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import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Measure.Haar.Quotient import Mathlib.MeasureTheory.Constructions.Polish import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Topology.Algebra.Order.Floor #align_import measure_theory.integral.periodic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Function MeasureTheory MeasureTheory.Measure TopologicalSpace AddSubgroup intervalIntegral open scoped MeasureTheory NNReal ENNReal @[measurability] protected theorem AddCircle.measurable_mk' {a : ℝ} : Measurable (β := AddCircle a) ((↑) : ℝ → AddCircle a) := Continuous.measurable <| AddCircle.continuous_mk' a #align add_circle.measurable_mk' AddCircle.measurable_mk' theorem isAddFundamentalDomain_Ioc {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) : IsAddFundamentalDomain (AddSubgroup.zmultiples T) (Ioc t (t + T)) μ := by refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_ have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) := (Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective refine this.existsUnique_iff.2 ?_ simpa only [add_comm x] using existsUnique_add_zsmul_mem_Ioc hT x t #align is_add_fundamental_domain_Ioc isAddFundamentalDomain_Ioc theorem isAddFundamentalDomain_Ioc' {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) : IsAddFundamentalDomain (AddSubgroup.op <| .zmultiples T) (Ioc t (t + T)) μ := by refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_ have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) := (Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective refine (AddSubgroup.equivOp _).bijective.comp this |>.existsUnique_iff.2 ?_ simpa using existsUnique_add_zsmul_mem_Ioc hT x t #align is_add_fundamental_domain_Ioc' isAddFundamentalDomain_Ioc' variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] namespace Function namespace Periodic variable {f : ℝ → E} {T : ℝ} theorem intervalIntegral_add_eq_of_pos (hf : Periodic f T) (hT : 0 < T) (t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by simp only [integral_of_le, hT.le, le_add_iff_nonneg_right] haveI : VAddInvariantMeasure (AddSubgroup.zmultiples T) ℝ volume := ⟨fun c s _ => measure_preimage_add _ _ _⟩ apply IsAddFundamentalDomain.setIntegral_eq (G := AddSubgroup.zmultiples T) exacts [isAddFundamentalDomain_Ioc hT t, isAddFundamentalDomain_Ioc hT s, hf.map_vadd_zmultiples] #align function.periodic.interval_integral_add_eq_of_pos Function.Periodic.intervalIntegral_add_eq_of_pos theorem intervalIntegral_add_eq (hf : Periodic f T) (t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by rcases lt_trichotomy (0 : ℝ) T with (hT | rfl | hT) · exact hf.intervalIntegral_add_eq_of_pos hT t s · simp · rw [← neg_inj, ← integral_symm, ← integral_symm] simpa only [← sub_eq_add_neg, add_sub_cancel_right] using hf.neg.intervalIntegral_add_eq_of_pos (neg_pos.2 hT) (t + T) (s + T) #align function.periodic.interval_integral_add_eq Function.Periodic.intervalIntegral_add_eq theorem intervalIntegral_add_eq_add (hf : Periodic f T) (t s : ℝ) (h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) : ∫ x in t..s + T, f x = (∫ x in t..s, f x) + ∫ x in t..t + T, f x := by rw [hf.intervalIntegral_add_eq t s, integral_add_adjacent_intervals (h_int t s) (h_int s _)] #align function.periodic.interval_integral_add_eq_add Function.Periodic.intervalIntegral_add_eq_add
Mathlib/MeasureTheory/Integral/Periodic.lean
287
306
theorem intervalIntegral_add_zsmul_eq (hf : Periodic f T) (n : ℤ) (t : ℝ) (h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) : ∫ x in t..t + n • T, f x = n • ∫ x in t..t + T, f x := by
-- Reduce to the case `b = 0` suffices (∫ x in (0)..(n • T), f x) = n • ∫ x in (0)..T, f x by simp only [hf.intervalIntegral_add_eq t 0, (hf.zsmul n).intervalIntegral_add_eq t 0, zero_add, this] -- First prove it for natural numbers have : ∀ m : ℕ, (∫ x in (0)..m • T, f x) = m • ∫ x in (0)..T, f x := fun m ↦ by induction' m with m ih · simp · simp only [succ_nsmul, hf.intervalIntegral_add_eq_add 0 (m • T) h_int, ih, zero_add] -- Then prove it for all integers cases' n with n n · simp [← this n] · conv_rhs => rw [negSucc_zsmul] have h₀ : Int.negSucc n • T + (n + 1) • T = 0 := by simp; linarith rw [integral_symm, ← (hf.nsmul (n + 1)).funext, neg_inj] simp_rw [integral_comp_add_right, h₀, zero_add, this (n + 1), add_comm T, hf.intervalIntegral_add_eq ((n + 1) • T) 0, zero_add]
false
import Mathlib.Algebra.Module.Defs import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.LinearAlgebra.TensorProduct.Tower #align_import algebra.module.projective from "leanprover-community/mathlib"@"405ea5cee7a7070ff8fb8dcb4cfb003532e34bce" universe u v open LinearMap hiding id open Finsupp class Module.Projective (R : Type*) [Semiring R] (P : Type*) [AddCommMonoid P] [Module R P] : Prop where out : ∃ s : P →ₗ[R] P →₀ R, Function.LeftInverse (Finsupp.total P P R id) s #align module.projective Module.Projective namespace Module section Semiring variable {R : Type*} [Semiring R] {P : Type*} [AddCommMonoid P] [Module R P] {M : Type*} [AddCommMonoid M] [Module R M] {N : Type*} [AddCommMonoid N] [Module R N] theorem projective_def : Projective R P ↔ ∃ s : P →ₗ[R] P →₀ R, Function.LeftInverse (Finsupp.total P P R id) s := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align module.projective_def Module.projective_def theorem projective_def' : Projective R P ↔ ∃ s : P →ₗ[R] P →₀ R, Finsupp.total P P R id ∘ₗ s = .id := by simp_rw [projective_def, DFunLike.ext_iff, Function.LeftInverse, comp_apply, id_apply] #align module.projective_def' Module.projective_def'
Mathlib/Algebra/Module/Projective.lean
98
116
theorem projective_lifting_property [h : Projective R P] (f : M →ₗ[R] N) (g : P →ₗ[R] N) (hf : Function.Surjective f) : ∃ h : P →ₗ[R] M, f.comp h = g := by
/- Here's the first step of the proof. Recall that `X →₀ R` is Lean's way of talking about the free `R`-module on a type `X`. The universal property `Finsupp.total` says that to a map `X → N` from a type to an `R`-module, we get an associated R-module map `(X →₀ R) →ₗ N`. Apply this to a (noncomputable) map `P → M` coming from the map `P →ₗ N` and a random splitting of the surjection `M →ₗ N`, and we get a map `φ : (P →₀ R) →ₗ M`. -/ let φ : (P →₀ R) →ₗ[R] M := Finsupp.total _ _ _ fun p => Function.surjInv hf (g p) -- By projectivity we have a map `P →ₗ (P →₀ R)`; cases' h.out with s hs -- Compose to get `P →ₗ M`. This works. use φ.comp s ext p conv_rhs => rw [← hs p] simp [φ, Finsupp.total_apply, Function.surjInv_eq hf, map_finsupp_sum]
false
import Mathlib.Data.Real.Basic #align_import data.real.sign from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Real noncomputable def sign (r : ℝ) : ℝ := if r < 0 then -1 else if 0 < r then 1 else 0 #align real.sign Real.sign theorem sign_of_neg {r : ℝ} (hr : r < 0) : sign r = -1 := by rw [sign, if_pos hr] #align real.sign_of_neg Real.sign_of_neg theorem sign_of_pos {r : ℝ} (hr : 0 < r) : sign r = 1 := by rw [sign, if_pos hr, if_neg hr.not_lt] #align real.sign_of_pos Real.sign_of_pos @[simp] theorem sign_zero : sign 0 = 0 := by rw [sign, if_neg (lt_irrefl _), if_neg (lt_irrefl _)] #align real.sign_zero Real.sign_zero @[simp] theorem sign_one : sign 1 = 1 := sign_of_pos <| by norm_num #align real.sign_one Real.sign_one theorem sign_apply_eq (r : ℝ) : sign r = -1 ∨ sign r = 0 ∨ sign r = 1 := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · exact Or.inl <| sign_of_neg hn · exact Or.inr <| Or.inl <| sign_zero · exact Or.inr <| Or.inr <| sign_of_pos hp #align real.sign_apply_eq Real.sign_apply_eq theorem sign_apply_eq_of_ne_zero (r : ℝ) (h : r ≠ 0) : sign r = -1 ∨ sign r = 1 := h.lt_or_lt.imp sign_of_neg sign_of_pos #align real.sign_apply_eq_of_ne_zero Real.sign_apply_eq_of_ne_zero @[simp] theorem sign_eq_zero_iff {r : ℝ} : sign r = 0 ↔ r = 0 := by refine ⟨fun h => ?_, fun h => h.symm ▸ sign_zero⟩ obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn, neg_eq_zero] at h exact (one_ne_zero h).elim · rfl · rw [sign_of_pos hp] at h exact (one_ne_zero h).elim #align real.sign_eq_zero_iff Real.sign_eq_zero_iff theorem sign_intCast (z : ℤ) : sign (z : ℝ) = ↑(Int.sign z) := by obtain hn | rfl | hp := lt_trichotomy z (0 : ℤ) · rw [sign_of_neg (Int.cast_lt_zero.mpr hn), Int.sign_eq_neg_one_of_neg hn, Int.cast_neg, Int.cast_one] · rw [Int.cast_zero, sign_zero, Int.sign_zero, Int.cast_zero] · rw [sign_of_pos (Int.cast_pos.mpr hp), Int.sign_eq_one_of_pos hp, Int.cast_one] #align real.sign_int_cast Real.sign_intCast @[deprecated (since := "2024-04-17")] alias sign_int_cast := sign_intCast theorem sign_neg {r : ℝ} : sign (-r) = -sign r := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn, sign_of_pos (neg_pos.mpr hn), neg_neg] · rw [sign_zero, neg_zero, sign_zero] · rw [sign_of_pos hp, sign_of_neg (neg_lt_zero.mpr hp)] #align real.sign_neg Real.sign_neg
Mathlib/Data/Real/Sign.lean
92
98
theorem sign_mul_nonneg (r : ℝ) : 0 ≤ sign r * r := by
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn] exact mul_nonneg_of_nonpos_of_nonpos (by norm_num) hn.le · rw [mul_zero] · rw [sign_of_pos hp, one_mul] exact hp.le
false
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.HasseDeriv #align_import data.polynomial.taylor from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section namespace Polynomial open Polynomial variable {R : Type*} [Semiring R] (r : R) (f : R[X]) def taylor (r : R) : R[X] →ₗ[R] R[X] where toFun f := f.comp (X + C r) map_add' f g := add_comp map_smul' c f := by simp only [smul_eq_C_mul, C_mul_comp, RingHom.id_apply] #align polynomial.taylor Polynomial.taylor theorem taylor_apply : taylor r f = f.comp (X + C r) := rfl #align polynomial.taylor_apply Polynomial.taylor_apply @[simp] theorem taylor_X : taylor r X = X + C r := by simp only [taylor_apply, X_comp] set_option linter.uppercaseLean3 false in #align polynomial.taylor_X Polynomial.taylor_X @[simp] theorem taylor_C (x : R) : taylor r (C x) = C x := by simp only [taylor_apply, C_comp] set_option linter.uppercaseLean3 false in #align polynomial.taylor_C Polynomial.taylor_C @[simp] theorem taylor_zero' : taylor (0 : R) = LinearMap.id := by ext simp only [taylor_apply, add_zero, comp_X, _root_.map_zero, LinearMap.id_comp, Function.comp_apply, LinearMap.coe_comp] #align polynomial.taylor_zero' Polynomial.taylor_zero' theorem taylor_zero (f : R[X]) : taylor 0 f = f := by rw [taylor_zero', LinearMap.id_apply] #align polynomial.taylor_zero Polynomial.taylor_zero @[simp] theorem taylor_one : taylor r (1 : R[X]) = C 1 := by rw [← C_1, taylor_C] #align polynomial.taylor_one Polynomial.taylor_one @[simp] theorem taylor_monomial (i : ℕ) (k : R) : taylor r (monomial i k) = C k * (X + C r) ^ i := by simp [taylor_apply] #align polynomial.taylor_monomial Polynomial.taylor_monomial theorem taylor_coeff (n : ℕ) : (taylor r f).coeff n = (hasseDeriv n f).eval r := show (lcoeff R n).comp (taylor r) f = (leval r).comp (hasseDeriv n) f by congr 1; clear! f; ext i simp only [leval_apply, mul_one, one_mul, eval_monomial, LinearMap.comp_apply, coeff_C_mul, hasseDeriv_monomial, taylor_apply, monomial_comp, C_1, (commute_X (C r)).add_pow i, map_sum] simp only [lcoeff_apply, ← C_eq_natCast, mul_assoc, ← C_pow, ← C_mul, coeff_mul_C, (Nat.cast_commute _ _).eq, coeff_X_pow, boole_mul, Finset.sum_ite_eq, Finset.mem_range] split_ifs with h; · rfl push_neg at h; rw [Nat.choose_eq_zero_of_lt h, Nat.cast_zero, mul_zero] #align polynomial.taylor_coeff Polynomial.taylor_coeff @[simp] theorem taylor_coeff_zero : (taylor r f).coeff 0 = f.eval r := by rw [taylor_coeff, hasseDeriv_zero, LinearMap.id_apply] #align polynomial.taylor_coeff_zero Polynomial.taylor_coeff_zero @[simp] theorem taylor_coeff_one : (taylor r f).coeff 1 = f.derivative.eval r := by rw [taylor_coeff, hasseDeriv_one] #align polynomial.taylor_coeff_one Polynomial.taylor_coeff_one @[simp]
Mathlib/Algebra/Polynomial/Taylor.lean
98
102
theorem natDegree_taylor (p : R[X]) (r : R) : natDegree (taylor r p) = natDegree p := by
refine map_natDegree_eq_natDegree _ ?_ nontriviality R intro n c c0 simp [taylor_monomial, natDegree_C_mul_eq_of_mul_ne_zero, natDegree_pow_X_add_C, c0]
false
import Mathlib.SetTheory.Game.State #align_import set_theory.game.domineering from "leanprover-community/mathlib"@"b134b2f5cf6dd25d4bbfd3c498b6e36c11a17225" namespace SetTheory namespace PGame namespace Domineering open Function @[simps!] def shiftUp : ℤ × ℤ ≃ ℤ × ℤ := (Equiv.refl ℤ).prodCongr (Equiv.addRight (1 : ℤ)) #align pgame.domineering.shift_up SetTheory.PGame.Domineering.shiftUp @[simps!] def shiftRight : ℤ × ℤ ≃ ℤ × ℤ := (Equiv.addRight (1 : ℤ)).prodCongr (Equiv.refl ℤ) #align pgame.domineering.shift_right SetTheory.PGame.Domineering.shiftRight -- Porting note: reducibility cannot be `local`. For now there are no dependents of this file so -- being globally reducible is fine. abbrev Board := Finset (ℤ × ℤ) #align pgame.domineering.board SetTheory.PGame.Domineering.Board def left (b : Board) : Finset (ℤ × ℤ) := b ∩ b.map shiftUp #align pgame.domineering.left SetTheory.PGame.Domineering.left def right (b : Board) : Finset (ℤ × ℤ) := b ∩ b.map shiftRight #align pgame.domineering.right SetTheory.PGame.Domineering.right theorem mem_left {b : Board} (x : ℤ × ℤ) : x ∈ left b ↔ x ∈ b ∧ (x.1, x.2 - 1) ∈ b := Finset.mem_inter.trans (and_congr Iff.rfl Finset.mem_map_equiv) #align pgame.domineering.mem_left SetTheory.PGame.Domineering.mem_left theorem mem_right {b : Board} (x : ℤ × ℤ) : x ∈ right b ↔ x ∈ b ∧ (x.1 - 1, x.2) ∈ b := Finset.mem_inter.trans (and_congr Iff.rfl Finset.mem_map_equiv) #align pgame.domineering.mem_right SetTheory.PGame.Domineering.mem_right def moveLeft (b : Board) (m : ℤ × ℤ) : Board := (b.erase m).erase (m.1, m.2 - 1) #align pgame.domineering.move_left SetTheory.PGame.Domineering.moveLeft def moveRight (b : Board) (m : ℤ × ℤ) : Board := (b.erase m).erase (m.1 - 1, m.2) #align pgame.domineering.move_right SetTheory.PGame.Domineering.moveRight theorem fst_pred_mem_erase_of_mem_right {b : Board} {m : ℤ × ℤ} (h : m ∈ right b) : (m.1 - 1, m.2) ∈ b.erase m := by rw [mem_right] at h apply Finset.mem_erase_of_ne_of_mem _ h.2 exact ne_of_apply_ne Prod.fst (pred_ne_self m.1) #align pgame.domineering.fst_pred_mem_erase_of_mem_right SetTheory.PGame.Domineering.fst_pred_mem_erase_of_mem_right theorem snd_pred_mem_erase_of_mem_left {b : Board} {m : ℤ × ℤ} (h : m ∈ left b) : (m.1, m.2 - 1) ∈ b.erase m := by rw [mem_left] at h apply Finset.mem_erase_of_ne_of_mem _ h.2 exact ne_of_apply_ne Prod.snd (pred_ne_self m.2) #align pgame.domineering.snd_pred_mem_erase_of_mem_left SetTheory.PGame.Domineering.snd_pred_mem_erase_of_mem_left
Mathlib/SetTheory/Game/Domineering.lean
93
98
theorem card_of_mem_left {b : Board} {m : ℤ × ℤ} (h : m ∈ left b) : 2 ≤ Finset.card b := by
have w₁ : m ∈ b := (Finset.mem_inter.1 h).1 have w₂ : (m.1, m.2 - 1) ∈ b.erase m := snd_pred_mem_erase_of_mem_left h have i₁ := Finset.card_erase_lt_of_mem w₁ have i₂ := Nat.lt_of_le_of_lt (Nat.zero_le _) (Finset.card_erase_lt_of_mem w₂) exact Nat.lt_of_le_of_lt i₂ i₁
false
import Mathlib.Algebra.Module.BigOperators import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Nat.ModEq import Mathlib.Data.Set.Finite #align_import combinatorics.pigeonhole from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" universe u v w variable {α : Type u} {β : Type v} {M : Type w} [DecidableEq β] open Nat namespace Finset variable {s : Finset α} {t : Finset β} {f : α → β} {w : α → M} {b : M} {n : ℕ} section variable [LinearOrderedCancelAddCommMonoid M] theorem exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum (hf : ∀ a ∈ s, f a ∈ t) (hb : t.card • b < ∑ x ∈ s, w x) : ∃ y ∈ t, b < ∑ x ∈ s.filter fun x => f x = y, w x := exists_lt_of_sum_lt <| by simpa only [sum_fiberwise_of_maps_to hf, sum_const] #align finset.exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum Finset.exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum theorem exists_sum_fiber_lt_of_maps_to_of_sum_lt_nsmul (hf : ∀ a ∈ s, f a ∈ t) (hb : ∑ x ∈ s, w x < t.card • b) : ∃ y ∈ t, ∑ x ∈ s.filter fun x => f x = y, w x < b := exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum (M := Mᵒᵈ) hf hb #align finset.exists_sum_fiber_lt_of_maps_to_of_sum_lt_nsmul Finset.exists_sum_fiber_lt_of_maps_to_of_sum_lt_nsmul
Mathlib/Combinatorics/Pigeonhole.lean
134
141
theorem exists_lt_sum_fiber_of_sum_fiber_nonpos_of_nsmul_lt_sum (ht : ∀ y ∉ t, ∑ x ∈ s.filter fun x => f x = y, w x ≤ 0) (hb : t.card • b < ∑ x ∈ s, w x) : ∃ y ∈ t, b < ∑ x ∈ s.filter fun x => f x = y, w x := exists_lt_of_sum_lt <| calc ∑ _y ∈ t, b < ∑ x ∈ s, w x := by
simpa _ ≤ ∑ y ∈ t, ∑ x ∈ s.filter fun x => f x = y, w x := sum_le_sum_fiberwise_of_sum_fiber_nonpos ht
false
import Mathlib.Data.Complex.Basic import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.circle_transform from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15" open Set MeasureTheory Metric Filter Function open scoped Interval Real noncomputable section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] (R : ℝ) (z w : ℂ) namespace Complex def circleTransform (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • (circleMap z R θ - w)⁻¹ • f (circleMap z R θ) #align complex.circle_transform Complex.circleTransform def circleTransformDeriv (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • ((circleMap z R θ - w) ^ 2)⁻¹ • f (circleMap z R θ) #align complex.circle_transform_deriv Complex.circleTransformDeriv theorem circleTransformDeriv_periodic (f : ℂ → E) : Periodic (circleTransformDeriv R z w f) (2 * π) := by have := periodic_circleMap simp_rw [Periodic] at * intro x simp_rw [circleTransformDeriv, this] congr 2 simp [this] #align complex.circle_transform_deriv_periodic Complex.circleTransformDeriv_periodic theorem circleTransformDeriv_eq (f : ℂ → E) : circleTransformDeriv R z w f = fun θ => (circleMap z R θ - w)⁻¹ • circleTransform R z w f θ := by ext simp_rw [circleTransformDeriv, circleTransform, ← mul_smul, ← mul_assoc] ring_nf rw [inv_pow] congr ring #align complex.circle_transform_deriv_eq Complex.circleTransformDeriv_eq
Mathlib/MeasureTheory/Integral/CircleTransform.lean
68
72
theorem integral_circleTransform (f : ℂ → E) : (∫ θ : ℝ in (0)..2 * π, circleTransform R z w f θ) = (2 * ↑π * I)⁻¹ • ∮ z in C(z, R), (z - w)⁻¹ • f z := by
simp_rw [circleTransform, circleIntegral, deriv_circleMap, circleMap] simp
false
import Mathlib.Algebra.ContinuedFractions.Basic import Mathlib.Algebra.GroupWithZero.Basic #align_import algebra.continued_fractions.translations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction section General variable {α : Type*} {g : GeneralizedContinuedFraction α} {n : ℕ} theorem terminatedAt_iff_s_terminatedAt : g.TerminatedAt n ↔ g.s.TerminatedAt n := by rfl #align generalized_continued_fraction.terminated_at_iff_s_terminated_at GeneralizedContinuedFraction.terminatedAt_iff_s_terminatedAt theorem terminatedAt_iff_s_none : g.TerminatedAt n ↔ g.s.get? n = none := by rfl #align generalized_continued_fraction.terminated_at_iff_s_none GeneralizedContinuedFraction.terminatedAt_iff_s_none theorem part_num_none_iff_s_none : g.partialNumerators.get? n = none ↔ g.s.get? n = none := by cases s_nth_eq : g.s.get? n <;> simp [partialNumerators, s_nth_eq] #align generalized_continued_fraction.part_num_none_iff_s_none GeneralizedContinuedFraction.part_num_none_iff_s_none
Mathlib/Algebra/ContinuedFractions/Translations.lean
45
46
theorem terminatedAt_iff_part_num_none : g.TerminatedAt n ↔ g.partialNumerators.get? n = none := by
rw [terminatedAt_iff_s_none, part_num_none_iff_s_none]
false
import Mathlib.Algebra.Ring.Prod import Mathlib.GroupTheory.OrderOfElement import Mathlib.Tactic.FinCases #align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7" assert_not_exists Submodule open Function namespace ZMod instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ) def val : ∀ {n : ℕ}, ZMod n → ℕ | 0 => Int.natAbs | n + 1 => ((↑) : Fin (n + 1) → ℕ) #align zmod.val ZMod.val theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by cases n · cases NeZero.ne 0 rfl exact Fin.is_lt a #align zmod.val_lt ZMod.val_lt theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n := a.val_lt.le #align zmod.val_le ZMod.val_le @[simp] theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0 | 0 => rfl | _ + 1 => rfl #align zmod.val_zero ZMod.val_zero @[simp] theorem val_one' : (1 : ZMod 0).val = 1 := rfl #align zmod.val_one' ZMod.val_one' @[simp] theorem val_neg' {n : ZMod 0} : (-n).val = n.val := Int.natAbs_neg n #align zmod.val_neg' ZMod.val_neg' @[simp] theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val := Int.natAbs_mul m n #align zmod.val_mul' ZMod.val_mul' @[simp] theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by cases n · rw [Nat.mod_zero] exact Int.natAbs_ofNat a · apply Fin.val_natCast #align zmod.val_nat_cast ZMod.val_natCast @[deprecated (since := "2024-04-17")] alias val_nat_cast := val_natCast
Mathlib/Data/ZMod/Basic.lean
94
96
theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by
simp only [val] rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one]
false
import Mathlib.Algebra.Order.Monoid.Defs import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Util.AssertExists #align_import algebra.order.group.defs from "leanprover-community/mathlib"@"b599f4e4e5cf1fbcb4194503671d3d9e569c1fce" open Function universe u variable {α : Type u} class OrderedAddCommGroup (α : Type u) extends AddCommGroup α, PartialOrder α where protected add_le_add_left : ∀ a b : α, a ≤ b → ∀ c : α, c + a ≤ c + b #align ordered_add_comm_group OrderedAddCommGroup class OrderedCommGroup (α : Type u) extends CommGroup α, PartialOrder α where protected mul_le_mul_left : ∀ a b : α, a ≤ b → ∀ c : α, c * a ≤ c * b #align ordered_comm_group OrderedCommGroup attribute [to_additive] OrderedCommGroup @[to_additive] instance OrderedCommGroup.to_covariantClass_left_le (α : Type u) [OrderedCommGroup α] : CovariantClass α α (· * ·) (· ≤ ·) where elim a b c bc := OrderedCommGroup.mul_le_mul_left b c bc a #align ordered_comm_group.to_covariant_class_left_le OrderedCommGroup.to_covariantClass_left_le #align ordered_add_comm_group.to_covariant_class_left_le OrderedAddCommGroup.to_covariantClass_left_le -- See note [lower instance priority] @[to_additive OrderedAddCommGroup.toOrderedCancelAddCommMonoid] instance (priority := 100) OrderedCommGroup.toOrderedCancelCommMonoid [OrderedCommGroup α] : OrderedCancelCommMonoid α := { ‹OrderedCommGroup α› with le_of_mul_le_mul_left := fun a b c ↦ le_of_mul_le_mul_left' } #align ordered_comm_group.to_ordered_cancel_comm_monoid OrderedCommGroup.toOrderedCancelCommMonoid #align ordered_add_comm_group.to_ordered_cancel_add_comm_monoid OrderedAddCommGroup.toOrderedCancelAddCommMonoid example (α : Type u) [OrderedAddCommGroup α] : CovariantClass α α (swap (· + ·)) (· < ·) := IsRightCancelAdd.covariant_swap_add_lt_of_covariant_swap_add_le α -- Porting note: this instance is not used, -- and causes timeouts after lean4#2210. -- It was introduced in https://github.com/leanprover-community/mathlib/pull/17564 -- but without the motivation clearly explained. @[to_additive "A choice-free shortcut instance."] theorem OrderedCommGroup.to_contravariantClass_left_le (α : Type u) [OrderedCommGroup α] : ContravariantClass α α (· * ·) (· ≤ ·) where elim a b c bc := by simpa using mul_le_mul_left' bc a⁻¹ #align ordered_comm_group.to_contravariant_class_left_le OrderedCommGroup.to_contravariantClass_left_le #align ordered_add_comm_group.to_contravariant_class_left_le OrderedAddCommGroup.to_contravariantClass_left_le -- Porting note: this instance is not used, -- and causes timeouts after lean4#2210. -- See further explanation on `OrderedCommGroup.to_contravariantClass_left_le`. @[to_additive "A choice-free shortcut instance."] theorem OrderedCommGroup.to_contravariantClass_right_le (α : Type u) [OrderedCommGroup α] : ContravariantClass α α (swap (· * ·)) (· ≤ ·) where elim a b c bc := by simpa using mul_le_mul_right' bc a⁻¹ #align ordered_comm_group.to_contravariant_class_right_le OrderedCommGroup.to_contravariantClass_right_le #align ordered_add_comm_group.to_contravariant_class_right_le OrderedAddCommGroup.to_contravariantClass_right_le section Group variable [Group α] section TypeclassesLeftRightLT variable [LT α] [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (swap (· * ·)) (· < ·)] {a b c d : α} @[to_additive (attr := simp)]
Mathlib/Algebra/Order/Group/Defs.lean
382
384
theorem inv_lt_inv_iff : a⁻¹ < b⁻¹ ↔ b < a := by
rw [← mul_lt_mul_iff_left a, ← mul_lt_mul_iff_right b] simp
false
import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Group.Int import Mathlib.Data.Nat.Dist import Mathlib.Data.Ordmap.Ordnode import Mathlib.Tactic.Abel import Mathlib.Tactic.Linarith #align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69" variable {α : Type*} namespace Ordnode theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 := not_le_of_gt H #align ordnode.not_le_delta Ordnode.not_le_delta theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False := not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta) #align ordnode.delta_lt_false Ordnode.delta_lt_false def realSize : Ordnode α → ℕ | nil => 0 | node _ l _ r => realSize l + realSize r + 1 #align ordnode.real_size Ordnode.realSize def Sized : Ordnode α → Prop | nil => True | node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r #align ordnode.sized Ordnode.Sized theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) := ⟨rfl, hl, hr⟩ #align ordnode.sized.node' Ordnode.Sized.node' theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by rw [h.1] #align ordnode.sized.eq_node' Ordnode.Sized.eq_node' theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) : size (@node α s l x r) = size l + size r + 1 := H.1 #align ordnode.sized.size_eq Ordnode.Sized.size_eq @[elab_as_elim] theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil) (H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by induction t with | nil => exact H0 | node _ _ _ _ t_ih_l t_ih_r => rw [hl.eq_node'] exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2) #align ordnode.sized.induction Ordnode.Sized.induction theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t | nil, _ => rfl | node s l x r, ⟨h₁, h₂, h₃⟩ => by rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl #align ordnode.size_eq_real_size Ordnode.size_eq_realSize @[simp] theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by cases t <;> [simp;simp [ht.1]] #align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero
Mathlib/Data/Ordmap/Ordset.lean
144
145
theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by
rw [h.1]; apply Nat.le_add_left
false
import Mathlib.Analysis.Calculus.FDeriv.Linear import Mathlib.Analysis.Calculus.FDeriv.Comp #align_import analysis.calculus.fderiv.prod from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" open Filter Asymptotics ContinuousLinearMap Set Metric open scoped Classical open Topology NNReal Filter Asymptotics ENNReal noncomputable section section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E} section CartesianProduct section Pi variable {ι : Type*} [Fintype ι] {F' : ι → Type*} [∀ i, NormedAddCommGroup (F' i)] [∀ i, NormedSpace 𝕜 (F' i)] {φ : ∀ i, E → F' i} {φ' : ∀ i, E →L[𝕜] F' i} {Φ : E → ∀ i, F' i} {Φ' : E →L[𝕜] ∀ i, F' i} @[simp] theorem hasStrictFDerivAt_pi' : HasStrictFDerivAt Φ Φ' x ↔ ∀ i, HasStrictFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x := by simp only [HasStrictFDerivAt, ContinuousLinearMap.coe_pi] exact isLittleO_pi #align has_strict_fderiv_at_pi' hasStrictFDerivAt_pi' @[fun_prop] theorem hasStrictFDerivAt_pi'' (hφ : ∀ i, HasStrictFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x) : HasStrictFDerivAt Φ Φ' x := hasStrictFDerivAt_pi'.2 hφ @[fun_prop] theorem hasStrictFDerivAt_apply (i : ι) (f : ∀ i, F' i) : HasStrictFDerivAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) f := by let id' := ContinuousLinearMap.id 𝕜 (∀ i, F' i) have h := ((hasStrictFDerivAt_pi' (Φ := fun (f : ∀ i, F' i) (i' : ι) => f i') (Φ':=id') (x:=f))).1 have h' : comp (proj i) id' = proj i := by rfl rw [← h']; apply h; apply hasStrictFDerivAt_id @[simp 1100] -- Porting note: increased priority to make lint happy theorem hasStrictFDerivAt_pi : HasStrictFDerivAt (fun x i => φ i x) (ContinuousLinearMap.pi φ') x ↔ ∀ i, HasStrictFDerivAt (φ i) (φ' i) x := hasStrictFDerivAt_pi' #align has_strict_fderiv_at_pi hasStrictFDerivAt_pi @[simp] theorem hasFDerivAtFilter_pi' : HasFDerivAtFilter Φ Φ' x L ↔ ∀ i, HasFDerivAtFilter (fun x => Φ x i) ((proj i).comp Φ') x L := by simp only [hasFDerivAtFilter_iff_isLittleO, ContinuousLinearMap.coe_pi] exact isLittleO_pi #align has_fderiv_at_filter_pi' hasFDerivAtFilter_pi' theorem hasFDerivAtFilter_pi : HasFDerivAtFilter (fun x i => φ i x) (ContinuousLinearMap.pi φ') x L ↔ ∀ i, HasFDerivAtFilter (φ i) (φ' i) x L := hasFDerivAtFilter_pi' #align has_fderiv_at_filter_pi hasFDerivAtFilter_pi @[simp] theorem hasFDerivAt_pi' : HasFDerivAt Φ Φ' x ↔ ∀ i, HasFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x := hasFDerivAtFilter_pi' #align has_fderiv_at_pi' hasFDerivAt_pi' @[fun_prop] theorem hasFDerivAt_pi'' (hφ : ∀ i, HasFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x) : HasFDerivAt Φ Φ' x := hasFDerivAt_pi'.2 hφ @[fun_prop] theorem hasFDerivAt_apply (i : ι) (f : ∀ i, F' i) : HasFDerivAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) f := by apply HasStrictFDerivAt.hasFDerivAt apply hasStrictFDerivAt_apply theorem hasFDerivAt_pi : HasFDerivAt (fun x i => φ i x) (ContinuousLinearMap.pi φ') x ↔ ∀ i, HasFDerivAt (φ i) (φ' i) x := hasFDerivAtFilter_pi #align has_fderiv_at_pi hasFDerivAt_pi @[simp] theorem hasFDerivWithinAt_pi' : HasFDerivWithinAt Φ Φ' s x ↔ ∀ i, HasFDerivWithinAt (fun x => Φ x i) ((proj i).comp Φ') s x := hasFDerivAtFilter_pi' #align has_fderiv_within_at_pi' hasFDerivWithinAt_pi' @[fun_prop] theorem hasFDerivWithinAt_pi'' (hφ : ∀ i, HasFDerivWithinAt (fun x => Φ x i) ((proj i).comp Φ') s x) : HasFDerivWithinAt Φ Φ' s x := hasFDerivWithinAt_pi'.2 hφ @[fun_prop]
Mathlib/Analysis/Calculus/FDeriv/Prod.lean
474
480
theorem hasFDerivWithinAt_apply (i : ι) (f : ∀ i, F' i) (s' : Set (∀ i, F' i)) : HasFDerivWithinAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) s' f := by
let id' := ContinuousLinearMap.id 𝕜 (∀ i, F' i) have h := ((hasFDerivWithinAt_pi' (Φ := fun (f : ∀ i, F' i) (i' : ι) => f i') (Φ':=id') (x:=f) (s:=s'))).1 have h' : comp (proj i) id' = proj i := by rfl rw [← h']; apply h; apply hasFDerivWithinAt_id
false
import Batteries.Tactic.Lint.Basic import Mathlib.Algebra.Order.Monoid.Unbundled.Basic import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.Nat.Cast.Order import Mathlib.Init.Data.Int.Order set_option autoImplicit true namespace Linarith theorem lt_irrefl {α : Type u} [Preorder α] {a : α} : ¬a < a := _root_.lt_irrefl a theorem eq_of_eq_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b = 0) : a + b = 0 := by simp [*] theorem le_of_eq_of_le {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b ≤ 0) : a + b ≤ 0 := by simp [*] theorem lt_of_eq_of_lt {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b < 0) : a + b < 0 := by simp [*] theorem le_of_le_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a ≤ 0) (hb : b = 0) : a + b ≤ 0 := by simp [*]
Mathlib/Tactic/Linarith/Lemmas.lean
39
40
theorem lt_of_lt_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a < 0) (hb : b = 0) : a + b < 0 := by
simp [*]
false
import Mathlib.Analysis.InnerProductSpace.Spectrum import Mathlib.Data.Matrix.Rank import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Hermitian #align_import linear_algebra.matrix.spectrum from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" namespace Matrix variable {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] variable {A : Matrix n n 𝕜} namespace IsHermitian section DecidableEq variable [DecidableEq n] variable (hA : A.IsHermitian) noncomputable def eigenvalues₀ : Fin (Fintype.card n) → ℝ := (isHermitian_iff_isSymmetric.1 hA).eigenvalues finrank_euclideanSpace #align matrix.is_hermitian.eigenvalues₀ Matrix.IsHermitian.eigenvalues₀ noncomputable def eigenvalues : n → ℝ := fun i => hA.eigenvalues₀ <| (Fintype.equivOfCardEq (Fintype.card_fin _)).symm i #align matrix.is_hermitian.eigenvalues Matrix.IsHermitian.eigenvalues noncomputable def eigenvectorBasis : OrthonormalBasis n 𝕜 (EuclideanSpace 𝕜 n) := ((isHermitian_iff_isSymmetric.1 hA).eigenvectorBasis finrank_euclideanSpace).reindex (Fintype.equivOfCardEq (Fintype.card_fin _)) #align matrix.is_hermitian.eigenvector_basis Matrix.IsHermitian.eigenvectorBasis lemma mulVec_eigenvectorBasis (j : n) : A *ᵥ ⇑(hA.eigenvectorBasis j) = (hA.eigenvalues j) • ⇑(hA.eigenvectorBasis j) := by simpa only [eigenvectorBasis, OrthonormalBasis.reindex_apply, toEuclideanLin_apply, RCLike.real_smul_eq_coe_smul (K := 𝕜)] using congr(⇑$((isHermitian_iff_isSymmetric.1 hA).apply_eigenvectorBasis finrank_euclideanSpace ((Fintype.equivOfCardEq (Fintype.card_fin _)).symm j))) noncomputable def eigenvectorUnitary {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) : Matrix.unitaryGroup n 𝕜 := ⟨(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis, (EuclideanSpace.basisFun n 𝕜).toMatrix_orthonormalBasis_mem_unitary (eigenvectorBasis hA)⟩ #align matrix.is_hermitian.eigenvector_matrix Matrix.IsHermitian.eigenvectorUnitary lemma eigenvectorUnitary_coe {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] {A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) : eigenvectorUnitary hA = (EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis := rfl @[simp] theorem eigenvectorUnitary_apply (i j : n) : eigenvectorUnitary hA i j = ⇑(hA.eigenvectorBasis j) i := rfl #align matrix.is_hermitian.eigenvector_matrix_apply Matrix.IsHermitian.eigenvectorUnitary_apply theorem eigenvectorUnitary_mulVec (j : n) : eigenvectorUnitary hA *ᵥ Pi.single j 1 = ⇑(hA.eigenvectorBasis j) := by simp only [mulVec_single, eigenvectorUnitary_apply, mul_one]
Mathlib/LinearAlgebra/Matrix/Spectrum.lean
82
84
theorem star_eigenvectorUnitary_mulVec (j : n) : (star (eigenvectorUnitary hA : Matrix n n 𝕜)) *ᵥ ⇑(hA.eigenvectorBasis j) = Pi.single j 1 := by
rw [← eigenvectorUnitary_mulVec, mulVec_mulVec, unitary.coe_star_mul_self, one_mulVec]
false
import Mathlib.LinearAlgebra.Matrix.Trace #align_import data.matrix.hadamard from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" variable {α β γ m n : Type*} variable {R : Type*} namespace Matrix open Matrix def hadamard [Mul α] (A : Matrix m n α) (B : Matrix m n α) : Matrix m n α := of fun i j => A i j * B i j #align matrix.hadamard Matrix.hadamard -- TODO: set as an equation lemma for `hadamard`, see mathlib4#3024 @[simp] theorem hadamard_apply [Mul α] (A : Matrix m n α) (B : Matrix m n α) (i j) : hadamard A B i j = A i j * B i j := rfl #align matrix.hadamard_apply Matrix.hadamard_apply scoped infixl:100 " ⊙ " => Matrix.hadamard section BasicProperties variable (A : Matrix m n α) (B : Matrix m n α) (C : Matrix m n α) -- commutativity theorem hadamard_comm [CommSemigroup α] : A ⊙ B = B ⊙ A := ext fun _ _ => mul_comm _ _ #align matrix.hadamard_comm Matrix.hadamard_comm -- associativity theorem hadamard_assoc [Semigroup α] : A ⊙ B ⊙ C = A ⊙ (B ⊙ C) := ext fun _ _ => mul_assoc _ _ _ #align matrix.hadamard_assoc Matrix.hadamard_assoc -- distributivity theorem hadamard_add [Distrib α] : A ⊙ (B + C) = A ⊙ B + A ⊙ C := ext fun _ _ => left_distrib _ _ _ #align matrix.hadamard_add Matrix.hadamard_add theorem add_hadamard [Distrib α] : (B + C) ⊙ A = B ⊙ A + C ⊙ A := ext fun _ _ => right_distrib _ _ _ #align matrix.add_hadamard Matrix.add_hadamard -- scalar multiplication section One variable [DecidableEq n] [MulZeroOneClass α] variable (M : Matrix n n α) theorem hadamard_one : M ⊙ (1 : Matrix n n α) = diagonal fun i => M i i := by ext i j by_cases h: i = j <;> simp [h] #align matrix.hadamard_one Matrix.hadamard_one
Mathlib/Data/Matrix/Hadamard.lean
121
123
theorem one_hadamard : (1 : Matrix n n α) ⊙ M = diagonal fun i => M i i := by
ext i j by_cases h : i = j <;> simp [h]
false
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.IdealOperations import Mathlib.Order.Hom.Basic #align_import algebra.lie.solvable from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476" universe u v w w₁ w₂ variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L'] variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L} namespace LieAlgebra def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L := (fun I => ⁅I, I⁆)^[k] #align lie_algebra.derived_series_of_ideal LieAlgebra.derivedSeriesOfIdeal @[simp] theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I := rfl #align lie_algebra.derived_series_of_ideal_zero LieAlgebra.derivedSeriesOfIdeal_zero @[simp] theorem derivedSeriesOfIdeal_succ (k : ℕ) : derivedSeriesOfIdeal R L (k + 1) I = ⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ := Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I #align lie_algebra.derived_series_of_ideal_succ LieAlgebra.derivedSeriesOfIdeal_succ abbrev derivedSeries (k : ℕ) : LieIdeal R L := derivedSeriesOfIdeal R L k ⊤ #align lie_algebra.derived_series LieAlgebra.derivedSeries theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ := rfl #align lie_algebra.derived_series_def LieAlgebra.derivedSeries_def variable {R L} local notation "D" => derivedSeriesOfIdeal R L theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by induction' k with k ih · rw [Nat.zero_add, derivedSeriesOfIdeal_zero] · rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih] #align lie_algebra.derived_series_of_ideal_add LieAlgebra.derivedSeriesOfIdeal_add @[mono] theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) : D k I ≤ D l J := by revert l; induction' k with k ih <;> intro l h₂ · rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁ · have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂ cases' h with h h · rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ] exact LieSubmodule.mono_lie _ _ _ _ (ih (le_refl k)) (ih (le_refl k)) · rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h) #align lie_algebra.derived_series_of_ideal_le LieAlgebra.derivedSeriesOfIdeal_le theorem derivedSeriesOfIdeal_succ_le (k : ℕ) : D (k + 1) I ≤ D k I := derivedSeriesOfIdeal_le (le_refl I) k.le_succ #align lie_algebra.derived_series_of_ideal_succ_le LieAlgebra.derivedSeriesOfIdeal_succ_le theorem derivedSeriesOfIdeal_le_self (k : ℕ) : D k I ≤ I := derivedSeriesOfIdeal_le (le_refl I) (zero_le k) #align lie_algebra.derived_series_of_ideal_le_self LieAlgebra.derivedSeriesOfIdeal_le_self theorem derivedSeriesOfIdeal_mono {I J : LieIdeal R L} (h : I ≤ J) (k : ℕ) : D k I ≤ D k J := derivedSeriesOfIdeal_le h (le_refl k) #align lie_algebra.derived_series_of_ideal_mono LieAlgebra.derivedSeriesOfIdeal_mono theorem derivedSeriesOfIdeal_antitone {k l : ℕ} (h : l ≤ k) : D k I ≤ D l I := derivedSeriesOfIdeal_le (le_refl I) h #align lie_algebra.derived_series_of_ideal_antitone LieAlgebra.derivedSeriesOfIdeal_antitone theorem derivedSeriesOfIdeal_add_le_add (J : LieIdeal R L) (k l : ℕ) : D (k + l) (I + J) ≤ D k I + D l J := by let D₁ : LieIdeal R L →o LieIdeal R L := { toFun := fun I => ⁅I, I⁆ monotone' := fun I J h => LieSubmodule.mono_lie I J I J h h } have h₁ : ∀ I J : LieIdeal R L, D₁ (I ⊔ J) ≤ D₁ I ⊔ J := by simp [D₁, LieSubmodule.lie_le_right, LieSubmodule.lie_le_left, le_sup_of_le_right] rw [← D₁.iterate_sup_le_sup_iff] at h₁ exact h₁ k l I J #align lie_algebra.derived_series_of_ideal_add_le_add LieAlgebra.derivedSeriesOfIdeal_add_le_add theorem derivedSeries_of_bot_eq_bot (k : ℕ) : derivedSeriesOfIdeal R L k ⊥ = ⊥ := by rw [eq_bot_iff]; exact derivedSeriesOfIdeal_le_self ⊥ k #align lie_algebra.derived_series_of_bot_eq_bot LieAlgebra.derivedSeries_of_bot_eq_bot theorem abelian_iff_derived_one_eq_bot : IsLieAbelian I ↔ derivedSeriesOfIdeal R L 1 I = ⊥ := by rw [derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_zero, LieSubmodule.lie_abelian_iff_lie_self_eq_bot] #align lie_algebra.abelian_iff_derived_one_eq_bot LieAlgebra.abelian_iff_derived_one_eq_bot
Mathlib/Algebra/Lie/Solvable.lean
136
138
theorem abelian_iff_derived_succ_eq_bot (I : LieIdeal R L) (k : ℕ) : IsLieAbelian (derivedSeriesOfIdeal R L k I) ↔ derivedSeriesOfIdeal R L (k + 1) I = ⊥ := by
rw [add_comm, derivedSeriesOfIdeal_add I 1 k, abelian_iff_derived_one_eq_bot]
false
import Mathlib.CategoryTheory.Limits.Shapes.CommSq import Mathlib.CategoryTheory.Limits.Shapes.Diagonal import Mathlib.CategoryTheory.MorphismProperty.Composition universe v u namespace CategoryTheory open Limits namespace MorphismProperty variable {C : Type u} [Category.{v} C] def StableUnderBaseChange (P : MorphismProperty C) : Prop := ∀ ⦃X Y Y' S : C⦄ ⦃f : X ⟶ S⦄ ⦃g : Y ⟶ S⦄ ⦃f' : Y' ⟶ Y⦄ ⦃g' : Y' ⟶ X⦄ (_ : IsPullback f' g' g f) (_ : P g), P g' #align category_theory.morphism_property.stable_under_base_change CategoryTheory.MorphismProperty.StableUnderBaseChange def StableUnderCobaseChange (P : MorphismProperty C) : Prop := ∀ ⦃A A' B B' : C⦄ ⦃f : A ⟶ A'⦄ ⦃g : A ⟶ B⦄ ⦃f' : B ⟶ B'⦄ ⦃g' : A' ⟶ B'⦄ (_ : IsPushout g f f' g') (_ : P f), P f' #align category_theory.morphism_property.stable_under_cobase_change CategoryTheory.MorphismProperty.StableUnderCobaseChange theorem StableUnderBaseChange.mk {P : MorphismProperty C} [HasPullbacks C] (hP₁ : RespectsIso P) (hP₂ : ∀ (X Y S : C) (f : X ⟶ S) (g : Y ⟶ S) (_ : P g), P (pullback.fst : pullback f g ⟶ X)) : StableUnderBaseChange P := fun X Y Y' S f g f' g' sq hg => by let e := sq.flip.isoPullback rw [← hP₁.cancel_left_isIso e.inv, sq.flip.isoPullback_inv_fst] exact hP₂ _ _ _ f g hg #align category_theory.morphism_property.stable_under_base_change.mk CategoryTheory.MorphismProperty.StableUnderBaseChange.mk theorem StableUnderBaseChange.respectsIso {P : MorphismProperty C} (hP : StableUnderBaseChange P) : RespectsIso P := by apply RespectsIso.of_respects_arrow_iso intro f g e exact hP (IsPullback.of_horiz_isIso (CommSq.mk e.inv.w)) #align category_theory.morphism_property.stable_under_base_change.respects_iso CategoryTheory.MorphismProperty.StableUnderBaseChange.respectsIso theorem StableUnderBaseChange.fst {P : MorphismProperty C} (hP : StableUnderBaseChange P) {X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [HasPullback f g] (H : P g) : P (pullback.fst : pullback f g ⟶ X) := hP (IsPullback.of_hasPullback f g).flip H #align category_theory.morphism_property.stable_under_base_change.fst CategoryTheory.MorphismProperty.StableUnderBaseChange.fst theorem StableUnderBaseChange.snd {P : MorphismProperty C} (hP : StableUnderBaseChange P) {X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [HasPullback f g] (H : P f) : P (pullback.snd : pullback f g ⟶ Y) := hP (IsPullback.of_hasPullback f g) H #align category_theory.morphism_property.stable_under_base_change.snd CategoryTheory.MorphismProperty.StableUnderBaseChange.snd theorem StableUnderBaseChange.baseChange_obj [HasPullbacks C] {P : MorphismProperty C} (hP : StableUnderBaseChange P) {S S' : C} (f : S' ⟶ S) (X : Over S) (H : P X.hom) : P ((Over.baseChange f).obj X).hom := hP.snd X.hom f H #align category_theory.morphism_property.stable_under_base_change.base_change_obj CategoryTheory.MorphismProperty.StableUnderBaseChange.baseChange_obj theorem StableUnderBaseChange.baseChange_map [HasPullbacks C] {P : MorphismProperty C} (hP : StableUnderBaseChange P) {S S' : C} (f : S' ⟶ S) {X Y : Over S} (g : X ⟶ Y) (H : P g.left) : P ((Over.baseChange f).map g).left := by let e := pullbackRightPullbackFstIso Y.hom f g.left ≪≫ pullback.congrHom (g.w.trans (Category.comp_id _)) rfl have : e.inv ≫ pullback.snd = ((Over.baseChange f).map g).left := by ext <;> dsimp [e] <;> simp rw [← this, hP.respectsIso.cancel_left_isIso] exact hP.snd _ _ H #align category_theory.morphism_property.stable_under_base_change.base_change_map CategoryTheory.MorphismProperty.StableUnderBaseChange.baseChange_map
Mathlib/CategoryTheory/MorphismProperty/Limits.lean
95
112
theorem StableUnderBaseChange.pullback_map [HasPullbacks C] {P : MorphismProperty C} (hP : StableUnderBaseChange P) [P.IsStableUnderComposition] {S X X' Y Y' : C} {f : X ⟶ S} {g : Y ⟶ S} {f' : X' ⟶ S} {g' : Y' ⟶ S} {i₁ : X ⟶ X'} {i₂ : Y ⟶ Y'} (h₁ : P i₁) (h₂ : P i₂) (e₁ : f = i₁ ≫ f') (e₂ : g = i₂ ≫ g') : P (pullback.map f g f' g' i₁ i₂ (𝟙 _) ((Category.comp_id _).trans e₁) ((Category.comp_id _).trans e₂)) := by
have : pullback.map f g f' g' i₁ i₂ (𝟙 _) ((Category.comp_id _).trans e₁) ((Category.comp_id _).trans e₂) = ((pullbackSymmetry _ _).hom ≫ ((Over.baseChange _).map (Over.homMk _ e₂.symm : Over.mk g ⟶ Over.mk g')).left) ≫ (pullbackSymmetry _ _).hom ≫ ((Over.baseChange g').map (Over.homMk _ e₁.symm : Over.mk f ⟶ Over.mk f')).left := by ext <;> dsimp <;> simp rw [this] apply P.comp_mem <;> rw [hP.respectsIso.cancel_left_isIso] exacts [hP.baseChange_map _ (Over.homMk _ e₂.symm : Over.mk g ⟶ Over.mk g') h₂, hP.baseChange_map _ (Over.homMk _ e₁.symm : Over.mk f ⟶ Over.mk f') h₁]
false
import Mathlib.Analysis.InnerProductSpace.Rayleigh import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Algebra.DirectSum.Decomposition import Mathlib.LinearAlgebra.Eigenspace.Minpoly #align_import analysis.inner_product_space.spectrum from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" variable {𝕜 : Type*} [RCLike 𝕜] variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y open scoped ComplexConjugate open Module.End namespace LinearMap namespace IsSymmetric variable {T : E →ₗ[𝕜] E} (hT : T.IsSymmetric) theorem invariant_orthogonalComplement_eigenspace (μ : 𝕜) (v : E) (hv : v ∈ (eigenspace T μ)ᗮ) : T v ∈ (eigenspace T μ)ᗮ := by intro w hw have : T w = (μ : 𝕜) • w := by rwa [mem_eigenspace_iff] at hw simp [← hT w, this, inner_smul_left, hv w hw] #align linear_map.is_symmetric.invariant_orthogonal_eigenspace LinearMap.IsSymmetric.invariant_orthogonalComplement_eigenspace
Mathlib/Analysis/InnerProductSpace/Spectrum.lean
76
79
theorem conj_eigenvalue_eq_self {μ : 𝕜} (hμ : HasEigenvalue T μ) : conj μ = μ := by
obtain ⟨v, hv₁, hv₂⟩ := hμ.exists_hasEigenvector rw [mem_eigenspace_iff] at hv₁ simpa [hv₂, inner_smul_left, inner_smul_right, hv₁] using hT v v
false
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _ #align is_bounded_linear_map.snd IsBoundedLinearMap.snd variable {f g : E → F} theorem smul (c : 𝕜) (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 (c • f) := let ⟨hlf, M, _, hM⟩ := hf (c • hlf.mk' f).isLinear.with_bound (‖c‖ * M) fun x => calc ‖c • f x‖ = ‖c‖ * ‖f x‖ := norm_smul c (f x) _ ≤ ‖c‖ * (M * ‖x‖) := mul_le_mul_of_nonneg_left (hM _) (norm_nonneg _) _ = ‖c‖ * M * ‖x‖ := (mul_assoc _ _ _).symm #align is_bounded_linear_map.smul IsBoundedLinearMap.smul
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
139
141
theorem neg (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 fun e => -f e := by
rw [show (fun e => -f e) = fun e => (-1 : 𝕜) • f e by funext; simp] exact smul (-1) hf
false
import Mathlib.Data.Matrix.Basic import Mathlib.Data.PEquiv #align_import data.matrix.pequiv from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" namespace PEquiv open Matrix universe u v variable {k l m n : Type*} variable {α : Type v} open Matrix def toMatrix [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : Matrix m n α := of fun i j => if j ∈ f i then (1 : α) else 0 #align pequiv.to_matrix PEquiv.toMatrix -- TODO: set as an equation lemma for `toMatrix`, see mathlib4#3024 @[simp] theorem toMatrix_apply [DecidableEq n] [Zero α] [One α] (f : m ≃. n) (i j) : toMatrix f i j = if j ∈ f i then (1 : α) else 0 := rfl #align pequiv.to_matrix_apply PEquiv.toMatrix_apply theorem mul_matrix_apply [Fintype m] [DecidableEq m] [Semiring α] (f : l ≃. m) (M : Matrix m n α) (i j) : (f.toMatrix * M :) i j = Option.casesOn (f i) 0 fun fi => M fi j := by dsimp [toMatrix, Matrix.mul_apply] cases' h : f i with fi · simp [h] · rw [Finset.sum_eq_single fi] <;> simp (config := { contextual := true }) [h, eq_comm] #align pequiv.mul_matrix_apply PEquiv.mul_matrix_apply theorem toMatrix_symm [DecidableEq m] [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : (f.symm.toMatrix : Matrix n m α) = f.toMatrixᵀ := by ext simp only [transpose, mem_iff_mem f, toMatrix_apply] congr #align pequiv.to_matrix_symm PEquiv.toMatrix_symm @[simp] theorem toMatrix_refl [DecidableEq n] [Zero α] [One α] : ((PEquiv.refl n).toMatrix : Matrix n n α) = 1 := by ext simp [toMatrix_apply, one_apply] #align pequiv.to_matrix_refl PEquiv.toMatrix_refl theorem matrix_mul_apply [Fintype m] [Semiring α] [DecidableEq n] (M : Matrix l m α) (f : m ≃. n) (i j) : (M * f.toMatrix :) i j = Option.casesOn (f.symm j) 0 fun fj => M i fj := by dsimp [toMatrix, Matrix.mul_apply] cases' h : f.symm j with fj · simp [h, ← f.eq_some_iff] · rw [Finset.sum_eq_single fj] · simp [h, ← f.eq_some_iff] · rintro b - n simp [h, ← f.eq_some_iff, n.symm] · simp #align pequiv.matrix_mul_apply PEquiv.matrix_mul_apply theorem toPEquiv_mul_matrix [Fintype m] [DecidableEq m] [Semiring α] (f : m ≃ m) (M : Matrix m n α) : f.toPEquiv.toMatrix * M = M.submatrix f id := by ext i j rw [mul_matrix_apply, Equiv.toPEquiv_apply, submatrix_apply, id] #align pequiv.to_pequiv_mul_matrix PEquiv.toPEquiv_mul_matrix theorem mul_toPEquiv_toMatrix {m n α : Type*} [Fintype n] [DecidableEq n] [Semiring α] (f : n ≃ n) (M : Matrix m n α) : M * f.toPEquiv.toMatrix = M.submatrix id f.symm := Matrix.ext fun i j => by rw [PEquiv.matrix_mul_apply, ← Equiv.toPEquiv_symm, Equiv.toPEquiv_apply, Matrix.submatrix_apply, id] #align pequiv.mul_to_pequiv_to_matrix PEquiv.mul_toPEquiv_toMatrix
Mathlib/Data/Matrix/PEquiv.lean
109
114
theorem toMatrix_trans [Fintype m] [DecidableEq m] [DecidableEq n] [Semiring α] (f : l ≃. m) (g : m ≃. n) : ((f.trans g).toMatrix : Matrix l n α) = f.toMatrix * g.toMatrix := by
ext i j rw [mul_matrix_apply] dsimp [toMatrix, PEquiv.trans] cases f i <;> simp
false
import Mathlib.Init.Data.Nat.Notation import Mathlib.Init.Order.Defs set_option autoImplicit true structure UFModel (n) where parent : Fin n → Fin n rank : Nat → Nat rank_lt : ∀ i, (parent i).1 ≠ i → rank i < rank (parent i) structure UFNode (α : Type*) where parent : Nat value : α rank : Nat inductive UFModel.Agrees (arr : Array α) (f : α → β) : ∀ {n}, (Fin n → β) → Prop | mk : Agrees arr f fun i ↦ f (arr.get i) namespace UFModel.Agrees theorem mk' {arr : Array α} {f : α → β} {n} {g : Fin n → β} (e : n = arr.size) (H : ∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = g ⟨i, h₂⟩) : Agrees arr f g := by cases e have : (fun i ↦ f (arr.get i)) = g := by funext ⟨i, h⟩; apply H cases this; constructor theorem size_eq {arr : Array α} {m : Fin n → β} (H : Agrees arr f m) : n = arr.size := by cases H; rfl
Mathlib/Data/UnionFind.lean
82
84
theorem get_eq {arr : Array α} {n} {m : Fin n → β} (H : Agrees arr f m) : ∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = m ⟨i, h₂⟩ := by
cases H; exact fun i h _ ↦ rfl
false
import Mathlib.LinearAlgebra.Prod #align_import linear_algebra.linear_pmap from "leanprover-community/mathlib"@"8b981918a93bc45a8600de608cde7944a80d92b9" universe u v w structure LinearPMap (R : Type u) [Ring R] (E : Type v) [AddCommGroup E] [Module R E] (F : Type w) [AddCommGroup F] [Module R F] where domain : Submodule R E toFun : domain →ₗ[R] F #align linear_pmap LinearPMap @[inherit_doc] notation:25 E " →ₗ.[" R:25 "] " F:0 => LinearPMap R E F variable {R : Type*} [Ring R] {E : Type*} [AddCommGroup E] [Module R E] {F : Type*} [AddCommGroup F] [Module R F] {G : Type*} [AddCommGroup G] [Module R G] namespace LinearPMap open Submodule -- Porting note: A new definition underlying a coercion `↑`. @[coe] def toFun' (f : E →ₗ.[R] F) : f.domain → F := f.toFun instance : CoeFun (E →ₗ.[R] F) fun f : E →ₗ.[R] F => f.domain → F := ⟨toFun'⟩ @[simp] theorem toFun_eq_coe (f : E →ₗ.[R] F) (x : f.domain) : f.toFun x = f x := rfl #align linear_pmap.to_fun_eq_coe LinearPMap.toFun_eq_coe @[ext] theorem ext {f g : E →ₗ.[R] F} (h : f.domain = g.domain) (h' : ∀ ⦃x : f.domain⦄ ⦃y : g.domain⦄ (_h : (x : E) = y), f x = g y) : f = g := by rcases f with ⟨f_dom, f⟩ rcases g with ⟨g_dom, g⟩ obtain rfl : f_dom = g_dom := h obtain rfl : f = g := LinearMap.ext fun x => h' rfl rfl #align linear_pmap.ext LinearPMap.ext @[simp] theorem map_zero (f : E →ₗ.[R] F) : f 0 = 0 := f.toFun.map_zero #align linear_pmap.map_zero LinearPMap.map_zero theorem ext_iff {f g : E →ₗ.[R] F} : f = g ↔ ∃ _domain_eq : f.domain = g.domain, ∀ ⦃x : f.domain⦄ ⦃y : g.domain⦄ (_h : (x : E) = y), f x = g y := ⟨fun EQ => EQ ▸ ⟨rfl, fun x y h => by congr exact mod_cast h⟩, fun ⟨deq, feq⟩ => ext deq feq⟩ #align linear_pmap.ext_iff LinearPMap.ext_iff theorem ext' {s : Submodule R E} {f g : s →ₗ[R] F} (h : f = g) : mk s f = mk s g := h ▸ rfl #align linear_pmap.ext' LinearPMap.ext' theorem map_add (f : E →ₗ.[R] F) (x y : f.domain) : f (x + y) = f x + f y := f.toFun.map_add x y #align linear_pmap.map_add LinearPMap.map_add theorem map_neg (f : E →ₗ.[R] F) (x : f.domain) : f (-x) = -f x := f.toFun.map_neg x #align linear_pmap.map_neg LinearPMap.map_neg theorem map_sub (f : E →ₗ.[R] F) (x y : f.domain) : f (x - y) = f x - f y := f.toFun.map_sub x y #align linear_pmap.map_sub LinearPMap.map_sub theorem map_smul (f : E →ₗ.[R] F) (c : R) (x : f.domain) : f (c • x) = c • f x := f.toFun.map_smul c x #align linear_pmap.map_smul LinearPMap.map_smul @[simp] theorem mk_apply (p : Submodule R E) (f : p →ₗ[R] F) (x : p) : mk p f x = f x := rfl #align linear_pmap.mk_apply LinearPMap.mk_apply noncomputable def mkSpanSingleton' (x : E) (y : F) (H : ∀ c : R, c • x = 0 → c • y = 0) : E →ₗ.[R] F where domain := R ∙ x toFun := have H : ∀ c₁ c₂ : R, c₁ • x = c₂ • x → c₁ • y = c₂ • y := by intro c₁ c₂ h rw [← sub_eq_zero, ← sub_smul] at h ⊢ exact H _ h { toFun := fun z => Classical.choose (mem_span_singleton.1 z.prop) • y -- Porting note(#12129): additional beta reduction needed -- Porting note: Were `Classical.choose_spec (mem_span_singleton.1 _)`. map_add' := fun y z => by beta_reduce rw [← add_smul] apply H simp only [add_smul, sub_smul, fun w : R ∙ x => Classical.choose_spec (mem_span_singleton.1 w.prop)] apply coe_add map_smul' := fun c z => by beta_reduce rw [smul_smul] apply H simp only [mul_smul, fun w : R ∙ x => Classical.choose_spec (mem_span_singleton.1 w.prop)] apply coe_smul } #align linear_pmap.mk_span_singleton' LinearPMap.mkSpanSingleton' @[simp] theorem domain_mkSpanSingleton (x : E) (y : F) (H : ∀ c : R, c • x = 0 → c • y = 0) : (mkSpanSingleton' x y H).domain = R ∙ x := rfl #align linear_pmap.domain_mk_span_singleton LinearPMap.domain_mkSpanSingleton @[simp]
Mathlib/LinearAlgebra/LinearPMap.lean
151
157
theorem mkSpanSingleton'_apply (x : E) (y : F) (H : ∀ c : R, c • x = 0 → c • y = 0) (c : R) (h) : mkSpanSingleton' x y H ⟨c • x, h⟩ = c • y := by
dsimp [mkSpanSingleton'] rw [← sub_eq_zero, ← sub_smul] apply H simp only [sub_smul, one_smul, sub_eq_zero] apply Classical.choose_spec (mem_span_singleton.1 h)
false
import Mathlib.Topology.Order.ProjIcc import Mathlib.Topology.CompactOpen import Mathlib.Topology.UnitInterval #align_import topology.path_connected from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Topology Filter unitInterval Set Function variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {x y z : X} {ι : Type*} -- porting note (#5171): removed @[nolint has_nonempty_instance] structure Path (x y : X) extends C(I, X) where source' : toFun 0 = x target' : toFun 1 = y #align path Path instance Path.funLike : FunLike (Path x y) I X where coe := fun γ ↦ ⇑γ.toContinuousMap coe_injective' := fun γ₁ γ₂ h => by simp only [DFunLike.coe_fn_eq] at h cases γ₁; cases γ₂; congr -- Porting note (#10754): added this instance so that we can use `FunLike.coe` for `CoeFun` -- this also fixed very strange `simp` timeout issues instance Path.continuousMapClass : ContinuousMapClass (Path x y) I X where map_continuous := fun γ => show Continuous γ.toContinuousMap by continuity -- Porting note: not necessary in light of the instance above @[ext] protected theorem Path.ext : ∀ {γ₁ γ₂ : Path x y}, (γ₁ : I → X) = γ₂ → γ₁ = γ₂ := by rintro ⟨⟨x, h11⟩, h12, h13⟩ ⟨⟨x, h21⟩, h22, h23⟩ rfl rfl #align path.ext Path.ext namespace Path @[simp] theorem coe_mk_mk (f : I → X) (h₁) (h₂ : f 0 = x) (h₃ : f 1 = y) : ⇑(mk ⟨f, h₁⟩ h₂ h₃ : Path x y) = f := rfl #align path.coe_mk Path.coe_mk_mk -- Porting note: the name `Path.coe_mk` better refers to a new lemma below variable (γ : Path x y) @[continuity] protected theorem continuous : Continuous γ := γ.continuous_toFun #align path.continuous Path.continuous @[simp] protected theorem source : γ 0 = x := γ.source' #align path.source Path.source @[simp] protected theorem target : γ 1 = y := γ.target' #align path.target Path.target def simps.apply : I → X := γ #align path.simps.apply Path.simps.apply initialize_simps_projections Path (toFun → simps.apply, -toContinuousMap) @[simp] theorem coe_toContinuousMap : ⇑γ.toContinuousMap = γ := rfl #align path.coe_to_continuous_map Path.coe_toContinuousMap -- Porting note: this is needed because of the `Path.continuousMapClass` instance @[simp] theorem coe_mk : ⇑(γ : C(I, X)) = γ := rfl instance hasUncurryPath {X α : Type*} [TopologicalSpace X] {x y : α → X} : HasUncurry (∀ a : α, Path (x a) (y a)) (α × I) X := ⟨fun φ p => φ p.1 p.2⟩ #align path.has_uncurry_path Path.hasUncurryPath @[refl, simps] def refl (x : X) : Path x x where toFun _t := x continuous_toFun := continuous_const source' := rfl target' := rfl #align path.refl Path.refl @[simp]
Mathlib/Topology/Connected/PathConnected.lean
165
165
theorem refl_range {a : X} : range (Path.refl a) = {a} := by
simp [Path.refl, CoeFun.coe]
false
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
Mathlib/Algebra/Polynomial/Reverse.lean
40
47
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
false
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Combinatorics.SimpleGraph.Dart import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Data.ZMod.Parity #align_import combinatorics.simple_graph.degree_sum from "leanprover-community/mathlib"@"90659cbe25e59ec302e2fb92b00e9732160cc620" open Finset namespace SimpleGraph universe u variable {V : Type u} (G : SimpleGraph V) section DegreeSum variable [Fintype V] [DecidableRel G.Adj] -- Porting note: Changed to `Fintype (Sym2 V)` to match Combinatorics.SimpleGraph.Basic variable [Fintype (Sym2 V)] theorem dart_fst_fiber [DecidableEq V] (v : V) : (univ.filter fun d : G.Dart => d.fst = v) = univ.image (G.dartOfNeighborSet v) := by ext d simp only [mem_image, true_and_iff, mem_filter, SetCoe.exists, mem_univ, exists_prop_of_true] constructor · rintro rfl exact ⟨_, d.adj, by ext <;> rfl⟩ · rintro ⟨e, he, rfl⟩ rfl #align simple_graph.dart_fst_fiber SimpleGraph.dart_fst_fiber theorem dart_fst_fiber_card_eq_degree [DecidableEq V] (v : V) : (univ.filter fun d : G.Dart => d.fst = v).card = G.degree v := by simpa only [dart_fst_fiber, Finset.card_univ, card_neighborSet_eq_degree] using card_image_of_injective univ (G.dartOfNeighborSet_injective v) #align simple_graph.dart_fst_fiber_card_eq_degree SimpleGraph.dart_fst_fiber_card_eq_degree theorem dart_card_eq_sum_degrees : Fintype.card G.Dart = ∑ v, G.degree v := by haveI := Classical.decEq V simp only [← card_univ, ← dart_fst_fiber_card_eq_degree] exact card_eq_sum_card_fiberwise (by simp) #align simple_graph.dart_card_eq_sum_degrees SimpleGraph.dart_card_eq_sum_degrees variable {G} theorem Dart.edge_fiber [DecidableEq V] (d : G.Dart) : (univ.filter fun d' : G.Dart => d'.edge = d.edge) = {d, d.symm} := Finset.ext fun d' => by simpa using dart_edge_eq_iff d' d #align simple_graph.dart.edge_fiber SimpleGraph.Dart.edge_fiber variable (G)
Mathlib/Combinatorics/SimpleGraph/DegreeSum.lean
88
95
theorem dart_edge_fiber_card [DecidableEq V] (e : Sym2 V) (h : e ∈ G.edgeSet) : (univ.filter fun d : G.Dart => d.edge = e).card = 2 := by
refine Sym2.ind (fun v w h => ?_) e h let d : G.Dart := ⟨(v, w), h⟩ convert congr_arg card d.edge_fiber rw [card_insert_of_not_mem, card_singleton] rw [mem_singleton] exact d.symm_ne.symm
false
import Mathlib.Analysis.BoxIntegral.Partition.Basic #align_import analysis.box_integral.partition.tagged from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" noncomputable section open scoped Classical open ENNReal NNReal open Set Function namespace BoxIntegral variable {ι : Type*} structure TaggedPrepartition (I : Box ι) extends Prepartition I where tag : Box ι → ι → ℝ tag_mem_Icc : ∀ J, tag J ∈ Box.Icc I #align box_integral.tagged_prepartition BoxIntegral.TaggedPrepartition namespace TaggedPrepartition variable {I J J₁ J₂ : Box ι} (π : TaggedPrepartition I) {x : ι → ℝ} instance : Membership (Box ι) (TaggedPrepartition I) := ⟨fun J π => J ∈ π.boxes⟩ @[simp] theorem mem_toPrepartition {π : TaggedPrepartition I} : J ∈ π.toPrepartition ↔ J ∈ π := Iff.rfl #align box_integral.tagged_prepartition.mem_to_prepartition BoxIntegral.TaggedPrepartition.mem_toPrepartition @[simp] theorem mem_mk (π : Prepartition I) (f h) : J ∈ mk π f h ↔ J ∈ π := Iff.rfl #align box_integral.tagged_prepartition.mem_mk BoxIntegral.TaggedPrepartition.mem_mk def iUnion : Set (ι → ℝ) := π.toPrepartition.iUnion #align box_integral.tagged_prepartition.Union BoxIntegral.TaggedPrepartition.iUnion theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl #align box_integral.tagged_prepartition.Union_def BoxIntegral.TaggedPrepartition.iUnion_def @[simp] theorem iUnion_mk (π : Prepartition I) (f h) : (mk π f h).iUnion = π.iUnion := rfl #align box_integral.tagged_prepartition.Union_mk BoxIntegral.TaggedPrepartition.iUnion_mk @[simp] theorem iUnion_toPrepartition : π.toPrepartition.iUnion = π.iUnion := rfl #align box_integral.tagged_prepartition.Union_to_prepartition BoxIntegral.TaggedPrepartition.iUnion_toPrepartition -- Porting note: Previous proof was `:= Set.mem_iUnion₂` @[simp]
Mathlib/Analysis/BoxIntegral/Partition/Tagged.lean
83
85
theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by
convert Set.mem_iUnion₂ rw [Box.mem_coe, mem_toPrepartition, exists_prop]
false
import Mathlib.GroupTheory.OrderOfElement import Mathlib.RingTheory.Ideal.Maps import Mathlib.RingTheory.Ideal.Quotient #align_import algebra.char_p.quotient from "leanprover-community/mathlib"@"85e3c05a94b27c84dc6f234cf88326d5e0096ec3" universe u v
Mathlib/Algebra/CharP/Quotient.lean
60
66
theorem Ideal.Quotient.index_eq_zero {R : Type*} [CommRing R] (I : Ideal R) : (↑I.toAddSubgroup.index : R ⧸ I) = 0 := by
rw [AddSubgroup.index, Nat.card_eq] split_ifs with hq; swap · simp letI : Fintype (R ⧸ I) := @Fintype.ofFinite _ hq exact Nat.cast_card_eq_zero (R ⧸ I)
false
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.Topology import Mathlib.Analysis.Normed.Group.Pointwise import Mathlib.Analysis.NormedSpace.AddTorsor #align_import analysis.convex.normed from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" variable {ι : Type*} {E P : Type*} open Metric Set open scoped Convex variable [SeminormedAddCommGroup E] [NormedSpace ℝ E] [PseudoMetricSpace P] [NormedAddTorsor E P] variable {s t : Set E}
Mathlib/Analysis/Convex/Normed.lean
39
44
theorem convexOn_norm (hs : Convex ℝ s) : ConvexOn ℝ s norm := ⟨hs, fun x _ y _ a b ha hb _ => calc ‖a • x + b • y‖ ≤ ‖a • x‖ + ‖b • y‖ := norm_add_le _ _ _ = a * ‖x‖ + b * ‖y‖ := by
rw [norm_smul, norm_smul, Real.norm_of_nonneg ha, Real.norm_of_nonneg hb]⟩
false
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 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] set_option linter.uppercaseLean3 false in #align polynomial.hasse_deriv_C Polynomial.hasseDeriv_C theorem hasseDeriv_apply_one (hk : 0 < k) : hasseDeriv k (1 : R[X]) = 0 := by rw [← C_1, hasseDeriv_C k _ hk] #align polynomial.hasse_deriv_apply_one Polynomial.hasseDeriv_apply_one theorem hasseDeriv_X (hk : 1 < k) : hasseDeriv k (X : R[X]) = 0 := by rw [← monomial_one_one_eq_X, hasseDeriv_monomial, Nat.choose_eq_zero_of_lt hk, Nat.cast_zero, zero_mul, monomial_zero_right] set_option linter.uppercaseLean3 false in #align polynomial.hasse_deriv_X Polynomial.hasseDeriv_X
Mathlib/Algebra/Polynomial/HasseDeriv.lean
143
161
theorem factorial_smul_hasseDeriv : ⇑(k ! • @hasseDeriv R _ k) = (@derivative R _)^[k] := by
induction' k with k ih · rw [hasseDeriv_zero, factorial_zero, iterate_zero, one_smul, LinearMap.id_coe] ext f n : 2 rw [iterate_succ_apply', ← ih] simp only [LinearMap.smul_apply, coeff_smul, LinearMap.map_smul_of_tower, coeff_derivative, hasseDeriv_coeff, ← @choose_symm_add _ k] simp only [nsmul_eq_mul, factorial_succ, mul_assoc, succ_eq_add_one, ← add_assoc, add_right_comm n 1 k, ← cast_succ] rw [← (cast_commute (n + 1) (f.coeff (n + k + 1))).eq] simp only [← mul_assoc] norm_cast congr 2 rw [mul_comm (k+1) _, mul_assoc, mul_assoc] congr 1 have : n + k + 1 = n + (k + 1) := by apply add_assoc rw [← choose_symm_of_eq_add this, choose_succ_right_eq, mul_comm] congr rw [add_assoc, add_tsub_cancel_left]
false
import Mathlib.Control.Traversable.Instances import Mathlib.Order.Filter.Basic #align_import order.filter.basic from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set List namespace Filter universe u variable {α β γ : Type u} {f : β → Filter α} {s : γ → Set α} theorem sequence_mono : ∀ as bs : List (Filter α), Forall₂ (· ≤ ·) as bs → sequence as ≤ sequence bs | [], [], Forall₂.nil => le_rfl | _::as, _::bs, Forall₂.cons h hs => seq_mono (map_mono h) (sequence_mono as bs hs) #align filter.sequence_mono Filter.sequence_mono theorem mem_traverse : ∀ (fs : List β) (us : List γ), Forall₂ (fun b c => s c ∈ f b) fs us → traverse s us ∈ traverse f fs | [], [], Forall₂.nil => mem_pure.2 <| mem_singleton _ | _::fs, _::us, Forall₂.cons h hs => seq_mem_seq (image_mem_map h) (mem_traverse fs us hs) #align filter.mem_traverse Filter.mem_traverse -- TODO: add a `Filter.HasBasis` statement
Mathlib/Order/Filter/ListTraverse.lean
38
53
theorem mem_traverse_iff (fs : List β) (t : Set (List α)) : t ∈ traverse f fs ↔ ∃ us : List (Set α), Forall₂ (fun b (s : Set α) => s ∈ f b) fs us ∧ sequence us ⊆ t := by
constructor · induction fs generalizing t with | nil => simp only [sequence, mem_pure, imp_self, forall₂_nil_left_iff, exists_eq_left, Set.pure_def, singleton_subset_iff, traverse_nil] | cons b fs ih => intro ht rcases mem_seq_iff.1 ht with ⟨u, hu, v, hv, ht⟩ rcases mem_map_iff_exists_image.1 hu with ⟨w, hw, hwu⟩ rcases ih v hv with ⟨us, hus, hu⟩ exact ⟨w::us, Forall₂.cons hw hus, (Set.seq_mono hwu hu).trans ht⟩ · rintro ⟨us, hus, hs⟩ exact mem_of_superset (mem_traverse _ _ hus) hs
false
import Mathlib.Data.Opposite import Mathlib.Data.Set.Defs #align_import data.set.opposite from "leanprover-community/mathlib"@"fc2ed6f838ce7c9b7c7171e58d78eaf7b438fb0e" variable {α : Type*} open Opposite namespace Set protected def op (s : Set α) : Set αᵒᵖ := unop ⁻¹' s #align set.op Set.op protected def unop (s : Set αᵒᵖ) : Set α := op ⁻¹' s #align set.unop Set.unop @[simp] theorem mem_op {s : Set α} {a : αᵒᵖ} : a ∈ s.op ↔ unop a ∈ s := Iff.rfl #align set.mem_op Set.mem_op @[simp 1100] theorem op_mem_op {s : Set α} {a : α} : op a ∈ s.op ↔ a ∈ s := by rfl #align set.op_mem_op Set.op_mem_op @[simp] theorem mem_unop {s : Set αᵒᵖ} {a : α} : a ∈ s.unop ↔ op a ∈ s := Iff.rfl #align set.mem_unop Set.mem_unop @[simp 1100] theorem unop_mem_unop {s : Set αᵒᵖ} {a : αᵒᵖ} : unop a ∈ s.unop ↔ a ∈ s := by rfl #align set.unop_mem_unop Set.unop_mem_unop @[simp] theorem op_unop (s : Set α) : s.op.unop = s := rfl #align set.op_unop Set.op_unop @[simp] theorem unop_op (s : Set αᵒᵖ) : s.unop.op = s := rfl #align set.unop_op Set.unop_op @[simps] def opEquiv_self (s : Set α) : s.op ≃ s := ⟨fun x ↦ ⟨unop x, x.2⟩, fun x ↦ ⟨op x, x.2⟩, fun _ ↦ rfl, fun _ ↦ rfl⟩ #align set.op_equiv_self Set.opEquiv_self #align set.op_equiv_self_apply_coe Set.opEquiv_self_apply_coe #align set.op_equiv_self_symm_apply_coe Set.opEquiv_self_symm_apply_coe @[simps] def opEquiv : Set α ≃ Set αᵒᵖ := ⟨Set.op, Set.unop, op_unop, unop_op⟩ #align set.op_equiv Set.opEquiv #align set.op_equiv_symm_apply Set.opEquiv_symm_apply #align set.op_equiv_apply Set.opEquiv_apply @[simp]
Mathlib/Data/Set/Opposite.lean
76
80
theorem singleton_op (x : α) : ({x} : Set α).op = {op x} := by
ext constructor · apply unop_injective · apply op_injective
false
import Mathlib.Algebra.CharP.Invertible import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Data.Complex.Cardinality import Mathlib.Data.Fin.VecNotation import Mathlib.LinearAlgebra.FiniteDimensional #align_import data.complex.module from "leanprover-community/mathlib"@"c7bce2818663f456335892ddbdd1809f111a5b72" namespace Complex open ComplexConjugate open scoped SMul variable {R : Type*} {S : Type*} attribute [local ext] Complex.ext -- Test that the `SMul ℚ ℂ` instance is correct. example : (Complex.SMul.instSMulRealComplex : SMul ℚ ℂ) = (Algebra.toSMul : SMul ℚ ℂ) := rfl -- priority manually adjusted in #11980 instance (priority := 90) [SMul R ℝ] [SMul S ℝ] [SMulCommClass R S ℝ] : SMulCommClass R S ℂ where smul_comm r s x := by ext <;> simp [smul_re, smul_im, smul_comm] -- priority manually adjusted in #11980 instance (priority := 90) [SMul R S] [SMul R ℝ] [SMul S ℝ] [IsScalarTower R S ℝ] : IsScalarTower R S ℂ where smul_assoc r s x := by ext <;> simp [smul_re, smul_im, smul_assoc] -- priority manually adjusted in #11980 instance (priority := 90) [SMul R ℝ] [SMul Rᵐᵒᵖ ℝ] [IsCentralScalar R ℝ] : IsCentralScalar R ℂ where op_smul_eq_smul r x := by ext <;> simp [smul_re, smul_im, op_smul_eq_smul] -- priority manually adjusted in #11980 instance (priority := 90) mulAction [Monoid R] [MulAction R ℝ] : MulAction R ℂ where one_smul x := by ext <;> simp [smul_re, smul_im, one_smul] mul_smul r s x := by ext <;> simp [smul_re, smul_im, mul_smul] -- priority manually adjusted in #11980 instance (priority := 90) distribSMul [DistribSMul R ℝ] : DistribSMul R ℂ where smul_add r x y := by ext <;> simp [smul_re, smul_im, smul_add] smul_zero r := by ext <;> simp [smul_re, smul_im, smul_zero] -- priority manually adjusted in #11980 instance (priority := 90) [Semiring R] [DistribMulAction R ℝ] : DistribMulAction R ℂ := { Complex.distribSMul, Complex.mulAction with } -- priority manually adjusted in #11980 instance (priority := 100) instModule [Semiring R] [Module R ℝ] : Module R ℂ where add_smul r s x := by ext <;> simp [smul_re, smul_im, add_smul] zero_smul r := by ext <;> simp [smul_re, smul_im, zero_smul] -- priority manually adjusted in #11980 instance (priority := 95) instAlgebraOfReal [CommSemiring R] [Algebra R ℝ] : Algebra R ℂ := { Complex.ofReal.comp (algebraMap R ℝ) with smul := (· • ·) smul_def' := fun r x => by ext <;> simp [smul_re, smul_im, Algebra.smul_def] commutes' := fun r ⟨xr, xi⟩ => by ext <;> simp [smul_re, smul_im, Algebra.commutes] } instance : StarModule ℝ ℂ := ⟨fun r x => by simp only [star_def, star_trivial, real_smul, map_mul, conj_ofReal]⟩ @[simp] theorem coe_algebraMap : (algebraMap ℝ ℂ : ℝ → ℂ) = ((↑) : ℝ → ℂ) := rfl #align complex.coe_algebra_map Complex.coe_algebraMap section variable {A : Type*} [Semiring A] [Algebra ℝ A] @[simp] theorem _root_.AlgHom.map_coe_real_complex (f : ℂ →ₐ[ℝ] A) (x : ℝ) : f x = algebraMap ℝ A x := f.commutes x #align alg_hom.map_coe_real_complex AlgHom.map_coe_real_complex @[ext]
Mathlib/Data/Complex/Module.lean
125
127
theorem algHom_ext ⦃f g : ℂ →ₐ[ℝ] A⦄ (h : f I = g I) : f = g := by
ext ⟨x, y⟩ simp only [mk_eq_add_mul_I, AlgHom.map_add, AlgHom.map_coe_real_complex, AlgHom.map_mul, h]
false
import Batteries.Classes.SatisfiesM namespace Array theorem SatisfiesM_foldlM [Monad m] [LawfulMonad m] {as : Array α} (motive : Nat → β → Prop) {init : β} (h0 : motive 0 init) {f : β → α → m β} (hf : ∀ i : Fin as.size, ∀ b, motive i.1 b → SatisfiesM (motive (i.1 + 1)) (f b as[i])) : SatisfiesM (motive as.size) (as.foldlM f init) := by let rec go {i j b} (h₁ : j ≤ as.size) (h₂ : as.size ≤ i + j) (H : motive j b) : SatisfiesM (motive as.size) (foldlM.loop f as as.size (Nat.le_refl _) i j b) := by unfold foldlM.loop; split · next hj => split · cases Nat.not_le_of_gt (by simp [hj]) h₂ · exact (hf ⟨j, hj⟩ b H).bind fun _ => go hj (by rwa [Nat.succ_add] at h₂) · next hj => exact Nat.le_antisymm h₁ (Nat.ge_of_not_lt hj) ▸ .pure H simp [foldlM]; exact go (Nat.zero_le _) (Nat.le_refl _) h0 theorem SatisfiesM_mapM [Monad m] [LawfulMonad m] (as : Array α) (f : α → m β) (motive : Nat → Prop) (h0 : motive 0) (p : Fin as.size → β → Prop) (hs : ∀ i, motive i.1 → SatisfiesM (p i · ∧ motive (i + 1)) (f as[i])) : SatisfiesM (fun arr => motive as.size ∧ ∃ eq : arr.size = as.size, ∀ i h, p ⟨i, h⟩ arr[i]) (Array.mapM f as) := by rw [mapM_eq_foldlM] refine SatisfiesM_foldlM (m := m) (β := Array β) (motive := fun i arr => motive i ∧ arr.size = i ∧ ∀ i h2, p i (arr[i.1]'h2)) ?z ?s |>.imp fun ⟨h₁, eq, h₂⟩ => ⟨h₁, eq, fun _ _ => h₂ ..⟩ · case z => exact ⟨h0, rfl, nofun⟩ · case s => intro ⟨i, hi⟩ arr ⟨ih₁, eq, ih₂⟩ refine (hs _ ih₁).map fun ⟨h₁, h₂⟩ => ⟨h₂, by simp [eq], fun j hj => ?_⟩ simp [get_push] at hj ⊢; split; {apply ih₂} cases j; cases (Nat.le_or_eq_of_le_succ hj).resolve_left ‹_›; cases eq; exact h₁ theorem SatisfiesM_mapM' [Monad m] [LawfulMonad m] (as : Array α) (f : α → m β) (p : Fin as.size → β → Prop) (hs : ∀ i, SatisfiesM (p i) (f as[i])) : SatisfiesM (fun arr => ∃ eq : arr.size = as.size, ∀ i h, p ⟨i, h⟩ arr[i]) (Array.mapM f as) := (SatisfiesM_mapM _ _ (fun _ => True) trivial _ (fun _ h => (hs _).imp (⟨·, h⟩))).imp (·.2) theorem size_mapM [Monad m] [LawfulMonad m] (f : α → m β) (as : Array α) : SatisfiesM (fun arr => arr.size = as.size) (Array.mapM f as) := (SatisfiesM_mapM' _ _ (fun _ _ => True) (fun _ => .trivial)).imp (·.1)
.lake/packages/batteries/Batteries/Data/Array/Monadic.lean
62
83
theorem SatisfiesM_anyM [Monad m] [LawfulMonad m] (p : α → m Bool) (as : Array α) (start stop) (hstart : start ≤ min stop as.size) (tru : Prop) (fal : Nat → Prop) (h0 : fal start) (hp : ∀ i : Fin as.size, i.1 < stop → fal i.1 → SatisfiesM (bif · then tru else fal (i + 1)) (p as[i])) : SatisfiesM (fun res => bif res then tru else fal (min stop as.size)) (anyM p as start stop) := by
let rec go {stop j} (hj' : j ≤ stop) (hstop : stop ≤ as.size) (h0 : fal j) (hp : ∀ i : Fin as.size, i.1 < stop → fal i.1 → SatisfiesM (bif · then tru else fal (i + 1)) (p as[i])) : SatisfiesM (fun res => bif res then tru else fal stop) (anyM.loop p as stop hstop j) := by unfold anyM.loop; split · next hj => exact (hp ⟨j, Nat.lt_of_lt_of_le hj hstop⟩ hj h0).bind fun | true, h => .pure h | false, h => go hj hstop h hp · next hj => exact .pure <| Nat.le_antisymm hj' (Nat.ge_of_not_lt hj) ▸ h0 termination_by stop - j simp only [Array.anyM_eq_anyM_loop] exact go hstart _ h0 fun i hi => hp i <| Nat.lt_of_lt_of_le hi <| Nat.min_le_left ..
false
import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Conj import Mathlib.CategoryTheory.Functor.ReflectsIso #align_import category_theory.adjunction.reflective from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a" universe v₁ v₂ v₃ u₁ u₂ u₃ noncomputable section namespace CategoryTheory open Category Adjunction variable {C : Type u₁} {D : Type u₂} {E : Type u₃} variable [Category.{v₁} C] [Category.{v₂} D] [Category.{v₃} E] class Reflective (R : D ⥤ C) extends R.Full, R.Faithful where L : C ⥤ D adj : L ⊣ R #align category_theory.reflective CategoryTheory.Reflective variable (i : D ⥤ C) def reflector [Reflective i] : C ⥤ D := Reflective.L (R := i) def reflectorAdjunction [Reflective i] : reflector i ⊣ i := Reflective.adj instance [Reflective i] : i.IsRightAdjoint := ⟨_, ⟨reflectorAdjunction i⟩⟩ instance [Reflective i] : (reflector i).IsLeftAdjoint := ⟨_, ⟨reflectorAdjunction i⟩⟩ def Functor.fullyFaithfulOfReflective [Reflective i] : i.FullyFaithful := (reflectorAdjunction i).fullyFaithfulROfIsIsoCounit -- TODO: This holds more generally for idempotent adjunctions, not just reflective adjunctions. theorem unit_obj_eq_map_unit [Reflective i] (X : C) : (reflectorAdjunction i).unit.app (i.obj ((reflector i).obj X)) = i.map ((reflector i).map ((reflectorAdjunction i).unit.app X)) := by rw [← cancel_mono (i.map ((reflectorAdjunction i).counit.app ((reflector i).obj X))), ← i.map_comp] simp #align category_theory.unit_obj_eq_map_unit CategoryTheory.unit_obj_eq_map_unit example [Reflective i] {B : D} : IsIso ((reflectorAdjunction i).unit.app (i.obj B)) := inferInstance variable {i} theorem Functor.essImage.unit_isIso [Reflective i] {A : C} (h : A ∈ i.essImage) : IsIso ((reflectorAdjunction i).unit.app A) := by rwa [isIso_unit_app_iff_mem_essImage] #align category_theory.functor.ess_image.unit_is_iso CategoryTheory.Functor.essImage.unit_isIso theorem mem_essImage_of_unit_isIso {L : C ⥤ D} (adj : L ⊣ i) (A : C) [IsIso (adj.unit.app A)] : A ∈ i.essImage := ⟨L.obj A, ⟨(asIso (adj.unit.app A)).symm⟩⟩ #align category_theory.mem_ess_image_of_unit_is_iso CategoryTheory.mem_essImage_of_unit_isIso theorem mem_essImage_of_unit_isSplitMono [Reflective i] {A : C} [IsSplitMono ((reflectorAdjunction i).unit.app A)] : A ∈ i.essImage := by let η : 𝟭 C ⟶ reflector i ⋙ i := (reflectorAdjunction i).unit haveI : IsIso (η.app (i.obj ((reflector i).obj A))) := Functor.essImage.unit_isIso ((i.obj_mem_essImage _)) have : Epi (η.app A) := by refine @epi_of_epi _ _ _ _ _ (retraction (η.app A)) (η.app A) ?_ rw [show retraction _ ≫ η.app A = _ from η.naturality (retraction (η.app A))] apply epi_comp (η.app (i.obj ((reflector i).obj A))) haveI := isIso_of_epi_of_isSplitMono (η.app A) exact mem_essImage_of_unit_isIso (reflectorAdjunction i) A #align category_theory.mem_ess_image_of_unit_is_split_mono CategoryTheory.mem_essImage_of_unit_isSplitMono instance Reflective.comp (F : C ⥤ D) (G : D ⥤ E) [Reflective F] [Reflective G] : Reflective (F ⋙ G) where L := reflector G ⋙ reflector F adj := (reflectorAdjunction G).comp (reflectorAdjunction F) #align category_theory.reflective.comp CategoryTheory.Reflective.comp def unitCompPartialBijectiveAux [Reflective i] (A : C) (B : D) : (A ⟶ i.obj B) ≃ (i.obj ((reflector i).obj A) ⟶ i.obj B) := ((reflectorAdjunction i).homEquiv _ _).symm.trans (Functor.FullyFaithful.ofFullyFaithful i).homEquiv #align category_theory.unit_comp_partial_bijective_aux CategoryTheory.unitCompPartialBijectiveAux theorem unitCompPartialBijectiveAux_symm_apply [Reflective i] {A : C} {B : D} (f : i.obj ((reflector i).obj A) ⟶ i.obj B) : (unitCompPartialBijectiveAux _ _).symm f = (reflectorAdjunction i).unit.app A ≫ f := by simp [unitCompPartialBijectiveAux] #align category_theory.unit_comp_partial_bijective_aux_symm_apply CategoryTheory.unitCompPartialBijectiveAux_symm_apply def unitCompPartialBijective [Reflective i] (A : C) {B : C} (hB : B ∈ i.essImage) : (A ⟶ B) ≃ (i.obj ((reflector i).obj A) ⟶ B) := calc (A ⟶ B) ≃ (A ⟶ i.obj (Functor.essImage.witness hB)) := Iso.homCongr (Iso.refl _) hB.getIso.symm _ ≃ (i.obj _ ⟶ i.obj (Functor.essImage.witness hB)) := unitCompPartialBijectiveAux _ _ _ ≃ (i.obj ((reflector i).obj A) ⟶ B) := Iso.homCongr (Iso.refl _) (Functor.essImage.getIso hB) #align category_theory.unit_comp_partial_bijective CategoryTheory.unitCompPartialBijective @[simp]
Mathlib/CategoryTheory/Adjunction/Reflective.lean
154
156
theorem unitCompPartialBijective_symm_apply [Reflective i] (A : C) {B : C} (hB : B ∈ i.essImage) (f) : (unitCompPartialBijective A hB).symm f = (reflectorAdjunction i).unit.app A ≫ f := by
simp [unitCompPartialBijective, unitCompPartialBijectiveAux_symm_apply]
false
import Mathlib.Order.Filter.Cofinite import Mathlib.Order.Hom.CompleteLattice #align_import order.liminf_limsup from "leanprover-community/mathlib"@"ffde2d8a6e689149e44fd95fa862c23a57f8c780" set_option autoImplicit true open Filter Set Function variable {α β γ ι ι' : Type*} namespace Filter section Relation def IsBounded (r : α → α → Prop) (f : Filter α) := ∃ b, ∀ᶠ x in f, r x b #align filter.is_bounded Filter.IsBounded def IsBoundedUnder (r : α → α → Prop) (f : Filter β) (u : β → α) := (map u f).IsBounded r #align filter.is_bounded_under Filter.IsBoundedUnder variable {r : α → α → Prop} {f g : Filter α} theorem isBounded_iff : f.IsBounded r ↔ ∃ s ∈ f.sets, ∃ b, s ⊆ { x | r x b } := Iff.intro (fun ⟨b, hb⟩ => ⟨{ a | r a b }, hb, b, Subset.refl _⟩) fun ⟨_, hs, b, hb⟩ => ⟨b, mem_of_superset hs hb⟩ #align filter.is_bounded_iff Filter.isBounded_iff theorem isBoundedUnder_of {f : Filter β} {u : β → α} : (∃ b, ∀ x, r (u x) b) → f.IsBoundedUnder r u | ⟨b, hb⟩ => ⟨b, show ∀ᶠ x in f, r (u x) b from eventually_of_forall hb⟩ #align filter.is_bounded_under_of Filter.isBoundedUnder_of theorem isBounded_bot : IsBounded r ⊥ ↔ Nonempty α := by simp [IsBounded, exists_true_iff_nonempty] #align filter.is_bounded_bot Filter.isBounded_bot
Mathlib/Order/LiminfLimsup.lean
80
80
theorem isBounded_top : IsBounded r ⊤ ↔ ∃ t, ∀ x, r x t := by
simp [IsBounded, eq_univ_iff_forall]
false
import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition open FiniteDimensional namespace Subalgebra variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (A B : Subalgebra R S) [Module.Free R A] [Module.Free R B] [Module.Free A (Algebra.adjoin A (B : Set S))] [Module.Free B (Algebra.adjoin B (A : Set S))] theorem rank_sup_eq_rank_left_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R A * Module.rank A (Algebra.adjoin A (B : Set S)) := by rcases subsingleton_or_nontrivial R with _ | _ · haveI := Module.subsingleton R S; simp nontriviality S using rank_subsingleton' letI : Algebra A (Algebra.adjoin A (B : Set S)) := Subalgebra.algebra _ letI : SMul A (Algebra.adjoin A (B : Set S)) := Algebra.toSMul haveI : IsScalarTower R A (Algebra.adjoin A (B : Set S)) := IsScalarTower.of_algebraMap_eq (congrFun rfl) rw [rank_mul_rank R A (Algebra.adjoin A (B : Set S))] change _ = Module.rank R ((Algebra.adjoin A (B : Set S)).restrictScalars R) rw [Algebra.restrictScalars_adjoin]; rfl theorem rank_sup_eq_rank_right_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R B * Module.rank B (Algebra.adjoin B (A : Set S)) := by rw [sup_comm, rank_sup_eq_rank_left_mul_rank_of_free]
Mathlib/Algebra/Algebra/Subalgebra/Rank.lean
47
49
theorem finrank_sup_eq_finrank_left_mul_finrank_of_free : finrank R ↥(A ⊔ B) = finrank R A * finrank A (Algebra.adjoin A (B : Set S)) := by
simpa only [map_mul] using congr(Cardinal.toNat $(rank_sup_eq_rank_left_mul_rank_of_free A B))
false
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Analysis.Normed.Group.Basic import Mathlib.Topology.Instances.NNReal #align_import analysis.normed.group.infinite_sum from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Topology NNReal open Finset Filter Metric variable {ι α E F : Type*} [SeminormedAddCommGroup E] [SeminormedAddCommGroup F] theorem cauchySeq_finset_iff_vanishing_norm {f : ι → E} : (CauchySeq fun s : Finset ι => ∑ i ∈ s, f i) ↔ ∀ ε > (0 : ℝ), ∃ s : Finset ι, ∀ t, Disjoint t s → ‖∑ i ∈ t, f i‖ < ε := by rw [cauchySeq_finset_iff_sum_vanishing, nhds_basis_ball.forall_iff] · simp only [ball_zero_eq, Set.mem_setOf_eq] · rintro s t hst ⟨s', hs'⟩ exact ⟨s', fun t' ht' => hst <| hs' _ ht'⟩ #align cauchy_seq_finset_iff_vanishing_norm cauchySeq_finset_iff_vanishing_norm
Mathlib/Analysis/Normed/Group/InfiniteSum.lean
49
51
theorem summable_iff_vanishing_norm [CompleteSpace E] {f : ι → E} : Summable f ↔ ∀ ε > (0 : ℝ), ∃ s : Finset ι, ∀ t, Disjoint t s → ‖∑ i ∈ t, f i‖ < ε := by
rw [summable_iff_cauchySeq_finset, cauchySeq_finset_iff_vanishing_norm]
false
import Mathlib.Probability.Martingale.Convergence import Mathlib.Probability.Martingale.OptionalStopping import Mathlib.Probability.Martingale.Centering #align_import probability.martingale.borel_cantelli from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Filter open scoped NNReal ENNReal MeasureTheory ProbabilityTheory BigOperators Topology namespace MeasureTheory variable {Ω : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} {ℱ : Filtration ℕ m0} {f : ℕ → Ω → ℝ} {ω : Ω} -- TODO: `leastGE` should be defined taking values in `WithTop ℕ` once the `stoppedProcess` -- refactor is complete noncomputable def leastGE (f : ℕ → Ω → ℝ) (r : ℝ) (n : ℕ) := hitting f (Set.Ici r) 0 n #align measure_theory.least_ge MeasureTheory.leastGE theorem Adapted.isStoppingTime_leastGE (r : ℝ) (n : ℕ) (hf : Adapted ℱ f) : IsStoppingTime ℱ (leastGE f r n) := hitting_isStoppingTime hf measurableSet_Ici #align measure_theory.adapted.is_stopping_time_least_ge MeasureTheory.Adapted.isStoppingTime_leastGE theorem leastGE_le {i : ℕ} {r : ℝ} (ω : Ω) : leastGE f r i ω ≤ i := hitting_le ω #align measure_theory.least_ge_le MeasureTheory.leastGE_le -- The following four lemmas shows `leastGE` behaves like a stopped process. Ideally we should -- define `leastGE` as a stopping time and take its stopped process. However, we can't do that -- with our current definition since a stopping time takes only finite indicies. An upcomming -- refactor should hopefully make it possible to have stopping times taking infinity as a value theorem leastGE_mono {n m : ℕ} (hnm : n ≤ m) (r : ℝ) (ω : Ω) : leastGE f r n ω ≤ leastGE f r m ω := hitting_mono hnm #align measure_theory.least_ge_mono MeasureTheory.leastGE_mono
Mathlib/Probability/Martingale/BorelCantelli.lean
75
90
theorem leastGE_eq_min (π : Ω → ℕ) (r : ℝ) (ω : Ω) {n : ℕ} (hπn : ∀ ω, π ω ≤ n) : leastGE f r (π ω) ω = min (π ω) (leastGE f r n ω) := by
classical refine le_antisymm (le_min (leastGE_le _) (leastGE_mono (hπn ω) r ω)) ?_ by_cases hle : π ω ≤ leastGE f r n ω · rw [min_eq_left hle, leastGE] by_cases h : ∃ j ∈ Set.Icc 0 (π ω), f j ω ∈ Set.Ici r · refine hle.trans (Eq.le ?_) rw [leastGE, ← hitting_eq_hitting_of_exists (hπn ω) h] · simp only [hitting, if_neg h, le_rfl] · rw [min_eq_right (not_le.1 hle).le, leastGE, leastGE, ← hitting_eq_hitting_of_exists (hπn ω) _] rw [not_le, leastGE, hitting_lt_iff _ (hπn ω)] at hle exact let ⟨j, hj₁, hj₂⟩ := hle ⟨j, ⟨hj₁.1, hj₁.2.le⟩, hj₂⟩
false
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section SameSpace variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {μ : Measure α} {f : α → E}
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
26
45
theorem snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ * μ Set.univ ^ (1 / p - 1 / q) := by
have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hpq_eq : p = q · rw [hpq_eq, sub_self, ENNReal.rpow_zero, mul_one] have hpq : p < q := lt_of_le_of_ne hpq hpq_eq let g := fun _ : α => (1 : ℝ≥0∞) have h_rw : (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ p ∂μ) = ∫⁻ a, ((‖f a‖₊ : ℝ≥0∞) * g a) ^ p ∂μ := lintegral_congr fun a => by simp [g] repeat' rw [snorm'] rw [h_rw] let r := p * q / (q - p) have hpqr : 1 / p = 1 / q + 1 / r := by field_simp [r, hp0_lt.ne', hq0_lt.ne'] calc (∫⁻ a : α, (↑‖f a‖₊ * g a) ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * (∫⁻ a : α, g a ^ r ∂μ) ^ (1 / r) := ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm aemeasurable_const _ = (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * μ Set.univ ^ (1 / p - 1 / q) := by rw [hpqr]; simp [r, g]
false
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Laurent import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.RingTheory.Polynomial.Nilpotent #align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912" noncomputable section -- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with -- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)` universe u v w z open Finset Matrix Polynomial variable {R : Type u} [CommRing R] variable {n G : Type v} [DecidableEq n] [Fintype n] variable {α β : Type v} [DecidableEq α] variable {M : Matrix n n R} namespace Matrix theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) : (charmatrix M i j).natDegree = ite (i = j) 1 0 := by by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)] #align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree theorem charmatrix_apply_natDegree_le (i j : n) : (charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by split_ifs with h <;> simp [h, natDegree_X_le] #align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le variable (M) theorem charpoly_sub_diagonal_degree_lt : (M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)), sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm] simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one, Units.val_one, add_sub_cancel_right, Equiv.coe_refl] rw [← mem_degreeLT] apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1)) intro c hc; rw [← C_eq_intCast, C_mul'] apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c) rw [mem_degreeLT] apply lt_of_le_of_lt degree_le_natDegree _ rw [Nat.cast_lt] apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc)) apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _ rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum intros apply charmatrix_apply_natDegree_le #align matrix.charpoly_sub_diagonal_degree_lt Matrix.charpoly_sub_diagonal_degree_lt theorem charpoly_coeff_eq_prod_coeff_of_le {k : ℕ} (h : Fintype.card n - 1 ≤ k) : M.charpoly.coeff k = (∏ i : n, (X - C (M i i))).coeff k := by apply eq_of_sub_eq_zero; rw [← coeff_sub] apply Polynomial.coeff_eq_zero_of_degree_lt apply lt_of_lt_of_le (charpoly_sub_diagonal_degree_lt M) ?_ rw [Nat.cast_le]; apply h #align matrix.charpoly_coeff_eq_prod_coeff_of_le Matrix.charpoly_coeff_eq_prod_coeff_of_le theorem det_of_card_zero (h : Fintype.card n = 0) (M : Matrix n n R) : M.det = 1 := by rw [Fintype.card_eq_zero_iff] at h suffices M = 1 by simp [this] ext i exact h.elim i #align matrix.det_of_card_zero Matrix.det_of_card_zero theorem charpoly_degree_eq_dim [Nontrivial R] (M : Matrix n n R) : M.charpoly.degree = Fintype.card n := by by_cases h : Fintype.card n = 0 · rw [h] unfold charpoly rw [det_of_card_zero] · simp · assumption rw [← sub_add_cancel M.charpoly (∏ i : n, (X - C (M i i)))] -- Porting note: added `↑` in front of `Fintype.card n` have h1 : (∏ i : n, (X - C (M i i))).degree = ↑(Fintype.card n) := by rw [degree_eq_iff_natDegree_eq_of_pos (Nat.pos_of_ne_zero h), natDegree_prod'] · simp_rw [natDegree_X_sub_C] rw [← Finset.card_univ, sum_const, smul_eq_mul, mul_one] simp_rw [(monic_X_sub_C _).leadingCoeff] simp rw [degree_add_eq_right_of_degree_lt] · exact h1 rw [h1] apply lt_trans (charpoly_sub_diagonal_degree_lt M) rw [Nat.cast_lt] rw [← Nat.pred_eq_sub_one] apply Nat.pred_lt apply h #align matrix.charpoly_degree_eq_dim Matrix.charpoly_degree_eq_dim @[simp] theorem charpoly_natDegree_eq_dim [Nontrivial R] (M : Matrix n n R) : M.charpoly.natDegree = Fintype.card n := natDegree_eq_of_degree_eq_some (charpoly_degree_eq_dim M) #align matrix.charpoly_nat_degree_eq_dim Matrix.charpoly_natDegree_eq_dim
Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean
127
145
theorem charpoly_monic (M : Matrix n n R) : M.charpoly.Monic := by
nontriviality R -- Porting note: was simply `nontriviality` by_cases h : Fintype.card n = 0 · rw [charpoly, det_of_card_zero h] apply monic_one have mon : (∏ i : n, (X - C (M i i))).Monic := by apply monic_prod_of_monic univ fun i : n => X - C (M i i) simp [monic_X_sub_C] rw [← sub_add_cancel (∏ i : n, (X - C (M i i))) M.charpoly] at mon rw [Monic] at * rwa [leadingCoeff_add_of_degree_lt] at mon rw [charpoly_degree_eq_dim] rw [← neg_sub] rw [degree_neg] apply lt_trans (charpoly_sub_diagonal_degree_lt M) rw [Nat.cast_lt] rw [← Nat.pred_eq_sub_one] apply Nat.pred_lt apply h
false
import Batteries.Data.Sum.Basic import Batteries.Logic open Function namespace Sum @[simp] protected theorem «forall» {p : α ⊕ β → Prop} : (∀ x, p x) ↔ (∀ a, p (inl a)) ∧ ∀ b, p (inr b) := ⟨fun h => ⟨fun _ => h _, fun _ => h _⟩, fun ⟨h₁, h₂⟩ => Sum.rec h₁ h₂⟩ @[simp] protected theorem «exists» {p : α ⊕ β → Prop} : (∃ x, p x) ↔ (∃ a, p (inl a)) ∨ ∃ b, p (inr b) := ⟨ fun | ⟨inl a, h⟩ => Or.inl ⟨a, h⟩ | ⟨inr b, h⟩ => Or.inr ⟨b, h⟩, fun | Or.inl ⟨a, h⟩ => ⟨inl a, h⟩ | Or.inr ⟨b, h⟩ => ⟨inr b, h⟩⟩ theorem forall_sum {γ : α ⊕ β → Sort _} (p : (∀ ab, γ ab) → Prop) : (∀ fab, p fab) ↔ (∀ fa fb, p (Sum.rec fa fb)) := by refine ⟨fun h fa fb => h _, fun h fab => ?_⟩ have h1 : fab = Sum.rec (fun a => fab (Sum.inl a)) (fun b => fab (Sum.inr b)) := by ext ab; cases ab <;> rfl rw [h1]; exact h _ _ section get @[simp] theorem inl_getLeft : ∀ (x : α ⊕ β) (h : x.isLeft), inl (x.getLeft h) = x | inl _, _ => rfl @[simp] theorem inr_getRight : ∀ (x : α ⊕ β) (h : x.isRight), inr (x.getRight h) = x | inr _, _ => rfl @[simp] theorem getLeft?_eq_none_iff {x : α ⊕ β} : x.getLeft? = none ↔ x.isRight := by cases x <;> simp only [getLeft?, isRight, eq_self_iff_true] @[simp] theorem getRight?_eq_none_iff {x : α ⊕ β} : x.getRight? = none ↔ x.isLeft := by cases x <;> simp only [getRight?, isLeft, eq_self_iff_true] theorem eq_left_getLeft_of_isLeft : ∀ {x : α ⊕ β} (h : x.isLeft), x = inl (x.getLeft h) | inl _, _ => rfl @[simp] theorem getLeft_eq_iff (h : x.isLeft) : x.getLeft h = a ↔ x = inl a := by cases x <;> simp at h ⊢ theorem eq_right_getRight_of_isRight : ∀ {x : α ⊕ β} (h : x.isRight), x = inr (x.getRight h) | inr _, _ => rfl @[simp] theorem getRight_eq_iff (h : x.isRight) : x.getRight h = b ↔ x = inr b := by cases x <;> simp at h ⊢ @[simp] theorem getLeft?_eq_some_iff : x.getLeft? = some a ↔ x = inl a := by cases x <;> simp only [getLeft?, Option.some.injEq, inl.injEq] @[simp] theorem getRight?_eq_some_iff : x.getRight? = some b ↔ x = inr b := by cases x <;> simp only [getRight?, Option.some.injEq, inr.injEq] @[simp] theorem bnot_isLeft (x : α ⊕ β) : !x.isLeft = x.isRight := by cases x <;> rfl @[simp] theorem isLeft_eq_false {x : α ⊕ β} : x.isLeft = false ↔ x.isRight := by cases x <;> simp theorem not_isLeft {x : α ⊕ β} : ¬x.isLeft ↔ x.isRight := by simp @[simp] theorem bnot_isRight (x : α ⊕ β) : !x.isRight = x.isLeft := by cases x <;> rfl @[simp] theorem isRight_eq_false {x : α ⊕ β} : x.isRight = false ↔ x.isLeft := by cases x <;> simp theorem not_isRight {x : α ⊕ β} : ¬x.isRight ↔ x.isLeft := by simp theorem isLeft_iff : x.isLeft ↔ ∃ y, x = Sum.inl y := by cases x <;> simp
.lake/packages/batteries/Batteries/Data/Sum/Lemmas.lean
85
85
theorem isRight_iff : x.isRight ↔ ∃ y, x = Sum.inr y := by
cases x <;> simp
false
import Mathlib.Data.ENNReal.Real import Mathlib.Order.Interval.Finset.Nat import Mathlib.Topology.UniformSpace.Pi import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.UniformEmbedding #align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Classical open scoped Uniformity Topology Filter NNReal ENNReal Pointwise universe u v w variable {α : Type u} {β : Type v} {X : Type*} theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β) (D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) : U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } := HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩ #align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity @[ext] class EDist (α : Type*) where edist : α → α → ℝ≥0∞ #align has_edist EDist export EDist (edist) def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0) (edist_comm : ∀ x y : α, edist x y = edist y x) (edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α := .ofFun edist edist_self edist_comm edist_triangle fun ε ε0 => ⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ => (ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩ #align uniform_space_of_edist uniformSpaceOfEDist -- the uniform structure is embedded in the emetric space structure -- to avoid instance diamond issues. See Note [forgetful inheritance]. class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where edist_self : ∀ x : α, edist x x = 0 edist_comm : ∀ x y : α, edist x y = edist y x edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl #align pseudo_emetric_space PseudoEMetricSpace attribute [instance] PseudoEMetricSpace.toUniformSpace @[ext] protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α} (h : m.toEDist = m'.toEDist) : m = m' := by cases' m with ed _ _ _ U hU cases' m' with ed' _ _ _ U' hU' congr 1 exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm) variable [PseudoEMetricSpace α] export PseudoEMetricSpace (edist_self edist_comm edist_triangle) attribute [simp] edist_self theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by rw [edist_comm z]; apply edist_triangle #align edist_triangle_left edist_triangle_left theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by rw [edist_comm y]; apply edist_triangle #align edist_triangle_right edist_triangle_right theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by apply le_antisymm · rw [← zero_add (edist y z), ← h] apply edist_triangle · rw [edist_comm] at h rw [← zero_add (edist x z), ← h] apply edist_triangle #align edist_congr_right edist_congr_right
Mathlib/Topology/EMetricSpace/Basic.lean
127
129
theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by
rw [edist_comm z x, edist_comm z y] apply edist_congr_right h
false
import Mathlib.LinearAlgebra.AffineSpace.Independent import Mathlib.LinearAlgebra.Basis #align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Affine open Set universe u₁ u₂ u₃ u₄ structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V] [AffineSpace V P] [Ring k] [Module k V] where protected toFun : ι → P protected ind' : AffineIndependent k toFun protected tot' : affineSpan k (range toFun) = ⊤ #align affine_basis AffineBasis variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P] namespace AffineBasis section Ring variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι') instance : Inhabited (AffineBasis PUnit k PUnit) := ⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩ instance instFunLike : FunLike (AffineBasis ι k P) ι P where coe := AffineBasis.toFun coe_injective' f g h := by cases f; cases g; congr #align affine_basis.fun_like AffineBasis.instFunLike @[ext] theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ := DFunLike.coe_injective h #align affine_basis.ext AffineBasis.ext theorem ind : AffineIndependent k b := b.ind' #align affine_basis.ind AffineBasis.ind theorem tot : affineSpan k (range b) = ⊤ := b.tot' #align affine_basis.tot AffineBasis.tot protected theorem nonempty : Nonempty ι := not_isEmpty_iff.mp fun hι => by simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot #align affine_basis.nonempty AffineBasis.nonempty def reindex (e : ι ≃ ι') : AffineBasis ι' k P := ⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by rw [e.symm.surjective.range_comp] exact b.3⟩ #align affine_basis.reindex AffineBasis.reindex @[simp, norm_cast] theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm := rfl #align affine_basis.coe_reindex AffineBasis.coe_reindex @[simp] theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') := rfl #align affine_basis.reindex_apply AffineBasis.reindex_apply @[simp] theorem reindex_refl : b.reindex (Equiv.refl _) = b := ext rfl #align affine_basis.reindex_refl AffineBasis.reindex_refl noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V := Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind) (by suffices Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top] conv_rhs => rw [← image_univ] rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)] congr ext v simp) #align affine_basis.basis_of AffineBasis.basisOf @[simp]
Mathlib/LinearAlgebra/AffineSpace/Basis.lean
134
135
theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by
simp [basisOf]
false
import Mathlib.Order.CompleteLattice import Mathlib.Data.Finset.Lattice import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Category.Preorder import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.Shapes.FiniteLimits #align_import category_theory.limits.lattice from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" universe w u open CategoryTheory open CategoryTheory.Limits namespace CategoryTheory.Limits.CompleteLattice section Semilattice variable {α : Type u} variable {J : Type w} [SmallCategory J] [FinCategory J] def finiteLimitCone [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : LimitCone F where cone := { pt := Finset.univ.inf F.obj π := { app := fun j => homOfLE (Finset.inf_le (Fintype.complete _)) } } isLimit := { lift := fun s => homOfLE (Finset.le_inf fun j _ => (s.π.app j).down.down) } #align category_theory.limits.complete_lattice.finite_limit_cone CategoryTheory.Limits.CompleteLattice.finiteLimitCone def finiteColimitCocone [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : ColimitCocone F where cocone := { pt := Finset.univ.sup F.obj ι := { app := fun i => homOfLE (Finset.le_sup (Fintype.complete _)) } } isColimit := { desc := fun s => homOfLE (Finset.sup_le fun j _ => (s.ι.app j).down.down) } #align category_theory.limits.complete_lattice.finite_colimit_cocone CategoryTheory.Limits.CompleteLattice.finiteColimitCocone -- see Note [lower instance priority] instance (priority := 100) hasFiniteLimits_of_semilatticeInf_orderTop [SemilatticeInf α] [OrderTop α] : HasFiniteLimits α := ⟨by intro J 𝒥₁ 𝒥₂ exact { has_limit := fun F => HasLimit.mk (finiteLimitCone F) }⟩ #align category_theory.limits.complete_lattice.has_finite_limits_of_semilattice_inf_order_top CategoryTheory.Limits.CompleteLattice.hasFiniteLimits_of_semilatticeInf_orderTop -- see Note [lower instance priority] instance (priority := 100) hasFiniteColimits_of_semilatticeSup_orderBot [SemilatticeSup α] [OrderBot α] : HasFiniteColimits α := ⟨by intro J 𝒥₁ 𝒥₂ exact { has_colimit := fun F => HasColimit.mk (finiteColimitCocone F) }⟩ #align category_theory.limits.complete_lattice.has_finite_colimits_of_semilattice_sup_order_bot CategoryTheory.Limits.CompleteLattice.hasFiniteColimits_of_semilatticeSup_orderBot theorem finite_limit_eq_finset_univ_inf [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : limit F = Finset.univ.inf F.obj := (IsLimit.conePointUniqueUpToIso (limit.isLimit F) (finiteLimitCone F).isLimit).to_eq #align category_theory.limits.complete_lattice.finite_limit_eq_finset_univ_inf CategoryTheory.Limits.CompleteLattice.finite_limit_eq_finset_univ_inf theorem finite_colimit_eq_finset_univ_sup [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : colimit F = Finset.univ.sup F.obj := (IsColimit.coconePointUniqueUpToIso (colimit.isColimit F) (finiteColimitCocone F).isColimit).to_eq #align category_theory.limits.complete_lattice.finite_colimit_eq_finset_univ_sup CategoryTheory.Limits.CompleteLattice.finite_colimit_eq_finset_univ_sup theorem finite_product_eq_finset_inf [SemilatticeInf α] [OrderTop α] {ι : Type u} [Fintype ι] (f : ι → α) : ∏ᶜ f = Fintype.elems.inf f := by trans · exact (IsLimit.conePointUniqueUpToIso (limit.isLimit _) (finiteLimitCone (Discrete.functor f)).isLimit).to_eq change Finset.univ.inf (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.inf f simp only [← Finset.inf_map, Finset.univ_map_equiv_to_embedding] rfl #align category_theory.limits.complete_lattice.finite_product_eq_finset_inf CategoryTheory.Limits.CompleteLattice.finite_product_eq_finset_inf theorem finite_coproduct_eq_finset_sup [SemilatticeSup α] [OrderBot α] {ι : Type u} [Fintype ι] (f : ι → α) : ∐ f = Fintype.elems.sup f := by trans · exact (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (finiteColimitCocone (Discrete.functor f)).isColimit).to_eq change Finset.univ.sup (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.sup f simp only [← Finset.sup_map, Finset.univ_map_equiv_to_embedding] rfl #align category_theory.limits.complete_lattice.finite_coproduct_eq_finset_sup CategoryTheory.Limits.CompleteLattice.finite_coproduct_eq_finset_sup set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 -- see Note [lower instance priority] instance (priority := 100) [SemilatticeInf α] [OrderTop α] : HasBinaryProducts α := by have : ∀ x y : α, HasLimit (pair x y) := by letI := hasFiniteLimits_of_hasFiniteLimits_of_size.{u} α infer_instance apply hasBinaryProducts_of_hasLimit_pair @[simp]
Mathlib/CategoryTheory/Limits/Lattice.lean
122
128
theorem prod_eq_inf [SemilatticeInf α] [OrderTop α] (x y : α) : Limits.prod x y = x ⊓ y := calc Limits.prod x y = limit (pair x y) := rfl _ = Finset.univ.inf (pair x y).obj := by
rw [finite_limit_eq_finset_univ_inf (pair.{u} x y)] _ = x ⊓ (y ⊓ ⊤) := rfl -- Note: finset.inf is realized as a fold, hence the definitional equality _ = x ⊓ y := by rw [inf_top_eq]
false
import Mathlib.Analysis.Convex.Cone.Extension import Mathlib.Analysis.Convex.Gauge import Mathlib.Topology.Algebra.Module.FiniteDimension import Mathlib.Topology.Algebra.Module.LocallyConvex #align_import analysis.normed_space.hahn_banach.separation from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" open Set open Pointwise variable {𝕜 E : Type*}
Mathlib/Analysis/NormedSpace/HahnBanach/Separation.lean
47
76
theorem separate_convex_open_set [TopologicalSpace E] [AddCommGroup E] [TopologicalAddGroup E] [Module ℝ E] [ContinuousSMul ℝ E] {s : Set E} (hs₀ : (0 : E) ∈ s) (hs₁ : Convex ℝ s) (hs₂ : IsOpen s) {x₀ : E} (hx₀ : x₀ ∉ s) : ∃ f : E →L[ℝ] ℝ, f x₀ = 1 ∧ ∀ x ∈ s, f x < 1 := by
let f : E →ₗ.[ℝ] ℝ := LinearPMap.mkSpanSingleton x₀ 1 (ne_of_mem_of_not_mem hs₀ hx₀).symm have := exists_extension_of_le_sublinear f (gauge s) (fun c hc => gauge_smul_of_nonneg hc.le) (gauge_add_le hs₁ <| absorbent_nhds_zero <| hs₂.mem_nhds hs₀) ?_ · obtain ⟨φ, hφ₁, hφ₂⟩ := this have hφ₃ : φ x₀ = 1 := by rw [← f.domain.coe_mk x₀ (Submodule.mem_span_singleton_self _), hφ₁, LinearPMap.mkSpanSingleton'_apply_self] have hφ₄ : ∀ x ∈ s, φ x < 1 := fun x hx => (hφ₂ x).trans_lt (gauge_lt_one_of_mem_of_isOpen hs₂ hx) refine ⟨⟨φ, ?_⟩, hφ₃, hφ₄⟩ refine φ.continuous_of_nonzero_on_open _ (hs₂.vadd (-x₀)) (Nonempty.vadd_set ⟨0, hs₀⟩) (vadd_set_subset_iff.mpr fun x hx => ?_) change φ (-x₀ + x) ≠ 0 rw [map_add, map_neg] specialize hφ₄ x hx linarith rintro ⟨x, hx⟩ obtain ⟨y, rfl⟩ := Submodule.mem_span_singleton.1 hx rw [LinearPMap.mkSpanSingleton'_apply] simp only [mul_one, Algebra.id.smul_eq_mul, Submodule.coe_mk] obtain h | h := le_or_lt y 0 · exact h.trans (gauge_nonneg _) · rw [gauge_smul_of_nonneg h.le, smul_eq_mul, le_mul_iff_one_le_right h] exact one_le_gauge_of_not_mem (hs₁.starConvex hs₀) (absorbent_nhds_zero <| hs₂.mem_nhds hs₀).absorbs hx₀
false
import Mathlib.LinearAlgebra.Basis import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.LinearAlgebra.LinearPMap import Mathlib.LinearAlgebra.Projection #align_import linear_algebra.basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" open Function Set Submodule set_option autoImplicit false variable {ι : Type*} {ι' : Type*} {K : Type*} {V : Type*} {V' : Type*} section DivisionRing variable [DivisionRing K] [AddCommGroup V] [AddCommGroup V'] [Module K V] [Module K V'] variable {v : ι → V} {s t : Set V} {x y z : V} open Submodule namespace Basis section ExistsBasis noncomputable def extend (hs : LinearIndependent K ((↑) : s → V)) : Basis (hs.extend (subset_univ s)) K V := Basis.mk (@LinearIndependent.restrict_of_comp_subtype _ _ _ id _ _ _ _ (hs.linearIndependent_extend _)) (SetLike.coe_subset_coe.mp <| by simpa using hs.subset_span_extend (subset_univ s)) #align basis.extend Basis.extend theorem extend_apply_self (hs : LinearIndependent K ((↑) : s → V)) (x : hs.extend _) : Basis.extend hs x = x := Basis.mk_apply _ _ _ #align basis.extend_apply_self Basis.extend_apply_self @[simp] theorem coe_extend (hs : LinearIndependent K ((↑) : s → V)) : ⇑(Basis.extend hs) = ((↑) : _ → _) := funext (extend_apply_self hs) #align basis.coe_extend Basis.coe_extend
Mathlib/LinearAlgebra/Basis/VectorSpace.lean
67
69
theorem range_extend (hs : LinearIndependent K ((↑) : s → V)) : range (Basis.extend hs) = hs.extend (subset_univ _) := by
rw [coe_extend, Subtype.range_coe_subtype, setOf_mem_eq]
false
import Mathlib.Analysis.Complex.Circle import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.GeneralLinearGroup #align_import analysis.complex.isometry from "leanprover-community/mathlib"@"ae690b0c236e488a0043f6faa8ce3546e7f2f9c5" noncomputable section open Complex open ComplexConjugate local notation "|" x "|" => Complex.abs x def rotation : circle →* ℂ ≃ₗᵢ[ℝ] ℂ where toFun a := { DistribMulAction.toLinearEquiv ℝ ℂ a with norm_map' := fun x => show |a * x| = |x| by rw [map_mul, abs_coe_circle, one_mul] } map_one' := LinearIsometryEquiv.ext <| one_smul circle map_mul' a b := LinearIsometryEquiv.ext <| mul_smul a b #align rotation rotation @[simp] theorem rotation_apply (a : circle) (z : ℂ) : rotation a z = a * z := rfl #align rotation_apply rotation_apply @[simp] theorem rotation_symm (a : circle) : (rotation a).symm = rotation a⁻¹ := LinearIsometryEquiv.ext fun _ => rfl #align rotation_symm rotation_symm @[simp] theorem rotation_trans (a b : circle) : (rotation a).trans (rotation b) = rotation (b * a) := by ext1 simp #align rotation_trans rotation_trans theorem rotation_ne_conjLIE (a : circle) : rotation a ≠ conjLIE := by intro h have h1 : rotation a 1 = conj 1 := LinearIsometryEquiv.congr_fun h 1 have hI : rotation a I = conj I := LinearIsometryEquiv.congr_fun h I rw [rotation_apply, RingHom.map_one, mul_one] at h1 rw [rotation_apply, conj_I, ← neg_one_mul, mul_left_inj' I_ne_zero, h1, eq_neg_self_iff] at hI exact one_ne_zero hI #align rotation_ne_conj_lie rotation_ne_conjLIE @[simps] def rotationOf (e : ℂ ≃ₗᵢ[ℝ] ℂ) : circle := ⟨e 1 / Complex.abs (e 1), by simp⟩ #align rotation_of rotationOf @[simp] theorem rotationOf_rotation (a : circle) : rotationOf (rotation a) = a := Subtype.ext <| by simp #align rotation_of_rotation rotationOf_rotation theorem rotation_injective : Function.Injective rotation := Function.LeftInverse.injective rotationOf_rotation #align rotation_injective rotation_injective theorem LinearIsometry.re_apply_eq_re_of_add_conj_eq (f : ℂ →ₗᵢ[ℝ] ℂ) (h₃ : ∀ z, z + conj z = f z + conj (f z)) (z : ℂ) : (f z).re = z.re := by simpa [ext_iff, add_re, add_im, conj_re, conj_im, ← two_mul, show (2 : ℝ) ≠ 0 by simp [two_ne_zero]] using (h₃ z).symm #align linear_isometry.re_apply_eq_re_of_add_conj_eq LinearIsometry.re_apply_eq_re_of_add_conj_eq theorem LinearIsometry.im_apply_eq_im_or_neg_of_re_apply_eq_re {f : ℂ →ₗᵢ[ℝ] ℂ} (h₂ : ∀ z, (f z).re = z.re) (z : ℂ) : (f z).im = z.im ∨ (f z).im = -z.im := by have h₁ := f.norm_map z simp only [Complex.abs_def, norm_eq_abs] at h₁ rwa [Real.sqrt_inj (normSq_nonneg _) (normSq_nonneg _), normSq_apply (f z), normSq_apply z, h₂, add_left_cancel_iff, mul_self_eq_mul_self_iff] at h₁ #align linear_isometry.im_apply_eq_im_or_neg_of_re_apply_eq_re LinearIsometry.im_apply_eq_im_or_neg_of_re_apply_eq_re
Mathlib/Analysis/Complex/Isometry.lean
104
116
theorem LinearIsometry.im_apply_eq_im {f : ℂ →ₗᵢ[ℝ] ℂ} (h : f 1 = 1) (z : ℂ) : z + conj z = f z + conj (f z) := by
have : ‖f z - 1‖ = ‖z - 1‖ := by rw [← f.norm_map (z - 1), f.map_sub, h] apply_fun fun x => x ^ 2 at this simp only [norm_eq_abs, ← normSq_eq_abs] at this rw [← ofReal_inj, ← mul_conj, ← mul_conj] at this rw [RingHom.map_sub, RingHom.map_sub] at this simp only [sub_mul, mul_sub, one_mul, mul_one] at this rw [mul_conj, normSq_eq_abs, ← norm_eq_abs, LinearIsometry.norm_map] at this rw [mul_conj, normSq_eq_abs, ← norm_eq_abs] at this simp only [sub_sub, sub_right_inj, mul_one, ofReal_pow, RingHom.map_one, norm_eq_abs] at this simp only [add_sub, sub_left_inj] at this rw [add_comm, ← this, add_comm]
false
import Mathlib.Order.Ideal import Mathlib.Order.PFilter #align_import order.prime_ideal from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da" open Order.PFilter namespace Order variable {P : Type*} namespace Ideal -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure PrimePair (P : Type*) [Preorder P] where I : Ideal P F : PFilter P isCompl_I_F : IsCompl (I : Set P) F #align order.ideal.prime_pair Order.Ideal.PrimePair @[mk_iff] class IsPrime [Preorder P] (I : Ideal P) extends IsProper I : Prop where compl_filter : IsPFilter (I : Set P)ᶜ #align order.ideal.is_prime Order.Ideal.IsPrime section SemilatticeInf variable [SemilatticeInf P] {x y : P} {I : Ideal P}
Mathlib/Order/PrimeIdeal.lean
124
128
theorem IsPrime.mem_or_mem (hI : IsPrime I) {x y : P} : x ⊓ y ∈ I → x ∈ I ∨ y ∈ I := by
contrapose! let F := hI.compl_filter.toPFilter show x ∈ F ∧ y ∈ F → x ⊓ y ∈ F exact fun h => inf_mem h.1 h.2
false
import Mathlib.Algebra.DirectSum.Module import Mathlib.Algebra.Lie.OfAssociative import Mathlib.Algebra.Lie.Submodule import Mathlib.Algebra.Lie.Basic #align_import algebra.lie.direct_sum from "leanprover-community/mathlib"@"c0cc689babd41c0e9d5f02429211ffbe2403472a" universe u v w w₁ namespace DirectSum open DFinsupp open scoped DirectSum variable {R : Type u} {ι : Type v} [CommRing R] section Algebras variable (L : ι → Type w) variable [∀ i, LieRing (L i)] [∀ i, LieAlgebra R (L i)] instance lieRing : LieRing (⨁ i, L i) := { (inferInstance : AddCommGroup _) with bracket := zipWith (fun i => fun x y => ⁅x, y⁆) fun i => lie_zero 0 add_lie := fun x y z => by refine DFinsupp.ext fun _ => ?_ -- Porting note: Originally `ext` simp only [zipWith_apply, add_apply, add_lie] lie_add := fun x y z => by refine DFinsupp.ext fun _ => ?_ -- Porting note: Originally `ext` simp only [zipWith_apply, add_apply, lie_add] lie_self := fun x => by refine DFinsupp.ext fun _ => ?_ -- Porting note: Originally `ext` simp only [zipWith_apply, add_apply, lie_self, zero_apply] leibniz_lie := fun x y z => by refine DFinsupp.ext fun _ => ?_ -- Porting note: Originally `ext` simp only [sub_apply, zipWith_apply, add_apply, zero_apply] apply leibniz_lie } #align direct_sum.lie_ring DirectSum.lieRing @[simp] theorem bracket_apply (x y : ⨁ i, L i) (i : ι) : ⁅x, y⁆ i = ⁅x i, y i⁆ := zipWith_apply _ _ x y i #align direct_sum.bracket_apply DirectSum.bracket_apply theorem lie_of_same [DecidableEq ι] {i : ι} (x y : L i) : ⁅of L i x, of L i y⁆ = of L i ⁅x, y⁆ := DFinsupp.zipWith_single_single _ _ _ _ #align direct_sum.lie_of_of_eq DirectSum.lie_of_same theorem lie_of_of_ne [DecidableEq ι] {i j : ι} (hij : i ≠ j) (x : L i) (y : L j) : ⁅of L i x, of L j y⁆ = 0 := by refine DFinsupp.ext fun k => ?_ rw [bracket_apply] obtain rfl | hik := Decidable.eq_or_ne i k · rw [of_eq_of_ne _ _ _ _ hij.symm, lie_zero, zero_apply] · rw [of_eq_of_ne _ _ _ _ hik, zero_lie, zero_apply] #align direct_sum.lie_of_of_ne DirectSum.lie_of_of_ne @[simp]
Mathlib/Algebra/Lie/DirectSum.lean
140
144
theorem lie_of [DecidableEq ι] {i j : ι} (x : L i) (y : L j) : ⁅of L i x, of L j y⁆ = if hij : i = j then of L i ⁅x, hij.symm.recOn y⁆ else 0 := by
obtain rfl | hij := Decidable.eq_or_ne i j · simp only [lie_of_same L x y, dif_pos] · simp only [lie_of_of_ne L hij x y, hij, dif_neg, dite_false]
false
import Mathlib.Algebra.NeZero import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Lifts import Mathlib.Algebra.Polynomial.Splits import Mathlib.RingTheory.RootsOfUnity.Complex import Mathlib.NumberTheory.ArithmeticFunction import Mathlib.RingTheory.RootsOfUnity.Basic import Mathlib.FieldTheory.RatFunc.AsPolynomial #align_import ring_theory.polynomial.cyclotomic.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" open scoped Polynomial noncomputable section universe u namespace Polynomial section Cyclotomic' section IsDomain variable {R : Type*} [CommRing R] [IsDomain R] def cyclotomic' (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : R[X] := ∏ μ ∈ primitiveRoots n R, (X - C μ) #align polynomial.cyclotomic' Polynomial.cyclotomic' @[simp] theorem cyclotomic'_zero (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 0 R = 1 := by simp only [cyclotomic', Finset.prod_empty, primitiveRoots_zero] #align polynomial.cyclotomic'_zero Polynomial.cyclotomic'_zero @[simp] theorem cyclotomic'_one (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 1 R = X - 1 := by simp only [cyclotomic', Finset.prod_singleton, RingHom.map_one, IsPrimitiveRoot.primitiveRoots_one] #align polynomial.cyclotomic'_one Polynomial.cyclotomic'_one @[simp]
Mathlib/RingTheory/Polynomial/Cyclotomic/Basic.lean
85
91
theorem cyclotomic'_two (R : Type*) [CommRing R] [IsDomain R] (p : ℕ) [CharP R p] (hp : p ≠ 2) : cyclotomic' 2 R = X + 1 := by
rw [cyclotomic'] have prim_root_two : primitiveRoots 2 R = {(-1 : R)} := by simp only [Finset.eq_singleton_iff_unique_mem, mem_primitiveRoots two_pos] exact ⟨IsPrimitiveRoot.neg_one p hp, fun x => IsPrimitiveRoot.eq_neg_one_of_two_right⟩ simp only [prim_root_two, Finset.prod_singleton, RingHom.map_neg, RingHom.map_one, sub_neg_eq_add]
false
import Mathlib.Topology.MetricSpace.Antilipschitz #align_import topology.metric_space.isometry from "leanprover-community/mathlib"@"b1859b6d4636fdbb78c5d5cefd24530653cfd3eb" noncomputable section universe u v w variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} open Function Set open scoped Topology ENNReal def Isometry [PseudoEMetricSpace α] [PseudoEMetricSpace β] (f : α → β) : Prop := ∀ x1 x2 : α, edist (f x1) (f x2) = edist x1 x2 #align isometry Isometry theorem isometry_iff_nndist_eq [PseudoMetricSpace α] [PseudoMetricSpace β] {f : α → β} : Isometry f ↔ ∀ x y, nndist (f x) (f y) = nndist x y := by simp only [Isometry, edist_nndist, ENNReal.coe_inj] #align isometry_iff_nndist_eq isometry_iff_nndist_eq theorem isometry_iff_dist_eq [PseudoMetricSpace α] [PseudoMetricSpace β] {f : α → β} : Isometry f ↔ ∀ x y, dist (f x) (f y) = dist x y := by simp only [isometry_iff_nndist_eq, ← coe_nndist, NNReal.coe_inj] #align isometry_iff_dist_eq isometry_iff_dist_eq alias ⟨Isometry.dist_eq, _⟩ := isometry_iff_dist_eq #align isometry.dist_eq Isometry.dist_eq alias ⟨_, Isometry.of_dist_eq⟩ := isometry_iff_dist_eq #align isometry.of_dist_eq Isometry.of_dist_eq alias ⟨Isometry.nndist_eq, _⟩ := isometry_iff_nndist_eq #align isometry.nndist_eq Isometry.nndist_eq alias ⟨_, Isometry.of_nndist_eq⟩ := isometry_iff_nndist_eq #align isometry.of_nndist_eq Isometry.of_nndist_eq namespace Isometry section PseudoEmetricIsometry variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] [PseudoEMetricSpace γ] variable {f : α → β} {x y z : α} {s : Set α} theorem edist_eq (hf : Isometry f) (x y : α) : edist (f x) (f y) = edist x y := hf x y #align isometry.edist_eq Isometry.edist_eq theorem lipschitz (h : Isometry f) : LipschitzWith 1 f := LipschitzWith.of_edist_le fun x y => (h x y).le #align isometry.lipschitz Isometry.lipschitz theorem antilipschitz (h : Isometry f) : AntilipschitzWith 1 f := fun x y => by simp only [h x y, ENNReal.coe_one, one_mul, le_refl] #align isometry.antilipschitz Isometry.antilipschitz @[nontriviality] theorem _root_.isometry_subsingleton [Subsingleton α] : Isometry f := fun x y => by rw [Subsingleton.elim x y]; simp #align isometry_subsingleton isometry_subsingleton theorem _root_.isometry_id : Isometry (id : α → α) := fun _ _ => rfl #align isometry_id isometry_id theorem prod_map {δ} [PseudoEMetricSpace δ] {f : α → β} {g : γ → δ} (hf : Isometry f) (hg : Isometry g) : Isometry (Prod.map f g) := fun x y => by simp only [Prod.edist_eq, hf.edist_eq, hg.edist_eq, Prod.map_apply] #align isometry.prod_map Isometry.prod_map theorem _root_.isometry_dcomp {ι} [Fintype ι] {α β : ι → Type*} [∀ i, PseudoEMetricSpace (α i)] [∀ i, PseudoEMetricSpace (β i)] (f : ∀ i, α i → β i) (hf : ∀ i, Isometry (f i)) : Isometry (fun g : (i : ι) → α i => fun i => f i (g i)) := fun x y => by simp only [edist_pi_def, (hf _).edist_eq] #align isometry_dcomp isometry_dcomp theorem comp {g : β → γ} {f : α → β} (hg : Isometry g) (hf : Isometry f) : Isometry (g ∘ f) := fun _ _ => (hg _ _).trans (hf _ _) #align isometry.comp Isometry.comp protected theorem uniformContinuous (hf : Isometry f) : UniformContinuous f := hf.lipschitz.uniformContinuous #align isometry.uniform_continuous Isometry.uniformContinuous protected theorem uniformInducing (hf : Isometry f) : UniformInducing f := hf.antilipschitz.uniformInducing hf.uniformContinuous #align isometry.uniform_inducing Isometry.uniformInducing theorem tendsto_nhds_iff {ι : Type*} {f : α → β} {g : ι → α} {a : Filter ι} {b : α} (hf : Isometry f) : Filter.Tendsto g a (𝓝 b) ↔ Filter.Tendsto (f ∘ g) a (𝓝 (f b)) := hf.uniformInducing.inducing.tendsto_nhds_iff #align isometry.tendsto_nhds_iff Isometry.tendsto_nhds_iff protected theorem continuous (hf : Isometry f) : Continuous f := hf.lipschitz.continuous #align isometry.continuous Isometry.continuous theorem right_inv {f : α → β} {g : β → α} (h : Isometry f) (hg : RightInverse g f) : Isometry g := fun x y => by rw [← h, hg _, hg _] #align isometry.right_inv Isometry.right_inv theorem preimage_emetric_closedBall (h : Isometry f) (x : α) (r : ℝ≥0∞) : f ⁻¹' EMetric.closedBall (f x) r = EMetric.closedBall x r := by ext y simp [h.edist_eq] #align isometry.preimage_emetric_closed_ball Isometry.preimage_emetric_closedBall theorem preimage_emetric_ball (h : Isometry f) (x : α) (r : ℝ≥0∞) : f ⁻¹' EMetric.ball (f x) r = EMetric.ball x r := by ext y simp [h.edist_eq] #align isometry.preimage_emetric_ball Isometry.preimage_emetric_ball theorem ediam_image (hf : Isometry f) (s : Set α) : EMetric.diam (f '' s) = EMetric.diam s := eq_of_forall_ge_iff fun d => by simp only [EMetric.diam_le_iff, forall_mem_image, hf.edist_eq] #align isometry.ediam_image Isometry.ediam_image
Mathlib/Topology/MetricSpace/Isometry.lean
155
157
theorem ediam_range (hf : Isometry f) : EMetric.diam (range f) = EMetric.diam (univ : Set α) := by
rw [← image_univ] exact hf.ediam_image univ
false
import Mathlib.Topology.MetricSpace.HausdorffDistance import Mathlib.MeasureTheory.Constructions.BorelSpace.Order #align_import measure_theory.measure.regular from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" open Set Filter ENNReal Topology NNReal TopologicalSpace namespace MeasureTheory namespace Measure def InnerRegularWRT {α} {_ : MeasurableSpace α} (μ : Measure α) (p q : Set α → Prop) := ∀ ⦃U⦄, q U → ∀ r < μ U, ∃ K, K ⊆ U ∧ p K ∧ r < μ K #align measure_theory.measure.inner_regular MeasureTheory.Measure.InnerRegularWRT namespace InnerRegularWRT variable {α : Type*} {m : MeasurableSpace α} {μ : Measure α} {p q : Set α → Prop} {U : Set α} {ε : ℝ≥0∞} theorem measure_eq_iSup (H : InnerRegularWRT μ p q) (hU : q U) : μ U = ⨆ (K) (_ : K ⊆ U) (_ : p K), μ K := by refine le_antisymm (le_of_forall_lt fun r hr => ?_) (iSup₂_le fun K hK => iSup_le fun _ => μ.mono hK) simpa only [lt_iSup_iff, exists_prop] using H hU r hr #align measure_theory.measure.inner_regular.measure_eq_supr MeasureTheory.Measure.InnerRegularWRT.measure_eq_iSup theorem exists_subset_lt_add (H : InnerRegularWRT μ p q) (h0 : p ∅) (hU : q U) (hμU : μ U ≠ ∞) (hε : ε ≠ 0) : ∃ K, K ⊆ U ∧ p K ∧ μ U < μ K + ε := by rcases eq_or_ne (μ U) 0 with h₀ | h₀ · refine ⟨∅, empty_subset _, h0, ?_⟩ rwa [measure_empty, h₀, zero_add, pos_iff_ne_zero] · rcases H hU _ (ENNReal.sub_lt_self hμU h₀ hε) with ⟨K, hKU, hKc, hrK⟩ exact ⟨K, hKU, hKc, ENNReal.lt_add_of_sub_lt_right (Or.inl hμU) hrK⟩ #align measure_theory.measure.inner_regular.exists_subset_lt_add MeasureTheory.Measure.InnerRegularWRT.exists_subset_lt_add protected theorem map {α β} [MeasurableSpace α] [MeasurableSpace β] {μ : Measure α} {pa qa : Set α → Prop} (H : InnerRegularWRT μ pa qa) {f : α → β} (hf : AEMeasurable f μ) {pb qb : Set β → Prop} (hAB : ∀ U, qb U → qa (f ⁻¹' U)) (hAB' : ∀ K, pa K → pb (f '' K)) (hB₂ : ∀ U, qb U → MeasurableSet U) : InnerRegularWRT (map f μ) pb qb := by intro U hU r hr rw [map_apply_of_aemeasurable hf (hB₂ _ hU)] at hr rcases H (hAB U hU) r hr with ⟨K, hKU, hKc, hK⟩ refine ⟨f '' K, image_subset_iff.2 hKU, hAB' _ hKc, ?_⟩ exact hK.trans_le (le_map_apply_image hf _) #align measure_theory.measure.inner_regular.map MeasureTheory.Measure.InnerRegularWRT.map theorem map' {α β} [MeasurableSpace α] [MeasurableSpace β] {μ : Measure α} {pa qa : Set α → Prop} (H : InnerRegularWRT μ pa qa) (f : α ≃ᵐ β) {pb qb : Set β → Prop} (hAB : ∀ U, qb U → qa (f ⁻¹' U)) (hAB' : ∀ K, pa K → pb (f '' K)) : InnerRegularWRT (map f μ) pb qb := by intro U hU r hr rw [f.map_apply U] at hr rcases H (hAB U hU) r hr with ⟨K, hKU, hKc, hK⟩ refine ⟨f '' K, image_subset_iff.2 hKU, hAB' _ hKc, ?_⟩ rwa [f.map_apply, f.preimage_image] theorem smul (H : InnerRegularWRT μ p q) (c : ℝ≥0∞) : InnerRegularWRT (c • μ) p q := by intro U hU r hr rw [smul_apply, H.measure_eq_iSup hU, smul_eq_mul] at hr simpa only [ENNReal.mul_iSup, lt_iSup_iff, exists_prop] using hr #align measure_theory.measure.inner_regular.smul MeasureTheory.Measure.InnerRegularWRT.smul
Mathlib/MeasureTheory/Measure/Regular.lean
260
264
theorem trans {q' : Set α → Prop} (H : InnerRegularWRT μ p q) (H' : InnerRegularWRT μ q q') : InnerRegularWRT μ p q' := by
intro U hU r hr rcases H' hU r hr with ⟨F, hFU, hqF, hF⟩; rcases H hqF _ hF with ⟨K, hKF, hpK, hrK⟩ exact ⟨K, hKF.trans hFU, hpK, hrK⟩
false
import Mathlib.Analysis.SpecialFunctions.Pow.Real #align_import analysis.special_functions.pow.nnreal from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" noncomputable section open scoped Classical open Real NNReal ENNReal ComplexConjugate open Finset Function Set namespace NNReal variable {w x y z : ℝ} noncomputable def rpow (x : ℝ≥0) (y : ℝ) : ℝ≥0 := ⟨(x : ℝ) ^ y, Real.rpow_nonneg x.2 y⟩ #align nnreal.rpow NNReal.rpow noncomputable instance : Pow ℝ≥0 ℝ := ⟨rpow⟩ @[simp] theorem rpow_eq_pow (x : ℝ≥0) (y : ℝ) : rpow x y = x ^ y := rfl #align nnreal.rpow_eq_pow NNReal.rpow_eq_pow @[simp, norm_cast] theorem coe_rpow (x : ℝ≥0) (y : ℝ) : ((x ^ y : ℝ≥0) : ℝ) = (x : ℝ) ^ y := rfl #align nnreal.coe_rpow NNReal.coe_rpow @[simp] theorem rpow_zero (x : ℝ≥0) : x ^ (0 : ℝ) = 1 := NNReal.eq <| Real.rpow_zero _ #align nnreal.rpow_zero NNReal.rpow_zero @[simp] theorem rpow_eq_zero_iff {x : ℝ≥0} {y : ℝ} : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by rw [← NNReal.coe_inj, coe_rpow, ← NNReal.coe_eq_zero] exact Real.rpow_eq_zero_iff_of_nonneg x.2 #align nnreal.rpow_eq_zero_iff NNReal.rpow_eq_zero_iff @[simp] theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ≥0) ^ x = 0 := NNReal.eq <| Real.zero_rpow h #align nnreal.zero_rpow NNReal.zero_rpow @[simp] theorem rpow_one (x : ℝ≥0) : x ^ (1 : ℝ) = x := NNReal.eq <| Real.rpow_one _ #align nnreal.rpow_one NNReal.rpow_one @[simp] theorem one_rpow (x : ℝ) : (1 : ℝ≥0) ^ x = 1 := NNReal.eq <| Real.one_rpow _ #align nnreal.one_rpow NNReal.one_rpow theorem rpow_add {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z := NNReal.eq <| Real.rpow_add (pos_iff_ne_zero.2 hx) _ _ #align nnreal.rpow_add NNReal.rpow_add theorem rpow_add' (x : ℝ≥0) {y z : ℝ} (h : y + z ≠ 0) : x ^ (y + z) = x ^ y * x ^ z := NNReal.eq <| Real.rpow_add' x.2 h #align nnreal.rpow_add' NNReal.rpow_add' lemma rpow_of_add_eq (x : ℝ≥0) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by rw [← h, rpow_add']; rwa [h] theorem rpow_mul (x : ℝ≥0) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z := NNReal.eq <| Real.rpow_mul x.2 y z #align nnreal.rpow_mul NNReal.rpow_mul theorem rpow_neg (x : ℝ≥0) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ := NNReal.eq <| Real.rpow_neg x.2 _ #align nnreal.rpow_neg NNReal.rpow_neg
Mathlib/Analysis/SpecialFunctions/Pow/NNReal.lean
97
97
theorem rpow_neg_one (x : ℝ≥0) : x ^ (-1 : ℝ) = x⁻¹ := by
simp [rpow_neg]
false
import Mathlib.Analysis.SpecialFunctions.Bernstein import Mathlib.Topology.Algebra.Algebra #align_import topology.continuous_function.weierstrass from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" open ContinuousMap Filter open scoped unitInterval theorem polynomialFunctions_closure_eq_top' : (polynomialFunctions I).topologicalClosure = ⊤ := by rw [eq_top_iff] rintro f - refine Filter.Frequently.mem_closure ?_ refine Filter.Tendsto.frequently (bernsteinApproximation_uniform f) ?_ apply frequently_of_forall intro n simp only [SetLike.mem_coe] apply Subalgebra.sum_mem rintro n - apply Subalgebra.smul_mem dsimp [bernstein, polynomialFunctions] simp #align polynomial_functions_closure_eq_top' polynomialFunctions_closure_eq_top'
Mathlib/Topology/ContinuousFunction/Weierstrass.lean
54
79
theorem polynomialFunctions_closure_eq_top (a b : ℝ) : (polynomialFunctions (Set.Icc a b)).topologicalClosure = ⊤ := by
cases' lt_or_le a b with h h -- (Otherwise it's easy; we'll deal with that later.) · -- We can pullback continuous functions on `[a,b]` to continuous functions on `[0,1]`, -- by precomposing with an affine map. let W : C(Set.Icc a b, ℝ) →ₐ[ℝ] C(I, ℝ) := compRightAlgHom ℝ ℝ (iccHomeoI a b h).symm.toContinuousMap -- This operation is itself a homeomorphism -- (with respect to the norm topologies on continuous functions). let W' : C(Set.Icc a b, ℝ) ≃ₜ C(I, ℝ) := compRightHomeomorph ℝ (iccHomeoI a b h).symm have w : (W : C(Set.Icc a b, ℝ) → C(I, ℝ)) = W' := rfl -- Thus we take the statement of the Weierstrass approximation theorem for `[0,1]`, have p := polynomialFunctions_closure_eq_top' -- and pullback both sides, obtaining an equation between subalgebras of `C([a,b], ℝ)`. apply_fun fun s => s.comap W at p simp only [Algebra.comap_top] at p -- Since the pullback operation is continuous, it commutes with taking `topologicalClosure`, rw [Subalgebra.topologicalClosure_comap_homeomorph _ W W' w] at p -- and precomposing with an affine map takes polynomial functions to polynomial functions. rw [polynomialFunctions.comap_compRightAlgHom_iccHomeoI] at p -- 🎉 exact p · -- Otherwise, `b ≤ a`, and the interval is a subsingleton, have : Subsingleton (Set.Icc a b) := (Set.subsingleton_Icc_of_ge h).coe_sort apply Subsingleton.elim
false
import Mathlib.FieldTheory.PrimitiveElement import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.Galois #align_import ring_theory.norm from "leanprover-community/mathlib"@"fecd3520d2a236856f254f27714b80dcfe28ea57" universe u v w variable {R S T : Type*} [CommRing R] [Ring S] variable [Algebra R S] variable {K L F : Type*} [Field K] [Field L] [Field F] variable [Algebra K L] [Algebra K F] variable {ι : Type w} open FiniteDimensional open LinearMap open Matrix Polynomial open scoped Matrix namespace Algebra variable (R) noncomputable def norm : S →* R := LinearMap.det.comp (lmul R S).toRingHom.toMonoidHom #align algebra.norm Algebra.norm theorem norm_apply (x : S) : norm R x = LinearMap.det (lmul R S x) := rfl #align algebra.norm_apply Algebra.norm_apply theorem norm_eq_one_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) (x : S) : norm R x = 1 := by rw [norm_apply, LinearMap.det]; split_ifs <;> trivial #align algebra.norm_eq_one_of_not_exists_basis Algebra.norm_eq_one_of_not_exists_basis variable {R} theorem norm_eq_one_of_not_module_finite (h : ¬Module.Finite R S) (x : S) : norm R x = 1 := by refine norm_eq_one_of_not_exists_basis _ (mt ?_ h) _ rintro ⟨s, ⟨b⟩⟩ exact Module.Finite.of_basis b #align algebra.norm_eq_one_of_not_module_finite Algebra.norm_eq_one_of_not_module_finite -- Can't be a `simp` lemma because it depends on a choice of basis theorem norm_eq_matrix_det [Fintype ι] [DecidableEq ι] (b : Basis ι R S) (s : S) : norm R s = Matrix.det (Algebra.leftMulMatrix b s) := by rw [norm_apply, ← LinearMap.det_toMatrix b, ← toMatrix_lmul_eq]; rfl #align algebra.norm_eq_matrix_det Algebra.norm_eq_matrix_det theorem norm_algebraMap_of_basis [Fintype ι] (b : Basis ι R S) (x : R) : norm R (algebraMap R S x) = x ^ Fintype.card ι := by haveI := Classical.decEq ι rw [norm_apply, ← det_toMatrix b, lmul_algebraMap] convert @det_diagonal _ _ _ _ _ fun _ : ι => x · ext (i j); rw [toMatrix_lsmul] · rw [Finset.prod_const, Finset.card_univ] #align algebra.norm_algebra_map_of_basis Algebra.norm_algebraMap_of_basis @[simp] protected theorem norm_algebraMap {L : Type*} [Ring L] [Algebra K L] (x : K) : norm K (algebraMap K L x) = x ^ finrank K L := by by_cases H : ∃ s : Finset L, Nonempty (Basis s K L) · rw [norm_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some] · rw [norm_eq_one_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis, pow_zero] rintro ⟨s, ⟨b⟩⟩ exact H ⟨s, ⟨b⟩⟩ #align algebra.norm_algebra_map Algebra.norm_algebraMap open IntermediateField variable (K)
Mathlib/RingTheory/Norm.lean
197
207
theorem norm_eq_norm_adjoin [FiniteDimensional K L] [IsSeparable K L] (x : L) : norm K x = norm K (AdjoinSimple.gen K x) ^ finrank K⟮x⟯ L := by
letI := isSeparable_tower_top_of_isSeparable K K⟮x⟯ L let pbL := Field.powerBasisOfFiniteOfSeparable K⟮x⟯ L let pbx := IntermediateField.adjoin.powerBasis (IsSeparable.isIntegral K x) -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [← AdjoinSimple.algebraMap_gen K x, norm_eq_matrix_det (pbx.basis.smul pbL.basis) _, smul_leftMulMatrix_algebraMap, det_blockDiagonal, norm_eq_matrix_det pbx.basis] simp only [Finset.card_fin, Finset.prod_const] congr rw [← PowerBasis.finrank, AdjoinSimple.algebraMap_gen K x]
false
import Mathlib.Algebra.Group.Equiv.Basic import Mathlib.Algebra.Ring.Basic import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Order.Hom.Basic #align_import algebra.order.sub.basic from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" variable {α β : Type*} section Add variable [Preorder α] [Add α] [Sub α] [OrderedSub α] {a b c d : α} theorem AddHom.le_map_tsub [Preorder β] [Add β] [Sub β] [OrderedSub β] (f : AddHom α β) (hf : Monotone f) (a b : α) : f a - f b ≤ f (a - b) := by rw [tsub_le_iff_right, ← f.map_add] exact hf le_tsub_add #align add_hom.le_map_tsub AddHom.le_map_tsub theorem le_mul_tsub {R : Type*} [Distrib R] [Preorder R] [Sub R] [OrderedSub R] [CovariantClass R R (· * ·) (· ≤ ·)] {a b c : R} : a * b - a * c ≤ a * (b - c) := (AddHom.mulLeft a).le_map_tsub (monotone_id.const_mul' a) _ _ #align le_mul_tsub le_mul_tsub
Mathlib/Algebra/Order/Sub/Basic.lean
36
38
theorem le_tsub_mul {R : Type*} [CommSemiring R] [Preorder R] [Sub R] [OrderedSub R] [CovariantClass R R (· * ·) (· ≤ ·)] {a b c : R} : a * c - b * c ≤ (a - b) * c := by
simpa only [mul_comm _ c] using le_mul_tsub
false
import Mathlib.Algebra.Homology.Linear import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex import Mathlib.Tactic.Abel #align_import algebra.homology.homotopy from "leanprover-community/mathlib"@"618ea3d5c99240cd7000d8376924906a148bf9ff" universe v u open scoped Classical noncomputable section open CategoryTheory Category Limits HomologicalComplex variable {ι : Type*} variable {V : Type u} [Category.{v} V] [Preadditive V] variable {c : ComplexShape ι} {C D E : HomologicalComplex V c} variable (f g : C ⟶ D) (h k : D ⟶ E) (i : ι) section def dNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X i ⟶ D.X i) := AddMonoidHom.mk' (fun f => C.d i (c.next i) ≫ f (c.next i) i) fun _ _ => Preadditive.comp_add _ _ _ _ _ _ #align d_next dNext def fromNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.xNext i ⟶ D.X i) := AddMonoidHom.mk' (fun f => f (c.next i) i) fun _ _ => rfl #align from_next fromNext @[simp] theorem dNext_eq_dFrom_fromNext (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) : dNext i f = C.dFrom i ≫ fromNext i f := rfl #align d_next_eq_d_from_from_next dNext_eq_dFrom_fromNext theorem dNext_eq (f : ∀ i j, C.X i ⟶ D.X j) {i i' : ι} (w : c.Rel i i') : dNext i f = C.d i i' ≫ f i' i := by obtain rfl := c.next_eq' w rfl #align d_next_eq dNext_eq lemma dNext_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel i (c.next i)) : dNext i f = 0 := by dsimp [dNext] rw [shape _ _ _ hi, zero_comp] @[simp 1100] theorem dNext_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (i : ι) : (dNext i fun i j => f.f i ≫ g i j) = f.f i ≫ dNext i g := (f.comm_assoc _ _ _).symm #align d_next_comp_left dNext_comp_left @[simp 1100] theorem dNext_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (i : ι) : (dNext i fun i j => f i j ≫ g.f j) = dNext i f ≫ g.f i := (assoc _ _ _).symm #align d_next_comp_right dNext_comp_right def prevD (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.X j) := AddMonoidHom.mk' (fun f => f j (c.prev j) ≫ D.d (c.prev j) j) fun _ _ => Preadditive.add_comp _ _ _ _ _ _ #align prev_d prevD lemma prevD_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel (c.prev i) i) : prevD i f = 0 := by dsimp [prevD] rw [shape _ _ _ hi, comp_zero] def toPrev (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.xPrev j) := AddMonoidHom.mk' (fun f => f j (c.prev j)) fun _ _ => rfl #align to_prev toPrev @[simp] theorem prevD_eq_toPrev_dTo (f : ∀ i j, C.X i ⟶ D.X j) (j : ι) : prevD j f = toPrev j f ≫ D.dTo j := rfl #align prev_d_eq_to_prev_d_to prevD_eq_toPrev_dTo theorem prevD_eq (f : ∀ i j, C.X i ⟶ D.X j) {j j' : ι} (w : c.Rel j' j) : prevD j f = f j j' ≫ D.d j' j := by obtain rfl := c.prev_eq' w rfl #align prev_d_eq prevD_eq @[simp 1100] theorem prevD_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (j : ι) : (prevD j fun i j => f.f i ≫ g i j) = f.f j ≫ prevD j g := assoc _ _ _ #align prev_d_comp_left prevD_comp_left @[simp 1100]
Mathlib/Algebra/Homology/Homotopy.lean
109
112
theorem prevD_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (j : ι) : (prevD j fun i j => f i j ≫ g.f j) = prevD j f ≫ g.f j := by
dsimp [prevD] simp only [assoc, g.comm]
false
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.Normed.Group.AddTorsor #align_import analysis.convex.side from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" variable {R V V' P P' : Type*} open AffineEquiv AffineMap namespace AffineSubspace section StrictOrderedCommRing variable [StrictOrderedCommRing R] [AddCommGroup V] [Module R V] [AddTorsor V P] variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P'] def WSameSide (s : AffineSubspace R P) (x y : P) : Prop := ∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (y -ᵥ p₂) #align affine_subspace.w_same_side AffineSubspace.WSameSide def SSameSide (s : AffineSubspace R P) (x y : P) : Prop := s.WSameSide x y ∧ x ∉ s ∧ y ∉ s #align affine_subspace.s_same_side AffineSubspace.SSameSide def WOppSide (s : AffineSubspace R P) (x y : P) : Prop := ∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (p₂ -ᵥ y) #align affine_subspace.w_opp_side AffineSubspace.WOppSide def SOppSide (s : AffineSubspace R P) (x y : P) : Prop := s.WOppSide x y ∧ x ∉ s ∧ y ∉ s #align affine_subspace.s_opp_side AffineSubspace.SOppSide theorem WSameSide.map {s : AffineSubspace R P} {x y : P} (h : s.WSameSide x y) (f : P →ᵃ[R] P') : (s.map f).WSameSide (f x) (f y) := by rcases h with ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨f p₁, mem_map_of_mem f hp₁, f p₂, mem_map_of_mem f hp₂, ?_⟩ simp_rw [← linearMap_vsub] exact h.map f.linear #align affine_subspace.w_same_side.map AffineSubspace.WSameSide.map
Mathlib/Analysis/Convex/Side.lean
70
80
theorem _root_.Function.Injective.wSameSide_map_iff {s : AffineSubspace R P} {x y : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : (s.map f).WSameSide (f x) (f y) ↔ s.WSameSide x y := by
refine ⟨fun h => ?_, fun h => h.map _⟩ rcases h with ⟨fp₁, hfp₁, fp₂, hfp₂, h⟩ rw [mem_map] at hfp₁ hfp₂ rcases hfp₁ with ⟨p₁, hp₁, rfl⟩ rcases hfp₂ with ⟨p₂, hp₂, rfl⟩ refine ⟨p₁, hp₁, p₂, hp₂, ?_⟩ simp_rw [← linearMap_vsub, (f.linear_injective_iff.2 hf).sameRay_map_iff] at h exact h
false
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order #align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Filter MeasureTheory MeasurableSpace open scoped Classical Topology NNReal ENNReal MeasureTheory universe u v w x y variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α} namespace Real theorem borel_eq_generateFrom_Ioo_rat : borel ℝ = .generateFrom (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) := isTopologicalBasis_Ioo_rat.borel_eq_generateFrom #align real.borel_eq_generate_from_Ioo_rat Real.borel_eq_generateFrom_Ioo_rat theorem borel_eq_generateFrom_Iio_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iio (a : ℝ)}) := by rw [borel_eq_generateFrom_Iio] refine le_antisymm (generateFrom_le ?_) (generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _) rintro _ ⟨a, rfl⟩ have : IsLUB (range ((↑) : ℚ → ℝ) ∩ Iio a) a := by simp [isLUB_iff_le_iff, mem_upperBounds, ← le_iff_forall_rat_lt_imp_le] rw [← this.biUnion_Iio_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image] exact MeasurableSet.biUnion (to_countable _) fun b _ => GenerateMeasurable.basic (Iio (b : ℝ)) (by simp) theorem borel_eq_generateFrom_Ioi_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ioi (a : ℝ)}) := by rw [borel_eq_generateFrom_Ioi] refine le_antisymm (generateFrom_le ?_) (generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _) rintro _ ⟨a, rfl⟩ have : IsGLB (range ((↑) : ℚ → ℝ) ∩ Ioi a) a := by simp [isGLB_iff_le_iff, mem_lowerBounds, ← le_iff_forall_lt_rat_imp_le] rw [← this.biUnion_Ioi_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image] exact MeasurableSet.biUnion (to_countable _) fun b _ => GenerateMeasurable.basic (Ioi (b : ℝ)) (by simp) theorem borel_eq_generateFrom_Iic_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iic (a : ℝ)}) := by rw [borel_eq_generateFrom_Ioi_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range] refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;> rintro _ ⟨q, rfl⟩ <;> dsimp only <;> [rw [← compl_Iic]; rw [← compl_Ioi]] <;> exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q)) theorem borel_eq_generateFrom_Ici_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ici (a : ℝ)}) := by rw [borel_eq_generateFrom_Iio_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range] refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;> rintro _ ⟨q, rfl⟩ <;> dsimp only <;> [rw [← compl_Ici]; rw [← compl_Iio]] <;> exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q)) theorem isPiSystem_Ioo_rat : IsPiSystem (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) := by convert isPiSystem_Ioo ((↑) : ℚ → ℝ) ((↑) : ℚ → ℝ) ext x simp [eq_comm] #align real.is_pi_system_Ioo_rat Real.isPiSystem_Ioo_rat
Mathlib/MeasureTheory/Constructions/BorelSpace/Real.lean
91
94
theorem isPiSystem_Iio_rat : IsPiSystem (⋃ a : ℚ, {Iio (a : ℝ)}) := by
convert isPiSystem_image_Iio (((↑) : ℚ → ℝ) '' univ) ext x simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
false
import Mathlib.Algebra.Module.Submodule.Ker open Function Submodule namespace LinearMap variable {R N M : Type*} [Semiring R] [AddCommMonoid N] [Module R N] [AddCommMonoid M] [Module R M] (f i : N →ₗ[R] M) def iterateMapComap (n : ℕ) := (fun K : Submodule R N ↦ (K.map i).comap f)^[n] theorem iterateMapComap_le_succ (K : Submodule R N) (h : K.map f ≤ K.map i) (n : ℕ) : f.iterateMapComap i n K ≤ f.iterateMapComap i (n + 1) K := by nth_rw 2 [iterateMapComap] rw [iterate_succ', Function.comp_apply, ← iterateMapComap, ← map_le_iff_le_comap] induction n with | zero => exact h | succ n ih => simp_rw [iterateMapComap, iterate_succ', Function.comp_apply] calc _ ≤ (f.iterateMapComap i n K).map i := map_comap_le _ _ _ ≤ (((f.iterateMapComap i n K).map f).comap f).map i := map_mono (le_comap_map _ _) _ ≤ _ := map_mono (comap_mono ih) theorem iterateMapComap_eq_succ (K : Submodule R N) (m : ℕ) (heq : f.iterateMapComap i m K = f.iterateMapComap i (m + 1) K) (hf : Surjective f) (hi : Injective i) (n : ℕ) : f.iterateMapComap i n K = f.iterateMapComap i (n + 1) K := by induction n with | zero => contrapose! heq induction m with | zero => exact heq | succ m ih => rw [iterateMapComap, iterateMapComap, iterate_succ', iterate_succ'] exact fun H ↦ ih (map_injective_of_injective hi (comap_injective_of_surjective hf H)) | succ n ih => rw [iterateMapComap, iterateMapComap, iterate_succ', iterate_succ', Function.comp_apply, Function.comp_apply, ← iterateMapComap, ← iterateMapComap, ih]
Mathlib/Algebra/Module/Submodule/IterateMapComap.lean
88
92
theorem ker_le_of_iterateMapComap_eq_succ (K : Submodule R N) (m : ℕ) (heq : f.iterateMapComap i m K = f.iterateMapComap i (m + 1) K) (hf : Surjective f) (hi : Injective i) : LinearMap.ker f ≤ K := by
rw [show K = _ from f.iterateMapComap_eq_succ i K m heq hf hi 0] exact f.ker_le_comap
false
import Mathlib.Topology.ContinuousFunction.Bounded import Mathlib.Topology.UniformSpace.Compact import Mathlib.Topology.CompactOpen import Mathlib.Topology.Sets.Compacts import Mathlib.Analysis.Normed.Group.InfiniteSum #align_import topology.continuous_function.compact from "leanprover-community/mathlib"@"d3af0609f6db8691dffdc3e1fb7feb7da72698f2" noncomputable section open scoped Classical open Topology NNReal BoundedContinuousFunction open Set Filter Metric open BoundedContinuousFunction namespace ContinuousMap variable {α β E : Type*} [TopologicalSpace α] [CompactSpace α] [MetricSpace β] [NormedAddCommGroup E] section variable (α β) @[simps (config := .asFn)] def equivBoundedOfCompact : C(α, β) ≃ (α →ᵇ β) := ⟨mkOfCompact, BoundedContinuousFunction.toContinuousMap, fun f => by ext rfl, fun f => by ext rfl⟩ #align continuous_map.equiv_bounded_of_compact ContinuousMap.equivBoundedOfCompact theorem uniformInducing_equivBoundedOfCompact : UniformInducing (equivBoundedOfCompact α β) := UniformInducing.mk' (by simp only [hasBasis_compactConvergenceUniformity.mem_iff, uniformity_basis_dist_le.mem_iff] exact fun s => ⟨fun ⟨⟨a, b⟩, ⟨_, ⟨ε, hε, hb⟩⟩, hs⟩ => ⟨{ p | ∀ x, (p.1 x, p.2 x) ∈ b }, ⟨ε, hε, fun _ h x => hb ((dist_le hε.le).mp h x)⟩, fun f g h => hs fun x _ => h x⟩, fun ⟨_, ⟨ε, hε, ht⟩, hs⟩ => ⟨⟨Set.univ, { p | dist p.1 p.2 ≤ ε }⟩, ⟨isCompact_univ, ⟨ε, hε, fun _ h => h⟩⟩, fun ⟨f, g⟩ h => hs _ _ (ht ((dist_le hε.le).mpr fun x => h x (mem_univ x)))⟩⟩) #align continuous_map.uniform_inducing_equiv_bounded_of_compact ContinuousMap.uniformInducing_equivBoundedOfCompact theorem uniformEmbedding_equivBoundedOfCompact : UniformEmbedding (equivBoundedOfCompact α β) := { uniformInducing_equivBoundedOfCompact α β with inj := (equivBoundedOfCompact α β).injective } #align continuous_map.uniform_embedding_equiv_bounded_of_compact ContinuousMap.uniformEmbedding_equivBoundedOfCompact -- Porting note: the following `simps` received a "maximum recursion depth" error -- @[simps! (config := .asFn) apply symm_apply] def addEquivBoundedOfCompact [AddMonoid β] [LipschitzAdd β] : C(α, β) ≃+ (α →ᵇ β) := ({ toContinuousMapAddHom α β, (equivBoundedOfCompact α β).symm with } : (α →ᵇ β) ≃+ C(α, β)).symm #align continuous_map.add_equiv_bounded_of_compact ContinuousMap.addEquivBoundedOfCompact -- Porting note: added this `simp` lemma manually because of the `simps` error above @[simp] theorem addEquivBoundedOfCompact_symm_apply [AddMonoid β] [LipschitzAdd β] : ⇑((addEquivBoundedOfCompact α β).symm) = toContinuousMapAddHom α β := rfl -- Porting note: added this `simp` lemma manually because of the `simps` error above @[simp] theorem addEquivBoundedOfCompact_apply [AddMonoid β] [LipschitzAdd β] : ⇑(addEquivBoundedOfCompact α β) = mkOfCompact := rfl instance metricSpace : MetricSpace C(α, β) := (uniformEmbedding_equivBoundedOfCompact α β).comapMetricSpace _ #align continuous_map.metric_space ContinuousMap.metricSpace @[simps! (config := .asFn) toEquiv apply symm_apply] def isometryEquivBoundedOfCompact : C(α, β) ≃ᵢ (α →ᵇ β) where isometry_toFun _ _ := rfl toEquiv := equivBoundedOfCompact α β #align continuous_map.isometry_equiv_bounded_of_compact ContinuousMap.isometryEquivBoundedOfCompact end @[simp] theorem _root_.BoundedContinuousFunction.dist_mkOfCompact (f g : C(α, β)) : dist (mkOfCompact f) (mkOfCompact g) = dist f g := rfl #align bounded_continuous_function.dist_mk_of_compact BoundedContinuousFunction.dist_mkOfCompact @[simp] theorem _root_.BoundedContinuousFunction.dist_toContinuousMap (f g : α →ᵇ β) : dist f.toContinuousMap g.toContinuousMap = dist f g := rfl #align bounded_continuous_function.dist_to_continuous_map BoundedContinuousFunction.dist_toContinuousMap open BoundedContinuousFunction section variable {f g : C(α, β)} {C : ℝ} theorem dist_apply_le_dist (x : α) : dist (f x) (g x) ≤ dist f g := by simp only [← dist_mkOfCompact, dist_coe_le_dist, ← mkOfCompact_apply] #align continuous_map.dist_apply_le_dist ContinuousMap.dist_apply_le_dist theorem dist_le (C0 : (0 : ℝ) ≤ C) : dist f g ≤ C ↔ ∀ x : α, dist (f x) (g x) ≤ C := by simp only [← dist_mkOfCompact, BoundedContinuousFunction.dist_le C0, mkOfCompact_apply] #align continuous_map.dist_le ContinuousMap.dist_le
Mathlib/Topology/ContinuousFunction/Compact.lean
141
143
theorem dist_le_iff_of_nonempty [Nonempty α] : dist f g ≤ C ↔ ∀ x, dist (f x) (g x) ≤ C := by
simp only [← dist_mkOfCompact, BoundedContinuousFunction.dist_le_iff_of_nonempty, mkOfCompact_apply]
false
import Mathlib.Analysis.SpecialFunctions.Log.Deriv import Mathlib.MeasureTheory.Integral.FundThmCalculus #align_import analysis.special_functions.non_integrable from "leanprover-community/mathlib"@"55ec6e9af7d3e0043f57e394cb06a72f6275273e" open scoped MeasureTheory Topology Interval NNReal ENNReal open MeasureTheory TopologicalSpace Set Filter Asymptotics intervalIntegral variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] theorem not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter_aux [CompleteSpace E] {f : ℝ → E} {g : ℝ → F} {k : Set ℝ} (l : Filter ℝ) [NeBot l] [TendstoIxxClass Icc l l] (hl : k ∈ l) (hd : ∀ᶠ x in l, DifferentiableAt ℝ f x) (hf : Tendsto (fun x => ‖f x‖) l atTop) (hfg : deriv f =O[l] g) : ¬IntegrableOn g k := by intro hgi obtain ⟨C, hC₀, s, hsl, hsub, hfd, hg⟩ : ∃ (C : ℝ) (_ : 0 ≤ C), ∃ s ∈ l, (∀ x ∈ s, ∀ y ∈ s, [[x, y]] ⊆ k) ∧ (∀ x ∈ s, ∀ y ∈ s, ∀ z ∈ [[x, y]], DifferentiableAt ℝ f z) ∧ ∀ x ∈ s, ∀ y ∈ s, ∀ z ∈ [[x, y]], ‖deriv f z‖ ≤ C * ‖g z‖ := by rcases hfg.exists_nonneg with ⟨C, C₀, hC⟩ have h : ∀ᶠ x : ℝ × ℝ in l.prod l, ∀ y ∈ [[x.1, x.2]], (DifferentiableAt ℝ f y ∧ ‖deriv f y‖ ≤ C * ‖g y‖) ∧ y ∈ k := (tendsto_fst.uIcc tendsto_snd).eventually ((hd.and hC.bound).and hl).smallSets rcases mem_prod_self_iff.1 h with ⟨s, hsl, hs⟩ simp only [prod_subset_iff, mem_setOf_eq] at hs exact ⟨C, C₀, s, hsl, fun x hx y hy z hz => (hs x hx y hy z hz).2, fun x hx y hy z hz => (hs x hx y hy z hz).1.1, fun x hx y hy z hz => (hs x hx y hy z hz).1.2⟩ replace hgi : IntegrableOn (fun x ↦ C * ‖g x‖) k := by exact hgi.norm.smul C obtain ⟨c, hc, d, hd, hlt⟩ : ∃ c ∈ s, ∃ d ∈ s, (‖f c‖ + ∫ y in k, C * ‖g y‖) < ‖f d‖ := by rcases Filter.nonempty_of_mem hsl with ⟨c, hc⟩ have : ∀ᶠ x in l, (‖f c‖ + ∫ y in k, C * ‖g y‖) < ‖f x‖ := hf.eventually (eventually_gt_atTop _) exact ⟨c, hc, (this.and hsl).exists.imp fun d hd => ⟨hd.2, hd.1⟩⟩ specialize hsub c hc d hd; specialize hfd c hc d hd replace hg : ∀ x ∈ Ι c d, ‖deriv f x‖ ≤ C * ‖g x‖ := fun z hz => hg c hc d hd z ⟨hz.1.le, hz.2⟩ have hg_ae : ∀ᵐ x ∂volume.restrict (Ι c d), ‖deriv f x‖ ≤ C * ‖g x‖ := (ae_restrict_mem measurableSet_uIoc).mono hg have hsub' : Ι c d ⊆ k := Subset.trans Ioc_subset_Icc_self hsub have hfi : IntervalIntegrable (deriv f) volume c d := by rw [intervalIntegrable_iff] have : IntegrableOn (fun x ↦ C * ‖g x‖) (Ι c d) := IntegrableOn.mono hgi hsub' le_rfl exact Integrable.mono' this (aestronglyMeasurable_deriv _ _) hg_ae refine hlt.not_le (sub_le_iff_le_add'.1 ?_) calc ‖f d‖ - ‖f c‖ ≤ ‖f d - f c‖ := norm_sub_norm_le _ _ _ = ‖∫ x in c..d, deriv f x‖ := congr_arg _ (integral_deriv_eq_sub hfd hfi).symm _ = ‖∫ x in Ι c d, deriv f x‖ := norm_integral_eq_norm_integral_Ioc _ _ ≤ ∫ x in Ι c d, ‖deriv f x‖ := norm_integral_le_integral_norm _ _ ≤ ∫ x in Ι c d, C * ‖g x‖ := setIntegral_mono_on hfi.norm.def' (hgi.mono_set hsub') measurableSet_uIoc hg _ ≤ ∫ x in k, C * ‖g x‖ := by apply setIntegral_mono_set hgi (ae_of_all _ fun x => mul_nonneg hC₀ (norm_nonneg _)) hsub'.eventuallyLE
Mathlib/Analysis/SpecialFunctions/NonIntegrable.lean
98
121
theorem not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter {f : ℝ → E} {g : ℝ → F} {k : Set ℝ} (l : Filter ℝ) [NeBot l] [TendstoIxxClass Icc l l] (hl : k ∈ l) (hd : ∀ᶠ x in l, DifferentiableAt ℝ f x) (hf : Tendsto (fun x => ‖f x‖) l atTop) (hfg : deriv f =O[l] g) : ¬IntegrableOn g k := by
let a : E →ₗᵢ[ℝ] UniformSpace.Completion E := UniformSpace.Completion.toComplₗᵢ let f' := a ∘ f have h'd : ∀ᶠ x in l, DifferentiableAt ℝ f' x := by filter_upwards [hd] with x hx using a.toContinuousLinearMap.differentiableAt.comp x hx have h'f : Tendsto (fun x => ‖f' x‖) l atTop := hf.congr (fun x ↦ by simp [f']) have h'fg : deriv f' =O[l] g := by apply IsBigO.trans _ hfg rw [← isBigO_norm_norm] suffices (fun x ↦ ‖deriv f' x‖) =ᶠ[l] (fun x ↦ ‖deriv f x‖) by exact this.isBigO filter_upwards [hd] with x hx have : deriv f' x = a (deriv f x) := by rw [fderiv.comp_deriv x _ hx] · have : fderiv ℝ a (f x) = a.toContinuousLinearMap := a.toContinuousLinearMap.fderiv simp only [this] rfl · exact a.toContinuousLinearMap.differentiableAt simp only [this] simp exact not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter_aux l hl h'd h'f h'fg
false
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section DenselyOrdered variable [TopologicalSpace α] [LinearOrder α] [OrderTopology α] [DenselyOrdered α] {a b : α} {s : Set α}
Mathlib/Topology/Order/DenselyOrdered.lean
25
29
theorem closure_Ioi' {a : α} (h : (Ioi a).Nonempty) : closure (Ioi a) = Ici a := by
apply Subset.antisymm · exact closure_minimal Ioi_subset_Ici_self isClosed_Ici · rw [← diff_subset_closure_iff, Ici_diff_Ioi_same, singleton_subset_iff] exact isGLB_Ioi.mem_closure h
false
import Mathlib.MeasureTheory.Covering.DensityTheorem import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar #align_import measure_theory.covering.one_dim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open Set MeasureTheory IsUnifLocDoublingMeasure Filter open scoped Topology namespace Real
Mathlib/MeasureTheory/Covering/OneDim.lean
26
30
theorem Icc_mem_vitaliFamily_at_right {x y : ℝ} (hxy : x < y) : Icc x y ∈ (vitaliFamily (volume : Measure ℝ) 1).setsAt x := by
rw [Icc_eq_closedBall] refine closedBall_mem_vitaliFamily_of_dist_le_mul _ ?_ (by linarith) rw [dist_comm, Real.dist_eq, abs_of_nonneg] <;> linarith
false
import Mathlib.Init.Control.Combinators import Mathlib.Data.Option.Defs import Mathlib.Logic.IsEmpty import Mathlib.Logic.Relator import Mathlib.Util.CompileInductive import Aesop #align_import data.option.basic from "leanprover-community/mathlib"@"f340f229b1f461aa1c8ee11e0a172d0a3b301a4a" universe u namespace Option variable {α β γ δ : Type*} theorem coe_def : (fun a ↦ ↑a : α → Option α) = some := rfl #align option.coe_def Option.coe_def theorem mem_map {f : α → β} {y : β} {o : Option α} : y ∈ o.map f ↔ ∃ x ∈ o, f x = y := by simp #align option.mem_map Option.mem_map -- The simpNF linter says that the LHS can be simplified via `Option.mem_def`. -- However this is a higher priority lemma. -- https://github.com/leanprover/std4/issues/207 @[simp 1100, nolint simpNF] theorem mem_map_of_injective {f : α → β} (H : Function.Injective f) {a : α} {o : Option α} : f a ∈ o.map f ↔ a ∈ o := by aesop theorem forall_mem_map {f : α → β} {o : Option α} {p : β → Prop} : (∀ y ∈ o.map f, p y) ↔ ∀ x ∈ o, p (f x) := by simp #align option.forall_mem_map Option.forall_mem_map
Mathlib/Data/Option/Basic.lean
61
62
theorem exists_mem_map {f : α → β} {o : Option α} {p : β → Prop} : (∃ y ∈ o.map f, p y) ↔ ∃ x ∈ o, p (f x) := by
simp
false
import Mathlib.MeasureTheory.Measure.NullMeasurable import Mathlib.MeasureTheory.MeasurableSpace.Basic import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set open Filter hiding map open Function MeasurableSpace open scoped Classical symmDiff open Topology Filter ENNReal NNReal Interval MeasureTheory variable {α β γ δ ι R R' : Type*} namespace MeasureTheory section variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α} instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) := ⟨fun _s hs => let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs ⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩ #align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated
Mathlib/MeasureTheory/Measure/MeasureSpace.lean
107
109
theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} : (∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by
simp only [uIoc_eq_union, mem_union, or_imp, eventually_and]
false
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Factorial.DoubleFactorial #align_import ring_theory.polynomial.hermite.basic from "leanprover-community/mathlib"@"938d3db9c278f8a52c0f964a405806f0f2b09b74" noncomputable section open Polynomial namespace Polynomial noncomputable def hermite : ℕ → Polynomial ℤ | 0 => 1 | n + 1 => X * hermite n - derivative (hermite n) #align polynomial.hermite Polynomial.hermite @[simp] theorem hermite_succ (n : ℕ) : hermite (n + 1) = X * hermite n - derivative (hermite n) := by rw [hermite] #align polynomial.hermite_succ Polynomial.hermite_succ
Mathlib/RingTheory/Polynomial/Hermite/Basic.lean
59
62
theorem hermite_eq_iterate (n : ℕ) : hermite n = (fun p => X * p - derivative p)^[n] 1 := by
induction' n with n ih · rfl · rw [Function.iterate_succ_apply', ← ih, hermite_succ]
false
import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Combinatorics.SimpleGraph.Density import Mathlib.Data.Rat.BigOperators #align_import combinatorics.simple_graph.regularity.energy from "leanprover-community/mathlib"@"bf7ef0e83e5b7e6c1169e97f055e58a2e4e9d52d" open Finset variable {α : Type*} [DecidableEq α] {s : Finset α} (P : Finpartition s) (G : SimpleGraph α) [DecidableRel G.Adj] namespace Finpartition def energy : ℚ := ((∑ uv ∈ P.parts.offDiag, G.edgeDensity uv.1 uv.2 ^ 2) : ℚ) / (P.parts.card : ℚ) ^ 2 #align finpartition.energy Finpartition.energy
Mathlib/Combinatorics/SimpleGraph/Regularity/Energy.lean
42
43
theorem energy_nonneg : 0 ≤ P.energy G := by
exact div_nonneg (Finset.sum_nonneg fun _ _ => sq_nonneg _) <| sq_nonneg _
false
import Mathlib.MeasureTheory.Group.Arithmetic #align_import measure_theory.group.pointwise from "leanprover-community/mathlib"@"66f7114a1d5cba41c47d417a034bbb2e96cf564a" open Pointwise open Set @[to_additive] theorem MeasurableSet.const_smul {G α : Type*} [Group G] [MulAction G α] [MeasurableSpace G] [MeasurableSpace α] [MeasurableSMul G α] {s : Set α} (hs : MeasurableSet s) (a : G) : MeasurableSet (a • s) := by rw [← preimage_smul_inv] exact measurable_const_smul _ hs #align measurable_set.const_smul MeasurableSet.const_smul #align measurable_set.const_vadd MeasurableSet.const_vadd theorem MeasurableSet.const_smul_of_ne_zero {G₀ α : Type*} [GroupWithZero G₀] [MulAction G₀ α] [MeasurableSpace G₀] [MeasurableSpace α] [MeasurableSMul G₀ α] {s : Set α} (hs : MeasurableSet s) {a : G₀} (ha : a ≠ 0) : MeasurableSet (a • s) := by rw [← preimage_smul_inv₀ ha] exact measurable_const_smul _ hs #align measurable_set.const_smul_of_ne_zero MeasurableSet.const_smul_of_ne_zero
Mathlib/MeasureTheory/Group/Pointwise.lean
39
44
theorem MeasurableSet.const_smul₀ {G₀ α : Type*} [GroupWithZero G₀] [Zero α] [MulActionWithZero G₀ α] [MeasurableSpace G₀] [MeasurableSpace α] [MeasurableSMul G₀ α] [MeasurableSingletonClass α] {s : Set α} (hs : MeasurableSet s) (a : G₀) : MeasurableSet (a • s) := by
rcases eq_or_ne a 0 with (rfl | ha) exacts [(subsingleton_zero_smul_set s).measurableSet, hs.const_smul_of_ne_zero ha]
false
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]
Mathlib/Algebra/Polynomial/Reverse.lean
113
119
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 _ _ _
false
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} namespace ContinuousLinearMap variable {B : E →L[𝕜] F →L[𝕜] G} {u : 𝕜 → E} {v : 𝕜 → F} {u' : E} {v' : F}
Mathlib/Analysis/Calculus/Deriv/Mul.lean
52
56
theorem hasDerivWithinAt_of_bilinear (hu : HasDerivWithinAt u u' s x) (hv : HasDerivWithinAt v v' s x) : HasDerivWithinAt (fun x ↦ B (u x) (v x)) (B (u x) v' + B u' (v x)) s x := by
simpa using (B.hasFDerivWithinAt_of_bilinear hu.hasFDerivWithinAt hv.hasFDerivWithinAt).hasDerivWithinAt
false
import Mathlib.CategoryTheory.Filtered.Connected import Mathlib.CategoryTheory.Limits.TypesFiltered import Mathlib.CategoryTheory.Limits.Final universe v₁ v₂ u₁ u₂ namespace CategoryTheory open CategoryTheory.Limits CategoryTheory.Functor Opposite section ArbitraryUniverses variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D) theorem Functor.final_of_isFiltered_structuredArrow [∀ d, IsFiltered (StructuredArrow d F)] : Final F where out _ := IsFiltered.isConnected _ theorem Functor.initial_of_isCofiltered_costructuredArrow [∀ d, IsCofiltered (CostructuredArrow F d)] : Initial F where out _ := IsCofiltered.isConnected _ theorem isFiltered_structuredArrow_of_isFiltered_of_exists [IsFilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c), ∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) (d : D) : IsFiltered (StructuredArrow d F) := by have : Nonempty (StructuredArrow d F) := by obtain ⟨c, ⟨f⟩⟩ := h₁ d exact ⟨.mk f⟩ suffices IsFilteredOrEmpty (StructuredArrow d F) from IsFiltered.mk refine ⟨fun f g => ?_, fun f g η μ => ?_⟩ · obtain ⟨c, ⟨t, ht⟩⟩ := h₂ (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right)) (g.hom ≫ F.map (IsFiltered.rightToMax f.right g.right)) refine ⟨.mk (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right ≫ t)), ?_, ?_, trivial⟩ · exact StructuredArrow.homMk (IsFiltered.leftToMax _ _ ≫ t) rfl · exact StructuredArrow.homMk (IsFiltered.rightToMax _ _ ≫ t) (by simpa using ht.symm) · refine ⟨.mk (f.hom ≫ F.map (η.right ≫ IsFiltered.coeqHom η.right μ.right)), StructuredArrow.homMk (IsFiltered.coeqHom η.right μ.right) (by simp), ?_⟩ simpa using IsFiltered.coeq_condition _ _ theorem isCofiltered_costructuredArrow_of_isCofiltered_of_exists [IsCofilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d), ∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') (d : D) : IsCofiltered (CostructuredArrow F d) := by suffices IsFiltered (CostructuredArrow F d)ᵒᵖ from isCofiltered_of_isFiltered_op _ suffices IsFiltered (StructuredArrow (op d) F.op) from IsFiltered.of_equivalence (costructuredArrowOpEquivalence _ _).symm apply isFiltered_structuredArrow_of_isFiltered_of_exists · intro d obtain ⟨c, ⟨t⟩⟩ := h₁ d.unop exact ⟨op c, ⟨Quiver.Hom.op t⟩⟩ · intro d c s s' obtain ⟨c', t, ht⟩ := h₂ s.unop s'.unop exact ⟨op c', Quiver.Hom.op t, Quiver.Hom.unop_inj ht⟩ theorem Functor.final_of_exists_of_isFiltered [IsFilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c), ∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) : Functor.Final F := by suffices ∀ d, IsFiltered (StructuredArrow d F) from final_of_isFiltered_structuredArrow F exact isFiltered_structuredArrow_of_isFiltered_of_exists F h₁ h₂
Mathlib/CategoryTheory/Filtered/Final.lean
99
104
theorem Functor.initial_of_exists_of_isCofiltered [IsCofilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d), ∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') : Functor.Initial F := by
suffices ∀ d, IsCofiltered (CostructuredArrow F d) from initial_of_isCofiltered_costructuredArrow F exact isCofiltered_costructuredArrow_of_isCofiltered_of_exists F h₁ h₂
false
import Mathlib.Algebra.Lie.Submodule #align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d" universe u v w w₁ w₂ namespace LieSubmodule variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂] variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂) section LieIdealOperations instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) := ⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩ #align lie_submodule.has_bracket LieSubmodule.hasBracket theorem lieIdeal_oper_eq_span : ⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := rfl #align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span theorem lieIdeal_oper_eq_linear_span : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by apply le_antisymm · let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m } have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by intro y m' hm' refine Submodule.span_induction (R := R) (M := M) (s := s) (p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_ · rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie] refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span · use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n · use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩ · simp only [lie_zero, Submodule.zero_mem] · intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂ · intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm'' change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M) rw [lieIdeal_oper_eq_span, lieSpan_le] exact Submodule.subset_span · rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan #align lie_submodule.lie_ideal_oper_eq_linear_span LieSubmodule.lieIdeal_oper_eq_linear_span theorem lieIdeal_oper_eq_linear_span' : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ x ∈ I, ∃ n ∈ N, ⁅x, n⁆ = m } := by rw [lieIdeal_oper_eq_linear_span] congr ext m constructor · rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ exact ⟨x, hx, n, hn, rfl⟩ · rintro ⟨x, hx, n, hn, rfl⟩ exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ #align lie_submodule.lie_ideal_oper_eq_linear_span' LieSubmodule.lieIdeal_oper_eq_linear_span' theorem lie_le_iff : ⁅I, N⁆ ≤ N' ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅x, m⁆ ∈ N' := by rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le] refine ⟨fun h x hx m hm => h ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩ rintro h _ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩ exact h x hx m hm #align lie_submodule.lie_le_iff LieSubmodule.lie_le_iff
Mathlib/Algebra/Lie/IdealOperations.lean
103
104
theorem lie_coe_mem_lie (x : I) (m : N) : ⁅(x : L), (m : M)⁆ ∈ ⁅I, N⁆ := by
rw [lieIdeal_oper_eq_span]; apply subset_lieSpan; use x, m
false
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Laurent import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.RingTheory.Polynomial.Nilpotent #align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912" noncomputable section -- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with -- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)` universe u v w z open Finset Matrix Polynomial variable {R : Type u} [CommRing R] variable {n G : Type v} [DecidableEq n] [Fintype n] variable {α β : Type v} [DecidableEq α] variable {M : Matrix n n R} namespace Matrix theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) : (charmatrix M i j).natDegree = ite (i = j) 1 0 := by by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)] #align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree theorem charmatrix_apply_natDegree_le (i j : n) : (charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by split_ifs with h <;> simp [h, natDegree_X_le] #align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le variable (M) theorem charpoly_sub_diagonal_degree_lt : (M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)), sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm] simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one, Units.val_one, add_sub_cancel_right, Equiv.coe_refl] rw [← mem_degreeLT] apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1)) intro c hc; rw [← C_eq_intCast, C_mul'] apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c) rw [mem_degreeLT] apply lt_of_le_of_lt degree_le_natDegree _ rw [Nat.cast_lt] apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc)) apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _ rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum intros apply charmatrix_apply_natDegree_le #align matrix.charpoly_sub_diagonal_degree_lt Matrix.charpoly_sub_diagonal_degree_lt theorem charpoly_coeff_eq_prod_coeff_of_le {k : ℕ} (h : Fintype.card n - 1 ≤ k) : M.charpoly.coeff k = (∏ i : n, (X - C (M i i))).coeff k := by apply eq_of_sub_eq_zero; rw [← coeff_sub] apply Polynomial.coeff_eq_zero_of_degree_lt apply lt_of_lt_of_le (charpoly_sub_diagonal_degree_lt M) ?_ rw [Nat.cast_le]; apply h #align matrix.charpoly_coeff_eq_prod_coeff_of_le Matrix.charpoly_coeff_eq_prod_coeff_of_le
Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean
89
93
theorem det_of_card_zero (h : Fintype.card n = 0) (M : Matrix n n R) : M.det = 1 := by
rw [Fintype.card_eq_zero_iff] at h suffices M = 1 by simp [this] ext i exact h.elim i
false
import Mathlib.Data.Set.Pointwise.Interval import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.Order.Group #align_import topology.algebra.order.field from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Set Filter TopologicalSpace Function open scoped Pointwise Topology open OrderDual (toDual ofDual) theorem TopologicalRing.of_norm {R 𝕜 : Type*} [NonUnitalNonAssocRing R] [LinearOrderedField 𝕜] [TopologicalSpace R] [TopologicalAddGroup R] (norm : R → 𝕜) (norm_nonneg : ∀ x, 0 ≤ norm x) (norm_mul_le : ∀ x y, norm (x * y) ≤ norm x * norm y) (nhds_basis : (𝓝 (0 : R)).HasBasis ((0 : 𝕜) < ·) (fun ε ↦ { x | norm x < ε })) : TopologicalRing R := by have h0 : ∀ f : R → R, ∀ c ≥ (0 : 𝕜), (∀ x, norm (f x) ≤ c * norm x) → Tendsto f (𝓝 0) (𝓝 0) := by refine fun f c c0 hf ↦ (nhds_basis.tendsto_iff nhds_basis).2 fun ε ε0 ↦ ?_ rcases exists_pos_mul_lt ε0 c with ⟨δ, δ0, hδ⟩ refine ⟨δ, δ0, fun x hx ↦ (hf _).trans_lt ?_⟩ exact (mul_le_mul_of_nonneg_left (le_of_lt hx) c0).trans_lt hδ apply TopologicalRing.of_addGroup_of_nhds_zero case hmul => refine ((nhds_basis.prod nhds_basis).tendsto_iff nhds_basis).2 fun ε ε0 ↦ ?_ refine ⟨(1, ε), ⟨one_pos, ε0⟩, fun (x, y) ⟨hx, hy⟩ => ?_⟩ simp only [sub_zero] at * calc norm (x * y) ≤ norm x * norm y := norm_mul_le _ _ _ < ε := mul_lt_of_le_one_of_lt_of_nonneg hx.le hy (norm_nonneg _) case hmul_left => exact fun x => h0 _ (norm x) (norm_nonneg _) (norm_mul_le x) case hmul_right => exact fun y => h0 (· * y) (norm y) (norm_nonneg y) fun x => (norm_mul_le x y).trans_eq (mul_comm _ _) variable {𝕜 α : Type*} [LinearOrderedField 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] {l : Filter α} {f g : α → 𝕜} -- see Note [lower instance priority] instance (priority := 100) LinearOrderedField.topologicalRing : TopologicalRing 𝕜 := .of_norm abs abs_nonneg (fun _ _ ↦ (abs_mul _ _).le) <| by simpa using nhds_basis_abs_sub_lt (0 : 𝕜) theorem Filter.Tendsto.atTop_mul {C : 𝕜} (hC : 0 < C) (hf : Tendsto f l atTop) (hg : Tendsto g l (𝓝 C)) : Tendsto (fun x => f x * g x) l atTop := by refine tendsto_atTop_mono' _ ?_ (hf.atTop_mul_const (half_pos hC)) filter_upwards [hg.eventually (lt_mem_nhds (half_lt_self hC)), hf.eventually_ge_atTop 0] with x hg hf using mul_le_mul_of_nonneg_left hg.le hf #align filter.tendsto.at_top_mul Filter.Tendsto.atTop_mul
Mathlib/Topology/Algebra/Order/Field.lean
72
74
theorem Filter.Tendsto.mul_atTop {C : 𝕜} (hC : 0 < C) (hf : Tendsto f l (𝓝 C)) (hg : Tendsto g l atTop) : Tendsto (fun x => f x * g x) l atTop := by
simpa only [mul_comm] using hg.atTop_mul hC hf
false
import Mathlib.Algebra.Order.Field.Pi import Mathlib.Algebra.Order.UpperLower import Mathlib.Analysis.Normed.Group.Pointwise import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Data.Real.Sqrt import Mathlib.Topology.Algebra.Order.UpperLower import Mathlib.Topology.MetricSpace.Sequences #align_import analysis.normed.order.upper_lower from "leanprover-community/mathlib"@"b1abe23ae96fef89ad30d9f4362c307f72a55010" open Bornology Function Metric Set open scoped Pointwise variable {α ι : Type*} section Finite variable [Finite ι] {s : Set (ι → ℝ)} {x y : ι → ℝ}
Mathlib/Analysis/Normed/Order/UpperLower.lean
94
109
theorem IsUpperSet.mem_interior_of_forall_lt (hs : IsUpperSet s) (hx : x ∈ closure s) (h : ∀ i, x i < y i) : y ∈ interior s := by
cases nonempty_fintype ι obtain ⟨ε, hε, hxy⟩ := Pi.exists_forall_pos_add_lt h obtain ⟨z, hz, hxz⟩ := Metric.mem_closure_iff.1 hx _ hε rw [dist_pi_lt_iff hε] at hxz have hyz : ∀ i, z i < y i := by refine fun i => (hxy _).trans_le' (sub_le_iff_le_add'.1 <| (le_abs_self _).trans ?_) rw [← Real.norm_eq_abs, ← dist_eq_norm'] exact (hxz _).le obtain ⟨δ, hδ, hyz⟩ := Pi.exists_forall_pos_add_lt hyz refine mem_interior.2 ⟨ball y δ, ?_, isOpen_ball, mem_ball_self hδ⟩ rintro w hw refine hs (fun i => ?_) hz simp_rw [ball_pi _ hδ, Real.ball_eq_Ioo] at hw exact ((lt_sub_iff_add_lt.2 <| hyz _).trans (hw _ <| mem_univ _).1).le
false
import Mathlib.MeasureTheory.Integral.SetToL1 #align_import measure_theory.integral.bochner from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" assert_not_exists Differentiable noncomputable section open scoped Topology NNReal ENNReal MeasureTheory open Set Filter TopologicalSpace ENNReal EMetric namespace MeasureTheory variable {α E F 𝕜 : Type*} local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section PosPart variable [LinearOrder E] [Zero E] [MeasurableSpace α] def posPart (f : α →ₛ E) : α →ₛ E := f.map fun b => max b 0 #align measure_theory.simple_func.pos_part MeasureTheory.SimpleFunc.posPart def negPart [Neg E] (f : α →ₛ E) : α →ₛ E := posPart (-f) #align measure_theory.simple_func.neg_part MeasureTheory.SimpleFunc.negPart theorem posPart_map_norm (f : α →ₛ ℝ) : (posPart f).map norm = posPart f := by ext; rw [map_apply, Real.norm_eq_abs, abs_of_nonneg]; exact le_max_right _ _ #align measure_theory.simple_func.pos_part_map_norm MeasureTheory.SimpleFunc.posPart_map_norm theorem negPart_map_norm (f : α →ₛ ℝ) : (negPart f).map norm = negPart f := by rw [negPart]; exact posPart_map_norm _ #align measure_theory.simple_func.neg_part_map_norm MeasureTheory.SimpleFunc.negPart_map_norm
Mathlib/MeasureTheory/Integral/Bochner.lean
282
286
theorem posPart_sub_negPart (f : α →ₛ ℝ) : f.posPart - f.negPart = f := by
simp only [posPart, negPart] ext a rw [coe_sub] exact max_zero_sub_eq_self (f a)
false
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Data.ENat.Basic #align_import data.polynomial.degree.trailing_degree from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836" noncomputable section open Function Polynomial Finsupp Finset open scoped Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} def trailingDegree (p : R[X]) : ℕ∞ := p.support.min #align polynomial.trailing_degree Polynomial.trailingDegree theorem trailingDegree_lt_wf : WellFounded fun p q : R[X] => trailingDegree p < trailingDegree q := InvImage.wf trailingDegree wellFounded_lt #align polynomial.trailing_degree_lt_wf Polynomial.trailingDegree_lt_wf def natTrailingDegree (p : R[X]) : ℕ := (trailingDegree p).getD 0 #align polynomial.nat_trailing_degree Polynomial.natTrailingDegree def trailingCoeff (p : R[X]) : R := coeff p (natTrailingDegree p) #align polynomial.trailing_coeff Polynomial.trailingCoeff def TrailingMonic (p : R[X]) := trailingCoeff p = (1 : R) #align polynomial.trailing_monic Polynomial.TrailingMonic theorem TrailingMonic.def : TrailingMonic p ↔ trailingCoeff p = 1 := Iff.rfl #align polynomial.trailing_monic.def Polynomial.TrailingMonic.def instance TrailingMonic.decidable [DecidableEq R] : Decidable (TrailingMonic p) := inferInstanceAs <| Decidable (trailingCoeff p = (1 : R)) #align polynomial.trailing_monic.decidable Polynomial.TrailingMonic.decidable @[simp] theorem TrailingMonic.trailingCoeff {p : R[X]} (hp : p.TrailingMonic) : trailingCoeff p = 1 := hp #align polynomial.trailing_monic.trailing_coeff Polynomial.TrailingMonic.trailingCoeff @[simp] theorem trailingDegree_zero : trailingDegree (0 : R[X]) = ⊤ := rfl #align polynomial.trailing_degree_zero Polynomial.trailingDegree_zero @[simp] theorem trailingCoeff_zero : trailingCoeff (0 : R[X]) = 0 := rfl #align polynomial.trailing_coeff_zero Polynomial.trailingCoeff_zero @[simp] theorem natTrailingDegree_zero : natTrailingDegree (0 : R[X]) = 0 := rfl #align polynomial.nat_trailing_degree_zero Polynomial.natTrailingDegree_zero theorem trailingDegree_eq_top : trailingDegree p = ⊤ ↔ p = 0 := ⟨fun h => support_eq_empty.1 (Finset.min_eq_top.1 h), fun h => by simp [h]⟩ #align polynomial.trailing_degree_eq_top Polynomial.trailingDegree_eq_top theorem trailingDegree_eq_natTrailingDegree (hp : p ≠ 0) : trailingDegree p = (natTrailingDegree p : ℕ∞) := by let ⟨n, hn⟩ := not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt trailingDegree_eq_top.1 hp)) have hn : trailingDegree p = n := Classical.not_not.1 hn rw [natTrailingDegree, hn] rfl #align polynomial.trailing_degree_eq_nat_trailing_degree Polynomial.trailingDegree_eq_natTrailingDegree theorem trailingDegree_eq_iff_natTrailingDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) : p.trailingDegree = n ↔ p.natTrailingDegree = n := by rw [trailingDegree_eq_natTrailingDegree hp] exact WithTop.coe_eq_coe #align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq theorem trailingDegree_eq_iff_natTrailingDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) : p.trailingDegree = n ↔ p.natTrailingDegree = n := by constructor · intro H rwa [← trailingDegree_eq_iff_natTrailingDegree_eq] rintro rfl rw [trailingDegree_zero] at H exact Option.noConfusion H · intro H rwa [trailingDegree_eq_iff_natTrailingDegree_eq] rintro rfl rw [natTrailingDegree_zero] at H rw [H] at hn exact lt_irrefl _ hn #align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq_of_pos Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq_of_pos theorem natTrailingDegree_eq_of_trailingDegree_eq_some {p : R[X]} {n : ℕ} (h : trailingDegree p = n) : natTrailingDegree p = n := have hp0 : p ≠ 0 := fun hp0 => by rw [hp0] at h; exact Option.noConfusion h Option.some_inj.1 <| show (natTrailingDegree p : ℕ∞) = n by rwa [← trailingDegree_eq_natTrailingDegree hp0] #align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq_some Polynomial.natTrailingDegree_eq_of_trailingDegree_eq_some @[simp] theorem natTrailingDegree_le_trailingDegree : ↑(natTrailingDegree p) ≤ trailingDegree p := by by_cases hp : p = 0; · rw [hp, trailingDegree_zero] exact le_top rw [trailingDegree_eq_natTrailingDegree hp] #align polynomial.nat_trailing_degree_le_trailing_degree Polynomial.natTrailingDegree_le_trailingDegree theorem natTrailingDegree_eq_of_trailingDegree_eq [Semiring S] {q : S[X]} (h : trailingDegree p = trailingDegree q) : natTrailingDegree p = natTrailingDegree q := by unfold natTrailingDegree rw [h] #align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq Polynomial.natTrailingDegree_eq_of_trailingDegree_eq theorem trailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : trailingDegree p ≤ n := show @LE.le ℕ∞ _ p.support.min n from min_le (mem_support_iff.2 h) #align polynomial.le_trailing_degree_of_ne_zero Polynomial.trailingDegree_le_of_ne_zero
Mathlib/Algebra/Polynomial/Degree/TrailingDegree.lean
158
164
theorem natTrailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : natTrailingDegree p ≤ n := by
have : WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) := rfl rw [← WithTop.coe_le_coe, this, ← trailingDegree_eq_natTrailingDegree] · exact trailingDegree_le_of_ne_zero h · intro h subst h exact h rfl
false
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Ring.Nat import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.OrderOfElement import Mathlib.RingTheory.Fintype import Mathlib.Tactic.IntervalCases #align_import number_theory.lucas_lehmer from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" def mersenne (p : ℕ) : ℕ := 2 ^ p - 1 #align mersenne mersenne theorem strictMono_mersenne : StrictMono mersenne := fun m n h ↦ (Nat.sub_lt_sub_iff_right <| Nat.one_le_pow _ _ two_pos).2 <| by gcongr; norm_num1 @[simp] theorem mersenne_lt_mersenne {p q : ℕ} : mersenne p < mersenne q ↔ p < q := strictMono_mersenne.lt_iff_lt @[gcongr] protected alias ⟨_, GCongr.mersenne_lt_mersenne⟩ := mersenne_lt_mersenne @[simp] theorem mersenne_le_mersenne {p q : ℕ} : mersenne p ≤ mersenne q ↔ p ≤ q := strictMono_mersenne.le_iff_le @[gcongr] protected alias ⟨_, GCongr.mersenne_le_mersenne⟩ := mersenne_le_mersenne @[simp] theorem mersenne_zero : mersenne 0 = 0 := rfl @[simp] theorem mersenne_pos {p : ℕ} : 0 < mersenne p ↔ 0 < p := mersenne_lt_mersenne (p := 0) #align mersenne_pos mersenne_pos @[simp] theorem one_lt_mersenne {p : ℕ} : 1 < mersenne p ↔ 1 < p := mersenne_lt_mersenne (p := 1) @[simp] theorem succ_mersenne (k : ℕ) : mersenne k + 1 = 2 ^ k := by rw [mersenne, tsub_add_cancel_of_le] exact one_le_pow_of_one_le (by norm_num) k #align succ_mersenne succ_mersenne namespace LucasLehmer open Nat def s : ℕ → ℤ | 0 => 4 | i + 1 => s i ^ 2 - 2 #align lucas_lehmer.s LucasLehmer.s def sZMod (p : ℕ) : ℕ → ZMod (2 ^ p - 1) | 0 => 4 | i + 1 => sZMod p i ^ 2 - 2 #align lucas_lehmer.s_zmod LucasLehmer.sZMod def sMod (p : ℕ) : ℕ → ℤ | 0 => 4 % (2 ^ p - 1) | i + 1 => (sMod p i ^ 2 - 2) % (2 ^ p - 1) #align lucas_lehmer.s_mod LucasLehmer.sMod theorem mersenne_int_pos {p : ℕ} (hp : p ≠ 0) : (0 : ℤ) < 2 ^ p - 1 := sub_pos.2 <| mod_cast Nat.one_lt_two_pow hp theorem mersenne_int_ne_zero (p : ℕ) (hp : p ≠ 0) : (2 ^ p - 1 : ℤ) ≠ 0 := (mersenne_int_pos hp).ne' #align lucas_lehmer.mersenne_int_ne_zero LucasLehmer.mersenne_int_ne_zero theorem sMod_nonneg (p : ℕ) (hp : p ≠ 0) (i : ℕ) : 0 ≤ sMod p i := by cases i <;> dsimp [sMod] · exact sup_eq_right.mp rfl · apply Int.emod_nonneg exact mersenne_int_ne_zero p hp #align lucas_lehmer.s_mod_nonneg LucasLehmer.sMod_nonneg theorem sMod_mod (p i : ℕ) : sMod p i % (2 ^ p - 1) = sMod p i := by cases i <;> simp [sMod] #align lucas_lehmer.s_mod_mod LucasLehmer.sMod_mod theorem sMod_lt (p : ℕ) (hp : p ≠ 0) (i : ℕ) : sMod p i < 2 ^ p - 1 := by rw [← sMod_mod] refine (Int.emod_lt _ (mersenne_int_ne_zero p hp)).trans_eq ?_ exact abs_of_nonneg (mersenne_int_pos hp).le #align lucas_lehmer.s_mod_lt LucasLehmer.sMod_lt
Mathlib/NumberTheory/LucasLehmer.lean
154
158
theorem sZMod_eq_s (p' : ℕ) (i : ℕ) : sZMod (p' + 2) i = (s i : ZMod (2 ^ (p' + 2) - 1)) := by
induction' i with i ih · dsimp [s, sZMod] norm_num · push_cast [s, sZMod, ih]; rfl
false
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'
Mathlib/Topology/Order/Monotone.lean
58
62
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
false
import Mathlib.CategoryTheory.Closed.Cartesian import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import category_theory.closed.functor from "leanprover-community/mathlib"@"cea27692b3fdeb328a2ddba6aabf181754543184" noncomputable section namespace CategoryTheory open Category Limits CartesianClosed universe v u u' variable {C : Type u} [Category.{v} C] variable {D : Type u'} [Category.{v} D] variable [HasFiniteProducts C] [HasFiniteProducts D] variable (F : C ⥤ D) {L : D ⥤ C} def frobeniusMorphism (h : L ⊣ F) (A : C) : prod.functor.obj (F.obj A) ⋙ L ⟶ L ⋙ prod.functor.obj A := prodComparisonNatTrans L (F.obj A) ≫ whiskerLeft _ (prod.functor.map (h.counit.app _)) #align category_theory.frobenius_morphism CategoryTheory.frobeniusMorphism instance frobeniusMorphism_iso_of_preserves_binary_products (h : L ⊣ F) (A : C) [PreservesLimitsOfShape (Discrete WalkingPair) L] [F.Full] [F.Faithful] : IsIso (frobeniusMorphism F h A) := suffices ∀ (X : D), IsIso ((frobeniusMorphism F h A).app X) from NatIso.isIso_of_isIso_app _ fun B ↦ by dsimp [frobeniusMorphism]; infer_instance #align category_theory.frobenius_morphism_iso_of_preserves_binary_products CategoryTheory.frobeniusMorphism_iso_of_preserves_binary_products variable [CartesianClosed C] [CartesianClosed D] variable [PreservesLimitsOfShape (Discrete WalkingPair) F] def expComparison (A : C) : exp A ⋙ F ⟶ F ⋙ exp (F.obj A) := transferNatTrans (exp.adjunction A) (exp.adjunction (F.obj A)) (prodComparisonNatIso F A).inv #align category_theory.exp_comparison CategoryTheory.expComparison theorem expComparison_ev (A B : C) : Limits.prod.map (𝟙 (F.obj A)) ((expComparison F A).app B) ≫ (exp.ev (F.obj A)).app (F.obj B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by convert transferNatTrans_counit _ _ (prodComparisonNatIso F A).inv B using 2 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` simp only [Limits.prodComparisonNatIso_inv, asIso_inv, NatIso.isIso_inv_app, IsIso.hom_inv_id] #align category_theory.exp_comparison_ev CategoryTheory.expComparison_ev
Mathlib/CategoryTheory/Closed/Functor.lean
91
97
theorem coev_expComparison (A B : C) : F.map ((exp.coev A).app B) ≫ (expComparison F A).app (A ⨯ B) = (exp.coev _).app (F.obj B) ≫ (exp (F.obj A)).map (inv (prodComparison F A B)) := by
convert unit_transferNatTrans _ _ (prodComparisonNatIso F A).inv B using 3 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` dsimp simp
false
import Mathlib.Topology.PartialHomeomorph import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Data.Real.Sqrt #align_import analysis.normed_space.basic from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Set Metric Pointwise variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℝ E] noncomputable section @[simps (config := .lemmasOnly)] def PartialHomeomorph.univUnitBall : PartialHomeomorph E E where toFun x := (√(1 + ‖x‖ ^ 2))⁻¹ • x invFun y := (√(1 - ‖(y : E)‖ ^ 2))⁻¹ • (y : E) source := univ target := ball 0 1 map_source' x _ := by have : 0 < 1 + ‖x‖ ^ 2 := by positivity rw [mem_ball_zero_iff, norm_smul, Real.norm_eq_abs, abs_inv, ← _root_.div_eq_inv_mul, div_lt_one (abs_pos.mpr <| Real.sqrt_ne_zero'.mpr this), ← abs_norm x, ← sq_lt_sq, abs_norm, Real.sq_sqrt this.le] exact lt_one_add _ map_target' _ _ := trivial left_inv' x _ := by field_simp [norm_smul, smul_smul, (zero_lt_one_add_norm_sq x).ne', sq_abs, Real.sq_sqrt (zero_lt_one_add_norm_sq x).le, ← Real.sqrt_div (zero_lt_one_add_norm_sq x).le] right_inv' y hy := by have : 0 < 1 - ‖y‖ ^ 2 := by nlinarith [norm_nonneg y, mem_ball_zero_iff.1 hy] field_simp [norm_smul, smul_smul, this.ne', sq_abs, Real.sq_sqrt this.le, ← Real.sqrt_div this.le] open_source := isOpen_univ open_target := isOpen_ball continuousOn_toFun := by suffices Continuous fun (x:E) => (√(1 + ‖x‖ ^ 2))⁻¹ from (this.smul continuous_id).continuousOn refine Continuous.inv₀ ?_ fun x => Real.sqrt_ne_zero'.mpr (by positivity) continuity continuousOn_invFun := by have : ∀ y ∈ ball (0 : E) 1, √(1 - ‖(y : E)‖ ^ 2) ≠ 0 := fun y hy ↦ by rw [Real.sqrt_ne_zero'] nlinarith [norm_nonneg y, mem_ball_zero_iff.1 hy] exact ContinuousOn.smul (ContinuousOn.inv₀ (continuousOn_const.sub (continuous_norm.continuousOn.pow _)).sqrt this) continuousOn_id @[simp] theorem PartialHomeomorph.univUnitBall_apply_zero : univUnitBall (0 : E) = 0 := by simp [PartialHomeomorph.univUnitBall_apply] @[simp] theorem PartialHomeomorph.univUnitBall_symm_apply_zero : univUnitBall.symm (0 : E) = 0 := by simp [PartialHomeomorph.univUnitBall_symm_apply] @[simps! (config := .lemmasOnly)] def Homeomorph.unitBall : E ≃ₜ ball (0 : E) 1 := (Homeomorph.Set.univ _).symm.trans PartialHomeomorph.univUnitBall.toHomeomorphSourceTarget #align homeomorph_unit_ball Homeomorph.unitBall @[simp] theorem Homeomorph.coe_unitBall_apply_zero : (Homeomorph.unitBall (0 : E) : E) = 0 := PartialHomeomorph.univUnitBall_apply_zero #align coe_homeomorph_unit_ball_apply_zero Homeomorph.coe_unitBall_apply_zero variable {P : Type*} [PseudoMetricSpace P] [NormedAddTorsor E P] namespace PartialHomeomorph @[simps!] def unitBallBall (c : P) (r : ℝ) (hr : 0 < r) : PartialHomeomorph E P := ((Homeomorph.smulOfNeZero r hr.ne').trans (IsometryEquiv.vaddConst c).toHomeomorph).toPartialHomeomorphOfImageEq (ball 0 1) isOpen_ball (ball c r) <| by change (IsometryEquiv.vaddConst c) ∘ (r • ·) '' ball (0 : E) 1 = ball c r rw [image_comp, image_smul, smul_unitBall hr.ne', IsometryEquiv.image_ball] simp [abs_of_pos hr] def univBall (c : P) (r : ℝ) : PartialHomeomorph E P := if h : 0 < r then univUnitBall.trans' (unitBallBall c r h) rfl else (IsometryEquiv.vaddConst c).toHomeomorph.toPartialHomeomorph @[simp] theorem univBall_source (c : P) (r : ℝ) : (univBall c r).source = univ := by unfold univBall; split_ifs <;> rfl theorem univBall_target (c : P) {r : ℝ} (hr : 0 < r) : (univBall c r).target = ball c r := by rw [univBall, dif_pos hr]; rfl theorem ball_subset_univBall_target (c : P) (r : ℝ) : ball c r ⊆ (univBall c r).target := by by_cases hr : 0 < r · rw [univBall_target c hr] · rw [univBall, dif_neg hr] exact subset_univ _ @[simp]
Mathlib/Analysis/NormedSpace/HomeomorphBall.lean
140
141
theorem univBall_apply_zero (c : P) (r : ℝ) : univBall c r 0 = c := by
unfold univBall; split_ifs <;> simp
false
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
Mathlib/NumberTheory/Liouville/Residual.lean
25
31
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]
false
import Mathlib.Data.Matrix.Invertible import Mathlib.LinearAlgebra.Matrix.Adjugate import Mathlib.LinearAlgebra.FiniteDimensional #align_import linear_algebra.matrix.nonsingular_inverse from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422" namespace Matrix universe u u' v variable {l : Type*} {m : Type u} {n : Type u'} {α : Type v} open Matrix Equiv Equiv.Perm Finset section Inv variable [Fintype n] [DecidableEq n] [CommRing α] variable (A : Matrix n n α) (B : Matrix n n α) theorem isUnit_det_transpose (h : IsUnit A.det) : IsUnit Aᵀ.det := by rw [det_transpose] exact h #align matrix.is_unit_det_transpose Matrix.isUnit_det_transpose noncomputable instance inv : Inv (Matrix n n α) := ⟨fun A => Ring.inverse A.det • A.adjugate⟩ theorem inv_def (A : Matrix n n α) : A⁻¹ = Ring.inverse A.det • A.adjugate := rfl #align matrix.inv_def Matrix.inv_def
Mathlib/LinearAlgebra/Matrix/NonsingularInverse.lean
221
222
theorem nonsing_inv_apply_not_isUnit (h : ¬IsUnit A.det) : A⁻¹ = 0 := by
rw [inv_def, Ring.inverse_non_unit _ h, zero_smul]
false
import Mathlib.Data.Set.Function import Mathlib.Logic.Relation import Mathlib.Logic.Pairwise #align_import data.set.pairwise.basic from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d" open Function Order Set variable {α β γ ι ι' : Type*} {r p q : α → α → Prop} section Pairwise variable {f g : ι → α} {s t u : Set α} {a b : α} theorem pairwise_on_bool (hr : Symmetric r) {a b : α} : Pairwise (r on fun c => cond c a b) ↔ r a b := by simpa [Pairwise, Function.onFun] using @hr a b #align pairwise_on_bool pairwise_on_bool theorem pairwise_disjoint_on_bool [SemilatticeInf α] [OrderBot α] {a b : α} : Pairwise (Disjoint on fun c => cond c a b) ↔ Disjoint a b := pairwise_on_bool Disjoint.symm #align pairwise_disjoint_on_bool pairwise_disjoint_on_bool theorem Symmetric.pairwise_on [LinearOrder ι] (hr : Symmetric r) (f : ι → α) : Pairwise (r on f) ↔ ∀ ⦃m n⦄, m < n → r (f m) (f n) := ⟨fun h _m _n hmn => h hmn.ne, fun h _m _n hmn => hmn.lt_or_lt.elim (@h _ _) fun h' => hr (h h')⟩ #align symmetric.pairwise_on Symmetric.pairwise_on theorem pairwise_disjoint_on [SemilatticeInf α] [OrderBot α] [LinearOrder ι] (f : ι → α) : Pairwise (Disjoint on f) ↔ ∀ ⦃m n⦄, m < n → Disjoint (f m) (f n) := Symmetric.pairwise_on Disjoint.symm f #align pairwise_disjoint_on pairwise_disjoint_on theorem pairwise_disjoint_mono [SemilatticeInf α] [OrderBot α] (hs : Pairwise (Disjoint on f)) (h : g ≤ f) : Pairwise (Disjoint on g) := hs.mono fun i j hij => Disjoint.mono (h i) (h j) hij #align pairwise_disjoint.mono pairwise_disjoint_mono
Mathlib/Data/Set/Pairwise/Basic.lean
234
236
theorem pairwise_subtype_iff_pairwise_set (s : Set α) (r : α → α → Prop) : (Pairwise fun (x : s) (y : s) => r x y) ↔ s.Pairwise r := by
simp only [Pairwise, Set.Pairwise, SetCoe.forall, Ne, Subtype.ext_iff, Subtype.coe_mk]
false
import Mathlib.Data.Matrix.Basis import Mathlib.Data.Matrix.DMatrix import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.Tactic.FieldSimp #align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6" universe u₁ u₂ namespace Matrix open Matrix variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜] variable [DecidableEq n] [DecidableEq p] variable [CommRing R] section Transvection variable {R n} (i j : n) def transvection (c : R) : Matrix n n R := 1 + Matrix.stdBasisMatrix i j c #align matrix.transvection Matrix.transvection @[simp] theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection] #align matrix.transvection_zero Matrix.transvection_zero section theorem updateRow_eq_transvection [Finite n] (c : R) : updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) = transvection i j c := by cases nonempty_fintype n ext a b by_cases ha : i = a · by_cases hb : j = b · simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same, one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply] · simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply, Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul, mul_zero, add_apply] · simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero, Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply, mul_zero, false_and_iff, add_apply] #align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection variable [Fintype n] theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) : transvection i j c * transvection i j d = transvection i j (c + d) := by simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc, stdBasisMatrix_add] #align matrix.transvection_mul_transvection_same Matrix.transvection_mul_transvection_same @[simp] theorem transvection_mul_apply_same (b : n) (c : R) (M : Matrix n n R) : (transvection i j c * M) i b = M i b + c * M j b := by simp [transvection, Matrix.add_mul] #align matrix.transvection_mul_apply_same Matrix.transvection_mul_apply_same @[simp] theorem mul_transvection_apply_same (a : n) (c : R) (M : Matrix n n R) : (M * transvection i j c) a j = M a j + c * M a i := by simp [transvection, Matrix.mul_add, mul_comm] #align matrix.mul_transvection_apply_same Matrix.mul_transvection_apply_same @[simp] theorem transvection_mul_apply_of_ne (a b : n) (ha : a ≠ i) (c : R) (M : Matrix n n R) : (transvection i j c * M) a b = M a b := by simp [transvection, Matrix.add_mul, ha] #align matrix.transvection_mul_apply_of_ne Matrix.transvection_mul_apply_of_ne @[simp] theorem mul_transvection_apply_of_ne (a b : n) (hb : b ≠ j) (c : R) (M : Matrix n n R) : (M * transvection i j c) a b = M a b := by simp [transvection, Matrix.mul_add, hb] #align matrix.mul_transvection_apply_of_ne Matrix.mul_transvection_apply_of_ne @[simp] theorem det_transvection_of_ne (h : i ≠ j) (c : R) : det (transvection i j c) = 1 := by rw [← updateRow_eq_transvection i j, det_updateRow_add_smul_self _ h, det_one] #align matrix.det_transvection_of_ne Matrix.det_transvection_of_ne end variable (R n) -- porting note (#5171): removed @[nolint has_nonempty_instance] structure TransvectionStruct where (i j : n) hij : i ≠ j c : R #align matrix.transvection_struct Matrix.TransvectionStruct instance [Nontrivial n] : Nonempty (TransvectionStruct n R) := by choose x y hxy using exists_pair_ne n exact ⟨⟨x, y, hxy, 0⟩⟩ namespace Pivot variable {R} {r : ℕ} (M : Matrix (Sum (Fin r) Unit) (Sum (Fin r) Unit) 𝕜) open Sum Unit Fin TransvectionStruct def listTransvecCol : List (Matrix (Sum (Fin r) Unit) (Sum (Fin r) Unit) 𝕜) := List.ofFn fun i : Fin r => transvection (inl i) (inr unit) <| -M (inl i) (inr unit) / M (inr unit) (inr unit) #align matrix.pivot.list_transvec_col Matrix.Pivot.listTransvecCol def listTransvecRow : List (Matrix (Sum (Fin r) Unit) (Sum (Fin r) Unit) 𝕜) := List.ofFn fun i : Fin r => transvection (inr unit) (inl i) <| -M (inr unit) (inl i) / M (inr unit) (inr unit) #align matrix.pivot.list_transvec_row Matrix.Pivot.listTransvecRow
Mathlib/LinearAlgebra/Matrix/Transvection.lean
371
380
theorem listTransvecCol_mul_last_row_drop (i : Sum (Fin r) Unit) {k : ℕ} (hk : k ≤ r) : (((listTransvecCol M).drop k).prod * M) (inr unit) i = M (inr unit) i := by
-- Porting note: `apply` didn't work anymore, because of the implicit arguments refine Nat.decreasingInduction' ?_ hk ?_ · intro n hn _ IH have hn' : n < (listTransvecCol M).length := by simpa [listTransvecCol] using hn rw [List.drop_eq_get_cons hn'] simpa [listTransvecCol, Matrix.mul_assoc] · simp only [listTransvecCol, List.length_ofFn, le_refl, List.drop_eq_nil_of_le, List.prod_nil, Matrix.one_mul]
false
import Batteries.Tactic.SeqFocus import Batteries.Data.List.Lemmas import Batteries.Data.List.Init.Attach namespace Std.Range def numElems (r : Range) : Nat := if r.step = 0 then -- This is a very weird choice, but it is chosen to coincide with the `forIn` impl if r.stop ≤ r.start then 0 else r.stop else (r.stop - r.start + r.step - 1) / r.step theorem numElems_stop_le_start : ∀ r : Range, r.stop ≤ r.start → r.numElems = 0 | ⟨start, stop, step⟩, h => by simp [numElems]; split <;> simp_all apply Nat.div_eq_of_lt; simp [Nat.sub_eq_zero_of_le h] exact Nat.pred_lt ‹_› theorem numElems_step_1 (start stop) : numElems ⟨start, stop, 1⟩ = stop - start := by simp [numElems] private theorem numElems_le_iff {start stop step i} (hstep : 0 < step) : (stop - start + step - 1) / step ≤ i ↔ stop ≤ start + step * i := calc (stop - start + step - 1) / step ≤ i _ ↔ stop - start + step - 1 < step * i + step := by rw [← Nat.lt_succ (n := i), Nat.div_lt_iff_lt_mul hstep, Nat.mul_comm, ← Nat.mul_succ] _ ↔ stop - start + step - 1 < step * i + 1 + (step - 1) := by rw [Nat.add_right_comm, Nat.add_assoc, Nat.sub_add_cancel hstep] _ ↔ stop ≤ start + step * i := by rw [Nat.add_sub_assoc hstep, Nat.add_lt_add_iff_right, Nat.lt_succ, Nat.sub_le_iff_le_add']
.lake/packages/batteries/Batteries/Data/Range/Lemmas.lean
40
47
theorem mem_range'_elems (r : Range) (h : x ∈ List.range' r.start r.numElems r.step) : x ∈ r := by
obtain ⟨i, h', rfl⟩ := List.mem_range'.1 h refine ⟨Nat.le_add_right .., ?_⟩ unfold numElems at h'; split at h' · split at h' <;> [cases h'; simp_all] · next step0 => refine Nat.not_le.1 fun h => Nat.not_le.2 h' <| (numElems_le_iff (Nat.pos_of_ne_zero step0)).2 h
false
import Mathlib.Algebra.Group.Indicator import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.Field.Rat import Mathlib.GroupTheory.GroupAction.Group import Mathlib.GroupTheory.GroupAction.Pi #align_import algebra.module.basic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e" open Function Set universe u v variable {α R M M₂ : Type*} @[deprecated (since := "2024-04-17")] alias map_nat_cast_smul := map_natCast_smul theorem map_inv_natCast_smul [AddCommMonoid M] [AddCommMonoid M₂] {F : Type*} [FunLike F M M₂] [AddMonoidHomClass F M M₂] (f : F) (R S : Type*) [DivisionSemiring R] [DivisionSemiring S] [Module R M] [Module S M₂] (n : ℕ) (x : M) : f ((n⁻¹ : R) • x) = (n⁻¹ : S) • f x := by by_cases hR : (n : R) = 0 <;> by_cases hS : (n : S) = 0 · simp [hR, hS, map_zero f] · suffices ∀ y, f y = 0 by rw [this, this, smul_zero] clear x intro x rw [← inv_smul_smul₀ hS (f x), ← map_natCast_smul f R S] simp [hR, map_zero f] · suffices ∀ y, f y = 0 by simp [this] clear x intro x rw [← smul_inv_smul₀ hR x, map_natCast_smul f R S, hS, zero_smul] · rw [← inv_smul_smul₀ hS (f _), ← map_natCast_smul f R S, smul_inv_smul₀ hR] #align map_inv_nat_cast_smul map_inv_natCast_smul @[deprecated (since := "2024-04-17")] alias map_inv_nat_cast_smul := map_inv_natCast_smul theorem map_inv_intCast_smul [AddCommGroup M] [AddCommGroup M₂] {F : Type*} [FunLike F M M₂] [AddMonoidHomClass F M M₂] (f : F) (R S : Type*) [DivisionRing R] [DivisionRing S] [Module R M] [Module S M₂] (z : ℤ) (x : M) : f ((z⁻¹ : R) • x) = (z⁻¹ : S) • f x := by obtain ⟨n, rfl | rfl⟩ := z.eq_nat_or_neg · rw [Int.cast_natCast, Int.cast_natCast, map_inv_natCast_smul _ R S] · simp_rw [Int.cast_neg, Int.cast_natCast, inv_neg, neg_smul, map_neg, map_inv_natCast_smul _ R S] #align map_inv_int_cast_smul map_inv_intCast_smul @[deprecated (since := "2024-04-17")] alias map_inv_int_cast_smul := map_inv_intCast_smul
Mathlib/Algebra/Module/Basic.lean
61
66
theorem map_ratCast_smul [AddCommGroup M] [AddCommGroup M₂] {F : Type*} [FunLike F M M₂] [AddMonoidHomClass F M M₂] (f : F) (R S : Type*) [DivisionRing R] [DivisionRing S] [Module R M] [Module S M₂] (c : ℚ) (x : M) : f ((c : R) • x) = (c : S) • f x := by
rw [Rat.cast_def, Rat.cast_def, div_eq_mul_inv, div_eq_mul_inv, mul_smul, mul_smul, map_intCast_smul f R S, map_inv_natCast_smul f R S]
false
import Mathlib.Algebra.Homology.Linear import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex import Mathlib.Tactic.Abel #align_import algebra.homology.homotopy from "leanprover-community/mathlib"@"618ea3d5c99240cd7000d8376924906a148bf9ff" universe v u open scoped Classical noncomputable section open CategoryTheory Category Limits HomologicalComplex variable {ι : Type*} variable {V : Type u} [Category.{v} V] [Preadditive V] variable {c : ComplexShape ι} {C D E : HomologicalComplex V c} variable (f g : C ⟶ D) (h k : D ⟶ E) (i : ι) section def dNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X i ⟶ D.X i) := AddMonoidHom.mk' (fun f => C.d i (c.next i) ≫ f (c.next i) i) fun _ _ => Preadditive.comp_add _ _ _ _ _ _ #align d_next dNext def fromNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.xNext i ⟶ D.X i) := AddMonoidHom.mk' (fun f => f (c.next i) i) fun _ _ => rfl #align from_next fromNext @[simp] theorem dNext_eq_dFrom_fromNext (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) : dNext i f = C.dFrom i ≫ fromNext i f := rfl #align d_next_eq_d_from_from_next dNext_eq_dFrom_fromNext theorem dNext_eq (f : ∀ i j, C.X i ⟶ D.X j) {i i' : ι} (w : c.Rel i i') : dNext i f = C.d i i' ≫ f i' i := by obtain rfl := c.next_eq' w rfl #align d_next_eq dNext_eq lemma dNext_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel i (c.next i)) : dNext i f = 0 := by dsimp [dNext] rw [shape _ _ _ hi, zero_comp] @[simp 1100] theorem dNext_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (i : ι) : (dNext i fun i j => f.f i ≫ g i j) = f.f i ≫ dNext i g := (f.comm_assoc _ _ _).symm #align d_next_comp_left dNext_comp_left @[simp 1100] theorem dNext_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (i : ι) : (dNext i fun i j => f i j ≫ g.f j) = dNext i f ≫ g.f i := (assoc _ _ _).symm #align d_next_comp_right dNext_comp_right def prevD (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.X j) := AddMonoidHom.mk' (fun f => f j (c.prev j) ≫ D.d (c.prev j) j) fun _ _ => Preadditive.add_comp _ _ _ _ _ _ #align prev_d prevD lemma prevD_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel (c.prev i) i) : prevD i f = 0 := by dsimp [prevD] rw [shape _ _ _ hi, comp_zero] def toPrev (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.xPrev j) := AddMonoidHom.mk' (fun f => f j (c.prev j)) fun _ _ => rfl #align to_prev toPrev @[simp] theorem prevD_eq_toPrev_dTo (f : ∀ i j, C.X i ⟶ D.X j) (j : ι) : prevD j f = toPrev j f ≫ D.dTo j := rfl #align prev_d_eq_to_prev_d_to prevD_eq_toPrev_dTo
Mathlib/Algebra/Homology/Homotopy.lean
96
99
theorem prevD_eq (f : ∀ i j, C.X i ⟶ D.X j) {j j' : ι} (w : c.Rel j' j) : prevD j f = f j j' ≫ D.d j' j := by
obtain rfl := c.prev_eq' w rfl
false
import Mathlib.Analysis.InnerProductSpace.Adjoint #align_import analysis.inner_product_space.positive from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" open InnerProductSpace RCLike ContinuousLinearMap open scoped InnerProduct ComplexConjugate namespace ContinuousLinearMap variable {𝕜 E F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] variable [CompleteSpace E] [CompleteSpace F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y def IsPositive (T : E →L[𝕜] E) : Prop := IsSelfAdjoint T ∧ ∀ x, 0 ≤ T.reApplyInnerSelf x #align continuous_linear_map.is_positive ContinuousLinearMap.IsPositive theorem IsPositive.isSelfAdjoint {T : E →L[𝕜] E} (hT : IsPositive T) : IsSelfAdjoint T := hT.1 #align continuous_linear_map.is_positive.is_self_adjoint ContinuousLinearMap.IsPositive.isSelfAdjoint theorem IsPositive.inner_nonneg_left {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪T x, x⟫ := hT.2 x #align continuous_linear_map.is_positive.inner_nonneg_left ContinuousLinearMap.IsPositive.inner_nonneg_left theorem IsPositive.inner_nonneg_right {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪x, T x⟫ := by rw [inner_re_symm]; exact hT.inner_nonneg_left x #align continuous_linear_map.is_positive.inner_nonneg_right ContinuousLinearMap.IsPositive.inner_nonneg_right theorem isPositive_zero : IsPositive (0 : E →L[𝕜] E) := by refine ⟨isSelfAdjoint_zero _, fun x => ?_⟩ change 0 ≤ re ⟪_, _⟫ rw [zero_apply, inner_zero_left, ZeroHomClass.map_zero] #align continuous_linear_map.is_positive_zero ContinuousLinearMap.isPositive_zero theorem isPositive_one : IsPositive (1 : E →L[𝕜] E) := ⟨isSelfAdjoint_one _, fun _ => inner_self_nonneg⟩ #align continuous_linear_map.is_positive_one ContinuousLinearMap.isPositive_one theorem IsPositive.add {T S : E →L[𝕜] E} (hT : T.IsPositive) (hS : S.IsPositive) : (T + S).IsPositive := by refine ⟨hT.isSelfAdjoint.add hS.isSelfAdjoint, fun x => ?_⟩ rw [reApplyInnerSelf, add_apply, inner_add_left, map_add] exact add_nonneg (hT.inner_nonneg_left x) (hS.inner_nonneg_left x) #align continuous_linear_map.is_positive.add ContinuousLinearMap.IsPositive.add theorem IsPositive.conj_adjoint {T : E →L[𝕜] E} (hT : T.IsPositive) (S : E →L[𝕜] F) : (S ∘L T ∘L S†).IsPositive := by refine ⟨hT.isSelfAdjoint.conj_adjoint S, fun x => ?_⟩ rw [reApplyInnerSelf, comp_apply, ← adjoint_inner_right] exact hT.inner_nonneg_left _ #align continuous_linear_map.is_positive.conj_adjoint ContinuousLinearMap.IsPositive.conj_adjoint theorem IsPositive.adjoint_conj {T : E →L[𝕜] E} (hT : T.IsPositive) (S : F →L[𝕜] E) : (S† ∘L T ∘L S).IsPositive := by convert hT.conj_adjoint (S†) rw [adjoint_adjoint] #align continuous_linear_map.is_positive.adjoint_conj ContinuousLinearMap.IsPositive.adjoint_conj theorem IsPositive.conj_orthogonalProjection (U : Submodule 𝕜 E) {T : E →L[𝕜] E} (hT : T.IsPositive) [CompleteSpace U] : (U.subtypeL ∘L orthogonalProjection U ∘L T ∘L U.subtypeL ∘L orthogonalProjection U).IsPositive := by have := hT.conj_adjoint (U.subtypeL ∘L orthogonalProjection U) rwa [(orthogonalProjection_isSelfAdjoint U).adjoint_eq] at this #align continuous_linear_map.is_positive.conj_orthogonal_projection ContinuousLinearMap.IsPositive.conj_orthogonalProjection
Mathlib/Analysis/InnerProductSpace/Positive.lean
109
112
theorem IsPositive.orthogonalProjection_comp {T : E →L[𝕜] E} (hT : T.IsPositive) (U : Submodule 𝕜 E) [CompleteSpace U] : (orthogonalProjection U ∘L T ∘L U.subtypeL).IsPositive := by
have := hT.conj_adjoint (orthogonalProjection U : E →L[𝕜] U) rwa [U.adjoint_orthogonalProjection] at this
false
import Mathlib.Dynamics.Ergodic.MeasurePreserving #align_import dynamics.ergodic.ergodic from "leanprover-community/mathlib"@"809e920edfa343283cea507aedff916ea0f1bd88" open Set Function Filter MeasureTheory MeasureTheory.Measure open ENNReal variable {α : Type*} {m : MeasurableSpace α} (f : α → α) {s : Set α} structure PreErgodic (μ : Measure α := by volume_tac) : Prop where ae_empty_or_univ : ∀ ⦃s⦄, MeasurableSet s → f ⁻¹' s = s → s =ᵐ[μ] (∅ : Set α) ∨ s =ᵐ[μ] univ #align pre_ergodic PreErgodic -- porting note (#5171): removed @[nolint has_nonempty_instance] structure Ergodic (μ : Measure α := by volume_tac) extends MeasurePreserving f μ μ, PreErgodic f μ : Prop #align ergodic Ergodic -- porting note (#5171): removed @[nolint has_nonempty_instance] structure QuasiErgodic (μ : Measure α := by volume_tac) extends QuasiMeasurePreserving f μ μ, PreErgodic f μ : Prop #align quasi_ergodic QuasiErgodic variable {f} {μ : Measure α} namespace QuasiErgodic
Mathlib/Dynamics/Ergodic/Ergodic.lean
124
127
theorem ae_empty_or_univ' (hf : QuasiErgodic f μ) (hs : MeasurableSet s) (hs' : f ⁻¹' s =ᵐ[μ] s) : s =ᵐ[μ] (∅ : Set α) ∨ s =ᵐ[μ] univ := by
obtain ⟨t, h₀, h₁, h₂⟩ := hf.toQuasiMeasurePreserving.exists_preimage_eq_of_preimage_ae hs hs' rcases hf.ae_empty_or_univ h₀ h₂ with (h₃ | h₃) <;> [left; right] <;> exact ae_eq_trans h₁.symm h₃
false
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Coxeter.Basic namespace CoxeterSystem open List Matrix Function Classical variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by rcases cs.wordProd_surjective w with ⟨ω, rfl⟩ use ω.length, ω noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w) local prefix:100 "ℓ" => cs.length
Mathlib/GroupTheory/Coxeter/Length.lean
71
73
theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by
have := Nat.find_spec (cs.exists_word_with_prod w) tauto
false
import Mathlib.Control.Bitraversable.Basic #align_import control.bitraversable.lemmas from "leanprover-community/mathlib"@"58581d0fe523063f5651df0619be2bf65012a94a" universe u variable {t : Type u → Type u → Type u} [Bitraversable t] variable {β : Type u} namespace Bitraversable open Functor LawfulApplicative variable {F G : Type u → Type u} [Applicative F] [Applicative G] abbrev tfst {α α'} (f : α → F α') : t α β → F (t α' β) := bitraverse f pure #align bitraversable.tfst Bitraversable.tfst abbrev tsnd {α α'} (f : α → F α') : t β α → F (t β α') := bitraverse pure f #align bitraversable.tsnd Bitraversable.tsnd variable [LawfulBitraversable t] [LawfulApplicative F] [LawfulApplicative G] @[higher_order tfst_id] theorem id_tfst : ∀ {α β} (x : t α β), tfst (F := Id) pure x = pure x := id_bitraverse #align bitraversable.id_tfst Bitraversable.id_tfst @[higher_order tsnd_id] theorem id_tsnd : ∀ {α β} (x : t α β), tsnd (F := Id) pure x = pure x := id_bitraverse #align bitraversable.id_tsnd Bitraversable.id_tsnd @[higher_order tfst_comp_tfst] theorem comp_tfst {α₀ α₁ α₂ β} (f : α₀ → F α₁) (f' : α₁ → G α₂) (x : t α₀ β) : Comp.mk (tfst f' <$> tfst f x) = tfst (Comp.mk ∘ map f' ∘ f) x := by rw [← comp_bitraverse] simp only [Function.comp, tfst, map_pure, Pure.pure] #align bitraversable.comp_tfst Bitraversable.comp_tfst @[higher_order tfst_comp_tsnd]
Mathlib/Control/Bitraversable/Lemmas.lean
79
83
theorem tfst_tsnd {α₀ α₁ β₀ β₁} (f : α₀ → F α₁) (f' : β₀ → G β₁) (x : t α₀ β₀) : Comp.mk (tfst f <$> tsnd f' x) = bitraverse (Comp.mk ∘ pure ∘ f) (Comp.mk ∘ map pure ∘ f') x := by
rw [← comp_bitraverse] simp only [Function.comp, map_pure]
false
import Mathlib.MeasureTheory.Measure.MeasureSpace #align_import measure_theory.covering.vitali_family from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure open Filter MeasureTheory Topology variable {α : Type*} [MetricSpace α] -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure VitaliFamily {m : MeasurableSpace α} (μ : Measure α) where setsAt : α → Set (Set α) measurableSet : ∀ x : α, ∀ s ∈ setsAt x, MeasurableSet s nonempty_interior : ∀ x : α, ∀ s ∈ setsAt x, (interior s).Nonempty nontrivial : ∀ (x : α), ∀ ε > (0 : ℝ), ∃ s ∈ setsAt x, s ⊆ closedBall x ε covering : ∀ (s : Set α) (f : α → Set (Set α)), (∀ x ∈ s, f x ⊆ setsAt x) → (∀ x ∈ s, ∀ ε > (0 : ℝ), ∃ a ∈ f x, a ⊆ closedBall x ε) → ∃ t : Set (α × Set α), (∀ p ∈ t, p.1 ∈ s) ∧ (t.PairwiseDisjoint fun p ↦ p.2) ∧ (∀ p ∈ t, p.2 ∈ f p.1) ∧ μ (s \ ⋃ p ∈ t, p.2) = 0 #align vitali_family VitaliFamily namespace VitaliFamily variable {m0 : MeasurableSpace α} {μ : Measure α} def mono (v : VitaliFamily μ) (ν : Measure α) (hν : ν ≪ μ) : VitaliFamily ν where __ := v covering s f h h' := let ⟨t, ts, disj, mem_f, hμ⟩ := v.covering s f h h' ⟨t, ts, disj, mem_f, hν hμ⟩ #align vitali_family.mono VitaliFamily.mono def FineSubfamilyOn (v : VitaliFamily μ) (f : α → Set (Set α)) (s : Set α) : Prop := ∀ x ∈ s, ∀ ε > 0, ∃ a ∈ v.setsAt x ∩ f x, a ⊆ closedBall x ε #align vitali_family.fine_subfamily_on VitaliFamily.FineSubfamilyOn def enlarge (v : VitaliFamily μ) (δ : ℝ) (δpos : 0 < δ) : VitaliFamily μ where setsAt x := v.setsAt x ∪ { a | MeasurableSet a ∧ (interior a).Nonempty ∧ ¬a ⊆ closedBall x δ } measurableSet x a ha := by cases' ha with ha ha exacts [v.measurableSet _ _ ha, ha.1] nonempty_interior x a ha := by cases' ha with ha ha exacts [v.nonempty_interior _ _ ha, ha.2.1] nontrivial := by intro x ε εpos rcases v.nontrivial x ε εpos with ⟨a, ha, h'a⟩ exact ⟨a, mem_union_left _ ha, h'a⟩ covering := by intro s f fset ffine let g : α → Set (Set α) := fun x => f x ∩ v.setsAt x have : ∀ x ∈ s, ∀ ε : ℝ, ε > 0 → ∃ (a : Set α), a ∈ g x ∧ a ⊆ closedBall x ε := by intro x hx ε εpos obtain ⟨a, af, ha⟩ : ∃ a ∈ f x, a ⊆ closedBall x (min ε δ) := ffine x hx (min ε δ) (lt_min εpos δpos) rcases fset x hx af with (h'a | h'a) · exact ⟨a, ⟨af, h'a⟩, ha.trans (closedBall_subset_closedBall (min_le_left _ _))⟩ · refine False.elim (h'a.2.2 ?_) exact ha.trans (closedBall_subset_closedBall (min_le_right _ _)) rcases v.covering s g (fun x _ => inter_subset_right) this with ⟨t, ts, tdisj, tg, μt⟩ exact ⟨t, ts, tdisj, fun p hp => (tg p hp).1, μt⟩ #align vitali_family.enlarge VitaliFamily.enlarge variable (v : VitaliFamily μ) def filterAt (x : α) : Filter (Set α) := (𝓝 x).smallSets ⊓ 𝓟 (v.setsAt x) #align vitali_family.filter_at VitaliFamily.filterAt theorem _root_.Filter.HasBasis.vitaliFamily {ι : Sort*} {p : ι → Prop} {s : ι → Set α} {x : α} (h : (𝓝 x).HasBasis p s) : (v.filterAt x).HasBasis p (fun i ↦ {t ∈ v.setsAt x | t ⊆ s i}) := by simpa only [← Set.setOf_inter_eq_sep] using h.smallSets.inf_principal _ theorem filterAt_basis_closedBall (x : α) : (v.filterAt x).HasBasis (0 < ·) ({a ∈ v.setsAt x | a ⊆ closedBall x ·}) := nhds_basis_closedBall.vitaliFamily v
Mathlib/MeasureTheory/Covering/VitaliFamily.lean
234
236
theorem mem_filterAt_iff {x : α} {s : Set (Set α)} : s ∈ v.filterAt x ↔ ∃ ε > (0 : ℝ), ∀ a ∈ v.setsAt x, a ⊆ closedBall x ε → a ∈ s := by
simp only [(v.filterAt_basis_closedBall x).mem_iff, ← and_imp, subset_def, mem_setOf]
false
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Splits import Mathlib.Algebra.Squarefree.Basic import Mathlib.FieldTheory.Minpoly.Field import Mathlib.RingTheory.PowerBasis #align_import field_theory.separable from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" universe u v w open scoped Classical open Polynomial Finset namespace Polynomial section CommSemiring variable {R : Type u} [CommSemiring R] {S : Type v} [CommSemiring S] def Separable (f : R[X]) : Prop := IsCoprime f (derivative f) #align polynomial.separable Polynomial.Separable theorem separable_def (f : R[X]) : f.Separable ↔ IsCoprime f (derivative f) := Iff.rfl #align polynomial.separable_def Polynomial.separable_def theorem separable_def' (f : R[X]) : f.Separable ↔ ∃ a b : R[X], a * f + b * (derivative f) = 1 := Iff.rfl #align polynomial.separable_def' Polynomial.separable_def' theorem not_separable_zero [Nontrivial R] : ¬Separable (0 : R[X]) := by rintro ⟨x, y, h⟩ simp only [derivative_zero, mul_zero, add_zero, zero_ne_one] at h #align polynomial.not_separable_zero Polynomial.not_separable_zero theorem Separable.ne_zero [Nontrivial R] {f : R[X]} (h : f.Separable) : f ≠ 0 := (not_separable_zero <| · ▸ h) @[simp] theorem separable_one : (1 : R[X]).Separable := isCoprime_one_left #align polynomial.separable_one Polynomial.separable_one @[nontriviality] theorem separable_of_subsingleton [Subsingleton R] (f : R[X]) : f.Separable := by simp [Separable, IsCoprime, eq_iff_true_of_subsingleton] #align polynomial.separable_of_subsingleton Polynomial.separable_of_subsingleton theorem separable_X_add_C (a : R) : (X + C a).Separable := by rw [separable_def, derivative_add, derivative_X, derivative_C, add_zero] exact isCoprime_one_right set_option linter.uppercaseLean3 false in #align polynomial.separable_X_add_C Polynomial.separable_X_add_C
Mathlib/FieldTheory/Separable.lean
76
78
theorem separable_X : (X : R[X]).Separable := by
rw [separable_def, derivative_X] exact isCoprime_one_right
false
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.Galois universe u v w open scoped Classical Polynomial open Polynomial variable (k : Type u) [Field k] (K : Type v) [Field K] class IsSepClosed : Prop where splits_of_separable : ∀ p : k[X], p.Separable → (p.Splits <| RingHom.id k) instance IsSepClosed.of_isAlgClosed [IsAlgClosed k] : IsSepClosed k := ⟨fun p _ ↦ IsAlgClosed.splits p⟩ variable {k} {K} theorem IsSepClosed.splits_codomain [IsSepClosed K] {f : k →+* K} (p : k[X]) (h : p.Separable) : p.Splits f := by convert IsSepClosed.splits_of_separable (p.map f) (Separable.map h); simp [splits_map_iff] theorem IsSepClosed.splits_domain [IsSepClosed k] {f : k →+* K} (p : k[X]) (h : p.Separable) : p.Splits f := Polynomial.splits_of_splits_id _ <| IsSepClosed.splits_of_separable _ h namespace IsSepClosed theorem exists_root [IsSepClosed k] (p : k[X]) (hp : p.degree ≠ 0) (hsep : p.Separable) : ∃ x, IsRoot p x := exists_root_of_splits _ (IsSepClosed.splits_of_separable p hsep) hp variable (k) in instance (priority := 100) isAlgClosed_of_perfectField [IsSepClosed k] [PerfectField k] : IsAlgClosed k := IsAlgClosed.of_exists_root k fun p _ h ↦ exists_root p ((degree_pos_of_irreducible h).ne') (PerfectField.separable_of_irreducible h) theorem exists_pow_nat_eq [IsSepClosed k] (x : k) (n : ℕ) [hn : NeZero (n : k)] : ∃ z, z ^ n = x := by have hn' : 0 < n := Nat.pos_of_ne_zero fun h => by rw [h, Nat.cast_zero] at hn exact hn.out rfl have : degree (X ^ n - C x) ≠ 0 := by rw [degree_X_pow_sub_C hn' x] exact (WithBot.coe_lt_coe.2 hn').ne' by_cases hx : x = 0 · exact ⟨0, by rw [hx, pow_eq_zero_iff hn'.ne']⟩ · obtain ⟨z, hz⟩ := exists_root _ this <| separable_X_pow_sub_C x hn.out hx use z simpa [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def, sub_eq_zero] using hz theorem exists_eq_mul_self [IsSepClosed k] (x : k) [h2 : NeZero (2 : k)] : ∃ z, x = z * z := by rcases exists_pow_nat_eq x 2 with ⟨z, rfl⟩ exact ⟨z, sq z⟩ theorem roots_eq_zero_iff [IsSepClosed k] {p : k[X]} (hsep : p.Separable) : p.roots = 0 ↔ p = Polynomial.C (p.coeff 0) := by refine ⟨fun h => ?_, fun hp => by rw [hp, roots_C]⟩ rcases le_or_lt (degree p) 0 with hd | hd · exact eq_C_of_degree_le_zero hd · obtain ⟨z, hz⟩ := IsSepClosed.exists_root p hd.ne' hsep rw [← mem_roots (ne_zero_of_degree_gt hd), h] at hz simp at hz theorem exists_eval₂_eq_zero [IsSepClosed K] (f : k →+* K) (p : k[X]) (hp : p.degree ≠ 0) (hsep : p.Separable) : ∃ x, p.eval₂ f x = 0 := let ⟨x, hx⟩ := exists_root (p.map f) (by rwa [degree_map_eq_of_injective f.injective]) (Separable.map hsep) ⟨x, by rwa [eval₂_eq_eval_map, ← IsRoot]⟩ variable (K) theorem exists_aeval_eq_zero [IsSepClosed K] [Algebra k K] (p : k[X]) (hp : p.degree ≠ 0) (hsep : p.Separable) : ∃ x : K, aeval x p = 0 := exists_eval₂_eq_zero (algebraMap k K) p hp hsep variable (k) {K} theorem of_exists_root (H : ∀ p : k[X], p.Monic → Irreducible p → Separable p → ∃ x, p.eval x = 0) : IsSepClosed k := by refine ⟨fun p hsep ↦ Or.inr ?_⟩ intro q hq hdvd simp only [map_id] at hdvd have hlc : IsUnit (leadingCoeff q)⁻¹ := IsUnit.inv <| Ne.isUnit <| leadingCoeff_ne_zero.2 <| Irreducible.ne_zero hq have hsep' : Separable (q * C (leadingCoeff q)⁻¹) := Separable.mul (Separable.of_dvd hsep hdvd) ((separable_C _).2 hlc) (by simpa only [← isCoprime_mul_unit_right_right (isUnit_C.2 hlc) q 1, one_mul] using isCoprime_one_right (x := q)) have hirr' := hq rw [← irreducible_mul_isUnit (isUnit_C.2 hlc)] at hirr' obtain ⟨x, hx⟩ := H (q * C (leadingCoeff q)⁻¹) (monic_mul_leadingCoeff_inv hq.ne_zero) hirr' hsep' exact degree_mul_leadingCoeff_inv q hq.ne_zero ▸ degree_eq_one_of_irreducible_of_root hirr' hx theorem degree_eq_one_of_irreducible [IsSepClosed k] {p : k[X]} (hp : Irreducible p) (hsep : p.Separable) : p.degree = 1 := degree_eq_one_of_irreducible_of_splits hp (IsSepClosed.splits_codomain p hsep) variable (K)
Mathlib/FieldTheory/IsSepClosed.lean
168
179
theorem algebraMap_surjective [IsSepClosed k] [Algebra k K] [IsSeparable k K] : Function.Surjective (algebraMap k K) := by
refine fun x => ⟨-(minpoly k x).coeff 0, ?_⟩ have hq : (minpoly k x).leadingCoeff = 1 := minpoly.monic (IsSeparable.isIntegral k x) have hsep : (minpoly k x).Separable := IsSeparable.separable k x have h : (minpoly k x).degree = 1 := degree_eq_one_of_irreducible k (minpoly.irreducible (IsSeparable.isIntegral k x)) hsep have : aeval x (minpoly k x) = 0 := minpoly.aeval k x rw [eq_X_add_C_of_degree_eq_one h, hq, C_1, one_mul, aeval_add, aeval_X, aeval_C, add_eq_zero_iff_eq_neg] at this exact (RingHom.map_neg (algebraMap k K) ((minpoly k x).coeff 0)).symm ▸ this.symm
false
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
Mathlib/Topology/Bornology/Constructions.lean
88
91
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]
false
import Mathlib.Data.PFunctor.Univariate.M #align_import data.qpf.univariate.basic from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" universe u class QPF (F : Type u → Type u) [Functor F] where P : PFunctor.{u} abs : ∀ {α}, P α → F α repr : ∀ {α}, F α → P α abs_repr : ∀ {α} (x : F α), abs (repr x) = x abs_map : ∀ {α β} (f : α → β) (p : P α), abs (P.map f p) = f <$> abs p #align qpf QPF namespace QPF variable {F : Type u → Type u} [Functor F] [q : QPF F] open Functor (Liftp Liftr) theorem id_map {α : Type _} (x : F α) : id <$> x = x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map] rfl #align qpf.id_map QPF.id_map theorem comp_map {α β γ : Type _} (f : α → β) (g : β → γ) (x : F α) : (g ∘ f) <$> x = g <$> f <$> x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map, ← abs_map, ← abs_map] rfl #align qpf.comp_map QPF.comp_map theorem lawfulFunctor (h : ∀ α β : Type u, @Functor.mapConst F _ α _ = Functor.map ∘ Function.const β) : LawfulFunctor F := { map_const := @h id_map := @id_map F _ _ comp_map := @comp_map F _ _ } #align qpf.is_lawful_functor QPF.lawfulFunctor section open Functor theorem liftp_iff {α : Type u} (p : α → Prop) (x : F α) : Liftp p x ↔ ∃ a f, x = abs ⟨a, f⟩ ∧ ∀ i, p (f i) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use a, fun i => (f i).val constructor · rw [← hy, ← abs_repr y, h, ← abs_map] rfl intro i apply (f i).property rintro ⟨a, f, h₀, h₁⟩ use abs ⟨a, fun i => ⟨f i, h₁ i⟩⟩ rw [← abs_map, h₀]; rfl #align qpf.liftp_iff QPF.liftp_iff theorem liftp_iff' {α : Type u} (p : α → Prop) (x : F α) : Liftp p x ↔ ∃ u : q.P α, abs u = x ∧ ∀ i, p (u.snd i) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use ⟨a, fun i => (f i).val⟩ dsimp constructor · rw [← hy, ← abs_repr y, h, ← abs_map] rfl intro i apply (f i).property rintro ⟨⟨a, f⟩, h₀, h₁⟩; dsimp at * use abs ⟨a, fun i => ⟨f i, h₁ i⟩⟩ rw [← abs_map, ← h₀]; rfl #align qpf.liftp_iff' QPF.liftp_iff' theorem liftr_iff {α : Type u} (r : α → α → Prop) (x y : F α) : Liftr r x y ↔ ∃ a f₀ f₁, x = abs ⟨a, f₀⟩ ∧ y = abs ⟨a, f₁⟩ ∧ ∀ i, r (f₀ i) (f₁ i) := by constructor · rintro ⟨u, xeq, yeq⟩ cases' h : repr u with a f use a, fun i => (f i).val.fst, fun i => (f i).val.snd constructor · rw [← xeq, ← abs_repr u, h, ← abs_map] rfl constructor · rw [← yeq, ← abs_repr u, h, ← abs_map] rfl intro i exact (f i).property rintro ⟨a, f₀, f₁, xeq, yeq, h⟩ use abs ⟨a, fun i => ⟨(f₀ i, f₁ i), h i⟩⟩ constructor · rw [xeq, ← abs_map] rfl rw [yeq, ← abs_map]; rfl #align qpf.liftr_iff QPF.liftr_iff end def recF {α : Type _} (g : F α → α) : q.P.W → α | ⟨a, f⟩ => g (abs ⟨a, fun x => recF g (f x)⟩) set_option linter.uppercaseLean3 false in #align qpf.recF QPF.recF
Mathlib/Data/QPF/Univariate/Basic.lean
169
172
theorem recF_eq {α : Type _} (g : F α → α) (x : q.P.W) : recF g x = g (abs (q.P.map (recF g) x.dest)) := by
cases x rfl
false
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _ #align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by by_cases hp0 : p = 0 · simp [hp0] by_cases hp_top : p = ∞ · simp [hp_top, snormEssSup_add_le] have hp1_real : 1 ≤ p.toReal := by rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top] repeat rw [snorm_eq_snorm' hp0 hp_top] exact snorm'_add_le hf hg hp1_real #align measure_theory.snorm_add_le MeasureTheory.snorm_add_le noncomputable def LpAddConst (p : ℝ≥0∞) : ℝ≥0∞ := if p ∈ Set.Ioo (0 : ℝ≥0∞) 1 then (2 : ℝ≥0∞) ^ (1 / p.toReal - 1) else 1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const MeasureTheory.LpAddConst theorem LpAddConst_of_one_le {p : ℝ≥0∞} (hp : 1 ≤ p) : LpAddConst p = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ (h.2.trans_le hp) set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_of_one_le MeasureTheory.LpAddConst_of_one_le theorem LpAddConst_zero : LpAddConst 0 = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ h.1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_zero MeasureTheory.LpAddConst_zero
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
87
94
theorem LpAddConst_lt_top (p : ℝ≥0∞) : LpAddConst p < ∞ := by
rw [LpAddConst] split_ifs with h · apply ENNReal.rpow_lt_top_of_nonneg _ ENNReal.two_ne_top simp only [one_div, sub_nonneg] apply one_le_inv (ENNReal.toReal_pos h.1.ne' (h.2.trans ENNReal.one_lt_top).ne) simpa using ENNReal.toReal_mono ENNReal.one_ne_top h.2.le · exact ENNReal.one_lt_top
false
import Mathlib.Logic.Function.Basic import Mathlib.Logic.Relator import Mathlib.Init.Data.Quot import Mathlib.Tactic.Cases import Mathlib.Tactic.Use import Mathlib.Tactic.MkIffOfInductiveProp import Mathlib.Tactic.SimpRw #align_import logic.relation from "leanprover-community/mathlib"@"3365b20c2ffa7c35e47e5209b89ba9abdddf3ffe" open Function variable {α β γ δ ε ζ : Type*} namespace Relation variable {r : α → α → Prop} {a b c d : α} @[mk_iff ReflTransGen.cases_tail_iff] inductive ReflTransGen (r : α → α → Prop) (a : α) : α → Prop | refl : ReflTransGen r a a | tail {b c} : ReflTransGen r a b → r b c → ReflTransGen r a c #align relation.refl_trans_gen Relation.ReflTransGen #align relation.refl_trans_gen.cases_tail_iff Relation.ReflTransGen.cases_tail_iff attribute [refl] ReflTransGen.refl @[mk_iff] inductive ReflGen (r : α → α → Prop) (a : α) : α → Prop | refl : ReflGen r a a | single {b} : r a b → ReflGen r a b #align relation.refl_gen Relation.ReflGen #align relation.refl_gen_iff Relation.reflGen_iff @[mk_iff] inductive TransGen (r : α → α → Prop) (a : α) : α → Prop | single {b} : r a b → TransGen r a b | tail {b c} : TransGen r a b → r b c → TransGen r a c #align relation.trans_gen Relation.TransGen #align relation.trans_gen_iff Relation.transGen_iff attribute [refl] ReflGen.refl namespace ReflTransGen @[trans] theorem trans (hab : ReflTransGen r a b) (hbc : ReflTransGen r b c) : ReflTransGen r a c := by induction hbc with | refl => assumption | tail _ hcd hac => exact hac.tail hcd #align relation.refl_trans_gen.trans Relation.ReflTransGen.trans theorem single (hab : r a b) : ReflTransGen r a b := refl.tail hab #align relation.refl_trans_gen.single Relation.ReflTransGen.single theorem head (hab : r a b) (hbc : ReflTransGen r b c) : ReflTransGen r a c := by induction hbc with | refl => exact refl.tail hab | tail _ hcd hac => exact hac.tail hcd #align relation.refl_trans_gen.head Relation.ReflTransGen.head theorem symmetric (h : Symmetric r) : Symmetric (ReflTransGen r) := by intro x y h induction' h with z w _ b c · rfl · apply Relation.ReflTransGen.head (h b) c #align relation.refl_trans_gen.symmetric Relation.ReflTransGen.symmetric theorem cases_tail : ReflTransGen r a b → b = a ∨ ∃ c, ReflTransGen r a c ∧ r c b := (cases_tail_iff r a b).1 #align relation.refl_trans_gen.cases_tail Relation.ReflTransGen.cases_tail @[elab_as_elim] theorem head_induction_on {P : ∀ a : α, ReflTransGen r a b → Prop} {a : α} (h : ReflTransGen r a b) (refl : P b refl) (head : ∀ {a c} (h' : r a c) (h : ReflTransGen r c b), P c h → P a (h.head h')) : P a h := by induction h with | refl => exact refl | @tail b c _ hbc ih => apply ih · exact head hbc _ refl · exact fun h1 h2 ↦ head h1 (h2.tail hbc) #align relation.refl_trans_gen.head_induction_on Relation.ReflTransGen.head_induction_on @[elab_as_elim] theorem trans_induction_on {P : ∀ {a b : α}, ReflTransGen r a b → Prop} {a b : α} (h : ReflTransGen r a b) (ih₁ : ∀ a, @P a a refl) (ih₂ : ∀ {a b} (h : r a b), P (single h)) (ih₃ : ∀ {a b c} (h₁ : ReflTransGen r a b) (h₂ : ReflTransGen r b c), P h₁ → P h₂ → P (h₁.trans h₂)) : P h := by induction h with | refl => exact ih₁ a | tail hab hbc ih => exact ih₃ hab (single hbc) ih (ih₂ hbc) #align relation.refl_trans_gen.trans_induction_on Relation.ReflTransGen.trans_induction_on
Mathlib/Logic/Relation.lean
345
350
theorem cases_head (h : ReflTransGen r a b) : a = b ∨ ∃ c, r a c ∧ ReflTransGen r c b := by
induction h using Relation.ReflTransGen.head_induction_on · left rfl · right exact ⟨_, by assumption, by assumption⟩;
false