Context
stringlengths
57
6.04k
file_name
stringlengths
21
79
start
int64
14
1.49k
end
int64
18
1.5k
theorem
stringlengths
25
1.55k
proof
stringlengths
5
7.36k
meta_tactic_error
bool
2 classes
import Mathlib.Logic.Encodable.Lattice import Mathlib.MeasureTheory.MeasurableSpace.Defs #align_import measure_theory.pi_system from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90" open MeasurableSpace Set open scoped Classical open MeasureTheory def IsPiSystem {α} (C : Set (Set α)) : Prop := ∀ᵉ (s ∈ C) (t ∈ C), (s ∩ t : Set α).Nonempty → s ∩ t ∈ C #align is_pi_system IsPiSystem theorem IsPiSystem.singleton {α} (S : Set α) : IsPiSystem ({S} : Set (Set α)) := by intro s h_s t h_t _ rw [Set.mem_singleton_iff.1 h_s, Set.mem_singleton_iff.1 h_t, Set.inter_self, Set.mem_singleton_iff] #align is_pi_system.singleton IsPiSystem.singleton theorem IsPiSystem.insert_empty {α} {S : Set (Set α)} (h_pi : IsPiSystem S) : IsPiSystem (insert ∅ S) := by intro s hs t ht hst cases' hs with hs hs · simp [hs] · cases' ht with ht ht · simp [ht] · exact Set.mem_insert_of_mem _ (h_pi s hs t ht hst) #align is_pi_system.insert_empty IsPiSystem.insert_empty theorem IsPiSystem.insert_univ {α} {S : Set (Set α)} (h_pi : IsPiSystem S) : IsPiSystem (insert Set.univ S) := by intro s hs t ht hst cases' hs with hs hs · cases' ht with ht ht <;> simp [hs, ht] · cases' ht with ht ht · simp [hs, ht] · exact Set.mem_insert_of_mem _ (h_pi s hs t ht hst) #align is_pi_system.insert_univ IsPiSystem.insert_univ theorem IsPiSystem.comap {α β} {S : Set (Set β)} (h_pi : IsPiSystem S) (f : α → β) : IsPiSystem { s : Set α | ∃ t ∈ S, f ⁻¹' t = s } := by rintro _ ⟨s, hs_mem, rfl⟩ _ ⟨t, ht_mem, rfl⟩ hst rw [← Set.preimage_inter] at hst ⊢ exact ⟨s ∩ t, h_pi s hs_mem t ht_mem (nonempty_of_nonempty_preimage hst), rfl⟩ #align is_pi_system.comap IsPiSystem.comap theorem isPiSystem_iUnion_of_directed_le {α ι} (p : ι → Set (Set α)) (hp_pi : ∀ n, IsPiSystem (p n)) (hp_directed : Directed (· ≤ ·) p) : IsPiSystem (⋃ n, p n) := by intro t1 ht1 t2 ht2 h rw [Set.mem_iUnion] at ht1 ht2 ⊢ cases' ht1 with n ht1 cases' ht2 with m ht2 obtain ⟨k, hpnk, hpmk⟩ : ∃ k, p n ≤ p k ∧ p m ≤ p k := hp_directed n m exact ⟨k, hp_pi k t1 (hpnk ht1) t2 (hpmk ht2) h⟩ #align is_pi_system_Union_of_directed_le isPiSystem_iUnion_of_directed_le theorem isPiSystem_iUnion_of_monotone {α ι} [SemilatticeSup ι] (p : ι → Set (Set α)) (hp_pi : ∀ n, IsPiSystem (p n)) (hp_mono : Monotone p) : IsPiSystem (⋃ n, p n) := isPiSystem_iUnion_of_directed_le p hp_pi (Monotone.directed_le hp_mono) #align is_pi_system_Union_of_monotone isPiSystem_iUnion_of_monotone section Order variable {α : Type*} {ι ι' : Sort*} [LinearOrder α]
Mathlib/MeasureTheory/PiSystem.lean
132
134
theorem isPiSystem_image_Iio (s : Set α) : IsPiSystem (Iio '' s) := by
rintro _ ⟨a, ha, rfl⟩ _ ⟨b, hb, rfl⟩ - exact ⟨a ⊓ b, inf_ind a b ha hb, Iio_inter_Iio.symm⟩
false
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic #align_import measure_theory.function.conditional_expectation.indicator from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap open scoped NNReal ENNReal Topology MeasureTheory namespace MeasureTheory variable {α 𝕜 E : Type*} {m m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : Measure α} {f : α → E} {s : Set α} theorem condexp_ae_eq_restrict_zero (hs : MeasurableSet[m] s) (hf : f =ᵐ[μ.restrict s] 0) : μ[f|m] =ᵐ[μ.restrict s] 0 := by by_cases hm : m ≤ m0 swap; · simp_rw [condexp_of_not_le hm]; rfl by_cases hμm : SigmaFinite (μ.trim hm) swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; rfl haveI : SigmaFinite (μ.trim hm) := hμm have : SigmaFinite ((μ.restrict s).trim hm) := by rw [← restrict_trim hm _ hs] exact Restrict.sigmaFinite _ s by_cases hf_int : Integrable f μ swap; · rw [condexp_undef hf_int] refine ae_eq_of_forall_setIntegral_eq_of_sigmaFinite' hm ?_ ?_ ?_ ?_ ?_ · exact fun t _ _ => integrable_condexp.integrableOn.integrableOn · exact fun t _ _ => (integrable_zero _ _ _).integrableOn · intro t ht _ rw [Measure.restrict_restrict (hm _ ht), setIntegral_condexp hm hf_int (ht.inter hs), ← Measure.restrict_restrict (hm _ ht)] refine setIntegral_congr_ae (hm _ ht) ?_ filter_upwards [hf] with x hx _ using hx · exact stronglyMeasurable_condexp.aeStronglyMeasurable' · exact stronglyMeasurable_zero.aeStronglyMeasurable' #align measure_theory.condexp_ae_eq_restrict_zero MeasureTheory.condexp_ae_eq_restrict_zero theorem condexp_indicator_aux (hs : MeasurableSet[m] s) (hf : f =ᵐ[μ.restrict sᶜ] 0) : μ[s.indicator f|m] =ᵐ[μ] s.indicator (μ[f|m]) := by by_cases hm : m ≤ m0 swap; · simp_rw [condexp_of_not_le hm, Set.indicator_zero']; rfl have hsf_zero : ∀ g : α → E, g =ᵐ[μ.restrict sᶜ] 0 → s.indicator g =ᵐ[μ] g := fun g => indicator_ae_eq_of_restrict_compl_ae_eq_zero (hm _ hs) refine ((hsf_zero (μ[f|m]) (condexp_ae_eq_restrict_zero hs.compl hf)).trans ?_).symm exact condexp_congr_ae (hsf_zero f hf).symm #align measure_theory.condexp_indicator_aux MeasureTheory.condexp_indicator_aux theorem condexp_indicator (hf_int : Integrable f μ) (hs : MeasurableSet[m] s) : μ[s.indicator f|m] =ᵐ[μ] s.indicator (μ[f|m]) := by by_cases hm : m ≤ m0 swap; · simp_rw [condexp_of_not_le hm, Set.indicator_zero']; rfl by_cases hμm : SigmaFinite (μ.trim hm) swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm, Set.indicator_zero']; rfl haveI : SigmaFinite (μ.trim hm) := hμm -- use `have` to perform what should be the first calc step because of an error I don't -- understand have : s.indicator (μ[f|m]) =ᵐ[μ] s.indicator (μ[s.indicator f + sᶜ.indicator f|m]) := by rw [Set.indicator_self_add_compl s f] refine (this.trans ?_).symm calc s.indicator (μ[s.indicator f + sᶜ.indicator f|m]) =ᵐ[μ] s.indicator (μ[s.indicator f|m] + μ[sᶜ.indicator f|m]) := by have : μ[s.indicator f + sᶜ.indicator f|m] =ᵐ[μ] μ[s.indicator f|m] + μ[sᶜ.indicator f|m] := condexp_add (hf_int.indicator (hm _ hs)) (hf_int.indicator (hm _ hs.compl)) filter_upwards [this] with x hx classical rw [Set.indicator_apply, Set.indicator_apply, hx] _ = s.indicator (μ[s.indicator f|m]) + s.indicator (μ[sᶜ.indicator f|m]) := (s.indicator_add' _ _) _ =ᵐ[μ] s.indicator (μ[s.indicator f|m]) + s.indicator (sᶜ.indicator (μ[sᶜ.indicator f|m])) := by refine Filter.EventuallyEq.rfl.add ?_ have : sᶜ.indicator (μ[sᶜ.indicator f|m]) =ᵐ[μ] μ[sᶜ.indicator f|m] := by refine (condexp_indicator_aux hs.compl ?_).symm.trans ?_ · exact indicator_ae_eq_restrict_compl (hm _ hs.compl) · rw [Set.indicator_indicator, Set.inter_self] filter_upwards [this] with x hx by_cases hxs : x ∈ s · simp only [hx, hxs, Set.indicator_of_mem] · simp only [hxs, Set.indicator_of_not_mem, not_false_iff] _ =ᵐ[μ] s.indicator (μ[s.indicator f|m]) := by rw [Set.indicator_indicator, Set.inter_compl_self, Set.indicator_empty', add_zero] _ =ᵐ[μ] μ[s.indicator f|m] := by refine (condexp_indicator_aux hs ?_).symm.trans ?_ · exact indicator_ae_eq_restrict_compl (hm _ hs) · rw [Set.indicator_indicator, Set.inter_self] #align measure_theory.condexp_indicator MeasureTheory.condexp_indicator
Mathlib/MeasureTheory/Function/ConditionalExpectation/Indicator.lean
115
140
theorem condexp_restrict_ae_eq_restrict (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hs_m : MeasurableSet[m] s) (hf_int : Integrable f μ) : (μ.restrict s)[f|m] =ᵐ[μ.restrict s] μ[f|m] := by
have : SigmaFinite ((μ.restrict s).trim hm) := by rw [← restrict_trim hm _ hs_m]; infer_instance rw [ae_eq_restrict_iff_indicator_ae_eq (hm _ hs_m)] refine EventuallyEq.trans ?_ (condexp_indicator hf_int hs_m) refine ae_eq_condexp_of_forall_setIntegral_eq hm (hf_int.indicator (hm _ hs_m)) ?_ ?_ ?_ · intro t ht _ rw [← integrable_indicator_iff (hm _ ht), Set.indicator_indicator, Set.inter_comm, ← Set.indicator_indicator] suffices h_int_restrict : Integrable (t.indicator ((μ.restrict s)[f|m])) (μ.restrict s) by rw [integrable_indicator_iff (hm _ hs_m), IntegrableOn] rw [integrable_indicator_iff (hm _ ht), IntegrableOn] at h_int_restrict ⊢ exact h_int_restrict exact integrable_condexp.indicator (hm _ ht) · intro t ht _ calc ∫ x in t, s.indicator ((μ.restrict s)[f|m]) x ∂μ = ∫ x in t, ((μ.restrict s)[f|m]) x ∂μ.restrict s := by rw [integral_indicator (hm _ hs_m), Measure.restrict_restrict (hm _ hs_m), Measure.restrict_restrict (hm _ ht), Set.inter_comm] _ = ∫ x in t, f x ∂μ.restrict s := setIntegral_condexp hm hf_int.integrableOn ht _ = ∫ x in t, s.indicator f x ∂μ := by rw [integral_indicator (hm _ hs_m), Measure.restrict_restrict (hm _ hs_m), Measure.restrict_restrict (hm _ ht), Set.inter_comm] · exact (stronglyMeasurable_condexp.indicator hs_m).aeStronglyMeasurable'
true
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp] theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero] #align legendre_sym.at_zero legendreSym.at_zero @[simp] theorem at_one : legendreSym p 1 = 1 := by rw [legendreSym, Int.cast_one, MulChar.map_one] #align legendre_sym.at_one legendreSym.at_one protected theorem mul (a b : ℤ) : legendreSym p (a * b) = legendreSym p a * legendreSym p b := by simp [legendreSym, Int.cast_mul, map_mul, quadraticCharFun_mul] #align legendre_sym.mul legendreSym.mul @[simps] def hom : ℤ →*₀ ℤ where toFun := legendreSym p map_zero' := at_zero p map_one' := at_one p map_mul' := legendreSym.mul p #align legendre_sym.hom legendreSym.hom theorem sq_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a ^ 2 = 1 := quadraticChar_sq_one ha #align legendre_sym.sq_one legendreSym.sq_one theorem sq_one' {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p (a ^ 2) = 1 := by dsimp only [legendreSym] rw [Int.cast_pow] exact quadraticChar_sq_one' ha #align legendre_sym.sq_one' legendreSym.sq_one' protected theorem mod (a : ℤ) : legendreSym p a = legendreSym p (a % p) := by simp only [legendreSym, intCast_mod] #align legendre_sym.mod legendreSym.mod theorem eq_one_iff {a : ℤ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := quadraticChar_one_iff_isSquare ha0 #align legendre_sym.eq_one_iff legendreSym.eq_one_iff
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
195
199
theorem eq_one_iff' {a : ℕ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := by
rw [eq_one_iff] · norm_cast · exact mod_cast ha0
false
import Mathlib.Algebra.Algebra.Spectrum import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.Nilpotent.Basic #align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" universe u v w namespace Module namespace End open FiniteDimensional Set variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K] [AddCommGroup V] [Module K V] def eigenspace (f : End R M) (μ : R) : Submodule R M := LinearMap.ker (f - algebraMap R (End R M) μ) #align module.End.eigenspace Module.End.eigenspace @[simp] theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace] #align module.End.eigenspace_zero Module.End.eigenspace_zero def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop := x ∈ eigenspace f μ ∧ x ≠ 0 #align module.End.has_eigenvector Module.End.HasEigenvector def HasEigenvalue (f : End R M) (a : R) : Prop := eigenspace f a ≠ ⊥ #align module.End.has_eigenvalue Module.End.HasEigenvalue def Eigenvalues (f : End R M) : Type _ := { μ : R // f.HasEigenvalue μ } #align module.End.eigenvalues Module.End.Eigenvalues @[coe] def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where coe := Eigenvalues.val f instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) : DecidableEq (Eigenvalues f) := inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x))) theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) : HasEigenvalue f μ := by rw [HasEigenvalue, Submodule.ne_bot_iff] use x; exact h #align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero] #align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) : f x = μ • x := mem_eigenspace_iff.mp hx.1 #align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) : (f ^ n) v = μ ^ n • v := by induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ] theorem HasEigenvalue.exists_hasEigenvector {f : End R M} {μ : R} (hμ : f.HasEigenvalue μ) : ∃ v, f.HasEigenvector μ v := Submodule.exists_mem_ne_zero_of_ne_bot hμ #align module.End.has_eigenvalue.exists_has_eigenvector Module.End.HasEigenvalue.exists_hasEigenvector lemma HasEigenvalue.pow {f : End R M} {μ : R} (h : f.HasEigenvalue μ) (n : ℕ) : (f ^ n).HasEigenvalue (μ ^ n) := by rw [HasEigenvalue, Submodule.ne_bot_iff] obtain ⟨m : M, hm⟩ := h.exists_hasEigenvector exact ⟨m, by simpa [mem_eigenspace_iff] using hm.pow_apply n, hm.2⟩ lemma HasEigenvalue.isNilpotent_of_isNilpotent [NoZeroSMulDivisors R M] {f : End R M} (hfn : IsNilpotent f) {μ : R} (hf : f.HasEigenvalue μ) : IsNilpotent μ := by obtain ⟨m : M, hm⟩ := hf.exists_hasEigenvector obtain ⟨n : ℕ, hn : f ^ n = 0⟩ := hfn exact ⟨n, by simpa [hn, hm.2, eq_comm (a := (0 : M))] using hm.pow_apply n⟩
Mathlib/LinearAlgebra/Eigenspace/Basic.lean
138
144
theorem HasEigenvalue.mem_spectrum {f : End R M} {μ : R} (hμ : HasEigenvalue f μ) : μ ∈ spectrum R f := by
refine spectrum.mem_iff.mpr fun h_unit => ?_ set f' := LinearMap.GeneralLinearGroup.toLinearEquiv h_unit.unit rcases hμ.exists_hasEigenvector with ⟨v, hv⟩ refine hv.2 ((LinearMap.ker_eq_bot'.mp f'.ker) v (?_ : μ • v - f v = 0)) rw [hv.apply_eq_smul, sub_self]
false
import Mathlib.Algebra.Group.Commute.Basic import Mathlib.GroupTheory.GroupAction.Basic import Mathlib.Dynamics.PeriodicPts import Mathlib.Data.Set.Pointwise.SMul namespace MulAction open Pointwise variable {α : Type*} variable {G : Type*} [Group G] [MulAction G α] variable {M : Type*} [Monoid M] [MulAction M α] section FixedPoints variable (α) in @[to_additive (attr := simp) "In an additive group action, the points fixed by `g` are also fixed by `g⁻¹`"] theorem fixedBy_inv (g : G) : fixedBy α g⁻¹ = fixedBy α g := by ext rw [mem_fixedBy, mem_fixedBy, inv_smul_eq_iff, eq_comm] @[to_additive] theorem smul_mem_fixedBy_iff_mem_fixedBy {a : α} {g : G} : g • a ∈ fixedBy α g ↔ a ∈ fixedBy α g := by rw [mem_fixedBy, smul_left_cancel_iff] rfl @[to_additive]
Mathlib/GroupTheory/GroupAction/FixedPoints.lean
71
73
theorem smul_inv_mem_fixedBy_iff_mem_fixedBy {a : α} {g : G} : g⁻¹ • a ∈ fixedBy α g ↔ a ∈ fixedBy α g := by
rw [← fixedBy_inv, smul_mem_fixedBy_iff_mem_fixedBy, fixedBy_inv]
false
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.Mul import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal #align_import analysis.mean_inequalities_pow from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" universe u v open Finset open scoped Classical open NNReal ENNReal noncomputable section variable {ι : Type u} (s : Finset ι) namespace Real theorem pow_arith_mean_le_arith_mean_pow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (n : ℕ) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := (convexOn_pow n).map_sum_le hw hw' hz #align real.pow_arith_mean_le_arith_mean_pow Real.pow_arith_mean_le_arith_mean_pow theorem pow_arith_mean_le_arith_mean_pow_of_even (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) {n : ℕ} (hn : Even n) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := hn.convexOn_pow.map_sum_le hw hw' fun _ _ => Set.mem_univ _ #align real.pow_arith_mean_le_arith_mean_pow_of_even Real.pow_arith_mean_le_arith_mean_pow_of_even theorem pow_sum_div_card_le_sum_pow {f : ι → ℝ} (n : ℕ) (hf : ∀ a ∈ s, 0 ≤ f a) : (∑ x ∈ s, f x) ^ (n + 1) / (s.card : ℝ) ^ n ≤ ∑ x ∈ s, f x ^ (n + 1) := by rcases s.eq_empty_or_nonempty with (rfl | hs) · simp_rw [Finset.sum_empty, zero_pow n.succ_ne_zero, zero_div]; rfl · have hs0 : 0 < (s.card : ℝ) := Nat.cast_pos.2 hs.card_pos suffices (∑ x ∈ s, f x / s.card) ^ (n + 1) ≤ ∑ x ∈ s, f x ^ (n + 1) / s.card by rwa [← Finset.sum_div, ← Finset.sum_div, div_pow, pow_succ (s.card : ℝ), ← div_div, div_le_iff hs0, div_mul, div_self hs0.ne', div_one] at this have := @ConvexOn.map_sum_le ℝ ℝ ℝ ι _ _ _ _ _ _ (Set.Ici 0) (fun x => x ^ (n + 1)) s (fun _ => 1 / s.card) ((↑) ∘ f) (convexOn_pow (n + 1)) ?_ ?_ fun i hi => Set.mem_Ici.2 (hf i hi) · simpa only [inv_mul_eq_div, one_div, Algebra.id.smul_eq_mul] using this · simp only [one_div, inv_nonneg, Nat.cast_nonneg, imp_true_iff] · simpa only [one_div, Finset.sum_const, nsmul_eq_mul] using mul_inv_cancel hs0.ne' #align real.pow_sum_div_card_le_sum_pow Real.pow_sum_div_card_le_sum_pow theorem zpow_arith_mean_le_arith_mean_zpow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 < z i) (m : ℤ) : (∑ i ∈ s, w i * z i) ^ m ≤ ∑ i ∈ s, w i * z i ^ m := (convexOn_zpow m).map_sum_le hw hw' hz #align real.zpow_arith_mean_le_arith_mean_zpow Real.zpow_arith_mean_le_arith_mean_zpow theorem rpow_arith_mean_le_arith_mean_rpow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) {p : ℝ} (hp : 1 ≤ p) : (∑ i ∈ s, w i * z i) ^ p ≤ ∑ i ∈ s, w i * z i ^ p := (convexOn_rpow hp).map_sum_le hw hw' hz #align real.rpow_arith_mean_le_arith_mean_rpow Real.rpow_arith_mean_le_arith_mean_rpow
Mathlib/Analysis/MeanInequalitiesPow.lean
101
110
theorem arith_mean_le_rpow_mean (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) {p : ℝ} (hp : 1 ≤ p) : ∑ i ∈ s, w i * z i ≤ (∑ i ∈ s, w i * z i ^ p) ^ (1 / p) := by
have : 0 < p := by positivity rw [← rpow_le_rpow_iff _ _ this, ← rpow_mul, one_div_mul_cancel (ne_of_gt this), rpow_one] · exact rpow_arith_mean_le_arith_mean_rpow s w z hw hw' hz hp all_goals apply_rules [sum_nonneg, rpow_nonneg] intro i hi apply_rules [mul_nonneg, rpow_nonneg, hw i hi, hz i hi]
true
import Mathlib.NumberTheory.ModularForms.SlashInvariantForms import Mathlib.NumberTheory.ModularForms.CongruenceSubgroups noncomputable section open ModularForm UpperHalfPlane Matrix namespace SlashInvariantForm
Mathlib/NumberTheory/ModularForms/Identities.lean
22
32
theorem vAdd_width_periodic (N : ℕ) (k n : ℤ) (f : SlashInvariantForm (Gamma N) k) (z : ℍ) : f (((N * n) : ℝ) +ᵥ z) = f z := by
norm_cast rw [← modular_T_zpow_smul z (N * n)] have Hn := (ModularGroup_T_pow_mem_Gamma N (N * n) (by simp)) simp only [zpow_natCast, Int.natAbs_ofNat] at Hn convert (SlashInvariantForm.slash_action_eqn' k (Gamma N) f ⟨((ModularGroup.T ^ (N * n))), Hn⟩ z) unfold SpecialLinearGroup.coeToGL simp only [Fin.isValue, ModularGroup.coe_T_zpow (N * n), of_apply, cons_val', cons_val_zero, empty_val', cons_val_fin_one, cons_val_one, head_fin_const, Int.cast_zero, zero_mul, head_cons, Int.cast_one, zero_add, one_zpow, one_mul]
true
import Mathlib.Topology.Separation open Topology Filter Set TopologicalSpace section Basic variable {α : Type*} [TopologicalSpace α] {C : Set α} theorem AccPt.nhds_inter {x : α} {U : Set α} (h_acc : AccPt x (𝓟 C)) (hU : U ∈ 𝓝 x) : AccPt x (𝓟 (U ∩ C)) := by have : 𝓝[≠] x ≤ 𝓟 U := by rw [le_principal_iff] exact mem_nhdsWithin_of_mem_nhds hU rw [AccPt, ← inf_principal, ← inf_assoc, inf_of_le_left this] exact h_acc #align acc_pt.nhds_inter AccPt.nhds_inter def Preperfect (C : Set α) : Prop := ∀ x ∈ C, AccPt x (𝓟 C) #align preperfect Preperfect @[mk_iff perfect_def] structure Perfect (C : Set α) : Prop where closed : IsClosed C acc : Preperfect C #align perfect Perfect theorem preperfect_iff_nhds : Preperfect C ↔ ∀ x ∈ C, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp only [Preperfect, accPt_iff_nhds] #align preperfect_iff_nhds preperfect_iff_nhds section Kernel
Mathlib/Topology/Perfect.lean
186
218
theorem exists_countable_union_perfect_of_isClosed [SecondCountableTopology α] (hclosed : IsClosed C) : ∃ V D : Set α, V.Countable ∧ Perfect D ∧ C = V ∪ D := by
obtain ⟨b, bct, _, bbasis⟩ := TopologicalSpace.exists_countable_basis α let v := { U ∈ b | (U ∩ C).Countable } let V := ⋃ U ∈ v, U let D := C \ V have Vct : (V ∩ C).Countable := by simp only [V, iUnion_inter, mem_sep_iff] apply Countable.biUnion · exact Countable.mono inter_subset_left bct · exact inter_subset_right refine ⟨V ∩ C, D, Vct, ⟨?_, ?_⟩, ?_⟩ · refine hclosed.sdiff (isOpen_biUnion fun _ ↦ ?_) exact fun ⟨Ub, _⟩ ↦ IsTopologicalBasis.isOpen bbasis Ub · rw [preperfect_iff_nhds] intro x xD E xE have : ¬(E ∩ D).Countable := by intro h obtain ⟨U, hUb, xU, hU⟩ : ∃ U ∈ b, x ∈ U ∧ U ⊆ E := (IsTopologicalBasis.mem_nhds_iff bbasis).mp xE have hU_cnt : (U ∩ C).Countable := by apply @Countable.mono _ _ (E ∩ D ∪ V ∩ C) · rintro y ⟨yU, yC⟩ by_cases h : y ∈ V · exact mem_union_right _ (mem_inter h yC) · exact mem_union_left _ (mem_inter (hU yU) ⟨yC, h⟩) exact Countable.union h Vct have : U ∈ v := ⟨hUb, hU_cnt⟩ apply xD.2 exact mem_biUnion this xU by_contra! h exact absurd (Countable.mono h (Set.countable_singleton _)) this · rw [inter_comm, inter_union_diff]
false
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.LinearAlgebra.PiTensorProduct universe uι u𝕜 uE uF variable {ι : Type uι} [Fintype ι] variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜] variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] open scoped TensorProduct namespace PiTensorProduct def projectiveSeminormAux : FreeAddMonoid (𝕜 × Π i, E i) → ℝ := List.sum ∘ (List.map (fun p ↦ ‖p.1‖ * ∏ i, ‖p.2 i‖)) theorem projectiveSeminormAux_nonneg (p : FreeAddMonoid (𝕜 × Π i, E i)) : 0 ≤ projectiveSeminormAux p := by simp only [projectiveSeminormAux, Function.comp_apply] refine List.sum_nonneg ?_ intro a simp only [Multiset.map_coe, Multiset.mem_coe, List.mem_map, Prod.exists, forall_exists_index, and_imp] intro x m _ h rw [← h] exact mul_nonneg (norm_nonneg _) (Finset.prod_nonneg (fun _ _ ↦ norm_nonneg _))
Mathlib/Analysis/NormedSpace/PiTensorProduct/ProjectiveSeminorm.lean
66
71
theorem projectiveSeminormAux_add_le (p q : FreeAddMonoid (𝕜 × Π i, E i)) : projectiveSeminormAux (p + q) ≤ projectiveSeminormAux p + projectiveSeminormAux q := by
simp only [projectiveSeminormAux, Function.comp_apply, Multiset.map_coe, Multiset.sum_coe] erw [List.map_append] rw [List.sum_append] rfl
false
import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.InverseFunctionTheorem.FDeriv import Mathlib.LinearAlgebra.Dual #align_import analysis.calculus.lagrange_multipliers from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Topology Filter variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {f : E → F} {φ : E → ℝ} {x₀ : E} {f' : E →L[ℝ] F} {φ' : E →L[ℝ] ℝ} theorem IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : LinearMap.range (f'.prod φ') ≠ ⊤ := by intro htop set fφ := fun x => (f x, φ x) have A : map φ (𝓝[f ⁻¹' {f x₀}] x₀) = 𝓝 (φ x₀) := by change map (Prod.snd ∘ fφ) (𝓝[fφ ⁻¹' {p | p.1 = f x₀}] x₀) = 𝓝 (φ x₀) rw [← map_map, nhdsWithin, map_inf_principal_preimage, (hf'.prod hφ').map_nhds_eq_of_surj htop] exact map_snd_nhdsWithin _ exact hextr.not_nhds_le_map A.ge #align is_local_extr_on.range_ne_top_of_has_strict_fderiv_at IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt
Mathlib/Analysis/Calculus/LagrangeMultipliers.lean
60
78
theorem IsLocalExtrOn.exists_linear_map_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ (Λ : Module.Dual ℝ F) (Λ₀ : ℝ), (Λ, Λ₀) ≠ 0 ∧ ∀ x, Λ (f' x) + Λ₀ • φ' x = 0 := by
rcases Submodule.exists_le_ker_of_lt_top _ (lt_top_iff_ne_top.2 <| hextr.range_ne_top_of_hasStrictFDerivAt hf' hφ') with ⟨Λ', h0, hΛ'⟩ set e : ((F →ₗ[ℝ] ℝ) × ℝ) ≃ₗ[ℝ] F × ℝ →ₗ[ℝ] ℝ := ((LinearEquiv.refl ℝ (F →ₗ[ℝ] ℝ)).prod (LinearMap.ringLmapEquivSelf ℝ ℝ ℝ).symm).trans (LinearMap.coprodEquiv ℝ) rcases e.surjective Λ' with ⟨⟨Λ, Λ₀⟩, rfl⟩ refine ⟨Λ, Λ₀, e.map_ne_zero_iff.1 h0, fun x => ?_⟩ convert LinearMap.congr_fun (LinearMap.range_le_ker_iff.1 hΛ') x using 1 -- squeezed `simp [mul_comm]` to speed up elaboration simp only [e, smul_eq_mul, LinearEquiv.trans_apply, LinearEquiv.prod_apply, LinearEquiv.refl_apply, LinearMap.ringLmapEquivSelf_symm_apply, LinearMap.coprodEquiv_apply, ContinuousLinearMap.coe_prod, LinearMap.coprod_comp_prod, LinearMap.add_apply, LinearMap.coe_comp, ContinuousLinearMap.coe_coe, Function.comp_apply, LinearMap.coe_smulRight, LinearMap.one_apply, mul_comm]
true
import Mathlib.Data.Complex.Exponential import Mathlib.Analysis.SpecialFunctions.Log.Deriv #align_import data.complex.exponential_bounds from "leanprover-community/mathlib"@"402f8982dddc1864bd703da2d6e2ee304a866973" namespace Real open IsAbsoluteValue Finset CauSeq Complex theorem exp_one_near_10 : |exp 1 - 2244083 / 825552| ≤ 1 / 10 ^ 10 := by apply exp_approx_start iterate 13 refine exp_1_approx_succ_eq (by norm_num1; rfl) (by norm_cast) ?_ norm_num1 refine exp_approx_end' _ (by norm_num1; rfl) _ (by norm_cast) (by simp) ?_ rw [_root_.abs_one, abs_of_pos] <;> norm_num1 #align real.exp_one_near_10 Real.exp_one_near_10
Mathlib/Data/Complex/ExponentialBounds.lean
28
33
theorem exp_one_near_20 : |exp 1 - 363916618873 / 133877442384| ≤ 1 / 10 ^ 20 := by
apply exp_approx_start iterate 21 refine exp_1_approx_succ_eq (by norm_num1; rfl) (by norm_cast) ?_ norm_num1 refine exp_approx_end' _ (by norm_num1; rfl) _ (by norm_cast) (by simp) ?_ rw [_root_.abs_one, abs_of_pos] <;> norm_num1
false
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Eval import Mathlib.Algebra.Polynomial.Monic import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.Tactic.Abel #align_import ring_theory.polynomial.pochhammer from "leanprover-community/mathlib"@"53b216bcc1146df1c4a0a86877890ea9f1f01589" universe u v open Polynomial open Polynomial section Semiring variable (S : Type u) [Semiring S] noncomputable def ascPochhammer : ℕ → S[X] | 0 => 1 | n + 1 => X * (ascPochhammer n).comp (X + 1) #align pochhammer ascPochhammer @[simp] theorem ascPochhammer_zero : ascPochhammer S 0 = 1 := rfl #align pochhammer_zero ascPochhammer_zero @[simp] theorem ascPochhammer_one : ascPochhammer S 1 = X := by simp [ascPochhammer] #align pochhammer_one ascPochhammer_one theorem ascPochhammer_succ_left (n : ℕ) : ascPochhammer S (n + 1) = X * (ascPochhammer S n).comp (X + 1) := by rw [ascPochhammer] #align pochhammer_succ_left ascPochhammer_succ_left
Mathlib/RingTheory/Polynomial/Pochhammer.lean
69
76
theorem monic_ascPochhammer (n : ℕ) [Nontrivial S] [NoZeroDivisors S] : Monic <| ascPochhammer S n := by
induction' n with n hn · simp · have : leadingCoeff (X + 1 : S[X]) = 1 := leadingCoeff_X_add_C 1 rw [ascPochhammer_succ_left, Monic.def, leadingCoeff_mul, leadingCoeff_comp (ne_zero_of_eq_one <| natDegree_X_add_C 1 : natDegree (X + 1) ≠ 0), hn, monic_X, one_mul, one_mul, this, one_pow]
false
import Mathlib.Topology.Basic #align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Topology variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X} {s t s₁ s₂ t₁ t₂ : Set X} {x : X} theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] : 𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by rw [nhdsSet, ← range_diag, ← range_comp] rfl #align nhds_set_diagonal nhdsSet_diagonal theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image] #align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet] theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s := mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <| subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s` #align bUnion_mem_nhds_set bUnion_mem_nhdsSet theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds] #align subset_interior_iff_mem_nhds_set subset_interior_iff_mem_nhdsSet theorem disjoint_principal_nhdsSet : Disjoint (𝓟 s) (𝓝ˢ t) ↔ Disjoint (closure s) t := by rw [disjoint_principal_left, ← subset_interior_iff_mem_nhdsSet, interior_compl, subset_compl_iff_disjoint_left] theorem disjoint_nhdsSet_principal : Disjoint (𝓝ˢ s) (𝓟 t) ↔ Disjoint s (closure t) := by rw [disjoint_comm, disjoint_principal_nhdsSet, disjoint_comm] theorem mem_nhdsSet_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : Set X, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := by rw [← subset_interior_iff_mem_nhdsSet, subset_interior_iff] #align mem_nhds_set_iff_exists mem_nhdsSet_iff_exists theorem eventually_nhdsSet_iff_exists {p : X → Prop} : (∀ᶠ x in 𝓝ˢ s, p x) ↔ ∃ t, IsOpen t ∧ s ⊆ t ∧ ∀ x, x ∈ t → p x := mem_nhdsSet_iff_exists theorem eventually_nhdsSet_iff_forall {p : X → Prop} : (∀ᶠ x in 𝓝ˢ s, p x) ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, p y := mem_nhdsSet_iff_forall theorem hasBasis_nhdsSet (s : Set X) : (𝓝ˢ s).HasBasis (fun U => IsOpen U ∧ s ⊆ U) fun U => U := ⟨fun t => by simp [mem_nhdsSet_iff_exists, and_assoc]⟩ #align has_basis_nhds_set hasBasis_nhdsSet @[simp] lemma lift'_nhdsSet_interior (s : Set X) : (𝓝ˢ s).lift' interior = 𝓝ˢ s := (hasBasis_nhdsSet s).lift'_interior_eq_self fun _ ↦ And.left lemma Filter.HasBasis.nhdsSet_interior {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {t : Set X} (h : (𝓝ˢ t).HasBasis p s) : (𝓝ˢ t).HasBasis p (interior <| s ·) := lift'_nhdsSet_interior t ▸ h.lift'_interior theorem IsOpen.mem_nhdsSet (hU : IsOpen s) : s ∈ 𝓝ˢ t ↔ t ⊆ s := by rw [← subset_interior_iff_mem_nhdsSet, hU.interior_eq] #align is_open.mem_nhds_set IsOpen.mem_nhdsSet theorem IsOpen.mem_nhdsSet_self (ho : IsOpen s) : s ∈ 𝓝ˢ s := ho.mem_nhdsSet.mpr Subset.rfl theorem principal_le_nhdsSet : 𝓟 s ≤ 𝓝ˢ s := fun _s hs => (subset_interior_iff_mem_nhdsSet.mpr hs).trans interior_subset #align principal_le_nhds_set principal_le_nhdsSet theorem subset_of_mem_nhdsSet (h : t ∈ 𝓝ˢ s) : s ⊆ t := principal_le_nhdsSet h theorem Filter.Eventually.self_of_nhdsSet {p : X → Prop} (h : ∀ᶠ x in 𝓝ˢ s, p x) : ∀ x ∈ s, p x := principal_le_nhdsSet h nonrec theorem Filter.EventuallyEq.self_of_nhdsSet {f g : X → Y} (h : f =ᶠ[𝓝ˢ s] g) : EqOn f g s := h.self_of_nhdsSet @[simp] theorem nhdsSet_eq_principal_iff : 𝓝ˢ s = 𝓟 s ↔ IsOpen s := by rw [← principal_le_nhdsSet.le_iff_eq, le_principal_iff, mem_nhdsSet_iff_forall, isOpen_iff_mem_nhds] #align nhds_set_eq_principal_iff nhdsSet_eq_principal_iff alias ⟨_, IsOpen.nhdsSet_eq⟩ := nhdsSet_eq_principal_iff #align is_open.nhds_set_eq IsOpen.nhdsSet_eq @[simp] theorem nhdsSet_interior : 𝓝ˢ (interior s) = 𝓟 (interior s) := isOpen_interior.nhdsSet_eq #align nhds_set_interior nhdsSet_interior @[simp]
Mathlib/Topology/NhdsSet.lean
124
124
theorem nhdsSet_singleton : 𝓝ˢ {x} = 𝓝 x := by
simp [nhdsSet]
false
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.Calculus.Deriv.Polynomial import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.SpecialFunctions.PolynomialExp #align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Topology open Polynomial Real Filter Set Function open scoped Polynomial def expNegInvGlue (x : ℝ) : ℝ := if x ≤ 0 then 0 else exp (-x⁻¹) #align exp_neg_inv_glue expNegInvGlue namespace expNegInvGlue theorem zero_of_nonpos {x : ℝ} (hx : x ≤ 0) : expNegInvGlue x = 0 := by simp [expNegInvGlue, hx] #align exp_neg_inv_glue.zero_of_nonpos expNegInvGlue.zero_of_nonpos @[simp] -- Porting note (#10756): new lemma protected theorem zero : expNegInvGlue 0 = 0 := zero_of_nonpos le_rfl theorem pos_of_pos {x : ℝ} (hx : 0 < x) : 0 < expNegInvGlue x := by simp [expNegInvGlue, not_le.2 hx, exp_pos] #align exp_neg_inv_glue.pos_of_pos expNegInvGlue.pos_of_pos theorem nonneg (x : ℝ) : 0 ≤ expNegInvGlue x := by cases le_or_gt x 0 with | inl h => exact ge_of_eq (zero_of_nonpos h) | inr h => exact le_of_lt (pos_of_pos h) #align exp_neg_inv_glue.nonneg expNegInvGlue.nonneg -- Porting note (#10756): new lemma @[simp] theorem zero_iff_nonpos {x : ℝ} : expNegInvGlue x = 0 ↔ x ≤ 0 := ⟨fun h ↦ not_lt.mp fun h' ↦ (pos_of_pos h').ne' h, zero_of_nonpos⟩ #noalign exp_neg_inv_glue.P_aux #noalign exp_neg_inv_glue.f_aux #noalign exp_neg_inv_glue.f_aux_zero_eq #noalign exp_neg_inv_glue.f_aux_deriv #noalign exp_neg_inv_glue.f_aux_deriv_pos #noalign exp_neg_inv_glue.f_aux_limit #noalign exp_neg_inv_glue.f_aux_deriv_zero #noalign exp_neg_inv_glue.f_aux_has_deriv_at theorem tendsto_polynomial_inv_mul_zero (p : ℝ[X]) : Tendsto (fun x ↦ p.eval x⁻¹ * expNegInvGlue x) (𝓝 0) (𝓝 0) := by simp only [expNegInvGlue, mul_ite, mul_zero] refine tendsto_const_nhds.if ?_ simp only [not_le] have : Tendsto (fun x ↦ p.eval x⁻¹ / exp x⁻¹) (𝓝[>] 0) (𝓝 0) := p.tendsto_div_exp_atTop.comp tendsto_inv_zero_atTop refine this.congr' <| mem_of_superset self_mem_nhdsWithin fun x hx ↦ ?_ simp [expNegInvGlue, hx.out.not_le, exp_neg, div_eq_mul_inv]
Mathlib/Analysis/SpecialFunctions/SmoothTransition.lean
101
117
theorem hasDerivAt_polynomial_eval_inv_mul (p : ℝ[X]) (x : ℝ) : HasDerivAt (fun x ↦ p.eval x⁻¹ * expNegInvGlue x) ((X ^ 2 * (p - derivative (R := ℝ) p)).eval x⁻¹ * expNegInvGlue x) x := by
rcases lt_trichotomy x 0 with hx | rfl | hx · rw [zero_of_nonpos hx.le, mul_zero] refine (hasDerivAt_const _ 0).congr_of_eventuallyEq ?_ filter_upwards [gt_mem_nhds hx] with y hy rw [zero_of_nonpos hy.le, mul_zero] · rw [expNegInvGlue.zero, mul_zero, hasDerivAt_iff_tendsto_slope] refine ((tendsto_polynomial_inv_mul_zero (p * X)).mono_left inf_le_left).congr fun x ↦ ?_ simp [slope_def_field, div_eq_mul_inv, mul_right_comm] · have := ((p.hasDerivAt x⁻¹).mul (hasDerivAt_neg _).exp).comp x (hasDerivAt_inv hx.ne') convert this.congr_of_eventuallyEq _ using 1 · simp [expNegInvGlue, hx.not_le] ring · filter_upwards [lt_mem_nhds hx] with y hy simp [expNegInvGlue, hy.not_le]
false
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*} section Semigroup variable [Semigroup α] @[to_additive] instance Semigroup.to_isAssociative : Std.Associative (α := α) (· * ·) := ⟨mul_assoc⟩ #align semigroup.to_is_associative Semigroup.to_isAssociative #align add_semigroup.to_is_associative AddSemigroup.to_isAssociative @[to_additive (attr := simp) "Composing two additions on the left by `y` then `x` is equal to an addition on the left by `x + y`."]
Mathlib/Algebra/Group/Basic.lean
117
119
theorem comp_mul_left (x y : α) : (x * ·) ∘ (y * ·) = (x * y * ·) := by
ext z simp [mul_assoc]
false
import Mathlib.Tactic.NormNum.Core import Mathlib.Tactic.HaveI import Mathlib.Data.Nat.Cast.Commute import Mathlib.Algebra.Ring.Int import Mathlib.Algebra.GroupWithZero.Invertible import Mathlib.Tactic.ClearExclamation import Mathlib.Data.Nat.Cast.Basic set_option autoImplicit true namespace Mathlib open Lean hiding Rat mkRat open Meta namespace Meta.NormNum open Qq theorem IsInt.raw_refl (n : ℤ) : IsInt n n := ⟨rfl⟩ theorem isNat_zero (α) [AddMonoidWithOne α] : IsNat (Zero.zero : α) (nat_lit 0) := ⟨Nat.cast_zero.symm⟩ @[norm_num Zero.zero] def evalZero : NormNumExt where eval {u α} e := do let sα ← inferAddMonoidWithOne α match e with | ~q(Zero.zero) => return .isNat sα (mkRawNatLit 0) q(isNat_zero $α) theorem isNat_one (α) [AddMonoidWithOne α] : IsNat (One.one : α) (nat_lit 1) := ⟨Nat.cast_one.symm⟩ @[norm_num One.one] def evalOne : NormNumExt where eval {u α} e := do let sα ← inferAddMonoidWithOne α match e with | ~q(One.one) => return .isNat sα (mkRawNatLit 1) q(isNat_one $α) theorem isNat_ofNat (α : Type u_1) [AddMonoidWithOne α] {a : α} {n : ℕ} (h : n = a) : IsNat a n := ⟨h.symm⟩ @[norm_num OfNat.ofNat _] def evalOfNat : NormNumExt where eval {u α} e := do let sα ← inferAddMonoidWithOne α match e with | ~q(@OfNat.ofNat _ $n $oα) => let n : Q(ℕ) ← whnf n guard n.isRawNatLit let ⟨a, (pa : Q($n = $e))⟩ ← mkOfNat α sα n guard <|← isDefEq a e return .isNat sα n q(isNat_ofNat $α $pa) theorem isNat_intOfNat : {n n' : ℕ} → IsNat n n' → IsNat (Int.ofNat n) n' | _, _, ⟨rfl⟩ => ⟨rfl⟩ @[norm_num Int.ofNat _] def evalIntOfNat : NormNumExt where eval {u α} e := do let .app (.const ``Int.ofNat _) (n : Q(ℕ)) ← whnfR e | failure haveI' : u =QL 0 := ⟨⟩; haveI' : $α =Q Int := ⟨⟩ let sℕ : Q(AddMonoidWithOne ℕ) := q(instAddMonoidWithOneNat) let sℤ : Q(AddMonoidWithOne ℤ) := q(instAddMonoidWithOne) let ⟨n', p⟩ ← deriveNat n sℕ haveI' x : $e =Q Int.ofNat $n := ⟨⟩ return .isNat sℤ n' q(isNat_intOfNat $p) theorem isNat_natAbs_pos : {n : ℤ} → {a : ℕ} → IsNat n a → IsNat n.natAbs a | _, _, ⟨rfl⟩ => ⟨rfl⟩ theorem isNat_natAbs_neg : {n : ℤ} → {a : ℕ} → IsInt n (.negOfNat a) → IsNat n.natAbs a | _, _, ⟨rfl⟩ => ⟨by simp⟩ @[norm_num Int.natAbs (_ : ℤ)] def evalIntNatAbs : NormNumExt where eval {u α} e := do let .app (.const ``Int.natAbs _) (x : Q(ℤ)) ← whnfR e | failure haveI' : u =QL 0 := ⟨⟩; haveI' : $α =Q ℕ := ⟨⟩ haveI' : $e =Q Int.natAbs $x := ⟨⟩ let sℕ : Q(AddMonoidWithOne ℕ) := q(instAddMonoidWithOneNat) match ← derive (u := .zero) x with | .isNat _ a p => assumeInstancesCommute; return .isNat sℕ a q(isNat_natAbs_pos $p) | .isNegNat _ a p => assumeInstancesCommute; return .isNat sℕ a q(isNat_natAbs_neg $p) | _ => failure
Mathlib/Tactic/NormNum/Basic.lean
104
105
theorem isNat_natCast {R} [AddMonoidWithOne R] (n m : ℕ) : IsNat n m → IsNat (n : R) m := by
rintro ⟨⟨⟩⟩; exact ⟨rfl⟩
false
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 _ _
false
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]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
92
92
theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by
simp [volume_val]
false
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 section regionBetween variable {α : Type*} def regionBetween (f g : α → ℝ) (s : Set α) : Set (α × ℝ) := { p : α × ℝ | p.1 ∈ s ∧ p.2 ∈ Ioo (f p.1) (g p.1) } #align region_between regionBetween theorem regionBetween_subset (f g : α → ℝ) (s : Set α) : regionBetween f g s ⊆ s ×ˢ univ := by simpa only [prod_univ, regionBetween, Set.preimage, setOf_subset_setOf] using fun a => And.left #align region_between_subset regionBetween_subset variable [MeasurableSpace α] {μ : Measure α} {f g : α → ℝ} {s : Set α} theorem measurableSet_regionBetween (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet (regionBetween f g s) := by dsimp only [regionBetween, Ioo, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_lt (hf.comp measurable_fst) measurable_snd).inter (measurableSet_lt measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs #align measurable_set_region_between measurableSet_regionBetween theorem measurableSet_region_between_oc (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet { p : α × ℝ | p.fst ∈ s ∧ p.snd ∈ Ioc (f p.fst) (g p.fst) } := by dsimp only [regionBetween, Ioc, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_lt (hf.comp measurable_fst) measurable_snd).inter (measurableSet_le measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs #align measurable_set_region_between_oc measurableSet_region_between_oc theorem measurableSet_region_between_co (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet { p : α × ℝ | p.fst ∈ s ∧ p.snd ∈ Ico (f p.fst) (g p.fst) } := by dsimp only [regionBetween, Ico, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_le (hf.comp measurable_fst) measurable_snd).inter (measurableSet_lt measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs #align measurable_set_region_between_co measurableSet_region_between_co
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
494
502
theorem measurableSet_region_between_cc (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet { p : α × ℝ | p.fst ∈ s ∧ p.snd ∈ Icc (f p.fst) (g p.fst) } := by
dsimp only [regionBetween, Icc, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_le (hf.comp measurable_fst) measurable_snd).inter (measurableSet_le measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs
false
import Mathlib.LinearAlgebra.Matrix.Trace #align_import data.matrix.hadamard from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" variable {α β γ m n : Type*} variable {R : Type*} namespace Matrix open Matrix def hadamard [Mul α] (A : Matrix m n α) (B : Matrix m n α) : Matrix m n α := of fun i j => A i j * B i j #align matrix.hadamard Matrix.hadamard -- TODO: set as an equation lemma for `hadamard`, see mathlib4#3024 @[simp] theorem hadamard_apply [Mul α] (A : Matrix m n α) (B : Matrix m n α) (i j) : hadamard A B i j = A i j * B i j := rfl #align matrix.hadamard_apply Matrix.hadamard_apply scoped infixl:100 " ⊙ " => Matrix.hadamard section BasicProperties variable (A : Matrix m n α) (B : Matrix m n α) (C : Matrix m n α) -- commutativity theorem hadamard_comm [CommSemigroup α] : A ⊙ B = B ⊙ A := ext fun _ _ => mul_comm _ _ #align matrix.hadamard_comm Matrix.hadamard_comm -- associativity theorem hadamard_assoc [Semigroup α] : A ⊙ B ⊙ C = A ⊙ (B ⊙ C) := ext fun _ _ => mul_assoc _ _ _ #align matrix.hadamard_assoc Matrix.hadamard_assoc -- distributivity theorem hadamard_add [Distrib α] : A ⊙ (B + C) = A ⊙ B + A ⊙ C := ext fun _ _ => left_distrib _ _ _ #align matrix.hadamard_add Matrix.hadamard_add theorem add_hadamard [Distrib α] : (B + C) ⊙ A = B ⊙ A + C ⊙ A := ext fun _ _ => right_distrib _ _ _ #align matrix.add_hadamard Matrix.add_hadamard -- scalar multiplication section trace variable [Fintype m] [Fintype n] variable (R) [Semiring α] [Semiring R] [Module R α] theorem sum_hadamard_eq : (∑ i : m, ∑ j : n, (A ⊙ B) i j) = trace (A * Bᵀ) := rfl #align matrix.sum_hadamard_eq Matrix.sum_hadamard_eq
Mathlib/Data/Matrix/Hadamard.lean
148
151
theorem dotProduct_vecMul_hadamard [DecidableEq m] [DecidableEq n] (v : m → α) (w : n → α) : dotProduct (v ᵥ* (A ⊙ B)) w = trace (diagonal v * A * (B * diagonal w)ᵀ) := by
rw [← sum_hadamard_eq, Finset.sum_comm] simp [dotProduct, vecMul, Finset.sum_mul, mul_assoc]
true
import Mathlib.LinearAlgebra.FiniteDimensional #align_import linear_algebra.projective_space.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23" variable (K V : Type*) [DivisionRing K] [AddCommGroup V] [Module K V] def projectivizationSetoid : Setoid { v : V // v ≠ 0 } := (MulAction.orbitRel Kˣ V).comap (↑) #align projectivization_setoid projectivizationSetoid def Projectivization := Quotient (projectivizationSetoid K V) #align projectivization Projectivization scoped[LinearAlgebra.Projectivization] notation "ℙ" => Projectivization namespace Projectivization open scoped LinearAlgebra.Projectivization variable {V} def mk (v : V) (hv : v ≠ 0) : ℙ K V := Quotient.mk'' ⟨v, hv⟩ #align projectivization.mk Projectivization.mk def mk' (v : { v : V // v ≠ 0 }) : ℙ K V := Quotient.mk'' v #align projectivization.mk' Projectivization.mk' @[simp] theorem mk'_eq_mk (v : { v : V // v ≠ 0 }) : mk' K v = mk K ↑v v.2 := rfl #align projectivization.mk'_eq_mk Projectivization.mk'_eq_mk instance [Nontrivial V] : Nonempty (ℙ K V) := let ⟨v, hv⟩ := exists_ne (0 : V) ⟨mk K v hv⟩ variable {K} protected noncomputable def rep (v : ℙ K V) : V := v.out' #align projectivization.rep Projectivization.rep theorem rep_nonzero (v : ℙ K V) : v.rep ≠ 0 := v.out'.2 #align projectivization.rep_nonzero Projectivization.rep_nonzero @[simp] theorem mk_rep (v : ℙ K V) : mk K v.rep v.rep_nonzero = v := Quotient.out_eq' _ #align projectivization.mk_rep Projectivization.mk_rep open FiniteDimensional protected def submodule (v : ℙ K V) : Submodule K V := (Quotient.liftOn' v fun v => K ∙ (v : V)) <| by rintro ⟨a, ha⟩ ⟨b, hb⟩ ⟨x, rfl : x • b = a⟩ exact Submodule.span_singleton_group_smul_eq _ x _ #align projectivization.submodule Projectivization.submodule variable (K) theorem mk_eq_mk_iff (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) : mk K v hv = mk K w hw ↔ ∃ a : Kˣ, a • w = v := Quotient.eq'' #align projectivization.mk_eq_mk_iff Projectivization.mk_eq_mk_iff theorem mk_eq_mk_iff' (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) : mk K v hv = mk K w hw ↔ ∃ a : K, a • w = v := by rw [mk_eq_mk_iff K v w hv hw] constructor · rintro ⟨a, ha⟩ exact ⟨a, ha⟩ · rintro ⟨a, ha⟩ refine ⟨Units.mk0 a fun c => hv.symm ?_, ha⟩ rwa [c, zero_smul] at ha #align projectivization.mk_eq_mk_iff' Projectivization.mk_eq_mk_iff' theorem exists_smul_eq_mk_rep (v : V) (hv : v ≠ 0) : ∃ a : Kˣ, a • v = (mk K v hv).rep := (mk_eq_mk_iff K _ _ (rep_nonzero _) hv).1 (mk_rep _) #align projectivization.exists_smul_eq_mk_rep Projectivization.exists_smul_eq_mk_rep variable {K} @[elab_as_elim] theorem ind {P : ℙ K V → Prop} (h : ∀ (v : V) (h : v ≠ 0), P (mk K v h)) : ∀ p, P p := Quotient.ind' <| Subtype.rec <| h #align projectivization.ind Projectivization.ind @[simp] theorem submodule_mk (v : V) (hv : v ≠ 0) : (mk K v hv).submodule = K ∙ v := rfl #align projectivization.submodule_mk Projectivization.submodule_mk theorem submodule_eq (v : ℙ K V) : v.submodule = K ∙ v.rep := by conv_lhs => rw [← v.mk_rep] rfl #align projectivization.submodule_eq Projectivization.submodule_eq
Mathlib/LinearAlgebra/Projectivization/Basic.lean
142
144
theorem finrank_submodule (v : ℙ K V) : finrank K v.submodule = 1 := by
rw [submodule_eq] exact finrank_span_singleton v.rep_nonzero
false
import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Instances.ENNReal #align_import analysis.calculus.series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Metric TopologicalSpace Function Filter open scoped Topology NNReal variable {α β F : Type*} [NormedAddCommGroup F] [CompleteSpace F] {u : α → ℝ} theorem tendstoUniformlyOn_tsum {f : α → β → F} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop s := by refine tendstoUniformlyOn_iff.2 fun ε εpos => ?_ filter_upwards [(tendsto_order.1 (tendsto_tsum_compl_atTop_zero u)).2 _ εpos] with t ht x hx have A : Summable fun n => ‖f n x‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun n => hfu n x hx) hu rw [dist_eq_norm, ← sum_add_tsum_subtype_compl A.of_norm t, add_sub_cancel_left] apply lt_of_le_of_lt _ ht apply (norm_tsum_le_tsum_norm (A.subtype _)).trans exact tsum_le_tsum (fun n => hfu _ _ hx) (A.subtype _) (hu.subtype _) #align tendsto_uniformly_on_tsum tendstoUniformlyOn_tsum theorem tendstoUniformlyOn_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop s := fun v hv => tendsto_finset_range.eventually (tendstoUniformlyOn_tsum hu hfu v hv) #align tendsto_uniformly_on_tsum_nat tendstoUniformlyOn_tsum_nat theorem tendstoUniformly_tsum {f : α → β → F} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop := by rw [← tendstoUniformlyOn_univ]; exact tendstoUniformlyOn_tsum hu fun n x _ => hfu n x #align tendsto_uniformly_tsum tendstoUniformly_tsum theorem tendstoUniformly_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop := fun v hv => tendsto_finset_range.eventually (tendstoUniformly_tsum hu hfu v hv) #align tendsto_uniformly_tsum_nat tendstoUniformly_tsum_nat
Mathlib/Analysis/NormedSpace/FunctionSeries.lean
70
76
theorem continuousOn_tsum [TopologicalSpace β] {f : α → β → F} {s : Set β} (hf : ∀ i, ContinuousOn (f i) s) (hu : Summable u) (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : ContinuousOn (fun x => ∑' n, f n x) s := by
classical refine (tendstoUniformlyOn_tsum hu hfu).continuousOn (eventually_of_forall ?_) intro t exact continuousOn_finset_sum _ fun i _ => hf i
false
import Mathlib.Data.Nat.Choose.Central import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.Nat.Multiplicity #align_import data.nat.choose.factorization from "leanprover-community/mathlib"@"dc9db541168768af03fe228703e758e649afdbfc" namespace Nat variable {p n k : ℕ} theorem factorization_choose_le_log : (choose n k).factorization p ≤ log p n := by by_cases h : (choose n k).factorization p = 0 · simp [h] have hp : p.Prime := Not.imp_symm (choose n k).factorization_eq_zero_of_non_prime h have hkn : k ≤ n := by refine le_of_not_lt fun hnk => h ?_ simp [choose_eq_zero_of_lt hnk] rw [factorization_def _ hp, @padicValNat_def _ ⟨hp⟩ _ (choose_pos hkn)] simp only [hp.multiplicity_choose hkn (lt_add_one _), PartENat.get_natCast] exact (Finset.card_filter_le _ _).trans (le_of_eq (Nat.card_Ico _ _)) #align nat.factorization_choose_le_log Nat.factorization_choose_le_log theorem pow_factorization_choose_le (hn : 0 < n) : p ^ (choose n k).factorization p ≤ n := pow_le_of_le_log hn.ne' factorization_choose_le_log #align nat.pow_factorization_choose_le Nat.pow_factorization_choose_le theorem factorization_choose_le_one (p_large : n < p ^ 2) : (choose n k).factorization p ≤ 1 := by apply factorization_choose_le_log.trans rcases eq_or_ne n 0 with (rfl | hn0); · simp exact Nat.lt_succ_iff.1 (log_lt_of_lt_pow hn0 p_large) #align nat.factorization_choose_le_one Nat.factorization_choose_le_one
Mathlib/Data/Nat/Choose/Factorization.lean
61
88
theorem factorization_choose_of_lt_three_mul (hp' : p ≠ 2) (hk : p ≤ k) (hk' : p ≤ n - k) (hn : n < 3 * p) : (choose n k).factorization p = 0 := by
cases' em' p.Prime with hp hp · exact factorization_eq_zero_of_non_prime (choose n k) hp cases' lt_or_le n k with hnk hkn · simp [choose_eq_zero_of_lt hnk] rw [factorization_def _ hp, @padicValNat_def _ ⟨hp⟩ _ (choose_pos hkn)] simp only [hp.multiplicity_choose hkn (lt_add_one _), PartENat.get_natCast, Finset.card_eq_zero, Finset.filter_eq_empty_iff, not_le] intro i hi rcases eq_or_lt_of_le (Finset.mem_Ico.mp hi).1 with (rfl | hi) · rw [pow_one, ← add_lt_add_iff_left (2 * p), ← succ_mul, two_mul, add_add_add_comm] exact lt_of_le_of_lt (add_le_add (add_le_add_right (le_mul_of_one_le_right' ((one_le_div_iff hp.pos).mpr hk)) (k % p)) (add_le_add_right (le_mul_of_one_le_right' ((one_le_div_iff hp.pos).mpr hk')) ((n - k) % p))) (by rwa [div_add_mod, div_add_mod, add_tsub_cancel_of_le hkn]) · replace hn : n < p ^ i := by have : 3 ≤ p := lt_of_le_of_ne hp.two_le hp'.symm calc n < 3 * p := hn _ ≤ p * p := mul_le_mul_right' this p _ = p ^ 2 := (sq p).symm _ ≤ p ^ i := pow_le_pow_right hp.one_lt.le hi rwa [mod_eq_of_lt (lt_of_le_of_lt hkn hn), mod_eq_of_lt (lt_of_le_of_lt tsub_le_self hn), add_tsub_cancel_of_le hkn]
true
import Mathlib.Topology.Order #align_import topology.maps from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d" open Set Filter Function open TopologicalSpace Topology Filter variable {X : Type*} {Y : Type*} {Z : Type*} {ι : Type*} {f : X → Y} {g : Y → Z} section Inducing variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] theorem inducing_induced (f : X → Y) : @Inducing X Y (TopologicalSpace.induced f ‹_›) _ f := @Inducing.mk _ _ (TopologicalSpace.induced f ‹_›) _ _ rfl theorem inducing_id : Inducing (@id X) := ⟨induced_id.symm⟩ #align inducing_id inducing_id protected theorem Inducing.comp (hg : Inducing g) (hf : Inducing f) : Inducing (g ∘ f) := ⟨by rw [hf.induced, hg.induced, induced_compose]⟩ #align inducing.comp Inducing.comp
Mathlib/Topology/Maps.lean
69
72
theorem Inducing.of_comp_iff (hg : Inducing g) : Inducing (g ∘ f) ↔ Inducing f := by
refine ⟨fun h ↦ ?_, hg.comp⟩ rw [inducing_iff, hg.induced, induced_compose, h.induced]
false
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Data.Fintype.Basic import Mathlib.Data.Int.GCD import Mathlib.RingTheory.Coprime.Basic #align_import ring_theory.coprime.lemmas from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" universe u v section IsCoprime variable {R : Type u} {I : Type v} [CommSemiring R] {x y z : R} {s : I → R} {t : Finset I} section theorem Int.isCoprime_iff_gcd_eq_one {m n : ℤ} : IsCoprime m n ↔ Int.gcd m n = 1 := by constructor · rintro ⟨a, b, h⟩ have : 1 = m * a + n * b := by rwa [mul_comm m, mul_comm n, eq_comm] exact Nat.dvd_one.mp (Int.gcd_dvd_iff.mpr ⟨a, b, this⟩) · rw [← Int.ofNat_inj, IsCoprime, Int.gcd_eq_gcd_ab, mul_comm m, mul_comm n, Nat.cast_one] intro h exact ⟨_, _, h⟩ theorem Nat.isCoprime_iff_coprime {m n : ℕ} : IsCoprime (m : ℤ) n ↔ Nat.Coprime m n := by rw [Int.isCoprime_iff_gcd_eq_one, Int.gcd_natCast_natCast] #align nat.is_coprime_iff_coprime Nat.isCoprime_iff_coprime alias ⟨IsCoprime.nat_coprime, Nat.Coprime.isCoprime⟩ := Nat.isCoprime_iff_coprime #align is_coprime.nat_coprime IsCoprime.nat_coprime #align nat.coprime.is_coprime Nat.Coprime.isCoprime theorem Nat.Coprime.cast {R : Type*} [CommRing R] {a b : ℕ} (h : Nat.Coprime a b) : IsCoprime (a : R) (b : R) := by rw [← isCoprime_iff_coprime] at h rw [← Int.cast_natCast a, ← Int.cast_natCast b] exact IsCoprime.intCast h theorem ne_zero_or_ne_zero_of_nat_coprime {A : Type u} [CommRing A] [Nontrivial A] {a b : ℕ} (h : Nat.Coprime a b) : (a : A) ≠ 0 ∨ (b : A) ≠ 0 := IsCoprime.ne_zero_or_ne_zero (R := A) <| by simpa only [map_natCast] using IsCoprime.map (Nat.Coprime.isCoprime h) (Int.castRingHom A) theorem IsCoprime.prod_left : (∀ i ∈ t, IsCoprime (s i) x) → IsCoprime (∏ i ∈ t, s i) x := by classical refine Finset.induction_on t (fun _ ↦ isCoprime_one_left) fun b t hbt ih H ↦ ?_ rw [Finset.prod_insert hbt] rw [Finset.forall_mem_insert] at H exact H.1.mul_left (ih H.2) #align is_coprime.prod_left IsCoprime.prod_left theorem IsCoprime.prod_right : (∀ i ∈ t, IsCoprime x (s i)) → IsCoprime x (∏ i ∈ t, s i) := by simpa only [isCoprime_comm] using IsCoprime.prod_left (R := R) #align is_coprime.prod_right IsCoprime.prod_right
Mathlib/RingTheory/Coprime/Lemmas.lean
73
76
theorem IsCoprime.prod_left_iff : IsCoprime (∏ i ∈ t, s i) x ↔ ∀ i ∈ t, IsCoprime (s i) x := by
classical refine Finset.induction_on t (iff_of_true isCoprime_one_left fun _ ↦ by simp) fun b t hbt ih ↦ ?_ rw [Finset.prod_insert hbt, IsCoprime.mul_left_iff, ih, Finset.forall_mem_insert]
false
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Basic import Mathlib.RingTheory.Ideal.Maps import Mathlib.RingTheory.MvPowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Finset (antidiagonal mem_antidiagonal) def PowerSeries (R : Type*) := MvPowerSeries Unit R #align power_series PowerSeries namespace PowerSeries open Finsupp (single) variable {R : Type*} section -- Porting note: not available in Lean 4 -- local reducible PowerSeries scoped notation:9000 R "⟦X⟧" => PowerSeries R instance [Inhabited R] : Inhabited R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Zero R] : Zero R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddMonoid R] : AddMonoid R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddGroup R] : AddGroup R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddCommMonoid R] : AddCommMonoid R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddCommGroup R] : AddCommGroup R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Semiring R] : Semiring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [CommSemiring R] : CommSemiring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Ring R] : Ring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [CommRing R] : CommRing R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Nontrivial R] : Nontrivial R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R A⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S] [IsScalarTower R S A] : IsScalarTower R S A⟦X⟧ := Pi.isScalarTower instance {A} [Semiring A] [CommSemiring R] [Algebra R A] : Algebra R A⟦X⟧ := by dsimp only [PowerSeries] infer_instance end section Semiring variable (R) [Semiring R] def coeff (n : ℕ) : R⟦X⟧ →ₗ[R] R := MvPowerSeries.coeff R (single () n) #align power_series.coeff PowerSeries.coeff def monomial (n : ℕ) : R →ₗ[R] R⟦X⟧ := MvPowerSeries.monomial R (single () n) #align power_series.monomial PowerSeries.monomial variable {R} theorem coeff_def {s : Unit →₀ ℕ} {n : ℕ} (h : s () = n) : coeff R n = MvPowerSeries.coeff R s := by erw [coeff, ← h, ← Finsupp.unique_single s] #align power_series.coeff_def PowerSeries.coeff_def @[ext] theorem ext {φ ψ : R⟦X⟧} (h : ∀ n, coeff R n φ = coeff R n ψ) : φ = ψ := MvPowerSeries.ext fun n => by rw [← coeff_def] · apply h rfl #align power_series.ext PowerSeries.ext theorem ext_iff {φ ψ : R⟦X⟧} : φ = ψ ↔ ∀ n, coeff R n φ = coeff R n ψ := ⟨fun h n => congr_arg (coeff R n) h, ext⟩ #align power_series.ext_iff PowerSeries.ext_iff instance [Subsingleton R] : Subsingleton R⟦X⟧ := by simp only [subsingleton_iff, ext_iff] exact fun _ _ _ ↦ (subsingleton_iff).mp (by infer_instance) _ _ def mk {R} (f : ℕ → R) : R⟦X⟧ := fun s => f (s ()) #align power_series.mk PowerSeries.mk @[simp] theorem coeff_mk (n : ℕ) (f : ℕ → R) : coeff R n (mk f) = f n := congr_arg f Finsupp.single_eq_same #align power_series.coeff_mk PowerSeries.coeff_mk
Mathlib/RingTheory/PowerSeries/Basic.lean
181
184
theorem coeff_monomial (m n : ℕ) (a : R) : coeff R m (monomial R n a) = if m = n then a else 0 := calc coeff R m (monomial R n a) = _ := MvPowerSeries.coeff_monomial _ _ _ _ = if m = n then a else 0 := by
simp only [Finsupp.unique_single_eq_iff]
false
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Splits import Mathlib.Algebra.Squarefree.Basic import Mathlib.FieldTheory.Minpoly.Field import Mathlib.RingTheory.PowerBasis #align_import field_theory.separable from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" universe u v w open scoped Classical open Polynomial Finset namespace Polynomial section CommSemiring variable {R : Type u} [CommSemiring R] {S : Type v} [CommSemiring S] def Separable (f : R[X]) : Prop := IsCoprime f (derivative f) #align polynomial.separable Polynomial.Separable theorem separable_def (f : R[X]) : f.Separable ↔ IsCoprime f (derivative f) := Iff.rfl #align polynomial.separable_def Polynomial.separable_def theorem separable_def' (f : R[X]) : f.Separable ↔ ∃ a b : R[X], a * f + b * (derivative f) = 1 := Iff.rfl #align polynomial.separable_def' Polynomial.separable_def' theorem not_separable_zero [Nontrivial R] : ¬Separable (0 : R[X]) := by rintro ⟨x, y, h⟩ simp only [derivative_zero, mul_zero, add_zero, zero_ne_one] at h #align polynomial.not_separable_zero Polynomial.not_separable_zero theorem Separable.ne_zero [Nontrivial R] {f : R[X]} (h : f.Separable) : f ≠ 0 := (not_separable_zero <| · ▸ h) @[simp] theorem separable_one : (1 : R[X]).Separable := isCoprime_one_left #align polynomial.separable_one Polynomial.separable_one @[nontriviality] theorem separable_of_subsingleton [Subsingleton R] (f : R[X]) : f.Separable := by simp [Separable, IsCoprime, eq_iff_true_of_subsingleton] #align polynomial.separable_of_subsingleton Polynomial.separable_of_subsingleton theorem separable_X_add_C (a : R) : (X + C a).Separable := by rw [separable_def, derivative_add, derivative_X, derivative_C, add_zero] exact isCoprime_one_right set_option linter.uppercaseLean3 false in #align polynomial.separable_X_add_C Polynomial.separable_X_add_C
Mathlib/FieldTheory/Separable.lean
76
78
theorem separable_X : (X : R[X]).Separable := by
rw [separable_def, derivative_X] exact isCoprime_one_right
false
import Mathlib.FieldTheory.Finite.Basic import Mathlib.Order.Filter.Cofinite #align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb" namespace Nat def ProbablePrime (n b : ℕ) : Prop := n ∣ b ^ (n - 1) - 1 #align fermat_psp.probable_prime Nat.ProbablePrime def FermatPsp (n b : ℕ) : Prop := ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n #align fermat_psp Nat.FermatPsp instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) := Nat.decidable_dvd _ _ #align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) := And.decidable #align fermat_psp.decidable_psp Nat.decidablePsp theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) : Nat.Coprime n b := by by_cases h₃ : 2 ≤ n · -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`, -- we can derive a contradiction if `n` divides `b`. apply Nat.coprime_of_dvd -- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and -- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis. rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩ -- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a -- contradiction apply Nat.Prime.not_dvd_one hk -- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1` replace h := dvd_of_mul_right_dvd h -- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`, -- then we know `k` divides 1. rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)] -- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it -- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we -- assumed `2 ≤ n` when doing `by_cases`. refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_) omega -- If `n = 1`, then it follows trivially that `n` is coprime with `b`. · rw [show n = 1 by omega] norm_num #align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) : ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1) -- For exact mod_cast rw [Nat.ModEq.comm] constructor · intro h₁ apply Nat.modEq_of_dvd exact mod_cast h₁ · intro h₁ exact mod_cast Nat.ModEq.dvd h₁ #align fermat_psp.probable_prime_iff_modeq Nat.probablePrime_iff_modEq
Mathlib/NumberTheory/FermatPsp.lean
120
122
theorem coprime_of_fermatPsp {n b : ℕ} (h : FermatPsp n b) (h₁ : 1 ≤ b) : Nat.Coprime n b := by
rcases h with ⟨hp, _, hn₂⟩ exact coprime_of_probablePrime hp (by omega) h₁
true
import Mathlib.Algebra.Ring.Defs import Mathlib.Algebra.Group.Ext local macro:max "local_hAdd[" type:term ", " inst:term "]" : term => `(term| (letI := $inst; HAdd.hAdd : $type → $type → $type)) local macro:max "local_hMul[" type:term ", " inst:term "]" : term => `(term| (letI := $inst; HMul.hMul : $type → $type → $type)) universe u variable {R : Type u} @[ext] theorem AddMonoidWithOne.ext ⦃inst₁ inst₂ : AddMonoidWithOne R⦄ (h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂]) (h_one : (letI := inst₁; One.one : R) = (letI := inst₂; One.one : R)) : inst₁ = inst₂ := by have h_monoid : inst₁.toAddMonoid = inst₂.toAddMonoid := by ext : 1; exact h_add have h_zero' : inst₁.toZero = inst₂.toZero := congrArg (·.toZero) h_monoid have h_one' : inst₁.toOne = inst₂.toOne := congrArg One.mk h_one have h_natCast : inst₁.toNatCast.natCast = inst₂.toNatCast.natCast := by funext n; induction n with | zero => rewrite [inst₁.natCast_zero, inst₂.natCast_zero] exact congrArg (@Zero.zero R) h_zero' | succ n h => rw [inst₁.natCast_succ, inst₂.natCast_succ, h_add] exact congrArg₂ _ h h_one rcases inst₁ with @⟨⟨⟩⟩; rcases inst₂ with @⟨⟨⟩⟩ congr theorem AddCommMonoidWithOne.toAddMonoidWithOne_injective : Function.Injective (@AddCommMonoidWithOne.toAddMonoidWithOne R) := by rintro ⟨⟩ ⟨⟩ _; congr @[ext] theorem AddCommMonoidWithOne.ext ⦃inst₁ inst₂ : AddCommMonoidWithOne R⦄ (h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂]) (h_one : (letI := inst₁; One.one : R) = (letI := inst₂; One.one : R)) : inst₁ = inst₂ := AddCommMonoidWithOne.toAddMonoidWithOne_injective <| AddMonoidWithOne.ext h_add h_one @[ext] theorem AddGroupWithOne.ext ⦃inst₁ inst₂ : AddGroupWithOne R⦄ (h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂]) (h_one : (letI := inst₁; One.one : R) = (letI := inst₂; One.one)) : inst₁ = inst₂ := by have : inst₁.toAddMonoidWithOne = inst₂.toAddMonoidWithOne := AddMonoidWithOne.ext h_add h_one have : inst₁.toNatCast = inst₂.toNatCast := congrArg (·.toNatCast) this have h_group : inst₁.toAddGroup = inst₂.toAddGroup := by ext : 1; exact h_add -- Extract equality of necessary substructures from h_group injection h_group with h_group; injection h_group have : inst₁.toIntCast.intCast = inst₂.toIntCast.intCast := by funext n; cases n with | ofNat n => rewrite [Int.ofNat_eq_coe, inst₁.intCast_ofNat, inst₂.intCast_ofNat]; congr | negSucc n => rewrite [inst₁.intCast_negSucc, inst₂.intCast_negSucc]; congr rcases inst₁ with @⟨⟨⟩⟩; rcases inst₂ with @⟨⟨⟩⟩ congr @[ext] theorem AddCommGroupWithOne.ext ⦃inst₁ inst₂ : AddCommGroupWithOne R⦄ (h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂]) (h_one : (letI := inst₁; One.one : R) = (letI := inst₂; One.one)) : inst₁ = inst₂ := by have : inst₁.toAddCommGroup = inst₂.toAddCommGroup := AddCommGroup.ext h_add have : inst₁.toAddGroupWithOne = inst₂.toAddGroupWithOne := AddGroupWithOne.ext h_add h_one injection this with _ h_addMonoidWithOne; injection h_addMonoidWithOne cases inst₁; cases inst₂ congr -- At present, there is no `NonAssocCommSemiring` in Mathlib. -- At present, there is no `NonAssocCommRing` in Mathlib. namespace CommRing
Mathlib/Algebra/Ring/Ext.lean
519
520
theorem toRing_injective : Function.Injective (@toRing R) := by
rintro ⟨⟩ ⟨⟩ _; congr
false
import Mathlib.Algebra.Polynomial.Eval import Mathlib.LinearAlgebra.Dimension.Constructions #align_import algebra.linear_recurrence from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" noncomputable section open Finset open Polynomial structure LinearRecurrence (α : Type*) [CommSemiring α] where order : ℕ coeffs : Fin order → α #align linear_recurrence LinearRecurrence instance (α : Type*) [CommSemiring α] : Inhabited (LinearRecurrence α) := ⟨⟨0, default⟩⟩ namespace LinearRecurrence section CommSemiring variable {α : Type*} [CommSemiring α] (E : LinearRecurrence α) def IsSolution (u : ℕ → α) := ∀ n, u (n + E.order) = ∑ i, E.coeffs i * u (n + i) #align linear_recurrence.is_solution LinearRecurrence.IsSolution def mkSol (init : Fin E.order → α) : ℕ → α | n => if h : n < E.order then init ⟨n, h⟩ else ∑ k : Fin E.order, have _ : n - E.order + k < n := by rw [add_comm, ← add_tsub_assoc_of_le (not_lt.mp h), tsub_lt_iff_left] · exact add_lt_add_right k.is_lt n · convert add_le_add (zero_le (k : ℕ)) (not_lt.mp h) simp only [zero_add] E.coeffs k * mkSol init (n - E.order + k) #align linear_recurrence.mk_sol LinearRecurrence.mkSol theorem is_sol_mkSol (init : Fin E.order → α) : E.IsSolution (E.mkSol init) := by intro n rw [mkSol] simp #align linear_recurrence.is_sol_mk_sol LinearRecurrence.is_sol_mkSol theorem mkSol_eq_init (init : Fin E.order → α) : ∀ n : Fin E.order, E.mkSol init n = init n := by intro n rw [mkSol] simp only [n.is_lt, dif_pos, Fin.mk_val, Fin.eta] #align linear_recurrence.mk_sol_eq_init LinearRecurrence.mkSol_eq_init
Mathlib/Algebra/LinearRecurrence.lean
100
115
theorem eq_mk_of_is_sol_of_eq_init {u : ℕ → α} {init : Fin E.order → α} (h : E.IsSolution u) (heq : ∀ n : Fin E.order, u n = init n) : ∀ n, u n = E.mkSol init n := by
intro n rw [mkSol] split_ifs with h' · exact mod_cast heq ⟨n, h'⟩ simp only rw [← tsub_add_cancel_of_le (le_of_not_lt h'), h (n - E.order)] congr with k have : n - E.order + k < n := by rw [add_comm, ← add_tsub_assoc_of_le (not_lt.mp h'), tsub_lt_iff_left] · exact add_lt_add_right k.is_lt n · convert add_le_add (zero_le (k : ℕ)) (not_lt.mp h') simp only [zero_add] rw [eq_mk_of_is_sol_of_eq_init h heq (n - E.order + k)] simp
false
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.LinearAlgebra.AffineSpace.Slope #align_import analysis.calculus.deriv.slope from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open Topology Filter TopologicalSpace open Filter Set section NormedField variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜}
Mathlib/Analysis/Calculus/Deriv/Slope.lean
51
63
theorem hasDerivAtFilter_iff_tendsto_slope {x : 𝕜} {L : Filter 𝕜} : HasDerivAtFilter f f' x L ↔ Tendsto (slope f x) (L ⊓ 𝓟 {x}ᶜ) (𝓝 f') := calc HasDerivAtFilter f f' x L ↔ Tendsto (fun y ↦ slope f x y - (y - x)⁻¹ • (y - x) • f') L (𝓝 0) := by
simp only [hasDerivAtFilter_iff_tendsto, ← norm_inv, ← norm_smul, ← tendsto_zero_iff_norm_tendsto_zero, slope_def_module, smul_sub] _ ↔ Tendsto (fun y ↦ slope f x y - (y - x)⁻¹ • (y - x) • f') (L ⊓ 𝓟 {x}ᶜ) (𝓝 0) := .symm <| tendsto_inf_principal_nhds_iff_of_forall_eq <| by simp _ ↔ Tendsto (fun y ↦ slope f x y - f') (L ⊓ 𝓟 {x}ᶜ) (𝓝 0) := tendsto_congr' <| by refine (EqOn.eventuallyEq fun y hy ↦ ?_).filter_mono inf_le_right rw [inv_smul_smul₀ (sub_ne_zero.2 hy) f'] _ ↔ Tendsto (slope f x) (L ⊓ 𝓟 {x}ᶜ) (𝓝 f') := by rw [← nhds_translation_sub f', tendsto_comap_iff]; rfl
false
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition import Mathlib.LinearAlgebra.Projection import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.RingTheory.Ideal.LocalRing #align_import linear_algebra.dual from "leanprover-community/mathlib"@"b1c017582e9f18d8494e5c18602a8cb4a6f843ac" noncomputable section namespace Module -- Porting note: max u v universe issues so name and specific below universe uR uA uM uM' uM'' variable (R : Type uR) (A : Type uA) (M : Type uM) variable [CommSemiring R] [AddCommMonoid M] [Module R M] abbrev Dual := M →ₗ[R] R #align module.dual Module.Dual def dualPairing (R M) [CommSemiring R] [AddCommMonoid M] [Module R M] : Module.Dual R M →ₗ[R] M →ₗ[R] R := LinearMap.id #align module.dual_pairing Module.dualPairing @[simp] theorem dualPairing_apply (v x) : dualPairing R M v x = v x := rfl #align module.dual_pairing_apply Module.dualPairing_apply namespace Dual instance : Inhabited (Dual R M) := ⟨0⟩ def eval : M →ₗ[R] Dual R (Dual R M) := LinearMap.flip LinearMap.id #align module.dual.eval Module.Dual.eval @[simp] theorem eval_apply (v : M) (a : Dual R M) : eval R M v a = a v := rfl #align module.dual.eval_apply Module.Dual.eval_apply variable {R M} {M' : Type uM'} variable [AddCommMonoid M'] [Module R M'] def transpose : (M →ₗ[R] M') →ₗ[R] Dual R M' →ₗ[R] Dual R M := (LinearMap.llcomp R M M' R).flip #align module.dual.transpose Module.Dual.transpose -- Porting note: with reducible def need to specify some parameters to transpose explicitly theorem transpose_apply (u : M →ₗ[R] M') (l : Dual R M') : transpose (R := R) u l = l.comp u := rfl #align module.dual.transpose_apply Module.Dual.transpose_apply variable {M'' : Type uM''} [AddCommMonoid M''] [Module R M''] -- Porting note: with reducible def need to specify some parameters to transpose explicitly theorem transpose_comp (u : M' →ₗ[R] M'') (v : M →ₗ[R] M') : transpose (R := R) (u.comp v) = (transpose (R := R) v).comp (transpose (R := R) u) := rfl #align module.dual.transpose_comp Module.Dual.transpose_comp end Dual section Prod variable (M' : Type uM') [AddCommMonoid M'] [Module R M'] @[simps!] def dualProdDualEquivDual : (Module.Dual R M × Module.Dual R M') ≃ₗ[R] Module.Dual R (M × M') := LinearMap.coprodEquiv R #align module.dual_prod_dual_equiv_dual Module.dualProdDualEquivDual @[simp] theorem dualProdDualEquivDual_apply (φ : Module.Dual R M) (ψ : Module.Dual R M') : dualProdDualEquivDual R M M' (φ, ψ) = φ.coprod ψ := rfl #align module.dual_prod_dual_equiv_dual_apply Module.dualProdDualEquivDual_apply end Prod end Module namespace Basis universe u v w open Module Module.Dual Submodule LinearMap Cardinal Function universe uR uM uK uV uι variable {R : Type uR} {M : Type uM} {K : Type uK} {V : Type uV} {ι : Type uι} section CommSemiring variable [CommSemiring R] [AddCommMonoid M] [Module R M] [DecidableEq ι] variable (b : Basis ι R M) def toDual : M →ₗ[R] Module.Dual R M := b.constr ℕ fun v => b.constr ℕ fun w => if w = v then (1 : R) else 0 #align basis.to_dual Basis.toDual theorem toDual_apply (i j : ι) : b.toDual (b i) (b j) = if i = j then 1 else 0 := by erw [constr_basis b, constr_basis b] simp only [eq_comm] #align basis.to_dual_apply Basis.toDual_apply @[simp] theorem toDual_total_left (f : ι →₀ R) (i : ι) : b.toDual (Finsupp.total ι M R b f) (b i) = f i := by rw [Finsupp.total_apply, Finsupp.sum, _root_.map_sum, LinearMap.sum_apply] simp_rw [LinearMap.map_smul, LinearMap.smul_apply, toDual_apply, smul_eq_mul, mul_boole, Finset.sum_ite_eq'] split_ifs with h · rfl · rw [Finsupp.not_mem_support_iff.mp h] #align basis.to_dual_total_left Basis.toDual_total_left @[simp] theorem toDual_total_right (f : ι →₀ R) (i : ι) : b.toDual (b i) (Finsupp.total ι M R b f) = f i := by rw [Finsupp.total_apply, Finsupp.sum, _root_.map_sum] simp_rw [LinearMap.map_smul, toDual_apply, smul_eq_mul, mul_boole, Finset.sum_ite_eq] split_ifs with h · rfl · rw [Finsupp.not_mem_support_iff.mp h] #align basis.to_dual_total_right Basis.toDual_total_right
Mathlib/LinearAlgebra/Dual.lean
329
330
theorem toDual_apply_left (m : M) (i : ι) : b.toDual m (b i) = b.repr m i := by
rw [← b.toDual_total_left, b.total_repr]
false
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self
Mathlib/Algebra/AddTorsor.lean
129
130
theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by
rw [← vsub_vadd p₁ p₂, h, zero_vadd]
false
import Mathlib.CategoryTheory.Iso import Mathlib.CategoryTheory.EssentialImage import Mathlib.CategoryTheory.Types import Mathlib.CategoryTheory.Opposites import Mathlib.Data.Rel #align_import category_theory.category.Rel from "leanprover-community/mathlib"@"afad8e438d03f9d89da2914aa06cb4964ba87a18" namespace CategoryTheory universe u -- This file is about Lean 3 declaration "Rel". set_option linter.uppercaseLean3 false def RelCat := Type u #align category_theory.Rel CategoryTheory.RelCat instance RelCat.inhabited : Inhabited RelCat := by unfold RelCat; infer_instance #align category_theory.Rel.inhabited CategoryTheory.RelCat.inhabited instance rel : LargeCategory RelCat where Hom X Y := X → Y → Prop id X x y := x = y comp f g x z := ∃ y, f x y ∧ g y z #align category_theory.rel CategoryTheory.rel namespace RelCat @[ext] theorem hom_ext {X Y : RelCat} (f g : X ⟶ Y) (h : ∀ a b, f a b ↔ g a b) : f = g := funext₂ (fun a b => propext (h a b)) namespace Hom protected theorem rel_id (X : RelCat) : 𝟙 X = (· = ·) := rfl protected theorem rel_comp {X Y Z : RelCat} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = Rel.comp f g := rfl
Mathlib/CategoryTheory/Category/RelCat.lean
62
63
theorem rel_id_apply₂ (X : RelCat) (x y : X) : (𝟙 X) x y ↔ x = y := by
rw [RelCat.Hom.rel_id]
false
import Mathlib.Geometry.Manifold.MFDeriv.FDeriv noncomputable section open scoped Manifold open Bundle Set Topology section SpecificFunctions variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] [SmoothManifoldWithCorners I'' M''] variable {s : Set M} {x : M} section Prod theorem hasMFDerivAt_fst (x : M × M') : HasMFDerivAt (I.prod I') I Prod.fst x (ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by refine ⟨continuous_fst.continuousAt, ?_⟩ have : ∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x, (extChartAt I x.1 ∘ Prod.fst ∘ (extChartAt (I.prod I') x).symm) y = y.1 := by filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy rw [extChartAt_prod] at hy exact (extChartAt I x.1).right_inv hy.1 apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_fst this -- Porting note: next line was `simp only [mfld_simps]` exact (extChartAt I x.1).right_inv <| (extChartAt I x.1).map_source (mem_extChartAt_source _ _) #align has_mfderiv_at_fst hasMFDerivAt_fst theorem hasMFDerivWithinAt_fst (s : Set (M × M')) (x : M × M') : HasMFDerivWithinAt (I.prod I') I Prod.fst s x (ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := (hasMFDerivAt_fst I I' x).hasMFDerivWithinAt #align has_mfderiv_within_at_fst hasMFDerivWithinAt_fst theorem mdifferentiableAt_fst {x : M × M'} : MDifferentiableAt (I.prod I') I Prod.fst x := (hasMFDerivAt_fst I I' x).mdifferentiableAt #align mdifferentiable_at_fst mdifferentiableAt_fst theorem mdifferentiableWithinAt_fst {s : Set (M × M')} {x : M × M'} : MDifferentiableWithinAt (I.prod I') I Prod.fst s x := (mdifferentiableAt_fst I I').mdifferentiableWithinAt #align mdifferentiable_within_at_fst mdifferentiableWithinAt_fst theorem mdifferentiable_fst : MDifferentiable (I.prod I') I (Prod.fst : M × M' → M) := fun _ => mdifferentiableAt_fst I I' #align mdifferentiable_fst mdifferentiable_fst theorem mdifferentiableOn_fst {s : Set (M × M')} : MDifferentiableOn (I.prod I') I Prod.fst s := (mdifferentiable_fst I I').mdifferentiableOn #align mdifferentiable_on_fst mdifferentiableOn_fst @[simp, mfld_simps] theorem mfderiv_fst {x : M × M'} : mfderiv (I.prod I') I Prod.fst x = ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := (hasMFDerivAt_fst I I' x).mfderiv #align mfderiv_fst mfderiv_fst theorem mfderivWithin_fst {s : Set (M × M')} {x : M × M'} (hxs : UniqueMDiffWithinAt (I.prod I') s x) : mfderivWithin (I.prod I') I Prod.fst s x = ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := by rw [MDifferentiable.mfderivWithin (mdifferentiableAt_fst I I') hxs]; exact mfderiv_fst I I' #align mfderiv_within_fst mfderivWithin_fst @[simp, mfld_simps] theorem tangentMap_prod_fst {p : TangentBundle (I.prod I') (M × M')} : tangentMap (I.prod I') I Prod.fst p = ⟨p.proj.1, p.2.1⟩ := by -- Porting note: `rfl` wasn't needed simp [tangentMap]; rfl #align tangent_map_prod_fst tangentMap_prod_fst theorem tangentMapWithin_prod_fst {s : Set (M × M')} {p : TangentBundle (I.prod I') (M × M')} (hs : UniqueMDiffWithinAt (I.prod I') s p.proj) : tangentMapWithin (I.prod I') I Prod.fst s p = ⟨p.proj.1, p.2.1⟩ := by simp only [tangentMapWithin] rw [mfderivWithin_fst] · rcases p with ⟨⟩; rfl · exact hs #align tangent_map_within_prod_fst tangentMapWithin_prod_fst
Mathlib/Geometry/Manifold/MFDeriv/SpecificFunctions.lean
300
316
theorem hasMFDerivAt_snd (x : M × M') : HasMFDerivAt (I.prod I') I' Prod.snd x (ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by
refine ⟨continuous_snd.continuousAt, ?_⟩ have : ∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x, (extChartAt I' x.2 ∘ Prod.snd ∘ (extChartAt (I.prod I') x).symm) y = y.2 := by /- porting note: was apply Filter.mem_of_superset (extChartAt_target_mem_nhdsWithin (I.prod I') x) mfld_set_tac -/ filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy rw [extChartAt_prod] at hy exact (extChartAt I' x.2).right_inv hy.2 apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_snd this -- Porting note: the next line was `simp only [mfld_simps]` exact (extChartAt I' x.2).right_inv <| (extChartAt I' x.2).map_source (mem_extChartAt_source _ _)
false
import Mathlib.Algebra.Algebra.Spectrum import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.Nilpotent.Basic #align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" universe u v w namespace Module namespace End open FiniteDimensional Set variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K] [AddCommGroup V] [Module K V] def eigenspace (f : End R M) (μ : R) : Submodule R M := LinearMap.ker (f - algebraMap R (End R M) μ) #align module.End.eigenspace Module.End.eigenspace @[simp] theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace] #align module.End.eigenspace_zero Module.End.eigenspace_zero def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop := x ∈ eigenspace f μ ∧ x ≠ 0 #align module.End.has_eigenvector Module.End.HasEigenvector def HasEigenvalue (f : End R M) (a : R) : Prop := eigenspace f a ≠ ⊥ #align module.End.has_eigenvalue Module.End.HasEigenvalue def Eigenvalues (f : End R M) : Type _ := { μ : R // f.HasEigenvalue μ } #align module.End.eigenvalues Module.End.Eigenvalues @[coe] def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where coe := Eigenvalues.val f instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) : DecidableEq (Eigenvalues f) := inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x)))
Mathlib/LinearAlgebra/Eigenspace/Basic.lean
98
101
theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) : HasEigenvalue f μ := by
rw [HasEigenvalue, Submodule.ne_bot_iff] use x; exact h
false
import Mathlib.Analysis.Calculus.FDeriv.Linear import Mathlib.Analysis.Calculus.FDeriv.Comp #align_import analysis.calculus.fderiv.prod from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" open Filter Asymptotics ContinuousLinearMap Set Metric open scoped Classical open Topology NNReal Filter Asymptotics ENNReal noncomputable section section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E} section CartesianProduct section Pi variable {ι : Type*} [Fintype ι] {F' : ι → Type*} [∀ i, NormedAddCommGroup (F' i)] [∀ i, NormedSpace 𝕜 (F' i)] {φ : ∀ i, E → F' i} {φ' : ∀ i, E →L[𝕜] F' i} {Φ : E → ∀ i, F' i} {Φ' : E →L[𝕜] ∀ i, F' i} @[simp] theorem hasStrictFDerivAt_pi' : HasStrictFDerivAt Φ Φ' x ↔ ∀ i, HasStrictFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x := by simp only [HasStrictFDerivAt, ContinuousLinearMap.coe_pi] exact isLittleO_pi #align has_strict_fderiv_at_pi' hasStrictFDerivAt_pi' @[fun_prop] theorem hasStrictFDerivAt_pi'' (hφ : ∀ i, HasStrictFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x) : HasStrictFDerivAt Φ Φ' x := hasStrictFDerivAt_pi'.2 hφ @[fun_prop] theorem hasStrictFDerivAt_apply (i : ι) (f : ∀ i, F' i) : HasStrictFDerivAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) f := by let id' := ContinuousLinearMap.id 𝕜 (∀ i, F' i) have h := ((hasStrictFDerivAt_pi' (Φ := fun (f : ∀ i, F' i) (i' : ι) => f i') (Φ':=id') (x:=f))).1 have h' : comp (proj i) id' = proj i := by rfl rw [← h']; apply h; apply hasStrictFDerivAt_id @[simp 1100] -- Porting note: increased priority to make lint happy theorem hasStrictFDerivAt_pi : HasStrictFDerivAt (fun x i => φ i x) (ContinuousLinearMap.pi φ') x ↔ ∀ i, HasStrictFDerivAt (φ i) (φ' i) x := hasStrictFDerivAt_pi' #align has_strict_fderiv_at_pi hasStrictFDerivAt_pi @[simp] theorem hasFDerivAtFilter_pi' : HasFDerivAtFilter Φ Φ' x L ↔ ∀ i, HasFDerivAtFilter (fun x => Φ x i) ((proj i).comp Φ') x L := by simp only [hasFDerivAtFilter_iff_isLittleO, ContinuousLinearMap.coe_pi] exact isLittleO_pi #align has_fderiv_at_filter_pi' hasFDerivAtFilter_pi' theorem hasFDerivAtFilter_pi : HasFDerivAtFilter (fun x i => φ i x) (ContinuousLinearMap.pi φ') x L ↔ ∀ i, HasFDerivAtFilter (φ i) (φ' i) x L := hasFDerivAtFilter_pi' #align has_fderiv_at_filter_pi hasFDerivAtFilter_pi @[simp] theorem hasFDerivAt_pi' : HasFDerivAt Φ Φ' x ↔ ∀ i, HasFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x := hasFDerivAtFilter_pi' #align has_fderiv_at_pi' hasFDerivAt_pi' @[fun_prop] theorem hasFDerivAt_pi'' (hφ : ∀ i, HasFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x) : HasFDerivAt Φ Φ' x := hasFDerivAt_pi'.2 hφ @[fun_prop] theorem hasFDerivAt_apply (i : ι) (f : ∀ i, F' i) : HasFDerivAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) f := by apply HasStrictFDerivAt.hasFDerivAt apply hasStrictFDerivAt_apply theorem hasFDerivAt_pi : HasFDerivAt (fun x i => φ i x) (ContinuousLinearMap.pi φ') x ↔ ∀ i, HasFDerivAt (φ i) (φ' i) x := hasFDerivAtFilter_pi #align has_fderiv_at_pi hasFDerivAt_pi @[simp] theorem hasFDerivWithinAt_pi' : HasFDerivWithinAt Φ Φ' s x ↔ ∀ i, HasFDerivWithinAt (fun x => Φ x i) ((proj i).comp Φ') s x := hasFDerivAtFilter_pi' #align has_fderiv_within_at_pi' hasFDerivWithinAt_pi' @[fun_prop] theorem hasFDerivWithinAt_pi'' (hφ : ∀ i, HasFDerivWithinAt (fun x => Φ x i) ((proj i).comp Φ') s x) : HasFDerivWithinAt Φ Φ' s x := hasFDerivWithinAt_pi'.2 hφ @[fun_prop]
Mathlib/Analysis/Calculus/FDeriv/Prod.lean
474
480
theorem hasFDerivWithinAt_apply (i : ι) (f : ∀ i, F' i) (s' : Set (∀ i, F' i)) : HasFDerivWithinAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) s' f := by
let id' := ContinuousLinearMap.id 𝕜 (∀ i, F' i) have h := ((hasFDerivWithinAt_pi' (Φ := fun (f : ∀ i, F' i) (i' : ι) => f i') (Φ':=id') (x:=f) (s:=s'))).1 have h' : comp (proj i) id' = proj i := by rfl rw [← h']; apply h; apply hasFDerivWithinAt_id
false
import Mathlib.Data.ENat.Lattice import Mathlib.Order.OrderIsoNat import Mathlib.Tactic.TFAE #align_import order.height from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b" open List hiding le_antisymm open OrderDual universe u v variable {α β : Type*} namespace Set section LT variable [LT α] [LT β] (s t : Set α) def subchain : Set (List α) := { l | l.Chain' (· < ·) ∧ ∀ i ∈ l, i ∈ s } #align set.subchain Set.subchain @[simp] -- porting note: new `simp` theorem nil_mem_subchain : [] ∈ s.subchain := ⟨trivial, fun _ ↦ nofun⟩ #align set.nil_mem_subchain Set.nil_mem_subchain variable {s} {l : List α} {a : α} theorem cons_mem_subchain_iff : (a::l) ∈ s.subchain ↔ a ∈ s ∧ l ∈ s.subchain ∧ ∀ b ∈ l.head?, a < b := by simp only [subchain, mem_setOf_eq, forall_mem_cons, chain'_cons', and_left_comm, and_comm, and_assoc] #align set.cons_mem_subchain_iff Set.cons_mem_subchain_iff @[simp] -- Porting note (#10756): new lemma + `simp` theorem singleton_mem_subchain_iff : [a] ∈ s.subchain ↔ a ∈ s := by simp [cons_mem_subchain_iff] instance : Nonempty s.subchain := ⟨⟨[], s.nil_mem_subchain⟩⟩ variable (s) noncomputable def chainHeight : ℕ∞ := ⨆ l ∈ s.subchain, length l #align set.chain_height Set.chainHeight theorem chainHeight_eq_iSup_subtype : s.chainHeight = ⨆ l : s.subchain, ↑l.1.length := iSup_subtype' #align set.chain_height_eq_supr_subtype Set.chainHeight_eq_iSup_subtype
Mathlib/Order/Height.lean
93
106
theorem exists_chain_of_le_chainHeight {n : ℕ} (hn : ↑n ≤ s.chainHeight) : ∃ l ∈ s.subchain, length l = n := by
rcases (le_top : s.chainHeight ≤ ⊤).eq_or_lt with ha | ha <;> rw [chainHeight_eq_iSup_subtype] at ha · obtain ⟨_, ⟨⟨l, h₁, h₂⟩, rfl⟩, h₃⟩ := not_bddAbove_iff'.mp (WithTop.iSup_coe_eq_top.1 ha) n exact ⟨l.take n, ⟨h₁.take _, fun x h ↦ h₂ _ <| take_subset _ _ h⟩, (l.length_take n).trans <| min_eq_left <| le_of_not_ge h₃⟩ · rw [ENat.iSup_coe_lt_top] at ha obtain ⟨⟨l, h₁, h₂⟩, e : l.length = _⟩ := Nat.sSup_mem (Set.range_nonempty _) ha refine ⟨l.take n, ⟨h₁.take _, fun x h ↦ h₂ _ <| take_subset _ _ h⟩, (l.length_take n).trans <| min_eq_left <| ?_⟩ rwa [e, ← Nat.cast_le (α := ℕ∞), sSup_range, ENat.coe_iSup ha, ← chainHeight_eq_iSup_subtype]
false
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Range #align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" assert_not_exists MonoidWithZero universe u v open Function namespace List variable {α : Type u} {β : Type v} section FoldrIdx -- Porting note: Changed argument order of `foldrIdxSpec` to align better with `foldrIdx`. def foldrIdxSpec (f : ℕ → α → β → β) (b : β) (as : List α) (start : ℕ) : β := foldr (uncurry f) b <| enumFrom start as #align list.foldr_with_index_aux_spec List.foldrIdxSpecₓ theorem foldrIdxSpec_cons (f : ℕ → α → β → β) (b a as start) : foldrIdxSpec f b (a :: as) start = f start a (foldrIdxSpec f b as (start + 1)) := rfl #align list.foldr_with_index_aux_spec_cons List.foldrIdxSpec_consₓ
Mathlib/Data/List/Indexes.lean
246
250
theorem foldrIdx_eq_foldrIdxSpec (f : ℕ → α → β → β) (b as start) : foldrIdx f b as start = foldrIdxSpec f b as start := by
induction as generalizing start · rfl · simp only [foldrIdx, foldrIdxSpec_cons, *]
false
import Mathlib.RingTheory.Nilpotent.Basic import Mathlib.RingTheory.UniqueFactorizationDomain #align_import algebra.squarefree from "leanprover-community/mathlib"@"00d163e35035c3577c1c79fa53b68de17781ffc1" variable {R : Type*} def Squarefree [Monoid R] (r : R) : Prop := ∀ x : R, x * x ∣ r → IsUnit x #align squarefree Squarefree theorem IsRelPrime.of_squarefree_mul [CommMonoid R] {m n : R} (h : Squarefree (m * n)) : IsRelPrime m n := fun c hca hcb ↦ h c (mul_dvd_mul hca hcb) @[simp] theorem IsUnit.squarefree [CommMonoid R] {x : R} (h : IsUnit x) : Squarefree x := fun _ hdvd => isUnit_of_mul_isUnit_left (isUnit_of_dvd_unit hdvd h) #align is_unit.squarefree IsUnit.squarefree -- @[simp] -- Porting note (#10618): simp can prove this theorem squarefree_one [CommMonoid R] : Squarefree (1 : R) := isUnit_one.squarefree #align squarefree_one squarefree_one @[simp] theorem not_squarefree_zero [MonoidWithZero R] [Nontrivial R] : ¬Squarefree (0 : R) := by erw [not_forall] exact ⟨0, by simp⟩ #align not_squarefree_zero not_squarefree_zero theorem Squarefree.ne_zero [MonoidWithZero R] [Nontrivial R] {m : R} (hm : Squarefree (m : R)) : m ≠ 0 := by rintro rfl exact not_squarefree_zero hm #align squarefree.ne_zero Squarefree.ne_zero @[simp] theorem Irreducible.squarefree [CommMonoid R] {x : R} (h : Irreducible x) : Squarefree x := by rintro y ⟨z, hz⟩ rw [mul_assoc] at hz rcases h.isUnit_or_isUnit hz with (hu | hu) · exact hu · apply isUnit_of_mul_isUnit_left hu #align irreducible.squarefree Irreducible.squarefree @[simp] theorem Prime.squarefree [CancelCommMonoidWithZero R] {x : R} (h : Prime x) : Squarefree x := h.irreducible.squarefree #align prime.squarefree Prime.squarefree theorem Squarefree.of_mul_left [CommMonoid R] {m n : R} (hmn : Squarefree (m * n)) : Squarefree m := fun p hp => hmn p (dvd_mul_of_dvd_left hp n) #align squarefree.of_mul_left Squarefree.of_mul_left theorem Squarefree.of_mul_right [CommMonoid R] {m n : R} (hmn : Squarefree (m * n)) : Squarefree n := fun p hp => hmn p (dvd_mul_of_dvd_right hp m) #align squarefree.of_mul_right Squarefree.of_mul_right theorem Squarefree.squarefree_of_dvd [CommMonoid R] {x y : R} (hdvd : x ∣ y) (hsq : Squarefree y) : Squarefree x := fun _ h => hsq _ (h.trans hdvd) #align squarefree.squarefree_of_dvd Squarefree.squarefree_of_dvd theorem Squarefree.eq_zero_or_one_of_pow_of_not_isUnit [CommMonoid R] {x : R} {n : ℕ} (h : Squarefree (x ^ n)) (h' : ¬ IsUnit x) : n = 0 ∨ n = 1 := by contrapose! h' replace h' : 2 ≤ n := by omega have : x * x ∣ x ^ n := by rw [← sq]; exact pow_dvd_pow x h' exact h.squarefree_of_dvd this x (refl _) namespace multiplicity section CommMonoid variable [CommMonoid R] [DecidableRel (Dvd.dvd : R → R → Prop)]
Mathlib/Algebra/Squarefree/Basic.lean
120
126
theorem squarefree_iff_multiplicity_le_one (r : R) : Squarefree r ↔ ∀ x : R, multiplicity x r ≤ 1 ∨ IsUnit x := by
refine forall_congr' fun a => ?_ rw [← sq, pow_dvd_iff_le_multiplicity, or_iff_not_imp_left, not_le, imp_congr _ Iff.rfl] norm_cast rw [← one_add_one_eq_two] simpa using PartENat.add_one_le_iff_lt (PartENat.natCast_ne_top 1)
false
import Mathlib.Algebra.Algebra.Subalgebra.Directed import Mathlib.FieldTheory.IntermediateField import Mathlib.FieldTheory.Separable import Mathlib.FieldTheory.SplittingField.IsSplittingField import Mathlib.RingTheory.TensorProduct.Basic #align_import field_theory.adjoin from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87" set_option autoImplicit true open FiniteDimensional Polynomial open scoped Classical Polynomial namespace IntermediateField section AdjoinDef variable (F : Type*) [Field F] {E : Type*} [Field E] [Algebra F E] (S : Set E) -- Porting note: not adding `neg_mem'` causes an error. def adjoin : IntermediateField F E := { Subfield.closure (Set.range (algebraMap F E) ∪ S) with algebraMap_mem' := fun x => Subfield.subset_closure (Or.inl (Set.mem_range_self x)) } #align intermediate_field.adjoin IntermediateField.adjoin variable {S}
Mathlib/FieldTheory/Adjoin.lean
54
60
theorem mem_adjoin_iff (x : E) : x ∈ adjoin F S ↔ ∃ r s : MvPolynomial S F, x = MvPolynomial.aeval Subtype.val r / MvPolynomial.aeval Subtype.val s := by
simp only [adjoin, mem_mk, Subring.mem_toSubsemiring, Subfield.mem_toSubring, Subfield.mem_closure_iff, ← Algebra.adjoin_eq_ring_closure, Subalgebra.mem_toSubring, Algebra.adjoin_eq_range, AlgHom.mem_range, exists_exists_eq_and] tauto
false
import Mathlib.Computability.Halting import Mathlib.Computability.TuringMachine import Mathlib.Data.Num.Lemmas import Mathlib.Tactic.DeriveFintype #align_import computability.tm_to_partrec from "leanprover-community/mathlib"@"6155d4351090a6fad236e3d2e4e0e4e7342668e8" open Function (update) open Relation namespace Turing namespace ToPartrec inductive Code | zero' | succ | tail | cons : Code → Code → Code | comp : Code → Code → Code | case : Code → Code → Code | fix : Code → Code deriving DecidableEq, Inhabited #align turing.to_partrec.code Turing.ToPartrec.Code #align turing.to_partrec.code.zero' Turing.ToPartrec.Code.zero' #align turing.to_partrec.code.succ Turing.ToPartrec.Code.succ #align turing.to_partrec.code.tail Turing.ToPartrec.Code.tail #align turing.to_partrec.code.cons Turing.ToPartrec.Code.cons #align turing.to_partrec.code.comp Turing.ToPartrec.Code.comp #align turing.to_partrec.code.case Turing.ToPartrec.Code.case #align turing.to_partrec.code.fix Turing.ToPartrec.Code.fix def Code.eval : Code → List ℕ →. List ℕ | Code.zero' => fun v => pure (0 :: v) | Code.succ => fun v => pure [v.headI.succ] | Code.tail => fun v => pure v.tail | Code.cons f fs => fun v => do let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) | Code.comp f g => fun v => g.eval v >>= f.eval | Code.case f g => fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) | Code.fix f => PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail #align turing.to_partrec.code.eval Turing.ToPartrec.Code.eval namespace Code @[simp] theorem zero'_eval : zero'.eval = fun v => pure (0 :: v) := by simp [eval] @[simp] theorem succ_eval : succ.eval = fun v => pure [v.headI.succ] := by simp [eval] @[simp] theorem tail_eval : tail.eval = fun v => pure v.tail := by simp [eval] @[simp] theorem cons_eval (f fs) : (cons f fs).eval = fun v => do { let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) } := by simp [eval] @[simp] theorem comp_eval (f g) : (comp f g).eval = fun v => g.eval v >>= f.eval := by simp [eval] @[simp] theorem case_eval (f g) : (case f g).eval = fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) := by simp [eval] @[simp] theorem fix_eval (f) : (fix f).eval = PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail := by simp [eval] def nil : Code := tail.comp succ #align turing.to_partrec.code.nil Turing.ToPartrec.Code.nil @[simp] theorem nil_eval (v) : nil.eval v = pure [] := by simp [nil] #align turing.to_partrec.code.nil_eval Turing.ToPartrec.Code.nil_eval def id : Code := tail.comp zero' #align turing.to_partrec.code.id Turing.ToPartrec.Code.id @[simp] theorem id_eval (v) : id.eval v = pure v := by simp [id] #align turing.to_partrec.code.id_eval Turing.ToPartrec.Code.id_eval def head : Code := cons id nil #align turing.to_partrec.code.head Turing.ToPartrec.Code.head @[simp] theorem head_eval (v) : head.eval v = pure [v.headI] := by simp [head] #align turing.to_partrec.code.head_eval Turing.ToPartrec.Code.head_eval def zero : Code := cons zero' nil #align turing.to_partrec.code.zero Turing.ToPartrec.Code.zero @[simp] theorem zero_eval (v) : zero.eval v = pure [0] := by simp [zero] #align turing.to_partrec.code.zero_eval Turing.ToPartrec.Code.zero_eval def pred : Code := case zero head #align turing.to_partrec.code.pred Turing.ToPartrec.Code.pred @[simp] theorem pred_eval (v) : pred.eval v = pure [v.headI.pred] := by simp [pred]; cases v.headI <;> simp #align turing.to_partrec.code.pred_eval Turing.ToPartrec.Code.pred_eval def rfind (f : Code) : Code := comp pred <| comp (fix <| cons f <| cons succ tail) zero' #align turing.to_partrec.code.rfind Turing.ToPartrec.Code.rfind def prec (f g : Code) : Code := let G := cons tail <| cons succ <| cons (comp pred tail) <| cons (comp g <| cons id <| comp tail tail) <| comp tail <| comp tail tail let F := case id <| comp (comp (comp tail tail) (fix G)) zero' cons (comp F (cons head <| cons (comp f tail) tail)) nil #align turing.to_partrec.code.prec Turing.ToPartrec.Code.prec attribute [-simp] Part.bind_eq_bind Part.map_eq_map Part.pure_eq_some
Mathlib/Computability/TMToPartrec.lean
264
282
theorem exists_code.comp {m n} {f : Vector ℕ n →. ℕ} {g : Fin n → Vector ℕ m →. ℕ} (hf : ∃ c : Code, ∀ v : Vector ℕ n, c.eval v.1 = pure <$> f v) (hg : ∀ i, ∃ c : Code, ∀ v : Vector ℕ m, c.eval v.1 = pure <$> g i v) : ∃ c : Code, ∀ v : Vector ℕ m, c.eval v.1 = pure <$> ((Vector.mOfFn fun i => g i v) >>= f) := by
rsuffices ⟨cg, hg⟩ : ∃ c : Code, ∀ v : Vector ℕ m, c.eval v.1 = Subtype.val <$> Vector.mOfFn fun i => g i v · obtain ⟨cf, hf⟩ := hf exact ⟨cf.comp cg, fun v => by simp [hg, hf, map_bind, seq_bind_eq, Function.comp] rfl⟩ clear hf f; induction' n with n IH · exact ⟨nil, fun v => by simp [Vector.mOfFn, Bind.bind]; rfl⟩ · obtain ⟨cg, hg₁⟩ := hg 0 obtain ⟨cl, hl⟩ := IH fun i => hg i.succ exact ⟨cons cg cl, fun v => by simp [Vector.mOfFn, hg₁, map_bind, seq_bind_eq, bind_assoc, (· ∘ ·), hl] rfl⟩
true
import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.Algebra.Module.Torsion #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' u₁' w w' variable {R S : Type u} {M : Type v} {M' : Type v'} {M₁ : Type v} variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*} open Cardinal Basis Submodule Function Set FiniteDimensional DirectSum variable [Ring R] [CommRing S] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁] variable [Module R M] [Module R M'] [Module R M₁] section Finsupp variable (R M M') variable [StrongRankCondition R] [Module.Free R M] [Module.Free R M'] open Module.Free @[simp]
Mathlib/LinearAlgebra/Dimension/Constructions.lean
164
168
theorem rank_finsupp (ι : Type w) : Module.rank R (ι →₀ M) = Cardinal.lift.{v} #ι * Cardinal.lift.{w} (Module.rank R M) := by
obtain ⟨⟨_, bs⟩⟩ := Module.Free.exists_basis (R := R) (M := M) rw [← bs.mk_eq_rank'', ← (Finsupp.basis fun _ : ι => bs).mk_eq_rank'', Cardinal.mk_sigma, Cardinal.sum_const]
false
import Mathlib.Analysis.Convex.Basic import Mathlib.Order.Closure #align_import analysis.convex.hull from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set open Pointwise variable {𝕜 E F : Type*} section convexHull section OrderedSemiring variable [OrderedSemiring 𝕜] section AddCommMonoid variable (𝕜) variable [AddCommMonoid E] [AddCommMonoid F] [Module 𝕜 E] [Module 𝕜 F] @[simps! isClosed] def convexHull : ClosureOperator (Set E) := .ofCompletePred (Convex 𝕜) fun _ ↦ convex_sInter #align convex_hull convexHull variable (s : Set E) theorem subset_convexHull : s ⊆ convexHull 𝕜 s := (convexHull 𝕜).le_closure s #align subset_convex_hull subset_convexHull theorem convex_convexHull : Convex 𝕜 (convexHull 𝕜 s) := (convexHull 𝕜).isClosed_closure s #align convex_convex_hull convex_convexHull theorem convexHull_eq_iInter : convexHull 𝕜 s = ⋂ (t : Set E) (_ : s ⊆ t) (_ : Convex 𝕜 t), t := by simp [convexHull, iInter_subtype, iInter_and] #align convex_hull_eq_Inter convexHull_eq_iInter variable {𝕜 s} {t : Set E} {x y : E} theorem mem_convexHull_iff : x ∈ convexHull 𝕜 s ↔ ∀ t, s ⊆ t → Convex 𝕜 t → x ∈ t := by simp_rw [convexHull_eq_iInter, mem_iInter] #align mem_convex_hull_iff mem_convexHull_iff theorem convexHull_min : s ⊆ t → Convex 𝕜 t → convexHull 𝕜 s ⊆ t := (convexHull 𝕜).closure_min #align convex_hull_min convexHull_min theorem Convex.convexHull_subset_iff (ht : Convex 𝕜 t) : convexHull 𝕜 s ⊆ t ↔ s ⊆ t := (show (convexHull 𝕜).IsClosed t from ht).closure_le_iff #align convex.convex_hull_subset_iff Convex.convexHull_subset_iff @[mono] theorem convexHull_mono (hst : s ⊆ t) : convexHull 𝕜 s ⊆ convexHull 𝕜 t := (convexHull 𝕜).monotone hst #align convex_hull_mono convexHull_mono lemma convexHull_eq_self : convexHull 𝕜 s = s ↔ Convex 𝕜 s := (convexHull 𝕜).isClosed_iff.symm alias ⟨_, Convex.convexHull_eq⟩ := convexHull_eq_self #align convex.convex_hull_eq Convex.convexHull_eq @[simp] theorem convexHull_univ : convexHull 𝕜 (univ : Set E) = univ := ClosureOperator.closure_top (convexHull 𝕜) #align convex_hull_univ convexHull_univ @[simp] theorem convexHull_empty : convexHull 𝕜 (∅ : Set E) = ∅ := convex_empty.convexHull_eq #align convex_hull_empty convexHull_empty @[simp] theorem convexHull_empty_iff : convexHull 𝕜 s = ∅ ↔ s = ∅ := by constructor · intro h rw [← Set.subset_empty_iff, ← h] exact subset_convexHull 𝕜 _ · rintro rfl exact convexHull_empty #align convex_hull_empty_iff convexHull_empty_iff @[simp] theorem convexHull_nonempty_iff : (convexHull 𝕜 s).Nonempty ↔ s.Nonempty := by rw [nonempty_iff_ne_empty, nonempty_iff_ne_empty, Ne, Ne] exact not_congr convexHull_empty_iff #align convex_hull_nonempty_iff convexHull_nonempty_iff protected alias ⟨_, Set.Nonempty.convexHull⟩ := convexHull_nonempty_iff #align set.nonempty.convex_hull Set.Nonempty.convexHull theorem segment_subset_convexHull (hx : x ∈ s) (hy : y ∈ s) : segment 𝕜 x y ⊆ convexHull 𝕜 s := (convex_convexHull _ _).segment_subset (subset_convexHull _ _ hx) (subset_convexHull _ _ hy) #align segment_subset_convex_hull segment_subset_convexHull @[simp] theorem convexHull_singleton (x : E) : convexHull 𝕜 ({x} : Set E) = {x} := (convex_singleton x).convexHull_eq #align convex_hull_singleton convexHull_singleton @[simp] theorem convexHull_zero : convexHull 𝕜 (0 : Set E) = 0 := convexHull_singleton 0 #align convex_hull_zero convexHull_zero @[simp] theorem convexHull_pair (x y : E) : convexHull 𝕜 {x, y} = segment 𝕜 x y := by refine (convexHull_min ?_ <| convex_segment _ _).antisymm (segment_subset_convexHull (mem_insert _ _) <| subset_insert _ _ <| mem_singleton _) rw [insert_subset_iff, singleton_subset_iff] exact ⟨left_mem_segment _ _ _, right_mem_segment _ _ _⟩ #align convex_hull_pair convexHull_pair theorem convexHull_convexHull_union_left (s t : Set E) : convexHull 𝕜 (convexHull 𝕜 s ∪ t) = convexHull 𝕜 (s ∪ t) := ClosureOperator.closure_sup_closure_left _ _ _ #align convex_hull_convex_hull_union_left convexHull_convexHull_union_left theorem convexHull_convexHull_union_right (s t : Set E) : convexHull 𝕜 (s ∪ convexHull 𝕜 t) = convexHull 𝕜 (s ∪ t) := ClosureOperator.closure_sup_closure_right _ _ _ #align convex_hull_convex_hull_union_right convexHull_convexHull_union_right
Mathlib/Analysis/Convex/Hull.lean
144
158
theorem Convex.convex_remove_iff_not_mem_convexHull_remove {s : Set E} (hs : Convex 𝕜 s) (x : E) : Convex 𝕜 (s \ {x}) ↔ x ∉ convexHull 𝕜 (s \ {x}) := by
constructor · rintro hsx hx rw [hsx.convexHull_eq] at hx exact hx.2 (mem_singleton _) rintro hx suffices h : s \ {x} = convexHull 𝕜 (s \ {x}) by rw [h] exact convex_convexHull 𝕜 _ exact Subset.antisymm (subset_convexHull 𝕜 _) fun y hy => ⟨convexHull_min diff_subset hs hy, by rintro (rfl : y = x) exact hx hy⟩
true
import Batteries.Control.ForInStep.Lemmas import Batteries.Data.List.Basic import Batteries.Tactic.Init import Batteries.Tactic.Alias namespace List open Nat @[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by simp [Array.mem_def] @[simp] theorem drop_one : ∀ l : List α, drop 1 l = tail l | [] | _ :: _ => rfl theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by rw [← drop_one]; simp [zipWith_distrib_drop] theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl @[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun @[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ := fun _ i => h₂ (h₁ i) instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem := ⟨fun h₁ h₂ => h₂ h₁⟩ instance : Trans (Subset : List α → List α → Prop) Subset Subset := ⟨Subset.trans⟩ @[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _ theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ := fun s _ i => s (mem_cons_of_mem _ i) theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ := fun s _ i => .tail _ (s i) theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ := fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _) @[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _ @[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _ theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ := fun s => Subset.trans s <| subset_append_left _ _ theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ := fun s => Subset.trans s <| subset_append_right _ _ @[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq] @[simp] theorem append_subset {l₁ l₂ l : List α} : l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and] theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] := ⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩ theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ := fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _) @[simp] theorem nil_sublist : ∀ l : List α, [] <+ l | [] => .slnil | a :: l => (nil_sublist l).cons a @[simp] theorem Sublist.refl : ∀ l : List α, l <+ l | [] => .slnil | a :: l => (Sublist.refl l).cons₂ a
.lake/packages/batteries/Batteries/Data/List/Lemmas.lean
91
100
theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by
induction h₂ generalizing l₁ with | slnil => exact h₁ | cons _ _ IH => exact (IH h₁).cons _ | @cons₂ l₂ _ a _ IH => generalize e : a :: l₂ = l₂' match e ▸ h₁ with | .slnil => apply nil_sublist | .cons a' h₁' => cases e; apply (IH h₁').cons | .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂
false
import Mathlib.Algebra.Ring.Semiconj import Mathlib.Algebra.Ring.Units import Mathlib.Algebra.Group.Commute.Defs import Mathlib.Data.Bracket #align_import algebra.ring.commute from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" universe u v w x variable {α : Type u} {β : Type v} {γ : Type w} {R : Type x} open Function namespace Commute @[simp] theorem add_right [Distrib R] {a b c : R} : Commute a b → Commute a c → Commute a (b + c) := SemiconjBy.add_right #align commute.add_right Commute.add_rightₓ -- for some reason mathport expected `Semiring` instead of `Distrib`? @[simp] theorem add_left [Distrib R] {a b c : R} : Commute a c → Commute b c → Commute (a + b) c := SemiconjBy.add_left #align commute.add_left Commute.add_leftₓ -- for some reason mathport expected `Semiring` instead of `Distrib`? theorem mul_self_sub_mul_self_eq [NonUnitalNonAssocRing R] {a b : R} (h : Commute a b) : a * a - b * b = (a + b) * (a - b) := by rw [add_mul, mul_sub, mul_sub, h.eq, sub_add_sub_cancel] #align commute.mul_self_sub_mul_self_eq Commute.mul_self_sub_mul_self_eq theorem mul_self_sub_mul_self_eq' [NonUnitalNonAssocRing R] {a b : R} (h : Commute a b) : a * a - b * b = (a - b) * (a + b) := by rw [mul_add, sub_mul, sub_mul, h.eq, sub_add_sub_cancel] #align commute.mul_self_sub_mul_self_eq' Commute.mul_self_sub_mul_self_eq'
Mathlib/Algebra/Ring/Commute.lean
82
85
theorem mul_self_eq_mul_self_iff [NonUnitalNonAssocRing R] [NoZeroDivisors R] {a b : R} (h : Commute a b) : a * a = b * b ↔ a = b ∨ a = -b := by
rw [← sub_eq_zero, h.mul_self_sub_mul_self_eq, mul_eq_zero, or_comm, sub_eq_zero, add_eq_zero_iff_eq_neg]
false
import Mathlib.Algebra.Associated import Mathlib.Algebra.Ring.Int #align_import data.int.associated from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
Mathlib/Data/Int/Associated.lean
21
30
theorem Int.natAbs_eq_iff_associated {a b : ℤ} : a.natAbs = b.natAbs ↔ Associated a b := by
refine Int.natAbs_eq_natAbs_iff.trans ?_ constructor · rintro (rfl | rfl) · rfl · exact ⟨-1, by simp⟩ · rintro ⟨u, rfl⟩ obtain rfl | rfl := Int.units_eq_one_or u · exact Or.inl (by simp) · exact Or.inr (by simp)
false
import Mathlib.Algebra.Polynomial.Basic import Mathlib.FieldTheory.IsAlgClosed.Basic #align_import linear_algebra.matrix.charpoly.eigs from "leanprover-community/mathlib"@"48dc6abe71248bd6f4bffc9703dc87bdd4e37d0b" variable {n : Type*} [Fintype n] [DecidableEq n] variable {R : Type*} [Field R] variable {A : Matrix n n R} open Matrix Polynomial open scoped Matrix namespace Matrix theorem det_eq_prod_roots_charpoly_of_splits (hAps : A.charpoly.Splits (RingHom.id R)) : A.det = (Matrix.charpoly A).roots.prod := by rw [det_eq_sign_charpoly_coeff, ← charpoly_natDegree_eq_dim A, Polynomial.prod_roots_eq_coeff_zero_of_monic_of_split A.charpoly_monic hAps, ← mul_assoc, ← pow_two, pow_right_comm, neg_one_sq, one_pow, one_mul] #align matrix.det_eq_prod_roots_charpoly_of_splits Matrix.det_eq_prod_roots_charpoly_of_splits
Mathlib/LinearAlgebra/Matrix/Charpoly/Eigs.lean
67
75
theorem trace_eq_sum_roots_charpoly_of_splits (hAps : A.charpoly.Splits (RingHom.id R)) : A.trace = (Matrix.charpoly A).roots.sum := by
cases' isEmpty_or_nonempty n with h · rw [Matrix.trace, Fintype.sum_empty, Matrix.charpoly, det_eq_one_of_card_eq_zero (Fintype.card_eq_zero_iff.2 h), Polynomial.roots_one, Multiset.empty_eq_zero, Multiset.sum_zero] · rw [trace_eq_neg_charpoly_coeff, neg_eq_iff_eq_neg, ← Polynomial.sum_roots_eq_nextCoeff_of_monic_of_split A.charpoly_monic hAps, nextCoeff, charpoly_natDegree_eq_dim, if_neg (Fintype.card_ne_zero : Fintype.card n ≠ 0)]
false
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.CharZero.Lemmas import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.Choose.Central import Mathlib.Data.Tree.Basic import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.GCongr import Mathlib.Tactic.Positivity #align_import combinatorics.catalan from "leanprover-community/mathlib"@"26b40791e4a5772a4e53d0e28e4df092119dc7da" open Finset open Finset.antidiagonal (fst_le snd_le) def catalan : ℕ → ℕ | 0 => 1 | n + 1 => ∑ i : Fin n.succ, catalan i * catalan (n - i) #align catalan catalan @[simp] theorem catalan_zero : catalan 0 = 1 := by rw [catalan] #align catalan_zero catalan_zero
Mathlib/Combinatorics/Enumerative/Catalan.lean
68
69
theorem catalan_succ (n : ℕ) : catalan (n + 1) = ∑ i : Fin n.succ, catalan i * catalan (n - i) := by
rw [catalan]
false
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 section CommSemigroup variable [CommSemigroup G] @[to_additive] theorem mul_left_comm : ∀ a b c : G, a * (b * c) = b * (a * c) := left_comm Mul.mul mul_comm mul_assoc #align mul_left_comm mul_left_comm #align add_left_comm add_left_comm @[to_additive] theorem mul_right_comm : ∀ a b c : G, a * b * c = a * c * b := right_comm Mul.mul mul_comm mul_assoc #align mul_right_comm mul_right_comm #align add_right_comm add_right_comm @[to_additive] theorem mul_mul_mul_comm (a b c d : G) : a * b * (c * d) = a * c * (b * d) := by simp only [mul_left_comm, mul_assoc] #align mul_mul_mul_comm mul_mul_mul_comm #align add_add_add_comm add_add_add_comm @[to_additive] theorem mul_rotate (a b c : G) : a * b * c = b * c * a := by simp only [mul_left_comm, mul_comm] #align mul_rotate mul_rotate #align add_rotate add_rotate @[to_additive]
Mathlib/Algebra/Group/Basic.lean
208
209
theorem mul_rotate' (a b c : G) : a * (b * c) = b * (c * a) := by
simp only [mul_left_comm, mul_comm]
true
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective
Mathlib/Analysis/Convex/Independent.lean
82
86
theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by
intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image])
false
import Mathlib.RingTheory.FiniteType #align_import ring_theory.rees_algebra from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v variable {R M : Type u} [CommRing R] [AddCommGroup M] [Module R M] (I : Ideal R) open Polynomial open Polynomial def reesAlgebra : Subalgebra R R[X] where carrier := { f | ∀ i, f.coeff i ∈ I ^ i } mul_mem' hf hg i := by rw [coeff_mul] apply Ideal.sum_mem rintro ⟨j, k⟩ e rw [← Finset.mem_antidiagonal.mp e, pow_add] exact Ideal.mul_mem_mul (hf j) (hg k) one_mem' i := by rw [coeff_one] split_ifs with h · subst h simp · simp add_mem' hf hg i := by rw [coeff_add] exact Ideal.add_mem _ (hf i) (hg i) zero_mem' i := Ideal.zero_mem _ algebraMap_mem' r i := by rw [algebraMap_apply, coeff_C] split_ifs with h · subst h simp · simp #align rees_algebra reesAlgebra theorem mem_reesAlgebra_iff (f : R[X]) : f ∈ reesAlgebra I ↔ ∀ i, f.coeff i ∈ I ^ i := Iff.rfl #align mem_rees_algebra_iff mem_reesAlgebra_iff theorem mem_reesAlgebra_iff_support (f : R[X]) : f ∈ reesAlgebra I ↔ ∀ i ∈ f.support, f.coeff i ∈ I ^ i := by apply forall_congr' intro a rw [mem_support_iff, Iff.comm, Classical.imp_iff_right_iff, Ne, ← imp_iff_not_or] exact fun e => e.symm ▸ (I ^ a).zero_mem #align mem_rees_algebra_iff_support mem_reesAlgebra_iff_support
Mathlib/RingTheory/ReesAlgebra.lean
76
79
theorem reesAlgebra.monomial_mem {I : Ideal R} {i : ℕ} {r : R} : monomial i r ∈ reesAlgebra I ↔ r ∈ I ^ i := by
simp (config := { contextual := true }) [mem_reesAlgebra_iff_support, coeff_monomial, ← imp_iff_not_or]
false
import Mathlib.RingTheory.PowerSeries.Trunc import Mathlib.RingTheory.PowerSeries.Inverse import Mathlib.RingTheory.Derivation.Basic namespace PowerSeries open Polynomial Derivation Nat section CommutativeSemiring variable {R} [CommSemiring R] noncomputable def derivativeFun (f : R⟦X⟧) : R⟦X⟧ := mk fun n ↦ coeff R (n + 1) f * (n + 1) theorem coeff_derivativeFun (f : R⟦X⟧) (n : ℕ) : coeff R n f.derivativeFun = coeff R (n + 1) f * (n + 1) := by rw [derivativeFun, coeff_mk] theorem derivativeFun_coe (f : R[X]) : (f : R⟦X⟧).derivativeFun = derivative f := by ext rw [coeff_derivativeFun, coeff_coe, coeff_coe, coeff_derivative]
Mathlib/RingTheory/PowerSeries/Derivative.lean
49
53
theorem derivativeFun_add (f g : R⟦X⟧) : derivativeFun (f + g) = derivativeFun f + derivativeFun g := by
ext rw [coeff_derivativeFun, map_add, map_add, coeff_derivativeFun, coeff_derivativeFun, add_mul]
false
import Mathlib.Algebra.GroupWithZero.Hom import Mathlib.Algebra.GroupWithZero.Units.Basic import Mathlib.Algebra.Ring.Defs import Mathlib.Data.Nat.Lattice #align_import ring_theory.nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff" universe u v open Function Set variable {R S : Type*} {x y : R} def IsNilpotent [Zero R] [Pow R ℕ] (x : R) : Prop := ∃ n : ℕ, x ^ n = 0 #align is_nilpotent IsNilpotent theorem IsNilpotent.mk [Zero R] [Pow R ℕ] (x : R) (n : ℕ) (e : x ^ n = 0) : IsNilpotent x := ⟨n, e⟩ #align is_nilpotent.mk IsNilpotent.mk @[simp] lemma isNilpotent_of_subsingleton [Zero R] [Pow R ℕ] [Subsingleton R] : IsNilpotent x := ⟨0, Subsingleton.elim _ _⟩ @[simp] theorem IsNilpotent.zero [MonoidWithZero R] : IsNilpotent (0 : R) := ⟨1, pow_one 0⟩ #align is_nilpotent.zero IsNilpotent.zero theorem not_isNilpotent_one [MonoidWithZero R] [Nontrivial R] : ¬ IsNilpotent (1 : R) := fun ⟨_, H⟩ ↦ zero_ne_one (H.symm.trans (one_pow _)) lemma IsNilpotent.pow_succ (n : ℕ) {S : Type*} [MonoidWithZero S] {x : S} (hx : IsNilpotent x) : IsNilpotent (x ^ n.succ) := by obtain ⟨N,hN⟩ := hx use N rw [← pow_mul, Nat.succ_mul, pow_add, hN, mul_zero] theorem IsNilpotent.of_pow [MonoidWithZero R] {x : R} {m : ℕ} (h : IsNilpotent (x ^ m)) : IsNilpotent x := by obtain ⟨n, h⟩ := h use m*n rw [← h, pow_mul x m n] lemma IsNilpotent.pow_of_pos {n} {S : Type*} [MonoidWithZero S] {x : S} (hx : IsNilpotent x) (hn : n ≠ 0) : IsNilpotent (x ^ n) := by cases n with | zero => contradiction | succ => exact IsNilpotent.pow_succ _ hx @[simp] lemma IsNilpotent.pow_iff_pos {n} {S : Type*} [MonoidWithZero S] {x : S} (hn : n ≠ 0) : IsNilpotent (x ^ n) ↔ IsNilpotent x := ⟨fun h => of_pow h, fun h => pow_of_pos h hn⟩ theorem IsNilpotent.map [MonoidWithZero R] [MonoidWithZero S] {r : R} {F : Type*} [FunLike F R S] [MonoidWithZeroHomClass F R S] (hr : IsNilpotent r) (f : F) : IsNilpotent (f r) := by use hr.choose rw [← map_pow, hr.choose_spec, map_zero] #align is_nilpotent.map IsNilpotent.map lemma IsNilpotent.map_iff [MonoidWithZero R] [MonoidWithZero S] {r : R} {F : Type*} [FunLike F R S] [MonoidWithZeroHomClass F R S] {f : F} (hf : Function.Injective f) : IsNilpotent (f r) ↔ IsNilpotent r := ⟨fun ⟨k, hk⟩ ↦ ⟨k, (map_eq_zero_iff f hf).mp <| by rwa [map_pow]⟩, fun h ↦ h.map f⟩ theorem IsUnit.isNilpotent_mul_unit_of_commute_iff [MonoidWithZero R] {r u : R} (hu : IsUnit u) (h_comm : Commute r u) : IsNilpotent (r * u) ↔ IsNilpotent r := exists_congr fun n ↦ by rw [h_comm.mul_pow, (hu.pow n).mul_left_eq_zero] theorem IsUnit.isNilpotent_unit_mul_of_commute_iff [MonoidWithZero R] {r u : R} (hu : IsUnit u) (h_comm : Commute r u) : IsNilpotent (u * r) ↔ IsNilpotent r := h_comm ▸ hu.isNilpotent_mul_unit_of_commute_iff h_comm section NilpotencyClass @[mk_iff] class IsReduced (R : Type*) [Zero R] [Pow R ℕ] : Prop where eq_zero : ∀ x : R, IsNilpotent x → x = 0 #align is_reduced IsReduced instance (priority := 900) isReduced_of_noZeroDivisors [MonoidWithZero R] [NoZeroDivisors R] : IsReduced R := ⟨fun _ ⟨_, hn⟩ => pow_eq_zero hn⟩ #align is_reduced_of_no_zero_divisors isReduced_of_noZeroDivisors instance (priority := 900) isReduced_of_subsingleton [Zero R] [Pow R ℕ] [Subsingleton R] : IsReduced R := ⟨fun _ _ => Subsingleton.elim _ _⟩ #align is_reduced_of_subsingleton isReduced_of_subsingleton theorem IsNilpotent.eq_zero [Zero R] [Pow R ℕ] [IsReduced R] (h : IsNilpotent x) : x = 0 := IsReduced.eq_zero x h #align is_nilpotent.eq_zero IsNilpotent.eq_zero @[simp] theorem isNilpotent_iff_eq_zero [MonoidWithZero R] [IsReduced R] : IsNilpotent x ↔ x = 0 := ⟨fun h => h.eq_zero, fun h => h.symm ▸ IsNilpotent.zero⟩ #align is_nilpotent_iff_eq_zero isNilpotent_iff_eq_zero
Mathlib/RingTheory/Nilpotent/Defs.lean
197
205
theorem isReduced_of_injective [MonoidWithZero R] [MonoidWithZero S] {F : Type*} [FunLike F R S] [MonoidWithZeroHomClass F R S] (f : F) (hf : Function.Injective f) [IsReduced S] : IsReduced R := by
constructor intro x hx apply hf rw [map_zero] exact (hx.map f).eq_zero
false
import Mathlib.Analysis.Calculus.Deriv.Pow import Mathlib.Analysis.Calculus.Deriv.Inv #align_import analysis.calculus.deriv.zpow from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter open Filter Asymptotics Set variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {E : Type v} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {x : 𝕜} variable {s : Set 𝕜} variable {m : ℤ} theorem hasStrictDerivAt_zpow (m : ℤ) (x : 𝕜) (h : x ≠ 0 ∨ 0 ≤ m) : HasStrictDerivAt (fun x => x ^ m) ((m : 𝕜) * x ^ (m - 1)) x := by have : ∀ m : ℤ, 0 < m → HasStrictDerivAt (· ^ m) ((m : 𝕜) * x ^ (m - 1)) x := fun m hm ↦ by lift m to ℕ using hm.le simp only [zpow_natCast, Int.cast_natCast] convert hasStrictDerivAt_pow m x using 2 rw [← Int.ofNat_one, ← Int.ofNat_sub, zpow_natCast] norm_cast at hm rcases lt_trichotomy m 0 with (hm | hm | hm) · have hx : x ≠ 0 := h.resolve_right hm.not_le have := (hasStrictDerivAt_inv ?_).scomp _ (this (-m) (neg_pos.2 hm)) <;> [skip; exact zpow_ne_zero _ hx] simp only [(· ∘ ·), zpow_neg, one_div, inv_inv, smul_eq_mul] at this convert this using 1 rw [sq, mul_inv, inv_inv, Int.cast_neg, neg_mul, neg_mul_neg, ← zpow_add₀ hx, mul_assoc, ← zpow_add₀ hx] congr abel · simp only [hm, zpow_zero, Int.cast_zero, zero_mul, hasStrictDerivAt_const] · exact this m hm #align has_strict_deriv_at_zpow hasStrictDerivAt_zpow theorem hasDerivAt_zpow (m : ℤ) (x : 𝕜) (h : x ≠ 0 ∨ 0 ≤ m) : HasDerivAt (fun x => x ^ m) ((m : 𝕜) * x ^ (m - 1)) x := (hasStrictDerivAt_zpow m x h).hasDerivAt #align has_deriv_at_zpow hasDerivAt_zpow theorem hasDerivWithinAt_zpow (m : ℤ) (x : 𝕜) (h : x ≠ 0 ∨ 0 ≤ m) (s : Set 𝕜) : HasDerivWithinAt (fun x => x ^ m) ((m : 𝕜) * x ^ (m - 1)) s x := (hasDerivAt_zpow m x h).hasDerivWithinAt #align has_deriv_within_at_zpow hasDerivWithinAt_zpow theorem differentiableAt_zpow : DifferentiableAt 𝕜 (fun x => x ^ m) x ↔ x ≠ 0 ∨ 0 ≤ m := ⟨fun H => NormedField.continuousAt_zpow.1 H.continuousAt, fun H => (hasDerivAt_zpow m x H).differentiableAt⟩ #align differentiable_at_zpow differentiableAt_zpow theorem differentiableWithinAt_zpow (m : ℤ) (x : 𝕜) (h : x ≠ 0 ∨ 0 ≤ m) : DifferentiableWithinAt 𝕜 (fun x => x ^ m) s x := (differentiableAt_zpow.mpr h).differentiableWithinAt #align differentiable_within_at_zpow differentiableWithinAt_zpow theorem differentiableOn_zpow (m : ℤ) (s : Set 𝕜) (h : (0 : 𝕜) ∉ s ∨ 0 ≤ m) : DifferentiableOn 𝕜 (fun x => x ^ m) s := fun x hxs => differentiableWithinAt_zpow m x <| h.imp_left <| ne_of_mem_of_not_mem hxs #align differentiable_on_zpow differentiableOn_zpow theorem deriv_zpow (m : ℤ) (x : 𝕜) : deriv (fun x => x ^ m) x = m * x ^ (m - 1) := by by_cases H : x ≠ 0 ∨ 0 ≤ m · exact (hasDerivAt_zpow m x H).deriv · rw [deriv_zero_of_not_differentiableAt (mt differentiableAt_zpow.1 H)] push_neg at H rcases H with ⟨rfl, hm⟩ rw [zero_zpow _ ((sub_one_lt _).trans hm).ne, mul_zero] #align deriv_zpow deriv_zpow @[simp] theorem deriv_zpow' (m : ℤ) : (deriv fun x : 𝕜 => x ^ m) = fun x => (m : 𝕜) * x ^ (m - 1) := funext <| deriv_zpow m #align deriv_zpow' deriv_zpow' theorem derivWithin_zpow (hxs : UniqueDiffWithinAt 𝕜 s x) (h : x ≠ 0 ∨ 0 ≤ m) : derivWithin (fun x => x ^ m) s x = (m : 𝕜) * x ^ (m - 1) := (hasDerivWithinAt_zpow m x h s).derivWithin hxs #align deriv_within_zpow derivWithin_zpow @[simp]
Mathlib/Analysis/Calculus/Deriv/ZPow.lean
106
113
theorem iter_deriv_zpow' (m : ℤ) (k : ℕ) : (deriv^[k] fun x : 𝕜 => x ^ m) = fun x => (∏ i ∈ Finset.range k, ((m : 𝕜) - i)) * x ^ (m - k) := by
induction' k with k ihk · simp only [Nat.zero_eq, one_mul, Int.ofNat_zero, id, sub_zero, Finset.prod_range_zero, Function.iterate_zero] · simp only [Function.iterate_succ_apply', ihk, deriv_const_mul_field', deriv_zpow', Finset.prod_range_succ, Int.ofNat_succ, ← sub_sub, Int.cast_sub, Int.cast_natCast, mul_assoc]
false
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.LinearAlgebra.FreeModule.Finite.Basic #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' w open Cardinal Basis Submodule Function Set DirectSum FiniteDimensional section Tower variable (F : Type u) (K : Type v) (A : Type w) variable [Ring F] [Ring K] [AddCommGroup A] variable [Module F K] [Module K A] [Module F A] [IsScalarTower F K A] variable [StrongRankCondition F] [StrongRankCondition K] [Module.Free F K] [Module.Free K A] theorem lift_rank_mul_lift_rank : Cardinal.lift.{w} (Module.rank F K) * Cardinal.lift.{v} (Module.rank K A) = Cardinal.lift.{v} (Module.rank F A) := by let b := Module.Free.chooseBasis F K let c := Module.Free.chooseBasis K A rw [← (Module.rank F K).lift_id, ← b.mk_eq_rank, ← (Module.rank K A).lift_id, ← c.mk_eq_rank, ← lift_umax.{w, v}, ← (b.smul c).mk_eq_rank, mk_prod, lift_mul, lift_lift, lift_lift, lift_lift, lift_lift, lift_umax.{v, w}] #align lift_rank_mul_lift_rank lift_rank_mul_lift_rank theorem rank_mul_rank (A : Type v) [AddCommGroup A] [Module K A] [Module F A] [IsScalarTower F K A] [Module.Free K A] : Module.rank F K * Module.rank K A = Module.rank F A := by convert lift_rank_mul_lift_rank F K A <;> rw [lift_id] #align rank_mul_rank rank_mul_rank
Mathlib/LinearAlgebra/Dimension/Free.lean
63
66
theorem FiniteDimensional.finrank_mul_finrank : finrank F K * finrank K A = finrank F A := by
simp_rw [finrank] rw [← toNat_lift.{w} (Module.rank F K), ← toNat_lift.{v} (Module.rank K A), ← toNat_mul, lift_rank_mul_lift_rank, toNat_lift]
true
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.GeomSum import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Data.Nat.Bitwise import Mathlib.Data.Nat.Log import Mathlib.Data.Nat.Prime import Mathlib.Data.Nat.Digits import Mathlib.RingTheory.Multiplicity #align_import data.nat.multiplicity from "leanprover-community/mathlib"@"ceb887ddf3344dab425292e497fa2af91498437c" open Finset Nat multiplicity open Nat namespace Nat
Mathlib/Data/Nat/Multiplicity.lean
61
77
theorem multiplicity_eq_card_pow_dvd {m n b : ℕ} (hm : m ≠ 1) (hn : 0 < n) (hb : log m n < b) : multiplicity m n = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card := calc multiplicity m n = ↑(Ico 1 <| (multiplicity m n).get (finite_nat_iff.2 ⟨hm, hn⟩) + 1).card := by
simp _ = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card := congr_arg _ <| congr_arg card <| Finset.ext fun i => by rw [mem_filter, mem_Ico, mem_Ico, Nat.lt_succ_iff, ← @PartENat.coe_le_coe i, PartENat.natCast_get, ← pow_dvd_iff_le_multiplicity, and_right_comm] refine (and_iff_left_of_imp fun h => lt_of_le_of_lt ?_ hb).symm cases' m with m · rw [zero_pow, zero_dvd_iff] at h exacts [(hn.ne' h.2).elim, one_le_iff_ne_zero.1 h.1] exact le_log_of_pow_le (one_lt_iff_ne_zero_and_ne_one.2 ⟨m.succ_ne_zero, hm⟩) (le_of_dvd hn h.2)
false
import Mathlib.CategoryTheory.Subobject.Lattice #align_import category_theory.subobject.limits from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d" universe v u noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject Opposite variable {C : Type u} [Category.{v} C] {X Y Z : C} namespace CategoryTheory namespace Limits section Kernel variable [HasZeroMorphisms C] (f : X ⟶ Y) [HasKernel f] abbrev kernelSubobject : Subobject X := Subobject.mk (kernel.ι f) #align category_theory.limits.kernel_subobject CategoryTheory.Limits.kernelSubobject def kernelSubobjectIso : (kernelSubobject f : C) ≅ kernel f := Subobject.underlyingIso (kernel.ι f) #align category_theory.limits.kernel_subobject_iso CategoryTheory.Limits.kernelSubobjectIso @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobject_arrow : (kernelSubobjectIso f).hom ≫ kernel.ι f = (kernelSubobject f).arrow := by simp [kernelSubobjectIso] #align category_theory.limits.kernel_subobject_arrow CategoryTheory.Limits.kernelSubobject_arrow @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobject_arrow' : (kernelSubobjectIso f).inv ≫ (kernelSubobject f).arrow = kernel.ι f := by simp [kernelSubobjectIso] #align category_theory.limits.kernel_subobject_arrow' CategoryTheory.Limits.kernelSubobject_arrow' @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobject_arrow_comp : (kernelSubobject f).arrow ≫ f = 0 := by rw [← kernelSubobject_arrow] simp only [Category.assoc, kernel.condition, comp_zero] #align category_theory.limits.kernel_subobject_arrow_comp CategoryTheory.Limits.kernelSubobject_arrow_comp theorem kernelSubobject_factors {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : (kernelSubobject f).Factors h := ⟨kernel.lift _ h w, by simp⟩ #align category_theory.limits.kernel_subobject_factors CategoryTheory.Limits.kernelSubobject_factors theorem kernelSubobject_factors_iff {W : C} (h : W ⟶ X) : (kernelSubobject f).Factors h ↔ h ≫ f = 0 := ⟨fun w => by rw [← Subobject.factorThru_arrow _ _ w, Category.assoc, kernelSubobject_arrow_comp, comp_zero], kernelSubobject_factors f h⟩ #align category_theory.limits.kernel_subobject_factors_iff CategoryTheory.Limits.kernelSubobject_factors_iff def factorThruKernelSubobject {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : W ⟶ kernelSubobject f := (kernelSubobject f).factorThru h (kernelSubobject_factors f h w) #align category_theory.limits.factor_thru_kernel_subobject CategoryTheory.Limits.factorThruKernelSubobject @[simp] theorem factorThruKernelSubobject_comp_arrow {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : factorThruKernelSubobject f h w ≫ (kernelSubobject f).arrow = h := by dsimp [factorThruKernelSubobject] simp #align category_theory.limits.factor_thru_kernel_subobject_comp_arrow CategoryTheory.Limits.factorThruKernelSubobject_comp_arrow @[simp] theorem factorThruKernelSubobject_comp_kernelSubobjectIso {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : factorThruKernelSubobject f h w ≫ (kernelSubobjectIso f).hom = kernel.lift f h w := (cancel_mono (kernel.ι f)).1 <| by simp #align category_theory.limits.factor_thru_kernel_subobject_comp_kernel_subobject_iso CategoryTheory.Limits.factorThruKernelSubobject_comp_kernelSubobjectIso section variable {f} {X' Y' : C} {f' : X' ⟶ Y'} [HasKernel f'] def kernelSubobjectMap (sq : Arrow.mk f ⟶ Arrow.mk f') : (kernelSubobject f : C) ⟶ (kernelSubobject f' : C) := Subobject.factorThru _ ((kernelSubobject f).arrow ≫ sq.left) (kernelSubobject_factors _ _ (by simp [sq.w])) #align category_theory.limits.kernel_subobject_map CategoryTheory.Limits.kernelSubobjectMap @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobjectMap_arrow (sq : Arrow.mk f ⟶ Arrow.mk f') : kernelSubobjectMap sq ≫ (kernelSubobject f').arrow = (kernelSubobject f).arrow ≫ sq.left := by simp [kernelSubobjectMap] #align category_theory.limits.kernel_subobject_map_arrow CategoryTheory.Limits.kernelSubobjectMap_arrow @[simp] theorem kernelSubobjectMap_id : kernelSubobjectMap (𝟙 (Arrow.mk f)) = 𝟙 _ := by aesop_cat #align category_theory.limits.kernel_subobject_map_id CategoryTheory.Limits.kernelSubobjectMap_id @[simp] theorem kernelSubobjectMap_comp {X'' Y'' : C} {f'' : X'' ⟶ Y''} [HasKernel f''] (sq : Arrow.mk f ⟶ Arrow.mk f') (sq' : Arrow.mk f' ⟶ Arrow.mk f'') : kernelSubobjectMap (sq ≫ sq') = kernelSubobjectMap sq ≫ kernelSubobjectMap sq' := by aesop_cat #align category_theory.limits.kernel_subobject_map_comp CategoryTheory.Limits.kernelSubobjectMap_comp @[reassoc]
Mathlib/CategoryTheory/Subobject/Limits.lean
175
177
theorem kernel_map_comp_kernelSubobjectIso_inv (sq : Arrow.mk f ⟶ Arrow.mk f') : kernel.map f f' sq.1 sq.2 sq.3.symm ≫ (kernelSubobjectIso _).inv = (kernelSubobjectIso _).inv ≫ kernelSubobjectMap sq := by
aesop_cat
true
import Mathlib.MeasureTheory.PiSystem import Mathlib.Order.OmegaCompletePartialOrder import Mathlib.Topology.Constructions import Mathlib.MeasureTheory.MeasurableSpace.Basic open Set namespace MeasureTheory variable {ι : Type _} {α : ι → Type _} section cylinder def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) := (fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S @[simp] theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) : f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S := mem_preimage @[simp] theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by rw [cylinder, preimage_empty] @[simp]
Mathlib/MeasureTheory/Constructions/Cylinders.lean
165
166
theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by
rw [cylinder, preimage_univ]
false
import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Combinatorics.SimpleGraph.Maps open Finset namespace SimpleGraph variable {V : Type*} [DecidableEq V] (G : SimpleGraph V) (s t : V) section AddEdge def edge : SimpleGraph V := fromEdgeSet {s(s, t)} lemma edge_adj (v w : V) : (edge s t).Adj v w ↔ (v = s ∧ w = t ∨ v = t ∧ w = s) ∧ v ≠ w := by rw [edge, fromEdgeSet_adj, Set.mem_singleton_iff, Sym2.eq_iff] instance : DecidableRel (edge s t).Adj := fun _ _ ↦ by rw [edge_adj]; infer_instance lemma edge_self_eq_bot : edge s s = ⊥ := by ext; rw [edge_adj]; aesop @[simp] lemma sup_edge_self : G ⊔ edge s s = G := by rw [edge_self_eq_bot, sup_of_le_left bot_le] variable {s t} lemma edge_edgeSet_of_ne (h : s ≠ t) : (edge s t).edgeSet = {s(s, t)} := by rwa [edge, edgeSet_fromEdgeSet, sdiff_eq_left, Set.disjoint_singleton_left, Set.mem_setOf_eq, Sym2.isDiag_iff_proj_eq] lemma sup_edge_of_adj (h : G.Adj s t) : G ⊔ edge s t = G := by rwa [sup_eq_left, ← edgeSet_subset_edgeSet, edge_edgeSet_of_ne h.ne, Set.singleton_subset_iff, mem_edgeSet] variable [Fintype V] [DecidableRel G.Adj] instance : Fintype (edge s t).edgeSet := by rw [edge]; infer_instance
Mathlib/Combinatorics/SimpleGraph/Operations.lean
171
175
theorem edgeFinset_sup_edge [Fintype (edgeSet (G ⊔ edge s t))] (hn : ¬G.Adj s t) (h : s ≠ t) : (G ⊔ edge s t).edgeFinset = G.edgeFinset.cons s(s, t) (by simp_all) := by
letI := Classical.decEq V rw [edgeFinset_sup, cons_eq_insert, insert_eq, union_comm] simp_rw [edgeFinset, edge_edgeSet_of_ne h]; rfl
true
import Mathlib.LinearAlgebra.FreeModule.PID import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.BilinearForm.DualLattice import Mathlib.RingTheory.DedekindDomain.Basic import Mathlib.RingTheory.Localization.Module import Mathlib.RingTheory.Trace #align_import ring_theory.dedekind_domain.integral_closure from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0" variable (R A K : Type*) [CommRing R] [CommRing A] [Field K] open scoped nonZeroDivisors Polynomial variable [IsDomain A] section IsIntegralClosure open Algebra variable [Algebra A K] [IsFractionRing A K] variable (L : Type*) [Field L] (C : Type*) [CommRing C] variable [Algebra K L] [Algebra A L] [IsScalarTower A K L] variable [Algebra C L] [IsIntegralClosure C A L] [Algebra A C] [IsScalarTower A C L] theorem IsIntegralClosure.isLocalization [Algebra.IsAlgebraic K L] : IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L := by haveI : IsDomain C := (IsIntegralClosure.equiv A C L (integralClosure A L)).toMulEquiv.isDomain (integralClosure A L) haveI : NoZeroSMulDivisors A L := NoZeroSMulDivisors.trans A K L haveI : NoZeroSMulDivisors A C := IsIntegralClosure.noZeroSMulDivisors A L refine ⟨?_, fun z => ?_, fun {x y} h => ⟨1, ?_⟩⟩ · rintro ⟨_, x, hx, rfl⟩ rw [isUnit_iff_ne_zero, map_ne_zero_iff _ (IsIntegralClosure.algebraMap_injective C A L), Subtype.coe_mk, map_ne_zero_iff _ (NoZeroSMulDivisors.algebraMap_injective A C)] exact mem_nonZeroDivisors_iff_ne_zero.mp hx · obtain ⟨m, hm⟩ := IsIntegral.exists_multiple_integral_of_isLocalization A⁰ z (Algebra.IsIntegral.isIntegral (R := K) z) obtain ⟨x, hx⟩ : ∃ x, algebraMap C L x = m • z := IsIntegralClosure.isIntegral_iff.mp hm refine ⟨⟨x, algebraMap A C m, m, SetLike.coe_mem m, rfl⟩, ?_⟩ rw [Subtype.coe_mk, ← IsScalarTower.algebraMap_apply, hx, mul_comm, Submonoid.smul_def, smul_def] · simp only [IsIntegralClosure.algebraMap_injective C A L h] theorem IsIntegralClosure.isLocalization_of_isSeparable [IsSeparable K L] : IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L := IsIntegralClosure.isLocalization A K L C #align is_integral_closure.is_localization IsIntegralClosure.isLocalization_of_isSeparable variable [FiniteDimensional K L] variable {A K L}
Mathlib/RingTheory/DedekindDomain/IntegralClosure.lean
93
103
theorem IsIntegralClosure.range_le_span_dualBasis [IsSeparable K L] {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι K L) (hb_int : ∀ i, IsIntegral A (b i)) [IsIntegrallyClosed A] : LinearMap.range ((Algebra.linearMap C L).restrictScalars A) ≤ Submodule.span A (Set.range <| (traceForm K L).dualBasis (traceForm_nondegenerate K L) b) := by
rw [← LinearMap.BilinForm.dualSubmodule_span_of_basis, ← LinearMap.BilinForm.le_flip_dualSubmodule, Submodule.span_le] rintro _ ⟨i, rfl⟩ _ ⟨y, rfl⟩ simp only [LinearMap.coe_restrictScalars, linearMap_apply, LinearMap.BilinForm.flip_apply, traceForm_apply] refine IsIntegrallyClosed.isIntegral_iff.mp ?_ exact isIntegral_trace ((IsIntegralClosure.isIntegral A L y).algebraMap.mul (hb_int i))
false
import Mathlib.AlgebraicTopology.DoldKan.PInfty #align_import algebraic_topology.dold_kan.decomposition from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive Opposite Simplicial noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X X' : SimplicialObject C} theorem decomposition_Q (n q : ℕ) : ((Q q).f (n + 1) : X _[n + 1] ⟶ X _[n + 1]) = ∑ i ∈ Finset.filter (fun i : Fin (n + 1) => (i : ℕ) < q) Finset.univ, (P i).f (n + 1) ≫ X.δ i.rev.succ ≫ X.σ (Fin.rev i) := by induction' q with q hq · simp only [Nat.zero_eq, Q_zero, HomologicalComplex.zero_f_apply, Nat.not_lt_zero, Finset.filter_False, Finset.sum_empty] · by_cases hqn : q + 1 ≤ n + 1 swap · rw [Q_is_eventually_constant (show n + 1 ≤ q by omega), hq] congr 1 ext ⟨x, hx⟩ simp only [Nat.succ_eq_add_one, Finset.mem_filter, Finset.mem_univ, true_and] omega · cases' Nat.le.dest (Nat.succ_le_succ_iff.mp hqn) with a ha rw [Q_succ, HomologicalComplex.sub_f_apply, HomologicalComplex.comp_f, hq] symm conv_rhs => rw [sub_eq_add_neg, add_comm] let q' : Fin (n + 1) := ⟨q, Nat.succ_le_iff.mp hqn⟩ rw [← @Finset.add_sum_erase _ _ _ _ _ _ q' (by simp)] congr · have hnaq' : n = a + q := by omega simp only [Fin.val_mk, (HigherFacesVanish.of_P q n).comp_Hσ_eq hnaq', q'.rev_eq hnaq', neg_neg] rfl · ext ⟨i, hi⟩ simp only [q', Nat.succ_eq_add_one, Nat.lt_succ_iff_lt_or_eq, Finset.mem_univ, forall_true_left, Finset.mem_filter, lt_self_iff_false, or_true, and_self, not_true, Finset.mem_erase, ne_eq, Fin.mk.injEq, true_and] aesop set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.decomposition_Q AlgebraicTopology.DoldKan.decomposition_Q variable (X) -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure MorphComponents (n : ℕ) (Z : C) where a : X _[n + 1] ⟶ Z b : Fin (n + 1) → (X _[n] ⟶ Z) #align algebraic_topology.dold_kan.morph_components AlgebraicTopology.DoldKan.MorphComponents namespace MorphComponents variable {X} {n : ℕ} {Z Z' : C} (f : MorphComponents X n Z) (g : X' ⟶ X) (h : Z ⟶ Z') def φ {Z : C} (f : MorphComponents X n Z) : X _[n + 1] ⟶ Z := PInfty.f (n + 1) ≫ f.a + ∑ i : Fin (n + 1), (P i).f (n + 1) ≫ X.δ i.rev.succ ≫ f.b (Fin.rev i) #align algebraic_topology.dold_kan.morph_components.φ AlgebraicTopology.DoldKan.MorphComponents.φ variable (X n) @[simps] def id : MorphComponents X n (X _[n + 1]) where a := PInfty.f (n + 1) b i := X.σ i #align algebraic_topology.dold_kan.morph_components.id AlgebraicTopology.DoldKan.MorphComponents.id @[simp] theorem id_φ : (id X n).φ = 𝟙 _ := by simp only [← P_add_Q_f (n + 1) (n + 1), φ] congr 1 · simp only [id, PInfty_f, P_f_idem] · exact Eq.trans (by congr; simp) (decomposition_Q n (n + 1)).symm #align algebraic_topology.dold_kan.morph_components.id_φ AlgebraicTopology.DoldKan.MorphComponents.id_φ variable {X n} @[simps] def postComp : MorphComponents X n Z' where a := f.a ≫ h b i := f.b i ≫ h #align algebraic_topology.dold_kan.morph_components.post_comp AlgebraicTopology.DoldKan.MorphComponents.postComp @[simp]
Mathlib/AlgebraicTopology/DoldKan/Decomposition.lean
137
139
theorem postComp_φ : (f.postComp h).φ = f.φ ≫ h := by
unfold φ postComp simp only [add_comp, sum_comp, assoc]
true
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.Calculus.Deriv.Polynomial import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.SpecialFunctions.PolynomialExp #align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Topology open Polynomial Real Filter Set Function open scoped Polynomial def expNegInvGlue (x : ℝ) : ℝ := if x ≤ 0 then 0 else exp (-x⁻¹) #align exp_neg_inv_glue expNegInvGlue namespace expNegInvGlue theorem zero_of_nonpos {x : ℝ} (hx : x ≤ 0) : expNegInvGlue x = 0 := by simp [expNegInvGlue, hx] #align exp_neg_inv_glue.zero_of_nonpos expNegInvGlue.zero_of_nonpos @[simp] -- Porting note (#10756): new lemma protected theorem zero : expNegInvGlue 0 = 0 := zero_of_nonpos le_rfl
Mathlib/Analysis/SpecialFunctions/SmoothTransition.lean
53
54
theorem pos_of_pos {x : ℝ} (hx : 0 < x) : 0 < expNegInvGlue x := by
simp [expNegInvGlue, not_le.2 hx, exp_pos]
false
import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Analysis.SumOverResidueClass #align_import analysis.p_series from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" def SuccDiffBounded (C : ℕ) (u : ℕ → ℕ) : Prop := ∀ n : ℕ, u (n + 2) - u (n + 1) ≤ C • (u (n + 1) - u n) namespace Finset variable {M : Type*} [OrderedAddCommMonoid M] {f : ℕ → M} {u : ℕ → ℕ} theorem le_sum_schlomilch' (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (h_pos : ∀ n, 0 < u n) (hu : Monotone u) (n : ℕ) : (∑ k ∈ Ico (u 0) (u n), f k) ≤ ∑ k ∈ range n, (u (k + 1) - u k) • f (u k) := by induction' n with n ihn · simp suffices (∑ k ∈ Ico (u n) (u (n + 1)), f k) ≤ (u (n + 1) - u n) • f (u n) by rw [sum_range_succ, ← sum_Ico_consecutive] · exact add_le_add ihn this exacts [hu n.zero_le, hu n.le_succ] have : ∀ k ∈ Ico (u n) (u (n + 1)), f k ≤ f (u n) := fun k hk => hf (Nat.succ_le_of_lt (h_pos n)) (mem_Ico.mp hk).1 convert sum_le_sum this simp [pow_succ, mul_two] theorem le_sum_condensed' (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (n : ℕ) : (∑ k ∈ Ico 1 (2 ^ n), f k) ≤ ∑ k ∈ range n, 2 ^ k • f (2 ^ k) := by convert le_sum_schlomilch' hf (fun n => pow_pos zero_lt_two n) (fun m n hm => pow_le_pow_right one_le_two hm) n using 2 simp [pow_succ, mul_two, two_mul] #align finset.le_sum_condensed' Finset.le_sum_condensed' theorem le_sum_schlomilch (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (h_pos : ∀ n, 0 < u n) (hu : Monotone u) (n : ℕ) : (∑ k ∈ range (u n), f k) ≤ ∑ k ∈ range (u 0), f k + ∑ k ∈ range n, (u (k + 1) - u k) • f (u k) := by convert add_le_add_left (le_sum_schlomilch' hf h_pos hu n) (∑ k ∈ range (u 0), f k) rw [← sum_range_add_sum_Ico _ (hu n.zero_le)] theorem le_sum_condensed (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (n : ℕ) : (∑ k ∈ range (2 ^ n), f k) ≤ f 0 + ∑ k ∈ range n, 2 ^ k • f (2 ^ k) := by convert add_le_add_left (le_sum_condensed' hf n) (f 0) rw [← sum_range_add_sum_Ico _ n.one_le_two_pow, sum_range_succ, sum_range_zero, zero_add] #align finset.le_sum_condensed Finset.le_sum_condensed theorem sum_schlomilch_le' (hf : ∀ ⦃m n⦄, 1 < m → m ≤ n → f n ≤ f m) (h_pos : ∀ n, 0 < u n) (hu : Monotone u) (n : ℕ) : (∑ k ∈ range n, (u (k + 1) - u k) • f (u (k + 1))) ≤ ∑ k ∈ Ico (u 0 + 1) (u n + 1), f k := by induction' n with n ihn · simp suffices (u (n + 1) - u n) • f (u (n + 1)) ≤ ∑ k ∈ Ico (u n + 1) (u (n + 1) + 1), f k by rw [sum_range_succ, ← sum_Ico_consecutive] exacts [add_le_add ihn this, (add_le_add_right (hu n.zero_le) _ : u 0 + 1 ≤ u n + 1), add_le_add_right (hu n.le_succ) _] have : ∀ k ∈ Ico (u n + 1) (u (n + 1) + 1), f (u (n + 1)) ≤ f k := fun k hk => hf (Nat.lt_of_le_of_lt (Nat.succ_le_of_lt (h_pos n)) <| (Nat.lt_succ_of_le le_rfl).trans_le (mem_Ico.mp hk).1) (Nat.le_of_lt_succ <| (mem_Ico.mp hk).2) convert sum_le_sum this simp [pow_succ, mul_two]
Mathlib/Analysis/PSeries.lean
100
104
theorem sum_condensed_le' (hf : ∀ ⦃m n⦄, 1 < m → m ≤ n → f n ≤ f m) (n : ℕ) : (∑ k ∈ range n, 2 ^ k • f (2 ^ (k + 1))) ≤ ∑ k ∈ Ico 2 (2 ^ n + 1), f k := by
convert sum_schlomilch_le' hf (fun n => pow_pos zero_lt_two n) (fun m n hm => pow_le_pow_right one_le_two hm) n using 2 simp [pow_succ, mul_two, two_mul]
false
import Mathlib.Topology.Algebra.InfiniteSum.Defs import Mathlib.Data.Fintype.BigOperators import Mathlib.Topology.Algebra.Monoid noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section HasProd variable [CommMonoid α] [TopologicalSpace α] variable {f g : β → α} {a b : α} {s : Finset β} @[to_additive "Constant zero function has sum `0`"] theorem hasProd_one : HasProd (fun _ ↦ 1 : β → α) 1 := by simp [HasProd, tendsto_const_nhds] #align has_sum_zero hasSum_zero @[to_additive] theorem hasProd_empty [IsEmpty β] : HasProd f 1 := by convert @hasProd_one α β _ _ #align has_sum_empty hasSum_empty @[to_additive] theorem multipliable_one : Multipliable (fun _ ↦ 1 : β → α) := hasProd_one.multipliable #align summable_zero summable_zero @[to_additive] theorem multipliable_empty [IsEmpty β] : Multipliable f := hasProd_empty.multipliable #align summable_empty summable_empty @[to_additive] theorem multipliable_congr (hfg : ∀ b, f b = g b) : Multipliable f ↔ Multipliable g := iff_of_eq (congr_arg Multipliable <| funext hfg) #align summable_congr summable_congr @[to_additive] theorem Multipliable.congr (hf : Multipliable f) (hfg : ∀ b, f b = g b) : Multipliable g := (multipliable_congr hfg).mp hf #align summable.congr Summable.congr @[to_additive] lemma HasProd.congr_fun (hf : HasProd f a) (h : ∀ x : β, g x = f x) : HasProd g a := (funext h : g = f) ▸ hf @[to_additive] theorem HasProd.hasProd_of_prod_eq {g : γ → α} (h_eq : ∀ u : Finset γ, ∃ v : Finset β, ∀ v', v ⊆ v' → ∃ u', u ⊆ u' ∧ ∏ x ∈ u', g x = ∏ b ∈ v', f b) (hf : HasProd g a) : HasProd f a := le_trans (map_atTop_finset_prod_le_of_prod_eq h_eq) hf #align has_sum.has_sum_of_sum_eq HasSum.hasSum_of_sum_eq @[to_additive] theorem hasProd_iff_hasProd {g : γ → α} (h₁ : ∀ u : Finset γ, ∃ v : Finset β, ∀ v', v ⊆ v' → ∃ u', u ⊆ u' ∧ ∏ x ∈ u', g x = ∏ b ∈ v', f b) (h₂ : ∀ v : Finset β, ∃ u : Finset γ, ∀ u', u ⊆ u' → ∃ v', v ⊆ v' ∧ ∏ b ∈ v', f b = ∏ x ∈ u', g x) : HasProd f a ↔ HasProd g a := ⟨HasProd.hasProd_of_prod_eq h₂, HasProd.hasProd_of_prod_eq h₁⟩ #align has_sum_iff_has_sum hasSum_iff_hasSum @[to_additive] theorem Function.Injective.multipliable_iff {g : γ → β} (hg : Injective g) (hf : ∀ x ∉ Set.range g, f x = 1) : Multipliable (f ∘ g) ↔ Multipliable f := exists_congr fun _ ↦ hg.hasProd_iff hf #align function.injective.summable_iff Function.Injective.summable_iff @[to_additive (attr := simp)] theorem hasProd_extend_one {g : β → γ} (hg : Injective g) : HasProd (extend g f 1) a ↔ HasProd f a := by rw [← hg.hasProd_iff, extend_comp hg] exact extend_apply' _ _ @[to_additive (attr := simp)] theorem multipliable_extend_one {g : β → γ} (hg : Injective g) : Multipliable (extend g f 1) ↔ Multipliable f := exists_congr fun _ ↦ hasProd_extend_one hg @[to_additive] theorem hasProd_subtype_iff_mulIndicator {s : Set β} : HasProd (f ∘ (↑) : s → α) a ↔ HasProd (s.mulIndicator f) a := by rw [← Set.mulIndicator_range_comp, Subtype.range_coe, hasProd_subtype_iff_of_mulSupport_subset Set.mulSupport_mulIndicator_subset] #align has_sum_subtype_iff_indicator hasSum_subtype_iff_indicator @[to_additive] theorem multipliable_subtype_iff_mulIndicator {s : Set β} : Multipliable (f ∘ (↑) : s → α) ↔ Multipliable (s.mulIndicator f) := exists_congr fun _ ↦ hasProd_subtype_iff_mulIndicator #align summable_subtype_iff_indicator summable_subtype_iff_indicator @[to_additive (attr := simp)] theorem hasProd_subtype_mulSupport : HasProd (f ∘ (↑) : mulSupport f → α) a ↔ HasProd f a := hasProd_subtype_iff_of_mulSupport_subset <| Set.Subset.refl _ #align has_sum_subtype_support hasSum_subtype_support @[to_additive] protected theorem Finset.multipliable (s : Finset β) (f : β → α) : Multipliable (f ∘ (↑) : (↑s : Set β) → α) := (s.hasProd f).multipliable #align finset.summable Finset.summable @[to_additive] protected theorem Set.Finite.multipliable {s : Set β} (hs : s.Finite) (f : β → α) : Multipliable (f ∘ (↑) : s → α) := by have := hs.toFinset.multipliable f rwa [hs.coe_toFinset] at this #align set.finite.summable Set.Finite.summable @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Basic.lean
132
133
theorem multipliable_of_finite_mulSupport (h : (mulSupport f).Finite) : Multipliable f := by
apply multipliable_of_ne_finset_one (s := h.toFinset); simp
false
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.CharZero.Lemmas import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.Choose.Central import Mathlib.Data.Tree.Basic import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.GCongr import Mathlib.Tactic.Positivity #align_import combinatorics.catalan from "leanprover-community/mathlib"@"26b40791e4a5772a4e53d0e28e4df092119dc7da" open Finset open Finset.antidiagonal (fst_le snd_le) def catalan : ℕ → ℕ | 0 => 1 | n + 1 => ∑ i : Fin n.succ, catalan i * catalan (n - i) #align catalan catalan @[simp] theorem catalan_zero : catalan 0 = 1 := by rw [catalan] #align catalan_zero catalan_zero theorem catalan_succ (n : ℕ) : catalan (n + 1) = ∑ i : Fin n.succ, catalan i * catalan (n - i) := by rw [catalan] #align catalan_succ catalan_succ theorem catalan_succ' (n : ℕ) : catalan (n + 1) = ∑ ij ∈ antidiagonal n, catalan ij.1 * catalan ij.2 := by rw [catalan_succ, Nat.sum_antidiagonal_eq_sum_range_succ (fun x y => catalan x * catalan y) n, sum_range] #align catalan_succ' catalan_succ' @[simp] theorem catalan_one : catalan 1 = 1 := by simp [catalan_succ] #align catalan_one catalan_one private def gosperCatalan (n j : ℕ) : ℚ := Nat.centralBinom j * Nat.centralBinom (n - j) * (2 * j - n) / (2 * n * (n + 1)) private theorem gosper_trick {n i : ℕ} (h : i ≤ n) : gosperCatalan (n + 1) (i + 1) - gosperCatalan (n + 1) i = Nat.centralBinom i / (i + 1) * Nat.centralBinom (n - i) / (n - i + 1) := by have l₁ : (i : ℚ) + 1 ≠ 0 := by norm_cast have l₂ : (n : ℚ) - i + 1 ≠ 0 := by norm_cast have h₁ := (mul_div_cancel_left₀ (↑(Nat.centralBinom (i + 1))) l₁).symm have h₂ := (mul_div_cancel_left₀ (↑(Nat.centralBinom (n - i + 1))) l₂).symm have h₃ : ((i : ℚ) + 1) * (i + 1).centralBinom = 2 * (2 * i + 1) * i.centralBinom := mod_cast Nat.succ_mul_centralBinom_succ i have h₄ : ((n : ℚ) - i + 1) * (n - i + 1).centralBinom = 2 * (2 * (n - i) + 1) * (n - i).centralBinom := mod_cast Nat.succ_mul_centralBinom_succ (n - i) simp only [gosperCatalan] push_cast rw [show n + 1 - i = n - i + 1 by rw [Nat.add_comm (n - i) 1, ← (Nat.add_sub_assoc h 1), add_comm]] rw [h₁, h₂, h₃, h₄] field_simp ring private theorem gosper_catalan_sub_eq_central_binom_div (n : ℕ) : gosperCatalan (n + 1) (n + 1) - gosperCatalan (n + 1) 0 = Nat.centralBinom (n + 1) / (n + 2) := by have : (n : ℚ) + 1 ≠ 0 := by norm_cast have : (n : ℚ) + 1 + 1 ≠ 0 := by norm_cast have h : (n : ℚ) + 2 ≠ 0 := by norm_cast simp only [gosperCatalan, Nat.sub_zero, Nat.centralBinom_zero, Nat.sub_self] field_simp ring theorem catalan_eq_centralBinom_div (n : ℕ) : catalan n = n.centralBinom / (n + 1) := by suffices (catalan n : ℚ) = Nat.centralBinom n / (n + 1) by have h := Nat.succ_dvd_centralBinom n exact mod_cast this induction' n using Nat.case_strong_induction_on with d hd · simp · simp_rw [catalan_succ, Nat.cast_sum, Nat.cast_mul] trans (∑ i : Fin d.succ, Nat.centralBinom i / (i + 1) * (Nat.centralBinom (d - i) / (d - i + 1)) : ℚ) · congr ext1 x have m_le_d : x.val ≤ d := by apply Nat.le_of_lt_succ; apply x.2 have d_minus_x_le_d : (d - x.val) ≤ d := tsub_le_self rw [hd _ m_le_d, hd _ d_minus_x_le_d] norm_cast · trans (∑ i : Fin d.succ, (gosperCatalan (d + 1) (i + 1) - gosperCatalan (d + 1) i)) · refine sum_congr rfl fun i _ => ?_ rw [gosper_trick i.is_le, mul_div] · rw [← sum_range fun i => gosperCatalan (d + 1) (i + 1) - gosperCatalan (d + 1) i, sum_range_sub, Nat.succ_eq_add_one] rw [gosper_catalan_sub_eq_central_binom_div d] norm_cast #align catalan_eq_central_binom_div catalan_eq_centralBinom_div theorem succ_mul_catalan_eq_centralBinom (n : ℕ) : (n + 1) * catalan n = n.centralBinom := (Nat.eq_mul_of_div_eq_right n.succ_dvd_centralBinom (catalan_eq_centralBinom_div n).symm).symm #align succ_mul_catalan_eq_central_binom succ_mul_catalan_eq_centralBinom
Mathlib/Combinatorics/Enumerative/Catalan.lean
144
145
theorem catalan_two : catalan 2 = 2 := by
norm_num [catalan_eq_centralBinom_div, Nat.centralBinom, Nat.choose]
false
import Mathlib.NumberTheory.ZetaValues import Mathlib.NumberTheory.LSeries.RiemannZeta open Complex Real Set open scoped Nat open HurwitzZeta theorem riemannZeta_two_mul_nat {k : ℕ} (hk : k ≠ 0) : riemannZeta (2 * k) = (-1) ^ (k + 1) * (2 : ℂ) ^ (2 * k - 1) * (π : ℂ) ^ (2 * k) * bernoulli (2 * k) / (2 * k)! := by convert congr_arg ((↑) : ℝ → ℂ) (hasSum_zeta_nat hk).tsum_eq · rw [← Nat.cast_two, ← Nat.cast_mul, zeta_nat_eq_tsum_of_gt_one (by omega)] simp only [push_cast] · norm_cast #align riemann_zeta_two_mul_nat riemannZeta_two_mul_nat
Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean
220
224
theorem riemannZeta_two : riemannZeta 2 = (π : ℂ) ^ 2 / 6 := by
convert congr_arg ((↑) : ℝ → ℂ) hasSum_zeta_two.tsum_eq · rw [← Nat.cast_two, zeta_nat_eq_tsum_of_gt_one one_lt_two] simp only [push_cast] · norm_cast
false
import Mathlib.Control.Traversable.Equiv import Mathlib.Control.Traversable.Instances import Batteries.Data.LazyList import Mathlib.Lean.Thunk #align_import data.lazy_list.basic from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" universe u namespace LazyList open Function def listEquivLazyList (α : Type*) : List α ≃ LazyList α where toFun := LazyList.ofList invFun := LazyList.toList right_inv := by intro xs induction xs using toList.induct · simp [toList, ofList] · simp [toList, ofList, *]; rfl left_inv := by intro xs induction xs · simp [toList, ofList] · simpa [ofList, toList] #align lazy_list.list_equiv_lazy_list LazyList.listEquivLazyList -- Porting note: Added a name to make the recursion work. instance decidableEq {α : Type u} [DecidableEq α] : DecidableEq (LazyList α) | nil, nil => isTrue rfl | cons x xs, cons y ys => if h : x = y then match decidableEq xs.get ys.get with | isFalse h2 => by apply isFalse; simp only [cons.injEq, not_and]; intro _ xs_ys; apply h2; rw [xs_ys] | isTrue h2 => by apply isTrue; congr; ext; exact h2 else by apply isFalse; simp only [cons.injEq, not_and]; intro; contradiction | nil, cons _ _ => by apply isFalse; simp | cons _ _, nil => by apply isFalse; simp protected def traverse {m : Type u → Type u} [Applicative m] {α β : Type u} (f : α → m β) : LazyList α → m (LazyList β) | LazyList.nil => pure LazyList.nil | LazyList.cons x xs => LazyList.cons <$> f x <*> Thunk.pure <$> xs.get.traverse f #align lazy_list.traverse LazyList.traverse instance : Traversable LazyList where map := @LazyList.traverse Id _ traverse := @LazyList.traverse instance : LawfulTraversable LazyList := by apply Equiv.isLawfulTraversable' listEquivLazyList <;> intros <;> ext <;> rename_i f xs · induction' xs using LazyList.rec with _ _ _ _ ih · simp only [Functor.map, LazyList.traverse, pure, Equiv.map, listEquivLazyList, Equiv.coe_fn_symm_mk, toList, Equiv.coe_fn_mk, ofList] · simpa only [Equiv.map, Functor.map, listEquivLazyList, Equiv.coe_fn_symm_mk, Equiv.coe_fn_mk, LazyList.traverse, Seq.seq, toList, ofList, cons.injEq, true_and] · ext; apply ih · simp only [Equiv.map, listEquivLazyList, Equiv.coe_fn_symm_mk, Equiv.coe_fn_mk, comp, Functor.mapConst] induction' xs using LazyList.rec with _ _ _ _ ih · simp only [LazyList.traverse, pure, Functor.map, toList, ofList] · simpa only [toList, ofList, LazyList.traverse, Seq.seq, Functor.map, cons.injEq, true_and] · congr; apply ih · simp only [traverse, Equiv.traverse, listEquivLazyList, Equiv.coe_fn_mk, Equiv.coe_fn_symm_mk] induction' xs using LazyList.rec with _ tl ih _ ih · simp only [LazyList.traverse, toList, List.traverse, map_pure, ofList] · replace ih : tl.get.traverse f = ofList <$> tl.get.toList.traverse f := ih simp [traverse.eq_2, ih, Functor.map_map, seq_map_assoc, toList, List.traverse, map_seq, Function.comp, Thunk.pure, ofList] · apply ih def init {α} : LazyList α → LazyList α | LazyList.nil => LazyList.nil | LazyList.cons x xs => let xs' := xs.get match xs' with | LazyList.nil => LazyList.nil | LazyList.cons _ _ => LazyList.cons x (init xs') #align lazy_list.init LazyList.init def find {α} (p : α → Prop) [DecidablePred p] : LazyList α → Option α | nil => none | cons h t => if p h then some h else t.get.find p #align lazy_list.find LazyList.find def interleave {α} : LazyList α → LazyList α → LazyList α | LazyList.nil, xs => xs | a@(LazyList.cons _ _), LazyList.nil => a | LazyList.cons x xs, LazyList.cons y ys => LazyList.cons x (LazyList.cons y (interleave xs.get ys.get)) #align lazy_list.interleave LazyList.interleave def interleaveAll {α} : List (LazyList α) → LazyList α | [] => LazyList.nil | x :: xs => interleave x (interleaveAll xs) #align lazy_list.interleave_all LazyList.interleaveAll protected def bind {α β} : LazyList α → (α → LazyList β) → LazyList β | LazyList.nil, _ => LazyList.nil | LazyList.cons x xs, f => (f x).append (xs.get.bind f) #align lazy_list.bind LazyList.bind def reverse {α} (xs : LazyList α) : LazyList α := ofList xs.toList.reverse #align lazy_list.reverse LazyList.reverse instance : Monad LazyList where pure := @LazyList.singleton bind := @LazyList.bind -- Porting note: Added `Thunk.pure` to definition. theorem append_nil {α} (xs : LazyList α) : xs.append (Thunk.pure LazyList.nil) = xs := by induction' xs using LazyList.rec with _ _ _ _ ih · simp only [Thunk.pure, append, Thunk.get] · simpa only [append, cons.injEq, true_and] · ext; apply ih #align lazy_list.append_nil LazyList.append_nil theorem append_assoc {α} (xs ys zs : LazyList α) : (xs.append ys).append zs = xs.append (ys.append zs) := by induction' xs using LazyList.rec with _ _ _ _ ih · simp only [append, Thunk.get] · simpa only [append, cons.injEq, true_and] · ext; apply ih #align lazy_list.append_assoc LazyList.append_assoc -- Porting note: Rewrote proof of `append_bind`.
Mathlib/Data/LazyList/Basic.lean
159
168
theorem append_bind {α β} (xs : LazyList α) (ys : Thunk (LazyList α)) (f : α → LazyList β) : (xs.append ys).bind f = (xs.bind f).append (ys.get.bind f) := by
match xs with | LazyList.nil => simp only [append, Thunk.get, LazyList.bind] | LazyList.cons x xs => simp only [append, Thunk.get, LazyList.bind] have := append_bind xs.get ys f simp only [Thunk.get] at this rw [this, append_assoc]
false
import Mathlib.Topology.Algebra.Algebra import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Topology.UrysohnsLemma import Mathlib.Analysis.RCLike.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Topology.Algebra.Module.CharacterSpace #align_import topology.continuous_function.ideals from "leanprover-community/mathlib"@"c2258f7bf086b17eac0929d635403780c39e239f" open scoped NNReal namespace ContinuousMap open TopologicalSpace section TopologicalRing variable {X R : Type*} [TopologicalSpace X] [Semiring R] variable [TopologicalSpace R] [TopologicalSemiring R] variable (R) def idealOfSet (s : Set X) : Ideal C(X, R) where carrier := {f : C(X, R) | ∀ x ∈ sᶜ, f x = 0} add_mem' {f g} hf hg x hx := by simp [hf x hx, hg x hx, coe_add, Pi.add_apply, add_zero] zero_mem' _ _ := rfl smul_mem' c f hf x hx := mul_zero (c x) ▸ congr_arg (fun y => c x * y) (hf x hx) #align continuous_map.ideal_of_set ContinuousMap.idealOfSet theorem idealOfSet_closed [T2Space R] (s : Set X) : IsClosed (idealOfSet R s : Set C(X, R)) := by simp only [idealOfSet, Submodule.coe_set_mk, Set.setOf_forall] exact isClosed_iInter fun x => isClosed_iInter fun _ => isClosed_eq (continuous_eval_const x) continuous_const #align continuous_map.ideal_of_set_closed ContinuousMap.idealOfSet_closed variable {R} theorem mem_idealOfSet {s : Set X} {f : C(X, R)} : f ∈ idealOfSet R s ↔ ∀ ⦃x : X⦄, x ∈ sᶜ → f x = 0 := by convert Iff.rfl #align continuous_map.mem_ideal_of_set ContinuousMap.mem_idealOfSet theorem not_mem_idealOfSet {s : Set X} {f : C(X, R)} : f ∉ idealOfSet R s ↔ ∃ x ∈ sᶜ, f x ≠ 0 := by simp_rw [mem_idealOfSet]; push_neg; rfl #align continuous_map.not_mem_ideal_of_set ContinuousMap.not_mem_idealOfSet def setOfIdeal (I : Ideal C(X, R)) : Set X := {x : X | ∀ f ∈ I, (f : C(X, R)) x = 0}ᶜ #align continuous_map.set_of_ideal ContinuousMap.setOfIdeal theorem not_mem_setOfIdeal {I : Ideal C(X, R)} {x : X} : x ∉ setOfIdeal I ↔ ∀ ⦃f : C(X, R)⦄, f ∈ I → f x = 0 := by rw [← Set.mem_compl_iff, setOfIdeal, compl_compl, Set.mem_setOf] #align continuous_map.not_mem_set_of_ideal ContinuousMap.not_mem_setOfIdeal
Mathlib/Topology/ContinuousFunction/Ideals.lean
123
125
theorem mem_setOfIdeal {I : Ideal C(X, R)} {x : X} : x ∈ setOfIdeal I ↔ ∃ f ∈ I, (f : C(X, R)) x ≠ 0 := by
simp_rw [setOfIdeal, Set.mem_compl_iff, Set.mem_setOf]; push_neg; rfl
false
import Mathlib.Order.SuccPred.Basic import Mathlib.Topology.Order.Basic import Mathlib.Topology.Metrizable.Uniformity #align_import topology.instances.discrete from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Order Set TopologicalSpace Filter variable {α : Type*} [TopologicalSpace α] instance (priority := 100) DiscreteTopology.firstCountableTopology [DiscreteTopology α] : FirstCountableTopology α where nhds_generated_countable := by rw [nhds_discrete]; exact isCountablyGenerated_pure #align discrete_topology.first_countable_topology DiscreteTopology.firstCountableTopology instance (priority := 100) DiscreteTopology.secondCountableTopology_of_countable [hd : DiscreteTopology α] [Countable α] : SecondCountableTopology α := haveI : ∀ i : α, SecondCountableTopology (↥({i} : Set α)) := fun i => { is_open_generated_countable := ⟨{univ}, countable_singleton _, by simp only [eq_iff_true_of_subsingleton]⟩ } secondCountableTopology_of_countable_cover (singletons_open_iff_discrete.mpr hd) (iUnion_of_singleton α) #align discrete_topology.second_countable_topology_of_encodable DiscreteTopology.secondCountableTopology_of_countable @[deprecated DiscreteTopology.secondCountableTopology_of_countable (since := "2024-03-11")] theorem DiscreteTopology.secondCountableTopology_of_encodable {α : Type*} [TopologicalSpace α] [DiscreteTopology α] [Countable α] : SecondCountableTopology α := DiscreteTopology.secondCountableTopology_of_countable #align discrete_topology.second_countable_topology_of_countable DiscreteTopology.secondCountableTopology_of_countable theorem bot_topologicalSpace_eq_generateFrom_of_pred_succOrder [PartialOrder α] [PredOrder α] [SuccOrder α] [NoMinOrder α] [NoMaxOrder α] : (⊥ : TopologicalSpace α) = generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a } := by refine (eq_bot_of_singletons_open fun a => ?_).symm have h_singleton_eq_inter : {a} = Iio (succ a) ∩ Ioi (pred a) := by suffices h_singleton_eq_inter' : {a} = Iic a ∩ Ici a by rw [h_singleton_eq_inter', ← Ioi_pred, ← Iio_succ] rw [inter_comm, Ici_inter_Iic, Icc_self a] rw [h_singleton_eq_inter] letI := Preorder.topology α apply IsOpen.inter · exact isOpen_generateFrom_of_mem ⟨succ a, Or.inr rfl⟩ · exact isOpen_generateFrom_of_mem ⟨pred a, Or.inl rfl⟩ #align bot_topological_space_eq_generate_from_of_pred_succ_order bot_topologicalSpace_eq_generateFrom_of_pred_succOrder theorem discreteTopology_iff_orderTopology_of_pred_succ' [PartialOrder α] [PredOrder α] [SuccOrder α] [NoMinOrder α] [NoMaxOrder α] : DiscreteTopology α ↔ OrderTopology α := by refine ⟨fun h => ⟨?_⟩, fun h => ⟨?_⟩⟩ · rw [h.eq_bot] exact bot_topologicalSpace_eq_generateFrom_of_pred_succOrder · rw [h.topology_eq_generate_intervals] exact bot_topologicalSpace_eq_generateFrom_of_pred_succOrder.symm #align discrete_topology_iff_order_topology_of_pred_succ' discreteTopology_iff_orderTopology_of_pred_succ' instance (priority := 100) DiscreteTopology.orderTopology_of_pred_succ' [h : DiscreteTopology α] [PartialOrder α] [PredOrder α] [SuccOrder α] [NoMinOrder α] [NoMaxOrder α] : OrderTopology α := discreteTopology_iff_orderTopology_of_pred_succ'.1 h #align discrete_topology.order_topology_of_pred_succ' DiscreteTopology.orderTopology_of_pred_succ'
Mathlib/Topology/Instances/Discrete.lean
80
108
theorem LinearOrder.bot_topologicalSpace_eq_generateFrom [LinearOrder α] [PredOrder α] [SuccOrder α] : (⊥ : TopologicalSpace α) = generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a } := by
refine (eq_bot_of_singletons_open fun a => ?_).symm have h_singleton_eq_inter : {a} = Iic a ∩ Ici a := by rw [inter_comm, Ici_inter_Iic, Icc_self a] by_cases ha_top : IsTop a · rw [ha_top.Iic_eq, inter_comm, inter_univ] at h_singleton_eq_inter by_cases ha_bot : IsBot a · rw [ha_bot.Ici_eq] at h_singleton_eq_inter rw [h_singleton_eq_inter] -- Porting note: Specified instance for `isOpen_univ` explicitly to fix an error. apply @isOpen_univ _ (generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a }) · rw [isBot_iff_isMin] at ha_bot rw [← Ioi_pred_of_not_isMin ha_bot] at h_singleton_eq_inter rw [h_singleton_eq_inter] exact isOpen_generateFrom_of_mem ⟨pred a, Or.inl rfl⟩ · rw [isTop_iff_isMax] at ha_top rw [← Iio_succ_of_not_isMax ha_top] at h_singleton_eq_inter by_cases ha_bot : IsBot a · rw [ha_bot.Ici_eq, inter_univ] at h_singleton_eq_inter rw [h_singleton_eq_inter] exact isOpen_generateFrom_of_mem ⟨succ a, Or.inr rfl⟩ · rw [isBot_iff_isMin] at ha_bot rw [← Ioi_pred_of_not_isMin ha_bot] at h_singleton_eq_inter rw [h_singleton_eq_inter] -- Porting note: Specified instance for `IsOpen.inter` explicitly to fix an error. letI := Preorder.topology α apply IsOpen.inter · exact isOpen_generateFrom_of_mem ⟨succ a, Or.inr rfl⟩ · exact isOpen_generateFrom_of_mem ⟨pred a, Or.inl rfl⟩
false
import Mathlib.MeasureTheory.Covering.VitaliFamily import Mathlib.MeasureTheory.Measure.Regular import Mathlib.MeasureTheory.Function.AEMeasurableOrder import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.MeasureTheory.Integral.Average import Mathlib.MeasureTheory.Decomposition.Lebesgue #align_import measure_theory.covering.differentiation from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure open scoped Filter ENNReal MeasureTheory NNReal Topology variable {α : Type*} [MetricSpace α] {m0 : MeasurableSpace α} {μ : Measure α} (v : VitaliFamily μ) {E : Type*} [NormedAddCommGroup E] namespace VitaliFamily noncomputable def limRatio (ρ : Measure α) (x : α) : ℝ≥0∞ := limUnder (v.filterAt x) fun a => ρ a / μ a #align vitali_family.lim_ratio VitaliFamily.limRatio theorem ae_eventually_measure_pos [SecondCountableTopology α] : ∀ᵐ x ∂μ, ∀ᶠ a in v.filterAt x, 0 < μ a := by set s := {x | ¬∀ᶠ a in v.filterAt x, 0 < μ a} with hs simp (config := { zeta := false }) only [not_lt, not_eventually, nonpos_iff_eq_zero] at hs change μ s = 0 let f : α → Set (Set α) := fun _ => {a | μ a = 0} have h : v.FineSubfamilyOn f s := by intro x hx ε εpos rw [hs] at hx simp only [frequently_filterAt_iff, exists_prop, gt_iff_lt, mem_setOf_eq] at hx rcases hx ε εpos with ⟨a, a_sets, ax, μa⟩ exact ⟨a, ⟨a_sets, μa⟩, ax⟩ refine le_antisymm ?_ bot_le calc μ s ≤ ∑' x : h.index, μ (h.covering x) := h.measure_le_tsum _ = ∑' x : h.index, 0 := by congr; ext1 x; exact h.covering_mem x.2 _ = 0 := by simp only [tsum_zero, add_zero] #align vitali_family.ae_eventually_measure_pos VitaliFamily.ae_eventually_measure_pos theorem eventually_measure_lt_top [IsLocallyFiniteMeasure μ] (x : α) : ∀ᶠ a in v.filterAt x, μ a < ∞ := (μ.finiteAt_nhds x).eventually.filter_mono inf_le_left #align vitali_family.eventually_measure_lt_top VitaliFamily.eventually_measure_lt_top
Mathlib/MeasureTheory/Covering/Differentiation.lean
125
149
theorem measure_le_of_frequently_le [SecondCountableTopology α] [BorelSpace α] {ρ : Measure α} (ν : Measure α) [IsLocallyFiniteMeasure ν] (hρ : ρ ≪ μ) (s : Set α) (hs : ∀ x ∈ s, ∃ᶠ a in v.filterAt x, ρ a ≤ ν a) : ρ s ≤ ν s := by
-- this follows from a covering argument using the sets satisfying `ρ a ≤ ν a`. apply ENNReal.le_of_forall_pos_le_add fun ε εpos _ => ?_ obtain ⟨U, sU, U_open, νU⟩ : ∃ (U : Set α), s ⊆ U ∧ IsOpen U ∧ ν U ≤ ν s + ε := exists_isOpen_le_add s ν (ENNReal.coe_pos.2 εpos).ne' let f : α → Set (Set α) := fun _ => {a | ρ a ≤ ν a ∧ a ⊆ U} have h : v.FineSubfamilyOn f s := by apply v.fineSubfamilyOn_of_frequently f s fun x hx => ?_ have := (hs x hx).and_eventually ((v.eventually_filterAt_mem_setsAt x).and (v.eventually_filterAt_subset_of_nhds (U_open.mem_nhds (sU hx)))) apply Frequently.mono this rintro a ⟨ρa, _, aU⟩ exact ⟨ρa, aU⟩ haveI : Encodable h.index := h.index_countable.toEncodable calc ρ s ≤ ∑' x : h.index, ρ (h.covering x) := h.measure_le_tsum_of_absolutelyContinuous hρ _ ≤ ∑' x : h.index, ν (h.covering x) := ENNReal.tsum_le_tsum fun x => (h.covering_mem x.2).1 _ = ν (⋃ x : h.index, h.covering x) := by rw [measure_iUnion h.covering_disjoint_subtype fun i => h.measurableSet_u i.2] _ ≤ ν U := (measure_mono (iUnion_subset fun i => (h.covering_mem i.2).2)) _ ≤ ν s + ε := νU
false
import Mathlib.Algebra.Group.Basic import Mathlib.Order.Basic import Mathlib.Order.Monotone.Basic #align_import algebra.covariant_and_contravariant from "leanprover-community/mathlib"@"2258b40dacd2942571c8ce136215350c702dc78f" -- TODO: convert `ExistsMulOfLE`, `ExistsAddOfLE`? -- TODO: relationship with `Con/AddCon` -- TODO: include equivalence of `LeftCancelSemigroup` with -- `Semigroup PartialOrder ContravariantClass α α (*) (≤)`? -- TODO : use ⇒, as per Eric's suggestion? See -- https://leanprover.zulipchat.com/#narrow/stream/116395-maths/topic/ordered.20stuff/near/236148738 -- for a discussion. open Function section Variants variable {M N : Type*} (μ : M → N → N) (r : N → N → Prop) variable (M N) def Covariant : Prop := ∀ (m) {n₁ n₂}, r n₁ n₂ → r (μ m n₁) (μ m n₂) #align covariant Covariant def Contravariant : Prop := ∀ (m) {n₁ n₂}, r (μ m n₁) (μ m n₂) → r n₁ n₂ #align contravariant Contravariant class CovariantClass : Prop where protected elim : Covariant M N μ r #align covariant_class CovariantClass class ContravariantClass : Prop where protected elim : Contravariant M N μ r #align contravariant_class ContravariantClass theorem rel_iff_cov [CovariantClass M N μ r] [ContravariantClass M N μ r] (m : M) {a b : N} : r (μ m a) (μ m b) ↔ r a b := ⟨ContravariantClass.elim _, CovariantClass.elim _⟩ #align rel_iff_cov rel_iff_cov section Covariant variable {M N μ r} [CovariantClass M N μ r] theorem act_rel_act_of_rel (m : M) {a b : N} (ab : r a b) : r (μ m a) (μ m b) := CovariantClass.elim _ ab #align act_rel_act_of_rel act_rel_act_of_rel @[to_additive]
Mathlib/Algebra/Order/Monoid/Unbundled/Defs.lean
154
160
theorem Group.covariant_iff_contravariant [Group N] : Covariant N N (· * ·) r ↔ Contravariant N N (· * ·) r := by
refine ⟨fun h a b c bc ↦ ?_, fun h a b c bc ↦ ?_⟩ · rw [← inv_mul_cancel_left a b, ← inv_mul_cancel_left a c] exact h a⁻¹ bc · rw [← inv_mul_cancel_left a b, ← inv_mul_cancel_left a c] at bc exact h a⁻¹ bc
false
import Mathlib.Topology.Order.LeftRight import Mathlib.Topology.Order.Monotone #align_import topology.algebra.order.left_right_lim from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" open Set Filter open Topology section variable {α β : Type*} [LinearOrder α] [TopologicalSpace β] noncomputable def Function.leftLim (f : α → β) (a : α) : β := by classical haveI : Nonempty β := ⟨f a⟩ letI : TopologicalSpace α := Preorder.topology α exact if 𝓝[<] a = ⊥ ∨ ¬∃ y, Tendsto f (𝓝[<] a) (𝓝 y) then f a else limUnder (𝓝[<] a) f #align function.left_lim Function.leftLim noncomputable def Function.rightLim (f : α → β) (a : α) : β := @Function.leftLim αᵒᵈ β _ _ f a #align function.right_lim Function.rightLim open Function theorem leftLim_eq_of_tendsto [hα : TopologicalSpace α] [h'α : OrderTopology α] [T2Space β] {f : α → β} {a : α} {y : β} (h : 𝓝[<] a ≠ ⊥) (h' : Tendsto f (𝓝[<] a) (𝓝 y)) : leftLim f a = y := by have h'' : ∃ y, Tendsto f (𝓝[<] a) (𝓝 y) := ⟨y, h'⟩ rw [h'α.topology_eq_generate_intervals] at h h' h'' simp only [leftLim, h, h'', not_true, or_self_iff, if_false] haveI := neBot_iff.2 h exact lim_eq h' #align left_lim_eq_of_tendsto leftLim_eq_of_tendsto theorem leftLim_eq_of_eq_bot [hα : TopologicalSpace α] [h'α : OrderTopology α] (f : α → β) {a : α} (h : 𝓝[<] a = ⊥) : leftLim f a = f a := by rw [h'α.topology_eq_generate_intervals] at h simp [leftLim, ite_eq_left_iff, h] #align left_lim_eq_of_eq_bot leftLim_eq_of_eq_bot theorem rightLim_eq_of_tendsto [TopologicalSpace α] [OrderTopology α] [T2Space β] {f : α → β} {a : α} {y : β} (h : 𝓝[>] a ≠ ⊥) (h' : Tendsto f (𝓝[>] a) (𝓝 y)) : Function.rightLim f a = y := @leftLim_eq_of_tendsto αᵒᵈ _ _ _ _ _ _ f a y h h' #align right_lim_eq_of_tendsto rightLim_eq_of_tendsto theorem rightLim_eq_of_eq_bot [TopologicalSpace α] [OrderTopology α] (f : α → β) {a : α} (h : 𝓝[>] a = ⊥) : rightLim f a = f a := @leftLim_eq_of_eq_bot αᵒᵈ _ _ _ _ _ f a h end open Function namespace Monotone variable {α β : Type*} [LinearOrder α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderTopology β] {f : α → β} (hf : Monotone f) {x y : α} theorem leftLim_eq_sSup [TopologicalSpace α] [OrderTopology α] (h : 𝓝[<] x ≠ ⊥) : leftLim f x = sSup (f '' Iio x) := leftLim_eq_of_tendsto h (hf.tendsto_nhdsWithin_Iio x) #align monotone.left_lim_eq_Sup Monotone.leftLim_eq_sSup theorem rightLim_eq_sInf [TopologicalSpace α] [OrderTopology α] (h : 𝓝[>] x ≠ ⊥) : rightLim f x = sInf (f '' Ioi x) := rightLim_eq_of_tendsto h (hf.tendsto_nhdsWithin_Ioi x) #align right_lim_eq_Inf Monotone.rightLim_eq_sInf theorem leftLim_le (h : x ≤ y) : leftLim f x ≤ f y := by letI : TopologicalSpace α := Preorder.topology α haveI : OrderTopology α := ⟨rfl⟩ rcases eq_or_ne (𝓝[<] x) ⊥ with (h' | h') · simpa [leftLim, h'] using hf h haveI A : NeBot (𝓝[<] x) := neBot_iff.2 h' rw [leftLim_eq_sSup hf h'] refine csSup_le ?_ ?_ · simp only [image_nonempty] exact (forall_mem_nonempty_iff_neBot.2 A) _ self_mem_nhdsWithin · simp only [mem_image, mem_Iio, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] intro z hz exact hf (hz.le.trans h) #align monotone.left_lim_le Monotone.leftLim_le
Mathlib/Topology/Order/LeftRightLim.lean
125
136
theorem le_leftLim (h : x < y) : f x ≤ leftLim f y := by
letI : TopologicalSpace α := Preorder.topology α haveI : OrderTopology α := ⟨rfl⟩ rcases eq_or_ne (𝓝[<] y) ⊥ with (h' | h') · rw [leftLim_eq_of_eq_bot _ h'] exact hf h.le rw [leftLim_eq_sSup hf h'] refine le_csSup ⟨f y, ?_⟩ (mem_image_of_mem _ h) simp only [upperBounds, mem_image, mem_Iio, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂, mem_setOf_eq] intro z hz exact hf hz.le
true
import Mathlib.Algebra.Polynomial.Module.Basic import Mathlib.Analysis.Calculus.Deriv.Pow import Mathlib.Analysis.Calculus.IteratedDeriv.Defs import Mathlib.Analysis.Calculus.MeanValue #align_import analysis.calculus.taylor from "leanprover-community/mathlib"@"3a69562db5a458db8322b190ec8d9a8bbd8a5b14" open scoped Interval Topology Nat open Set variable {𝕜 E F : Type*} variable [NormedAddCommGroup E] [NormedSpace ℝ E] noncomputable def taylorCoeffWithin (f : ℝ → E) (k : ℕ) (s : Set ℝ) (x₀ : ℝ) : E := (k ! : ℝ)⁻¹ • iteratedDerivWithin k f s x₀ #align taylor_coeff_within taylorCoeffWithin noncomputable def taylorWithin (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) : PolynomialModule ℝ E := (Finset.range (n + 1)).sum fun k => PolynomialModule.comp (Polynomial.X - Polynomial.C x₀) (PolynomialModule.single ℝ k (taylorCoeffWithin f k s x₀)) #align taylor_within taylorWithin noncomputable def taylorWithinEval (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) : E := PolynomialModule.eval x (taylorWithin f n s x₀) #align taylor_within_eval taylorWithinEval theorem taylorWithin_succ (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) : taylorWithin f (n + 1) s x₀ = taylorWithin f n s x₀ + PolynomialModule.comp (Polynomial.X - Polynomial.C x₀) (PolynomialModule.single ℝ (n + 1) (taylorCoeffWithin f (n + 1) s x₀)) := by dsimp only [taylorWithin] rw [Finset.sum_range_succ] #align taylor_within_succ taylorWithin_succ @[simp] theorem taylorWithinEval_succ (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) : taylorWithinEval f (n + 1) s x₀ x = taylorWithinEval f n s x₀ x + (((n + 1 : ℝ) * n !)⁻¹ * (x - x₀) ^ (n + 1)) • iteratedDerivWithin (n + 1) f s x₀ := by simp_rw [taylorWithinEval, taylorWithin_succ, LinearMap.map_add, PolynomialModule.comp_eval] congr simp only [Polynomial.eval_sub, Polynomial.eval_X, Polynomial.eval_C, PolynomialModule.eval_single, mul_inv_rev] dsimp only [taylorCoeffWithin] rw [← mul_smul, mul_comm, Nat.factorial_succ, Nat.cast_mul, Nat.cast_add, Nat.cast_one, mul_inv_rev] #align taylor_within_eval_succ taylorWithinEval_succ @[simp] theorem taylor_within_zero_eval (f : ℝ → E) (s : Set ℝ) (x₀ x : ℝ) : taylorWithinEval f 0 s x₀ x = f x₀ := by dsimp only [taylorWithinEval] dsimp only [taylorWithin] dsimp only [taylorCoeffWithin] simp #align taylor_within_zero_eval taylor_within_zero_eval @[simp] theorem taylorWithinEval_self (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) : taylorWithinEval f n s x₀ x₀ = f x₀ := by induction' n with k hk · exact taylor_within_zero_eval _ _ _ _ simp [hk] #align taylor_within_eval_self taylorWithinEval_self
Mathlib/Analysis/Calculus/Taylor.lean
114
120
theorem taylor_within_apply (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) : taylorWithinEval f n s x₀ x = ∑ k ∈ Finset.range (n + 1), ((k ! : ℝ)⁻¹ * (x - x₀) ^ k) • iteratedDerivWithin k f s x₀ := by
induction' n with k hk · simp rw [taylorWithinEval_succ, Finset.sum_range_succ, hk] simp [Nat.factorial]
true
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Coxeter.Basic namespace CoxeterSystem open List Matrix Function Classical 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 private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by rcases cs.wordProd_surjective w with ⟨ω, rfl⟩ use ω.length, ω noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w) local prefix:100 "ℓ" => cs.length theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by have := Nat.find_spec (cs.exists_word_with_prod w) tauto theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length := Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩ @[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le []) @[simp] theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h) rw [this, wordProd_nil] · rintro rfl exact cs.length_one @[simp] theorem length_inv (w : W) : ℓ (w⁻¹) = ℓ w := by apply Nat.le_antisymm · rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, hω] at this · rcases cs.exists_reduced_word w⁻¹ with ⟨ω, hω, h'ω⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, ← h'ω, hω, inv_inv] at this theorem length_mul_le (w₁ w₂ : W) : ℓ (w₁ * w₂) ≤ ℓ w₁ + ℓ w₂ := by rcases cs.exists_reduced_word w₁ with ⟨ω₁, hω₁, rfl⟩ rcases cs.exists_reduced_word w₂ with ⟨ω₂, hω₂, rfl⟩ have := cs.length_wordProd_le (ω₁ ++ ω₂) simpa [hω₁, hω₂, wordProd_append] using this theorem length_mul_ge_length_sub_length (w₁ w₂ : W) : ℓ w₁ - ℓ w₂ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add] using cs.length_mul_le (w₁ * w₂) w₂⁻¹ theorem length_mul_ge_length_sub_length' (w₁ w₂ : W) : ℓ w₂ - ℓ w₁ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add, add_comm] using cs.length_mul_le w₁⁻¹ (w₁ * w₂) theorem length_mul_ge_max (w₁ w₂ : W) : max (ℓ w₁ - ℓ w₂) (ℓ w₂ - ℓ w₁) ≤ ℓ (w₁ * w₂) := max_le_iff.mpr ⟨length_mul_ge_length_sub_length _ _ _, length_mul_ge_length_sub_length' _ _ _⟩ def lengthParity : W →* Multiplicative (ZMod 2) := cs.lift ⟨fun _ ↦ Multiplicative.ofAdd 1, by simp_rw [CoxeterMatrix.IsLiftable, ← ofAdd_add, (by decide : (1 + 1 : ZMod 2) = 0)] simp⟩ theorem lengthParity_simple (i : B): cs.lengthParity (s i) = Multiplicative.ofAdd 1 := cs.lift_apply_simple _ _ theorem lengthParity_comp_simple : cs.lengthParity ∘ cs.simple = fun _ ↦ Multiplicative.ofAdd 1 := funext cs.lengthParity_simple theorem lengthParity_eq_ofAdd_length (w : W) : cs.lengthParity w = Multiplicative.ofAdd (↑(ℓ w)) := by rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rw [← hω, wordProd, map_list_prod, List.map_map, lengthParity_comp_simple, map_const', prod_replicate, ← ofAdd_nsmul, nsmul_one] theorem length_mul_mod_two (w₁ w₂ : W) : ℓ (w₁ * w₂) % 2 = (ℓ w₁ + ℓ w₂) % 2 := by rw [← ZMod.natCast_eq_natCast_iff', Nat.cast_add] simpa only [lengthParity_eq_ofAdd_length, ofAdd_add] using map_mul cs.lengthParity w₁ w₂ @[simp] theorem length_simple (i : B) : ℓ (s i) = 1 := by apply Nat.le_antisymm · simpa using cs.length_wordProd_le [i] · by_contra! length_lt_one have : cs.lengthParity (s i) = Multiplicative.ofAdd 0 := by rw [lengthParity_eq_ofAdd_length, Nat.lt_one_iff.mp length_lt_one, Nat.cast_zero] have : Multiplicative.ofAdd (0 : ZMod 2) = Multiplicative.ofAdd 1 := this.symm.trans (cs.lengthParity_simple i) contradiction
Mathlib/GroupTheory/Coxeter/Length.lean
152
159
theorem length_eq_one_iff {w : W} : ℓ w = 1 ↔ ∃ i : B, w = s i := by
constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rcases List.length_eq_one.mp (hω.trans h) with ⟨i, rfl⟩ exact ⟨i, cs.wordProd_singleton i⟩ · rintro ⟨i, rfl⟩ exact cs.length_simple i
true
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp] theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd] #align vsub_add_vsub_cancel vsub_add_vsub_cancel @[simp] theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_) rw [vsub_add_vsub_cancel, vsub_self] #align neg_vsub_eq_vsub_rev neg_vsub_eq_vsub_rev theorem vadd_vsub_eq_sub_vsub (g : G) (p q : P) : g +ᵥ p -ᵥ q = g - (q -ᵥ p) := by rw [vadd_vsub_assoc, sub_eq_add_neg, neg_vsub_eq_vsub_rev] #align vadd_vsub_eq_sub_vsub vadd_vsub_eq_sub_vsub
Mathlib/Algebra/AddTorsor.lean
165
167
theorem vsub_vadd_eq_vsub_sub (p₁ p₂ : P) (g : G) : p₁ -ᵥ (g +ᵥ p₂) = p₁ -ᵥ p₂ - g := by
rw [← add_right_inj (p₂ -ᵥ p₁ : G), vsub_add_vsub_cancel, ← neg_vsub_eq_vsub_rev, vadd_vsub, ← add_sub_assoc, ← neg_vsub_eq_vsub_rev, neg_add_self, zero_sub]
false
import Mathlib.CategoryTheory.Subobject.Lattice #align_import category_theory.subobject.limits from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d" universe v u noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject Opposite variable {C : Type u} [Category.{v} C] {X Y Z : C} namespace CategoryTheory namespace Limits section Kernel variable [HasZeroMorphisms C] (f : X ⟶ Y) [HasKernel f] abbrev kernelSubobject : Subobject X := Subobject.mk (kernel.ι f) #align category_theory.limits.kernel_subobject CategoryTheory.Limits.kernelSubobject def kernelSubobjectIso : (kernelSubobject f : C) ≅ kernel f := Subobject.underlyingIso (kernel.ι f) #align category_theory.limits.kernel_subobject_iso CategoryTheory.Limits.kernelSubobjectIso @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobject_arrow : (kernelSubobjectIso f).hom ≫ kernel.ι f = (kernelSubobject f).arrow := by simp [kernelSubobjectIso] #align category_theory.limits.kernel_subobject_arrow CategoryTheory.Limits.kernelSubobject_arrow @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobject_arrow' : (kernelSubobjectIso f).inv ≫ (kernelSubobject f).arrow = kernel.ι f := by simp [kernelSubobjectIso] #align category_theory.limits.kernel_subobject_arrow' CategoryTheory.Limits.kernelSubobject_arrow' @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobject_arrow_comp : (kernelSubobject f).arrow ≫ f = 0 := by rw [← kernelSubobject_arrow] simp only [Category.assoc, kernel.condition, comp_zero] #align category_theory.limits.kernel_subobject_arrow_comp CategoryTheory.Limits.kernelSubobject_arrow_comp theorem kernelSubobject_factors {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : (kernelSubobject f).Factors h := ⟨kernel.lift _ h w, by simp⟩ #align category_theory.limits.kernel_subobject_factors CategoryTheory.Limits.kernelSubobject_factors theorem kernelSubobject_factors_iff {W : C} (h : W ⟶ X) : (kernelSubobject f).Factors h ↔ h ≫ f = 0 := ⟨fun w => by rw [← Subobject.factorThru_arrow _ _ w, Category.assoc, kernelSubobject_arrow_comp, comp_zero], kernelSubobject_factors f h⟩ #align category_theory.limits.kernel_subobject_factors_iff CategoryTheory.Limits.kernelSubobject_factors_iff def factorThruKernelSubobject {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : W ⟶ kernelSubobject f := (kernelSubobject f).factorThru h (kernelSubobject_factors f h w) #align category_theory.limits.factor_thru_kernel_subobject CategoryTheory.Limits.factorThruKernelSubobject @[simp] theorem factorThruKernelSubobject_comp_arrow {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : factorThruKernelSubobject f h w ≫ (kernelSubobject f).arrow = h := by dsimp [factorThruKernelSubobject] simp #align category_theory.limits.factor_thru_kernel_subobject_comp_arrow CategoryTheory.Limits.factorThruKernelSubobject_comp_arrow @[simp] theorem factorThruKernelSubobject_comp_kernelSubobjectIso {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : factorThruKernelSubobject f h w ≫ (kernelSubobjectIso f).hom = kernel.lift f h w := (cancel_mono (kernel.ι f)).1 <| by simp #align category_theory.limits.factor_thru_kernel_subobject_comp_kernel_subobject_iso CategoryTheory.Limits.factorThruKernelSubobject_comp_kernelSubobjectIso section variable {f} {X' Y' : C} {f' : X' ⟶ Y'} [HasKernel f'] def kernelSubobjectMap (sq : Arrow.mk f ⟶ Arrow.mk f') : (kernelSubobject f : C) ⟶ (kernelSubobject f' : C) := Subobject.factorThru _ ((kernelSubobject f).arrow ≫ sq.left) (kernelSubobject_factors _ _ (by simp [sq.w])) #align category_theory.limits.kernel_subobject_map CategoryTheory.Limits.kernelSubobjectMap @[reassoc (attr := simp), elementwise (attr := simp)] theorem kernelSubobjectMap_arrow (sq : Arrow.mk f ⟶ Arrow.mk f') : kernelSubobjectMap sq ≫ (kernelSubobject f').arrow = (kernelSubobject f).arrow ≫ sq.left := by simp [kernelSubobjectMap] #align category_theory.limits.kernel_subobject_map_arrow CategoryTheory.Limits.kernelSubobjectMap_arrow @[simp]
Mathlib/CategoryTheory/Subobject/Limits.lean
164
164
theorem kernelSubobjectMap_id : kernelSubobjectMap (𝟙 (Arrow.mk f)) = 𝟙 _ := by
aesop_cat
false
import Mathlib.Algebra.CharP.Invertible import Mathlib.Algebra.MvPolynomial.Variables import Mathlib.Algebra.MvPolynomial.CommRing import Mathlib.Algebra.MvPolynomial.Expand import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.ZMod.Basic #align_import ring_theory.witt_vector.witt_polynomial from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" open MvPolynomial open Finset hiding map open Finsupp (single) --attribute [-simp] coe_eval₂_hom variable (p : ℕ) variable (R : Type*) [CommRing R] [DecidableEq R] noncomputable def wittPolynomial (n : ℕ) : MvPolynomial ℕ R := ∑ i ∈ range (n + 1), monomial (single i (p ^ (n - i))) ((p : R) ^ i) #align witt_polynomial wittPolynomial theorem wittPolynomial_eq_sum_C_mul_X_pow (n : ℕ) : wittPolynomial p R n = ∑ i ∈ range (n + 1), C ((p : R) ^ i) * X i ^ p ^ (n - i) := by apply sum_congr rfl rintro i - rw [monomial_eq, Finsupp.prod_single_index] rw [pow_zero] set_option linter.uppercaseLean3 false in #align witt_polynomial_eq_sum_C_mul_X_pow wittPolynomial_eq_sum_C_mul_X_pow -- Notation with ring of coefficients explicit set_option quotPrecheck false in @[inherit_doc] scoped[Witt] notation "W_" => wittPolynomial p -- Notation with ring of coefficients implicit set_option quotPrecheck false in @[inherit_doc] scoped[Witt] notation "W" => wittPolynomial p _ open Witt open MvPolynomial section variable {R} {S : Type*} [CommRing S] @[simp] theorem map_wittPolynomial (f : R →+* S) (n : ℕ) : map f (W n) = W n := by rw [wittPolynomial, map_sum, wittPolynomial] refine sum_congr rfl fun i _ => ?_ rw [map_monomial, RingHom.map_pow, map_natCast] #align map_witt_polynomial map_wittPolynomial variable (R) @[simp] theorem constantCoeff_wittPolynomial [hp : Fact p.Prime] (n : ℕ) : constantCoeff (wittPolynomial p R n) = 0 := by simp only [wittPolynomial, map_sum, constantCoeff_monomial] rw [sum_eq_zero] rintro i _ rw [if_neg] rw [Finsupp.single_eq_zero] exact ne_of_gt (pow_pos hp.1.pos _) #align constant_coeff_witt_polynomial constantCoeff_wittPolynomial @[simp] theorem wittPolynomial_zero : wittPolynomial p R 0 = X 0 := by simp only [wittPolynomial, X, sum_singleton, range_one, pow_zero, zero_add, tsub_self] #align witt_polynomial_zero wittPolynomial_zero @[simp] theorem wittPolynomial_one : wittPolynomial p R 1 = C (p : R) * X 1 + X 0 ^ p := by simp only [wittPolynomial_eq_sum_C_mul_X_pow, sum_range_succ_comm, range_one, sum_singleton, one_mul, pow_one, C_1, pow_zero, tsub_self, tsub_zero] #align witt_polynomial_one wittPolynomial_one theorem aeval_wittPolynomial {A : Type*} [CommRing A] [Algebra R A] (f : ℕ → A) (n : ℕ) : aeval f (W_ R n) = ∑ i ∈ range (n + 1), (p : A) ^ i * f i ^ p ^ (n - i) := by simp [wittPolynomial, AlgHom.map_sum, aeval_monomial, Finsupp.prod_single_index] #align aeval_witt_polynomial aeval_wittPolynomial @[simp] theorem wittPolynomial_zmod_self (n : ℕ) : W_ (ZMod (p ^ (n + 1))) (n + 1) = expand p (W_ (ZMod (p ^ (n + 1))) n) := by simp only [wittPolynomial_eq_sum_C_mul_X_pow] rw [sum_range_succ, ← Nat.cast_pow, CharP.cast_eq_zero (ZMod (p ^ (n + 1))) (p ^ (n + 1)), C_0, zero_mul, add_zero, AlgHom.map_sum, sum_congr rfl] intro k hk rw [AlgHom.map_mul, AlgHom.map_pow, expand_X, algHom_C, ← pow_mul, ← pow_succ'] congr rw [mem_range] at hk rw [add_comm, add_tsub_assoc_of_le (Nat.lt_succ_iff.mp hk), ← add_comm] #align witt_polynomial_zmod_self wittPolynomial_zmod_self section PPrime variable [hp : NeZero p]
Mathlib/RingTheory/WittVector/WittPolynomial.lean
170
181
theorem wittPolynomial_vars [CharZero R] (n : ℕ) : (wittPolynomial p R n).vars = range (n + 1) := by
have : ∀ i, (monomial (Finsupp.single i (p ^ (n - i))) ((p : R) ^ i)).vars = {i} := by intro i refine vars_monomial_single i (pow_ne_zero _ hp.1) ?_ rw [← Nat.cast_pow, Nat.cast_ne_zero] exact pow_ne_zero i hp.1 rw [wittPolynomial, vars_sum_of_disjoint] · simp only [this, biUnion_singleton_eq_self] · simp only [this] intro a b h apply disjoint_singleton_left.mpr rwa [mem_singleton]
false
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
Mathlib/Algebra/Order/Pointwise.lean
197
208
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)]
false
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.Mul import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal #align_import analysis.mean_inequalities_pow from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" universe u v open Finset open scoped Classical open NNReal ENNReal noncomputable section variable {ι : Type u} (s : Finset ι) namespace Real theorem pow_arith_mean_le_arith_mean_pow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (n : ℕ) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := (convexOn_pow n).map_sum_le hw hw' hz #align real.pow_arith_mean_le_arith_mean_pow Real.pow_arith_mean_le_arith_mean_pow theorem pow_arith_mean_le_arith_mean_pow_of_even (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) {n : ℕ} (hn : Even n) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := hn.convexOn_pow.map_sum_le hw hw' fun _ _ => Set.mem_univ _ #align real.pow_arith_mean_le_arith_mean_pow_of_even Real.pow_arith_mean_le_arith_mean_pow_of_even theorem pow_sum_div_card_le_sum_pow {f : ι → ℝ} (n : ℕ) (hf : ∀ a ∈ s, 0 ≤ f a) : (∑ x ∈ s, f x) ^ (n + 1) / (s.card : ℝ) ^ n ≤ ∑ x ∈ s, f x ^ (n + 1) := by rcases s.eq_empty_or_nonempty with (rfl | hs) · simp_rw [Finset.sum_empty, zero_pow n.succ_ne_zero, zero_div]; rfl · have hs0 : 0 < (s.card : ℝ) := Nat.cast_pos.2 hs.card_pos suffices (∑ x ∈ s, f x / s.card) ^ (n + 1) ≤ ∑ x ∈ s, f x ^ (n + 1) / s.card by rwa [← Finset.sum_div, ← Finset.sum_div, div_pow, pow_succ (s.card : ℝ), ← div_div, div_le_iff hs0, div_mul, div_self hs0.ne', div_one] at this have := @ConvexOn.map_sum_le ℝ ℝ ℝ ι _ _ _ _ _ _ (Set.Ici 0) (fun x => x ^ (n + 1)) s (fun _ => 1 / s.card) ((↑) ∘ f) (convexOn_pow (n + 1)) ?_ ?_ fun i hi => Set.mem_Ici.2 (hf i hi) · simpa only [inv_mul_eq_div, one_div, Algebra.id.smul_eq_mul] using this · simp only [one_div, inv_nonneg, Nat.cast_nonneg, imp_true_iff] · simpa only [one_div, Finset.sum_const, nsmul_eq_mul] using mul_inv_cancel hs0.ne' #align real.pow_sum_div_card_le_sum_pow Real.pow_sum_div_card_le_sum_pow theorem zpow_arith_mean_le_arith_mean_zpow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 < z i) (m : ℤ) : (∑ i ∈ s, w i * z i) ^ m ≤ ∑ i ∈ s, w i * z i ^ m := (convexOn_zpow m).map_sum_le hw hw' hz #align real.zpow_arith_mean_le_arith_mean_zpow Real.zpow_arith_mean_le_arith_mean_zpow theorem rpow_arith_mean_le_arith_mean_rpow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) {p : ℝ} (hp : 1 ≤ p) : (∑ i ∈ s, w i * z i) ^ p ≤ ∑ i ∈ s, w i * z i ^ p := (convexOn_rpow hp).map_sum_le hw hw' hz #align real.rpow_arith_mean_le_arith_mean_rpow Real.rpow_arith_mean_le_arith_mean_rpow
Mathlib/Analysis/MeanInequalitiesPow.lean
101
110
theorem arith_mean_le_rpow_mean (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) {p : ℝ} (hp : 1 ≤ p) : ∑ i ∈ s, w i * z i ≤ (∑ i ∈ s, w i * z i ^ p) ^ (1 / p) := by
have : 0 < p := by positivity rw [← rpow_le_rpow_iff _ _ this, ← rpow_mul, one_div_mul_cancel (ne_of_gt this), rpow_one] · exact rpow_arith_mean_le_arith_mean_rpow s w z hw hw' hz hp all_goals apply_rules [sum_nonneg, rpow_nonneg] intro i hi apply_rules [mul_nonneg, rpow_nonneg, hw i hi, hz i hi]
true
import Mathlib.Analysis.Convex.Gauge import Mathlib.Analysis.Convex.Normed open Metric Bornology Filter Set open scoped NNReal Topology Pointwise noncomputable section section Module variable {E : Type*} [AddCommGroup E] [Module ℝ E] def gaugeRescale (s t : Set E) (x : E) : E := (gauge s x / gauge t x) • x theorem gaugeRescale_def (s t : Set E) (x : E) : gaugeRescale s t x = (gauge s x / gauge t x) • x := rfl @[simp] theorem gaugeRescale_zero (s t : Set E) : gaugeRescale s t 0 = 0 := smul_zero _ theorem gaugeRescale_smul (s t : Set E) {c : ℝ} (hc : 0 ≤ c) (x : E) : gaugeRescale s t (c • x) = c • gaugeRescale s t x := by simp only [gaugeRescale, gauge_smul_of_nonneg hc, smul_smul, smul_eq_mul] rw [mul_div_mul_comm, mul_right_comm, div_self_mul_self] variable [TopologicalSpace E] [T1Space E] theorem gaugeRescale_self_apply {s : Set E} (hsa : Absorbent ℝ s) (hsb : IsVonNBounded ℝ s) (x : E) : gaugeRescale s s x = x := by rcases eq_or_ne x 0 with rfl | hx; · simp rw [gaugeRescale, div_self, one_smul] exact ((gauge_pos hsa hsb).2 hx).ne' theorem gaugeRescale_self {s : Set E} (hsa : Absorbent ℝ s) (hsb : IsVonNBounded ℝ s) : gaugeRescale s s = id := funext <| gaugeRescale_self_apply hsa hsb theorem gauge_gaugeRescale' (s : Set E) {t : Set E} {x : E} (hx : gauge t x ≠ 0) : gauge t (gaugeRescale s t x) = gauge s x := by rw [gaugeRescale, gauge_smul_of_nonneg (div_nonneg (gauge_nonneg _) (gauge_nonneg _)), smul_eq_mul, div_mul_cancel₀ _ hx] theorem gauge_gaugeRescale (s : Set E) {t : Set E} (hta : Absorbent ℝ t) (htb : IsVonNBounded ℝ t) (x : E) : gauge t (gaugeRescale s t x) = gauge s x := by rcases eq_or_ne x 0 with rfl | hx · simp · exact gauge_gaugeRescale' s ((gauge_pos hta htb).2 hx).ne' theorem gauge_gaugeRescale_le (s t : Set E) (x : E) : gauge t (gaugeRescale s t x) ≤ gauge s x := by by_cases hx : gauge t x = 0 · simp [gaugeRescale, hx, gauge_nonneg] · exact (gauge_gaugeRescale' s hx).le
Mathlib/Analysis/Convex/GaugeRescale.lean
75
80
theorem gaugeRescale_gaugeRescale {s t u : Set E} (hta : Absorbent ℝ t) (htb : IsVonNBounded ℝ t) (x : E) : gaugeRescale t u (gaugeRescale s t x) = gaugeRescale s u x := by
rcases eq_or_ne x 0 with rfl | hx; · simp rw [gaugeRescale_def s t x, gaugeRescale_smul, gaugeRescale, gaugeRescale, smul_smul, div_mul_div_cancel] exacts [((gauge_pos hta htb).2 hx).ne', div_nonneg (gauge_nonneg _) (gauge_nonneg _)]
false
import Mathlib.Probability.Notation import Mathlib.Probability.Density import Mathlib.Probability.ConditionalProbability import Mathlib.Probability.ProbabilityMassFunction.Constructions open scoped Classical MeasureTheory NNReal ENNReal -- TODO: We can't `open ProbabilityTheory` without opening the `ProbabilityTheory` locale :( open TopologicalSpace MeasureTheory.Measure PMF noncomputable section namespace MeasureTheory variable {E : Type*} [MeasurableSpace E] {m : Measure E} {μ : Measure E} namespace pdf variable {Ω : Type*} variable {_ : MeasurableSpace Ω} {ℙ : Measure Ω} def IsUniform (X : Ω → E) (s : Set E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) := map X ℙ = ProbabilityTheory.cond μ s #align measure_theory.pdf.is_uniform MeasureTheory.pdf.IsUniform namespace IsUniform theorem aemeasurable {X : Ω → E} {s : Set E} (hns : μ s ≠ 0) (hnt : μ s ≠ ∞) (hu : IsUniform X s ℙ μ) : AEMeasurable X ℙ := by dsimp [IsUniform, ProbabilityTheory.cond] at hu by_contra h rw [map_of_not_aemeasurable h] at hu apply zero_ne_one' ℝ≥0∞ calc 0 = (0 : Measure E) Set.univ := rfl _ = _ := by rw [hu, smul_apply, restrict_apply MeasurableSet.univ, Set.univ_inter, smul_eq_mul, ENNReal.inv_mul_cancel hns hnt]
Mathlib/Probability/Distributions/Uniform.lean
77
78
theorem absolutelyContinuous {X : Ω → E} {s : Set E} (hu : IsUniform X s ℙ μ) : map X ℙ ≪ μ := by
rw [hu]; exact ProbabilityTheory.cond_absolutelyContinuous
false
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]
true
import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.RingTheory.LocalProperties #align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 universe u open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop) namespace RingHom variable {P} theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _ (Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _ (X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _ (Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso, ← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r))) (X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff] congr delta IsLocalization.Away.map refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_ generalize_proofs haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r) -- Porting note: needs to be very explicit here convert (@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r)) _ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1 change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _ rw [f.val.c.naturality_assoc] simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp] congr 1 #align ring_hom.respects_iso.basic_open_iff RingHom.RespectsIso.basicOpen_iff theorem RespectsIso.basicOpen_iff_localization (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map f.op) r) := by refine (hP.basicOpen_iff _ _).trans ?_ -- Porting note: was a one line term mode proof, but this `dsimp` is vital so the term mode -- one liner is not possible dsimp rw [← hP.is_localization_away_iff] #align ring_hom.respects_iso.basic_open_iff_localization RingHom.RespectsIso.basicOpen_iff_localization @[deprecated (since := "2024-03-02")] alias RespectsIso.ofRestrict_morphismRestrict_iff_of_isAffine := RespectsIso.basicOpen_iff_localization theorem RespectsIso.ofRestrict_morphismRestrict_iff (hP : RingHom.RespectsIso @P) {X Y : Scheme.{u}} [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) (U : Opens X.carrier) (hU : IsAffineOpen U) {V : Opens _} (e : V = (Scheme.ιOpens <| f ⁻¹ᵁ Y.basicOpen r) ⁻¹ᵁ U) : P (Scheme.Γ.map (Scheme.ιOpens V ≫ f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map (Scheme.ιOpens U ≫ f).op) r) := by subst e refine (hP.cancel_right_isIso _ (Scheme.Γ.mapIso (Scheme.restrictRestrictComm _ _ _).op).inv).symm.trans ?_ haveI : IsAffine _ := hU rw [← hP.basicOpen_iff_localization, iff_iff_eq] congr 1 simp only [Functor.mapIso_inv, Iso.op_inv, ← Functor.map_comp, ← op_comp, morphismRestrict_comp] rw [← Category.assoc] congr 3 rw [← cancel_mono (Scheme.ιOpens _), Category.assoc, Scheme.restrictRestrictComm, IsOpenImmersion.isoOfRangeEq_inv_fac, morphismRestrict_ι] #align ring_hom.respects_iso.of_restrict_morphism_restrict_iff RingHom.RespectsIso.ofRestrict_morphismRestrict_iff
Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean
105
123
theorem StableUnderBaseChange.Γ_pullback_fst (hP : StableUnderBaseChange @P) (hP' : RespectsIso @P) {X Y S : Scheme} [IsAffine X] [IsAffine Y] [IsAffine S] (f : X ⟶ S) (g : Y ⟶ S) (H : P (Scheme.Γ.map g.op)) : P (Scheme.Γ.map (pullback.fst : pullback f g ⟶ _).op) := by
-- Porting note (#11224): change `rw` to `erw` erw [← PreservesPullback.iso_inv_fst AffineScheme.forgetToScheme (AffineScheme.ofHom f) (AffineScheme.ofHom g)] rw [op_comp, Functor.map_comp, hP'.cancel_right_isIso, AffineScheme.forgetToScheme_map] have := _root_.congr_arg Quiver.Hom.unop (PreservesPullback.iso_hom_fst AffineScheme.Γ.rightOp (AffineScheme.ofHom f) (AffineScheme.ofHom g)) simp only [Quiver.Hom.unop_op, Functor.rightOp_map, unop_comp] at this delta AffineScheme.Γ at this simp only [Quiver.Hom.unop_op, Functor.comp_map, AffineScheme.forgetToScheme_map, Functor.op_map] at this rw [← this, hP'.cancel_right_isIso, ← pushoutIsoUnopPullback_inl_hom (Quiver.Hom.unop _) (Quiver.Hom.unop _), hP'.cancel_right_isIso] exact hP.pushout_inl _ hP' _ _ H
false
import Mathlib.CategoryTheory.Abelian.Subobject import Mathlib.CategoryTheory.Limits.EssentiallySmall import Mathlib.CategoryTheory.Preadditive.Injective import Mathlib.CategoryTheory.Preadditive.Generator import Mathlib.CategoryTheory.Abelian.Opposite #align_import category_theory.abelian.generator from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open CategoryTheory CategoryTheory.Limits Opposite universe v u namespace CategoryTheory.Abelian variable {C : Type u} [Category.{v} C] [Abelian C] theorem has_injective_coseparator [HasLimits C] [EnoughInjectives C] (G : C) (hG : IsSeparator G) : ∃ G : C, Injective G ∧ IsCoseparator G := by haveI : WellPowered C := wellPowered_of_isDetector G hG.isDetector haveI : HasProductsOfShape (Subobject (op G)) C := hasProductsOfShape_of_small _ _ let T : C := Injective.under (piObj fun P : Subobject (op G) => unop P) refine ⟨T, inferInstance, (Preadditive.isCoseparator_iff _).2 fun X Y f hf => ?_⟩ refine (Preadditive.isSeparator_iff _).1 hG _ fun h => ?_ suffices hh : factorThruImage (h ≫ f) = 0 by rw [← Limits.image.fac (h ≫ f), hh, zero_comp] let R := Subobject.mk (factorThruImage (h ≫ f)).op let q₁ : image (h ≫ f) ⟶ unop R := (Subobject.underlyingIso (factorThruImage (h ≫ f)).op).unop.hom let q₂ : unop (R : Cᵒᵖ) ⟶ piObj fun P : Subobject (op G) => unop P := section_ (Pi.π (fun P : Subobject (op G) => (unop P : C)) R) let q : image (h ≫ f) ⟶ T := q₁ ≫ q₂ ≫ Injective.ι _ exact zero_of_comp_mono q (by rw [← Injective.comp_factorThru q (Limits.image.ι (h ≫ f)), Limits.image.fac_assoc, Category.assoc, hf, comp_zero]) #align category_theory.abelian.has_injective_coseparator CategoryTheory.Abelian.has_injective_coseparator
Mathlib/CategoryTheory/Abelian/Generator.lean
55
58
theorem has_projective_separator [HasColimits C] [EnoughProjectives C] (G : C) (hG : IsCoseparator G) : ∃ G : C, Projective G ∧ IsSeparator G := by
obtain ⟨T, hT₁, hT₂⟩ := has_injective_coseparator (op G) ((isSeparator_op_iff _).2 hG) exact ⟨unop T, inferInstance, (isSeparator_unop_iff _).2 hT₂⟩
false
import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.Convex.Strict import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Analysis.NormedSpace.Ray #align_import analysis.convex.strict_convex_space from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" open Convex Pointwise Set Metric class StrictConvexSpace (𝕜 E : Type*) [NormedLinearOrderedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] : Prop where strictConvex_closedBall : ∀ r : ℝ, 0 < r → StrictConvex 𝕜 (closedBall (0 : E) r) #align strict_convex_space StrictConvexSpace variable (𝕜 : Type*) {E : Type*} [NormedLinearOrderedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] theorem strictConvex_closedBall [StrictConvexSpace 𝕜 E] (x : E) (r : ℝ) : StrictConvex 𝕜 (closedBall x r) := by rcases le_or_lt r 0 with hr | hr · exact (subsingleton_closedBall x hr).strictConvex rw [← vadd_closedBall_zero] exact (StrictConvexSpace.strictConvex_closedBall r hr).vadd _ #align strict_convex_closed_ball strictConvex_closedBall variable [NormedSpace ℝ E] theorem StrictConvexSpace.of_strictConvex_closed_unit_ball [LinearMap.CompatibleSMul E E 𝕜 ℝ] (h : StrictConvex 𝕜 (closedBall (0 : E) 1)) : StrictConvexSpace 𝕜 E := ⟨fun r hr => by simpa only [smul_closedUnitBall_of_nonneg hr.le] using h.smul r⟩ #align strict_convex_space.of_strict_convex_closed_unit_ball StrictConvexSpace.of_strictConvex_closed_unit_ball theorem StrictConvexSpace.of_norm_combo_lt_one (h : ∀ x y : E, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ∃ a b : ℝ, a + b = 1 ∧ ‖a • x + b • y‖ < 1) : StrictConvexSpace ℝ E := by refine StrictConvexSpace.of_strictConvex_closed_unit_ball ℝ ((convex_closedBall _ _).strictConvex' fun x hx y hy hne => ?_) rw [interior_closedBall (0 : E) one_ne_zero, closedBall_diff_ball, mem_sphere_zero_iff_norm] at hx hy rcases h x y hx hy hne with ⟨a, b, hab, hlt⟩ use b rwa [AffineMap.lineMap_apply_module, interior_closedBall (0 : E) one_ne_zero, mem_ball_zero_iff, sub_eq_iff_eq_add.2 hab.symm] #align strict_convex_space.of_norm_combo_lt_one StrictConvexSpace.of_norm_combo_lt_one theorem StrictConvexSpace.of_norm_combo_ne_one (h : ∀ x y : E, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ∃ a b : ℝ, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ ‖a • x + b • y‖ ≠ 1) : StrictConvexSpace ℝ E := by refine StrictConvexSpace.of_strictConvex_closed_unit_ball ℝ ((convex_closedBall _ _).strictConvex ?_) simp only [interior_closedBall _ one_ne_zero, closedBall_diff_ball, Set.Pairwise, frontier_closedBall _ one_ne_zero, mem_sphere_zero_iff_norm] intro x hx y hy hne rcases h x y hx hy hne with ⟨a, b, ha, hb, hab, hne'⟩ exact ⟨_, ⟨a, b, ha, hb, hab, rfl⟩, mt mem_sphere_zero_iff_norm.1 hne'⟩ #align strict_convex_space.of_norm_combo_ne_one StrictConvexSpace.of_norm_combo_ne_one theorem StrictConvexSpace.of_norm_add_ne_two (h : ∀ ⦃x y : E⦄, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ‖x + y‖ ≠ 2) : StrictConvexSpace ℝ E := by refine StrictConvexSpace.of_norm_combo_ne_one fun x y hx hy hne => ⟨1 / 2, 1 / 2, one_half_pos.le, one_half_pos.le, add_halves _, ?_⟩ rw [← smul_add, norm_smul, Real.norm_of_nonneg one_half_pos.le, one_div, ← div_eq_inv_mul, Ne, div_eq_one_iff_eq (two_ne_zero' ℝ)] exact h hx hy hne #align strict_convex_space.of_norm_add_ne_two StrictConvexSpace.of_norm_add_ne_two theorem StrictConvexSpace.of_pairwise_sphere_norm_ne_two (h : (sphere (0 : E) 1).Pairwise fun x y => ‖x + y‖ ≠ 2) : StrictConvexSpace ℝ E := StrictConvexSpace.of_norm_add_ne_two fun _ _ hx hy => h (mem_sphere_zero_iff_norm.2 hx) (mem_sphere_zero_iff_norm.2 hy) #align strict_convex_space.of_pairwise_sphere_norm_ne_two StrictConvexSpace.of_pairwise_sphere_norm_ne_two theorem StrictConvexSpace.of_norm_add (h : ∀ x y : E, ‖x‖ = 1 → ‖y‖ = 1 → ‖x + y‖ = 2 → SameRay ℝ x y) : StrictConvexSpace ℝ E := by refine StrictConvexSpace.of_pairwise_sphere_norm_ne_two fun x hx y hy => mt fun h₂ => ?_ rw [mem_sphere_zero_iff_norm] at hx hy exact (sameRay_iff_of_norm_eq (hx.trans hy.symm)).1 (h x y hx hy h₂) #align strict_convex_space.of_norm_add StrictConvexSpace.of_norm_add variable [StrictConvexSpace ℝ E] {x y z : E} {a b r : ℝ}
Mathlib/Analysis/Convex/StrictConvexSpace.lean
152
158
theorem combo_mem_ball_of_ne (hx : x ∈ closedBall z r) (hy : y ∈ closedBall z r) (hne : x ≠ y) (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1) : a • x + b • y ∈ ball z r := by
rcases eq_or_ne r 0 with (rfl | hr) · rw [closedBall_zero, mem_singleton_iff] at hx hy exact (hne (hx.trans hy.symm)).elim · simp only [← interior_closedBall _ hr] at hx hy ⊢ exact strictConvex_closedBall ℝ z r hx hy hne ha hb hab
true
import Mathlib.MeasureTheory.Decomposition.RadonNikodym import Mathlib.MeasureTheory.Measure.Haar.OfBasis import Mathlib.Probability.Independence.Basic #align_import probability.density from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open scoped Classical MeasureTheory NNReal ENNReal open TopologicalSpace MeasureTheory.Measure noncomputable section namespace MeasureTheory variable {Ω E : Type*} [MeasurableSpace E] class HasPDF {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) : Prop where pdf' : AEMeasurable X ℙ ∧ (map X ℙ).HaveLebesgueDecomposition μ ∧ map X ℙ ≪ μ #align measure_theory.has_pdf MeasureTheory.HasPDF def pdf {_ : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) : E → ℝ≥0∞ := (map X ℙ).rnDeriv μ #align measure_theory.pdf MeasureTheory.pdf theorem pdf_def {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E} : pdf X ℙ μ = (map X ℙ).rnDeriv μ := rfl theorem pdf_of_not_aemeasurable {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E} (hX : ¬AEMeasurable X ℙ) : pdf X ℙ μ =ᵐ[μ] 0 := by rw [pdf_def, map_of_not_aemeasurable hX] exact rnDeriv_zero μ #align measure_theory.pdf_eq_zero_of_not_measurable MeasureTheory.pdf_of_not_aemeasurable theorem pdf_of_not_haveLebesgueDecomposition {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E} (h : ¬(map X ℙ).HaveLebesgueDecomposition μ) : pdf X ℙ μ = 0 := rnDeriv_of_not_haveLebesgueDecomposition h
Mathlib/Probability/Density.lean
152
155
theorem aemeasurable_of_pdf_ne_zero {m : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} (X : Ω → E) (h : ¬pdf X ℙ μ =ᵐ[μ] 0) : AEMeasurable X ℙ := by
contrapose! h exact pdf_of_not_aemeasurable h
false
import Mathlib.Algebra.CharZero.Defs import Mathlib.Algebra.Group.Hom.Defs import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Algebra.Order.Monoid.OrderDual import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.Nat.Cast.Defs import Mathlib.Order.WithBot #align_import algebra.order.monoid.with_top from "leanprover-community/mathlib"@"0111834459f5d7400215223ea95ae38a1265a907" universe u v variable {α : Type u} {β : Type v} open Function namespace WithTop section Add variable [Add α] {a b c d : WithTop α} {x y : α} instance add : Add (WithTop α) := ⟨Option.map₂ (· + ·)⟩ #align with_top.has_add WithTop.add @[simp, norm_cast] lemma coe_add (a b : α) : ↑(a + b) = (a + b : WithTop α) := rfl #align with_top.coe_add WithTop.coe_add #noalign with_top.coe_bit0 #noalign with_top.coe_bit1 @[simp] theorem top_add (a : WithTop α) : ⊤ + a = ⊤ := rfl #align with_top.top_add WithTop.top_add @[simp] theorem add_top (a : WithTop α) : a + ⊤ = ⊤ := by cases a <;> rfl #align with_top.add_top WithTop.add_top @[simp] theorem add_eq_top : a + b = ⊤ ↔ a = ⊤ ∨ b = ⊤ := by match a, b with | ⊤, _ => simp | _, ⊤ => simp | (a : α), (b : α) => simp only [← coe_add, coe_ne_top, or_false] #align with_top.add_eq_top WithTop.add_eq_top theorem add_ne_top : a + b ≠ ⊤ ↔ a ≠ ⊤ ∧ b ≠ ⊤ := add_eq_top.not.trans not_or #align with_top.add_ne_top WithTop.add_ne_top
Mathlib/Algebra/Order/Monoid/WithTop.lean
143
144
theorem add_lt_top [LT α] {a b : WithTop α} : a + b < ⊤ ↔ a < ⊤ ∧ b < ⊤ := by
simp_rw [WithTop.lt_top_iff_ne_top, add_ne_top]
false
import Mathlib.Data.Real.Basic #align_import data.real.sign from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Real noncomputable def sign (r : ℝ) : ℝ := if r < 0 then -1 else if 0 < r then 1 else 0 #align real.sign Real.sign theorem sign_of_neg {r : ℝ} (hr : r < 0) : sign r = -1 := by rw [sign, if_pos hr] #align real.sign_of_neg Real.sign_of_neg theorem sign_of_pos {r : ℝ} (hr : 0 < r) : sign r = 1 := by rw [sign, if_pos hr, if_neg hr.not_lt] #align real.sign_of_pos Real.sign_of_pos @[simp] theorem sign_zero : sign 0 = 0 := by rw [sign, if_neg (lt_irrefl _), if_neg (lt_irrefl _)] #align real.sign_zero Real.sign_zero @[simp] theorem sign_one : sign 1 = 1 := sign_of_pos <| by norm_num #align real.sign_one Real.sign_one theorem sign_apply_eq (r : ℝ) : sign r = -1 ∨ sign r = 0 ∨ sign r = 1 := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · exact Or.inl <| sign_of_neg hn · exact Or.inr <| Or.inl <| sign_zero · exact Or.inr <| Or.inr <| sign_of_pos hp #align real.sign_apply_eq Real.sign_apply_eq theorem sign_apply_eq_of_ne_zero (r : ℝ) (h : r ≠ 0) : sign r = -1 ∨ sign r = 1 := h.lt_or_lt.imp sign_of_neg sign_of_pos #align real.sign_apply_eq_of_ne_zero Real.sign_apply_eq_of_ne_zero @[simp] theorem sign_eq_zero_iff {r : ℝ} : sign r = 0 ↔ r = 0 := by refine ⟨fun h => ?_, fun h => h.symm ▸ sign_zero⟩ obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn, neg_eq_zero] at h exact (one_ne_zero h).elim · rfl · rw [sign_of_pos hp] at h exact (one_ne_zero h).elim #align real.sign_eq_zero_iff Real.sign_eq_zero_iff theorem sign_intCast (z : ℤ) : sign (z : ℝ) = ↑(Int.sign z) := by obtain hn | rfl | hp := lt_trichotomy z (0 : ℤ) · rw [sign_of_neg (Int.cast_lt_zero.mpr hn), Int.sign_eq_neg_one_of_neg hn, Int.cast_neg, Int.cast_one] · rw [Int.cast_zero, sign_zero, Int.sign_zero, Int.cast_zero] · rw [sign_of_pos (Int.cast_pos.mpr hp), Int.sign_eq_one_of_pos hp, Int.cast_one] #align real.sign_int_cast Real.sign_intCast @[deprecated (since := "2024-04-17")] alias sign_int_cast := sign_intCast theorem sign_neg {r : ℝ} : sign (-r) = -sign r := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn, sign_of_pos (neg_pos.mpr hn), neg_neg] · rw [sign_zero, neg_zero, sign_zero] · rw [sign_of_pos hp, sign_of_neg (neg_lt_zero.mpr hp)] #align real.sign_neg Real.sign_neg
Mathlib/Data/Real/Sign.lean
92
98
theorem sign_mul_nonneg (r : ℝ) : 0 ≤ sign r * r := by
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn] exact mul_nonneg_of_nonpos_of_nonpos (by norm_num) hn.le · rw [mul_zero] · rw [sign_of_pos hp, one_mul] exact hp.le
false
import Mathlib.Algebra.Algebra.Tower import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.GroupTheory.MonoidLocalization import Mathlib.RingTheory.Ideal.Basic import Mathlib.GroupTheory.GroupAction.Ring #align_import ring_theory.localization.basic from "leanprover-community/mathlib"@"b69c9a770ecf37eb21f7b8cf4fa00de3b62694ec" open Function section CommSemiring variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S] variable [Algebra R S] {P : Type*} [CommSemiring P] @[mk_iff] class IsLocalization : Prop where -- Porting note: add ' to fields, and made new versions of these with either `S` or `M` explicit. map_units' : ∀ y : M, IsUnit (algebraMap R S y) surj' : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 exists_of_eq : ∀ {x y}, algebraMap R S x = algebraMap R S y → ∃ c : M, ↑c * x = ↑c * y #align is_localization IsLocalization variable {M} namespace IsLocalization section IsLocalization variable [IsLocalization M S] section @[inherit_doc IsLocalization.map_units'] theorem map_units : ∀ y : M, IsUnit (algebraMap R S y) := IsLocalization.map_units' variable (M) {S} @[inherit_doc IsLocalization.surj'] theorem surj : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 := IsLocalization.surj' variable (S) @[inherit_doc IsLocalization.exists_of_eq] theorem eq_iff_exists {x y} : algebraMap R S x = algebraMap R S y ↔ ∃ c : M, ↑c * x = ↑c * y := Iff.intro IsLocalization.exists_of_eq fun ⟨c, h⟩ ↦ by apply_fun algebraMap R S at h rw [map_mul, map_mul] at h exact (IsLocalization.map_units S c).mul_right_inj.mp h variable {S} theorem of_le (N : Submonoid R) (h₁ : M ≤ N) (h₂ : ∀ r ∈ N, IsUnit (algebraMap R S r)) : IsLocalization N S where map_units' r := h₂ r r.2 surj' s := have ⟨⟨x, y, hy⟩, H⟩ := IsLocalization.surj M s ⟨⟨x, y, h₁ hy⟩, H⟩ exists_of_eq {x y} := by rw [IsLocalization.eq_iff_exists M] rintro ⟨c, hc⟩ exact ⟨⟨c, h₁ c.2⟩, hc⟩ #align is_localization.of_le IsLocalization.of_le variable (S) @[simps] def toLocalizationWithZeroMap : Submonoid.LocalizationWithZeroMap M S where __ := algebraMap R S toFun := algebraMap R S map_units' := IsLocalization.map_units _ surj' := IsLocalization.surj _ exists_of_eq _ _ := IsLocalization.exists_of_eq #align is_localization.to_localization_with_zero_map IsLocalization.toLocalizationWithZeroMap abbrev toLocalizationMap : Submonoid.LocalizationMap M S := (toLocalizationWithZeroMap M S).toLocalizationMap #align is_localization.to_localization_map IsLocalization.toLocalizationMap @[simp] theorem toLocalizationMap_toMap : (toLocalizationMap M S).toMap = (algebraMap R S : R →*₀ S) := rfl #align is_localization.to_localization_map_to_map IsLocalization.toLocalizationMap_toMap theorem toLocalizationMap_toMap_apply (x) : (toLocalizationMap M S).toMap x = algebraMap R S x := rfl #align is_localization.to_localization_map_to_map_apply IsLocalization.toLocalizationMap_toMap_apply theorem surj₂ : ∀ z w : S, ∃ z' w' : R, ∃ d : M, (z * algebraMap R S d = algebraMap R S z') ∧ (w * algebraMap R S d = algebraMap R S w') := (toLocalizationMap M S).surj₂ end variable (M) {S} noncomputable def sec (z : S) : R × M := Classical.choose <| IsLocalization.surj _ z #align is_localization.sec IsLocalization.sec @[simp] theorem toLocalizationMap_sec : (toLocalizationMap M S).sec = sec M := rfl #align is_localization.to_localization_map_sec IsLocalization.toLocalizationMap_sec theorem sec_spec (z : S) : z * algebraMap R S (IsLocalization.sec M z).2 = algebraMap R S (IsLocalization.sec M z).1 := Classical.choose_spec <| IsLocalization.surj _ z #align is_localization.sec_spec IsLocalization.sec_spec
Mathlib/RingTheory/Localization/Basic.lean
202
204
theorem sec_spec' (z : S) : algebraMap R S (IsLocalization.sec M z).1 = algebraMap R S (IsLocalization.sec M z).2 * z := by
rw [mul_comm, sec_spec]
false
import Batteries.Data.List.Lemmas import Batteries.Data.Array.Basic import Batteries.Tactic.SeqFocus import Batteries.Util.ProofWanted namespace Array theorem forIn_eq_data_forIn [Monad m] (as : Array α) (b : β) (f : α → β → m (ForInStep β)) : forIn as b f = forIn as.data b f := by let rec loop : ∀ {i h b j}, j + i = as.size → Array.forIn.loop as f i h b = forIn (as.data.drop j) b f | 0, _, _, _, rfl => by rw [List.drop_length]; rfl | i+1, _, _, j, ij => by simp only [forIn.loop, Nat.add] have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc] have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..) have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩ simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl conv => lhs; simp only [forIn, Array.forIn] rw [loop (Nat.zero_add _)]; rfl theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) : (as.zipWith bs f).data = as.data.zipWith f bs.data := by let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size → (zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by intro i cs hia hib unfold zipWithAux by_cases h : i = as.size ∨ i = bs.size case pos => have : ¬(i < as.size) ∨ ¬(i < bs.size) := by cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true] -- Cleaned up aesop output below simp_all only [Nat.not_lt] cases h <;> [(cases this); (cases this)] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_left, List.append_nil] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_left, List.append_nil] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_right, List.append_nil] split <;> simp_all only [Nat.not_lt] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_right, List.append_nil] split <;> simp_all only [Nat.not_lt] case neg => rw [not_or] at h have has : i < as.size := Nat.lt_of_le_of_ne hia h.1 have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2 simp only [has, hbs, dite_true] rw [loop (i+1) _ has hbs, Array.push_data] have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl let i_as : Fin as.data.length := ⟨i, has⟩ let i_bs : Fin bs.data.length := ⟨i, hbs⟩ rw [h₁, List.append_assoc] congr rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get] show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data) ((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) = List.zipWith f (List.drop i as.data) (List.drop i bs.data) simp only [List.get_cons_drop] termination_by as.size - i simp [zipWith, loop 0 #[] (by simp) (by simp)]
.lake/packages/batteries/Batteries/Data/Array/Lemmas.lean
75
77
theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) : (as.zipWith bs f).size = min as.size bs.size := by
rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith]
true
import Mathlib.MeasureTheory.Measure.Dirac set_option autoImplicit true open Set open scoped ENNReal Classical variable [MeasurableSpace α] [MeasurableSpace β] {s : Set α} noncomputable section namespace MeasureTheory.Measure def count : Measure α := sum dirac #align measure_theory.measure.count MeasureTheory.Measure.count theorem le_count_apply : ∑' _ : s, (1 : ℝ≥0∞) ≤ count s := calc (∑' _ : s, 1 : ℝ≥0∞) = ∑' i, indicator s 1 i := tsum_subtype s 1 _ ≤ ∑' i, dirac i s := ENNReal.tsum_le_tsum fun _ => le_dirac_apply _ ≤ count s := le_sum_apply _ _ #align measure_theory.measure.le_count_apply MeasureTheory.Measure.le_count_apply theorem count_apply (hs : MeasurableSet s) : count s = ∑' i : s, 1 := by simp only [count, sum_apply, hs, dirac_apply', ← tsum_subtype s (1 : α → ℝ≥0∞), Pi.one_apply] #align measure_theory.measure.count_apply MeasureTheory.Measure.count_apply -- @[simp] -- Porting note (#10618): simp can prove this theorem count_empty : count (∅ : Set α) = 0 := by rw [count_apply MeasurableSet.empty, tsum_empty] #align measure_theory.measure.count_empty MeasureTheory.Measure.count_empty @[simp] theorem count_apply_finset' {s : Finset α} (s_mble : MeasurableSet (s : Set α)) : count (↑s : Set α) = s.card := calc count (↑s : Set α) = ∑' i : (↑s : Set α), 1 := count_apply s_mble _ = ∑ i ∈ s, 1 := s.tsum_subtype 1 _ = s.card := by simp #align measure_theory.measure.count_apply_finset' MeasureTheory.Measure.count_apply_finset' @[simp] theorem count_apply_finset [MeasurableSingletonClass α] (s : Finset α) : count (↑s : Set α) = s.card := count_apply_finset' s.measurableSet #align measure_theory.measure.count_apply_finset MeasureTheory.Measure.count_apply_finset theorem count_apply_finite' {s : Set α} (s_fin : s.Finite) (s_mble : MeasurableSet s) : count s = s_fin.toFinset.card := by simp [← @count_apply_finset' _ _ s_fin.toFinset (by simpa only [Finite.coe_toFinset] using s_mble)] #align measure_theory.measure.count_apply_finite' MeasureTheory.Measure.count_apply_finite' theorem count_apply_finite [MeasurableSingletonClass α] (s : Set α) (hs : s.Finite) : count s = hs.toFinset.card := by rw [← count_apply_finset, Finite.coe_toFinset] #align measure_theory.measure.count_apply_finite MeasureTheory.Measure.count_apply_finite theorem count_apply_infinite (hs : s.Infinite) : count s = ∞ := by refine top_unique (le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n => ?_) rcases hs.exists_subset_card_eq n with ⟨t, ht, rfl⟩ calc (t.card : ℝ≥0∞) = ∑ i ∈ t, 1 := by simp _ = ∑' i : (t : Set α), 1 := (t.tsum_subtype 1).symm _ ≤ count (t : Set α) := le_count_apply _ ≤ count s := measure_mono ht #align measure_theory.measure.count_apply_infinite MeasureTheory.Measure.count_apply_infinite @[simp] theorem count_apply_eq_top' (s_mble : MeasurableSet s) : count s = ∞ ↔ s.Infinite := by by_cases hs : s.Finite · simp [Set.Infinite, hs, count_apply_finite' hs s_mble] · change s.Infinite at hs simp [hs, count_apply_infinite] #align measure_theory.measure.count_apply_eq_top' MeasureTheory.Measure.count_apply_eq_top' @[simp]
Mathlib/MeasureTheory/Measure/Count.lean
92
96
theorem count_apply_eq_top [MeasurableSingletonClass α] : count s = ∞ ↔ s.Infinite := by
by_cases hs : s.Finite · exact count_apply_eq_top' hs.measurableSet · change s.Infinite at hs simp [hs, count_apply_infinite]
false
import Mathlib.Data.Finset.Fold import Mathlib.Algebra.GCDMonoid.Multiset #align_import algebra.gcd_monoid.finset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" #align_import algebra.gcd_monoid.div from "leanprover-community/mathlib"@"b537794f8409bc9598febb79cd510b1df5f4539d" variable {ι α β γ : Type*} namespace Finset open Multiset variable [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α] section lcm def lcm (s : Finset β) (f : β → α) : α := s.fold GCDMonoid.lcm 1 f #align finset.lcm Finset.lcm variable {s s₁ s₂ : Finset β} {f : β → α} theorem lcm_def : s.lcm f = (s.1.map f).lcm := rfl #align finset.lcm_def Finset.lcm_def @[simp] theorem lcm_empty : (∅ : Finset β).lcm f = 1 := fold_empty #align finset.lcm_empty Finset.lcm_empty @[simp] theorem lcm_dvd_iff {a : α} : s.lcm f ∣ a ↔ ∀ b ∈ s, f b ∣ a := by apply Iff.trans Multiset.lcm_dvd simp only [Multiset.mem_map, and_imp, exists_imp] exact ⟨fun k b hb ↦ k _ _ hb rfl, fun k a' b hb h ↦ h ▸ k _ hb⟩ #align finset.lcm_dvd_iff Finset.lcm_dvd_iff theorem lcm_dvd {a : α} : (∀ b ∈ s, f b ∣ a) → s.lcm f ∣ a := lcm_dvd_iff.2 #align finset.lcm_dvd Finset.lcm_dvd theorem dvd_lcm {b : β} (hb : b ∈ s) : f b ∣ s.lcm f := lcm_dvd_iff.1 dvd_rfl _ hb #align finset.dvd_lcm Finset.dvd_lcm @[simp]
Mathlib/Algebra/GCDMonoid/Finset.lean
77
82
theorem lcm_insert [DecidableEq β] {b : β} : (insert b s : Finset β).lcm f = GCDMonoid.lcm (f b) (s.lcm f) := by
by_cases h : b ∈ s · rw [insert_eq_of_mem h, (lcm_eq_right_iff (f b) (s.lcm f) (Multiset.normalize_lcm (s.1.map f))).2 (dvd_lcm h)] apply fold_insert h
false
import Mathlib.CategoryTheory.Comma.StructuredArrow import Mathlib.CategoryTheory.IsConnected import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Terminal import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.CategoryTheory.PUnit #align_import category_theory.limits.final from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b" noncomputable section universe v v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory namespace Functor open Opposite open CategoryTheory.Limits section ArbitraryUniverse variable {C : Type u₁} [Category.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] class Final (F : C ⥤ D) : Prop where out (d : D) : IsConnected (StructuredArrow d F) #align category_theory.functor.final CategoryTheory.Functor.Final attribute [instance] Final.out class Initial (F : C ⥤ D) : Prop where out (d : D) : IsConnected (CostructuredArrow F d) #align category_theory.functor.initial CategoryTheory.Functor.Initial attribute [instance] Initial.out instance final_op_of_initial (F : C ⥤ D) [Initial F] : Final F.op where out d := isConnected_of_equivalent (costructuredArrowOpEquivalence F (unop d)) #align category_theory.functor.final_op_of_initial CategoryTheory.Functor.final_op_of_initial instance initial_op_of_final (F : C ⥤ D) [Final F] : Initial F.op where out d := isConnected_of_equivalent (structuredArrowOpEquivalence F (unop d)) #align category_theory.functor.initial_op_of_final CategoryTheory.Functor.initial_op_of_final theorem final_of_initial_op (F : C ⥤ D) [Initial F.op] : Final F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (structuredArrowOpEquivalence F d).symm) } #align category_theory.functor.final_of_initial_op CategoryTheory.Functor.final_of_initial_op theorem initial_of_final_op (F : C ⥤ D) [Final F.op] : Initial F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (costructuredArrowOpEquivalence F d).symm) } #align category_theory.functor.initial_of_final_op CategoryTheory.Functor.initial_of_final_op theorem final_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Final R := { out := fun c => let u : StructuredArrow c R := StructuredArrow.mk (adj.unit.app c) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inr ⟨StructuredArrow.homMk ((adj.homEquiv c f.right).symm f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inl ⟨StructuredArrow.homMk ((adj.homEquiv c g.right).symm g.hom) (by simp [u])⟩)) } #align category_theory.functor.final_of_adjunction CategoryTheory.Functor.final_of_adjunction theorem initial_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Initial L := { out := fun d => let u : CostructuredArrow L d := CostructuredArrow.mk (adj.counit.app d) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inl ⟨CostructuredArrow.homMk (adj.homEquiv f.left d f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inr ⟨CostructuredArrow.homMk (adj.homEquiv g.left d g.hom) (by simp [u])⟩)) } #align category_theory.functor.initial_of_adjunction CategoryTheory.Functor.initial_of_adjunction instance (priority := 100) final_of_isRightAdjoint (F : C ⥤ D) [IsRightAdjoint F] : Final F := final_of_adjunction (Adjunction.ofIsRightAdjoint F) #align category_theory.functor.final_of_is_right_adjoint CategoryTheory.Functor.final_of_isRightAdjoint instance (priority := 100) initial_of_isLeftAdjoint (F : C ⥤ D) [IsLeftAdjoint F] : Initial F := initial_of_adjunction (Adjunction.ofIsLeftAdjoint F) #align category_theory.functor.initial_of_is_left_adjoint CategoryTheory.Functor.initial_of_isLeftAdjoint theorem final_of_natIso {F F' : C ⥤ D} [Final F] (i : F ≅ F') : Final F' where out _ := isConnected_of_equivalent (StructuredArrow.mapNatIso i) theorem final_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Final F ↔ Final F' := ⟨fun _ => final_of_natIso i, fun _ => final_of_natIso i.symm⟩ theorem initial_of_natIso {F F' : C ⥤ D} [Initial F] (i : F ≅ F') : Initial F' where out _ := isConnected_of_equivalent (CostructuredArrow.mapNatIso i) theorem initial_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Initial F ↔ Initial F' := ⟨fun _ => initial_of_natIso i, fun _ => initial_of_natIso i.symm⟩ section LocallySmall variable {C : Type v} [Category.{v} C] {D : Type u₁} [Category.{v} D] (F : C ⥤ D) namespace Final
Mathlib/CategoryTheory/Limits/Final.lean
386
404
theorem zigzag_of_eqvGen_quot_rel {F : C ⥤ D} {d : D} {f₁ f₂ : ΣX, d ⟶ F.obj X} (t : EqvGen (Types.Quot.Rel.{v, v} (F ⋙ coyoneda.obj (op d))) f₁ f₂) : Zigzag (StructuredArrow.mk f₁.2) (StructuredArrow.mk f₂.2) := by
induction t with | rel x y r => obtain ⟨f, w⟩ := r fconstructor swap · fconstructor left; fconstructor exact StructuredArrow.homMk f | refl => fconstructor | symm x y _ ih => apply zigzag_symmetric exact ih | trans x y z _ _ ih₁ ih₂ => apply Relation.ReflTransGen.trans · exact ih₁ · exact ih₂
false
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]
false
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic #align_import measure_theory.function.conditional_expectation.indicator from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap open scoped NNReal ENNReal Topology MeasureTheory namespace MeasureTheory variable {α 𝕜 E : Type*} {m m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : Measure α} {f : α → E} {s : Set α} theorem condexp_ae_eq_restrict_zero (hs : MeasurableSet[m] s) (hf : f =ᵐ[μ.restrict s] 0) : μ[f|m] =ᵐ[μ.restrict s] 0 := by by_cases hm : m ≤ m0 swap; · simp_rw [condexp_of_not_le hm]; rfl by_cases hμm : SigmaFinite (μ.trim hm) swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; rfl haveI : SigmaFinite (μ.trim hm) := hμm have : SigmaFinite ((μ.restrict s).trim hm) := by rw [← restrict_trim hm _ hs] exact Restrict.sigmaFinite _ s by_cases hf_int : Integrable f μ swap; · rw [condexp_undef hf_int] refine ae_eq_of_forall_setIntegral_eq_of_sigmaFinite' hm ?_ ?_ ?_ ?_ ?_ · exact fun t _ _ => integrable_condexp.integrableOn.integrableOn · exact fun t _ _ => (integrable_zero _ _ _).integrableOn · intro t ht _ rw [Measure.restrict_restrict (hm _ ht), setIntegral_condexp hm hf_int (ht.inter hs), ← Measure.restrict_restrict (hm _ ht)] refine setIntegral_congr_ae (hm _ ht) ?_ filter_upwards [hf] with x hx _ using hx · exact stronglyMeasurable_condexp.aeStronglyMeasurable' · exact stronglyMeasurable_zero.aeStronglyMeasurable' #align measure_theory.condexp_ae_eq_restrict_zero MeasureTheory.condexp_ae_eq_restrict_zero theorem condexp_indicator_aux (hs : MeasurableSet[m] s) (hf : f =ᵐ[μ.restrict sᶜ] 0) : μ[s.indicator f|m] =ᵐ[μ] s.indicator (μ[f|m]) := by by_cases hm : m ≤ m0 swap; · simp_rw [condexp_of_not_le hm, Set.indicator_zero']; rfl have hsf_zero : ∀ g : α → E, g =ᵐ[μ.restrict sᶜ] 0 → s.indicator g =ᵐ[μ] g := fun g => indicator_ae_eq_of_restrict_compl_ae_eq_zero (hm _ hs) refine ((hsf_zero (μ[f|m]) (condexp_ae_eq_restrict_zero hs.compl hf)).trans ?_).symm exact condexp_congr_ae (hsf_zero f hf).symm #align measure_theory.condexp_indicator_aux MeasureTheory.condexp_indicator_aux
Mathlib/MeasureTheory/Function/ConditionalExpectation/Indicator.lean
75
112
theorem condexp_indicator (hf_int : Integrable f μ) (hs : MeasurableSet[m] s) : μ[s.indicator f|m] =ᵐ[μ] s.indicator (μ[f|m]) := by
by_cases hm : m ≤ m0 swap; · simp_rw [condexp_of_not_le hm, Set.indicator_zero']; rfl by_cases hμm : SigmaFinite (μ.trim hm) swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm, Set.indicator_zero']; rfl haveI : SigmaFinite (μ.trim hm) := hμm -- use `have` to perform what should be the first calc step because of an error I don't -- understand have : s.indicator (μ[f|m]) =ᵐ[μ] s.indicator (μ[s.indicator f + sᶜ.indicator f|m]) := by rw [Set.indicator_self_add_compl s f] refine (this.trans ?_).symm calc s.indicator (μ[s.indicator f + sᶜ.indicator f|m]) =ᵐ[μ] s.indicator (μ[s.indicator f|m] + μ[sᶜ.indicator f|m]) := by have : μ[s.indicator f + sᶜ.indicator f|m] =ᵐ[μ] μ[s.indicator f|m] + μ[sᶜ.indicator f|m] := condexp_add (hf_int.indicator (hm _ hs)) (hf_int.indicator (hm _ hs.compl)) filter_upwards [this] with x hx classical rw [Set.indicator_apply, Set.indicator_apply, hx] _ = s.indicator (μ[s.indicator f|m]) + s.indicator (μ[sᶜ.indicator f|m]) := (s.indicator_add' _ _) _ =ᵐ[μ] s.indicator (μ[s.indicator f|m]) + s.indicator (sᶜ.indicator (μ[sᶜ.indicator f|m])) := by refine Filter.EventuallyEq.rfl.add ?_ have : sᶜ.indicator (μ[sᶜ.indicator f|m]) =ᵐ[μ] μ[sᶜ.indicator f|m] := by refine (condexp_indicator_aux hs.compl ?_).symm.trans ?_ · exact indicator_ae_eq_restrict_compl (hm _ hs.compl) · rw [Set.indicator_indicator, Set.inter_self] filter_upwards [this] with x hx by_cases hxs : x ∈ s · simp only [hx, hxs, Set.indicator_of_mem] · simp only [hxs, Set.indicator_of_not_mem, not_false_iff] _ =ᵐ[μ] s.indicator (μ[s.indicator f|m]) := by rw [Set.indicator_indicator, Set.inter_compl_self, Set.indicator_empty', add_zero] _ =ᵐ[μ] μ[s.indicator f|m] := by refine (condexp_indicator_aux hs ?_).symm.trans ?_ · exact indicator_ae_eq_restrict_compl (hm _ hs) · rw [Set.indicator_indicator, Set.inter_self]
false
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.monoid from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9" namespace Set variable {M : Type*} [OrderedCancelAddCommMonoid M] [ExistsAddOfLE M] (a b c d : M) theorem Ici_add_bij : BijOn (· + d) (Ici a) (Ici (a + d)) := by refine ⟨fun x h => add_le_add_right (mem_Ici.mp h) _, (add_left_injective d).injOn, fun _ h => ?_⟩ obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ici.mp h) rw [mem_Ici, add_right_comm, add_le_add_iff_right] at h exact ⟨a + c, h, by rw [add_right_comm]⟩ #align set.Ici_add_bij Set.Ici_add_bij theorem Ioi_add_bij : BijOn (· + d) (Ioi a) (Ioi (a + d)) := by refine ⟨fun x h => add_lt_add_right (mem_Ioi.mp h) _, fun _ _ _ _ h => add_right_cancel h, fun _ h => ?_⟩ obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ioi.mp h).le rw [mem_Ioi, add_right_comm, add_lt_add_iff_right] at h exact ⟨a + c, h, by rw [add_right_comm]⟩ #align set.Ioi_add_bij Set.Ioi_add_bij theorem Icc_add_bij : BijOn (· + d) (Icc a b) (Icc (a + d) (b + d)) := by rw [← Ici_inter_Iic, ← Ici_inter_Iic] exact (Ici_add_bij a d).inter_mapsTo (fun x hx => add_le_add_right hx _) fun x hx => le_of_add_le_add_right hx.2 #align set.Icc_add_bij Set.Icc_add_bij theorem Ioo_add_bij : BijOn (· + d) (Ioo a b) (Ioo (a + d) (b + d)) := by rw [← Ioi_inter_Iio, ← Ioi_inter_Iio] exact (Ioi_add_bij a d).inter_mapsTo (fun x hx => add_lt_add_right hx _) fun x hx => lt_of_add_lt_add_right hx.2 #align set.Ioo_add_bij Set.Ioo_add_bij theorem Ioc_add_bij : BijOn (· + d) (Ioc a b) (Ioc (a + d) (b + d)) := by rw [← Ioi_inter_Iic, ← Ioi_inter_Iic] exact (Ioi_add_bij a d).inter_mapsTo (fun x hx => add_le_add_right hx _) fun x hx => le_of_add_le_add_right hx.2 #align set.Ioc_add_bij Set.Ioc_add_bij theorem Ico_add_bij : BijOn (· + d) (Ico a b) (Ico (a + d) (b + d)) := by rw [← Ici_inter_Iio, ← Ici_inter_Iio] exact (Ici_add_bij a d).inter_mapsTo (fun x hx => add_lt_add_right hx _) fun x hx => lt_of_add_lt_add_right hx.2 #align set.Ico_add_bij Set.Ico_add_bij @[simp] theorem image_add_const_Ici : (fun x => x + a) '' Ici b = Ici (b + a) := (Ici_add_bij _ _).image_eq #align set.image_add_const_Ici Set.image_add_const_Ici @[simp] theorem image_add_const_Ioi : (fun x => x + a) '' Ioi b = Ioi (b + a) := (Ioi_add_bij _ _).image_eq #align set.image_add_const_Ioi Set.image_add_const_Ioi @[simp] theorem image_add_const_Icc : (fun x => x + a) '' Icc b c = Icc (b + a) (c + a) := (Icc_add_bij _ _ _).image_eq #align set.image_add_const_Icc Set.image_add_const_Icc @[simp] theorem image_add_const_Ico : (fun x => x + a) '' Ico b c = Ico (b + a) (c + a) := (Ico_add_bij _ _ _).image_eq #align set.image_add_const_Ico Set.image_add_const_Ico @[simp] theorem image_add_const_Ioc : (fun x => x + a) '' Ioc b c = Ioc (b + a) (c + a) := (Ioc_add_bij _ _ _).image_eq #align set.image_add_const_Ioc Set.image_add_const_Ioc @[simp] theorem image_add_const_Ioo : (fun x => x + a) '' Ioo b c = Ioo (b + a) (c + a) := (Ioo_add_bij _ _ _).image_eq #align set.image_add_const_Ioo Set.image_add_const_Ioo @[simp] theorem image_const_add_Ici : (fun x => a + x) '' Ici b = Ici (a + b) := by simp only [add_comm a, image_add_const_Ici] #align set.image_const_add_Ici Set.image_const_add_Ici @[simp] theorem image_const_add_Ioi : (fun x => a + x) '' Ioi b = Ioi (a + b) := by simp only [add_comm a, image_add_const_Ioi] #align set.image_const_add_Ioi Set.image_const_add_Ioi @[simp]
Mathlib/Algebra/Order/Interval/Set/Monoid.lean
123
124
theorem image_const_add_Icc : (fun x => a + x) '' Icc b c = Icc (a + b) (a + c) := by
simp only [add_comm a, image_add_const_Icc]
false
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 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 #align mv_polynomial.vars_add_subset MvPolynomial.vars_add_subset theorem vars_add_of_disjoint [DecidableEq σ] (h : Disjoint p.vars q.vars) : (p + q).vars = p.vars ∪ q.vars := by refine (vars_add_subset p q).antisymm fun x hx => ?_ simp only [vars_def, Multiset.disjoint_toFinset] at h hx ⊢ rwa [degrees_add_of_disjoint h, Multiset.toFinset_union] #align mv_polynomial.vars_add_of_disjoint MvPolynomial.vars_add_of_disjoint section Mul theorem vars_mul [DecidableEq σ] (φ ψ : MvPolynomial σ R) : (φ * ψ).vars ⊆ φ.vars ∪ ψ.vars := by simp_rw [vars_def, ← Multiset.toFinset_add, Multiset.toFinset_subset] exact Multiset.subset_of_le (degrees_mul φ ψ) #align mv_polynomial.vars_mul MvPolynomial.vars_mul @[simp] theorem vars_one : (1 : MvPolynomial σ R).vars = ∅ := vars_C #align mv_polynomial.vars_one MvPolynomial.vars_one theorem vars_pow (φ : MvPolynomial σ R) (n : ℕ) : (φ ^ n).vars ⊆ φ.vars := by classical induction' n with n ih · simp · rw [pow_succ'] apply Finset.Subset.trans (vars_mul _ _) exact Finset.union_subset (Finset.Subset.refl _) ih #align mv_polynomial.vars_pow MvPolynomial.vars_pow theorem vars_prod {ι : Type*} [DecidableEq σ] {s : Finset ι} (f : ι → MvPolynomial σ R) : (∏ i ∈ s, f i).vars ⊆ s.biUnion fun i => (f i).vars := by classical induction s using Finset.induction_on with | empty => simp | insert hs hsub => simp only [hs, Finset.biUnion_insert, Finset.prod_insert, not_false_iff] apply Finset.Subset.trans (vars_mul _ _) exact Finset.union_subset_union (Finset.Subset.refl _) hsub #align mv_polynomial.vars_prod MvPolynomial.vars_prod section IsDomain variable {A : Type*} [CommRing A] [IsDomain A]
Mathlib/Algebra/MvPolynomial/Variables.lean
161
168
theorem vars_C_mul (a : A) (ha : a ≠ 0) (φ : MvPolynomial σ A) : (C a * φ : MvPolynomial σ A).vars = φ.vars := by
ext1 i simp only [mem_vars, exists_prop, mem_support_iff] apply exists_congr intro d apply and_congr _ Iff.rfl rw [coeff_C_mul, mul_ne_zero_iff, eq_true ha, true_and_iff]
true
import Mathlib.Analysis.Convex.Hull #align_import analysis.convex.join from "leanprover-community/mathlib"@"951bf1d9e98a2042979ced62c0620bcfb3587cf8" open Set variable {ι : Sort*} {𝕜 E : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommMonoid E] [Module 𝕜 E] {s t s₁ s₂ t₁ t₂ u : Set E} {x y : E} def convexJoin (s t : Set E) : Set E := ⋃ (x ∈ s) (y ∈ t), segment 𝕜 x y #align convex_join convexJoin variable {𝕜} theorem mem_convexJoin : x ∈ convexJoin 𝕜 s t ↔ ∃ a ∈ s, ∃ b ∈ t, x ∈ segment 𝕜 a b := by simp [convexJoin] #align mem_convex_join mem_convexJoin theorem convexJoin_comm (s t : Set E) : convexJoin 𝕜 s t = convexJoin 𝕜 t s := (iUnion₂_comm _).trans <| by simp_rw [convexJoin, segment_symm] #align convex_join_comm convexJoin_comm theorem convexJoin_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : convexJoin 𝕜 s₁ t₁ ⊆ convexJoin 𝕜 s₂ t₂ := biUnion_mono hs fun _ _ => biUnion_subset_biUnion_left ht #align convex_join_mono convexJoin_mono theorem convexJoin_mono_left (hs : s₁ ⊆ s₂) : convexJoin 𝕜 s₁ t ⊆ convexJoin 𝕜 s₂ t := convexJoin_mono hs Subset.rfl #align convex_join_mono_left convexJoin_mono_left theorem convexJoin_mono_right (ht : t₁ ⊆ t₂) : convexJoin 𝕜 s t₁ ⊆ convexJoin 𝕜 s t₂ := convexJoin_mono Subset.rfl ht #align convex_join_mono_right convexJoin_mono_right @[simp] theorem convexJoin_empty_left (t : Set E) : convexJoin 𝕜 ∅ t = ∅ := by simp [convexJoin] #align convex_join_empty_left convexJoin_empty_left @[simp] theorem convexJoin_empty_right (s : Set E) : convexJoin 𝕜 s ∅ = ∅ := by simp [convexJoin] #align convex_join_empty_right convexJoin_empty_right @[simp] theorem convexJoin_singleton_left (t : Set E) (x : E) : convexJoin 𝕜 {x} t = ⋃ y ∈ t, segment 𝕜 x y := by simp [convexJoin] #align convex_join_singleton_left convexJoin_singleton_left @[simp] theorem convexJoin_singleton_right (s : Set E) (y : E) : convexJoin 𝕜 s {y} = ⋃ x ∈ s, segment 𝕜 x y := by simp [convexJoin] #align convex_join_singleton_right convexJoin_singleton_right -- Porting note (#10618): simp can prove it theorem convexJoin_singletons (x : E) : convexJoin 𝕜 {x} {y} = segment 𝕜 x y := by simp #align convex_join_singletons convexJoin_singletons @[simp] theorem convexJoin_union_left (s₁ s₂ t : Set E) : convexJoin 𝕜 (s₁ ∪ s₂) t = convexJoin 𝕜 s₁ t ∪ convexJoin 𝕜 s₂ t := by simp_rw [convexJoin, mem_union, iUnion_or, iUnion_union_distrib] #align convex_join_union_left convexJoin_union_left @[simp] theorem convexJoin_union_right (s t₁ t₂ : Set E) : convexJoin 𝕜 s (t₁ ∪ t₂) = convexJoin 𝕜 s t₁ ∪ convexJoin 𝕜 s t₂ := by simp_rw [convexJoin_comm s, convexJoin_union_left] #align convex_join_union_right convexJoin_union_right @[simp]
Mathlib/Analysis/Convex/Join.lean
91
94
theorem convexJoin_iUnion_left (s : ι → Set E) (t : Set E) : convexJoin 𝕜 (⋃ i, s i) t = ⋃ i, convexJoin 𝕜 (s i) t := by
simp_rw [convexJoin, mem_iUnion, iUnion_exists] exact iUnion_comm _
true
import Mathlib.Data.Finset.Lattice #align_import combinatorics.set_family.compression.down from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" variable {α : Type*} [DecidableEq α] {𝒜 ℬ : Finset (Finset α)} {s : Finset α} {a : α} namespace Finset def nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) := 𝒜.filter fun s => a ∉ s #align finset.non_member_subfamily Finset.nonMemberSubfamily def memberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) := (𝒜.filter fun s => a ∈ s).image fun s => erase s a #align finset.member_subfamily Finset.memberSubfamily @[simp] theorem mem_nonMemberSubfamily : s ∈ 𝒜.nonMemberSubfamily a ↔ s ∈ 𝒜 ∧ a ∉ s := by simp [nonMemberSubfamily] #align finset.mem_non_member_subfamily Finset.mem_nonMemberSubfamily @[simp] theorem mem_memberSubfamily : s ∈ 𝒜.memberSubfamily a ↔ insert a s ∈ 𝒜 ∧ a ∉ s := by simp_rw [memberSubfamily, mem_image, mem_filter] refine ⟨?_, fun h => ⟨insert a s, ⟨h.1, by simp⟩, erase_insert h.2⟩⟩ rintro ⟨s, ⟨hs1, hs2⟩, rfl⟩ rw [insert_erase hs2] exact ⟨hs1, not_mem_erase _ _⟩ #align finset.mem_member_subfamily Finset.mem_memberSubfamily theorem nonMemberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∩ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∩ ℬ.nonMemberSubfamily a := filter_inter_distrib _ _ _ #align finset.non_member_subfamily_inter Finset.nonMemberSubfamily_inter theorem memberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∩ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∩ ℬ.memberSubfamily a := by unfold memberSubfamily rw [filter_inter_distrib, image_inter_of_injOn _ _ ((erase_injOn' _).mono _)] simp #align finset.member_subfamily_inter Finset.memberSubfamily_inter theorem nonMemberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∪ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∪ ℬ.nonMemberSubfamily a := filter_union _ _ _ #align finset.non_member_subfamily_union Finset.nonMemberSubfamily_union theorem memberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∪ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∪ ℬ.memberSubfamily a := by simp_rw [memberSubfamily, filter_union, image_union] #align finset.member_subfamily_union Finset.memberSubfamily_union
Mathlib/Combinatorics/SetFamily/Compression/Down.lean
91
96
theorem card_memberSubfamily_add_card_nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : (𝒜.memberSubfamily a).card + (𝒜.nonMemberSubfamily a).card = 𝒜.card := by
rw [memberSubfamily, nonMemberSubfamily, card_image_of_injOn] · conv_rhs => rw [← filter_card_add_filter_neg_card_eq_card (fun s => (a ∈ s))] · apply (erase_injOn' _).mono simp
true