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import Mathlib.Algebra.MvPolynomial.CommRing import Mathlib.LinearAlgebra.Dimension.StrongRankCondition import Mathlib.RingTheory.MvPolynomial.Basic #align_import field_theory.mv_polynomial from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" noncomputable section open scoped Classical open Set LinearMap Submodule namespace MvPolynomial universe u v variable {σ : Type u} {K : Type v} variable (σ K) [Field K]
Mathlib/FieldTheory/MvPolynomial.lean
34
40
theorem quotient_mk_comp_C_injective (I : Ideal (MvPolynomial σ K)) (hI : I ≠ ⊤) : Function.Injective ((Ideal.Quotient.mk I).comp MvPolynomial.C) := by
refine (injective_iff_map_eq_zero _).2 fun x hx => ?_ rw [RingHom.comp_apply, Ideal.Quotient.eq_zero_iff_mem] at hx refine _root_.by_contradiction fun hx0 => absurd (I.eq_top_iff_one.2 ?_) hI have := I.mul_mem_left (MvPolynomial.C x⁻¹) hx rwa [← MvPolynomial.C.map_mul, inv_mul_cancel hx0, MvPolynomial.C_1] at this
import Mathlib.LinearAlgebra.Dimension.LinearMap import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition #align_import linear_algebra.free_module.finite.matrix from "leanprover-community/mathlib"@"b1c23399f01266afe392a0d8f71f599a0dad4f7b" universe u u' v w variable (R : Type u) (S : Type u') (M : Type v) (N : Type w) open Module.Free (chooseBasis ChooseBasisIndex) open FiniteDimensional (finrank) section Ring variable [Ring R] [Ring S] [AddCommGroup M] [Module R M] [Module.Free R M] [Module.Finite R M] variable [AddCommGroup N] [Module R N] [Module S N] [SMulCommClass R S N] private noncomputable def linearMapEquivFun : (M →ₗ[R] N) ≃ₗ[S] ChooseBasisIndex R M → N := (chooseBasis R M).repr.congrLeft N S ≪≫ₗ (Finsupp.lsum S).symm ≪≫ₗ LinearEquiv.piCongrRight fun _ ↦ LinearMap.ringLmapEquivSelf R S N instance Module.Free.linearMap [Module.Free S N] : Module.Free S (M →ₗ[R] N) := Module.Free.of_equiv (linearMapEquivFun R S M N).symm #align module.free.linear_map Module.Free.linearMap instance Module.Finite.linearMap [Module.Finite S N] : Module.Finite S (M →ₗ[R] N) := Module.Finite.equiv (linearMapEquivFun R S M N).symm #align module.finite.linear_map Module.Finite.linearMap variable [StrongRankCondition R] [StrongRankCondition S] [Module.Free S N] open Cardinal
Mathlib/LinearAlgebra/FreeModule/Finite/Matrix.lean
53
56
theorem FiniteDimensional.rank_linearMap : Module.rank S (M →ₗ[R] N) = lift.{w} (Module.rank R M) * lift.{v} (Module.rank S N) := by
rw [(linearMapEquivFun R S M N).rank_eq, rank_fun_eq_lift_mul, ← finrank_eq_card_chooseBasisIndex, ← finrank_eq_rank R, lift_natCast]
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section OrderedAddCommGroup variable [OrderedAddCommGroup α] (a b c : α) @[simp] theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add'.symm #align set.preimage_const_add_Ici Set.preimage_const_add_Ici @[simp] theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add'.symm #align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi @[simp] theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le'.symm #align set.preimage_const_add_Iic Set.preimage_const_add_Iic @[simp] theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt'.symm #align set.preimage_const_add_Iio Set.preimage_const_add_Iio @[simp] theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_const_add_Icc Set.preimage_const_add_Icc @[simp] theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_const_add_Ico Set.preimage_const_add_Ico @[simp] theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc @[simp] theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo @[simp] theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add.symm #align set.preimage_add_const_Ici Set.preimage_add_const_Ici @[simp] theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add.symm #align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi @[simp] theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le.symm #align set.preimage_add_const_Iic Set.preimage_add_const_Iic @[simp] theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt.symm #align set.preimage_add_const_Iio Set.preimage_add_const_Iio @[simp] theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_add_const_Icc Set.preimage_add_const_Icc @[simp]
Mathlib/Data/Set/Pointwise/Interval.lean
197
198
theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
import Mathlib.Init.Order.Defs #align_import init.algebra.functions from "leanprover-community/lean"@"c2bcdbcbe741ed37c361a30d38e179182b989f76" universe u section open Decidable variable {α : Type u} [LinearOrder α] theorem min_def (a b : α) : min a b = if a ≤ b then a else b := by rw [LinearOrder.min_def a] #align min_def min_def theorem max_def (a b : α) : max a b = if a ≤ b then b else a := by rw [LinearOrder.max_def a] #align max_def max_def theorem min_le_left (a b : α) : min a b ≤ a := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h, le_refl] else simp [min_def, if_neg h]; exact le_of_not_le h #align min_le_left min_le_left theorem min_le_right (a b : α) : min a b ≤ b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h]; exact h else simp [min_def, if_neg h, le_refl] #align min_le_right min_le_right theorem le_min {a b c : α} (h₁ : c ≤ a) (h₂ : c ≤ b) : c ≤ min a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h]; exact h₁ else simp [min_def, if_neg h]; exact h₂ #align le_min le_min theorem le_max_left (a b : α) : a ≤ max a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h]; exact h else simp [max_def, if_neg h, le_refl] #align le_max_left le_max_left theorem le_max_right (a b : α) : b ≤ max a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h, le_refl] else simp [max_def, if_neg h]; exact le_of_not_le h #align le_max_right le_max_right theorem max_le {a b c : α} (h₁ : a ≤ c) (h₂ : b ≤ c) : max a b ≤ c := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h]; exact h₂ else simp [max_def, if_neg h]; exact h₁ #align max_le max_le theorem eq_min {a b c : α} (h₁ : c ≤ a) (h₂ : c ≤ b) (h₃ : ∀ {d}, d ≤ a → d ≤ b → d ≤ c) : c = min a b := le_antisymm (le_min h₁ h₂) (h₃ (min_le_left a b) (min_le_right a b)) #align eq_min eq_min theorem min_comm (a b : α) : min a b = min b a := eq_min (min_le_right a b) (min_le_left a b) fun h₁ h₂ => le_min h₂ h₁ #align min_comm min_comm theorem min_assoc (a b c : α) : min (min a b) c = min a (min b c) := by apply eq_min · apply le_trans; apply min_le_left; apply min_le_left · apply le_min; apply le_trans; apply min_le_left; apply min_le_right; apply min_le_right · intro d h₁ h₂; apply le_min; apply le_min h₁; apply le_trans h₂; apply min_le_left apply le_trans h₂; apply min_le_right #align min_assoc min_assoc theorem min_left_comm : ∀ a b c : α, min a (min b c) = min b (min a c) := left_comm (@min α _) (@min_comm α _) (@min_assoc α _) #align min_left_comm min_left_comm @[simp] theorem min_self (a : α) : min a a = a := by simp [min_def] #align min_self min_self theorem min_eq_left {a b : α} (h : a ≤ b) : min a b = a := by apply Eq.symm; apply eq_min (le_refl _) h; intros; assumption #align min_eq_left min_eq_left theorem min_eq_right {a b : α} (h : b ≤ a) : min a b = b := min_comm b a ▸ min_eq_left h #align min_eq_right min_eq_right theorem eq_max {a b c : α} (h₁ : a ≤ c) (h₂ : b ≤ c) (h₃ : ∀ {d}, a ≤ d → b ≤ d → c ≤ d) : c = max a b := le_antisymm (h₃ (le_max_left a b) (le_max_right a b)) (max_le h₁ h₂) #align eq_max eq_max theorem max_comm (a b : α) : max a b = max b a := eq_max (le_max_right a b) (le_max_left a b) fun h₁ h₂ => max_le h₂ h₁ #align max_comm max_comm theorem max_assoc (a b c : α) : max (max a b) c = max a (max b c) := by apply eq_max · apply le_trans; apply le_max_left a b; apply le_max_left · apply max_le; apply le_trans; apply le_max_right a b; apply le_max_left; apply le_max_right · intro d h₁ h₂; apply max_le; apply max_le h₁; apply le_trans (le_max_left _ _) h₂ apply le_trans (le_max_right _ _) h₂ #align max_assoc max_assoc theorem max_left_comm : ∀ a b c : α, max a (max b c) = max b (max a c) := left_comm (@max α _) (@max_comm α _) (@max_assoc α _) #align max_left_comm max_left_comm @[simp]
Mathlib/Init/Order/LinearOrder.lean
130
130
theorem max_self (a : α) : max a a = a := by
simp [max_def]
import Mathlib.Data.Int.Range import Mathlib.Data.ZMod.Basic import Mathlib.NumberTheory.MulChar.Basic #align_import number_theory.legendre_symbol.zmod_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace ZMod section QuadCharModP @[simps] def χ₄ : MulChar (ZMod 4) ℤ where toFun := (![0, 1, 0, -1] : ZMod 4 → ℤ) map_one' := rfl map_mul' := by decide map_nonunit' := by decide #align zmod.χ₄ ZMod.χ₄
Mathlib/NumberTheory/LegendreSymbol/ZModChar.lean
48
52
theorem isQuadratic_χ₄ : χ₄.IsQuadratic := by
intro a -- Porting note (#11043): was `decide!` fin_cases a all_goals decide
import Mathlib.Algebra.ContinuedFractions.Translations #align_import algebra.continued_fractions.continuants_recurrence from "leanprover-community/mathlib"@"5f11361a98ae4acd77f5c1837686f6f0102cdc25" namespace GeneralizedContinuedFraction variable {K : Type*} {g : GeneralizedContinuedFraction K} {n : ℕ} [DivisionRing K] theorem continuantsAux_recurrence {gp ppred pred : Pair K} (nth_s_eq : g.s.get? n = some gp) (nth_conts_aux_eq : g.continuantsAux n = ppred) (succ_nth_conts_aux_eq : g.continuantsAux (n + 1) = pred) : g.continuantsAux (n + 2) = ⟨gp.b * pred.a + gp.a * ppred.a, gp.b * pred.b + gp.a * ppred.b⟩ := by simp [*, continuantsAux, nextContinuants, nextDenominator, nextNumerator] #align generalized_continued_fraction.continuants_aux_recurrence GeneralizedContinuedFraction.continuantsAux_recurrence theorem continuants_recurrenceAux {gp ppred pred : Pair K} (nth_s_eq : g.s.get? n = some gp) (nth_conts_aux_eq : g.continuantsAux n = ppred) (succ_nth_conts_aux_eq : g.continuantsAux (n + 1) = pred) : g.continuants (n + 1) = ⟨gp.b * pred.a + gp.a * ppred.a, gp.b * pred.b + gp.a * ppred.b⟩ := by simp [nth_cont_eq_succ_nth_cont_aux, continuantsAux_recurrence nth_s_eq nth_conts_aux_eq succ_nth_conts_aux_eq] #align generalized_continued_fraction.continuants_recurrence_aux GeneralizedContinuedFraction.continuants_recurrenceAux theorem continuants_recurrence {gp ppred pred : Pair K} (succ_nth_s_eq : g.s.get? (n + 1) = some gp) (nth_conts_eq : g.continuants n = ppred) (succ_nth_conts_eq : g.continuants (n + 1) = pred) : g.continuants (n + 2) = ⟨gp.b * pred.a + gp.a * ppred.a, gp.b * pred.b + gp.a * ppred.b⟩ := by rw [nth_cont_eq_succ_nth_cont_aux] at nth_conts_eq succ_nth_conts_eq exact continuants_recurrenceAux succ_nth_s_eq nth_conts_eq succ_nth_conts_eq #align generalized_continued_fraction.continuants_recurrence GeneralizedContinuedFraction.continuants_recurrence
Mathlib/Algebra/ContinuedFractions/ContinuantsRecurrence.lean
50
59
theorem numerators_recurrence {gp : Pair K} {ppredA predA : K} (succ_nth_s_eq : g.s.get? (n + 1) = some gp) (nth_num_eq : g.numerators n = ppredA) (succ_nth_num_eq : g.numerators (n + 1) = predA) : g.numerators (n + 2) = gp.b * predA + gp.a * ppredA := by
obtain ⟨ppredConts, nth_conts_eq, ⟨rfl⟩⟩ : ∃ conts, g.continuants n = conts ∧ conts.a = ppredA := exists_conts_a_of_num nth_num_eq obtain ⟨predConts, succ_nth_conts_eq, ⟨rfl⟩⟩ : ∃ conts, g.continuants (n + 1) = conts ∧ conts.a = predA := exists_conts_a_of_num succ_nth_num_eq rw [num_eq_conts_a, continuants_recurrence succ_nth_s_eq nth_conts_eq succ_nth_conts_eq]
import Mathlib.Data.Finset.Pointwise import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.DFinsupp.Order import Mathlib.Order.Interval.Finset.Basic #align_import data.dfinsupp.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" open DFinsupp Finset open Pointwise variable {ι : Type*} {α : ι → Type*} namespace Finset variable [DecidableEq ι] [∀ i, Zero (α i)] {s : Finset ι} {f : Π₀ i, α i} {t : ∀ i, Finset (α i)} def dfinsupp (s : Finset ι) (t : ∀ i, Finset (α i)) : Finset (Π₀ i, α i) := (s.pi t).map ⟨fun f => DFinsupp.mk s fun i => f i i.2, by refine (mk_injective _).comp fun f g h => ?_ ext i hi convert congr_fun h ⟨i, hi⟩⟩ #align finset.dfinsupp Finset.dfinsupp @[simp] theorem card_dfinsupp (s : Finset ι) (t : ∀ i, Finset (α i)) : (s.dfinsupp t).card = ∏ i ∈ s, (t i).card := (card_map _).trans <| card_pi _ _ #align finset.card_dfinsupp Finset.card_dfinsupp variable [∀ i, DecidableEq (α i)]
Mathlib/Data/DFinsupp/Interval.lean
48
58
theorem mem_dfinsupp_iff : f ∈ s.dfinsupp t ↔ f.support ⊆ s ∧ ∀ i ∈ s, f i ∈ t i := by
refine mem_map.trans ⟨?_, ?_⟩ · rintro ⟨f, hf, rfl⟩ rw [Function.Embedding.coeFn_mk] -- Porting note: added to avoid heartbeat timeout refine ⟨support_mk_subset, fun i hi => ?_⟩ convert mem_pi.1 hf i hi exact mk_of_mem hi · refine fun h => ⟨fun i _ => f i, mem_pi.2 h.2, ?_⟩ ext i dsimp exact ite_eq_left_iff.2 fun hi => (not_mem_support_iff.1 fun H => hi <| h.1 H).symm
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.Convex.Complex #align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16" noncomputable section open Real Set MeasureTheory Filter Asymptotics open scoped Real Topology open Complex hiding exp abs_of_nonneg theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) : (fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by rw [isLittleO_exp_comp_exp_comp] suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by refine Tendsto.congr' ?_ this refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_) rw [mem_Ioi] at hx rw [rpow_sub_one hx.ne'] field_simp [hx.ne'] ring apply Tendsto.atTop_mul_atTop tendsto_id refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_ exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith)) theorem exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) : (fun x : ℝ => exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-x) := by simp_rw [← rpow_two] exact exp_neg_mul_rpow_isLittleO_exp_neg hb one_lt_two #align exp_neg_mul_sq_is_o_exp_neg exp_neg_mul_sq_isLittleO_exp_neg theorem rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg (s : ℝ) {b p : ℝ} (hp : 1 < p) (hb : 0 < b) : (fun x : ℝ => x ^ s * exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by apply ((isBigO_refl (fun x : ℝ => x ^ s) atTop).mul_isLittleO (exp_neg_mul_rpow_isLittleO_exp_neg hb hp)).trans simpa only [mul_comm] using Real.Gamma_integrand_isLittleO s theorem rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) (s : ℝ) : (fun x : ℝ => x ^ s * exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by simp_rw [← rpow_two] exact rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s one_lt_two hb #align rpow_mul_exp_neg_mul_sq_is_o_exp_neg rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg theorem integrableOn_rpow_mul_exp_neg_rpow {p s : ℝ} (hs : -1 < s) (hp : 1 ≤ p) : IntegrableOn (fun x : ℝ => x ^ s * exp (- x ^ p)) (Ioi 0) := by obtain hp | hp := le_iff_lt_or_eq.mp hp · have h_exp : ∀ x, ContinuousAt (fun x => exp (- x)) x := fun x => continuousAt_neg.rexp rw [← Ioc_union_Ioi_eq_Ioi zero_le_one, integrableOn_union] constructor · rw [← integrableOn_Icc_iff_integrableOn_Ioc] refine IntegrableOn.mul_continuousOn ?_ ?_ isCompact_Icc · refine (intervalIntegrable_iff_integrableOn_Icc_of_le zero_le_one).mp ?_ exact intervalIntegral.intervalIntegrable_rpow' hs · intro x _ change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Icc 0 1) x refine ContinuousAt.comp_continuousWithinAt (h_exp _) ?_ exact continuousWithinAt_id.rpow_const (Or.inr (le_of_lt (lt_trans zero_lt_one hp))) · have h_rpow : ∀ (x r : ℝ), x ∈ Ici 1 → ContinuousWithinAt (fun x => x ^ r) (Ici 1) x := by intro _ _ hx refine continuousWithinAt_id.rpow_const (Or.inl ?_) exact ne_of_gt (lt_of_lt_of_le zero_lt_one hx) refine integrable_of_isBigO_exp_neg (by norm_num : (0:ℝ) < 1 / 2) (ContinuousOn.mul (fun x hx => h_rpow x s hx) (fun x hx => ?_)) (IsLittleO.isBigO ?_) · change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Ici 1) x exact ContinuousAt.comp_continuousWithinAt (h_exp _) (h_rpow x p hx) · convert rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s hp (by norm_num : (0:ℝ) < 1) using 3 rw [neg_mul, one_mul] · simp_rw [← hp, Real.rpow_one] convert Real.GammaIntegral_convergent (by linarith : 0 < s + 1) using 2 rw [add_sub_cancel_right, mul_comm]
Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean
91
102
theorem integrableOn_rpow_mul_exp_neg_mul_rpow {p s b : ℝ} (hs : -1 < s) (hp : 1 ≤ p) (hb : 0 < b) : IntegrableOn (fun x : ℝ => x ^ s * exp (- b * x ^ p)) (Ioi 0) := by
have hib : 0 < b ^ (-p⁻¹) := rpow_pos_of_pos hb _ suffices IntegrableOn (fun x ↦ (b ^ (-p⁻¹)) ^ s * (x ^ s * exp (-x ^ p))) (Ioi 0) by rw [show 0 = b ^ (-p⁻¹) * 0 by rw [mul_zero], ← integrableOn_Ioi_comp_mul_left_iff _ _ hib] refine this.congr_fun (fun _ hx => ?_) measurableSet_Ioi rw [← mul_assoc, mul_rpow, mul_rpow, ← rpow_mul (z := p), neg_mul, neg_mul, inv_mul_cancel, rpow_neg_one, mul_inv_cancel_left₀] all_goals linarith [mem_Ioi.mp hx] refine Integrable.const_mul ?_ _ rw [← IntegrableOn] exact integrableOn_rpow_mul_exp_neg_rpow hs hp
import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Ideal.Over import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.jacobson from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" set_option autoImplicit true universe u namespace Ideal open Polynomial open Polynomial section IsJacobson variable {R S : Type*} [CommRing R] [CommRing S] {I : Ideal R} class IsJacobson (R : Type*) [CommRing R] : Prop where out' : ∀ I : Ideal R, I.IsRadical → I.jacobson = I #align ideal.is_jacobson Ideal.IsJacobson theorem isJacobson_iff {R} [CommRing R] : IsJacobson R ↔ ∀ I : Ideal R, I.IsRadical → I.jacobson = I := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align ideal.is_jacobson_iff Ideal.isJacobson_iff theorem IsJacobson.out {R} [CommRing R] : IsJacobson R → ∀ {I : Ideal R}, I.IsRadical → I.jacobson = I := isJacobson_iff.1 #align ideal.is_jacobson.out Ideal.IsJacobson.out theorem isJacobson_iff_prime_eq : IsJacobson R ↔ ∀ P : Ideal R, IsPrime P → P.jacobson = P := by refine isJacobson_iff.trans ⟨fun h I hI => h I hI.isRadical, ?_⟩ refine fun h I hI ↦ le_antisymm (fun x hx ↦ ?_) (fun x hx ↦ mem_sInf.mpr fun _ hJ ↦ hJ.left hx) rw [← hI.radical, radical_eq_sInf I, mem_sInf] intro P hP rw [Set.mem_setOf_eq] at hP erw [mem_sInf] at hx erw [← h P hP.right, mem_sInf] exact fun J hJ => hx ⟨le_trans hP.left hJ.left, hJ.right⟩ #align ideal.is_jacobson_iff_prime_eq Ideal.isJacobson_iff_prime_eq theorem isJacobson_iff_sInf_maximal : IsJacobson R ↔ ∀ {I : Ideal R}, I.IsPrime → ∃ M : Set (Ideal R), (∀ J ∈ M, IsMaximal J ∨ J = ⊤) ∧ I = sInf M := ⟨fun H _I h => eq_jacobson_iff_sInf_maximal.1 (H.out h.isRadical), fun H => isJacobson_iff_prime_eq.2 fun _P hP => eq_jacobson_iff_sInf_maximal.2 (H hP)⟩ #align ideal.is_jacobson_iff_Inf_maximal Ideal.isJacobson_iff_sInf_maximal theorem isJacobson_iff_sInf_maximal' : IsJacobson R ↔ ∀ {I : Ideal R}, I.IsPrime → ∃ M : Set (Ideal R), (∀ J ∈ M, ∀ (K : Ideal R), J < K → K = ⊤) ∧ I = sInf M := ⟨fun H _I h => eq_jacobson_iff_sInf_maximal'.1 (H.out h.isRadical), fun H => isJacobson_iff_prime_eq.2 fun _P hP => eq_jacobson_iff_sInf_maximal'.2 (H hP)⟩ #align ideal.is_jacobson_iff_Inf_maximal' Ideal.isJacobson_iff_sInf_maximal' theorem radical_eq_jacobson [H : IsJacobson R] (I : Ideal R) : I.radical = I.jacobson := le_antisymm (le_sInf fun _J ⟨hJ, hJ_max⟩ => (IsPrime.radical_le_iff hJ_max.isPrime).mpr hJ) (H.out (radical_isRadical I) ▸ jacobson_mono le_radical) #align ideal.radical_eq_jacobson Ideal.radical_eq_jacobson instance (priority := 100) isJacobson_field {K : Type*} [Field K] : IsJacobson K := ⟨fun I _ => Or.recOn (eq_bot_or_top I) (fun h => le_antisymm (sInf_le ⟨le_rfl, h.symm ▸ bot_isMaximal⟩) (h.symm ▸ bot_le)) fun h => by rw [h, jacobson_eq_top_iff]⟩ #align ideal.is_jacobson_field Ideal.isJacobson_field theorem isJacobson_of_surjective [H : IsJacobson R] : (∃ f : R →+* S, Function.Surjective ↑f) → IsJacobson S := by rintro ⟨f, hf⟩ rw [isJacobson_iff_sInf_maximal] intro p hp use map f '' { J : Ideal R | comap f p ≤ J ∧ J.IsMaximal } use fun j ⟨J, hJ, hmap⟩ => hmap ▸ (map_eq_top_or_isMaximal_of_surjective f hf hJ.right).symm have : p = map f (comap f p).jacobson := (IsJacobson.out' _ <| hp.isRadical.comap f).symm ▸ (map_comap_of_surjective f hf p).symm exact this.trans (map_sInf hf fun J ⟨hJ, _⟩ => le_trans (Ideal.ker_le_comap f) hJ) #align ideal.is_jacobson_of_surjective Ideal.isJacobson_of_surjective instance (priority := 100) isJacobson_quotient [IsJacobson R] : IsJacobson (R ⧸ I) := isJacobson_of_surjective ⟨Quotient.mk I, by rintro ⟨x⟩ use x rfl⟩ #align ideal.is_jacobson_quotient Ideal.isJacobson_quotient theorem isJacobson_iso (e : R ≃+* S) : IsJacobson R ↔ IsJacobson S := ⟨fun h => @isJacobson_of_surjective _ _ _ _ h ⟨(e : R →+* S), e.surjective⟩, fun h => @isJacobson_of_surjective _ _ _ _ h ⟨(e.symm : S →+* R), e.symm.surjective⟩⟩ #align ideal.is_jacobson_iso Ideal.isJacobson_iso
Mathlib/RingTheory/Jacobson.lean
132
148
theorem isJacobson_of_isIntegral [Algebra R S] [Algebra.IsIntegral R S] (hR : IsJacobson R) : IsJacobson S := by
rw [isJacobson_iff_prime_eq] intro P hP by_cases hP_top : comap (algebraMap R S) P = ⊤ · simp [comap_eq_top_iff.1 hP_top] · haveI : Nontrivial (R ⧸ comap (algebraMap R S) P) := Quotient.nontrivial hP_top rw [jacobson_eq_iff_jacobson_quotient_eq_bot] refine eq_bot_of_comap_eq_bot (R := R ⧸ comap (algebraMap R S) P) ?_ rw [eq_bot_iff, ← jacobson_eq_iff_jacobson_quotient_eq_bot.1 ((isJacobson_iff_prime_eq.1 hR) (comap (algebraMap R S) P) (comap_isPrime _ _)), comap_jacobson] refine sInf_le_sInf fun J hJ => ?_ simp only [true_and_iff, Set.mem_image, bot_le, Set.mem_setOf_eq] have : J.IsMaximal := by simpa using hJ exact exists_ideal_over_maximal_of_isIntegral J (comap_bot_le_of_injective _ algebraMap_quotient_injective)
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section ContravariantLE variable [Mul α] [Preorder α] variable [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap HMul.hMul) LE.le] @[to_additive Icc_add_Icc_subset] theorem Icc_mul_Icc_subset' (a b c d : α) : Icc a b * Icc c d ⊆ Icc (a * c) (b * d) := by rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩ exact ⟨mul_le_mul' hya hzc, mul_le_mul' hyb hzd⟩ @[to_additive Iic_add_Iic_subset] theorem Iic_mul_Iic_subset' (a b : α) : Iic a * Iic b ⊆ Iic (a * b) := by rintro x ⟨y, hya, z, hzb, rfl⟩ exact mul_le_mul' hya hzb @[to_additive Ici_add_Ici_subset]
Mathlib/Data/Set/Pointwise/Interval.lean
56
58
theorem Ici_mul_Ici_subset' (a b : α) : Ici a * Ici b ⊆ Ici (a * b) := by
rintro x ⟨y, hya, z, hzb, rfl⟩ exact mul_le_mul' hya hzb
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv import Mathlib.Analysis.SpecialFunctions.Log.Basic #align_import analysis.special_functions.arsinh from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open Function Filter Set open scoped Topology namespace Real variable {x y : ℝ} -- @[pp_nodot] is no longer needed def arsinh (x : ℝ) := log (x + √(1 + x ^ 2)) #align real.arsinh Real.arsinh theorem exp_arsinh (x : ℝ) : exp (arsinh x) = x + √(1 + x ^ 2) := by apply exp_log rw [← neg_lt_iff_pos_add'] apply lt_sqrt_of_sq_lt simp #align real.exp_arsinh Real.exp_arsinh @[simp] theorem arsinh_zero : arsinh 0 = 0 := by simp [arsinh] #align real.arsinh_zero Real.arsinh_zero @[simp] theorem arsinh_neg (x : ℝ) : arsinh (-x) = -arsinh x := by rw [← exp_eq_exp, exp_arsinh, exp_neg, exp_arsinh] apply eq_inv_of_mul_eq_one_left rw [neg_sq, neg_add_eq_sub, add_comm x, mul_comm, ← sq_sub_sq, sq_sqrt, add_sub_cancel_right] exact add_nonneg zero_le_one (sq_nonneg _) #align real.arsinh_neg Real.arsinh_neg @[simp] theorem sinh_arsinh (x : ℝ) : sinh (arsinh x) = x := by rw [sinh_eq, ← arsinh_neg, exp_arsinh, exp_arsinh, neg_sq]; field_simp #align real.sinh_arsinh Real.sinh_arsinh @[simp] theorem cosh_arsinh (x : ℝ) : cosh (arsinh x) = √(1 + x ^ 2) := by rw [← sqrt_sq (cosh_pos _).le, cosh_sq', sinh_arsinh] #align real.cosh_arsinh Real.cosh_arsinh theorem sinh_surjective : Surjective sinh := LeftInverse.surjective sinh_arsinh #align real.sinh_surjective Real.sinh_surjective theorem sinh_bijective : Bijective sinh := ⟨sinh_injective, sinh_surjective⟩ #align real.sinh_bijective Real.sinh_bijective @[simp] theorem arsinh_sinh (x : ℝ) : arsinh (sinh x) = x := rightInverse_of_injective_of_leftInverse sinh_injective sinh_arsinh x #align real.arsinh_sinh Real.arsinh_sinh @[simps] def sinhEquiv : ℝ ≃ ℝ where toFun := sinh invFun := arsinh left_inv := arsinh_sinh right_inv := sinh_arsinh #align real.sinh_equiv Real.sinhEquiv @[simps! (config := .asFn)] def sinhOrderIso : ℝ ≃o ℝ where toEquiv := sinhEquiv map_rel_iff' := @sinh_le_sinh #align real.sinh_order_iso Real.sinhOrderIso @[simps! (config := .asFn)] def sinhHomeomorph : ℝ ≃ₜ ℝ := sinhOrderIso.toHomeomorph #align real.sinh_homeomorph Real.sinhHomeomorph theorem arsinh_bijective : Bijective arsinh := sinhEquiv.symm.bijective #align real.arsinh_bijective Real.arsinh_bijective theorem arsinh_injective : Injective arsinh := sinhEquiv.symm.injective #align real.arsinh_injective Real.arsinh_injective theorem arsinh_surjective : Surjective arsinh := sinhEquiv.symm.surjective #align real.arsinh_surjective Real.arsinh_surjective theorem arsinh_strictMono : StrictMono arsinh := sinhOrderIso.symm.strictMono #align real.arsinh_strict_mono Real.arsinh_strictMono @[simp] theorem arsinh_inj : arsinh x = arsinh y ↔ x = y := arsinh_injective.eq_iff #align real.arsinh_inj Real.arsinh_inj @[simp] theorem arsinh_le_arsinh : arsinh x ≤ arsinh y ↔ x ≤ y := sinhOrderIso.symm.le_iff_le #align real.arsinh_le_arsinh Real.arsinh_le_arsinh @[gcongr] protected alias ⟨_, GCongr.arsinh_le_arsinh⟩ := arsinh_le_arsinh @[simp] theorem arsinh_lt_arsinh : arsinh x < arsinh y ↔ x < y := sinhOrderIso.symm.lt_iff_lt #align real.arsinh_lt_arsinh Real.arsinh_lt_arsinh @[simp] theorem arsinh_eq_zero_iff : arsinh x = 0 ↔ x = 0 := arsinh_injective.eq_iff' arsinh_zero #align real.arsinh_eq_zero_iff Real.arsinh_eq_zero_iff @[simp] theorem arsinh_nonneg_iff : 0 ≤ arsinh x ↔ 0 ≤ x := by rw [← sinh_le_sinh, sinh_zero, sinh_arsinh] #align real.arsinh_nonneg_iff Real.arsinh_nonneg_iff @[simp]
Mathlib/Analysis/SpecialFunctions/Arsinh.lean
168
168
theorem arsinh_nonpos_iff : arsinh x ≤ 0 ↔ x ≤ 0 := by
rw [← sinh_le_sinh, sinh_zero, sinh_arsinh]
import Mathlib.GroupTheory.Coxeter.Length import Mathlib.Data.ZMod.Parity namespace CoxeterSystem open List Matrix Function variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd local prefix:100 "ℓ" => cs.length def IsReflection (t : W) : Prop := ∃ w i, t = w * s i * w⁻¹ theorem isReflection_simple (i : B) : cs.IsReflection (s i) := by use 1, i; simp namespace IsReflection variable {cs} variable {t : W} (ht : cs.IsReflection t) theorem pow_two : t ^ 2 = 1 := by rcases ht with ⟨w, i, rfl⟩ simp theorem mul_self : t * t = 1 := by rcases ht with ⟨w, i, rfl⟩ simp
Mathlib/GroupTheory/Coxeter/Inversion.lean
76
78
theorem inv : t⁻¹ = t := by
rcases ht with ⟨w, i, rfl⟩ simp [mul_assoc]
import Mathlib.Algebra.FreeMonoid.Basic #align_import algebra.free_monoid.count from "leanprover-community/mathlib"@"a2d2e18906e2b62627646b5d5be856e6a642062f" variable {α : Type*} (p : α → Prop) [DecidablePred p] namespace FreeAddMonoid def countP : FreeAddMonoid α →+ ℕ where toFun := List.countP p map_zero' := List.countP_nil _ map_add' := List.countP_append _ #align free_add_monoid.countp FreeAddMonoid.countP
Mathlib/Algebra/FreeMonoid/Count.lean
31
32
theorem countP_of (x : α) : countP p (of x) = if p x = true then 1 else 0 := by
simp [countP, List.countP, List.countP.go]
import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Data.Int.Log #align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {b x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def logb (b x : ℝ) : ℝ := log x / log b #align real.logb Real.logb theorem log_div_log : log x / log b = logb b x := rfl #align real.log_div_log Real.log_div_log @[simp] theorem logb_zero : logb b 0 = 0 := by simp [logb] #align real.logb_zero Real.logb_zero @[simp] theorem logb_one : logb b 1 = 0 := by simp [logb] #align real.logb_one Real.logb_one @[simp] lemma logb_self_eq_one (hb : 1 < b) : logb b b = 1 := div_self (log_pos hb).ne' lemma logb_self_eq_one_iff : logb b b = 1 ↔ b ≠ 0 ∧ b ≠ 1 ∧ b ≠ -1 := Iff.trans ⟨fun h h' => by simp [logb, h'] at h, div_self⟩ log_ne_zero @[simp] theorem logb_abs (x : ℝ) : logb b |x| = logb b x := by rw [logb, logb, log_abs] #align real.logb_abs Real.logb_abs @[simp] theorem logb_neg_eq_logb (x : ℝ) : logb b (-x) = logb b x := by rw [← logb_abs x, ← logb_abs (-x), abs_neg] #align real.logb_neg_eq_logb Real.logb_neg_eq_logb theorem logb_mul (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x * y) = logb b x + logb b y := by simp_rw [logb, log_mul hx hy, add_div] #align real.logb_mul Real.logb_mul theorem logb_div (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x / y) = logb b x - logb b y := by simp_rw [logb, log_div hx hy, sub_div] #align real.logb_div Real.logb_div @[simp] theorem logb_inv (x : ℝ) : logb b x⁻¹ = -logb b x := by simp [logb, neg_div] #align real.logb_inv Real.logb_inv theorem inv_logb (a b : ℝ) : (logb a b)⁻¹ = logb b a := by simp_rw [logb, inv_div] #align real.inv_logb Real.inv_logb theorem inv_logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : (logb (a * b) c)⁻¹ = (logb a c)⁻¹ + (logb b c)⁻¹ := by simp_rw [inv_logb]; exact logb_mul h₁ h₂ #align real.inv_logb_mul_base Real.inv_logb_mul_base theorem inv_logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : (logb (a / b) c)⁻¹ = (logb a c)⁻¹ - (logb b c)⁻¹ := by simp_rw [inv_logb]; exact logb_div h₁ h₂ #align real.inv_logb_div_base Real.inv_logb_div_base theorem logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : logb (a * b) c = ((logb a c)⁻¹ + (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_mul_base h₁ h₂ c, inv_inv] #align real.logb_mul_base Real.logb_mul_base theorem logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : logb (a / b) c = ((logb a c)⁻¹ - (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_div_base h₁ h₂ c, inv_inv] #align real.logb_div_base Real.logb_div_base theorem mul_logb {a b c : ℝ} (h₁ : b ≠ 0) (h₂ : b ≠ 1) (h₃ : b ≠ -1) : logb a b * logb b c = logb a c := by unfold logb rw [mul_comm, div_mul_div_cancel _ (log_ne_zero.mpr ⟨h₁, h₂, h₃⟩)] #align real.mul_logb Real.mul_logb theorem div_logb {a b c : ℝ} (h₁ : c ≠ 0) (h₂ : c ≠ 1) (h₃ : c ≠ -1) : logb a c / logb b c = logb a b := div_div_div_cancel_left' _ _ <| log_ne_zero.mpr ⟨h₁, h₂, h₃⟩ #align real.div_logb Real.div_logb theorem logb_rpow_eq_mul_logb_of_pos (hx : 0 < x) : logb b (x ^ y) = y * logb b x := by rw [logb, log_rpow hx, logb, mul_div_assoc] theorem logb_pow {k : ℕ} (hx : 0 < x) : logb b (x ^ k) = k * logb b x := by rw [← rpow_natCast, logb_rpow_eq_mul_logb_of_pos hx] section OneLtB variable (hb : 1 < b) private theorem b_pos : 0 < b := by linarith -- Porting note: prime added to avoid clashing with `b_ne_one` further down the file private theorem b_ne_one' : b ≠ 1 := by linarith @[simp]
Mathlib/Analysis/SpecialFunctions/Log/Base.lean
195
196
theorem logb_le_logb (h : 0 < x) (h₁ : 0 < y) : logb b x ≤ logb b y ↔ x ≤ y := by
rw [logb, logb, div_le_div_right (log_pos hb), log_le_log_iff h h₁]
import Mathlib.Algebra.EuclideanDomain.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Algebra.GCDMonoid.Nat #align_import ring_theory.int.basic from "leanprover-community/mathlib"@"e655e4ea5c6d02854696f97494997ba4c31be802"
Mathlib/RingTheory/Int/Basic.lean
88
90
theorem Int.Prime.dvd_mul {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : p ∣ m.natAbs ∨ p ∣ n.natAbs := by
rwa [← hp.dvd_mul, ← Int.natAbs_mul, ← Int.natCast_dvd]
import Mathlib.Dynamics.Newton import Mathlib.LinearAlgebra.Semisimple open Algebra Polynomial namespace Module.End variable {K V : Type*} [Field K] [AddCommGroup V] [Module K V] [FiniteDimensional K V] {f : End K V}
Mathlib/LinearAlgebra/JordanChevalley.lean
42
65
theorem exists_isNilpotent_isSemisimple_of_separable_of_dvd_pow {P : K[X]} {k : ℕ} (sep : P.Separable) (nil : minpoly K f ∣ P ^ k) : ∃ᵉ (n ∈ adjoin K {f}) (s ∈ adjoin K {f}), IsNilpotent n ∧ IsSemisimple s ∧ f = n + s := by
set ff : adjoin K {f} := ⟨f, self_mem_adjoin_singleton K f⟩ set P' := derivative P have nil' : IsNilpotent (aeval ff P) := by use k obtain ⟨q, hq⟩ := nil rw [← AlgHom.map_pow, Subtype.ext_iff] simp [ff, hq] have sep' : IsUnit (aeval ff P') := by obtain ⟨a, b, h⟩ : IsCoprime (P ^ k) P' := sep.pow_left replace h : (aeval f b) * (aeval f P') = 1 := by simpa only [map_add, map_mul, map_one, minpoly.dvd_iff.mp nil, mul_zero, zero_add] using (aeval f).congr_arg h refine isUnit_of_mul_eq_one_right (aeval ff b) _ (Subtype.ext_iff.mpr ?_) simpa [ff, coe_aeval_mk_apply] using h obtain ⟨⟨s, mem⟩, ⟨⟨k, hk⟩, hss⟩, -⟩ := exists_unique_nilpotent_sub_and_aeval_eq_zero nil' sep' refine ⟨f - s, ?_, s, mem, ⟨k, ?_⟩, ?_, (sub_add_cancel f s).symm⟩ · exact sub_mem (self_mem_adjoin_singleton K f) mem · rw [Subtype.ext_iff] at hk simpa using hk · replace hss : aeval s P = 0 := by rwa [Subtype.ext_iff, coe_aeval_mk_apply] at hss exact isSemisimple_of_squarefree_aeval_eq_zero sep.squarefree hss
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section Prod section CLMCompApply open ContinuousLinearMap variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {c : 𝕜 → F →L[𝕜] G} {c' : F →L[𝕜] G} {d : 𝕜 → E →L[𝕜] F} {d' : E →L[𝕜] F} {u : 𝕜 → F} {u' : F} theorem HasStrictDerivAt.clm_comp (hc : HasStrictDerivAt c c' x) (hd : HasStrictDerivAt d d' x) : HasStrictDerivAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') x := by have := (hc.hasStrictFDerivAt.clm_comp hd.hasStrictFDerivAt).hasStrictDerivAt rwa [add_apply, comp_apply, comp_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this #align has_strict_deriv_at.clm_comp HasStrictDerivAt.clm_comp theorem HasDerivWithinAt.clm_comp (hc : HasDerivWithinAt c c' s x) (hd : HasDerivWithinAt d d' s x) : HasDerivWithinAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') s x := by have := (hc.hasFDerivWithinAt.clm_comp hd.hasFDerivWithinAt).hasDerivWithinAt rwa [add_apply, comp_apply, comp_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this #align has_deriv_within_at.clm_comp HasDerivWithinAt.clm_comp theorem HasDerivAt.clm_comp (hc : HasDerivAt c c' x) (hd : HasDerivAt d d' x) : HasDerivAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') x := by rw [← hasDerivWithinAt_univ] at * exact hc.clm_comp hd #align has_deriv_at.clm_comp HasDerivAt.clm_comp theorem derivWithin_clm_comp (hc : DifferentiableWithinAt 𝕜 c s x) (hd : DifferentiableWithinAt 𝕜 d s x) (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin (fun y => (c y).comp (d y)) s x = (derivWithin c s x).comp (d x) + (c x).comp (derivWithin d s x) := (hc.hasDerivWithinAt.clm_comp hd.hasDerivWithinAt).derivWithin hxs #align deriv_within_clm_comp derivWithin_clm_comp theorem deriv_clm_comp (hc : DifferentiableAt 𝕜 c x) (hd : DifferentiableAt 𝕜 d x) : deriv (fun y => (c y).comp (d y)) x = (deriv c x).comp (d x) + (c x).comp (deriv d x) := (hc.hasDerivAt.clm_comp hd.hasDerivAt).deriv #align deriv_clm_comp deriv_clm_comp theorem HasStrictDerivAt.clm_apply (hc : HasStrictDerivAt c c' x) (hu : HasStrictDerivAt u u' x) : HasStrictDerivAt (fun y => (c y) (u y)) (c' (u x) + c x u') x := by have := (hc.hasStrictFDerivAt.clm_apply hu.hasStrictFDerivAt).hasStrictDerivAt rwa [add_apply, comp_apply, flip_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this #align has_strict_deriv_at.clm_apply HasStrictDerivAt.clm_apply
Mathlib/Analysis/Calculus/Deriv/Mul.lean
487
492
theorem HasDerivWithinAt.clm_apply (hc : HasDerivWithinAt c c' s x) (hu : HasDerivWithinAt u u' s x) : HasDerivWithinAt (fun y => (c y) (u y)) (c' (u x) + c x u') s x := by
have := (hc.hasFDerivWithinAt.clm_apply hu.hasFDerivWithinAt).hasDerivWithinAt rwa [add_apply, comp_apply, flip_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.IdealOperations import Mathlib.Algebra.Lie.Quotient #align_import algebra.lie.normalizer from "leanprover-community/mathlib"@"938fead7abdc0cbbca8eba7a1052865a169dc102" variable {R L M M' : Type*} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M'] [Module R M'] [LieRingModule L M'] [LieModule R L M'] namespace LieSubmodule variable (N : LieSubmodule R L M) {N₁ N₂ : LieSubmodule R L M} def normalizer : LieSubmodule R L M where carrier := {m | ∀ x : L, ⁅x, m⁆ ∈ N} add_mem' hm₁ hm₂ x := by rw [lie_add]; exact N.add_mem' (hm₁ x) (hm₂ x) zero_mem' x := by simp smul_mem' t m hm x := by rw [lie_smul]; exact N.smul_mem' t (hm x) lie_mem {x m} hm y := by rw [leibniz_lie]; exact N.add_mem' (hm ⁅y, x⁆) (N.lie_mem (hm y)) #align lie_submodule.normalizer LieSubmodule.normalizer @[simp] theorem mem_normalizer (m : M) : m ∈ N.normalizer ↔ ∀ x : L, ⁅x, m⁆ ∈ N := Iff.rfl #align lie_submodule.mem_normalizer LieSubmodule.mem_normalizer @[simp] theorem le_normalizer : N ≤ N.normalizer := by intro m hm rw [mem_normalizer] exact fun x => N.lie_mem hm #align lie_submodule.le_normalizer LieSubmodule.le_normalizer theorem normalizer_inf : (N₁ ⊓ N₂).normalizer = N₁.normalizer ⊓ N₂.normalizer := by ext; simp [← forall_and] #align lie_submodule.normalizer_inf LieSubmodule.normalizer_inf @[mono]
Mathlib/Algebra/Lie/Normalizer.lean
75
78
theorem monotone_normalizer : Monotone (normalizer : LieSubmodule R L M → LieSubmodule R L M) := by
intro N₁ N₂ h m hm rw [mem_normalizer] at hm ⊢ exact fun x => h (hm x)
import Mathlib.RingTheory.DedekindDomain.Ideal #align_import number_theory.ramification_inertia from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" namespace Ideal universe u v variable {R : Type u} [CommRing R] variable {S : Type v} [CommRing S] (f : R →+* S) variable (p : Ideal R) (P : Ideal S) open FiniteDimensional open UniqueFactorizationMonoid section DecEq open scoped Classical noncomputable def ramificationIdx : ℕ := sSup {n | map f p ≤ P ^ n} #align ideal.ramification_idx Ideal.ramificationIdx variable {f p P} theorem ramificationIdx_eq_find (h : ∃ n, ∀ k, map f p ≤ P ^ k → k ≤ n) : ramificationIdx f p P = Nat.find h := Nat.sSup_def h #align ideal.ramification_idx_eq_find Ideal.ramificationIdx_eq_find theorem ramificationIdx_eq_zero (h : ∀ n : ℕ, ∃ k, map f p ≤ P ^ k ∧ n < k) : ramificationIdx f p P = 0 := dif_neg (by push_neg; exact h) #align ideal.ramification_idx_eq_zero Ideal.ramificationIdx_eq_zero theorem ramificationIdx_spec {n : ℕ} (hle : map f p ≤ P ^ n) (hgt : ¬map f p ≤ P ^ (n + 1)) : ramificationIdx f p P = n := by let Q : ℕ → Prop := fun m => ∀ k : ℕ, map f p ≤ P ^ k → k ≤ m have : Q n := by intro k hk refine le_of_not_lt fun hnk => ?_ exact hgt (hk.trans (Ideal.pow_le_pow_right hnk)) rw [ramificationIdx_eq_find ⟨n, this⟩] refine le_antisymm (Nat.find_min' _ this) (le_of_not_gt fun h : Nat.find _ < n => ?_) obtain this' := Nat.find_spec ⟨n, this⟩ exact h.not_le (this' _ hle) #align ideal.ramification_idx_spec Ideal.ramificationIdx_spec theorem ramificationIdx_lt {n : ℕ} (hgt : ¬map f p ≤ P ^ n) : ramificationIdx f p P < n := by cases' n with n n · simp at hgt · rw [Nat.lt_succ_iff] have : ∀ k, map f p ≤ P ^ k → k ≤ n := by refine fun k hk => le_of_not_lt fun hnk => ?_ exact hgt (hk.trans (Ideal.pow_le_pow_right hnk)) rw [ramificationIdx_eq_find ⟨n, this⟩] exact Nat.find_min' ⟨n, this⟩ this #align ideal.ramification_idx_lt Ideal.ramificationIdx_lt @[simp] theorem ramificationIdx_bot : ramificationIdx f ⊥ P = 0 := dif_neg <| not_exists.mpr fun n hn => n.lt_succ_self.not_le (hn _ (by simp)) #align ideal.ramification_idx_bot Ideal.ramificationIdx_bot @[simp] theorem ramificationIdx_of_not_le (h : ¬map f p ≤ P) : ramificationIdx f p P = 0 := ramificationIdx_spec (by simp) (by simpa using h) #align ideal.ramification_idx_of_not_le Ideal.ramificationIdx_of_not_le theorem ramificationIdx_ne_zero {e : ℕ} (he : e ≠ 0) (hle : map f p ≤ P ^ e) (hnle : ¬map f p ≤ P ^ (e + 1)) : ramificationIdx f p P ≠ 0 := by rwa [ramificationIdx_spec hle hnle] #align ideal.ramification_idx_ne_zero Ideal.ramificationIdx_ne_zero
Mathlib/NumberTheory/RamificationInertia.lean
121
124
theorem le_pow_of_le_ramificationIdx {n : ℕ} (hn : n ≤ ramificationIdx f p P) : map f p ≤ P ^ n := by
contrapose! hn exact ramificationIdx_lt hn
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] theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by rw [cylinder, preimage_univ] @[simp] theorem cylinder_eq_empty_iff [h_nonempty : Nonempty (∀ i, α i)] (s : Finset ι) (S : Set (∀ i : s, α i)) : cylinder s S = ∅ ↔ S = ∅ := by refine ⟨fun h ↦ ?_, fun h ↦ by (rw [h]; exact cylinder_empty _)⟩ by_contra hS rw [← Ne, ← nonempty_iff_ne_empty] at hS let f := hS.some have hf : f ∈ S := hS.choose_spec classical let f' : ∀ i, α i := fun i ↦ if hi : i ∈ s then f ⟨i, hi⟩ else h_nonempty.some i have hf' : f' ∈ cylinder s S := by rw [mem_cylinder] simpa only [f', Finset.coe_mem, dif_pos] rw [h] at hf' exact not_mem_empty _ hf' theorem inter_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∩ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∩ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by ext1 f; simp only [mem_inter_iff, mem_cylinder, mem_setOf_eq]; rfl theorem inter_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) : cylinder s S₁ ∩ cylinder s S₂ = cylinder s (S₁ ∩ S₂) := by classical rw [inter_cylinder]; rfl
Mathlib/MeasureTheory/Constructions/Cylinders.lean
197
203
theorem union_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∪ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∪ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by
ext1 f; simp only [mem_union, mem_cylinder, mem_setOf_eq]; rfl
import Mathlib.ModelTheory.ElementaryMaps open FirstOrder namespace FirstOrder namespace Language open Structure variable {L : Language} {M : Type*} {N : Type*} {P : Type*} {Q : Type*} variable [L.Structure M] [L.Structure N] [L.Structure P] [L.Structure Q] def Substructure.IsElementary (S : L.Substructure M) : Prop := ∀ ⦃n⦄ (φ : L.Formula (Fin n)) (x : Fin n → S), φ.Realize (((↑) : _ → M) ∘ x) ↔ φ.Realize x #align first_order.language.substructure.is_elementary FirstOrder.Language.Substructure.IsElementary variable (L M) structure ElementarySubstructure where toSubstructure : L.Substructure M isElementary' : toSubstructure.IsElementary #align first_order.language.elementary_substructure FirstOrder.Language.ElementarySubstructure #align first_order.language.elementary_substructure.to_substructure FirstOrder.Language.ElementarySubstructure.toSubstructure #align first_order.language.elementary_substructure.is_elementary' FirstOrder.Language.ElementarySubstructure.isElementary' variable {L M} namespace ElementarySubstructure attribute [coe] toSubstructure instance instCoe : Coe (L.ElementarySubstructure M) (L.Substructure M) := ⟨ElementarySubstructure.toSubstructure⟩ #align first_order.language.elementary_substructure.first_order.language.substructure.has_coe FirstOrder.Language.ElementarySubstructure.instCoe instance instSetLike : SetLike (L.ElementarySubstructure M) M := ⟨fun x => x.toSubstructure.carrier, fun ⟨⟨s, hs1⟩, hs2⟩ ⟨⟨t, ht1⟩, _⟩ _ => by congr⟩ #align first_order.language.elementary_substructure.set_like FirstOrder.Language.ElementarySubstructure.instSetLike instance inducedStructure (S : L.ElementarySubstructure M) : L.Structure S := Substructure.inducedStructure set_option linter.uppercaseLean3 false in #align first_order.language.elementary_substructure.induced_Structure FirstOrder.Language.ElementarySubstructure.inducedStructure @[simp] theorem isElementary (S : L.ElementarySubstructure M) : (S : L.Substructure M).IsElementary := S.isElementary' #align first_order.language.elementary_substructure.is_elementary FirstOrder.Language.ElementarySubstructure.isElementary def subtype (S : L.ElementarySubstructure M) : S ↪ₑ[L] M where toFun := (↑) map_formula' := S.isElementary #align first_order.language.elementary_substructure.subtype FirstOrder.Language.ElementarySubstructure.subtype @[simp] theorem coeSubtype {S : L.ElementarySubstructure M} : ⇑S.subtype = ((↑) : S → M) := rfl #align first_order.language.elementary_substructure.coe_subtype FirstOrder.Language.ElementarySubstructure.coeSubtype instance instTop : Top (L.ElementarySubstructure M) := ⟨⟨⊤, fun _ _ _ => Substructure.realize_formula_top.symm⟩⟩ #align first_order.language.elementary_substructure.has_top FirstOrder.Language.ElementarySubstructure.instTop instance instInhabited : Inhabited (L.ElementarySubstructure M) := ⟨⊤⟩ #align first_order.language.elementary_substructure.inhabited FirstOrder.Language.ElementarySubstructure.instInhabited @[simp] theorem mem_top (x : M) : x ∈ (⊤ : L.ElementarySubstructure M) := Set.mem_univ x #align first_order.language.elementary_substructure.mem_top FirstOrder.Language.ElementarySubstructure.mem_top @[simp] theorem coe_top : ((⊤ : L.ElementarySubstructure M) : Set M) = Set.univ := rfl #align first_order.language.elementary_substructure.coe_top FirstOrder.Language.ElementarySubstructure.coe_top @[simp] theorem realize_sentence (S : L.ElementarySubstructure M) (φ : L.Sentence) : S ⊨ φ ↔ M ⊨ φ := S.subtype.map_sentence φ #align first_order.language.elementary_substructure.realize_sentence FirstOrder.Language.ElementarySubstructure.realize_sentence @[simp]
Mathlib/ModelTheory/ElementarySubstructures.lean
111
112
theorem theory_model_iff (S : L.ElementarySubstructure M) (T : L.Theory) : S ⊨ T ↔ M ⊨ T := by
simp only [Theory.model_iff, realize_sentence]
import Mathlib.Probability.Kernel.MeasurableIntegral #align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b" open MeasureTheory open scoped ENNReal namespace ProbabilityTheory namespace kernel variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} section CompositionProduct variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)} noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) : ℝ≥0∞ := ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a #align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) : compProdFun κ η a ∅ = 0 := by simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty, MeasureTheory.lintegral_const, zero_mul] #align probability_theory.kernel.comp_prod_fun_empty ProbabilityTheory.kernel.compProdFun_empty theorem compProdFun_iUnion (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (f : ℕ → Set (β × γ)) (hf_meas : ∀ i, MeasurableSet (f i)) (hf_disj : Pairwise (Disjoint on f)) : compProdFun κ η a (⋃ i, f i) = ∑' i, compProdFun κ η a (f i) := by have h_Union : (fun b => η (a, b) {c : γ | (b, c) ∈ ⋃ i, f i}) = fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i}) := by ext1 b congr with c simp only [Set.mem_iUnion, Set.iSup_eq_iUnion, Set.mem_setOf_eq] rw [compProdFun, h_Union] have h_tsum : (fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i})) = fun b => ∑' i, η (a, b) {c : γ | (b, c) ∈ f i} := by ext1 b rw [measure_iUnion] · intro i j hij s hsi hsj c hcs have hbci : {(b, c)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hcs have hbcj : {(b, c)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hcs simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff, Set.mem_empty_iff_false] using hf_disj hij hbci hbcj · -- Porting note: behavior of `@` changed relative to lean 3, was -- exact fun i => (@measurable_prod_mk_left β γ _ _ b) _ (hf_meas i) exact fun i => (@measurable_prod_mk_left β γ _ _ b) (hf_meas i) rw [h_tsum, lintegral_tsum] · rfl · intro i have hm : MeasurableSet {p : (α × β) × γ | (p.1.2, p.2) ∈ f i} := measurable_fst.snd.prod_mk measurable_snd (hf_meas i) exact ((measurable_kernel_prod_mk_left hm).comp measurable_prod_mk_left).aemeasurable #align probability_theory.kernel.comp_prod_fun_Union ProbabilityTheory.kernel.compProdFun_iUnion theorem compProdFun_tsum_right (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) : compProdFun κ η a s = ∑' n, compProdFun κ (seq η n) a s := by simp_rw [compProdFun, (measure_sum_seq η _).symm] have : ∫⁻ b, Measure.sum (fun n => seq η n (a, b)) {c : γ | (b, c) ∈ s} ∂κ a = ∫⁻ b, ∑' n, seq η n (a, b) {c : γ | (b, c) ∈ s} ∂κ a := by congr ext1 b rw [Measure.sum_apply] exact measurable_prod_mk_left hs rw [this, lintegral_tsum] exact fun n => ((measurable_kernel_prod_mk_left (κ := (seq η n)) ((measurable_fst.snd.prod_mk measurable_snd) hs)).comp measurable_prod_mk_left).aemeasurable #align probability_theory.kernel.comp_prod_fun_tsum_right ProbabilityTheory.kernel.compProdFun_tsum_right theorem compProdFun_tsum_left (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel κ] (a : α) (s : Set (β × γ)) : compProdFun κ η a s = ∑' n, compProdFun (seq κ n) η a s := by simp_rw [compProdFun, (measure_sum_seq κ _).symm, lintegral_sum_measure] #align probability_theory.kernel.comp_prod_fun_tsum_left ProbabilityTheory.kernel.compProdFun_tsum_left theorem compProdFun_eq_tsum (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) : compProdFun κ η a s = ∑' (n) (m), compProdFun (seq κ n) (seq η m) a s := by simp_rw [compProdFun_tsum_left κ η a s, compProdFun_tsum_right _ η a hs] #align probability_theory.kernel.comp_prod_fun_eq_tsum ProbabilityTheory.kernel.compProdFun_eq_tsum
Mathlib/Probability/Kernel/Composition.lean
158
169
theorem measurable_compProdFun_of_finite (κ : kernel α β) [IsFiniteKernel κ] (η : kernel (α × β) γ) [IsFiniteKernel η] (hs : MeasurableSet s) : Measurable fun a => compProdFun κ η a s := by
simp only [compProdFun] have h_meas : Measurable (Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) := by have : (Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) = fun p => η p {c : γ | (p.2, c) ∈ s} := by ext1 p rw [Function.uncurry_apply_pair] rw [this] exact measurable_kernel_prod_mk_left (measurable_fst.snd.prod_mk measurable_snd hs) exact h_meas.lintegral_kernel_prod_right
import Mathlib.Init.Data.Sigma.Lex import Mathlib.Data.Prod.Lex import Mathlib.Data.Sigma.Lex import Mathlib.Order.Antichain import Mathlib.Order.OrderIsoNat import Mathlib.Order.WellFounded import Mathlib.Tactic.TFAE #align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592" variable {ι α β γ : Type*} {π : ι → Type*} namespace Set def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop := WellFounded fun a b : s => r a b #align set.well_founded_on Set.WellFoundedOn @[simp] theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r := wellFounded_of_isEmpty _ #align set.well_founded_on_empty Set.wellFoundedOn_empty def PartiallyWellOrderedOn (s : Set α) (r : α → α → Prop) : Prop := ∀ f : ℕ → α, (∀ n, f n ∈ s) → ∃ m n : ℕ, m < n ∧ r (f m) (f n) #align set.partially_well_ordered_on Set.PartiallyWellOrderedOn section PartiallyWellOrderedOn variable {r : α → α → Prop} {r' : β → β → Prop} {f : α → β} {s : Set α} {t : Set α} {a : α} theorem PartiallyWellOrderedOn.mono (ht : t.PartiallyWellOrderedOn r) (h : s ⊆ t) : s.PartiallyWellOrderedOn r := fun f hf => ht f fun n => h <| hf n #align set.partially_well_ordered_on.mono Set.PartiallyWellOrderedOn.mono @[simp] theorem partiallyWellOrderedOn_empty (r : α → α → Prop) : PartiallyWellOrderedOn ∅ r := fun _ h => (h 0).elim #align set.partially_well_ordered_on_empty Set.partiallyWellOrderedOn_empty
Mathlib/Order/WellFoundedSet.lean
286
293
theorem PartiallyWellOrderedOn.union (hs : s.PartiallyWellOrderedOn r) (ht : t.PartiallyWellOrderedOn r) : (s ∪ t).PartiallyWellOrderedOn r := by
rintro f hf rcases Nat.exists_subseq_of_forall_mem_union f hf with ⟨g, hgs | hgt⟩ · rcases hs _ hgs with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ · rcases ht _ hgt with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩
import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.inner_product_space.euclidean_dist from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" open scoped Topology open Set variable {E : Type*} [AddCommGroup E] [TopologicalSpace E] [TopologicalAddGroup E] [T2Space E] [Module ℝ E] [ContinuousSMul ℝ E] [FiniteDimensional ℝ E] noncomputable section open FiniteDimensional def toEuclidean : E ≃L[ℝ] EuclideanSpace ℝ (Fin <| finrank ℝ E) := ContinuousLinearEquiv.ofFinrankEq finrank_euclideanSpace_fin.symm #align to_euclidean toEuclidean namespace Euclidean nonrec def dist (x y : E) : ℝ := dist (toEuclidean x) (toEuclidean y) #align euclidean.dist Euclidean.dist def closedBall (x : E) (r : ℝ) : Set E := {y | dist y x ≤ r} #align euclidean.closed_ball Euclidean.closedBall def ball (x : E) (r : ℝ) : Set E := {y | dist y x < r} #align euclidean.ball Euclidean.ball theorem ball_eq_preimage (x : E) (r : ℝ) : ball x r = toEuclidean ⁻¹' Metric.ball (toEuclidean x) r := rfl #align euclidean.ball_eq_preimage Euclidean.ball_eq_preimage theorem closedBall_eq_preimage (x : E) (r : ℝ) : closedBall x r = toEuclidean ⁻¹' Metric.closedBall (toEuclidean x) r := rfl #align euclidean.closed_ball_eq_preimage Euclidean.closedBall_eq_preimage theorem ball_subset_closedBall {x : E} {r : ℝ} : ball x r ⊆ closedBall x r := fun _ (hy : _ < r) => le_of_lt hy #align euclidean.ball_subset_closed_ball Euclidean.ball_subset_closedBall theorem isOpen_ball {x : E} {r : ℝ} : IsOpen (ball x r) := Metric.isOpen_ball.preimage toEuclidean.continuous #align euclidean.is_open_ball Euclidean.isOpen_ball theorem mem_ball_self {x : E} {r : ℝ} (hr : 0 < r) : x ∈ ball x r := Metric.mem_ball_self hr #align euclidean.mem_ball_self Euclidean.mem_ball_self
Mathlib/Analysis/InnerProductSpace/EuclideanDist.lean
82
84
theorem closedBall_eq_image (x : E) (r : ℝ) : closedBall x r = toEuclidean.symm '' Metric.closedBall (toEuclidean x) r := by
rw [toEuclidean.image_symm_eq_preimage, closedBall_eq_preimage]
import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic #align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "J" => o.rightAngleRotation def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V := LinearMap.isometryOfInner (Real.Angle.cos θ • LinearMap.id + Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by intro x y simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply, LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv, Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left, Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left, inner_add_right, inner_smul_right] linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq) #align orientation.rotation_aux Orientation.rotationAux @[simp] theorem rotationAux_apply (θ : Real.Angle) (x : V) : o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_aux_apply Orientation.rotationAux_apply def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V := LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ) (Real.Angle.cos θ • LinearMap.id - Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul, smul_add, smul_neg, smul_sub, mul_comm, sq] abel · simp) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, add_smul, smul_neg, smul_sub, smul_smul] ring_nf abel · simp) #align orientation.rotation Orientation.rotation theorem rotation_apply (θ : Real.Angle) (x : V) : o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_apply Orientation.rotation_apply theorem rotation_symm_apply (θ : Real.Angle) (x : V) : (o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x := rfl #align orientation.rotation_symm_apply Orientation.rotation_symm_apply theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) : (o.rotation θ).toLinearMap = Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx) !![θ.cos, -θ.sin; θ.sin, θ.cos] := by apply (o.basisRightAngleRotation x hx).ext intro i fin_cases i · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ] · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ, add_comm] #align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin @[simp] theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) rw [o.rotation_eq_matrix_toLin θ hx] simpa [sq] using θ.cos_sq_add_sin_sq #align orientation.det_rotation Orientation.det_rotation @[simp] theorem linearEquiv_det_rotation (θ : Real.Angle) : LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 := Units.ext <| by -- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite -- in mathlib3 this was just `units.ext <| o.det_rotation θ` simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ #align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation @[simp] theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg] #align orientation.rotation_symm Orientation.rotation_symm @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean
140
140
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by
ext; simp [rotation]
import Mathlib.Data.ENNReal.Real #align_import data.real.conjugate_exponents from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" noncomputable section open scoped ENNReal namespace Real @[mk_iff] structure IsConjExponent (p q : ℝ) : Prop where one_lt : 1 < p inv_add_inv_conj : p⁻¹ + q⁻¹ = 1 #align real.is_conjugate_exponent Real.IsConjExponent def conjExponent (p : ℝ) : ℝ := p / (p - 1) #align real.conjugate_exponent Real.conjExponent variable {a b p q : ℝ} (h : p.IsConjExponent q) namespace IsConjExponent theorem pos : 0 < p := lt_trans zero_lt_one h.one_lt #align real.is_conjugate_exponent.pos Real.IsConjExponent.pos theorem nonneg : 0 ≤ p := le_of_lt h.pos #align real.is_conjugate_exponent.nonneg Real.IsConjExponent.nonneg theorem ne_zero : p ≠ 0 := ne_of_gt h.pos #align real.is_conjugate_exponent.ne_zero Real.IsConjExponent.ne_zero theorem sub_one_pos : 0 < p - 1 := sub_pos.2 h.one_lt #align real.is_conjugate_exponent.sub_one_pos Real.IsConjExponent.sub_one_pos theorem sub_one_ne_zero : p - 1 ≠ 0 := ne_of_gt h.sub_one_pos #align real.is_conjugate_exponent.sub_one_ne_zero Real.IsConjExponent.sub_one_ne_zero protected lemma inv_pos : 0 < p⁻¹ := inv_pos.2 h.pos protected lemma inv_nonneg : 0 ≤ p⁻¹ := h.inv_pos.le protected lemma inv_ne_zero : p⁻¹ ≠ 0 := h.inv_pos.ne' theorem one_div_pos : 0 < 1 / p := _root_.one_div_pos.2 h.pos #align real.is_conjugate_exponent.one_div_pos Real.IsConjExponent.one_div_pos theorem one_div_nonneg : 0 ≤ 1 / p := le_of_lt h.one_div_pos #align real.is_conjugate_exponent.one_div_nonneg Real.IsConjExponent.one_div_nonneg theorem one_div_ne_zero : 1 / p ≠ 0 := ne_of_gt h.one_div_pos #align real.is_conjugate_exponent.one_div_ne_zero Real.IsConjExponent.one_div_ne_zero
Mathlib/Data/Real/ConjExponents.lean
85
88
theorem conj_eq : q = p / (p - 1) := by
have := h.inv_add_inv_conj rw [← eq_sub_iff_add_eq', inv_eq_iff_eq_inv] at this field_simp [this, h.ne_zero]
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2))
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
36
42
theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
import Mathlib.Order.Filter.Basic import Mathlib.Data.Set.Countable #align_import order.filter.countable_Inter from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a" open Set Filter open Filter variable {ι : Sort*} {α β : Type*} class CountableInterFilter (l : Filter α) : Prop where countable_sInter_mem : ∀ S : Set (Set α), S.Countable → (∀ s ∈ S, s ∈ l) → ⋂₀ S ∈ l #align countable_Inter_filter CountableInterFilter variable {l : Filter α} [CountableInterFilter l] theorem countable_sInter_mem {S : Set (Set α)} (hSc : S.Countable) : ⋂₀ S ∈ l ↔ ∀ s ∈ S, s ∈ l := ⟨fun hS _s hs => mem_of_superset hS (sInter_subset_of_mem hs), CountableInterFilter.countable_sInter_mem _ hSc⟩ #align countable_sInter_mem countable_sInter_mem theorem countable_iInter_mem [Countable ι] {s : ι → Set α} : (⋂ i, s i) ∈ l ↔ ∀ i, s i ∈ l := sInter_range s ▸ (countable_sInter_mem (countable_range _)).trans forall_mem_range #align countable_Inter_mem countable_iInter_mem theorem countable_bInter_mem {ι : Type*} {S : Set ι} (hS : S.Countable) {s : ∀ i ∈ S, Set α} : (⋂ i, ⋂ hi : i ∈ S, s i ‹_›) ∈ l ↔ ∀ i, ∀ hi : i ∈ S, s i ‹_› ∈ l := by rw [biInter_eq_iInter] haveI := hS.toEncodable exact countable_iInter_mem.trans Subtype.forall #align countable_bInter_mem countable_bInter_mem theorem eventually_countable_forall [Countable ι] {p : α → ι → Prop} : (∀ᶠ x in l, ∀ i, p x i) ↔ ∀ i, ∀ᶠ x in l, p x i := by simpa only [Filter.Eventually, setOf_forall] using @countable_iInter_mem _ _ l _ _ fun i => { x | p x i } #align eventually_countable_forall eventually_countable_forall theorem eventually_countable_ball {ι : Type*} {S : Set ι} (hS : S.Countable) {p : α → ∀ i ∈ S, Prop} : (∀ᶠ x in l, ∀ i hi, p x i hi) ↔ ∀ i hi, ∀ᶠ x in l, p x i hi := by simpa only [Filter.Eventually, setOf_forall] using @countable_bInter_mem _ l _ _ _ hS fun i hi => { x | p x i hi } #align eventually_countable_ball eventually_countable_ball theorem EventuallyLE.countable_iUnion [Countable ι] {s t : ι → Set α} (h : ∀ i, s i ≤ᶠ[l] t i) : ⋃ i, s i ≤ᶠ[l] ⋃ i, t i := (eventually_countable_forall.2 h).mono fun _ hst hs => mem_iUnion.2 <| (mem_iUnion.1 hs).imp hst #align eventually_le.countable_Union EventuallyLE.countable_iUnion theorem EventuallyEq.countable_iUnion [Countable ι] {s t : ι → Set α} (h : ∀ i, s i =ᶠ[l] t i) : ⋃ i, s i =ᶠ[l] ⋃ i, t i := (EventuallyLE.countable_iUnion fun i => (h i).le).antisymm (EventuallyLE.countable_iUnion fun i => (h i).symm.le) #align eventually_eq.countable_Union EventuallyEq.countable_iUnion
Mathlib/Order/Filter/CountableInter.lean
89
94
theorem EventuallyLE.countable_bUnion {ι : Type*} {S : Set ι} (hS : S.Countable) {s t : ∀ i ∈ S, Set α} (h : ∀ i hi, s i hi ≤ᶠ[l] t i hi) : ⋃ i ∈ S, s i ‹_› ≤ᶠ[l] ⋃ i ∈ S, t i ‹_› := by
simp only [biUnion_eq_iUnion] haveI := hS.toEncodable exact EventuallyLE.countable_iUnion fun i => h i i.2
import Mathlib.CategoryTheory.Preadditive.Basic #align_import category_theory.preadditive.functor_category from "leanprover-community/mathlib"@"829895f162a1f29d0133f4b3538f4cd1fb5bffd3" namespace CategoryTheory open CategoryTheory.Limits Preadditive variable {C D : Type*} [Category C] [Category D] [Preadditive D] instance {F G : C ⥤ D} : Zero (F ⟶ G) where zero := { app := fun X => 0 } instance {F G : C ⥤ D} : Add (F ⟶ G) where add α β := { app := fun X => α.app X + β.app X } instance {F G : C ⥤ D} : Neg (F ⟶ G) where neg α := { app := fun X => -α.app X } instance functorCategoryPreadditive : Preadditive (C ⥤ D) where homGroup F G := { nsmul := nsmulRec zsmul := zsmulRec sub := fun α β => { app := fun X => α.app X - β.app X } add_assoc := by intros ext apply add_assoc zero_add := by intros dsimp ext apply zero_add add_zero := by intros dsimp ext apply add_zero add_comm := by intros dsimp ext apply add_comm sub_eq_add_neg := by intros dsimp ext apply sub_eq_add_neg add_left_neg := by intros dsimp ext apply add_left_neg } add_comp := by intros dsimp ext apply add_comp comp_add := by intros dsimp ext apply comp_add #align category_theory.functor_category_preadditive CategoryTheory.functorCategoryPreadditive namespace NatTrans variable {F G : C ⥤ D} @[simps] def appHom (X : C) : (F ⟶ G) →+ (F.obj X ⟶ G.obj X) where toFun α := α.app X map_zero' := rfl map_add' _ _ := rfl #align category_theory.nat_trans.app_hom CategoryTheory.NatTrans.appHom @[simp] theorem app_zero (X : C) : (0 : F ⟶ G).app X = 0 := rfl #align category_theory.nat_trans.app_zero CategoryTheory.NatTrans.app_zero @[simp] theorem app_add (X : C) (α β : F ⟶ G) : (α + β).app X = α.app X + β.app X := rfl #align category_theory.nat_trans.app_add CategoryTheory.NatTrans.app_add @[simp] theorem app_sub (X : C) (α β : F ⟶ G) : (α - β).app X = α.app X - β.app X := rfl #align category_theory.nat_trans.app_sub CategoryTheory.NatTrans.app_sub @[simp] theorem app_neg (X : C) (α : F ⟶ G) : (-α).app X = -α.app X := rfl #align category_theory.nat_trans.app_neg CategoryTheory.NatTrans.app_neg @[simp] theorem app_nsmul (X : C) (α : F ⟶ G) (n : ℕ) : (n • α).app X = n • α.app X := (appHom X).map_nsmul α n #align category_theory.nat_trans.app_nsmul CategoryTheory.NatTrans.app_nsmul @[simp] theorem app_zsmul (X : C) (α : F ⟶ G) (n : ℤ) : (n • α).app X = n • α.app X := (appHom X : (F ⟶ G) →+ (F.obj X ⟶ G.obj X)).map_zsmul α n #align category_theory.nat_trans.app_zsmul CategoryTheory.NatTrans.app_zsmul @[simp]
Mathlib/CategoryTheory/Preadditive/FunctorCategory.lean
123
124
theorem app_units_zsmul (X : C) (α : F ⟶ G) (n : ℤˣ) : (n • α).app X = n • α.app X := by
apply app_zsmul
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 _)]
import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.SetTheory.Cardinal.Cofinality #align_import linear_algebra.basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" noncomputable section universe u open Function Set Submodule variable {ι : Type*} {ι' : Type*} {R : Type*} {R₂ : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable [Semiring R] variable [AddCommMonoid M] [Module R M] [AddCommMonoid M'] [Module R M'] section variable (ι R M) structure Basis where ofRepr :: repr : M ≃ₗ[R] ι →₀ R #align basis Basis #align basis.repr Basis.repr #align basis.of_repr Basis.ofRepr end instance uniqueBasis [Subsingleton R] : Unique (Basis ι R M) := ⟨⟨⟨default⟩⟩, fun ⟨b⟩ => by rw [Subsingleton.elim b]⟩ #align unique_basis uniqueBasis namespace Basis instance : Inhabited (Basis ι R (ι →₀ R)) := ⟨.ofRepr (LinearEquiv.refl _ _)⟩ variable (b b₁ : Basis ι R M) (i : ι) (c : R) (x : M) section repr theorem repr_injective : Injective (repr : Basis ι R M → M ≃ₗ[R] ι →₀ R) := fun f g h => by cases f; cases g; congr #align basis.repr_injective Basis.repr_injective instance instFunLike : FunLike (Basis ι R M) ι M where coe b i := b.repr.symm (Finsupp.single i 1) coe_injective' f g h := repr_injective <| LinearEquiv.symm_bijective.injective <| LinearEquiv.toLinearMap_injective <| by ext; exact congr_fun h _ #align basis.fun_like Basis.instFunLike @[simp] theorem coe_ofRepr (e : M ≃ₗ[R] ι →₀ R) : ⇑(ofRepr e) = fun i => e.symm (Finsupp.single i 1) := rfl #align basis.coe_of_repr Basis.coe_ofRepr protected theorem injective [Nontrivial R] : Injective b := b.repr.symm.injective.comp fun _ _ => (Finsupp.single_left_inj (one_ne_zero : (1 : R) ≠ 0)).mp #align basis.injective Basis.injective theorem repr_symm_single_one : b.repr.symm (Finsupp.single i 1) = b i := rfl #align basis.repr_symm_single_one Basis.repr_symm_single_one theorem repr_symm_single : b.repr.symm (Finsupp.single i c) = c • b i := calc b.repr.symm (Finsupp.single i c) = b.repr.symm (c • Finsupp.single i (1 : R)) := by { rw [Finsupp.smul_single', mul_one] } _ = c • b i := by rw [LinearEquiv.map_smul, repr_symm_single_one] #align basis.repr_symm_single Basis.repr_symm_single @[simp] theorem repr_self : b.repr (b i) = Finsupp.single i 1 := LinearEquiv.apply_symm_apply _ _ #align basis.repr_self Basis.repr_self theorem repr_self_apply (j) [Decidable (i = j)] : b.repr (b i) j = if i = j then 1 else 0 := by rw [repr_self, Finsupp.single_apply] #align basis.repr_self_apply Basis.repr_self_apply @[simp]
Mathlib/LinearAlgebra/Basis.lean
154
158
theorem repr_symm_apply (v) : b.repr.symm v = Finsupp.total ι M R b v := calc b.repr.symm v = b.repr.symm (v.sum Finsupp.single) := by
simp _ = v.sum fun i vi => b.repr.symm (Finsupp.single i vi) := map_finsupp_sum .. _ = Finsupp.total ι M R b v := by simp only [repr_symm_single, Finsupp.total_apply]
import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100]
Mathlib/Data/Finset/Image.lean
81
86
theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by
rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩
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 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]) #align convex_independent.comp_embedding ConvexIndependent.comp_embedding protected theorem ConvexIndependent.subtype {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) : ConvexIndependent 𝕜 fun i : s => p i := hc.comp_embedding (Embedding.subtype _) #align convex_independent.subtype ConvexIndependent.subtype protected theorem ConvexIndependent.range {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) := by let f : Set.range p → ι := fun x => x.property.choose have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩ convert hc.comp_embedding fe ext rw [Embedding.coeFn_mk, comp_apply, hf] #align convex_independent.range ConvexIndependent.range protected theorem ConvexIndependent.mono {s t : Set E} (hc : ConvexIndependent 𝕜 ((↑) : t → E)) (hs : s ⊆ t) : ConvexIndependent 𝕜 ((↑) : s → E) := hc.comp_embedding (s.embeddingOfSubset t hs) #align convex_independent.mono ConvexIndependent.mono theorem Function.Injective.convexIndependent_iff_set {p : ι → E} (hi : Function.Injective p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) ↔ ConvexIndependent 𝕜 p := ⟨fun hc => hc.comp_embedding (⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ : ι ↪ Set.range p), ConvexIndependent.range⟩ #align function.injective.convex_independent_iff_set Function.Injective.convexIndependent_iff_set @[simp] protected theorem ConvexIndependent.mem_convexHull_iff {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) (i : ι) : p i ∈ convexHull 𝕜 (p '' s) ↔ i ∈ s := ⟨hc _ _, fun hi => subset_convexHull 𝕜 _ (Set.mem_image_of_mem p hi)⟩ #align convex_independent.mem_convex_hull_iff ConvexIndependent.mem_convexHull_iff theorem convexIndependent_iff_not_mem_convexHull_diff {p : ι → E} : ConvexIndependent 𝕜 p ↔ ∀ i s, p i ∉ convexHull 𝕜 (p '' (s \ {i})) := by refine ⟨fun hc i s h => ?_, fun h s i hi => ?_⟩ · rw [hc.mem_convexHull_iff] at h exact h.2 (Set.mem_singleton _) · by_contra H refine h i s ?_ rw [Set.diff_singleton_eq_self H] exact hi #align convex_independent_iff_not_mem_convex_hull_diff convexIndependent_iff_not_mem_convexHull_diff
Mathlib/Analysis/Convex/Independent.lean
144
153
theorem convexIndependent_set_iff_inter_convexHull_subset {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ t, t ⊆ s → s ∩ convexHull 𝕜 t ⊆ t := by
constructor · rintro hc t h x ⟨hxs, hxt⟩ refine hc { x | ↑x ∈ t } ⟨x, hxs⟩ ?_ rw [Subtype.coe_image_of_subset h] exact hxt · intro hc t x h rw [← Subtype.coe_injective.mem_set_image] exact hc (t.image ((↑) : s → E)) (Subtype.coe_image_subset s t) ⟨x.prop, h⟩
import Mathlib.RingTheory.Ideal.Cotangent import Mathlib.RingTheory.QuotientNilpotent import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.RingTheory.FinitePresentation import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Localization.Away.AdjoinRoot #align_import ring_theory.etale from "leanprover-community/mathlib"@"73f96237417835f148a1f7bc1ff55f67119b7166" -- Porting note: added to make the syntax work below. open scoped TensorProduct universe u namespace Algebra section variable (R : Type u) [CommSemiring R] variable (A : Type u) [Semiring A] [Algebra R A] @[mk_iff] class FormallySmooth : Prop where comp_surjective : ∀ ⦃B : Type u⦄ [CommRing B], ∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥), Function.Surjective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I) #align algebra.formally_smooth Algebra.FormallySmooth end namespace FormallySmooth section variable {R : Type u} [CommSemiring R] variable {A : Type u} [Semiring A] [Algebra R A] variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B)
Mathlib/RingTheory/Smooth/Basic.lean
68
88
theorem exists_lift {B : Type u} [CommRing B] [_RB : Algebra R B] [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I) (g : A →ₐ[R] B ⧸ I) : ∃ f : A →ₐ[R] B, (Ideal.Quotient.mkₐ R I).comp f = g := by
revert g change Function.Surjective (Ideal.Quotient.mkₐ R I).comp revert _RB apply Ideal.IsNilpotent.induction_on (R := B) I hI · intro B _ I hI _; exact FormallySmooth.comp_surjective I hI · intro B _ I J hIJ h₁ h₂ _ g let this : ((B ⧸ I) ⧸ J.map (Ideal.Quotient.mk I)) ≃ₐ[R] B ⧸ J := { (DoubleQuot.quotQuotEquivQuotSup I J).trans (Ideal.quotEquivOfEq (sup_eq_right.mpr hIJ)) with commutes' := fun x => rfl } obtain ⟨g', e⟩ := h₂ (this.symm.toAlgHom.comp g) obtain ⟨g', rfl⟩ := h₁ g' replace e := congr_arg this.toAlgHom.comp e conv_rhs at e => rw [← AlgHom.comp_assoc, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.comp_symm, AlgHom.id_comp] exact ⟨g', e⟩
import Mathlib.Analysis.BoxIntegral.DivergenceTheorem import Mathlib.Analysis.BoxIntegral.Integrability import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Analysis.Calculus.FDeriv.Equiv #align_import measure_theory.integral.divergence_theorem from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Set Finset TopologicalSpace Function BoxIntegral MeasureTheory Filter open scoped Classical Topology Interval universe u namespace MeasureTheory variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] section variable {n : ℕ} local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local notation "e " i => Pi.single i 1 section
Mathlib/MeasureTheory/Integral/DivergenceTheorem.lean
111
137
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (I : Box (Fin (n + 1))) (f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I)) (Hd : ∀ x ∈ (Box.Icc I) \ s, HasFDerivWithinAt f (f' x) (Box.Icc I) x) (Hi : IntegrableOn (fun x => ∑ i, f' x (e i) i) (Box.Icc I)) : (∫ x in Box.Icc I, ∑ i, f' x (e i) i) = ∑ i : Fin (n + 1), ((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) - ∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by
simp only [← setIntegral_congr_set_ae (Box.coe_ae_eq_Icc _)] have A := (Hi.mono_set Box.coe_subset_Icc).hasBoxIntegral ⊥ rfl have B := hasIntegral_GP_divergence_of_forall_hasDerivWithinAt I f f' (s ∩ Box.Icc I) (hs.mono inter_subset_left) (fun x hx => Hc _ hx.2) fun x hx => Hd _ ⟨hx.1, fun h => hx.2 ⟨h, hx.1⟩⟩ rw [continuousOn_pi] at Hc refine (A.unique B).trans (sum_congr rfl fun i _ => ?_) refine congr_arg₂ Sub.sub ?_ ?_ · have := Box.continuousOn_face_Icc (Hc i) (Set.right_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq · have := Box.continuousOn_face_Icc (Hc i) (Set.left_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Hom.Defs #align_import algebra.hom.group from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64" -- `NeZero` cannot be additivised, hence its theory should be developed outside of the -- `Algebra.Group` folder. assert_not_exists NeZero variable {α β M N P : Type*} -- monoids variable {G : Type*} {H : Type*} -- groups variable {F : Type*} namespace MonoidHom section InvDiv variable [MulOneClass M] [MulOneClass N] [CommGroup G] [CommGroup H] @[to_additive "If `f` is an additive monoid homomorphism to an additive commutative group, then `-f` is the homomorphism sending `x` to `-(f x)`."] instance : Inv (M →* G) where inv f := mk' (fun g ↦ (f g)⁻¹) fun a b ↦ by simp_rw [← mul_inv, f.map_mul] @[to_additive (attr := simp)] lemma inv_apply (f : M →* G) (x : M) : f⁻¹ x = (f x)⁻¹ := rfl #align monoid_hom.inv_apply MonoidHom.inv_apply #align add_monoid_hom.neg_apply AddMonoidHom.neg_apply @[to_additive (attr := simp)] theorem inv_comp (φ : N →* G) (ψ : M →* N) : φ⁻¹.comp ψ = (φ.comp ψ)⁻¹ := rfl #align monoid_hom.inv_comp MonoidHom.inv_comp #align add_monoid_hom.neg_comp AddMonoidHom.neg_comp @[to_additive (attr := simp)]
Mathlib/Algebra/Group/Hom/Basic.lean
252
254
theorem comp_inv (φ : G →* H) (ψ : M →* G) : φ.comp ψ⁻¹ = (φ.comp ψ)⁻¹ := by
ext simp only [Function.comp_apply, inv_apply, map_inv, coe_comp]
import Mathlib.Analysis.SpecialFunctions.Pow.Complex import Qq #align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" noncomputable section open scoped Classical open Real ComplexConjugate open Finset Set namespace Real variable {x y z : ℝ} noncomputable def rpow (x y : ℝ) := ((x : ℂ) ^ (y : ℂ)).re #align real.rpow Real.rpow noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩ @[simp] theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl #align real.rpow_eq_pow Real.rpow_eq_pow theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl #align real.rpow_def Real.rpow_def theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by simp only [rpow_def, Complex.cpow_def]; split_ifs <;> simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul, (Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero] #align real.rpow_def_of_nonneg Real.rpow_def_of_nonneg theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)] #align real.rpow_def_of_pos Real.rpow_def_of_pos theorem exp_mul (x y : ℝ) : exp (x * y) = exp x ^ y := by rw [rpow_def_of_pos (exp_pos _), log_exp] #align real.exp_mul Real.exp_mul @[simp, norm_cast] theorem rpow_intCast (x : ℝ) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by simp only [rpow_def, ← Complex.ofReal_zpow, Complex.cpow_intCast, Complex.ofReal_intCast, Complex.ofReal_re] #align real.rpow_int_cast Real.rpow_intCast @[deprecated (since := "2024-04-17")] alias rpow_int_cast := rpow_intCast @[simp, norm_cast] theorem rpow_natCast (x : ℝ) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by simpa using rpow_intCast x n #align real.rpow_nat_cast Real.rpow_natCast @[deprecated (since := "2024-04-17")] alias rpow_nat_cast := rpow_natCast @[simp] theorem exp_one_rpow (x : ℝ) : exp 1 ^ x = exp x := by rw [← exp_mul, one_mul] #align real.exp_one_rpow Real.exp_one_rpow @[simp] lemma exp_one_pow (n : ℕ) : exp 1 ^ n = exp n := by rw [← rpow_natCast, exp_one_rpow] theorem rpow_eq_zero_iff_of_nonneg (hx : 0 ≤ x) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by simp only [rpow_def_of_nonneg hx] split_ifs <;> simp [*, exp_ne_zero] #align real.rpow_eq_zero_iff_of_nonneg Real.rpow_eq_zero_iff_of_nonneg @[simp] lemma rpow_eq_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by simp [rpow_eq_zero_iff_of_nonneg, *] @[simp] lemma rpow_ne_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y ≠ 0 ↔ x ≠ 0 := Real.rpow_eq_zero hx hy |>.not open Real theorem rpow_def_of_neg {x : ℝ} (hx : x < 0) (y : ℝ) : x ^ y = exp (log x * y) * cos (y * π) := by rw [rpow_def, Complex.cpow_def, if_neg] · have : Complex.log x * y = ↑(log (-x) * y) + ↑(y * π) * Complex.I := by simp only [Complex.log, abs_of_neg hx, Complex.arg_ofReal_of_neg hx, Complex.abs_ofReal, Complex.ofReal_mul] ring rw [this, Complex.exp_add_mul_I, ← Complex.ofReal_exp, ← Complex.ofReal_cos, ← Complex.ofReal_sin, mul_add, ← Complex.ofReal_mul, ← mul_assoc, ← Complex.ofReal_mul, Complex.add_re, Complex.ofReal_re, Complex.mul_re, Complex.I_re, Complex.ofReal_im, Real.log_neg_eq_log] ring · rw [Complex.ofReal_eq_zero] exact ne_of_lt hx #align real.rpow_def_of_neg Real.rpow_def_of_neg theorem rpow_def_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) * cos (y * π) := by split_ifs with h <;> simp [rpow_def, *]; exact rpow_def_of_neg (lt_of_le_of_ne hx h) _ #align real.rpow_def_of_nonpos Real.rpow_def_of_nonpos theorem rpow_pos_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : 0 < x ^ y := by rw [rpow_def_of_pos hx]; apply exp_pos #align real.rpow_pos_of_pos Real.rpow_pos_of_pos @[simp] theorem rpow_zero (x : ℝ) : x ^ (0 : ℝ) = 1 := by simp [rpow_def] #align real.rpow_zero Real.rpow_zero
Mathlib/Analysis/SpecialFunctions/Pow/Real.lean
128
128
theorem rpow_zero_pos (x : ℝ) : 0 < x ^ (0 : ℝ) := by
simp
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section Real variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by lift a to ℝ≥0 using ha lift b to ℝ≥0 using hb rfl #align ennreal.to_real_add ENNReal.toReal_add
Mathlib/Data/ENNReal/Real.lean
43
47
theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) : (a - b).toReal = a.toReal - b.toReal := by
lift b to ℝ≥0 using ne_top_of_le_ne_top ha h lift a to ℝ≥0 using ha simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Comp import Mathlib.Analysis.Calculus.FDeriv.RestrictScalars #align_import analysis.calculus.deriv.comp from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {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} section CompositionVector open ContinuousLinearMap variable {l : F → E} {l' : F →L[𝕜] E} {y : F} variable (x) theorem HasFDerivWithinAt.comp_hasDerivWithinAt {t : Set F} (hl : HasFDerivWithinAt l l' t (f x)) (hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) : HasDerivWithinAt (l ∘ f) (l' f') s x := by simpa only [one_apply, one_smul, smulRight_apply, coe_comp', (· ∘ ·)] using (hl.comp x hf.hasFDerivWithinAt hst).hasDerivWithinAt #align has_fderiv_within_at.comp_has_deriv_within_at HasFDerivWithinAt.comp_hasDerivWithinAt theorem HasFDerivWithinAt.comp_hasDerivWithinAt_of_eq {t : Set F} (hl : HasFDerivWithinAt l l' t y) (hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) (hy : y = f x) : HasDerivWithinAt (l ∘ f) (l' f') s x := by rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf hst theorem HasFDerivAt.comp_hasDerivWithinAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivWithinAt f f' s x) : HasDerivWithinAt (l ∘ f) (l' f') s x := hl.hasFDerivWithinAt.comp_hasDerivWithinAt x hf (mapsTo_univ _ _) #align has_fderiv_at.comp_has_deriv_within_at HasFDerivAt.comp_hasDerivWithinAt theorem HasFDerivAt.comp_hasDerivWithinAt_of_eq (hl : HasFDerivAt l l' y) (hf : HasDerivWithinAt f f' s x) (hy : y = f x) : HasDerivWithinAt (l ∘ f) (l' f') s x := by rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf theorem HasFDerivAt.comp_hasDerivAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivAt f f' x) : HasDerivAt (l ∘ f) (l' f') x := hasDerivWithinAt_univ.mp <| hl.comp_hasDerivWithinAt x hf.hasDerivWithinAt #align has_fderiv_at.comp_has_deriv_at HasFDerivAt.comp_hasDerivAt
Mathlib/Analysis/Calculus/Deriv/Comp.lean
382
385
theorem HasFDerivAt.comp_hasDerivAt_of_eq (hl : HasFDerivAt l l' y) (hf : HasDerivAt f f' x) (hy : y = f x) : HasDerivAt (l ∘ f) (l' f') x := by
rw [hy] at hl; exact hl.comp_hasDerivAt x hf
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Data.Set.Pointwise.Iterate import Mathlib.Dynamics.Ergodic.Ergodic import Mathlib.MeasureTheory.Covering.DensityTheorem import Mathlib.MeasureTheory.Group.AddCircle import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import dynamics.ergodic.add_circle from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" open Set Function MeasureTheory MeasureTheory.Measure Filter Metric open scoped MeasureTheory NNReal ENNReal Topology Pointwise namespace AddCircle variable {T : ℝ} [hT : Fact (0 < T)]
Mathlib/Dynamics/Ergodic/AddCircle.lean
45
101
theorem ae_empty_or_univ_of_forall_vadd_ae_eq_self {s : Set <| AddCircle T} (hs : NullMeasurableSet s volume) {ι : Type*} {l : Filter ι} [l.NeBot] {u : ι → AddCircle T} (hu₁ : ∀ i, (u i +ᵥ s : Set _) =ᵐ[volume] s) (hu₂ : Tendsto (addOrderOf ∘ u) l atTop) : s =ᵐ[volume] (∅ : Set <| AddCircle T) ∨ s =ᵐ[volume] univ := by
/- Sketch of proof: Assume `T = 1` for simplicity and let `μ` be the Haar measure. We may assume `s` has positive measure since otherwise there is nothing to prove. In this case, by Lebesgue's density theorem, there exists a point `d` of positive density. Let `Iⱼ` be the sequence of closed balls about `d` of diameter `1 / nⱼ` where `nⱼ` is the additive order of `uⱼ`. Since `d` has positive density we must have `μ (s ∩ Iⱼ) / μ Iⱼ → 1` along `l`. However since `s` is invariant under the action of `uⱼ` and since `Iⱼ` is a fundamental domain for this action, we must have `μ (s ∩ Iⱼ) = nⱼ * μ s = (μ Iⱼ) * μ s`. We thus have `μ s → 1` and thus `μ s = 1`. -/ set μ := (volume : Measure <| AddCircle T) set n : ι → ℕ := addOrderOf ∘ u have hT₀ : 0 < T := hT.out have hT₁ : ENNReal.ofReal T ≠ 0 := by simpa rw [ae_eq_empty, ae_eq_univ_iff_measure_eq hs, AddCircle.measure_univ] rcases eq_or_ne (μ s) 0 with h | h; · exact Or.inl h right obtain ⟨d, -, hd⟩ : ∃ d, d ∈ s ∧ ∀ {ι'} {l : Filter ι'} (w : ι' → AddCircle T) (δ : ι' → ℝ), Tendsto δ l (𝓝[>] 0) → (∀ᶠ j in l, d ∈ closedBall (w j) (1 * δ j)) → Tendsto (fun j => μ (s ∩ closedBall (w j) (δ j)) / μ (closedBall (w j) (δ j))) l (𝓝 1) := exists_mem_of_measure_ne_zero_of_ae h (IsUnifLocDoublingMeasure.ae_tendsto_measure_inter_div μ s 1) let I : ι → Set (AddCircle T) := fun j => closedBall d (T / (2 * ↑(n j))) replace hd : Tendsto (fun j => μ (s ∩ I j) / μ (I j)) l (𝓝 1) := by let δ : ι → ℝ := fun j => T / (2 * ↑(n j)) have hδ₀ : ∀ᶠ j in l, 0 < δ j := (hu₂.eventually_gt_atTop 0).mono fun j hj => div_pos hT₀ <| by positivity have hδ₁ : Tendsto δ l (𝓝[>] 0) := by refine tendsto_nhdsWithin_iff.mpr ⟨?_, hδ₀⟩ replace hu₂ : Tendsto (fun j => T⁻¹ * 2 * n j) l atTop := (tendsto_natCast_atTop_iff.mpr hu₂).const_mul_atTop (by positivity : 0 < T⁻¹ * 2) convert hu₂.inv_tendsto_atTop ext j simp only [δ, Pi.inv_apply, mul_inv_rev, inv_inv, div_eq_inv_mul, ← mul_assoc] have hw : ∀ᶠ j in l, d ∈ closedBall d (1 * δ j) := hδ₀.mono fun j hj => by simp only [comp_apply, one_mul, mem_closedBall, dist_self] apply hj.le exact hd _ δ hδ₁ hw suffices ∀ᶠ j in l, μ (s ∩ I j) / μ (I j) = μ s / ENNReal.ofReal T by replace hd := hd.congr' this rwa [tendsto_const_nhds_iff, ENNReal.div_eq_one_iff hT₁ ENNReal.ofReal_ne_top] at hd refine (hu₂.eventually_gt_atTop 0).mono fun j hj => ?_ have : addOrderOf (u j) = n j := rfl have huj : IsOfFinAddOrder (u j) := addOrderOf_pos_iff.mp hj have huj' : 1 ≤ (↑(n j) : ℝ) := by norm_cast have hI₀ : μ (I j) ≠ 0 := (measure_closedBall_pos _ d <| by positivity).ne.symm have hI₁ : μ (I j) ≠ ⊤ := measure_ne_top _ _ have hI₂ : μ (I j) * ↑(n j) = ENNReal.ofReal T := by rw [volume_closedBall, mul_div, mul_div_mul_left T _ two_ne_zero, min_eq_right (div_le_self hT₀.le huj'), mul_comm, ← nsmul_eq_mul, ← ENNReal.ofReal_nsmul, nsmul_eq_mul, mul_div_cancel₀] exact Nat.cast_ne_zero.mpr hj.ne' rw [ENNReal.div_eq_div_iff hT₁ ENNReal.ofReal_ne_top hI₀ hI₁, volume_of_add_preimage_eq s _ (u j) d huj (hu₁ j) closedBall_ae_eq_ball, nsmul_eq_mul, ← mul_assoc, this, hI₂]
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd" namespace Polynomial open Polynomial Finsupp Finset open Polynomial section Semiring variable {R : Type*} [Semiring R] {f : R[X]} def revAtFun (N i : ℕ) : ℕ := ite (i ≤ N) (N - i) i #align polynomial.rev_at_fun Polynomial.revAtFun theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by unfold revAtFun split_ifs with h j · exact tsub_tsub_cancel_of_le h · exfalso apply j exact Nat.sub_le N i · rfl #align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by intro a b hab rw [← @revAtFun_invol N a, hab, revAtFun_invol] #align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj def revAt (N : ℕ) : Function.Embedding ℕ ℕ where toFun i := ite (i ≤ N) (N - i) i inj' := revAtFun_inj #align polynomial.rev_at Polynomial.revAt @[simp] theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i := rfl #align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq @[simp] theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i := revAtFun_invol #align polynomial.rev_at_invol Polynomial.revAt_invol @[simp] theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i := if_pos H #align polynomial.rev_at_le Polynomial.revAt_le lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h] theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) : revAt (N + O) (n + o) = revAt N n + revAt O o := by rcases Nat.le.dest hn with ⟨n', rfl⟩ rcases Nat.le.dest ho with ⟨o', rfl⟩ repeat' rw [revAt_le (le_add_right rfl.le)] rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)] repeat' rw [add_tsub_cancel_left] #align polynomial.rev_at_add Polynomial.revAt_add -- @[simp] -- Porting note (#10618): simp can prove this theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp #align polynomial.rev_at_zero Polynomial.revAt_zero noncomputable def reflect (N : ℕ) : R[X] → R[X] | ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩ #align polynomial.reflect Polynomial.reflect theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image] #align polynomial.reflect_support Polynomial.reflect_support @[simp] theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by rcases f with ⟨f⟩ simp only [reflect, coeff] calc Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by rw [revAt_invol] _ = f (revAt N i) := Finsupp.embDomain_apply _ _ _ #align polynomial.coeff_reflect Polynomial.coeff_reflect @[simp] theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 := rfl #align polynomial.reflect_zero Polynomial.reflect_zero @[simp] theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero] #align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff @[simp] theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by ext simp only [coeff_add, coeff_reflect] #align polynomial.reflect_add Polynomial.reflect_add @[simp]
Mathlib/Algebra/Polynomial/Reverse.lean
139
141
theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by
ext simp only [coeff_reflect, coeff_C_mul]
import Mathlib.Algebra.Group.Defs import Mathlib.Algebra.Group.Prod import Mathlib.Data.PNat.Basic import Mathlib.GroupTheory.GroupAction.Prod variable {M : Type*} class PNatPowAssoc (M : Type*) [Mul M] [Pow M ℕ+] : Prop where protected ppow_add : ∀ (k n : ℕ+) (x : M), x ^ (k + n) = x ^ k * x ^ n protected ppow_one : ∀ (x : M), x ^ (1 : ℕ+) = x section Mul variable [Mul M] [Pow M ℕ+] [PNatPowAssoc M] theorem ppow_add (k n : ℕ+) (x : M) : x ^ (k + n) = x ^ k * x ^ n := PNatPowAssoc.ppow_add k n x @[simp] theorem ppow_one (x : M) : x ^ (1 : ℕ+) = x := PNatPowAssoc.ppow_one x theorem ppow_mul_assoc (k m n : ℕ+) (x : M) : (x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by simp only [← ppow_add, add_assoc]
Mathlib/Algebra/Group/PNatPowAssoc.lean
64
65
theorem ppow_mul_comm (m n : ℕ+) (x : M) : x ^ m * x ^ n = x ^ n * x ^ m := by
simp only [← ppow_add, add_comm]
import Mathlib.Algebra.Module.Submodule.Map #align_import linear_algebra.basic from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" open Function open Pointwise variable {R : Type*} {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} variable {K : Type*} variable {M : Type*} {M₁ : Type*} {M₂ : Type*} {M₃ : Type*} variable {V : Type*} {V₂ : Type*} namespace LinearMap section AddCommMonoid variable [Semiring R] [Semiring R₂] [Semiring R₃] variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] variable {σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃} variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] variable [Module R M] [Module R₂ M₂] [Module R₃ M₃] open Submodule variable {σ₂₁ : R₂ →+* R} {τ₁₂ : R →+* R₂} {τ₂₃ : R₂ →+* R₃} {τ₁₃ : R →+* R₃} variable [RingHomCompTriple τ₁₂ τ₂₃ τ₁₃] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂] def ker (f : F) : Submodule R M := comap f ⊥ #align linear_map.ker LinearMap.ker @[simp] theorem mem_ker {f : F} {y} : y ∈ ker f ↔ f y = 0 := mem_bot R₂ #align linear_map.mem_ker LinearMap.mem_ker @[simp] theorem ker_id : ker (LinearMap.id : M →ₗ[R] M) = ⊥ := rfl #align linear_map.ker_id LinearMap.ker_id @[simp] theorem map_coe_ker (f : F) (x : ker f) : f x = 0 := mem_ker.1 x.2 #align linear_map.map_coe_ker LinearMap.map_coe_ker theorem ker_toAddSubmonoid (f : M →ₛₗ[τ₁₂] M₂) : f.ker.toAddSubmonoid = (AddMonoidHom.mker f) := rfl #align linear_map.ker_to_add_submonoid LinearMap.ker_toAddSubmonoid theorem comp_ker_subtype (f : M →ₛₗ[τ₁₂] M₂) : f.comp f.ker.subtype = 0 := LinearMap.ext fun x => mem_ker.1 x.2 #align linear_map.comp_ker_subtype LinearMap.comp_ker_subtype theorem ker_comp (f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : ker (g.comp f : M →ₛₗ[τ₁₃] M₃) = comap f (ker g) := rfl #align linear_map.ker_comp LinearMap.ker_comp theorem ker_le_ker_comp (f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : ker f ≤ ker (g.comp f : M →ₛₗ[τ₁₃] M₃) := by rw [ker_comp]; exact comap_mono bot_le #align linear_map.ker_le_ker_comp LinearMap.ker_le_ker_comp theorem ker_sup_ker_le_ker_comp_of_commute {f g : M →ₗ[R] M} (h : Commute f g) : ker f ⊔ ker g ≤ ker (f ∘ₗ g) := by refine sup_le_iff.mpr ⟨?_, ker_le_ker_comp g f⟩ rw [← mul_eq_comp, h.eq, mul_eq_comp] exact ker_le_ker_comp f g @[simp] theorem ker_le_comap {p : Submodule R₂ M₂} (f : M →ₛₗ[τ₁₂] M₂) : ker f ≤ p.comap f := fun x hx ↦ by simp [mem_ker.mp hx] theorem disjoint_ker {f : F} {p : Submodule R M} : Disjoint p (ker f) ↔ ∀ x ∈ p, f x = 0 → x = 0 := by simp [disjoint_def] #align linear_map.disjoint_ker LinearMap.disjoint_ker theorem ker_eq_bot' {f : F} : ker f = ⊥ ↔ ∀ m, f m = 0 → m = 0 := by simpa [disjoint_iff_inf_le] using disjoint_ker (f := f) (p := ⊤) #align linear_map.ker_eq_bot' LinearMap.ker_eq_bot' theorem ker_eq_bot_of_inverse {τ₂₁ : R₂ →+* R} [RingHomInvPair τ₁₂ τ₂₁] {f : M →ₛₗ[τ₁₂] M₂} {g : M₂ →ₛₗ[τ₂₁] M} (h : (g.comp f : M →ₗ[R] M) = id) : ker f = ⊥ := ker_eq_bot'.2 fun m hm => by rw [← id_apply (R := R) m, ← h, comp_apply, hm, g.map_zero] #align linear_map.ker_eq_bot_of_inverse LinearMap.ker_eq_bot_of_inverse
Mathlib/Algebra/Module/Submodule/Ker.lean
121
122
theorem le_ker_iff_map [RingHomSurjective τ₁₂] {f : F} {p : Submodule R M} : p ≤ ker f ↔ map f p = ⊥ := by
rw [ker, eq_bot_iff, map_le_iff_le_comap]
import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Sum import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Polynomial.Pochhammer #align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Nat (choose) open Polynomial (X) open scoped Polynomial variable (R : Type*) [CommRing R] def bernsteinPolynomial (n ν : ℕ) : R[X] := (choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) #align bernstein_polynomial bernsteinPolynomial example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by norm_num [bernsteinPolynomial, choose] ring namespace bernsteinPolynomial
Mathlib/RingTheory/Polynomial/Bernstein.lean
61
62
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith)
Mathlib/Analysis/MeanInequalities.lean
150
166
theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = x := calc ∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by
refine prod_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with h₀ | h₀ · rw [h₀, rpow_zero, rpow_zero] · rw [hx i hi h₀] _ = x := by rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one] have : (∑ i ∈ s, w i) ≠ 0 := by rw [hw'] exact one_ne_zero obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this rw [← hx i his hi] exact hz i his
import Mathlib.FieldTheory.SplittingField.Construction import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.Localization.Integral import Mathlib.RingTheory.IntegrallyClosed #align_import ring_theory.polynomial.gauss_lemma from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" open scoped nonZeroDivisors Polynomial variable {R : Type*} [CommRing R] section IsIntegrallyClosed open Polynomial open integralClosure open IsIntegrallyClosed variable (K : Type*) [Field K] [Algebra R K]
Mathlib/RingTheory/Polynomial/GaussLemma.lean
54
70
theorem integralClosure.mem_lifts_of_monic_of_dvd_map {f : R[X]} (hf : f.Monic) {g : K[X]} (hg : g.Monic) (hd : g ∣ f.map (algebraMap R K)) : g ∈ lifts (algebraMap (integralClosure R K) K) := by
have := mem_lift_of_splits_of_roots_mem_range (integralClosure R g.SplittingField) ((splits_id_iff_splits _).2 <| SplittingField.splits g) (hg.map _) fun a ha => (SetLike.ext_iff.mp (integralClosure R g.SplittingField).range_algebraMap _).mpr <| roots_mem_integralClosure hf ?_ · rw [lifts_iff_coeff_lifts, ← RingHom.coe_range, Subalgebra.range_algebraMap] at this refine (lifts_iff_coeff_lifts _).2 fun n => ?_ rw [← RingHom.coe_range, Subalgebra.range_algebraMap] obtain ⟨p, hp, he⟩ := SetLike.mem_coe.mp (this n); use p, hp rw [IsScalarTower.algebraMap_eq R K, coeff_map, ← eval₂_map, eval₂_at_apply] at he rw [eval₂_eq_eval_map]; apply (injective_iff_map_eq_zero _).1 _ _ he apply RingHom.injective rw [aroots_def, IsScalarTower.algebraMap_eq R K _, ← map_map] refine Multiset.mem_of_le (roots.le_of_dvd ((hf.map _).map _).ne_zero ?_) ha exact map_dvd (algebraMap K g.SplittingField) hd
import Mathlib.Data.Int.Bitwise import Mathlib.Data.Int.Order.Lemmas import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.int.lemmas from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f" open Nat namespace Int theorem le_natCast_sub (m n : ℕ) : (m - n : ℤ) ≤ ↑(m - n : ℕ) := by by_cases h : m ≥ n · exact le_of_eq (Int.ofNat_sub h).symm · simp [le_of_not_ge h, ofNat_le] #align int.le_coe_nat_sub Int.le_natCast_sub -- Porting note (#10618): simp can prove this @[simp] theorem succ_natCast_pos (n : ℕ) : 0 < (n : ℤ) + 1 := lt_add_one_iff.mpr (by simp) #align int.succ_coe_nat_pos Int.succ_natCast_pos variable {a b : ℤ} {n : ℕ} theorem natAbs_eq_iff_sq_eq {a b : ℤ} : a.natAbs = b.natAbs ↔ a ^ 2 = b ^ 2 := by rw [sq, sq] exact natAbs_eq_iff_mul_self_eq #align int.nat_abs_eq_iff_sq_eq Int.natAbs_eq_iff_sq_eq theorem natAbs_lt_iff_sq_lt {a b : ℤ} : a.natAbs < b.natAbs ↔ a ^ 2 < b ^ 2 := by rw [sq, sq] exact natAbs_lt_iff_mul_self_lt #align int.nat_abs_lt_iff_sq_lt Int.natAbs_lt_iff_sq_lt theorem natAbs_le_iff_sq_le {a b : ℤ} : a.natAbs ≤ b.natAbs ↔ a ^ 2 ≤ b ^ 2 := by rw [sq, sq] exact natAbs_le_iff_mul_self_le #align int.nat_abs_le_iff_sq_le Int.natAbs_le_iff_sq_le theorem natAbs_inj_of_nonneg_of_nonneg {a b : ℤ} (ha : 0 ≤ a) (hb : 0 ≤ b) : natAbs a = natAbs b ↔ a = b := by rw [← sq_eq_sq ha hb, ← natAbs_eq_iff_sq_eq] #align int.nat_abs_inj_of_nonneg_of_nonneg Int.natAbs_inj_of_nonneg_of_nonneg theorem natAbs_inj_of_nonpos_of_nonpos {a b : ℤ} (ha : a ≤ 0) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = b := by simpa only [Int.natAbs_neg, neg_inj] using natAbs_inj_of_nonneg_of_nonneg (neg_nonneg_of_nonpos ha) (neg_nonneg_of_nonpos hb) #align int.nat_abs_inj_of_nonpos_of_nonpos Int.natAbs_inj_of_nonpos_of_nonpos
Mathlib/Data/Int/Lemmas.lean
70
72
theorem natAbs_inj_of_nonneg_of_nonpos {a b : ℤ} (ha : 0 ≤ a) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = -b := by
simpa only [Int.natAbs_neg] using natAbs_inj_of_nonneg_of_nonneg ha (neg_nonneg_of_nonpos hb)
import Mathlib.Analysis.NormedSpace.Basic import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Data.Real.Sqrt import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.Topology.MetricSpace.HausdorffDistance #align_import analysis.normed.group.quotient from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" noncomputable section open QuotientAddGroup Metric Set Topology NNReal variable {M N : Type*} [SeminormedAddCommGroup M] [SeminormedAddCommGroup N] noncomputable instance normOnQuotient (S : AddSubgroup M) : Norm (M ⧸ S) where norm x := sInf (norm '' { m | mk' S m = x }) #align norm_on_quotient normOnQuotient theorem AddSubgroup.quotient_norm_eq {S : AddSubgroup M} (x : M ⧸ S) : ‖x‖ = sInf (norm '' { m : M | (m : M ⧸ S) = x }) := rfl #align add_subgroup.quotient_norm_eq AddSubgroup.quotient_norm_eq theorem QuotientAddGroup.norm_eq_infDist {S : AddSubgroup M} (x : M ⧸ S) : ‖x‖ = infDist 0 { m : M | (m : M ⧸ S) = x } := by simp only [AddSubgroup.quotient_norm_eq, infDist_eq_iInf, sInf_image', dist_zero_left] theorem QuotientAddGroup.norm_mk {S : AddSubgroup M} (x : M) : ‖(x : M ⧸ S)‖ = infDist x S := by rw [norm_eq_infDist, ← infDist_image (IsometryEquiv.subLeft x).isometry, IsometryEquiv.subLeft_apply, sub_zero, ← IsometryEquiv.preimage_symm] congr 1 with y simp only [mem_preimage, IsometryEquiv.subLeft_symm_apply, mem_setOf_eq, QuotientAddGroup.eq, neg_add, neg_neg, neg_add_cancel_right, SetLike.mem_coe] theorem image_norm_nonempty {S : AddSubgroup M} (x : M ⧸ S) : (norm '' { m | mk' S m = x }).Nonempty := .image _ <| Quot.exists_rep x #align image_norm_nonempty image_norm_nonempty theorem bddBelow_image_norm (s : Set M) : BddBelow (norm '' s) := ⟨0, forall_mem_image.2 fun _ _ ↦ norm_nonneg _⟩ #align bdd_below_image_norm bddBelow_image_norm theorem isGLB_quotient_norm {S : AddSubgroup M} (x : M ⧸ S) : IsGLB (norm '' { m | mk' S m = x }) (‖x‖) := isGLB_csInf (image_norm_nonempty x) (bddBelow_image_norm _) theorem quotient_norm_neg {S : AddSubgroup M} (x : M ⧸ S) : ‖-x‖ = ‖x‖ := by simp only [AddSubgroup.quotient_norm_eq] congr 1 with r constructor <;> { rintro ⟨m, hm, rfl⟩; use -m; simpa [neg_eq_iff_eq_neg] using hm } #align quotient_norm_neg quotient_norm_neg theorem quotient_norm_sub_rev {S : AddSubgroup M} (x y : M ⧸ S) : ‖x - y‖ = ‖y - x‖ := by rw [← neg_sub, quotient_norm_neg] #align quotient_norm_sub_rev quotient_norm_sub_rev theorem quotient_norm_mk_le (S : AddSubgroup M) (m : M) : ‖mk' S m‖ ≤ ‖m‖ := csInf_le (bddBelow_image_norm _) <| Set.mem_image_of_mem _ rfl #align quotient_norm_mk_le quotient_norm_mk_le theorem quotient_norm_mk_le' (S : AddSubgroup M) (m : M) : ‖(m : M ⧸ S)‖ ≤ ‖m‖ := quotient_norm_mk_le S m #align quotient_norm_mk_le' quotient_norm_mk_le' theorem quotient_norm_mk_eq (S : AddSubgroup M) (m : M) : ‖mk' S m‖ = sInf ((‖m + ·‖) '' S) := by rw [mk'_apply, norm_mk, sInf_image', ← infDist_image isometry_neg, image_neg, neg_coe_set (H := S), infDist_eq_iInf] simp only [dist_eq_norm', sub_neg_eq_add, add_comm] #align quotient_norm_mk_eq quotient_norm_mk_eq theorem quotient_norm_nonneg (S : AddSubgroup M) (x : M ⧸ S) : 0 ≤ ‖x‖ := Real.sInf_nonneg _ <| forall_mem_image.2 fun _ _ ↦ norm_nonneg _ #align quotient_norm_nonneg quotient_norm_nonneg theorem norm_mk_nonneg (S : AddSubgroup M) (m : M) : 0 ≤ ‖mk' S m‖ := quotient_norm_nonneg S _ #align norm_mk_nonneg norm_mk_nonneg
Mathlib/Analysis/Normed/Group/Quotient.lean
181
184
theorem quotient_norm_eq_zero_iff (S : AddSubgroup M) (m : M) : ‖mk' S m‖ = 0 ↔ m ∈ closure (S : Set M) := by
rw [mk'_apply, norm_mk, ← mem_closure_iff_infDist_zero] exact ⟨0, S.zero_mem⟩
import Mathlib.Data.PNat.Basic #align_import data.pnat.find from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" namespace PNat variable {p q : ℕ+ → Prop} [DecidablePred p] [DecidablePred q] (h : ∃ n, p n) instance decidablePredExistsNat : DecidablePred fun n' : ℕ => ∃ (n : ℕ+) (_ : n' = n), p n := fun n' => decidable_of_iff' (∃ h : 0 < n', p ⟨n', h⟩) <| Subtype.exists.trans <| by simp_rw [mk_coe, @exists_comm (_ < _) (_ = _), exists_prop, exists_eq_left'] #align pnat.decidable_pred_exists_nat PNat.decidablePredExistsNat protected def findX : { n // p n ∧ ∀ m : ℕ+, m < n → ¬p m } := by have : ∃ (n' : ℕ) (n : ℕ+) (_ : n' = n), p n := Exists.elim h fun n hn => ⟨n, n, rfl, hn⟩ have n := Nat.findX this refine ⟨⟨n, ?_⟩, ?_, fun m hm pm => ?_⟩ · obtain ⟨n', hn', -⟩ := n.prop.1 rw [hn'] exact n'.prop · obtain ⟨n', hn', pn'⟩ := n.prop.1 simpa [hn', Subtype.coe_eta] using pn' · exact n.prop.2 m hm ⟨m, rfl, pm⟩ #align pnat.find_x PNat.findX protected def find : ℕ+ := PNat.findX h #align pnat.find PNat.find protected theorem find_spec : p (PNat.find h) := (PNat.findX h).prop.left #align pnat.find_spec PNat.find_spec protected theorem find_min : ∀ {m : ℕ+}, m < PNat.find h → ¬p m := @(PNat.findX h).prop.right #align pnat.find_min PNat.find_min protected theorem find_min' {m : ℕ+} (hm : p m) : PNat.find h ≤ m := le_of_not_lt fun l => PNat.find_min h l hm #align pnat.find_min' PNat.find_min' variable {n m : ℕ+} theorem find_eq_iff : PNat.find h = m ↔ p m ∧ ∀ n < m, ¬p n := by constructor · rintro rfl exact ⟨PNat.find_spec h, fun _ => PNat.find_min h⟩ · rintro ⟨hm, hlt⟩ exact le_antisymm (PNat.find_min' h hm) (not_lt.1 <| imp_not_comm.1 (hlt _) <| PNat.find_spec h) #align pnat.find_eq_iff PNat.find_eq_iff @[simp] theorem find_lt_iff (n : ℕ+) : PNat.find h < n ↔ ∃ m < n, p m := ⟨fun h2 => ⟨PNat.find h, h2, PNat.find_spec h⟩, fun ⟨_, hmn, hm⟩ => (PNat.find_min' h hm).trans_lt hmn⟩ #align pnat.find_lt_iff PNat.find_lt_iff @[simp] theorem find_le_iff (n : ℕ+) : PNat.find h ≤ n ↔ ∃ m ≤ n, p m := by simp only [exists_prop, ← lt_add_one_iff, find_lt_iff] #align pnat.find_le_iff PNat.find_le_iff @[simp] theorem le_find_iff (n : ℕ+) : n ≤ PNat.find h ↔ ∀ m < n, ¬p m := by simp only [← not_lt, find_lt_iff, not_exists, not_and] #align pnat.le_find_iff PNat.le_find_iff @[simp]
Mathlib/Data/PNat/Find.lean
96
97
theorem lt_find_iff (n : ℕ+) : n < PNat.find h ↔ ∀ m ≤ n, ¬p m := by
simp only [← add_one_le_iff, le_find_iff, add_le_add_iff_right]
import Mathlib.Data.List.Duplicate import Mathlib.Data.List.Sort #align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" namespace List variable {α : Type*} section Sublist theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ) (hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by induction' l with hd tl IH generalizing l' f · simp have : some hd = _ := hf 0 rw [eq_comm, List.get?_eq_some] at this obtain ⟨w, h⟩ := this let f' : ℕ ↪o ℕ := OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by dsimp only rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff] rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt] exact b.succ_pos have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by intro ix rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?] rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt] exact ix.succ_pos rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append] apply List.Sublist.append _ (IH _ this) rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)] apply List.get_mem #align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
Mathlib/Data/List/NodupEquivFin.lean
144
161
theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} : l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by
constructor · intro H induction' H with xs ys y _H IH xs ys x _H IH · simp · obtain ⟨f, hf⟩ := IH refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩ simpa using hf · obtain ⟨f, hf⟩ := IH refine ⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩ · rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff] · rintro ⟨_ | i⟩ · simp · simpa using hf _ · rintro ⟨f, hf⟩ exact sublist_of_orderEmbedding_get?_eq f hf
import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.SetTheory.Cardinal.Cofinality #align_import linear_algebra.basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" noncomputable section universe u open Function Set Submodule variable {ι : Type*} {ι' : Type*} {R : Type*} {R₂ : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable [Semiring R] variable [AddCommMonoid M] [Module R M] [AddCommMonoid M'] [Module R M'] section variable (ι R M) structure Basis where ofRepr :: repr : M ≃ₗ[R] ι →₀ R #align basis Basis #align basis.repr Basis.repr #align basis.of_repr Basis.ofRepr end instance uniqueBasis [Subsingleton R] : Unique (Basis ι R M) := ⟨⟨⟨default⟩⟩, fun ⟨b⟩ => by rw [Subsingleton.elim b]⟩ #align unique_basis uniqueBasis namespace Basis instance : Inhabited (Basis ι R (ι →₀ R)) := ⟨.ofRepr (LinearEquiv.refl _ _)⟩ variable (b b₁ : Basis ι R M) (i : ι) (c : R) (x : M) section repr theorem repr_injective : Injective (repr : Basis ι R M → M ≃ₗ[R] ι →₀ R) := fun f g h => by cases f; cases g; congr #align basis.repr_injective Basis.repr_injective instance instFunLike : FunLike (Basis ι R M) ι M where coe b i := b.repr.symm (Finsupp.single i 1) coe_injective' f g h := repr_injective <| LinearEquiv.symm_bijective.injective <| LinearEquiv.toLinearMap_injective <| by ext; exact congr_fun h _ #align basis.fun_like Basis.instFunLike @[simp] theorem coe_ofRepr (e : M ≃ₗ[R] ι →₀ R) : ⇑(ofRepr e) = fun i => e.symm (Finsupp.single i 1) := rfl #align basis.coe_of_repr Basis.coe_ofRepr protected theorem injective [Nontrivial R] : Injective b := b.repr.symm.injective.comp fun _ _ => (Finsupp.single_left_inj (one_ne_zero : (1 : R) ≠ 0)).mp #align basis.injective Basis.injective theorem repr_symm_single_one : b.repr.symm (Finsupp.single i 1) = b i := rfl #align basis.repr_symm_single_one Basis.repr_symm_single_one theorem repr_symm_single : b.repr.symm (Finsupp.single i c) = c • b i := calc b.repr.symm (Finsupp.single i c) = b.repr.symm (c • Finsupp.single i (1 : R)) := by { rw [Finsupp.smul_single', mul_one] } _ = c • b i := by rw [LinearEquiv.map_smul, repr_symm_single_one] #align basis.repr_symm_single Basis.repr_symm_single @[simp] theorem repr_self : b.repr (b i) = Finsupp.single i 1 := LinearEquiv.apply_symm_apply _ _ #align basis.repr_self Basis.repr_self theorem repr_self_apply (j) [Decidable (i = j)] : b.repr (b i) j = if i = j then 1 else 0 := by rw [repr_self, Finsupp.single_apply] #align basis.repr_self_apply Basis.repr_self_apply @[simp] theorem repr_symm_apply (v) : b.repr.symm v = Finsupp.total ι M R b v := calc b.repr.symm v = b.repr.symm (v.sum Finsupp.single) := by simp _ = v.sum fun i vi => b.repr.symm (Finsupp.single i vi) := map_finsupp_sum .. _ = Finsupp.total ι M R b v := by simp only [repr_symm_single, Finsupp.total_apply] #align basis.repr_symm_apply Basis.repr_symm_apply @[simp] theorem coe_repr_symm : ↑b.repr.symm = Finsupp.total ι M R b := LinearMap.ext fun v => b.repr_symm_apply v #align basis.coe_repr_symm Basis.coe_repr_symm @[simp] theorem repr_total (v) : b.repr (Finsupp.total _ _ _ b v) = v := by rw [← b.coe_repr_symm] exact b.repr.apply_symm_apply v #align basis.repr_total Basis.repr_total @[simp] theorem total_repr : Finsupp.total _ _ _ b (b.repr x) = x := by rw [← b.coe_repr_symm] exact b.repr.symm_apply_apply x #align basis.total_repr Basis.total_repr
Mathlib/LinearAlgebra/Basis.lean
178
179
theorem repr_range : LinearMap.range (b.repr : M →ₗ[R] ι →₀ R) = Finsupp.supported R R univ := by
rw [LinearEquiv.range, Finsupp.supported_univ]
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 tprod variable [CommMonoid α] [TopologicalSpace α] {f g : β → α} {a a₁ a₂ : α} @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Basic.lean
387
388
theorem tprod_congr_set_coe (f : β → α) {s t : Set β} (h : s = t) : ∏' x : s, f x = ∏' x : t, f x := by
rw [h]
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm] #align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero
Mathlib/Data/Finsupp/AList.lean
95
98
theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} : l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by
rw [lookupFinsupp_apply, ← lookup_eq_none] cases' lookup a l with m <;> simp
import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Tactic.Ring #align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" open Finset namespace Nat variable (p : ℕ → Prop) section Count variable [DecidablePred p] def count (n : ℕ) : ℕ := (List.range n).countP p #align nat.count Nat.count @[simp] theorem count_zero : count p 0 = 0 := by rw [count, List.range_zero, List.countP, List.countP.go] #align nat.count_zero Nat.count_zero def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by apply Fintype.ofFinset ((Finset.range n).filter p) intro x rw [mem_filter, mem_range] rfl #align nat.count_set.fintype Nat.CountSet.fintype scoped[Count] attribute [instance] Nat.CountSet.fintype open Count
Mathlib/Data/Nat/Count.lean
54
56
theorem count_eq_card_filter_range (n : ℕ) : count p n = ((range n).filter p).card := by
rw [count, List.countP_eq_length_filter] rfl
import Mathlib.Data.Fintype.Card import Mathlib.Computability.Language import Mathlib.Tactic.NormNum #align_import computability.DFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" open Computability universe u v -- Porting note: Required as `DFA` is used in mathlib3 set_option linter.uppercaseLean3 false structure DFA (α : Type u) (σ : Type v) where step : σ → α → σ start : σ accept : Set σ #align DFA DFA namespace DFA variable {α : Type u} {σ : Type v} (M : DFA α σ) instance [Inhabited σ] : Inhabited (DFA α σ) := ⟨DFA.mk (fun _ _ => default) default ∅⟩ def evalFrom (start : σ) : List α → σ := List.foldl M.step start #align DFA.eval_from DFA.evalFrom @[simp] theorem evalFrom_nil (s : σ) : M.evalFrom s [] = s := rfl #align DFA.eval_from_nil DFA.evalFrom_nil @[simp] theorem evalFrom_singleton (s : σ) (a : α) : M.evalFrom s [a] = M.step s a := rfl #align DFA.eval_from_singleton DFA.evalFrom_singleton @[simp] theorem evalFrom_append_singleton (s : σ) (x : List α) (a : α) : M.evalFrom s (x ++ [a]) = M.step (M.evalFrom s x) a := by simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil] #align DFA.eval_from_append_singleton DFA.evalFrom_append_singleton def eval : List α → σ := M.evalFrom M.start #align DFA.eval DFA.eval @[simp] theorem eval_nil : M.eval [] = M.start := rfl #align DFA.eval_nil DFA.eval_nil @[simp] theorem eval_singleton (a : α) : M.eval [a] = M.step M.start a := rfl #align DFA.eval_singleton DFA.eval_singleton @[simp] theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.step (M.eval x) a := evalFrom_append_singleton _ _ _ _ #align DFA.eval_append_singleton DFA.eval_append_singleton theorem evalFrom_of_append (start : σ) (x y : List α) : M.evalFrom start (x ++ y) = M.evalFrom (M.evalFrom start x) y := x.foldl_append _ _ y #align DFA.eval_from_of_append DFA.evalFrom_of_append def accepts : Language α := {x | M.eval x ∈ M.accept} #align DFA.accepts DFA.accepts theorem mem_accepts (x : List α) : x ∈ M.accepts ↔ M.evalFrom M.start x ∈ M.accept := by rfl #align DFA.mem_accepts DFA.mem_accepts theorem evalFrom_split [Fintype σ] {x : List α} {s t : σ} (hlen : Fintype.card σ ≤ x.length) (hx : M.evalFrom s x = t) : ∃ q a b c, x = a ++ b ++ c ∧ a.length + b.length ≤ Fintype.card σ ∧ b ≠ [] ∧ M.evalFrom s a = q ∧ M.evalFrom q b = q ∧ M.evalFrom q c = t := by obtain ⟨n, m, hneq, heq⟩ := Fintype.exists_ne_map_eq_of_card_lt (fun n : Fin (Fintype.card σ + 1) => M.evalFrom s (x.take n)) (by norm_num) wlog hle : (n : ℕ) ≤ m · exact this _ hlen hx _ _ hneq.symm heq.symm (le_of_not_le hle) have hm : (m : ℕ) ≤ Fintype.card σ := Fin.is_le m refine ⟨M.evalFrom s ((x.take m).take n), (x.take m).take n, (x.take m).drop n, x.drop m, ?_, ?_, ?_, by rfl, ?_⟩ · rw [List.take_append_drop, List.take_append_drop] · simp only [List.length_drop, List.length_take] rw [min_eq_left (hm.trans hlen), min_eq_left hle, add_tsub_cancel_of_le hle] exact hm · intro h have hlen' := congr_arg List.length h simp only [List.length_drop, List.length, List.length_take] at hlen' rw [min_eq_left, tsub_eq_zero_iff_le] at hlen' · apply hneq apply le_antisymm assumption' exact hm.trans hlen have hq : M.evalFrom (M.evalFrom s ((x.take m).take n)) ((x.take m).drop n) = M.evalFrom s ((x.take m).take n) := by rw [List.take_take, min_eq_left hle, ← evalFrom_of_append, heq, ← min_eq_left hle, ← List.take_take, min_eq_left hle, List.take_append_drop] use hq rwa [← hq, ← evalFrom_of_append, ← evalFrom_of_append, ← List.append_assoc, List.take_append_drop, List.take_append_drop] #align DFA.eval_from_split DFA.evalFrom_split
Mathlib/Computability/DFA.lean
137
148
theorem evalFrom_of_pow {x y : List α} {s : σ} (hx : M.evalFrom s x = s) (hy : y ∈ ({x} : Language α)∗) : M.evalFrom s y = s := by
rw [Language.mem_kstar] at hy rcases hy with ⟨S, rfl, hS⟩ induction' S with a S ih · rfl · have ha := hS a (List.mem_cons_self _ _) rw [Set.mem_singleton_iff] at ha rw [List.join, evalFrom_of_append, ha, hx] apply ih intro z hz exact hS z (List.mem_cons_of_mem a hz)
import Mathlib.Dynamics.PeriodicPts import Mathlib.GroupTheory.Exponent import Mathlib.GroupTheory.GroupAction.Basic namespace MulAction universe u v variable {α : Type v} variable {G : Type u} [Group G] [MulAction G α] variable {M : Type u} [Monoid M] [MulAction M α] @[to_additive "If the action is periodic, then a lower bound for its period can be computed."] theorem le_period {m : M} {a : α} {n : ℕ} (period_pos : 0 < period m a) (moved : ∀ k, 0 < k → k < n → m ^ k • a ≠ a) : n ≤ period m a := le_of_not_gt fun period_lt_n => moved _ period_pos period_lt_n <| pow_period_smul m a @[to_additive "If for some `n`, `(n • m) +ᵥ a = a`, then `period m a ≤ n`."] theorem period_le_of_fixed {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (fixed : m ^ n • a = a) : period m a ≤ n := (isPeriodicPt_smul_iff.mpr fixed).minimalPeriod_le n_pos @[to_additive "If for some `n`, `(n • m) +ᵥ a = a`, then `0 < period m a`."] theorem period_pos_of_fixed {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (fixed : m ^ n • a = a) : 0 < period m a := (isPeriodicPt_smul_iff.mpr fixed).minimalPeriod_pos n_pos @[to_additive] theorem period_eq_one_iff {m : M} {a : α} : period m a = 1 ↔ m • a = a := ⟨fun eq_one => pow_one m ▸ eq_one ▸ pow_period_smul m a, fun fixed => le_antisymm (period_le_of_fixed one_pos (by simpa)) (period_pos_of_fixed one_pos (by simpa))⟩ @[to_additive "For any non-zero `n` less than the period of `m` on `a`, `a` is moved by `n • m`."] theorem pow_smul_ne_of_lt_period {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (n_lt_period : n < period m a) : m ^ n • a ≠ a := fun a_fixed => not_le_of_gt n_lt_period <| period_le_of_fixed n_pos a_fixed section MonoidExponent @[to_additive]
Mathlib/GroupTheory/GroupAction/Period.lean
87
88
theorem period_dvd_orderOf (m : M) (a : α) : period m a ∣ orderOf m := by
rw [← pow_smul_eq_iff_period_dvd, pow_orderOf_eq_one, one_smul]
import Mathlib.Order.Interval.Finset.Nat #align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" assert_not_exists MonoidWithZero open Finset Fin Function namespace Fin variable (n : ℕ) instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) := OrderIso.locallyFiniteOrder Fin.orderIsoSubtype instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) := OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n) | 0 => IsEmpty.toLocallyFiniteOrderTop | _ + 1 => inferInstance variable {n} (a b : Fin n) theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n := rfl #align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n := rfl #align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n := rfl #align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n := rfl #align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl #align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype @[simp] theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc @[simp] theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico @[simp] theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc @[simp] theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo @[simp] theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b := map_valEmbedding_Icc _ _ #align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := by rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map] #align fin.card_Icc Fin.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := by rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map] #align fin.card_Ico Fin.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := by rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map] #align fin.card_Ioc Fin.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := by rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map] #align fin.card_Ioo Fin.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map] #align fin.card_uIcc Fin.card_uIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [← card_Icc, Fintype.card_ofFinset] #align fin.card_fintype_Icc Fin.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by rw [← card_Ico, Fintype.card_ofFinset] #align fin.card_fintype_Ico Fin.card_fintypeIco -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by rw [← card_Ioc, Fintype.card_ofFinset] #align fin.card_fintype_Ioc Fin.card_fintypeIoc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by rw [← card_Ioo, Fintype.card_ofFinset] #align fin.card_fintype_Ioo Fin.card_fintypeIoo
Mathlib/Order/Interval/Finset/Fin.lean
152
153
theorem card_fintype_uIcc : Fintype.card (Set.uIcc a b) = (b - a : ℤ).natAbs + 1 := by
rw [← card_uIcc, Fintype.card_ofFinset]
import Mathlib.Data.Matroid.Dual open Set namespace Matroid variable {α : Type*} {M : Matroid α} {R I J X Y : Set α} section restrict @[simps] def restrictIndepMatroid (M : Matroid α) (R : Set α) : IndepMatroid α where E := R Indep I := M.Indep I ∧ I ⊆ R indep_empty := ⟨M.empty_indep, empty_subset _⟩ indep_subset := fun I J h hIJ ↦ ⟨h.1.subset hIJ, hIJ.trans h.2⟩ indep_aug := by rintro I I' ⟨hI, hIY⟩ (hIn : ¬ M.Basis' I R) (hI' : M.Basis' I' R) rw [basis'_iff_basis_inter_ground] at hIn hI' obtain ⟨B', hB', rfl⟩ := hI'.exists_base obtain ⟨B, hB, hIB, hBIB'⟩ := hI.exists_base_subset_union_base hB' rw [hB'.inter_basis_iff_compl_inter_basis_dual, diff_inter_diff] at hI' have hss : M.E \ (B' ∪ (R ∩ M.E)) ⊆ M.E \ (B ∪ (R ∩ M.E)) := by apply diff_subset_diff_right rw [union_subset_iff, and_iff_left subset_union_right, union_comm] exact hBIB'.trans (union_subset_union_left _ (subset_inter hIY hI.subset_ground)) have hi : M✶.Indep (M.E \ (B ∪ (R ∩ M.E))) := by rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_right subset_union_left disjoint_sdiff_left⟩ have h_eq := hI'.eq_of_subset_indep hi hss (diff_subset_diff_right subset_union_right) rw [h_eq, ← diff_inter_diff, ← hB.inter_basis_iff_compl_inter_basis_dual] at hI' obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis_of_subset (subset_inter hIB (subset_inter hIY hI.subset_ground)) obtain rfl := hI'.indep.eq_of_basis hJ have hIJ' : I ⊂ B ∩ (R ∩ M.E) := hIJ.ssubset_of_ne (fun he ↦ hIn (by rwa [he])) obtain ⟨e, he⟩ := exists_of_ssubset hIJ' exact ⟨e, ⟨⟨(hBIB' he.1.1).elim (fun h ↦ (he.2 h).elim) id,he.1.2⟩, he.2⟩, hI'.indep.subset (insert_subset he.1 hIJ), insert_subset he.1.2.1 hIY⟩ indep_maximal := by rintro A hAX I ⟨hI, _⟩ hIA obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis'_of_subset hIA; use J rw [mem_maximals_setOf_iff, and_iff_left hJ.subset, and_iff_left hIJ, and_iff_right ⟨hJ.indep, hJ.subset.trans hAX⟩] exact fun K ⟨⟨hK, _⟩, _, hKA⟩ hJK ↦ hJ.eq_of_subset_indep hK hJK hKA subset_ground I := And.right def restrict (M : Matroid α) (R : Set α) : Matroid α := (M.restrictIndepMatroid R).matroid scoped infixl:65 " ↾ " => Matroid.restrict @[simp] theorem restrict_indep_iff : (M ↾ R).Indep I ↔ M.Indep I ∧ I ⊆ R := Iff.rfl theorem Indep.indep_restrict_of_subset (h : M.Indep I) (hIR : I ⊆ R) : (M ↾ R).Indep I := restrict_indep_iff.mpr ⟨h,hIR⟩ theorem Indep.of_restrict (hI : (M ↾ R).Indep I) : M.Indep I := (restrict_indep_iff.1 hI).1 @[simp] theorem restrict_ground_eq : (M ↾ R).E = R := rfl theorem restrict_finite {R : Set α} (hR : R.Finite) : (M ↾ R).Finite := ⟨hR⟩ @[simp] theorem restrict_dep_iff : (M ↾ R).Dep X ↔ ¬ M.Indep X ∧ X ⊆ R := by rw [Dep, restrict_indep_iff, restrict_ground_eq]; tauto @[simp] theorem restrict_ground_eq_self (M : Matroid α) : (M ↾ M.E) = M := by refine eq_of_indep_iff_indep_forall rfl ?_; aesop
Mathlib/Data/Matroid/Restrict.lean
142
146
theorem restrict_restrict_eq {R₁ R₂ : Set α} (M : Matroid α) (hR : R₂ ⊆ R₁) : (M ↾ R₁) ↾ R₂ = M ↾ R₂ := by
refine eq_of_indep_iff_indep_forall rfl ?_ simp only [restrict_ground_eq, restrict_indep_iff, and_congr_left_iff, and_iff_left_iff_imp] exact fun _ h _ _ ↦ h.trans hR
import Mathlib.Analysis.PSeries import Mathlib.Data.Real.Pi.Wallis import Mathlib.Tactic.AdaptationNote #align_import analysis.special_functions.stirling from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open scoped Topology Real Nat Asymptotics open Finset Filter Nat Real namespace Stirling noncomputable def stirlingSeq (n : ℕ) : ℝ := n ! / (√(2 * n : ℝ) * (n / exp 1) ^ n) #align stirling.stirling_seq Stirling.stirlingSeq @[simp] theorem stirlingSeq_zero : stirlingSeq 0 = 0 := by rw [stirlingSeq, cast_zero, mul_zero, Real.sqrt_zero, zero_mul, div_zero] #align stirling.stirling_seq_zero Stirling.stirlingSeq_zero @[simp] theorem stirlingSeq_one : stirlingSeq 1 = exp 1 / √2 := by rw [stirlingSeq, pow_one, factorial_one, cast_one, mul_one, mul_one_div, one_div_div] #align stirling.stirling_seq_one Stirling.stirlingSeq_one
Mathlib/Analysis/SpecialFunctions/Stirling.lean
65
70
theorem log_stirlingSeq_formula (n : ℕ) : log (stirlingSeq n) = Real.log n ! - 1 / 2 * Real.log (2 * n) - n * log (n / exp 1) := by
cases n · simp · rw [stirlingSeq, log_div, log_mul, sqrt_eq_rpow, log_rpow, Real.log_pow, tsub_tsub] <;> positivity
import Mathlib.AlgebraicTopology.SplitSimplicialObject import Mathlib.AlgebraicTopology.DoldKan.Degeneracies import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.split_simplicial_object from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Limits CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Idempotents Opposite AlgebraicTopology AlgebraicTopology.DoldKan Simplicial DoldKan namespace SimplicialObject namespace Splitting variable {C : Type*} [Category C] {X : SimplicialObject C} (s : Splitting X) noncomputable def πSummand [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : X.obj Δ ⟶ s.N A.1.unop.len := s.desc Δ (fun B => by by_cases h : B = A · exact eqToHom (by subst h; rfl) · exact 0) #align simplicial_object.splitting.π_summand SimplicialObject.Splitting.πSummand @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_id [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : (s.cofan Δ).inj A ≫ s.πSummand A = 𝟙 _ := by simp [πSummand] #align simplicial_object.splitting.ι_π_summand_eq_id SimplicialObject.Splitting.cofan_inj_πSummand_eq_id @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_zero [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A B : IndexSet Δ) (h : B ≠ A) : (s.cofan Δ).inj A ≫ s.πSummand B = 0 := by dsimp [πSummand] rw [ι_desc, dif_neg h.symm] #align simplicial_object.splitting.ι_π_summand_eq_zero SimplicialObject.Splitting.cofan_inj_πSummand_eq_zero variable [Preadditive C] theorem decomposition_id (Δ : SimplexCategoryᵒᵖ) : 𝟙 (X.obj Δ) = ∑ A : IndexSet Δ, s.πSummand A ≫ (s.cofan Δ).inj A := by apply s.hom_ext' intro A dsimp erw [comp_id, comp_sum, Finset.sum_eq_single A, cofan_inj_πSummand_eq_id_assoc] · intro B _ h₂ rw [s.cofan_inj_πSummand_eq_zero_assoc _ _ h₂, zero_comp] · simp #align simplicial_object.splitting.decomposition_id SimplicialObject.Splitting.decomposition_id @[reassoc (attr := simp)] theorem σ_comp_πSummand_id_eq_zero {n : ℕ} (i : Fin (n + 1)) : X.σ i ≫ s.πSummand (IndexSet.id (op [n + 1])) = 0 := by apply s.hom_ext' intro A dsimp only [SimplicialObject.σ] rw [comp_zero, s.cofan_inj_epi_naturality_assoc A (SimplexCategory.σ i).op, cofan_inj_πSummand_eq_zero] rw [ne_comm] change ¬(A.epiComp (SimplexCategory.σ i).op).EqId rw [IndexSet.eqId_iff_len_eq] have h := SimplexCategory.len_le_of_epi (inferInstance : Epi A.e) dsimp at h ⊢ omega #align simplicial_object.splitting.σ_comp_π_summand_id_eq_zero SimplicialObject.Splitting.σ_comp_πSummand_id_eq_zero theorem cofan_inj_comp_PInfty_eq_zero {X : SimplicialObject C} (s : SimplicialObject.Splitting X) {n : ℕ} (A : SimplicialObject.Splitting.IndexSet (op [n])) (hA : ¬A.EqId) : (s.cofan _).inj A ≫ PInfty.f n = 0 := by rw [SimplicialObject.Splitting.IndexSet.eqId_iff_mono] at hA rw [SimplicialObject.Splitting.cofan_inj_eq, assoc, degeneracy_comp_PInfty X n A.e hA, comp_zero] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.ι_summand_comp_P_infty_eq_zero SimplicialObject.Splitting.cofan_inj_comp_PInfty_eq_zero
Mathlib/AlgebraicTopology/DoldKan/SplitSimplicialObject.lean
99
122
theorem comp_PInfty_eq_zero_iff {Z : C} {n : ℕ} (f : Z ⟶ X _[n]) : f ≫ PInfty.f n = 0 ↔ f ≫ s.πSummand (IndexSet.id (op [n])) = 0 := by
constructor · intro h rcases n with _|n · dsimp at h rw [comp_id] at h rw [h, zero_comp] · have h' := f ≫= PInfty_f_add_QInfty_f (n + 1) dsimp at h' rw [comp_id, comp_add, h, zero_add] at h' rw [← h', assoc, QInfty_f, decomposition_Q, Preadditive.sum_comp, Preadditive.comp_sum, Finset.sum_eq_zero] intro i _ simp only [assoc, σ_comp_πSummand_id_eq_zero, comp_zero] · intro h rw [← comp_id f, assoc, s.decomposition_id, Preadditive.sum_comp, Preadditive.comp_sum, Fintype.sum_eq_zero] intro A by_cases hA : A.EqId · dsimp at hA subst hA rw [assoc, reassoc_of% h, zero_comp] · simp only [assoc, s.cofan_inj_comp_PInfty_eq_zero A hA, comp_zero]
import Mathlib.Topology.Algebra.Nonarchimedean.Basic import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Algebra.Module.Submodule.Pointwise #align_import topology.algebra.nonarchimedean.bases from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Function Lattice open Topology Filter Pointwise structure RingSubgroupsBasis {A ι : Type*} [Ring A] (B : ι → AddSubgroup A) : Prop where inter : ∀ i j, ∃ k, B k ≤ B i ⊓ B j mul : ∀ i, ∃ j, (B j : Set A) * B j ⊆ B i leftMul : ∀ x : A, ∀ i, ∃ j, (B j : Set A) ⊆ (x * ·) ⁻¹' B i rightMul : ∀ x : A, ∀ i, ∃ j, (B j : Set A) ⊆ (· * x) ⁻¹' B i #align ring_subgroups_basis RingSubgroupsBasis variable {ι R A : Type*} [CommRing R] [CommRing A] [Algebra R A] structure SubmodulesRingBasis (B : ι → Submodule R A) : Prop where inter : ∀ i j, ∃ k, B k ≤ B i ⊓ B j leftMul : ∀ (a : A) (i), ∃ j, a • B j ≤ B i mul : ∀ i, ∃ j, (B j : Set A) * B j ⊆ B i #align submodules_ring_basis SubmodulesRingBasis variable {M : Type*} [AddCommGroup M] [Module R M] structure SubmodulesBasis [TopologicalSpace R] (B : ι → Submodule R M) : Prop where inter : ∀ i j, ∃ k, B k ≤ B i ⊓ B j smul : ∀ (m : M) (i : ι), ∀ᶠ a in 𝓝 (0 : R), a • m ∈ B i #align submodules_basis SubmodulesBasis namespace SubmodulesBasis variable [TopologicalSpace R] [Nonempty ι] {B : ι → Submodule R M} (hB : SubmodulesBasis B) def toModuleFilterBasis : ModuleFilterBasis R M where sets := { U | ∃ i, U = B i } nonempty := by inhabit ι exact ⟨B default, default, rfl⟩ inter_sets := by rintro _ _ ⟨i, rfl⟩ ⟨j, rfl⟩ cases' hB.inter i j with k hk use B k constructor · use k · exact hk zero' := by rintro _ ⟨i, rfl⟩ exact (B i).zero_mem add' := by rintro _ ⟨i, rfl⟩ use B i constructor · use i · rintro x ⟨y, y_in, z, z_in, rfl⟩ exact (B i).add_mem y_in z_in neg' := by rintro _ ⟨i, rfl⟩ use B i constructor · use i · intro x x_in exact (B i).neg_mem x_in conj' := by rintro x₀ _ ⟨i, rfl⟩ use B i constructor · use i · simp smul' := by rintro _ ⟨i, rfl⟩ use univ constructor · exact univ_mem · use B i constructor · use i · rintro _ ⟨a, -, m, hm, rfl⟩ exact (B i).smul_mem _ hm smul_left' := by rintro x₀ _ ⟨i, rfl⟩ use B i constructor · use i · intro m exact (B i).smul_mem _ smul_right' := by rintro m₀ _ ⟨i, rfl⟩ exact hB.smul m₀ i #align submodules_basis.to_module_filter_basis SubmodulesBasis.toModuleFilterBasis def topology : TopologicalSpace M := hB.toModuleFilterBasis.toAddGroupFilterBasis.topology #align submodules_basis.topology SubmodulesBasis.topology def openAddSubgroup (i : ι) : @OpenAddSubgroup M _ hB.topology := let _ := hB.topology -- Porting note: failed to synthesize instance `TopologicalSpace A` { (B i).toAddSubgroup with isOpen' := by letI := hB.topology rw [isOpen_iff_mem_nhds] intro a a_in rw [(hB.toModuleFilterBasis.toAddGroupFilterBasis.nhds_hasBasis a).mem_iff] use B i constructor · use i · rintro - ⟨b, b_in, rfl⟩ exact (B i).add_mem a_in b_in } #align submodules_basis.open_add_subgroup SubmodulesBasis.openAddSubgroup -- see Note [nonarchimedean non instances]
Mathlib/Topology/Algebra/Nonarchimedean/Bases.lean
339
345
theorem nonarchimedean (hB : SubmodulesBasis B) : @NonarchimedeanAddGroup M _ hB.topology := by
letI := hB.topology constructor intro U hU obtain ⟨-, ⟨i, rfl⟩, hi : (B i : Set M) ⊆ U⟩ := hB.toModuleFilterBasis.toAddGroupFilterBasis.nhds_zero_hasBasis.mem_iff.mp hU exact ⟨hB.openAddSubgroup i, hi⟩
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem Monotone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sSup (f '' A) := --This is a particular case of the more general `IsLUB.isLUB_of_tendsto` .symm <| ((isLUB_csSup A_nonemp A_bdd).isLUB_of_tendsto (Mf.monotoneOn _) A_nonemp <| Cf.mono_left inf_le_left).csSup_eq (A_nonemp.image f) #align monotone.map_Sup_of_continuous_at' Monotone.map_sSup_of_continuousAt' theorem Monotone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Mf : Monotone f) (bdd : BddAbove (range g) := by bddDefault) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Monotone.map_sSup_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iSup] rfl #align monotone.map_supr_of_continuous_at' Monotone.map_iSup_of_continuousAt' theorem Monotone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sInf (f '' A) := Monotone.map_sSup_of_continuousAt' (α := αᵒᵈ) (β := βᵒᵈ) Cf Mf.dual A_nonemp A_bdd #align monotone.map_Inf_of_continuous_at' Monotone.map_sInf_of_continuousAt' theorem Monotone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Mf : Monotone f) (bdd : BddBelow (range g) := by bddDefault) : f (⨅ i, g i) = ⨅ i, f (g i) := by rw [iInf, Monotone.map_sInf_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iInf] rfl #align monotone.map_infi_of_continuous_at' Monotone.map_iInf_of_continuousAt' theorem Antitone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Af : Antitone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sSup (f '' A) := Monotone.map_sInf_of_continuousAt' (β := βᵒᵈ) Cf Af.dual_right A_nonemp A_bdd #align antitone.map_Inf_of_continuous_at' Antitone.map_sInf_of_continuousAt' theorem Antitone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Af : Antitone f) (bdd : BddBelow (range g) := by bddDefault) : f (⨅ i, g i) = ⨆ i, f (g i) := by rw [iInf, Antitone.map_sInf_of_continuousAt' Cf Af (range_nonempty g) bdd, ← range_comp, iSup] rfl #align antitone.map_infi_of_continuous_at' Antitone.map_iInf_of_continuousAt' theorem Antitone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Af : Antitone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sInf (f '' A) := Monotone.map_sSup_of_continuousAt' (β := βᵒᵈ) Cf Af.dual_right A_nonemp A_bdd #align antitone.map_Sup_of_continuous_at' Antitone.map_sSup_of_continuousAt'
Mathlib/Topology/Order/Monotone.lean
92
96
theorem Antitone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Af : Antitone f) (bdd : BddAbove (range g) := by
bddDefault) : f (⨆ i, g i) = ⨅ i, f (g i) := by rw [iSup, Antitone.map_sSup_of_continuousAt' Cf Af (range_nonempty g) bdd, ← range_comp, iInf] rfl
import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Cast import Mathlib.Data.Nat.Choose.Vandermonde import Mathlib.Tactic.FieldSimp #align_import data.polynomial.hasse_deriv from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64" noncomputable section namespace Polynomial open Nat Polynomial open Function variable {R : Type*} [Semiring R] (k : ℕ) (f : R[X]) def hasseDeriv (k : ℕ) : R[X] →ₗ[R] R[X] := lsum fun i => monomial (i - k) ∘ₗ DistribMulAction.toLinearMap R R (i.choose k) #align polynomial.hasse_deriv Polynomial.hasseDeriv theorem hasseDeriv_apply : hasseDeriv k f = f.sum fun i r => monomial (i - k) (↑(i.choose k) * r) := by dsimp [hasseDeriv] congr; ext; congr apply nsmul_eq_mul #align polynomial.hasse_deriv_apply Polynomial.hasseDeriv_apply theorem hasseDeriv_coeff (n : ℕ) : (hasseDeriv k f).coeff n = (n + k).choose k * f.coeff (n + k) := by rw [hasseDeriv_apply, coeff_sum, sum_def, Finset.sum_eq_single (n + k), coeff_monomial] · simp only [if_true, add_tsub_cancel_right, eq_self_iff_true] · intro i _hi hink rw [coeff_monomial] by_cases hik : i < k · simp only [Nat.choose_eq_zero_of_lt hik, ite_self, Nat.cast_zero, zero_mul] · push_neg at hik rw [if_neg] contrapose! hink exact (tsub_eq_iff_eq_add_of_le hik).mp hink · intro h simp only [not_mem_support_iff.mp h, monomial_zero_right, mul_zero, coeff_zero] #align polynomial.hasse_deriv_coeff Polynomial.hasseDeriv_coeff theorem hasseDeriv_zero' : hasseDeriv 0 f = f := by simp only [hasseDeriv_apply, tsub_zero, Nat.choose_zero_right, Nat.cast_one, one_mul, sum_monomial_eq] #align polynomial.hasse_deriv_zero' Polynomial.hasseDeriv_zero' @[simp] theorem hasseDeriv_zero : @hasseDeriv R _ 0 = LinearMap.id := LinearMap.ext <| hasseDeriv_zero' #align polynomial.hasse_deriv_zero Polynomial.hasseDeriv_zero theorem hasseDeriv_eq_zero_of_lt_natDegree (p : R[X]) (n : ℕ) (h : p.natDegree < n) : hasseDeriv n p = 0 := by rw [hasseDeriv_apply, sum_def] refine Finset.sum_eq_zero fun x hx => ?_ simp [Nat.choose_eq_zero_of_lt ((le_natDegree_of_mem_supp _ hx).trans_lt h)] #align polynomial.hasse_deriv_eq_zero_of_lt_nat_degree Polynomial.hasseDeriv_eq_zero_of_lt_natDegree theorem hasseDeriv_one' : hasseDeriv 1 f = derivative f := by simp only [hasseDeriv_apply, derivative_apply, ← C_mul_X_pow_eq_monomial, Nat.choose_one_right, (Nat.cast_commute _ _).eq] #align polynomial.hasse_deriv_one' Polynomial.hasseDeriv_one' @[simp] theorem hasseDeriv_one : @hasseDeriv R _ 1 = derivative := LinearMap.ext <| hasseDeriv_one' #align polynomial.hasse_deriv_one Polynomial.hasseDeriv_one @[simp] theorem hasseDeriv_monomial (n : ℕ) (r : R) : hasseDeriv k (monomial n r) = monomial (n - k) (↑(n.choose k) * r) := by ext i simp only [hasseDeriv_coeff, coeff_monomial] by_cases hnik : n = i + k · rw [if_pos hnik, if_pos, ← hnik] apply tsub_eq_of_eq_add_rev rwa [add_comm] · rw [if_neg hnik, mul_zero] by_cases hkn : k ≤ n · rw [← tsub_eq_iff_eq_add_of_le hkn] at hnik rw [if_neg hnik] · push_neg at hkn rw [Nat.choose_eq_zero_of_lt hkn, Nat.cast_zero, zero_mul, ite_self] #align polynomial.hasse_deriv_monomial Polynomial.hasseDeriv_monomial
Mathlib/Algebra/Polynomial/HasseDeriv.lean
127
129
theorem hasseDeriv_C (r : R) (hk : 0 < k) : hasseDeriv k (C r) = 0 := by
rw [← monomial_zero_left, hasseDeriv_monomial, Nat.choose_eq_zero_of_lt hk, Nat.cast_zero, zero_mul, monomial_zero_right]
import Mathlib.Data.List.Sigma #align_import data.list.alist from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb" universe u v w open List variable {α : Type u} {β : α → Type v} structure AList (β : α → Type v) : Type max u v where entries : List (Sigma β) nodupKeys : entries.NodupKeys #align alist AList def List.toAList [DecidableEq α] {β : α → Type v} (l : List (Sigma β)) : AList β where entries := _ nodupKeys := nodupKeys_dedupKeys l #align list.to_alist List.toAList namespace AList @[ext] theorem ext : ∀ {s t : AList β}, s.entries = t.entries → s = t | ⟨l₁, h₁⟩, ⟨l₂, _⟩, H => by congr #align alist.ext AList.ext theorem ext_iff {s t : AList β} : s = t ↔ s.entries = t.entries := ⟨congr_arg _, ext⟩ #align alist.ext_iff AList.ext_iff instance [DecidableEq α] [∀ a, DecidableEq (β a)] : DecidableEq (AList β) := fun xs ys => by rw [ext_iff]; infer_instance def keys (s : AList β) : List α := s.entries.keys #align alist.keys AList.keys theorem keys_nodup (s : AList β) : s.keys.Nodup := s.nodupKeys #align alist.keys_nodup AList.keys_nodup instance : Membership α (AList β) := ⟨fun a s => a ∈ s.keys⟩ theorem mem_keys {a : α} {s : AList β} : a ∈ s ↔ a ∈ s.keys := Iff.rfl #align alist.mem_keys AList.mem_keys theorem mem_of_perm {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : a ∈ s₁ ↔ a ∈ s₂ := (p.map Sigma.fst).mem_iff #align alist.mem_of_perm AList.mem_of_perm instance : EmptyCollection (AList β) := ⟨⟨[], nodupKeys_nil⟩⟩ instance : Inhabited (AList β) := ⟨∅⟩ @[simp] theorem not_mem_empty (a : α) : a ∉ (∅ : AList β) := not_mem_nil a #align alist.not_mem_empty AList.not_mem_empty @[simp] theorem empty_entries : (∅ : AList β).entries = [] := rfl #align alist.empty_entries AList.empty_entries @[simp] theorem keys_empty : (∅ : AList β).keys = [] := rfl #align alist.keys_empty AList.keys_empty def singleton (a : α) (b : β a) : AList β := ⟨[⟨a, b⟩], nodupKeys_singleton _⟩ #align alist.singleton AList.singleton @[simp] theorem singleton_entries (a : α) (b : β a) : (singleton a b).entries = [Sigma.mk a b] := rfl #align alist.singleton_entries AList.singleton_entries @[simp] theorem keys_singleton (a : α) (b : β a) : (singleton a b).keys = [a] := rfl #align alist.keys_singleton AList.keys_singleton section variable [DecidableEq α] def lookup (a : α) (s : AList β) : Option (β a) := s.entries.dlookup a #align alist.lookup AList.lookup @[simp] theorem lookup_empty (a) : lookup a (∅ : AList β) = none := rfl #align alist.lookup_empty AList.lookup_empty theorem lookup_isSome {a : α} {s : AList β} : (s.lookup a).isSome ↔ a ∈ s := dlookup_isSome #align alist.lookup_is_some AList.lookup_isSome theorem lookup_eq_none {a : α} {s : AList β} : lookup a s = none ↔ a ∉ s := dlookup_eq_none #align alist.lookup_eq_none AList.lookup_eq_none theorem mem_lookup_iff {a : α} {b : β a} {s : AList β} : b ∈ lookup a s ↔ Sigma.mk a b ∈ s.entries := mem_dlookup_iff s.nodupKeys #align alist.mem_lookup_iff AList.mem_lookup_iff theorem perm_lookup {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : s₁.lookup a = s₂.lookup a := perm_dlookup _ s₁.nodupKeys s₂.nodupKeys p #align alist.perm_lookup AList.perm_lookup instance (a : α) (s : AList β) : Decidable (a ∈ s) := decidable_of_iff _ lookup_isSome
Mathlib/Data/List/AList.lean
183
190
theorem keys_subset_keys_of_entries_subset_entries {s₁ s₂ : AList β} (h : s₁.entries ⊆ s₂.entries) : s₁.keys ⊆ s₂.keys := by
intro k hk letI : DecidableEq α := Classical.decEq α have := h (mem_lookup_iff.1 (Option.get_mem (lookup_isSome.2 hk))) rw [← mem_lookup_iff, Option.mem_def] at this rw [← mem_keys, ← lookup_isSome, this] exact Option.isSome_some
import Mathlib.Topology.Bornology.Basic #align_import topology.bornology.constructions from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d" open Set Filter Bornology Function open Filter variable {α β ι : Type*} {π : ι → Type*} [Bornology α] [Bornology β] [∀ i, Bornology (π i)] instance Prod.instBornology : Bornology (α × β) where cobounded' := (cobounded α).coprod (cobounded β) le_cofinite' := @coprod_cofinite α β ▸ coprod_mono ‹Bornology α›.le_cofinite ‹Bornology β›.le_cofinite #align prod.bornology Prod.instBornology instance Pi.instBornology : Bornology (∀ i, π i) where cobounded' := Filter.coprodᵢ fun i => cobounded (π i) le_cofinite' := iSup_le fun _ ↦ (comap_mono (Bornology.le_cofinite _)).trans (comap_cofinite_le _) #align pi.bornology Pi.instBornology abbrev Bornology.induced {α β : Type*} [Bornology β] (f : α → β) : Bornology α where cobounded' := comap f (cobounded β) le_cofinite' := (comap_mono (Bornology.le_cofinite β)).trans (comap_cofinite_le _) #align bornology.induced Bornology.induced instance {p : α → Prop} : Bornology (Subtype p) := Bornology.induced (Subtype.val : Subtype p → α) namespace Bornology theorem cobounded_prod : cobounded (α × β) = (cobounded α).coprod (cobounded β) := rfl #align bornology.cobounded_prod Bornology.cobounded_prod theorem isBounded_image_fst_and_snd {s : Set (α × β)} : IsBounded (Prod.fst '' s) ∧ IsBounded (Prod.snd '' s) ↔ IsBounded s := compl_mem_coprod.symm #align bornology.is_bounded_image_fst_and_snd Bornology.isBounded_image_fst_and_snd lemma IsBounded.image_fst {s : Set (α × β)} (hs : IsBounded s) : IsBounded (Prod.fst '' s) := (isBounded_image_fst_and_snd.2 hs).1 lemma IsBounded.image_snd {s : Set (α × β)} (hs : IsBounded s) : IsBounded (Prod.snd '' s) := (isBounded_image_fst_and_snd.2 hs).2 variable {s : Set α} {t : Set β} {S : ∀ i, Set (π i)} theorem IsBounded.fst_of_prod (h : IsBounded (s ×ˢ t)) (ht : t.Nonempty) : IsBounded s := fst_image_prod s ht ▸ h.image_fst #align bornology.is_bounded.fst_of_prod Bornology.IsBounded.fst_of_prod theorem IsBounded.snd_of_prod (h : IsBounded (s ×ˢ t)) (hs : s.Nonempty) : IsBounded t := snd_image_prod hs t ▸ h.image_snd #align bornology.is_bounded.snd_of_prod Bornology.IsBounded.snd_of_prod theorem IsBounded.prod (hs : IsBounded s) (ht : IsBounded t) : IsBounded (s ×ˢ t) := isBounded_image_fst_and_snd.1 ⟨hs.subset <| fst_image_prod_subset _ _, ht.subset <| snd_image_prod_subset _ _⟩ #align bornology.is_bounded.prod Bornology.IsBounded.prod theorem isBounded_prod_of_nonempty (hne : Set.Nonempty (s ×ˢ t)) : IsBounded (s ×ˢ t) ↔ IsBounded s ∧ IsBounded t := ⟨fun h => ⟨h.fst_of_prod hne.snd, h.snd_of_prod hne.fst⟩, fun h => h.1.prod h.2⟩ #align bornology.is_bounded_prod_of_nonempty Bornology.isBounded_prod_of_nonempty theorem isBounded_prod : IsBounded (s ×ˢ t) ↔ s = ∅ ∨ t = ∅ ∨ IsBounded s ∧ IsBounded t := by rcases s.eq_empty_or_nonempty with (rfl | hs); · simp rcases t.eq_empty_or_nonempty with (rfl | ht); · simp simp only [hs.ne_empty, ht.ne_empty, isBounded_prod_of_nonempty (hs.prod ht), false_or_iff] #align bornology.is_bounded_prod Bornology.isBounded_prod theorem isBounded_prod_self : IsBounded (s ×ˢ s) ↔ IsBounded s := by rcases s.eq_empty_or_nonempty with (rfl | hs); · simp exact (isBounded_prod_of_nonempty (hs.prod hs)).trans and_self_iff #align bornology.is_bounded_prod_self Bornology.isBounded_prod_self theorem cobounded_pi : cobounded (∀ i, π i) = Filter.coprodᵢ fun i => cobounded (π i) := rfl #align bornology.cobounded_pi Bornology.cobounded_pi theorem forall_isBounded_image_eval_iff {s : Set (∀ i, π i)} : (∀ i, IsBounded (eval i '' s)) ↔ IsBounded s := compl_mem_coprodᵢ.symm #align bornology.forall_is_bounded_image_eval_iff Bornology.forall_isBounded_image_eval_iff lemma IsBounded.image_eval {s : Set (∀ i, π i)} (hs : IsBounded s) (i : ι) : IsBounded (eval i '' s) := forall_isBounded_image_eval_iff.2 hs i theorem IsBounded.pi (h : ∀ i, IsBounded (S i)) : IsBounded (pi univ S) := forall_isBounded_image_eval_iff.1 fun i => (h i).subset eval_image_univ_pi_subset #align bornology.is_bounded.pi Bornology.IsBounded.pi theorem isBounded_pi_of_nonempty (hne : (pi univ S).Nonempty) : IsBounded (pi univ S) ↔ ∀ i, IsBounded (S i) := ⟨fun H i => @eval_image_univ_pi _ _ _ i hne ▸ forall_isBounded_image_eval_iff.2 H i, IsBounded.pi⟩ #align bornology.is_bounded_pi_of_nonempty Bornology.isBounded_pi_of_nonempty
Mathlib/Topology/Bornology/Constructions.lean
126
131
theorem isBounded_pi : IsBounded (pi univ S) ↔ (∃ i, S i = ∅) ∨ ∀ i, IsBounded (S i) := by
by_cases hne : ∃ i, S i = ∅ · simp [hne, univ_pi_eq_empty_iff.2 hne] · simp only [hne, false_or_iff] simp only [not_exists, ← Ne.eq_def, ← nonempty_iff_ne_empty, ← univ_pi_nonempty_iff] at hne exact isBounded_pi_of_nonempty hne
import Mathlib.Combinatorics.SimpleGraph.Connectivity import Mathlib.Data.Nat.Lattice #align_import combinatorics.simple_graph.metric from "leanprover-community/mathlib"@"352ecfe114946c903338006dd3287cb5a9955ff2" namespace SimpleGraph variable {V : Type*} (G : SimpleGraph V) noncomputable def dist (u v : V) : ℕ := sInf (Set.range (Walk.length : G.Walk u v → ℕ)) #align simple_graph.dist SimpleGraph.dist variable {G} protected theorem Reachable.exists_walk_of_dist {u v : V} (hr : G.Reachable u v) : ∃ p : G.Walk u v, p.length = G.dist u v := Nat.sInf_mem (Set.range_nonempty_iff_nonempty.mpr hr) #align simple_graph.reachable.exists_walk_of_dist SimpleGraph.Reachable.exists_walk_of_dist protected theorem Connected.exists_walk_of_dist (hconn : G.Connected) (u v : V) : ∃ p : G.Walk u v, p.length = G.dist u v := (hconn u v).exists_walk_of_dist #align simple_graph.connected.exists_walk_of_dist SimpleGraph.Connected.exists_walk_of_dist theorem dist_le {u v : V} (p : G.Walk u v) : G.dist u v ≤ p.length := Nat.sInf_le ⟨p, rfl⟩ #align simple_graph.dist_le SimpleGraph.dist_le @[simp] theorem dist_eq_zero_iff_eq_or_not_reachable {u v : V} : G.dist u v = 0 ↔ u = v ∨ ¬G.Reachable u v := by simp [dist, Nat.sInf_eq_zero, Reachable] #align simple_graph.dist_eq_zero_iff_eq_or_not_reachable SimpleGraph.dist_eq_zero_iff_eq_or_not_reachable theorem dist_self {v : V} : dist G v v = 0 := by simp #align simple_graph.dist_self SimpleGraph.dist_self protected theorem Reachable.dist_eq_zero_iff {u v : V} (hr : G.Reachable u v) : G.dist u v = 0 ↔ u = v := by simp [hr] #align simple_graph.reachable.dist_eq_zero_iff SimpleGraph.Reachable.dist_eq_zero_iff protected theorem Reachable.pos_dist_of_ne {u v : V} (h : G.Reachable u v) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by simp [h, hne]) #align simple_graph.reachable.pos_dist_of_ne SimpleGraph.Reachable.pos_dist_of_ne protected theorem Connected.dist_eq_zero_iff (hconn : G.Connected) {u v : V} : G.dist u v = 0 ↔ u = v := by simp [hconn u v] #align simple_graph.connected.dist_eq_zero_iff SimpleGraph.Connected.dist_eq_zero_iff protected theorem Connected.pos_dist_of_ne {u v : V} (hconn : G.Connected) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by intro h; exact False.elim (hne (hconn.dist_eq_zero_iff.mp h))) #align simple_graph.connected.pos_dist_of_ne SimpleGraph.Connected.pos_dist_of_ne theorem dist_eq_zero_of_not_reachable {u v : V} (h : ¬G.Reachable u v) : G.dist u v = 0 := by simp [h] #align simple_graph.dist_eq_zero_of_not_reachable SimpleGraph.dist_eq_zero_of_not_reachable
Mathlib/Combinatorics/SimpleGraph/Metric.lean
99
102
theorem nonempty_of_pos_dist {u v : V} (h : 0 < G.dist u v) : (Set.univ : Set (G.Walk u v)).Nonempty := by
simpa [Set.range_nonempty_iff_nonempty, Set.nonempty_iff_univ_nonempty] using Nat.nonempty_of_pos_sInf h
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Normed.Group.Lemmas import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.Analysis.NormedSpace.AffineIsometry import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Analysis.NormedSpace.RieszLemma import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Topology.Algebra.Module.FiniteDimension import Mathlib.Topology.Algebra.InfiniteSum.Module import Mathlib.Topology.Instances.Matrix #align_import analysis.normed_space.finite_dimension from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" universe u v w x noncomputable section open Set FiniteDimensional TopologicalSpace Filter Asymptotics Classical Topology NNReal Metric section CompleteField variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type w} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type x} [AddCommGroup F'] [Module 𝕜 F'] [TopologicalSpace F'] [TopologicalAddGroup F'] [ContinuousSMul 𝕜 F'] [CompleteSpace 𝕜]
Mathlib/Analysis/NormedSpace/FiniteDimension.lean
163
176
theorem ContinuousLinearMap.continuous_det : Continuous fun f : E →L[𝕜] E => f.det := by
change Continuous fun f : E →L[𝕜] E => LinearMap.det (f : E →ₗ[𝕜] E) -- Porting note: this could be easier with `det_cases` by_cases h : ∃ s : Finset E, Nonempty (Basis (↥s) 𝕜 E) · rcases h with ⟨s, ⟨b⟩⟩ haveI : FiniteDimensional 𝕜 E := FiniteDimensional.of_fintype_basis b simp_rw [LinearMap.det_eq_det_toMatrix_of_finset b] refine Continuous.matrix_det ?_ exact ((LinearMap.toMatrix b b).toLinearMap.comp (ContinuousLinearMap.coeLM 𝕜)).continuous_of_finiteDimensional · -- Porting note: was `unfold LinearMap.det` rw [LinearMap.det_def] simpa only [h, MonoidHom.one_apply, dif_neg, not_false_iff] using continuous_const
import Mathlib.Algebra.BigOperators.Module import Mathlib.Algebra.Order.Field.Basic import Mathlib.Order.Filter.ModEq import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Data.List.TFAE import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Set Function Filter Finset Metric Asymptotics open scoped Classical open Topology Nat uniformity NNReal ENNReal variable {α : Type*} {β : Type*} {ι : Type*} theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop := tendsto_abs_atTop_atTop #align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} : (∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f | ⟨r, hr⟩ => by refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩ · exact fun i ↦ norm_nonneg _ · simpa only using hr #align summable_of_absolute_convergence_real summable_of_absolute_convergence_real theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] : Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) := tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx #align tendsto_norm_zero' tendsto_norm_zero' namespace NormedField theorem tendsto_norm_inverse_nhdsWithin_0_atTop {𝕜 : Type*} [NormedDivisionRing 𝕜] : Tendsto (fun x : 𝕜 ↦ ‖x⁻¹‖) (𝓝[≠] 0) atTop := (tendsto_inv_zero_atTop.comp tendsto_norm_zero').congr fun x ↦ (norm_inv x).symm #align normed_field.tendsto_norm_inverse_nhds_within_0_at_top NormedField.tendsto_norm_inverse_nhdsWithin_0_atTop theorem tendsto_norm_zpow_nhdsWithin_0_atTop {𝕜 : Type*} [NormedDivisionRing 𝕜] {m : ℤ} (hm : m < 0) : Tendsto (fun x : 𝕜 ↦ ‖x ^ m‖) (𝓝[≠] 0) atTop := by rcases neg_surjective m with ⟨m, rfl⟩ rw [neg_lt_zero] at hm; lift m to ℕ using hm.le; rw [Int.natCast_pos] at hm simp only [norm_pow, zpow_neg, zpow_natCast, ← inv_pow] exact (tendsto_pow_atTop hm.ne').comp NormedField.tendsto_norm_inverse_nhdsWithin_0_atTop #align normed_field.tendsto_norm_zpow_nhds_within_0_at_top NormedField.tendsto_norm_zpow_nhdsWithin_0_atTop theorem tendsto_zero_smul_of_tendsto_zero_of_bounded {ι 𝕜 𝔸 : Type*} [NormedDivisionRing 𝕜] [NormedAddCommGroup 𝔸] [Module 𝕜 𝔸] [BoundedSMul 𝕜 𝔸] {l : Filter ι} {ε : ι → 𝕜} {f : ι → 𝔸} (hε : Tendsto ε l (𝓝 0)) (hf : Filter.IsBoundedUnder (· ≤ ·) l (norm ∘ f)) : Tendsto (ε • f) l (𝓝 0) := by rw [← isLittleO_one_iff 𝕜] at hε ⊢ simpa using IsLittleO.smul_isBigO hε (hf.isBigO_const (one_ne_zero : (1 : 𝕜) ≠ 0)) #align normed_field.tendsto_zero_smul_of_tendsto_zero_of_bounded NormedField.tendsto_zero_smul_of_tendsto_zero_of_bounded @[simp]
Mathlib/Analysis/SpecificLimits/Normed.lean
81
86
theorem continuousAt_zpow {𝕜 : Type*} [NontriviallyNormedField 𝕜] {m : ℤ} {x : 𝕜} : ContinuousAt (fun x ↦ x ^ m) x ↔ x ≠ 0 ∨ 0 ≤ m := by
refine ⟨?_, continuousAt_zpow₀ _ _⟩ contrapose!; rintro ⟨rfl, hm⟩ hc exact not_tendsto_atTop_of_tendsto_nhds (hc.tendsto.mono_left nhdsWithin_le_nhds).norm (tendsto_norm_zpow_nhdsWithin_0_atTop hm)
import Batteries.Data.List.Lemmas import Batteries.Tactic.Classical import Mathlib.Tactic.TypeStar import Mathlib.Mathport.Rename #align_import data.list.tfae from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" namespace List def TFAE (l : List Prop) : Prop := ∀ x ∈ l, ∀ y ∈ l, x ↔ y #align list.tfae List.TFAE theorem tfae_nil : TFAE [] := forall_mem_nil _ #align list.tfae_nil List.tfae_nil @[simp] theorem tfae_singleton (p) : TFAE [p] := by simp [TFAE, -eq_iff_iff] #align list.tfae_singleton List.tfae_singleton theorem tfae_cons_of_mem {a b} {l : List Prop} (h : b ∈ l) : TFAE (a :: l) ↔ (a ↔ b) ∧ TFAE l := ⟨fun H => ⟨H a (by simp) b (Mem.tail a h), fun p hp q hq => H _ (Mem.tail a hp) _ (Mem.tail a hq)⟩, by rintro ⟨ab, H⟩ p (_ | ⟨_, hp⟩) q (_ | ⟨_, hq⟩) · rfl · exact ab.trans (H _ h _ hq) · exact (ab.trans (H _ h _ hp)).symm · exact H _ hp _ hq⟩ #align list.tfae_cons_of_mem List.tfae_cons_of_mem theorem tfae_cons_cons {a b} {l : List Prop} : TFAE (a :: b :: l) ↔ (a ↔ b) ∧ TFAE (b :: l) := tfae_cons_of_mem (Mem.head _) #align list.tfae_cons_cons List.tfae_cons_cons @[simp] theorem tfae_cons_self {a} {l : List Prop} : TFAE (a :: a :: l) ↔ TFAE (a :: l) := by simp [tfae_cons_cons] theorem tfae_of_forall (b : Prop) (l : List Prop) (h : ∀ a ∈ l, a ↔ b) : TFAE l := fun _a₁ h₁ _a₂ h₂ => (h _ h₁).trans (h _ h₂).symm #align list.tfae_of_forall List.tfae_of_forall theorem tfae_of_cycle {a b} {l : List Prop} (h_chain : List.Chain (· → ·) a (b :: l)) (h_last : getLastD l b → a) : TFAE (a :: b :: l) := by induction l generalizing a b with | nil => simp_all [tfae_cons_cons, iff_def] | cons c l IH => simp only [tfae_cons_cons, getLastD_cons, tfae_singleton, and_true, chain_cons, Chain.nil] at * rcases h_chain with ⟨ab, ⟨bc, ch⟩⟩ have := IH ⟨bc, ch⟩ (ab ∘ h_last) exact ⟨⟨ab, h_last ∘ (this.2 c (.head _) _ (getLastD_mem_cons _ _)).1 ∘ bc⟩, this⟩ #align list.tfae_of_cycle List.tfae_of_cycle theorem TFAE.out {l} (h : TFAE l) (n₁ n₂) {a b} (h₁ : List.get? l n₁ = some a := by rfl) (h₂ : List.get? l n₂ = some b := by rfl) : a ↔ b := h _ (List.get?_mem h₁) _ (List.get?_mem h₂) #align list.tfae.out List.TFAE.out theorem forall_tfae {α : Type*} (l : List (α → Prop)) (H : ∀ a : α, (l.map (fun p ↦ p a)).TFAE) : (l.map (fun p ↦ ∀ a, p a)).TFAE := by simp only [TFAE, List.forall_mem_map_iff] intros p₁ hp₁ p₂ hp₂ exact forall_congr' fun a ↦ H a (p₁ a) (mem_map_of_mem (fun p ↦ p a) hp₁) (p₂ a) (mem_map_of_mem (fun p ↦ p a) hp₂)
Mathlib/Data/List/TFAE.lean
110
115
theorem exists_tfae {α : Type*} (l : List (α → Prop)) (H : ∀ a : α, (l.map (fun p ↦ p a)).TFAE) : (l.map (fun p ↦ ∃ a, p a)).TFAE := by
simp only [TFAE, List.forall_mem_map_iff] intros p₁ hp₁ p₂ hp₂ exact exists_congr fun a ↦ H a (p₁ a) (mem_map_of_mem (fun p ↦ p a) hp₁) (p₂ a) (mem_map_of_mem (fun p ↦ p a) hp₂)
import Mathlib.Data.SetLike.Basic import Mathlib.Data.Finset.Preimage import Mathlib.ModelTheory.Semantics #align_import model_theory.definability from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v w u₁ namespace Set variable {M : Type w} (A : Set M) (L : FirstOrder.Language.{u, v}) [L.Structure M] open FirstOrder FirstOrder.Language FirstOrder.Language.Structure variable {α : Type u₁} {β : Type*} def Definable (s : Set (α → M)) : Prop := ∃ φ : L[[A]].Formula α, s = setOf φ.Realize #align set.definable Set.Definable variable {L} {A} {B : Set M} {s : Set (α → M)} theorem Definable.map_expansion {L' : FirstOrder.Language} [L'.Structure M] (h : A.Definable L s) (φ : L →ᴸ L') [φ.IsExpansionOn M] : A.Definable L' s := by obtain ⟨ψ, rfl⟩ := h refine ⟨(φ.addConstants A).onFormula ψ, ?_⟩ ext x simp only [mem_setOf_eq, LHom.realize_onFormula] #align set.definable.map_expansion Set.Definable.map_expansion
Mathlib/ModelTheory/Definability.lean
60
73
theorem definable_iff_exists_formula_sum : A.Definable L s ↔ ∃ φ : L.Formula (A ⊕ α), s = {v | φ.Realize (Sum.elim (↑) v)} := by
rw [Definable, Equiv.exists_congr_left (BoundedFormula.constantsVarsEquiv)] refine exists_congr (fun φ => iff_iff_eq.2 (congr_arg (s = ·) ?_)) ext simp only [Formula.Realize, BoundedFormula.constantsVarsEquiv, constantsOn, mk₂_Relations, BoundedFormula.mapTermRelEquiv_symm_apply, mem_setOf_eq] refine BoundedFormula.realize_mapTermRel_id ?_ (fun _ _ _ => rfl) intros simp only [Term.constantsVarsEquivLeft_symm_apply, Term.realize_varsToConstants, coe_con, Term.realize_relabel] congr ext a rcases a with (_ | _) | _ <;> rfl
import Mathlib.NumberTheory.Padics.PadicIntegers import Mathlib.RingTheory.ZMod #align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" noncomputable section open scoped Classical open Nat LocalRing Padic namespace PadicInt variable {p : ℕ} [hp_prime : Fact p.Prime] section RingHoms variable (p) (r : ℚ) def modPart : ℤ := r.num * gcdA r.den p % p #align padic_int.mod_part PadicInt.modPart variable {p}
Mathlib/NumberTheory/Padics/RingHoms.lean
72
75
theorem modPart_lt_p : modPart p r < p := by
convert Int.emod_lt _ _ · simp · exact mod_cast hp_prime.1.ne_zero
import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.FractionalIdeal.Basic #align_import ring_theory.fractional_ideal from "leanprover-community/mathlib"@"ed90a7d327c3a5caf65a6faf7e8a0d63c4605df7" open IsLocalization Pointwise nonZeroDivisors namespace FractionalIdeal open Set Submodule variable {R : Type*} [CommRing R] {S : Submonoid R} {P : Type*} [CommRing P] variable [Algebra R P] [loc : IsLocalization S P] section variable {P' : Type*} [CommRing P'] [Algebra R P'] [loc' : IsLocalization S P'] variable {P'' : Type*} [CommRing P''] [Algebra R P''] [loc'' : IsLocalization S P''] theorem _root_.IsFractional.map (g : P →ₐ[R] P') {I : Submodule R P} : IsFractional S I → IsFractional S (Submodule.map g.toLinearMap I) | ⟨a, a_nonzero, hI⟩ => ⟨a, a_nonzero, fun b hb => by obtain ⟨b', b'_mem, hb'⟩ := Submodule.mem_map.mp hb rw [AlgHom.toLinearMap_apply] at hb' obtain ⟨x, hx⟩ := hI b' b'_mem use x rw [← g.commutes, hx, g.map_smul, hb']⟩ #align is_fractional.map IsFractional.map def map (g : P →ₐ[R] P') : FractionalIdeal S P → FractionalIdeal S P' := fun I => ⟨Submodule.map g.toLinearMap I, I.isFractional.map g⟩ #align fractional_ideal.map FractionalIdeal.map @[simp, norm_cast] theorem coe_map (g : P →ₐ[R] P') (I : FractionalIdeal S P) : ↑(map g I) = Submodule.map g.toLinearMap I := rfl #align fractional_ideal.coe_map FractionalIdeal.coe_map @[simp] theorem mem_map {I : FractionalIdeal S P} {g : P →ₐ[R] P'} {y : P'} : y ∈ I.map g ↔ ∃ x, x ∈ I ∧ g x = y := Submodule.mem_map #align fractional_ideal.mem_map FractionalIdeal.mem_map variable (I J : FractionalIdeal S P) (g : P →ₐ[R] P') @[simp] theorem map_id : I.map (AlgHom.id _ _) = I := coeToSubmodule_injective (Submodule.map_id (I : Submodule R P)) #align fractional_ideal.map_id FractionalIdeal.map_id @[simp] theorem map_comp (g' : P' →ₐ[R] P'') : I.map (g'.comp g) = (I.map g).map g' := coeToSubmodule_injective (Submodule.map_comp g.toLinearMap g'.toLinearMap I) #align fractional_ideal.map_comp FractionalIdeal.map_comp @[simp, norm_cast] theorem map_coeIdeal (I : Ideal R) : (I : FractionalIdeal S P).map g = I := by ext x simp only [mem_coeIdeal] constructor · rintro ⟨_, ⟨y, hy, rfl⟩, rfl⟩ exact ⟨y, hy, (g.commutes y).symm⟩ · rintro ⟨y, hy, rfl⟩ exact ⟨_, ⟨y, hy, rfl⟩, g.commutes y⟩ #align fractional_ideal.map_coe_ideal FractionalIdeal.map_coeIdeal @[simp] theorem map_one : (1 : FractionalIdeal S P).map g = 1 := map_coeIdeal g ⊤ #align fractional_ideal.map_one FractionalIdeal.map_one @[simp] theorem map_zero : (0 : FractionalIdeal S P).map g = 0 := map_coeIdeal g 0 #align fractional_ideal.map_zero FractionalIdeal.map_zero @[simp] theorem map_add : (I + J).map g = I.map g + J.map g := coeToSubmodule_injective (Submodule.map_sup _ _ _) #align fractional_ideal.map_add FractionalIdeal.map_add @[simp] theorem map_mul : (I * J).map g = I.map g * J.map g := by simp only [mul_def] exact coeToSubmodule_injective (Submodule.map_mul _ _ _) #align fractional_ideal.map_mul FractionalIdeal.map_mul @[simp]
Mathlib/RingTheory/FractionalIdeal/Operations.lean
123
124
theorem map_map_symm (g : P ≃ₐ[R] P') : (I.map (g : P →ₐ[R] P')).map (g.symm : P' →ₐ[R] P) = I := by
rw [← map_comp, g.symm_comp, map_id]
import Mathlib.NumberTheory.Liouville.Basic import Mathlib.Topology.Baire.Lemmas import Mathlib.Topology.Baire.LocallyCompactRegular import Mathlib.Topology.Instances.Irrational #align_import number_theory.liouville.residual from "leanprover-community/mathlib"@"32b08ef840dd25ca2e47e035c5da03ce16d2dc3c" open scoped Filter open Filter Set Metric theorem setOf_liouville_eq_iInter_iUnion : { x | Liouville x } = ⋂ n : ℕ, ⋃ (a : ℤ) (b : ℤ) (_ : 1 < b), ball ((a : ℝ) / b) (1 / (b : ℝ) ^ n) \ {(a : ℝ) / b} := by ext x simp only [mem_iInter, mem_iUnion, Liouville, mem_setOf_eq, exists_prop, mem_diff, mem_singleton_iff, mem_ball, Real.dist_eq, and_comm] #align set_of_liouville_eq_Inter_Union setOf_liouville_eq_iInter_iUnion theorem IsGδ.setOf_liouville : IsGδ { x | Liouville x } := by rw [setOf_liouville_eq_iInter_iUnion] refine .iInter fun n => IsOpen.isGδ ?_ refine isOpen_iUnion fun a => isOpen_iUnion fun b => isOpen_iUnion fun _hb => ?_ exact isOpen_ball.inter isClosed_singleton.isOpen_compl set_option linter.uppercaseLean3 false in #align is_Gδ_set_of_liouville IsGδ.setOf_liouville @[deprecated (since := "2024-02-15")] alias isGδ_setOf_liouville := IsGδ.setOf_liouville theorem setOf_liouville_eq_irrational_inter_iInter_iUnion : { x | Liouville x } = { x | Irrational x } ∩ ⋂ n : ℕ, ⋃ (a : ℤ) (b : ℤ) (hb : 1 < b), ball (a / b) (1 / (b : ℝ) ^ n) := by refine Subset.antisymm ?_ ?_ · refine subset_inter (fun x hx => hx.irrational) ?_ rw [setOf_liouville_eq_iInter_iUnion] exact iInter_mono fun n => iUnion₂_mono fun a b => iUnion_mono fun _hb => diff_subset · simp only [inter_iInter, inter_iUnion, setOf_liouville_eq_iInter_iUnion] refine iInter_mono fun n => iUnion₂_mono fun a b => iUnion_mono fun hb => ?_ rw [inter_comm] exact diff_subset_diff Subset.rfl (singleton_subset_iff.2 ⟨a / b, by norm_cast⟩) #align set_of_liouville_eq_irrational_inter_Inter_Union setOf_liouville_eq_irrational_inter_iInter_iUnion
Mathlib/NumberTheory/Liouville/Residual.lean
59
72
theorem eventually_residual_liouville : ∀ᶠ x in residual ℝ, Liouville x := by
rw [Filter.Eventually, setOf_liouville_eq_irrational_inter_iInter_iUnion] refine eventually_residual_irrational.and ?_ refine residual_of_dense_Gδ ?_ (Rat.denseEmbedding_coe_real.dense.mono ?_) · exact .iInter fun n => IsOpen.isGδ <| isOpen_iUnion fun a => isOpen_iUnion fun b => isOpen_iUnion fun _hb => isOpen_ball · rintro _ ⟨r, rfl⟩ simp only [mem_iInter, mem_iUnion] refine fun n => ⟨r.num * 2, r.den * 2, ?_, ?_⟩ · have := Int.ofNat_le.2 r.pos; rw [Int.ofNat_one] at this; omega · convert @mem_ball_self ℝ _ (r : ℝ) _ _ · push_cast; norm_cast; simp [Rat.divInt_mul_right (two_ne_zero), Rat.mkRat_self] · refine one_div_pos.2 (pow_pos (Int.cast_pos.2 ?_) _) exact mul_pos (Int.natCast_pos.2 r.pos) zero_lt_two
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.LinearAlgebra.Matrix.ZPow #align_import linear_algebra.matrix.hermitian from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" namespace Matrix variable {α β : Type*} {m n : Type*} {A : Matrix n n α} open scoped Matrix local notation "⟪" x ", " y "⟫" => @inner α _ _ x y section Star variable [Star α] [Star β] def IsHermitian (A : Matrix n n α) : Prop := Aᴴ = A #align matrix.is_hermitian Matrix.IsHermitian instance (A : Matrix n n α) [Decidable (Aᴴ = A)] : Decidable (IsHermitian A) := inferInstanceAs <| Decidable (_ = _) theorem IsHermitian.eq {A : Matrix n n α} (h : A.IsHermitian) : Aᴴ = A := h #align matrix.is_hermitian.eq Matrix.IsHermitian.eq protected theorem IsHermitian.isSelfAdjoint {A : Matrix n n α} (h : A.IsHermitian) : IsSelfAdjoint A := h #align matrix.is_hermitian.is_self_adjoint Matrix.IsHermitian.isSelfAdjoint -- @[ext] -- Porting note: incorrect ext, not a structure or a lemma proving x = y
Mathlib/LinearAlgebra/Matrix/Hermitian.lean
56
57
theorem IsHermitian.ext {A : Matrix n n α} : (∀ i j, star (A j i) = A i j) → A.IsHermitian := by
intro h; ext i j; exact h i j
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd" namespace Polynomial open Polynomial Finsupp Finset open Polynomial section Semiring variable {R : Type*} [Semiring R] {f : R[X]} def revAtFun (N i : ℕ) : ℕ := ite (i ≤ N) (N - i) i #align polynomial.rev_at_fun Polynomial.revAtFun theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by unfold revAtFun split_ifs with h j · exact tsub_tsub_cancel_of_le h · exfalso apply j exact Nat.sub_le N i · rfl #align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by intro a b hab rw [← @revAtFun_invol N a, hab, revAtFun_invol] #align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj def revAt (N : ℕ) : Function.Embedding ℕ ℕ where toFun i := ite (i ≤ N) (N - i) i inj' := revAtFun_inj #align polynomial.rev_at Polynomial.revAt @[simp] theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i := rfl #align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq @[simp] theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i := revAtFun_invol #align polynomial.rev_at_invol Polynomial.revAt_invol @[simp] theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i := if_pos H #align polynomial.rev_at_le Polynomial.revAt_le lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h] theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) : revAt (N + O) (n + o) = revAt N n + revAt O o := by rcases Nat.le.dest hn with ⟨n', rfl⟩ rcases Nat.le.dest ho with ⟨o', rfl⟩ repeat' rw [revAt_le (le_add_right rfl.le)] rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)] repeat' rw [add_tsub_cancel_left] #align polynomial.rev_at_add Polynomial.revAt_add -- @[simp] -- Porting note (#10618): simp can prove this theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp #align polynomial.rev_at_zero Polynomial.revAt_zero noncomputable def reflect (N : ℕ) : R[X] → R[X] | ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩ #align polynomial.reflect Polynomial.reflect theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image] #align polynomial.reflect_support Polynomial.reflect_support @[simp] theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by rcases f with ⟨f⟩ simp only [reflect, coeff] calc Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by rw [revAt_invol] _ = f (revAt N i) := Finsupp.embDomain_apply _ _ _ #align polynomial.coeff_reflect Polynomial.coeff_reflect @[simp] theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 := rfl #align polynomial.reflect_zero Polynomial.reflect_zero @[simp] theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero] #align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff @[simp]
Mathlib/Algebra/Polynomial/Reverse.lean
133
135
theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by
ext simp only [coeff_add, coeff_reflect]
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]
Mathlib/Analysis/Convex/Join.lean
79
81
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]
import Mathlib.Topology.FiberBundle.Constructions import Mathlib.Topology.VectorBundle.Basic import Mathlib.Analysis.NormedSpace.OperatorNorm.Prod #align_import topology.vector_bundle.constructions from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" noncomputable section open scoped Classical open Bundle Set FiberBundle namespace Bundle.Trivial variable (𝕜 : Type*) (B : Type*) (F : Type*) [NontriviallyNormedField 𝕜] [NormedAddCommGroup F] [NormedSpace 𝕜 F] [TopologicalSpace B] instance trivialization.isLinear : (trivialization B F).IsLinear 𝕜 where linear _ _ := ⟨fun _ _ => rfl, fun _ _ => rfl⟩ #align bundle.trivial.trivialization.is_linear Bundle.Trivial.trivialization.isLinear variable {𝕜}
Mathlib/Topology/VectorBundle/Constructions.lean
50
55
theorem trivialization.coordChangeL (b : B) : (trivialization B F).coordChangeL 𝕜 (trivialization B F) b = ContinuousLinearEquiv.refl 𝕜 F := by
ext v rw [Trivialization.coordChangeL_apply'] exacts [rfl, ⟨mem_univ _, mem_univ _⟩]
import Mathlib.Algebra.Group.Equiv.TypeTags import Mathlib.Data.ZMod.Quotient import Mathlib.RingTheory.DedekindDomain.AdicValuation #align_import ring_theory.dedekind_domain.selmer_group from "leanprover-community/mathlib"@"2032a878972d5672e7c27c957e7a6e297b044973" set_option quotPrecheck false local notation K "/" n => Kˣ ⧸ (powMonoidHom n : Kˣ →* Kˣ).range namespace IsDedekindDomain noncomputable section open scoped Classical DiscreteValuation nonZeroDivisors universe u v variable {R : Type u} [CommRing R] [IsDedekindDomain R] {K : Type v} [Field K] [Algebra R K] [IsFractionRing R K] (v : HeightOneSpectrum R) namespace HeightOneSpectrum def valuationOfNeZeroToFun (x : Kˣ) : Multiplicative ℤ := let hx := IsLocalization.sec R⁰ (x : K) Multiplicative.ofAdd <| (-(Associates.mk v.asIdeal).count (Associates.mk <| Ideal.span {hx.fst}).factors : ℤ) - (-(Associates.mk v.asIdeal).count (Associates.mk <| Ideal.span {(hx.snd : R)}).factors : ℤ) #align is_dedekind_domain.height_one_spectrum.valuation_of_ne_zero_to_fun IsDedekindDomain.HeightOneSpectrum.valuationOfNeZeroToFun @[simp] theorem valuationOfNeZeroToFun_eq (x : Kˣ) : (v.valuationOfNeZeroToFun x : ℤₘ₀) = v.valuation (x : K) := by rw [show v.valuation (x : K) = _ * _ by rfl] rw [Units.val_inv_eq_inv_val] change _ = ite _ _ _ * (ite _ _ _)⁻¹ simp_rw [IsLocalization.toLocalizationMap_sec, SubmonoidClass.coe_subtype, if_neg <| IsLocalization.sec_fst_ne_zero le_rfl x.ne_zero, if_neg (nonZeroDivisors.coe_ne_zero _), valuationOfNeZeroToFun, ofAdd_sub, ofAdd_neg, div_inv_eq_mul, WithZero.coe_mul, WithZero.coe_inv, inv_inv] #align is_dedekind_domain.height_one_spectrum.valuation_of_ne_zero_to_fun_eq IsDedekindDomain.HeightOneSpectrum.valuationOfNeZeroToFun_eq def valuationOfNeZero : Kˣ →* Multiplicative ℤ where toFun := v.valuationOfNeZeroToFun map_one' := by rw [← WithZero.coe_inj, valuationOfNeZeroToFun_eq]; exact map_one _ map_mul' _ _ := by rw [← WithZero.coe_inj, WithZero.coe_mul] simp only [valuationOfNeZeroToFun_eq]; exact map_mul _ _ _ #align is_dedekind_domain.height_one_spectrum.valuation_of_ne_zero IsDedekindDomain.HeightOneSpectrum.valuationOfNeZero @[simp] theorem valuationOfNeZero_eq (x : Kˣ) : (v.valuationOfNeZero x : ℤₘ₀) = v.valuation (x : K) := valuationOfNeZeroToFun_eq v x #align is_dedekind_domain.height_one_spectrum.valuation_of_ne_zero_eq IsDedekindDomain.HeightOneSpectrum.valuationOfNeZero_eq @[simp]
Mathlib/RingTheory/DedekindDomain/SelmerGroup.lean
120
131
theorem valuation_of_unit_eq (x : Rˣ) : v.valuationOfNeZero (Units.map (algebraMap R K : R →* K) x) = 1 := by
rw [← WithZero.coe_inj, valuationOfNeZero_eq, Units.coe_map, eq_iff_le_not_lt] constructor · exact v.valuation_le_one x · cases' x with x _ hx _ change ¬v.valuation (algebraMap R K x) < 1 apply_fun v.intValuation at hx rw [map_one, map_mul] at hx rw [not_lt, ← hx, ← mul_one <| v.valuation _, valuation_of_algebraMap, mul_le_mul_left₀ <| left_ne_zero_of_mul_eq_one hx] exact v.int_valuation_le_one _
import Mathlib.GroupTheory.Coxeter.Length import Mathlib.Data.ZMod.Parity namespace CoxeterSystem open List Matrix Function variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd local prefix:100 "ℓ" => cs.length def IsReflection (t : W) : Prop := ∃ w i, t = w * s i * w⁻¹ theorem isReflection_simple (i : B) : cs.IsReflection (s i) := by use 1, i; simp namespace IsReflection variable {cs} variable {t : W} (ht : cs.IsReflection t) theorem pow_two : t ^ 2 = 1 := by rcases ht with ⟨w, i, rfl⟩ simp
Mathlib/GroupTheory/Coxeter/Inversion.lean
72
74
theorem mul_self : t * t = 1 := by
rcases ht with ⟨w, i, rfl⟩ simp
import Mathlib.Algebra.Associated import Mathlib.NumberTheory.Divisors #align_import algebra.is_prime_pow from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {R : Type*} [CommMonoidWithZero R] (n p : R) (k : ℕ) def IsPrimePow : Prop := ∃ (p : R) (k : ℕ), Prime p ∧ 0 < k ∧ p ^ k = n #align is_prime_pow IsPrimePow theorem isPrimePow_def : IsPrimePow n ↔ ∃ (p : R) (k : ℕ), Prime p ∧ 0 < k ∧ p ^ k = n := Iff.rfl #align is_prime_pow_def isPrimePow_def theorem isPrimePow_iff_pow_succ : IsPrimePow n ↔ ∃ (p : R) (k : ℕ), Prime p ∧ p ^ (k + 1) = n := (isPrimePow_def _).trans ⟨fun ⟨p, k, hp, hk, hn⟩ => ⟨_, _, hp, by rwa [Nat.sub_add_cancel hk]⟩, fun ⟨p, k, hp, hn⟩ => ⟨_, _, hp, Nat.succ_pos', hn⟩⟩ #align is_prime_pow_iff_pow_succ isPrimePow_iff_pow_succ theorem not_isPrimePow_zero [NoZeroDivisors R] : ¬IsPrimePow (0 : R) := by simp only [isPrimePow_def, not_exists, not_and', and_imp] intro x n _hn hx rw [pow_eq_zero hx] simp #align not_is_prime_pow_zero not_isPrimePow_zero theorem IsPrimePow.not_unit {n : R} (h : IsPrimePow n) : ¬IsUnit n := let ⟨_p, _k, hp, hk, hn⟩ := h hn ▸ (isUnit_pow_iff hk.ne').not.mpr hp.not_unit #align is_prime_pow.not_unit IsPrimePow.not_unit theorem IsUnit.not_isPrimePow {n : R} (h : IsUnit n) : ¬IsPrimePow n := fun h' => h'.not_unit h #align is_unit.not_is_prime_pow IsUnit.not_isPrimePow theorem not_isPrimePow_one : ¬IsPrimePow (1 : R) := isUnit_one.not_isPrimePow #align not_is_prime_pow_one not_isPrimePow_one theorem Prime.isPrimePow {p : R} (hp : Prime p) : IsPrimePow p := ⟨p, 1, hp, zero_lt_one, by simp⟩ #align prime.is_prime_pow Prime.isPrimePow theorem IsPrimePow.pow {n : R} (hn : IsPrimePow n) {k : ℕ} (hk : k ≠ 0) : IsPrimePow (n ^ k) := let ⟨p, k', hp, hk', hn⟩ := hn ⟨p, k * k', hp, mul_pos hk.bot_lt hk', by rw [pow_mul', hn]⟩ #align is_prime_pow.pow IsPrimePow.pow theorem IsPrimePow.ne_zero [NoZeroDivisors R] {n : R} (h : IsPrimePow n) : n ≠ 0 := fun t => not_isPrimePow_zero (t ▸ h) #align is_prime_pow.ne_zero IsPrimePow.ne_zero theorem IsPrimePow.ne_one {n : R} (h : IsPrimePow n) : n ≠ 1 := fun t => not_isPrimePow_one (t ▸ h) #align is_prime_pow.ne_one IsPrimePow.ne_one section Nat
Mathlib/Algebra/IsPrimePow.lean
76
77
theorem isPrimePow_nat_iff (n : ℕ) : IsPrimePow n ↔ ∃ p k : ℕ, Nat.Prime p ∧ 0 < k ∧ p ^ k = n := by
simp only [isPrimePow_def, Nat.prime_iff]
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 ReplaceVertex def replaceVertex : SimpleGraph V where Adj v w := if v = t then if w = t then False else G.Adj s w else if w = t then G.Adj v s else G.Adj v w symm v w := by dsimp only; split_ifs <;> simp [adj_comm] lemma not_adj_replaceVertex_same : ¬(G.replaceVertex s t).Adj s t := by simp [replaceVertex] @[simp] lemma replaceVertex_self : G.replaceVertex s s = G := by ext; unfold replaceVertex; aesop (add simp or_iff_not_imp_left) variable {t} lemma adj_replaceVertex_iff_of_ne_left {w : V} (hw : w ≠ t) : (G.replaceVertex s t).Adj s w ↔ G.Adj s w := by simp [replaceVertex, hw] lemma adj_replaceVertex_iff_of_ne_right {w : V} (hw : w ≠ t) : (G.replaceVertex s t).Adj t w ↔ G.Adj s w := by simp [replaceVertex, hw] lemma adj_replaceVertex_iff_of_ne {v w : V} (hv : v ≠ t) (hw : w ≠ t) : (G.replaceVertex s t).Adj v w ↔ G.Adj v w := by simp [replaceVertex, hv, hw] variable {s}
Mathlib/Combinatorics/SimpleGraph/Operations.lean
76
80
theorem edgeSet_replaceVertex_of_not_adj (hn : ¬G.Adj s t) : (G.replaceVertex s t).edgeSet = G.edgeSet \ G.incidenceSet t ∪ (s(·, t)) '' (G.neighborSet s) := by
ext e; refine e.inductionOn ?_ simp only [replaceVertex, mem_edgeSet, Set.mem_union, Set.mem_diff, mk'_mem_incidenceSet_iff] intros; split_ifs; exacts [by simp_all, by aesop, by rw [adj_comm]; aesop, by aesop]
import Mathlib.Order.CompleteLattice import Mathlib.Order.Atoms def Order.radical (α : Type*) [Preorder α] [OrderTop α] [InfSet α] : α := ⨅ a ∈ {H | IsCoatom H}, a variable {α : Type*} [CompleteLattice α] lemma Order.radical_le_coatom {a : α} (h : IsCoatom a) : radical α ≤ a := biInf_le _ h variable {β : Type*} [CompleteLattice β]
Mathlib/Order/Radical.lean
30
36
theorem OrderIso.map_radical (f : α ≃o β) : f (Order.radical α) = Order.radical β := by
unfold Order.radical simp only [OrderIso.map_iInf] fapply Equiv.iInf_congr · exact f.toEquiv · intros simp
import Mathlib.Data.Fintype.Basic import Mathlib.GroupTheory.Perm.Sign import Mathlib.Logic.Equiv.Defs #align_import logic.equiv.fintype from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f" section Fintype variable {α β : Type*} [Fintype α] [DecidableEq β] (e : Equiv.Perm α) (f : α ↪ β) def Function.Embedding.toEquivRange : α ≃ Set.range f := ⟨fun a => ⟨f a, Set.mem_range_self a⟩, f.invOfMemRange, fun _ => by simp, fun _ => by simp⟩ #align function.embedding.to_equiv_range Function.Embedding.toEquivRange @[simp] theorem Function.Embedding.toEquivRange_apply (a : α) : f.toEquivRange a = ⟨f a, Set.mem_range_self a⟩ := rfl #align function.embedding.to_equiv_range_apply Function.Embedding.toEquivRange_apply @[simp] theorem Function.Embedding.toEquivRange_symm_apply_self (a : α) : f.toEquivRange.symm ⟨f a, Set.mem_range_self a⟩ = a := by simp [Equiv.symm_apply_eq] #align function.embedding.to_equiv_range_symm_apply_self Function.Embedding.toEquivRange_symm_apply_self
Mathlib/Logic/Equiv/Fintype.lean
54
57
theorem Function.Embedding.toEquivRange_eq_ofInjective : f.toEquivRange = Equiv.ofInjective f f.injective := by
ext simp
import Mathlib.MeasureTheory.Integral.IntegrableOn #align_import measure_theory.function.locally_integrable from "leanprover-community/mathlib"@"08a4542bec7242a5c60f179e4e49de8c0d677b1b" open MeasureTheory MeasureTheory.Measure Set Function TopologicalSpace Bornology open scoped Topology Interval ENNReal variable {X Y E F R : Type*} [MeasurableSpace X] [TopologicalSpace X] variable [MeasurableSpace Y] [TopologicalSpace Y] variable [NormedAddCommGroup E] [NormedAddCommGroup F] {f g : X → E} {μ : Measure X} {s : Set X} namespace MeasureTheory section LocallyIntegrableOn def LocallyIntegrableOn (f : X → E) (s : Set X) (μ : Measure X := by volume_tac) : Prop := ∀ x : X, x ∈ s → IntegrableAtFilter f (𝓝[s] x) μ #align measure_theory.locally_integrable_on MeasureTheory.LocallyIntegrableOn theorem LocallyIntegrableOn.mono_set (hf : LocallyIntegrableOn f s μ) {t : Set X} (hst : t ⊆ s) : LocallyIntegrableOn f t μ := fun x hx => (hf x <| hst hx).filter_mono (nhdsWithin_mono x hst) #align measure_theory.locally_integrable_on.mono MeasureTheory.LocallyIntegrableOn.mono_set theorem LocallyIntegrableOn.norm (hf : LocallyIntegrableOn f s μ) : LocallyIntegrableOn (fun x => ‖f x‖) s μ := fun t ht => let ⟨U, hU_nhd, hU_int⟩ := hf t ht ⟨U, hU_nhd, hU_int.norm⟩ #align measure_theory.locally_integrable_on.norm MeasureTheory.LocallyIntegrableOn.norm theorem LocallyIntegrableOn.mono (hf : LocallyIntegrableOn f s μ) {g : X → F} (hg : AEStronglyMeasurable g μ) (h : ∀ᵐ x ∂μ, ‖g x‖ ≤ ‖f x‖) : LocallyIntegrableOn g s μ := by intro x hx rcases hf x hx with ⟨t, t_mem, ht⟩ exact ⟨t, t_mem, Integrable.mono ht hg.restrict (ae_restrict_of_ae h)⟩ theorem IntegrableOn.locallyIntegrableOn (hf : IntegrableOn f s μ) : LocallyIntegrableOn f s μ := fun _ _ => ⟨s, self_mem_nhdsWithin, hf⟩ #align measure_theory.integrable_on.locally_integrable_on MeasureTheory.IntegrableOn.locallyIntegrableOn theorem LocallyIntegrableOn.integrableOn_isCompact (hf : LocallyIntegrableOn f s μ) (hs : IsCompact s) : IntegrableOn f s μ := IsCompact.induction_on hs integrableOn_empty (fun _u _v huv hv => hv.mono_set huv) (fun _u _v hu hv => integrableOn_union.mpr ⟨hu, hv⟩) hf #align measure_theory.locally_integrable_on.integrable_on_is_compact MeasureTheory.LocallyIntegrableOn.integrableOn_isCompact theorem LocallyIntegrableOn.integrableOn_compact_subset (hf : LocallyIntegrableOn f s μ) {t : Set X} (hst : t ⊆ s) (ht : IsCompact t) : IntegrableOn f t μ := (hf.mono_set hst).integrableOn_isCompact ht #align measure_theory.locally_integrable_on.integrable_on_compact_subset MeasureTheory.LocallyIntegrableOn.integrableOn_compact_subset
Mathlib/MeasureTheory/Function/LocallyIntegrable.lean
83
100
theorem LocallyIntegrableOn.exists_countable_integrableOn [SecondCountableTopology X] (hf : LocallyIntegrableOn f s μ) : ∃ T : Set (Set X), T.Countable ∧ (∀ u ∈ T, IsOpen u) ∧ (s ⊆ ⋃ u ∈ T, u) ∧ (∀ u ∈ T, IntegrableOn f (u ∩ s) μ) := by
have : ∀ x : s, ∃ u, IsOpen u ∧ x.1 ∈ u ∧ IntegrableOn f (u ∩ s) μ := by rintro ⟨x, hx⟩ rcases hf x hx with ⟨t, ht, h't⟩ rcases mem_nhdsWithin.1 ht with ⟨u, u_open, x_mem, u_sub⟩ exact ⟨u, u_open, x_mem, h't.mono_set u_sub⟩ choose u u_open xu hu using this obtain ⟨T, T_count, hT⟩ : ∃ T : Set s, T.Countable ∧ s ⊆ ⋃ i ∈ T, u i := by have : s ⊆ ⋃ x : s, u x := fun y hy => mem_iUnion_of_mem ⟨y, hy⟩ (xu ⟨y, hy⟩) obtain ⟨T, hT_count, hT_un⟩ := isOpen_iUnion_countable u u_open exact ⟨T, hT_count, by rwa [hT_un]⟩ refine ⟨u '' T, T_count.image _, ?_, by rwa [biUnion_image], ?_⟩ · rintro v ⟨w, -, rfl⟩ exact u_open _ · rintro v ⟨w, -, rfl⟩ exact hu _
import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Data.Set.MulAntidiagonal #align_import data.finset.mul_antidiagonal from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" namespace Set open Pointwise variable {α : Type*} {s t : Set α} @[to_additive] theorem IsPWO.mul [OrderedCancelCommMonoid α] (hs : s.IsPWO) (ht : t.IsPWO) : IsPWO (s * t) := by rw [← image_mul_prod] exact (hs.prod ht).image_of_monotone (monotone_fst.mul' monotone_snd) #align set.is_pwo.mul Set.IsPWO.mul #align set.is_pwo.add Set.IsPWO.add variable [LinearOrderedCancelCommMonoid α] @[to_additive] theorem IsWF.mul (hs : s.IsWF) (ht : t.IsWF) : IsWF (s * t) := (hs.isPWO.mul ht.isPWO).isWF #align set.is_wf.mul Set.IsWF.mul #align set.is_wf.add Set.IsWF.add @[to_additive]
Mathlib/Data/Finset/MulAntidiagonal.lean
40
45
theorem IsWF.min_mul (hs : s.IsWF) (ht : t.IsWF) (hsn : s.Nonempty) (htn : t.Nonempty) : (hs.mul ht).min (hsn.mul htn) = hs.min hsn * ht.min htn := by
refine le_antisymm (IsWF.min_le _ _ (mem_mul.2 ⟨_, hs.min_mem _, _, ht.min_mem _, rfl⟩)) ?_ rw [IsWF.le_min_iff] rintro _ ⟨x, hx, y, hy, rfl⟩ exact mul_le_mul' (hs.min_le _ hx) (ht.min_le _ hy)
import Mathlib.SetTheory.Cardinal.ToNat import Mathlib.Data.Nat.PartENat #align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" universe u v open Function variable {α : Type u} namespace Cardinal noncomputable def toPartENat : Cardinal →+o PartENat := .comp { (PartENat.withTopAddEquiv.symm : ℕ∞ →+ PartENat), (PartENat.withTopOrderIso.symm : ℕ∞ →o PartENat) with } toENat #align cardinal.to_part_enat Cardinal.toPartENat @[simp] theorem partENatOfENat_toENat (c : Cardinal) : (toENat c : PartENat) = toPartENat c := rfl @[simp] theorem toPartENat_natCast (n : ℕ) : toPartENat n = n := by simp only [← partENatOfENat_toENat, toENat_nat, PartENat.ofENat_coe] #align cardinal.to_part_enat_cast Cardinal.toPartENat_natCast theorem toPartENat_apply_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : toPartENat c = toNat c := by lift c to ℕ using h; simp #align cardinal.to_part_enat_apply_of_lt_aleph_0 Cardinal.toPartENat_apply_of_lt_aleph0 theorem toPartENat_eq_top {c : Cardinal} : toPartENat c = ⊤ ↔ ℵ₀ ≤ c := by rw [← partENatOfENat_toENat, ← PartENat.withTopEquiv_symm_top, ← toENat_eq_top, ← PartENat.withTopEquiv.symm.injective.eq_iff] simp #align to_part_enat_eq_top_iff_le_aleph_0 Cardinal.toPartENat_eq_top theorem toPartENat_apply_of_aleph0_le {c : Cardinal} (h : ℵ₀ ≤ c) : toPartENat c = ⊤ := congr_arg PartENat.ofENat (toENat_eq_top.2 h) #align cardinal.to_part_enat_apply_of_aleph_0_le Cardinal.toPartENat_apply_of_aleph0_le @[deprecated (since := "2024-02-15")] alias toPartENat_cast := toPartENat_natCast @[simp] theorem mk_toPartENat_of_infinite [h : Infinite α] : toPartENat #α = ⊤ := toPartENat_apply_of_aleph0_le (infinite_iff.1 h) #align cardinal.mk_to_part_enat_of_infinite Cardinal.mk_toPartENat_of_infinite @[simp] theorem aleph0_toPartENat : toPartENat ℵ₀ = ⊤ := toPartENat_apply_of_aleph0_le le_rfl #align cardinal.aleph_0_to_part_enat Cardinal.aleph0_toPartENat theorem toPartENat_surjective : Surjective toPartENat := fun x => PartENat.casesOn x ⟨ℵ₀, toPartENat_apply_of_aleph0_le le_rfl⟩ fun n => ⟨n, toPartENat_natCast n⟩ #align cardinal.to_part_enat_surjective Cardinal.toPartENat_surjective @[deprecated (since := "2024-02-15")] alias toPartENat_eq_top_iff_le_aleph0 := toPartENat_eq_top theorem toPartENat_strictMonoOn : StrictMonoOn toPartENat (Set.Iic ℵ₀) := PartENat.withTopOrderIso.symm.strictMono.comp_strictMonoOn toENat_strictMonoOn lemma toPartENat_le_iff_of_le_aleph0 {c c' : Cardinal} (h : c ≤ ℵ₀) : toPartENat c ≤ toPartENat c' ↔ c ≤ c' := by lift c to ℕ∞ using h simp_rw [← partENatOfENat_toENat, toENat_ofENat, enat_gc _, ← PartENat.withTopOrderIso.symm.le_iff_le, PartENat.ofENat_le, map_le_map_iff] #align to_part_enat_le_iff_le_of_le_aleph_0 Cardinal.toPartENat_le_iff_of_le_aleph0 lemma toPartENat_le_iff_of_lt_aleph0 {c c' : Cardinal} (hc' : c' < ℵ₀) : toPartENat c ≤ toPartENat c' ↔ c ≤ c' := by lift c' to ℕ using hc' simp_rw [← partENatOfENat_toENat, toENat_nat, ← toENat_le_nat, ← PartENat.withTopOrderIso.symm.le_iff_le, PartENat.ofENat_le, map_le_map_iff] #align to_part_enat_le_iff_le_of_lt_aleph_0 Cardinal.toPartENat_le_iff_of_lt_aleph0 lemma toPartENat_eq_iff_of_le_aleph0 {c c' : Cardinal} (hc : c ≤ ℵ₀) (hc' : c' ≤ ℵ₀) : toPartENat c = toPartENat c' ↔ c = c' := toPartENat_strictMonoOn.injOn.eq_iff hc hc' #align to_part_enat_eq_iff_eq_of_le_aleph_0 Cardinal.toPartENat_eq_iff_of_le_aleph0 theorem toPartENat_mono {c c' : Cardinal} (h : c ≤ c') : toPartENat c ≤ toPartENat c' := OrderHomClass.mono _ h #align cardinal.to_part_enat_mono Cardinal.toPartENat_mono
Mathlib/SetTheory/Cardinal/PartENat.lean
104
105
theorem toPartENat_lift (c : Cardinal.{v}) : toPartENat (lift.{u, v} c) = toPartENat c := by
simp only [← partENatOfENat_toENat, toENat_lift]
import Mathlib.Algebra.Ring.Divisibility.Basic import Mathlib.Init.Data.Ordering.Lemmas import Mathlib.SetTheory.Ordinal.Principal import Mathlib.Tactic.NormNum #align_import set_theory.ordinal.notation from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" set_option linter.uppercaseLean3 false open Ordinal Order -- Porting note: the generated theorem is warned by `simpNF`. set_option genSizeOfSpec false in inductive ONote : Type | zero : ONote | oadd : ONote → ℕ+ → ONote → ONote deriving DecidableEq #align onote ONote compile_inductive% ONote namespace ONote instance : Zero ONote := ⟨zero⟩ @[simp] theorem zero_def : zero = 0 := rfl #align onote.zero_def ONote.zero_def instance : Inhabited ONote := ⟨0⟩ instance : One ONote := ⟨oadd 0 1 0⟩ def omega : ONote := oadd 1 1 0 #align onote.omega ONote.omega @[simp] noncomputable def repr : ONote → Ordinal.{0} | 0 => 0 | oadd e n a => ω ^ repr e * n + repr a #align onote.repr ONote.repr def toStringAux1 (e : ONote) (n : ℕ) (s : String) : String := if e = 0 then toString n else (if e = 1 then "ω" else "ω^(" ++ s ++ ")") ++ if n = 1 then "" else "*" ++ toString n #align onote.to_string_aux1 ONote.toStringAux1 def toString : ONote → String | zero => "0" | oadd e n 0 => toStringAux1 e n (toString e) | oadd e n a => toStringAux1 e n (toString e) ++ " + " ++ toString a #align onote.to_string ONote.toString open Lean in def repr' (prec : ℕ) : ONote → Format | zero => "0" | oadd e n a => Repr.addAppParen ("oadd " ++ (repr' max_prec e) ++ " " ++ Nat.repr (n : ℕ) ++ " " ++ (repr' max_prec a)) prec #align onote.repr' ONote.repr instance : ToString ONote := ⟨toString⟩ instance : Repr ONote where reprPrec o prec := repr' prec o instance : Preorder ONote where le x y := repr x ≤ repr y lt x y := repr x < repr y le_refl _ := @le_refl Ordinal _ _ le_trans _ _ _ := @le_trans Ordinal _ _ _ _ lt_iff_le_not_le _ _ := @lt_iff_le_not_le Ordinal _ _ _ theorem lt_def {x y : ONote} : x < y ↔ repr x < repr y := Iff.rfl #align onote.lt_def ONote.lt_def theorem le_def {x y : ONote} : x ≤ y ↔ repr x ≤ repr y := Iff.rfl #align onote.le_def ONote.le_def instance : WellFoundedRelation ONote := ⟨(· < ·), InvImage.wf repr Ordinal.lt_wf⟩ @[coe] def ofNat : ℕ → ONote | 0 => 0 | Nat.succ n => oadd 0 n.succPNat 0 #align onote.of_nat ONote.ofNat -- Porting note (#11467): during the port we marked these lemmas with `@[eqns]` -- to emulate the old Lean 3 behaviour. @[simp] theorem ofNat_zero : ofNat 0 = 0 := rfl @[simp] theorem ofNat_succ (n) : ofNat (Nat.succ n) = oadd 0 n.succPNat 0 := rfl instance nat (n : ℕ) : OfNat ONote n where ofNat := ofNat n @[simp 1200] theorem ofNat_one : ofNat 1 = 1 := rfl #align onote.of_nat_one ONote.ofNat_one @[simp] theorem repr_ofNat (n : ℕ) : repr (ofNat n) = n := by cases n <;> simp #align onote.repr_of_nat ONote.repr_ofNat -- @[simp] -- Porting note (#10618): simp can prove this theorem repr_one : repr (ofNat 1) = (1 : ℕ) := repr_ofNat 1 #align onote.repr_one ONote.repr_one
Mathlib/SetTheory/Ordinal/Notation.lean
157
159
theorem omega_le_oadd (e n a) : ω ^ repr e ≤ repr (oadd e n a) := by
refine le_trans ?_ (le_add_right _ _) simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e) omega_pos).2 (natCast_le.2 n.2)
import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.Tactic.PPWithUniv import Mathlib.Data.Set.Defs #align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v v' w u u' @[to_additive existing CategoryTheory.types] instance types : LargeCategory (Type u) where Hom a b := a → b id a := id comp f g := g ∘ f #align category_theory.types CategoryTheory.types theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) := rfl #align category_theory.types_hom CategoryTheory.types_hom -- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal -- because of its "if all else fails, apply all `ext` lemmas" policy, -- which apparently we want to move away from. @[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by funext x exact h x theorem types_id (X : Type u) : 𝟙 X = id := rfl #align category_theory.types_id CategoryTheory.types_id theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f := rfl #align category_theory.types_comp CategoryTheory.types_comp @[simp] theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x := rfl #align category_theory.types_id_apply CategoryTheory.types_id_apply @[simp] theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) := rfl #align category_theory.types_comp_apply CategoryTheory.types_comp_apply @[simp] theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x := congr_fun f.hom_inv_id x #align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply @[simp] theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y := congr_fun f.inv_hom_id y #align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply -- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`. abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β := f #align category_theory.as_hom CategoryTheory.asHom @[inherit_doc] scoped notation "↾" f:200 => CategoryTheory.asHom f section -- We verify the expected type checking behaviour of `asHom` variable (α β γ : Type u) (f : α → β) (g : β → γ) example : α → γ := ↾f ≫ ↾g example [IsIso (↾f)] : Mono (↾f) := by infer_instance example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp end namespace FunctorToTypes variable {C : Type u} [Category.{v} C] (F G H : C ⥤ Type w) {X Y Z : C} variable (σ : F ⟶ G) (τ : G ⟶ H) @[simp] theorem map_comp_apply (f : X ⟶ Y) (g : Y ⟶ Z) (a : F.obj X) : (F.map (f ≫ g)) a = (F.map g) ((F.map f) a) := by simp [types_comp] #align category_theory.functor_to_types.map_comp_apply CategoryTheory.FunctorToTypes.map_comp_apply @[simp]
Mathlib/CategoryTheory/Types.lean
157
157
theorem map_id_apply (a : F.obj X) : (F.map (𝟙 X)) a = a := by
simp [types_id]
import Mathlib.CategoryTheory.Comma.Basic import Mathlib.CategoryTheory.PUnit import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.CategoryTheory.EssentiallySmall import Mathlib.Logic.Small.Set #align_import category_theory.structured_arrow from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄ variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] -- We explicitly come from `PUnit.{1}` here to obtain the correct universe for morphisms of -- structured arrows. -- Porting note(#5171): linter not ported yet -- @[nolint has_nonempty_instance] def StructuredArrow (S : D) (T : C ⥤ D) := Comma (Functor.fromPUnit.{0} S) T #align category_theory.structured_arrow CategoryTheory.StructuredArrow -- Porting note: not found by inferInstance instance (S : D) (T : C ⥤ D) : Category (StructuredArrow S T) := commaCategory namespace StructuredArrow @[simps!] def proj (S : D) (T : C ⥤ D) : StructuredArrow S T ⥤ C := Comma.snd _ _ #align category_theory.structured_arrow.proj CategoryTheory.StructuredArrow.proj variable {S S' S'' : D} {Y Y' Y'' : C} {T T' : C ⥤ D} -- Porting note: this lemma was added because `Comma.hom_ext` -- was not triggered automatically -- See https://github.com/leanprover-community/mathlib4/issues/5229 @[ext] lemma hom_ext {X Y : StructuredArrow S T} (f g : X ⟶ Y) (h : f.right = g.right) : f = g := CommaMorphism.ext _ _ (Subsingleton.elim _ _) h @[simp] theorem hom_eq_iff {X Y : StructuredArrow S T} (f g : X ⟶ Y) : f = g ↔ f.right = g.right := ⟨fun h ↦ by rw [h], hom_ext _ _⟩ def mk (f : S ⟶ T.obj Y) : StructuredArrow S T := ⟨⟨⟨⟩⟩, Y, f⟩ #align category_theory.structured_arrow.mk CategoryTheory.StructuredArrow.mk @[simp] theorem mk_left (f : S ⟶ T.obj Y) : (mk f).left = ⟨⟨⟩⟩ := rfl #align category_theory.structured_arrow.mk_left CategoryTheory.StructuredArrow.mk_left @[simp] theorem mk_right (f : S ⟶ T.obj Y) : (mk f).right = Y := rfl #align category_theory.structured_arrow.mk_right CategoryTheory.StructuredArrow.mk_right @[simp] theorem mk_hom_eq_self (f : S ⟶ T.obj Y) : (mk f).hom = f := rfl #align category_theory.structured_arrow.mk_hom_eq_self CategoryTheory.StructuredArrow.mk_hom_eq_self @[reassoc (attr := simp)] theorem w {A B : StructuredArrow S T} (f : A ⟶ B) : A.hom ≫ T.map f.right = B.hom := by have := f.w; aesop_cat #align category_theory.structured_arrow.w CategoryTheory.StructuredArrow.w @[simp] theorem comp_right {X Y Z : StructuredArrow S T} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).right = f.right ≫ g.right := rfl @[simp] theorem id_right (X : StructuredArrow S T) : (𝟙 X : X ⟶ X).right = 𝟙 X.right := rfl @[simp]
Mathlib/CategoryTheory/Comma/StructuredArrow.lean
102
105
theorem eqToHom_right {X Y : StructuredArrow S T} (h : X = Y) : (eqToHom h).right = eqToHom (by rw [h]) := by
subst h simp only [eqToHom_refl, id_right]
import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Ring.Regular import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.instances from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" open Set variable {α : Type*} section OrderedSemiring variable [OrderedSemiring α] namespace Set.Ico instance zero [Nontrivial α] : Zero (Ico (0 : α) 1) where zero := ⟨0, left_mem_Ico.2 zero_lt_one⟩ #align set.Ico.has_zero Set.Ico.zero @[simp, norm_cast] theorem coe_zero [Nontrivial α] : ↑(0 : Ico (0 : α) 1) = (0 : α) := rfl #align set.Ico.coe_zero Set.Ico.coe_zero @[simp] theorem mk_zero [Nontrivial α] (h : (0 : α) ∈ Ico (0 : α) 1) : (⟨0, h⟩ : Ico (0 : α) 1) = 0 := rfl #align set.Ico.mk_zero Set.Ico.mk_zero @[simp, norm_cast]
Mathlib/Algebra/Order/Interval/Set/Instances.lean
201
203
theorem coe_eq_zero [Nontrivial α] {x : Ico (0 : α) 1} : (x : α) = 0 ↔ x = 0 := by
symm exact Subtype.ext_iff
import Mathlib.Data.Finset.Prod import Mathlib.Data.Sym.Basic import Mathlib.Data.Sym.Sym2.Init import Mathlib.Data.SetLike.Basic #align_import data.sym.sym2 from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" assert_not_exists MonoidWithZero open Finset Function Sym universe u variable {α β γ : Type*} namespace Sym2 @[aesop (rule_sets := [Sym2]) [safe [constructors, cases], norm]] inductive Rel (α : Type u) : α × α → α × α → Prop | refl (x y : α) : Rel _ (x, y) (x, y) | swap (x y : α) : Rel _ (x, y) (y, x) #align sym2.rel Sym2.Rel #align sym2.rel.refl Sym2.Rel.refl #align sym2.rel.swap Sym2.Rel.swap attribute [refl] Rel.refl @[symm] theorem Rel.symm {x y : α × α} : Rel α x y → Rel α y x := by aesop (rule_sets := [Sym2]) #align sym2.rel.symm Sym2.Rel.symm @[trans]
Mathlib/Data/Sym/Sym2.lean
73
74
theorem Rel.trans {x y z : α × α} (a : Rel α x y) (b : Rel α y z) : Rel α x z := by
aesop (rule_sets := [Sym2])
import Mathlib.Order.Partition.Equipartition #align_import combinatorics.simple_graph.regularity.equitabilise from "leanprover-community/mathlib"@"bf7ef0e83e5b7e6c1169e97f055e58a2e4e9d52d" open Finset Nat namespace Finpartition variable {α : Type*} [DecidableEq α] {s t : Finset α} {m n a b : ℕ} {P : Finpartition s}
Mathlib/Combinatorics/SimpleGraph/Regularity/Equitabilise.lean
42
139
theorem equitabilise_aux (hs : a * m + b * (m + 1) = s.card) : ∃ Q : Finpartition s, (∀ x : Finset α, x ∈ Q.parts → x.card = m ∨ x.card = m + 1) ∧ (∀ x, x ∈ P.parts → (x \ (Q.parts.filter fun y => y ⊆ x).biUnion id).card ≤ m) ∧ (Q.parts.filter fun i => card i = m + 1).card = b := by
-- Get rid of the easy case `m = 0` obtain rfl | m_pos := m.eq_zero_or_pos · refine ⟨⊥, by simp, ?_, by simpa [Finset.filter_true_of_mem] using hs.symm⟩ simp only [le_zero_iff, card_eq_zero, mem_biUnion, exists_prop, mem_filter, id, and_assoc, sdiff_eq_empty_iff_subset, subset_iff] exact fun x hx a ha => ⟨{a}, mem_map_of_mem _ (P.le hx ha), singleton_subset_iff.2 ha, mem_singleton_self _⟩ -- Prove the case `m > 0` by strong induction on `s` induction' s using Finset.strongInduction with s ih generalizing a b -- If `a = b = 0`, then `s = ∅` and we can partition into zero parts by_cases hab : a = 0 ∧ b = 0 · simp only [hab.1, hab.2, add_zero, zero_mul, eq_comm, card_eq_zero, Finset.bot_eq_empty] at hs subst hs -- Porting note: to synthesize `Finpartition ∅`, `have` is required have : P = Finpartition.empty _ := Unique.eq_default (α := Finpartition ⊥) P exact ⟨Finpartition.empty _, by simp, by simp [this], by simp [hab.2]⟩ simp_rw [not_and_or, ← Ne.eq_def, ← pos_iff_ne_zero] at hab -- `n` will be the size of the smallest part set n := if 0 < a then m else m + 1 with hn -- Some easy facts about it obtain ⟨hn₀, hn₁, hn₂, hn₃⟩ : 0 < n ∧ n ≤ m + 1 ∧ n ≤ a * m + b * (m + 1) ∧ ite (0 < a) (a - 1) a * m + ite (0 < a) b (b - 1) * (m + 1) = s.card - n := by rw [hn, ← hs] split_ifs with h <;> rw [tsub_mul, one_mul] · refine ⟨m_pos, le_succ _, le_add_right (Nat.le_mul_of_pos_left _ ‹0 < a›), ?_⟩ rw [tsub_add_eq_add_tsub (Nat.le_mul_of_pos_left _ h)] · refine ⟨succ_pos', le_rfl, le_add_left (Nat.le_mul_of_pos_left _ <| hab.resolve_left ‹¬0 < a›), ?_⟩ rw [← add_tsub_assoc_of_le (Nat.le_mul_of_pos_left _ <| hab.resolve_left ‹¬0 < a›)] /- We will call the inductive hypothesis on a partition of `s \ t` for a carefully chosen `t ⊆ s`. To decide which, however, we must distinguish the case where all parts of `P` have size `m` (in which case we take `t` to be an arbitrary subset of `s` of size `n`) from the case where at least one part `u` of `P` has size `m + 1` (in which case we take `t` to be an arbitrary subset of `u` of size `n`). The rest of each branch is just tedious calculations to satisfy the induction hypothesis. -/ by_cases h : ∀ u ∈ P.parts, card u < m + 1 · obtain ⟨t, hts, htn⟩ := exists_smaller_set s n (hn₂.trans_eq hs) have ht : t.Nonempty := by rwa [← card_pos, htn] have hcard : ite (0 < a) (a - 1) a * m + ite (0 < a) b (b - 1) * (m + 1) = (s \ t).card := by rw [card_sdiff ‹t ⊆ s›, htn, hn₃] obtain ⟨R, hR₁, _, hR₃⟩ := @ih (s \ t) (sdiff_ssubset hts ‹t.Nonempty›) (if 0 < a then a - 1 else a) (if 0 < a then b else b - 1) (P.avoid t) hcard refine ⟨R.extend ht.ne_empty sdiff_disjoint (sdiff_sup_cancel hts), ?_, ?_, ?_⟩ · simp only [extend_parts, mem_insert, forall_eq_or_imp, and_iff_left hR₁, htn, hn] exact ite_eq_or_eq _ _ _ · exact fun x hx => (card_le_card sdiff_subset).trans (Nat.lt_succ_iff.1 <| h _ hx) simp_rw [extend_parts, filter_insert, htn, m.succ_ne_self.symm.ite_eq_right_iff] split_ifs with ha · rw [hR₃, if_pos ha] rw [card_insert_of_not_mem, hR₃, if_neg ha, tsub_add_cancel_of_le] · exact hab.resolve_left ha · intro H; exact ht.ne_empty (le_sdiff_iff.1 <| R.le <| filter_subset _ _ H) push_neg at h obtain ⟨u, hu₁, hu₂⟩ := h obtain ⟨t, htu, htn⟩ := exists_smaller_set _ _ (hn₁.trans hu₂) have ht : t.Nonempty := by rwa [← card_pos, htn] have hcard : ite (0 < a) (a - 1) a * m + ite (0 < a) b (b - 1) * (m + 1) = (s \ t).card := by rw [card_sdiff (htu.trans <| P.le hu₁), htn, hn₃] obtain ⟨R, hR₁, hR₂, hR₃⟩ := @ih (s \ t) (sdiff_ssubset (htu.trans <| P.le hu₁) ht) (if 0 < a then a - 1 else a) (if 0 < a then b else b - 1) (P.avoid t) hcard refine ⟨R.extend ht.ne_empty sdiff_disjoint (sdiff_sup_cancel <| htu.trans <| P.le hu₁), ?_, ?_, ?_⟩ · simp only [mem_insert, forall_eq_or_imp, extend_parts, and_iff_left hR₁, htn, hn] exact ite_eq_or_eq _ _ _ · conv in _ ∈ _ => rw [← insert_erase hu₁] simp only [and_imp, mem_insert, forall_eq_or_imp, Ne, extend_parts] refine ⟨?_, fun x hx => (card_le_card ?_).trans <| hR₂ x ?_⟩ · simp only [filter_insert, if_pos htu, biUnion_insert, mem_erase, id] obtain rfl | hut := eq_or_ne u t · rw [sdiff_eq_empty_iff_subset.2 subset_union_left] exact bot_le refine (card_le_card fun i => ?_).trans (hR₂ (u \ t) <| P.mem_avoid.2 ⟨u, hu₁, fun i => hut <| i.antisymm htu, rfl⟩) -- Porting note: `not_and` required because `∃ x ∈ s, p x` is defined differently simp only [not_exists, not_and, mem_biUnion, and_imp, mem_union, mem_filter, mem_sdiff, id, not_or] exact fun hi₁ hi₂ hi₃ => ⟨⟨hi₁, hi₂⟩, fun x hx hx' => hi₃ _ hx <| hx'.trans sdiff_subset⟩ · apply sdiff_subset_sdiff Subset.rfl (biUnion_subset_biUnion_of_subset_left _ _) exact filter_subset_filter _ (subset_insert _ _) simp only [avoid, ofErase, mem_erase, mem_image, bot_eq_empty] exact ⟨(nonempty_of_mem_parts _ <| mem_of_mem_erase hx).ne_empty, _, mem_of_mem_erase hx, (disjoint_of_subset_right htu <| P.disjoint (mem_of_mem_erase hx) hu₁ <| ne_of_mem_erase hx).sdiff_eq_left⟩ simp only [extend_parts, filter_insert, htn, hn, m.succ_ne_self.symm.ite_eq_right_iff] split_ifs with h · rw [hR₃, if_pos h] · rw [card_insert_of_not_mem, hR₃, if_neg h, Nat.sub_add_cancel (hab.resolve_left h)] intro H; exact ht.ne_empty (le_sdiff_iff.1 <| R.le <| filter_subset _ _ H)
import Mathlib.Data.List.Forall2 #align_import data.list.zip from "leanprover-community/mathlib"@"134625f523e737f650a6ea7f0c82a6177e45e622" -- Make sure we don't import algebra assert_not_exists Monoid universe u open Nat namespace List variable {α : Type u} {β γ δ ε : Type*} #align list.zip_with_cons_cons List.zipWith_cons_cons #align list.zip_cons_cons List.zip_cons_cons #align list.zip_with_nil_left List.zipWith_nil_left #align list.zip_with_nil_right List.zipWith_nil_right #align list.zip_with_eq_nil_iff List.zipWith_eq_nil_iff #align list.zip_nil_left List.zip_nil_left #align list.zip_nil_right List.zip_nil_right @[simp] theorem zip_swap : ∀ (l₁ : List α) (l₂ : List β), (zip l₁ l₂).map Prod.swap = zip l₂ l₁ | [], l₂ => zip_nil_right.symm | l₁, [] => by rw [zip_nil_right]; rfl | a :: l₁, b :: l₂ => by simp only [zip_cons_cons, map_cons, zip_swap l₁ l₂, Prod.swap_prod_mk] #align list.zip_swap List.zip_swap #align list.length_zip_with List.length_zipWith #align list.length_zip List.length_zip theorem forall_zipWith {f : α → β → γ} {p : γ → Prop} : ∀ {l₁ : List α} {l₂ : List β}, length l₁ = length l₂ → (Forall p (zipWith f l₁ l₂) ↔ Forall₂ (fun x y => p (f x y)) l₁ l₂) | [], [], _ => by simp | a :: l₁, b :: l₂, h => by simp only [length_cons, succ_inj'] at h simp [forall_zipWith h] #align list.all₂_zip_with List.forall_zipWith theorem lt_length_left_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β} (h : i < (zipWith f l l').length) : i < l.length := by rw [length_zipWith] at h; omega #align list.lt_length_left_of_zip_with List.lt_length_left_of_zipWith theorem lt_length_right_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β} (h : i < (zipWith f l l').length) : i < l'.length := by rw [length_zipWith] at h; omega #align list.lt_length_right_of_zip_with List.lt_length_right_of_zipWith theorem lt_length_left_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) : i < l.length := lt_length_left_of_zipWith h #align list.lt_length_left_of_zip List.lt_length_left_of_zip theorem lt_length_right_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) : i < l'.length := lt_length_right_of_zipWith h #align list.lt_length_right_of_zip List.lt_length_right_of_zip #align list.zip_append List.zip_append #align list.zip_map List.zip_map #align list.zip_map_left List.zip_map_left #align list.zip_map_right List.zip_map_right #align list.zip_with_map List.zipWith_map #align list.zip_with_map_left List.zipWith_map_left #align list.zip_with_map_right List.zipWith_map_right #align list.zip_map' List.zip_map' #align list.map_zip_with List.map_zipWith theorem mem_zip {a b} : ∀ {l₁ : List α} {l₂ : List β}, (a, b) ∈ zip l₁ l₂ → a ∈ l₁ ∧ b ∈ l₂ | _ :: l₁, _ :: l₂, h => by cases' h with _ _ _ h · simp · have := mem_zip h exact ⟨Mem.tail _ this.1, Mem.tail _ this.2⟩ #align list.mem_zip List.mem_zip #align list.map_fst_zip List.map_fst_zip #align list.map_snd_zip List.map_snd_zip #align list.unzip_nil List.unzip_nil #align list.unzip_cons List.unzip_cons theorem unzip_eq_map : ∀ l : List (α × β), unzip l = (l.map Prod.fst, l.map Prod.snd) | [] => rfl | (a, b) :: l => by simp only [unzip_cons, map_cons, unzip_eq_map l] #align list.unzip_eq_map List.unzip_eq_map theorem unzip_left (l : List (α × β)) : (unzip l).1 = l.map Prod.fst := by simp only [unzip_eq_map] #align list.unzip_left List.unzip_left
Mathlib/Data/List/Zip.lean
112
112
theorem unzip_right (l : List (α × β)) : (unzip l).2 = l.map Prod.snd := by
simp only [unzip_eq_map]
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.List.Perm import Mathlib.Data.List.Range #align_import data.list.sublists from "leanprover-community/mathlib"@"ccad6d5093bd2f5c6ca621fc74674cce51355af6" universe u v w variable {α : Type u} {β : Type v} {γ : Type w} open Nat namespace List @[simp] theorem sublists'_nil : sublists' (@nil α) = [[]] := rfl #align list.sublists'_nil List.sublists'_nil @[simp] theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] := rfl #align list.sublists'_singleton List.sublists'_singleton #noalign list.map_sublists'_aux #noalign list.sublists'_aux_append #noalign list.sublists'_aux_eq_sublists' -- Porting note: Not the same as `sublists'_aux` from Lean3 def sublists'Aux (a : α) (r₁ r₂ : List (List α)) : List (List α) := r₁.foldl (init := r₂) fun r l => r ++ [a :: l] #align list.sublists'_aux List.sublists'Aux theorem sublists'Aux_eq_array_foldl (a : α) : ∀ (r₁ r₂ : List (List α)), sublists'Aux a r₁ r₂ = ((r₁.toArray).foldl (init := r₂.toArray) (fun r l => r.push (a :: l))).toList := by intro r₁ r₂ rw [sublists'Aux, Array.foldl_eq_foldl_data] have := List.foldl_hom Array.toList (fun r l => r.push (a :: l)) (fun r l => r ++ [a :: l]) r₁ r₂.toArray (by simp) simpa using this theorem sublists'_eq_sublists'Aux (l : List α) : sublists' l = l.foldr (fun a r => sublists'Aux a r r) [[]] := by simp only [sublists', sublists'Aux_eq_array_foldl] rw [← List.foldr_hom Array.toList] · rfl · intros _ _; congr <;> simp theorem sublists'Aux_eq_map (a : α) (r₁ : List (List α)) : ∀ (r₂ : List (List α)), sublists'Aux a r₁ r₂ = r₂ ++ map (cons a) r₁ := List.reverseRecOn r₁ (fun _ => by simp [sublists'Aux]) fun r₁ l ih r₂ => by rw [map_append, map_singleton, ← append_assoc, ← ih, sublists'Aux, foldl_append, foldl] simp [sublists'Aux] -- Porting note: simp can prove `sublists'_singleton` @[simp 900]
Mathlib/Data/List/Sublists.lean
76
78
theorem sublists'_cons (a : α) (l : List α) : sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) := by
simp [sublists'_eq_sublists'Aux, foldr_cons, sublists'Aux_eq_map]
import Mathlib.Algebra.QuadraticDiscriminant import Mathlib.Analysis.Convex.SpecificFunctions.Deriv import Mathlib.Analysis.SpecialFunctions.Pow.Complex #align_import analysis.special_functions.trigonometric.complex from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" noncomputable section namespace Complex open Set Filter open scoped Real theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 := by have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1 := by rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero, zero_mul, add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub] ring_nf rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm] refine exists_congr fun x => ?_ refine (iff_of_eq <| congr_arg _ ?_).trans (mul_right_inj' <| mul_ne_zero two_ne_zero I_ne_zero) field_simp; ring #align complex.cos_eq_zero_iff Complex.cos_eq_zero_iff theorem cos_ne_zero_iff {θ : ℂ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 := by rw [← not_exists, not_iff_not, cos_eq_zero_iff] #align complex.cos_ne_zero_iff Complex.cos_ne_zero_iff theorem sin_eq_zero_iff {θ : ℂ} : sin θ = 0 ↔ ∃ k : ℤ, θ = k * π := by rw [← Complex.cos_sub_pi_div_two, cos_eq_zero_iff] constructor · rintro ⟨k, hk⟩ use k + 1 field_simp [eq_add_of_sub_eq hk] ring · rintro ⟨k, rfl⟩ use k - 1 field_simp ring #align complex.sin_eq_zero_iff Complex.sin_eq_zero_iff theorem sin_ne_zero_iff {θ : ℂ} : sin θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π := by rw [← not_exists, not_iff_not, sin_eq_zero_iff] #align complex.sin_ne_zero_iff Complex.sin_ne_zero_iff theorem tan_eq_zero_iff {θ : ℂ} : tan θ = 0 ↔ ∃ k : ℤ, k * π / 2 = θ := by rw [tan, div_eq_zero_iff, ← mul_eq_zero, ← mul_right_inj' two_ne_zero, mul_zero, ← mul_assoc, ← sin_two_mul, sin_eq_zero_iff] field_simp [mul_comm, eq_comm] #align complex.tan_eq_zero_iff Complex.tan_eq_zero_iff
Mathlib/Analysis/SpecialFunctions/Trigonometric/Complex.lean
75
76
theorem tan_ne_zero_iff {θ : ℂ} : tan θ ≠ 0 ↔ ∀ k : ℤ, (k * π / 2 : ℂ) ≠ θ := by
rw [← not_exists, not_iff_not, tan_eq_zero_iff]
import Batteries.Data.HashMap.Basic import Batteries.Data.Array.Lemmas import Batteries.Data.Nat.Lemmas namespace Batteries.HashMap namespace Imp attribute [-simp] Bool.not_eq_true namespace Buckets @[ext] protected theorem ext : ∀ {b₁ b₂ : Buckets α β}, b₁.1.data = b₂.1.data → b₁ = b₂ | ⟨⟨_⟩, _⟩, ⟨⟨_⟩, _⟩, rfl => rfl theorem update_data (self : Buckets α β) (i d h) : (self.update i d h).1.data = self.1.data.set i.toNat d := rfl theorem exists_of_update (self : Buckets α β) (i d h) : ∃ l₁ l₂, self.1.data = l₁ ++ self.1[i] :: l₂ ∧ List.length l₁ = i.toNat ∧ (self.update i d h).1.data = l₁ ++ d :: l₂ := by simp only [Array.data_length, Array.ugetElem_eq_getElem, Array.getElem_eq_data_get] exact List.exists_of_set' h theorem update_update (self : Buckets α β) (i d d' h h') : (self.update i d h).update i d' h' = self.update i d' h := by simp only [update, Array.uset, Array.data_length] congr 1 rw [Array.set_set] theorem size_eq (data : Buckets α β) : size data = .sum (data.1.data.map (·.toList.length)) := rfl
.lake/packages/batteries/Batteries/Data/HashMap/WF.lean
38
40
theorem mk_size (h) : (mk n h : Buckets α β).size = 0 := by
simp only [mk, mkArray, size_eq]; clear h induction n <;> simp [*]
import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Perm import Mathlib.Data.Fintype.Prod import Mathlib.GroupTheory.Perm.Sign import Mathlib.Logic.Equiv.Option #align_import group_theory.perm.option from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" open Equiv @[simp] theorem Equiv.optionCongr_one {α : Type*} : (1 : Perm α).optionCongr = 1 := Equiv.optionCongr_refl #align equiv.option_congr_one Equiv.optionCongr_one @[simp] theorem Equiv.optionCongr_swap {α : Type*} [DecidableEq α] (x y : α) : optionCongr (swap x y) = swap (some x) (some y) := by ext (_ | i) · simp [swap_apply_of_ne_of_ne] · by_cases hx : i = x · simp only [hx, optionCongr_apply, Option.map_some', swap_apply_left, Option.mem_def, Option.some.injEq] by_cases hy : i = y <;> simp [hx, hy, swap_apply_of_ne_of_ne] #align equiv.option_congr_swap Equiv.optionCongr_swap @[simp] theorem Equiv.optionCongr_sign {α : Type*} [DecidableEq α] [Fintype α] (e : Perm α) : Perm.sign e.optionCongr = Perm.sign e := by refine Perm.swap_induction_on e ?_ ?_ · simp [Perm.one_def] · intro f x y hne h simp [h, hne, Perm.mul_def, ← Equiv.optionCongr_trans] #align equiv.option_congr_sign Equiv.optionCongr_sign @[simp] theorem map_equiv_removeNone {α : Type*} [DecidableEq α] (σ : Perm (Option α)) : (removeNone σ).optionCongr = swap none (σ none) * σ := by ext1 x have : Option.map (⇑(removeNone σ)) x = (swap none (σ none)) (σ x) := by cases' x with x · simp · cases h : σ (some _) · simp [removeNone_none _ h] · have hn : σ (some x) ≠ none := by simp [h] have hσn : σ (some x) ≠ σ none := σ.injective.ne (by simp) simp [removeNone_some _ ⟨_, h⟩, ← h, swap_apply_of_ne_of_ne hn hσn] simpa using this #align map_equiv_remove_none map_equiv_removeNone @[simps] def Equiv.Perm.decomposeOption {α : Type*} [DecidableEq α] : Perm (Option α) ≃ Option α × Perm α where toFun σ := (σ none, removeNone σ) invFun i := swap none i.1 * i.2.optionCongr left_inv σ := by simp right_inv := fun ⟨x, σ⟩ => by have : removeNone (swap none x * σ.optionCongr) = σ := Equiv.optionCongr_injective (by simp [← mul_assoc]) simp [← Perm.eq_inv_iff_eq, this] #align equiv.perm.decompose_option Equiv.Perm.decomposeOption theorem Equiv.Perm.decomposeOption_symm_of_none_apply {α : Type*} [DecidableEq α] (e : Perm α) (i : Option α) : Equiv.Perm.decomposeOption.symm (none, e) i = i.map e := by simp #align equiv.perm.decompose_option_symm_of_none_apply Equiv.Perm.decomposeOption_symm_of_none_apply
Mathlib/GroupTheory/Perm/Option.lean
80
81
theorem Equiv.Perm.decomposeOption_symm_sign {α : Type*} [DecidableEq α] [Fintype α] (e : Perm α) : Perm.sign (Equiv.Perm.decomposeOption.symm (none, e)) = Perm.sign e := by
simp
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Tactic.Ring import Mathlib.Tactic.Positivity.Core #align_import data.nat.factorial.double_factorial from "leanprover-community/mathlib"@"7daeaf3072304c498b653628add84a88d0e78767" open Nat namespace Nat @[simp] def doubleFactorial : ℕ → ℕ | 0 => 1 | 1 => 1 | k + 2 => (k + 2) * doubleFactorial k #align nat.double_factorial Nat.doubleFactorial -- This notation is `\!!` not two !'s @[inherit_doc] scoped notation:10000 n "‼" => Nat.doubleFactorial n lemma doubleFactorial_pos : ∀ n, 0 < n‼ | 0 | 1 => zero_lt_one | _n + 2 => mul_pos (succ_pos _) (doubleFactorial_pos _) theorem doubleFactorial_add_two (n : ℕ) : (n + 2)‼ = (n + 2) * n‼ := rfl #align nat.double_factorial_add_two Nat.doubleFactorial_add_two
Mathlib/Data/Nat/Factorial/DoubleFactorial.lean
48
48
theorem doubleFactorial_add_one (n : ℕ) : (n + 1)‼ = (n + 1) * (n - 1)‼ := by
cases n <;> rfl
import Mathlib.Order.Interval.Set.Monotone import Mathlib.Probability.Process.HittingTime import Mathlib.Probability.Martingale.Basic import Mathlib.Tactic.AdaptationNote #align_import probability.martingale.upcrossing from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open TopologicalSpace Filter open scoped NNReal ENNReal MeasureTheory ProbabilityTheory Topology namespace MeasureTheory variable {Ω ι : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} noncomputable def lowerCrossingTimeAux [Preorder ι] [InfSet ι] (a : ℝ) (f : ι → Ω → ℝ) (c N : ι) : Ω → ι := hitting f (Set.Iic a) c N #align measure_theory.lower_crossing_time_aux MeasureTheory.lowerCrossingTimeAux noncomputable def upperCrossingTime [Preorder ι] [OrderBot ι] [InfSet ι] (a b : ℝ) (f : ι → Ω → ℝ) (N : ι) : ℕ → Ω → ι | 0 => ⊥ | n + 1 => fun ω => hitting f (Set.Ici b) (lowerCrossingTimeAux a f (upperCrossingTime a b f N n ω) N ω) N ω #align measure_theory.upper_crossing_time MeasureTheory.upperCrossingTime noncomputable def lowerCrossingTime [Preorder ι] [OrderBot ι] [InfSet ι] (a b : ℝ) (f : ι → Ω → ℝ) (N : ι) (n : ℕ) : Ω → ι := fun ω => hitting f (Set.Iic a) (upperCrossingTime a b f N n ω) N ω #align measure_theory.lower_crossing_time MeasureTheory.lowerCrossingTime section variable [Preorder ι] [OrderBot ι] [InfSet ι] variable {a b : ℝ} {f : ι → Ω → ℝ} {N : ι} {n m : ℕ} {ω : Ω} @[simp] theorem upperCrossingTime_zero : upperCrossingTime a b f N 0 = ⊥ := rfl #align measure_theory.upper_crossing_time_zero MeasureTheory.upperCrossingTime_zero @[simp] theorem lowerCrossingTime_zero : lowerCrossingTime a b f N 0 = hitting f (Set.Iic a) ⊥ N := rfl #align measure_theory.lower_crossing_time_zero MeasureTheory.lowerCrossingTime_zero theorem upperCrossingTime_succ : upperCrossingTime a b f N (n + 1) ω = hitting f (Set.Ici b) (lowerCrossingTimeAux a f (upperCrossingTime a b f N n ω) N ω) N ω := by rw [upperCrossingTime] #align measure_theory.upper_crossing_time_succ MeasureTheory.upperCrossingTime_succ theorem upperCrossingTime_succ_eq (ω : Ω) : upperCrossingTime a b f N (n + 1) ω = hitting f (Set.Ici b) (lowerCrossingTime a b f N n ω) N ω := by simp only [upperCrossingTime_succ] rfl #align measure_theory.upper_crossing_time_succ_eq MeasureTheory.upperCrossingTime_succ_eq end section ConditionallyCompleteLinearOrderBot variable [ConditionallyCompleteLinearOrderBot ι] variable {a b : ℝ} {f : ι → Ω → ℝ} {N : ι} {n m : ℕ} {ω : Ω}
Mathlib/Probability/Martingale/Upcrossing.lean
186
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theorem upperCrossingTime_le : upperCrossingTime a b f N n ω ≤ N := by
cases n · simp only [upperCrossingTime_zero, Pi.bot_apply, bot_le, Nat.zero_eq] · simp only [upperCrossingTime_succ, hitting_le]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.GCD.Basic import Mathlib.Init.Data.Nat.Lemmas import Mathlib.Logic.Function.Iterate import Mathlib.Tactic.Ring import Mathlib.Tactic.Zify #align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" namespace Nat -- Porting note: Lean cannot find pp_nodot at the time of this port. -- @[pp_nodot] def fib (n : ℕ) : ℕ := ((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst #align nat.fib Nat.fib @[simp] theorem fib_zero : fib 0 = 0 := rfl #align nat.fib_zero Nat.fib_zero @[simp] theorem fib_one : fib 1 = 1 := rfl #align nat.fib_one Nat.fib_one @[simp] theorem fib_two : fib 2 = 1 := rfl #align nat.fib_two Nat.fib_two theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by simp [fib, Function.iterate_succ_apply'] #align nat.fib_add_two Nat.fib_add_two lemma fib_add_one : ∀ {n}, n ≠ 0 → fib (n + 1) = fib (n - 1) + fib n | _n + 1, _ => fib_add_two theorem fib_le_fib_succ {n : ℕ} : fib n ≤ fib (n + 1) := by cases n <;> simp [fib_add_two] #align nat.fib_le_fib_succ Nat.fib_le_fib_succ @[mono] theorem fib_mono : Monotone fib := monotone_nat_of_le_succ fun _ => fib_le_fib_succ #align nat.fib_mono Nat.fib_mono @[simp] lemma fib_eq_zero : ∀ {n}, fib n = 0 ↔ n = 0 | 0 => Iff.rfl | 1 => Iff.rfl | n + 2 => by simp [fib_add_two, fib_eq_zero] @[simp] lemma fib_pos {n : ℕ} : 0 < fib n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.fib_pos Nat.fib_pos theorem fib_add_two_sub_fib_add_one {n : ℕ} : fib (n + 2) - fib (n + 1) = fib n := by rw [fib_add_two, add_tsub_cancel_right] #align nat.fib_add_two_sub_fib_add_one Nat.fib_add_two_sub_fib_add_one theorem fib_lt_fib_succ {n : ℕ} (hn : 2 ≤ n) : fib n < fib (n + 1) := by rcases exists_add_of_le hn with ⟨n, rfl⟩ rw [← tsub_pos_iff_lt, add_comm 2, add_right_comm, fib_add_two, add_tsub_cancel_right, fib_pos] exact succ_pos n #align nat.fib_lt_fib_succ Nat.fib_lt_fib_succ theorem fib_add_two_strictMono : StrictMono fun n => fib (n + 2) := by refine strictMono_nat_of_lt_succ fun n => ?_ rw [add_right_comm] exact fib_lt_fib_succ (self_le_add_left _ _) #align nat.fib_add_two_strict_mono Nat.fib_add_two_strictMono lemma fib_strictMonoOn : StrictMonoOn fib (Set.Ici 2) | _m + 2, _, _n + 2, _, hmn => fib_add_two_strictMono <| lt_of_add_lt_add_right hmn lemma fib_lt_fib {m : ℕ} (hm : 2 ≤ m) : ∀ {n}, fib m < fib n ↔ m < n | 0 => by simp [hm] | 1 => by simp [hm] | n + 2 => fib_strictMonoOn.lt_iff_lt hm <| by simp theorem le_fib_self {n : ℕ} (five_le_n : 5 ≤ n) : n ≤ fib n := by induction' five_le_n with n five_le_n IH ·-- 5 ≤ fib 5 rfl · -- n + 1 ≤ fib (n + 1) for 5 ≤ n rw [succ_le_iff] calc n ≤ fib n := IH _ < fib (n + 1) := fib_lt_fib_succ (le_trans (by decide) five_le_n) #align nat.le_fib_self Nat.le_fib_self lemma le_fib_add_one : ∀ n, n ≤ fib n + 1 | 0 => zero_le_one | 1 => one_le_two | 2 => le_rfl | 3 => le_rfl | 4 => le_rfl | _n + 5 => (le_fib_self le_add_self).trans <| le_succ _ theorem fib_coprime_fib_succ (n : ℕ) : Nat.Coprime (fib n) (fib (n + 1)) := by induction' n with n ih · simp · rw [fib_add_two] simp only [coprime_add_self_right] simp [Coprime, ih.symm] #align nat.fib_coprime_fib_succ Nat.fib_coprime_fib_succ theorem fib_add (m n : ℕ) : fib (m + n + 1) = fib m * fib n + fib (m + 1) * fib (n + 1) := by induction' n with n ih generalizing m · simp · specialize ih (m + 1) rw [add_assoc m 1 n, add_comm 1 n] at ih simp only [fib_add_two, succ_eq_add_one, ih] ring #align nat.fib_add Nat.fib_add theorem fib_two_mul (n : ℕ) : fib (2 * n) = fib n * (2 * fib (n + 1) - fib n) := by cases n · simp · rw [two_mul, ← add_assoc, fib_add, fib_add_two, two_mul] simp only [← add_assoc, add_tsub_cancel_right] ring #align nat.fib_two_mul Nat.fib_two_mul
Mathlib/Data/Nat/Fib/Basic.lean
182
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theorem fib_two_mul_add_one (n : ℕ) : fib (2 * n + 1) = fib (n + 1) ^ 2 + fib n ^ 2 := by
rw [two_mul, fib_add] ring