Context
stringlengths
57
6.04k
file_name
stringlengths
21
79
start
int64
14
1.49k
end
int64
18
1.5k
theorem
stringlengths
25
1.55k
proof
stringlengths
5
7.36k
num_lines
int64
1
150
complexity_score
float64
2.72
139,370,958,066,637,970,000,000,000,000,000,000,000,000,000,000,000,000,000B
diff_level
int64
0
2
file_diff_level
float64
0
2
theorem_same_file
int64
1
32
rank_file
int64
0
2.51k
import Mathlib.CategoryTheory.EqToHom import Mathlib.CategoryTheory.Functor.Const import Mathlib.CategoryTheory.Opposites import Mathlib.Data.Prod.Basic #align_import category_theory.products.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" namespace CategoryTheory -- declare the `v`'s first; see `CategoryTheory.Category` for an explanation universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄ section variable (C : Type u₁) [Category.{v₁} C] (D : Type u₂) [Category.{v₂} D] -- the generates simp lemmas like `id_fst` and `comp_snd` @[simps (config := { notRecursive := [] }) Hom id_fst id_snd comp_fst comp_snd] instance prod : Category.{max v₁ v₂} (C × D) where Hom X Y := (X.1 ⟶ Y.1) × (X.2 ⟶ Y.2) id X := ⟨𝟙 X.1, 𝟙 X.2⟩ comp f g := (f.1 ≫ g.1, f.2 ≫ g.2) #align category_theory.prod CategoryTheory.prod @[simp] theorem prod_id (X : C) (Y : D) : 𝟙 (X, Y) = (𝟙 X, 𝟙 Y) := rfl #align category_theory.prod_id CategoryTheory.prod_id @[simp] theorem prod_comp {P Q R : C} {S T U : D} (f : (P, S) ⟶ (Q, T)) (g : (Q, T) ⟶ (R, U)) : f ≫ g = (f.1 ≫ g.1, f.2 ≫ g.2) := rfl #align category_theory.prod_comp CategoryTheory.prod_comp
Mathlib/CategoryTheory/Products/Basic.lean
64
75
theorem isIso_prod_iff {P Q : C} {S T : D} {f : (P, S) ⟶ (Q, T)} : IsIso f ↔ IsIso f.1 ∧ IsIso f.2 := by
constructor · rintro ⟨g, hfg, hgf⟩ simp? at hfg hgf says simp only [prod_Hom, prod_comp, prod_id, Prod.mk.injEq] at hfg hgf rcases hfg with ⟨hfg₁, hfg₂⟩ rcases hgf with ⟨hgf₁, hgf₂⟩ exact ⟨⟨⟨g.1, hfg₁, hgf₁⟩⟩, ⟨⟨g.2, hfg₂, hgf₂⟩⟩⟩ · rintro ⟨⟨g₁, hfg₁, hgf₁⟩, ⟨g₂, hfg₂, hgf₂⟩⟩ dsimp at hfg₁ hgf₁ hfg₂ hgf₂ refine ⟨⟨(g₁, g₂), ?_, ?_⟩⟩ repeat { simp; constructor; assumption; assumption }
10
22,026.465795
2
2
1
2,467
import Mathlib.Analysis.SpecialFunctions.ImproperIntegrals import Mathlib.Analysis.Calculus.ParametricIntegral import Mathlib.MeasureTheory.Measure.Haar.NormedSpace #align_import analysis.mellin_transform from "leanprover-community/mathlib"@"917c3c072e487b3cccdbfeff17e75b40e45f66cb" open MeasureTheory Set Filter Asymptotics TopologicalSpace open Real open Complex hiding exp log abs_of_nonneg open scoped Topology noncomputable section variable {E : Type*} [NormedAddCommGroup E] section MellinDiff
Mathlib/Analysis/MellinTransform.lean
304
312
theorem isBigO_rpow_top_log_smul [NormedSpace ℝ E] {a b : ℝ} {f : ℝ → E} (hab : b < a) (hf : f =O[atTop] (· ^ (-a))) : (fun t : ℝ => log t • f t) =O[atTop] (· ^ (-b)) := by
refine ((isLittleO_log_rpow_atTop (sub_pos.mpr hab)).isBigO.smul hf).congr' (eventually_of_forall fun t => by rfl) ((eventually_gt_atTop 0).mp (eventually_of_forall fun t ht => ?_)) simp only rw [smul_eq_mul, ← rpow_add ht, ← sub_eq_add_neg, sub_eq_add_neg a, add_sub_cancel_left]
6
403.428793
2
1.333333
12
1,415
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Integral.IntegralEqImproper import Mathlib.MeasureTheory.Measure.Lebesgue.Integral #align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open Real Set Filter MeasureTheory intervalIntegral open scoped Topology theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by refine integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c (fun y => intervalIntegrable_exp.1) tendsto_id (eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_) simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff] exact (exp_pos _).le #align integrable_on_exp_Iic integrableOn_exp_Iic theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by refine tendsto_nhds_unique (intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_ simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]] exact tendsto_exp_atBot.const_sub _ #align integral_exp_Iic integral_exp_Iic theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 := exp_zero ▸ integral_exp_Iic 0 #align integral_exp_Iic_zero integral_exp_Iic_zero theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c) #align integral_exp_neg_Ioi integral_exp_neg_Ioi theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0 #align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) : IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by intro x hx -- Porting note: helped `convert` with explicit arguments convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1 field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm] have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by apply Tendsto.div_const simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1)) exact integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht #align integrable_on_Ioi_rpow_of_lt integrableOn_Ioi_rpow_of_lt
Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean
76
90
theorem integrableOn_Ioi_rpow_iff {s t : ℝ} (ht : 0 < t) : IntegrableOn (fun x ↦ x ^ s) (Ioi t) ↔ s < -1 := by
refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_rpow_of_lt h ht⟩ contrapose! h intro H have H' : IntegrableOn (fun x ↦ x ^ s) (Ioi (max 1 t)) := H.mono (Set.Ioi_subset_Ioi (le_max_right _ _)) le_rfl have : IntegrableOn (fun x ↦ x⁻¹) (Ioi (max 1 t)) := by apply H'.mono' measurable_inv.aestronglyMeasurable filter_upwards [ae_restrict_mem measurableSet_Ioi] with x hx have x_one : 1 ≤ x := ((le_max_left _ _).trans_lt (mem_Ioi.1 hx)).le simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (zero_le_one.trans x_one)] rw [← Real.rpow_neg_one x] exact Real.rpow_le_rpow_of_exponent_le x_one h exact not_IntegrableOn_Ioi_inv this
13
442,413.392009
2
1.5
8
1,667
import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.LinearAlgebra.AffineSpace.Ordered import Mathlib.Topology.ContinuousFunction.Basic import Mathlib.Topology.GDelta import Mathlib.Analysis.NormedSpace.FunctionSeries import Mathlib.Analysis.SpecificLimits.Basic #align_import topology.urysohns_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {X : Type*} [TopologicalSpace X] open Set Filter TopologicalSpace Topology Filter open scoped Pointwise namespace Urysohns set_option linter.uppercaseLean3 false structure CU {X : Type*} [TopologicalSpace X] (P : Set X → Prop) where protected C : Set X protected U : Set X protected P_C : P C protected closed_C : IsClosed C protected open_U : IsOpen U protected subset : C ⊆ U protected hP : ∀ {c u : Set X}, IsClosed c → P c → IsOpen u → c ⊆ u → ∃ v, IsOpen v ∧ c ⊆ v ∧ closure v ⊆ u ∧ P (closure v) #align urysohns.CU Urysohns.CU namespace CU variable {P : Set X → Prop} @[simps C] def left (c : CU P) : CU P where C := c.C U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose closed_C := c.closed_C P_C := c.P_C open_U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.1 subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.1 hP := c.hP #align urysohns.CU.left Urysohns.CU.left @[simps U] def right (c : CU P) : CU P where C := closure (c.hP c.closed_C c.P_C c.open_U c.subset).choose U := c.U closed_C := isClosed_closure P_C := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.2 open_U := c.open_U subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.1 hP := c.hP #align urysohns.CU.right Urysohns.CU.right theorem left_U_subset_right_C (c : CU P) : c.left.U ⊆ c.right.C := subset_closure #align urysohns.CU.left_U_subset_right_C Urysohns.CU.left_U_subset_right_C theorem left_U_subset (c : CU P) : c.left.U ⊆ c.U := Subset.trans c.left_U_subset_right_C c.right.subset #align urysohns.CU.left_U_subset Urysohns.CU.left_U_subset theorem subset_right_C (c : CU P) : c.C ⊆ c.right.C := Subset.trans c.left.subset c.left_U_subset_right_C #align urysohns.CU.subset_right_C Urysohns.CU.subset_right_C noncomputable def approx : ℕ → CU P → X → ℝ | 0, c, x => indicator c.Uᶜ 1 x | n + 1, c, x => midpoint ℝ (approx n c.left x) (approx n c.right x) #align urysohns.CU.approx Urysohns.CU.approx theorem approx_of_mem_C (c : CU P) (n : ℕ) {x : X} (hx : x ∈ c.C) : c.approx n x = 0 := by induction' n with n ihn generalizing c · exact indicator_of_not_mem (fun (hU : x ∈ c.Uᶜ) => hU <| c.subset hx) _ · simp only [approx] rw [ihn, ihn, midpoint_self] exacts [c.subset_right_C hx, hx] #align urysohns.CU.approx_of_mem_C Urysohns.CU.approx_of_mem_C
Mathlib/Topology/UrysohnsLemma.lean
169
175
theorem approx_of_nmem_U (c : CU P) (n : ℕ) {x : X} (hx : x ∉ c.U) : c.approx n x = 1 := by
induction' n with n ihn generalizing c · rw [← mem_compl_iff] at hx exact indicator_of_mem hx _ · simp only [approx] rw [ihn, ihn, midpoint_self] exacts [hx, fun hU => hx <| c.left_U_subset hU]
6
403.428793
2
2
5
2,266
import Mathlib.Algebra.GeomSum import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Ring.Int import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.RingTheory.Ideal.Quotient #align_import number_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open Ideal Ideal.Quotient Finset variable {R : Type*} {n : ℕ} section CommRing variable [CommRing R] {a b x y : R} theorem dvd_geom_sum₂_iff_of_dvd_sub {x y p : R} (h : p ∣ x - y) : (p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * y ^ (n - 1) := by rw [← mem_span_singleton, ← Ideal.Quotient.eq] at h simp only [← mem_span_singleton, ← eq_zero_iff_mem, RingHom.map_geom_sum₂, h, geom_sum₂_self, _root_.map_mul, map_pow, map_natCast] #align dvd_geom_sum₂_iff_of_dvd_sub dvd_geom_sum₂_iff_of_dvd_sub theorem dvd_geom_sum₂_iff_of_dvd_sub' {x y p : R} (h : p ∣ x - y) : (p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * x ^ (n - 1) := by rw [geom_sum₂_comm, dvd_geom_sum₂_iff_of_dvd_sub]; simpa using h.neg_right #align dvd_geom_sum₂_iff_of_dvd_sub' dvd_geom_sum₂_iff_of_dvd_sub' theorem dvd_geom_sum₂_self {x y : R} (h : ↑n ∣ x - y) : ↑n ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) := (dvd_geom_sum₂_iff_of_dvd_sub h).mpr (dvd_mul_right _ _) #align dvd_geom_sum₂_self dvd_geom_sum₂_self theorem sq_dvd_add_pow_sub_sub (p x : R) (n : ℕ) : p ^ 2 ∣ (x + p) ^ n - x ^ (n - 1) * p * n - x ^ n := by cases' n with n n · simp only [pow_zero, Nat.cast_zero, sub_zero, sub_self, dvd_zero, Nat.zero_eq, mul_zero] · simp only [Nat.succ_sub_succ_eq_sub, tsub_zero, Nat.cast_succ, add_pow, Finset.sum_range_succ, Nat.choose_self, Nat.succ_sub _, tsub_self, pow_one, Nat.choose_succ_self_right, pow_zero, mul_one, Nat.cast_zero, zero_add, Nat.succ_eq_add_one, add_tsub_cancel_left] suffices p ^ 2 ∣ ∑ i ∈ range n, x ^ i * p ^ (n + 1 - i) * ↑((n + 1).choose i) by convert this; abel apply Finset.dvd_sum intro y hy calc p ^ 2 ∣ p ^ (n + 1 - y) := pow_dvd_pow p (le_tsub_of_add_le_left (by linarith [Finset.mem_range.mp hy])) _ ∣ x ^ y * p ^ (n + 1 - y) * ↑((n + 1).choose y) := dvd_mul_of_dvd_left (dvd_mul_left _ _) _ #align sq_dvd_add_pow_sub_sub sq_dvd_add_pow_sub_sub theorem not_dvd_geom_sum₂ {p : R} (hp : Prime p) (hxy : p ∣ x - y) (hx : ¬p ∣ x) (hn : ¬p ∣ n) : ¬p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) := fun h => hx <| hp.dvd_of_dvd_pow <| (hp.dvd_or_dvd <| (dvd_geom_sum₂_iff_of_dvd_sub' hxy).mp h).resolve_left hn #align not_dvd_geom_sum₂ not_dvd_geom_sum₂ variable {p : ℕ} (a b)
Mathlib/NumberTheory/Multiplicity.lean
82
146
theorem odd_sq_dvd_geom_sum₂_sub (hp : Odd p) : (p : R) ^ 2 ∣ (∑ i ∈ range p, (a + p * b) ^ i * a ^ (p - 1 - i)) - p * a ^ (p - 1) := by
have h1 : ∀ (i : ℕ), (p : R) ^ 2 ∣ (a + ↑p * b) ^ i - (a ^ (i - 1) * (↑p * b) * i + a ^ i) := by intro i calc ↑p ^ 2 ∣ (↑p * b) ^ 2 := by simp only [mul_pow, dvd_mul_right] _ ∣ (a + ↑p * b) ^ i - (a ^ (i - 1) * (↑p * b) * ↑i + a ^ i) := by simp only [sq_dvd_add_pow_sub_sub (↑p * b) a i, ← sub_sub] simp_rw [← mem_span_singleton, ← Ideal.Quotient.eq] at * let s : R := (p : R)^2 calc (Ideal.Quotient.mk (span {s})) (∑ i ∈ range p, (a + (p : R) * b) ^ i * a ^ (p - 1 - i)) = ∑ i ∈ Finset.range p, mk (span {s}) ((a ^ (i - 1) * (↑p * b) * ↑i + a ^ i) * a ^ (p - 1 - i)) := by simp_rw [RingHom.map_geom_sum₂, ← map_pow, h1, ← _root_.map_mul] _ = mk (span {s}) (∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) + mk (span {s}) (∑ x ∈ Finset.range p, a ^ (x + (p - 1 - x))) := by ring_nf simp only [← pow_add, map_add, Finset.sum_add_distrib, ← map_sum] congr simp [pow_add a, mul_assoc] _ = mk (span {s}) (∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) + mk (span {s}) (∑ _x ∈ Finset.range p, a ^ (p - 1)) := by rw [add_right_inj] have : ∀ (x : ℕ), (hx : x ∈ range p) → a ^ (x + (p - 1 - x)) = a ^ (p - 1) := by intro x hx rw [← Nat.add_sub_assoc _ x, Nat.add_sub_cancel_left] exact Nat.le_sub_one_of_lt (Finset.mem_range.mp hx) rw [Finset.sum_congr rfl this] _ = mk (span {s}) (∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) + mk (span {s}) (↑p * a ^ (p - 1)) := by simp only [add_right_inj, Finset.sum_const, Finset.card_range, nsmul_eq_mul] _ = mk (span {s}) (↑p * b * ∑ x ∈ Finset.range p, a ^ (p - 2) * x) + mk (span {s}) (↑p * a ^ (p - 1)) := by simp only [Finset.mul_sum, ← mul_assoc, ← pow_add] rw [Finset.sum_congr rfl] rintro (⟨⟩ | ⟨x⟩) hx · rw [Nat.cast_zero, mul_zero, mul_zero] · have : x.succ - 1 + (p - 1 - x.succ) = p - 2 := by rw [← Nat.add_sub_assoc (Nat.le_sub_one_of_lt (Finset.mem_range.mp hx))] exact congr_arg Nat.pred (Nat.add_sub_cancel_left _ _) rw [this] ring1 _ = mk (span {s}) (↑p * a ^ (p - 1)) := by have : Finset.sum (range p) (fun (x : ℕ) ↦ (x : R)) = ((Finset.sum (range p) (fun (x : ℕ) ↦ (x : ℕ)))) := by simp only [Nat.cast_sum] simp only [add_left_eq_self, ← Finset.mul_sum, this] norm_cast simp only [Finset.sum_range_id] norm_cast simp only [Nat.cast_mul, _root_.map_mul, Nat.mul_div_assoc p (even_iff_two_dvd.mp (Nat.Odd.sub_odd hp odd_one))] ring_nf rw [mul_assoc, mul_assoc] refine mul_eq_zero_of_left ?_ _ refine Ideal.Quotient.eq_zero_iff_mem.mpr ?_ simp [mem_span_singleton]
63
2,293,783,159,469,610,000,000,000,000
2
1.25
4
1,300
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral namespace Complex noncomputable def betaIntegral (u v : ℂ) : ℂ := ∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) #align complex.beta_integral Complex.betaIntegral theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by apply IntervalIntegrable.mul_continuousOn · refine intervalIntegral.intervalIntegrable_cpow' ?_ rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right] · apply ContinuousAt.continuousOn intro x hx rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx apply ContinuousAt.cpow · exact (continuous_const.sub continuous_ofReal).continuousAt · exact continuousAt_const · norm_cast exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2] #align complex.beta_integral_convergent_left Complex.betaIntegral_convergent_left theorem betaIntegral_convergent {u v : ℂ} (hu : 0 < re u) (hv : 0 < re v) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 1 := by refine (betaIntegral_convergent_left hu v).trans ?_ rw [IntervalIntegrable.iff_comp_neg] convert ((betaIntegral_convergent_left hv u).comp_add_right 1).symm using 1 · ext1 x conv_lhs => rw [mul_comm] congr 2 <;> · push_cast; ring · norm_num · norm_num #align complex.beta_integral_convergent Complex.betaIntegral_convergent theorem betaIntegral_symm (u v : ℂ) : betaIntegral v u = betaIntegral u v := by rw [betaIntegral, betaIntegral] have := intervalIntegral.integral_comp_mul_add (a := 0) (b := 1) (c := -1) (fun x : ℝ => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1)) neg_one_lt_zero.ne 1 rw [inv_neg, inv_one, neg_one_smul, ← intervalIntegral.integral_symm] at this simp? at this says simp only [neg_mul, one_mul, ofReal_add, ofReal_neg, ofReal_one, sub_add_cancel_right, neg_neg, mul_one, add_left_neg, mul_zero, zero_add] at this conv_lhs at this => arg 1; intro x; rw [add_comm, ← sub_eq_add_neg, mul_comm] exact this #align complex.beta_integral_symm Complex.betaIntegral_symm theorem betaIntegral_eval_one_right {u : ℂ} (hu : 0 < re u) : betaIntegral u 1 = 1 / u := by simp_rw [betaIntegral, sub_self, cpow_zero, mul_one] rw [integral_cpow (Or.inl _)] · rw [ofReal_zero, ofReal_one, one_cpow, zero_cpow, sub_zero, sub_add_cancel] rw [sub_add_cancel] contrapose! hu; rw [hu, zero_re] · rwa [sub_re, one_re, ← sub_pos, sub_neg_eq_add, sub_add_cancel] #align complex.beta_integral_eval_one_right Complex.betaIntegral_eval_one_right
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
114
132
theorem betaIntegral_scaled (s t : ℂ) {a : ℝ} (ha : 0 < a) : ∫ x in (0)..a, (x : ℂ) ^ (s - 1) * ((a : ℂ) - x) ^ (t - 1) = (a : ℂ) ^ (s + t - 1) * betaIntegral s t := by
have ha' : (a : ℂ) ≠ 0 := ofReal_ne_zero.mpr ha.ne' rw [betaIntegral] have A : (a : ℂ) ^ (s + t - 1) = a * ((a : ℂ) ^ (s - 1) * (a : ℂ) ^ (t - 1)) := by rw [(by abel : s + t - 1 = 1 + (s - 1) + (t - 1)), cpow_add _ _ ha', cpow_add 1 _ ha', cpow_one, mul_assoc] rw [A, mul_assoc, ← intervalIntegral.integral_const_mul, ← real_smul, ← zero_div a, ← div_self ha.ne', ← intervalIntegral.integral_comp_div _ ha.ne', zero_div] simp_rw [intervalIntegral.integral_of_le ha.le] refine setIntegral_congr measurableSet_Ioc fun x hx => ?_ rw [mul_mul_mul_comm] congr 1 · rw [← mul_cpow_ofReal_nonneg ha.le (div_pos hx.1 ha).le, ofReal_div, mul_div_cancel₀ _ ha'] · rw [(by norm_cast : (1 : ℂ) - ↑(x / a) = ↑(1 - x / a)), ← mul_cpow_ofReal_nonneg ha.le (sub_nonneg.mpr <| (div_le_one ha).mpr hx.2)] push_cast rw [mul_sub, mul_one, mul_div_cancel₀ _ ha']
16
8,886,110.520508
2
1.857143
7
1,923
import Mathlib.Data.Nat.Choose.Factorization import Mathlib.NumberTheory.Primorial import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.Convex.SpecificFunctions.Deriv import Mathlib.Tactic.NormNum.Prime #align_import number_theory.bertrand from "leanprover-community/mathlib"@"a16665637b378379689c566204817ae792ac8b39" section Real open Real namespace Bertrand
Mathlib/NumberTheory/Bertrand.lean
52
102
theorem real_main_inequality {x : ℝ} (x_large : (512 : ℝ) ≤ x) : x * (2 * x) ^ √(2 * x) * 4 ^ (2 * x / 3) ≤ 4 ^ x := by
let f : ℝ → ℝ := fun x => log x + √(2 * x) * log (2 * x) - log 4 / 3 * x have hf' : ∀ x, 0 < x → 0 < x * (2 * x) ^ √(2 * x) / 4 ^ (x / 3) := fun x h => div_pos (mul_pos h (rpow_pos_of_pos (mul_pos two_pos h) _)) (rpow_pos_of_pos four_pos _) have hf : ∀ x, 0 < x → f x = log (x * (2 * x) ^ √(2 * x) / 4 ^ (x / 3)) := by intro x h5 have h6 := mul_pos (zero_lt_two' ℝ) h5 have h7 := rpow_pos_of_pos h6 (√(2 * x)) rw [log_div (mul_pos h5 h7).ne' (rpow_pos_of_pos four_pos _).ne', log_mul h5.ne' h7.ne', log_rpow h6, log_rpow zero_lt_four, ← mul_div_right_comm, ← mul_div, mul_comm x] have h5 : 0 < x := lt_of_lt_of_le (by norm_num1) x_large rw [← div_le_one (rpow_pos_of_pos four_pos x), ← div_div_eq_mul_div, ← rpow_sub four_pos, ← mul_div 2 x, mul_div_left_comm, ← mul_one_sub, (by norm_num1 : (1 : ℝ) - 2 / 3 = 1 / 3), mul_one_div, ← log_nonpos_iff (hf' x h5), ← hf x h5] -- porting note (#11083): the proof was rewritten, because it was too slow have h : ConcaveOn ℝ (Set.Ioi 0.5) f := by apply ConcaveOn.sub · apply ConcaveOn.add · exact strictConcaveOn_log_Ioi.concaveOn.subset (Set.Ioi_subset_Ioi (by norm_num)) (convex_Ioi 0.5) convert ((strictConcaveOn_sqrt_mul_log_Ioi.concaveOn.comp_linearMap ((2 : ℝ) • LinearMap.id))) using 1 ext x simp only [Set.mem_Ioi, Set.mem_preimage, LinearMap.smul_apply, LinearMap.id_coe, id_eq, smul_eq_mul] rw [← mul_lt_mul_left (two_pos)] norm_num1 rfl apply ConvexOn.smul · refine div_nonneg (log_nonneg (by norm_num1)) (by norm_num1) · exact convexOn_id (convex_Ioi (0.5 : ℝ)) suffices ∃ x1 x2, 0.5 < x1 ∧ x1 < x2 ∧ x2 ≤ x ∧ 0 ≤ f x1 ∧ f x2 ≤ 0 by obtain ⟨x1, x2, h1, h2, h0, h3, h4⟩ := this exact (h.right_le_of_le_left'' h1 ((h1.trans h2).trans_le h0) h2 h0 (h4.trans h3)).trans h4 refine ⟨18, 512, by norm_num1, by norm_num1, x_large, ?_, ?_⟩ · have : √(2 * 18 : ℝ) = 6 := (sqrt_eq_iff_mul_self_eq_of_pos (by norm_num1)).mpr (by norm_num1) rw [hf _ (by norm_num1), log_nonneg_iff (by positivity), this, one_le_div (by norm_num1)] norm_num1 · have : √(2 * 512) = 32 := (sqrt_eq_iff_mul_self_eq_of_pos (by norm_num1)).mpr (by norm_num1) rw [hf _ (by norm_num1), log_nonpos_iff (hf' _ (by norm_num1)), this, div_le_one (by positivity)] conv in 512 => equals 2 ^ 9 => norm_num1 conv in 2 * 512 => equals 2 ^ 10 => norm_num1 conv in 32 => rw [← Nat.cast_ofNat] rw [rpow_natCast, ← pow_mul, ← pow_add] conv in 4 => equals 2 ^ (2 : ℝ) => rw [rpow_two]; norm_num1 rw [← rpow_mul, ← rpow_natCast] on_goal 1 => apply rpow_le_rpow_of_exponent_le all_goals norm_num1
49
1,907,346,572,495,099,800,000
2
2
1
2,159
import Mathlib.MeasureTheory.Measure.Doubling import Mathlib.MeasureTheory.Covering.Vitali import Mathlib.MeasureTheory.Covering.Differentiation #align_import measure_theory.covering.density_theorem from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" noncomputable section open Set Filter Metric MeasureTheory TopologicalSpace open scoped NNReal Topology namespace IsUnifLocDoublingMeasure variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α) [IsUnifLocDoublingMeasure μ] section variable [SecondCountableTopology α] [BorelSpace α] [IsLocallyFiniteMeasure μ] open scoped Topology irreducible_def vitaliFamily (K : ℝ) : VitaliFamily μ := by let R := scalingScaleOf μ (max (4 * K + 3) 3) have Rpos : 0 < R := scalingScaleOf_pos _ _ have A : ∀ x : α, ∃ᶠ r in 𝓝[>] (0 : ℝ), μ (closedBall x (3 * r)) ≤ scalingConstantOf μ (max (4 * K + 3) 3) * μ (closedBall x r) := by intro x apply frequently_iff.2 fun {U} hU => ?_ obtain ⟨ε, εpos, hε⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hU refine ⟨min ε R, hε ⟨lt_min εpos Rpos, min_le_left _ _⟩, ?_⟩ exact measure_mul_le_scalingConstantOf_mul μ ⟨zero_lt_three, le_max_right _ _⟩ (min_le_right _ _) exact (Vitali.vitaliFamily μ (scalingConstantOf μ (max (4 * K + 3) 3)) A).enlarge (R / 4) (by linarith) #align is_unif_loc_doubling_measure.vitali_family IsUnifLocDoublingMeasure.vitaliFamily theorem closedBall_mem_vitaliFamily_of_dist_le_mul {K : ℝ} {x y : α} {r : ℝ} (h : dist x y ≤ K * r) (rpos : 0 < r) : closedBall y r ∈ (vitaliFamily μ K).setsAt x := by let R := scalingScaleOf μ (max (4 * K + 3) 3) simp only [vitaliFamily, VitaliFamily.enlarge, Vitali.vitaliFamily, mem_union, mem_setOf_eq, isClosed_ball, true_and_iff, (nonempty_ball.2 rpos).mono ball_subset_interior_closedBall, measurableSet_closedBall] by_cases H : closedBall y r ⊆ closedBall x (R / 4) swap; · exact Or.inr H left rcases le_or_lt r R with (hr | hr) · refine ⟨(K + 1) * r, ?_⟩ constructor · apply closedBall_subset_closedBall' rw [dist_comm] linarith · have I1 : closedBall x (3 * ((K + 1) * r)) ⊆ closedBall y ((4 * K + 3) * r) := by apply closedBall_subset_closedBall' linarith have I2 : closedBall y ((4 * K + 3) * r) ⊆ closedBall y (max (4 * K + 3) 3 * r) := by apply closedBall_subset_closedBall exact mul_le_mul_of_nonneg_right (le_max_left _ _) rpos.le apply (measure_mono (I1.trans I2)).trans exact measure_mul_le_scalingConstantOf_mul _ ⟨zero_lt_three.trans_le (le_max_right _ _), le_rfl⟩ hr · refine ⟨R / 4, H, ?_⟩ have : closedBall x (3 * (R / 4)) ⊆ closedBall y r := by apply closedBall_subset_closedBall' have A : y ∈ closedBall y r := mem_closedBall_self rpos.le have B := mem_closedBall'.1 (H A) linarith apply (measure_mono this).trans _ refine le_mul_of_one_le_left (zero_le _) ?_ exact ENNReal.one_le_coe_iff.2 (le_max_right _ _) #align is_unif_loc_doubling_measure.closed_ball_mem_vitali_family_of_dist_le_mul IsUnifLocDoublingMeasure.closedBall_mem_vitaliFamily_of_dist_le_mul
Mathlib/MeasureTheory/Covering/DensityTheorem.lean
112
132
theorem tendsto_closedBall_filterAt {K : ℝ} {x : α} {ι : Type*} {l : Filter ι} (w : ι → α) (δ : ι → ℝ) (δlim : Tendsto δ l (𝓝[>] 0)) (xmem : ∀ᶠ j in l, x ∈ closedBall (w j) (K * δ j)) : Tendsto (fun j => closedBall (w j) (δ j)) l ((vitaliFamily μ K).filterAt x) := by
refine (vitaliFamily μ K).tendsto_filterAt_iff.mpr ⟨?_, fun ε hε => ?_⟩ · filter_upwards [xmem, δlim self_mem_nhdsWithin] with j hj h'j exact closedBall_mem_vitaliFamily_of_dist_le_mul μ hj h'j · rcases l.eq_or_neBot with rfl | h · simp have hK : 0 ≤ K := by rcases (xmem.and (δlim self_mem_nhdsWithin)).exists with ⟨j, hj, h'j⟩ have : 0 ≤ K * δ j := nonempty_closedBall.1 ⟨x, hj⟩ exact (mul_nonneg_iff_left_nonneg_of_pos (mem_Ioi.1 h'j)).1 this have δpos := eventually_mem_of_tendsto_nhdsWithin δlim replace δlim := tendsto_nhds_of_tendsto_nhdsWithin δlim replace hK : 0 < K + 1 := by linarith apply (((Metric.tendsto_nhds.mp δlim _ (div_pos hε hK)).and δpos).and xmem).mono rintro j ⟨⟨hjε, hj₀ : 0 < δ j⟩, hx⟩ y hy replace hjε : (K + 1) * δ j < ε := by simpa [abs_eq_self.mpr hj₀.le] using (lt_div_iff' hK).mp hjε simp only [mem_closedBall] at hx hy ⊢ linarith [dist_triangle_right y x (w j)]
18
65,659,969.137331
2
2
2
1,937
import Mathlib.Data.Set.Pairwise.Basic import Mathlib.Data.Set.Lattice import Mathlib.Data.SetLike.Basic #align_import order.chain from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" open scoped Classical open Set variable {α β : Type*} section Chain variable (r : α → α → Prop) local infixl:50 " ≺ " => r def IsChain (s : Set α) : Prop := s.Pairwise fun x y => x ≺ y ∨ y ≺ x #align is_chain IsChain def SuperChain (s t : Set α) : Prop := IsChain r t ∧ s ⊂ t #align super_chain SuperChain def IsMaxChain (s : Set α) : Prop := IsChain r s ∧ ∀ ⦃t⦄, IsChain r t → s ⊆ t → s = t #align is_max_chain IsMaxChain variable {r} {c c₁ c₂ c₃ s t : Set α} {a b x y : α} theorem isChain_empty : IsChain r ∅ := Set.pairwise_empty _ #align is_chain_empty isChain_empty theorem Set.Subsingleton.isChain (hs : s.Subsingleton) : IsChain r s := hs.pairwise _ #align set.subsingleton.is_chain Set.Subsingleton.isChain theorem IsChain.mono : s ⊆ t → IsChain r t → IsChain r s := Set.Pairwise.mono #align is_chain.mono IsChain.mono theorem IsChain.mono_rel {r' : α → α → Prop} (h : IsChain r s) (h_imp : ∀ x y, r x y → r' x y) : IsChain r' s := h.mono' fun x y => Or.imp (h_imp x y) (h_imp y x) #align is_chain.mono_rel IsChain.mono_rel theorem IsChain.symm (h : IsChain r s) : IsChain (flip r) s := h.mono' fun _ _ => Or.symm #align is_chain.symm IsChain.symm theorem isChain_of_trichotomous [IsTrichotomous α r] (s : Set α) : IsChain r s := fun a _ b _ hab => (trichotomous_of r a b).imp_right fun h => h.resolve_left hab #align is_chain_of_trichotomous isChain_of_trichotomous protected theorem IsChain.insert (hs : IsChain r s) (ha : ∀ b ∈ s, a ≠ b → a ≺ b ∨ b ≺ a) : IsChain r (insert a s) := hs.insert_of_symmetric (fun _ _ => Or.symm) ha #align is_chain.insert IsChain.insert theorem isChain_univ_iff : IsChain r (univ : Set α) ↔ IsTrichotomous α r := by refine ⟨fun h => ⟨fun a b => ?_⟩, fun h => @isChain_of_trichotomous _ _ h univ⟩ rw [or_left_comm, or_iff_not_imp_left] exact h trivial trivial #align is_chain_univ_iff isChain_univ_iff theorem IsChain.image (r : α → α → Prop) (s : β → β → Prop) (f : α → β) (h : ∀ x y, r x y → s (f x) (f y)) {c : Set α} (hrc : IsChain r c) : IsChain s (f '' c) := fun _ ⟨_, ha₁, ha₂⟩ _ ⟨_, hb₁, hb₂⟩ => ha₂ ▸ hb₂ ▸ fun hxy => (hrc ha₁ hb₁ <| ne_of_apply_ne f hxy).imp (h _ _) (h _ _) #align is_chain.image IsChain.image theorem Monotone.isChain_range [LinearOrder α] [Preorder β] {f : α → β} (hf : Monotone f) : IsChain (· ≤ ·) (range f) := by rw [← image_univ] exact (isChain_of_trichotomous _).image (· ≤ ·) _ _ hf theorem IsChain.lt_of_le [PartialOrder α] {s : Set α} (h : IsChain (· ≤ ·) s) : IsChain (· < ·) s := fun _a ha _b hb hne ↦ (h ha hb hne).imp hne.lt_of_le hne.lt_of_le' section Total variable [IsRefl α r] theorem IsChain.total (h : IsChain r s) (hx : x ∈ s) (hy : y ∈ s) : x ≺ y ∨ y ≺ x := (eq_or_ne x y).elim (fun e => Or.inl <| e ▸ refl _) (h hx hy) #align is_chain.total IsChain.total theorem IsChain.directedOn (H : IsChain r s) : DirectedOn r s := fun x hx y hy => ((H.total hx hy).elim fun h => ⟨y, hy, h, refl _⟩) fun h => ⟨x, hx, refl _, h⟩ #align is_chain.directed_on IsChain.directedOn protected theorem IsChain.directed {f : β → α} {c : Set β} (h : IsChain (f ⁻¹'o r) c) : Directed r fun x : { a : β // a ∈ c } => f x := fun ⟨a, ha⟩ ⟨b, hb⟩ => (by_cases fun hab : a = b => by simp only [hab, exists_prop, and_self_iff, Subtype.exists] exact ⟨b, hb, refl _⟩) fun hab => ((h ha hb hab).elim fun h => ⟨⟨b, hb⟩, h, refl _⟩) fun h => ⟨⟨a, ha⟩, refl _, h⟩ #align is_chain.directed IsChain.directed
Mathlib/Order/Chain.lean
137
142
theorem IsChain.exists3 (hchain : IsChain r s) [IsTrans α r] {a b c} (mem1 : a ∈ s) (mem2 : b ∈ s) (mem3 : c ∈ s) : ∃ (z : _) (_ : z ∈ s), r a z ∧ r b z ∧ r c z := by
rcases directedOn_iff_directed.mpr (IsChain.directed hchain) a mem1 b mem2 with ⟨z, mem4, H1, H2⟩ rcases directedOn_iff_directed.mpr (IsChain.directed hchain) z mem4 c mem3 with ⟨z', mem5, H3, H4⟩ exact ⟨z', mem5, _root_.trans H1 H3, _root_.trans H2 H3, H4⟩
4
54.59815
2
1.2
5
1,280
import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.compression.uv from "leanprover-community/mathlib"@"6f8ab7de1c4b78a68ab8cf7dd83d549eb78a68a1" open Finset variable {α : Type*}
Mathlib/Combinatorics/SetFamily/Compression/UV.lean
57
64
theorem sup_sdiff_injOn [GeneralizedBooleanAlgebra α] (u v : α) : { x | Disjoint u x ∧ v ≤ x }.InjOn fun x => (x ⊔ u) \ v := by
rintro a ha b hb hab have h : ((a ⊔ u) \ v) \ u ⊔ v = ((b ⊔ u) \ v) \ u ⊔ v := by dsimp at hab rw [hab] rwa [sdiff_sdiff_comm, ha.1.symm.sup_sdiff_cancel_right, sdiff_sdiff_comm, hb.1.symm.sup_sdiff_cancel_right, sdiff_sup_cancel ha.2, sdiff_sup_cancel hb.2] at h
6
403.428793
2
1.6
10
1,727
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
Mathlib/Data/Matrix/PEquiv.lean
62
67
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]
4
54.59815
2
1.2
10
1,267
import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Perm.Basic import Mathlib.Tactic.Ring #align_import data.fintype.perm from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" open Function open Nat universe u v variable {α β γ : Type*} open Finset Function List Equiv Equiv.Perm variable [DecidableEq α] [DecidableEq β] def permsOfList : List α → List (Perm α) | [] => [1] | a :: l => permsOfList l ++ l.bind fun b => (permsOfList l).map fun f => Equiv.swap a b * f #align perms_of_list permsOfList theorem length_permsOfList : ∀ l : List α, length (permsOfList l) = l.length ! | [] => rfl | a :: l => by rw [length_cons, Nat.factorial_succ] simp only [permsOfList, length_append, length_permsOfList, length_bind, comp, length_map, map_const', sum_replicate, smul_eq_mul, succ_mul] ring #align length_perms_of_list length_permsOfList
Mathlib/Data/Fintype/Perm.lean
47
74
theorem mem_permsOfList_of_mem {l : List α} {f : Perm α} (h : ∀ x, f x ≠ x → x ∈ l) : f ∈ permsOfList l := by
induction l generalizing f with | nil => -- Porting note: applied `not_mem_nil` because it is no longer true definitionally. simp only [not_mem_nil] at h exact List.mem_singleton.2 (Equiv.ext fun x => Decidable.by_contradiction <| h x) | cons a l IH => by_cases hfa : f a = a · refine mem_append_left _ (IH fun x hx => mem_of_ne_of_mem ?_ (h x hx)) rintro rfl exact hx hfa have hfa' : f (f a) ≠ f a := mt (fun h => f.injective h) hfa have : ∀ x : α, (Equiv.swap a (f a) * f) x ≠ x → x ∈ l := by intro x hx have hxa : x ≠ a := by rintro rfl apply hx simp only [mul_apply, swap_apply_right] refine List.mem_of_ne_of_mem hxa (h x fun h => ?_) simp only [mul_apply, swap_apply_def, mul_apply, Ne, apply_eq_iff_eq] at hx split_ifs at hx with h_1 exacts [hxa (h.symm.trans h_1), hx h] suffices f ∈ permsOfList l ∨ ∃ b ∈ l, ∃ g ∈ permsOfList l, Equiv.swap a b * g = f by simpa only [permsOfList, exists_prop, List.mem_map, mem_append, List.mem_bind] refine or_iff_not_imp_left.2 fun _hfl => ⟨f a, ?_, Equiv.swap a (f a) * f, IH this, ?_⟩ · exact mem_of_ne_of_mem hfa (h _ hfa') · rw [← mul_assoc, mul_def (swap a (f a)) (swap a (f a)), swap_swap, ← Perm.one_def, one_mul]
26
195,729,609,428.83878
2
2
3
2,129
import Mathlib.Order.Bounds.Basic import Mathlib.Order.WellFounded import Mathlib.Data.Set.Image import Mathlib.Order.Interval.Set.Basic import Mathlib.Data.Set.Lattice #align_import order.conditionally_complete_lattice.basic from "leanprover-community/mathlib"@"29cb56a7b35f72758b05a30490e1f10bd62c35c1" open Function OrderDual Set variable {α β γ : Type*} {ι : Sort*} section variable [Preorder α] open scoped Classical noncomputable instance WithTop.instSupSet [SupSet α] : SupSet (WithTop α) := ⟨fun S => if ⊤ ∈ S then ⊤ else if BddAbove ((fun (a : α) ↦ ↑a) ⁻¹' S : Set α) then ↑(sSup ((fun (a : α) ↦ (a : WithTop α)) ⁻¹' S : Set α)) else ⊤⟩ noncomputable instance WithTop.instInfSet [InfSet α] : InfSet (WithTop α) := ⟨fun S => if S ⊆ {⊤} ∨ ¬BddBelow S then ⊤ else ↑(sInf ((fun (a : α) ↦ ↑a) ⁻¹' S : Set α))⟩ noncomputable instance WithBot.instSupSet [SupSet α] : SupSet (WithBot α) := ⟨(WithTop.instInfSet (α := αᵒᵈ)).sInf⟩ noncomputable instance WithBot.instInfSet [InfSet α] : InfSet (WithBot α) := ⟨(WithTop.instSupSet (α := αᵒᵈ)).sSup⟩ theorem WithTop.sSup_eq [SupSet α] {s : Set (WithTop α)} (hs : ⊤ ∉ s) (hs' : BddAbove ((↑) ⁻¹' s : Set α)) : sSup s = ↑(sSup ((↑) ⁻¹' s) : α) := (if_neg hs).trans <| if_pos hs' #align with_top.Sup_eq WithTop.sSup_eq theorem WithTop.sInf_eq [InfSet α] {s : Set (WithTop α)} (hs : ¬s ⊆ {⊤}) (h's : BddBelow s) : sInf s = ↑(sInf ((↑) ⁻¹' s) : α) := if_neg <| by simp [hs, h's] #align with_top.Inf_eq WithTop.sInf_eq theorem WithBot.sInf_eq [InfSet α] {s : Set (WithBot α)} (hs : ⊥ ∉ s) (hs' : BddBelow ((↑) ⁻¹' s : Set α)) : sInf s = ↑(sInf ((↑) ⁻¹' s) : α) := (if_neg hs).trans <| if_pos hs' #align with_bot.Inf_eq WithBot.sInf_eq theorem WithBot.sSup_eq [SupSet α] {s : Set (WithBot α)} (hs : ¬s ⊆ {⊥}) (h's : BddAbove s) : sSup s = ↑(sSup ((↑) ⁻¹' s) : α) := WithTop.sInf_eq (α := αᵒᵈ) hs h's #align with_bot.Sup_eq WithBot.sSup_eq @[simp] theorem WithTop.sInf_empty [InfSet α] : sInf (∅ : Set (WithTop α)) = ⊤ := if_pos <| by simp #align with_top.cInf_empty WithTop.sInf_empty @[simp] theorem WithTop.iInf_empty [IsEmpty ι] [InfSet α] (f : ι → WithTop α) : ⨅ i, f i = ⊤ := by rw [iInf, range_eq_empty, WithTop.sInf_empty] #align with_top.cinfi_empty WithTop.iInf_empty
Mathlib/Order/ConditionallyCompleteLattice/Basic.lean
95
104
theorem WithTop.coe_sInf' [InfSet α] {s : Set α} (hs : s.Nonempty) (h's : BddBelow s) : ↑(sInf s) = (sInf ((fun (a : α) ↦ ↑a) '' s) : WithTop α) := by
obtain ⟨x, hx⟩ := hs change _ = ite _ _ _ split_ifs with h · rcases h with h1 | h2 · cases h1 (mem_image_of_mem _ hx) · exact (h2 (Monotone.map_bddBelow coe_mono h's)).elim · rw [preimage_image_eq] exact Option.some_injective _
8
2,980.957987
2
1
5
871
import Mathlib.Analysis.SpecialFunctions.Complex.Log #align_import analysis.special_functions.pow.complex from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" open scoped Classical open Real Topology Filter ComplexConjugate Finset Set namespace Complex noncomputable def cpow (x y : ℂ) : ℂ := if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) #align complex.cpow Complex.cpow noncomputable instance : Pow ℂ ℂ := ⟨cpow⟩ @[simp] theorem cpow_eq_pow (x y : ℂ) : cpow x y = x ^ y := rfl #align complex.cpow_eq_pow Complex.cpow_eq_pow theorem cpow_def (x y : ℂ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := rfl #align complex.cpow_def Complex.cpow_def theorem cpow_def_of_ne_zero {x : ℂ} (hx : x ≠ 0) (y : ℂ) : x ^ y = exp (log x * y) := if_neg hx #align complex.cpow_def_of_ne_zero Complex.cpow_def_of_ne_zero @[simp] theorem cpow_zero (x : ℂ) : x ^ (0 : ℂ) = 1 := by simp [cpow_def] #align complex.cpow_zero Complex.cpow_zero @[simp] theorem cpow_eq_zero_iff (x y : ℂ) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by simp only [cpow_def] split_ifs <;> simp [*, exp_ne_zero] #align complex.cpow_eq_zero_iff Complex.cpow_eq_zero_iff @[simp] theorem zero_cpow {x : ℂ} (h : x ≠ 0) : (0 : ℂ) ^ x = 0 := by simp [cpow_def, *] #align complex.zero_cpow Complex.zero_cpow
Mathlib/Analysis/SpecialFunctions/Pow/Complex.lean
58
72
theorem zero_cpow_eq_iff {x : ℂ} {a : ℂ} : (0 : ℂ) ^ x = a ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
constructor · intro hyp simp only [cpow_def, eq_self_iff_true, if_true] at hyp by_cases h : x = 0 · subst h simp only [if_true, eq_self_iff_true] at hyp right exact ⟨rfl, hyp.symm⟩ · rw [if_neg h] at hyp left exact ⟨h, hyp.symm⟩ · rintro (⟨h, rfl⟩ | ⟨rfl, rfl⟩) · exact zero_cpow h · exact cpow_zero _
14
1,202,604.284165
2
0.636364
11
551
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff import Mathlib.FieldTheory.Finite.Basic import Mathlib.Data.Matrix.CharP #align_import linear_algebra.matrix.charpoly.finite_field from "leanprover-community/mathlib"@"b95b8c7a484a298228805c72c142f6b062eb0d70" noncomputable section open Polynomial Matrix open scoped Polynomial variable {n : Type*} [DecidableEq n] [Fintype n] @[simp]
Mathlib/LinearAlgebra/Matrix/Charpoly/FiniteField.lean
26
43
theorem FiniteField.Matrix.charpoly_pow_card {K : Type*} [Field K] [Fintype K] (M : Matrix n n K) : (M ^ Fintype.card K).charpoly = M.charpoly := by
cases (isEmpty_or_nonempty n).symm · cases' CharP.exists K with p hp; letI := hp rcases FiniteField.card K p with ⟨⟨k, kpos⟩, ⟨hp, hk⟩⟩ haveI : Fact p.Prime := ⟨hp⟩ dsimp at hk; rw [hk] apply (frobenius_inj K[X] p).iterate k repeat' rw [iterate_frobenius (R := K[X])]; rw [← hk] rw [← FiniteField.expand_card] unfold charpoly rw [AlgHom.map_det, ← coe_detMonoidHom, ← (detMonoidHom : Matrix n n K[X] →* K[X]).map_pow] apply congr_arg det refine matPolyEquiv.injective ?_ rw [AlgEquiv.map_pow, matPolyEquiv_charmatrix, hk, sub_pow_char_pow_of_commute, ← C_pow] · exact (id (matPolyEquiv_eq_X_pow_sub_C (p ^ k) M) : _) · exact (C M).commute_X · exact congr_arg _ (Subsingleton.elim _ _)
16
8,886,110.520508
2
1.25
4
1,317
import Mathlib.CategoryTheory.Comma.StructuredArrow import Mathlib.CategoryTheory.IsConnected import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Terminal import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.CategoryTheory.PUnit #align_import category_theory.limits.final from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b" noncomputable section universe v v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory namespace Functor open Opposite open CategoryTheory.Limits section ArbitraryUniverse variable {C : Type u₁} [Category.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] class Final (F : C ⥤ D) : Prop where out (d : D) : IsConnected (StructuredArrow d F) #align category_theory.functor.final CategoryTheory.Functor.Final attribute [instance] Final.out class Initial (F : C ⥤ D) : Prop where out (d : D) : IsConnected (CostructuredArrow F d) #align category_theory.functor.initial CategoryTheory.Functor.Initial attribute [instance] Initial.out instance final_op_of_initial (F : C ⥤ D) [Initial F] : Final F.op where out d := isConnected_of_equivalent (costructuredArrowOpEquivalence F (unop d)) #align category_theory.functor.final_op_of_initial CategoryTheory.Functor.final_op_of_initial instance initial_op_of_final (F : C ⥤ D) [Final F] : Initial F.op where out d := isConnected_of_equivalent (structuredArrowOpEquivalence F (unop d)) #align category_theory.functor.initial_op_of_final CategoryTheory.Functor.initial_op_of_final theorem final_of_initial_op (F : C ⥤ D) [Initial F.op] : Final F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (structuredArrowOpEquivalence F d).symm) } #align category_theory.functor.final_of_initial_op CategoryTheory.Functor.final_of_initial_op theorem initial_of_final_op (F : C ⥤ D) [Final F.op] : Initial F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (costructuredArrowOpEquivalence F d).symm) } #align category_theory.functor.initial_of_final_op CategoryTheory.Functor.initial_of_final_op theorem final_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Final R := { out := fun c => let u : StructuredArrow c R := StructuredArrow.mk (adj.unit.app c) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inr ⟨StructuredArrow.homMk ((adj.homEquiv c f.right).symm f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inl ⟨StructuredArrow.homMk ((adj.homEquiv c g.right).symm g.hom) (by simp [u])⟩)) } #align category_theory.functor.final_of_adjunction CategoryTheory.Functor.final_of_adjunction theorem initial_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Initial L := { out := fun d => let u : CostructuredArrow L d := CostructuredArrow.mk (adj.counit.app d) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inl ⟨CostructuredArrow.homMk (adj.homEquiv f.left d f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inr ⟨CostructuredArrow.homMk (adj.homEquiv g.left d g.hom) (by simp [u])⟩)) } #align category_theory.functor.initial_of_adjunction CategoryTheory.Functor.initial_of_adjunction instance (priority := 100) final_of_isRightAdjoint (F : C ⥤ D) [IsRightAdjoint F] : Final F := final_of_adjunction (Adjunction.ofIsRightAdjoint F) #align category_theory.functor.final_of_is_right_adjoint CategoryTheory.Functor.final_of_isRightAdjoint instance (priority := 100) initial_of_isLeftAdjoint (F : C ⥤ D) [IsLeftAdjoint F] : Initial F := initial_of_adjunction (Adjunction.ofIsLeftAdjoint F) #align category_theory.functor.initial_of_is_left_adjoint CategoryTheory.Functor.initial_of_isLeftAdjoint theorem final_of_natIso {F F' : C ⥤ D} [Final F] (i : F ≅ F') : Final F' where out _ := isConnected_of_equivalent (StructuredArrow.mapNatIso i) theorem final_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Final F ↔ Final F' := ⟨fun _ => final_of_natIso i, fun _ => final_of_natIso i.symm⟩ theorem initial_of_natIso {F F' : C ⥤ D} [Initial F] (i : F ≅ F') : Initial F' where out _ := isConnected_of_equivalent (CostructuredArrow.mapNatIso i) theorem initial_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Initial F ↔ Initial F' := ⟨fun _ => initial_of_natIso i, fun _ => initial_of_natIso i.symm⟩ section LocallySmall variable {C : Type v} [Category.{v} C] {D : Type u₁} [Category.{v} D] (F : C ⥤ D) namespace Final
Mathlib/CategoryTheory/Limits/Final.lean
386
404
theorem zigzag_of_eqvGen_quot_rel {F : C ⥤ D} {d : D} {f₁ f₂ : ΣX, d ⟶ F.obj X} (t : EqvGen (Types.Quot.Rel.{v, v} (F ⋙ coyoneda.obj (op d))) f₁ f₂) : Zigzag (StructuredArrow.mk f₁.2) (StructuredArrow.mk f₂.2) := by
induction t with | rel x y r => obtain ⟨f, w⟩ := r fconstructor swap · fconstructor left; fconstructor exact StructuredArrow.homMk f | refl => fconstructor | symm x y _ ih => apply zigzag_symmetric exact ih | trans x y z _ _ ih₁ ih₂ => apply Relation.ReflTransGen.trans · exact ih₁ · exact ih₂
16
8,886,110.520508
2
2
1
1,953
import Mathlib.Analysis.Calculus.MeanValue import Mathlib.Analysis.NormedSpace.RCLike import Mathlib.Order.Filter.Curry #align_import analysis.calculus.uniform_limits_deriv from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" open Filter open scoped uniformity Filter Topology section LimitsOfDerivatives variable {ι : Type*} {l : Filter ι} {E : Type*} [NormedAddCommGroup E] {𝕜 : Type*} [RCLike 𝕜] [NormedSpace 𝕜 E] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {f : ι → E → G} {g : E → G} {f' : ι → E → E →L[𝕜] G} {g' : E → E →L[𝕜] G} {x : E} theorem uniformCauchySeqOnFilter_of_fderiv (hf' : UniformCauchySeqOnFilter f' l (𝓝 x)) (hf : ∀ᶠ n : ι × E in l ×ˢ 𝓝 x, HasFDerivAt (f n.1) (f' n.1 n.2) n.2) (hfg : Cauchy (map (fun n => f n x) l)) : UniformCauchySeqOnFilter f l (𝓝 x) := by letI : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _ rw [SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero] at hf' ⊢ suffices TendstoUniformlyOnFilter (fun (n : ι × ι) (z : E) => f n.1 z - f n.2 z - (f n.1 x - f n.2 x)) 0 (l ×ˢ l) (𝓝 x) ∧ TendstoUniformlyOnFilter (fun (n : ι × ι) (_ : E) => f n.1 x - f n.2 x) 0 (l ×ˢ l) (𝓝 x) by have := this.1.add this.2 rw [add_zero] at this exact this.congr (by simp) constructor · -- This inequality follows from the mean value theorem. To apply it, we will need to shrink our -- neighborhood to small enough ball rw [Metric.tendstoUniformlyOnFilter_iff] at hf' ⊢ intro ε hε have := (tendsto_swap4_prod.eventually (hf.prod_mk hf)).diag_of_prod_right obtain ⟨a, b, c, d, e⟩ := eventually_prod_iff.1 ((hf' ε hε).and this) obtain ⟨R, hR, hR'⟩ := Metric.nhds_basis_ball.eventually_iff.mp d let r := min 1 R have hr : 0 < r := by simp [r, hR] have hr' : ∀ ⦃y : E⦄, y ∈ Metric.ball x r → c y := fun y hy => hR' (lt_of_lt_of_le (Metric.mem_ball.mp hy) (min_le_right _ _)) have hxy : ∀ y : E, y ∈ Metric.ball x r → ‖y - x‖ < 1 := by intro y hy rw [Metric.mem_ball, dist_eq_norm] at hy exact lt_of_lt_of_le hy (min_le_left _ _) have hxyε : ∀ y : E, y ∈ Metric.ball x r → ε * ‖y - x‖ < ε := by intro y hy exact (mul_lt_iff_lt_one_right hε.lt).mpr (hxy y hy) -- With a small ball in hand, apply the mean value theorem refine eventually_prod_iff.mpr ⟨_, b, fun e : E => Metric.ball x r e, eventually_mem_set.mpr (Metric.nhds_basis_ball.mem_of_mem hr), fun {n} hn {y} hy => ?_⟩ simp only [Pi.zero_apply, dist_zero_left] at e ⊢ refine lt_of_le_of_lt ?_ (hxyε y hy) exact Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le (fun y hy => ((e hn (hr' hy)).2.1.sub (e hn (hr' hy)).2.2).hasFDerivWithinAt) (fun y hy => (e hn (hr' hy)).1.le) (convex_ball x r) (Metric.mem_ball_self hr) hy · -- This is just `hfg` run through `eventually_prod_iff` refine Metric.tendstoUniformlyOnFilter_iff.mpr fun ε hε => ?_ obtain ⟨t, ht, ht'⟩ := (Metric.cauchy_iff.mp hfg).2 ε hε exact eventually_prod_iff.mpr ⟨fun n : ι × ι => f n.1 x ∈ t ∧ f n.2 x ∈ t, eventually_prod_iff.mpr ⟨_, ht, _, ht, fun {n} hn {n'} hn' => ⟨hn, hn'⟩⟩, fun _ => True, by simp, fun {n} hn {y} _ => by simpa [norm_sub_rev, dist_eq_norm] using ht' _ hn.1 _ hn.2⟩ #align uniform_cauchy_seq_on_filter_of_fderiv uniformCauchySeqOnFilter_of_fderiv
Mathlib/Analysis/Calculus/UniformLimitsDeriv.lean
176
220
theorem uniformCauchySeqOn_ball_of_fderiv {r : ℝ} (hf' : UniformCauchySeqOn f' l (Metric.ball x r)) (hf : ∀ n : ι, ∀ y : E, y ∈ Metric.ball x r → HasFDerivAt (f n) (f' n y) y) (hfg : Cauchy (map (fun n => f n x) l)) : UniformCauchySeqOn f l (Metric.ball x r) := by
letI : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _ have : NeBot l := (cauchy_map_iff.1 hfg).1 rcases le_or_lt r 0 with (hr | hr) · simp only [Metric.ball_eq_empty.2 hr, UniformCauchySeqOn, Set.mem_empty_iff_false, IsEmpty.forall_iff, eventually_const, imp_true_iff] rw [SeminormedAddGroup.uniformCauchySeqOn_iff_tendstoUniformlyOn_zero] at hf' ⊢ suffices TendstoUniformlyOn (fun (n : ι × ι) (z : E) => f n.1 z - f n.2 z - (f n.1 x - f n.2 x)) 0 (l ×ˢ l) (Metric.ball x r) ∧ TendstoUniformlyOn (fun (n : ι × ι) (_ : E) => f n.1 x - f n.2 x) 0 (l ×ˢ l) (Metric.ball x r) by have := this.1.add this.2 rw [add_zero] at this refine this.congr ?_ filter_upwards with n z _ using (by simp) constructor · -- This inequality follows from the mean value theorem rw [Metric.tendstoUniformlyOn_iff] at hf' ⊢ intro ε hε obtain ⟨q, hqpos, hq⟩ : ∃ q : ℝ, 0 < q ∧ q * r < ε := by simp_rw [mul_comm] exact exists_pos_mul_lt hε.lt r apply (hf' q hqpos.gt).mono intro n hn y hy simp_rw [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg] at hn ⊢ have mvt := Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le (fun z hz => ((hf n.1 z hz).sub (hf n.2 z hz)).hasFDerivWithinAt) (fun z hz => (hn z hz).le) (convex_ball x r) (Metric.mem_ball_self hr) hy refine lt_of_le_of_lt mvt ?_ have : q * ‖y - x‖ < q * r := mul_lt_mul' rfl.le (by simpa only [dist_eq_norm] using Metric.mem_ball.mp hy) (norm_nonneg _) hqpos exact this.trans hq · -- This is just `hfg` run through `eventually_prod_iff` refine Metric.tendstoUniformlyOn_iff.mpr fun ε hε => ?_ obtain ⟨t, ht, ht'⟩ := (Metric.cauchy_iff.mp hfg).2 ε hε rw [eventually_prod_iff] refine ⟨fun n => f n x ∈ t, ht, fun n => f n x ∈ t, ht, ?_⟩ intro n hn n' hn' z _ rw [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg, ← dist_eq_norm] exact ht' _ hn _ hn'
42
1,739,274,941,520,501,200
2
2
3
2,460
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.CategoryTheory.Preadditive.FunctorCategory import Mathlib.CategoryTheory.Sites.SheafOfTypes import Mathlib.CategoryTheory.Sites.EqualizerSheafCondition #align_import category_theory.sites.sheaf from "leanprover-community/mathlib"@"2efd2423f8d25fa57cf7a179f5d8652ab4d0df44" universe w v₁ v₂ v₃ u₁ u₂ u₃ noncomputable section namespace CategoryTheory open Opposite CategoryTheory Category Limits Sieve namespace Presheaf variable {C : Type u₁} [Category.{v₁} C] variable {A : Type u₂} [Category.{v₂} A] variable (J : GrothendieckTopology C) -- We follow https://stacks.math.columbia.edu/tag/00VL definition 00VR def IsSheaf (P : Cᵒᵖ ⥤ A) : Prop := ∀ E : A, Presieve.IsSheaf J (P ⋙ coyoneda.obj (op E)) #align category_theory.presheaf.is_sheaf CategoryTheory.Presheaf.IsSheaf attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike in def IsSeparated (P : Cᵒᵖ ⥤ A) [ConcreteCategory A] : Prop := ∀ (X : C) (S : Sieve X) (_ : S ∈ J X) (x y : P.obj (op X)), (∀ (Y : C) (f : Y ⟶ X) (_ : S f), P.map f.op x = P.map f.op y) → x = y section LimitSheafCondition open Presieve Presieve.FamilyOfElements Limits variable (P : Cᵒᵖ ⥤ A) {X : C} (S : Sieve X) (R : Presieve X) (E : Aᵒᵖ) @[simps] def conesEquivSieveCompatibleFamily : (S.arrows.diagram.op ⋙ P).cones.obj E ≃ { x : FamilyOfElements (P ⋙ coyoneda.obj E) (S : Presieve X) // x.SieveCompatible } where toFun π := ⟨fun Y f h => π.app (op ⟨Over.mk f, h⟩), fun X Y f g hf => by apply (id_comp _).symm.trans dsimp exact π.naturality (Quiver.Hom.op (Over.homMk _ (by rfl)))⟩ invFun x := { app := fun f => x.1 f.unop.1.hom f.unop.2 naturality := fun f f' g => by refine Eq.trans ?_ (x.2 f.unop.1.hom g.unop.left f.unop.2) dsimp rw [id_comp] convert rfl rw [Over.w] } left_inv π := rfl right_inv x := rfl #align category_theory.presheaf.cones_equiv_sieve_compatible_family CategoryTheory.Presheaf.conesEquivSieveCompatibleFamily -- These lemmas have always been bad (#7657), but leanprover/lean4#2644 made `simp` start noticing attribute [nolint simpNF] CategoryTheory.Presheaf.conesEquivSieveCompatibleFamily_apply_coe CategoryTheory.Presheaf.conesEquivSieveCompatibleFamily_symm_apply_app variable {P S E} {x : FamilyOfElements (P ⋙ coyoneda.obj E) S.arrows} (hx : SieveCompatible x) @[simp] def _root_.CategoryTheory.Presieve.FamilyOfElements.SieveCompatible.cone : Cone (S.arrows.diagram.op ⋙ P) where pt := E.unop π := (conesEquivSieveCompatibleFamily P S E).invFun ⟨x, hx⟩ #align category_theory.presieve.family_of_elements.sieve_compatible.cone CategoryTheory.Presieve.FamilyOfElements.SieveCompatible.cone def homEquivAmalgamation : (hx.cone ⟶ P.mapCone S.arrows.cocone.op) ≃ { t // x.IsAmalgamation t } where toFun l := ⟨l.hom, fun _ f hf => l.w (op ⟨Over.mk f, hf⟩)⟩ invFun t := ⟨t.1, fun f => t.2 f.unop.1.hom f.unop.2⟩ left_inv _ := rfl right_inv _ := rfl #align category_theory.presheaf.hom_equiv_amalgamation CategoryTheory.Presheaf.homEquivAmalgamation variable (P S) theorem isLimit_iff_isSheafFor : Nonempty (IsLimit (P.mapCone S.arrows.cocone.op)) ↔ ∀ E : Aᵒᵖ, IsSheafFor (P ⋙ coyoneda.obj E) S.arrows := by dsimp [IsSheafFor]; simp_rw [compatible_iff_sieveCompatible] rw [((Cone.isLimitEquivIsTerminal _).trans (isTerminalEquivUnique _ _)).nonempty_congr] rw [Classical.nonempty_pi]; constructor · intro hu E x hx specialize hu hx.cone erw [(homEquivAmalgamation hx).uniqueCongr.nonempty_congr] at hu exact (unique_subtype_iff_exists_unique _).1 hu · rintro h ⟨E, π⟩ let eqv := conesEquivSieveCompatibleFamily P S (op E) rw [← eqv.left_inv π] erw [(homEquivAmalgamation (eqv π).2).uniqueCongr.nonempty_congr] rw [unique_subtype_iff_exists_unique] exact h _ _ (eqv π).2 #align category_theory.presheaf.is_limit_iff_is_sheaf_for CategoryTheory.Presheaf.isLimit_iff_isSheafFor
Mathlib/CategoryTheory/Sites/Sheaf.lean
168
187
theorem subsingleton_iff_isSeparatedFor : (∀ c, Subsingleton (c ⟶ P.mapCone S.arrows.cocone.op)) ↔ ∀ E : Aᵒᵖ, IsSeparatedFor (P ⋙ coyoneda.obj E) S.arrows := by
constructor · intro hs E x t₁ t₂ h₁ h₂ have hx := is_compatible_of_exists_amalgamation x ⟨t₁, h₁⟩ rw [compatible_iff_sieveCompatible] at hx specialize hs hx.cone rcases hs with ⟨hs⟩ simpa only [Subtype.mk.injEq] using (show Subtype.mk t₁ h₁ = ⟨t₂, h₂⟩ from (homEquivAmalgamation hx).symm.injective (hs _ _)) · rintro h ⟨E, π⟩ let eqv := conesEquivSieveCompatibleFamily P S (op E) constructor rw [← eqv.left_inv π] intro f₁ f₂ let eqv' := homEquivAmalgamation (eqv π).2 apply eqv'.injective ext apply h _ (eqv π).1 <;> exact (eqv' _).2
17
24,154,952.753575
2
2
3
2,447
import Mathlib.Geometry.Manifold.PartitionOfUnity import Mathlib.Geometry.Manifold.Metrizable import Mathlib.MeasureTheory.Function.AEEqOfIntegral open MeasureTheory Filter Metric Function Set TopologicalSpace open scoped Topology Manifold variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] section Manifold variable {H : Type*} [TopologicalSpace H] (I : ModelWithCorners ℝ E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] [MeasurableSpace M] [BorelSpace M] [SigmaCompactSpace M] [T2Space M] {f f' : M → F} {μ : Measure M}
Mathlib/Analysis/Distribution/AEEqOfIntegralContDiff.lean
41
112
theorem ae_eq_zero_of_integral_smooth_smul_eq_zero (hf : LocallyIntegrable f μ) (h : ∀ g : M → ℝ, Smooth I 𝓘(ℝ) g → HasCompactSupport g → ∫ x, g x • f x ∂μ = 0) : ∀ᵐ x ∂μ, f x = 0 := by
-- record topological properties of `M` have := I.locallyCompactSpace have := ChartedSpace.locallyCompactSpace H M have := I.secondCountableTopology have := ChartedSpace.secondCountable_of_sigma_compact H M have := ManifoldWithCorners.metrizableSpace I M let _ : MetricSpace M := TopologicalSpace.metrizableSpaceMetric M -- it suffices to show that the integral of the function vanishes on any compact set `s` apply ae_eq_zero_of_forall_setIntegral_isCompact_eq_zero' hf (fun s hs ↦ Eq.symm ?_) obtain ⟨δ, δpos, hδ⟩ : ∃ δ, 0 < δ ∧ IsCompact (cthickening δ s) := hs.exists_isCompact_cthickening -- choose a sequence of smooth functions `gₙ` equal to `1` on `s` and vanishing outside of the -- `uₙ`-neighborhood of `s`, where `uₙ` tends to zero. Then each integral `∫ gₙ f` vanishes, -- and by dominated convergence these integrals converge to `∫ x in s, f`. obtain ⟨u, -, u_pos, u_lim⟩ : ∃ u, StrictAnti u ∧ (∀ (n : ℕ), u n ∈ Ioo 0 δ) ∧ Tendsto u atTop (𝓝 0) := exists_seq_strictAnti_tendsto' δpos let v : ℕ → Set M := fun n ↦ thickening (u n) s obtain ⟨K, K_compact, vK⟩ : ∃ K, IsCompact K ∧ ∀ n, v n ⊆ K := ⟨_, hδ, fun n ↦ thickening_subset_cthickening_of_le (u_pos n).2.le _⟩ have : ∀ n, ∃ (g : M → ℝ), support g = v n ∧ Smooth I 𝓘(ℝ) g ∧ Set.range g ⊆ Set.Icc 0 1 ∧ ∀ x ∈ s, g x = 1 := by intro n rcases exists_msmooth_support_eq_eq_one_iff I isOpen_thickening hs.isClosed (self_subset_thickening (u_pos n).1 s) with ⟨g, g_smooth, g_range, g_supp, hg⟩ exact ⟨g, g_supp, g_smooth, g_range, fun x hx ↦ (hg x).1 hx⟩ choose g g_supp g_diff g_range hg using this -- main fact: the integral of `∫ gₙ f` tends to `∫ x in s, f`. have L : Tendsto (fun n ↦ ∫ x, g n x • f x ∂μ) atTop (𝓝 (∫ x in s, f x ∂μ)) := by rw [← integral_indicator hs.measurableSet] let bound : M → ℝ := K.indicator (fun x ↦ ‖f x‖) have A : ∀ n, AEStronglyMeasurable (fun x ↦ g n x • f x) μ := fun n ↦ (g_diff n).continuous.aestronglyMeasurable.smul hf.aestronglyMeasurable have B : Integrable bound μ := by rw [integrable_indicator_iff K_compact.measurableSet] exact (hf.integrableOn_isCompact K_compact).norm have C : ∀ n, ∀ᵐ x ∂μ, ‖g n x • f x‖ ≤ bound x := by intro n filter_upwards with x rw [norm_smul] refine le_indicator_apply (fun _ ↦ ?_) (fun hxK ↦ ?_) · have : ‖g n x‖ ≤ 1 := by have := g_range n (mem_range_self (f := g n) x) rw [Real.norm_of_nonneg this.1] exact this.2 exact mul_le_of_le_one_left (norm_nonneg _) this · have : g n x = 0 := by rw [← nmem_support, g_supp]; contrapose! hxK; exact vK n hxK simp [this] have D : ∀ᵐ x ∂μ, Tendsto (fun n => g n x • f x) atTop (𝓝 (s.indicator f x)) := by filter_upwards with x by_cases hxs : x ∈ s · have : ∀ n, g n x = 1 := fun n ↦ hg n x hxs simp [this, indicator_of_mem hxs f] · simp_rw [indicator_of_not_mem hxs f] apply tendsto_const_nhds.congr' suffices H : ∀ᶠ n in atTop, g n x = 0 by filter_upwards [H] with n hn using by simp [hn] obtain ⟨ε, εpos, hε⟩ : ∃ ε, 0 < ε ∧ x ∉ thickening ε s := by rw [← hs.isClosed.closure_eq, closure_eq_iInter_thickening s] at hxs simpa using hxs filter_upwards [(tendsto_order.1 u_lim).2 _ εpos] with n hn rw [← nmem_support, g_supp] contrapose! hε exact thickening_mono hn.le s hε exact tendsto_integral_of_dominated_convergence bound A B C D -- deduce that `∫ x in s, f = 0` as each integral `∫ gₙ f` vanishes by assumption have : ∀ n, ∫ x, g n x • f x ∂μ = 0 := by refine fun n ↦ h _ (g_diff n) ?_ apply HasCompactSupport.of_support_subset_isCompact K_compact simpa [g_supp] using vK n simpa [this] using L
69
925,378,172,558,778,900,000,000,000,000
2
2
1
2,457
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section Real variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by lift a to ℝ≥0 using ha lift b to ℝ≥0 using hb rfl #align ennreal.to_real_add ENNReal.toReal_add theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) : (a - b).toReal = a.toReal - b.toReal := by lift b to ℝ≥0 using ne_top_of_le_ne_top ha h lift a to ℝ≥0 using ha simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)] #align ennreal.to_real_sub_of_le ENNReal.toReal_sub_of_le
Mathlib/Data/ENNReal/Real.lean
50
55
theorem le_toReal_sub {a b : ℝ≥0∞} (hb : b ≠ ∞) : a.toReal - b.toReal ≤ (a - b).toReal := by
lift b to ℝ≥0 using hb induction a · simp · simp only [← coe_sub, NNReal.sub_def, Real.coe_toNNReal', coe_toReal] exact le_max_left _ _
5
148.413159
2
0.857143
21
755
import Mathlib.Topology.ExtendFrom import Mathlib.Topology.Order.DenselyOrdered #align_import topology.algebra.order.extend_from from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" set_option autoImplicit true open Filter Set TopologicalSpace open scoped Classical open Topology theorem continuousOn_Icc_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α] [OrderTopology α] [TopologicalSpace β] [RegularSpace β] {f : α → β} {a b : α} {la lb : β} (hab : a ≠ b) (hf : ContinuousOn f (Ioo a b)) (ha : Tendsto f (𝓝[>] a) (𝓝 la)) (hb : Tendsto f (𝓝[<] b) (𝓝 lb)) : ContinuousOn (extendFrom (Ioo a b) f) (Icc a b) := by apply continuousOn_extendFrom · rw [closure_Ioo hab] · intro x x_in rcases eq_endpoints_or_mem_Ioo_of_mem_Icc x_in with (rfl | rfl | h) · exact ⟨la, ha.mono_left <| nhdsWithin_mono _ Ioo_subset_Ioi_self⟩ · exact ⟨lb, hb.mono_left <| nhdsWithin_mono _ Ioo_subset_Iio_self⟩ · exact ⟨f x, hf x h⟩ #align continuous_on_Icc_extend_from_Ioo continuousOn_Icc_extendFrom_Ioo
Mathlib/Topology/Order/ExtendFrom.lean
36
42
theorem eq_lim_at_left_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α] [OrderTopology α] [TopologicalSpace β] [T2Space β] {f : α → β} {a b : α} {la : β} (hab : a < b) (ha : Tendsto f (𝓝[>] a) (𝓝 la)) : extendFrom (Ioo a b) f a = la := by
apply extendFrom_eq · rw [closure_Ioo hab.ne] simp only [le_of_lt hab, left_mem_Icc, right_mem_Icc] · simpa [hab]
4
54.59815
2
1.8
5
1,887
import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.Algebra.Module.Torsion #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' u₁' w w' variable {R S : Type u} {M : Type v} {M' : Type v'} {M₁ : Type v} variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*} open Cardinal Basis Submodule Function Set FiniteDimensional DirectSum variable [Ring R] [CommRing S] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁] variable [Module R M] [Module R M'] [Module R M₁] section Finsupp variable (R M M') variable [StrongRankCondition R] [Module.Free R M] [Module.Free R M'] open Module.Free @[simp] theorem rank_finsupp (ι : Type w) : Module.rank R (ι →₀ M) = Cardinal.lift.{v} #ι * Cardinal.lift.{w} (Module.rank R M) := by obtain ⟨⟨_, bs⟩⟩ := Module.Free.exists_basis (R := R) (M := M) rw [← bs.mk_eq_rank'', ← (Finsupp.basis fun _ : ι => bs).mk_eq_rank'', Cardinal.mk_sigma, Cardinal.sum_const] #align rank_finsupp rank_finsupp theorem rank_finsupp' (ι : Type v) : Module.rank R (ι →₀ M) = #ι * Module.rank R M := by simp [rank_finsupp] #align rank_finsupp' rank_finsupp' -- Porting note, this should not be `@[simp]`, as simp can prove it. -- @[simp] theorem rank_finsupp_self (ι : Type w) : Module.rank R (ι →₀ R) = Cardinal.lift.{u} #ι := by simp [rank_finsupp] #align rank_finsupp_self rank_finsupp_self theorem rank_finsupp_self' {ι : Type u} : Module.rank R (ι →₀ R) = #ι := by simp #align rank_finsupp_self' rank_finsupp_self' @[simp] theorem rank_directSum {ι : Type v} (M : ι → Type w) [∀ i : ι, AddCommGroup (M i)] [∀ i : ι, Module R (M i)] [∀ i : ι, Module.Free R (M i)] : Module.rank R (⨁ i, M i) = Cardinal.sum fun i => Module.rank R (M i) := by let B i := chooseBasis R (M i) let b : Basis _ R (⨁ i, M i) := DFinsupp.basis fun i => B i simp [← b.mk_eq_rank'', fun i => (B i).mk_eq_rank''] #align rank_direct_sum rank_directSum @[simp] theorem rank_matrix (m : Type v) (n : Type w) [Finite m] [Finite n] : Module.rank R (Matrix m n R) = Cardinal.lift.{max v w u, v} #m * Cardinal.lift.{max v w u, w} #n := by cases nonempty_fintype m cases nonempty_fintype n have h := (Matrix.stdBasis R m n).mk_eq_rank rw [← lift_lift.{max v w u, max v w}, lift_inj] at h simpa using h.symm #align rank_matrix rank_matrix @[simp high] theorem rank_matrix' (m n : Type v) [Finite m] [Finite n] : Module.rank R (Matrix m n R) = Cardinal.lift.{u} (#m * #n) := by rw [rank_matrix, lift_mul, lift_umax.{v, u}] #align rank_matrix' rank_matrix' -- @[simp] -- Porting note (#10618): simp can prove this theorem rank_matrix'' (m n : Type u) [Finite m] [Finite n] : Module.rank R (Matrix m n R) = #m * #n := by simp #align rank_matrix'' rank_matrix'' variable [Module.Finite R M] [Module.Finite R M'] open Fintype section Pi variable [StrongRankCondition R] [Module.Free R M] variable [∀ i, AddCommGroup (φ i)] [∀ i, Module R (φ i)] [∀ i, Module.Free R (φ i)] open Module.Free open LinearMap -- this result is not true without the freeness assumption @[simp]
Mathlib/LinearAlgebra/Dimension/Constructions.lean
271
276
theorem rank_pi [Finite η] : Module.rank R (∀ i, φ i) = Cardinal.sum fun i => Module.rank R (φ i) := by
cases nonempty_fintype η let B i := chooseBasis R (φ i) let b : Basis _ R (∀ i, φ i) := Pi.basis fun i => B i simp [← b.mk_eq_rank'', fun i => (B i).mk_eq_rank'']
4
54.59815
2
0.75
24
667
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Data.Finset.Pointwise import Mathlib.Tactic.GCongr #align_import combinatorics.additive.pluennecke_ruzsa from "leanprover-community/mathlib"@"4aab2abced69a9e579b1e6dc2856ed3db48e2cbd" open Nat open NNRat Pointwise namespace Finset variable {α : Type*} [CommGroup α] [DecidableEq α] {A B C : Finset α} @[to_additive card_sub_mul_le_card_sub_mul_card_sub "**Ruzsa's triangle inequality**. Subtraction version."]
Mathlib/Combinatorics/Additive/PluenneckeRuzsa.lean
45
56
theorem card_div_mul_le_card_div_mul_card_div (A B C : Finset α) : (A / C).card * B.card ≤ (A / B).card * (B / C).card := by
rw [← card_product (A / B), ← mul_one ((A / B) ×ˢ (B / C)).card] refine card_mul_le_card_mul (fun b ac ↦ ac.1 * ac.2 = b) (fun x hx ↦ ?_) fun x _ ↦ card_le_one_iff.2 fun hu hv ↦ ((mem_bipartiteBelow _).1 hu).2.symm.trans ?_ obtain ⟨a, ha, c, hc, rfl⟩ := mem_div.1 hx refine card_le_card_of_inj_on (fun b ↦ (a / b, b / c)) (fun b hb ↦ ?_) fun b₁ _ b₂ _ h ↦ ?_ · rw [mem_bipartiteAbove] exact ⟨mk_mem_product (div_mem_div ha hb) (div_mem_div hb hc), div_mul_div_cancel' _ _ _⟩ · exact div_right_injective (Prod.ext_iff.1 h).1 · exact ((mem_bipartiteBelow _).1 hv).2
10
22,026.465795
2
1.4
5
1,480
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition import Mathlib.LinearAlgebra.FreeModule.Basic #align_import linear_algebra.free_module.pid from "leanprover-community/mathlib"@"d87199d51218d36a0a42c66c82d147b5a7ff87b3" universe u v section Ring variable {R : Type u} {M : Type v} [Ring R] [AddCommGroup M] [Module R M] variable {ι : Type*} (b : Basis ι R M) open Submodule.IsPrincipal Submodule
Mathlib/LinearAlgebra/FreeModule/PID.lean
59
69
theorem eq_bot_of_generator_maximal_map_eq_zero (b : Basis ι R M) {N : Submodule R M} {ϕ : M →ₗ[R] R} (hϕ : ∀ ψ : M →ₗ[R] R, ¬N.map ϕ < N.map ψ) [(N.map ϕ).IsPrincipal] (hgen : generator (N.map ϕ) = (0 : R)) : N = ⊥ := by
rw [Submodule.eq_bot_iff] intro x hx refine b.ext_elem fun i ↦ ?_ rw [(eq_bot_iff_generator_eq_zero _).mpr hgen] at hϕ rw [LinearEquiv.map_zero, Finsupp.zero_apply] exact (Submodule.eq_bot_iff _).mp (not_bot_lt_iff.1 <| hϕ (Finsupp.lapply i ∘ₗ ↑b.repr)) _ ⟨x, hx, rfl⟩
8
2,980.957987
2
2
3
2,115
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace EuclideanGeometry open FiniteDimensional variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)] theorem oangle_right_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arccos (dist p₃ p₂ / dist p₁ p₃) := by have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arccos_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)] #align euclidean_geometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_left_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₃ p₁ p₂ = Real.arccos (dist p₁ p₂ / dist p₁ p₃) := by have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, angle_eq_arccos_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h), dist_comm p₁ p₃] #align euclidean_geometry.oangle_left_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_right_eq_arcsin_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arcsin (dist p₁ p₂ / dist p₁ p₃) := by have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arcsin_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h) (Or.inl (left_ne_of_oangle_eq_pi_div_two h))] #align euclidean_geometry.oangle_right_eq_arcsin_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_left_eq_arcsin_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₃ p₁ p₂ = Real.arcsin (dist p₃ p₂ / dist p₁ p₃) := by have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, angle_eq_arcsin_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h) (Or.inr (left_ne_of_oangle_eq_pi_div_two h)), dist_comm p₁ p₃] #align euclidean_geometry.oangle_left_eq_arcsin_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_right_eq_arctan_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arctan (dist p₁ p₂ / dist p₃ p₂) := by have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arctan_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h) (right_ne_of_oangle_eq_pi_div_two h)] #align euclidean_geometry.oangle_right_eq_arctan_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arctan_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
629
634
theorem oangle_left_eq_arctan_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₃ p₁ p₂ = Real.arctan (dist p₃ p₂ / dist p₁ p₂) := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, angle_eq_arctan_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h) (left_ne_of_oangle_eq_pi_div_two h)]
4
54.59815
2
1.642857
14
1,752
import Mathlib.Topology.Instances.Irrational import Mathlib.Topology.Instances.Rat import Mathlib.Topology.Compactification.OnePoint #align_import topology.instances.rat_lemmas from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" open Set Metric Filter TopologicalSpace open Topology OnePoint local notation "ℚ∞" => OnePoint ℚ namespace Rat variable {p q : ℚ} {s t : Set ℚ} theorem interior_compact_eq_empty (hs : IsCompact s) : interior s = ∅ := denseEmbedding_coe_real.toDenseInducing.interior_compact_eq_empty dense_irrational hs #align rat.interior_compact_eq_empty Rat.interior_compact_eq_empty theorem dense_compl_compact (hs : IsCompact s) : Dense sᶜ := interior_eq_empty_iff_dense_compl.1 (interior_compact_eq_empty hs) #align rat.dense_compl_compact Rat.dense_compl_compact instance cocompact_inf_nhds_neBot : NeBot (cocompact ℚ ⊓ 𝓝 p) := by refine (hasBasis_cocompact.inf (nhds_basis_opens _)).neBot_iff.2 ?_ rintro ⟨s, o⟩ ⟨hs, hpo, ho⟩; rw [inter_comm] exact (dense_compl_compact hs).inter_open_nonempty _ ho ⟨p, hpo⟩ #align rat.cocompact_inf_nhds_ne_bot Rat.cocompact_inf_nhds_neBot theorem not_countably_generated_cocompact : ¬IsCountablyGenerated (cocompact ℚ) := by intro H rcases exists_seq_tendsto (cocompact ℚ ⊓ 𝓝 0) with ⟨x, hx⟩ rw [tendsto_inf] at hx; rcases hx with ⟨hxc, hx0⟩ obtain ⟨n, hn⟩ : ∃ n : ℕ, x n ∉ insert (0 : ℚ) (range x) := (hxc.eventually hx0.isCompact_insert_range.compl_mem_cocompact).exists exact hn (Or.inr ⟨n, rfl⟩) #align rat.not_countably_generated_cocompact Rat.not_countably_generated_cocompact
Mathlib/Topology/Instances/RatLemmas.lean
65
69
theorem not_countably_generated_nhds_infty_opc : ¬IsCountablyGenerated (𝓝 (∞ : ℚ∞)) := by
intro have : IsCountablyGenerated (comap (OnePoint.some : ℚ → ℚ∞) (𝓝 ∞)) := by infer_instance rw [OnePoint.comap_coe_nhds_infty, coclosedCompact_eq_cocompact] at this exact not_countably_generated_cocompact this
4
54.59815
2
1.5
4
1,608
import Mathlib.RingTheory.PrincipalIdealDomain #align_import ring_theory.bezout from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" universe u v variable {R : Type u} [CommRing R] namespace IsBezout theorem iff_span_pair_isPrincipal : IsBezout R ↔ ∀ x y : R, (Ideal.span {x, y} : Ideal R).IsPrincipal := by classical constructor · intro H x y; infer_instance · intro H constructor apply Submodule.fg_induction · exact fun _ => ⟨⟨_, rfl⟩⟩ · rintro _ _ ⟨⟨x, rfl⟩⟩ ⟨⟨y, rfl⟩⟩; rw [← Submodule.span_insert]; exact H _ _ #align is_bezout.iff_span_pair_is_principal IsBezout.iff_span_pair_isPrincipal
Mathlib/RingTheory/Bezout.lean
42
50
theorem _root_.Function.Surjective.isBezout {S : Type v} [CommRing S] (f : R →+* S) (hf : Function.Surjective f) [IsBezout R] : IsBezout S := by
rw [iff_span_pair_isPrincipal] intro x y obtain ⟨⟨x, rfl⟩, ⟨y, rfl⟩⟩ := hf x, hf y use f (gcd x y) trans Ideal.map f (Ideal.span {gcd x y}) · rw [span_gcd, Ideal.map_span, Set.image_insert_eq, Set.image_singleton] · rw [Ideal.map_span, Set.image_singleton]; rfl
7
1,096.633158
2
2
3
2,221
import Mathlib.Geometry.Euclidean.Circumcenter #align_import geometry.euclidean.monge_point from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0" noncomputable section open scoped Classical open scoped RealInnerProductSpace namespace Affine namespace Simplex open Finset AffineSubspace EuclideanGeometry PointsWithCircumcenterIndex variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] def mongePoint {n : ℕ} (s : Simplex ℝ P n) : P := (((n + 1 : ℕ) : ℝ) / ((n - 1 : ℕ) : ℝ)) • ((univ : Finset (Fin (n + 1))).centroid ℝ s.points -ᵥ s.circumcenter) +ᵥ s.circumcenter #align affine.simplex.monge_point Affine.Simplex.mongePoint theorem mongePoint_eq_smul_vsub_vadd_circumcenter {n : ℕ} (s : Simplex ℝ P n) : s.mongePoint = (((n + 1 : ℕ) : ℝ) / ((n - 1 : ℕ) : ℝ)) • ((univ : Finset (Fin (n + 1))).centroid ℝ s.points -ᵥ s.circumcenter) +ᵥ s.circumcenter := rfl #align affine.simplex.monge_point_eq_smul_vsub_vadd_circumcenter Affine.Simplex.mongePoint_eq_smul_vsub_vadd_circumcenter theorem mongePoint_mem_affineSpan {n : ℕ} (s : Simplex ℝ P n) : s.mongePoint ∈ affineSpan ℝ (Set.range s.points) := smul_vsub_vadd_mem _ _ (centroid_mem_affineSpan_of_card_eq_add_one ℝ _ (card_fin (n + 1))) s.circumcenter_mem_affineSpan s.circumcenter_mem_affineSpan #align affine.simplex.monge_point_mem_affine_span Affine.Simplex.mongePoint_mem_affineSpan theorem mongePoint_eq_of_range_eq {n : ℕ} {s₁ s₂ : Simplex ℝ P n} (h : Set.range s₁.points = Set.range s₂.points) : s₁.mongePoint = s₂.mongePoint := by simp_rw [mongePoint_eq_smul_vsub_vadd_circumcenter, centroid_eq_of_range_eq h, circumcenter_eq_of_range_eq h] #align affine.simplex.monge_point_eq_of_range_eq Affine.Simplex.mongePoint_eq_of_range_eq def mongePointWeightsWithCircumcenter (n : ℕ) : PointsWithCircumcenterIndex (n + 2) → ℝ | pointIndex _ => ((n + 1 : ℕ) : ℝ)⁻¹ | circumcenterIndex => -2 / ((n + 1 : ℕ) : ℝ) #align affine.simplex.monge_point_weights_with_circumcenter Affine.Simplex.mongePointWeightsWithCircumcenter @[simp]
Mathlib/Geometry/Euclidean/MongePoint.lean
118
125
theorem sum_mongePointWeightsWithCircumcenter (n : ℕ) : ∑ i, mongePointWeightsWithCircumcenter n i = 1 := by
simp_rw [sum_pointsWithCircumcenter, mongePointWeightsWithCircumcenter, sum_const, card_fin, nsmul_eq_mul] -- Porting note: replaced -- have hn1 : (n + 1 : ℝ) ≠ 0 := mod_cast Nat.succ_ne_zero _ field_simp [n.cast_add_one_ne_zero] ring
6
403.428793
2
1.75
4
1,853
import Mathlib.Algebra.GCDMonoid.Finset import Mathlib.Algebra.Polynomial.CancelLeads import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.FieldDivision #align_import ring_theory.polynomial.content from "leanprover-community/mathlib"@"7a030ab8eb5d99f05a891dccc49c5b5b90c947d3" namespace Polynomial open Polynomial variable {R : Type*} [CommRing R] [IsDomain R] section NormalizedGCDMonoid variable [NormalizedGCDMonoid R] def content (p : R[X]) : R := p.support.gcd p.coeff #align polynomial.content Polynomial.content theorem content_dvd_coeff {p : R[X]} (n : ℕ) : p.content ∣ p.coeff n := by by_cases h : n ∈ p.support · apply Finset.gcd_dvd h rw [mem_support_iff, Classical.not_not] at h rw [h] apply dvd_zero #align polynomial.content_dvd_coeff Polynomial.content_dvd_coeff @[simp]
Mathlib/RingTheory/Polynomial/Content.lean
92
97
theorem content_C {r : R} : (C r).content = normalize r := by
rw [content] by_cases h0 : r = 0 · simp [h0] have h : (C r).support = {0} := support_monomial _ h0 simp [h]
5
148.413159
2
1.2
15
1,288
import Mathlib.Geometry.Euclidean.Inversion.Basic import Mathlib.Geometry.Euclidean.PerpBisector open Metric Function AffineMap Set AffineSubspace open scoped Topology variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {c x y : P} {R : ℝ} namespace EuclideanGeometry
Mathlib/Geometry/Euclidean/Inversion/ImageHyperplane.lean
37
42
theorem inversion_mem_perpBisector_inversion_iff (hR : R ≠ 0) (hx : x ≠ c) (hy : y ≠ c) : inversion c R x ∈ perpBisector c (inversion c R y) ↔ dist x y = dist y c := by
rw [mem_perpBisector_iff_dist_eq, dist_inversion_inversion hx hy, dist_inversion_center] have hx' := dist_ne_zero.2 hx have hy' := dist_ne_zero.2 hy field_simp [mul_assoc, mul_comm, hx, hx.symm, eq_comm]
4
54.59815
2
1.166667
6
1,232
import Mathlib.Algebra.Order.Monoid.Unbundled.Basic #align_import algebra.order.monoid.min_max from "leanprover-community/mathlib"@"de87d5053a9fe5cbde723172c0fb7e27e7436473" open Function variable {α β : Type*} section CovariantClassMulLe variable [LinearOrder α] section Mul variable [Mul α] @[to_additive] theorem lt_or_lt_of_mul_lt_mul [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap (· * ·)) (· ≤ ·)] {a₁ a₂ b₁ b₂ : α} : a₁ * b₁ < a₂ * b₂ → a₁ < a₂ ∨ b₁ < b₂ := by contrapose! exact fun h => mul_le_mul' h.1 h.2 #align lt_or_lt_of_mul_lt_mul lt_or_lt_of_mul_lt_mul #align lt_or_lt_of_add_lt_add lt_or_lt_of_add_lt_add @[to_additive] theorem le_or_lt_of_mul_le_mul [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap (· * ·)) (· < ·)] {a₁ a₂ b₁ b₂ : α} : a₁ * b₁ ≤ a₂ * b₂ → a₁ ≤ a₂ ∨ b₁ < b₂ := by contrapose! exact fun h => mul_lt_mul_of_lt_of_le h.1 h.2 #align le_or_lt_of_mul_le_mul le_or_lt_of_mul_le_mul #align le_or_lt_of_add_le_add le_or_lt_of_add_le_add @[to_additive] theorem lt_or_le_of_mul_le_mul [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (Function.swap (· * ·)) (· ≤ ·)] {a₁ a₂ b₁ b₂ : α} : a₁ * b₁ ≤ a₂ * b₂ → a₁ < a₂ ∨ b₁ ≤ b₂ := by contrapose! exact fun h => mul_lt_mul_of_le_of_lt h.1 h.2 #align lt_or_le_of_mul_le_mul lt_or_le_of_mul_le_mul #align lt_or_le_of_add_le_add lt_or_le_of_add_le_add @[to_additive] theorem le_or_le_of_mul_le_mul [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (Function.swap (· * ·)) (· < ·)] {a₁ a₂ b₁ b₂ : α} : a₁ * b₁ ≤ a₂ * b₂ → a₁ ≤ a₂ ∨ b₁ ≤ b₂ := by contrapose! exact fun h => mul_lt_mul_of_lt_of_lt h.1 h.2 #align le_or_le_of_mul_le_mul le_or_le_of_mul_le_mul #align le_or_le_of_add_le_add le_or_le_of_add_le_add @[to_additive]
Mathlib/Algebra/Order/Monoid/Unbundled/MinMax.lean
126
133
theorem mul_lt_mul_iff_of_le_of_le [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap (· * ·)) (· ≤ ·)] [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (Function.swap (· * ·)) (· < ·)] {a₁ a₂ b₁ b₂ : α} (ha : a₁ ≤ a₂) (hb : b₁ ≤ b₂) : a₁ * b₁ < a₂ * b₂ ↔ a₁ < a₂ ∨ b₁ < b₂ := by
refine ⟨lt_or_lt_of_mul_lt_mul, fun h => ?_⟩ cases' h with ha' hb' · exact mul_lt_mul_of_lt_of_le ha' hb · exact mul_lt_mul_of_le_of_lt ha hb'
4
54.59815
2
1.2
5
1,252
import Mathlib.Order.ConditionallyCompleteLattice.Finset import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.lattice from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54" assert_not_exists MonoidWithZero open Set namespace Nat open scoped Classical noncomputable instance : InfSet ℕ := ⟨fun s ↦ if h : ∃ n, n ∈ s then @Nat.find (fun n ↦ n ∈ s) _ h else 0⟩ noncomputable instance : SupSet ℕ := ⟨fun s ↦ if h : ∃ n, ∀ a ∈ s, a ≤ n then @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h else 0⟩ theorem sInf_def {s : Set ℕ} (h : s.Nonempty) : sInf s = @Nat.find (fun n ↦ n ∈ s) _ h := dif_pos _ #align nat.Inf_def Nat.sInf_def theorem sSup_def {s : Set ℕ} (h : ∃ n, ∀ a ∈ s, a ≤ n) : sSup s = @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h := dif_pos _ #align nat.Sup_def Nat.sSup_def theorem _root_.Set.Infinite.Nat.sSup_eq_zero {s : Set ℕ} (h : s.Infinite) : sSup s = 0 := dif_neg fun ⟨n, hn⟩ ↦ let ⟨k, hks, hk⟩ := h.exists_gt n (hn k hks).not_lt hk #align set.infinite.nat.Sup_eq_zero Set.Infinite.Nat.sSup_eq_zero @[simp] theorem sInf_eq_zero {s : Set ℕ} : sInf s = 0 ↔ 0 ∈ s ∨ s = ∅ := by cases eq_empty_or_nonempty s with | inl h => subst h simp only [or_true_iff, eq_self_iff_true, iff_true_iff, iInf, InfSet.sInf, mem_empty_iff_false, exists_false, dif_neg, not_false_iff] | inr h => simp only [h.ne_empty, or_false_iff, Nat.sInf_def, h, Nat.find_eq_zero] #align nat.Inf_eq_zero Nat.sInf_eq_zero @[simp] theorem sInf_empty : sInf ∅ = 0 := by rw [sInf_eq_zero] right rfl #align nat.Inf_empty Nat.sInf_empty @[simp] theorem iInf_of_empty {ι : Sort*} [IsEmpty ι] (f : ι → ℕ) : iInf f = 0 := by rw [iInf_of_isEmpty, sInf_empty] #align nat.infi_of_empty Nat.iInf_of_empty @[simp] lemma iInf_const_zero {ι : Sort*} : ⨅ i : ι, 0 = 0 := (isEmpty_or_nonempty ι).elim (fun h ↦ by simp) fun h ↦ sInf_eq_zero.2 <| by simp theorem sInf_mem {s : Set ℕ} (h : s.Nonempty) : sInf s ∈ s := by rw [Nat.sInf_def h] exact Nat.find_spec h #align nat.Inf_mem Nat.sInf_mem theorem not_mem_of_lt_sInf {s : Set ℕ} {m : ℕ} (hm : m < sInf s) : m ∉ s := by cases eq_empty_or_nonempty s with | inl h => subst h; apply not_mem_empty | inr h => rw [Nat.sInf_def h] at hm; exact Nat.find_min h hm #align nat.not_mem_of_lt_Inf Nat.not_mem_of_lt_sInf protected theorem sInf_le {s : Set ℕ} {m : ℕ} (hm : m ∈ s) : sInf s ≤ m := by rw [Nat.sInf_def ⟨m, hm⟩] exact Nat.find_min' ⟨m, hm⟩ hm #align nat.Inf_le Nat.sInf_le theorem nonempty_of_pos_sInf {s : Set ℕ} (h : 0 < sInf s) : s.Nonempty := by by_contra contra rw [Set.not_nonempty_iff_eq_empty] at contra have h' : sInf s ≠ 0 := ne_of_gt h apply h' rw [Nat.sInf_eq_zero] right assumption #align nat.nonempty_of_pos_Inf Nat.nonempty_of_pos_sInf theorem nonempty_of_sInf_eq_succ {s : Set ℕ} {k : ℕ} (h : sInf s = k + 1) : s.Nonempty := nonempty_of_pos_sInf (h.symm ▸ succ_pos k : sInf s > 0) #align nat.nonempty_of_Inf_eq_succ Nat.nonempty_of_sInf_eq_succ theorem eq_Ici_of_nonempty_of_upward_closed {s : Set ℕ} (hs : s.Nonempty) (hs' : ∀ k₁ k₂ : ℕ, k₁ ≤ k₂ → k₁ ∈ s → k₂ ∈ s) : s = Ici (sInf s) := ext fun n ↦ ⟨fun H ↦ Nat.sInf_le H, fun H ↦ hs' (sInf s) n H (sInf_mem hs)⟩ #align nat.eq_Ici_of_nonempty_of_upward_closed Nat.eq_Ici_of_nonempty_of_upward_closed
Mathlib/Data/Nat/Lattice.lean
110
120
theorem sInf_upward_closed_eq_succ_iff {s : Set ℕ} (hs : ∀ k₁ k₂ : ℕ, k₁ ≤ k₂ → k₁ ∈ s → k₂ ∈ s) (k : ℕ) : sInf s = k + 1 ↔ k + 1 ∈ s ∧ k ∉ s := by
constructor · intro H rw [eq_Ici_of_nonempty_of_upward_closed (nonempty_of_sInf_eq_succ _) hs, H, mem_Ici, mem_Ici] · exact ⟨le_rfl, k.not_succ_le_self⟩; · exact k · assumption · rintro ⟨H, H'⟩ rw [sInf_def (⟨_, H⟩ : s.Nonempty), find_eq_iff] exact ⟨H, fun n hnk hns ↦ H' <| hs n k (Nat.lt_succ_iff.mp hnk) hns⟩
9
8,103.083928
2
1.285714
7
1,355
import Mathlib.Topology.Algebra.Polynomial import Mathlib.Topology.ContinuousFunction.Algebra import Mathlib.Topology.UnitInterval import Mathlib.Algebra.Star.Subalgebra #align_import topology.continuous_function.polynomial from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64" variable {R : Type*} open Polynomial namespace Polynomial section variable [Semiring R] [TopologicalSpace R] [TopologicalSemiring R] @[simps] def toContinuousMap (p : R[X]) : C(R, R) := ⟨fun x : R => p.eval x, by fun_prop⟩ #align polynomial.to_continuous_map Polynomial.toContinuousMap open ContinuousMap in lemma toContinuousMap_X_eq_id : X.toContinuousMap = .id R := by ext; simp @[simps] def toContinuousMapOn (p : R[X]) (X : Set R) : C(X, R) := -- Porting note: Old proof was `⟨fun x : X => p.toContinuousMap x, by continuity⟩` ⟨fun x : X => p.toContinuousMap x, Continuous.comp (by continuity) (by continuity)⟩ #align polynomial.to_continuous_map_on Polynomial.toContinuousMapOn open ContinuousMap in lemma toContinuousMapOn_X_eq_restrict_id (s : Set R) : X.toContinuousMapOn s = restrict s (.id R) := by ext; simp -- TODO some lemmas about when `toContinuousMapOn` is injective? end section variable {α : Type*} [TopologicalSpace α] [CommSemiring R] [TopologicalSpace R] [TopologicalSemiring R] @[simp]
Mathlib/Topology/ContinuousFunction/Polynomial.lean
76
82
theorem aeval_continuousMap_apply (g : R[X]) (f : C(α, R)) (x : α) : ((Polynomial.aeval f) g) x = g.eval (f x) := by
refine Polynomial.induction_on' g ?_ ?_ · intro p q hp hq simp [hp, hq] · intro n a simp [Pi.pow_apply]
5
148.413159
2
2
1
2,055
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α}
Mathlib/MeasureTheory/Integral/Asymptotics.lean
36
44
theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by
obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _)
6
403.428793
2
1.125
8
1,209
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.NormedSpace.Dual import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.function.ae_eq_of_integral from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" open MeasureTheory TopologicalSpace NormedSpace Filter open scoped ENNReal NNReal MeasureTheory Topology namespace MeasureTheory variable {α E : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} {s t : Set α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {p : ℝ≥0∞} section AeEqOfForallSetIntegralEq theorem ae_const_le_iff_forall_lt_measure_zero {β} [LinearOrder β] [TopologicalSpace β] [OrderTopology β] [FirstCountableTopology β] (f : α → β) (c : β) : (∀ᵐ x ∂μ, c ≤ f x) ↔ ∀ b < c, μ {x | f x ≤ b} = 0 := by rw [ae_iff] push_neg constructor · intro h b hb exact measure_mono_null (fun y hy => (lt_of_le_of_lt hy hb : _)) h intro hc by_cases h : ∀ b, c ≤ b · have : {a : α | f a < c} = ∅ := by apply Set.eq_empty_iff_forall_not_mem.2 fun x hx => ?_ exact (lt_irrefl _ (lt_of_lt_of_le hx (h (f x)))).elim simp [this] by_cases H : ¬IsLUB (Set.Iio c) c · have : c ∈ upperBounds (Set.Iio c) := fun y hy => le_of_lt hy obtain ⟨b, b_up, bc⟩ : ∃ b : β, b ∈ upperBounds (Set.Iio c) ∧ b < c := by simpa [IsLUB, IsLeast, this, lowerBounds] using H exact measure_mono_null (fun x hx => b_up hx) (hc b bc) push_neg at H h obtain ⟨u, _, u_lt, u_lim, -⟩ : ∃ u : ℕ → β, StrictMono u ∧ (∀ n : ℕ, u n < c) ∧ Tendsto u atTop (𝓝 c) ∧ ∀ n : ℕ, u n ∈ Set.Iio c := H.exists_seq_strictMono_tendsto_of_not_mem (lt_irrefl c) h have h_Union : {x | f x < c} = ⋃ n : ℕ, {x | f x ≤ u n} := by ext1 x simp_rw [Set.mem_iUnion, Set.mem_setOf_eq] constructor <;> intro h · obtain ⟨n, hn⟩ := ((tendsto_order.1 u_lim).1 _ h).exists; exact ⟨n, hn.le⟩ · obtain ⟨n, hn⟩ := h; exact hn.trans_lt (u_lt _) rw [h_Union, measure_iUnion_null_iff] intro n exact hc _ (u_lt n) #align measure_theory.ae_const_le_iff_forall_lt_measure_zero MeasureTheory.ae_const_le_iff_forall_lt_measure_zero section Real variable {f : α → ℝ} theorem ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable (hfm : StronglyMeasurable f) (hf : Integrable f μ) (hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) : 0 ≤ᵐ[μ] f := by simp_rw [EventuallyLE, Pi.zero_apply] rw [ae_const_le_iff_forall_lt_measure_zero] intro b hb_neg let s := {x | f x ≤ b} have hs : MeasurableSet s := hfm.measurableSet_le stronglyMeasurable_const have mus : μ s < ∞ := Integrable.measure_le_lt_top hf hb_neg have h_int_gt : (∫ x in s, f x ∂μ) ≤ b * (μ s).toReal := by have h_const_le : (∫ x in s, f x ∂μ) ≤ ∫ _ in s, b ∂μ := by refine setIntegral_mono_ae_restrict hf.integrableOn (integrableOn_const.mpr (Or.inr mus)) ?_ rw [EventuallyLE, ae_restrict_iff hs] exact eventually_of_forall fun x hxs => hxs rwa [setIntegral_const, smul_eq_mul, mul_comm] at h_const_le by_contra h refine (lt_self_iff_false (∫ x in s, f x ∂μ)).mp (h_int_gt.trans_lt ?_) refine (mul_neg_iff.mpr (Or.inr ⟨hb_neg, ?_⟩)).trans_le ?_ swap · exact hf_zero s hs mus refine ENNReal.toReal_nonneg.lt_of_ne fun h_eq => h ?_ cases' (ENNReal.toReal_eq_zero_iff _).mp h_eq.symm with hμs_eq_zero hμs_eq_top · exact hμs_eq_zero · exact absurd hμs_eq_top mus.ne #align measure_theory.ae_nonneg_of_forall_set_integral_nonneg_of_strongly_measurable MeasureTheory.ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable @[deprecated (since := "2024-04-17")] alias ae_nonneg_of_forall_set_integral_nonneg_of_stronglyMeasurable := ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable
Mathlib/MeasureTheory/Function/AEEqOfIntegral.lean
291
302
theorem ae_nonneg_of_forall_setIntegral_nonneg (hf : Integrable f μ) (hf_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f x ∂μ) : 0 ≤ᵐ[μ] f := by
rcases hf.1 with ⟨f', hf'_meas, hf_ae⟩ have hf'_integrable : Integrable f' μ := Integrable.congr hf hf_ae have hf'_zero : ∀ s, MeasurableSet s → μ s < ∞ → 0 ≤ ∫ x in s, f' x ∂μ := by intro s hs h's rw [setIntegral_congr_ae hs (hf_ae.mono fun x hx _ => hx.symm)] exact hf_zero s hs h's exact (ae_nonneg_of_forall_setIntegral_nonneg_of_stronglyMeasurable hf'_meas hf'_integrable hf'_zero).trans hf_ae.symm.le
10
22,026.465795
2
2
6
1,968
import Mathlib.Probability.Kernel.Basic import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Integral.DominatedConvergence #align_import probability.kernel.measurable_integral from "leanprover-community/mathlib"@"28b2a92f2996d28e580450863c130955de0ed398" open MeasureTheory ProbabilityTheory Function Set Filter open scoped MeasureTheory ENNReal Topology variable {α β γ : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} {κ : kernel α β} {η : kernel (α × β) γ} {a : α} namespace ProbabilityTheory namespace kernel theorem measurable_kernel_prod_mk_left_of_finite {t : Set (α × β)} (ht : MeasurableSet t) (hκs : ∀ a, IsFiniteMeasure (κ a)) : Measurable fun a => κ a (Prod.mk a ⁻¹' t) := by -- `t` is a measurable set in the product `α × β`: we use that the product σ-algebra is generated -- by boxes to prove the result by induction. -- Porting note: added motive refine MeasurableSpace.induction_on_inter (C := fun t => Measurable fun a => κ a (Prod.mk a ⁻¹' t)) generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ ht ·-- case `t = ∅` simp only [preimage_empty, measure_empty, measurable_const] · -- case of a box: `t = t₁ ×ˢ t₂` for measurable sets `t₁` and `t₂` intro t' ht' simp only [Set.mem_image2, Set.mem_setOf_eq, exists_and_left] at ht' obtain ⟨t₁, ht₁, t₂, ht₂, rfl⟩ := ht' classical simp_rw [mk_preimage_prod_right_eq_if] have h_eq_ite : (fun a => κ a (ite (a ∈ t₁) t₂ ∅)) = fun a => ite (a ∈ t₁) (κ a t₂) 0 := by ext1 a split_ifs exacts [rfl, measure_empty] rw [h_eq_ite] exact Measurable.ite ht₁ (kernel.measurable_coe κ ht₂) measurable_const · -- we assume that the result is true for `t` and we prove it for `tᶜ` intro t' ht' h_meas have h_eq_sdiff : ∀ a, Prod.mk a ⁻¹' t'ᶜ = Set.univ \ Prod.mk a ⁻¹' t' := by intro a ext1 b simp only [mem_compl_iff, mem_preimage, mem_diff, mem_univ, true_and_iff] simp_rw [h_eq_sdiff] have : (fun a => κ a (Set.univ \ Prod.mk a ⁻¹' t')) = fun a => κ a Set.univ - κ a (Prod.mk a ⁻¹' t') := by ext1 a rw [← Set.diff_inter_self_eq_diff, Set.inter_univ, measure_diff (Set.subset_univ _)] · exact (@measurable_prod_mk_left α β _ _ a) ht' · exact measure_ne_top _ _ rw [this] exact Measurable.sub (kernel.measurable_coe κ MeasurableSet.univ) h_meas · -- we assume that the result is true for a family of disjoint sets and prove it for their union intro f h_disj hf_meas hf have h_Union : (fun a => κ a (Prod.mk a ⁻¹' ⋃ i, f i)) = fun a => κ a (⋃ i, Prod.mk a ⁻¹' f i) := by ext1 a congr with b simp only [mem_iUnion, mem_preimage] rw [h_Union] have h_tsum : (fun a => κ a (⋃ i, Prod.mk a ⁻¹' f i)) = fun a => ∑' i, κ a (Prod.mk a ⁻¹' f i) := by ext1 a rw [measure_iUnion] · intro i j hij s hsi hsj b hbs have habi : {(a, b)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hbs have habj : {(a, b)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hbs simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff, Set.mem_empty_iff_false] using h_disj hij habi habj · exact fun i => (@measurable_prod_mk_left α β _ _ a) (hf_meas i) rw [h_tsum] exact Measurable.ennreal_tsum hf #align probability_theory.kernel.measurable_kernel_prod_mk_left_of_finite ProbabilityTheory.kernel.measurable_kernel_prod_mk_left_of_finite theorem measurable_kernel_prod_mk_left [IsSFiniteKernel κ] {t : Set (α × β)} (ht : MeasurableSet t) : Measurable fun a => κ a (Prod.mk a ⁻¹' t) := by rw [← kernel.kernel_sum_seq κ] have : ∀ a, kernel.sum (kernel.seq κ) a (Prod.mk a ⁻¹' t) = ∑' n, kernel.seq κ n a (Prod.mk a ⁻¹' t) := fun a => kernel.sum_apply' _ _ (measurable_prod_mk_left ht) simp_rw [this] refine Measurable.ennreal_tsum fun n => ?_ exact measurable_kernel_prod_mk_left_of_finite ht inferInstance #align probability_theory.kernel.measurable_kernel_prod_mk_left ProbabilityTheory.kernel.measurable_kernel_prod_mk_left
Mathlib/Probability/Kernel/MeasurableIntegral.lean
113
119
theorem measurable_kernel_prod_mk_left' [IsSFiniteKernel η] {s : Set (β × γ)} (hs : MeasurableSet s) (a : α) : Measurable fun b => η (a, b) (Prod.mk b ⁻¹' s) := by
have : ∀ b, Prod.mk b ⁻¹' s = {c | ((a, b), c) ∈ {p : (α × β) × γ | (p.1.2, p.2) ∈ s}} := by intro b; rfl simp_rw [this] refine (measurable_kernel_prod_mk_left ?_).comp measurable_prod_mk_left exact (measurable_fst.snd.prod_mk measurable_snd) hs
5
148.413159
2
2
3
2,256
import Mathlib.Algebra.EuclideanDomain.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Algebra.GCDMonoid.Nat #align_import ring_theory.int.basic from "leanprover-community/mathlib"@"e655e4ea5c6d02854696f97494997ba4c31be802" theorem Int.Prime.dvd_mul {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : p ∣ m.natAbs ∨ p ∣ n.natAbs := by rwa [← hp.dvd_mul, ← Int.natAbs_mul, ← Int.natCast_dvd] #align int.prime.dvd_mul Int.Prime.dvd_mul theorem Int.Prime.dvd_mul' {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : (p : ℤ) ∣ m ∨ (p : ℤ) ∣ n := by rw [Int.natCast_dvd, Int.natCast_dvd] exact Int.Prime.dvd_mul hp h #align int.prime.dvd_mul' Int.Prime.dvd_mul' theorem Int.Prime.dvd_pow {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) : p ∣ n.natAbs := by rw [Int.natCast_dvd, Int.natAbs_pow] at h exact hp.dvd_of_dvd_pow h #align int.prime.dvd_pow Int.Prime.dvd_pow theorem Int.Prime.dvd_pow' {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) : (p : ℤ) ∣ n := by rw [Int.natCast_dvd] exact Int.Prime.dvd_pow hp h #align int.prime.dvd_pow' Int.Prime.dvd_pow'
Mathlib/RingTheory/Int/Basic.lean
111
118
theorem prime_two_or_dvd_of_dvd_two_mul_pow_self_two {m : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ 2 * m ^ 2) : p = 2 ∨ p ∣ Int.natAbs m := by
cases' Int.Prime.dvd_mul hp h with hp2 hpp · apply Or.intro_left exact le_antisymm (Nat.le_of_dvd zero_lt_two hp2) (Nat.Prime.two_le hp) · apply Or.intro_right rw [sq, Int.natAbs_mul] at hpp exact or_self_iff.mp ((Nat.Prime.dvd_mul hp).mp hpp)
6
403.428793
2
1.153846
13
1,227
import Mathlib.Order.Filter.EventuallyConst import Mathlib.Order.PartialSups import Mathlib.Algebra.Module.Submodule.IterateMapComap import Mathlib.RingTheory.OrzechProperty import Mathlib.RingTheory.Nilpotent.Lemmas #align_import ring_theory.noetherian from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90" open Set Filter Pointwise -- Porting note: should this be renamed to `Noetherian`? class IsNoetherian (R M) [Semiring R] [AddCommMonoid M] [Module R M] : Prop where noetherian : ∀ s : Submodule R M, s.FG #align is_noetherian IsNoetherian attribute [inherit_doc IsNoetherian] IsNoetherian.noetherian section variable {R : Type*} {M : Type*} {P : Type*} variable [Semiring R] [AddCommMonoid M] [AddCommMonoid P] variable [Module R M] [Module R P] open IsNoetherian theorem isNoetherian_def : IsNoetherian R M ↔ ∀ s : Submodule R M, s.FG := ⟨fun h => h.noetherian, IsNoetherian.mk⟩ #align is_noetherian_def isNoetherian_def
Mathlib/RingTheory/Noetherian.lean
81
91
theorem isNoetherian_submodule {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, s ≤ N → s.FG := by
refine ⟨fun ⟨hn⟩ => fun s hs => have : s ≤ LinearMap.range N.subtype := N.range_subtype.symm ▸ hs Submodule.map_comap_eq_self this ▸ (hn _).map _, fun h => ⟨fun s => ?_⟩⟩ have f := (Submodule.equivMapOfInjective N.subtype Subtype.val_injective s).symm have h₁ := h (s.map N.subtype) (Submodule.map_subtype_le N s) have h₂ : (⊤ : Submodule R (s.map N.subtype)).map f = ⊤ := by simp have h₃ := ((Submodule.fg_top _).2 h₁).map (↑f : _ →ₗ[R] s) exact (Submodule.fg_top _).1 (h₂ ▸ h₃)
9
8,103.083928
2
1.5
2
1,577
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.NormedSpace.Dual import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.function.ae_eq_of_integral from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" open MeasureTheory TopologicalSpace NormedSpace Filter open scoped ENNReal NNReal MeasureTheory Topology namespace MeasureTheory section AeEqOfForall variable {α E 𝕜 : Type*} {m : MeasurableSpace α} {μ : Measure α} [RCLike 𝕜]
Mathlib/MeasureTheory/Function/AEEqOfIntegral.lean
57
67
theorem ae_eq_zero_of_forall_inner [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] [SecondCountableTopology E] {f : α → E} (hf : ∀ c : E, (fun x => (inner c (f x) : 𝕜)) =ᵐ[μ] 0) : f =ᵐ[μ] 0 := by
let s := denseSeq E have hs : DenseRange s := denseRange_denseSeq E have hf' : ∀ᵐ x ∂μ, ∀ n : ℕ, inner (s n) (f x) = (0 : 𝕜) := ae_all_iff.mpr fun n => hf (s n) refine hf'.mono fun x hx => ?_ rw [Pi.zero_apply, ← @inner_self_eq_zero 𝕜] have h_closed : IsClosed {c : E | inner c (f x) = (0 : 𝕜)} := isClosed_eq (continuous_id.inner continuous_const) continuous_const exact @isClosed_property ℕ E _ s (fun c => inner c (f x) = (0 : 𝕜)) hs h_closed (fun n => hx n) _
8
2,980.957987
2
2
6
1,968
import Mathlib.Algebra.CharP.Basic import Mathlib.Algebra.CharP.Algebra import Mathlib.Data.Nat.Prime #align_import algebra.char_p.exp_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u variable (R : Type u) section Semiring variable [Semiring R] class inductive ExpChar (R : Type u) [Semiring R] : ℕ → Prop | zero [CharZero R] : ExpChar R 1 | prime {q : ℕ} (hprime : q.Prime) [hchar : CharP R q] : ExpChar R q #align exp_char ExpChar #align exp_char.prime ExpChar.prime instance expChar_prime (p) [CharP R p] [Fact p.Prime] : ExpChar R p := ExpChar.prime Fact.out instance expChar_zero [CharZero R] : ExpChar R 1 := ExpChar.zero instance (S : Type*) [Semiring S] (p) [ExpChar R p] [ExpChar S p] : ExpChar (R × S) p := by obtain hp | ⟨hp⟩ := ‹ExpChar R p› · have := Prod.charZero_of_left R S; exact .zero obtain _ | _ := ‹ExpChar S p› · exact (Nat.not_prime_one hp).elim · have := Prod.charP R S p; exact .prime hp variable {R} in theorem ExpChar.eq {p q : ℕ} (hp : ExpChar R p) (hq : ExpChar R q) : p = q := by cases' hp with hp _ hp' hp · cases' hq with hq _ hq' hq exacts [rfl, False.elim (Nat.not_prime_zero (CharP.eq R hq (CharP.ofCharZero R) ▸ hq'))] · cases' hq with hq _ hq' hq exacts [False.elim (Nat.not_prime_zero (CharP.eq R hp (CharP.ofCharZero R) ▸ hp')), CharP.eq R hp hq] theorem ExpChar.congr {p : ℕ} (q : ℕ) [hq : ExpChar R q] (h : q = p) : ExpChar R p := h ▸ hq noncomputable def ringExpChar (R : Type*) [NonAssocSemiring R] : ℕ := max (ringChar R) 1 theorem ringExpChar.eq (q : ℕ) [h : ExpChar R q] : ringExpChar R = q := by cases' h with _ _ h _ · haveI := CharP.ofCharZero R rw [ringExpChar, ringChar.eq R 0]; rfl rw [ringExpChar, ringChar.eq R q] exact Nat.max_eq_left h.one_lt.le @[simp] theorem ringExpChar.eq_one (R : Type*) [NonAssocSemiring R] [CharZero R] : ringExpChar R = 1 := by rw [ringExpChar, ringChar.eq_zero, max_eq_right zero_le_one] theorem expChar_one_of_char_zero (q : ℕ) [hp : CharP R 0] [hq : ExpChar R q] : q = 1 := by cases' hq with q hq_one hq_prime hq_hchar · rfl · exact False.elim <| hq_prime.ne_zero <| hq_hchar.eq R hp #align exp_char_one_of_char_zero expChar_one_of_char_zero
Mathlib/Algebra/CharP/ExpChar.lean
93
97
theorem char_eq_expChar_iff (p q : ℕ) [hp : CharP R p] [hq : ExpChar R q] : p = q ↔ p.Prime := by
cases' hq with q hq_one hq_prime hq_hchar · rw [(CharP.eq R hp inferInstance : p = 0)] decide · exact ⟨fun hpq => hpq.symm ▸ hq_prime, fun _ => CharP.eq R hp hq_hchar⟩
4
54.59815
2
1.272727
11
1,345
import Mathlib.Data.Int.Order.Units import Mathlib.Data.ZMod.IntUnitsPower import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.LinearAlgebra.DirectSum.TensorProduct import Mathlib.Algebra.DirectSum.Algebra suppress_compilation open scoped TensorProduct DirectSum variable {R ι A B : Type*} namespace TensorProduct variable [CommSemiring ι] [Module ι (Additive ℤˣ)] [DecidableEq ι] variable (𝒜 : ι → Type*) (ℬ : ι → Type*) variable [CommRing R] variable [∀ i, AddCommGroup (𝒜 i)] [∀ i, AddCommGroup (ℬ i)] variable [∀ i, Module R (𝒜 i)] [∀ i, Module R (ℬ i)] variable [DirectSum.GRing 𝒜] [DirectSum.GRing ℬ] variable [DirectSum.GAlgebra R 𝒜] [DirectSum.GAlgebra R ℬ] -- this helps with performance instance (i : ι × ι) : Module R (𝒜 (Prod.fst i) ⊗[R] ℬ (Prod.snd i)) := TensorProduct.leftModule open DirectSum (lof) variable (R) section gradedComm local notation "𝒜ℬ" => (fun i : ι × ι => 𝒜 (Prod.fst i) ⊗[R] ℬ (Prod.snd i)) local notation "ℬ𝒜" => (fun i : ι × ι => ℬ (Prod.fst i) ⊗[R] 𝒜 (Prod.snd i)) def gradedCommAux : DirectSum _ 𝒜ℬ →ₗ[R] DirectSum _ ℬ𝒜 := by refine DirectSum.toModule R _ _ fun i => ?_ have o := DirectSum.lof R _ ℬ𝒜 i.swap have s : ℤˣ := ((-1 : ℤˣ)^(i.1* i.2 : ι) : ℤˣ) exact (s • o) ∘ₗ (TensorProduct.comm R _ _).toLinearMap @[simp] theorem gradedCommAux_lof_tmul (i j : ι) (a : 𝒜 i) (b : ℬ j) : gradedCommAux R 𝒜 ℬ (lof R _ 𝒜ℬ (i, j) (a ⊗ₜ b)) = (-1 : ℤˣ)^(j * i) • lof R _ ℬ𝒜 (j, i) (b ⊗ₜ a) := by rw [gradedCommAux] dsimp simp [mul_comm i j] @[simp]
Mathlib/LinearAlgebra/TensorProduct/Graded/External.lean
93
98
theorem gradedCommAux_comp_gradedCommAux : gradedCommAux R 𝒜 ℬ ∘ₗ gradedCommAux R ℬ 𝒜 = LinearMap.id := by
ext i a b dsimp rw [gradedCommAux_lof_tmul, LinearMap.map_smul_of_tower, gradedCommAux_lof_tmul, smul_smul, mul_comm i.2 i.1, Int.units_mul_self, one_smul]
4
54.59815
2
1.666667
6
1,805
import Mathlib.MeasureTheory.MeasurableSpace.Defs import Mathlib.SetTheory.Cardinal.Cofinality import Mathlib.SetTheory.Cardinal.Continuum #align_import measure_theory.card_measurable_space from "leanprover-community/mathlib"@"f2b108e8e97ba393f22bf794989984ddcc1da89b" universe u variable {α : Type u} open Cardinal Set -- Porting note: fix universe below, not here local notation "ω₁" => (WellOrder.α <| Quotient.out <| Cardinal.ord (aleph 1 : Cardinal)) namespace MeasurableSpace def generateMeasurableRec (s : Set (Set α)) : (ω₁ : Type u) → Set (Set α) | i => let S := ⋃ j : Iio i, generateMeasurableRec s (j.1) s ∪ {∅} ∪ compl '' S ∪ Set.range fun f : ℕ → S => ⋃ n, (f n).1 termination_by i => i decreasing_by exact j.2 #align measurable_space.generate_measurable_rec MeasurableSpace.generateMeasurableRec theorem self_subset_generateMeasurableRec (s : Set (Set α)) (i : ω₁) : s ⊆ generateMeasurableRec s i := by unfold generateMeasurableRec apply_rules [subset_union_of_subset_left] exact subset_rfl #align measurable_space.self_subset_generate_measurable_rec MeasurableSpace.self_subset_generateMeasurableRec theorem empty_mem_generateMeasurableRec (s : Set (Set α)) (i : ω₁) : ∅ ∈ generateMeasurableRec s i := by unfold generateMeasurableRec exact mem_union_left _ (mem_union_left _ (mem_union_right _ (mem_singleton ∅))) #align measurable_space.empty_mem_generate_measurable_rec MeasurableSpace.empty_mem_generateMeasurableRec theorem compl_mem_generateMeasurableRec {s : Set (Set α)} {i j : ω₁} (h : j < i) {t : Set α} (ht : t ∈ generateMeasurableRec s j) : tᶜ ∈ generateMeasurableRec s i := by unfold generateMeasurableRec exact mem_union_left _ (mem_union_right _ ⟨t, mem_iUnion.2 ⟨⟨j, h⟩, ht⟩, rfl⟩) #align measurable_space.compl_mem_generate_measurable_rec MeasurableSpace.compl_mem_generateMeasurableRec theorem iUnion_mem_generateMeasurableRec {s : Set (Set α)} {i : ω₁} {f : ℕ → Set α} (hf : ∀ n, ∃ j < i, f n ∈ generateMeasurableRec s j) : (⋃ n, f n) ∈ generateMeasurableRec s i := by unfold generateMeasurableRec exact mem_union_right _ ⟨fun n => ⟨f n, let ⟨j, hj, hf⟩ := hf n; mem_iUnion.2 ⟨⟨j, hj⟩, hf⟩⟩, rfl⟩ #align measurable_space.Union_mem_generate_measurable_rec MeasurableSpace.iUnion_mem_generateMeasurableRec theorem generateMeasurableRec_subset (s : Set (Set α)) {i j : ω₁} (h : i ≤ j) : generateMeasurableRec s i ⊆ generateMeasurableRec s j := fun x hx => by rcases eq_or_lt_of_le h with (rfl | h) · exact hx · convert iUnion_mem_generateMeasurableRec fun _ => ⟨i, h, hx⟩ exact (iUnion_const x).symm #align measurable_space.generate_measurable_rec_subset MeasurableSpace.generateMeasurableRec_subset
Mathlib/MeasureTheory/MeasurableSpace/Card.lean
91
113
theorem cardinal_generateMeasurableRec_le (s : Set (Set α)) (i : ω₁) : #(generateMeasurableRec s i) ≤ max #s 2 ^ aleph0.{u} := by
apply (aleph 1).ord.out.wo.wf.induction i intro i IH have A := aleph0_le_aleph 1 have B : aleph 1 ≤ max #s 2 ^ aleph0.{u} := aleph_one_le_continuum.trans (power_le_power_right (le_max_right _ _)) have C : ℵ₀ ≤ max #s 2 ^ aleph0.{u} := A.trans B have J : #(⋃ j : Iio i, generateMeasurableRec s j.1) ≤ max #s 2 ^ aleph0.{u} := by refine (mk_iUnion_le _).trans ?_ have D : ⨆ j : Iio i, #(generateMeasurableRec s j) ≤ _ := ciSup_le' fun ⟨j, hj⟩ => IH j hj apply (mul_le_mul' ((mk_subtype_le _).trans (aleph 1).mk_ord_out.le) D).trans rw [mul_eq_max A C] exact max_le B le_rfl rw [generateMeasurableRec] apply_rules [(mk_union_le _ _).trans, add_le_of_le C, mk_image_le.trans] · exact (le_max_left _ _).trans (self_le_power _ one_lt_aleph0.le) · rw [mk_singleton] exact one_lt_aleph0.le.trans C · apply mk_range_le.trans simp only [mk_pi, prod_const, lift_uzero, mk_denumerable, lift_aleph0] have := @power_le_power_right _ _ ℵ₀ J rwa [← power_mul, aleph0_mul_aleph0] at this
21
1,318,815,734.483215
2
1.333333
6
1,448
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]
5
148.413159
2
1
7
1,027
import Mathlib.Data.Fintype.List #align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49" assert_not_exists MonoidWithZero namespace List variable {α : Type*} [DecidableEq α] def nextOr : ∀ (_ : List α) (_ _ : α), α | [], _, default => default | [_], _, default => default -- Handles the not-found and the wraparound case | y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default #align list.next_or List.nextOr @[simp] theorem nextOr_nil (x d : α) : nextOr [] x d = d := rfl #align list.next_or_nil List.nextOr_nil @[simp] theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d := rfl #align list.next_or_singleton List.nextOr_singleton @[simp] theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y := if_pos rfl #align list.next_or_self_cons_cons List.nextOr_self_cons_cons theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) : nextOr (y :: xs) x d = nextOr xs x d := by cases' xs with z zs · rfl · exact if_neg h #align list.next_or_cons_of_ne List.nextOr_cons_of_ne theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs) (x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by induction' xs with y ys IH · cases x_mem cases' ys with z zs · simp at x_mem x_ne contradiction by_cases h : x = y · rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons] · rw [nextOr, nextOr, IH] · simpa [h] using x_mem · simpa using x_ne #align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne
Mathlib/Data/List/Cycle.lean
76
84
theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by
induction' xs with y ys IH · simp at h cases' ys with z zs · simp at h · by_cases hx : x = y · simp [hx] · rw [nextOr_cons_of_ne _ _ _ _ hx] at h simpa [hx] using IH h
8
2,980.957987
2
1.4
10
1,479
import Mathlib.Analysis.SpecialFunctions.Log.Base import Mathlib.MeasureTheory.Measure.MeasureSpaceDef #align_import measure_theory.measure.doubling from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" noncomputable section open Set Filter Metric MeasureTheory TopologicalSpace ENNReal NNReal Topology class IsUnifLocDoublingMeasure {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α) : Prop where exists_measure_closedBall_le_mul'' : ∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε) #align is_unif_loc_doubling_measure IsUnifLocDoublingMeasure namespace IsUnifLocDoublingMeasure variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α) [IsUnifLocDoublingMeasure μ] -- Porting note: added for missing infer kinds theorem exists_measure_closedBall_le_mul : ∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε) := exists_measure_closedBall_le_mul'' def doublingConstant : ℝ≥0 := Classical.choose <| exists_measure_closedBall_le_mul μ #align is_unif_loc_doubling_measure.doubling_constant IsUnifLocDoublingMeasure.doublingConstant theorem exists_measure_closedBall_le_mul' : ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ doublingConstant μ * μ (closedBall x ε) := Classical.choose_spec <| exists_measure_closedBall_le_mul μ #align is_unif_loc_doubling_measure.exists_measure_closed_ball_le_mul' IsUnifLocDoublingMeasure.exists_measure_closedBall_le_mul'
Mathlib/MeasureTheory/Measure/Doubling.lean
69
99
theorem exists_eventually_forall_measure_closedBall_le_mul (K : ℝ) : ∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, ∀ t ≤ K, μ (closedBall x (t * ε)) ≤ C * μ (closedBall x ε) := by
let C := doublingConstant μ have hμ : ∀ n : ℕ, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x ((2 : ℝ) ^ n * ε)) ≤ ↑(C ^ n) * μ (closedBall x ε) := by intro n induction' n with n ih · simp replace ih := eventually_nhdsWithin_pos_mul_left (two_pos : 0 < (2 : ℝ)) ih refine (ih.and (exists_measure_closedBall_le_mul' μ)).mono fun ε hε x => ?_ calc μ (closedBall x ((2 : ℝ) ^ (n + 1) * ε)) = μ (closedBall x ((2 : ℝ) ^ n * (2 * ε))) := by rw [pow_succ, mul_assoc] _ ≤ ↑(C ^ n) * μ (closedBall x (2 * ε)) := hε.1 x _ ≤ ↑(C ^ n) * (C * μ (closedBall x ε)) := by gcongr; exact hε.2 x _ = ↑(C ^ (n + 1)) * μ (closedBall x ε) := by rw [← mul_assoc, pow_succ, ENNReal.coe_mul] rcases lt_or_le K 1 with (hK | hK) · refine ⟨1, ?_⟩ simp only [ENNReal.coe_one, one_mul] refine eventually_mem_nhdsWithin.mono fun ε hε x t ht ↦ ?_ gcongr nlinarith [mem_Ioi.mp hε] · use C ^ ⌈Real.logb 2 K⌉₊ filter_upwards [hμ ⌈Real.logb 2 K⌉₊, eventually_mem_nhdsWithin] with ε hε hε₀ x t ht refine le_trans ?_ (hε x) gcongr · exact (mem_Ioi.mp hε₀).le · refine ht.trans ?_ rw [← Real.rpow_natCast, ← Real.logb_le_iff_le_rpow] exacts [Nat.le_ceil _, by norm_num, by linarith]
29
3,931,334,297,144.042
2
1.666667
3
1,819
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.Finsupp.Order #align_import data.finsupp.multiset from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" open Finset variable {α β ι : Type*} namespace Finsupp def toMultiset : (α →₀ ℕ) →+ Multiset α where toFun f := Finsupp.sum f fun a n => n • {a} -- Porting note: times out if h is not specified map_add' _f _g := sum_add_index' (h := fun a n => n • ({a} : Multiset α)) (fun _ ↦ zero_nsmul _) (fun _ ↦ add_nsmul _) map_zero' := sum_zero_index theorem toMultiset_zero : toMultiset (0 : α →₀ ℕ) = 0 := rfl #align finsupp.to_multiset_zero Finsupp.toMultiset_zero theorem toMultiset_add (m n : α →₀ ℕ) : toMultiset (m + n) = toMultiset m + toMultiset n := toMultiset.map_add m n #align finsupp.to_multiset_add Finsupp.toMultiset_add theorem toMultiset_apply (f : α →₀ ℕ) : toMultiset f = f.sum fun a n => n • {a} := rfl #align finsupp.to_multiset_apply Finsupp.toMultiset_apply @[simp] theorem toMultiset_single (a : α) (n : ℕ) : toMultiset (single a n) = n • {a} := by rw [toMultiset_apply, sum_single_index]; apply zero_nsmul #align finsupp.to_multiset_single Finsupp.toMultiset_single theorem toMultiset_sum {f : ι → α →₀ ℕ} (s : Finset ι) : Finsupp.toMultiset (∑ i ∈ s, f i) = ∑ i ∈ s, Finsupp.toMultiset (f i) := map_sum Finsupp.toMultiset _ _ #align finsupp.to_multiset_sum Finsupp.toMultiset_sum theorem toMultiset_sum_single (s : Finset ι) (n : ℕ) : Finsupp.toMultiset (∑ i ∈ s, single i n) = n • s.val := by simp_rw [toMultiset_sum, Finsupp.toMultiset_single, sum_nsmul, sum_multiset_singleton] #align finsupp.to_multiset_sum_single Finsupp.toMultiset_sum_single @[simp] theorem card_toMultiset (f : α →₀ ℕ) : Multiset.card (toMultiset f) = f.sum fun _ => id := by simp [toMultiset_apply, map_finsupp_sum, Function.id_def] #align finsupp.card_to_multiset Finsupp.card_toMultiset theorem toMultiset_map (f : α →₀ ℕ) (g : α → β) : f.toMultiset.map g = toMultiset (f.mapDomain g) := by refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.map_zero, mapDomain_zero, toMultiset_zero] · intro a n f _ _ ih rw [toMultiset_add, Multiset.map_add, ih, mapDomain_add, mapDomain_single, toMultiset_single, toMultiset_add, toMultiset_single, ← Multiset.coe_mapAddMonoidHom, (Multiset.mapAddMonoidHom g).map_nsmul] rfl #align finsupp.to_multiset_map Finsupp.toMultiset_map @[to_additive (attr := simp)] theorem prod_toMultiset [CommMonoid α] (f : α →₀ ℕ) : f.toMultiset.prod = f.prod fun a n => a ^ n := by refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.prod_zero, Finsupp.prod_zero_index] · intro a n f _ _ ih rw [toMultiset_add, Multiset.prod_add, ih, toMultiset_single, Multiset.prod_nsmul, Finsupp.prod_add_index' pow_zero pow_add, Finsupp.prod_single_index, Multiset.prod_singleton] exact pow_zero a #align finsupp.prod_to_multiset Finsupp.prod_toMultiset @[simp] theorem toFinset_toMultiset [DecidableEq α] (f : α →₀ ℕ) : f.toMultiset.toFinset = f.support := by refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.toFinset_zero, support_zero] · intro a n f ha hn ih rw [toMultiset_add, Multiset.toFinset_add, ih, toMultiset_single, support_add_eq, support_single_ne_zero _ hn, Multiset.toFinset_nsmul _ _ hn, Multiset.toFinset_singleton] refine Disjoint.mono_left support_single_subset ?_ rwa [Finset.disjoint_singleton_left] #align finsupp.to_finset_to_multiset Finsupp.toFinset_toMultiset @[simp]
Mathlib/Data/Finsupp/Multiset.lean
105
114
theorem count_toMultiset [DecidableEq α] (f : α →₀ ℕ) (a : α) : (toMultiset f).count a = f a := calc (toMultiset f).count a = Finsupp.sum f (fun x n => (n • {x} : Multiset α).count a) := by
rw [toMultiset_apply]; exact map_sum (Multiset.countAddMonoidHom a) _ f.support _ = f.sum fun x n => n * ({x} : Multiset α).count a := by simp only [Multiset.count_nsmul] _ = f a * ({a} : Multiset α).count a := sum_eq_single _ (fun a' _ H => by simp only [Multiset.count_singleton, if_false, H.symm, mul_zero]) (fun _ => zero_mul _) _ = f a := by rw [Multiset.count_singleton_self, mul_one]
7
1,096.633158
2
1.111111
9
1,194
import Mathlib.CategoryTheory.Adjunction.Unique import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Sites.Sheaf import Mathlib.CategoryTheory.Limits.Preserves.Finite universe v₁ v₂ u₁ u₂ namespace CategoryTheory open Limits variable {C : Type u₁} [Category.{v₁} C] (J : GrothendieckTopology C) variable (A : Type u₂) [Category.{v₂} A] abbrev HasWeakSheafify : Prop := (sheafToPresheaf J A).IsRightAdjoint class HasSheafify : Prop where isRightAdjoint : HasWeakSheafify J A isLeftExact : Nonempty (PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint)) instance [HasSheafify J A] : HasWeakSheafify J A := HasSheafify.isRightAdjoint noncomputable section instance [HasSheafify J A] : PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint) := HasSheafify.isLeftExact.some theorem HasSheafify.mk' {F : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A} (adj : F ⊣ sheafToPresheaf J A) [PreservesFiniteLimits F] : HasSheafify J A where isRightAdjoint := ⟨F, ⟨adj⟩⟩ isLeftExact := ⟨by have : (sheafToPresheaf J A).IsRightAdjoint := ⟨_, ⟨adj⟩⟩ exact ⟨fun _ _ _ ↦ preservesLimitsOfShapeOfNatIso (adj.leftAdjointUniq (Adjunction.ofIsRightAdjoint (sheafToPresheaf J A)))⟩⟩ def presheafToSheaf [HasWeakSheafify J A] : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A := (sheafToPresheaf J A).leftAdjoint instance [HasSheafify J A] : PreservesFiniteLimits (presheafToSheaf J A) := HasSheafify.isLeftExact.some def sheafificationAdjunction [HasWeakSheafify J A] : presheafToSheaf J A ⊣ sheafToPresheaf J A := Adjunction.ofIsRightAdjoint _ instance [HasWeakSheafify J A] : (presheafToSheaf J A).IsLeftAdjoint := ⟨_, ⟨sheafificationAdjunction J A⟩⟩ end variable {D : Type*} [Category D] [HasWeakSheafify J D] noncomputable abbrev sheafify (P : Cᵒᵖ ⥤ D) : Cᵒᵖ ⥤ D := presheafToSheaf J D |>.obj P |>.val noncomputable abbrev toSheafify (P : Cᵒᵖ ⥤ D) : P ⟶ sheafify J P := sheafificationAdjunction J D |>.unit.app P @[simp] theorem sheafificationAdjunction_unit_app (P : Cᵒᵖ ⥤ D) : (sheafificationAdjunction J D).unit.app P = toSheafify J P := rfl noncomputable abbrev sheafifyMap {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : sheafify J P ⟶ sheafify J Q := presheafToSheaf J D |>.map η |>.val @[simp] theorem sheafifyMap_id (P : Cᵒᵖ ⥤ D) : sheafifyMap J (𝟙 P) = 𝟙 (sheafify J P) := by simp [sheafifyMap, sheafify] @[simp] theorem sheafifyMap_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) : sheafifyMap J (η ≫ γ) = sheafifyMap J η ≫ sheafifyMap J γ := by simp [sheafifyMap, sheafify] @[reassoc (attr := simp)] theorem toSheafify_naturality {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : η ≫ toSheafify J _ = toSheafify J _ ≫ sheafifyMap J η := sheafificationAdjunction J D |>.unit.naturality η variable (D) noncomputable abbrev sheafification : (Cᵒᵖ ⥤ D) ⥤ Cᵒᵖ ⥤ D := presheafToSheaf J D ⋙ sheafToPresheaf J D theorem sheafification_obj (P : Cᵒᵖ ⥤ D) : (sheafification J D).obj P = sheafify J P := rfl theorem sheafification_map {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : (sheafification J D).map η = sheafifyMap J η := rfl noncomputable abbrev toSheafification : 𝟭 _ ⟶ sheafification J D := sheafificationAdjunction J D |>.unit theorem toSheafification_app (P : Cᵒᵖ ⥤ D) : (toSheafification J D).app P = toSheafify J P := rfl variable {D}
Mathlib/CategoryTheory/Sites/Sheafification.lean
131
138
theorem isIso_toSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : IsIso (toSheafify J P) := by
refine ⟨(sheafificationAdjunction J D |>.counit.app ⟨P, hP⟩).val, ?_, ?_⟩ · change _ = (𝟙 (sheafToPresheaf J D ⋙ 𝟭 (Cᵒᵖ ⥤ D)) : _).app ⟨P, hP⟩ rw [← sheafificationAdjunction J D |>.right_triangle] rfl · change (sheafToPresheaf _ _).map _ ≫ _ = _ change _ ≫ (sheafificationAdjunction J D).unit.app ((sheafToPresheaf J D).obj ⟨P, hP⟩) = _ erw [← (sheafificationAdjunction J D).inv_counit_map (X := ⟨P, hP⟩), comp_inv_eq_id]
7
1,096.633158
2
0.666667
3
614
import Mathlib.LinearAlgebra.Basis.VectorSpace import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.SetTheory.Cardinal.Subfield import Mathlib.LinearAlgebra.Dimension.RankNullity #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u₀ u v v' v'' u₁' w w' variable {K R : Type u} {V V₁ V₂ V₃ : Type v} {V' V'₁ : Type v'} {V'' : Type v''} variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*} open Cardinal Basis Submodule Function Set section Module section Cardinal variable (K) variable [DivisionRing K]
Mathlib/LinearAlgebra/Dimension/DivisionRing.lean
239
283
theorem max_aleph0_card_le_rank_fun_nat : max ℵ₀ #K ≤ Module.rank K (ℕ → K) := by
have aleph0_le : ℵ₀ ≤ Module.rank K (ℕ → K) := (rank_finsupp_self K ℕ).symm.trans_le (Finsupp.lcoeFun.rank_le_of_injective <| by exact DFunLike.coe_injective) refine max_le aleph0_le ?_ obtain card_K | card_K := le_or_lt #K ℵ₀ · exact card_K.trans aleph0_le by_contra! obtain ⟨⟨ιK, bK⟩⟩ := Module.Free.exists_basis (R := K) (M := ℕ → K) let L := Subfield.closure (Set.range (fun i : ιK × ℕ ↦ bK i.1 i.2)) have hLK : #L < #K := by refine (Subfield.cardinal_mk_closure_le_max _).trans_lt (max_lt_iff.mpr ⟨mk_range_le.trans_lt ?_, card_K⟩) rwa [mk_prod, ← aleph0, lift_uzero, bK.mk_eq_rank'', mul_aleph0_eq aleph0_le] letI := Module.compHom K (RingHom.op L.subtype) obtain ⟨⟨ιL, bL⟩⟩ := Module.Free.exists_basis (R := Lᵐᵒᵖ) (M := K) have card_ιL : ℵ₀ ≤ #ιL := by contrapose! hLK haveI := @Fintype.ofFinite _ (lt_aleph0_iff_finite.mp hLK) rw [bL.repr.toEquiv.cardinal_eq, mk_finsupp_of_fintype, ← MulOpposite.opEquiv.cardinal_eq] at card_K ⊢ apply power_nat_le contrapose! card_K exact (power_lt_aleph0 card_K <| nat_lt_aleph0 _).le obtain ⟨e⟩ := lift_mk_le'.mp (card_ιL.trans_eq (lift_uzero #ιL).symm) have rep_e := bK.total_repr (bL ∘ e) rw [Finsupp.total_apply, Finsupp.sum] at rep_e set c := bK.repr (bL ∘ e) set s := c.support let f i (j : s) : L := ⟨bK j i, Subfield.subset_closure ⟨(j, i), rfl⟩⟩ have : ¬LinearIndependent Lᵐᵒᵖ f := fun h ↦ by have := h.cardinal_lift_le_rank rw [lift_uzero, (LinearEquiv.piCongrRight fun _ ↦ MulOpposite.opLinearEquiv Lᵐᵒᵖ).rank_eq, rank_fun'] at this exact (nat_lt_aleph0 _).not_le this obtain ⟨t, g, eq0, i, hi, hgi⟩ := not_linearIndependent_iff.mp this refine hgi (linearIndependent_iff'.mp (bL.linearIndependent.comp e e.injective) t g ?_ i hi) clear_value c s simp_rw [← rep_e, Finset.sum_apply, Pi.smul_apply, Finset.smul_sum] rw [Finset.sum_comm] refine Finset.sum_eq_zero fun i hi ↦ ?_ replace eq0 := congr_arg L.subtype (congr_fun eq0 ⟨i, hi⟩) rw [Finset.sum_apply, map_sum] at eq0 have : SMulCommClass Lᵐᵒᵖ K K := ⟨fun _ _ _ ↦ mul_assoc _ _ _⟩ simp_rw [smul_comm _ (c i), ← Finset.smul_sum] erw [eq0, smul_zero]
44
12,851,600,114,359,308,000
2
1.625
8
1,748
import Mathlib.CategoryTheory.Limits.Types import Mathlib.CategoryTheory.IsConnected import Mathlib.CategoryTheory.Limits.Final import Mathlib.CategoryTheory.Conj universe w v u namespace CategoryTheory.Limits.Types variable (C : Type u) [Category.{v} C] def constPUnitFunctor : C ⥤ Type w := (Functor.const C).obj PUnit.{w + 1} @[simps] def pUnitCocone : Cocone (constPUnitFunctor.{w} C) where pt := PUnit ι := { app := fun X => id } noncomputable def isColimitPUnitCocone [IsConnected C] : IsColimit (pUnitCocone.{w} C) where desc s := s.ι.app Classical.ofNonempty fac s j := by ext ⟨⟩ apply constant_of_preserves_morphisms (s.ι.app · PUnit.unit) intros X Y f exact congrFun (s.ι.naturality f).symm PUnit.unit uniq s m h := by ext ⟨⟩ simp [← h Classical.ofNonempty] instance instHasColimitConstPUnitFunctor [IsConnected C] : HasColimit (constPUnitFunctor.{w} C) := ⟨_, isColimitPUnitCocone _⟩ instance instSubsingletonColimitPUnit [IsPreconnected C] [HasColimit (constPUnitFunctor.{w} C)] : Subsingleton (colimit (constPUnitFunctor.{w} C)) where allEq a b := by obtain ⟨c, ⟨⟩, rfl⟩ := jointly_surjective' a obtain ⟨d, ⟨⟩, rfl⟩ := jointly_surjective' b apply constant_of_preserves_morphisms (colimit.ι (constPUnitFunctor C) · PUnit.unit) exact fun c d f => colimit_sound f rfl noncomputable def colimitConstPUnitIsoPUnit [IsConnected C] : colimit (constPUnitFunctor.{w} C) ≅ PUnit.{w + 1} := IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (isColimitPUnitCocone.{w} C) theorem zigzag_of_eqvGen_quot_rel (F : C ⥤ Type w) (c d : Σ j, F.obj j) (h : EqvGen (Quot.Rel F) c d) : Zigzag c.1 d.1 := by induction h with | rel _ _ h => exact Zigzag.of_hom <| Exists.choose h | refl _ => exact Zigzag.refl _ | symm _ _ _ ih => exact zigzag_symmetric ih | trans _ _ _ _ _ ih₁ ih₂ => exact ih₁.trans ih₂ theorem isConnected_iff_colimit_constPUnitFunctor_iso_pUnit [HasColimit (constPUnitFunctor.{w} C)] : IsConnected C ↔ Nonempty (colimit (constPUnitFunctor.{w} C) ≅ PUnit) := by refine ⟨fun _ => ⟨colimitConstPUnitIsoPUnit.{w} C⟩, fun ⟨h⟩ => ?_⟩ have : Nonempty C := nonempty_of_nonempty_colimit <| Nonempty.map h.inv inferInstance refine zigzag_isConnected <| fun c d => ?_ refine zigzag_of_eqvGen_quot_rel _ (constPUnitFunctor C) ⟨c, PUnit.unit⟩ ⟨d, PUnit.unit⟩ ?_ exact colimit_eq <| h.toEquiv.injective rfl theorem isConnected_iff_isColimit_pUnitCocone : IsConnected C ↔ Nonempty (IsColimit (pUnitCocone.{w} C)) := by refine ⟨fun inst => ⟨isColimitPUnitCocone C⟩, fun ⟨h⟩ => ?_⟩ let colimitCocone : ColimitCocone (constPUnitFunctor C) := ⟨pUnitCocone.{w} C, h⟩ have : HasColimit (constPUnitFunctor.{w} C) := ⟨⟨colimitCocone⟩⟩ simp only [isConnected_iff_colimit_constPUnitFunctor_iso_pUnit.{w} C] exact ⟨colimit.isoColimitCocone colimitCocone⟩ universe v₂ u₂ variable {C : Type u} {D: Type u₂} [Category.{v} C] [Category.{v₂} D]
Mathlib/CategoryTheory/Limits/IsConnected.lean
118
123
theorem isConnected_iff_of_final (F : C ⥤ D) [CategoryTheory.Functor.Final F] : IsConnected C ↔ IsConnected D := by
rw [isConnected_iff_colimit_constPUnitFunctor_iso_pUnit.{max v u v₂ u₂} C, isConnected_iff_colimit_constPUnitFunctor_iso_pUnit.{max v u v₂ u₂} D] exact Equiv.nonempty_congr <| Iso.isoCongrLeft <| CategoryTheory.Functor.Final.colimitIso F <| constPUnitFunctor.{max u v u₂ v₂} D
4
54.59815
2
2
4
2,211
import Mathlib.Topology.ContinuousOn import Mathlib.Order.Minimal open Set Classical variable {X : Type*} {Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Preirreducible def IsPreirreducible (s : Set X) : Prop := ∀ u v : Set X, IsOpen u → IsOpen v → (s ∩ u).Nonempty → (s ∩ v).Nonempty → (s ∩ (u ∩ v)).Nonempty #align is_preirreducible IsPreirreducible def IsIrreducible (s : Set X) : Prop := s.Nonempty ∧ IsPreirreducible s #align is_irreducible IsIrreducible theorem IsIrreducible.nonempty (h : IsIrreducible s) : s.Nonempty := h.1 #align is_irreducible.nonempty IsIrreducible.nonempty theorem IsIrreducible.isPreirreducible (h : IsIrreducible s) : IsPreirreducible s := h.2 #align is_irreducible.is_preirreducible IsIrreducible.isPreirreducible theorem isPreirreducible_empty : IsPreirreducible (∅ : Set X) := fun _ _ _ _ _ ⟨_, h1, _⟩ => h1.elim #align is_preirreducible_empty isPreirreducible_empty theorem Set.Subsingleton.isPreirreducible (hs : s.Subsingleton) : IsPreirreducible s := fun _u _v _ _ ⟨_x, hxs, hxu⟩ ⟨y, hys, hyv⟩ => ⟨y, hys, hs hxs hys ▸ hxu, hyv⟩ #align set.subsingleton.is_preirreducible Set.Subsingleton.isPreirreducible -- Porting note (#10756): new lemma theorem isPreirreducible_singleton {x} : IsPreirreducible ({x} : Set X) := subsingleton_singleton.isPreirreducible theorem isIrreducible_singleton {x} : IsIrreducible ({x} : Set X) := ⟨singleton_nonempty x, isPreirreducible_singleton⟩ #align is_irreducible_singleton isIrreducible_singleton theorem isPreirreducible_iff_closure : IsPreirreducible (closure s) ↔ IsPreirreducible s := forall₄_congr fun u v hu hv => by iterate 3 rw [closure_inter_open_nonempty_iff] exacts [hu.inter hv, hv, hu] #align is_preirreducible_iff_closure isPreirreducible_iff_closure theorem isIrreducible_iff_closure : IsIrreducible (closure s) ↔ IsIrreducible s := and_congr closure_nonempty_iff isPreirreducible_iff_closure #align is_irreducible_iff_closure isIrreducible_iff_closure protected alias ⟨_, IsPreirreducible.closure⟩ := isPreirreducible_iff_closure #align is_preirreducible.closure IsPreirreducible.closure protected alias ⟨_, IsIrreducible.closure⟩ := isIrreducible_iff_closure #align is_irreducible.closure IsIrreducible.closure theorem exists_preirreducible (s : Set X) (H : IsPreirreducible s) : ∃ t : Set X, IsPreirreducible t ∧ s ⊆ t ∧ ∀ u, IsPreirreducible u → t ⊆ u → u = t := let ⟨m, hm, hsm, hmm⟩ := zorn_subset_nonempty { t : Set X | IsPreirreducible t } (fun c hc hcc _ => ⟨⋃₀ c, fun u v hu hv ⟨y, hy, hyu⟩ ⟨x, hx, hxv⟩ => let ⟨p, hpc, hyp⟩ := mem_sUnion.1 hy let ⟨q, hqc, hxq⟩ := mem_sUnion.1 hx Or.casesOn (hcc.total hpc hqc) (fun hpq : p ⊆ q => let ⟨x, hxp, hxuv⟩ := hc hqc u v hu hv ⟨y, hpq hyp, hyu⟩ ⟨x, hxq, hxv⟩ ⟨x, mem_sUnion_of_mem hxp hqc, hxuv⟩) fun hqp : q ⊆ p => let ⟨x, hxp, hxuv⟩ := hc hpc u v hu hv ⟨y, hyp, hyu⟩ ⟨x, hqp hxq, hxv⟩ ⟨x, mem_sUnion_of_mem hxp hpc, hxuv⟩, fun _ hxc => subset_sUnion_of_mem hxc⟩) s H ⟨m, hm, hsm, fun _u hu hmu => hmm _ hu hmu⟩ #align exists_preirreducible exists_preirreducible def irreducibleComponents (X : Type*) [TopologicalSpace X] : Set (Set X) := maximals (· ≤ ·) { s : Set X | IsIrreducible s } #align irreducible_components irreducibleComponents theorem isClosed_of_mem_irreducibleComponents (s) (H : s ∈ irreducibleComponents X) : IsClosed s := by rw [← closure_eq_iff_isClosed, eq_comm] exact subset_closure.antisymm (H.2 H.1.closure subset_closure) #align is_closed_of_mem_irreducible_components isClosed_of_mem_irreducibleComponents
Mathlib/Topology/Irreducible.lean
118
127
theorem irreducibleComponents_eq_maximals_closed (X : Type*) [TopologicalSpace X] : irreducibleComponents X = maximals (· ≤ ·) { s : Set X | IsClosed s ∧ IsIrreducible s } := by
ext s constructor · intro H exact ⟨⟨isClosed_of_mem_irreducibleComponents _ H, H.1⟩, fun x h e => H.2 h.2 e⟩ · intro H refine ⟨H.1.2, fun x h e => ?_⟩ have : closure x ≤ s := H.2 ⟨isClosed_closure, h.closure⟩ (e.trans subset_closure) exact le_trans subset_closure this
8
2,980.957987
2
1.5
2
1,645
import Mathlib.CategoryTheory.EffectiveEpi.Preserves import Mathlib.CategoryTheory.Limits.Final.ParallelPair import Mathlib.CategoryTheory.Preadditive.Projective import Mathlib.CategoryTheory.Sites.Canonical import Mathlib.CategoryTheory.Sites.Coherent.Basic import Mathlib.CategoryTheory.Sites.EffectiveEpimorphic namespace CategoryTheory open Limits variable {C D E : Type*} [Category C] [Category D] [Category E] open Opposite Presieve Functor class Presieve.regular {X : C} (R : Presieve X) : Prop where single_epi : ∃ (Y : C) (f : Y ⟶ X), R = Presieve.ofArrows (fun (_ : Unit) ↦ Y) (fun (_ : Unit) ↦ f) ∧ EffectiveEpi f namespace regularTopology lemma equalizerCondition_w (P : Cᵒᵖ ⥤ D) {X B : C} {π : X ⟶ B} (c : PullbackCone π π) : P.map π.op ≫ P.map c.fst.op = P.map π.op ≫ P.map c.snd.op := by simp only [← Functor.map_comp, ← op_comp, c.condition] def SingleEqualizerCondition (P : Cᵒᵖ ⥤ D) ⦃X B : C⦄ (π : X ⟶ B) : Prop := ∀ (c : PullbackCone π π) (_ : IsLimit c), Nonempty (IsLimit (Fork.ofι (P.map π.op) (equalizerCondition_w P c))) def EqualizerCondition (P : Cᵒᵖ ⥤ D) : Prop := ∀ ⦃X B : C⦄ (π : X ⟶ B) [EffectiveEpi π], SingleEqualizerCondition P π theorem equalizerCondition_of_natIso {P P' : Cᵒᵖ ⥤ D} (i : P ≅ P') (hP : EqualizerCondition P) : EqualizerCondition P' := fun X B π _ c hc ↦ ⟨Fork.isLimitOfIsos _ (hP π c hc).some _ (i.app _) (i.app _) (i.app _)⟩
Mathlib/CategoryTheory/Sites/Coherent/RegularSheaves.lean
69
79
theorem equalizerCondition_precomp_of_preservesPullback (P : Cᵒᵖ ⥤ D) (F : E ⥤ C) [∀ {X B} (π : X ⟶ B) [EffectiveEpi π], PreservesLimit (cospan π π) F] [F.PreservesEffectiveEpis] (hP : EqualizerCondition P) : EqualizerCondition (F.op ⋙ P) := by
intro X B π _ c hc have h : P.map (F.map π).op = (F.op ⋙ P).map π.op := by simp refine ⟨(IsLimit.equivIsoLimit (ForkOfι.ext ?_ _ h)) ?_⟩ · simp only [Functor.comp_map, op_map, Quiver.Hom.unop_op, ← map_comp, ← op_comp, c.condition] · refine (hP (F.map π) (PullbackCone.mk (F.map c.fst) (F.map c.snd) ?_) ?_).some · simp only [← map_comp, c.condition] · exact (isLimitMapConePullbackConeEquiv F c.condition) (isLimitOfPreserves F (hc.ofIsoLimit (PullbackCone.ext (Iso.refl _) (by simp) (by simp))))
8
2,980.957987
2
2
3
1,987
import Mathlib.Order.PrimeIdeal import Mathlib.Order.Zorn universe u variable {α : Type*} open Order Ideal Set variable [DistribLattice α] [BoundedOrder α] variable {F : PFilter α} {I : Ideal α} namespace DistribLattice lemma mem_ideal_sup_principal (a b : α) (J : Ideal α) : b ∈ J ⊔ principal a ↔ ∃ j ∈ J, b ≤ j ⊔ a := ⟨fun ⟨j, ⟨jJ, _, ha', bja'⟩⟩ => ⟨j, jJ, le_trans bja' (sup_le_sup_left ha' j)⟩, fun ⟨j, hj, hbja⟩ => ⟨j, hj, a, le_refl a, hbja⟩⟩
Mathlib/Order/PrimeSeparator.lean
46
143
theorem prime_ideal_of_disjoint_filter_ideal (hFI : Disjoint (F : Set α) (I : Set α)) : ∃ J : Ideal α, (IsPrime J) ∧ I ≤ J ∧ Disjoint (F : Set α) J := by
-- Let S be the set of ideals containing I and disjoint from F. set S : Set (Set α) := { J : Set α | IsIdeal J ∧ I ≤ J ∧ Disjoint (F : Set α) J } -- Then I is in S... have IinS : ↑I ∈ S := by refine ⟨Order.Ideal.isIdeal I, by trivial⟩ -- ...and S contains upper bounds for any non-empty chains. have chainub : ∀ c ⊆ S, IsChain (· ⊆ ·) c → c.Nonempty → ∃ ub ∈ S, ∀ s ∈ c, s ⊆ ub := by intros c hcS hcC hcNe use sUnion c refine ⟨?_, fun s hs ↦ le_sSup hs⟩ simp only [le_eq_subset, mem_setOf_eq, disjoint_sUnion_right, S] let ⟨J, hJ⟩ := hcNe refine ⟨Order.isIdeal_sUnion_of_isChain (fun _ hJ ↦ (hcS hJ).1) hcC hcNe, ⟨le_trans (hcS hJ).2.1 (le_sSup hJ), fun J hJ ↦ (hcS hJ).2.2⟩⟩ -- Thus, by Zorn's lemma, we can pick a maximal ideal J in S. obtain ⟨Jset, ⟨Jidl, IJ, JF⟩, ⟨_, Jmax⟩⟩ := zorn_subset_nonempty S chainub I IinS set J := IsIdeal.toIdeal Jidl use J have IJ' : I ≤ J := IJ clear chainub IinS -- By construction, J contains I and is disjoint from F. It remains to prove that J is prime. refine ⟨?_, ⟨IJ, JF⟩⟩ -- First note that J is proper: ⊤ ∈ F so ⊤ ∉ J because F and J are disjoint. have Jpr : IsProper J := isProper_of_not_mem (Set.disjoint_left.1 JF F.top_mem) -- Suppose that a₁ ∉ J, a₂ ∉ J. We need to prove that a₁ ⊔ a₂ ∉ J. rw [isPrime_iff_mem_or_mem] intros a₁ a₂ contrapose! intro ⟨ha₁, ha₂⟩ -- Consider the ideals J₁, J₂ generated by J ∪ {a₁} and J ∪ {a₂}, respectively. let J₁ := J ⊔ principal a₁ let J₂ := J ⊔ principal a₂ -- For each i, Jᵢ is an ideal that contains aᵢ, and is not equal to J. have a₁J₁ : a₁ ∈ J₁ := mem_of_subset_of_mem (le_sup_right : _ ≤ J ⊔ _) mem_principal_self have a₂J₂ : a₂ ∈ J₂ := mem_of_subset_of_mem (le_sup_right : _ ≤ J ⊔ _) mem_principal_self have J₁J : ↑J₁ ≠ Jset := ne_of_mem_of_not_mem' a₁J₁ ha₁ have J₂J : ↑J₂ ≠ Jset := ne_of_mem_of_not_mem' a₂J₂ ha₂ -- Therefore, since J is maximal, we must have Jᵢ ∉ S. have J₁S : ↑J₁ ∉ S := fun h => J₁J (Jmax J₁ h (le_sup_left : J ≤ J₁)) have J₂S : ↑J₂ ∉ S := fun h => J₂J (Jmax J₂ h (le_sup_left : J ≤ J₂)) -- Since Jᵢ is an ideal that contains I, we have that Jᵢ is not disjoint from F. have J₁F : ¬ (Disjoint (F : Set α) J₁) := by intro hdis apply J₁S simp only [le_eq_subset, mem_setOf_eq, SetLike.coe_subset_coe, S] exact ⟨J₁.isIdeal, le_trans IJ' le_sup_left, hdis⟩ have J₂F : ¬ (Disjoint (F : Set α) J₂) := by intro hdis apply J₂S simp only [le_eq_subset, mem_setOf_eq, SetLike.coe_subset_coe, S] exact ⟨J₂.isIdeal, le_trans IJ' le_sup_left, hdis⟩ -- Thus, pick cᵢ ∈ F ∩ Jᵢ. let ⟨c₁, ⟨c₁F, c₁J₁⟩⟩ := Set.not_disjoint_iff.1 J₁F let ⟨c₂, ⟨c₂F, c₂J₂⟩⟩ := Set.not_disjoint_iff.1 J₂F -- Using the definition of Jᵢ, we can pick bᵢ ∈ J such that cᵢ ≤ bᵢ ⊔ aᵢ. let ⟨b₁, ⟨b₁J, cba₁⟩⟩ := (mem_ideal_sup_principal a₁ c₁ J).1 c₁J₁ let ⟨b₂, ⟨b₂J, cba₂⟩⟩ := (mem_ideal_sup_principal a₂ c₂ J).1 c₂J₂ -- Since J is an ideal, we have b := b₁ ⊔ b₂ ∈ J. let b := b₁ ⊔ b₂ have bJ : b ∈ J := sup_mem b₁J b₂J -- We now prove a key inequality, using crucially that the lattice is distributive. have ineq : c₁ ⊓ c₂ ≤ b ⊔ (a₁ ⊓ a₂) := calc c₁ ⊓ c₂ ≤ (b₁ ⊔ a₁) ⊓ (b₂ ⊔ a₂) := inf_le_inf cba₁ cba₂ _ ≤ (b ⊔ a₁) ⊓ (b ⊔ a₂) := by apply inf_le_inf <;> apply sup_le_sup_right; exact le_sup_left; exact le_sup_right _ = b ⊔ (a₁ ⊓ a₂) := (sup_inf_left b a₁ a₂).symm -- Note that c₁ ⊓ c₂ ∈ F, since c₁ and c₂ are both in F and F is a filter. -- Since F is an upper set, it now follows that b ⊔ (a₁ ⊓ a₂) ∈ F. have ba₁a₂F : b ⊔ (a₁ ⊓ a₂) ∈ F := PFilter.mem_of_le ineq (PFilter.inf_mem c₁F c₂F) -- Now, if we would have a₁ ⊓ a₂ ∈ J, then, since J is an ideal and b ∈ J, we would also get -- b ⊔ (a₁ ⊓ a₂) ∈ J. But this contradicts that J is disjoint from F. contrapose! JF with ha₁a₂ rw [Set.not_disjoint_iff] use b ⊔ (a₁ ⊓ a₂) exact ⟨ba₁a₂F, sup_mem bJ ha₁a₂⟩
76
1,014,800,388,113,888,700,000,000,000,000,000
2
2
1
2,455
import Mathlib.LinearAlgebra.QuadraticForm.TensorProduct import Mathlib.LinearAlgebra.QuadraticForm.IsometryEquiv suppress_compilation universe uR uM₁ uM₂ uM₃ uM₄ variable {R : Type uR} {M₁ : Type uM₁} {M₂ : Type uM₂} {M₃ : Type uM₃} {M₄ : Type uM₄} open scoped TensorProduct namespace QuadraticForm variable [CommRing R] variable [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M₄] variable [Module R M₁] [Module R M₂] [Module R M₃] [Module R M₄] [Invertible (2 : R)] @[simp] theorem tmul_comp_tensorMap {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} {Q₃ : QuadraticForm R M₃} {Q₄ : QuadraticForm R M₄} (f : Q₁ →qᵢ Q₂) (g : Q₃ →qᵢ Q₄) : (Q₂.tmul Q₄).comp (TensorProduct.map f.toLinearMap g.toLinearMap) = Q₁.tmul Q₃ := by have h₁ : Q₁ = Q₂.comp f.toLinearMap := QuadraticForm.ext fun x => (f.map_app x).symm have h₃ : Q₃ = Q₄.comp g.toLinearMap := QuadraticForm.ext fun x => (g.map_app x).symm refine (QuadraticForm.associated_rightInverse R).injective ?_ ext m₁ m₃ m₁' m₃' simp [-associated_apply, h₁, h₃, associated_tmul] @[simp] theorem tmul_tensorMap_apply {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} {Q₃ : QuadraticForm R M₃} {Q₄ : QuadraticForm R M₄} (f : Q₁ →qᵢ Q₂) (g : Q₃ →qᵢ Q₄) (x : M₁ ⊗[R] M₃) : Q₂.tmul Q₄ (TensorProduct.map f.toLinearMap g.toLinearMap x) = Q₁.tmul Q₃ x := DFunLike.congr_fun (tmul_comp_tensorMap f g) x section tensorLId
Mathlib/LinearAlgebra/QuadraticForm/TensorProduct/Isometries.lean
186
192
theorem comp_tensorLId_eq (Q₂ : QuadraticForm R M₂) : Q₂.comp (TensorProduct.lid R M₂) = (sq (R := R)).tmul Q₂ := by
refine (QuadraticForm.associated_rightInverse R).injective ?_ ext m₂ m₂' dsimp [-associated_apply] simp only [associated_tmul, QuadraticForm.associated_comp] simp [-associated_apply, mul_one]
5
148.413159
2
2
5
2,134
import Mathlib.Data.Finset.Basic import Mathlib.ModelTheory.Syntax import Mathlib.Data.List.ProdSigma #align_import model_theory.semantics from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728" universe u v w u' v' namespace FirstOrder namespace Language variable {L : Language.{u, v}} {L' : Language} variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P] variable {α : Type u'} {β : Type v'} {γ : Type*} open FirstOrder Cardinal open Structure Cardinal Fin namespace Term -- Porting note: universes in different order def realize (v : α → M) : ∀ _t : L.Term α, M | var k => v k | func f ts => funMap f fun i => (ts i).realize v #align first_order.language.term.realize FirstOrder.Language.Term.realize @[simp] theorem realize_var (v : α → M) (k) : realize v (var k : L.Term α) = v k := rfl @[simp] theorem realize_func (v : α → M) {n} (f : L.Functions n) (ts) : realize v (func f ts : L.Term α) = funMap f fun i => (ts i).realize v := rfl @[simp] theorem realize_relabel {t : L.Term α} {g : α → β} {v : β → M} : (t.relabel g).realize v = t.realize (v ∘ g) := by induction' t with _ n f ts ih · rfl · simp [ih] #align first_order.language.term.realize_relabel FirstOrder.Language.Term.realize_relabel @[simp] theorem realize_liftAt {n n' m : ℕ} {t : L.Term (Sum α (Fin n))} {v : Sum α (Fin (n + n')) → M} : (t.liftAt n' m).realize v = t.realize (v ∘ Sum.map id fun i : Fin _ => if ↑i < m then Fin.castAdd n' i else Fin.addNat i n') := realize_relabel #align first_order.language.term.realize_lift_at FirstOrder.Language.Term.realize_liftAt @[simp] theorem realize_constants {c : L.Constants} {v : α → M} : c.term.realize v = c := funMap_eq_coe_constants #align first_order.language.term.realize_constants FirstOrder.Language.Term.realize_constants @[simp] theorem realize_functions_apply₁ {f : L.Functions 1} {t : L.Term α} {v : α → M} : (f.apply₁ t).realize v = funMap f ![t.realize v] := by rw [Functions.apply₁, Term.realize] refine congr rfl (funext fun i => ?_) simp only [Matrix.cons_val_fin_one] #align first_order.language.term.realize_functions_apply₁ FirstOrder.Language.Term.realize_functions_apply₁ @[simp] theorem realize_functions_apply₂ {f : L.Functions 2} {t₁ t₂ : L.Term α} {v : α → M} : (f.apply₂ t₁ t₂).realize v = funMap f ![t₁.realize v, t₂.realize v] := by rw [Functions.apply₂, Term.realize] refine congr rfl (funext (Fin.cases ?_ ?_)) · simp only [Matrix.cons_val_zero] · simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const] #align first_order.language.term.realize_functions_apply₂ FirstOrder.Language.Term.realize_functions_apply₂ theorem realize_con {A : Set M} {a : A} {v : α → M} : (L.con a).term.realize v = a := rfl #align first_order.language.term.realize_con FirstOrder.Language.Term.realize_con @[simp] theorem realize_subst {t : L.Term α} {tf : α → L.Term β} {v : β → M} : (t.subst tf).realize v = t.realize fun a => (tf a).realize v := by induction' t with _ _ _ _ ih · rfl · simp [ih] #align first_order.language.term.realize_subst FirstOrder.Language.Term.realize_subst @[simp] theorem realize_restrictVar [DecidableEq α] {t : L.Term α} {s : Set α} (h : ↑t.varFinset ⊆ s) {v : α → M} : (t.restrictVar (Set.inclusion h)).realize (v ∘ (↑)) = t.realize v := by induction' t with _ _ _ _ ih · rfl · simp_rw [varFinset, Finset.coe_biUnion, Set.iUnion_subset_iff] at h exact congr rfl (funext fun i => ih i (h i (Finset.mem_univ i))) #align first_order.language.term.realize_restrict_var FirstOrder.Language.Term.realize_restrictVar @[simp]
Mathlib/ModelTheory/Semantics.lean
147
154
theorem realize_restrictVarLeft [DecidableEq α] {γ : Type*} {t : L.Term (Sum α γ)} {s : Set α} (h : ↑t.varFinsetLeft ⊆ s) {v : α → M} {xs : γ → M} : (t.restrictVarLeft (Set.inclusion h)).realize (Sum.elim (v ∘ (↑)) xs) = t.realize (Sum.elim v xs) := by
induction' t with a _ _ _ ih · cases a <;> rfl · simp_rw [varFinsetLeft, Finset.coe_biUnion, Set.iUnion_subset_iff] at h exact congr rfl (funext fun i => ih i (h i (Finset.mem_univ i)))
4
54.59815
2
1.571429
7
1,709
import Mathlib.Analysis.Calculus.Deriv.Add import Mathlib.Analysis.Calculus.Deriv.Mul import Mathlib.Analysis.Calculus.LocalExtr.Basic #align_import analysis.calculus.darboux from "leanprover-community/mathlib"@"61b5e2755ccb464b68d05a9acf891ae04992d09d" open Filter Set open scoped Topology Classical variable {a b : ℝ} {f f' : ℝ → ℝ}
Mathlib/Analysis/Calculus/Darboux.lean
28
60
theorem exists_hasDerivWithinAt_eq_of_gt_of_lt (hab : a ≤ b) (hf : ∀ x ∈ Icc a b, HasDerivWithinAt f (f' x) (Icc a b) x) {m : ℝ} (hma : f' a < m) (hmb : m < f' b) : m ∈ f' '' Ioo a b := by
rcases hab.eq_or_lt with (rfl | hab') · exact (lt_asymm hma hmb).elim set g : ℝ → ℝ := fun x => f x - m * x have hg : ∀ x ∈ Icc a b, HasDerivWithinAt g (f' x - m) (Icc a b) x := by intro x hx simpa using (hf x hx).sub ((hasDerivWithinAt_id x _).const_mul m) obtain ⟨c, cmem, hc⟩ : ∃ c ∈ Icc a b, IsMinOn g (Icc a b) c := isCompact_Icc.exists_isMinOn (nonempty_Icc.2 <| hab) fun x hx => (hg x hx).continuousWithinAt have cmem' : c ∈ Ioo a b := by rcases cmem.1.eq_or_lt with (rfl | hac) -- Show that `c` can't be equal to `a` · refine absurd (sub_nonneg.1 <| nonneg_of_mul_nonneg_right ?_ (sub_pos.2 hab')) (not_le_of_lt hma) have : b - a ∈ posTangentConeAt (Icc a b) a := mem_posTangentConeAt_of_segment_subset (segment_eq_Icc hab ▸ Subset.refl _) simpa only [ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply] using hc.localize.hasFDerivWithinAt_nonneg (hg a (left_mem_Icc.2 hab)) this rcases cmem.2.eq_or_gt with (rfl | hcb) -- Show that `c` can't be equal to `b` · refine absurd (sub_nonpos.1 <| nonpos_of_mul_nonneg_right ?_ (sub_lt_zero.2 hab')) (not_le_of_lt hmb) have : a - b ∈ posTangentConeAt (Icc a b) b := mem_posTangentConeAt_of_segment_subset (by rw [segment_symm, segment_eq_Icc hab]) simpa only [ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply] using hc.localize.hasFDerivWithinAt_nonneg (hg b (right_mem_Icc.2 hab)) this exact ⟨hac, hcb⟩ use c, cmem' rw [← sub_eq_zero] have : Icc a b ∈ 𝓝 c := by rwa [← mem_interior_iff_mem_nhds, interior_Icc] exact (hc.isLocalMin this).hasDerivAt_eq_zero ((hg c cmem).hasDerivAt this)
30
10,686,474,581,524.463
2
2
2
2,181
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine import Mathlib.Tactic.IntervalCases #align_import geometry.euclidean.triangle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped Classical open scoped Real open scoped RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
Mathlib/Geometry/Euclidean/Triangle.lean
62
67
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle (x y : V) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - 2 * ‖x‖ * ‖y‖ * Real.cos (angle x y) := by
rw [show 2 * ‖x‖ * ‖y‖ * Real.cos (angle x y) = 2 * (Real.cos (angle x y) * (‖x‖ * ‖y‖)) by ring, cos_angle_mul_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, real_inner_sub_sub_self, sub_add_eq_add_sub]
4
54.59815
2
1.75
4
1,862
import Mathlib.FieldTheory.Galois #align_import field_theory.polynomial_galois_group from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" noncomputable section open scoped Polynomial open FiniteDimensional namespace Polynomial variable {F : Type*} [Field F] (p q : F[X]) (E : Type*) [Field E] [Algebra F E] def Gal := p.SplittingField ≃ₐ[F] p.SplittingField -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5020): -- deriving Group, Fintype #align polynomial.gal Polynomial.Gal namespace Gal instance instGroup : Group (Gal p) := inferInstanceAs (Group (p.SplittingField ≃ₐ[F] p.SplittingField)) instance instFintype : Fintype (Gal p) := inferInstanceAs (Fintype (p.SplittingField ≃ₐ[F] p.SplittingField)) instance : CoeFun p.Gal fun _ => p.SplittingField → p.SplittingField := -- Porting note: was AlgEquiv.hasCoeToFun inferInstanceAs (CoeFun (p.SplittingField ≃ₐ[F] p.SplittingField) _) instance applyMulSemiringAction : MulSemiringAction p.Gal p.SplittingField := AlgEquiv.applyMulSemiringAction #align polynomial.gal.apply_mul_semiring_action Polynomial.Gal.applyMulSemiringAction @[ext]
Mathlib/FieldTheory/PolynomialGaloisGroup.lean
74
79
theorem ext {σ τ : p.Gal} (h : ∀ x ∈ p.rootSet p.SplittingField, σ x = τ x) : σ = τ := by
refine AlgEquiv.ext fun x => (AlgHom.mem_equalizer σ.toAlgHom τ.toAlgHom x).mp ((SetLike.ext_iff.mp ?_ x).mpr Algebra.mem_top) rwa [eq_top_iff, ← SplittingField.adjoin_rootSet, Algebra.adjoin_le_iff]
5
148.413159
2
1.75
4
1,873
import Mathlib.GroupTheory.CoprodI import Mathlib.GroupTheory.Coprod.Basic import Mathlib.GroupTheory.QuotientGroup import Mathlib.GroupTheory.Complement namespace Monoid open CoprodI Subgroup Coprod Function List variable {ι : Type*} {G : ι → Type*} {H : Type*} {K : Type*} [Monoid K] def PushoutI.con [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Con (Coprod (CoprodI G) H) := conGen (fun x y : Coprod (CoprodI G) H => ∃ i x', x = inl (of (φ i x')) ∧ y = inr x') def PushoutI [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Type _ := (PushoutI.con φ).Quotient namespace PushoutI section Monoid variable [∀ i, Monoid (G i)] [Monoid H] {φ : ∀ i, H →* G i} protected instance mul : Mul (PushoutI φ) := by delta PushoutI; infer_instance protected instance one : One (PushoutI φ) := by delta PushoutI; infer_instance instance monoid : Monoid (PushoutI φ) := { Con.monoid _ with toMul := PushoutI.mul toOne := PushoutI.one } def of (i : ι) : G i →* PushoutI φ := (Con.mk' _).comp <| inl.comp CoprodI.of variable (φ) in def base : H →* PushoutI φ := (Con.mk' _).comp inr
Mathlib/GroupTheory/PushoutI.lean
88
93
theorem of_comp_eq_base (i : ι) : (of i).comp (φ i) = (base φ) := by
ext x apply (Con.eq _).2 refine ConGen.Rel.of _ _ ?_ simp only [MonoidHom.comp_apply, Set.mem_iUnion, Set.mem_range] exact ⟨_, _, rfl, rfl⟩
5
148.413159
2
1
6
991
import Mathlib.NumberTheory.LegendreSymbol.Basic import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.GaussSum #align_import number_theory.legendre_symbol.quadratic_reciprocity from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Values variable {p : ℕ} [Fact p.Prime] open ZMod namespace ZMod variable (hp : p ≠ 2)
Mathlib/NumberTheory/LegendreSymbol/QuadraticReciprocity.lean
78
85
theorem exists_sq_eq_two_iff : IsSquare (2 : ZMod p) ↔ p % 8 = 1 ∨ p % 8 = 7 := by
rw [FiniteField.isSquare_two_iff, card p] have h₁ := Prime.mod_two_eq_one_iff_ne_two.mpr hp rw [← mod_mod_of_dvd p (by decide : 2 ∣ 8)] at h₁ have h₂ := mod_lt p (by norm_num : 0 < 8) revert h₂ h₁ generalize p % 8 = m; clear! p intros; interval_cases m <;> simp_all -- Porting note (#11043): was `decide!`
7
1,096.633158
2
1.5
8
1,563
import Mathlib.Algebra.Polynomial.Cardinal import Mathlib.Algebra.MvPolynomial.Cardinal import Mathlib.Data.ZMod.Algebra import Mathlib.FieldTheory.IsAlgClosed.Basic import Mathlib.RingTheory.AlgebraicIndependent #align_import field_theory.is_alg_closed.classification from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" universe u open scoped Cardinal Polynomial open Cardinal section AlgebraicClosure namespace Algebra.IsAlgebraic variable (R L : Type u) [CommRing R] [CommRing L] [IsDomain L] [Algebra R L] variable [NoZeroSMulDivisors R L] [Algebra.IsAlgebraic R L] theorem cardinal_mk_le_sigma_polynomial : #L ≤ #(Σ p : R[X], { x : L // x ∈ p.aroots L }) := @mk_le_of_injective L (Σ p : R[X], {x : L | x ∈ p.aroots L}) (fun x : L => let p := Classical.indefiniteDescription _ (Algebra.IsAlgebraic.isAlgebraic x) ⟨p.1, x, by dsimp have h : p.1.map (algebraMap R L) ≠ 0 := by rw [Ne, ← Polynomial.degree_eq_bot, Polynomial.degree_map_eq_of_injective (NoZeroSMulDivisors.algebraMap_injective R L), Polynomial.degree_eq_bot] exact p.2.1 erw [Polynomial.mem_roots h, Polynomial.IsRoot, Polynomial.eval_map, ← Polynomial.aeval_def, p.2.2]⟩) fun x y => by intro h simp? at h says simp only [Set.coe_setOf, ne_eq, Set.mem_setOf_eq, Sigma.mk.inj_iff] at h refine (Subtype.heq_iff_coe_eq ?_).1 h.2 simp only [h.1, iff_self_iff, forall_true_iff] #align algebra.is_algebraic.cardinal_mk_le_sigma_polynomial Algebra.IsAlgebraic.cardinal_mk_le_sigma_polynomial
Mathlib/FieldTheory/IsAlgClosed/Classification.lean
64
76
theorem cardinal_mk_le_max : #L ≤ max #R ℵ₀ := calc #L ≤ #(Σ p : R[X], { x : L // x ∈ p.aroots L }) := cardinal_mk_le_sigma_polynomial R L _ = Cardinal.sum fun p : R[X] => #{x : L | x ∈ p.aroots L} := by
rw [← mk_sigma]; rfl _ ≤ Cardinal.sum.{u, u} fun _ : R[X] => ℵ₀ := (sum_le_sum _ _ fun p => (Multiset.finite_toSet _).lt_aleph0.le) _ = #(R[X]) * ℵ₀ := sum_const' _ _ _ ≤ max (max #(R[X]) ℵ₀) ℵ₀ := mul_le_max _ _ _ ≤ max (max (max #R ℵ₀) ℵ₀) ℵ₀ := (max_le_max (max_le_max Polynomial.cardinal_mk_le_max le_rfl) le_rfl) _ = max #R ℵ₀ := by simp only [max_assoc, max_comm ℵ₀, max_left_comm ℵ₀, max_self]
8
2,980.957987
2
1.666667
3
1,807
import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Algebra.Order.Module.Pointwise import Mathlib.Data.Real.Archimedean #align_import data.real.pointwise from "leanprover-community/mathlib"@"dde670c9a3f503647fd5bfdf1037bad526d3397a" open Set open Pointwise variable {ι : Sort*} {α : Type*} [LinearOrderedField α] section Module variable [Module α ℝ] [OrderedSMul α ℝ] {a : α} theorem Real.sInf_smul_of_nonpos (ha : a ≤ 0) (s : Set ℝ) : sInf (a • s) = a • sSup s := by obtain rfl | hs := s.eq_empty_or_nonempty · rw [smul_set_empty, Real.sInf_empty, Real.sSup_empty, smul_zero] obtain rfl | ha' := ha.eq_or_lt · rw [zero_smul_set hs, zero_smul] exact csInf_singleton 0 by_cases h : BddAbove s · exact ((OrderIso.smulRightDual ℝ ha').map_csSup' hs h).symm · rw [Real.sInf_of_not_bddBelow (mt (bddBelow_smul_iff_of_neg ha').1 h), Real.sSup_of_not_bddAbove h, smul_zero] #align real.Inf_smul_of_nonpos Real.sInf_smul_of_nonpos theorem Real.smul_iSup_of_nonpos (ha : a ≤ 0) (f : ι → ℝ) : (a • ⨆ i, f i) = ⨅ i, a • f i := (Real.sInf_smul_of_nonpos ha _).symm.trans <| congr_arg sInf <| (range_comp _ _).symm #align real.smul_supr_of_nonpos Real.smul_iSup_of_nonpos
Mathlib/Data/Real/Pointwise.lean
91
100
theorem Real.sSup_smul_of_nonpos (ha : a ≤ 0) (s : Set ℝ) : sSup (a • s) = a • sInf s := by
obtain rfl | hs := s.eq_empty_or_nonempty · rw [smul_set_empty, Real.sSup_empty, Real.sInf_empty, smul_zero] obtain rfl | ha' := ha.eq_or_lt · rw [zero_smul_set hs, zero_smul] exact csSup_singleton 0 by_cases h : BddBelow s · exact ((OrderIso.smulRightDual ℝ ha').map_csInf' hs h).symm · rw [Real.sSup_of_not_bddAbove (mt (bddAbove_smul_iff_of_neg ha').1 h), Real.sInf_of_not_bddBelow h, smul_zero]
9
8,103.083928
2
2
4
2,412
import Mathlib.MeasureTheory.Measure.VectorMeasure import Mathlib.MeasureTheory.Function.AEEqOfIntegral #align_import measure_theory.measure.with_density_vector_measure from "leanprover-community/mathlib"@"d1bd9c5df2867c1cb463bc6364446d57bdd9f7f1" noncomputable section open scoped Classical MeasureTheory NNReal ENNReal variable {α β : Type*} {m : MeasurableSpace α} namespace MeasureTheory open TopologicalSpace variable {μ ν : Measure α} variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] def Measure.withDensityᵥ {m : MeasurableSpace α} (μ : Measure α) (f : α → E) : VectorMeasure α E := if hf : Integrable f μ then { measureOf' := fun s => if MeasurableSet s then ∫ x in s, f x ∂μ else 0 empty' := by simp not_measurable' := fun s hs => if_neg hs m_iUnion' := fun s hs₁ hs₂ => by dsimp only convert hasSum_integral_iUnion hs₁ hs₂ hf.integrableOn with n · rw [if_pos (hs₁ n)] · rw [if_pos (MeasurableSet.iUnion hs₁)] } else 0 #align measure_theory.measure.with_densityᵥ MeasureTheory.Measure.withDensityᵥ open Measure variable {f g : α → E} theorem withDensityᵥ_apply (hf : Integrable f μ) {s : Set α} (hs : MeasurableSet s) : μ.withDensityᵥ f s = ∫ x in s, f x ∂μ := by rw [withDensityᵥ, dif_pos hf]; exact dif_pos hs #align measure_theory.with_densityᵥ_apply MeasureTheory.withDensityᵥ_apply @[simp] theorem withDensityᵥ_zero : μ.withDensityᵥ (0 : α → E) = 0 := by ext1 s hs; erw [withDensityᵥ_apply (integrable_zero α E μ) hs]; simp #align measure_theory.with_densityᵥ_zero MeasureTheory.withDensityᵥ_zero @[simp] theorem withDensityᵥ_neg : μ.withDensityᵥ (-f) = -μ.withDensityᵥ f := by by_cases hf : Integrable f μ · ext1 i hi rw [VectorMeasure.neg_apply, withDensityᵥ_apply hf hi, ← integral_neg, withDensityᵥ_apply hf.neg hi] rfl · rw [withDensityᵥ, withDensityᵥ, dif_neg hf, dif_neg, neg_zero] rwa [integrable_neg_iff] #align measure_theory.with_densityᵥ_neg MeasureTheory.withDensityᵥ_neg theorem withDensityᵥ_neg' : (μ.withDensityᵥ fun x => -f x) = -μ.withDensityᵥ f := withDensityᵥ_neg #align measure_theory.with_densityᵥ_neg' MeasureTheory.withDensityᵥ_neg' @[simp] theorem withDensityᵥ_add (hf : Integrable f μ) (hg : Integrable g μ) : μ.withDensityᵥ (f + g) = μ.withDensityᵥ f + μ.withDensityᵥ g := by ext1 i hi rw [withDensityᵥ_apply (hf.add hg) hi, VectorMeasure.add_apply, withDensityᵥ_apply hf hi, withDensityᵥ_apply hg hi] simp_rw [Pi.add_apply] rw [integral_add] <;> rw [← integrableOn_univ] · exact hf.integrableOn.restrict MeasurableSet.univ · exact hg.integrableOn.restrict MeasurableSet.univ #align measure_theory.with_densityᵥ_add MeasureTheory.withDensityᵥ_add theorem withDensityᵥ_add' (hf : Integrable f μ) (hg : Integrable g μ) : (μ.withDensityᵥ fun x => f x + g x) = μ.withDensityᵥ f + μ.withDensityᵥ g := withDensityᵥ_add hf hg #align measure_theory.with_densityᵥ_add' MeasureTheory.withDensityᵥ_add' @[simp] theorem withDensityᵥ_sub (hf : Integrable f μ) (hg : Integrable g μ) : μ.withDensityᵥ (f - g) = μ.withDensityᵥ f - μ.withDensityᵥ g := by rw [sub_eq_add_neg, sub_eq_add_neg, withDensityᵥ_add hf hg.neg, withDensityᵥ_neg] #align measure_theory.with_densityᵥ_sub MeasureTheory.withDensityᵥ_sub theorem withDensityᵥ_sub' (hf : Integrable f μ) (hg : Integrable g μ) : (μ.withDensityᵥ fun x => f x - g x) = μ.withDensityᵥ f - μ.withDensityᵥ g := withDensityᵥ_sub hf hg #align measure_theory.with_densityᵥ_sub' MeasureTheory.withDensityᵥ_sub' @[simp]
Mathlib/MeasureTheory/Measure/WithDensityVectorMeasure.lean
112
122
theorem withDensityᵥ_smul {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [SMulCommClass ℝ 𝕜 E] (f : α → E) (r : 𝕜) : μ.withDensityᵥ (r • f) = r • μ.withDensityᵥ f := by
by_cases hf : Integrable f μ · ext1 i hi rw [withDensityᵥ_apply (hf.smul r) hi, VectorMeasure.smul_apply, withDensityᵥ_apply hf hi, ← integral_smul r f] rfl · by_cases hr : r = 0 · rw [hr, zero_smul, zero_smul, withDensityᵥ_zero] · rw [withDensityᵥ, withDensityᵥ, dif_neg hf, dif_neg, smul_zero] rwa [integrable_smul_iff hr f]
9
8,103.083928
2
1.142857
7
1,217
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology section regionBetween variable {α : Type*} def regionBetween (f g : α → ℝ) (s : Set α) : Set (α × ℝ) := { p : α × ℝ | p.1 ∈ s ∧ p.2 ∈ Ioo (f p.1) (g p.1) } #align region_between regionBetween theorem regionBetween_subset (f g : α → ℝ) (s : Set α) : regionBetween f g s ⊆ s ×ˢ univ := by simpa only [prod_univ, regionBetween, Set.preimage, setOf_subset_setOf] using fun a => And.left #align region_between_subset regionBetween_subset variable [MeasurableSpace α] {μ : Measure α} {f g : α → ℝ} {s : Set α} theorem measurableSet_regionBetween (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet (regionBetween f g s) := by dsimp only [regionBetween, Ioo, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_lt (hf.comp measurable_fst) measurable_snd).inter (measurableSet_lt measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs #align measurable_set_region_between measurableSet_regionBetween theorem measurableSet_region_between_oc (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet { p : α × ℝ | p.fst ∈ s ∧ p.snd ∈ Ioc (f p.fst) (g p.fst) } := by dsimp only [regionBetween, Ioc, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_lt (hf.comp measurable_fst) measurable_snd).inter (measurableSet_le measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs #align measurable_set_region_between_oc measurableSet_region_between_oc
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
481
489
theorem measurableSet_region_between_co (hf : Measurable f) (hg : Measurable g) (hs : MeasurableSet s) : MeasurableSet { p : α × ℝ | p.fst ∈ s ∧ p.snd ∈ Ico (f p.fst) (g p.fst) } := by
dsimp only [regionBetween, Ico, mem_setOf_eq, setOf_and] refine MeasurableSet.inter ?_ ((measurableSet_le (hf.comp measurable_fst) measurable_snd).inter (measurableSet_lt measurable_snd (hg.comp measurable_fst))) exact measurable_fst hs
6
403.428793
2
0.909091
22
790
import Mathlib.Init.Classical import Mathlib.Order.FixedPoints import Mathlib.Order.Zorn #align_import set_theory.cardinal.schroeder_bernstein from "leanprover-community/mathlib"@"1e05171a5e8cf18d98d9cf7b207540acb044acae" open Set Function open scoped Classical universe u v namespace Function namespace Embedding section antisymm variable {α : Type u} {β : Type v}
Mathlib/SetTheory/Cardinal/SchroederBernstein.lean
47
76
theorem schroeder_bernstein {f : α → β} {g : β → α} (hf : Function.Injective f) (hg : Function.Injective g) : ∃ h : α → β, Bijective h := by
cases' isEmpty_or_nonempty β with hβ hβ · have : IsEmpty α := Function.isEmpty f exact ⟨_, ((Equiv.equivEmpty α).trans (Equiv.equivEmpty β).symm).bijective⟩ set F : Set α →o Set α := { toFun := fun s => (g '' (f '' s)ᶜ)ᶜ monotone' := fun s t hst => compl_subset_compl.mpr <| image_subset _ <| compl_subset_compl.mpr <| image_subset _ hst } -- Porting note: dot notation `F.lfp` doesn't work here set s : Set α := OrderHom.lfp F have hs : (g '' (f '' s)ᶜ)ᶜ = s := F.map_lfp have hns : g '' (f '' s)ᶜ = sᶜ := compl_injective (by simp [hs]) set g' := invFun g have g'g : LeftInverse g' g := leftInverse_invFun hg have hg'ns : g' '' sᶜ = (f '' s)ᶜ := by rw [← hns, g'g.image_image] set h : α → β := s.piecewise f g' have : Surjective h := by rw [← range_iff_surjective, range_piecewise, hg'ns, union_compl_self] have : Injective h := by refine (injective_piecewise_iff _).2 ⟨hf.injOn, ?_, ?_⟩ · intro x hx y hy hxy obtain ⟨x', _, rfl⟩ : x ∈ g '' (f '' s)ᶜ := by rwa [hns] obtain ⟨y', _, rfl⟩ : y ∈ g '' (f '' s)ᶜ := by rwa [hns] rw [g'g _, g'g _] at hxy rw [hxy] · intro x hx y hy hxy obtain ⟨y', hy', rfl⟩ : y ∈ g '' (f '' s)ᶜ := by rwa [hns] rw [g'g _] at hxy exact hy' ⟨x, hx, hxy⟩ exact ⟨h, ‹Injective h›, ‹Surjective h›⟩
28
1,446,257,064,291.475
2
2
2
2,487
import Mathlib.Data.Nat.Multiplicity import Mathlib.Data.ZMod.Algebra import Mathlib.RingTheory.WittVector.Basic import Mathlib.RingTheory.WittVector.IsPoly import Mathlib.FieldTheory.Perfect #align_import ring_theory.witt_vector.frobenius from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" namespace WittVector variable {p : ℕ} {R S : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] local notation "𝕎" => WittVector p -- type as `\bbW` noncomputable section open MvPolynomial Finset variable (p) def frobeniusPolyRat (n : ℕ) : MvPolynomial ℕ ℚ := bind₁ (wittPolynomial p ℚ ∘ fun n => n + 1) (xInTermsOfW p ℚ n) #align witt_vector.frobenius_poly_rat WittVector.frobeniusPolyRat theorem bind₁_frobeniusPolyRat_wittPolynomial (n : ℕ) : bind₁ (frobeniusPolyRat p) (wittPolynomial p ℚ n) = wittPolynomial p ℚ (n + 1) := by delta frobeniusPolyRat rw [← bind₁_bind₁, bind₁_xInTermsOfW_wittPolynomial, bind₁_X_right, Function.comp_apply] #align witt_vector.bind₁_frobenius_poly_rat_witt_polynomial WittVector.bind₁_frobeniusPolyRat_wittPolynomial private def pnat_multiplicity (n : ℕ+) : ℕ := (multiplicity p n).get <| multiplicity.finite_nat_iff.mpr <| ⟨ne_of_gt hp.1.one_lt, n.2⟩ local notation "v" => pnat_multiplicity noncomputable def frobeniusPolyAux : ℕ → MvPolynomial ℕ ℤ | n => X (n + 1) - ∑ i : Fin n, have _ := i.is_lt ∑ j ∈ range (p ^ (n - i)), (((X (i : ℕ) ^ p) ^ (p ^ (n - (i : ℕ)) - (j + 1)) : MvPolynomial ℕ ℤ) * (frobeniusPolyAux i) ^ (j + 1)) * C (((p ^ (n - i)).choose (j + 1) / (p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩)) * ↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) : ℤ) #align witt_vector.frobenius_poly_aux WittVector.frobeniusPolyAux theorem frobeniusPolyAux_eq (n : ℕ) : frobeniusPolyAux p n = X (n + 1) - ∑ i ∈ range n, ∑ j ∈ range (p ^ (n - i)), (X i ^ p) ^ (p ^ (n - i) - (j + 1)) * frobeniusPolyAux p i ^ (j + 1) * C ↑((p ^ (n - i)).choose (j + 1) / p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩) * ↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) := by rw [frobeniusPolyAux, ← Fin.sum_univ_eq_sum_range] #align witt_vector.frobenius_poly_aux_eq WittVector.frobeniusPolyAux_eq def frobeniusPoly (n : ℕ) : MvPolynomial ℕ ℤ := X n ^ p + C (p : ℤ) * frobeniusPolyAux p n #align witt_vector.frobenius_poly WittVector.frobeniusPoly theorem map_frobeniusPoly.key₁ (n j : ℕ) (hj : j < p ^ n) : p ^ (n - v p ⟨j + 1, j.succ_pos⟩) ∣ (p ^ n).choose (j + 1) := by apply multiplicity.pow_dvd_of_le_multiplicity rw [hp.out.multiplicity_choose_prime_pow hj j.succ_ne_zero] rfl #align witt_vector.map_frobenius_poly.key₁ WittVector.map_frobeniusPoly.key₁
Mathlib/RingTheory/WittVector/Frobenius.lean
131
140
theorem map_frobeniusPoly.key₂ {n i j : ℕ} (hi : i ≤ n) (hj : j < p ^ (n - i)) : j - v p ⟨j + 1, j.succ_pos⟩ + n = i + j + (n - i - v p ⟨j + 1, j.succ_pos⟩) := by
generalize h : v p ⟨j + 1, j.succ_pos⟩ = m rsuffices ⟨h₁, h₂⟩ : m ≤ n - i ∧ m ≤ j · rw [tsub_add_eq_add_tsub h₂, add_comm i j, add_tsub_assoc_of_le (h₁.trans (Nat.sub_le n i)), add_assoc, tsub_right_comm, add_comm i, tsub_add_cancel_of_le (le_tsub_of_add_le_right ((le_tsub_iff_left hi).mp h₁))] have hle : p ^ m ≤ j + 1 := h ▸ Nat.le_of_dvd j.succ_pos (multiplicity.pow_multiplicity_dvd _) exact ⟨(pow_le_pow_iff_right hp.1.one_lt).1 (hle.trans hj), Nat.le_of_lt_succ ((Nat.lt_pow_self hp.1.one_lt m).trans_le hle)⟩
8
2,980.957987
2
1.2
5
1,261
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Topology.MetricSpace.ThickenedIndicator open MeasureTheory Topology Metric Filter Set ENNReal NNReal open scoped Topology ENNReal NNReal BoundedContinuousFunction section auxiliary namespace MeasureTheory variable {Ω : Type*} [TopologicalSpace Ω] [MeasurableSpace Ω] [OpensMeasurableSpace Ω] theorem tendsto_lintegral_nn_filter_of_le_const {ι : Type*} {L : Filter ι} [L.IsCountablyGenerated] (μ : Measure Ω) [IsFiniteMeasure μ] {fs : ι → Ω →ᵇ ℝ≥0} {c : ℝ≥0} (fs_le_const : ∀ᶠ i in L, ∀ᵐ ω : Ω ∂μ, fs i ω ≤ c) {f : Ω → ℝ≥0} (fs_lim : ∀ᵐ ω : Ω ∂μ, Tendsto (fun i ↦ fs i ω) L (𝓝 (f ω))) : Tendsto (fun i ↦ ∫⁻ ω, fs i ω ∂μ) L (𝓝 (∫⁻ ω, f ω ∂μ)) := by refine tendsto_lintegral_filter_of_dominated_convergence (fun _ ↦ c) (eventually_of_forall fun i ↦ (ENNReal.continuous_coe.comp (fs i).continuous).measurable) ?_ (@lintegral_const_lt_top _ _ μ _ _ (@ENNReal.coe_ne_top c)).ne ?_ · simpa only [Function.comp_apply, ENNReal.coe_le_coe] using fs_le_const · simpa only [Function.comp_apply, ENNReal.tendsto_coe] using fs_lim #align measure_theory.finite_measure.tendsto_lintegral_nn_filter_of_le_const MeasureTheory.tendsto_lintegral_nn_filter_of_le_const theorem measure_of_cont_bdd_of_tendsto_filter_indicator {ι : Type*} {L : Filter ι} [L.IsCountablyGenerated] [TopologicalSpace Ω] [OpensMeasurableSpace Ω] (μ : Measure Ω) [IsFiniteMeasure μ] {c : ℝ≥0} {E : Set Ω} (E_mble : MeasurableSet E) (fs : ι → Ω →ᵇ ℝ≥0) (fs_bdd : ∀ᶠ i in L, ∀ᵐ ω : Ω ∂μ, fs i ω ≤ c) (fs_lim : ∀ᵐ ω ∂μ, Tendsto (fun i ↦ fs i ω) L (𝓝 (indicator E (fun _ ↦ (1 : ℝ≥0)) ω))) : Tendsto (fun n ↦ lintegral μ fun ω ↦ fs n ω) L (𝓝 (μ E)) := by convert tendsto_lintegral_nn_filter_of_le_const μ fs_bdd fs_lim have aux : ∀ ω, indicator E (fun _ ↦ (1 : ℝ≥0∞)) ω = ↑(indicator E (fun _ ↦ (1 : ℝ≥0)) ω) := fun ω ↦ by simp only [ENNReal.coe_indicator, ENNReal.coe_one] simp_rw [← aux, lintegral_indicator _ E_mble] simp only [lintegral_one, Measure.restrict_apply, MeasurableSet.univ, univ_inter] #align measure_theory.measure_of_cont_bdd_of_tendsto_filter_indicator MeasureTheory.measure_of_cont_bdd_of_tendsto_filter_indicator
Mathlib/MeasureTheory/Measure/HasOuterApproxClosed.lean
95
105
theorem measure_of_cont_bdd_of_tendsto_indicator [OpensMeasurableSpace Ω] (μ : Measure Ω) [IsFiniteMeasure μ] {c : ℝ≥0} {E : Set Ω} (E_mble : MeasurableSet E) (fs : ℕ → Ω →ᵇ ℝ≥0) (fs_bdd : ∀ n ω, fs n ω ≤ c) (fs_lim : Tendsto (fun n ω ↦ fs n ω) atTop (𝓝 (indicator E fun _ ↦ (1 : ℝ≥0)))) : Tendsto (fun n ↦ lintegral μ fun ω ↦ fs n ω) atTop (𝓝 (μ E)) := by
have fs_lim' : ∀ ω, Tendsto (fun n : ℕ ↦ (fs n ω : ℝ≥0)) atTop (𝓝 (indicator E (fun _ ↦ (1 : ℝ≥0)) ω)) := by rw [tendsto_pi_nhds] at fs_lim exact fun ω ↦ fs_lim ω apply measure_of_cont_bdd_of_tendsto_filter_indicator μ E_mble fs (eventually_of_forall fun n ↦ eventually_of_forall (fs_bdd n)) (eventually_of_forall fs_lim')
6
403.428793
2
2
4
2,283
import Mathlib.Probability.ConditionalProbability import Mathlib.MeasureTheory.Measure.Count #align_import probability.cond_count from "leanprover-community/mathlib"@"117e93f82b5f959f8193857370109935291f0cc4" noncomputable section open ProbabilityTheory open MeasureTheory MeasurableSpace namespace ProbabilityTheory variable {Ω : Type*} [MeasurableSpace Ω] def condCount (s : Set Ω) : Measure Ω := Measure.count[|s] #align probability_theory.cond_count ProbabilityTheory.condCount @[simp] theorem condCount_empty_meas : (condCount ∅ : Measure Ω) = 0 := by simp [condCount] #align probability_theory.cond_count_empty_meas ProbabilityTheory.condCount_empty_meas theorem condCount_empty {s : Set Ω} : condCount s ∅ = 0 := by simp #align probability_theory.cond_count_empty ProbabilityTheory.condCount_empty theorem finite_of_condCount_ne_zero {s t : Set Ω} (h : condCount s t ≠ 0) : s.Finite := by by_contra hs' simp [condCount, cond, Measure.count_apply_infinite hs'] at h #align probability_theory.finite_of_cond_count_ne_zero ProbabilityTheory.finite_of_condCount_ne_zero theorem condCount_univ [Fintype Ω] {s : Set Ω} : condCount Set.univ s = Measure.count s / Fintype.card Ω := by rw [condCount, cond_apply _ MeasurableSet.univ, ← ENNReal.div_eq_inv_mul, Set.univ_inter] congr rw [← Finset.coe_univ, Measure.count_apply, Finset.univ.tsum_subtype' fun _ => (1 : ENNReal)] · simp [Finset.card_univ] · exact (@Finset.coe_univ Ω _).symm ▸ MeasurableSet.univ #align probability_theory.cond_count_univ ProbabilityTheory.condCount_univ variable [MeasurableSingletonClass Ω] theorem condCount_isProbabilityMeasure {s : Set Ω} (hs : s.Finite) (hs' : s.Nonempty) : IsProbabilityMeasure (condCount s) := { measure_univ := by rw [condCount, cond_apply _ hs.measurableSet, Set.inter_univ, ENNReal.inv_mul_cancel] · exact fun h => hs'.ne_empty <| Measure.empty_of_count_eq_zero h · exact (Measure.count_apply_lt_top.2 hs).ne } #align probability_theory.cond_count_is_probability_measure ProbabilityTheory.condCount_isProbabilityMeasure
Mathlib/Probability/CondCount.lean
89
95
theorem condCount_singleton (ω : Ω) (t : Set Ω) [Decidable (ω ∈ t)] : condCount {ω} t = if ω ∈ t then 1 else 0 := by
rw [condCount, cond_apply _ (measurableSet_singleton ω), Measure.count_singleton, inv_one, one_mul] split_ifs · rw [(by simpa : ({ω} : Set Ω) ∩ t = {ω}), Measure.count_singleton] · rw [(by simpa : ({ω} : Set Ω) ∩ t = ∅), Measure.count_empty]
5
148.413159
2
1.166667
12
1,231
import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.InverseFunctionTheorem.FDeriv import Mathlib.LinearAlgebra.Dual #align_import analysis.calculus.lagrange_multipliers from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Topology Filter variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {f : E → F} {φ : E → ℝ} {x₀ : E} {f' : E →L[ℝ] F} {φ' : E →L[ℝ] ℝ} theorem IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : LinearMap.range (f'.prod φ') ≠ ⊤ := by intro htop set fφ := fun x => (f x, φ x) have A : map φ (𝓝[f ⁻¹' {f x₀}] x₀) = 𝓝 (φ x₀) := by change map (Prod.snd ∘ fφ) (𝓝[fφ ⁻¹' {p | p.1 = f x₀}] x₀) = 𝓝 (φ x₀) rw [← map_map, nhdsWithin, map_inf_principal_preimage, (hf'.prod hφ').map_nhds_eq_of_surj htop] exact map_snd_nhdsWithin _ exact hextr.not_nhds_le_map A.ge #align is_local_extr_on.range_ne_top_of_has_strict_fderiv_at IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt
Mathlib/Analysis/Calculus/LagrangeMultipliers.lean
60
78
theorem IsLocalExtrOn.exists_linear_map_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ (Λ : Module.Dual ℝ F) (Λ₀ : ℝ), (Λ, Λ₀) ≠ 0 ∧ ∀ x, Λ (f' x) + Λ₀ • φ' x = 0 := by
rcases Submodule.exists_le_ker_of_lt_top _ (lt_top_iff_ne_top.2 <| hextr.range_ne_top_of_hasStrictFDerivAt hf' hφ') with ⟨Λ', h0, hΛ'⟩ set e : ((F →ₗ[ℝ] ℝ) × ℝ) ≃ₗ[ℝ] F × ℝ →ₗ[ℝ] ℝ := ((LinearEquiv.refl ℝ (F →ₗ[ℝ] ℝ)).prod (LinearMap.ringLmapEquivSelf ℝ ℝ ℝ).symm).trans (LinearMap.coprodEquiv ℝ) rcases e.surjective Λ' with ⟨⟨Λ, Λ₀⟩, rfl⟩ refine ⟨Λ, Λ₀, e.map_ne_zero_iff.1 h0, fun x => ?_⟩ convert LinearMap.congr_fun (LinearMap.range_le_ker_iff.1 hΛ') x using 1 -- squeezed `simp [mul_comm]` to speed up elaboration simp only [e, smul_eq_mul, LinearEquiv.trans_apply, LinearEquiv.prod_apply, LinearEquiv.refl_apply, LinearMap.ringLmapEquivSelf_symm_apply, LinearMap.coprodEquiv_apply, ContinuousLinearMap.coe_prod, LinearMap.coprod_comp_prod, LinearMap.add_apply, LinearMap.coe_comp, ContinuousLinearMap.coe_coe, Function.comp_apply, LinearMap.coe_smulRight, LinearMap.one_apply, mul_comm]
15
3,269,017.372472
2
2
4
2,176
import Mathlib.Algebra.Regular.Basic import Mathlib.LinearAlgebra.Matrix.MvPolynomial import Mathlib.LinearAlgebra.Matrix.Polynomial import Mathlib.RingTheory.Polynomial.Basic #align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a" namespace Matrix universe u v w variable {m : Type u} {n : Type v} {α : Type w} variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α] open Matrix Polynomial Equiv Equiv.Perm Finset section Cramer variable (A : Matrix n n α) (b : n → α) def cramerMap (i : n) : α := (A.updateColumn i b).det #align matrix.cramer_map Matrix.cramerMap theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i := { map_add := det_updateColumn_add _ _ map_smul := det_updateColumn_smul _ _ } #align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by constructor <;> intros <;> ext i · apply (cramerMap_is_linear A i).1 · apply (cramerMap_is_linear A i).2 #align matrix.cramer_is_linear Matrix.cramer_is_linear def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) := IsLinearMap.mk' (cramerMap A) (cramer_is_linear A) #align matrix.cramer Matrix.cramer theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det := rfl #align matrix.cramer_apply Matrix.cramer_apply theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by rw [cramer_apply, updateColumn_transpose, det_transpose] #align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by ext j rw [cramer_apply, Pi.single_apply] split_ifs with h · -- i = j: this entry should be `A.det` subst h simp only [updateColumn_transpose, det_transpose, updateRow_eq_self] · -- i ≠ j: this entry should be 0 rw [updateColumn_transpose, det_transpose] apply det_zero_of_row_eq h rw [updateRow_self, updateRow_ne (Ne.symm h)] #align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by rw [← transpose_transpose A, det_transpose] convert cramer_transpose_row_self Aᵀ i exact funext h #align matrix.cramer_row_self Matrix.cramer_row_self @[simp]
Mathlib/LinearAlgebra/Matrix/Adjugate.lean
126
132
theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by
-- Porting note: was `ext i j` refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_))) convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j · simp · intro j rw [Matrix.one_eq_pi_single, Pi.single_comm]
6
403.428793
2
1.222222
9
1,297
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace EuclideanGeometry open FiniteDimensional variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)] theorem oangle_right_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arccos (dist p₃ p₂ / dist p₁ p₃) := by have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arccos_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)] #align euclidean_geometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_left_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₃ p₁ p₂ = Real.arccos (dist p₁ p₂ / dist p₁ p₃) := by have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, angle_eq_arccos_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h), dist_comm p₁ p₃] #align euclidean_geometry.oangle_left_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_right_eq_arcsin_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arcsin (dist p₁ p₂ / dist p₁ p₃) := by have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arcsin_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h) (Or.inl (left_ne_of_oangle_eq_pi_div_two h))] #align euclidean_geometry.oangle_right_eq_arcsin_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_left_eq_arcsin_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₃ p₁ p₂ = Real.arcsin (dist p₃ p₂ / dist p₁ p₃) := by have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, angle_eq_arcsin_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h) (Or.inr (left_ne_of_oangle_eq_pi_div_two h)), dist_comm p₁ p₃] #align euclidean_geometry.oangle_left_eq_arcsin_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arcsin_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
620
625
theorem oangle_right_eq_arctan_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : ∡ p₂ p₃ p₁ = Real.arctan (dist p₁ p₂ / dist p₃ p₂) := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two] rw [oangle_eq_angle_of_sign_eq_one hs, angle_eq_arctan_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h) (right_ne_of_oangle_eq_pi_div_two h)]
4
54.59815
2
1.642857
14
1,752
import Mathlib.Order.Partition.Equipartition #align_import combinatorics.simple_graph.regularity.equitabilise from "leanprover-community/mathlib"@"bf7ef0e83e5b7e6c1169e97f055e58a2e4e9d52d" open Finset Nat namespace Finpartition variable {α : Type*} [DecidableEq α] {s t : Finset α} {m n a b : ℕ} {P : Finpartition s}
Mathlib/Combinatorics/SimpleGraph/Regularity/Equitabilise.lean
42
139
theorem equitabilise_aux (hs : a * m + b * (m + 1) = s.card) : ∃ Q : Finpartition s, (∀ x : Finset α, x ∈ Q.parts → x.card = m ∨ x.card = m + 1) ∧ (∀ x, x ∈ P.parts → (x \ (Q.parts.filter fun y => y ⊆ x).biUnion id).card ≤ m) ∧ (Q.parts.filter fun i => card i = m + 1).card = b := by
-- Get rid of the easy case `m = 0` obtain rfl | m_pos := m.eq_zero_or_pos · refine ⟨⊥, by simp, ?_, by simpa [Finset.filter_true_of_mem] using hs.symm⟩ simp only [le_zero_iff, card_eq_zero, mem_biUnion, exists_prop, mem_filter, id, and_assoc, sdiff_eq_empty_iff_subset, subset_iff] exact fun x hx a ha => ⟨{a}, mem_map_of_mem _ (P.le hx ha), singleton_subset_iff.2 ha, mem_singleton_self _⟩ -- Prove the case `m > 0` by strong induction on `s` induction' s using Finset.strongInduction with s ih generalizing a b -- If `a = b = 0`, then `s = ∅` and we can partition into zero parts by_cases hab : a = 0 ∧ b = 0 · simp only [hab.1, hab.2, add_zero, zero_mul, eq_comm, card_eq_zero, Finset.bot_eq_empty] at hs subst hs -- Porting note: to synthesize `Finpartition ∅`, `have` is required have : P = Finpartition.empty _ := Unique.eq_default (α := Finpartition ⊥) P exact ⟨Finpartition.empty _, by simp, by simp [this], by simp [hab.2]⟩ simp_rw [not_and_or, ← Ne.eq_def, ← pos_iff_ne_zero] at hab -- `n` will be the size of the smallest part set n := if 0 < a then m else m + 1 with hn -- Some easy facts about it obtain ⟨hn₀, hn₁, hn₂, hn₃⟩ : 0 < n ∧ n ≤ m + 1 ∧ n ≤ a * m + b * (m + 1) ∧ ite (0 < a) (a - 1) a * m + ite (0 < a) b (b - 1) * (m + 1) = s.card - n := by rw [hn, ← hs] split_ifs with h <;> rw [tsub_mul, one_mul] · refine ⟨m_pos, le_succ _, le_add_right (Nat.le_mul_of_pos_left _ ‹0 < a›), ?_⟩ rw [tsub_add_eq_add_tsub (Nat.le_mul_of_pos_left _ h)] · refine ⟨succ_pos', le_rfl, le_add_left (Nat.le_mul_of_pos_left _ <| hab.resolve_left ‹¬0 < a›), ?_⟩ rw [← add_tsub_assoc_of_le (Nat.le_mul_of_pos_left _ <| hab.resolve_left ‹¬0 < a›)] /- We will call the inductive hypothesis on a partition of `s \ t` for a carefully chosen `t ⊆ s`. To decide which, however, we must distinguish the case where all parts of `P` have size `m` (in which case we take `t` to be an arbitrary subset of `s` of size `n`) from the case where at least one part `u` of `P` has size `m + 1` (in which case we take `t` to be an arbitrary subset of `u` of size `n`). The rest of each branch is just tedious calculations to satisfy the induction hypothesis. -/ by_cases h : ∀ u ∈ P.parts, card u < m + 1 · obtain ⟨t, hts, htn⟩ := exists_smaller_set s n (hn₂.trans_eq hs) have ht : t.Nonempty := by rwa [← card_pos, htn] have hcard : ite (0 < a) (a - 1) a * m + ite (0 < a) b (b - 1) * (m + 1) = (s \ t).card := by rw [card_sdiff ‹t ⊆ s›, htn, hn₃] obtain ⟨R, hR₁, _, hR₃⟩ := @ih (s \ t) (sdiff_ssubset hts ‹t.Nonempty›) (if 0 < a then a - 1 else a) (if 0 < a then b else b - 1) (P.avoid t) hcard refine ⟨R.extend ht.ne_empty sdiff_disjoint (sdiff_sup_cancel hts), ?_, ?_, ?_⟩ · simp only [extend_parts, mem_insert, forall_eq_or_imp, and_iff_left hR₁, htn, hn] exact ite_eq_or_eq _ _ _ · exact fun x hx => (card_le_card sdiff_subset).trans (Nat.lt_succ_iff.1 <| h _ hx) simp_rw [extend_parts, filter_insert, htn, m.succ_ne_self.symm.ite_eq_right_iff] split_ifs with ha · rw [hR₃, if_pos ha] rw [card_insert_of_not_mem, hR₃, if_neg ha, tsub_add_cancel_of_le] · exact hab.resolve_left ha · intro H; exact ht.ne_empty (le_sdiff_iff.1 <| R.le <| filter_subset _ _ H) push_neg at h obtain ⟨u, hu₁, hu₂⟩ := h obtain ⟨t, htu, htn⟩ := exists_smaller_set _ _ (hn₁.trans hu₂) have ht : t.Nonempty := by rwa [← card_pos, htn] have hcard : ite (0 < a) (a - 1) a * m + ite (0 < a) b (b - 1) * (m + 1) = (s \ t).card := by rw [card_sdiff (htu.trans <| P.le hu₁), htn, hn₃] obtain ⟨R, hR₁, hR₂, hR₃⟩ := @ih (s \ t) (sdiff_ssubset (htu.trans <| P.le hu₁) ht) (if 0 < a then a - 1 else a) (if 0 < a then b else b - 1) (P.avoid t) hcard refine ⟨R.extend ht.ne_empty sdiff_disjoint (sdiff_sup_cancel <| htu.trans <| P.le hu₁), ?_, ?_, ?_⟩ · simp only [mem_insert, forall_eq_or_imp, extend_parts, and_iff_left hR₁, htn, hn] exact ite_eq_or_eq _ _ _ · conv in _ ∈ _ => rw [← insert_erase hu₁] simp only [and_imp, mem_insert, forall_eq_or_imp, Ne, extend_parts] refine ⟨?_, fun x hx => (card_le_card ?_).trans <| hR₂ x ?_⟩ · simp only [filter_insert, if_pos htu, biUnion_insert, mem_erase, id] obtain rfl | hut := eq_or_ne u t · rw [sdiff_eq_empty_iff_subset.2 subset_union_left] exact bot_le refine (card_le_card fun i => ?_).trans (hR₂ (u \ t) <| P.mem_avoid.2 ⟨u, hu₁, fun i => hut <| i.antisymm htu, rfl⟩) -- Porting note: `not_and` required because `∃ x ∈ s, p x` is defined differently simp only [not_exists, not_and, mem_biUnion, and_imp, mem_union, mem_filter, mem_sdiff, id, not_or] exact fun hi₁ hi₂ hi₃ => ⟨⟨hi₁, hi₂⟩, fun x hx hx' => hi₃ _ hx <| hx'.trans sdiff_subset⟩ · apply sdiff_subset_sdiff Subset.rfl (biUnion_subset_biUnion_of_subset_left _ _) exact filter_subset_filter _ (subset_insert _ _) simp only [avoid, ofErase, mem_erase, mem_image, bot_eq_empty] exact ⟨(nonempty_of_mem_parts _ <| mem_of_mem_erase hx).ne_empty, _, mem_of_mem_erase hx, (disjoint_of_subset_right htu <| P.disjoint (mem_of_mem_erase hx) hu₁ <| ne_of_mem_erase hx).sdiff_eq_left⟩ simp only [extend_parts, filter_insert, htn, hn, m.succ_ne_self.symm.ite_eq_right_iff] split_ifs with h · rw [hR₃, if_pos h] · rw [card_insert_of_not_mem, hR₃, if_neg h, Nat.sub_add_cancel (hab.resolve_left h)] intro H; exact ht.ne_empty (le_sdiff_iff.1 <| R.le <| filter_subset _ _ H)
93
24,512,455,429,200,860,000,000,000,000,000,000,000,000
2
2
1
1,983
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]
Mathlib/Algebra/Lie/Solvable.lean
89
97
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)
7
1,096.633158
2
1
6
921
import Mathlib.Analysis.Analytic.Basic import Mathlib.Combinatorics.Enumerative.Composition #align_import analysis.analytic.composition from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section variable {𝕜 : Type*} {E F G H : Type*} open Filter List open scoped Topology Classical NNReal ENNReal section Topological variable [CommRing 𝕜] [AddCommGroup E] [AddCommGroup F] [AddCommGroup G] variable [Module 𝕜 E] [Module 𝕜 F] [Module 𝕜 G] variable [TopologicalSpace E] [TopologicalSpace F] [TopologicalSpace G] namespace FormalMultilinearSeries variable [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] variable [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] variable [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G] def applyComposition (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (c : Composition n) : (Fin n → E) → Fin c.length → F := fun v i => p (c.blocksFun i) (v ∘ c.embedding i) #align formal_multilinear_series.apply_composition FormalMultilinearSeries.applyComposition
Mathlib/Analysis/Analytic/Composition.lean
106
114
theorem applyComposition_ones (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : p.applyComposition (Composition.ones n) = fun v i => p 1 fun _ => v (Fin.castLE (Composition.length_le _) i) := by
funext v i apply p.congr (Composition.ones_blocksFun _ _) intro j hjn hj1 obtain rfl : j = 0 := by omega refine congr_arg v ?_ rw [Fin.ext_iff, Fin.coe_castLE, Composition.ones_embedding, Fin.val_mk]
6
403.428793
2
1.4
5
1,478
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.GCD.Basic import Mathlib.Init.Data.Nat.Lemmas import Mathlib.Logic.Function.Iterate import Mathlib.Tactic.Ring import Mathlib.Tactic.Zify #align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" namespace Nat -- Porting note: Lean cannot find pp_nodot at the time of this port. -- @[pp_nodot] def fib (n : ℕ) : ℕ := ((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst #align nat.fib Nat.fib @[simp] theorem fib_zero : fib 0 = 0 := rfl #align nat.fib_zero Nat.fib_zero @[simp] theorem fib_one : fib 1 = 1 := rfl #align nat.fib_one Nat.fib_one @[simp] theorem fib_two : fib 2 = 1 := rfl #align nat.fib_two Nat.fib_two theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by simp [fib, Function.iterate_succ_apply'] #align nat.fib_add_two Nat.fib_add_two lemma fib_add_one : ∀ {n}, n ≠ 0 → fib (n + 1) = fib (n - 1) + fib n | _n + 1, _ => fib_add_two theorem fib_le_fib_succ {n : ℕ} : fib n ≤ fib (n + 1) := by cases n <;> simp [fib_add_two] #align nat.fib_le_fib_succ Nat.fib_le_fib_succ @[mono] theorem fib_mono : Monotone fib := monotone_nat_of_le_succ fun _ => fib_le_fib_succ #align nat.fib_mono Nat.fib_mono @[simp] lemma fib_eq_zero : ∀ {n}, fib n = 0 ↔ n = 0 | 0 => Iff.rfl | 1 => Iff.rfl | n + 2 => by simp [fib_add_two, fib_eq_zero] @[simp] lemma fib_pos {n : ℕ} : 0 < fib n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.fib_pos Nat.fib_pos theorem fib_add_two_sub_fib_add_one {n : ℕ} : fib (n + 2) - fib (n + 1) = fib n := by rw [fib_add_two, add_tsub_cancel_right] #align nat.fib_add_two_sub_fib_add_one Nat.fib_add_two_sub_fib_add_one theorem fib_lt_fib_succ {n : ℕ} (hn : 2 ≤ n) : fib n < fib (n + 1) := by rcases exists_add_of_le hn with ⟨n, rfl⟩ rw [← tsub_pos_iff_lt, add_comm 2, add_right_comm, fib_add_two, add_tsub_cancel_right, fib_pos] exact succ_pos n #align nat.fib_lt_fib_succ Nat.fib_lt_fib_succ theorem fib_add_two_strictMono : StrictMono fun n => fib (n + 2) := by refine strictMono_nat_of_lt_succ fun n => ?_ rw [add_right_comm] exact fib_lt_fib_succ (self_le_add_left _ _) #align nat.fib_add_two_strict_mono Nat.fib_add_two_strictMono lemma fib_strictMonoOn : StrictMonoOn fib (Set.Ici 2) | _m + 2, _, _n + 2, _, hmn => fib_add_two_strictMono <| lt_of_add_lt_add_right hmn lemma fib_lt_fib {m : ℕ} (hm : 2 ≤ m) : ∀ {n}, fib m < fib n ↔ m < n | 0 => by simp [hm] | 1 => by simp [hm] | n + 2 => fib_strictMonoOn.lt_iff_lt hm <| by simp theorem le_fib_self {n : ℕ} (five_le_n : 5 ≤ n) : n ≤ fib n := by induction' five_le_n with n five_le_n IH ·-- 5 ≤ fib 5 rfl · -- n + 1 ≤ fib (n + 1) for 5 ≤ n rw [succ_le_iff] calc n ≤ fib n := IH _ < fib (n + 1) := fib_lt_fib_succ (le_trans (by decide) five_le_n) #align nat.le_fib_self Nat.le_fib_self lemma le_fib_add_one : ∀ n, n ≤ fib n + 1 | 0 => zero_le_one | 1 => one_le_two | 2 => le_rfl | 3 => le_rfl | 4 => le_rfl | _n + 5 => (le_fib_self le_add_self).trans <| le_succ _ theorem fib_coprime_fib_succ (n : ℕ) : Nat.Coprime (fib n) (fib (n + 1)) := by induction' n with n ih · simp · rw [fib_add_two] simp only [coprime_add_self_right] simp [Coprime, ih.symm] #align nat.fib_coprime_fib_succ Nat.fib_coprime_fib_succ theorem fib_add (m n : ℕ) : fib (m + n + 1) = fib m * fib n + fib (m + 1) * fib (n + 1) := by induction' n with n ih generalizing m · simp · specialize ih (m + 1) rw [add_assoc m 1 n, add_comm 1 n] at ih simp only [fib_add_two, succ_eq_add_one, ih] ring #align nat.fib_add Nat.fib_add
Mathlib/Data/Nat/Fib/Basic.lean
174
179
theorem fib_two_mul (n : ℕ) : fib (2 * n) = fib n * (2 * fib (n + 1) - fib n) := by
cases n · simp · rw [two_mul, ← add_assoc, fib_add, fib_add_two, two_mul] simp only [← add_assoc, add_tsub_cancel_right] ring
5
148.413159
2
1.181818
11
1,246
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.CharZero.Lemmas import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.Choose.Central import Mathlib.Data.Tree.Basic import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.GCongr import Mathlib.Tactic.Positivity #align_import combinatorics.catalan from "leanprover-community/mathlib"@"26b40791e4a5772a4e53d0e28e4df092119dc7da" open Finset open Finset.antidiagonal (fst_le snd_le) def catalan : ℕ → ℕ | 0 => 1 | n + 1 => ∑ i : Fin n.succ, catalan i * catalan (n - i) #align catalan catalan @[simp] theorem catalan_zero : catalan 0 = 1 := by rw [catalan] #align catalan_zero catalan_zero theorem catalan_succ (n : ℕ) : catalan (n + 1) = ∑ i : Fin n.succ, catalan i * catalan (n - i) := by rw [catalan] #align catalan_succ catalan_succ theorem catalan_succ' (n : ℕ) : catalan (n + 1) = ∑ ij ∈ antidiagonal n, catalan ij.1 * catalan ij.2 := by rw [catalan_succ, Nat.sum_antidiagonal_eq_sum_range_succ (fun x y => catalan x * catalan y) n, sum_range] #align catalan_succ' catalan_succ' @[simp] theorem catalan_one : catalan 1 = 1 := by simp [catalan_succ] #align catalan_one catalan_one private def gosperCatalan (n j : ℕ) : ℚ := Nat.centralBinom j * Nat.centralBinom (n - j) * (2 * j - n) / (2 * n * (n + 1)) private theorem gosper_trick {n i : ℕ} (h : i ≤ n) : gosperCatalan (n + 1) (i + 1) - gosperCatalan (n + 1) i = Nat.centralBinom i / (i + 1) * Nat.centralBinom (n - i) / (n - i + 1) := by have l₁ : (i : ℚ) + 1 ≠ 0 := by norm_cast have l₂ : (n : ℚ) - i + 1 ≠ 0 := by norm_cast have h₁ := (mul_div_cancel_left₀ (↑(Nat.centralBinom (i + 1))) l₁).symm have h₂ := (mul_div_cancel_left₀ (↑(Nat.centralBinom (n - i + 1))) l₂).symm have h₃ : ((i : ℚ) + 1) * (i + 1).centralBinom = 2 * (2 * i + 1) * i.centralBinom := mod_cast Nat.succ_mul_centralBinom_succ i have h₄ : ((n : ℚ) - i + 1) * (n - i + 1).centralBinom = 2 * (2 * (n - i) + 1) * (n - i).centralBinom := mod_cast Nat.succ_mul_centralBinom_succ (n - i) simp only [gosperCatalan] push_cast rw [show n + 1 - i = n - i + 1 by rw [Nat.add_comm (n - i) 1, ← (Nat.add_sub_assoc h 1), add_comm]] rw [h₁, h₂, h₃, h₄] field_simp ring private theorem gosper_catalan_sub_eq_central_binom_div (n : ℕ) : gosperCatalan (n + 1) (n + 1) - gosperCatalan (n + 1) 0 = Nat.centralBinom (n + 1) / (n + 2) := by have : (n : ℚ) + 1 ≠ 0 := by norm_cast have : (n : ℚ) + 1 + 1 ≠ 0 := by norm_cast have h : (n : ℚ) + 2 ≠ 0 := by norm_cast simp only [gosperCatalan, Nat.sub_zero, Nat.centralBinom_zero, Nat.sub_self] field_simp ring
Mathlib/Combinatorics/Enumerative/Catalan.lean
116
137
theorem catalan_eq_centralBinom_div (n : ℕ) : catalan n = n.centralBinom / (n + 1) := by
suffices (catalan n : ℚ) = Nat.centralBinom n / (n + 1) by have h := Nat.succ_dvd_centralBinom n exact mod_cast this induction' n using Nat.case_strong_induction_on with d hd · simp · simp_rw [catalan_succ, Nat.cast_sum, Nat.cast_mul] trans (∑ i : Fin d.succ, Nat.centralBinom i / (i + 1) * (Nat.centralBinom (d - i) / (d - i + 1)) : ℚ) · congr ext1 x have m_le_d : x.val ≤ d := by apply Nat.le_of_lt_succ; apply x.2 have d_minus_x_le_d : (d - x.val) ≤ d := tsub_le_self rw [hd _ m_le_d, hd _ d_minus_x_le_d] norm_cast · trans (∑ i : Fin d.succ, (gosperCatalan (d + 1) (i + 1) - gosperCatalan (d + 1) i)) · refine sum_congr rfl fun i _ => ?_ rw [gosper_trick i.is_le, mul_div] · rw [← sum_range fun i => gosperCatalan (d + 1) (i + 1) - gosperCatalan (d + 1) i, sum_range_sub, Nat.succ_eq_add_one] rw [gosper_catalan_sub_eq_central_binom_div d] norm_cast
21
1,318,815,734.483215
2
0.428571
7
409
import Mathlib.Init.Data.Sigma.Lex import Mathlib.Data.Prod.Lex import Mathlib.Data.Sigma.Lex import Mathlib.Order.Antichain import Mathlib.Order.OrderIsoNat import Mathlib.Order.WellFounded import Mathlib.Tactic.TFAE #align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592" variable {ι α β γ : Type*} {π : ι → Type*} namespace Set def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop := WellFounded fun a b : s => r a b #align set.well_founded_on Set.WellFoundedOn @[simp] theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r := wellFounded_of_isEmpty _ #align set.well_founded_on_empty Set.wellFoundedOn_empty def PartiallyWellOrderedOn (s : Set α) (r : α → α → Prop) : Prop := ∀ f : ℕ → α, (∀ n, f n ∈ s) → ∃ m n : ℕ, m < n ∧ r (f m) (f n) #align set.partially_well_ordered_on Set.PartiallyWellOrderedOn section PartiallyWellOrderedOn variable {r : α → α → Prop} {r' : β → β → Prop} {f : α → β} {s : Set α} {t : Set α} {a : α} theorem PartiallyWellOrderedOn.mono (ht : t.PartiallyWellOrderedOn r) (h : s ⊆ t) : s.PartiallyWellOrderedOn r := fun f hf => ht f fun n => h <| hf n #align set.partially_well_ordered_on.mono Set.PartiallyWellOrderedOn.mono @[simp] theorem partiallyWellOrderedOn_empty (r : α → α → Prop) : PartiallyWellOrderedOn ∅ r := fun _ h => (h 0).elim #align set.partially_well_ordered_on_empty Set.partiallyWellOrderedOn_empty
Mathlib/Order/WellFoundedSet.lean
286
293
theorem PartiallyWellOrderedOn.union (hs : s.PartiallyWellOrderedOn r) (ht : t.PartiallyWellOrderedOn r) : (s ∪ t).PartiallyWellOrderedOn r := by
rintro f hf rcases Nat.exists_subseq_of_forall_mem_union f hf with ⟨g, hgs | hgt⟩ · rcases hs _ hgs with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ · rcases ht _ hgt with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩
6
403.428793
2
1.5
10
1,649
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Order.Group.Indicator import Mathlib.Order.LiminfLimsup import Mathlib.Order.Filter.Archimedean import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Data.Set.Lattice import Mathlib.Topology.Order.Monotone #align_import topology.algebra.order.liminf_limsup from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Filter TopologicalSpace open scoped Topology Classical universe u v variable {ι α β R S : Type*} {π : ι → Type*} class BoundedLENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_le_nhds (a : α) : (𝓝 a).IsBounded (· ≤ ·) #align bounded_le_nhds_class BoundedLENhdsClass class BoundedGENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_ge_nhds (a : α) : (𝓝 a).IsBounded (· ≥ ·) #align bounded_ge_nhds_class BoundedGENhdsClass section Preorder variable [Preorder α] [Preorder β] [TopologicalSpace α] [TopologicalSpace β] section LiminfLimsup section Monotone variable {F : Filter ι} [NeBot F] [ConditionallyCompleteLinearOrder R] [TopologicalSpace R] [OrderTopology R] [ConditionallyCompleteLinearOrder S] [TopologicalSpace S] [OrderTopology S]
Mathlib/Topology/Algebra/Order/LiminfLimsup.lean
339
385
theorem Antitone.map_limsSup_of_continuousAt {F : Filter R} [NeBot F] {f : R → S} (f_decr : Antitone f) (f_cont : ContinuousAt f F.limsSup) (bdd_above : F.IsBounded (· ≤ ·) := by
isBoundedDefault) (bdd_below : F.IsBounded (· ≥ ·) := by isBoundedDefault) : f F.limsSup = F.liminf f := by have cobdd : F.IsCobounded (· ≤ ·) := bdd_below.isCobounded_flip apply le_antisymm · rw [limsSup, f_decr.map_sInf_of_continuousAt' f_cont bdd_above cobdd] apply le_of_forall_lt intro c hc simp only [liminf, limsInf, eventually_map] at hc ⊢ obtain ⟨d, hd, h'd⟩ := exists_lt_of_lt_csSup (bdd_above.recOn fun x hx ↦ ⟨f x, Set.mem_image_of_mem f hx⟩) hc apply lt_csSup_of_lt ?_ ?_ h'd · exact (Antitone.isBoundedUnder_le_comp f_decr bdd_below).isCoboundedUnder_flip · rcases hd with ⟨e, ⟨he, fe_eq_d⟩⟩ filter_upwards [he] with x hx using (fe_eq_d.symm ▸ f_decr hx) · by_cases h' : ∃ c, c < F.limsSup ∧ Set.Ioo c F.limsSup = ∅ · rcases h' with ⟨c, c_lt, hc⟩ have B : ∃ᶠ n in F, F.limsSup ≤ n := by apply (frequently_lt_of_lt_limsSup cobdd c_lt).mono intro x hx by_contra! have : (Set.Ioo c F.limsSup).Nonempty := ⟨x, ⟨hx, this⟩⟩ simp only [hc, Set.not_nonempty_empty] at this apply liminf_le_of_frequently_le _ (bdd_above.isBoundedUnder f_decr) exact B.mono fun x hx ↦ f_decr hx push_neg at h' by_contra! H have not_bot : ¬ IsBot F.limsSup := fun maybe_bot ↦ lt_irrefl (F.liminf f) <| lt_of_le_of_lt (liminf_le_of_frequently_le (frequently_of_forall (fun r ↦ f_decr (maybe_bot r))) (bdd_above.isBoundedUnder f_decr)) H obtain ⟨l, l_lt, h'l⟩ : ∃ l < F.limsSup, Set.Ioc l F.limsSup ⊆ { x : R | f x < F.liminf f } := by apply exists_Ioc_subset_of_mem_nhds ((tendsto_order.1 f_cont.tendsto).2 _ H) simpa [IsBot] using not_bot obtain ⟨m, l_m, m_lt⟩ : (Set.Ioo l F.limsSup).Nonempty := by contrapose! h' exact ⟨l, l_lt, h'⟩ have B : F.liminf f ≤ f m := by apply liminf_le_of_frequently_le _ _ · apply (frequently_lt_of_lt_limsSup cobdd m_lt).mono exact fun x hx ↦ f_decr hx.le · exact IsBounded.isBoundedUnder f_decr bdd_above have I : f m < F.liminf f := h'l ⟨l_m, m_lt.le⟩ exact lt_irrefl _ (B.trans_lt I)
45
34,934,271,057,485,095,000
2
1.8
5
1,883
import Mathlib.Probability.Kernel.MeasurableIntegral import Mathlib.MeasureTheory.Integral.SetIntegral #align_import probability.kernel.with_density from "leanprover-community/mathlib"@"c0d694db494dd4f9aa57f2714b6e4c82b4ebc113" open MeasureTheory ProbabilityTheory open scoped MeasureTheory ENNReal NNReal namespace ProbabilityTheory.kernel variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} variable {κ : kernel α β} {f : α → β → ℝ≥0∞} noncomputable def withDensity (κ : kernel α β) [IsSFiniteKernel κ] (f : α → β → ℝ≥0∞) : kernel α β := @dite _ (Measurable (Function.uncurry f)) (Classical.dec _) (fun hf => (⟨fun a => (κ a).withDensity (f a), by refine Measure.measurable_of_measurable_coe _ fun s hs => ?_ simp_rw [withDensity_apply _ hs] exact hf.set_lintegral_kernel_prod_right hs⟩ : kernel α β)) fun _ => 0 #align probability_theory.kernel.with_density ProbabilityTheory.kernel.withDensity theorem withDensity_of_not_measurable (κ : kernel α β) [IsSFiniteKernel κ] (hf : ¬Measurable (Function.uncurry f)) : withDensity κ f = 0 := by classical exact dif_neg hf #align probability_theory.kernel.with_density_of_not_measurable ProbabilityTheory.kernel.withDensity_of_not_measurable protected theorem withDensity_apply (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable (Function.uncurry f)) (a : α) : withDensity κ f a = (κ a).withDensity (f a) := by classical rw [withDensity, dif_pos hf] rfl #align probability_theory.kernel.with_density_apply ProbabilityTheory.kernel.withDensity_apply protected theorem withDensity_apply' (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable (Function.uncurry f)) (a : α) (s : Set β) : withDensity κ f a s = ∫⁻ b in s, f a b ∂κ a := by rw [kernel.withDensity_apply κ hf, withDensity_apply' _ s] #align probability_theory.kernel.with_density_apply' ProbabilityTheory.kernel.withDensity_apply' nonrec lemma withDensity_congr_ae (κ : kernel α β) [IsSFiniteKernel κ] {f g : α → β → ℝ≥0∞} (hf : Measurable (Function.uncurry f)) (hg : Measurable (Function.uncurry g)) (hfg : ∀ a, f a =ᵐ[κ a] g a) : withDensity κ f = withDensity κ g := by ext a rw [kernel.withDensity_apply _ hf,kernel.withDensity_apply _ hg, withDensity_congr_ae (hfg a)] nonrec lemma withDensity_absolutelyContinuous [IsSFiniteKernel κ] (f : α → β → ℝ≥0∞) (a : α) : kernel.withDensity κ f a ≪ κ a := by by_cases hf : Measurable (Function.uncurry f) · rw [kernel.withDensity_apply _ hf] exact withDensity_absolutelyContinuous _ _ · rw [withDensity_of_not_measurable _ hf] simp [Measure.AbsolutelyContinuous.zero] @[simp] lemma withDensity_one (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ 1 = κ := by ext; rw [kernel.withDensity_apply _ measurable_const]; simp @[simp] lemma withDensity_one' (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ (fun _ _ ↦ 1) = κ := kernel.withDensity_one _ @[simp] lemma withDensity_zero (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ 0 = 0 := by ext; rw [kernel.withDensity_apply _ measurable_const]; simp @[simp] lemma withDensity_zero' (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ (fun _ _ ↦ 0) = 0 := kernel.withDensity_zero _ theorem lintegral_withDensity (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable (Function.uncurry f)) (a : α) {g : β → ℝ≥0∞} (hg : Measurable g) : ∫⁻ b, g b ∂withDensity κ f a = ∫⁻ b, f a b * g b ∂κ a := by rw [kernel.withDensity_apply _ hf, lintegral_withDensity_eq_lintegral_mul _ (Measurable.of_uncurry_left hf) hg] simp_rw [Pi.mul_apply] #align probability_theory.kernel.lintegral_with_density ProbabilityTheory.kernel.lintegral_withDensity theorem integral_withDensity {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {f : β → E} [IsSFiniteKernel κ] {a : α} {g : α → β → ℝ≥0} (hg : Measurable (Function.uncurry g)) : ∫ b, f b ∂withDensity κ (fun a b => g a b) a = ∫ b, g a b • f b ∂κ a := by rw [kernel.withDensity_apply, integral_withDensity_eq_integral_smul] · exact Measurable.of_uncurry_left hg · exact measurable_coe_nnreal_ennreal.comp hg #align probability_theory.kernel.integral_with_density ProbabilityTheory.kernel.integral_withDensity
Mathlib/Probability/Kernel/WithDensity.lean
125
132
theorem withDensity_add_left (κ η : kernel α β) [IsSFiniteKernel κ] [IsSFiniteKernel η] (f : α → β → ℝ≥0∞) : withDensity (κ + η) f = withDensity κ f + withDensity η f := by
by_cases hf : Measurable (Function.uncurry f) · ext a s simp only [kernel.withDensity_apply _ hf, coeFn_add, Pi.add_apply, withDensity_add_measure, Measure.add_apply] · simp_rw [withDensity_of_not_measurable _ hf] rw [zero_add]
6
403.428793
2
1.2
5
1,277
import Mathlib.RingTheory.FinitePresentation import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Localization.Away.AdjoinRoot import Mathlib.RingTheory.QuotientNilpotent import Mathlib.RingTheory.TensorProduct.Basic -- Porting note: added to make the syntax work below. open scoped TensorProduct universe u namespace Algebra section variable (R : Type u) [CommSemiring R] variable (A : Type u) [Semiring A] [Algebra R A] @[mk_iff] class FormallyUnramified : Prop where comp_injective : ∀ ⦃B : Type u⦄ [CommRing B], ∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥), Function.Injective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I) #align algebra.formally_unramified Algebra.FormallyUnramified end namespace FormallyUnramified section variable {R : Type u} [CommSemiring R] variable {A : Type u} [Semiring A] [Algebra R A] variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B) theorem lift_unique {B : Type u} [CommRing B] [_RB : Algebra R B] [FormallyUnramified R A] (I : Ideal B) (hI : IsNilpotent I) (g₁ g₂ : A →ₐ[R] B) (h : (Ideal.Quotient.mkₐ R I).comp g₁ = (Ideal.Quotient.mkₐ R I).comp g₂) : g₁ = g₂ := by revert g₁ g₂ change Function.Injective (Ideal.Quotient.mkₐ R I).comp revert _RB apply Ideal.IsNilpotent.induction_on (R := B) I hI · intro B _ I hI _; exact FormallyUnramified.comp_injective I hI · intro B _ I J hIJ h₁ h₂ _ g₁ g₂ e apply h₁ apply h₂ ext x replace e := AlgHom.congr_fun e x dsimp only [AlgHom.comp_apply, Ideal.Quotient.mkₐ_eq_mk] at e ⊢ rwa [Ideal.Quotient.eq, ← map_sub, Ideal.mem_quotient_iff_mem hIJ, ← Ideal.Quotient.eq] #align algebra.formally_unramified.lift_unique Algebra.FormallyUnramified.lift_unique theorem ext [FormallyUnramified R A] (hI : IsNilpotent I) {g₁ g₂ : A →ₐ[R] B} (H : ∀ x, Ideal.Quotient.mk I (g₁ x) = Ideal.Quotient.mk I (g₂ x)) : g₁ = g₂ := FormallyUnramified.lift_unique I hI g₁ g₂ (AlgHom.ext H) #align algebra.formally_unramified.ext Algebra.FormallyUnramified.ext theorem lift_unique_of_ringHom [FormallyUnramified R A] {C : Type u} [CommRing C] (f : B →+* C) (hf : IsNilpotent <| RingHom.ker f) (g₁ g₂ : A →ₐ[R] B) (h : f.comp ↑g₁ = f.comp (g₂ : A →+* B)) : g₁ = g₂ := FormallyUnramified.lift_unique _ hf _ _ (by ext x have := RingHom.congr_fun h x simpa only [Ideal.Quotient.eq, Function.comp_apply, AlgHom.coe_comp, Ideal.Quotient.mkₐ_eq_mk, RingHom.mem_ker, map_sub, sub_eq_zero]) #align algebra.formally_unramified.lift_unique_of_ring_hom Algebra.FormallyUnramified.lift_unique_of_ringHom theorem ext' [FormallyUnramified R A] {C : Type u} [CommRing C] (f : B →+* C) (hf : IsNilpotent <| RingHom.ker f) (g₁ g₂ : A →ₐ[R] B) (h : ∀ x, f (g₁ x) = f (g₂ x)) : g₁ = g₂ := FormallyUnramified.lift_unique_of_ringHom f hf g₁ g₂ (RingHom.ext h) #align algebra.formally_unramified.ext' Algebra.FormallyUnramified.ext' theorem lift_unique' [FormallyUnramified R A] {C : Type u} [CommRing C] [Algebra R C] (f : B →ₐ[R] C) (hf : IsNilpotent <| RingHom.ker (f : B →+* C)) (g₁ g₂ : A →ₐ[R] B) (h : f.comp g₁ = f.comp g₂) : g₁ = g₂ := FormallyUnramified.ext' _ hf g₁ g₂ (AlgHom.congr_fun h) #align algebra.formally_unramified.lift_unique' Algebra.FormallyUnramified.lift_unique' end section Comp variable (R : Type u) [CommSemiring R] variable (A : Type u) [CommSemiring A] [Algebra R A] variable (B : Type u) [Semiring B] [Algebra R B] [Algebra A B] [IsScalarTower R A B] theorem comp [FormallyUnramified R A] [FormallyUnramified A B] : FormallyUnramified R B := by constructor intro C _ _ I hI f₁ f₂ e have e' := FormallyUnramified.lift_unique I ⟨2, hI⟩ (f₁.comp <| IsScalarTower.toAlgHom R A B) (f₂.comp <| IsScalarTower.toAlgHom R A B) (by rw [← AlgHom.comp_assoc, e, AlgHom.comp_assoc]) letI := (f₁.comp (IsScalarTower.toAlgHom R A B)).toRingHom.toAlgebra let F₁ : B →ₐ[A] C := { f₁ with commutes' := fun r => rfl } let F₂ : B →ₐ[A] C := { f₂ with commutes' := AlgHom.congr_fun e'.symm } ext1 x change F₁ x = F₂ x congr exact FormallyUnramified.ext I ⟨2, hI⟩ (AlgHom.congr_fun e) #align algebra.formally_unramified.comp Algebra.FormallyUnramified.comp
Mathlib/RingTheory/Unramified/Basic.lean
155
163
theorem of_comp [FormallyUnramified R B] : FormallyUnramified A B := by
constructor intro Q _ _ I e f₁ f₂ e' letI := ((algebraMap A Q).comp (algebraMap R A)).toAlgebra letI : IsScalarTower R A Q := IsScalarTower.of_algebraMap_eq' rfl refine AlgHom.restrictScalars_injective R ?_ refine FormallyUnramified.ext I ⟨2, e⟩ ?_ intro x exact AlgHom.congr_fun e' x
8
2,980.957987
2
2
5
1,974
import Mathlib.Order.Interval.Set.Monotone import Mathlib.Topology.MetricSpace.Basic import Mathlib.Topology.MetricSpace.Bounded import Mathlib.Topology.Order.MonotoneConvergence #align_import analysis.box_integral.box.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Function Metric Filter noncomputable section open scoped Classical open NNReal Topology namespace BoxIntegral variable {ι : Type*} structure Box (ι : Type*) where (lower upper : ι → ℝ) lower_lt_upper : ∀ i, lower i < upper i #align box_integral.box BoxIntegral.Box attribute [simp] Box.lower_lt_upper namespace Box variable (I J : Box ι) {x y : ι → ℝ} instance : Inhabited (Box ι) := ⟨⟨0, 1, fun _ ↦ zero_lt_one⟩⟩ theorem lower_le_upper : I.lower ≤ I.upper := fun i ↦ (I.lower_lt_upper i).le #align box_integral.box.lower_le_upper BoxIntegral.Box.lower_le_upper theorem lower_ne_upper (i) : I.lower i ≠ I.upper i := (I.lower_lt_upper i).ne #align box_integral.box.lower_ne_upper BoxIntegral.Box.lower_ne_upper instance : Membership (ι → ℝ) (Box ι) := ⟨fun x I ↦ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i)⟩ -- Porting note: added @[coe] def toSet (I : Box ι) : Set (ι → ℝ) := { x | x ∈ I } instance : CoeTC (Box ι) (Set <| ι → ℝ) := ⟨toSet⟩ @[simp] theorem mem_mk {l u x : ι → ℝ} {H} : x ∈ mk l u H ↔ ∀ i, x i ∈ Ioc (l i) (u i) := Iff.rfl #align box_integral.box.mem_mk BoxIntegral.Box.mem_mk @[simp, norm_cast] theorem mem_coe : x ∈ (I : Set (ι → ℝ)) ↔ x ∈ I := Iff.rfl #align box_integral.box.mem_coe BoxIntegral.Box.mem_coe theorem mem_def : x ∈ I ↔ ∀ i, x i ∈ Ioc (I.lower i) (I.upper i) := Iff.rfl #align box_integral.box.mem_def BoxIntegral.Box.mem_def theorem mem_univ_Ioc {I : Box ι} : (x ∈ pi univ fun i ↦ Ioc (I.lower i) (I.upper i)) ↔ x ∈ I := mem_univ_pi #align box_integral.box.mem_univ_Ioc BoxIntegral.Box.mem_univ_Ioc theorem coe_eq_pi : (I : Set (ι → ℝ)) = pi univ fun i ↦ Ioc (I.lower i) (I.upper i) := Set.ext fun _ ↦ mem_univ_Ioc.symm #align box_integral.box.coe_eq_pi BoxIntegral.Box.coe_eq_pi @[simp] theorem upper_mem : I.upper ∈ I := fun i ↦ right_mem_Ioc.2 <| I.lower_lt_upper i #align box_integral.box.upper_mem BoxIntegral.Box.upper_mem theorem exists_mem : ∃ x, x ∈ I := ⟨_, I.upper_mem⟩ #align box_integral.box.exists_mem BoxIntegral.Box.exists_mem theorem nonempty_coe : Set.Nonempty (I : Set (ι → ℝ)) := I.exists_mem #align box_integral.box.nonempty_coe BoxIntegral.Box.nonempty_coe @[simp] theorem coe_ne_empty : (I : Set (ι → ℝ)) ≠ ∅ := I.nonempty_coe.ne_empty #align box_integral.box.coe_ne_empty BoxIntegral.Box.coe_ne_empty @[simp] theorem empty_ne_coe : ∅ ≠ (I : Set (ι → ℝ)) := I.coe_ne_empty.symm #align box_integral.box.empty_ne_coe BoxIntegral.Box.empty_ne_coe instance : LE (Box ι) := ⟨fun I J ↦ ∀ ⦃x⦄, x ∈ I → x ∈ J⟩ theorem le_def : I ≤ J ↔ ∀ x ∈ I, x ∈ J := Iff.rfl #align box_integral.box.le_def BoxIntegral.Box.le_def
Mathlib/Analysis/BoxIntegral/Box/Basic.lean
157
168
theorem le_TFAE : List.TFAE [I ≤ J, (I : Set (ι → ℝ)) ⊆ J, Icc I.lower I.upper ⊆ Icc J.lower J.upper, J.lower ≤ I.lower ∧ I.upper ≤ J.upper] := by
tfae_have 1 ↔ 2 · exact Iff.rfl tfae_have 2 → 3 · intro h simpa [coe_eq_pi, closure_pi_set, lower_ne_upper] using closure_mono h tfae_have 3 ↔ 4 · exact Icc_subset_Icc_iff I.lower_le_upper tfae_have 4 → 2 · exact fun h x hx i ↦ Ioc_subset_Ioc (h.1 i) (h.2 i) (hx i) tfae_finish
10
22,026.465795
2
2
2
2,337
import Mathlib.Algebra.IsPrimePow import Mathlib.SetTheory.Cardinal.Ordinal import Mathlib.Tactic.WLOG #align_import set_theory.cardinal.divisibility from "leanprover-community/mathlib"@"ea050b44c0f9aba9d16a948c7cc7d2e7c8493567" namespace Cardinal open Cardinal universe u variable {a b : Cardinal.{u}} {n m : ℕ} @[simp] theorem isUnit_iff : IsUnit a ↔ a = 1 := by refine ⟨fun h => ?_, by rintro rfl exact isUnit_one⟩ rcases eq_or_ne a 0 with (rfl | ha) · exact (not_isUnit_zero h).elim rw [isUnit_iff_forall_dvd] at h cases' h 1 with t ht rw [eq_comm, mul_eq_one_iff'] at ht · exact ht.1 · exact one_le_iff_ne_zero.mpr ha · apply one_le_iff_ne_zero.mpr intro h rw [h, mul_zero] at ht exact zero_ne_one ht #align cardinal.is_unit_iff Cardinal.isUnit_iff instance : Unique Cardinal.{u}ˣ where default := 1 uniq a := Units.val_eq_one.mp <| isUnit_iff.mp a.isUnit theorem le_of_dvd : ∀ {a b : Cardinal}, b ≠ 0 → a ∣ b → a ≤ b | a, x, b0, ⟨b, hab⟩ => by simpa only [hab, mul_one] using mul_le_mul_left' (one_le_iff_ne_zero.2 fun h : b = 0 => b0 (by rwa [h, mul_zero] at hab)) a #align cardinal.le_of_dvd Cardinal.le_of_dvd theorem dvd_of_le_of_aleph0_le (ha : a ≠ 0) (h : a ≤ b) (hb : ℵ₀ ≤ b) : a ∣ b := ⟨b, (mul_eq_right hb h ha).symm⟩ #align cardinal.dvd_of_le_of_aleph_0_le Cardinal.dvd_of_le_of_aleph0_le @[simp] theorem prime_of_aleph0_le (ha : ℵ₀ ≤ a) : Prime a := by refine ⟨(aleph0_pos.trans_le ha).ne', ?_, fun b c hbc => ?_⟩ · rw [isUnit_iff] exact (one_lt_aleph0.trans_le ha).ne' rcases eq_or_ne (b * c) 0 with hz | hz · rcases mul_eq_zero.mp hz with (rfl | rfl) <;> simp wlog h : c ≤ b · cases le_total c b <;> [solve_by_elim; rw [or_comm]] apply_assumption assumption' all_goals rwa [mul_comm] left have habc := le_of_dvd hz hbc rwa [mul_eq_max' <| ha.trans <| habc, max_def', if_pos h] at hbc #align cardinal.prime_of_aleph_0_le Cardinal.prime_of_aleph0_le theorem not_irreducible_of_aleph0_le (ha : ℵ₀ ≤ a) : ¬Irreducible a := by rw [irreducible_iff, not_and_or] refine Or.inr fun h => ?_ simpa [mul_aleph0_eq ha, isUnit_iff, (one_lt_aleph0.trans_le ha).ne', one_lt_aleph0.ne'] using h a ℵ₀ #align cardinal.not_irreducible_of_aleph_0_le Cardinal.not_irreducible_of_aleph0_le @[simp, norm_cast] theorem nat_coe_dvd_iff : (n : Cardinal) ∣ m ↔ n ∣ m := by refine ⟨?_, fun ⟨h, ht⟩ => ⟨h, mod_cast ht⟩⟩ rintro ⟨k, hk⟩ have : ↑m < ℵ₀ := nat_lt_aleph0 m rw [hk, mul_lt_aleph0_iff] at this rcases this with (h | h | ⟨-, hk'⟩) iterate 2 simp only [h, mul_zero, zero_mul, Nat.cast_eq_zero] at hk; simp [hk] lift k to ℕ using hk' exact ⟨k, mod_cast hk⟩ #align cardinal.nat_coe_dvd_iff Cardinal.nat_coe_dvd_iff @[simp]
Mathlib/SetTheory/Cardinal/Divisibility.lean
112
134
theorem nat_is_prime_iff : Prime (n : Cardinal) ↔ n.Prime := by
simp only [Prime, Nat.prime_iff] refine and_congr (by simp) (and_congr ?_ ⟨fun h b c hbc => ?_, fun h b c hbc => ?_⟩) · simp only [isUnit_iff, Nat.isUnit_iff] exact mod_cast Iff.rfl · exact mod_cast h b c (mod_cast hbc) cases' lt_or_le (b * c) ℵ₀ with h' h' · rcases mul_lt_aleph0_iff.mp h' with (rfl | rfl | ⟨hb, hc⟩) · simp · simp lift b to ℕ using hb lift c to ℕ using hc exact mod_cast h b c (mod_cast hbc) rcases aleph0_le_mul_iff.mp h' with ⟨hb, hc, hℵ₀⟩ have hn : (n : Cardinal) ≠ 0 := by intro h rw [h, zero_dvd_iff, mul_eq_zero] at hbc cases hbc <;> contradiction wlog hℵ₀b : ℵ₀ ≤ b apply (this h c b _ _ hc hb hℵ₀.symm hn (hℵ₀.resolve_left hℵ₀b)).symm <;> try assumption · rwa [mul_comm] at hbc · rwa [mul_comm] at h' · exact Or.inl (dvd_of_le_of_aleph0_le hn ((nat_lt_aleph0 n).le.trans hℵ₀b) hℵ₀b)
22
3,584,912,846.131591
2
2
7
2,430
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Ring.Rat import Mathlib.Data.Multiset.Sort import Mathlib.Data.PNat.Basic import Mathlib.Data.PNat.Interval import Mathlib.Tactic.NormNum import Mathlib.Tactic.IntervalCases #align_import number_theory.ADE_inequality from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" namespace ADEInequality open Multiset -- Porting note: ADE is a special name, exceptionally in upper case in Lean3 set_option linter.uppercaseLean3 false def A' (q r : ℕ+) : Multiset ℕ+ := {1, q, r} #align ADE_inequality.A' ADEInequality.A' def A (r : ℕ+) : Multiset ℕ+ := A' 1 r #align ADE_inequality.A ADEInequality.A def D' (r : ℕ+) : Multiset ℕ+ := {2, 2, r} #align ADE_inequality.D' ADEInequality.D' def E' (r : ℕ+) : Multiset ℕ+ := {2, 3, r} #align ADE_inequality.E' ADEInequality.E' def E6 : Multiset ℕ+ := E' 3 #align ADE_inequality.E6 ADEInequality.E6 def E7 : Multiset ℕ+ := E' 4 #align ADE_inequality.E7 ADEInequality.E7 def E8 : Multiset ℕ+ := E' 5 #align ADE_inequality.E8 ADEInequality.E8 def sumInv (pqr : Multiset ℕ+) : ℚ := Multiset.sum (pqr.map fun (x : ℕ+) => x⁻¹) #align ADE_inequality.sum_inv ADEInequality.sumInv theorem sumInv_pqr (p q r : ℕ+) : sumInv {p, q, r} = (p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ := by simp only [sumInv, add_zero, insert_eq_cons, add_assoc, map_cons, sum_cons, map_singleton, sum_singleton] #align ADE_inequality.sum_inv_pqr ADEInequality.sumInv_pqr def Admissible (pqr : Multiset ℕ+) : Prop := (∃ q r, A' q r = pqr) ∨ (∃ r, D' r = pqr) ∨ E' 3 = pqr ∨ E' 4 = pqr ∨ E' 5 = pqr #align ADE_inequality.admissible ADEInequality.Admissible theorem admissible_A' (q r : ℕ+) : Admissible (A' q r) := Or.inl ⟨q, r, rfl⟩ #align ADE_inequality.admissible_A' ADEInequality.admissible_A' theorem admissible_D' (n : ℕ+) : Admissible (D' n) := Or.inr <| Or.inl ⟨n, rfl⟩ #align ADE_inequality.admissible_D' ADEInequality.admissible_D' theorem admissible_E'3 : Admissible (E' 3) := Or.inr <| Or.inr <| Or.inl rfl #align ADE_inequality.admissible_E'3 ADEInequality.admissible_E'3 theorem admissible_E'4 : Admissible (E' 4) := Or.inr <| Or.inr <| Or.inr <| Or.inl rfl #align ADE_inequality.admissible_E'4 ADEInequality.admissible_E'4 theorem admissible_E'5 : Admissible (E' 5) := Or.inr <| Or.inr <| Or.inr <| Or.inr rfl #align ADE_inequality.admissible_E'5 ADEInequality.admissible_E'5 theorem admissible_E6 : Admissible E6 := admissible_E'3 #align ADE_inequality.admissible_E6 ADEInequality.admissible_E6 theorem admissible_E7 : Admissible E7 := admissible_E'4 #align ADE_inequality.admissible_E7 ADEInequality.admissible_E7 theorem admissible_E8 : Admissible E8 := admissible_E'5 #align ADE_inequality.admissible_E8 ADEInequality.admissible_E8
Mathlib/NumberTheory/ADEInequality.lean
160
172
theorem Admissible.one_lt_sumInv {pqr : Multiset ℕ+} : Admissible pqr → 1 < sumInv pqr := by
rw [Admissible] rintro (⟨p', q', H⟩ | ⟨n, H⟩ | H | H | H) · rw [← H, A', sumInv_pqr, add_assoc] simp only [lt_add_iff_pos_right, PNat.one_coe, inv_one, Nat.cast_one] apply add_pos <;> simp only [PNat.pos, Nat.cast_pos, inv_pos] · rw [← H, D', sumInv_pqr] conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe] norm_num all_goals rw [← H, E', sumInv_pqr] conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe] rfl
12
162,754.791419
2
1.75
4
1,856
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.RingTheory.Int.Basic import Mathlib.Tactic.Ring import Mathlib.Tactic.FieldSimp import Mathlib.Data.Int.NatPrime import Mathlib.Data.ZMod.Basic #align_import number_theory.pythagorean_triples from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" theorem sq_ne_two_fin_zmod_four (z : ZMod 4) : z * z ≠ 2 := by change Fin 4 at z fin_cases z <;> decide #align sq_ne_two_fin_zmod_four sq_ne_two_fin_zmod_four theorem Int.sq_ne_two_mod_four (z : ℤ) : z * z % 4 ≠ 2 := by suffices ¬z * z % (4 : ℕ) = 2 % (4 : ℕ) by exact this rw [← ZMod.intCast_eq_intCast_iff'] simpa using sq_ne_two_fin_zmod_four _ #align int.sq_ne_two_mod_four Int.sq_ne_two_mod_four noncomputable section open scoped Classical def PythagoreanTriple (x y z : ℤ) : Prop := x * x + y * y = z * z #align pythagorean_triple PythagoreanTriple theorem pythagoreanTriple_comm {x y z : ℤ} : PythagoreanTriple x y z ↔ PythagoreanTriple y x z := by delta PythagoreanTriple rw [add_comm] #align pythagorean_triple_comm pythagoreanTriple_comm theorem PythagoreanTriple.zero : PythagoreanTriple 0 0 0 := by simp only [PythagoreanTriple, zero_mul, zero_add] #align pythagorean_triple.zero PythagoreanTriple.zero namespace PythagoreanTriple variable {x y z : ℤ} (h : PythagoreanTriple x y z) theorem eq : x * x + y * y = z * z := h #align pythagorean_triple.eq PythagoreanTriple.eq @[symm] theorem symm : PythagoreanTriple y x z := by rwa [pythagoreanTriple_comm] #align pythagorean_triple.symm PythagoreanTriple.symm theorem mul (k : ℤ) : PythagoreanTriple (k * x) (k * y) (k * z) := calc k * x * (k * x) + k * y * (k * y) = k ^ 2 * (x * x + y * y) := by ring _ = k ^ 2 * (z * z) := by rw [h.eq] _ = k * z * (k * z) := by ring #align pythagorean_triple.mul PythagoreanTriple.mul theorem mul_iff (k : ℤ) (hk : k ≠ 0) : PythagoreanTriple (k * x) (k * y) (k * z) ↔ PythagoreanTriple x y z := by refine ⟨?_, fun h => h.mul k⟩ simp only [PythagoreanTriple] intro h rw [← mul_left_inj' (mul_ne_zero hk hk)] convert h using 1 <;> ring #align pythagorean_triple.mul_iff PythagoreanTriple.mul_iff @[nolint unusedArguments] def IsClassified (_ : PythagoreanTriple x y z) := ∃ k m n : ℤ, (x = k * (m ^ 2 - n ^ 2) ∧ y = k * (2 * m * n) ∨ x = k * (2 * m * n) ∧ y = k * (m ^ 2 - n ^ 2)) ∧ Int.gcd m n = 1 #align pythagorean_triple.is_classified PythagoreanTriple.IsClassified @[nolint unusedArguments] def IsPrimitiveClassified (_ : PythagoreanTriple x y z) := ∃ m n : ℤ, (x = m ^ 2 - n ^ 2 ∧ y = 2 * m * n ∨ x = 2 * m * n ∧ y = m ^ 2 - n ^ 2) ∧ Int.gcd m n = 1 ∧ (m % 2 = 0 ∧ n % 2 = 1 ∨ m % 2 = 1 ∧ n % 2 = 0) #align pythagorean_triple.is_primitive_classified PythagoreanTriple.IsPrimitiveClassified theorem mul_isClassified (k : ℤ) (hc : h.IsClassified) : (h.mul k).IsClassified := by obtain ⟨l, m, n, ⟨⟨rfl, rfl⟩ | ⟨rfl, rfl⟩, co⟩⟩ := hc · use k * l, m, n apply And.intro _ co left constructor <;> ring · use k * l, m, n apply And.intro _ co right constructor <;> ring #align pythagorean_triple.mul_is_classified PythagoreanTriple.mul_isClassified
Mathlib/NumberTheory/PythagoreanTriples.lean
132
161
theorem even_odd_of_coprime (hc : Int.gcd x y = 1) : x % 2 = 0 ∧ y % 2 = 1 ∨ x % 2 = 1 ∧ y % 2 = 0 := by
cases' Int.emod_two_eq_zero_or_one x with hx hx <;> cases' Int.emod_two_eq_zero_or_one y with hy hy -- x even, y even · exfalso apply Nat.not_coprime_of_dvd_of_dvd (by decide : 1 < 2) _ _ hc · apply Int.natCast_dvd.1 apply Int.dvd_of_emod_eq_zero hx · apply Int.natCast_dvd.1 apply Int.dvd_of_emod_eq_zero hy -- x even, y odd · left exact ⟨hx, hy⟩ -- x odd, y even · right exact ⟨hx, hy⟩ -- x odd, y odd · exfalso obtain ⟨x0, y0, rfl, rfl⟩ : ∃ x0 y0, x = x0 * 2 + 1 ∧ y = y0 * 2 + 1 := by cases' exists_eq_mul_left_of_dvd (Int.dvd_sub_of_emod_eq hx) with x0 hx2 cases' exists_eq_mul_left_of_dvd (Int.dvd_sub_of_emod_eq hy) with y0 hy2 rw [sub_eq_iff_eq_add] at hx2 hy2 exact ⟨x0, y0, hx2, hy2⟩ apply Int.sq_ne_two_mod_four z rw [show z * z = 4 * (x0 * x0 + x0 + y0 * y0 + y0) + 2 by rw [← h.eq] ring] simp only [Int.add_emod, Int.mul_emod_right, zero_add] decide
28
1,446,257,064,291.475
2
1.2
10
1,251
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} 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 #align closure_Ioi' closure_Ioi' @[simp] theorem closure_Ioi (a : α) [NoMaxOrder α] : closure (Ioi a) = Ici a := closure_Ioi' nonempty_Ioi #align closure_Ioi closure_Ioi theorem closure_Iio' (h : (Iio a).Nonempty) : closure (Iio a) = Iic a := closure_Ioi' (α := αᵒᵈ) h #align closure_Iio' closure_Iio' @[simp] theorem closure_Iio (a : α) [NoMinOrder α] : closure (Iio a) = Iic a := closure_Iio' nonempty_Iio #align closure_Iio closure_Iio @[simp] theorem closure_Ioo {a b : α} (hab : a ≠ b) : closure (Ioo a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioo_subset_Icc_self isClosed_Icc · cases' hab.lt_or_lt with hab hab · rw [← diff_subset_closure_iff, Icc_diff_Ioo_same hab.le] have hab' : (Ioo a b).Nonempty := nonempty_Ioo.2 hab simp only [insert_subset_iff, singleton_subset_iff] exact ⟨(isGLB_Ioo hab).mem_closure hab', (isLUB_Ioo hab).mem_closure hab'⟩ · rw [Icc_eq_empty_of_lt hab] exact empty_subset _ #align closure_Ioo closure_Ioo @[simp]
Mathlib/Topology/Order/DenselyOrdered.lean
66
70
theorem closure_Ioc {a b : α} (hab : a ≠ b) : closure (Ioc a b) = Icc a b := by
apply Subset.antisymm · exact closure_minimal Ioc_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ioc_self) rw [closure_Ioo hab]
4
54.59815
2
0.769231
13
685
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
Mathlib/Algebra/Lie/Solvable.lean
116
124
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
7
1,096.633158
2
1
6
921
import Mathlib.MeasureTheory.Decomposition.SignedLebesgue import Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure #align_import measure_theory.decomposition.radon_nikodym from "leanprover-community/mathlib"@"fc75855907eaa8ff39791039710f567f37d4556f" noncomputable section open scoped Classical MeasureTheory NNReal ENNReal variable {α β : Type*} {m : MeasurableSpace α} namespace MeasureTheory namespace Measure
Mathlib/MeasureTheory/Decomposition/RadonNikodym.lean
56
66
theorem withDensity_rnDeriv_eq (μ ν : Measure α) [HaveLebesgueDecomposition μ ν] (h : μ ≪ ν) : ν.withDensity (rnDeriv μ ν) = μ := by
suffices μ.singularPart ν = 0 by conv_rhs => rw [haveLebesgueDecomposition_add μ ν, this, zero_add] suffices μ.singularPart ν Set.univ = 0 by simpa using this have h_sing := mutuallySingular_singularPart μ ν rw [← measure_add_measure_compl h_sing.measurableSet_nullSet] simp only [MutuallySingular.measure_nullSet, zero_add] refine le_antisymm ?_ (zero_le _) refine (singularPart_le μ ν ?_ ).trans_eq ?_ exact h h_sing.measure_compl_nullSet
9
8,103.083928
2
2
1
2,415
import Mathlib.Algebra.Algebra.Tower import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.GroupTheory.MonoidLocalization import Mathlib.RingTheory.Ideal.Basic import Mathlib.GroupTheory.GroupAction.Ring #align_import ring_theory.localization.basic from "leanprover-community/mathlib"@"b69c9a770ecf37eb21f7b8cf4fa00de3b62694ec" open Function section CommSemiring variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S] variable [Algebra R S] {P : Type*} [CommSemiring P] @[mk_iff] class IsLocalization : Prop where -- Porting note: add ' to fields, and made new versions of these with either `S` or `M` explicit. map_units' : ∀ y : M, IsUnit (algebraMap R S y) surj' : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 exists_of_eq : ∀ {x y}, algebraMap R S x = algebraMap R S y → ∃ c : M, ↑c * x = ↑c * y #align is_localization IsLocalization variable {M} namespace IsLocalization section IsLocalization variable [IsLocalization M S] section @[inherit_doc IsLocalization.map_units'] theorem map_units : ∀ y : M, IsUnit (algebraMap R S y) := IsLocalization.map_units' variable (M) {S} @[inherit_doc IsLocalization.surj'] theorem surj : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 := IsLocalization.surj' variable (S) @[inherit_doc IsLocalization.exists_of_eq] theorem eq_iff_exists {x y} : algebraMap R S x = algebraMap R S y ↔ ∃ c : M, ↑c * x = ↑c * y := Iff.intro IsLocalization.exists_of_eq fun ⟨c, h⟩ ↦ by apply_fun algebraMap R S at h rw [map_mul, map_mul] at h exact (IsLocalization.map_units S c).mul_right_inj.mp h variable {S} theorem of_le (N : Submonoid R) (h₁ : M ≤ N) (h₂ : ∀ r ∈ N, IsUnit (algebraMap R S r)) : IsLocalization N S where map_units' r := h₂ r r.2 surj' s := have ⟨⟨x, y, hy⟩, H⟩ := IsLocalization.surj M s ⟨⟨x, y, h₁ hy⟩, H⟩ exists_of_eq {x y} := by rw [IsLocalization.eq_iff_exists M] rintro ⟨c, hc⟩ exact ⟨⟨c, h₁ c.2⟩, hc⟩ #align is_localization.of_le IsLocalization.of_le variable (S) @[simps] def toLocalizationWithZeroMap : Submonoid.LocalizationWithZeroMap M S where __ := algebraMap R S toFun := algebraMap R S map_units' := IsLocalization.map_units _ surj' := IsLocalization.surj _ exists_of_eq _ _ := IsLocalization.exists_of_eq #align is_localization.to_localization_with_zero_map IsLocalization.toLocalizationWithZeroMap abbrev toLocalizationMap : Submonoid.LocalizationMap M S := (toLocalizationWithZeroMap M S).toLocalizationMap #align is_localization.to_localization_map IsLocalization.toLocalizationMap @[simp] theorem toLocalizationMap_toMap : (toLocalizationMap M S).toMap = (algebraMap R S : R →*₀ S) := rfl #align is_localization.to_localization_map_to_map IsLocalization.toLocalizationMap_toMap theorem toLocalizationMap_toMap_apply (x) : (toLocalizationMap M S).toMap x = algebraMap R S x := rfl #align is_localization.to_localization_map_to_map_apply IsLocalization.toLocalizationMap_toMap_apply theorem surj₂ : ∀ z w : S, ∃ z' w' : R, ∃ d : M, (z * algebraMap R S d = algebraMap R S z') ∧ (w * algebraMap R S d = algebraMap R S w') := (toLocalizationMap M S).surj₂ end variable (M) {S} noncomputable def sec (z : S) : R × M := Classical.choose <| IsLocalization.surj _ z #align is_localization.sec IsLocalization.sec @[simp] theorem toLocalizationMap_sec : (toLocalizationMap M S).sec = sec M := rfl #align is_localization.to_localization_map_sec IsLocalization.toLocalizationMap_sec theorem sec_spec (z : S) : z * algebraMap R S (IsLocalization.sec M z).2 = algebraMap R S (IsLocalization.sec M z).1 := Classical.choose_spec <| IsLocalization.surj _ z #align is_localization.sec_spec IsLocalization.sec_spec theorem sec_spec' (z : S) : algebraMap R S (IsLocalization.sec M z).1 = algebraMap R S (IsLocalization.sec M z).2 * z := by rw [mul_comm, sec_spec] #align is_localization.sec_spec' IsLocalization.sec_spec' variable {M} theorem subsingleton (h : 0 ∈ M) : Subsingleton S := (toLocalizationMap M S).subsingleton h theorem map_right_cancel {x y} {c : M} (h : algebraMap R S (c * x) = algebraMap R S (c * y)) : algebraMap R S x = algebraMap R S y := (toLocalizationMap M S).map_right_cancel h #align is_localization.map_right_cancel IsLocalization.map_right_cancel theorem map_left_cancel {x y} {c : M} (h : algebraMap R S (x * c) = algebraMap R S (y * c)) : algebraMap R S x = algebraMap R S y := (toLocalizationMap M S).map_left_cancel h #align is_localization.map_left_cancel IsLocalization.map_left_cancel theorem eq_zero_of_fst_eq_zero {z x} {y : M} (h : z * algebraMap R S y = algebraMap R S x) (hx : x = 0) : z = 0 := by rw [hx, (algebraMap R S).map_zero] at h exact (IsUnit.mul_left_eq_zero (IsLocalization.map_units S y)).1 h #align is_localization.eq_zero_of_fst_eq_zero IsLocalization.eq_zero_of_fst_eq_zero variable (M S)
Mathlib/RingTheory/Localization/Basic.lean
230
237
theorem map_eq_zero_iff (r : R) : algebraMap R S r = 0 ↔ ∃ m : M, ↑m * r = 0 := by
constructor · intro h obtain ⟨m, hm⟩ := (IsLocalization.eq_iff_exists M S).mp ((algebraMap R S).map_zero.trans h.symm) exact ⟨m, by simpa using hm.symm⟩ · rintro ⟨m, hm⟩ rw [← (IsLocalization.map_units S m).mul_right_inj, mul_zero, ← RingHom.map_mul, hm, RingHom.map_zero]
7
1,096.633158
2
1
4
1,001
import Mathlib.Order.WellFounded import Mathlib.Tactic.Common #align_import data.pi.lex from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" assert_not_exists Monoid variable {ι : Type*} {β : ι → Type*} (r : ι → ι → Prop) (s : ∀ {i}, β i → β i → Prop) namespace Pi protected def Lex (x y : ∀ i, β i) : Prop := ∃ i, (∀ j, r j i → x j = y j) ∧ s (x i) (y i) #align pi.lex Pi.Lex notation3 (prettyPrint := false) "Πₗ "(...)", "r:(scoped p => Lex (∀ i, p i)) => r @[simp] theorem toLex_apply (x : ∀ i, β i) (i : ι) : toLex x i = x i := rfl #align pi.to_lex_apply Pi.toLex_apply @[simp] theorem ofLex_apply (x : Lex (∀ i, β i)) (i : ι) : ofLex x i = x i := rfl #align pi.of_lex_apply Pi.ofLex_apply theorem lex_lt_of_lt_of_preorder [∀ i, Preorder (β i)] {r} (hwf : WellFounded r) {x y : ∀ i, β i} (hlt : x < y) : ∃ i, (∀ j, r j i → x j ≤ y j ∧ y j ≤ x j) ∧ x i < y i := let h' := Pi.lt_def.1 hlt let ⟨i, hi, hl⟩ := hwf.has_min _ h'.2 ⟨i, fun j hj => ⟨h'.1 j, not_not.1 fun h => hl j (lt_of_le_not_le (h'.1 j) h) hj⟩, hi⟩ #align pi.lex_lt_of_lt_of_preorder Pi.lex_lt_of_lt_of_preorder theorem lex_lt_of_lt [∀ i, PartialOrder (β i)] {r} (hwf : WellFounded r) {x y : ∀ i, β i} (hlt : x < y) : Pi.Lex r (@fun i => (· < ·)) x y := by simp_rw [Pi.Lex, le_antisymm_iff] exact lex_lt_of_lt_of_preorder hwf hlt #align pi.lex_lt_of_lt Pi.lex_lt_of_lt
Mathlib/Order/PiLex.lean
71
85
theorem isTrichotomous_lex [∀ i, IsTrichotomous (β i) s] (wf : WellFounded r) : IsTrichotomous (∀ i, β i) (Pi.Lex r @s) := { trichotomous := fun a b => by rcases eq_or_ne a b with hab | hab · exact Or.inr (Or.inl hab) · rw [Function.ne_iff] at hab let i := wf.min _ hab have hri : ∀ j, r j i → a j = b j := by
intro j rw [← not_imp_not] exact fun h' => wf.not_lt_min _ _ h' have hne : a i ≠ b i := wf.min_mem _ hab cases' trichotomous_of s (a i) (b i) with hi hi exacts [Or.inl ⟨i, hri, hi⟩, Or.inr <| Or.inr <| ⟨i, fun j hj => (hri j hj).symm, hi.resolve_left hne⟩] }
7
1,096.633158
2
1.5
2
1,644
import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Constructions.BorelSpace.Metrizable #align_import measure_theory.function.simple_func_dense from "leanprover-community/mathlib"@"7317149f12f55affbc900fc873d0d422485122b9" open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical open Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} noncomputable section namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc variable [MeasurableSpace α] [PseudoEMetricSpace α] [OpensMeasurableSpace α] noncomputable def nearestPtInd (e : ℕ → α) : ℕ → α →ₛ ℕ | 0 => const α 0 | N + 1 => piecewise (⋂ k ≤ N, { x | edist (e (N + 1)) x < edist (e k) x }) (MeasurableSet.iInter fun _ => MeasurableSet.iInter fun _ => measurableSet_lt measurable_edist_right measurable_edist_right) (const α <| N + 1) (nearestPtInd e N) #align measure_theory.simple_func.nearest_pt_ind MeasureTheory.SimpleFunc.nearestPtInd noncomputable def nearestPt (e : ℕ → α) (N : ℕ) : α →ₛ α := (nearestPtInd e N).map e #align measure_theory.simple_func.nearest_pt MeasureTheory.SimpleFunc.nearestPt @[simp] theorem nearestPtInd_zero (e : ℕ → α) : nearestPtInd e 0 = const α 0 := rfl #align measure_theory.simple_func.nearest_pt_ind_zero MeasureTheory.SimpleFunc.nearestPtInd_zero @[simp] theorem nearestPt_zero (e : ℕ → α) : nearestPt e 0 = const α (e 0) := rfl #align measure_theory.simple_func.nearest_pt_zero MeasureTheory.SimpleFunc.nearestPt_zero theorem nearestPtInd_succ (e : ℕ → α) (N : ℕ) (x : α) : nearestPtInd e (N + 1) x = if ∀ k ≤ N, edist (e (N + 1)) x < edist (e k) x then N + 1 else nearestPtInd e N x := by simp only [nearestPtInd, coe_piecewise, Set.piecewise] congr simp #align measure_theory.simple_func.nearest_pt_ind_succ MeasureTheory.SimpleFunc.nearestPtInd_succ theorem nearestPtInd_le (e : ℕ → α) (N : ℕ) (x : α) : nearestPtInd e N x ≤ N := by induction' N with N ihN; · simp simp only [nearestPtInd_succ] split_ifs exacts [le_rfl, ihN.trans N.le_succ] #align measure_theory.simple_func.nearest_pt_ind_le MeasureTheory.SimpleFunc.nearestPtInd_le theorem edist_nearestPt_le (e : ℕ → α) (x : α) {k N : ℕ} (hk : k ≤ N) : edist (nearestPt e N x) x ≤ edist (e k) x := by induction' N with N ihN generalizing k · simp [nonpos_iff_eq_zero.1 hk, le_refl] · simp only [nearestPt, nearestPtInd_succ, map_apply] split_ifs with h · rcases hk.eq_or_lt with (rfl | hk) exacts [le_rfl, (h k (Nat.lt_succ_iff.1 hk)).le] · push_neg at h rcases h with ⟨l, hlN, hxl⟩ rcases hk.eq_or_lt with (rfl | hk) exacts [(ihN hlN).trans hxl, ihN (Nat.lt_succ_iff.1 hk)] #align measure_theory.simple_func.edist_nearest_pt_le MeasureTheory.SimpleFunc.edist_nearestPt_le theorem tendsto_nearestPt {e : ℕ → α} {x : α} (hx : x ∈ closure (range e)) : Tendsto (fun N => nearestPt e N x) atTop (𝓝 x) := by refine (atTop_basis.tendsto_iff nhds_basis_eball).2 fun ε hε => ?_ rcases EMetric.mem_closure_iff.1 hx ε hε with ⟨_, ⟨N, rfl⟩, hN⟩ rw [edist_comm] at hN exact ⟨N, trivial, fun n hn => (edist_nearestPt_le e x hn).trans_lt hN⟩ #align measure_theory.simple_func.tendsto_nearest_pt MeasureTheory.SimpleFunc.tendsto_nearestPt variable [MeasurableSpace β] {f : β → α} noncomputable def approxOn (f : β → α) (hf : Measurable f) (s : Set α) (y₀ : α) (h₀ : y₀ ∈ s) [SeparableSpace s] (n : ℕ) : β →ₛ α := haveI : Nonempty s := ⟨⟨y₀, h₀⟩⟩ comp (nearestPt (fun k => Nat.casesOn k y₀ ((↑) ∘ denseSeq s) : ℕ → α) n) f hf #align measure_theory.simple_func.approx_on MeasureTheory.SimpleFunc.approxOn @[simp] theorem approxOn_zero {f : β → α} (hf : Measurable f) {s : Set α} {y₀ : α} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) : approxOn f hf s y₀ h₀ 0 x = y₀ := rfl #align measure_theory.simple_func.approx_on_zero MeasureTheory.SimpleFunc.approxOn_zero
Mathlib/MeasureTheory/Function/SimpleFuncDense.lean
140
145
theorem approxOn_mem {f : β → α} (hf : Measurable f) {s : Set α} {y₀ : α} (h₀ : y₀ ∈ s) [SeparableSpace s] (n : ℕ) (x : β) : approxOn f hf s y₀ h₀ n x ∈ s := by
haveI : Nonempty s := ⟨⟨y₀, h₀⟩⟩ suffices ∀ n, (Nat.casesOn n y₀ ((↑) ∘ denseSeq s) : α) ∈ s by apply this rintro (_ | n) exacts [h₀, Subtype.mem _]
4
54.59815
2
1.8
5
1,885
import Mathlib.Data.Int.Bitwise import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.Symmetric #align_import linear_algebra.matrix.zpow from "leanprover-community/mathlib"@"03fda9112aa6708947da13944a19310684bfdfcb" open Matrix namespace Matrix variable {n' : Type*} [DecidableEq n'] [Fintype n'] {R : Type*} [CommRing R] local notation "M" => Matrix n' n' R noncomputable instance : DivInvMonoid M := { show Monoid M by infer_instance, show Inv M by infer_instance with } section NatPow @[simp] theorem inv_pow' (A : M) (n : ℕ) : A⁻¹ ^ n = (A ^ n)⁻¹ := by induction' n with n ih · simp · rw [pow_succ A, mul_inv_rev, ← ih, ← pow_succ'] #align matrix.inv_pow' Matrix.inv_pow' theorem pow_sub' (A : M) {m n : ℕ} (ha : IsUnit A.det) (h : n ≤ m) : A ^ (m - n) = A ^ m * (A ^ n)⁻¹ := by rw [← tsub_add_cancel_of_le h, pow_add, Matrix.mul_assoc, mul_nonsing_inv, tsub_add_cancel_of_le h, Matrix.mul_one] simpa using ha.pow n #align matrix.pow_sub' Matrix.pow_sub'
Mathlib/LinearAlgebra/Matrix/ZPow.lean
57
70
theorem pow_inv_comm' (A : M) (m n : ℕ) : A⁻¹ ^ m * A ^ n = A ^ n * A⁻¹ ^ m := by
induction' n with n IH generalizing m · simp cases' m with m m · simp rcases nonsing_inv_cancel_or_zero A with (⟨h, h'⟩ | h) · calc A⁻¹ ^ (m + 1) * A ^ (n + 1) = A⁻¹ ^ m * (A⁻¹ * A) * A ^ n := by simp only [pow_succ A⁻¹, pow_succ' A, Matrix.mul_assoc] _ = A ^ n * A⁻¹ ^ m := by simp only [h, Matrix.mul_one, Matrix.one_mul, IH m] _ = A ^ n * (A * A⁻¹) * A⁻¹ ^ m := by simp only [h', Matrix.mul_one, Matrix.one_mul] _ = A ^ (n + 1) * A⁻¹ ^ (m + 1) := by simp only [pow_succ A, pow_succ' A⁻¹, Matrix.mul_assoc] · simp [h]
13
442,413.392009
2
1.25
4
1,330
import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.Algebra.Homology.ShortComplex.ModuleCat open CategoryTheory namespace ModuleCat variable {ι ι' R : Type*} [Ring R] {S : ShortComplex (ModuleCat R)} (hS : S.Exact) (hS' : S.ShortExact) {v : ι → S.X₁} open CategoryTheory Submodule Set section LinearIndependent variable (hv : LinearIndependent R v) {u : ι ⊕ ι' → S.X₂} (hw : LinearIndependent R (S.g ∘ u ∘ Sum.inr)) (hm : Mono S.f) (huv : u ∘ Sum.inl = S.f ∘ v)
Mathlib/Algebra/Category/ModuleCat/Free.lean
44
49
theorem disjoint_span_sum : Disjoint (span R (range (u ∘ Sum.inl))) (span R (range (u ∘ Sum.inr))) := by
rw [huv, disjoint_comm] refine Disjoint.mono_right (span_mono (range_comp_subset_range _ _)) ?_ rw [← LinearMap.range_coe, span_eq (LinearMap.range S.f), hS.moduleCat_range_eq_ker] exact range_ker_disjoint hw
4
54.59815
2
2
5
2,042
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex #align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section namespace Real open Set Filter open scoped Topology Real theorem tan_add {x y : ℝ} (h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div, Complex.ofReal_mul, Complex.ofReal_tan] using @Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast) #align real.tan_add Real.tan_add theorem tan_add' {x y : ℝ} (h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := tan_add (Or.inl h) #align real.tan_add' Real.tan_add' theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by have := @Complex.tan_two_mul x norm_cast at * #align real.tan_two_mul Real.tan_two_mul theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 := tan_eq_zero_iff.mpr (by use n) #align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two
Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean
56
60
theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by
suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos] rwa [h_eq] at this exact continuousOn_sin.div continuousOn_cos fun x => id
4
54.59815
2
1.5
4
1,690
import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic import Mathlib.CategoryTheory.Monoidal.Functorial import Mathlib.CategoryTheory.Monoidal.Types.Basic import Mathlib.LinearAlgebra.DirectSum.Finsupp import Mathlib.CategoryTheory.Linear.LinearFunctor #align_import algebra.category.Module.adjunctions from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4" set_option linter.uppercaseLean3 false -- `Module` noncomputable section open CategoryTheory namespace ModuleCat universe u open scoped Classical variable (R : Type u) section variable [Ring R] @[simps] def free : Type u ⥤ ModuleCat R where obj X := ModuleCat.of R (X →₀ R) map {X Y} f := Finsupp.lmapDomain _ _ f map_id := by intros; exact Finsupp.lmapDomain_id _ _ map_comp := by intros; exact Finsupp.lmapDomain_comp _ _ _ _ #align Module.free ModuleCat.free def adj : free R ⊣ forget (ModuleCat.{u} R) := Adjunction.mkOfHomEquiv { homEquiv := fun X M => (Finsupp.lift M R X).toEquiv.symm homEquiv_naturality_left_symm := fun {_ _} M f g => Finsupp.lhom_ext' fun x => LinearMap.ext_ring (Finsupp.sum_mapDomain_index_addMonoidHom fun y => (smulAddHom R M).flip (g y)).symm } #align Module.adj ModuleCat.adj instance : (forget (ModuleCat.{u} R)).IsRightAdjoint := (adj R).isRightAdjoint end namespace Free open MonoidalCategory variable [CommRing R] attribute [local ext] TensorProduct.ext def ε : 𝟙_ (ModuleCat.{u} R) ⟶ (free R).obj (𝟙_ (Type u)) := Finsupp.lsingle PUnit.unit #align Module.free.ε ModuleCat.Free.ε -- This lemma has always been bad, but lean4#2644 made `simp` start noticing @[simp, nolint simpNF] theorem ε_apply (r : R) : ε R r = Finsupp.single PUnit.unit r := rfl #align Module.free.ε_apply ModuleCat.Free.ε_apply def μ (α β : Type u) : (free R).obj α ⊗ (free R).obj β ≅ (free R).obj (α ⊗ β) := (finsuppTensorFinsupp' R α β).toModuleIso #align Module.free.μ ModuleCat.Free.μ
Mathlib/Algebra/Category/ModuleCat/Adjunctions.lean
89
109
theorem μ_natural {X Y X' Y' : Type u} (f : X ⟶ Y) (g : X' ⟶ Y') : ((free R).map f ⊗ (free R).map g) ≫ (μ R Y Y').hom = (μ R X X').hom ≫ (free R).map (f ⊗ g) := by
-- Porting note (#11041): broken ext apply TensorProduct.ext apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply Finsupp.lhom_ext' intro x' apply LinearMap.ext_ring apply Finsupp.ext intro ⟨y, y'⟩ -- Porting note (#10934): used to be dsimp [μ] change (finsuppTensorFinsupp' R Y Y') (Finsupp.mapDomain f (Finsupp.single x 1) ⊗ₜ[R] Finsupp.mapDomain g (Finsupp.single x' 1)) _ = (Finsupp.mapDomain (f ⊗ g) (finsuppTensorFinsupp' R X X' (Finsupp.single x 1 ⊗ₜ[R] Finsupp.single x' 1))) _ -- extra `rfl` after leanprover/lean4#2466 simp_rw [Finsupp.mapDomain_single, finsuppTensorFinsupp'_single_tmul_single, mul_one, Finsupp.mapDomain_single, CategoryTheory.tensor_apply]; rfl
18
65,659,969.137331
2
2
3
2,113
import Mathlib.Algebra.Homology.Homotopy import Mathlib.AlgebraicTopology.DoldKan.Notations #align_import algebraic_topology.dold_kan.homotopies from "leanprover-community/mathlib"@"b12099d3b7febf4209824444dd836ef5ad96db55" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive CategoryTheory.SimplicialObject Homotopy Opposite Simplicial DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] variable {X : SimplicialObject C} abbrev c := ComplexShape.down ℕ #align algebraic_topology.dold_kan.c AlgebraicTopology.DoldKan.c theorem c_mk (i j : ℕ) (h : j + 1 = i) : c.Rel i j := ComplexShape.down_mk i j h #align algebraic_topology.dold_kan.c_mk AlgebraicTopology.DoldKan.c_mk theorem cs_down_0_not_rel_left (j : ℕ) : ¬c.Rel 0 j := by intro hj dsimp at hj apply Nat.not_succ_le_zero j rw [Nat.succ_eq_add_one, hj] #align algebraic_topology.dold_kan.cs_down_0_not_rel_left AlgebraicTopology.DoldKan.cs_down_0_not_rel_left def hσ (q : ℕ) (n : ℕ) : X _[n] ⟶ X _[n + 1] := if n < q then 0 else (-1 : ℤ) ^ (n - q) • X.σ ⟨n - q, Nat.lt_succ_of_le (Nat.sub_le _ _)⟩ #align algebraic_topology.dold_kan.hσ AlgebraicTopology.DoldKan.hσ def hσ' (q : ℕ) : ∀ n m, c.Rel m n → (K[X].X n ⟶ K[X].X m) := fun n m hnm => hσ q n ≫ eqToHom (by congr) #align algebraic_topology.dold_kan.hσ' AlgebraicTopology.DoldKan.hσ' theorem hσ'_eq_zero {q n m : ℕ} (hnq : n < q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = 0 := by simp only [hσ', hσ] split_ifs exact zero_comp #align algebraic_topology.dold_kan.hσ'_eq_zero AlgebraicTopology.DoldKan.hσ'_eq_zero theorem hσ'_eq {q n a m : ℕ} (ha : n = a + q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = ((-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩) ≫ eqToHom (by congr) := by simp only [hσ', hσ] split_ifs · omega · have h' := tsub_eq_of_eq_add ha congr #align algebraic_topology.dold_kan.hσ'_eq AlgebraicTopology.DoldKan.hσ'_eq theorem hσ'_eq' {q n a : ℕ} (ha : n = a + q) : (hσ' q n (n + 1) rfl : X _[n] ⟶ X _[n + 1]) = (-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩ := by rw [hσ'_eq ha rfl, eqToHom_refl, comp_id] #align algebraic_topology.dold_kan.hσ'_eq' AlgebraicTopology.DoldKan.hσ'_eq' def Hσ (q : ℕ) : K[X] ⟶ K[X] := nullHomotopicMap' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Hσ AlgebraicTopology.DoldKan.hσ def homotopyHσToZero (q : ℕ) : Homotopy (Hσ q : K[X] ⟶ K[X]) 0 := nullHomotopy' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.homotopy_Hσ_to_zero AlgebraicTopology.DoldKan.homotopyHσToZero theorem Hσ_eq_zero (q : ℕ) : (Hσ q : K[X] ⟶ K[X]).f 0 = 0 := by unfold Hσ rw [nullHomotopicMap'_f_of_not_rel_left (c_mk 1 0 rfl) cs_down_0_not_rel_left] rcases q with (_|q) · rw [hσ'_eq (show 0 = 0 + 0 by rfl) (c_mk 1 0 rfl)] simp only [pow_zero, Fin.mk_zero, one_zsmul, eqToHom_refl, Category.comp_id] erw [ChainComplex.of_d] rw [AlternatingFaceMapComplex.objD, Fin.sum_univ_two, Fin.val_zero, Fin.val_one, pow_zero, pow_one, one_smul, neg_smul, one_smul, comp_add, comp_neg, add_neg_eq_zero] erw [δ_comp_σ_self, δ_comp_σ_succ] · rw [hσ'_eq_zero (Nat.succ_pos q) (c_mk 1 0 rfl), zero_comp] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Hσ_eq_zero AlgebraicTopology.DoldKan.Hσ_eq_zero
Mathlib/AlgebraicTopology/DoldKan/Homotopies.lean
156
166
theorem hσ'_naturality (q : ℕ) (n m : ℕ) (hnm : c.Rel m n) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ hσ' q n m hnm = hσ' q n m hnm ≫ f.app (op [m]) := by
have h : n + 1 = m := hnm subst h simp only [hσ', eqToHom_refl, comp_id] unfold hσ split_ifs · rw [zero_comp, comp_zero] · simp only [zsmul_comp, comp_zsmul] erw [f.naturality] rfl
9
8,103.083928
2
1.5
6
1,625
import Mathlib.Probability.Variance import Mathlib.MeasureTheory.Function.UniformIntegrable #align_import probability.ident_distrib from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open MeasureTheory Filter Finset noncomputable section open scoped Topology MeasureTheory ENNReal NNReal variable {α β γ δ : Type*} [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ] namespace ProbabilityTheory structure IdentDistrib (f : α → γ) (g : β → γ) (μ : Measure α := by volume_tac) (ν : Measure β := by volume_tac) : Prop where aemeasurable_fst : AEMeasurable f μ aemeasurable_snd : AEMeasurable g ν map_eq : Measure.map f μ = Measure.map g ν #align probability_theory.ident_distrib ProbabilityTheory.IdentDistrib section UniformIntegrable open TopologicalSpace variable {E : Type*} [MeasurableSpace E] [NormedAddCommGroup E] [BorelSpace E] {μ : Measure α} [IsFiniteMeasure μ]
Mathlib/Probability/IdentDistrib.lean
326
348
theorem Memℒp.uniformIntegrable_of_identDistrib_aux {ι : Type*} {f : ι → α → E} {j : ι} {p : ℝ≥0∞} (hp : 1 ≤ p) (hp' : p ≠ ∞) (hℒp : Memℒp (f j) p μ) (hfmeas : ∀ i, StronglyMeasurable (f i)) (hf : ∀ i, IdentDistrib (f i) (f j) μ μ) : UniformIntegrable f p μ := by
refine uniformIntegrable_of' hp hp' hfmeas fun ε hε => ?_ by_cases hι : Nonempty ι swap; · exact ⟨0, fun i => False.elim (hι <| Nonempty.intro i)⟩ obtain ⟨C, hC₁, hC₂⟩ := hℒp.snorm_indicator_norm_ge_pos_le (hfmeas _) hε refine ⟨⟨C, hC₁.le⟩, fun i => le_trans (le_of_eq ?_) hC₂⟩ have : {x | (⟨C, hC₁.le⟩ : ℝ≥0) ≤ ‖f i x‖₊} = {x | C ≤ ‖f i x‖} := by ext x simp_rw [← norm_toNNReal] exact Real.le_toNNReal_iff_coe_le (norm_nonneg _) rw [this, ← snorm_norm, ← snorm_norm (Set.indicator _ _)] simp_rw [norm_indicator_eq_indicator_norm, coe_nnnorm] let F : E → ℝ := (fun x : E => if (⟨C, hC₁.le⟩ : ℝ≥0) ≤ ‖x‖₊ then ‖x‖ else 0) have F_meas : Measurable F := by apply measurable_norm.indicator (measurableSet_le measurable_const measurable_nnnorm) have : ∀ k, (fun x ↦ Set.indicator {x | C ≤ ‖f k x‖} (fun a ↦ ‖f k a‖) x) = F ∘ f k := by intro k ext x simp only [Set.indicator, Set.mem_setOf_eq]; norm_cast rw [this, this, ← snorm_map_measure F_meas.aestronglyMeasurable (hf i).aemeasurable_fst, (hf i).map_eq, snorm_map_measure F_meas.aestronglyMeasurable (hf j).aemeasurable_fst]
20
485,165,195.40979
2
1.5
4
1,539
import Mathlib.Algebra.Homology.Homotopy import Mathlib.AlgebraicTopology.DoldKan.Notations #align_import algebraic_topology.dold_kan.homotopies from "leanprover-community/mathlib"@"b12099d3b7febf4209824444dd836ef5ad96db55" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive CategoryTheory.SimplicialObject Homotopy Opposite Simplicial DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] variable {X : SimplicialObject C} abbrev c := ComplexShape.down ℕ #align algebraic_topology.dold_kan.c AlgebraicTopology.DoldKan.c theorem c_mk (i j : ℕ) (h : j + 1 = i) : c.Rel i j := ComplexShape.down_mk i j h #align algebraic_topology.dold_kan.c_mk AlgebraicTopology.DoldKan.c_mk theorem cs_down_0_not_rel_left (j : ℕ) : ¬c.Rel 0 j := by intro hj dsimp at hj apply Nat.not_succ_le_zero j rw [Nat.succ_eq_add_one, hj] #align algebraic_topology.dold_kan.cs_down_0_not_rel_left AlgebraicTopology.DoldKan.cs_down_0_not_rel_left def hσ (q : ℕ) (n : ℕ) : X _[n] ⟶ X _[n + 1] := if n < q then 0 else (-1 : ℤ) ^ (n - q) • X.σ ⟨n - q, Nat.lt_succ_of_le (Nat.sub_le _ _)⟩ #align algebraic_topology.dold_kan.hσ AlgebraicTopology.DoldKan.hσ def hσ' (q : ℕ) : ∀ n m, c.Rel m n → (K[X].X n ⟶ K[X].X m) := fun n m hnm => hσ q n ≫ eqToHom (by congr) #align algebraic_topology.dold_kan.hσ' AlgebraicTopology.DoldKan.hσ' theorem hσ'_eq_zero {q n m : ℕ} (hnq : n < q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = 0 := by simp only [hσ', hσ] split_ifs exact zero_comp #align algebraic_topology.dold_kan.hσ'_eq_zero AlgebraicTopology.DoldKan.hσ'_eq_zero theorem hσ'_eq {q n a m : ℕ} (ha : n = a + q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = ((-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩) ≫ eqToHom (by congr) := by simp only [hσ', hσ] split_ifs · omega · have h' := tsub_eq_of_eq_add ha congr #align algebraic_topology.dold_kan.hσ'_eq AlgebraicTopology.DoldKan.hσ'_eq theorem hσ'_eq' {q n a : ℕ} (ha : n = a + q) : (hσ' q n (n + 1) rfl : X _[n] ⟶ X _[n + 1]) = (-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩ := by rw [hσ'_eq ha rfl, eqToHom_refl, comp_id] #align algebraic_topology.dold_kan.hσ'_eq' AlgebraicTopology.DoldKan.hσ'_eq' def Hσ (q : ℕ) : K[X] ⟶ K[X] := nullHomotopicMap' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Hσ AlgebraicTopology.DoldKan.hσ def homotopyHσToZero (q : ℕ) : Homotopy (Hσ q : K[X] ⟶ K[X]) 0 := nullHomotopy' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.homotopy_Hσ_to_zero AlgebraicTopology.DoldKan.homotopyHσToZero
Mathlib/AlgebraicTopology/DoldKan/Homotopies.lean
141
151
theorem Hσ_eq_zero (q : ℕ) : (Hσ q : K[X] ⟶ K[X]).f 0 = 0 := by
unfold Hσ rw [nullHomotopicMap'_f_of_not_rel_left (c_mk 1 0 rfl) cs_down_0_not_rel_left] rcases q with (_|q) · rw [hσ'_eq (show 0 = 0 + 0 by rfl) (c_mk 1 0 rfl)] simp only [pow_zero, Fin.mk_zero, one_zsmul, eqToHom_refl, Category.comp_id] erw [ChainComplex.of_d] rw [AlternatingFaceMapComplex.objD, Fin.sum_univ_two, Fin.val_zero, Fin.val_one, pow_zero, pow_one, one_smul, neg_smul, one_smul, comp_add, comp_neg, add_neg_eq_zero] erw [δ_comp_σ_self, δ_comp_σ_succ] · rw [hσ'_eq_zero (Nat.succ_pos q) (c_mk 1 0 rfl), zero_comp]
10
22,026.465795
2
1.5
6
1,625
import Mathlib.Algebra.Polynomial.Inductions import Mathlib.Algebra.Polynomial.Monic import Mathlib.RingTheory.Multiplicity import Mathlib.RingTheory.Ideal.Maps #align_import data.polynomial.div from "leanprover-community/mathlib"@"e1e7190efdcefc925cb36f257a8362ef22944204" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {a b : R} {n : ℕ} section Ring variable [Ring R] {p q : R[X]} theorem div_wf_lemma (h : degree q ≤ degree p ∧ p ≠ 0) (hq : Monic q) : degree (p - q * (C (leadingCoeff p) * X ^ (natDegree p - natDegree q))) < degree p := have hp : leadingCoeff p ≠ 0 := mt leadingCoeff_eq_zero.1 h.2 have hq0 : q ≠ 0 := hq.ne_zero_of_polynomial_ne h.2 have hlt : natDegree q ≤ natDegree p := Nat.cast_le.1 (by rw [← degree_eq_natDegree h.2, ← degree_eq_natDegree hq0]; exact h.1) degree_sub_lt (by rw [hq.degree_mul_comm, hq.degree_mul, degree_C_mul_X_pow _ hp, degree_eq_natDegree h.2, degree_eq_natDegree hq0, ← Nat.cast_add, tsub_add_cancel_of_le hlt]) h.2 (by rw [leadingCoeff_monic_mul hq, leadingCoeff_mul_X_pow, leadingCoeff_C]) #align polynomial.div_wf_lemma Polynomial.div_wf_lemma noncomputable def divModByMonicAux : ∀ (_p : R[X]) {q : R[X]}, Monic q → R[X] × R[X] | p, q, hq => letI := Classical.decEq R if h : degree q ≤ degree p ∧ p ≠ 0 then let z := C (leadingCoeff p) * X ^ (natDegree p - natDegree q) have _wf := div_wf_lemma h hq let dm := divModByMonicAux (p - q * z) hq ⟨z + dm.1, dm.2⟩ else ⟨0, p⟩ termination_by p => p #align polynomial.div_mod_by_monic_aux Polynomial.divModByMonicAux def divByMonic (p q : R[X]) : R[X] := letI := Classical.decEq R if hq : Monic q then (divModByMonicAux p hq).1 else 0 #align polynomial.div_by_monic Polynomial.divByMonic def modByMonic (p q : R[X]) : R[X] := letI := Classical.decEq R if hq : Monic q then (divModByMonicAux p hq).2 else p #align polynomial.mod_by_monic Polynomial.modByMonic @[inherit_doc] infixl:70 " /ₘ " => divByMonic @[inherit_doc] infixl:70 " %ₘ " => modByMonic theorem degree_modByMonic_lt [Nontrivial R] : ∀ (p : R[X]) {q : R[X]} (_hq : Monic q), degree (p %ₘ q) < degree q | p, q, hq => letI := Classical.decEq R if h : degree q ≤ degree p ∧ p ≠ 0 then by have _wf := div_wf_lemma ⟨h.1, h.2⟩ hq have := degree_modByMonic_lt (p - q * (C (leadingCoeff p) * X ^ (natDegree p - natDegree q))) hq unfold modByMonic at this ⊢ unfold divModByMonicAux dsimp rw [dif_pos hq] at this ⊢ rw [if_pos h] exact this else Or.casesOn (not_and_or.1 h) (by unfold modByMonic divModByMonicAux dsimp rw [dif_pos hq, if_neg h] exact lt_of_not_ge) (by intro hp unfold modByMonic divModByMonicAux dsimp rw [dif_pos hq, if_neg h, Classical.not_not.1 hp] exact lt_of_le_of_ne bot_le (Ne.symm (mt degree_eq_bot.1 hq.ne_zero))) termination_by p => p #align polynomial.degree_mod_by_monic_lt Polynomial.degree_modByMonic_lt theorem natDegree_modByMonic_lt (p : R[X]) {q : R[X]} (hmq : Monic q) (hq : q ≠ 1) : natDegree (p %ₘ q) < q.natDegree := by by_cases hpq : p %ₘ q = 0 · rw [hpq, natDegree_zero, Nat.pos_iff_ne_zero] contrapose! hq exact eq_one_of_monic_natDegree_zero hmq hq · haveI := Nontrivial.of_polynomial_ne hpq exact natDegree_lt_natDegree hpq (degree_modByMonic_lt p hmq) @[simp]
Mathlib/Algebra/Polynomial/Div.lean
176
182
theorem zero_modByMonic (p : R[X]) : 0 %ₘ p = 0 := by
classical unfold modByMonic divModByMonicAux dsimp by_cases hp : Monic p · rw [dif_pos hp, if_neg (mt And.right (not_not_intro rfl))] · rw [dif_neg hp]
6
403.428793
2
2
4
2,144
import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.Dimension.Constructions open Cardinal Submodule Set FiniteDimensional universe u v section Module variable {K : Type u} {V : Type v} [Ring K] [StrongRankCondition K] [AddCommGroup V] [Module K V] noncomputable def Basis.ofRankEqZero [Module.Free K V] {ι : Type*} [IsEmpty ι] (hV : Module.rank K V = 0) : Basis ι K V := haveI : Subsingleton V := by obtain ⟨_, b⟩ := Module.Free.exists_basis (R := K) (M := V) haveI := mk_eq_zero_iff.1 (hV ▸ b.mk_eq_rank'') exact b.repr.toEquiv.subsingleton Basis.empty _ #align basis.of_rank_eq_zero Basis.ofRankEqZero @[simp] theorem Basis.ofRankEqZero_apply [Module.Free K V] {ι : Type*} [IsEmpty ι] (hV : Module.rank K V = 0) (i : ι) : Basis.ofRankEqZero hV i = 0 := rfl #align basis.of_rank_eq_zero_apply Basis.ofRankEqZero_apply theorem le_rank_iff_exists_linearIndependent [Module.Free K V] {c : Cardinal} : c ≤ Module.rank K V ↔ ∃ s : Set V, #s = c ∧ LinearIndependent K ((↑) : s → V) := by haveI := nontrivial_of_invariantBasisNumber K constructor · intro h obtain ⟨κ, t'⟩ := Module.Free.exists_basis (R := K) (M := V) let t := t'.reindexRange have : LinearIndependent K ((↑) : Set.range t' → V) := by convert t.linearIndependent ext; exact (Basis.reindexRange_apply _ _).symm rw [← t.mk_eq_rank'', le_mk_iff_exists_subset] at h rcases h with ⟨s, hst, hsc⟩ exact ⟨s, hsc, this.mono hst⟩ · rintro ⟨s, rfl, si⟩ exact si.cardinal_le_rank #align le_rank_iff_exists_linear_independent le_rank_iff_exists_linearIndependent
Mathlib/LinearAlgebra/Dimension/FreeAndStrongRankCondition.lean
63
71
theorem le_rank_iff_exists_linearIndependent_finset [Module.Free K V] {n : ℕ} : ↑n ≤ Module.rank K V ↔ ∃ s : Finset V, s.card = n ∧ LinearIndependent K ((↑) : ↥(s : Set V) → V) := by
simp only [le_rank_iff_exists_linearIndependent, mk_set_eq_nat_iff_finset] constructor · rintro ⟨s, ⟨t, rfl, rfl⟩, si⟩ exact ⟨t, rfl, si⟩ · rintro ⟨s, rfl, si⟩ exact ⟨s, ⟨s, rfl, rfl⟩, si⟩
6
403.428793
2
1.636364
11
1,751
import Batteries.Data.Char import Batteries.Data.List.Lemmas import Batteries.Data.String.Basic import Batteries.Tactic.Lint.Misc import Batteries.Tactic.SeqFocus namespace String attribute [ext] ext theorem lt_trans {s₁ s₂ s₃ : String} : s₁ < s₂ → s₂ < s₃ → s₁ < s₃ := List.lt_trans' (α := Char) Nat.lt_trans (fun h1 h2 => Nat.not_lt.2 <| Nat.le_trans (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) theorem lt_antisymm {s₁ s₂ : String} (h₁ : ¬s₁ < s₂) (h₂ : ¬s₂ < s₁) : s₁ = s₂ := ext <| List.lt_antisymm' (α := Char) (fun h1 h2 => Char.le_antisymm (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) h₁ h₂ instance : Batteries.TransOrd String := .compareOfLessAndEq String.lt_irrefl String.lt_trans String.lt_antisymm instance : Batteries.LTOrd String := .compareOfLessAndEq String.lt_irrefl String.lt_trans String.lt_antisymm instance : Batteries.BEqOrd String := .compareOfLessAndEq String.lt_irrefl @[simp] theorem mk_length (s : List Char) : (String.mk s).length = s.length := rfl attribute [simp] toList -- prefer `String.data` over `String.toList` in lemmas private theorem add_csize_pos : 0 < i + csize c := Nat.add_pos_right _ (csize_pos c) private theorem ne_add_csize_add_self : i ≠ n + csize c + i := Nat.ne_of_lt (Nat.lt_add_of_pos_left add_csize_pos) private theorem ne_self_add_add_csize : i ≠ i + (n + csize c) := Nat.ne_of_lt (Nat.lt_add_of_pos_right add_csize_pos) @[inline] def utf8Len : List Char → Nat := utf8ByteSize.go @[simp] theorem utf8ByteSize.go_eq : utf8ByteSize.go = utf8Len := rfl @[simp] theorem utf8ByteSize_mk (cs) : utf8ByteSize ⟨cs⟩ = utf8Len cs := rfl @[simp] theorem utf8Len_nil : utf8Len [] = 0 := rfl @[simp] theorem utf8Len_cons (c cs) : utf8Len (c :: cs) = utf8Len cs + csize c := rfl @[simp] theorem utf8Len_append (cs₁ cs₂) : utf8Len (cs₁ ++ cs₂) = utf8Len cs₁ + utf8Len cs₂ := by induction cs₁ <;> simp [*, Nat.add_right_comm] @[simp] theorem utf8Len_reverseAux (cs₁ cs₂) : utf8Len (cs₁.reverseAux cs₂) = utf8Len cs₁ + utf8Len cs₂ := by induction cs₁ generalizing cs₂ <;> simp [*, ← Nat.add_assoc, Nat.add_right_comm] @[simp] theorem utf8Len_reverse (cs) : utf8Len cs.reverse = utf8Len cs := utf8Len_reverseAux .. @[simp] theorem utf8Len_eq_zero : utf8Len l = 0 ↔ l = [] := by cases l <;> simp [Nat.ne_of_gt add_csize_pos] section open List theorem utf8Len_le_of_sublist : ∀ {cs₁ cs₂}, cs₁ <+ cs₂ → utf8Len cs₁ ≤ utf8Len cs₂ | _, _, .slnil => Nat.le_refl _ | _, _, .cons _ h => Nat.le_trans (utf8Len_le_of_sublist h) (Nat.le_add_right ..) | _, _, .cons₂ _ h => Nat.add_le_add_right (utf8Len_le_of_sublist h) _ theorem utf8Len_le_of_infix (h : cs₁ <:+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist theorem utf8Len_le_of_suffix (h : cs₁ <:+ cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist theorem utf8Len_le_of_prefix (h : cs₁ <+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist end @[simp] theorem endPos_eq (cs : List Char) : endPos ⟨cs⟩ = ⟨utf8Len cs⟩ := rfl theorem endPos_eq_zero : ∀ (s : String), endPos s = 0 ↔ s = "" | ⟨_⟩ => Pos.ext_iff.trans <| utf8Len_eq_zero.trans ext_iff.symm theorem isEmpty_iff (s : String) : isEmpty s ↔ s = "" := (beq_iff_eq ..).trans (endPos_eq_zero _) def utf8InductionOn {motive : List Char → Pos → Sort u} (s : List Char) (i p : Pos) (nil : ∀ i, motive [] i) (eq : ∀ c cs, motive (c :: cs) p) (ind : ∀ (c : Char) cs i, i ≠ p → motive cs (i + c) → motive (c :: cs) i) : motive s i := match s with | [] => nil i | c::cs => if h : i = p then h ▸ eq c cs else ind c cs i h (utf8InductionOn cs (i + c) p nil eq ind) theorem utf8GetAux_add_right_cancel (s : List Char) (i p n : Nat) : utf8GetAux s ⟨i + n⟩ ⟨p + n⟩ = utf8GetAux s ⟨i⟩ ⟨p⟩ := by apply utf8InductionOn s ⟨i⟩ ⟨p⟩ (motive := fun s i => utf8GetAux s ⟨i.byteIdx + n⟩ ⟨p + n⟩ = utf8GetAux s i ⟨p⟩) <;> simp [utf8GetAux] intro c cs ⟨i⟩ h ih simp [Pos.ext_iff, Pos.addChar_eq] at h ⊢ simp [Nat.add_right_cancel_iff, h] rw [Nat.add_right_comm] exact ih theorem utf8GetAux_addChar_right_cancel (s : List Char) (i p : Pos) (c : Char) : utf8GetAux s (i + c) (p + c) = utf8GetAux s i p := utf8GetAux_add_right_cancel ..
.lake/packages/batteries/Batteries/Data/String/Lemmas.lean
148
157
theorem utf8GetAux_of_valid (cs cs' : List Char) {i p : Nat} (hp : i + utf8Len cs = p) : utf8GetAux (cs ++ cs') ⟨i⟩ ⟨p⟩ = cs'.headD default := by
match cs, cs' with | [], [] => rfl | [], c::cs' => simp [← hp, utf8GetAux] | c::cs, cs' => simp [utf8GetAux, -List.headD_eq_head?]; rw [if_neg] case hnc => simp [← hp, Pos.ext_iff]; exact ne_self_add_add_csize refine utf8GetAux_of_valid cs cs' ?_ simpa [Nat.add_assoc, Nat.add_comm] using hp
8
2,980.957987
2
2
2
2,274
import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Algebra.Order.BigOperators.Group.List import Mathlib.Data.Set.Pointwise.SMul import Mathlib.Order.WellFoundedSet #align_import group_theory.submonoid.pointwise from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e" open Set Pointwise variable {α : Type*} {G : Type*} {M : Type*} {R : Type*} {A : Type*} variable [Monoid M] [AddMonoid A] namespace Submonoid variable {s t u : Set M} @[to_additive] theorem mul_subset {S : Submonoid M} (hs : s ⊆ S) (ht : t ⊆ S) : s * t ⊆ S := mul_subset_iff.2 fun _x hx _y hy ↦ mul_mem (hs hx) (ht hy) #align submonoid.mul_subset Submonoid.mul_subset #align add_submonoid.add_subset AddSubmonoid.add_subset @[to_additive] theorem mul_subset_closure (hs : s ⊆ u) (ht : t ⊆ u) : s * t ⊆ Submonoid.closure u := mul_subset (Subset.trans hs Submonoid.subset_closure) (Subset.trans ht Submonoid.subset_closure) #align submonoid.mul_subset_closure Submonoid.mul_subset_closure #align add_submonoid.add_subset_closure AddSubmonoid.add_subset_closure @[to_additive]
Mathlib/Algebra/Group/Submonoid/Pointwise.lean
72
76
theorem coe_mul_self_eq (s : Submonoid M) : (s : Set M) * s = s := by
ext x refine ⟨?_, fun h => ⟨x, h, 1, s.one_mem, mul_one x⟩⟩ rintro ⟨a, ha, b, hb, rfl⟩ exact s.mul_mem ha hb
4
54.59815
2
1.666667
3
1,782