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import Mathlib.Algebra.ContinuedFractions.ContinuantsRecurrence import Mathlib.Algebra.ContinuedFractions.TerminatedStable import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Ring #align_import algebra.continued_fractions.convergents_equiv from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" variable {K : Type*} {n : ℕ} namespace GeneralizedContinuedFraction variable {g : GeneralizedContinuedFraction K} {s : Stream'.Seq <| Pair K} section Squash section WithDivisionRing variable [DivisionRing K] def squashSeq (s : Stream'.Seq <| Pair K) (n : ℕ) : Stream'.Seq (Pair K) := match Prod.mk (s.get? n) (s.get? (n + 1)) with | ⟨some gp_n, some gp_succ_n⟩ => Stream'.Seq.nats.zipWith -- return the squashed value at position `n`; otherwise, do nothing. (fun n' gp => if n' = n then ⟨gp_n.a, gp_n.b + gp_succ_n.a / gp_succ_n.b⟩ else gp) s | _ => s #align generalized_continued_fraction.squash_seq GeneralizedContinuedFraction.squashSeq theorem squashSeq_eq_self_of_terminated (terminated_at_succ_n : s.TerminatedAt (n + 1)) : squashSeq s n = s := by change s.get? (n + 1) = none at terminated_at_succ_n cases s_nth_eq : s.get? n <;> simp only [*, squashSeq] #align generalized_continued_fraction.squash_seq_eq_self_of_terminated GeneralizedContinuedFraction.squashSeq_eq_self_of_terminated theorem squashSeq_nth_of_not_terminated {gp_n gp_succ_n : Pair K} (s_nth_eq : s.get? n = some gp_n) (s_succ_nth_eq : s.get? (n + 1) = some gp_succ_n) : (squashSeq s n).get? n = some ⟨gp_n.a, gp_n.b + gp_succ_n.a / gp_succ_n.b⟩ := by simp [*, squashSeq] #align generalized_continued_fraction.squash_seq_nth_of_not_terminated GeneralizedContinuedFraction.squashSeq_nth_of_not_terminated
Mathlib/Algebra/ContinuedFractions/ConvergentsEquiv.lean
121
129
theorem squashSeq_nth_of_lt {m : ℕ} (m_lt_n : m < n) : (squashSeq s n).get? m = s.get? m := by
cases s_succ_nth_eq : s.get? (n + 1) with | none => rw [squashSeq_eq_self_of_terminated s_succ_nth_eq] | some => obtain ⟨gp_n, s_nth_eq⟩ : ∃ gp_n, s.get? n = some gp_n := s.ge_stable n.le_succ s_succ_nth_eq obtain ⟨gp_m, s_mth_eq⟩ : ∃ gp_m, s.get? m = some gp_m := s.ge_stable (le_of_lt m_lt_n) s_nth_eq simp [*, squashSeq, m_lt_n.ne]
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 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) #align is_primitive_root.separable_minpoly_mod IsPrimitiveRoot.separable_minpoly_mod theorem squarefree_minpoly_mod {p : ℕ} [Fact p.Prime] (hdiv : ¬p ∣ n) : Squarefree (map (Int.castRingHom (ZMod p)) (minpoly ℤ μ)) := (separable_minpoly_mod h hdiv).squarefree #align is_primitive_root.squarefree_minpoly_mod IsPrimitiveRoot.squarefree_minpoly_mod theorem minpoly_dvd_expand {p : ℕ} (hdiv : ¬p ∣ n) : minpoly ℤ μ ∣ expand ℤ p (minpoly ℤ (μ ^ p)) := by rcases n.eq_zero_or_pos with (rfl | hpos) · simp_all letI : IsIntegrallyClosed ℤ := GCDMonoid.toIsIntegrallyClosed refine minpoly.isIntegrallyClosed_dvd (h.isIntegral hpos) ?_ rw [aeval_def, coe_expand, ← comp, eval₂_eq_eval_map, map_comp, Polynomial.map_pow, map_X, eval_comp, eval_pow, eval_X, ← eval₂_eq_eval_map, ← aeval_def] exact minpoly.aeval _ _ #align is_primitive_root.minpoly_dvd_expand IsPrimitiveRoot.minpoly_dvd_expand theorem minpoly_dvd_pow_mod {p : ℕ} [hprime : Fact p.Prime] (hdiv : ¬p ∣ n) : map (Int.castRingHom (ZMod p)) (minpoly ℤ μ) ∣ map (Int.castRingHom (ZMod p)) (minpoly ℤ (μ ^ p)) ^ p := by set Q := minpoly ℤ (μ ^ p) have hfrob : map (Int.castRingHom (ZMod p)) Q ^ p = map (Int.castRingHom (ZMod p)) (expand ℤ p Q) := by rw [← ZMod.expand_card, map_expand] rw [hfrob] apply RingHom.map_dvd (mapRingHom (Int.castRingHom (ZMod p))) exact minpoly_dvd_expand h hdiv #align is_primitive_root.minpoly_dvd_pow_mod IsPrimitiveRoot.minpoly_dvd_pow_mod theorem minpoly_dvd_mod_p {p : ℕ} [Fact p.Prime] (hdiv : ¬p ∣ n) : map (Int.castRingHom (ZMod p)) (minpoly ℤ μ) ∣ map (Int.castRingHom (ZMod p)) (minpoly ℤ (μ ^ p)) := (squarefree_minpoly_mod h hdiv).isRadical _ _ (minpoly_dvd_pow_mod h hdiv) #align is_primitive_root.minpoly_dvd_mod_p IsPrimitiveRoot.minpoly_dvd_mod_p
Mathlib/RingTheory/RootsOfUnity/Minpoly.lean
118
169
theorem minpoly_eq_pow {p : ℕ} [hprime : Fact p.Prime] (hdiv : ¬p ∣ n) : minpoly ℤ μ = minpoly ℤ (μ ^ p) := by
classical by_cases hn : n = 0 · simp_all have hpos := Nat.pos_of_ne_zero hn by_contra hdiff set P := minpoly ℤ μ set Q := minpoly ℤ (μ ^ p) have Pmonic : P.Monic := minpoly.monic (h.isIntegral hpos) have Qmonic : Q.Monic := minpoly.monic ((h.pow_of_prime hprime.1 hdiv).isIntegral hpos) have Pirr : Irreducible P := minpoly.irreducible (h.isIntegral hpos) have Qirr : Irreducible Q := minpoly.irreducible ((h.pow_of_prime hprime.1 hdiv).isIntegral hpos) have PQprim : IsPrimitive (P * Q) := Pmonic.isPrimitive.mul Qmonic.isPrimitive have prod : P * Q ∣ X ^ n - 1 := by rw [IsPrimitive.Int.dvd_iff_map_cast_dvd_map_cast (P * Q) (X ^ n - 1) PQprim (monic_X_pow_sub_C (1 : ℤ) (ne_of_gt hpos)).isPrimitive, Polynomial.map_mul] refine IsCoprime.mul_dvd ?_ ?_ ?_ · have aux := IsPrimitive.Int.irreducible_iff_irreducible_map_cast Pmonic.isPrimitive refine (dvd_or_coprime _ _ (aux.1 Pirr)).resolve_left ?_ rw [map_dvd_map (Int.castRingHom ℚ) Int.cast_injective Pmonic] intro hdiv refine hdiff (eq_of_monic_of_associated Pmonic Qmonic ?_) exact associated_of_dvd_dvd hdiv (Pirr.dvd_symm Qirr hdiv) · apply (map_dvd_map (Int.castRingHom ℚ) Int.cast_injective Pmonic).2 exact minpoly_dvd_x_pow_sub_one h · apply (map_dvd_map (Int.castRingHom ℚ) Int.cast_injective Qmonic).2 exact minpoly_dvd_x_pow_sub_one (pow_of_prime h hprime.1 hdiv) replace prod := RingHom.map_dvd (mapRingHom (Int.castRingHom (ZMod p))) prod rw [coe_mapRingHom, Polynomial.map_mul, Polynomial.map_sub, Polynomial.map_one, Polynomial.map_pow, map_X] at prod obtain ⟨R, hR⟩ := minpoly_dvd_mod_p h hdiv rw [hR, ← mul_assoc, ← Polynomial.map_mul, ← sq, Polynomial.map_pow] at prod have habs : map (Int.castRingHom (ZMod p)) P ^ 2 ∣ map (Int.castRingHom (ZMod p)) P ^ 2 * R := by use R replace habs := lt_of_lt_of_le (PartENat.coe_lt_coe.2 one_lt_two) (multiplicity.le_multiplicity_of_pow_dvd (dvd_trans habs prod)) have hfree : Squarefree (X ^ n - 1 : (ZMod p)[X]) := (separable_X_pow_sub_C 1 (fun h => hdiv <| (ZMod.natCast_zmod_eq_zero_iff_dvd n p).1 h) one_ne_zero).squarefree cases' (multiplicity.squarefree_iff_multiplicity_le_one (X ^ n - 1)).1 hfree (map (Int.castRingHom (ZMod p)) P) with hle hunit · rw [Nat.cast_one] at habs; exact hle.not_lt habs · replace hunit := degree_eq_zero_of_isUnit hunit rw [degree_map_eq_of_leadingCoeff_ne_zero (Int.castRingHom (ZMod p)) _] at hunit · exact (minpoly.degree_pos (isIntegral h hpos)).ne' hunit simp only [Pmonic, eq_intCast, Monic.leadingCoeff, Int.cast_one, Ne, not_false_iff, one_ne_zero]
import Mathlib.Order.Filter.Cofinite import Mathlib.Order.Filter.CountableInter import Mathlib.Order.Filter.CardinalInter import Mathlib.SetTheory.Cardinal.Ordinal import Mathlib.SetTheory.Cardinal.Cofinality import Mathlib.Order.Filter.Bases open Set Filter Cardinal universe u variable {ι : Type u} {α β : Type u} variable {c : Cardinal.{u}} {hreg : c.IsRegular} variable {l : Filter α} namespace Filter variable (α) in def cocardinal (hreg : c.IsRegular) : Filter α := by apply ofCardinalUnion {s | Cardinal.mk s < c} (lt_of_lt_of_le (nat_lt_aleph0 2) hreg.aleph0_le) · refine fun s hS hSc ↦ lt_of_le_of_lt (mk_sUnion_le _) <| mul_lt_of_lt hreg.aleph0_le hS ?_ exact iSup_lt_of_isRegular hreg hS fun i ↦ hSc i i.property · exact fun _ hSc _ ht ↦ lt_of_le_of_lt (mk_le_mk_of_subset ht) hSc @[simp] theorem mem_cocardinal {s : Set α} : s ∈ cocardinal α hreg ↔ Cardinal.mk (sᶜ : Set α) < c := Iff.rfl @[simp] lemma cocardinal_aleph0_eq_cofinite : cocardinal (α := α) isRegular_aleph0 = cofinite := by aesop instance instCardinalInterFilter_cocardinal : CardinalInterFilter (cocardinal (α := α) hreg) c where cardinal_sInter_mem S hS hSs := by rw [mem_cocardinal, Set.compl_sInter] apply lt_of_le_of_lt (mk_sUnion_le _) apply mul_lt_of_lt hreg.aleph0_le (lt_of_le_of_lt mk_image_le hS) apply iSup_lt_of_isRegular hreg <| lt_of_le_of_lt mk_image_le hS intro i aesop @[simp] theorem eventually_cocardinal {p : α → Prop} : (∀ᶠ x in cocardinal α hreg, p x) ↔ #{ x | ¬p x } < c := Iff.rfl
Mathlib/Order/Filter/Cocardinal.lean
61
68
theorem hasBasis_cocardinal : HasBasis (cocardinal α hreg) {s : Set α | #s < c} compl := ⟨fun s => ⟨fun h => ⟨sᶜ, h, (compl_compl s).subset⟩, fun ⟨_t, htf, hts⟩ => by have : #↑sᶜ < c := by
apply lt_of_le_of_lt _ htf rw [compl_subset_comm] at hts apply Cardinal.mk_le_mk_of_subset hts simp_all only [mem_cocardinal] ⟩⟩
import Mathlib.FieldTheory.PurelyInseparable import Mathlib.FieldTheory.PerfectClosure open scoped Classical Polynomial open FiniteDimensional Polynomial IntermediateField Field noncomputable section def pNilradical (R : Type*) [CommSemiring R] (p : ℕ) : Ideal R := if 1 < p then nilradical R else ⊥ theorem pNilradical_le_nilradical {R : Type*} [CommSemiring R] {p : ℕ} : pNilradical R p ≤ nilradical R := by by_cases hp : 1 < p · rw [pNilradical, if_pos hp] simp_rw [pNilradical, if_neg hp, bot_le] theorem pNilradical_eq_nilradical {R : Type*} [CommSemiring R] {p : ℕ} (hp : 1 < p) : pNilradical R p = nilradical R := by rw [pNilradical, if_pos hp] theorem pNilradical_eq_bot {R : Type*} [CommSemiring R] {p : ℕ} (hp : ¬ 1 < p) : pNilradical R p = ⊥ := by rw [pNilradical, if_neg hp] theorem pNilradical_eq_bot' {R : Type*} [CommSemiring R] {p : ℕ} (hp : p ≤ 1) : pNilradical R p = ⊥ := pNilradical_eq_bot (not_lt.2 hp) theorem pNilradical_prime {R : Type*} [CommSemiring R] {p : ℕ} (hp : p.Prime) : pNilradical R p = nilradical R := pNilradical_eq_nilradical hp.one_lt theorem pNilradical_one {R : Type*} [CommSemiring R] : pNilradical R 1 = ⊥ := pNilradical_eq_bot' rfl.le theorem mem_pNilradical {R : Type*} [CommSemiring R] {p : ℕ} {x : R} : x ∈ pNilradical R p ↔ ∃ n : ℕ, x ^ p ^ n = 0 := by by_cases hp : 1 < p · rw [pNilradical_eq_nilradical hp] refine ⟨fun ⟨n, h⟩ ↦ ⟨n, ?_⟩, fun ⟨n, h⟩ ↦ ⟨p ^ n, h⟩⟩ rw [← Nat.sub_add_cancel ((Nat.lt_pow_self hp n).le), pow_add, h, mul_zero] rw [pNilradical_eq_bot hp, Ideal.mem_bot] refine ⟨fun h ↦ ⟨0, by rw [pow_zero, pow_one, h]⟩, fun ⟨n, h⟩ ↦ ?_⟩ rcases Nat.le_one_iff_eq_zero_or_eq_one.1 (not_lt.1 hp) with hp | hp · by_cases hn : n = 0 · rwa [hn, pow_zero, pow_one] at h rw [hp, zero_pow hn, pow_zero] at h haveI := subsingleton_of_zero_eq_one h.symm exact Subsingleton.elim _ _ rwa [hp, one_pow, pow_one] at h
Mathlib/FieldTheory/IsPerfectClosure.lean
112
114
theorem sub_mem_pNilradical_iff_pow_expChar_pow_eq {R : Type*} [CommRing R] {p : ℕ} [ExpChar R p] {x y : R} : x - y ∈ pNilradical R p ↔ ∃ n : ℕ, x ^ p ^ n = y ^ p ^ n := by
simp_rw [mem_pNilradical, sub_pow_expChar_pow, sub_eq_zero]
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Exponent #align_import group_theory.specific_groups.dihedral from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" inductive DihedralGroup (n : ℕ) : Type | r : ZMod n → DihedralGroup n | sr : ZMod n → DihedralGroup n deriving DecidableEq #align dihedral_group DihedralGroup namespace DihedralGroup variable {n : ℕ} private def mul : DihedralGroup n → DihedralGroup n → DihedralGroup n | r i, r j => r (i + j) | r i, sr j => sr (j - i) | sr i, r j => sr (i + j) | sr i, sr j => r (j - i) private def one : DihedralGroup n := r 0 instance : Inhabited (DihedralGroup n) := ⟨one⟩ private def inv : DihedralGroup n → DihedralGroup n | r i => r (-i) | sr i => sr i instance : Group (DihedralGroup n) where mul := mul mul_assoc := by rintro (a | a) (b | b) (c | c) <;> simp only [(· * ·), mul] <;> ring_nf one := one one_mul := by rintro (a | a) · exact congr_arg r (zero_add a) · exact congr_arg sr (sub_zero a) mul_one := by rintro (a | a) · exact congr_arg r (add_zero a) · exact congr_arg sr (add_zero a) inv := inv mul_left_inv := by rintro (a | a) · exact congr_arg r (neg_add_self a) · exact congr_arg r (sub_self a) @[simp] theorem r_mul_r (i j : ZMod n) : r i * r j = r (i + j) := rfl #align dihedral_group.r_mul_r DihedralGroup.r_mul_r @[simp] theorem r_mul_sr (i j : ZMod n) : r i * sr j = sr (j - i) := rfl #align dihedral_group.r_mul_sr DihedralGroup.r_mul_sr @[simp] theorem sr_mul_r (i j : ZMod n) : sr i * r j = sr (i + j) := rfl #align dihedral_group.sr_mul_r DihedralGroup.sr_mul_r @[simp] theorem sr_mul_sr (i j : ZMod n) : sr i * sr j = r (j - i) := rfl #align dihedral_group.sr_mul_sr DihedralGroup.sr_mul_sr theorem one_def : (1 : DihedralGroup n) = r 0 := rfl #align dihedral_group.one_def DihedralGroup.one_def private def fintypeHelper : Sum (ZMod n) (ZMod n) ≃ DihedralGroup n where invFun i := match i with | r j => Sum.inl j | sr j => Sum.inr j toFun i := match i with | Sum.inl j => r j | Sum.inr j => sr j left_inv := by rintro (x | x) <;> rfl right_inv := by rintro (x | x) <;> rfl instance [NeZero n] : Fintype (DihedralGroup n) := Fintype.ofEquiv _ fintypeHelper instance : Infinite (DihedralGroup 0) := DihedralGroup.fintypeHelper.infinite_iff.mp inferInstance instance : Nontrivial (DihedralGroup n) := ⟨⟨r 0, sr 0, by simp_rw [ne_eq, not_false_eq_true]⟩⟩
Mathlib/GroupTheory/SpecificGroups/Dihedral.lean
125
126
theorem card [NeZero n] : Fintype.card (DihedralGroup n) = 2 * n := by
rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul]
import Mathlib.Algebra.Module.Zlattice.Basic import Mathlib.NumberTheory.NumberField.Embeddings import Mathlib.NumberTheory.NumberField.FractionalIdeal #align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30" variable (K : Type*) [Field K] namespace NumberField.mixedEmbedding open NumberField NumberField.InfinitePlace FiniteDimensional Finset local notation "E" K => ({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ) noncomputable def _root_.NumberField.mixedEmbedding : K →+* (E K) := RingHom.prod (Pi.ringHom fun w => embedding_of_isReal w.prop) (Pi.ringHom fun w => w.val.embedding) instance [NumberField K] : Nontrivial (E K) := by obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K)) obtain hw | hw := w.isReal_or_isComplex · have : Nonempty {w : InfinitePlace K // IsReal w} := ⟨⟨w, hw⟩⟩ exact nontrivial_prod_left · have : Nonempty {w : InfinitePlace K // IsComplex w} := ⟨⟨w, hw⟩⟩ exact nontrivial_prod_right protected theorem finrank [NumberField K] : finrank ℝ (E K) = finrank ℚ K := by classical rw [finrank_prod, finrank_pi, finrank_pi_fintype, Complex.finrank_real_complex, sum_const, card_univ, ← NrRealPlaces, ← NrComplexPlaces, ← card_real_embeddings, Algebra.id.smul_eq_mul, mul_comm, ← card_complex_embeddings, ← NumberField.Embeddings.card K ℂ, Fintype.card_subtype_compl, Nat.add_sub_of_le (Fintype.card_subtype_le _)] theorem _root_.NumberField.mixedEmbedding_injective [NumberField K] : Function.Injective (NumberField.mixedEmbedding K) := by exact RingHom.injective _ noncomputable section norm open scoped Classical variable {K} def normAtPlace (w : InfinitePlace K) : (E K) →*₀ ℝ where toFun x := if hw : IsReal w then ‖x.1 ⟨w, hw⟩‖ else ‖x.2 ⟨w, not_isReal_iff_isComplex.mp hw⟩‖ map_zero' := by simp map_one' := by simp map_mul' x y := by split_ifs <;> simp theorem normAtPlace_nonneg (w : InfinitePlace K) (x : E K) : 0 ≤ normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> exact norm_nonneg _ theorem normAtPlace_neg (w : InfinitePlace K) (x : E K) : normAtPlace w (- x) = normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> simp theorem normAtPlace_add_le (w : InfinitePlace K) (x y : E K) : normAtPlace w (x + y) ≤ normAtPlace w x + normAtPlace w y := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> exact norm_add_le _ _ theorem normAtPlace_smul (w : InfinitePlace K) (x : E K) (c : ℝ) : normAtPlace w (c • x) = |c| * normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs · rw [Prod.smul_fst, Pi.smul_apply, norm_smul, Real.norm_eq_abs] · rw [Prod.smul_snd, Pi.smul_apply, norm_smul, Real.norm_eq_abs, Complex.norm_eq_abs] theorem normAtPlace_real (w : InfinitePlace K) (c : ℝ) : normAtPlace w ((fun _ ↦ c, fun _ ↦ c) : (E K)) = |c| := by rw [show ((fun _ ↦ c, fun _ ↦ c) : (E K)) = c • 1 by ext <;> simp, normAtPlace_smul, map_one, mul_one] theorem normAtPlace_apply_isReal {w : InfinitePlace K} (hw : IsReal w) (x : E K): normAtPlace w x = ‖x.1 ⟨w, hw⟩‖ := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, dif_pos] theorem normAtPlace_apply_isComplex {w : InfinitePlace K} (hw : IsComplex w) (x : E K) : normAtPlace w x = ‖x.2 ⟨w, hw⟩‖ := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, dif_neg (not_isReal_iff_isComplex.mpr hw)] @[simp] theorem normAtPlace_apply (w : InfinitePlace K) (x : K) : normAtPlace w (mixedEmbedding K x) = w x := by simp_rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, mixedEmbedding, RingHom.prod_apply, Pi.ringHom_apply, norm_embedding_of_isReal, norm_embedding_eq, dite_eq_ite, ite_id] theorem normAtPlace_eq_zero {x : E K} : (∀ w, normAtPlace w x = 0) ↔ x = 0 := by refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · ext w · exact norm_eq_zero'.mp (normAtPlace_apply_isReal w.prop _ ▸ h w.1) · exact norm_eq_zero'.mp (normAtPlace_apply_isComplex w.prop _ ▸ h w.1) · simp_rw [h, map_zero, implies_true] variable [NumberField K]
Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean
312
323
theorem nnnorm_eq_sup_normAtPlace (x : E K) : ‖x‖₊ = univ.sup fun w ↦ ⟨normAtPlace w x, normAtPlace_nonneg w x⟩ := by
rw [show (univ : Finset (InfinitePlace K)) = (univ.image (fun w : {w : InfinitePlace K // IsReal w} ↦ w.1)) ∪ (univ.image (fun w : {w : InfinitePlace K // IsComplex w} ↦ w.1)) by ext; simp [isReal_or_isComplex], sup_union, univ.sup_image, univ.sup_image, sup_eq_max, Prod.nnnorm_def', Pi.nnnorm_def, Pi.nnnorm_def] congr · ext w simp [normAtPlace_apply_isReal w.prop] · ext w simp [normAtPlace_apply_isComplex w.prop]
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.HasseDeriv #align_import data.polynomial.taylor from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section namespace Polynomial open Polynomial variable {R : Type*} [Semiring R] (r : R) (f : R[X]) def taylor (r : R) : R[X] →ₗ[R] R[X] where toFun f := f.comp (X + C r) map_add' f g := add_comp map_smul' c f := by simp only [smul_eq_C_mul, C_mul_comp, RingHom.id_apply] #align polynomial.taylor Polynomial.taylor theorem taylor_apply : taylor r f = f.comp (X + C r) := rfl #align polynomial.taylor_apply Polynomial.taylor_apply @[simp] theorem taylor_X : taylor r X = X + C r := by simp only [taylor_apply, X_comp] set_option linter.uppercaseLean3 false in #align polynomial.taylor_X Polynomial.taylor_X @[simp] theorem taylor_C (x : R) : taylor r (C x) = C x := by simp only [taylor_apply, C_comp] set_option linter.uppercaseLean3 false in #align polynomial.taylor_C Polynomial.taylor_C @[simp] theorem taylor_zero' : taylor (0 : R) = LinearMap.id := by ext simp only [taylor_apply, add_zero, comp_X, _root_.map_zero, LinearMap.id_comp, Function.comp_apply, LinearMap.coe_comp] #align polynomial.taylor_zero' Polynomial.taylor_zero' theorem taylor_zero (f : R[X]) : taylor 0 f = f := by rw [taylor_zero', LinearMap.id_apply] #align polynomial.taylor_zero Polynomial.taylor_zero @[simp] theorem taylor_one : taylor r (1 : R[X]) = C 1 := by rw [← C_1, taylor_C] #align polynomial.taylor_one Polynomial.taylor_one @[simp] theorem taylor_monomial (i : ℕ) (k : R) : taylor r (monomial i k) = C k * (X + C r) ^ i := by simp [taylor_apply] #align polynomial.taylor_monomial Polynomial.taylor_monomial theorem taylor_coeff (n : ℕ) : (taylor r f).coeff n = (hasseDeriv n f).eval r := show (lcoeff R n).comp (taylor r) f = (leval r).comp (hasseDeriv n) f by congr 1; clear! f; ext i simp only [leval_apply, mul_one, one_mul, eval_monomial, LinearMap.comp_apply, coeff_C_mul, hasseDeriv_monomial, taylor_apply, monomial_comp, C_1, (commute_X (C r)).add_pow i, map_sum] simp only [lcoeff_apply, ← C_eq_natCast, mul_assoc, ← C_pow, ← C_mul, coeff_mul_C, (Nat.cast_commute _ _).eq, coeff_X_pow, boole_mul, Finset.sum_ite_eq, Finset.mem_range] split_ifs with h; · rfl push_neg at h; rw [Nat.choose_eq_zero_of_lt h, Nat.cast_zero, mul_zero] #align polynomial.taylor_coeff Polynomial.taylor_coeff @[simp] theorem taylor_coeff_zero : (taylor r f).coeff 0 = f.eval r := by rw [taylor_coeff, hasseDeriv_zero, LinearMap.id_apply] #align polynomial.taylor_coeff_zero Polynomial.taylor_coeff_zero @[simp] theorem taylor_coeff_one : (taylor r f).coeff 1 = f.derivative.eval r := by rw [taylor_coeff, hasseDeriv_one] #align polynomial.taylor_coeff_one Polynomial.taylor_coeff_one @[simp] theorem natDegree_taylor (p : R[X]) (r : R) : natDegree (taylor r p) = natDegree p := by refine map_natDegree_eq_natDegree _ ?_ nontriviality R intro n c c0 simp [taylor_monomial, natDegree_C_mul_eq_of_mul_ne_zero, natDegree_pow_X_add_C, c0] #align polynomial.nat_degree_taylor Polynomial.natDegree_taylor @[simp] theorem taylor_mul {R} [CommSemiring R] (r : R) (p q : R[X]) : taylor r (p * q) = taylor r p * taylor r q := by simp only [taylor_apply, mul_comp] #align polynomial.taylor_mul Polynomial.taylor_mul @[simps!] def taylorAlgHom {R} [CommSemiring R] (r : R) : R[X] →ₐ[R] R[X] := AlgHom.ofLinearMap (taylor r) (taylor_one r) (taylor_mul r) #align polynomial.taylor_alg_hom Polynomial.taylorAlgHom theorem taylor_taylor {R} [CommSemiring R] (f : R[X]) (r s : R) : taylor r (taylor s f) = taylor (r + s) f := by simp only [taylor_apply, comp_assoc, map_add, add_comp, X_comp, C_comp, C_add, add_assoc] #align polynomial.taylor_taylor Polynomial.taylor_taylor theorem taylor_eval {R} [CommSemiring R] (r : R) (f : R[X]) (s : R) : (taylor r f).eval s = f.eval (s + r) := by simp only [taylor_apply, eval_comp, eval_C, eval_X, eval_add] #align polynomial.taylor_eval Polynomial.taylor_eval theorem taylor_eval_sub {R} [CommRing R] (r : R) (f : R[X]) (s : R) : (taylor r f).eval (s - r) = f.eval s := by rw [taylor_eval, sub_add_cancel] #align polynomial.taylor_eval_sub Polynomial.taylor_eval_sub theorem taylor_injective {R} [CommRing R] (r : R) : Function.Injective (taylor r) := by intro f g h apply_fun taylor (-r) at h simpa only [taylor_apply, comp_assoc, add_comp, X_comp, C_comp, C_neg, neg_add_cancel_right, comp_X] using h #align polynomial.taylor_injective Polynomial.taylor_injective
Mathlib/Algebra/Polynomial/Taylor.lean
137
142
theorem eq_zero_of_hasseDeriv_eq_zero {R} [CommRing R] (f : R[X]) (r : R) (h : ∀ k, (hasseDeriv k f).eval r = 0) : f = 0 := by
apply taylor_injective r rw [LinearMap.map_zero] ext k simp only [taylor_coeff, h, coeff_zero]
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2)) theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
46
50
theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.Div #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section CommRing variable [CommRing R] theorem le_rootMultiplicity_iff {p : R[X]} (p0 : p ≠ 0) {a : R} {n : ℕ} : n ≤ rootMultiplicity a p ↔ (X - C a) ^ n ∣ p := by classical rw [rootMultiplicity_eq_nat_find_of_nonzero p0, @Nat.le_find_iff _ (_)] simp_rw [Classical.not_not] refine ⟨fun h => ?_, fun h m hm => (pow_dvd_pow _ hm).trans h⟩ cases' n with n; · rw [pow_zero] apply one_dvd; · exact h n n.lt_succ_self #align polynomial.le_root_multiplicity_iff Polynomial.le_rootMultiplicity_iff theorem rootMultiplicity_le_iff {p : R[X]} (p0 : p ≠ 0) (a : R) (n : ℕ) : rootMultiplicity a p ≤ n ↔ ¬(X - C a) ^ (n + 1) ∣ p := by rw [← (le_rootMultiplicity_iff p0).not, not_le, Nat.lt_add_one_iff] #align polynomial.root_multiplicity_le_iff Polynomial.rootMultiplicity_le_iff theorem pow_rootMultiplicity_not_dvd {p : R[X]} (p0 : p ≠ 0) (a : R) : ¬(X - C a) ^ (rootMultiplicity a p + 1) ∣ p := by rw [← rootMultiplicity_le_iff p0] #align polynomial.pow_root_multiplicity_not_dvd Polynomial.pow_rootMultiplicity_not_dvd
Mathlib/Algebra/Polynomial/RingDivision.lean
448
451
theorem X_sub_C_pow_dvd_iff {p : R[X]} {t : R} {n : ℕ} : (X - C t) ^ n ∣ p ↔ X ^ n ∣ p.comp (X + C t) := by
convert (map_dvd_iff <| algEquivAevalXAddC t).symm using 2 simp [C_eq_algebraMap]
import Mathlib.Data.Matrix.Basis import Mathlib.Data.Matrix.DMatrix import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.Tactic.FieldSimp #align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6" universe u₁ u₂ namespace Matrix open Matrix variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜] variable [DecidableEq n] [DecidableEq p] variable [CommRing R] section Transvection variable {R n} (i j : n) def transvection (c : R) : Matrix n n R := 1 + Matrix.stdBasisMatrix i j c #align matrix.transvection Matrix.transvection @[simp] theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection] #align matrix.transvection_zero Matrix.transvection_zero section theorem updateRow_eq_transvection [Finite n] (c : R) : updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) = transvection i j c := by cases nonempty_fintype n ext a b by_cases ha : i = a · by_cases hb : j = b · simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same, one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply] · simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply, Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul, mul_zero, add_apply] · simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero, Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply, mul_zero, false_and_iff, add_apply] #align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection variable [Fintype n] theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) : transvection i j c * transvection i j d = transvection i j (c + d) := by simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc, stdBasisMatrix_add] #align matrix.transvection_mul_transvection_same Matrix.transvection_mul_transvection_same @[simp] theorem transvection_mul_apply_same (b : n) (c : R) (M : Matrix n n R) : (transvection i j c * M) i b = M i b + c * M j b := by simp [transvection, Matrix.add_mul] #align matrix.transvection_mul_apply_same Matrix.transvection_mul_apply_same @[simp] theorem mul_transvection_apply_same (a : n) (c : R) (M : Matrix n n R) : (M * transvection i j c) a j = M a j + c * M a i := by simp [transvection, Matrix.mul_add, mul_comm] #align matrix.mul_transvection_apply_same Matrix.mul_transvection_apply_same @[simp] theorem transvection_mul_apply_of_ne (a b : n) (ha : a ≠ i) (c : R) (M : Matrix n n R) : (transvection i j c * M) a b = M a b := by simp [transvection, Matrix.add_mul, ha] #align matrix.transvection_mul_apply_of_ne Matrix.transvection_mul_apply_of_ne @[simp] theorem mul_transvection_apply_of_ne (a b : n) (hb : b ≠ j) (c : R) (M : Matrix n n R) : (M * transvection i j c) a b = M a b := by simp [transvection, Matrix.mul_add, hb] #align matrix.mul_transvection_apply_of_ne Matrix.mul_transvection_apply_of_ne @[simp] theorem det_transvection_of_ne (h : i ≠ j) (c : R) : det (transvection i j c) = 1 := by rw [← updateRow_eq_transvection i j, det_updateRow_add_smul_self _ h, det_one] #align matrix.det_transvection_of_ne Matrix.det_transvection_of_ne end variable (R n) -- porting note (#5171): removed @[nolint has_nonempty_instance] structure TransvectionStruct where (i j : n) hij : i ≠ j c : R #align matrix.transvection_struct Matrix.TransvectionStruct instance [Nontrivial n] : Nonempty (TransvectionStruct n R) := by choose x y hxy using exists_pair_ne n exact ⟨⟨x, y, hxy, 0⟩⟩ namespace TransvectionStruct variable {R n} def toMatrix (t : TransvectionStruct n R) : Matrix n n R := transvection t.i t.j t.c #align matrix.transvection_struct.to_matrix Matrix.TransvectionStruct.toMatrix @[simp] theorem toMatrix_mk (i j : n) (hij : i ≠ j) (c : R) : TransvectionStruct.toMatrix ⟨i, j, hij, c⟩ = transvection i j c := rfl #align matrix.transvection_struct.to_matrix_mk Matrix.TransvectionStruct.toMatrix_mk @[simp] protected theorem det [Fintype n] (t : TransvectionStruct n R) : det t.toMatrix = 1 := det_transvection_of_ne _ _ t.hij _ #align matrix.transvection_struct.det Matrix.TransvectionStruct.det @[simp] theorem det_toMatrix_prod [Fintype n] (L : List (TransvectionStruct n 𝕜)) : det (L.map toMatrix).prod = 1 := by induction' L with t L IH · simp · simp [IH] #align matrix.transvection_struct.det_to_matrix_prod Matrix.TransvectionStruct.det_toMatrix_prod @[simps] protected def inv (t : TransvectionStruct n R) : TransvectionStruct n R where i := t.i j := t.j hij := t.hij c := -t.c #align matrix.transvection_struct.inv Matrix.TransvectionStruct.inv section variable [Fintype n] theorem inv_mul (t : TransvectionStruct n R) : t.inv.toMatrix * t.toMatrix = 1 := by rcases t with ⟨_, _, t_hij⟩ simp [toMatrix, transvection_mul_transvection_same, t_hij] #align matrix.transvection_struct.inv_mul Matrix.TransvectionStruct.inv_mul
Mathlib/LinearAlgebra/Matrix/Transvection.lean
210
212
theorem mul_inv (t : TransvectionStruct n R) : t.toMatrix * t.inv.toMatrix = 1 := by
rcases t with ⟨_, _, t_hij⟩ simp [toMatrix, transvection_mul_transvection_same, t_hij]
import Mathlib.Algebra.Associated import Mathlib.Algebra.BigOperators.Finsupp #align_import algebra.big_operators.associated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {α β γ δ : Type*} -- the same local notation used in `Algebra.Associated` local infixl:50 " ~ᵤ " => Associated theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} : x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 := ⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩, ⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩, fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ => ⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩ theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M) (g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by induction s using Finset.induction with | empty => simp only [Finset.prod_empty] rfl | @insert j s hjs IH => classical convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i) rw [Finset.prod_insert hjs, Finset.prod_insert hjs] exact Associated.mul_mul (h j (Finset.mem_insert_self j s)) (IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi))) theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p) {s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q := Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by rw [Multiset.prod_cons] at hps cases' hp.dvd_or_dvd hps with h h · have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl)) exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩ · rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩ exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩ #align exists_associated_mem_of_dvd_prod exists_associated_mem_of_dvd_prod theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α] [∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by induction' s using Multiset.induction_on with a s induct n primes divs generalizing n · simp only [Multiset.prod_zero, one_dvd] · rw [Multiset.prod_cons] obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s) apply mul_dvd_mul_left a refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_) fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a) have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s) have a_prime := h a (Multiset.mem_cons_self a s) have b_prime := h b (Multiset.mem_cons_of_mem b_in_s) refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_ have assoc := b_prime.associated_of_dvd a_prime b_div_a have := uniq a rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt, Multiset.countP_pos] at this exact this ⟨b, b_in_s, assoc.symm⟩ #align multiset.prod_primes_dvd Multiset.prod_primes_dvd theorem Finset.prod_primes_dvd [CancelCommMonoidWithZero α] [Unique αˣ] {s : Finset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) : (∏ p ∈ s, p) ∣ n := by classical exact Multiset.prod_primes_dvd n (by simpa only [Multiset.map_id', Finset.mem_def] using h) (by simpa only [Multiset.map_id', Finset.mem_def] using div) (by simp only [Multiset.map_id', associated_eq_eq, Multiset.countP_eq_card_filter, ← s.val.count_eq_card_filter_eq, ← Multiset.nodup_iff_count_le_one, s.nodup]) #align finset.prod_primes_dvd Finset.prod_primes_dvd namespace Associates section CancelCommMonoidWithZero variable [CancelCommMonoidWithZero α]
Mathlib/Algebra/BigOperators/Associated.lean
159
168
theorem exists_mem_multiset_le_of_prime {s : Multiset (Associates α)} {p : Associates α} (hp : Prime p) : p ≤ s.prod → ∃ a ∈ s, p ≤ a := Multiset.induction_on s (fun ⟨d, Eq⟩ => (hp.ne_one (mul_eq_one_iff.1 Eq.symm).1).elim) fun a s ih h => have : p ≤ a * s.prod := by
simpa using h match Prime.le_or_le hp this with | Or.inl h => ⟨a, Multiset.mem_cons_self a s, h⟩ | Or.inr h => let ⟨a, has, h⟩ := ih h ⟨a, Multiset.mem_cons_of_mem has, h⟩
import Mathlib.Data.Matrix.Invertible import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.PosDef #align_import linear_algebra.matrix.schur_complement from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af" variable {l m n α : Type*} namespace Matrix open scoped Matrix section CommRing variable [Fintype l] [Fintype m] [Fintype n] variable [DecidableEq l] [DecidableEq m] [DecidableEq n] variable [CommRing α] theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α) (D : Matrix l n α) [Invertible A] : fromBlocks A B C D = fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) * fromBlocks 1 (⅟ A * B) 0 1 := by simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add, Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_self_assoc, Matrix.mul_invOf_mul_self_cancel, Matrix.mul_assoc, add_sub_cancel] #align matrix.from_blocks_eq_of_invertible₁₁ Matrix.fromBlocks_eq_of_invertible₁₁ theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α) (D : Matrix n n α) [Invertible D] : fromBlocks A B C D = fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D * fromBlocks 1 0 (⅟ D * C) 1 := (Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply, fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A #align matrix.from_blocks_eq_of_invertible₂₂ Matrix.fromBlocks_eq_of_invertible₂₂ section StarOrderedRing variable {𝕜 : Type*} [CommRing 𝕜] [PartialOrder 𝕜] [StarRing 𝕜] [StarOrderedRing 𝕜] scoped infixl:65 " ⊕ᵥ " => Sum.elim theorem schur_complement_eq₁₁ [Fintype m] [DecidableEq m] [Fintype n] {A : Matrix m m 𝕜} (B : Matrix m n 𝕜) (D : Matrix n n 𝕜) (x : m → 𝕜) (y : n → 𝕜) [Invertible A] (hA : A.IsHermitian) : (star (x ⊕ᵥ y)) ᵥ* (fromBlocks A B Bᴴ D) ⬝ᵥ (x ⊕ᵥ y) = (star (x + (A⁻¹ * B) *ᵥ y)) ᵥ* A ⬝ᵥ (x + (A⁻¹ * B) *ᵥ y) + (star y) ᵥ* (D - Bᴴ * A⁻¹ * B) ⬝ᵥ y := by simp [Function.star_sum_elim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul, dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hA.eq, conjTranspose_nonsing_inv, star_mulVec] abel #align matrix.schur_complement_eq₁₁ Matrix.schur_complement_eq₁₁ theorem schur_complement_eq₂₂ [Fintype m] [Fintype n] [DecidableEq n] (A : Matrix m m 𝕜) (B : Matrix m n 𝕜) {D : Matrix n n 𝕜} (x : m → 𝕜) (y : n → 𝕜) [Invertible D] (hD : D.IsHermitian) : (star (x ⊕ᵥ y)) ᵥ* (fromBlocks A B Bᴴ D) ⬝ᵥ (x ⊕ᵥ y) = (star ((D⁻¹ * Bᴴ) *ᵥ x + y)) ᵥ* D ⬝ᵥ ((D⁻¹ * Bᴴ) *ᵥ x + y) + (star x) ᵥ* (A - B * D⁻¹ * Bᴴ) ⬝ᵥ x := by simp [Function.star_sum_elim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul, dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hD.eq, conjTranspose_nonsing_inv, star_mulVec] abel #align matrix.schur_complement_eq₂₂ Matrix.schur_complement_eq₂₂ theorem IsHermitian.fromBlocks₁₁ [Fintype m] [DecidableEq m] {A : Matrix m m 𝕜} (B : Matrix m n 𝕜) (D : Matrix n n 𝕜) (hA : A.IsHermitian) : (Matrix.fromBlocks A B Bᴴ D).IsHermitian ↔ (D - Bᴴ * A⁻¹ * B).IsHermitian := by have hBAB : (Bᴴ * A⁻¹ * B).IsHermitian := by apply isHermitian_conjTranspose_mul_mul apply hA.inv rw [isHermitian_fromBlocks_iff] constructor · intro h apply IsHermitian.sub h.2.2.2 hBAB · intro h refine ⟨hA, rfl, conjTranspose_conjTranspose B, ?_⟩ rw [← sub_add_cancel D] apply IsHermitian.add h hBAB #align matrix.is_hermitian.from_blocks₁₁ Matrix.IsHermitian.fromBlocks₁₁
Mathlib/LinearAlgebra/Matrix/SchurComplement.lean
522
527
theorem IsHermitian.fromBlocks₂₂ [Fintype n] [DecidableEq n] (A : Matrix m m 𝕜) (B : Matrix m n 𝕜) {D : Matrix n n 𝕜} (hD : D.IsHermitian) : (Matrix.fromBlocks A B Bᴴ D).IsHermitian ↔ (A - B * D⁻¹ * Bᴴ).IsHermitian := by
rw [← isHermitian_submatrix_equiv (Equiv.sumComm n m), Equiv.sumComm_apply, fromBlocks_submatrix_sum_swap_sum_swap] convert IsHermitian.fromBlocks₁₁ _ _ hD <;> simp
import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Conj import Mathlib.CategoryTheory.Functor.ReflectsIso #align_import category_theory.adjunction.reflective from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a" universe v₁ v₂ v₃ u₁ u₂ u₃ noncomputable section namespace CategoryTheory open Category Adjunction variable {C : Type u₁} {D : Type u₂} {E : Type u₃} variable [Category.{v₁} C] [Category.{v₂} D] [Category.{v₃} E] class Reflective (R : D ⥤ C) extends R.Full, R.Faithful where L : C ⥤ D adj : L ⊣ R #align category_theory.reflective CategoryTheory.Reflective variable (i : D ⥤ C) def reflector [Reflective i] : C ⥤ D := Reflective.L (R := i) def reflectorAdjunction [Reflective i] : reflector i ⊣ i := Reflective.adj instance [Reflective i] : i.IsRightAdjoint := ⟨_, ⟨reflectorAdjunction i⟩⟩ instance [Reflective i] : (reflector i).IsLeftAdjoint := ⟨_, ⟨reflectorAdjunction i⟩⟩ def Functor.fullyFaithfulOfReflective [Reflective i] : i.FullyFaithful := (reflectorAdjunction i).fullyFaithfulROfIsIsoCounit -- TODO: This holds more generally for idempotent adjunctions, not just reflective adjunctions. theorem unit_obj_eq_map_unit [Reflective i] (X : C) : (reflectorAdjunction i).unit.app (i.obj ((reflector i).obj X)) = i.map ((reflector i).map ((reflectorAdjunction i).unit.app X)) := by rw [← cancel_mono (i.map ((reflectorAdjunction i).counit.app ((reflector i).obj X))), ← i.map_comp] simp #align category_theory.unit_obj_eq_map_unit CategoryTheory.unit_obj_eq_map_unit example [Reflective i] {B : D} : IsIso ((reflectorAdjunction i).unit.app (i.obj B)) := inferInstance variable {i} theorem Functor.essImage.unit_isIso [Reflective i] {A : C} (h : A ∈ i.essImage) : IsIso ((reflectorAdjunction i).unit.app A) := by rwa [isIso_unit_app_iff_mem_essImage] #align category_theory.functor.ess_image.unit_is_iso CategoryTheory.Functor.essImage.unit_isIso theorem mem_essImage_of_unit_isIso {L : C ⥤ D} (adj : L ⊣ i) (A : C) [IsIso (adj.unit.app A)] : A ∈ i.essImage := ⟨L.obj A, ⟨(asIso (adj.unit.app A)).symm⟩⟩ #align category_theory.mem_ess_image_of_unit_is_iso CategoryTheory.mem_essImage_of_unit_isIso
Mathlib/CategoryTheory/Adjunction/Reflective.lean
99
109
theorem mem_essImage_of_unit_isSplitMono [Reflective i] {A : C} [IsSplitMono ((reflectorAdjunction i).unit.app A)] : A ∈ i.essImage := by
let η : 𝟭 C ⟶ reflector i ⋙ i := (reflectorAdjunction i).unit haveI : IsIso (η.app (i.obj ((reflector i).obj A))) := Functor.essImage.unit_isIso ((i.obj_mem_essImage _)) have : Epi (η.app A) := by refine @epi_of_epi _ _ _ _ _ (retraction (η.app A)) (η.app A) ?_ rw [show retraction _ ≫ η.app A = _ from η.naturality (retraction (η.app A))] apply epi_comp (η.app (i.obj ((reflector i).obj A))) haveI := isIso_of_epi_of_isSplitMono (η.app A) exact mem_essImage_of_unit_isIso (reflectorAdjunction i) A
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Normed.Group.Lemmas import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.Analysis.NormedSpace.AffineIsometry import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Analysis.NormedSpace.RieszLemma import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Topology.Algebra.Module.FiniteDimension import Mathlib.Topology.Algebra.InfiniteSum.Module import Mathlib.Topology.Instances.Matrix #align_import analysis.normed_space.finite_dimension from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" universe u v w x noncomputable section open Set FiniteDimensional TopologicalSpace Filter Asymptotics Classical Topology NNReal Metric section CompleteField variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type w} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type x} [AddCommGroup F'] [Module 𝕜 F'] [TopologicalSpace F'] [TopologicalAddGroup F'] [ContinuousSMul 𝕜 F'] [CompleteSpace 𝕜] theorem ContinuousLinearMap.continuous_det : Continuous fun f : E →L[𝕜] E => f.det := by change Continuous fun f : E →L[𝕜] E => LinearMap.det (f : E →ₗ[𝕜] E) -- Porting note: this could be easier with `det_cases` by_cases h : ∃ s : Finset E, Nonempty (Basis (↥s) 𝕜 E) · rcases h with ⟨s, ⟨b⟩⟩ haveI : FiniteDimensional 𝕜 E := FiniteDimensional.of_fintype_basis b simp_rw [LinearMap.det_eq_det_toMatrix_of_finset b] refine Continuous.matrix_det ?_ exact ((LinearMap.toMatrix b b).toLinearMap.comp (ContinuousLinearMap.coeLM 𝕜)).continuous_of_finiteDimensional · -- Porting note: was `unfold LinearMap.det` rw [LinearMap.det_def] simpa only [h, MonoidHom.one_apply, dif_neg, not_false_iff] using continuous_const #align continuous_linear_map.continuous_det ContinuousLinearMap.continuous_det irreducible_def lipschitzExtensionConstant (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] : ℝ≥0 := let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv max (‖A.symm.toContinuousLinearMap‖₊ * ‖A.toContinuousLinearMap‖₊) 1 #align lipschitz_extension_constant lipschitzExtensionConstant
Mathlib/Analysis/NormedSpace/FiniteDimension.lean
189
192
theorem lipschitzExtensionConstant_pos (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] : 0 < lipschitzExtensionConstant E' := by
rw [lipschitzExtensionConstant] exact zero_lt_one.trans_le (le_max_right _ _)
import Mathlib.RingTheory.HahnSeries.Multiplication import Mathlib.RingTheory.PowerSeries.Basic import Mathlib.Data.Finsupp.PWO #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical open Pointwise Polynomial noncomputable section variable {Γ : Type*} {R : Type*} namespace HahnSeries section Semiring variable [Semiring R] @[simps] def toPowerSeries : HahnSeries ℕ R ≃+* PowerSeries R where toFun f := PowerSeries.mk f.coeff invFun f := ⟨fun n => PowerSeries.coeff R n f, (Nat.lt_wfRel.wf.isWF _).isPWO⟩ left_inv f := by ext simp right_inv f := by ext simp map_add' f g := by ext simp map_mul' f g := by ext n simp only [PowerSeries.coeff_mul, PowerSeries.coeff_mk, mul_coeff, isPWO_support] classical refine (sum_filter_ne_zero _).symm.trans <| (sum_congr ?_ fun _ _ ↦ rfl).trans <| sum_filter_ne_zero _ ext m simp only [mem_antidiagonal, mem_addAntidiagonal, and_congr_left_iff, mem_filter, mem_support] rintro h rw [and_iff_right (left_ne_zero_of_mul h), and_iff_right (right_ne_zero_of_mul h)] #align hahn_series.to_power_series HahnSeries.toPowerSeries theorem coeff_toPowerSeries {f : HahnSeries ℕ R} {n : ℕ} : PowerSeries.coeff R n (toPowerSeries f) = f.coeff n := PowerSeries.coeff_mk _ _ #align hahn_series.coeff_to_power_series HahnSeries.coeff_toPowerSeries theorem coeff_toPowerSeries_symm {f : PowerSeries R} {n : ℕ} : (HahnSeries.toPowerSeries.symm f).coeff n = PowerSeries.coeff R n f := rfl #align hahn_series.coeff_to_power_series_symm HahnSeries.coeff_toPowerSeries_symm variable (Γ R) [StrictOrderedSemiring Γ] def ofPowerSeries : PowerSeries R →+* HahnSeries Γ R := (HahnSeries.embDomainRingHom (Nat.castAddMonoidHom Γ) Nat.strictMono_cast.injective fun _ _ => Nat.cast_le).comp (RingEquiv.toRingHom toPowerSeries.symm) #align hahn_series.of_power_series HahnSeries.ofPowerSeries variable {Γ} {R} theorem ofPowerSeries_injective : Function.Injective (ofPowerSeries Γ R) := embDomain_injective.comp toPowerSeries.symm.injective #align hahn_series.of_power_series_injective HahnSeries.ofPowerSeries_injective theorem ofPowerSeries_apply (x : PowerSeries R) : ofPowerSeries Γ R x = HahnSeries.embDomain ⟨⟨((↑) : ℕ → Γ), Nat.strictMono_cast.injective⟩, by simp only [Function.Embedding.coeFn_mk] exact Nat.cast_le⟩ (toPowerSeries.symm x) := rfl #align hahn_series.of_power_series_apply HahnSeries.ofPowerSeries_apply theorem ofPowerSeries_apply_coeff (x : PowerSeries R) (n : ℕ) : (ofPowerSeries Γ R x).coeff n = PowerSeries.coeff R n x := by simp [ofPowerSeries_apply] #align hahn_series.of_power_series_apply_coeff HahnSeries.ofPowerSeries_apply_coeff @[simp]
Mathlib/RingTheory/HahnSeries/PowerSeries.lean
117
128
theorem ofPowerSeries_C (r : R) : ofPowerSeries Γ R (PowerSeries.C R r) = HahnSeries.C r := by
ext n simp only [ofPowerSeries_apply, C, RingHom.coe_mk, MonoidHom.coe_mk, OneHom.coe_mk, ne_eq, single_coeff] split_ifs with hn · subst hn convert @embDomain_coeff ℕ R _ _ Γ _ _ _ 0 <;> simp · rw [embDomain_notin_image_support] simp only [not_exists, Set.mem_image, toPowerSeries_symm_apply_coeff, mem_support, PowerSeries.coeff_C] intro simp (config := { contextual := true }) [Ne.symm hn]
import Mathlib.Data.List.Range import Mathlib.Algebra.Order.Ring.Nat variable {α : Type*} namespace List @[simp]
Mathlib/Data/List/Iterate.lean
21
22
theorem length_iterate (f : α → α) (a : α) (n : ℕ) : length (iterate f a n) = n := by
induction n generalizing a <;> simp [*]
import Mathlib.Geometry.RingedSpace.PresheafedSpace import Mathlib.Topology.Category.TopCat.Limits.Basic import Mathlib.Topology.Sheaves.Limits import Mathlib.CategoryTheory.ConcreteCategory.Elementwise #align_import algebraic_geometry.presheafed_space.has_colimits from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" noncomputable section universe v' u' v u open CategoryTheory Opposite CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits TopCat TopCat.Presheaf TopologicalSpace variable {J : Type u'} [Category.{v'} J] {C : Type u} [Category.{v} C] namespace AlgebraicGeometry namespace PresheafedSpace attribute [local simp] eqToHom_map -- Porting note: we used to have: -- local attribute [tidy] tactic.auto_cases_opens -- We would replace this by: -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- although it doesn't appear to help in this file, in any case. @[simp] theorem map_id_c_app (F : J ⥤ PresheafedSpace.{_, _, v} C) (j) (U) : (F.map (𝟙 j)).c.app (op U) = (Pushforward.id (F.obj j).presheaf).inv.app (op U) ≫ (pushforwardEq (by simp) (F.obj j).presheaf).hom.app (op U) := by cases U simp [PresheafedSpace.congr_app (F.map_id j)] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.map_id_c_app AlgebraicGeometry.PresheafedSpace.map_id_c_app @[simp]
Mathlib/Geometry/RingedSpace/PresheafedSpace/HasColimits.lean
70
79
theorem map_comp_c_app (F : J ⥤ PresheafedSpace.{_, _, v} C) {j₁ j₂ j₃} (f : j₁ ⟶ j₂) (g : j₂ ⟶ j₃) (U) : (F.map (f ≫ g)).c.app (op U) = (F.map g).c.app (op U) ≫ (pushforwardMap (F.map g).base (F.map f).c).app (op U) ≫ (Pushforward.comp (F.obj j₁).presheaf (F.map f).base (F.map g).base).inv.app (op U) ≫ (pushforwardEq (by rw [F.map_comp]; rfl) _).hom.app _ := by
cases U simp [PresheafedSpace.congr_app (F.map_comp f g)]
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 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 set_option linter.uppercaseLean3 false in #align ordinal.CNF_of_le_one Ordinal.CNF_of_le_one theorem CNF_of_lt {b o : Ordinal} (ho : o ≠ 0) (hb : o < b) : CNF b o = [⟨0, o⟩] := by simp only [CNF_ne_zero ho, log_eq_zero hb, opow_zero, div_one, mod_one, CNF_zero] set_option linter.uppercaseLean3 false in #align ordinal.CNF_of_lt Ordinal.CNF_of_lt theorem CNF_foldr (b o : Ordinal) : (CNF b o).foldr (fun p r ↦ b ^ p.1 * p.2 + r) 0 = o := CNFRec b (by rw [CNF_zero]; rfl) (fun o ho IH ↦ by rw [CNF_ne_zero ho, foldr_cons, IH, div_add_mod]) o set_option linter.uppercaseLean3 false in #align ordinal.CNF_foldr Ordinal.CNF_foldr theorem CNF_fst_le_log {b o : Ordinal.{u}} {x : Ordinal × Ordinal} : x ∈ CNF b o → x.1 ≤ log b o := by refine CNFRec b ?_ (fun o ho H ↦ ?_) o · rw [CNF_zero] intro contra; contradiction · rw [CNF_ne_zero ho, mem_cons] rintro (rfl | h) · exact le_rfl · exact (H h).trans (log_mono_right _ (mod_opow_log_lt_self b ho).le) set_option linter.uppercaseLean3 false in #align ordinal.CNF_fst_le_log Ordinal.CNF_fst_le_log theorem CNF_fst_le {b o : Ordinal.{u}} {x : Ordinal × Ordinal} (h : x ∈ CNF b o) : x.1 ≤ o := (CNF_fst_le_log h).trans <| log_le_self _ _ set_option linter.uppercaseLean3 false in #align ordinal.CNF_fst_le Ordinal.CNF_fst_le
Mathlib/SetTheory/Ordinal/CantorNormalForm.lean
140
145
theorem CNF_lt_snd {b o : Ordinal.{u}} {x : Ordinal × Ordinal} : x ∈ CNF b o → 0 < x.2 := by
refine CNFRec b (by simp) (fun o ho IH ↦ ?_) o rw [CNF_ne_zero ho] rintro (h | ⟨_, h⟩) · exact div_opow_log_pos b ho · exact IH h
import Mathlib.FieldTheory.RatFunc.AsPolynomial import Mathlib.RingTheory.EuclideanDomain import Mathlib.RingTheory.Localization.FractionRing import Mathlib.RingTheory.Polynomial.Content noncomputable section universe u variable {K : Type u} namespace RatFunc section IntDegree open Polynomial variable [Field K] def intDegree (x : RatFunc K) : ℤ := natDegree x.num - natDegree x.denom #align ratfunc.int_degree RatFunc.intDegree @[simp] theorem intDegree_zero : intDegree (0 : RatFunc K) = 0 := by rw [intDegree, num_zero, natDegree_zero, denom_zero, natDegree_one, sub_self] #align ratfunc.int_degree_zero RatFunc.intDegree_zero @[simp] theorem intDegree_one : intDegree (1 : RatFunc K) = 0 := by rw [intDegree, num_one, denom_one, sub_self] #align ratfunc.int_degree_one RatFunc.intDegree_one @[simp] theorem intDegree_C (k : K) : intDegree (C k) = 0 := by rw [intDegree, num_C, natDegree_C, denom_C, natDegree_one, sub_self] set_option linter.uppercaseLean3 false in #align ratfunc.int_degree_C RatFunc.intDegree_C @[simp] theorem intDegree_X : intDegree (X : RatFunc K) = 1 := by rw [intDegree, num_X, Polynomial.natDegree_X, denom_X, Polynomial.natDegree_one, Int.ofNat_one, Int.ofNat_zero, sub_zero] set_option linter.uppercaseLean3 false in #align ratfunc.int_degree_X RatFunc.intDegree_X @[simp] theorem intDegree_polynomial {p : K[X]} : intDegree (algebraMap K[X] (RatFunc K) p) = natDegree p := by rw [intDegree, RatFunc.num_algebraMap, RatFunc.denom_algebraMap, Polynomial.natDegree_one, Int.ofNat_zero, sub_zero] #align ratfunc.int_degree_polynomial RatFunc.intDegree_polynomial
Mathlib/FieldTheory/RatFunc/Degree.lean
71
81
theorem intDegree_mul {x y : RatFunc K} (hx : x ≠ 0) (hy : y ≠ 0) : intDegree (x * y) = intDegree x + intDegree y := by
simp only [intDegree, add_sub, sub_add, sub_sub_eq_add_sub, sub_sub, sub_eq_sub_iff_add_eq_add] norm_cast rw [← Polynomial.natDegree_mul x.denom_ne_zero y.denom_ne_zero, ← Polynomial.natDegree_mul (RatFunc.num_ne_zero (mul_ne_zero hx hy)) (mul_ne_zero x.denom_ne_zero y.denom_ne_zero), ← Polynomial.natDegree_mul (RatFunc.num_ne_zero hx) (RatFunc.num_ne_zero hy), ← Polynomial.natDegree_mul (mul_ne_zero (RatFunc.num_ne_zero hx) (RatFunc.num_ne_zero hy)) (x * y).denom_ne_zero, RatFunc.num_denom_mul]
import Mathlib.Analysis.InnerProductSpace.Adjoint #align_import analysis.inner_product_space.positive from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" open InnerProductSpace RCLike ContinuousLinearMap open scoped InnerProduct ComplexConjugate namespace ContinuousLinearMap variable {𝕜 E F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] variable [CompleteSpace E] [CompleteSpace F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y def IsPositive (T : E →L[𝕜] E) : Prop := IsSelfAdjoint T ∧ ∀ x, 0 ≤ T.reApplyInnerSelf x #align continuous_linear_map.is_positive ContinuousLinearMap.IsPositive theorem IsPositive.isSelfAdjoint {T : E →L[𝕜] E} (hT : IsPositive T) : IsSelfAdjoint T := hT.1 #align continuous_linear_map.is_positive.is_self_adjoint ContinuousLinearMap.IsPositive.isSelfAdjoint theorem IsPositive.inner_nonneg_left {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪T x, x⟫ := hT.2 x #align continuous_linear_map.is_positive.inner_nonneg_left ContinuousLinearMap.IsPositive.inner_nonneg_left theorem IsPositive.inner_nonneg_right {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪x, T x⟫ := by rw [inner_re_symm]; exact hT.inner_nonneg_left x #align continuous_linear_map.is_positive.inner_nonneg_right ContinuousLinearMap.IsPositive.inner_nonneg_right theorem isPositive_zero : IsPositive (0 : E →L[𝕜] E) := by refine ⟨isSelfAdjoint_zero _, fun x => ?_⟩ change 0 ≤ re ⟪_, _⟫ rw [zero_apply, inner_zero_left, ZeroHomClass.map_zero] #align continuous_linear_map.is_positive_zero ContinuousLinearMap.isPositive_zero theorem isPositive_one : IsPositive (1 : E →L[𝕜] E) := ⟨isSelfAdjoint_one _, fun _ => inner_self_nonneg⟩ #align continuous_linear_map.is_positive_one ContinuousLinearMap.isPositive_one theorem IsPositive.add {T S : E →L[𝕜] E} (hT : T.IsPositive) (hS : S.IsPositive) : (T + S).IsPositive := by refine ⟨hT.isSelfAdjoint.add hS.isSelfAdjoint, fun x => ?_⟩ rw [reApplyInnerSelf, add_apply, inner_add_left, map_add] exact add_nonneg (hT.inner_nonneg_left x) (hS.inner_nonneg_left x) #align continuous_linear_map.is_positive.add ContinuousLinearMap.IsPositive.add theorem IsPositive.conj_adjoint {T : E →L[𝕜] E} (hT : T.IsPositive) (S : E →L[𝕜] F) : (S ∘L T ∘L S†).IsPositive := by refine ⟨hT.isSelfAdjoint.conj_adjoint S, fun x => ?_⟩ rw [reApplyInnerSelf, comp_apply, ← adjoint_inner_right] exact hT.inner_nonneg_left _ #align continuous_linear_map.is_positive.conj_adjoint ContinuousLinearMap.IsPositive.conj_adjoint
Mathlib/Analysis/InnerProductSpace/Positive.lean
95
98
theorem IsPositive.adjoint_conj {T : E →L[𝕜] E} (hT : T.IsPositive) (S : F →L[𝕜] E) : (S† ∘L T ∘L S).IsPositive := by
convert hT.conj_adjoint (S†) rw [adjoint_adjoint]
import Mathlib.Dynamics.BirkhoffSum.Basic import Mathlib.Algebra.Module.Basic open Finset section birkhoffAverage variable (R : Type*) {α M : Type*} [DivisionSemiring R] [AddCommMonoid M] [Module R M] def birkhoffAverage (f : α → α) (g : α → M) (n : ℕ) (x : α) : M := (n : R)⁻¹ • birkhoffSum f g n x theorem birkhoffAverage_zero (f : α → α) (g : α → M) (x : α) : birkhoffAverage R f g 0 x = 0 := by simp [birkhoffAverage] @[simp] theorem birkhoffAverage_zero' (f : α → α) (g : α → M) : birkhoffAverage R f g 0 = 0 := funext <| birkhoffAverage_zero _ _ _
Mathlib/Dynamics/BirkhoffSum/Average.lean
50
51
theorem birkhoffAverage_one (f : α → α) (g : α → M) (x : α) : birkhoffAverage R f g 1 x = g x := by
simp [birkhoffAverage]
import Mathlib.Data.Set.Function import Mathlib.Logic.Function.Iterate import Mathlib.GroupTheory.Perm.Basic #align_import dynamics.fixed_points.basic from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Equiv universe u v variable {α : Type u} {β : Type v} {f fa g : α → α} {x y : α} {fb : β → β} {m n k : ℕ} {e : Perm α} namespace Function open Function (Commute) def IsFixedPt (f : α → α) (x : α) := f x = x #align function.is_fixed_pt Function.IsFixedPt theorem isFixedPt_id (x : α) : IsFixedPt id x := (rfl : _) #align function.is_fixed_pt_id Function.isFixedPt_id namespace IsFixedPt instance decidable [h : DecidableEq α] {f : α → α} {x : α} : Decidable (IsFixedPt f x) := h (f x) x protected theorem eq (hf : IsFixedPt f x) : f x = x := hf #align function.is_fixed_pt.eq Function.IsFixedPt.eq protected theorem comp (hf : IsFixedPt f x) (hg : IsFixedPt g x) : IsFixedPt (f ∘ g) x := calc f (g x) = f x := congr_arg f hg _ = x := hf #align function.is_fixed_pt.comp Function.IsFixedPt.comp protected theorem iterate (hf : IsFixedPt f x) (n : ℕ) : IsFixedPt f^[n] x := iterate_fixed hf n #align function.is_fixed_pt.iterate Function.IsFixedPt.iterate theorem left_of_comp (hfg : IsFixedPt (f ∘ g) x) (hg : IsFixedPt g x) : IsFixedPt f x := calc f x = f (g x) := congr_arg f hg.symm _ = x := hfg #align function.is_fixed_pt.left_of_comp Function.IsFixedPt.left_of_comp theorem to_leftInverse (hf : IsFixedPt f x) (h : LeftInverse g f) : IsFixedPt g x := calc g x = g (f x) := congr_arg g hf.symm _ = x := h x #align function.is_fixed_pt.to_left_inverse Function.IsFixedPt.to_leftInverse protected theorem map {x : α} (hx : IsFixedPt fa x) {g : α → β} (h : Semiconj g fa fb) : IsFixedPt fb (g x) := calc fb (g x) = g (fa x) := (h.eq x).symm _ = g x := congr_arg g hx #align function.is_fixed_pt.map Function.IsFixedPt.map protected theorem apply {x : α} (hx : IsFixedPt f x) : IsFixedPt f (f x) := by convert hx #align function.is_fixed_pt.apply Function.IsFixedPt.apply
Mathlib/Dynamics/FixedPoints/Basic.lean
97
100
theorem preimage_iterate {s : Set α} (h : IsFixedPt (Set.preimage f) s) (n : ℕ) : IsFixedPt (Set.preimage f^[n]) s := by
rw [Set.preimage_iterate_eq] exact h.iterate n
import Mathlib.CategoryTheory.Comma.Basic #align_import category_theory.arrow from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" namespace CategoryTheory universe v u -- morphism levels before object levels. See note [CategoryTheory universes]. variable {T : Type u} [Category.{v} T] section variable (T) def Arrow := Comma.{v, v, v} (𝟭 T) (𝟭 T) #align category_theory.arrow CategoryTheory.Arrow instance : Category (Arrow T) := commaCategory -- Satisfying the inhabited linter instance Arrow.inhabited [Inhabited T] : Inhabited (Arrow T) where default := show Comma (𝟭 T) (𝟭 T) from default #align category_theory.arrow.inhabited CategoryTheory.Arrow.inhabited end namespace Arrow @[ext] lemma hom_ext {X Y : Arrow T} (f g : X ⟶ Y) (h₁ : f.left = g.left) (h₂ : f.right = g.right) : f = g := CommaMorphism.ext _ _ h₁ h₂ @[simp] theorem id_left (f : Arrow T) : CommaMorphism.left (𝟙 f) = 𝟙 f.left := rfl #align category_theory.arrow.id_left CategoryTheory.Arrow.id_left @[simp] theorem id_right (f : Arrow T) : CommaMorphism.right (𝟙 f) = 𝟙 f.right := rfl #align category_theory.arrow.id_right CategoryTheory.Arrow.id_right -- Porting note (#10688): added to ease automation @[simp, reassoc] theorem comp_left {X Y Z : Arrow T} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).left = f.left ≫ g.left := rfl -- Porting note (#10688): added to ease automation @[simp, reassoc] theorem comp_right {X Y Z : Arrow T} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).right = f.right ≫ g.right := rfl @[simps] def mk {X Y : T} (f : X ⟶ Y) : Arrow T where left := X right := Y hom := f #align category_theory.arrow.mk CategoryTheory.Arrow.mk @[simp] theorem mk_eq (f : Arrow T) : Arrow.mk f.hom = f := by cases f rfl #align category_theory.arrow.mk_eq CategoryTheory.Arrow.mk_eq theorem mk_injective (A B : T) : Function.Injective (Arrow.mk : (A ⟶ B) → Arrow T) := fun f g h => by cases h rfl #align category_theory.arrow.mk_injective CategoryTheory.Arrow.mk_injective theorem mk_inj (A B : T) {f g : A ⟶ B} : Arrow.mk f = Arrow.mk g ↔ f = g := (mk_injective A B).eq_iff #align category_theory.arrow.mk_inj CategoryTheory.Arrow.mk_inj instance {X Y : T} : CoeOut (X ⟶ Y) (Arrow T) where coe := mk @[simps] def homMk {f g : Arrow T} {u : f.left ⟶ g.left} {v : f.right ⟶ g.right} (w : u ≫ g.hom = f.hom ≫ v) : f ⟶ g where left := u right := v w := w #align category_theory.arrow.hom_mk CategoryTheory.Arrow.homMk @[simps] def homMk' {X Y : T} {f : X ⟶ Y} {P Q : T} {g : P ⟶ Q} {u : X ⟶ P} {v : Y ⟶ Q} (w : u ≫ g = f ≫ v) : Arrow.mk f ⟶ Arrow.mk g where left := u right := v w := w #align category_theory.arrow.hom_mk' CategoryTheory.Arrow.homMk' @[reassoc (attr := simp, nolint simpNF)] theorem w {f g : Arrow T} (sq : f ⟶ g) : sq.left ≫ g.hom = f.hom ≫ sq.right := sq.w #align category_theory.arrow.w CategoryTheory.Arrow.w -- `w_mk_left` is not needed, as it is a consequence of `w` and `mk_hom`. @[reassoc (attr := simp)] theorem w_mk_right {f : Arrow T} {X Y : T} {g : X ⟶ Y} (sq : f ⟶ mk g) : sq.left ≫ g = f.hom ≫ sq.right := sq.w #align category_theory.arrow.w_mk_right CategoryTheory.Arrow.w_mk_right theorem isIso_of_isIso_left_of_isIso_right {f g : Arrow T} (ff : f ⟶ g) [IsIso ff.left] [IsIso ff.right] : IsIso ff where out := by let inverse : g ⟶ f := ⟨inv ff.left, inv ff.right, (by simp)⟩ apply Exists.intro inverse aesop_cat #align category_theory.arrow.is_iso_of_iso_left_of_is_iso_right CategoryTheory.Arrow.isIso_of_isIso_left_of_isIso_right @[simps!] def isoMk {f g : Arrow T} (l : f.left ≅ g.left) (r : f.right ≅ g.right) (h : l.hom ≫ g.hom = f.hom ≫ r.hom := by aesop_cat) : f ≅ g := Comma.isoMk l r h #align category_theory.arrow.iso_mk CategoryTheory.Arrow.isoMk abbrev isoMk' {W X Y Z : T} (f : W ⟶ X) (g : Y ⟶ Z) (e₁ : W ≅ Y) (e₂ : X ≅ Z) (h : e₁.hom ≫ g = f ≫ e₂.hom := by aesop_cat) : Arrow.mk f ≅ Arrow.mk g := Arrow.isoMk e₁ e₂ h #align category_theory.arrow.iso_mk' CategoryTheory.Arrow.isoMk' theorem hom.congr_left {f g : Arrow T} {φ₁ φ₂ : f ⟶ g} (h : φ₁ = φ₂) : φ₁.left = φ₂.left := by rw [h] #align category_theory.arrow.hom.congr_left CategoryTheory.Arrow.hom.congr_left @[simp] theorem hom.congr_right {f g : Arrow T} {φ₁ φ₂ : f ⟶ g} (h : φ₁ = φ₂) : φ₁.right = φ₂.right := by rw [h] #align category_theory.arrow.hom.congr_right CategoryTheory.Arrow.hom.congr_right
Mathlib/CategoryTheory/Comma/Arrow.lean
171
174
theorem iso_w {f g : Arrow T} (e : f ≅ g) : g.hom = e.inv.left ≫ f.hom ≫ e.hom.right := by
have eq := Arrow.hom.congr_right e.inv_hom_id rw [Arrow.comp_right, Arrow.id_right] at eq erw [Arrow.w_assoc, eq, Category.comp_id]
import Mathlib.RingTheory.Derivation.ToSquareZero import Mathlib.RingTheory.Ideal.Cotangent import Mathlib.RingTheory.IsTensorProduct import Mathlib.Algebra.Exact import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.Derivation #align_import ring_theory.kaehler from "leanprover-community/mathlib"@"4b92a463033b5587bb011657e25e4710bfca7364" suppress_compilation section KaehlerDifferential open scoped TensorProduct open Algebra universe u v variable (R : Type u) (S : Type v) [CommRing R] [CommRing S] [Algebra R S] abbrev KaehlerDifferential.ideal : Ideal (S ⊗[R] S) := RingHom.ker (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S) #align kaehler_differential.ideal KaehlerDifferential.ideal variable {S} theorem KaehlerDifferential.one_smul_sub_smul_one_mem_ideal (a : S) : (1 : S) ⊗ₜ[R] a - a ⊗ₜ[R] (1 : S) ∈ KaehlerDifferential.ideal R S := by simp [RingHom.mem_ker] #align kaehler_differential.one_smul_sub_smul_one_mem_ideal KaehlerDifferential.one_smul_sub_smul_one_mem_ideal variable {R} variable {M : Type*} [AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M] def Derivation.tensorProductTo (D : Derivation R S M) : S ⊗[R] S →ₗ[S] M := TensorProduct.AlgebraTensorModule.lift ((LinearMap.lsmul S (S →ₗ[R] M)).flip D.toLinearMap) #align derivation.tensor_product_to Derivation.tensorProductTo theorem Derivation.tensorProductTo_tmul (D : Derivation R S M) (s t : S) : D.tensorProductTo (s ⊗ₜ t) = s • D t := rfl #align derivation.tensor_product_to_tmul Derivation.tensorProductTo_tmul theorem Derivation.tensorProductTo_mul (D : Derivation R S M) (x y : S ⊗[R] S) : D.tensorProductTo (x * y) = TensorProduct.lmul' (S := S) R x • D.tensorProductTo y + TensorProduct.lmul' (S := S) R y • D.tensorProductTo x := by refine TensorProduct.induction_on x ?_ ?_ ?_ · rw [zero_mul, map_zero, map_zero, zero_smul, smul_zero, add_zero] swap · intro x₁ y₁ h₁ h₂ rw [add_mul, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm] intro x₁ x₂ refine TensorProduct.induction_on y ?_ ?_ ?_ · rw [mul_zero, map_zero, map_zero, zero_smul, smul_zero, add_zero] swap · intro x₁ y₁ h₁ h₂ rw [mul_add, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm] intro x y simp only [TensorProduct.tmul_mul_tmul, Derivation.tensorProductTo, TensorProduct.AlgebraTensorModule.lift_apply, TensorProduct.lift.tmul', TensorProduct.lmul'_apply_tmul] dsimp rw [D.leibniz] simp only [smul_smul, smul_add, mul_comm (x * y) x₁, mul_right_comm x₁ x₂, ← mul_assoc] #align derivation.tensor_product_to_mul Derivation.tensorProductTo_mul variable (R S) theorem KaehlerDifferential.submodule_span_range_eq_ideal : Submodule.span S (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) = (KaehlerDifferential.ideal R S).restrictScalars S := by apply le_antisymm · rw [Submodule.span_le] rintro _ ⟨s, rfl⟩ exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _ · rintro x (hx : _ = _) have : x - TensorProduct.lmul' (S := S) R x ⊗ₜ[R] (1 : S) = x := by rw [hx, TensorProduct.zero_tmul, sub_zero] rw [← this] clear this hx refine TensorProduct.induction_on x ?_ ?_ ?_ · rw [map_zero, TensorProduct.zero_tmul, sub_zero]; exact zero_mem _ · intro x y have : x ⊗ₜ[R] y - (x * y) ⊗ₜ[R] (1 : S) = x • ((1 : S) ⊗ₜ y - y ⊗ₜ (1 : S)) := by simp_rw [smul_sub, TensorProduct.smul_tmul', smul_eq_mul, mul_one] rw [TensorProduct.lmul'_apply_tmul, this] refine Submodule.smul_mem _ x ?_ apply Submodule.subset_span exact Set.mem_range_self y · intro x y hx hy rw [map_add, TensorProduct.add_tmul, ← sub_add_sub_comm] exact add_mem hx hy #align kaehler_differential.submodule_span_range_eq_ideal KaehlerDifferential.submodule_span_range_eq_ideal
Mathlib/RingTheory/Kaehler.lean
131
141
theorem KaehlerDifferential.span_range_eq_ideal : Ideal.span (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) = KaehlerDifferential.ideal R S := by
apply le_antisymm · rw [Ideal.span_le] rintro _ ⟨s, rfl⟩ exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _ · change (KaehlerDifferential.ideal R S).restrictScalars S ≤ (Ideal.span _).restrictScalars S rw [← KaehlerDifferential.submodule_span_range_eq_ideal, Ideal.span] conv_rhs => rw [← Submodule.span_span_of_tower S] exact Submodule.subset_span
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Calculus.FDeriv.Linear import Mathlib.Analysis.Calculus.FDeriv.Comp #align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee" open Filter Asymptotics ContinuousLinearMap Set Metric open scoped Classical open Topology NNReal Filter Asymptotics ENNReal noncomputable section section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E} namespace ContinuousLinearEquiv variable (iso : E ≃L[𝕜] F) @[fun_prop] protected theorem hasStrictFDerivAt : HasStrictFDerivAt iso (iso : E →L[𝕜] F) x := iso.toContinuousLinearMap.hasStrictFDerivAt #align continuous_linear_equiv.has_strict_fderiv_at ContinuousLinearEquiv.hasStrictFDerivAt @[fun_prop] protected theorem hasFDerivWithinAt : HasFDerivWithinAt iso (iso : E →L[𝕜] F) s x := iso.toContinuousLinearMap.hasFDerivWithinAt #align continuous_linear_equiv.has_fderiv_within_at ContinuousLinearEquiv.hasFDerivWithinAt @[fun_prop] protected theorem hasFDerivAt : HasFDerivAt iso (iso : E →L[𝕜] F) x := iso.toContinuousLinearMap.hasFDerivAtFilter #align continuous_linear_equiv.has_fderiv_at ContinuousLinearEquiv.hasFDerivAt @[fun_prop] protected theorem differentiableAt : DifferentiableAt 𝕜 iso x := iso.hasFDerivAt.differentiableAt #align continuous_linear_equiv.differentiable_at ContinuousLinearEquiv.differentiableAt @[fun_prop] protected theorem differentiableWithinAt : DifferentiableWithinAt 𝕜 iso s x := iso.differentiableAt.differentiableWithinAt #align continuous_linear_equiv.differentiable_within_at ContinuousLinearEquiv.differentiableWithinAt protected theorem fderiv : fderiv 𝕜 iso x = iso := iso.hasFDerivAt.fderiv #align continuous_linear_equiv.fderiv ContinuousLinearEquiv.fderiv protected theorem fderivWithin (hxs : UniqueDiffWithinAt 𝕜 s x) : fderivWithin 𝕜 iso s x = iso := iso.toContinuousLinearMap.fderivWithin hxs #align continuous_linear_equiv.fderiv_within ContinuousLinearEquiv.fderivWithin @[fun_prop] protected theorem differentiable : Differentiable 𝕜 iso := fun _ => iso.differentiableAt #align continuous_linear_equiv.differentiable ContinuousLinearEquiv.differentiable @[fun_prop] protected theorem differentiableOn : DifferentiableOn 𝕜 iso s := iso.differentiable.differentiableOn #align continuous_linear_equiv.differentiable_on ContinuousLinearEquiv.differentiableOn theorem comp_differentiableWithinAt_iff {f : G → E} {s : Set G} {x : G} : DifferentiableWithinAt 𝕜 (iso ∘ f) s x ↔ DifferentiableWithinAt 𝕜 f s x := by refine ⟨fun H => ?_, fun H => iso.differentiable.differentiableAt.comp_differentiableWithinAt x H⟩ have : DifferentiableWithinAt 𝕜 (iso.symm ∘ iso ∘ f) s x := iso.symm.differentiable.differentiableAt.comp_differentiableWithinAt x H rwa [← Function.comp.assoc iso.symm iso f, iso.symm_comp_self] at this #align continuous_linear_equiv.comp_differentiable_within_at_iff ContinuousLinearEquiv.comp_differentiableWithinAt_iff theorem comp_differentiableAt_iff {f : G → E} {x : G} : DifferentiableAt 𝕜 (iso ∘ f) x ↔ DifferentiableAt 𝕜 f x := by rw [← differentiableWithinAt_univ, ← differentiableWithinAt_univ, iso.comp_differentiableWithinAt_iff] #align continuous_linear_equiv.comp_differentiable_at_iff ContinuousLinearEquiv.comp_differentiableAt_iff theorem comp_differentiableOn_iff {f : G → E} {s : Set G} : DifferentiableOn 𝕜 (iso ∘ f) s ↔ DifferentiableOn 𝕜 f s := by rw [DifferentiableOn, DifferentiableOn] simp only [iso.comp_differentiableWithinAt_iff] #align continuous_linear_equiv.comp_differentiable_on_iff ContinuousLinearEquiv.comp_differentiableOn_iff theorem comp_differentiable_iff {f : G → E} : Differentiable 𝕜 (iso ∘ f) ↔ Differentiable 𝕜 f := by rw [← differentiableOn_univ, ← differentiableOn_univ] exact iso.comp_differentiableOn_iff #align continuous_linear_equiv.comp_differentiable_iff ContinuousLinearEquiv.comp_differentiable_iff theorem comp_hasFDerivWithinAt_iff {f : G → E} {s : Set G} {x : G} {f' : G →L[𝕜] E} : HasFDerivWithinAt (iso ∘ f) ((iso : E →L[𝕜] F).comp f') s x ↔ HasFDerivWithinAt f f' s x := by refine ⟨fun H => ?_, fun H => iso.hasFDerivAt.comp_hasFDerivWithinAt x H⟩ have A : f = iso.symm ∘ iso ∘ f := by rw [← Function.comp.assoc, iso.symm_comp_self] rfl have B : f' = (iso.symm : F →L[𝕜] E).comp ((iso : E →L[𝕜] F).comp f') := by rw [← ContinuousLinearMap.comp_assoc, iso.coe_symm_comp_coe, ContinuousLinearMap.id_comp] rw [A, B] exact iso.symm.hasFDerivAt.comp_hasFDerivWithinAt x H #align continuous_linear_equiv.comp_has_fderiv_within_at_iff ContinuousLinearEquiv.comp_hasFDerivWithinAt_iff
Mathlib/Analysis/Calculus/FDeriv/Equiv.lean
133
137
theorem comp_hasStrictFDerivAt_iff {f : G → E} {x : G} {f' : G →L[𝕜] E} : HasStrictFDerivAt (iso ∘ f) ((iso : E →L[𝕜] F).comp f') x ↔ HasStrictFDerivAt f f' x := by
refine ⟨fun H => ?_, fun H => iso.hasStrictFDerivAt.comp x H⟩ convert iso.symm.hasStrictFDerivAt.comp x H using 1 <;> ext z <;> apply (iso.symm_apply_apply _).symm
import Mathlib.RingTheory.Finiteness import Mathlib.LinearAlgebra.FreeModule.Basic #align_import linear_algebra.free_module.finite.basic from "leanprover-community/mathlib"@"59628387770d82eb6f6dd7b7107308aa2509ec95" universe u v w variable (R : Type u) (M : Type v) (N : Type w) namespace Module.Free section CommRing variable [CommRing R] [AddCommGroup M] [Module R M] [Module.Free R M] variable [AddCommGroup N] [Module R N] [Module.Free R N] variable {R}
Mathlib/LinearAlgebra/FreeModule/Finite/Basic.lean
53
58
theorem _root_.Module.Finite.of_basis {R M ι : Type*} [Semiring R] [AddCommMonoid M] [Module R M] [_root_.Finite ι] (b : Basis ι R M) : Module.Finite R M := by
cases nonempty_fintype ι classical refine ⟨⟨Finset.univ.image b, ?_⟩⟩ simp only [Set.image_univ, Finset.coe_univ, Finset.coe_image, Basis.span_eq]
import Mathlib.Data.Nat.Bits import Mathlib.Order.Lattice #align_import data.nat.size from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607" namespace Nat section set_option linter.deprecated false theorem shiftLeft_eq_mul_pow (m) : ∀ n, m <<< n = m * 2 ^ n := shiftLeft_eq _ #align nat.shiftl_eq_mul_pow Nat.shiftLeft_eq_mul_pow theorem shiftLeft'_tt_eq_mul_pow (m) : ∀ n, shiftLeft' true m n + 1 = (m + 1) * 2 ^ n | 0 => by simp [shiftLeft', pow_zero, Nat.one_mul] | k + 1 => by change bit1 (shiftLeft' true m k) + 1 = (m + 1) * (2 ^ k * 2) rw [bit1_val] change 2 * (shiftLeft' true m k + 1) = _ rw [shiftLeft'_tt_eq_mul_pow m k, mul_left_comm, mul_comm 2] #align nat.shiftl'_tt_eq_mul_pow Nat.shiftLeft'_tt_eq_mul_pow end #align nat.one_shiftl Nat.one_shiftLeft #align nat.zero_shiftl Nat.zero_shiftLeft #align nat.shiftr_eq_div_pow Nat.shiftRight_eq_div_pow theorem shiftLeft'_ne_zero_left (b) {m} (h : m ≠ 0) (n) : shiftLeft' b m n ≠ 0 := by induction n <;> simp [bit_ne_zero, shiftLeft', *] #align nat.shiftl'_ne_zero_left Nat.shiftLeft'_ne_zero_left theorem shiftLeft'_tt_ne_zero (m) : ∀ {n}, (n ≠ 0) → shiftLeft' true m n ≠ 0 | 0, h => absurd rfl h | succ _, _ => Nat.bit1_ne_zero _ #align nat.shiftl'_tt_ne_zero Nat.shiftLeft'_tt_ne_zero @[simp] theorem size_zero : size 0 = 0 := by simp [size] #align nat.size_zero Nat.size_zero @[simp] theorem size_bit {b n} (h : bit b n ≠ 0) : size (bit b n) = succ (size n) := by rw [size] conv => lhs rw [binaryRec] simp [h] rw [div2_bit] #align nat.size_bit Nat.size_bit section set_option linter.deprecated false @[simp] theorem size_bit0 {n} (h : n ≠ 0) : size (bit0 n) = succ (size n) := @size_bit false n (Nat.bit0_ne_zero h) #align nat.size_bit0 Nat.size_bit0 @[simp] theorem size_bit1 (n) : size (bit1 n) = succ (size n) := @size_bit true n (Nat.bit1_ne_zero n) #align nat.size_bit1 Nat.size_bit1 @[simp] theorem size_one : size 1 = 1 := show size (bit1 0) = 1 by rw [size_bit1, size_zero] #align nat.size_one Nat.size_one end @[simp]
Mathlib/Data/Nat/Size.lean
85
97
theorem size_shiftLeft' {b m n} (h : shiftLeft' b m n ≠ 0) : size (shiftLeft' b m n) = size m + n := by
induction' n with n IH <;> simp [shiftLeft'] at h ⊢ rw [size_bit h, Nat.add_succ] by_cases s0 : shiftLeft' b m n = 0 <;> [skip; rw [IH s0]] rw [s0] at h ⊢ cases b; · exact absurd rfl h have : shiftLeft' true m n + 1 = 1 := congr_arg (· + 1) s0 rw [shiftLeft'_tt_eq_mul_pow] at this obtain rfl := succ.inj (eq_one_of_dvd_one ⟨_, this.symm⟩) simp only [zero_add, one_mul] at this obtain rfl : n = 0 := not_ne_iff.1 fun hn ↦ ne_of_gt (Nat.one_lt_pow hn (by decide)) this rfl
import Mathlib.Topology.MetricSpace.Lipschitz import Mathlib.Analysis.SpecialFunctions.Pow.Continuity #align_import topology.metric_space.holder from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" variable {X Y Z : Type*} open Filter Set open NNReal ENNReal Topology section Emetric variable [PseudoEMetricSpace X] [PseudoEMetricSpace Y] [PseudoEMetricSpace Z] def HolderWith (C r : ℝ≥0) (f : X → Y) : Prop := ∀ x y, edist (f x) (f y) ≤ (C : ℝ≥0∞) * edist x y ^ (r : ℝ) #align holder_with HolderWith def HolderOnWith (C r : ℝ≥0) (f : X → Y) (s : Set X) : Prop := ∀ x ∈ s, ∀ y ∈ s, edist (f x) (f y) ≤ (C : ℝ≥0∞) * edist x y ^ (r : ℝ) #align holder_on_with HolderOnWith @[simp] theorem holderOnWith_empty (C r : ℝ≥0) (f : X → Y) : HolderOnWith C r f ∅ := fun _ hx => hx.elim #align holder_on_with_empty holderOnWith_empty @[simp] theorem holderOnWith_singleton (C r : ℝ≥0) (f : X → Y) (x : X) : HolderOnWith C r f {x} := by rintro a (rfl : a = x) b (rfl : b = a) rw [edist_self] exact zero_le _ #align holder_on_with_singleton holderOnWith_singleton theorem Set.Subsingleton.holderOnWith {s : Set X} (hs : s.Subsingleton) (C r : ℝ≥0) (f : X → Y) : HolderOnWith C r f s := hs.induction_on (holderOnWith_empty C r f) (holderOnWith_singleton C r f) #align set.subsingleton.holder_on_with Set.Subsingleton.holderOnWith theorem holderOnWith_univ {C r : ℝ≥0} {f : X → Y} : HolderOnWith C r f univ ↔ HolderWith C r f := by simp only [HolderOnWith, HolderWith, mem_univ, true_imp_iff] #align holder_on_with_univ holderOnWith_univ @[simp]
Mathlib/Topology/MetricSpace/Holder.lean
82
84
theorem holderOnWith_one {C : ℝ≥0} {f : X → Y} {s : Set X} : HolderOnWith C 1 f s ↔ LipschitzOnWith C f s := by
simp only [HolderOnWith, LipschitzOnWith, NNReal.coe_one, ENNReal.rpow_one]
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Data.Finset.Pointwise import Mathlib.Tactic.GCongr #align_import combinatorics.additive.pluennecke_ruzsa from "leanprover-community/mathlib"@"4aab2abced69a9e579b1e6dc2856ed3db48e2cbd" open Nat open NNRat Pointwise namespace Finset variable {α : Type*} [CommGroup α] [DecidableEq α] {A B C : Finset α} @[to_additive card_sub_mul_le_card_sub_mul_card_sub "**Ruzsa's triangle inequality**. Subtraction version."] theorem card_div_mul_le_card_div_mul_card_div (A B C : Finset α) : (A / C).card * B.card ≤ (A / B).card * (B / C).card := by rw [← card_product (A / B), ← mul_one ((A / B) ×ˢ (B / C)).card] refine card_mul_le_card_mul (fun b ac ↦ ac.1 * ac.2 = b) (fun x hx ↦ ?_) fun x _ ↦ card_le_one_iff.2 fun hu hv ↦ ((mem_bipartiteBelow _).1 hu).2.symm.trans ?_ obtain ⟨a, ha, c, hc, rfl⟩ := mem_div.1 hx refine card_le_card_of_inj_on (fun b ↦ (a / b, b / c)) (fun b hb ↦ ?_) fun b₁ _ b₂ _ h ↦ ?_ · rw [mem_bipartiteAbove] exact ⟨mk_mem_product (div_mem_div ha hb) (div_mem_div hb hc), div_mul_div_cancel' _ _ _⟩ · exact div_right_injective (Prod.ext_iff.1 h).1 · exact ((mem_bipartiteBelow _).1 hv).2 #align finset.card_div_mul_le_card_div_mul_card_div Finset.card_div_mul_le_card_div_mul_card_div #align finset.card_sub_mul_le_card_sub_mul_card_sub Finset.card_sub_mul_le_card_sub_mul_card_sub @[to_additive card_sub_mul_le_card_add_mul_card_add "**Ruzsa's triangle inequality**. Sub-add-add version."] theorem card_div_mul_le_card_mul_mul_card_mul (A B C : Finset α) : (A / C).card * B.card ≤ (A * B).card * (B * C).card := by rw [← div_inv_eq_mul, ← card_inv B, ← card_inv (B * C), mul_inv, ← div_eq_mul_inv] exact card_div_mul_le_card_div_mul_card_div _ _ _ #align finset.card_div_mul_le_card_mul_mul_card_mul Finset.card_div_mul_le_card_mul_mul_card_mul #align finset.card_sub_mul_le_card_add_mul_card_add Finset.card_sub_mul_le_card_add_mul_card_add @[to_additive card_add_mul_le_card_sub_mul_card_add "**Ruzsa's triangle inequality**. Add-sub-sub version."]
Mathlib/Combinatorics/Additive/PluenneckeRuzsa.lean
73
76
theorem card_mul_mul_le_card_div_mul_card_mul (A B C : Finset α) : (A * C).card * B.card ≤ (A / B).card * (B * C).card := by
rw [← div_inv_eq_mul, ← div_inv_eq_mul B] exact card_div_mul_le_card_div_mul_card_div _ _ _
import Mathlib.Analysis.Calculus.ContDiff.RCLike import Mathlib.MeasureTheory.Measure.Hausdorff #align_import topology.metric_space.hausdorff_dimension from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" open scoped MeasureTheory ENNReal NNReal Topology open MeasureTheory MeasureTheory.Measure Set TopologicalSpace FiniteDimensional Filter variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y] @[irreducible] noncomputable def dimH (s : Set X) : ℝ≥0∞ := by borelize X; exact ⨆ (d : ℝ≥0) (_ : @hausdorffMeasure X _ _ ⟨rfl⟩ d s = ∞), d set_option linter.uppercaseLean3 false in #align dimH dimH section Measurable variable [MeasurableSpace X] [BorelSpace X]
Mathlib/Topology/MetricSpace/HausdorffDimension.lean
110
111
theorem dimH_def (s : Set X) : dimH s = ⨆ (d : ℝ≥0) (_ : μH[d] s = ∞), (d : ℝ≥0∞) := by
borelize X; rw [dimH]
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Coxeter.Basic namespace CoxeterSystem open List Matrix Function Classical variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by rcases cs.wordProd_surjective w with ⟨ω, rfl⟩ use ω.length, ω noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w) local prefix:100 "ℓ" => cs.length theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by have := Nat.find_spec (cs.exists_word_with_prod w) tauto theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length := Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩ @[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le []) @[simp] theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h) rw [this, wordProd_nil] · rintro rfl exact cs.length_one @[simp] theorem length_inv (w : W) : ℓ (w⁻¹) = ℓ w := by apply Nat.le_antisymm · rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, hω] at this · rcases cs.exists_reduced_word w⁻¹ with ⟨ω, hω, h'ω⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, ← h'ω, hω, inv_inv] at this theorem length_mul_le (w₁ w₂ : W) : ℓ (w₁ * w₂) ≤ ℓ w₁ + ℓ w₂ := by rcases cs.exists_reduced_word w₁ with ⟨ω₁, hω₁, rfl⟩ rcases cs.exists_reduced_word w₂ with ⟨ω₂, hω₂, rfl⟩ have := cs.length_wordProd_le (ω₁ ++ ω₂) simpa [hω₁, hω₂, wordProd_append] using this theorem length_mul_ge_length_sub_length (w₁ w₂ : W) : ℓ w₁ - ℓ w₂ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add] using cs.length_mul_le (w₁ * w₂) w₂⁻¹ theorem length_mul_ge_length_sub_length' (w₁ w₂ : W) : ℓ w₂ - ℓ w₁ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add, add_comm] using cs.length_mul_le w₁⁻¹ (w₁ * w₂) theorem length_mul_ge_max (w₁ w₂ : W) : max (ℓ w₁ - ℓ w₂) (ℓ w₂ - ℓ w₁) ≤ ℓ (w₁ * w₂) := max_le_iff.mpr ⟨length_mul_ge_length_sub_length _ _ _, length_mul_ge_length_sub_length' _ _ _⟩ def lengthParity : W →* Multiplicative (ZMod 2) := cs.lift ⟨fun _ ↦ Multiplicative.ofAdd 1, by simp_rw [CoxeterMatrix.IsLiftable, ← ofAdd_add, (by decide : (1 + 1 : ZMod 2) = 0)] simp⟩ theorem lengthParity_simple (i : B): cs.lengthParity (s i) = Multiplicative.ofAdd 1 := cs.lift_apply_simple _ _ theorem lengthParity_comp_simple : cs.lengthParity ∘ cs.simple = fun _ ↦ Multiplicative.ofAdd 1 := funext cs.lengthParity_simple theorem lengthParity_eq_ofAdd_length (w : W) : cs.lengthParity w = Multiplicative.ofAdd (↑(ℓ w)) := by rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rw [← hω, wordProd, map_list_prod, List.map_map, lengthParity_comp_simple, map_const', prod_replicate, ← ofAdd_nsmul, nsmul_one]
Mathlib/GroupTheory/Coxeter/Length.lean
137
139
theorem length_mul_mod_two (w₁ w₂ : W) : ℓ (w₁ * w₂) % 2 = (ℓ w₁ + ℓ w₂) % 2 := by
rw [← ZMod.natCast_eq_natCast_iff', Nat.cast_add] simpa only [lengthParity_eq_ofAdd_length, ofAdd_add] using map_mul cs.lengthParity w₁ w₂
import Mathlib.Analysis.SpecialFunctions.ImproperIntegrals import Mathlib.Analysis.Calculus.ParametricIntegral import Mathlib.MeasureTheory.Measure.Haar.NormedSpace #align_import analysis.mellin_transform from "leanprover-community/mathlib"@"917c3c072e487b3cccdbfeff17e75b40e45f66cb" open MeasureTheory Set Filter Asymptotics TopologicalSpace open Real open Complex hiding exp log abs_of_nonneg open scoped Topology noncomputable section section Defs variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] def MellinConvergent (f : ℝ → E) (s : ℂ) : Prop := IntegrableOn (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) (Ioi 0) #align mellin_convergent MellinConvergent theorem MellinConvergent.const_smul {f : ℝ → E} {s : ℂ} (hf : MellinConvergent f s) {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [SMulCommClass ℂ 𝕜 E] (c : 𝕜) : MellinConvergent (fun t => c • f t) s := by simpa only [MellinConvergent, smul_comm] using hf.smul c #align mellin_convergent.const_smul MellinConvergent.const_smul theorem MellinConvergent.cpow_smul {f : ℝ → E} {s a : ℂ} : MellinConvergent (fun t => (t : ℂ) ^ a • f t) s ↔ MellinConvergent f (s + a) := by refine integrableOn_congr_fun (fun t ht => ?_) measurableSet_Ioi simp_rw [← sub_add_eq_add_sub, cpow_add _ _ (ofReal_ne_zero.2 <| ne_of_gt ht), mul_smul] #align mellin_convergent.cpow_smul MellinConvergent.cpow_smul nonrec theorem MellinConvergent.div_const {f : ℝ → ℂ} {s : ℂ} (hf : MellinConvergent f s) (a : ℂ) : MellinConvergent (fun t => f t / a) s := by simpa only [MellinConvergent, smul_eq_mul, ← mul_div_assoc] using hf.div_const a #align mellin_convergent.div_const MellinConvergent.div_const theorem MellinConvergent.comp_mul_left {f : ℝ → E} {s : ℂ} {a : ℝ} (ha : 0 < a) : MellinConvergent (fun t => f (a * t)) s ↔ MellinConvergent f s := by have := integrableOn_Ioi_comp_mul_left_iff (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) 0 ha rw [mul_zero] at this have h1 : EqOn (fun t : ℝ => (↑(a * t) : ℂ) ^ (s - 1) • f (a * t)) ((a : ℂ) ^ (s - 1) • fun t : ℝ => (t : ℂ) ^ (s - 1) • f (a * t)) (Ioi 0) := fun t ht ↦ by simp only [ofReal_mul, mul_cpow_ofReal_nonneg ha.le (le_of_lt ht), mul_smul, Pi.smul_apply] have h2 : (a : ℂ) ^ (s - 1) ≠ 0 := by rw [Ne, cpow_eq_zero_iff, not_and_or, ofReal_eq_zero] exact Or.inl ha.ne' rw [MellinConvergent, MellinConvergent, ← this, integrableOn_congr_fun h1 measurableSet_Ioi, IntegrableOn, IntegrableOn, integrable_smul_iff h2] #align mellin_convergent.comp_mul_left MellinConvergent.comp_mul_left theorem MellinConvergent.comp_rpow {f : ℝ → E} {s : ℂ} {a : ℝ} (ha : a ≠ 0) : MellinConvergent (fun t => f (t ^ a)) s ↔ MellinConvergent f (s / a) := by refine Iff.trans ?_ (integrableOn_Ioi_comp_rpow_iff' _ ha) rw [MellinConvergent] refine integrableOn_congr_fun (fun t ht => ?_) measurableSet_Ioi dsimp only [Pi.smul_apply] rw [← Complex.coe_smul (t ^ (a - 1)), ← mul_smul, ← cpow_mul_ofReal_nonneg (le_of_lt ht), ofReal_cpow (le_of_lt ht), ← cpow_add _ _ (ofReal_ne_zero.mpr (ne_of_gt ht)), ofReal_sub, ofReal_one, mul_sub, mul_div_cancel₀ _ (ofReal_ne_zero.mpr ha), mul_one, add_comm, ← add_sub_assoc, sub_add_cancel] #align mellin_convergent.comp_rpow MellinConvergent.comp_rpow def Complex.VerticalIntegrable (f : ℂ → E) (σ : ℝ) (μ : Measure ℝ := by volume_tac) : Prop := Integrable (fun (y : ℝ) ↦ f (σ + y * I)) μ def mellin (f : ℝ → E) (s : ℂ) : E := ∫ t : ℝ in Ioi 0, (t : ℂ) ^ (s - 1) • f t #align mellin mellin def mellinInv (σ : ℝ) (f : ℂ → E) (x : ℝ) : E := (1 / (2 * π)) • ∫ y : ℝ, (x : ℂ) ^ (-(σ + y * I)) • f (σ + y * I) -- next few lemmas don't require convergence of the Mellin transform (they are just 0 = 0 otherwise) theorem mellin_cpow_smul (f : ℝ → E) (s a : ℂ) : mellin (fun t => (t : ℂ) ^ a • f t) s = mellin f (s + a) := by refine setIntegral_congr measurableSet_Ioi fun t ht => ?_ simp_rw [← sub_add_eq_add_sub, cpow_add _ _ (ofReal_ne_zero.2 <| ne_of_gt ht), mul_smul] #align mellin_cpow_smul mellin_cpow_smul theorem mellin_const_smul (f : ℝ → E) (s : ℂ) {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [SMulCommClass ℂ 𝕜 E] (c : 𝕜) : mellin (fun t => c • f t) s = c • mellin f s := by simp only [mellin, smul_comm, integral_smul] #align mellin_const_smul mellin_const_smul
Mathlib/Analysis/MellinTransform.lean
117
118
theorem mellin_div_const (f : ℝ → ℂ) (s a : ℂ) : mellin (fun t => f t / a) s = mellin f s / a := by
simp_rw [mellin, smul_eq_mul, ← mul_div_assoc, integral_div]
import Mathlib.CategoryTheory.Idempotents.Basic import Mathlib.CategoryTheory.Preadditive.AdditiveFunctor import Mathlib.CategoryTheory.Equivalence #align_import category_theory.idempotents.karoubi from "leanprover-community/mathlib"@"200eda15d8ff5669854ff6bcc10aaf37cb70498f" noncomputable section open CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Limits BigOperators namespace CategoryTheory variable (C : Type*) [Category C] namespace Idempotents -- porting note (#5171): removed @[nolint has_nonempty_instance] structure Karoubi where X : C p : X ⟶ X idem : p ≫ p = p := by aesop_cat #align category_theory.idempotents.karoubi CategoryTheory.Idempotents.Karoubi namespace Karoubi variable {C} attribute [reassoc (attr := simp)] idem @[ext] theorem ext {P Q : Karoubi C} (h_X : P.X = Q.X) (h_p : P.p ≫ eqToHom h_X = eqToHom h_X ≫ Q.p) : P = Q := by cases P cases Q dsimp at h_X h_p subst h_X simpa only [mk.injEq, heq_eq_eq, true_and, eqToHom_refl, comp_id, id_comp] using h_p #align category_theory.idempotents.karoubi.ext CategoryTheory.Idempotents.Karoubi.ext @[ext] structure Hom (P Q : Karoubi C) where f : P.X ⟶ Q.X comm : f = P.p ≫ f ≫ Q.p := by aesop_cat #align category_theory.idempotents.karoubi.hom CategoryTheory.Idempotents.Karoubi.Hom instance [Preadditive C] (P Q : Karoubi C) : Inhabited (Hom P Q) := ⟨⟨0, by rw [zero_comp, comp_zero]⟩⟩ @[reassoc (attr := simp)] theorem p_comp {P Q : Karoubi C} (f : Hom P Q) : P.p ≫ f.f = f.f := by rw [f.comm, ← assoc, P.idem] #align category_theory.idempotents.karoubi.p_comp CategoryTheory.Idempotents.Karoubi.p_comp @[reassoc (attr := simp)] theorem comp_p {P Q : Karoubi C} (f : Hom P Q) : f.f ≫ Q.p = f.f := by rw [f.comm, assoc, assoc, Q.idem] #align category_theory.idempotents.karoubi.comp_p CategoryTheory.Idempotents.Karoubi.comp_p @[reassoc] theorem p_comm {P Q : Karoubi C} (f : Hom P Q) : P.p ≫ f.f = f.f ≫ Q.p := by rw [p_comp, comp_p] #align category_theory.idempotents.karoubi.p_comm CategoryTheory.Idempotents.Karoubi.p_comm theorem comp_proof {P Q R : Karoubi C} (g : Hom Q R) (f : Hom P Q) : f.f ≫ g.f = P.p ≫ (f.f ≫ g.f) ≫ R.p := by rw [assoc, comp_p, ← assoc, p_comp] #align category_theory.idempotents.karoubi.comp_proof CategoryTheory.Idempotents.Karoubi.comp_proof instance : Category (Karoubi C) where Hom := Karoubi.Hom id P := ⟨P.p, by repeat' rw [P.idem]⟩ comp f g := ⟨f.f ≫ g.f, Karoubi.comp_proof g f⟩ @[simp] theorem hom_ext_iff {P Q : Karoubi C} {f g : P ⟶ Q} : f = g ↔ f.f = g.f := by constructor · intro h rw [h] · apply Hom.ext #align category_theory.idempotents.karoubi.hom_ext CategoryTheory.Idempotents.Karoubi.hom_ext_iff -- Porting note: added because `Hom.ext` is not triggered automatically @[ext] theorem hom_ext {P Q : Karoubi C} (f g : P ⟶ Q) (h : f.f = g.f) : f = g := by simpa [hom_ext_iff] using h @[simp] theorem comp_f {P Q R : Karoubi C} (f : P ⟶ Q) (g : Q ⟶ R) : (f ≫ g).f = f.f ≫ g.f := rfl #align category_theory.idempotents.karoubi.comp_f CategoryTheory.Idempotents.Karoubi.comp_f @[simp] theorem id_eq {P : Karoubi C} : 𝟙 P = ⟨P.p, by repeat' rw [P.idem]⟩ := rfl #align category_theory.idempotents.karoubi.id_eq CategoryTheory.Idempotents.Karoubi.id_eq instance coe : CoeTC C (Karoubi C) := ⟨fun X => ⟨X, 𝟙 X, by rw [comp_id]⟩⟩ #align category_theory.idempotents.karoubi.coe CategoryTheory.Idempotents.Karoubi.coe -- Porting note: removed @[simp] as the linter complains theorem coe_X (X : C) : (X : Karoubi C).X = X := rfl set_option linter.uppercaseLean3 false in #align category_theory.idempotents.karoubi.coe_X CategoryTheory.Idempotents.Karoubi.coe_X @[simp] theorem coe_p (X : C) : (X : Karoubi C).p = 𝟙 X := rfl #align category_theory.idempotents.karoubi.coe_p CategoryTheory.Idempotents.Karoubi.coe_p @[simp]
Mathlib/CategoryTheory/Idempotents/Karoubi.lean
144
147
theorem eqToHom_f {P Q : Karoubi C} (h : P = Q) : Karoubi.Hom.f (eqToHom h) = P.p ≫ eqToHom (congr_arg Karoubi.X h) := by
subst h simp only [eqToHom_refl, Karoubi.id_eq, comp_id]
import Mathlib.Data.Matrix.Basis import Mathlib.Data.Matrix.DMatrix import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.Tactic.FieldSimp #align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6" universe u₁ u₂ namespace Matrix open Matrix variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜] variable [DecidableEq n] [DecidableEq p] variable [CommRing R] section Transvection variable {R n} (i j : n) def transvection (c : R) : Matrix n n R := 1 + Matrix.stdBasisMatrix i j c #align matrix.transvection Matrix.transvection @[simp] theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection] #align matrix.transvection_zero Matrix.transvection_zero section theorem updateRow_eq_transvection [Finite n] (c : R) : updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) = transvection i j c := by cases nonempty_fintype n ext a b by_cases ha : i = a · by_cases hb : j = b · simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same, one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply] · simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply, Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul, mul_zero, add_apply] · simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero, Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply, mul_zero, false_and_iff, add_apply] #align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection variable [Fintype n] theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) : transvection i j c * transvection i j d = transvection i j (c + d) := by simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc, stdBasisMatrix_add] #align matrix.transvection_mul_transvection_same Matrix.transvection_mul_transvection_same @[simp]
Mathlib/LinearAlgebra/Matrix/Transvection.lean
120
121
theorem transvection_mul_apply_same (b : n) (c : R) (M : Matrix n n R) : (transvection i j c * M) i b = M i b + c * M j b := by
simp [transvection, Matrix.add_mul]
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
Mathlib/FieldTheory/AbelRuffini.lean
82
93
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
import Mathlib.Topology.Algebra.Algebra import Mathlib.Analysis.InnerProductSpace.Basic #align_import analysis.inner_product_space.of_norm from "leanprover-community/mathlib"@"baa88307f3e699fa7054ef04ec79fa4f056169cb" open RCLike open scoped ComplexConjugate variable {𝕜 : Type*} [RCLike 𝕜] (E : Type*) [NormedAddCommGroup E] class InnerProductSpaceable : Prop where parallelogram_identity : ∀ x y : E, ‖x + y‖ * ‖x + y‖ + ‖x - y‖ * ‖x - y‖ = 2 * (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) #align inner_product_spaceable InnerProductSpaceable variable (𝕜) {E} theorem InnerProductSpace.toInnerProductSpaceable [InnerProductSpace 𝕜 E] : InnerProductSpaceable E := ⟨parallelogram_law_with_norm 𝕜⟩ #align inner_product_space.to_inner_product_spaceable InnerProductSpace.toInnerProductSpaceable -- See note [lower instance priority] instance (priority := 100) InnerProductSpace.toInnerProductSpaceable_ofReal [InnerProductSpace ℝ E] : InnerProductSpaceable E := ⟨parallelogram_law_with_norm ℝ⟩ #align inner_product_space.to_inner_product_spaceable_of_real InnerProductSpace.toInnerProductSpaceable_ofReal variable [NormedSpace 𝕜 E] local notation "𝓚" => algebraMap ℝ 𝕜 private noncomputable def inner_ (x y : E) : 𝕜 := 4⁻¹ * (𝓚 ‖x + y‖ * 𝓚 ‖x + y‖ - 𝓚 ‖x - y‖ * 𝓚 ‖x - y‖ + (I : 𝕜) * 𝓚 ‖(I : 𝕜) • x + y‖ * 𝓚 ‖(I : 𝕜) • x + y‖ - (I : 𝕜) * 𝓚 ‖(I : 𝕜) • x - y‖ * 𝓚 ‖(I : 𝕜) • x - y‖) namespace InnerProductSpaceable variable {𝕜} (E) -- Porting note: prime added to avoid clashing with public `innerProp` private def innerProp' (r : 𝕜) : Prop := ∀ x y : E, inner_ 𝕜 (r • x) y = conj r * inner_ 𝕜 x y variable {E} theorem innerProp_neg_one : innerProp' E ((-1 : ℤ) : 𝕜) := by intro x y simp only [inner_, neg_mul_eq_neg_mul, one_mul, Int.cast_one, one_smul, RingHom.map_one, map_neg, Int.cast_neg, neg_smul, neg_one_mul] rw [neg_mul_comm] congr 1 have h₁ : ‖-x - y‖ = ‖x + y‖ := by rw [← neg_add', norm_neg] have h₂ : ‖-x + y‖ = ‖x - y‖ := by rw [← neg_sub, norm_neg, sub_eq_neg_add] have h₃ : ‖(I : 𝕜) • -x + y‖ = ‖(I : 𝕜) • x - y‖ := by rw [← neg_sub, norm_neg, sub_eq_neg_add, ← smul_neg] have h₄ : ‖(I : 𝕜) • -x - y‖ = ‖(I : 𝕜) • x + y‖ := by rw [smul_neg, ← neg_add', norm_neg] rw [h₁, h₂, h₃, h₄] ring #align inner_product_spaceable.inner_prop_neg_one InnerProductSpaceable.innerProp_neg_one theorem _root_.Continuous.inner_ {f g : ℝ → E} (hf : Continuous f) (hg : Continuous g) : Continuous fun x => inner_ 𝕜 (f x) (g x) := by unfold inner_ have := Continuous.const_smul (M := 𝕜) hf I continuity #align inner_product_spaceable.continuous.inner_ Continuous.inner_
Mathlib/Analysis/InnerProductSpace/OfNorm.lean
127
136
theorem inner_.norm_sq (x : E) : ‖x‖ ^ 2 = re (inner_ 𝕜 x x) := by
simp only [inner_] have h₁ : RCLike.normSq (4 : 𝕜) = 16 := by have : ((4 : ℝ) : 𝕜) = (4 : 𝕜) := by norm_cast rw [← this, normSq_eq_def', RCLike.norm_of_nonneg (by norm_num : (0 : ℝ) ≤ 4)] norm_num have h₂ : ‖x + x‖ = 2 * ‖x‖ := by rw [← two_smul 𝕜, norm_smul, RCLike.norm_two] simp only [h₁, h₂, algebraMap_eq_ofReal, sub_self, norm_zero, mul_re, inv_re, ofNat_re, map_sub, map_add, ofReal_re, ofNat_im, ofReal_im, mul_im, I_re, inv_im] ring
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
Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean
84
91
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
import Mathlib.Data.Finset.Prod import Mathlib.Data.Sym.Basic import Mathlib.Data.Sym.Sym2.Init import Mathlib.Data.SetLike.Basic #align_import data.sym.sym2 from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" assert_not_exists MonoidWithZero open Finset Function Sym universe u variable {α β γ : Type*} namespace Sym2 @[aesop (rule_sets := [Sym2]) [safe [constructors, cases], norm]] inductive Rel (α : Type u) : α × α → α × α → Prop | refl (x y : α) : Rel _ (x, y) (x, y) | swap (x y : α) : Rel _ (x, y) (y, x) #align sym2.rel Sym2.Rel #align sym2.rel.refl Sym2.Rel.refl #align sym2.rel.swap Sym2.Rel.swap attribute [refl] Rel.refl @[symm] theorem Rel.symm {x y : α × α} : Rel α x y → Rel α y x := by aesop (rule_sets := [Sym2]) #align sym2.rel.symm Sym2.Rel.symm @[trans] theorem Rel.trans {x y z : α × α} (a : Rel α x y) (b : Rel α y z) : Rel α x z := by aesop (rule_sets := [Sym2]) #align sym2.rel.trans Sym2.Rel.trans theorem Rel.is_equivalence : Equivalence (Rel α) := { refl := fun (x, y) ↦ Rel.refl x y, symm := Rel.symm, trans := Rel.trans } #align sym2.rel.is_equivalence Sym2.Rel.is_equivalence def Rel.setoid (α : Type u) : Setoid (α × α) := ⟨Rel α, Rel.is_equivalence⟩ #align sym2.rel.setoid Sym2.Rel.setoid @[simp] theorem rel_iff' {p q : α × α} : Rel α p q ↔ p = q ∨ p = q.swap := by aesop (rule_sets := [Sym2])
Mathlib/Data/Sym/Sym2.lean
91
92
theorem rel_iff {x y z w : α} : Rel α (x, y) (z, w) ↔ x = z ∧ y = w ∨ x = w ∧ y = z := by
simp
import Mathlib.Algebra.Group.Pi.Lemmas import Mathlib.Algebra.Group.Support #align_import algebra.indicator_function from "leanprover-community/mathlib"@"2445c98ae4b87eabebdde552593519b9b6dc350c" assert_not_exists MonoidWithZero open Function variable {α β ι M N : Type*} namespace Set section One variable [One M] [One N] {s t : Set α} {f g : α → M} {a : α} @[to_additive "`Set.indicator s f a` is `f a` if `a ∈ s`, `0` otherwise."] noncomputable def mulIndicator (s : Set α) (f : α → M) (x : α) : M := haveI := Classical.decPred (· ∈ s) if x ∈ s then f x else 1 #align set.mul_indicator Set.mulIndicator @[to_additive (attr := simp)] theorem piecewise_eq_mulIndicator [DecidablePred (· ∈ s)] : s.piecewise f 1 = s.mulIndicator f := funext fun _ => @if_congr _ _ _ _ (id _) _ _ _ _ Iff.rfl rfl rfl #align set.piecewise_eq_mul_indicator Set.piecewise_eq_mulIndicator #align set.piecewise_eq_indicator Set.piecewise_eq_indicator -- Porting note: needed unfold for mulIndicator @[to_additive]
Mathlib/Algebra/Group/Indicator.lean
61
64
theorem mulIndicator_apply (s : Set α) (f : α → M) (a : α) [Decidable (a ∈ s)] : mulIndicator s f a = if a ∈ s then f a else 1 := by
unfold mulIndicator congr
import Mathlib.MeasureTheory.Measure.Content import Mathlib.MeasureTheory.Group.Prod import Mathlib.Topology.Algebra.Group.Compact #align_import measure_theory.measure.haar.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set Inv Function TopologicalSpace MeasurableSpace open scoped NNReal Classical ENNReal Pointwise Topology namespace MeasureTheory namespace Measure section Group variable {G : Type*} [Group G] namespace haar -- Porting note: Even in `noncomputable section`, a definition with `to_additive` require -- `noncomputable` to generate an additive definition. -- Please refer to leanprover/lean4#2077. @[to_additive addIndex "additive version of `MeasureTheory.Measure.haar.index`"] noncomputable def index (K V : Set G) : ℕ := sInf <| Finset.card '' { t : Finset G | K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V } #align measure_theory.measure.haar.index MeasureTheory.Measure.haar.index #align measure_theory.measure.haar.add_index MeasureTheory.Measure.haar.addIndex @[to_additive addIndex_empty] theorem index_empty {V : Set G} : index ∅ V = 0 := by simp only [index, Nat.sInf_eq_zero]; left; use ∅ simp only [Finset.card_empty, empty_subset, mem_setOf_eq, eq_self_iff_true, and_self_iff] #align measure_theory.measure.haar.index_empty MeasureTheory.Measure.haar.index_empty #align measure_theory.measure.haar.add_index_empty MeasureTheory.Measure.haar.addIndex_empty variable [TopologicalSpace G] @[to_additive "additive version of `MeasureTheory.Measure.haar.prehaar`"] noncomputable def prehaar (K₀ U : Set G) (K : Compacts G) : ℝ := (index (K : Set G) U : ℝ) / index K₀ U #align measure_theory.measure.haar.prehaar MeasureTheory.Measure.haar.prehaar #align measure_theory.measure.haar.add_prehaar MeasureTheory.Measure.haar.addPrehaar @[to_additive]
Mathlib/MeasureTheory/Measure/Haar/Basic.lean
122
123
theorem prehaar_empty (K₀ : PositiveCompacts G) {U : Set G} : prehaar (K₀ : Set G) U ⊥ = 0 := by
rw [prehaar, Compacts.coe_bot, index_empty, Nat.cast_zero, zero_div]
import Mathlib.RingTheory.Polynomial.Hermite.Basic import Mathlib.Analysis.Calculus.Deriv.Add import Mathlib.Analysis.Calculus.Deriv.Polynomial import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import ring_theory.polynomial.hermite.gaussian from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open Polynomial namespace Polynomial theorem deriv_gaussian_eq_hermite_mul_gaussian (n : ℕ) (x : ℝ) : deriv^[n] (fun y => Real.exp (-(y ^ 2 / 2))) x = (-1 : ℝ) ^ n * aeval x (hermite n) * Real.exp (-(x ^ 2 / 2)) := by rw [mul_assoc] induction' n with n ih generalizing x · rw [Function.iterate_zero_apply, pow_zero, one_mul, hermite_zero, C_1, map_one, one_mul] · replace ih : deriv^[n] _ = _ := _root_.funext ih have deriv_gaussian : deriv (fun y => Real.exp (-(y ^ 2 / 2))) x = -x * Real.exp (-(x ^ 2 / 2)) := by -- porting note (#10745): was `simp [mul_comm, ← neg_mul]` rw [deriv_exp (by simp)]; simp; ring rw [Function.iterate_succ_apply', ih, deriv_const_mul_field, deriv_mul, pow_succ (-1 : ℝ), deriv_gaussian, hermite_succ, map_sub, map_mul, aeval_X, Polynomial.deriv_aeval] · ring · apply Polynomial.differentiable_aeval · apply DifferentiableAt.exp; simp -- Porting note: was just `simp` #align polynomial.deriv_gaussian_eq_hermite_mul_gaussian Polynomial.deriv_gaussian_eq_hermite_mul_gaussian theorem hermite_eq_deriv_gaussian (n : ℕ) (x : ℝ) : aeval x (hermite n) = (-1 : ℝ) ^ n * deriv^[n] (fun y => Real.exp (-(y ^ 2 / 2))) x / Real.exp (-(x ^ 2 / 2)) := by rw [deriv_gaussian_eq_hermite_mul_gaussian] field_simp [Real.exp_ne_zero] rw [← @smul_eq_mul ℝ _ ((-1) ^ n), ← inv_smul_eq_iff₀, mul_assoc, smul_eq_mul, ← inv_pow, ← neg_inv, inv_one] exact pow_ne_zero _ (by norm_num) #align polynomial.hermite_eq_deriv_gaussian Polynomial.hermite_eq_deriv_gaussian
Mathlib/RingTheory/Polynomial/Hermite/Gaussian.lean
67
70
theorem hermite_eq_deriv_gaussian' (n : ℕ) (x : ℝ) : aeval x (hermite n) = (-1 : ℝ) ^ n * deriv^[n] (fun y => Real.exp (-(y ^ 2 / 2))) x * Real.exp (x ^ 2 / 2) := by
rw [hermite_eq_deriv_gaussian, Real.exp_neg] field_simp [Real.exp_ne_zero]
import Mathlib.Algebra.Regular.Basic import Mathlib.LinearAlgebra.Matrix.MvPolynomial import Mathlib.LinearAlgebra.Matrix.Polynomial import Mathlib.RingTheory.Polynomial.Basic #align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a" namespace Matrix universe u v w variable {m : Type u} {n : Type v} {α : Type w} variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α] open Matrix Polynomial Equiv Equiv.Perm Finset section Cramer variable (A : Matrix n n α) (b : n → α) def cramerMap (i : n) : α := (A.updateColumn i b).det #align matrix.cramer_map Matrix.cramerMap theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i := { map_add := det_updateColumn_add _ _ map_smul := det_updateColumn_smul _ _ } #align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by constructor <;> intros <;> ext i · apply (cramerMap_is_linear A i).1 · apply (cramerMap_is_linear A i).2 #align matrix.cramer_is_linear Matrix.cramer_is_linear def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) := IsLinearMap.mk' (cramerMap A) (cramer_is_linear A) #align matrix.cramer Matrix.cramer theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det := rfl #align matrix.cramer_apply Matrix.cramer_apply theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by rw [cramer_apply, updateColumn_transpose, det_transpose] #align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by ext j rw [cramer_apply, Pi.single_apply] split_ifs with h · -- i = j: this entry should be `A.det` subst h simp only [updateColumn_transpose, det_transpose, updateRow_eq_self] · -- i ≠ j: this entry should be 0 rw [updateColumn_transpose, det_transpose] apply det_zero_of_row_eq h rw [updateRow_self, updateRow_ne (Ne.symm h)] #align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by rw [← transpose_transpose A, det_transpose] convert cramer_transpose_row_self Aᵀ i exact funext h #align matrix.cramer_row_self Matrix.cramer_row_self @[simp] theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by -- Porting note: was `ext i j` refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_))) convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j · simp · intro j rw [Matrix.one_eq_pi_single, Pi.single_comm] #align matrix.cramer_one Matrix.cramer_one theorem cramer_smul (r : α) (A : Matrix n n α) : cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A := LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _ #align matrix.cramer_smul Matrix.cramer_smul @[simp] theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) : cramer A b i = b i := by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self] #align matrix.cramer_subsingleton_apply Matrix.cramer_subsingleton_apply theorem cramer_zero [Nontrivial n] : cramer (0 : Matrix n n α) = 0 := by ext i j obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j apply det_eq_zero_of_column_eq_zero j' intro j'' simp [updateColumn_ne hj'] #align matrix.cramer_zero Matrix.cramer_zero theorem sum_cramer {β} (s : Finset β) (f : β → n → α) : (∑ x ∈ s, cramer A (f x)) = cramer A (∑ x ∈ s, f x) := (map_sum (cramer A) ..).symm #align matrix.sum_cramer Matrix.sum_cramer theorem sum_cramer_apply {β} (s : Finset β) (f : n → β → α) (i : n) : (∑ x ∈ s, cramer A (fun j => f j x) i) = cramer A (fun j : n => ∑ x ∈ s, f j x) i := calc (∑ x ∈ s, cramer A (fun j => f j x) i) = (∑ x ∈ s, cramer A fun j => f j x) i := (Finset.sum_apply i s _).symm _ = cramer A (fun j : n => ∑ x ∈ s, f j x) i := by rw [sum_cramer, cramer_apply, cramer_apply] simp only [updateColumn] congr with j congr apply Finset.sum_apply #align matrix.sum_cramer_apply Matrix.sum_cramer_apply
Mathlib/LinearAlgebra/Matrix/Adjugate.lean
173
177
theorem cramer_submatrix_equiv (A : Matrix m m α) (e : n ≃ m) (b : n → α) : cramer (A.submatrix e e) b = cramer A (b ∘ e.symm) ∘ e := by
ext i simp_rw [Function.comp_apply, cramer_apply, updateColumn_submatrix_equiv, det_submatrix_equiv_self e, Function.comp]
import Mathlib.NumberTheory.ModularForms.JacobiTheta.TwoVariable import Mathlib.Analysis.Complex.UpperHalfPlane.Basic #align_import number_theory.modular_forms.jacobi_theta.basic from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf" open Complex Real Asymptotics Filter Topology open scoped Real UpperHalfPlane noncomputable def jacobiTheta (τ : ℂ) : ℂ := ∑' n : ℤ, cexp (π * I * (n : ℂ) ^ 2 * τ) #align jacobi_theta jacobiTheta lemma jacobiTheta_eq_jacobiTheta₂ (τ : ℂ) : jacobiTheta τ = jacobiTheta₂ 0 τ := tsum_congr (by simp [jacobiTheta₂_term])
Mathlib/NumberTheory/ModularForms/JacobiTheta/OneVariable.lean
33
34
theorem jacobiTheta_two_add (τ : ℂ) : jacobiTheta (2 + τ) = jacobiTheta τ := by
simp_rw [jacobiTheta_eq_jacobiTheta₂, add_comm, jacobiTheta₂_add_right]
import Mathlib.Data.List.Basic #align_import data.list.join from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607" -- Make sure we don't import algebra assert_not_exists Monoid variable {α β : Type*} namespace List attribute [simp] join -- Porting note (#10618): simp can prove this -- @[simp] theorem join_singleton (l : List α) : [l].join = l := by rw [join, join, append_nil] #align list.join_singleton List.join_singleton @[simp] theorem join_eq_nil : ∀ {L : List (List α)}, join L = [] ↔ ∀ l ∈ L, l = [] | [] => iff_of_true rfl (forall_mem_nil _) | l :: L => by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons] #align list.join_eq_nil List.join_eq_nil @[simp] theorem join_append (L₁ L₂ : List (List α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ := by induction L₁ · rfl · simp [*] #align list.join_append List.join_append theorem join_concat (L : List (List α)) (l : List α) : join (L.concat l) = join L ++ l := by simp #align list.join_concat List.join_concat @[simp] theorem join_filter_not_isEmpty : ∀ {L : List (List α)}, join (L.filter fun l => !l.isEmpty) = L.join | [] => rfl | [] :: L => by simp [join_filter_not_isEmpty (L := L), isEmpty_iff_eq_nil] | (a :: l) :: L => by simp [join_filter_not_isEmpty (L := L)] #align list.join_filter_empty_eq_ff List.join_filter_not_isEmpty @[deprecated (since := "2024-02-25")] alias join_filter_isEmpty_eq_false := join_filter_not_isEmpty @[simp] theorem join_filter_ne_nil [DecidablePred fun l : List α => l ≠ []] {L : List (List α)} : join (L.filter fun l => l ≠ []) = L.join := by simp [join_filter_not_isEmpty, ← isEmpty_iff_eq_nil] #align list.join_filter_ne_nil List.join_filter_ne_nil theorem join_join (l : List (List (List α))) : l.join.join = (l.map join).join := by induction l <;> simp [*] #align list.join_join List.join_join lemma length_join' (L : List (List α)) : length (join L) = Nat.sum (map length L) := by induction L <;> [rfl; simp only [*, join, map, Nat.sum_cons, length_append]] lemma countP_join' (p : α → Bool) : ∀ L : List (List α), countP p L.join = Nat.sum (L.map (countP p)) | [] => rfl | a :: l => by rw [join, countP_append, map_cons, Nat.sum_cons, countP_join' _ l] lemma count_join' [BEq α] (L : List (List α)) (a : α) : L.join.count a = Nat.sum (L.map (count a)) := countP_join' _ _ lemma length_bind' (l : List α) (f : α → List β) : length (l.bind f) = Nat.sum (map (length ∘ f) l) := by rw [List.bind, length_join', map_map] lemma countP_bind' (p : β → Bool) (l : List α) (f : α → List β) : countP p (l.bind f) = Nat.sum (map (countP p ∘ f) l) := by rw [List.bind, countP_join', map_map] lemma count_bind' [BEq β] (l : List α) (f : α → List β) (x : β) : count x (l.bind f) = Nat.sum (map (count x ∘ f) l) := countP_bind' _ _ _ @[simp] theorem bind_eq_nil {l : List α} {f : α → List β} : List.bind l f = [] ↔ ∀ x ∈ l, f x = [] := join_eq_nil.trans <| by simp only [mem_map, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] #align list.bind_eq_nil List.bind_eq_nil theorem take_sum_join' (L : List (List α)) (i : ℕ) : L.join.take (Nat.sum ((L.map length).take i)) = (L.take i).join := by induction L generalizing i · simp · cases i <;> simp [take_append, *] theorem drop_sum_join' (L : List (List α)) (i : ℕ) : L.join.drop (Nat.sum ((L.map length).take i)) = (L.drop i).join := by induction L generalizing i · simp · cases i <;> simp [drop_append, *] theorem drop_take_succ_eq_cons_get (L : List α) (i : Fin L.length) : (L.take (i + 1)).drop i = [get L i] := by induction' L with head tail ih · exact (Nat.not_succ_le_zero i i.isLt).elim rcases i with ⟨_ | i, hi⟩ · simp · simpa using ih ⟨i, Nat.lt_of_succ_lt_succ hi⟩ set_option linter.deprecated false in @[deprecated drop_take_succ_eq_cons_get (since := "2023-01-10")]
Mathlib/Data/List/Join.lean
135
145
theorem drop_take_succ_eq_cons_nthLe (L : List α) {i : ℕ} (hi : i < L.length) : (L.take (i + 1)).drop i = [nthLe L i hi] := by
induction' L with head tail generalizing i · simp only [length] at hi exact (Nat.not_succ_le_zero i hi).elim cases' i with i hi · simp rfl have : i < tail.length := by simpa using hi simp [*] rfl
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Algebra.InfiniteSum.Real #align_import analysis.normed.field.infinite_sum from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" variable {R : Type*} {ι : Type*} {ι' : Type*} [NormedRing R] open scoped Classical open Finset theorem Summable.mul_of_nonneg {f : ι → ℝ} {g : ι' → ℝ} (hf : Summable f) (hg : Summable g) (hf' : 0 ≤ f) (hg' : 0 ≤ g) : Summable fun x : ι × ι' => f x.1 * g x.2 := (summable_prod_of_nonneg fun _ ↦ mul_nonneg (hf' _) (hg' _)).2 ⟨fun x ↦ hg.mul_left (f x), by simpa only [hg.tsum_mul_left _] using hf.mul_right (∑' x, g x)⟩ #align summable.mul_of_nonneg Summable.mul_of_nonneg theorem Summable.mul_norm {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => ‖f x.1 * g x.2‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun x => norm_mul_le (f x.1) (g x.2)) (hf.mul_of_nonneg hg (fun x => norm_nonneg <| f x) fun x => norm_nonneg <| g x : _) #align summable.mul_norm Summable.mul_norm theorem summable_mul_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => f x.1 * g x.2 := (hf.mul_norm hg).of_norm #align summable_mul_of_summable_norm summable_mul_of_summable_norm theorem tsum_mul_tsum_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' x, f x) * ∑' y, g y) = ∑' z : ι × ι', f z.1 * g z.2 := tsum_mul_tsum hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_of_summable_norm tsum_mul_tsum_of_summable_norm section Nat open Finset.Nat theorem summable_norm_sum_mul_antidiagonal_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ := by have := summable_sum_mul_antidiagonal_of_summable_mul (Summable.mul_of_nonneg hf hg (fun _ => norm_nonneg _) fun _ => norm_nonneg _) refine this.of_nonneg_of_le (fun _ => norm_nonneg _) (fun n ↦ ?_) calc ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1 * g kl.2‖ := norm_sum_le _ _ _ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1‖ * ‖g kl.2‖ := by gcongr; apply norm_mul_le #align summable_norm_sum_mul_antidiagonal_of_summable_norm summable_norm_sum_mul_antidiagonal_of_summable_norm theorem tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm [CompleteSpace R] {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' n, f n) * ∑' n, g n) = ∑' n, ∑ kl ∈ antidiagonal n, f kl.1 * g kl.2 := tsum_mul_tsum_eq_tsum_sum_antidiagonal hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm
Mathlib/Analysis/Normed/Field/InfiniteSum.lean
96
99
theorem summable_norm_sum_mul_range_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ k ∈ range (n + 1), f k * g (n - k)‖ := by
simp_rw [← sum_antidiagonal_eq_sum_range_succ fun k l => f k * g l] exact summable_norm_sum_mul_antidiagonal_of_summable_norm hf hg
import Mathlib.MeasureTheory.Integral.Lebesgue open Set hiding restrict restrict_apply open Filter ENNReal NNReal MeasureTheory.Measure namespace MeasureTheory variable {α : Type*} {m0 : MeasurableSpace α} {μ : Measure α} noncomputable def Measure.withDensity {m : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : Measure α := Measure.ofMeasurable (fun s _ => ∫⁻ a in s, f a ∂μ) (by simp) fun s hs hd => lintegral_iUnion hs hd _ #align measure_theory.measure.with_density MeasureTheory.Measure.withDensity @[simp] theorem withDensity_apply (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) : μ.withDensity f s = ∫⁻ a in s, f a ∂μ := Measure.ofMeasurable_apply s hs #align measure_theory.with_density_apply MeasureTheory.withDensity_apply theorem withDensity_apply_le (f : α → ℝ≥0∞) (s : Set α) : ∫⁻ a in s, f a ∂μ ≤ μ.withDensity f s := by let t := toMeasurable (μ.withDensity f) s calc ∫⁻ a in s, f a ∂μ ≤ ∫⁻ a in t, f a ∂μ := lintegral_mono_set (subset_toMeasurable (withDensity μ f) s) _ = μ.withDensity f t := (withDensity_apply f (measurableSet_toMeasurable (withDensity μ f) s)).symm _ = μ.withDensity f s := measure_toMeasurable s
Mathlib/MeasureTheory/Measure/WithDensity.lean
68
75
theorem withDensity_apply' [SFinite μ] (f : α → ℝ≥0∞) (s : Set α) : μ.withDensity f s = ∫⁻ a in s, f a ∂μ := by
apply le_antisymm ?_ (withDensity_apply_le f s) let t := toMeasurable μ s calc μ.withDensity f s ≤ μ.withDensity f t := measure_mono (subset_toMeasurable μ s) _ = ∫⁻ a in t, f a ∂μ := withDensity_apply f (measurableSet_toMeasurable μ s) _ = ∫⁻ a in s, f a ∂μ := by congr 1; exact restrict_toMeasurable_of_sFinite s
import Mathlib.Algebra.CharP.Invertible import Mathlib.Data.Real.Sqrt import Mathlib.Tactic.Polyrith #align_import algebra.star.chsh from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004" universe u --@[nolint has_nonempty_instance] Porting note(#5171): linter not ported yet structure IsCHSHTuple {R} [Monoid R] [StarMul R] (A₀ A₁ B₀ B₁ : R) : Prop where A₀_inv : A₀ ^ 2 = 1 A₁_inv : A₁ ^ 2 = 1 B₀_inv : B₀ ^ 2 = 1 B₁_inv : B₁ ^ 2 = 1 A₀_sa : star A₀ = A₀ A₁_sa : star A₁ = A₁ B₀_sa : star B₀ = B₀ B₁_sa : star B₁ = B₁ A₀B₀_commutes : A₀ * B₀ = B₀ * A₀ A₀B₁_commutes : A₀ * B₁ = B₁ * A₀ A₁B₀_commutes : A₁ * B₀ = B₀ * A₁ A₁B₁_commutes : A₁ * B₁ = B₁ * A₁ set_option linter.uppercaseLean3 false in #align is_CHSH_tuple IsCHSHTuple variable {R : Type u} theorem CHSH_id [CommRing R] {A₀ A₁ B₀ B₁ : R} (A₀_inv : A₀ ^ 2 = 1) (A₁_inv : A₁ ^ 2 = 1) (B₀_inv : B₀ ^ 2 = 1) (B₁_inv : B₁ ^ 2 = 1) : (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) = 4 * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) := by -- polyrith suggests: linear_combination (2 * B₀ * B₁ + 2) * A₀_inv + (B₀ ^ 2 - 2 * B₀ * B₁ + B₁ ^ 2) * A₁_inv + (A₀ ^ 2 + 2 * A₀ * A₁ + 1) * B₀_inv + (A₀ ^ 2 - 2 * A₀ * A₁ + 1) * B₁_inv set_option linter.uppercaseLean3 false in #align CHSH_id CHSH_id theorem CHSH_inequality_of_comm [OrderedCommRing R] [StarRing R] [StarOrderedRing R] [Algebra ℝ R] [OrderedSMul ℝ R] (A₀ A₁ B₀ B₁ : R) (T : IsCHSHTuple A₀ A₁ B₀ B₁) : A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2 := by let P := 2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁ have i₁ : 0 ≤ P := by have idem : P * P = 4 * P := CHSH_id T.A₀_inv T.A₁_inv T.B₀_inv T.B₁_inv have idem' : P = (1 / 4 : ℝ) • (P * P) := by have h : 4 * P = (4 : ℝ) • P := by simp [Algebra.smul_def] rw [idem, h, ← mul_smul] norm_num have sa : star P = P := by dsimp [P] simp only [star_add, star_sub, star_mul, star_ofNat, star_one, T.A₀_sa, T.A₁_sa, T.B₀_sa, T.B₁_sa, mul_comm B₀, mul_comm B₁] simpa only [← idem', sa] using smul_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 4) (star_mul_self_nonneg P) apply le_of_sub_nonneg simpa only [sub_add_eq_sub_sub, ← sub_add] using i₁ set_option linter.uppercaseLean3 false in #align CHSH_inequality_of_comm CHSH_inequality_of_comm namespace TsirelsonInequality -- This calculation, which we need for Tsirelson's bound, -- defeated me. Thanks for the rescue from Shing Tak Lam!
Mathlib/Algebra/Star/CHSH.lean
158
162
theorem tsirelson_inequality_aux : √2 * √2 ^ 3 = √2 * (2 * (√2)⁻¹ + 4 * ((√2)⁻¹ * 2⁻¹)) := by
ring_nf rw [mul_inv_cancel (ne_of_gt (Real.sqrt_pos.2 (show (2 : ℝ) > 0 by norm_num)))] convert congr_arg (· ^ 2) (@Real.sq_sqrt 2 (by norm_num)) using 1 <;> (try simp only [← pow_mul]) <;> norm_num
import Mathlib.Algebra.Algebra.Bilinear import Mathlib.LinearAlgebra.Basis import Mathlib.RingTheory.Ideal.Basic #align_import ring_theory.ideal.operations from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74" namespace Ideal variable {ι R S : Type*} [CommSemiring R] [CommRing S] [IsDomain S] [Algebra R S] noncomputable def basisSpanSingleton (b : Basis ι R S) {x : S} (hx : x ≠ 0) : Basis ι R (span ({x} : Set S)) := b.map <| LinearEquiv.ofInjective (Algebra.lmul R S x) (LinearMap.mul_injective hx) ≪≫ₗ LinearEquiv.ofEq _ _ (by ext simp [mem_span_singleton', mul_comm]) ≪≫ₗ (Submodule.restrictScalarsEquiv R S S (Ideal.span ({x} : Set S))).restrictScalars R #align ideal.basis_span_singleton Ideal.basisSpanSingleton @[simp]
Mathlib/RingTheory/Ideal/Basis.lean
35
39
theorem basisSpanSingleton_apply (b : Basis ι R S) {x : S} (hx : x ≠ 0) (i : ι) : (basisSpanSingleton b hx i : S) = x * b i := by
simp only [basisSpanSingleton, Basis.map_apply, LinearEquiv.trans_apply, Submodule.restrictScalarsEquiv_apply, LinearEquiv.ofInjective_apply, LinearEquiv.coe_ofEq_apply, LinearEquiv.restrictScalars_apply, Algebra.coe_lmul_eq_mul, LinearMap.mul_apply']
import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Bind def bind (p : PMF α) (f : α → PMF β) : PMF β := ⟨fun b => ∑' a, p a * f a b, ENNReal.summable.hasSum_iff.2 (ENNReal.tsum_comm.trans <| by simp only [ENNReal.tsum_mul_left, tsum_coe, mul_one])⟩ #align pmf.bind PMF.bind variable (p : PMF α) (f : α → PMF β) (g : β → PMF γ) @[simp] theorem bind_apply (b : β) : p.bind f b = ∑' a, p a * f a b := rfl #align pmf.bind_apply PMF.bind_apply @[simp] theorem support_bind : (p.bind f).support = ⋃ a ∈ p.support, (f a).support := Set.ext fun b => by simp [mem_support_iff, ENNReal.tsum_eq_zero, not_or] #align pmf.support_bind PMF.support_bind theorem mem_support_bind_iff (b : β) : b ∈ (p.bind f).support ↔ ∃ a ∈ p.support, b ∈ (f a).support := by simp only [support_bind, Set.mem_iUnion, Set.mem_setOf_eq, exists_prop] #align pmf.mem_support_bind_iff PMF.mem_support_bind_iff @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
132
136
theorem pure_bind (a : α) (f : α → PMF β) : (pure a).bind f = f a := by
have : ∀ b a', ite (a' = a) (f a' b) 0 = ite (a' = a) (f a b) 0 := fun b a' => by split_ifs with h <;> simp [h] ext b simp [this]
import Mathlib.SetTheory.Cardinal.Finite #align_import data.finite.card from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" noncomputable section open scoped Classical variable {α β γ : Type*} def Finite.equivFin (α : Type*) [Finite α] : α ≃ Fin (Nat.card α) := by have := (Finite.exists_equiv_fin α).choose_spec.some rwa [Nat.card_eq_of_equiv_fin this] #align finite.equiv_fin Finite.equivFin def Finite.equivFinOfCardEq [Finite α] {n : ℕ} (h : Nat.card α = n) : α ≃ Fin n := by subst h apply Finite.equivFin #align finite.equiv_fin_of_card_eq Finite.equivFinOfCardEq theorem Nat.card_eq (α : Type*) : Nat.card α = if h : Finite α then @Fintype.card α (Fintype.ofFinite α) else 0 := by cases finite_or_infinite α · letI := Fintype.ofFinite α simp only [*, Nat.card_eq_fintype_card, dif_pos] · simp only [*, card_eq_zero_of_infinite, not_finite_iff_infinite.mpr, dite_false] #align nat.card_eq Nat.card_eq
Mathlib/Data/Finite/Card.lean
57
59
theorem Finite.card_pos_iff [Finite α] : 0 < Nat.card α ↔ Nonempty α := by
haveI := Fintype.ofFinite α rw [Nat.card_eq_fintype_card, Fintype.card_pos_iff]
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Data.Matrix.Basis import Mathlib.Data.Matrix.DMatrix import Mathlib.RingTheory.MatrixAlgebra #align_import ring_theory.polynomial_algebra from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" universe u v w open Polynomial TensorProduct open Algebra.TensorProduct (algHomOfLinearMapTensorProduct includeLeft) noncomputable section variable (R A : Type*) variable [CommSemiring R] variable [Semiring A] [Algebra R A] namespace PolyEquivTensor -- Porting note: was `@[simps apply_apply]` @[simps! apply_apply] def toFunBilinear : A →ₗ[A] R[X] →ₗ[R] A[X] := LinearMap.toSpanSingleton A _ (aeval (Polynomial.X : A[X])).toLinearMap #align poly_equiv_tensor.to_fun_bilinear PolyEquivTensor.toFunBilinear theorem toFunBilinear_apply_eq_sum (a : A) (p : R[X]) : toFunBilinear R A a p = p.sum fun n r => monomial n (a * algebraMap R A r) := by simp only [toFunBilinear_apply_apply, aeval_def, eval₂_eq_sum, Polynomial.sum, Finset.smul_sum] congr with i : 1 rw [← Algebra.smul_def, ← C_mul', mul_smul_comm, C_mul_X_pow_eq_monomial, ← Algebra.commutes, ← Algebra.smul_def, smul_monomial] #align poly_equiv_tensor.to_fun_bilinear_apply_eq_sum PolyEquivTensor.toFunBilinear_apply_eq_sum def toFunLinear : A ⊗[R] R[X] →ₗ[R] A[X] := TensorProduct.lift (toFunBilinear R A) #align poly_equiv_tensor.to_fun_linear PolyEquivTensor.toFunLinear @[simp] theorem toFunLinear_tmul_apply (a : A) (p : R[X]) : toFunLinear R A (a ⊗ₜ[R] p) = toFunBilinear R A a p := rfl #align poly_equiv_tensor.to_fun_linear_tmul_apply PolyEquivTensor.toFunLinear_tmul_apply -- We apparently need to provide the decidable instance here -- in order to successfully rewrite by this lemma. theorem toFunLinear_mul_tmul_mul_aux_1 (p : R[X]) (k : ℕ) (h : Decidable ¬p.coeff k = 0) (a : A) : ite (¬coeff p k = 0) (a * (algebraMap R A) (coeff p k)) 0 = a * (algebraMap R A) (coeff p k) := by classical split_ifs <;> simp [*] #align poly_equiv_tensor.to_fun_linear_mul_tmul_mul_aux_1 PolyEquivTensor.toFunLinear_mul_tmul_mul_aux_1 theorem toFunLinear_mul_tmul_mul_aux_2 (k : ℕ) (a₁ a₂ : A) (p₁ p₂ : R[X]) : a₁ * a₂ * (algebraMap R A) ((p₁ * p₂).coeff k) = (Finset.antidiagonal k).sum fun x => a₁ * (algebraMap R A) (coeff p₁ x.1) * (a₂ * (algebraMap R A) (coeff p₂ x.2)) := by simp_rw [mul_assoc, Algebra.commutes, ← Finset.mul_sum, mul_assoc, ← Finset.mul_sum] congr simp_rw [Algebra.commutes (coeff p₂ _), coeff_mul, map_sum, RingHom.map_mul] #align poly_equiv_tensor.to_fun_linear_mul_tmul_mul_aux_2 PolyEquivTensor.toFunLinear_mul_tmul_mul_aux_2
Mathlib/RingTheory/PolynomialAlgebra.lean
94
106
theorem toFunLinear_mul_tmul_mul (a₁ a₂ : A) (p₁ p₂ : R[X]) : (toFunLinear R A) ((a₁ * a₂) ⊗ₜ[R] (p₁ * p₂)) = (toFunLinear R A) (a₁ ⊗ₜ[R] p₁) * (toFunLinear R A) (a₂ ⊗ₜ[R] p₂) := by
classical simp only [toFunLinear_tmul_apply, toFunBilinear_apply_eq_sum] ext k simp_rw [coeff_sum, coeff_monomial, sum_def, Finset.sum_ite_eq', mem_support_iff, Ne] conv_rhs => rw [coeff_mul] simp_rw [finset_sum_coeff, coeff_monomial, Finset.sum_ite_eq', mem_support_iff, Ne, mul_ite, mul_zero, ite_mul, zero_mul] simp_rw [← ite_zero_mul (¬coeff p₁ _ = 0) (a₁ * (algebraMap R A) (coeff p₁ _))] simp_rw [← mul_ite_zero (¬coeff p₂ _ = 0) _ (_ * _)] simp_rw [toFunLinear_mul_tmul_mul_aux_1, toFunLinear_mul_tmul_mul_aux_2]
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" namespace MeasureTheory open Filter open scoped ENNReal variable {α E : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} [NormedAddCommGroup E]
Mathlib/MeasureTheory/Function/LpSeminorm/Trim.lean
25
32
theorem snorm'_trim (hm : m ≤ m0) {f : α → E} (hf : StronglyMeasurable[m] f) : snorm' f q (μ.trim hm) = snorm' f q μ := by
simp_rw [snorm'] congr 1 refine lintegral_trim hm ?_ refine @Measurable.pow_const _ _ _ _ _ _ _ m _ (@Measurable.coe_nnreal_ennreal _ m _ ?_) q apply @StronglyMeasurable.measurable exact @StronglyMeasurable.nnnorm α m _ _ _ hf
import Mathlib.Topology.Basic #align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Topology variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X} {s t s₁ s₂ t₁ t₂ : Set X} {x : X} theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] : 𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by rw [nhdsSet, ← range_diag, ← range_comp] rfl #align nhds_set_diagonal nhdsSet_diagonal theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image] #align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet] theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s := mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <| subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s` #align bUnion_mem_nhds_set bUnion_mem_nhdsSet
Mathlib/Topology/NhdsSet.lean
52
53
theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by
simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds]
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Coxeter.Basic namespace CoxeterSystem open List Matrix Function Classical variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by rcases cs.wordProd_surjective w with ⟨ω, rfl⟩ use ω.length, ω noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w) local prefix:100 "ℓ" => cs.length theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by have := Nat.find_spec (cs.exists_word_with_prod w) tauto theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length := Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩ @[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le []) @[simp] theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h) rw [this, wordProd_nil] · rintro rfl exact cs.length_one @[simp] theorem length_inv (w : W) : ℓ (w⁻¹) = ℓ w := by apply Nat.le_antisymm · rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, hω] at this · rcases cs.exists_reduced_word w⁻¹ with ⟨ω, hω, h'ω⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, ← h'ω, hω, inv_inv] at this theorem length_mul_le (w₁ w₂ : W) : ℓ (w₁ * w₂) ≤ ℓ w₁ + ℓ w₂ := by rcases cs.exists_reduced_word w₁ with ⟨ω₁, hω₁, rfl⟩ rcases cs.exists_reduced_word w₂ with ⟨ω₂, hω₂, rfl⟩ have := cs.length_wordProd_le (ω₁ ++ ω₂) simpa [hω₁, hω₂, wordProd_append] using this theorem length_mul_ge_length_sub_length (w₁ w₂ : W) : ℓ w₁ - ℓ w₂ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add] using cs.length_mul_le (w₁ * w₂) w₂⁻¹ theorem length_mul_ge_length_sub_length' (w₁ w₂ : W) : ℓ w₂ - ℓ w₁ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add, add_comm] using cs.length_mul_le w₁⁻¹ (w₁ * w₂) theorem length_mul_ge_max (w₁ w₂ : W) : max (ℓ w₁ - ℓ w₂) (ℓ w₂ - ℓ w₁) ≤ ℓ (w₁ * w₂) := max_le_iff.mpr ⟨length_mul_ge_length_sub_length _ _ _, length_mul_ge_length_sub_length' _ _ _⟩ def lengthParity : W →* Multiplicative (ZMod 2) := cs.lift ⟨fun _ ↦ Multiplicative.ofAdd 1, by simp_rw [CoxeterMatrix.IsLiftable, ← ofAdd_add, (by decide : (1 + 1 : ZMod 2) = 0)] simp⟩ theorem lengthParity_simple (i : B): cs.lengthParity (s i) = Multiplicative.ofAdd 1 := cs.lift_apply_simple _ _ theorem lengthParity_comp_simple : cs.lengthParity ∘ cs.simple = fun _ ↦ Multiplicative.ofAdd 1 := funext cs.lengthParity_simple theorem lengthParity_eq_ofAdd_length (w : W) : cs.lengthParity w = Multiplicative.ofAdd (↑(ℓ w)) := by rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rw [← hω, wordProd, map_list_prod, List.map_map, lengthParity_comp_simple, map_const', prod_replicate, ← ofAdd_nsmul, nsmul_one] theorem length_mul_mod_two (w₁ w₂ : W) : ℓ (w₁ * w₂) % 2 = (ℓ w₁ + ℓ w₂) % 2 := by rw [← ZMod.natCast_eq_natCast_iff', Nat.cast_add] simpa only [lengthParity_eq_ofAdd_length, ofAdd_add] using map_mul cs.lengthParity w₁ w₂ @[simp]
Mathlib/GroupTheory/Coxeter/Length.lean
142
150
theorem length_simple (i : B) : ℓ (s i) = 1 := by
apply Nat.le_antisymm · simpa using cs.length_wordProd_le [i] · by_contra! length_lt_one have : cs.lengthParity (s i) = Multiplicative.ofAdd 0 := by rw [lengthParity_eq_ofAdd_length, Nat.lt_one_iff.mp length_lt_one, Nat.cast_zero] have : Multiplicative.ofAdd (0 : ZMod 2) = Multiplicative.ofAdd 1 := this.symm.trans (cs.lengthParity_simple i) contradiction
import Mathlib.CategoryTheory.Closed.Cartesian import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import category_theory.closed.functor from "leanprover-community/mathlib"@"cea27692b3fdeb328a2ddba6aabf181754543184" noncomputable section namespace CategoryTheory open Category Limits CartesianClosed universe v u u' variable {C : Type u} [Category.{v} C] variable {D : Type u'} [Category.{v} D] variable [HasFiniteProducts C] [HasFiniteProducts D] variable (F : C ⥤ D) {L : D ⥤ C} def frobeniusMorphism (h : L ⊣ F) (A : C) : prod.functor.obj (F.obj A) ⋙ L ⟶ L ⋙ prod.functor.obj A := prodComparisonNatTrans L (F.obj A) ≫ whiskerLeft _ (prod.functor.map (h.counit.app _)) #align category_theory.frobenius_morphism CategoryTheory.frobeniusMorphism instance frobeniusMorphism_iso_of_preserves_binary_products (h : L ⊣ F) (A : C) [PreservesLimitsOfShape (Discrete WalkingPair) L] [F.Full] [F.Faithful] : IsIso (frobeniusMorphism F h A) := suffices ∀ (X : D), IsIso ((frobeniusMorphism F h A).app X) from NatIso.isIso_of_isIso_app _ fun B ↦ by dsimp [frobeniusMorphism]; infer_instance #align category_theory.frobenius_morphism_iso_of_preserves_binary_products CategoryTheory.frobeniusMorphism_iso_of_preserves_binary_products variable [CartesianClosed C] [CartesianClosed D] variable [PreservesLimitsOfShape (Discrete WalkingPair) F] def expComparison (A : C) : exp A ⋙ F ⟶ F ⋙ exp (F.obj A) := transferNatTrans (exp.adjunction A) (exp.adjunction (F.obj A)) (prodComparisonNatIso F A).inv #align category_theory.exp_comparison CategoryTheory.expComparison theorem expComparison_ev (A B : C) : Limits.prod.map (𝟙 (F.obj A)) ((expComparison F A).app B) ≫ (exp.ev (F.obj A)).app (F.obj B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by convert transferNatTrans_counit _ _ (prodComparisonNatIso F A).inv B using 2 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` simp only [Limits.prodComparisonNatIso_inv, asIso_inv, NatIso.isIso_inv_app, IsIso.hom_inv_id] #align category_theory.exp_comparison_ev CategoryTheory.expComparison_ev theorem coev_expComparison (A B : C) : F.map ((exp.coev A).app B) ≫ (expComparison F A).app (A ⨯ B) = (exp.coev _).app (F.obj B) ≫ (exp (F.obj A)).map (inv (prodComparison F A B)) := by convert unit_transferNatTrans _ _ (prodComparisonNatIso F A).inv B using 3 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` dsimp simp #align category_theory.coev_exp_comparison CategoryTheory.coev_expComparison theorem uncurry_expComparison (A B : C) : CartesianClosed.uncurry ((expComparison F A).app B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by rw [uncurry_eq, expComparison_ev] #align category_theory.uncurry_exp_comparison CategoryTheory.uncurry_expComparison
Mathlib/CategoryTheory/Closed/Functor.lean
107
116
theorem expComparison_whiskerLeft {A A' : C} (f : A' ⟶ A) : expComparison F A ≫ whiskerLeft _ (pre (F.map f)) = whiskerRight (pre f) _ ≫ expComparison F A' := by
ext B dsimp apply uncurry_injective rw [uncurry_natural_left, uncurry_natural_left, uncurry_expComparison, uncurry_pre, prod.map_swap_assoc, ← F.map_id, expComparison_ev, ← F.map_id, ← prodComparison_inv_natural_assoc, ← prodComparison_inv_natural_assoc, ← F.map_comp, ← F.map_comp, prod_map_pre_app_comp_ev]
import Mathlib.Topology.UniformSpace.CompactConvergence import Mathlib.Topology.UniformSpace.Equicontinuity import Mathlib.Topology.UniformSpace.Equiv open Set Filter Uniformity Topology Function UniformConvergence variable {ι X Y α β : Type*} [TopologicalSpace X] [UniformSpace α] [UniformSpace β] variable {F : ι → X → α} {G : ι → β → α} theorem Equicontinuous.comap_uniformFun_eq [CompactSpace X] (F_eqcont : Equicontinuous F) : (UniformFun.uniformSpace X α).comap F = (Pi.uniformSpace _).comap F := by -- The `≤` inequality is trivial refine le_antisymm (UniformSpace.comap_mono UniformFun.uniformContinuous_toFun) ?_ -- A bit of rewriting to get a nice intermediate statement. change comap _ _ ≤ comap _ _ simp_rw [Pi.uniformity, Filter.comap_iInf, comap_comap, Function.comp] refine ((UniformFun.hasBasis_uniformity X α).comap (Prod.map F F)).ge_iff.mpr ?_ -- Core of the proof: we need to show that, for any entourage `U` in `α`, -- the set `𝐓(U) := {(i,j) : ι × ι | ∀ x : X, (F i x, F j x) ∈ U}` belongs to the filter -- `⨅ x, comap ((i,j) ↦ (F i x, F j x)) (𝓤 α)`. -- In other words, we have to show that it contains a finite intersection of -- sets of the form `𝐒(V, x) := {(i,j) : ι × ι | (F i x, F j x) ∈ V}` for some -- `x : X` and `V ∈ 𝓤 α`. intro U hU -- We will do an `ε/3` argument, so we start by choosing a symmetric entourage `V ∈ 𝓤 α` -- such that `V ○ V ○ V ⊆ U`. rcases comp_comp_symm_mem_uniformity_sets hU with ⟨V, hV, Vsymm, hVU⟩ -- Set `Ω x := {y | ∀ i, (F i x, F i y) ∈ V}`. The equicontinuity of `F` guarantees that -- each `Ω x` is a neighborhood of `x`. let Ω x : Set X := {y | ∀ i, (F i x, F i y) ∈ V} -- Hence, by compactness of `X`, we can find some `A ⊆ X` finite such that the `Ω a`s for `a ∈ A` -- still cover `X`. rcases CompactSpace.elim_nhds_subcover Ω (fun x ↦ F_eqcont x V hV) with ⟨A, Acover⟩ -- We now claim that `⋂ a ∈ A, 𝐒(V, a) ⊆ 𝐓(U)`. have : (⋂ a ∈ A, {ij : ι × ι | (F ij.1 a, F ij.2 a) ∈ V}) ⊆ (Prod.map F F) ⁻¹' UniformFun.gen X α U := by -- Given `(i, j) ∈ ⋂ a ∈ A, 𝐒(V, a)` and `x : X`, we have to prove that `(F i x, F j x) ∈ U`. rintro ⟨i, j⟩ hij x rw [mem_iInter₂] at hij -- We know that `x ∈ Ω a` for some `a ∈ A`, so that both `(F i x, F i a)` and `(F j a, F j x)` -- are in `V`. rcases mem_iUnion₂.mp (Acover.symm.subset <| mem_univ x) with ⟨a, ha, hax⟩ -- Since `(i, j) ∈ 𝐒(V, a)` we also have `(F i a, F j a) ∈ V`, and finally we get -- `(F i x, F j x) ∈ V ○ V ○ V ⊆ U`. exact hVU (prod_mk_mem_compRel (prod_mk_mem_compRel (Vsymm.mk_mem_comm.mp (hax i)) (hij a ha)) (hax j)) -- This completes the proof. exact mem_of_superset (A.iInter_mem_sets.mpr fun x _ ↦ mem_iInf_of_mem x <| preimage_mem_comap hV) this lemma Equicontinuous.uniformInducing_uniformFun_iff_pi [UniformSpace ι] [CompactSpace X] (F_eqcont : Equicontinuous F) : UniformInducing (UniformFun.ofFun ∘ F) ↔ UniformInducing F := by rw [uniformInducing_iff_uniformSpace, uniformInducing_iff_uniformSpace, ← F_eqcont.comap_uniformFun_eq] rfl lemma Equicontinuous.inducing_uniformFun_iff_pi [TopologicalSpace ι] [CompactSpace X] (F_eqcont : Equicontinuous F) : Inducing (UniformFun.ofFun ∘ F) ↔ Inducing F := by rw [inducing_iff, inducing_iff] change (_ = (UniformFun.uniformSpace X α |>.comap F |>.toTopologicalSpace)) ↔ (_ = (Pi.uniformSpace _ |>.comap F |>.toTopologicalSpace)) rw [F_eqcont.comap_uniformFun_eq]
Mathlib/Topology/UniformSpace/Ascoli.lean
163
199
theorem Equicontinuous.tendsto_uniformFun_iff_pi [CompactSpace X] (F_eqcont : Equicontinuous F) (ℱ : Filter ι) (f : X → α) : Tendsto (UniformFun.ofFun ∘ F) ℱ (𝓝 <| UniformFun.ofFun f) ↔ Tendsto F ℱ (𝓝 f) := by
-- Assume `ℱ` is non trivial. rcases ℱ.eq_or_neBot with rfl | ℱ_ne · simp constructor <;> intro H -- The forward direction is always true, the interesting part is the converse. · exact UniformFun.uniformContinuous_toFun.continuous.tendsto _|>.comp H -- To prove it, assume that `F` tends to `f` *pointwise* along `ℱ`. · set S : Set (X → α) := closure (range F) set 𝒢 : Filter S := comap (↑) (map F ℱ) -- We would like to use `Equicontinuous.comap_uniformFun_eq`, but applying it to `F` is not -- enough since `f` has no reason to be in the range of `F`. -- Instead, we will apply it to the inclusion `(↑) : S → (X → α)` where `S` is the closure of -- the range of `F` *for the product topology*. -- We know that `S` is still equicontinuous... have hS : S.Equicontinuous := closure' (by rwa [equicontinuous_iff_range] at F_eqcont) continuous_id -- ... hence, as announced, the product topology and uniform convergence topology -- coincide on `S`. have ind : Inducing (UniformFun.ofFun ∘ (↑) : S → X →ᵤ α) := hS.inducing_uniformFun_iff_pi.mpr ⟨rfl⟩ -- By construction, `f` is in `S`. have f_mem : f ∈ S := mem_closure_of_tendsto H range_mem_map -- To conclude, we just have to translate our hypothesis and goal as statements about -- `S`, on which we know the two topologies at play coincide. -- For this, we define a filter on `S` by `𝒢 := comap (↑) (map F ℱ)`, and note that -- it satisfies `map (↑) 𝒢 = map F ℱ`. Thus, both our hypothesis and our goal -- can be rewritten as `𝒢 ≤ 𝓝 f`, where the neighborhood filter in the RHS corresponds -- to one of the two topologies at play on `S`. Since they coincide, we are done. have h𝒢ℱ : map (↑) 𝒢 = map F ℱ := Filter.map_comap_of_mem (Subtype.range_coe ▸ mem_of_superset range_mem_map subset_closure) have H' : Tendsto id 𝒢 (𝓝 ⟨f, f_mem⟩) := by rwa [tendsto_id', nhds_induced, ← map_le_iff_le_comap, h𝒢ℱ] rwa [ind.tendsto_nhds_iff, comp_id, ← tendsto_map'_iff, h𝒢ℱ] at H'
import Mathlib.Topology.Sheaves.Forget import Mathlib.Topology.Sheaves.SheafCondition.PairwiseIntersections import Mathlib.CategoryTheory.Limits.Shapes.Types #align_import topology.sheaves.sheaf_condition.unique_gluing from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8" noncomputable section open TopCat TopCat.Presheaf CategoryTheory CategoryTheory.Limits TopologicalSpace TopologicalSpace.Opens Opposite universe v u x variable {C : Type u} [Category.{v} C] [ConcreteCategory.{v} C] namespace TopCat namespace Presheaf section attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike variable {X : TopCat.{x}} (F : Presheaf C X) {ι : Type x} (U : ι → Opens X) def IsCompatible (sf : ∀ i : ι, F.obj (op (U i))) : Prop := ∀ i j : ι, F.map (infLELeft (U i) (U j)).op (sf i) = F.map (infLERight (U i) (U j)).op (sf j) set_option linter.uppercaseLean3 false in #align Top.presheaf.is_compatible TopCat.Presheaf.IsCompatible def IsGluing (sf : ∀ i : ι, F.obj (op (U i))) (s : F.obj (op (iSup U))) : Prop := ∀ i : ι, F.map (Opens.leSupr U i).op s = sf i set_option linter.uppercaseLean3 false in #align Top.presheaf.is_gluing TopCat.Presheaf.IsGluing def IsSheafUniqueGluing : Prop := ∀ ⦃ι : Type x⦄ (U : ι → Opens X) (sf : ∀ i : ι, F.obj (op (U i))), IsCompatible F U sf → ∃! s : F.obj (op (iSup U)), IsGluing F U sf s set_option linter.uppercaseLean3 false in #align Top.presheaf.is_sheaf_unique_gluing TopCat.Presheaf.IsSheafUniqueGluing end section TypeValued variable {X : TopCat.{x}} {F : Presheaf (Type u) X} {ι : Type x} {U : ι → Opens X} def objPairwiseOfFamily (sf : ∀ i, F.obj (op (U i))) : ∀ i, ((Pairwise.diagram U).op ⋙ F).obj i | ⟨Pairwise.single i⟩ => sf i | ⟨Pairwise.pair i j⟩ => F.map (infLELeft (U i) (U j)).op (sf i) def IsCompatible.sectionPairwise {sf} (h : IsCompatible F U sf) : ((Pairwise.diagram U).op ⋙ F).sections := by refine ⟨objPairwiseOfFamily sf, ?_⟩ let G := (Pairwise.diagram U).op ⋙ F rintro (i|⟨i,j⟩) (i'|⟨i',j'⟩) (_|_|_|_) · exact congr_fun (G.map_id <| op <| Pairwise.single i) _ · rfl · exact (h i' i).symm · exact congr_fun (G.map_id <| op <| Pairwise.pair i j) _ theorem isGluing_iff_pairwise {sf s} : IsGluing F U sf s ↔ ∀ i, (F.mapCone (Pairwise.cocone U).op).π.app i s = objPairwiseOfFamily sf i := by refine ⟨fun h ↦ ?_, fun h i ↦ h (op <| Pairwise.single i)⟩ rintro (i|⟨i,j⟩) · exact h i · rw [← (F.mapCone (Pairwise.cocone U).op).w (op <| Pairwise.Hom.left i j)] exact congr_arg _ (h i) variable (F)
Mathlib/Topology/Sheaves/SheafCondition/UniqueGluing.lean
125
134
theorem isSheaf_iff_isSheafUniqueGluing_types : F.IsSheaf ↔ F.IsSheafUniqueGluing := by
simp_rw [isSheaf_iff_isSheafPairwiseIntersections, IsSheafPairwiseIntersections, Types.isLimit_iff, IsSheafUniqueGluing, isGluing_iff_pairwise] refine forall₂_congr fun ι U ↦ ⟨fun h sf cpt ↦ ?_, fun h s hs ↦ ?_⟩ · exact h _ cpt.sectionPairwise.prop · specialize h (fun i ↦ s <| op <| Pairwise.single i) fun i j ↦ (hs <| op <| Pairwise.Hom.left i j).trans (hs <| op <| Pairwise.Hom.right i j).symm convert h; ext (i|⟨i,j⟩) · rfl · exact (hs <| op <| Pairwise.Hom.left i j).symm
import Mathlib.Computability.Halting import Mathlib.Computability.TuringMachine import Mathlib.Data.Num.Lemmas import Mathlib.Tactic.DeriveFintype #align_import computability.tm_to_partrec from "leanprover-community/mathlib"@"6155d4351090a6fad236e3d2e4e0e4e7342668e8" open Function (update) open Relation namespace Turing namespace ToPartrec inductive Code | zero' | succ | tail | cons : Code → Code → Code | comp : Code → Code → Code | case : Code → Code → Code | fix : Code → Code deriving DecidableEq, Inhabited #align turing.to_partrec.code Turing.ToPartrec.Code #align turing.to_partrec.code.zero' Turing.ToPartrec.Code.zero' #align turing.to_partrec.code.succ Turing.ToPartrec.Code.succ #align turing.to_partrec.code.tail Turing.ToPartrec.Code.tail #align turing.to_partrec.code.cons Turing.ToPartrec.Code.cons #align turing.to_partrec.code.comp Turing.ToPartrec.Code.comp #align turing.to_partrec.code.case Turing.ToPartrec.Code.case #align turing.to_partrec.code.fix Turing.ToPartrec.Code.fix def Code.eval : Code → List ℕ →. List ℕ | Code.zero' => fun v => pure (0 :: v) | Code.succ => fun v => pure [v.headI.succ] | Code.tail => fun v => pure v.tail | Code.cons f fs => fun v => do let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) | Code.comp f g => fun v => g.eval v >>= f.eval | Code.case f g => fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) | Code.fix f => PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail #align turing.to_partrec.code.eval Turing.ToPartrec.Code.eval namespace Code @[simp] theorem zero'_eval : zero'.eval = fun v => pure (0 :: v) := by simp [eval] @[simp] theorem succ_eval : succ.eval = fun v => pure [v.headI.succ] := by simp [eval] @[simp] theorem tail_eval : tail.eval = fun v => pure v.tail := by simp [eval] @[simp] theorem cons_eval (f fs) : (cons f fs).eval = fun v => do { let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) } := by simp [eval] @[simp] theorem comp_eval (f g) : (comp f g).eval = fun v => g.eval v >>= f.eval := by simp [eval] @[simp] theorem case_eval (f g) : (case f g).eval = fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) := by simp [eval] @[simp] theorem fix_eval (f) : (fix f).eval = PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail := by simp [eval] def nil : Code := tail.comp succ #align turing.to_partrec.code.nil Turing.ToPartrec.Code.nil @[simp] theorem nil_eval (v) : nil.eval v = pure [] := by simp [nil] #align turing.to_partrec.code.nil_eval Turing.ToPartrec.Code.nil_eval def id : Code := tail.comp zero' #align turing.to_partrec.code.id Turing.ToPartrec.Code.id @[simp] theorem id_eval (v) : id.eval v = pure v := by simp [id] #align turing.to_partrec.code.id_eval Turing.ToPartrec.Code.id_eval def head : Code := cons id nil #align turing.to_partrec.code.head Turing.ToPartrec.Code.head @[simp]
Mathlib/Computability/TMToPartrec.lean
192
192
theorem head_eval (v) : head.eval v = pure [v.headI] := by
simp [head]
import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.Data.Finset.Pointwise #align_import algebra.monoid_algebra.support from "leanprover-community/mathlib"@"16749fc4661828cba18cd0f4e3c5eb66a8e80598" open scoped Pointwise universe u₁ u₂ u₃ namespace MonoidAlgebra open Finset Finsupp variable {k : Type u₁} {G : Type u₂} [Semiring k] theorem support_mul [Mul G] [DecidableEq G] (a b : MonoidAlgebra k G) : (a * b).support ⊆ a.support * b.support := by rw [MonoidAlgebra.mul_def] exact support_sum.trans <| biUnion_subset.2 fun _x hx ↦ support_sum.trans <| biUnion_subset.2 fun _y hy ↦ support_single_subset.trans <| singleton_subset_iff.2 <| mem_image₂_of_mem hx hy #align monoid_algebra.support_mul MonoidAlgebra.support_mul theorem support_single_mul_subset [DecidableEq G] [Mul G] (f : MonoidAlgebra k G) (r : k) (a : G) : (single a r * f : MonoidAlgebra k G).support ⊆ Finset.image (a * ·) f.support := (support_mul _ _).trans <| (Finset.image₂_subset_right support_single_subset).trans <| by rw [Finset.image₂_singleton_left] #align monoid_algebra.support_single_mul_subset MonoidAlgebra.support_single_mul_subset theorem support_mul_single_subset [DecidableEq G] [Mul G] (f : MonoidAlgebra k G) (r : k) (a : G) : (f * single a r).support ⊆ Finset.image (· * a) f.support := (support_mul _ _).trans <| (Finset.image₂_subset_left support_single_subset).trans <| by rw [Finset.image₂_singleton_right] #align monoid_algebra.support_mul_single_subset MonoidAlgebra.support_mul_single_subset theorem support_single_mul_eq_image [DecidableEq G] [Mul G] (f : MonoidAlgebra k G) {r : k} (hr : ∀ y, r * y = 0 ↔ y = 0) {x : G} (lx : IsLeftRegular x) : (single x r * f : MonoidAlgebra k G).support = Finset.image (x * ·) f.support := by refine subset_antisymm (support_single_mul_subset f _ _) fun y hy => ?_ obtain ⟨y, yf, rfl⟩ : ∃ a : G, a ∈ f.support ∧ x * a = y := by simpa only [Finset.mem_image, exists_prop] using hy simp only [mul_apply, mem_support_iff.mp yf, hr, mem_support_iff, sum_single_index, Finsupp.sum_ite_eq', Ne, not_false_iff, if_true, zero_mul, ite_self, sum_zero, lx.eq_iff] #align monoid_algebra.support_single_mul_eq_image MonoidAlgebra.support_single_mul_eq_image theorem support_mul_single_eq_image [DecidableEq G] [Mul G] (f : MonoidAlgebra k G) {r : k} (hr : ∀ y, y * r = 0 ↔ y = 0) {x : G} (rx : IsRightRegular x) : (f * single x r).support = Finset.image (· * x) f.support := by refine subset_antisymm (support_mul_single_subset f _ _) fun y hy => ?_ obtain ⟨y, yf, rfl⟩ : ∃ a : G, a ∈ f.support ∧ a * x = y := by simpa only [Finset.mem_image, exists_prop] using hy simp only [mul_apply, mem_support_iff.mp yf, hr, mem_support_iff, sum_single_index, Finsupp.sum_ite_eq', Ne, not_false_iff, if_true, mul_zero, ite_self, sum_zero, rx.eq_iff] #align monoid_algebra.support_mul_single_eq_image MonoidAlgebra.support_mul_single_eq_image theorem support_mul_single [Mul G] [IsRightCancelMul G] (f : MonoidAlgebra k G) (r : k) (hr : ∀ y, y * r = 0 ↔ y = 0) (x : G) : (f * single x r).support = f.support.map (mulRightEmbedding x) := by classical ext simp only [support_mul_single_eq_image f hr (IsRightRegular.all x), mem_image, mem_map, mulRightEmbedding_apply] #align monoid_algebra.support_mul_single MonoidAlgebra.support_mul_single
Mathlib/Algebra/MonoidAlgebra/Support.lean
74
80
theorem support_single_mul [Mul G] [IsLeftCancelMul G] (f : MonoidAlgebra k G) (r : k) (hr : ∀ y, r * y = 0 ↔ y = 0) (x : G) : (single x r * f : MonoidAlgebra k G).support = f.support.map (mulLeftEmbedding x) := by
classical ext simp only [support_single_mul_eq_image f hr (IsLeftRegular.all x), mem_image, mem_map, mulLeftEmbedding_apply]
import Mathlib.Algebra.CharP.Invertible import Mathlib.Analysis.NormedSpace.Basic import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.Topology.Instances.RealVectorSpace #align_import analysis.normed_space.add_torsor from "leanprover-community/mathlib"@"837f72de63ad6cd96519cde5f1ffd5ed8d280ad0" noncomputable section open NNReal Topology open Filter variable {α V P W Q : Type*} [SeminormedAddCommGroup V] [PseudoMetricSpace P] [NormedAddTorsor V P] [NormedAddCommGroup W] [MetricSpace Q] [NormedAddTorsor W Q] section NormedSpace variable {𝕜 : Type*} [NormedField 𝕜] [NormedSpace 𝕜 V] [NormedSpace 𝕜 W] open AffineMap theorem AffineSubspace.isClosed_direction_iff (s : AffineSubspace 𝕜 Q) : IsClosed (s.direction : Set W) ↔ IsClosed (s : Set Q) := by rcases s.eq_bot_or_nonempty with (rfl | ⟨x, hx⟩); · simp [isClosed_singleton] rw [← (IsometryEquiv.vaddConst x).toHomeomorph.symm.isClosed_image, AffineSubspace.coe_direction_eq_vsub_set_right hx] rfl #align affine_subspace.is_closed_direction_iff AffineSubspace.isClosed_direction_iff @[simp] theorem dist_center_homothety (p₁ p₂ : P) (c : 𝕜) : dist p₁ (homothety p₁ c p₂) = ‖c‖ * dist p₁ p₂ := by simp [homothety_def, norm_smul, ← dist_eq_norm_vsub, dist_comm] #align dist_center_homothety dist_center_homothety @[simp] theorem nndist_center_homothety (p₁ p₂ : P) (c : 𝕜) : nndist p₁ (homothety p₁ c p₂) = ‖c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_center_homothety _ _ _ #align nndist_center_homothety nndist_center_homothety @[simp] theorem dist_homothety_center (p₁ p₂ : P) (c : 𝕜) : dist (homothety p₁ c p₂) p₁ = ‖c‖ * dist p₁ p₂ := by rw [dist_comm, dist_center_homothety] #align dist_homothety_center dist_homothety_center @[simp] theorem nndist_homothety_center (p₁ p₂ : P) (c : 𝕜) : nndist (homothety p₁ c p₂) p₁ = ‖c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_homothety_center _ _ _ #align nndist_homothety_center nndist_homothety_center @[simp] theorem dist_lineMap_lineMap (p₁ p₂ : P) (c₁ c₂ : 𝕜) : dist (lineMap p₁ p₂ c₁) (lineMap p₁ p₂ c₂) = dist c₁ c₂ * dist p₁ p₂ := by rw [dist_comm p₁ p₂] simp only [lineMap_apply, dist_eq_norm_vsub, vadd_vsub_vadd_cancel_right, ← sub_smul, norm_smul, vsub_eq_sub] #align dist_line_map_line_map dist_lineMap_lineMap @[simp] theorem nndist_lineMap_lineMap (p₁ p₂ : P) (c₁ c₂ : 𝕜) : nndist (lineMap p₁ p₂ c₁) (lineMap p₁ p₂ c₂) = nndist c₁ c₂ * nndist p₁ p₂ := NNReal.eq <| dist_lineMap_lineMap _ _ _ _ #align nndist_line_map_line_map nndist_lineMap_lineMap theorem lipschitzWith_lineMap (p₁ p₂ : P) : LipschitzWith (nndist p₁ p₂) (lineMap p₁ p₂ : 𝕜 → P) := LipschitzWith.of_dist_le_mul fun c₁ c₂ => ((dist_lineMap_lineMap p₁ p₂ c₁ c₂).trans (mul_comm _ _)).le #align lipschitz_with_line_map lipschitzWith_lineMap @[simp]
Mathlib/Analysis/NormedSpace/AddTorsor.lean
87
88
theorem dist_lineMap_left (p₁ p₂ : P) (c : 𝕜) : dist (lineMap p₁ p₂ c) p₁ = ‖c‖ * dist p₁ p₂ := by
simpa only [lineMap_apply_zero, dist_zero_right] using dist_lineMap_lineMap p₁ p₂ c 0
import Mathlib.Algebra.Associated import Mathlib.Algebra.GeomSum import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.SMulWithZero import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Lattice import Mathlib.RingTheory.Nilpotent.Defs #align_import ring_theory.nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff" universe u v open Function Set variable {R S : Type*} {x y : R} theorem IsNilpotent.neg [Ring R] (h : IsNilpotent x) : IsNilpotent (-x) := by obtain ⟨n, hn⟩ := h use n rw [neg_pow, hn, mul_zero] #align is_nilpotent.neg IsNilpotent.neg @[simp] theorem isNilpotent_neg_iff [Ring R] : IsNilpotent (-x) ↔ IsNilpotent x := ⟨fun h => neg_neg x ▸ h.neg, fun h => h.neg⟩ #align is_nilpotent_neg_iff isNilpotent_neg_iff lemma IsNilpotent.smul [MonoidWithZero R] [MonoidWithZero S] [MulActionWithZero R S] [SMulCommClass R S S] [IsScalarTower R S S] {a : S} (ha : IsNilpotent a) (t : R) : IsNilpotent (t • a) := by obtain ⟨k, ha⟩ := ha use k rw [smul_pow, ha, smul_zero] theorem IsNilpotent.isUnit_sub_one [Ring R] {r : R} (hnil : IsNilpotent r) : IsUnit (r - 1) := by obtain ⟨n, hn⟩ := hnil refine ⟨⟨r - 1, -∑ i ∈ Finset.range n, r ^ i, ?_, ?_⟩, rfl⟩ · simp [mul_geom_sum, hn] · simp [geom_sum_mul, hn]
Mathlib/RingTheory/Nilpotent/Basic.lean
64
66
theorem IsNilpotent.isUnit_one_sub [Ring R] {r : R} (hnil : IsNilpotent r) : IsUnit (1 - r) := by
rw [← IsUnit.neg_iff, neg_sub] exact isUnit_sub_one hnil
import Mathlib.MeasureTheory.Measure.Dirac set_option autoImplicit true open Set open scoped ENNReal Classical variable [MeasurableSpace α] [MeasurableSpace β] {s : Set α} noncomputable section namespace MeasureTheory.Measure def count : Measure α := sum dirac #align measure_theory.measure.count MeasureTheory.Measure.count theorem le_count_apply : ∑' _ : s, (1 : ℝ≥0∞) ≤ count s := calc (∑' _ : s, 1 : ℝ≥0∞) = ∑' i, indicator s 1 i := tsum_subtype s 1 _ ≤ ∑' i, dirac i s := ENNReal.tsum_le_tsum fun _ => le_dirac_apply _ ≤ count s := le_sum_apply _ _ #align measure_theory.measure.le_count_apply MeasureTheory.Measure.le_count_apply theorem count_apply (hs : MeasurableSet s) : count s = ∑' i : s, 1 := by simp only [count, sum_apply, hs, dirac_apply', ← tsum_subtype s (1 : α → ℝ≥0∞), Pi.one_apply] #align measure_theory.measure.count_apply MeasureTheory.Measure.count_apply -- @[simp] -- Porting note (#10618): simp can prove this theorem count_empty : count (∅ : Set α) = 0 := by rw [count_apply MeasurableSet.empty, tsum_empty] #align measure_theory.measure.count_empty MeasureTheory.Measure.count_empty @[simp] theorem count_apply_finset' {s : Finset α} (s_mble : MeasurableSet (s : Set α)) : count (↑s : Set α) = s.card := calc count (↑s : Set α) = ∑' i : (↑s : Set α), 1 := count_apply s_mble _ = ∑ i ∈ s, 1 := s.tsum_subtype 1 _ = s.card := by simp #align measure_theory.measure.count_apply_finset' MeasureTheory.Measure.count_apply_finset' @[simp] theorem count_apply_finset [MeasurableSingletonClass α] (s : Finset α) : count (↑s : Set α) = s.card := count_apply_finset' s.measurableSet #align measure_theory.measure.count_apply_finset MeasureTheory.Measure.count_apply_finset theorem count_apply_finite' {s : Set α} (s_fin : s.Finite) (s_mble : MeasurableSet s) : count s = s_fin.toFinset.card := by simp [← @count_apply_finset' _ _ s_fin.toFinset (by simpa only [Finite.coe_toFinset] using s_mble)] #align measure_theory.measure.count_apply_finite' MeasureTheory.Measure.count_apply_finite' theorem count_apply_finite [MeasurableSingletonClass α] (s : Set α) (hs : s.Finite) : count s = hs.toFinset.card := by rw [← count_apply_finset, Finite.coe_toFinset] #align measure_theory.measure.count_apply_finite MeasureTheory.Measure.count_apply_finite theorem count_apply_infinite (hs : s.Infinite) : count s = ∞ := by refine top_unique (le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n => ?_) rcases hs.exists_subset_card_eq n with ⟨t, ht, rfl⟩ calc (t.card : ℝ≥0∞) = ∑ i ∈ t, 1 := by simp _ = ∑' i : (t : Set α), 1 := (t.tsum_subtype 1).symm _ ≤ count (t : Set α) := le_count_apply _ ≤ count s := measure_mono ht #align measure_theory.measure.count_apply_infinite MeasureTheory.Measure.count_apply_infinite @[simp]
Mathlib/MeasureTheory/Measure/Count.lean
84
88
theorem count_apply_eq_top' (s_mble : MeasurableSet s) : count s = ∞ ↔ s.Infinite := by
by_cases hs : s.Finite · simp [Set.Infinite, hs, count_apply_finite' hs s_mble] · change s.Infinite at hs simp [hs, count_apply_infinite]
import Mathlib.MeasureTheory.Measure.Typeclasses open scoped ENNReal namespace MeasureTheory variable {α : Type*} noncomputable def Measure.trim {m m0 : MeasurableSpace α} (μ : @Measure α m0) (hm : m ≤ m0) : @Measure α m := @OuterMeasure.toMeasure α m μ.toOuterMeasure (hm.trans (le_toOuterMeasure_caratheodory μ)) #align measure_theory.measure.trim MeasureTheory.Measure.trim @[simp] theorem trim_eq_self [MeasurableSpace α] {μ : Measure α} : μ.trim le_rfl = μ := by simp [Measure.trim] #align measure_theory.trim_eq_self MeasureTheory.trim_eq_self variable {m m0 : MeasurableSpace α} {μ : Measure α} {s : Set α} theorem toOuterMeasure_trim_eq_trim_toOuterMeasure (μ : Measure α) (hm : m ≤ m0) : @Measure.toOuterMeasure _ m (μ.trim hm) = @OuterMeasure.trim _ m μ.toOuterMeasure := by rw [Measure.trim, toMeasure_toOuterMeasure (ms := m)] #align measure_theory.to_outer_measure_trim_eq_trim_to_outer_measure MeasureTheory.toOuterMeasure_trim_eq_trim_toOuterMeasure @[simp] theorem zero_trim (hm : m ≤ m0) : (0 : Measure α).trim hm = (0 : @Measure α m) := by simp [Measure.trim, @OuterMeasure.toMeasure_zero _ m] #align measure_theory.zero_trim MeasureTheory.zero_trim theorem trim_measurableSet_eq (hm : m ≤ m0) (hs : @MeasurableSet α m s) : μ.trim hm s = μ s := by rw [Measure.trim, toMeasure_apply (ms := m) _ _ hs, Measure.coe_toOuterMeasure] #align measure_theory.trim_measurable_set_eq MeasureTheory.trim_measurableSet_eq theorem le_trim (hm : m ≤ m0) : μ s ≤ μ.trim hm s := by simp_rw [Measure.trim] exact @le_toMeasure_apply _ m _ _ _ #align measure_theory.le_trim MeasureTheory.le_trim theorem measure_eq_zero_of_trim_eq_zero (hm : m ≤ m0) (h : μ.trim hm s = 0) : μ s = 0 := le_antisymm ((le_trim hm).trans (le_of_eq h)) (zero_le _) #align measure_theory.measure_eq_zero_of_trim_eq_zero MeasureTheory.measure_eq_zero_of_trim_eq_zero theorem measure_trim_toMeasurable_eq_zero {hm : m ≤ m0} (hs : μ.trim hm s = 0) : μ (@toMeasurable α m (μ.trim hm) s) = 0 := measure_eq_zero_of_trim_eq_zero hm (by rwa [@measure_toMeasurable _ m]) #align measure_theory.measure_trim_to_measurable_eq_zero MeasureTheory.measure_trim_toMeasurable_eq_zero theorem ae_of_ae_trim (hm : m ≤ m0) {μ : Measure α} {P : α → Prop} (h : ∀ᵐ x ∂μ.trim hm, P x) : ∀ᵐ x ∂μ, P x := measure_eq_zero_of_trim_eq_zero hm h #align measure_theory.ae_of_ae_trim MeasureTheory.ae_of_ae_trim theorem ae_eq_of_ae_eq_trim {E} {hm : m ≤ m0} {f₁ f₂ : α → E} (h12 : f₁ =ᵐ[μ.trim hm] f₂) : f₁ =ᵐ[μ] f₂ := measure_eq_zero_of_trim_eq_zero hm h12 #align measure_theory.ae_eq_of_ae_eq_trim MeasureTheory.ae_eq_of_ae_eq_trim theorem ae_le_of_ae_le_trim {E} [LE E] {hm : m ≤ m0} {f₁ f₂ : α → E} (h12 : f₁ ≤ᵐ[μ.trim hm] f₂) : f₁ ≤ᵐ[μ] f₂ := measure_eq_zero_of_trim_eq_zero hm h12 #align measure_theory.ae_le_of_ae_le_trim MeasureTheory.ae_le_of_ae_le_trim theorem trim_trim {m₁ m₂ : MeasurableSpace α} {hm₁₂ : m₁ ≤ m₂} {hm₂ : m₂ ≤ m0} : (μ.trim hm₂).trim hm₁₂ = μ.trim (hm₁₂.trans hm₂) := by refine @Measure.ext _ m₁ _ _ (fun t ht => ?_) rw [trim_measurableSet_eq hm₁₂ ht, trim_measurableSet_eq (hm₁₂.trans hm₂) ht, trim_measurableSet_eq hm₂ (hm₁₂ t ht)] #align measure_theory.trim_trim MeasureTheory.trim_trim
Mathlib/MeasureTheory/Measure/Trim.lean
93
98
theorem restrict_trim (hm : m ≤ m0) (μ : Measure α) (hs : @MeasurableSet α m s) : @Measure.restrict α m (μ.trim hm) s = (μ.restrict s).trim hm := by
refine @Measure.ext _ m _ _ (fun t ht => ?_) rw [@Measure.restrict_apply α m _ _ _ ht, trim_measurableSet_eq hm ht, Measure.restrict_apply (hm t ht), trim_measurableSet_eq hm (@MeasurableSet.inter α m t s ht hs)]
import Mathlib.Algebra.IsPrimePow import Mathlib.NumberTheory.ArithmeticFunction import Mathlib.Analysis.SpecialFunctions.Log.Basic #align_import number_theory.von_mangoldt from "leanprover-community/mathlib"@"c946d6097a6925ad16d7ec55677bbc977f9846de" namespace ArithmeticFunction open Finset Nat open scoped ArithmeticFunction noncomputable def log : ArithmeticFunction ℝ := ⟨fun n => Real.log n, by simp⟩ #align nat.arithmetic_function.log ArithmeticFunction.log @[simp] theorem log_apply {n : ℕ} : log n = Real.log n := rfl #align nat.arithmetic_function.log_apply ArithmeticFunction.log_apply noncomputable def vonMangoldt : ArithmeticFunction ℝ := ⟨fun n => if IsPrimePow n then Real.log (minFac n) else 0, if_neg not_isPrimePow_zero⟩ #align nat.arithmetic_function.von_mangoldt ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction] notation "Λ" => ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction.vonMangoldt] notation "Λ" => ArithmeticFunction.vonMangoldt theorem vonMangoldt_apply {n : ℕ} : Λ n = if IsPrimePow n then Real.log (minFac n) else 0 := rfl #align nat.arithmetic_function.von_mangoldt_apply ArithmeticFunction.vonMangoldt_apply @[simp] theorem vonMangoldt_apply_one : Λ 1 = 0 := by simp [vonMangoldt_apply] #align nat.arithmetic_function.von_mangoldt_apply_one ArithmeticFunction.vonMangoldt_apply_one @[simp] theorem vonMangoldt_nonneg {n : ℕ} : 0 ≤ Λ n := by rw [vonMangoldt_apply] split_ifs · exact Real.log_nonneg (one_le_cast.2 (Nat.minFac_pos n)) rfl #align nat.arithmetic_function.von_mangoldt_nonneg ArithmeticFunction.vonMangoldt_nonneg theorem vonMangoldt_apply_pow {n k : ℕ} (hk : k ≠ 0) : Λ (n ^ k) = Λ n := by simp only [vonMangoldt_apply, isPrimePow_pow_iff hk, pow_minFac hk] #align nat.arithmetic_function.von_mangoldt_apply_pow ArithmeticFunction.vonMangoldt_apply_pow theorem vonMangoldt_apply_prime {p : ℕ} (hp : p.Prime) : Λ p = Real.log p := by rw [vonMangoldt_apply, Prime.minFac_eq hp, if_pos hp.prime.isPrimePow] #align nat.arithmetic_function.von_mangoldt_apply_prime ArithmeticFunction.vonMangoldt_apply_prime
Mathlib/NumberTheory/VonMangoldt.lean
98
100
theorem vonMangoldt_ne_zero_iff {n : ℕ} : Λ n ≠ 0 ↔ IsPrimePow n := by
rcases eq_or_ne n 1 with (rfl | hn); · simp [not_isPrimePow_one] exact (Real.log_pos (one_lt_cast.2 (minFac_prime hn).one_lt)).ne'.ite_ne_right_iff
import Mathlib.Algebra.BigOperators.Group.Multiset import Mathlib.Data.Multiset.Dedup #align_import data.multiset.bind from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" assert_not_exists MonoidWithZero assert_not_exists MulAction universe v variable {α : Type*} {β : Type v} {γ δ : Type*} namespace Multiset def join : Multiset (Multiset α) → Multiset α := sum #align multiset.join Multiset.join theorem coe_join : ∀ L : List (List α), join (L.map ((↑) : List α → Multiset α) : Multiset (Multiset α)) = L.join | [] => rfl | l :: L => by exact congr_arg (fun s : Multiset α => ↑l + s) (coe_join L) #align multiset.coe_join Multiset.coe_join @[simp] theorem join_zero : @join α 0 = 0 := rfl #align multiset.join_zero Multiset.join_zero @[simp] theorem join_cons (s S) : @join α (s ::ₘ S) = s + join S := sum_cons _ _ #align multiset.join_cons Multiset.join_cons @[simp] theorem join_add (S T) : @join α (S + T) = join S + join T := sum_add _ _ #align multiset.join_add Multiset.join_add @[simp] theorem singleton_join (a) : join ({a} : Multiset (Multiset α)) = a := sum_singleton _ #align multiset.singleton_join Multiset.singleton_join @[simp] theorem mem_join {a S} : a ∈ @join α S ↔ ∃ s ∈ S, a ∈ s := Multiset.induction_on S (by simp) <| by simp (config := { contextual := true }) [or_and_right, exists_or] #align multiset.mem_join Multiset.mem_join @[simp] theorem card_join (S) : card (@join α S) = sum (map card S) := Multiset.induction_on S (by simp) (by simp) #align multiset.card_join Multiset.card_join @[simp] theorem map_join (f : α → β) (S : Multiset (Multiset α)) : map f (join S) = join (map (map f) S) := by induction S using Multiset.induction with | empty => simp | cons _ _ ih => simp [ih] @[to_additive (attr := simp)] theorem prod_join [CommMonoid α] {S : Multiset (Multiset α)} : prod (join S) = prod (map prod S) := by induction S using Multiset.induction with | empty => simp | cons _ _ ih => simp [ih] theorem rel_join {r : α → β → Prop} {s t} (h : Rel (Rel r) s t) : Rel r s.join t.join := by induction h with | zero => simp | cons hab hst ih => simpa using hab.add ih #align multiset.rel_join Multiset.rel_join section Bind variable (a : α) (s t : Multiset α) (f g : α → Multiset β) def bind (s : Multiset α) (f : α → Multiset β) : Multiset β := (s.map f).join #align multiset.bind Multiset.bind @[simp] theorem coe_bind (l : List α) (f : α → List β) : (@bind α β l fun a => f a) = l.bind f := by rw [List.bind, ← coe_join, List.map_map] rfl #align multiset.coe_bind Multiset.coe_bind @[simp] theorem zero_bind : bind 0 f = 0 := rfl #align multiset.zero_bind Multiset.zero_bind @[simp]
Mathlib/Data/Multiset/Bind.lean
126
126
theorem cons_bind : (a ::ₘ s).bind f = f a + s.bind f := by
simp [bind]
import Mathlib.Algebra.Category.MonCat.Basic import Mathlib.CategoryTheory.Limits.HasLimits import Mathlib.CategoryTheory.ConcreteCategory.Elementwise #align_import algebra.category.Mon.colimits from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v open CategoryTheory open CategoryTheory.Limits namespace MonCat.Colimits variable {J : Type v} [SmallCategory J] (F : J ⥤ MonCat.{v}) inductive Prequotient -- There's always `of` | of : ∀ (j : J) (_ : F.obj j), Prequotient -- Then one generator for each operation | one : Prequotient | mul : Prequotient → Prequotient → Prequotient set_option linter.uppercaseLean3 false in #align Mon.colimits.prequotient MonCat.Colimits.Prequotient instance : Inhabited (Prequotient F) := ⟨Prequotient.one⟩ open Prequotient inductive Relation : Prequotient F → Prequotient F → Prop-- Make it an equivalence relation: | refl : ∀ x, Relation x x | symm : ∀ (x y) (_ : Relation x y), Relation y x | trans : ∀ (x y z) (_ : Relation x y) (_ : Relation y z), Relation x z-- There's always a `map` relation | map : ∀ (j j' : J) (f : j ⟶ j') (x : F.obj j), Relation (Prequotient.of j' ((F.map f) x)) (Prequotient.of j x)-- Then one relation per operation, describing the interaction with `of` | mul : ∀ (j) (x y : F.obj j), Relation (Prequotient.of j (x * y)) (mul (Prequotient.of j x) (Prequotient.of j y)) | one : ∀ j, Relation (Prequotient.of j 1) one-- Then one relation per argument of each operation | mul_1 : ∀ (x x' y) (_ : Relation x x'), Relation (mul x y) (mul x' y) | mul_2 : ∀ (x y y') (_ : Relation y y'), Relation (mul x y) (mul x y') -- And one relation per axiom | mul_assoc : ∀ x y z, Relation (mul (mul x y) z) (mul x (mul y z)) | one_mul : ∀ x, Relation (mul one x) x | mul_one : ∀ x, Relation (mul x one) x set_option linter.uppercaseLean3 false in #align Mon.colimits.relation MonCat.Colimits.Relation def colimitSetoid : Setoid (Prequotient F) where r := Relation F iseqv := ⟨Relation.refl, Relation.symm _ _, Relation.trans _ _ _⟩ set_option linter.uppercaseLean3 false in #align Mon.colimits.colimit_setoid MonCat.Colimits.colimitSetoid attribute [instance] colimitSetoid def ColimitType : Type v := Quotient (colimitSetoid F) set_option linter.uppercaseLean3 false in #align Mon.colimits.colimit_type MonCat.Colimits.ColimitType instance : Inhabited (ColimitType F) := by dsimp [ColimitType] infer_instance instance monoidColimitType : Monoid (ColimitType F) where one := Quotient.mk _ one mul := Quotient.map₂ mul fun x x' rx y y' ry => Setoid.trans (Relation.mul_1 _ _ y rx) (Relation.mul_2 x' _ _ ry) one_mul := Quotient.ind fun _ => Quotient.sound <| Relation.one_mul _ mul_one := Quotient.ind fun _ => Quotient.sound <| Relation.mul_one _ mul_assoc := Quotient.ind fun _ => Quotient.ind₂ fun _ _ => Quotient.sound <| Relation.mul_assoc _ _ _ set_option linter.uppercaseLean3 false in #align Mon.colimits.monoid_colimit_type MonCat.Colimits.monoidColimitType @[simp] theorem quot_one : Quot.mk Setoid.r one = (1 : ColimitType F) := rfl set_option linter.uppercaseLean3 false in #align Mon.colimits.quot_one MonCat.Colimits.quot_one @[simp] theorem quot_mul (x y : Prequotient F) : Quot.mk Setoid.r (mul x y) = @HMul.hMul (ColimitType F) (ColimitType F) (ColimitType F) _ (Quot.mk Setoid.r x) (Quot.mk Setoid.r y) := rfl set_option linter.uppercaseLean3 false in #align Mon.colimits.quot_mul MonCat.Colimits.quot_mul def colimit : MonCat := ⟨ColimitType F, by infer_instance⟩ set_option linter.uppercaseLean3 false in #align Mon.colimits.colimit MonCat.Colimits.colimit def coconeFun (j : J) (x : F.obj j) : ColimitType F := Quot.mk _ (Prequotient.of j x) set_option linter.uppercaseLean3 false in #align Mon.colimits.cocone_fun MonCat.Colimits.coconeFun def coconeMorphism (j : J) : F.obj j ⟶ colimit F where toFun := coconeFun F j map_one' := Quot.sound (Relation.one _) map_mul' _ _ := Quot.sound (Relation.mul _ _ _) set_option linter.uppercaseLean3 false in #align Mon.colimits.cocone_morphism MonCat.Colimits.coconeMorphism @[simp] theorem cocone_naturality {j j' : J} (f : j ⟶ j') : F.map f ≫ coconeMorphism F j' = coconeMorphism F j := by ext apply Quot.sound apply Relation.map set_option linter.uppercaseLean3 false in #align Mon.colimits.cocone_naturality MonCat.Colimits.cocone_naturality @[simp]
Mathlib/Algebra/Category/MonCat/Colimits.lean
188
191
theorem cocone_naturality_components (j j' : J) (f : j ⟶ j') (x : F.obj j) : (coconeMorphism F j') (F.map f x) = (coconeMorphism F j) x := by
rw [← cocone_naturality F f] rfl
import Mathlib.LinearAlgebra.Isomorphisms import Mathlib.LinearAlgebra.Projection import Mathlib.Order.JordanHolder import Mathlib.Order.CompactlyGenerated.Intervals import Mathlib.LinearAlgebra.FiniteDimensional #align_import ring_theory.simple_module from "leanprover-community/mathlib"@"cce7f68a7eaadadf74c82bbac20721cdc03a1cc1" variable {ι : Type*} (R S : Type*) [Ring R] [Ring S] (M : Type*) [AddCommGroup M] [Module R M] abbrev IsSimpleModule := IsSimpleOrder (Submodule R M) #align is_simple_module IsSimpleModule abbrev IsSemisimpleModule := ComplementedLattice (Submodule R M) #align is_semisimple_module IsSemisimpleModule abbrev IsSemisimpleRing := IsSemisimpleModule R R theorem RingEquiv.isSemisimpleRing (e : R ≃+* S) [IsSemisimpleRing R] : IsSemisimpleRing S := (Submodule.orderIsoMapComap e.toSemilinearEquiv).complementedLattice -- Making this an instance causes the linter to complain of "dangerous instances" theorem IsSimpleModule.nontrivial [IsSimpleModule R M] : Nontrivial M := ⟨⟨0, by have h : (⊥ : Submodule R M) ≠ ⊤ := bot_ne_top contrapose! h ext x simp [Submodule.mem_bot, Submodule.mem_top, h x]⟩⟩ #align is_simple_module.nontrivial IsSimpleModule.nontrivial variable {m : Submodule R M} {N : Type*} [AddCommGroup N] [Module R N] {R S M} theorem LinearMap.isSimpleModule_iff_of_bijective [Module S N] {σ : R →+* S} [RingHomSurjective σ] (l : M →ₛₗ[σ] N) (hl : Function.Bijective l) : IsSimpleModule R M ↔ IsSimpleModule S N := (Submodule.orderIsoMapComapOfBijective l hl).isSimpleOrder_iff theorem IsSimpleModule.congr (l : M ≃ₗ[R] N) [IsSimpleModule R N] : IsSimpleModule R M := (Submodule.orderIsoMapComap l).isSimpleOrder #align is_simple_module.congr IsSimpleModule.congr theorem isSimpleModule_iff_isAtom : IsSimpleModule R m ↔ IsAtom m := by rw [← Set.isSimpleOrder_Iic_iff_isAtom] exact m.mapIic.isSimpleOrder_iff #align is_simple_module_iff_is_atom isSimpleModule_iff_isAtom
Mathlib/RingTheory/SimpleModule.lean
91
94
theorem isSimpleModule_iff_isCoatom : IsSimpleModule R (M ⧸ m) ↔ IsCoatom m := by
rw [← Set.isSimpleOrder_Ici_iff_isCoatom] apply OrderIso.isSimpleOrder_iff exact Submodule.comapMkQRelIso m
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.IdealOperations import Mathlib.Order.Hom.Basic #align_import algebra.lie.solvable from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476" universe u v w w₁ w₂ variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L'] variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L} namespace LieAlgebra def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L := (fun I => ⁅I, I⁆)^[k] #align lie_algebra.derived_series_of_ideal LieAlgebra.derivedSeriesOfIdeal @[simp] theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I := rfl #align lie_algebra.derived_series_of_ideal_zero LieAlgebra.derivedSeriesOfIdeal_zero @[simp] theorem derivedSeriesOfIdeal_succ (k : ℕ) : derivedSeriesOfIdeal R L (k + 1) I = ⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ := Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I #align lie_algebra.derived_series_of_ideal_succ LieAlgebra.derivedSeriesOfIdeal_succ abbrev derivedSeries (k : ℕ) : LieIdeal R L := derivedSeriesOfIdeal R L k ⊤ #align lie_algebra.derived_series LieAlgebra.derivedSeries theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ := rfl #align lie_algebra.derived_series_def LieAlgebra.derivedSeries_def variable {R L} local notation "D" => derivedSeriesOfIdeal R L theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by induction' k with k ih · rw [Nat.zero_add, derivedSeriesOfIdeal_zero] · rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih] #align lie_algebra.derived_series_of_ideal_add LieAlgebra.derivedSeriesOfIdeal_add @[mono] theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) : D k I ≤ D l J := by revert l; induction' k with k ih <;> intro l h₂ · rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁ · have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂ cases' h with h h · rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ] exact LieSubmodule.mono_lie _ _ _ _ (ih (le_refl k)) (ih (le_refl k)) · rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h) #align lie_algebra.derived_series_of_ideal_le LieAlgebra.derivedSeriesOfIdeal_le theorem derivedSeriesOfIdeal_succ_le (k : ℕ) : D (k + 1) I ≤ D k I := derivedSeriesOfIdeal_le (le_refl I) k.le_succ #align lie_algebra.derived_series_of_ideal_succ_le LieAlgebra.derivedSeriesOfIdeal_succ_le theorem derivedSeriesOfIdeal_le_self (k : ℕ) : D k I ≤ I := derivedSeriesOfIdeal_le (le_refl I) (zero_le k) #align lie_algebra.derived_series_of_ideal_le_self LieAlgebra.derivedSeriesOfIdeal_le_self theorem derivedSeriesOfIdeal_mono {I J : LieIdeal R L} (h : I ≤ J) (k : ℕ) : D k I ≤ D k J := derivedSeriesOfIdeal_le h (le_refl k) #align lie_algebra.derived_series_of_ideal_mono LieAlgebra.derivedSeriesOfIdeal_mono theorem derivedSeriesOfIdeal_antitone {k l : ℕ} (h : l ≤ k) : D k I ≤ D l I := derivedSeriesOfIdeal_le (le_refl I) h #align lie_algebra.derived_series_of_ideal_antitone LieAlgebra.derivedSeriesOfIdeal_antitone
Mathlib/Algebra/Lie/Solvable.lean
116
124
theorem derivedSeriesOfIdeal_add_le_add (J : LieIdeal R L) (k l : ℕ) : D (k + l) (I + J) ≤ D k I + D l J := by
let D₁ : LieIdeal R L →o LieIdeal R L := { toFun := fun I => ⁅I, I⁆ monotone' := fun I J h => LieSubmodule.mono_lie I J I J h h } have h₁ : ∀ I J : LieIdeal R L, D₁ (I ⊔ J) ≤ D₁ I ⊔ J := by simp [D₁, LieSubmodule.lie_le_right, LieSubmodule.lie_le_left, le_sup_of_le_right] rw [← D₁.iterate_sup_le_sup_iff] at h₁ exact h₁ k l I J
import Mathlib.Data.Finset.Prod import Mathlib.Data.Set.Finite #align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0" open Function Set variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} namespace Finset variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ] [DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ} {s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ} def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ := (s ×ˢ t).image <| uncurry f #align finset.image₂ Finset.image₂ @[simp] theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by simp [image₂, and_assoc] #align finset.mem_image₂ Finset.mem_image₂ @[simp, norm_cast] theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : (image₂ f s t : Set γ) = Set.image2 f s t := Set.ext fun _ => mem_image₂ #align finset.coe_image₂ Finset.coe_image₂ theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) : (image₂ f s t).card ≤ s.card * t.card := card_image_le.trans_eq <| card_product _ _ #align finset.card_image₂_le Finset.card_image₂_le theorem card_image₂_iff : (image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by rw [← card_product, ← coe_product] exact card_image_iff #align finset.card_image₂_iff Finset.card_image₂_iff theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) : (image₂ f s t).card = s.card * t.card := (card_image_of_injective _ hf.uncurry).trans <| card_product _ _ #align finset.card_image₂ Finset.card_image₂ theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t := mem_image₂.2 ⟨a, ha, b, hb, rfl⟩ #align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem
Mathlib/Data/Finset/NAry.lean
73
74
theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by
rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe]
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _ #align is_bounded_linear_map.snd IsBoundedLinearMap.snd variable {f g : E → F} theorem smul (c : 𝕜) (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 (c • f) := let ⟨hlf, M, _, hM⟩ := hf (c • hlf.mk' f).isLinear.with_bound (‖c‖ * M) fun x => calc ‖c • f x‖ = ‖c‖ * ‖f x‖ := norm_smul c (f x) _ ≤ ‖c‖ * (M * ‖x‖) := mul_le_mul_of_nonneg_left (hM _) (norm_nonneg _) _ = ‖c‖ * M * ‖x‖ := (mul_assoc _ _ _).symm #align is_bounded_linear_map.smul IsBoundedLinearMap.smul theorem neg (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 fun e => -f e := by rw [show (fun e => -f e) = fun e => (-1 : 𝕜) • f e by funext; simp] exact smul (-1) hf #align is_bounded_linear_map.neg IsBoundedLinearMap.neg
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
144
151
theorem add (hf : IsBoundedLinearMap 𝕜 f) (hg : IsBoundedLinearMap 𝕜 g) : IsBoundedLinearMap 𝕜 fun e => f e + g e := let ⟨hlf, Mf, _, hMf⟩ := hf let ⟨hlg, Mg, _, hMg⟩ := hg (hlf.mk' _ + hlg.mk' _).isLinear.with_bound (Mf + Mg) fun x => calc ‖f x + g x‖ ≤ Mf * ‖x‖ + Mg * ‖x‖ := norm_add_le_of_le (hMf x) (hMg x) _ ≤ (Mf + Mg) * ‖x‖ := by
rw [add_mul]
import Mathlib.Topology.MetricSpace.PseudoMetric import Mathlib.Topology.UniformSpace.Equicontinuity #align_import topology.metric_space.equicontinuity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Topology Uniformity variable {α β ι : Type*} [PseudoMetricSpace α] namespace Metric theorem equicontinuousAt_iff_right {ι : Type*} [TopologicalSpace β] {F : ι → β → α} {x₀ : β} : EquicontinuousAt F x₀ ↔ ∀ ε > 0, ∀ᶠ x in 𝓝 x₀, ∀ i, dist (F i x₀) (F i x) < ε := uniformity_basis_dist.equicontinuousAt_iff_right #align metric.equicontinuous_at_iff_right Metric.equicontinuousAt_iff_right theorem equicontinuousAt_iff {ι : Type*} [PseudoMetricSpace β] {F : ι → β → α} {x₀ : β} : EquicontinuousAt F x₀ ↔ ∀ ε > 0, ∃ δ > 0, ∀ x, dist x x₀ < δ → ∀ i, dist (F i x₀) (F i x) < ε := nhds_basis_ball.equicontinuousAt_iff uniformity_basis_dist #align metric.equicontinuous_at_iff Metric.equicontinuousAt_iff protected theorem equicontinuousAt_iff_pair {ι : Type*} [TopologicalSpace β] {F : ι → β → α} {x₀ : β} : EquicontinuousAt F x₀ ↔ ∀ ε > 0, ∃ U ∈ 𝓝 x₀, ∀ x ∈ U, ∀ x' ∈ U, ∀ i, dist (F i x) (F i x') < ε := by rw [equicontinuousAt_iff_pair] constructor <;> intro H · intro ε hε exact H _ (dist_mem_uniformity hε) · intro U hU rcases mem_uniformity_dist.mp hU with ⟨ε, hε, hεU⟩ refine Exists.imp (fun V => And.imp_right fun h => ?_) (H _ hε) exact fun x hx x' hx' i => hεU (h _ hx _ hx' i) #align metric.equicontinuous_at_iff_pair Metric.equicontinuousAt_iff_pair theorem uniformEquicontinuous_iff_right {ι : Type*} [UniformSpace β] {F : ι → β → α} : UniformEquicontinuous F ↔ ∀ ε > 0, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, dist (F i xy.1) (F i xy.2) < ε := uniformity_basis_dist.uniformEquicontinuous_iff_right #align metric.uniform_equicontinuous_iff_right Metric.uniformEquicontinuous_iff_right theorem uniformEquicontinuous_iff {ι : Type*} [PseudoMetricSpace β] {F : ι → β → α} : UniformEquicontinuous F ↔ ∀ ε > 0, ∃ δ > 0, ∀ x y, dist x y < δ → ∀ i, dist (F i x) (F i y) < ε := uniformity_basis_dist.uniformEquicontinuous_iff uniformity_basis_dist #align metric.uniform_equicontinuous_iff Metric.uniformEquicontinuous_iff theorem equicontinuousAt_of_continuity_modulus {ι : Type*} [TopologicalSpace β] {x₀ : β} (b : β → ℝ) (b_lim : Tendsto b (𝓝 x₀) (𝓝 0)) (F : ι → β → α) (H : ∀ᶠ x in 𝓝 x₀, ∀ i, dist (F i x₀) (F i x) ≤ b x) : EquicontinuousAt F x₀ := by rw [Metric.equicontinuousAt_iff_right] intro ε ε0 -- Porting note: Lean 3 didn't need `Filter.mem_map.mp` here filter_upwards [Filter.mem_map.mp <| b_lim (Iio_mem_nhds ε0), H] using fun x hx₁ hx₂ i => (hx₂ i).trans_lt hx₁ #align metric.equicontinuous_at_of_continuity_modulus Metric.equicontinuousAt_of_continuity_modulus
Mathlib/Topology/MetricSpace/Equicontinuity.lean
103
114
theorem uniformEquicontinuous_of_continuity_modulus {ι : Type*} [PseudoMetricSpace β] (b : ℝ → ℝ) (b_lim : Tendsto b (𝓝 0) (𝓝 0)) (F : ι → β → α) (H : ∀ (x y : β) (i), dist (F i x) (F i y) ≤ b (dist x y)) : UniformEquicontinuous F := by
rw [Metric.uniformEquicontinuous_iff] intro ε ε0 rcases tendsto_nhds_nhds.1 b_lim ε ε0 with ⟨δ, δ0, hδ⟩ refine ⟨δ, δ0, fun x y hxy i => ?_⟩ calc dist (F i x) (F i y) ≤ b (dist x y) := H x y i _ ≤ |b (dist x y)| := le_abs_self _ _ = dist (b (dist x y)) 0 := by simp [Real.dist_eq] _ < ε := hδ (by simpa only [Real.dist_eq, tsub_zero, abs_dist] using hxy)
import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import control.traversable.lemmas from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d" universe u open LawfulTraversable open Function hiding comp open Functor attribute [functor_norm] LawfulTraversable.naturality attribute [simp] LawfulTraversable.id_traverse namespace Traversable variable {t : Type u → Type u} variable [Traversable t] [LawfulTraversable t] variable (F G : Type u → Type u) variable [Applicative F] [LawfulApplicative F] variable [Applicative G] [LawfulApplicative G] variable {α β γ : Type u} variable (g : α → F β) variable (h : β → G γ) variable (f : β → γ) def PureTransformation : ApplicativeTransformation Id F where app := @pure F _ preserves_pure' x := rfl preserves_seq' f x := by simp only [map_pure, seq_pure] rfl #align traversable.pure_transformation Traversable.PureTransformation @[simp] theorem pureTransformation_apply {α} (x : id α) : PureTransformation F x = pure x := rfl #align traversable.pure_transformation_apply Traversable.pureTransformation_apply variable {F G} (x : t β) -- Porting note: need to specify `m/F/G := Id` because `id` no longer has a `Monad` instance theorem map_eq_traverse_id : map (f := t) f = traverse (m := Id) (pure ∘ f) := funext fun y => (traverse_eq_map_id f y).symm #align traversable.map_eq_traverse_id Traversable.map_eq_traverse_id theorem map_traverse (x : t α) : map f <$> traverse g x = traverse (map f ∘ g) x := by rw [map_eq_traverse_id f] refine (comp_traverse (pure ∘ f) g x).symm.trans ?_ congr; apply Comp.applicative_comp_id #align traversable.map_traverse Traversable.map_traverse theorem traverse_map (f : β → F γ) (g : α → β) (x : t α) : traverse f (g <$> x) = traverse (f ∘ g) x := by rw [@map_eq_traverse_id t _ _ _ _ g] refine (comp_traverse (G := Id) f (pure ∘ g) x).symm.trans ?_ congr; apply Comp.applicative_id_comp #align traversable.traverse_map Traversable.traverse_map theorem pure_traverse (x : t α) : traverse pure x = (pure x : F (t α)) := by have : traverse pure x = pure (traverse (m := Id) pure x) := (naturality (PureTransformation F) pure x).symm rwa [id_traverse] at this #align traversable.pure_traverse Traversable.pure_traverse theorem id_sequence (x : t α) : sequence (f := Id) (pure <$> x) = pure x := by simp [sequence, traverse_map, id_traverse] #align traversable.id_sequence Traversable.id_sequence theorem comp_sequence (x : t (F (G α))) : sequence (Comp.mk <$> x) = Comp.mk (sequence <$> sequence x) := by simp only [sequence, traverse_map, id_comp]; rw [← comp_traverse]; simp [map_id] #align traversable.comp_sequence Traversable.comp_sequence
Mathlib/Control/Traversable/Lemmas.lean
98
99
theorem naturality' (η : ApplicativeTransformation F G) (x : t (F α)) : η (sequence x) = sequence (@η _ <$> x) := by
simp [sequence, naturality, traverse_map]
import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.compression.uv from "leanprover-community/mathlib"@"6f8ab7de1c4b78a68ab8cf7dd83d549eb78a68a1" open Finset variable {α : Type*} theorem sup_sdiff_injOn [GeneralizedBooleanAlgebra α] (u v : α) : { x | Disjoint u x ∧ v ≤ x }.InjOn fun x => (x ⊔ u) \ v := by rintro a ha b hb hab have h : ((a ⊔ u) \ v) \ u ⊔ v = ((b ⊔ u) \ v) \ u ⊔ v := by dsimp at hab rw [hab] rwa [sdiff_sdiff_comm, ha.1.symm.sup_sdiff_cancel_right, sdiff_sdiff_comm, hb.1.symm.sup_sdiff_cancel_right, sdiff_sup_cancel ha.2, sdiff_sup_cancel hb.2] at h #align sup_sdiff_inj_on sup_sdiff_injOn -- The namespace is here to distinguish from other compressions. namespace UV section GeneralizedBooleanAlgebra variable [GeneralizedBooleanAlgebra α] [DecidableRel (@Disjoint α _ _)] [DecidableRel ((· ≤ ·) : α → α → Prop)] {s : Finset α} {u v a b : α} def compress (u v a : α) : α := if Disjoint u a ∧ v ≤ a then (a ⊔ u) \ v else a #align uv.compress UV.compress theorem compress_of_disjoint_of_le (hua : Disjoint u a) (hva : v ≤ a) : compress u v a = (a ⊔ u) \ v := if_pos ⟨hua, hva⟩ #align uv.compress_of_disjoint_of_le UV.compress_of_disjoint_of_le theorem compress_of_disjoint_of_le' (hva : Disjoint v a) (hua : u ≤ a) : compress u v ((a ⊔ v) \ u) = a := by rw [compress_of_disjoint_of_le disjoint_sdiff_self_right (le_sdiff.2 ⟨(le_sup_right : v ≤ a ⊔ v), hva.mono_right hua⟩), sdiff_sup_cancel (le_sup_of_le_left hua), hva.symm.sup_sdiff_cancel_right] #align uv.compress_of_disjoint_of_le' UV.compress_of_disjoint_of_le' @[simp]
Mathlib/Combinatorics/SetFamily/Compression/UV.lean
98
102
theorem compress_self (u a : α) : compress u u a = a := by
unfold compress split_ifs with h · exact h.1.symm.sup_sdiff_cancel_right · rfl
import Mathlib.Combinatorics.SimpleGraph.Connectivity #align_import combinatorics.simple_graph.prod from "leanprover-community/mathlib"@"2985fa3c31a27274aed06c433510bc14b73d6488" variable {α β γ : Type*} namespace SimpleGraph -- Porting note: pruned variables to keep things out of local contexts, which -- can impact how generalization works, or what aesop does. variable {G : SimpleGraph α} {H : SimpleGraph β} def boxProd (G : SimpleGraph α) (H : SimpleGraph β) : SimpleGraph (α × β) where Adj x y := G.Adj x.1 y.1 ∧ x.2 = y.2 ∨ H.Adj x.2 y.2 ∧ x.1 = y.1 symm x y := by simp [and_comm, or_comm, eq_comm, adj_comm] loopless x := by simp #align simple_graph.box_prod SimpleGraph.boxProd infixl:70 " □ " => boxProd set_option autoImplicit true in @[simp] theorem boxProd_adj : (G □ H).Adj x y ↔ G.Adj x.1 y.1 ∧ x.2 = y.2 ∨ H.Adj x.2 y.2 ∧ x.1 = y.1 := Iff.rfl #align simple_graph.box_prod_adj SimpleGraph.boxProd_adj set_option autoImplicit true in --@[simp] Porting note (#10618): `simp` can prove
Mathlib/Combinatorics/SimpleGraph/Prod.lean
59
60
theorem boxProd_adj_left : (G □ H).Adj (a₁, b) (a₂, b) ↔ G.Adj a₁ a₂ := by
simp only [boxProd_adj, and_true, SimpleGraph.irrefl, false_and, or_false]
import Mathlib.Algebra.CharP.Invertible import Mathlib.Algebra.Order.Invertible import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Algebra.Order.Group.Instances import Mathlib.LinearAlgebra.AffineSpace.Slope import Mathlib.LinearAlgebra.AffineSpace.Midpoint import Mathlib.Tactic.FieldSimp #align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733" open AffineMap variable {k E PE : Type*} section OrderedRing variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E] variable {a a' b b' : E} {r r' : k}
Mathlib/LinearAlgebra/AffineSpace/Ordered.lean
52
54
theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by
simp only [lineMap_apply_module] exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
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]
Mathlib/Data/Int/GCD.lean
48
48
theorem xgcd_zero_left {s t r' s' t'} : xgcdAux 0 s t r' s' t' = (r', s', t') := by
simp [xgcdAux]
import Mathlib.MeasureTheory.Measure.Haar.InnerProductSpace import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.measure.haar.normed_space from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5" noncomputable section open scoped NNReal ENNReal Pointwise Topology open Inv Set Function MeasureTheory.Measure Filter open FiniteDimensional namespace MeasureTheory namespace Measure example {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [Nontrivial E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] : NoAtoms μ := by infer_instance 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] variable {s : Set E} theorem integral_comp_smul (f : E → F) (R : ℝ) : ∫ x, f (R • x) ∂μ = |(R ^ finrank ℝ E)⁻¹| • ∫ x, f x ∂μ := by by_cases hF : CompleteSpace F; swap · simp [integral, hF] rcases eq_or_ne R 0 with (rfl | hR) · simp only [zero_smul, integral_const] rcases Nat.eq_zero_or_pos (finrank ℝ E) with (hE | hE) · have : Subsingleton E := finrank_zero_iff.1 hE have : f = fun _ => f 0 := by ext x; rw [Subsingleton.elim x 0] conv_rhs => rw [this] simp only [hE, pow_zero, inv_one, abs_one, one_smul, integral_const] · have : Nontrivial E := finrank_pos_iff.1 hE simp only [zero_pow hE.ne', measure_univ_of_isAddLeftInvariant, ENNReal.top_toReal, zero_smul, inv_zero, abs_zero] · calc (∫ x, f (R • x) ∂μ) = ∫ y, f y ∂Measure.map (fun x => R • x) μ := (integral_map_equiv (Homeomorph.smul (isUnit_iff_ne_zero.2 hR).unit).toMeasurableEquiv f).symm _ = |(R ^ finrank ℝ E)⁻¹| • ∫ x, f x ∂μ := by simp only [map_addHaar_smul μ hR, integral_smul_measure, ENNReal.toReal_ofReal, abs_nonneg] #align measure_theory.measure.integral_comp_smul MeasureTheory.Measure.integral_comp_smul theorem integral_comp_smul_of_nonneg (f : E → F) (R : ℝ) {hR : 0 ≤ R} : ∫ x, f (R • x) ∂μ = (R ^ finrank ℝ E)⁻¹ • ∫ x, f x ∂μ := by rw [integral_comp_smul μ f R, abs_of_nonneg (inv_nonneg.2 (pow_nonneg hR _))] #align measure_theory.measure.integral_comp_smul_of_nonneg MeasureTheory.Measure.integral_comp_smul_of_nonneg
Mathlib/MeasureTheory/Measure/Haar/NormedSpace.lean
97
99
theorem integral_comp_inv_smul (f : E → F) (R : ℝ) : ∫ x, f (R⁻¹ • x) ∂μ = |R ^ finrank ℝ E| • ∫ x, f x ∂μ := by
rw [integral_comp_smul μ f R⁻¹, inv_pow, inv_inv]
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral section InvGamma open scoped Real namespace Complex
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
530
534
theorem one_div_Gamma_eq_self_mul_one_div_Gamma_add_one (s : ℂ) : (Gamma s)⁻¹ = s * (Gamma (s + 1))⁻¹ := by
rcases ne_or_eq s 0 with (h | rfl) · rw [Gamma_add_one s h, mul_inv, mul_inv_cancel_left₀ h] · rw [zero_add, Gamma_zero, inv_zero, zero_mul]
import Mathlib.Data.Set.Lattice import Mathlib.Data.Set.Pairwise.Basic #align_import data.set.pairwise.lattice from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d" open Function Set Order variable {α β γ ι ι' : Type*} {κ : Sort*} {r p q : α → α → Prop} section Pairwise variable {f g : ι → α} {s t u : Set α} {a b : α} namespace Set section variable {f : ι → Set α} {s t : Set ι}
Mathlib/Data/Set/Pairwise/Lattice.lean
147
153
theorem Set.PairwiseDisjoint.subset_of_biUnion_subset_biUnion (h₀ : (s ∪ t).PairwiseDisjoint f) (h₁ : ∀ i ∈ s, (f i).Nonempty) (h : ⋃ i ∈ s, f i ⊆ ⋃ i ∈ t, f i) : s ⊆ t := by
rintro i hi obtain ⟨a, hai⟩ := h₁ i hi obtain ⟨j, hj, haj⟩ := mem_iUnion₂.1 (h <| mem_iUnion₂_of_mem hi hai) rwa [h₀.eq (subset_union_left hi) (subset_union_right hj) (not_disjoint_iff.2 ⟨a, hai, haj⟩)]
import Mathlib.Algebra.Category.ModuleCat.EpiMono import Mathlib.Algebra.Category.ModuleCat.Kernels import Mathlib.CategoryTheory.Subobject.WellPowered import Mathlib.CategoryTheory.Subobject.Limits #align_import algebra.category.Module.subobject from "leanprover-community/mathlib"@"6d584f1709bedbed9175bd9350df46599bdd7213" open CategoryTheory open CategoryTheory.Subobject open CategoryTheory.Limits open ModuleCat universe v u namespace ModuleCat set_option linter.uppercaseLean3 false -- `Module` variable {R : Type u} [Ring R] (M : ModuleCat.{v} R) noncomputable def subobjectModule : Subobject M ≃o Submodule R M := OrderIso.symm { invFun := fun S => LinearMap.range S.arrow toFun := fun N => Subobject.mk (↾N.subtype) right_inv := fun S => Eq.symm (by fapply eq_mk_of_comm · apply LinearEquiv.toModuleIso'Left apply LinearEquiv.ofBijective (LinearMap.codRestrict (LinearMap.range S.arrow) S.arrow _) constructor · simp [← LinearMap.ker_eq_bot, LinearMap.ker_codRestrict] rw [ker_eq_bot_of_mono] · rw [← LinearMap.range_eq_top, LinearMap.range_codRestrict, Submodule.comap_subtype_self] exact LinearMap.mem_range_self _ · apply LinearMap.ext intro x rfl) left_inv := fun N => by -- Porting note: The type of `↾N.subtype` was ambiguous. Not entirely sure, I made the right -- choice here convert congr_arg LinearMap.range (underlyingIso_arrow (↾N.subtype : of R { x // x ∈ N } ⟶ M)) using 1 · have : -- Porting note: added the `.toLinearEquiv.toLinearMap` (underlyingIso (↾N.subtype : of R _ ⟶ M)).inv = (underlyingIso (↾N.subtype : of R _ ⟶ M)).symm.toLinearEquiv.toLinearMap := by apply LinearMap.ext intro x rfl rw [this, comp_def, LinearEquiv.range_comp] · exact (Submodule.range_subtype _).symm map_rel_iff' := fun {S T} => by refine ⟨fun h => ?_, fun h => mk_le_mk_of_comm (↟(Submodule.inclusion h)) rfl⟩ convert LinearMap.range_comp_le_range (ofMkLEMk _ _ h) (↾T.subtype) · simpa only [← comp_def, ofMkLEMk_comp] using (Submodule.range_subtype _).symm · exact (Submodule.range_subtype _).symm } #align Module.subobject_Module ModuleCat.subobjectModule instance wellPowered_moduleCat : WellPowered (ModuleCat.{v} R) := ⟨fun M => ⟨⟨_, ⟨(subobjectModule M).toEquiv⟩⟩⟩⟩ #align Module.well_powered_Module ModuleCat.wellPowered_moduleCat attribute [local instance] hasKernels_moduleCat noncomputable def toKernelSubobject {M N : ModuleCat.{v} R} {f : M ⟶ N} : LinearMap.ker f →ₗ[R] kernelSubobject f := (kernelSubobjectIso f ≪≫ ModuleCat.kernelIsoKer f).inv #align Module.to_kernel_subobject ModuleCat.toKernelSubobject @[simp] theorem toKernelSubobject_arrow {M N : ModuleCat R} {f : M ⟶ N} (x : LinearMap.ker f) : (kernelSubobject f).arrow (toKernelSubobject x) = x.1 := by -- Porting note: The whole proof was just `simp [toKernelSubobject]`. suffices ((arrow ((kernelSubobject f))) ∘ (kernelSubobjectIso f ≪≫ kernelIsoKer f).inv) x = x by convert this rw [Iso.trans_inv, ← coe_comp, Category.assoc] simp only [Category.assoc, kernelSubobject_arrow', kernelIsoKer_inv_kernel_ι] aesop_cat #align Module.to_kernel_subobject_arrow ModuleCat.toKernelSubobject_arrow -- Porting note (#11215): TODO compiler complains that this is marked with `@[ext]`. -- Should this be changed? -- @[ext] this is no longer an ext lemma under the current interpretation see eg -- the conversation beginning at -- https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/ -- Goal.20state.20not.20updating.2C.20bugs.2C.20etc.2E/near/338456803
Mathlib/Algebra/Category/ModuleCat/Subobject.lean
111
120
theorem cokernel_π_imageSubobject_ext {L M N : ModuleCat.{v} R} (f : L ⟶ M) [HasImage f] (g : (imageSubobject f : ModuleCat.{v} R) ⟶ N) [HasCokernel g] {x y : N} (l : L) (w : x = y + g (factorThruImageSubobject f l)) : cokernel.π g x = cokernel.π g y := by
subst w -- Porting note: The proof from here used to just be `simp`. simp only [map_add, add_right_eq_self] change ((cokernel.π g) ∘ (g) ∘ (factorThruImageSubobject f)) l = 0 rw [← coe_comp, ← coe_comp, Category.assoc] simp only [cokernel.condition, comp_zero] rfl
import Mathlib.Algebra.Group.Commute.Basic import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Perm.Basic #align_import group_theory.perm.support from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Equiv Finset namespace Equiv.Perm variable {α : Type*} section support section Set variable (p q : Perm α) theorem set_support_inv_eq : { x | p⁻¹ x ≠ x } = { x | p x ≠ x } := by ext x simp only [Set.mem_setOf_eq, Ne] rw [inv_def, symm_apply_eq, eq_comm] #align equiv.perm.set_support_inv_eq Equiv.Perm.set_support_inv_eq
Mathlib/GroupTheory/Perm/Support.lean
270
271
theorem set_support_apply_mem {p : Perm α} {a : α} : p a ∈ { x | p x ≠ x } ↔ a ∈ { x | p x ≠ x } := by
simp
import Mathlib.Algebra.Module.Equiv import Mathlib.Algebra.Module.Submodule.Basic import Mathlib.Algebra.PUnitInstances import Mathlib.Data.Set.Subsingleton #align_import algebra.module.submodule.lattice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" universe v variable {R S M : Type*} section AddCommMonoid variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] [Module S M] variable [SMul S R] [IsScalarTower S R M] variable {p q : Submodule R M} namespace Submodule instance : Bot (Submodule R M) := ⟨{ (⊥ : AddSubmonoid M) with carrier := {0} smul_mem' := by simp }⟩ instance inhabited' : Inhabited (Submodule R M) := ⟨⊥⟩ #align submodule.inhabited' Submodule.inhabited' @[simp] theorem bot_coe : ((⊥ : Submodule R M) : Set M) = {0} := rfl #align submodule.bot_coe Submodule.bot_coe @[simp] theorem bot_toAddSubmonoid : (⊥ : Submodule R M).toAddSubmonoid = ⊥ := rfl #align submodule.bot_to_add_submonoid Submodule.bot_toAddSubmonoid @[simp] lemma bot_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] : (⊥ : Submodule R M).toAddSubgroup = ⊥ := rfl variable (R) in @[simp] theorem mem_bot {x : M} : x ∈ (⊥ : Submodule R M) ↔ x = 0 := Set.mem_singleton_iff #align submodule.mem_bot Submodule.mem_bot instance uniqueBot : Unique (⊥ : Submodule R M) := ⟨inferInstance, fun x ↦ Subtype.ext <| (mem_bot R).1 x.mem⟩ #align submodule.unique_bot Submodule.uniqueBot instance : OrderBot (Submodule R M) where bot := ⊥ bot_le p x := by simp (config := { contextual := true }) [zero_mem] protected theorem eq_bot_iff (p : Submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) := ⟨fun h ↦ h.symm ▸ fun _ hx ↦ (mem_bot R).mp hx, fun h ↦ eq_bot_iff.mpr fun x hx ↦ (mem_bot R).mpr (h x hx)⟩ #align submodule.eq_bot_iff Submodule.eq_bot_iff @[ext high] protected theorem bot_ext (x y : (⊥ : Submodule R M)) : x = y := by rcases x with ⟨x, xm⟩; rcases y with ⟨y, ym⟩; congr rw [(Submodule.eq_bot_iff _).mp rfl x xm] rw [(Submodule.eq_bot_iff _).mp rfl y ym] #align submodule.bot_ext Submodule.bot_ext protected theorem ne_bot_iff (p : Submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) := by simp only [ne_eq, p.eq_bot_iff, not_forall, exists_prop] #align submodule.ne_bot_iff Submodule.ne_bot_iff theorem nonzero_mem_of_bot_lt {p : Submodule R M} (bot_lt : ⊥ < p) : ∃ a : p, a ≠ 0 := let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp bot_lt.ne' ⟨⟨b, hb₁⟩, hb₂ ∘ congr_arg Subtype.val⟩ #align submodule.nonzero_mem_of_bot_lt Submodule.nonzero_mem_of_bot_lt theorem exists_mem_ne_zero_of_ne_bot {p : Submodule R M} (h : p ≠ ⊥) : ∃ b : M, b ∈ p ∧ b ≠ 0 := let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp h ⟨b, hb₁, hb₂⟩ #align submodule.exists_mem_ne_zero_of_ne_bot Submodule.exists_mem_ne_zero_of_ne_bot -- FIXME: we default PUnit to PUnit.{1} here without the explicit universe annotation @[simps] def botEquivPUnit : (⊥ : Submodule R M) ≃ₗ[R] PUnit.{v+1} where toFun _ := PUnit.unit invFun _ := 0 map_add' _ _ := rfl map_smul' _ _ := rfl left_inv _ := Subsingleton.elim _ _ right_inv _ := rfl #align submodule.bot_equiv_punit Submodule.botEquivPUnit theorem subsingleton_iff_eq_bot : Subsingleton p ↔ p = ⊥ := by rw [subsingleton_iff, Submodule.eq_bot_iff] refine ⟨fun h x hx ↦ by simpa using h ⟨x, hx⟩ ⟨0, p.zero_mem⟩, fun h ⟨x, hx⟩ ⟨y, hy⟩ ↦ by simp [h x hx, h y hy]⟩ theorem eq_bot_of_subsingleton [Subsingleton p] : p = ⊥ := subsingleton_iff_eq_bot.mp inferInstance #align submodule.eq_bot_of_subsingleton Submodule.eq_bot_of_subsingleton
Mathlib/Algebra/Module/Submodule/Lattice.lean
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theorem nontrivial_iff_ne_bot : Nontrivial p ↔ p ≠ ⊥ := by
rw [iff_not_comm, not_nontrivial_iff_subsingleton, subsingleton_iff_eq_bot]
import Mathlib.RingTheory.Nilpotent.Basic import Mathlib.RingTheory.UniqueFactorizationDomain #align_import algebra.squarefree from "leanprover-community/mathlib"@"00d163e35035c3577c1c79fa53b68de17781ffc1" variable {R : Type*} def Squarefree [Monoid R] (r : R) : Prop := ∀ x : R, x * x ∣ r → IsUnit x #align squarefree Squarefree theorem IsRelPrime.of_squarefree_mul [CommMonoid R] {m n : R} (h : Squarefree (m * n)) : IsRelPrime m n := fun c hca hcb ↦ h c (mul_dvd_mul hca hcb) @[simp] theorem IsUnit.squarefree [CommMonoid R] {x : R} (h : IsUnit x) : Squarefree x := fun _ hdvd => isUnit_of_mul_isUnit_left (isUnit_of_dvd_unit hdvd h) #align is_unit.squarefree IsUnit.squarefree -- @[simp] -- Porting note (#10618): simp can prove this theorem squarefree_one [CommMonoid R] : Squarefree (1 : R) := isUnit_one.squarefree #align squarefree_one squarefree_one @[simp] theorem not_squarefree_zero [MonoidWithZero R] [Nontrivial R] : ¬Squarefree (0 : R) := by erw [not_forall] exact ⟨0, by simp⟩ #align not_squarefree_zero not_squarefree_zero theorem Squarefree.ne_zero [MonoidWithZero R] [Nontrivial R] {m : R} (hm : Squarefree (m : R)) : m ≠ 0 := by rintro rfl exact not_squarefree_zero hm #align squarefree.ne_zero Squarefree.ne_zero @[simp] theorem Irreducible.squarefree [CommMonoid R] {x : R} (h : Irreducible x) : Squarefree x := by rintro y ⟨z, hz⟩ rw [mul_assoc] at hz rcases h.isUnit_or_isUnit hz with (hu | hu) · exact hu · apply isUnit_of_mul_isUnit_left hu #align irreducible.squarefree Irreducible.squarefree @[simp] theorem Prime.squarefree [CancelCommMonoidWithZero R] {x : R} (h : Prime x) : Squarefree x := h.irreducible.squarefree #align prime.squarefree Prime.squarefree theorem Squarefree.of_mul_left [CommMonoid R] {m n : R} (hmn : Squarefree (m * n)) : Squarefree m := fun p hp => hmn p (dvd_mul_of_dvd_left hp n) #align squarefree.of_mul_left Squarefree.of_mul_left theorem Squarefree.of_mul_right [CommMonoid R] {m n : R} (hmn : Squarefree (m * n)) : Squarefree n := fun p hp => hmn p (dvd_mul_of_dvd_right hp m) #align squarefree.of_mul_right Squarefree.of_mul_right theorem Squarefree.squarefree_of_dvd [CommMonoid R] {x y : R} (hdvd : x ∣ y) (hsq : Squarefree y) : Squarefree x := fun _ h => hsq _ (h.trans hdvd) #align squarefree.squarefree_of_dvd Squarefree.squarefree_of_dvd theorem Squarefree.eq_zero_or_one_of_pow_of_not_isUnit [CommMonoid R] {x : R} {n : ℕ} (h : Squarefree (x ^ n)) (h' : ¬ IsUnit x) : n = 0 ∨ n = 1 := by contrapose! h' replace h' : 2 ≤ n := by omega have : x * x ∣ x ^ n := by rw [← sq]; exact pow_dvd_pow x h' exact h.squarefree_of_dvd this x (refl _) namespace multiplicity section Irreducible variable [CommMonoidWithZero R] [WfDvdMonoid R] theorem squarefree_iff_no_irreducibles {x : R} (hx₀ : x ≠ 0) : Squarefree x ↔ ∀ p, Irreducible p → ¬ (p * p ∣ x) := by refine ⟨fun h p hp hp' ↦ hp.not_unit (h p hp'), fun h d hd ↦ by_contra fun hdu ↦ ?_⟩ have hd₀ : d ≠ 0 := ne_zero_of_dvd_ne_zero (ne_zero_of_dvd_ne_zero hx₀ hd) (dvd_mul_left d d) obtain ⟨p, irr, dvd⟩ := WfDvdMonoid.exists_irreducible_factor hdu hd₀ exact h p irr ((mul_dvd_mul dvd dvd).trans hd)
Mathlib/Algebra/Squarefree/Basic.lean
154
163
theorem irreducible_sq_not_dvd_iff_eq_zero_and_no_irreducibles_or_squarefree (r : R) : (∀ x : R, Irreducible x → ¬x * x ∣ r) ↔ (r = 0 ∧ ∀ x : R, ¬Irreducible x) ∨ Squarefree r := by
refine ⟨fun h ↦ ?_, ?_⟩ · rcases eq_or_ne r 0 with (rfl | hr) · exact .inl (by simpa using h) · exact .inr ((squarefree_iff_no_irreducibles hr).mpr h) · rintro (⟨rfl, h⟩ | h) · simpa using h intro x hx t exact hx.not_unit (h x t)
import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Nat.Prime import Mathlib.Data.List.Prime import Mathlib.Data.List.Sort import Mathlib.Data.List.Chain #align_import data.nat.factors from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" open Bool Subtype open Nat namespace Nat attribute [instance 0] instBEqNat def factors : ℕ → List ℕ | 0 => [] | 1 => [] | k + 2 => let m := minFac (k + 2) m :: factors ((k + 2) / m) decreasing_by show (k + 2) / m < (k + 2); exact factors_lemma #align nat.factors Nat.factors @[simp] theorem factors_zero : factors 0 = [] := by rw [factors] #align nat.factors_zero Nat.factors_zero @[simp] theorem factors_one : factors 1 = [] := by rw [factors] #align nat.factors_one Nat.factors_one @[simp] theorem factors_two : factors 2 = [2] := by simp [factors] theorem prime_of_mem_factors {n : ℕ} : ∀ {p : ℕ}, (h : p ∈ factors n) → Prime p := by match n with | 0 => simp | 1 => simp | k + 2 => intro p h let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma have h₁ : p = m ∨ p ∈ factors ((k + 2) / m) := List.mem_cons.1 (by rwa [factors] at h) exact Or.casesOn h₁ (fun h₂ => h₂.symm ▸ minFac_prime (by simp)) prime_of_mem_factors #align nat.prime_of_mem_factors Nat.prime_of_mem_factors theorem pos_of_mem_factors {n p : ℕ} (h : p ∈ factors n) : 0 < p := Prime.pos (prime_of_mem_factors h) #align nat.pos_of_mem_factors Nat.pos_of_mem_factors theorem prod_factors : ∀ {n}, n ≠ 0 → List.prod (factors n) = n | 0 => by simp | 1 => by simp | k + 2 => fun _ => let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma show (factors (k + 2)).prod = (k + 2) by have h₁ : (k + 2) / m ≠ 0 := fun h => by have : (k + 2) = 0 * m := (Nat.div_eq_iff_eq_mul_left (minFac_pos _) (minFac_dvd _)).1 h rw [zero_mul] at this; exact (show k + 2 ≠ 0 by simp) this rw [factors, List.prod_cons, prod_factors h₁, Nat.mul_div_cancel' (minFac_dvd _)] #align nat.prod_factors Nat.prod_factors theorem factors_prime {p : ℕ} (hp : Nat.Prime p) : p.factors = [p] := by have : p = p - 2 + 2 := (tsub_eq_iff_eq_add_of_le hp.two_le).mp rfl rw [this, Nat.factors] simp only [Eq.symm this] have : Nat.minFac p = p := (Nat.prime_def_minFac.mp hp).2 simp only [this, Nat.factors, Nat.div_self (Nat.Prime.pos hp)] #align nat.factors_prime Nat.factors_prime theorem factors_chain {n : ℕ} : ∀ {a}, (∀ p, Prime p → p ∣ n → a ≤ p) → List.Chain (· ≤ ·) a (factors n) := by match n with | 0 => simp | 1 => simp | k + 2 => intro a h let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma rw [factors] refine List.Chain.cons ((le_minFac.2 h).resolve_left (by simp)) (factors_chain ?_) exact fun p pp d => minFac_le_of_dvd pp.two_le (d.trans <| div_dvd_of_dvd <| minFac_dvd _) #align nat.factors_chain Nat.factors_chain theorem factors_chain_2 (n) : List.Chain (· ≤ ·) 2 (factors n) := factors_chain fun _ pp _ => pp.two_le #align nat.factors_chain_2 Nat.factors_chain_2 theorem factors_chain' (n) : List.Chain' (· ≤ ·) (factors n) := @List.Chain'.tail _ _ (_ :: _) (factors_chain_2 _) #align nat.factors_chain' Nat.factors_chain' theorem factors_sorted (n : ℕ) : List.Sorted (· ≤ ·) (factors n) := List.chain'_iff_pairwise.1 (factors_chain' _) #align nat.factors_sorted Nat.factors_sorted theorem factors_add_two (n : ℕ) : factors (n + 2) = minFac (n + 2) :: factors ((n + 2) / minFac (n + 2)) := by rw [factors] #align nat.factors_add_two Nat.factors_add_two @[simp] theorem factors_eq_nil (n : ℕ) : n.factors = [] ↔ n = 0 ∨ n = 1 := by constructor <;> intro h · rcases n with (_ | _ | n) · exact Or.inl rfl · exact Or.inr rfl · rw [factors] at h injection h · rcases h with (rfl | rfl) · exact factors_zero · exact factors_one #align nat.factors_eq_nil Nat.factors_eq_nil open scoped List in
Mathlib/Data/Nat/Factors.lean
138
139
theorem eq_of_perm_factors {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) (h : a.factors ~ b.factors) : a = b := by
simpa [prod_factors ha, prod_factors hb] using List.Perm.prod_eq h
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.NormedSpace.FiniteDimension #align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open Function Set Filter open scoped Topology Filter variable {E X : Type*} structure ContDiffBump (c : E) where (rIn rOut : ℝ) rIn_pos : 0 < rIn rIn_lt_rOut : rIn < rOut #align cont_diff_bump ContDiffBump #align cont_diff_bump.r ContDiffBump.rIn set_option linter.uppercaseLean3 false in #align cont_diff_bump.R ContDiffBump.rOut #align cont_diff_bump.r_pos ContDiffBump.rIn_pos set_option linter.uppercaseLean3 false in #align cont_diff_bump.r_lt_R ContDiffBump.rIn_lt_rOut -- Porting note(#5171): linter not yet ported; was @[nolint has_nonempty_instance] structure ContDiffBumpBase (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] where toFun : ℝ → E → ℝ mem_Icc : ∀ (R : ℝ) (x : E), toFun R x ∈ Icc (0 : ℝ) 1 symmetric : ∀ (R : ℝ) (x : E), toFun R (-x) = toFun R x smooth : ContDiffOn ℝ ⊤ (uncurry toFun) (Ioi (1 : ℝ) ×ˢ (univ : Set E)) eq_one : ∀ R : ℝ, 1 < R → ∀ x : E, ‖x‖ ≤ 1 → toFun R x = 1 support : ∀ R : ℝ, 1 < R → Function.support (toFun R) = Metric.ball (0 : E) R #align cont_diff_bump_base ContDiffBumpBase class HasContDiffBump (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] : Prop where out : Nonempty (ContDiffBumpBase E) #align has_cont_diff_bump HasContDiffBump def someContDiffBumpBase (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] [hb : HasContDiffBump E] : ContDiffBumpBase E := Nonempty.some hb.out #align some_cont_diff_bump_base someContDiffBumpBase namespace ContDiffBump theorem rOut_pos {c : E} (f : ContDiffBump c) : 0 < f.rOut := f.rIn_pos.trans f.rIn_lt_rOut set_option linter.uppercaseLean3 false in #align cont_diff_bump.R_pos ContDiffBump.rOut_pos theorem one_lt_rOut_div_rIn {c : E} (f : ContDiffBump c) : 1 < f.rOut / f.rIn := by rw [one_lt_div f.rIn_pos] exact f.rIn_lt_rOut set_option linter.uppercaseLean3 false in #align cont_diff_bump.one_lt_R_div_r ContDiffBump.one_lt_rOut_div_rIn instance (c : E) : Inhabited (ContDiffBump c) := ⟨⟨1, 2, zero_lt_one, one_lt_two⟩⟩ variable [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup X] [NormedSpace ℝ X] [HasContDiffBump E] {c : E} (f : ContDiffBump c) {x : E} {n : ℕ∞} @[coe] def toFun {c : E} (f : ContDiffBump c) : E → ℝ := (someContDiffBumpBase E).toFun (f.rOut / f.rIn) ∘ fun x ↦ (f.rIn⁻¹ • (x - c)) #align cont_diff_bump.to_fun ContDiffBump.toFun instance : CoeFun (ContDiffBump c) fun _ => E → ℝ := ⟨toFun⟩ protected theorem apply (x : E) : f x = (someContDiffBumpBase E).toFun (f.rOut / f.rIn) (f.rIn⁻¹ • (x - c)) := rfl #align cont_diff_bump.def ContDiffBump.apply protected theorem sub (x : E) : f (c - x) = f (c + x) := by simp [f.apply, ContDiffBumpBase.symmetric] #align cont_diff_bump.sub ContDiffBump.sub protected theorem neg (f : ContDiffBump (0 : E)) (x : E) : f (-x) = f x := by simp_rw [← zero_sub, f.sub, zero_add] #align cont_diff_bump.neg ContDiffBump.neg open Metric
Mathlib/Analysis/Calculus/BumpFunction/Basic.lean
154
157
theorem one_of_mem_closedBall (hx : x ∈ closedBall c f.rIn) : f x = 1 := by
apply ContDiffBumpBase.eq_one _ _ f.one_lt_rOut_div_rIn simpa only [norm_smul, Real.norm_eq_abs, abs_inv, abs_of_nonneg f.rIn_pos.le, ← div_eq_inv_mul, div_le_one f.rIn_pos] using mem_closedBall_iff_norm.1 hx
import Mathlib.Topology.PartialHomeomorph import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Data.Real.Sqrt #align_import analysis.normed_space.basic from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Set Metric Pointwise variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℝ E] noncomputable section @[simps (config := .lemmasOnly)] def PartialHomeomorph.univUnitBall : PartialHomeomorph E E where toFun x := (√(1 + ‖x‖ ^ 2))⁻¹ • x invFun y := (√(1 - ‖(y : E)‖ ^ 2))⁻¹ • (y : E) source := univ target := ball 0 1 map_source' x _ := by have : 0 < 1 + ‖x‖ ^ 2 := by positivity rw [mem_ball_zero_iff, norm_smul, Real.norm_eq_abs, abs_inv, ← _root_.div_eq_inv_mul, div_lt_one (abs_pos.mpr <| Real.sqrt_ne_zero'.mpr this), ← abs_norm x, ← sq_lt_sq, abs_norm, Real.sq_sqrt this.le] exact lt_one_add _ map_target' _ _ := trivial left_inv' x _ := by field_simp [norm_smul, smul_smul, (zero_lt_one_add_norm_sq x).ne', sq_abs, Real.sq_sqrt (zero_lt_one_add_norm_sq x).le, ← Real.sqrt_div (zero_lt_one_add_norm_sq x).le] right_inv' y hy := by have : 0 < 1 - ‖y‖ ^ 2 := by nlinarith [norm_nonneg y, mem_ball_zero_iff.1 hy] field_simp [norm_smul, smul_smul, this.ne', sq_abs, Real.sq_sqrt this.le, ← Real.sqrt_div this.le] open_source := isOpen_univ open_target := isOpen_ball continuousOn_toFun := by suffices Continuous fun (x:E) => (√(1 + ‖x‖ ^ 2))⁻¹ from (this.smul continuous_id).continuousOn refine Continuous.inv₀ ?_ fun x => Real.sqrt_ne_zero'.mpr (by positivity) continuity continuousOn_invFun := by have : ∀ y ∈ ball (0 : E) 1, √(1 - ‖(y : E)‖ ^ 2) ≠ 0 := fun y hy ↦ by rw [Real.sqrt_ne_zero'] nlinarith [norm_nonneg y, mem_ball_zero_iff.1 hy] exact ContinuousOn.smul (ContinuousOn.inv₀ (continuousOn_const.sub (continuous_norm.continuousOn.pow _)).sqrt this) continuousOn_id @[simp] theorem PartialHomeomorph.univUnitBall_apply_zero : univUnitBall (0 : E) = 0 := by simp [PartialHomeomorph.univUnitBall_apply] @[simp] theorem PartialHomeomorph.univUnitBall_symm_apply_zero : univUnitBall.symm (0 : E) = 0 := by simp [PartialHomeomorph.univUnitBall_symm_apply] @[simps! (config := .lemmasOnly)] def Homeomorph.unitBall : E ≃ₜ ball (0 : E) 1 := (Homeomorph.Set.univ _).symm.trans PartialHomeomorph.univUnitBall.toHomeomorphSourceTarget #align homeomorph_unit_ball Homeomorph.unitBall @[simp] theorem Homeomorph.coe_unitBall_apply_zero : (Homeomorph.unitBall (0 : E) : E) = 0 := PartialHomeomorph.univUnitBall_apply_zero #align coe_homeomorph_unit_ball_apply_zero Homeomorph.coe_unitBall_apply_zero variable {P : Type*} [PseudoMetricSpace P] [NormedAddTorsor E P] namespace PartialHomeomorph @[simps!] def unitBallBall (c : P) (r : ℝ) (hr : 0 < r) : PartialHomeomorph E P := ((Homeomorph.smulOfNeZero r hr.ne').trans (IsometryEquiv.vaddConst c).toHomeomorph).toPartialHomeomorphOfImageEq (ball 0 1) isOpen_ball (ball c r) <| by change (IsometryEquiv.vaddConst c) ∘ (r • ·) '' ball (0 : E) 1 = ball c r rw [image_comp, image_smul, smul_unitBall hr.ne', IsometryEquiv.image_ball] simp [abs_of_pos hr] def univBall (c : P) (r : ℝ) : PartialHomeomorph E P := if h : 0 < r then univUnitBall.trans' (unitBallBall c r h) rfl else (IsometryEquiv.vaddConst c).toHomeomorph.toPartialHomeomorph @[simp] theorem univBall_source (c : P) (r : ℝ) : (univBall c r).source = univ := by unfold univBall; split_ifs <;> rfl theorem univBall_target (c : P) {r : ℝ} (hr : 0 < r) : (univBall c r).target = ball c r := by rw [univBall, dif_pos hr]; rfl theorem ball_subset_univBall_target (c : P) (r : ℝ) : ball c r ⊆ (univBall c r).target := by by_cases hr : 0 < r · rw [univBall_target c hr] · rw [univBall, dif_neg hr] exact subset_univ _ @[simp] theorem univBall_apply_zero (c : P) (r : ℝ) : univBall c r 0 = c := by unfold univBall; split_ifs <;> simp @[simp]
Mathlib/Analysis/NormedSpace/HomeomorphBall.lean
144
146
theorem univBall_symm_apply_center (c : P) (r : ℝ) : (univBall c r).symm c = 0 := by
have : 0 ∈ (univBall c r).source := by simp simpa only [univBall_apply_zero] using (univBall c r).left_inv this
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem csSup_mem_closure {s : Set α} (hs : s.Nonempty) (B : BddAbove s) : sSup s ∈ closure s := (isLUB_csSup hs B).mem_closure hs #align cSup_mem_closure csSup_mem_closure theorem csInf_mem_closure {s : Set α} (hs : s.Nonempty) (B : BddBelow s) : sInf s ∈ closure s := (isGLB_csInf hs B).mem_closure hs #align cInf_mem_closure csInf_mem_closure theorem IsClosed.csSup_mem {s : Set α} (hc : IsClosed s) (hs : s.Nonempty) (B : BddAbove s) : sSup s ∈ s := (isLUB_csSup hs B).mem_of_isClosed hs hc #align is_closed.cSup_mem IsClosed.csSup_mem theorem IsClosed.csInf_mem {s : Set α} (hc : IsClosed s) (hs : s.Nonempty) (B : BddBelow s) : sInf s ∈ s := (isGLB_csInf hs B).mem_of_isClosed hs hc #align is_closed.cInf_mem IsClosed.csInf_mem theorem IsClosed.isLeast_csInf {s : Set α} (hc : IsClosed s) (hs : s.Nonempty) (B : BddBelow s) : IsLeast s (sInf s) := ⟨hc.csInf_mem hs B, (isGLB_csInf hs B).1⟩ theorem IsClosed.isGreatest_csSup {s : Set α} (hc : IsClosed s) (hs : s.Nonempty) (B : BddAbove s) : IsGreatest s (sSup s) := IsClosed.isLeast_csInf (α := αᵒᵈ) hc hs B theorem Monotone.map_csSup_of_continuousAt {f : α → β} {s : Set α} (Cf : ContinuousAt f (sSup s)) (Mf : Monotone f) (ne : s.Nonempty) (H : BddAbove s) : f (sSup s) = sSup (f '' s) := by refine ((isLUB_csSup (ne.image f) (Mf.map_bddAbove H)).unique ?_).symm refine (isLUB_csSup ne H).isLUB_of_tendsto (fun x _ y _ xy => Mf xy) ne ?_ exact Cf.mono_left inf_le_left #align monotone.map_cSup_of_continuous_at Monotone.map_csSup_of_continuousAt theorem Monotone.map_ciSup_of_continuousAt {f : α → β} {g : γ → α} (Cf : ContinuousAt f (⨆ i, g i)) (Mf : Monotone f) (H : BddAbove (range g)) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Mf.map_csSup_of_continuousAt Cf (range_nonempty _) H, ← range_comp, iSup]; rfl #align monotone.map_csupr_of_continuous_at Monotone.map_ciSup_of_continuousAt theorem Monotone.map_csInf_of_continuousAt {f : α → β} {s : Set α} (Cf : ContinuousAt f (sInf s)) (Mf : Monotone f) (ne : s.Nonempty) (H : BddBelow s) : f (sInf s) = sInf (f '' s) := Monotone.map_csSup_of_continuousAt (α := αᵒᵈ) (β := βᵒᵈ) Cf Mf.dual ne H #align monotone.map_cInf_of_continuous_at Monotone.map_csInf_of_continuousAt theorem Monotone.map_ciInf_of_continuousAt {f : α → β} {g : γ → α} (Cf : ContinuousAt f (⨅ i, g i)) (Mf : Monotone f) (H : BddBelow (range g)) : f (⨅ i, g i) = ⨅ i, f (g i) := Monotone.map_ciSup_of_continuousAt (α := αᵒᵈ) (β := βᵒᵈ) Cf Mf.dual H #align monotone.map_cinfi_of_continuous_at Monotone.map_ciInf_of_continuousAt theorem Antitone.map_csSup_of_continuousAt {f : α → β} {s : Set α} (Cf : ContinuousAt f (sSup s)) (Af : Antitone f) (ne : s.Nonempty) (H : BddAbove s) : f (sSup s) = sInf (f '' s) := Monotone.map_csSup_of_continuousAt (show ContinuousAt (OrderDual.toDual ∘ f) (sSup s) from Cf) Af ne H #align antitone.map_cSup_of_continuous_at Antitone.map_csSup_of_continuousAt theorem Antitone.map_ciSup_of_continuousAt {f : α → β} {g : γ → α} (Cf : ContinuousAt f (⨆ i, g i)) (Af : Antitone f) (H : BddAbove (range g)) : f (⨆ i, g i) = ⨅ i, f (g i) := Monotone.map_ciSup_of_continuousAt (show ContinuousAt (OrderDual.toDual ∘ f) (⨆ i, g i) from Cf) Af H #align antitone.map_csupr_of_continuous_at Antitone.map_ciSup_of_continuousAt theorem Antitone.map_csInf_of_continuousAt {f : α → β} {s : Set α} (Cf : ContinuousAt f (sInf s)) (Af : Antitone f) (ne : s.Nonempty) (H : BddBelow s) : f (sInf s) = sSup (f '' s) := Monotone.map_csInf_of_continuousAt (show ContinuousAt (OrderDual.toDual ∘ f) (sInf s) from Cf) Af ne H #align antitone.map_cInf_of_continuous_at Antitone.map_csInf_of_continuousAt theorem Antitone.map_ciInf_of_continuousAt {f : α → β} {g : γ → α} (Cf : ContinuousAt f (⨅ i, g i)) (Af : Antitone f) (H : BddBelow (range g)) : f (⨅ i, g i) = ⨆ i, f (g i) := Monotone.map_ciInf_of_continuousAt (show ContinuousAt (OrderDual.toDual ∘ f) (⨅ i, g i) from Cf) Af H #align antitone.map_cinfi_of_continuous_at Antitone.map_ciInf_of_continuousAt
Mathlib/Topology/Order/Monotone.lean
282
292
theorem Monotone.tendsto_nhdsWithin_Iio {α β : Type*} [LinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderTopology β] {f : α → β} (Mf : Monotone f) (x : α) : Tendsto f (𝓝[<] x) (𝓝 (sSup (f '' Iio x))) := by
rcases eq_empty_or_nonempty (Iio x) with (h | h); · simp [h] refine tendsto_order.2 ⟨fun l hl => ?_, fun m hm => ?_⟩ · obtain ⟨z, zx, lz⟩ : ∃ a : α, a < x ∧ l < f a := by simpa only [mem_image, exists_prop, exists_exists_and_eq_and] using exists_lt_of_lt_csSup (h.image _) hl exact mem_of_superset (Ioo_mem_nhdsWithin_Iio' zx) fun y hy => lz.trans_le (Mf hy.1.le) · refine mem_of_superset self_mem_nhdsWithin fun _ hy => lt_of_le_of_lt ?_ hm exact le_csSup (Mf.map_bddAbove bddAbove_Iio) (mem_image_of_mem _ hy)
import Mathlib.RingTheory.RingHomProperties import Mathlib.RingTheory.IntegralClosure #align_import ring_theory.ring_hom.integral from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" namespace RingHom open scoped TensorProduct open TensorProduct Algebra.TensorProduct theorem isIntegral_stableUnderComposition : StableUnderComposition fun f => f.IsIntegral := by introv R hf hg; exact hf.trans _ _ hg #align ring_hom.is_integral_stable_under_composition RingHom.isIntegral_stableUnderComposition theorem isIntegral_respectsIso : RespectsIso fun f => f.IsIntegral := by apply isIntegral_stableUnderComposition.respectsIso introv x rw [← e.apply_symm_apply x] apply RingHom.isIntegralElem_map #align ring_hom.is_integral_respects_iso RingHom.isIntegral_respectsIso
Mathlib/RingTheory/RingHom/Integral.lean
35
41
theorem isIntegral_stableUnderBaseChange : StableUnderBaseChange fun f => f.IsIntegral := by
refine StableUnderBaseChange.mk _ isIntegral_respectsIso ?_ introv h x refine TensorProduct.induction_on x ?_ ?_ ?_ · apply isIntegral_zero · intro x y; exact IsIntegral.tmul x (h y) · intro x y hx hy; exact IsIntegral.add hx hy
import Mathlib.Algebra.MonoidAlgebra.Support import Mathlib.Algebra.Polynomial.Basic import Mathlib.Algebra.Regular.Basic import Mathlib.Data.Nat.Choose.Sum #align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c" set_option linter.uppercaseLean3 false noncomputable section open Finsupp Finset AddMonoidAlgebra open Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ} variable [Semiring R] {p q r : R[X]} section Coeff @[simp] theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by rcases p with ⟨⟩ rcases q with ⟨⟩ simp_rw [← ofFinsupp_add, coeff] exact Finsupp.add_apply _ _ _ #align polynomial.coeff_add Polynomial.coeff_add set_option linter.deprecated false in @[simp] theorem coeff_bit0 (p : R[X]) (n : ℕ) : coeff (bit0 p) n = bit0 (coeff p n) := by simp [bit0] #align polynomial.coeff_bit0 Polynomial.coeff_bit0 @[simp] theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) : coeff (r • p) n = r • coeff p n := by rcases p with ⟨⟩ simp_rw [← ofFinsupp_smul, coeff] exact Finsupp.smul_apply _ _ _ #align polynomial.coeff_smul Polynomial.coeff_smul theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) : support (r • p) ⊆ support p := by intro i hi simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢ contrapose! hi simp [hi] #align polynomial.support_smul Polynomial.support_smul open scoped Pointwise in
Mathlib/Algebra/Polynomial/Coeff.lean
69
74
theorem card_support_mul_le : (p * q).support.card ≤ p.support.card * q.support.card := by
calc (p * q).support.card _ = (p.toFinsupp * q.toFinsupp).support.card := by rw [← support_toFinsupp, toFinsupp_mul] _ ≤ (p.toFinsupp.support + q.toFinsupp.support).card := Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp) _ ≤ p.support.card * q.support.card := Finset.card_image₂_le ..
import Mathlib.MeasureTheory.Covering.VitaliFamily import Mathlib.MeasureTheory.Measure.Regular import Mathlib.MeasureTheory.Function.AEMeasurableOrder import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.MeasureTheory.Integral.Average import Mathlib.MeasureTheory.Decomposition.Lebesgue #align_import measure_theory.covering.differentiation from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure open scoped Filter ENNReal MeasureTheory NNReal Topology variable {α : Type*} [MetricSpace α] {m0 : MeasurableSpace α} {μ : Measure α} (v : VitaliFamily μ) {E : Type*} [NormedAddCommGroup E] namespace VitaliFamily noncomputable def limRatio (ρ : Measure α) (x : α) : ℝ≥0∞ := limUnder (v.filterAt x) fun a => ρ a / μ a #align vitali_family.lim_ratio VitaliFamily.limRatio
Mathlib/MeasureTheory/Covering/Differentiation.lean
97
113
theorem ae_eventually_measure_pos [SecondCountableTopology α] : ∀ᵐ x ∂μ, ∀ᶠ a in v.filterAt x, 0 < μ a := by
set s := {x | ¬∀ᶠ a in v.filterAt x, 0 < μ a} with hs simp (config := { zeta := false }) only [not_lt, not_eventually, nonpos_iff_eq_zero] at hs change μ s = 0 let f : α → Set (Set α) := fun _ => {a | μ a = 0} have h : v.FineSubfamilyOn f s := by intro x hx ε εpos rw [hs] at hx simp only [frequently_filterAt_iff, exists_prop, gt_iff_lt, mem_setOf_eq] at hx rcases hx ε εpos with ⟨a, a_sets, ax, μa⟩ exact ⟨a, ⟨a_sets, μa⟩, ax⟩ refine le_antisymm ?_ bot_le calc μ s ≤ ∑' x : h.index, μ (h.covering x) := h.measure_le_tsum _ = ∑' x : h.index, 0 := by congr; ext1 x; exact h.covering_mem x.2 _ = 0 := by simp only [tsum_zero, add_zero]
import Mathlib.Data.Finsupp.Defs #align_import data.finsupp.fin from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" noncomputable section namespace Finsupp variable {n : ℕ} (i : Fin n) {M : Type*} [Zero M] (y : M) (t : Fin (n + 1) →₀ M) (s : Fin n →₀ M) def tail (s : Fin (n + 1) →₀ M) : Fin n →₀ M := Finsupp.equivFunOnFinite.symm (Fin.tail s) #align finsupp.tail Finsupp.tail def cons (y : M) (s : Fin n →₀ M) : Fin (n + 1) →₀ M := Finsupp.equivFunOnFinite.symm (Fin.cons y s : Fin (n + 1) → M) #align finsupp.cons Finsupp.cons theorem tail_apply : tail t i = t i.succ := rfl #align finsupp.tail_apply Finsupp.tail_apply @[simp] theorem cons_zero : cons y s 0 = y := rfl #align finsupp.cons_zero Finsupp.cons_zero @[simp] theorem cons_succ : cons y s i.succ = s i := -- Porting note: was Fin.cons_succ _ _ _ rfl #align finsupp.cons_succ Finsupp.cons_succ @[simp] theorem tail_cons : tail (cons y s) = s := ext fun k => by simp only [tail_apply, cons_succ] #align finsupp.tail_cons Finsupp.tail_cons @[simp] theorem cons_tail : cons (t 0) (tail t) = t := by ext a by_cases c_a : a = 0 · rw [c_a, cons_zero] · rw [← Fin.succ_pred a c_a, cons_succ, ← tail_apply] #align finsupp.cons_tail Finsupp.cons_tail @[simp]
Mathlib/Data/Finsupp/Fin.lean
68
73
theorem cons_zero_zero : cons 0 (0 : Fin n →₀ M) = 0 := by
ext a by_cases c : a = 0 · simp [c] · rw [← Fin.succ_pred a c, cons_succ] simp
import Mathlib.RingTheory.AdicCompletion.Basic import Mathlib.Algebra.Module.Torsion open Submodule variable {R : Type*} [CommRing R] (I : Ideal R) variable {M : Type*} [AddCommGroup M] [Module R M] namespace AdicCompletion attribute [-simp] smul_eq_mul Algebra.id.smul_eq_mul @[local simp] theorem transitionMap_ideal_mk {m n : ℕ} (hmn : m ≤ n) (x : R) : transitionMap I R hmn (Ideal.Quotient.mk (I ^ n • ⊤ : Ideal R) x) = Ideal.Quotient.mk (I ^ m • ⊤ : Ideal R) x := rfl @[local simp] theorem transitionMap_map_one {m n : ℕ} (hmn : m ≤ n) : transitionMap I R hmn 1 = 1 := rfl @[local simp] theorem transitionMap_map_mul {m n : ℕ} (hmn : m ≤ n) (x y : R ⧸ (I ^ n • ⊤ : Ideal R)) : transitionMap I R hmn (x * y) = transitionMap I R hmn x * transitionMap I R hmn y := Quotient.inductionOn₂' x y (fun _ _ ↦ rfl) def transitionMapₐ {m n : ℕ} (hmn : m ≤ n) : R ⧸ (I ^ n • ⊤ : Ideal R) →ₐ[R] R ⧸ (I ^ m • ⊤ : Ideal R) := AlgHom.ofLinearMap (transitionMap I R hmn) rfl (transitionMap_map_mul I hmn) def subalgebra : Subalgebra R (∀ n, R ⧸ (I ^ n • ⊤ : Ideal R)) := Submodule.toSubalgebra (submodule I R) (fun _ ↦ by simp) (fun x y hx hy m n hmn ↦ by simp [hx hmn, hy hmn]) def subring : Subring (∀ n, R ⧸ (I ^ n • ⊤ : Ideal R)) := Subalgebra.toSubring (subalgebra I) instance : CommRing (AdicCompletion I R) := inferInstanceAs <| CommRing (subring I) instance : Algebra R (AdicCompletion I R) := inferInstanceAs <| Algebra R (subalgebra I) @[simp] theorem val_one (n : ℕ) : (1 : AdicCompletion I R).val n = 1 := rfl @[simp] theorem val_mul (n : ℕ) (x y : AdicCompletion I R) : (x * y).val n = x.val n * y.val n := rfl def evalₐ (n : ℕ) : AdicCompletion I R →ₐ[R] R ⧸ I ^ n := have h : (I ^ n • ⊤ : Ideal R) = I ^ n := by ext x; simp AlgHom.comp (Ideal.quotientEquivAlgOfEq R h) (AlgHom.ofLinearMap (eval I R n) rfl (fun _ _ ↦ rfl)) @[simp] theorem evalₐ_mk (n : ℕ) (x : AdicCauchySequence I R) : evalₐ I n (mk I R x) = Ideal.Quotient.mk (I ^ n) (x.val n) := by simp [evalₐ] def AdicCauchySequence.subalgebra : Subalgebra R (ℕ → R) := Submodule.toSubalgebra (AdicCauchySequence.submodule I R) (fun {m n} _ ↦ by simp; rfl) (fun x y hx hy {m n} hmn ↦ by simp only [Pi.mul_apply] exact SModEq.mul (hx hmn) (hy hmn)) def AdicCauchySequence.subring : Subring (ℕ → R) := Subalgebra.toSubring (AdicCauchySequence.subalgebra I) instance : CommRing (AdicCauchySequence I R) := inferInstanceAs <| CommRing (AdicCauchySequence.subring I) instance : Algebra R (AdicCauchySequence I R) := inferInstanceAs <| Algebra R (AdicCauchySequence.subalgebra I) @[simp] theorem one_apply (n : ℕ) : (1 : AdicCauchySequence I R) n = 1 := rfl @[simp] theorem mul_apply (n : ℕ) (f g : AdicCauchySequence I R) : (f * g) n = f n * g n := rfl @[simps!] def mkₐ : AdicCauchySequence I R →ₐ[R] AdicCompletion I R := AlgHom.ofLinearMap (mk I R) rfl (fun _ _ ↦ rfl) @[simp] theorem evalₐ_mkₐ (n : ℕ) (x : AdicCauchySequence I R) : evalₐ I n (mkₐ I x) = Ideal.Quotient.mk (I ^ n) (x.val n) := by simp [mkₐ] theorem Ideal.mk_eq_mk {m n : ℕ} (hmn : m ≤ n) (r : AdicCauchySequence I R) : Ideal.Quotient.mk (I ^ m) (r.val n) = Ideal.Quotient.mk (I ^ m) (r.val m) := by have h : I ^ m = I ^ m • ⊤ := by simp rw [h, ← Ideal.Quotient.mk_eq_mk, ← Ideal.Quotient.mk_eq_mk] exact (r.property hmn).symm
Mathlib/RingTheory/AdicCompletion/Algebra.lean
133
139
theorem smul_mk {m n : ℕ} (hmn : m ≤ n) (r : AdicCauchySequence I R) (x : AdicCauchySequence I M) : r.val n • Submodule.Quotient.mk (p := (I ^ m • ⊤ : Submodule R M)) (x.val n) = r.val m • Submodule.Quotient.mk (p := (I ^ m • ⊤ : Submodule R M)) (x.val m) := by
rw [← Submodule.Quotient.mk_smul, ← Module.Quotient.mk_smul_mk, AdicCauchySequence.mk_eq_mk hmn, Ideal.mk_eq_mk I hmn, Module.Quotient.mk_smul_mk, Submodule.Quotient.mk_smul]
import Mathlib.Analysis.SpecialFunctions.Complex.LogBounds namespace Complex open scoped Real noncomputable def arctan (z : ℂ) : ℂ := -I / 2 * log ((1 + z * I) / (1 - z * I)) theorem tan_arctan {z : ℂ} (h₁ : z ≠ I) (h₂ : z ≠ -I) : tan (arctan z) = z := by unfold tan sin cos rw [div_div_eq_mul_div, div_mul_cancel₀ _ two_ne_zero, ← div_mul_eq_mul_div, -- multiply top and bottom by `exp (arctan z * I)` ← mul_div_mul_right _ _ (exp_ne_zero (arctan z * I)), sub_mul, add_mul, ← exp_add, neg_mul, add_left_neg, exp_zero, ← exp_add, ← two_mul] have z₁ : 1 + z * I ≠ 0 := by contrapose! h₁ rw [add_eq_zero_iff_neg_eq, ← div_eq_iff I_ne_zero, div_I, neg_one_mul, neg_neg] at h₁ exact h₁.symm have z₂ : 1 - z * I ≠ 0 := by contrapose! h₂ rw [sub_eq_zero, ← div_eq_iff I_ne_zero, div_I, one_mul] at h₂ exact h₂.symm have key : exp (2 * (arctan z * I)) = (1 + z * I) / (1 - z * I) := by rw [arctan, ← mul_rotate, ← mul_assoc, show 2 * (I * (-I / 2)) = 1 by field_simp, one_mul, exp_log] · exact div_ne_zero z₁ z₂ -- multiply top and bottom by `1 - z * I` rw [key, ← mul_div_mul_right _ _ z₂, sub_mul, add_mul, div_mul_cancel₀ _ z₂, one_mul, show _ / _ * I = -(I * I) * z by ring, I_mul_I, neg_neg, one_mul] lemma cos_ne_zero_of_arctan_bounds {z : ℂ} (h₀ : z ≠ π / 2) (h₁ : -(π / 2) < z.re) (h₂ : z.re ≤ π / 2) : cos z ≠ 0 := by refine cos_ne_zero_iff.mpr (fun k ↦ ?_) rw [ne_eq, ext_iff, not_and_or] at h₀ ⊢ norm_cast at h₀ ⊢ cases' h₀ with nr ni · left; contrapose! nr rw [nr, mul_div_assoc, neg_eq_neg_one_mul, mul_lt_mul_iff_of_pos_right (by positivity)] at h₁ rw [nr, ← one_mul (π / 2), mul_div_assoc, mul_le_mul_iff_of_pos_right (by positivity)] at h₂ norm_cast at h₁ h₂ change -1 < _ at h₁ rwa [show 2 * k + 1 = 1 by omega, Int.cast_one, one_mul] at nr · exact Or.inr ni
Mathlib/Analysis/SpecialFunctions/Complex/Arctan.lean
64
77
theorem arctan_tan {z : ℂ} (h₀ : z ≠ π / 2) (h₁ : -(π / 2) < z.re) (h₂ : z.re ≤ π / 2) : arctan (tan z) = z := by
have h := cos_ne_zero_of_arctan_bounds h₀ h₁ h₂ unfold arctan tan -- multiply top and bottom by `cos z` rw [← mul_div_mul_right (1 + _) _ h, add_mul, sub_mul, one_mul, ← mul_rotate, mul_div_cancel₀ _ h] conv_lhs => enter [2, 1, 2] rw [sub_eq_add_neg, ← neg_mul, ← sin_neg, ← cos_neg] rw [← exp_mul_I, ← exp_mul_I, ← exp_sub, show z * I - -z * I = 2 * (I * z) by ring, log_exp, show -I / 2 * (2 * (I * z)) = -(I * I) * z by ring, I_mul_I, neg_neg, one_mul] all_goals set_option tactic.skipAssignedInstances false in norm_num · rwa [← div_lt_iff' two_pos, neg_div] · rwa [← le_div_iff' two_pos]
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Laurent import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.RingTheory.Polynomial.Nilpotent #align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912" noncomputable section -- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with -- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)` universe u v w z open Finset Matrix Polynomial variable {R : Type u} [CommRing R] variable {n G : Type v} [DecidableEq n] [Fintype n] variable {α β : Type v} [DecidableEq α] variable {M : Matrix n n R} namespace Matrix theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) : (charmatrix M i j).natDegree = ite (i = j) 1 0 := by by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)] #align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree theorem charmatrix_apply_natDegree_le (i j : n) : (charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by split_ifs with h <;> simp [h, natDegree_X_le] #align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le variable (M) theorem charpoly_sub_diagonal_degree_lt : (M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)), sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm] simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one, Units.val_one, add_sub_cancel_right, Equiv.coe_refl] rw [← mem_degreeLT] apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1)) intro c hc; rw [← C_eq_intCast, C_mul'] apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c) rw [mem_degreeLT] apply lt_of_le_of_lt degree_le_natDegree _ rw [Nat.cast_lt] apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc)) apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _ rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum intros apply charmatrix_apply_natDegree_le #align matrix.charpoly_sub_diagonal_degree_lt Matrix.charpoly_sub_diagonal_degree_lt
Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean
81
86
theorem charpoly_coeff_eq_prod_coeff_of_le {k : ℕ} (h : Fintype.card n - 1 ≤ k) : M.charpoly.coeff k = (∏ i : n, (X - C (M i i))).coeff k := by
apply eq_of_sub_eq_zero; rw [← coeff_sub] apply Polynomial.coeff_eq_zero_of_degree_lt apply lt_of_lt_of_le (charpoly_sub_diagonal_degree_lt M) ?_ rw [Nat.cast_le]; apply h
import Mathlib.Data.Finset.Sum import Mathlib.Data.Sum.Order import Mathlib.Order.Interval.Finset.Defs #align_import data.sum.interval from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999" open Function Sum namespace Finset variable {α₁ α₂ β₁ β₂ γ₁ γ₂ : Type*} section SumLift₂ variable (f f₁ g₁ : α₁ → β₁ → Finset γ₁) (g f₂ g₂ : α₂ → β₂ → Finset γ₂) @[simp] def sumLift₂ : ∀ (_ : Sum α₁ α₂) (_ : Sum β₁ β₂), Finset (Sum γ₁ γ₂) | inl a, inl b => (f a b).map Embedding.inl | inl _, inr _ => ∅ | inr _, inl _ => ∅ | inr a, inr b => (g a b).map Embedding.inr #align finset.sum_lift₂ Finset.sumLift₂ variable {f f₁ g₁ g f₂ g₂} {a : Sum α₁ α₂} {b : Sum β₁ β₂} {c : Sum γ₁ γ₂} theorem mem_sumLift₂ : c ∈ sumLift₂ f g a b ↔ (∃ a₁ b₁ c₁, a = inl a₁ ∧ b = inl b₁ ∧ c = inl c₁ ∧ c₁ ∈ f a₁ b₁) ∨ ∃ a₂ b₂ c₂, a = inr a₂ ∧ b = inr b₂ ∧ c = inr c₂ ∧ c₂ ∈ g a₂ b₂ := by constructor · cases' a with a a <;> cases' b with b b · rw [sumLift₂, mem_map] rintro ⟨c, hc, rfl⟩ exact Or.inl ⟨a, b, c, rfl, rfl, rfl, hc⟩ · refine fun h ↦ (not_mem_empty _ h).elim · refine fun h ↦ (not_mem_empty _ h).elim · rw [sumLift₂, mem_map] rintro ⟨c, hc, rfl⟩ exact Or.inr ⟨a, b, c, rfl, rfl, rfl, hc⟩ · rintro (⟨a, b, c, rfl, rfl, rfl, h⟩ | ⟨a, b, c, rfl, rfl, rfl, h⟩) <;> exact mem_map_of_mem _ h #align finset.mem_sum_lift₂ Finset.mem_sumLift₂ theorem inl_mem_sumLift₂ {c₁ : γ₁} : inl c₁ ∈ sumLift₂ f g a b ↔ ∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ c₁ ∈ f a₁ b₁ := by rw [mem_sumLift₂, or_iff_left] · simp only [inl.injEq, exists_and_left, exists_eq_left'] rintro ⟨_, _, c₂, _, _, h, _⟩ exact inl_ne_inr h #align finset.inl_mem_sum_lift₂ Finset.inl_mem_sumLift₂ theorem inr_mem_sumLift₂ {c₂ : γ₂} : inr c₂ ∈ sumLift₂ f g a b ↔ ∃ a₂ b₂, a = inr a₂ ∧ b = inr b₂ ∧ c₂ ∈ g a₂ b₂ := by rw [mem_sumLift₂, or_iff_right] · simp only [inr.injEq, exists_and_left, exists_eq_left'] rintro ⟨_, _, c₂, _, _, h, _⟩ exact inr_ne_inl h #align finset.inr_mem_sum_lift₂ Finset.inr_mem_sumLift₂ theorem sumLift₂_eq_empty : sumLift₂ f g a b = ∅ ↔ (∀ a₁ b₁, a = inl a₁ → b = inl b₁ → f a₁ b₁ = ∅) ∧ ∀ a₂ b₂, a = inr a₂ → b = inr b₂ → g a₂ b₂ = ∅ := by refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · constructor <;> · rintro a b rfl rfl exact map_eq_empty.1 h cases a <;> cases b · exact map_eq_empty.2 (h.1 _ _ rfl rfl) · rfl · rfl · exact map_eq_empty.2 (h.2 _ _ rfl rfl) #align finset.sum_lift₂_eq_empty Finset.sumLift₂_eq_empty
Mathlib/Data/Sum/Interval.lean
91
95
theorem sumLift₂_nonempty : (sumLift₂ f g a b).Nonempty ↔ (∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ (f a₁ b₁).Nonempty) ∨ ∃ a₂ b₂, a = inr a₂ ∧ b = inr b₂ ∧ (g a₂ b₂).Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, sumLift₂_eq_empty, not_and_or, not_forall, exists_prop]
import Mathlib.Algebra.ContinuedFractions.Basic import Mathlib.Algebra.GroupWithZero.Basic #align_import algebra.continued_fractions.translations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction section WithDivisionRing variable {K : Type*} {g : GeneralizedContinuedFraction K} {n : ℕ} [DivisionRing K] theorem nth_cont_eq_succ_nth_cont_aux : g.continuants n = g.continuantsAux (n + 1) := rfl #align generalized_continued_fraction.nth_cont_eq_succ_nth_cont_aux GeneralizedContinuedFraction.nth_cont_eq_succ_nth_cont_aux theorem num_eq_conts_a : g.numerators n = (g.continuants n).a := rfl #align generalized_continued_fraction.num_eq_conts_a GeneralizedContinuedFraction.num_eq_conts_a theorem denom_eq_conts_b : g.denominators n = (g.continuants n).b := rfl #align generalized_continued_fraction.denom_eq_conts_b GeneralizedContinuedFraction.denom_eq_conts_b theorem convergent_eq_num_div_denom : g.convergents n = g.numerators n / g.denominators n := rfl #align generalized_continued_fraction.convergent_eq_num_div_denom GeneralizedContinuedFraction.convergent_eq_num_div_denom theorem convergent_eq_conts_a_div_conts_b : g.convergents n = (g.continuants n).a / (g.continuants n).b := rfl #align generalized_continued_fraction.convergent_eq_conts_a_div_conts_b GeneralizedContinuedFraction.convergent_eq_conts_a_div_conts_b theorem exists_conts_a_of_num {A : K} (nth_num_eq : g.numerators n = A) : ∃ conts, g.continuants n = conts ∧ conts.a = A := by simpa #align generalized_continued_fraction.exists_conts_a_of_num GeneralizedContinuedFraction.exists_conts_a_of_num theorem exists_conts_b_of_denom {B : K} (nth_denom_eq : g.denominators n = B) : ∃ conts, g.continuants n = conts ∧ conts.b = B := by simpa #align generalized_continued_fraction.exists_conts_b_of_denom GeneralizedContinuedFraction.exists_conts_b_of_denom @[simp] theorem zeroth_continuant_aux_eq_one_zero : g.continuantsAux 0 = ⟨1, 0⟩ := rfl #align generalized_continued_fraction.zeroth_continuant_aux_eq_one_zero GeneralizedContinuedFraction.zeroth_continuant_aux_eq_one_zero @[simp] theorem first_continuant_aux_eq_h_one : g.continuantsAux 1 = ⟨g.h, 1⟩ := rfl #align generalized_continued_fraction.first_continuant_aux_eq_h_one GeneralizedContinuedFraction.first_continuant_aux_eq_h_one @[simp] theorem zeroth_continuant_eq_h_one : g.continuants 0 = ⟨g.h, 1⟩ := rfl #align generalized_continued_fraction.zeroth_continuant_eq_h_one GeneralizedContinuedFraction.zeroth_continuant_eq_h_one @[simp] theorem zeroth_numerator_eq_h : g.numerators 0 = g.h := rfl #align generalized_continued_fraction.zeroth_numerator_eq_h GeneralizedContinuedFraction.zeroth_numerator_eq_h @[simp] theorem zeroth_denominator_eq_one : g.denominators 0 = 1 := rfl #align generalized_continued_fraction.zeroth_denominator_eq_one GeneralizedContinuedFraction.zeroth_denominator_eq_one @[simp] theorem zeroth_convergent_eq_h : g.convergents 0 = g.h := by simp [convergent_eq_num_div_denom, num_eq_conts_a, denom_eq_conts_b, div_one] #align generalized_continued_fraction.zeroth_convergent_eq_h GeneralizedContinuedFraction.zeroth_convergent_eq_h theorem second_continuant_aux_eq {gp : Pair K} (zeroth_s_eq : g.s.get? 0 = some gp) : g.continuantsAux 2 = ⟨gp.b * g.h + gp.a, gp.b⟩ := by simp [zeroth_s_eq, continuantsAux, nextContinuants, nextDenominator, nextNumerator] #align generalized_continued_fraction.second_continuant_aux_eq GeneralizedContinuedFraction.second_continuant_aux_eq theorem first_continuant_eq {gp : Pair K} (zeroth_s_eq : g.s.get? 0 = some gp) : g.continuants 1 = ⟨gp.b * g.h + gp.a, gp.b⟩ := by simp [nth_cont_eq_succ_nth_cont_aux] -- Porting note (#10959): simp used to work here, but now it can't figure out that 1 + 1 = 2 convert second_continuant_aux_eq zeroth_s_eq #align generalized_continued_fraction.first_continuant_eq GeneralizedContinuedFraction.first_continuant_eq
Mathlib/Algebra/ContinuedFractions/Translations.lean
162
163
theorem first_numerator_eq {gp : Pair K} (zeroth_s_eq : g.s.get? 0 = some gp) : g.numerators 1 = gp.b * g.h + gp.a := by
simp [num_eq_conts_a, first_continuant_eq zeroth_s_eq]
import Mathlib.Data.List.Chain import Mathlib.Data.List.Enum import Mathlib.Data.List.Nodup import Mathlib.Data.List.Pairwise import Mathlib.Data.List.Zip #align_import data.list.range from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213" set_option autoImplicit true universe u open Nat namespace List variable {α : Type u} @[simp] theorem range'_one {step} : range' s 1 step = [s] := rfl #align list.length_range' List.length_range' #align list.range'_eq_nil List.range'_eq_nil #align list.mem_range' List.mem_range'_1 #align list.map_add_range' List.map_add_range' #align list.map_sub_range' List.map_sub_range' #align list.chain_succ_range' List.chain_succ_range' #align list.chain_lt_range' List.chain_lt_range' theorem pairwise_lt_range' : ∀ s n (step := 1) (_ : 0 < step := by simp), Pairwise (· < ·) (range' s n step) | _, 0, _, _ => Pairwise.nil | s, n + 1, _, h => chain_iff_pairwise.1 (chain_lt_range' s n h) #align list.pairwise_lt_range' List.pairwise_lt_range' theorem nodup_range' (s n : ℕ) (step := 1) (h : 0 < step := by simp) : Nodup (range' s n step) := (pairwise_lt_range' s n step h).imp _root_.ne_of_lt #align list.nodup_range' List.nodup_range' #align list.range'_append List.range'_append #align list.range'_sublist_right List.range'_sublist_right #align list.range'_subset_right List.range'_subset_right #align list.nth_range' List.get?_range' set_option linter.deprecated false in @[simp] theorem nthLe_range' {n m step} (i) (H : i < (range' n m step).length) : nthLe (range' n m step) i H = n + step * i := get_range' i H set_option linter.deprecated false in theorem nthLe_range'_1 {n m} (i) (H : i < (range' n m).length) : nthLe (range' n m) i H = n + i := by simp #align list.nth_le_range' List.nthLe_range'_1 #align list.range'_concat List.range'_concat #align list.range_core List.range.loop #align list.range_core_range' List.range_loop_range' #align list.range_eq_range' List.range_eq_range' #align list.range_succ_eq_map List.range_succ_eq_map #align list.range'_eq_map_range List.range'_eq_map_range #align list.length_range List.length_range #align list.range_eq_nil List.range_eq_nil theorem pairwise_lt_range (n : ℕ) : Pairwise (· < ·) (range n) := by simp (config := {decide := true}) only [range_eq_range', pairwise_lt_range'] #align list.pairwise_lt_range List.pairwise_lt_range theorem pairwise_le_range (n : ℕ) : Pairwise (· ≤ ·) (range n) := Pairwise.imp (@le_of_lt ℕ _) (pairwise_lt_range _) #align list.pairwise_le_range List.pairwise_le_range theorem take_range (m n : ℕ) : take m (range n) = range (min m n) := by apply List.ext_get · simp · simp (config := { contextual := true }) [← get_take, Nat.lt_min] theorem nodup_range (n : ℕ) : Nodup (range n) := by simp (config := {decide := true}) only [range_eq_range', nodup_range'] #align list.nodup_range List.nodup_range #align list.range_sublist List.range_sublist #align list.range_subset List.range_subset #align list.mem_range List.mem_range #align list.not_mem_range_self List.not_mem_range_self #align list.self_mem_range_succ List.self_mem_range_succ #align list.nth_range List.get?_range #align list.range_succ List.range_succ #align list.range_zero List.range_zero
Mathlib/Data/List/Range.lean
104
112
theorem chain'_range_succ (r : ℕ → ℕ → Prop) (n : ℕ) : Chain' r (range n.succ) ↔ ∀ m < n, r m m.succ := by
rw [range_succ] induction' n with n hn · simp · rw [range_succ] simp only [append_assoc, singleton_append, chain'_append_cons_cons, chain'_singleton, and_true_iff] rw [hn, forall_lt_succ]
import Mathlib.LinearAlgebra.Dimension.Finrank import Mathlib.LinearAlgebra.InvariantBasisNumber #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v w w' variable {R : Type u} {M : Type v} [Ring R] [AddCommGroup M] [Module R M] variable {ι : Type w} {ι' : Type w'} open Cardinal Basis Submodule Function Set attribute [local instance] nontrivial_of_invariantBasisNumber section InvariantBasisNumber variable [InvariantBasisNumber R]
Mathlib/LinearAlgebra/Dimension/StrongRankCondition.lean
58
83
theorem mk_eq_mk_of_basis (v : Basis ι R M) (v' : Basis ι' R M) : Cardinal.lift.{w'} #ι = Cardinal.lift.{w} #ι' := by
classical haveI := nontrivial_of_invariantBasisNumber R cases fintypeOrInfinite ι · -- `v` is a finite basis, so by `basis_finite_of_finite_spans` so is `v'`. -- haveI : Finite (range v) := Set.finite_range v haveI := basis_finite_of_finite_spans _ (Set.finite_range v) v.span_eq v' cases nonempty_fintype ι' -- We clean up a little: rw [Cardinal.mk_fintype, Cardinal.mk_fintype] simp only [Cardinal.lift_natCast, Cardinal.natCast_inj] -- Now we can use invariant basis number to show they have the same cardinality. apply card_eq_of_linearEquiv R exact (Finsupp.linearEquivFunOnFinite R R ι).symm.trans v.repr.symm ≪≫ₗ v'.repr ≪≫ₗ Finsupp.linearEquivFunOnFinite R R ι' · -- `v` is an infinite basis, -- so by `infinite_basis_le_maximal_linearIndependent`, `v'` is at least as big, -- and then applying `infinite_basis_le_maximal_linearIndependent` again -- we see they have the same cardinality. have w₁ := infinite_basis_le_maximal_linearIndependent' v _ v'.linearIndependent v'.maximal rcases Cardinal.lift_mk_le'.mp w₁ with ⟨f⟩ haveI : Infinite ι' := Infinite.of_injective f f.2 have w₂ := infinite_basis_le_maximal_linearIndependent' v' _ v.linearIndependent v.maximal exact le_antisymm w₁ w₂
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Deprecated.Submonoid #align_import deprecated.subgroup from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6" open Set Function variable {G : Type*} {H : Type*} {A : Type*} {a a₁ a₂ b c : G} section Group variable [Group G] [AddGroup A] structure IsAddSubgroup (s : Set A) extends IsAddSubmonoid s : Prop where neg_mem {a} : a ∈ s → -a ∈ s #align is_add_subgroup IsAddSubgroup @[to_additive] structure IsSubgroup (s : Set G) extends IsSubmonoid s : Prop where inv_mem {a} : a ∈ s → a⁻¹ ∈ s #align is_subgroup IsSubgroup @[to_additive]
Mathlib/Deprecated/Subgroup.lean
57
58
theorem IsSubgroup.div_mem {s : Set G} (hs : IsSubgroup s) {x y : G} (hx : x ∈ s) (hy : y ∈ s) : x / y ∈ s := by
simpa only [div_eq_mul_inv] using hs.mul_mem hx (hs.inv_mem hy)
import Mathlib.Algebra.Bounds import Mathlib.Algebra.Order.Field.Basic -- Porting note: `LinearOrderedField`, etc import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.order.pointwise from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Set open Pointwise variable {α : Type*} -- Porting note: Swapped the place of `CompleteLattice` and `ConditionallyCompleteLattice` -- due to simpNF problem between `sSup_xx` `csSup_xx`. section CompleteLattice variable [CompleteLattice α] section Group variable [Group α] [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (swap (· * ·)) (· ≤ ·)] (s t : Set α) @[to_additive] theorem sSup_inv (s : Set α) : sSup s⁻¹ = (sInf s)⁻¹ := by rw [← image_inv, sSup_image] exact ((OrderIso.inv α).map_sInf _).symm #align Sup_inv sSup_inv #align Sup_neg sSup_neg @[to_additive] theorem sInf_inv (s : Set α) : sInf s⁻¹ = (sSup s)⁻¹ := by rw [← image_inv, sInf_image] exact ((OrderIso.inv α).map_sSup _).symm #align Inf_inv sInf_inv #align Inf_neg sInf_neg @[to_additive] theorem sSup_mul : sSup (s * t) = sSup s * sSup t := (sSup_image2_eq_sSup_sSup fun _ => (OrderIso.mulRight _).to_galoisConnection) fun _ => (OrderIso.mulLeft _).to_galoisConnection #align Sup_mul sSup_mul #align Sup_add sSup_add @[to_additive] theorem sInf_mul : sInf (s * t) = sInf s * sInf t := (sInf_image2_eq_sInf_sInf fun _ => (OrderIso.mulRight _).symm.to_galoisConnection) fun _ => (OrderIso.mulLeft _).symm.to_galoisConnection #align Inf_mul sInf_mul #align Inf_add sInf_add @[to_additive]
Mathlib/Algebra/Order/Pointwise.lean
89
89
theorem sSup_div : sSup (s / t) = sSup s / sInf t := by
simp_rw [div_eq_mul_inv, sSup_mul, sSup_inv]