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import Mathlib.Data.Matrix.Basis import Mathlib.Data.Matrix.DMatrix import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.Tactic.FieldSimp #align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6" universe u₁ u₂ namespace Matrix open Matrix variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜] variable [DecidableEq n] [DecidableEq p] variable [CommRing R] section Transvection variable {R n} (i j : n) def transvection (c : R) : Matrix n n R := 1 + Matrix.stdBasisMatrix i j c #align matrix.transvection Matrix.transvection @[simp] theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection] #align matrix.transvection_zero Matrix.transvection_zero section theorem updateRow_eq_transvection [Finite n] (c : R) : updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) = transvection i j c := by cases nonempty_fintype n ext a b by_cases ha : i = a · by_cases hb : j = b · simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same, one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply] · simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply, Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul, mul_zero, add_apply] · simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero, Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply, mul_zero, false_and_iff, add_apply] #align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection variable [Fintype n] theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) : transvection i j c * transvection i j d = transvection i j (c + d) := by simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc, stdBasisMatrix_add] #align matrix.transvection_mul_transvection_same Matrix.transvection_mul_transvection_same @[simp] theorem transvection_mul_apply_same (b : n) (c : R) (M : Matrix n n R) : (transvection i j c * M) i b = M i b + c * M j b := by simp [transvection, Matrix.add_mul] #align matrix.transvection_mul_apply_same Matrix.transvection_mul_apply_same @[simp] theorem mul_transvection_apply_same (a : n) (c : R) (M : Matrix n n R) : (M * transvection i j c) a j = M a j + c * M a i := by simp [transvection, Matrix.mul_add, mul_comm] #align matrix.mul_transvection_apply_same Matrix.mul_transvection_apply_same @[simp] theorem transvection_mul_apply_of_ne (a b : n) (ha : a ≠ i) (c : R) (M : Matrix n n R) : (transvection i j c * M) a b = M a b := by simp [transvection, Matrix.add_mul, ha] #align matrix.transvection_mul_apply_of_ne Matrix.transvection_mul_apply_of_ne @[simp] theorem mul_transvection_apply_of_ne (a b : n) (hb : b ≠ j) (c : R) (M : Matrix n n R) : (M * transvection i j c) a b = M a b := by simp [transvection, Matrix.mul_add, hb] #align matrix.mul_transvection_apply_of_ne Matrix.mul_transvection_apply_of_ne @[simp] theorem det_transvection_of_ne (h : i ≠ j) (c : R) : det (transvection i j c) = 1 := by rw [← updateRow_eq_transvection i j, det_updateRow_add_smul_self _ h, det_one] #align matrix.det_transvection_of_ne Matrix.det_transvection_of_ne end variable (R n) -- porting note (#5171): removed @[nolint has_nonempty_instance] structure TransvectionStruct where (i j : n) hij : i ≠ j c : R #align matrix.transvection_struct Matrix.TransvectionStruct instance [Nontrivial n] : Nonempty (TransvectionStruct n R) := by choose x y hxy using exists_pair_ne n exact ⟨⟨x, y, hxy, 0⟩⟩ namespace TransvectionStruct variable {R n} def toMatrix (t : TransvectionStruct n R) : Matrix n n R := transvection t.i t.j t.c #align matrix.transvection_struct.to_matrix Matrix.TransvectionStruct.toMatrix @[simp] theorem toMatrix_mk (i j : n) (hij : i ≠ j) (c : R) : TransvectionStruct.toMatrix ⟨i, j, hij, c⟩ = transvection i j c := rfl #align matrix.transvection_struct.to_matrix_mk Matrix.TransvectionStruct.toMatrix_mk @[simp] protected theorem det [Fintype n] (t : TransvectionStruct n R) : det t.toMatrix = 1 := det_transvection_of_ne _ _ t.hij _ #align matrix.transvection_struct.det Matrix.TransvectionStruct.det @[simp]
Mathlib/LinearAlgebra/Matrix/Transvection.lean
184
188
theorem det_toMatrix_prod [Fintype n] (L : List (TransvectionStruct n 𝕜)) : det (L.map toMatrix).prod = 1 := by induction' L with t L IH
induction' L with t L IH · simp · simp [IH]
true
import Mathlib.Algebra.CharP.Defs import Mathlib.RingTheory.Multiplicity import Mathlib.RingTheory.PowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Polynomial open Finset (antidiagonal mem_antidiagonal) namespace PowerSeries open Finsupp (single) variable {R : Type*} section OrderBasic open multiplicity variable [Semiring R] {φ : R⟦X⟧} theorem exists_coeff_ne_zero_iff_ne_zero : (∃ n : ℕ, coeff R n φ ≠ 0) ↔ φ ≠ 0 := by refine not_iff_not.mp ?_ push_neg -- FIXME: the `FunLike.coe` doesn't seem to be picked up in the expression after #8386? simp [PowerSeries.ext_iff, (coeff R _).map_zero] #align power_series.exists_coeff_ne_zero_iff_ne_zero PowerSeries.exists_coeff_ne_zero_iff_ne_zero def order (φ : R⟦X⟧) : PartENat := letI := Classical.decEq R letI := Classical.decEq R⟦X⟧ if h : φ = 0 then ⊤ else Nat.find (exists_coeff_ne_zero_iff_ne_zero.mpr h) #align power_series.order PowerSeries.order @[simp] theorem order_zero : order (0 : R⟦X⟧) = ⊤ := dif_pos rfl #align power_series.order_zero PowerSeries.order_zero theorem order_finite_iff_ne_zero : (order φ).Dom ↔ φ ≠ 0 := by simp only [order] constructor · split_ifs with h <;> intro H · simp only [PartENat.top_eq_none, Part.not_none_dom] at H · exact h · intro h simp [h] #align power_series.order_finite_iff_ne_zero PowerSeries.order_finite_iff_ne_zero theorem coeff_order (h : (order φ).Dom) : coeff R (φ.order.get h) φ ≠ 0 := by classical simp only [order, order_finite_iff_ne_zero.mp h, not_false_iff, dif_neg, PartENat.get_natCast'] generalize_proofs h exact Nat.find_spec h #align power_series.coeff_order PowerSeries.coeff_order theorem order_le (n : ℕ) (h : coeff R n φ ≠ 0) : order φ ≤ n := by classical rw [order, dif_neg] · simp only [PartENat.coe_le_coe] exact Nat.find_le h · exact exists_coeff_ne_zero_iff_ne_zero.mp ⟨n, h⟩ #align power_series.order_le PowerSeries.order_le theorem coeff_of_lt_order (n : ℕ) (h : ↑n < order φ) : coeff R n φ = 0 := by contrapose! h exact order_le _ h #align power_series.coeff_of_lt_order PowerSeries.coeff_of_lt_order @[simp] theorem order_eq_top {φ : R⟦X⟧} : φ.order = ⊤ ↔ φ = 0 := PartENat.not_dom_iff_eq_top.symm.trans order_finite_iff_ne_zero.not_left #align power_series.order_eq_top PowerSeries.order_eq_top theorem nat_le_order (φ : R⟦X⟧) (n : ℕ) (h : ∀ i < n, coeff R i φ = 0) : ↑n ≤ order φ := by by_contra H; rw [not_le] at H have : (order φ).Dom := PartENat.dom_of_le_natCast H.le rw [← PartENat.natCast_get this, PartENat.coe_lt_coe] at H exact coeff_order this (h _ H) #align power_series.nat_le_order PowerSeries.nat_le_order theorem le_order (φ : R⟦X⟧) (n : PartENat) (h : ∀ i : ℕ, ↑i < n → coeff R i φ = 0) : n ≤ order φ := by induction n using PartENat.casesOn · show _ ≤ _ rw [top_le_iff, order_eq_top] ext i exact h _ (PartENat.natCast_lt_top i) · apply nat_le_order simpa only [PartENat.coe_lt_coe] using h #align power_series.le_order PowerSeries.le_order theorem order_eq_nat {φ : R⟦X⟧} {n : ℕ} : order φ = n ↔ coeff R n φ ≠ 0 ∧ ∀ i, i < n → coeff R i φ = 0 := by classical rcases eq_or_ne φ 0 with (rfl | hφ) · simpa [(coeff R _).map_zero] using (PartENat.natCast_ne_top _).symm simp [order, dif_neg hφ, Nat.find_eq_iff] #align power_series.order_eq_nat PowerSeries.order_eq_nat theorem order_eq {φ : R⟦X⟧} {n : PartENat} : order φ = n ↔ (∀ i : ℕ, ↑i = n → coeff R i φ ≠ 0) ∧ ∀ i : ℕ, ↑i < n → coeff R i φ = 0 := by induction n using PartENat.casesOn · rw [order_eq_top] constructor · rintro rfl constructor <;> intros · exfalso exact PartENat.natCast_ne_top ‹_› ‹_› · exact (coeff _ _).map_zero · rintro ⟨_h₁, h₂⟩ ext i exact h₂ i (PartENat.natCast_lt_top i) · simpa [PartENat.natCast_inj] using order_eq_nat #align power_series.order_eq PowerSeries.order_eq
Mathlib/RingTheory/PowerSeries/Order.lean
162
164
theorem le_order_add (φ ψ : R⟦X⟧) : min (order φ) (order ψ) ≤ order (φ + ψ) := by refine le_order _ _ ?_
refine le_order _ _ ?_ simp (config := { contextual := true }) [coeff_of_lt_order]
true
import Mathlib.Algebra.Order.Group.Abs import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax #align_import algebra.order.group.min_max from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" section variable {α : Type*} [Group α] [LinearOrder α] [CovariantClass α α (· * ·) (· ≤ ·)] -- TODO: This duplicates `oneLePart_div_leOnePart` @[to_additive (attr := simp)]
Mathlib/Algebra/Order/Group/MinMax.lean
22
23
theorem max_one_div_max_inv_one_eq_self (a : α) : max a 1 / max a⁻¹ 1 = a := by
rcases le_total a 1 with (h | h) <;> simp [h]
true
import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.RingTheory.Coprime.Basic import Mathlib.Tactic.AdaptationNote #align_import ring_theory.polynomial.scale_roots from "leanprover-community/mathlib"@"40ac1b258344e0c2b4568dc37bfad937ec35a727" variable {R S A K : Type*} namespace Polynomial open Polynomial section Semiring variable [Semiring R] [Semiring S] noncomputable def scaleRoots (p : R[X]) (s : R) : R[X] := ∑ i ∈ p.support, monomial i (p.coeff i * s ^ (p.natDegree - i)) #align polynomial.scale_roots Polynomial.scaleRoots @[simp]
Mathlib/RingTheory/Polynomial/ScaleRoots.lean
37
39
theorem coeff_scaleRoots (p : R[X]) (s : R) (i : ℕ) : (scaleRoots p s).coeff i = coeff p i * s ^ (p.natDegree - i) := by
simp (config := { contextual := true }) [scaleRoots, coeff_monomial]
true
import Mathlib.Algebra.Lie.Nilpotent import Mathlib.Algebra.Lie.Normalizer #align_import algebra.lie.cartan_subalgebra from "leanprover-community/mathlib"@"938fead7abdc0cbbca8eba7a1052865a169dc102" universe u v w w₁ w₂ variable {R : Type u} {L : Type v} variable [CommRing R] [LieRing L] [LieAlgebra R L] (H : LieSubalgebra R L) def LieSubmodule.IsUcsLimit {M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] (N : LieSubmodule R L M) : Prop := ∃ k, ∀ l, k ≤ l → (⊥ : LieSubmodule R L M).ucs l = N #align lie_submodule.is_ucs_limit LieSubmodule.IsUcsLimit namespace LieSubalgebra class IsCartanSubalgebra : Prop where nilpotent : LieAlgebra.IsNilpotent R H self_normalizing : H.normalizer = H #align lie_subalgebra.is_cartan_subalgebra LieSubalgebra.IsCartanSubalgebra instance [H.IsCartanSubalgebra] : LieAlgebra.IsNilpotent R H := IsCartanSubalgebra.nilpotent @[simp]
Mathlib/Algebra/Lie/CartanSubalgebra.lean
58
61
theorem normalizer_eq_self_of_isCartanSubalgebra (H : LieSubalgebra R L) [H.IsCartanSubalgebra] : H.toLieSubmodule.normalizer = H.toLieSubmodule := by rw [← LieSubmodule.coe_toSubmodule_eq_iff, coe_normalizer_eq_normalizer,
rw [← LieSubmodule.coe_toSubmodule_eq_iff, coe_normalizer_eq_normalizer, IsCartanSubalgebra.self_normalizing, coe_toLieSubmodule]
true
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.Div #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section NoZeroDivisors variable [Semiring R] [NoZeroDivisors R] {p q : R[X]} instance : NoZeroDivisors R[X] where eq_zero_or_eq_zero_of_mul_eq_zero h := by rw [← leadingCoeff_eq_zero, ← leadingCoeff_eq_zero] refine eq_zero_or_eq_zero_of_mul_eq_zero ?_ rw [← leadingCoeff_zero, ← leadingCoeff_mul, h] theorem natDegree_mul (hp : p ≠ 0) (hq : q ≠ 0) : (p*q).natDegree = p.natDegree + q.natDegree := by rw [← Nat.cast_inj (R := WithBot ℕ), ← degree_eq_natDegree (mul_ne_zero hp hq), Nat.cast_add, ← degree_eq_natDegree hp, ← degree_eq_natDegree hq, degree_mul] #align polynomial.nat_degree_mul Polynomial.natDegree_mul theorem trailingDegree_mul : (p * q).trailingDegree = p.trailingDegree + q.trailingDegree := by by_cases hp : p = 0 · rw [hp, zero_mul, trailingDegree_zero, top_add] by_cases hq : q = 0 · rw [hq, mul_zero, trailingDegree_zero, add_top] · rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq, trailingDegree_eq_natTrailingDegree (mul_ne_zero hp hq), natTrailingDegree_mul hp hq] apply WithTop.coe_add #align polynomial.trailing_degree_mul Polynomial.trailingDegree_mul @[simp] theorem natDegree_pow (p : R[X]) (n : ℕ) : natDegree (p ^ n) = n * natDegree p := by classical obtain rfl | hp := eq_or_ne p 0 · obtain rfl | hn := eq_or_ne n 0 <;> simp [*] exact natDegree_pow' $ by rw [← leadingCoeff_pow, Ne, leadingCoeff_eq_zero]; exact pow_ne_zero _ hp #align polynomial.nat_degree_pow Polynomial.natDegree_pow theorem degree_le_mul_left (p : R[X]) (hq : q ≠ 0) : degree p ≤ degree (p * q) := by classical exact if hp : p = 0 then by simp only [hp, zero_mul, le_refl] else by rw [degree_mul, degree_eq_natDegree hp, degree_eq_natDegree hq]; exact WithBot.coe_le_coe.2 (Nat.le_add_right _ _) #align polynomial.degree_le_mul_left Polynomial.degree_le_mul_left theorem natDegree_le_of_dvd {p q : R[X]} (h1 : p ∣ q) (h2 : q ≠ 0) : p.natDegree ≤ q.natDegree := by rcases h1 with ⟨q, rfl⟩; rw [mul_ne_zero_iff] at h2 rw [natDegree_mul h2.1 h2.2]; exact Nat.le_add_right _ _ #align polynomial.nat_degree_le_of_dvd Polynomial.natDegree_le_of_dvd theorem degree_le_of_dvd {p q : R[X]} (h1 : p ∣ q) (h2 : q ≠ 0) : degree p ≤ degree q := by rcases h1 with ⟨q, rfl⟩; rw [mul_ne_zero_iff] at h2 exact degree_le_mul_left p h2.2 #align polynomial.degree_le_of_dvd Polynomial.degree_le_of_dvd theorem eq_zero_of_dvd_of_degree_lt {p q : R[X]} (h₁ : p ∣ q) (h₂ : degree q < degree p) : q = 0 := by by_contra hc exact (lt_iff_not_ge _ _).mp h₂ (degree_le_of_dvd h₁ hc) #align polynomial.eq_zero_of_dvd_of_degree_lt Polynomial.eq_zero_of_dvd_of_degree_lt theorem eq_zero_of_dvd_of_natDegree_lt {p q : R[X]} (h₁ : p ∣ q) (h₂ : natDegree q < natDegree p) : q = 0 := by by_contra hc exact (lt_iff_not_ge _ _).mp h₂ (natDegree_le_of_dvd h₁ hc) #align polynomial.eq_zero_of_dvd_of_nat_degree_lt Polynomial.eq_zero_of_dvd_of_natDegree_lt
Mathlib/Algebra/Polynomial/RingDivision.lean
178
180
theorem not_dvd_of_degree_lt {p q : R[X]} (h0 : q ≠ 0) (hl : q.degree < p.degree) : ¬p ∣ q := by by_contra hcontra
by_contra hcontra exact h0 (eq_zero_of_dvd_of_degree_lt hcontra hl)
true
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section Mul variable {𝕜' 𝔸 : Type*} [NormedField 𝕜'] [NormedRing 𝔸] [NormedAlgebra 𝕜 𝕜'] [NormedAlgebra 𝕜 𝔸] {c d : 𝕜 → 𝔸} {c' d' : 𝔸} {u v : 𝕜 → 𝕜'} theorem HasDerivWithinAt.mul (hc : HasDerivWithinAt c c' s x) (hd : HasDerivWithinAt d d' s x) : HasDerivWithinAt (fun y => c y * d y) (c' * d x + c x * d') s x := by have := (HasFDerivWithinAt.mul' hc hd).hasDerivWithinAt rwa [ContinuousLinearMap.add_apply, ContinuousLinearMap.smul_apply, ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply, one_smul, one_smul, add_comm] at this #align has_deriv_within_at.mul HasDerivWithinAt.mul
Mathlib/Analysis/Calculus/Deriv/Mul.lean
215
218
theorem HasDerivAt.mul (hc : HasDerivAt c c' x) (hd : HasDerivAt d d' x) : HasDerivAt (fun y => c y * d y) (c' * d x + c x * d') x := by rw [← hasDerivWithinAt_univ] at *
rw [← hasDerivWithinAt_univ] at * exact hc.mul hd
true
import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Nat.Factors import Mathlib.Order.Interval.Finset.Nat #align_import number_theory.divisors from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open scoped Classical open Finset namespace Nat variable (n : ℕ) def divisors : Finset ℕ := Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 (n + 1)) #align nat.divisors Nat.divisors def properDivisors : Finset ℕ := Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 n) #align nat.proper_divisors Nat.properDivisors def divisorsAntidiagonal : Finset (ℕ × ℕ) := Finset.filter (fun x => x.fst * x.snd = n) (Ico 1 (n + 1) ×ˢ Ico 1 (n + 1)) #align nat.divisors_antidiagonal Nat.divisorsAntidiagonal variable {n} @[simp] theorem filter_dvd_eq_divisors (h : n ≠ 0) : (Finset.range n.succ).filter (· ∣ n) = n.divisors := by ext simp only [divisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self] exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt) #align nat.filter_dvd_eq_divisors Nat.filter_dvd_eq_divisors @[simp] theorem filter_dvd_eq_properDivisors (h : n ≠ 0) : (Finset.range n).filter (· ∣ n) = n.properDivisors := by ext simp only [properDivisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self] exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt) #align nat.filter_dvd_eq_proper_divisors Nat.filter_dvd_eq_properDivisors theorem properDivisors.not_self_mem : ¬n ∈ properDivisors n := by simp [properDivisors] #align nat.proper_divisors.not_self_mem Nat.properDivisors.not_self_mem @[simp] theorem mem_properDivisors {m : ℕ} : n ∈ properDivisors m ↔ n ∣ m ∧ n < m := by rcases eq_or_ne m 0 with (rfl | hm); · simp [properDivisors] simp only [and_comm, ← filter_dvd_eq_properDivisors hm, mem_filter, mem_range] #align nat.mem_proper_divisors Nat.mem_properDivisors theorem insert_self_properDivisors (h : n ≠ 0) : insert n (properDivisors n) = divisors n := by rw [divisors, properDivisors, Ico_succ_right_eq_insert_Ico (one_le_iff_ne_zero.2 h), Finset.filter_insert, if_pos (dvd_refl n)] #align nat.insert_self_proper_divisors Nat.insert_self_properDivisors theorem cons_self_properDivisors (h : n ≠ 0) : cons n (properDivisors n) properDivisors.not_self_mem = divisors n := by rw [cons_eq_insert, insert_self_properDivisors h] #align nat.cons_self_proper_divisors Nat.cons_self_properDivisors @[simp] theorem mem_divisors {m : ℕ} : n ∈ divisors m ↔ n ∣ m ∧ m ≠ 0 := by rcases eq_or_ne m 0 with (rfl | hm); · simp [divisors] simp only [hm, Ne, not_false_iff, and_true_iff, ← filter_dvd_eq_divisors hm, mem_filter, mem_range, and_iff_right_iff_imp, Nat.lt_succ_iff] exact le_of_dvd hm.bot_lt #align nat.mem_divisors Nat.mem_divisors theorem one_mem_divisors : 1 ∈ divisors n ↔ n ≠ 0 := by simp #align nat.one_mem_divisors Nat.one_mem_divisors theorem mem_divisors_self (n : ℕ) (h : n ≠ 0) : n ∈ n.divisors := mem_divisors.2 ⟨dvd_rfl, h⟩ #align nat.mem_divisors_self Nat.mem_divisors_self theorem dvd_of_mem_divisors {m : ℕ} (h : n ∈ divisors m) : n ∣ m := by cases m · apply dvd_zero · simp [mem_divisors.1 h] #align nat.dvd_of_mem_divisors Nat.dvd_of_mem_divisors @[simp] theorem mem_divisorsAntidiagonal {x : ℕ × ℕ} : x ∈ divisorsAntidiagonal n ↔ x.fst * x.snd = n ∧ n ≠ 0 := by simp only [divisorsAntidiagonal, Finset.mem_Ico, Ne, Finset.mem_filter, Finset.mem_product] rw [and_comm] apply and_congr_right rintro rfl constructor <;> intro h · contrapose! h simp [h] · rw [Nat.lt_add_one_iff, Nat.lt_add_one_iff] rw [mul_eq_zero, not_or] at h simp only [succ_le_of_lt (Nat.pos_of_ne_zero h.1), succ_le_of_lt (Nat.pos_of_ne_zero h.2), true_and_iff] exact ⟨Nat.le_mul_of_pos_right _ (Nat.pos_of_ne_zero h.2), Nat.le_mul_of_pos_left _ (Nat.pos_of_ne_zero h.1)⟩ #align nat.mem_divisors_antidiagonal Nat.mem_divisorsAntidiagonal lemma ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.1 ≠ 0 ∧ p.2 ≠ 0 := by obtain ⟨hp₁, hp₂⟩ := Nat.mem_divisorsAntidiagonal.mp hp exact mul_ne_zero_iff.mp (hp₁.symm ▸ hp₂) lemma left_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.1 ≠ 0 := (ne_zero_of_mem_divisorsAntidiagonal hp).1 lemma right_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.2 ≠ 0 := (ne_zero_of_mem_divisorsAntidiagonal hp).2
Mathlib/NumberTheory/Divisors.lean
147
151
theorem divisor_le {m : ℕ} : n ∈ divisors m → n ≤ m := by cases' m with m
cases' m with m · simp · simp only [mem_divisors, Nat.succ_ne_zero m, and_true_iff, Ne, not_false_iff] exact Nat.le_of_dvd (Nat.succ_pos m)
true
import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.SpecialFunctions.Gamma.Basic open Real Set MeasureTheory MeasureTheory.Measure section real theorem integral_rpow_mul_exp_neg_rpow {p q : ℝ} (hp : 0 < p) (hq : - 1 < q) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- x ^ p) = (1 / p) * Gamma ((q + 1) / p) := by calc _ = ∫ (x : ℝ) in Ioi 0, (1 / p * x ^ (1 / p - 1)) • ((x ^ (1 / p)) ^ q * exp (-x)) := by rw [← integral_comp_rpow_Ioi _ (one_div_ne_zero (ne_of_gt hp)), abs_eq_self.mpr (le_of_lt (one_div_pos.mpr hp))] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx) _ p, one_div_mul_cancel (ne_of_gt hp), rpow_one] _ = ∫ (x : ℝ) in Ioi 0, 1 / p * exp (-x) * x ^ (1 / p - 1 + q / p) := by simp_rw [smul_eq_mul, mul_assoc] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx), div_mul_eq_mul_div, one_mul, rpow_add hx] ring_nf _ = (1 / p) * Gamma ((q + 1) / p) := by rw [Gamma_eq_integral (div_pos (neg_lt_iff_pos_add.mp hq) hp)] simp_rw [show 1 / p - 1 + q / p = (q + 1) / p - 1 by field_simp; ring, ← integral_mul_left, ← mul_assoc]
Mathlib/MeasureTheory/Integral/Gamma.lean
39
57
theorem integral_rpow_mul_exp_neg_mul_rpow {p q b : ℝ} (hp : 0 < p) (hq : - 1 < q) (hb : 0 < b) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- b * x ^ p) = b ^ (-(q + 1) / p) * (1 / p) * Gamma ((q + 1) / p) := by calc
calc _ = ∫ x in Ioi (0:ℝ), b ^ (-p⁻¹ * q) * ((b ^ p⁻¹ * x) ^ q * rexp (-(b ^ p⁻¹ * x) ^ p)) := by refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [mul_rpow _ (le_of_lt hx), mul_rpow _ (le_of_lt hx), ← rpow_mul, ← rpow_mul, inv_mul_cancel, rpow_one, mul_assoc, ← mul_assoc, ← rpow_add, neg_mul p⁻¹, add_left_neg, rpow_zero, one_mul, neg_mul] all_goals positivity _ = (b ^ p⁻¹)⁻¹ * ∫ x in Ioi (0:ℝ), b ^ (-p⁻¹ * q) * (x ^ q * rexp (-x ^ p)) := by rw [integral_comp_mul_left_Ioi (fun x => b ^ (-p⁻¹ * q) * (x ^ q * exp (- x ^ p))) 0, mul_zero, smul_eq_mul] all_goals positivity _ = b ^ (-(q + 1) / p) * (1 / p) * Gamma ((q + 1) / p) := by rw [integral_mul_left, integral_rpow_mul_exp_neg_rpow _ hq, mul_assoc, ← mul_assoc, ← rpow_neg_one, ← rpow_mul, ← rpow_add] · congr; ring all_goals positivity
true
import Mathlib.Data.List.Sublists import Mathlib.Data.Multiset.Bind #align_import data.multiset.powerset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Multiset open List variable {α : Type*} -- Porting note (#11215): TODO: Write a more efficient version def powersetAux (l : List α) : List (Multiset α) := (sublists l).map (↑) #align multiset.powerset_aux Multiset.powersetAux theorem powersetAux_eq_map_coe {l : List α} : powersetAux l = (sublists l).map (↑) := rfl #align multiset.powerset_aux_eq_map_coe Multiset.powersetAux_eq_map_coe @[simp] theorem mem_powersetAux {l : List α} {s} : s ∈ powersetAux l ↔ s ≤ ↑l := Quotient.inductionOn s <| by simp [powersetAux_eq_map_coe, Subperm, and_comm] #align multiset.mem_powerset_aux Multiset.mem_powersetAux def powersetAux' (l : List α) : List (Multiset α) := (sublists' l).map (↑) #align multiset.powerset_aux' Multiset.powersetAux' theorem powersetAux_perm_powersetAux' {l : List α} : powersetAux l ~ powersetAux' l := by rw [powersetAux_eq_map_coe]; exact (sublists_perm_sublists' _).map _ #align multiset.powerset_aux_perm_powerset_aux' Multiset.powersetAux_perm_powersetAux' @[simp] theorem powersetAux'_nil : powersetAux' (@nil α) = [0] := rfl #align multiset.powerset_aux'_nil Multiset.powersetAux'_nil @[simp] theorem powersetAux'_cons (a : α) (l : List α) : powersetAux' (a :: l) = powersetAux' l ++ List.map (cons a) (powersetAux' l) := by simp only [powersetAux', sublists'_cons, map_append, List.map_map, append_cancel_left_eq]; rfl #align multiset.powerset_aux'_cons Multiset.powersetAux'_cons theorem powerset_aux'_perm {l₁ l₂ : List α} (p : l₁ ~ l₂) : powersetAux' l₁ ~ powersetAux' l₂ := by induction' p with a l₁ l₂ p IH a b l l₁ l₂ l₃ _ _ IH₁ IH₂ · simp · simp only [powersetAux'_cons] exact IH.append (IH.map _) · simp only [powersetAux'_cons, map_append, List.map_map, append_assoc] apply Perm.append_left rw [← append_assoc, ← append_assoc, (by funext s; simp [cons_swap] : cons b ∘ cons a = cons a ∘ cons b)] exact perm_append_comm.append_right _ · exact IH₁.trans IH₂ #align multiset.powerset_aux'_perm Multiset.powerset_aux'_perm theorem powersetAux_perm {l₁ l₂ : List α} (p : l₁ ~ l₂) : powersetAux l₁ ~ powersetAux l₂ := powersetAux_perm_powersetAux'.trans <| (powerset_aux'_perm p).trans powersetAux_perm_powersetAux'.symm #align multiset.powerset_aux_perm Multiset.powersetAux_perm --Porting note (#11083): slightly slower implementation due to `map ofList` def powerset (s : Multiset α) : Multiset (Multiset α) := Quot.liftOn s (fun l => (powersetAux l : Multiset (Multiset α))) (fun _ _ h => Quot.sound (powersetAux_perm h)) #align multiset.powerset Multiset.powerset theorem powerset_coe (l : List α) : @powerset α l = ((sublists l).map (↑) : List (Multiset α)) := congr_arg ((↑) : List (Multiset α) → Multiset (Multiset α)) powersetAux_eq_map_coe #align multiset.powerset_coe Multiset.powerset_coe @[simp] theorem powerset_coe' (l : List α) : @powerset α l = ((sublists' l).map (↑) : List (Multiset α)) := Quot.sound powersetAux_perm_powersetAux' #align multiset.powerset_coe' Multiset.powerset_coe' @[simp] theorem powerset_zero : @powerset α 0 = {0} := rfl #align multiset.powerset_zero Multiset.powerset_zero @[simp] theorem powerset_cons (a : α) (s) : powerset (a ::ₘ s) = powerset s + map (cons a) (powerset s) := Quotient.inductionOn s fun l => by simp only [quot_mk_to_coe, cons_coe, powerset_coe', sublists'_cons, map_append, List.map_map, map_coe, coe_add, coe_eq_coe]; rfl #align multiset.powerset_cons Multiset.powerset_cons @[simp] theorem mem_powerset {s t : Multiset α} : s ∈ powerset t ↔ s ≤ t := Quotient.inductionOn₂ s t <| by simp [Subperm, and_comm] #align multiset.mem_powerset Multiset.mem_powerset theorem map_single_le_powerset (s : Multiset α) : s.map singleton ≤ powerset s := Quotient.inductionOn s fun l => by simp only [powerset_coe, quot_mk_to_coe, coe_le, map_coe] show l.map (((↑) : List α → Multiset α) ∘ pure) <+~ (sublists l).map (↑) rw [← List.map_map] exact ((map_pure_sublist_sublists _).map _).subperm #align multiset.map_single_le_powerset Multiset.map_single_le_powerset @[simp] theorem card_powerset (s : Multiset α) : card (powerset s) = 2 ^ card s := Quotient.inductionOn s <| by simp #align multiset.card_powerset Multiset.card_powerset theorem revzip_powersetAux {l : List α} ⦃x⦄ (h : x ∈ revzip (powersetAux l)) : x.1 + x.2 = ↑l := by rw [revzip, powersetAux_eq_map_coe, ← map_reverse, zip_map, ← revzip, List.mem_map] at h simp only [Prod.map_apply, Prod.exists] at h rcases h with ⟨l₁, l₂, h, rfl, rfl⟩ exact Quot.sound (revzip_sublists _ _ _ h) #align multiset.revzip_powerset_aux Multiset.revzip_powersetAux
Mathlib/Data/Multiset/Powerset.lean
132
137
theorem revzip_powersetAux' {l : List α} ⦃x⦄ (h : x ∈ revzip (powersetAux' l)) : x.1 + x.2 = ↑l := by rw [revzip, powersetAux', ← map_reverse, zip_map, ← revzip, List.mem_map] at h
rw [revzip, powersetAux', ← map_reverse, zip_map, ← revzip, List.mem_map] at h simp only [Prod.map_apply, Prod.exists] at h rcases h with ⟨l₁, l₂, h, rfl, rfl⟩ exact Quot.sound (revzip_sublists' _ _ _ h)
true
import Mathlib.AlgebraicGeometry.Restrict import Mathlib.CategoryTheory.Adjunction.Limits import Mathlib.CategoryTheory.Adjunction.Reflective #align_import algebraic_geometry.Gamma_Spec_adjunction from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 set_option linter.uppercaseLean3 false noncomputable section universe u open PrimeSpectrum namespace AlgebraicGeometry open Opposite open CategoryTheory open StructureSheaf open Spec (structureSheaf) open TopologicalSpace open AlgebraicGeometry.LocallyRingedSpace open TopCat.Presheaf open TopCat.Presheaf.SheafCondition namespace LocallyRingedSpace variable (X : LocallyRingedSpace.{u}) def ΓToStalk (x : X) : Γ.obj (op X) ⟶ X.presheaf.stalk x := X.presheaf.germ (⟨x, trivial⟩ : (⊤ : Opens X)) #align algebraic_geometry.LocallyRingedSpace.Γ_to_stalk AlgebraicGeometry.LocallyRingedSpace.ΓToStalk def toΓSpecFun : X → PrimeSpectrum (Γ.obj (op X)) := fun x => comap (X.ΓToStalk x) (LocalRing.closedPoint (X.presheaf.stalk x)) #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_fun AlgebraicGeometry.LocallyRingedSpace.toΓSpecFun theorem not_mem_prime_iff_unit_in_stalk (r : Γ.obj (op X)) (x : X) : r ∉ (X.toΓSpecFun x).asIdeal ↔ IsUnit (X.ΓToStalk x r) := by erw [LocalRing.mem_maximalIdeal, Classical.not_not] #align algebraic_geometry.LocallyRingedSpace.not_mem_prime_iff_unit_in_stalk AlgebraicGeometry.LocallyRingedSpace.not_mem_prime_iff_unit_in_stalk
Mathlib/AlgebraicGeometry/GammaSpecAdjunction.lean
84
87
theorem toΓSpec_preim_basicOpen_eq (r : Γ.obj (op X)) : X.toΓSpecFun ⁻¹' (basicOpen r).1 = (X.toRingedSpace.basicOpen r).1 := by ext
ext erw [X.toRingedSpace.mem_top_basicOpen]; apply not_mem_prime_iff_unit_in_stalk
true
import Mathlib.Combinatorics.Quiver.Cast import Mathlib.Combinatorics.Quiver.Symmetric #align_import combinatorics.quiver.single_obj from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" namespace Quiver -- Porting note: Removed `deriving Unique`. @[nolint unusedArguments] def SingleObj (_ : Type*) : Type := Unit #align quiver.single_obj Quiver.SingleObj -- Porting note: `deriving` from above has been moved to below. instance {α : Type*} : Unique (SingleObj α) where default := ⟨⟩ uniq := fun _ => rfl namespace SingleObj variable (α β γ : Type*) instance : Quiver (SingleObj α) := ⟨fun _ _ => α⟩ def star : SingleObj α := Unit.unit #align quiver.single_obj.star Quiver.SingleObj.star instance : Inhabited (SingleObj α) := ⟨star α⟩ variable {α β γ} lemma ext {x y : SingleObj α} : x = y := Unit.ext x y -- See note [reducible non-instances] abbrev hasReverse (rev : α → α) : HasReverse (SingleObj α) := ⟨rev⟩ #align quiver.single_obj.has_reverse Quiver.SingleObj.hasReverse -- See note [reducible non-instances] abbrev hasInvolutiveReverse (rev : α → α) (h : Function.Involutive rev) : HasInvolutiveReverse (SingleObj α) where toHasReverse := hasReverse rev inv' := h #align quiver.single_obj.has_involutive_reverse Quiver.SingleObj.hasInvolutiveReverse @[simps!] def toHom : α ≃ (star α ⟶ star α) := Equiv.refl _ #align quiver.single_obj.to_hom Quiver.SingleObj.toHom #align quiver.single_obj.to_hom_apply Quiver.SingleObj.toHom_apply #align quiver.single_obj.to_hom_symm_apply Quiver.SingleObj.toHom_symm_apply @[simps] def toPrefunctor : (α → β) ≃ SingleObj α ⥤q SingleObj β where toFun f := ⟨id, f⟩ invFun f a := f.map (toHom a) left_inv _ := rfl right_inv _ := rfl #align quiver.single_obj.to_prefunctor_symm_apply Quiver.SingleObj.toPrefunctor_symm_apply #align quiver.single_obj.to_prefunctor_apply_map Quiver.SingleObj.toPrefunctor_apply_map #align quiver.single_obj.to_prefunctor_apply_obj Quiver.SingleObj.toPrefunctor_apply_obj #align quiver.single_obj.to_prefunctor Quiver.SingleObj.toPrefunctor theorem toPrefunctor_id : toPrefunctor id = 𝟭q (SingleObj α) := rfl #align quiver.single_obj.to_prefunctor_id Quiver.SingleObj.toPrefunctor_id @[simp] theorem toPrefunctor_symm_id : toPrefunctor.symm (𝟭q (SingleObj α)) = id := rfl #align quiver.single_obj.to_prefunctor_symm_id Quiver.SingleObj.toPrefunctor_symm_id theorem toPrefunctor_comp (f : α → β) (g : β → γ) : toPrefunctor (g ∘ f) = toPrefunctor f ⋙q toPrefunctor g := rfl #align quiver.single_obj.to_prefunctor_comp Quiver.SingleObj.toPrefunctor_comp @[simp] theorem toPrefunctor_symm_comp (f : SingleObj α ⥤q SingleObj β) (g : SingleObj β ⥤q SingleObj γ) : toPrefunctor.symm (f ⋙q g) = toPrefunctor.symm g ∘ toPrefunctor.symm f := by simp only [Equiv.symm_apply_eq, toPrefunctor_comp, Equiv.apply_symm_apply] #align quiver.single_obj.to_prefunctor_symm_comp Quiver.SingleObj.toPrefunctor_symm_comp def pathToList : ∀ {x : SingleObj α}, Path (star α) x → List α | _, Path.nil => [] | _, Path.cons p a => a :: pathToList p #align quiver.single_obj.path_to_list Quiver.SingleObj.pathToList @[simp] def listToPath : List α → Path (star α) (star α) | [] => Path.nil | a :: l => (listToPath l).cons a #align quiver.single_obj.list_to_path Quiver.SingleObj.listToPath
Mathlib/Combinatorics/Quiver/SingleObj.lean
132
136
theorem listToPath_pathToList {x : SingleObj α} (p : Path (star α) x) : listToPath (pathToList p) = p.cast rfl ext := by induction' p with y z p a ih
induction' p with y z p a ih · rfl · dsimp at *; rw [ih]
true
import Mathlib.Data.Matrix.Kronecker import Mathlib.LinearAlgebra.Matrix.ToLin import Mathlib.LinearAlgebra.TensorProduct.Basis #align_import linear_algebra.tensor_product.matrix from "leanprover-community/mathlib"@"f784cc6142443d9ee623a20788c282112c322081" variable {R : Type*} {M N P M' N' : Type*} {ι κ τ ι' κ' : Type*} variable [DecidableEq ι] [DecidableEq κ] [DecidableEq τ] variable [Fintype ι] [Fintype κ] [Fintype τ] [Finite ι'] [Finite κ'] variable [CommRing R] variable [AddCommGroup M] [AddCommGroup N] [AddCommGroup P] variable [AddCommGroup M'] [AddCommGroup N'] variable [Module R M] [Module R N] [Module R P] [Module R M'] [Module R N'] variable (bM : Basis ι R M) (bN : Basis κ R N) (bP : Basis τ R P) variable (bM' : Basis ι' R M') (bN' : Basis κ' R N') open Kronecker open Matrix LinearMap theorem TensorProduct.toMatrix_map (f : M →ₗ[R] M') (g : N →ₗ[R] N') : toMatrix (bM.tensorProduct bN) (bM'.tensorProduct bN') (TensorProduct.map f g) = toMatrix bM bM' f ⊗ₖ toMatrix bN bN' g := by ext ⟨i, j⟩ ⟨i', j'⟩ simp_rw [Matrix.kroneckerMap_apply, toMatrix_apply, Basis.tensorProduct_apply, TensorProduct.map_tmul, Basis.tensorProduct_repr_tmul_apply] #align tensor_product.to_matrix_map TensorProduct.toMatrix_map theorem Matrix.toLin_kronecker (A : Matrix ι' ι R) (B : Matrix κ' κ R) : toLin (bM.tensorProduct bN) (bM'.tensorProduct bN') (A ⊗ₖ B) = TensorProduct.map (toLin bM bM' A) (toLin bN bN' B) := by rw [← LinearEquiv.eq_symm_apply, toLin_symm, TensorProduct.toMatrix_map, toMatrix_toLin, toMatrix_toLin] #align matrix.to_lin_kronecker Matrix.toLin_kronecker theorem TensorProduct.toMatrix_comm : toMatrix (bM.tensorProduct bN) (bN.tensorProduct bM) (TensorProduct.comm R M N) = (1 : Matrix (ι × κ) (ι × κ) R).submatrix Prod.swap _root_.id := by ext ⟨i, j⟩ ⟨i', j'⟩ simp_rw [toMatrix_apply, Basis.tensorProduct_apply, LinearEquiv.coe_coe, TensorProduct.comm_tmul, Basis.tensorProduct_repr_tmul_apply, Matrix.submatrix_apply, Prod.swap_prod_mk, _root_.id, Basis.repr_self_apply, Matrix.one_apply, Prod.ext_iff, ite_and, @eq_comm _ i', @eq_comm _ j'] split_ifs <;> simp #align tensor_product.to_matrix_comm TensorProduct.toMatrix_comm
Mathlib/LinearAlgebra/TensorProduct/Matrix.lean
68
77
theorem TensorProduct.toMatrix_assoc : toMatrix ((bM.tensorProduct bN).tensorProduct bP) (bM.tensorProduct (bN.tensorProduct bP)) (TensorProduct.assoc R M N P) = (1 : Matrix (ι × κ × τ) (ι × κ × τ) R).submatrix _root_.id (Equiv.prodAssoc _ _ _) := by ext ⟨i, j, k⟩ ⟨⟨i', j'⟩, k'⟩
ext ⟨i, j, k⟩ ⟨⟨i', j'⟩, k'⟩ simp_rw [toMatrix_apply, Basis.tensorProduct_apply, LinearEquiv.coe_coe, TensorProduct.assoc_tmul, Basis.tensorProduct_repr_tmul_apply, Matrix.submatrix_apply, Equiv.prodAssoc_apply, _root_.id, Basis.repr_self_apply, Matrix.one_apply, Prod.ext_iff, ite_and, @eq_comm _ i', @eq_comm _ j', @eq_comm _ k'] split_ifs <;> simp
true
import Mathlib.Algebra.Polynomial.Mirror import Mathlib.Analysis.Complex.Polynomial #align_import data.polynomial.unit_trinomial from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836" namespace Polynomial open scoped Polynomial open Finset section Semiring variable {R : Type*} [Semiring R] (k m n : ℕ) (u v w : R) noncomputable def trinomial := C u * X ^ k + C v * X ^ m + C w * X ^ n #align polynomial.trinomial Polynomial.trinomial theorem trinomial_def : trinomial k m n u v w = C u * X ^ k + C v * X ^ m + C w * X ^ n := rfl #align polynomial.trinomial_def Polynomial.trinomial_def variable {k m n u v w} theorem trinomial_leading_coeff' (hkm : k < m) (hmn : m < n) : (trinomial k m n u v w).coeff n = w := by rw [trinomial_def, coeff_add, coeff_add, coeff_C_mul_X_pow, coeff_C_mul_X_pow, coeff_C_mul_X_pow, if_neg (hkm.trans hmn).ne', if_neg hmn.ne', if_pos rfl, zero_add, zero_add] #align polynomial.trinomial_leading_coeff' Polynomial.trinomial_leading_coeff'
Mathlib/Algebra/Polynomial/UnitTrinomial.lean
55
58
theorem trinomial_middle_coeff (hkm : k < m) (hmn : m < n) : (trinomial k m n u v w).coeff m = v := by rw [trinomial_def, coeff_add, coeff_add, coeff_C_mul_X_pow, coeff_C_mul_X_pow, coeff_C_mul_X_pow,
rw [trinomial_def, coeff_add, coeff_add, coeff_C_mul_X_pow, coeff_C_mul_X_pow, coeff_C_mul_X_pow, if_neg hkm.ne', if_pos rfl, if_neg hmn.ne, zero_add, add_zero]
true
import Batteries.Data.Sum.Basic import Batteries.Logic open Function namespace Sum @[simp] protected theorem «forall» {p : α ⊕ β → Prop} : (∀ x, p x) ↔ (∀ a, p (inl a)) ∧ ∀ b, p (inr b) := ⟨fun h => ⟨fun _ => h _, fun _ => h _⟩, fun ⟨h₁, h₂⟩ => Sum.rec h₁ h₂⟩ @[simp] protected theorem «exists» {p : α ⊕ β → Prop} : (∃ x, p x) ↔ (∃ a, p (inl a)) ∨ ∃ b, p (inr b) := ⟨ fun | ⟨inl a, h⟩ => Or.inl ⟨a, h⟩ | ⟨inr b, h⟩ => Or.inr ⟨b, h⟩, fun | Or.inl ⟨a, h⟩ => ⟨inl a, h⟩ | Or.inr ⟨b, h⟩ => ⟨inr b, h⟩⟩ theorem forall_sum {γ : α ⊕ β → Sort _} (p : (∀ ab, γ ab) → Prop) : (∀ fab, p fab) ↔ (∀ fa fb, p (Sum.rec fa fb)) := by refine ⟨fun h fa fb => h _, fun h fab => ?_⟩ have h1 : fab = Sum.rec (fun a => fab (Sum.inl a)) (fun b => fab (Sum.inr b)) := by ext ab; cases ab <;> rfl rw [h1]; exact h _ _ theorem inl.inj_iff : (inl a : α ⊕ β) = inl b ↔ a = b := ⟨inl.inj, congrArg _⟩ theorem inr.inj_iff : (inr a : α ⊕ β) = inr b ↔ a = b := ⟨inr.inj, congrArg _⟩ theorem inl_ne_inr : inl a ≠ inr b := nofun theorem inr_ne_inl : inr b ≠ inl a := nofun @[simp] theorem elim_comp_inl (f : α → γ) (g : β → γ) : Sum.elim f g ∘ inl = f := rfl @[simp] theorem elim_comp_inr (f : α → γ) (g : β → γ) : Sum.elim f g ∘ inr = g := rfl @[simp] theorem elim_inl_inr : @Sum.elim α β _ inl inr = id := funext fun x => Sum.casesOn x (fun _ => rfl) fun _ => rfl theorem comp_elim (f : γ → δ) (g : α → γ) (h : β → γ) : f ∘ Sum.elim g h = Sum.elim (f ∘ g) (f ∘ h) := funext fun x => Sum.casesOn x (fun _ => rfl) fun _ => rfl @[simp] theorem elim_comp_inl_inr (f : α ⊕ β → γ) : Sum.elim (f ∘ inl) (f ∘ inr) = f := funext fun x => Sum.casesOn x (fun _ => rfl) fun _ => rfl theorem elim_eq_iff {u u' : α → γ} {v v' : β → γ} : Sum.elim u v = Sum.elim u' v' ↔ u = u' ∧ v = v' := by simp [funext_iff] @[simp] theorem map_map (f' : α' → α'') (g' : β' → β'') (f : α → α') (g : β → β') : ∀ x : Sum α β, (x.map f g).map f' g' = x.map (f' ∘ f) (g' ∘ g) | inl _ => rfl | inr _ => rfl @[simp] theorem map_comp_map (f' : α' → α'') (g' : β' → β'') (f : α → α') (g : β → β') : Sum.map f' g' ∘ Sum.map f g = Sum.map (f' ∘ f) (g' ∘ g) := funext <| map_map f' g' f g @[simp] theorem map_id_id : Sum.map (@id α) (@id β) = id := funext fun x => Sum.recOn x (fun _ => rfl) fun _ => rfl
.lake/packages/batteries/Batteries/Data/Sum/Lemmas.lean
134
136
theorem elim_map {f₁ : α → β} {f₂ : β → ε} {g₁ : γ → δ} {g₂ : δ → ε} {x} : Sum.elim f₂ g₂ (Sum.map f₁ g₁ x) = Sum.elim (f₂ ∘ f₁) (g₂ ∘ g₁) x := by
cases x <;> rfl
true
import Mathlib.Analysis.Seminorm import Mathlib.Topology.Algebra.Equicontinuity import Mathlib.Topology.MetricSpace.Equicontinuity import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Topology.Algebra.Module.LocallyConvex #align_import analysis.locally_convex.with_seminorms from "leanprover-community/mathlib"@"b31173ee05c911d61ad6a05bd2196835c932e0ec" open NormedField Set Seminorm TopologicalSpace Filter List open NNReal Pointwise Topology Uniformity variable {𝕜 𝕜₂ 𝕝 𝕝₂ E F G ι ι' : Type*} section FilterBasis variable [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E] variable (𝕜 E ι) abbrev SeminormFamily := ι → Seminorm 𝕜 E #align seminorm_family SeminormFamily variable {𝕜 E ι} namespace SeminormFamily def basisSets (p : SeminormFamily 𝕜 E ι) : Set (Set E) := ⋃ (s : Finset ι) (r) (_ : 0 < r), singleton (ball (s.sup p) (0 : E) r) #align seminorm_family.basis_sets SeminormFamily.basisSets variable (p : SeminormFamily 𝕜 E ι) theorem basisSets_iff {U : Set E} : U ∈ p.basisSets ↔ ∃ (i : Finset ι) (r : ℝ), 0 < r ∧ U = ball (i.sup p) 0 r := by simp only [basisSets, mem_iUnion, exists_prop, mem_singleton_iff] #align seminorm_family.basis_sets_iff SeminormFamily.basisSets_iff theorem basisSets_mem (i : Finset ι) {r : ℝ} (hr : 0 < r) : (i.sup p).ball 0 r ∈ p.basisSets := (basisSets_iff _).mpr ⟨i, _, hr, rfl⟩ #align seminorm_family.basis_sets_mem SeminormFamily.basisSets_mem theorem basisSets_singleton_mem (i : ι) {r : ℝ} (hr : 0 < r) : (p i).ball 0 r ∈ p.basisSets := (basisSets_iff _).mpr ⟨{i}, _, hr, by rw [Finset.sup_singleton]⟩ #align seminorm_family.basis_sets_singleton_mem SeminormFamily.basisSets_singleton_mem theorem basisSets_nonempty [Nonempty ι] : p.basisSets.Nonempty := by let i := Classical.arbitrary ι refine nonempty_def.mpr ⟨(p i).ball 0 1, ?_⟩ exact p.basisSets_singleton_mem i zero_lt_one #align seminorm_family.basis_sets_nonempty SeminormFamily.basisSets_nonempty theorem basisSets_intersect (U V : Set E) (hU : U ∈ p.basisSets) (hV : V ∈ p.basisSets) : ∃ z ∈ p.basisSets, z ⊆ U ∩ V := by classical rcases p.basisSets_iff.mp hU with ⟨s, r₁, hr₁, hU⟩ rcases p.basisSets_iff.mp hV with ⟨t, r₂, hr₂, hV⟩ use ((s ∪ t).sup p).ball 0 (min r₁ r₂) refine ⟨p.basisSets_mem (s ∪ t) (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ?_⟩ rw [hU, hV, ball_finset_sup_eq_iInter _ _ _ (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ball_finset_sup_eq_iInter _ _ _ hr₁, ball_finset_sup_eq_iInter _ _ _ hr₂] exact Set.subset_inter (Set.iInter₂_mono' fun i hi => ⟨i, Finset.subset_union_left hi, ball_mono <| min_le_left _ _⟩) (Set.iInter₂_mono' fun i hi => ⟨i, Finset.subset_union_right hi, ball_mono <| min_le_right _ _⟩) #align seminorm_family.basis_sets_intersect SeminormFamily.basisSets_intersect
Mathlib/Analysis/LocallyConvex/WithSeminorms.lean
115
118
theorem basisSets_zero (U) (hU : U ∈ p.basisSets) : (0 : E) ∈ U := by rcases p.basisSets_iff.mp hU with ⟨ι', r, hr, hU⟩
rcases p.basisSets_iff.mp hU with ⟨ι', r, hr, hU⟩ rw [hU, mem_ball_zero, map_zero] exact hr
true
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 _
Mathlib/Data/Nat/Fib/Basic.lean
156
161
theorem fib_coprime_fib_succ (n : ℕ) : Nat.Coprime (fib n) (fib (n + 1)) := by induction' n with n ih
induction' n with n ih · simp · rw [fib_add_two] simp only [coprime_add_self_right] simp [Coprime, ih.symm]
true
import Mathlib.Data.Finset.Sort import Mathlib.Data.List.FinRange import Mathlib.Data.Prod.Lex import Mathlib.GroupTheory.Perm.Basic import Mathlib.Order.Interval.Finset.Fin #align_import data.fin.tuple.sort from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" namespace Tuple variable {n : ℕ} variable {α : Type*} [LinearOrder α] def graph (f : Fin n → α) : Finset (α ×ₗ Fin n) := Finset.univ.image fun i => (f i, i) #align tuple.graph Tuple.graph def graph.proj {f : Fin n → α} : graph f → α := fun p => p.1.1 #align tuple.graph.proj Tuple.graph.proj @[simp] theorem graph.card (f : Fin n → α) : (graph f).card = n := by rw [graph, Finset.card_image_of_injective] · exact Finset.card_fin _ · intro _ _ -- porting note (#10745): was `simp` dsimp only rw [Prod.ext_iff] simp #align tuple.graph.card Tuple.graph.card def graphEquiv₁ (f : Fin n → α) : Fin n ≃ graph f where toFun i := ⟨(f i, i), by simp [graph]⟩ invFun p := p.1.2 left_inv i := by simp right_inv := fun ⟨⟨x, i⟩, h⟩ => by -- Porting note: was `simpa [graph] using h` simp only [graph, Finset.mem_image, Finset.mem_univ, true_and] at h obtain ⟨i', hi'⟩ := h obtain ⟨-, rfl⟩ := Prod.mk.inj_iff.mp hi' simpa #align tuple.graph_equiv₁ Tuple.graphEquiv₁ @[simp] theorem proj_equiv₁' (f : Fin n → α) : graph.proj ∘ graphEquiv₁ f = f := rfl #align tuple.proj_equiv₁' Tuple.proj_equiv₁' def graphEquiv₂ (f : Fin n → α) : Fin n ≃o graph f := Finset.orderIsoOfFin _ (by simp) #align tuple.graph_equiv₂ Tuple.graphEquiv₂ def sort (f : Fin n → α) : Equiv.Perm (Fin n) := (graphEquiv₂ f).toEquiv.trans (graphEquiv₁ f).symm #align tuple.sort Tuple.sort theorem graphEquiv₂_apply (f : Fin n → α) (i : Fin n) : graphEquiv₂ f i = graphEquiv₁ f (sort f i) := ((graphEquiv₁ f).apply_symm_apply _).symm #align tuple.graph_equiv₂_apply Tuple.graphEquiv₂_apply theorem self_comp_sort (f : Fin n → α) : f ∘ sort f = graph.proj ∘ graphEquiv₂ f := show graph.proj ∘ (graphEquiv₁ f ∘ (graphEquiv₁ f).symm) ∘ (graphEquiv₂ f).toEquiv = _ by simp #align tuple.self_comp_sort Tuple.self_comp_sort
Mathlib/Data/Fin/Tuple/Sort.lean
99
102
theorem monotone_proj (f : Fin n → α) : Monotone (graph.proj : graph f → α) := by rintro ⟨⟨x, i⟩, hx⟩ ⟨⟨y, j⟩, hy⟩ (_ | h)
rintro ⟨⟨x, i⟩, hx⟩ ⟨⟨y, j⟩, hy⟩ (_ | h) · exact le_of_lt ‹_› · simp [graph.proj]
true
import Mathlib.RingTheory.LocalProperties #align_import ring_theory.ring_hom.surjective from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86" namespace RingHom open scoped TensorProduct open TensorProduct Algebra.TensorProduct local notation "surjective" => fun {X Y : Type _} [CommRing X] [CommRing Y] => fun f : X →+* Y => Function.Surjective f theorem surjective_stableUnderComposition : StableUnderComposition surjective := by introv R hf hg; exact hg.comp hf #align ring_hom.surjective_stable_under_composition RingHom.surjective_stableUnderComposition
Mathlib/RingTheory/RingHom/Surjective.lean
30
33
theorem surjective_respectsIso : RespectsIso surjective := by apply surjective_stableUnderComposition.respectsIso
apply surjective_stableUnderComposition.respectsIso intros _ _ _ _ e exact e.surjective
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq
Mathlib/Data/Nat/Choose/Multinomial.lean
107
109
theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by
simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)]
true
import Mathlib.Analysis.Analytic.Constructions import Mathlib.Analysis.Calculus.Dslope import Mathlib.Analysis.Calculus.FDeriv.Analytic import Mathlib.Analysis.Analytic.Uniqueness #align_import analysis.analytic.isolated_zeros from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" open scoped Classical open Filter Function Nat FormalMultilinearSeries EMetric Set open scoped Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {s : E} {p q : FormalMultilinearSeries 𝕜 𝕜 E} {f g : 𝕜 → E} {n : ℕ} {z z₀ : 𝕜} namespace HasSum variable {a : ℕ → E}
Mathlib/Analysis/Analytic/IsolatedZeros.lean
44
45
theorem hasSum_at_zero (a : ℕ → E) : HasSum (fun n => (0 : 𝕜) ^ n • a n) (a 0) := by
convert hasSum_single (α := E) 0 fun b h ↦ _ <;> simp [*]
true
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.ConcreteCategory import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Limits.Shapes.Kernels universe w v u t r namespace CategoryTheory.Limits.Concrete attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort variable {C : Type u} [Category.{v} C] section Products section WidePushout open WidePushout open WidePushoutShape variable [ConcreteCategory.{v} C]
Mathlib/CategoryTheory/Limits/Shapes/ConcreteCategory.lean
324
333
theorem widePushout_exists_rep {B : C} {α : Type _} {X : α → C} (f : ∀ j : α, B ⟶ X j) [HasWidePushout.{v} B X f] [PreservesColimit (wideSpan B X f) (forget C)] (x : ↑(widePushout B X f)) : (∃ y : B, head f y = x) ∨ ∃ (i : α) (y : X i), ι f i y = x := by obtain ⟨_ | j, y, rfl⟩ := Concrete.colimit_exists_rep _ x
obtain ⟨_ | j, y, rfl⟩ := Concrete.colimit_exists_rep _ x · left use y rfl · right use j, y rfl
true
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] 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] #align finsupp.count_to_multiset Finsupp.count_toMultiset theorem toMultiset_sup [DecidableEq α] (f g : α →₀ ℕ) : toMultiset (f ⊔ g) = toMultiset f ∪ toMultiset g := by ext simp_rw [Multiset.count_union, Finsupp.count_toMultiset, Finsupp.sup_apply, sup_eq_max]
Mathlib/Data/Finsupp/Multiset.lean
122
125
theorem toMultiset_inf [DecidableEq α] (f g : α →₀ ℕ) : toMultiset (f ⊓ g) = toMultiset f ∩ toMultiset g := by ext
ext simp_rw [Multiset.count_inter, Finsupp.count_toMultiset, Finsupp.inf_apply, inf_eq_min]
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.Prod import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Tactic.FinCases import Mathlib.Tactic.LinearCombination import Mathlib.Lean.Expr.ExtraRecognizers import Mathlib.Data.Set.Subsingleton #align_import linear_algebra.linear_independent from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" noncomputable section open Function Set Submodule open Cardinal universe u' u variable {ι : Type u'} {ι' : Type*} {R : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable {v : ι → M} variable [Semiring R] [AddCommMonoid M] [AddCommMonoid M'] [AddCommMonoid M''] variable [Module R M] [Module R M'] [Module R M''] variable {a b : R} {x y : M} variable (R) (v) def LinearIndependent : Prop := LinearMap.ker (Finsupp.total ι M R v) = ⊥ #align linear_independent LinearIndependent open Lean PrettyPrinter.Delaborator SubExpr in @[delab app.LinearIndependent] def delabLinearIndependent : Delab := whenPPOption getPPNotation <| whenNotPPOption getPPAnalysisSkip <| withOptionAtCurrPos `pp.analysis.skip true do let e ← getExpr guard <| e.isAppOfArity ``LinearIndependent 7 let some _ := (e.getArg! 0).coeTypeSet? | failure let optionsPerPos ← if (e.getArg! 3).isLambda then withNaryArg 3 do return (← read).optionsPerPos.setBool (← getPos) pp.funBinderTypes.name true else withNaryArg 0 do return (← read).optionsPerPos.setBool (← getPos) `pp.analysis.namedArg true withTheReader Context ({· with optionsPerPos}) delab variable {R} {v}
Mathlib/LinearAlgebra/LinearIndependent.lean
126
128
theorem linearIndependent_iff : LinearIndependent R v ↔ ∀ l, Finsupp.total ι M R v l = 0 → l = 0 := by
simp [LinearIndependent, LinearMap.ker_eq_bot']
true
import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Ring.Action.Basic import Mathlib.Algebra.Ring.Equiv import Mathlib.Algebra.Group.Hom.CompTypeclasses #align_import algebra.hom.group_action from "leanprover-community/mathlib"@"e7bab9a85e92cf46c02cb4725a7be2f04691e3a7" assert_not_exists Submonoid section MulActionHom variable {M' : Type*} variable {M : Type*} {N : Type*} {P : Type*} variable (φ : M → N) (ψ : N → P) (χ : M → P) variable (X : Type*) [SMul M X] [SMul M' X] variable (Y : Type*) [SMul N Y] [SMul M' Y] variable (Z : Type*) [SMul P Z] -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure MulActionHom where protected toFun : X → Y protected map_smul' : ∀ (m : M) (x : X), toFun (m • x) = (φ m) • toFun x notation:25 (name := «MulActionHomLocal≺») X " →ₑ[" φ:25 "] " Y:0 => MulActionHom φ X Y notation:25 (name := «MulActionHomIdLocal≺») X " →[" M:25 "] " Y:0 => MulActionHom (@id M) X Y class MulActionSemiHomClass (F : Type*) {M N : outParam Type*} (φ : outParam (M → N)) (X Y : outParam Type*) [SMul M X] [SMul N Y] [FunLike F X Y] : Prop where map_smulₛₗ : ∀ (f : F) (c : M) (x : X), f (c • x) = (φ c) • (f x) #align smul_hom_class MulActionSemiHomClass export MulActionSemiHomClass (map_smulₛₗ) abbrev MulActionHomClass (F : Type*) (M : outParam Type*) (X Y : outParam Type*) [SMul M X] [SMul M Y] [FunLike F X Y] := MulActionSemiHomClass F (@id M) X Y instance : FunLike (MulActionHom φ X Y) X Y where coe := MulActionHom.toFun coe_injective' f g h := by cases f; cases g; congr @[simp] theorem map_smul {F M X Y : Type*} [SMul M X] [SMul M Y] [FunLike F X Y] [MulActionHomClass F M X Y] (f : F) (c : M) (x : X) : f (c • x) = c • f x := map_smulₛₗ f c x -- attribute [simp] map_smulₛₗ -- Porting note: removed has_coe_to_fun instance, coercions handled differently now #noalign mul_action_hom.has_coe_to_fun instance : MulActionSemiHomClass (X →ₑ[φ] Y) φ X Y where map_smulₛₗ := MulActionHom.map_smul' initialize_simps_projections MulActionHom (toFun → apply) namespace MulActionHom variable {φ X Y} variable {F : Type*} [FunLike F X Y] @[coe] def _root_.MulActionSemiHomClass.toMulActionHom [MulActionSemiHomClass F φ X Y] (f : F) : X →ₑ[φ] Y where toFun := DFunLike.coe f map_smul' := map_smulₛₗ f instance [MulActionSemiHomClass F φ X Y] : CoeTC F (X →ₑ[φ] Y) := ⟨MulActionSemiHomClass.toMulActionHom⟩ variable (M' X Y F) in
Mathlib/GroupTheory/GroupAction/Hom.lean
150
154
theorem _root_.IsScalarTower.smulHomClass [MulOneClass X] [SMul X Y] [IsScalarTower M' X Y] [MulActionHomClass F X X Y] : MulActionHomClass F M' X Y where map_smulₛₗ f m x := by rw [← mul_one (m • x), ← smul_eq_mul, map_smul, smul_assoc, ← map_smul,
rw [← mul_one (m • x), ← smul_eq_mul, map_smul, smul_assoc, ← map_smul, smul_eq_mul, mul_one, id_eq]
true
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 => ?_⟩
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)]
true
import Mathlib.Order.Filter.SmallSets import Mathlib.Tactic.Monotonicity import Mathlib.Topology.Compactness.Compact import Mathlib.Topology.NhdsSet import Mathlib.Algebra.Group.Defs #align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c" open Set Filter Topology universe u v ua ub uc ud variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*} def idRel {α : Type*} := { p : α × α | p.1 = p.2 } #align id_rel idRel @[simp] theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b := Iff.rfl #align mem_id_rel mem_idRel @[simp] theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by simp [subset_def] #align id_rel_subset idRel_subset def compRel (r₁ r₂ : Set (α × α)) := { p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ } #align comp_rel compRel @[inherit_doc] scoped[Uniformity] infixl:62 " ○ " => compRel open Uniformity @[simp] theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} : (x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ := Iff.rfl #align mem_comp_rel mem_compRel @[simp] theorem swap_idRel : Prod.swap '' idRel = @idRel α := Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm #align swap_id_rel swap_idRel theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) : Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩ #align monotone.comp_rel Monotone.compRel @[mono] theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k := fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩ #align comp_rel_mono compRel_mono theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) : (a, b) ∈ s ○ t := ⟨c, h₁, h₂⟩ #align prod_mk_mem_comp_rel prod_mk_mem_compRel @[simp] theorem id_compRel {r : Set (α × α)} : idRel ○ r = r := Set.ext fun ⟨a, b⟩ => by simp #align id_comp_rel id_compRel theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by ext ⟨a, b⟩; simp only [mem_compRel]; tauto #align comp_rel_assoc compRel_assoc theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in => ⟨y, xy_in, h <| rfl⟩ #align left_subset_comp_rel left_subset_compRel theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in => ⟨x, h <| rfl, xy_in⟩ #align right_subset_comp_rel right_subset_compRel theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s := left_subset_compRel h #align subset_comp_self subset_comp_self
Mathlib/Topology/UniformSpace/Basic.lean
199
202
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) : t ⊆ (s ○ ·)^[n] t := by induction' n with n ihn generalizing t
induction' n with n ihn generalizing t exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
true
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] 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 _ _) #align finite_field.matrix.charpoly_pow_card FiniteField.Matrix.charpoly_pow_card @[simp]
Mathlib/LinearAlgebra/Matrix/Charpoly/FiniteField.lean
47
50
theorem ZMod.charpoly_pow_card {p : ℕ} [Fact p.Prime] (M : Matrix n n (ZMod p)) : (M ^ p).charpoly = M.charpoly := by have h := FiniteField.Matrix.charpoly_pow_card M
have h := FiniteField.Matrix.charpoly_pow_card M rwa [ZMod.card] at h
true
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
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)))
true
import Mathlib.Analysis.RCLike.Lemmas import Mathlib.MeasureTheory.Function.StronglyMeasurable.Inner import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.function.l2_space from "leanprover-community/mathlib"@"83a66c8775fa14ee5180c85cab98e970956401ad" set_option linter.uppercaseLean3 false noncomputable section open TopologicalSpace MeasureTheory MeasureTheory.Lp Filter open scoped NNReal ENNReal MeasureTheory namespace MeasureTheory section variable {α F : Type*} {m : MeasurableSpace α} {μ : Measure α} [NormedAddCommGroup F] theorem Memℒp.integrable_sq {f : α → ℝ} (h : Memℒp f 2 μ) : Integrable (fun x => f x ^ 2) μ := by simpa [← memℒp_one_iff_integrable] using h.norm_rpow two_ne_zero ENNReal.two_ne_top #align measure_theory.mem_ℒp.integrable_sq MeasureTheory.Memℒp.integrable_sq theorem memℒp_two_iff_integrable_sq_norm {f : α → F} (hf : AEStronglyMeasurable f μ) : Memℒp f 2 μ ↔ Integrable (fun x => ‖f x‖ ^ 2) μ := by rw [← memℒp_one_iff_integrable] convert (memℒp_norm_rpow_iff hf two_ne_zero ENNReal.two_ne_top).symm · simp · rw [div_eq_mul_inv, ENNReal.mul_inv_cancel two_ne_zero ENNReal.two_ne_top] #align measure_theory.mem_ℒp_two_iff_integrable_sq_norm MeasureTheory.memℒp_two_iff_integrable_sq_norm theorem memℒp_two_iff_integrable_sq {f : α → ℝ} (hf : AEStronglyMeasurable f μ) : Memℒp f 2 μ ↔ Integrable (fun x => f x ^ 2) μ := by convert memℒp_two_iff_integrable_sq_norm hf using 3 simp #align measure_theory.mem_ℒp_two_iff_integrable_sq MeasureTheory.memℒp_two_iff_integrable_sq end namespace L2 variable {α E F 𝕜 : Type*} [RCLike 𝕜] [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] [NormedAddCommGroup F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
Mathlib/MeasureTheory/Function/L2Space.lean
118
121
theorem snorm_rpow_two_norm_lt_top (f : Lp F 2 μ) : snorm (fun x => ‖f x‖ ^ (2 : ℝ)) 1 μ < ∞ := by have h_two : ENNReal.ofReal (2 : ℝ) = 2 := by simp [zero_le_one]
have h_two : ENNReal.ofReal (2 : ℝ) = 2 := by simp [zero_le_one] rw [snorm_norm_rpow f zero_lt_two, one_mul, h_two] exact ENNReal.rpow_lt_top_of_nonneg zero_le_two (Lp.snorm_ne_top f)
true
import Mathlib.LinearAlgebra.Matrix.Symmetric import Mathlib.LinearAlgebra.Matrix.Orthogonal import Mathlib.Data.Matrix.Kronecker #align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99" namespace Matrix variable {α β R n m : Type*} open Function open Matrix Kronecker def IsDiag [Zero α] (A : Matrix n n α) : Prop := Pairwise fun i j => A i j = 0 #align matrix.is_diag Matrix.IsDiag @[simp] theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ => Matrix.diagonal_apply_ne _ #align matrix.is_diag_diagonal Matrix.isDiag_diagonal theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) : diagonal (diag A) = A := ext fun i j => by obtain rfl | hij := Decidable.eq_or_ne i j · rw [diagonal_apply_eq, diag] · rw [diagonal_apply_ne _ hij, h hij] #align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) : A.IsDiag ↔ diagonal (diag A) = A := ⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩ #align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag := fun i j h => (h <| Subsingleton.elim i j).elim #align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton @[simp] theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl #align matrix.is_diag_zero Matrix.isDiag_zero @[simp] theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ => one_apply_ne #align matrix.is_diag_one Matrix.isDiag_one theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) : (A.map f).IsDiag := by intro i j h simp [ha h, hf] #align matrix.is_diag.map Matrix.IsDiag.map theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by intro i j h simp [ha h] #align matrix.is_diag.neg Matrix.IsDiag.neg @[simp] theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag := ⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩ #align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) : (A + B).IsDiag := by intro i j h simp [ha h, hb h] #align matrix.is_diag.add Matrix.IsDiag.add theorem IsDiag.sub [AddGroup α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) : (A - B).IsDiag := by intro i j h simp [ha h, hb h] #align matrix.is_diag.sub Matrix.IsDiag.sub
Mathlib/LinearAlgebra/Matrix/IsDiag.lean
104
107
theorem IsDiag.smul [Monoid R] [AddMonoid α] [DistribMulAction R α] (k : R) {A : Matrix n n α} (ha : A.IsDiag) : (k • A).IsDiag := by intro i j h
intro i j h simp [ha h]
true
import Mathlib.SetTheory.Game.Ordinal import Mathlib.SetTheory.Ordinal.NaturalOps #align_import set_theory.game.birthday from "leanprover-community/mathlib"@"a347076985674932c0e91da09b9961ed0a79508c" universe u open Ordinal namespace SetTheory open scoped NaturalOps PGame namespace PGame noncomputable def birthday : PGame.{u} → Ordinal.{u} | ⟨_, _, xL, xR⟩ => max (lsub.{u, u} fun i => birthday (xL i)) (lsub.{u, u} fun i => birthday (xR i)) #align pgame.birthday SetTheory.PGame.birthday theorem birthday_def (x : PGame) : birthday x = max (lsub.{u, u} fun i => birthday (x.moveLeft i)) (lsub.{u, u} fun i => birthday (x.moveRight i)) := by cases x; rw [birthday]; rfl #align pgame.birthday_def SetTheory.PGame.birthday_def theorem birthday_moveLeft_lt {x : PGame} (i : x.LeftMoves) : (x.moveLeft i).birthday < x.birthday := by cases x; rw [birthday]; exact lt_max_of_lt_left (lt_lsub _ i) #align pgame.birthday_move_left_lt SetTheory.PGame.birthday_moveLeft_lt theorem birthday_moveRight_lt {x : PGame} (i : x.RightMoves) : (x.moveRight i).birthday < x.birthday := by cases x; rw [birthday]; exact lt_max_of_lt_right (lt_lsub _ i) #align pgame.birthday_move_right_lt SetTheory.PGame.birthday_moveRight_lt theorem lt_birthday_iff {x : PGame} {o : Ordinal} : o < x.birthday ↔ (∃ i : x.LeftMoves, o ≤ (x.moveLeft i).birthday) ∨ ∃ i : x.RightMoves, o ≤ (x.moveRight i).birthday := by constructor · rw [birthday_def] intro h cases' lt_max_iff.1 h with h' h' · left rwa [lt_lsub_iff] at h' · right rwa [lt_lsub_iff] at h' · rintro (⟨i, hi⟩ | ⟨i, hi⟩) · exact hi.trans_lt (birthday_moveLeft_lt i) · exact hi.trans_lt (birthday_moveRight_lt i) #align pgame.lt_birthday_iff SetTheory.PGame.lt_birthday_iff theorem Relabelling.birthday_congr : ∀ {x y : PGame.{u}}, x ≡r y → birthday x = birthday y | ⟨xl, xr, xL, xR⟩, ⟨yl, yr, yL, yR⟩, r => by unfold birthday congr 1 all_goals apply lsub_eq_of_range_eq.{u, u, u} ext i; constructor all_goals rintro ⟨j, rfl⟩ · exact ⟨_, (r.moveLeft j).birthday_congr.symm⟩ · exact ⟨_, (r.moveLeftSymm j).birthday_congr⟩ · exact ⟨_, (r.moveRight j).birthday_congr.symm⟩ · exact ⟨_, (r.moveRightSymm j).birthday_congr⟩ termination_by x y => (x, y) #align pgame.relabelling.birthday_congr SetTheory.PGame.Relabelling.birthday_congr @[simp] theorem birthday_eq_zero {x : PGame} : birthday x = 0 ↔ IsEmpty x.LeftMoves ∧ IsEmpty x.RightMoves := by rw [birthday_def, max_eq_zero, lsub_eq_zero_iff, lsub_eq_zero_iff] #align pgame.birthday_eq_zero SetTheory.PGame.birthday_eq_zero @[simp] theorem birthday_zero : birthday 0 = 0 := by simp [inferInstanceAs (IsEmpty PEmpty)] #align pgame.birthday_zero SetTheory.PGame.birthday_zero @[simp] theorem birthday_one : birthday 1 = 1 := by rw [birthday_def]; simp #align pgame.birthday_one SetTheory.PGame.birthday_one @[simp] theorem birthday_star : birthday star = 1 := by rw [birthday_def]; simp #align pgame.birthday_star SetTheory.PGame.birthday_star @[simp] theorem neg_birthday : ∀ x : PGame, (-x).birthday = x.birthday | ⟨xl, xr, xL, xR⟩ => by rw [birthday_def, birthday_def, max_comm] congr <;> funext <;> apply neg_birthday #align pgame.neg_birthday SetTheory.PGame.neg_birthday @[simp]
Mathlib/SetTheory/Game/Birthday.lean
122
129
theorem toPGame_birthday (o : Ordinal) : o.toPGame.birthday = o := by induction' o using Ordinal.induction with o IH
induction' o using Ordinal.induction with o IH rw [toPGame_def, PGame.birthday] simp only [lsub_empty, max_zero_right] -- Porting note: was `nth_rw 1 [← lsub_typein o]` conv_rhs => rw [← lsub_typein o] congr with x exact IH _ (typein_lt_self x)
true
import Mathlib.Analysis.Convex.Basic import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Topology.Order.Basic #align_import analysis.convex.strict from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219" open Set open Convex Pointwise variable {𝕜 𝕝 E F β : Type*} open Function Set open Convex section OrderedSemiring variable [OrderedSemiring 𝕜] [TopologicalSpace E] [TopologicalSpace F] section AddCommMonoid variable [AddCommMonoid E] [AddCommMonoid F] section SMul variable (𝕜) variable [SMul 𝕜 E] [SMul 𝕜 F] (s : Set E) def StrictConvex : Prop := s.Pairwise fun x y => ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ interior s #align strict_convex StrictConvex variable {𝕜 s} variable {x y : E} {a b : 𝕜} theorem strictConvex_iff_openSegment_subset : StrictConvex 𝕜 s ↔ s.Pairwise fun x y => openSegment 𝕜 x y ⊆ interior s := forall₅_congr fun _ _ _ _ _ => (openSegment_subset_iff 𝕜).symm #align strict_convex_iff_open_segment_subset strictConvex_iff_openSegment_subset theorem StrictConvex.openSegment_subset (hs : StrictConvex 𝕜 s) (hx : x ∈ s) (hy : y ∈ s) (h : x ≠ y) : openSegment 𝕜 x y ⊆ interior s := strictConvex_iff_openSegment_subset.1 hs hx hy h #align strict_convex.open_segment_subset StrictConvex.openSegment_subset theorem strictConvex_empty : StrictConvex 𝕜 (∅ : Set E) := pairwise_empty _ #align strict_convex_empty strictConvex_empty theorem strictConvex_univ : StrictConvex 𝕜 (univ : Set E) := by intro x _ y _ _ a b _ _ _ rw [interior_univ] exact mem_univ _ #align strict_convex_univ strictConvex_univ protected nonrec theorem StrictConvex.eq (hs : StrictConvex 𝕜 s) (hx : x ∈ s) (hy : y ∈ s) (ha : 0 < a) (hb : 0 < b) (hab : a + b = 1) (h : a • x + b • y ∉ interior s) : x = y := hs.eq hx hy fun H => h <| H ha hb hab #align strict_convex.eq StrictConvex.eq protected theorem StrictConvex.inter {t : Set E} (hs : StrictConvex 𝕜 s) (ht : StrictConvex 𝕜 t) : StrictConvex 𝕜 (s ∩ t) := by intro x hx y hy hxy a b ha hb hab rw [interior_inter] exact ⟨hs hx.1 hy.1 hxy ha hb hab, ht hx.2 hy.2 hxy ha hb hab⟩ #align strict_convex.inter StrictConvex.inter
Mathlib/Analysis/Convex/Strict.lean
85
92
theorem Directed.strictConvex_iUnion {ι : Sort*} {s : ι → Set E} (hdir : Directed (· ⊆ ·) s) (hs : ∀ ⦃i : ι⦄, StrictConvex 𝕜 (s i)) : StrictConvex 𝕜 (⋃ i, s i) := by rintro x hx y hy hxy a b ha hb hab
rintro x hx y hy hxy a b ha hb hab rw [mem_iUnion] at hx hy obtain ⟨i, hx⟩ := hx obtain ⟨j, hy⟩ := hy obtain ⟨k, hik, hjk⟩ := hdir i j exact interior_mono (subset_iUnion s k) (hs (hik hx) (hjk hy) hxy ha hb hab)
true
import Mathlib.Algebra.Group.Equiv.TypeTags import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Module.LinearMap.Basic import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.LinearAlgebra.Dual import Mathlib.LinearAlgebra.Contraction import Mathlib.RingTheory.TensorProduct.Basic #align_import representation_theory.basic from "leanprover-community/mathlib"@"c04bc6e93e23aa0182aba53661a2211e80b6feac" open MonoidAlgebra (lift of) open LinearMap section variable (k G V : Type*) [CommSemiring k] [Monoid G] [AddCommMonoid V] [Module k V] abbrev Representation := G →* V →ₗ[k] V #align representation Representation end namespace Representation section MonoidAlgebra variable {k G V : Type*} [CommSemiring k] [Monoid G] [AddCommMonoid V] [Module k V] variable (ρ : Representation k G V) noncomputable def asAlgebraHom : MonoidAlgebra k G →ₐ[k] Module.End k V := (lift k G _) ρ #align representation.as_algebra_hom Representation.asAlgebraHom theorem asAlgebraHom_def : asAlgebraHom ρ = (lift k G _) ρ := rfl #align representation.as_algebra_hom_def Representation.asAlgebraHom_def @[simp] theorem asAlgebraHom_single (g : G) (r : k) : asAlgebraHom ρ (Finsupp.single g r) = r • ρ g := by simp only [asAlgebraHom_def, MonoidAlgebra.lift_single] #align representation.as_algebra_hom_single Representation.asAlgebraHom_single theorem asAlgebraHom_single_one (g : G) : asAlgebraHom ρ (Finsupp.single g 1) = ρ g := by simp #align representation.as_algebra_hom_single_one Representation.asAlgebraHom_single_one theorem asAlgebraHom_of (g : G) : asAlgebraHom ρ (of k G g) = ρ g := by simp only [MonoidAlgebra.of_apply, asAlgebraHom_single, one_smul] #align representation.as_algebra_hom_of Representation.asAlgebraHom_of @[nolint unusedArguments] def asModule (_ : Representation k G V) := V #align representation.as_module Representation.asModule -- Porting note: no derive handler instance : AddCommMonoid (ρ.asModule) := inferInstanceAs <| AddCommMonoid V instance : Inhabited ρ.asModule where default := 0 noncomputable instance asModuleModule : Module (MonoidAlgebra k G) ρ.asModule := Module.compHom V (asAlgebraHom ρ).toRingHom #align representation.as_module_module Representation.asModuleModule -- Porting note: ρ.asModule doesn't unfold now instance : Module k ρ.asModule := inferInstanceAs <| Module k V def asModuleEquiv : ρ.asModule ≃+ V := AddEquiv.refl _ #align representation.as_module_equiv Representation.asModuleEquiv @[simp] theorem asModuleEquiv_map_smul (r : MonoidAlgebra k G) (x : ρ.asModule) : ρ.asModuleEquiv (r • x) = ρ.asAlgebraHom r (ρ.asModuleEquiv x) := rfl #align representation.as_module_equiv_map_smul Representation.asModuleEquiv_map_smul @[simp] theorem asModuleEquiv_symm_map_smul (r : k) (x : V) : ρ.asModuleEquiv.symm (r • x) = algebraMap k (MonoidAlgebra k G) r • ρ.asModuleEquiv.symm x := by apply_fun ρ.asModuleEquiv simp #align representation.as_module_equiv_symm_map_smul Representation.asModuleEquiv_symm_map_smul @[simp] theorem asModuleEquiv_symm_map_rho (g : G) (x : V) : ρ.asModuleEquiv.symm (ρ g x) = MonoidAlgebra.of k G g • ρ.asModuleEquiv.symm x := by apply_fun ρ.asModuleEquiv simp #align representation.as_module_equiv_symm_map_rho Representation.asModuleEquiv_symm_map_rho noncomputable def ofModule' (M : Type*) [AddCommMonoid M] [Module k M] [Module (MonoidAlgebra k G) M] [IsScalarTower k (MonoidAlgebra k G) M] : Representation k G M := (MonoidAlgebra.lift k G (M →ₗ[k] M)).symm (Algebra.lsmul k k M) #align representation.of_module' Representation.ofModule' section variable (M : Type*) [AddCommMonoid M] [Module (MonoidAlgebra k G) M] noncomputable def ofModule : Representation k G (RestrictScalars k (MonoidAlgebra k G) M) := (MonoidAlgebra.lift k G (RestrictScalars k (MonoidAlgebra k G) M →ₗ[k] RestrictScalars k (MonoidAlgebra k G) M)).symm (RestrictScalars.lsmul k (MonoidAlgebra k G) M) #align representation.of_module Representation.ofModule @[simp] theorem ofModule_asAlgebraHom_apply_apply (r : MonoidAlgebra k G) (m : RestrictScalars k (MonoidAlgebra k G) M) : ((ofModule M).asAlgebraHom r) m = (RestrictScalars.addEquiv _ _ _).symm (r • RestrictScalars.addEquiv _ _ _ m) := by apply MonoidAlgebra.induction_on r · intro g simp only [one_smul, MonoidAlgebra.lift_symm_apply, MonoidAlgebra.of_apply, Representation.asAlgebraHom_single, Representation.ofModule, AddEquiv.apply_eq_iff_eq, RestrictScalars.lsmul_apply_apply] · intro f g fw gw simp only [fw, gw, map_add, add_smul, LinearMap.add_apply] · intro r f w simp only [w, AlgHom.map_smul, LinearMap.smul_apply, RestrictScalars.addEquiv_symm_map_smul_smul] #align representation.of_module_as_algebra_hom_apply_apply Representation.ofModule_asAlgebraHom_apply_apply @[simp]
Mathlib/RepresentationTheory/Basic.lean
238
245
theorem ofModule_asModule_act (g : G) (x : RestrictScalars k (MonoidAlgebra k G) ρ.asModule) : ofModule (k := k) (G := G) ρ.asModule g x = -- Porting note: more help with implicit (RestrictScalars.addEquiv _ _ _).symm (ρ.asModuleEquiv.symm (ρ g (ρ.asModuleEquiv (RestrictScalars.addEquiv _ _ _ x)))) := by apply_fun RestrictScalars.addEquiv _ _ ρ.asModule using
apply_fun RestrictScalars.addEquiv _ _ ρ.asModule using (RestrictScalars.addEquiv _ _ ρ.asModule).injective dsimp [ofModule, RestrictScalars.lsmul_apply_apply] simp
true
import Mathlib.RingTheory.Polynomial.Cyclotomic.Eval #align_import number_theory.primes_congruent_one from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" namespace Nat open Polynomial Nat Filter open scoped Nat theorem exists_prime_gt_modEq_one {k : ℕ} (n : ℕ) (hk0 : k ≠ 0) : ∃ p : ℕ, Nat.Prime p ∧ n < p ∧ p ≡ 1 [MOD k] := by rcases (one_le_iff_ne_zero.2 hk0).eq_or_lt with (rfl | hk1) · rcases exists_infinite_primes (n + 1) with ⟨p, hnp, hp⟩ exact ⟨p, hp, hnp, modEq_one⟩ let b := k * (n !) have hgt : 1 < (eval (↑b) (cyclotomic k ℤ)).natAbs := by rcases le_iff_exists_add'.1 hk1.le with ⟨k, rfl⟩ have hb : 2 ≤ b := le_mul_of_le_of_one_le hk1 n.factorial_pos calc 1 ≤ b - 1 := le_tsub_of_add_le_left hb _ < (eval (b : ℤ) (cyclotomic (k + 1) ℤ)).natAbs := sub_one_lt_natAbs_cyclotomic_eval hk1 (succ_le_iff.1 hb).ne' let p := minFac (eval (↑b) (cyclotomic k ℤ)).natAbs haveI hprime : Fact p.Prime := ⟨minFac_prime (ne_of_lt hgt).symm⟩ have hroot : IsRoot (cyclotomic k (ZMod p)) (castRingHom (ZMod p) b) := by have : ((b : ℤ) : ZMod p) = ↑(Int.castRingHom (ZMod p) b) := by simp rw [IsRoot.def, ← map_cyclotomic_int k (ZMod p), eval_map, coe_castRingHom, ← Int.cast_natCast, this, eval₂_hom, Int.coe_castRingHom, ZMod.intCast_zmod_eq_zero_iff_dvd] apply Int.dvd_natAbs.1 exact mod_cast minFac_dvd (eval (↑b) (cyclotomic k ℤ)).natAbs have hpb : ¬p ∣ b := hprime.1.coprime_iff_not_dvd.1 (coprime_of_root_cyclotomic hk0.bot_lt hroot).symm refine ⟨p, hprime.1, not_le.1 fun habs => ?_, ?_⟩ · exact hpb (dvd_mul_of_dvd_right (dvd_factorial (minFac_pos _) habs) _) · have hdiv : orderOf (b : ZMod p) ∣ p - 1 := ZMod.orderOf_dvd_card_sub_one (mt (CharP.cast_eq_zero_iff _ _ _).1 hpb) haveI : NeZero (k : ZMod p) := NeZero.of_not_dvd (ZMod p) fun hpk => hpb (dvd_mul_of_dvd_left hpk _) have : k = orderOf (b : ZMod p) := (isRoot_cyclotomic_iff.mp hroot).eq_orderOf rw [← this] at hdiv exact ((modEq_iff_dvd' hprime.1.pos).2 hdiv).symm #align nat.exists_prime_gt_modeq_one Nat.exists_prime_gt_modEq_one
Mathlib/NumberTheory/PrimesCongruentOne.lean
60
64
theorem frequently_atTop_modEq_one {k : ℕ} (hk0 : k ≠ 0) : ∃ᶠ p in atTop, Nat.Prime p ∧ p ≡ 1 [MOD k] := by refine frequently_atTop.2 fun n => ?_
refine frequently_atTop.2 fun n => ?_ obtain ⟨p, hp⟩ := exists_prime_gt_modEq_one n hk0 exact ⟨p, ⟨hp.2.1.le, hp.1, hp.2.2⟩⟩
true
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι] theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul] #align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by simp [volume_eq_stieltjes_id] #align real.volume_val Real.volume_val @[simp] theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ico Real.volume_Ico @[simp] theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Icc Real.volume_Icc @[simp] theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioo Real.volume_Ioo @[simp] theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioc Real.volume_Ioc -- @[simp] -- Porting note (#10618): simp can prove this theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val] #align real.volume_singleton Real.volume_singleton -- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628 theorem volume_univ : volume (univ : Set ℝ) = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => calc (r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp _ ≤ volume univ := measure_mono (subset_univ _) #align real.volume_univ Real.volume_univ @[simp] theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul] #align real.volume_ball Real.volume_ball @[simp] theorem volume_closedBall (a r : ℝ) : volume (Metric.closedBall a r) = ofReal (2 * r) := by rw [closedBall_eq_Icc, volume_Icc, ← sub_add, add_sub_cancel_left, two_mul] #align real.volume_closed_ball Real.volume_closedBall @[simp] theorem volume_emetric_ball (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.ball a r) = 2 * r := by rcases eq_or_ne r ∞ with (rfl | hr) · rw [Metric.emetric_ball_top, volume_univ, two_mul, _root_.top_add] · lift r to ℝ≥0 using hr rw [Metric.emetric_ball_nnreal, volume_ball, two_mul, ← NNReal.coe_add, ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul] #align real.volume_emetric_ball Real.volume_emetric_ball @[simp] theorem volume_emetric_closedBall (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.closedBall a r) = 2 * r := by rcases eq_or_ne r ∞ with (rfl | hr) · rw [EMetric.closedBall_top, volume_univ, two_mul, _root_.top_add] · lift r to ℝ≥0 using hr rw [Metric.emetric_closedBall_nnreal, volume_closedBall, two_mul, ← NNReal.coe_add, ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul] #align real.volume_emetric_closed_ball Real.volume_emetric_closedBall instance noAtoms_volume : NoAtoms (volume : Measure ℝ) := ⟨fun _ => volume_singleton⟩ #align real.has_no_atoms_volume Real.noAtoms_volume @[simp]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
140
141
theorem volume_interval {a b : ℝ} : volume (uIcc a b) = ofReal |b - a| := by
rw [← Icc_min_max, volume_Icc, max_sub_min_eq_abs]
true
import Mathlib.Topology.Separation open Topology Filter Set TopologicalSpace section Basic variable {α : Type*} [TopologicalSpace α] {C : Set α} theorem AccPt.nhds_inter {x : α} {U : Set α} (h_acc : AccPt x (𝓟 C)) (hU : U ∈ 𝓝 x) : AccPt x (𝓟 (U ∩ C)) := by have : 𝓝[≠] x ≤ 𝓟 U := by rw [le_principal_iff] exact mem_nhdsWithin_of_mem_nhds hU rw [AccPt, ← inf_principal, ← inf_assoc, inf_of_le_left this] exact h_acc #align acc_pt.nhds_inter AccPt.nhds_inter def Preperfect (C : Set α) : Prop := ∀ x ∈ C, AccPt x (𝓟 C) #align preperfect Preperfect @[mk_iff perfect_def] structure Perfect (C : Set α) : Prop where closed : IsClosed C acc : Preperfect C #align perfect Perfect theorem preperfect_iff_nhds : Preperfect C ↔ ∀ x ∈ C, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp only [Preperfect, accPt_iff_nhds] #align preperfect_iff_nhds preperfect_iff_nhds section Kernel theorem exists_countable_union_perfect_of_isClosed [SecondCountableTopology α] (hclosed : IsClosed C) : ∃ V D : Set α, V.Countable ∧ Perfect D ∧ C = V ∪ D := by obtain ⟨b, bct, _, bbasis⟩ := TopologicalSpace.exists_countable_basis α let v := { U ∈ b | (U ∩ C).Countable } let V := ⋃ U ∈ v, U let D := C \ V have Vct : (V ∩ C).Countable := by simp only [V, iUnion_inter, mem_sep_iff] apply Countable.biUnion · exact Countable.mono inter_subset_left bct · exact inter_subset_right refine ⟨V ∩ C, D, Vct, ⟨?_, ?_⟩, ?_⟩ · refine hclosed.sdiff (isOpen_biUnion fun _ ↦ ?_) exact fun ⟨Ub, _⟩ ↦ IsTopologicalBasis.isOpen bbasis Ub · rw [preperfect_iff_nhds] intro x xD E xE have : ¬(E ∩ D).Countable := by intro h obtain ⟨U, hUb, xU, hU⟩ : ∃ U ∈ b, x ∈ U ∧ U ⊆ E := (IsTopologicalBasis.mem_nhds_iff bbasis).mp xE have hU_cnt : (U ∩ C).Countable := by apply @Countable.mono _ _ (E ∩ D ∪ V ∩ C) · rintro y ⟨yU, yC⟩ by_cases h : y ∈ V · exact mem_union_right _ (mem_inter h yC) · exact mem_union_left _ (mem_inter (hU yU) ⟨yC, h⟩) exact Countable.union h Vct have : U ∈ v := ⟨hUb, hU_cnt⟩ apply xD.2 exact mem_biUnion this xU by_contra! h exact absurd (Countable.mono h (Set.countable_singleton _)) this · rw [inter_comm, inter_union_diff] #align exists_countable_union_perfect_of_is_closed exists_countable_union_perfect_of_isClosed
Mathlib/Topology/Perfect.lean
222
233
theorem exists_perfect_nonempty_of_isClosed_of_not_countable [SecondCountableTopology α] (hclosed : IsClosed C) (hunc : ¬C.Countable) : ∃ D : Set α, Perfect D ∧ D.Nonempty ∧ D ⊆ C := by rcases exists_countable_union_perfect_of_isClosed hclosed with ⟨V, D, Vct, Dperf, VD⟩
rcases exists_countable_union_perfect_of_isClosed hclosed with ⟨V, D, Vct, Dperf, VD⟩ refine ⟨D, ⟨Dperf, ?_⟩⟩ constructor · rw [nonempty_iff_ne_empty] by_contra h rw [h, union_empty] at VD rw [VD] at hunc contradiction rw [VD] exact subset_union_right
true
import Mathlib.Analysis.NormedSpace.OperatorNorm.Bilinear import Mathlib.Analysis.NormedSpace.OperatorNorm.NNNorm import Mathlib.Analysis.NormedSpace.Span suppress_compilation open Bornology open Filter hiding map_smul open scoped Classical NNReal Topology Uniformity -- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*} section Normed variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] [NormedAddCommGroup Fₗ] open Metric ContinuousLinearMap section variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃] [NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜₃ G] [NormedSpace 𝕜 Fₗ] (c : 𝕜) {σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} (f g : E →SL[σ₁₂] F) (x y z : E) namespace ContinuousLinearMap section OpNorm open Set Real theorem opNorm_zero_iff [RingHomIsometric σ₁₂] : ‖f‖ = 0 ↔ f = 0 := Iff.intro (fun hn => ContinuousLinearMap.ext fun x => norm_le_zero_iff.1 (calc _ ≤ ‖f‖ * ‖x‖ := le_opNorm _ _ _ = _ := by rw [hn, zero_mul])) (by rintro rfl exact opNorm_zero) #align continuous_linear_map.op_norm_zero_iff ContinuousLinearMap.opNorm_zero_iff @[deprecated (since := "2024-02-02")] alias op_norm_zero_iff := opNorm_zero_iff @[simp]
Mathlib/Analysis/NormedSpace/OperatorNorm/NormedSpace.lean
114
117
theorem norm_id [Nontrivial E] : ‖id 𝕜 E‖ = 1 := by refine norm_id_of_nontrivial_seminorm ?_
refine norm_id_of_nontrivial_seminorm ?_ obtain ⟨x, hx⟩ := exists_ne (0 : E) exact ⟨x, ne_of_gt (norm_pos_iff.2 hx)⟩
true
import Mathlib.CategoryTheory.Sites.Subsheaf import Mathlib.CategoryTheory.Sites.CompatibleSheafification import Mathlib.CategoryTheory.Sites.LocallyInjective #align_import category_theory.sites.surjective from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v u w v' u' w' open Opposite CategoryTheory CategoryTheory.GrothendieckTopology namespace CategoryTheory variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike variable {A : Type u'} [Category.{v'} A] [ConcreteCategory.{w'} A] namespace Presheaf @[simps (config := .lemmasOnly)] def imageSieve {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : G.obj (op U)) : Sieve U where arrows V i := ∃ t : F.obj (op V), f.app _ t = G.map i.op s downward_closed := by rintro V W i ⟨t, ht⟩ j refine ⟨F.map j.op t, ?_⟩ rw [op_comp, G.map_comp, comp_apply, ← ht, elementwise_of% f.naturality] #align category_theory.image_sieve CategoryTheory.Presheaf.imageSieve theorem imageSieve_eq_sieveOfSection {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : G.obj (op U)) : imageSieve f s = (imagePresheaf (whiskerRight f (forget A))).sieveOfSection s := rfl #align category_theory.image_sieve_eq_sieve_of_section CategoryTheory.Presheaf.imageSieve_eq_sieveOfSection theorem imageSieve_whisker_forget {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : G.obj (op U)) : imageSieve (whiskerRight f (forget A)) s = imageSieve f s := rfl #align category_theory.image_sieve_whisker_forget CategoryTheory.Presheaf.imageSieve_whisker_forget theorem imageSieve_app {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : C} (s : F.obj (op U)) : imageSieve f (f.app _ s) = ⊤ := by ext V i simp only [Sieve.top_apply, iff_true_iff, imageSieve_apply] have := elementwise_of% (f.naturality i.op) exact ⟨F.map i.op s, this s⟩ #align category_theory.image_sieve_app CategoryTheory.Presheaf.imageSieve_app noncomputable def localPreimage {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : Cᵒᵖ} (s : G.obj U) {V : C} (g : V ⟶ U.unop) (hg : imageSieve f s g) : F.obj (op V) := hg.choose @[simp] lemma app_localPreimage {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) {U : Cᵒᵖ} (s : G.obj U) {V : C} (g : V ⟶ U.unop) (hg : imageSieve f s g) : f.app _ (localPreimage f s g hg) = G.map g.op s := hg.choose_spec class IsLocallySurjective {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) : Prop where imageSieve_mem {U : C} (s : G.obj (op U)) : imageSieve f s ∈ J U #align category_theory.is_locally_surjective CategoryTheory.Presheaf.IsLocallySurjective lemma imageSieve_mem {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) [IsLocallySurjective J f] {U : Cᵒᵖ} (s : G.obj U) : imageSieve f s ∈ J U.unop := IsLocallySurjective.imageSieve_mem _ instance {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) [IsLocallySurjective J f] : IsLocallySurjective J (whiskerRight f (forget A)) where imageSieve_mem s := imageSieve_mem J f s theorem isLocallySurjective_iff_imagePresheaf_sheafify_eq_top {F G : Cᵒᵖ ⥤ A} (f : F ⟶ G) : IsLocallySurjective J f ↔ (imagePresheaf (whiskerRight f (forget A))).sheafify J = ⊤ := by simp only [Subpresheaf.ext_iff, Function.funext_iff, Set.ext_iff, top_subpresheaf_obj, Set.top_eq_univ, Set.mem_univ, iff_true_iff] exact ⟨fun H _ => H.imageSieve_mem, fun H => ⟨H _⟩⟩ #align category_theory.is_locally_surjective_iff_image_presheaf_sheafify_eq_top CategoryTheory.Presheaf.isLocallySurjective_iff_imagePresheaf_sheafify_eq_top
Mathlib/CategoryTheory/Sites/LocallySurjective.lean
108
110
theorem isLocallySurjective_iff_imagePresheaf_sheafify_eq_top' {F G : Cᵒᵖ ⥤ Type w} (f : F ⟶ G) : IsLocallySurjective J f ↔ (imagePresheaf f).sheafify J = ⊤ := by
apply isLocallySurjective_iff_imagePresheaf_sheafify_eq_top
true
import Mathlib.Data.Rat.Sqrt import Mathlib.Data.Real.Sqrt import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Int.Basic import Mathlib.Tactic.IntervalCases #align_import data.real.irrational from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d" open Rat Real multiplicity def Irrational (x : ℝ) := x ∉ Set.range ((↑) : ℚ → ℝ) #align irrational Irrational theorem irrational_iff_ne_rational (x : ℝ) : Irrational x ↔ ∀ a b : ℤ, x ≠ a / b := by simp only [Irrational, Rat.forall, cast_mk, not_exists, Set.mem_range, cast_intCast, cast_div, eq_comm] #align irrational_iff_ne_rational irrational_iff_ne_rational
Mathlib/Data/Real/Irrational.lean
38
40
theorem Transcendental.irrational {r : ℝ} (tr : Transcendental ℚ r) : Irrational r := by rintro ⟨a, rfl⟩
rintro ⟨a, rfl⟩ exact tr (isAlgebraic_algebraMap a)
true
import Mathlib.CategoryTheory.Sites.Sieves import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Category.Preorder import Mathlib.Order.Copy import Mathlib.Data.Set.Subsingleton #align_import category_theory.sites.grothendieck from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" universe v₁ u₁ v u namespace CategoryTheory open CategoryTheory Category variable (C : Type u) [Category.{v} C] structure GrothendieckTopology where sieves : ∀ X : C, Set (Sieve X) top_mem' : ∀ X, ⊤ ∈ sieves X pullback_stable' : ∀ ⦃X Y : C⦄ ⦃S : Sieve X⦄ (f : Y ⟶ X), S ∈ sieves X → S.pullback f ∈ sieves Y transitive' : ∀ ⦃X⦄ ⦃S : Sieve X⦄ (_ : S ∈ sieves X) (R : Sieve X), (∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → R.pullback f ∈ sieves Y) → R ∈ sieves X #align category_theory.grothendieck_topology CategoryTheory.GrothendieckTopology namespace GrothendieckTopology instance : CoeFun (GrothendieckTopology C) fun _ => ∀ X : C, Set (Sieve X) := ⟨sieves⟩ variable {C} variable {X Y : C} {S R : Sieve X} variable (J : GrothendieckTopology C) @[ext] theorem ext {J₁ J₂ : GrothendieckTopology C} (h : (J₁ : ∀ X : C, Set (Sieve X)) = J₂) : J₁ = J₂ := by cases J₁ cases J₂ congr #align category_theory.grothendieck_topology.ext CategoryTheory.GrothendieckTopology.ext @[simp] theorem top_mem (X : C) : ⊤ ∈ J X := J.top_mem' X #align category_theory.grothendieck_topology.top_mem CategoryTheory.GrothendieckTopology.top_mem @[simp] theorem pullback_stable (f : Y ⟶ X) (hS : S ∈ J X) : S.pullback f ∈ J Y := J.pullback_stable' f hS #align category_theory.grothendieck_topology.pullback_stable CategoryTheory.GrothendieckTopology.pullback_stable theorem transitive (hS : S ∈ J X) (R : Sieve X) (h : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → R.pullback f ∈ J Y) : R ∈ J X := J.transitive' hS R h #align category_theory.grothendieck_topology.transitive CategoryTheory.GrothendieckTopology.transitive theorem covering_of_eq_top : S = ⊤ → S ∈ J X := fun h => h.symm ▸ J.top_mem X #align category_theory.grothendieck_topology.covering_of_eq_top CategoryTheory.GrothendieckTopology.covering_of_eq_top theorem superset_covering (Hss : S ≤ R) (sjx : S ∈ J X) : R ∈ J X := by apply J.transitive sjx R fun Y f hf => _ intros Y f hf apply covering_of_eq_top rw [← top_le_iff, ← S.pullback_eq_top_of_mem hf] apply Sieve.pullback_monotone _ Hss #align category_theory.grothendieck_topology.superset_covering CategoryTheory.GrothendieckTopology.superset_covering theorem intersection_covering (rj : R ∈ J X) (sj : S ∈ J X) : R ⊓ S ∈ J X := by apply J.transitive rj _ fun Y f Hf => _ intros Y f hf rw [Sieve.pullback_inter, R.pullback_eq_top_of_mem hf] simp [sj] #align category_theory.grothendieck_topology.intersection_covering CategoryTheory.GrothendieckTopology.intersection_covering @[simp] theorem intersection_covering_iff : R ⊓ S ∈ J X ↔ R ∈ J X ∧ S ∈ J X := ⟨fun h => ⟨J.superset_covering inf_le_left h, J.superset_covering inf_le_right h⟩, fun t => intersection_covering _ t.1 t.2⟩ #align category_theory.grothendieck_topology.intersection_covering_iff CategoryTheory.GrothendieckTopology.intersection_covering_iff theorem bind_covering {S : Sieve X} {R : ∀ ⦃Y : C⦄ ⦃f : Y ⟶ X⦄, S f → Sieve Y} (hS : S ∈ J X) (hR : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (H : S f), R H ∈ J Y) : Sieve.bind S R ∈ J X := J.transitive hS _ fun _ f hf => superset_covering J (Sieve.le_pullback_bind S R f hf) (hR hf) #align category_theory.grothendieck_topology.bind_covering CategoryTheory.GrothendieckTopology.bind_covering def Covers (S : Sieve X) (f : Y ⟶ X) : Prop := S.pullback f ∈ J Y #align category_theory.grothendieck_topology.covers CategoryTheory.GrothendieckTopology.Covers theorem covers_iff (S : Sieve X) (f : Y ⟶ X) : J.Covers S f ↔ S.pullback f ∈ J Y := Iff.rfl #align category_theory.grothendieck_topology.covers_iff CategoryTheory.GrothendieckTopology.covers_iff
Mathlib/CategoryTheory/Sites/Grothendieck.lean
187
187
theorem covering_iff_covers_id (S : Sieve X) : S ∈ J X ↔ J.Covers S (𝟙 X) := by
simp [covers_iff]
true
import Mathlib.Order.Filter.Basic #align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" open Set open Filter namespace Filter variable {α β γ δ : Type*} {ι : Sort*} section Prod variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β} protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) := f.comap Prod.fst ⊓ g.comap Prod.snd #align filter.prod Filter.prod instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where sprod := Filter.prod theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g := inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht) #align filter.prod_mem_prod Filter.prod_mem_prod theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} : s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by simp only [SProd.sprod, Filter.prod] constructor · rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩ exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩ · rintro ⟨t₁, ht₁, t₂, ht₂, h⟩ exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h #align filter.mem_prod_iff Filter.mem_prod_iff @[simp] theorem prod_mem_prod_iff [f.NeBot] [g.NeBot] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g := ⟨fun h => let ⟨_s', hs', _t', ht', H⟩ := mem_prod_iff.1 h (prod_subset_prod_iff.1 H).elim (fun ⟨hs's, ht't⟩ => ⟨mem_of_superset hs' hs's, mem_of_superset ht' ht't⟩) fun h => h.elim (fun hs'e => absurd hs'e (nonempty_of_mem hs').ne_empty) fun ht'e => absurd ht'e (nonempty_of_mem ht').ne_empty, fun h => prod_mem_prod h.1 h.2⟩ #align filter.prod_mem_prod_iff Filter.prod_mem_prod_iff theorem mem_prod_principal {s : Set (α × β)} : s ∈ f ×ˢ 𝓟 t ↔ { a | ∀ b ∈ t, (a, b) ∈ s } ∈ f := by rw [← @exists_mem_subset_iff _ f, mem_prod_iff] refine exists_congr fun u => Iff.rfl.and ⟨?_, fun h => ⟨t, mem_principal_self t, ?_⟩⟩ · rintro ⟨v, v_in, hv⟩ a a_in b b_in exact hv (mk_mem_prod a_in <| v_in b_in) · rintro ⟨x, y⟩ ⟨hx, hy⟩ exact h hx y hy #align filter.mem_prod_principal Filter.mem_prod_principal theorem mem_prod_top {s : Set (α × β)} : s ∈ f ×ˢ (⊤ : Filter β) ↔ { a | ∀ b, (a, b) ∈ s } ∈ f := by rw [← principal_univ, mem_prod_principal] simp only [mem_univ, forall_true_left] #align filter.mem_prod_top Filter.mem_prod_top theorem eventually_prod_principal_iff {p : α × β → Prop} {s : Set β} : (∀ᶠ x : α × β in f ×ˢ 𝓟 s, p x) ↔ ∀ᶠ x : α in f, ∀ y : β, y ∈ s → p (x, y) := by rw [eventually_iff, eventually_iff, mem_prod_principal] simp only [mem_setOf_eq] #align filter.eventually_prod_principal_iff Filter.eventually_prod_principal_iff theorem comap_prod (f : α → β × γ) (b : Filter β) (c : Filter γ) : comap f (b ×ˢ c) = comap (Prod.fst ∘ f) b ⊓ comap (Prod.snd ∘ f) c := by erw [comap_inf, Filter.comap_comap, Filter.comap_comap] #align filter.comap_prod Filter.comap_prod theorem prod_top : f ×ˢ (⊤ : Filter β) = f.comap Prod.fst := by dsimp only [SProd.sprod] rw [Filter.prod, comap_top, inf_top_eq] #align filter.prod_top Filter.prod_top theorem top_prod : (⊤ : Filter α) ×ˢ g = g.comap Prod.snd := by dsimp only [SProd.sprod] rw [Filter.prod, comap_top, top_inf_eq] theorem sup_prod (f₁ f₂ : Filter α) (g : Filter β) : (f₁ ⊔ f₂) ×ˢ g = (f₁ ×ˢ g) ⊔ (f₂ ×ˢ g) := by dsimp only [SProd.sprod] rw [Filter.prod, comap_sup, inf_sup_right, ← Filter.prod, ← Filter.prod] #align filter.sup_prod Filter.sup_prod
Mathlib/Order/Filter/Prod.lean
126
128
theorem prod_sup (f : Filter α) (g₁ g₂ : Filter β) : f ×ˢ (g₁ ⊔ g₂) = (f ×ˢ g₁) ⊔ (f ×ˢ g₂) := by dsimp only [SProd.sprod]
dsimp only [SProd.sprod] rw [Filter.prod, comap_sup, inf_sup_left, ← Filter.prod, ← Filter.prod]
true
import Mathlib.Topology.Semicontinuous import Mathlib.MeasureTheory.Function.AEMeasurableSequence import Mathlib.MeasureTheory.Order.Lattice import Mathlib.Topology.Order.Lattice import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Filter MeasureTheory MeasurableSpace TopologicalSpace open scoped Classical Topology NNReal ENNReal MeasureTheory universe u v w x y variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α} section OrderTopology variable (α) variable [TopologicalSpace α] [SecondCountableTopology α] [LinearOrder α] [OrderTopology α]
Mathlib/MeasureTheory/Constructions/BorelSpace/Order.lean
54
74
theorem borel_eq_generateFrom_Iio : borel α = .generateFrom (range Iio) := by refine le_antisymm ?_ (generateFrom_le ?_)
refine le_antisymm ?_ (generateFrom_le ?_) · rw [borel_eq_generateFrom_of_subbasis (@OrderTopology.topology_eq_generate_intervals α _ _ _)] letI : MeasurableSpace α := MeasurableSpace.generateFrom (range Iio) have H : ∀ a : α, MeasurableSet (Iio a) := fun a => GenerateMeasurable.basic _ ⟨_, rfl⟩ refine generateFrom_le ?_ rintro _ ⟨a, rfl | rfl⟩ · rcases em (∃ b, a ⋖ b) with ⟨b, hb⟩ | hcovBy · rw [hb.Ioi_eq, ← compl_Iio] exact (H _).compl · rcases isOpen_biUnion_countable (Ioi a) Ioi fun _ _ ↦ isOpen_Ioi with ⟨t, hat, htc, htU⟩ have : Ioi a = ⋃ b ∈ t, Ici b := by refine Subset.antisymm ?_ <| iUnion₂_subset fun b hb ↦ Ici_subset_Ioi.2 (hat hb) refine Subset.trans ?_ <| iUnion₂_mono fun _ _ ↦ Ioi_subset_Ici_self simpa [CovBy, htU, subset_def] using hcovBy simp only [this, ← compl_Iio] exact .biUnion htc <| fun _ _ ↦ (H _).compl · apply H · rw [forall_mem_range] intro a exact GenerateMeasurable.basic _ isOpen_Iio
true
import Mathlib.Algebra.Module.Equiv import Mathlib.Algebra.Module.Hom import Mathlib.Algebra.Module.Prod import Mathlib.Algebra.Module.Submodule.Range import Mathlib.Data.Set.Finite import Mathlib.Order.ConditionallyCompleteLattice.Basic import Mathlib.Tactic.Abel #align_import linear_algebra.basic from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" open Function open Pointwise variable {R : Type*} {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} {R₄ : Type*} variable {S : Type*} variable {K : Type*} {K₂ : Type*} variable {M : Type*} {M' : Type*} {M₁ : Type*} {M₂ : Type*} {M₃ : Type*} {M₄ : Type*} variable {N : Type*} {N₂ : Type*} variable {ι : Type*} variable {V : Type*} {V₂ : Type*} namespace IsLinearMap
Mathlib/LinearAlgebra/Basic.lean
73
80
theorem isLinearMap_add [Semiring R] [AddCommMonoid M] [Module R M] : IsLinearMap R fun x : M × M => x.1 + x.2 := by apply IsLinearMap.mk
apply IsLinearMap.mk · intro x y simp only [Prod.fst_add, Prod.snd_add] abel -- Porting Note: was cc · intro x y simp [smul_add]
true
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic import Mathlib.RingTheory.GradedAlgebra.Basic #align_import linear_algebra.exterior_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0" namespace ExteriorAlgebra variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable (R M) open scoped DirectSum -- Porting note: protected protected def GradedAlgebra.ι : M →ₗ[R] ⨁ i : ℕ, ⋀[R]^i M := DirectSum.lof R ℕ (fun i => ⋀[R]^i M) 1 ∘ₗ (ι R).codRestrict _ fun m => by simpa only [pow_one] using LinearMap.mem_range_self _ m #align exterior_algebra.graded_algebra.ι ExteriorAlgebra.GradedAlgebra.ι theorem GradedAlgebra.ι_apply (m : M) : GradedAlgebra.ι R M m = DirectSum.of (fun i : ℕ => ⋀[R]^i M) 1 ⟨ι R m, by simpa only [pow_one] using LinearMap.mem_range_self _ m⟩ := rfl #align exterior_algebra.graded_algebra.ι_apply ExteriorAlgebra.GradedAlgebra.ι_apply -- Defining this instance manually, because Lean doesn't seem to be able to synthesize it. -- Strangely, this problem only appears when we use the abbreviation or notation for the -- exterior powers. instance : SetLike.GradedMonoid fun i : ℕ ↦ ⋀[R]^i M := Submodule.nat_power_gradedMonoid (LinearMap.range (ι R : M →ₗ[R] ExteriorAlgebra R M)) -- Porting note: Lean needs to be reminded of this instance otherwise it cannot -- synthesize 0 in the next theorem attribute [local instance 1100] MulZeroClass.toZero in
Mathlib/LinearAlgebra/ExteriorAlgebra/Grading.lean
52
54
theorem GradedAlgebra.ι_sq_zero (m : M) : GradedAlgebra.ι R M m * GradedAlgebra.ι R M m = 0 := by rw [GradedAlgebra.ι_apply, DirectSum.of_mul_of]
rw [GradedAlgebra.ι_apply, DirectSum.of_mul_of] exact DFinsupp.single_eq_zero.mpr (Subtype.ext <| ExteriorAlgebra.ι_sq_zero _)
true
import Mathlib.Algebra.Polynomial.Div import Mathlib.RingTheory.Polynomial.Basic import Mathlib.RingTheory.Ideal.QuotientOperations #align_import ring_theory.polynomial.quotient from "leanprover-community/mathlib"@"4f840b8d28320b20c87db17b3a6eef3d325fca87" set_option linter.uppercaseLean3 false open Polynomial namespace MvPolynomial variable {R : Type*} {σ : Type*} [CommRing R] {r : R} theorem quotient_map_C_eq_zero {I : Ideal R} {i : R} (hi : i ∈ I) : (Ideal.Quotient.mk (Ideal.map (C : R →+* MvPolynomial σ R) I : Ideal (MvPolynomial σ R))).comp C i = 0 := by simp only [Function.comp_apply, RingHom.coe_comp, Ideal.Quotient.eq_zero_iff_mem] exact Ideal.mem_map_of_mem _ hi #align mv_polynomial.quotient_map_C_eq_zero MvPolynomial.quotient_map_C_eq_zero
Mathlib/RingTheory/Polynomial/Quotient.lean
212
223
theorem eval₂_C_mk_eq_zero {I : Ideal R} {a : MvPolynomial σ R} (ha : a ∈ (Ideal.map (C : R →+* MvPolynomial σ R) I : Ideal (MvPolynomial σ R))) : eval₂Hom (C.comp (Ideal.Quotient.mk I)) X a = 0 := by rw [as_sum a]
rw [as_sum a] rw [coe_eval₂Hom, eval₂_sum] refine Finset.sum_eq_zero fun n _ => ?_ simp only [eval₂_monomial, Function.comp_apply, RingHom.coe_comp] refine mul_eq_zero_of_left ?_ _ suffices coeff n a ∈ I by rw [← @Ideal.mk_ker R _ I, RingHom.mem_ker] at this simp only [this, C_0] exact mem_map_C_iff.1 ha n
true
import Mathlib.Algebra.Group.Commutator import Mathlib.Algebra.Group.Subgroup.Finite import Mathlib.Data.Bracket import Mathlib.GroupTheory.Subgroup.Centralizer import Mathlib.Tactic.Group #align_import group_theory.commutator from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" variable {G G' F : Type*} [Group G] [Group G'] [FunLike F G G'] [MonoidHomClass F G G'] variable (f : F) {g₁ g₂ g₃ g : G}
Mathlib/GroupTheory/Commutator.lean
31
32
theorem commutatorElement_eq_one_iff_mul_comm : ⁅g₁, g₂⁆ = 1 ↔ g₁ * g₂ = g₂ * g₁ := by
rw [commutatorElement_def, mul_inv_eq_one, mul_inv_eq_iff_eq_mul]
true
import Mathlib.Data.Finset.Fold import Mathlib.Algebra.GCDMonoid.Multiset #align_import algebra.gcd_monoid.finset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" #align_import algebra.gcd_monoid.div from "leanprover-community/mathlib"@"b537794f8409bc9598febb79cd510b1df5f4539d" variable {ι α β γ : Type*} namespace Finset open Multiset variable [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α] section lcm def lcm (s : Finset β) (f : β → α) : α := s.fold GCDMonoid.lcm 1 f #align finset.lcm Finset.lcm variable {s s₁ s₂ : Finset β} {f : β → α} theorem lcm_def : s.lcm f = (s.1.map f).lcm := rfl #align finset.lcm_def Finset.lcm_def @[simp] theorem lcm_empty : (∅ : Finset β).lcm f = 1 := fold_empty #align finset.lcm_empty Finset.lcm_empty @[simp] theorem lcm_dvd_iff {a : α} : s.lcm f ∣ a ↔ ∀ b ∈ s, f b ∣ a := by apply Iff.trans Multiset.lcm_dvd simp only [Multiset.mem_map, and_imp, exists_imp] exact ⟨fun k b hb ↦ k _ _ hb rfl, fun k a' b hb h ↦ h ▸ k _ hb⟩ #align finset.lcm_dvd_iff Finset.lcm_dvd_iff theorem lcm_dvd {a : α} : (∀ b ∈ s, f b ∣ a) → s.lcm f ∣ a := lcm_dvd_iff.2 #align finset.lcm_dvd Finset.lcm_dvd theorem dvd_lcm {b : β} (hb : b ∈ s) : f b ∣ s.lcm f := lcm_dvd_iff.1 dvd_rfl _ hb #align finset.dvd_lcm Finset.dvd_lcm @[simp] theorem lcm_insert [DecidableEq β] {b : β} : (insert b s : Finset β).lcm f = GCDMonoid.lcm (f b) (s.lcm f) := by by_cases h : b ∈ s · rw [insert_eq_of_mem h, (lcm_eq_right_iff (f b) (s.lcm f) (Multiset.normalize_lcm (s.1.map f))).2 (dvd_lcm h)] apply fold_insert h #align finset.lcm_insert Finset.lcm_insert @[simp] theorem lcm_singleton {b : β} : ({b} : Finset β).lcm f = normalize (f b) := Multiset.lcm_singleton #align finset.lcm_singleton Finset.lcm_singleton -- Porting note: Priority changed for `simpNF` @[simp 1100]
Mathlib/Algebra/GCDMonoid/Finset.lean
92
92
theorem normalize_lcm : normalize (s.lcm f) = s.lcm f := by
simp [lcm_def]
true
import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic #align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "J" => o.rightAngleRotation def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V := LinearMap.isometryOfInner (Real.Angle.cos θ • LinearMap.id + Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by intro x y simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply, LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv, Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left, Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left, inner_add_right, inner_smul_right] linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq) #align orientation.rotation_aux Orientation.rotationAux @[simp] theorem rotationAux_apply (θ : Real.Angle) (x : V) : o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_aux_apply Orientation.rotationAux_apply def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V := LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ) (Real.Angle.cos θ • LinearMap.id - Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul, smul_add, smul_neg, smul_sub, mul_comm, sq] abel · simp) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, add_smul, smul_neg, smul_sub, smul_smul] ring_nf abel · simp) #align orientation.rotation Orientation.rotation theorem rotation_apply (θ : Real.Angle) (x : V) : o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_apply Orientation.rotation_apply theorem rotation_symm_apply (θ : Real.Angle) (x : V) : (o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x := rfl #align orientation.rotation_symm_apply Orientation.rotation_symm_apply theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) : (o.rotation θ).toLinearMap = Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx) !![θ.cos, -θ.sin; θ.sin, θ.cos] := by apply (o.basisRightAngleRotation x hx).ext intro i fin_cases i · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ] · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ, add_comm] #align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin @[simp] theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) rw [o.rotation_eq_matrix_toLin θ hx] simpa [sq] using θ.cos_sq_add_sin_sq #align orientation.det_rotation Orientation.det_rotation @[simp] theorem linearEquiv_det_rotation (θ : Real.Angle) : LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 := Units.ext <| by -- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite -- in mathlib3 this was just `units.ext <| o.det_rotation θ` simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ #align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation @[simp] theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg] #align orientation.rotation_symm Orientation.rotation_symm @[simp] theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation] #align orientation.rotation_zero Orientation.rotation_zero @[simp] theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by ext x simp [rotation] #align orientation.rotation_pi Orientation.rotation_pi
Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean
151
151
theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by
simp
true
import Mathlib.Algebra.MvPolynomial.Counit import Mathlib.Algebra.MvPolynomial.Invertible import Mathlib.RingTheory.WittVector.Defs #align_import ring_theory.witt_vector.basic from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a" noncomputable section open MvPolynomial Function variable {p : ℕ} {R S T : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] [CommRing T] variable {α : Type*} {β : Type*} local notation "𝕎" => WittVector p local notation "W_" => wittPolynomial p -- type as `\bbW` open scoped Witt namespace WittVector def mapFun (f : α → β) : 𝕎 α → 𝕎 β := fun x => mk _ (f ∘ x.coeff) #align witt_vector.map_fun WittVector.mapFun namespace mapFun -- Porting note: switched the proof to tactic mode. I think that `ext` was the issue.
Mathlib/RingTheory/WittVector/Basic.lean
73
76
theorem injective (f : α → β) (hf : Injective f) : Injective (mapFun f : 𝕎 α → 𝕎 β) := by intros _ _ h
intros _ _ h ext p exact hf (congr_arg (fun x => coeff x p) h : _)
true
import Mathlib.Topology.ContinuousOn #align_import topology.algebra.order.left_right from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Set Filter Topology section PartialOrder variable {α β : Type*} [TopologicalSpace α] [PartialOrder α] [TopologicalSpace β]
Mathlib/Topology/Order/LeftRight.lean
95
97
theorem continuousWithinAt_Ioi_iff_Ici {a : α} {f : α → β} : ContinuousWithinAt f (Ioi a) a ↔ ContinuousWithinAt f (Ici a) a := by
simp only [← Ici_diff_left, continuousWithinAt_diff_self]
true
import Mathlib.Topology.GDelta #align_import topology.metric_space.baire from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a" noncomputable section open scoped Topology open Filter Set TopologicalSpace variable {X α : Type*} {ι : Sort*} section BaireTheorem variable [TopologicalSpace X] [BaireSpace X] theorem dense_iInter_of_isOpen_nat {f : ℕ → Set X} (ho : ∀ n, IsOpen (f n)) (hd : ∀ n, Dense (f n)) : Dense (⋂ n, f n) := BaireSpace.baire_property f ho hd #align dense_Inter_of_open_nat dense_iInter_of_isOpen_nat theorem dense_sInter_of_isOpen {S : Set (Set X)} (ho : ∀ s ∈ S, IsOpen s) (hS : S.Countable) (hd : ∀ s ∈ S, Dense s) : Dense (⋂₀ S) := by rcases S.eq_empty_or_nonempty with h | h · simp [h] · rcases hS.exists_eq_range h with ⟨f, rfl⟩ exact dense_iInter_of_isOpen_nat (forall_mem_range.1 ho) (forall_mem_range.1 hd) #align dense_sInter_of_open dense_sInter_of_isOpen theorem dense_biInter_of_isOpen {S : Set α} {f : α → Set X} (ho : ∀ s ∈ S, IsOpen (f s)) (hS : S.Countable) (hd : ∀ s ∈ S, Dense (f s)) : Dense (⋂ s ∈ S, f s) := by rw [← sInter_image] refine dense_sInter_of_isOpen ?_ (hS.image _) ?_ <;> rwa [forall_mem_image] #align dense_bInter_of_open dense_biInter_of_isOpen theorem dense_iInter_of_isOpen [Countable ι] {f : ι → Set X} (ho : ∀ i, IsOpen (f i)) (hd : ∀ i, Dense (f i)) : Dense (⋂ s, f s) := dense_sInter_of_isOpen (forall_mem_range.2 ho) (countable_range _) (forall_mem_range.2 hd) #align dense_Inter_of_open dense_iInter_of_isOpen theorem mem_residual {s : Set X} : s ∈ residual X ↔ ∃ t ⊆ s, IsGδ t ∧ Dense t := by constructor · rw [mem_residual_iff] rintro ⟨S, hSo, hSd, Sct, Ss⟩ refine ⟨_, Ss, ⟨_, fun t ht => hSo _ ht, Sct, rfl⟩, ?_⟩ exact dense_sInter_of_isOpen hSo Sct hSd rintro ⟨t, ts, ho, hd⟩ exact mem_of_superset (residual_of_dense_Gδ ho hd) ts #align mem_residual mem_residual
Mathlib/Topology/Baire/Lemmas.lean
85
88
theorem eventually_residual {p : X → Prop} : (∀ᶠ x in residual X, p x) ↔ ∃ t : Set X, IsGδ t ∧ Dense t ∧ ∀ x ∈ t, p x := by simp only [Filter.Eventually, mem_residual, subset_def, mem_setOf_eq]
simp only [Filter.Eventually, mem_residual, subset_def, mem_setOf_eq] tauto
true
import Mathlib.RingTheory.Noetherian import Mathlib.Algebra.DirectSum.Module import Mathlib.Algebra.DirectSum.Finsupp import Mathlib.Algebra.Module.Projective import Mathlib.Algebra.Module.Injective import Mathlib.Algebra.Module.CharacterModule import Mathlib.LinearAlgebra.DirectSum.TensorProduct import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.Algebra.Module.Projective #align_import ring_theory.flat from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c" universe u v w namespace Module open Function (Surjective) open LinearMap Submodule TensorProduct DirectSum variable (R : Type u) (M : Type v) [CommRing R] [AddCommGroup M] [Module R M] @[mk_iff] class Flat : Prop where out : ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (TensorProduct.lift ((lsmul R M).comp I.subtype)) #align module.flat Module.Flat namespace Flat instance self (R : Type u) [CommRing R] : Flat R R := ⟨by intro I _ rw [← Equiv.injective_comp (TensorProduct.rid R I).symm.toEquiv] convert Subtype.coe_injective using 1 ext x simp only [Function.comp_apply, LinearEquiv.coe_toEquiv, rid_symm_apply, comp_apply, mul_one, lift.tmul, Submodule.subtype_apply, Algebra.id.smul_eq_mul, lsmul_apply]⟩ #align module.flat.self Module.Flat.self lemma iff_rTensor_injective : Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (rTensor M I.subtype) := by simp [flat_iff, ← lid_comp_rTensor] theorem iff_rTensor_injective' : Flat R M ↔ ∀ I : Ideal R, Function.Injective (rTensor M I.subtype) := by rewrite [Flat.iff_rTensor_injective] refine ⟨fun h I => ?_, fun h I _ => h I⟩ rewrite [injective_iff_map_eq_zero] intro x hx₀ obtain ⟨J, hfg, hle, y, rfl⟩ := Submodule.exists_fg_le_eq_rTensor_inclusion x rewrite [← rTensor_comp_apply] at hx₀ rw [(injective_iff_map_eq_zero _).mp (h hfg) y hx₀, LinearMap.map_zero] @[deprecated (since := "2024-03-29")] alias lTensor_inj_iff_rTensor_inj := LinearMap.lTensor_inj_iff_rTensor_inj theorem iff_lTensor_injective : Module.Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (lTensor M I.subtype) := by simpa [← comm_comp_rTensor_comp_comm_eq] using Module.Flat.iff_rTensor_injective R M
Mathlib/RingTheory/Flat/Basic.lean
117
119
theorem iff_lTensor_injective' : Module.Flat R M ↔ ∀ (I : Ideal R), Function.Injective (lTensor M I.subtype) := by
simpa [← comm_comp_rTensor_comp_comm_eq] using Module.Flat.iff_rTensor_injective' R M
true
import Mathlib.Data.Int.Cast.Defs import Mathlib.Tactic.Cases import Mathlib.Algebra.NeZero import Mathlib.Logic.Function.Basic #align_import algebra.char_zero.defs from "leanprover-community/mathlib"@"d6aae1bcbd04b8de2022b9b83a5b5b10e10c777d" class CharZero (R) [AddMonoidWithOne R] : Prop where cast_injective : Function.Injective (Nat.cast : ℕ → R) #align char_zero CharZero variable {R : Type*} theorem charZero_of_inj_zero [AddGroupWithOne R] (H : ∀ n : ℕ, (n : R) = 0 → n = 0) : CharZero R := ⟨@fun m n h => by induction' m with m ih generalizing n · rw [H n] rw [← h, Nat.cast_zero] cases' n with n · apply H rw [h, Nat.cast_zero] simp only [Nat.cast_succ, add_right_cancel_iff] at h rwa [ih]⟩ #align char_zero_of_inj_zero charZero_of_inj_zero namespace Nat variable [AddMonoidWithOne R] [CharZero R] theorem cast_injective : Function.Injective (Nat.cast : ℕ → R) := CharZero.cast_injective #align nat.cast_injective Nat.cast_injective @[simp, norm_cast] theorem cast_inj {m n : ℕ} : (m : R) = n ↔ m = n := cast_injective.eq_iff #align nat.cast_inj Nat.cast_inj @[simp, norm_cast] theorem cast_eq_zero {n : ℕ} : (n : R) = 0 ↔ n = 0 := by rw [← cast_zero, cast_inj] #align nat.cast_eq_zero Nat.cast_eq_zero @[norm_cast] theorem cast_ne_zero {n : ℕ} : (n : R) ≠ 0 ↔ n ≠ 0 := not_congr cast_eq_zero #align nat.cast_ne_zero Nat.cast_ne_zero theorem cast_add_one_ne_zero (n : ℕ) : (n + 1 : R) ≠ 0 := mod_cast n.succ_ne_zero #align nat.cast_add_one_ne_zero Nat.cast_add_one_ne_zero @[simp, norm_cast]
Mathlib/Algebra/CharZero/Defs.lean
92
92
theorem cast_eq_one {n : ℕ} : (n : R) = 1 ↔ n = 1 := by
rw [← cast_one, cast_inj]
true
import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Limits.HasLimits #align_import category_theory.limits.shapes.equalizers from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba" section open CategoryTheory Opposite namespace CategoryTheory.Limits -- attribute [local tidy] tactic.case_bash -- Porting note: no tidy nor cases_bash universe v v₂ u u₂ inductive WalkingParallelPair : Type | zero | one deriving DecidableEq, Inhabited #align category_theory.limits.walking_parallel_pair CategoryTheory.Limits.WalkingParallelPair open WalkingParallelPair inductive WalkingParallelPairHom : WalkingParallelPair → WalkingParallelPair → Type | left : WalkingParallelPairHom zero one | right : WalkingParallelPairHom zero one | id (X : WalkingParallelPair) : WalkingParallelPairHom X X deriving DecidableEq #align category_theory.limits.walking_parallel_pair_hom CategoryTheory.Limits.WalkingParallelPairHom attribute [-simp, nolint simpNF] WalkingParallelPairHom.id.sizeOf_spec instance : Inhabited (WalkingParallelPairHom zero one) where default := WalkingParallelPairHom.left open WalkingParallelPairHom def WalkingParallelPairHom.comp : -- Porting note: changed X Y Z to implicit to match comp fields in precategory ∀ { X Y Z : WalkingParallelPair } (_ : WalkingParallelPairHom X Y) (_ : WalkingParallelPairHom Y Z), WalkingParallelPairHom X Z | _, _, _, id _, h => h | _, _, _, left, id one => left | _, _, _, right, id one => right #align category_theory.limits.walking_parallel_pair_hom.comp CategoryTheory.Limits.WalkingParallelPairHom.comp -- Porting note: adding these since they are simple and aesop couldn't directly prove them theorem WalkingParallelPairHom.id_comp {X Y : WalkingParallelPair} (g : WalkingParallelPairHom X Y) : comp (id X) g = g := rfl theorem WalkingParallelPairHom.comp_id {X Y : WalkingParallelPair} (f : WalkingParallelPairHom X Y) : comp f (id Y) = f := by cases f <;> rfl theorem WalkingParallelPairHom.assoc {X Y Z W : WalkingParallelPair} (f : WalkingParallelPairHom X Y) (g: WalkingParallelPairHom Y Z) (h : WalkingParallelPairHom Z W) : comp (comp f g) h = comp f (comp g h) := by cases f <;> cases g <;> cases h <;> rfl instance walkingParallelPairHomCategory : SmallCategory WalkingParallelPair where Hom := WalkingParallelPairHom id := id comp := comp comp_id := comp_id id_comp := id_comp assoc := assoc #align category_theory.limits.walking_parallel_pair_hom_category CategoryTheory.Limits.walkingParallelPairHomCategory @[simp] theorem walkingParallelPairHom_id (X : WalkingParallelPair) : WalkingParallelPairHom.id X = 𝟙 X := rfl #align category_theory.limits.walking_parallel_pair_hom_id CategoryTheory.Limits.walkingParallelPairHom_id -- Porting note: simpNF asked me to do this because the LHS of the non-primed version reduced @[simp]
Mathlib/CategoryTheory/Limits/Shapes/Equalizers.lean
126
127
theorem WalkingParallelPairHom.id.sizeOf_spec' (X : WalkingParallelPair) : (WalkingParallelPairHom._sizeOf_inst X X).sizeOf (𝟙 X) = 1 + sizeOf X := by
cases X <;> rfl
true
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section HeytingAlgebra variable [HeytingAlgebra α] (a : α) @[simp] theorem bihimp_bot : a ⇔ ⊥ = aᶜ := by simp [bihimp] #align bihimp_bot bihimp_bot @[simp]
Mathlib/Order/SymmDiff.lean
375
375
theorem bot_bihimp : ⊥ ⇔ a = aᶜ := by
simp [bihimp]
true
import Mathlib.Probability.IdentDistrib import Mathlib.MeasureTheory.Integral.DominatedConvergence import Mathlib.Analysis.SpecificLimits.FloorPow import Mathlib.Analysis.PSeries import Mathlib.Analysis.Asymptotics.SpecificAsymptotics #align_import probability.strong_law from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open MeasureTheory Filter Finset Asymptotics open Set (indicator) open scoped Topology MeasureTheory ProbabilityTheory ENNReal NNReal namespace ProbabilityTheory section Truncation variable {α : Type*} def truncation (f : α → ℝ) (A : ℝ) := indicator (Set.Ioc (-A) A) id ∘ f #align probability_theory.truncation ProbabilityTheory.truncation variable {m : MeasurableSpace α} {μ : Measure α} {f : α → ℝ}
Mathlib/Probability/StrongLaw.lean
82
85
theorem _root_.MeasureTheory.AEStronglyMeasurable.truncation (hf : AEStronglyMeasurable f μ) {A : ℝ} : AEStronglyMeasurable (truncation f A) μ := by apply AEStronglyMeasurable.comp_aemeasurable _ hf.aemeasurable
apply AEStronglyMeasurable.comp_aemeasurable _ hf.aemeasurable exact (stronglyMeasurable_id.indicator measurableSet_Ioc).aestronglyMeasurable
true
import Mathlib.Algebra.Group.Opposite import Mathlib.Algebra.Group.Units.Hom #align_import algebra.group.prod from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d" assert_not_exists MonoidWithZero -- TODO: -- assert_not_exists AddMonoidWithOne assert_not_exists DenselyOrdered variable {A : Type*} {B : Type*} {G : Type*} {H : Type*} {M : Type*} {N : Type*} {P : Type*} namespace Prod @[to_additive] instance instMul [Mul M] [Mul N] : Mul (M × N) := ⟨fun p q => ⟨p.1 * q.1, p.2 * q.2⟩⟩ @[to_additive (attr := simp)] theorem fst_mul [Mul M] [Mul N] (p q : M × N) : (p * q).1 = p.1 * q.1 := rfl #align prod.fst_mul Prod.fst_mul #align prod.fst_add Prod.fst_add @[to_additive (attr := simp)] theorem snd_mul [Mul M] [Mul N] (p q : M × N) : (p * q).2 = p.2 * q.2 := rfl #align prod.snd_mul Prod.snd_mul #align prod.snd_add Prod.snd_add @[to_additive (attr := simp)] theorem mk_mul_mk [Mul M] [Mul N] (a₁ a₂ : M) (b₁ b₂ : N) : (a₁, b₁) * (a₂, b₂) = (a₁ * a₂, b₁ * b₂) := rfl #align prod.mk_mul_mk Prod.mk_mul_mk #align prod.mk_add_mk Prod.mk_add_mk @[to_additive (attr := simp)] theorem swap_mul [Mul M] [Mul N] (p q : M × N) : (p * q).swap = p.swap * q.swap := rfl #align prod.swap_mul Prod.swap_mul #align prod.swap_add Prod.swap_add @[to_additive] theorem mul_def [Mul M] [Mul N] (p q : M × N) : p * q = (p.1 * q.1, p.2 * q.2) := rfl #align prod.mul_def Prod.mul_def #align prod.add_def Prod.add_def @[to_additive]
Mathlib/Algebra/Group/Prod.lean
79
81
theorem one_mk_mul_one_mk [Monoid M] [Mul N] (b₁ b₂ : N) : ((1 : M), b₁) * (1, b₂) = (1, b₁ * b₂) := by
rw [mk_mul_mk, mul_one]
true
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}
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
456
463
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]
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
true
import Mathlib.Algebra.CharP.ExpChar import Mathlib.RingTheory.Nilpotent.Defs #align_import algebra.char_p.basic from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47" open Finset section variable (R : Type*) [CommRing R] [IsReduced R] (p n : ℕ) [ExpChar R p] theorem iterateFrobenius_inj : Function.Injective (iterateFrobenius R p n) := fun x y H ↦ by rw [← sub_eq_zero] at H ⊢ simp_rw [iterateFrobenius_def, ← sub_pow_expChar_pow] at H exact IsReduced.eq_zero _ ⟨_, H⟩ theorem frobenius_inj : Function.Injective (frobenius R p) := iterateFrobenius_one (R := R) p ▸ iterateFrobenius_inj R p 1 #align frobenius_inj frobenius_inj end theorem isSquare_of_charTwo' {R : Type*} [Finite R] [CommRing R] [IsReduced R] [CharP R 2] (a : R) : IsSquare a := by cases nonempty_fintype R exact Exists.imp (fun b h => pow_two b ▸ Eq.symm h) (((Fintype.bijective_iff_injective_and_card _).mpr ⟨frobenius_inj R 2, rfl⟩).surjective a) #align is_square_of_char_two' isSquare_of_charTwo' variable {R : Type*} [CommRing R] [IsReduced R] @[simp]
Mathlib/Algebra/CharP/Reduced.lean
46
50
theorem ExpChar.pow_prime_pow_mul_eq_one_iff (p k m : ℕ) [ExpChar R p] (x : R) : x ^ (p ^ k * m) = 1 ↔ x ^ m = 1 := by rw [pow_mul']
rw [pow_mul'] convert ← (iterateFrobenius_inj R p k).eq_iff apply map_one
true
import Mathlib.Data.Set.Image import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.with_bot_top from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" open Set variable {α : Type*} namespace WithTop @[simp] theorem preimage_coe_top : (some : α → WithTop α) ⁻¹' {⊤} = (∅ : Set α) := eq_empty_of_subset_empty fun _ => coe_ne_top #align with_top.preimage_coe_top WithTop.preimage_coe_top variable [Preorder α] {a b : α} theorem range_coe : range (some : α → WithTop α) = Iio ⊤ := by ext x rw [mem_Iio, WithTop.lt_top_iff_ne_top, mem_range, ne_top_iff_exists] #align with_top.range_coe WithTop.range_coe @[simp] theorem preimage_coe_Ioi : (some : α → WithTop α) ⁻¹' Ioi a = Ioi a := ext fun _ => coe_lt_coe #align with_top.preimage_coe_Ioi WithTop.preimage_coe_Ioi @[simp] theorem preimage_coe_Ici : (some : α → WithTop α) ⁻¹' Ici a = Ici a := ext fun _ => coe_le_coe #align with_top.preimage_coe_Ici WithTop.preimage_coe_Ici @[simp] theorem preimage_coe_Iio : (some : α → WithTop α) ⁻¹' Iio a = Iio a := ext fun _ => coe_lt_coe #align with_top.preimage_coe_Iio WithTop.preimage_coe_Iio @[simp] theorem preimage_coe_Iic : (some : α → WithTop α) ⁻¹' Iic a = Iic a := ext fun _ => coe_le_coe #align with_top.preimage_coe_Iic WithTop.preimage_coe_Iic @[simp] theorem preimage_coe_Icc : (some : α → WithTop α) ⁻¹' Icc a b = Icc a b := by simp [← Ici_inter_Iic] #align with_top.preimage_coe_Icc WithTop.preimage_coe_Icc @[simp] theorem preimage_coe_Ico : (some : α → WithTop α) ⁻¹' Ico a b = Ico a b := by simp [← Ici_inter_Iio] #align with_top.preimage_coe_Ico WithTop.preimage_coe_Ico @[simp] theorem preimage_coe_Ioc : (some : α → WithTop α) ⁻¹' Ioc a b = Ioc a b := by simp [← Ioi_inter_Iic] #align with_top.preimage_coe_Ioc WithTop.preimage_coe_Ioc @[simp] theorem preimage_coe_Ioo : (some : α → WithTop α) ⁻¹' Ioo a b = Ioo a b := by simp [← Ioi_inter_Iio] #align with_top.preimage_coe_Ioo WithTop.preimage_coe_Ioo @[simp] theorem preimage_coe_Iio_top : (some : α → WithTop α) ⁻¹' Iio ⊤ = univ := by rw [← range_coe, preimage_range] #align with_top.preimage_coe_Iio_top WithTop.preimage_coe_Iio_top @[simp] theorem preimage_coe_Ico_top : (some : α → WithTop α) ⁻¹' Ico a ⊤ = Ici a := by simp [← Ici_inter_Iio] #align with_top.preimage_coe_Ico_top WithTop.preimage_coe_Ico_top @[simp]
Mathlib/Order/Interval/Set/WithBotTop.lean
85
86
theorem preimage_coe_Ioo_top : (some : α → WithTop α) ⁻¹' Ioo a ⊤ = Ioi a := by
simp [← Ioi_inter_Iio]
true
import Mathlib.Order.Atoms import Mathlib.Order.OrderIsoNat import Mathlib.Order.RelIso.Set import Mathlib.Order.SupClosed import Mathlib.Order.SupIndep import Mathlib.Order.Zorn import Mathlib.Data.Finset.Order import Mathlib.Order.Interval.Set.OrderIso import Mathlib.Data.Finite.Set import Mathlib.Tactic.TFAE #align_import order.compactly_generated from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f" open Set variable {ι : Sort*} {α : Type*} [CompleteLattice α] {f : ι → α} namespace CompleteLattice variable (α) def IsSupClosedCompact : Prop := ∀ (s : Set α) (_ : s.Nonempty), SupClosed s → sSup s ∈ s #align complete_lattice.is_sup_closed_compact CompleteLattice.IsSupClosedCompact def IsSupFiniteCompact : Prop := ∀ s : Set α, ∃ t : Finset α, ↑t ⊆ s ∧ sSup s = t.sup id #align complete_lattice.is_Sup_finite_compact CompleteLattice.IsSupFiniteCompact def IsCompactElement {α : Type*} [CompleteLattice α] (k : α) := ∀ s : Set α, k ≤ sSup s → ∃ t : Finset α, ↑t ⊆ s ∧ k ≤ t.sup id #align complete_lattice.is_compact_element CompleteLattice.IsCompactElement theorem isCompactElement_iff.{u} {α : Type u} [CompleteLattice α] (k : α) : CompleteLattice.IsCompactElement k ↔ ∀ (ι : Type u) (s : ι → α), k ≤ iSup s → ∃ t : Finset ι, k ≤ t.sup s := by classical constructor · intro H ι s hs obtain ⟨t, ht, ht'⟩ := H (Set.range s) hs have : ∀ x : t, ∃ i, s i = x := fun x => ht x.prop choose f hf using this refine ⟨Finset.univ.image f, ht'.trans ?_⟩ rw [Finset.sup_le_iff] intro b hb rw [← show s (f ⟨b, hb⟩) = id b from hf _] exact Finset.le_sup (Finset.mem_image_of_mem f <| Finset.mem_univ (Subtype.mk b hb)) · intro H s hs obtain ⟨t, ht⟩ := H s Subtype.val (by delta iSup rwa [Subtype.range_coe]) refine ⟨t.image Subtype.val, by simp, ht.trans ?_⟩ rw [Finset.sup_le_iff] exact fun x hx => @Finset.le_sup _ _ _ _ _ id _ (Finset.mem_image_of_mem Subtype.val hx) #align complete_lattice.is_compact_element_iff CompleteLattice.isCompactElement_iff theorem isCompactElement_iff_le_of_directed_sSup_le (k : α) : IsCompactElement k ↔ ∀ s : Set α, s.Nonempty → DirectedOn (· ≤ ·) s → k ≤ sSup s → ∃ x : α, x ∈ s ∧ k ≤ x := by classical constructor · intro hk s hne hdir hsup obtain ⟨t, ht⟩ := hk s hsup -- certainly every element of t is below something in s, since ↑t ⊆ s. have t_below_s : ∀ x ∈ t, ∃ y ∈ s, x ≤ y := fun x hxt => ⟨x, ht.left hxt, le_rfl⟩ obtain ⟨x, ⟨hxs, hsupx⟩⟩ := Finset.sup_le_of_le_directed s hne hdir t t_below_s exact ⟨x, ⟨hxs, le_trans ht.right hsupx⟩⟩ · intro hk s hsup -- Consider the set of finite joins of elements of the (plain) set s. let S : Set α := { x | ∃ t : Finset α, ↑t ⊆ s ∧ x = t.sup id } -- S is directed, nonempty, and still has sup above k. have dir_US : DirectedOn (· ≤ ·) S := by rintro x ⟨c, hc⟩ y ⟨d, hd⟩ use x ⊔ y constructor · use c ∪ d constructor · simp only [hc.left, hd.left, Set.union_subset_iff, Finset.coe_union, and_self_iff] · simp only [hc.right, hd.right, Finset.sup_union] simp only [and_self_iff, le_sup_left, le_sup_right] have sup_S : sSup s ≤ sSup S := by apply sSup_le_sSup intro x hx use {x} simpa only [and_true_iff, id, Finset.coe_singleton, eq_self_iff_true, Finset.sup_singleton, Set.singleton_subset_iff] have Sne : S.Nonempty := by suffices ⊥ ∈ S from Set.nonempty_of_mem this use ∅ simp only [Set.empty_subset, Finset.coe_empty, Finset.sup_empty, eq_self_iff_true, and_self_iff] -- Now apply the defn of compact and finish. obtain ⟨j, ⟨hjS, hjk⟩⟩ := hk S Sne dir_US (le_trans hsup sup_S) obtain ⟨t, ⟨htS, htsup⟩⟩ := hjS use t exact ⟨htS, by rwa [← htsup]⟩ #align complete_lattice.is_compact_element_iff_le_of_directed_Sup_le CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le
Mathlib/Order/CompactlyGenerated/Basic.lean
152
169
theorem IsCompactElement.exists_finset_of_le_iSup {k : α} (hk : IsCompactElement k) {ι : Type*} (f : ι → α) (h : k ≤ ⨆ i, f i) : ∃ s : Finset ι, k ≤ ⨆ i ∈ s, f i := by classical
classical let g : Finset ι → α := fun s => ⨆ i ∈ s, f i have h1 : DirectedOn (· ≤ ·) (Set.range g) := by rintro - ⟨s, rfl⟩ - ⟨t, rfl⟩ exact ⟨g (s ∪ t), ⟨s ∪ t, rfl⟩, iSup_le_iSup_of_subset Finset.subset_union_left, iSup_le_iSup_of_subset Finset.subset_union_right⟩ have h2 : k ≤ sSup (Set.range g) := h.trans (iSup_le fun i => le_sSup_of_le ⟨{i}, rfl⟩ (le_iSup_of_le i (le_iSup_of_le (Finset.mem_singleton_self i) le_rfl))) obtain ⟨-, ⟨s, rfl⟩, hs⟩ := (isCompactElement_iff_le_of_directed_sSup_le α k).mp hk (Set.range g) (Set.range_nonempty g) h1 h2 exact ⟨s, hs⟩
true
import Mathlib.Topology.MetricSpace.PseudoMetric #align_import topology.metric_space.basic from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Bornology open scoped NNReal Uniformity universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} variable [PseudoMetricSpace α] class MetricSpace (α : Type u) extends PseudoMetricSpace α : Type u where eq_of_dist_eq_zero : ∀ {x y : α}, dist x y = 0 → x = y #align metric_space MetricSpace @[ext] theorem MetricSpace.ext {α : Type*} {m m' : MetricSpace α} (h : m.toDist = m'.toDist) : m = m' := by cases m; cases m'; congr; ext1; assumption #align metric_space.ext MetricSpace.ext def MetricSpace.ofDistTopology {α : Type u} [TopologicalSpace α] (dist : α → α → ℝ) (dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x) (dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) (H : ∀ s : Set α, IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ∀ y, dist x y < ε → y ∈ s) (eq_of_dist_eq_zero : ∀ x y : α, dist x y = 0 → x = y) : MetricSpace α := { PseudoMetricSpace.ofDistTopology dist dist_self dist_comm dist_triangle H with eq_of_dist_eq_zero := eq_of_dist_eq_zero _ _ } #align metric_space.of_dist_topology MetricSpace.ofDistTopology variable {γ : Type w} [MetricSpace γ] theorem eq_of_dist_eq_zero {x y : γ} : dist x y = 0 → x = y := MetricSpace.eq_of_dist_eq_zero #align eq_of_dist_eq_zero eq_of_dist_eq_zero @[simp] theorem dist_eq_zero {x y : γ} : dist x y = 0 ↔ x = y := Iff.intro eq_of_dist_eq_zero fun this => this ▸ dist_self _ #align dist_eq_zero dist_eq_zero @[simp] theorem zero_eq_dist {x y : γ} : 0 = dist x y ↔ x = y := by rw [eq_comm, dist_eq_zero] #align zero_eq_dist zero_eq_dist theorem dist_ne_zero {x y : γ} : dist x y ≠ 0 ↔ x ≠ y := by simpa only [not_iff_not] using dist_eq_zero #align dist_ne_zero dist_ne_zero @[simp] theorem dist_le_zero {x y : γ} : dist x y ≤ 0 ↔ x = y := by simpa [le_antisymm_iff, dist_nonneg] using @dist_eq_zero _ _ x y #align dist_le_zero dist_le_zero @[simp] theorem dist_pos {x y : γ} : 0 < dist x y ↔ x ≠ y := by simpa only [not_le] using not_congr dist_le_zero #align dist_pos dist_pos theorem eq_of_forall_dist_le {x y : γ} (h : ∀ ε > 0, dist x y ≤ ε) : x = y := eq_of_dist_eq_zero (eq_of_le_of_forall_le_of_dense dist_nonneg h) #align eq_of_forall_dist_le eq_of_forall_dist_le theorem eq_of_nndist_eq_zero {x y : γ} : nndist x y = 0 → x = y := by simp only [← NNReal.eq_iff, ← dist_nndist, imp_self, NNReal.coe_zero, dist_eq_zero] #align eq_of_nndist_eq_zero eq_of_nndist_eq_zero @[simp] theorem nndist_eq_zero {x y : γ} : nndist x y = 0 ↔ x = y := by simp only [← NNReal.eq_iff, ← dist_nndist, imp_self, NNReal.coe_zero, dist_eq_zero] #align nndist_eq_zero nndist_eq_zero @[simp] theorem zero_eq_nndist {x y : γ} : 0 = nndist x y ↔ x = y := by simp only [← NNReal.eq_iff, ← dist_nndist, imp_self, NNReal.coe_zero, zero_eq_dist] #align zero_eq_nndist zero_eq_nndist namespace Metric variable {x : γ} {s : Set γ} @[simp] theorem closedBall_zero : closedBall x 0 = {x} := Set.ext fun _ => dist_le_zero #align metric.closed_ball_zero Metric.closedBall_zero @[simp] theorem sphere_zero : sphere x 0 = {x} := Set.ext fun _ => dist_eq_zero #align metric.sphere_zero Metric.sphere_zero
Mathlib/Topology/MetricSpace/Basic.lean
121
126
theorem subsingleton_closedBall (x : γ) {r : ℝ} (hr : r ≤ 0) : (closedBall x r).Subsingleton := by rcases hr.lt_or_eq with (hr | rfl)
rcases hr.lt_or_eq with (hr | rfl) · rw [closedBall_eq_empty.2 hr] exact subsingleton_empty · rw [closedBall_zero] exact subsingleton_singleton
true
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.SpecialFunctions.Complex.Arg #align_import analysis.complex.arg from "leanprover-community/mathlib"@"45a46f4f03f8ae41491bf3605e8e0e363ba192fd" variable {x y : ℂ} namespace Complex
Mathlib/Analysis/Complex/Arg.lean
31
38
theorem sameRay_iff : SameRay ℝ x y ↔ x = 0 ∨ y = 0 ∨ x.arg = y.arg := by rcases eq_or_ne x 0 with (rfl | hx)
rcases eq_or_ne x 0 with (rfl | hx) · simp rcases eq_or_ne y 0 with (rfl | hy) · simp simp only [hx, hy, false_or_iff, sameRay_iff_norm_smul_eq, arg_eq_arg_iff hx hy] field_simp [hx, hy] rw [mul_comm, eq_comm]
true
import Mathlib.MeasureTheory.PiSystem import Mathlib.Order.OmegaCompletePartialOrder import Mathlib.Topology.Constructions import Mathlib.MeasureTheory.MeasurableSpace.Basic open Set namespace MeasureTheory variable {ι : Type _} {α : ι → Type _} section cylinder def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) := (fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S @[simp] theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) : f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S := mem_preimage @[simp] theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by rw [cylinder, preimage_empty] @[simp] theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by rw [cylinder, preimage_univ] @[simp] theorem cylinder_eq_empty_iff [h_nonempty : Nonempty (∀ i, α i)] (s : Finset ι) (S : Set (∀ i : s, α i)) : cylinder s S = ∅ ↔ S = ∅ := by refine ⟨fun h ↦ ?_, fun h ↦ by (rw [h]; exact cylinder_empty _)⟩ by_contra hS rw [← Ne, ← nonempty_iff_ne_empty] at hS let f := hS.some have hf : f ∈ S := hS.choose_spec classical let f' : ∀ i, α i := fun i ↦ if hi : i ∈ s then f ⟨i, hi⟩ else h_nonempty.some i have hf' : f' ∈ cylinder s S := by rw [mem_cylinder] simpa only [f', Finset.coe_mem, dif_pos] rw [h] at hf' exact not_mem_empty _ hf' theorem inter_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∩ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∩ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by ext1 f; simp only [mem_inter_iff, mem_cylinder, mem_setOf_eq]; rfl theorem inter_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) : cylinder s S₁ ∩ cylinder s S₂ = cylinder s (S₁ ∩ S₂) := by classical rw [inter_cylinder]; rfl theorem union_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∪ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∪ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by ext1 f; simp only [mem_union, mem_cylinder, mem_setOf_eq]; rfl theorem union_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) : cylinder s S₁ ∪ cylinder s S₂ = cylinder s (S₁ ∪ S₂) := by classical rw [union_cylinder]; rfl theorem compl_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : (cylinder s S)ᶜ = cylinder s (Sᶜ) := by ext1 f; simp only [mem_compl_iff, mem_cylinder] theorem diff_cylinder_same (s : Finset ι) (S T : Set (∀ i : s, α i)) : cylinder s S \ cylinder s T = cylinder s (S \ T) := by ext1 f; simp only [mem_diff, mem_cylinder] theorem eq_of_cylinder_eq_of_subset [h_nonempty : Nonempty (∀ i, α i)] {I J : Finset ι} {S : Set (∀ i : I, α i)} {T : Set (∀ i : J, α i)} (h_eq : cylinder I S = cylinder J T) (hJI : J ⊆ I) : S = (fun f : ∀ i : I, α i ↦ fun j : J ↦ f ⟨j, hJI j.prop⟩) ⁻¹' T := by rw [Set.ext_iff] at h_eq simp only [mem_cylinder] at h_eq ext1 f simp only [mem_preimage] classical specialize h_eq fun i ↦ if hi : i ∈ I then f ⟨i, hi⟩ else h_nonempty.some i have h_mem : ∀ j : J, ↑j ∈ I := fun j ↦ hJI j.prop simp only [Finset.coe_mem, dite_true, h_mem] at h_eq exact h_eq
Mathlib/MeasureTheory/Constructions/Cylinders.lean
231
235
theorem cylinder_eq_cylinder_union [DecidableEq ι] (I : Finset ι) (S : Set (∀ i : I, α i)) (J : Finset ι) : cylinder I S = cylinder (I ∪ J) ((fun f ↦ fun j : I ↦ f ⟨j, Finset.mem_union_left J j.prop⟩) ⁻¹' S) := by
ext1 f; simp only [mem_cylinder, mem_preimage]
true
import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Analysis.SumOverResidueClass #align_import analysis.p_series from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" def SuccDiffBounded (C : ℕ) (u : ℕ → ℕ) : Prop := ∀ n : ℕ, u (n + 2) - u (n + 1) ≤ C • (u (n + 1) - u n) namespace Finset variable {M : Type*} [OrderedAddCommMonoid M] {f : ℕ → M} {u : ℕ → ℕ} theorem le_sum_schlomilch' (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (h_pos : ∀ n, 0 < u n) (hu : Monotone u) (n : ℕ) : (∑ k ∈ Ico (u 0) (u n), f k) ≤ ∑ k ∈ range n, (u (k + 1) - u k) • f (u k) := by induction' n with n ihn · simp suffices (∑ k ∈ Ico (u n) (u (n + 1)), f k) ≤ (u (n + 1) - u n) • f (u n) by rw [sum_range_succ, ← sum_Ico_consecutive] · exact add_le_add ihn this exacts [hu n.zero_le, hu n.le_succ] have : ∀ k ∈ Ico (u n) (u (n + 1)), f k ≤ f (u n) := fun k hk => hf (Nat.succ_le_of_lt (h_pos n)) (mem_Ico.mp hk).1 convert sum_le_sum this simp [pow_succ, mul_two] theorem le_sum_condensed' (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (n : ℕ) : (∑ k ∈ Ico 1 (2 ^ n), f k) ≤ ∑ k ∈ range n, 2 ^ k • f (2 ^ k) := by convert le_sum_schlomilch' hf (fun n => pow_pos zero_lt_two n) (fun m n hm => pow_le_pow_right one_le_two hm) n using 2 simp [pow_succ, mul_two, two_mul] #align finset.le_sum_condensed' Finset.le_sum_condensed'
Mathlib/Analysis/PSeries.lean
71
76
theorem le_sum_schlomilch (hf : ∀ ⦃m n⦄, 0 < m → m ≤ n → f n ≤ f m) (h_pos : ∀ n, 0 < u n) (hu : Monotone u) (n : ℕ) : (∑ k ∈ range (u n), f k) ≤ ∑ k ∈ range (u 0), f k + ∑ k ∈ range n, (u (k + 1) - u k) • f (u k) := by convert add_le_add_left (le_sum_schlomilch' hf h_pos hu n) (∑ k ∈ range (u 0), f k)
convert add_le_add_left (le_sum_schlomilch' hf h_pos hu n) (∑ k ∈ range (u 0), f k) rw [← sum_range_add_sum_Ico _ (hu n.zero_le)]
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Finset.Sort import Mathlib.Data.Set.Subsingleton #align_import combinatorics.composition from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" open List variable {n : ℕ} @[ext] structure Composition (n : ℕ) where blocks : List ℕ blocks_pos : ∀ {i}, i ∈ blocks → 0 < i blocks_sum : blocks.sum = n #align composition Composition @[ext] structure CompositionAsSet (n : ℕ) where boundaries : Finset (Fin n.succ) zero_mem : (0 : Fin n.succ) ∈ boundaries getLast_mem : Fin.last n ∈ boundaries #align composition_as_set CompositionAsSet instance {n : ℕ} : Inhabited (CompositionAsSet n) := ⟨⟨Finset.univ, Finset.mem_univ _, Finset.mem_univ _⟩⟩ def compositionAsSetEquiv (n : ℕ) : CompositionAsSet n ≃ Finset (Fin (n - 1)) where toFun c := { i : Fin (n - 1) | (⟨1 + (i : ℕ), by apply (add_lt_add_left i.is_lt 1).trans_le rw [Nat.succ_eq_add_one, add_comm] exact add_le_add (Nat.sub_le n 1) (le_refl 1)⟩ : Fin n.succ) ∈ c.boundaries }.toFinset invFun s := { boundaries := { i : Fin n.succ | i = 0 ∨ i = Fin.last n ∨ ∃ (j : Fin (n - 1)) (_hj : j ∈ s), (i : ℕ) = j + 1 }.toFinset zero_mem := by simp getLast_mem := by simp } left_inv := by intro c ext i simp only [add_comm, Set.toFinset_setOf, Finset.mem_univ, forall_true_left, Finset.mem_filter, true_and, exists_prop] constructor · rintro (rfl | rfl | ⟨j, hj1, hj2⟩) · exact c.zero_mem · exact c.getLast_mem · convert hj1 · simp only [or_iff_not_imp_left] intro i_mem i_ne_zero i_ne_last simp? [Fin.ext_iff] at i_ne_zero i_ne_last says simp only [Nat.succ_eq_add_one, Fin.ext_iff, Fin.val_zero, Fin.val_last] at i_ne_zero i_ne_last have A : (1 + (i - 1) : ℕ) = (i : ℕ) := by rw [add_comm] exact Nat.succ_pred_eq_of_pos (pos_iff_ne_zero.mpr i_ne_zero) refine ⟨⟨i - 1, ?_⟩, ?_, ?_⟩ · have : (i : ℕ) < n + 1 := i.2 simp? [Nat.lt_succ_iff_lt_or_eq, i_ne_last] at this says simp only [Nat.succ_eq_add_one, Nat.lt_succ_iff_lt_or_eq, i_ne_last, or_false] at this exact Nat.pred_lt_pred i_ne_zero this · convert i_mem simp only [ge_iff_le] rwa [add_comm] · simp only [ge_iff_le] symm rwa [add_comm] right_inv := by intro s ext i have : 1 + (i : ℕ) ≠ n := by apply ne_of_lt convert add_lt_add_left i.is_lt 1 rw [add_comm] apply (Nat.succ_pred_eq_of_pos _).symm exact (zero_le i.val).trans_lt (i.2.trans_le (Nat.sub_le n 1)) simp only [add_comm, Fin.ext_iff, Fin.val_zero, Fin.val_last, exists_prop, Set.toFinset_setOf, Finset.mem_univ, forall_true_left, Finset.mem_filter, add_eq_zero_iff, and_false, add_left_inj, false_or, true_and] erw [Set.mem_setOf_eq] simp [this, false_or_iff, add_right_inj, add_eq_zero_iff, one_ne_zero, false_and_iff, Fin.val_mk] constructor · intro h cases' h with n h · rw [add_comm] at this contradiction · cases' h with w h; cases' h with h₁ h₂ rw [← Fin.ext_iff] at h₂ rwa [h₂] · intro h apply Or.inr use i, h #align composition_as_set_equiv compositionAsSetEquiv instance compositionAsSetFintype (n : ℕ) : Fintype (CompositionAsSet n) := Fintype.ofEquiv _ (compositionAsSetEquiv n).symm #align composition_as_set_fintype compositionAsSetFintype
Mathlib/Combinatorics/Enumerative/Composition.lean
843
846
theorem compositionAsSet_card (n : ℕ) : Fintype.card (CompositionAsSet n) = 2 ^ (n - 1) := by have : Fintype.card (Finset (Fin (n - 1))) = 2 ^ (n - 1) := by simp
have : Fintype.card (Finset (Fin (n - 1))) = 2 ^ (n - 1) := by simp rw [← this] exact Fintype.card_congr (compositionAsSetEquiv n)
true
import Mathlib.Order.Cover import Mathlib.Order.LatticeIntervals import Mathlib.Order.GaloisConnection #align_import order.modular_lattice from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" open Set variable {α : Type*} class IsWeakUpperModularLattice (α : Type*) [Lattice α] : Prop where covBy_sup_of_inf_covBy_covBy {a b : α} : a ⊓ b ⋖ a → a ⊓ b ⋖ b → a ⋖ a ⊔ b #align is_weak_upper_modular_lattice IsWeakUpperModularLattice class IsWeakLowerModularLattice (α : Type*) [Lattice α] : Prop where inf_covBy_of_covBy_covBy_sup {a b : α} : a ⋖ a ⊔ b → b ⋖ a ⊔ b → a ⊓ b ⋖ a #align is_weak_lower_modular_lattice IsWeakLowerModularLattice class IsUpperModularLattice (α : Type*) [Lattice α] : Prop where covBy_sup_of_inf_covBy {a b : α} : a ⊓ b ⋖ a → b ⋖ a ⊔ b #align is_upper_modular_lattice IsUpperModularLattice class IsLowerModularLattice (α : Type*) [Lattice α] : Prop where inf_covBy_of_covBy_sup {a b : α} : a ⋖ a ⊔ b → a ⊓ b ⋖ b #align is_lower_modular_lattice IsLowerModularLattice class IsModularLattice (α : Type*) [Lattice α] : Prop where sup_inf_le_assoc_of_le : ∀ {x : α} (y : α) {z : α}, x ≤ z → (x ⊔ y) ⊓ z ≤ x ⊔ y ⊓ z #align is_modular_lattice IsModularLattice section WeakUpperModular variable [Lattice α] [IsWeakUpperModularLattice α] {a b : α} theorem covBy_sup_of_inf_covBy_of_inf_covBy_left : a ⊓ b ⋖ a → a ⊓ b ⋖ b → a ⋖ a ⊔ b := IsWeakUpperModularLattice.covBy_sup_of_inf_covBy_covBy #align covby_sup_of_inf_covby_of_inf_covby_left covBy_sup_of_inf_covBy_of_inf_covBy_left
Mathlib/Order/ModularLattice.lean
103
105
theorem covBy_sup_of_inf_covBy_of_inf_covBy_right : a ⊓ b ⋖ a → a ⊓ b ⋖ b → b ⋖ a ⊔ b := by rw [inf_comm, sup_comm]
rw [inf_comm, sup_comm] exact fun ha hb => covBy_sup_of_inf_covBy_of_inf_covBy_left hb ha
true
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt
Mathlib/Analysis/Calculus/Gradient/Basic.lean
127
131
theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin,
rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt
true
import Mathlib.Algebra.FreeNonUnitalNonAssocAlgebra import Mathlib.Algebra.Lie.NonUnitalNonAssocAlgebra import Mathlib.Algebra.Lie.UniversalEnveloping import Mathlib.GroupTheory.GroupAction.Ring #align_import algebra.lie.free from "leanprover-community/mathlib"@"841ac1a3d9162bf51c6327812ecb6e5e71883ac4" universe u v w noncomputable section variable (R : Type u) (X : Type v) [CommRing R] local notation "lib" => FreeNonUnitalNonAssocAlgebra local notation "lib.lift" => FreeNonUnitalNonAssocAlgebra.lift local notation "lib.of" => FreeNonUnitalNonAssocAlgebra.of local notation "lib.lift_of_apply" => FreeNonUnitalNonAssocAlgebra.lift_of_apply local notation "lib.lift_comp_of" => FreeNonUnitalNonAssocAlgebra.lift_comp_of namespace FreeLieAlgebra inductive Rel : lib R X → lib R X → Prop | lie_self (a : lib R X) : Rel (a * a) 0 | leibniz_lie (a b c : lib R X) : Rel (a * (b * c)) (a * b * c + b * (a * c)) | smul (t : R) {a b : lib R X} : Rel a b → Rel (t • a) (t • b) | add_right {a b : lib R X} (c : lib R X) : Rel a b → Rel (a + c) (b + c) | mul_left (a : lib R X) {b c : lib R X} : Rel b c → Rel (a * b) (a * c) | mul_right {a b : lib R X} (c : lib R X) : Rel a b → Rel (a * c) (b * c) #align free_lie_algebra.rel FreeLieAlgebra.Rel variable {R X} theorem Rel.addLeft (a : lib R X) {b c : lib R X} (h : Rel R X b c) : Rel R X (a + b) (a + c) := by rw [add_comm _ b, add_comm _ c]; exact h.add_right _ #align free_lie_algebra.rel.add_left FreeLieAlgebra.Rel.addLeft
Mathlib/Algebra/Lie/Free.lean
91
92
theorem Rel.neg {a b : lib R X} (h : Rel R X a b) : Rel R X (-a) (-b) := by
simpa only [neg_one_smul] using h.smul (-1)
true
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Data.Rat.Denumerable import Mathlib.Data.Set.Pointwise.Interval import Mathlib.SetTheory.Cardinal.Continuum #align_import data.real.cardinality from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d" open Nat Set open Cardinal noncomputable section namespace Cardinal variable {c : ℝ} {f g : ℕ → Bool} {n : ℕ} def cantorFunctionAux (c : ℝ) (f : ℕ → Bool) (n : ℕ) : ℝ := cond (f n) (c ^ n) 0 #align cardinal.cantor_function_aux Cardinal.cantorFunctionAux @[simp] theorem cantorFunctionAux_true (h : f n = true) : cantorFunctionAux c f n = c ^ n := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_tt Cardinal.cantorFunctionAux_true @[simp] theorem cantorFunctionAux_false (h : f n = false) : cantorFunctionAux c f n = 0 := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_ff Cardinal.cantorFunctionAux_false theorem cantorFunctionAux_nonneg (h : 0 ≤ c) : 0 ≤ cantorFunctionAux c f n := by cases h' : f n <;> simp [h'] apply pow_nonneg h #align cardinal.cantor_function_aux_nonneg Cardinal.cantorFunctionAux_nonneg theorem cantorFunctionAux_eq (h : f n = g n) : cantorFunctionAux c f n = cantorFunctionAux c g n := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_eq Cardinal.cantorFunctionAux_eq theorem cantorFunctionAux_zero (f : ℕ → Bool) : cantorFunctionAux c f 0 = cond (f 0) 1 0 := by cases h : f 0 <;> simp [h] #align cardinal.cantor_function_aux_zero Cardinal.cantorFunctionAux_zero theorem cantorFunctionAux_succ (f : ℕ → Bool) : (fun n => cantorFunctionAux c f (n + 1)) = fun n => c * cantorFunctionAux c (fun n => f (n + 1)) n := by ext n cases h : f (n + 1) <;> simp [h, _root_.pow_succ'] #align cardinal.cantor_function_aux_succ Cardinal.cantorFunctionAux_succ theorem summable_cantor_function (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) : Summable (cantorFunctionAux c f) := by apply (summable_geometric_of_lt_one h1 h2).summable_of_eq_zero_or_self intro n; cases h : f n <;> simp [h] #align cardinal.summable_cantor_function Cardinal.summable_cantor_function def cantorFunction (c : ℝ) (f : ℕ → Bool) : ℝ := ∑' n, cantorFunctionAux c f n #align cardinal.cantor_function Cardinal.cantorFunction
Mathlib/Data/Real/Cardinality.lean
105
110
theorem cantorFunction_le (h1 : 0 ≤ c) (h2 : c < 1) (h3 : ∀ n, f n → g n) : cantorFunction c f ≤ cantorFunction c g := by apply tsum_le_tsum _ (summable_cantor_function f h1 h2) (summable_cantor_function g h1 h2)
apply tsum_le_tsum _ (summable_cantor_function f h1 h2) (summable_cantor_function g h1 h2) intro n; cases h : f n · simp [h, cantorFunctionAux_nonneg h1] replace h3 : g n = true := h3 n h; simp [h, h3]
true
import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Group.Int import Mathlib.Data.Nat.Dist import Mathlib.Data.Ordmap.Ordnode import Mathlib.Tactic.Abel import Mathlib.Tactic.Linarith #align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69" variable {α : Type*} namespace Ordnode theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 := not_le_of_gt H #align ordnode.not_le_delta Ordnode.not_le_delta theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False := not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta) #align ordnode.delta_lt_false Ordnode.delta_lt_false def realSize : Ordnode α → ℕ | nil => 0 | node _ l _ r => realSize l + realSize r + 1 #align ordnode.real_size Ordnode.realSize def Sized : Ordnode α → Prop | nil => True | node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r #align ordnode.sized Ordnode.Sized theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) := ⟨rfl, hl, hr⟩ #align ordnode.sized.node' Ordnode.Sized.node' theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by rw [h.1] #align ordnode.sized.eq_node' Ordnode.Sized.eq_node' theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) : size (@node α s l x r) = size l + size r + 1 := H.1 #align ordnode.sized.size_eq Ordnode.Sized.size_eq @[elab_as_elim] theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil) (H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by induction t with | nil => exact H0 | node _ _ _ _ t_ih_l t_ih_r => rw [hl.eq_node'] exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2) #align ordnode.sized.induction Ordnode.Sized.induction theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t | nil, _ => rfl | node s l x r, ⟨h₁, h₂, h₃⟩ => by rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl #align ordnode.size_eq_real_size Ordnode.size_eq_realSize @[simp] theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by cases t <;> [simp;simp [ht.1]] #align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by rw [h.1]; apply Nat.le_add_left #align ordnode.sized.pos Ordnode.Sized.pos theorem dual_dual : ∀ t : Ordnode α, dual (dual t) = t | nil => rfl | node s l x r => by rw [dual, dual, dual_dual l, dual_dual r] #align ordnode.dual_dual Ordnode.dual_dual @[simp] theorem size_dual (t : Ordnode α) : size (dual t) = size t := by cases t <;> rfl #align ordnode.size_dual Ordnode.size_dual def BalancedSz (l r : ℕ) : Prop := l + r ≤ 1 ∨ l ≤ delta * r ∧ r ≤ delta * l #align ordnode.balanced_sz Ordnode.BalancedSz instance BalancedSz.dec : DecidableRel BalancedSz := fun _ _ => Or.decidable #align ordnode.balanced_sz.dec Ordnode.BalancedSz.dec def Balanced : Ordnode α → Prop | nil => True | node _ l _ r => BalancedSz (size l) (size r) ∧ Balanced l ∧ Balanced r #align ordnode.balanced Ordnode.Balanced instance Balanced.dec : DecidablePred (@Balanced α) | nil => by unfold Balanced infer_instance | node _ l _ r => by unfold Balanced haveI := Balanced.dec l haveI := Balanced.dec r infer_instance #align ordnode.balanced.dec Ordnode.Balanced.dec @[symm] theorem BalancedSz.symm {l r : ℕ} : BalancedSz l r → BalancedSz r l := Or.imp (by rw [add_comm]; exact id) And.symm #align ordnode.balanced_sz.symm Ordnode.BalancedSz.symm
Mathlib/Data/Ordmap/Ordset.lean
196
197
theorem balancedSz_zero {l : ℕ} : BalancedSz l 0 ↔ l ≤ 1 := by
simp (config := { contextual := true }) [BalancedSz]
true
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι] theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul] #align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by simp [volume_eq_stieltjes_id] #align real.volume_val Real.volume_val @[simp] theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ico Real.volume_Ico @[simp]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
84
84
theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by
simp [volume_val]
true
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Hom.Defs import Mathlib.Algebra.GroupWithZero.NeZero import Mathlib.Algebra.Opposites import Mathlib.Algebra.Ring.Defs #align_import algebra.ring.basic from "leanprover-community/mathlib"@"2ed7e4aec72395b6a7c3ac4ac7873a7a43ead17c" variable {R : Type*} open Function namespace AddHom @[simps (config := .asFn)] def mulLeft [Distrib R] (r : R) : AddHom R R where toFun := (r * ·) map_add' := mul_add r #align add_hom.mul_left AddHom.mulLeft #align add_hom.mul_left_apply AddHom.mulLeft_apply @[simps (config := .asFn)] def mulRight [Distrib R] (r : R) : AddHom R R where toFun a := a * r map_add' _ _ := add_mul _ _ r #align add_hom.mul_right AddHom.mulRight #align add_hom.mul_right_apply AddHom.mulRight_apply end AddHom section HasDistribNeg section NonUnitalCommRing variable {α : Type*} [NonUnitalCommRing α] {a b c : α} attribute [local simp] add_assoc add_comm add_left_comm mul_comm
Mathlib/Algebra/Ring/Basic.lean
130
134
theorem vieta_formula_quadratic {b c x : α} (h : x * x - b * x + c = 0) : ∃ y : α, y * y - b * y + c = 0 ∧ x + y = b ∧ x * y = c := by have : c = x * (b - x) := (eq_neg_of_add_eq_zero_right h).trans (by simp [mul_sub, mul_comm])
have : c = x * (b - x) := (eq_neg_of_add_eq_zero_right h).trans (by simp [mul_sub, mul_comm]) refine ⟨b - x, ?_, by simp, by rw [this]⟩ rw [this, sub_add, ← sub_mul, sub_self]
true
import Mathlib.Data.Finsupp.Encodable import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Span import Mathlib.Data.Set.Countable #align_import linear_algebra.finsupp from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" noncomputable section open Set LinearMap Submodule namespace Finsupp section SMul variable {α : Type*} {β : Type*} {R : Type*} {M : Type*} {M₂ : Type*} theorem smul_sum [Zero β] [AddCommMonoid M] [DistribSMul R M] {v : α →₀ β} {c : R} {h : α → β → M} : c • v.sum h = v.sum fun a b => c • h a b := Finset.smul_sum #align finsupp.smul_sum Finsupp.smul_sum @[simp]
Mathlib/LinearAlgebra/Finsupp.lean
63
69
theorem sum_smul_index_linearMap' [Semiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid M₂] [Module R M₂] {v : α →₀ M} {c : R} {h : α → M →ₗ[R] M₂} : ((c • v).sum fun a => h a) = c • v.sum fun a => h a := by rw [Finsupp.sum_smul_index', Finsupp.smul_sum]
rw [Finsupp.sum_smul_index', Finsupp.smul_sum] · simp only [map_smul] · intro i exact (h i).map_zero
true
import Mathlib.CategoryTheory.Sites.Sheaf #align_import category_theory.sites.plus from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory.GrothendieckTopology open CategoryTheory open CategoryTheory.Limits open Opposite universe w v u variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) variable {D : Type w} [Category.{max v u} D] noncomputable section variable [∀ (P : Cᵒᵖ ⥤ D) (X : C) (S : J.Cover X), HasMultiequalizer (S.index P)] variable (P : Cᵒᵖ ⥤ D) @[simps] def diagram (X : C) : (J.Cover X)ᵒᵖ ⥤ D where obj S := multiequalizer (S.unop.index P) map {S _} f := Multiequalizer.lift _ _ (fun I => Multiequalizer.ι (S.unop.index P) (I.map f.unop)) fun I => Multiequalizer.condition (S.unop.index P) (I.map f.unop) #align category_theory.grothendieck_topology.diagram CategoryTheory.GrothendieckTopology.diagram @[simps] def diagramPullback {X Y : C} (f : X ⟶ Y) : J.diagram P Y ⟶ (J.pullback f).op ⋙ J.diagram P X where app S := Multiequalizer.lift _ _ (fun I => Multiequalizer.ι (S.unop.index P) I.base) fun I => Multiequalizer.condition (S.unop.index P) I.base naturality S T f := Multiequalizer.hom_ext _ _ _ (fun I => by dsimp; simp; rfl) #align category_theory.grothendieck_topology.diagram_pullback CategoryTheory.GrothendieckTopology.diagramPullback @[simps] def diagramNatTrans {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (X : C) : J.diagram P X ⟶ J.diagram Q X where app W := Multiequalizer.lift _ _ (fun i => Multiequalizer.ι _ _ ≫ η.app _) (fun i => by dsimp only erw [Category.assoc, Category.assoc, ← η.naturality, ← η.naturality, Multiequalizer.condition_assoc] rfl) #align category_theory.grothendieck_topology.diagram_nat_trans CategoryTheory.GrothendieckTopology.diagramNatTrans @[simp] theorem diagramNatTrans_id (X : C) (P : Cᵒᵖ ⥤ D) : J.diagramNatTrans (𝟙 P) X = 𝟙 (J.diagram P X) := by ext : 2 refine Multiequalizer.hom_ext _ _ _ (fun i => ?_) dsimp simp only [limit.lift_π, Multifork.ofι_pt, Multifork.ofι_π_app, Category.id_comp] erw [Category.comp_id] #align category_theory.grothendieck_topology.diagram_nat_trans_id CategoryTheory.GrothendieckTopology.diagramNatTrans_id @[simp] theorem diagramNatTrans_zero [Preadditive D] (X : C) (P Q : Cᵒᵖ ⥤ D) : J.diagramNatTrans (0 : P ⟶ Q) X = 0 := by ext : 2 refine Multiequalizer.hom_ext _ _ _ (fun i => ?_) dsimp rw [zero_comp, Multiequalizer.lift_ι, comp_zero] #align category_theory.grothendieck_topology.diagram_nat_trans_zero CategoryTheory.GrothendieckTopology.diagramNatTrans_zero @[simp]
Mathlib/CategoryTheory/Sites/Plus.lean
90
95
theorem diagramNatTrans_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) (X : C) : J.diagramNatTrans (η ≫ γ) X = J.diagramNatTrans η X ≫ J.diagramNatTrans γ X := by ext : 2
ext : 2 refine Multiequalizer.hom_ext _ _ _ (fun i => ?_) dsimp simp
true
import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp]
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
52
52
theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by
simp [map]
true
import Mathlib.Control.EquivFunctor import Mathlib.Data.Option.Basic import Mathlib.Data.Subtype import Mathlib.Logic.Equiv.Defs import Mathlib.Tactic.Cases #align_import logic.equiv.option from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" universe u namespace Equiv open Option variable {α β γ : Type*} section RemoveNone variable (e : Option α ≃ Option β) def removeNone_aux (x : α) : β := if h : (e (some x)).isSome then Option.get _ h else Option.get _ <| show (e none).isSome by rw [← Option.ne_none_iff_isSome] intro hn rw [Option.not_isSome_iff_eq_none, ← hn] at h exact Option.some_ne_none _ (e.injective h) -- Porting note: private -- #align equiv.remove_none_aux Equiv.removeNone_aux
Mathlib/Logic/Equiv/Option.lean
89
91
theorem removeNone_aux_some {x : α} (h : ∃ x', e (some x) = some x') : some (removeNone_aux e x) = e (some x) := by
simp [removeNone_aux, Option.isSome_iff_exists.mpr h]
true
import Mathlib.LinearAlgebra.LinearPMap import Mathlib.Topology.Algebra.Module.Basic #align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology variable {R E F : Type*} variable [CommRing R] [AddCommGroup E] [AddCommGroup F] variable [Module R E] [Module R F] variable [TopologicalSpace E] [TopologicalSpace F] namespace LinearPMap def IsClosed (f : E →ₗ.[R] F) : Prop := _root_.IsClosed (f.graph : Set (E × F)) #align linear_pmap.is_closed LinearPMap.IsClosed variable [ContinuousAdd E] [ContinuousAdd F] variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F] def IsClosable (f : E →ₗ.[R] F) : Prop := ∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph #align linear_pmap.is_closable LinearPMap.IsClosable theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable := ⟨f, hf.submodule_topologicalClosure_eq⟩ #align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) : g.IsClosable := by cases' hf with f' hf have : g.graph.topologicalClosure ≤ f'.graph := by rw [← hf] exact Submodule.topologicalClosure_mono (le_graph_of_le hfg) use g.graph.topologicalClosure.toLinearPMap rw [Submodule.toLinearPMap_graph_eq] exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx' #align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) : ∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_ rw [← hy₁, ← hy₂] #align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique open scoped Classical noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F := if hf : f.IsClosable then hf.choose else f #align linear_pmap.closure LinearPMap.closure theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by simp [closure, hf] #align linear_pmap.closure_def LinearPMap.closure_def theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by simp [closure, hf] #align linear_pmap.closure_def' LinearPMap.closure_def' theorem IsClosable.graph_closure_eq_closure_graph {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.graph.topologicalClosure = f.closure.graph := by rw [closure_def hf] exact hf.choose_spec #align linear_pmap.is_closable.graph_closure_eq_closure_graph LinearPMap.IsClosable.graph_closure_eq_closure_graph theorem le_closure (f : E →ₗ.[R] F) : f ≤ f.closure := by by_cases hf : f.IsClosable · refine le_of_le_graph ?_ rw [← hf.graph_closure_eq_closure_graph] exact (graph f).le_topologicalClosure rw [closure_def' hf] #align linear_pmap.le_closure LinearPMap.le_closure theorem IsClosable.closure_mono {f g : E →ₗ.[R] F} (hg : g.IsClosable) (h : f ≤ g) : f.closure ≤ g.closure := by refine le_of_le_graph ?_ rw [← (hg.leIsClosable h).graph_closure_eq_closure_graph] rw [← hg.graph_closure_eq_closure_graph] exact Submodule.topologicalClosure_mono (le_graph_of_le h) #align linear_pmap.is_closable.closure_mono LinearPMap.IsClosable.closure_mono
Mathlib/Topology/Algebra/Module/LinearPMap.lean
136
138
theorem IsClosable.closure_isClosed {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure.IsClosed := by rw [IsClosed, ← hf.graph_closure_eq_closure_graph]
rw [IsClosed, ← hf.graph_closure_eq_closure_graph] exact f.graph.isClosed_topologicalClosure
true
import Mathlib.Analysis.Analytic.Basic import Mathlib.Analysis.Complex.Basic import Mathlib.Analysis.Normed.Field.InfiniteSum import Mathlib.Data.Nat.Choose.Cast import Mathlib.Data.Finset.NoncommProd import Mathlib.Topology.Algebra.Algebra #align_import analysis.normed_space.exponential from "leanprover-community/mathlib"@"62748956a1ece9b26b33243e2e3a2852176666f5" namespace NormedSpace open Filter RCLike ContinuousMultilinearMap NormedField Asymptotics open scoped Nat Topology ENNReal section TopologicalAlgebra variable (𝕂 𝔸 : Type*) [Field 𝕂] [Ring 𝔸] [Algebra 𝕂 𝔸] [TopologicalSpace 𝔸] [TopologicalRing 𝔸] def expSeries : FormalMultilinearSeries 𝕂 𝔸 𝔸 := fun n => (n !⁻¹ : 𝕂) • ContinuousMultilinearMap.mkPiAlgebraFin 𝕂 n 𝔸 #align exp_series NormedSpace.expSeries variable {𝔸} noncomputable def exp (x : 𝔸) : 𝔸 := (expSeries 𝕂 𝔸).sum x #align exp NormedSpace.exp variable {𝕂} theorem expSeries_apply_eq (x : 𝔸) (n : ℕ) : (expSeries 𝕂 𝔸 n fun _ => x) = (n !⁻¹ : 𝕂) • x ^ n := by simp [expSeries] #align exp_series_apply_eq NormedSpace.expSeries_apply_eq theorem expSeries_apply_eq' (x : 𝔸) : (fun n => expSeries 𝕂 𝔸 n fun _ => x) = fun n => (n !⁻¹ : 𝕂) • x ^ n := funext (expSeries_apply_eq x) #align exp_series_apply_eq' NormedSpace.expSeries_apply_eq' theorem expSeries_sum_eq (x : 𝔸) : (expSeries 𝕂 𝔸).sum x = ∑' n : ℕ, (n !⁻¹ : 𝕂) • x ^ n := tsum_congr fun n => expSeries_apply_eq x n #align exp_series_sum_eq NormedSpace.expSeries_sum_eq theorem exp_eq_tsum : exp 𝕂 = fun x : 𝔸 => ∑' n : ℕ, (n !⁻¹ : 𝕂) • x ^ n := funext expSeries_sum_eq #align exp_eq_tsum NormedSpace.exp_eq_tsum theorem expSeries_apply_zero (n : ℕ) : (expSeries 𝕂 𝔸 n fun _ => (0 : 𝔸)) = Pi.single (f := fun _ => 𝔸) 0 1 n := by rw [expSeries_apply_eq] cases' n with n · rw [pow_zero, Nat.factorial_zero, Nat.cast_one, inv_one, one_smul, Pi.single_eq_same] · rw [zero_pow (Nat.succ_ne_zero _), smul_zero, Pi.single_eq_of_ne n.succ_ne_zero] #align exp_series_apply_zero NormedSpace.expSeries_apply_zero @[simp] theorem exp_zero : exp 𝕂 (0 : 𝔸) = 1 := by simp_rw [exp_eq_tsum, ← expSeries_apply_eq, expSeries_apply_zero, tsum_pi_single] #align exp_zero NormedSpace.exp_zero @[simp]
Mathlib/Analysis/NormedSpace/Exponential.lean
150
151
theorem exp_op [T2Space 𝔸] (x : 𝔸) : exp 𝕂 (MulOpposite.op x) = MulOpposite.op (exp 𝕂 x) := by
simp_rw [exp, expSeries_sum_eq, ← MulOpposite.op_pow, ← MulOpposite.op_smul, tsum_op]
true
import Mathlib.Data.Vector.Basic import Mathlib.Data.Vector.Snoc set_option autoImplicit true namespace Vector section Fold section Binary variable (xs : Vector α n) (ys : Vector β n) @[simp] theorem mapAccumr₂_mapAccumr_left (f₁ : γ → β → σ₁ → σ₁ × ζ) (f₂ : α → σ₂ → σ₂ × γ) : (mapAccumr₂ f₁ (mapAccumr f₂ xs s₂).snd ys s₁) = let m := (mapAccumr₂ (fun x y s => let r₂ := f₂ x s.snd let r₁ := f₁ r₂.snd y s.fst ((r₁.fst, r₂.fst), r₁.snd) ) xs ys (s₁, s₂)) (m.fst.fst, m.snd) := by induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all @[simp] theorem map₂_map_left (f₁ : γ → β → ζ) (f₂ : α → γ) : map₂ f₁ (map f₂ xs) ys = map₂ (fun x y => f₁ (f₂ x) y) xs ys := by induction xs, ys using Vector.revInductionOn₂ <;> simp_all @[simp] theorem mapAccumr₂_mapAccumr_right (f₁ : α → γ → σ₁ → σ₁ × ζ) (f₂ : β → σ₂ → σ₂ × γ) : (mapAccumr₂ f₁ xs (mapAccumr f₂ ys s₂).snd s₁) = let m := (mapAccumr₂ (fun x y s => let r₂ := f₂ y s.snd let r₁ := f₁ x r₂.snd s.fst ((r₁.fst, r₂.fst), r₁.snd) ) xs ys (s₁, s₂)) (m.fst.fst, m.snd) := by induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all @[simp] theorem map₂_map_right (f₁ : α → γ → ζ) (f₂ : β → γ) : map₂ f₁ xs (map f₂ ys) = map₂ (fun x y => f₁ x (f₂ y)) xs ys := by induction xs, ys using Vector.revInductionOn₂ <;> simp_all @[simp] theorem mapAccumr_mapAccumr₂ (f₁ : γ → σ₁ → σ₁ × ζ) (f₂ : α → β → σ₂ → σ₂ × γ) : (mapAccumr f₁ (mapAccumr₂ f₂ xs ys s₂).snd s₁) = let m := mapAccumr₂ (fun x y s => let r₂ := f₂ x y s.snd let r₁ := f₁ r₂.snd s.fst ((r₁.fst, r₂.fst), r₁.snd) ) xs ys (s₁, s₂) (m.fst.fst, m.snd) := by induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all @[simp] theorem map_map₂ (f₁ : γ → ζ) (f₂ : α → β → γ) : map f₁ (map₂ f₂ xs ys) = map₂ (fun x y => f₁ <| f₂ x y) xs ys := by induction xs, ys using Vector.revInductionOn₂ <;> simp_all @[simp] theorem mapAccumr₂_mapAccumr₂_left_left (f₁ : γ → α → σ₁ → σ₁ × φ) (f₂ : α → β → σ₂ → σ₂ × γ) : (mapAccumr₂ f₁ (mapAccumr₂ f₂ xs ys s₂).snd xs s₁) = let m := mapAccumr₂ (fun x y (s₁, s₂) => let r₂ := f₂ x y s₂ let r₁ := f₁ r₂.snd x s₁ ((r₁.fst, r₂.fst), r₁.snd) ) xs ys (s₁, s₂) (m.fst.fst, m.snd) := by induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all @[simp] theorem mapAccumr₂_mapAccumr₂_left_right (f₁ : γ → β → σ₁ → σ₁ × φ) (f₂ : α → β → σ₂ → σ₂ × γ) : (mapAccumr₂ f₁ (mapAccumr₂ f₂ xs ys s₂).snd ys s₁) = let m := mapAccumr₂ (fun x y (s₁, s₂) => let r₂ := f₂ x y s₂ let r₁ := f₁ r₂.snd y s₁ ((r₁.fst, r₂.fst), r₁.snd) ) xs ys (s₁, s₂) (m.fst.fst, m.snd) := by induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all @[simp]
Mathlib/Data/Vector/MapLemmas.lean
133
142
theorem mapAccumr₂_mapAccumr₂_right_left (f₁ : α → γ → σ₁ → σ₁ × φ) (f₂ : α → β → σ₂ → σ₂ × γ) : (mapAccumr₂ f₁ xs (mapAccumr₂ f₂ xs ys s₂).snd s₁) = let m := mapAccumr₂ (fun x y (s₁, s₂) => let r₂ := f₂ x y s₂ let r₁ := f₁ x r₂.snd s₁ ((r₁.fst, r₂.fst), r₁.snd) ) xs ys (s₁, s₂) (m.fst.fst, m.snd) := by
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all
true
import Mathlib.Topology.Category.TopCat.Adjunctions #align_import topology.category.Top.epi_mono from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u open CategoryTheory open TopCat namespace TopCat
Mathlib/Topology/Category/TopCat/EpiMono.lean
27
34
theorem epi_iff_surjective {X Y : TopCat.{u}} (f : X ⟶ Y) : Epi f ↔ Function.Surjective f := by suffices Epi f ↔ Epi ((forget TopCat).map f) by
suffices Epi f ↔ Epi ((forget TopCat).map f) by rw [this, CategoryTheory.epi_iff_surjective] rfl constructor · intro infer_instance · apply Functor.epi_of_epi_map
true
import Mathlib.Topology.Connected.Basic open Set Topology universe u v variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α] {s t u v : Set α} section LocallyConnectedSpace class LocallyConnectedSpace (α : Type*) [TopologicalSpace α] : Prop where open_connected_basis : ∀ x, (𝓝 x).HasBasis (fun s : Set α => IsOpen s ∧ x ∈ s ∧ IsConnected s) id #align locally_connected_space LocallyConnectedSpace theorem locallyConnectedSpace_iff_open_connected_basis : LocallyConnectedSpace α ↔ ∀ x, (𝓝 x).HasBasis (fun s : Set α => IsOpen s ∧ x ∈ s ∧ IsConnected s) id := ⟨@LocallyConnectedSpace.open_connected_basis _ _, LocallyConnectedSpace.mk⟩ #align locally_connected_space_iff_open_connected_basis locallyConnectedSpace_iff_open_connected_basis theorem locallyConnectedSpace_iff_open_connected_subsets : LocallyConnectedSpace α ↔ ∀ x, ∀ U ∈ 𝓝 x, ∃ V : Set α, V ⊆ U ∧ IsOpen V ∧ x ∈ V ∧ IsConnected V := by simp_rw [locallyConnectedSpace_iff_open_connected_basis] refine forall_congr' fun _ => ?_ constructor · intro h U hU rcases h.mem_iff.mp hU with ⟨V, hV, hVU⟩ exact ⟨V, hVU, hV⟩ · exact fun h => ⟨fun U => ⟨fun hU => let ⟨V, hVU, hV⟩ := h U hU ⟨V, hV, hVU⟩, fun ⟨V, ⟨hV, hxV, _⟩, hVU⟩ => mem_nhds_iff.mpr ⟨V, hVU, hV, hxV⟩⟩⟩ #align locally_connected_space_iff_open_connected_subsets locallyConnectedSpace_iff_open_connected_subsets instance (priority := 100) DiscreteTopology.toLocallyConnectedSpace (α) [TopologicalSpace α] [DiscreteTopology α] : LocallyConnectedSpace α := locallyConnectedSpace_iff_open_connected_subsets.2 fun x _U hU => ⟨{x}, singleton_subset_iff.2 <| mem_of_mem_nhds hU, isOpen_discrete _, rfl, isConnected_singleton⟩ #align discrete_topology.to_locally_connected_space DiscreteTopology.toLocallyConnectedSpace theorem connectedComponentIn_mem_nhds [LocallyConnectedSpace α] {F : Set α} {x : α} (h : F ∈ 𝓝 x) : connectedComponentIn F x ∈ 𝓝 x := by rw [(LocallyConnectedSpace.open_connected_basis x).mem_iff] at h rcases h with ⟨s, ⟨h1s, hxs, h2s⟩, hsF⟩ exact mem_nhds_iff.mpr ⟨s, h2s.isPreconnected.subset_connectedComponentIn hxs hsF, h1s, hxs⟩ #align connected_component_in_mem_nhds connectedComponentIn_mem_nhds protected theorem IsOpen.connectedComponentIn [LocallyConnectedSpace α] {F : Set α} {x : α} (hF : IsOpen F) : IsOpen (connectedComponentIn F x) := by rw [isOpen_iff_mem_nhds] intro y hy rw [connectedComponentIn_eq hy] exact connectedComponentIn_mem_nhds (hF.mem_nhds <| connectedComponentIn_subset F x hy) #align is_open.connected_component_in IsOpen.connectedComponentIn theorem isOpen_connectedComponent [LocallyConnectedSpace α] {x : α} : IsOpen (connectedComponent x) := by rw [← connectedComponentIn_univ] exact isOpen_univ.connectedComponentIn #align is_open_connected_component isOpen_connectedComponent theorem isClopen_connectedComponent [LocallyConnectedSpace α] {x : α} : IsClopen (connectedComponent x) := ⟨isClosed_connectedComponent, isOpen_connectedComponent⟩ #align is_clopen_connected_component isClopen_connectedComponent theorem locallyConnectedSpace_iff_connectedComponentIn_open : LocallyConnectedSpace α ↔ ∀ F : Set α, IsOpen F → ∀ x ∈ F, IsOpen (connectedComponentIn F x) := by constructor · intro h exact fun F hF x _ => hF.connectedComponentIn · intro h rw [locallyConnectedSpace_iff_open_connected_subsets] refine fun x U hU => ⟨connectedComponentIn (interior U) x, (connectedComponentIn_subset _ _).trans interior_subset, h _ isOpen_interior x ?_, mem_connectedComponentIn ?_, isConnected_connectedComponentIn_iff.mpr ?_⟩ <;> exact mem_interior_iff_mem_nhds.mpr hU #align locally_connected_space_iff_connected_component_in_open locallyConnectedSpace_iff_connectedComponentIn_open
Mathlib/Topology/Connected/LocallyConnected.lean
104
115
theorem locallyConnectedSpace_iff_connected_subsets : LocallyConnectedSpace α ↔ ∀ (x : α), ∀ U ∈ 𝓝 x, ∃ V ∈ 𝓝 x, IsPreconnected V ∧ V ⊆ U := by constructor
constructor · rw [locallyConnectedSpace_iff_open_connected_subsets] intro h x U hxU rcases h x U hxU with ⟨V, hVU, hV₁, hxV, hV₂⟩ exact ⟨V, hV₁.mem_nhds hxV, hV₂.isPreconnected, hVU⟩ · rw [locallyConnectedSpace_iff_connectedComponentIn_open] refine fun h U hU x _ => isOpen_iff_mem_nhds.mpr fun y hy => ?_ rw [connectedComponentIn_eq hy] rcases h y U (hU.mem_nhds <| (connectedComponentIn_subset _ _) hy) with ⟨V, hVy, hV, hVU⟩ exact Filter.mem_of_superset hVy (hV.subset_connectedComponentIn (mem_of_mem_nhds hVy) hVU)
true
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.Calculus.ParametricIntegral import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Function.LocallyIntegrable import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Group.Prod import Mathlib.MeasureTheory.Integral.IntervalIntegral #align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95" open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ContinuousLinearMap Metric Bornology open scoped Pointwise Topology NNReal Filter universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF} {F' : Type uF'} {F'' : Type uF''} {P : Type uP} variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E''] [NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E} namespace MeasureTheory section NontriviallyNormedField variable [NontriviallyNormedField 𝕜] variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F] variable (L : E →L[𝕜] E' →L[𝕜] F) section Measurability variable [MeasurableSpace G] {μ ν : Measure G} def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F) (μ : Measure G := by volume_tac) : Prop := Integrable (fun t => L (f t) (g (x - t))) μ #align convolution_exists_at MeasureTheory.ConvolutionExistsAt def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F) (μ : Measure G := by volume_tac) : Prop := ∀ x : G, ConvolutionExistsAt f g x L μ #align convolution_exists MeasureTheory.ConvolutionExists section ConvolutionExists variable {L} in theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) : Integrable (fun t => L (f t) (g (x - t))) μ := h #align convolution_exists_at.integrable MeasureTheory.ConvolutionExistsAt.integrable section Group variable [AddGroup G] theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G] [MeasurableNeg G] [SigmaFinite ν] (hf : AEStronglyMeasurable f ν) (hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub #align measure_theory.ae_strongly_measurable.convolution_integrand' MeasureTheory.AEStronglyMeasurable.convolution_integrand' section variable [MeasurableAdd G] [MeasurableNeg G] theorem AEStronglyMeasurable.convolution_integrand_snd' (hf : AEStronglyMeasurable f μ) {x : G} (hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) : AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ := L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x #align measure_theory.ae_strongly_measurable.convolution_integrand_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_snd' theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G} (hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) : AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ := L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg #align measure_theory.ae_strongly_measurable.convolution_integrand_swap_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_swap_snd' theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G} (hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s) (h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) : ConvolutionExistsAt f g x₀ L μ := by rw [ConvolutionExistsAt] rw [← integrableOn_iff_integrable_of_support_subset h2s] set s' := (fun t => -t + x₀) ⁻¹' s have : ∀ᵐ t : G ∂μ.restrict s, ‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by filter_upwards refine le_indicator (fun t ht => ?_) fun t ht => ?_ · apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl] refine (le_ciSup_set hbg <| mem_preimage.mpr ?_) rwa [neg_sub, sub_add_cancel] · have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht rw [nmem_support.mp this, norm_zero] refine Integrable.mono' ?_ ?_ this · rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn · exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg #align bdd_above.convolution_exists_at' BddAbove.convolutionExistsAt'
Mathlib/Analysis/Convolution.lean
239
246
theorem ConvolutionExistsAt.ofNorm' {x₀ : G} (h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ) (hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) μ) : ConvolutionExistsAt f g x₀ L μ := by refine (h.const_mul ‖L‖).mono'
refine (h.const_mul ‖L‖).mono' (hmf.convolution_integrand_snd' L hmg) (eventually_of_forall fun x => ?_) rw [mul_apply', ← mul_assoc] apply L.le_opNorm₂
true
import Mathlib.Analysis.NormedSpace.ConformalLinearMap import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.conformal.normed_space from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee" noncomputable section variable {X Y Z : Type*} [NormedAddCommGroup X] [NormedAddCommGroup Y] [NormedAddCommGroup Z] [NormedSpace ℝ X] [NormedSpace ℝ Y] [NormedSpace ℝ Z] section LocConformality open LinearIsometry ContinuousLinearMap def ConformalAt (f : X → Y) (x : X) := ∃ f' : X →L[ℝ] Y, HasFDerivAt f f' x ∧ IsConformalMap f' #align conformal_at ConformalAt theorem conformalAt_id (x : X) : ConformalAt _root_.id x := ⟨id ℝ X, hasFDerivAt_id _, isConformalMap_id⟩ #align conformal_at_id conformalAt_id theorem conformalAt_const_smul {c : ℝ} (h : c ≠ 0) (x : X) : ConformalAt (fun x' : X => c • x') x := ⟨c • ContinuousLinearMap.id ℝ X, (hasFDerivAt_id x).const_smul c, isConformalMap_const_smul h⟩ #align conformal_at_const_smul conformalAt_const_smul @[nontriviality] theorem Subsingleton.conformalAt [Subsingleton X] (f : X → Y) (x : X) : ConformalAt f x := ⟨0, hasFDerivAt_of_subsingleton _ _, isConformalMap_of_subsingleton _⟩ #align subsingleton.conformal_at Subsingleton.conformalAt theorem conformalAt_iff_isConformalMap_fderiv {f : X → Y} {x : X} : ConformalAt f x ↔ IsConformalMap (fderiv ℝ f x) := by constructor · rintro ⟨f', hf, hf'⟩ rwa [hf.fderiv] · intro H by_cases h : DifferentiableAt ℝ f x · exact ⟨fderiv ℝ f x, h.hasFDerivAt, H⟩ · nontriviality X exact absurd (fderiv_zero_of_not_differentiableAt h) H.ne_zero #align conformal_at_iff_is_conformal_map_fderiv conformalAt_iff_isConformalMap_fderiv namespace ConformalAt theorem differentiableAt {f : X → Y} {x : X} (h : ConformalAt f x) : DifferentiableAt ℝ f x := let ⟨_, h₁, _⟩ := h h₁.differentiableAt #align conformal_at.differentiable_at ConformalAt.differentiableAt theorem congr {f g : X → Y} {x : X} {u : Set X} (hx : x ∈ u) (hu : IsOpen u) (hf : ConformalAt f x) (h : ∀ x : X, x ∈ u → g x = f x) : ConformalAt g x := let ⟨f', hfderiv, hf'⟩ := hf ⟨f', hfderiv.congr_of_eventuallyEq ((hu.eventually_mem hx).mono h), hf'⟩ #align conformal_at.congr ConformalAt.congr
Mathlib/Analysis/Calculus/Conformal/NormedSpace.lean
98
102
theorem comp {f : X → Y} {g : Y → Z} (x : X) (hg : ConformalAt g (f x)) (hf : ConformalAt f x) : ConformalAt (g ∘ f) x := by rcases hf with ⟨f', hf₁, cf⟩
rcases hf with ⟨f', hf₁, cf⟩ rcases hg with ⟨g', hg₁, cg⟩ exact ⟨g'.comp f', hg₁.comp x hf₁, cg.comp cf⟩
true
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0 #align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀ theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) := show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n #align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
60
62
theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by
simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0
true
import Mathlib.CategoryTheory.EqToHom import Mathlib.CategoryTheory.Quotient import Mathlib.Combinatorics.Quiver.Path #align_import category_theory.path_category from "leanprover-community/mathlib"@"c6dd521ebdce53bb372c527569dd7c25de53a08b" universe v₁ v₂ u₁ u₂ namespace CategoryTheory section def Paths (V : Type u₁) : Type u₁ := V #align category_theory.paths CategoryTheory.Paths instance (V : Type u₁) [Inhabited V] : Inhabited (Paths V) := ⟨(default : V)⟩ variable (V : Type u₁) [Quiver.{v₁ + 1} V] namespace Paths instance categoryPaths : Category.{max u₁ v₁} (Paths V) where Hom := fun X Y : V => Quiver.Path X Y id X := Quiver.Path.nil comp f g := Quiver.Path.comp f g #align category_theory.paths.category_paths CategoryTheory.Paths.categoryPaths variable {V} @[simps] def of : V ⥤q Paths V where obj X := X map f := f.toPath #align category_theory.paths.of CategoryTheory.Paths.of attribute [local ext] Functor.ext def lift {C} [Category C] (φ : V ⥤q C) : Paths V ⥤ C where obj := φ.obj map {X} {Y} f := @Quiver.Path.rec V _ X (fun Y _ => φ.obj X ⟶ φ.obj Y) (𝟙 <| φ.obj X) (fun _ f ihp => ihp ≫ φ.map f) Y f map_id X := rfl map_comp f g := by induction' g with _ _ g' p ih _ _ _ · rw [Category.comp_id] rfl · have : f ≫ Quiver.Path.cons g' p = (f ≫ g').cons p := by apply Quiver.Path.comp_cons rw [this] simp only at ih ⊢ rw [ih, Category.assoc] #align category_theory.paths.lift CategoryTheory.Paths.lift @[simp] theorem lift_nil {C} [Category C] (φ : V ⥤q C) (X : V) : (lift φ).map Quiver.Path.nil = 𝟙 (φ.obj X) := rfl #align category_theory.paths.lift_nil CategoryTheory.Paths.lift_nil @[simp] theorem lift_cons {C} [Category C] (φ : V ⥤q C) {X Y Z : V} (p : Quiver.Path X Y) (f : Y ⟶ Z) : (lift φ).map (p.cons f) = (lift φ).map p ≫ φ.map f := rfl #align category_theory.paths.lift_cons CategoryTheory.Paths.lift_cons @[simp] theorem lift_toPath {C} [Category C] (φ : V ⥤q C) {X Y : V} (f : X ⟶ Y) : (lift φ).map f.toPath = φ.map f := by dsimp [Quiver.Hom.toPath, lift] simp #align category_theory.paths.lift_to_path CategoryTheory.Paths.lift_toPath
Mathlib/CategoryTheory/PathCategory.lean
93
100
theorem lift_spec {C} [Category C] (φ : V ⥤q C) : of ⋙q (lift φ).toPrefunctor = φ := by fapply Prefunctor.ext
fapply Prefunctor.ext · rintro X rfl · rintro X Y f rcases φ with ⟨φo, φm⟩ dsimp [lift, Quiver.Hom.toPath] simp only [Category.id_comp]
true
import Mathlib.Combinatorics.SimpleGraph.Subgraph import Mathlib.Data.List.Rotate #align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4" open Function universe u v w namespace SimpleGraph variable {V : Type u} {V' : Type v} {V'' : Type w} variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'') inductive Walk : V → V → Type u | nil {u : V} : Walk u u | cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w deriving DecidableEq #align simple_graph.walk SimpleGraph.Walk attribute [refl] Walk.nil @[simps] instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩ #align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited @[match_pattern, reducible] def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v := Walk.cons h Walk.nil #align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk namespace Walk variable {G} @[match_pattern] abbrev nil' (u : V) : G.Walk u u := Walk.nil #align simple_graph.walk.nil' SimpleGraph.Walk.nil' @[match_pattern] abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p #align simple_graph.walk.cons' SimpleGraph.Walk.cons' protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' := hu ▸ hv ▸ p #align simple_graph.walk.copy SimpleGraph.Walk.copy @[simp] theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl #align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl @[simp]
Mathlib/Combinatorics/SimpleGraph/Connectivity.lean
133
137
theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v) (hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') : (p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by subst_vars
subst_vars rfl
true
import Mathlib.CategoryTheory.Iso import Mathlib.CategoryTheory.EssentialImage import Mathlib.CategoryTheory.Types import Mathlib.CategoryTheory.Opposites import Mathlib.Data.Rel #align_import category_theory.category.Rel from "leanprover-community/mathlib"@"afad8e438d03f9d89da2914aa06cb4964ba87a18" namespace CategoryTheory universe u -- This file is about Lean 3 declaration "Rel". set_option linter.uppercaseLean3 false def RelCat := Type u #align category_theory.Rel CategoryTheory.RelCat instance RelCat.inhabited : Inhabited RelCat := by unfold RelCat; infer_instance #align category_theory.Rel.inhabited CategoryTheory.RelCat.inhabited instance rel : LargeCategory RelCat where Hom X Y := X → Y → Prop id X x y := x = y comp f g x z := ∃ y, f x y ∧ g y z #align category_theory.rel CategoryTheory.rel namespace RelCat @[ext] theorem hom_ext {X Y : RelCat} (f g : X ⟶ Y) (h : ∀ a b, f a b ↔ g a b) : f = g := funext₂ (fun a b => propext (h a b)) namespace Hom protected theorem rel_id (X : RelCat) : 𝟙 X = (· = ·) := rfl protected theorem rel_comp {X Y Z : RelCat} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = Rel.comp f g := rfl
Mathlib/CategoryTheory/Category/RelCat.lean
62
63
theorem rel_id_apply₂ (X : RelCat) (x y : X) : (𝟙 X) x y ↔ x = y := by
rw [RelCat.Hom.rel_id]
true
import Mathlib.Algebra.Group.Support import Mathlib.Algebra.Order.Monoid.WithTop import Mathlib.Data.Nat.Cast.Field #align_import algebra.char_zero.lemmas from "leanprover-community/mathlib"@"acee671f47b8e7972a1eb6f4eed74b4b3abce829" open Function Set section AddMonoidWithOne variable {α M : Type*} [AddMonoidWithOne M] [CharZero M] {n : ℕ} instance CharZero.NeZero.two : NeZero (2 : M) := ⟨by have : ((2 : ℕ) : M) ≠ 0 := Nat.cast_ne_zero.2 (by decide) rwa [Nat.cast_two] at this⟩ #align char_zero.ne_zero.two CharZero.NeZero.two section variable {R : Type*} [NonAssocSemiring R] [NoZeroDivisors R] [CharZero R] {a : R} @[simp] theorem add_self_eq_zero {a : R} : a + a = 0 ↔ a = 0 := by simp only [(two_mul a).symm, mul_eq_zero, two_ne_zero, false_or_iff] #align add_self_eq_zero add_self_eq_zero set_option linter.deprecated false @[simp] theorem bit0_eq_zero {a : R} : bit0 a = 0 ↔ a = 0 := add_self_eq_zero #align bit0_eq_zero bit0_eq_zero @[simp]
Mathlib/Algebra/CharZero/Lemmas.lean
100
102
theorem zero_eq_bit0 {a : R} : 0 = bit0 a ↔ a = 0 := by rw [eq_comm]
rw [eq_comm] exact bit0_eq_zero
true
import Batteries.Data.List.Basic import Batteries.Data.List.Lemmas open Nat namespace List section countP variable (p q : α → Bool) @[simp] theorem countP_nil : countP p [] = 0 := rfl protected theorem countP_go_eq_add (l) : countP.go p l n = n + countP.go p l 0 := by induction l generalizing n with | nil => rfl | cons head tail ih => unfold countP.go rw [ih (n := n + 1), ih (n := n), ih (n := 1)] if h : p head then simp [h, Nat.add_assoc] else simp [h] @[simp] theorem countP_cons_of_pos (l) (pa : p a) : countP p (a :: l) = countP p l + 1 := by have : countP.go p (a :: l) 0 = countP.go p l 1 := show cond .. = _ by rw [pa]; rfl unfold countP rw [this, Nat.add_comm, List.countP_go_eq_add] @[simp] theorem countP_cons_of_neg (l) (pa : ¬p a) : countP p (a :: l) = countP p l := by simp [countP, countP.go, pa] theorem countP_cons (a : α) (l) : countP p (a :: l) = countP p l + if p a then 1 else 0 := by by_cases h : p a <;> simp [h] theorem length_eq_countP_add_countP (l) : length l = countP p l + countP (fun a => ¬p a) l := by induction l with | nil => rfl | cons x h ih => if h : p x then rw [countP_cons_of_pos _ _ h, countP_cons_of_neg _ _ _, length, ih] · rw [Nat.add_assoc, Nat.add_comm _ 1, Nat.add_assoc] · simp only [h, not_true_eq_false, decide_False, not_false_eq_true] else rw [countP_cons_of_pos (fun a => ¬p a) _ _, countP_cons_of_neg _ _ h, length, ih] · rfl · simp only [h, not_false_eq_true, decide_True] theorem countP_eq_length_filter (l) : countP p l = length (filter p l) := by induction l with | nil => rfl | cons x l ih => if h : p x then rw [countP_cons_of_pos p l h, ih, filter_cons_of_pos l h, length] else rw [countP_cons_of_neg p l h, ih, filter_cons_of_neg l h] theorem countP_le_length : countP p l ≤ l.length := by simp only [countP_eq_length_filter] apply length_filter_le @[simp] theorem countP_append (l₁ l₂) : countP p (l₁ ++ l₂) = countP p l₁ + countP p l₂ := by simp only [countP_eq_length_filter, filter_append, length_append] theorem countP_pos : 0 < countP p l ↔ ∃ a ∈ l, p a := by simp only [countP_eq_length_filter, length_pos_iff_exists_mem, mem_filter, exists_prop]
.lake/packages/batteries/Batteries/Data/List/Count.lean
78
79
theorem countP_eq_zero : countP p l = 0 ↔ ∀ a ∈ l, ¬p a := by
simp only [countP_eq_length_filter, length_eq_zero, filter_eq_nil]
true
import Mathlib.Algebra.Category.GroupCat.Colimits import Mathlib.Algebra.Category.GroupCat.FilteredColimits import Mathlib.Algebra.Category.GroupCat.Kernels import Mathlib.Algebra.Category.GroupCat.Limits import Mathlib.Algebra.Category.GroupCat.ZModuleEquivalence import Mathlib.Algebra.Category.ModuleCat.Abelian import Mathlib.CategoryTheory.Abelian.FunctorCategory import Mathlib.CategoryTheory.Limits.ConcreteCategory #align_import algebra.category.Group.abelian from "leanprover-community/mathlib"@"f7baecbb54bd0f24f228576f97b1752fc3c9b318" open CategoryTheory Limits universe u noncomputable section namespace AddCommGroupCat variable {X Y Z : AddCommGroupCat.{u}} (f : X ⟶ Y) (g : Y ⟶ Z) def normalMono (_ : Mono f) : NormalMono f := equivalenceReflectsNormalMono (forget₂ (ModuleCat.{u} ℤ) AddCommGroupCat.{u}).inv <| ModuleCat.normalMono _ inferInstance set_option linter.uppercaseLean3 false in #align AddCommGroup.normal_mono AddCommGroupCat.normalMono def normalEpi (_ : Epi f) : NormalEpi f := equivalenceReflectsNormalEpi (forget₂ (ModuleCat.{u} ℤ) AddCommGroupCat.{u}).inv <| ModuleCat.normalEpi _ inferInstance set_option linter.uppercaseLean3 false in #align AddCommGroup.normal_epi AddCommGroupCat.normalEpi instance : Abelian AddCommGroupCat.{u} where has_finite_products := ⟨HasFiniteProducts.out⟩ normalMonoOfMono := normalMono normalEpiOfEpi := normalEpi
Mathlib/Algebra/Category/GroupCat/Abelian.lean
51
57
theorem exact_iff : Exact f g ↔ f.range = g.ker := by rw [Abelian.exact_iff' f g (kernelIsLimit _) (cokernelIsColimit _)]
rw [Abelian.exact_iff' f g (kernelIsLimit _) (cokernelIsColimit _)] exact ⟨fun h => ((AddMonoidHom.range_le_ker_iff _ _).mpr h.left).antisymm ((QuotientAddGroup.ker_le_range_iff _ _).mpr h.right), fun h => ⟨(AddMonoidHom.range_le_ker_iff _ _).mp h.le, (QuotientAddGroup.ker_le_range_iff _ _).mp h.symm.le⟩⟩
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Finset.Sort import Mathlib.Data.Set.Subsingleton #align_import combinatorics.composition from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" open List variable {n : ℕ} @[ext] structure Composition (n : ℕ) where blocks : List ℕ blocks_pos : ∀ {i}, i ∈ blocks → 0 < i blocks_sum : blocks.sum = n #align composition Composition @[ext] structure CompositionAsSet (n : ℕ) where boundaries : Finset (Fin n.succ) zero_mem : (0 : Fin n.succ) ∈ boundaries getLast_mem : Fin.last n ∈ boundaries #align composition_as_set CompositionAsSet instance {n : ℕ} : Inhabited (CompositionAsSet n) := ⟨⟨Finset.univ, Finset.mem_univ _, Finset.mem_univ _⟩⟩ namespace Composition variable (c : Composition n) instance (n : ℕ) : ToString (Composition n) := ⟨fun c => toString c.blocks⟩ abbrev length : ℕ := c.blocks.length #align composition.length Composition.length theorem blocks_length : c.blocks.length = c.length := rfl #align composition.blocks_length Composition.blocks_length def blocksFun : Fin c.length → ℕ := c.blocks.get #align composition.blocks_fun Composition.blocksFun theorem ofFn_blocksFun : ofFn c.blocksFun = c.blocks := ofFn_get _ #align composition.of_fn_blocks_fun Composition.ofFn_blocksFun theorem sum_blocksFun : ∑ i, c.blocksFun i = n := by conv_rhs => rw [← c.blocks_sum, ← ofFn_blocksFun, sum_ofFn] #align composition.sum_blocks_fun Composition.sum_blocksFun theorem blocksFun_mem_blocks (i : Fin c.length) : c.blocksFun i ∈ c.blocks := get_mem _ _ _ #align composition.blocks_fun_mem_blocks Composition.blocksFun_mem_blocks @[simp] theorem one_le_blocks {i : ℕ} (h : i ∈ c.blocks) : 1 ≤ i := c.blocks_pos h #align composition.one_le_blocks Composition.one_le_blocks @[simp] theorem one_le_blocks' {i : ℕ} (h : i < c.length) : 1 ≤ c.blocks.get ⟨i, h⟩ := c.one_le_blocks (get_mem (blocks c) i h) #align composition.one_le_blocks' Composition.one_le_blocks' @[simp] theorem blocks_pos' (i : ℕ) (h : i < c.length) : 0 < c.blocks.get ⟨i, h⟩ := c.one_le_blocks' h #align composition.blocks_pos' Composition.blocks_pos' theorem one_le_blocksFun (i : Fin c.length) : 1 ≤ c.blocksFun i := c.one_le_blocks (c.blocksFun_mem_blocks i) #align composition.one_le_blocks_fun Composition.one_le_blocksFun theorem length_le : c.length ≤ n := by conv_rhs => rw [← c.blocks_sum] exact length_le_sum_of_one_le _ fun i hi => c.one_le_blocks hi #align composition.length_le Composition.length_le theorem length_pos_of_pos (h : 0 < n) : 0 < c.length := by apply length_pos_of_sum_pos convert h exact c.blocks_sum #align composition.length_pos_of_pos Composition.length_pos_of_pos def sizeUpTo (i : ℕ) : ℕ := (c.blocks.take i).sum #align composition.size_up_to Composition.sizeUpTo @[simp] theorem sizeUpTo_zero : c.sizeUpTo 0 = 0 := by simp [sizeUpTo] #align composition.size_up_to_zero Composition.sizeUpTo_zero theorem sizeUpTo_ofLength_le (i : ℕ) (h : c.length ≤ i) : c.sizeUpTo i = n := by dsimp [sizeUpTo] convert c.blocks_sum exact take_all_of_le h #align composition.size_up_to_of_length_le Composition.sizeUpTo_ofLength_le @[simp] theorem sizeUpTo_length : c.sizeUpTo c.length = n := c.sizeUpTo_ofLength_le c.length le_rfl #align composition.size_up_to_length Composition.sizeUpTo_length
Mathlib/Combinatorics/Enumerative/Composition.lean
218
220
theorem sizeUpTo_le (i : ℕ) : c.sizeUpTo i ≤ n := by conv_rhs => rw [← c.blocks_sum, ← sum_take_add_sum_drop _ i]
conv_rhs => rw [← c.blocks_sum, ← sum_take_add_sum_drop _ i] exact Nat.le_add_right _ _
true
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Algebra.Polynomial.Module.AEval import Mathlib.RingTheory.Derivation.Basic noncomputable section namespace Polynomial section CommSemiring variable {R A : Type*} [CommSemiring R] @[simps] def derivative' : Derivation R R[X] R[X] where toFun := derivative map_add' _ _ := derivative_add map_smul' := derivative_smul map_one_eq_zero' := derivative_one leibniz' f g := by simp [mul_comm, add_comm, derivative_mul] variable [AddCommMonoid A] [Module R A] [Module (Polynomial R) A] @[simp] theorem derivation_C (D : Derivation R R[X] A) (a : R) : D (C a) = 0 := D.map_algebraMap a @[simp] theorem C_smul_derivation_apply (D : Derivation R R[X] A) (a : R) (f : R[X]) : C a • D f = a • D f := by have : C a • D f = D (C a * f) := by simp rw [this, C_mul', D.map_smul] @[ext] theorem derivation_ext {D₁ D₂ : Derivation R R[X] A} (h : D₁ X = D₂ X) : D₁ = D₂ := Derivation.ext fun f => Derivation.eqOn_adjoin (Set.eqOn_singleton.2 h) <| by simp only [adjoin_X, Algebra.coe_top, Set.mem_univ] variable [IsScalarTower R (Polynomial R) A] variable (R) def mkDerivation : A →ₗ[R] Derivation R R[X] A where toFun := fun a ↦ (LinearMap.toSpanSingleton R[X] A a).compDer derivative' map_add' := fun a b ↦ by ext; simp map_smul' := fun t a ↦ by ext; simp lemma mkDerivation_apply (a : A) (f : R[X]) : mkDerivation R a f = derivative f • a := by rfl @[simp]
Mathlib/Algebra/Polynomial/Derivation.lean
67
67
theorem mkDerivation_X (a : A) : mkDerivation R a X = a := by
simp [mkDerivation_apply]
true
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Topology.UrysohnsLemma import Mathlib.Topology.ContinuousFunction.Bounded import Mathlib.Topology.Metrizable.Basic #align_import topology.metric_space.metrizable from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Metric open scoped Topology BoundedContinuousFunction namespace TopologicalSpace section RegularSpace variable (X : Type*) [TopologicalSpace X] [RegularSpace X] [SecondCountableTopology X]
Mathlib/Topology/Metrizable/Urysohn.lean
37
106
theorem exists_inducing_l_infty : ∃ f : X → ℕ →ᵇ ℝ, Inducing f := by -- Choose a countable basis, and consider the set `s` of pairs of set `(U, V)` such that `U ∈ B`,
-- Choose a countable basis, and consider the set `s` of pairs of set `(U, V)` such that `U ∈ B`, -- `V ∈ B`, and `closure U ⊆ V`. rcases exists_countable_basis X with ⟨B, hBc, -, hB⟩ let s : Set (Set X × Set X) := { UV ∈ B ×ˢ B | closure UV.1 ⊆ UV.2 } -- `s` is a countable set. haveI : Encodable s := ((hBc.prod hBc).mono inter_subset_left).toEncodable -- We don't have the space of bounded (possibly discontinuous) functions, so we equip `s` -- with the discrete topology and deal with `s →ᵇ ℝ` instead. letI : TopologicalSpace s := ⊥ haveI : DiscreteTopology s := ⟨rfl⟩ rsuffices ⟨f, hf⟩ : ∃ f : X → s →ᵇ ℝ, Inducing f · exact ⟨fun x => (f x).extend (Encodable.encode' s) 0, (BoundedContinuousFunction.isometry_extend (Encodable.encode' s) (0 : ℕ →ᵇ ℝ)).embedding.toInducing.comp hf⟩ have hd : ∀ UV : s, Disjoint (closure UV.1.1) UV.1.2ᶜ := fun UV => disjoint_compl_right.mono_right (compl_subset_compl.2 UV.2.2) -- Choose a sequence of `εₙ > 0`, `n : s`, that is bounded above by `1` and tends to zero -- along the `cofinite` filter. obtain ⟨ε, ε01, hε⟩ : ∃ ε : s → ℝ, (∀ UV, ε UV ∈ Ioc (0 : ℝ) 1) ∧ Tendsto ε cofinite (𝓝 0) := by rcases posSumOfEncodable zero_lt_one s with ⟨ε, ε0, c, hεc, hc1⟩ refine ⟨ε, fun UV => ⟨ε0 UV, ?_⟩, hεc.summable.tendsto_cofinite_zero⟩ exact (le_hasSum hεc UV fun _ _ => (ε0 _).le).trans hc1 /- For each `UV = (U, V) ∈ s` we use Urysohn's lemma to choose a function `f UV` that is equal to zero on `U` and is equal to `ε UV` on the complement to `V`. -/ have : ∀ UV : s, ∃ f : C(X, ℝ), EqOn f 0 UV.1.1 ∧ EqOn f (fun _ => ε UV) UV.1.2ᶜ ∧ ∀ x, f x ∈ Icc 0 (ε UV) := by intro UV rcases exists_continuous_zero_one_of_isClosed isClosed_closure (hB.isOpen UV.2.1.2).isClosed_compl (hd UV) with ⟨f, hf₀, hf₁, hf01⟩ exact ⟨ε UV • f, fun x hx => by simp [hf₀ (subset_closure hx)], fun x hx => by simp [hf₁ hx], fun x => ⟨mul_nonneg (ε01 _).1.le (hf01 _).1, mul_le_of_le_one_right (ε01 _).1.le (hf01 _).2⟩⟩ choose f hf0 hfε hf0ε using this have hf01 : ∀ UV x, f UV x ∈ Icc (0 : ℝ) 1 := fun UV x => Icc_subset_Icc_right (ε01 _).2 (hf0ε _ _) -- The embedding is given by `F x UV = f UV x`. set F : X → s →ᵇ ℝ := fun x => ⟨⟨fun UV => f UV x, continuous_of_discreteTopology⟩, 1, fun UV₁ UV₂ => Real.dist_le_of_mem_Icc_01 (hf01 _ _) (hf01 _ _)⟩ have hF : ∀ x UV, F x UV = f UV x := fun _ _ => rfl refine ⟨F, inducing_iff_nhds.2 fun x => le_antisymm ?_ ?_⟩ · /- First we prove that `F` is continuous. Given `δ > 0`, consider the set `T` of `(U, V) ∈ s` such that `ε (U, V) ≥ δ`. Since `ε` tends to zero, `T` is finite. Since each `f` is continuous, we can choose a neighborhood such that `dist (F y (U, V)) (F x (U, V)) ≤ δ` for any `(U, V) ∈ T`. For `(U, V) ∉ T`, the same inequality is true because both `F y (U, V)` and `F x (U, V)` belong to the interval `[0, ε (U, V)]`. -/ refine (nhds_basis_closedBall.comap _).ge_iff.2 fun δ δ0 => ?_ have h_fin : { UV : s | δ ≤ ε UV }.Finite := by simpa only [← not_lt] using hε (gt_mem_nhds δ0) have : ∀ᶠ y in 𝓝 x, ∀ UV, δ ≤ ε UV → dist (F y UV) (F x UV) ≤ δ := by refine (eventually_all_finite h_fin).2 fun UV _ => ?_ exact (f UV).continuous.tendsto x (closedBall_mem_nhds _ δ0) refine this.mono fun y hy => (BoundedContinuousFunction.dist_le δ0.le).2 fun UV => ?_ rcases le_total δ (ε UV) with hle | hle exacts [hy _ hle, (Real.dist_le_of_mem_Icc (hf0ε _ _) (hf0ε _ _)).trans (by rwa [sub_zero])] · /- Finally, we prove that each neighborhood `V` of `x : X` includes a preimage of a neighborhood of `F x` under `F`. Without loss of generality, `V` belongs to `B`. Choose `U ∈ B` such that `x ∈ V` and `closure V ⊆ U`. Then the preimage of the `(ε (U, V))`-neighborhood of `F x` is included by `V`. -/ refine ((nhds_basis_ball.comap _).le_basis_iff hB.nhds_hasBasis).2 ?_ rintro V ⟨hVB, hxV⟩ rcases hB.exists_closure_subset (hB.mem_nhds hVB hxV) with ⟨U, hUB, hxU, hUV⟩ set UV : ↥s := ⟨(U, V), ⟨hUB, hVB⟩, hUV⟩ refine ⟨ε UV, (ε01 UV).1, fun y (hy : dist (F y) (F x) < ε UV) => ?_⟩ replace hy : dist (F y UV) (F x UV) < ε UV := (BoundedContinuousFunction.dist_coe_le_dist _).trans_lt hy contrapose! hy rw [hF, hF, hfε UV hy, hf0 UV hxU, Pi.zero_apply, dist_zero_right] exact le_abs_self _
true
import Mathlib.Algebra.Group.Center import Mathlib.Data.Int.Cast.Lemmas #align_import group_theory.subsemigroup.center from "leanprover-community/mathlib"@"1ac8d4304efba9d03fa720d06516fac845aa5353" variable {M : Type*} namespace Set variable (M) @[simp] theorem natCast_mem_center [NonAssocSemiring M] (n : ℕ) : (n : M) ∈ Set.center M where comm _:= by rw [Nat.commute_cast] left_assoc _ _ := by induction n with | zero => rw [Nat.cast_zero, zero_mul, zero_mul, zero_mul] | succ n ihn => rw [Nat.cast_succ, add_mul, one_mul, ihn, add_mul, add_mul, one_mul] mid_assoc _ _ := by induction n with | zero => rw [Nat.cast_zero, zero_mul, mul_zero, zero_mul] | succ n ihn => rw [Nat.cast_succ, add_mul, mul_add, add_mul, ihn, mul_add, one_mul, mul_one] right_assoc _ _ := by induction n with | zero => rw [Nat.cast_zero, mul_zero, mul_zero, mul_zero] | succ n ihn => rw [Nat.cast_succ, mul_add, ihn, mul_add, mul_add, mul_one, mul_one] -- See note [no_index around OfNat.ofNat] @[simp] theorem ofNat_mem_center [NonAssocSemiring M] (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n)) ∈ Set.center M := natCast_mem_center M n @[simp]
Mathlib/Algebra/Ring/Center.lean
46
67
theorem intCast_mem_center [NonAssocRing M] (n : ℤ) : (n : M) ∈ Set.center M where comm _ := by rw [Int.commute_cast]
rw [Int.commute_cast] left_assoc _ _ := match n with | (n : ℕ) => by rw [Int.cast_natCast, (natCast_mem_center _ n).left_assoc _ _] | Int.negSucc n => by rw [Int.cast_negSucc, Nat.cast_add, Nat.cast_one, neg_add_rev, add_mul, add_mul, add_mul, neg_mul, one_mul, neg_mul 1, one_mul, ← neg_mul, add_right_inj, neg_mul, (natCast_mem_center _ n).left_assoc _ _, neg_mul, neg_mul] mid_assoc _ _ := match n with | (n : ℕ) => by rw [Int.cast_natCast, (natCast_mem_center _ n).mid_assoc _ _] | Int.negSucc n => by simp only [Int.cast_negSucc, Nat.cast_add, Nat.cast_one, neg_add_rev] rw [add_mul, mul_add, add_mul, mul_add, neg_mul, one_mul] rw [neg_mul, mul_neg, mul_one, mul_neg, neg_mul, neg_mul] rw [(natCast_mem_center _ n).mid_assoc _ _] simp only [mul_neg] right_assoc _ _ := match n with | (n : ℕ) => by rw [Int.cast_natCast, (natCast_mem_center _ n).right_assoc _ _] | Int.negSucc n => by simp only [Int.cast_negSucc, Nat.cast_add, Nat.cast_one, neg_add_rev] rw [mul_add, mul_add, mul_add, mul_neg, mul_one, mul_neg, mul_neg, mul_one, mul_neg, add_right_inj, (natCast_mem_center _ n).right_assoc _ _, mul_neg, mul_neg]
true
import Mathlib.SetTheory.Ordinal.Arithmetic namespace OrdinalApprox universe u variable {α : Type u} variable [CompleteLattice α] (f : α →o α) (x : α) open Function fixedPoints Cardinal Order OrderHom set_option linter.unusedVariables false in def lfpApprox (a : Ordinal.{u}) : α := sSup ({ f (lfpApprox b) | (b : Ordinal) (h : b < a) } ∪ {x}) termination_by a decreasing_by exact h theorem lfpApprox_monotone : Monotone (lfpApprox f x) := by unfold Monotone; intros a b h; unfold lfpApprox refine sSup_le_sSup ?h apply sup_le_sup_right simp only [exists_prop, Set.le_eq_subset, Set.setOf_subset_setOf, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] intros a' h' use a' exact ⟨lt_of_lt_of_le h' h, rfl⟩
Mathlib/SetTheory/Ordinal/FixedPointApproximants.lean
87
90
theorem le_lfpApprox {a : Ordinal} : x ≤ lfpApprox f x a := by unfold lfpApprox
unfold lfpApprox apply le_sSup simp only [exists_prop, Set.union_singleton, Set.mem_insert_iff, Set.mem_setOf_eq, true_or]
true
import Mathlib.Algebra.Module.Torsion import Mathlib.SetTheory.Cardinal.Cofinality import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.Dimension.StrongRankCondition #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' w variable {R : Type u} {M M₁ : Type v} {M' : Type v'} {ι : Type w} variable [Ring R] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁] variable [Module R M] [Module R M'] [Module R M₁] attribute [local instance] nontrivial_of_invariantBasisNumber open Cardinal Basis Submodule Function Set FiniteDimensional theorem rank_le {n : ℕ} (H : ∀ s : Finset M, (LinearIndependent R fun i : s => (i : M)) → s.card ≤ n) : Module.rank R M ≤ n := by rw [Module.rank_def] apply ciSup_le' rintro ⟨s, li⟩ exact linearIndependent_bounded_of_finset_linearIndependent_bounded H _ li #align rank_le rank_le section RankZero lemma rank_eq_zero_iff : Module.rank R M = 0 ↔ ∀ x : M, ∃ a : R, a ≠ 0 ∧ a • x = 0 := by nontriviality R constructor · contrapose! rintro ⟨x, hx⟩ rw [← Cardinal.one_le_iff_ne_zero] have : LinearIndependent R (fun _ : Unit ↦ x) := linearIndependent_iff.mpr (fun l hl ↦ Finsupp.unique_ext <| not_not.mp fun H ↦ hx _ H ((Finsupp.total_unique _ _ _).symm.trans hl)) simpa using this.cardinal_lift_le_rank · intro h rw [← le_zero_iff, Module.rank_def] apply ciSup_le' intro ⟨s, hs⟩ rw [nonpos_iff_eq_zero, Cardinal.mk_eq_zero_iff, ← not_nonempty_iff] rintro ⟨i : s⟩ obtain ⟨a, ha, ha'⟩ := h i apply ha simpa using DFunLike.congr_fun (linearIndependent_iff.mp hs (Finsupp.single i a) (by simpa)) i variable [Nontrivial R] variable [NoZeroSMulDivisors R M]
Mathlib/LinearAlgebra/Dimension/Finite.lean
70
73
theorem rank_zero_iff_forall_zero : Module.rank R M = 0 ↔ ∀ x : M, x = 0 := by simp_rw [rank_eq_zero_iff, smul_eq_zero, and_or_left, not_and_self_iff, false_or,
simp_rw [rank_eq_zero_iff, smul_eq_zero, and_or_left, not_and_self_iff, false_or, exists_and_right, and_iff_right (exists_ne (0 : R))]
true
import Mathlib.CategoryTheory.ConcreteCategory.Basic import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Shapes.RegularMono import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms #align_import category_theory.limits.mono_coprod from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits universe u namespace CategoryTheory namespace Limits variable (C : Type*) [Category C] class MonoCoprod : Prop where binaryCofan_inl : ∀ ⦃A B : C⦄ (c : BinaryCofan A B) (_ : IsColimit c), Mono c.inl #align category_theory.limits.mono_coprod CategoryTheory.Limits.MonoCoprod variable {C} instance (priority := 100) monoCoprodOfHasZeroMorphisms [HasZeroMorphisms C] : MonoCoprod C := ⟨fun A B c hc => by haveI : IsSplitMono c.inl := IsSplitMono.mk' (SplitMono.mk (hc.desc (BinaryCofan.mk (𝟙 A) 0)) (IsColimit.fac _ _ _)) infer_instance⟩ #align category_theory.limits.mono_coprod_of_has_zero_morphisms CategoryTheory.Limits.monoCoprodOfHasZeroMorphisms namespace MonoCoprod
Mathlib/CategoryTheory/Limits/MonoCoprod.lean
63
69
theorem binaryCofan_inr {A B : C} [MonoCoprod C] (c : BinaryCofan A B) (hc : IsColimit c) : Mono c.inr := by haveI hc' : IsColimit (BinaryCofan.mk c.inr c.inl) :=
haveI hc' : IsColimit (BinaryCofan.mk c.inr c.inl) := BinaryCofan.IsColimit.mk _ (fun f₁ f₂ => hc.desc (BinaryCofan.mk f₂ f₁)) (by aesop_cat) (by aesop_cat) (fun f₁ f₂ m h₁ h₂ => BinaryCofan.IsColimit.hom_ext hc (by aesop_cat) (by aesop_cat)) exact binaryCofan_inl _ hc'
true
import Mathlib.Algebra.CharP.Two import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.Nat.Periodic import Mathlib.Data.ZMod.Basic import Mathlib.Tactic.Monotonicity #align_import data.nat.totient from "leanprover-community/mathlib"@"5cc2dfdd3e92f340411acea4427d701dc7ed26f8" open Finset namespace Nat def totient (n : ℕ) : ℕ := ((range n).filter n.Coprime).card #align nat.totient Nat.totient @[inherit_doc] scoped notation "φ" => Nat.totient @[simp] theorem totient_zero : φ 0 = 0 := rfl #align nat.totient_zero Nat.totient_zero @[simp] theorem totient_one : φ 1 = 1 := rfl #align nat.totient_one Nat.totient_one theorem totient_eq_card_coprime (n : ℕ) : φ n = ((range n).filter n.Coprime).card := rfl #align nat.totient_eq_card_coprime Nat.totient_eq_card_coprime theorem totient_eq_card_lt_and_coprime (n : ℕ) : φ n = Nat.card { m | m < n ∧ n.Coprime m } := by let e : { m | m < n ∧ n.Coprime m } ≃ Finset.filter n.Coprime (Finset.range n) := { toFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩ invFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩ left_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] right_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] } rw [totient_eq_card_coprime, card_congr e, card_eq_fintype_card, Fintype.card_coe] #align nat.totient_eq_card_lt_and_coprime Nat.totient_eq_card_lt_and_coprime theorem totient_le (n : ℕ) : φ n ≤ n := ((range n).card_filter_le _).trans_eq (card_range n) #align nat.totient_le Nat.totient_le theorem totient_lt (n : ℕ) (hn : 1 < n) : φ n < n := (card_lt_card (filter_ssubset.2 ⟨0, by simp [hn.ne', pos_of_gt hn]⟩)).trans_eq (card_range n) #align nat.totient_lt Nat.totient_lt @[simp] theorem totient_eq_zero : ∀ {n : ℕ}, φ n = 0 ↔ n = 0 | 0 => by decide | n + 1 => suffices ∃ x < n + 1, (n + 1).gcd x = 1 by simpa [totient, filter_eq_empty_iff] ⟨1 % (n + 1), mod_lt _ n.succ_pos, by rw [gcd_comm, ← gcd_rec, gcd_one_right]⟩ @[simp] theorem totient_pos {n : ℕ} : 0 < φ n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.totient_pos Nat.totient_pos theorem filter_coprime_Ico_eq_totient (a n : ℕ) : ((Ico n (n + a)).filter (Coprime a)).card = totient a := by rw [totient, filter_Ico_card_eq_of_periodic, count_eq_card_filter_range] exact periodic_coprime a #align nat.filter_coprime_Ico_eq_totient Nat.filter_coprime_Ico_eq_totient
Mathlib/Data/Nat/Totient.lean
84
109
theorem Ico_filter_coprime_le {a : ℕ} (k n : ℕ) (a_pos : 0 < a) : ((Ico k (k + n)).filter (Coprime a)).card ≤ totient a * (n / a + 1) := by conv_lhs => rw [← Nat.mod_add_div n a]
conv_lhs => rw [← Nat.mod_add_div n a] induction' n / a with i ih · rw [← filter_coprime_Ico_eq_totient a k] simp only [add_zero, mul_one, mul_zero, le_of_lt (mod_lt n a_pos), Nat.zero_eq, zero_add] -- Porting note: below line was `mono` refine Finset.card_mono ?_ refine monotone_filter_left a.Coprime ?_ simp only [Finset.le_eq_subset] exact Ico_subset_Ico rfl.le (add_le_add_left (le_of_lt (mod_lt n a_pos)) k) simp only [mul_succ] simp_rw [← add_assoc] at ih ⊢ calc (filter a.Coprime (Ico k (k + n % a + a * i + a))).card = (filter a.Coprime (Ico k (k + n % a + a * i) ∪ Ico (k + n % a + a * i) (k + n % a + a * i + a))).card := by congr rw [Ico_union_Ico_eq_Ico] · rw [add_assoc] exact le_self_add exact le_self_add _ ≤ (filter a.Coprime (Ico k (k + n % a + a * i))).card + a.totient := by rw [filter_union, ← filter_coprime_Ico_eq_totient a (k + n % a + a * i)] apply card_union_le _ ≤ a.totient * i + a.totient + a.totient := add_le_add_right ih (totient a)
true