp suffices ((n + 1 : ℚ) * ∑ k ∈ range n, ↑(n.choose k) / (n - k + 1) * bernoulli' k) = ∑ x ∈ range n, ↑(n.succ.choose x) * bernoulli' x by rw_mod_cast [sum_range_succ, bernoulli'_def, ← this, choose_succ_self_right] ring simp_rw [mul_sum, ← mul_assoc] refine sum_congr rfl fun k hk => ?_ congr have : ((n - k : ℕ) : ℚ) + 1 ≠ 0 := by norm_cast field_simp [← cast_sub (mem_range.1 hk).le, mul_comm] rw_mod_cast [tsub_add_eq_add_tsub (mem_range.1 hk).le, choose_mul_succ_eq] #align sum_bernoulli' sum_bernoulli' def bernoulli'PowerSeries := mk fun n => algebraMap ℚ A (bernoulli' n / n !) #align bernoulli'_power_series bernoulli'PowerSeries
Mathlib/NumberTheory/Bernoulli.lean
158
177
theorem bernoulli'PowerSeries_mul_exp_sub_one : bernoulli'PowerSeries A * (exp A - 1) = X * exp A := by
ext n -- constant coefficient is a special case cases' n with n · simp rw [bernoulli'PowerSeries, coeff_mul, mul_comm X, sum_antidiagonal_succ'] suffices (∑ p ∈ antidiagonal n, bernoulli' p.1 / p.1! * ((p.2 + 1) * p.2! : ℚ)⁻¹) = (n ! : ℚ)⁻¹ by simpa [map_sum, Nat.factorial] using congr_arg (algebraMap ℚ A) this apply eq_inv_of_mul_eq_one_left rw [sum_mul] convert bernoulli'_spec' n using 1 apply sum_congr rfl simp_rw [mem_antidiagonal] rintro ⟨i, j⟩ rfl have := factorial_mul_factorial_dvd_factorial_add i j field_simp [mul_comm _ (bernoulli' i), mul_assoc, add_choose] norm_cast simp [mul_comm (j + 1)]
0
import Mathlib.Algebra.Order.Pointwise import Mathlib.Analysis.NormedSpace.SphereNormEquiv import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar open Set Function Metric MeasurableSpace intervalIntegral open scoped Pointwise ENNReal NNReal local notation "dim" => FiniteDimensional.finrank ℝ noncomputable section namespace MeasureTheory variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] namespace Measure def toSphere (μ : Measure E) : Measure (sphere (0 : E) 1) := dim E • ((μ.comap (Subtype.val ∘ (homeomorphUnitSphereProd E).symm)).restrict (univ ×ˢ Iio ⟨1, mem_Ioi.2 one_pos⟩)).fst variable (μ : Measure E) theorem toSphere_apply_aux (s : Set (sphere (0 : E) 1)) (r : Ioi (0 : ℝ)) : μ ((↑) '' (homeomorphUnitSphereProd E ⁻¹' s ×ˢ Iio r)) = μ (Ioo (0 : ℝ) r • ((↑) '' s)) := by rw [← image2_smul, image2_image_right, ← Homeomorph.image_symm, image_image, ← image_subtype_val_Ioi_Iio, image2_image_left, image2_swap, ← image_prod] rfl theorem toSphere_apply' {s : Set (sphere (0 : E) 1)} (hs : MeasurableSet s) : μ.toSphere s = dim E * μ (Ioo (0 : ℝ) 1 • ((↑) '' s)) := by rw [toSphere, smul_apply, fst_apply hs, restrict_apply (measurable_fst hs), ((MeasurableEmbedding.subtype_coe (measurableSet_singleton _).compl).comp (Homeomorph.measurableEmbedding _)).comap_apply, image_comp, Homeomorph.image_symm, univ_prod, ← Set.prod_eq, nsmul_eq_mul, toSphere_apply_aux] theorem toSphere_apply_univ' : μ.toSphere univ = dim E * μ (ball 0 1 \ {0}) := by rw [μ.toSphere_apply' .univ, image_univ, Subtype.range_coe, Ioo_smul_sphere_zero] <;> simp variable [μ.IsAddHaarMeasure] @[simp] theorem toSphere_apply_univ : μ.toSphere univ = dim E * μ (ball 0 1) := by nontriviality E rw [toSphere_apply_univ', measure_diff_null (measure_singleton _)] instance : IsFiniteMeasure μ.toSphere where measure_univ_lt_top := by rw [toSphere_apply_univ'] exact ENNReal.mul_lt_top (ENNReal.natCast_ne_top _) <| ne_top_of_le_ne_top measure_ball_lt_top.ne <| measure_mono diff_subset def volumeIoiPow (n : ℕ) : Measure (Ioi (0 : ℝ)) := .withDensity (.comap Subtype.val volume) fun r ↦ .ofReal (r.1 ^ n) lemma volumeIoiPow_apply_Iio (n : ℕ) (x : Ioi (0 : ℝ)) : volumeIoiPow n (Iio x) = ENNReal.ofReal (x.1 ^ (n + 1) / (n + 1)) := by have hr₀ : 0 ≤ x.1 := le_of_lt x.2 rw [volumeIoiPow, withDensity_apply _ measurableSet_Iio, set_lintegral_subtype measurableSet_Ioi _ fun a : ℝ ↦ .ofReal (a ^ n), image_subtype_val_Ioi_Iio, restrict_congr_set Ioo_ae_eq_Ioc, ← ofReal_integral_eq_lintegral_ofReal (intervalIntegrable_pow _).1, ← integral_of_le hr₀] · simp · filter_upwards [ae_restrict_mem measurableSet_Ioc] with y hy exact pow_nonneg hy.1.le _ def finiteSpanningSetsIn_volumeIoiPow_range_Iio (n : ℕ) : FiniteSpanningSetsIn (volumeIoiPow n) (range Iio) where set k := Iio ⟨k + 1, mem_Ioi.2 k.cast_add_one_pos⟩ set_mem k := mem_range_self _ finite k := by simp [volumeIoiPow_apply_Iio] spanning := iUnion_eq_univ_iff.2 fun x ↦ ⟨⌊x.1⌋₊, Nat.lt_floor_add_one x.1⟩ instance (n : ℕ) : SigmaFinite (volumeIoiPow n) := (finiteSpanningSetsIn_volumeIoiPow_range_Iio n).sigmaFinite
Mathlib/MeasureTheory/Constructions/HaarToSphere.lean
108
125
theorem measurePreserving_homeomorphUnitSphereProd : MeasurePreserving (homeomorphUnitSphereProd E) (μ.comap (↑)) (μ.toSphere.prod (volumeIoiPow (dim E - 1))) := by
nontriviality E refine ⟨(homeomorphUnitSphereProd E).measurable, .symm ?_⟩ refine prod_eq_generateFrom generateFrom_measurableSet ((borel_eq_generateFrom_Iio _).symm.trans BorelSpace.measurable_eq.symm) isPiSystem_measurableSet isPiSystem_Iio μ.toSphere.toFiniteSpanningSetsIn (finiteSpanningSetsIn_volumeIoiPow_range_Iio _) fun s hs ↦ forall_mem_range.2 fun r ↦ ?_ have : Ioo (0 : ℝ) r = r.1 • Ioo (0 : ℝ) 1 := by rw [LinearOrderedField.smul_Ioo r.2.out, smul_zero, smul_eq_mul, mul_one] have hpos : 0 < dim E := FiniteDimensional.finrank_pos rw [(Homeomorph.measurableEmbedding _).map_apply, toSphere_apply' _ hs, volumeIoiPow_apply_Iio, comap_subtype_coe_apply (measurableSet_singleton _).compl, toSphere_apply_aux, this, smul_assoc, μ.addHaar_smul_of_nonneg r.2.out.le, Nat.sub_add_cancel hpos, Nat.cast_pred hpos, sub_add_cancel, mul_right_comm, ← ENNReal.ofReal_natCast, ← ENNReal.ofReal_mul, mul_div_cancel₀] exacts [(Nat.cast_pos.2 hpos).ne', Nat.cast_nonneg _]
0
import Mathlib.Algebra.Order.Field.Power import Mathlib.Data.Int.LeastGreatest import Mathlib.Data.Rat.Floor import Mathlib.Data.NNRat.Defs #align_import algebra.order.archimedean from "leanprover-community/mathlib"@"6f413f3f7330b94c92a5a27488fdc74e6d483a78" open Int Set variable {α : Type*} class Archimedean (α) [OrderedAddCommMonoid α] : Prop where arch : ∀ (x : α) {y : α}, 0 < y → ∃ n : ℕ, x ≤ n • y #align archimedean Archimedean instance OrderDual.archimedean [OrderedAddCommGroup α] [Archimedean α] : Archimedean αᵒᵈ := ⟨fun x y hy => let ⟨n, hn⟩ := Archimedean.arch (-ofDual x) (neg_pos.2 hy) ⟨n, by rwa [neg_nsmul, neg_le_neg_iff] at hn⟩⟩ #align order_dual.archimedean OrderDual.archimedean variable {M : Type*} theorem exists_lt_nsmul [OrderedAddCommMonoid M] [Archimedean M] [CovariantClass M M (· + ·) (· < ·)] {a : M} (ha : 0 < a) (b : M) : ∃ n : ℕ, b < n • a := let ⟨k, hk⟩ := Archimedean.arch b ha ⟨k + 1, hk.trans_lt <| nsmul_lt_nsmul_left ha k.lt_succ_self⟩ section LinearOrderedAddCommGroup variable [LinearOrderedAddCommGroup α] [Archimedean α]
Mathlib/Algebra/Order/Archimedean.lean
64
81
theorem existsUnique_zsmul_near_of_pos {a : α} (ha : 0 < a) (g : α) : ∃! k : ℤ, k • a ≤ g ∧ g < (k + 1) • a := by
let s : Set ℤ := { n : ℤ | n • a ≤ g } obtain ⟨k, hk : -g ≤ k • a⟩ := Archimedean.arch (-g) ha have h_ne : s.Nonempty := ⟨-k, by simpa [s] using neg_le_neg hk⟩ obtain ⟨k, hk⟩ := Archimedean.arch g ha have h_bdd : ∀ n ∈ s, n ≤ (k : ℤ) := by intro n hn apply (zsmul_le_zsmul_iff ha).mp rw [← natCast_zsmul] at hk exact le_trans hn hk obtain ⟨m, hm, hm'⟩ := Int.exists_greatest_of_bdd ⟨k, h_bdd⟩ h_ne have hm'' : g < (m + 1) • a := by contrapose! hm' exact ⟨m + 1, hm', lt_add_one _⟩ refine ⟨m, ⟨hm, hm''⟩, fun n hn => (hm' n hn.1).antisymm <| Int.le_of_lt_add_one ?_⟩ rw [← zsmul_lt_zsmul_iff ha] exact lt_of_le_of_lt hm hn.2
0
import Mathlib.Topology.Algebra.Module.WeakDual import Mathlib.MeasureTheory.Integral.BoundedContinuousFunction import Mathlib.MeasureTheory.Measure.HasOuterApproxClosed #align_import measure_theory.measure.finite_measure from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open MeasureTheory open Set open Filter open BoundedContinuousFunction open scoped Topology ENNReal NNReal BoundedContinuousFunction namespace MeasureTheory namespace FiniteMeasure section FiniteMeasure variable {Ω : Type*} [MeasurableSpace Ω] def _root_.MeasureTheory.FiniteMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ := { μ : Measure Ω // IsFiniteMeasure μ } #align measure_theory.finite_measure MeasureTheory.FiniteMeasure -- Porting note: as with other subtype synonyms (e.g., `ℝ≥0`, we need a new function for the -- coercion instead of relying on `Subtype.val`. @[coe] def toMeasure : FiniteMeasure Ω → Measure Ω := Subtype.val instance instCoe : Coe (FiniteMeasure Ω) (MeasureTheory.Measure Ω) where coe := toMeasure instance isFiniteMeasure (μ : FiniteMeasure Ω) : IsFiniteMeasure (μ : Measure Ω) := μ.prop #align measure_theory.finite_measure.is_finite_measure MeasureTheory.FiniteMeasure.isFiniteMeasure @[simp] theorem val_eq_toMeasure (ν : FiniteMeasure Ω) : ν.val = (ν : Measure Ω) := rfl #align measure_theory.finite_measure.val_eq_to_measure MeasureTheory.FiniteMeasure.val_eq_toMeasure theorem toMeasure_injective : Function.Injective ((↑) : FiniteMeasure Ω → Measure Ω) := Subtype.coe_injective #align measure_theory.finite_measure.coe_injective MeasureTheory.FiniteMeasure.toMeasure_injective instance instFunLike : FunLike (FiniteMeasure Ω) (Set Ω) ℝ≥0 where coe μ s := ((μ : Measure Ω) s).toNNReal coe_injective' μ ν h := toMeasure_injective $ Measure.ext fun s _ ↦ by simpa [ENNReal.toNNReal_eq_toNNReal_iff, measure_ne_top] using congr_fun h s lemma coeFn_def (μ : FiniteMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl #align measure_theory.finite_measure.coe_fn_eq_to_nnreal_coe_fn_to_measure MeasureTheory.FiniteMeasure.coeFn_def lemma coeFn_mk (μ : Measure Ω) (hμ) : DFunLike.coe (F := FiniteMeasure Ω) ⟨μ, hμ⟩ = fun s ↦ (μ s).toNNReal := rfl @[simp, norm_cast] lemma mk_apply (μ : Measure Ω) (hμ) (s : Set Ω) : DFunLike.coe (F := FiniteMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl @[simp] theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : FiniteMeasure Ω) (s : Set Ω) : (ν s : ℝ≥0∞) = (ν : Measure Ω) s := ENNReal.coe_toNNReal (measure_lt_top (↑ν) s).ne #align measure_theory.finite_measure.ennreal_coe_fn_eq_coe_fn_to_measure MeasureTheory.FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure theorem apply_mono (μ : FiniteMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ := by change ((μ : Measure Ω) s₁).toNNReal ≤ ((μ : Measure Ω) s₂).toNNReal have key : (μ : Measure Ω) s₁ ≤ (μ : Measure Ω) s₂ := (μ : Measure Ω).mono h apply (ENNReal.toNNReal_le_toNNReal (measure_ne_top _ s₁) (measure_ne_top _ s₂)).mpr key #align measure_theory.finite_measure.apply_mono MeasureTheory.FiniteMeasure.apply_mono def mass (μ : FiniteMeasure Ω) : ℝ≥0 := μ univ #align measure_theory.finite_measure.mass MeasureTheory.FiniteMeasure.mass @[simp] theorem apply_le_mass (μ : FiniteMeasure Ω) (s : Set Ω) : μ s ≤ μ.mass := by simpa using apply_mono μ (subset_univ s) @[simp] theorem ennreal_mass {μ : FiniteMeasure Ω} : (μ.mass : ℝ≥0∞) = (μ : Measure Ω) univ := ennreal_coeFn_eq_coeFn_toMeasure μ Set.univ #align measure_theory.finite_measure.ennreal_mass MeasureTheory.FiniteMeasure.ennreal_mass instance instZero : Zero (FiniteMeasure Ω) where zero := ⟨0, MeasureTheory.isFiniteMeasureZero⟩ #align measure_theory.finite_measure.has_zero MeasureTheory.FiniteMeasure.instZero @[simp, norm_cast] lemma coeFn_zero : ⇑(0 : FiniteMeasure Ω) = 0 := rfl #align measure_theory.finite_measure.coe_fn_zero MeasureTheory.FiniteMeasure.coeFn_zero @[simp] theorem zero_mass : (0 : FiniteMeasure Ω).mass = 0 := rfl #align measure_theory.finite_measure.zero.mass MeasureTheory.FiniteMeasure.zero_mass @[simp]
Mathlib/MeasureTheory/Measure/FiniteMeasure.lean
200
204
theorem mass_zero_iff (μ : FiniteMeasure Ω) : μ.mass = 0 ↔ μ = 0 := by
refine ⟨fun μ_mass => ?_, fun hμ => by simp only [hμ, zero_mass]⟩ apply toMeasure_injective apply Measure.measure_univ_eq_zero.mp rwa [← ennreal_mass, ENNReal.coe_eq_zero]
0
import Mathlib.NumberTheory.LegendreSymbol.Basic import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.GaussSum #align_import number_theory.legendre_symbol.quadratic_reciprocity from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Values variable {p : ℕ} [Fact p.Prime] open ZMod section Reciprocity variable {p q : ℕ} [Fact p.Prime] [Fact q.Prime] namespace legendreSym open ZMod theorem quadratic_reciprocity (hp : p ≠ 2) (hq : q ≠ 2) (hpq : p ≠ q) : legendreSym q p * legendreSym p q = (-1) ^ (p / 2 * (q / 2)) := by have hp₁ := (Prime.eq_two_or_odd <| @Fact.out p.Prime _).resolve_left hp have hq₁ := (Prime.eq_two_or_odd <| @Fact.out q.Prime _).resolve_left hq have hq₂ : ringChar (ZMod q) ≠ 2 := (ringChar_zmod_n q).substr hq have h := quadraticChar_odd_prime ((ringChar_zmod_n p).substr hp) hq ((ringChar_zmod_n p).substr hpq) rw [card p] at h have nc : ∀ n r : ℕ, ((n : ℤ) : ZMod r) = n := fun n r => by norm_cast have nc' : (((-1) ^ (p / 2) : ℤ) : ZMod q) = (-1) ^ (p / 2) := by norm_cast rw [legendreSym, legendreSym, nc, nc, h, map_mul, mul_rotate', mul_comm (p / 2), ← pow_two, quadraticChar_sq_one (prime_ne_zero q p hpq.symm), mul_one, pow_mul, χ₄_eq_neg_one_pow hp₁, nc', map_pow, quadraticChar_neg_one hq₂, card q, χ₄_eq_neg_one_pow hq₁] #align legendre_sym.quadratic_reciprocity legendreSym.quadratic_reciprocity
Mathlib/NumberTheory/LegendreSymbol/QuadraticReciprocity.lean
138
145
theorem quadratic_reciprocity' (hp : p ≠ 2) (hq : q ≠ 2) : legendreSym q p = (-1) ^ (p / 2 * (q / 2)) * legendreSym p q := by
rcases eq_or_ne p q with h | h · subst p rw [(eq_zero_iff q q).mpr (mod_cast natCast_self q), mul_zero] · have qr := congr_arg (· * legendreSym p q) (quadratic_reciprocity hp hq h) have : ((q : ℤ) : ZMod p) ≠ 0 := mod_cast prime_ne_zero p q h simpa only [mul_assoc, ← pow_two, sq_one p this, mul_one] using qr
0
import Mathlib.MeasureTheory.Measure.Typeclasses import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated open Function Set open scoped ENNReal Classical noncomputable section variable {α β δ : Type*} [MeasurableSpace α] [MeasurableSpace β] {s : Set α} {a : α} namespace MeasureTheory namespace Measure def dirac (a : α) : Measure α := (OuterMeasure.dirac a).toMeasure (by simp) #align measure_theory.measure.dirac MeasureTheory.Measure.dirac instance : MeasureSpace PUnit := ⟨dirac PUnit.unit⟩ theorem le_dirac_apply {a} : s.indicator 1 a ≤ dirac a s := OuterMeasure.dirac_apply a s ▸ le_toMeasure_apply _ _ _ #align measure_theory.measure.le_dirac_apply MeasureTheory.Measure.le_dirac_apply @[simp] theorem dirac_apply' (a : α) (hs : MeasurableSet s) : dirac a s = s.indicator 1 a := toMeasure_apply _ _ hs #align measure_theory.measure.dirac_apply' MeasureTheory.Measure.dirac_apply' @[simp] theorem dirac_apply_of_mem {a : α} (h : a ∈ s) : dirac a s = 1 := by have : ∀ t : Set α, a ∈ t → t.indicator (1 : α → ℝ≥0∞) a = 1 := fun t ht => indicator_of_mem ht 1 refine le_antisymm (this univ trivial ▸ ?_) (this s h ▸ le_dirac_apply) rw [← dirac_apply' a MeasurableSet.univ] exact measure_mono (subset_univ s) #align measure_theory.measure.dirac_apply_of_mem MeasureTheory.Measure.dirac_apply_of_mem @[simp]
Mathlib/MeasureTheory/Measure/Dirac.lean
53
59
theorem dirac_apply [MeasurableSingletonClass α] (a : α) (s : Set α) : dirac a s = s.indicator 1 a := by
by_cases h : a ∈ s; · rw [dirac_apply_of_mem h, indicator_of_mem h, Pi.one_apply] rw [indicator_of_not_mem h, ← nonpos_iff_eq_zero] calc dirac a s ≤ dirac a {a}ᶜ := measure_mono (subset_compl_comm.1 <| singleton_subset_iff.2 h) _ = 0 := by simp [dirac_apply' _ (measurableSet_singleton _).compl]
0
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator import Mathlib.MeasureTheory.Function.UniformIntegrable import Mathlib.MeasureTheory.Decomposition.RadonNikodym #align_import measure_theory.function.conditional_expectation.real from "leanprover-community/mathlib"@"b2ff9a3d7a15fd5b0f060b135421d6a89a999c2f" noncomputable section open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap open scoped NNReal ENNReal Topology MeasureTheory namespace MeasureTheory variable {α : Type*} {m m0 : MeasurableSpace α} {μ : Measure α}
Mathlib/MeasureTheory/Function/ConditionalExpectation/Real.lean
40
54
theorem rnDeriv_ae_eq_condexp {hm : m ≤ m0} [hμm : SigmaFinite (μ.trim hm)] {f : α → ℝ} (hf : Integrable f μ) : SignedMeasure.rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm) =ᵐ[μ] μ[f|m] := by
refine ae_eq_condexp_of_forall_setIntegral_eq hm hf ?_ ?_ ?_ · exact fun _ _ _ => (integrable_of_integrable_trim hm (SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm))).integrableOn · intro s hs _ conv_rhs => rw [← hf.withDensityᵥ_trim_eq_integral hm hs, ← SignedMeasure.withDensityᵥ_rnDeriv_eq ((μ.withDensityᵥ f).trim hm) (μ.trim hm) (hf.withDensityᵥ_trim_absolutelyContinuous hm)] rw [withDensityᵥ_apply (SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm)) hs, ← setIntegral_trim hm _ hs] exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable · exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable.aeStronglyMeasurable'
0
import Mathlib.Algebra.Lie.Submodule #align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d" universe u v w w₁ w₂ namespace LieSubmodule variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂] variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂) section LieIdealOperations instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) := ⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩ #align lie_submodule.has_bracket LieSubmodule.hasBracket theorem lieIdeal_oper_eq_span : ⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := rfl #align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span theorem lieIdeal_oper_eq_linear_span : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by apply le_antisymm · let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m } have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by intro y m' hm' refine Submodule.span_induction (R := R) (M := M) (s := s) (p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_ · rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie] refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span · use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n · use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩ · simp only [lie_zero, Submodule.zero_mem] · intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂ · intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm'' change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M) rw [lieIdeal_oper_eq_span, lieSpan_le] exact Submodule.subset_span · rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan #align lie_submodule.lie_ideal_oper_eq_linear_span LieSubmodule.lieIdeal_oper_eq_linear_span theorem lieIdeal_oper_eq_linear_span' : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ x ∈ I, ∃ n ∈ N, ⁅x, n⁆ = m } := by rw [lieIdeal_oper_eq_linear_span] congr ext m constructor · rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ exact ⟨x, hx, n, hn, rfl⟩ · rintro ⟨x, hx, n, hn, rfl⟩ exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ #align lie_submodule.lie_ideal_oper_eq_linear_span' LieSubmodule.lieIdeal_oper_eq_linear_span' theorem lie_le_iff : ⁅I, N⁆ ≤ N' ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅x, m⁆ ∈ N' := by rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le] refine ⟨fun h x hx m hm => h ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩ rintro h _ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩ exact h x hx m hm #align lie_submodule.lie_le_iff LieSubmodule.lie_le_iff theorem lie_coe_mem_lie (x : I) (m : N) : ⁅(x : L), (m : M)⁆ ∈ ⁅I, N⁆ := by rw [lieIdeal_oper_eq_span]; apply subset_lieSpan; use x, m #align lie_submodule.lie_coe_mem_lie LieSubmodule.lie_coe_mem_lie theorem lie_mem_lie {x : L} {m : M} (hx : x ∈ I) (hm : m ∈ N) : ⁅x, m⁆ ∈ ⁅I, N⁆ := N.lie_coe_mem_lie I ⟨x, hx⟩ ⟨m, hm⟩ #align lie_submodule.lie_mem_lie LieSubmodule.lie_mem_lie
Mathlib/Algebra/Lie/IdealOperations.lean
111
116
theorem lie_comm : ⁅I, J⁆ = ⁅J, I⁆ := by
suffices ∀ I J : LieIdeal R L, ⁅I, J⁆ ≤ ⁅J, I⁆ by exact le_antisymm (this I J) (this J I) clear! I J; intro I J rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro x ⟨y, z, h⟩; rw [← h] rw [← lie_skew, ← lie_neg, ← LieSubmodule.coe_neg] apply lie_coe_mem_lie
0
import Mathlib.Algebra.ContinuedFractions.Computation.ApproximationCorollaries import Mathlib.Algebra.ContinuedFractions.Computation.Translations import Mathlib.Data.Real.Irrational import Mathlib.RingTheory.Coprime.Lemmas import Mathlib.Tactic.Basic #align_import number_theory.diophantine_approximation from "leanprover-community/mathlib"@"e25a317463bd37d88e33da164465d8c47922b1cd" namespace Real section Dirichlet open Finset Int theorem exists_int_int_abs_mul_sub_le (ξ : ℝ) {n : ℕ} (n_pos : 0 < n) : ∃ j k : ℤ, 0 < k ∧ k ≤ n ∧ |↑k * ξ - j| ≤ 1 / (n + 1) := by let f : ℤ → ℤ := fun m => ⌊fract (ξ * m) * (n + 1)⌋ have hn : 0 < (n : ℝ) + 1 := mod_cast Nat.succ_pos _ have hfu := fun m : ℤ => mul_lt_of_lt_one_left hn <| fract_lt_one (ξ * ↑m) conv in |_| ≤ _ => rw [mul_comm, le_div_iff hn, ← abs_of_pos hn, ← abs_mul] let D := Icc (0 : ℤ) n by_cases H : ∃ m ∈ D, f m = n · obtain ⟨m, hm, hf⟩ := H have hf' : ((n : ℤ) : ℝ) ≤ fract (ξ * m) * (n + 1) := hf ▸ floor_le (fract (ξ * m) * (n + 1)) have hm₀ : 0 < m := by have hf₀ : f 0 = 0 := by -- Porting note: was -- simp only [floor_eq_zero_iff, algebraMap.coe_zero, mul_zero, fract_zero, -- zero_mul, Set.left_mem_Ico, zero_lt_one] simp only [f, cast_zero, mul_zero, fract_zero, zero_mul, floor_zero] refine Ne.lt_of_le (fun h => n_pos.ne ?_) (mem_Icc.mp hm).1 exact mod_cast hf₀.symm.trans (h.symm ▸ hf : f 0 = n) refine ⟨⌊ξ * m⌋ + 1, m, hm₀, (mem_Icc.mp hm).2, ?_⟩ rw [cast_add, ← sub_sub, sub_mul, cast_one, one_mul, abs_le] refine ⟨le_sub_iff_add_le.mpr ?_, sub_le_iff_le_add.mpr <| le_of_lt <| (hfu m).trans <| lt_one_add _⟩ simpa only [neg_add_cancel_comm_assoc] using hf' · -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5127): added `not_and` simp_rw [not_exists, not_and] at H have hD : (Ico (0 : ℤ) n).card < D.card := by rw [card_Icc, card_Ico]; exact lt_add_one n have hfu' : ∀ m, f m ≤ n := fun m => lt_add_one_iff.mp (floor_lt.mpr (mod_cast hfu m)) have hwd : ∀ m : ℤ, m ∈ D → f m ∈ Ico (0 : ℤ) n := fun x hx => mem_Ico.mpr ⟨floor_nonneg.mpr (mul_nonneg (fract_nonneg (ξ * x)) hn.le), Ne.lt_of_le (H x hx) (hfu' x)⟩ obtain ⟨x, hx, y, hy, x_lt_y, hxy⟩ : ∃ x ∈ D, ∃ y ∈ D, x < y ∧ f x = f y := by obtain ⟨x, hx, y, hy, x_ne_y, hxy⟩ := exists_ne_map_eq_of_card_lt_of_maps_to hD hwd rcases lt_trichotomy x y with (h | h | h) exacts [⟨x, hx, y, hy, h, hxy⟩, False.elim (x_ne_y h), ⟨y, hy, x, hx, h, hxy.symm⟩] refine ⟨⌊ξ * y⌋ - ⌊ξ * x⌋, y - x, sub_pos_of_lt x_lt_y, sub_le_iff_le_add.mpr <| le_add_of_le_of_nonneg (mem_Icc.mp hy).2 (mem_Icc.mp hx).1, ?_⟩ convert_to |fract (ξ * y) * (n + 1) - fract (ξ * x) * (n + 1)| ≤ 1 · congr; push_cast; simp only [fract]; ring exact (abs_sub_lt_one_of_floor_eq_floor hxy.symm).le #align real.exists_int_int_abs_mul_sub_le Real.exists_int_int_abs_mul_sub_le theorem exists_nat_abs_mul_sub_round_le (ξ : ℝ) {n : ℕ} (n_pos : 0 < n) : ∃ k : ℕ, 0 < k ∧ k ≤ n ∧ |↑k * ξ - round (↑k * ξ)| ≤ 1 / (n + 1) := by obtain ⟨j, k, hk₀, hk₁, h⟩ := exists_int_int_abs_mul_sub_le ξ n_pos have hk := toNat_of_nonneg hk₀.le rw [← hk] at hk₀ hk₁ h exact ⟨k.toNat, natCast_pos.mp hk₀, Nat.cast_le.mp hk₁, (round_le (↑k.toNat * ξ) j).trans h⟩ #align real.exists_nat_abs_mul_sub_round_le Real.exists_nat_abs_mul_sub_round_le
Mathlib/NumberTheory/DiophantineApproximation.lean
152
163
theorem exists_rat_abs_sub_le_and_den_le (ξ : ℝ) {n : ℕ} (n_pos : 0 < n) : ∃ q : ℚ, |ξ - q| ≤ 1 / ((n + 1) * q.den) ∧ q.den ≤ n := by
obtain ⟨j, k, hk₀, hk₁, h⟩ := exists_int_int_abs_mul_sub_le ξ n_pos have hk₀' : (0 : ℝ) < k := Int.cast_pos.mpr hk₀ have hden : ((j / k : ℚ).den : ℤ) ≤ k := by convert le_of_dvd hk₀ (Rat.den_dvd j k) exact Rat.intCast_div_eq_divInt _ _ refine ⟨j / k, ?_, Nat.cast_le.mp (hden.trans hk₁)⟩ rw [← div_div, le_div_iff (Nat.cast_pos.mpr <| Rat.pos _ : (0 : ℝ) < _)] refine (mul_le_mul_of_nonneg_left (Int.cast_le.mpr hden : _ ≤ (k : ℝ)) (abs_nonneg _)).trans ?_ rwa [← abs_of_pos hk₀', Rat.cast_div, Rat.cast_intCast, Rat.cast_intCast, ← abs_mul, sub_mul, div_mul_cancel₀ _ hk₀'.ne', mul_comm]
0
import Mathlib.Combinatorics.SimpleGraph.Regularity.Chunk import Mathlib.Combinatorics.SimpleGraph.Regularity.Energy #align_import combinatorics.simple_graph.regularity.increment from "leanprover-community/mathlib"@"bf7ef0e83e5b7e6c1169e97f055e58a2e4e9d52d" open Finset Fintype SimpleGraph SzemerediRegularity open scoped SzemerediRegularity.Positivity variable {α : Type*} [Fintype α] [DecidableEq α] {P : Finpartition (univ : Finset α)} (hP : P.IsEquipartition) (G : SimpleGraph α) [DecidableRel G.Adj] (ε : ℝ) local notation3 "m" => (card α / stepBound P.parts.card : ℕ) namespace SzemerediRegularity noncomputable def increment : Finpartition (univ : Finset α) := P.bind fun _ => chunk hP G ε #align szemeredi_regularity.increment SzemerediRegularity.increment open Finpartition Finpartition.IsEquipartition variable {hP G ε} theorem card_increment (hPα : P.parts.card * 16 ^ P.parts.card ≤ card α) (hPG : ¬P.IsUniform G ε) : (increment hP G ε).parts.card = stepBound P.parts.card := by have hPα' : stepBound P.parts.card ≤ card α := (mul_le_mul_left' (pow_le_pow_left' (by norm_num) _) _).trans hPα have hPpos : 0 < stepBound P.parts.card := stepBound_pos (nonempty_of_not_uniform hPG).card_pos rw [increment, card_bind] simp_rw [chunk, apply_dite Finpartition.parts, apply_dite card, sum_dite] rw [sum_const_nat, sum_const_nat, card_attach, card_attach]; rotate_left any_goals exact fun x hx => card_parts_equitabilise _ _ (Nat.div_pos hPα' hPpos).ne' rw [Nat.sub_add_cancel a_add_one_le_four_pow_parts_card, Nat.sub_add_cancel ((Nat.le_succ _).trans a_add_one_le_four_pow_parts_card), ← add_mul] congr rw [filter_card_add_filter_neg_card_eq_card, card_attach] #align szemeredi_regularity.card_increment SzemerediRegularity.card_increment variable (hP G ε)
Mathlib/Combinatorics/SimpleGraph/Regularity/Increment.lean
82
87
theorem increment_isEquipartition : (increment hP G ε).IsEquipartition := by
simp_rw [IsEquipartition, Set.equitableOn_iff_exists_eq_eq_add_one] refine ⟨m, fun A hA => ?_⟩ rw [mem_coe, increment, mem_bind] at hA obtain ⟨U, hU, hA⟩ := hA exact card_eq_of_mem_parts_chunk hA
0
import Mathlib.Order.Filter.Basic #align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" open Set open Filter namespace Filter variable {α β γ δ : Type*} {ι : Sort*} section Prod variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β} protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) := f.comap Prod.fst ⊓ g.comap Prod.snd #align filter.prod Filter.prod instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where sprod := Filter.prod theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g := inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht) #align filter.prod_mem_prod Filter.prod_mem_prod
Mathlib/Order/Filter/Prod.lean
64
71
theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} : s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by
simp only [SProd.sprod, Filter.prod] constructor · rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩ exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩ · rintro ⟨t₁, ht₁, t₂, ht₂, h⟩ exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h
0
import Mathlib.Algebra.MonoidAlgebra.Division import Mathlib.Algebra.MvPolynomial.Basic #align_import data.mv_polynomial.division from "leanprover-community/mathlib"@"72c366d0475675f1309d3027d3d7d47ee4423951" variable {σ R : Type*} [CommSemiring R] namespace MvPolynomial theorem monomial_dvd_monomial {r s : R} {i j : σ →₀ ℕ} : monomial i r ∣ monomial j s ↔ (s = 0 ∨ i ≤ j) ∧ r ∣ s := by constructor · rintro ⟨x, hx⟩ rw [MvPolynomial.ext_iff] at hx have hj := hx j have hi := hx i classical simp_rw [coeff_monomial, if_pos] at hj hi simp_rw [coeff_monomial_mul'] at hi hj split_ifs at hi hj with hi hi · exact ⟨Or.inr hi, _, hj⟩ · exact ⟨Or.inl hj, hj.symm ▸ dvd_zero _⟩ -- Porting note: two goals remain at this point in Lean 4 · simp_all only [or_true, dvd_mul_right, and_self] · simp_all only [ite_self, le_refl, ite_true, dvd_mul_right, or_false, and_self] · rintro ⟨h | hij, d, rfl⟩ · simp_rw [h, monomial_zero, dvd_zero] · refine ⟨monomial (j - i) d, ?_⟩ rw [monomial_mul, add_tsub_cancel_of_le hij] #align mv_polynomial.monomial_dvd_monomial MvPolynomial.monomial_dvd_monomial @[simp] theorem monomial_one_dvd_monomial_one [Nontrivial R] {i j : σ →₀ ℕ} : monomial i (1 : R) ∣ monomial j 1 ↔ i ≤ j := by rw [monomial_dvd_monomial] simp_rw [one_ne_zero, false_or_iff, dvd_rfl, and_true_iff] #align mv_polynomial.monomial_one_dvd_monomial_one MvPolynomial.monomial_one_dvd_monomial_one @[simp]
Mathlib/Algebra/MvPolynomial/Division.lean
251
255
theorem X_dvd_X [Nontrivial R] {i j : σ} : (X i : MvPolynomial σ R) ∣ (X j : MvPolynomial σ R) ↔ i = j := by
refine monomial_one_dvd_monomial_one.trans ?_ simp_rw [Finsupp.single_le_iff, Nat.one_le_iff_ne_zero, Finsupp.single_apply_ne_zero, ne_eq, not_false_eq_true, and_true]
0
import Mathlib.Data.List.Basic #align_import data.bool.all_any from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" variable {α : Type*} {p : α → Prop} [DecidablePred p] {l : List α} {a : α} namespace List -- Porting note: in Batteries #align list.all_nil List.all_nil #align list.all_cons List.all_consₓ theorem all_iff_forall {p : α → Bool} : all l p ↔ ∀ a ∈ l, p a := by induction' l with a l ih · exact iff_of_true rfl (forall_mem_nil _) simp only [all_cons, Bool.and_eq_true_iff, ih, forall_mem_cons] #align list.all_iff_forall List.all_iff_forall theorem all_iff_forall_prop : (all l fun a => p a) ↔ ∀ a ∈ l, p a := by simp only [all_iff_forall, decide_eq_true_iff] #align list.all_iff_forall_prop List.all_iff_forall_prop -- Porting note: in Batteries #align list.any_nil List.any_nil #align list.any_cons List.any_consₓ
Mathlib/Data/Bool/AllAny.lean
42
45
theorem any_iff_exists {p : α → Bool} : any l p ↔ ∃ a ∈ l, p a := by
induction' l with a l ih · exact iff_of_false Bool.false_ne_true (not_exists_mem_nil _) simp only [any_cons, Bool.or_eq_true_iff, ih, exists_mem_cons_iff]
0
import Mathlib.Order.Filter.Basic #align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" open Set open Filter namespace Filter variable {α β γ δ : Type*} {ι : Sort*} section Prod variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β} protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) := f.comap Prod.fst ⊓ g.comap Prod.snd #align filter.prod Filter.prod instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where sprod := Filter.prod theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g := inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht) #align filter.prod_mem_prod Filter.prod_mem_prod theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} : s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by simp only [SProd.sprod, Filter.prod] constructor · rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩ exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩ · rintro ⟨t₁, ht₁, t₂, ht₂, h⟩ exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h #align filter.mem_prod_iff Filter.mem_prod_iff @[simp] theorem prod_mem_prod_iff [f.NeBot] [g.NeBot] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g := ⟨fun h => let ⟨_s', hs', _t', ht', H⟩ := mem_prod_iff.1 h (prod_subset_prod_iff.1 H).elim (fun ⟨hs's, ht't⟩ => ⟨mem_of_superset hs' hs's, mem_of_superset ht' ht't⟩) fun h => h.elim (fun hs'e => absurd hs'e (nonempty_of_mem hs').ne_empty) fun ht'e => absurd ht'e (nonempty_of_mem ht').ne_empty, fun h => prod_mem_prod h.1 h.2⟩ #align filter.prod_mem_prod_iff Filter.prod_mem_prod_iff
Mathlib/Order/Filter/Prod.lean
85
92
theorem mem_prod_principal {s : Set (α × β)} : s ∈ f ×ˢ 𝓟 t ↔ { a | ∀ b ∈ t, (a, b) ∈ s } ∈ f := by
rw [← @exists_mem_subset_iff _ f, mem_prod_iff] refine exists_congr fun u => Iff.rfl.and ⟨?_, fun h => ⟨t, mem_principal_self t, ?_⟩⟩ · rintro ⟨v, v_in, hv⟩ a a_in b b_in exact hv (mk_mem_prod a_in <| v_in b_in) · rintro ⟨x, y⟩ ⟨hx, hy⟩ exact h hx y hy
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import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn import Mathlib.Analysis.NormedSpace.FiniteDimension open Set open scoped NNReal namespace ApproximatesLinearOn
Mathlib/Analysis/Calculus/InverseFunctionTheorem/FiniteDimensional.lean
27
47
theorem exists_homeomorph_extension {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] [FiniteDimensional ℝ F] {s : Set E} {f : E → F} {f' : E ≃L[ℝ] F} {c : ℝ≥0} (hf : ApproximatesLinearOn f (f' : E →L[ℝ] F) s c) (hc : Subsingleton E ∨ lipschitzExtensionConstant F * c < ‖(f'.symm : F →L[ℝ] E)‖₊⁻¹) : ∃ g : E ≃ₜ F, EqOn f g s := by
-- the difference `f - f'` is Lipschitz on `s`. It can be extended to a Lipschitz function `u` -- on the whole space, with a slightly worse Lipschitz constant. Then `f' + u` will be the -- desired homeomorphism. obtain ⟨u, hu, uf⟩ : ∃ u : E → F, LipschitzWith (lipschitzExtensionConstant F * c) u ∧ EqOn (f - ⇑f') u s := hf.lipschitzOnWith.extend_finite_dimension let g : E → F := fun x => f' x + u x have fg : EqOn f g s := fun x hx => by simp_rw [g, ← uf hx, Pi.sub_apply, add_sub_cancel] have hg : ApproximatesLinearOn g (f' : E →L[ℝ] F) univ (lipschitzExtensionConstant F * c) := by apply LipschitzOnWith.approximatesLinearOn rw [lipschitzOn_univ] convert hu ext x simp only [g, add_sub_cancel_left, ContinuousLinearEquiv.coe_coe, Pi.sub_apply] haveI : FiniteDimensional ℝ E := f'.symm.finiteDimensional exact ⟨hg.toHomeomorph g hc, fg⟩
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import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.RingTheory.Finiteness open scoped TensorProduct open Submodule variable {R M N : Type*} variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N] variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N} namespace TensorProduct theorem exists_multiset (x : M ⊗[R] N) : ∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨{(x, y)}, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩ theorem exists_finsupp_left (x : M ⊗[R] N) : ∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨Finsupp.single x y, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy use Sx + Sy rw [hx, hy] exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm theorem exists_finsupp_right (x : M ⊗[R] N) : ∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x) refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩ simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean
88
93
theorem exists_finset (x : M ⊗[R] N) : ∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by
obtain ⟨S, h⟩ := exists_finsupp_left x use S.graph rw [h, Finsupp.sum] apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
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import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Data.Finset.Pointwise import Mathlib.Data.Finsupp.Indicator import Mathlib.Data.Fintype.BigOperators #align_import data.finset.finsupp from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" noncomputable section open Finsupp open scoped Classical open Pointwise variable {ι α : Type*} [Zero α] {s : Finset ι} {f : ι →₀ α} namespace Finset protected def finsupp (s : Finset ι) (t : ι → Finset α) : Finset (ι →₀ α) := (s.pi t).map ⟨indicator s, indicator_injective s⟩ #align finset.finsupp Finset.finsupp
Mathlib/Data/Finset/Finsupp.lean
48
57
theorem mem_finsupp_iff {t : ι → Finset α} : f ∈ s.finsupp t ↔ f.support ⊆ s ∧ ∀ i ∈ s, f i ∈ t i := by
refine mem_map.trans ⟨?_, ?_⟩ · rintro ⟨f, hf, rfl⟩ refine ⟨support_indicator_subset _ _, fun i hi => ?_⟩ convert mem_pi.1 hf i hi exact indicator_of_mem hi _ · refine fun h => ⟨fun i _ => f i, mem_pi.2 h.2, ?_⟩ ext i exact ite_eq_left_iff.2 fun hi => (not_mem_support_iff.1 fun H => hi <| h.1 H).symm
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import Mathlib.Topology.EMetricSpace.Basic import Mathlib.Topology.Bornology.Constructions import Mathlib.Data.Set.Pointwise.Interval import Mathlib.Topology.Order.DenselyOrdered open Set Filter TopologicalSpace Bornology open scoped ENNReal NNReal Uniformity Topology universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} theorem UniformSpace.ofDist_aux (ε : ℝ) (hε : 0 < ε) : ∃ δ > (0 : ℝ), ∀ x < δ, ∀ y < δ, x + y < ε := ⟨ε / 2, half_pos hε, fun _x hx _y hy => add_halves ε ▸ add_lt_add hx hy⟩ def UniformSpace.ofDist (dist : α → α → ℝ) (dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x) (dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) : UniformSpace α := .ofFun dist dist_self dist_comm dist_triangle ofDist_aux #align uniform_space_of_dist UniformSpace.ofDist -- Porting note: dropped the `dist_self` argument abbrev Bornology.ofDist {α : Type*} (dist : α → α → ℝ) (dist_comm : ∀ x y, dist x y = dist y x) (dist_triangle : ∀ x y z, dist x z ≤ dist x y + dist y z) : Bornology α := Bornology.ofBounded { s : Set α | ∃ C, ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → dist x y ≤ C } ⟨0, fun x hx y => hx.elim⟩ (fun s ⟨c, hc⟩ t h => ⟨c, fun x hx y hy => hc (h hx) (h hy)⟩) (fun s hs t ht => by rcases s.eq_empty_or_nonempty with rfl | ⟨x, hx⟩ · rwa [empty_union] rcases t.eq_empty_or_nonempty with rfl | ⟨y, hy⟩ · rwa [union_empty] rsuffices ⟨C, hC⟩ : ∃ C, ∀ z ∈ s ∪ t, dist x z ≤ C · refine ⟨C + C, fun a ha b hb => (dist_triangle a x b).trans ?_⟩ simpa only [dist_comm] using add_le_add (hC _ ha) (hC _ hb) rcases hs with ⟨Cs, hs⟩; rcases ht with ⟨Ct, ht⟩ refine ⟨max Cs (dist x y + Ct), fun z hz => hz.elim (fun hz => (hs hx hz).trans (le_max_left _ _)) (fun hz => (dist_triangle x y z).trans <| (add_le_add le_rfl (ht hy hz)).trans (le_max_right _ _))⟩) fun z => ⟨dist z z, forall_eq.2 <| forall_eq.2 le_rfl⟩ #align bornology.of_dist Bornology.ofDistₓ @[ext] class Dist (α : Type*) where dist : α → α → ℝ #align has_dist Dist export Dist (dist) -- the uniform structure and the emetric space structure are embedded in the metric space structure -- to avoid instance diamond issues. See Note [forgetful inheritance]. private theorem dist_nonneg' {α} {x y : α} (dist : α → α → ℝ) (dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x) (dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) : 0 ≤ dist x y := have : 0 ≤ 2 * dist x y := calc 0 = dist x x := (dist_self _).symm _ ≤ dist x y + dist y x := dist_triangle _ _ _ _ = 2 * dist x y := by rw [two_mul, dist_comm] nonneg_of_mul_nonneg_right this two_pos #noalign pseudo_metric_space.edist_dist_tac -- Porting note (#11215): TODO: restore class PseudoMetricSpace (α : Type u) extends Dist α : Type u where dist_self : ∀ x : α, dist x x = 0 dist_comm : ∀ x y : α, dist x y = dist y x dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z edist : α → α → ℝ≥0∞ := fun x y => ENNReal.ofNNReal ⟨dist x y, dist_nonneg' _ ‹_› ‹_› ‹_›⟩ edist_dist : ∀ x y : α, edist x y = ENNReal.ofReal (dist x y) -- Porting note (#11215): TODO: add := by _ toUniformSpace : UniformSpace α := .ofDist dist dist_self dist_comm dist_triangle uniformity_dist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | dist p.1 p.2 < ε } := by intros; rfl toBornology : Bornology α := Bornology.ofDist dist dist_comm dist_triangle cobounded_sets : (Bornology.cobounded α).sets = { s | ∃ C : ℝ, ∀ x ∈ sᶜ, ∀ y ∈ sᶜ, dist x y ≤ C } := by intros; rfl #align pseudo_metric_space PseudoMetricSpace @[ext]
Mathlib/Topology/MetricSpace/PseudoMetric.lean
130
140
theorem PseudoMetricSpace.ext {α : Type*} {m m' : PseudoMetricSpace α} (h : m.toDist = m'.toDist) : m = m' := by
cases' m with d _ _ _ ed hed U hU B hB cases' m' with d' _ _ _ ed' hed' U' hU' B' hB' obtain rfl : d = d' := h congr · ext x y : 2 rw [hed, hed'] · exact UniformSpace.ext (hU.trans hU'.symm) · ext : 2 rw [← Filter.mem_sets, ← Filter.mem_sets, hB, hB']
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