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import Mathlib.Algebra.MvPolynomial.Equiv import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Adjoin.Basic import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.MvPolynomial.Basic #align_import ring_theory.algebraic_independent from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" noncomputable section open Function Set Subalgebra MvPolynomial Algebra open scoped Classical universe x u v w variable {ι : Type*} {ι' : Type*} (R : Type*) {K : Type*} variable {A : Type*} {A' A'' : Type*} {V : Type u} {V' : Type*} variable (x : ι → A) variable [CommRing R] [CommRing A] [CommRing A'] [CommRing A''] variable [Algebra R A] [Algebra R A'] [Algebra R A''] variable {a b : R} def AlgebraicIndependent : Prop := Injective (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A) #align algebraic_independent AlgebraicIndependent variable {R} {x} theorem algebraicIndependent_iff_ker_eq_bot : AlgebraicIndependent R x ↔ RingHom.ker (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A).toRingHom = ⊥ := RingHom.injective_iff_ker_eq_bot _ #align algebraic_independent_iff_ker_eq_bot algebraicIndependent_iff_ker_eq_bot theorem algebraicIndependent_iff : AlgebraicIndependent R x ↔ ∀ p : MvPolynomial ι R, MvPolynomial.aeval (x : ι → A) p = 0 → p = 0 := injective_iff_map_eq_zero _ #align algebraic_independent_iff algebraicIndependent_iff theorem AlgebraicIndependent.eq_zero_of_aeval_eq_zero (h : AlgebraicIndependent R x) : ∀ p : MvPolynomial ι R, MvPolynomial.aeval (x : ι → A) p = 0 → p = 0 := algebraicIndependent_iff.1 h #align algebraic_independent.eq_zero_of_aeval_eq_zero AlgebraicIndependent.eq_zero_of_aeval_eq_zero theorem algebraicIndependent_iff_injective_aeval : AlgebraicIndependent R x ↔ Injective (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A) := Iff.rfl #align algebraic_independent_iff_injective_aeval algebraicIndependent_iff_injective_aeval @[simp] theorem algebraicIndependent_empty_type_iff [IsEmpty ι] : AlgebraicIndependent R x ↔ Injective (algebraMap R A) := by have : aeval x = (Algebra.ofId R A).comp (@isEmptyAlgEquiv R ι _ _).toAlgHom := by ext i exact IsEmpty.elim' ‹IsEmpty ι› i rw [AlgebraicIndependent, this, ← Injective.of_comp_iff' _ (@isEmptyAlgEquiv R ι _ _).bijective] rfl #align algebraic_independent_empty_type_iff algebraicIndependent_empty_type_iff namespace AlgebraicIndependent variable (hx : AlgebraicIndependent R x) theorem algebraMap_injective : Injective (algebraMap R A) := by simpa [Function.comp] using (Injective.of_comp_iff (algebraicIndependent_iff_injective_aeval.1 hx) MvPolynomial.C).2 (MvPolynomial.C_injective _ _) #align algebraic_independent.algebra_map_injective AlgebraicIndependent.algebraMap_injective theorem linearIndependent : LinearIndependent R x := by rw [linearIndependent_iff_injective_total] have : Finsupp.total ι A R x = (MvPolynomial.aeval x).toLinearMap.comp (Finsupp.total ι _ R X) := by ext simp rw [this] refine hx.comp ?_ rw [← linearIndependent_iff_injective_total] exact linearIndependent_X _ _ #align algebraic_independent.linear_independent AlgebraicIndependent.linearIndependent protected theorem injective [Nontrivial R] : Injective x := hx.linearIndependent.injective #align algebraic_independent.injective AlgebraicIndependent.injective theorem ne_zero [Nontrivial R] (i : ι) : x i ≠ 0 := hx.linearIndependent.ne_zero i #align algebraic_independent.ne_zero AlgebraicIndependent.ne_zero theorem comp (f : ι' → ι) (hf : Function.Injective f) : AlgebraicIndependent R (x ∘ f) := by intro p q simpa [aeval_rename, (rename_injective f hf).eq_iff] using @hx (rename f p) (rename f q) #align algebraic_independent.comp AlgebraicIndependent.comp
Mathlib/RingTheory/AlgebraicIndependent.lean
134
135
theorem coe_range : AlgebraicIndependent R ((↑) : range x → A) := by
simpa using hx.comp _ (rangeSplitting_injective x)
import Mathlib.Data.Set.Pointwise.Interval import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.Order.Group #align_import topology.algebra.order.field from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Set Filter TopologicalSpace Function open scoped Pointwise Topology open OrderDual (toDual ofDual) theorem TopologicalRing.of_norm {R 𝕜 : Type*} [NonUnitalNonAssocRing R] [LinearOrderedField 𝕜] [TopologicalSpace R] [TopologicalAddGroup R] (norm : R → 𝕜) (norm_nonneg : ∀ x, 0 ≤ norm x) (norm_mul_le : ∀ x y, norm (x * y) ≤ norm x * norm y) (nhds_basis : (𝓝 (0 : R)).HasBasis ((0 : 𝕜) < ·) (fun ε ↦ { x | norm x < ε })) : TopologicalRing R := by have h0 : ∀ f : R → R, ∀ c ≥ (0 : 𝕜), (∀ x, norm (f x) ≤ c * norm x) → Tendsto f (𝓝 0) (𝓝 0) := by refine fun f c c0 hf ↦ (nhds_basis.tendsto_iff nhds_basis).2 fun ε ε0 ↦ ?_ rcases exists_pos_mul_lt ε0 c with ⟨δ, δ0, hδ⟩ refine ⟨δ, δ0, fun x hx ↦ (hf _).trans_lt ?_⟩ exact (mul_le_mul_of_nonneg_left (le_of_lt hx) c0).trans_lt hδ apply TopologicalRing.of_addGroup_of_nhds_zero case hmul => refine ((nhds_basis.prod nhds_basis).tendsto_iff nhds_basis).2 fun ε ε0 ↦ ?_ refine ⟨(1, ε), ⟨one_pos, ε0⟩, fun (x, y) ⟨hx, hy⟩ => ?_⟩ simp only [sub_zero] at * calc norm (x * y) ≤ norm x * norm y := norm_mul_le _ _ _ < ε := mul_lt_of_le_one_of_lt_of_nonneg hx.le hy (norm_nonneg _) case hmul_left => exact fun x => h0 _ (norm x) (norm_nonneg _) (norm_mul_le x) case hmul_right => exact fun y => h0 (· * y) (norm y) (norm_nonneg y) fun x => (norm_mul_le x y).trans_eq (mul_comm _ _) variable {𝕜 α : Type*} [LinearOrderedField 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] {l : Filter α} {f g : α → 𝕜} -- see Note [lower instance priority] instance (priority := 100) LinearOrderedField.topologicalRing : TopologicalRing 𝕜 := .of_norm abs abs_nonneg (fun _ _ ↦ (abs_mul _ _).le) <| by simpa using nhds_basis_abs_sub_lt (0 : 𝕜)
Mathlib/Topology/Algebra/Order/Field.lean
63
67
theorem Filter.Tendsto.atTop_mul {C : 𝕜} (hC : 0 < C) (hf : Tendsto f l atTop) (hg : Tendsto g l (𝓝 C)) : Tendsto (fun x => f x * g x) l atTop := by
refine tendsto_atTop_mono' _ ?_ (hf.atTop_mul_const (half_pos hC)) filter_upwards [hg.eventually (lt_mem_nhds (half_lt_self hC)), hf.eventually_ge_atTop 0] with x hg hf using mul_le_mul_of_nonneg_left hg.le hf
import Mathlib.Data.Nat.Prime import Mathlib.Data.PNat.Basic #align_import data.pnat.prime from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f" namespace PNat open Nat def gcd (n m : ℕ+) : ℕ+ := ⟨Nat.gcd (n : ℕ) (m : ℕ), Nat.gcd_pos_of_pos_left (m : ℕ) n.pos⟩ #align pnat.gcd PNat.gcd def lcm (n m : ℕ+) : ℕ+ := ⟨Nat.lcm (n : ℕ) (m : ℕ), by let h := mul_pos n.pos m.pos rw [← gcd_mul_lcm (n : ℕ) (m : ℕ), mul_comm] at h exact pos_of_dvd_of_pos (Dvd.intro (Nat.gcd (n : ℕ) (m : ℕ)) rfl) h⟩ #align pnat.lcm PNat.lcm @[simp, norm_cast] theorem gcd_coe (n m : ℕ+) : (gcd n m : ℕ) = Nat.gcd n m := rfl #align pnat.gcd_coe PNat.gcd_coe @[simp, norm_cast] theorem lcm_coe (n m : ℕ+) : (lcm n m : ℕ) = Nat.lcm n m := rfl #align pnat.lcm_coe PNat.lcm_coe theorem gcd_dvd_left (n m : ℕ+) : gcd n m ∣ n := dvd_iff.2 (Nat.gcd_dvd_left (n : ℕ) (m : ℕ)) #align pnat.gcd_dvd_left PNat.gcd_dvd_left theorem gcd_dvd_right (n m : ℕ+) : gcd n m ∣ m := dvd_iff.2 (Nat.gcd_dvd_right (n : ℕ) (m : ℕ)) #align pnat.gcd_dvd_right PNat.gcd_dvd_right theorem dvd_gcd {m n k : ℕ+} (hm : k ∣ m) (hn : k ∣ n) : k ∣ gcd m n := dvd_iff.2 (Nat.dvd_gcd (dvd_iff.1 hm) (dvd_iff.1 hn)) #align pnat.dvd_gcd PNat.dvd_gcd theorem dvd_lcm_left (n m : ℕ+) : n ∣ lcm n m := dvd_iff.2 (Nat.dvd_lcm_left (n : ℕ) (m : ℕ)) #align pnat.dvd_lcm_left PNat.dvd_lcm_left theorem dvd_lcm_right (n m : ℕ+) : m ∣ lcm n m := dvd_iff.2 (Nat.dvd_lcm_right (n : ℕ) (m : ℕ)) #align pnat.dvd_lcm_right PNat.dvd_lcm_right theorem lcm_dvd {m n k : ℕ+} (hm : m ∣ k) (hn : n ∣ k) : lcm m n ∣ k := dvd_iff.2 (@Nat.lcm_dvd (m : ℕ) (n : ℕ) (k : ℕ) (dvd_iff.1 hm) (dvd_iff.1 hn)) #align pnat.lcm_dvd PNat.lcm_dvd theorem gcd_mul_lcm (n m : ℕ+) : gcd n m * lcm n m = n * m := Subtype.eq (Nat.gcd_mul_lcm (n : ℕ) (m : ℕ)) #align pnat.gcd_mul_lcm PNat.gcd_mul_lcm theorem eq_one_of_lt_two {n : ℕ+} : n < 2 → n = 1 := by intro h; apply le_antisymm; swap · apply PNat.one_le · exact PNat.lt_add_one_iff.1 h #align pnat.eq_one_of_lt_two PNat.eq_one_of_lt_two section Coprime def Coprime (m n : ℕ+) : Prop := m.gcd n = 1 #align pnat.coprime PNat.Coprime @[simp, norm_cast] theorem coprime_coe {m n : ℕ+} : Nat.Coprime ↑m ↑n ↔ m.Coprime n := by unfold Nat.Coprime Coprime rw [← coe_inj] simp #align pnat.coprime_coe PNat.coprime_coe theorem Coprime.mul {k m n : ℕ+} : m.Coprime k → n.Coprime k → (m * n).Coprime k := by repeat rw [← coprime_coe] rw [mul_coe] apply Nat.Coprime.mul #align pnat.coprime.mul PNat.Coprime.mul theorem Coprime.mul_right {k m n : ℕ+} : k.Coprime m → k.Coprime n → k.Coprime (m * n) := by repeat rw [← coprime_coe] rw [mul_coe] apply Nat.Coprime.mul_right #align pnat.coprime.mul_right PNat.Coprime.mul_right theorem gcd_comm {m n : ℕ+} : m.gcd n = n.gcd m := by apply eq simp only [gcd_coe] apply Nat.gcd_comm #align pnat.gcd_comm PNat.gcd_comm theorem gcd_eq_left_iff_dvd {m n : ℕ+} : m ∣ n ↔ m.gcd n = m := by rw [dvd_iff] rw [Nat.gcd_eq_left_iff_dvd] rw [← coe_inj] simp #align pnat.gcd_eq_left_iff_dvd PNat.gcd_eq_left_iff_dvd theorem gcd_eq_right_iff_dvd {m n : ℕ+} : m ∣ n ↔ n.gcd m = m := by rw [gcd_comm] apply gcd_eq_left_iff_dvd #align pnat.gcd_eq_right_iff_dvd PNat.gcd_eq_right_iff_dvd theorem Coprime.gcd_mul_left_cancel (m : ℕ+) {n k : ℕ+} : k.Coprime n → (k * m).gcd n = m.gcd n := by intro h; apply eq; simp only [gcd_coe, mul_coe] apply Nat.Coprime.gcd_mul_left_cancel; simpa #align pnat.coprime.gcd_mul_left_cancel PNat.Coprime.gcd_mul_left_cancel theorem Coprime.gcd_mul_right_cancel (m : ℕ+) {n k : ℕ+} : k.Coprime n → (m * k).gcd n = m.gcd n := by rw [mul_comm]; apply Coprime.gcd_mul_left_cancel #align pnat.coprime.gcd_mul_right_cancel PNat.Coprime.gcd_mul_right_cancel theorem Coprime.gcd_mul_left_cancel_right (m : ℕ+) {n k : ℕ+} : k.Coprime m → m.gcd (k * n) = m.gcd n := by intro h; iterate 2 rw [gcd_comm]; symm; apply Coprime.gcd_mul_left_cancel _ h #align pnat.coprime.gcd_mul_left_cancel_right PNat.Coprime.gcd_mul_left_cancel_right theorem Coprime.gcd_mul_right_cancel_right (m : ℕ+) {n k : ℕ+} : k.Coprime m → m.gcd (n * k) = m.gcd n := by rw [mul_comm]; apply Coprime.gcd_mul_left_cancel_right #align pnat.coprime.gcd_mul_right_cancel_right PNat.Coprime.gcd_mul_right_cancel_right @[simp] theorem one_gcd {n : ℕ+} : gcd 1 n = 1 := by rw [← gcd_eq_left_iff_dvd] apply one_dvd #align pnat.one_gcd PNat.one_gcd @[simp] theorem gcd_one {n : ℕ+} : gcd n 1 = 1 := by rw [gcd_comm] apply one_gcd #align pnat.gcd_one PNat.gcd_one @[symm] theorem Coprime.symm {m n : ℕ+} : m.Coprime n → n.Coprime m := by unfold Coprime rw [gcd_comm] simp #align pnat.coprime.symm PNat.Coprime.symm @[simp] theorem one_coprime {n : ℕ+} : (1 : ℕ+).Coprime n := one_gcd #align pnat.one_coprime PNat.one_coprime @[simp] theorem coprime_one {n : ℕ+} : n.Coprime 1 := Coprime.symm one_coprime #align pnat.coprime_one PNat.coprime_one theorem Coprime.coprime_dvd_left {m k n : ℕ+} : m ∣ k → k.Coprime n → m.Coprime n := by rw [dvd_iff] repeat rw [← coprime_coe] apply Nat.Coprime.coprime_dvd_left #align pnat.coprime.coprime_dvd_left PNat.Coprime.coprime_dvd_left theorem Coprime.factor_eq_gcd_left {a b m n : ℕ+} (cop : m.Coprime n) (am : a ∣ m) (bn : b ∣ n) : a = (a * b).gcd m := by rw [gcd_eq_left_iff_dvd] at am conv_lhs => rw [← am] rw [eq_comm] apply Coprime.gcd_mul_right_cancel a apply Coprime.coprime_dvd_left bn cop.symm #align pnat.coprime.factor_eq_gcd_left PNat.Coprime.factor_eq_gcd_left
Mathlib/Data/PNat/Prime.lean
288
289
theorem Coprime.factor_eq_gcd_right {a b m n : ℕ+} (cop : m.Coprime n) (am : a ∣ m) (bn : b ∣ n) : a = (b * a).gcd m := by
rw [mul_comm]; apply Coprime.factor_eq_gcd_left cop am bn
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Algebra.Polynomial.Eval import Mathlib.GroupTheory.GroupAction.Ring #align_import data.polynomial.derivative from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Finset open Polynomial namespace Polynomial universe u v w y z variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {A : Type z} {a b : R} {n : ℕ} section Derivative section Semiring variable [Semiring R] def derivative : R[X] →ₗ[R] R[X] where toFun p := p.sum fun n a => C (a * n) * X ^ (n - 1) map_add' p q := by dsimp only rw [sum_add_index] <;> simp only [add_mul, forall_const, RingHom.map_add, eq_self_iff_true, zero_mul, RingHom.map_zero] map_smul' a p := by dsimp; rw [sum_smul_index] <;> simp only [mul_sum, ← C_mul', mul_assoc, coeff_C_mul, RingHom.map_mul, forall_const, zero_mul, RingHom.map_zero, sum] #align polynomial.derivative Polynomial.derivative theorem derivative_apply (p : R[X]) : derivative p = p.sum fun n a => C (a * n) * X ^ (n - 1) := rfl #align polynomial.derivative_apply Polynomial.derivative_apply theorem coeff_derivative (p : R[X]) (n : ℕ) : coeff (derivative p) n = coeff p (n + 1) * (n + 1) := by rw [derivative_apply] simp only [coeff_X_pow, coeff_sum, coeff_C_mul] rw [sum, Finset.sum_eq_single (n + 1)] · simp only [Nat.add_succ_sub_one, add_zero, mul_one, if_true, eq_self_iff_true]; norm_cast · intro b cases b · intros rw [Nat.cast_zero, mul_zero, zero_mul] · intro _ H rw [Nat.add_one_sub_one, if_neg (mt (congr_arg Nat.succ) H.symm), mul_zero] · rw [if_pos (add_tsub_cancel_right n 1).symm, mul_one, Nat.cast_add, Nat.cast_one, mem_support_iff] intro h push_neg at h simp [h] #align polynomial.coeff_derivative Polynomial.coeff_derivative -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_zero : derivative (0 : R[X]) = 0 := derivative.map_zero #align polynomial.derivative_zero Polynomial.derivative_zero theorem iterate_derivative_zero {k : ℕ} : derivative^[k] (0 : R[X]) = 0 := iterate_map_zero derivative k #align polynomial.iterate_derivative_zero Polynomial.iterate_derivative_zero @[simp] theorem derivative_monomial (a : R) (n : ℕ) : derivative (monomial n a) = monomial (n - 1) (a * n) := by rw [derivative_apply, sum_monomial_index, C_mul_X_pow_eq_monomial] simp #align polynomial.derivative_monomial Polynomial.derivative_monomial theorem derivative_C_mul_X (a : R) : derivative (C a * X) = C a := by simp [C_mul_X_eq_monomial, derivative_monomial, Nat.cast_one, mul_one] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C_mul_X Polynomial.derivative_C_mul_X theorem derivative_C_mul_X_pow (a : R) (n : ℕ) : derivative (C a * X ^ n) = C (a * n) * X ^ (n - 1) := by rw [C_mul_X_pow_eq_monomial, C_mul_X_pow_eq_monomial, derivative_monomial] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C_mul_X_pow Polynomial.derivative_C_mul_X_pow theorem derivative_C_mul_X_sq (a : R) : derivative (C a * X ^ 2) = C (a * 2) * X := by rw [derivative_C_mul_X_pow, Nat.cast_two, pow_one] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C_mul_X_sq Polynomial.derivative_C_mul_X_sq @[simp] theorem derivative_X_pow (n : ℕ) : derivative (X ^ n : R[X]) = C (n : R) * X ^ (n - 1) := by convert derivative_C_mul_X_pow (1 : R) n <;> simp set_option linter.uppercaseLean3 false in #align polynomial.derivative_X_pow Polynomial.derivative_X_pow -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_X_sq : derivative (X ^ 2 : R[X]) = C 2 * X := by rw [derivative_X_pow, Nat.cast_two, pow_one] set_option linter.uppercaseLean3 false in #align polynomial.derivative_X_sq Polynomial.derivative_X_sq @[simp] theorem derivative_C {a : R} : derivative (C a) = 0 := by simp [derivative_apply] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C Polynomial.derivative_C theorem derivative_of_natDegree_zero {p : R[X]} (hp : p.natDegree = 0) : derivative p = 0 := by rw [eq_C_of_natDegree_eq_zero hp, derivative_C] #align polynomial.derivative_of_nat_degree_zero Polynomial.derivative_of_natDegree_zero @[simp] theorem derivative_X : derivative (X : R[X]) = 1 := (derivative_monomial _ _).trans <| by simp set_option linter.uppercaseLean3 false in #align polynomial.derivative_X Polynomial.derivative_X @[simp] theorem derivative_one : derivative (1 : R[X]) = 0 := derivative_C #align polynomial.derivative_one Polynomial.derivative_one #noalign polynomial.derivative_bit0 #noalign polynomial.derivative_bit1 -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_add {f g : R[X]} : derivative (f + g) = derivative f + derivative g := derivative.map_add f g #align polynomial.derivative_add Polynomial.derivative_add -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_X_add_C (c : R) : derivative (X + C c) = 1 := by rw [derivative_add, derivative_X, derivative_C, add_zero] set_option linter.uppercaseLean3 false in #align polynomial.derivative_X_add_C Polynomial.derivative_X_add_C -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_sum {s : Finset ι} {f : ι → R[X]} : derivative (∑ b ∈ s, f b) = ∑ b ∈ s, derivative (f b) := map_sum .. #align polynomial.derivative_sum Polynomial.derivative_sum -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (s : S) (p : R[X]) : derivative (s • p) = s • derivative p := derivative.map_smul_of_tower s p #align polynomial.derivative_smul Polynomial.derivative_smul @[simp] theorem iterate_derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (s : S) (p : R[X]) (k : ℕ) : derivative^[k] (s • p) = s • derivative^[k] p := by induction' k with k ih generalizing p · simp · simp [ih] #align polynomial.iterate_derivative_smul Polynomial.iterate_derivative_smul @[simp] theorem iterate_derivative_C_mul (a : R) (p : R[X]) (k : ℕ) : derivative^[k] (C a * p) = C a * derivative^[k] p := by simp_rw [← smul_eq_C_mul, iterate_derivative_smul] set_option linter.uppercaseLean3 false in #align polynomial.iterate_derivative_C_mul Polynomial.iterate_derivative_C_mul theorem of_mem_support_derivative {p : R[X]} {n : ℕ} (h : n ∈ p.derivative.support) : n + 1 ∈ p.support := mem_support_iff.2 fun h1 : p.coeff (n + 1) = 0 => mem_support_iff.1 h <| show p.derivative.coeff n = 0 by rw [coeff_derivative, h1, zero_mul] #align polynomial.of_mem_support_derivative Polynomial.of_mem_support_derivative theorem degree_derivative_lt {p : R[X]} (hp : p ≠ 0) : p.derivative.degree < p.degree := (Finset.sup_lt_iff <| bot_lt_iff_ne_bot.2 <| mt degree_eq_bot.1 hp).2 fun n hp => lt_of_lt_of_le (WithBot.coe_lt_coe.2 n.lt_succ_self) <| Finset.le_sup <| of_mem_support_derivative hp #align polynomial.degree_derivative_lt Polynomial.degree_derivative_lt theorem degree_derivative_le {p : R[X]} : p.derivative.degree ≤ p.degree := letI := Classical.decEq R if H : p = 0 then le_of_eq <| by rw [H, derivative_zero] else (degree_derivative_lt H).le #align polynomial.degree_derivative_le Polynomial.degree_derivative_le theorem natDegree_derivative_lt {p : R[X]} (hp : p.natDegree ≠ 0) : p.derivative.natDegree < p.natDegree := by rcases eq_or_ne (derivative p) 0 with hp' | hp' · rw [hp', Polynomial.natDegree_zero] exact hp.bot_lt · rw [natDegree_lt_natDegree_iff hp'] exact degree_derivative_lt fun h => hp (h.symm ▸ natDegree_zero) #align polynomial.nat_degree_derivative_lt Polynomial.natDegree_derivative_lt theorem natDegree_derivative_le (p : R[X]) : p.derivative.natDegree ≤ p.natDegree - 1 := by by_cases p0 : p.natDegree = 0 · simp [p0, derivative_of_natDegree_zero] · exact Nat.le_sub_one_of_lt (natDegree_derivative_lt p0) #align polynomial.nat_degree_derivative_le Polynomial.natDegree_derivative_le theorem natDegree_iterate_derivative (p : R[X]) (k : ℕ) : (derivative^[k] p).natDegree ≤ p.natDegree - k := by induction k with | zero => rw [Function.iterate_zero_apply, Nat.sub_zero] | succ d hd => rw [Function.iterate_succ_apply', Nat.sub_succ'] exact (natDegree_derivative_le _).trans <| Nat.sub_le_sub_right hd 1 @[simp] theorem derivative_natCast {n : ℕ} : derivative (n : R[X]) = 0 := by rw [← map_natCast C n] exact derivative_C #align polynomial.derivative_nat_cast Polynomial.derivative_natCast @[deprecated (since := "2024-04-17")] alias derivative_nat_cast := derivative_natCast -- Porting note (#10756): new theorem @[simp] theorem derivative_ofNat (n : ℕ) [n.AtLeastTwo] : derivative (no_index (OfNat.ofNat n) : R[X]) = 0 := derivative_natCast theorem iterate_derivative_eq_zero {p : R[X]} {x : ℕ} (hx : p.natDegree < x) : Polynomial.derivative^[x] p = 0 := by induction' h : p.natDegree using Nat.strong_induction_on with _ ih generalizing p x subst h obtain ⟨t, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (pos_of_gt hx).ne' rw [Function.iterate_succ_apply] by_cases hp : p.natDegree = 0 · rw [derivative_of_natDegree_zero hp, iterate_derivative_zero] have := natDegree_derivative_lt hp exact ih _ this (this.trans_le <| Nat.le_of_lt_succ hx) rfl #align polynomial.iterate_derivative_eq_zero Polynomial.iterate_derivative_eq_zero @[simp] theorem iterate_derivative_C {k} (h : 0 < k) : derivative^[k] (C a : R[X]) = 0 := iterate_derivative_eq_zero <| (natDegree_C _).trans_lt h set_option linter.uppercaseLean3 false in #align polynomial.iterate_derivative_C Polynomial.iterate_derivative_C @[simp] theorem iterate_derivative_one {k} (h : 0 < k) : derivative^[k] (1 : R[X]) = 0 := iterate_derivative_C h #align polynomial.iterate_derivative_one Polynomial.iterate_derivative_one @[simp] theorem iterate_derivative_X {k} (h : 1 < k) : derivative^[k] (X : R[X]) = 0 := iterate_derivative_eq_zero <| natDegree_X_le.trans_lt h set_option linter.uppercaseLean3 false in #align polynomial.iterate_derivative_X Polynomial.iterate_derivative_X theorem natDegree_eq_zero_of_derivative_eq_zero [NoZeroSMulDivisors ℕ R] {f : R[X]} (h : derivative f = 0) : f.natDegree = 0 := by rcases eq_or_ne f 0 with (rfl | hf) · exact natDegree_zero rw [natDegree_eq_zero_iff_degree_le_zero] by_contra! f_nat_degree_pos rw [← natDegree_pos_iff_degree_pos] at f_nat_degree_pos let m := f.natDegree - 1 have hm : m + 1 = f.natDegree := tsub_add_cancel_of_le f_nat_degree_pos have h2 := coeff_derivative f m rw [Polynomial.ext_iff] at h rw [h m, coeff_zero, ← Nat.cast_add_one, ← nsmul_eq_mul', eq_comm, smul_eq_zero] at h2 replace h2 := h2.resolve_left m.succ_ne_zero rw [hm, ← leadingCoeff, leadingCoeff_eq_zero] at h2 exact hf h2 #align polynomial.nat_degree_eq_zero_of_derivative_eq_zero Polynomial.natDegree_eq_zero_of_derivative_eq_zero theorem eq_C_of_derivative_eq_zero [NoZeroSMulDivisors ℕ R] {f : R[X]} (h : derivative f = 0) : f = C (f.coeff 0) := eq_C_of_natDegree_eq_zero <| natDegree_eq_zero_of_derivative_eq_zero h set_option linter.uppercaseLean3 false in #align polynomial.eq_C_of_derivative_eq_zero Polynomial.eq_C_of_derivative_eq_zero @[simp] theorem derivative_mul {f g : R[X]} : derivative (f * g) = derivative f * g + f * derivative g := by induction f using Polynomial.induction_on' with | h_add => simp only [add_mul, map_add, add_assoc, add_left_comm, *] | h_monomial m a => induction g using Polynomial.induction_on' with | h_add => simp only [mul_add, map_add, add_assoc, add_left_comm, *] | h_monomial n b => simp only [monomial_mul_monomial, derivative_monomial] simp only [mul_assoc, (Nat.cast_commute _ _).eq, Nat.cast_add, mul_add, map_add] cases m with | zero => simp only [zero_add, Nat.cast_zero, mul_zero, map_zero] | succ m => cases n with | zero => simp only [add_zero, Nat.cast_zero, mul_zero, map_zero] | succ n => simp only [Nat.add_succ_sub_one, add_tsub_cancel_right] rw [add_assoc, add_comm n 1] #align polynomial.derivative_mul Polynomial.derivative_mul theorem derivative_eval (p : R[X]) (x : R) : p.derivative.eval x = p.sum fun n a => a * n * x ^ (n - 1) := by simp_rw [derivative_apply, eval_sum, eval_mul_X_pow, eval_C] #align polynomial.derivative_eval Polynomial.derivative_eval @[simp] theorem derivative_map [Semiring S] (p : R[X]) (f : R →+* S) : derivative (p.map f) = p.derivative.map f := by let n := max p.natDegree (map f p).natDegree rw [derivative_apply, derivative_apply] rw [sum_over_range' _ _ (n + 1) ((le_max_left _ _).trans_lt (lt_add_one _))] on_goal 1 => rw [sum_over_range' _ _ (n + 1) ((le_max_right _ _).trans_lt (lt_add_one _))] · simp only [Polynomial.map_sum, Polynomial.map_mul, Polynomial.map_C, map_mul, coeff_map, map_natCast, Polynomial.map_natCast, Polynomial.map_pow, map_X] all_goals intro n; rw [zero_mul, C_0, zero_mul] #align polynomial.derivative_map Polynomial.derivative_map @[simp] theorem iterate_derivative_map [Semiring S] (p : R[X]) (f : R →+* S) (k : ℕ) : Polynomial.derivative^[k] (p.map f) = (Polynomial.derivative^[k] p).map f := by induction' k with k ih generalizing p · simp · simp only [ih, Function.iterate_succ, Polynomial.derivative_map, Function.comp_apply] #align polynomial.iterate_derivative_map Polynomial.iterate_derivative_map theorem derivative_natCast_mul {n : ℕ} {f : R[X]} : derivative ((n : R[X]) * f) = n * derivative f := by simp #align polynomial.derivative_nat_cast_mul Polynomial.derivative_natCast_mul @[deprecated (since := "2024-04-17")] alias derivative_nat_cast_mul := derivative_natCast_mul @[simp]
Mathlib/Algebra/Polynomial/Derivative.lean
342
344
theorem iterate_derivative_natCast_mul {n k : ℕ} {f : R[X]} : derivative^[k] ((n : R[X]) * f) = n * derivative^[k] f := by
induction' k with k ih generalizing f <;> simp [*]
import Mathlib.Algebra.Associated import Mathlib.Algebra.Order.Monoid.Unbundled.Pow import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.nat.prime from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Bool Subtype open Nat namespace Nat variable {n : ℕ} -- Porting note (#11180): removed @[pp_nodot] def Prime (p : ℕ) := Irreducible p #align nat.prime Nat.Prime theorem irreducible_iff_nat_prime (a : ℕ) : Irreducible a ↔ Nat.Prime a := Iff.rfl #align irreducible_iff_nat_prime Nat.irreducible_iff_nat_prime @[aesop safe destruct] theorem not_prime_zero : ¬Prime 0 | h => h.ne_zero rfl #align nat.not_prime_zero Nat.not_prime_zero @[aesop safe destruct] theorem not_prime_one : ¬Prime 1 | h => h.ne_one rfl #align nat.not_prime_one Nat.not_prime_one theorem Prime.ne_zero {n : ℕ} (h : Prime n) : n ≠ 0 := Irreducible.ne_zero h #align nat.prime.ne_zero Nat.Prime.ne_zero theorem Prime.pos {p : ℕ} (pp : Prime p) : 0 < p := Nat.pos_of_ne_zero pp.ne_zero #align nat.prime.pos Nat.Prime.pos theorem Prime.two_le : ∀ {p : ℕ}, Prime p → 2 ≤ p | 0, h => (not_prime_zero h).elim | 1, h => (not_prime_one h).elim | _ + 2, _ => le_add_self #align nat.prime.two_le Nat.Prime.two_le theorem Prime.one_lt {p : ℕ} : Prime p → 1 < p := Prime.two_le #align nat.prime.one_lt Nat.Prime.one_lt lemma Prime.one_le {p : ℕ} (hp : p.Prime) : 1 ≤ p := hp.one_lt.le instance Prime.one_lt' (p : ℕ) [hp : Fact p.Prime] : Fact (1 < p) := ⟨hp.1.one_lt⟩ #align nat.prime.one_lt' Nat.Prime.one_lt' theorem Prime.ne_one {p : ℕ} (hp : p.Prime) : p ≠ 1 := hp.one_lt.ne' #align nat.prime.ne_one Nat.Prime.ne_one theorem Prime.eq_one_or_self_of_dvd {p : ℕ} (pp : p.Prime) (m : ℕ) (hm : m ∣ p) : m = 1 ∨ m = p := by obtain ⟨n, hn⟩ := hm have := pp.isUnit_or_isUnit hn rw [Nat.isUnit_iff, Nat.isUnit_iff] at this apply Or.imp_right _ this rintro rfl rw [hn, mul_one] #align nat.prime.eq_one_or_self_of_dvd Nat.Prime.eq_one_or_self_of_dvd theorem prime_def_lt'' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, m ∣ p → m = 1 ∨ m = p := by refine ⟨fun h => ⟨h.two_le, h.eq_one_or_self_of_dvd⟩, fun h => ?_⟩ -- Porting note: needed to make ℕ explicit have h1 := (@one_lt_two ℕ ..).trans_le h.1 refine ⟨mt Nat.isUnit_iff.mp h1.ne', fun a b hab => ?_⟩ simp only [Nat.isUnit_iff] apply Or.imp_right _ (h.2 a _) · rintro rfl rw [← mul_right_inj' (pos_of_gt h1).ne', ← hab, mul_one] · rw [hab] exact dvd_mul_right _ _ #align nat.prime_def_lt'' Nat.prime_def_lt'' theorem prime_def_lt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m < p, m ∣ p → m = 1 := prime_def_lt''.trans <| and_congr_right fun p2 => forall_congr' fun _ => ⟨fun h l d => (h d).resolve_right (ne_of_lt l), fun h d => (le_of_dvd (le_of_succ_le p2) d).lt_or_eq_dec.imp_left fun l => h l d⟩ #align nat.prime_def_lt Nat.prime_def_lt theorem prime_def_lt' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m < p → ¬m ∣ p := prime_def_lt.trans <| and_congr_right fun p2 => forall_congr' fun m => ⟨fun h m2 l d => not_lt_of_ge m2 ((h l d).symm ▸ by decide), fun h l d => by rcases m with (_ | _ | m) · rw [eq_zero_of_zero_dvd d] at p2 revert p2 decide · rfl · exact (h le_add_self l).elim d⟩ #align nat.prime_def_lt' Nat.prime_def_lt' theorem prime_def_le_sqrt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m ≤ sqrt p → ¬m ∣ p := prime_def_lt'.trans <| and_congr_right fun p2 => ⟨fun a m m2 l => a m m2 <| lt_of_le_of_lt l <| sqrt_lt_self p2, fun a => have : ∀ {m k : ℕ}, m ≤ k → 1 < m → p ≠ m * k := fun {m k} mk m1 e => a m m1 (le_sqrt.2 (e.symm ▸ Nat.mul_le_mul_left m mk)) ⟨k, e⟩ fun m m2 l ⟨k, e⟩ => by rcases le_total m k with mk | km · exact this mk m2 e · rw [mul_comm] at e refine this km (lt_of_mul_lt_mul_right ?_ (zero_le m)) e rwa [one_mul, ← e]⟩ #align nat.prime_def_le_sqrt Nat.prime_def_le_sqrt theorem prime_of_coprime (n : ℕ) (h1 : 1 < n) (h : ∀ m < n, m ≠ 0 → n.Coprime m) : Prime n := by refine prime_def_lt.mpr ⟨h1, fun m mlt mdvd => ?_⟩ have hm : m ≠ 0 := by rintro rfl rw [zero_dvd_iff] at mdvd exact mlt.ne' mdvd exact (h m mlt hm).symm.eq_one_of_dvd mdvd #align nat.prime_of_coprime Nat.prime_of_coprime section @[local instance] def decidablePrime1 (p : ℕ) : Decidable (Prime p) := decidable_of_iff' _ prime_def_lt' #align nat.decidable_prime_1 Nat.decidablePrime1 theorem prime_two : Prime 2 := by decide #align nat.prime_two Nat.prime_two theorem prime_three : Prime 3 := by decide #align nat.prime_three Nat.prime_three theorem prime_five : Prime 5 := by decide theorem Prime.five_le_of_ne_two_of_ne_three {p : ℕ} (hp : p.Prime) (h_two : p ≠ 2) (h_three : p ≠ 3) : 5 ≤ p := by by_contra! h revert h_two h_three hp -- Porting note (#11043): was `decide!` match p with | 0 => decide | 1 => decide | 2 => decide | 3 => decide | 4 => decide | n + 5 => exact (h.not_le le_add_self).elim #align nat.prime.five_le_of_ne_two_of_ne_three Nat.Prime.five_le_of_ne_two_of_ne_three end theorem Prime.pred_pos {p : ℕ} (pp : Prime p) : 0 < pred p := lt_pred_iff.2 pp.one_lt #align nat.prime.pred_pos Nat.Prime.pred_pos theorem succ_pred_prime {p : ℕ} (pp : Prime p) : succ (pred p) = p := succ_pred_eq_of_pos pp.pos #align nat.succ_pred_prime Nat.succ_pred_prime theorem dvd_prime {p m : ℕ} (pp : Prime p) : m ∣ p ↔ m = 1 ∨ m = p := ⟨fun d => pp.eq_one_or_self_of_dvd m d, fun h => h.elim (fun e => e.symm ▸ one_dvd _) fun e => e.symm ▸ dvd_rfl⟩ #align nat.dvd_prime Nat.dvd_prime theorem dvd_prime_two_le {p m : ℕ} (pp : Prime p) (H : 2 ≤ m) : m ∣ p ↔ m = p := (dvd_prime pp).trans <| or_iff_right_of_imp <| Not.elim <| ne_of_gt H #align nat.dvd_prime_two_le Nat.dvd_prime_two_le theorem prime_dvd_prime_iff_eq {p q : ℕ} (pp : p.Prime) (qp : q.Prime) : p ∣ q ↔ p = q := dvd_prime_two_le qp (Prime.two_le pp) #align nat.prime_dvd_prime_iff_eq Nat.prime_dvd_prime_iff_eq theorem Prime.not_dvd_one {p : ℕ} (pp : Prime p) : ¬p ∣ 1 := Irreducible.not_dvd_one pp #align nat.prime.not_dvd_one Nat.Prime.not_dvd_one theorem prime_mul_iff {a b : ℕ} : Nat.Prime (a * b) ↔ a.Prime ∧ b = 1 ∨ b.Prime ∧ a = 1 := by simp only [iff_self_iff, irreducible_mul_iff, ← irreducible_iff_nat_prime, Nat.isUnit_iff] #align nat.prime_mul_iff Nat.prime_mul_iff theorem not_prime_mul {a b : ℕ} (a1 : a ≠ 1) (b1 : b ≠ 1) : ¬Prime (a * b) := by simp [prime_mul_iff, _root_.not_or, *] #align nat.not_prime_mul Nat.not_prime_mul theorem not_prime_mul' {a b n : ℕ} (h : a * b = n) (h₁ : a ≠ 1) (h₂ : b ≠ 1) : ¬Prime n := h ▸ not_prime_mul h₁ h₂ #align nat.not_prime_mul' Nat.not_prime_mul'
Mathlib/Data/Nat/Prime.lean
231
236
theorem Prime.dvd_iff_eq {p a : ℕ} (hp : p.Prime) (a1 : a ≠ 1) : a ∣ p ↔ p = a := by
refine ⟨?_, by rintro rfl; rfl⟩ rintro ⟨j, rfl⟩ rcases prime_mul_iff.mp hp with (⟨_, rfl⟩ | ⟨_, rfl⟩) · exact mul_one _ · exact (a1 rfl).elim
import Mathlib.Data.Nat.Prime #align_import data.int.nat_prime from "leanprover-community/mathlib"@"422e70f7ce183d2900c586a8cda8381e788a0c62" open Nat namespace Int theorem not_prime_of_int_mul {a b : ℤ} {c : ℕ} (ha : a.natAbs ≠ 1) (hb : b.natAbs ≠ 1) (hc : a * b = (c : ℤ)) : ¬Nat.Prime c := not_prime_mul' (natAbs_mul_natAbs_eq hc) ha hb #align int.not_prime_of_int_mul Int.not_prime_of_int_mul theorem succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul {p : ℕ} (p_prime : Nat.Prime p) {m n : ℤ} {k l : ℕ} (hpm : ↑(p ^ k) ∣ m) (hpn : ↑(p ^ l) ∣ n) (hpmn : ↑(p ^ (k + l + 1)) ∣ m * n) : ↑(p ^ (k + 1)) ∣ m ∨ ↑(p ^ (l + 1)) ∣ n := have hpm' : p ^ k ∣ m.natAbs := Int.natCast_dvd_natCast.1 <| Int.dvd_natAbs.2 hpm have hpn' : p ^ l ∣ n.natAbs := Int.natCast_dvd_natCast.1 <| Int.dvd_natAbs.2 hpn have hpmn' : p ^ (k + l + 1) ∣ m.natAbs * n.natAbs := by rw [← Int.natAbs_mul]; apply Int.natCast_dvd_natCast.1 <| Int.dvd_natAbs.2 hpmn let hsd := Nat.succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul p_prime hpm' hpn' hpmn' hsd.elim (fun hsd1 => Or.inl (by apply Int.dvd_natAbs.1; apply Int.natCast_dvd_natCast.2 hsd1)) fun hsd2 => Or.inr (by apply Int.dvd_natAbs.1; apply Int.natCast_dvd_natCast.2 hsd2) #align int.succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul Int.succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul
Mathlib/Data/Int/NatPrime.lean
36
39
theorem Prime.dvd_natAbs_of_coe_dvd_sq {p : ℕ} (hp : p.Prime) (k : ℤ) (h : (p : ℤ) ∣ k ^ 2) : p ∣ k.natAbs := by
apply @Nat.Prime.dvd_of_dvd_pow _ _ 2 hp rwa [sq, ← natAbs_mul, ← natCast_dvd, ← sq]
import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.UniformEmbedding import Mathlib.Topology.UniformSpace.CompleteSeparated import Mathlib.Topology.UniformSpace.Compact import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Topology.DiscreteSubset import Mathlib.Tactic.Abel #align_import topology.algebra.uniform_group from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" noncomputable section open scoped Classical open Uniformity Topology Filter Pointwise section UniformGroup open Filter Set variable {α : Type*} {β : Type*} class UniformGroup (α : Type*) [UniformSpace α] [Group α] : Prop where uniformContinuous_div : UniformContinuous fun p : α × α => p.1 / p.2 #align uniform_group UniformGroup class UniformAddGroup (α : Type*) [UniformSpace α] [AddGroup α] : Prop where uniformContinuous_sub : UniformContinuous fun p : α × α => p.1 - p.2 #align uniform_add_group UniformAddGroup attribute [to_additive] UniformGroup @[to_additive] theorem UniformGroup.mk' {α} [UniformSpace α] [Group α] (h₁ : UniformContinuous fun p : α × α => p.1 * p.2) (h₂ : UniformContinuous fun p : α => p⁻¹) : UniformGroup α := ⟨by simpa only [div_eq_mul_inv] using h₁.comp (uniformContinuous_fst.prod_mk (h₂.comp uniformContinuous_snd))⟩ #align uniform_group.mk' UniformGroup.mk' #align uniform_add_group.mk' UniformAddGroup.mk' variable [UniformSpace α] [Group α] [UniformGroup α] @[to_additive] theorem uniformContinuous_div : UniformContinuous fun p : α × α => p.1 / p.2 := UniformGroup.uniformContinuous_div #align uniform_continuous_div uniformContinuous_div #align uniform_continuous_sub uniformContinuous_sub @[to_additive] theorem UniformContinuous.div [UniformSpace β] {f : β → α} {g : β → α} (hf : UniformContinuous f) (hg : UniformContinuous g) : UniformContinuous fun x => f x / g x := uniformContinuous_div.comp (hf.prod_mk hg) #align uniform_continuous.div UniformContinuous.div #align uniform_continuous.sub UniformContinuous.sub @[to_additive] theorem UniformContinuous.inv [UniformSpace β] {f : β → α} (hf : UniformContinuous f) : UniformContinuous fun x => (f x)⁻¹ := by have : UniformContinuous fun x => 1 / f x := uniformContinuous_const.div hf simp_all #align uniform_continuous.inv UniformContinuous.inv #align uniform_continuous.neg UniformContinuous.neg @[to_additive] theorem uniformContinuous_inv : UniformContinuous fun x : α => x⁻¹ := uniformContinuous_id.inv #align uniform_continuous_inv uniformContinuous_inv #align uniform_continuous_neg uniformContinuous_neg @[to_additive] theorem UniformContinuous.mul [UniformSpace β] {f : β → α} {g : β → α} (hf : UniformContinuous f) (hg : UniformContinuous g) : UniformContinuous fun x => f x * g x := by have : UniformContinuous fun x => f x / (g x)⁻¹ := hf.div hg.inv simp_all #align uniform_continuous.mul UniformContinuous.mul #align uniform_continuous.add UniformContinuous.add @[to_additive] theorem uniformContinuous_mul : UniformContinuous fun p : α × α => p.1 * p.2 := uniformContinuous_fst.mul uniformContinuous_snd #align uniform_continuous_mul uniformContinuous_mul #align uniform_continuous_add uniformContinuous_add @[to_additive UniformContinuous.const_nsmul] theorem UniformContinuous.pow_const [UniformSpace β] {f : β → α} (hf : UniformContinuous f) : ∀ n : ℕ, UniformContinuous fun x => f x ^ n | 0 => by simp_rw [pow_zero] exact uniformContinuous_const | n + 1 => by simp_rw [pow_succ'] exact hf.mul (hf.pow_const n) #align uniform_continuous.pow_const UniformContinuous.pow_const #align uniform_continuous.const_nsmul UniformContinuous.const_nsmul @[to_additive uniformContinuous_const_nsmul] theorem uniformContinuous_pow_const (n : ℕ) : UniformContinuous fun x : α => x ^ n := uniformContinuous_id.pow_const n #align uniform_continuous_pow_const uniformContinuous_pow_const #align uniform_continuous_const_nsmul uniformContinuous_const_nsmul @[to_additive UniformContinuous.const_zsmul] theorem UniformContinuous.zpow_const [UniformSpace β] {f : β → α} (hf : UniformContinuous f) : ∀ n : ℤ, UniformContinuous fun x => f x ^ n | (n : ℕ) => by simp_rw [zpow_natCast] exact hf.pow_const _ | Int.negSucc n => by simp_rw [zpow_negSucc] exact (hf.pow_const _).inv #align uniform_continuous.zpow_const UniformContinuous.zpow_const #align uniform_continuous.const_zsmul UniformContinuous.const_zsmul @[to_additive uniformContinuous_const_zsmul] theorem uniformContinuous_zpow_const (n : ℤ) : UniformContinuous fun x : α => x ^ n := uniformContinuous_id.zpow_const n #align uniform_continuous_zpow_const uniformContinuous_zpow_const #align uniform_continuous_const_zsmul uniformContinuous_const_zsmul @[to_additive] instance (priority := 10) UniformGroup.to_topologicalGroup : TopologicalGroup α where continuous_mul := uniformContinuous_mul.continuous continuous_inv := uniformContinuous_inv.continuous #align uniform_group.to_topological_group UniformGroup.to_topologicalGroup #align uniform_add_group.to_topological_add_group UniformAddGroup.to_topologicalAddGroup @[to_additive] instance [UniformSpace β] [Group β] [UniformGroup β] : UniformGroup (α × β) := ⟨((uniformContinuous_fst.comp uniformContinuous_fst).div (uniformContinuous_fst.comp uniformContinuous_snd)).prod_mk ((uniformContinuous_snd.comp uniformContinuous_fst).div (uniformContinuous_snd.comp uniformContinuous_snd))⟩ @[to_additive] instance Pi.instUniformGroup {ι : Type*} {G : ι → Type*} [∀ i, UniformSpace (G i)] [∀ i, Group (G i)] [∀ i, UniformGroup (G i)] : UniformGroup (∀ i, G i) where uniformContinuous_div := uniformContinuous_pi.mpr fun i ↦ (uniformContinuous_proj G i).comp uniformContinuous_fst |>.div <| (uniformContinuous_proj G i).comp uniformContinuous_snd @[to_additive] theorem uniformity_translate_mul (a : α) : ((𝓤 α).map fun x : α × α => (x.1 * a, x.2 * a)) = 𝓤 α := le_antisymm (uniformContinuous_id.mul uniformContinuous_const) (calc 𝓤 α = ((𝓤 α).map fun x : α × α => (x.1 * a⁻¹, x.2 * a⁻¹)).map fun x : α × α => (x.1 * a, x.2 * a) := by simp [Filter.map_map, (· ∘ ·)] _ ≤ (𝓤 α).map fun x : α × α => (x.1 * a, x.2 * a) := Filter.map_mono (uniformContinuous_id.mul uniformContinuous_const) ) #align uniformity_translate_mul uniformity_translate_mul #align uniformity_translate_add uniformity_translate_add @[to_additive]
Mathlib/Topology/Algebra/UniformGroup.lean
187
192
theorem uniformEmbedding_translate_mul (a : α) : UniformEmbedding fun x : α => x * a := { comap_uniformity := by
nth_rw 1 [← uniformity_translate_mul a, comap_map] rintro ⟨p₁, p₂⟩ ⟨q₁, q₂⟩ simp only [Prod.mk.injEq, mul_left_inj, imp_self] inj := mul_left_injective a }
import Mathlib.RingTheory.EisensteinCriterion import Mathlib.RingTheory.Polynomial.ScaleRoots #align_import ring_theory.polynomial.eisenstein.basic from "leanprover-community/mathlib"@"2032a878972d5672e7c27c957e7a6e297b044973" universe u v w z variable {R : Type u} open Ideal Algebra Finset open Polynomial namespace Polynomial @[mk_iff] structure IsWeaklyEisensteinAt [CommSemiring R] (f : R[X]) (𝓟 : Ideal R) : Prop where mem : ∀ {n}, n < f.natDegree → f.coeff n ∈ 𝓟 #align polynomial.is_weakly_eisenstein_at Polynomial.IsWeaklyEisensteinAt @[mk_iff] structure IsEisensteinAt [CommSemiring R] (f : R[X]) (𝓟 : Ideal R) : Prop where leading : f.leadingCoeff ∉ 𝓟 mem : ∀ {n}, n < f.natDegree → f.coeff n ∈ 𝓟 not_mem : f.coeff 0 ∉ 𝓟 ^ 2 #align polynomial.is_eisenstein_at Polynomial.IsEisensteinAt namespace IsWeaklyEisensteinAt section CommRing variable [CommRing R] {𝓟 : Ideal R} {f : R[X]} (hf : f.IsWeaklyEisensteinAt 𝓟) variable {S : Type v} [CommRing S] [Algebra R S] section Principal variable {p : R}
Mathlib/RingTheory/Polynomial/Eisenstein/Basic.lean
83
108
theorem exists_mem_adjoin_mul_eq_pow_natDegree {x : S} (hx : aeval x f = 0) (hmo : f.Monic) (hf : f.IsWeaklyEisensteinAt (Submodule.span R {p})) : ∃ y ∈ adjoin R ({x} : Set S), (algebraMap R S) p * y = x ^ (f.map (algebraMap R S)).natDegree := by
rw [aeval_def, Polynomial.eval₂_eq_eval_map, eval_eq_sum_range, range_add_one, sum_insert not_mem_range_self, sum_range, (hmo.map (algebraMap R S)).coeff_natDegree, one_mul] at hx replace hx := eq_neg_of_add_eq_zero_left hx have : ∀ n < f.natDegree, p ∣ f.coeff n := by intro n hn exact mem_span_singleton.1 (by simpa using hf.mem hn) choose! φ hφ using this conv_rhs at hx => congr congr · skip ext i rw [coeff_map, hφ i.1 (lt_of_lt_of_le i.2 (natDegree_map_le _ _)), RingHom.map_mul, mul_assoc] rw [hx, ← mul_sum, neg_eq_neg_one_mul, ← mul_assoc (-1 : S), mul_comm (-1 : S), mul_assoc] refine ⟨-1 * ∑ i : Fin (f.map (algebraMap R S)).natDegree, (algebraMap R S) (φ i.1) * x ^ i.1, ?_, rfl⟩ exact Subalgebra.mul_mem _ (Subalgebra.neg_mem _ (Subalgebra.one_mem _)) (Subalgebra.sum_mem _ fun i _ => Subalgebra.mul_mem _ (Subalgebra.algebraMap_mem _ _) (Subalgebra.pow_mem _ (subset_adjoin (Set.mem_singleton x)) _))
import Mathlib.Analysis.Calculus.ContDiff.Defs import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.Deriv.Inverse #align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical NNReal Nat local notation "∞" => (⊤ : ℕ∞) universe u v w uD uE uF uG attribute [local instance 1001] NormedAddCommGroup.toAddCommGroup NormedSpace.toModule' AddCommGroup.toAddCommMonoid open Set Fin Filter Function open scoped Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D] [NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F} {g : F → G} {x x₀ : E} {c : F} {b : E × F → G} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F} @[simp] theorem iteratedFDerivWithin_zero_fun (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} : iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s x = 0 := by induction i generalizing x with | zero => ext; simp | succ i IH => ext m rw [iteratedFDerivWithin_succ_apply_left, fderivWithin_congr (fun _ ↦ IH) (IH hx)] rw [fderivWithin_const_apply _ (hs x hx)] rfl @[simp] theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 := funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using iteratedFDerivWithin_zero_fun uniqueDiffOn_univ (mem_univ x) #align iterated_fderiv_zero_fun iteratedFDeriv_zero_fun theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) := contDiff_of_differentiable_iteratedFDeriv fun m _ => by rw [iteratedFDeriv_zero_fun] exact differentiable_const (0 : E[×m]→L[𝕜] F) #align cont_diff_zero_fun contDiff_zero_fun theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c := by suffices h : ContDiff 𝕜 ∞ fun _ : E => c from h.of_le le_top rw [contDiff_top_iff_fderiv] refine ⟨differentiable_const c, ?_⟩ rw [fderiv_const] exact contDiff_zero_fun #align cont_diff_const contDiff_const theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s := contDiff_const.contDiffOn #align cont_diff_on_const contDiffOn_const theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x := contDiff_const.contDiffAt #align cont_diff_at_const contDiffAt_const theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x := contDiffAt_const.contDiffWithinAt #align cont_diff_within_at_const contDiffWithinAt_const @[nontriviality] theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const #align cont_diff_of_subsingleton contDiff_of_subsingleton @[nontriviality]
Mathlib/Analysis/Calculus/ContDiff/Basic.lean
112
113
theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const
import Mathlib.Algebra.Algebra.Spectrum import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.Nilpotent.Basic #align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" universe u v w namespace Module namespace End open FiniteDimensional Set variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K] [AddCommGroup V] [Module K V] def eigenspace (f : End R M) (μ : R) : Submodule R M := LinearMap.ker (f - algebraMap R (End R M) μ) #align module.End.eigenspace Module.End.eigenspace @[simp] theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace] #align module.End.eigenspace_zero Module.End.eigenspace_zero def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop := x ∈ eigenspace f μ ∧ x ≠ 0 #align module.End.has_eigenvector Module.End.HasEigenvector def HasEigenvalue (f : End R M) (a : R) : Prop := eigenspace f a ≠ ⊥ #align module.End.has_eigenvalue Module.End.HasEigenvalue def Eigenvalues (f : End R M) : Type _ := { μ : R // f.HasEigenvalue μ } #align module.End.eigenvalues Module.End.Eigenvalues @[coe] def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where coe := Eigenvalues.val f instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) : DecidableEq (Eigenvalues f) := inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x))) theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) : HasEigenvalue f μ := by rw [HasEigenvalue, Submodule.ne_bot_iff] use x; exact h #align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero] #align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) : f x = μ • x := mem_eigenspace_iff.mp hx.1 #align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) : (f ^ n) v = μ ^ n • v := by induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ] theorem HasEigenvalue.exists_hasEigenvector {f : End R M} {μ : R} (hμ : f.HasEigenvalue μ) : ∃ v, f.HasEigenvector μ v := Submodule.exists_mem_ne_zero_of_ne_bot hμ #align module.End.has_eigenvalue.exists_has_eigenvector Module.End.HasEigenvalue.exists_hasEigenvector lemma HasEigenvalue.pow {f : End R M} {μ : R} (h : f.HasEigenvalue μ) (n : ℕ) : (f ^ n).HasEigenvalue (μ ^ n) := by rw [HasEigenvalue, Submodule.ne_bot_iff] obtain ⟨m : M, hm⟩ := h.exists_hasEigenvector exact ⟨m, by simpa [mem_eigenspace_iff] using hm.pow_apply n, hm.2⟩ lemma HasEigenvalue.isNilpotent_of_isNilpotent [NoZeroSMulDivisors R M] {f : End R M} (hfn : IsNilpotent f) {μ : R} (hf : f.HasEigenvalue μ) : IsNilpotent μ := by obtain ⟨m : M, hm⟩ := hf.exists_hasEigenvector obtain ⟨n : ℕ, hn : f ^ n = 0⟩ := hfn exact ⟨n, by simpa [hn, hm.2, eq_comm (a := (0 : M))] using hm.pow_apply n⟩ theorem HasEigenvalue.mem_spectrum {f : End R M} {μ : R} (hμ : HasEigenvalue f μ) : μ ∈ spectrum R f := by refine spectrum.mem_iff.mpr fun h_unit => ?_ set f' := LinearMap.GeneralLinearGroup.toLinearEquiv h_unit.unit rcases hμ.exists_hasEigenvector with ⟨v, hv⟩ refine hv.2 ((LinearMap.ker_eq_bot'.mp f'.ker) v (?_ : μ • v - f v = 0)) rw [hv.apply_eq_smul, sub_self] #align module.End.mem_spectrum_of_has_eigenvalue Module.End.HasEigenvalue.mem_spectrum theorem hasEigenvalue_iff_mem_spectrum [FiniteDimensional K V] {f : End K V} {μ : K} : f.HasEigenvalue μ ↔ μ ∈ spectrum K f := by rw [spectrum.mem_iff, IsUnit.sub_iff, LinearMap.isUnit_iff_ker_eq_bot, HasEigenvalue, eigenspace] #align module.End.has_eigenvalue_iff_mem_spectrum Module.End.hasEigenvalue_iff_mem_spectrum alias ⟨_, HasEigenvalue.of_mem_spectrum⟩ := hasEigenvalue_iff_mem_spectrum theorem eigenspace_div (f : End K V) (a b : K) (hb : b ≠ 0) : eigenspace f (a / b) = LinearMap.ker (b • f - algebraMap K (End K V) a) := calc eigenspace f (a / b) = eigenspace f (b⁻¹ * a) := by rw [div_eq_mul_inv, mul_comm] _ = LinearMap.ker (f - (b⁻¹ * a) • LinearMap.id) := by rw [eigenspace]; rfl _ = LinearMap.ker (f - b⁻¹ • a • LinearMap.id) := by rw [smul_smul] _ = LinearMap.ker (f - b⁻¹ • algebraMap K (End K V) a) := rfl _ = LinearMap.ker (b • (f - b⁻¹ • algebraMap K (End K V) a)) := by rw [LinearMap.ker_smul _ b hb] _ = LinearMap.ker (b • f - algebraMap K (End K V) a) := by rw [smul_sub, smul_inv_smul₀ hb] #align module.End.eigenspace_div Module.End.eigenspace_div def genEigenspace (f : End R M) (μ : R) : ℕ →o Submodule R M where toFun k := LinearMap.ker ((f - algebraMap R (End R M) μ) ^ k) monotone' k m hm := by simp only [← pow_sub_mul_pow _ hm] exact LinearMap.ker_le_ker_comp ((f - algebraMap R (End R M) μ) ^ k) ((f - algebraMap R (End R M) μ) ^ (m - k)) #align module.End.generalized_eigenspace Module.End.genEigenspace @[simp] theorem mem_genEigenspace (f : End R M) (μ : R) (k : ℕ) (m : M) : m ∈ f.genEigenspace μ k ↔ ((f - μ • (1 : End R M)) ^ k) m = 0 := Iff.rfl #align module.End.mem_generalized_eigenspace Module.End.mem_genEigenspace @[simp] theorem genEigenspace_zero (f : End R M) (k : ℕ) : f.genEigenspace 0 k = LinearMap.ker (f ^ k) := by simp [Module.End.genEigenspace] #align module.End.generalized_eigenspace_zero Module.End.genEigenspace_zero def HasGenEigenvector (f : End R M) (μ : R) (k : ℕ) (x : M) : Prop := x ≠ 0 ∧ x ∈ genEigenspace f μ k #align module.End.has_generalized_eigenvector Module.End.HasGenEigenvector def HasGenEigenvalue (f : End R M) (μ : R) (k : ℕ) : Prop := genEigenspace f μ k ≠ ⊥ #align module.End.has_generalized_eigenvalue Module.End.HasGenEigenvalue def genEigenrange (f : End R M) (μ : R) (k : ℕ) : Submodule R M := LinearMap.range ((f - algebraMap R (End R M) μ) ^ k) #align module.End.generalized_eigenrange Module.End.genEigenrange theorem exp_ne_zero_of_hasGenEigenvalue {f : End R M} {μ : R} {k : ℕ} (h : f.HasGenEigenvalue μ k) : k ≠ 0 := by rintro rfl exact h LinearMap.ker_id #align module.End.exp_ne_zero_of_has_generalized_eigenvalue Module.End.exp_ne_zero_of_hasGenEigenvalue def maxGenEigenspace (f : End R M) (μ : R) : Submodule R M := ⨆ k, f.genEigenspace μ k #align module.End.maximal_generalized_eigenspace Module.End.maxGenEigenspace theorem genEigenspace_le_maximal (f : End R M) (μ : R) (k : ℕ) : f.genEigenspace μ k ≤ f.maxGenEigenspace μ := le_iSup _ _ #align module.End.generalized_eigenspace_le_maximal Module.End.genEigenspace_le_maximal @[simp] theorem mem_maxGenEigenspace (f : End R M) (μ : R) (m : M) : m ∈ f.maxGenEigenspace μ ↔ ∃ k : ℕ, ((f - μ • (1 : End R M)) ^ k) m = 0 := by simp only [maxGenEigenspace, ← mem_genEigenspace, Submodule.mem_iSup_of_chain] #align module.End.mem_maximal_generalized_eigenspace Module.End.mem_maxGenEigenspace noncomputable def maxGenEigenspaceIndex (f : End R M) (μ : R) := monotonicSequenceLimitIndex (f.genEigenspace μ) #align module.End.maximal_generalized_eigenspace_index Module.End.maxGenEigenspaceIndex
Mathlib/LinearAlgebra/Eigenspace/Basic.lean
239
243
theorem maxGenEigenspace_eq [h : IsNoetherian R M] (f : End R M) (μ : R) : maxGenEigenspace f μ = f.genEigenspace μ (maxGenEigenspaceIndex f μ) := by
rw [isNoetherian_iff_wellFounded] at h exact (WellFounded.iSup_eq_monotonicSequenceLimit h (f.genEigenspace μ) : _)
import Mathlib.GroupTheory.Coprod.Basic import Mathlib.GroupTheory.Complement open Monoid Coprod Multiplicative Subgroup Function def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Con (G ∗ Multiplicative ℤ) := conGen (fun x y => ∃ (a : A), x = inr (ofAdd 1) * inl (a : G) ∧ y = inl (φ a : G) * inr (ofAdd 1)) def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ := (HNNExtension.con G A B φ).Quotient variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*} [Group H] {M : Type*} [Monoid M] instance : Group (HNNExtension G A B φ) := by delta HNNExtension; infer_instance namespace HNNExtension def of : G →* HNNExtension G A B φ := (HNNExtension.con G A B φ).mk'.comp inl def t : HNNExtension G A B φ := (HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1) theorem t_mul_of (a : A) : t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t := (Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩ theorem of_mul_t (b : B) : (of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by rw [t_mul_of]; simp theorem equiv_eq_conj (a : A) : (of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by rw [t_mul_of]; simp theorem equiv_symm_eq_conj (b : B) : (of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by rw [mul_assoc, of_mul_t]; simp
Mathlib/GroupTheory/HNNExtension.lean
81
83
theorem inv_t_mul_of (b : B) : t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
import Mathlib.Topology.MetricSpace.ProperSpace import Mathlib.Topology.MetricSpace.Cauchy open Set Filter Bornology open scoped ENNReal Uniformity Topology Pointwise universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} variable [PseudoMetricSpace α] namespace Metric #align metric.bounded Bornology.IsBounded section Bounded variable {x : α} {s t : Set α} {r : ℝ} #noalign metric.bounded_iff_is_bounded #align metric.bounded_empty Bornology.isBounded_empty #align metric.bounded_iff_mem_bounded Bornology.isBounded_iff_forall_mem #align metric.bounded.mono Bornology.IsBounded.subset theorem isBounded_closedBall : IsBounded (closedBall x r) := isBounded_iff.2 ⟨r + r, fun y hy z hz => calc dist y z ≤ dist y x + dist z x := dist_triangle_right _ _ _ _ ≤ r + r := add_le_add hy hz⟩ #align metric.bounded_closed_ball Metric.isBounded_closedBall theorem isBounded_ball : IsBounded (ball x r) := isBounded_closedBall.subset ball_subset_closedBall #align metric.bounded_ball Metric.isBounded_ball theorem isBounded_sphere : IsBounded (sphere x r) := isBounded_closedBall.subset sphere_subset_closedBall #align metric.bounded_sphere Metric.isBounded_sphere theorem isBounded_iff_subset_closedBall (c : α) : IsBounded s ↔ ∃ r, s ⊆ closedBall c r := ⟨fun h ↦ (isBounded_iff.1 (h.insert c)).imp fun _r hr _x hx ↦ hr (.inr hx) (mem_insert _ _), fun ⟨_r, hr⟩ ↦ isBounded_closedBall.subset hr⟩ #align metric.bounded_iff_subset_ball Metric.isBounded_iff_subset_closedBall theorem _root_.Bornology.IsBounded.subset_closedBall (h : IsBounded s) (c : α) : ∃ r, s ⊆ closedBall c r := (isBounded_iff_subset_closedBall c).1 h #align metric.bounded.subset_ball Bornology.IsBounded.subset_closedBall theorem _root_.Bornology.IsBounded.subset_ball_lt (h : IsBounded s) (a : ℝ) (c : α) : ∃ r, a < r ∧ s ⊆ ball c r := let ⟨r, hr⟩ := h.subset_closedBall c ⟨max r a + 1, (le_max_right _ _).trans_lt (lt_add_one _), hr.trans <| closedBall_subset_ball <| (le_max_left _ _).trans_lt (lt_add_one _)⟩ theorem _root_.Bornology.IsBounded.subset_ball (h : IsBounded s) (c : α) : ∃ r, s ⊆ ball c r := (h.subset_ball_lt 0 c).imp fun _ ↦ And.right theorem isBounded_iff_subset_ball (c : α) : IsBounded s ↔ ∃ r, s ⊆ ball c r := ⟨(IsBounded.subset_ball · c), fun ⟨_r, hr⟩ ↦ isBounded_ball.subset hr⟩ theorem _root_.Bornology.IsBounded.subset_closedBall_lt (h : IsBounded s) (a : ℝ) (c : α) : ∃ r, a < r ∧ s ⊆ closedBall c r := let ⟨r, har, hr⟩ := h.subset_ball_lt a c ⟨r, har, hr.trans ball_subset_closedBall⟩ #align metric.bounded.subset_ball_lt Bornology.IsBounded.subset_closedBall_lt theorem isBounded_closure_of_isBounded (h : IsBounded s) : IsBounded (closure s) := let ⟨C, h⟩ := isBounded_iff.1 h isBounded_iff.2 ⟨C, fun _a ha _b hb => isClosed_Iic.closure_subset <| map_mem_closure₂ continuous_dist ha hb h⟩ #align metric.bounded_closure_of_bounded Metric.isBounded_closure_of_isBounded protected theorem _root_.Bornology.IsBounded.closure (h : IsBounded s) : IsBounded (closure s) := isBounded_closure_of_isBounded h #align metric.bounded.closure Bornology.IsBounded.closure @[simp] theorem isBounded_closure_iff : IsBounded (closure s) ↔ IsBounded s := ⟨fun h => h.subset subset_closure, fun h => h.closure⟩ #align metric.bounded_closure_iff Metric.isBounded_closure_iff #align metric.bounded_union Bornology.isBounded_union #align metric.bounded.union Bornology.IsBounded.union #align metric.bounded_bUnion Bornology.isBounded_biUnion #align metric.bounded.prod Bornology.IsBounded.prod theorem hasBasis_cobounded_compl_closedBall (c : α) : (cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (closedBall c r)ᶜ) := ⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_closedBall c).trans <| by simp⟩ theorem hasBasis_cobounded_compl_ball (c : α) : (cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (ball c r)ᶜ) := ⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_ball c).trans <| by simp⟩ @[simp] theorem comap_dist_right_atTop (c : α) : comap (dist · c) atTop = cobounded α := (atTop_basis.comap _).eq_of_same_basis <| by simpa only [compl_def, mem_ball, not_lt] using hasBasis_cobounded_compl_ball c @[simp] theorem comap_dist_left_atTop (c : α) : comap (dist c) atTop = cobounded α := by simpa only [dist_comm _ c] using comap_dist_right_atTop c @[simp] theorem tendsto_dist_right_atTop_iff (c : α) {f : β → α} {l : Filter β} : Tendsto (fun x ↦ dist (f x) c) l atTop ↔ Tendsto f l (cobounded α) := by rw [← comap_dist_right_atTop c, tendsto_comap_iff, Function.comp_def] @[simp] theorem tendsto_dist_left_atTop_iff (c : α) {f : β → α} {l : Filter β} : Tendsto (fun x ↦ dist c (f x)) l atTop ↔ Tendsto f l (cobounded α) := by simp only [dist_comm c, tendsto_dist_right_atTop_iff] theorem tendsto_dist_right_cobounded_atTop (c : α) : Tendsto (dist · c) (cobounded α) atTop := tendsto_iff_comap.2 (comap_dist_right_atTop c).ge theorem tendsto_dist_left_cobounded_atTop (c : α) : Tendsto (dist c) (cobounded α) atTop := tendsto_iff_comap.2 (comap_dist_left_atTop c).ge theorem _root_.TotallyBounded.isBounded {s : Set α} (h : TotallyBounded s) : IsBounded s := -- We cover the totally bounded set by finitely many balls of radius 1, -- and then argue that a finite union of bounded sets is bounded let ⟨_t, fint, subs⟩ := (totallyBounded_iff.mp h) 1 zero_lt_one ((isBounded_biUnion fint).2 fun _ _ => isBounded_ball).subset subs #align totally_bounded.bounded TotallyBounded.isBounded theorem _root_.IsCompact.isBounded {s : Set α} (h : IsCompact s) : IsBounded s := -- A compact set is totally bounded, thus bounded h.totallyBounded.isBounded #align is_compact.bounded IsCompact.isBounded #align metric.bounded_of_finite Set.Finite.isBounded #align set.finite.bounded Set.Finite.isBounded #align metric.bounded_singleton Bornology.isBounded_singleton theorem cobounded_le_cocompact : cobounded α ≤ cocompact α := hasBasis_cocompact.ge_iff.2 fun _s hs ↦ hs.isBounded #align comap_dist_right_at_top_le_cocompact Metric.cobounded_le_cocompactₓ #align comap_dist_left_at_top_le_cocompact Metric.cobounded_le_cocompactₓ
Mathlib/Topology/MetricSpace/Bounded.lean
175
180
theorem isCobounded_iff_closedBall_compl_subset {s : Set α} (c : α) : IsCobounded s ↔ ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := by
rw [← isBounded_compl_iff, isBounded_iff_subset_closedBall c] apply exists_congr intro r rw [compl_subset_comm]
import Mathlib.Algebra.Group.Commute.Units import Mathlib.Algebra.Group.Int import Mathlib.Algebra.GroupWithZero.Semiconj import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.int.gcd from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47" namespace Nat def xgcdAux : ℕ → ℤ → ℤ → ℕ → ℤ → ℤ → ℕ × ℤ × ℤ | 0, _, _, r', s', t' => (r', s', t') | succ k, s, t, r', s', t' => let q := r' / succ k xgcdAux (r' % succ k) (s' - q * s) (t' - q * t) (succ k) s t termination_by k => k decreasing_by exact mod_lt _ <| (succ_pos _).gt #align nat.xgcd_aux Nat.xgcdAux @[simp] theorem xgcd_zero_left {s t r' s' t'} : xgcdAux 0 s t r' s' t' = (r', s', t') := by simp [xgcdAux] #align nat.xgcd_zero_left Nat.xgcd_zero_left theorem xgcdAux_rec {r s t r' s' t'} (h : 0 < r) : xgcdAux r s t r' s' t' = xgcdAux (r' % r) (s' - r' / r * s) (t' - r' / r * t) r s t := by obtain ⟨r, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h.ne' simp [xgcdAux] #align nat.xgcd_aux_rec Nat.xgcdAux_rec def xgcd (x y : ℕ) : ℤ × ℤ := (xgcdAux x 1 0 y 0 1).2 #align nat.xgcd Nat.xgcd def gcdA (x y : ℕ) : ℤ := (xgcd x y).1 #align nat.gcd_a Nat.gcdA def gcdB (x y : ℕ) : ℤ := (xgcd x y).2 #align nat.gcd_b Nat.gcdB @[simp] theorem gcdA_zero_left {s : ℕ} : gcdA 0 s = 0 := by unfold gcdA rw [xgcd, xgcd_zero_left] #align nat.gcd_a_zero_left Nat.gcdA_zero_left @[simp] theorem gcdB_zero_left {s : ℕ} : gcdB 0 s = 1 := by unfold gcdB rw [xgcd, xgcd_zero_left] #align nat.gcd_b_zero_left Nat.gcdB_zero_left @[simp] theorem gcdA_zero_right {s : ℕ} (h : s ≠ 0) : gcdA s 0 = 1 := by unfold gcdA xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_a_zero_right Nat.gcdA_zero_right @[simp] theorem gcdB_zero_right {s : ℕ} (h : s ≠ 0) : gcdB s 0 = 0 := by unfold gcdB xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_b_zero_right Nat.gcdB_zero_right @[simp] theorem xgcdAux_fst (x y) : ∀ s t s' t', (xgcdAux x s t y s' t').1 = gcd x y := gcd.induction x y (by simp) fun x y h IH s t s' t' => by simp only [h, xgcdAux_rec, IH] rw [← gcd_rec] #align nat.xgcd_aux_fst Nat.xgcdAux_fst theorem xgcdAux_val (x y) : xgcdAux x 1 0 y 0 1 = (gcd x y, xgcd x y) := by rw [xgcd, ← xgcdAux_fst x y 1 0 0 1] #align nat.xgcd_aux_val Nat.xgcdAux_val theorem xgcd_val (x y) : xgcd x y = (gcdA x y, gcdB x y) := by unfold gcdA gcdB; cases xgcd x y; rfl #align nat.xgcd_val Nat.xgcd_val section variable (x y : ℕ) private def P : ℕ × ℤ × ℤ → Prop | (r, s, t) => (r : ℤ) = x * s + y * t
Mathlib/Data/Int/GCD.lean
123
132
theorem xgcdAux_P {r r'} : ∀ {s t s' t'}, P x y (r, s, t) → P x y (r', s', t') → P x y (xgcdAux r s t r' s' t') := by
induction r, r' using gcd.induction with | H0 => simp | H1 a b h IH => intro s t s' t' p p' rw [xgcdAux_rec h]; refine IH ?_ p; dsimp [P] at * rw [Int.emod_def]; generalize (b / a : ℤ) = k rw [p, p', Int.mul_sub, sub_add_eq_add_sub, Int.mul_sub, Int.add_mul, mul_comm k t, mul_comm k s, ← mul_assoc, ← mul_assoc, add_comm (x * s * k), ← add_sub_assoc, sub_sub]
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Data.Vector.Defs import Mathlib.Data.List.Nodup import Mathlib.Data.List.OfFn import Mathlib.Data.List.InsertNth import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" set_option autoImplicit true universe u variable {n : ℕ} namespace Vector variable {α : Type*} @[inherit_doc] infixr:67 " ::ᵥ " => Vector.cons attribute [simp] head_cons tail_cons instance [Inhabited α] : Inhabited (Vector α n) := ⟨ofFn default⟩ theorem toList_injective : Function.Injective (@toList α n) := Subtype.val_injective #align vector.to_list_injective Vector.toList_injective @[ext] theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w | ⟨v, hv⟩, ⟨w, hw⟩, h => Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩) #align vector.ext Vector.ext instance zero_subsingleton : Subsingleton (Vector α 0) := ⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩ #align vector.zero_subsingleton Vector.zero_subsingleton @[simp] theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val | ⟨_, _⟩ => rfl #align vector.cons_val Vector.cons_val #align vector.cons_head Vector.head_cons #align vector.cons_tail Vector.tail_cons theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' := ⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h => _root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩ #align vector.eq_cons_iff Vector.eq_cons_iff theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by rw [Ne, eq_cons_iff a v v', not_and_or] #align vector.ne_cons_iff Vector.ne_cons_iff theorem exists_eq_cons (v : Vector α n.succ) : ∃ (a : α) (as : Vector α n), v = a ::ᵥ as := ⟨v.head, v.tail, (eq_cons_iff v.head v v.tail).2 ⟨rfl, rfl⟩⟩ #align vector.exists_eq_cons Vector.exists_eq_cons @[simp] theorem toList_ofFn : ∀ {n} (f : Fin n → α), toList (ofFn f) = List.ofFn f | 0, f => by rw [ofFn, List.ofFn_zero, toList, nil] | n + 1, f => by rw [ofFn, List.ofFn_succ, toList_cons, toList_ofFn] #align vector.to_list_of_fn Vector.toList_ofFn @[simp] theorem mk_toList : ∀ (v : Vector α n) (h), (⟨toList v, h⟩ : Vector α n) = v | ⟨_, _⟩, _ => rfl #align vector.mk_to_list Vector.mk_toList @[simp] theorem length_val (v : Vector α n) : v.val.length = n := v.2 -- Porting note: not used in mathlib and coercions done differently in Lean 4 -- @[simp] -- theorem length_coe (v : Vector α n) : -- ((coe : { l : List α // l.length = n } → List α) v).length = n := -- v.2 #noalign vector.length_coe @[simp] theorem toList_map {β : Type*} (v : Vector α n) (f : α → β) : (v.map f).toList = v.toList.map f := by cases v; rfl #align vector.to_list_map Vector.toList_map @[simp] theorem head_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).head = f v.head := by obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v rw [h, map_cons, head_cons, head_cons] #align vector.head_map Vector.head_map @[simp] theorem tail_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).tail = v.tail.map f := by obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v rw [h, map_cons, tail_cons, tail_cons] #align vector.tail_map Vector.tail_map theorem get_eq_get (v : Vector α n) (i : Fin n) : v.get i = v.toList.get (Fin.cast v.toList_length.symm i) := rfl #align vector.nth_eq_nth_le Vector.get_eq_getₓ @[simp] theorem get_replicate (a : α) (i : Fin n) : (Vector.replicate n a).get i = a := by apply List.get_replicate #align vector.nth_repeat Vector.get_replicate @[simp] theorem get_map {β : Type*} (v : Vector α n) (f : α → β) (i : Fin n) : (v.map f).get i = f (v.get i) := by cases v; simp [Vector.map, get_eq_get]; rfl #align vector.nth_map Vector.get_map @[simp] theorem map₂_nil (f : α → β → γ) : Vector.map₂ f nil nil = nil := rfl @[simp] theorem map₂_cons (hd₁ : α) (tl₁ : Vector α n) (hd₂ : β) (tl₂ : Vector β n) (f : α → β → γ) : Vector.map₂ f (hd₁ ::ᵥ tl₁) (hd₂ ::ᵥ tl₂) = f hd₁ hd₂ ::ᵥ (Vector.map₂ f tl₁ tl₂) := rfl @[simp] theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f i := by conv_rhs => erw [← List.get_ofFn f ⟨i, by simp⟩] simp only [get_eq_get] congr <;> simp [Fin.heq_ext_iff] #align vector.nth_of_fn Vector.get_ofFn @[simp] theorem ofFn_get (v : Vector α n) : ofFn (get v) = v := by rcases v with ⟨l, rfl⟩ apply toList_injective dsimp simpa only [toList_ofFn] using List.ofFn_get _ #align vector.of_fn_nth Vector.ofFn_get def _root_.Equiv.vectorEquivFin (α : Type*) (n : ℕ) : Vector α n ≃ (Fin n → α) := ⟨Vector.get, Vector.ofFn, Vector.ofFn_get, fun f => funext <| Vector.get_ofFn f⟩ #align equiv.vector_equiv_fin Equiv.vectorEquivFin theorem get_tail (x : Vector α n) (i) : x.tail.get i = x.get ⟨i.1 + 1, by omega⟩ := by cases' i with i ih; dsimp rcases x with ⟨_ | _, h⟩ <;> try rfl rw [List.length] at h rw [← h] at ih contradiction #align vector.nth_tail Vector.get_tail @[simp] theorem get_tail_succ : ∀ (v : Vector α n.succ) (i : Fin n), get (tail v) i = get v i.succ | ⟨a :: l, e⟩, ⟨i, h⟩ => by simp [get_eq_get]; rfl #align vector.nth_tail_succ Vector.get_tail_succ @[simp] theorem tail_val : ∀ v : Vector α n.succ, v.tail.val = v.val.tail | ⟨_ :: _, _⟩ => rfl #align vector.tail_val Vector.tail_val @[simp] theorem tail_nil : (@nil α).tail = nil := rfl #align vector.tail_nil Vector.tail_nil @[simp] theorem singleton_tail : ∀ (v : Vector α 1), v.tail = Vector.nil | ⟨[_], _⟩ => rfl #align vector.singleton_tail Vector.singleton_tail @[simp] theorem tail_ofFn {n : ℕ} (f : Fin n.succ → α) : tail (ofFn f) = ofFn fun i => f i.succ := (ofFn_get _).symm.trans <| by congr funext i rw [get_tail, get_ofFn] rfl #align vector.tail_of_fn Vector.tail_ofFn @[simp] theorem toList_empty (v : Vector α 0) : v.toList = [] := List.length_eq_zero.mp v.2 #align vector.to_list_empty Vector.toList_empty @[simp] theorem toList_singleton (v : Vector α 1) : v.toList = [v.head] := by rw [← v.cons_head_tail] simp only [toList_cons, toList_nil, head_cons, eq_self_iff_true, and_self_iff, singleton_tail] #align vector.to_list_singleton Vector.toList_singleton @[simp] theorem empty_toList_eq_ff (v : Vector α (n + 1)) : v.toList.isEmpty = false := match v with | ⟨_ :: _, _⟩ => rfl #align vector.empty_to_list_eq_ff Vector.empty_toList_eq_ff
Mathlib/Data/Vector/Basic.lean
221
222
theorem not_empty_toList (v : Vector α (n + 1)) : ¬v.toList.isEmpty := by
simp only [empty_toList_eq_ff, Bool.coe_sort_false, not_false_iff]
import Mathlib.Analysis.LocallyConvex.Bounded import Mathlib.Topology.Algebra.Module.StrongTopology #align_import analysis.normed_space.compact_operator from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open Function Set Filter Bornology Metric Pointwise Topology def IsCompactOperator {M₁ M₂ : Type*} [Zero M₁] [TopologicalSpace M₁] [TopologicalSpace M₂] (f : M₁ → M₂) : Prop := ∃ K, IsCompact K ∧ f ⁻¹' K ∈ (𝓝 0 : Filter M₁) #align is_compact_operator IsCompactOperator theorem isCompactOperator_zero {M₁ M₂ : Type*} [Zero M₁] [TopologicalSpace M₁] [TopologicalSpace M₂] [Zero M₂] : IsCompactOperator (0 : M₁ → M₂) := ⟨{0}, isCompact_singleton, mem_of_superset univ_mem fun _ _ => rfl⟩ #align is_compact_operator_zero isCompactOperator_zero section Characterizations section variable {R₁ R₂ : Type*} [Semiring R₁] [Semiring R₂] {σ₁₂ : R₁ →+* R₂} {M₁ M₂ : Type*} [TopologicalSpace M₁] [AddCommMonoid M₁] [TopologicalSpace M₂] theorem isCompactOperator_iff_exists_mem_nhds_image_subset_compact (f : M₁ → M₂) : IsCompactOperator f ↔ ∃ V ∈ (𝓝 0 : Filter M₁), ∃ K : Set M₂, IsCompact K ∧ f '' V ⊆ K := ⟨fun ⟨K, hK, hKf⟩ => ⟨f ⁻¹' K, hKf, K, hK, image_preimage_subset _ _⟩, fun ⟨_, hV, K, hK, hVK⟩ => ⟨K, hK, mem_of_superset hV (image_subset_iff.mp hVK)⟩⟩ #align is_compact_operator_iff_exists_mem_nhds_image_subset_compact isCompactOperator_iff_exists_mem_nhds_image_subset_compact
Mathlib/Analysis/NormedSpace/CompactOperator.lean
84
89
theorem isCompactOperator_iff_exists_mem_nhds_isCompact_closure_image [T2Space M₂] (f : M₁ → M₂) : IsCompactOperator f ↔ ∃ V ∈ (𝓝 0 : Filter M₁), IsCompact (closure <| f '' V) := by
rw [isCompactOperator_iff_exists_mem_nhds_image_subset_compact] exact ⟨fun ⟨V, hV, K, hK, hKV⟩ => ⟨V, hV, hK.closure_of_subset hKV⟩, fun ⟨V, hV, hVc⟩ => ⟨V, hV, closure (f '' V), hVc, subset_closure⟩⟩
import Mathlib.CategoryTheory.Abelian.Basic import Mathlib.CategoryTheory.Preadditive.FunctorCategory import Mathlib.CategoryTheory.Limits.Shapes.FunctorCategory import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Kernels #align_import category_theory.abelian.functor_category from "leanprover-community/mathlib"@"8abfb3ba5e211d8376b855dab5d67f9eba9e0774" noncomputable section namespace CategoryTheory open CategoryTheory.Limits namespace Abelian section universe z w v u -- Porting note: removed restrictions on universes variable {C : Type u} [Category.{v} C] variable {D : Type w} [Category.{z} D] [Abelian D] namespace FunctorCategory variable {F G : C ⥤ D} (α : F ⟶ G) (X : C) @[simps!] def coimageObjIso : (Abelian.coimage α).obj X ≅ Abelian.coimage (α.app X) := PreservesCokernel.iso ((evaluation C D).obj X) _ ≪≫ cokernel.mapIso _ _ (PreservesKernel.iso ((evaluation C D).obj X) _) (Iso.refl _) (by dsimp simp only [Category.comp_id, PreservesKernel.iso_hom] exact (kernelComparison_comp_ι _ ((evaluation C D).obj X)).symm) #align category_theory.abelian.functor_category.coimage_obj_iso CategoryTheory.Abelian.FunctorCategory.coimageObjIso @[simps!] def imageObjIso : (Abelian.image α).obj X ≅ Abelian.image (α.app X) := PreservesKernel.iso ((evaluation C D).obj X) _ ≪≫ kernel.mapIso _ _ (Iso.refl _) (PreservesCokernel.iso ((evaluation C D).obj X) _) (by apply (cancel_mono (PreservesCokernel.iso ((evaluation C D).obj X) α).inv).1 simp only [Category.assoc, Iso.hom_inv_id] dsimp simp only [PreservesCokernel.iso_inv, Category.id_comp, Category.comp_id] exact (π_comp_cokernelComparison _ ((evaluation C D).obj X)).symm) #align category_theory.abelian.functor_category.image_obj_iso CategoryTheory.Abelian.FunctorCategory.imageObjIso
Mathlib/CategoryTheory/Abelian/FunctorCategory.lean
64
76
theorem coimageImageComparison_app : coimageImageComparison (α.app X) = (coimageObjIso α X).inv ≫ (coimageImageComparison α).app X ≫ (imageObjIso α X).hom := by
ext dsimp dsimp [imageObjIso, coimageObjIso, cokernel.map] simp only [coimage_image_factorisation, PreservesKernel.iso_hom, Category.assoc, kernel.lift_ι, Category.comp_id, PreservesCokernel.iso_inv, cokernel.π_desc_assoc, Category.id_comp] erw [kernelComparison_comp_ι _ ((evaluation C D).obj X), π_comp_cokernelComparison_assoc _ ((evaluation C D).obj X)] conv_lhs => rw [← coimage_image_factorisation α] rfl
import Mathlib.CategoryTheory.Sites.Sieves #align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe w v₁ v₂ u₁ u₂ namespace CategoryTheory open Opposite CategoryTheory Category Limits Sieve namespace Presieve variable {C : Type u₁} [Category.{v₁} C] variable {P Q U : Cᵒᵖ ⥤ Type w} variable {X Y : C} {S : Sieve X} {R : Presieve X} def FamilyOfElements (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) := ∀ ⦃Y : C⦄ (f : Y ⟶ X), R f → P.obj (op Y) #align category_theory.presieve.family_of_elements CategoryTheory.Presieve.FamilyOfElements instance : Inhabited (FamilyOfElements P (⊥ : Presieve X)) := ⟨fun _ _ => False.elim⟩ def FamilyOfElements.restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂) : FamilyOfElements P R₂ → FamilyOfElements P R₁ := fun x _ f hf => x f (h _ hf) #align category_theory.presieve.family_of_elements.restrict CategoryTheory.Presieve.FamilyOfElements.restrict def FamilyOfElements.map (p : FamilyOfElements P R) (φ : P ⟶ Q) : FamilyOfElements Q R := fun _ f hf => φ.app _ (p f hf) @[simp] lemma FamilyOfElements.map_apply (p : FamilyOfElements P R) (φ : P ⟶ Q) {Y : C} (f : Y ⟶ X) (hf : R f) : p.map φ f hf = φ.app _ (p f hf) := rfl lemma FamilyOfElements.restrict_map (p : FamilyOfElements P R) (φ : P ⟶ Q) {R' : Presieve X} (h : R' ≤ R) : (p.restrict h).map φ = (p.map φ).restrict h := rfl def FamilyOfElements.Compatible (x : FamilyOfElements P R) : Prop := ∀ ⦃Y₁ Y₂ Z⦄ (g₁ : Z ⟶ Y₁) (g₂ : Z ⟶ Y₂) ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂), g₁ ≫ f₁ = g₂ ≫ f₂ → P.map g₁.op (x f₁ h₁) = P.map g₂.op (x f₂ h₂) #align category_theory.presieve.family_of_elements.compatible CategoryTheory.Presieve.FamilyOfElements.Compatible def FamilyOfElements.PullbackCompatible (x : FamilyOfElements P R) [R.hasPullbacks] : Prop := ∀ ⦃Y₁ Y₂⦄ ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂), haveI := hasPullbacks.has_pullbacks h₁ h₂ P.map (pullback.fst : Limits.pullback f₁ f₂ ⟶ _).op (x f₁ h₁) = P.map pullback.snd.op (x f₂ h₂) #align category_theory.presieve.family_of_elements.pullback_compatible CategoryTheory.Presieve.FamilyOfElements.PullbackCompatible theorem pullbackCompatible_iff (x : FamilyOfElements P R) [R.hasPullbacks] : x.Compatible ↔ x.PullbackCompatible := by constructor · intro t Y₁ Y₂ f₁ f₂ hf₁ hf₂ apply t haveI := hasPullbacks.has_pullbacks hf₁ hf₂ apply pullback.condition · intro t Y₁ Y₂ Z g₁ g₂ f₁ f₂ hf₁ hf₂ comm haveI := hasPullbacks.has_pullbacks hf₁ hf₂ rw [← pullback.lift_fst _ _ comm, op_comp, FunctorToTypes.map_comp_apply, t hf₁ hf₂, ← FunctorToTypes.map_comp_apply, ← op_comp, pullback.lift_snd] #align category_theory.presieve.pullback_compatible_iff CategoryTheory.Presieve.pullbackCompatible_iff theorem FamilyOfElements.Compatible.restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂) {x : FamilyOfElements P R₂} : x.Compatible → (x.restrict h).Compatible := fun q _ _ _ g₁ g₂ _ _ h₁ h₂ comm => q g₁ g₂ (h _ h₁) (h _ h₂) comm #align category_theory.presieve.family_of_elements.compatible.restrict CategoryTheory.Presieve.FamilyOfElements.Compatible.restrict noncomputable def FamilyOfElements.sieveExtend (x : FamilyOfElements P R) : FamilyOfElements P (generate R : Presieve X) := fun _ _ hf => P.map hf.choose_spec.choose.op (x _ hf.choose_spec.choose_spec.choose_spec.1) #align category_theory.presieve.family_of_elements.sieve_extend CategoryTheory.Presieve.FamilyOfElements.sieveExtend theorem FamilyOfElements.Compatible.sieveExtend {x : FamilyOfElements P R} (hx : x.Compatible) : x.sieveExtend.Compatible := by intro _ _ _ _ _ _ _ h₁ h₂ comm iterate 2 erw [← FunctorToTypes.map_comp_apply]; rw [← op_comp] apply hx simp [comm, h₁.choose_spec.choose_spec.choose_spec.2, h₂.choose_spec.choose_spec.choose_spec.2] #align category_theory.presieve.family_of_elements.compatible.sieve_extend CategoryTheory.Presieve.FamilyOfElements.Compatible.sieveExtend theorem extend_agrees {x : FamilyOfElements P R} (t : x.Compatible) {f : Y ⟶ X} (hf : R f) : x.sieveExtend f (le_generate R Y hf) = x f hf := by have h := (le_generate R Y hf).choose_spec unfold FamilyOfElements.sieveExtend rw [t h.choose (𝟙 _) _ hf _] · simp · rw [id_comp] exact h.choose_spec.choose_spec.2 #align category_theory.presieve.extend_agrees CategoryTheory.Presieve.extend_agrees @[simp]
Mathlib/CategoryTheory/Sites/IsSheafFor.lean
207
210
theorem restrict_extend {x : FamilyOfElements P R} (t : x.Compatible) : x.sieveExtend.restrict (le_generate R) = x := by
funext Y f hf exact extend_agrees t hf
import Mathlib.NumberTheory.Padics.PadicIntegers import Mathlib.RingTheory.ZMod #align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" noncomputable section open scoped Classical open Nat LocalRing Padic namespace PadicInt variable {p : ℕ} [hp_prime : Fact p.Prime] section RingHoms variable (p) (r : ℚ) def modPart : ℤ := r.num * gcdA r.den p % p #align padic_int.mod_part PadicInt.modPart variable {p} theorem modPart_lt_p : modPart p r < p := by convert Int.emod_lt _ _ · simp · exact mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_lt_p PadicInt.modPart_lt_p theorem modPart_nonneg : 0 ≤ modPart p r := Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_nonneg PadicInt.modPart_nonneg theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by rw [isUnit_iff] apply le_antisymm (r.den : ℤ_[p]).2 rw [← not_lt, coe_natCast] intro norm_denom_lt have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by congr rw_mod_cast [@Rat.mul_den_eq_num r] rw [padicNormE.mul] at hr have key : ‖(r.num : ℚ_[p])‖ < 1 := by calc _ = _ := hr.symm _ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one _ = 1 := mul_one 1 have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt] exact ⟨key, norm_denom_lt⟩ apply hp_prime.1.not_dvd_one rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast] #align padic_int.is_unit_denom PadicInt.isUnit_den theorem norm_sub_modPart_aux (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : ↑p ∣ r.num - r.num * r.den.gcdA p % p * ↑r.den := by rw [← ZMod.intCast_zmod_eq_zero_iff_dvd] simp only [Int.cast_natCast, ZMod.natCast_mod, Int.cast_mul, Int.cast_sub] have := congr_arg (fun x => x % p : ℤ → ZMod p) (gcd_eq_gcd_ab r.den p) simp only [Int.cast_natCast, CharP.cast_eq_zero, EuclideanDomain.mod_zero, Int.cast_add, Int.cast_mul, zero_mul, add_zero] at this push_cast rw [mul_right_comm, mul_assoc, ← this] suffices rdcp : r.den.Coprime p by rw [rdcp.gcd_eq_one] simp only [mul_one, cast_one, sub_self] apply Coprime.symm apply (coprime_or_dvd_of_prime hp_prime.1 _).resolve_right rw [← Int.natCast_dvd_natCast, ← norm_int_lt_one_iff_dvd, not_lt] apply ge_of_eq rw [← isUnit_iff] exact isUnit_den r h #align padic_int.norm_sub_mod_part_aux PadicInt.norm_sub_modPart_aux theorem norm_sub_modPart (h : ‖(r : ℚ_[p])‖ ≤ 1) : ‖(⟨r, h⟩ - modPart p r : ℤ_[p])‖ < 1 := by let n := modPart p r rw [norm_lt_one_iff_dvd, ← (isUnit_den r h).dvd_mul_right] suffices ↑p ∣ r.num - n * r.den by convert (Int.castRingHom ℤ_[p]).map_dvd this simp only [sub_mul, Int.cast_natCast, eq_intCast, Int.cast_mul, sub_left_inj, Int.cast_sub] apply Subtype.coe_injective simp only [coe_mul, Subtype.coe_mk, coe_natCast] rw_mod_cast [@Rat.mul_den_eq_num r] rfl exact norm_sub_modPart_aux r h #align padic_int.norm_sub_mod_part PadicInt.norm_sub_modPart theorem exists_mem_range_of_norm_rat_le_one (h : ‖(r : ℚ_[p])‖ ≤ 1) : ∃ n : ℤ, 0 ≤ n ∧ n < p ∧ ‖(⟨r, h⟩ - n : ℤ_[p])‖ < 1 := ⟨modPart p r, modPart_nonneg _, modPart_lt_p _, norm_sub_modPart _ h⟩ #align padic_int.exists_mem_range_of_norm_rat_le_one PadicInt.exists_mem_range_of_norm_rat_le_one theorem zmod_congr_of_sub_mem_span_aux (n : ℕ) (x : ℤ_[p]) (a b : ℤ) (ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) (hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by rw [Ideal.mem_span_singleton] at ha hb rw [← sub_eq_zero, ← Int.cast_sub, ZMod.intCast_zmod_eq_zero_iff_dvd, Int.natCast_pow] rw [← dvd_neg, neg_sub] at ha have := dvd_add ha hb rwa [sub_eq_add_neg, sub_eq_add_neg, add_assoc, neg_add_cancel_left, ← sub_eq_add_neg, ← Int.cast_sub, pow_p_dvd_int_iff] at this #align padic_int.zmod_congr_of_sub_mem_span_aux PadicInt.zmod_congr_of_sub_mem_span_aux theorem zmod_congr_of_sub_mem_span (n : ℕ) (x : ℤ_[p]) (a b : ℕ) (ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) (hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by simpa using zmod_congr_of_sub_mem_span_aux n x a b ha hb #align padic_int.zmod_congr_of_sub_mem_span PadicInt.zmod_congr_of_sub_mem_span theorem zmod_congr_of_sub_mem_max_ideal (x : ℤ_[p]) (m n : ℕ) (hm : x - m ∈ maximalIdeal ℤ_[p]) (hn : x - n ∈ maximalIdeal ℤ_[p]) : (m : ZMod p) = n := by rw [maximalIdeal_eq_span_p] at hm hn have := zmod_congr_of_sub_mem_span_aux 1 x m n simp only [pow_one] at this specialize this hm hn apply_fun ZMod.castHom (show p ∣ p ^ 1 by rw [pow_one]) (ZMod p) at this simp only [map_intCast] at this simpa only [Int.cast_natCast] using this #align padic_int.zmod_congr_of_sub_mem_max_ideal PadicInt.zmod_congr_of_sub_mem_max_ideal variable (x : ℤ_[p]) theorem exists_mem_range : ∃ n : ℕ, n < p ∧ x - n ∈ maximalIdeal ℤ_[p] := by simp only [maximalIdeal_eq_span_p, Ideal.mem_span_singleton, ← norm_lt_one_iff_dvd] obtain ⟨r, hr⟩ := rat_dense p (x : ℚ_[p]) zero_lt_one have H : ‖(r : ℚ_[p])‖ ≤ 1 := by rw [norm_sub_rev] at hr calc _ = ‖(r : ℚ_[p]) - x + x‖ := by ring_nf _ ≤ _ := padicNormE.nonarchimedean _ _ _ ≤ _ := max_le (le_of_lt hr) x.2 obtain ⟨n, hzn, hnp, hn⟩ := exists_mem_range_of_norm_rat_le_one r H lift n to ℕ using hzn use n constructor · exact mod_cast hnp simp only [norm_def, coe_sub, Subtype.coe_mk, coe_natCast] at hn ⊢ rw [show (x - n : ℚ_[p]) = x - r + (r - n) by ring] apply lt_of_le_of_lt (padicNormE.nonarchimedean _ _) apply max_lt hr simpa using hn #align padic_int.exists_mem_range PadicInt.exists_mem_range def zmodRepr : ℕ := Classical.choose (exists_mem_range x) #align padic_int.zmod_repr PadicInt.zmodRepr theorem zmodRepr_spec : zmodRepr x < p ∧ x - zmodRepr x ∈ maximalIdeal ℤ_[p] := Classical.choose_spec (exists_mem_range x) #align padic_int.zmod_repr_spec PadicInt.zmodRepr_spec theorem zmodRepr_lt_p : zmodRepr x < p := (zmodRepr_spec _).1 #align padic_int.zmod_repr_lt_p PadicInt.zmodRepr_lt_p theorem sub_zmodRepr_mem : x - zmodRepr x ∈ maximalIdeal ℤ_[p] := (zmodRepr_spec _).2 #align padic_int.sub_zmod_repr_mem PadicInt.sub_zmodRepr_mem def toZModHom (v : ℕ) (f : ℤ_[p] → ℕ) (f_spec : ∀ x, x - f x ∈ (Ideal.span {↑v} : Ideal ℤ_[p])) (f_congr : ∀ (x : ℤ_[p]) (a b : ℕ), x - a ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) → x - b ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) → (a : ZMod v) = b) : ℤ_[p] →+* ZMod v where toFun x := f x map_zero' := by dsimp only rw [f_congr (0 : ℤ_[p]) _ 0, cast_zero] · exact f_spec _ · simp only [sub_zero, cast_zero, Submodule.zero_mem] map_one' := by dsimp only rw [f_congr (1 : ℤ_[p]) _ 1, cast_one] · exact f_spec _ · simp only [sub_self, cast_one, Submodule.zero_mem] map_add' := by intro x y dsimp only rw [f_congr (x + y) _ (f x + f y), cast_add] · exact f_spec _ · convert Ideal.add_mem _ (f_spec x) (f_spec y) using 1 rw [cast_add] ring map_mul' := by intro x y dsimp only rw [f_congr (x * y) _ (f x * f y), cast_mul] · exact f_spec _ · let I : Ideal ℤ_[p] := Ideal.span {↑v} convert I.add_mem (I.mul_mem_left x (f_spec y)) (I.mul_mem_right ↑(f y) (f_spec x)) using 1 rw [cast_mul] ring #align padic_int.to_zmod_hom PadicInt.toZModHom def toZMod : ℤ_[p] →+* ZMod p := toZModHom p zmodRepr (by rw [← maximalIdeal_eq_span_p] exact sub_zmodRepr_mem) (by rw [← maximalIdeal_eq_span_p] exact zmod_congr_of_sub_mem_max_ideal) #align padic_int.to_zmod PadicInt.toZMod theorem toZMod_spec : x - (ZMod.cast (toZMod x) : ℤ_[p]) ∈ maximalIdeal ℤ_[p] := by convert sub_zmodRepr_mem x using 2 dsimp [toZMod, toZModHom] rcases Nat.exists_eq_add_of_lt hp_prime.1.pos with ⟨p', rfl⟩ change ↑((_ : ZMod (0 + p' + 1)).val) = (_ : ℤ_[0 + p' + 1]) simp only [ZMod.val_natCast, add_zero, add_def, Nat.cast_inj, zero_add] apply mod_eq_of_lt simpa only [zero_add] using zmodRepr_lt_p x #align padic_int.to_zmod_spec PadicInt.toZMod_spec theorem ker_toZMod : RingHom.ker (toZMod : ℤ_[p] →+* ZMod p) = maximalIdeal ℤ_[p] := by ext x rw [RingHom.mem_ker] constructor · intro h simpa only [h, ZMod.cast_zero, sub_zero] using toZMod_spec x · intro h rw [← sub_zero x] at h dsimp [toZMod, toZModHom] convert zmod_congr_of_sub_mem_max_ideal x _ 0 _ h · norm_cast · apply sub_zmodRepr_mem #align padic_int.ker_to_zmod PadicInt.ker_toZMod -- Porting note: removing irreducible solves a lot of problems noncomputable def appr : ℤ_[p] → ℕ → ℕ | _x, 0 => 0 | x, n + 1 => let y := x - appr x n if hy : y = 0 then appr x n else let u := (unitCoeff hy : ℤ_[p]) appr x n + p ^ n * (toZMod ((u * (p : ℤ_[p]) ^ (y.valuation - n).natAbs) : ℤ_[p])).val #align padic_int.appr PadicInt.appr theorem appr_lt (x : ℤ_[p]) (n : ℕ) : x.appr n < p ^ n := by induction' n with n ih generalizing x · simp only [appr, zero_eq, _root_.pow_zero, zero_lt_one] simp only [appr, map_natCast, ZMod.natCast_self, RingHom.map_pow, Int.natAbs, RingHom.map_mul] have hp : p ^ n < p ^ (n + 1) := by apply pow_lt_pow_right hp_prime.1.one_lt (lt_add_one n) split_ifs with h · apply lt_trans (ih _) hp · calc _ < p ^ n + p ^ n * (p - 1) := ?_ _ = p ^ (n + 1) := ?_ · apply add_lt_add_of_lt_of_le (ih _) apply Nat.mul_le_mul_left apply le_pred_of_lt apply ZMod.val_lt · rw [mul_tsub, mul_one, ← _root_.pow_succ] apply add_tsub_cancel_of_le (le_of_lt hp) #align padic_int.appr_lt PadicInt.appr_lt theorem appr_mono (x : ℤ_[p]) : Monotone x.appr := by apply monotone_nat_of_le_succ intro n dsimp [appr] split_ifs; · rfl apply Nat.le_add_right #align padic_int.appr_mono PadicInt.appr_mono theorem dvd_appr_sub_appr (x : ℤ_[p]) (m n : ℕ) (h : m ≤ n) : p ^ m ∣ x.appr n - x.appr m := by obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_le h; clear h induction' k with k ih · simp only [zero_eq, add_zero, le_refl, tsub_eq_zero_of_le, ne_eq, Nat.isUnit_iff, dvd_zero] rw [← add_assoc] dsimp [appr] split_ifs with h · exact ih rw [add_comm, add_tsub_assoc_of_le (appr_mono _ (Nat.le_add_right m k))] apply dvd_add _ ih apply dvd_mul_of_dvd_left apply pow_dvd_pow _ (Nat.le_add_right m k) #align padic_int.dvd_appr_sub_appr PadicInt.dvd_appr_sub_appr theorem appr_spec (n : ℕ) : ∀ x : ℤ_[p], x - appr x n ∈ Ideal.span {(p : ℤ_[p]) ^ n} := by simp only [Ideal.mem_span_singleton] induction' n with n ih · simp only [zero_eq, _root_.pow_zero, isUnit_one, IsUnit.dvd, forall_const] intro x dsimp only [appr] split_ifs with h · rw [h] apply dvd_zero push_cast rw [sub_add_eq_sub_sub] obtain ⟨c, hc⟩ := ih x simp only [map_natCast, ZMod.natCast_self, RingHom.map_pow, RingHom.map_mul, ZMod.natCast_val] have hc' : c ≠ 0 := by rintro rfl simp only [mul_zero] at hc contradiction conv_rhs => congr simp only [hc] rw [show (x - (appr x n : ℤ_[p])).valuation = ((p : ℤ_[p]) ^ n * c).valuation by rw [hc]] rw [valuation_p_pow_mul _ _ hc', add_sub_cancel_left, _root_.pow_succ, ← mul_sub] apply mul_dvd_mul_left obtain hc0 | hc0 := eq_or_ne c.valuation.natAbs 0 · simp only [hc0, mul_one, _root_.pow_zero] rw [mul_comm, unitCoeff_spec h] at hc suffices c = unitCoeff h by rw [← this, ← Ideal.mem_span_singleton, ← maximalIdeal_eq_span_p] apply toZMod_spec obtain ⟨c, rfl⟩ : IsUnit c := by -- TODO: write a `CanLift` instance for units rw [Int.natAbs_eq_zero] at hc0 rw [isUnit_iff, norm_eq_pow_val hc', hc0, neg_zero, zpow_zero] rw [DiscreteValuationRing.unit_mul_pow_congr_unit _ _ _ _ _ hc] exact irreducible_p · simp only [zero_pow hc0, sub_zero, ZMod.cast_zero, mul_zero] rw [unitCoeff_spec hc'] exact (dvd_pow_self (p : ℤ_[p]) hc0).mul_left _ #align padic_int.appr_spec PadicInt.appr_spec def toZModPow (n : ℕ) : ℤ_[p] →+* ZMod (p ^ n) := toZModHom (p ^ n) (fun x => appr x n) (by intros rw [Nat.cast_pow] exact appr_spec n _) (by intro x a b ha hb apply zmod_congr_of_sub_mem_span n x a b · simpa using ha · simpa using hb) #align padic_int.to_zmod_pow PadicInt.toZModPow theorem ker_toZModPow (n : ℕ) : RingHom.ker (toZModPow n : ℤ_[p] →+* ZMod (p ^ n)) = Ideal.span {(p : ℤ_[p]) ^ n} := by ext x rw [RingHom.mem_ker] constructor · intro h suffices x.appr n = 0 by convert appr_spec n x simp only [this, sub_zero, cast_zero] dsimp [toZModPow, toZModHom] at h rw [ZMod.natCast_zmod_eq_zero_iff_dvd] at h apply eq_zero_of_dvd_of_lt h (appr_lt _ _) · intro h rw [← sub_zero x] at h dsimp [toZModPow, toZModHom] rw [zmod_congr_of_sub_mem_span n x _ 0 _ h, cast_zero] apply appr_spec #align padic_int.ker_to_zmod_pow PadicInt.ker_toZModPow -- @[simp] -- Porting note: not in simpNF theorem zmod_cast_comp_toZModPow (m n : ℕ) (h : m ≤ n) : (ZMod.castHom (pow_dvd_pow p h) (ZMod (p ^ m))).comp (@toZModPow p _ n) = @toZModPow p _ m := by apply ZMod.ringHom_eq_of_ker_eq ext x rw [RingHom.mem_ker, RingHom.mem_ker] simp only [Function.comp_apply, ZMod.castHom_apply, RingHom.coe_comp] simp only [toZModPow, toZModHom, RingHom.coe_mk] dsimp rw [ZMod.cast_natCast (pow_dvd_pow p h), zmod_congr_of_sub_mem_span m (x.appr n) (x.appr n) (x.appr m)] · rw [sub_self] apply Ideal.zero_mem _ · rw [Ideal.mem_span_singleton] rcases dvd_appr_sub_appr x m n h with ⟨c, hc⟩ use c rw [← Nat.cast_sub (appr_mono _ h), hc, Nat.cast_mul, Nat.cast_pow] #align padic_int.zmod_cast_comp_to_zmod_pow PadicInt.zmod_cast_comp_toZModPow @[simp] theorem cast_toZModPow (m n : ℕ) (h : m ≤ n) (x : ℤ_[p]) : ZMod.cast (toZModPow n x) = toZModPow m x := by rw [← zmod_cast_comp_toZModPow _ _ h] rfl #align padic_int.cast_to_zmod_pow PadicInt.cast_toZModPow theorem denseRange_natCast : DenseRange (Nat.cast : ℕ → ℤ_[p]) := by intro x rw [Metric.mem_closure_range_iff] intro ε hε obtain ⟨n, hn⟩ := exists_pow_neg_lt p hε use x.appr n rw [dist_eq_norm] apply lt_of_le_of_lt _ hn rw [norm_le_pow_iff_mem_span_pow] apply appr_spec #align padic_int.dense_range_nat_cast PadicInt.denseRange_natCast @[deprecated (since := "2024-04-17")] alias denseRange_nat_cast := denseRange_natCast
Mathlib/NumberTheory/Padics/RingHoms.lean
465
471
theorem denseRange_intCast : DenseRange (Int.cast : ℤ → ℤ_[p]) := by
intro x refine DenseRange.induction_on denseRange_natCast x ?_ ?_ · exact isClosed_closure · intro a apply subset_closure exact Set.mem_range_self _
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section DenselyOrdered variable [TopologicalSpace α] [LinearOrder α] [OrderTopology α] [DenselyOrdered α] {a b : α} {s : Set α} theorem closure_Ioi' {a : α} (h : (Ioi a).Nonempty) : closure (Ioi a) = Ici a := by apply Subset.antisymm · exact closure_minimal Ioi_subset_Ici_self isClosed_Ici · rw [← diff_subset_closure_iff, Ici_diff_Ioi_same, singleton_subset_iff] exact isGLB_Ioi.mem_closure h #align closure_Ioi' closure_Ioi' @[simp] theorem closure_Ioi (a : α) [NoMaxOrder α] : closure (Ioi a) = Ici a := closure_Ioi' nonempty_Ioi #align closure_Ioi closure_Ioi theorem closure_Iio' (h : (Iio a).Nonempty) : closure (Iio a) = Iic a := closure_Ioi' (α := αᵒᵈ) h #align closure_Iio' closure_Iio' @[simp] theorem closure_Iio (a : α) [NoMinOrder α] : closure (Iio a) = Iic a := closure_Iio' nonempty_Iio #align closure_Iio closure_Iio @[simp] theorem closure_Ioo {a b : α} (hab : a ≠ b) : closure (Ioo a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioo_subset_Icc_self isClosed_Icc · cases' hab.lt_or_lt with hab hab · rw [← diff_subset_closure_iff, Icc_diff_Ioo_same hab.le] have hab' : (Ioo a b).Nonempty := nonempty_Ioo.2 hab simp only [insert_subset_iff, singleton_subset_iff] exact ⟨(isGLB_Ioo hab).mem_closure hab', (isLUB_Ioo hab).mem_closure hab'⟩ · rw [Icc_eq_empty_of_lt hab] exact empty_subset _ #align closure_Ioo closure_Ioo @[simp] theorem closure_Ioc {a b : α} (hab : a ≠ b) : closure (Ioc a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioc_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ioc_self) rw [closure_Ioo hab] #align closure_Ioc closure_Ioc @[simp] theorem closure_Ico {a b : α} (hab : a ≠ b) : closure (Ico a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ico_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ico_self) rw [closure_Ioo hab] #align closure_Ico closure_Ico @[simp] theorem interior_Ici' {a : α} (ha : (Iio a).Nonempty) : interior (Ici a) = Ioi a := by rw [← compl_Iio, interior_compl, closure_Iio' ha, compl_Iic] #align interior_Ici' interior_Ici' theorem interior_Ici [NoMinOrder α] {a : α} : interior (Ici a) = Ioi a := interior_Ici' nonempty_Iio #align interior_Ici interior_Ici @[simp] theorem interior_Iic' {a : α} (ha : (Ioi a).Nonempty) : interior (Iic a) = Iio a := interior_Ici' (α := αᵒᵈ) ha #align interior_Iic' interior_Iic' theorem interior_Iic [NoMaxOrder α] {a : α} : interior (Iic a) = Iio a := interior_Iic' nonempty_Ioi #align interior_Iic interior_Iic @[simp] theorem interior_Icc [NoMinOrder α] [NoMaxOrder α] {a b : α} : interior (Icc a b) = Ioo a b := by rw [← Ici_inter_Iic, interior_inter, interior_Ici, interior_Iic, Ioi_inter_Iio] #align interior_Icc interior_Icc @[simp] theorem Icc_mem_nhds_iff [NoMinOrder α] [NoMaxOrder α] {a b x : α} : Icc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Icc, mem_interior_iff_mem_nhds] @[simp] theorem interior_Ico [NoMinOrder α] {a b : α} : interior (Ico a b) = Ioo a b := by rw [← Ici_inter_Iio, interior_inter, interior_Ici, interior_Iio, Ioi_inter_Iio] #align interior_Ico interior_Ico @[simp]
Mathlib/Topology/Order/DenselyOrdered.lean
116
117
theorem Ico_mem_nhds_iff [NoMinOrder α] {a b x : α} : Ico a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by
rw [← interior_Ico, mem_interior_iff_mem_nhds]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section Prod section HasDeriv variable {ι : Type*} [DecidableEq ι] {𝔸' : Type*} [NormedCommRing 𝔸'] [NormedAlgebra 𝕜 𝔸'] {u : Finset ι} {f : ι → 𝕜 → 𝔸'} {f' : ι → 𝔸'} theorem HasDerivAt.finset_prod (hf : ∀ i ∈ u, HasDerivAt (f i) (f' i) x) : HasDerivAt (∏ i ∈ u, f i ·) (∑ i ∈ u, (∏ j ∈ u.erase i, f j x) • f' i) x := by simpa [ContinuousLinearMap.sum_apply, ContinuousLinearMap.smul_apply] using (HasFDerivAt.finset_prod (fun i hi ↦ (hf i hi).hasFDerivAt)).hasDerivAt
Mathlib/Analysis/Calculus/Deriv/Mul.lean
341
344
theorem HasDerivWithinAt.finset_prod (hf : ∀ i ∈ u, HasDerivWithinAt (f i) (f' i) s x) : HasDerivWithinAt (∏ i ∈ u, f i ·) (∑ i ∈ u, (∏ j ∈ u.erase i, f j x) • f' i) s x := by
simpa [ContinuousLinearMap.sum_apply, ContinuousLinearMap.smul_apply] using (HasFDerivWithinAt.finset_prod (fun i hi ↦ (hf i hi).hasFDerivWithinAt)).hasDerivWithinAt
import Mathlib.Data.SetLike.Fintype import Mathlib.Algebra.Divisibility.Prod import Mathlib.RingTheory.Nakayama import Mathlib.RingTheory.SimpleModule import Mathlib.Tactic.RSuffices #align_import ring_theory.artinian from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90" open Set Filter Pointwise class IsArtinian (R M) [Semiring R] [AddCommMonoid M] [Module R M] : Prop where wellFounded_submodule_lt' : WellFounded ((· < ·) : Submodule R M → Submodule R M → Prop) #align is_artinian IsArtinian section variable {R M P N : Type*} variable [Ring R] [AddCommGroup M] [AddCommGroup P] [AddCommGroup N] variable [Module R M] [Module R P] [Module R N] open IsArtinian theorem IsArtinian.wellFounded_submodule_lt (R M) [Semiring R] [AddCommMonoid M] [Module R M] [IsArtinian R M] : WellFounded ((· < ·) : Submodule R M → Submodule R M → Prop) := IsArtinian.wellFounded_submodule_lt' #align is_artinian.well_founded_submodule_lt IsArtinian.wellFounded_submodule_lt theorem isArtinian_of_injective (f : M →ₗ[R] P) (h : Function.Injective f) [IsArtinian R P] : IsArtinian R M := ⟨Subrelation.wf (fun {A B} hAB => show A.map f < B.map f from Submodule.map_strictMono_of_injective h hAB) (InvImage.wf (Submodule.map f) (IsArtinian.wellFounded_submodule_lt R P))⟩ #align is_artinian_of_injective isArtinian_of_injective instance isArtinian_submodule' [IsArtinian R M] (N : Submodule R M) : IsArtinian R N := isArtinian_of_injective N.subtype Subtype.val_injective #align is_artinian_submodule' isArtinian_submodule' theorem isArtinian_of_le {s t : Submodule R M} [IsArtinian R t] (h : s ≤ t) : IsArtinian R s := isArtinian_of_injective (Submodule.inclusion h) (Submodule.inclusion_injective h) #align is_artinian_of_le isArtinian_of_le variable (M) theorem isArtinian_of_surjective (f : M →ₗ[R] P) (hf : Function.Surjective f) [IsArtinian R M] : IsArtinian R P := ⟨Subrelation.wf (fun {A B} hAB => show A.comap f < B.comap f from Submodule.comap_strictMono_of_surjective hf hAB) (InvImage.wf (Submodule.comap f) (IsArtinian.wellFounded_submodule_lt R M))⟩ #align is_artinian_of_surjective isArtinian_of_surjective variable {M} theorem isArtinian_of_linearEquiv (f : M ≃ₗ[R] P) [IsArtinian R M] : IsArtinian R P := isArtinian_of_surjective _ f.toLinearMap f.toEquiv.surjective #align is_artinian_of_linear_equiv isArtinian_of_linearEquiv theorem isArtinian_of_range_eq_ker [IsArtinian R M] [IsArtinian R P] (f : M →ₗ[R] N) (g : N →ₗ[R] P) (hf : Function.Injective f) (hg : Function.Surjective g) (h : LinearMap.range f = LinearMap.ker g) : IsArtinian R N := ⟨wellFounded_lt_exact_sequence (IsArtinian.wellFounded_submodule_lt R M) (IsArtinian.wellFounded_submodule_lt R P) (LinearMap.range f) (Submodule.map f) (Submodule.comap f) (Submodule.comap g) (Submodule.map g) (Submodule.gciMapComap hf) (Submodule.giMapComap hg) (by simp [Submodule.map_comap_eq, inf_comm]) (by simp [Submodule.comap_map_eq, h])⟩ #align is_artinian_of_range_eq_ker isArtinian_of_range_eq_ker instance isArtinian_prod [IsArtinian R M] [IsArtinian R P] : IsArtinian R (M × P) := isArtinian_of_range_eq_ker (LinearMap.inl R M P) (LinearMap.snd R M P) LinearMap.inl_injective LinearMap.snd_surjective (LinearMap.range_inl R M P) #align is_artinian_prod isArtinian_prod instance (priority := 100) isArtinian_of_finite [Finite M] : IsArtinian R M := ⟨Finite.wellFounded_of_trans_of_irrefl _⟩ #align is_artinian_of_finite isArtinian_of_finite -- Porting note: elab_as_elim can only be global and cannot be changed on an imported decl -- attribute [local elab_as_elim] Finite.induction_empty_option instance isArtinian_pi {R ι : Type*} [Finite ι] : ∀ {M : ι → Type*} [Ring R] [∀ i, AddCommGroup (M i)], ∀ [∀ i, Module R (M i)], ∀ [∀ i, IsArtinian R (M i)], IsArtinian R (∀ i, M i) := by apply Finite.induction_empty_option _ _ _ ι · intro α β e hα M _ _ _ _ have := @hα exact isArtinian_of_linearEquiv (LinearEquiv.piCongrLeft R M e) · intro M _ _ _ _ infer_instance · intro α _ ih M _ _ _ _ have := @ih exact isArtinian_of_linearEquiv (LinearEquiv.piOptionEquivProd R).symm #align is_artinian_pi isArtinian_pi instance isArtinian_pi' {R ι M : Type*} [Ring R] [AddCommGroup M] [Module R M] [Finite ι] [IsArtinian R M] : IsArtinian R (ι → M) := isArtinian_pi #align is_artinian_pi' isArtinian_pi' --porting note (#10754): new instance instance isArtinian_finsupp {R ι M : Type*} [Ring R] [AddCommGroup M] [Module R M] [Finite ι] [IsArtinian R M] : IsArtinian R (ι →₀ M) := isArtinian_of_linearEquiv (Finsupp.linearEquivFunOnFinite _ _ _).symm end open IsArtinian Submodule Function section Ring variable {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] theorem isArtinian_iff_wellFounded : IsArtinian R M ↔ WellFounded ((· < ·) : Submodule R M → Submodule R M → Prop) := ⟨fun h => h.1, IsArtinian.mk⟩ #align is_artinian_iff_well_founded isArtinian_iff_wellFounded theorem IsArtinian.finite_of_linearIndependent [Nontrivial R] [IsArtinian R M] {s : Set M} (hs : LinearIndependent R ((↑) : s → M)) : s.Finite := by refine by_contradiction fun hf => (RelEmbedding.wellFounded_iff_no_descending_seq.1 (wellFounded_submodule_lt (R := R) (M := M))).elim' ?_ have f : ℕ ↪ s := Set.Infinite.natEmbedding s hf have : ∀ n, (↑) ∘ f '' { m | n ≤ m } ⊆ s := by rintro n x ⟨y, _, rfl⟩ exact (f y).2 have : ∀ a b : ℕ, a ≤ b ↔ span R (Subtype.val ∘ f '' { m | b ≤ m }) ≤ span R (Subtype.val ∘ f '' { m | a ≤ m }) := by intro a b rw [span_le_span_iff hs (this b) (this a), Set.image_subset_image_iff (Subtype.coe_injective.comp f.injective), Set.subset_def] simp only [Set.mem_setOf_eq] exact ⟨fun hab x => le_trans hab, fun h => h _ le_rfl⟩ exact ⟨⟨fun n => span R (Subtype.val ∘ f '' { m | n ≤ m }), fun x y => by rw [le_antisymm_iff, ← this y x, ← this x y] exact fun ⟨h₁, h₂⟩ => le_antisymm_iff.2 ⟨h₂, h₁⟩⟩, by intro a b conv_rhs => rw [GT.gt, lt_iff_le_not_le, this, this, ← lt_iff_le_not_le] rfl⟩ #align is_artinian.finite_of_linear_independent IsArtinian.finite_of_linearIndependent
Mathlib/RingTheory/Artinian.lean
199
201
theorem set_has_minimal_iff_artinian : (∀ a : Set <| Submodule R M, a.Nonempty → ∃ M' ∈ a, ∀ I ∈ a, ¬I < M') ↔ IsArtinian R M := by
rw [isArtinian_iff_wellFounded, WellFounded.wellFounded_iff_has_min]
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.MeasureTheory.Group.Pointwise import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.MeasureTheory.Measure.Haar.Basic import Mathlib.MeasureTheory.Measure.Doubling import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric #align_import measure_theory.measure.lebesgue.eq_haar from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral open TopologicalSpace Set Filter Metric Bornology open scoped ENNReal Pointwise Topology NNReal def TopologicalSpace.PositiveCompacts.Icc01 : PositiveCompacts ℝ where carrier := Icc 0 1 isCompact' := isCompact_Icc interior_nonempty' := by simp_rw [interior_Icc, nonempty_Ioo, zero_lt_one] #align topological_space.positive_compacts.Icc01 TopologicalSpace.PositiveCompacts.Icc01 universe u def TopologicalSpace.PositiveCompacts.piIcc01 (ι : Type*) [Finite ι] : PositiveCompacts (ι → ℝ) where carrier := pi univ fun _ => Icc 0 1 isCompact' := isCompact_univ_pi fun _ => isCompact_Icc interior_nonempty' := by simp only [interior_pi_set, Set.toFinite, interior_Icc, univ_pi_nonempty_iff, nonempty_Ioo, imp_true_iff, zero_lt_one] #align topological_space.positive_compacts.pi_Icc01 TopologicalSpace.PositiveCompacts.piIcc01 theorem Basis.parallelepiped_basisFun (ι : Type*) [Fintype ι] : (Pi.basisFun ℝ ι).parallelepiped = TopologicalSpace.PositiveCompacts.piIcc01 ι := SetLike.coe_injective <| by refine Eq.trans ?_ ((uIcc_of_le ?_).trans (Set.pi_univ_Icc _ _).symm) · classical convert parallelepiped_single (ι := ι) 1 · exact zero_le_one #align basis.parallelepiped_basis_fun Basis.parallelepiped_basisFun theorem Basis.parallelepiped_eq_map {ι E : Type*} [Fintype ι] [NormedAddCommGroup E] [NormedSpace ℝ E] (b : Basis ι ℝ E) : b.parallelepiped = (PositiveCompacts.piIcc01 ι).map b.equivFun.symm b.equivFunL.symm.continuous b.equivFunL.symm.isOpenMap := by classical rw [← Basis.parallelepiped_basisFun, ← Basis.parallelepiped_map] congr with x simp open MeasureTheory MeasureTheory.Measure theorem Basis.map_addHaar {ι E F : Type*} [Fintype ι] [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace ℝ F] [MeasurableSpace E] [MeasurableSpace F] [BorelSpace E] [BorelSpace F] [SecondCountableTopology F] [SigmaCompactSpace F] (b : Basis ι ℝ E) (f : E ≃L[ℝ] F) : map f b.addHaar = (b.map f.toLinearEquiv).addHaar := by have : IsAddHaarMeasure (map f b.addHaar) := AddEquiv.isAddHaarMeasure_map b.addHaar f.toAddEquiv f.continuous f.symm.continuous rw [eq_comm, Basis.addHaar_eq_iff, Measure.map_apply f.continuous.measurable (PositiveCompacts.isCompact _).measurableSet, Basis.coe_parallelepiped, Basis.coe_map] erw [← image_parallelepiped, f.toEquiv.preimage_image, addHaar_self] namespace MeasureTheory open Measure TopologicalSpace.PositiveCompacts FiniteDimensional theorem addHaarMeasure_eq_volume : addHaarMeasure Icc01 = volume := by convert (addHaarMeasure_unique volume Icc01).symm; simp [Icc01] #align measure_theory.add_haar_measure_eq_volume MeasureTheory.addHaarMeasure_eq_volume theorem addHaarMeasure_eq_volume_pi (ι : Type*) [Fintype ι] : addHaarMeasure (piIcc01 ι) = volume := by convert (addHaarMeasure_unique volume (piIcc01 ι)).symm simp only [piIcc01, volume_pi_pi fun _ => Icc (0 : ℝ) 1, PositiveCompacts.coe_mk, Compacts.coe_mk, Finset.prod_const_one, ENNReal.ofReal_one, Real.volume_Icc, one_smul, sub_zero] #align measure_theory.add_haar_measure_eq_volume_pi MeasureTheory.addHaarMeasure_eq_volume_pi -- Porting note (#11215): TODO: remove this instance? instance isAddHaarMeasure_volume_pi (ι : Type*) [Fintype ι] : IsAddHaarMeasure (volume : Measure (ι → ℝ)) := inferInstance #align measure_theory.is_add_haar_measure_volume_pi MeasureTheory.isAddHaarMeasure_volume_pi namespace Measure theorem addHaar_eq_zero_of_disjoint_translates_aux {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (sb : IsBounded s) (hu : IsBounded (range u)) (hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by by_contra h apply lt_irrefl ∞ calc ∞ = ∑' _ : ℕ, μ s := (ENNReal.tsum_const_eq_top_of_ne_zero h).symm _ = ∑' n : ℕ, μ ({u n} + s) := by congr 1; ext1 n; simp only [image_add_left, measure_preimage_add, singleton_add] _ = μ (⋃ n, {u n} + s) := Eq.symm <| measure_iUnion hs fun n => by simpa only [image_add_left, singleton_add] using measurable_id.const_add _ h's _ = μ (range u + s) := by rw [← iUnion_add, iUnion_singleton_eq_range] _ < ∞ := (hu.add sb).measure_lt_top #align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates_aux MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates_aux theorem addHaar_eq_zero_of_disjoint_translates {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (hu : IsBounded (range u)) (hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by suffices H : ∀ R, μ (s ∩ closedBall 0 R) = 0 by apply le_antisymm _ (zero_le _) calc μ s ≤ ∑' n : ℕ, μ (s ∩ closedBall 0 n) := by conv_lhs => rw [← iUnion_inter_closedBall_nat s 0] exact measure_iUnion_le _ _ = 0 := by simp only [H, tsum_zero] intro R apply addHaar_eq_zero_of_disjoint_translates_aux μ u (isBounded_closedBall.subset inter_subset_right) hu _ (h's.inter measurableSet_closedBall) refine pairwise_disjoint_mono hs fun n => ?_ exact add_subset_add Subset.rfl inter_subset_left #align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates theorem addHaar_submodule {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] (s : Submodule ℝ E) (hs : s ≠ ⊤) : μ s = 0 := by obtain ⟨x, hx⟩ : ∃ x, x ∉ s := by simpa only [Submodule.eq_top_iff', not_exists, Ne, not_forall] using hs obtain ⟨c, cpos, cone⟩ : ∃ c : ℝ, 0 < c ∧ c < 1 := ⟨1 / 2, by norm_num, by norm_num⟩ have A : IsBounded (range fun n : ℕ => c ^ n • x) := have : Tendsto (fun n : ℕ => c ^ n • x) atTop (𝓝 ((0 : ℝ) • x)) := (tendsto_pow_atTop_nhds_zero_of_lt_one cpos.le cone).smul_const x isBounded_range_of_tendsto _ this apply addHaar_eq_zero_of_disjoint_translates μ _ A _ (Submodule.closed_of_finiteDimensional s).measurableSet intro m n hmn simp only [Function.onFun, image_add_left, singleton_add, disjoint_left, mem_preimage, SetLike.mem_coe] intro y hym hyn have A : (c ^ n - c ^ m) • x ∈ s := by convert s.sub_mem hym hyn using 1 simp only [sub_smul, neg_sub_neg, add_sub_add_right_eq_sub] have H : c ^ n - c ^ m ≠ 0 := by simpa only [sub_eq_zero, Ne] using (pow_right_strictAnti cpos cone).injective.ne hmn.symm have : x ∈ s := by convert s.smul_mem (c ^ n - c ^ m)⁻¹ A rw [smul_smul, inv_mul_cancel H, one_smul] exact hx this #align measure_theory.measure.add_haar_submodule MeasureTheory.Measure.addHaar_submodule theorem addHaar_affineSubspace {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] (s : AffineSubspace ℝ E) (hs : s ≠ ⊤) : μ s = 0 := by rcases s.eq_bot_or_nonempty with (rfl | hne) · rw [AffineSubspace.bot_coe, measure_empty] rw [Ne, ← AffineSubspace.direction_eq_top_iff_of_nonempty hne] at hs rcases hne with ⟨x, hx : x ∈ s⟩ simpa only [AffineSubspace.coe_direction_eq_vsub_set_right hx, vsub_eq_sub, sub_eq_add_neg, image_add_right, neg_neg, measure_preimage_add_right] using addHaar_submodule μ s.direction hs #align measure_theory.measure.add_haar_affine_subspace MeasureTheory.Measure.addHaar_affineSubspace theorem map_linearMap_addHaar_pi_eq_smul_addHaar {ι : Type*} [Finite ι] {f : (ι → ℝ) →ₗ[ℝ] ι → ℝ} (hf : LinearMap.det f ≠ 0) (μ : Measure (ι → ℝ)) [IsAddHaarMeasure μ] : Measure.map f μ = ENNReal.ofReal (abs (LinearMap.det f)⁻¹) • μ := by cases nonempty_fintype ι have := addHaarMeasure_unique μ (piIcc01 ι) rw [this, addHaarMeasure_eq_volume_pi, Measure.map_smul, Real.map_linearMap_volume_pi_eq_smul_volume_pi hf, smul_comm] #align measure_theory.measure.map_linear_map_add_haar_pi_eq_smul_add_haar MeasureTheory.Measure.map_linearMap_addHaar_pi_eq_smul_addHaar variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] theorem map_linearMap_addHaar_eq_smul_addHaar {f : E →ₗ[ℝ] E} (hf : LinearMap.det f ≠ 0) : Measure.map f μ = ENNReal.ofReal |(LinearMap.det f)⁻¹| • μ := by -- we reduce to the case of `E = ι → ℝ`, for which we have already proved the result using -- matrices in `map_linearMap_addHaar_pi_eq_smul_addHaar`. let ι := Fin (finrank ℝ E) haveI : FiniteDimensional ℝ (ι → ℝ) := by infer_instance have : finrank ℝ E = finrank ℝ (ι → ℝ) := by simp [ι] have e : E ≃ₗ[ℝ] ι → ℝ := LinearEquiv.ofFinrankEq E (ι → ℝ) this -- next line is to avoid `g` getting reduced by `simp`. obtain ⟨g, hg⟩ : ∃ g, g = (e : E →ₗ[ℝ] ι → ℝ).comp (f.comp (e.symm : (ι → ℝ) →ₗ[ℝ] E)) := ⟨_, rfl⟩ have gdet : LinearMap.det g = LinearMap.det f := by rw [hg]; exact LinearMap.det_conj f e rw [← gdet] at hf ⊢ have fg : f = (e.symm : (ι → ℝ) →ₗ[ℝ] E).comp (g.comp (e : E →ₗ[ℝ] ι → ℝ)) := by ext x simp only [LinearEquiv.coe_coe, Function.comp_apply, LinearMap.coe_comp, LinearEquiv.symm_apply_apply, hg] simp only [fg, LinearEquiv.coe_coe, LinearMap.coe_comp] have Ce : Continuous e := (e : E →ₗ[ℝ] ι → ℝ).continuous_of_finiteDimensional have Cg : Continuous g := LinearMap.continuous_of_finiteDimensional g have Cesymm : Continuous e.symm := (e.symm : (ι → ℝ) →ₗ[ℝ] E).continuous_of_finiteDimensional rw [← map_map Cesymm.measurable (Cg.comp Ce).measurable, ← map_map Cg.measurable Ce.measurable] haveI : IsAddHaarMeasure (map e μ) := (e : E ≃+ (ι → ℝ)).isAddHaarMeasure_map μ Ce Cesymm have ecomp : e.symm ∘ e = id := by ext x; simp only [id, Function.comp_apply, LinearEquiv.symm_apply_apply] rw [map_linearMap_addHaar_pi_eq_smul_addHaar hf (map e μ), Measure.map_smul, map_map Cesymm.measurable Ce.measurable, ecomp, Measure.map_id] #align measure_theory.measure.map_linear_map_add_haar_eq_smul_add_haar MeasureTheory.Measure.map_linearMap_addHaar_eq_smul_addHaar @[simp] theorem addHaar_preimage_linearMap {f : E →ₗ[ℝ] E} (hf : LinearMap.det f ≠ 0) (s : Set E) : μ (f ⁻¹' s) = ENNReal.ofReal |(LinearMap.det f)⁻¹| * μ s := calc μ (f ⁻¹' s) = Measure.map f μ s := ((f.equivOfDetNeZero hf).toContinuousLinearEquiv.toHomeomorph.toMeasurableEquiv.map_apply s).symm _ = ENNReal.ofReal |(LinearMap.det f)⁻¹| * μ s := by rw [map_linearMap_addHaar_eq_smul_addHaar μ hf]; rfl #align measure_theory.measure.add_haar_preimage_linear_map MeasureTheory.Measure.addHaar_preimage_linearMap @[simp] theorem addHaar_preimage_continuousLinearMap {f : E →L[ℝ] E} (hf : LinearMap.det (f : E →ₗ[ℝ] E) ≠ 0) (s : Set E) : μ (f ⁻¹' s) = ENNReal.ofReal (abs (LinearMap.det (f : E →ₗ[ℝ] E))⁻¹) * μ s := addHaar_preimage_linearMap μ hf s #align measure_theory.measure.add_haar_preimage_continuous_linear_map MeasureTheory.Measure.addHaar_preimage_continuousLinearMap @[simp] theorem addHaar_preimage_linearEquiv (f : E ≃ₗ[ℝ] E) (s : Set E) : μ (f ⁻¹' s) = ENNReal.ofReal |LinearMap.det (f.symm : E →ₗ[ℝ] E)| * μ s := by have A : LinearMap.det (f : E →ₗ[ℝ] E) ≠ 0 := (LinearEquiv.isUnit_det' f).ne_zero convert addHaar_preimage_linearMap μ A s simp only [LinearEquiv.det_coe_symm] #align measure_theory.measure.add_haar_preimage_linear_equiv MeasureTheory.Measure.addHaar_preimage_linearEquiv @[simp] theorem addHaar_preimage_continuousLinearEquiv (f : E ≃L[ℝ] E) (s : Set E) : μ (f ⁻¹' s) = ENNReal.ofReal |LinearMap.det (f.symm : E →ₗ[ℝ] E)| * μ s := addHaar_preimage_linearEquiv μ _ s #align measure_theory.measure.add_haar_preimage_continuous_linear_equiv MeasureTheory.Measure.addHaar_preimage_continuousLinearEquiv @[simp] theorem addHaar_image_linearMap (f : E →ₗ[ℝ] E) (s : Set E) : μ (f '' s) = ENNReal.ofReal |LinearMap.det f| * μ s := by rcases ne_or_eq (LinearMap.det f) 0 with (hf | hf) · let g := (f.equivOfDetNeZero hf).toContinuousLinearEquiv change μ (g '' s) = _ rw [ContinuousLinearEquiv.image_eq_preimage g s, addHaar_preimage_continuousLinearEquiv] congr · simp only [hf, zero_mul, ENNReal.ofReal_zero, abs_zero] have : μ (LinearMap.range f) = 0 := addHaar_submodule μ _ (LinearMap.range_lt_top_of_det_eq_zero hf).ne exact le_antisymm (le_trans (measure_mono (image_subset_range _ _)) this.le) (zero_le _) #align measure_theory.measure.add_haar_image_linear_map MeasureTheory.Measure.addHaar_image_linearMap @[simp] theorem addHaar_image_continuousLinearMap (f : E →L[ℝ] E) (s : Set E) : μ (f '' s) = ENNReal.ofReal |LinearMap.det (f : E →ₗ[ℝ] E)| * μ s := addHaar_image_linearMap μ _ s #align measure_theory.measure.add_haar_image_continuous_linear_map MeasureTheory.Measure.addHaar_image_continuousLinearMap @[simp] theorem addHaar_image_continuousLinearEquiv (f : E ≃L[ℝ] E) (s : Set E) : μ (f '' s) = ENNReal.ofReal |LinearMap.det (f : E →ₗ[ℝ] E)| * μ s := μ.addHaar_image_linearMap (f : E →ₗ[ℝ] E) s #align measure_theory.measure.add_haar_image_continuous_linear_equiv MeasureTheory.Measure.addHaar_image_continuousLinearEquiv theorem LinearMap.quasiMeasurePreserving (f : E →ₗ[ℝ] E) (hf : LinearMap.det f ≠ 0) : QuasiMeasurePreserving f μ μ := by refine ⟨f.continuous_of_finiteDimensional.measurable, ?_⟩ rw [map_linearMap_addHaar_eq_smul_addHaar μ hf] exact smul_absolutelyContinuous theorem ContinuousLinearMap.quasiMeasurePreserving (f : E →L[ℝ] E) (hf : f.det ≠ 0) : QuasiMeasurePreserving f μ μ := LinearMap.quasiMeasurePreserving μ (f : E →ₗ[ℝ] E) hf theorem map_addHaar_smul {r : ℝ} (hr : r ≠ 0) : Measure.map (r • ·) μ = ENNReal.ofReal (abs (r ^ finrank ℝ E)⁻¹) • μ := by let f : E →ₗ[ℝ] E := r • (1 : E →ₗ[ℝ] E) change Measure.map f μ = _ have hf : LinearMap.det f ≠ 0 := by simp only [f, mul_one, LinearMap.det_smul, Ne, MonoidHom.map_one] intro h exact hr (pow_eq_zero h) simp only [f, map_linearMap_addHaar_eq_smul_addHaar μ hf, mul_one, LinearMap.det_smul, map_one] #align measure_theory.measure.map_add_haar_smul MeasureTheory.Measure.map_addHaar_smul
Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean
368
372
theorem quasiMeasurePreserving_smul {r : ℝ} (hr : r ≠ 0) : QuasiMeasurePreserving (r • ·) μ μ := by
refine ⟨measurable_const_smul r, ?_⟩ rw [map_addHaar_smul μ hr] exact smul_absolutelyContinuous
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩ #align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff -- Porting note: To avoid ambiguous notation, `~` became `~ʷ`. infixl:50 " ~ʷ " => Equiv theorem destruct_congr {s t : WSeq α} : s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct #align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr theorem destruct_congr_iff {s t : WSeq α} : s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct_iff #align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩ rw [← h] apply Computation.LiftRel.refl intro a cases' a with a · simp · cases a simp only [LiftRelO, and_true] apply H #align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl theorem LiftRelO.swap (R : α → β → Prop) (C) : swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by funext x y rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl #align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) : LiftRel (swap R) s2 s1 := by refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩ rw [← LiftRelO.swap, Computation.LiftRel.swap] apply liftRel_destruct h #align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) := funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩ #align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) := fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h #align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) := fun s t u h1 h2 => by refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩ rcases h with ⟨t, h1, h2⟩ have h1 := liftRel_destruct h1 have h2 := liftRel_destruct h2 refine Computation.liftRel_def.2 ⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2), fun {a c} ha hc => ?_⟩ rcases h1.left ha with ⟨b, hb, t1⟩ have t2 := Computation.rel_of_liftRel h2 hb hc cases' a with a <;> cases' c with c · trivial · cases b · cases t2 · cases t1 · cases a cases' b with b · cases t1 · cases b cases t2 · cases' a with a s cases' b with b · cases t1 cases' b with b t cases' c with c u cases' t1 with ab st cases' t2 with bc tu exact ⟨H ab bc, t, st, tu⟩ #align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R) | ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩ #align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv @[refl] theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s := LiftRel.refl (· = ·) Eq.refl #align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl @[symm] theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s := @(LiftRel.symm (· = ·) (@Eq.symm _)) #align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm @[trans] theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u := @(LiftRel.trans (· = ·) (@Eq.trans _)) #align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans theorem Equiv.equivalence : Equivalence (@Equiv α) := ⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩ #align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence open Computation @[simp] theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none := Computation.destruct_eq_pure rfl #align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil @[simp] theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) := Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap] #align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons @[simp] theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think := Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap] #align stream.wseq.destruct_think Stream'.WSeq.destruct_think @[simp] theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none := Seq.destruct_nil #align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil @[simp] theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons @[simp] theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think @[simp] theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head] #align stream.wseq.head_nil Stream'.WSeq.head_nil @[simp] theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head] #align stream.wseq.head_cons Stream'.WSeq.head_cons @[simp] theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head] #align stream.wseq.head_think Stream'.WSeq.head_think @[simp] theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl intro s' s h rw [← h] simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure] cases Seq.destruct s with | none => simp | some val => cases' val with o s' simp #align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure @[simp] theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) := Seq.destruct_eq_cons <| by simp [flatten, think] #align stream.wseq.flatten_think Stream'.WSeq.flatten_think @[simp] theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by refine Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_ (Or.inr ⟨c, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨c, rfl, rfl⟩ => by induction' c using Computation.recOn with a c' <;> simp · cases (destruct a).destruct <;> simp · exact Or.inr ⟨c', rfl, rfl⟩ #align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) := terminates_map_iff _ (destruct s) #align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff @[simp] theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail] #align stream.wseq.tail_nil Stream'.WSeq.tail_nil @[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail] #align stream.wseq.tail_cons Stream'.WSeq.tail_cons @[simp] theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail] #align stream.wseq.tail_think Stream'.WSeq.tail_think @[simp] theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop] #align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil @[simp] theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by induction n with | zero => simp [drop] | succ n n_ih => -- porting note (#10745): was `simp [*, drop]`. simp [drop, ← n_ih] #align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons @[simp] theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by induction n <;> simp [*, drop] #align stream.wseq.dropn_think Stream'.WSeq.dropn_think theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n | 0 => rfl | n + 1 => congr_arg tail (dropn_add s m n) #align stream.wseq.dropn_add Stream'.WSeq.dropn_add theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by rw [Nat.add_comm] symm apply dropn_add #align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n := congr_arg head (dropn_add _ _ _) #align stream.wseq.nth_add Stream'.WSeq.get?_add theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) := congr_arg head (dropn_tail _ _) #align stream.wseq.nth_tail Stream'.WSeq.get?_tail @[simp] theorem join_nil : join nil = (nil : WSeq α) := Seq.join_nil #align stream.wseq.join_nil Stream'.WSeq.join_nil @[simp] theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, Seq1.ret] #align stream.wseq.join_think Stream'.WSeq.join_think @[simp] theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, cons, append] #align stream.wseq.join_cons Stream'.WSeq.join_cons @[simp] theorem nil_append (s : WSeq α) : append nil s = s := Seq.nil_append _ #align stream.wseq.nil_append Stream'.WSeq.nil_append @[simp] theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) := Seq.cons_append _ _ _ #align stream.wseq.cons_append Stream'.WSeq.cons_append @[simp] theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) := Seq.cons_append _ _ _ #align stream.wseq.think_append Stream'.WSeq.think_append @[simp] theorem append_nil (s : WSeq α) : append s nil = s := Seq.append_nil _ #align stream.wseq.append_nil Stream'.WSeq.append_nil @[simp] theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) := Seq.append_assoc _ _ _ #align stream.wseq.append_assoc Stream'.WSeq.append_assoc @[simp] def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α)) | none => Computation.pure none | some (_, s) => destruct s #align stream.wseq.tail.aux Stream'.WSeq.tail.aux theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc] apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp #align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail @[simp] def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α)) | 0 => Computation.pure | n + 1 => fun a => tail.aux a >>= drop.aux n #align stream.wseq.drop.aux Stream'.WSeq.drop.aux theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none | 0 => rfl | n + 1 => show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by rw [ret_bind, drop.aux_none n] #align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n | s, 0 => (bind_pure' _).symm | s, n + 1 => by rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc] rfl #align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] : Terminates (head s) := (head_terminates_iff _).2 <| by rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩ simp? [tail] at h says simp only [tail, destruct_flatten] at h rcases exists_of_mem_bind h with ⟨s', h1, _⟩ unfold Functor.map at h1 exact let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1 Computation.terminates_of_mem h3 #align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) : ∃ a', some a' ∈ destruct s := by unfold tail Functor.map at h; simp only [destruct_flatten] at h rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td · have := mem_unique td (ret_mem _) contradiction · exact ⟨_, ht'⟩ #align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) : ∃ a', some a' ∈ head s := by unfold head at h rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h cases' o with o <;> [injection e; injection e with h']; clear h' cases' destruct_some_of_destruct_tail_some md with a am exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩ #align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) : ∃ a', some a' ∈ head s := by induction n generalizing a with | zero => exact ⟨_, h⟩ | succ n IH => let ⟨a', h'⟩ := head_some_of_head_tail_some h exact IH h' #align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) := ⟨fun n => by rw [get?_tail]; infer_instance⟩ #align stream.wseq.productive_tail Stream'.WSeq.productive_tail instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) := ⟨fun m => by rw [← get?_add]; infer_instance⟩ #align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn def toSeq (s : WSeq α) [Productive s] : Seq α := ⟨fun n => (get? s n).get, fun {n} h => by cases e : Computation.get (get? s (n + 1)) · assumption have := Computation.mem_of_get_eq _ e simp? [get?] at this h says simp only [get?] at this h cases' head_some_of_head_tail_some this with a' h' have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h) contradiction⟩ #align stream.wseq.to_seq Stream'.WSeq.toSeq theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) : Terminates (get? s n) → Terminates (get? s m) := by induction' h with m' _ IH exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)] #align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le theorem head_terminates_of_get?_terminates {s : WSeq α} {n} : Terminates (get? s n) → Terminates (head s) := get?_terminates_le (Nat.zero_le n) #align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) : Terminates (destruct s) := (head_terminates_iff _).1 <| head_terminates_of_get?_terminates T #align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s')) (h2 : ∀ s, C s → C (think s)) : C s := by apply Seq.mem_rec_on M intro o s' h; cases' o with b · apply h2 cases h · contradiction · assumption · apply h1 apply Or.imp_left _ h intro h injection h #align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on @[simp] theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by cases' s with f al change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f constructor <;> intro h · apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left intro injections · apply Stream'.mem_cons_of_mem _ h #align stream.wseq.mem_think Stream'.WSeq.mem_think theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} : some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by generalize e : destruct s = c; intro h revert s apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;> induction' s using WSeq.recOn with x s s <;> intro m <;> have := congr_arg Computation.destruct m <;> simp at this · cases' this with i1 i2 rw [i1, i2] cases' s' with f al dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons] have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp rw [h_a_eq_a'] refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩ · cases' o with e m · rw [e] apply Stream'.mem_cons · exact Stream'.mem_cons_of_mem _ m · simp [IH this] #align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem @[simp] theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s := eq_or_mem_iff_mem <| by simp [ret_mem] #align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s := (mem_cons_iff _ _).2 (Or.inr h) #align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s := (mem_cons_iff _ _).2 (Or.inl rfl) #align stream.wseq.mem_cons Stream'.WSeq.mem_cons theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get] induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;> simp <;> intro m e <;> injections · exact Or.inr m · exact Or.inr m · apply IH m rw [e] cases tail s rfl #align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s | 0, h => h | n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h) #align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by revert s; induction' n with n IH <;> intro s h · -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩ cases' o with o · injection h2 injection h2 with h' cases' o with a' s' exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm) · have := @IH (tail s) rw [get?_tail] at this exact mem_of_mem_tail (this h) #align stream.wseq.nth_mem Stream'.WSeq.get?_mem theorem exists_get?_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n, some a ∈ get? s n := by apply mem_rec_on h · intro a' s' h cases' h with h h · exists 0 simp only [get?, drop, head_cons] rw [h] apply ret_mem · cases' h with n h exists n + 1 -- porting note (#10745): was `simp [get?]`. simpa [get?] · intro s' h cases' h with n h exists n simp only [get?, dropn_think, head_think] apply think_mem h #align stream.wseq.exists_nth_of_mem Stream'.WSeq.exists_get?_of_mem theorem exists_dropn_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n s', some (a, s') ∈ destruct (drop s n) := let ⟨n, h⟩ := exists_get?_of_mem h ⟨n, by rcases (head_terminates_iff _).1 ⟨⟨_, h⟩⟩ with ⟨⟨o, om⟩⟩ have := Computation.mem_unique (Computation.mem_map _ om) h cases' o with o · injection this injection this with i cases' o with a' s' dsimp at i rw [i] at om exact ⟨_, om⟩⟩ #align stream.wseq.exists_dropn_of_mem Stream'.WSeq.exists_dropn_of_mem theorem liftRel_dropn_destruct {R : α → β → Prop} {s t} (H : LiftRel R s t) : ∀ n, Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct (drop s n)) (destruct (drop t n)) | 0 => liftRel_destruct H | n + 1 => by simp only [LiftRelO, drop, Nat.add_eq, Nat.add_zero, destruct_tail, tail.aux] apply liftRel_bind · apply liftRel_dropn_destruct H n exact fun {a b} o => match a, b, o with | none, none, _ => by -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] | some (a, s), some (b, t), ⟨_, h2⟩ => by simpa [tail.aux] using liftRel_destruct h2 #align stream.wseq.lift_rel_dropn_destruct Stream'.WSeq.liftRel_dropn_destruct theorem exists_of_liftRel_left {R : α → β → Prop} {s t} (H : LiftRel R s t) {a} (h : a ∈ s) : ∃ b, b ∈ t ∧ R a b := by let ⟨n, h⟩ := exists_get?_of_mem h -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h let ⟨some (_, s'), sd, rfl⟩ := Computation.exists_of_mem_map h let ⟨some (b, t'), td, ⟨ab, _⟩⟩ := (liftRel_dropn_destruct H n).left sd exact ⟨b, get?_mem (Computation.mem_map (Prod.fst.{v, v} <$> ·) td), ab⟩ #align stream.wseq.exists_of_lift_rel_left Stream'.WSeq.exists_of_liftRel_left theorem exists_of_liftRel_right {R : α → β → Prop} {s t} (H : LiftRel R s t) {b} (h : b ∈ t) : ∃ a, a ∈ s ∧ R a b := by rw [← LiftRel.swap] at H; exact exists_of_liftRel_left H h #align stream.wseq.exists_of_lift_rel_right Stream'.WSeq.exists_of_liftRel_right theorem head_terminates_of_mem {s : WSeq α} {a} (h : a ∈ s) : Terminates (head s) := let ⟨_, h⟩ := exists_get?_of_mem h head_terminates_of_get?_terminates ⟨⟨_, h⟩⟩ #align stream.wseq.head_terminates_of_mem Stream'.WSeq.head_terminates_of_mem theorem of_mem_append {s₁ s₂ : WSeq α} {a : α} : a ∈ append s₁ s₂ → a ∈ s₁ ∨ a ∈ s₂ := Seq.of_mem_append #align stream.wseq.of_mem_append Stream'.WSeq.of_mem_append theorem mem_append_left {s₁ s₂ : WSeq α} {a : α} : a ∈ s₁ → a ∈ append s₁ s₂ := Seq.mem_append_left #align stream.wseq.mem_append_left Stream'.WSeq.mem_append_left theorem exists_of_mem_map {f} {b : β} : ∀ {s : WSeq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b | ⟨g, al⟩, h => by let ⟨o, om, oe⟩ := Seq.exists_of_mem_map h cases' o with a · injection oe injection oe with h' exact ⟨a, om, h'⟩ #align stream.wseq.exists_of_mem_map Stream'.WSeq.exists_of_mem_map @[simp] theorem liftRel_nil (R : α → β → Prop) : LiftRel R nil nil := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_nil Stream'.WSeq.liftRel_nil @[simp] theorem liftRel_cons (R : α → β → Prop) (a b s t) : LiftRel R (cons a s) (cons b t) ↔ R a b ∧ LiftRel R s t := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_cons Stream'.WSeq.liftRel_cons @[simp] theorem liftRel_think_left (R : α → β → Prop) (s t) : LiftRel R (think s) t ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_left Stream'.WSeq.liftRel_think_left @[simp] theorem liftRel_think_right (R : α → β → Prop) (s t) : LiftRel R s (think t) ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_right Stream'.WSeq.liftRel_think_right theorem cons_congr {s t : WSeq α} (a : α) (h : s ~ʷ t) : cons a s ~ʷ cons a t := by unfold Equiv; simpa using h #align stream.wseq.cons_congr Stream'.WSeq.cons_congr theorem think_equiv (s : WSeq α) : think s ~ʷ s := by unfold Equiv; simpa using Equiv.refl _ #align stream.wseq.think_equiv Stream'.WSeq.think_equiv theorem think_congr {s t : WSeq α} (h : s ~ʷ t) : think s ~ʷ think t := by unfold Equiv; simpa using h #align stream.wseq.think_congr Stream'.WSeq.think_congr
Mathlib/Data/Seq/WSeq.lean
1,126
1,144
theorem head_congr : ∀ {s t : WSeq α}, s ~ʷ t → head s ~ head t := by
suffices ∀ {s t : WSeq α}, s ~ʷ t → ∀ {o}, o ∈ head s → o ∈ head t from fun s t h o => ⟨this h, this h.symm⟩ intro s t h o ho rcases @Computation.exists_of_mem_map _ _ _ _ (destruct s) ho with ⟨ds, dsm, dse⟩ rw [← dse] cases' destruct_congr h with l r rcases l dsm with ⟨dt, dtm, dst⟩ cases' ds with a <;> cases' dt with b · apply Computation.mem_map _ dtm · cases b cases dst · cases a cases dst · cases' a with a s' cases' b with b t' rw [dst.left] exact @Computation.mem_map _ _ (@Functor.map _ _ (α × WSeq α) _ Prod.fst) (some (b, t')) (destruct t) dtm
import Mathlib.MeasureTheory.Measure.Typeclasses import Mathlib.Analysis.Complex.Basic #align_import measure_theory.measure.vector_measure from "leanprover-community/mathlib"@"70a4f2197832bceab57d7f41379b2592d1110570" noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory namespace MeasureTheory variable {α β : Type*} {m : MeasurableSpace α} structure VectorMeasure (α : Type*) [MeasurableSpace α] (M : Type*) [AddCommMonoid M] [TopologicalSpace M] where measureOf' : Set α → M empty' : measureOf' ∅ = 0 not_measurable' ⦃i : Set α⦄ : ¬MeasurableSet i → measureOf' i = 0 m_iUnion' ⦃f : ℕ → Set α⦄ : (∀ i, MeasurableSet (f i)) → Pairwise (Disjoint on f) → HasSum (fun i => measureOf' (f i)) (measureOf' (⋃ i, f i)) #align measure_theory.vector_measure MeasureTheory.VectorMeasure #align measure_theory.vector_measure.measure_of' MeasureTheory.VectorMeasure.measureOf' #align measure_theory.vector_measure.empty' MeasureTheory.VectorMeasure.empty' #align measure_theory.vector_measure.not_measurable' MeasureTheory.VectorMeasure.not_measurable' #align measure_theory.vector_measure.m_Union' MeasureTheory.VectorMeasure.m_iUnion' abbrev SignedMeasure (α : Type*) [MeasurableSpace α] := VectorMeasure α ℝ #align measure_theory.signed_measure MeasureTheory.SignedMeasure abbrev ComplexMeasure (α : Type*) [MeasurableSpace α] := VectorMeasure α ℂ #align measure_theory.complex_measure MeasureTheory.ComplexMeasure open Set MeasureTheory namespace VectorMeasure section variable {M : Type*} [AddCommMonoid M] [TopologicalSpace M] attribute [coe] VectorMeasure.measureOf' instance instCoeFun : CoeFun (VectorMeasure α M) fun _ => Set α → M := ⟨VectorMeasure.measureOf'⟩ #align measure_theory.vector_measure.has_coe_to_fun MeasureTheory.VectorMeasure.instCoeFun initialize_simps_projections VectorMeasure (measureOf' → apply) #noalign measure_theory.vector_measure.measure_of_eq_coe @[simp] theorem empty (v : VectorMeasure α M) : v ∅ = 0 := v.empty' #align measure_theory.vector_measure.empty MeasureTheory.VectorMeasure.empty theorem not_measurable (v : VectorMeasure α M) {i : Set α} (hi : ¬MeasurableSet i) : v i = 0 := v.not_measurable' hi #align measure_theory.vector_measure.not_measurable MeasureTheory.VectorMeasure.not_measurable theorem m_iUnion (v : VectorMeasure α M) {f : ℕ → Set α} (hf₁ : ∀ i, MeasurableSet (f i)) (hf₂ : Pairwise (Disjoint on f)) : HasSum (fun i => v (f i)) (v (⋃ i, f i)) := v.m_iUnion' hf₁ hf₂ #align measure_theory.vector_measure.m_Union MeasureTheory.VectorMeasure.m_iUnion theorem of_disjoint_iUnion_nat [T2Space M] (v : VectorMeasure α M) {f : ℕ → Set α} (hf₁ : ∀ i, MeasurableSet (f i)) (hf₂ : Pairwise (Disjoint on f)) : v (⋃ i, f i) = ∑' i, v (f i) := (v.m_iUnion hf₁ hf₂).tsum_eq.symm #align measure_theory.vector_measure.of_disjoint_Union_nat MeasureTheory.VectorMeasure.of_disjoint_iUnion_nat theorem coe_injective : @Function.Injective (VectorMeasure α M) (Set α → M) (⇑) := fun v w h => by cases v cases w congr #align measure_theory.vector_measure.coe_injective MeasureTheory.VectorMeasure.coe_injective theorem ext_iff' (v w : VectorMeasure α M) : v = w ↔ ∀ i : Set α, v i = w i := by rw [← coe_injective.eq_iff, Function.funext_iff] #align measure_theory.vector_measure.ext_iff' MeasureTheory.VectorMeasure.ext_iff' theorem ext_iff (v w : VectorMeasure α M) : v = w ↔ ∀ i : Set α, MeasurableSet i → v i = w i := by constructor · rintro rfl _ _ rfl · rw [ext_iff'] intro h i by_cases hi : MeasurableSet i · exact h i hi · simp_rw [not_measurable _ hi] #align measure_theory.vector_measure.ext_iff MeasureTheory.VectorMeasure.ext_iff @[ext] theorem ext {s t : VectorMeasure α M} (h : ∀ i : Set α, MeasurableSet i → s i = t i) : s = t := (ext_iff s t).2 h #align measure_theory.vector_measure.ext MeasureTheory.VectorMeasure.ext variable [T2Space M] {v : VectorMeasure α M} {f : ℕ → Set α}
Mathlib/MeasureTheory/Measure/VectorMeasure.lean
146
178
theorem hasSum_of_disjoint_iUnion [Countable β] {f : β → Set α} (hf₁ : ∀ i, MeasurableSet (f i)) (hf₂ : Pairwise (Disjoint on f)) : HasSum (fun i => v (f i)) (v (⋃ i, f i)) := by
cases nonempty_encodable β set g := fun i : ℕ => ⋃ (b : β) (_ : b ∈ Encodable.decode₂ β i), f b with hg have hg₁ : ∀ i, MeasurableSet (g i) := fun _ => MeasurableSet.iUnion fun b => MeasurableSet.iUnion fun _ => hf₁ b have hg₂ : Pairwise (Disjoint on g) := Encodable.iUnion_decode₂_disjoint_on hf₂ have := v.of_disjoint_iUnion_nat hg₁ hg₂ rw [hg, Encodable.iUnion_decode₂] at this have hg₃ : (fun i : β => v (f i)) = fun i => v (g (Encodable.encode i)) := by ext x rw [hg] simp only congr ext y simp only [exists_prop, Set.mem_iUnion, Option.mem_def] constructor · intro hy exact ⟨x, (Encodable.decode₂_is_partial_inv _ _).2 rfl, hy⟩ · rintro ⟨b, hb₁, hb₂⟩ rw [Encodable.decode₂_is_partial_inv _ _] at hb₁ rwa [← Encodable.encode_injective hb₁] rw [Summable.hasSum_iff, this, ← tsum_iUnion_decode₂] · exact v.empty · rw [hg₃] change Summable ((fun i => v (g i)) ∘ Encodable.encode) rw [Function.Injective.summable_iff Encodable.encode_injective] · exact (v.m_iUnion hg₁ hg₂).summable · intro x hx convert v.empty simp only [g, Set.iUnion_eq_empty, Option.mem_def, not_exists, Set.mem_range] at hx ⊢ intro i hi exact False.elim ((hx i) ((Encodable.decode₂_is_partial_inv _ _).1 hi))
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.Data.Complex.Orientation import Mathlib.Tactic.LinearCombination #align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af" noncomputable section open scoped RealInnerProductSpace ComplexConjugate open FiniteDimensional lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K] [AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V := .of_fact_finrank_eq_succ 1 attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two @[deprecated (since := "2024-02-02")] alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two := FiniteDimensional.of_fact_finrank_eq_two variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)] (o : Orientation ℝ E (Fin 2)) namespace Orientation irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ := AlternatingMap.constLinearEquivOfIsEmpty.symm let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ := LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm #align orientation.area_form Orientation.areaForm local notation "ω" => o.areaForm theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm] #align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm @[simp] theorem areaForm_apply_self (x : E) : ω x x = 0 := by rw [areaForm_to_volumeForm] refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1) · simp · norm_num #align orientation.area_form_apply_self Orientation.areaForm_apply_self theorem areaForm_swap (x y : E) : ω x y = -ω y x := by simp only [areaForm_to_volumeForm] convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1) · ext i fin_cases i <;> rfl · norm_num #align orientation.area_form_swap Orientation.areaForm_swap @[simp] theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by ext x y simp [areaForm_to_volumeForm] #align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation def areaForm' : E →L[ℝ] E →L[ℝ] ℝ := LinearMap.toContinuousLinearMap (↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm) #align orientation.area_form' Orientation.areaForm' @[simp] theorem areaForm'_apply (x : E) : o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) := rfl #align orientation.area_form'_apply Orientation.areaForm'_apply theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y] #align orientation.abs_area_form_le Orientation.abs_areaForm_le theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y] #align orientation.area_form_le Orientation.areaForm_le theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal] · simp [Fin.prod_univ_succ] intro i j hij fin_cases i <;> fin_cases j · simp_all · simpa using h · simpa [real_inner_comm] using h · simp_all #align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] [hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) : (Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y = o.areaForm (φ.symm x) (φ.symm y) := by have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by ext i fin_cases i <;> rfl simp [areaForm_to_volumeForm, volumeForm_map, this] #align orientation.area_form_map Orientation.areaForm_map theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E) (hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) : o.areaForm (φ x) (φ y) = o.areaForm x y := by convert o.areaForm_map φ (φ x) (φ y) · symm rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin] · simp · simp #align orientation.area_form_comp_linear_isometry_equiv Orientation.areaForm_comp_linearIsometryEquiv irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E := let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ := (InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm ↑to_dual.symm ∘ₗ ω #align orientation.right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁ @[simp] theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by -- Porting note: split `simp only` for greater proof control simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply, LinearIsometryEquiv.coe_toLinearEquiv] rw [InnerProductSpace.toDual_symm_apply] norm_cast #align orientation.inner_right_angle_rotation_aux₁_left Orientation.inner_rightAngleRotationAux₁_left @[simp] theorem inner_rightAngleRotationAux₁_right (x y : E) : ⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by rw [real_inner_comm] simp [o.areaForm_swap y x] #align orientation.inner_right_angle_rotation_aux₁_right Orientation.inner_rightAngleRotationAux₁_right def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E := { o.rightAngleRotationAux₁ with norm_map' := fun x => by dsimp refine le_antisymm ?_ ?_ · cases' eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h h · rw [← h] positivity refine le_of_mul_le_mul_right ?_ h rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left] exact o.areaForm_le x (o.rightAngleRotationAux₁ x) · let K : Submodule ℝ E := ℝ ∙ x have : Nontrivial Kᗮ := by apply @FiniteDimensional.nontrivial_of_finrank_pos ℝ have : finrank ℝ K ≤ Finset.card {x} := by rw [← Set.toFinset_singleton] exact finrank_span_le_card ({x} : Set E) have : Finset.card {x} = 1 := Finset.card_singleton x have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal have : finrank ℝ E = 2 := Fact.out linarith obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0 have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2 have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h) refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖) rw [← o.abs_areaForm_of_orthogonal hw'] rw [← o.inner_rightAngleRotationAux₁_left x w] exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w } #align orientation.right_angle_rotation_aux₂ Orientation.rightAngleRotationAux₂ @[simp] theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) : o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by apply ext_inner_left ℝ intro y have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ := LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this, inner_neg_right] #align orientation.right_angle_rotation_aux₁_right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁_rightAngleRotationAux₁ irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E := LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁) (by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂]) #align orientation.right_angle_rotation Orientation.rightAngleRotation local notation "J" => o.rightAngleRotation @[simp] theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by rw [rightAngleRotation] exact o.inner_rightAngleRotationAux₁_left x y #align orientation.inner_right_angle_rotation_left Orientation.inner_rightAngleRotation_left @[simp] theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by rw [rightAngleRotation] exact o.inner_rightAngleRotationAux₁_right x y #align orientation.inner_right_angle_rotation_right Orientation.inner_rightAngleRotation_right @[simp] theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by rw [rightAngleRotation] exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x #align orientation.right_angle_rotation_right_angle_rotation Orientation.rightAngleRotation_rightAngleRotation @[simp]
Mathlib/Analysis/InnerProductSpace/TwoDim.lean
280
283
theorem rightAngleRotation_symm : LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by
rw [rightAngleRotation] exact LinearIsometryEquiv.toLinearIsometry_injective rfl
import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Finsupp.Defs import Mathlib.Data.Nat.Cast.Order import Mathlib.Data.Set.Countable import Mathlib.Logic.Small.Set import Mathlib.Order.SuccPred.CompleteLinearOrder import Mathlib.SetTheory.Cardinal.SchroederBernstein #align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" assert_not_exists Field assert_not_exists Module open scoped Classical open Function Set Order noncomputable section universe u v w variable {α β : Type u} instance Cardinal.isEquivalent : Setoid (Type u) where r α β := Nonempty (α ≃ β) iseqv := ⟨ fun α => ⟨Equiv.refl α⟩, fun ⟨e⟩ => ⟨e.symm⟩, fun ⟨e₁⟩ ⟨e₂⟩ => ⟨e₁.trans e₂⟩⟩ #align cardinal.is_equivalent Cardinal.isEquivalent @[pp_with_univ] def Cardinal : Type (u + 1) := Quotient Cardinal.isEquivalent #align cardinal Cardinal namespace Cardinal def mk : Type u → Cardinal := Quotient.mk' #align cardinal.mk Cardinal.mk @[inherit_doc] scoped prefix:max "#" => Cardinal.mk instance canLiftCardinalType : CanLift Cardinal.{u} (Type u) mk fun _ => True := ⟨fun c _ => Quot.inductionOn c fun α => ⟨α, rfl⟩⟩ #align cardinal.can_lift_cardinal_Type Cardinal.canLiftCardinalType @[elab_as_elim] theorem inductionOn {p : Cardinal → Prop} (c : Cardinal) (h : ∀ α, p #α) : p c := Quotient.inductionOn c h #align cardinal.induction_on Cardinal.inductionOn @[elab_as_elim] theorem inductionOn₂ {p : Cardinal → Cardinal → Prop} (c₁ : Cardinal) (c₂ : Cardinal) (h : ∀ α β, p #α #β) : p c₁ c₂ := Quotient.inductionOn₂ c₁ c₂ h #align cardinal.induction_on₂ Cardinal.inductionOn₂ @[elab_as_elim] theorem inductionOn₃ {p : Cardinal → Cardinal → Cardinal → Prop} (c₁ : Cardinal) (c₂ : Cardinal) (c₃ : Cardinal) (h : ∀ α β γ, p #α #β #γ) : p c₁ c₂ c₃ := Quotient.inductionOn₃ c₁ c₂ c₃ h #align cardinal.induction_on₃ Cardinal.inductionOn₃ protected theorem eq : #α = #β ↔ Nonempty (α ≃ β) := Quotient.eq' #align cardinal.eq Cardinal.eq @[simp] theorem mk'_def (α : Type u) : @Eq Cardinal ⟦α⟧ #α := rfl #align cardinal.mk_def Cardinal.mk'_def @[simp] theorem mk_out (c : Cardinal) : #c.out = c := Quotient.out_eq _ #align cardinal.mk_out Cardinal.mk_out def outMkEquiv {α : Type v} : (#α).out ≃ α := Nonempty.some <| Cardinal.eq.mp (by simp) #align cardinal.out_mk_equiv Cardinal.outMkEquiv theorem mk_congr (e : α ≃ β) : #α = #β := Quot.sound ⟨e⟩ #align cardinal.mk_congr Cardinal.mk_congr alias _root_.Equiv.cardinal_eq := mk_congr #align equiv.cardinal_eq Equiv.cardinal_eq def map (f : Type u → Type v) (hf : ∀ α β, α ≃ β → f α ≃ f β) : Cardinal.{u} → Cardinal.{v} := Quotient.map f fun α β ⟨e⟩ => ⟨hf α β e⟩ #align cardinal.map Cardinal.map @[simp] theorem map_mk (f : Type u → Type v) (hf : ∀ α β, α ≃ β → f α ≃ f β) (α : Type u) : map f hf #α = #(f α) := rfl #align cardinal.map_mk Cardinal.map_mk def map₂ (f : Type u → Type v → Type w) (hf : ∀ α β γ δ, α ≃ β → γ ≃ δ → f α γ ≃ f β δ) : Cardinal.{u} → Cardinal.{v} → Cardinal.{w} := Quotient.map₂ f fun α β ⟨e₁⟩ γ δ ⟨e₂⟩ => ⟨hf α β γ δ e₁ e₂⟩ #align cardinal.map₂ Cardinal.map₂ @[pp_with_univ] def lift (c : Cardinal.{v}) : Cardinal.{max v u} := map ULift.{u, v} (fun _ _ e => Equiv.ulift.trans <| e.trans Equiv.ulift.symm) c #align cardinal.lift Cardinal.lift @[simp] theorem mk_uLift (α) : #(ULift.{v, u} α) = lift.{v} #α := rfl #align cardinal.mk_ulift Cardinal.mk_uLift -- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma -- further down in this file @[simp, nolint simpNF] theorem lift_umax : lift.{max u v, u} = lift.{v, u} := funext fun a => inductionOn a fun _ => (Equiv.ulift.trans Equiv.ulift.symm).cardinal_eq #align cardinal.lift_umax Cardinal.lift_umax -- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma -- further down in this file @[simp, nolint simpNF] theorem lift_umax' : lift.{max v u, u} = lift.{v, u} := lift_umax #align cardinal.lift_umax' Cardinal.lift_umax' -- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma -- further down in this file @[simp, nolint simpNF] theorem lift_id' (a : Cardinal.{max u v}) : lift.{u} a = a := inductionOn a fun _ => mk_congr Equiv.ulift #align cardinal.lift_id' Cardinal.lift_id' @[simp] theorem lift_id (a : Cardinal) : lift.{u, u} a = a := lift_id'.{u, u} a #align cardinal.lift_id Cardinal.lift_id -- porting note (#10618): simp can prove this -- @[simp] theorem lift_uzero (a : Cardinal.{u}) : lift.{0} a = a := lift_id'.{0, u} a #align cardinal.lift_uzero Cardinal.lift_uzero @[simp] theorem lift_lift.{u_1} (a : Cardinal.{u_1}) : lift.{w} (lift.{v} a) = lift.{max v w} a := inductionOn a fun _ => (Equiv.ulift.trans <| Equiv.ulift.trans Equiv.ulift.symm).cardinal_eq #align cardinal.lift_lift Cardinal.lift_lift instance : LE Cardinal.{u} := ⟨fun q₁ q₂ => Quotient.liftOn₂ q₁ q₂ (fun α β => Nonempty <| α ↪ β) fun _ _ _ _ ⟨e₁⟩ ⟨e₂⟩ => propext ⟨fun ⟨e⟩ => ⟨e.congr e₁ e₂⟩, fun ⟨e⟩ => ⟨e.congr e₁.symm e₂.symm⟩⟩⟩ instance partialOrder : PartialOrder Cardinal.{u} where le := (· ≤ ·) le_refl := by rintro ⟨α⟩ exact ⟨Embedding.refl _⟩ le_trans := by rintro ⟨α⟩ ⟨β⟩ ⟨γ⟩ ⟨e₁⟩ ⟨e₂⟩ exact ⟨e₁.trans e₂⟩ le_antisymm := by rintro ⟨α⟩ ⟨β⟩ ⟨e₁⟩ ⟨e₂⟩ exact Quotient.sound (e₁.antisymm e₂) instance linearOrder : LinearOrder Cardinal.{u} := { Cardinal.partialOrder with le_total := by rintro ⟨α⟩ ⟨β⟩ apply Embedding.total decidableLE := Classical.decRel _ } theorem le_def (α β : Type u) : #α ≤ #β ↔ Nonempty (α ↪ β) := Iff.rfl #align cardinal.le_def Cardinal.le_def theorem mk_le_of_injective {α β : Type u} {f : α → β} (hf : Injective f) : #α ≤ #β := ⟨⟨f, hf⟩⟩ #align cardinal.mk_le_of_injective Cardinal.mk_le_of_injective theorem _root_.Function.Embedding.cardinal_le {α β : Type u} (f : α ↪ β) : #α ≤ #β := ⟨f⟩ #align function.embedding.cardinal_le Function.Embedding.cardinal_le theorem mk_le_of_surjective {α β : Type u} {f : α → β} (hf : Surjective f) : #β ≤ #α := ⟨Embedding.ofSurjective f hf⟩ #align cardinal.mk_le_of_surjective Cardinal.mk_le_of_surjective theorem le_mk_iff_exists_set {c : Cardinal} {α : Type u} : c ≤ #α ↔ ∃ p : Set α, #p = c := ⟨inductionOn c fun _ ⟨⟨f, hf⟩⟩ => ⟨Set.range f, (Equiv.ofInjective f hf).cardinal_eq.symm⟩, fun ⟨_, e⟩ => e ▸ ⟨⟨Subtype.val, fun _ _ => Subtype.eq⟩⟩⟩ #align cardinal.le_mk_iff_exists_set Cardinal.le_mk_iff_exists_set theorem mk_subtype_le {α : Type u} (p : α → Prop) : #(Subtype p) ≤ #α := ⟨Embedding.subtype p⟩ #align cardinal.mk_subtype_le Cardinal.mk_subtype_le theorem mk_set_le (s : Set α) : #s ≤ #α := mk_subtype_le s #align cardinal.mk_set_le Cardinal.mk_set_le @[simp] lemma mk_preimage_down {s : Set α} : #(ULift.down.{v} ⁻¹' s) = lift.{v} (#s) := by rw [← mk_uLift, Cardinal.eq] constructor let f : ULift.down ⁻¹' s → ULift s := fun x ↦ ULift.up (restrictPreimage s ULift.down x) have : Function.Bijective f := ULift.up_bijective.comp (restrictPreimage_bijective _ (ULift.down_bijective)) exact Equiv.ofBijective f this
Mathlib/SetTheory/Cardinal/Basic.lean
304
307
theorem out_embedding {c c' : Cardinal} : c ≤ c' ↔ Nonempty (c.out ↪ c'.out) := by
trans · rw [← Quotient.out_eq c, ← Quotient.out_eq c'] · rw [mk'_def, mk'_def, le_def]
import Mathlib.RingTheory.FiniteType #align_import ring_theory.rees_algebra from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v variable {R M : Type u} [CommRing R] [AddCommGroup M] [Module R M] (I : Ideal R) open Polynomial open Polynomial def reesAlgebra : Subalgebra R R[X] where carrier := { f | ∀ i, f.coeff i ∈ I ^ i } mul_mem' hf hg i := by rw [coeff_mul] apply Ideal.sum_mem rintro ⟨j, k⟩ e rw [← Finset.mem_antidiagonal.mp e, pow_add] exact Ideal.mul_mem_mul (hf j) (hg k) one_mem' i := by rw [coeff_one] split_ifs with h · subst h simp · simp add_mem' hf hg i := by rw [coeff_add] exact Ideal.add_mem _ (hf i) (hg i) zero_mem' i := Ideal.zero_mem _ algebraMap_mem' r i := by rw [algebraMap_apply, coeff_C] split_ifs with h · subst h simp · simp #align rees_algebra reesAlgebra theorem mem_reesAlgebra_iff (f : R[X]) : f ∈ reesAlgebra I ↔ ∀ i, f.coeff i ∈ I ^ i := Iff.rfl #align mem_rees_algebra_iff mem_reesAlgebra_iff theorem mem_reesAlgebra_iff_support (f : R[X]) : f ∈ reesAlgebra I ↔ ∀ i ∈ f.support, f.coeff i ∈ I ^ i := by apply forall_congr' intro a rw [mem_support_iff, Iff.comm, Classical.imp_iff_right_iff, Ne, ← imp_iff_not_or] exact fun e => e.symm ▸ (I ^ a).zero_mem #align mem_rees_algebra_iff_support mem_reesAlgebra_iff_support theorem reesAlgebra.monomial_mem {I : Ideal R} {i : ℕ} {r : R} : monomial i r ∈ reesAlgebra I ↔ r ∈ I ^ i := by simp (config := { contextual := true }) [mem_reesAlgebra_iff_support, coeff_monomial, ← imp_iff_not_or] #align rees_algebra.monomial_mem reesAlgebra.monomial_mem theorem monomial_mem_adjoin_monomial {I : Ideal R} {n : ℕ} {r : R} (hr : r ∈ I ^ n) : monomial n r ∈ Algebra.adjoin R (Submodule.map (monomial 1 : R →ₗ[R] R[X]) I : Set R[X]) := by induction' n with n hn generalizing r · exact Subalgebra.algebraMap_mem _ _ · rw [pow_succ'] at hr apply Submodule.smul_induction_on -- Porting note: did not need help with motive previously (p := fun r => (monomial (Nat.succ n)) r ∈ Algebra.adjoin R (Submodule.map (monomial 1) I)) hr · intro r hr s hs rw [Nat.succ_eq_one_add, smul_eq_mul, ← monomial_mul_monomial] exact Subalgebra.mul_mem _ (Algebra.subset_adjoin (Set.mem_image_of_mem _ hr)) (hn hs) · intro x y hx hy rw [monomial_add] exact Subalgebra.add_mem _ hx hy #align monomial_mem_adjoin_monomial monomial_mem_adjoin_monomial theorem adjoin_monomial_eq_reesAlgebra : Algebra.adjoin R (Submodule.map (monomial 1 : R →ₗ[R] R[X]) I : Set R[X]) = reesAlgebra I := by apply le_antisymm · apply Algebra.adjoin_le _ rintro _ ⟨r, hr, rfl⟩ exact reesAlgebra.monomial_mem.mpr (by rwa [pow_one]) · intro p hp rw [p.as_sum_support] apply Subalgebra.sum_mem _ _ rintro i - exact monomial_mem_adjoin_monomial (hp i) #align adjoin_monomial_eq_rees_algebra adjoin_monomial_eq_reesAlgebra variable {I}
Mathlib/RingTheory/ReesAlgebra.lean
113
123
theorem reesAlgebra.fg (hI : I.FG) : (reesAlgebra I).FG := by
classical obtain ⟨s, hs⟩ := hI rw [← adjoin_monomial_eq_reesAlgebra, ← hs] use s.image (monomial 1) rw [Finset.coe_image] change _ = Algebra.adjoin R (Submodule.map (monomial 1 : R →ₗ[R] R[X]) (Submodule.span R ↑s) : Set R[X]) rw [Submodule.map_span, Algebra.adjoin_span]
import Mathlib.Data.List.Nodup #align_import data.prod.tprod from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" open List Function universe u v variable {ι : Type u} {α : ι → Type v} {i j : ι} {l : List ι} {f : ∀ i, α i} namespace List variable (α) abbrev TProd (l : List ι) : Type v := l.foldr (fun i β => α i × β) PUnit #align list.tprod List.TProd variable {α} namespace TProd open List protected def mk : ∀ (l : List ι) (_f : ∀ i, α i), TProd α l | [] => fun _ => PUnit.unit | i :: is => fun f => (f i, TProd.mk is f) #align list.tprod.mk List.TProd.mk instance [∀ i, Inhabited (α i)] : Inhabited (TProd α l) := ⟨TProd.mk l default⟩ @[simp] theorem fst_mk (i : ι) (l : List ι) (f : ∀ i, α i) : (TProd.mk (i :: l) f).1 = f i := rfl #align list.tprod.fst_mk List.TProd.fst_mk @[simp] theorem snd_mk (i : ι) (l : List ι) (f : ∀ i, α i) : (TProd.mk.{u,v} (i :: l) f).2 = TProd.mk.{u,v} l f := rfl #align list.tprod.snd_mk List.TProd.snd_mk variable [DecidableEq ι] protected def elim : ∀ {l : List ι} (_ : TProd α l) {i : ι} (_ : i ∈ l), α i | i :: is, v, j, hj => if hji : j = i then by subst hji exact v.1 else TProd.elim v.2 ((List.mem_cons.mp hj).resolve_left hji) #align list.tprod.elim List.TProd.elim @[simp]
Mathlib/Data/Prod/TProd.lean
90
90
theorem elim_self (v : TProd α (i :: l)) : v.elim (l.mem_cons_self i) = v.1 := by
simp [TProd.elim]
import Mathlib.Algebra.Polynomial.Smeval import Mathlib.GroupTheory.GroupAction.Ring import Mathlib.RingTheory.Polynomial.Pochhammer section Multichoose open Function Polynomial class BinomialRing (R : Type*) [AddCommMonoid R] [Pow R ℕ] where nsmul_right_injective (n : ℕ) (h : n ≠ 0) : Injective (n • · : R → R) multichoose : R → ℕ → R factorial_nsmul_multichoose (r : R) (n : ℕ) : n.factorial • multichoose r n = (ascPochhammer ℕ n).smeval r section Pochhammer namespace Polynomial theorem ascPochhammer_smeval_cast (R : Type*) [Semiring R] {S : Type*} [NonAssocSemiring S] [Pow S ℕ] [Module R S] [IsScalarTower R S S] [NatPowAssoc S] (x : S) (n : ℕ) : (ascPochhammer R n).smeval x = (ascPochhammer ℕ n).smeval x := by induction' n with n hn · simp only [Nat.zero_eq, ascPochhammer_zero, smeval_one, one_smul] · simp only [ascPochhammer_succ_right, mul_add, smeval_add, smeval_mul_X, ← Nat.cast_comm] simp only [← C_eq_natCast, smeval_C_mul, hn, ← nsmul_eq_smul_cast R n] exact rfl variable {R S : Type*} theorem ascPochhammer_smeval_eq_eval [Semiring R] (r : R) (n : ℕ) : (ascPochhammer ℕ n).smeval r = (ascPochhammer R n).eval r := by rw [eval_eq_smeval, ascPochhammer_smeval_cast R] variable [NonAssocRing R] [Pow R ℕ] [NatPowAssoc R]
Mathlib/RingTheory/Binomial.lean
107
115
theorem descPochhammer_smeval_eq_ascPochhammer (r : R) (n : ℕ) : (descPochhammer ℤ n).smeval r = (ascPochhammer ℕ n).smeval (r - n + 1) := by
induction n with | zero => simp only [descPochhammer_zero, ascPochhammer_zero, smeval_one, npow_zero] | succ n ih => rw [Nat.cast_succ, sub_add, add_sub_cancel_right, descPochhammer_succ_right, smeval_mul, ih, ascPochhammer_succ_left, X_mul, smeval_mul_X, smeval_comp, smeval_sub, ← C_eq_natCast, smeval_add, smeval_one, smeval_C] simp only [smeval_X, npow_one, npow_zero, zsmul_one, Int.cast_natCast, one_smul]
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Integral.IntegralEqImproper import Mathlib.MeasureTheory.Measure.Lebesgue.Integral #align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open Real Set Filter MeasureTheory intervalIntegral open scoped Topology theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by refine integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c (fun y => intervalIntegrable_exp.1) tendsto_id (eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_) simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff] exact (exp_pos _).le #align integrable_on_exp_Iic integrableOn_exp_Iic theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by refine tendsto_nhds_unique (intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_ simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]] exact tendsto_exp_atBot.const_sub _ #align integral_exp_Iic integral_exp_Iic theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 := exp_zero ▸ integral_exp_Iic 0 #align integral_exp_Iic_zero integral_exp_Iic_zero theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c) #align integral_exp_neg_Ioi integral_exp_neg_Ioi theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0 #align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) : IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by intro x hx -- Porting note: helped `convert` with explicit arguments convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1 field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm] have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by apply Tendsto.div_const simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1)) exact integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht #align integrable_on_Ioi_rpow_of_lt integrableOn_Ioi_rpow_of_lt theorem integrableOn_Ioi_rpow_iff {s t : ℝ} (ht : 0 < t) : IntegrableOn (fun x ↦ x ^ s) (Ioi t) ↔ s < -1 := by refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_rpow_of_lt h ht⟩ contrapose! h intro H have H' : IntegrableOn (fun x ↦ x ^ s) (Ioi (max 1 t)) := H.mono (Set.Ioi_subset_Ioi (le_max_right _ _)) le_rfl have : IntegrableOn (fun x ↦ x⁻¹) (Ioi (max 1 t)) := by apply H'.mono' measurable_inv.aestronglyMeasurable filter_upwards [ae_restrict_mem measurableSet_Ioi] with x hx have x_one : 1 ≤ x := ((le_max_left _ _).trans_lt (mem_Ioi.1 hx)).le simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (zero_le_one.trans x_one)] rw [← Real.rpow_neg_one x] exact Real.rpow_le_rpow_of_exponent_le x_one h exact not_IntegrableOn_Ioi_inv this theorem not_integrableOn_Ioi_rpow (s : ℝ) : ¬ IntegrableOn (fun x ↦ x ^ s) (Ioi (0 : ℝ)) := by intro h rcases le_or_lt s (-1) with hs|hs · have : IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) 1) := h.mono Ioo_subset_Ioi_self le_rfl rw [integrableOn_Ioo_rpow_iff zero_lt_one] at this exact hs.not_lt this · have : IntegrableOn (fun x ↦ x ^ s) (Ioi (1 : ℝ)) := h.mono (Ioi_subset_Ioi zero_le_one) le_rfl rw [integrableOn_Ioi_rpow_iff zero_lt_one] at this exact hs.not_lt this theorem setIntegral_Ioi_zero_rpow (s : ℝ) : ∫ x in Ioi (0 : ℝ), x ^ s = 0 := MeasureTheory.integral_undef (not_integrableOn_Ioi_rpow s) theorem integral_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) : ∫ t : ℝ in Ioi c, t ^ a = -c ^ (a + 1) / (a + 1) := by have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by intro x hx convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1 field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm] have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by apply Tendsto.div_const simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1)) convert integral_Ioi_of_hasDerivAt_of_tendsto' hd (integrableOn_Ioi_rpow_of_lt ha hc) ht using 1 simp only [neg_div, zero_div, zero_sub] #align integral_Ioi_rpow_of_lt integral_Ioi_rpow_of_lt theorem integrableOn_Ioi_cpow_of_lt {a : ℂ} (ha : a.re < -1) {c : ℝ} (hc : 0 < c) : IntegrableOn (fun t : ℝ => (t : ℂ) ^ a) (Ioi c) := by rw [IntegrableOn, ← integrable_norm_iff, ← IntegrableOn] · refine (integrableOn_Ioi_rpow_of_lt ha hc).congr_fun (fun x hx => ?_) measurableSet_Ioi · dsimp only rw [Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos (hc.trans hx)] · refine ContinuousOn.aestronglyMeasurable (fun t ht => ?_) measurableSet_Ioi exact (Complex.continuousAt_ofReal_cpow_const _ _ (Or.inr (hc.trans ht).ne')).continuousWithinAt #align integrable_on_Ioi_cpow_of_lt integrableOn_Ioi_cpow_of_lt theorem integrableOn_Ioi_cpow_iff {s : ℂ} {t : ℝ} (ht : 0 < t) : IntegrableOn (fun x : ℝ ↦ (x : ℂ) ^ s) (Ioi t) ↔ s.re < -1 := by refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_cpow_of_lt h ht⟩ have B : IntegrableOn (fun a ↦ a ^ s.re) (Ioi t) := by apply (integrableOn_congr_fun _ measurableSet_Ioi).1 h.norm intro a ha have : 0 < a := ht.trans ha simp [Complex.abs_cpow_eq_rpow_re_of_pos this] rwa [integrableOn_Ioi_rpow_iff ht] at B theorem not_integrableOn_Ioi_cpow (s : ℂ) : ¬ IntegrableOn (fun x : ℝ ↦ (x : ℂ) ^ s) (Ioi (0 : ℝ)) := by intro h rcases le_or_lt s.re (-1) with hs|hs · have : IntegrableOn (fun x : ℝ ↦ (x : ℂ) ^ s) (Ioo (0 : ℝ) 1) := h.mono Ioo_subset_Ioi_self le_rfl rw [integrableOn_Ioo_cpow_iff zero_lt_one] at this exact hs.not_lt this · have : IntegrableOn (fun x : ℝ ↦ (x : ℂ) ^ s) (Ioi 1) := h.mono (Ioi_subset_Ioi zero_le_one) le_rfl rw [integrableOn_Ioi_cpow_iff zero_lt_one] at this exact hs.not_lt this theorem setIntegral_Ioi_zero_cpow (s : ℂ) : ∫ x in Ioi (0 : ℝ), (x : ℂ) ^ s = 0 := MeasureTheory.integral_undef (not_integrableOn_Ioi_cpow s)
Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean
157
179
theorem integral_Ioi_cpow_of_lt {a : ℂ} (ha : a.re < -1) {c : ℝ} (hc : 0 < c) : (∫ t : ℝ in Ioi c, (t : ℂ) ^ a) = -(c : ℂ) ^ (a + 1) / (a + 1) := by
refine tendsto_nhds_unique (intervalIntegral_tendsto_integral_Ioi c (integrableOn_Ioi_cpow_of_lt ha hc) tendsto_id) ?_ suffices Tendsto (fun x : ℝ => ((x : ℂ) ^ (a + 1) - (c : ℂ) ^ (a + 1)) / (a + 1)) atTop (𝓝 <| -c ^ (a + 1) / (a + 1)) by refine this.congr' ((eventually_gt_atTop 0).mp (eventually_of_forall fun x hx => ?_)) dsimp only rw [integral_cpow, id] refine Or.inr ⟨?_, not_mem_uIcc_of_lt hc hx⟩ apply_fun Complex.re rw [Complex.neg_re, Complex.one_re] exact ha.ne simp_rw [← zero_sub, sub_div] refine (Tendsto.div_const ?_ _).sub_const _ rw [tendsto_zero_iff_norm_tendsto_zero] refine (tendsto_rpow_neg_atTop (by linarith : 0 < -(a.re + 1))).congr' ((eventually_gt_atTop 0).mp (eventually_of_forall fun x hx => ?_)) simp_rw [neg_neg, Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos hx, Complex.add_re, Complex.one_re]
import Mathlib.Algebra.Ring.Prod import Mathlib.GroupTheory.OrderOfElement import Mathlib.Tactic.FinCases #align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7" assert_not_exists Submodule open Function namespace ZMod instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ) def val : ∀ {n : ℕ}, ZMod n → ℕ | 0 => Int.natAbs | n + 1 => ((↑) : Fin (n + 1) → ℕ) #align zmod.val ZMod.val theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by cases n · cases NeZero.ne 0 rfl exact Fin.is_lt a #align zmod.val_lt ZMod.val_lt theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n := a.val_lt.le #align zmod.val_le ZMod.val_le @[simp] theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0 | 0 => rfl | _ + 1 => rfl #align zmod.val_zero ZMod.val_zero @[simp] theorem val_one' : (1 : ZMod 0).val = 1 := rfl #align zmod.val_one' ZMod.val_one' @[simp] theorem val_neg' {n : ZMod 0} : (-n).val = n.val := Int.natAbs_neg n #align zmod.val_neg' ZMod.val_neg' @[simp] theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val := Int.natAbs_mul m n #align zmod.val_mul' ZMod.val_mul' @[simp] theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by cases n · rw [Nat.mod_zero] exact Int.natAbs_ofNat a · apply Fin.val_natCast #align zmod.val_nat_cast ZMod.val_natCast @[deprecated (since := "2024-04-17")] alias val_nat_cast := val_natCast theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by simp only [val] rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one] lemma eq_one_of_isUnit_natCast {n : ℕ} (h : IsUnit (n : ZMod 0)) : n = 1 := by rw [← Nat.mod_zero n, ← val_natCast, val_unit'.mp h] theorem val_natCast_of_lt {n a : ℕ} (h : a < n) : (a : ZMod n).val = a := by rwa [val_natCast, Nat.mod_eq_of_lt] @[deprecated (since := "2024-04-17")] alias val_nat_cast_of_lt := val_natCast_of_lt instance charP (n : ℕ) : CharP (ZMod n) n where cast_eq_zero_iff' := by intro k cases' n with n · simp [zero_dvd_iff, Int.natCast_eq_zero, Nat.zero_eq] · exact Fin.natCast_eq_zero @[simp] theorem addOrderOf_one (n : ℕ) : addOrderOf (1 : ZMod n) = n := CharP.eq _ (CharP.addOrderOf_one _) (ZMod.charP n) #align zmod.add_order_of_one ZMod.addOrderOf_one @[simp] theorem addOrderOf_coe (a : ℕ) {n : ℕ} (n0 : n ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by cases' a with a · simp only [Nat.zero_eq, Nat.cast_zero, addOrderOf_zero, Nat.gcd_zero_right, Nat.pos_of_ne_zero n0, Nat.div_self] rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a.succ_ne_zero, ZMod.addOrderOf_one] #align zmod.add_order_of_coe ZMod.addOrderOf_coe @[simp] theorem addOrderOf_coe' {a : ℕ} (n : ℕ) (a0 : a ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a0, ZMod.addOrderOf_one] #align zmod.add_order_of_coe' ZMod.addOrderOf_coe' theorem ringChar_zmod_n (n : ℕ) : ringChar (ZMod n) = n := by rw [ringChar.eq_iff] exact ZMod.charP n #align zmod.ring_char_zmod_n ZMod.ringChar_zmod_n -- @[simp] -- Porting note (#10618): simp can prove this theorem natCast_self (n : ℕ) : (n : ZMod n) = 0 := CharP.cast_eq_zero (ZMod n) n #align zmod.nat_cast_self ZMod.natCast_self @[deprecated (since := "2024-04-17")] alias nat_cast_self := natCast_self @[simp] theorem natCast_self' (n : ℕ) : (n + 1 : ZMod (n + 1)) = 0 := by rw [← Nat.cast_add_one, natCast_self (n + 1)] #align zmod.nat_cast_self' ZMod.natCast_self' @[deprecated (since := "2024-04-17")] alias nat_cast_self' := natCast_self' section UniversalProperty variable {n : ℕ} {R : Type*} section variable [AddGroupWithOne R] def cast : ∀ {n : ℕ}, ZMod n → R | 0 => Int.cast | _ + 1 => fun i => i.val #align zmod.cast ZMod.cast @[simp] theorem cast_zero : (cast (0 : ZMod n) : R) = 0 := by delta ZMod.cast cases n · exact Int.cast_zero · simp #align zmod.cast_zero ZMod.cast_zero theorem cast_eq_val [NeZero n] (a : ZMod n) : (cast a : R) = a.val := by cases n · cases NeZero.ne 0 rfl rfl #align zmod.cast_eq_val ZMod.cast_eq_val variable {S : Type*} [AddGroupWithOne S] @[simp] theorem _root_.Prod.fst_zmod_cast (a : ZMod n) : (cast a : R × S).fst = cast a := by cases n · rfl · simp [ZMod.cast] #align prod.fst_zmod_cast Prod.fst_zmod_cast @[simp] theorem _root_.Prod.snd_zmod_cast (a : ZMod n) : (cast a : R × S).snd = cast a := by cases n · rfl · simp [ZMod.cast] #align prod.snd_zmod_cast Prod.snd_zmod_cast end theorem natCast_zmod_val {n : ℕ} [NeZero n] (a : ZMod n) : (a.val : ZMod n) = a := by cases n · cases NeZero.ne 0 rfl · apply Fin.cast_val_eq_self #align zmod.nat_cast_zmod_val ZMod.natCast_zmod_val @[deprecated (since := "2024-04-17")] alias nat_cast_zmod_val := natCast_zmod_val theorem natCast_rightInverse [NeZero n] : Function.RightInverse val ((↑) : ℕ → ZMod n) := natCast_zmod_val #align zmod.nat_cast_right_inverse ZMod.natCast_rightInverse @[deprecated (since := "2024-04-17")] alias nat_cast_rightInverse := natCast_rightInverse theorem natCast_zmod_surjective [NeZero n] : Function.Surjective ((↑) : ℕ → ZMod n) := natCast_rightInverse.surjective #align zmod.nat_cast_zmod_surjective ZMod.natCast_zmod_surjective @[deprecated (since := "2024-04-17")] alias nat_cast_zmod_surjective := natCast_zmod_surjective @[norm_cast] theorem intCast_zmod_cast (a : ZMod n) : ((cast a : ℤ) : ZMod n) = a := by cases n · simp [ZMod.cast, ZMod] · dsimp [ZMod.cast, ZMod] erw [Int.cast_natCast, Fin.cast_val_eq_self] #align zmod.int_cast_zmod_cast ZMod.intCast_zmod_cast @[deprecated (since := "2024-04-17")] alias int_cast_zmod_cast := intCast_zmod_cast theorem intCast_rightInverse : Function.RightInverse (cast : ZMod n → ℤ) ((↑) : ℤ → ZMod n) := intCast_zmod_cast #align zmod.int_cast_right_inverse ZMod.intCast_rightInverse @[deprecated (since := "2024-04-17")] alias int_cast_rightInverse := intCast_rightInverse theorem intCast_surjective : Function.Surjective ((↑) : ℤ → ZMod n) := intCast_rightInverse.surjective #align zmod.int_cast_surjective ZMod.intCast_surjective @[deprecated (since := "2024-04-17")] alias int_cast_surjective := intCast_surjective theorem cast_id : ∀ (n) (i : ZMod n), (ZMod.cast i : ZMod n) = i | 0, _ => Int.cast_id | _ + 1, i => natCast_zmod_val i #align zmod.cast_id ZMod.cast_id @[simp] theorem cast_id' : (ZMod.cast : ZMod n → ZMod n) = id := funext (cast_id n) #align zmod.cast_id' ZMod.cast_id' variable (R) [Ring R] @[simp] theorem natCast_comp_val [NeZero n] : ((↑) : ℕ → R) ∘ (val : ZMod n → ℕ) = cast := by cases n · cases NeZero.ne 0 rfl rfl #align zmod.nat_cast_comp_val ZMod.natCast_comp_val @[deprecated (since := "2024-04-17")] alias nat_cast_comp_val := natCast_comp_val @[simp] theorem intCast_comp_cast : ((↑) : ℤ → R) ∘ (cast : ZMod n → ℤ) = cast := by cases n · exact congr_arg (Int.cast ∘ ·) ZMod.cast_id' · ext simp [ZMod, ZMod.cast] #align zmod.int_cast_comp_cast ZMod.intCast_comp_cast @[deprecated (since := "2024-04-17")] alias int_cast_comp_cast := intCast_comp_cast variable {R} @[simp] theorem natCast_val [NeZero n] (i : ZMod n) : (i.val : R) = cast i := congr_fun (natCast_comp_val R) i #align zmod.nat_cast_val ZMod.natCast_val @[deprecated (since := "2024-04-17")] alias nat_cast_val := natCast_val @[simp] theorem intCast_cast (i : ZMod n) : ((cast i : ℤ) : R) = cast i := congr_fun (intCast_comp_cast R) i #align zmod.int_cast_cast ZMod.intCast_cast @[deprecated (since := "2024-04-17")] alias int_cast_cast := intCast_cast theorem cast_add_eq_ite {n : ℕ} (a b : ZMod n) : (cast (a + b) : ℤ) = if (n : ℤ) ≤ cast a + cast b then (cast a + cast b - n : ℤ) else cast a + cast b := by cases' n with n · simp; rfl change Fin (n + 1) at a b change ((((a + b) : Fin (n + 1)) : ℕ) : ℤ) = if ((n + 1 : ℕ) : ℤ) ≤ (a : ℕ) + b then _ else _ simp only [Fin.val_add_eq_ite, Int.ofNat_succ, Int.ofNat_le] norm_cast split_ifs with h · rw [Nat.cast_sub h] congr · rfl #align zmod.coe_add_eq_ite ZMod.cast_add_eq_ite theorem intCast_eq_intCast_iff (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [ZMOD c] := CharP.intCast_eq_intCast (ZMod c) c #align zmod.int_coe_eq_int_coe_iff ZMod.intCast_eq_intCast_iff @[deprecated (since := "2024-04-17")] alias int_cast_eq_int_cast_iff := intCast_eq_intCast_iff theorem intCast_eq_intCast_iff' (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c := ZMod.intCast_eq_intCast_iff a b c #align zmod.int_coe_eq_int_coe_iff' ZMod.intCast_eq_intCast_iff' @[deprecated (since := "2024-04-17")] alias int_cast_eq_int_cast_iff' := intCast_eq_intCast_iff' theorem natCast_eq_natCast_iff (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [MOD c] := by simpa [Int.natCast_modEq_iff] using ZMod.intCast_eq_intCast_iff a b c #align zmod.nat_coe_eq_nat_coe_iff ZMod.natCast_eq_natCast_iff @[deprecated (since := "2024-04-17")] alias nat_cast_eq_nat_cast_iff := natCast_eq_natCast_iff theorem natCast_eq_natCast_iff' (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c := ZMod.natCast_eq_natCast_iff a b c #align zmod.nat_coe_eq_nat_coe_iff' ZMod.natCast_eq_natCast_iff' @[deprecated (since := "2024-04-17")] alias nat_cast_eq_nat_cast_iff' := natCast_eq_natCast_iff' theorem intCast_zmod_eq_zero_iff_dvd (a : ℤ) (b : ℕ) : (a : ZMod b) = 0 ↔ (b : ℤ) ∣ a := by rw [← Int.cast_zero, ZMod.intCast_eq_intCast_iff, Int.modEq_zero_iff_dvd] #align zmod.int_coe_zmod_eq_zero_iff_dvd ZMod.intCast_zmod_eq_zero_iff_dvd @[deprecated (since := "2024-04-17")] alias int_cast_zmod_eq_zero_iff_dvd := intCast_zmod_eq_zero_iff_dvd theorem intCast_eq_intCast_iff_dvd_sub (a b : ℤ) (c : ℕ) : (a : ZMod c) = ↑b ↔ ↑c ∣ b - a := by rw [ZMod.intCast_eq_intCast_iff, Int.modEq_iff_dvd] #align zmod.int_coe_eq_int_coe_iff_dvd_sub ZMod.intCast_eq_intCast_iff_dvd_sub @[deprecated (since := "2024-04-17")] alias int_cast_eq_int_cast_iff_dvd_sub := intCast_eq_intCast_iff_dvd_sub theorem natCast_zmod_eq_zero_iff_dvd (a b : ℕ) : (a : ZMod b) = 0 ↔ b ∣ a := by rw [← Nat.cast_zero, ZMod.natCast_eq_natCast_iff, Nat.modEq_zero_iff_dvd] #align zmod.nat_coe_zmod_eq_zero_iff_dvd ZMod.natCast_zmod_eq_zero_iff_dvd @[deprecated (since := "2024-04-17")] alias nat_cast_zmod_eq_zero_iff_dvd := natCast_zmod_eq_zero_iff_dvd theorem val_intCast {n : ℕ} (a : ℤ) [NeZero n] : ↑(a : ZMod n).val = a % n := by have hle : (0 : ℤ) ≤ ↑(a : ZMod n).val := Int.natCast_nonneg _ have hlt : ↑(a : ZMod n).val < (n : ℤ) := Int.ofNat_lt.mpr (ZMod.val_lt a) refine (Int.emod_eq_of_lt hle hlt).symm.trans ?_ rw [← ZMod.intCast_eq_intCast_iff', Int.cast_natCast, ZMod.natCast_val, ZMod.cast_id] #align zmod.val_int_cast ZMod.val_intCast @[deprecated (since := "2024-04-17")] alias val_int_cast := val_intCast theorem coe_intCast {n : ℕ} (a : ℤ) : cast (a : ZMod n) = a % n := by cases n · rw [Int.ofNat_zero, Int.emod_zero, Int.cast_id]; rfl · rw [← val_intCast, val]; rfl #align zmod.coe_int_cast ZMod.coe_intCast @[deprecated (since := "2024-04-17")] alias coe_int_cast := coe_intCast @[simp] theorem val_neg_one (n : ℕ) : (-1 : ZMod n.succ).val = n := by dsimp [val, Fin.coe_neg] cases n · simp [Nat.mod_one] · dsimp [ZMod, ZMod.cast] rw [Fin.coe_neg_one] #align zmod.val_neg_one ZMod.val_neg_one theorem cast_neg_one {R : Type*} [Ring R] (n : ℕ) : cast (-1 : ZMod n) = (n - 1 : R) := by cases' n with n · dsimp [ZMod, ZMod.cast]; simp · rw [← natCast_val, val_neg_one, Nat.cast_succ, add_sub_cancel_right] #align zmod.cast_neg_one ZMod.cast_neg_one theorem cast_sub_one {R : Type*} [Ring R] {n : ℕ} (k : ZMod n) : (cast (k - 1 : ZMod n) : R) = (if k = 0 then (n : R) else cast k) - 1 := by split_ifs with hk · rw [hk, zero_sub, ZMod.cast_neg_one] · cases n · dsimp [ZMod, ZMod.cast] rw [Int.cast_sub, Int.cast_one] · dsimp [ZMod, ZMod.cast, ZMod.val] rw [Fin.coe_sub_one, if_neg] · rw [Nat.cast_sub, Nat.cast_one] rwa [Fin.ext_iff, Fin.val_zero, ← Ne, ← Nat.one_le_iff_ne_zero] at hk · exact hk #align zmod.cast_sub_one ZMod.cast_sub_one theorem natCast_eq_iff (p : ℕ) (n : ℕ) (z : ZMod p) [NeZero p] : ↑n = z ↔ ∃ k, n = z.val + p * k := by constructor · rintro rfl refine ⟨n / p, ?_⟩ rw [val_natCast, Nat.mod_add_div] · rintro ⟨k, rfl⟩ rw [Nat.cast_add, natCast_zmod_val, Nat.cast_mul, natCast_self, zero_mul, add_zero] #align zmod.nat_coe_zmod_eq_iff ZMod.natCast_eq_iff theorem intCast_eq_iff (p : ℕ) (n : ℤ) (z : ZMod p) [NeZero p] : ↑n = z ↔ ∃ k, n = z.val + p * k := by constructor · rintro rfl refine ⟨n / p, ?_⟩ rw [val_intCast, Int.emod_add_ediv] · rintro ⟨k, rfl⟩ rw [Int.cast_add, Int.cast_mul, Int.cast_natCast, Int.cast_natCast, natCast_val, ZMod.natCast_self, zero_mul, add_zero, cast_id] #align zmod.int_coe_zmod_eq_iff ZMod.intCast_eq_iff @[deprecated (since := "2024-05-25")] alias nat_coe_zmod_eq_iff := natCast_eq_iff @[deprecated (since := "2024-05-25")] alias int_coe_zmod_eq_iff := intCast_eq_iff @[push_cast, simp] theorem intCast_mod (a : ℤ) (b : ℕ) : ((a % b : ℤ) : ZMod b) = (a : ZMod b) := by rw [ZMod.intCast_eq_intCast_iff] apply Int.mod_modEq #align zmod.int_cast_mod ZMod.intCast_mod @[deprecated (since := "2024-04-17")] alias int_cast_mod := intCast_mod theorem ker_intCastAddHom (n : ℕ) : (Int.castAddHom (ZMod n)).ker = AddSubgroup.zmultiples (n : ℤ) := by ext rw [Int.mem_zmultiples_iff, AddMonoidHom.mem_ker, Int.coe_castAddHom, intCast_zmod_eq_zero_iff_dvd] #align zmod.ker_int_cast_add_hom ZMod.ker_intCastAddHom @[deprecated (since := "2024-04-17")] alias ker_int_castAddHom := ker_intCastAddHom
Mathlib/Data/ZMod/Basic.lean
694
703
theorem cast_injective_of_le {m n : ℕ} [nzm : NeZero m] (h : m ≤ n) : Function.Injective (@cast (ZMod n) _ m) := by
cases m with | zero => cases nzm; simp_all | succ m => rintro ⟨x, hx⟩ ⟨y, hy⟩ f simp only [cast, val, natCast_eq_natCast_iff', Nat.mod_eq_of_lt (hx.trans_le h), Nat.mod_eq_of_lt (hy.trans_le h)] at f apply Fin.ext exact f
import Mathlib.Analysis.NormedSpace.Star.GelfandDuality import Mathlib.Topology.Algebra.StarSubalgebra #align_import analysis.normed_space.star.continuous_functional_calculus from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004" open scoped Pointwise ENNReal NNReal ComplexOrder open WeakDual WeakDual.CharacterSpace elementalStarAlgebra variable {A : Type*} [NormedRing A] [NormedAlgebra ℂ A] variable [StarRing A] [CstarRing A] [StarModule ℂ A] instance {R A : Type*} [CommRing R] [StarRing R] [NormedRing A] [Algebra R A] [StarRing A] [ContinuousStar A] [StarModule R A] (a : A) [IsStarNormal a] : NormedCommRing (elementalStarAlgebra R a) := { SubringClass.toNormedRing (elementalStarAlgebra R a) with mul_comm := mul_comm } -- Porting note: these hack instances no longer seem to be necessary #noalign elemental_star_algebra.complex.normed_algebra variable [CompleteSpace A] (a : A) [IsStarNormal a] (S : StarSubalgebra ℂ A) theorem spectrum_star_mul_self_of_isStarNormal : spectrum ℂ (star a * a) ⊆ Set.Icc (0 : ℂ) ‖star a * a‖ := by -- this instance should be found automatically, but without providing it Lean goes on a wild -- goose chase when trying to apply `spectrum.gelfandTransform_eq`. --letI := elementalStarAlgebra.Complex.normedAlgebra a rcases subsingleton_or_nontrivial A with ⟨⟩ · simp only [spectrum.of_subsingleton, Set.empty_subset] · set a' : elementalStarAlgebra ℂ a := ⟨a, self_mem ℂ a⟩ refine (spectrum.subset_starSubalgebra (star a' * a')).trans ?_ rw [← spectrum.gelfandTransform_eq (star a' * a'), ContinuousMap.spectrum_eq_range] rintro - ⟨φ, rfl⟩ rw [gelfandTransform_apply_apply ℂ _ (star a' * a') φ, map_mul φ, map_star φ] rw [Complex.eq_coe_norm_of_nonneg (star_mul_self_nonneg _), ← map_star, ← map_mul] exact ⟨by positivity, Complex.real_le_real.2 (AlgHom.norm_apply_le_self φ (star a' * a'))⟩ #align spectrum_star_mul_self_of_is_star_normal spectrum_star_mul_self_of_isStarNormal variable {a} theorem elementalStarAlgebra.isUnit_of_isUnit_of_isStarNormal (h : IsUnit a) : IsUnit (⟨a, self_mem ℂ a⟩ : elementalStarAlgebra ℂ a) := by nontriviality A set a' : elementalStarAlgebra ℂ a := ⟨a, self_mem ℂ a⟩ suffices IsUnit (star a' * a') from (IsUnit.mul_iff.1 this).2 replace h := (show Commute (star a) a from star_comm_self' a).isUnit_mul_iff.2 ⟨h.star, h⟩ have h₁ : (‖star a * a‖ : ℂ) ≠ 0 := Complex.ofReal_ne_zero.mpr (norm_ne_zero_iff.mpr h.ne_zero) set u : Units (elementalStarAlgebra ℂ a) := Units.map (algebraMap ℂ (elementalStarAlgebra ℂ a)).toMonoidHom (Units.mk0 _ h₁) refine ⟨u.ofNearby _ ?_, rfl⟩ simp only [u, Units.coe_map, Units.val_inv_eq_inv_val, RingHom.toMonoidHom_eq_coe, Units.val_mk0, Units.coe_map_inv, MonoidHom.coe_coe, norm_algebraMap', norm_inv, Complex.norm_eq_abs, Complex.abs_ofReal, abs_norm, inv_inv] --RingHom.coe_monoidHom, -- Complex.abs_ofReal, map_inv₀, --rw [norm_algebraMap', inv_inv, Complex.norm_eq_abs, abs_norm]I- have h₂ : ∀ z ∈ spectrum ℂ (algebraMap ℂ A ‖star a * a‖ - star a * a), ‖z‖₊ < ‖star a * a‖₊ := by intro z hz rw [← spectrum.singleton_sub_eq, Set.singleton_sub] at hz have h₃ : z ∈ Set.Icc (0 : ℂ) ‖star a * a‖ := by replace hz := Set.image_subset _ (spectrum_star_mul_self_of_isStarNormal a) hz rwa [Set.image_const_sub_Icc, sub_self, sub_zero] at hz refine lt_of_le_of_ne (Complex.real_le_real.1 <| Complex.eq_coe_norm_of_nonneg h₃.1 ▸ h₃.2) ?_ · intro hz' replace hz' := congr_arg (fun x : ℝ≥0 => ((x : ℝ) : ℂ)) hz' simp only [coe_nnnorm] at hz' rw [← Complex.eq_coe_norm_of_nonneg h₃.1] at hz' obtain ⟨w, hw₁, hw₂⟩ := hz refine (spectrum.zero_not_mem_iff ℂ).mpr h ?_ rw [hz', sub_eq_self] at hw₂ rwa [hw₂] at hw₁ exact ENNReal.coe_lt_coe.1 (calc (‖star a' * a' - algebraMap ℂ _ ‖star a * a‖‖₊ : ℝ≥0∞) = ‖algebraMap ℂ A ‖star a * a‖ - star a * a‖₊ := by rw [← nnnorm_neg, neg_sub]; rfl _ = spectralRadius ℂ (algebraMap ℂ A ‖star a * a‖ - star a * a) := by refine (IsSelfAdjoint.spectralRadius_eq_nnnorm ?_).symm rw [IsSelfAdjoint, star_sub, star_mul, star_star, ← algebraMap_star_comm] congr! exact RCLike.conj_ofReal _ _ < ‖star a * a‖₊ := spectrum.spectralRadius_lt_of_forall_lt _ h₂) #align elemental_star_algebra.is_unit_of_is_unit_of_is_star_normal elementalStarAlgebra.isUnit_of_isUnit_of_isStarNormal theorem StarSubalgebra.isUnit_coe_inv_mem {S : StarSubalgebra ℂ A} (hS : IsClosed (S : Set A)) {x : A} (h : IsUnit x) (hxS : x ∈ S) : ↑h.unit⁻¹ ∈ S := by have hx := h.star.mul h suffices this : (↑hx.unit⁻¹ : A) ∈ S by rw [← one_mul (↑h.unit⁻¹ : A), ← hx.unit.inv_mul, mul_assoc, IsUnit.unit_spec, mul_assoc, h.mul_val_inv, mul_one] exact mul_mem this (star_mem hxS) refine le_of_isClosed_of_mem ℂ hS (mul_mem (star_mem hxS) hxS) ?_ haveI := (IsSelfAdjoint.star_mul_self x).isStarNormal have hx' := elementalStarAlgebra.isUnit_of_isUnit_of_isStarNormal hx convert (↑hx'.unit⁻¹ : elementalStarAlgebra ℂ (star x * x)).prop using 1 refine left_inv_eq_right_inv hx.unit.inv_mul ?_ exact (congr_arg ((↑) : _ → A) hx'.unit.mul_inv) #align star_subalgebra.is_unit_coe_inv_mem StarSubalgebra.isUnit_coe_inv_mem
Mathlib/Analysis/NormedSpace/Star/ContinuousFunctionalCalculus.lean
196
201
theorem StarSubalgebra.coe_isUnit {S : StarSubalgebra ℂ A} (hS : IsClosed (S : Set A)) {x : S} : IsUnit (x : A) ↔ IsUnit x := by
refine ⟨fun hx => ⟨⟨x, ⟨(↑hx.unit⁻¹ : A), StarSubalgebra.isUnit_coe_inv_mem hS hx x.prop⟩, ?_, ?_⟩, rfl⟩, fun hx => hx.map S.subtype⟩ exacts [Subtype.coe_injective hx.mul_val_inv, Subtype.coe_injective hx.val_inv_mul]
import Mathlib.CategoryTheory.Category.Grpd import Mathlib.CategoryTheory.Groupoid import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Homotopy.Path import Mathlib.Data.Set.Subsingleton #align_import algebraic_topology.fundamental_groupoid.basic from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042" open CategoryTheory universe u v variable {X : Type u} {Y : Type v} [TopologicalSpace X] [TopologicalSpace Y] variable {x₀ x₁ : X} noncomputable section open unitInterval namespace Path namespace Homotopy section def reflTransSymmAux (x : I × I) : ℝ := if (x.2 : ℝ) ≤ 1 / 2 then x.1 * 2 * x.2 else x.1 * (2 - 2 * x.2) #align path.homotopy.refl_trans_symm_aux Path.Homotopy.reflTransSymmAux @[continuity] theorem continuous_reflTransSymmAux : Continuous reflTransSymmAux := by refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_ · continuity · continuity · continuity · continuity intro x hx norm_num [hx, mul_assoc] #align path.homotopy.continuous_refl_trans_symm_aux Path.Homotopy.continuous_reflTransSymmAux theorem reflTransSymmAux_mem_I (x : I × I) : reflTransSymmAux x ∈ I := by dsimp only [reflTransSymmAux] split_ifs · constructor · apply mul_nonneg · apply mul_nonneg · unit_interval · norm_num · unit_interval · rw [mul_assoc] apply mul_le_one · unit_interval · apply mul_nonneg · norm_num · unit_interval · linarith · constructor · apply mul_nonneg · unit_interval linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2] · apply mul_le_one · unit_interval · linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2] · linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2] set_option linter.uppercaseLean3 false in #align path.homotopy.refl_trans_symm_aux_mem_I Path.Homotopy.reflTransSymmAux_mem_I def reflTransSymm (p : Path x₀ x₁) : Homotopy (Path.refl x₀) (p.trans p.symm) where toFun x := p ⟨reflTransSymmAux x, reflTransSymmAux_mem_I x⟩ continuous_toFun := by continuity map_zero_left := by simp [reflTransSymmAux] map_one_left x := by dsimp only [reflTransSymmAux, Path.coe_toContinuousMap, Path.trans] change _ = ite _ _ _ split_ifs with h · rw [Path.extend, Set.IccExtend_of_mem] · norm_num · rw [unitInterval.mul_pos_mem_iff zero_lt_two] exact ⟨unitInterval.nonneg x, h⟩ · rw [Path.symm, Path.extend, Set.IccExtend_of_mem] · simp only [Set.Icc.coe_one, one_mul, coe_mk_mk, Function.comp_apply] congr 1 ext norm_num [sub_sub_eq_add_sub] · rw [unitInterval.two_mul_sub_one_mem_iff] exact ⟨(not_le.1 h).le, unitInterval.le_one x⟩ prop' t x hx := by simp only [Set.mem_singleton_iff, Set.mem_insert_iff] at hx simp only [ContinuousMap.coe_mk, coe_toContinuousMap, Path.refl_apply] cases hx with | inl hx | inr hx => set_option tactic.skipAssignedInstances false in rw [hx] norm_num [reflTransSymmAux] #align path.homotopy.refl_trans_symm Path.Homotopy.reflTransSymm def reflSymmTrans (p : Path x₀ x₁) : Homotopy (Path.refl x₁) (p.symm.trans p) := (reflTransSymm p.symm).cast rfl <| congr_arg _ (Path.symm_symm _) #align path.homotopy.refl_symm_trans Path.Homotopy.reflSymmTrans end section TransRefl def transReflReparamAux (t : I) : ℝ := if (t : ℝ) ≤ 1 / 2 then 2 * t else 1 #align path.homotopy.trans_refl_reparam_aux Path.Homotopy.transReflReparamAux @[continuity] theorem continuous_transReflReparamAux : Continuous transReflReparamAux := by refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_ <;> [continuity; continuity; continuity; continuity; skip] intro x hx simp [hx] #align path.homotopy.continuous_trans_refl_reparam_aux Path.Homotopy.continuous_transReflReparamAux theorem transReflReparamAux_mem_I (t : I) : transReflReparamAux t ∈ I := by unfold transReflReparamAux split_ifs <;> constructor <;> linarith [unitInterval.le_one t, unitInterval.nonneg t] set_option linter.uppercaseLean3 false in #align path.homotopy.trans_refl_reparam_aux_mem_I Path.Homotopy.transReflReparamAux_mem_I theorem transReflReparamAux_zero : transReflReparamAux 0 = 0 := by set_option tactic.skipAssignedInstances false in norm_num [transReflReparamAux] #align path.homotopy.trans_refl_reparam_aux_zero Path.Homotopy.transReflReparamAux_zero
Mathlib/AlgebraicTopology/FundamentalGroupoid/Basic.lean
148
149
theorem transReflReparamAux_one : transReflReparamAux 1 = 1 := by
set_option tactic.skipAssignedInstances false in norm_num [transReflReparamAux]
import Mathlib.Algebra.CharP.Two import Mathlib.Algebra.CharP.Reduced import Mathlib.Algebra.NeZero import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.GroupTheory.SpecificGroups.Cyclic import Mathlib.NumberTheory.Divisors import Mathlib.RingTheory.IntegralDomain import Mathlib.Tactic.Zify #align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" open scoped Classical Polynomial noncomputable section open Polynomial open Finset variable {M N G R S F : Type*} variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G] section rootsOfUnity variable {k l : ℕ+} def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where carrier := {ζ | ζ ^ (k : ℕ) = 1} one_mem' := one_pow _ mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul] inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one] #align roots_of_unity rootsOfUnity @[simp] theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 := Iff.rfl #align mem_roots_of_unity mem_rootsOfUnity theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by rw [mem_rootsOfUnity]; norm_cast #align mem_roots_of_unity' mem_rootsOfUnity' @[simp] theorem rootsOfUnity_one (M : Type*) [CommMonoid M] : rootsOfUnity 1 M = ⊥ := by ext; simp theorem rootsOfUnity.coe_injective {n : ℕ+} : Function.Injective (fun x : rootsOfUnity n M ↦ x.val.val) := Units.ext.comp fun _ _ => Subtype.eq #align roots_of_unity.coe_injective rootsOfUnity.coe_injective @[simps! coe_val] def rootsOfUnity.mkOfPowEq (ζ : M) {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : rootsOfUnity n M := ⟨Units.ofPowEqOne ζ n h n.ne_zero, Units.pow_ofPowEqOne _ _⟩ #align roots_of_unity.mk_of_pow_eq rootsOfUnity.mkOfPowEq #align roots_of_unity.mk_of_pow_eq_coe_coe rootsOfUnity.val_mkOfPowEq_coe @[simp] theorem rootsOfUnity.coe_mkOfPowEq {ζ : M} {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : ((rootsOfUnity.mkOfPowEq _ h : Mˣ) : M) = ζ := rfl #align roots_of_unity.coe_mk_of_pow_eq rootsOfUnity.coe_mkOfPowEq theorem rootsOfUnity_le_of_dvd (h : k ∣ l) : rootsOfUnity k M ≤ rootsOfUnity l M := by obtain ⟨d, rfl⟩ := h intro ζ h simp_all only [mem_rootsOfUnity, PNat.mul_coe, pow_mul, one_pow] #align roots_of_unity_le_of_dvd rootsOfUnity_le_of_dvd theorem map_rootsOfUnity (f : Mˣ →* Nˣ) (k : ℕ+) : (rootsOfUnity k M).map f ≤ rootsOfUnity k N := by rintro _ ⟨ζ, h, rfl⟩ simp_all only [← map_pow, mem_rootsOfUnity, SetLike.mem_coe, MonoidHom.map_one] #align map_roots_of_unity map_rootsOfUnity @[norm_cast] theorem rootsOfUnity.coe_pow [CommMonoid R] (ζ : rootsOfUnity k R) (m : ℕ) : (((ζ ^ m :) : Rˣ) : R) = ((ζ : Rˣ) : R) ^ m := by rw [Subgroup.coe_pow, Units.val_pow_eq_pow_val] #align roots_of_unity.coe_pow rootsOfUnity.coe_pow @[mk_iff IsPrimitiveRoot.iff_def] structure IsPrimitiveRoot (ζ : M) (k : ℕ) : Prop where pow_eq_one : ζ ^ (k : ℕ) = 1 dvd_of_pow_eq_one : ∀ l : ℕ, ζ ^ l = 1 → k ∣ l #align is_primitive_root IsPrimitiveRoot #align is_primitive_root.iff_def IsPrimitiveRoot.iff_def @[simps!] def IsPrimitiveRoot.toRootsOfUnity {μ : M} {n : ℕ+} (h : IsPrimitiveRoot μ n) : rootsOfUnity n M := rootsOfUnity.mkOfPowEq μ h.pow_eq_one #align is_primitive_root.to_roots_of_unity IsPrimitiveRoot.toRootsOfUnity #align is_primitive_root.coe_to_roots_of_unity_coe IsPrimitiveRoot.val_toRootsOfUnity_coe #align is_primitive_root.coe_inv_to_roots_of_unity_coe IsPrimitiveRoot.val_inv_toRootsOfUnity_coe namespace IsPrimitiveRoot variable {k l : ℕ} theorem mk_of_lt (ζ : M) (hk : 0 < k) (h1 : ζ ^ k = 1) (h : ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1) : IsPrimitiveRoot ζ k := by refine ⟨h1, fun l hl => ?_⟩ suffices k.gcd l = k by exact this ▸ k.gcd_dvd_right l rw [eq_iff_le_not_lt] refine ⟨Nat.le_of_dvd hk (k.gcd_dvd_left l), ?_⟩ intro h'; apply h _ (Nat.gcd_pos_of_pos_left _ hk) h' exact pow_gcd_eq_one _ h1 hl #align is_primitive_root.mk_of_lt IsPrimitiveRoot.mk_of_lt section CommMonoid variable {ζ : M} {f : F} (h : IsPrimitiveRoot ζ k) @[nontriviality] theorem of_subsingleton [Subsingleton M] (x : M) : IsPrimitiveRoot x 1 := ⟨Subsingleton.elim _ _, fun _ _ => one_dvd _⟩ #align is_primitive_root.of_subsingleton IsPrimitiveRoot.of_subsingleton theorem pow_eq_one_iff_dvd (l : ℕ) : ζ ^ l = 1 ↔ k ∣ l := ⟨h.dvd_of_pow_eq_one l, by rintro ⟨i, rfl⟩; simp only [pow_mul, h.pow_eq_one, one_pow, PNat.mul_coe]⟩ #align is_primitive_root.pow_eq_one_iff_dvd IsPrimitiveRoot.pow_eq_one_iff_dvd theorem isUnit (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) : IsUnit ζ := by apply isUnit_of_mul_eq_one ζ (ζ ^ (k - 1)) rw [← pow_succ', tsub_add_cancel_of_le h0.nat_succ_le, h.pow_eq_one] #align is_primitive_root.is_unit IsPrimitiveRoot.isUnit theorem pow_ne_one_of_pos_of_lt (h0 : 0 < l) (hl : l < k) : ζ ^ l ≠ 1 := mt (Nat.le_of_dvd h0 ∘ h.dvd_of_pow_eq_one _) <| not_le_of_lt hl #align is_primitive_root.pow_ne_one_of_pos_of_lt IsPrimitiveRoot.pow_ne_one_of_pos_of_lt theorem ne_one (hk : 1 < k) : ζ ≠ 1 := h.pow_ne_one_of_pos_of_lt zero_lt_one hk ∘ (pow_one ζ).trans #align is_primitive_root.ne_one IsPrimitiveRoot.ne_one theorem pow_inj (h : IsPrimitiveRoot ζ k) ⦃i j : ℕ⦄ (hi : i < k) (hj : j < k) (H : ζ ^ i = ζ ^ j) : i = j := by wlog hij : i ≤ j generalizing i j · exact (this hj hi H.symm (le_of_not_le hij)).symm apply le_antisymm hij rw [← tsub_eq_zero_iff_le] apply Nat.eq_zero_of_dvd_of_lt _ (lt_of_le_of_lt tsub_le_self hj) apply h.dvd_of_pow_eq_one rw [← ((h.isUnit (lt_of_le_of_lt (Nat.zero_le _) hi)).pow i).mul_left_inj, ← pow_add, tsub_add_cancel_of_le hij, H, one_mul] #align is_primitive_root.pow_inj IsPrimitiveRoot.pow_inj theorem one : IsPrimitiveRoot (1 : M) 1 := { pow_eq_one := pow_one _ dvd_of_pow_eq_one := fun _ _ => one_dvd _ } #align is_primitive_root.one IsPrimitiveRoot.one @[simp] theorem one_right_iff : IsPrimitiveRoot ζ 1 ↔ ζ = 1 := by clear h constructor · intro h; rw [← pow_one ζ, h.pow_eq_one] · rintro rfl; exact one #align is_primitive_root.one_right_iff IsPrimitiveRoot.one_right_iff @[simp] theorem coe_submonoidClass_iff {M B : Type*} [CommMonoid M] [SetLike B M] [SubmonoidClass B M] {N : B} {ζ : N} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by simp_rw [iff_def] norm_cast #align is_primitive_root.coe_submonoid_class_iff IsPrimitiveRoot.coe_submonoidClass_iff @[simp] theorem coe_units_iff {ζ : Mˣ} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by simp only [iff_def, Units.ext_iff, Units.val_pow_eq_pow_val, Units.val_one] #align is_primitive_root.coe_units_iff IsPrimitiveRoot.coe_units_iff lemma isUnit_unit {ζ : M} {n} (hn) (hζ : IsPrimitiveRoot ζ n) : IsPrimitiveRoot (hζ.isUnit hn).unit n := coe_units_iff.mp hζ lemma isUnit_unit' {ζ : G} {n} (hn) (hζ : IsPrimitiveRoot ζ n) : IsPrimitiveRoot (hζ.isUnit hn).unit' n := coe_units_iff.mp hζ -- Porting note `variable` above already contains `(h : IsPrimitiveRoot ζ k)` theorem pow_of_coprime (i : ℕ) (hi : i.Coprime k) : IsPrimitiveRoot (ζ ^ i) k := by by_cases h0 : k = 0 · subst k; simp_all only [pow_one, Nat.coprime_zero_right] rcases h.isUnit (Nat.pos_of_ne_zero h0) with ⟨ζ, rfl⟩ rw [← Units.val_pow_eq_pow_val] rw [coe_units_iff] at h ⊢ refine { pow_eq_one := by rw [← pow_mul', pow_mul, h.pow_eq_one, one_pow] dvd_of_pow_eq_one := ?_ } intro l hl apply h.dvd_of_pow_eq_one rw [← pow_one ζ, ← zpow_natCast ζ, ← hi.gcd_eq_one, Nat.gcd_eq_gcd_ab, zpow_add, mul_pow, ← zpow_natCast, ← zpow_mul, mul_right_comm] simp only [zpow_mul, hl, h.pow_eq_one, one_zpow, one_pow, one_mul, zpow_natCast] #align is_primitive_root.pow_of_coprime IsPrimitiveRoot.pow_of_coprime theorem pow_of_prime (h : IsPrimitiveRoot ζ k) {p : ℕ} (hprime : Nat.Prime p) (hdiv : ¬p ∣ k) : IsPrimitiveRoot (ζ ^ p) k := h.pow_of_coprime p (hprime.coprime_iff_not_dvd.2 hdiv) #align is_primitive_root.pow_of_prime IsPrimitiveRoot.pow_of_prime theorem pow_iff_coprime (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) (i : ℕ) : IsPrimitiveRoot (ζ ^ i) k ↔ i.Coprime k := by refine ⟨?_, h.pow_of_coprime i⟩ intro hi obtain ⟨a, ha⟩ := i.gcd_dvd_left k obtain ⟨b, hb⟩ := i.gcd_dvd_right k suffices b = k by -- Porting note: was `rwa [this, ← one_mul k, mul_left_inj' h0.ne', eq_comm] at hb` rw [this, eq_comm, Nat.mul_left_eq_self_iff h0] at hb rwa [Nat.Coprime] rw [ha] at hi rw [mul_comm] at hb apply Nat.dvd_antisymm ⟨i.gcd k, hb⟩ (hi.dvd_of_pow_eq_one b _) rw [← pow_mul', ← mul_assoc, ← hb, pow_mul, h.pow_eq_one, one_pow] #align is_primitive_root.pow_iff_coprime IsPrimitiveRoot.pow_iff_coprime protected theorem orderOf (ζ : M) : IsPrimitiveRoot ζ (orderOf ζ) := ⟨pow_orderOf_eq_one ζ, fun _ => orderOf_dvd_of_pow_eq_one⟩ #align is_primitive_root.order_of IsPrimitiveRoot.orderOf theorem unique {ζ : M} (hk : IsPrimitiveRoot ζ k) (hl : IsPrimitiveRoot ζ l) : k = l := Nat.dvd_antisymm (hk.2 _ hl.1) (hl.2 _ hk.1) #align is_primitive_root.unique IsPrimitiveRoot.unique theorem eq_orderOf : k = orderOf ζ := h.unique (IsPrimitiveRoot.orderOf ζ) #align is_primitive_root.eq_order_of IsPrimitiveRoot.eq_orderOf protected theorem iff (hk : 0 < k) : IsPrimitiveRoot ζ k ↔ ζ ^ k = 1 ∧ ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1 := by refine ⟨fun h => ⟨h.pow_eq_one, fun l hl' hl => ?_⟩, fun ⟨hζ, hl⟩ => IsPrimitiveRoot.mk_of_lt ζ hk hζ hl⟩ rw [h.eq_orderOf] at hl exact pow_ne_one_of_lt_orderOf' hl'.ne' hl #align is_primitive_root.iff IsPrimitiveRoot.iff protected theorem not_iff : ¬IsPrimitiveRoot ζ k ↔ orderOf ζ ≠ k := ⟨fun h hk => h <| hk ▸ IsPrimitiveRoot.orderOf ζ, fun h hk => h.symm <| hk.unique <| IsPrimitiveRoot.orderOf ζ⟩ #align is_primitive_root.not_iff IsPrimitiveRoot.not_iff theorem pow_mul_pow_lcm {ζ' : M} {k' : ℕ} (hζ : IsPrimitiveRoot ζ k) (hζ' : IsPrimitiveRoot ζ' k') (hk : k ≠ 0) (hk' : k' ≠ 0) : IsPrimitiveRoot (ζ ^ (k / Nat.factorizationLCMLeft k k') * ζ' ^ (k' / Nat.factorizationLCMRight k k')) (Nat.lcm k k') := by convert IsPrimitiveRoot.orderOf _ convert ((Commute.all ζ ζ').orderOf_mul_pow_eq_lcm (by simpa [← hζ.eq_orderOf]) (by simpa [← hζ'.eq_orderOf])).symm using 2 all_goals simp [hζ.eq_orderOf, hζ'.eq_orderOf] theorem pow_of_dvd (h : IsPrimitiveRoot ζ k) {p : ℕ} (hp : p ≠ 0) (hdiv : p ∣ k) : IsPrimitiveRoot (ζ ^ p) (k / p) := by suffices orderOf (ζ ^ p) = k / p by exact this ▸ IsPrimitiveRoot.orderOf (ζ ^ p) rw [orderOf_pow' _ hp, ← eq_orderOf h, Nat.gcd_eq_right hdiv] #align is_primitive_root.pow_of_dvd IsPrimitiveRoot.pow_of_dvd protected theorem mem_rootsOfUnity {ζ : Mˣ} {n : ℕ+} (h : IsPrimitiveRoot ζ n) : ζ ∈ rootsOfUnity n M := h.pow_eq_one #align is_primitive_root.mem_roots_of_unity IsPrimitiveRoot.mem_rootsOfUnity theorem pow {n : ℕ} {a b : ℕ} (hn : 0 < n) (h : IsPrimitiveRoot ζ n) (hprod : n = a * b) : IsPrimitiveRoot (ζ ^ a) b := by subst n simp only [iff_def, ← pow_mul, h.pow_eq_one, eq_self_iff_true, true_and_iff] intro l hl -- Porting note: was `by rintro rfl; simpa only [Nat.not_lt_zero, zero_mul] using hn` have ha0 : a ≠ 0 := left_ne_zero_of_mul hn.ne' rw [← mul_dvd_mul_iff_left ha0] exact h.dvd_of_pow_eq_one _ hl #align is_primitive_root.pow IsPrimitiveRoot.pow lemma injOn_pow {n : ℕ} {ζ : M} (hζ : IsPrimitiveRoot ζ n) : Set.InjOn (ζ ^ ·) (Finset.range n) := by obtain (rfl|hn) := n.eq_zero_or_pos; · simp intros i hi j hj e rw [Finset.coe_range, Set.mem_Iio] at hi hj have : (hζ.isUnit hn).unit ^ i = (hζ.isUnit hn).unit ^ j := Units.ext (by simpa using e) rw [pow_inj_mod, ← orderOf_injective ⟨⟨Units.val, Units.val_one⟩, Units.val_mul⟩ Units.ext (hζ.isUnit hn).unit] at this simpa [← hζ.eq_orderOf, Nat.mod_eq_of_lt, hi, hj] using this section IsDomain variable [CommRing R] variable {ζ : Rˣ} (h : IsPrimitiveRoot ζ k) theorem eq_neg_one_of_two_right [NoZeroDivisors R] {ζ : R} (h : IsPrimitiveRoot ζ 2) : ζ = -1 := by apply (eq_or_eq_neg_of_sq_eq_sq ζ 1 _).resolve_left · rw [← pow_one ζ]; apply h.pow_ne_one_of_pos_of_lt <;> decide · simp only [h.pow_eq_one, one_pow] #align is_primitive_root.eq_neg_one_of_two_right IsPrimitiveRoot.eq_neg_one_of_two_right theorem neg_one (p : ℕ) [Nontrivial R] [h : CharP R p] (hp : p ≠ 2) : IsPrimitiveRoot (-1 : R) 2 := by convert IsPrimitiveRoot.orderOf (-1 : R) rw [orderOf_neg_one, if_neg] rwa [ringChar.eq_iff.mpr h] #align is_primitive_root.neg_one IsPrimitiveRoot.neg_one
Mathlib/RingTheory/RootsOfUnity/Basic.lean
702
705
theorem geom_sum_eq_zero [IsDomain R] {ζ : R} (hζ : IsPrimitiveRoot ζ k) (hk : 1 < k) : ∑ i ∈ range k, ζ ^ i = 0 := by
refine eq_zero_of_ne_zero_of_mul_left_eq_zero (sub_ne_zero_of_ne (hζ.ne_one hk).symm) ?_ rw [mul_neg_geom_sum, hζ.pow_eq_one, sub_self]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Comp import Mathlib.Analysis.Calculus.FDeriv.RestrictScalars #align_import analysis.calculus.deriv.comp from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section Composition variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F] [IsScalarTower 𝕜 𝕜' F] {s' t' : Set 𝕜'} {h : 𝕜 → 𝕜'} {h₁ : 𝕜 → 𝕜} {h₂ : 𝕜' → 𝕜'} {h' h₂' : 𝕜'} {h₁' : 𝕜} {g₁ : 𝕜' → F} {g₁' : F} {L' : Filter 𝕜'} {y : 𝕜'} (x) theorem HasDerivAtFilter.scomp (hg : HasDerivAtFilter g₁ g₁' (h x) L') (hh : HasDerivAtFilter h h' x L) (hL : Tendsto h L L') : HasDerivAtFilter (g₁ ∘ h) (h' • g₁') x L := by simpa using ((hg.restrictScalars 𝕜).comp x hh hL).hasDerivAtFilter #align has_deriv_at_filter.scomp HasDerivAtFilter.scomp theorem HasDerivAtFilter.scomp_of_eq (hg : HasDerivAtFilter g₁ g₁' y L') (hh : HasDerivAtFilter h h' x L) (hy : y = h x) (hL : Tendsto h L L') : HasDerivAtFilter (g₁ ∘ h) (h' • g₁') x L := by rw [hy] at hg; exact hg.scomp x hh hL theorem HasDerivWithinAt.scomp_hasDerivAt (hg : HasDerivWithinAt g₁ g₁' s' (h x)) (hh : HasDerivAt h h' x) (hs : ∀ x, h x ∈ s') : HasDerivAt (g₁ ∘ h) (h' • g₁') x := hg.scomp x hh <| tendsto_inf.2 ⟨hh.continuousAt, tendsto_principal.2 <| eventually_of_forall hs⟩ #align has_deriv_within_at.scomp_has_deriv_at HasDerivWithinAt.scomp_hasDerivAt theorem HasDerivWithinAt.scomp_hasDerivAt_of_eq (hg : HasDerivWithinAt g₁ g₁' s' y) (hh : HasDerivAt h h' x) (hs : ∀ x, h x ∈ s') (hy : y = h x) : HasDerivAt (g₁ ∘ h) (h' • g₁') x := by rw [hy] at hg; exact hg.scomp_hasDerivAt x hh hs nonrec theorem HasDerivWithinAt.scomp (hg : HasDerivWithinAt g₁ g₁' t' (h x)) (hh : HasDerivWithinAt h h' s x) (hst : MapsTo h s t') : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := hg.scomp x hh <| hh.continuousWithinAt.tendsto_nhdsWithin hst #align has_deriv_within_at.scomp HasDerivWithinAt.scomp theorem HasDerivWithinAt.scomp_of_eq (hg : HasDerivWithinAt g₁ g₁' t' y) (hh : HasDerivWithinAt h h' s x) (hst : MapsTo h s t') (hy : y = h x) : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := by rw [hy] at hg; exact hg.scomp x hh hst nonrec theorem HasDerivAt.scomp (hg : HasDerivAt g₁ g₁' (h x)) (hh : HasDerivAt h h' x) : HasDerivAt (g₁ ∘ h) (h' • g₁') x := hg.scomp x hh hh.continuousAt #align has_deriv_at.scomp HasDerivAt.scomp theorem HasDerivAt.scomp_of_eq (hg : HasDerivAt g₁ g₁' y) (hh : HasDerivAt h h' x) (hy : y = h x) : HasDerivAt (g₁ ∘ h) (h' • g₁') x := by rw [hy] at hg; exact hg.scomp x hh theorem HasStrictDerivAt.scomp (hg : HasStrictDerivAt g₁ g₁' (h x)) (hh : HasStrictDerivAt h h' x) : HasStrictDerivAt (g₁ ∘ h) (h' • g₁') x := by simpa using ((hg.restrictScalars 𝕜).comp x hh).hasStrictDerivAt #align has_strict_deriv_at.scomp HasStrictDerivAt.scomp theorem HasStrictDerivAt.scomp_of_eq (hg : HasStrictDerivAt g₁ g₁' y) (hh : HasStrictDerivAt h h' x) (hy : y = h x) : HasStrictDerivAt (g₁ ∘ h) (h' • g₁') x := by rw [hy] at hg; exact hg.scomp x hh theorem HasDerivAt.scomp_hasDerivWithinAt (hg : HasDerivAt g₁ g₁' (h x)) (hh : HasDerivWithinAt h h' s x) : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := HasDerivWithinAt.scomp x hg.hasDerivWithinAt hh (mapsTo_univ _ _) #align has_deriv_at.scomp_has_deriv_within_at HasDerivAt.scomp_hasDerivWithinAt theorem HasDerivAt.scomp_hasDerivWithinAt_of_eq (hg : HasDerivAt g₁ g₁' y) (hh : HasDerivWithinAt h h' s x) (hy : y = h x) : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := by rw [hy] at hg; exact hg.scomp_hasDerivWithinAt x hh theorem derivWithin.scomp (hg : DifferentiableWithinAt 𝕜' g₁ t' (h x)) (hh : DifferentiableWithinAt 𝕜 h s x) (hs : MapsTo h s t') (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin (g₁ ∘ h) s x = derivWithin h s x • derivWithin g₁ t' (h x) := (HasDerivWithinAt.scomp x hg.hasDerivWithinAt hh.hasDerivWithinAt hs).derivWithin hxs #align deriv_within.scomp derivWithin.scomp theorem derivWithin.scomp_of_eq (hg : DifferentiableWithinAt 𝕜' g₁ t' y) (hh : DifferentiableWithinAt 𝕜 h s x) (hs : MapsTo h s t') (hxs : UniqueDiffWithinAt 𝕜 s x) (hy : y = h x) : derivWithin (g₁ ∘ h) s x = derivWithin h s x • derivWithin g₁ t' (h x) := by rw [hy] at hg; exact derivWithin.scomp x hg hh hs hxs theorem deriv.scomp (hg : DifferentiableAt 𝕜' g₁ (h x)) (hh : DifferentiableAt 𝕜 h x) : deriv (g₁ ∘ h) x = deriv h x • deriv g₁ (h x) := (HasDerivAt.scomp x hg.hasDerivAt hh.hasDerivAt).deriv #align deriv.scomp deriv.scomp theorem deriv.scomp_of_eq (hg : DifferentiableAt 𝕜' g₁ y) (hh : DifferentiableAt 𝕜 h x) (hy : y = h x) : deriv (g₁ ∘ h) x = deriv h x • deriv g₁ (h x) := by rw [hy] at hg; exact deriv.scomp x hg hh theorem HasDerivAtFilter.comp_hasFDerivAtFilter {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) {L'' : Filter E} (hh₂ : HasDerivAtFilter h₂ h₂' (f x) L') (hf : HasFDerivAtFilter f f' x L'') (hL : Tendsto f L'' L') : HasFDerivAtFilter (h₂ ∘ f) (h₂' • f') x L'' := by convert (hh₂.restrictScalars 𝕜).comp x hf hL ext x simp [mul_comm] #align has_deriv_at_filter.comp_has_fderiv_at_filter HasDerivAtFilter.comp_hasFDerivAtFilter theorem HasDerivAtFilter.comp_hasFDerivAtFilter_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) {L'' : Filter E} (hh₂ : HasDerivAtFilter h₂ h₂' y L') (hf : HasFDerivAtFilter f f' x L'') (hL : Tendsto f L'' L') (hy : y = f x) : HasFDerivAtFilter (h₂ ∘ f) (h₂' • f') x L'' := by rw [hy] at hh₂; exact hh₂.comp_hasFDerivAtFilter x hf hL theorem HasStrictDerivAt.comp_hasStrictFDerivAt {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasStrictDerivAt h₂ h₂' (f x)) (hf : HasStrictFDerivAt f f' x) : HasStrictFDerivAt (h₂ ∘ f) (h₂' • f') x := by rw [HasStrictDerivAt] at hh convert (hh.restrictScalars 𝕜).comp x hf ext x simp [mul_comm] #align has_strict_deriv_at.comp_has_strict_fderiv_at HasStrictDerivAt.comp_hasStrictFDerivAt theorem HasStrictDerivAt.comp_hasStrictFDerivAt_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasStrictDerivAt h₂ h₂' y) (hf : HasStrictFDerivAt f f' x) (hy : y = f x) : HasStrictFDerivAt (h₂ ∘ f) (h₂' • f') x := by rw [hy] at hh; exact hh.comp_hasStrictFDerivAt x hf theorem HasDerivAt.comp_hasFDerivAt {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasDerivAt h₂ h₂' (f x)) (hf : HasFDerivAt f f' x) : HasFDerivAt (h₂ ∘ f) (h₂' • f') x := hh.comp_hasFDerivAtFilter x hf hf.continuousAt #align has_deriv_at.comp_has_fderiv_at HasDerivAt.comp_hasFDerivAt
Mathlib/Analysis/Calculus/Deriv/Comp.lean
195
198
theorem HasDerivAt.comp_hasFDerivAt_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasDerivAt h₂ h₂' y) (hf : HasFDerivAt f f' x) (hy : y = f x) : HasFDerivAt (h₂ ∘ f) (h₂' • f') x := by
rw [hy] at hh; exact hh.comp_hasFDerivAt x hf
import Mathlib.Data.List.Basic open Function open Nat hiding one_pos assert_not_exists Set.range namespace List universe u v w variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α} section InsertNth variable {a : α} @[simp] theorem insertNth_zero (s : List α) (x : α) : insertNth 0 x s = x :: s := rfl #align list.insert_nth_zero List.insertNth_zero @[simp] theorem insertNth_succ_nil (n : ℕ) (a : α) : insertNth (n + 1) a [] = [] := rfl #align list.insert_nth_succ_nil List.insertNth_succ_nil @[simp] theorem insertNth_succ_cons (s : List α) (hd x : α) (n : ℕ) : insertNth (n + 1) x (hd :: s) = hd :: insertNth n x s := rfl #align list.insert_nth_succ_cons List.insertNth_succ_cons theorem length_insertNth : ∀ n as, n ≤ length as → length (insertNth n a as) = length as + 1 | 0, _, _ => rfl | _ + 1, [], h => (Nat.not_succ_le_zero _ h).elim | n + 1, _ :: as, h => congr_arg Nat.succ <| length_insertNth n as (Nat.le_of_succ_le_succ h) #align list.length_insert_nth List.length_insertNth theorem eraseIdx_insertNth (n : ℕ) (l : List α) : (l.insertNth n a).eraseIdx n = l := by rw [eraseIdx_eq_modifyNthTail, insertNth, modifyNthTail_modifyNthTail_same] exact modifyNthTail_id _ _ #align list.remove_nth_insert_nth List.eraseIdx_insertNth @[deprecated (since := "2024-05-04")] alias removeNth_insertNth := eraseIdx_insertNth theorem insertNth_eraseIdx_of_ge : ∀ n m as, n < length as → n ≤ m → insertNth m a (as.eraseIdx n) = (as.insertNth (m + 1) a).eraseIdx n | 0, 0, [], has, _ => (lt_irrefl _ has).elim | 0, 0, _ :: as, _, _ => by simp [eraseIdx, insertNth] | 0, m + 1, a :: as, _, _ => rfl | n + 1, m + 1, a :: as, has, hmn => congr_arg (cons a) <| insertNth_eraseIdx_of_ge n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn) #align list.insert_nth_remove_nth_of_ge List.insertNth_eraseIdx_of_ge @[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_ge := insertNth_eraseIdx_of_ge theorem insertNth_eraseIdx_of_le : ∀ n m as, n < length as → m ≤ n → insertNth m a (as.eraseIdx n) = (as.insertNth m a).eraseIdx (n + 1) | _, 0, _ :: _, _, _ => rfl | n + 1, m + 1, a :: as, has, hmn => congr_arg (cons a) <| insertNth_eraseIdx_of_le n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn) #align list.insert_nth_remove_nth_of_le List.insertNth_eraseIdx_of_le @[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_le := insertNth_eraseIdx_of_le theorem insertNth_comm (a b : α) : ∀ (i j : ℕ) (l : List α) (_ : i ≤ j) (_ : j ≤ length l), (l.insertNth i a).insertNth (j + 1) b = (l.insertNth j b).insertNth i a | 0, j, l => by simp [insertNth] | i + 1, 0, l => fun h => (Nat.not_lt_zero _ h).elim | i + 1, j + 1, [] => by simp | i + 1, j + 1, c :: l => fun h₀ h₁ => by simp only [insertNth_succ_cons, cons.injEq, true_and] exact insertNth_comm a b i j l (Nat.le_of_succ_le_succ h₀) (Nat.le_of_succ_le_succ h₁) #align list.insert_nth_comm List.insertNth_comm theorem mem_insertNth {a b : α} : ∀ {n : ℕ} {l : List α} (_ : n ≤ l.length), a ∈ l.insertNth n b ↔ a = b ∨ a ∈ l | 0, as, _ => by simp | n + 1, [], h => (Nat.not_succ_le_zero _ h).elim | n + 1, a' :: as, h => by rw [List.insertNth_succ_cons, mem_cons, mem_insertNth (Nat.le_of_succ_le_succ h), ← or_assoc, @or_comm (a = a'), or_assoc, mem_cons] #align list.mem_insert_nth List.mem_insertNth theorem insertNth_of_length_lt (l : List α) (x : α) (n : ℕ) (h : l.length < n) : insertNth n x l = l := by induction' l with hd tl IH generalizing n · cases n · simp at h · simp · cases n · simp at h · simp only [Nat.succ_lt_succ_iff, length] at h simpa using IH _ h #align list.insert_nth_of_length_lt List.insertNth_of_length_lt @[simp]
Mathlib/Data/List/InsertNth.lean
116
119
theorem insertNth_length_self (l : List α) (x : α) : insertNth l.length x l = l ++ [x] := by
induction' l with hd tl IH · simp · simpa using IH
import Mathlib.Data.Set.Function import Mathlib.Logic.Equiv.Defs import Mathlib.Tactic.Says #align_import logic.equiv.set from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9" open Function Set universe u v w z variable {α : Sort u} {β : Sort v} {γ : Sort w} namespace Equiv @[simp] theorem range_eq_univ {α : Type*} {β : Type*} (e : α ≃ β) : range e = univ := eq_univ_of_forall e.surjective #align equiv.range_eq_univ Equiv.range_eq_univ protected theorem image_eq_preimage {α β} (e : α ≃ β) (s : Set α) : e '' s = e.symm ⁻¹' s := Set.ext fun _ => mem_image_iff_of_inverse e.left_inv e.right_inv #align equiv.image_eq_preimage Equiv.image_eq_preimage @[simp 1001] theorem _root_.Set.mem_image_equiv {α β} {S : Set α} {f : α ≃ β} {x : β} : x ∈ f '' S ↔ f.symm x ∈ S := Set.ext_iff.mp (f.image_eq_preimage S) x #align set.mem_image_equiv Set.mem_image_equiv theorem _root_.Set.image_equiv_eq_preimage_symm {α β} (S : Set α) (f : α ≃ β) : f '' S = f.symm ⁻¹' S := f.image_eq_preimage S #align set.image_equiv_eq_preimage_symm Set.image_equiv_eq_preimage_symm theorem _root_.Set.preimage_equiv_eq_image_symm {α β} (S : Set α) (f : β ≃ α) : f ⁻¹' S = f.symm '' S := (f.symm.image_eq_preimage S).symm #align set.preimage_equiv_eq_image_symm Set.preimage_equiv_eq_image_symm -- Porting note: increased priority so this fires before `image_subset_iff` @[simp high] protected theorem symm_image_subset {α β} (e : α ≃ β) (s : Set α) (t : Set β) : e.symm '' t ⊆ s ↔ t ⊆ e '' s := by rw [image_subset_iff, e.image_eq_preimage] #align equiv.subset_image Equiv.symm_image_subset @[deprecated (since := "2024-01-19")] alias subset_image := Equiv.symm_image_subset -- Porting note: increased priority so this fires before `image_subset_iff` @[simp high] protected theorem subset_symm_image {α β} (e : α ≃ β) (s : Set α) (t : Set β) : s ⊆ e.symm '' t ↔ e '' s ⊆ t := calc s ⊆ e.symm '' t ↔ e.symm.symm '' s ⊆ t := by rw [e.symm.symm_image_subset] _ ↔ e '' s ⊆ t := by rw [e.symm_symm] #align equiv.subset_image' Equiv.subset_symm_image @[deprecated (since := "2024-01-19")] alias subset_image' := Equiv.subset_symm_image @[simp] theorem symm_image_image {α β} (e : α ≃ β) (s : Set α) : e.symm '' (e '' s) = s := e.leftInverse_symm.image_image s #align equiv.symm_image_image Equiv.symm_image_image theorem eq_image_iff_symm_image_eq {α β} (e : α ≃ β) (s : Set α) (t : Set β) : t = e '' s ↔ e.symm '' t = s := (e.symm.injective.image_injective.eq_iff' (e.symm_image_image s)).symm #align equiv.eq_image_iff_symm_image_eq Equiv.eq_image_iff_symm_image_eq @[simp] theorem image_symm_image {α β} (e : α ≃ β) (s : Set β) : e '' (e.symm '' s) = s := e.symm.symm_image_image s #align equiv.image_symm_image Equiv.image_symm_image @[simp] theorem image_preimage {α β} (e : α ≃ β) (s : Set β) : e '' (e ⁻¹' s) = s := e.surjective.image_preimage s #align equiv.image_preimage Equiv.image_preimage @[simp] theorem preimage_image {α β} (e : α ≃ β) (s : Set α) : e ⁻¹' (e '' s) = s := e.injective.preimage_image s #align equiv.preimage_image Equiv.preimage_image protected theorem image_compl {α β} (f : Equiv α β) (s : Set α) : f '' sᶜ = (f '' s)ᶜ := image_compl_eq f.bijective #align equiv.image_compl Equiv.image_compl @[simp] theorem symm_preimage_preimage {α β} (e : α ≃ β) (s : Set β) : e.symm ⁻¹' (e ⁻¹' s) = s := e.rightInverse_symm.preimage_preimage s #align equiv.symm_preimage_preimage Equiv.symm_preimage_preimage @[simp] theorem preimage_symm_preimage {α β} (e : α ≃ β) (s : Set α) : e ⁻¹' (e.symm ⁻¹' s) = s := e.leftInverse_symm.preimage_preimage s #align equiv.preimage_symm_preimage Equiv.preimage_symm_preimage theorem preimage_subset {α β} (e : α ≃ β) (s t : Set β) : e ⁻¹' s ⊆ e ⁻¹' t ↔ s ⊆ t := e.surjective.preimage_subset_preimage_iff #align equiv.preimage_subset Equiv.preimage_subset -- Porting note (#10618): removed `simp` attribute. `simp` can prove it. theorem image_subset {α β} (e : α ≃ β) (s t : Set α) : e '' s ⊆ e '' t ↔ s ⊆ t := image_subset_image_iff e.injective #align equiv.image_subset Equiv.image_subset @[simp] theorem image_eq_iff_eq {α β} (e : α ≃ β) (s t : Set α) : e '' s = e '' t ↔ s = t := image_eq_image e.injective #align equiv.image_eq_iff_eq Equiv.image_eq_iff_eq theorem preimage_eq_iff_eq_image {α β} (e : α ≃ β) (s t) : e ⁻¹' s = t ↔ s = e '' t := Set.preimage_eq_iff_eq_image e.bijective #align equiv.preimage_eq_iff_eq_image Equiv.preimage_eq_iff_eq_image theorem eq_preimage_iff_image_eq {α β} (e : α ≃ β) (s t) : s = e ⁻¹' t ↔ e '' s = t := Set.eq_preimage_iff_image_eq e.bijective #align equiv.eq_preimage_iff_image_eq Equiv.eq_preimage_iff_image_eq lemma setOf_apply_symm_eq_image_setOf {α β} (e : α ≃ β) (p : α → Prop) : {b | p (e.symm b)} = e '' {a | p a} := by rw [Equiv.image_eq_preimage, preimage_setOf_eq] @[simp] theorem prod_assoc_preimage {α β γ} {s : Set α} {t : Set β} {u : Set γ} : Equiv.prodAssoc α β γ ⁻¹' s ×ˢ t ×ˢ u = (s ×ˢ t) ×ˢ u := by ext simp [and_assoc] #align equiv.prod_assoc_preimage Equiv.prod_assoc_preimage @[simp] theorem prod_assoc_symm_preimage {α β γ} {s : Set α} {t : Set β} {u : Set γ} : (Equiv.prodAssoc α β γ).symm ⁻¹' (s ×ˢ t) ×ˢ u = s ×ˢ t ×ˢ u := by ext simp [and_assoc] #align equiv.prod_assoc_symm_preimage Equiv.prod_assoc_symm_preimage -- `@[simp]` doesn't like these lemmas, as it uses `Set.image_congr'` to turn `Equiv.prodAssoc` -- into a lambda expression and then unfold it. theorem prod_assoc_image {α β γ} {s : Set α} {t : Set β} {u : Set γ} : Equiv.prodAssoc α β γ '' (s ×ˢ t) ×ˢ u = s ×ˢ t ×ˢ u := by simpa only [Equiv.image_eq_preimage] using prod_assoc_symm_preimage #align equiv.prod_assoc_image Equiv.prod_assoc_image theorem prod_assoc_symm_image {α β γ} {s : Set α} {t : Set β} {u : Set γ} : (Equiv.prodAssoc α β γ).symm '' s ×ˢ t ×ˢ u = (s ×ˢ t) ×ˢ u := by simpa only [Equiv.image_eq_preimage] using prod_assoc_preimage #align equiv.prod_assoc_symm_image Equiv.prod_assoc_symm_image def setProdEquivSigma {α β : Type*} (s : Set (α × β)) : s ≃ Σx : α, { y : β | (x, y) ∈ s } where toFun x := ⟨x.1.1, x.1.2, by simp⟩ invFun x := ⟨(x.1, x.2.1), x.2.2⟩ left_inv := fun ⟨⟨x, y⟩, h⟩ => rfl right_inv := fun ⟨x, y, h⟩ => rfl #align equiv.set_prod_equiv_sigma Equiv.setProdEquivSigma @[simps! apply] def setCongr {α : Type*} {s t : Set α} (h : s = t) : s ≃ t := subtypeEquivProp h #align equiv.set_congr Equiv.setCongr #align equiv.set_congr_apply Equiv.setCongr_apply -- We could construct this using `Equiv.Set.image e s e.injective`, -- but this definition provides an explicit inverse. @[simps] def image {α β : Type*} (e : α ≃ β) (s : Set α) : s ≃ e '' s where toFun x := ⟨e x.1, by simp⟩ invFun y := ⟨e.symm y.1, by rcases y with ⟨-, ⟨a, ⟨m, rfl⟩⟩⟩ simpa using m⟩ left_inv x := by simp right_inv y := by simp #align equiv.image Equiv.image #align equiv.image_symm_apply_coe Equiv.image_symm_apply_coe #align equiv.image_apply_coe Equiv.image_apply_coe namespace Set -- Porting note: Removed attribute @[simps apply symm_apply] protected def univ (α) : @univ α ≃ α := ⟨Subtype.val, fun a => ⟨a, trivial⟩, fun ⟨_, _⟩ => rfl, fun _ => rfl⟩ #align equiv.set.univ Equiv.Set.univ protected def empty (α) : (∅ : Set α) ≃ Empty := equivEmpty _ #align equiv.set.empty Equiv.Set.empty protected def pempty (α) : (∅ : Set α) ≃ PEmpty := equivPEmpty _ #align equiv.set.pempty Equiv.Set.pempty protected def union' {α} {s t : Set α} (p : α → Prop) [DecidablePred p] (hs : ∀ x ∈ s, p x) (ht : ∀ x ∈ t, ¬p x) : (s ∪ t : Set α) ≃ s ⊕ t where toFun x := if hp : p x then Sum.inl ⟨_, x.2.resolve_right fun xt => ht _ xt hp⟩ else Sum.inr ⟨_, x.2.resolve_left fun xs => hp (hs _ xs)⟩ invFun o := match o with | Sum.inl x => ⟨x, Or.inl x.2⟩ | Sum.inr x => ⟨x, Or.inr x.2⟩ left_inv := fun ⟨x, h'⟩ => by by_cases h : p x <;> simp [h] right_inv o := by rcases o with (⟨x, h⟩ | ⟨x, h⟩) <;> [simp [hs _ h]; simp [ht _ h]] #align equiv.set.union' Equiv.Set.union' protected def union {α} {s t : Set α} [DecidablePred fun x => x ∈ s] (H : s ∩ t ⊆ ∅) : (s ∪ t : Set α) ≃ s ⊕ t := Set.union' (fun x => x ∈ s) (fun _ => id) fun _ xt xs => H ⟨xs, xt⟩ #align equiv.set.union Equiv.Set.union theorem union_apply_left {α} {s t : Set α} [DecidablePred fun x => x ∈ s] (H : s ∩ t ⊆ ∅) {a : (s ∪ t : Set α)} (ha : ↑a ∈ s) : Equiv.Set.union H a = Sum.inl ⟨a, ha⟩ := dif_pos ha #align equiv.set.union_apply_left Equiv.Set.union_apply_left theorem union_apply_right {α} {s t : Set α} [DecidablePred fun x => x ∈ s] (H : s ∩ t ⊆ ∅) {a : (s ∪ t : Set α)} (ha : ↑a ∈ t) : Equiv.Set.union H a = Sum.inr ⟨a, ha⟩ := dif_neg fun h => H ⟨h, ha⟩ #align equiv.set.union_apply_right Equiv.Set.union_apply_right @[simp] theorem union_symm_apply_left {α} {s t : Set α} [DecidablePred fun x => x ∈ s] (H : s ∩ t ⊆ ∅) (a : s) : (Equiv.Set.union H).symm (Sum.inl a) = ⟨a, by simp⟩ := rfl #align equiv.set.union_symm_apply_left Equiv.Set.union_symm_apply_left @[simp] theorem union_symm_apply_right {α} {s t : Set α} [DecidablePred fun x => x ∈ s] (H : s ∩ t ⊆ ∅) (a : t) : (Equiv.Set.union H).symm (Sum.inr a) = ⟨a, by simp⟩ := rfl #align equiv.set.union_symm_apply_right Equiv.Set.union_symm_apply_right protected def singleton {α} (a : α) : ({a} : Set α) ≃ PUnit.{u} := ⟨fun _ => PUnit.unit, fun _ => ⟨a, mem_singleton _⟩, fun ⟨x, h⟩ => by simp? at h says simp only [mem_singleton_iff] at h subst x rfl, fun ⟨⟩ => rfl⟩ #align equiv.set.singleton Equiv.Set.singleton @[simps! apply symm_apply] protected def ofEq {α : Type u} {s t : Set α} (h : s = t) : s ≃ t := Equiv.setCongr h #align equiv.set.of_eq Equiv.Set.ofEq protected def insert {α} {s : Set.{u} α} [DecidablePred (· ∈ s)] {a : α} (H : a ∉ s) : (insert a s : Set α) ≃ Sum s PUnit.{u + 1} := calc (insert a s : Set α) ≃ ↥(s ∪ {a}) := Equiv.Set.ofEq (by simp) _ ≃ Sum s ({a} : Set α) := Equiv.Set.union fun x ⟨hx, _⟩ => by simp_all _ ≃ Sum s PUnit.{u + 1} := sumCongr (Equiv.refl _) (Equiv.Set.singleton _) #align equiv.set.insert Equiv.Set.insert @[simp] theorem insert_symm_apply_inl {α} {s : Set.{u} α} [DecidablePred (· ∈ s)] {a : α} (H : a ∉ s) (b : s) : (Equiv.Set.insert H).symm (Sum.inl b) = ⟨b, Or.inr b.2⟩ := rfl #align equiv.set.insert_symm_apply_inl Equiv.Set.insert_symm_apply_inl @[simp] theorem insert_symm_apply_inr {α} {s : Set.{u} α} [DecidablePred (· ∈ s)] {a : α} (H : a ∉ s) (b : PUnit.{u + 1}) : (Equiv.Set.insert H).symm (Sum.inr b) = ⟨a, Or.inl rfl⟩ := rfl #align equiv.set.insert_symm_apply_inr Equiv.Set.insert_symm_apply_inr @[simp] theorem insert_apply_left {α} {s : Set.{u} α} [DecidablePred (· ∈ s)] {a : α} (H : a ∉ s) : Equiv.Set.insert H ⟨a, Or.inl rfl⟩ = Sum.inr PUnit.unit := (Equiv.Set.insert H).apply_eq_iff_eq_symm_apply.2 rfl #align equiv.set.insert_apply_left Equiv.Set.insert_apply_left @[simp] theorem insert_apply_right {α} {s : Set.{u} α} [DecidablePred (· ∈ s)] {a : α} (H : a ∉ s) (b : s) : Equiv.Set.insert H ⟨b, Or.inr b.2⟩ = Sum.inl b := (Equiv.Set.insert H).apply_eq_iff_eq_symm_apply.2 rfl #align equiv.set.insert_apply_right Equiv.Set.insert_apply_right protected def sumCompl {α} (s : Set α) [DecidablePred (· ∈ s)] : Sum s (sᶜ : Set α) ≃ α := calc Sum s (sᶜ : Set α) ≃ ↥(s ∪ sᶜ) := (Equiv.Set.union (by simp [Set.ext_iff])).symm _ ≃ @univ α := Equiv.Set.ofEq (by simp) _ ≃ α := Equiv.Set.univ _ #align equiv.set.sum_compl Equiv.Set.sumCompl @[simp] theorem sumCompl_apply_inl {α : Type u} (s : Set α) [DecidablePred (· ∈ s)] (x : s) : Equiv.Set.sumCompl s (Sum.inl x) = x := rfl #align equiv.set.sum_compl_apply_inl Equiv.Set.sumCompl_apply_inl @[simp] theorem sumCompl_apply_inr {α : Type u} (s : Set α) [DecidablePred (· ∈ s)] (x : (sᶜ : Set α)) : Equiv.Set.sumCompl s (Sum.inr x) = x := rfl #align equiv.set.sum_compl_apply_inr Equiv.Set.sumCompl_apply_inr theorem sumCompl_symm_apply_of_mem {α : Type u} {s : Set α} [DecidablePred (· ∈ s)] {x : α} (hx : x ∈ s) : (Equiv.Set.sumCompl s).symm x = Sum.inl ⟨x, hx⟩ := by have : ((⟨x, Or.inl hx⟩ : (s ∪ sᶜ : Set α)) : α) ∈ s := hx rw [Equiv.Set.sumCompl] simpa using Set.union_apply_left (by simp) this #align equiv.set.sum_compl_symm_apply_of_mem Equiv.Set.sumCompl_symm_apply_of_mem theorem sumCompl_symm_apply_of_not_mem {α : Type u} {s : Set α} [DecidablePred (· ∈ s)] {x : α} (hx : x ∉ s) : (Equiv.Set.sumCompl s).symm x = Sum.inr ⟨x, hx⟩ := by have : ((⟨x, Or.inr hx⟩ : (s ∪ sᶜ : Set α)) : α) ∈ sᶜ := hx rw [Equiv.Set.sumCompl] simpa using Set.union_apply_right (by simp) this #align equiv.set.sum_compl_symm_apply_of_not_mem Equiv.Set.sumCompl_symm_apply_of_not_mem @[simp] theorem sumCompl_symm_apply {α : Type*} {s : Set α} [DecidablePred (· ∈ s)] {x : s} : (Equiv.Set.sumCompl s).symm x = Sum.inl x := by cases' x with x hx; exact Set.sumCompl_symm_apply_of_mem hx #align equiv.set.sum_compl_symm_apply Equiv.Set.sumCompl_symm_apply @[simp]
Mathlib/Logic/Equiv/Set.lean
359
361
theorem sumCompl_symm_apply_compl {α : Type*} {s : Set α} [DecidablePred (· ∈ s)] {x : (sᶜ : Set α)} : (Equiv.Set.sumCompl s).symm x = Sum.inr x := by
cases' x with x hx; exact Set.sumCompl_symm_apply_of_not_mem hx
import Mathlib.GroupTheory.Solvable import Mathlib.FieldTheory.PolynomialGaloisGroup import Mathlib.RingTheory.RootsOfUnity.Basic #align_import field_theory.abel_ruffini from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" noncomputable section open scoped Classical Polynomial IntermediateField open Polynomial IntermediateField section AbelRuffini variable {F : Type*} [Field F] {E : Type*} [Field E] [Algebra F E] theorem gal_zero_isSolvable : IsSolvable (0 : F[X]).Gal := by infer_instance #align gal_zero_is_solvable gal_zero_isSolvable theorem gal_one_isSolvable : IsSolvable (1 : F[X]).Gal := by infer_instance #align gal_one_is_solvable gal_one_isSolvable theorem gal_C_isSolvable (x : F) : IsSolvable (C x).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_C_is_solvable gal_C_isSolvable theorem gal_X_isSolvable : IsSolvable (X : F[X]).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_is_solvable gal_X_isSolvable theorem gal_X_sub_C_isSolvable (x : F) : IsSolvable (X - C x).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_sub_C_is_solvable gal_X_sub_C_isSolvable theorem gal_X_pow_isSolvable (n : ℕ) : IsSolvable (X ^ n : F[X]).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_pow_is_solvable gal_X_pow_isSolvable theorem gal_mul_isSolvable {p q : F[X]} (_ : IsSolvable p.Gal) (_ : IsSolvable q.Gal) : IsSolvable (p * q).Gal := solvable_of_solvable_injective (Gal.restrictProd_injective p q) #align gal_mul_is_solvable gal_mul_isSolvable theorem gal_prod_isSolvable {s : Multiset F[X]} (hs : ∀ p ∈ s, IsSolvable (Gal p)) : IsSolvable s.prod.Gal := by apply Multiset.induction_on' s · exact gal_one_isSolvable · intro p t hps _ ht rw [Multiset.insert_eq_cons, Multiset.prod_cons] exact gal_mul_isSolvable (hs p hps) ht #align gal_prod_is_solvable gal_prod_isSolvable theorem gal_isSolvable_of_splits {p q : F[X]} (_ : Fact (p.Splits (algebraMap F q.SplittingField))) (hq : IsSolvable q.Gal) : IsSolvable p.Gal := haveI : IsSolvable (q.SplittingField ≃ₐ[F] q.SplittingField) := hq solvable_of_surjective (AlgEquiv.restrictNormalHom_surjective q.SplittingField) #align gal_is_solvable_of_splits gal_isSolvable_of_splits theorem gal_isSolvable_tower (p q : F[X]) (hpq : p.Splits (algebraMap F q.SplittingField)) (hp : IsSolvable p.Gal) (hq : IsSolvable (q.map (algebraMap F p.SplittingField)).Gal) : IsSolvable q.Gal := by let K := p.SplittingField let L := q.SplittingField haveI : Fact (p.Splits (algebraMap F L)) := ⟨hpq⟩ let ϕ : (L ≃ₐ[K] L) ≃* (q.map (algebraMap F K)).Gal := (IsSplittingField.algEquiv L (q.map (algebraMap F K))).autCongr have ϕ_inj : Function.Injective ϕ.toMonoidHom := ϕ.injective haveI : IsSolvable (K ≃ₐ[F] K) := hp haveI : IsSolvable (L ≃ₐ[K] L) := solvable_of_solvable_injective ϕ_inj exact isSolvable_of_isScalarTower F p.SplittingField q.SplittingField #align gal_is_solvable_tower gal_isSolvable_tower section GalXPowSubC theorem gal_X_pow_sub_one_isSolvable (n : ℕ) : IsSolvable (X ^ n - 1 : F[X]).Gal := by by_cases hn : n = 0 · rw [hn, pow_zero, sub_self] exact gal_zero_isSolvable have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : (X ^ n - 1 : F[X]) ≠ 0 := X_pow_sub_C_ne_zero hn' 1 apply isSolvable_of_comm intro σ τ ext a ha simp only [mem_rootSet_of_ne hn'', map_sub, aeval_X_pow, aeval_one, sub_eq_zero] at ha have key : ∀ σ : (X ^ n - 1 : F[X]).Gal, ∃ m : ℕ, σ a = a ^ m := by intro σ lift n to ℕ+ using hn' exact map_rootsOfUnity_eq_pow_self σ.toAlgHom (rootsOfUnity.mkOfPowEq a ha) obtain ⟨c, hc⟩ := key σ obtain ⟨d, hd⟩ := key τ rw [σ.mul_apply, τ.mul_apply, hc, τ.map_pow, hd, σ.map_pow, hc, ← pow_mul, pow_mul'] set_option linter.uppercaseLean3 false in #align gal_X_pow_sub_one_is_solvable gal_X_pow_sub_one_isSolvable theorem gal_X_pow_sub_C_isSolvable_aux (n : ℕ) (a : F) (h : (X ^ n - 1 : F[X]).Splits (RingHom.id F)) : IsSolvable (X ^ n - C a).Gal := by by_cases ha : a = 0 · rw [ha, C_0, sub_zero] exact gal_X_pow_isSolvable n have ha' : algebraMap F (X ^ n - C a).SplittingField a ≠ 0 := mt ((injective_iff_map_eq_zero _).mp (RingHom.injective _) a) ha by_cases hn : n = 0 · rw [hn, pow_zero, ← C_1, ← C_sub] exact gal_C_isSolvable (1 - a) have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : X ^ n - C a ≠ 0 := X_pow_sub_C_ne_zero hn' a have hn''' : (X ^ n - 1 : F[X]) ≠ 0 := X_pow_sub_C_ne_zero hn' 1 have mem_range : ∀ {c : (X ^ n - C a).SplittingField}, (c ^ n = 1 → (∃ d, algebraMap F (X ^ n - C a).SplittingField d = c)) := fun {c} hc => RingHom.mem_range.mp (minpoly.mem_range_of_degree_eq_one F c (h.def.resolve_left hn''' (minpoly.irreducible ((SplittingField.instNormal (X ^ n - C a)).isIntegral c)) (minpoly.dvd F c (by rwa [map_id, AlgHom.map_sub, sub_eq_zero, aeval_X_pow, aeval_one])))) apply isSolvable_of_comm intro σ τ ext b hb rw [mem_rootSet_of_ne hn'', map_sub, aeval_X_pow, aeval_C, sub_eq_zero] at hb have hb' : b ≠ 0 := by intro hb' rw [hb', zero_pow hn] at hb exact ha' hb.symm have key : ∀ σ : (X ^ n - C a).Gal, ∃ c, σ b = b * algebraMap F _ c := by intro σ have key : (σ b / b) ^ n = 1 := by rw [div_pow, ← σ.map_pow, hb, σ.commutes, div_self ha'] obtain ⟨c, hc⟩ := mem_range key use c rw [hc, mul_div_cancel₀ (σ b) hb'] obtain ⟨c, hc⟩ := key σ obtain ⟨d, hd⟩ := key τ rw [σ.mul_apply, τ.mul_apply, hc, τ.map_mul, τ.commutes, hd, σ.map_mul, σ.commutes, hc, mul_assoc, mul_assoc, mul_right_inj' hb', mul_comm] set_option linter.uppercaseLean3 false in #align gal_X_pow_sub_C_is_solvable_aux gal_X_pow_sub_C_isSolvable_aux theorem splits_X_pow_sub_one_of_X_pow_sub_C {F : Type*} [Field F] {E : Type*} [Field E] (i : F →+* E) (n : ℕ) {a : F} (ha : a ≠ 0) (h : (X ^ n - C a).Splits i) : (X ^ n - 1 : F[X]).Splits i := by have ha' : i a ≠ 0 := mt ((injective_iff_map_eq_zero i).mp i.injective a) ha by_cases hn : n = 0 · rw [hn, pow_zero, sub_self] exact splits_zero i have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : (X ^ n - C a).degree ≠ 0 := ne_of_eq_of_ne (degree_X_pow_sub_C hn' a) (mt WithBot.coe_eq_coe.mp hn) obtain ⟨b, hb⟩ := exists_root_of_splits i h hn'' rw [eval₂_sub, eval₂_X_pow, eval₂_C, sub_eq_zero] at hb have hb' : b ≠ 0 := by intro hb' rw [hb', zero_pow hn] at hb exact ha' hb.symm let s := ((X ^ n - C a).map i).roots have hs : _ = _ * (s.map _).prod := eq_prod_roots_of_splits h rw [leadingCoeff_X_pow_sub_C hn', RingHom.map_one, C_1, one_mul] at hs have hs' : Multiset.card s = n := (natDegree_eq_card_roots h).symm.trans natDegree_X_pow_sub_C apply @splits_of_exists_multiset F E _ _ i (X ^ n - 1) (s.map fun c : E => c / b) rw [leadingCoeff_X_pow_sub_one hn', RingHom.map_one, C_1, one_mul, Multiset.map_map] have C_mul_C : C (i a⁻¹) * C (i a) = 1 := by rw [← C_mul, ← i.map_mul, inv_mul_cancel ha, i.map_one, C_1] have key1 : (X ^ n - 1 : F[X]).map i = C (i a⁻¹) * ((X ^ n - C a).map i).comp (C b * X) := by rw [Polynomial.map_sub, Polynomial.map_sub, Polynomial.map_pow, map_X, map_C, Polynomial.map_one, sub_comp, pow_comp, X_comp, C_comp, mul_pow, ← C_pow, hb, mul_sub, ← mul_assoc, C_mul_C, one_mul] have key2 : ((fun q : E[X] => q.comp (C b * X)) ∘ fun c : E => X - C c) = fun c : E => C b * (X - C (c / b)) := by ext1 c dsimp only [Function.comp_apply] rw [sub_comp, X_comp, C_comp, mul_sub, ← C_mul, mul_div_cancel₀ c hb'] rw [key1, hs, multiset_prod_comp, Multiset.map_map, key2, Multiset.prod_map_mul, -- Porting note: needed for `Multiset.map_const` to work show (fun (_ : E) => C b) = Function.const E (C b) by rfl, Multiset.map_const, Multiset.prod_replicate, hs', ← C_pow, hb, ← mul_assoc, C_mul_C, one_mul] rfl set_option linter.uppercaseLean3 false in #align splits_X_pow_sub_one_of_X_pow_sub_C splits_X_pow_sub_one_of_X_pow_sub_C
Mathlib/FieldTheory/AbelRuffini.lean
198
209
theorem gal_X_pow_sub_C_isSolvable (n : ℕ) (x : F) : IsSolvable (X ^ n - C x).Gal := by
by_cases hx : x = 0 · rw [hx, C_0, sub_zero] exact gal_X_pow_isSolvable n apply gal_isSolvable_tower (X ^ n - 1) (X ^ n - C x) · exact splits_X_pow_sub_one_of_X_pow_sub_C _ n hx (SplittingField.splits _) · exact gal_X_pow_sub_one_isSolvable n · rw [Polynomial.map_sub, Polynomial.map_pow, map_X, map_C] apply gal_X_pow_sub_C_isSolvable_aux have key := SplittingField.splits (X ^ n - 1 : F[X]) rwa [← splits_id_iff_splits, Polynomial.map_sub, Polynomial.map_pow, map_X, Polynomial.map_one] at key
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Analysis.SpecialFunctions.Sqrt import Mathlib.Analysis.NormedSpace.HomeomorphBall #align_import analysis.inner_product_space.calculus from "leanprover-community/mathlib"@"f9dd3204df14a0749cd456fac1e6849dfe7d2b88" noncomputable section open RCLike Real Filter open scoped Classical Topology section PiLike open ContinuousLinearMap variable {𝕜 ι H : Type*} [RCLike 𝕜] [NormedAddCommGroup H] [NormedSpace 𝕜 H] [Fintype ι] {f : H → EuclideanSpace 𝕜 ι} {f' : H →L[𝕜] EuclideanSpace 𝕜 ι} {t : Set H} {y : H} theorem differentiableWithinAt_euclidean : DifferentiableWithinAt 𝕜 f t y ↔ ∀ i, DifferentiableWithinAt 𝕜 (fun x => f x i) t y := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiableWithinAt_iff, differentiableWithinAt_pi] rfl #align differentiable_within_at_euclidean differentiableWithinAt_euclidean theorem differentiableAt_euclidean : DifferentiableAt 𝕜 f y ↔ ∀ i, DifferentiableAt 𝕜 (fun x => f x i) y := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiableAt_iff, differentiableAt_pi] rfl #align differentiable_at_euclidean differentiableAt_euclidean theorem differentiableOn_euclidean : DifferentiableOn 𝕜 f t ↔ ∀ i, DifferentiableOn 𝕜 (fun x => f x i) t := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiableOn_iff, differentiableOn_pi] rfl #align differentiable_on_euclidean differentiableOn_euclidean theorem differentiable_euclidean : Differentiable 𝕜 f ↔ ∀ i, Differentiable 𝕜 fun x => f x i := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiable_iff, differentiable_pi] rfl #align differentiable_euclidean differentiable_euclidean theorem hasStrictFDerivAt_euclidean : HasStrictFDerivAt f f' y ↔ ∀ i, HasStrictFDerivAt (fun x => f x i) (EuclideanSpace.proj i ∘L f') y := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_hasStrictFDerivAt_iff, hasStrictFDerivAt_pi'] rfl #align has_strict_fderiv_at_euclidean hasStrictFDerivAt_euclidean theorem hasFDerivWithinAt_euclidean : HasFDerivWithinAt f f' t y ↔ ∀ i, HasFDerivWithinAt (fun x => f x i) (EuclideanSpace.proj i ∘L f') t y := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_hasFDerivWithinAt_iff, hasFDerivWithinAt_pi'] rfl #align has_fderiv_within_at_euclidean hasFDerivWithinAt_euclidean theorem contDiffWithinAt_euclidean {n : ℕ∞} : ContDiffWithinAt 𝕜 n f t y ↔ ∀ i, ContDiffWithinAt 𝕜 n (fun x => f x i) t y := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_contDiffWithinAt_iff, contDiffWithinAt_pi] rfl #align cont_diff_within_at_euclidean contDiffWithinAt_euclidean theorem contDiffAt_euclidean {n : ℕ∞} : ContDiffAt 𝕜 n f y ↔ ∀ i, ContDiffAt 𝕜 n (fun x => f x i) y := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_contDiffAt_iff, contDiffAt_pi] rfl #align cont_diff_at_euclidean contDiffAt_euclidean theorem contDiffOn_euclidean {n : ℕ∞} : ContDiffOn 𝕜 n f t ↔ ∀ i, ContDiffOn 𝕜 n (fun x => f x i) t := by rw [← (EuclideanSpace.equiv ι 𝕜).comp_contDiffOn_iff, contDiffOn_pi] rfl #align cont_diff_on_euclidean contDiffOn_euclidean
Mathlib/Analysis/InnerProductSpace/Calculus.lean
365
367
theorem contDiff_euclidean {n : ℕ∞} : ContDiff 𝕜 n f ↔ ∀ i, ContDiff 𝕜 n fun x => f x i := by
rw [← (EuclideanSpace.equiv ι 𝕜).comp_contDiff_iff, contDiff_pi] rfl
import Mathlib.Algebra.Group.Subgroup.Finite import Mathlib.Data.Finset.Fin import Mathlib.Data.Finset.Sort import Mathlib.Data.Int.Order.Units import Mathlib.GroupTheory.Perm.Support import Mathlib.Logic.Equiv.Fin import Mathlib.Tactic.NormNum.Ineq #align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u v open Equiv Function Fintype Finset variable {α : Type u} [DecidableEq α] {β : Type v} namespace Equiv.Perm def modSwap (i j : α) : Setoid (Perm α) := ⟨fun σ τ => σ = τ ∨ σ = swap i j * τ, fun σ => Or.inl (refl σ), fun {σ τ} h => Or.casesOn h (fun h => Or.inl h.symm) fun h => Or.inr (by rw [h, swap_mul_self_mul]), fun {σ τ υ} hστ hτυ => by cases' hστ with hστ hστ <;> cases' hτυ with hτυ hτυ <;> try rw [hστ, hτυ, swap_mul_self_mul] <;> simp [hστ, hτυ] -- Porting note: should close goals, but doesn't · simp [hστ, hτυ] · simp [hστ, hτυ] · simp [hστ, hτυ]⟩ #align equiv.perm.mod_swap Equiv.Perm.modSwap noncomputable instance {α : Type*} [Fintype α] [DecidableEq α] (i j : α) : DecidableRel (modSwap i j).r := fun _ _ => Or.decidable def swapFactorsAux : ∀ (l : List α) (f : Perm α), (∀ {x}, f x ≠ x → x ∈ l) → { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } | [] => fun f h => ⟨[], Equiv.ext fun x => by rw [List.prod_nil] exact (Classical.not_not.1 (mt h (List.not_mem_nil _))).symm, by simp⟩ | x::l => fun f h => if hfx : x = f x then swapFactorsAux l f fun {y} hy => List.mem_of_ne_of_mem (fun h : y = x => by simp [h, hfx.symm] at hy) (h hy) else let m := swapFactorsAux l (swap x (f x) * f) fun {y} hy => have : f y ≠ y ∧ y ≠ x := ne_and_ne_of_swap_mul_apply_ne_self hy List.mem_of_ne_of_mem this.2 (h this.1) ⟨swap x (f x)::m.1, by rw [List.prod_cons, m.2.1, ← mul_assoc, mul_def (swap x (f x)), swap_swap, ← one_def, one_mul], fun {g} hg => ((List.mem_cons).1 hg).elim (fun h => ⟨x, f x, hfx, h⟩) (m.2.2 _)⟩ #align equiv.perm.swap_factors_aux Equiv.Perm.swapFactorsAux def swapFactors [Fintype α] [LinearOrder α] (f : Perm α) : { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } := swapFactorsAux ((@univ α _).sort (· ≤ ·)) f fun {_ _} => (mem_sort _).2 (mem_univ _) #align equiv.perm.swap_factors Equiv.Perm.swapFactors def truncSwapFactors [Fintype α] (f : Perm α) : Trunc { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } := Quotient.recOnSubsingleton (@univ α _).1 (fun l h => Trunc.mk (swapFactorsAux l f (h _))) (show ∀ x, f x ≠ x → x ∈ (@univ α _).1 from fun _ _ => mem_univ _) #align equiv.perm.trunc_swap_factors Equiv.Perm.truncSwapFactors @[elab_as_elim] theorem swap_induction_on [Finite α] {P : Perm α → Prop} (f : Perm α) : P 1 → (∀ f x y, x ≠ y → P f → P (swap x y * f)) → P f := by cases nonempty_fintype α cases' (truncSwapFactors f).out with l hl induction' l with g l ih generalizing f · simp (config := { contextual := true }) only [hl.left.symm, List.prod_nil, forall_true_iff] · intro h1 hmul_swap rcases hl.2 g (by simp) with ⟨x, y, hxy⟩ rw [← hl.1, List.prod_cons, hxy.2] exact hmul_swap _ _ _ hxy.1 (ih _ ⟨rfl, fun v hv => hl.2 _ (List.mem_cons_of_mem _ hv)⟩ h1 hmul_swap) #align equiv.perm.swap_induction_on Equiv.Perm.swap_induction_on
Mathlib/GroupTheory/Perm/Sign.lean
113
118
theorem closure_isSwap [Finite α] : Subgroup.closure { σ : Perm α | IsSwap σ } = ⊤ := by
cases nonempty_fintype α refine eq_top_iff.mpr fun x _ => ?_ obtain ⟨h1, h2⟩ := Subtype.mem (truncSwapFactors x).out rw [← h1] exact Subgroup.list_prod_mem _ fun y hy => Subgroup.subset_closure (h2 y hy)
import Mathlib.Topology.Maps import Mathlib.Topology.NhdsSet #align_import topology.constructions from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f" noncomputable section open scoped Classical open Topology TopologicalSpace Set Filter Function universe u v variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*} section Constructions instance instTopologicalSpaceSubtype {p : X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Subtype p) := induced (↑) t instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) := coinduced (Quot.mk r) t instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] : TopologicalSpace (Quotient s) := coinduced Quotient.mk' t instance instTopologicalSpaceProd [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] : TopologicalSpace (X × Y) := induced Prod.fst t₁ ⊓ induced Prod.snd t₂ instance instTopologicalSpaceSum [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] : TopologicalSpace (X ⊕ Y) := coinduced Sum.inl t₁ ⊔ coinduced Sum.inr t₂ instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] : TopologicalSpace (Sigma X) := ⨆ i, coinduced (Sigma.mk i) (t₂ i) instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] : TopologicalSpace ((i : ι) → Y i) := ⨅ i, induced (fun f => f i) (t₂ i) #align Pi.topological_space Pi.topologicalSpace instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) := t.induced ULift.down #align ulift.topological_space ULift.topologicalSpace section variable [TopologicalSpace X] open Additive Multiplicative instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X› instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X› instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X› instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X› theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id #align continuous_of_mul continuous_ofMul theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id #align continuous_to_mul continuous_toMul theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id #align continuous_of_add continuous_ofAdd theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id #align continuous_to_add continuous_toAdd theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id #align is_open_map_of_mul isOpenMap_ofMul theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id #align is_open_map_to_mul isOpenMap_toMul theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id #align is_open_map_of_add isOpenMap_ofAdd theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id #align is_open_map_to_add isOpenMap_toAdd theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id #align is_closed_map_of_mul isClosedMap_ofMul theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id #align is_closed_map_to_mul isClosedMap_toMul theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id #align is_closed_map_of_add isClosedMap_ofAdd theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id #align is_closed_map_to_add isClosedMap_toAdd theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl #align nhds_of_mul nhds_ofMul theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl #align nhds_of_add nhds_ofAdd theorem nhds_toMul (x : Additive X) : 𝓝 (toMul x) = map toMul (𝓝 x) := rfl #align nhds_to_mul nhds_toMul theorem nhds_toAdd (x : Multiplicative X) : 𝓝 (toAdd x) = map toAdd (𝓝 x) := rfl #align nhds_to_add nhds_toAdd end section variable [TopologicalSpace X] open OrderDual instance : TopologicalSpace Xᵒᵈ := ‹TopologicalSpace X› instance [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹DiscreteTopology X› theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id #align continuous_to_dual continuous_toDual theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id #align continuous_of_dual continuous_ofDual theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id #align is_open_map_to_dual isOpenMap_toDual theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id #align is_open_map_of_dual isOpenMap_ofDual theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id #align is_closed_map_to_dual isClosedMap_toDual theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id #align is_closed_map_of_dual isClosedMap_ofDual theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl #align nhds_to_dual nhds_toDual theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl #align nhds_of_dual nhds_ofDual end theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s} {x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x := preimage_nhds_coinduced hs #align quotient.preimage_mem_nhds Quotient.preimage_mem_nhds theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) : Dense (Quotient.mk' '' s) := Quotient.surjective_Quotient_mk''.denseRange.dense_image continuous_coinduced_rng H #align dense.quotient Dense.quotient theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) : DenseRange (Quotient.mk' ∘ f) := Quotient.surjective_Quotient_mk''.denseRange.comp hf continuous_coinduced_rng #align dense_range.quotient DenseRange.quotient theorem continuous_map_of_le {α : Type*} [TopologicalSpace α] {s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) := continuous_coinduced_rng theorem continuous_map_sInf {α : Type*} [TopologicalSpace α] {S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) := continuous_coinduced_rng instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) := ⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩ instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X] [hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) := ⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩ #align sum.discrete_topology Sum.discreteTopology instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)] [h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) := ⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩ #align sigma.discrete_topology Sigma.discreteTopology def CofiniteTopology (X : Type*) := X #align cofinite_topology CofiniteTopology section Prod variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace W] [TopologicalSpace ε] [TopologicalSpace ζ] -- Porting note (#11215): TODO: Lean 4 fails to deduce implicit args @[simp] theorem continuous_prod_mk {f : X → Y} {g : X → Z} : (Continuous fun x => (f x, g x)) ↔ Continuous f ∧ Continuous g := (@continuous_inf_rng X (Y × Z) _ _ (TopologicalSpace.induced Prod.fst _) (TopologicalSpace.induced Prod.snd _)).trans <| continuous_induced_rng.and continuous_induced_rng #align continuous_prod_mk continuous_prod_mk @[continuity] theorem continuous_fst : Continuous (@Prod.fst X Y) := (continuous_prod_mk.1 continuous_id).1 #align continuous_fst continuous_fst @[fun_prop] theorem Continuous.fst {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).1 := continuous_fst.comp hf #align continuous.fst Continuous.fst theorem Continuous.fst' {f : X → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.fst := hf.comp continuous_fst #align continuous.fst' Continuous.fst' theorem continuousAt_fst {p : X × Y} : ContinuousAt Prod.fst p := continuous_fst.continuousAt #align continuous_at_fst continuousAt_fst @[fun_prop] theorem ContinuousAt.fst {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) : ContinuousAt (fun x : X => (f x).1) x := continuousAt_fst.comp hf #align continuous_at.fst ContinuousAt.fst theorem ContinuousAt.fst' {f : X → Z} {x : X} {y : Y} (hf : ContinuousAt f x) : ContinuousAt (fun x : X × Y => f x.fst) (x, y) := ContinuousAt.comp hf continuousAt_fst #align continuous_at.fst' ContinuousAt.fst' theorem ContinuousAt.fst'' {f : X → Z} {x : X × Y} (hf : ContinuousAt f x.fst) : ContinuousAt (fun x : X × Y => f x.fst) x := hf.comp continuousAt_fst #align continuous_at.fst'' ContinuousAt.fst'' theorem Filter.Tendsto.fst_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z} (h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).1) l (𝓝 <| p.1) := continuousAt_fst.tendsto.comp h @[continuity] theorem continuous_snd : Continuous (@Prod.snd X Y) := (continuous_prod_mk.1 continuous_id).2 #align continuous_snd continuous_snd @[fun_prop] theorem Continuous.snd {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).2 := continuous_snd.comp hf #align continuous.snd Continuous.snd theorem Continuous.snd' {f : Y → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.snd := hf.comp continuous_snd #align continuous.snd' Continuous.snd' theorem continuousAt_snd {p : X × Y} : ContinuousAt Prod.snd p := continuous_snd.continuousAt #align continuous_at_snd continuousAt_snd @[fun_prop] theorem ContinuousAt.snd {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) : ContinuousAt (fun x : X => (f x).2) x := continuousAt_snd.comp hf #align continuous_at.snd ContinuousAt.snd theorem ContinuousAt.snd' {f : Y → Z} {x : X} {y : Y} (hf : ContinuousAt f y) : ContinuousAt (fun x : X × Y => f x.snd) (x, y) := ContinuousAt.comp hf continuousAt_snd #align continuous_at.snd' ContinuousAt.snd' theorem ContinuousAt.snd'' {f : Y → Z} {x : X × Y} (hf : ContinuousAt f x.snd) : ContinuousAt (fun x : X × Y => f x.snd) x := hf.comp continuousAt_snd #align continuous_at.snd'' ContinuousAt.snd'' theorem Filter.Tendsto.snd_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z} (h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).2) l (𝓝 <| p.2) := continuousAt_snd.tendsto.comp h @[continuity, fun_prop] theorem Continuous.prod_mk {f : Z → X} {g : Z → Y} (hf : Continuous f) (hg : Continuous g) : Continuous fun x => (f x, g x) := continuous_prod_mk.2 ⟨hf, hg⟩ #align continuous.prod_mk Continuous.prod_mk @[continuity] theorem Continuous.Prod.mk (x : X) : Continuous fun y : Y => (x, y) := continuous_const.prod_mk continuous_id #align continuous.prod.mk Continuous.Prod.mk @[continuity] theorem Continuous.Prod.mk_left (y : Y) : Continuous fun x : X => (x, y) := continuous_id.prod_mk continuous_const #align continuous.prod.mk_left Continuous.Prod.mk_left lemma IsClosed.setOf_mapsTo {α : Type*} {f : X → α → Z} {s : Set α} {t : Set Z} (ht : IsClosed t) (hf : ∀ a ∈ s, Continuous (f · a)) : IsClosed {x | MapsTo (f x) s t} := by simpa only [MapsTo, setOf_forall] using isClosed_biInter fun y hy ↦ ht.preimage (hf y hy) theorem Continuous.comp₂ {g : X × Y → Z} (hg : Continuous g) {e : W → X} (he : Continuous e) {f : W → Y} (hf : Continuous f) : Continuous fun w => g (e w, f w) := hg.comp <| he.prod_mk hf #align continuous.comp₂ Continuous.comp₂ theorem Continuous.comp₃ {g : X × Y × Z → ε} (hg : Continuous g) {e : W → X} (he : Continuous e) {f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) : Continuous fun w => g (e w, f w, k w) := hg.comp₂ he <| hf.prod_mk hk #align continuous.comp₃ Continuous.comp₃ theorem Continuous.comp₄ {g : X × Y × Z × ζ → ε} (hg : Continuous g) {e : W → X} (he : Continuous e) {f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) {l : W → ζ} (hl : Continuous l) : Continuous fun w => g (e w, f w, k w, l w) := hg.comp₃ he hf <| hk.prod_mk hl #align continuous.comp₄ Continuous.comp₄ @[continuity] theorem Continuous.prod_map {f : Z → X} {g : W → Y} (hf : Continuous f) (hg : Continuous g) : Continuous fun p : Z × W => (f p.1, g p.2) := hf.fst'.prod_mk hg.snd' #align continuous.prod_map Continuous.prod_map theorem continuous_inf_dom_left₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X} {tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z} (h : by haveI := ta1; haveI := tb1; exact Continuous fun p : X × Y => f p.1 p.2) : by haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by have ha := @continuous_inf_dom_left _ _ id ta1 ta2 ta1 (@continuous_id _ (id _)) have hb := @continuous_inf_dom_left _ _ id tb1 tb2 tb1 (@continuous_id _ (id _)) have h_continuous_id := @Continuous.prod_map _ _ _ _ ta1 tb1 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id #align continuous_inf_dom_left₂ continuous_inf_dom_left₂ theorem continuous_inf_dom_right₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X} {tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z} (h : by haveI := ta2; haveI := tb2; exact Continuous fun p : X × Y => f p.1 p.2) : by haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by have ha := @continuous_inf_dom_right _ _ id ta1 ta2 ta2 (@continuous_id _ (id _)) have hb := @continuous_inf_dom_right _ _ id tb1 tb2 tb2 (@continuous_id _ (id _)) have h_continuous_id := @Continuous.prod_map _ _ _ _ ta2 tb2 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id #align continuous_inf_dom_right₂ continuous_inf_dom_right₂ theorem continuous_sInf_dom₂ {X Y Z} {f : X → Y → Z} {tas : Set (TopologicalSpace X)} {tbs : Set (TopologicalSpace Y)} {tX : TopologicalSpace X} {tY : TopologicalSpace Y} {tc : TopologicalSpace Z} (hX : tX ∈ tas) (hY : tY ∈ tbs) (hf : Continuous fun p : X × Y => f p.1 p.2) : by haveI := sInf tas; haveI := sInf tbs; exact @Continuous _ _ _ tc fun p : X × Y => f p.1 p.2 := by have hX := continuous_sInf_dom hX continuous_id have hY := continuous_sInf_dom hY continuous_id have h_continuous_id := @Continuous.prod_map _ _ _ _ tX tY (sInf tas) (sInf tbs) _ _ hX hY exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ hf h_continuous_id #align continuous_Inf_dom₂ continuous_sInf_dom₂ theorem Filter.Eventually.prod_inl_nhds {p : X → Prop} {x : X} (h : ∀ᶠ x in 𝓝 x, p x) (y : Y) : ∀ᶠ x in 𝓝 (x, y), p (x : X × Y).1 := continuousAt_fst h #align filter.eventually.prod_inl_nhds Filter.Eventually.prod_inl_nhds theorem Filter.Eventually.prod_inr_nhds {p : Y → Prop} {y : Y} (h : ∀ᶠ x in 𝓝 y, p x) (x : X) : ∀ᶠ x in 𝓝 (x, y), p (x : X × Y).2 := continuousAt_snd h #align filter.eventually.prod_inr_nhds Filter.Eventually.prod_inr_nhds theorem Filter.Eventually.prod_mk_nhds {px : X → Prop} {x} (hx : ∀ᶠ x in 𝓝 x, px x) {py : Y → Prop} {y} (hy : ∀ᶠ y in 𝓝 y, py y) : ∀ᶠ p in 𝓝 (x, y), px (p : X × Y).1 ∧ py p.2 := (hx.prod_inl_nhds y).and (hy.prod_inr_nhds x) #align filter.eventually.prod_mk_nhds Filter.Eventually.prod_mk_nhds theorem continuous_swap : Continuous (Prod.swap : X × Y → Y × X) := continuous_snd.prod_mk continuous_fst #align continuous_swap continuous_swap lemma isClosedMap_swap : IsClosedMap (Prod.swap : X × Y → Y × X) := fun s hs ↦ by rw [image_swap_eq_preimage_swap] exact hs.preimage continuous_swap theorem Continuous.uncurry_left {f : X → Y → Z} (x : X) (h : Continuous (uncurry f)) : Continuous (f x) := h.comp (Continuous.Prod.mk _) #align continuous_uncurry_left Continuous.uncurry_left theorem Continuous.uncurry_right {f : X → Y → Z} (y : Y) (h : Continuous (uncurry f)) : Continuous fun a => f a y := h.comp (Continuous.Prod.mk_left _) #align continuous_uncurry_right Continuous.uncurry_right -- 2024-03-09 @[deprecated] alias continuous_uncurry_left := Continuous.uncurry_left @[deprecated] alias continuous_uncurry_right := Continuous.uncurry_right theorem continuous_curry {g : X × Y → Z} (x : X) (h : Continuous g) : Continuous (curry g x) := Continuous.uncurry_left x h #align continuous_curry continuous_curry theorem IsOpen.prod {s : Set X} {t : Set Y} (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ×ˢ t) := (hs.preimage continuous_fst).inter (ht.preimage continuous_snd) #align is_open.prod IsOpen.prod -- Porting note (#11215): TODO: Lean fails to find `t₁` and `t₂` by unification theorem nhds_prod_eq {x : X} {y : Y} : 𝓝 (x, y) = 𝓝 x ×ˢ 𝓝 y := by dsimp only [SProd.sprod] rw [Filter.prod, instTopologicalSpaceProd, nhds_inf (t₁ := TopologicalSpace.induced Prod.fst _) (t₂ := TopologicalSpace.induced Prod.snd _), nhds_induced, nhds_induced] #align nhds_prod_eq nhds_prod_eq -- Porting note: moved from `Topology.ContinuousOn` theorem nhdsWithin_prod_eq (x : X) (y : Y) (s : Set X) (t : Set Y) : 𝓝[s ×ˢ t] (x, y) = 𝓝[s] x ×ˢ 𝓝[t] y := by simp only [nhdsWithin, nhds_prod_eq, ← prod_inf_prod, prod_principal_principal] #align nhds_within_prod_eq nhdsWithin_prod_eq #noalign continuous_uncurry_of_discrete_topology theorem mem_nhds_prod_iff {x : X} {y : Y} {s : Set (X × Y)} : s ∈ 𝓝 (x, y) ↔ ∃ u ∈ 𝓝 x, ∃ v ∈ 𝓝 y, u ×ˢ v ⊆ s := by rw [nhds_prod_eq, mem_prod_iff] #align mem_nhds_prod_iff mem_nhds_prod_iff theorem mem_nhdsWithin_prod_iff {x : X} {y : Y} {s : Set (X × Y)} {tx : Set X} {ty : Set Y} : s ∈ 𝓝[tx ×ˢ ty] (x, y) ↔ ∃ u ∈ 𝓝[tx] x, ∃ v ∈ 𝓝[ty] y, u ×ˢ v ⊆ s := by rw [nhdsWithin_prod_eq, mem_prod_iff] -- Porting note: moved up theorem Filter.HasBasis.prod_nhds {ιX ιY : Type*} {px : ιX → Prop} {py : ιY → Prop} {sx : ιX → Set X} {sy : ιY → Set Y} {x : X} {y : Y} (hx : (𝓝 x).HasBasis px sx) (hy : (𝓝 y).HasBasis py sy) : (𝓝 (x, y)).HasBasis (fun i : ιX × ιY => px i.1 ∧ py i.2) fun i => sx i.1 ×ˢ sy i.2 := by rw [nhds_prod_eq] exact hx.prod hy #align filter.has_basis.prod_nhds Filter.HasBasis.prod_nhds -- Porting note: moved up theorem Filter.HasBasis.prod_nhds' {ιX ιY : Type*} {pX : ιX → Prop} {pY : ιY → Prop} {sx : ιX → Set X} {sy : ιY → Set Y} {p : X × Y} (hx : (𝓝 p.1).HasBasis pX sx) (hy : (𝓝 p.2).HasBasis pY sy) : (𝓝 p).HasBasis (fun i : ιX × ιY => pX i.1 ∧ pY i.2) fun i => sx i.1 ×ˢ sy i.2 := hx.prod_nhds hy #align filter.has_basis.prod_nhds' Filter.HasBasis.prod_nhds' theorem mem_nhds_prod_iff' {x : X} {y : Y} {s : Set (X × Y)} : s ∈ 𝓝 (x, y) ↔ ∃ u v, IsOpen u ∧ x ∈ u ∧ IsOpen v ∧ y ∈ v ∧ u ×ˢ v ⊆ s := ((nhds_basis_opens x).prod_nhds (nhds_basis_opens y)).mem_iff.trans <| by simp only [Prod.exists, and_comm, and_assoc, and_left_comm] #align mem_nhds_prod_iff' mem_nhds_prod_iff' theorem Prod.tendsto_iff {X} (seq : X → Y × Z) {f : Filter X} (p : Y × Z) : Tendsto seq f (𝓝 p) ↔ Tendsto (fun n => (seq n).fst) f (𝓝 p.fst) ∧ Tendsto (fun n => (seq n).snd) f (𝓝 p.snd) := by rw [nhds_prod_eq, Filter.tendsto_prod_iff'] #align prod.tendsto_iff Prod.tendsto_iff instance [DiscreteTopology X] [DiscreteTopology Y] : DiscreteTopology (X × Y) := discreteTopology_iff_nhds.2 fun (a, b) => by rw [nhds_prod_eq, nhds_discrete X, nhds_discrete Y, prod_pure_pure] theorem prod_mem_nhds_iff {s : Set X} {t : Set Y} {x : X} {y : Y} : s ×ˢ t ∈ 𝓝 (x, y) ↔ s ∈ 𝓝 x ∧ t ∈ 𝓝 y := by rw [nhds_prod_eq, prod_mem_prod_iff] #align prod_mem_nhds_iff prod_mem_nhds_iff theorem prod_mem_nhds {s : Set X} {t : Set Y} {x : X} {y : Y} (hx : s ∈ 𝓝 x) (hy : t ∈ 𝓝 y) : s ×ˢ t ∈ 𝓝 (x, y) := prod_mem_nhds_iff.2 ⟨hx, hy⟩ #align prod_mem_nhds prod_mem_nhds theorem isOpen_setOf_disjoint_nhds_nhds : IsOpen { p : X × X | Disjoint (𝓝 p.1) (𝓝 p.2) } := by simp only [isOpen_iff_mem_nhds, Prod.forall, mem_setOf_eq] intro x y h obtain ⟨U, hU, V, hV, hd⟩ := ((nhds_basis_opens x).disjoint_iff (nhds_basis_opens y)).mp h exact mem_nhds_prod_iff'.mpr ⟨U, V, hU.2, hU.1, hV.2, hV.1, fun ⟨x', y'⟩ ⟨hx', hy'⟩ => disjoint_of_disjoint_of_mem hd (hU.2.mem_nhds hx') (hV.2.mem_nhds hy')⟩ #align is_open_set_of_disjoint_nhds_nhds isOpen_setOf_disjoint_nhds_nhds theorem Filter.Eventually.prod_nhds {p : X → Prop} {q : Y → Prop} {x : X} {y : Y} (hx : ∀ᶠ x in 𝓝 x, p x) (hy : ∀ᶠ y in 𝓝 y, q y) : ∀ᶠ z : X × Y in 𝓝 (x, y), p z.1 ∧ q z.2 := prod_mem_nhds hx hy #align filter.eventually.prod_nhds Filter.Eventually.prod_nhds theorem nhds_swap (x : X) (y : Y) : 𝓝 (x, y) = (𝓝 (y, x)).map Prod.swap := by rw [nhds_prod_eq, Filter.prod_comm, nhds_prod_eq]; rfl #align nhds_swap nhds_swap theorem Filter.Tendsto.prod_mk_nhds {γ} {x : X} {y : Y} {f : Filter γ} {mx : γ → X} {my : γ → Y} (hx : Tendsto mx f (𝓝 x)) (hy : Tendsto my f (𝓝 y)) : Tendsto (fun c => (mx c, my c)) f (𝓝 (x, y)) := by rw [nhds_prod_eq]; exact Filter.Tendsto.prod_mk hx hy #align filter.tendsto.prod_mk_nhds Filter.Tendsto.prod_mk_nhds theorem Filter.Eventually.curry_nhds {p : X × Y → Prop} {x : X} {y : Y} (h : ∀ᶠ x in 𝓝 (x, y), p x) : ∀ᶠ x' in 𝓝 x, ∀ᶠ y' in 𝓝 y, p (x', y') := by rw [nhds_prod_eq] at h exact h.curry #align filter.eventually.curry_nhds Filter.Eventually.curry_nhds @[fun_prop] theorem ContinuousAt.prod {f : X → Y} {g : X → Z} {x : X} (hf : ContinuousAt f x) (hg : ContinuousAt g x) : ContinuousAt (fun x => (f x, g x)) x := hf.prod_mk_nhds hg #align continuous_at.prod ContinuousAt.prod theorem ContinuousAt.prod_map {f : X → Z} {g : Y → W} {p : X × Y} (hf : ContinuousAt f p.fst) (hg : ContinuousAt g p.snd) : ContinuousAt (fun p : X × Y => (f p.1, g p.2)) p := hf.fst''.prod hg.snd'' #align continuous_at.prod_map ContinuousAt.prod_map theorem ContinuousAt.prod_map' {f : X → Z} {g : Y → W} {x : X} {y : Y} (hf : ContinuousAt f x) (hg : ContinuousAt g y) : ContinuousAt (fun p : X × Y => (f p.1, g p.2)) (x, y) := hf.fst'.prod hg.snd' #align continuous_at.prod_map' ContinuousAt.prod_map' theorem ContinuousAt.comp₂ {f : Y × Z → W} {g : X → Y} {h : X → Z} {x : X} (hf : ContinuousAt f (g x, h x)) (hg : ContinuousAt g x) (hh : ContinuousAt h x) : ContinuousAt (fun x ↦ f (g x, h x)) x := ContinuousAt.comp hf (hg.prod hh) theorem ContinuousAt.comp₂_of_eq {f : Y × Z → W} {g : X → Y} {h : X → Z} {x : X} {y : Y × Z} (hf : ContinuousAt f y) (hg : ContinuousAt g x) (hh : ContinuousAt h x) (e : (g x, h x) = y) : ContinuousAt (fun x ↦ f (g x, h x)) x := by rw [← e] at hf exact hf.comp₂ hg hh theorem Continuous.curry_left {f : X × Y → Z} (hf : Continuous f) {y : Y} : Continuous fun x ↦ f (x, y) := hf.comp (continuous_id.prod_mk continuous_const) alias Continuous.along_fst := Continuous.curry_left theorem Continuous.curry_right {f : X × Y → Z} (hf : Continuous f) {x : X} : Continuous fun y ↦ f (x, y) := hf.comp (continuous_const.prod_mk continuous_id) alias Continuous.along_snd := Continuous.curry_right -- todo: prove a version of `generateFrom_union` with `image2 (∩) s t` in the LHS and use it here theorem prod_generateFrom_generateFrom_eq {X Y : Type*} {s : Set (Set X)} {t : Set (Set Y)} (hs : ⋃₀ s = univ) (ht : ⋃₀ t = univ) : @instTopologicalSpaceProd X Y (generateFrom s) (generateFrom t) = generateFrom (image2 (· ×ˢ ·) s t) := let G := generateFrom (image2 (· ×ˢ ·) s t) le_antisymm (le_generateFrom fun g ⟨u, hu, v, hv, g_eq⟩ => g_eq.symm ▸ @IsOpen.prod _ _ (generateFrom s) (generateFrom t) _ _ (GenerateOpen.basic _ hu) (GenerateOpen.basic _ hv)) (le_inf (coinduced_le_iff_le_induced.mp <| le_generateFrom fun u hu => have : ⋃ v ∈ t, u ×ˢ v = Prod.fst ⁻¹' u := by simp_rw [← prod_iUnion, ← sUnion_eq_biUnion, ht, prod_univ] show G.IsOpen (Prod.fst ⁻¹' u) by rw [← this] exact isOpen_iUnion fun v => isOpen_iUnion fun hv => GenerateOpen.basic _ ⟨_, hu, _, hv, rfl⟩) (coinduced_le_iff_le_induced.mp <| le_generateFrom fun v hv => have : ⋃ u ∈ s, u ×ˢ v = Prod.snd ⁻¹' v := by simp_rw [← iUnion_prod_const, ← sUnion_eq_biUnion, hs, univ_prod] show G.IsOpen (Prod.snd ⁻¹' v) by rw [← this] exact isOpen_iUnion fun u => isOpen_iUnion fun hu => GenerateOpen.basic _ ⟨_, hu, _, hv, rfl⟩)) #align prod_generate_from_generate_from_eq prod_generateFrom_generateFrom_eq -- todo: use the previous lemma? theorem prod_eq_generateFrom : instTopologicalSpaceProd = generateFrom { g | ∃ (s : Set X) (t : Set Y), IsOpen s ∧ IsOpen t ∧ g = s ×ˢ t } := le_antisymm (le_generateFrom fun g ⟨s, t, hs, ht, g_eq⟩ => g_eq.symm ▸ hs.prod ht) (le_inf (forall_mem_image.2 fun t ht => GenerateOpen.basic _ ⟨t, univ, by simpa [Set.prod_eq] using ht⟩) (forall_mem_image.2 fun t ht => GenerateOpen.basic _ ⟨univ, t, by simpa [Set.prod_eq] using ht⟩)) #align prod_eq_generate_from prod_eq_generateFrom -- Porting note (#11215): TODO: align with `mem_nhds_prod_iff'` theorem isOpen_prod_iff {s : Set (X × Y)} : IsOpen s ↔ ∀ a b, (a, b) ∈ s → ∃ u v, IsOpen u ∧ IsOpen v ∧ a ∈ u ∧ b ∈ v ∧ u ×ˢ v ⊆ s := isOpen_iff_mem_nhds.trans <| by simp_rw [Prod.forall, mem_nhds_prod_iff', and_left_comm] #align is_open_prod_iff isOpen_prod_iff theorem prod_induced_induced (f : X → Y) (g : Z → W) : @instTopologicalSpaceProd X Z (induced f ‹_›) (induced g ‹_›) = induced (fun p => (f p.1, g p.2)) instTopologicalSpaceProd := by delta instTopologicalSpaceProd simp_rw [induced_inf, induced_compose] rfl #align prod_induced_induced prod_induced_induced #noalign continuous_uncurry_of_discrete_topology_left theorem exists_nhds_square {s : Set (X × X)} {x : X} (hx : s ∈ 𝓝 (x, x)) : ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ U ×ˢ U ⊆ s := by simpa [nhds_prod_eq, (nhds_basis_opens x).prod_self.mem_iff, and_assoc, and_left_comm] using hx #align exists_nhds_square exists_nhds_square theorem map_fst_nhdsWithin (x : X × Y) : map Prod.fst (𝓝[Prod.snd ⁻¹' {x.2}] x) = 𝓝 x.1 := by refine le_antisymm (continuousAt_fst.mono_left inf_le_left) fun s hs => ?_ rcases x with ⟨x, y⟩ rw [mem_map, nhdsWithin, mem_inf_principal, mem_nhds_prod_iff] at hs rcases hs with ⟨u, hu, v, hv, H⟩ simp only [prod_subset_iff, mem_singleton_iff, mem_setOf_eq, mem_preimage] at H exact mem_of_superset hu fun z hz => H _ hz _ (mem_of_mem_nhds hv) rfl #align map_fst_nhds_within map_fst_nhdsWithin @[simp] theorem map_fst_nhds (x : X × Y) : map Prod.fst (𝓝 x) = 𝓝 x.1 := le_antisymm continuousAt_fst <| (map_fst_nhdsWithin x).symm.trans_le (map_mono inf_le_left) #align map_fst_nhds map_fst_nhds theorem isOpenMap_fst : IsOpenMap (@Prod.fst X Y) := isOpenMap_iff_nhds_le.2 fun x => (map_fst_nhds x).ge #align is_open_map_fst isOpenMap_fst theorem map_snd_nhdsWithin (x : X × Y) : map Prod.snd (𝓝[Prod.fst ⁻¹' {x.1}] x) = 𝓝 x.2 := by refine le_antisymm (continuousAt_snd.mono_left inf_le_left) fun s hs => ?_ rcases x with ⟨x, y⟩ rw [mem_map, nhdsWithin, mem_inf_principal, mem_nhds_prod_iff] at hs rcases hs with ⟨u, hu, v, hv, H⟩ simp only [prod_subset_iff, mem_singleton_iff, mem_setOf_eq, mem_preimage] at H exact mem_of_superset hv fun z hz => H _ (mem_of_mem_nhds hu) _ hz rfl #align map_snd_nhds_within map_snd_nhdsWithin @[simp] theorem map_snd_nhds (x : X × Y) : map Prod.snd (𝓝 x) = 𝓝 x.2 := le_antisymm continuousAt_snd <| (map_snd_nhdsWithin x).symm.trans_le (map_mono inf_le_left) #align map_snd_nhds map_snd_nhds theorem isOpenMap_snd : IsOpenMap (@Prod.snd X Y) := isOpenMap_iff_nhds_le.2 fun x => (map_snd_nhds x).ge #align is_open_map_snd isOpenMap_snd
Mathlib/Topology/Constructions.lean
794
810
theorem isOpen_prod_iff' {s : Set X} {t : Set Y} : IsOpen (s ×ˢ t) ↔ IsOpen s ∧ IsOpen t ∨ s = ∅ ∨ t = ∅ := by
rcases (s ×ˢ t).eq_empty_or_nonempty with h | h · simp [h, prod_eq_empty_iff.1 h] · have st : s.Nonempty ∧ t.Nonempty := prod_nonempty_iff.1 h constructor · intro (H : IsOpen (s ×ˢ t)) refine Or.inl ⟨?_, ?_⟩ · show IsOpen s rw [← fst_image_prod s st.2] exact isOpenMap_fst _ H · show IsOpen t rw [← snd_image_prod st.1 t] exact isOpenMap_snd _ H · intro H simp only [st.1.ne_empty, st.2.ne_empty, not_false_iff, or_false_iff] at H exact H.1.prod H.2
import Mathlib.Data.ZMod.Basic import Mathlib.Algebra.Group.Nat import Mathlib.Tactic.IntervalCases import Mathlib.GroupTheory.SpecificGroups.Dihedral import Mathlib.GroupTheory.SpecificGroups.Cyclic #align_import group_theory.specific_groups.quaternion from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6" inductive QuaternionGroup (n : ℕ) : Type | a : ZMod (2 * n) → QuaternionGroup n | xa : ZMod (2 * n) → QuaternionGroup n deriving DecidableEq #align quaternion_group QuaternionGroup namespace QuaternionGroup variable {n : ℕ} private def mul : QuaternionGroup n → QuaternionGroup n → QuaternionGroup n | a i, a j => a (i + j) | a i, xa j => xa (j - i) | xa i, a j => xa (i + j) | xa i, xa j => a (n + j - i) private def one : QuaternionGroup n := a 0 instance : Inhabited (QuaternionGroup n) := ⟨one⟩ private def inv : QuaternionGroup n → QuaternionGroup n | a i => a (-i) | xa i => xa (n + i) instance : Group (QuaternionGroup n) where mul := mul mul_assoc := by rintro (i | i) (j | j) (k | k) <;> simp only [(· * ·), mul] <;> ring_nf congr calc -(n : ZMod (2 * n)) = 0 - n := by rw [zero_sub] _ = 2 * n - n := by norm_cast; simp _ = n := by ring one := one one_mul := by rintro (i | i) · exact congr_arg a (zero_add i) · exact congr_arg xa (sub_zero i) mul_one := by rintro (i | i) · exact congr_arg a (add_zero i) · exact congr_arg xa (add_zero i) inv := inv mul_left_inv := by rintro (i | i) · exact congr_arg a (neg_add_self i) · exact congr_arg a (sub_self (n + i)) @[simp] theorem a_mul_a (i j : ZMod (2 * n)) : a i * a j = a (i + j) := rfl #align quaternion_group.a_mul_a QuaternionGroup.a_mul_a @[simp] theorem a_mul_xa (i j : ZMod (2 * n)) : a i * xa j = xa (j - i) := rfl #align quaternion_group.a_mul_xa QuaternionGroup.a_mul_xa @[simp] theorem xa_mul_a (i j : ZMod (2 * n)) : xa i * a j = xa (i + j) := rfl #align quaternion_group.xa_mul_a QuaternionGroup.xa_mul_a @[simp] theorem xa_mul_xa (i j : ZMod (2 * n)) : xa i * xa j = a ((n : ZMod (2 * n)) + j - i) := rfl #align quaternion_group.xa_mul_xa QuaternionGroup.xa_mul_xa theorem one_def : (1 : QuaternionGroup n) = a 0 := rfl #align quaternion_group.one_def QuaternionGroup.one_def private def fintypeHelper : Sum (ZMod (2 * n)) (ZMod (2 * n)) ≃ QuaternionGroup n where invFun i := match i with | a j => Sum.inl j | xa j => Sum.inr j toFun i := match i with | Sum.inl j => a j | Sum.inr j => xa j left_inv := by rintro (x | x) <;> rfl right_inv := by rintro (x | x) <;> rfl def quaternionGroupZeroEquivDihedralGroupZero : QuaternionGroup 0 ≃* DihedralGroup 0 where toFun i := -- Porting note: Originally `QuaternionGroup.recOn i DihedralGroup.r DihedralGroup.sr` match i with | a j => DihedralGroup.r j | xa j => DihedralGroup.sr j invFun i := match i with | DihedralGroup.r j => a j | DihedralGroup.sr j => xa j left_inv := by rintro (k | k) <;> rfl right_inv := by rintro (k | k) <;> rfl map_mul' := by rintro (k | k) (l | l) <;> simp #align quaternion_group.quaternion_group_zero_equiv_dihedral_group_zero QuaternionGroup.quaternionGroupZeroEquivDihedralGroupZero instance [NeZero n] : Fintype (QuaternionGroup n) := Fintype.ofEquiv _ fintypeHelper instance : Nontrivial (QuaternionGroup n) := ⟨⟨a 0, xa 0, by revert n; simp⟩⟩ -- Porting note: `revert n; simp` was `decide` theorem card [NeZero n] : Fintype.card (QuaternionGroup n) = 4 * n := by rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul] ring #align quaternion_group.card QuaternionGroup.card @[simp] theorem a_one_pow (k : ℕ) : (a 1 : QuaternionGroup n) ^ k = a k := by induction' k with k IH · rw [Nat.cast_zero]; rfl · rw [pow_succ, IH, a_mul_a] congr 1 norm_cast #align quaternion_group.a_one_pow QuaternionGroup.a_one_pow -- @[simp] -- Porting note: simp changes this to `a 0 = 1`, so this is no longer a good simp lemma. theorem a_one_pow_n : (a 1 : QuaternionGroup n) ^ (2 * n) = 1 := by rw [a_one_pow, one_def] congr 1 exact ZMod.natCast_self _ #align quaternion_group.a_one_pow_n QuaternionGroup.a_one_pow_n @[simp] theorem xa_sq (i : ZMod (2 * n)) : xa i ^ 2 = a n := by simp [sq] #align quaternion_group.xa_sq QuaternionGroup.xa_sq @[simp] theorem xa_pow_four (i : ZMod (2 * n)) : xa i ^ 4 = 1 := by rw [pow_succ, pow_succ, sq, xa_mul_xa, a_mul_xa, xa_mul_xa, add_sub_cancel_right, add_sub_assoc, sub_sub_cancel] norm_cast rw [← two_mul] simp [one_def] #align quaternion_group.xa_pow_four QuaternionGroup.xa_pow_four @[simp] theorem orderOf_xa [NeZero n] (i : ZMod (2 * n)) : orderOf (xa i) = 4 := by change _ = 2 ^ 2 haveI : Fact (Nat.Prime 2) := Fact.mk Nat.prime_two apply orderOf_eq_prime_pow · intro h simp only [pow_one, xa_sq] at h injection h with h' apply_fun ZMod.val at h' apply_fun (· / n) at h' simp only [ZMod.val_natCast, ZMod.val_zero, Nat.zero_div, Nat.mod_mul_left_div_self, Nat.div_self (NeZero.pos n)] at h' · norm_num #align quaternion_group.order_of_xa QuaternionGroup.orderOf_xa
Mathlib/GroupTheory/SpecificGroups/Quaternion.lean
226
229
theorem quaternionGroup_one_isCyclic : IsCyclic (QuaternionGroup 1) := by
apply isCyclic_of_orderOf_eq_card · rw [card, mul_one] exact orderOf_xa 0
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H .. theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by induction l <;> simp [*] theorem Pairwise.and_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.imp_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l) (h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by induction l with | nil => exact forall_mem_nil _ | cons a l ih => rw [pairwise_cons] at h₂ h₃ simp only [mem_cons] rintro x (rfl | hx) y (rfl | hy) · exact h₁ _ (l.mem_cons_self _) · exact h₂.1 _ hy · exact h₃.1 _ hx · exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by simp
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
106
106
theorem pairwise_pair {a b : α} : Pairwise R [a, b] ↔ R a b := by
simp
import Mathlib.Analysis.SpecialFunctions.Pow.Complex import Qq #align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" noncomputable section open scoped Classical open Real ComplexConjugate open Finset Set namespace Real variable {x y z : ℝ} noncomputable def rpow (x y : ℝ) := ((x : ℂ) ^ (y : ℂ)).re #align real.rpow Real.rpow noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩ @[simp] theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl #align real.rpow_eq_pow Real.rpow_eq_pow theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl #align real.rpow_def Real.rpow_def
Mathlib/Analysis/SpecialFunctions/Pow/Real.lean
49
53
theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by
simp only [rpow_def, Complex.cpow_def]; split_ifs <;> simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul, (Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero]
import Mathlib.Topology.Sheaves.Presheaf import Mathlib.Topology.Sheaves.Stalks import Mathlib.CategoryTheory.Limits.Preserves.Filtered import Mathlib.CategoryTheory.Sites.LocallySurjective #align_import topology.sheaves.locally_surjective from "leanprover-community/mathlib"@"fb7698eb37544cbb66292b68b40e54d001f8d1a9" universe v u attribute [local instance] CategoryTheory.ConcreteCategory.instFunLike noncomputable section open CategoryTheory open TopologicalSpace open Opposite namespace TopCat.Presheaf section LocallySurjective open scoped AlgebraicGeometry variable {C : Type u} [Category.{v} C] [ConcreteCategory.{v} C] {X : TopCat.{v}} variable {ℱ 𝒢 : X.Presheaf C} def IsLocallySurjective (T : ℱ ⟶ 𝒢) := CategoryTheory.Presheaf.IsLocallySurjective (Opens.grothendieckTopology X) T set_option linter.uppercaseLean3 false in #align Top.presheaf.is_locally_surjective TopCat.Presheaf.IsLocallySurjective theorem isLocallySurjective_iff (T : ℱ ⟶ 𝒢) : IsLocallySurjective T ↔ ∀ (U t), ∀ x ∈ U, ∃ (V : _) (ι : V ⟶ U), (∃ s, T.app _ s = t |_ₕ ι) ∧ x ∈ V := ⟨fun h _ => h.imageSieve_mem, fun h => ⟨h _⟩⟩ set_option linter.uppercaseLean3 false in #align Top.presheaf.is_locally_surjective_iff TopCat.Presheaf.isLocallySurjective_iff section SurjectiveOnStalks variable [Limits.HasColimits C] [Limits.PreservesFilteredColimits (forget C)]
Mathlib/Topology/Sheaves/LocallySurjective.lean
78
118
theorem locally_surjective_iff_surjective_on_stalks (T : ℱ ⟶ 𝒢) : IsLocallySurjective T ↔ ∀ x : X, Function.Surjective ((stalkFunctor C x).map T) := by
constructor <;> intro hT · /- human proof: Let g ∈ Γₛₜ 𝒢 x be a germ. Represent it on an open set U ⊆ X as ⟨t, U⟩. By local surjectivity, pass to a smaller open set V on which there exists s ∈ Γ_ ℱ V mapping to t |_ V. Then the germ of s maps to g -/ -- Let g ∈ Γₛₜ 𝒢 x be a germ. intro x g -- Represent it on an open set U ⊆ X as ⟨t, U⟩. obtain ⟨U, hxU, t, rfl⟩ := 𝒢.germ_exist x g -- By local surjectivity, pass to a smaller open set V -- on which there exists s ∈ Γ_ ℱ V mapping to t |_ V. rcases hT.imageSieve_mem t x hxU with ⟨V, ι, ⟨s, h_eq⟩, hxV⟩ -- Then the germ of s maps to g. use ℱ.germ ⟨x, hxV⟩ s -- Porting note: `convert` went too deep and swapped LHS and RHS of the remaining goal relative -- to lean 3. convert stalkFunctor_map_germ_apply V ⟨x, hxV⟩ T s using 1 simpa [h_eq] using (germ_res_apply 𝒢 ι ⟨x, hxV⟩ t).symm · /- human proof: Let U be an open set, t ∈ Γ ℱ U a section, x ∈ U a point. By surjectivity on stalks, the germ of t is the image of some germ f ∈ Γₛₜ ℱ x. Represent f on some open set V ⊆ X as ⟨s, V⟩. Then there is some possibly smaller open set x ∈ W ⊆ V ∩ U on which we have T(s) |_ W = t |_ W. -/ constructor intro U t x hxU set t_x := 𝒢.germ ⟨x, hxU⟩ t with ht_x obtain ⟨s_x, hs_x : ((stalkFunctor C x).map T) s_x = t_x⟩ := hT x t_x obtain ⟨V, hxV, s, rfl⟩ := ℱ.germ_exist x s_x -- rfl : ℱ.germ x s = s_x have key_W := 𝒢.germ_eq x hxV hxU (T.app _ s) t <| by convert hs_x using 1 symm convert stalkFunctor_map_germ_apply _ _ _ s obtain ⟨W, hxW, hWV, hWU, h_eq⟩ := key_W refine ⟨W, hWU, ⟨ℱ.map hWV.op s, ?_⟩, hxW⟩ convert h_eq using 1 simp only [← comp_apply, T.naturality]
import Mathlib.CategoryTheory.Abelian.Opposite import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Kernels import Mathlib.CategoryTheory.Preadditive.LeftExact import Mathlib.CategoryTheory.Adjunction.Limits import Mathlib.Algebra.Homology.Exact import Mathlib.Tactic.TFAE #align_import category_theory.abelian.exact from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v₁ v₂ u₁ u₂ noncomputable section open CategoryTheory Limits Preadditive variable {C : Type u₁} [Category.{v₁} C] [Abelian C] namespace CategoryTheory namespace Abelian variable {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) attribute [local instance] hasEqualizers_of_hasKernels theorem exact_iff_image_eq_kernel : Exact f g ↔ imageSubobject f = kernelSubobject g := by constructor · intro h have : IsIso (imageToKernel f g h.w) := have := h.epi; isIso_of_mono_of_epi _ refine Subobject.eq_of_comm (asIso (imageToKernel _ _ h.w)) ?_ simp · apply exact_of_image_eq_kernel #align category_theory.abelian.exact_iff_image_eq_kernel CategoryTheory.Abelian.exact_iff_image_eq_kernel theorem exact_iff : Exact f g ↔ f ≫ g = 0 ∧ kernel.ι g ≫ cokernel.π f = 0 := by constructor · exact fun h ↦ ⟨h.1, kernel_comp_cokernel f g h⟩ · refine fun h ↦ ⟨h.1, ?_⟩ suffices hl : IsLimit (KernelFork.ofι (imageSubobject f).arrow (imageSubobject_arrow_comp_eq_zero h.1)) by have : imageToKernel f g h.1 = (hl.conePointUniqueUpToIso (limit.isLimit _)).hom ≫ (kernelSubobjectIso _).inv := by ext; simp rw [this] infer_instance refine KernelFork.IsLimit.ofι _ _ (fun u hu ↦ ?_) ?_ (fun _ _ _ h ↦ ?_) · refine kernel.lift (cokernel.π f) u ?_ ≫ (imageIsoImage f).hom ≫ (imageSubobjectIso _).inv rw [← kernel.lift_ι g u hu, Category.assoc, h.2, comp_zero] · aesop_cat · rw [← cancel_mono (imageSubobject f).arrow, h] simp #align category_theory.abelian.exact_iff CategoryTheory.Abelian.exact_iff theorem exact_iff' {cg : KernelFork g} (hg : IsLimit cg) {cf : CokernelCofork f} (hf : IsColimit cf) : Exact f g ↔ f ≫ g = 0 ∧ cg.ι ≫ cf.π = 0 := by constructor · intro h exact ⟨h.1, fork_ι_comp_cofork_π f g h cg cf⟩ · rw [exact_iff] refine fun h => ⟨h.1, ?_⟩ apply zero_of_epi_comp (IsLimit.conePointUniqueUpToIso hg (limit.isLimit _)).hom apply zero_of_comp_mono (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) hf).hom simp [h.2] #align category_theory.abelian.exact_iff' CategoryTheory.Abelian.exact_iff' open List in theorem exact_tfae : TFAE [Exact f g, f ≫ g = 0 ∧ kernel.ι g ≫ cokernel.π f = 0, imageSubobject f = kernelSubobject g] := by tfae_have 1 ↔ 2; · apply exact_iff tfae_have 1 ↔ 3; · apply exact_iff_image_eq_kernel tfae_finish #align category_theory.abelian.exact_tfae CategoryTheory.Abelian.exact_tfae nonrec theorem IsEquivalence.exact_iff {D : Type u₁} [Category.{v₁} D] [Abelian D] (F : C ⥤ D) [F.IsEquivalence] : Exact (F.map f) (F.map g) ↔ Exact f g := by simp only [exact_iff, ← F.map_eq_zero_iff, F.map_comp, Category.assoc, ← kernelComparison_comp_ι g F, ← π_comp_cokernelComparison f F] rw [IsIso.comp_left_eq_zero (kernelComparison g F), ← Category.assoc, IsIso.comp_right_eq_zero _ (cokernelComparison f F)] #align category_theory.abelian.is_equivalence.exact_iff CategoryTheory.Abelian.IsEquivalence.exact_iff theorem exact_epi_comp_iff {W : C} (h : W ⟶ X) [Epi h] : Exact (h ≫ f) g ↔ Exact f g := by refine ⟨fun hfg => ?_, fun h => exact_epi_comp h⟩ let hc := isCokernelOfComp _ _ (colimit.isColimit (parallelPair (h ≫ f) 0)) (by rw [← cancel_epi h, ← Category.assoc, CokernelCofork.condition, comp_zero]) rfl refine (exact_iff' _ _ (limit.isLimit _) hc).2 ⟨?_, ((exact_iff _ _).1 hfg).2⟩ exact zero_of_epi_comp h (by rw [← hfg.1, Category.assoc]) #align category_theory.abelian.exact_epi_comp_iff CategoryTheory.Abelian.exact_epi_comp_iff def isLimitImage (h : Exact f g) : IsLimit (KernelFork.ofι (Abelian.image.ι f) (image_ι_comp_eq_zero h.1) : KernelFork g) := by rw [exact_iff] at h exact KernelFork.IsLimit.ofι _ _ (fun u hu ↦ kernel.lift (cokernel.π f) u (by rw [← kernel.lift_ι g u hu, Category.assoc, h.2, comp_zero])) (by aesop_cat) (fun _ _ _ hm => by rw [← cancel_mono (image.ι f), hm, kernel.lift_ι]) #align category_theory.abelian.is_limit_image CategoryTheory.Abelian.isLimitImage def isLimitImage' (h : Exact f g) : IsLimit (KernelFork.ofι (Limits.image.ι f) (Limits.image_ι_comp_eq_zero h.1)) := IsKernel.isoKernel _ _ (isLimitImage f g h) (imageIsoImage f).symm <| IsImage.lift_fac _ _ #align category_theory.abelian.is_limit_image' CategoryTheory.Abelian.isLimitImage' def isColimitCoimage (h : Exact f g) : IsColimit (CokernelCofork.ofπ (Abelian.coimage.π g) (Abelian.comp_coimage_π_eq_zero h.1) : CokernelCofork f) := by rw [exact_iff] at h refine CokernelCofork.IsColimit.ofπ _ _ (fun u hu => cokernel.desc (kernel.ι g) u (by rw [← cokernel.π_desc f u hu, ← Category.assoc, h.2, zero_comp])) (by aesop_cat) ?_ intros _ _ _ _ hm ext rw [hm, cokernel.π_desc] #align category_theory.abelian.is_colimit_coimage CategoryTheory.Abelian.isColimitCoimage def isColimitImage (h : Exact f g) : IsColimit (CokernelCofork.ofπ (Limits.factorThruImage g) (comp_factorThruImage_eq_zero h.1)) := IsCokernel.cokernelIso _ _ (isColimitCoimage f g h) (coimageIsoImage' g) <| (cancel_mono (Limits.image.ι g)).1 <| by simp #align category_theory.abelian.is_colimit_image CategoryTheory.Abelian.isColimitImage theorem exact_cokernel : Exact f (cokernel.π f) := by rw [exact_iff] aesop_cat #align category_theory.abelian.exact_cokernel CategoryTheory.Abelian.exact_cokernel -- Porting note: this can no longer be an instance in Lean4 lemma mono_cokernel_desc_of_exact (h : Exact f g) : Mono (cokernel.desc f g h.w) := suffices h : cokernel.desc f g h.w = (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (isColimitImage f g h)).hom ≫ Limits.image.ι g from h.symm ▸ mono_comp _ _ (cancel_epi (cokernel.π f)).1 <| by simp -- Porting note: this can no longer be an instance in Lean4 lemma isIso_cokernel_desc_of_exact_of_epi (ex : Exact f g) [Epi g] : IsIso (cokernel.desc f g ex.w) := have := mono_cokernel_desc_of_exact _ _ ex isIso_of_mono_of_epi (Limits.cokernel.desc f g ex.w) -- Porting note: removed the simp attribute because the lemma may never apply automatically @[reassoc (attr := nolint unusedHavesSuffices)] theorem cokernel.desc.inv [Epi g] (ex : Exact f g) : have := isIso_cokernel_desc_of_exact_of_epi _ _ ex g ≫ inv (cokernel.desc _ _ ex.w) = cokernel.π _ := by have := isIso_cokernel_desc_of_exact_of_epi _ _ ex simp #align category_theory.abelian.cokernel.desc.inv CategoryTheory.Abelian.cokernel.desc.inv -- Porting note: this can no longer be an instance in Lean4 lemma isIso_kernel_lift_of_exact_of_mono (ex : Exact f g) [Mono f] : IsIso (kernel.lift g f ex.w) := have := ex.epi_kernel_lift isIso_of_mono_of_epi (Limits.kernel.lift g f ex.w) -- Porting note: removed the simp attribute because the lemma may never apply automatically @[reassoc (attr := nolint unusedHavesSuffices)] theorem kernel.lift.inv [Mono f] (ex : Exact f g) : have := isIso_kernel_lift_of_exact_of_mono _ _ ex inv (kernel.lift _ _ ex.w) ≫ f = kernel.ι g := by have := isIso_kernel_lift_of_exact_of_mono _ _ ex simp #align category_theory.abelian.kernel.lift.inv CategoryTheory.Abelian.kernel.lift.inv def isColimitOfExactOfEpi [Epi g] (h : Exact f g) : IsColimit (CokernelCofork.ofπ _ h.w) := IsColimit.ofIsoColimit (colimit.isColimit _) <| Cocones.ext ⟨cokernel.desc _ _ h.w, epiDesc g (cokernel.π f) ((exact_iff _ _).1 h).2, (cancel_epi (cokernel.π f)).1 (by aesop_cat), (cancel_epi g).1 (by aesop_cat)⟩ (by rintro (_|_) <;> simp [h.w]) #align category_theory.abelian.is_colimit_of_exact_of_epi CategoryTheory.Abelian.isColimitOfExactOfEpi def isLimitOfExactOfMono [Mono f] (h : Exact f g) : IsLimit (KernelFork.ofι _ h.w) := IsLimit.ofIsoLimit (limit.isLimit _) <| Cones.ext ⟨monoLift f (kernel.ι g) ((exact_iff _ _).1 h).2, kernel.lift _ _ h.w, (cancel_mono (kernel.ι g)).1 (by aesop_cat), (cancel_mono f).1 (by aesop_cat)⟩ fun j => by cases j <;> simp #align category_theory.abelian.is_limit_of_exact_of_mono CategoryTheory.Abelian.isLimitOfExactOfMono theorem exact_of_is_cokernel (w : f ≫ g = 0) (h : IsColimit (CokernelCofork.ofπ _ w)) : Exact f g := by refine (exact_iff _ _).2 ⟨w, ?_⟩ have := h.fac (CokernelCofork.ofπ _ (cokernel.condition f)) WalkingParallelPair.one simp only [Cofork.ofπ_ι_app] at this rw [← this, ← Category.assoc, kernel.condition, zero_comp] #align category_theory.abelian.exact_of_is_cokernel CategoryTheory.Abelian.exact_of_is_cokernel theorem exact_of_is_kernel (w : f ≫ g = 0) (h : IsLimit (KernelFork.ofι _ w)) : Exact f g := by refine (exact_iff _ _).2 ⟨w, ?_⟩ have := h.fac (KernelFork.ofι _ (kernel.condition g)) WalkingParallelPair.zero simp only [Fork.ofι_π_app] at this rw [← this, Category.assoc, cokernel.condition, comp_zero] #align category_theory.abelian.exact_of_is_kernel CategoryTheory.Abelian.exact_of_is_kernel
Mathlib/CategoryTheory/Abelian/Exact.lean
238
240
theorem exact_iff_exact_image_ι : Exact f g ↔ Exact (Abelian.image.ι f) g := by
conv_lhs => rw [← Abelian.image.fac f] rw [exact_epi_comp_iff]
import Mathlib.LinearAlgebra.AffineSpace.Basis import Mathlib.LinearAlgebra.Matrix.NonsingularInverse #align_import linear_algebra.affine_space.matrix from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Affine Matrix open Set universe u₁ u₂ u₃ u₄ variable {ι : Type u₁} {k : Type u₂} {V : Type u₃} {P : Type u₄} variable [AddCommGroup V] [AffineSpace V P] namespace AffineBasis section Ring variable [Ring k] [Module k V] (b : AffineBasis ι k P) noncomputable def toMatrix {ι' : Type*} (q : ι' → P) : Matrix ι' ι k := fun i j => b.coord j (q i) #align affine_basis.to_matrix AffineBasis.toMatrix @[simp] theorem toMatrix_apply {ι' : Type*} (q : ι' → P) (i : ι') (j : ι) : b.toMatrix q i j = b.coord j (q i) := rfl #align affine_basis.to_matrix_apply AffineBasis.toMatrix_apply @[simp] theorem toMatrix_self [DecidableEq ι] : b.toMatrix b = (1 : Matrix ι ι k) := by ext i j rw [toMatrix_apply, coord_apply, Matrix.one_eq_pi_single, Pi.single_apply] #align affine_basis.to_matrix_self AffineBasis.toMatrix_self variable {ι' : Type*} theorem toMatrix_row_sum_one [Fintype ι] (q : ι' → P) (i : ι') : ∑ j, b.toMatrix q i j = 1 := by simp #align affine_basis.to_matrix_row_sum_one AffineBasis.toMatrix_row_sum_one
Mathlib/LinearAlgebra/AffineSpace/Matrix.lean
61
76
theorem affineIndependent_of_toMatrix_right_inv [Fintype ι] [Finite ι'] [DecidableEq ι'] (p : ι' → P) {A : Matrix ι ι' k} (hA : b.toMatrix p * A = 1) : AffineIndependent k p := by
cases nonempty_fintype ι' rw [affineIndependent_iff_eq_of_fintype_affineCombination_eq] intro w₁ w₂ hw₁ hw₂ hweq have hweq' : w₁ ᵥ* b.toMatrix p = w₂ ᵥ* b.toMatrix p := by ext j change (∑ i, w₁ i • b.coord j (p i)) = ∑ i, w₂ i • b.coord j (p i) -- Porting note: Added `u` because `∘` was causing trouble have u : (fun i => b.coord j (p i)) = b.coord j ∘ p := by simp only [(· ∘ ·)] rw [← Finset.univ.affineCombination_eq_linear_combination _ _ hw₁, ← Finset.univ.affineCombination_eq_linear_combination _ _ hw₂, u, ← Finset.univ.map_affineCombination p w₁ hw₁, ← Finset.univ.map_affineCombination p w₂ hw₂, hweq] replace hweq' := congr_arg (fun w => w ᵥ* A) hweq' simpa only [Matrix.vecMul_vecMul, hA, Matrix.vecMul_one] using hweq'
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm] #align inv_mul_le_iff' inv_mul_le_iff' theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h] #align mul_inv_le_iff mul_inv_le_iff theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by rw [mul_comm, inv_mul_le_iff' h] #align mul_inv_le_iff' mul_inv_le_iff' theorem div_self_le_one (a : α) : a / a ≤ 1 := if h : a = 0 then by simp [h] else by simp [h] #align div_self_le_one div_self_le_one theorem inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_lt_iff' h #align inv_mul_lt_iff inv_mul_lt_iff theorem inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b := by rw [inv_mul_lt_iff h, mul_comm] #align inv_mul_lt_iff' inv_mul_lt_iff' theorem mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c := by rw [mul_comm, inv_mul_lt_iff h] #align mul_inv_lt_iff mul_inv_lt_iff theorem mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b := by rw [mul_comm, inv_mul_lt_iff' h] #align mul_inv_lt_iff' mul_inv_lt_iff' theorem inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a := by rw [inv_eq_one_div] exact div_le_iff ha #align inv_pos_le_iff_one_le_mul inv_pos_le_iff_one_le_mul theorem inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by rw [inv_eq_one_div] exact div_le_iff' ha #align inv_pos_le_iff_one_le_mul' inv_pos_le_iff_one_le_mul' theorem inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a := by rw [inv_eq_one_div] exact div_lt_iff ha #align inv_pos_lt_iff_one_lt_mul inv_pos_lt_iff_one_lt_mul theorem inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b := by rw [inv_eq_one_div] exact div_lt_iff' ha #align inv_pos_lt_iff_one_lt_mul' inv_pos_lt_iff_one_lt_mul' theorem div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c := by rcases eq_or_lt_of_le hb with (rfl | hb') · simp only [div_zero, hc] · rwa [div_le_iff hb'] #align div_le_of_nonneg_of_le_mul div_le_of_nonneg_of_le_mul lemma mul_le_of_nonneg_of_le_div (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ b / c) : a * c ≤ b := by obtain rfl | hc := hc.eq_or_lt · simpa using hb · rwa [le_div_iff hc] at h #align mul_le_of_nonneg_of_le_div mul_le_of_nonneg_of_le_div theorem div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 := div_le_of_nonneg_of_le_mul hb zero_le_one <| by rwa [one_mul] #align div_le_one_of_le div_le_one_of_le lemma mul_inv_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a * b⁻¹ ≤ 1 := by simpa only [← div_eq_mul_inv] using div_le_one_of_le h hb lemma inv_mul_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : b⁻¹ * a ≤ 1 := by simpa only [← div_eq_inv_mul] using div_le_one_of_le h hb @[gcongr] theorem inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := by rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul] #align inv_le_inv_of_le inv_le_inv_of_le theorem inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul] #align inv_le_inv inv_le_inv theorem inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv] #align inv_le inv_le theorem inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a := (inv_le ha ((inv_pos.2 ha).trans_le h)).1 h #align inv_le_of_inv_le inv_le_of_inv_le theorem le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv] #align le_inv le_inv theorem inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a := lt_iff_lt_of_le_iff_le (inv_le_inv hb ha) #align inv_lt_inv inv_lt_inv @[gcongr] theorem inv_lt_inv_of_lt (hb : 0 < b) (h : b < a) : a⁻¹ < b⁻¹ := (inv_lt_inv (hb.trans h) hb).2 h #align inv_lt_inv_of_lt inv_lt_inv_of_lt theorem inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a := lt_iff_lt_of_le_iff_le (le_inv hb ha) #align inv_lt inv_lt theorem inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a := (inv_lt ha ((inv_pos.2 ha).trans h)).1 h #align inv_lt_of_inv_lt inv_lt_of_inv_lt theorem lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ := lt_iff_lt_of_le_iff_le (inv_le hb ha) #align lt_inv lt_inv
Mathlib/Algebra/Order/Field/Basic.lean
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theorem inv_lt_one (ha : 1 < a) : a⁻¹ < 1 := by
rwa [inv_lt (zero_lt_one.trans ha) zero_lt_one, inv_one]
import Mathlib.Analysis.Calculus.Deriv.AffineMap import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.Calculus.Deriv.Mul import Mathlib.Analysis.Calculus.Deriv.Comp import Mathlib.Analysis.Calculus.LocalExtr.Rolle import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.RCLike.Basic #align_import analysis.calculus.mean_value from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics ContinuousLinearMap Filter open scoped Classical Topology NNReal theorem image_le_of_liminf_slope_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) -- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x` (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by change Icc a b ⊆ { x | f x ≤ B x } set s := { x | f x ≤ B x } ∩ Icc a b have A : ContinuousOn (fun x => (f x, B x)) (Icc a b) := hf.prod hB have : IsClosed s := by simp only [s, inter_comm] exact A.preimage_isClosed_of_isClosed isClosed_Icc OrderClosedTopology.isClosed_le' apply this.Icc_subset_of_forall_exists_gt ha rintro x ⟨hxB : f x ≤ B x, xab⟩ y hy cases' hxB.lt_or_eq with hxB hxB · -- If `f x < B x`, then all we need is continuity of both sides refine nonempty_of_mem (inter_mem ?_ (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩)) have : ∀ᶠ x in 𝓝[Icc a b] x, f x < B x := A x (Ico_subset_Icc_self xab) (IsOpen.mem_nhds (isOpen_lt continuous_fst continuous_snd) hxB) have : ∀ᶠ x in 𝓝[>] x, f x < B x := nhdsWithin_le_of_mem (Icc_mem_nhdsWithin_Ioi xab) this exact this.mono fun y => le_of_lt · rcases exists_between (bound x xab hxB) with ⟨r, hfr, hrB⟩ specialize hf' x xab r hfr have HB : ∀ᶠ z in 𝓝[>] x, r < slope B x z := (hasDerivWithinAt_iff_tendsto_slope' <| lt_irrefl x).1 (hB' x xab).Ioi_of_Ici (Ioi_mem_nhds hrB) obtain ⟨z, hfz, hzB, hz⟩ : ∃ z, slope f x z < r ∧ r < slope B x z ∧ z ∈ Ioc x y := (hf'.and_eventually (HB.and (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩))).exists refine ⟨z, ?_, hz⟩ have := (hfz.trans hzB).le rwa [slope_def_field, slope_def_field, div_le_div_right (sub_pos.2 hz.1), hxB, sub_le_sub_iff_right] at this #align image_le_of_liminf_slope_right_lt_deriv_boundary' image_le_of_liminf_slope_right_lt_deriv_boundary' theorem image_le_of_liminf_slope_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) -- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x` (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_liminf_slope_right_lt_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_le_of_liminf_slope_right_lt_deriv_boundary image_le_of_liminf_slope_right_lt_deriv_boundary theorem image_le_of_liminf_slope_right_le_deriv_boundary {f : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) -- `bound` actually says `liminf (f z - f x) / (z - x) ≤ B' x` (bound : ∀ x ∈ Ico a b, ∀ r, B' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by have Hr : ∀ x ∈ Icc a b, ∀ r > 0, f x ≤ B x + r * (x - a) := fun x hx r hr => by apply image_le_of_liminf_slope_right_lt_deriv_boundary' hf bound · rwa [sub_self, mul_zero, add_zero] · exact hB.add (continuousOn_const.mul (continuousOn_id.sub continuousOn_const)) · intro x hx exact (hB' x hx).add (((hasDerivWithinAt_id x (Ici x)).sub_const a).const_mul r) · intro x _ _ rw [mul_one] exact (lt_add_iff_pos_right _).2 hr exact hx intro x hx have : ContinuousWithinAt (fun r => B x + r * (x - a)) (Ioi 0) 0 := continuousWithinAt_const.add (continuousWithinAt_id.mul continuousWithinAt_const) convert continuousWithinAt_const.closure_le _ this (Hr x hx) using 1 <;> simp #align image_le_of_liminf_slope_right_le_deriv_boundary image_le_of_liminf_slope_right_le_deriv_boundary theorem image_le_of_deriv_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_liminf_slope_right_lt_deriv_boundary' hf (fun x hx _ hr => (hf' x hx).liminf_right_slope_le hr) ha hB hB' bound #align image_le_of_deriv_right_lt_deriv_boundary' image_le_of_deriv_right_lt_deriv_boundary' theorem image_le_of_deriv_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_deriv_right_lt_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_le_of_deriv_right_lt_deriv_boundary image_le_of_deriv_right_lt_deriv_boundary theorem image_le_of_deriv_right_le_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, f' x ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_liminf_slope_right_le_deriv_boundary hf ha hB hB' fun x hx _ hr => (hf' x hx).liminf_right_slope_le (lt_of_le_of_lt (bound x hx) hr) #align image_le_of_deriv_right_le_deriv_boundary image_le_of_deriv_right_le_deriv_boundary section variable {f : ℝ → E} {a b : ℝ} theorem image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary {E : Type*} [NormedAddCommGroup E] {f : ℝ → E} {f' : ℝ → ℝ} (hf : ContinuousOn f (Icc a b)) -- `hf'` actually says `liminf (‖f z‖ - ‖f x‖) / (z - x) ≤ f' x` (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope (norm ∘ f) x z < r) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_le_of_liminf_slope_right_lt_deriv_boundary' (continuous_norm.comp_continuousOn hf) hf' ha hB hB' bound #align image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary' {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary hf (fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le hr) ha hB hB' bound #align image_norm_le_of_norm_deriv_right_lt_deriv_boundary' image_norm_le_of_norm_deriv_right_lt_deriv_boundary' theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_norm_le_of_norm_deriv_right_lt_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_norm_le_of_norm_deriv_right_lt_deriv_boundary image_norm_le_of_norm_deriv_right_lt_deriv_boundary theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary' {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_le_of_liminf_slope_right_le_deriv_boundary (continuous_norm.comp_continuousOn hf) ha hB hB' fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le ((bound x hx).trans_lt hr) #align image_norm_le_of_norm_deriv_right_le_deriv_boundary' image_norm_le_of_norm_deriv_right_le_deriv_boundary' theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_norm_le_of_norm_deriv_right_le_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_norm_le_of_norm_deriv_right_le_deriv_boundary image_norm_le_of_norm_deriv_right_le_deriv_boundary theorem norm_image_sub_le_of_norm_deriv_right_le_segment {f' : ℝ → E} {C : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by let g x := f x - f a have hg : ContinuousOn g (Icc a b) := hf.sub continuousOn_const have hg' : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x := by intro x hx simpa using (hf' x hx).sub (hasDerivWithinAt_const _ _ _) let B x := C * (x - a) have hB : ∀ x, HasDerivAt B C x := by intro x simpa using (hasDerivAt_const x C).mul ((hasDerivAt_id x).sub (hasDerivAt_const x a)) convert image_norm_le_of_norm_deriv_right_le_deriv_boundary hg hg' _ hB bound simp only [g, B]; rw [sub_self, norm_zero, sub_self, mul_zero] #align norm_image_sub_le_of_norm_deriv_right_le_segment norm_image_sub_le_of_norm_deriv_right_le_segment theorem norm_image_sub_le_of_norm_deriv_le_segment' {f' : ℝ → E} {C : ℝ} (hf : ∀ x ∈ Icc a b, HasDerivWithinAt f (f' x) (Icc a b) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by refine norm_image_sub_le_of_norm_deriv_right_le_segment (fun x hx => (hf x hx).continuousWithinAt) (fun x hx => ?_) bound exact (hf x <| Ico_subset_Icc_self hx).mono_of_mem (Icc_mem_nhdsWithin_Ici hx) #align norm_image_sub_le_of_norm_deriv_le_segment' norm_image_sub_le_of_norm_deriv_le_segment' theorem norm_image_sub_le_of_norm_deriv_le_segment {C : ℝ} (hf : DifferentiableOn ℝ f (Icc a b)) (bound : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by refine norm_image_sub_le_of_norm_deriv_le_segment' ?_ bound exact fun x hx => (hf x hx).hasDerivWithinAt #align norm_image_sub_le_of_norm_deriv_le_segment norm_image_sub_le_of_norm_deriv_le_segment theorem norm_image_sub_le_of_norm_deriv_le_segment_01' {f' : ℝ → E} {C : ℝ} (hf : ∀ x ∈ Icc (0 : ℝ) 1, HasDerivWithinAt f (f' x) (Icc (0 : ℝ) 1) x) (bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖f' x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by simpa only [sub_zero, mul_one] using norm_image_sub_le_of_norm_deriv_le_segment' hf bound 1 (right_mem_Icc.2 zero_le_one) #align norm_image_sub_le_of_norm_deriv_le_segment_01' norm_image_sub_le_of_norm_deriv_le_segment_01'
Mathlib/Analysis/Calculus/MeanValue.lean
387
391
theorem norm_image_sub_le_of_norm_deriv_le_segment_01 {C : ℝ} (hf : DifferentiableOn ℝ f (Icc (0 : ℝ) 1)) (bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖derivWithin f (Icc (0 : ℝ) 1) x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by
simpa only [sub_zero, mul_one] using norm_image_sub_le_of_norm_deriv_le_segment hf bound 1 (right_mem_Icc.2 zero_le_one)
import Mathlib.Data.ENNReal.Real import Mathlib.Order.Interval.Finset.Nat import Mathlib.Topology.UniformSpace.Pi import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.UniformEmbedding #align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Classical open scoped Uniformity Topology Filter NNReal ENNReal Pointwise universe u v w variable {α : Type u} {β : Type v} {X : Type*} theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β) (D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) : U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } := HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩ #align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity @[ext] class EDist (α : Type*) where edist : α → α → ℝ≥0∞ #align has_edist EDist export EDist (edist) def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0) (edist_comm : ∀ x y : α, edist x y = edist y x) (edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α := .ofFun edist edist_self edist_comm edist_triangle fun ε ε0 => ⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ => (ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩ #align uniform_space_of_edist uniformSpaceOfEDist -- the uniform structure is embedded in the emetric space structure -- to avoid instance diamond issues. See Note [forgetful inheritance]. class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where edist_self : ∀ x : α, edist x x = 0 edist_comm : ∀ x y : α, edist x y = edist y x edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl #align pseudo_emetric_space PseudoEMetricSpace attribute [instance] PseudoEMetricSpace.toUniformSpace @[ext] protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α} (h : m.toEDist = m'.toEDist) : m = m' := by cases' m with ed _ _ _ U hU cases' m' with ed' _ _ _ U' hU' congr 1 exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm) variable [PseudoEMetricSpace α] export PseudoEMetricSpace (edist_self edist_comm edist_triangle) attribute [simp] edist_self theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by rw [edist_comm z]; apply edist_triangle #align edist_triangle_left edist_triangle_left theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by rw [edist_comm y]; apply edist_triangle #align edist_triangle_right edist_triangle_right theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by apply le_antisymm · rw [← zero_add (edist y z), ← h] apply edist_triangle · rw [edist_comm] at h rw [← zero_add (edist x z), ← h] apply edist_triangle #align edist_congr_right edist_congr_right theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by rw [edist_comm z x, edist_comm z y] apply edist_congr_right h #align edist_congr_left edist_congr_left -- new theorem theorem edist_congr {w x y z : α} (hl : edist w x = 0) (hr : edist y z = 0) : edist w y = edist x z := (edist_congr_right hl).trans (edist_congr_left hr) theorem edist_triangle4 (x y z t : α) : edist x t ≤ edist x y + edist y z + edist z t := calc edist x t ≤ edist x z + edist z t := edist_triangle x z t _ ≤ edist x y + edist y z + edist z t := add_le_add_right (edist_triangle x y z) _ #align edist_triangle4 edist_triangle4
Mathlib/Topology/EMetricSpace/Basic.lean
144
153
theorem edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) : edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, edist (f i) (f (i + 1)) := by
induction n, h using Nat.le_induction with | base => rw [Finset.Ico_self, Finset.sum_empty, edist_self] | succ n hle ihn => calc edist (f m) (f (n + 1)) ≤ edist (f m) (f n) + edist (f n) (f (n + 1)) := edist_triangle _ _ _ _ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl _ = ∑ i ∈ Finset.Ico m (n + 1), _ := by { rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp }
import Mathlib.Topology.Connected.Basic import Mathlib.Topology.Separation open scoped Topology variable {X Y A} [TopologicalSpace X] [TopologicalSpace A] theorem embedding_toPullbackDiag (f : X → Y) : Embedding (toPullbackDiag f) := Embedding.mk' _ (injective_toPullbackDiag f) fun x ↦ by rw [toPullbackDiag, nhds_induced, Filter.comap_comap, nhds_prod_eq, Filter.comap_prod] erw [Filter.comap_id, inf_idem] lemma Continuous.mapPullback {X₁ X₂ Y₁ Y₂ Z₁ Z₂} [TopologicalSpace X₁] [TopologicalSpace X₂] [TopologicalSpace Z₁] [TopologicalSpace Z₂] {f₁ : X₁ → Y₁} {g₁ : Z₁ → Y₁} {f₂ : X₂ → Y₂} {g₂ : Z₂ → Y₂} {mapX : X₁ → X₂} (contX : Continuous mapX) {mapY : Y₁ → Y₂} {mapZ : Z₁ → Z₂} (contZ : Continuous mapZ) {commX : f₂ ∘ mapX = mapY ∘ f₁} {commZ : g₂ ∘ mapZ = mapY ∘ g₁} : Continuous (Function.mapPullback mapX mapY mapZ commX commZ) := by refine continuous_induced_rng.mpr (continuous_prod_mk.mpr ⟨?_, ?_⟩) <;> apply_rules [continuous_fst, continuous_snd, continuous_subtype_val, Continuous.comp] def IsSeparatedMap (f : X → Y) : Prop := ∀ x₁ x₂, f x₁ = f x₂ → x₁ ≠ x₂ → ∃ s₁ s₂, IsOpen s₁ ∧ IsOpen s₂ ∧ x₁ ∈ s₁ ∧ x₂ ∈ s₂ ∧ Disjoint s₁ s₂ lemma t2space_iff_isSeparatedMap (y : Y) : T2Space X ↔ IsSeparatedMap fun _ : X ↦ y := ⟨fun ⟨t2⟩ _ _ _ hne ↦ t2 hne, fun sep ↦ ⟨fun x₁ x₂ hne ↦ sep x₁ x₂ rfl hne⟩⟩ lemma T2Space.isSeparatedMap [T2Space X] (f : X → Y) : IsSeparatedMap f := fun _ _ _ ↦ t2_separation lemma Function.Injective.isSeparatedMap {f : X → Y} (inj : f.Injective) : IsSeparatedMap f := fun _ _ he hne ↦ (hne (inj he)).elim lemma isSeparatedMap_iff_disjoint_nhds {f : X → Y} : IsSeparatedMap f ↔ ∀ x₁ x₂, f x₁ = f x₂ → x₁ ≠ x₂ → Disjoint (𝓝 x₁) (𝓝 x₂) := forall₃_congr fun x x' _ ↦ by simp only [(nhds_basis_opens x).disjoint_iff (nhds_basis_opens x'), exists_prop, ← exists_and_left, and_assoc, and_comm, and_left_comm] lemma isSeparatedMap_iff_nhds {f : X → Y} : IsSeparatedMap f ↔ ∀ x₁ x₂, f x₁ = f x₂ → x₁ ≠ x₂ → ∃ s₁ ∈ 𝓝 x₁, ∃ s₂ ∈ 𝓝 x₂, Disjoint s₁ s₂ := by simp_rw [isSeparatedMap_iff_disjoint_nhds, Filter.disjoint_iff] open Set Filter in theorem isSeparatedMap_iff_isClosed_diagonal {f : X → Y} : IsSeparatedMap f ↔ IsClosed f.pullbackDiagonal := by simp_rw [isSeparatedMap_iff_nhds, ← isOpen_compl_iff, isOpen_iff_mem_nhds, Subtype.forall, Prod.forall, nhds_induced, nhds_prod_eq] refine forall₄_congr fun x₁ x₂ _ _ ↦ ⟨fun h ↦ ?_, fun ⟨t, ht, t_sub⟩ ↦ ?_⟩ · simp_rw [← Filter.disjoint_iff, ← compl_diagonal_mem_prod] at h exact ⟨_, h, subset_rfl⟩ · obtain ⟨s₁, h₁, s₂, h₂, s_sub⟩ := mem_prod_iff.mp ht exact ⟨s₁, h₁, s₂, h₂, disjoint_left.2 fun x h₁ h₂ ↦ @t_sub ⟨(x, x), rfl⟩ (s_sub ⟨h₁, h₂⟩) rfl⟩ theorem isSeparatedMap_iff_closedEmbedding {f : X → Y} : IsSeparatedMap f ↔ ClosedEmbedding (toPullbackDiag f) := by rw [isSeparatedMap_iff_isClosed_diagonal, ← range_toPullbackDiag] exact ⟨fun h ↦ ⟨embedding_toPullbackDiag f, h⟩, fun h ↦ h.isClosed_range⟩ theorem isSeparatedMap_iff_isClosedMap {f : X → Y} : IsSeparatedMap f ↔ IsClosedMap (toPullbackDiag f) := isSeparatedMap_iff_closedEmbedding.trans ⟨ClosedEmbedding.isClosedMap, closedEmbedding_of_continuous_injective_closed (embedding_toPullbackDiag f).continuous (injective_toPullbackDiag f)⟩ open Function.Pullback in theorem IsSeparatedMap.pullback {f : X → Y} (sep : IsSeparatedMap f) (g : A → Y) : IsSeparatedMap (@snd X Y A f g) := by rw [isSeparatedMap_iff_isClosed_diagonal] at sep ⊢ rw [← preimage_map_fst_pullbackDiagonal] refine sep.preimage (Continuous.mapPullback ?_ ?_) <;> apply_rules [continuous_fst, continuous_subtype_val, Continuous.comp] theorem IsSeparatedMap.comp_left {f : X → Y} (sep : IsSeparatedMap f) {g : Y → A} (inj : g.Injective) : IsSeparatedMap (g ∘ f) := fun x₁ x₂ he ↦ sep x₁ x₂ (inj he)
Mathlib/Topology/SeparatedMap.lean
111
115
theorem IsSeparatedMap.comp_right {f : X → Y} (sep : IsSeparatedMap f) {g : A → X} (cont : Continuous g) (inj : g.Injective) : IsSeparatedMap (f ∘ g) := by
rw [isSeparatedMap_iff_isClosed_diagonal] at sep ⊢ rw [← inj.preimage_pullbackDiagonal] exact sep.preimage (cont.mapPullback cont)
import Mathlib.RingTheory.RootsOfUnity.Basic import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed import Mathlib.Algebra.GCDMonoid.IntegrallyClosed import Mathlib.FieldTheory.Finite.Basic #align_import ring_theory.roots_of_unity.minpoly from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" open minpoly Polynomial open scoped Polynomial namespace IsPrimitiveRoot section CommRing variable {n : ℕ} {K : Type*} [CommRing K] {μ : K} (h : IsPrimitiveRoot μ n) -- Porting note: `hpos` was in the `variable` line, with an `omit` in mathlib3 just after this -- declaration. For some reason, in Lean4, `hpos` gets included also in the declarations below, -- even if it is not used in the proof. theorem isIntegral (hpos : 0 < n) : IsIntegral ℤ μ := by use X ^ n - 1 constructor · exact monic_X_pow_sub_C 1 (ne_of_lt hpos).symm · simp only [((IsPrimitiveRoot.iff_def μ n).mp h).left, eval₂_one, eval₂_X_pow, eval₂_sub, sub_self] #align is_primitive_root.is_integral IsPrimitiveRoot.isIntegral section IsDomain variable [IsDomain K] [CharZero K] theorem minpoly_dvd_x_pow_sub_one : minpoly ℤ μ ∣ X ^ n - 1 := by rcases n.eq_zero_or_pos with (rfl | h0) · simp apply minpoly.isIntegrallyClosed_dvd (isIntegral h h0) simp only [((IsPrimitiveRoot.iff_def μ n).mp h).left, aeval_X_pow, eq_intCast, Int.cast_one, aeval_one, AlgHom.map_sub, sub_self] set_option linter.uppercaseLean3 false in #align is_primitive_root.minpoly_dvd_X_pow_sub_one IsPrimitiveRoot.minpoly_dvd_x_pow_sub_one
Mathlib/RingTheory/RootsOfUnity/Minpoly.lean
63
71
theorem separable_minpoly_mod {p : ℕ} [Fact p.Prime] (hdiv : ¬p ∣ n) : Separable (map (Int.castRingHom (ZMod p)) (minpoly ℤ μ)) := by
have hdvd : map (Int.castRingHom (ZMod p)) (minpoly ℤ μ) ∣ X ^ n - 1 := by convert RingHom.map_dvd (mapRingHom (Int.castRingHom (ZMod p))) (minpoly_dvd_x_pow_sub_one h) simp only [map_sub, map_pow, coe_mapRingHom, map_X, map_one] refine Separable.of_dvd (separable_X_pow_sub_C 1 ?_ one_ne_zero) hdvd by_contra hzero exact hdiv ((ZMod.natCast_zmod_eq_zero_iff_dvd n p).1 hzero)
import Mathlib.Algebra.Polynomial.Smeval import Mathlib.GroupTheory.GroupAction.Ring import Mathlib.RingTheory.Polynomial.Pochhammer section Multichoose open Function Polynomial class BinomialRing (R : Type*) [AddCommMonoid R] [Pow R ℕ] where nsmul_right_injective (n : ℕ) (h : n ≠ 0) : Injective (n • · : R → R) multichoose : R → ℕ → R factorial_nsmul_multichoose (r : R) (n : ℕ) : n.factorial • multichoose r n = (ascPochhammer ℕ n).smeval r section Pochhammer namespace Polynomial theorem ascPochhammer_smeval_cast (R : Type*) [Semiring R] {S : Type*} [NonAssocSemiring S] [Pow S ℕ] [Module R S] [IsScalarTower R S S] [NatPowAssoc S] (x : S) (n : ℕ) : (ascPochhammer R n).smeval x = (ascPochhammer ℕ n).smeval x := by induction' n with n hn · simp only [Nat.zero_eq, ascPochhammer_zero, smeval_one, one_smul] · simp only [ascPochhammer_succ_right, mul_add, smeval_add, smeval_mul_X, ← Nat.cast_comm] simp only [← C_eq_natCast, smeval_C_mul, hn, ← nsmul_eq_smul_cast R n] exact rfl variable {R S : Type*}
Mathlib/RingTheory/Binomial.lean
101
103
theorem ascPochhammer_smeval_eq_eval [Semiring R] (r : R) (n : ℕ) : (ascPochhammer ℕ n).smeval r = (ascPochhammer R n).eval r := by
rw [eval_eq_smeval, ascPochhammer_smeval_cast R]
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm] #align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm theorem hasFiniteIntegral_iff_edist (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right] #align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h] #align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} : HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by simp [hasFiniteIntegral_iff_norm] #align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by simp only [hasFiniteIntegral_iff_norm] at * calc (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ := lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h) _ < ∞ := hg #align measure_theory.has_finite_integral.mono MeasureTheory.HasFiniteIntegral.mono theorem HasFiniteIntegral.mono' {f : α → β} {g : α → ℝ} (hg : HasFiniteIntegral g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : HasFiniteIntegral f μ := hg.mono <| h.mono fun _x hx => le_trans hx (le_abs_self _) #align measure_theory.has_finite_integral.mono' MeasureTheory.HasFiniteIntegral.mono' theorem HasFiniteIntegral.congr' {f : α → β} {g : α → γ} (hf : HasFiniteIntegral f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral g μ := hf.mono <| EventuallyEq.le <| EventuallyEq.symm h #align measure_theory.has_finite_integral.congr' MeasureTheory.HasFiniteIntegral.congr' theorem hasFiniteIntegral_congr' {f : α → β} {g : α → γ} (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ := ⟨fun hf => hf.congr' h, fun hg => hg.congr' <| EventuallyEq.symm h⟩ #align measure_theory.has_finite_integral_congr' MeasureTheory.hasFiniteIntegral_congr' theorem HasFiniteIntegral.congr {f g : α → β} (hf : HasFiniteIntegral f μ) (h : f =ᵐ[μ] g) : HasFiniteIntegral g μ := hf.congr' <| h.fun_comp norm #align measure_theory.has_finite_integral.congr MeasureTheory.HasFiniteIntegral.congr theorem hasFiniteIntegral_congr {f g : α → β} (h : f =ᵐ[μ] g) : HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ := hasFiniteIntegral_congr' <| h.fun_comp norm #align measure_theory.has_finite_integral_congr MeasureTheory.hasFiniteIntegral_congr theorem hasFiniteIntegral_const_iff {c : β} : HasFiniteIntegral (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by simp [HasFiniteIntegral, lintegral_const, lt_top_iff_ne_top, ENNReal.mul_eq_top, or_iff_not_imp_left] #align measure_theory.has_finite_integral_const_iff MeasureTheory.hasFiniteIntegral_const_iff theorem hasFiniteIntegral_const [IsFiniteMeasure μ] (c : β) : HasFiniteIntegral (fun _ : α => c) μ := hasFiniteIntegral_const_iff.2 (Or.inr <| measure_lt_top _ _) #align measure_theory.has_finite_integral_const MeasureTheory.hasFiniteIntegral_const theorem hasFiniteIntegral_of_bounded [IsFiniteMeasure μ] {f : α → β} {C : ℝ} (hC : ∀ᵐ a ∂μ, ‖f a‖ ≤ C) : HasFiniteIntegral f μ := (hasFiniteIntegral_const C).mono' hC #align measure_theory.has_finite_integral_of_bounded MeasureTheory.hasFiniteIntegral_of_bounded theorem HasFiniteIntegral.of_finite [Finite α] [IsFiniteMeasure μ] {f : α → β} : HasFiniteIntegral f μ := let ⟨_⟩ := nonempty_fintype α hasFiniteIntegral_of_bounded <| ae_of_all μ <| norm_le_pi_norm f @[deprecated (since := "2024-02-05")] alias hasFiniteIntegral_of_fintype := HasFiniteIntegral.of_finite theorem HasFiniteIntegral.mono_measure {f : α → β} (h : HasFiniteIntegral f ν) (hμ : μ ≤ ν) : HasFiniteIntegral f μ := lt_of_le_of_lt (lintegral_mono' hμ le_rfl) h #align measure_theory.has_finite_integral.mono_measure MeasureTheory.HasFiniteIntegral.mono_measure theorem HasFiniteIntegral.add_measure {f : α → β} (hμ : HasFiniteIntegral f μ) (hν : HasFiniteIntegral f ν) : HasFiniteIntegral f (μ + ν) := by simp only [HasFiniteIntegral, lintegral_add_measure] at * exact add_lt_top.2 ⟨hμ, hν⟩ #align measure_theory.has_finite_integral.add_measure MeasureTheory.HasFiniteIntegral.add_measure theorem HasFiniteIntegral.left_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) : HasFiniteIntegral f μ := h.mono_measure <| Measure.le_add_right <| le_rfl #align measure_theory.has_finite_integral.left_of_add_measure MeasureTheory.HasFiniteIntegral.left_of_add_measure theorem HasFiniteIntegral.right_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) : HasFiniteIntegral f ν := h.mono_measure <| Measure.le_add_left <| le_rfl #align measure_theory.has_finite_integral.right_of_add_measure MeasureTheory.HasFiniteIntegral.right_of_add_measure @[simp] theorem hasFiniteIntegral_add_measure {f : α → β} : HasFiniteIntegral f (μ + ν) ↔ HasFiniteIntegral f μ ∧ HasFiniteIntegral f ν := ⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩ #align measure_theory.has_finite_integral_add_measure MeasureTheory.hasFiniteIntegral_add_measure theorem HasFiniteIntegral.smul_measure {f : α → β} (h : HasFiniteIntegral f μ) {c : ℝ≥0∞} (hc : c ≠ ∞) : HasFiniteIntegral f (c • μ) := by simp only [HasFiniteIntegral, lintegral_smul_measure] at * exact mul_lt_top hc h.ne #align measure_theory.has_finite_integral.smul_measure MeasureTheory.HasFiniteIntegral.smul_measure @[simp] theorem hasFiniteIntegral_zero_measure {m : MeasurableSpace α} (f : α → β) : HasFiniteIntegral f (0 : Measure α) := by simp only [HasFiniteIntegral, lintegral_zero_measure, zero_lt_top] #align measure_theory.has_finite_integral_zero_measure MeasureTheory.hasFiniteIntegral_zero_measure variable (α β μ) @[simp] theorem hasFiniteIntegral_zero : HasFiniteIntegral (fun _ : α => (0 : β)) μ := by simp [HasFiniteIntegral] #align measure_theory.has_finite_integral_zero MeasureTheory.hasFiniteIntegral_zero variable {α β μ} theorem HasFiniteIntegral.neg {f : α → β} (hfi : HasFiniteIntegral f μ) : HasFiniteIntegral (-f) μ := by simpa [HasFiniteIntegral] using hfi #align measure_theory.has_finite_integral.neg MeasureTheory.HasFiniteIntegral.neg @[simp] theorem hasFiniteIntegral_neg_iff {f : α → β} : HasFiniteIntegral (-f) μ ↔ HasFiniteIntegral f μ := ⟨fun h => neg_neg f ▸ h.neg, HasFiniteIntegral.neg⟩ #align measure_theory.has_finite_integral_neg_iff MeasureTheory.hasFiniteIntegral_neg_iff theorem HasFiniteIntegral.norm {f : α → β} (hfi : HasFiniteIntegral f μ) : HasFiniteIntegral (fun a => ‖f a‖) μ := by have eq : (fun a => (nnnorm ‖f a‖ : ℝ≥0∞)) = fun a => (‖f a‖₊ : ℝ≥0∞) := by funext rw [nnnorm_norm] rwa [HasFiniteIntegral, eq] #align measure_theory.has_finite_integral.norm MeasureTheory.HasFiniteIntegral.norm theorem hasFiniteIntegral_norm_iff (f : α → β) : HasFiniteIntegral (fun a => ‖f a‖) μ ↔ HasFiniteIntegral f μ := hasFiniteIntegral_congr' <| eventually_of_forall fun x => norm_norm (f x) #align measure_theory.has_finite_integral_norm_iff MeasureTheory.hasFiniteIntegral_norm_iff theorem hasFiniteIntegral_toReal_of_lintegral_ne_top {f : α → ℝ≥0∞} (hf : (∫⁻ x, f x ∂μ) ≠ ∞) : HasFiniteIntegral (fun x => (f x).toReal) μ := by have : ∀ x, (‖(f x).toReal‖₊ : ℝ≥0∞) = ENNReal.ofNNReal ⟨(f x).toReal, ENNReal.toReal_nonneg⟩ := by intro x rw [Real.nnnorm_of_nonneg] simp_rw [HasFiniteIntegral, this] refine lt_of_le_of_lt (lintegral_mono fun x => ?_) (lt_top_iff_ne_top.2 hf) by_cases hfx : f x = ∞ · simp [hfx] · lift f x to ℝ≥0 using hfx with fx h simp [← h, ← NNReal.coe_le_coe] #align measure_theory.has_finite_integral_to_real_of_lintegral_ne_top MeasureTheory.hasFiniteIntegral_toReal_of_lintegral_ne_top theorem isFiniteMeasure_withDensity_ofReal {f : α → ℝ} (hfi : HasFiniteIntegral f μ) : IsFiniteMeasure (μ.withDensity fun x => ENNReal.ofReal <| f x) := by refine isFiniteMeasure_withDensity ((lintegral_mono fun x => ?_).trans_lt hfi).ne exact Real.ofReal_le_ennnorm (f x) #align measure_theory.is_finite_measure_with_density_of_real MeasureTheory.isFiniteMeasure_withDensity_ofReal -- variable [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ] def Integrable {α} {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := AEStronglyMeasurable f μ ∧ HasFiniteIntegral f μ #align measure_theory.integrable MeasureTheory.Integrable theorem memℒp_one_iff_integrable {f : α → β} : Memℒp f 1 μ ↔ Integrable f μ := by simp_rw [Integrable, HasFiniteIntegral, Memℒp, snorm_one_eq_lintegral_nnnorm] #align measure_theory.mem_ℒp_one_iff_integrable MeasureTheory.memℒp_one_iff_integrable theorem Integrable.aestronglyMeasurable {f : α → β} (hf : Integrable f μ) : AEStronglyMeasurable f μ := hf.1 #align measure_theory.integrable.ae_strongly_measurable MeasureTheory.Integrable.aestronglyMeasurable theorem Integrable.aemeasurable [MeasurableSpace β] [BorelSpace β] {f : α → β} (hf : Integrable f μ) : AEMeasurable f μ := hf.aestronglyMeasurable.aemeasurable #align measure_theory.integrable.ae_measurable MeasureTheory.Integrable.aemeasurable theorem Integrable.hasFiniteIntegral {f : α → β} (hf : Integrable f μ) : HasFiniteIntegral f μ := hf.2 #align measure_theory.integrable.has_finite_integral MeasureTheory.Integrable.hasFiniteIntegral theorem Integrable.mono {f : α → β} {g : α → γ} (hg : Integrable g μ) (hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : Integrable f μ := ⟨hf, hg.hasFiniteIntegral.mono h⟩ #align measure_theory.integrable.mono MeasureTheory.Integrable.mono theorem Integrable.mono' {f : α → β} {g : α → ℝ} (hg : Integrable g μ) (hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : Integrable f μ := ⟨hf, hg.hasFiniteIntegral.mono' h⟩ #align measure_theory.integrable.mono' MeasureTheory.Integrable.mono' theorem Integrable.congr' {f : α → β} {g : α → γ} (hf : Integrable f μ) (hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : Integrable g μ := ⟨hg, hf.hasFiniteIntegral.congr' h⟩ #align measure_theory.integrable.congr' MeasureTheory.Integrable.congr' theorem integrable_congr' {f : α → β} {g : α → γ} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : Integrable f μ ↔ Integrable g μ := ⟨fun h2f => h2f.congr' hg h, fun h2g => h2g.congr' hf <| EventuallyEq.symm h⟩ #align measure_theory.integrable_congr' MeasureTheory.integrable_congr' theorem Integrable.congr {f g : α → β} (hf : Integrable f μ) (h : f =ᵐ[μ] g) : Integrable g μ := ⟨hf.1.congr h, hf.2.congr h⟩ #align measure_theory.integrable.congr MeasureTheory.Integrable.congr theorem integrable_congr {f g : α → β} (h : f =ᵐ[μ] g) : Integrable f μ ↔ Integrable g μ := ⟨fun hf => hf.congr h, fun hg => hg.congr h.symm⟩ #align measure_theory.integrable_congr MeasureTheory.integrable_congr theorem integrable_const_iff {c : β} : Integrable (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by have : AEStronglyMeasurable (fun _ : α => c) μ := aestronglyMeasurable_const rw [Integrable, and_iff_right this, hasFiniteIntegral_const_iff] #align measure_theory.integrable_const_iff MeasureTheory.integrable_const_iff @[simp] theorem integrable_const [IsFiniteMeasure μ] (c : β) : Integrable (fun _ : α => c) μ := integrable_const_iff.2 <| Or.inr <| measure_lt_top _ _ #align measure_theory.integrable_const MeasureTheory.integrable_const @[simp] theorem Integrable.of_finite [Finite α] [MeasurableSpace α] [MeasurableSingletonClass α] (μ : Measure α) [IsFiniteMeasure μ] (f : α → β) : Integrable (fun a ↦ f a) μ := ⟨(StronglyMeasurable.of_finite f).aestronglyMeasurable, .of_finite⟩ @[deprecated (since := "2024-02-05")] alias integrable_of_fintype := Integrable.of_finite theorem Memℒp.integrable_norm_rpow {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) : Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by rw [← memℒp_one_iff_integrable] exact hf.norm_rpow hp_ne_zero hp_ne_top #align measure_theory.mem_ℒp.integrable_norm_rpow MeasureTheory.Memℒp.integrable_norm_rpow theorem Memℒp.integrable_norm_rpow' [IsFiniteMeasure μ] {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) : Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by by_cases h_zero : p = 0 · simp [h_zero, integrable_const] by_cases h_top : p = ∞ · simp [h_top, integrable_const] exact hf.integrable_norm_rpow h_zero h_top #align measure_theory.mem_ℒp.integrable_norm_rpow' MeasureTheory.Memℒp.integrable_norm_rpow' theorem Integrable.mono_measure {f : α → β} (h : Integrable f ν) (hμ : μ ≤ ν) : Integrable f μ := ⟨h.aestronglyMeasurable.mono_measure hμ, h.hasFiniteIntegral.mono_measure hμ⟩ #align measure_theory.integrable.mono_measure MeasureTheory.Integrable.mono_measure theorem Integrable.of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (hμ'_le : μ' ≤ c • μ) {f : α → β} (hf : Integrable f μ) : Integrable f μ' := by rw [← memℒp_one_iff_integrable] at hf ⊢ exact hf.of_measure_le_smul c hc hμ'_le #align measure_theory.integrable.of_measure_le_smul MeasureTheory.Integrable.of_measure_le_smul theorem Integrable.add_measure {f : α → β} (hμ : Integrable f μ) (hν : Integrable f ν) : Integrable f (μ + ν) := by simp_rw [← memℒp_one_iff_integrable] at hμ hν ⊢ refine ⟨hμ.aestronglyMeasurable.add_measure hν.aestronglyMeasurable, ?_⟩ rw [snorm_one_add_measure, ENNReal.add_lt_top] exact ⟨hμ.snorm_lt_top, hν.snorm_lt_top⟩ #align measure_theory.integrable.add_measure MeasureTheory.Integrable.add_measure theorem Integrable.left_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) : Integrable f μ := by rw [← memℒp_one_iff_integrable] at h ⊢ exact h.left_of_add_measure #align measure_theory.integrable.left_of_add_measure MeasureTheory.Integrable.left_of_add_measure
Mathlib/MeasureTheory/Function/L1Space.lean
543
546
theorem Integrable.right_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) : Integrable f ν := by
rw [← memℒp_one_iff_integrable] at h ⊢ exact h.right_of_add_measure
import Batteries.Classes.Order namespace Batteries.PairingHeapImp inductive Heap (α : Type u) where | nil : Heap α | node (a : α) (child sibling : Heap α) : Heap α deriving Repr def Heap.size : Heap α → Nat | .nil => 0 | .node _ c s => c.size + 1 + s.size def Heap.singleton (a : α) : Heap α := .node a .nil .nil def Heap.isEmpty : Heap α → Bool | .nil => true | _ => false @[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α | .nil, .nil => .nil | .nil, .node a₂ c₂ _ => .node a₂ c₂ .nil | .node a₁ c₁ _, .nil => .node a₁ c₁ .nil | .node a₁ c₁ _, .node a₂ c₂ _ => if le a₁ a₂ then .node a₁ (.node a₂ c₂ c₁) .nil else .node a₂ (.node a₁ c₁ c₂) .nil @[specialize] def Heap.combine (le : α → α → Bool) : Heap α → Heap α | h₁@(.node _ _ h₂@(.node _ _ s)) => merge le (merge le h₁ h₂) (s.combine le) | h => h @[inline] def Heap.headD (a : α) : Heap α → α | .nil => a | .node a _ _ => a @[inline] def Heap.head? : Heap α → Option α | .nil => none | .node a _ _ => some a @[inline] def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α) | .nil => none | .node a c _ => (a, combine le c) @[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) := deleteMin le h |>.map (·.snd) @[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α := tail? le h |>.getD .nil inductive Heap.NoSibling : Heap α → Prop | nil : NoSibling .nil | node (a c) : NoSibling (.node a c .nil) instance : Decidable (Heap.NoSibling s) := match s with | .nil => isTrue .nil | .node a c .nil => isTrue (.node a c) | .node _ _ (.node _ _ _) => isFalse nofun theorem Heap.noSibling_merge (le) (s₁ s₂ : Heap α) : (s₁.merge le s₂).NoSibling := by unfold merge (split <;> try split) <;> constructor theorem Heap.noSibling_combine (le) (s : Heap α) : (s.combine le).NoSibling := by unfold combine; split · exact noSibling_merge _ _ _ · match s with | nil | node _ _ nil => constructor | node _ _ (node _ _ s) => rename_i h; exact (h _ _ _ _ _ rfl).elim theorem Heap.noSibling_deleteMin {s : Heap α} (eq : s.deleteMin le = some (a, s')) : s'.NoSibling := by cases s with cases eq | node a c => exact noSibling_combine _ _ theorem Heap.noSibling_tail? {s : Heap α} : s.tail? le = some s' → s'.NoSibling := by simp only [Heap.tail?]; intro eq match eq₂ : s.deleteMin le, eq with | some (a, tl), rfl => exact noSibling_deleteMin eq₂ theorem Heap.noSibling_tail (le) (s : Heap α) : (s.tail le).NoSibling := by simp only [Heap.tail] match eq : s.tail? le with | none => cases s with cases eq | nil => constructor | some tl => exact Heap.noSibling_tail? eq theorem Heap.size_merge_node (le) (a₁ : α) (c₁ s₁ : Heap α) (a₂ : α) (c₂ s₂ : Heap α) : (merge le (.node a₁ c₁ s₁) (.node a₂ c₂ s₂)).size = c₁.size + c₂.size + 2 := by unfold merge; dsimp; split <;> simp_arith [size] theorem Heap.size_merge (le) {s₁ s₂ : Heap α} (h₁ : s₁.NoSibling) (h₂ : s₂.NoSibling) : (merge le s₁ s₂).size = s₁.size + s₂.size := by match h₁, h₂ with | .nil, .nil | .nil, .node _ _ | .node _ _, .nil => simp [size] | .node _ _, .node _ _ => unfold merge; dsimp; split <;> simp_arith [size] theorem Heap.size_combine (le) (s : Heap α) : (s.combine le).size = s.size := by unfold combine; split · rename_i a₁ c₁ a₂ c₂ s rw [size_merge le (noSibling_merge _ _ _) (noSibling_combine _ _), size_merge_node, size_combine le s] simp_arith [size] · rfl theorem Heap.size_deleteMin {s : Heap α} (h : s.NoSibling) (eq : s.deleteMin le = some (a, s')) : s.size = s'.size + 1 := by cases h with cases eq | node a c => rw [size_combine, size, size] theorem Heap.size_tail? {s : Heap α} (h : s.NoSibling) : s.tail? le = some s' → s.size = s'.size + 1 := by simp only [Heap.tail?]; intro eq match eq₂ : s.deleteMin le, eq with | some (a, tl), rfl => exact size_deleteMin h eq₂ theorem Heap.size_tail (le) {s : Heap α} (h : s.NoSibling) : (s.tail le).size = s.size - 1 := by simp only [Heap.tail] match eq : s.tail? le with | none => cases s with cases eq | nil => rfl | some tl => simp [Heap.size_tail? h eq] theorem Heap.size_deleteMin_lt {s : Heap α} (eq : s.deleteMin le = some (a, s')) : s'.size < s.size := by cases s with cases eq | node a c => simp_arith [size_combine, size]
.lake/packages/batteries/Batteries/Data/PairingHeap.lean
158
162
theorem Heap.size_tail?_lt {s : Heap α} : s.tail? le = some s' → s'.size < s.size := by
simp only [Heap.tail?]; intro eq match eq₂ : s.deleteMin le, eq with | some (a, tl), rfl => exact size_deleteMin_lt eq₂
import Mathlib.Probability.Kernel.MeasurableIntegral import Mathlib.MeasureTheory.Integral.SetIntegral #align_import probability.kernel.with_density from "leanprover-community/mathlib"@"c0d694db494dd4f9aa57f2714b6e4c82b4ebc113" open MeasureTheory ProbabilityTheory open scoped MeasureTheory ENNReal NNReal namespace ProbabilityTheory.kernel variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} variable {κ : kernel α β} {f : α → β → ℝ≥0∞} noncomputable def withDensity (κ : kernel α β) [IsSFiniteKernel κ] (f : α → β → ℝ≥0∞) : kernel α β := @dite _ (Measurable (Function.uncurry f)) (Classical.dec _) (fun hf => (⟨fun a => (κ a).withDensity (f a), by refine Measure.measurable_of_measurable_coe _ fun s hs => ?_ simp_rw [withDensity_apply _ hs] exact hf.set_lintegral_kernel_prod_right hs⟩ : kernel α β)) fun _ => 0 #align probability_theory.kernel.with_density ProbabilityTheory.kernel.withDensity theorem withDensity_of_not_measurable (κ : kernel α β) [IsSFiniteKernel κ] (hf : ¬Measurable (Function.uncurry f)) : withDensity κ f = 0 := by classical exact dif_neg hf #align probability_theory.kernel.with_density_of_not_measurable ProbabilityTheory.kernel.withDensity_of_not_measurable protected theorem withDensity_apply (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable (Function.uncurry f)) (a : α) : withDensity κ f a = (κ a).withDensity (f a) := by classical rw [withDensity, dif_pos hf] rfl #align probability_theory.kernel.with_density_apply ProbabilityTheory.kernel.withDensity_apply protected theorem withDensity_apply' (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable (Function.uncurry f)) (a : α) (s : Set β) : withDensity κ f a s = ∫⁻ b in s, f a b ∂κ a := by rw [kernel.withDensity_apply κ hf, withDensity_apply' _ s] #align probability_theory.kernel.with_density_apply' ProbabilityTheory.kernel.withDensity_apply' nonrec lemma withDensity_congr_ae (κ : kernel α β) [IsSFiniteKernel κ] {f g : α → β → ℝ≥0∞} (hf : Measurable (Function.uncurry f)) (hg : Measurable (Function.uncurry g)) (hfg : ∀ a, f a =ᵐ[κ a] g a) : withDensity κ f = withDensity κ g := by ext a rw [kernel.withDensity_apply _ hf,kernel.withDensity_apply _ hg, withDensity_congr_ae (hfg a)] nonrec lemma withDensity_absolutelyContinuous [IsSFiniteKernel κ] (f : α → β → ℝ≥0∞) (a : α) : kernel.withDensity κ f a ≪ κ a := by by_cases hf : Measurable (Function.uncurry f) · rw [kernel.withDensity_apply _ hf] exact withDensity_absolutelyContinuous _ _ · rw [withDensity_of_not_measurable _ hf] simp [Measure.AbsolutelyContinuous.zero] @[simp] lemma withDensity_one (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ 1 = κ := by ext; rw [kernel.withDensity_apply _ measurable_const]; simp @[simp] lemma withDensity_one' (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ (fun _ _ ↦ 1) = κ := kernel.withDensity_one _ @[simp] lemma withDensity_zero (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ 0 = 0 := by ext; rw [kernel.withDensity_apply _ measurable_const]; simp @[simp] lemma withDensity_zero' (κ : kernel α β) [IsSFiniteKernel κ] : kernel.withDensity κ (fun _ _ ↦ 0) = 0 := kernel.withDensity_zero _
Mathlib/Probability/Kernel/WithDensity.lean
108
113
theorem lintegral_withDensity (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable (Function.uncurry f)) (a : α) {g : β → ℝ≥0∞} (hg : Measurable g) : ∫⁻ b, g b ∂withDensity κ f a = ∫⁻ b, f a b * g b ∂κ a := by
rw [kernel.withDensity_apply _ hf, lintegral_withDensity_eq_lintegral_mul _ (Measurable.of_uncurry_left hf) hg] simp_rw [Pi.mul_apply]
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]
Mathlib/Data/Ordmap/Ordset.lean
157
157
theorem size_dual (t : Ordnode α) : size (dual t) = size t := by
cases t <;> rfl
import Mathlib.Logic.Equiv.Fin import Mathlib.Topology.DenseEmbedding import Mathlib.Topology.Support import Mathlib.Topology.Connected.LocallyConnected #align_import topology.homeomorph from "leanprover-community/mathlib"@"4c3e1721c58ef9087bbc2c8c38b540f70eda2e53" open Set Filter open Topology variable {X : Type*} {Y : Type*} {Z : Type*} -- not all spaces are homeomorphic to each other structure Homeomorph (X : Type*) (Y : Type*) [TopologicalSpace X] [TopologicalSpace Y] extends X ≃ Y where continuous_toFun : Continuous toFun := by continuity continuous_invFun : Continuous invFun := by continuity #align homeomorph Homeomorph @[inherit_doc] infixl:25 " ≃ₜ " => Homeomorph namespace Homeomorph variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] {X' Y' : Type*} [TopologicalSpace X'] [TopologicalSpace Y'] theorem toEquiv_injective : Function.Injective (toEquiv : X ≃ₜ Y → X ≃ Y) | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl #align homeomorph.to_equiv_injective Homeomorph.toEquiv_injective instance : EquivLike (X ≃ₜ Y) X Y where coe := fun h => h.toEquiv inv := fun h => h.toEquiv.symm left_inv := fun h => h.left_inv right_inv := fun h => h.right_inv coe_injective' := fun _ _ H _ => toEquiv_injective <| DFunLike.ext' H instance : CoeFun (X ≃ₜ Y) fun _ ↦ X → Y := ⟨DFunLike.coe⟩ @[simp] theorem homeomorph_mk_coe (a : X ≃ Y) (b c) : (Homeomorph.mk a b c : X → Y) = a := rfl #align homeomorph.homeomorph_mk_coe Homeomorph.homeomorph_mk_coe protected def empty [IsEmpty X] [IsEmpty Y] : X ≃ₜ Y where __ := Equiv.equivOfIsEmpty X Y @[symm] protected def symm (h : X ≃ₜ Y) : Y ≃ₜ X where continuous_toFun := h.continuous_invFun continuous_invFun := h.continuous_toFun toEquiv := h.toEquiv.symm #align homeomorph.symm Homeomorph.symm @[simp] theorem symm_symm (h : X ≃ₜ Y) : h.symm.symm = h := rfl #align homeomorph.symm_symm Homeomorph.symm_symm theorem symm_bijective : Function.Bijective (Homeomorph.symm : (X ≃ₜ Y) → Y ≃ₜ X) := Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩ def Simps.symm_apply (h : X ≃ₜ Y) : Y → X := h.symm #align homeomorph.simps.symm_apply Homeomorph.Simps.symm_apply initialize_simps_projections Homeomorph (toFun → apply, invFun → symm_apply) @[simp] theorem coe_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv = h := rfl #align homeomorph.coe_to_equiv Homeomorph.coe_toEquiv @[simp] theorem coe_symm_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv.symm = h.symm := rfl #align homeomorph.coe_symm_to_equiv Homeomorph.coe_symm_toEquiv @[ext] theorem ext {h h' : X ≃ₜ Y} (H : ∀ x, h x = h' x) : h = h' := DFunLike.ext _ _ H #align homeomorph.ext Homeomorph.ext @[simps! (config := .asFn) apply] protected def refl (X : Type*) [TopologicalSpace X] : X ≃ₜ X where continuous_toFun := continuous_id continuous_invFun := continuous_id toEquiv := Equiv.refl X #align homeomorph.refl Homeomorph.refl @[trans] protected def trans (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) : X ≃ₜ Z where continuous_toFun := h₂.continuous_toFun.comp h₁.continuous_toFun continuous_invFun := h₁.continuous_invFun.comp h₂.continuous_invFun toEquiv := Equiv.trans h₁.toEquiv h₂.toEquiv #align homeomorph.trans Homeomorph.trans @[simp] theorem trans_apply (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) (x : X) : h₁.trans h₂ x = h₂ (h₁ x) := rfl #align homeomorph.trans_apply Homeomorph.trans_apply @[simp] theorem symm_trans_apply (f : X ≃ₜ Y) (g : Y ≃ₜ Z) (z : Z) : (f.trans g).symm z = f.symm (g.symm z) := rfl @[simp] theorem homeomorph_mk_coe_symm (a : X ≃ Y) (b c) : ((Homeomorph.mk a b c).symm : Y → X) = a.symm := rfl #align homeomorph.homeomorph_mk_coe_symm Homeomorph.homeomorph_mk_coe_symm @[simp] theorem refl_symm : (Homeomorph.refl X).symm = Homeomorph.refl X := rfl #align homeomorph.refl_symm Homeomorph.refl_symm @[continuity] protected theorem continuous (h : X ≃ₜ Y) : Continuous h := h.continuous_toFun #align homeomorph.continuous Homeomorph.continuous -- otherwise `by continuity` can't prove continuity of `h.to_equiv.symm` @[continuity] protected theorem continuous_symm (h : X ≃ₜ Y) : Continuous h.symm := h.continuous_invFun #align homeomorph.continuous_symm Homeomorph.continuous_symm @[simp] theorem apply_symm_apply (h : X ≃ₜ Y) (y : Y) : h (h.symm y) = y := h.toEquiv.apply_symm_apply y #align homeomorph.apply_symm_apply Homeomorph.apply_symm_apply @[simp] theorem symm_apply_apply (h : X ≃ₜ Y) (x : X) : h.symm (h x) = x := h.toEquiv.symm_apply_apply x #align homeomorph.symm_apply_apply Homeomorph.symm_apply_apply @[simp] theorem self_trans_symm (h : X ≃ₜ Y) : h.trans h.symm = Homeomorph.refl X := by ext apply symm_apply_apply #align homeomorph.self_trans_symm Homeomorph.self_trans_symm @[simp] theorem symm_trans_self (h : X ≃ₜ Y) : h.symm.trans h = Homeomorph.refl Y := by ext apply apply_symm_apply #align homeomorph.symm_trans_self Homeomorph.symm_trans_self protected theorem bijective (h : X ≃ₜ Y) : Function.Bijective h := h.toEquiv.bijective #align homeomorph.bijective Homeomorph.bijective protected theorem injective (h : X ≃ₜ Y) : Function.Injective h := h.toEquiv.injective #align homeomorph.injective Homeomorph.injective protected theorem surjective (h : X ≃ₜ Y) : Function.Surjective h := h.toEquiv.surjective #align homeomorph.surjective Homeomorph.surjective def changeInv (f : X ≃ₜ Y) (g : Y → X) (hg : Function.RightInverse g f) : X ≃ₜ Y := haveI : g = f.symm := (f.left_inv.eq_rightInverse hg).symm { toFun := f invFun := g left_inv := by convert f.left_inv right_inv := by convert f.right_inv using 1 continuous_toFun := f.continuous continuous_invFun := by convert f.symm.continuous } #align homeomorph.change_inv Homeomorph.changeInv @[simp] theorem symm_comp_self (h : X ≃ₜ Y) : h.symm ∘ h = id := funext h.symm_apply_apply #align homeomorph.symm_comp_self Homeomorph.symm_comp_self @[simp] theorem self_comp_symm (h : X ≃ₜ Y) : h ∘ h.symm = id := funext h.apply_symm_apply #align homeomorph.self_comp_symm Homeomorph.self_comp_symm @[simp] theorem range_coe (h : X ≃ₜ Y) : range h = univ := h.surjective.range_eq #align homeomorph.range_coe Homeomorph.range_coe theorem image_symm (h : X ≃ₜ Y) : image h.symm = preimage h := funext h.symm.toEquiv.image_eq_preimage #align homeomorph.image_symm Homeomorph.image_symm theorem preimage_symm (h : X ≃ₜ Y) : preimage h.symm = image h := (funext h.toEquiv.image_eq_preimage).symm #align homeomorph.preimage_symm Homeomorph.preimage_symm @[simp] theorem image_preimage (h : X ≃ₜ Y) (s : Set Y) : h '' (h ⁻¹' s) = s := h.toEquiv.image_preimage s #align homeomorph.image_preimage Homeomorph.image_preimage @[simp] theorem preimage_image (h : X ≃ₜ Y) (s : Set X) : h ⁻¹' (h '' s) = s := h.toEquiv.preimage_image s #align homeomorph.preimage_image Homeomorph.preimage_image lemma image_compl (h : X ≃ₜ Y) (s : Set X) : h '' (sᶜ) = (h '' s)ᶜ := h.toEquiv.image_compl s protected theorem inducing (h : X ≃ₜ Y) : Inducing h := inducing_of_inducing_compose h.continuous h.symm.continuous <| by simp only [symm_comp_self, inducing_id] #align homeomorph.inducing Homeomorph.inducing theorem induced_eq (h : X ≃ₜ Y) : TopologicalSpace.induced h ‹_› = ‹_› := h.inducing.1.symm #align homeomorph.induced_eq Homeomorph.induced_eq protected theorem quotientMap (h : X ≃ₜ Y) : QuotientMap h := QuotientMap.of_quotientMap_compose h.symm.continuous h.continuous <| by simp only [self_comp_symm, QuotientMap.id] #align homeomorph.quotient_map Homeomorph.quotientMap theorem coinduced_eq (h : X ≃ₜ Y) : TopologicalSpace.coinduced h ‹_› = ‹_› := h.quotientMap.2.symm #align homeomorph.coinduced_eq Homeomorph.coinduced_eq protected theorem embedding (h : X ≃ₜ Y) : Embedding h := ⟨h.inducing, h.injective⟩ #align homeomorph.embedding Homeomorph.embedding noncomputable def ofEmbedding (f : X → Y) (hf : Embedding f) : X ≃ₜ Set.range f where continuous_toFun := hf.continuous.subtype_mk _ continuous_invFun := hf.continuous_iff.2 <| by simp [continuous_subtype_val] toEquiv := Equiv.ofInjective f hf.inj #align homeomorph.of_embedding Homeomorph.ofEmbedding protected theorem secondCountableTopology [SecondCountableTopology Y] (h : X ≃ₜ Y) : SecondCountableTopology X := h.inducing.secondCountableTopology #align homeomorph.second_countable_topology Homeomorph.secondCountableTopology @[simp] theorem isCompact_image {s : Set X} (h : X ≃ₜ Y) : IsCompact (h '' s) ↔ IsCompact s := h.embedding.isCompact_iff.symm #align homeomorph.is_compact_image Homeomorph.isCompact_image @[simp] theorem isCompact_preimage {s : Set Y} (h : X ≃ₜ Y) : IsCompact (h ⁻¹' s) ↔ IsCompact s := by rw [← image_symm]; exact h.symm.isCompact_image #align homeomorph.is_compact_preimage Homeomorph.isCompact_preimage @[simp] theorem isSigmaCompact_image {s : Set X} (h : X ≃ₜ Y) : IsSigmaCompact (h '' s) ↔ IsSigmaCompact s := h.embedding.isSigmaCompact_iff.symm @[simp] theorem isSigmaCompact_preimage {s : Set Y} (h : X ≃ₜ Y) : IsSigmaCompact (h ⁻¹' s) ↔ IsSigmaCompact s := by rw [← image_symm]; exact h.symm.isSigmaCompact_image @[simp] theorem isPreconnected_image {s : Set X} (h : X ≃ₜ Y) : IsPreconnected (h '' s) ↔ IsPreconnected s := ⟨fun hs ↦ by simpa only [image_symm, preimage_image] using hs.image _ h.symm.continuous.continuousOn, fun hs ↦ hs.image _ h.continuous.continuousOn⟩ @[simp] theorem isPreconnected_preimage {s : Set Y} (h : X ≃ₜ Y) : IsPreconnected (h ⁻¹' s) ↔ IsPreconnected s := by rw [← image_symm, isPreconnected_image] @[simp] theorem isConnected_image {s : Set X} (h : X ≃ₜ Y) : IsConnected (h '' s) ↔ IsConnected s := image_nonempty.and h.isPreconnected_image @[simp] theorem isConnected_preimage {s : Set Y} (h : X ≃ₜ Y) : IsConnected (h ⁻¹' s) ↔ IsConnected s := by rw [← image_symm, isConnected_image] theorem image_connectedComponentIn {s : Set X} (h : X ≃ₜ Y) {x : X} (hx : x ∈ s) : h '' connectedComponentIn s x = connectedComponentIn (h '' s) (h x) := by refine (h.continuous.image_connectedComponentIn_subset hx).antisymm ?_ have := h.symm.continuous.image_connectedComponentIn_subset (mem_image_of_mem h hx) rwa [image_subset_iff, h.preimage_symm, h.image_symm, h.preimage_image, h.symm_apply_apply] at this @[simp] theorem comap_cocompact (h : X ≃ₜ Y) : comap h (cocompact Y) = cocompact X := (comap_cocompact_le h.continuous).antisymm <| (hasBasis_cocompact.le_basis_iff (hasBasis_cocompact.comap h)).2 fun K hK => ⟨h ⁻¹' K, h.isCompact_preimage.2 hK, Subset.rfl⟩ #align homeomorph.comap_cocompact Homeomorph.comap_cocompact @[simp] theorem map_cocompact (h : X ≃ₜ Y) : map h (cocompact X) = cocompact Y := by rw [← h.comap_cocompact, map_comap_of_surjective h.surjective] #align homeomorph.map_cocompact Homeomorph.map_cocompact protected theorem compactSpace [CompactSpace X] (h : X ≃ₜ Y) : CompactSpace Y where isCompact_univ := h.symm.isCompact_preimage.2 isCompact_univ #align homeomorph.compact_space Homeomorph.compactSpace protected theorem t0Space [T0Space X] (h : X ≃ₜ Y) : T0Space Y := h.symm.embedding.t0Space #align homeomorph.t0_space Homeomorph.t0Space protected theorem t1Space [T1Space X] (h : X ≃ₜ Y) : T1Space Y := h.symm.embedding.t1Space #align homeomorph.t1_space Homeomorph.t1Space protected theorem t2Space [T2Space X] (h : X ≃ₜ Y) : T2Space Y := h.symm.embedding.t2Space #align homeomorph.t2_space Homeomorph.t2Space protected theorem t3Space [T3Space X] (h : X ≃ₜ Y) : T3Space Y := h.symm.embedding.t3Space #align homeomorph.t3_space Homeomorph.t3Space protected theorem denseEmbedding (h : X ≃ₜ Y) : DenseEmbedding h := { h.embedding with dense := h.surjective.denseRange } #align homeomorph.dense_embedding Homeomorph.denseEmbedding @[simp] theorem isOpen_preimage (h : X ≃ₜ Y) {s : Set Y} : IsOpen (h ⁻¹' s) ↔ IsOpen s := h.quotientMap.isOpen_preimage #align homeomorph.is_open_preimage Homeomorph.isOpen_preimage @[simp] theorem isOpen_image (h : X ≃ₜ Y) {s : Set X} : IsOpen (h '' s) ↔ IsOpen s := by rw [← preimage_symm, isOpen_preimage] #align homeomorph.is_open_image Homeomorph.isOpen_image protected theorem isOpenMap (h : X ≃ₜ Y) : IsOpenMap h := fun _ => h.isOpen_image.2 #align homeomorph.is_open_map Homeomorph.isOpenMap @[simp] theorem isClosed_preimage (h : X ≃ₜ Y) {s : Set Y} : IsClosed (h ⁻¹' s) ↔ IsClosed s := by simp only [← isOpen_compl_iff, ← preimage_compl, isOpen_preimage] #align homeomorph.is_closed_preimage Homeomorph.isClosed_preimage @[simp] theorem isClosed_image (h : X ≃ₜ Y) {s : Set X} : IsClosed (h '' s) ↔ IsClosed s := by rw [← preimage_symm, isClosed_preimage] #align homeomorph.is_closed_image Homeomorph.isClosed_image protected theorem isClosedMap (h : X ≃ₜ Y) : IsClosedMap h := fun _ => h.isClosed_image.2 #align homeomorph.is_closed_map Homeomorph.isClosedMap protected theorem openEmbedding (h : X ≃ₜ Y) : OpenEmbedding h := openEmbedding_of_embedding_open h.embedding h.isOpenMap #align homeomorph.open_embedding Homeomorph.openEmbedding protected theorem closedEmbedding (h : X ≃ₜ Y) : ClosedEmbedding h := closedEmbedding_of_embedding_closed h.embedding h.isClosedMap #align homeomorph.closed_embedding Homeomorph.closedEmbedding protected theorem normalSpace [NormalSpace X] (h : X ≃ₜ Y) : NormalSpace Y := h.symm.closedEmbedding.normalSpace protected theorem t4Space [T4Space X] (h : X ≃ₜ Y) : T4Space Y := h.symm.closedEmbedding.t4Space #align homeomorph.normal_space Homeomorph.t4Space theorem preimage_closure (h : X ≃ₜ Y) (s : Set Y) : h ⁻¹' closure s = closure (h ⁻¹' s) := h.isOpenMap.preimage_closure_eq_closure_preimage h.continuous _ #align homeomorph.preimage_closure Homeomorph.preimage_closure theorem image_closure (h : X ≃ₜ Y) (s : Set X) : h '' closure s = closure (h '' s) := by rw [← preimage_symm, preimage_closure] #align homeomorph.image_closure Homeomorph.image_closure theorem preimage_interior (h : X ≃ₜ Y) (s : Set Y) : h ⁻¹' interior s = interior (h ⁻¹' s) := h.isOpenMap.preimage_interior_eq_interior_preimage h.continuous _ #align homeomorph.preimage_interior Homeomorph.preimage_interior theorem image_interior (h : X ≃ₜ Y) (s : Set X) : h '' interior s = interior (h '' s) := by rw [← preimage_symm, preimage_interior] #align homeomorph.image_interior Homeomorph.image_interior theorem preimage_frontier (h : X ≃ₜ Y) (s : Set Y) : h ⁻¹' frontier s = frontier (h ⁻¹' s) := h.isOpenMap.preimage_frontier_eq_frontier_preimage h.continuous _ #align homeomorph.preimage_frontier Homeomorph.preimage_frontier theorem image_frontier (h : X ≃ₜ Y) (s : Set X) : h '' frontier s = frontier (h '' s) := by rw [← preimage_symm, preimage_frontier] #align homeomorph.image_frontier Homeomorph.image_frontier @[to_additive] theorem _root_.HasCompactMulSupport.comp_homeomorph {M} [One M] {f : Y → M} (hf : HasCompactMulSupport f) (φ : X ≃ₜ Y) : HasCompactMulSupport (f ∘ φ) := hf.comp_closedEmbedding φ.closedEmbedding #align has_compact_mul_support.comp_homeomorph HasCompactMulSupport.comp_homeomorph #align has_compact_support.comp_homeomorph HasCompactSupport.comp_homeomorph @[simp] theorem map_nhds_eq (h : X ≃ₜ Y) (x : X) : map h (𝓝 x) = 𝓝 (h x) := h.embedding.map_nhds_of_mem _ (by simp) #align homeomorph.map_nhds_eq Homeomorph.map_nhds_eq @[simp] theorem map_punctured_nhds_eq (h : X ≃ₜ Y) (x : X) : map h (𝓝[≠] x) = 𝓝[≠] (h x) := by convert h.embedding.map_nhdsWithin_eq ({x}ᶜ) x rw [h.image_compl, Set.image_singleton] theorem symm_map_nhds_eq (h : X ≃ₜ Y) (x : X) : map h.symm (𝓝 (h x)) = 𝓝 x := by rw [h.symm.map_nhds_eq, h.symm_apply_apply] #align homeomorph.symm_map_nhds_eq Homeomorph.symm_map_nhds_eq theorem nhds_eq_comap (h : X ≃ₜ Y) (x : X) : 𝓝 x = comap h (𝓝 (h x)) := h.inducing.nhds_eq_comap x #align homeomorph.nhds_eq_comap Homeomorph.nhds_eq_comap @[simp]
Mathlib/Topology/Homeomorph.lean
455
456
theorem comap_nhds_eq (h : X ≃ₜ Y) (y : Y) : comap h (𝓝 y) = 𝓝 (h.symm y) := by
rw [h.nhds_eq_comap, h.apply_symm_apply]
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Star.Unitary import Mathlib.Data.Nat.ModEq import Mathlib.NumberTheory.Zsqrtd.Basic import Mathlib.Tactic.Monotonicity #align_import number_theory.pell_matiyasevic from "leanprover-community/mathlib"@"795b501869b9fa7aa716d5fdadd00c03f983a605" namespace Pell open Nat section variable {d : ℤ} def IsPell : ℤ√d → Prop | ⟨x, y⟩ => x * x - d * y * y = 1 #align pell.is_pell Pell.IsPell theorem isPell_norm : ∀ {b : ℤ√d}, IsPell b ↔ b * star b = 1 | ⟨x, y⟩ => by simp [Zsqrtd.ext_iff, IsPell, mul_comm]; ring_nf #align pell.is_pell_norm Pell.isPell_norm theorem isPell_iff_mem_unitary : ∀ {b : ℤ√d}, IsPell b ↔ b ∈ unitary (ℤ√d) | ⟨x, y⟩ => by rw [unitary.mem_iff, isPell_norm, mul_comm (star _), and_self_iff] #align pell.is_pell_iff_mem_unitary Pell.isPell_iff_mem_unitary theorem isPell_mul {b c : ℤ√d} (hb : IsPell b) (hc : IsPell c) : IsPell (b * c) := isPell_norm.2 (by simp [mul_comm, mul_left_comm c, mul_assoc, star_mul, isPell_norm.1 hb, isPell_norm.1 hc]) #align pell.is_pell_mul Pell.isPell_mul theorem isPell_star : ∀ {b : ℤ√d}, IsPell b ↔ IsPell (star b) | ⟨x, y⟩ => by simp [IsPell, Zsqrtd.star_mk] #align pell.is_pell_star Pell.isPell_star end section -- Porting note: was parameter in Lean3 variable {a : ℕ} (a1 : 1 < a) private def d (_a1 : 1 < a) := a * a - 1 @[simp] theorem d_pos : 0 < d a1 := tsub_pos_of_lt (mul_lt_mul a1 (le_of_lt a1) (by decide) (Nat.zero_le _) : 1 * 1 < a * a) #align pell.d_pos Pell.d_pos -- TODO(lint): Fix double namespace issue --@[nolint dup_namespace] def pell : ℕ → ℕ × ℕ -- Porting note: used pattern matching because `Nat.recOn` is noncomputable | 0 => (1, 0) | n+1 => ((pell n).1 * a + d a1 * (pell n).2, (pell n).1 + (pell n).2 * a) #align pell.pell Pell.pell def xn (n : ℕ) : ℕ := (pell a1 n).1 #align pell.xn Pell.xn def yn (n : ℕ) : ℕ := (pell a1 n).2 #align pell.yn Pell.yn @[simp] theorem pell_val (n : ℕ) : pell a1 n = (xn a1 n, yn a1 n) := show pell a1 n = ((pell a1 n).1, (pell a1 n).2) from match pell a1 n with | (_, _) => rfl #align pell.pell_val Pell.pell_val @[simp] theorem xn_zero : xn a1 0 = 1 := rfl #align pell.xn_zero Pell.xn_zero @[simp] theorem yn_zero : yn a1 0 = 0 := rfl #align pell.yn_zero Pell.yn_zero @[simp] theorem xn_succ (n : ℕ) : xn a1 (n + 1) = xn a1 n * a + d a1 * yn a1 n := rfl #align pell.xn_succ Pell.xn_succ @[simp] theorem yn_succ (n : ℕ) : yn a1 (n + 1) = xn a1 n + yn a1 n * a := rfl #align pell.yn_succ Pell.yn_succ --@[simp] Porting note (#10618): `simp` can prove it
Mathlib/NumberTheory/PellMatiyasevic.lean
151
151
theorem xn_one : xn a1 1 = a := by
simp
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.Calculus.Deriv.Linear import Mathlib.Analysis.Complex.Conformal import Mathlib.Analysis.Calculus.Conformal.NormedSpace #align_import analysis.complex.real_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" section RealDerivOfComplex open Complex variable {e : ℂ → ℂ} {e' : ℂ} {z : ℝ}
Mathlib/Analysis/Complex/RealDeriv.lean
49
62
theorem HasStrictDerivAt.real_of_complex (h : HasStrictDerivAt e e' z) : HasStrictDerivAt (fun x : ℝ => (e x).re) e'.re z := by
have A : HasStrictFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasStrictFDerivAt have B : HasStrictFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ) (ofRealCLM z) := h.hasStrictFDerivAt.restrictScalars ℝ have C : HasStrictFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasStrictFDerivAt -- Porting note: this should be by: -- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt -- but for some reason simp can not use `ContinuousLinearMap.comp_apply` convert (C.comp z (B.comp z A)).hasStrictDerivAt rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply] simp
import Mathlib.CategoryTheory.Opposites #align_import category_theory.eq_to_hom from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe v₁ v₂ v₃ u₁ u₂ u₃ -- morphism levels before object levels. See note [CategoryTheory universes]. namespace CategoryTheory open Opposite variable {C : Type u₁} [Category.{v₁} C] def eqToHom {X Y : C} (p : X = Y) : X ⟶ Y := by rw [p]; exact 𝟙 _ #align category_theory.eq_to_hom CategoryTheory.eqToHom @[simp] theorem eqToHom_refl (X : C) (p : X = X) : eqToHom p = 𝟙 X := rfl #align category_theory.eq_to_hom_refl CategoryTheory.eqToHom_refl @[reassoc (attr := simp)] theorem eqToHom_trans {X Y Z : C} (p : X = Y) (q : Y = Z) : eqToHom p ≫ eqToHom q = eqToHom (p.trans q) := by cases p cases q simp #align category_theory.eq_to_hom_trans CategoryTheory.eqToHom_trans theorem comp_eqToHom_iff {X Y Y' : C} (p : Y = Y') (f : X ⟶ Y) (g : X ⟶ Y') : f ≫ eqToHom p = g ↔ f = g ≫ eqToHom p.symm := { mp := fun h => h ▸ by simp mpr := fun h => by simp [eq_whisker h (eqToHom p)] } #align category_theory.comp_eq_to_hom_iff CategoryTheory.comp_eqToHom_iff theorem eqToHom_comp_iff {X X' Y : C} (p : X = X') (f : X ⟶ Y) (g : X' ⟶ Y) : eqToHom p ≫ g = f ↔ g = eqToHom p.symm ≫ f := { mp := fun h => h ▸ by simp mpr := fun h => h ▸ by simp [whisker_eq _ h] } #align category_theory.eq_to_hom_comp_iff CategoryTheory.eqToHom_comp_iff variable {β : Sort*} -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_naturality {f g : β → C} (z : ∀ b, f b ⟶ g b) {j j' : β} (w : j = j') : z j ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ z j' := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_hom_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).hom ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').hom := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_inv_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).inv ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').inv := by cases w simp @[simp, nolint simpNF] theorem congrArg_cast_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : cast (congrArg (fun W : C => W ⟶ Z) p.symm) q = eqToHom p ≫ q := by cases p simp theorem congrArg_mpr_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : (congrArg (fun W : C => W ⟶ Z) p).mpr q = eqToHom p ≫ q := by cases p simp #align category_theory.congr_arg_mpr_hom_left CategoryTheory.congrArg_mpr_hom_left @[simp, nolint simpNF]
Mathlib/CategoryTheory/EqToHom.lean
126
129
theorem congrArg_cast_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) : cast (congrArg (fun W : C => X ⟶ W) q.symm) p = p ≫ eqToHom q.symm := by
cases q simp
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Algebra.Polynomial.Eval import Mathlib.GroupTheory.GroupAction.Ring #align_import data.polynomial.derivative from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Finset open Polynomial namespace Polynomial universe u v w y z variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {A : Type z} {a b : R} {n : ℕ} section Derivative section Semiring variable [Semiring R] def derivative : R[X] →ₗ[R] R[X] where toFun p := p.sum fun n a => C (a * n) * X ^ (n - 1) map_add' p q := by dsimp only rw [sum_add_index] <;> simp only [add_mul, forall_const, RingHom.map_add, eq_self_iff_true, zero_mul, RingHom.map_zero] map_smul' a p := by dsimp; rw [sum_smul_index] <;> simp only [mul_sum, ← C_mul', mul_assoc, coeff_C_mul, RingHom.map_mul, forall_const, zero_mul, RingHom.map_zero, sum] #align polynomial.derivative Polynomial.derivative theorem derivative_apply (p : R[X]) : derivative p = p.sum fun n a => C (a * n) * X ^ (n - 1) := rfl #align polynomial.derivative_apply Polynomial.derivative_apply
Mathlib/Algebra/Polynomial/Derivative.lean
57
73
theorem coeff_derivative (p : R[X]) (n : ℕ) : coeff (derivative p) n = coeff p (n + 1) * (n + 1) := by
rw [derivative_apply] simp only [coeff_X_pow, coeff_sum, coeff_C_mul] rw [sum, Finset.sum_eq_single (n + 1)] · simp only [Nat.add_succ_sub_one, add_zero, mul_one, if_true, eq_self_iff_true]; norm_cast · intro b cases b · intros rw [Nat.cast_zero, mul_zero, zero_mul] · intro _ H rw [Nat.add_one_sub_one, if_neg (mt (congr_arg Nat.succ) H.symm), mul_zero] · rw [if_pos (add_tsub_cancel_right n 1).symm, mul_one, Nat.cast_add, Nat.cast_one, mem_support_iff] intro h push_neg at h simp [h]
import Mathlib.Init.Order.Defs #align_import init.algebra.functions from "leanprover-community/lean"@"c2bcdbcbe741ed37c361a30d38e179182b989f76" universe u section open Decidable variable {α : Type u} [LinearOrder α] theorem min_def (a b : α) : min a b = if a ≤ b then a else b := by rw [LinearOrder.min_def a] #align min_def min_def theorem max_def (a b : α) : max a b = if a ≤ b then b else a := by rw [LinearOrder.max_def a] #align max_def max_def theorem min_le_left (a b : α) : min a b ≤ a := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h, le_refl] else simp [min_def, if_neg h]; exact le_of_not_le h #align min_le_left min_le_left theorem min_le_right (a b : α) : min a b ≤ b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h]; exact h else simp [min_def, if_neg h, le_refl] #align min_le_right min_le_right theorem le_min {a b c : α} (h₁ : c ≤ a) (h₂ : c ≤ b) : c ≤ min a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [min_def, if_pos h]; exact h₁ else simp [min_def, if_neg h]; exact h₂ #align le_min le_min theorem le_max_left (a b : α) : a ≤ max a b := by -- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h]; exact h else simp [max_def, if_neg h, le_refl] #align le_max_left le_max_left
Mathlib/Init/Order/LinearOrder.lean
61
65
theorem le_max_right (a b : α) : b ≤ max a b := by
-- Porting note: no `min_tac` tactic if h : a ≤ b then simp [max_def, if_pos h, le_refl] else simp [max_def, if_neg h]; exact le_of_not_le h
import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.torus_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" variable {n : ℕ} variable {E : Type*} [NormedAddCommGroup E] noncomputable section open Complex Set MeasureTheory Function Filter TopologicalSpace open scoped Real -- Porting note: notation copied from `./DivergenceTheorem` local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "⁰" : term => `(Fin 0 → $t) local macro:arg t:term:max noWs "¹" : term => `(Fin 1 → $t) def torusMap (c : ℂⁿ) (R : ℝⁿ) : ℝⁿ → ℂⁿ := fun θ i => c i + R i * exp (θ i * I) #align torus_map torusMap theorem torusMap_sub_center (c : ℂⁿ) (R : ℝⁿ) (θ : ℝⁿ) : torusMap c R θ - c = torusMap 0 R θ := by ext1 i; simp [torusMap] #align torus_map_sub_center torusMap_sub_center
Mathlib/MeasureTheory/Integral/TorusIntegral.lean
88
89
theorem torusMap_eq_center_iff {c : ℂⁿ} {R : ℝⁿ} {θ : ℝⁿ} : torusMap c R θ = c ↔ R = 0 := by
simp [funext_iff, torusMap, exp_ne_zero]
import Mathlib.Data.Nat.Bitwise import Mathlib.SetTheory.Game.Birthday import Mathlib.SetTheory.Game.Impartial #align_import set_theory.game.nim from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" noncomputable section universe u namespace SetTheory open scoped PGame namespace PGame -- Uses `noncomputable!` to avoid `rec_fn_macro only allowed in meta definitions` VM error noncomputable def nim : Ordinal.{u} → PGame.{u} | o₁ => let f o₂ := have _ : Ordinal.typein o₁.out.r o₂ < o₁ := Ordinal.typein_lt_self o₂ nim (Ordinal.typein o₁.out.r o₂) ⟨o₁.out.α, o₁.out.α, f, f⟩ termination_by o => o #align pgame.nim SetTheory.PGame.nim open Ordinal
Mathlib/SetTheory/Game/Nim.lean
59
64
theorem nim_def (o : Ordinal) : have : IsWellOrder (Quotient.out o).α (· < ·) := inferInstance nim o = PGame.mk o.out.α o.out.α (fun o₂ => nim (Ordinal.typein (· < ·) o₂)) fun o₂ => nim (Ordinal.typein (· < ·) o₂) := by
rw [nim]; rfl
import Mathlib.AlgebraicTopology.SplitSimplicialObject import Mathlib.AlgebraicTopology.DoldKan.PInfty #align_import algebraic_topology.dold_kan.functor_gamma from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits SimplexCategory SimplicialObject Opposite CategoryTheory.Idempotents Simplicial DoldKan namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] (K K' : ChainComplex C ℕ) (f : K ⟶ K') {Δ Δ' Δ'' : SimplexCategory} @[nolint unusedArguments] def Isδ₀ {Δ Δ' : SimplexCategory} (i : Δ' ⟶ Δ) [Mono i] : Prop := Δ.len = Δ'.len + 1 ∧ i.toOrderHom 0 ≠ 0 #align algebraic_topology.dold_kan.is_δ₀ AlgebraicTopology.DoldKan.Isδ₀ namespace Isδ₀
Mathlib/AlgebraicTopology/DoldKan/FunctorGamma.lean
55
61
theorem iff {j : ℕ} {i : Fin (j + 2)} : Isδ₀ (SimplexCategory.δ i) ↔ i = 0 := by
constructor · rintro ⟨_, h₂⟩ by_contra h exact h₂ (Fin.succAbove_ne_zero_zero h) · rintro rfl exact ⟨rfl, by dsimp; exact Fin.succ_ne_zero (0 : Fin (j + 1))⟩
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by simp_rw [mem_iUnion] #align set.mem_Union₂ Set.mem_iUnion₂ theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by simp_rw [mem_iInter] #align set.mem_Inter₂ Set.mem_iInter₂ theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i := mem_iUnion.2 ⟨i, ha⟩ #align set.mem_Union_of_mem Set.mem_iUnion_of_mem theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) : a ∈ ⋃ (i) (j), s i j := mem_iUnion₂.2 ⟨i, j, ha⟩ #align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_iInter.2 h #align set.mem_Inter_of_mem Set.mem_iInter_of_mem theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ (i) (j), s i j := mem_iInter₂.2 h #align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) := { instBooleanAlgebraSet with le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩ sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in sInf_le := fun s t t_in a h => h _ t_in iInf_iSup_eq := by intros; ext; simp [Classical.skolem] } instance : OrderTop (Set α) where top := univ le_top := by simp @[congr] theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ := iSup_congr_Prop pq f #align set.Union_congr_Prop Set.iUnion_congr_Prop @[congr] theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ := iInf_congr_Prop pq f #align set.Inter_congr_Prop Set.iInter_congr_Prop theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i := iSup_plift_up _ #align set.Union_plift_up Set.iUnion_plift_up theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i := iSup_plift_down _ #align set.Union_plift_down Set.iUnion_plift_down theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i := iInf_plift_up _ #align set.Inter_plift_up Set.iInter_plift_up theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i := iInf_plift_down _ #align set.Inter_plift_down Set.iInter_plift_down theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ := iSup_eq_if _ #align set.Union_eq_if Set.iUnion_eq_if theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋃ h : p, s h = if h : p then s h else ∅ := iSup_eq_dif _ #align set.Union_eq_dif Set.iUnion_eq_dif theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ := iInf_eq_if _ #align set.Inter_eq_if Set.iInter_eq_if theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋂ h : p, s h = if h : p then s h else univ := _root_.iInf_eq_dif _ #align set.Infi_eq_dif Set.iInf_eq_dif theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β) (w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by have p : x ∈ ⊤ := Set.mem_univ x rw [← w, Set.mem_iUnion] at p simpa using p #align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α) (H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some exact ⟨x, m⟩ #align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty theorem nonempty_of_nonempty_iUnion {s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by obtain ⟨x, hx⟩ := h_Union exact ⟨Classical.choose <| mem_iUnion.mp hx⟩ theorem nonempty_of_nonempty_iUnion_eq_univ {s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι := nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty) theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } := ext fun _ => mem_iUnion.symm #align set.set_of_exists Set.setOf_exists theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } := ext fun _ => mem_iInter.symm #align set.set_of_forall Set.setOf_forall theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t := iSup_le h #align set.Union_subset Set.iUnion_subset theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) : ⋃ (i) (j), s i j ⊆ t := iUnion_subset fun x => iUnion_subset (h x) #align set.Union₂_subset Set.iUnion₂_subset theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i := le_iInf h #align set.subset_Inter Set.subset_iInter theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ (i) (j), t i j := subset_iInter fun x => subset_iInter <| h x #align set.subset_Inter₂ Set.subset_iInter₂ @[simp] theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t := ⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩ #align set.Union_subset_iff Set.iUnion_subset_iff theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} : ⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff] #align set.Union₂_subset_iff Set.iUnion₂_subset_iff @[simp] theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i := le_iInf_iff #align set.subset_Inter_iff Set.subset_iInter_iff -- Porting note (#10618): removing `simp`. `simp` can prove it theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} : (s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff] #align set.subset_Inter₂_iff Set.subset_iInter₂_iff theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i := le_iSup #align set.subset_Union Set.subset_iUnion theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i := iInf_le #align set.Inter_subset Set.iInter_subset theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' := le_iSup₂ i j #align set.subset_Union₂ Set.subset_iUnion₂ theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j := iInf₂_le i j #align set.Inter₂_subset Set.iInter₂_subset theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i := le_iSup_of_le i h #align set.subset_Union_of_subset Set.subset_iUnion_of_subset theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) : ⋂ i, s i ⊆ t := iInf_le_of_le i h #align set.Inter_subset_of_subset Set.iInter_subset_of_subset theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i) (h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j := le_iSup₂_of_le i j h #align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i) (h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t := iInf₂_le_of_le i j h #align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono h #align set.Union_mono Set.iUnion_mono @[gcongr] theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t := iSup_mono h theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j := iSup₂_mono h #align set.Union₂_mono Set.iUnion₂_mono theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i := iInf_mono h #align set.Inter_mono Set.iInter_mono @[gcongr] theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t := iInf_mono h theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j := iInf₂_mono h #align set.Inter₂_mono Set.iInter₂_mono theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono' h #align set.Union_mono' Set.iUnion_mono' theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' := iSup₂_mono' h #align set.Union₂_mono' Set.iUnion₂_mono' theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) : ⋂ i, s i ⊆ ⋂ j, t j := Set.subset_iInter fun j => let ⟨i, hi⟩ := h j iInter_subset_of_subset i hi #align set.Inter_mono' Set.iInter_mono' theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' := subset_iInter₂_iff.2 fun i' j' => let ⟨_, _, hst⟩ := h i' j' (iInter₂_subset _ _).trans hst #align set.Inter₂_mono' Set.iInter₂_mono' theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) : ⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i := iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl #align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) : ⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i := iInter_mono fun _ => subset_iInter fun _ => Subset.rfl #align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂ theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by ext exact mem_iUnion #align set.Union_set_of Set.iUnion_setOf theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by ext exact mem_iInter #align set.Inter_set_of Set.iInter_setOf theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y := h1.iSup_congr h h2 #align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y := h1.iInf_congr h h2 #align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h #align set.Union_congr Set.iUnion_congr lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h #align set.Inter_congr Set.iInter_congr lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋃ (i) (j), s i j = ⋃ (i) (j), t i j := iUnion_congr fun i => iUnion_congr <| h i #align set.Union₂_congr Set.iUnion₂_congr lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋂ (i) (j), s i j = ⋂ (i) (j), t i j := iInter_congr fun i => iInter_congr <| h i #align set.Inter₂_congr Set.iInter₂_congr @[simp] theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ := compl_iSup #align set.compl_Union Set.compl_iUnion theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by simp_rw [compl_iUnion] #align set.compl_Union₂ Set.compl_iUnion₂ @[simp] theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ := compl_iInf #align set.compl_Inter Set.compl_iInter theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by simp_rw [compl_iInter] #align set.compl_Inter₂ Set.compl_iInter₂ -- classical -- complete_boolean_algebra theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by simp only [compl_iInter, compl_compl] #align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl -- classical -- complete_boolean_algebra theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by simp only [compl_iUnion, compl_compl] #align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i := inf_iSup_eq _ _ #align set.inter_Union Set.inter_iUnion theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s := iSup_inf_eq _ _ #align set.Union_inter Set.iUnion_inter theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) : ⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i := iSup_sup_eq #align set.Union_union_distrib Set.iUnion_union_distrib theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) : ⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i := iInf_inf_eq #align set.Inter_inter_distrib Set.iInter_inter_distrib theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i := sup_iSup #align set.union_Union Set.union_iUnion theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s := iSup_sup #align set.Union_union Set.iUnion_union theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i := inf_iInf #align set.inter_Inter Set.inter_iInter theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s := iInf_inf #align set.Inter_inter Set.iInter_inter -- classical theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i := sup_iInf_eq _ _ #align set.union_Inter Set.union_iInter theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.Inter_union Set.iInter_union theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s := iUnion_inter _ _ #align set.Union_diff Set.iUnion_diff theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by rw [diff_eq, compl_iUnion, inter_iInter]; rfl #align set.diff_Union Set.diff_iUnion theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by rw [diff_eq, compl_iInter, inter_iUnion]; rfl #align set.diff_Inter Set.diff_iInter theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i := le_iSup_inf_iSup s t #align set.Union_inter_subset Set.iUnion_inter_subset theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_monotone hs ht #align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_antitone hs ht #align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_monotone hs ht #align set.Inter_union_of_monotone Set.iInter_union_of_monotone theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_antitone hs ht #align set.Inter_union_of_antitone Set.iInter_union_of_antitone theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j := iSup_iInf_le_iInf_iSup (flip s) #align set.Union_Inter_subset Set.iUnion_iInter_subset theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) := iSup_option s #align set.Union_option Set.iUnion_option theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) := iInf_option s #align set.Inter_option Set.iInter_option section variable (p : ι → Prop) [DecidablePred p] theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h := iSup_dite _ _ _ #align set.Union_dite Set.iUnion_dite theorem iUnion_ite (f g : ι → Set α) : ⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i := iUnion_dite _ _ _ #align set.Union_ite Set.iUnion_ite theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h := iInf_dite _ _ _ #align set.Inter_dite Set.iInter_dite theorem iInter_ite (f g : ι → Set α) : ⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i := iInter_dite _ _ _ #align set.Inter_ite Set.iInter_ite end theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)} (hv : (pi univ v).Nonempty) (i : ι) : ((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by classical apply Subset.antisymm · simp [iInter_subset] · intro y y_in simp only [mem_image, mem_iInter, mem_preimage] rcases hv with ⟨z, hz⟩ refine ⟨Function.update z i y, ?_, update_same i y z⟩ rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i] exact ⟨y_in, fun j _ => by simpa using hz j⟩ #align set.image_projection_prod Set.image_projection_prod theorem iInter_false {s : False → Set α} : iInter s = univ := iInf_false #align set.Inter_false Set.iInter_false theorem iUnion_false {s : False → Set α} : iUnion s = ∅ := iSup_false #align set.Union_false Set.iUnion_false @[simp] theorem iInter_true {s : True → Set α} : iInter s = s trivial := iInf_true #align set.Inter_true Set.iInter_true @[simp] theorem iUnion_true {s : True → Set α} : iUnion s = s trivial := iSup_true #align set.Union_true Set.iUnion_true @[simp] theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} : ⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ := iInf_exists #align set.Inter_exists Set.iInter_exists @[simp] theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} : ⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ := iSup_exists #align set.Union_exists Set.iUnion_exists @[simp] theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ := iSup_bot #align set.Union_empty Set.iUnion_empty @[simp] theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ := iInf_top #align set.Inter_univ Set.iInter_univ section variable {s : ι → Set α} @[simp] theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ := iSup_eq_bot #align set.Union_eq_empty Set.iUnion_eq_empty @[simp] theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ := iInf_eq_top #align set.Inter_eq_univ Set.iInter_eq_univ @[simp] theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by simp [nonempty_iff_ne_empty] #align set.nonempty_Union Set.nonempty_iUnion -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_biUnion {t : Set α} {s : α → Set β} : (⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp #align set.nonempty_bUnion Set.nonempty_biUnion theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) : ⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ := iSup_exists #align set.Union_nonempty_index Set.iUnion_nonempty_index end @[simp] theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋂ (x) (h : x = b), s x h = s b rfl := iInf_iInf_eq_left #align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left @[simp] theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋂ (x) (h : b = x), s x h = s b rfl := iInf_iInf_eq_right #align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right @[simp] theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋃ (x) (h : x = b), s x h = s b rfl := iSup_iSup_eq_left #align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left @[simp] theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋃ (x) (h : b = x), s x h = s b rfl := iSup_iSup_eq_right #align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) : ⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) := iInf_or #align set.Inter_or Set.iInter_or theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) : ⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) := iSup_or #align set.Union_or Set.iUnion_or theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ := iSup_and #align set.Union_and Set.iUnion_and theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ := iInf_and #align set.Inter_and Set.iInter_and theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' := iSup_comm #align set.Union_comm Set.iUnion_comm theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' := iInf_comm #align set.Inter_comm Set.iInter_comm theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ := iSup_sigma theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 := iSup_sigma' _ theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ := iInf_sigma theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 := iInf_sigma' _ theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iSup₂_comm _ #align set.Union₂_comm Set.iUnion₂_comm theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iInf₂_comm _ #align set.Inter₂_comm Set.iInter₂_comm @[simp] theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iUnion_and, @iUnion_comm _ ι'] #align set.bUnion_and Set.biUnion_and @[simp] theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iUnion_and, @iUnion_comm _ ι] #align set.bUnion_and' Set.biUnion_and' @[simp] theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iInter_and, @iInter_comm _ ι'] #align set.bInter_and Set.biInter_and @[simp] theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iInter_and, @iInter_comm _ ι] #align set.bInter_and' Set.biInter_and' @[simp] theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left] #align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left @[simp] theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left] #align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) : y ∈ ⋃ x ∈ s, t x := mem_iUnion₂_of_mem xs ytx #align set.mem_bUnion Set.mem_biUnion theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) : y ∈ ⋂ x ∈ s, t x := mem_iInter₂_of_mem h #align set.mem_bInter Set.mem_biInter theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) : u x ⊆ ⋃ x ∈ s, u x := -- Porting note: Why is this not just `subset_iUnion₂ x xs`? @subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs #align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) : ⋂ x ∈ s, t x ⊆ t x := iInter₂_subset x xs #align set.bInter_subset_of_mem Set.biInter_subset_of_mem theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') : ⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x := iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx #align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) : ⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x := subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx #align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) : ⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x := (biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h #align set.bUnion_mono Set.biUnion_mono theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) : ⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x := (biInter_subset_biInter_left hs).trans <| iInter₂_mono h #align set.bInter_mono Set.biInter_mono theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) : ⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 := iSup_subtype' #align set.bUnion_eq_Union Set.biUnion_eq_iUnion theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) : ⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 := iInf_subtype' #align set.bInter_eq_Inter Set.biInter_eq_iInter theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ := iSup_subtype #align set.Union_subtype Set.iUnion_subtype theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ := iInf_subtype #align set.Inter_subtype Set.iInter_subtype theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ := iInf_emptyset #align set.bInter_empty Set.biInter_empty theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x := iInf_univ #align set.bInter_univ Set.biInter_univ @[simp] theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s := Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx #align set.bUnion_self Set.biUnion_self @[simp] theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by rw [iUnion_nonempty_index, biUnion_self] #align set.Union_nonempty_self Set.iUnion_nonempty_self theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a := iInf_singleton #align set.bInter_singleton Set.biInter_singleton theorem biInter_union (s t : Set α) (u : α → Set β) : ⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x := iInf_union #align set.bInter_union Set.biInter_union theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) : ⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp #align set.bInter_insert Set.biInter_insert theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by rw [biInter_insert, biInter_singleton] #align set.bInter_pair Set.biInter_pair theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by haveI : Nonempty s := hs.to_subtype simp [biInter_eq_iInter, ← iInter_inter] #align set.bInter_inter Set.biInter_inter theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by rw [inter_comm, ← biInter_inter hs] simp [inter_comm] #align set.inter_bInter Set.inter_biInter theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ := iSup_emptyset #align set.bUnion_empty Set.biUnion_empty theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x := iSup_univ #align set.bUnion_univ Set.biUnion_univ theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a := iSup_singleton #align set.bUnion_singleton Set.biUnion_singleton @[simp] theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s := ext <| by simp #align set.bUnion_of_singleton Set.biUnion_of_singleton theorem biUnion_union (s t : Set α) (u : α → Set β) : ⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x := iSup_union #align set.bUnion_union Set.biUnion_union @[simp] theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iUnion_subtype _ _ #align set.Union_coe_set Set.iUnion_coe_set @[simp] theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iInter_subtype _ _ #align set.Inter_coe_set Set.iInter_coe_set theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) : ⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp #align set.bUnion_insert Set.biUnion_insert theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by simp #align set.bUnion_pair Set.biUnion_pair theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion] #align set.inter_Union₂ Set.inter_iUnion₂ theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) : (⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter] #align set.Union₂_inter Set.iUnion₂_inter
Mathlib/Data/Set/Lattice.lean
985
986
theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by
simp_rw [union_iInter]
import Mathlib.Algebra.Lie.Matrix import Mathlib.LinearAlgebra.Matrix.SesquilinearForm import Mathlib.Tactic.NoncommRing #align_import algebra.lie.skew_adjoint from "leanprover-community/mathlib"@"075b3f7d19b9da85a0b54b3e33055a74fc388dec" universe u v w w₁ section SkewAdjointMatrices open scoped Matrix variable {R : Type u} {n : Type w} [CommRing R] [DecidableEq n] [Fintype n] variable (J : Matrix n n R) theorem Matrix.lie_transpose (A B : Matrix n n R) : ⁅A, B⁆ᵀ = ⁅Bᵀ, Aᵀ⁆ := show (A * B - B * A)ᵀ = Bᵀ * Aᵀ - Aᵀ * Bᵀ by simp #align matrix.lie_transpose Matrix.lie_transpose -- Porting note: Changed `(A B)` to `{A B}` for convenience in `skewAdjointMatricesLieSubalgebra` theorem Matrix.isSkewAdjoint_bracket {A B : Matrix n n R} (hA : A ∈ skewAdjointMatricesSubmodule J) (hB : B ∈ skewAdjointMatricesSubmodule J) : ⁅A, B⁆ ∈ skewAdjointMatricesSubmodule J := by simp only [mem_skewAdjointMatricesSubmodule] at * change ⁅A, B⁆ᵀ * J = J * (-⁅A, B⁆) change Aᵀ * J = J * (-A) at hA change Bᵀ * J = J * (-B) at hB rw [Matrix.lie_transpose, LieRing.of_associative_ring_bracket, LieRing.of_associative_ring_bracket, sub_mul, mul_assoc, mul_assoc, hA, hB, ← mul_assoc, ← mul_assoc, hA, hB] noncomm_ring #align matrix.is_skew_adjoint_bracket Matrix.isSkewAdjoint_bracket def skewAdjointMatricesLieSubalgebra : LieSubalgebra R (Matrix n n R) := { skewAdjointMatricesSubmodule J with lie_mem' := J.isSkewAdjoint_bracket } #align skew_adjoint_matrices_lie_subalgebra skewAdjointMatricesLieSubalgebra @[simp] theorem mem_skewAdjointMatricesLieSubalgebra (A : Matrix n n R) : A ∈ skewAdjointMatricesLieSubalgebra J ↔ A ∈ skewAdjointMatricesSubmodule J := Iff.rfl #align mem_skew_adjoint_matrices_lie_subalgebra mem_skewAdjointMatricesLieSubalgebra def skewAdjointMatricesLieSubalgebraEquiv (P : Matrix n n R) (h : Invertible P) : skewAdjointMatricesLieSubalgebra J ≃ₗ⁅R⁆ skewAdjointMatricesLieSubalgebra (Pᵀ * J * P) := LieEquiv.ofSubalgebras _ _ (P.lieConj h).symm <| by ext A suffices P.lieConj h A ∈ skewAdjointMatricesSubmodule J ↔ A ∈ skewAdjointMatricesSubmodule (Pᵀ * J * P) by simp only [LieSubalgebra.mem_coe, Submodule.mem_map_equiv, LieSubalgebra.mem_map_submodule, LinearEquiv.coe_coe] exact this simp [Matrix.IsSkewAdjoint, J.isAdjointPair_equiv _ _ P (isUnit_of_invertible P)] #align skew_adjoint_matrices_lie_subalgebra_equiv skewAdjointMatricesLieSubalgebraEquiv -- TODO(mathlib4#6607): fix elaboration so annotation on `A` isn't needed
Mathlib/Algebra/Lie/SkewAdjoint.lean
142
145
theorem skewAdjointMatricesLieSubalgebraEquiv_apply (P : Matrix n n R) (h : Invertible P) (A : skewAdjointMatricesLieSubalgebra J) : ↑(skewAdjointMatricesLieSubalgebraEquiv J P h A) = P⁻¹ * (A : Matrix n n R) * P := by
simp [skewAdjointMatricesLieSubalgebraEquiv]
import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom structure IsRingHom {α : Type u} {β : Type v} [Ring α] [Ring β] (f : α → β) : Prop where map_one : f 1 = 1 map_mul : ∀ x y, f (x * y) = f x * f y map_add : ∀ x y, f (x + y) = f x + f y #align is_ring_hom IsRingHom namespace IsRingHom variable {β : Type v} [Ring α] [Ring β] theorem of_semiring {f : α → β} (H : IsSemiringHom f) : IsRingHom f := { H with } #align is_ring_hom.of_semiring IsRingHom.of_semiring variable {f : α → β} (hf : IsRingHom f) {x y : α} theorem map_zero (hf : IsRingHom f) : f 0 = 0 := calc f 0 = f (0 + 0) - f 0 := by rw [hf.map_add]; simp _ = 0 := by simp #align is_ring_hom.map_zero IsRingHom.map_zero theorem map_neg (hf : IsRingHom f) : f (-x) = -f x := calc f (-x) = f (-x + x) - f x := by rw [hf.map_add]; simp _ = -f x := by simp [hf.map_zero] #align is_ring_hom.map_neg IsRingHom.map_neg
Mathlib/Deprecated/Ring.lean
114
115
theorem map_sub (hf : IsRingHom f) : f (x - y) = f x - f y := by
simp [sub_eq_add_neg, hf.map_add, hf.map_neg]
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.UnitaryGroup #align_import analysis.inner_product_space.pi_L2 from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" set_option linter.uppercaseLean3 false open Real Set Filter RCLike Submodule Function Uniformity Topology NNReal ENNReal ComplexConjugate DirectSum noncomputable section variable {ι ι' 𝕜 : Type*} [RCLike 𝕜] variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable {E' : Type*} [NormedAddCommGroup E'] [InnerProductSpace 𝕜 E'] variable {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] variable {F' : Type*} [NormedAddCommGroup F'] [InnerProductSpace ℝ F'] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y instance PiLp.innerProductSpace {ι : Type*} [Fintype ι] (f : ι → Type*) [∀ i, NormedAddCommGroup (f i)] [∀ i, InnerProductSpace 𝕜 (f i)] : InnerProductSpace 𝕜 (PiLp 2 f) where inner x y := ∑ i, inner (x i) (y i) norm_sq_eq_inner x := by simp only [PiLp.norm_sq_eq_of_L2, map_sum, ← norm_sq_eq_inner, one_div] conj_symm := by intro x y unfold inner rw [map_sum] apply Finset.sum_congr rfl rintro z - apply inner_conj_symm add_left x y z := show (∑ i, inner (x i + y i) (z i)) = (∑ i, inner (x i) (z i)) + ∑ i, inner (y i) (z i) by simp only [inner_add_left, Finset.sum_add_distrib] smul_left x y r := show (∑ i : ι, inner (r • x i) (y i)) = conj r * ∑ i, inner (x i) (y i) by simp only [Finset.mul_sum, inner_smul_left] #align pi_Lp.inner_product_space PiLp.innerProductSpace @[simp] theorem PiLp.inner_apply {ι : Type*} [Fintype ι] {f : ι → Type*} [∀ i, NormedAddCommGroup (f i)] [∀ i, InnerProductSpace 𝕜 (f i)] (x y : PiLp 2 f) : ⟪x, y⟫ = ∑ i, ⟪x i, y i⟫ := rfl #align pi_Lp.inner_apply PiLp.inner_apply abbrev EuclideanSpace (𝕜 : Type*) (n : Type*) : Type _ := PiLp 2 fun _ : n => 𝕜 #align euclidean_space EuclideanSpace theorem EuclideanSpace.nnnorm_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x : EuclideanSpace 𝕜 n) : ‖x‖₊ = NNReal.sqrt (∑ i, ‖x i‖₊ ^ 2) := PiLp.nnnorm_eq_of_L2 x #align euclidean_space.nnnorm_eq EuclideanSpace.nnnorm_eq theorem EuclideanSpace.norm_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x : EuclideanSpace 𝕜 n) : ‖x‖ = √(∑ i, ‖x i‖ ^ 2) := by simpa only [Real.coe_sqrt, NNReal.coe_sum] using congr_arg ((↑) : ℝ≥0 → ℝ) x.nnnorm_eq #align euclidean_space.norm_eq EuclideanSpace.norm_eq theorem EuclideanSpace.dist_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x y : EuclideanSpace 𝕜 n) : dist x y = √(∑ i, dist (x i) (y i) ^ 2) := PiLp.dist_eq_of_L2 x y #align euclidean_space.dist_eq EuclideanSpace.dist_eq theorem EuclideanSpace.nndist_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x y : EuclideanSpace 𝕜 n) : nndist x y = NNReal.sqrt (∑ i, nndist (x i) (y i) ^ 2) := PiLp.nndist_eq_of_L2 x y #align euclidean_space.nndist_eq EuclideanSpace.nndist_eq theorem EuclideanSpace.edist_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x y : EuclideanSpace 𝕜 n) : edist x y = (∑ i, edist (x i) (y i) ^ 2) ^ (1 / 2 : ℝ) := PiLp.edist_eq_of_L2 x y #align euclidean_space.edist_eq EuclideanSpace.edist_eq theorem EuclideanSpace.ball_zero_eq {n : Type*} [Fintype n] (r : ℝ) (hr : 0 ≤ r) : Metric.ball (0 : EuclideanSpace ℝ n) r = {x | ∑ i, x i ^ 2 < r ^ 2} := by ext x have : (0 : ℝ) ≤ ∑ i, x i ^ 2 := Finset.sum_nonneg fun _ _ => sq_nonneg _ simp_rw [mem_setOf, mem_ball_zero_iff, norm_eq, norm_eq_abs, sq_abs, sqrt_lt this hr] theorem EuclideanSpace.closedBall_zero_eq {n : Type*} [Fintype n] (r : ℝ) (hr : 0 ≤ r) : Metric.closedBall (0 : EuclideanSpace ℝ n) r = {x | ∑ i, x i ^ 2 ≤ r ^ 2} := by ext simp_rw [mem_setOf, mem_closedBall_zero_iff, norm_eq, norm_eq_abs, sq_abs, sqrt_le_left hr] theorem EuclideanSpace.sphere_zero_eq {n : Type*} [Fintype n] (r : ℝ) (hr : 0 ≤ r) : Metric.sphere (0 : EuclideanSpace ℝ n) r = {x | ∑ i, x i ^ 2 = r ^ 2} := by ext x have : (0 : ℝ) ≤ ∑ i, x i ^ 2 := Finset.sum_nonneg fun _ _ => sq_nonneg _ simp_rw [mem_setOf, mem_sphere_zero_iff_norm, norm_eq, norm_eq_abs, sq_abs, Real.sqrt_eq_iff_sq_eq this hr, eq_comm] section #align euclidean_space.finite_dimensional WithLp.instModuleFinite variable [Fintype ι] #align euclidean_space.inner_product_space PiLp.innerProductSpace @[simp] theorem finrank_euclideanSpace : FiniteDimensional.finrank 𝕜 (EuclideanSpace 𝕜 ι) = Fintype.card ι := by simp [EuclideanSpace, PiLp, WithLp] #align finrank_euclidean_space finrank_euclideanSpace theorem finrank_euclideanSpace_fin {n : ℕ} : FiniteDimensional.finrank 𝕜 (EuclideanSpace 𝕜 (Fin n)) = n := by simp #align finrank_euclidean_space_fin finrank_euclideanSpace_fin theorem EuclideanSpace.inner_eq_star_dotProduct (x y : EuclideanSpace 𝕜 ι) : ⟪x, y⟫ = Matrix.dotProduct (star <| WithLp.equiv _ _ x) (WithLp.equiv _ _ y) := rfl #align euclidean_space.inner_eq_star_dot_product EuclideanSpace.inner_eq_star_dotProduct theorem EuclideanSpace.inner_piLp_equiv_symm (x y : ι → 𝕜) : ⟪(WithLp.equiv 2 _).symm x, (WithLp.equiv 2 _).symm y⟫ = Matrix.dotProduct (star x) y := rfl #align euclidean_space.inner_pi_Lp_equiv_symm EuclideanSpace.inner_piLp_equiv_symm def DirectSum.IsInternal.isometryL2OfOrthogonalFamily [DecidableEq ι] {V : ι → Submodule 𝕜 E} (hV : DirectSum.IsInternal V) (hV' : OrthogonalFamily 𝕜 (fun i => V i) fun i => (V i).subtypeₗᵢ) : E ≃ₗᵢ[𝕜] PiLp 2 fun i => V i := by let e₁ := DirectSum.linearEquivFunOnFintype 𝕜 ι fun i => V i let e₂ := LinearEquiv.ofBijective (DirectSum.coeLinearMap V) hV refine LinearEquiv.isometryOfInner (e₂.symm.trans e₁) ?_ suffices ∀ (v w : PiLp 2 fun i => V i), ⟪v, w⟫ = ⟪e₂ (e₁.symm v), e₂ (e₁.symm w)⟫ by intro v₀ w₀ convert this (e₁ (e₂.symm v₀)) (e₁ (e₂.symm w₀)) <;> simp only [LinearEquiv.symm_apply_apply, LinearEquiv.apply_symm_apply] intro v w trans ⟪∑ i, (V i).subtypeₗᵢ (v i), ∑ i, (V i).subtypeₗᵢ (w i)⟫ · simp only [sum_inner, hV'.inner_right_fintype, PiLp.inner_apply] · congr <;> simp #align direct_sum.is_internal.isometry_L2_of_orthogonal_family DirectSum.IsInternal.isometryL2OfOrthogonalFamily @[simp] theorem DirectSum.IsInternal.isometryL2OfOrthogonalFamily_symm_apply [DecidableEq ι] {V : ι → Submodule 𝕜 E} (hV : DirectSum.IsInternal V) (hV' : OrthogonalFamily 𝕜 (fun i => V i) fun i => (V i).subtypeₗᵢ) (w : PiLp 2 fun i => V i) : (hV.isometryL2OfOrthogonalFamily hV').symm w = ∑ i, (w i : E) := by classical let e₁ := DirectSum.linearEquivFunOnFintype 𝕜 ι fun i => V i let e₂ := LinearEquiv.ofBijective (DirectSum.coeLinearMap V) hV suffices ∀ v : ⨁ i, V i, e₂ v = ∑ i, e₁ v i by exact this (e₁.symm w) intro v -- Porting note: added `DFinsupp.lsum` simp [e₁, e₂, DirectSum.coeLinearMap, DirectSum.toModule, DFinsupp.lsum, DFinsupp.sumAddHom_apply] #align direct_sum.is_internal.isometry_L2_of_orthogonal_family_symm_apply DirectSum.IsInternal.isometryL2OfOrthogonalFamily_symm_apply end variable (ι 𝕜) abbrev EuclideanSpace.equiv : EuclideanSpace 𝕜 ι ≃L[𝕜] ι → 𝕜 := PiLp.continuousLinearEquiv 2 𝕜 _ #align euclidean_space.equiv EuclideanSpace.equiv #noalign euclidean_space.equiv_to_linear_equiv_apply #noalign euclidean_space.equiv_apply #noalign euclidean_space.equiv_to_linear_equiv_symm_apply #noalign euclidean_space.equiv_symm_apply variable {ι 𝕜} -- TODO : This should be generalized to `PiLp`. @[simps!] def EuclideanSpace.projₗ (i : ι) : EuclideanSpace 𝕜 ι →ₗ[𝕜] 𝕜 := (LinearMap.proj i).comp (WithLp.linearEquiv 2 𝕜 (ι → 𝕜) : EuclideanSpace 𝕜 ι →ₗ[𝕜] ι → 𝕜) #align euclidean_space.projₗ EuclideanSpace.projₗ #align euclidean_space.projₗ_apply EuclideanSpace.projₗ_apply -- TODO : This should be generalized to `PiLp`. @[simps! apply coe] def EuclideanSpace.proj (i : ι) : EuclideanSpace 𝕜 ι →L[𝕜] 𝕜 := ⟨EuclideanSpace.projₗ i, continuous_apply i⟩ #align euclidean_space.proj EuclideanSpace.proj #align euclidean_space.proj_coe EuclideanSpace.proj_coe #align euclidean_space.proj_apply EuclideanSpace.proj_apply section DecEq variable [DecidableEq ι] -- TODO : This should be generalized to `PiLp`. def EuclideanSpace.single (i : ι) (a : 𝕜) : EuclideanSpace 𝕜 ι := (WithLp.equiv _ _).symm (Pi.single i a) #align euclidean_space.single EuclideanSpace.single @[simp] theorem WithLp.equiv_single (i : ι) (a : 𝕜) : WithLp.equiv _ _ (EuclideanSpace.single i a) = Pi.single i a := rfl #align pi_Lp.equiv_single WithLp.equiv_single @[simp] theorem WithLp.equiv_symm_single (i : ι) (a : 𝕜) : (WithLp.equiv _ _).symm (Pi.single i a) = EuclideanSpace.single i a := rfl #align pi_Lp.equiv_symm_single WithLp.equiv_symm_single @[simp] theorem EuclideanSpace.single_apply (i : ι) (a : 𝕜) (j : ι) : (EuclideanSpace.single i a) j = ite (j = i) a 0 := by rw [EuclideanSpace.single, WithLp.equiv_symm_pi_apply, ← Pi.single_apply i a j] #align euclidean_space.single_apply EuclideanSpace.single_apply variable [Fintype ι]
Mathlib/Analysis/InnerProductSpace/PiL2.lean
278
279
theorem EuclideanSpace.inner_single_left (i : ι) (a : 𝕜) (v : EuclideanSpace 𝕜 ι) : ⟪EuclideanSpace.single i (a : 𝕜), v⟫ = conj a * v i := by
simp [apply_ite conj]
import Mathlib.Algebra.DualNumber import Mathlib.Algebra.QuaternionBasis import Mathlib.Data.Complex.Module import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.CliffordAlgebra.Star import Mathlib.LinearAlgebra.QuadraticForm.Prod #align_import linear_algebra.clifford_algebra.equivs from "leanprover-community/mathlib"@"cf7a7252c1989efe5800e0b3cdfeb4228ac6b40e" open CliffordAlgebra namespace CliffordAlgebraQuaternion open scoped Quaternion open QuaternionAlgebra variable {R : Type*} [CommRing R] (c₁ c₂ : R) def Q : QuadraticForm R (R × R) := (c₁ • QuadraticForm.sq (R := R)).prod (c₂ • QuadraticForm.sq) -- Porting note: Added `(R := R)` set_option linter.uppercaseLean3 false in #align clifford_algebra_quaternion.Q CliffordAlgebraQuaternion.Q @[simp] theorem Q_apply (v : R × R) : Q c₁ c₂ v = c₁ * (v.1 * v.1) + c₂ * (v.2 * v.2) := rfl set_option linter.uppercaseLean3 false in #align clifford_algebra_quaternion.Q_apply CliffordAlgebraQuaternion.Q_apply @[simps i j k] def quaternionBasis : QuaternionAlgebra.Basis (CliffordAlgebra (Q c₁ c₂)) c₁ c₂ where i := ι (Q c₁ c₂) (1, 0) j := ι (Q c₁ c₂) (0, 1) k := ι (Q c₁ c₂) (1, 0) * ι (Q c₁ c₂) (0, 1) i_mul_i := by rw [ι_sq_scalar, Q_apply, ← Algebra.algebraMap_eq_smul_one] simp j_mul_j := by rw [ι_sq_scalar, Q_apply, ← Algebra.algebraMap_eq_smul_one] simp i_mul_j := rfl j_mul_i := by rw [eq_neg_iff_add_eq_zero, ι_mul_ι_add_swap, QuadraticForm.polar] simp #align clifford_algebra_quaternion.quaternion_basis CliffordAlgebraQuaternion.quaternionBasis variable {c₁ c₂} def toQuaternion : CliffordAlgebra (Q c₁ c₂) →ₐ[R] ℍ[R,c₁,c₂] := CliffordAlgebra.lift (Q c₁ c₂) ⟨{ toFun := fun v => (⟨0, v.1, v.2, 0⟩ : ℍ[R,c₁,c₂]) map_add' := fun v₁ v₂ => by simp map_smul' := fun r v => by dsimp; rw [mul_zero] }, fun v => by dsimp ext all_goals dsimp; ring⟩ #align clifford_algebra_quaternion.to_quaternion CliffordAlgebraQuaternion.toQuaternion @[simp] theorem toQuaternion_ι (v : R × R) : toQuaternion (ι (Q c₁ c₂) v) = (⟨0, v.1, v.2, 0⟩ : ℍ[R,c₁,c₂]) := CliffordAlgebra.lift_ι_apply _ _ v #align clifford_algebra_quaternion.to_quaternion_ι CliffordAlgebraQuaternion.toQuaternion_ι theorem toQuaternion_star (c : CliffordAlgebra (Q c₁ c₂)) : toQuaternion (star c) = star (toQuaternion c) := by simp only [CliffordAlgebra.star_def'] induction c using CliffordAlgebra.induction with | algebraMap r => simp only [reverse.commutes, AlgHom.commutes, QuaternionAlgebra.coe_algebraMap, QuaternionAlgebra.star_coe] | ι x => rw [reverse_ι, involute_ι, toQuaternion_ι, AlgHom.map_neg, toQuaternion_ι, QuaternionAlgebra.neg_mk, star_mk, neg_zero] | mul x₁ x₂ hx₁ hx₂ => simp only [reverse.map_mul, AlgHom.map_mul, hx₁, hx₂, star_mul] | add x₁ x₂ hx₁ hx₂ => simp only [reverse.map_add, AlgHom.map_add, hx₁, hx₂, star_add] #align clifford_algebra_quaternion.to_quaternion_star CliffordAlgebraQuaternion.toQuaternion_star def ofQuaternion : ℍ[R,c₁,c₂] →ₐ[R] CliffordAlgebra (Q c₁ c₂) := (quaternionBasis c₁ c₂).liftHom #align clifford_algebra_quaternion.of_quaternion CliffordAlgebraQuaternion.ofQuaternion @[simp] theorem ofQuaternion_mk (a₁ a₂ a₃ a₄ : R) : ofQuaternion (⟨a₁, a₂, a₃, a₄⟩ : ℍ[R,c₁,c₂]) = algebraMap R _ a₁ + a₂ • ι (Q c₁ c₂) (1, 0) + a₃ • ι (Q c₁ c₂) (0, 1) + a₄ • (ι (Q c₁ c₂) (1, 0) * ι (Q c₁ c₂) (0, 1)) := rfl #align clifford_algebra_quaternion.of_quaternion_mk CliffordAlgebraQuaternion.ofQuaternion_mk @[simp]
Mathlib/LinearAlgebra/CliffordAlgebra/Equivs.lean
339
348
theorem ofQuaternion_comp_toQuaternion : ofQuaternion.comp toQuaternion = AlgHom.id R (CliffordAlgebra (Q c₁ c₂)) := by
ext : 1 dsimp -- before we end up with two goals and have to do this twice ext all_goals dsimp rw [toQuaternion_ι] dsimp simp only [toQuaternion_ι, zero_smul, one_smul, zero_add, add_zero, RingHom.map_zero]
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.Solvable import Mathlib.LinearAlgebra.Dual #align_import algebra.lie.character from "leanprover-community/mathlib"@"132328c4dd48da87adca5d408ca54f315282b719" universe u v w w₁ namespace LieAlgebra variable (R : Type u) (L : Type v) [CommRing R] [LieRing L] [LieAlgebra R L] abbrev LieCharacter := L →ₗ⁅R⁆ R #align lie_algebra.lie_character LieAlgebra.LieCharacter variable {R L} -- @[simp] -- Porting note: simp normal form is the LHS of `lieCharacter_apply_lie'`
Mathlib/Algebra/Lie/Character.lean
44
45
theorem lieCharacter_apply_lie (χ : LieCharacter R L) (x y : L) : χ ⁅x, y⁆ = 0 := by
rw [LieHom.map_lie, LieRing.of_associative_ring_bracket, mul_comm, sub_self]
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp] theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero] #align ordinal.zero_opow Ordinal.zero_opow @[simp] theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by by_cases h : a = 0 · simp only [opow_def, if_pos h, sub_zero] · simp only [opow_def, if_neg h, limitRecOn_zero] #align ordinal.opow_zero Ordinal.opow_zero @[simp] theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a := if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero] else by simp only [opow_def, limitRecOn_succ, if_neg h] #align ordinal.opow_succ Ordinal.opow_succ theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b = bsup.{u, u} b fun c _ => a ^ c := by simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h] #align ordinal.opow_limit Ordinal.opow_limit theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by rw [opow_limit a0 h, bsup_le_iff] #align ordinal.opow_le_of_limit Ordinal.opow_le_of_limit theorem lt_opow_of_limit {a b c : Ordinal} (b0 : b ≠ 0) (h : IsLimit c) : a < b ^ c ↔ ∃ c' < c, a < b ^ c' := by rw [← not_iff_not, not_exists]; simp only [not_lt, opow_le_of_limit b0 h, exists_prop, not_and] #align ordinal.lt_opow_of_limit Ordinal.lt_opow_of_limit @[simp] theorem opow_one (a : Ordinal) : a ^ (1 : Ordinal) = a := by rw [← succ_zero, opow_succ]; simp only [opow_zero, one_mul] #align ordinal.opow_one Ordinal.opow_one @[simp] theorem one_opow (a : Ordinal) : (1 : Ordinal) ^ a = 1 := by induction a using limitRecOn with | H₁ => simp only [opow_zero] | H₂ _ ih => simp only [opow_succ, ih, mul_one] | H₃ b l IH => refine eq_of_forall_ge_iff fun c => ?_ rw [opow_le_of_limit Ordinal.one_ne_zero l] exact ⟨fun H => by simpa only [opow_zero] using H 0 l.pos, fun H b' h => by rwa [IH _ h]⟩ #align ordinal.one_opow Ordinal.one_opow theorem opow_pos {a : Ordinal} (b : Ordinal) (a0 : 0 < a) : 0 < a ^ b := by have h0 : 0 < a ^ (0 : Ordinal) := by simp only [opow_zero, zero_lt_one] induction b using limitRecOn with | H₁ => exact h0 | H₂ b IH => rw [opow_succ] exact mul_pos IH a0 | H₃ b l _ => exact (lt_opow_of_limit (Ordinal.pos_iff_ne_zero.1 a0) l).2 ⟨0, l.pos, h0⟩ #align ordinal.opow_pos Ordinal.opow_pos theorem opow_ne_zero {a : Ordinal} (b : Ordinal) (a0 : a ≠ 0) : a ^ b ≠ 0 := Ordinal.pos_iff_ne_zero.1 <| opow_pos b <| Ordinal.pos_iff_ne_zero.2 a0 #align ordinal.opow_ne_zero Ordinal.opow_ne_zero theorem opow_isNormal {a : Ordinal} (h : 1 < a) : IsNormal (a ^ ·) := have a0 : 0 < a := zero_lt_one.trans h ⟨fun b => by simpa only [mul_one, opow_succ] using (mul_lt_mul_iff_left (opow_pos b a0)).2 h, fun b l c => opow_le_of_limit (ne_of_gt a0) l⟩ #align ordinal.opow_is_normal Ordinal.opow_isNormal theorem opow_lt_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b < a ^ c ↔ b < c := (opow_isNormal a1).lt_iff #align ordinal.opow_lt_opow_iff_right Ordinal.opow_lt_opow_iff_right theorem opow_le_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b ≤ a ^ c ↔ b ≤ c := (opow_isNormal a1).le_iff #align ordinal.opow_le_opow_iff_right Ordinal.opow_le_opow_iff_right theorem opow_right_inj {a b c : Ordinal} (a1 : 1 < a) : a ^ b = a ^ c ↔ b = c := (opow_isNormal a1).inj #align ordinal.opow_right_inj Ordinal.opow_right_inj theorem opow_isLimit {a b : Ordinal} (a1 : 1 < a) : IsLimit b → IsLimit (a ^ b) := (opow_isNormal a1).isLimit #align ordinal.opow_is_limit Ordinal.opow_isLimit theorem opow_isLimit_left {a b : Ordinal} (l : IsLimit a) (hb : b ≠ 0) : IsLimit (a ^ b) := by rcases zero_or_succ_or_limit b with (e | ⟨b, rfl⟩ | l') · exact absurd e hb · rw [opow_succ] exact mul_isLimit (opow_pos _ l.pos) l · exact opow_isLimit l.one_lt l' #align ordinal.opow_is_limit_left Ordinal.opow_isLimit_left theorem opow_le_opow_right {a b c : Ordinal} (h₁ : 0 < a) (h₂ : b ≤ c) : a ^ b ≤ a ^ c := by rcases lt_or_eq_of_le (one_le_iff_pos.2 h₁) with h₁ | h₁ · exact (opow_le_opow_iff_right h₁).2 h₂ · subst a -- Porting note: `le_refl` is required. simp only [one_opow, le_refl] #align ordinal.opow_le_opow_right Ordinal.opow_le_opow_right theorem opow_le_opow_left {a b : Ordinal} (c : Ordinal) (ab : a ≤ b) : a ^ c ≤ b ^ c := by by_cases a0 : a = 0 -- Porting note: `le_refl` is required. · subst a by_cases c0 : c = 0 · subst c simp only [opow_zero, le_refl] · simp only [zero_opow c0, Ordinal.zero_le] · induction c using limitRecOn with | H₁ => simp only [opow_zero, le_refl] | H₂ c IH => simpa only [opow_succ] using mul_le_mul' IH ab | H₃ c l IH => exact (opow_le_of_limit a0 l).2 fun b' h => (IH _ h).trans (opow_le_opow_right ((Ordinal.pos_iff_ne_zero.2 a0).trans_le ab) h.le) #align ordinal.opow_le_opow_left Ordinal.opow_le_opow_left theorem left_le_opow (a : Ordinal) {b : Ordinal} (b1 : 0 < b) : a ≤ a ^ b := by nth_rw 1 [← opow_one a] cases' le_or_gt a 1 with a1 a1 · rcases lt_or_eq_of_le a1 with a0 | a1 · rw [lt_one_iff_zero] at a0 rw [a0, zero_opow Ordinal.one_ne_zero] exact Ordinal.zero_le _ rw [a1, one_opow, one_opow] rwa [opow_le_opow_iff_right a1, one_le_iff_pos] #align ordinal.left_le_opow Ordinal.left_le_opow theorem right_le_opow {a : Ordinal} (b : Ordinal) (a1 : 1 < a) : b ≤ a ^ b := (opow_isNormal a1).self_le _ #align ordinal.right_le_opow Ordinal.right_le_opow theorem opow_lt_opow_left_of_succ {a b c : Ordinal} (ab : a < b) : a ^ succ c < b ^ succ c := by rw [opow_succ, opow_succ] exact (mul_le_mul_right' (opow_le_opow_left c ab.le) a).trans_lt (mul_lt_mul_of_pos_left ab (opow_pos c ((Ordinal.zero_le a).trans_lt ab))) #align ordinal.opow_lt_opow_left_of_succ Ordinal.opow_lt_opow_left_of_succ theorem opow_add (a b c : Ordinal) : a ^ (b + c) = a ^ b * a ^ c := by rcases eq_or_ne a 0 with (rfl | a0) · rcases eq_or_ne c 0 with (rfl | c0) · simp have : b + c ≠ 0 := ((Ordinal.pos_iff_ne_zero.2 c0).trans_le (le_add_left _ _)).ne' simp only [zero_opow c0, zero_opow this, mul_zero] rcases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with (rfl | a1) · simp only [one_opow, mul_one] induction c using limitRecOn with | H₁ => simp | H₂ c IH => rw [add_succ, opow_succ, IH, opow_succ, mul_assoc] | H₃ c l IH => refine eq_of_forall_ge_iff fun d => (((opow_isNormal a1).trans (add_isNormal b)).limit_le l).trans ?_ dsimp only [Function.comp_def] simp (config := { contextual := true }) only [IH] exact (((mul_isNormal <| opow_pos b (Ordinal.pos_iff_ne_zero.2 a0)).trans (opow_isNormal a1)).limit_le l).symm #align ordinal.opow_add Ordinal.opow_add theorem opow_one_add (a b : Ordinal) : a ^ (1 + b) = a * a ^ b := by rw [opow_add, opow_one] #align ordinal.opow_one_add Ordinal.opow_one_add theorem opow_dvd_opow (a : Ordinal) {b c : Ordinal} (h : b ≤ c) : a ^ b ∣ a ^ c := ⟨a ^ (c - b), by rw [← opow_add, Ordinal.add_sub_cancel_of_le h]⟩ #align ordinal.opow_dvd_opow Ordinal.opow_dvd_opow theorem opow_dvd_opow_iff {a b c : Ordinal} (a1 : 1 < a) : a ^ b ∣ a ^ c ↔ b ≤ c := ⟨fun h => le_of_not_lt fun hn => not_le_of_lt ((opow_lt_opow_iff_right a1).2 hn) <| le_of_dvd (opow_ne_zero _ <| one_le_iff_ne_zero.1 <| a1.le) h, opow_dvd_opow _⟩ #align ordinal.opow_dvd_opow_iff Ordinal.opow_dvd_opow_iff
Mathlib/SetTheory/Ordinal/Exponential.lean
226
248
theorem opow_mul (a b c : Ordinal) : a ^ (b * c) = (a ^ b) ^ c := by
by_cases b0 : b = 0; · simp only [b0, zero_mul, opow_zero, one_opow] by_cases a0 : a = 0 · subst a by_cases c0 : c = 0 · simp only [c0, mul_zero, opow_zero] simp only [zero_opow b0, zero_opow c0, zero_opow (mul_ne_zero b0 c0)] cases' eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1 · subst a1 simp only [one_opow] induction c using limitRecOn with | H₁ => simp only [mul_zero, opow_zero] | H₂ c IH => rw [mul_succ, opow_add, IH, opow_succ] | H₃ c l IH => refine eq_of_forall_ge_iff fun d => (((opow_isNormal a1).trans (mul_isNormal (Ordinal.pos_iff_ne_zero.2 b0))).limit_le l).trans ?_ dsimp only [Function.comp_def] simp (config := { contextual := true }) only [IH] exact (opow_le_of_limit (opow_ne_zero _ a0) l).symm
import Batteries.Tactic.Init import Batteries.Tactic.Alias import Batteries.Tactic.Lint.Misc instance {f : α → β} [DecidablePred p] : DecidablePred (p ∘ f) := inferInstanceAs <| DecidablePred fun x => p (f x) @[deprecated] alias proofIrrel := proof_irrel theorem Function.id_def : @id α = fun x => x := rfl alias ⟨forall_not_of_not_exists, not_exists_of_forall_not⟩ := not_exists protected alias ⟨Decidable.exists_not_of_not_forall, _⟩ := Decidable.not_forall theorem heq_iff_eq : HEq a b ↔ a = b := ⟨eq_of_heq, heq_of_eq⟩ @[simp] theorem eq_rec_constant {α : Sort _} {a a' : α} {β : Sort _} (y : β) (h : a = a') : (@Eq.rec α a (fun α _ => β) y a' h) = y := by cases h; rfl theorem congrArg₂ (f : α → β → γ) {x x' : α} {y y' : β} (hx : x = x') (hy : y = y') : f x y = f x' y' := by subst hx hy; rfl theorem congrFun₂ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {f g : ∀ a b, γ a b} (h : f = g) (a : α) (b : β a) : f a b = g a b := congrFun (congrFun h _) _ theorem congrFun₃ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {δ : ∀ a b, γ a b → Sort _} {f g : ∀ a b c, δ a b c} (h : f = g) (a : α) (b : β a) (c : γ a b) : f a b c = g a b c := congrFun₂ (congrFun h _) _ _ theorem funext₂ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {f g : ∀ a b, γ a b} (h : ∀ a b, f a b = g a b) : f = g := funext fun _ => funext <| h _ theorem funext₃ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {δ : ∀ a b, γ a b → Sort _} {f g : ∀ a b c, δ a b c} (h : ∀ a b c, f a b c = g a b c) : f = g := funext fun _ => funext₂ <| h _ theorem Function.funext_iff {β : α → Sort u} {f₁ f₂ : ∀ x : α, β x} : f₁ = f₂ ↔ ∀ a, f₁ a = f₂ a := ⟨congrFun, funext⟩ theorem ne_of_apply_ne {α β : Sort _} (f : α → β) {x y : α} : f x ≠ f y → x ≠ y := mt <| congrArg _ protected theorem Eq.congr (h₁ : x₁ = y₁) (h₂ : x₂ = y₂) : x₁ = x₂ ↔ y₁ = y₂ := by subst h₁; subst h₂; rfl theorem Eq.congr_left {x y z : α} (h : x = y) : x = z ↔ y = z := by rw [h] theorem Eq.congr_right {x y z : α} (h : x = y) : z = x ↔ z = y := by rw [h] alias congr_arg := congrArg alias congr_arg₂ := congrArg₂ alias congr_fun := congrFun alias congr_fun₂ := congrFun₂ alias congr_fun₃ := congrFun₃ theorem heq_of_cast_eq : ∀ (e : α = β) (_ : cast e a = a'), HEq a a' | rfl, rfl => .rfl theorem cast_eq_iff_heq : cast e a = a' ↔ HEq a a' := ⟨heq_of_cast_eq _, fun h => by cases h; rfl⟩ theorem eqRec_eq_cast {α : Sort _} {a : α} {motive : (a' : α) → a = a' → Sort _} (x : motive a (rfl : a = a)) {a' : α} (e : a = a') : @Eq.rec α a motive x a' e = cast (e ▸ rfl) x := by subst e; rfl --Porting note: new theorem. More general version of `eqRec_heq` theorem eqRec_heq_self {α : Sort _} {a : α} {motive : (a' : α) → a = a' → Sort _} (x : motive a (rfl : a = a)) {a' : α} (e : a = a') : HEq (@Eq.rec α a motive x a' e) x := by subst e; rfl @[simp] theorem eqRec_heq_iff_heq {α : Sort _} {a : α} {motive : (a' : α) → a = a' → Sort _} (x : motive a (rfl : a = a)) {a' : α} (e : a = a') {β : Sort _} (y : β) : HEq (@Eq.rec α a motive x a' e) y ↔ HEq x y := by subst e; rfl @[simp]
.lake/packages/batteries/Batteries/Logic.lean
106
109
theorem heq_eqRec_iff_heq {α : Sort _} {a : α} {motive : (a' : α) → a = a' → Sort _} (x : motive a (rfl : a = a)) {a' : α} (e : a = a') {β : Sort _} (y : β) : HEq y (@Eq.rec α a motive x a' e) ↔ HEq y x := by
subst e; rfl
import Mathlib.LinearAlgebra.Span import Mathlib.RingTheory.Ideal.IsPrimary import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.RingTheory.Noetherian #align_import ring_theory.ideal.associated_prime from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {R : Type*} [CommRing R] (I J : Ideal R) (M : Type*) [AddCommGroup M] [Module R M] def IsAssociatedPrime : Prop := I.IsPrime ∧ ∃ x : M, I = (R ∙ x).annihilator #align is_associated_prime IsAssociatedPrime variable (R) def associatedPrimes : Set (Ideal R) := { I | IsAssociatedPrime I M } #align associated_primes associatedPrimes variable {I J M R} variable {M' : Type*} [AddCommGroup M'] [Module R M'] (f : M →ₗ[R] M') theorem AssociatePrimes.mem_iff : I ∈ associatedPrimes R M ↔ IsAssociatedPrime I M := Iff.rfl #align associate_primes.mem_iff AssociatePrimes.mem_iff theorem IsAssociatedPrime.isPrime (h : IsAssociatedPrime I M) : I.IsPrime := h.1 #align is_associated_prime.is_prime IsAssociatedPrime.isPrime theorem IsAssociatedPrime.map_of_injective (h : IsAssociatedPrime I M) (hf : Function.Injective f) : IsAssociatedPrime I M' := by obtain ⟨x, rfl⟩ := h.2 refine ⟨h.1, ⟨f x, ?_⟩⟩ ext r rw [Submodule.mem_annihilator_span_singleton, Submodule.mem_annihilator_span_singleton, ← map_smul, ← f.map_zero, hf.eq_iff] #align is_associated_prime.map_of_injective IsAssociatedPrime.map_of_injective theorem LinearEquiv.isAssociatedPrime_iff (l : M ≃ₗ[R] M') : IsAssociatedPrime I M ↔ IsAssociatedPrime I M' := ⟨fun h => h.map_of_injective l l.injective, fun h => h.map_of_injective l.symm l.symm.injective⟩ #align linear_equiv.is_associated_prime_iff LinearEquiv.isAssociatedPrime_iff theorem not_isAssociatedPrime_of_subsingleton [Subsingleton M] : ¬IsAssociatedPrime I M := by rintro ⟨hI, x, hx⟩ apply hI.ne_top rwa [Subsingleton.elim x 0, Submodule.span_singleton_eq_bot.mpr rfl, Submodule.annihilator_bot] at hx #align not_is_associated_prime_of_subsingleton not_isAssociatedPrime_of_subsingleton variable (R) theorem exists_le_isAssociatedPrime_of_isNoetherianRing [H : IsNoetherianRing R] (x : M) (hx : x ≠ 0) : ∃ P : Ideal R, IsAssociatedPrime P M ∧ (R ∙ x).annihilator ≤ P := by have : (R ∙ x).annihilator ≠ ⊤ := by rwa [Ne, Ideal.eq_top_iff_one, Submodule.mem_annihilator_span_singleton, one_smul] obtain ⟨P, ⟨l, h₁, y, rfl⟩, h₃⟩ := set_has_maximal_iff_noetherian.mpr H { P | (R ∙ x).annihilator ≤ P ∧ P ≠ ⊤ ∧ ∃ y : M, P = (R ∙ y).annihilator } ⟨(R ∙ x).annihilator, rfl.le, this, x, rfl⟩ refine ⟨_, ⟨⟨h₁, ?_⟩, y, rfl⟩, l⟩ intro a b hab rw [or_iff_not_imp_left] intro ha rw [Submodule.mem_annihilator_span_singleton] at ha hab have H₁ : (R ∙ y).annihilator ≤ (R ∙ a • y).annihilator := by intro c hc rw [Submodule.mem_annihilator_span_singleton] at hc ⊢ rw [smul_comm, hc, smul_zero] have H₂ : (Submodule.span R {a • y}).annihilator ≠ ⊤ := by rwa [Ne, Submodule.annihilator_eq_top_iff, Submodule.span_singleton_eq_bot] rwa [H₁.eq_of_not_lt (h₃ (R ∙ a • y).annihilator ⟨l.trans H₁, H₂, _, rfl⟩), Submodule.mem_annihilator_span_singleton, smul_comm, smul_smul] #align exists_le_is_associated_prime_of_is_noetherian_ring exists_le_isAssociatedPrime_of_isNoetherianRing variable {R} theorem associatedPrimes.subset_of_injective (hf : Function.Injective f) : associatedPrimes R M ⊆ associatedPrimes R M' := fun _I h => h.map_of_injective f hf #align associated_primes.subset_of_injective associatedPrimes.subset_of_injective theorem LinearEquiv.AssociatedPrimes.eq (l : M ≃ₗ[R] M') : associatedPrimes R M = associatedPrimes R M' := le_antisymm (associatedPrimes.subset_of_injective l l.injective) (associatedPrimes.subset_of_injective l.symm l.symm.injective) #align linear_equiv.associated_primes.eq LinearEquiv.AssociatedPrimes.eq
Mathlib/RingTheory/Ideal/AssociatedPrime.lean
118
120
theorem associatedPrimes.eq_empty_of_subsingleton [Subsingleton M] : associatedPrimes R M = ∅ := by
ext; simp only [Set.mem_empty_iff_false, iff_false_iff]; apply not_isAssociatedPrime_of_subsingleton
import Mathlib.MeasureTheory.Group.Action import Mathlib.MeasureTheory.Integral.SetIntegral import Mathlib.MeasureTheory.Group.Pointwise #align_import measure_theory.group.fundamental_domain from "leanprover-community/mathlib"@"3b52265189f3fb43aa631edffce5d060fafaf82f" open scoped ENNReal Pointwise Topology NNReal ENNReal MeasureTheory open MeasureTheory MeasureTheory.Measure Set Function TopologicalSpace Filter namespace MeasureTheory structure IsAddFundamentalDomain (G : Type*) {α : Type*} [Zero G] [VAdd G α] [MeasurableSpace α] (s : Set α) (μ : Measure α := by volume_tac) : Prop where protected nullMeasurableSet : NullMeasurableSet s μ protected ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g +ᵥ x ∈ s protected aedisjoint : Pairwise <| (AEDisjoint μ on fun g : G => g +ᵥ s) #align measure_theory.is_add_fundamental_domain MeasureTheory.IsAddFundamentalDomain @[to_additive IsAddFundamentalDomain] structure IsFundamentalDomain (G : Type*) {α : Type*} [One G] [SMul G α] [MeasurableSpace α] (s : Set α) (μ : Measure α := by volume_tac) : Prop where protected nullMeasurableSet : NullMeasurableSet s μ protected ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g • x ∈ s protected aedisjoint : Pairwise <| (AEDisjoint μ on fun g : G => g • s) #align measure_theory.is_fundamental_domain MeasureTheory.IsFundamentalDomain variable {G H α β E : Type*} section MeasurableSpace variable (G) [Group G] [MulAction G α] (s : Set α) {x : α} @[to_additive MeasureTheory.addFundamentalFrontier "The boundary of a fundamental domain, those points of the domain that also lie in a nontrivial translate."] def fundamentalFrontier : Set α := s ∩ ⋃ (g : G) (_ : g ≠ 1), g • s #align measure_theory.fundamental_frontier MeasureTheory.fundamentalFrontier #align measure_theory.add_fundamental_frontier MeasureTheory.addFundamentalFrontier @[to_additive MeasureTheory.addFundamentalInterior "The interior of a fundamental domain, those points of the domain not lying in any translate."] def fundamentalInterior : Set α := s \ ⋃ (g : G) (_ : g ≠ 1), g • s #align measure_theory.fundamental_interior MeasureTheory.fundamentalInterior #align measure_theory.add_fundamental_interior MeasureTheory.addFundamentalInterior variable {G s} @[to_additive (attr := simp) MeasureTheory.mem_addFundamentalFrontier]
Mathlib/MeasureTheory/Group/FundamentalDomain.lean
588
590
theorem mem_fundamentalFrontier : x ∈ fundamentalFrontier G s ↔ x ∈ s ∧ ∃ g : G, g ≠ 1 ∧ x ∈ g • s := by
simp [fundamentalFrontier]
import Mathlib.Geometry.RingedSpace.LocallyRingedSpace import Mathlib.AlgebraicGeometry.StructureSheaf import Mathlib.RingTheory.Localization.LocalizationLocalization import Mathlib.Topology.Sheaves.SheafCondition.Sites import Mathlib.Topology.Sheaves.Functors import Mathlib.Algebra.Module.LocalizedModule #align_import algebraic_geometry.Spec from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" -- Explicit universe annotations were used in this file to improve perfomance #12737 noncomputable section universe u v namespace AlgebraicGeometry open Opposite open CategoryTheory open StructureSheaf open Spec (structureSheaf) def Spec.topObj (R : CommRingCat.{u}) : TopCat := TopCat.of (PrimeSpectrum R) set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.Top_obj AlgebraicGeometry.Spec.topObj @[simp] theorem Spec.topObj_forget {R} : (forget TopCat).obj (Spec.topObj R) = PrimeSpectrum R := rfl def Spec.topMap {R S : CommRingCat.{u}} (f : R ⟶ S) : Spec.topObj S ⟶ Spec.topObj R := PrimeSpectrum.comap f set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.Top_map AlgebraicGeometry.Spec.topMap @[simp] theorem Spec.topMap_id (R : CommRingCat.{u}) : Spec.topMap (𝟙 R) = 𝟙 (Spec.topObj R) := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.Top_map_id AlgebraicGeometry.Spec.topMap_id @[simp] theorem Spec.topMap_comp {R S T : CommRingCat.{u}} (f : R ⟶ S) (g : S ⟶ T) : Spec.topMap (f ≫ g) = Spec.topMap g ≫ Spec.topMap f := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.Top_map_comp AlgebraicGeometry.Spec.topMap_comp -- Porting note: `simps!` generate some garbage lemmas, so choose manually, -- if more is needed, add them here @[simps! obj map] def Spec.toTop : CommRingCat.{u}ᵒᵖ ⥤ TopCat where obj R := Spec.topObj (unop R) map {R S} f := Spec.topMap f.unop set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_Top AlgebraicGeometry.Spec.toTop @[simps] def Spec.sheafedSpaceObj (R : CommRingCat.{u}) : SheafedSpace CommRingCat where carrier := Spec.topObj R presheaf := (structureSheaf R).1 IsSheaf := (structureSheaf R).2 set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.SheafedSpace_obj AlgebraicGeometry.Spec.sheafedSpaceObj @[simps] def Spec.sheafedSpaceMap {R S : CommRingCat.{u}} (f : R ⟶ S) : Spec.sheafedSpaceObj S ⟶ Spec.sheafedSpaceObj R where base := Spec.topMap f c := { app := fun U => comap f (unop U) ((TopologicalSpace.Opens.map (Spec.topMap f)).obj (unop U)) fun _ => id naturality := fun {_ _} _ => RingHom.ext fun _ => Subtype.eq <| funext fun _ => rfl } set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.SheafedSpace_map AlgebraicGeometry.Spec.sheafedSpaceMap @[simp] theorem Spec.sheafedSpaceMap_id {R : CommRingCat.{u}} : Spec.sheafedSpaceMap (𝟙 R) = 𝟙 (Spec.sheafedSpaceObj R) := AlgebraicGeometry.PresheafedSpace.Hom.ext _ _ (Spec.topMap_id R) <| by ext dsimp erw [comap_id (by simp)] simp set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.SheafedSpace_map_id AlgebraicGeometry.Spec.sheafedSpaceMap_id theorem Spec.sheafedSpaceMap_comp {R S T : CommRingCat.{u}} (f : R ⟶ S) (g : S ⟶ T) : Spec.sheafedSpaceMap (f ≫ g) = Spec.sheafedSpaceMap g ≫ Spec.sheafedSpaceMap f := AlgebraicGeometry.PresheafedSpace.Hom.ext _ _ (Spec.topMap_comp f g) <| by ext -- Porting note: was one liner -- `dsimp, rw category_theory.functor.map_id, rw category.comp_id, erw comap_comp f g, refl` rw [NatTrans.comp_app, sheafedSpaceMap_c_app, whiskerRight_app, eqToHom_refl] erw [(sheafedSpaceObj T).presheaf.map_id, Category.comp_id, comap_comp] rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.SheafedSpace_map_comp AlgebraicGeometry.Spec.sheafedSpaceMap_comp @[simps] def Spec.toSheafedSpace : CommRingCat.{u}ᵒᵖ ⥤ SheafedSpace CommRingCat where obj R := Spec.sheafedSpaceObj (unop R) map f := Spec.sheafedSpaceMap f.unop map_comp f g := by simp [Spec.sheafedSpaceMap_comp] set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_SheafedSpace AlgebraicGeometry.Spec.toSheafedSpace def Spec.toPresheafedSpace : CommRingCat.{u}ᵒᵖ ⥤ PresheafedSpace CommRingCat := Spec.toSheafedSpace ⋙ SheafedSpace.forgetToPresheafedSpace set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_PresheafedSpace AlgebraicGeometry.Spec.toPresheafedSpace @[simp] theorem Spec.toPresheafedSpace_obj (R : CommRingCat.{u}ᵒᵖ) : Spec.toPresheafedSpace.obj R = (Spec.sheafedSpaceObj (unop R)).toPresheafedSpace := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_PresheafedSpace_obj AlgebraicGeometry.Spec.toPresheafedSpace_obj theorem Spec.toPresheafedSpace_obj_op (R : CommRingCat.{u}) : Spec.toPresheafedSpace.obj (op R) = (Spec.sheafedSpaceObj R).toPresheafedSpace := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_PresheafedSpace_obj_op AlgebraicGeometry.Spec.toPresheafedSpace_obj_op @[simp] theorem Spec.toPresheafedSpace_map (R S : CommRingCat.{u}ᵒᵖ) (f : R ⟶ S) : Spec.toPresheafedSpace.map f = Spec.sheafedSpaceMap f.unop := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_PresheafedSpace_map AlgebraicGeometry.Spec.toPresheafedSpace_map theorem Spec.toPresheafedSpace_map_op (R S : CommRingCat.{u}) (f : R ⟶ S) : Spec.toPresheafedSpace.map f.op = Spec.sheafedSpaceMap f := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.Spec.to_PresheafedSpace_map_op AlgebraicGeometry.Spec.toPresheafedSpace_map_op
Mathlib/AlgebraicGeometry/Spec.lean
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theorem Spec.basicOpen_hom_ext {X : RingedSpace.{u}} {R : CommRingCat.{u}} {α β : X ⟶ Spec.sheafedSpaceObj R} (w : α.base = β.base) (h : ∀ r : R, let U := PrimeSpectrum.basicOpen r (toOpen R U ≫ α.c.app (op U)) ≫ X.presheaf.map (eqToHom (by rw [w])) = toOpen R U ≫ β.c.app (op U)) : α = β := by
ext : 1 · exact w · apply ((TopCat.Sheaf.pushforward _ β.base).obj X.sheaf).hom_ext _ PrimeSpectrum.isBasis_basic_opens intro r apply (StructureSheaf.to_basicOpen_epi R r).1 simpa using h r
import Mathlib.Geometry.Manifold.VectorBundle.Basic import Mathlib.Analysis.Convex.Normed #align_import geometry.manifold.vector_bundle.tangent from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" open Bundle Set SmoothManifoldWithCorners PartialHomeomorph ContinuousLinearMap open scoped Manifold Topology Bundle noncomputable section section General variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H : Type*} [TopologicalSpace H] {I : ModelWithCorners 𝕜 E H} {H' : Type*} [TopologicalSpace H'] {I' : ModelWithCorners 𝕜 E' H'} {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable (I) theorem contDiffOn_fderiv_coord_change (i j : atlas H M) : ContDiffOn 𝕜 ∞ (fderivWithin 𝕜 (j.1.extend I ∘ (i.1.extend I).symm) (range I)) ((i.1.extend I).symm ≫ j.1.extend I).source := by have h : ((i.1.extend I).symm ≫ j.1.extend I).source ⊆ range I := by rw [i.1.extend_coord_change_source]; apply image_subset_range intro x hx refine (ContDiffWithinAt.fderivWithin_right ?_ I.unique_diff le_top <| h hx).mono h refine (PartialHomeomorph.contDiffOn_extend_coord_change I (subset_maximalAtlas I j.2) (subset_maximalAtlas I i.2) x hx).mono_of_mem ?_ exact i.1.extend_coord_change_source_mem_nhdsWithin j.1 I hx #align cont_diff_on_fderiv_coord_change contDiffOn_fderiv_coord_change variable (M) open SmoothManifoldWithCorners @[simps indexAt coordChange] def tangentBundleCore : VectorBundleCore 𝕜 M E (atlas H M) where baseSet i := i.1.source isOpen_baseSet i := i.1.open_source indexAt := achart H mem_baseSet_at := mem_chart_source H coordChange i j x := fderivWithin 𝕜 (j.1.extend I ∘ (i.1.extend I).symm) (range I) (i.1.extend I x) coordChange_self i x hx v := by simp only rw [Filter.EventuallyEq.fderivWithin_eq, fderivWithin_id', ContinuousLinearMap.id_apply] · exact I.unique_diff_at_image · filter_upwards [i.1.extend_target_mem_nhdsWithin I hx] with y hy exact (i.1.extend I).right_inv hy · simp_rw [Function.comp_apply, i.1.extend_left_inv I hx] continuousOn_coordChange i j := by refine (contDiffOn_fderiv_coord_change I i j).continuousOn.comp ((i.1.continuousOn_extend I).mono ?_) ?_ · rw [i.1.extend_source]; exact inter_subset_left simp_rw [← i.1.extend_image_source_inter, mapsTo_image] coordChange_comp := by rintro i j k x ⟨⟨hxi, hxj⟩, hxk⟩ v rw [fderivWithin_fderivWithin, Filter.EventuallyEq.fderivWithin_eq] · have := i.1.extend_preimage_mem_nhds I hxi (j.1.extend_source_mem_nhds I hxj) filter_upwards [nhdsWithin_le_nhds this] with y hy simp_rw [Function.comp_apply, (j.1.extend I).left_inv hy] · simp_rw [Function.comp_apply, i.1.extend_left_inv I hxi, j.1.extend_left_inv I hxj] · exact (contDiffWithinAt_extend_coord_change' I (subset_maximalAtlas I k.2) (subset_maximalAtlas I j.2) hxk hxj).differentiableWithinAt le_top · exact (contDiffWithinAt_extend_coord_change' I (subset_maximalAtlas I j.2) (subset_maximalAtlas I i.2) hxj hxi).differentiableWithinAt le_top · intro x _; exact mem_range_self _ · exact I.unique_diff_at_image · rw [Function.comp_apply, i.1.extend_left_inv I hxi] #align tangent_bundle_core tangentBundleCore -- Porting note: moved to a separate `simp high` lemma b/c `simp` can simplify the LHS @[simp high] theorem tangentBundleCore_baseSet (i) : (tangentBundleCore I M).baseSet i = i.1.source := rfl variable {M} theorem tangentBundleCore_coordChange_achart (x x' z : M) : (tangentBundleCore I M).coordChange (achart H x) (achart H x') z = fderivWithin 𝕜 (extChartAt I x' ∘ (extChartAt I x).symm) (range I) (extChartAt I x z) := rfl #align tangent_bundle_core_coord_change_achart tangentBundleCore_coordChange_achart @[nolint unusedArguments] def TangentSpace {𝕜} [NontriviallyNormedField 𝕜] {E} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] (_x : M) : Type* := E -- Porting note: was deriving TopologicalSpace, AddCommGroup, TopologicalAddGroup #align tangent_space TangentSpace instance {x : M} : TopologicalSpace (TangentSpace I x) := inferInstanceAs (TopologicalSpace E) instance {x : M} : AddCommGroup (TangentSpace I x) := inferInstanceAs (AddCommGroup E) instance {x : M} : TopologicalAddGroup (TangentSpace I x) := inferInstanceAs (TopologicalAddGroup E) variable (M) -- is empty if the base manifold is empty -- Porting note(#5171): was nolint has_nonempty_instance abbrev TangentBundle := Bundle.TotalSpace E (TangentSpace I : M → Type _) #align tangent_bundle TangentBundle local notation "TM" => TangentBundle I M section TangentBundleInstances section variable {M} (x : M) instance : Module 𝕜 (TangentSpace I x) := inferInstanceAs (Module 𝕜 E) instance : Inhabited (TangentSpace I x) := ⟨0⟩ -- Porting note: removed unneeded ContinuousAdd (TangentSpace I x) end instance : TopologicalSpace TM := (tangentBundleCore I M).toTopologicalSpace instance TangentSpace.fiberBundle : FiberBundle E (TangentSpace I : M → Type _) := (tangentBundleCore I M).fiberBundle instance TangentSpace.vectorBundle : VectorBundle 𝕜 E (TangentSpace I : M → Type _) := (tangentBundleCore I M).vectorBundle namespace TangentBundle protected theorem chartAt (p : TM) : chartAt (ModelProd H E) p = ((tangentBundleCore I M).toFiberBundleCore.localTriv (achart H p.1)).toPartialHomeomorph ≫ₕ (chartAt H p.1).prod (PartialHomeomorph.refl E) := rfl #align tangent_bundle.chart_at TangentBundle.chartAt theorem chartAt_toPartialEquiv (p : TM) : (chartAt (ModelProd H E) p).toPartialEquiv = (tangentBundleCore I M).toFiberBundleCore.localTrivAsPartialEquiv (achart H p.1) ≫ (chartAt H p.1).toPartialEquiv.prod (PartialEquiv.refl E) := rfl #align tangent_bundle.chart_at_to_local_equiv TangentBundle.chartAt_toPartialEquiv theorem trivializationAt_eq_localTriv (x : M) : trivializationAt E (TangentSpace I) x = (tangentBundleCore I M).toFiberBundleCore.localTriv (achart H x) := rfl #align tangent_bundle.trivialization_at_eq_local_triv TangentBundle.trivializationAt_eq_localTriv @[simp, mfld_simps] theorem trivializationAt_source (x : M) : (trivializationAt E (TangentSpace I) x).source = π E (TangentSpace I) ⁻¹' (chartAt H x).source := rfl #align tangent_bundle.trivialization_at_source TangentBundle.trivializationAt_source @[simp, mfld_simps] theorem trivializationAt_target (x : M) : (trivializationAt E (TangentSpace I) x).target = (chartAt H x).source ×ˢ univ := rfl #align tangent_bundle.trivialization_at_target TangentBundle.trivializationAt_target @[simp, mfld_simps] theorem trivializationAt_baseSet (x : M) : (trivializationAt E (TangentSpace I) x).baseSet = (chartAt H x).source := rfl #align tangent_bundle.trivialization_at_base_set TangentBundle.trivializationAt_baseSet theorem trivializationAt_apply (x : M) (z : TM) : trivializationAt E (TangentSpace I) x z = (z.1, fderivWithin 𝕜 ((chartAt H x).extend I ∘ ((chartAt H z.1).extend I).symm) (range I) ((chartAt H z.1).extend I z.1) z.2) := rfl #align tangent_bundle.trivialization_at_apply TangentBundle.trivializationAt_apply @[simp, mfld_simps] theorem trivializationAt_fst (x : M) (z : TM) : (trivializationAt E (TangentSpace I) x z).1 = z.1 := rfl #align tangent_bundle.trivialization_at_fst TangentBundle.trivializationAt_fst @[simp, mfld_simps] theorem mem_chart_source_iff (p q : TM) : p ∈ (chartAt (ModelProd H E) q).source ↔ p.1 ∈ (chartAt H q.1).source := by simp only [FiberBundle.chartedSpace_chartAt, mfld_simps] #align tangent_bundle.mem_chart_source_iff TangentBundle.mem_chart_source_iff @[simp, mfld_simps] theorem mem_chart_target_iff (p : H × E) (q : TM) : p ∈ (chartAt (ModelProd H E) q).target ↔ p.1 ∈ (chartAt H q.1).target := by simp only [FiberBundle.chartedSpace_chartAt, mfld_simps] rw [PartialEquiv.prod_symm] simp (config := { contextual := true }) only [and_iff_left_iff_imp, mfld_simps] #align tangent_bundle.mem_chart_target_iff TangentBundle.mem_chart_target_iff @[simp, mfld_simps] theorem coe_chartAt_fst (p q : TM) : ((chartAt (ModelProd H E) q) p).1 = chartAt H q.1 p.1 := rfl #align tangent_bundle.coe_chart_at_fst TangentBundle.coe_chartAt_fst @[simp, mfld_simps] theorem coe_chartAt_symm_fst (p : H × E) (q : TM) : ((chartAt (ModelProd H E) q).symm p).1 = ((chartAt H q.1).symm : H → M) p.1 := rfl #align tangent_bundle.coe_chart_at_symm_fst TangentBundle.coe_chartAt_symm_fst @[simp, mfld_simps] theorem trivializationAt_continuousLinearMapAt {b₀ b : M} (hb : b ∈ (trivializationAt E (TangentSpace I) b₀).baseSet) : (trivializationAt E (TangentSpace I) b₀).continuousLinearMapAt 𝕜 b = (tangentBundleCore I M).coordChange (achart H b) (achart H b₀) b := (tangentBundleCore I M).localTriv_continuousLinearMapAt hb #align tangent_bundle.trivialization_at_continuous_linear_map_at TangentBundle.trivializationAt_continuousLinearMapAt @[simp, mfld_simps] theorem trivializationAt_symmL {b₀ b : M} (hb : b ∈ (trivializationAt E (TangentSpace I) b₀).baseSet) : (trivializationAt E (TangentSpace I) b₀).symmL 𝕜 b = (tangentBundleCore I M).coordChange (achart H b₀) (achart H b) b := (tangentBundleCore I M).localTriv_symmL hb set_option linter.uppercaseLean3 false in #align tangent_bundle.trivialization_at_symmL TangentBundle.trivializationAt_symmL -- Porting note: `simp` simplifies LHS to `.id _ _` @[simp high, mfld_simps] theorem coordChange_model_space (b b' x : F) : (tangentBundleCore 𝓘(𝕜, F) F).coordChange (achart F b) (achart F b') x = 1 := by simpa only [tangentBundleCore_coordChange, mfld_simps] using fderivWithin_id uniqueDiffWithinAt_univ #align tangent_bundle.coord_change_model_space TangentBundle.coordChange_model_space -- Porting note: `simp` simplifies LHS to `.id _ _` @[simp high, mfld_simps] theorem symmL_model_space (b b' : F) : (trivializationAt F (TangentSpace 𝓘(𝕜, F)) b).symmL 𝕜 b' = (1 : F →L[𝕜] F) := by rw [TangentBundle.trivializationAt_symmL, coordChange_model_space] apply mem_univ set_option linter.uppercaseLean3 false in #align tangent_bundle.symmL_model_space TangentBundle.symmL_model_space -- Porting note: `simp` simplifies LHS to `.id _ _` @[simp high, mfld_simps]
Mathlib/Geometry/Manifold/VectorBundle/Tangent.lean
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theorem continuousLinearMapAt_model_space (b b' : F) : (trivializationAt F (TangentSpace 𝓘(𝕜, F)) b).continuousLinearMapAt 𝕜 b' = (1 : F →L[𝕜] F) := by
rw [TangentBundle.trivializationAt_continuousLinearMapAt, coordChange_model_space] apply mem_univ
import Batteries.Data.RBMap.Alter import Batteries.Data.List.Lemmas namespace Batteries namespace RBNode open RBColor attribute [simp] fold foldl foldr Any forM foldlM Ordered @[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by unfold RBNode.max?; split <;> simp [RBNode.min?] unfold RBNode.min?; rw [min?.match_1.eq_3] · apply min?_reverse · simpa [reverse_eq_iff] @[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by rw [← min?_reverse, reverse_reverse] @[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem] @[simp] theorem mem_node {y c a x b} : y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem] theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by induction t <;> simp [or_imp, forall_and, *] theorem Any_def {t : RBNode α} : t.Any p ↔ ∃ x ∈ t, p x := by induction t <;> simp [or_and_right, exists_or, *] theorem memP_def : MemP cut t ↔ ∃ x ∈ t, cut x = .eq := Any_def theorem mem_def : Mem cmp x t ↔ ∃ y ∈ t, cmp x y = .eq := Any_def theorem mem_congr [@TransCmp α cmp] {t : RBNode α} (h : cmp x y = .eq) : Mem cmp x t ↔ Mem cmp y t := by simp [Mem, TransCmp.cmp_congr_left' h] theorem isOrdered_iff' [@TransCmp α cmp] {t : RBNode α} : isOrdered cmp t L R ↔ (∀ a ∈ L, t.All (cmpLT cmp a ·)) ∧ (∀ a ∈ R, t.All (cmpLT cmp · a)) ∧ (∀ a ∈ L, ∀ b ∈ R, cmpLT cmp a b) ∧ Ordered cmp t := by induction t generalizing L R with | nil => simp [isOrdered]; split <;> simp [cmpLT_iff] next h => intro _ ha _ hb; cases h _ _ ha hb | node _ l v r => simp [isOrdered, *] exact ⟨ fun ⟨⟨Ll, lv, Lv, ol⟩, ⟨vr, rR, vR, or⟩⟩ => ⟨ fun _ h => ⟨Lv _ h, Ll _ h, (Lv _ h).trans_l vr⟩, fun _ h => ⟨vR _ h, (vR _ h).trans_r lv, rR _ h⟩, fun _ hL _ hR => (Lv _ hL).trans (vR _ hR), lv, vr, ol, or⟩, fun ⟨hL, hR, _, lv, vr, ol, or⟩ => ⟨ ⟨fun _ h => (hL _ h).2.1, lv, fun _ h => (hL _ h).1, ol⟩, ⟨vr, fun _ h => (hR _ h).2.2, fun _ h => (hR _ h).1, or⟩⟩⟩ theorem isOrdered_iff [@TransCmp α cmp] {t : RBNode α} : isOrdered cmp t ↔ Ordered cmp t := by simp [isOrdered_iff'] instance (cmp) [@TransCmp α cmp] (t) : Decidable (Ordered cmp t) := decidable_of_iff _ isOrdered_iff class IsCut (cmp : α → α → Ordering) (cut : α → Ordering) : Prop where le_lt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut x = .lt → cut y = .lt le_gt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut y = .gt → cut x = .gt theorem IsCut.lt_trans [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .lt) : cut x = .lt → cut y = .lt := IsCut.le_lt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H theorem IsCut.gt_trans [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .lt) : cut y = .gt → cut x = .gt := IsCut.le_gt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H theorem IsCut.congr [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .eq) : cut x = cut y := by cases ey : cut y · exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h) ey · cases ex : cut x · exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans h) ex |>.symm.trans ey · rfl · refine IsCut.le_gt_trans (cmp := cmp) (fun h => ?_) ex |>.symm.trans ey cases H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h · exact IsCut.le_gt_trans (fun h => nomatch H.symm.trans h) ey instance (cmp cut) [@IsCut α cmp cut] : IsCut (flip cmp) (cut · |>.swap) where le_lt_trans h₁ h₂ := by have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp))) rw [IsCut.le_gt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl le_gt_trans h₁ h₂ := by have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp))) rw [IsCut.le_lt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl class IsStrictCut (cmp : α → α → Ordering) (cut : α → Ordering) extends IsCut cmp cut : Prop where exact [TransCmp cmp] : cut x = .eq → cmp x y = cut y instance (cmp) (a : α) : IsStrictCut cmp (cmp a) where le_lt_trans h₁ h₂ := TransCmp.lt_le_trans h₂ h₁ le_gt_trans h₁ := Decidable.not_imp_not.1 (TransCmp.le_trans · h₁) exact h := (TransCmp.cmp_congr_left h).symm instance (cmp cut) [@IsStrictCut α cmp cut] : IsStrictCut (flip cmp) (cut · |>.swap) where exact h := by have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp))) rw [← IsStrictCut.exact (cmp := cmp) (Ordering.swap_inj.1 h), OrientedCmp.symm]; rfl section fold theorem foldr_cons (t : RBNode α) (l) : t.foldr (·::·) l = t.toList ++ l := by unfold toList induction t generalizing l with | nil => rfl | node _ a _ b iha ihb => rw [foldr, foldr, iha, iha (_::_), ihb]; simp @[simp] theorem toList_nil : (.nil : RBNode α).toList = [] := rfl @[simp] theorem toList_node : (.node c a x b : RBNode α).toList = a.toList ++ x :: b.toList := by rw [toList, foldr, foldr_cons]; rfl @[simp] theorem toList_reverse (t : RBNode α) : t.reverse.toList = t.toList.reverse := by induction t <;> simp [*] @[simp] theorem mem_toList {t : RBNode α} : x ∈ t.toList ↔ x ∈ t := by induction t <;> simp [*, or_left_comm] @[simp] theorem mem_reverse {t : RBNode α} : a ∈ t.reverse ↔ a ∈ t := by rw [← mem_toList]; simp
.lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean
150
155
theorem min?_eq_toList_head? {t : RBNode α} : t.min? = t.toList.head? := by
induction t with | nil => rfl | node _ l _ _ ih => cases l <;> simp [RBNode.min?, ih] next ll _ _ => cases toList ll <;> rfl
import Mathlib.CategoryTheory.Limits.Preserves.Opposites import Mathlib.Topology.Category.TopCat.Yoneda import Mathlib.Condensed.Explicit universe w w' v u open CategoryTheory Opposite Limits regularTopology ContinuousMap variable {C : Type u} [Category.{v} C] (G : C ⥤ TopCat.{w}) (X : Type w') [TopologicalSpace X] theorem factorsThrough_of_pullbackCondition {Z B : C} {π : Z ⟶ B} [HasPullback π π] [PreservesLimit (cospan π π) G] {a : C(G.obj Z, X)} (ha : a ∘ (G.map pullback.fst) = a ∘ (G.map (pullback.snd (f := π) (g := π)))) : Function.FactorsThrough a (G.map π) := by intro x y hxy let xy : G.obj (pullback π π) := (PreservesPullback.iso G π π).inv <| (TopCat.pullbackIsoProdSubtype (G.map π) (G.map π)).inv ⟨(x, y), hxy⟩ have ha' := congr_fun ha xy dsimp at ha' have h₁ : ∀ y, G.map pullback.fst ((PreservesPullback.iso G π π).inv y) = pullback.fst (f := G.map π) (g := G.map π) y := by simp only [← PreservesPullback.iso_inv_fst]; intro y; rfl have h₂ : ∀ y, G.map pullback.snd ((PreservesPullback.iso G π π).inv y) = pullback.snd (f := G.map π) (g := G.map π) y := by simp only [← PreservesPullback.iso_inv_snd]; intro y; rfl erw [h₁, h₂, TopCat.pullbackIsoProdSubtype_inv_fst_apply, TopCat.pullbackIsoProdSubtype_inv_snd_apply] at ha' simpa using ha'
Mathlib/Condensed/TopComparison.lean
65
86
theorem equalizerCondition_yonedaPresheaf [∀ (Z B : C) (π : Z ⟶ B) [EffectiveEpi π], PreservesLimit (cospan π π) G] (hq : ∀ (Z B : C) (π : Z ⟶ B) [EffectiveEpi π], QuotientMap (G.map π)) : EqualizerCondition (yonedaPresheaf G X) := by
apply EqualizerCondition.mk intro Z B π _ _ refine ⟨fun a b h ↦ ?_, fun ⟨a, ha⟩ ↦ ?_⟩ · simp only [yonedaPresheaf, unop_op, Quiver.Hom.unop_op, Set.coe_setOf, MapToEqualizer, Set.mem_setOf_eq, Subtype.mk.injEq, comp, ContinuousMap.mk.injEq] at h simp only [yonedaPresheaf, unop_op] ext x obtain ⟨y, hy⟩ := (hq Z B π).surjective x rw [← hy] exact congr_fun h y · simp only [yonedaPresheaf, comp, unop_op, Quiver.Hom.unop_op, Set.mem_setOf_eq, ContinuousMap.mk.injEq] at ha simp only [yonedaPresheaf, comp, unop_op, Quiver.Hom.unop_op, Set.coe_setOf, MapToEqualizer, Set.mem_setOf_eq, Subtype.mk.injEq] simp only [yonedaPresheaf, unop_op] at a refine ⟨(hq Z B π).lift a (factorsThrough_of_pullbackCondition G X ha), ?_⟩ congr exact DFunLike.ext'_iff.mp ((hq Z B π).lift_comp a (factorsThrough_of_pullbackCondition G X ha))
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.Measure.Count import Mathlib.Topology.IndicatorConstPointwise import Mathlib.MeasureTheory.Constructions.BorelSpace.Real #align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" assert_not_exists NormedSpace set_option autoImplicit true noncomputable section open Set hiding restrict restrict_apply open Filter ENNReal open Function (support) open scoped Classical open Topology NNReal ENNReal MeasureTheory namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc variable {α β γ δ : Type*} section Lintegral open SimpleFunc variable {m : MeasurableSpace α} {μ ν : Measure α} irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ := ⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ #align measure_theory.lintegral MeasureTheory.lintegral @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = f.lintegral μ := by rw [MeasureTheory.lintegral] exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl) (le_iSup₂_of_le f le_rfl le_rfl) #align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral @[mono] theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by rw [lintegral, lintegral] exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩ #align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono' -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) : lintegral μ f ≤ lintegral ν g := lintegral_mono' h2 hfg theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono' (le_refl μ) hfg #align measure_theory.lintegral_mono MeasureTheory.lintegral_mono -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) : lintegral μ f ≤ lintegral μ g := lintegral_mono hfg theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a) #align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) : ⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by apply le_antisymm · exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i · rw [lintegral] refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_ exact le_of_eq (i.lintegral_eq_lintegral _).symm #align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞} (hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ := lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f) #align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞} (hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ := lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f) #align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set' theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) := lintegral_mono #align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral @[simp] theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const] rfl #align measure_theory.lintegral_const MeasureTheory.lintegral_const theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp #align measure_theory.lintegral_zero MeasureTheory.lintegral_zero theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 := lintegral_zero #align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun -- @[simp] -- Porting note (#10618): simp can prove this theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul] #align measure_theory.lintegral_one MeasureTheory.lintegral_one theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by rw [lintegral_const, Measure.restrict_apply_univ] #align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul] #align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _ in s, c ∂μ < ∞ := by rw [lintegral_const] exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ) #align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc #align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top section variable (μ) theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) : ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀ · exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩ rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩ have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by intro n simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using (hLf n).2 choose g hgm hgf hLg using this refine ⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩ · refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_ exact le_iSup (fun n => g n x) n · exact lintegral_mono fun x => iSup_le fun n => hgf n x #align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq end theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = ⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by rw [lintegral] refine le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩) by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞ · let ψ := φ.map ENNReal.toNNReal replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x) exact le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h)) · have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_) obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb) use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞}) simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const, ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast, restrict_const_lintegral] refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩ simp only [mem_preimage, mem_singleton_iff] at hx simp only [hx, le_top] #align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ φ : α →ₛ ℝ≥0, (∀ x, ↑(φ x) ≤ f x) ∧ ∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by rw [lintegral_eq_nnreal] at h have := ENNReal.lt_add_right h hε erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩] simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩ refine ⟨φ, hle, fun ψ hψ => ?_⟩ have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle) rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add] refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ norm_cast simp only [add_apply, sub_apply, add_tsub_eq_max] rfl #align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) : ⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by simp only [← iSup_apply] exact (monotone_lintegral μ).le_map_iSup #align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) : ⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by convert (monotone_lintegral μ).le_map_iSup₂ f with a simp only [iSup_apply] #align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) : ∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by simp only [← iInf_apply] exact (monotone_lintegral μ).map_iInf_le #align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) : ∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by convert (monotone_lintegral μ).map_iInf₂_le f with a simp only [iInf_apply] #align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩ have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0 rw [lintegral, lintegral] refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_ · intro a by_cases h : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true, indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem] exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg)) · refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_) by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true, not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem] exact (hnt hat).elim #align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg #align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) (hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := set_lintegral_mono_ae hf hg (ae_of_all _ hfg) #align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s) (hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ := set_lintegral_mono_ae' hs (ae_of_all _ hfg) theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ := lintegral_mono' Measure.restrict_le_self le_rfl theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le) #align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by simp only [h] #align measure_theory.lintegral_congr MeasureTheory.lintegral_congr theorem set_lintegral_congr {f : α → ℝ≥0∞} {s t : Set α} (h : s =ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ := by rw [Measure.restrict_congr_set h] #align measure_theory.set_lintegral_congr MeasureTheory.set_lintegral_congr theorem set_lintegral_congr_fun {f g : α → ℝ≥0∞} {s : Set α} (hs : MeasurableSet s) (hfg : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ := by rw [lintegral_congr_ae] rw [EventuallyEq] rwa [ae_restrict_iff' hs] #align measure_theory.set_lintegral_congr_fun MeasureTheory.set_lintegral_congr_fun theorem lintegral_ofReal_le_lintegral_nnnorm (f : α → ℝ) : ∫⁻ x, ENNReal.ofReal (f x) ∂μ ≤ ∫⁻ x, ‖f x‖₊ ∂μ := by simp_rw [← ofReal_norm_eq_coe_nnnorm] refine lintegral_mono fun x => ENNReal.ofReal_le_ofReal ?_ rw [Real.norm_eq_abs] exact le_abs_self (f x) #align measure_theory.lintegral_of_real_le_lintegral_nnnorm MeasureTheory.lintegral_ofReal_le_lintegral_nnnorm theorem lintegral_nnnorm_eq_of_ae_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ᵐ[μ] f) : ∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := by apply lintegral_congr_ae filter_upwards [h_nonneg] with x hx rw [Real.nnnorm_of_nonneg hx, ENNReal.ofReal_eq_coe_nnreal hx] #align measure_theory.lintegral_nnnorm_eq_of_ae_nonneg MeasureTheory.lintegral_nnnorm_eq_of_ae_nonneg theorem lintegral_nnnorm_eq_of_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ f) : ∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := lintegral_nnnorm_eq_of_ae_nonneg (Filter.eventually_of_forall h_nonneg) #align measure_theory.lintegral_nnnorm_eq_of_nonneg MeasureTheory.lintegral_nnnorm_eq_of_nonneg theorem lintegral_iSup {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : Monotone f) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by set c : ℝ≥0 → ℝ≥0∞ := (↑) set F := fun a : α => ⨆ n, f n a refine le_antisymm ?_ (iSup_lintegral_le _) rw [lintegral_eq_nnreal] refine iSup_le fun s => iSup_le fun hsf => ?_ refine ENNReal.le_of_forall_lt_one_mul_le fun a ha => ?_ rcases ENNReal.lt_iff_exists_coe.1 ha with ⟨r, rfl, _⟩ have ha : r < 1 := ENNReal.coe_lt_coe.1 ha let rs := s.map fun a => r * a have eq_rs : rs.map c = (const α r : α →ₛ ℝ≥0∞) * map c s := rfl have eq : ∀ p, rs.map c ⁻¹' {p} = ⋃ n, rs.map c ⁻¹' {p} ∩ { a | p ≤ f n a } := by intro p rw [← inter_iUnion]; nth_rw 1 [← inter_univ (map c rs ⁻¹' {p})] refine Set.ext fun x => and_congr_right fun hx => true_iff_iff.2 ?_ by_cases p_eq : p = 0 · simp [p_eq] simp only [coe_map, mem_preimage, Function.comp_apply, mem_singleton_iff] at hx subst hx have : r * s x ≠ 0 := by rwa [Ne, ← ENNReal.coe_eq_zero] have : s x ≠ 0 := right_ne_zero_of_mul this have : (rs.map c) x < ⨆ n : ℕ, f n x := by refine lt_of_lt_of_le (ENNReal.coe_lt_coe.2 ?_) (hsf x) suffices r * s x < 1 * s x by simpa exact mul_lt_mul_of_pos_right ha (pos_iff_ne_zero.2 this) rcases lt_iSup_iff.1 this with ⟨i, hi⟩ exact mem_iUnion.2 ⟨i, le_of_lt hi⟩ have mono : ∀ r : ℝ≥0∞, Monotone fun n => rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a } := by intro r i j h refine inter_subset_inter_right _ ?_ simp_rw [subset_def, mem_setOf] intro x hx exact le_trans hx (h_mono h x) have h_meas : ∀ n, MeasurableSet {a : α | map c rs a ≤ f n a} := fun n => measurableSet_le (SimpleFunc.measurable _) (hf n) calc (r : ℝ≥0∞) * (s.map c).lintegral μ = ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r}) := by rw [← const_mul_lintegral, eq_rs, SimpleFunc.lintegral] _ = ∑ r ∈ (rs.map c).range, r * μ (⋃ n, rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by simp only [(eq _).symm] _ = ∑ r ∈ (rs.map c).range, ⨆ n, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := (Finset.sum_congr rfl fun x _ => by rw [measure_iUnion_eq_iSup (mono x).directed_le, ENNReal.mul_iSup]) _ = ⨆ n, ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by refine ENNReal.finset_sum_iSup_nat fun p i j h ↦ ?_ gcongr _ * μ ?_ exact mono p h _ ≤ ⨆ n : ℕ, ((rs.map c).restrict { a | (rs.map c) a ≤ f n a }).lintegral μ := by gcongr with n rw [restrict_lintegral _ (h_meas n)] refine le_of_eq (Finset.sum_congr rfl fun r _ => ?_) congr 2 with a refine and_congr_right ?_ simp (config := { contextual := true }) _ ≤ ⨆ n, ∫⁻ a, f n a ∂μ := by simp only [← SimpleFunc.lintegral_eq_lintegral] gcongr with n a simp only [map_apply] at h_meas simp only [coe_map, restrict_apply _ (h_meas _), (· ∘ ·)] exact indicator_apply_le id #align measure_theory.lintegral_supr MeasureTheory.lintegral_iSup theorem lintegral_iSup' {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by simp_rw [← iSup_apply] let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Monotone f' have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_mono have h_ae_seq_mono : Monotone (aeSeq hf p) := by intro n m hnm x by_cases hx : x ∈ aeSeqSet hf p · exact aeSeq.prop_of_mem_aeSeqSet hf hx hnm · simp only [aeSeq, hx, if_false, le_rfl] rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm] simp_rw [iSup_apply] rw [lintegral_iSup (aeSeq.measurable hf p) h_ae_seq_mono] congr with n exact lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae hf hp n) #align measure_theory.lintegral_supr' MeasureTheory.lintegral_iSup' theorem lintegral_tendsto_of_tendsto_of_monotone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) (h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 <| F x)) : Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 <| ∫⁻ x, F x ∂μ) := by have : Monotone fun n => ∫⁻ x, f n x ∂μ := fun i j hij => lintegral_mono_ae (h_mono.mono fun x hx => hx hij) suffices key : ∫⁻ x, F x ∂μ = ⨆ n, ∫⁻ x, f n x ∂μ by rw [key] exact tendsto_atTop_iSup this rw [← lintegral_iSup' hf h_mono] refine lintegral_congr_ae ?_ filter_upwards [h_mono, h_tendsto] with _ hx_mono hx_tendsto using tendsto_nhds_unique hx_tendsto (tendsto_atTop_iSup hx_mono) #align measure_theory.lintegral_tendsto_of_tendsto_of_monotone MeasureTheory.lintegral_tendsto_of_tendsto_of_monotone theorem lintegral_eq_iSup_eapprox_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a ∂μ = ⨆ n, (eapprox f n).lintegral μ := calc ∫⁻ a, f a ∂μ = ∫⁻ a, ⨆ n, (eapprox f n : α → ℝ≥0∞) a ∂μ := by congr; ext a; rw [iSup_eapprox_apply f hf] _ = ⨆ n, ∫⁻ a, (eapprox f n : α → ℝ≥0∞) a ∂μ := by apply lintegral_iSup · measurability · intro i j h exact monotone_eapprox f h _ = ⨆ n, (eapprox f n).lintegral μ := by congr; ext n; rw [(eapprox f n).lintegral_eq_lintegral] #align measure_theory.lintegral_eq_supr_eapprox_lintegral MeasureTheory.lintegral_eq_iSup_eapprox_lintegral theorem exists_pos_set_lintegral_lt_of_measure_lt {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ δ > 0, ∀ s, μ s < δ → ∫⁻ x in s, f x ∂μ < ε := by rcases exists_between (pos_iff_ne_zero.mpr hε) with ⟨ε₂, hε₂0, hε₂ε⟩ rcases exists_between hε₂0 with ⟨ε₁, hε₁0, hε₁₂⟩ rcases exists_simpleFunc_forall_lintegral_sub_lt_of_pos h hε₁0.ne' with ⟨φ, _, hφ⟩ rcases φ.exists_forall_le with ⟨C, hC⟩ use (ε₂ - ε₁) / C, ENNReal.div_pos_iff.2 ⟨(tsub_pos_iff_lt.2 hε₁₂).ne', ENNReal.coe_ne_top⟩ refine fun s hs => lt_of_le_of_lt ?_ hε₂ε simp only [lintegral_eq_nnreal, iSup_le_iff] intro ψ hψ calc (map (↑) ψ).lintegral (μ.restrict s) ≤ (map (↑) φ).lintegral (μ.restrict s) + (map (↑) (ψ - φ)).lintegral (μ.restrict s) := by rw [← SimpleFunc.add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add] refine SimpleFunc.lintegral_mono (fun x => ?_) le_rfl simp only [add_tsub_eq_max, le_max_right, coe_map, Function.comp_apply, SimpleFunc.coe_add, SimpleFunc.coe_sub, Pi.add_apply, Pi.sub_apply, ENNReal.coe_max (φ x) (ψ x)] _ ≤ (map (↑) φ).lintegral (μ.restrict s) + ε₁ := by gcongr refine le_trans ?_ (hφ _ hψ).le exact SimpleFunc.lintegral_mono le_rfl Measure.restrict_le_self _ ≤ (SimpleFunc.const α (C : ℝ≥0∞)).lintegral (μ.restrict s) + ε₁ := by gcongr exact SimpleFunc.lintegral_mono (fun x ↦ ENNReal.coe_le_coe.2 (hC x)) le_rfl _ = C * μ s + ε₁ := by simp only [← SimpleFunc.lintegral_eq_lintegral, coe_const, lintegral_const, Measure.restrict_apply, MeasurableSet.univ, univ_inter, Function.const] _ ≤ C * ((ε₂ - ε₁) / C) + ε₁ := by gcongr _ ≤ ε₂ - ε₁ + ε₁ := by gcongr; apply mul_div_le _ = ε₂ := tsub_add_cancel_of_le hε₁₂.le #align measure_theory.exists_pos_set_lintegral_lt_of_measure_lt MeasureTheory.exists_pos_set_lintegral_lt_of_measure_lt theorem tendsto_set_lintegral_zero {ι} {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {l : Filter ι} {s : ι → Set α} (hl : Tendsto (μ ∘ s) l (𝓝 0)) : Tendsto (fun i => ∫⁻ x in s i, f x ∂μ) l (𝓝 0) := by simp only [ENNReal.nhds_zero, tendsto_iInf, tendsto_principal, mem_Iio, ← pos_iff_ne_zero] at hl ⊢ intro ε ε0 rcases exists_pos_set_lintegral_lt_of_measure_lt h ε0.ne' with ⟨δ, δ0, hδ⟩ exact (hl δ δ0).mono fun i => hδ _ #align measure_theory.tendsto_set_lintegral_zero MeasureTheory.tendsto_set_lintegral_zero theorem le_lintegral_add (f g : α → ℝ≥0∞) : ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ ≤ ∫⁻ a, f a + g a ∂μ := by simp only [lintegral] refine ENNReal.biSup_add_biSup_le' (p := fun h : α →ₛ ℝ≥0∞ => h ≤ f) (q := fun h : α →ₛ ℝ≥0∞ => h ≤ g) ⟨0, zero_le f⟩ ⟨0, zero_le g⟩ fun f' hf' g' hg' => ?_ exact le_iSup₂_of_le (f' + g') (add_le_add hf' hg') (add_lintegral _ _).ge #align measure_theory.le_lintegral_add MeasureTheory.le_lintegral_add -- Use stronger lemmas `lintegral_add_left`/`lintegral_add_right` instead theorem lintegral_add_aux {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := calc ∫⁻ a, f a + g a ∂μ = ∫⁻ a, (⨆ n, (eapprox f n : α → ℝ≥0∞) a) + ⨆ n, (eapprox g n : α → ℝ≥0∞) a ∂μ := by simp only [iSup_eapprox_apply, hf, hg] _ = ∫⁻ a, ⨆ n, (eapprox f n + eapprox g n : α → ℝ≥0∞) a ∂μ := by congr; funext a rw [ENNReal.iSup_add_iSup_of_monotone] · simp only [Pi.add_apply] · intro i j h exact monotone_eapprox _ h a · intro i j h exact monotone_eapprox _ h a _ = ⨆ n, (eapprox f n).lintegral μ + (eapprox g n).lintegral μ := by rw [lintegral_iSup] · congr funext n rw [← SimpleFunc.add_lintegral, ← SimpleFunc.lintegral_eq_lintegral] simp only [Pi.add_apply, SimpleFunc.coe_add] · measurability · intro i j h a dsimp gcongr <;> exact monotone_eapprox _ h _ _ = (⨆ n, (eapprox f n).lintegral μ) + ⨆ n, (eapprox g n).lintegral μ := by refine (ENNReal.iSup_add_iSup_of_monotone ?_ ?_).symm <;> · intro i j h exact SimpleFunc.lintegral_mono (monotone_eapprox _ h) le_rfl _ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by rw [lintegral_eq_iSup_eapprox_lintegral hf, lintegral_eq_iSup_eapprox_lintegral hg] #align measure_theory.lintegral_add_aux MeasureTheory.lintegral_add_aux @[simp] theorem lintegral_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by refine le_antisymm ?_ (le_lintegral_add _ _) rcases exists_measurable_le_lintegral_eq μ fun a => f a + g a with ⟨φ, hφm, hφ_le, hφ_eq⟩ calc ∫⁻ a, f a + g a ∂μ = ∫⁻ a, φ a ∂μ := hφ_eq _ ≤ ∫⁻ a, f a + (φ a - f a) ∂μ := lintegral_mono fun a => le_add_tsub _ = ∫⁻ a, f a ∂μ + ∫⁻ a, φ a - f a ∂μ := lintegral_add_aux hf (hφm.sub hf) _ ≤ ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := add_le_add_left (lintegral_mono fun a => tsub_le_iff_left.2 <| hφ_le a) _ #align measure_theory.lintegral_add_left MeasureTheory.lintegral_add_left theorem lintegral_add_left' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (g : α → ℝ≥0∞) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by rw [lintegral_congr_ae hf.ae_eq_mk, ← lintegral_add_left hf.measurable_mk, lintegral_congr_ae (hf.ae_eq_mk.add (ae_eq_refl g))] #align measure_theory.lintegral_add_left' MeasureTheory.lintegral_add_left' theorem lintegral_add_right' (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by simpa only [add_comm] using lintegral_add_left' hg f #align measure_theory.lintegral_add_right' MeasureTheory.lintegral_add_right' @[simp] theorem lintegral_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) : ∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := lintegral_add_right' f hg.aemeasurable #align measure_theory.lintegral_add_right MeasureTheory.lintegral_add_right @[simp] theorem lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂c • μ = c * ∫⁻ a, f a ∂μ := by simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_smul, ENNReal.mul_iSup, smul_eq_mul] #align measure_theory.lintegral_smul_measure MeasureTheory.lintegral_smul_measure lemma set_lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) (s : Set α) : ∫⁻ a in s, f a ∂(c • μ) = c * ∫⁻ a in s, f a ∂μ := by rw [Measure.restrict_smul, lintegral_smul_measure] @[simp] theorem lintegral_sum_measure {m : MeasurableSpace α} {ι} (f : α → ℝ≥0∞) (μ : ι → Measure α) : ∫⁻ a, f a ∂Measure.sum μ = ∑' i, ∫⁻ a, f a ∂μ i := by simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_sum, ENNReal.tsum_eq_iSup_sum] rw [iSup_comm] congr; funext s induction' s using Finset.induction_on with i s hi hs · simp simp only [Finset.sum_insert hi, ← hs] refine (ENNReal.iSup_add_iSup ?_).symm intro φ ψ exact ⟨⟨φ ⊔ ψ, fun x => sup_le (φ.2 x) (ψ.2 x)⟩, add_le_add (SimpleFunc.lintegral_mono le_sup_left le_rfl) (Finset.sum_le_sum fun j _ => SimpleFunc.lintegral_mono le_sup_right le_rfl)⟩ #align measure_theory.lintegral_sum_measure MeasureTheory.lintegral_sum_measure theorem hasSum_lintegral_measure {ι} {_ : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : ι → Measure α) : HasSum (fun i => ∫⁻ a, f a ∂μ i) (∫⁻ a, f a ∂Measure.sum μ) := (lintegral_sum_measure f μ).symm ▸ ENNReal.summable.hasSum #align measure_theory.has_sum_lintegral_measure MeasureTheory.hasSum_lintegral_measure @[simp] theorem lintegral_add_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ ν : Measure α) : ∫⁻ a, f a ∂(μ + ν) = ∫⁻ a, f a ∂μ + ∫⁻ a, f a ∂ν := by simpa [tsum_fintype] using lintegral_sum_measure f fun b => cond b μ ν #align measure_theory.lintegral_add_measure MeasureTheory.lintegral_add_measure @[simp] theorem lintegral_finset_sum_measure {ι} {m : MeasurableSpace α} (s : Finset ι) (f : α → ℝ≥0∞) (μ : ι → Measure α) : ∫⁻ a, f a ∂(∑ i ∈ s, μ i) = ∑ i ∈ s, ∫⁻ a, f a ∂μ i := by rw [← Measure.sum_coe_finset, lintegral_sum_measure, ← Finset.tsum_subtype'] simp only [Finset.coe_sort_coe] #align measure_theory.lintegral_finset_sum_measure MeasureTheory.lintegral_finset_sum_measure @[simp] theorem lintegral_zero_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂(0 : Measure α) = 0 := by simp [lintegral] #align measure_theory.lintegral_zero_measure MeasureTheory.lintegral_zero_measure @[simp] theorem lintegral_of_isEmpty {α} [MeasurableSpace α] [IsEmpty α] (μ : Measure α) (f : α → ℝ≥0∞) : ∫⁻ x, f x ∂μ = 0 := by have : Subsingleton (Measure α) := inferInstance convert lintegral_zero_measure f theorem set_lintegral_empty (f : α → ℝ≥0∞) : ∫⁻ x in ∅, f x ∂μ = 0 := by rw [Measure.restrict_empty, lintegral_zero_measure] #align measure_theory.set_lintegral_empty MeasureTheory.set_lintegral_empty theorem set_lintegral_univ (f : α → ℝ≥0∞) : ∫⁻ x in univ, f x ∂μ = ∫⁻ x, f x ∂μ := by rw [Measure.restrict_univ] #align measure_theory.set_lintegral_univ MeasureTheory.set_lintegral_univ theorem set_lintegral_measure_zero (s : Set α) (f : α → ℝ≥0∞) (hs' : μ s = 0) : ∫⁻ x in s, f x ∂μ = 0 := by convert lintegral_zero_measure _ exact Measure.restrict_eq_zero.2 hs' #align measure_theory.set_lintegral_measure_zero MeasureTheory.set_lintegral_measure_zero theorem lintegral_finset_sum' (s : Finset β) {f : β → α → ℝ≥0∞} (hf : ∀ b ∈ s, AEMeasurable (f b) μ) : ∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := by induction' s using Finset.induction_on with a s has ih · simp · simp only [Finset.sum_insert has] rw [Finset.forall_mem_insert] at hf rw [lintegral_add_left' hf.1, ih hf.2] #align measure_theory.lintegral_finset_sum' MeasureTheory.lintegral_finset_sum' theorem lintegral_finset_sum (s : Finset β) {f : β → α → ℝ≥0∞} (hf : ∀ b ∈ s, Measurable (f b)) : ∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := lintegral_finset_sum' s fun b hb => (hf b hb).aemeasurable #align measure_theory.lintegral_finset_sum MeasureTheory.lintegral_finset_sum @[simp]
Mathlib/MeasureTheory/Integral/Lebesgue.lean
669
686
theorem lintegral_const_mul (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := calc ∫⁻ a, r * f a ∂μ = ∫⁻ a, ⨆ n, (const α r * eapprox f n) a ∂μ := by
congr funext a rw [← iSup_eapprox_apply f hf, ENNReal.mul_iSup] simp _ = ⨆ n, r * (eapprox f n).lintegral μ := by rw [lintegral_iSup] · congr funext n rw [← SimpleFunc.const_mul_lintegral, ← SimpleFunc.lintegral_eq_lintegral] · intro n exact SimpleFunc.measurable _ · intro i j h a exact mul_le_mul_left' (monotone_eapprox _ h _) _ _ = r * ∫⁻ a, f a ∂μ := by rw [← ENNReal.mul_iSup, lintegral_eq_iSup_eapprox_lintegral hf]
import Mathlib.Algebra.Associated import Mathlib.Algebra.Star.Unitary import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Tactic.Ring #align_import number_theory.zsqrtd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" @[ext] structure Zsqrtd (d : ℤ) where re : ℤ im : ℤ deriving DecidableEq #align zsqrtd Zsqrtd #align zsqrtd.ext Zsqrtd.ext_iff prefix:100 "ℤ√" => Zsqrtd namespace Zsqrtd section variable {d : ℤ} def ofInt (n : ℤ) : ℤ√d := ⟨n, 0⟩ #align zsqrtd.of_int Zsqrtd.ofInt theorem ofInt_re (n : ℤ) : (ofInt n : ℤ√d).re = n := rfl #align zsqrtd.of_int_re Zsqrtd.ofInt_re theorem ofInt_im (n : ℤ) : (ofInt n : ℤ√d).im = 0 := rfl #align zsqrtd.of_int_im Zsqrtd.ofInt_im instance : Zero (ℤ√d) := ⟨ofInt 0⟩ @[simp] theorem zero_re : (0 : ℤ√d).re = 0 := rfl #align zsqrtd.zero_re Zsqrtd.zero_re @[simp] theorem zero_im : (0 : ℤ√d).im = 0 := rfl #align zsqrtd.zero_im Zsqrtd.zero_im instance : Inhabited (ℤ√d) := ⟨0⟩ instance : One (ℤ√d) := ⟨ofInt 1⟩ @[simp] theorem one_re : (1 : ℤ√d).re = 1 := rfl #align zsqrtd.one_re Zsqrtd.one_re @[simp] theorem one_im : (1 : ℤ√d).im = 0 := rfl #align zsqrtd.one_im Zsqrtd.one_im def sqrtd : ℤ√d := ⟨0, 1⟩ #align zsqrtd.sqrtd Zsqrtd.sqrtd @[simp] theorem sqrtd_re : (sqrtd : ℤ√d).re = 0 := rfl #align zsqrtd.sqrtd_re Zsqrtd.sqrtd_re @[simp] theorem sqrtd_im : (sqrtd : ℤ√d).im = 1 := rfl #align zsqrtd.sqrtd_im Zsqrtd.sqrtd_im instance : Add (ℤ√d) := ⟨fun z w => ⟨z.1 + w.1, z.2 + w.2⟩⟩ @[simp] theorem add_def (x y x' y' : ℤ) : (⟨x, y⟩ + ⟨x', y'⟩ : ℤ√d) = ⟨x + x', y + y'⟩ := rfl #align zsqrtd.add_def Zsqrtd.add_def @[simp] theorem add_re (z w : ℤ√d) : (z + w).re = z.re + w.re := rfl #align zsqrtd.add_re Zsqrtd.add_re @[simp] theorem add_im (z w : ℤ√d) : (z + w).im = z.im + w.im := rfl #align zsqrtd.add_im Zsqrtd.add_im #noalign zsqrtd.bit0_re #noalign zsqrtd.bit0_im #noalign zsqrtd.bit1_re #noalign zsqrtd.bit1_im instance : Neg (ℤ√d) := ⟨fun z => ⟨-z.1, -z.2⟩⟩ @[simp] theorem neg_re (z : ℤ√d) : (-z).re = -z.re := rfl #align zsqrtd.neg_re Zsqrtd.neg_re @[simp] theorem neg_im (z : ℤ√d) : (-z).im = -z.im := rfl #align zsqrtd.neg_im Zsqrtd.neg_im instance : Mul (ℤ√d) := ⟨fun z w => ⟨z.1 * w.1 + d * z.2 * w.2, z.1 * w.2 + z.2 * w.1⟩⟩ @[simp] theorem mul_re (z w : ℤ√d) : (z * w).re = z.re * w.re + d * z.im * w.im := rfl #align zsqrtd.mul_re Zsqrtd.mul_re @[simp] theorem mul_im (z w : ℤ√d) : (z * w).im = z.re * w.im + z.im * w.re := rfl #align zsqrtd.mul_im Zsqrtd.mul_im instance addCommGroup : AddCommGroup (ℤ√d) := by refine { add := (· + ·) zero := (0 : ℤ√d) sub := fun a b => a + -b neg := Neg.neg nsmul := @nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ zsmul := @zsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ ⟨Neg.neg⟩ (@nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩) add_assoc := ?_ zero_add := ?_ add_zero := ?_ add_left_neg := ?_ add_comm := ?_ } <;> intros <;> ext <;> simp [add_comm, add_left_comm] @[simp] theorem sub_re (z w : ℤ√d) : (z - w).re = z.re - w.re := rfl @[simp] theorem sub_im (z w : ℤ√d) : (z - w).im = z.im - w.im := rfl instance addGroupWithOne : AddGroupWithOne (ℤ√d) := { Zsqrtd.addCommGroup with natCast := fun n => ofInt n intCast := ofInt one := 1 } instance commRing : CommRing (ℤ√d) := by refine { Zsqrtd.addGroupWithOne with mul := (· * ·) npow := @npowRec (ℤ√d) ⟨1⟩ ⟨(· * ·)⟩, add_comm := ?_ left_distrib := ?_ right_distrib := ?_ zero_mul := ?_ mul_zero := ?_ mul_assoc := ?_ one_mul := ?_ mul_one := ?_ mul_comm := ?_ } <;> intros <;> ext <;> simp <;> ring instance : AddMonoid (ℤ√d) := by infer_instance instance : Monoid (ℤ√d) := by infer_instance instance : CommMonoid (ℤ√d) := by infer_instance instance : CommSemigroup (ℤ√d) := by infer_instance instance : Semigroup (ℤ√d) := by infer_instance instance : AddCommSemigroup (ℤ√d) := by infer_instance instance : AddSemigroup (ℤ√d) := by infer_instance instance : CommSemiring (ℤ√d) := by infer_instance instance : Semiring (ℤ√d) := by infer_instance instance : Ring (ℤ√d) := by infer_instance instance : Distrib (ℤ√d) := by infer_instance instance : Star (ℤ√d) where star z := ⟨z.1, -z.2⟩ @[simp] theorem star_mk (x y : ℤ) : star (⟨x, y⟩ : ℤ√d) = ⟨x, -y⟩ := rfl #align zsqrtd.star_mk Zsqrtd.star_mk @[simp] theorem star_re (z : ℤ√d) : (star z).re = z.re := rfl #align zsqrtd.star_re Zsqrtd.star_re @[simp] theorem star_im (z : ℤ√d) : (star z).im = -z.im := rfl #align zsqrtd.star_im Zsqrtd.star_im instance : StarRing (ℤ√d) where star_involutive x := Zsqrtd.ext _ _ rfl (neg_neg _) star_mul a b := by ext <;> simp <;> ring star_add a b := Zsqrtd.ext _ _ rfl (neg_add _ _) -- Porting note: proof was `by decide` instance nontrivial : Nontrivial (ℤ√d) := ⟨⟨0, 1, (Zsqrtd.ext_iff 0 1).not.mpr (by simp)⟩⟩ @[simp] theorem natCast_re (n : ℕ) : (n : ℤ√d).re = n := rfl #align zsqrtd.coe_nat_re Zsqrtd.natCast_re @[simp] theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).re = n := rfl @[simp] theorem natCast_im (n : ℕ) : (n : ℤ√d).im = 0 := rfl #align zsqrtd.coe_nat_im Zsqrtd.natCast_im @[simp] theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).im = 0 := rfl theorem natCast_val (n : ℕ) : (n : ℤ√d) = ⟨n, 0⟩ := rfl #align zsqrtd.coe_nat_val Zsqrtd.natCast_val @[simp] theorem intCast_re (n : ℤ) : (n : ℤ√d).re = n := by cases n <;> rfl #align zsqrtd.coe_int_re Zsqrtd.intCast_re @[simp] theorem intCast_im (n : ℤ) : (n : ℤ√d).im = 0 := by cases n <;> rfl #align zsqrtd.coe_int_im Zsqrtd.intCast_im theorem intCast_val (n : ℤ) : (n : ℤ√d) = ⟨n, 0⟩ := by ext <;> simp #align zsqrtd.coe_int_val Zsqrtd.intCast_val instance : CharZero (ℤ√d) where cast_injective m n := by simp [Zsqrtd.ext_iff] @[simp] theorem ofInt_eq_intCast (n : ℤ) : (ofInt n : ℤ√d) = n := by ext <;> simp [ofInt_re, ofInt_im] #align zsqrtd.of_int_eq_coe Zsqrtd.ofInt_eq_intCast @[deprecated (since := "2024-04-05")] alias coe_nat_re := natCast_re @[deprecated (since := "2024-04-05")] alias coe_nat_im := natCast_im @[deprecated (since := "2024-04-05")] alias coe_nat_val := natCast_val @[deprecated (since := "2024-04-05")] alias coe_int_re := intCast_re @[deprecated (since := "2024-04-05")] alias coe_int_im := intCast_im @[deprecated (since := "2024-04-05")] alias coe_int_val := intCast_val @[deprecated (since := "2024-04-05")] alias ofInt_eq_coe := ofInt_eq_intCast @[simp] theorem smul_val (n x y : ℤ) : (n : ℤ√d) * ⟨x, y⟩ = ⟨n * x, n * y⟩ := by ext <;> simp #align zsqrtd.smul_val Zsqrtd.smul_val theorem smul_re (a : ℤ) (b : ℤ√d) : (↑a * b).re = a * b.re := by simp #align zsqrtd.smul_re Zsqrtd.smul_re theorem smul_im (a : ℤ) (b : ℤ√d) : (↑a * b).im = a * b.im := by simp #align zsqrtd.smul_im Zsqrtd.smul_im @[simp] theorem muld_val (x y : ℤ) : sqrtd (d := d) * ⟨x, y⟩ = ⟨d * y, x⟩ := by ext <;> simp #align zsqrtd.muld_val Zsqrtd.muld_val @[simp] theorem dmuld : sqrtd (d := d) * sqrtd (d := d) = d := by ext <;> simp #align zsqrtd.dmuld Zsqrtd.dmuld @[simp] theorem smuld_val (n x y : ℤ) : sqrtd * (n : ℤ√d) * ⟨x, y⟩ = ⟨d * n * y, n * x⟩ := by ext <;> simp #align zsqrtd.smuld_val Zsqrtd.smuld_val theorem decompose {x y : ℤ} : (⟨x, y⟩ : ℤ√d) = x + sqrtd (d := d) * y := by ext <;> simp #align zsqrtd.decompose Zsqrtd.decompose theorem mul_star {x y : ℤ} : (⟨x, y⟩ * star ⟨x, y⟩ : ℤ√d) = x * x - d * y * y := by ext <;> simp [sub_eq_add_neg, mul_comm] #align zsqrtd.mul_star Zsqrtd.mul_star @[deprecated (since := "2024-05-25")] alias coe_int_add := Int.cast_add @[deprecated (since := "2024-05-25")] alias coe_int_sub := Int.cast_sub @[deprecated (since := "2024-05-25")] alias coe_int_mul := Int.cast_mul @[deprecated (since := "2024-05-25")] alias coe_int_inj := Int.cast_inj theorem intCast_dvd (z : ℤ) (a : ℤ√d) : ↑z ∣ a ↔ z ∣ a.re ∧ z ∣ a.im := by constructor · rintro ⟨x, rfl⟩ simp only [add_zero, intCast_re, zero_mul, mul_im, dvd_mul_right, and_self_iff, mul_re, mul_zero, intCast_im] · rintro ⟨⟨r, hr⟩, ⟨i, hi⟩⟩ use ⟨r, i⟩ rw [smul_val, Zsqrtd.ext_iff] exact ⟨hr, hi⟩ #align zsqrtd.coe_int_dvd_iff Zsqrtd.intCast_dvd @[simp, norm_cast] theorem intCast_dvd_intCast (a b : ℤ) : (a : ℤ√d) ∣ b ↔ a ∣ b := by rw [intCast_dvd] constructor · rintro ⟨hre, -⟩ rwa [intCast_re] at hre · rw [intCast_re, intCast_im] exact fun hc => ⟨hc, dvd_zero a⟩ #align zsqrtd.coe_int_dvd_coe_int Zsqrtd.intCast_dvd_intCast @[deprecated (since := "2024-05-25")] alias coe_int_dvd_iff := intCast_dvd @[deprecated (since := "2024-05-25")] alias coe_int_dvd_coe_int := intCast_dvd_intCast protected theorem eq_of_smul_eq_smul_left {a : ℤ} {b c : ℤ√d} (ha : a ≠ 0) (h : ↑a * b = a * c) : b = c := by rw [Zsqrtd.ext_iff] at h ⊢ apply And.imp _ _ h <;> simpa only [smul_re, smul_im] using mul_left_cancel₀ ha #align zsqrtd.eq_of_smul_eq_smul_left Zsqrtd.eq_of_smul_eq_smul_left def SqLe (a c b d : ℕ) : Prop := c * a * a ≤ d * b * b #align zsqrtd.sq_le Zsqrtd.SqLe theorem sqLe_of_le {c d x y z w : ℕ} (xz : z ≤ x) (yw : y ≤ w) (xy : SqLe x c y d) : SqLe z c w d := le_trans (mul_le_mul (Nat.mul_le_mul_left _ xz) xz (Nat.zero_le _) (Nat.zero_le _)) <| le_trans xy (mul_le_mul (Nat.mul_le_mul_left _ yw) yw (Nat.zero_le _) (Nat.zero_le _)) #align zsqrtd.sq_le_of_le Zsqrtd.sqLe_of_le theorem sqLe_add_mixed {c d x y z w : ℕ} (xy : SqLe x c y d) (zw : SqLe z c w d) : c * (x * z) ≤ d * (y * w) := Nat.mul_self_le_mul_self_iff.1 <| by simpa [mul_comm, mul_left_comm] using mul_le_mul xy zw (Nat.zero_le _) (Nat.zero_le _) #align zsqrtd.sq_le_add_mixed Zsqrtd.sqLe_add_mixed theorem sqLe_add {c d x y z w : ℕ} (xy : SqLe x c y d) (zw : SqLe z c w d) : SqLe (x + z) c (y + w) d := by have xz := sqLe_add_mixed xy zw simp? [SqLe, mul_assoc] at xy zw says simp only [SqLe, mul_assoc] at xy zw simp [SqLe, mul_add, mul_comm, mul_left_comm, add_le_add, *] #align zsqrtd.sq_le_add Zsqrtd.sqLe_add theorem sqLe_cancel {c d x y z w : ℕ} (zw : SqLe y d x c) (h : SqLe (x + z) c (y + w) d) : SqLe z c w d := by apply le_of_not_gt intro l refine not_le_of_gt ?_ h simp only [SqLe, mul_add, mul_comm, mul_left_comm, add_assoc, gt_iff_lt] have hm := sqLe_add_mixed zw (le_of_lt l) simp only [SqLe, mul_assoc, gt_iff_lt] at l zw exact lt_of_le_of_lt (add_le_add_right zw _) (add_lt_add_left (add_lt_add_of_le_of_lt hm (add_lt_add_of_le_of_lt hm l)) _) #align zsqrtd.sq_le_cancel Zsqrtd.sqLe_cancel theorem sqLe_smul {c d x y : ℕ} (n : ℕ) (xy : SqLe x c y d) : SqLe (n * x) c (n * y) d := by simpa [SqLe, mul_left_comm, mul_assoc] using Nat.mul_le_mul_left (n * n) xy #align zsqrtd.sq_le_smul Zsqrtd.sqLe_smul theorem sqLe_mul {d x y z w : ℕ} : (SqLe x 1 y d → SqLe z 1 w d → SqLe (x * w + y * z) d (x * z + d * y * w) 1) ∧ (SqLe x 1 y d → SqLe w d z 1 → SqLe (x * z + d * y * w) 1 (x * w + y * z) d) ∧ (SqLe y d x 1 → SqLe z 1 w d → SqLe (x * z + d * y * w) 1 (x * w + y * z) d) ∧ (SqLe y d x 1 → SqLe w d z 1 → SqLe (x * w + y * z) d (x * z + d * y * w) 1) := by refine ⟨?_, ?_, ?_, ?_⟩ <;> · intro xy zw have := Int.mul_nonneg (sub_nonneg_of_le (Int.ofNat_le_ofNat_of_le xy)) (sub_nonneg_of_le (Int.ofNat_le_ofNat_of_le zw)) refine Int.le_of_ofNat_le_ofNat (le_of_sub_nonneg ?_) convert this using 1 simp only [one_mul, Int.ofNat_add, Int.ofNat_mul] ring #align zsqrtd.sq_le_mul Zsqrtd.sqLe_mul open Int in def Nonnegg (c d : ℕ) : ℤ → ℤ → Prop | (a : ℕ), (b : ℕ) => True | (a : ℕ), -[b+1] => SqLe (b + 1) c a d | -[a+1], (b : ℕ) => SqLe (a + 1) d b c | -[_+1], -[_+1] => False #align zsqrtd.nonnegg Zsqrtd.Nonnegg theorem nonnegg_comm {c d : ℕ} {x y : ℤ} : Nonnegg c d x y = Nonnegg d c y x := by induction x <;> induction y <;> rfl #align zsqrtd.nonnegg_comm Zsqrtd.nonnegg_comm theorem nonnegg_neg_pos {c d} : ∀ {a b : ℕ}, Nonnegg c d (-a) b ↔ SqLe a d b c | 0, b => ⟨by simp [SqLe, Nat.zero_le], fun _ => trivial⟩ | a + 1, b => by rw [← Int.negSucc_coe]; rfl #align zsqrtd.nonnegg_neg_pos Zsqrtd.nonnegg_neg_pos theorem nonnegg_pos_neg {c d} {a b : ℕ} : Nonnegg c d a (-b) ↔ SqLe b c a d := by rw [nonnegg_comm]; exact nonnegg_neg_pos #align zsqrtd.nonnegg_pos_neg Zsqrtd.nonnegg_pos_neg open Int in theorem nonnegg_cases_right {c d} {a : ℕ} : ∀ {b : ℤ}, (∀ x : ℕ, b = -x → SqLe x c a d) → Nonnegg c d a b | (b : Nat), _ => trivial | -[b+1], h => h (b + 1) rfl #align zsqrtd.nonnegg_cases_right Zsqrtd.nonnegg_cases_right theorem nonnegg_cases_left {c d} {b : ℕ} {a : ℤ} (h : ∀ x : ℕ, a = -x → SqLe x d b c) : Nonnegg c d a b := cast nonnegg_comm (nonnegg_cases_right h) #align zsqrtd.nonnegg_cases_left Zsqrtd.nonnegg_cases_left section Norm def norm (n : ℤ√d) : ℤ := n.re * n.re - d * n.im * n.im #align zsqrtd.norm Zsqrtd.norm theorem norm_def (n : ℤ√d) : n.norm = n.re * n.re - d * n.im * n.im := rfl #align zsqrtd.norm_def Zsqrtd.norm_def @[simp] theorem norm_zero : norm (0 : ℤ√d) = 0 := by simp [norm] #align zsqrtd.norm_zero Zsqrtd.norm_zero @[simp] theorem norm_one : norm (1 : ℤ√d) = 1 := by simp [norm] #align zsqrtd.norm_one Zsqrtd.norm_one @[simp] theorem norm_intCast (n : ℤ) : norm (n : ℤ√d) = n * n := by simp [norm] #align zsqrtd.norm_int_cast Zsqrtd.norm_intCast @[deprecated (since := "2024-04-17")] alias norm_int_cast := norm_intCast @[simp] theorem norm_natCast (n : ℕ) : norm (n : ℤ√d) = n * n := norm_intCast n #align zsqrtd.norm_nat_cast Zsqrtd.norm_natCast @[deprecated (since := "2024-04-17")] alias norm_nat_cast := norm_natCast @[simp] theorem norm_mul (n m : ℤ√d) : norm (n * m) = norm n * norm m := by simp only [norm, mul_im, mul_re] ring #align zsqrtd.norm_mul Zsqrtd.norm_mul def normMonoidHom : ℤ√d →* ℤ where toFun := norm map_mul' := norm_mul map_one' := norm_one #align zsqrtd.norm_monoid_hom Zsqrtd.normMonoidHom theorem norm_eq_mul_conj (n : ℤ√d) : (norm n : ℤ√d) = n * star n := by ext <;> simp [norm, star, mul_comm, sub_eq_add_neg] #align zsqrtd.norm_eq_mul_conj Zsqrtd.norm_eq_mul_conj @[simp] theorem norm_neg (x : ℤ√d) : (-x).norm = x.norm := -- Porting note: replaced `simp` with `rw` -- See https://github.com/leanprover-community/mathlib4/issues/5026 Int.cast_inj.1 <| by rw [norm_eq_mul_conj, star_neg, neg_mul_neg, norm_eq_mul_conj] #align zsqrtd.norm_neg Zsqrtd.norm_neg @[simp] theorem norm_conj (x : ℤ√d) : (star x).norm = x.norm := -- Porting note: replaced `simp` with `rw` -- See https://github.com/leanprover-community/mathlib4/issues/5026 Int.cast_inj.1 <| by rw [norm_eq_mul_conj, star_star, mul_comm, norm_eq_mul_conj] #align zsqrtd.norm_conj Zsqrtd.norm_conj theorem norm_nonneg (hd : d ≤ 0) (n : ℤ√d) : 0 ≤ n.norm := add_nonneg (mul_self_nonneg _) (by rw [mul_assoc, neg_mul_eq_neg_mul] exact mul_nonneg (neg_nonneg.2 hd) (mul_self_nonneg _)) #align zsqrtd.norm_nonneg Zsqrtd.norm_nonneg theorem norm_eq_one_iff {x : ℤ√d} : x.norm.natAbs = 1 ↔ IsUnit x := ⟨fun h => isUnit_iff_dvd_one.2 <| (le_total 0 (norm x)).casesOn (fun hx => ⟨star x, by rwa [← Int.natCast_inj, Int.natAbs_of_nonneg hx, ← @Int.cast_inj (ℤ√d) _ _, norm_eq_mul_conj, eq_comm] at h⟩) fun hx => ⟨-star x, by rwa [← Int.natCast_inj, Int.ofNat_natAbs_of_nonpos hx, ← @Int.cast_inj (ℤ√d) _ _, Int.cast_neg, norm_eq_mul_conj, neg_mul_eq_mul_neg, eq_comm] at h⟩, fun h => by let ⟨y, hy⟩ := isUnit_iff_dvd_one.1 h have := congr_arg (Int.natAbs ∘ norm) hy rw [Function.comp_apply, Function.comp_apply, norm_mul, Int.natAbs_mul, norm_one, Int.natAbs_one, eq_comm, mul_eq_one] at this exact this.1⟩ #align zsqrtd.norm_eq_one_iff Zsqrtd.norm_eq_one_iff theorem isUnit_iff_norm_isUnit {d : ℤ} (z : ℤ√d) : IsUnit z ↔ IsUnit z.norm := by rw [Int.isUnit_iff_natAbs_eq, norm_eq_one_iff] #align zsqrtd.is_unit_iff_norm_is_unit Zsqrtd.isUnit_iff_norm_isUnit
Mathlib/NumberTheory/Zsqrtd/Basic.lean
593
594
theorem norm_eq_one_iff' {d : ℤ} (hd : d ≤ 0) (z : ℤ√d) : z.norm = 1 ↔ IsUnit z := by
rw [← norm_eq_one_iff, ← Int.natCast_inj, Int.natAbs_of_nonneg (norm_nonneg hd z), Int.ofNat_one]
import Mathlib.Analysis.Complex.AbelLimit import Mathlib.Analysis.SpecialFunctions.Complex.Arctan #align_import data.real.pi.leibniz from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Real open Filter Finset open scoped Topology
Mathlib/Data/Real/Pi/Leibniz.lean
21
57
theorem tendsto_sum_pi_div_four : Tendsto (fun k => ∑ i ∈ range k, (-1 : ℝ) ^ i / (2 * i + 1)) atTop (𝓝 (π / 4)) := by
-- The series is alternating with terms of decreasing magnitude, so it converges to some limit obtain ⟨l, h⟩ : ∃ l, Tendsto (fun n ↦ ∑ i ∈ range n, (-1 : ℝ) ^ i / (2 * i + 1)) atTop (𝓝 l) := by apply Antitone.tendsto_alternating_series_of_tendsto_zero · exact antitone_iff_forall_lt.mpr fun _ _ _ ↦ by gcongr · apply Tendsto.inv_tendsto_atTop; apply tendsto_atTop_add_const_right exact tendsto_natCast_atTop_atTop.const_mul_atTop zero_lt_two -- Abel's limit theorem states that the corresponding power series has the same limit as `x → 1⁻` have abel := tendsto_tsum_powerSeries_nhdsWithin_lt h -- Massage the expression to get `x ^ (2 * n + 1)` in the tsum rather than `x ^ n`... have m : 𝓝[<] (1 : ℝ) ≤ 𝓝 1 := tendsto_nhdsWithin_of_tendsto_nhds fun _ a ↦ a have q : Tendsto (fun x : ℝ ↦ x ^ 2) (𝓝[<] 1) (𝓝[<] 1) := by apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within · nth_rw 3 [← one_pow 2] exact Tendsto.pow ‹_› _ · rw [eventually_iff_exists_mem] use Set.Ioo (-1) 1 exact ⟨(by rw [mem_nhdsWithin_Iio_iff_exists_Ioo_subset]; use -1, by simp), fun _ _ ↦ by rwa [Set.mem_Iio, sq_lt_one_iff_abs_lt_one, abs_lt, ← Set.mem_Ioo]⟩ replace abel := (abel.comp q).mul m rw [mul_one] at abel -- ...so that we can replace the tsum with the real arctangent function replace abel : Tendsto arctan (𝓝[<] 1) (𝓝 l) := by apply abel.congr' rw [eventuallyEq_nhdsWithin_iff, Metric.eventually_nhds_iff] use 1, zero_lt_one intro y hy1 hy2 rw [dist_eq, abs_sub_lt_iff] at hy1 rw [Set.mem_Iio] at hy2 have ny : ‖y‖ < 1 := by rw [norm_eq_abs, abs_lt]; constructor <;> linarith rw [← (hasSum_arctan ny).tsum_eq, Function.comp_apply, ← tsum_mul_right] simp_rw [mul_assoc, ← pow_mul, ← pow_succ, div_mul_eq_mul_div] norm_cast -- But `arctan` is continuous everywhere, so the limit is `arctan 1 = π / 4` rwa [tendsto_nhds_unique abel ((continuous_arctan.tendsto 1).mono_left m), arctan_one] at h
import Mathlib.Geometry.Manifold.Sheaf.Smooth import Mathlib.Geometry.RingedSpace.LocallyRingedSpace noncomputable section universe u variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜] {EM : Type*} [NormedAddCommGroup EM] [NormedSpace 𝕜 EM] {HM : Type*} [TopologicalSpace HM] (IM : ModelWithCorners 𝕜 EM HM) {M : Type u} [TopologicalSpace M] [ChartedSpace HM M] open AlgebraicGeometry Manifold TopologicalSpace Topology theorem smoothSheafCommRing.isUnit_stalk_iff {x : M} (f : (smoothSheafCommRing IM 𝓘(𝕜) M 𝕜).presheaf.stalk x) : IsUnit f ↔ f ∉ RingHom.ker (smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x) := by constructor · rintro ⟨⟨f, g, hf, hg⟩, rfl⟩ (h' : smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x f = 0) simpa [h'] using congr_arg (smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x) hf · let S := (smoothSheafCommRing IM 𝓘(𝕜) M 𝕜).presheaf -- Suppose that `f`, in the stalk at `x`, is nonzero at `x` rintro (hf : _ ≠ 0) -- Represent `f` as the germ of some function (also called `f`) on an open neighbourhood `U` of -- `x`, which is nonzero at `x` obtain ⟨U : Opens M, hxU, f : C^∞⟮IM, U; 𝓘(𝕜), 𝕜⟯, rfl⟩ := S.germ_exist x f have hf' : f ⟨x, hxU⟩ ≠ 0 := by convert hf exact (smoothSheafCommRing.eval_germ U ⟨x, hxU⟩ f).symm -- In fact, by continuity, `f` is nonzero on a neighbourhood `V` of `x` have H : ∀ᶠ (z : U) in 𝓝 ⟨x, hxU⟩, f z ≠ 0 := f.2.continuous.continuousAt.eventually_ne hf' rw [eventually_nhds_iff] at H obtain ⟨V₀, hV₀f, hV₀, hxV₀⟩ := H let V : Opens M := ⟨Subtype.val '' V₀, U.2.isOpenMap_subtype_val V₀ hV₀⟩ have hUV : V ≤ U := Subtype.coe_image_subset (U : Set M) V₀ have hV : V₀ = Set.range (Set.inclusion hUV) := by convert (Set.range_inclusion hUV).symm ext y show _ ↔ y ∈ Subtype.val ⁻¹' (Subtype.val '' V₀) rw [Set.preimage_image_eq _ Subtype.coe_injective] clear_value V subst hV have hxV : x ∈ (V : Set M) := by obtain ⟨x₀, hxx₀⟩ := hxV₀ convert x₀.2 exact congr_arg Subtype.val hxx₀.symm have hVf : ∀ y : V, f (Set.inclusion hUV y) ≠ 0 := fun y ↦ hV₀f (Set.inclusion hUV y) (Set.mem_range_self y) -- Let `g` be the pointwise inverse of `f` on `V`, which is smooth since `f` is nonzero there let g : C^∞⟮IM, V; 𝓘(𝕜), 𝕜⟯ := ⟨(f ∘ Set.inclusion hUV)⁻¹, ?_⟩ -- The germ of `g` is inverse to the germ of `f`, so `f` is a unit · refine ⟨⟨S.germ ⟨x, hxV⟩ (SmoothMap.restrictRingHom IM 𝓘(𝕜) 𝕜 hUV f), S.germ ⟨x, hxV⟩ g, ?_, ?_⟩, S.germ_res_apply hUV.hom ⟨x, hxV⟩ f⟩ · rw [← map_mul] -- Qualified the name to avoid Lean not finding a `OneHomClass` #8386 convert RingHom.map_one _ apply Subtype.ext ext y apply mul_inv_cancel exact hVf y · rw [← map_mul] -- Qualified the name to avoid Lean not finding a `OneHomClass` #8386 convert RingHom.map_one _ apply Subtype.ext ext y apply inv_mul_cancel exact hVf y · intro y exact ((contDiffAt_inv _ (hVf y)).contMDiffAt).comp y (f.smooth.comp (smooth_inclusion hUV)).smoothAt
Mathlib/Geometry/Manifold/Sheaf/LocallyRingedSpace.lean
102
107
theorem smoothSheafCommRing.nonunits_stalk (x : M) : nonunits ((smoothSheafCommRing IM 𝓘(𝕜) M 𝕜).presheaf.stalk x) = RingHom.ker (smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x) := by
ext1 f rw [mem_nonunits_iff, not_iff_comm, Iff.comm] apply smoothSheafCommRing.isUnit_stalk_iff
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section DenselyOrdered variable [TopologicalSpace α] [LinearOrder α] [OrderTopology α] [DenselyOrdered α] {a b : α} {s : Set α} theorem closure_Ioi' {a : α} (h : (Ioi a).Nonempty) : closure (Ioi a) = Ici a := by apply Subset.antisymm · exact closure_minimal Ioi_subset_Ici_self isClosed_Ici · rw [← diff_subset_closure_iff, Ici_diff_Ioi_same, singleton_subset_iff] exact isGLB_Ioi.mem_closure h #align closure_Ioi' closure_Ioi' @[simp] theorem closure_Ioi (a : α) [NoMaxOrder α] : closure (Ioi a) = Ici a := closure_Ioi' nonempty_Ioi #align closure_Ioi closure_Ioi theorem closure_Iio' (h : (Iio a).Nonempty) : closure (Iio a) = Iic a := closure_Ioi' (α := αᵒᵈ) h #align closure_Iio' closure_Iio' @[simp] theorem closure_Iio (a : α) [NoMinOrder α] : closure (Iio a) = Iic a := closure_Iio' nonempty_Iio #align closure_Iio closure_Iio @[simp] theorem closure_Ioo {a b : α} (hab : a ≠ b) : closure (Ioo a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioo_subset_Icc_self isClosed_Icc · cases' hab.lt_or_lt with hab hab · rw [← diff_subset_closure_iff, Icc_diff_Ioo_same hab.le] have hab' : (Ioo a b).Nonempty := nonempty_Ioo.2 hab simp only [insert_subset_iff, singleton_subset_iff] exact ⟨(isGLB_Ioo hab).mem_closure hab', (isLUB_Ioo hab).mem_closure hab'⟩ · rw [Icc_eq_empty_of_lt hab] exact empty_subset _ #align closure_Ioo closure_Ioo @[simp] theorem closure_Ioc {a b : α} (hab : a ≠ b) : closure (Ioc a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioc_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ioc_self) rw [closure_Ioo hab] #align closure_Ioc closure_Ioc @[simp] theorem closure_Ico {a b : α} (hab : a ≠ b) : closure (Ico a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ico_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ico_self) rw [closure_Ioo hab] #align closure_Ico closure_Ico @[simp] theorem interior_Ici' {a : α} (ha : (Iio a).Nonempty) : interior (Ici a) = Ioi a := by rw [← compl_Iio, interior_compl, closure_Iio' ha, compl_Iic] #align interior_Ici' interior_Ici' theorem interior_Ici [NoMinOrder α] {a : α} : interior (Ici a) = Ioi a := interior_Ici' nonempty_Iio #align interior_Ici interior_Ici @[simp] theorem interior_Iic' {a : α} (ha : (Ioi a).Nonempty) : interior (Iic a) = Iio a := interior_Ici' (α := αᵒᵈ) ha #align interior_Iic' interior_Iic' theorem interior_Iic [NoMaxOrder α] {a : α} : interior (Iic a) = Iio a := interior_Iic' nonempty_Ioi #align interior_Iic interior_Iic @[simp] theorem interior_Icc [NoMinOrder α] [NoMaxOrder α] {a b : α} : interior (Icc a b) = Ioo a b := by rw [← Ici_inter_Iic, interior_inter, interior_Ici, interior_Iic, Ioi_inter_Iio] #align interior_Icc interior_Icc @[simp] theorem Icc_mem_nhds_iff [NoMinOrder α] [NoMaxOrder α] {a b x : α} : Icc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Icc, mem_interior_iff_mem_nhds] @[simp] theorem interior_Ico [NoMinOrder α] {a b : α} : interior (Ico a b) = Ioo a b := by rw [← Ici_inter_Iio, interior_inter, interior_Ici, interior_Iio, Ioi_inter_Iio] #align interior_Ico interior_Ico @[simp] theorem Ico_mem_nhds_iff [NoMinOrder α] {a b x : α} : Ico a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Ico, mem_interior_iff_mem_nhds] @[simp] theorem interior_Ioc [NoMaxOrder α] {a b : α} : interior (Ioc a b) = Ioo a b := by rw [← Ioi_inter_Iic, interior_inter, interior_Ioi, interior_Iic, Ioi_inter_Iio] #align interior_Ioc interior_Ioc @[simp] theorem Ioc_mem_nhds_iff [NoMaxOrder α] {a b x : α} : Ioc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Ioc, mem_interior_iff_mem_nhds] theorem closure_interior_Icc {a b : α} (h : a ≠ b) : closure (interior (Icc a b)) = Icc a b := (closure_minimal interior_subset isClosed_Icc).antisymm <| calc Icc a b = closure (Ioo a b) := (closure_Ioo h).symm _ ⊆ closure (interior (Icc a b)) := closure_mono (interior_maximal Ioo_subset_Icc_self isOpen_Ioo) #align closure_interior_Icc closure_interior_Icc theorem Ioc_subset_closure_interior (a b : α) : Ioc a b ⊆ closure (interior (Ioc a b)) := by rcases eq_or_ne a b with (rfl | h) · simp · calc Ioc a b ⊆ Icc a b := Ioc_subset_Icc_self _ = closure (Ioo a b) := (closure_Ioo h).symm _ ⊆ closure (interior (Ioc a b)) := closure_mono (interior_maximal Ioo_subset_Ioc_self isOpen_Ioo) #align Ioc_subset_closure_interior Ioc_subset_closure_interior theorem Ico_subset_closure_interior (a b : α) : Ico a b ⊆ closure (interior (Ico a b)) := by simpa only [dual_Ioc] using Ioc_subset_closure_interior (OrderDual.toDual b) (OrderDual.toDual a) #align Ico_subset_closure_interior Ico_subset_closure_interior @[simp] theorem frontier_Ici' {a : α} (ha : (Iio a).Nonempty) : frontier (Ici a) = {a} := by simp [frontier, ha] #align frontier_Ici' frontier_Ici' theorem frontier_Ici [NoMinOrder α] {a : α} : frontier (Ici a) = {a} := frontier_Ici' nonempty_Iio #align frontier_Ici frontier_Ici @[simp] theorem frontier_Iic' {a : α} (ha : (Ioi a).Nonempty) : frontier (Iic a) = {a} := by simp [frontier, ha] #align frontier_Iic' frontier_Iic' theorem frontier_Iic [NoMaxOrder α] {a : α} : frontier (Iic a) = {a} := frontier_Iic' nonempty_Ioi #align frontier_Iic frontier_Iic @[simp] theorem frontier_Ioi' {a : α} (ha : (Ioi a).Nonempty) : frontier (Ioi a) = {a} := by simp [frontier, closure_Ioi' ha, Iic_diff_Iio, Icc_self] #align frontier_Ioi' frontier_Ioi' theorem frontier_Ioi [NoMaxOrder α] {a : α} : frontier (Ioi a) = {a} := frontier_Ioi' nonempty_Ioi #align frontier_Ioi frontier_Ioi @[simp] theorem frontier_Iio' {a : α} (ha : (Iio a).Nonempty) : frontier (Iio a) = {a} := by simp [frontier, closure_Iio' ha, Iic_diff_Iio, Icc_self] #align frontier_Iio' frontier_Iio' theorem frontier_Iio [NoMinOrder α] {a : α} : frontier (Iio a) = {a} := frontier_Iio' nonempty_Iio #align frontier_Iio frontier_Iio @[simp] theorem frontier_Icc [NoMinOrder α] [NoMaxOrder α] {a b : α} (h : a ≤ b) : frontier (Icc a b) = {a, b} := by simp [frontier, h, Icc_diff_Ioo_same] #align frontier_Icc frontier_Icc @[simp] theorem frontier_Ioo {a b : α} (h : a < b) : frontier (Ioo a b) = {a, b} := by rw [frontier, closure_Ioo h.ne, interior_Ioo, Icc_diff_Ioo_same h.le] #align frontier_Ioo frontier_Ioo @[simp] theorem frontier_Ico [NoMinOrder α] {a b : α} (h : a < b) : frontier (Ico a b) = {a, b} := by rw [frontier, closure_Ico h.ne, interior_Ico, Icc_diff_Ioo_same h.le] #align frontier_Ico frontier_Ico @[simp] theorem frontier_Ioc [NoMaxOrder α] {a b : α} (h : a < b) : frontier (Ioc a b) = {a, b} := by rw [frontier, closure_Ioc h.ne, interior_Ioc, Icc_diff_Ioo_same h.le] #align frontier_Ioc frontier_Ioc theorem nhdsWithin_Ioi_neBot' {a b : α} (H₁ : (Ioi a).Nonempty) (H₂ : a ≤ b) : NeBot (𝓝[Ioi a] b) := mem_closure_iff_nhdsWithin_neBot.1 <| by rwa [closure_Ioi' H₁] #align nhds_within_Ioi_ne_bot' nhdsWithin_Ioi_neBot' theorem nhdsWithin_Ioi_neBot [NoMaxOrder α] {a b : α} (H : a ≤ b) : NeBot (𝓝[Ioi a] b) := nhdsWithin_Ioi_neBot' nonempty_Ioi H #align nhds_within_Ioi_ne_bot nhdsWithin_Ioi_neBot theorem nhdsWithin_Ioi_self_neBot' {a : α} (H : (Ioi a).Nonempty) : NeBot (𝓝[>] a) := nhdsWithin_Ioi_neBot' H (le_refl a) #align nhds_within_Ioi_self_ne_bot' nhdsWithin_Ioi_self_neBot' instance nhdsWithin_Ioi_self_neBot [NoMaxOrder α] (a : α) : NeBot (𝓝[>] a) := nhdsWithin_Ioi_neBot (le_refl a) #align nhds_within_Ioi_self_ne_bot nhdsWithin_Ioi_self_neBot theorem nhdsWithin_Iio_neBot' {b c : α} (H₁ : (Iio c).Nonempty) (H₂ : b ≤ c) : NeBot (𝓝[Iio c] b) := mem_closure_iff_nhdsWithin_neBot.1 <| by rwa [closure_Iio' H₁] #align nhds_within_Iio_ne_bot' nhdsWithin_Iio_neBot' theorem nhdsWithin_Iio_neBot [NoMinOrder α] {a b : α} (H : a ≤ b) : NeBot (𝓝[Iio b] a) := nhdsWithin_Iio_neBot' nonempty_Iio H #align nhds_within_Iio_ne_bot nhdsWithin_Iio_neBot theorem nhdsWithin_Iio_self_neBot' {b : α} (H : (Iio b).Nonempty) : NeBot (𝓝[<] b) := nhdsWithin_Iio_neBot' H (le_refl b) #align nhds_within_Iio_self_ne_bot' nhdsWithin_Iio_self_neBot' instance nhdsWithin_Iio_self_neBot [NoMinOrder α] (a : α) : NeBot (𝓝[<] a) := nhdsWithin_Iio_neBot (le_refl a) #align nhds_within_Iio_self_ne_bot nhdsWithin_Iio_self_neBot theorem right_nhdsWithin_Ico_neBot {a b : α} (H : a < b) : NeBot (𝓝[Ico a b] b) := (isLUB_Ico H).nhdsWithin_neBot (nonempty_Ico.2 H) #align right_nhds_within_Ico_ne_bot right_nhdsWithin_Ico_neBot theorem left_nhdsWithin_Ioc_neBot {a b : α} (H : a < b) : NeBot (𝓝[Ioc a b] a) := (isGLB_Ioc H).nhdsWithin_neBot (nonempty_Ioc.2 H) #align left_nhds_within_Ioc_ne_bot left_nhdsWithin_Ioc_neBot theorem left_nhdsWithin_Ioo_neBot {a b : α} (H : a < b) : NeBot (𝓝[Ioo a b] a) := (isGLB_Ioo H).nhdsWithin_neBot (nonempty_Ioo.2 H) #align left_nhds_within_Ioo_ne_bot left_nhdsWithin_Ioo_neBot theorem right_nhdsWithin_Ioo_neBot {a b : α} (H : a < b) : NeBot (𝓝[Ioo a b] b) := (isLUB_Ioo H).nhdsWithin_neBot (nonempty_Ioo.2 H) #align right_nhds_within_Ioo_ne_bot right_nhdsWithin_Ioo_neBot theorem comap_coe_nhdsWithin_Iio_of_Ioo_subset (hb : s ⊆ Iio b) (hs : s.Nonempty → ∃ a < b, Ioo a b ⊆ s) : comap ((↑) : s → α) (𝓝[<] b) = atTop := by nontriviality haveI : Nonempty s := nontrivial_iff_nonempty.1 ‹_› rcases hs (nonempty_subtype.1 ‹_›) with ⟨a, h, hs⟩ ext u; constructor · rintro ⟨t, ht, hts⟩ obtain ⟨x, ⟨hxa : a ≤ x, hxb : x < b⟩, hxt : Ioo x b ⊆ t⟩ := (mem_nhdsWithin_Iio_iff_exists_mem_Ico_Ioo_subset h).mp ht obtain ⟨y, hxy, hyb⟩ := exists_between hxb refine mem_of_superset (mem_atTop ⟨y, hs ⟨hxa.trans_lt hxy, hyb⟩⟩) ?_ rintro ⟨z, hzs⟩ (hyz : y ≤ z) exact hts (hxt ⟨hxy.trans_le hyz, hb hzs⟩) · intro hu obtain ⟨x : s, hx : ∀ z, x ≤ z → z ∈ u⟩ := mem_atTop_sets.1 hu exact ⟨Ioo x b, Ioo_mem_nhdsWithin_Iio' (hb x.2), fun z hz => hx _ hz.1.le⟩ #align comap_coe_nhds_within_Iio_of_Ioo_subset comap_coe_nhdsWithin_Iio_of_Ioo_subset set_option backward.isDefEq.lazyWhnfCore false in -- See https://github.com/leanprover-community/mathlib4/issues/12534 theorem comap_coe_nhdsWithin_Ioi_of_Ioo_subset (ha : s ⊆ Ioi a) (hs : s.Nonempty → ∃ b > a, Ioo a b ⊆ s) : comap ((↑) : s → α) (𝓝[>] a) = atBot := comap_coe_nhdsWithin_Iio_of_Ioo_subset (show ofDual ⁻¹' s ⊆ Iio (toDual a) from ha) fun h => by simpa only [OrderDual.exists, dual_Ioo] using hs h #align comap_coe_nhds_within_Ioi_of_Ioo_subset comap_coe_nhdsWithin_Ioi_of_Ioo_subset theorem map_coe_atTop_of_Ioo_subset (hb : s ⊆ Iio b) (hs : ∀ a' < b, ∃ a < b, Ioo a b ⊆ s) : map ((↑) : s → α) atTop = 𝓝[<] b := by rcases eq_empty_or_nonempty (Iio b) with (hb' | ⟨a, ha⟩) · have : IsEmpty s := ⟨fun x => hb'.subset (hb x.2)⟩ rw [filter_eq_bot_of_isEmpty atTop, Filter.map_bot, hb', nhdsWithin_empty] · rw [← comap_coe_nhdsWithin_Iio_of_Ioo_subset hb fun _ => hs a ha, map_comap_of_mem] rw [Subtype.range_val] exact (mem_nhdsWithin_Iio_iff_exists_Ioo_subset' ha).2 (hs a ha) #align map_coe_at_top_of_Ioo_subset map_coe_atTop_of_Ioo_subset theorem map_coe_atBot_of_Ioo_subset (ha : s ⊆ Ioi a) (hs : ∀ b' > a, ∃ b > a, Ioo a b ⊆ s) : map ((↑) : s → α) atBot = 𝓝[>] a := by -- the elaborator gets stuck without `(... : _)` refine (map_coe_atTop_of_Ioo_subset (show ofDual ⁻¹' s ⊆ Iio (toDual a) from ha) fun b' hb' => ?_ : _) simpa only [OrderDual.exists, dual_Ioo] using hs b' hb' #align map_coe_at_bot_of_Ioo_subset map_coe_atBot_of_Ioo_subset theorem comap_coe_Ioo_nhdsWithin_Iio (a b : α) : comap ((↑) : Ioo a b → α) (𝓝[<] b) = atTop := comap_coe_nhdsWithin_Iio_of_Ioo_subset Ioo_subset_Iio_self fun h => ⟨a, nonempty_Ioo.1 h, Subset.refl _⟩ #align comap_coe_Ioo_nhds_within_Iio comap_coe_Ioo_nhdsWithin_Iio theorem comap_coe_Ioo_nhdsWithin_Ioi (a b : α) : comap ((↑) : Ioo a b → α) (𝓝[>] a) = atBot := comap_coe_nhdsWithin_Ioi_of_Ioo_subset Ioo_subset_Ioi_self fun h => ⟨b, nonempty_Ioo.1 h, Subset.refl _⟩ #align comap_coe_Ioo_nhds_within_Ioi comap_coe_Ioo_nhdsWithin_Ioi theorem comap_coe_Ioi_nhdsWithin_Ioi (a : α) : comap ((↑) : Ioi a → α) (𝓝[>] a) = atBot := comap_coe_nhdsWithin_Ioi_of_Ioo_subset (Subset.refl _) fun ⟨x, hx⟩ => ⟨x, hx, Ioo_subset_Ioi_self⟩ #align comap_coe_Ioi_nhds_within_Ioi comap_coe_Ioi_nhdsWithin_Ioi theorem comap_coe_Iio_nhdsWithin_Iio (a : α) : comap ((↑) : Iio a → α) (𝓝[<] a) = atTop := comap_coe_Ioi_nhdsWithin_Ioi (α := αᵒᵈ) a #align comap_coe_Iio_nhds_within_Iio comap_coe_Iio_nhdsWithin_Iio @[simp] theorem map_coe_Ioo_atTop {a b : α} (h : a < b) : map ((↑) : Ioo a b → α) atTop = 𝓝[<] b := map_coe_atTop_of_Ioo_subset Ioo_subset_Iio_self fun _ _ => ⟨_, h, Subset.refl _⟩ #align map_coe_Ioo_at_top map_coe_Ioo_atTop @[simp] theorem map_coe_Ioo_atBot {a b : α} (h : a < b) : map ((↑) : Ioo a b → α) atBot = 𝓝[>] a := map_coe_atBot_of_Ioo_subset Ioo_subset_Ioi_self fun _ _ => ⟨_, h, Subset.refl _⟩ #align map_coe_Ioo_at_bot map_coe_Ioo_atBot @[simp] theorem map_coe_Ioi_atBot (a : α) : map ((↑) : Ioi a → α) atBot = 𝓝[>] a := map_coe_atBot_of_Ioo_subset (Subset.refl _) fun b hb => ⟨b, hb, Ioo_subset_Ioi_self⟩ #align map_coe_Ioi_at_bot map_coe_Ioi_atBot @[simp] theorem map_coe_Iio_atTop (a : α) : map ((↑) : Iio a → α) atTop = 𝓝[<] a := map_coe_Ioi_atBot (α := αᵒᵈ) _ #align map_coe_Iio_at_top map_coe_Iio_atTop variable {l : Filter β} {f : α → β} @[simp] theorem tendsto_comp_coe_Ioo_atTop (h : a < b) : Tendsto (fun x : Ioo a b => f x) atTop l ↔ Tendsto f (𝓝[<] b) l := by rw [← map_coe_Ioo_atTop h, tendsto_map'_iff]; rfl #align tendsto_comp_coe_Ioo_at_top tendsto_comp_coe_Ioo_atTop @[simp]
Mathlib/Topology/Order/DenselyOrdered.lean
350
352
theorem tendsto_comp_coe_Ioo_atBot (h : a < b) : Tendsto (fun x : Ioo a b => f x) atBot l ↔ Tendsto f (𝓝[>] a) l := by
rw [← map_coe_Ioo_atBot h, tendsto_map'_iff]; rfl
import Mathlib.Analysis.BoxIntegral.Basic import Mathlib.MeasureTheory.Integral.SetIntegral import Mathlib.Tactic.Generalize #align_import analysis.box_integral.integrability from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open scoped Classical NNReal ENNReal Topology universe u v variable {ι : Type u} {E : Type v} [Fintype ι] [NormedAddCommGroup E] [NormedSpace ℝ E] open MeasureTheory Metric Set Finset Filter BoxIntegral namespace BoxIntegral theorem hasIntegralIndicatorConst (l : IntegrationParams) (hl : l.bRiemann = false) {s : Set (ι → ℝ)} (hs : MeasurableSet s) (I : Box ι) (y : E) (μ : Measure (ι → ℝ)) [IsLocallyFiniteMeasure μ] : HasIntegral.{u, v, v} I l (s.indicator fun _ => y) μ.toBoxAdditive.toSMul ((μ (s ∩ I)).toReal • y) := by refine HasIntegral.of_mul ‖y‖ fun ε ε0 => ?_ lift ε to ℝ≥0 using ε0.le; rw [NNReal.coe_pos] at ε0 have A : μ (s ∩ Box.Icc I) ≠ ∞ := ((measure_mono Set.inter_subset_right).trans_lt (I.measure_Icc_lt_top μ)).ne have B : μ (s ∩ I) ≠ ∞ := ((measure_mono Set.inter_subset_right).trans_lt (I.measure_coe_lt_top μ)).ne obtain ⟨F, hFs, hFc, hμF⟩ : ∃ F, F ⊆ s ∩ Box.Icc I ∧ IsClosed F ∧ μ ((s ∩ Box.Icc I) \ F) < ε := (hs.inter I.measurableSet_Icc).exists_isClosed_diff_lt A (ENNReal.coe_pos.2 ε0).ne' obtain ⟨U, hsU, hUo, hUt, hμU⟩ : ∃ U, s ∩ Box.Icc I ⊆ U ∧ IsOpen U ∧ μ U < ∞ ∧ μ (U \ (s ∩ Box.Icc I)) < ε := (hs.inter I.measurableSet_Icc).exists_isOpen_diff_lt A (ENNReal.coe_pos.2 ε0).ne' have : ∀ x ∈ s ∩ Box.Icc I, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ U := fun x hx => by rcases nhds_basis_closedBall.mem_iff.1 (hUo.mem_nhds <| hsU hx) with ⟨r, hr₀, hr⟩ exact ⟨⟨r, hr₀⟩, hr⟩ choose! rs hrsU using this have : ∀ x ∈ Box.Icc I \ s, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ Fᶜ := fun x hx => by obtain ⟨r, hr₀, hr⟩ := nhds_basis_closedBall.mem_iff.1 (hFc.isOpen_compl.mem_nhds fun hx' => hx.2 (hFs hx').1) exact ⟨⟨r, hr₀⟩, hr⟩ choose! rs' hrs'F using this set r : (ι → ℝ) → Ioi (0 : ℝ) := s.piecewise rs rs' refine ⟨fun _ => r, fun c => l.rCond_of_bRiemann_eq_false hl, fun c π hπ hπp => ?_⟩; rw [mul_comm] dsimp [integralSum] simp only [mem_closedBall, dist_eq_norm, ← indicator_const_smul_apply, sum_indicator_eq_sum_filter, ← sum_smul, ← sub_smul, norm_smul, Real.norm_eq_abs, ← Prepartition.filter_boxes, ← Prepartition.measure_iUnion_toReal] gcongr set t := (π.filter (π.tag · ∈ s)).iUnion change abs ((μ t).toReal - (μ (s ∩ I)).toReal) ≤ ε have htU : t ⊆ U ∩ I := by simp only [t, TaggedPrepartition.iUnion_def, iUnion_subset_iff, TaggedPrepartition.mem_filter, and_imp] refine fun J hJ hJs x hx => ⟨hrsU _ ⟨hJs, π.tag_mem_Icc J⟩ ?_, π.le_of_mem' J hJ hx⟩ simpa only [r, s.piecewise_eq_of_mem _ _ hJs] using hπ.1 J hJ (Box.coe_subset_Icc hx) refine abs_sub_le_iff.2 ⟨?_, ?_⟩ · refine (ENNReal.le_toReal_sub B).trans (ENNReal.toReal_le_coe_of_le_coe ?_) refine (tsub_le_tsub (measure_mono htU) le_rfl).trans (le_measure_diff.trans ?_) refine (measure_mono fun x hx => ?_).trans hμU.le exact ⟨hx.1.1, fun hx' => hx.2 ⟨hx'.1, hx.1.2⟩⟩ · have hμt : μ t ≠ ∞ := ((measure_mono (htU.trans inter_subset_left)).trans_lt hUt).ne refine (ENNReal.le_toReal_sub hμt).trans (ENNReal.toReal_le_coe_of_le_coe ?_) refine le_measure_diff.trans ((measure_mono ?_).trans hμF.le) rintro x ⟨⟨hxs, hxI⟩, hxt⟩ refine ⟨⟨hxs, Box.coe_subset_Icc hxI⟩, fun hxF => hxt ?_⟩ simp only [t, TaggedPrepartition.iUnion_def, TaggedPrepartition.mem_filter, Set.mem_iUnion] rcases hπp x hxI with ⟨J, hJπ, hxJ⟩ refine ⟨J, ⟨hJπ, ?_⟩, hxJ⟩ contrapose hxF refine hrs'F _ ⟨π.tag_mem_Icc J, hxF⟩ ?_ simpa only [r, s.piecewise_eq_of_not_mem _ _ hxF] using hπ.1 J hJπ (Box.coe_subset_Icc hxJ) #align box_integral.has_integral_indicator_const BoxIntegral.hasIntegralIndicatorConst theorem HasIntegral.of_aeEq_zero {l : IntegrationParams} {I : Box ι} {f : (ι → ℝ) → E} {μ : Measure (ι → ℝ)} [IsLocallyFiniteMeasure μ] (hf : f =ᵐ[μ.restrict I] 0) (hl : l.bRiemann = false) : HasIntegral.{u, v, v} I l f μ.toBoxAdditive.toSMul 0 := by refine hasIntegral_iff.2 fun ε ε0 => ?_ lift ε to ℝ≥0 using ε0.lt.le; rw [gt_iff_lt, NNReal.coe_pos] at ε0 rcases NNReal.exists_pos_sum_of_countable ε0.ne' ℕ with ⟨δ, δ0, c, hδc, hcε⟩ haveI := Fact.mk (I.measure_coe_lt_top μ) change μ.restrict I {x | f x ≠ 0} = 0 at hf set N : (ι → ℝ) → ℕ := fun x => ⌈‖f x‖⌉₊ have N0 : ∀ {x}, N x = 0 ↔ f x = 0 := by simp [N] have : ∀ n, ∃ U, N ⁻¹' {n} ⊆ U ∧ IsOpen U ∧ μ.restrict I U < δ n / n := fun n ↦ by refine (N ⁻¹' {n}).exists_isOpen_lt_of_lt _ ?_ cases' n with n · simpa [ENNReal.div_zero (ENNReal.coe_pos.2 (δ0 _)).ne'] using measure_lt_top (μ.restrict I) _ · refine (measure_mono_null ?_ hf).le.trans_lt ?_ · exact fun x hxN hxf => n.succ_ne_zero ((Eq.symm hxN).trans <| N0.2 hxf) · simp [(δ0 _).ne'] choose U hNU hUo hμU using this have : ∀ x, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ U (N x) := fun x => by obtain ⟨r, hr₀, hr⟩ := nhds_basis_closedBall.mem_iff.1 ((hUo _).mem_nhds (hNU _ rfl)) exact ⟨⟨r, hr₀⟩, hr⟩ choose r hrU using this refine ⟨fun _ => r, fun c => l.rCond_of_bRiemann_eq_false hl, fun c π hπ _ => ?_⟩ rw [dist_eq_norm, sub_zero, ← integralSum_fiberwise fun J => N (π.tag J)] refine le_trans ?_ (NNReal.coe_lt_coe.2 hcε).le refine (norm_sum_le_of_le _ ?_).trans (sum_le_hasSum _ (fun n _ => (δ n).2) (NNReal.hasSum_coe.2 hδc)) rintro n - dsimp [integralSum] have : ∀ J ∈ π.filter fun J => N (π.tag J) = n, ‖(μ ↑J).toReal • f (π.tag J)‖ ≤ (μ J).toReal * n := fun J hJ ↦ by rw [TaggedPrepartition.mem_filter] at hJ rw [norm_smul, Real.norm_eq_abs, abs_of_nonneg ENNReal.toReal_nonneg] gcongr exact hJ.2 ▸ Nat.le_ceil _ refine (norm_sum_le_of_le _ this).trans ?_; clear this rw [← sum_mul, ← Prepartition.measure_iUnion_toReal] let m := μ (π.filter fun J => N (π.tag J) = n).iUnion show m.toReal * ↑n ≤ ↑(δ n) have : m < δ n / n := by simp only [Measure.restrict_apply (hUo _).measurableSet] at hμU refine (measure_mono ?_).trans_lt (hμU _) simp only [Set.subset_def, TaggedPrepartition.mem_iUnion, TaggedPrepartition.mem_filter] rintro x ⟨J, ⟨hJ, rfl⟩, hx⟩ exact ⟨hrU _ (hπ.1 _ hJ (Box.coe_subset_Icc hx)), π.le_of_mem' J hJ hx⟩ clear_value m lift m to ℝ≥0 using ne_top_of_lt this rw [ENNReal.coe_toReal, ← NNReal.coe_natCast, ← NNReal.coe_mul, NNReal.coe_le_coe, ← ENNReal.coe_le_coe, ENNReal.coe_mul, ENNReal.coe_natCast, mul_comm] exact (mul_le_mul_left' this.le _).trans ENNReal.mul_div_le #align box_integral.has_integral_zero_of_ae_eq_zero BoxIntegral.HasIntegral.of_aeEq_zero
Mathlib/Analysis/BoxIntegral/Integrability.lean
160
165
theorem HasIntegral.congr_ae {l : IntegrationParams} {I : Box ι} {y : E} {f g : (ι → ℝ) → E} {μ : Measure (ι → ℝ)} [IsLocallyFiniteMeasure μ] (hf : HasIntegral.{u, v, v} I l f μ.toBoxAdditive.toSMul y) (hfg : f =ᵐ[μ.restrict I] g) (hl : l.bRiemann = false) : HasIntegral.{u, v, v} I l g μ.toBoxAdditive.toSMul y := by
have : g - f =ᵐ[μ.restrict I] 0 := hfg.mono fun x hx => sub_eq_zero.2 hx.symm simpa using hf.add (HasIntegral.of_aeEq_zero this hl)
import Mathlib.Algebra.Order.Ring.Cast import Mathlib.Data.Int.Cast.Lemmas import Mathlib.Data.Nat.Bitwise import Mathlib.Data.Nat.PSub import Mathlib.Data.Nat.Size import Mathlib.Data.Num.Bitwise #align_import data.num.lemmas from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" set_option linter.deprecated false -- Porting note: Required for the notation `-[n+1]`. open Int Function attribute [local simp] add_assoc namespace Num variable {α : Type*} open PosNum theorem add_zero (n : Num) : n + 0 = n := by cases n <;> rfl #align num.add_zero Num.add_zero
Mathlib/Data/Num/Lemmas.lean
213
213
theorem zero_add (n : Num) : 0 + n = n := by
cases n <;> rfl
import Mathlib.Data.Fin.Fin2 import Mathlib.Logic.Function.Basic import Mathlib.Tactic.Common #align_import data.typevec from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" universe u v w @[pp_with_univ] def TypeVec (n : ℕ) := Fin2 n → Type* #align typevec TypeVec instance {n} : Inhabited (TypeVec.{u} n) := ⟨fun _ => PUnit⟩ namespace TypeVec variable {n : ℕ} def Arrow (α β : TypeVec n) := ∀ i : Fin2 n, α i → β i #align typevec.arrow TypeVec.Arrow @[inherit_doc] scoped[MvFunctor] infixl:40 " ⟹ " => TypeVec.Arrow open MvFunctor @[ext] theorem Arrow.ext {α β : TypeVec n} (f g : α ⟹ β) : (∀ i, f i = g i) → f = g := by intro h; funext i; apply h instance Arrow.inhabited (α β : TypeVec n) [∀ i, Inhabited (β i)] : Inhabited (α ⟹ β) := ⟨fun _ _ => default⟩ #align typevec.arrow.inhabited TypeVec.Arrow.inhabited def id {α : TypeVec n} : α ⟹ α := fun _ x => x #align typevec.id TypeVec.id def comp {α β γ : TypeVec n} (g : β ⟹ γ) (f : α ⟹ β) : α ⟹ γ := fun i x => g i (f i x) #align typevec.comp TypeVec.comp @[inherit_doc] scoped[MvFunctor] infixr:80 " ⊚ " => TypeVec.comp -- type as \oo @[simp] theorem id_comp {α β : TypeVec n} (f : α ⟹ β) : id ⊚ f = f := rfl #align typevec.id_comp TypeVec.id_comp @[simp] theorem comp_id {α β : TypeVec n} (f : α ⟹ β) : f ⊚ id = f := rfl #align typevec.comp_id TypeVec.comp_id theorem comp_assoc {α β γ δ : TypeVec n} (h : γ ⟹ δ) (g : β ⟹ γ) (f : α ⟹ β) : (h ⊚ g) ⊚ f = h ⊚ g ⊚ f := rfl #align typevec.comp_assoc TypeVec.comp_assoc def append1 (α : TypeVec n) (β : Type*) : TypeVec (n + 1) | Fin2.fs i => α i | Fin2.fz => β #align typevec.append1 TypeVec.append1 @[inherit_doc] infixl:67 " ::: " => append1 def drop (α : TypeVec.{u} (n + 1)) : TypeVec n := fun i => α i.fs #align typevec.drop TypeVec.drop def last (α : TypeVec.{u} (n + 1)) : Type _ := α Fin2.fz #align typevec.last TypeVec.last instance last.inhabited (α : TypeVec (n + 1)) [Inhabited (α Fin2.fz)] : Inhabited (last α) := ⟨show α Fin2.fz from default⟩ #align typevec.last.inhabited TypeVec.last.inhabited theorem drop_append1 {α : TypeVec n} {β : Type*} {i : Fin2 n} : drop (append1 α β) i = α i := rfl #align typevec.drop_append1 TypeVec.drop_append1 theorem drop_append1' {α : TypeVec n} {β : Type*} : drop (append1 α β) = α := funext fun _ => drop_append1 #align typevec.drop_append1' TypeVec.drop_append1' theorem last_append1 {α : TypeVec n} {β : Type*} : last (append1 α β) = β := rfl #align typevec.last_append1 TypeVec.last_append1 @[simp] theorem append1_drop_last (α : TypeVec (n + 1)) : append1 (drop α) (last α) = α := funext fun i => by cases i <;> rfl #align typevec.append1_drop_last TypeVec.append1_drop_last @[elab_as_elim] def append1Cases {C : TypeVec (n + 1) → Sort u} (H : ∀ α β, C (append1 α β)) (γ) : C γ := by rw [← @append1_drop_last _ γ]; apply H #align typevec.append1_cases TypeVec.append1Cases @[simp] theorem append1_cases_append1 {C : TypeVec (n + 1) → Sort u} (H : ∀ α β, C (append1 α β)) (α β) : @append1Cases _ C H (append1 α β) = H α β := rfl #align typevec.append1_cases_append1 TypeVec.append1_cases_append1 def splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') : α ⟹ α' | Fin2.fs i => f i | Fin2.fz => g #align typevec.split_fun TypeVec.splitFun def appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') : append1 α β ⟹ append1 α' β' := splitFun f g #align typevec.append_fun TypeVec.appendFun @[inherit_doc] infixl:0 " ::: " => appendFun def dropFun {α β : TypeVec (n + 1)} (f : α ⟹ β) : drop α ⟹ drop β := fun i => f i.fs #align typevec.drop_fun TypeVec.dropFun def lastFun {α β : TypeVec (n + 1)} (f : α ⟹ β) : last α → last β := f Fin2.fz #align typevec.last_fun TypeVec.lastFun -- Porting note: Lean wasn't able to infer the motive in term mode def nilFun {α : TypeVec 0} {β : TypeVec 0} : α ⟹ β := fun i => by apply Fin2.elim0 i #align typevec.nil_fun TypeVec.nilFun theorem eq_of_drop_last_eq {α β : TypeVec (n + 1)} {f g : α ⟹ β} (h₀ : dropFun f = dropFun g) (h₁ : lastFun f = lastFun g) : f = g := by -- Porting note: FIXME: congr_fun h₀ <;> ext1 ⟨⟩ <;> apply_assumption refine funext (fun x => ?_) cases x · apply h₁ · apply congr_fun h₀ #align typevec.eq_of_drop_last_eq TypeVec.eq_of_drop_last_eq @[simp] theorem dropFun_splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') : dropFun (splitFun f g) = f := rfl #align typevec.drop_fun_split_fun TypeVec.dropFun_splitFun def Arrow.mp {α β : TypeVec n} (h : α = β) : α ⟹ β | _ => Eq.mp (congr_fun h _) #align typevec.arrow.mp TypeVec.Arrow.mp def Arrow.mpr {α β : TypeVec n} (h : α = β) : β ⟹ α | _ => Eq.mpr (congr_fun h _) #align typevec.arrow.mpr TypeVec.Arrow.mpr def toAppend1DropLast {α : TypeVec (n + 1)} : α ⟹ (drop α ::: last α) := Arrow.mpr (append1_drop_last _) #align typevec.to_append1_drop_last TypeVec.toAppend1DropLast def fromAppend1DropLast {α : TypeVec (n + 1)} : (drop α ::: last α) ⟹ α := Arrow.mp (append1_drop_last _) #align typevec.from_append1_drop_last TypeVec.fromAppend1DropLast @[simp] theorem lastFun_splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') : lastFun (splitFun f g) = g := rfl #align typevec.last_fun_split_fun TypeVec.lastFun_splitFun @[simp] theorem dropFun_appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') : dropFun (f ::: g) = f := rfl #align typevec.drop_fun_append_fun TypeVec.dropFun_appendFun @[simp] theorem lastFun_appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') : lastFun (f ::: g) = g := rfl #align typevec.last_fun_append_fun TypeVec.lastFun_appendFun theorem split_dropFun_lastFun {α α' : TypeVec (n + 1)} (f : α ⟹ α') : splitFun (dropFun f) (lastFun f) = f := eq_of_drop_last_eq rfl rfl #align typevec.split_drop_fun_last_fun TypeVec.split_dropFun_lastFun theorem splitFun_inj {α α' : TypeVec (n + 1)} {f f' : drop α ⟹ drop α'} {g g' : last α → last α'} (H : splitFun f g = splitFun f' g') : f = f' ∧ g = g' := by rw [← dropFun_splitFun f g, H, ← lastFun_splitFun f g, H]; simp #align typevec.split_fun_inj TypeVec.splitFun_inj theorem appendFun_inj {α α' : TypeVec n} {β β' : Type*} {f f' : α ⟹ α'} {g g' : β → β'} : (f ::: g : (α ::: β) ⟹ _) = (f' ::: g' : (α ::: β) ⟹ _) → f = f' ∧ g = g' := splitFun_inj #align typevec.append_fun_inj TypeVec.appendFun_inj theorem splitFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : drop α₀ ⟹ drop α₁) (f₁ : drop α₁ ⟹ drop α₂) (g₀ : last α₀ → last α₁) (g₁ : last α₁ → last α₂) : splitFun (f₁ ⊚ f₀) (g₁ ∘ g₀) = splitFun f₁ g₁ ⊚ splitFun f₀ g₀ := eq_of_drop_last_eq rfl rfl #align typevec.split_fun_comp TypeVec.splitFun_comp theorem appendFun_comp_splitFun {α γ : TypeVec n} {β δ : Type*} {ε : TypeVec (n + 1)} (f₀ : drop ε ⟹ α) (f₁ : α ⟹ γ) (g₀ : last ε → β) (g₁ : β → δ) : appendFun f₁ g₁ ⊚ splitFun f₀ g₀ = splitFun (α' := γ.append1 δ) (f₁ ⊚ f₀) (g₁ ∘ g₀) := (splitFun_comp _ _ _ _).symm #align typevec.append_fun_comp_split_fun TypeVec.appendFun_comp_splitFun theorem appendFun_comp {α₀ α₁ α₂ : TypeVec n} {β₀ β₁ β₂ : Type*} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) : (f₁ ⊚ f₀ ::: g₁ ∘ g₀) = (f₁ ::: g₁) ⊚ (f₀ ::: g₀) := eq_of_drop_last_eq rfl rfl #align typevec.append_fun_comp TypeVec.appendFun_comp theorem appendFun_comp' {α₀ α₁ α₂ : TypeVec n} {β₀ β₁ β₂ : Type*} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) : (f₁ ::: g₁) ⊚ (f₀ ::: g₀) = (f₁ ⊚ f₀ ::: g₁ ∘ g₀) := eq_of_drop_last_eq rfl rfl #align typevec.append_fun_comp' TypeVec.appendFun_comp' theorem nilFun_comp {α₀ : TypeVec 0} (f₀ : α₀ ⟹ Fin2.elim0) : nilFun ⊚ f₀ = f₀ := funext fun x => by apply Fin2.elim0 x -- Porting note: `by apply` is necessary? #align typevec.nil_fun_comp TypeVec.nilFun_comp theorem appendFun_comp_id {α : TypeVec n} {β₀ β₁ β₂ : Type u} (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) : (@id _ α ::: g₁ ∘ g₀) = (id ::: g₁) ⊚ (id ::: g₀) := eq_of_drop_last_eq rfl rfl #align typevec.append_fun_comp_id TypeVec.appendFun_comp_id @[simp] theorem dropFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) : dropFun (f₁ ⊚ f₀) = dropFun f₁ ⊚ dropFun f₀ := rfl #align typevec.drop_fun_comp TypeVec.dropFun_comp @[simp] theorem lastFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) : lastFun (f₁ ⊚ f₀) = lastFun f₁ ∘ lastFun f₀ := rfl #align typevec.last_fun_comp TypeVec.lastFun_comp theorem appendFun_aux {α α' : TypeVec n} {β β' : Type*} (f : (α ::: β) ⟹ (α' ::: β')) : (dropFun f ::: lastFun f) = f := eq_of_drop_last_eq rfl rfl #align typevec.append_fun_aux TypeVec.appendFun_aux theorem appendFun_id_id {α : TypeVec n} {β : Type*} : (@TypeVec.id n α ::: @_root_.id β) = TypeVec.id := eq_of_drop_last_eq rfl rfl #align typevec.append_fun_id_id TypeVec.appendFun_id_id instance subsingleton0 : Subsingleton (TypeVec 0) := ⟨fun a b => funext fun a => by apply Fin2.elim0 a⟩ -- Porting note: `by apply` necessary? #align typevec.subsingleton0 TypeVec.subsingleton0 -- Porting note: `simp` attribute `TypeVec` moved to file `Tactic/Attr/Register.lean` protected def casesNil {β : TypeVec 0 → Sort*} (f : β Fin2.elim0) : ∀ v, β v := fun v => cast (by congr; funext i; cases i) f #align typevec.cases_nil TypeVec.casesNil protected def casesCons (n : ℕ) {β : TypeVec (n + 1) → Sort*} (f : ∀ (t) (v : TypeVec n), β (v ::: t)) : ∀ v, β v := fun v : TypeVec (n + 1) => cast (by simp) (f v.last v.drop) #align typevec.cases_cons TypeVec.casesCons protected theorem casesNil_append1 {β : TypeVec 0 → Sort*} (f : β Fin2.elim0) : TypeVec.casesNil f Fin2.elim0 = f := rfl #align typevec.cases_nil_append1 TypeVec.casesNil_append1 protected theorem casesCons_append1 (n : ℕ) {β : TypeVec (n + 1) → Sort*} (f : ∀ (t) (v : TypeVec n), β (v ::: t)) (v : TypeVec n) (α) : TypeVec.casesCons n f (v ::: α) = f α v := rfl #align typevec.cases_cons_append1 TypeVec.casesCons_append1 def typevecCasesNil₃ {β : ∀ v v' : TypeVec 0, v ⟹ v' → Sort*} (f : β Fin2.elim0 Fin2.elim0 nilFun) : ∀ v v' fs, β v v' fs := fun v v' fs => by refine cast ?_ f have eq₁ : v = Fin2.elim0 := by funext i; contradiction have eq₂ : v' = Fin2.elim0 := by funext i; contradiction have eq₃ : fs = nilFun := by funext i; contradiction cases eq₁; cases eq₂; cases eq₃; rfl #align typevec.typevec_cases_nil₃ TypeVec.typevecCasesNil₃ def typevecCasesCons₃ (n : ℕ) {β : ∀ v v' : TypeVec (n + 1), v ⟹ v' → Sort*} (F : ∀ (t t') (f : t → t') (v v' : TypeVec n) (fs : v ⟹ v'), β (v ::: t) (v' ::: t') (fs ::: f)) : ∀ v v' fs, β v v' fs := by intro v v' rw [← append1_drop_last v, ← append1_drop_last v'] intro fs rw [← split_dropFun_lastFun fs] apply F #align typevec.typevec_cases_cons₃ TypeVec.typevecCasesCons₃ def typevecCasesNil₂ {β : Fin2.elim0 ⟹ Fin2.elim0 → Sort*} (f : β nilFun) : ∀ f, β f := by intro g suffices g = nilFun by rwa [this] ext ⟨⟩ #align typevec.typevec_cases_nil₂ TypeVec.typevecCasesNil₂ def typevecCasesCons₂ (n : ℕ) (t t' : Type*) (v v' : TypeVec n) {β : (v ::: t) ⟹ (v' ::: t') → Sort*} (F : ∀ (f : t → t') (fs : v ⟹ v'), β (fs ::: f)) : ∀ fs, β fs := by intro fs rw [← split_dropFun_lastFun fs] apply F #align typevec.typevec_cases_cons₂ TypeVec.typevecCasesCons₂ theorem typevecCasesNil₂_appendFun {β : Fin2.elim0 ⟹ Fin2.elim0 → Sort*} (f : β nilFun) : typevecCasesNil₂ f nilFun = f := rfl #align typevec.typevec_cases_nil₂_append_fun TypeVec.typevecCasesNil₂_appendFun theorem typevecCasesCons₂_appendFun (n : ℕ) (t t' : Type*) (v v' : TypeVec n) {β : (v ::: t) ⟹ (v' ::: t') → Sort*} (F : ∀ (f : t → t') (fs : v ⟹ v'), β (fs ::: f)) (f fs) : typevecCasesCons₂ n t t' v v' F (fs ::: f) = F f fs := rfl #align typevec.typevec_cases_cons₂_append_fun TypeVec.typevecCasesCons₂_appendFun -- for lifting predicates and relations def PredLast (α : TypeVec n) {β : Type*} (p : β → Prop) : ∀ ⦃i⦄, (α.append1 β) i → Prop | Fin2.fs _ => fun _ => True | Fin2.fz => p #align typevec.pred_last TypeVec.PredLast def RelLast (α : TypeVec n) {β γ : Type u} (r : β → γ → Prop) : ∀ ⦃i⦄, (α.append1 β) i → (α.append1 γ) i → Prop | Fin2.fs _ => Eq | Fin2.fz => r #align typevec.rel_last TypeVec.RelLast section Liftp' open Nat def «repeat» : ∀ (n : ℕ), Sort _ → TypeVec n | 0, _ => Fin2.elim0 | Nat.succ i, t => append1 («repeat» i t) t #align typevec.repeat TypeVec.repeat def prod : ∀ {n}, TypeVec.{u} n → TypeVec.{u} n → TypeVec n | 0, _, _ => Fin2.elim0 | n + 1, α, β => (@prod n (drop α) (drop β)) ::: (last α × last β) #align typevec.prod TypeVec.prod @[inherit_doc] scoped[MvFunctor] infixl:45 " ⊗ " => TypeVec.prod protected def const {β} (x : β) : ∀ {n} (α : TypeVec n), α ⟹ «repeat» _ β | succ _, α, Fin2.fs _ => TypeVec.const x (drop α) _ | succ _, _, Fin2.fz => fun _ => x #align typevec.const TypeVec.const open Function (uncurry) def repeatEq : ∀ {n} (α : TypeVec n), (α ⊗ α) ⟹ «repeat» _ Prop | 0, _ => nilFun | succ _, α => repeatEq (drop α) ::: uncurry Eq #align typevec.repeat_eq TypeVec.repeatEq theorem const_append1 {β γ} (x : γ) {n} (α : TypeVec n) : TypeVec.const x (α ::: β) = appendFun (TypeVec.const x α) fun _ => x := by ext i : 1; cases i <;> rfl #align typevec.const_append1 TypeVec.const_append1 theorem eq_nilFun {α β : TypeVec 0} (f : α ⟹ β) : f = nilFun := by ext x; cases x #align typevec.eq_nil_fun TypeVec.eq_nilFun theorem id_eq_nilFun {α : TypeVec 0} : @id _ α = nilFun := by ext x; cases x #align typevec.id_eq_nil_fun TypeVec.id_eq_nilFun theorem const_nil {β} (x : β) (α : TypeVec 0) : TypeVec.const x α = nilFun := by ext i : 1; cases i #align typevec.const_nil TypeVec.const_nil @[typevec] theorem repeat_eq_append1 {β} {n} (α : TypeVec n) : repeatEq (α ::: β) = splitFun (α := (α ⊗ α) ::: _ ) (α' := («repeat» n Prop) ::: _) (repeatEq α) (uncurry Eq) := by induction n <;> rfl #align typevec.repeat_eq_append1 TypeVec.repeat_eq_append1 @[typevec] theorem repeat_eq_nil (α : TypeVec 0) : repeatEq α = nilFun := by ext i; cases i #align typevec.repeat_eq_nil TypeVec.repeat_eq_nil def PredLast' (α : TypeVec n) {β : Type*} (p : β → Prop) : (α ::: β) ⟹ «repeat» (n + 1) Prop := splitFun (TypeVec.const True α) p #align typevec.pred_last' TypeVec.PredLast' def RelLast' (α : TypeVec n) {β : Type*} (p : β → β → Prop) : (α ::: β) ⊗ (α ::: β) ⟹ «repeat» (n + 1) Prop := splitFun (repeatEq α) (uncurry p) #align typevec.rel_last' TypeVec.RelLast' def Curry (F : TypeVec.{u} (n + 1) → Type*) (α : Type u) (β : TypeVec.{u} n) : Type _ := F (β ::: α) #align typevec.curry TypeVec.Curry instance Curry.inhabited (F : TypeVec.{u} (n + 1) → Type*) (α : Type u) (β : TypeVec.{u} n) [I : Inhabited (F <| (β ::: α))] : Inhabited (Curry F α β) := I #align typevec.curry.inhabited TypeVec.Curry.inhabited def dropRepeat (α : Type*) : ∀ {n}, drop («repeat» (succ n) α) ⟹ «repeat» n α | succ _, Fin2.fs i => dropRepeat α i | succ _, Fin2.fz => fun (a : α) => a #align typevec.drop_repeat TypeVec.dropRepeat def ofRepeat {α : Sort _} : ∀ {n i}, «repeat» n α i → α | _, Fin2.fz => fun (a : α) => a | _, Fin2.fs i => @ofRepeat _ _ i #align typevec.of_repeat TypeVec.ofRepeat theorem const_iff_true {α : TypeVec n} {i x p} : ofRepeat (TypeVec.const p α i x) ↔ p := by induction i with | fz => rfl | fs _ ih => erw [TypeVec.const, @ih (drop α) x] #align typevec.const_iff_true TypeVec.const_iff_true section variable {α β γ : TypeVec.{u} n} variable (p : α ⟹ «repeat» n Prop) (r : α ⊗ α ⟹ «repeat» n Prop) def prod.fst : ∀ {n} {α β : TypeVec.{u} n}, α ⊗ β ⟹ α | succ _, α, β, Fin2.fs i => @prod.fst _ (drop α) (drop β) i | succ _, _, _, Fin2.fz => Prod.fst #align typevec.prod.fst TypeVec.prod.fst def prod.snd : ∀ {n} {α β : TypeVec.{u} n}, α ⊗ β ⟹ β | succ _, α, β, Fin2.fs i => @prod.snd _ (drop α) (drop β) i | succ _, _, _, Fin2.fz => Prod.snd #align typevec.prod.snd TypeVec.prod.snd def prod.diag : ∀ {n} {α : TypeVec.{u} n}, α ⟹ α ⊗ α | succ _, α, Fin2.fs _, x => @prod.diag _ (drop α) _ x | succ _, _, Fin2.fz, x => (x, x) #align typevec.prod.diag TypeVec.prod.diag def prod.mk : ∀ {n} {α β : TypeVec.{u} n} (i : Fin2 n), α i → β i → (α ⊗ β) i | succ _, α, β, Fin2.fs i => mk (α := fun i => α i.fs) (β := fun i => β i.fs) i | succ _, _, _, Fin2.fz => Prod.mk #align typevec.prod.mk TypeVec.prod.mk end @[simp] theorem prod_fst_mk {α β : TypeVec n} (i : Fin2 n) (a : α i) (b : β i) : TypeVec.prod.fst i (prod.mk i a b) = a := by induction' i with _ _ _ i_ih · simp_all only [prod.fst, prod.mk] apply i_ih #align typevec.prod_fst_mk TypeVec.prod_fst_mk @[simp] theorem prod_snd_mk {α β : TypeVec n} (i : Fin2 n) (a : α i) (b : β i) : TypeVec.prod.snd i (prod.mk i a b) = b := by induction' i with _ _ _ i_ih · simp_all [prod.snd, prod.mk] apply i_ih #align typevec.prod_snd_mk TypeVec.prod_snd_mk protected def prod.map : ∀ {n} {α α' β β' : TypeVec.{u} n}, α ⟹ β → α' ⟹ β' → α ⊗ α' ⟹ β ⊗ β' | succ _, α, α', β, β', x, y, Fin2.fs _, a => @prod.map _ (drop α) (drop α') (drop β) (drop β') (dropFun x) (dropFun y) _ a | succ _, _, _, _, _, x, y, Fin2.fz, a => (x _ a.1, y _ a.2) #align typevec.prod.map TypeVec.prod.map @[inherit_doc] scoped[MvFunctor] infixl:45 " ⊗' " => TypeVec.prod.map
Mathlib/Data/TypeVec.lean
556
560
theorem fst_prod_mk {α α' β β' : TypeVec n} (f : α ⟹ β) (g : α' ⟹ β') : TypeVec.prod.fst ⊚ (f ⊗' g) = f ⊚ TypeVec.prod.fst := by
funext i; induction i with | fz => rfl | fs _ i_ih => apply i_ih
import Mathlib.Data.Vector.Basic import Mathlib.Data.Vector.Snoc set_option autoImplicit true namespace Vector section Fold section Flip variable (xs : Vector α n) (ys : Vector β n)
Mathlib/Data/Vector/MapLemmas.lean
385
387
theorem map₂_flip (f : α → β → γ) : map₂ f xs ys = map₂ (flip f) ys xs := by
induction xs, ys using Vector.inductionOn₂ <;> simp_all[flip]
import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ] #align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α) (h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy => Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy) #align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s) (hx : x ∈ s) : LowerSemicontinuousWithinAt f s x := h x hx #align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) : LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst #align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff] #align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) : LowerSemicontinuousAt f x := h x #align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α) (x : α) : LowerSemicontinuousWithinAt f s x := (h x).lowerSemicontinuousWithinAt s #align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) : LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x #align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_at_const lowerSemicontinuousAt_const theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx => lowerSemicontinuousWithinAt_const #align lower_semicontinuous_on_const lowerSemicontinuousOn_const theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x => lowerSemicontinuousAt_const #align lower_semicontinuous_const lowerSemicontinuous_const section variable [Zero β] theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuous (indicator s fun _x => y) := by intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · filter_upwards [hs.mem_nhds h] simp (config := { contextual := true }) [hz] · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz] #align is_open.lower_semicontinuous_indicator IsOpen.lowerSemicontinuous_indicator theorem IsOpen.lowerSemicontinuousOn_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousOn (indicator s fun _x => y) t := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t #align is_open.lower_semicontinuous_on_indicator IsOpen.lowerSemicontinuousOn_indicator theorem IsOpen.lowerSemicontinuousAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousAt (indicator s fun _x => y) x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x #align is_open.lower_semicontinuous_at_indicator IsOpen.lowerSemicontinuousAt_indicator theorem IsOpen.lowerSemicontinuousWithinAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousWithinAt (indicator s fun _x => y) t x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x #align is_open.lower_semicontinuous_within_at_indicator IsOpen.lowerSemicontinuousWithinAt_indicator theorem IsClosed.lowerSemicontinuous_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuous (indicator s fun _x => y) := by intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz, hz.trans_le hy] · filter_upwards [hs.isOpen_compl.mem_nhds h] simp (config := { contextual := true }) [hz] #align is_closed.lower_semicontinuous_indicator IsClosed.lowerSemicontinuous_indicator theorem IsClosed.lowerSemicontinuousOn_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousOn (indicator s fun _x => y) t := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t #align is_closed.lower_semicontinuous_on_indicator IsClosed.lowerSemicontinuousOn_indicator theorem IsClosed.lowerSemicontinuousAt_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousAt (indicator s fun _x => y) x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x #align is_closed.lower_semicontinuous_at_indicator IsClosed.lowerSemicontinuousAt_indicator theorem IsClosed.lowerSemicontinuousWithinAt_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousWithinAt (indicator s fun _x => y) t x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x #align is_closed.lower_semicontinuous_within_at_indicator IsClosed.lowerSemicontinuousWithinAt_indicator end theorem lowerSemicontinuous_iff_isOpen_preimage : LowerSemicontinuous f ↔ ∀ y, IsOpen (f ⁻¹' Ioi y) := ⟨fun H y => isOpen_iff_mem_nhds.2 fun x hx => H x y hx, fun H _x y y_lt => IsOpen.mem_nhds (H y) y_lt⟩ #align lower_semicontinuous_iff_is_open_preimage lowerSemicontinuous_iff_isOpen_preimage theorem LowerSemicontinuous.isOpen_preimage (hf : LowerSemicontinuous f) (y : β) : IsOpen (f ⁻¹' Ioi y) := lowerSemicontinuous_iff_isOpen_preimage.1 hf y #align lower_semicontinuous.is_open_preimage LowerSemicontinuous.isOpen_preimage section variable {γ : Type*} [LinearOrder γ] theorem lowerSemicontinuous_iff_isClosed_preimage {f : α → γ} : LowerSemicontinuous f ↔ ∀ y, IsClosed (f ⁻¹' Iic y) := by rw [lowerSemicontinuous_iff_isOpen_preimage] simp only [← isOpen_compl_iff, ← preimage_compl, compl_Iic] #align lower_semicontinuous_iff_is_closed_preimage lowerSemicontinuous_iff_isClosed_preimage theorem LowerSemicontinuous.isClosed_preimage {f : α → γ} (hf : LowerSemicontinuous f) (y : γ) : IsClosed (f ⁻¹' Iic y) := lowerSemicontinuous_iff_isClosed_preimage.1 hf y #align lower_semicontinuous.is_closed_preimage LowerSemicontinuous.isClosed_preimage variable [TopologicalSpace γ] [OrderTopology γ] theorem ContinuousWithinAt.lowerSemicontinuousWithinAt {f : α → γ} (h : ContinuousWithinAt f s x) : LowerSemicontinuousWithinAt f s x := fun _y hy => h (Ioi_mem_nhds hy) #align continuous_within_at.lower_semicontinuous_within_at ContinuousWithinAt.lowerSemicontinuousWithinAt theorem ContinuousAt.lowerSemicontinuousAt {f : α → γ} (h : ContinuousAt f x) : LowerSemicontinuousAt f x := fun _y hy => h (Ioi_mem_nhds hy) #align continuous_at.lower_semicontinuous_at ContinuousAt.lowerSemicontinuousAt theorem ContinuousOn.lowerSemicontinuousOn {f : α → γ} (h : ContinuousOn f s) : LowerSemicontinuousOn f s := fun x hx => (h x hx).lowerSemicontinuousWithinAt #align continuous_on.lower_semicontinuous_on ContinuousOn.lowerSemicontinuousOn theorem Continuous.lowerSemicontinuous {f : α → γ} (h : Continuous f) : LowerSemicontinuous f := fun _x => h.continuousAt.lowerSemicontinuousAt #align continuous.lower_semicontinuous Continuous.lowerSemicontinuous end section variable {γ : Type*} [CompleteLinearOrder γ] [DenselyOrdered γ] theorem lowerSemicontinuousWithinAt_iff_le_liminf {f : α → γ} : LowerSemicontinuousWithinAt f s x ↔ f x ≤ liminf f (𝓝[s] x) := by constructor · intro hf; unfold LowerSemicontinuousWithinAt at hf contrapose! hf obtain ⟨y, lty, ylt⟩ := exists_between hf; use y exact ⟨ylt, fun h => lty.not_le (le_liminf_of_le (by isBoundedDefault) (h.mono fun _ hx => le_of_lt hx))⟩ exact fun hf y ylt => eventually_lt_of_lt_liminf (ylt.trans_le hf) alias ⟨LowerSemicontinuousWithinAt.le_liminf, _⟩ := lowerSemicontinuousWithinAt_iff_le_liminf theorem lowerSemicontinuousAt_iff_le_liminf {f : α → γ} : LowerSemicontinuousAt f x ↔ f x ≤ liminf f (𝓝 x) := by rw [← lowerSemicontinuousWithinAt_univ_iff, lowerSemicontinuousWithinAt_iff_le_liminf, ← nhdsWithin_univ] alias ⟨LowerSemicontinuousAt.le_liminf, _⟩ := lowerSemicontinuousAt_iff_le_liminf theorem lowerSemicontinuous_iff_le_liminf {f : α → γ} : LowerSemicontinuous f ↔ ∀ x, f x ≤ liminf f (𝓝 x) := by simp only [← lowerSemicontinuousAt_iff_le_liminf, LowerSemicontinuous] alias ⟨LowerSemicontinuous.le_liminf, _⟩ := lowerSemicontinuous_iff_le_liminf theorem lowerSemicontinuousOn_iff_le_liminf {f : α → γ} : LowerSemicontinuousOn f s ↔ ∀ x ∈ s, f x ≤ liminf f (𝓝[s] x) := by simp only [← lowerSemicontinuousWithinAt_iff_le_liminf, LowerSemicontinuousOn] alias ⟨LowerSemicontinuousOn.le_liminf, _⟩ := lowerSemicontinuousOn_iff_le_liminf variable [TopologicalSpace γ] [OrderTopology γ] theorem lowerSemicontinuous_iff_isClosed_epigraph {f : α → γ} : LowerSemicontinuous f ↔ IsClosed {p : α × γ | f p.1 ≤ p.2} := by constructor · rw [lowerSemicontinuous_iff_le_liminf, isClosed_iff_forall_filter] rintro hf ⟨x, y⟩ F F_ne h h' rw [nhds_prod_eq, le_prod] at h' calc f x ≤ liminf f (𝓝 x) := hf x _ ≤ liminf f (map Prod.fst F) := liminf_le_liminf_of_le h'.1 _ = liminf (f ∘ Prod.fst) F := (Filter.liminf_comp _ _ _).symm _ ≤ liminf Prod.snd F := liminf_le_liminf <| by simpa using (eventually_principal.2 fun (_ : α × γ) ↦ id).filter_mono h _ = y := h'.2.liminf_eq · rw [lowerSemicontinuous_iff_isClosed_preimage] exact fun hf y ↦ hf.preimage (Continuous.Prod.mk_left y) @[deprecated (since := "2024-03-02")] alias lowerSemicontinuous_iff_IsClosed_epigraph := lowerSemicontinuous_iff_isClosed_epigraph alias ⟨LowerSemicontinuous.isClosed_epigraph, _⟩ := lowerSemicontinuous_iff_isClosed_epigraph @[deprecated (since := "2024-03-02")] alias LowerSemicontinuous.IsClosed_epigraph := LowerSemicontinuous.isClosed_epigraph end section variable {γ : Type*} [LinearOrder γ] [TopologicalSpace γ] [OrderTopology γ] variable {δ : Type*} [LinearOrder δ] [TopologicalSpace δ] [OrderTopology δ] variable {ι : Type*} [TopologicalSpace ι] theorem ContinuousAt.comp_lowerSemicontinuousWithinAt {g : γ → δ} {f : α → γ} (hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousWithinAt f s x) (gmon : Monotone g) : LowerSemicontinuousWithinAt (g ∘ f) s x := by intro y hy by_cases h : ∃ l, l < f x · obtain ⟨z, zlt, hz⟩ : ∃ z < f x, Ioc z (f x) ⊆ g ⁻¹' Ioi y := exists_Ioc_subset_of_mem_nhds (hg (Ioi_mem_nhds hy)) h filter_upwards [hf z zlt] with a ha calc y < g (min (f x) (f a)) := hz (by simp [zlt, ha, le_refl]) _ ≤ g (f a) := gmon (min_le_right _ _) · simp only [not_exists, not_lt] at h exact Filter.eventually_of_forall fun a => hy.trans_le (gmon (h (f a))) #align continuous_at.comp_lower_semicontinuous_within_at ContinuousAt.comp_lowerSemicontinuousWithinAt theorem ContinuousAt.comp_lowerSemicontinuousAt {g : γ → δ} {f : α → γ} (hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousAt f x) (gmon : Monotone g) : LowerSemicontinuousAt (g ∘ f) x := by simp only [← lowerSemicontinuousWithinAt_univ_iff] at hf ⊢ exact hg.comp_lowerSemicontinuousWithinAt hf gmon #align continuous_at.comp_lower_semicontinuous_at ContinuousAt.comp_lowerSemicontinuousAt theorem Continuous.comp_lowerSemicontinuousOn {g : γ → δ} {f : α → γ} (hg : Continuous g) (hf : LowerSemicontinuousOn f s) (gmon : Monotone g) : LowerSemicontinuousOn (g ∘ f) s := fun x hx => hg.continuousAt.comp_lowerSemicontinuousWithinAt (hf x hx) gmon #align continuous.comp_lower_semicontinuous_on Continuous.comp_lowerSemicontinuousOn theorem Continuous.comp_lowerSemicontinuous {g : γ → δ} {f : α → γ} (hg : Continuous g) (hf : LowerSemicontinuous f) (gmon : Monotone g) : LowerSemicontinuous (g ∘ f) := fun x => hg.continuousAt.comp_lowerSemicontinuousAt (hf x) gmon #align continuous.comp_lower_semicontinuous Continuous.comp_lowerSemicontinuous theorem ContinuousAt.comp_lowerSemicontinuousWithinAt_antitone {g : γ → δ} {f : α → γ} (hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousWithinAt f s x) (gmon : Antitone g) : UpperSemicontinuousWithinAt (g ∘ f) s x := @ContinuousAt.comp_lowerSemicontinuousWithinAt α _ x s γ _ _ _ δᵒᵈ _ _ _ g f hg hf gmon #align continuous_at.comp_lower_semicontinuous_within_at_antitone ContinuousAt.comp_lowerSemicontinuousWithinAt_antitone theorem ContinuousAt.comp_lowerSemicontinuousAt_antitone {g : γ → δ} {f : α → γ} (hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousAt f x) (gmon : Antitone g) : UpperSemicontinuousAt (g ∘ f) x := @ContinuousAt.comp_lowerSemicontinuousAt α _ x γ _ _ _ δᵒᵈ _ _ _ g f hg hf gmon #align continuous_at.comp_lower_semicontinuous_at_antitone ContinuousAt.comp_lowerSemicontinuousAt_antitone theorem Continuous.comp_lowerSemicontinuousOn_antitone {g : γ → δ} {f : α → γ} (hg : Continuous g) (hf : LowerSemicontinuousOn f s) (gmon : Antitone g) : UpperSemicontinuousOn (g ∘ f) s := fun x hx => hg.continuousAt.comp_lowerSemicontinuousWithinAt_antitone (hf x hx) gmon #align continuous.comp_lower_semicontinuous_on_antitone Continuous.comp_lowerSemicontinuousOn_antitone theorem Continuous.comp_lowerSemicontinuous_antitone {g : γ → δ} {f : α → γ} (hg : Continuous g) (hf : LowerSemicontinuous f) (gmon : Antitone g) : UpperSemicontinuous (g ∘ f) := fun x => hg.continuousAt.comp_lowerSemicontinuousAt_antitone (hf x) gmon #align continuous.comp_lower_semicontinuous_antitone Continuous.comp_lowerSemicontinuous_antitone theorem LowerSemicontinuousAt.comp_continuousAt {f : α → β} {g : ι → α} {x : ι} (hf : LowerSemicontinuousAt f (g x)) (hg : ContinuousAt g x) : LowerSemicontinuousAt (fun x ↦ f (g x)) x := fun _ lt ↦ hg.eventually (hf _ lt) theorem LowerSemicontinuousAt.comp_continuousAt_of_eq {f : α → β} {g : ι → α} {y : α} {x : ι} (hf : LowerSemicontinuousAt f y) (hg : ContinuousAt g x) (hy : g x = y) : LowerSemicontinuousAt (fun x ↦ f (g x)) x := by rw [← hy] at hf exact comp_continuousAt hf hg theorem LowerSemicontinuous.comp_continuous {f : α → β} {g : ι → α} (hf : LowerSemicontinuous f) (hg : Continuous g) : LowerSemicontinuous fun x ↦ f (g x) := fun x ↦ (hf (g x)).comp_continuousAt hg.continuousAt end section variable {ι : Type*} {γ : Type*} [LinearOrderedAddCommMonoid γ] [TopologicalSpace γ] [OrderTopology γ] theorem LowerSemicontinuousWithinAt.add' {f g : α → γ} (hf : LowerSemicontinuousWithinAt f s x) (hg : LowerSemicontinuousWithinAt g s x) (hcont : ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) : LowerSemicontinuousWithinAt (fun z => f z + g z) s x := by intro y hy obtain ⟨u, v, u_open, xu, v_open, xv, h⟩ : ∃ u v : Set γ, IsOpen u ∧ f x ∈ u ∧ IsOpen v ∧ g x ∈ v ∧ u ×ˢ v ⊆ { p : γ × γ | y < p.fst + p.snd } := mem_nhds_prod_iff'.1 (hcont (isOpen_Ioi.mem_nhds hy)) by_cases hx₁ : ∃ l, l < f x · obtain ⟨z₁, z₁lt, h₁⟩ : ∃ z₁ < f x, Ioc z₁ (f x) ⊆ u := exists_Ioc_subset_of_mem_nhds (u_open.mem_nhds xu) hx₁ by_cases hx₂ : ∃ l, l < g x · obtain ⟨z₂, z₂lt, h₂⟩ : ∃ z₂ < g x, Ioc z₂ (g x) ⊆ v := exists_Ioc_subset_of_mem_nhds (v_open.mem_nhds xv) hx₂ filter_upwards [hf z₁ z₁lt, hg z₂ z₂lt] with z h₁z h₂z have A1 : min (f z) (f x) ∈ u := by by_cases H : f z ≤ f x · simp [H] exact h₁ ⟨h₁z, H⟩ · simp [le_of_not_le H] exact h₁ ⟨z₁lt, le_rfl⟩ have A2 : min (g z) (g x) ∈ v := by by_cases H : g z ≤ g x · simp [H] exact h₂ ⟨h₂z, H⟩ · simp [le_of_not_le H] exact h₂ ⟨z₂lt, le_rfl⟩ have : (min (f z) (f x), min (g z) (g x)) ∈ u ×ˢ v := ⟨A1, A2⟩ calc y < min (f z) (f x) + min (g z) (g x) := h this _ ≤ f z + g z := add_le_add (min_le_left _ _) (min_le_left _ _) · simp only [not_exists, not_lt] at hx₂ filter_upwards [hf z₁ z₁lt] with z h₁z have A1 : min (f z) (f x) ∈ u := by by_cases H : f z ≤ f x · simp [H] exact h₁ ⟨h₁z, H⟩ · simp [le_of_not_le H] exact h₁ ⟨z₁lt, le_rfl⟩ have : (min (f z) (f x), g x) ∈ u ×ˢ v := ⟨A1, xv⟩ calc y < min (f z) (f x) + g x := h this _ ≤ f z + g z := add_le_add (min_le_left _ _) (hx₂ (g z)) · simp only [not_exists, not_lt] at hx₁ by_cases hx₂ : ∃ l, l < g x · obtain ⟨z₂, z₂lt, h₂⟩ : ∃ z₂ < g x, Ioc z₂ (g x) ⊆ v := exists_Ioc_subset_of_mem_nhds (v_open.mem_nhds xv) hx₂ filter_upwards [hg z₂ z₂lt] with z h₂z have A2 : min (g z) (g x) ∈ v := by by_cases H : g z ≤ g x · simp [H] exact h₂ ⟨h₂z, H⟩ · simp [le_of_not_le H] exact h₂ ⟨z₂lt, le_rfl⟩ have : (f x, min (g z) (g x)) ∈ u ×ˢ v := ⟨xu, A2⟩ calc y < f x + min (g z) (g x) := h this _ ≤ f z + g z := add_le_add (hx₁ (f z)) (min_le_left _ _) · simp only [not_exists, not_lt] at hx₁ hx₂ apply Filter.eventually_of_forall intro z have : (f x, g x) ∈ u ×ˢ v := ⟨xu, xv⟩ calc y < f x + g x := h this _ ≤ f z + g z := add_le_add (hx₁ (f z)) (hx₂ (g z)) #align lower_semicontinuous_within_at.add' LowerSemicontinuousWithinAt.add' theorem LowerSemicontinuousAt.add' {f g : α → γ} (hf : LowerSemicontinuousAt f x) (hg : LowerSemicontinuousAt g x) (hcont : ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) : LowerSemicontinuousAt (fun z => f z + g z) x := by simp_rw [← lowerSemicontinuousWithinAt_univ_iff] at * exact hf.add' hg hcont #align lower_semicontinuous_at.add' LowerSemicontinuousAt.add' theorem LowerSemicontinuousOn.add' {f g : α → γ} (hf : LowerSemicontinuousOn f s) (hg : LowerSemicontinuousOn g s) (hcont : ∀ x ∈ s, ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) : LowerSemicontinuousOn (fun z => f z + g z) s := fun x hx => (hf x hx).add' (hg x hx) (hcont x hx) #align lower_semicontinuous_on.add' LowerSemicontinuousOn.add' theorem LowerSemicontinuous.add' {f g : α → γ} (hf : LowerSemicontinuous f) (hg : LowerSemicontinuous g) (hcont : ∀ x, ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) : LowerSemicontinuous fun z => f z + g z := fun x => (hf x).add' (hg x) (hcont x) #align lower_semicontinuous.add' LowerSemicontinuous.add' variable [ContinuousAdd γ] theorem LowerSemicontinuousWithinAt.add {f g : α → γ} (hf : LowerSemicontinuousWithinAt f s x) (hg : LowerSemicontinuousWithinAt g s x) : LowerSemicontinuousWithinAt (fun z => f z + g z) s x := hf.add' hg continuous_add.continuousAt #align lower_semicontinuous_within_at.add LowerSemicontinuousWithinAt.add theorem LowerSemicontinuousAt.add {f g : α → γ} (hf : LowerSemicontinuousAt f x) (hg : LowerSemicontinuousAt g x) : LowerSemicontinuousAt (fun z => f z + g z) x := hf.add' hg continuous_add.continuousAt #align lower_semicontinuous_at.add LowerSemicontinuousAt.add theorem LowerSemicontinuousOn.add {f g : α → γ} (hf : LowerSemicontinuousOn f s) (hg : LowerSemicontinuousOn g s) : LowerSemicontinuousOn (fun z => f z + g z) s := hf.add' hg fun _x _hx => continuous_add.continuousAt #align lower_semicontinuous_on.add LowerSemicontinuousOn.add theorem LowerSemicontinuous.add {f g : α → γ} (hf : LowerSemicontinuous f) (hg : LowerSemicontinuous g) : LowerSemicontinuous fun z => f z + g z := hf.add' hg fun _x => continuous_add.continuousAt #align lower_semicontinuous.add LowerSemicontinuous.add theorem lowerSemicontinuousWithinAt_sum {f : ι → α → γ} {a : Finset ι} (ha : ∀ i ∈ a, LowerSemicontinuousWithinAt (f i) s x) : LowerSemicontinuousWithinAt (fun z => ∑ i ∈ a, f i z) s x := by classical induction' a using Finset.induction_on with i a ia IH · exact lowerSemicontinuousWithinAt_const · simp only [ia, Finset.sum_insert, not_false_iff] exact LowerSemicontinuousWithinAt.add (ha _ (Finset.mem_insert_self i a)) (IH fun j ja => ha j (Finset.mem_insert_of_mem ja)) #align lower_semicontinuous_within_at_sum lowerSemicontinuousWithinAt_sum theorem lowerSemicontinuousAt_sum {f : ι → α → γ} {a : Finset ι} (ha : ∀ i ∈ a, LowerSemicontinuousAt (f i) x) : LowerSemicontinuousAt (fun z => ∑ i ∈ a, f i z) x := by simp_rw [← lowerSemicontinuousWithinAt_univ_iff] at * exact lowerSemicontinuousWithinAt_sum ha #align lower_semicontinuous_at_sum lowerSemicontinuousAt_sum theorem lowerSemicontinuousOn_sum {f : ι → α → γ} {a : Finset ι} (ha : ∀ i ∈ a, LowerSemicontinuousOn (f i) s) : LowerSemicontinuousOn (fun z => ∑ i ∈ a, f i z) s := fun x hx => lowerSemicontinuousWithinAt_sum fun i hi => ha i hi x hx #align lower_semicontinuous_on_sum lowerSemicontinuousOn_sum theorem lowerSemicontinuous_sum {f : ι → α → γ} {a : Finset ι} (ha : ∀ i ∈ a, LowerSemicontinuous (f i)) : LowerSemicontinuous fun z => ∑ i ∈ a, f i z := fun x => lowerSemicontinuousAt_sum fun i hi => ha i hi x #align lower_semicontinuous_sum lowerSemicontinuous_sum end section variable {ι : Sort*} {δ δ' : Type*} [CompleteLinearOrder δ] [ConditionallyCompleteLinearOrder δ']
Mathlib/Topology/Semicontinuous.lean
643
651
theorem lowerSemicontinuousWithinAt_ciSup {f : ι → α → δ'} (bdd : ∀ᶠ y in 𝓝[s] x, BddAbove (range fun i => f i y)) (h : ∀ i, LowerSemicontinuousWithinAt (f i) s x) : LowerSemicontinuousWithinAt (fun x' => ⨆ i, f i x') s x := by
cases isEmpty_or_nonempty ι · simpa only [iSup_of_empty'] using lowerSemicontinuousWithinAt_const · intro y hy rcases exists_lt_of_lt_ciSup hy with ⟨i, hi⟩ filter_upwards [h i y hi, bdd] with y hy hy' using hy.trans_le (le_ciSup hy' i)
import Mathlib.SetTheory.Ordinal.Arithmetic import Mathlib.SetTheory.Ordinal.Exponential #align_import set_theory.ordinal.cantor_normal_form from "leanprover-community/mathlib"@"991ff3b5269848f6dd942ae8e9dd3c946035dc8b" noncomputable section universe u open List namespace Ordinal @[elab_as_elim] noncomputable def CNFRec (b : Ordinal) {C : Ordinal → Sort*} (H0 : C 0) (H : ∀ o, o ≠ 0 → C (o % b ^ log b o) → C o) : ∀ o, C o := fun o ↦ by by_cases h : o = 0 · rw [h]; exact H0 · exact H o h (CNFRec _ H0 H (o % b ^ log b o)) termination_by o => o decreasing_by exact mod_opow_log_lt_self b h set_option linter.uppercaseLean3 false in #align ordinal.CNF_rec Ordinal.CNFRec @[simp] theorem CNFRec_zero {C : Ordinal → Sort*} (b : Ordinal) (H0 : C 0) (H : ∀ o, o ≠ 0 → C (o % b ^ log b o) → C o) : @CNFRec b C H0 H 0 = H0 := by rw [CNFRec, dif_pos rfl] rfl set_option linter.uppercaseLean3 false in #align ordinal.CNF_rec_zero Ordinal.CNFRec_zero theorem CNFRec_pos (b : Ordinal) {o : Ordinal} {C : Ordinal → Sort*} (ho : o ≠ 0) (H0 : C 0) (H : ∀ o, o ≠ 0 → C (o % b ^ log b o) → C o) : @CNFRec b C H0 H o = H o ho (@CNFRec b C H0 H _) := by rw [CNFRec, dif_neg ho] set_option linter.uppercaseLean3 false in #align ordinal.CNF_rec_pos Ordinal.CNFRec_pos -- Porting note: unknown attribute @[pp_nodot] def CNF (b o : Ordinal) : List (Ordinal × Ordinal) := CNFRec b [] (fun o _ho IH ↦ (log b o, o / b ^ log b o)::IH) o set_option linter.uppercaseLean3 false in #align ordinal.CNF Ordinal.CNF @[simp] theorem CNF_zero (b : Ordinal) : CNF b 0 = [] := CNFRec_zero b _ _ set_option linter.uppercaseLean3 false in #align ordinal.CNF_zero Ordinal.CNF_zero theorem CNF_ne_zero {b o : Ordinal} (ho : o ≠ 0) : CNF b o = (log b o, o / b ^ log b o)::CNF b (o % b ^ log b o) := CNFRec_pos b ho _ _ set_option linter.uppercaseLean3 false in #align ordinal.CNF_ne_zero Ordinal.CNF_ne_zero theorem zero_CNF {o : Ordinal} (ho : o ≠ 0) : CNF 0 o = [⟨0, o⟩] := by simp [CNF_ne_zero ho] set_option linter.uppercaseLean3 false in #align ordinal.zero_CNF Ordinal.zero_CNF theorem one_CNF {o : Ordinal} (ho : o ≠ 0) : CNF 1 o = [⟨0, o⟩] := by simp [CNF_ne_zero ho] set_option linter.uppercaseLean3 false in #align ordinal.one_CNF Ordinal.one_CNF
Mathlib/SetTheory/Ordinal/CantorNormalForm.lean
101
104
theorem CNF_of_le_one {b o : Ordinal} (hb : b ≤ 1) (ho : o ≠ 0) : CNF b o = [⟨0, o⟩] := by
rcases le_one_iff.1 hb with (rfl | rfl) · exact zero_CNF ho · exact one_CNF ho
import Mathlib.Algebra.Algebra.Tower import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.GroupTheory.MonoidLocalization import Mathlib.RingTheory.Ideal.Basic import Mathlib.GroupTheory.GroupAction.Ring #align_import ring_theory.localization.basic from "leanprover-community/mathlib"@"b69c9a770ecf37eb21f7b8cf4fa00de3b62694ec" open Function section CommSemiring variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S] variable [Algebra R S] {P : Type*} [CommSemiring P] @[mk_iff] class IsLocalization : Prop where -- Porting note: add ' to fields, and made new versions of these with either `S` or `M` explicit. map_units' : ∀ y : M, IsUnit (algebraMap R S y) surj' : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 exists_of_eq : ∀ {x y}, algebraMap R S x = algebraMap R S y → ∃ c : M, ↑c * x = ↑c * y #align is_localization IsLocalization variable {M} namespace IsLocalization section IsLocalization variable [IsLocalization M S] section @[inherit_doc IsLocalization.map_units'] theorem map_units : ∀ y : M, IsUnit (algebraMap R S y) := IsLocalization.map_units' variable (M) {S} @[inherit_doc IsLocalization.surj'] theorem surj : ∀ z : S, ∃ x : R × M, z * algebraMap R S x.2 = algebraMap R S x.1 := IsLocalization.surj' variable (S) @[inherit_doc IsLocalization.exists_of_eq] theorem eq_iff_exists {x y} : algebraMap R S x = algebraMap R S y ↔ ∃ c : M, ↑c * x = ↑c * y := Iff.intro IsLocalization.exists_of_eq fun ⟨c, h⟩ ↦ by apply_fun algebraMap R S at h rw [map_mul, map_mul] at h exact (IsLocalization.map_units S c).mul_right_inj.mp h variable {S} theorem of_le (N : Submonoid R) (h₁ : M ≤ N) (h₂ : ∀ r ∈ N, IsUnit (algebraMap R S r)) : IsLocalization N S where map_units' r := h₂ r r.2 surj' s := have ⟨⟨x, y, hy⟩, H⟩ := IsLocalization.surj M s ⟨⟨x, y, h₁ hy⟩, H⟩ exists_of_eq {x y} := by rw [IsLocalization.eq_iff_exists M] rintro ⟨c, hc⟩ exact ⟨⟨c, h₁ c.2⟩, hc⟩ #align is_localization.of_le IsLocalization.of_le variable (S) @[simps] def toLocalizationWithZeroMap : Submonoid.LocalizationWithZeroMap M S where __ := algebraMap R S toFun := algebraMap R S map_units' := IsLocalization.map_units _ surj' := IsLocalization.surj _ exists_of_eq _ _ := IsLocalization.exists_of_eq #align is_localization.to_localization_with_zero_map IsLocalization.toLocalizationWithZeroMap abbrev toLocalizationMap : Submonoid.LocalizationMap M S := (toLocalizationWithZeroMap M S).toLocalizationMap #align is_localization.to_localization_map IsLocalization.toLocalizationMap @[simp] theorem toLocalizationMap_toMap : (toLocalizationMap M S).toMap = (algebraMap R S : R →*₀ S) := rfl #align is_localization.to_localization_map_to_map IsLocalization.toLocalizationMap_toMap theorem toLocalizationMap_toMap_apply (x) : (toLocalizationMap M S).toMap x = algebraMap R S x := rfl #align is_localization.to_localization_map_to_map_apply IsLocalization.toLocalizationMap_toMap_apply theorem surj₂ : ∀ z w : S, ∃ z' w' : R, ∃ d : M, (z * algebraMap R S d = algebraMap R S z') ∧ (w * algebraMap R S d = algebraMap R S w') := (toLocalizationMap M S).surj₂ end variable (M) {S} noncomputable def sec (z : S) : R × M := Classical.choose <| IsLocalization.surj _ z #align is_localization.sec IsLocalization.sec @[simp] theorem toLocalizationMap_sec : (toLocalizationMap M S).sec = sec M := rfl #align is_localization.to_localization_map_sec IsLocalization.toLocalizationMap_sec theorem sec_spec (z : S) : z * algebraMap R S (IsLocalization.sec M z).2 = algebraMap R S (IsLocalization.sec M z).1 := Classical.choose_spec <| IsLocalization.surj _ z #align is_localization.sec_spec IsLocalization.sec_spec theorem sec_spec' (z : S) : algebraMap R S (IsLocalization.sec M z).1 = algebraMap R S (IsLocalization.sec M z).2 * z := by rw [mul_comm, sec_spec] #align is_localization.sec_spec' IsLocalization.sec_spec' variable {M} theorem subsingleton (h : 0 ∈ M) : Subsingleton S := (toLocalizationMap M S).subsingleton h theorem map_right_cancel {x y} {c : M} (h : algebraMap R S (c * x) = algebraMap R S (c * y)) : algebraMap R S x = algebraMap R S y := (toLocalizationMap M S).map_right_cancel h #align is_localization.map_right_cancel IsLocalization.map_right_cancel theorem map_left_cancel {x y} {c : M} (h : algebraMap R S (x * c) = algebraMap R S (y * c)) : algebraMap R S x = algebraMap R S y := (toLocalizationMap M S).map_left_cancel h #align is_localization.map_left_cancel IsLocalization.map_left_cancel theorem eq_zero_of_fst_eq_zero {z x} {y : M} (h : z * algebraMap R S y = algebraMap R S x) (hx : x = 0) : z = 0 := by rw [hx, (algebraMap R S).map_zero] at h exact (IsUnit.mul_left_eq_zero (IsLocalization.map_units S y)).1 h #align is_localization.eq_zero_of_fst_eq_zero IsLocalization.eq_zero_of_fst_eq_zero variable (M S) theorem map_eq_zero_iff (r : R) : algebraMap R S r = 0 ↔ ∃ m : M, ↑m * r = 0 := by constructor · intro h obtain ⟨m, hm⟩ := (IsLocalization.eq_iff_exists M S).mp ((algebraMap R S).map_zero.trans h.symm) exact ⟨m, by simpa using hm.symm⟩ · rintro ⟨m, hm⟩ rw [← (IsLocalization.map_units S m).mul_right_inj, mul_zero, ← RingHom.map_mul, hm, RingHom.map_zero] #align is_localization.map_eq_zero_iff IsLocalization.map_eq_zero_iff variable {M} noncomputable def mk' (x : R) (y : M) : S := (toLocalizationMap M S).mk' x y #align is_localization.mk' IsLocalization.mk' @[simp] theorem mk'_sec (z : S) : mk' S (IsLocalization.sec M z).1 (IsLocalization.sec M z).2 = z := (toLocalizationMap M S).mk'_sec _ #align is_localization.mk'_sec IsLocalization.mk'_sec theorem mk'_mul (x₁ x₂ : R) (y₁ y₂ : M) : mk' S (x₁ * x₂) (y₁ * y₂) = mk' S x₁ y₁ * mk' S x₂ y₂ := (toLocalizationMap M S).mk'_mul _ _ _ _ #align is_localization.mk'_mul IsLocalization.mk'_mul theorem mk'_one (x) : mk' S x (1 : M) = algebraMap R S x := (toLocalizationMap M S).mk'_one _ #align is_localization.mk'_one IsLocalization.mk'_one @[simp] theorem mk'_spec (x) (y : M) : mk' S x y * algebraMap R S y = algebraMap R S x := (toLocalizationMap M S).mk'_spec _ _ #align is_localization.mk'_spec IsLocalization.mk'_spec @[simp] theorem mk'_spec' (x) (y : M) : algebraMap R S y * mk' S x y = algebraMap R S x := (toLocalizationMap M S).mk'_spec' _ _ #align is_localization.mk'_spec' IsLocalization.mk'_spec' @[simp] theorem mk'_spec_mk (x) (y : R) (hy : y ∈ M) : mk' S x ⟨y, hy⟩ * algebraMap R S y = algebraMap R S x := mk'_spec S x ⟨y, hy⟩ #align is_localization.mk'_spec_mk IsLocalization.mk'_spec_mk @[simp] theorem mk'_spec'_mk (x) (y : R) (hy : y ∈ M) : algebraMap R S y * mk' S x ⟨y, hy⟩ = algebraMap R S x := mk'_spec' S x ⟨y, hy⟩ #align is_localization.mk'_spec'_mk IsLocalization.mk'_spec'_mk variable {S} theorem eq_mk'_iff_mul_eq {x} {y : M} {z} : z = mk' S x y ↔ z * algebraMap R S y = algebraMap R S x := (toLocalizationMap M S).eq_mk'_iff_mul_eq #align is_localization.eq_mk'_iff_mul_eq IsLocalization.eq_mk'_iff_mul_eq theorem mk'_eq_iff_eq_mul {x} {y : M} {z} : mk' S x y = z ↔ algebraMap R S x = z * algebraMap R S y := (toLocalizationMap M S).mk'_eq_iff_eq_mul #align is_localization.mk'_eq_iff_eq_mul IsLocalization.mk'_eq_iff_eq_mul theorem mk'_add_eq_iff_add_mul_eq_mul {x} {y : M} {z₁ z₂} : mk' S x y + z₁ = z₂ ↔ algebraMap R S x + z₁ * algebraMap R S y = z₂ * algebraMap R S y := by rw [← mk'_spec S x y, ← IsUnit.mul_left_inj (IsLocalization.map_units S y), right_distrib] #align is_localization.mk'_add_eq_iff_add_mul_eq_mul IsLocalization.mk'_add_eq_iff_add_mul_eq_mul variable (M) theorem mk'_surjective (z : S) : ∃ (x : _) (y : M), mk' S x y = z := let ⟨r, hr⟩ := IsLocalization.surj _ z ⟨r.1, r.2, (eq_mk'_iff_mul_eq.2 hr).symm⟩ #align is_localization.mk'_surjective IsLocalization.mk'_surjective variable (S) noncomputable def fintype' [Fintype R] : Fintype S := have := Classical.propDecidable Fintype.ofSurjective (Function.uncurry <| IsLocalization.mk' S) fun a => Prod.exists'.mpr <| IsLocalization.mk'_surjective M a #align is_localization.fintype' IsLocalization.fintype' variable {M S} def uniqueOfZeroMem (h : (0 : R) ∈ M) : Unique S := uniqueOfZeroEqOne <| by simpa using IsLocalization.map_units S ⟨0, h⟩ #align is_localization.unique_of_zero_mem IsLocalization.uniqueOfZeroMem theorem mk'_eq_iff_eq {x₁ x₂} {y₁ y₂ : M} : mk' S x₁ y₁ = mk' S x₂ y₂ ↔ algebraMap R S (y₂ * x₁) = algebraMap R S (y₁ * x₂) := (toLocalizationMap M S).mk'_eq_iff_eq #align is_localization.mk'_eq_iff_eq IsLocalization.mk'_eq_iff_eq theorem mk'_eq_iff_eq' {x₁ x₂} {y₁ y₂ : M} : mk' S x₁ y₁ = mk' S x₂ y₂ ↔ algebraMap R S (x₁ * y₂) = algebraMap R S (x₂ * y₁) := (toLocalizationMap M S).mk'_eq_iff_eq' #align is_localization.mk'_eq_iff_eq' IsLocalization.mk'_eq_iff_eq'
Mathlib/RingTheory/Localization/Basic.lean
333
340
theorem mk'_mem_iff {x} {y : M} {I : Ideal S} : mk' S x y ∈ I ↔ algebraMap R S x ∈ I := by
constructor <;> intro h · rw [← mk'_spec S x y, mul_comm] exact I.mul_mem_left ((algebraMap R S) y) h · rw [← mk'_spec S x y] at h obtain ⟨b, hb⟩ := isUnit_iff_exists_inv.1 (map_units S y) have := I.mul_mem_left b h rwa [mul_comm, mul_assoc, hb, mul_one] at this
import Mathlib.GroupTheory.QuotientGroup import Mathlib.GroupTheory.Solvable import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.Sylow import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Tactic.TFAE #align_import group_theory.nilpotent from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e" open Subgroup section WithGroup variable {G : Type*} [Group G] (H : Subgroup G) [Normal H] def upperCentralSeriesStep : Subgroup G where carrier := { x : G | ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ H } one_mem' y := by simp [Subgroup.one_mem] mul_mem' {a b ha hb y} := by convert Subgroup.mul_mem _ (ha (b * y * b⁻¹)) (hb y) using 1 group inv_mem' {x hx y} := by specialize hx y⁻¹ rw [mul_assoc, inv_inv] at hx ⊢ exact Subgroup.Normal.mem_comm inferInstance hx #align upper_central_series_step upperCentralSeriesStep theorem mem_upperCentralSeriesStep (x : G) : x ∈ upperCentralSeriesStep H ↔ ∀ y, x * y * x⁻¹ * y⁻¹ ∈ H := Iff.rfl #align mem_upper_central_series_step mem_upperCentralSeriesStep open QuotientGroup theorem upperCentralSeriesStep_eq_comap_center : upperCentralSeriesStep H = Subgroup.comap (mk' H) (center (G ⧸ H)) := by ext rw [mem_comap, mem_center_iff, forall_mk] apply forall_congr' intro y rw [coe_mk', ← QuotientGroup.mk_mul, ← QuotientGroup.mk_mul, eq_comm, eq_iff_div_mem, div_eq_mul_inv, mul_inv_rev, mul_assoc] #align upper_central_series_step_eq_comap_center upperCentralSeriesStep_eq_comap_center instance : Normal (upperCentralSeriesStep H) := by rw [upperCentralSeriesStep_eq_comap_center] infer_instance variable (G) def upperCentralSeriesAux : ℕ → Σ'H : Subgroup G, Normal H | 0 => ⟨⊥, inferInstance⟩ | n + 1 => let un := upperCentralSeriesAux n let _un_normal := un.2 ⟨upperCentralSeriesStep un.1, inferInstance⟩ #align upper_central_series_aux upperCentralSeriesAux def upperCentralSeries (n : ℕ) : Subgroup G := (upperCentralSeriesAux G n).1 #align upper_central_series upperCentralSeries instance upperCentralSeries_normal (n : ℕ) : Normal (upperCentralSeries G n) := (upperCentralSeriesAux G n).2 @[simp] theorem upperCentralSeries_zero : upperCentralSeries G 0 = ⊥ := rfl #align upper_central_series_zero upperCentralSeries_zero @[simp] theorem upperCentralSeries_one : upperCentralSeries G 1 = center G := by ext simp only [upperCentralSeries, upperCentralSeriesAux, upperCentralSeriesStep, Subgroup.mem_center_iff, mem_mk, mem_bot, Set.mem_setOf_eq] exact forall_congr' fun y => by rw [mul_inv_eq_one, mul_inv_eq_iff_eq_mul, eq_comm] #align upper_central_series_one upperCentralSeries_one theorem mem_upperCentralSeries_succ_iff (n : ℕ) (x : G) : x ∈ upperCentralSeries G (n + 1) ↔ ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ upperCentralSeries G n := Iff.rfl #align mem_upper_central_series_succ_iff mem_upperCentralSeries_succ_iff -- is_nilpotent is already defined in the root namespace (for elements of rings). class Group.IsNilpotent (G : Type*) [Group G] : Prop where nilpotent' : ∃ n : ℕ, upperCentralSeries G n = ⊤ #align group.is_nilpotent Group.IsNilpotent -- Porting note: add lemma since infer kinds are unsupported in the definition of `IsNilpotent` lemma Group.IsNilpotent.nilpotent (G : Type*) [Group G] [IsNilpotent G] : ∃ n : ℕ, upperCentralSeries G n = ⊤ := Group.IsNilpotent.nilpotent' open Group variable {G} def IsAscendingCentralSeries (H : ℕ → Subgroup G) : Prop := H 0 = ⊥ ∧ ∀ (x : G) (n : ℕ), x ∈ H (n + 1) → ∀ g, x * g * x⁻¹ * g⁻¹ ∈ H n #align is_ascending_central_series IsAscendingCentralSeries def IsDescendingCentralSeries (H : ℕ → Subgroup G) := H 0 = ⊤ ∧ ∀ (x : G) (n : ℕ), x ∈ H n → ∀ g, x * g * x⁻¹ * g⁻¹ ∈ H (n + 1) #align is_descending_central_series IsDescendingCentralSeries theorem ascending_central_series_le_upper (H : ℕ → Subgroup G) (hH : IsAscendingCentralSeries H) : ∀ n : ℕ, H n ≤ upperCentralSeries G n | 0 => hH.1.symm ▸ le_refl ⊥ | n + 1 => by intro x hx rw [mem_upperCentralSeries_succ_iff] exact fun y => ascending_central_series_le_upper H hH n (hH.2 x n hx y) #align ascending_central_series_le_upper ascending_central_series_le_upper variable (G) theorem upperCentralSeries_isAscendingCentralSeries : IsAscendingCentralSeries (upperCentralSeries G) := ⟨rfl, fun _x _n h => h⟩ #align upper_central_series_is_ascending_central_series upperCentralSeries_isAscendingCentralSeries theorem upperCentralSeries_mono : Monotone (upperCentralSeries G) := by refine monotone_nat_of_le_succ ?_ intro n x hx y rw [mul_assoc, mul_assoc, ← mul_assoc y x⁻¹ y⁻¹] exact mul_mem hx (Normal.conj_mem (upperCentralSeries_normal G n) x⁻¹ (inv_mem hx) y) #align upper_central_series_mono upperCentralSeries_mono theorem nilpotent_iff_finite_ascending_central_series : IsNilpotent G ↔ ∃ n : ℕ, ∃ H : ℕ → Subgroup G, IsAscendingCentralSeries H ∧ H n = ⊤ := by constructor · rintro ⟨n, nH⟩ exact ⟨_, _, upperCentralSeries_isAscendingCentralSeries G, nH⟩ · rintro ⟨n, H, hH, hn⟩ use n rw [eq_top_iff, ← hn] exact ascending_central_series_le_upper H hH n #align nilpotent_iff_finite_ascending_central_series nilpotent_iff_finite_ascending_central_series theorem is_decending_rev_series_of_is_ascending {H : ℕ → Subgroup G} {n : ℕ} (hn : H n = ⊤) (hasc : IsAscendingCentralSeries H) : IsDescendingCentralSeries fun m : ℕ => H (n - m) := by cases' hasc with h0 hH refine ⟨hn, fun x m hx g => ?_⟩ dsimp at hx by_cases hm : n ≤ m · rw [tsub_eq_zero_of_le hm, h0, Subgroup.mem_bot] at hx subst hx rw [show (1 : G) * g * (1⁻¹ : G) * g⁻¹ = 1 by group] exact Subgroup.one_mem _ · push_neg at hm apply hH convert hx using 1 rw [tsub_add_eq_add_tsub (Nat.succ_le_of_lt hm), Nat.succ_eq_add_one, Nat.add_sub_add_right] #align is_decending_rev_series_of_is_ascending is_decending_rev_series_of_is_ascending theorem is_ascending_rev_series_of_is_descending {H : ℕ → Subgroup G} {n : ℕ} (hn : H n = ⊥) (hdesc : IsDescendingCentralSeries H) : IsAscendingCentralSeries fun m : ℕ => H (n - m) := by cases' hdesc with h0 hH refine ⟨hn, fun x m hx g => ?_⟩ dsimp only at hx ⊢ by_cases hm : n ≤ m · have hnm : n - m = 0 := tsub_eq_zero_iff_le.mpr hm rw [hnm, h0] exact mem_top _ · push_neg at hm convert hH x _ hx g using 1 rw [tsub_add_eq_add_tsub (Nat.succ_le_of_lt hm), Nat.succ_eq_add_one, Nat.add_sub_add_right] #align is_ascending_rev_series_of_is_descending is_ascending_rev_series_of_is_descending theorem nilpotent_iff_finite_descending_central_series : IsNilpotent G ↔ ∃ n : ℕ, ∃ H : ℕ → Subgroup G, IsDescendingCentralSeries H ∧ H n = ⊥ := by rw [nilpotent_iff_finite_ascending_central_series] constructor · rintro ⟨n, H, hH, hn⟩ refine ⟨n, fun m => H (n - m), is_decending_rev_series_of_is_ascending G hn hH, ?_⟩ dsimp only rw [tsub_self] exact hH.1 · rintro ⟨n, H, hH, hn⟩ refine ⟨n, fun m => H (n - m), is_ascending_rev_series_of_is_descending G hn hH, ?_⟩ dsimp only rw [tsub_self] exact hH.1 #align nilpotent_iff_finite_descending_central_series nilpotent_iff_finite_descending_central_series def lowerCentralSeries (G : Type*) [Group G] : ℕ → Subgroup G | 0 => ⊤ | n + 1 => ⁅lowerCentralSeries G n, ⊤⁆ #align lower_central_series lowerCentralSeries variable {G} @[simp] theorem lowerCentralSeries_zero : lowerCentralSeries G 0 = ⊤ := rfl #align lower_central_series_zero lowerCentralSeries_zero @[simp] theorem lowerCentralSeries_one : lowerCentralSeries G 1 = commutator G := rfl #align lower_central_series_one lowerCentralSeries_one theorem mem_lowerCentralSeries_succ_iff (n : ℕ) (q : G) : q ∈ lowerCentralSeries G (n + 1) ↔ q ∈ closure { x | ∃ p ∈ lowerCentralSeries G n, ∃ q ∈ (⊤ : Subgroup G), p * q * p⁻¹ * q⁻¹ = x } := Iff.rfl #align mem_lower_central_series_succ_iff mem_lowerCentralSeries_succ_iff theorem lowerCentralSeries_succ (n : ℕ) : lowerCentralSeries G (n + 1) = closure { x | ∃ p ∈ lowerCentralSeries G n, ∃ q ∈ (⊤ : Subgroup G), p * q * p⁻¹ * q⁻¹ = x } := rfl #align lower_central_series_succ lowerCentralSeries_succ instance lowerCentralSeries_normal (n : ℕ) : Normal (lowerCentralSeries G n) := by induction' n with d hd · exact (⊤ : Subgroup G).normal_of_characteristic · exact @Subgroup.commutator_normal _ _ (lowerCentralSeries G d) ⊤ hd _ theorem lowerCentralSeries_antitone : Antitone (lowerCentralSeries G) := by refine antitone_nat_of_succ_le fun n x hx => ?_ simp only [mem_lowerCentralSeries_succ_iff, exists_prop, mem_top, exists_true_left, true_and_iff] at hx refine closure_induction hx ?_ (Subgroup.one_mem _) (@Subgroup.mul_mem _ _ _) (@Subgroup.inv_mem _ _ _) rintro y ⟨z, hz, a, ha⟩ rw [← ha, mul_assoc, mul_assoc, ← mul_assoc a z⁻¹ a⁻¹] exact mul_mem hz (Normal.conj_mem (lowerCentralSeries_normal n) z⁻¹ (inv_mem hz) a) #align lower_central_series_antitone lowerCentralSeries_antitone theorem lowerCentralSeries_isDescendingCentralSeries : IsDescendingCentralSeries (lowerCentralSeries G) := by constructor · rfl intro x n hxn g exact commutator_mem_commutator hxn (mem_top g) #align lower_central_series_is_descending_central_series lowerCentralSeries_isDescendingCentralSeries theorem descending_central_series_ge_lower (H : ℕ → Subgroup G) (hH : IsDescendingCentralSeries H) : ∀ n : ℕ, lowerCentralSeries G n ≤ H n | 0 => hH.1.symm ▸ le_refl ⊤ | n + 1 => commutator_le.mpr fun x hx q _ => hH.2 x n (descending_central_series_ge_lower H hH n hx) q #align descending_central_series_ge_lower descending_central_series_ge_lower theorem nilpotent_iff_lowerCentralSeries : IsNilpotent G ↔ ∃ n, lowerCentralSeries G n = ⊥ := by rw [nilpotent_iff_finite_descending_central_series] constructor · rintro ⟨n, H, ⟨h0, hs⟩, hn⟩ use n rw [eq_bot_iff, ← hn] exact descending_central_series_ge_lower H ⟨h0, hs⟩ n · rintro ⟨n, hn⟩ exact ⟨n, lowerCentralSeries G, lowerCentralSeries_isDescendingCentralSeries, hn⟩ #align nilpotent_iff_lower_central_series nilpotent_iff_lowerCentralSeries section Classical open scoped Classical variable [hG : IsNilpotent G] variable (G) noncomputable def Group.nilpotencyClass : ℕ := Nat.find (IsNilpotent.nilpotent G) #align group.nilpotency_class Group.nilpotencyClass variable {G} @[simp] theorem upperCentralSeries_nilpotencyClass : upperCentralSeries G (Group.nilpotencyClass G) = ⊤ := Nat.find_spec (IsNilpotent.nilpotent G) #align upper_central_series_nilpotency_class upperCentralSeries_nilpotencyClass theorem upperCentralSeries_eq_top_iff_nilpotencyClass_le {n : ℕ} : upperCentralSeries G n = ⊤ ↔ Group.nilpotencyClass G ≤ n := by constructor · intro h exact Nat.find_le h · intro h rw [eq_top_iff, ← upperCentralSeries_nilpotencyClass] exact upperCentralSeries_mono _ h #align upper_central_series_eq_top_iff_nilpotency_class_le upperCentralSeries_eq_top_iff_nilpotencyClass_le theorem least_ascending_central_series_length_eq_nilpotencyClass : Nat.find ((nilpotent_iff_finite_ascending_central_series G).mp hG) = Group.nilpotencyClass G := by refine le_antisymm (Nat.find_mono ?_) (Nat.find_mono ?_) · intro n hn exact ⟨upperCentralSeries G, upperCentralSeries_isAscendingCentralSeries G, hn⟩ · rintro n ⟨H, ⟨hH, hn⟩⟩ rw [← top_le_iff, ← hn] exact ascending_central_series_le_upper H hH n #align least_ascending_central_series_length_eq_nilpotency_class least_ascending_central_series_length_eq_nilpotencyClass theorem least_descending_central_series_length_eq_nilpotencyClass : Nat.find ((nilpotent_iff_finite_descending_central_series G).mp hG) = Group.nilpotencyClass G := by rw [← least_ascending_central_series_length_eq_nilpotencyClass] refine le_antisymm (Nat.find_mono ?_) (Nat.find_mono ?_) · rintro n ⟨H, ⟨hH, hn⟩⟩ refine ⟨fun m => H (n - m), is_decending_rev_series_of_is_ascending G hn hH, ?_⟩ dsimp only rw [tsub_self] exact hH.1 · rintro n ⟨H, ⟨hH, hn⟩⟩ refine ⟨fun m => H (n - m), is_ascending_rev_series_of_is_descending G hn hH, ?_⟩ dsimp only rw [tsub_self] exact hH.1 #align least_descending_central_series_length_eq_nilpotency_class least_descending_central_series_length_eq_nilpotencyClass theorem lowerCentralSeries_length_eq_nilpotencyClass : Nat.find (nilpotent_iff_lowerCentralSeries.mp hG) = Group.nilpotencyClass (G := G) := by rw [← least_descending_central_series_length_eq_nilpotencyClass] refine le_antisymm (Nat.find_mono ?_) (Nat.find_mono ?_) · rintro n ⟨H, ⟨hH, hn⟩⟩ rw [← le_bot_iff, ← hn] exact descending_central_series_ge_lower H hH n · rintro n h exact ⟨lowerCentralSeries G, ⟨lowerCentralSeries_isDescendingCentralSeries, h⟩⟩ #align lower_central_series_length_eq_nilpotency_class lowerCentralSeries_length_eq_nilpotencyClass @[simp] theorem lowerCentralSeries_nilpotencyClass : lowerCentralSeries G (Group.nilpotencyClass G) = ⊥ := by rw [← lowerCentralSeries_length_eq_nilpotencyClass] exact Nat.find_spec (nilpotent_iff_lowerCentralSeries.mp hG) #align lower_central_series_nilpotency_class lowerCentralSeries_nilpotencyClass
Mathlib/GroupTheory/Nilpotent.lean
433
441
theorem lowerCentralSeries_eq_bot_iff_nilpotencyClass_le {n : ℕ} : lowerCentralSeries G n = ⊥ ↔ Group.nilpotencyClass G ≤ n := by
constructor · intro h rw [← lowerCentralSeries_length_eq_nilpotencyClass] exact Nat.find_le h · intro h rw [eq_bot_iff, ← lowerCentralSeries_nilpotencyClass] exact lowerCentralSeries_antitone h
import Mathlib.Algebra.IsPrimePow import Mathlib.Algebra.Squarefree.Basic import Mathlib.Order.Hom.Bounded import Mathlib.Algebra.GCDMonoid.Basic #align_import ring_theory.chain_of_divisors from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" variable {M : Type*} [CancelCommMonoidWithZero M] theorem Associates.isAtom_iff {p : Associates M} (h₁ : p ≠ 0) : IsAtom p ↔ Irreducible p := ⟨fun hp => ⟨by simpa only [Associates.isUnit_iff_eq_one] using hp.1, fun a b h => (hp.le_iff.mp ⟨_, h⟩).casesOn (fun ha => Or.inl (a.isUnit_iff_eq_one.mpr ha)) fun ha => Or.inr (show IsUnit b by rw [ha] at h apply isUnit_of_associated_mul (show Associated (p * b) p by conv_rhs => rw [h]) h₁)⟩, fun hp => ⟨by simpa only [Associates.isUnit_iff_eq_one, Associates.bot_eq_one] using hp.1, fun b ⟨⟨a, hab⟩, hb⟩ => (hp.isUnit_or_isUnit hab).casesOn (fun hb => show b = ⊥ by rwa [Associates.isUnit_iff_eq_one, ← Associates.bot_eq_one] at hb) fun ha => absurd (show p ∣ b from ⟨(ha.unit⁻¹ : Units _), by rw [hab, mul_assoc, IsUnit.mul_val_inv ha, mul_one]⟩) hb⟩⟩ #align associates.is_atom_iff Associates.isAtom_iff open UniqueFactorizationMonoid multiplicity Irreducible Associates namespace DivisorChain theorem exists_chain_of_prime_pow {p : Associates M} {n : ℕ} (hn : n ≠ 0) (hp : Prime p) : ∃ c : Fin (n + 1) → Associates M, c 1 = p ∧ StrictMono c ∧ ∀ {r : Associates M}, r ≤ p ^ n ↔ ∃ i, r = c i := by refine ⟨fun i => p ^ (i : ℕ), ?_, fun n m h => ?_, @fun y => ⟨fun h => ?_, ?_⟩⟩ · dsimp only rw [Fin.val_one', Nat.mod_eq_of_lt, pow_one] exact Nat.lt_succ_of_le (Nat.one_le_iff_ne_zero.mpr hn) · exact Associates.dvdNotUnit_iff_lt.mp ⟨pow_ne_zero n hp.ne_zero, p ^ (m - n : ℕ), not_isUnit_of_not_isUnit_dvd hp.not_unit (dvd_pow dvd_rfl (Nat.sub_pos_of_lt h).ne'), (pow_mul_pow_sub p h.le).symm⟩ · obtain ⟨i, i_le, hi⟩ := (dvd_prime_pow hp n).1 h rw [associated_iff_eq] at hi exact ⟨⟨i, Nat.lt_succ_of_le i_le⟩, hi⟩ · rintro ⟨i, rfl⟩ exact ⟨p ^ (n - i : ℕ), (pow_mul_pow_sub p (Nat.succ_le_succ_iff.mp i.2)).symm⟩ #align divisor_chain.exists_chain_of_prime_pow DivisorChain.exists_chain_of_prime_pow theorem element_of_chain_not_isUnit_of_index_ne_zero {n : ℕ} {i : Fin (n + 1)} (i_pos : i ≠ 0) {c : Fin (n + 1) → Associates M} (h₁ : StrictMono c) : ¬IsUnit (c i) := DvdNotUnit.not_unit (Associates.dvdNotUnit_iff_lt.2 (h₁ <| show (0 : Fin (n + 1)) < i from Fin.pos_iff_ne_zero.mpr i_pos)) #align divisor_chain.element_of_chain_not_is_unit_of_index_ne_zero DivisorChain.element_of_chain_not_isUnit_of_index_ne_zero
Mathlib/RingTheory/ChainOfDivisors.lean
91
95
theorem first_of_chain_isUnit {q : Associates M} {n : ℕ} {c : Fin (n + 1) → Associates M} (h₁ : StrictMono c) (h₂ : ∀ {r}, r ≤ q ↔ ∃ i, r = c i) : IsUnit (c 0) := by
obtain ⟨i, hr⟩ := h₂.mp Associates.one_le rw [Associates.isUnit_iff_eq_one, ← Associates.le_one_iff, hr] exact h₁.monotone (Fin.zero_le i)
import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.Combinatorics.Pigeonhole #align_import dynamics.ergodic.conservative from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" noncomputable section open scoped Classical open Set Filter MeasureTheory Finset Function TopologicalSpace open scoped Classical open Topology variable {ι : Type*} {α : Type*} [MeasurableSpace α] {f : α → α} {s : Set α} {μ : Measure α} namespace MeasureTheory open Measure structure Conservative (f : α → α) (μ : Measure α) extends QuasiMeasurePreserving f μ μ : Prop where exists_mem_iterate_mem : ∀ ⦃s⦄, MeasurableSet s → μ s ≠ 0 → ∃ x ∈ s, ∃ m ≠ 0, f^[m] x ∈ s #align measure_theory.conservative MeasureTheory.Conservative protected theorem MeasurePreserving.conservative [IsFiniteMeasure μ] (h : MeasurePreserving f μ μ) : Conservative f μ := ⟨h.quasiMeasurePreserving, fun _ hsm h0 => h.exists_mem_iterate_mem hsm h0⟩ #align measure_theory.measure_preserving.conservative MeasureTheory.MeasurePreserving.conservative namespace Conservative protected theorem id (μ : Measure α) : Conservative id μ := { toQuasiMeasurePreserving := QuasiMeasurePreserving.id μ exists_mem_iterate_mem := fun _ _ h0 => let ⟨x, hx⟩ := nonempty_of_measure_ne_zero h0 ⟨x, hx, 1, one_ne_zero, hx⟩ } #align measure_theory.conservative.id MeasureTheory.Conservative.id theorem frequently_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) : ∃ᶠ m in atTop, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := by by_contra H simp only [not_frequently, eventually_atTop, Ne, Classical.not_not] at H rcases H with ⟨N, hN⟩ induction' N with N ihN · apply h0 simpa using hN 0 le_rfl rw [imp_false] at ihN push_neg at ihN rcases ihN with ⟨n, hn, hμn⟩ set T := s ∩ ⋃ n ≥ N + 1, f^[n] ⁻¹' s have hT : MeasurableSet T := hs.inter (MeasurableSet.biUnion (to_countable _) fun _ _ => hf.measurable.iterate _ hs) have hμT : μ T = 0 := by convert (measure_biUnion_null_iff <| to_countable _).2 hN rw [← inter_iUnion₂] rfl have : μ ((s ∩ f^[n] ⁻¹' s) \ T) ≠ 0 := by rwa [measure_diff_null hμT] rcases hf.exists_mem_iterate_mem ((hs.inter (hf.measurable.iterate n hs)).diff hT) this with ⟨x, ⟨⟨hxs, _⟩, hxT⟩, m, hm0, ⟨_, hxm⟩, _⟩ refine hxT ⟨hxs, mem_iUnion₂.2 ⟨n + m, ?_, ?_⟩⟩ · exact add_le_add hn (Nat.one_le_of_lt <| pos_iff_ne_zero.2 hm0) · rwa [Set.mem_preimage, ← iterate_add_apply] at hxm #align measure_theory.conservative.frequently_measure_inter_ne_zero MeasureTheory.Conservative.frequently_measure_inter_ne_zero theorem exists_gt_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) (N : ℕ) : ∃ m > N, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := let ⟨m, hm, hmN⟩ := ((hf.frequently_measure_inter_ne_zero hs h0).and_eventually (eventually_gt_atTop N)).exists ⟨m, hmN, hm⟩ #align measure_theory.conservative.exists_gt_measure_inter_ne_zero MeasureTheory.Conservative.exists_gt_measure_inter_ne_zero theorem measure_mem_forall_ge_image_not_mem_eq_zero (hf : Conservative f μ) (hs : MeasurableSet s) (n : ℕ) : μ ({ x ∈ s | ∀ m ≥ n, f^[m] x ∉ s }) = 0 := by by_contra H have : MeasurableSet (s ∩ { x | ∀ m ≥ n, f^[m] x ∉ s }) := by simp only [setOf_forall, ← compl_setOf] exact hs.inter (MeasurableSet.biInter (to_countable _) fun m _ => hf.measurable.iterate m hs.compl) rcases (hf.exists_gt_measure_inter_ne_zero this H) n with ⟨m, hmn, hm⟩ rcases nonempty_of_measure_ne_zero hm with ⟨x, ⟨_, hxn⟩, hxm, -⟩ exact hxn m hmn.lt.le hxm #align measure_theory.conservative.measure_mem_forall_ge_image_not_mem_eq_zero MeasureTheory.Conservative.measure_mem_forall_ge_image_not_mem_eq_zero
Mathlib/Dynamics/Ergodic/Conservative.lean
135
140
theorem ae_mem_imp_frequently_image_mem (hf : Conservative f μ) (hs : MeasurableSet s) : ∀ᵐ x ∂μ, x ∈ s → ∃ᶠ n in atTop, f^[n] x ∈ s := by
simp only [frequently_atTop, @forall_swap (_ ∈ s), ae_all_iff] intro n filter_upwards [measure_zero_iff_ae_nmem.1 (hf.measure_mem_forall_ge_image_not_mem_eq_zero hs n)] simp
import Mathlib.Data.Int.Range import Mathlib.Data.ZMod.Basic import Mathlib.NumberTheory.MulChar.Basic #align_import number_theory.legendre_symbol.zmod_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace ZMod section QuadCharModP @[simps] def χ₄ : MulChar (ZMod 4) ℤ where toFun := (![0, 1, 0, -1] : ZMod 4 → ℤ) map_one' := rfl map_mul' := by decide map_nonunit' := by decide #align zmod.χ₄ ZMod.χ₄ theorem isQuadratic_χ₄ : χ₄.IsQuadratic := by intro a -- Porting note (#11043): was `decide!` fin_cases a all_goals decide #align zmod.is_quadratic_χ₄ ZMod.isQuadratic_χ₄ theorem χ₄_nat_mod_four (n : ℕ) : χ₄ n = χ₄ (n % 4 : ℕ) := by rw [← ZMod.natCast_mod n 4] #align zmod.χ₄_nat_mod_four ZMod.χ₄_nat_mod_four
Mathlib/NumberTheory/LegendreSymbol/ZModChar.lean
60
62
theorem χ₄_int_mod_four (n : ℤ) : χ₄ n = χ₄ (n % 4 : ℤ) := by
rw [← ZMod.intCast_mod n 4] norm_cast
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' 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' (hmf.convolution_integrand_snd' L hmg) (eventually_of_forall fun x => ?_) rw [mul_apply', ← mul_assoc] apply L.le_opNorm₂ #align convolution_exists_at.of_norm' MeasureTheory.ConvolutionExistsAt.ofNorm' end section Right variable [MeasurableAdd₂ G] [MeasurableNeg G] [SigmaFinite μ] [IsAddRightInvariant μ] [SigmaFinite ν] theorem AEStronglyMeasurable.convolution_integrand (hf : AEStronglyMeasurable f ν) (hg : AEStronglyMeasurable g μ) : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := hf.convolution_integrand' L <| hg.mono_ac (quasiMeasurePreserving_sub_of_right_invariant μ ν).absolutelyContinuous #align measure_theory.ae_strongly_measurable.convolution_integrand MeasureTheory.AEStronglyMeasurable.convolution_integrand
Mathlib/Analysis/Convolution.lean
294
309
theorem Integrable.convolution_integrand (hf : Integrable f ν) (hg : Integrable g μ) : Integrable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := by
have h_meas : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable have h2_meas : AEStronglyMeasurable (fun y : G => ∫ x : G, ‖L (f y) (g (x - y))‖ ∂μ) ν := h_meas.prod_swap.norm.integral_prod_right' simp_rw [integrable_prod_iff' h_meas] refine ⟨eventually_of_forall fun t => (L (f t)).integrable_comp (hg.comp_sub_right t), ?_⟩ refine Integrable.mono' ?_ h2_meas (eventually_of_forall fun t => (?_ : _ ≤ ‖L‖ * ‖f t‖ * ∫ x, ‖g (x - t)‖ ∂μ)) · simp only [integral_sub_right_eq_self (‖g ·‖)] exact (hf.norm.const_mul _).mul_const _ · simp_rw [← integral_mul_left] rw [Real.norm_of_nonneg (by positivity)] exact integral_mono_of_nonneg (eventually_of_forall fun t => norm_nonneg _) ((hg.comp_sub_right t).norm.const_mul _) (eventually_of_forall fun t => L.le_opNorm₂ _ _)
import Mathlib.Combinatorics.SimpleGraph.Basic namespace SimpleGraph variable {V : Type*} (G : SimpleGraph V) structure Dart extends V × V where adj : G.Adj fst snd deriving DecidableEq #align simple_graph.dart SimpleGraph.Dart initialize_simps_projections Dart (+toProd, -fst, -snd) attribute [simp] Dart.adj variable {G} theorem Dart.ext_iff (d₁ d₂ : G.Dart) : d₁ = d₂ ↔ d₁.toProd = d₂.toProd := by cases d₁; cases d₂; simp #align simple_graph.dart.ext_iff SimpleGraph.Dart.ext_iff @[ext] theorem Dart.ext (d₁ d₂ : G.Dart) (h : d₁.toProd = d₂.toProd) : d₁ = d₂ := (Dart.ext_iff d₁ d₂).mpr h #align simple_graph.dart.ext SimpleGraph.Dart.ext -- Porting note: deleted `Dart.fst` and `Dart.snd` since they are now invalid declaration names, -- even though there is not actually a `SimpleGraph.Dart.fst` or `SimpleGraph.Dart.snd`. theorem Dart.toProd_injective : Function.Injective (Dart.toProd : G.Dart → V × V) := Dart.ext #align simple_graph.dart.to_prod_injective SimpleGraph.Dart.toProd_injective instance Dart.fintype [Fintype V] [DecidableRel G.Adj] : Fintype G.Dart := Fintype.ofEquiv (Σ v, G.neighborSet v) { toFun := fun s => ⟨(s.fst, s.snd), s.snd.property⟩ invFun := fun d => ⟨d.fst, d.snd, d.adj⟩ left_inv := fun s => by ext <;> simp right_inv := fun d => by ext <;> simp } #align simple_graph.dart.fintype SimpleGraph.Dart.fintype def Dart.edge (d : G.Dart) : Sym2 V := Sym2.mk d.toProd #align simple_graph.dart.edge SimpleGraph.Dart.edge @[simp] theorem Dart.edge_mk {p : V × V} (h : G.Adj p.1 p.2) : (Dart.mk p h).edge = Sym2.mk p := rfl #align simple_graph.dart.edge_mk SimpleGraph.Dart.edge_mk @[simp] theorem Dart.edge_mem (d : G.Dart) : d.edge ∈ G.edgeSet := d.adj #align simple_graph.dart.edge_mem SimpleGraph.Dart.edge_mem @[simps] def Dart.symm (d : G.Dart) : G.Dart := ⟨d.toProd.swap, G.symm d.adj⟩ #align simple_graph.dart.symm SimpleGraph.Dart.symm @[simp] theorem Dart.symm_mk {p : V × V} (h : G.Adj p.1 p.2) : (Dart.mk p h).symm = Dart.mk p.swap h.symm := rfl #align simple_graph.dart.symm_mk SimpleGraph.Dart.symm_mk @[simp] theorem Dart.edge_symm (d : G.Dart) : d.symm.edge = d.edge := Sym2.mk_prod_swap_eq #align simple_graph.dart.edge_symm SimpleGraph.Dart.edge_symm @[simp] theorem Dart.edge_comp_symm : Dart.edge ∘ Dart.symm = (Dart.edge : G.Dart → Sym2 V) := funext Dart.edge_symm #align simple_graph.dart.edge_comp_symm SimpleGraph.Dart.edge_comp_symm @[simp] theorem Dart.symm_symm (d : G.Dart) : d.symm.symm = d := Dart.ext _ _ <| Prod.swap_swap _ #align simple_graph.dart.symm_symm SimpleGraph.Dart.symm_symm @[simp] theorem Dart.symm_involutive : Function.Involutive (Dart.symm : G.Dart → G.Dart) := Dart.symm_symm #align simple_graph.dart.symm_involutive SimpleGraph.Dart.symm_involutive theorem Dart.symm_ne (d : G.Dart) : d.symm ≠ d := ne_of_apply_ne (Prod.snd ∘ Dart.toProd) d.adj.ne #align simple_graph.dart.symm_ne SimpleGraph.Dart.symm_ne theorem dart_edge_eq_iff : ∀ d₁ d₂ : G.Dart, d₁.edge = d₂.edge ↔ d₁ = d₂ ∨ d₁ = d₂.symm := by rintro ⟨p, hp⟩ ⟨q, hq⟩ simp #align simple_graph.dart_edge_eq_iff SimpleGraph.dart_edge_eq_iff theorem dart_edge_eq_mk'_iff : ∀ {d : G.Dart} {p : V × V}, d.edge = Sym2.mk p ↔ d.toProd = p ∨ d.toProd = p.swap := by rintro ⟨p, h⟩ apply Sym2.mk_eq_mk_iff #align simple_graph.dart_edge_eq_mk_iff SimpleGraph.dart_edge_eq_mk'_iff
Mathlib/Combinatorics/SimpleGraph/Dart.lean
118
123
theorem dart_edge_eq_mk'_iff' : ∀ {d : G.Dart} {u v : V}, d.edge = s(u, v) ↔ d.fst = u ∧ d.snd = v ∨ d.fst = v ∧ d.snd = u := by
rintro ⟨⟨a, b⟩, h⟩ u v rw [dart_edge_eq_mk'_iff] simp
import Mathlib.ModelTheory.Satisfiability #align_import model_theory.types from "leanprover-community/mathlib"@"98bd247d933fb581ff37244a5998bd33d81dd46d" set_option linter.uppercaseLean3 false universe u v w w' open Cardinal Set open scoped Classical open Cardinal FirstOrder namespace FirstOrder namespace Language namespace Theory variable {L : Language.{u, v}} (T : L.Theory) (α : Type w) structure CompleteType where toTheory : L[[α]].Theory subset' : (L.lhomWithConstants α).onTheory T ⊆ toTheory isMaximal' : toTheory.IsMaximal #align first_order.language.Theory.complete_type FirstOrder.Language.Theory.CompleteType #align first_order.language.Theory.complete_type.to_Theory FirstOrder.Language.Theory.CompleteType.toTheory #align first_order.language.Theory.complete_type.subset' FirstOrder.Language.Theory.CompleteType.subset' #align first_order.language.Theory.complete_type.is_maximal' FirstOrder.Language.Theory.CompleteType.isMaximal' variable {T α} namespace CompleteType attribute [coe] CompleteType.toTheory instance Sentence.instSetLike : SetLike (T.CompleteType α) (L[[α]].Sentence) := ⟨fun p => p.toTheory, fun p q h => by cases p cases q congr ⟩ #align first_order.language.Theory.complete_type.sentence.set_like FirstOrder.Language.Theory.CompleteType.Sentence.instSetLike theorem isMaximal (p : T.CompleteType α) : IsMaximal (p : L[[α]].Theory) := p.isMaximal' #align first_order.language.Theory.complete_type.is_maximal FirstOrder.Language.Theory.CompleteType.isMaximal theorem subset (p : T.CompleteType α) : (L.lhomWithConstants α).onTheory T ⊆ (p : L[[α]].Theory) := p.subset' #align first_order.language.Theory.complete_type.subset FirstOrder.Language.Theory.CompleteType.subset theorem mem_or_not_mem (p : T.CompleteType α) (φ : L[[α]].Sentence) : φ ∈ p ∨ φ.not ∈ p := p.isMaximal.mem_or_not_mem φ #align first_order.language.Theory.complete_type.mem_or_not_mem FirstOrder.Language.Theory.CompleteType.mem_or_not_mem theorem mem_of_models (p : T.CompleteType α) {φ : L[[α]].Sentence} (h : (L.lhomWithConstants α).onTheory T ⊨ᵇ φ) : φ ∈ p := (p.mem_or_not_mem φ).resolve_right fun con => ((models_iff_not_satisfiable _).1 h) (p.isMaximal.1.mono (union_subset p.subset (singleton_subset_iff.2 con))) #align first_order.language.Theory.complete_type.mem_of_models FirstOrder.Language.Theory.CompleteType.mem_of_models theorem not_mem_iff (p : T.CompleteType α) (φ : L[[α]].Sentence) : φ.not ∈ p ↔ ¬φ ∈ p := ⟨fun hf ht => by have h : ¬IsSatisfiable ({φ, φ.not} : L[[α]].Theory) := by rintro ⟨@⟨_, _, h, _⟩⟩ simp only [model_iff, mem_insert_iff, mem_singleton_iff, forall_eq_or_imp, forall_eq] at h exact h.2 h.1 refine h (p.isMaximal.1.mono ?_) rw [insert_subset_iff, singleton_subset_iff] exact ⟨ht, hf⟩, (p.mem_or_not_mem φ).resolve_left⟩ #align first_order.language.Theory.complete_type.not_mem_iff FirstOrder.Language.Theory.CompleteType.not_mem_iff @[simp] theorem compl_setOf_mem {φ : L[[α]].Sentence} : { p : T.CompleteType α | φ ∈ p }ᶜ = { p : T.CompleteType α | φ.not ∈ p } := ext fun _ => (not_mem_iff _ _).symm #align first_order.language.Theory.complete_type.compl_set_of_mem FirstOrder.Language.Theory.CompleteType.compl_setOf_mem theorem setOf_subset_eq_empty_iff (S : L[[α]].Theory) : { p : T.CompleteType α | S ⊆ ↑p } = ∅ ↔ ¬((L.lhomWithConstants α).onTheory T ∪ S).IsSatisfiable := by rw [iff_not_comm, ← not_nonempty_iff_eq_empty, Classical.not_not, Set.Nonempty] refine ⟨fun h => ⟨⟨L[[α]].completeTheory h.some, (subset_union_left (t := S)).trans completeTheory.subset, completeTheory.isMaximal (L[[α]]) h.some⟩, (((L.lhomWithConstants α).onTheory T).subset_union_right).trans completeTheory.subset⟩, ?_⟩ rintro ⟨p, hp⟩ exact p.isMaximal.1.mono (union_subset p.subset hp) #align first_order.language.Theory.complete_type.set_of_subset_eq_empty_iff FirstOrder.Language.Theory.CompleteType.setOf_subset_eq_empty_iff theorem setOf_mem_eq_univ_iff (φ : L[[α]].Sentence) : { p : T.CompleteType α | φ ∈ p } = Set.univ ↔ (L.lhomWithConstants α).onTheory T ⊨ᵇ φ := by rw [models_iff_not_satisfiable, ← compl_empty_iff, compl_setOf_mem, ← setOf_subset_eq_empty_iff] simp #align first_order.language.Theory.complete_type.set_of_mem_eq_univ_iff FirstOrder.Language.Theory.CompleteType.setOf_mem_eq_univ_iff
Mathlib/ModelTheory/Types.lean
135
144
theorem setOf_subset_eq_univ_iff (S : L[[α]].Theory) : { p : T.CompleteType α | S ⊆ ↑p } = Set.univ ↔ ∀ φ, φ ∈ S → (L.lhomWithConstants α).onTheory T ⊨ᵇ φ := by
have h : { p : T.CompleteType α | S ⊆ ↑p } = ⋂₀ ((fun φ => { p | φ ∈ p }) '' S) := by ext simp [subset_def] simp_rw [h, sInter_eq_univ, ← setOf_mem_eq_univ_iff] refine ⟨fun h φ φS => h _ ⟨_, φS, rfl⟩, ?_⟩ rintro h _ ⟨φ, h1, rfl⟩ exact h _ h1
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Commute.Defs import Mathlib.Logic.Unique import Mathlib.Tactic.Nontriviality import Mathlib.Tactic.Lift #align_import algebra.group.units from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" assert_not_exists Multiplicative assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered open Function universe u variable {α : Type u} structure Units (α : Type u) [Monoid α] where val : α inv : α val_inv : val * inv = 1 inv_val : inv * val = 1 #align units Units #align units.val Units.val #align units.inv Units.inv #align units.val_inv Units.val_inv #align units.inv_val Units.inv_val attribute [coe] Units.val @[inherit_doc] postfix:1024 "ˣ" => Units -- We don't provide notation for the additive version, because its use is somewhat rare. structure AddUnits (α : Type u) [AddMonoid α] where val : α neg : α val_neg : val + neg = 0 neg_val : neg + val = 0 #align add_units AddUnits #align add_units.val AddUnits.val #align add_units.neg AddUnits.neg #align add_units.val_neg AddUnits.val_neg #align add_units.neg_val AddUnits.neg_val attribute [to_additive] Units attribute [coe] AddUnits.val namespace Units section Monoid variable [Monoid α] -- Porting note: unclear whether this should be a `CoeHead` or `CoeTail` @[to_additive "An additive unit can be interpreted as a term in the base `AddMonoid`."] instance : CoeHead αˣ α := ⟨val⟩ @[to_additive "The additive inverse of an additive unit in an `AddMonoid`."] instance instInv : Inv αˣ := ⟨fun u => ⟨u.2, u.1, u.4, u.3⟩⟩ attribute [instance] AddUnits.instNeg #noalign units.simps.coe #noalign add_units.simps.coe @[to_additive "See Note [custom simps projection]"] def Simps.val_inv (u : αˣ) : α := ↑(u⁻¹) #align units.simps.coe_inv Units.Simps.val_inv #align add_units.simps.coe_neg AddUnits.Simps.val_neg initialize_simps_projections Units (as_prefix val, val_inv → null, inv → val_inv, as_prefix val_inv) initialize_simps_projections AddUnits (as_prefix val, val_neg → null, neg → val_neg, as_prefix val_neg) -- Porting note: removed `simp` tag because of the tautology @[to_additive] theorem val_mk (a : α) (b h₁ h₂) : ↑(Units.mk a b h₁ h₂) = a := rfl #align units.coe_mk Units.val_mk #align add_units.coe_mk AddUnits.val_mk @[to_additive (attr := ext)] theorem ext : Function.Injective (val : αˣ → α) | ⟨v, i₁, vi₁, iv₁⟩, ⟨v', i₂, vi₂, iv₂⟩, e => by simp only at e; subst v'; congr; simpa only [iv₂, vi₁, one_mul, mul_one] using mul_assoc i₂ v i₁ #align units.ext Units.ext #align add_units.ext AddUnits.ext @[to_additive (attr := norm_cast)] theorem eq_iff {a b : αˣ} : (a : α) = b ↔ a = b := ext.eq_iff #align units.eq_iff Units.eq_iff #align add_units.eq_iff AddUnits.eq_iff @[to_additive] theorem ext_iff {a b : αˣ} : a = b ↔ (a : α) = b := eq_iff.symm #align units.ext_iff Units.ext_iff #align add_units.ext_iff AddUnits.ext_iff @[to_additive "Additive units have decidable equality if the base `AddMonoid` has deciable equality."] instance [DecidableEq α] : DecidableEq αˣ := fun _ _ => decidable_of_iff' _ ext_iff @[to_additive (attr := simp)] theorem mk_val (u : αˣ) (y h₁ h₂) : mk (u : α) y h₁ h₂ = u := ext rfl #align units.mk_coe Units.mk_val #align add_units.mk_coe AddUnits.mk_val @[to_additive (attr := simps) "Copy an `AddUnit`, adjusting definitional equalities."] def copy (u : αˣ) (val : α) (hv : val = u) (inv : α) (hi : inv = ↑u⁻¹) : αˣ := { val, inv, inv_val := hv.symm ▸ hi.symm ▸ u.inv_val, val_inv := hv.symm ▸ hi.symm ▸ u.val_inv } #align units.copy Units.copy #align add_units.copy AddUnits.copy #align units.coe_copy Units.val_copy #align add_units.coe_copy AddUnits.val_copy #align units.coe_inv_copy Units.val_inv_copy #align add_units.coe_neg_copy AddUnits.val_neg_copy @[to_additive] theorem copy_eq (u : αˣ) (val hv inv hi) : u.copy val hv inv hi = u := ext hv #align units.copy_eq Units.copy_eq #align add_units.copy_eq AddUnits.copy_eq @[to_additive "Additive units of an additive monoid have an induced addition."] instance : Mul αˣ where mul u₁ u₂ := ⟨u₁.val * u₂.val, u₂.inv * u₁.inv, by rw [mul_assoc, ← mul_assoc u₂.val, val_inv, one_mul, val_inv], by rw [mul_assoc, ← mul_assoc u₁.inv, inv_val, one_mul, inv_val]⟩ @[to_additive "Additive units of an additive monoid have a zero."] instance : One αˣ where one := ⟨1, 1, one_mul 1, one_mul 1⟩ @[to_additive "Additive units of an additive monoid have an addition and an additive identity."] instance instMulOneClass : MulOneClass αˣ where one_mul u := ext <| one_mul (u : α) mul_one u := ext <| mul_one (u : α) @[to_additive "Additive units of an additive monoid are inhabited because `0` is an additive unit."] instance : Inhabited αˣ := ⟨1⟩ @[to_additive "Additive units of an additive monoid have a representation of the base value in the `AddMonoid`."] instance [Repr α] : Repr αˣ := ⟨reprPrec ∘ val⟩ variable (a b c : αˣ) {u : αˣ} @[to_additive (attr := simp, norm_cast)] theorem val_mul : (↑(a * b) : α) = a * b := rfl #align units.coe_mul Units.val_mul #align add_units.coe_add AddUnits.val_add @[to_additive (attr := simp, norm_cast)] theorem val_one : ((1 : αˣ) : α) = 1 := rfl #align units.coe_one Units.val_one #align add_units.coe_zero AddUnits.val_zero @[to_additive (attr := simp, norm_cast)] theorem val_eq_one {a : αˣ} : (a : α) = 1 ↔ a = 1 := by rw [← Units.val_one, eq_iff] #align units.coe_eq_one Units.val_eq_one #align add_units.coe_eq_zero AddUnits.val_eq_zero @[to_additive (attr := simp)] theorem inv_mk (x y : α) (h₁ h₂) : (mk x y h₁ h₂)⁻¹ = mk y x h₂ h₁ := rfl #align units.inv_mk Units.inv_mk #align add_units.neg_mk AddUnits.neg_mk -- Porting note: coercions are now eagerly elaborated, so no need for `val_eq_coe` #noalign units.val_eq_coe #noalign add_units.val_eq_coe @[to_additive (attr := simp)] theorem inv_eq_val_inv : a.inv = ((a⁻¹ : αˣ) : α) := rfl #align units.inv_eq_coe_inv Units.inv_eq_val_inv #align add_units.neg_eq_coe_neg AddUnits.neg_eq_val_neg @[to_additive (attr := simp)] theorem inv_mul : (↑a⁻¹ * a : α) = 1 := inv_val _ #align units.inv_mul Units.inv_mul #align add_units.neg_add AddUnits.neg_add @[to_additive (attr := simp)] theorem mul_inv : (a * ↑a⁻¹ : α) = 1 := val_inv _ #align units.mul_inv Units.mul_inv #align add_units.add_neg AddUnits.add_neg @[to_additive] lemma commute_coe_inv : Commute (a : α) ↑a⁻¹ := by rw [Commute, SemiconjBy, inv_mul, mul_inv] @[to_additive] lemma commute_inv_coe : Commute ↑a⁻¹ (a : α) := a.commute_coe_inv.symm @[to_additive] theorem inv_mul_of_eq {a : α} (h : ↑u = a) : ↑u⁻¹ * a = 1 := by rw [← h, u.inv_mul] #align units.inv_mul_of_eq Units.inv_mul_of_eq #align add_units.neg_add_of_eq AddUnits.neg_add_of_eq @[to_additive] theorem mul_inv_of_eq {a : α} (h : ↑u = a) : a * ↑u⁻¹ = 1 := by rw [← h, u.mul_inv] #align units.mul_inv_of_eq Units.mul_inv_of_eq #align add_units.add_neg_of_eq AddUnits.add_neg_of_eq @[to_additive (attr := simp)] theorem mul_inv_cancel_left (a : αˣ) (b : α) : (a : α) * (↑a⁻¹ * b) = b := by rw [← mul_assoc, mul_inv, one_mul] #align units.mul_inv_cancel_left Units.mul_inv_cancel_left #align add_units.add_neg_cancel_left AddUnits.add_neg_cancel_left @[to_additive (attr := simp)] theorem inv_mul_cancel_left (a : αˣ) (b : α) : (↑a⁻¹ : α) * (a * b) = b := by rw [← mul_assoc, inv_mul, one_mul] #align units.inv_mul_cancel_left Units.inv_mul_cancel_left #align add_units.neg_add_cancel_left AddUnits.neg_add_cancel_left @[to_additive (attr := simp)]
Mathlib/Algebra/Group/Units.lean
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theorem mul_inv_cancel_right (a : α) (b : αˣ) : a * b * ↑b⁻¹ = a := by
rw [mul_assoc, mul_inv, mul_one]