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import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.Polynomial.RingDivision #align_import data.polynomial.mirror from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" namespace Polynomial open Polynomial section Semiring variable {R : Type*} [Semiring R] (p q : R[X]) noncomputable def mirror := p.reverse * X ^ p.natTrailingDegree #align polynomial.mirror Polynomial.mirror @[simp] theorem mirror_zero : (0 : R[X]).mirror = 0 := by simp [mirror] #align polynomial.mirror_zero Polynomial.mirror_zero theorem mirror_monomial (n : ℕ) (a : R) : (monomial n a).mirror = monomial n a := by classical by_cases ha : a = 0 · rw [ha, monomial_zero_right, mirror_zero] · rw [mirror, reverse, natDegree_monomial n a, if_neg ha, natTrailingDegree_monomial ha, ← C_mul_X_pow_eq_monomial, reflect_C_mul_X_pow, revAt_le (le_refl n), tsub_self, pow_zero, mul_one] #align polynomial.mirror_monomial Polynomial.mirror_monomial theorem mirror_C (a : R) : (C a).mirror = C a := mirror_monomial 0 a set_option linter.uppercaseLean3 false in #align polynomial.mirror_C Polynomial.mirror_C theorem mirror_X : X.mirror = (X : R[X]) := mirror_monomial 1 (1 : R) set_option linter.uppercaseLean3 false in #align polynomial.mirror_X Polynomial.mirror_X theorem mirror_natDegree : p.mirror.natDegree = p.natDegree := by by_cases hp : p = 0 · rw [hp, mirror_zero] nontriviality R rw [mirror, natDegree_mul', reverse_natDegree, natDegree_X_pow, tsub_add_cancel_of_le p.natTrailingDegree_le_natDegree] rwa [leadingCoeff_X_pow, mul_one, reverse_leadingCoeff, Ne, trailingCoeff_eq_zero] #align polynomial.mirror_nat_degree Polynomial.mirror_natDegree theorem mirror_natTrailingDegree : p.mirror.natTrailingDegree = p.natTrailingDegree := by by_cases hp : p = 0 · rw [hp, mirror_zero] · rw [mirror, natTrailingDegree_mul_X_pow ((mt reverse_eq_zero.mp) hp), natTrailingDegree_reverse, zero_add] #align polynomial.mirror_nat_trailing_degree Polynomial.mirror_natTrailingDegree theorem coeff_mirror (n : ℕ) : p.mirror.coeff n = p.coeff (revAt (p.natDegree + p.natTrailingDegree) n) := by by_cases h2 : p.natDegree < n · rw [coeff_eq_zero_of_natDegree_lt (by rwa [mirror_natDegree])] by_cases h1 : n ≤ p.natDegree + p.natTrailingDegree · rw [revAt_le h1, coeff_eq_zero_of_lt_natTrailingDegree] exact (tsub_lt_iff_left h1).mpr (Nat.add_lt_add_right h2 _) · rw [← revAtFun_eq, revAtFun, if_neg h1, coeff_eq_zero_of_natDegree_lt h2] rw [not_lt] at h2 rw [revAt_le (h2.trans (Nat.le_add_right _ _))] by_cases h3 : p.natTrailingDegree ≤ n · rw [← tsub_add_eq_add_tsub h2, ← tsub_tsub_assoc h2 h3, mirror, coeff_mul_X_pow', if_pos h3, coeff_reverse, revAt_le (tsub_le_self.trans h2)] rw [not_le] at h3 rw [coeff_eq_zero_of_natDegree_lt (lt_tsub_iff_right.mpr (Nat.add_lt_add_left h3 _))] exact coeff_eq_zero_of_lt_natTrailingDegree (by rwa [mirror_natTrailingDegree]) #align polynomial.coeff_mirror Polynomial.coeff_mirror --TODO: Extract `Finset.sum_range_rev_at` lemma. theorem mirror_eval_one : p.mirror.eval 1 = p.eval 1 := by simp_rw [eval_eq_sum_range, one_pow, mul_one, mirror_natDegree] refine Finset.sum_bij_ne_zero ?_ ?_ ?_ ?_ ?_ · exact fun n _ _ => revAt (p.natDegree + p.natTrailingDegree) n · intro n hn hp rw [Finset.mem_range_succ_iff] at * rw [revAt_le (hn.trans (Nat.le_add_right _ _))] rw [tsub_le_iff_tsub_le, add_comm, add_tsub_cancel_right, ← mirror_natTrailingDegree] exact natTrailingDegree_le_of_ne_zero hp · exact fun n₁ _ _ _ _ _ h => by rw [← @revAt_invol _ n₁, h, revAt_invol] · intro n hn hp use revAt (p.natDegree + p.natTrailingDegree) n refine ⟨?_, ?_, revAt_invol⟩ · rw [Finset.mem_range_succ_iff] at * rw [revAt_le (hn.trans (Nat.le_add_right _ _))] rw [tsub_le_iff_tsub_le, add_comm, add_tsub_cancel_right] exact natTrailingDegree_le_of_ne_zero hp · change p.mirror.coeff _ ≠ 0 rwa [coeff_mirror, revAt_invol] · exact fun n _ _ => p.coeff_mirror n #align polynomial.mirror_eval_one Polynomial.mirror_eval_one theorem mirror_mirror : p.mirror.mirror = p := Polynomial.ext fun n => by rw [coeff_mirror, coeff_mirror, mirror_natDegree, mirror_natTrailingDegree, revAt_invol] #align polynomial.mirror_mirror Polynomial.mirror_mirror variable {p q} theorem mirror_involutive : Function.Involutive (mirror : R[X] → R[X]) := mirror_mirror #align polynomial.mirror_involutive Polynomial.mirror_involutive theorem mirror_eq_iff : p.mirror = q ↔ p = q.mirror := mirror_involutive.eq_iff #align polynomial.mirror_eq_iff Polynomial.mirror_eq_iff @[simp] theorem mirror_inj : p.mirror = q.mirror ↔ p = q := mirror_involutive.injective.eq_iff #align polynomial.mirror_inj Polynomial.mirror_inj @[simp] theorem mirror_eq_zero : p.mirror = 0 ↔ p = 0 := ⟨fun h => by rw [← p.mirror_mirror, h, mirror_zero], fun h => by rw [h, mirror_zero]⟩ #align polynomial.mirror_eq_zero Polynomial.mirror_eq_zero variable (p q) @[simp]
Mathlib/Algebra/Polynomial/Mirror.lean
151
153
theorem mirror_trailingCoeff : p.mirror.trailingCoeff = p.leadingCoeff := by
rw [leadingCoeff, trailingCoeff, mirror_natTrailingDegree, coeff_mirror, revAt_le (Nat.le_add_left _ _), add_tsub_cancel_right]
import Mathlib.Algebra.DirectSum.Finsupp import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.DirectSum.TensorProduct #align_import linear_algebra.direct_sum.finsupp from "leanprover-community/mathlib"@"9b9d125b7be0930f564a68f1d73ace10cf46064d" noncomputable section open DirectSum TensorProduct open Set LinearMap Submodule variable (R S M N ι κ : Type*) [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N] [Semiring S] [Algebra R S] [Module S M] [IsScalarTower R S M] open scoped Classical in def finsuppTensorFinsupp : (ι →₀ M) ⊗[R] (κ →₀ N) ≃ₗ[S] ι × κ →₀ M ⊗[R] N := TensorProduct.AlgebraTensorModule.congr (finsuppLEquivDirectSum S M ι) (finsuppLEquivDirectSum R N κ) ≪≫ₗ ((TensorProduct.directSum R S (fun _ : ι => M) fun _ : κ => N) ≪≫ₗ (finsuppLEquivDirectSum S (M ⊗[R] N) (ι × κ)).symm) #align finsupp_tensor_finsupp finsuppTensorFinsupp @[simp] theorem finsuppTensorFinsupp_single (i : ι) (m : M) (k : κ) (n : N) : finsuppTensorFinsupp R S M N ι κ (Finsupp.single i m ⊗ₜ Finsupp.single k n) = Finsupp.single (i, k) (m ⊗ₜ n) := by simp [finsuppTensorFinsupp] #align finsupp_tensor_finsupp_single finsuppTensorFinsupp_single @[simp] theorem finsuppTensorFinsupp_apply (f : ι →₀ M) (g : κ →₀ N) (i : ι) (k : κ) : finsuppTensorFinsupp R S M N ι κ (f ⊗ₜ g) (i, k) = f i ⊗ₜ g k := by apply Finsupp.induction_linear f · simp · intro f₁ f₂ hf₁ hf₂ simp [add_tmul, hf₁, hf₂] intro i' m apply Finsupp.induction_linear g · simp · intro g₁ g₂ hg₁ hg₂ simp [tmul_add, hg₁, hg₂] intro k' n classical simp_rw [finsuppTensorFinsupp_single, Finsupp.single_apply, Prod.mk.inj_iff, ite_and] split_ifs <;> simp #align finsupp_tensor_finsupp_apply finsuppTensorFinsupp_apply @[simp] theorem finsuppTensorFinsupp_symm_single (i : ι × κ) (m : M) (n : N) : (finsuppTensorFinsupp R S M N ι κ).symm (Finsupp.single i (m ⊗ₜ n)) = Finsupp.single i.1 m ⊗ₜ Finsupp.single i.2 n := Prod.casesOn i fun _ _ => (LinearEquiv.symm_apply_eq _).2 (finsuppTensorFinsupp_single _ _ _ _ _ _ _ _ _ _).symm #align finsupp_tensor_finsupp_symm_single finsuppTensorFinsupp_symm_single def finsuppTensorFinsuppLid : (ι →₀ R) ⊗[R] (κ →₀ N) ≃ₗ[R] ι × κ →₀ N := finsuppTensorFinsupp R R R N ι κ ≪≫ₗ Finsupp.lcongr (Equiv.refl _) (TensorProduct.lid R N) @[simp]
Mathlib/LinearAlgebra/DirectSum/Finsupp.lean
293
295
theorem finsuppTensorFinsuppLid_apply_apply (f : ι →₀ R) (g : κ →₀ N) (a : ι) (b : κ) : finsuppTensorFinsuppLid R N ι κ (f ⊗ₜ[R] g) (a, b) = f a • g b := by
simp [finsuppTensorFinsuppLid]
import Mathlib.Data.Finset.Sum import Mathlib.Data.Sum.Order import Mathlib.Order.Interval.Finset.Defs #align_import data.sum.interval from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999" open Function Sum namespace Finset variable {α₁ α₂ β₁ β₂ γ₁ γ₂ : Type*} section SumLift₂ variable (f f₁ g₁ : α₁ → β₁ → Finset γ₁) (g f₂ g₂ : α₂ → β₂ → Finset γ₂) @[simp] def sumLift₂ : ∀ (_ : Sum α₁ α₂) (_ : Sum β₁ β₂), Finset (Sum γ₁ γ₂) | inl a, inl b => (f a b).map Embedding.inl | inl _, inr _ => ∅ | inr _, inl _ => ∅ | inr a, inr b => (g a b).map Embedding.inr #align finset.sum_lift₂ Finset.sumLift₂ variable {f f₁ g₁ g f₂ g₂} {a : Sum α₁ α₂} {b : Sum β₁ β₂} {c : Sum γ₁ γ₂} theorem mem_sumLift₂ : c ∈ sumLift₂ f g a b ↔ (∃ a₁ b₁ c₁, a = inl a₁ ∧ b = inl b₁ ∧ c = inl c₁ ∧ c₁ ∈ f a₁ b₁) ∨ ∃ a₂ b₂ c₂, a = inr a₂ ∧ b = inr b₂ ∧ c = inr c₂ ∧ c₂ ∈ g a₂ b₂ := by constructor · cases' a with a a <;> cases' b with b b · rw [sumLift₂, mem_map] rintro ⟨c, hc, rfl⟩ exact Or.inl ⟨a, b, c, rfl, rfl, rfl, hc⟩ · refine fun h ↦ (not_mem_empty _ h).elim · refine fun h ↦ (not_mem_empty _ h).elim · rw [sumLift₂, mem_map] rintro ⟨c, hc, rfl⟩ exact Or.inr ⟨a, b, c, rfl, rfl, rfl, hc⟩ · rintro (⟨a, b, c, rfl, rfl, rfl, h⟩ | ⟨a, b, c, rfl, rfl, rfl, h⟩) <;> exact mem_map_of_mem _ h #align finset.mem_sum_lift₂ Finset.mem_sumLift₂ theorem inl_mem_sumLift₂ {c₁ : γ₁} : inl c₁ ∈ sumLift₂ f g a b ↔ ∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ c₁ ∈ f a₁ b₁ := by rw [mem_sumLift₂, or_iff_left] · simp only [inl.injEq, exists_and_left, exists_eq_left'] rintro ⟨_, _, c₂, _, _, h, _⟩ exact inl_ne_inr h #align finset.inl_mem_sum_lift₂ Finset.inl_mem_sumLift₂
Mathlib/Data/Sum/Interval.lean
68
73
theorem inr_mem_sumLift₂ {c₂ : γ₂} : inr c₂ ∈ sumLift₂ f g a b ↔ ∃ a₂ b₂, a = inr a₂ ∧ b = inr b₂ ∧ c₂ ∈ g a₂ b₂ := by
rw [mem_sumLift₂, or_iff_right] · simp only [inr.injEq, exists_and_left, exists_eq_left'] rintro ⟨_, _, c₂, _, _, h, _⟩ exact inr_ne_inl h
import Mathlib.Analysis.SpecialFunctions.Bernstein import Mathlib.Topology.Algebra.Algebra #align_import topology.continuous_function.weierstrass from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" open ContinuousMap Filter open scoped unitInterval
Mathlib/Topology/ContinuousFunction/Weierstrass.lean
32
44
theorem polynomialFunctions_closure_eq_top' : (polynomialFunctions I).topologicalClosure = ⊤ := by
rw [eq_top_iff] rintro f - refine Filter.Frequently.mem_closure ?_ refine Filter.Tendsto.frequently (bernsteinApproximation_uniform f) ?_ apply frequently_of_forall intro n simp only [SetLike.mem_coe] apply Subalgebra.sum_mem rintro n - apply Subalgebra.smul_mem dsimp [bernstein, polynomialFunctions] simp
import Mathlib.Algebra.MvPolynomial.Variables #align_import data.mv_polynomial.supported from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" universe u v w namespace MvPolynomial variable {σ τ : Type*} {R : Type u} {S : Type v} {r : R} {e : ℕ} {n m : σ} section CommSemiring variable [CommSemiring R] {p q : MvPolynomial σ R} variable (R) noncomputable def supported (s : Set σ) : Subalgebra R (MvPolynomial σ R) := Algebra.adjoin R (X '' s) #align mv_polynomial.supported MvPolynomial.supported variable {R} open Algebra theorem supported_eq_range_rename (s : Set σ) : supported R s = (rename ((↑) : s → σ)).range := by rw [supported, Set.image_eq_range, adjoin_range_eq_range_aeval, rename] congr #align mv_polynomial.supported_eq_range_rename MvPolynomial.supported_eq_range_rename noncomputable def supportedEquivMvPolynomial (s : Set σ) : supported R s ≃ₐ[R] MvPolynomial s R := (Subalgebra.equivOfEq _ _ (supported_eq_range_rename s)).trans (AlgEquiv.ofInjective (rename ((↑) : s → σ)) (rename_injective _ Subtype.val_injective)).symm #align mv_polynomial.supported_equiv_mv_polynomial MvPolynomial.supportedEquivMvPolynomial @[simp, nolint simpNF] -- Porting note: the `simpNF` linter complained about this lemma. theorem supportedEquivMvPolynomial_symm_C (s : Set σ) (x : R) : (supportedEquivMvPolynomial s).symm (C x) = algebraMap R (supported R s) x := by ext1 simp [supportedEquivMvPolynomial, MvPolynomial.algebraMap_eq] set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_equiv_mv_polynomial_symm_C MvPolynomial.supportedEquivMvPolynomial_symm_C @[simp, nolint simpNF] -- Porting note: the `simpNF` linter complained about this lemma. theorem supportedEquivMvPolynomial_symm_X (s : Set σ) (i : s) : (↑((supportedEquivMvPolynomial s).symm (X i : MvPolynomial s R)) : MvPolynomial σ R) = X ↑i := by simp [supportedEquivMvPolynomial] set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_equiv_mv_polynomial_symm_X MvPolynomial.supportedEquivMvPolynomial_symm_X variable {s t : Set σ} theorem mem_supported : p ∈ supported R s ↔ ↑p.vars ⊆ s := by classical rw [supported_eq_range_rename, AlgHom.mem_range] constructor · rintro ⟨p, rfl⟩ refine _root_.trans (Finset.coe_subset.2 (vars_rename _ _)) ?_ simp · intro hs exact exists_rename_eq_of_vars_subset_range p ((↑) : s → σ) Subtype.val_injective (by simpa) #align mv_polynomial.mem_supported MvPolynomial.mem_supported theorem supported_eq_vars_subset : (supported R s : Set (MvPolynomial σ R)) = { p | ↑p.vars ⊆ s } := Set.ext fun _ ↦ mem_supported #align mv_polynomial.supported_eq_vars_subset MvPolynomial.supported_eq_vars_subset @[simp] theorem mem_supported_vars (p : MvPolynomial σ R) : p ∈ supported R (↑p.vars : Set σ) := by rw [mem_supported] #align mv_polynomial.mem_supported_vars MvPolynomial.mem_supported_vars variable (s) theorem supported_eq_adjoin_X : supported R s = Algebra.adjoin R (X '' s) := rfl set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_eq_adjoin_X MvPolynomial.supported_eq_adjoin_X @[simp]
Mathlib/Algebra/MvPolynomial/Supported.lean
102
103
theorem supported_univ : supported R (Set.univ : Set σ) = ⊤ := by
simp [Algebra.eq_top_iff, mem_supported]
import Mathlib.NumberTheory.LegendreSymbol.JacobiSymbol #align_import number_theory.legendre_symbol.norm_num from "leanprover-community/mathlib"@"e2621d935895abe70071ab828a4ee6e26a52afe4" section Lemmas namespace Mathlib.Meta.NormNum def jacobiSymNat (a b : ℕ) : ℤ := jacobiSym a b #align norm_num.jacobi_sym_nat Mathlib.Meta.NormNum.jacobiSymNat theorem jacobiSymNat.zero_right (a : ℕ) : jacobiSymNat a 0 = 1 := by rw [jacobiSymNat, jacobiSym.zero_right] #align norm_num.jacobi_sym_nat.zero_right Mathlib.Meta.NormNum.jacobiSymNat.zero_right theorem jacobiSymNat.one_right (a : ℕ) : jacobiSymNat a 1 = 1 := by rw [jacobiSymNat, jacobiSym.one_right] #align norm_num.jacobi_sym_nat.one_right Mathlib.Meta.NormNum.jacobiSymNat.one_right
Mathlib/Tactic/NormNum/LegendreSymbol.lean
76
82
theorem jacobiSymNat.zero_left (b : ℕ) (hb : Nat.beq (b / 2) 0 = false) : jacobiSymNat 0 b = 0 := by
rw [jacobiSymNat, Nat.cast_zero, jacobiSym.zero_left ?_] calc 1 < 2 * 1 := by decide _ ≤ 2 * (b / 2) := Nat.mul_le_mul_left _ (Nat.succ_le.mpr (Nat.pos_of_ne_zero (Nat.ne_of_beq_eq_false hb))) _ ≤ b := Nat.mul_div_le b 2
import Mathlib.Algebra.MvPolynomial.Degrees #align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Set Function Finsupp AddMonoidAlgebra universe u v w variable {R : Type u} {S : Type v} namespace MvPolynomial variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ} section CommSemiring variable [CommSemiring R] {p q : MvPolynomial σ R} section Vars def vars (p : MvPolynomial σ R) : Finset σ := letI := Classical.decEq σ p.degrees.toFinset #align mv_polynomial.vars MvPolynomial.vars theorem vars_def [DecidableEq σ] (p : MvPolynomial σ R) : p.vars = p.degrees.toFinset := by rw [vars] convert rfl #align mv_polynomial.vars_def MvPolynomial.vars_def @[simp] theorem vars_0 : (0 : MvPolynomial σ R).vars = ∅ := by classical rw [vars_def, degrees_zero, Multiset.toFinset_zero] #align mv_polynomial.vars_0 MvPolynomial.vars_0 @[simp] theorem vars_monomial (h : r ≠ 0) : (monomial s r).vars = s.support := by classical rw [vars_def, degrees_monomial_eq _ _ h, Finsupp.toFinset_toMultiset] #align mv_polynomial.vars_monomial MvPolynomial.vars_monomial @[simp] theorem vars_C : (C r : MvPolynomial σ R).vars = ∅ := by classical rw [vars_def, degrees_C, Multiset.toFinset_zero] set_option linter.uppercaseLean3 false in #align mv_polynomial.vars_C MvPolynomial.vars_C @[simp] theorem vars_X [Nontrivial R] : (X n : MvPolynomial σ R).vars = {n} := by rw [X, vars_monomial (one_ne_zero' R), Finsupp.support_single_ne_zero _ (one_ne_zero' ℕ)] set_option linter.uppercaseLean3 false in #align mv_polynomial.vars_X MvPolynomial.vars_X theorem mem_vars (i : σ) : i ∈ p.vars ↔ ∃ d ∈ p.support, i ∈ d.support := by classical simp only [vars_def, Multiset.mem_toFinset, mem_degrees, mem_support_iff, exists_prop] #align mv_polynomial.mem_vars MvPolynomial.mem_vars theorem mem_support_not_mem_vars_zero {f : MvPolynomial σ R} {x : σ →₀ ℕ} (H : x ∈ f.support) {v : σ} (h : v ∉ vars f) : x v = 0 := by contrapose! h exact (mem_vars v).mpr ⟨x, H, Finsupp.mem_support_iff.mpr h⟩ #align mv_polynomial.mem_support_not_mem_vars_zero MvPolynomial.mem_support_not_mem_vars_zero
Mathlib/Algebra/MvPolynomial/Variables.lean
108
112
theorem vars_add_subset [DecidableEq σ] (p q : MvPolynomial σ R) : (p + q).vars ⊆ p.vars ∪ q.vars := by
intro x hx simp only [vars_def, Finset.mem_union, Multiset.mem_toFinset] at hx ⊢ simpa using Multiset.mem_of_le (degrees_add _ _) hx
import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality import Mathlib.MeasureTheory.Measure.OpenPos import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Order.Filter.IndicatorFunction #align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology MeasureTheory Uniformity variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory @[simp] theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) : snorm (AEEqFun.mk f hf) p μ = snorm f p μ := snorm_congr_ae (AEEqFun.coeFn_mk _ _) #align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun
Mathlib/MeasureTheory/Function/LpSpace.lean
95
97
theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) : snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by
simp [hfp.2]
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.LinearAlgebra.Eigenspace.Basic import Mathlib.LinearAlgebra.Determinant variable {K n : Type*} [NormedField K] [Fintype n] [DecidableEq n] {A : Matrix n n K}
Mathlib/LinearAlgebra/Matrix/Gershgorin.lean
26
56
theorem eigenvalue_mem_ball {μ : K} (hμ : Module.End.HasEigenvalue (Matrix.toLin' A) μ) : ∃ k, μ ∈ Metric.closedBall (A k k) (∑ j ∈ Finset.univ.erase k, ‖A k j‖) := by
cases isEmpty_or_nonempty n · exfalso exact hμ Submodule.eq_bot_of_subsingleton · obtain ⟨v, h_eg, h_nz⟩ := hμ.exists_hasEigenvector obtain ⟨i, -, h_i⟩ := Finset.exists_mem_eq_sup' Finset.univ_nonempty (fun i => ‖v i‖) have h_nz : v i ≠ 0 := by contrapose! h_nz ext j rw [Pi.zero_apply, ← norm_le_zero_iff] refine (h_i ▸ Finset.le_sup' (fun i => ‖v i‖) (Finset.mem_univ j)).trans ?_ exact norm_le_zero_iff.mpr h_nz have h_le : ∀ j, ‖v j * (v i)⁻¹‖ ≤ 1 := fun j => by rw [norm_mul, norm_inv, mul_inv_le_iff' (norm_pos_iff.mpr h_nz), one_mul] exact h_i ▸ Finset.le_sup' (fun i => ‖v i‖) (Finset.mem_univ j) simp_rw [mem_closedBall_iff_norm'] refine ⟨i, ?_⟩ calc _ = ‖(A i i * v i - μ * v i) * (v i)⁻¹‖ := by congr; field_simp [h_nz]; ring _ = ‖(A i i * v i - ∑ j, A i j * v j) * (v i)⁻¹‖ := by rw [show μ * v i = ∑ x : n, A i x * v x by rw [← Matrix.dotProduct, ← Matrix.mulVec] exact (congrFun (Module.End.mem_eigenspace_iff.mp h_eg) i).symm] _ = ‖(∑ j ∈ Finset.univ.erase i, A i j * v j) * (v i)⁻¹‖ := by rw [Finset.sum_erase_eq_sub (Finset.mem_univ i), ← neg_sub, neg_mul, norm_neg] _ ≤ ∑ j ∈ Finset.univ.erase i, ‖A i j‖ * ‖v j * (v i)⁻¹‖ := by rw [Finset.sum_mul] exact (norm_sum_le _ _).trans (le_of_eq (by simp_rw [mul_assoc, norm_mul])) _ ≤ ∑ j ∈ Finset.univ.erase i, ‖A i j‖ := (Finset.sum_le_sum fun j _ => mul_le_of_le_one_right (norm_nonneg _) (h_le j))
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral namespace Complex noncomputable def betaIntegral (u v : ℂ) : ℂ := ∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) #align complex.beta_integral Complex.betaIntegral theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by apply IntervalIntegrable.mul_continuousOn · refine intervalIntegral.intervalIntegrable_cpow' ?_ rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right] · apply ContinuousAt.continuousOn intro x hx rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx apply ContinuousAt.cpow · exact (continuous_const.sub continuous_ofReal).continuousAt · exact continuousAt_const · norm_cast exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2] #align complex.beta_integral_convergent_left Complex.betaIntegral_convergent_left theorem betaIntegral_convergent {u v : ℂ} (hu : 0 < re u) (hv : 0 < re v) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 1 := by refine (betaIntegral_convergent_left hu v).trans ?_ rw [IntervalIntegrable.iff_comp_neg] convert ((betaIntegral_convergent_left hv u).comp_add_right 1).symm using 1 · ext1 x conv_lhs => rw [mul_comm] congr 2 <;> · push_cast; ring · norm_num · norm_num #align complex.beta_integral_convergent Complex.betaIntegral_convergent
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
93
102
theorem betaIntegral_symm (u v : ℂ) : betaIntegral v u = betaIntegral u v := by
rw [betaIntegral, betaIntegral] have := intervalIntegral.integral_comp_mul_add (a := 0) (b := 1) (c := -1) (fun x : ℝ => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1)) neg_one_lt_zero.ne 1 rw [inv_neg, inv_one, neg_one_smul, ← intervalIntegral.integral_symm] at this simp? at this says simp only [neg_mul, one_mul, ofReal_add, ofReal_neg, ofReal_one, sub_add_cancel_right, neg_neg, mul_one, add_left_neg, mul_zero, zero_add] at this conv_lhs at this => arg 1; intro x; rw [add_comm, ← sub_eq_add_neg, mul_comm] exact this
import Mathlib.RingTheory.Ideal.IsPrimary import Mathlib.RingTheory.Localization.AtPrime import Mathlib.Order.Minimal #align_import ring_theory.ideal.minimal_prime from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" section variable {R S : Type*} [CommSemiring R] [CommSemiring S] (I J : Ideal R) protected def Ideal.minimalPrimes : Set (Ideal R) := minimals (· ≤ ·) { p | p.IsPrime ∧ I ≤ p } #align ideal.minimal_primes Ideal.minimalPrimes variable (R) in def minimalPrimes : Set (Ideal R) := Ideal.minimalPrimes ⊥ #align minimal_primes minimalPrimes lemma minimalPrimes_eq_minimals : minimalPrimes R = minimals (· ≤ ·) (setOf Ideal.IsPrime) := congr_arg (minimals (· ≤ ·)) (by simp) variable {I J} theorem Ideal.exists_minimalPrimes_le [J.IsPrime] (e : I ≤ J) : ∃ p ∈ I.minimalPrimes, p ≤ J := by suffices ∃ m ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ OrderDual.ofDual p }, OrderDual.toDual J ≤ m ∧ ∀ z ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ p }, m ≤ z → z = m by obtain ⟨p, h₁, h₂, h₃⟩ := this simp_rw [← @eq_comm _ p] at h₃ exact ⟨p, ⟨h₁, fun a b c => le_of_eq (h₃ a b c)⟩, h₂⟩ apply zorn_nonempty_partialOrder₀ swap · refine ⟨show J.IsPrime by infer_instance, e⟩ rintro (c : Set (Ideal R)) hc hc' J' hJ' refine ⟨OrderDual.toDual (sInf c), ⟨Ideal.sInf_isPrime_of_isChain ⟨J', hJ'⟩ hc'.symm fun x hx => (hc hx).1, ?_⟩, ?_⟩ · rw [OrderDual.ofDual_toDual, le_sInf_iff] exact fun _ hx => (hc hx).2 · rintro z hz rw [OrderDual.le_toDual] exact sInf_le hz #align ideal.exists_minimal_primes_le Ideal.exists_minimalPrimes_le @[simp] theorem Ideal.radical_minimalPrimes : I.radical.minimalPrimes = I.minimalPrimes := by rw [Ideal.minimalPrimes, Ideal.minimalPrimes] ext p refine ⟨?_, ?_⟩ <;> rintro ⟨⟨a, ha⟩, b⟩ · refine ⟨⟨a, a.radical_le_iff.1 ha⟩, ?_⟩ simp only [Set.mem_setOf_eq, and_imp] at * exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.2 h3) h4 · refine ⟨⟨a, a.radical_le_iff.2 ha⟩, ?_⟩ simp only [Set.mem_setOf_eq, and_imp] at * exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.1 h3) h4 #align ideal.radical_minimal_primes Ideal.radical_minimalPrimes @[simp]
Mathlib/RingTheory/Ideal/MinimalPrime.lean
91
101
theorem Ideal.sInf_minimalPrimes : sInf I.minimalPrimes = I.radical := by
rw [I.radical_eq_sInf] apply le_antisymm · intro x hx rw [Ideal.mem_sInf] at hx ⊢ rintro J ⟨e, hJ⟩ obtain ⟨p, hp, hp'⟩ := Ideal.exists_minimalPrimes_le e exact hp' (hx hp) · apply sInf_le_sInf _ intro I hI exact hI.1.symm
import Mathlib.Probability.Kernel.Composition #align_import probability.kernel.invariance from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b" open MeasureTheory open scoped MeasureTheory ENNReal ProbabilityTheory namespace ProbabilityTheory variable {α β γ : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} namespace kernel @[simp] theorem bind_add (μ ν : Measure α) (κ : kernel α β) : (μ + ν).bind κ = μ.bind κ + ν.bind κ := by ext1 s hs rw [Measure.bind_apply hs (kernel.measurable _), lintegral_add_measure, Measure.coe_add, Pi.add_apply, Measure.bind_apply hs (kernel.measurable _), Measure.bind_apply hs (kernel.measurable _)] #align probability_theory.kernel.bind_add ProbabilityTheory.kernel.bind_add @[simp] theorem bind_smul (κ : kernel α β) (μ : Measure α) (r : ℝ≥0∞) : (r • μ).bind κ = r • μ.bind κ := by ext1 s hs rw [Measure.bind_apply hs (kernel.measurable _), lintegral_smul_measure, Measure.coe_smul, Pi.smul_apply, Measure.bind_apply hs (kernel.measurable _), smul_eq_mul] #align probability_theory.kernel.bind_smul ProbabilityTheory.kernel.bind_smul theorem const_bind_eq_comp_const (κ : kernel α β) (μ : Measure α) : const α (μ.bind κ) = κ ∘ₖ const α μ := by ext a s hs simp_rw [comp_apply' _ _ _ hs, const_apply, Measure.bind_apply hs (kernel.measurable _)] #align probability_theory.kernel.const_bind_eq_comp_const ProbabilityTheory.kernel.const_bind_eq_comp_const theorem comp_const_apply_eq_bind (κ : kernel α β) (μ : Measure α) (a : α) : (κ ∘ₖ const α μ) a = μ.bind κ := by rw [← const_apply (μ.bind κ) a, const_bind_eq_comp_const κ μ] #align probability_theory.kernel.comp_const_apply_eq_bind ProbabilityTheory.kernel.comp_const_apply_eq_bind def Invariant (κ : kernel α α) (μ : Measure α) : Prop := μ.bind κ = μ #align probability_theory.kernel.invariant ProbabilityTheory.kernel.Invariant variable {κ η : kernel α α} {μ : Measure α} theorem Invariant.def (hκ : Invariant κ μ) : μ.bind κ = μ := hκ #align probability_theory.kernel.invariant.def ProbabilityTheory.kernel.Invariant.def theorem Invariant.comp_const (hκ : Invariant κ μ) : κ ∘ₖ const α μ = const α μ := by rw [← const_bind_eq_comp_const κ μ, hκ.def] #align probability_theory.kernel.invariant.comp_const ProbabilityTheory.kernel.Invariant.comp_const
Mathlib/Probability/Kernel/Invariance.lean
87
92
theorem Invariant.comp [IsSFiniteKernel κ] (hκ : Invariant κ μ) (hη : Invariant η μ) : Invariant (κ ∘ₖ η) μ := by
cases' isEmpty_or_nonempty α with _ hα · exact Subsingleton.elim _ _ · simp_rw [Invariant, ← comp_const_apply_eq_bind (κ ∘ₖ η) μ hα.some, comp_assoc, hη.comp_const, hκ.comp_const, const_apply]
import Mathlib.Data.Countable.Basic import Mathlib.Logic.Encodable.Basic import Mathlib.Order.SuccPred.Basic import Mathlib.Order.Interval.Finset.Defs #align_import order.succ_pred.linear_locally_finite from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9" open Order variable {ι : Type*} [LinearOrder ι] namespace LinearLocallyFiniteOrder noncomputable def succFn (i : ι) : ι := (exists_glb_Ioi i).choose #align linear_locally_finite_order.succ_fn LinearLocallyFiniteOrder.succFn theorem succFn_spec (i : ι) : IsGLB (Set.Ioi i) (succFn i) := (exists_glb_Ioi i).choose_spec #align linear_locally_finite_order.succ_fn_spec LinearLocallyFiniteOrder.succFn_spec
Mathlib/Order/SuccPred/LinearLocallyFinite.lean
72
74
theorem le_succFn (i : ι) : i ≤ succFn i := by
rw [le_isGLB_iff (succFn_spec i), mem_lowerBounds] exact fun x hx ↦ le_of_lt hx
import Mathlib.FieldTheory.PurelyInseparable import Mathlib.FieldTheory.PerfectClosure open scoped Classical Polynomial open FiniteDimensional Polynomial IntermediateField Field noncomputable section def pNilradical (R : Type*) [CommSemiring R] (p : ℕ) : Ideal R := if 1 < p then nilradical R else ⊥ theorem pNilradical_le_nilradical {R : Type*} [CommSemiring R] {p : ℕ} : pNilradical R p ≤ nilradical R := by by_cases hp : 1 < p · rw [pNilradical, if_pos hp] simp_rw [pNilradical, if_neg hp, bot_le] theorem pNilradical_eq_nilradical {R : Type*} [CommSemiring R] {p : ℕ} (hp : 1 < p) : pNilradical R p = nilradical R := by rw [pNilradical, if_pos hp]
Mathlib/FieldTheory/IsPerfectClosure.lean
84
85
theorem pNilradical_eq_bot {R : Type*} [CommSemiring R] {p : ℕ} (hp : ¬ 1 < p) : pNilradical R p = ⊥ := by
rw [pNilradical, if_neg hp]
import Mathlib.CategoryTheory.Limits.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Pullbacks import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts #align_import category_theory.limits.constructions.equalizers from "leanprover-community/mathlib"@"3424a5932a77dcec2c177ce7d805acace6149299" noncomputable section universe v v' u u' open CategoryTheory CategoryTheory.Category namespace CategoryTheory.Limits variable {C : Type u} [Category.{v} C] variable {D : Type u'} [Category.{v'} D] (G : C ⥤ D) -- We hide the "implementation details" inside a namespace namespace HasEqualizersOfHasPullbacksAndBinaryProducts variable [HasBinaryProducts C] [HasPullbacks C] abbrev constructEqualizer (F : WalkingParallelPair ⥤ C) : C := pullback (prod.lift (𝟙 _) (F.map WalkingParallelPairHom.left)) (prod.lift (𝟙 _) (F.map WalkingParallelPairHom.right)) #align category_theory.limits.has_equalizers_of_has_pullbacks_and_binary_products.construct_equalizer CategoryTheory.Limits.HasEqualizersOfHasPullbacksAndBinaryProducts.constructEqualizer abbrev pullbackFst (F : WalkingParallelPair ⥤ C) : constructEqualizer F ⟶ F.obj WalkingParallelPair.zero := pullback.fst #align category_theory.limits.has_equalizers_of_has_pullbacks_and_binary_products.pullback_fst CategoryTheory.Limits.HasEqualizersOfHasPullbacksAndBinaryProducts.pullbackFst
Mathlib/CategoryTheory/Limits/Constructions/Equalizers.lean
51
54
theorem pullbackFst_eq_pullback_snd (F : WalkingParallelPair ⥤ C) : pullbackFst F = pullback.snd := by
convert (eq_whisker pullback.condition Limits.prod.fst : (_ : constructEqualizer F ⟶ F.obj WalkingParallelPair.zero) = _) <;> simp
import Mathlib.CategoryTheory.Sites.Subsheaf import Mathlib.CategoryTheory.Sites.CompatibleSheafification import Mathlib.CategoryTheory.Sites.LocallyInjective #align_import category_theory.sites.surjective from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v u w v' u' w' open Opposite CategoryTheory CategoryTheory.GrothendieckTopology namespace CategoryTheory variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike variable {A : Type u'} [Category.{v'} A] [ConcreteCategory.{w'} A] namespace Presheaf @[simps (config := .lemmasOnly)] def imageSieve {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : G.obj (op U)) : Sieve U where arrows V i := ∃ t : F.obj (op V), f.app _ t = G.map i.op s downward_closed := by rintro V W i ⟨t, ht⟩ j refine ⟨F.map j.op t, ?_⟩ rw [op_comp, G.map_comp, comp_apply, ← ht, elementwise_of% f.naturality] #align category_theory.image_sieve CategoryTheory.Presheaf.imageSieve theorem imageSieve_eq_sieveOfSection {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : G.obj (op U)) : imageSieve f s = (imagePresheaf (whiskerRight f (forget A))).sieveOfSection s := rfl #align category_theory.image_sieve_eq_sieve_of_section CategoryTheory.Presheaf.imageSieve_eq_sieveOfSection theorem imageSieve_whisker_forget {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : G.obj (op U)) : imageSieve (whiskerRight f (forget A)) s = imageSieve f s := rfl #align category_theory.image_sieve_whisker_forget CategoryTheory.Presheaf.imageSieve_whisker_forget theorem imageSieve_app {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : F.obj (op U)) : imageSieve f (f.app _ s) = ⊤ := by ext V i simp only [Sieve.top_apply, iff_true_iff, imageSieve_apply] have := elementwise_of% (f.naturality i.op) exact ⟨F.map i.op s, this s⟩ #align category_theory.image_sieve_app CategoryTheory.Presheaf.imageSieve_app noncomputable def localPreimage {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : Cᵒᵖ} (s : G.obj U) {V : C} (g : V ⟶ U.unop) (hg : imageSieve f s g) : F.obj (op V) := hg.choose @[simp] lemma app_localPreimage {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : Cᵒᵖ} (s : G.obj U) {V : C} (g : V ⟶ U.unop) (hg : imageSieve f s g) : f.app _ (localPreimage f s g hg) = G.map g.op s := hg.choose_spec class IsLocallySurjective {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) : Prop where imageSieve_mem {U : C} (s : G.obj (op U)) : imageSieve f s ∈ J U #align category_theory.is_locally_surjective CategoryTheory.Presheaf.IsLocallySurjective lemma imageSieve_mem {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) [IsLocallySurjective J f] {U : Cᵒᵖ} (s : G.obj U) : imageSieve f s ∈ J U.unop := IsLocallySurjective.imageSieve_mem _ instance {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) [IsLocallySurjective J f] : IsLocallySurjective J (whiskerRight f (forget A)) where imageSieve_mem s := imageSieve_mem J f s theorem isLocallySurjective_iff_imagePresheaf_sheafify_eq_top {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) : IsLocallySurjective J f ↔ (imagePresheaf (whiskerRight f (forget A))).sheafify J = ⊤ := by simp only [Subpresheaf.ext_iff, Function.funext_iff, Set.ext_iff, top_subpresheaf_obj, Set.top_eq_univ, Set.mem_univ, iff_true_iff] exact ⟨fun H _ => H.imageSieve_mem, fun H => ⟨H _⟩⟩ #align category_theory.is_locally_surjective_iff_image_presheaf_sheafify_eq_top CategoryTheory.Presheaf.isLocallySurjective_iff_imagePresheaf_sheafify_eq_top theorem isLocallySurjective_iff_imagePresheaf_sheafify_eq_top' {F G : Cᵒᵖ ⥤ Type w} (f : F ⟶ G) : IsLocallySurjective J f ↔ (imagePresheaf f).sheafify J = ⊤ := by apply isLocallySurjective_iff_imagePresheaf_sheafify_eq_top #align category_theory.is_locally_surjective_iff_image_presheaf_sheafify_eq_top' CategoryTheory.Presheaf.isLocallySurjective_iff_imagePresheaf_sheafify_eq_top'
Mathlib/CategoryTheory/Sites/LocallySurjective.lean
113
116
theorem isLocallySurjective_iff_whisker_forget {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) : IsLocallySurjective J f ↔ IsLocallySurjective J (whiskerRight f (forget A)) := by
simp only [isLocallySurjective_iff_imagePresheaf_sheafify_eq_top] rfl
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.Tactic.FieldSimp import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.Basis #align_import linear_algebra.determinant from "leanprover-community/mathlib"@"0c1d80f5a86b36c1db32e021e8d19ae7809d5b79" noncomputable section open Matrix LinearMap Submodule Set Function universe u v w variable {R : Type*} [CommRing R] variable {M : Type*} [AddCommGroup M] [Module R M] variable {M' : Type*} [AddCommGroup M'] [Module R M'] variable {ι : Type*} [DecidableEq ι] [Fintype ι] variable (e : Basis ι R M) section Conjugate variable {A : Type*} [CommRing A] variable {m n : Type*} def equivOfPiLEquivPi {R : Type*} [Finite m] [Finite n] [CommRing R] [Nontrivial R] (e : (m → R) ≃ₗ[R] n → R) : m ≃ n := Basis.indexEquiv (Basis.ofEquivFun e.symm) (Pi.basisFun _ _) #align equiv_of_pi_lequiv_pi equivOfPiLEquivPi namespace Matrix variable [Fintype m] [Fintype n] def indexEquivOfInv [Nontrivial A] [DecidableEq m] [DecidableEq n] {M : Matrix m n A} {M' : Matrix n m A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : m ≃ n := equivOfPiLEquivPi (toLin'OfInv hMM' hM'M) #align matrix.index_equiv_of_inv Matrix.indexEquivOfInv theorem det_comm [DecidableEq n] (M N : Matrix n n A) : det (M * N) = det (N * M) := by rw [det_mul, det_mul, mul_comm] #align matrix.det_comm Matrix.det_comm theorem det_comm' [DecidableEq m] [DecidableEq n] {M : Matrix n m A} {N : Matrix m n A} {M' : Matrix m n A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : det (M * N) = det (N * M) := by nontriviality A -- Although `m` and `n` are different a priori, we will show they have the same cardinality. -- This turns the problem into one for square matrices, which is easy. let e := indexEquivOfInv hMM' hM'M rw [← det_submatrix_equiv_self e, ← submatrix_mul_equiv _ _ _ (Equiv.refl n) _, det_comm, submatrix_mul_equiv, Equiv.coe_refl, submatrix_id_id] #align matrix.det_comm' Matrix.det_comm'
Mathlib/LinearAlgebra/Determinant.lean
96
99
theorem det_conj_of_mul_eq_one [DecidableEq m] [DecidableEq n] {M : Matrix m n A} {M' : Matrix n m A} {N : Matrix n n A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : det (M * N * M') = det N := by
rw [← det_comm' hM'M hMM', ← Matrix.mul_assoc, hM'M, Matrix.one_mul]
import Mathlib.Combinatorics.SimpleGraph.Connectivity namespace SimpleGraph universe u v variable {V : Type u} {V' : Type v} {G : SimpleGraph V} {G' : SimpleGraph V'} namespace Subgraph protected structure Preconnected (H : G.Subgraph) : Prop where protected coe : H.coe.Preconnected instance {H : G.Subgraph} : Coe H.Preconnected H.coe.Preconnected := ⟨Preconnected.coe⟩ instance {H : G.Subgraph} : CoeFun H.Preconnected (fun _ => ∀ u v : H.verts, H.coe.Reachable u v) := ⟨fun h => h.coe⟩ protected lemma preconnected_iff {H : G.Subgraph} : H.Preconnected ↔ H.coe.Preconnected := ⟨fun ⟨h⟩ => h, .mk⟩ protected structure Connected (H : G.Subgraph) : Prop where protected coe : H.coe.Connected #align simple_graph.subgraph.connected SimpleGraph.Subgraph.Connected instance {H : G.Subgraph} : Coe H.Connected H.coe.Connected := ⟨Connected.coe⟩ instance {H : G.Subgraph} : CoeFun H.Connected (fun _ => ∀ u v : H.verts, H.coe.Reachable u v) := ⟨fun h => h.coe⟩ protected lemma connected_iff' {H : G.Subgraph} : H.Connected ↔ H.coe.Connected := ⟨fun ⟨h⟩ => h, .mk⟩ protected lemma connected_iff {H : G.Subgraph} : H.Connected ↔ H.Preconnected ∧ H.verts.Nonempty := by rw [H.connected_iff', connected_iff, H.preconnected_iff, Set.nonempty_coe_sort] protected lemma Connected.preconnected {H : G.Subgraph} (h : H.Connected) : H.Preconnected := by rw [H.connected_iff] at h; exact h.1 protected lemma Connected.nonempty {H : G.Subgraph} (h : H.Connected) : H.verts.Nonempty := by rw [H.connected_iff] at h; exact h.2
Mathlib/Combinatorics/SimpleGraph/Connectivity/Subgraph.lean
64
69
theorem singletonSubgraph_connected {v : V} : (G.singletonSubgraph v).Connected := by
refine ⟨⟨?_⟩⟩ rintro ⟨a, ha⟩ ⟨b, hb⟩ simp only [singletonSubgraph_verts, Set.mem_singleton_iff] at ha hb subst_vars rfl
import Mathlib.Order.Interval.Set.Basic import Mathlib.Order.Hom.Set #align_import data.set.intervals.order_iso from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" open Set namespace OrderIso section Preorder variable {α β : Type*} [Preorder α] [Preorder β] @[simp] theorem preimage_Iic (e : α ≃o β) (b : β) : e ⁻¹' Iic b = Iic (e.symm b) := by ext x simp [← e.le_iff_le] #align order_iso.preimage_Iic OrderIso.preimage_Iic @[simp] theorem preimage_Ici (e : α ≃o β) (b : β) : e ⁻¹' Ici b = Ici (e.symm b) := by ext x simp [← e.le_iff_le] #align order_iso.preimage_Ici OrderIso.preimage_Ici @[simp] theorem preimage_Iio (e : α ≃o β) (b : β) : e ⁻¹' Iio b = Iio (e.symm b) := by ext x simp [← e.lt_iff_lt] #align order_iso.preimage_Iio OrderIso.preimage_Iio @[simp] theorem preimage_Ioi (e : α ≃o β) (b : β) : e ⁻¹' Ioi b = Ioi (e.symm b) := by ext x simp [← e.lt_iff_lt] #align order_iso.preimage_Ioi OrderIso.preimage_Ioi @[simp]
Mathlib/Order/Interval/Set/OrderIso.lean
48
49
theorem preimage_Icc (e : α ≃o β) (a b : β) : e ⁻¹' Icc a b = Icc (e.symm a) (e.symm b) := by
simp [← Ici_inter_Iic]
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst
Mathlib/Tactic/CancelDenoms/Core.lean
59
60
theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by
simp [left_distrib, *, sub_eq_add_neg]
import Mathlib.Algebra.GCDMonoid.Basic import Mathlib.Algebra.EuclideanDomain.Basic import Mathlib.RingTheory.Ideal.Basic import Mathlib.RingTheory.PrincipalIdealDomain #align_import ring_theory.euclidean_domain from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6" section open EuclideanDomain Set Ideal section GCDMonoid variable {R : Type*} [EuclideanDomain R] [GCDMonoid R] {p q : R} theorem gcd_ne_zero_of_left (hp : p ≠ 0) : GCDMonoid.gcd p q ≠ 0 := fun h => hp <| eq_zero_of_zero_dvd (h ▸ gcd_dvd_left p q) #align gcd_ne_zero_of_left gcd_ne_zero_of_left theorem gcd_ne_zero_of_right (hp : q ≠ 0) : GCDMonoid.gcd p q ≠ 0 := fun h => hp <| eq_zero_of_zero_dvd (h ▸ gcd_dvd_right p q) #align gcd_ne_zero_of_right gcd_ne_zero_of_right
Mathlib/RingTheory/EuclideanDomain.lean
42
47
theorem left_div_gcd_ne_zero {p q : R} (hp : p ≠ 0) : p / GCDMonoid.gcd p q ≠ 0 := by
obtain ⟨r, hr⟩ := GCDMonoid.gcd_dvd_left p q obtain ⟨pq0, r0⟩ : GCDMonoid.gcd p q ≠ 0 ∧ r ≠ 0 := mul_ne_zero_iff.mp (hr ▸ hp) nth_rw 1 [hr] rw [mul_comm, mul_div_cancel_right₀ _ pq0] exact r0
import Mathlib.RingTheory.WittVector.Basic #align_import ring_theory.witt_vector.teichmuller from "leanprover-community/mathlib"@"c0a51cf2de54089d69301befc4c73bbc2f5c7342" namespace WittVector open MvPolynomial variable (p : ℕ) {R S : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] local notation "𝕎" => WittVector p -- type as `\bbW` def teichmullerFun (r : R) : 𝕎 R := ⟨fun n => if n = 0 then r else 0⟩ #align witt_vector.teichmuller_fun WittVector.teichmullerFun private theorem ghostComponent_teichmullerFun (r : R) (n : ℕ) : ghostComponent n (teichmullerFun p r) = r ^ p ^ n := by rw [ghostComponent_apply, aeval_wittPolynomial, Finset.sum_eq_single 0, pow_zero, one_mul, tsub_zero] · rfl · intro i _ h0 simp [teichmullerFun, h0, hp.1.ne_zero] · rw [Finset.mem_range]; intro h; exact (h (Nat.succ_pos n)).elim private theorem map_teichmullerFun (f : R →+* S) (r : R) : map f (teichmullerFun p r) = teichmullerFun p (f r) := by ext n; cases n · rfl · exact f.map_zero private theorem teichmuller_mul_aux₁ (x y : MvPolynomial R ℚ) : teichmullerFun p (x * y) = teichmullerFun p x * teichmullerFun p y := by apply (ghostMap.bijective_of_invertible p (MvPolynomial R ℚ)).1 rw [RingHom.map_mul] ext1 n simp only [Pi.mul_apply, ghostMap_apply, ghostComponent_teichmullerFun, mul_pow] private theorem teichmuller_mul_aux₂ (x y : MvPolynomial R ℤ) : teichmullerFun p (x * y) = teichmullerFun p x * teichmullerFun p y := by refine map_injective (MvPolynomial.map (Int.castRingHom ℚ)) (MvPolynomial.map_injective _ Int.cast_injective) ?_ simp only [teichmuller_mul_aux₁, map_teichmullerFun, RingHom.map_mul] def teichmuller : R →* 𝕎 R where toFun := teichmullerFun p map_one' := by ext ⟨⟩ · rw [one_coeff_zero]; rfl · rw [one_coeff_eq_of_pos _ _ _ (Nat.succ_pos _)]; rfl map_mul' := by intro x y rcases counit_surjective R x with ⟨x, rfl⟩ rcases counit_surjective R y with ⟨y, rfl⟩ simp only [← map_teichmullerFun, ← RingHom.map_mul, teichmuller_mul_aux₂] #align witt_vector.teichmuller WittVector.teichmuller @[simp] theorem teichmuller_coeff_zero (r : R) : (teichmuller p r).coeff 0 = r := rfl #align witt_vector.teichmuller_coeff_zero WittVector.teichmuller_coeff_zero @[simp] theorem teichmuller_coeff_pos (r : R) : ∀ (n : ℕ) (_ : 0 < n), (teichmuller p r).coeff n = 0 | _ + 1, _ => rfl #align witt_vector.teichmuller_coeff_pos WittVector.teichmuller_coeff_pos @[simp]
Mathlib/RingTheory/WittVector/Teichmuller.lean
116
117
theorem teichmuller_zero : teichmuller p (0 : R) = 0 := by
ext ⟨⟩ <;> · rw [zero_coeff]; rfl
import Mathlib.Tactic.CategoryTheory.Coherence import Mathlib.CategoryTheory.Bicategory.Coherence namespace CategoryTheory namespace Bicategory open Category open scoped Bicategory open Mathlib.Tactic.BicategoryCoherence (bicategoricalComp bicategoricalIsoComp) universe w v u variable {B : Type u} [Bicategory.{w, v} B] {a b c : B} {f : a ⟶ b} {g : b ⟶ a} def leftZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) := η ▷ f ⊗≫ f ◁ ε def rightZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) := g ◁ η ⊗≫ ε ▷ g theorem rightZigzag_idempotent_of_left_triangle (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) (h : leftZigzag η ε = (λ_ _).hom ≫ (ρ_ _).inv) : rightZigzag η ε ⊗≫ rightZigzag η ε = rightZigzag η ε := by dsimp only [rightZigzag] calc _ = g ◁ η ⊗≫ ((ε ▷ g ▷ 𝟙 a) ≫ (𝟙 b ≫ g) ◁ η) ⊗≫ ε ▷ g := by simp [bicategoricalComp]; coherence _ = 𝟙 _ ⊗≫ g ◁ (η ▷ 𝟙 a ≫ (f ≫ g) ◁ η) ⊗≫ (ε ▷ (g ≫ f) ≫ 𝟙 b ◁ ε) ▷ g ⊗≫ 𝟙 _ := by rw [← whisker_exchange]; simp [bicategoricalComp]; coherence _ = g ◁ η ⊗≫ g ◁ leftZigzag η ε ▷ g ⊗≫ ε ▷ g := by rw [← whisker_exchange, ← whisker_exchange]; simp [leftZigzag, bicategoricalComp]; coherence _ = g ◁ η ⊗≫ ε ▷ g := by rw [h]; simp [bicategoricalComp]; coherence structure Adjunction (f : a ⟶ b) (g : b ⟶ a) where unit : 𝟙 a ⟶ f ≫ g counit : g ≫ f ⟶ 𝟙 b left_triangle : leftZigzag unit counit = (λ_ _).hom ≫ (ρ_ _).inv := by aesop_cat right_triangle : rightZigzag unit counit = (ρ_ _).hom ≫ (λ_ _).inv := by aesop_cat @[inherit_doc] scoped infixr:15 " ⊣ " => Bicategory.Adjunction namespace Adjunction attribute [simp] left_triangle right_triangle attribute [local simp] leftZigzag rightZigzag def id (a : B) : 𝟙 a ⊣ 𝟙 a where unit := (ρ_ _).inv counit := (ρ_ _).hom left_triangle := by dsimp; coherence right_triangle := by dsimp; coherence instance : Inhabited (Adjunction (𝟙 a) (𝟙 a)) := ⟨id a⟩ noncomputable section variable (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) def leftZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) := whiskerRightIso η f ≪⊗≫ whiskerLeftIso f ε def rightZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) := whiskerLeftIso g η ≪⊗≫ whiskerRightIso ε g attribute [local simp] leftZigzagIso rightZigzagIso leftZigzag rightZigzag @[simp] theorem leftZigzagIso_hom : (leftZigzagIso η ε).hom = leftZigzag η.hom ε.hom := rfl @[simp] theorem rightZigzagIso_hom : (rightZigzagIso η ε).hom = rightZigzag η.hom ε.hom := rfl @[simp] theorem leftZigzagIso_inv : (leftZigzagIso η ε).inv = rightZigzag ε.inv η.inv := by simp [bicategoricalComp, bicategoricalIsoComp] @[simp] theorem rightZigzagIso_inv : (rightZigzagIso η ε).inv = leftZigzag ε.inv η.inv := by simp [bicategoricalComp, bicategoricalIsoComp] @[simp] theorem leftZigzagIso_symm : (leftZigzagIso η ε).symm = rightZigzagIso ε.symm η.symm := Iso.ext (leftZigzagIso_inv η ε) @[simp] theorem rightZigzagIso_symm : (rightZigzagIso η ε).symm = leftZigzagIso ε.symm η.symm := Iso.ext (rightZigzagIso_inv η ε) instance : IsIso (leftZigzag η.hom ε.hom) := inferInstanceAs <| IsIso (leftZigzagIso η ε).hom instance : IsIso (rightZigzag η.hom ε.hom) := inferInstanceAs <| IsIso (rightZigzagIso η ε).hom theorem right_triangle_of_left_triangle (h : leftZigzag η.hom ε.hom = (λ_ f).hom ≫ (ρ_ f).inv) : rightZigzag η.hom ε.hom = (ρ_ g).hom ≫ (λ_ g).inv := by rw [← cancel_epi (rightZigzag η.hom ε.hom ≫ (λ_ g).hom ≫ (ρ_ g).inv)] calc _ = rightZigzag η.hom ε.hom ⊗≫ rightZigzag η.hom ε.hom := by coherence _ = rightZigzag η.hom ε.hom := rightZigzag_idempotent_of_left_triangle _ _ h _ = _ := by simp def adjointifyCounit (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) : g ≫ f ≅ 𝟙 b := whiskerLeftIso g ((ρ_ f).symm ≪≫ rightZigzagIso ε.symm η.symm ≪≫ λ_ f) ≪≫ ε
Mathlib/CategoryTheory/Bicategory/Adjunction.lean
232
247
theorem adjointifyCounit_left_triangle (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) : leftZigzagIso η (adjointifyCounit η ε) = λ_ f ≪≫ (ρ_ f).symm := by
apply Iso.ext dsimp [adjointifyCounit, bicategoricalIsoComp] calc _ = 𝟙 _ ⊗≫ (η.hom ▷ (f ≫ 𝟙 b) ≫ (f ≫ g) ◁ f ◁ ε.inv) ⊗≫ f ◁ g ◁ η.inv ▷ f ⊗≫ f ◁ ε.hom := by simp [bicategoricalComp]; coherence _ = 𝟙 _ ⊗≫ f ◁ ε.inv ⊗≫ (η.hom ▷ (f ≫ g) ≫ (f ≫ g) ◁ η.inv) ▷ f ⊗≫ f ◁ ε.hom := by rw [← whisker_exchange η.hom (f ◁ ε.inv)]; simp [bicategoricalComp]; coherence _ = 𝟙 _ ⊗≫ f ◁ ε.inv ⊗≫ (η.inv ≫ η.hom) ▷ f ⊗≫ f ◁ ε.hom := by rw [← whisker_exchange η.hom η.inv]; coherence _ = 𝟙 _ ⊗≫ f ◁ (ε.inv ≫ ε.hom) := by rw [Iso.inv_hom_id]; simp [bicategoricalComp] _ = _ := by rw [Iso.inv_hom_id]; simp [bicategoricalComp]
import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.FractionalIdeal.Basic #align_import ring_theory.fractional_ideal from "leanprover-community/mathlib"@"ed90a7d327c3a5caf65a6faf7e8a0d63c4605df7" open IsLocalization Pointwise nonZeroDivisors namespace FractionalIdeal open Set Submodule variable {R : Type*} [CommRing R] {S : Submonoid R} {P : Type*} [CommRing P] variable [Algebra R P] [loc : IsLocalization S P] section variable {P' : Type*} [CommRing P'] [Algebra R P'] [loc' : IsLocalization S P'] variable {P'' : Type*} [CommRing P''] [Algebra R P''] [loc'' : IsLocalization S P''] theorem _root_.IsFractional.map (g : P →ₐ[R] P') {I : Submodule R P} : IsFractional S I → IsFractional S (Submodule.map g.toLinearMap I) | ⟨a, a_nonzero, hI⟩ => ⟨a, a_nonzero, fun b hb => by obtain ⟨b', b'_mem, hb'⟩ := Submodule.mem_map.mp hb rw [AlgHom.toLinearMap_apply] at hb' obtain ⟨x, hx⟩ := hI b' b'_mem use x rw [← g.commutes, hx, g.map_smul, hb']⟩ #align is_fractional.map IsFractional.map def map (g : P →ₐ[R] P') : FractionalIdeal S P → FractionalIdeal S P' := fun I => ⟨Submodule.map g.toLinearMap I, I.isFractional.map g⟩ #align fractional_ideal.map FractionalIdeal.map @[simp, norm_cast] theorem coe_map (g : P →ₐ[R] P') (I : FractionalIdeal S P) : ↑(map g I) = Submodule.map g.toLinearMap I := rfl #align fractional_ideal.coe_map FractionalIdeal.coe_map @[simp] theorem mem_map {I : FractionalIdeal S P} {g : P →ₐ[R] P'} {y : P'} : y ∈ I.map g ↔ ∃ x, x ∈ I ∧ g x = y := Submodule.mem_map #align fractional_ideal.mem_map FractionalIdeal.mem_map variable (I J : FractionalIdeal S P) (g : P →ₐ[R] P') @[simp] theorem map_id : I.map (AlgHom.id _ _) = I := coeToSubmodule_injective (Submodule.map_id (I : Submodule R P)) #align fractional_ideal.map_id FractionalIdeal.map_id @[simp] theorem map_comp (g' : P' →ₐ[R] P'') : I.map (g'.comp g) = (I.map g).map g' := coeToSubmodule_injective (Submodule.map_comp g.toLinearMap g'.toLinearMap I) #align fractional_ideal.map_comp FractionalIdeal.map_comp @[simp, norm_cast] theorem map_coeIdeal (I : Ideal R) : (I : FractionalIdeal S P).map g = I := by ext x simp only [mem_coeIdeal] constructor · rintro ⟨_, ⟨y, hy, rfl⟩, rfl⟩ exact ⟨y, hy, (g.commutes y).symm⟩ · rintro ⟨y, hy, rfl⟩ exact ⟨_, ⟨y, hy, rfl⟩, g.commutes y⟩ #align fractional_ideal.map_coe_ideal FractionalIdeal.map_coeIdeal @[simp] theorem map_one : (1 : FractionalIdeal S P).map g = 1 := map_coeIdeal g ⊤ #align fractional_ideal.map_one FractionalIdeal.map_one @[simp] theorem map_zero : (0 : FractionalIdeal S P).map g = 0 := map_coeIdeal g 0 #align fractional_ideal.map_zero FractionalIdeal.map_zero @[simp] theorem map_add : (I + J).map g = I.map g + J.map g := coeToSubmodule_injective (Submodule.map_sup _ _ _) #align fractional_ideal.map_add FractionalIdeal.map_add @[simp]
Mathlib/RingTheory/FractionalIdeal/Operations.lean
117
119
theorem map_mul : (I * J).map g = I.map g * J.map g := by
simp only [mul_def] exact coeToSubmodule_injective (Submodule.map_mul _ _ _)
import Mathlib.Algebra.Order.Ring.Nat import Mathlib.Algebra.Order.Monoid.WithTop #align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2" namespace Nat namespace WithBot instance : WellFoundedRelation (WithBot ℕ) where rel := (· < ·) wf := IsWellFounded.wf theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by rcases n, m with ⟨_ | _, _ | _⟩ repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩) · exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩ repeat erw [WithBot.coe_eq_coe] exact add_eq_zero_iff' (zero_le _) (zero_le _) #align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by rcases n, m with ⟨_ | _, _ | _⟩ repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩; aesop (simp_config := { decide := true }) repeat erw [WithBot.coe_eq_coe] exact Nat.add_eq_one_iff #align nat.with_bot.add_eq_one_iff Nat.WithBot.add_eq_one_iff theorem add_eq_two_iff {n m : WithBot ℕ} : n + m = 2 ↔ n = 0 ∧ m = 2 ∨ n = 1 ∧ m = 1 ∨ n = 2 ∧ m = 0 := by rcases n, m with ⟨_ | _, _ | _⟩ repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩; aesop (simp_config := { decide := true }) repeat erw [WithBot.coe_eq_coe] exact Nat.add_eq_two_iff #align nat.with_bot.add_eq_two_iff Nat.WithBot.add_eq_two_iff theorem add_eq_three_iff {n m : WithBot ℕ} : n + m = 3 ↔ n = 0 ∧ m = 3 ∨ n = 1 ∧ m = 2 ∨ n = 2 ∧ m = 1 ∨ n = 3 ∧ m = 0 := by rcases n, m with ⟨_ | _, _ | _⟩ repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩; aesop (simp_config := { decide := true }) repeat erw [WithBot.coe_eq_coe] exact Nat.add_eq_three_iff #align nat.with_bot.add_eq_three_iff Nat.WithBot.add_eq_three_iff theorem coe_nonneg {n : ℕ} : 0 ≤ (n : WithBot ℕ) := by rw [← WithBot.coe_zero] exact WithBot.coe_le_coe.mpr (Nat.zero_le n) #align nat.with_bot.coe_nonneg Nat.WithBot.coe_nonneg @[simp] theorem lt_zero_iff {n : WithBot ℕ} : n < 0 ↔ n = ⊥ := WithBot.lt_coe_bot #align nat.with_bot.lt_zero_iff Nat.WithBot.lt_zero_iff theorem one_le_iff_zero_lt {x : WithBot ℕ} : 1 ≤ x ↔ 0 < x := by refine ⟨fun h => lt_of_lt_of_le (WithBot.coe_lt_coe.mpr zero_lt_one) h, fun h => ?_⟩ induction x · exact (not_lt_bot h).elim · exact WithBot.coe_le_coe.mpr (Nat.succ_le_iff.mpr (WithBot.coe_lt_coe.mp h)) #align nat.with_bot.one_le_iff_zero_lt Nat.WithBot.one_le_iff_zero_lt theorem lt_one_iff_le_zero {x : WithBot ℕ} : x < 1 ↔ x ≤ 0 := not_iff_not.mp (by simpa using one_le_iff_zero_lt) #align nat.with_bot.lt_one_iff_le_zero Nat.WithBot.lt_one_iff_le_zero
Mathlib/Data/Nat/WithBot.lean
81
85
theorem add_one_le_of_lt {n m : WithBot ℕ} (h : n < m) : n + 1 ≤ m := by
cases n · exact bot_le cases m exacts [(not_lt_bot h).elim, WithBot.coe_le_coe.2 (WithBot.coe_lt_coe.1 h)]
import Mathlib.Data.Stream.Init import Mathlib.Tactic.Common #align_import data.seq.computation from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" open Function universe u v w def Computation (α : Type u) : Type u := { f : Stream' (Option α) // ∀ ⦃n a⦄, f n = some a → f (n + 1) = some a } #align computation Computation namespace Computation variable {α : Type u} {β : Type v} {γ : Type w} -- constructors -- Porting note: `return` is reserved, so changed to `pure` def pure (a : α) : Computation α := ⟨Stream'.const (some a), fun _ _ => id⟩ #align computation.return Computation.pure instance : CoeTC α (Computation α) := ⟨pure⟩ -- note [use has_coe_t] def think (c : Computation α) : Computation α := ⟨Stream'.cons none c.1, fun n a h => by cases' n with n · contradiction · exact c.2 h⟩ #align computation.think Computation.think def thinkN (c : Computation α) : ℕ → Computation α | 0 => c | n + 1 => think (thinkN c n) set_option linter.uppercaseLean3 false in #align computation.thinkN Computation.thinkN -- check for immediate result def head (c : Computation α) : Option α := c.1.head #align computation.head Computation.head -- one step of computation def tail (c : Computation α) : Computation α := ⟨c.1.tail, fun _ _ h => c.2 h⟩ #align computation.tail Computation.tail def empty (α) : Computation α := ⟨Stream'.const none, fun _ _ => id⟩ #align computation.empty Computation.empty instance : Inhabited (Computation α) := ⟨empty _⟩ def runFor : Computation α → ℕ → Option α := Subtype.val #align computation.run_for Computation.runFor def destruct (c : Computation α) : Sum α (Computation α) := match c.1 0 with | none => Sum.inr (tail c) | some a => Sum.inl a #align computation.destruct Computation.destruct unsafe def run : Computation α → α | c => match destruct c with | Sum.inl a => a | Sum.inr ca => run ca #align computation.run Computation.run theorem destruct_eq_pure {s : Computation α} {a : α} : destruct s = Sum.inl a → s = pure a := by dsimp [destruct] induction' f0 : s.1 0 with _ <;> intro h · contradiction · apply Subtype.eq funext n induction' n with n IH · injection h with h' rwa [h'] at f0 · exact s.2 IH #align computation.destruct_eq_ret Computation.destruct_eq_pure
Mathlib/Data/Seq/Computation.lean
126
136
theorem destruct_eq_think {s : Computation α} {s'} : destruct s = Sum.inr s' → s = think s' := by
dsimp [destruct] induction' f0 : s.1 0 with a' <;> intro h · injection h with h' rw [← h'] cases' s with f al apply Subtype.eq dsimp [think, tail] rw [← f0] exact (Stream'.eta f).symm · contradiction
import Mathlib.GroupTheory.Coxeter.Length import Mathlib.Data.ZMod.Parity namespace CoxeterSystem open List Matrix Function variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd local prefix:100 "ℓ" => cs.length def IsReflection (t : W) : Prop := ∃ w i, t = w * s i * w⁻¹ theorem isReflection_simple (i : B) : cs.IsReflection (s i) := by use 1, i; simp namespace IsReflection variable {cs} variable {t : W} (ht : cs.IsReflection t) theorem pow_two : t ^ 2 = 1 := by rcases ht with ⟨w, i, rfl⟩ simp theorem mul_self : t * t = 1 := by rcases ht with ⟨w, i, rfl⟩ simp theorem inv : t⁻¹ = t := by rcases ht with ⟨w, i, rfl⟩ simp [mul_assoc] theorem isReflection_inv : cs.IsReflection t⁻¹ := by rwa [ht.inv] theorem odd_length : Odd (ℓ t) := by suffices cs.lengthParity t = Multiplicative.ofAdd 1 by simpa [lengthParity_eq_ofAdd_length, ZMod.eq_one_iff_odd] rcases ht with ⟨w, i, rfl⟩ simp [lengthParity_simple] theorem length_mul_left_ne (w : W) : ℓ (w * t) ≠ ℓ w := by suffices cs.lengthParity (w * t) ≠ cs.lengthParity w by contrapose! this simp only [lengthParity_eq_ofAdd_length, this] rcases ht with ⟨w, i, rfl⟩ simp [lengthParity_simple]
Mathlib/GroupTheory/Coxeter/Inversion.lean
95
100
theorem length_mul_right_ne (w : W) : ℓ (t * w) ≠ ℓ w := by
suffices cs.lengthParity (t * w) ≠ cs.lengthParity w by contrapose! this simp only [lengthParity_eq_ofAdd_length, this] rcases ht with ⟨w, i, rfl⟩ simp [lengthParity_simple]
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp]
Mathlib/SetTheory/Ordinal/Exponential.lean
46
47
theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by
rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero]
import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Combinatorics.SimpleGraph.Density import Mathlib.Data.Rat.BigOperators #align_import combinatorics.simple_graph.regularity.energy from "leanprover-community/mathlib"@"bf7ef0e83e5b7e6c1169e97f055e58a2e4e9d52d" open Finset variable {α : Type*} [DecidableEq α] {s : Finset α} (P : Finpartition s) (G : SimpleGraph α) [DecidableRel G.Adj] namespace Finpartition def energy : ℚ := ((∑ uv ∈ P.parts.offDiag, G.edgeDensity uv.1 uv.2 ^ 2) : ℚ) / (P.parts.card : ℚ) ^ 2 #align finpartition.energy Finpartition.energy theorem energy_nonneg : 0 ≤ P.energy G := by exact div_nonneg (Finset.sum_nonneg fun _ _ => sq_nonneg _) <| sq_nonneg _ #align finpartition.energy_nonneg Finpartition.energy_nonneg theorem energy_le_one : P.energy G ≤ 1 := div_le_of_nonneg_of_le_mul (sq_nonneg _) zero_le_one <| calc ∑ uv ∈ P.parts.offDiag, G.edgeDensity uv.1 uv.2 ^ 2 ≤ P.parts.offDiag.card • (1 : ℚ) := sum_le_card_nsmul _ _ 1 fun uv _ => (sq_le_one_iff <| G.edgeDensity_nonneg _ _).2 <| G.edgeDensity_le_one _ _ _ = P.parts.offDiag.card := Nat.smul_one_eq_cast _ _ ≤ _ := by rw [offDiag_card, one_mul] norm_cast rw [sq] exact tsub_le_self #align finpartition.energy_le_one Finpartition.energy_le_one @[simp, norm_cast]
Mathlib/Combinatorics/SimpleGraph/Regularity/Energy.lean
61
63
theorem coe_energy {𝕜 : Type*} [LinearOrderedField 𝕜] : (P.energy G : 𝕜) = (∑ uv ∈ P.parts.offDiag, (G.edgeDensity uv.1 uv.2 : 𝕜) ^ 2) / (P.parts.card : 𝕜) ^ 2 := by
rw [energy]; norm_cast
import Mathlib.Order.Filter.SmallSets import Mathlib.Tactic.Monotonicity import Mathlib.Topology.Compactness.Compact import Mathlib.Topology.NhdsSet import Mathlib.Algebra.Group.Defs #align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c" open Set Filter Topology universe u v ua ub uc ud variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*} def idRel {α : Type*} := { p : α × α | p.1 = p.2 } #align id_rel idRel @[simp] theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b := Iff.rfl #align mem_id_rel mem_idRel @[simp] theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by simp [subset_def] #align id_rel_subset idRel_subset def compRel (r₁ r₂ : Set (α × α)) := { p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ } #align comp_rel compRel @[inherit_doc] scoped[Uniformity] infixl:62 " ○ " => compRel open Uniformity @[simp] theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} : (x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ := Iff.rfl #align mem_comp_rel mem_compRel @[simp] theorem swap_idRel : Prod.swap '' idRel = @idRel α := Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm #align swap_id_rel swap_idRel theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) : Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩ #align monotone.comp_rel Monotone.compRel @[mono] theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k := fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩ #align comp_rel_mono compRel_mono theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) : (a, b) ∈ s ○ t := ⟨c, h₁, h₂⟩ #align prod_mk_mem_comp_rel prod_mk_mem_compRel @[simp] theorem id_compRel {r : Set (α × α)} : idRel ○ r = r := Set.ext fun ⟨a, b⟩ => by simp #align id_comp_rel id_compRel theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by ext ⟨a, b⟩; simp only [mem_compRel]; tauto #align comp_rel_assoc compRel_assoc theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in => ⟨y, xy_in, h <| rfl⟩ #align left_subset_comp_rel left_subset_compRel theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in => ⟨x, h <| rfl, xy_in⟩ #align right_subset_comp_rel right_subset_compRel theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s := left_subset_compRel h #align subset_comp_self subset_comp_self theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) : t ⊆ (s ○ ·)^[n] t := by induction' n with n ihn generalizing t exacts [Subset.rfl, (right_subset_compRel h).trans ihn] #align subset_iterate_comp_rel subset_iterate_compRel def SymmetricRel (V : Set (α × α)) : Prop := Prod.swap ⁻¹' V = V #align symmetric_rel SymmetricRel def symmetrizeRel (V : Set (α × α)) : Set (α × α) := V ∩ Prod.swap ⁻¹' V #align symmetrize_rel symmetrizeRel
Mathlib/Topology/UniformSpace/Basic.lean
215
216
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Order.Iterate import Mathlib.Order.SemiconjSup import Mathlib.Tactic.Monotonicity import Mathlib.Topology.Order.MonotoneContinuity #align_import dynamics.circle.rotation_number.translation_number from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical open Filter Set Int Topology open Function hiding Commute structure CircleDeg1Lift extends ℝ →o ℝ : Type where map_add_one' : ∀ x, toFun (x + 1) = toFun x + 1 #align circle_deg1_lift CircleDeg1Lift namespace CircleDeg1Lift instance : FunLike CircleDeg1Lift ℝ ℝ where coe f := f.toFun coe_injective' | ⟨⟨_, _⟩, _⟩, ⟨⟨_, _⟩, _⟩, rfl => rfl instance : OrderHomClass CircleDeg1Lift ℝ ℝ where map_rel f _ _ h := f.monotone' h @[simp] theorem coe_mk (f h) : ⇑(mk f h) = f := rfl #align circle_deg1_lift.coe_mk CircleDeg1Lift.coe_mk variable (f g : CircleDeg1Lift) @[simp] theorem coe_toOrderHom : ⇑f.toOrderHom = f := rfl protected theorem monotone : Monotone f := f.monotone' #align circle_deg1_lift.monotone CircleDeg1Lift.monotone @[mono] theorem mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h #align circle_deg1_lift.mono CircleDeg1Lift.mono theorem strictMono_iff_injective : StrictMono f ↔ Injective f := f.monotone.strictMono_iff_injective #align circle_deg1_lift.strict_mono_iff_injective CircleDeg1Lift.strictMono_iff_injective @[simp] theorem map_add_one : ∀ x, f (x + 1) = f x + 1 := f.map_add_one' #align circle_deg1_lift.map_add_one CircleDeg1Lift.map_add_one @[simp] theorem map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm 1] #align circle_deg1_lift.map_one_add CircleDeg1Lift.map_one_add #noalign circle_deg1_lift.coe_inj -- Use `DFunLike.coe_inj` @[ext] theorem ext ⦃f g : CircleDeg1Lift⦄ (h : ∀ x, f x = g x) : f = g := DFunLike.ext f g h #align circle_deg1_lift.ext CircleDeg1Lift.ext theorem ext_iff {f g : CircleDeg1Lift} : f = g ↔ ∀ x, f x = g x := DFunLike.ext_iff #align circle_deg1_lift.ext_iff CircleDeg1Lift.ext_iff instance : Monoid CircleDeg1Lift where mul f g := { toOrderHom := f.1.comp g.1 map_add_one' := fun x => by simp [map_add_one] } one := ⟨.id, fun _ => rfl⟩ mul_one f := rfl one_mul f := rfl mul_assoc f₁ f₂ f₃ := DFunLike.coe_injective rfl instance : Inhabited CircleDeg1Lift := ⟨1⟩ @[simp] theorem coe_mul : ⇑(f * g) = f ∘ g := rfl #align circle_deg1_lift.coe_mul CircleDeg1Lift.coe_mul theorem mul_apply (x) : (f * g) x = f (g x) := rfl #align circle_deg1_lift.mul_apply CircleDeg1Lift.mul_apply @[simp] theorem coe_one : ⇑(1 : CircleDeg1Lift) = id := rfl #align circle_deg1_lift.coe_one CircleDeg1Lift.coe_one instance unitsHasCoeToFun : CoeFun CircleDeg1Liftˣ fun _ => ℝ → ℝ := ⟨fun f => ⇑(f : CircleDeg1Lift)⟩ #align circle_deg1_lift.units_has_coe_to_fun CircleDeg1Lift.unitsHasCoeToFun #noalign circle_deg1_lift.units_coe -- now LHS = RHS @[simp]
Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean
213
214
theorem units_inv_apply_apply (f : CircleDeg1Liftˣ) (x : ℝ) : (f⁻¹ : CircleDeg1Liftˣ) (f x) = x := by
simp only [← mul_apply, f.inv_mul, coe_one, id]
import Mathlib.Data.Set.Pointwise.SMul import Mathlib.Topology.MetricSpace.Isometry import Mathlib.Topology.MetricSpace.Lipschitz #align_import topology.metric_space.isometric_smul from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Set open ENNReal Pointwise universe u v w variable (M : Type u) (G : Type v) (X : Type w) class IsometricVAdd [PseudoEMetricSpace X] [VAdd M X] : Prop where protected isometry_vadd : ∀ c : M, Isometry ((c +ᵥ ·) : X → X) #align has_isometric_vadd IsometricVAdd @[to_additive] class IsometricSMul [PseudoEMetricSpace X] [SMul M X] : Prop where protected isometry_smul : ∀ c : M, Isometry ((c • ·) : X → X) #align has_isometric_smul IsometricSMul -- Porting note: Lean 4 doesn't support `[]` in classes, so make a lemma instead of `export`ing @[to_additive] theorem isometry_smul {M : Type u} (X : Type w) [PseudoEMetricSpace X] [SMul M X] [IsometricSMul M X] (c : M) : Isometry (c • · : X → X) := IsometricSMul.isometry_smul c @[to_additive] instance (priority := 100) IsometricSMul.to_continuousConstSMul [PseudoEMetricSpace X] [SMul M X] [IsometricSMul M X] : ContinuousConstSMul M X := ⟨fun c => (isometry_smul X c).continuous⟩ #align has_isometric_smul.to_has_continuous_const_smul IsometricSMul.to_continuousConstSMul #align has_isometric_vadd.to_has_continuous_const_vadd IsometricVAdd.to_continuousConstVAdd @[to_additive] instance (priority := 100) IsometricSMul.opposite_of_comm [PseudoEMetricSpace X] [SMul M X] [SMul Mᵐᵒᵖ X] [IsCentralScalar M X] [IsometricSMul M X] : IsometricSMul Mᵐᵒᵖ X := ⟨fun c x y => by simpa only [← op_smul_eq_smul] using isometry_smul X c.unop x y⟩ #align has_isometric_smul.opposite_of_comm IsometricSMul.opposite_of_comm #align has_isometric_vadd.opposite_of_comm IsometricVAdd.opposite_of_comm variable {M G X} section EMetric variable [PseudoEMetricSpace X] [Group G] [MulAction G X] [IsometricSMul G X] @[to_additive (attr := simp)] theorem edist_smul_left [SMul M X] [IsometricSMul M X] (c : M) (x y : X) : edist (c • x) (c • y) = edist x y := isometry_smul X c x y #align edist_smul_left edist_smul_left #align edist_vadd_left edist_vadd_left @[to_additive (attr := simp)] theorem ediam_smul [SMul M X] [IsometricSMul M X] (c : M) (s : Set X) : EMetric.diam (c • s) = EMetric.diam s := (isometry_smul _ _).ediam_image s #align ediam_smul ediam_smul #align ediam_vadd ediam_vadd @[to_additive] theorem isometry_mul_left [Mul M] [PseudoEMetricSpace M] [IsometricSMul M M] (a : M) : Isometry (a * ·) := isometry_smul M a #align isometry_mul_left isometry_mul_left #align isometry_add_left isometry_add_left @[to_additive (attr := simp)] theorem edist_mul_left [Mul M] [PseudoEMetricSpace M] [IsometricSMul M M] (a b c : M) : edist (a * b) (a * c) = edist b c := isometry_mul_left a b c #align edist_mul_left edist_mul_left #align edist_add_left edist_add_left @[to_additive] theorem isometry_mul_right [Mul M] [PseudoEMetricSpace M] [IsometricSMul Mᵐᵒᵖ M] (a : M) : Isometry fun x => x * a := isometry_smul M (MulOpposite.op a) #align isometry_mul_right isometry_mul_right #align isometry_add_right isometry_add_right @[to_additive (attr := simp)] theorem edist_mul_right [Mul M] [PseudoEMetricSpace M] [IsometricSMul Mᵐᵒᵖ M] (a b c : M) : edist (a * c) (b * c) = edist a b := isometry_mul_right c a b #align edist_mul_right edist_mul_right #align edist_add_right edist_add_right @[to_additive (attr := simp)]
Mathlib/Topology/MetricSpace/IsometricSMul.lean
121
123
theorem edist_div_right [DivInvMonoid M] [PseudoEMetricSpace M] [IsometricSMul Mᵐᵒᵖ M] (a b c : M) : edist (a / c) (b / c) = edist a b := by
simp only [div_eq_mul_inv, edist_mul_right]
import Mathlib.Init.Order.Defs #align_import init.algebra.functions from "leanprover-community/lean"@"c2bcdbcbe741ed37c361a30d38e179182b989f76" universe u section open Decidable variable {α : Type u} [LinearOrder α] theorem min_def (a b : α) : min a b = if a ≤ b then a else b := by rw [LinearOrder.min_def a] #align min_def min_def theorem max_def (a b : α) : max a b = if a ≤ b then b else a := by rw [LinearOrder.max_def a] #align max_def max_def theorem min_le_left (a b : α) : min a b ≤ a := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h, le_refl] else simp [min_def, if_neg h]; exact le_of_not_le h #align min_le_left min_le_left theorem min_le_right (a b : α) : min a b ≤ b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h]; exact h else simp [min_def, if_neg h, le_refl] #align min_le_right min_le_right theorem le_min {a b c : α} (h₁ : c ≤ a) (h₂ : c ≤ b) : c ≤ min a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h]; exact h₁ else simp [min_def, if_neg h]; exact h₂ #align le_min le_min theorem le_max_left (a b : α) : a ≤ max a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h]; exact h else simp [max_def, if_neg h, le_refl] #align le_max_left le_max_left theorem le_max_right (a b : α) : b ≤ max a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h, le_refl] else simp [max_def, if_neg h]; exact le_of_not_le h #align le_max_right le_max_right theorem max_le {a b c : α} (h₁ : a ≤ c) (h₂ : b ≤ c) : max a b ≤ c := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h]; exact h₂ else simp [max_def, if_neg h]; exact h₁ #align max_le max_le theorem eq_min {a b c : α} (h₁ : c ≤ a) (h₂ : c ≤ b) (h₃ : ∀ {d}, d ≤ a → d ≤ b → d ≤ c) : c = min a b := le_antisymm (le_min h₁ h₂) (h₃ (min_le_left a b) (min_le_right a b)) #align eq_min eq_min theorem min_comm (a b : α) : min a b = min b a := eq_min (min_le_right a b) (min_le_left a b) fun h₁ h₂ => le_min h₂ h₁ #align min_comm min_comm theorem min_assoc (a b c : α) : min (min a b) c = min a (min b c) := by apply eq_min · apply le_trans; apply min_le_left; apply min_le_left · apply le_min; apply le_trans; apply min_le_left; apply min_le_right; apply min_le_right · intro d h₁ h₂; apply le_min; apply le_min h₁; apply le_trans h₂; apply min_le_left apply le_trans h₂; apply min_le_right #align min_assoc min_assoc theorem min_left_comm : ∀ a b c : α, min a (min b c) = min b (min a c) := left_comm (@min α _) (@min_comm α _) (@min_assoc α _) #align min_left_comm min_left_comm @[simp] theorem min_self (a : α) : min a a = a := by simp [min_def] #align min_self min_self
Mathlib/Init/Order/LinearOrder.lean
100
101
theorem min_eq_left {a b : α} (h : a ≤ b) : min a b = a := by
apply Eq.symm; apply eq_min (le_refl _) h; intros; assumption
import Mathlib.Algebra.Group.Ext import Mathlib.CategoryTheory.Simple import Mathlib.CategoryTheory.Linear.Basic import Mathlib.CategoryTheory.Endomorphism import Mathlib.FieldTheory.IsAlgClosed.Spectrum #align_import category_theory.preadditive.schur from "leanprover-community/mathlib"@"58a272265b5e05f258161260dd2c5d247213cbd3" namespace CategoryTheory open CategoryTheory.Limits variable {C : Type*} [Category C] variable [Preadditive C] -- See also `epi_of_nonzero_to_simple`, which does not require `Preadditive C`. theorem mono_of_nonzero_from_simple [HasKernels C] {X Y : C} [Simple X] {f : X ⟶ Y} (w : f ≠ 0) : Mono f := Preadditive.mono_of_kernel_zero (kernel_zero_of_nonzero_from_simple w) #align category_theory.mono_of_nonzero_from_simple CategoryTheory.mono_of_nonzero_from_simple theorem isIso_of_hom_simple [HasKernels C] {X Y : C} [Simple X] [Simple Y] {f : X ⟶ Y} (w : f ≠ 0) : IsIso f := haveI := mono_of_nonzero_from_simple w isIso_of_mono_of_nonzero w #align category_theory.is_iso_of_hom_simple CategoryTheory.isIso_of_hom_simple theorem isIso_iff_nonzero [HasKernels C] {X Y : C} [Simple X] [Simple Y] (f : X ⟶ Y) : IsIso f ↔ f ≠ 0 := ⟨fun I => by intro h apply id_nonzero X simp only [← IsIso.hom_inv_id f, h, zero_comp], fun w => isIso_of_hom_simple w⟩ #align category_theory.is_iso_iff_nonzero CategoryTheory.isIso_iff_nonzero open scoped Classical in noncomputable instance [HasKernels C] {X : C} [Simple X] : DivisionRing (End X) where inv f := if h : f = 0 then 0 else haveI := isIso_of_hom_simple h; inv f exists_pair_ne := ⟨𝟙 X, 0, id_nonzero _⟩ inv_zero := dif_pos rfl mul_inv_cancel f hf := by dsimp rw [dif_neg hf] haveI := isIso_of_hom_simple hf exact IsIso.inv_hom_id f nnqsmul := _ qsmul := _ open FiniteDimensional section variable (𝕜 : Type*) [DivisionRing 𝕜] theorem finrank_hom_simple_simple_eq_zero_of_not_iso [HasKernels C] [Linear 𝕜 C] {X Y : C} [Simple X] [Simple Y] (h : (X ≅ Y) → False) : finrank 𝕜 (X ⟶ Y) = 0 := haveI := subsingleton_of_forall_eq (0 : X ⟶ Y) fun f => by have p := not_congr (isIso_iff_nonzero f) simp only [Classical.not_not, Ne] at p exact p.mp fun _ => h (asIso f) finrank_zero_of_subsingleton #align category_theory.finrank_hom_simple_simple_eq_zero_of_not_iso CategoryTheory.finrank_hom_simple_simple_eq_zero_of_not_iso end variable (𝕜 : Type*) [Field 𝕜] variable [IsAlgClosed 𝕜] [Linear 𝕜 C] -- Porting note: the defeq issue in lean3 described below is no longer a problem in Lean4. -- In the proof below we have some difficulty using `I : FiniteDimensional 𝕜 (X ⟶ X)` -- where we need a `FiniteDimensional 𝕜 (End X)`. -- These are definitionally equal, but without eta reduction Lean can't see this. -- To get around this, we use `convert I`, -- then check the various instances agree field-by-field, -- We prove this with the explicit `isIso_iff_nonzero` assumption, -- rather than just `[Simple X]`, as this form is useful for -- Müger's formulation of semisimplicity.
Mathlib/CategoryTheory/Preadditive/Schur.lean
114
125
theorem finrank_endomorphism_eq_one {X : C} (isIso_iff_nonzero : ∀ f : X ⟶ X, IsIso f ↔ f ≠ 0) [I : FiniteDimensional 𝕜 (X ⟶ X)] : finrank 𝕜 (X ⟶ X) = 1 := by
have id_nonzero := (isIso_iff_nonzero (𝟙 X)).mp (by infer_instance) refine finrank_eq_one (𝟙 X) id_nonzero ?_ intro f have : Nontrivial (End X) := nontrivial_of_ne _ _ id_nonzero have : FiniteDimensional 𝕜 (End X) := I obtain ⟨c, nu⟩ := spectrum.nonempty_of_isAlgClosed_of_finiteDimensional 𝕜 (End.of f) use c rw [spectrum.mem_iff, IsUnit.sub_iff, isUnit_iff_isIso, isIso_iff_nonzero, Ne, Classical.not_not, sub_eq_zero, Algebra.algebraMap_eq_smul_one] at nu exact nu.symm
import Mathlib.Order.Interval.Finset.Nat #align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" assert_not_exists MonoidWithZero open Finset Fin Function namespace Fin variable (n : ℕ) instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) := OrderIso.locallyFiniteOrder Fin.orderIsoSubtype instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) := OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n) | 0 => IsEmpty.toLocallyFiniteOrderTop | _ + 1 => inferInstance variable {n} (a b : Fin n) theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n := rfl #align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n := rfl #align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n := rfl #align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n := rfl #align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl #align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype @[simp] theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc @[simp] theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico @[simp] theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc @[simp] theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo @[simp] theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b := map_valEmbedding_Icc _ _ #align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := by rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map] #align fin.card_Icc Fin.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := by rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map] #align fin.card_Ico Fin.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := by rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map] #align fin.card_Ioc Fin.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := by rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map] #align fin.card_Ioo Fin.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map] #align fin.card_uIcc Fin.card_uIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [← card_Icc, Fintype.card_ofFinset] #align fin.card_fintype_Icc Fin.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by rw [← card_Ico, Fintype.card_ofFinset] #align fin.card_fintype_Ico Fin.card_fintypeIco -- Porting note (#10618): simp can prove this -- @[simp]
Mathlib/Order/Interval/Finset/Fin.lean
142
143
theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by
rw [← card_Ioc, Fintype.card_ofFinset]
import Mathlib.Algebra.Module.Defs import Mathlib.Data.Fintype.BigOperators import Mathlib.GroupTheory.GroupAction.BigOperators #align_import algebra.module.big_operators from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" variable {ι κ α β R M : Type*}
Mathlib/Algebra/Module/BigOperators.lean
50
51
theorem Finset.cast_card [CommSemiring R] (s : Finset α) : (s.card : R) = ∑ a ∈ s, 1 := by
rw [Finset.sum_const, Nat.smul_one_eq_cast]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Order.Antichain import Mathlib.Order.Interval.Finset.Nat #align_import data.finset.slice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" open Finset Nat variable {α : Type*} {ι : Sort*} {κ : ι → Sort*} namespace Set variable {A B : Set (Finset α)} {s : Finset α} {r : ℕ} def Sized (r : ℕ) (A : Set (Finset α)) : Prop := ∀ ⦃x⦄, x ∈ A → card x = r #align set.sized Set.Sized theorem Sized.mono (h : A ⊆ B) (hB : B.Sized r) : A.Sized r := fun _x hx => hB <| h hx #align set.sized.mono Set.Sized.mono @[simp] lemma sized_empty : (∅ : Set (Finset α)).Sized r := by simp [Sized] @[simp] lemma sized_singleton : ({s} : Set (Finset α)).Sized r ↔ s.card = r := by simp [Sized] theorem sized_union : (A ∪ B).Sized r ↔ A.Sized r ∧ B.Sized r := ⟨fun hA => ⟨hA.mono subset_union_left, hA.mono subset_union_right⟩, fun hA _x hx => hx.elim (fun h => hA.1 h) fun h => hA.2 h⟩ #align set.sized_union Set.sized_union alias ⟨_, sized.union⟩ := sized_union #align set.sized.union Set.sized.union --TODO: A `forall_iUnion` lemma would be handy here. @[simp]
Mathlib/Data/Finset/Slice.lean
64
66
theorem sized_iUnion {f : ι → Set (Finset α)} : (⋃ i, f i).Sized r ↔ ∀ i, (f i).Sized r := by
simp_rw [Set.Sized, Set.mem_iUnion, forall_exists_index] exact forall_swap
import Mathlib.CategoryTheory.FinCategory.Basic import Mathlib.CategoryTheory.Limits.Cones import Mathlib.CategoryTheory.Limits.Shapes.FiniteLimits import Mathlib.CategoryTheory.Adjunction.Basic import Mathlib.CategoryTheory.Category.Preorder import Mathlib.CategoryTheory.Category.ULift import Mathlib.CategoryTheory.PEmpty #align_import category_theory.filtered from "leanprover-community/mathlib"@"14e80e85cbca5872a329fbfd3d1f3fd64e306934" open Function -- declare the `v`'s first; see `CategoryTheory.Category` for an explanation universe w v v₁ u u₁ u₂ namespace CategoryTheory variable (C : Type u) [Category.{v} C] class IsFilteredOrEmpty : Prop where cocone_objs : ∀ X Y : C, ∃ (Z : _) (_ : X ⟶ Z) (_ : Y ⟶ Z), True cocone_maps : ∀ ⦃X Y : C⦄ (f g : X ⟶ Y), ∃ (Z : _) (h : Y ⟶ Z), f ≫ h = g ≫ h #align category_theory.is_filtered_or_empty CategoryTheory.IsFilteredOrEmpty class IsFiltered extends IsFilteredOrEmpty C : Prop where [nonempty : Nonempty C] #align category_theory.is_filtered CategoryTheory.IsFiltered instance (priority := 100) isFilteredOrEmpty_of_semilatticeSup (α : Type u) [SemilatticeSup α] : IsFilteredOrEmpty α where cocone_objs X Y := ⟨X ⊔ Y, homOfLE le_sup_left, homOfLE le_sup_right, trivial⟩ cocone_maps X Y f g := ⟨Y, 𝟙 _, by apply ULift.ext apply Subsingleton.elim⟩ #align category_theory.is_filtered_or_empty_of_semilattice_sup CategoryTheory.isFilteredOrEmpty_of_semilatticeSup instance (priority := 100) isFiltered_of_semilatticeSup_nonempty (α : Type u) [SemilatticeSup α] [Nonempty α] : IsFiltered α where #align category_theory.is_filtered_of_semilattice_sup_nonempty CategoryTheory.isFiltered_of_semilatticeSup_nonempty instance (priority := 100) isFilteredOrEmpty_of_directed_le (α : Type u) [Preorder α] [IsDirected α (· ≤ ·)] : IsFilteredOrEmpty α where cocone_objs X Y := let ⟨Z, h1, h2⟩ := exists_ge_ge X Y ⟨Z, homOfLE h1, homOfLE h2, trivial⟩ cocone_maps X Y f g := ⟨Y, 𝟙 _, by apply ULift.ext apply Subsingleton.elim⟩ #align category_theory.is_filtered_or_empty_of_directed_le CategoryTheory.isFilteredOrEmpty_of_directed_le instance (priority := 100) isFiltered_of_directed_le_nonempty (α : Type u) [Preorder α] [IsDirected α (· ≤ ·)] [Nonempty α] : IsFiltered α where #align category_theory.is_filtered_of_directed_le_nonempty CategoryTheory.isFiltered_of_directed_le_nonempty -- Sanity checks example (α : Type u) [SemilatticeSup α] [OrderBot α] : IsFiltered α := by infer_instance example (α : Type u) [SemilatticeSup α] [OrderTop α] : IsFiltered α := by infer_instance instance : IsFiltered (Discrete PUnit) where cocone_objs X Y := ⟨⟨PUnit.unit⟩, ⟨⟨by trivial⟩⟩, ⟨⟨Subsingleton.elim _ _⟩⟩, trivial⟩ cocone_maps X Y f g := ⟨⟨PUnit.unit⟩, ⟨⟨by trivial⟩⟩, by apply ULift.ext apply Subsingleton.elim⟩ namespace IsFiltered namespace IsFiltered section OfCocone open CategoryTheory.Limits
Mathlib/CategoryTheory/Filtered/Basic.lean
372
388
theorem of_cocone_nonempty (h : ∀ {J : Type w} [SmallCategory J] [FinCategory J] (F : J ⥤ C), Nonempty (Cocone F)) : IsFiltered C := by
have : Nonempty C := by obtain ⟨c⟩ := h (Functor.empty _) exact ⟨c.pt⟩ have : IsFilteredOrEmpty C := by refine ⟨?_, ?_⟩ · intros X Y obtain ⟨c⟩ := h (ULiftHom.down ⋙ ULift.downFunctor ⋙ pair X Y) exact ⟨c.pt, c.ι.app ⟨⟨WalkingPair.left⟩⟩, c.ι.app ⟨⟨WalkingPair.right⟩⟩, trivial⟩ · intros X Y f g obtain ⟨c⟩ := h (ULiftHom.down ⋙ ULift.downFunctor ⋙ parallelPair f g) refine ⟨c.pt, c.ι.app ⟨WalkingParallelPair.one⟩, ?_⟩ have h₁ := c.ι.naturality ⟨WalkingParallelPairHom.left⟩ have h₂ := c.ι.naturality ⟨WalkingParallelPairHom.right⟩ simp_all apply IsFiltered.mk
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp import Mathlib.MeasureTheory.Integral.Bochner import Mathlib.Order.Filter.IndicatorFunction import Mathlib.MeasureTheory.Function.StronglyMeasurable.Inner import Mathlib.MeasureTheory.Function.LpSeminorm.Trim #align_import measure_theory.function.conditional_expectation.ae_measurable from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e" set_option linter.uppercaseLean3 false open TopologicalSpace Filter open scoped ENNReal MeasureTheory namespace MeasureTheory def AEStronglyMeasurable' {α β} [TopologicalSpace β] (m : MeasurableSpace α) {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : Prop := ∃ g : α → β, StronglyMeasurable[m] g ∧ f =ᵐ[μ] g #align measure_theory.ae_strongly_measurable' MeasureTheory.AEStronglyMeasurable' namespace AEStronglyMeasurable' variable {α β 𝕜 : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} [TopologicalSpace β] {f g : α → β} theorem congr (hf : AEStronglyMeasurable' m f μ) (hfg : f =ᵐ[μ] g) : AEStronglyMeasurable' m g μ := by obtain ⟨f', hf'_meas, hff'⟩ := hf; exact ⟨f', hf'_meas, hfg.symm.trans hff'⟩ #align measure_theory.ae_strongly_measurable'.congr MeasureTheory.AEStronglyMeasurable'.congr theorem mono {m'} (hf : AEStronglyMeasurable' m f μ) (hm : m ≤ m') : AEStronglyMeasurable' m' f μ := let ⟨f', hf'_meas, hff'⟩ := hf; ⟨f', hf'_meas.mono hm, hff'⟩ theorem add [Add β] [ContinuousAdd β] (hf : AEStronglyMeasurable' m f μ) (hg : AEStronglyMeasurable' m g μ) : AEStronglyMeasurable' m (f + g) μ := by rcases hf with ⟨f', h_f'_meas, hff'⟩ rcases hg with ⟨g', h_g'_meas, hgg'⟩ exact ⟨f' + g', h_f'_meas.add h_g'_meas, hff'.add hgg'⟩ #align measure_theory.ae_strongly_measurable'.add MeasureTheory.AEStronglyMeasurable'.add theorem neg [AddGroup β] [TopologicalAddGroup β] {f : α → β} (hfm : AEStronglyMeasurable' m f μ) : AEStronglyMeasurable' m (-f) μ := by rcases hfm with ⟨f', hf'_meas, hf_ae⟩ refine ⟨-f', hf'_meas.neg, hf_ae.mono fun x hx => ?_⟩ simp_rw [Pi.neg_apply] rw [hx] #align measure_theory.ae_strongly_measurable'.neg MeasureTheory.AEStronglyMeasurable'.neg theorem sub [AddGroup β] [TopologicalAddGroup β] {f g : α → β} (hfm : AEStronglyMeasurable' m f μ) (hgm : AEStronglyMeasurable' m g μ) : AEStronglyMeasurable' m (f - g) μ := by rcases hfm with ⟨f', hf'_meas, hf_ae⟩ rcases hgm with ⟨g', hg'_meas, hg_ae⟩ refine ⟨f' - g', hf'_meas.sub hg'_meas, hf_ae.mp (hg_ae.mono fun x hx1 hx2 => ?_)⟩ simp_rw [Pi.sub_apply] rw [hx1, hx2] #align measure_theory.ae_strongly_measurable'.sub MeasureTheory.AEStronglyMeasurable'.sub
Mathlib/MeasureTheory/Function/ConditionalExpectation/AEMeasurable.lean
95
99
theorem const_smul [SMul 𝕜 β] [ContinuousConstSMul 𝕜 β] (c : 𝕜) (hf : AEStronglyMeasurable' m f μ) : AEStronglyMeasurable' m (c • f) μ := by
rcases hf with ⟨f', h_f'_meas, hff'⟩ refine ⟨c • f', h_f'_meas.const_smul c, ?_⟩ exact EventuallyEq.fun_comp hff' fun x => c • x
import Mathlib.Algebra.Order.Floor import Mathlib.Algebra.Order.Field.Power import Mathlib.Data.Nat.Log #align_import data.int.log from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" variable {R : Type*} [LinearOrderedSemifield R] [FloorSemiring R] namespace Int def log (b : ℕ) (r : R) : ℤ := if 1 ≤ r then Nat.log b ⌊r⌋₊ else -Nat.clog b ⌈r⁻¹⌉₊ #align int.log Int.log theorem log_of_one_le_right (b : ℕ) {r : R} (hr : 1 ≤ r) : log b r = Nat.log b ⌊r⌋₊ := if_pos hr #align int.log_of_one_le_right Int.log_of_one_le_right theorem log_of_right_le_one (b : ℕ) {r : R} (hr : r ≤ 1) : log b r = -Nat.clog b ⌈r⁻¹⌉₊ := by obtain rfl | hr := hr.eq_or_lt · rw [log, if_pos hr, inv_one, Nat.ceil_one, Nat.floor_one, Nat.log_one_right, Nat.clog_one_right, Int.ofNat_zero, neg_zero] · exact if_neg hr.not_le #align int.log_of_right_le_one Int.log_of_right_le_one @[simp, norm_cast] theorem log_natCast (b : ℕ) (n : ℕ) : log b (n : R) = Nat.log b n := by cases n · simp [log_of_right_le_one] · rw [log_of_one_le_right, Nat.floor_natCast] simp #align int.log_nat_cast Int.log_natCast -- See note [no_index around OfNat.ofNat] @[simp] theorem log_ofNat (b : ℕ) (n : ℕ) [n.AtLeastTwo] : log b (no_index (OfNat.ofNat n : R)) = Nat.log b (OfNat.ofNat n) := log_natCast b n theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (r : R) : log b r = 0 := by rcases le_total 1 r with h | h · rw [log_of_one_le_right _ h, Nat.log_of_left_le_one hb, Int.ofNat_zero] · rw [log_of_right_le_one _ h, Nat.clog_of_left_le_one hb, Int.ofNat_zero, neg_zero] #align int.log_of_left_le_one Int.log_of_left_le_one theorem log_of_right_le_zero (b : ℕ) {r : R} (hr : r ≤ 0) : log b r = 0 := by rw [log_of_right_le_one _ (hr.trans zero_le_one), Nat.clog_of_right_le_one ((Nat.ceil_eq_zero.mpr <| inv_nonpos.2 hr).trans_le zero_le_one), Int.ofNat_zero, neg_zero] #align int.log_of_right_le_zero Int.log_of_right_le_zero
Mathlib/Data/Int/Log.lean
99
105
theorem zpow_log_le_self {b : ℕ} {r : R} (hb : 1 < b) (hr : 0 < r) : (b : R) ^ log b r ≤ r := by
rcases le_total 1 r with hr1 | hr1 · rw [log_of_one_le_right _ hr1] rw [zpow_natCast, ← Nat.cast_pow, ← Nat.le_floor_iff hr.le] exact Nat.pow_log_le_self b (Nat.floor_pos.mpr hr1).ne' · rw [log_of_right_le_one _ hr1, zpow_neg, zpow_natCast, ← Nat.cast_pow] exact inv_le_of_inv_le hr (Nat.ceil_le.1 <| Nat.le_pow_clog hb _)
import Mathlib.Algebra.Polynomial.Degree.Definitions #align_import ring_theory.polynomial.opposites from "leanprover-community/mathlib"@"63417e01fbc711beaf25fa73b6edb395c0cfddd0" open Polynomial open Polynomial MulOpposite variable {R : Type*} [Semiring R] noncomputable section namespace Polynomial def opRingEquiv (R : Type*) [Semiring R] : R[X]ᵐᵒᵖ ≃+* Rᵐᵒᵖ[X] := ((toFinsuppIso R).op.trans AddMonoidAlgebra.opRingEquiv).trans (toFinsuppIso _).symm #align polynomial.op_ring_equiv Polynomial.opRingEquiv @[simp] theorem opRingEquiv_op_monomial (n : ℕ) (r : R) : opRingEquiv R (op (monomial n r : R[X])) = monomial n (op r) := by simp only [opRingEquiv, RingEquiv.coe_trans, Function.comp_apply, AddMonoidAlgebra.opRingEquiv_apply, RingEquiv.op_apply_apply, toFinsuppIso_apply, unop_op, toFinsupp_monomial, Finsupp.mapRange_single, toFinsuppIso_symm_apply, ofFinsupp_single] #align polynomial.op_ring_equiv_op_monomial Polynomial.opRingEquiv_op_monomial @[simp] theorem opRingEquiv_op_C (a : R) : opRingEquiv R (op (C a)) = C (op a) := opRingEquiv_op_monomial 0 a set_option linter.uppercaseLean3 false in #align polynomial.op_ring_equiv_op_C Polynomial.opRingEquiv_op_C @[simp] theorem opRingEquiv_op_X : opRingEquiv R (op (X : R[X])) = X := opRingEquiv_op_monomial 1 1 set_option linter.uppercaseLean3 false in #align polynomial.op_ring_equiv_op_X Polynomial.opRingEquiv_op_X theorem opRingEquiv_op_C_mul_X_pow (r : R) (n : ℕ) : opRingEquiv R (op (C r * X ^ n : R[X])) = C (op r) * X ^ n := by simp only [X_pow_mul, op_mul, op_pow, map_mul, map_pow, opRingEquiv_op_X, opRingEquiv_op_C] set_option linter.uppercaseLean3 false in #align polynomial.op_ring_equiv_op_C_mul_X_pow Polynomial.opRingEquiv_op_C_mul_X_pow @[simp] theorem opRingEquiv_symm_monomial (n : ℕ) (r : Rᵐᵒᵖ) : (opRingEquiv R).symm (monomial n r) = op (monomial n (unop r)) := (opRingEquiv R).injective (by simp) #align polynomial.op_ring_equiv_symm_monomial Polynomial.opRingEquiv_symm_monomial @[simp] theorem opRingEquiv_symm_C (a : Rᵐᵒᵖ) : (opRingEquiv R).symm (C a) = op (C (unop a)) := opRingEquiv_symm_monomial 0 a set_option linter.uppercaseLean3 false in #align polynomial.op_ring_equiv_symm_C Polynomial.opRingEquiv_symm_C @[simp] theorem opRingEquiv_symm_X : (opRingEquiv R).symm (X : Rᵐᵒᵖ[X]) = op X := opRingEquiv_symm_monomial 1 1 set_option linter.uppercaseLean3 false in #align polynomial.op_ring_equiv_symm_X Polynomial.opRingEquiv_symm_X theorem opRingEquiv_symm_C_mul_X_pow (r : Rᵐᵒᵖ) (n : ℕ) : (opRingEquiv R).symm (C r * X ^ n : Rᵐᵒᵖ[X]) = op (C (unop r) * X ^ n) := by rw [C_mul_X_pow_eq_monomial, opRingEquiv_symm_monomial, C_mul_X_pow_eq_monomial] set_option linter.uppercaseLean3 false in #align polynomial.op_ring_equiv_symm_C_mul_X_pow Polynomial.opRingEquiv_symm_C_mul_X_pow @[simp] theorem coeff_opRingEquiv (p : R[X]ᵐᵒᵖ) (n : ℕ) : (opRingEquiv R p).coeff n = op ((unop p).coeff n) := by induction' p using MulOpposite.rec' with p cases p rfl #align polynomial.coeff_op_ring_equiv Polynomial.coeff_opRingEquiv @[simp]
Mathlib/RingTheory/Polynomial/Opposites.lean
103
106
theorem support_opRingEquiv (p : R[X]ᵐᵒᵖ) : (opRingEquiv R p).support = (unop p).support := by
induction' p using MulOpposite.rec' with p cases p exact Finsupp.support_mapRange_of_injective (map_zero _) _ op_injective
import Batteries.Data.Sum.Basic import Batteries.Logic open Function namespace Sum @[simp] protected theorem «forall» {p : α ⊕ β → Prop} : (∀ x, p x) ↔ (∀ a, p (inl a)) ∧ ∀ b, p (inr b) := ⟨fun h => ⟨fun _ => h _, fun _ => h _⟩, fun ⟨h₁, h₂⟩ => Sum.rec h₁ h₂⟩ @[simp] protected theorem «exists» {p : α ⊕ β → Prop} : (∃ x, p x) ↔ (∃ a, p (inl a)) ∨ ∃ b, p (inr b) := ⟨ fun | ⟨inl a, h⟩ => Or.inl ⟨a, h⟩ | ⟨inr b, h⟩ => Or.inr ⟨b, h⟩, fun | Or.inl ⟨a, h⟩ => ⟨inl a, h⟩ | Or.inr ⟨b, h⟩ => ⟨inr b, h⟩⟩
.lake/packages/batteries/Batteries/Data/Sum/Lemmas.lean
33
38
theorem forall_sum {γ : α ⊕ β → Sort _} (p : (∀ ab, γ ab) → Prop) : (∀ fab, p fab) ↔ (∀ fa fb, p (Sum.rec fa fb)) := by
refine ⟨fun h fa fb => h _, fun h fab => ?_⟩ have h1 : fab = Sum.rec (fun a => fab (Sum.inl a)) (fun b => fab (Sum.inr b)) := by ext ab; cases ab <;> rfl rw [h1]; exact h _ _
import Mathlib.MeasureTheory.MeasurableSpace.Defs open Set Function open scoped MeasureTheory namespace MeasurableSpace variable {α : Type*} def invariants [m : MeasurableSpace α] (f : α → α) : MeasurableSpace α := { m ⊓ ⟨fun s ↦ f ⁻¹' s = s, by simp, by simp, fun f hf ↦ by simp [hf]⟩ with MeasurableSet' := fun s ↦ MeasurableSet[m] s ∧ f ⁻¹' s = s } variable [MeasurableSpace α] theorem measurableSet_invariants {f : α → α} {s : Set α} : MeasurableSet[invariants f] s ↔ MeasurableSet s ∧ f ⁻¹' s = s := .rfl @[simp] theorem invariants_id : invariants (id : α → α) = ‹MeasurableSpace α› := ext fun _ ↦ ⟨And.left, fun h ↦ ⟨h, rfl⟩⟩ theorem invariants_le (f : α → α) : invariants f ≤ ‹MeasurableSpace α› := fun _ ↦ And.left theorem inf_le_invariants_comp (f g : α → α) : invariants f ⊓ invariants g ≤ invariants (f ∘ g) := fun s hs ↦ ⟨hs.1.1, by rw [preimage_comp, hs.1.2, hs.2.2]⟩
Mathlib/MeasureTheory/MeasurableSpace/Invariants.lean
50
54
theorem le_invariants_iterate (f : α → α) (n : ℕ) : invariants f ≤ invariants (f^[n]) := by
induction n with | zero => simp [invariants_le] | succ n ihn => exact le_trans (le_inf ihn le_rfl) (inf_le_invariants_comp _ _)
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
81
84
theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by
rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h]
import Aesop import Mathlib.Algebra.Group.Defs import Mathlib.Data.Nat.Defs import Mathlib.Data.Int.Defs import Mathlib.Logic.Function.Basic import Mathlib.Tactic.Cases import Mathlib.Tactic.SimpRw import Mathlib.Tactic.SplitIfs #align_import algebra.group.basic from "leanprover-community/mathlib"@"a07d750983b94c530ab69a726862c2ab6802b38c" assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered open Function universe u variable {α β G M : Type*} @[to_additive] instance CommMagma.to_isCommutative [CommMagma G] : Std.Commutative (α := G) (· * ·) := ⟨mul_comm⟩ #align comm_semigroup.to_is_commutative CommMagma.to_isCommutative #align add_comm_semigroup.to_is_commutative AddCommMagma.to_isCommutative attribute [local simp] mul_assoc sub_eq_add_neg section DivInvOneMonoid variable [DivInvOneMonoid G] @[to_additive (attr := simp)]
Mathlib/Algebra/Group/Basic.lean
490
490
theorem div_one (a : G) : a / 1 = a := by
simp [div_eq_mul_inv]
import Mathlib.Data.Finsupp.Multiset import Mathlib.Data.Nat.GCD.BigOperators import Mathlib.Data.Nat.PrimeFin import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" -- Workaround for lean4#2038 attribute [-instance] instBEqNat open Nat Finset List Finsupp namespace Nat variable {a b m n p : ℕ} def factorization (n : ℕ) : ℕ →₀ ℕ where support := n.primeFactors toFun p := if p.Prime then padicValNat p n else 0 mem_support_toFun := by simp [not_or]; aesop #align nat.factorization Nat.factorization @[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
Mathlib/Data/Nat/Factorization/Basic.lean
60
61
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
import Mathlib.Algebra.Bounds import Mathlib.Algebra.Order.Field.Basic -- Porting note: `LinearOrderedField`, etc import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.order.pointwise from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Set open Pointwise variable {α : Type*} -- Porting note: Swapped the place of `CompleteLattice` and `ConditionallyCompleteLattice` -- due to simpNF problem between `sSup_xx` `csSup_xx`. section CompleteLattice variable [CompleteLattice α] section Group variable [Group α] [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (swap (· * ·)) (· ≤ ·)] (s t : Set α) @[to_additive] theorem sSup_inv (s : Set α) : sSup s⁻¹ = (sInf s)⁻¹ := by rw [← image_inv, sSup_image] exact ((OrderIso.inv α).map_sInf _).symm #align Sup_inv sSup_inv #align Sup_neg sSup_neg @[to_additive] theorem sInf_inv (s : Set α) : sInf s⁻¹ = (sSup s)⁻¹ := by rw [← image_inv, sInf_image] exact ((OrderIso.inv α).map_sSup _).symm #align Inf_inv sInf_inv #align Inf_neg sInf_neg @[to_additive] theorem sSup_mul : sSup (s * t) = sSup s * sSup t := (sSup_image2_eq_sSup_sSup fun _ => (OrderIso.mulRight _).to_galoisConnection) fun _ => (OrderIso.mulLeft _).to_galoisConnection #align Sup_mul sSup_mul #align Sup_add sSup_add @[to_additive] theorem sInf_mul : sInf (s * t) = sInf s * sInf t := (sInf_image2_eq_sInf_sInf fun _ => (OrderIso.mulRight _).symm.to_galoisConnection) fun _ => (OrderIso.mulLeft _).symm.to_galoisConnection #align Inf_mul sInf_mul #align Inf_add sInf_add @[to_additive] theorem sSup_div : sSup (s / t) = sSup s / sInf t := by simp_rw [div_eq_mul_inv, sSup_mul, sSup_inv] #align Sup_div sSup_div #align Sup_sub sSup_sub @[to_additive]
Mathlib/Algebra/Order/Pointwise.lean
94
94
theorem sInf_div : sInf (s / t) = sInf s / sSup t := by
simp_rw [div_eq_mul_inv, sInf_mul, sInf_inv]
import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Data.Int.Log #align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {b x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def logb (b x : ℝ) : ℝ := log x / log b #align real.logb Real.logb theorem log_div_log : log x / log b = logb b x := rfl #align real.log_div_log Real.log_div_log @[simp] theorem logb_zero : logb b 0 = 0 := by simp [logb] #align real.logb_zero Real.logb_zero @[simp] theorem logb_one : logb b 1 = 0 := by simp [logb] #align real.logb_one Real.logb_one @[simp] lemma logb_self_eq_one (hb : 1 < b) : logb b b = 1 := div_self (log_pos hb).ne' lemma logb_self_eq_one_iff : logb b b = 1 ↔ b ≠ 0 ∧ b ≠ 1 ∧ b ≠ -1 := Iff.trans ⟨fun h h' => by simp [logb, h'] at h, div_self⟩ log_ne_zero @[simp] theorem logb_abs (x : ℝ) : logb b |x| = logb b x := by rw [logb, logb, log_abs] #align real.logb_abs Real.logb_abs @[simp] theorem logb_neg_eq_logb (x : ℝ) : logb b (-x) = logb b x := by rw [← logb_abs x, ← logb_abs (-x), abs_neg] #align real.logb_neg_eq_logb Real.logb_neg_eq_logb theorem logb_mul (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x * y) = logb b x + logb b y := by simp_rw [logb, log_mul hx hy, add_div] #align real.logb_mul Real.logb_mul theorem logb_div (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x / y) = logb b x - logb b y := by simp_rw [logb, log_div hx hy, sub_div] #align real.logb_div Real.logb_div @[simp]
Mathlib/Analysis/SpecialFunctions/Log/Base.lean
81
81
theorem logb_inv (x : ℝ) : logb b x⁻¹ = -logb b x := by
simp [logb, neg_div]
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.NormedSpace.Banach import Mathlib.LinearAlgebra.SesquilinearForm #align_import analysis.inner_product_space.symmetric from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" open RCLike open ComplexConjugate variable {𝕜 E E' F G : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] variable [NormedAddCommGroup G] [InnerProductSpace 𝕜 G] variable [NormedAddCommGroup E'] [InnerProductSpace ℝ E'] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y namespace LinearMap def IsSymmetric (T : E →ₗ[𝕜] E) : Prop := ∀ x y, ⟪T x, y⟫ = ⟪x, T y⟫ #align linear_map.is_symmetric LinearMap.IsSymmetric theorem IsSymmetric.conj_inner_sym {T : E →ₗ[𝕜] E} (hT : IsSymmetric T) (x y : E) : conj ⟪T x, y⟫ = ⟪T y, x⟫ := by rw [hT x y, inner_conj_symm] #align linear_map.is_symmetric.conj_inner_sym LinearMap.IsSymmetric.conj_inner_sym @[simp] theorem IsSymmetric.apply_clm {T : E →L[𝕜] E} (hT : IsSymmetric (T : E →ₗ[𝕜] E)) (x y : E) : ⟪T x, y⟫ = ⟪x, T y⟫ := hT x y #align linear_map.is_symmetric.apply_clm LinearMap.IsSymmetric.apply_clm theorem isSymmetric_zero : (0 : E →ₗ[𝕜] E).IsSymmetric := fun x y => (inner_zero_right x : ⟪x, 0⟫ = 0).symm ▸ (inner_zero_left y : ⟪0, y⟫ = 0) #align linear_map.is_symmetric_zero LinearMap.isSymmetric_zero theorem isSymmetric_id : (LinearMap.id : E →ₗ[𝕜] E).IsSymmetric := fun _ _ => rfl #align linear_map.is_symmetric_id LinearMap.isSymmetric_id theorem IsSymmetric.add {T S : E →ₗ[𝕜] E} (hT : T.IsSymmetric) (hS : S.IsSymmetric) : (T + S).IsSymmetric := by intro x y rw [LinearMap.add_apply, inner_add_left, hT x y, hS x y, ← inner_add_right] rfl #align linear_map.is_symmetric.add LinearMap.IsSymmetric.add theorem IsSymmetric.continuous [CompleteSpace E] {T : E →ₗ[𝕜] E} (hT : IsSymmetric T) : Continuous T := by -- We prove it by using the closed graph theorem refine T.continuous_of_seq_closed_graph fun u x y hu hTu => ?_ rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜] have hlhs : ∀ k : ℕ, ⟪T (u k) - T x, y - T x⟫ = ⟪u k - x, T (y - T x)⟫ := by intro k rw [← T.map_sub, hT] refine tendsto_nhds_unique ((hTu.sub_const _).inner tendsto_const_nhds) ?_ simp_rw [Function.comp_apply, hlhs] rw [← inner_zero_left (T (y - T x))] refine Filter.Tendsto.inner ?_ tendsto_const_nhds rw [← sub_self x] exact hu.sub_const _ #align linear_map.is_symmetric.continuous LinearMap.IsSymmetric.continuous @[simp]
Mathlib/Analysis/InnerProductSpace/Symmetric.lean
115
120
theorem IsSymmetric.coe_reApplyInnerSelf_apply {T : E →L[𝕜] E} (hT : IsSymmetric (T : E →ₗ[𝕜] E)) (x : E) : (T.reApplyInnerSelf x : 𝕜) = ⟪T x, x⟫ := by
rsuffices ⟨r, hr⟩ : ∃ r : ℝ, ⟪T x, x⟫ = r · simp [hr, T.reApplyInnerSelf_apply] rw [← conj_eq_iff_real] exact hT.conj_inner_sym x x
import Mathlib.Order.Interval.Set.Monotone import Mathlib.Topology.MetricSpace.Basic import Mathlib.Topology.MetricSpace.Bounded import Mathlib.Topology.Order.MonotoneConvergence #align_import analysis.box_integral.box.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Function Metric Filter noncomputable section open scoped Classical open NNReal Topology namespace BoxIntegral variable {ι : Type*} structure Box (ι : Type*) where (lower upper : ι → ℝ) lower_lt_upper : ∀ i, lower i < upper i #align box_integral.box BoxIntegral.Box attribute [simp] Box.lower_lt_upper namespace Box variable (I J : Box ι) {x y : ι → ℝ} instance : Inhabited (Box ι) := ⟨⟨0, 1, fun _ ↦ zero_lt_one⟩⟩ theorem lower_le_upper : I.lower ≤ I.upper := fun i ↦ (I.lower_lt_upper i).le #align box_integral.box.lower_le_upper BoxIntegral.Box.lower_le_upper theorem lower_ne_upper (i) : I.lower i ≠ I.upper i := (I.lower_lt_upper i).ne #align box_integral.box.lower_ne_upper BoxIntegral.Box.lower_ne_upper instance : Membership (ι → ℝ) (Box ι) := ⟨fun x I ↦ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i)⟩ -- Porting note: added @[coe] def toSet (I : Box ι) : Set (ι → ℝ) := { x | x ∈ I } instance : CoeTC (Box ι) (Set <| ι → ℝ) := ⟨toSet⟩ @[simp] theorem mem_mk {l u x : ι → ℝ} {H} : x ∈ mk l u H ↔ ∀ i, x i ∈ Ioc (l i) (u i) := Iff.rfl #align box_integral.box.mem_mk BoxIntegral.Box.mem_mk @[simp, norm_cast] theorem mem_coe : x ∈ (I : Set (ι → ℝ)) ↔ x ∈ I := Iff.rfl #align box_integral.box.mem_coe BoxIntegral.Box.mem_coe theorem mem_def : x ∈ I ↔ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i) := Iff.rfl #align box_integral.box.mem_def BoxIntegral.Box.mem_def theorem mem_univ_Ioc {I : Box ι} : (x ∈ pi univ fun i ↦ Ioc (I.lower i) (I.upper i)) ↔ x ∈ I := mem_univ_pi #align box_integral.box.mem_univ_Ioc BoxIntegral.Box.mem_univ_Ioc theorem coe_eq_pi : (I : Set (ι → ℝ)) = pi univ fun i ↦ Ioc (I.lower i) (I.upper i) := Set.ext fun _ ↦ mem_univ_Ioc.symm #align box_integral.box.coe_eq_pi BoxIntegral.Box.coe_eq_pi @[simp] theorem upper_mem : I.upper ∈ I := fun i ↦ right_mem_Ioc.2 <| I.lower_lt_upper i #align box_integral.box.upper_mem BoxIntegral.Box.upper_mem theorem exists_mem : ∃ x, x ∈ I := ⟨_, I.upper_mem⟩ #align box_integral.box.exists_mem BoxIntegral.Box.exists_mem theorem nonempty_coe : Set.Nonempty (I : Set (ι → ℝ)) := I.exists_mem #align box_integral.box.nonempty_coe BoxIntegral.Box.nonempty_coe @[simp] theorem coe_ne_empty : (I : Set (ι → ℝ)) ≠ ∅ := I.nonempty_coe.ne_empty #align box_integral.box.coe_ne_empty BoxIntegral.Box.coe_ne_empty @[simp] theorem empty_ne_coe : ∅ ≠ (I : Set (ι → ℝ)) := I.coe_ne_empty.symm #align box_integral.box.empty_ne_coe BoxIntegral.Box.empty_ne_coe instance : LE (Box ι) := ⟨fun I J ↦ ∀ ⦃x⦄, x ∈ I → x ∈ J⟩ theorem le_def : I ≤ J ↔ ∀ x ∈ I, x ∈ J := Iff.rfl #align box_integral.box.le_def BoxIntegral.Box.le_def
Mathlib/Analysis/BoxIntegral/Box/Basic.lean
157
168
theorem le_TFAE : List.TFAE [I ≤ J, (I : Set (ι → ℝ)) ⊆ J, Icc I.lower I.upper ⊆ Icc J.lower J.upper, J.lower ≤ I.lower ∧ I.upper ≤ J.upper] := by
tfae_have 1 ↔ 2 · exact Iff.rfl tfae_have 2 → 3 · intro h simpa [coe_eq_pi, closure_pi_set, lower_ne_upper] using closure_mono h tfae_have 3 ↔ 4 · exact Icc_subset_Icc_iff I.lower_le_upper tfae_have 4 → 2 · exact fun h x hx i ↦ Ioc_subset_Ioc (h.1 i) (h.2 i) (hx i) tfae_finish
import Mathlib.Topology.Category.CompHaus.Basic import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Extensive import Mathlib.CategoryTheory.Limits.Preserves.Finite namespace CompHaus attribute [local instance] CategoryTheory.ConcreteCategory.instFunLike universe u w open CategoryTheory Limits section Pullbacks variable {X Y B : CompHaus.{u}} (f : X ⟶ B) (g : Y ⟶ B) def pullback : CompHaus.{u} := letI set := { xy : X × Y | f xy.fst = g xy.snd } haveI : CompactSpace set := isCompact_iff_compactSpace.mp (isClosed_eq (f.continuous.comp continuous_fst) (g.continuous.comp continuous_snd)).isCompact CompHaus.of set def pullback.fst : pullback f g ⟶ X where toFun := fun ⟨⟨x,_⟩,_⟩ => x continuous_toFun := Continuous.comp continuous_fst continuous_subtype_val def pullback.snd : pullback f g ⟶ Y where toFun := fun ⟨⟨_,y⟩,_⟩ => y continuous_toFun := Continuous.comp continuous_snd continuous_subtype_val @[reassoc] lemma pullback.condition : pullback.fst f g ≫ f = pullback.snd f g ≫ g := by ext ⟨_,h⟩; exact h def pullback.lift {Z : CompHaus.{u}} (a : Z ⟶ X) (b : Z ⟶ Y) (w : a ≫ f = b ≫ g) : Z ⟶ pullback f g where toFun := fun z => ⟨⟨a z, b z⟩, by apply_fun (fun q => q z) at w; exact w⟩ continuous_toFun := by apply Continuous.subtype_mk rw [continuous_prod_mk] exact ⟨a.continuous, b.continuous⟩ @[reassoc (attr := simp)] lemma pullback.lift_fst {Z : CompHaus.{u}} (a : Z ⟶ X) (b : Z ⟶ Y) (w : a ≫ f = b ≫ g) : pullback.lift f g a b w ≫ pullback.fst f g = a := rfl @[reassoc (attr := simp)] lemma pullback.lift_snd {Z : CompHaus.{u}} (a : Z ⟶ X) (b : Z ⟶ Y) (w : a ≫ f = b ≫ g) : pullback.lift f g a b w ≫ pullback.snd f g = b := rfl lemma pullback.hom_ext {Z : CompHaus.{u}} (a b : Z ⟶ pullback f g) (hfst : a ≫ pullback.fst f g = b ≫ pullback.fst f g) (hsnd : a ≫ pullback.snd f g = b ≫ pullback.snd f g) : a = b := by ext z apply_fun (fun q => q z) at hfst hsnd apply Subtype.ext apply Prod.ext · exact hfst · exact hsnd @[simps! pt π] def pullback.cone : Limits.PullbackCone f g := Limits.PullbackCone.mk (pullback.fst f g) (pullback.snd f g) (pullback.condition f g) @[simps! lift] def pullback.isLimit : Limits.IsLimit (pullback.cone f g) := Limits.PullbackCone.isLimitAux _ (fun s => pullback.lift f g s.fst s.snd s.condition) (fun _ => pullback.lift_fst _ _ _ _ _) (fun _ => pullback.lift_snd _ _ _ _ _) (fun _ _ hm => pullback.hom_ext _ _ _ _ (hm .left) (hm .right)) section Isos noncomputable def pullbackIsoPullback : CompHaus.pullback f g ≅ Limits.pullback f g := Limits.IsLimit.conePointUniqueUpToIso (pullback.isLimit f g) (Limits.limit.isLimit _) noncomputable def pullbackHomeoPullback : (CompHaus.pullback f g).toTop ≃ₜ (Limits.pullback f g).toTop := CompHaus.homeoOfIso (pullbackIsoPullback f g)
Mathlib/Topology/Category/CompHaus/Limits.lean
131
134
theorem pullback_fst_eq : CompHaus.pullback.fst f g = (pullbackIsoPullback f g).hom ≫ Limits.pullback.fst := by
dsimp [pullbackIsoPullback] simp only [Limits.limit.conePointUniqueUpToIso_hom_comp, pullback.cone_pt, pullback.cone_π]
import Mathlib.Algebra.BigOperators.Module import Mathlib.Algebra.Order.Field.Basic import Mathlib.Order.Filter.ModEq import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Data.List.TFAE import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Set Function Filter Finset Metric Asymptotics open scoped Classical open Topology Nat uniformity NNReal ENNReal variable {α : Type*} {β : Type*} {ι : Type*} theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop := tendsto_abs_atTop_atTop #align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} : (∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f | ⟨r, hr⟩ => by refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩ · exact fun i ↦ norm_nonneg _ · simpa only using hr #align summable_of_absolute_convergence_real summable_of_absolute_convergence_real theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] : Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) := tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx #align tendsto_norm_zero' tendsto_norm_zero' namespace NormedField theorem tendsto_norm_inverse_nhdsWithin_0_atTop {𝕜 : Type*} [NormedDivisionRing 𝕜] : Tendsto (fun x : 𝕜 ↦ ‖x⁻¹‖) (𝓝[≠] 0) atTop := (tendsto_inv_zero_atTop.comp tendsto_norm_zero').congr fun x ↦ (norm_inv x).symm #align normed_field.tendsto_norm_inverse_nhds_within_0_at_top NormedField.tendsto_norm_inverse_nhdsWithin_0_atTop theorem tendsto_norm_zpow_nhdsWithin_0_atTop {𝕜 : Type*} [NormedDivisionRing 𝕜] {m : ℤ} (hm : m < 0) : Tendsto (fun x : 𝕜 ↦ ‖x ^ m‖) (𝓝[≠] 0) atTop := by rcases neg_surjective m with ⟨m, rfl⟩ rw [neg_lt_zero] at hm; lift m to ℕ using hm.le; rw [Int.natCast_pos] at hm simp only [norm_pow, zpow_neg, zpow_natCast, ← inv_pow] exact (tendsto_pow_atTop hm.ne').comp NormedField.tendsto_norm_inverse_nhdsWithin_0_atTop #align normed_field.tendsto_norm_zpow_nhds_within_0_at_top NormedField.tendsto_norm_zpow_nhdsWithin_0_atTop
Mathlib/Analysis/SpecificLimits/Normed.lean
72
77
theorem tendsto_zero_smul_of_tendsto_zero_of_bounded {ι 𝕜 𝔸 : Type*} [NormedDivisionRing 𝕜] [NormedAddCommGroup 𝔸] [Module 𝕜 𝔸] [BoundedSMul 𝕜 𝔸] {l : Filter ι} {ε : ι → 𝕜} {f : ι → 𝔸} (hε : Tendsto ε l (𝓝 0)) (hf : Filter.IsBoundedUnder (· ≤ ·) l (norm ∘ f)) : Tendsto (ε • f) l (𝓝 0) := by
rw [← isLittleO_one_iff 𝕜] at hε ⊢ simpa using IsLittleO.smul_isBigO hε (hf.isBigO_const (one_ne_zero : (1 : 𝕜) ≠ 0))
import Mathlib.Data.Finsupp.Multiset import Mathlib.Order.Bounded import Mathlib.SetTheory.Cardinal.PartENat import Mathlib.SetTheory.Ordinal.Principal import Mathlib.Tactic.Linarith #align_import set_theory.cardinal.ordinal from "leanprover-community/mathlib"@"7c2ce0c2da15516b4e65d0c9e254bb6dc93abd1f" noncomputable section open Function Set Cardinal Equiv Order Ordinal open scoped Classical universe u v w namespace Cardinal section UsingOrdinals theorem ord_isLimit {c} (co : ℵ₀ ≤ c) : (ord c).IsLimit := by refine ⟨fun h => aleph0_ne_zero ?_, fun a => lt_imp_lt_of_le_imp_le fun h => ?_⟩ · rw [← Ordinal.le_zero, ord_le] at h simpa only [card_zero, nonpos_iff_eq_zero] using co.trans h · rw [ord_le] at h ⊢ rwa [← @add_one_of_aleph0_le (card a), ← card_succ] rw [← ord_le, ← le_succ_of_isLimit, ord_le] · exact co.trans h · rw [ord_aleph0] exact omega_isLimit #align cardinal.ord_is_limit Cardinal.ord_isLimit theorem noMaxOrder {c} (h : ℵ₀ ≤ c) : NoMaxOrder c.ord.out.α := Ordinal.out_no_max_of_succ_lt (ord_isLimit h).2 section aleph def alephIdx.initialSeg : @InitialSeg Cardinal Ordinal (· < ·) (· < ·) := @RelEmbedding.collapse Cardinal Ordinal (· < ·) (· < ·) _ Cardinal.ord.orderEmbedding.ltEmbedding #align cardinal.aleph_idx.initial_seg Cardinal.alephIdx.initialSeg def alephIdx : Cardinal → Ordinal := alephIdx.initialSeg #align cardinal.aleph_idx Cardinal.alephIdx @[simp] theorem alephIdx.initialSeg_coe : (alephIdx.initialSeg : Cardinal → Ordinal) = alephIdx := rfl #align cardinal.aleph_idx.initial_seg_coe Cardinal.alephIdx.initialSeg_coe @[simp] theorem alephIdx_lt {a b} : alephIdx a < alephIdx b ↔ a < b := alephIdx.initialSeg.toRelEmbedding.map_rel_iff #align cardinal.aleph_idx_lt Cardinal.alephIdx_lt @[simp] theorem alephIdx_le {a b} : alephIdx a ≤ alephIdx b ↔ a ≤ b := by rw [← not_lt, ← not_lt, alephIdx_lt] #align cardinal.aleph_idx_le Cardinal.alephIdx_le theorem alephIdx.init {a b} : b < alephIdx a → ∃ c, alephIdx c = b := alephIdx.initialSeg.init #align cardinal.aleph_idx.init Cardinal.alephIdx.init def alephIdx.relIso : @RelIso Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) := @RelIso.ofSurjective Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) alephIdx.initialSeg.{u} <| (InitialSeg.eq_or_principal alephIdx.initialSeg.{u}).resolve_right fun ⟨o, e⟩ => by have : ∀ c, alephIdx c < o := fun c => (e _).2 ⟨_, rfl⟩ refine Ordinal.inductionOn o ?_ this; intro α r _ h let s := ⨆ a, invFun alephIdx (Ordinal.typein r a) apply (lt_succ s).not_le have I : Injective.{u+2, u+2} alephIdx := alephIdx.initialSeg.toEmbedding.injective simpa only [typein_enum, leftInverse_invFun I (succ s)] using le_ciSup (Cardinal.bddAbove_range.{u, u} fun a : α => invFun alephIdx (Ordinal.typein r a)) (Ordinal.enum r _ (h (succ s))) #align cardinal.aleph_idx.rel_iso Cardinal.alephIdx.relIso @[simp] theorem alephIdx.relIso_coe : (alephIdx.relIso : Cardinal → Ordinal) = alephIdx := rfl #align cardinal.aleph_idx.rel_iso_coe Cardinal.alephIdx.relIso_coe @[simp]
Mathlib/SetTheory/Cardinal/Ordinal.lean
146
147
theorem type_cardinal : @type Cardinal (· < ·) _ = Ordinal.univ.{u, u + 1} := by
rw [Ordinal.univ_id]; exact Quotient.sound ⟨alephIdx.relIso⟩
import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Adjunction.Limits import Mathlib.CategoryTheory.Limits.Shapes.CommSq import Mathlib.CategoryTheory.Limits.Shapes.StrictInitial import Mathlib.CategoryTheory.Limits.FunctorCategory import Mathlib.CategoryTheory.Limits.Constructions.FiniteProductsOfBinaryProducts #align_import category_theory.extensive from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" open CategoryTheory.Limits namespace CategoryTheory universe v' u' v u variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C] variable {K : Type*} [Category K] {D : Type*} [Category D] section NatTrans def NatTrans.Equifibered {F G : J ⥤ C} (α : F ⟶ G) : Prop := ∀ ⦃i j : J⦄ (f : i ⟶ j), IsPullback (F.map f) (α.app i) (α.app j) (G.map f) #align category_theory.nat_trans.equifibered CategoryTheory.NatTrans.Equifibered theorem NatTrans.equifibered_of_isIso {F G : J ⥤ C} (α : F ⟶ G) [IsIso α] : Equifibered α := fun _ _ f => IsPullback.of_vert_isIso ⟨NatTrans.naturality _ f⟩ #align category_theory.nat_trans.equifibered_of_is_iso CategoryTheory.NatTrans.equifibered_of_isIso theorem NatTrans.Equifibered.comp {F G H : J ⥤ C} {α : F ⟶ G} {β : G ⟶ H} (hα : Equifibered α) (hβ : Equifibered β) : Equifibered (α ≫ β) := fun _ _ f => (hα f).paste_vert (hβ f) #align category_theory.nat_trans.equifibered.comp CategoryTheory.NatTrans.Equifibered.comp theorem NatTrans.Equifibered.whiskerRight {F G : J ⥤ C} {α : F ⟶ G} (hα : Equifibered α) (H : C ⥤ D) [∀ (i j : J) (f : j ⟶ i), PreservesLimit (cospan (α.app i) (G.map f)) H] : Equifibered (whiskerRight α H) := fun _ _ f => (hα f).map H #align category_theory.nat_trans.equifibered.whisker_right CategoryTheory.NatTrans.Equifibered.whiskerRight theorem NatTrans.Equifibered.whiskerLeft {K : Type*} [Category K] {F G : J ⥤ C} {α : F ⟶ G} (hα : Equifibered α) (H : K ⥤ J) : Equifibered (whiskerLeft H α) := fun _ _ f => hα (H.map f) theorem mapPair_equifibered {F F' : Discrete WalkingPair ⥤ C} (α : F ⟶ F') : NatTrans.Equifibered α := by rintro ⟨⟨⟩⟩ ⟨j⟩ ⟨⟨rfl : _ = j⟩⟩ all_goals dsimp; simp only [Discrete.functor_map_id] exact IsPullback.of_horiz_isIso ⟨by simp only [Category.comp_id, Category.id_comp]⟩ #align category_theory.map_pair_equifibered CategoryTheory.mapPair_equifibered
Mathlib/CategoryTheory/Limits/VanKampen.lean
83
87
theorem NatTrans.equifibered_of_discrete {ι : Type*} {F G : Discrete ι ⥤ C} (α : F ⟶ G) : NatTrans.Equifibered α := by
rintro ⟨i⟩ ⟨j⟩ ⟨⟨rfl : i = j⟩⟩ simp only [Discrete.functor_map_id] exact IsPullback.of_horiz_isIso ⟨by rw [Category.id_comp, Category.comp_id]⟩
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax import Mathlib.Algebra.Order.Monoid.WithTop import Mathlib.Data.Finset.Image import Mathlib.Data.Multiset.Fold #align_import data.finset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" -- TODO: -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero namespace Finset open Multiset variable {α β γ : Type*} section Fold variable (op : β → β → β) [hc : Std.Commutative op] [ha : Std.Associative op] local notation a " * " b => op a b def fold (b : β) (f : α → β) (s : Finset α) : β := (s.1.map f).fold op b #align finset.fold Finset.fold variable {op} {f : α → β} {b : β} {s : Finset α} {a : α} @[simp] theorem fold_empty : (∅ : Finset α).fold op b f = b := rfl #align finset.fold_empty Finset.fold_empty @[simp] theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f := by dsimp only [fold] rw [cons_val, Multiset.map_cons, fold_cons_left] #align finset.fold_cons Finset.fold_cons @[simp]
Mathlib/Data/Finset/Fold.lean
56
59
theorem fold_insert [DecidableEq α] (h : a ∉ s) : (insert a s).fold op b f = f a * s.fold op b f := by
unfold fold rw [insert_val, ndinsert_of_not_mem h, Multiset.map_cons, fold_cons_left]
import Mathlib.RingTheory.Localization.FractionRing import Mathlib.Algebra.Polynomial.RingDivision #align_import field_theory.ratfunc from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6" noncomputable section open scoped Classical open scoped nonZeroDivisors Polynomial universe u v variable (K : Type u) structure RatFunc [CommRing K] : Type u where ofFractionRing :: toFractionRing : FractionRing K[X] #align ratfunc RatFunc #align ratfunc.of_fraction_ring RatFunc.ofFractionRing #align ratfunc.to_fraction_ring RatFunc.toFractionRing namespace RatFunc section CommRing variable {K} variable [CommRing K] section Rec theorem ofFractionRing_injective : Function.Injective (ofFractionRing : _ → RatFunc K) := fun _ _ => ofFractionRing.inj #align ratfunc.of_fraction_ring_injective RatFunc.ofFractionRing_injective theorem toFractionRing_injective : Function.Injective (toFractionRing : _ → FractionRing K[X]) -- Porting note: the `xy` input was `rfl` and then there was no need for the `subst` | ⟨x⟩, ⟨y⟩, xy => by subst xy; rfl #align ratfunc.to_fraction_ring_injective RatFunc.toFractionRing_injective protected irreducible_def liftOn {P : Sort v} (x : RatFunc K) (f : K[X] → K[X] → P) (H : ∀ {p q p' q'} (_hq : q ∈ K[X]⁰) (_hq' : q' ∈ K[X]⁰), q' * p = q * p' → f p q = f p' q') : P := by refine Localization.liftOn (toFractionRing x) (fun p q => f p q) ?_ intros p p' q q' h exact H q.2 q'.2 (let ⟨⟨c, hc⟩, mul_eq⟩ := Localization.r_iff_exists.mp h mul_cancel_left_coe_nonZeroDivisors.mp mul_eq) -- Porting note: the definition above was as follows -- (-- Fix timeout by manipulating elaboration order -- fun p q => f p q) -- fun p p' q q' h => by -- exact H q.2 q'.2 -- (let ⟨⟨c, hc⟩, mul_eq⟩ := Localization.r_iff_exists.mp h -- mul_cancel_left_coe_nonZeroDivisors.mp mul_eq) #align ratfunc.lift_on RatFunc.liftOn theorem liftOn_ofFractionRing_mk {P : Sort v} (n : K[X]) (d : K[X]⁰) (f : K[X] → K[X] → P) (H : ∀ {p q p' q'} (_hq : q ∈ K[X]⁰) (_hq' : q' ∈ K[X]⁰), q' * p = q * p' → f p q = f p' q') : RatFunc.liftOn (ofFractionRing (Localization.mk n d)) f @H = f n d := by rw [RatFunc.liftOn] exact Localization.liftOn_mk _ _ _ _ #align ratfunc.lift_on_of_fraction_ring_mk RatFunc.liftOn_ofFractionRing_mk
Mathlib/FieldTheory/RatFunc/Defs.lean
130
136
theorem liftOn_condition_of_liftOn'_condition {P : Sort v} {f : K[X] → K[X] → P} (H : ∀ {p q a} (hq : q ≠ 0) (_ha : a ≠ 0), f (a * p) (a * q) = f p q) ⦃p q p' q' : K[X]⦄ (hq : q ≠ 0) (hq' : q' ≠ 0) (h : q' * p = q * p') : f p q = f p' q' := calc f p q = f (q' * p) (q' * q) := (H hq hq').symm _ = f (q * p') (q * q') := by
rw [h, mul_comm q'] _ = f p' q' := H hq' hq
import Mathlib.Data.Vector.Basic set_option autoImplicit true namespace Vector def snoc : Vector α n → α → Vector α (n+1) := fun xs x => append xs (x ::ᵥ Vector.nil) section Simp variable (xs : Vector α n) @[simp] theorem snoc_cons : (x ::ᵥ xs).snoc y = x ::ᵥ (xs.snoc y) := rfl @[simp] theorem snoc_nil : (nil.snoc x) = x ::ᵥ nil := rfl @[simp] theorem reverse_cons : reverse (x ::ᵥ xs) = (reverse xs).snoc x := by cases xs simp only [reverse, cons, toList_mk, List.reverse_cons, snoc] congr @[simp]
Mathlib/Data/Vector/Snoc.lean
48
52
theorem reverse_snoc : reverse (xs.snoc x) = x ::ᵥ (reverse xs) := by
cases xs simp only [reverse, snoc, cons, toList_mk] congr simp [toList, Vector.append, Append.append]
import Mathlib.MeasureTheory.OuterMeasure.OfFunction import Mathlib.MeasureTheory.PiSystem #align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set Function Filter open scoped Classical NNReal Topology ENNReal namespace MeasureTheory namespace OuterMeasure section CaratheodoryMeasurable universe u variable {α : Type u} (m : OuterMeasure α) attribute [local simp] Set.inter_comm Set.inter_left_comm Set.inter_assoc variable {s s₁ s₂ : Set α} def IsCaratheodory (s : Set α) : Prop := ∀ t, m t = m (t ∩ s) + m (t \ s) #align measure_theory.outer_measure.is_caratheodory MeasureTheory.OuterMeasure.IsCaratheodory theorem isCaratheodory_iff_le' {s : Set α} : IsCaratheodory m s ↔ ∀ t, m (t ∩ s) + m (t \ s) ≤ m t := forall_congr' fun _ => le_antisymm_iff.trans <| and_iff_right <| measure_le_inter_add_diff _ _ _ #align measure_theory.outer_measure.is_caratheodory_iff_le' MeasureTheory.OuterMeasure.isCaratheodory_iff_le' @[simp] theorem isCaratheodory_empty : IsCaratheodory m ∅ := by simp [IsCaratheodory, m.empty, diff_empty] #align measure_theory.outer_measure.is_caratheodory_empty MeasureTheory.OuterMeasure.isCaratheodory_empty
Mathlib/MeasureTheory/OuterMeasure/Caratheodory.lean
65
66
theorem isCaratheodory_compl : IsCaratheodory m s₁ → IsCaratheodory m s₁ᶜ := by
simp [IsCaratheodory, diff_eq, add_comm]
import Mathlib.Data.Int.Order.Units import Mathlib.Data.ZMod.IntUnitsPower import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.LinearAlgebra.DirectSum.TensorProduct import Mathlib.Algebra.DirectSum.Algebra suppress_compilation open scoped TensorProduct DirectSum variable {R ι A B : Type*} namespace TensorProduct variable [CommSemiring ι] [Module ι (Additive ℤˣ)] [DecidableEq ι] variable (𝒜 : ι → Type*) (ℬ : ι → Type*) variable [CommRing R] variable [∀ i, AddCommGroup (𝒜 i)] [∀ i, AddCommGroup (ℬ i)] variable [∀ i, Module R (𝒜 i)] [∀ i, Module R (ℬ i)] variable [DirectSum.GRing 𝒜] [DirectSum.GRing ℬ] variable [DirectSum.GAlgebra R 𝒜] [DirectSum.GAlgebra R ℬ] -- this helps with performance instance (i : ι × ι) : Module R (𝒜 (Prod.fst i) ⊗[R] ℬ (Prod.snd i)) := TensorProduct.leftModule open DirectSum (lof) variable (R) section gradedComm local notation "𝒜ℬ" => (fun i : ι × ι => 𝒜 (Prod.fst i) ⊗[R] ℬ (Prod.snd i)) local notation "ℬ𝒜" => (fun i : ι × ι => ℬ (Prod.fst i) ⊗[R] 𝒜 (Prod.snd i)) def gradedCommAux : DirectSum _ 𝒜ℬ →ₗ[R] DirectSum _ ℬ𝒜 := by refine DirectSum.toModule R _ _ fun i => ?_ have o := DirectSum.lof R _ ℬ𝒜 i.swap have s : ℤˣ := ((-1 : ℤˣ)^(i.1* i.2 : ι) : ℤˣ) exact (s • o) ∘ₗ (TensorProduct.comm R _ _).toLinearMap @[simp] theorem gradedCommAux_lof_tmul (i j : ι) (a : 𝒜 i) (b : ℬ j) : gradedCommAux R 𝒜 ℬ (lof R _ 𝒜ℬ (i, j) (a ⊗ₜ b)) = (-1 : ℤˣ)^(j * i) • lof R _ ℬ𝒜 (j, i) (b ⊗ₜ a) := by rw [gradedCommAux] dsimp simp [mul_comm i j] @[simp] theorem gradedCommAux_comp_gradedCommAux : gradedCommAux R 𝒜 ℬ ∘ₗ gradedCommAux R ℬ 𝒜 = LinearMap.id := by ext i a b dsimp rw [gradedCommAux_lof_tmul, LinearMap.map_smul_of_tower, gradedCommAux_lof_tmul, smul_smul, mul_comm i.2 i.1, Int.units_mul_self, one_smul] def gradedComm : (⨁ i, 𝒜 i) ⊗[R] (⨁ i, ℬ i) ≃ₗ[R] (⨁ i, ℬ i) ⊗[R] (⨁ i, 𝒜 i) := by refine TensorProduct.directSum R R 𝒜 ℬ ≪≫ₗ ?_ ≪≫ₗ (TensorProduct.directSum R R ℬ 𝒜).symm exact LinearEquiv.ofLinear (gradedCommAux _ _ _) (gradedCommAux _ _ _) (gradedCommAux_comp_gradedCommAux _ _ _) (gradedCommAux_comp_gradedCommAux _ _ _) @[simp] theorem gradedComm_symm : (gradedComm R 𝒜 ℬ).symm = gradedComm R ℬ 𝒜 := by rw [gradedComm, gradedComm, LinearEquiv.trans_symm, LinearEquiv.symm_symm] ext rfl theorem gradedComm_of_tmul_of (i j : ι) (a : 𝒜 i) (b : ℬ j) : gradedComm R 𝒜 ℬ (lof R _ 𝒜 i a ⊗ₜ lof R _ ℬ j b) = (-1 : ℤˣ)^(j * i) • (lof R _ ℬ _ b ⊗ₜ lof R _ 𝒜 _ a) := by rw [gradedComm] dsimp only [LinearEquiv.trans_apply, LinearEquiv.ofLinear_apply] rw [TensorProduct.directSum_lof_tmul_lof, gradedCommAux_lof_tmul, Units.smul_def, -- Note: #8386 specialized `map_smul` to `LinearEquiv.map_smul` to avoid timeouts. zsmul_eq_smul_cast R, LinearEquiv.map_smul, TensorProduct.directSum_symm_lof_tmul, ← zsmul_eq_smul_cast, ← Units.smul_def]
Mathlib/LinearAlgebra/TensorProduct/Graded/External.lean
126
135
theorem gradedComm_tmul_of_zero (a : ⨁ i, 𝒜 i) (b : ℬ 0) : gradedComm R 𝒜 ℬ (a ⊗ₜ lof R _ ℬ 0 b) = lof R _ ℬ _ b ⊗ₜ a := by
suffices (gradedComm R 𝒜 ℬ).toLinearMap ∘ₗ (TensorProduct.mk R (⨁ i, 𝒜 i) (⨁ i, ℬ i)).flip (lof R _ ℬ 0 b) = TensorProduct.mk R _ _ (lof R _ ℬ 0 b) from DFunLike.congr_fun this a ext i a dsimp rw [gradedComm_of_tmul_of, zero_mul, uzpow_zero, one_smul]
import Mathlib.Algebra.Bounds import Mathlib.Algebra.Order.Field.Basic -- Porting note: `LinearOrderedField`, etc import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.order.pointwise from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Set open Pointwise variable {α : Type*} -- Porting note: Swapped the place of `CompleteLattice` and `ConditionallyCompleteLattice` -- due to simpNF problem between `sSup_xx` `csSup_xx`. section CompleteLattice variable [CompleteLattice α] namespace LinearOrderedField variable {K : Type*} [LinearOrderedField K] {a b r : K} (hr : 0 < r) open Set theorem smul_Ioo : r • Ioo a b = Ioo (r • a) (r • b) := by ext x simp only [mem_smul_set, smul_eq_mul, mem_Ioo] constructor · rintro ⟨a, ⟨a_h_left_left, a_h_left_right⟩, rfl⟩ constructor · exact (mul_lt_mul_left hr).mpr a_h_left_left · exact (mul_lt_mul_left hr).mpr a_h_left_right · rintro ⟨a_left, a_right⟩ use x / r refine ⟨⟨(lt_div_iff' hr).mpr a_left, (div_lt_iff' hr).mpr a_right⟩, ?_⟩ rw [mul_div_cancel₀ _ (ne_of_gt hr)] #align linear_ordered_field.smul_Ioo LinearOrderedField.smul_Ioo theorem smul_Icc : r • Icc a b = Icc (r • a) (r • b) := by ext x simp only [mem_smul_set, smul_eq_mul, mem_Icc] constructor · rintro ⟨a, ⟨a_h_left_left, a_h_left_right⟩, rfl⟩ constructor · exact (mul_le_mul_left hr).mpr a_h_left_left · exact (mul_le_mul_left hr).mpr a_h_left_right · rintro ⟨a_left, a_right⟩ use x / r refine ⟨⟨(le_div_iff' hr).mpr a_left, (div_le_iff' hr).mpr a_right⟩, ?_⟩ rw [mul_div_cancel₀ _ (ne_of_gt hr)] #align linear_ordered_field.smul_Icc LinearOrderedField.smul_Icc theorem smul_Ico : r • Ico a b = Ico (r • a) (r • b) := by ext x simp only [mem_smul_set, smul_eq_mul, mem_Ico] constructor · rintro ⟨a, ⟨a_h_left_left, a_h_left_right⟩, rfl⟩ constructor · exact (mul_le_mul_left hr).mpr a_h_left_left · exact (mul_lt_mul_left hr).mpr a_h_left_right · rintro ⟨a_left, a_right⟩ use x / r refine ⟨⟨(le_div_iff' hr).mpr a_left, (div_lt_iff' hr).mpr a_right⟩, ?_⟩ rw [mul_div_cancel₀ _ (ne_of_gt hr)] #align linear_ordered_field.smul_Ico LinearOrderedField.smul_Ico
Mathlib/Algebra/Order/Pointwise.lean
225
236
theorem smul_Ioc : r • Ioc a b = Ioc (r • a) (r • b) := by
ext x simp only [mem_smul_set, smul_eq_mul, mem_Ioc] constructor · rintro ⟨a, ⟨a_h_left_left, a_h_left_right⟩, rfl⟩ constructor · exact (mul_lt_mul_left hr).mpr a_h_left_left · exact (mul_le_mul_left hr).mpr a_h_left_right · rintro ⟨a_left, a_right⟩ use x / r refine ⟨⟨(lt_div_iff' hr).mpr a_left, (div_le_iff' hr).mpr a_right⟩, ?_⟩ rw [mul_div_cancel₀ _ (ne_of_gt hr)]
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation #align_import linear_algebra.clifford_algebra.star from "leanprover-community/mathlib"@"4d66277cfec381260ba05c68f9ae6ce2a118031d" variable {R : Type*} [CommRing R] variable {M : Type*} [AddCommGroup M] [Module R M] variable {Q : QuadraticForm R M} namespace CliffordAlgebra instance instStarRing : StarRing (CliffordAlgebra Q) where star x := reverse (involute x) star_involutive x := by simp only [reverse_involute_commute.eq, reverse_reverse, involute_involute] star_mul x y := by simp only [map_mul, reverse.map_mul] star_add x y := by simp only [map_add] theorem star_def (x : CliffordAlgebra Q) : star x = reverse (involute x) := rfl #align clifford_algebra.star_def CliffordAlgebra.star_def theorem star_def' (x : CliffordAlgebra Q) : star x = involute (reverse x) := reverse_involute _ #align clifford_algebra.star_def' CliffordAlgebra.star_def' @[simp]
Mathlib/LinearAlgebra/CliffordAlgebra/Star.lean
50
50
theorem star_ι (m : M) : star (ι Q m) = -ι Q m := by
rw [star_def, involute_ι, map_neg, reverse_ι]
import Mathlib.Algebra.QuadraticDiscriminant import Mathlib.Analysis.Convex.SpecificFunctions.Deriv import Mathlib.Analysis.SpecialFunctions.Pow.Complex #align_import analysis.special_functions.trigonometric.complex from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" noncomputable section namespace Complex open Set Filter open scoped Real theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 := by have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1 := by rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero, zero_mul, add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub] ring_nf rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm] refine exists_congr fun x => ?_ refine (iff_of_eq <| congr_arg _ ?_).trans (mul_right_inj' <| mul_ne_zero two_ne_zero I_ne_zero) field_simp; ring #align complex.cos_eq_zero_iff Complex.cos_eq_zero_iff theorem cos_ne_zero_iff {θ : ℂ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 := by rw [← not_exists, not_iff_not, cos_eq_zero_iff] #align complex.cos_ne_zero_iff Complex.cos_ne_zero_iff theorem sin_eq_zero_iff {θ : ℂ} : sin θ = 0 ↔ ∃ k : ℤ, θ = k * π := by rw [← Complex.cos_sub_pi_div_two, cos_eq_zero_iff] constructor · rintro ⟨k, hk⟩ use k + 1 field_simp [eq_add_of_sub_eq hk] ring · rintro ⟨k, rfl⟩ use k - 1 field_simp ring #align complex.sin_eq_zero_iff Complex.sin_eq_zero_iff
Mathlib/Analysis/SpecialFunctions/Trigonometric/Complex.lean
60
61
theorem sin_ne_zero_iff {θ : ℂ} : sin θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π := by
rw [← not_exists, not_iff_not, sin_eq_zero_iff]
import Mathlib.Algebra.IsPrimePow import Mathlib.Algebra.Squarefree.Basic import Mathlib.Order.Hom.Bounded import Mathlib.Algebra.GCDMonoid.Basic #align_import ring_theory.chain_of_divisors from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" variable {M : Type*} [CancelCommMonoidWithZero M] theorem Associates.isAtom_iff {p : Associates M} (h₁ : p ≠ 0) : IsAtom p ↔ Irreducible p := ⟨fun hp => ⟨by simpa only [Associates.isUnit_iff_eq_one] using hp.1, fun a b h => (hp.le_iff.mp ⟨_, h⟩).casesOn (fun ha => Or.inl (a.isUnit_iff_eq_one.mpr ha)) fun ha => Or.inr (show IsUnit b by rw [ha] at h apply isUnit_of_associated_mul (show Associated (p * b) p by conv_rhs => rw [h]) h₁)⟩, fun hp => ⟨by simpa only [Associates.isUnit_iff_eq_one, Associates.bot_eq_one] using hp.1, fun b ⟨⟨a, hab⟩, hb⟩ => (hp.isUnit_or_isUnit hab).casesOn (fun hb => show b = ⊥ by rwa [Associates.isUnit_iff_eq_one, ← Associates.bot_eq_one] at hb) fun ha => absurd (show p ∣ b from ⟨(ha.unit⁻¹ : Units _), by rw [hab, mul_assoc, IsUnit.mul_val_inv ha, mul_one]⟩) hb⟩⟩ #align associates.is_atom_iff Associates.isAtom_iff open UniqueFactorizationMonoid multiplicity Irreducible Associates namespace DivisorChain theorem exists_chain_of_prime_pow {p : Associates M} {n : ℕ} (hn : n ≠ 0) (hp : Prime p) : ∃ c : Fin (n + 1) → Associates M, c 1 = p ∧ StrictMono c ∧ ∀ {r : Associates M}, r ≤ p ^ n ↔ ∃ i, r = c i := by refine ⟨fun i => p ^ (i : ℕ), ?_, fun n m h => ?_, @fun y => ⟨fun h => ?_, ?_⟩⟩ · dsimp only rw [Fin.val_one', Nat.mod_eq_of_lt, pow_one] exact Nat.lt_succ_of_le (Nat.one_le_iff_ne_zero.mpr hn) · exact Associates.dvdNotUnit_iff_lt.mp ⟨pow_ne_zero n hp.ne_zero, p ^ (m - n : ℕ), not_isUnit_of_not_isUnit_dvd hp.not_unit (dvd_pow dvd_rfl (Nat.sub_pos_of_lt h).ne'), (pow_mul_pow_sub p h.le).symm⟩ · obtain ⟨i, i_le, hi⟩ := (dvd_prime_pow hp n).1 h rw [associated_iff_eq] at hi exact ⟨⟨i, Nat.lt_succ_of_le i_le⟩, hi⟩ · rintro ⟨i, rfl⟩ exact ⟨p ^ (n - i : ℕ), (pow_mul_pow_sub p (Nat.succ_le_succ_iff.mp i.2)).symm⟩ #align divisor_chain.exists_chain_of_prime_pow DivisorChain.exists_chain_of_prime_pow theorem element_of_chain_not_isUnit_of_index_ne_zero {n : ℕ} {i : Fin (n + 1)} (i_pos : i ≠ 0) {c : Fin (n + 1) → Associates M} (h₁ : StrictMono c) : ¬IsUnit (c i) := DvdNotUnit.not_unit (Associates.dvdNotUnit_iff_lt.2 (h₁ <| show (0 : Fin (n + 1)) < i from Fin.pos_iff_ne_zero.mpr i_pos)) #align divisor_chain.element_of_chain_not_is_unit_of_index_ne_zero DivisorChain.element_of_chain_not_isUnit_of_index_ne_zero theorem first_of_chain_isUnit {q : Associates M} {n : ℕ} {c : Fin (n + 1) → Associates M} (h₁ : StrictMono c) (h₂ : ∀ {r}, r ≤ q ↔ ∃ i, r = c i) : IsUnit (c 0) := by obtain ⟨i, hr⟩ := h₂.mp Associates.one_le rw [Associates.isUnit_iff_eq_one, ← Associates.le_one_iff, hr] exact h₁.monotone (Fin.zero_le i) #align divisor_chain.first_of_chain_is_unit DivisorChain.first_of_chain_isUnit
Mathlib/RingTheory/ChainOfDivisors.lean
99
108
theorem second_of_chain_is_irreducible {q : Associates M} {n : ℕ} (hn : n ≠ 0) {c : Fin (n + 1) → Associates M} (h₁ : StrictMono c) (h₂ : ∀ {r}, r ≤ q ↔ ∃ i, r = c i) (hq : q ≠ 0) : Irreducible (c 1) := by
cases' n with n; · contradiction refine (Associates.isAtom_iff (ne_zero_of_dvd_ne_zero hq (h₂.2 ⟨1, rfl⟩))).mp ⟨?_, fun b hb => ?_⟩ · exact ne_bot_of_gt (h₁ (show (0 : Fin (n + 2)) < 1 from Fin.one_pos)) obtain ⟨⟨i, hi⟩, rfl⟩ := h₂.1 (hb.le.trans (h₂.2 ⟨1, rfl⟩)) cases i · exact (Associates.isUnit_iff_eq_one _).mp (first_of_chain_isUnit h₁ @h₂) · simpa [Fin.lt_iff_val_lt_val] using h₁.lt_iff_lt.mp hb
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
Mathlib/FieldTheory/RatFunc/Basic.lean
131
132
theorem ofFractionRing_one : (ofFractionRing 1 : RatFunc K) = 1 := by
simp only [One.one, OfNat.ofNat, RatFunc.one]
import Mathlib.Algebra.Group.Commutator import Mathlib.Algebra.Group.Subgroup.Finite import Mathlib.Data.Bracket import Mathlib.GroupTheory.Subgroup.Centralizer import Mathlib.Tactic.Group #align_import group_theory.commutator from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" variable {G G' F : Type*} [Group G] [Group G'] [FunLike F G G'] [MonoidHomClass F G G'] variable (f : F) {g₁ g₂ g₃ g : G} theorem commutatorElement_eq_one_iff_mul_comm : ⁅g₁, g₂⁆ = 1 ↔ g₁ * g₂ = g₂ * g₁ := by rw [commutatorElement_def, mul_inv_eq_one, mul_inv_eq_iff_eq_mul] #align commutator_element_eq_one_iff_mul_comm commutatorElement_eq_one_iff_mul_comm theorem commutatorElement_eq_one_iff_commute : ⁅g₁, g₂⁆ = 1 ↔ Commute g₁ g₂ := commutatorElement_eq_one_iff_mul_comm #align commutator_element_eq_one_iff_commute commutatorElement_eq_one_iff_commute theorem Commute.commutator_eq (h : Commute g₁ g₂) : ⁅g₁, g₂⁆ = 1 := commutatorElement_eq_one_iff_commute.mpr h #align commute.commutator_eq Commute.commutator_eq variable (g₁ g₂ g₃ g) @[simp] theorem commutatorElement_one_right : ⁅g, (1 : G)⁆ = 1 := (Commute.one_right g).commutator_eq #align commutator_element_one_right commutatorElement_one_right @[simp] theorem commutatorElement_one_left : ⁅(1 : G), g⁆ = 1 := (Commute.one_left g).commutator_eq #align commutator_element_one_left commutatorElement_one_left @[simp] theorem commutatorElement_self : ⁅g, g⁆ = 1 := (Commute.refl g).commutator_eq #align commutator_element_self commutatorElement_self @[simp] theorem commutatorElement_inv : ⁅g₁, g₂⁆⁻¹ = ⁅g₂, g₁⁆ := by simp_rw [commutatorElement_def, mul_inv_rev, inv_inv, mul_assoc] #align commutator_element_inv commutatorElement_inv
Mathlib/GroupTheory/Commutator.lean
65
66
theorem map_commutatorElement : (f ⁅g₁, g₂⁆ : G') = ⁅f g₁, f g₂⁆ := by
simp_rw [commutatorElement_def, map_mul f, map_inv f]
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Field.Rat import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Field.Rat import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.lym from "leanprover-community/mathlib"@"861a26926586cd46ff80264d121cdb6fa0e35cc1" open Finset Nat open FinsetFamily variable {𝕜 α : Type*} [LinearOrderedField 𝕜] namespace Finset section LocalLYM variable [DecidableEq α] [Fintype α] {𝒜 : Finset (Finset α)} {r : ℕ}
Mathlib/Combinatorics/SetFamily/LYM.lean
65
87
theorem card_mul_le_card_shadow_mul (h𝒜 : (𝒜 : Set (Finset α)).Sized r) : 𝒜.card * r ≤ (∂ 𝒜).card * (Fintype.card α - r + 1) := by
let i : DecidableRel ((· ⊆ ·) : Finset α → Finset α → Prop) := fun _ _ => Classical.dec _ refine card_mul_le_card_mul' (· ⊆ ·) (fun s hs => ?_) (fun s hs => ?_) · rw [← h𝒜 hs, ← card_image_of_injOn s.erase_injOn] refine card_le_card ?_ simp_rw [image_subset_iff, mem_bipartiteBelow] exact fun a ha => ⟨erase_mem_shadow hs ha, erase_subset _ _⟩ refine le_trans ?_ tsub_tsub_le_tsub_add rw [← (Set.Sized.shadow h𝒜) hs, ← card_compl, ← card_image_of_injOn (insert_inj_on' _)] refine card_le_card fun t ht => ?_ -- Porting note: commented out the following line -- infer_instance rw [mem_bipartiteAbove] at ht have : ∅ ∉ 𝒜 := by rw [← mem_coe, h𝒜.empty_mem_iff, coe_eq_singleton] rintro rfl rw [shadow_singleton_empty] at hs exact not_mem_empty s hs have h := exists_eq_insert_iff.2 ⟨ht.2, by rw [(sized_shadow_iff this).1 (Set.Sized.shadow h𝒜) ht.1, (Set.Sized.shadow h𝒜) hs]⟩ rcases h with ⟨a, ha, rfl⟩ exact mem_image_of_mem _ (mem_compl.2 ha)
import Mathlib.Data.Multiset.Sum import Mathlib.Data.Finset.Card #align_import data.finset.sum from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999" open Function Multiset Sum namespace Finset variable {α β : Type*} (s : Finset α) (t : Finset β) def disjSum : Finset (Sum α β) := ⟨s.1.disjSum t.1, s.2.disjSum t.2⟩ #align finset.disj_sum Finset.disjSum @[simp] theorem val_disjSum : (s.disjSum t).1 = s.1.disjSum t.1 := rfl #align finset.val_disj_sum Finset.val_disjSum @[simp] theorem empty_disjSum : (∅ : Finset α).disjSum t = t.map Embedding.inr := val_inj.1 <| Multiset.zero_disjSum _ #align finset.empty_disj_sum Finset.empty_disjSum @[simp] theorem disjSum_empty : s.disjSum (∅ : Finset β) = s.map Embedding.inl := val_inj.1 <| Multiset.disjSum_zero _ #align finset.disj_sum_empty Finset.disjSum_empty @[simp] theorem card_disjSum : (s.disjSum t).card = s.card + t.card := Multiset.card_disjSum _ _ #align finset.card_disj_sum Finset.card_disjSum
Mathlib/Data/Finset/Sum.lean
54
56
theorem disjoint_map_inl_map_inr : Disjoint (s.map Embedding.inl) (t.map Embedding.inr) := by
simp_rw [disjoint_left, mem_map] rintro x ⟨a, _, rfl⟩ ⟨b, _, ⟨⟩⟩
import Mathlib.Algebra.GCDMonoid.Basic import Mathlib.Data.Multiset.FinsetOps import Mathlib.Data.Multiset.Fold #align_import algebra.gcd_monoid.multiset from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" namespace Multiset variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α] section gcd def gcd (s : Multiset α) : α := s.fold GCDMonoid.gcd 0 #align multiset.gcd Multiset.gcd @[simp] theorem gcd_zero : (0 : Multiset α).gcd = 0 := fold_zero _ _ #align multiset.gcd_zero Multiset.gcd_zero @[simp] theorem gcd_cons (a : α) (s : Multiset α) : (a ::ₘ s).gcd = GCDMonoid.gcd a s.gcd := fold_cons_left _ _ _ _ #align multiset.gcd_cons Multiset.gcd_cons @[simp] theorem gcd_singleton {a : α} : ({a} : Multiset α).gcd = normalize a := (fold_singleton _ _ _).trans <| gcd_zero_right _ #align multiset.gcd_singleton Multiset.gcd_singleton @[simp] theorem gcd_add (s₁ s₂ : Multiset α) : (s₁ + s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := Eq.trans (by simp [gcd]) (fold_add _ _ _ _ _) #align multiset.gcd_add Multiset.gcd_add theorem dvd_gcd {s : Multiset α} {a : α} : a ∣ s.gcd ↔ ∀ b ∈ s, a ∣ b := Multiset.induction_on s (by simp) (by simp (config := { contextual := true }) [or_imp, forall_and, dvd_gcd_iff]) #align multiset.dvd_gcd Multiset.dvd_gcd theorem gcd_dvd {s : Multiset α} {a : α} (h : a ∈ s) : s.gcd ∣ a := dvd_gcd.1 dvd_rfl _ h #align multiset.gcd_dvd Multiset.gcd_dvd theorem gcd_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₂.gcd ∣ s₁.gcd := dvd_gcd.2 fun _ hb ↦ gcd_dvd (h hb) #align multiset.gcd_mono Multiset.gcd_mono @[simp 1100] theorem normalize_gcd (s : Multiset α) : normalize s.gcd = s.gcd := Multiset.induction_on s (by simp) fun a s _ ↦ by simp #align multiset.normalize_gcd Multiset.normalize_gcd theorem gcd_eq_zero_iff (s : Multiset α) : s.gcd = 0 ↔ ∀ x : α, x ∈ s → x = 0 := by constructor · intro h x hx apply eq_zero_of_zero_dvd rw [← h] apply gcd_dvd hx · refine s.induction_on ?_ ?_ · simp intro a s sgcd h simp [h a (mem_cons_self a s), sgcd fun x hx ↦ h x (mem_cons_of_mem hx)] #align multiset.gcd_eq_zero_iff Multiset.gcd_eq_zero_iff theorem gcd_map_mul (a : α) (s : Multiset α) : (s.map (a * ·)).gcd = normalize a * s.gcd := by refine s.induction_on ?_ fun b s ih ↦ ?_ · simp_rw [map_zero, gcd_zero, mul_zero] · simp_rw [map_cons, gcd_cons, ← gcd_mul_left] rw [ih] apply ((normalize_associated a).mul_right _).gcd_eq_right #align multiset.gcd_map_mul Multiset.gcd_map_mul section variable [DecidableEq α] @[simp] theorem gcd_dedup (s : Multiset α) : (dedup s).gcd = s.gcd := Multiset.induction_on s (by simp) fun a s IH ↦ by by_cases h : a ∈ s <;> simp [IH, h] unfold gcd rw [← cons_erase h, fold_cons_left, ← gcd_assoc, gcd_same] apply (associated_normalize _).gcd_eq_left #align multiset.gcd_dedup Multiset.gcd_dedup @[simp] theorem gcd_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add] simp #align multiset.gcd_ndunion Multiset.gcd_ndunion @[simp] theorem gcd_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add] simp #align multiset.gcd_union Multiset.gcd_union @[simp]
Mathlib/Algebra/GCDMonoid/Multiset.lean
219
221
theorem gcd_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).gcd = GCDMonoid.gcd a s.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_cons] simp
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Measure.Haar.Quotient import Mathlib.MeasureTheory.Constructions.Polish import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Topology.Algebra.Order.Floor #align_import measure_theory.integral.periodic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Function MeasureTheory MeasureTheory.Measure TopologicalSpace AddSubgroup intervalIntegral open scoped MeasureTheory NNReal ENNReal @[measurability] protected theorem AddCircle.measurable_mk' {a : ℝ} : Measurable (β := AddCircle a) ((↑) : ℝ → AddCircle a) := Continuous.measurable <| AddCircle.continuous_mk' a #align add_circle.measurable_mk' AddCircle.measurable_mk' theorem isAddFundamentalDomain_Ioc {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) : IsAddFundamentalDomain (AddSubgroup.zmultiples T) (Ioc t (t + T)) μ := by refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_ have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) := (Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective refine this.existsUnique_iff.2 ?_ simpa only [add_comm x] using existsUnique_add_zsmul_mem_Ioc hT x t #align is_add_fundamental_domain_Ioc isAddFundamentalDomain_Ioc theorem isAddFundamentalDomain_Ioc' {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) : IsAddFundamentalDomain (AddSubgroup.op <| .zmultiples T) (Ioc t (t + T)) μ := by refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_ have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) := (Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective refine (AddSubgroup.equivOp _).bijective.comp this |>.existsUnique_iff.2 ?_ simpa using existsUnique_add_zsmul_mem_Ioc hT x t #align is_add_fundamental_domain_Ioc' isAddFundamentalDomain_Ioc' variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] namespace Function namespace Periodic variable {f : ℝ → E} {T : ℝ}
Mathlib/MeasureTheory/Integral/Periodic.lean
256
262
theorem intervalIntegral_add_eq_of_pos (hf : Periodic f T) (hT : 0 < T) (t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by
simp only [integral_of_le, hT.le, le_add_iff_nonneg_right] haveI : VAddInvariantMeasure (AddSubgroup.zmultiples T) ℝ volume := ⟨fun c s _ => measure_preimage_add _ _ _⟩ apply IsAddFundamentalDomain.setIntegral_eq (G := AddSubgroup.zmultiples T) exacts [isAddFundamentalDomain_Ioc hT t, isAddFundamentalDomain_Ioc hT s, hf.map_vadd_zmultiples]
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics #align_import analysis.special_functions.pow.continuity from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" noncomputable section open scoped Classical open Real Topology NNReal ENNReal Filter ComplexConjugate open Filter Finset Set section CpowLimits open Complex variable {α : Type*} theorem zero_cpow_eq_nhds {b : ℂ} (hb : b ≠ 0) : (fun x : ℂ => (0 : ℂ) ^ x) =ᶠ[𝓝 b] 0 := by suffices ∀ᶠ x : ℂ in 𝓝 b, x ≠ 0 from this.mono fun x hx ↦ by dsimp only rw [zero_cpow hx, Pi.zero_apply] exact IsOpen.eventually_mem isOpen_ne hb #align zero_cpow_eq_nhds zero_cpow_eq_nhds theorem cpow_eq_nhds {a b : ℂ} (ha : a ≠ 0) : (fun x => x ^ b) =ᶠ[𝓝 a] fun x => exp (log x * b) := by suffices ∀ᶠ x : ℂ in 𝓝 a, x ≠ 0 from this.mono fun x hx ↦ by dsimp only rw [cpow_def_of_ne_zero hx] exact IsOpen.eventually_mem isOpen_ne ha #align cpow_eq_nhds cpow_eq_nhds
Mathlib/Analysis/SpecialFunctions/Pow/Continuity.lean
53
62
theorem cpow_eq_nhds' {p : ℂ × ℂ} (hp_fst : p.fst ≠ 0) : (fun x => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) := by
suffices ∀ᶠ x : ℂ × ℂ in 𝓝 p, x.1 ≠ 0 from this.mono fun x hx ↦ by dsimp only rw [cpow_def_of_ne_zero hx] refine IsOpen.eventually_mem ?_ hp_fst change IsOpen { x : ℂ × ℂ | x.1 = 0 }ᶜ rw [isOpen_compl_iff] exact isClosed_eq continuous_fst continuous_const
import Mathlib.Data.Vector.Basic import Mathlib.Data.List.Zip #align_import data.vector.zip from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe" namespace Vector section ZipWith variable {α β γ : Type*} {n : ℕ} (f : α → β → γ) def zipWith : Vector α n → Vector β n → Vector γ n := fun x y => ⟨List.zipWith f x.1 y.1, by simp⟩ #align vector.zip_with Vector.zipWith @[simp] theorem zipWith_toList (x : Vector α n) (y : Vector β n) : (Vector.zipWith f x y).toList = List.zipWith f x.toList y.toList := rfl #align vector.zip_with_to_list Vector.zipWith_toList @[simp]
Mathlib/Data/Vector/Zip.lean
33
36
theorem zipWith_get (x : Vector α n) (y : Vector β n) (i) : (Vector.zipWith f x y).get i = f (x.get i) (y.get i) := by
dsimp only [Vector.zipWith, Vector.get] simp only [List.get_zipWith, Fin.cast]
import Mathlib.CategoryTheory.Sites.Coherent.CoherentSheaves namespace CategoryTheory variable {C : Type*} [Category C] [Precoherent C] {X : C}
Mathlib/CategoryTheory/Sites/Coherent/CoherentTopology.lean
29
36
theorem coherentTopology.mem_sieves_of_hasEffectiveEpiFamily (S : Sieve X) : (∃ (α : Type) (_ : Finite α) (Y : α → C) (π : (a : α) → (Y a ⟶ X)), EffectiveEpiFamily Y π ∧ (∀ a : α, (S.arrows) (π a)) ) → (S ∈ GrothendieckTopology.sieves (coherentTopology C) X) := by
intro ⟨α, _, Y, π, hπ⟩ apply (coherentCoverage C).mem_toGrothendieck_sieves_of_superset (R := Presieve.ofArrows Y π) · exact fun _ _ h ↦ by cases h; exact hπ.2 _ · exact ⟨_, inferInstance, Y, π, rfl, hπ.1⟩
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 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) #align image_subtype_univ_ssubset_image_univ image_subtype_univ_ssubset_image_univ theorem Finset.exists_equiv_extend_of_card_eq [Fintype α] [DecidableEq β] {t : Finset β} (hαt : Fintype.card α = t.card) {s : Finset α} {f : α → β} (hfst : Finset.image f s ⊆ t) (hfs : Set.InjOn f s) : ∃ g : α ≃ t, ∀ i ∈ s, (g i : β) = f i := by classical induction' s using Finset.induction with a s has H generalizing f · obtain ⟨e⟩ : Nonempty (α ≃ ↥t) := by rwa [← Fintype.card_eq, Fintype.card_coe] use e simp have hfst' : Finset.image f s ⊆ t := (Finset.image_mono _ (s.subset_insert a)).trans hfst have hfs' : Set.InjOn f s := hfs.mono (s.subset_insert a) obtain ⟨g', hg'⟩ := H hfst' hfs' have hfat : f a ∈ t := hfst (mem_image_of_mem _ (s.mem_insert_self a)) use g'.trans (Equiv.swap (⟨f a, hfat⟩ : t) (g' a)) simp_rw [mem_insert] rintro i (rfl | hi) · simp rw [Equiv.trans_apply, Equiv.swap_apply_of_ne_of_ne, hg' _ hi] · exact ne_of_apply_ne Subtype.val (ne_of_eq_of_ne (hg' _ hi) <| hfs.ne (subset_insert _ _ hi) (mem_insert_self _ _) <| ne_of_mem_of_not_mem hi has) · exact g'.injective.ne (ne_of_mem_of_not_mem hi has) #align finset.exists_equiv_extend_of_card_eq Finset.exists_equiv_extend_of_card_eq
Mathlib/Data/Fintype/Sum.lean
105
115
theorem Set.MapsTo.exists_equiv_extend_of_card_eq [Fintype α] {t : Finset β} (hαt : Fintype.card α = t.card) {s : Set α} {f : α → β} (hfst : s.MapsTo f t) (hfs : Set.InjOn f s) : ∃ g : α ≃ t, ∀ i ∈ s, (g i : β) = f i := by
classical let s' : Finset α := s.toFinset have hfst' : s'.image f ⊆ t := by simpa [s', ← Finset.coe_subset] using hfst have hfs' : Set.InjOn f s' := by simpa [s'] using hfs obtain ⟨g, hg⟩ := Finset.exists_equiv_extend_of_card_eq hαt hfst' hfs' refine ⟨g, fun i hi => ?_⟩ apply hg simpa [s'] using hi
import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.Calculus.Deriv.Inv #align_import analysis.calculus.dslope from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open scoped Classical Topology Filter open Function Set Filter variable {𝕜 E : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] noncomputable def dslope (f : 𝕜 → E) (a : 𝕜) : 𝕜 → E := update (slope f a) a (deriv f a) #align dslope dslope @[simp] theorem dslope_same (f : 𝕜 → E) (a : 𝕜) : dslope f a a = deriv f a := update_same _ _ _ #align dslope_same dslope_same variable {f : 𝕜 → E} {a b : 𝕜} {s : Set 𝕜} theorem dslope_of_ne (f : 𝕜 → E) (h : b ≠ a) : dslope f a b = slope f a b := update_noteq h _ _ #align dslope_of_ne dslope_of_ne theorem ContinuousLinearMap.dslope_comp {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E →L[𝕜] F) (g : 𝕜 → E) (a b : 𝕜) (H : a = b → DifferentiableAt 𝕜 g a) : dslope (f ∘ g) a b = f (dslope g a b) := by rcases eq_or_ne b a with (rfl | hne) · simp only [dslope_same] exact (f.hasFDerivAt.comp_hasDerivAt b (H rfl).hasDerivAt).deriv · simpa only [dslope_of_ne _ hne] using f.toLinearMap.slope_comp g a b #align continuous_linear_map.dslope_comp ContinuousLinearMap.dslope_comp theorem eqOn_dslope_slope (f : 𝕜 → E) (a : 𝕜) : EqOn (dslope f a) (slope f a) {a}ᶜ := fun _ => dslope_of_ne f #align eq_on_dslope_slope eqOn_dslope_slope theorem dslope_eventuallyEq_slope_of_ne (f : 𝕜 → E) (h : b ≠ a) : dslope f a =ᶠ[𝓝 b] slope f a := (eqOn_dslope_slope f a).eventuallyEq_of_mem (isOpen_ne.mem_nhds h) #align dslope_eventually_eq_slope_of_ne dslope_eventuallyEq_slope_of_ne theorem dslope_eventuallyEq_slope_punctured_nhds (f : 𝕜 → E) : dslope f a =ᶠ[𝓝[≠] a] slope f a := (eqOn_dslope_slope f a).eventuallyEq_of_mem self_mem_nhdsWithin #align dslope_eventually_eq_slope_punctured_nhds dslope_eventuallyEq_slope_punctured_nhds @[simp] theorem sub_smul_dslope (f : 𝕜 → E) (a b : 𝕜) : (b - a) • dslope f a b = f b - f a := by rcases eq_or_ne b a with (rfl | hne) <;> simp [dslope_of_ne, *] #align sub_smul_dslope sub_smul_dslope
Mathlib/Analysis/Calculus/Dslope.lean
72
74
theorem dslope_sub_smul_of_ne (f : 𝕜 → E) (h : b ≠ a) : dslope (fun x => (x - a) • f x) a b = f b := by
rw [dslope_of_ne _ h, slope_sub_smul _ h.symm]
import Mathlib.NumberTheory.ModularForms.SlashInvariantForms import Mathlib.NumberTheory.ModularForms.CongruenceSubgroups noncomputable section open ModularForm UpperHalfPlane Complex Matrix open scoped MatrixGroups namespace EisensteinSeries variable (N : ℕ) (a : Fin 2 → ZMod N) variable {N a} section eisSummand def eisSummand (k : ℤ) (v : Fin 2 → ℤ) (z : ℍ) : ℂ := 1 / (v 0 * z.1 + v 1) ^ k
Mathlib/NumberTheory/ModularForms/EisensteinSeries/Basic.lean
92
100
theorem eisSummand_SL2_apply (k : ℤ) (i : (Fin 2 → ℤ)) (A : SL(2, ℤ)) (z : ℍ) : eisSummand k i (A • z) = (z.denom A) ^ k * eisSummand k (i ᵥ* A) z := by
simp only [eisSummand, specialLinearGroup_apply, algebraMap_int_eq, eq_intCast, ofReal_intCast, one_div, vecMul, vec2_dotProduct, Int.cast_add, Int.cast_mul] have h (a b c d u v : ℂ) (hc : c * z + d ≠ 0) : ((u * ((a * z + b) / (c * z + d)) + v) ^ k)⁻¹ = (c * z + d) ^ k * (((u * a + v * c) * z + (u * b + v * d)) ^ k)⁻¹ := by field_simp [hc] ring_nf apply h (hc := z.denom_ne_zero A)
import Mathlib.Algebra.GCDMonoid.Finset import Mathlib.Algebra.Polynomial.CancelLeads import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.FieldDivision #align_import ring_theory.polynomial.content from "leanprover-community/mathlib"@"7a030ab8eb5d99f05a891dccc49c5b5b90c947d3" namespace Polynomial open Polynomial variable {R : Type*} [CommRing R] [IsDomain R] section NormalizedGCDMonoid variable [NormalizedGCDMonoid R] def content (p : R[X]) : R := p.support.gcd p.coeff #align polynomial.content Polynomial.content theorem content_dvd_coeff {p : R[X]} (n : ℕ) : p.content ∣ p.coeff n := by by_cases h : n ∈ p.support · apply Finset.gcd_dvd h rw [mem_support_iff, Classical.not_not] at h rw [h] apply dvd_zero #align polynomial.content_dvd_coeff Polynomial.content_dvd_coeff @[simp] theorem content_C {r : R} : (C r).content = normalize r := by rw [content] by_cases h0 : r = 0 · simp [h0] have h : (C r).support = {0} := support_monomial _ h0 simp [h] set_option linter.uppercaseLean3 false in #align polynomial.content_C Polynomial.content_C @[simp] theorem content_zero : content (0 : R[X]) = 0 := by rw [← C_0, content_C, normalize_zero] #align polynomial.content_zero Polynomial.content_zero @[simp] theorem content_one : content (1 : R[X]) = 1 := by rw [← C_1, content_C, normalize_one] #align polynomial.content_one Polynomial.content_one theorem content_X_mul {p : R[X]} : content (X * p) = content p := by rw [content, content, Finset.gcd_def, Finset.gcd_def] refine congr rfl ?_ have h : (X * p).support = p.support.map ⟨Nat.succ, Nat.succ_injective⟩ := by ext a simp only [exists_prop, Finset.mem_map, Function.Embedding.coeFn_mk, Ne, mem_support_iff] cases' a with a · simp [coeff_X_mul_zero, Nat.succ_ne_zero] rw [mul_comm, coeff_mul_X] constructor · intro h use a · rintro ⟨b, ⟨h1, h2⟩⟩ rw [← Nat.succ_injective h2] apply h1 rw [h] simp only [Finset.map_val, Function.comp_apply, Function.Embedding.coeFn_mk, Multiset.map_map] refine congr (congr rfl ?_) rfl ext a rw [mul_comm] simp [coeff_mul_X] set_option linter.uppercaseLean3 false in #align polynomial.content_X_mul Polynomial.content_X_mul @[simp] theorem content_X_pow {k : ℕ} : content ((X : R[X]) ^ k) = 1 := by induction' k with k hi · simp rw [pow_succ', content_X_mul, hi] set_option linter.uppercaseLean3 false in #align polynomial.content_X_pow Polynomial.content_X_pow @[simp] theorem content_X : content (X : R[X]) = 1 := by rw [← mul_one X, content_X_mul, content_one] set_option linter.uppercaseLean3 false in #align polynomial.content_X Polynomial.content_X theorem content_C_mul (r : R) (p : R[X]) : (C r * p).content = normalize r * p.content := by by_cases h0 : r = 0; · simp [h0] rw [content]; rw [content]; rw [← Finset.gcd_mul_left] refine congr (congr rfl ?_) ?_ <;> ext <;> simp [h0, mem_support_iff] set_option linter.uppercaseLean3 false in #align polynomial.content_C_mul Polynomial.content_C_mul @[simp] theorem content_monomial {r : R} {k : ℕ} : content (monomial k r) = normalize r := by rw [← C_mul_X_pow_eq_monomial, content_C_mul, content_X_pow, mul_one] #align polynomial.content_monomial Polynomial.content_monomial
Mathlib/RingTheory/Polynomial/Content.lean
158
168
theorem content_eq_zero_iff {p : R[X]} : content p = 0 ↔ p = 0 := by
rw [content, Finset.gcd_eq_zero_iff] constructor <;> intro h · ext n by_cases h0 : n ∈ p.support · rw [h n h0, coeff_zero] · rw [mem_support_iff] at h0 push_neg at h0 simp [h0] · intro x simp [h]
import Mathlib.LinearAlgebra.FreeModule.IdealQuotient import Mathlib.RingTheory.Norm #align_import linear_algebra.free_module.norm from "leanprover-community/mathlib"@"90b0d53ee6ffa910e5c2a977ce7e2fc704647974" open Ideal Polynomial open scoped Polynomial variable {R S ι : Type*} [CommRing R] [IsDomain R] [IsPrincipalIdealRing R] [CommRing S] [IsDomain S] [Algebra R S] section CommRing variable (F : Type*) [CommRing F] [Algebra F R] [Algebra F S] [IsScalarTower F R S]
Mathlib/LinearAlgebra/FreeModule/Norm.lean
30
50
theorem associated_norm_prod_smith [Fintype ι] (b : Basis ι R S) {f : S} (hf : f ≠ 0) : Associated (Algebra.norm R f) (∏ i, smithCoeffs b _ (span_singleton_eq_bot.not.2 hf) i) := by
have hI := span_singleton_eq_bot.not.2 hf let b' := ringBasis b (span {f}) hI classical rw [← Matrix.det_diagonal, ← LinearMap.det_toLin b'] let e := (b'.equiv ((span {f}).selfBasis b hI) <| Equiv.refl _).trans ((LinearEquiv.coord S S f hf).restrictScalars R) refine (LinearMap.associated_det_of_eq_comp e _ _ ?_).symm dsimp only [e, LinearEquiv.trans_apply] simp_rw [← LinearEquiv.coe_toLinearMap, ← LinearMap.comp_apply, ← LinearMap.ext_iff] refine b'.ext fun i => ?_ simp_rw [LinearMap.comp_apply, LinearEquiv.coe_toLinearMap, Matrix.toLin_apply, Basis.repr_self, Finsupp.single_eq_pi_single, Matrix.diagonal_mulVec_single, Pi.single_apply, ite_smul, zero_smul, Finset.sum_ite_eq', mul_one, if_pos (Finset.mem_univ _), b'.equiv_apply] change _ = f * _ -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [mul_comm, ← smul_eq_mul, LinearEquiv.restrictScalars_apply, LinearEquiv.coord_apply_smul, Ideal.selfBasis_def] rfl
import Mathlib.Algebra.Order.Monoid.Defs import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Util.AssertExists #align_import algebra.order.group.defs from "leanprover-community/mathlib"@"b599f4e4e5cf1fbcb4194503671d3d9e569c1fce" open Function universe u variable {α : Type u} class OrderedAddCommGroup (α : Type u) extends AddCommGroup α, PartialOrder α where protected add_le_add_left : ∀ a b : α, a ≤ b → ∀ c : α, c + a ≤ c + b #align ordered_add_comm_group OrderedAddCommGroup class OrderedCommGroup (α : Type u) extends CommGroup α, PartialOrder α where protected mul_le_mul_left : ∀ a b : α, a ≤ b → ∀ c : α, c * a ≤ c * b #align ordered_comm_group OrderedCommGroup attribute [to_additive] OrderedCommGroup @[to_additive] instance OrderedCommGroup.to_covariantClass_left_le (α : Type u) [OrderedCommGroup α] : CovariantClass α α (· * ·) (· ≤ ·) where elim a b c bc := OrderedCommGroup.mul_le_mul_left b c bc a #align ordered_comm_group.to_covariant_class_left_le OrderedCommGroup.to_covariantClass_left_le #align ordered_add_comm_group.to_covariant_class_left_le OrderedAddCommGroup.to_covariantClass_left_le -- See note [lower instance priority] @[to_additive OrderedAddCommGroup.toOrderedCancelAddCommMonoid] instance (priority := 100) OrderedCommGroup.toOrderedCancelCommMonoid [OrderedCommGroup α] : OrderedCancelCommMonoid α := { ‹OrderedCommGroup α› with le_of_mul_le_mul_left := fun a b c ↦ le_of_mul_le_mul_left' } #align ordered_comm_group.to_ordered_cancel_comm_monoid OrderedCommGroup.toOrderedCancelCommMonoid #align ordered_add_comm_group.to_ordered_cancel_add_comm_monoid OrderedAddCommGroup.toOrderedCancelAddCommMonoid example (α : Type u) [OrderedAddCommGroup α] : CovariantClass α α (swap (· + ·)) (· < ·) := IsRightCancelAdd.covariant_swap_add_lt_of_covariant_swap_add_le α -- Porting note: this instance is not used, -- and causes timeouts after lean4#2210. -- It was introduced in https://github.com/leanprover-community/mathlib/pull/17564 -- but without the motivation clearly explained. @[to_additive "A choice-free shortcut instance."] theorem OrderedCommGroup.to_contravariantClass_left_le (α : Type u) [OrderedCommGroup α] : ContravariantClass α α (· * ·) (· ≤ ·) where elim a b c bc := by simpa using mul_le_mul_left' bc a⁻¹ #align ordered_comm_group.to_contravariant_class_left_le OrderedCommGroup.to_contravariantClass_left_le #align ordered_add_comm_group.to_contravariant_class_left_le OrderedAddCommGroup.to_contravariantClass_left_le -- Porting note: this instance is not used, -- and causes timeouts after lean4#2210. -- See further explanation on `OrderedCommGroup.to_contravariantClass_left_le`. @[to_additive "A choice-free shortcut instance."] theorem OrderedCommGroup.to_contravariantClass_right_le (α : Type u) [OrderedCommGroup α] : ContravariantClass α α (swap (· * ·)) (· ≤ ·) where elim a b c bc := by simpa using mul_le_mul_right' bc a⁻¹ #align ordered_comm_group.to_contravariant_class_right_le OrderedCommGroup.to_contravariantClass_right_le #align ordered_add_comm_group.to_contravariant_class_right_le OrderedAddCommGroup.to_contravariantClass_right_le section Group variable [Group α] section TypeclassesLeftRightLT variable [LT α] [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (swap (· * ·)) (· < ·)] {a b c d : α} @[to_additive (attr := simp)] theorem inv_lt_inv_iff : a⁻¹ < b⁻¹ ↔ b < a := by rw [← mul_lt_mul_iff_left a, ← mul_lt_mul_iff_right b] simp #align inv_lt_inv_iff inv_lt_inv_iff #align neg_lt_neg_iff neg_lt_neg_iff @[to_additive neg_lt] theorem inv_lt' : a⁻¹ < b ↔ b⁻¹ < a := by rw [← inv_lt_inv_iff, inv_inv] #align inv_lt' inv_lt' #align neg_lt neg_lt @[to_additive lt_neg]
Mathlib/Algebra/Order/Group/Defs.lean
394
394
theorem lt_inv' : a < b⁻¹ ↔ b < a⁻¹ := by
rw [← inv_lt_inv_iff, inv_inv]
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
Mathlib/Analysis/SumIntegralComparisons.lean
98
123
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]
import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100] theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩ #align finset.mem_map_equiv Finset.mem_map_equiv -- The simpNF linter says that the LHS can be simplified via `Finset.mem_map`. -- However this is a higher priority lemma. -- https://github.com/leanprover/std4/issues/207 @[simp 1100, nolint simpNF] theorem mem_map' (f : α ↪ β) {a} {s : Finset α} : f a ∈ s.map f ↔ a ∈ s := mem_map_of_injective f.2 #align finset.mem_map' Finset.mem_map' theorem mem_map_of_mem (f : α ↪ β) {a} {s : Finset α} : a ∈ s → f a ∈ s.map f := (mem_map' _).2 #align finset.mem_map_of_mem Finset.mem_map_of_mem theorem forall_mem_map {f : α ↪ β} {s : Finset α} {p : ∀ a, a ∈ s.map f → Prop} : (∀ y (H : y ∈ s.map f), p y H) ↔ ∀ x (H : x ∈ s), p (f x) (mem_map_of_mem _ H) := ⟨fun h y hy => h (f y) (mem_map_of_mem _ hy), fun h x hx => by obtain ⟨y, hy, rfl⟩ := mem_map.1 hx exact h _ hy⟩ #align finset.forall_mem_map Finset.forall_mem_map theorem apply_coe_mem_map (f : α ↪ β) (s : Finset α) (x : s) : f x ∈ s.map f := mem_map_of_mem f x.prop #align finset.apply_coe_mem_map Finset.apply_coe_mem_map @[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : Finset α) : (s.map f : Set β) = f '' s := Set.ext (by simp only [mem_coe, mem_map, Set.mem_image, implies_true]) #align finset.coe_map Finset.coe_map theorem coe_map_subset_range (f : α ↪ β) (s : Finset α) : (s.map f : Set β) ⊆ Set.range f := calc ↑(s.map f) = f '' s := coe_map f s _ ⊆ Set.range f := Set.image_subset_range f ↑s #align finset.coe_map_subset_range Finset.coe_map_subset_range theorem map_perm {σ : Equiv.Perm α} (hs : { a | σ a ≠ a } ⊆ s) : s.map (σ : α ↪ α) = s := coe_injective <| (coe_map _ _).trans <| Set.image_perm hs #align finset.map_perm Finset.map_perm theorem map_toFinset [DecidableEq α] [DecidableEq β] {s : Multiset α} : s.toFinset.map f = (s.map f).toFinset := ext fun _ => by simp only [mem_map, Multiset.mem_map, exists_prop, Multiset.mem_toFinset] #align finset.map_to_finset Finset.map_toFinset @[simp] theorem map_refl : s.map (Embedding.refl _) = s := ext fun _ => by simpa only [mem_map, exists_prop] using exists_eq_right #align finset.map_refl Finset.map_refl @[simp]
Mathlib/Data/Finset/Image.lean
141
144
theorem map_cast_heq {α β} (h : α = β) (s : Finset α) : HEq (s.map (Equiv.cast h).toEmbedding) s := by
subst h simp
import Mathlib.Algebra.Module.PID import Mathlib.Data.ZMod.Quotient #align_import group_theory.finite_abelian from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6" open scoped DirectSum private def directSumNeZeroMulHom {ι : Type} [DecidableEq ι] (p : ι → ℕ) (n : ι → ℕ) : (⨁ i : {i // n i ≠ 0}, ZMod (p i ^ n i)) →+ ⨁ i, ZMod (p i ^ n i) := DirectSum.toAddMonoid fun i ↦ DirectSum.of (fun i ↦ ZMod (p i ^ n i)) i private def directSumNeZeroMulEquiv (ι : Type) [DecidableEq ι] (p : ι → ℕ) (n : ι → ℕ) : (⨁ i : {i // n i ≠ 0}, ZMod (p i ^ n i)) ≃+ ⨁ i, ZMod (p i ^ n i) where toFun := directSumNeZeroMulHom p n invFun := DirectSum.toAddMonoid fun i ↦ if h : n i = 0 then 0 else DirectSum.of (fun j : {i // n i ≠ 0} ↦ ZMod (p j ^ n j)) ⟨i, h⟩ left_inv x := by induction' x using DirectSum.induction_on with i x x y hx hy · simp · rw [directSumNeZeroMulHom, DirectSum.toAddMonoid_of, DirectSum.toAddMonoid_of, dif_neg i.prop] · rw [map_add, map_add, hx, hy] right_inv x := by induction' x using DirectSum.induction_on with i x x y hx hy · rw [map_zero, map_zero] · rw [DirectSum.toAddMonoid_of] split_ifs with h · simp [(ZMod.subsingleton_iff.2 $ by rw [h, pow_zero]).elim x 0] · simp_rw [directSumNeZeroMulHom, DirectSum.toAddMonoid_of] · rw [map_add, map_add, hx, hy] map_add' := map_add (directSumNeZeroMulHom p n) universe u variable (G : Type u) namespace AddCommGroup variable [AddCommGroup G]
Mathlib/GroupTheory/FiniteAbelian.lean
114
126
theorem equiv_free_prod_directSum_zmod [hG : AddGroup.FG G] : ∃ (n : ℕ) (ι : Type) (_ : Fintype ι) (p : ι → ℕ) (_ : ∀ i, Nat.Prime <| p i) (e : ι → ℕ), Nonempty <| G ≃+ (Fin n →₀ ℤ) × ⨁ i : ι, ZMod (p i ^ e i) := by
obtain ⟨n, ι, fι, p, hp, e, ⟨f⟩⟩ := @Module.equiv_free_prod_directSum _ _ _ _ _ _ _ (Module.Finite.iff_addGroup_fg.mpr hG) refine ⟨n, ι, fι, fun i => (p i).natAbs, fun i => ?_, e, ⟨?_⟩⟩ · rw [← Int.prime_iff_natAbs_prime, ← irreducible_iff_prime]; exact hp i exact f.toAddEquiv.trans ((AddEquiv.refl _).prodCongr <| DFinsupp.mapRange.addEquiv fun i => ((Int.quotientSpanEquivZMod _).trans <| ZMod.ringEquivCongr <| (p i).natAbs_pow _).toAddEquiv)
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] theorem bind_zero : s.bind (fun _ => 0 : α → Multiset β) = 0 := by simp [bind, join, nsmul_zero] #align multiset.bind_zero Multiset.bind_zero @[simp]
Mathlib/Data/Multiset/Bind.lean
142
142
theorem bind_add : (s.bind fun a => f a + g a) = s.bind f + s.bind g := by
simp [bind, join]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.GCD.Basic import Mathlib.Init.Data.Nat.Lemmas import Mathlib.Logic.Function.Iterate import Mathlib.Tactic.Ring import Mathlib.Tactic.Zify #align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" namespace Nat -- Porting note: Lean cannot find pp_nodot at the time of this port. -- @[pp_nodot] def fib (n : ℕ) : ℕ := ((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst #align nat.fib Nat.fib @[simp] theorem fib_zero : fib 0 = 0 := rfl #align nat.fib_zero Nat.fib_zero @[simp] theorem fib_one : fib 1 = 1 := rfl #align nat.fib_one Nat.fib_one @[simp] theorem fib_two : fib 2 = 1 := rfl #align nat.fib_two Nat.fib_two theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by simp [fib, Function.iterate_succ_apply'] #align nat.fib_add_two Nat.fib_add_two lemma fib_add_one : ∀ {n}, n ≠ 0 → fib (n + 1) = fib (n - 1) + fib n | _n + 1, _ => fib_add_two theorem fib_le_fib_succ {n : ℕ} : fib n ≤ fib (n + 1) := by cases n <;> simp [fib_add_two] #align nat.fib_le_fib_succ Nat.fib_le_fib_succ @[mono] theorem fib_mono : Monotone fib := monotone_nat_of_le_succ fun _ => fib_le_fib_succ #align nat.fib_mono Nat.fib_mono @[simp] lemma fib_eq_zero : ∀ {n}, fib n = 0 ↔ n = 0 | 0 => Iff.rfl | 1 => Iff.rfl | n + 2 => by simp [fib_add_two, fib_eq_zero] @[simp] lemma fib_pos {n : ℕ} : 0 < fib n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.fib_pos Nat.fib_pos theorem fib_add_two_sub_fib_add_one {n : ℕ} : fib (n + 2) - fib (n + 1) = fib n := by rw [fib_add_two, add_tsub_cancel_right] #align nat.fib_add_two_sub_fib_add_one Nat.fib_add_two_sub_fib_add_one theorem fib_lt_fib_succ {n : ℕ} (hn : 2 ≤ n) : fib n < fib (n + 1) := by rcases exists_add_of_le hn with ⟨n, rfl⟩ rw [← tsub_pos_iff_lt, add_comm 2, add_right_comm, fib_add_two, add_tsub_cancel_right, fib_pos] exact succ_pos n #align nat.fib_lt_fib_succ Nat.fib_lt_fib_succ theorem fib_add_two_strictMono : StrictMono fun n => fib (n + 2) := by refine strictMono_nat_of_lt_succ fun n => ?_ rw [add_right_comm] exact fib_lt_fib_succ (self_le_add_left _ _) #align nat.fib_add_two_strict_mono Nat.fib_add_two_strictMono lemma fib_strictMonoOn : StrictMonoOn fib (Set.Ici 2) | _m + 2, _, _n + 2, _, hmn => fib_add_two_strictMono <| lt_of_add_lt_add_right hmn lemma fib_lt_fib {m : ℕ} (hm : 2 ≤ m) : ∀ {n}, fib m < fib n ↔ m < n | 0 => by simp [hm] | 1 => by simp [hm] | n + 2 => fib_strictMonoOn.lt_iff_lt hm <| by simp theorem le_fib_self {n : ℕ} (five_le_n : 5 ≤ n) : n ≤ fib n := by induction' five_le_n with n five_le_n IH ·-- 5 ≤ fib 5 rfl · -- n + 1 ≤ fib (n + 1) for 5 ≤ n rw [succ_le_iff] calc n ≤ fib n := IH _ < fib (n + 1) := fib_lt_fib_succ (le_trans (by decide) five_le_n) #align nat.le_fib_self Nat.le_fib_self lemma le_fib_add_one : ∀ n, n ≤ fib n + 1 | 0 => zero_le_one | 1 => one_le_two | 2 => le_rfl | 3 => le_rfl | 4 => le_rfl | _n + 5 => (le_fib_self le_add_self).trans <| le_succ _ theorem fib_coprime_fib_succ (n : ℕ) : Nat.Coprime (fib n) (fib (n + 1)) := by induction' n with n ih · simp · rw [fib_add_two] simp only [coprime_add_self_right] simp [Coprime, ih.symm] #align nat.fib_coprime_fib_succ Nat.fib_coprime_fib_succ theorem fib_add (m n : ℕ) : fib (m + n + 1) = fib m * fib n + fib (m + 1) * fib (n + 1) := by induction' n with n ih generalizing m · simp · specialize ih (m + 1) rw [add_assoc m 1 n, add_comm 1 n] at ih simp only [fib_add_two, succ_eq_add_one, ih] ring #align nat.fib_add Nat.fib_add
Mathlib/Data/Nat/Fib/Basic.lean
174
179
theorem fib_two_mul (n : ℕ) : fib (2 * n) = fib n * (2 * fib (n + 1) - fib n) := by
cases n · simp · rw [two_mul, ← add_assoc, fib_add, fib_add_two, two_mul] simp only [← add_assoc, add_tsub_cancel_right] ring
import Mathlib.Analysis.Normed.Group.Basic import Mathlib.Topology.MetricSpace.Thickening import Mathlib.Topology.MetricSpace.IsometricSMul #align_import analysis.normed.group.pointwise from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Metric Set Pointwise Topology variable {E : Type*} section SeminormedCommGroup variable [SeminormedCommGroup E] {ε δ : ℝ} {s t : Set E} {x y : E} section EMetric open EMetric @[to_additive (attr := simp)]
Mathlib/Analysis/Normed/Group/Pointwise.lean
69
70
theorem infEdist_inv_inv (x : E) (s : Set E) : infEdist x⁻¹ s⁻¹ = infEdist x s := by
rw [← image_inv, infEdist_image isometry_inv]
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] 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 theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) : ∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧ s ⊆ LinearMap.range (mapIncl M' N') := by simp_rw [Module.Finite.iff_fg] refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_ rintro a s - - ⟨M', N', hM', hN', h⟩ refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_ · exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩ · refine ⟨_, _, hM'.sup (fg_span_singleton x), hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩ · exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ ⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩ · exact range_mapIncl_mono le_sup_left le_sup_left (h hz) · obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩ · exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s)) · exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s)) · exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean
121
126
theorem exists_finite_submodule_left_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) : ∃ M' : Submodule R M, Module.Finite R M' ∧ s ⊆ LinearMap.range (M'.subtype.rTensor N) := by
obtain ⟨M', _, hfin, _, h⟩ := exists_finite_submodule_of_finite s hs refine ⟨M', hfin, ?_⟩ rw [mapIncl, ← LinearMap.rTensor_comp_lTensor] at h exact h.trans (LinearMap.range_comp_le_range _ _)
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Bits import Mathlib.Data.Nat.Log import Mathlib.Data.List.Indexes import Mathlib.Data.List.Palindrome import Mathlib.Tactic.IntervalCases import Mathlib.Tactic.Linarith import Mathlib.Tactic.Ring #align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace Nat variable {n : ℕ} def digitsAux0 : ℕ → List ℕ | 0 => [] | n + 1 => [n + 1] #align nat.digits_aux_0 Nat.digitsAux0 def digitsAux1 (n : ℕ) : List ℕ := List.replicate n 1 #align nat.digits_aux_1 Nat.digitsAux1 def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ | 0 => [] | n + 1 => ((n + 1) % b) :: digitsAux b h ((n + 1) / b) decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h #align nat.digits_aux Nat.digitsAux @[simp] theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux] #align nat.digits_aux_zero Nat.digitsAux_zero theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) : digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by cases n · cases w · rw [digitsAux] #align nat.digits_aux_def Nat.digitsAux_def def digits : ℕ → ℕ → List ℕ | 0 => digitsAux0 | 1 => digitsAux1 | b + 2 => digitsAux (b + 2) (by norm_num) #align nat.digits Nat.digits @[simp] theorem digits_zero (b : ℕ) : digits b 0 = [] := by rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1] #align nat.digits_zero Nat.digits_zero -- @[simp] -- Porting note (#10618): simp can prove this theorem digits_zero_zero : digits 0 0 = [] := rfl #align nat.digits_zero_zero Nat.digits_zero_zero @[simp] theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] := rfl #align nat.digits_zero_succ Nat.digits_zero_succ theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n] | 0, h => (h rfl).elim | _ + 1, _ => rfl #align nat.digits_zero_succ' Nat.digits_zero_succ' @[simp] theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 := rfl #align nat.digits_one Nat.digits_one -- @[simp] -- Porting note (#10685): dsimp can prove this theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n := rfl #align nat.digits_one_succ Nat.digits_one_succ theorem digits_add_two_add_one (b n : ℕ) : digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by simp [digits, digitsAux_def] #align nat.digits_add_two_add_one Nat.digits_add_two_add_one @[simp] lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) : Nat.digits b n = n % b :: Nat.digits b (n / b) := by rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one] theorem digits_def' : ∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b) | 0, h => absurd h (by decide) | 1, h => absurd h (by decide) | b + 2, _ => digitsAux_def _ (by simp) _ #align nat.digits_def' Nat.digits_def' @[simp]
Mathlib/Data/Nat/Digits.lean
137
140
theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by
rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩ rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩ rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb]
import Mathlib.Data.Set.Prod #align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654" open Function namespace Set variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ} variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ} {d d' : δ} theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t := ⟨by rintro ⟨a', ha', b', hb', h⟩ rcases hf h with ⟨rfl, rfl⟩ exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩ #align set.mem_image2_iff Set.mem_image2_iff theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by rintro _ ⟨a, ha, b, hb, rfl⟩ exact mem_image2_of_mem (hs ha) (ht hb) #align set.image2_subset Set.image2_subset theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' := image2_subset Subset.rfl ht #align set.image2_subset_left Set.image2_subset_left theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t := image2_subset hs Subset.rfl #align set.image2_subset_right Set.image2_subset_right theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t := forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb #align set.image_subset_image2_left Set.image_subset_image2_left theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t := forall_mem_image.2 fun _ => mem_image2_of_mem ha #align set.image_subset_image2_right Set.image_subset_image2_right theorem forall_image2_iff {p : γ → Prop} : (∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := ⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩ #align set.forall_image2_iff Set.forall_image2_iff @[simp] theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u := forall_image2_iff #align set.image2_subset_iff Set.image2_subset_iff
Mathlib/Data/Set/NAry.lean
68
69
theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage]
import Mathlib.Data.List.Nodup #align_import data.list.duplicate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" variable {α : Type*} namespace List inductive Duplicate (x : α) : List α → Prop | cons_mem {l : List α} : x ∈ l → Duplicate x (x :: l) | cons_duplicate {y : α} {l : List α} : Duplicate x l → Duplicate x (y :: l) #align list.duplicate List.Duplicate local infixl:50 " ∈+ " => List.Duplicate variable {l : List α} {x : α} theorem Mem.duplicate_cons_self (h : x ∈ l) : x ∈+ x :: l := Duplicate.cons_mem h #align list.mem.duplicate_cons_self List.Mem.duplicate_cons_self theorem Duplicate.duplicate_cons (h : x ∈+ l) (y : α) : x ∈+ y :: l := Duplicate.cons_duplicate h #align list.duplicate.duplicate_cons List.Duplicate.duplicate_cons theorem Duplicate.mem (h : x ∈+ l) : x ∈ l := by induction' h with l' _ y l' _ hm · exact mem_cons_self _ _ · exact mem_cons_of_mem _ hm #align list.duplicate.mem List.Duplicate.mem theorem Duplicate.mem_cons_self (h : x ∈+ x :: l) : x ∈ l := by cases' h with _ h _ _ h · exact h · exact h.mem #align list.duplicate.mem_cons_self List.Duplicate.mem_cons_self @[simp] theorem duplicate_cons_self_iff : x ∈+ x :: l ↔ x ∈ l := ⟨Duplicate.mem_cons_self, Mem.duplicate_cons_self⟩ #align list.duplicate_cons_self_iff List.duplicate_cons_self_iff theorem Duplicate.ne_nil (h : x ∈+ l) : l ≠ [] := fun H => (mem_nil_iff x).mp (H ▸ h.mem) #align list.duplicate.ne_nil List.Duplicate.ne_nil @[simp] theorem not_duplicate_nil (x : α) : ¬x ∈+ [] := fun H => H.ne_nil rfl #align list.not_duplicate_nil List.not_duplicate_nil theorem Duplicate.ne_singleton (h : x ∈+ l) (y : α) : l ≠ [y] := by induction' h with l' h z l' h _ · simp [ne_nil_of_mem h] · simp [ne_nil_of_mem h.mem] #align list.duplicate.ne_singleton List.Duplicate.ne_singleton @[simp] theorem not_duplicate_singleton (x y : α) : ¬x ∈+ [y] := fun H => H.ne_singleton _ rfl #align list.not_duplicate_singleton List.not_duplicate_singleton theorem Duplicate.elim_nil (h : x ∈+ []) : False := not_duplicate_nil x h #align list.duplicate.elim_nil List.Duplicate.elim_nil theorem Duplicate.elim_singleton {y : α} (h : x ∈+ [y]) : False := not_duplicate_singleton x y h #align list.duplicate.elim_singleton List.Duplicate.elim_singleton theorem duplicate_cons_iff {y : α} : x ∈+ y :: l ↔ y = x ∧ x ∈ l ∨ x ∈+ l := by refine ⟨fun h => ?_, fun h => ?_⟩ · cases' h with _ hm _ _ hm · exact Or.inl ⟨rfl, hm⟩ · exact Or.inr hm · rcases h with (⟨rfl | h⟩ | h) · simpa · exact h.cons_duplicate #align list.duplicate_cons_iff List.duplicate_cons_iff theorem Duplicate.of_duplicate_cons {y : α} (h : x ∈+ y :: l) (hx : x ≠ y) : x ∈+ l := by simpa [duplicate_cons_iff, hx.symm] using h #align list.duplicate.of_duplicate_cons List.Duplicate.of_duplicate_cons theorem duplicate_cons_iff_of_ne {y : α} (hne : x ≠ y) : x ∈+ y :: l ↔ x ∈+ l := by simp [duplicate_cons_iff, hne.symm] #align list.duplicate_cons_iff_of_ne List.duplicate_cons_iff_of_ne theorem Duplicate.mono_sublist {l' : List α} (hx : x ∈+ l) (h : l <+ l') : x ∈+ l' := by induction' h with l₁ l₂ y _ IH l₁ l₂ y h IH · exact hx · exact (IH hx).duplicate_cons _ · rw [duplicate_cons_iff] at hx ⊢ rcases hx with (⟨rfl, hx⟩ | hx) · simp [h.subset hx] · simp [IH hx] #align list.duplicate.mono_sublist List.Duplicate.mono_sublist theorem duplicate_iff_sublist : x ∈+ l ↔ [x, x] <+ l := by induction' l with y l IH · simp · by_cases hx : x = y · simp [hx, cons_sublist_cons, singleton_sublist] · rw [duplicate_cons_iff_of_ne hx, IH] refine ⟨sublist_cons_of_sublist y, fun h => ?_⟩ cases h · assumption · contradiction #align list.duplicate_iff_sublist List.duplicate_iff_sublist theorem nodup_iff_forall_not_duplicate : Nodup l ↔ ∀ x : α, ¬x ∈+ l := by simp_rw [nodup_iff_sublist, duplicate_iff_sublist] #align list.nodup_iff_forall_not_duplicate List.nodup_iff_forall_not_duplicate theorem exists_duplicate_iff_not_nodup : (∃ x : α, x ∈+ l) ↔ ¬Nodup l := by simp [nodup_iff_forall_not_duplicate] #align list.exists_duplicate_iff_not_nodup List.exists_duplicate_iff_not_nodup theorem Duplicate.not_nodup (h : x ∈+ l) : ¬Nodup l := fun H => nodup_iff_forall_not_duplicate.mp H _ h #align list.duplicate.not_nodup List.Duplicate.not_nodup
Mathlib/Data/List/Duplicate.lean
141
142
theorem duplicate_iff_two_le_count [DecidableEq α] : x ∈+ l ↔ 2 ≤ count x l := by
simp [duplicate_iff_sublist, le_count_iff_replicate_sublist]
import Mathlib.RingTheory.RingHomProperties import Mathlib.RingTheory.IntegralClosure #align_import ring_theory.ring_hom.integral from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" namespace RingHom open scoped TensorProduct open TensorProduct Algebra.TensorProduct theorem isIntegral_stableUnderComposition : StableUnderComposition fun f => f.IsIntegral := by introv R hf hg; exact hf.trans _ _ hg #align ring_hom.is_integral_stable_under_composition RingHom.isIntegral_stableUnderComposition
Mathlib/RingTheory/RingHom/Integral.lean
28
32
theorem isIntegral_respectsIso : RespectsIso fun f => f.IsIntegral := by
apply isIntegral_stableUnderComposition.respectsIso introv x rw [← e.apply_symm_apply x] apply RingHom.isIntegralElem_map
import Mathlib.Algebra.BigOperators.Group.Finset #align_import data.nat.gcd.big_operators from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" namespace Nat variable {ι : Type*}
Mathlib/Data/Nat/GCD/BigOperators.lean
20
22
theorem coprime_list_prod_left_iff {l : List ℕ} {k : ℕ} : Coprime l.prod k ↔ ∀ n ∈ l, Coprime n k := by
induction l <;> simp [Nat.coprime_mul_iff_left, *]
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι] theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul] #align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by simp [volume_eq_stieltjes_id] #align real.volume_val Real.volume_val @[simp] theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ico Real.volume_Ico @[simp] theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Icc Real.volume_Icc @[simp] theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioo Real.volume_Ioo @[simp] theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioc Real.volume_Ioc -- @[simp] -- Porting note (#10618): simp can prove this theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val] #align real.volume_singleton Real.volume_singleton -- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628 theorem volume_univ : volume (univ : Set ℝ) = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => calc (r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp _ ≤ volume univ := measure_mono (subset_univ _) #align real.volume_univ Real.volume_univ @[simp] theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul] #align real.volume_ball Real.volume_ball @[simp] theorem volume_closedBall (a r : ℝ) : volume (Metric.closedBall a r) = ofReal (2 * r) := by rw [closedBall_eq_Icc, volume_Icc, ← sub_add, add_sub_cancel_left, two_mul] #align real.volume_closed_ball Real.volume_closedBall @[simp] theorem volume_emetric_ball (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.ball a r) = 2 * r := by rcases eq_or_ne r ∞ with (rfl | hr) · rw [Metric.emetric_ball_top, volume_univ, two_mul, _root_.top_add] · lift r to ℝ≥0 using hr rw [Metric.emetric_ball_nnreal, volume_ball, two_mul, ← NNReal.coe_add, ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul] #align real.volume_emetric_ball Real.volume_emetric_ball @[simp] theorem volume_emetric_closedBall (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.closedBall a r) = 2 * r := by rcases eq_or_ne r ∞ with (rfl | hr) · rw [EMetric.closedBall_top, volume_univ, two_mul, _root_.top_add] · lift r to ℝ≥0 using hr rw [Metric.emetric_closedBall_nnreal, volume_closedBall, two_mul, ← NNReal.coe_add, ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul] #align real.volume_emetric_closed_ball Real.volume_emetric_closedBall instance noAtoms_volume : NoAtoms (volume : Measure ℝ) := ⟨fun _ => volume_singleton⟩ #align real.has_no_atoms_volume Real.noAtoms_volume @[simp] theorem volume_interval {a b : ℝ} : volume (uIcc a b) = ofReal |b - a| := by rw [← Icc_min_max, volume_Icc, max_sub_min_eq_abs] #align real.volume_interval Real.volume_interval @[simp]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
145
150
theorem volume_Ioi {a : ℝ} : volume (Ioi a) = ∞ := top_unique <| le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n => calc (n : ℝ≥0∞) = volume (Ioo a (a + n)) := by
simp _ ≤ volume (Ioi a) := measure_mono Ioo_subset_Ioi_self
import Mathlib.Probability.Kernel.MeasurableIntegral #align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b" open MeasureTheory open scoped ENNReal namespace ProbabilityTheory namespace kernel variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} section CompositionProduct variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)} noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) : ℝ≥0∞ := ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a #align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) : compProdFun κ η a ∅ = 0 := by simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty, MeasureTheory.lintegral_const, zero_mul] #align probability_theory.kernel.comp_prod_fun_empty ProbabilityTheory.kernel.compProdFun_empty theorem compProdFun_iUnion (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (f : ℕ → Set (β × γ)) (hf_meas : ∀ i, MeasurableSet (f i)) (hf_disj : Pairwise (Disjoint on f)) : compProdFun κ η a (⋃ i, f i) = ∑' i, compProdFun κ η a (f i) := by have h_Union : (fun b => η (a, b) {c : γ | (b, c) ∈ ⋃ i, f i}) = fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i}) := by ext1 b congr with c simp only [Set.mem_iUnion, Set.iSup_eq_iUnion, Set.mem_setOf_eq] rw [compProdFun, h_Union] have h_tsum : (fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i})) = fun b => ∑' i, η (a, b) {c : γ | (b, c) ∈ f i} := by ext1 b rw [measure_iUnion] · intro i j hij s hsi hsj c hcs have hbci : {(b, c)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hcs have hbcj : {(b, c)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hcs simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff, Set.mem_empty_iff_false] using hf_disj hij hbci hbcj · -- Porting note: behavior of `@` changed relative to lean 3, was -- exact fun i => (@measurable_prod_mk_left β γ _ _ b) _ (hf_meas i) exact fun i => (@measurable_prod_mk_left β γ _ _ b) (hf_meas i) rw [h_tsum, lintegral_tsum] · rfl · intro i have hm : MeasurableSet {p : (α × β) × γ | (p.1.2, p.2) ∈ f i} := measurable_fst.snd.prod_mk measurable_snd (hf_meas i) exact ((measurable_kernel_prod_mk_left hm).comp measurable_prod_mk_left).aemeasurable #align probability_theory.kernel.comp_prod_fun_Union ProbabilityTheory.kernel.compProdFun_iUnion theorem compProdFun_tsum_right (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) : compProdFun κ η a s = ∑' n, compProdFun κ (seq η n) a s := by simp_rw [compProdFun, (measure_sum_seq η _).symm] have : ∫⁻ b, Measure.sum (fun n => seq η n (a, b)) {c : γ | (b, c) ∈ s} ∂κ a = ∫⁻ b, ∑' n, seq η n (a, b) {c : γ | (b, c) ∈ s} ∂κ a := by congr ext1 b rw [Measure.sum_apply] exact measurable_prod_mk_left hs rw [this, lintegral_tsum] exact fun n => ((measurable_kernel_prod_mk_left (κ := (seq η n)) ((measurable_fst.snd.prod_mk measurable_snd) hs)).comp measurable_prod_mk_left).aemeasurable #align probability_theory.kernel.comp_prod_fun_tsum_right ProbabilityTheory.kernel.compProdFun_tsum_right
Mathlib/Probability/Kernel/Composition.lean
146
148
theorem compProdFun_tsum_left (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel κ] (a : α) (s : Set (β × γ)) : compProdFun κ η a s = ∑' n, compProdFun (seq κ n) η a s := by
simp_rw [compProdFun, (measure_sum_seq κ _).symm, lintegral_sum_measure]
import Mathlib.CategoryTheory.EffectiveEpi.Preserves import Mathlib.CategoryTheory.EffectiveEpi.Coproduct import Mathlib.CategoryTheory.Extensive import Mathlib.CategoryTheory.Limits.Preserves.Finite namespace CategoryTheory open Limits variable {C : Type*} [Category C] [FinitaryPreExtensive C]
Mathlib/CategoryTheory/EffectiveEpi/Extensive.lean
24
29
theorem effectiveEpi_desc_iff_effectiveEpiFamily {α : Type} [Finite α] {B : C} (X : α → C) (π : (a : α) → X a ⟶ B) : EffectiveEpi (Sigma.desc π) ↔ EffectiveEpiFamily X π := by
exact ⟨fun h ↦ ⟨⟨@effectiveEpiFamilyStructOfEffectiveEpiDesc _ _ _ _ X π _ h _ _ (fun g ↦ (FinitaryPreExtensive.sigma_desc_iso (fun a ↦ Sigma.ι X a) g inferInstance).epi_of_iso)⟩⟩, fun _ ↦ inferInstance⟩
import Batteries.Data.DList import Mathlib.Mathport.Rename import Mathlib.Tactic.Cases #align_import data.dlist from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" universe u #align dlist Batteries.DList namespace Batteries.DList open Function variable {α : Type u} #align dlist.of_list Batteries.DList.ofList def lazy_ofList (l : Thunk (List α)) : DList α := ⟨fun xs => l.get ++ xs, fun t => by simp⟩ #align dlist.lazy_of_list Batteries.DList.lazy_ofList #align dlist.to_list Batteries.DList.toList #align dlist.empty Batteries.DList.empty #align dlist.singleton Batteries.DList.singleton attribute [local simp] Function.comp #align dlist.cons Batteries.DList.cons #align dlist.concat Batteries.DList.push #align dlist.append Batteries.DList.append attribute [local simp] ofList toList empty singleton cons push append theorem toList_ofList (l : List α) : DList.toList (DList.ofList l) = l := by cases l; rfl; simp only [DList.toList, DList.ofList, List.cons_append, List.append_nil] #align dlist.to_list_of_list Batteries.DList.toList_ofList theorem ofList_toList (l : DList α) : DList.ofList (DList.toList l) = l := by cases' l with app inv simp only [ofList, toList, mk.injEq] funext x rw [(inv x)] #align dlist.of_list_to_list Batteries.DList.ofList_toList theorem toList_empty : toList (@empty α) = [] := by simp #align dlist.to_list_empty Batteries.DList.toList_empty theorem toList_singleton (x : α) : toList (singleton x) = [x] := by simp #align dlist.to_list_singleton Batteries.DList.toList_singleton theorem toList_append (l₁ l₂ : DList α) : toList (l₁ ++ l₂) = toList l₁ ++ toList l₂ := show toList (DList.append l₁ l₂) = toList l₁ ++ toList l₂ by cases' l₁ with _ l₁_invariant; cases' l₂; simp; rw [l₁_invariant] #align dlist.to_list_append Batteries.DList.toList_append theorem toList_cons (x : α) (l : DList α) : toList (cons x l) = x :: toList l := by cases l; simp #align dlist.to_list_cons Batteries.DList.toList_cons
Mathlib/Data/DList/Defs.lean
84
85
theorem toList_push (x : α) (l : DList α) : toList (push l x) = toList l ++ [x] := by
cases' l with _ l_invariant; simp; rw [l_invariant]
import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.Tactic.ComputeDegree #align_import linear_algebra.matrix.polynomial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" set_option linter.uppercaseLean3 false open Matrix Polynomial variable {n α : Type*} [DecidableEq n] [Fintype n] [CommRing α] open Polynomial Matrix Equiv.Perm namespace Polynomial theorem natDegree_det_X_add_C_le (A B : Matrix n n α) : natDegree (det ((X : α[X]) • A.map C + B.map C : Matrix n n α[X])) ≤ Fintype.card n := by rw [det_apply] refine (natDegree_sum_le _ _).trans ?_ refine Multiset.max_le_of_forall_le _ _ ?_ simp only [forall_apply_eq_imp_iff, true_and_iff, Function.comp_apply, Multiset.map_map, Multiset.mem_map, exists_imp, Finset.mem_univ_val] intro g calc natDegree (sign g • ∏ i : n, (X • A.map C + B.map C : Matrix n n α[X]) (g i) i) ≤ natDegree (∏ i : n, (X • A.map C + B.map C : Matrix n n α[X]) (g i) i) := by cases' Int.units_eq_one_or (sign g) with sg sg · rw [sg, one_smul] · rw [sg, Units.neg_smul, one_smul, natDegree_neg] _ ≤ ∑ i : n, natDegree (((X : α[X]) • A.map C + B.map C : Matrix n n α[X]) (g i) i) := (natDegree_prod_le (Finset.univ : Finset n) fun i : n => (X • A.map C + B.map C : Matrix n n α[X]) (g i) i) _ ≤ Finset.univ.card • 1 := (Finset.sum_le_card_nsmul _ _ 1 fun (i : n) _ => ?_) _ ≤ Fintype.card n := by simp [mul_one, Algebra.id.smul_eq_mul, Finset.card_univ] dsimp only [add_apply, smul_apply, map_apply, smul_eq_mul] compute_degree #align polynomial.nat_degree_det_X_add_C_le Polynomial.natDegree_det_X_add_C_le theorem coeff_det_X_add_C_zero (A B : Matrix n n α) : coeff (det ((X : α[X]) • A.map C + B.map C)) 0 = det B := by rw [det_apply, finset_sum_coeff, det_apply] refine Finset.sum_congr rfl ?_ rintro g - convert coeff_smul (R := α) (sign g) _ 0 rw [coeff_zero_prod] refine Finset.prod_congr rfl ?_ simp #align polynomial.coeff_det_X_add_C_zero Polynomial.coeff_det_X_add_C_zero
Mathlib/LinearAlgebra/Matrix/Polynomial.lean
73
86
theorem coeff_det_X_add_C_card (A B : Matrix n n α) : coeff (det ((X : α[X]) • A.map C + B.map C)) (Fintype.card n) = det A := by
rw [det_apply, det_apply, finset_sum_coeff] refine Finset.sum_congr rfl ?_ simp only [Algebra.id.smul_eq_mul, Finset.mem_univ, RingHom.mapMatrix_apply, forall_true_left, map_apply, Pi.smul_apply] intro g convert coeff_smul (R := α) (sign g) _ _ rw [← mul_one (Fintype.card n)] convert (coeff_prod_of_natDegree_le (R := α) _ _ _ _).symm · simp [coeff_C] · rintro p - dsimp only [add_apply, smul_apply, map_apply, smul_eq_mul] compute_degree
import Mathlib.Topology.MetricSpace.PseudoMetric #align_import topology.metric_space.basic from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Bornology open scoped NNReal Uniformity universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} variable [PseudoMetricSpace α] class MetricSpace (α : Type u) extends PseudoMetricSpace α : Type u where eq_of_dist_eq_zero : ∀ {x y : α}, dist x y = 0 → x = y #align metric_space MetricSpace @[ext] theorem MetricSpace.ext {α : Type*} {m m' : MetricSpace α} (h : m.toDist = m'.toDist) : m = m' := by cases m; cases m'; congr; ext1; assumption #align metric_space.ext MetricSpace.ext def MetricSpace.ofDistTopology {α : Type u} [TopologicalSpace 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) (H : ∀ s : Set α, IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ∀ y, dist x y < ε → y ∈ s) (eq_of_dist_eq_zero : ∀ x y : α, dist x y = 0 → x = y) : MetricSpace α := { PseudoMetricSpace.ofDistTopology dist dist_self dist_comm dist_triangle H with eq_of_dist_eq_zero := eq_of_dist_eq_zero _ _ } #align metric_space.of_dist_topology MetricSpace.ofDistTopology variable {γ : Type w} [MetricSpace γ] theorem eq_of_dist_eq_zero {x y : γ} : dist x y = 0 → x = y := MetricSpace.eq_of_dist_eq_zero #align eq_of_dist_eq_zero eq_of_dist_eq_zero @[simp] theorem dist_eq_zero {x y : γ} : dist x y = 0 ↔ x = y := Iff.intro eq_of_dist_eq_zero fun this => this ▸ dist_self _ #align dist_eq_zero dist_eq_zero @[simp] theorem zero_eq_dist {x y : γ} : 0 = dist x y ↔ x = y := by rw [eq_comm, dist_eq_zero] #align zero_eq_dist zero_eq_dist theorem dist_ne_zero {x y : γ} : dist x y ≠ 0 ↔ x ≠ y := by simpa only [not_iff_not] using dist_eq_zero #align dist_ne_zero dist_ne_zero @[simp] theorem dist_le_zero {x y : γ} : dist x y ≤ 0 ↔ x = y := by simpa [le_antisymm_iff, dist_nonneg] using @dist_eq_zero _ _ x y #align dist_le_zero dist_le_zero @[simp] theorem dist_pos {x y : γ} : 0 < dist x y ↔ x ≠ y := by simpa only [not_le] using not_congr dist_le_zero #align dist_pos dist_pos theorem eq_of_forall_dist_le {x y : γ} (h : ∀ ε > 0, dist x y ≤ ε) : x = y := eq_of_dist_eq_zero (eq_of_le_of_forall_le_of_dense dist_nonneg h) #align eq_of_forall_dist_le eq_of_forall_dist_le theorem eq_of_nndist_eq_zero {x y : γ} : nndist x y = 0 → x = y := by simp only [← NNReal.eq_iff, ← dist_nndist, imp_self, NNReal.coe_zero, dist_eq_zero] #align eq_of_nndist_eq_zero eq_of_nndist_eq_zero @[simp] theorem nndist_eq_zero {x y : γ} : nndist x y = 0 ↔ x = y := by simp only [← NNReal.eq_iff, ← dist_nndist, imp_self, NNReal.coe_zero, dist_eq_zero] #align nndist_eq_zero nndist_eq_zero @[simp]
Mathlib/Topology/MetricSpace/Basic.lean
107
108
theorem zero_eq_nndist {x y : γ} : 0 = nndist x y ↔ x = y := by
simp only [← NNReal.eq_iff, ← dist_nndist, imp_self, NNReal.coe_zero, zero_eq_dist]
import Mathlib.Analysis.SpecialFunctions.Bernstein import Mathlib.Topology.Algebra.Algebra #align_import topology.continuous_function.weierstrass from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" open ContinuousMap Filter open scoped unitInterval theorem polynomialFunctions_closure_eq_top' : (polynomialFunctions I).topologicalClosure = ⊤ := by rw [eq_top_iff] rintro f - refine Filter.Frequently.mem_closure ?_ refine Filter.Tendsto.frequently (bernsteinApproximation_uniform f) ?_ apply frequently_of_forall intro n simp only [SetLike.mem_coe] apply Subalgebra.sum_mem rintro n - apply Subalgebra.smul_mem dsimp [bernstein, polynomialFunctions] simp #align polynomial_functions_closure_eq_top' polynomialFunctions_closure_eq_top' theorem polynomialFunctions_closure_eq_top (a b : ℝ) : (polynomialFunctions (Set.Icc a b)).topologicalClosure = ⊤ := by cases' lt_or_le a b with h h -- (Otherwise it's easy; we'll deal with that later.) · -- We can pullback continuous functions on `[a,b]` to continuous functions on `[0,1]`, -- by precomposing with an affine map. let W : C(Set.Icc a b, ℝ) →ₐ[ℝ] C(I, ℝ) := compRightAlgHom ℝ ℝ (iccHomeoI a b h).symm.toContinuousMap -- This operation is itself a homeomorphism -- (with respect to the norm topologies on continuous functions). let W' : C(Set.Icc a b, ℝ) ≃ₜ C(I, ℝ) := compRightHomeomorph ℝ (iccHomeoI a b h).symm have w : (W : C(Set.Icc a b, ℝ) → C(I, ℝ)) = W' := rfl -- Thus we take the statement of the Weierstrass approximation theorem for `[0,1]`, have p := polynomialFunctions_closure_eq_top' -- and pullback both sides, obtaining an equation between subalgebras of `C([a,b], ℝ)`. apply_fun fun s => s.comap W at p simp only [Algebra.comap_top] at p -- Since the pullback operation is continuous, it commutes with taking `topologicalClosure`, rw [Subalgebra.topologicalClosure_comap_homeomorph _ W W' w] at p -- and precomposing with an affine map takes polynomial functions to polynomial functions. rw [polynomialFunctions.comap_compRightAlgHom_iccHomeoI] at p -- 🎉 exact p · -- Otherwise, `b ≤ a`, and the interval is a subsingleton, have : Subsingleton (Set.Icc a b) := (Set.subsingleton_Icc_of_ge h).coe_sort apply Subsingleton.elim #align polynomial_functions_closure_eq_top polynomialFunctions_closure_eq_top theorem continuousMap_mem_polynomialFunctions_closure (a b : ℝ) (f : C(Set.Icc a b, ℝ)) : f ∈ (polynomialFunctions (Set.Icc a b)).topologicalClosure := by rw [polynomialFunctions_closure_eq_top _ _] simp #align continuous_map_mem_polynomial_functions_closure continuousMap_mem_polynomialFunctions_closure open scoped Polynomial
Mathlib/Topology/ContinuousFunction/Weierstrass.lean
99
105
theorem exists_polynomial_near_continuousMap (a b : ℝ) (f : C(Set.Icc a b, ℝ)) (ε : ℝ) (pos : 0 < ε) : ∃ p : ℝ[X], ‖p.toContinuousMapOn _ - f‖ < ε := by
have w := mem_closure_iff_frequently.mp (continuousMap_mem_polynomialFunctions_closure _ _ f) rw [Metric.nhds_basis_ball.frequently_iff] at w obtain ⟨-, H, ⟨m, ⟨-, rfl⟩⟩⟩ := w ε pos rw [Metric.mem_ball, dist_eq_norm] at H exact ⟨m, H⟩
import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Data.Finset.Basic import Mathlib.Order.Interval.Finset.Defs open Function namespace Finset class HasAntidiagonal (A : Type*) [AddMonoid A] where antidiagonal : A → Finset (A × A) mem_antidiagonal {n} {a} : a ∈ antidiagonal n ↔ a.fst + a.snd = n export HasAntidiagonal (antidiagonal mem_antidiagonal) attribute [simp] mem_antidiagonal variable {A : Type*} instance [AddMonoid A] : Subsingleton (HasAntidiagonal A) := ⟨by rintro ⟨a, ha⟩ ⟨b, hb⟩ congr with n xy rw [ha, hb]⟩ -- The goal of this lemma is to allow to rewrite antidiagonal -- when the decidability instances obsucate Lean lemma hasAntidiagonal_congr (A : Type*) [AddMonoid A] [H1 : HasAntidiagonal A] [H2 : HasAntidiagonal A] : H1.antidiagonal = H2.antidiagonal := by congr!; apply Subsingleton.elim theorem swap_mem_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} {xy : A × A}: xy.swap ∈ antidiagonal n ↔ xy ∈ antidiagonal n := by simp [add_comm] @[simp] theorem map_prodComm_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} : (antidiagonal n).map (Equiv.prodComm A A) = antidiagonal n := Finset.ext fun ⟨a, b⟩ => by simp [add_comm] @[simp] theorem map_swap_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} : (antidiagonal n).map ⟨Prod.swap, Prod.swap_injective⟩ = antidiagonal n := map_prodComm_antidiagonal #align finset.nat.map_swap_antidiagonal Finset.map_swap_antidiagonal section CanonicallyOrderedAddCommMonoid variable [CanonicallyOrderedAddCommMonoid A] [HasAntidiagonal A] @[simp] theorem antidiagonal_zero : antidiagonal (0 : A) = {(0, 0)} := by ext ⟨x, y⟩ simp theorem antidiagonal.fst_le {n : A} {kl : A × A} (hlk : kl ∈ antidiagonal n) : kl.1 ≤ n := by rw [le_iff_exists_add] use kl.2 rwa [mem_antidiagonal, eq_comm] at hlk #align finset.nat.antidiagonal.fst_le Finset.antidiagonal.fst_le
Mathlib/Data/Finset/Antidiagonal.lean
141
144
theorem antidiagonal.snd_le {n : A} {kl : A × A} (hlk : kl ∈ antidiagonal n) : kl.2 ≤ n := by
rw [le_iff_exists_add] use kl.1 rwa [mem_antidiagonal, eq_comm, add_comm] at hlk
import Mathlib.Algebra.Ring.Parity import Mathlib.Combinatorics.SimpleGraph.Connectivity #align_import combinatorics.simple_graph.trails from "leanprover-community/mathlib"@"edaaaa4a5774e6623e0ddd919b2f2db49c65add4" namespace SimpleGraph variable {V : Type*} {G : SimpleGraph V} namespace Walk abbrev IsTrail.edgesFinset {u v : V} {p : G.Walk u v} (h : p.IsTrail) : Finset (Sym2 V) := ⟨p.edges, h.edges_nodup⟩ #align simple_graph.walk.is_trail.edges_finset SimpleGraph.Walk.IsTrail.edgesFinset variable [DecidableEq V] theorem IsTrail.even_countP_edges_iff {u v : V} {p : G.Walk u v} (ht : p.IsTrail) (x : V) : Even (p.edges.countP fun e => x ∈ e) ↔ u ≠ v → x ≠ u ∧ x ≠ v := by induction' p with u u v w huv p ih · simp · rw [cons_isTrail_iff] at ht specialize ih ht.1 simp only [List.countP_cons, Ne, edges_cons, Sym2.mem_iff] split_ifs with h · rw [decide_eq_true_eq] at h obtain (rfl | rfl) := h · rw [Nat.even_add_one, ih] simp only [huv.ne, imp_false, Ne, not_false_iff, true_and_iff, not_forall, Classical.not_not, exists_prop, eq_self_iff_true, not_true, false_and_iff, and_iff_right_iff_imp] rintro rfl rfl exact G.loopless _ huv · rw [Nat.even_add_one, ih, ← not_iff_not] simp only [huv.ne.symm, Ne, eq_self_iff_true, not_true, false_and_iff, not_forall, not_false_iff, exists_prop, and_true_iff, Classical.not_not, true_and_iff, iff_and_self] rintro rfl exact huv.ne · rw [decide_eq_true_eq, not_or] at h simp only [h.1, h.2, not_false_iff, true_and_iff, add_zero, Ne] at ih ⊢ rw [ih] constructor <;> · rintro h' h'' rfl simp only [imp_false, eq_self_iff_true, not_true, Classical.not_not] at h' cases h' simp only [not_true, and_false, false_and] at h #align simple_graph.walk.is_trail.even_countp_edges_iff SimpleGraph.Walk.IsTrail.even_countP_edges_iff def IsEulerian {u v : V} (p : G.Walk u v) : Prop := ∀ e, e ∈ G.edgeSet → p.edges.count e = 1 #align simple_graph.walk.is_eulerian SimpleGraph.Walk.IsEulerian theorem IsEulerian.isTrail {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : p.IsTrail := by rw [isTrail_def, List.nodup_iff_count_le_one] intro e by_cases he : e ∈ p.edges · exact (h e (edges_subset_edgeSet _ he)).le · simp [he] #align simple_graph.walk.is_eulerian.is_trail SimpleGraph.Walk.IsEulerian.isTrail theorem IsEulerian.mem_edges_iff {u v : V} {p : G.Walk u v} (h : p.IsEulerian) {e : Sym2 V} : e ∈ p.edges ↔ e ∈ G.edgeSet := ⟨ fun h => p.edges_subset_edgeSet h , fun he => by simpa [Nat.succ_le] using (h e he).ge ⟩ #align simple_graph.walk.is_eulerian.mem_edges_iff SimpleGraph.Walk.IsEulerian.mem_edges_iff def IsEulerian.fintypeEdgeSet {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : Fintype G.edgeSet := Fintype.ofFinset h.isTrail.edgesFinset fun e => by simp only [Finset.mem_mk, Multiset.mem_coe, h.mem_edges_iff] #align simple_graph.walk.is_eulerian.fintype_edge_set SimpleGraph.Walk.IsEulerian.fintypeEdgeSet theorem IsTrail.isEulerian_of_forall_mem {u v : V} {p : G.Walk u v} (h : p.IsTrail) (hc : ∀ e, e ∈ G.edgeSet → e ∈ p.edges) : p.IsEulerian := fun e he => List.count_eq_one_of_mem h.edges_nodup (hc e he) #align simple_graph.walk.is_trail.is_eulerian_of_forall_mem SimpleGraph.Walk.IsTrail.isEulerian_of_forall_mem
Mathlib/Combinatorics/SimpleGraph/Trails.lean
119
125
theorem isEulerian_iff {u v : V} (p : G.Walk u v) : p.IsEulerian ↔ p.IsTrail ∧ ∀ e, e ∈ G.edgeSet → e ∈ p.edges := by
constructor · intro h exact ⟨h.isTrail, fun _ => h.mem_edges_iff.mpr⟩ · rintro ⟨h, hl⟩ exact h.isEulerian_of_forall_mem hl
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.StrictConvexSpace import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import analysis.convex.strict_convex_between from "leanprover-community/mathlib"@"e1730698f86560a342271c0471e4cb72d021aabf" open Metric open scoped Convex variable {V P : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] variable [StrictConvexSpace ℝ V] section PseudoMetricSpace variable [PseudoMetricSpace P] [NormedAddTorsor V P] theorem Sbtw.dist_lt_max_dist (p : P) {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : dist p₂ p < max (dist p₁ p) (dist p₃ p) := by have hp₁p₃ : p₁ -ᵥ p ≠ p₃ -ᵥ p := by simpa using h.left_ne_right rw [Sbtw, ← wbtw_vsub_const_iff p, Wbtw, affineSegment_eq_segment, ← insert_endpoints_openSegment, Set.mem_insert_iff, Set.mem_insert_iff] at h rcases h with ⟨h | h | h, hp₂p₁, hp₂p₃⟩ · rw [vsub_left_cancel_iff] at h exact False.elim (hp₂p₁ h) · rw [vsub_left_cancel_iff] at h exact False.elim (hp₂p₃ h) · rw [openSegment_eq_image, Set.mem_image] at h rcases h with ⟨r, ⟨hr0, hr1⟩, hr⟩ simp_rw [@dist_eq_norm_vsub V, ← hr] exact norm_combo_lt_of_ne (le_max_left _ _) (le_max_right _ _) hp₁p₃ (sub_pos.2 hr1) hr0 (by abel) #align sbtw.dist_lt_max_dist Sbtw.dist_lt_max_dist theorem Wbtw.dist_le_max_dist (p : P) {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : dist p₂ p ≤ max (dist p₁ p) (dist p₃ p) := by by_cases hp₁ : p₂ = p₁; · simp [hp₁] by_cases hp₃ : p₂ = p₃; · simp [hp₃] have hs : Sbtw ℝ p₁ p₂ p₃ := ⟨h, hp₁, hp₃⟩ exact (hs.dist_lt_max_dist _).le #align wbtw.dist_le_max_dist Wbtw.dist_le_max_dist theorem Collinear.wbtw_of_dist_eq_of_dist_le {p p₁ p₂ p₃ : P} {r : ℝ} (h : Collinear ℝ ({p₁, p₂, p₃} : Set P)) (hp₁ : dist p₁ p = r) (hp₂ : dist p₂ p ≤ r) (hp₃ : dist p₃ p = r) (hp₁p₃ : p₁ ≠ p₃) : Wbtw ℝ p₁ p₂ p₃ := by rcases h.wbtw_or_wbtw_or_wbtw with (hw | hw | hw) · exact hw · by_cases hp₃p₂ : p₃ = p₂ · simp [hp₃p₂] have hs : Sbtw ℝ p₂ p₃ p₁ := ⟨hw, hp₃p₂, hp₁p₃.symm⟩ have hs' := hs.dist_lt_max_dist p rw [hp₁, hp₃, lt_max_iff, lt_self_iff_false, or_false_iff] at hs' exact False.elim (hp₂.not_lt hs') · by_cases hp₁p₂ : p₁ = p₂ · simp [hp₁p₂] have hs : Sbtw ℝ p₃ p₁ p₂ := ⟨hw, hp₁p₃, hp₁p₂⟩ have hs' := hs.dist_lt_max_dist p rw [hp₁, hp₃, lt_max_iff, lt_self_iff_false, false_or_iff] at hs' exact False.elim (hp₂.not_lt hs') #align collinear.wbtw_of_dist_eq_of_dist_le Collinear.wbtw_of_dist_eq_of_dist_le
Mathlib/Analysis/Convex/StrictConvexBetween.lean
77
84
theorem Collinear.sbtw_of_dist_eq_of_dist_lt {p p₁ p₂ p₃ : P} {r : ℝ} (h : Collinear ℝ ({p₁, p₂, p₃} : Set P)) (hp₁ : dist p₁ p = r) (hp₂ : dist p₂ p < r) (hp₃ : dist p₃ p = r) (hp₁p₃ : p₁ ≠ p₃) : Sbtw ℝ p₁ p₂ p₃ := by
refine ⟨h.wbtw_of_dist_eq_of_dist_le hp₁ hp₂.le hp₃ hp₁p₃, ?_, ?_⟩ · rintro rfl exact hp₂.ne hp₁ · rintro rfl exact hp₂.ne hp₃