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import Mathlib.Algebra.Associated import Mathlib.Algebra.Ring.Regular import Mathlib.Tactic.Common #align_import algebra.gcd_monoid.basic from "leanprover-community/mathlib"@"550b58538991c8977703fdeb7c9d51a5aa27df11" variable {α : Type*} -- Porting note: mathlib3 had a `@[protect_proj]` here, but adding `protected` to all the fields -- adds unnecessary clutter to later code class NormalizationMonoid (α : Type*) [CancelCommMonoidWithZero α] where normUnit : α → αˣ normUnit_zero : normUnit 0 = 1 normUnit_mul : ∀ {a b}, a ≠ 0 → b ≠ 0 → normUnit (a * b) = normUnit a * normUnit b normUnit_coe_units : ∀ u : αˣ, normUnit u = u⁻¹ #align normalization_monoid NormalizationMonoid export NormalizationMonoid (normUnit normUnit_zero normUnit_mul normUnit_coe_units) attribute [simp] normUnit_coe_units normUnit_zero normUnit_mul section NormalizationMonoid variable [CancelCommMonoidWithZero α] [NormalizationMonoid α] @[simp] theorem normUnit_one : normUnit (1 : α) = 1 := normUnit_coe_units 1 #align norm_unit_one normUnit_one -- Porting note (#11083): quite slow. Improve performance? def normalize : α →*₀ α where toFun x := x * normUnit x map_zero' := by simp only [normUnit_zero] exact mul_one (0:α) map_one' := by dsimp only; rw [normUnit_one, one_mul]; rfl map_mul' x y := (by_cases fun hx : x = 0 => by dsimp only; rw [hx, zero_mul, zero_mul, zero_mul]) fun hx => (by_cases fun hy : y = 0 => by dsimp only; rw [hy, mul_zero, zero_mul, mul_zero]) fun hy => by simp only [normUnit_mul hx hy, Units.val_mul]; simp only [mul_assoc, mul_left_comm y] #align normalize normalize theorem associated_normalize (x : α) : Associated x (normalize x) := ⟨_, rfl⟩ #align associated_normalize associated_normalize theorem normalize_associated (x : α) : Associated (normalize x) x := (associated_normalize _).symm #align normalize_associated normalize_associated theorem associated_normalize_iff {x y : α} : Associated x (normalize y) ↔ Associated x y := ⟨fun h => h.trans (normalize_associated y), fun h => h.trans (associated_normalize y)⟩ #align associated_normalize_iff associated_normalize_iff theorem normalize_associated_iff {x y : α} : Associated (normalize x) y ↔ Associated x y := ⟨fun h => (associated_normalize _).trans h, fun h => (normalize_associated _).trans h⟩ #align normalize_associated_iff normalize_associated_iff theorem Associates.mk_normalize (x : α) : Associates.mk (normalize x) = Associates.mk x := Associates.mk_eq_mk_iff_associated.2 (normalize_associated _) #align associates.mk_normalize Associates.mk_normalize @[simp] theorem normalize_apply (x : α) : normalize x = x * normUnit x := rfl #align normalize_apply normalize_apply -- Porting note (#10618): `simp` can prove this -- @[simp] theorem normalize_zero : normalize (0 : α) = 0 := normalize.map_zero #align normalize_zero normalize_zero -- Porting note (#10618): `simp` can prove this -- @[simp] theorem normalize_one : normalize (1 : α) = 1 := normalize.map_one #align normalize_one normalize_one theorem normalize_coe_units (u : αˣ) : normalize (u : α) = 1 := by simp #align normalize_coe_units normalize_coe_units theorem normalize_eq_zero {x : α} : normalize x = 0 ↔ x = 0 := ⟨fun hx => (associated_zero_iff_eq_zero x).1 <| hx ▸ associated_normalize _, by rintro rfl; exact normalize_zero⟩ #align normalize_eq_zero normalize_eq_zero theorem normalize_eq_one {x : α} : normalize x = 1 ↔ IsUnit x := ⟨fun hx => isUnit_iff_exists_inv.2 ⟨_, hx⟩, fun ⟨u, hu⟩ => hu ▸ normalize_coe_units u⟩ #align normalize_eq_one normalize_eq_one -- Porting note (#11083): quite slow. Improve performance? @[simp] theorem normUnit_mul_normUnit (a : α) : normUnit (a * normUnit a) = 1 := by nontriviality α using Subsingleton.elim a 0 obtain rfl | h := eq_or_ne a 0 · rw [normUnit_zero, zero_mul, normUnit_zero] · rw [normUnit_mul h (Units.ne_zero _), normUnit_coe_units, mul_inv_eq_one] #align norm_unit_mul_norm_unit normUnit_mul_normUnit
Mathlib/Algebra/GCDMonoid/Basic.lean
169
169
theorem normalize_idem (x : α) : normalize (normalize x) = normalize x := by
simp
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import Mathlib.Algebra.Associated import Mathlib.Algebra.Ring.Regular import Mathlib.Tactic.Common #align_import algebra.gcd_monoid.basic from "leanprover-community/mathlib"@"550b58538991c8977703fdeb7c9d51a5aa27df11" variable {α : Type*} -- Porting note: mathlib3 had a `@[protect_proj]` here, but adding `protected` to all the fields -- adds unnecessary clutter to later code class NormalizationMonoid (α : Type*) [CancelCommMonoidWithZero α] where normUnit : α → αˣ normUnit_zero : normUnit 0 = 1 normUnit_mul : ∀ {a b}, a ≠ 0 → b ≠ 0 → normUnit (a * b) = normUnit a * normUnit b normUnit_coe_units : ∀ u : αˣ, normUnit u = u⁻¹ #align normalization_monoid NormalizationMonoid export NormalizationMonoid (normUnit normUnit_zero normUnit_mul normUnit_coe_units) attribute [simp] normUnit_coe_units normUnit_zero normUnit_mul section NormalizationMonoid variable [CancelCommMonoidWithZero α] [NormalizationMonoid α] @[simp] theorem normUnit_one : normUnit (1 : α) = 1 := normUnit_coe_units 1 #align norm_unit_one normUnit_one -- Porting note (#11083): quite slow. Improve performance? def normalize : α →*₀ α where toFun x := x * normUnit x map_zero' := by simp only [normUnit_zero] exact mul_one (0:α) map_one' := by dsimp only; rw [normUnit_one, one_mul]; rfl map_mul' x y := (by_cases fun hx : x = 0 => by dsimp only; rw [hx, zero_mul, zero_mul, zero_mul]) fun hx => (by_cases fun hy : y = 0 => by dsimp only; rw [hy, mul_zero, zero_mul, mul_zero]) fun hy => by simp only [normUnit_mul hx hy, Units.val_mul]; simp only [mul_assoc, mul_left_comm y] #align normalize normalize theorem associated_normalize (x : α) : Associated x (normalize x) := ⟨_, rfl⟩ #align associated_normalize associated_normalize theorem normalize_associated (x : α) : Associated (normalize x) x := (associated_normalize _).symm #align normalize_associated normalize_associated theorem associated_normalize_iff {x y : α} : Associated x (normalize y) ↔ Associated x y := ⟨fun h => h.trans (normalize_associated y), fun h => h.trans (associated_normalize y)⟩ #align associated_normalize_iff associated_normalize_iff theorem normalize_associated_iff {x y : α} : Associated (normalize x) y ↔ Associated x y := ⟨fun h => (associated_normalize _).trans h, fun h => (normalize_associated _).trans h⟩ #align normalize_associated_iff normalize_associated_iff theorem Associates.mk_normalize (x : α) : Associates.mk (normalize x) = Associates.mk x := Associates.mk_eq_mk_iff_associated.2 (normalize_associated _) #align associates.mk_normalize Associates.mk_normalize @[simp] theorem normalize_apply (x : α) : normalize x = x * normUnit x := rfl #align normalize_apply normalize_apply -- Porting note (#10618): `simp` can prove this -- @[simp] theorem normalize_zero : normalize (0 : α) = 0 := normalize.map_zero #align normalize_zero normalize_zero -- Porting note (#10618): `simp` can prove this -- @[simp] theorem normalize_one : normalize (1 : α) = 1 := normalize.map_one #align normalize_one normalize_one theorem normalize_coe_units (u : αˣ) : normalize (u : α) = 1 := by simp #align normalize_coe_units normalize_coe_units theorem normalize_eq_zero {x : α} : normalize x = 0 ↔ x = 0 := ⟨fun hx => (associated_zero_iff_eq_zero x).1 <| hx ▸ associated_normalize _, by rintro rfl; exact normalize_zero⟩ #align normalize_eq_zero normalize_eq_zero theorem normalize_eq_one {x : α} : normalize x = 1 ↔ IsUnit x := ⟨fun hx => isUnit_iff_exists_inv.2 ⟨_, hx⟩, fun ⟨u, hu⟩ => hu ▸ normalize_coe_units u⟩ #align normalize_eq_one normalize_eq_one -- Porting note (#11083): quite slow. Improve performance? @[simp] theorem normUnit_mul_normUnit (a : α) : normUnit (a * normUnit a) = 1 := by nontriviality α using Subsingleton.elim a 0 obtain rfl | h := eq_or_ne a 0 · rw [normUnit_zero, zero_mul, normUnit_zero] · rw [normUnit_mul h (Units.ne_zero _), normUnit_coe_units, mul_inv_eq_one] #align norm_unit_mul_norm_unit normUnit_mul_normUnit theorem normalize_idem (x : α) : normalize (normalize x) = normalize x := by simp #align normalize_idem normalize_idem
Mathlib/Algebra/GCDMonoid/Basic.lean
172
181
theorem normalize_eq_normalize {a b : α} (hab : a ∣ b) (hba : b ∣ a) : normalize a = normalize b := by
nontriviality α rcases associated_of_dvd_dvd hab hba with ⟨u, rfl⟩ refine by_cases (by rintro rfl; simp only [zero_mul]) fun ha : a ≠ 0 => ?_ suffices a * ↑(normUnit a) = a * ↑u * ↑(normUnit a) * ↑u⁻¹ by simpa only [normalize_apply, mul_assoc, normUnit_mul ha u.ne_zero, normUnit_coe_units] calc a * ↑(normUnit a) = a * ↑(normUnit a) * ↑u * ↑u⁻¹ := (Units.mul_inv_cancel_right _ _).symm _ = a * ↑u * ↑(normUnit a) * ↑u⁻¹ := by rw [mul_right_comm a]
8
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import Mathlib.Data.Matroid.Dual open Set namespace Matroid variable {α : Type*} {M : Matroid α} {R I J X Y : Set α} section restrict @[simps] def restrictIndepMatroid (M : Matroid α) (R : Set α) : IndepMatroid α where E := R Indep I := M.Indep I ∧ I ⊆ R indep_empty := ⟨M.empty_indep, empty_subset _⟩ indep_subset := fun I J h hIJ ↦ ⟨h.1.subset hIJ, hIJ.trans h.2⟩ indep_aug := by rintro I I' ⟨hI, hIY⟩ (hIn : ¬ M.Basis' I R) (hI' : M.Basis' I' R) rw [basis'_iff_basis_inter_ground] at hIn hI' obtain ⟨B', hB', rfl⟩ := hI'.exists_base obtain ⟨B, hB, hIB, hBIB'⟩ := hI.exists_base_subset_union_base hB' rw [hB'.inter_basis_iff_compl_inter_basis_dual, diff_inter_diff] at hI' have hss : M.E \ (B' ∪ (R ∩ M.E)) ⊆ M.E \ (B ∪ (R ∩ M.E)) := by apply diff_subset_diff_right rw [union_subset_iff, and_iff_left subset_union_right, union_comm] exact hBIB'.trans (union_subset_union_left _ (subset_inter hIY hI.subset_ground)) have hi : M✶.Indep (M.E \ (B ∪ (R ∩ M.E))) := by rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_right subset_union_left disjoint_sdiff_left⟩ have h_eq := hI'.eq_of_subset_indep hi hss (diff_subset_diff_right subset_union_right) rw [h_eq, ← diff_inter_diff, ← hB.inter_basis_iff_compl_inter_basis_dual] at hI' obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis_of_subset (subset_inter hIB (subset_inter hIY hI.subset_ground)) obtain rfl := hI'.indep.eq_of_basis hJ have hIJ' : I ⊂ B ∩ (R ∩ M.E) := hIJ.ssubset_of_ne (fun he ↦ hIn (by rwa [he])) obtain ⟨e, he⟩ := exists_of_ssubset hIJ' exact ⟨e, ⟨⟨(hBIB' he.1.1).elim (fun h ↦ (he.2 h).elim) id,he.1.2⟩, he.2⟩, hI'.indep.subset (insert_subset he.1 hIJ), insert_subset he.1.2.1 hIY⟩ indep_maximal := by rintro A hAX I ⟨hI, _⟩ hIA obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis'_of_subset hIA; use J rw [mem_maximals_setOf_iff, and_iff_left hJ.subset, and_iff_left hIJ, and_iff_right ⟨hJ.indep, hJ.subset.trans hAX⟩] exact fun K ⟨⟨hK, _⟩, _, hKA⟩ hJK ↦ hJ.eq_of_subset_indep hK hJK hKA subset_ground I := And.right def restrict (M : Matroid α) (R : Set α) : Matroid α := (M.restrictIndepMatroid R).matroid scoped infixl:65 " ↾ " => Matroid.restrict @[simp] theorem restrict_indep_iff : (M ↾ R).Indep I ↔ M.Indep I ∧ I ⊆ R := Iff.rfl theorem Indep.indep_restrict_of_subset (h : M.Indep I) (hIR : I ⊆ R) : (M ↾ R).Indep I := restrict_indep_iff.mpr ⟨h,hIR⟩ theorem Indep.of_restrict (hI : (M ↾ R).Indep I) : M.Indep I := (restrict_indep_iff.1 hI).1 @[simp] theorem restrict_ground_eq : (M ↾ R).E = R := rfl theorem restrict_finite {R : Set α} (hR : R.Finite) : (M ↾ R).Finite := ⟨hR⟩ @[simp] theorem restrict_dep_iff : (M ↾ R).Dep X ↔ ¬ M.Indep X ∧ X ⊆ R := by rw [Dep, restrict_indep_iff, restrict_ground_eq]; tauto @[simp] theorem restrict_ground_eq_self (M : Matroid α) : (M ↾ M.E) = M := by refine eq_of_indep_iff_indep_forall rfl ?_; aesop
Mathlib/Data/Matroid/Restrict.lean
142
146
theorem restrict_restrict_eq {R₁ R₂ : Set α} (M : Matroid α) (hR : R₂ ⊆ R₁) : (M ↾ R₁) ↾ R₂ = M ↾ R₂ := by
refine eq_of_indep_iff_indep_forall rfl ?_ simp only [restrict_ground_eq, restrict_indep_iff, and_congr_left_iff, and_iff_left_iff_imp] exact fun _ h _ _ ↦ h.trans hR
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import Mathlib.Data.Matroid.Dual open Set namespace Matroid variable {α : Type*} {M : Matroid α} {R I J X Y : Set α} section restrict @[simps] def restrictIndepMatroid (M : Matroid α) (R : Set α) : IndepMatroid α where E := R Indep I := M.Indep I ∧ I ⊆ R indep_empty := ⟨M.empty_indep, empty_subset _⟩ indep_subset := fun I J h hIJ ↦ ⟨h.1.subset hIJ, hIJ.trans h.2⟩ indep_aug := by rintro I I' ⟨hI, hIY⟩ (hIn : ¬ M.Basis' I R) (hI' : M.Basis' I' R) rw [basis'_iff_basis_inter_ground] at hIn hI' obtain ⟨B', hB', rfl⟩ := hI'.exists_base obtain ⟨B, hB, hIB, hBIB'⟩ := hI.exists_base_subset_union_base hB' rw [hB'.inter_basis_iff_compl_inter_basis_dual, diff_inter_diff] at hI' have hss : M.E \ (B' ∪ (R ∩ M.E)) ⊆ M.E \ (B ∪ (R ∩ M.E)) := by apply diff_subset_diff_right rw [union_subset_iff, and_iff_left subset_union_right, union_comm] exact hBIB'.trans (union_subset_union_left _ (subset_inter hIY hI.subset_ground)) have hi : M✶.Indep (M.E \ (B ∪ (R ∩ M.E))) := by rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_right subset_union_left disjoint_sdiff_left⟩ have h_eq := hI'.eq_of_subset_indep hi hss (diff_subset_diff_right subset_union_right) rw [h_eq, ← diff_inter_diff, ← hB.inter_basis_iff_compl_inter_basis_dual] at hI' obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis_of_subset (subset_inter hIB (subset_inter hIY hI.subset_ground)) obtain rfl := hI'.indep.eq_of_basis hJ have hIJ' : I ⊂ B ∩ (R ∩ M.E) := hIJ.ssubset_of_ne (fun he ↦ hIn (by rwa [he])) obtain ⟨e, he⟩ := exists_of_ssubset hIJ' exact ⟨e, ⟨⟨(hBIB' he.1.1).elim (fun h ↦ (he.2 h).elim) id,he.1.2⟩, he.2⟩, hI'.indep.subset (insert_subset he.1 hIJ), insert_subset he.1.2.1 hIY⟩ indep_maximal := by rintro A hAX I ⟨hI, _⟩ hIA obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis'_of_subset hIA; use J rw [mem_maximals_setOf_iff, and_iff_left hJ.subset, and_iff_left hIJ, and_iff_right ⟨hJ.indep, hJ.subset.trans hAX⟩] exact fun K ⟨⟨hK, _⟩, _, hKA⟩ hJK ↦ hJ.eq_of_subset_indep hK hJK hKA subset_ground I := And.right def restrict (M : Matroid α) (R : Set α) : Matroid α := (M.restrictIndepMatroid R).matroid scoped infixl:65 " ↾ " => Matroid.restrict @[simp] theorem restrict_indep_iff : (M ↾ R).Indep I ↔ M.Indep I ∧ I ⊆ R := Iff.rfl theorem Indep.indep_restrict_of_subset (h : M.Indep I) (hIR : I ⊆ R) : (M ↾ R).Indep I := restrict_indep_iff.mpr ⟨h,hIR⟩ theorem Indep.of_restrict (hI : (M ↾ R).Indep I) : M.Indep I := (restrict_indep_iff.1 hI).1 @[simp] theorem restrict_ground_eq : (M ↾ R).E = R := rfl theorem restrict_finite {R : Set α} (hR : R.Finite) : (M ↾ R).Finite := ⟨hR⟩ @[simp] theorem restrict_dep_iff : (M ↾ R).Dep X ↔ ¬ M.Indep X ∧ X ⊆ R := by rw [Dep, restrict_indep_iff, restrict_ground_eq]; tauto @[simp] theorem restrict_ground_eq_self (M : Matroid α) : (M ↾ M.E) = M := by refine eq_of_indep_iff_indep_forall rfl ?_; aesop theorem restrict_restrict_eq {R₁ R₂ : Set α} (M : Matroid α) (hR : R₂ ⊆ R₁) : (M ↾ R₁) ↾ R₂ = M ↾ R₂ := by refine eq_of_indep_iff_indep_forall rfl ?_ simp only [restrict_ground_eq, restrict_indep_iff, and_congr_left_iff, and_iff_left_iff_imp] exact fun _ h _ _ ↦ h.trans hR @[simp] theorem restrict_idem (M : Matroid α) (R : Set α) : M ↾ R ↾ R = M ↾ R := by rw [M.restrict_restrict_eq Subset.rfl] @[simp] theorem base_restrict_iff (hX : X ⊆ M.E := by aesop_mat) : (M ↾ X).Base I ↔ M.Basis I X := by simp_rw [base_iff_maximal_indep, basis_iff', restrict_indep_iff, and_iff_left hX, and_assoc] aesop
Mathlib/Data/Matroid/Restrict.lean
156
157
theorem base_restrict_iff' : (M ↾ X).Base I ↔ M.Basis' I X := by
simp_rw [Basis', base_iff_maximal_indep, mem_maximals_setOf_iff, restrict_indep_iff]
1
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import Mathlib.Data.Matroid.Dual open Set namespace Matroid variable {α : Type*} {M : Matroid α} {R I J X Y : Set α} section restrict @[simps] def restrictIndepMatroid (M : Matroid α) (R : Set α) : IndepMatroid α where E := R Indep I := M.Indep I ∧ I ⊆ R indep_empty := ⟨M.empty_indep, empty_subset _⟩ indep_subset := fun I J h hIJ ↦ ⟨h.1.subset hIJ, hIJ.trans h.2⟩ indep_aug := by rintro I I' ⟨hI, hIY⟩ (hIn : ¬ M.Basis' I R) (hI' : M.Basis' I' R) rw [basis'_iff_basis_inter_ground] at hIn hI' obtain ⟨B', hB', rfl⟩ := hI'.exists_base obtain ⟨B, hB, hIB, hBIB'⟩ := hI.exists_base_subset_union_base hB' rw [hB'.inter_basis_iff_compl_inter_basis_dual, diff_inter_diff] at hI' have hss : M.E \ (B' ∪ (R ∩ M.E)) ⊆ M.E \ (B ∪ (R ∩ M.E)) := by apply diff_subset_diff_right rw [union_subset_iff, and_iff_left subset_union_right, union_comm] exact hBIB'.trans (union_subset_union_left _ (subset_inter hIY hI.subset_ground)) have hi : M✶.Indep (M.E \ (B ∪ (R ∩ M.E))) := by rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_right subset_union_left disjoint_sdiff_left⟩ have h_eq := hI'.eq_of_subset_indep hi hss (diff_subset_diff_right subset_union_right) rw [h_eq, ← diff_inter_diff, ← hB.inter_basis_iff_compl_inter_basis_dual] at hI' obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis_of_subset (subset_inter hIB (subset_inter hIY hI.subset_ground)) obtain rfl := hI'.indep.eq_of_basis hJ have hIJ' : I ⊂ B ∩ (R ∩ M.E) := hIJ.ssubset_of_ne (fun he ↦ hIn (by rwa [he])) obtain ⟨e, he⟩ := exists_of_ssubset hIJ' exact ⟨e, ⟨⟨(hBIB' he.1.1).elim (fun h ↦ (he.2 h).elim) id,he.1.2⟩, he.2⟩, hI'.indep.subset (insert_subset he.1 hIJ), insert_subset he.1.2.1 hIY⟩ indep_maximal := by rintro A hAX I ⟨hI, _⟩ hIA obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis'_of_subset hIA; use J rw [mem_maximals_setOf_iff, and_iff_left hJ.subset, and_iff_left hIJ, and_iff_right ⟨hJ.indep, hJ.subset.trans hAX⟩] exact fun K ⟨⟨hK, _⟩, _, hKA⟩ hJK ↦ hJ.eq_of_subset_indep hK hJK hKA subset_ground I := And.right def restrict (M : Matroid α) (R : Set α) : Matroid α := (M.restrictIndepMatroid R).matroid scoped infixl:65 " ↾ " => Matroid.restrict @[simp] theorem restrict_indep_iff : (M ↾ R).Indep I ↔ M.Indep I ∧ I ⊆ R := Iff.rfl theorem Indep.indep_restrict_of_subset (h : M.Indep I) (hIR : I ⊆ R) : (M ↾ R).Indep I := restrict_indep_iff.mpr ⟨h,hIR⟩ theorem Indep.of_restrict (hI : (M ↾ R).Indep I) : M.Indep I := (restrict_indep_iff.1 hI).1 @[simp] theorem restrict_ground_eq : (M ↾ R).E = R := rfl theorem restrict_finite {R : Set α} (hR : R.Finite) : (M ↾ R).Finite := ⟨hR⟩ @[simp] theorem restrict_dep_iff : (M ↾ R).Dep X ↔ ¬ M.Indep X ∧ X ⊆ R := by rw [Dep, restrict_indep_iff, restrict_ground_eq]; tauto @[simp] theorem restrict_ground_eq_self (M : Matroid α) : (M ↾ M.E) = M := by refine eq_of_indep_iff_indep_forall rfl ?_; aesop theorem restrict_restrict_eq {R₁ R₂ : Set α} (M : Matroid α) (hR : R₂ ⊆ R₁) : (M ↾ R₁) ↾ R₂ = M ↾ R₂ := by refine eq_of_indep_iff_indep_forall rfl ?_ simp only [restrict_ground_eq, restrict_indep_iff, and_congr_left_iff, and_iff_left_iff_imp] exact fun _ h _ _ ↦ h.trans hR @[simp] theorem restrict_idem (M : Matroid α) (R : Set α) : M ↾ R ↾ R = M ↾ R := by rw [M.restrict_restrict_eq Subset.rfl] @[simp] theorem base_restrict_iff (hX : X ⊆ M.E := by aesop_mat) : (M ↾ X).Base I ↔ M.Basis I X := by simp_rw [base_iff_maximal_indep, basis_iff', restrict_indep_iff, and_iff_left hX, and_assoc] aesop theorem base_restrict_iff' : (M ↾ X).Base I ↔ M.Basis' I X := by simp_rw [Basis', base_iff_maximal_indep, mem_maximals_setOf_iff, restrict_indep_iff]
Mathlib/Data/Matroid/Restrict.lean
159
163
theorem Basis.restrict_base (h : M.Basis I X) : (M ↾ X).Base I := by
rw [basis_iff'] at h simp_rw [base_iff_maximal_indep, restrict_indep_iff, and_imp, and_assoc, and_iff_right h.1.1, and_iff_right h.1.2.1] exact fun J hJ hJX hIJ ↦ h.1.2.2 _ hJ hIJ hJX
4
54.59815
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810
import Mathlib.Analysis.NormedSpace.Multilinear.Curry #align_import analysis.calculus.formal_multilinear_series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open Set Fin Topology -- Porting note: added explicit universes to fix compile universe u u' v w x variable {𝕜 : Type u} {𝕜' : Type u'} {E : Type v} {F : Type w} {G : Type x} section variable [Ring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F] [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] [AddCommGroup G] [Module 𝕜 G] [TopologicalSpace G] [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G] @[nolint unusedArguments] def FormalMultilinearSeries (𝕜 : Type*) (E : Type*) (F : Type*) [Ring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F] [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] := ∀ n : ℕ, E[×n]→L[𝕜] F #align formal_multilinear_series FormalMultilinearSeries -- Porting note: was `deriving` instance : AddCommGroup (FormalMultilinearSeries 𝕜 E F) := inferInstanceAs <| AddCommGroup <| ∀ n : ℕ, E[×n]→L[𝕜] F instance : Inhabited (FormalMultilinearSeries 𝕜 E F) := ⟨0⟩ namespace FormalMultilinearSeries @[simp] -- Porting note (#10756): new theorem; was not needed in Lean 3 theorem zero_apply (n : ℕ) : (0 : FormalMultilinearSeries 𝕜 E F) n = 0 := rfl @[simp] -- Porting note (#10756): new theorem; was not needed in Lean 3 theorem neg_apply (f : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : (-f) n = - f n := rfl @[ext] -- Porting note (#10756): new theorem protected theorem ext {p q : FormalMultilinearSeries 𝕜 E F} (h : ∀ n, p n = q n) : p = q := funext h protected theorem ext_iff {p q : FormalMultilinearSeries 𝕜 E F} : p = q ↔ ∀ n, p n = q n := Function.funext_iff #align formal_multilinear_series.ext_iff FormalMultilinearSeries.ext_iff protected theorem ne_iff {p q : FormalMultilinearSeries 𝕜 E F} : p ≠ q ↔ ∃ n, p n ≠ q n := Function.ne_iff #align formal_multilinear_series.ne_iff FormalMultilinearSeries.ne_iff def prod (p : FormalMultilinearSeries 𝕜 E F) (q : FormalMultilinearSeries 𝕜 E G) : FormalMultilinearSeries 𝕜 E (F × G) | n => (p n).prod (q n) def removeZero (p : FormalMultilinearSeries 𝕜 E F) : FormalMultilinearSeries 𝕜 E F | 0 => 0 | n + 1 => p (n + 1) #align formal_multilinear_series.remove_zero FormalMultilinearSeries.removeZero @[simp] theorem removeZero_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) : p.removeZero 0 = 0 := rfl #align formal_multilinear_series.remove_zero_coeff_zero FormalMultilinearSeries.removeZero_coeff_zero @[simp] theorem removeZero_coeff_succ (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : p.removeZero (n + 1) = p (n + 1) := rfl #align formal_multilinear_series.remove_zero_coeff_succ FormalMultilinearSeries.removeZero_coeff_succ
Mathlib/Analysis/Calculus/FormalMultilinearSeries.lean
111
114
theorem removeZero_of_pos (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (h : 0 < n) : p.removeZero n = p n := by
rw [← Nat.succ_pred_eq_of_pos h] rfl
2
7.389056
1
1
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import Mathlib.Analysis.NormedSpace.Multilinear.Curry #align_import analysis.calculus.formal_multilinear_series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open Set Fin Topology -- Porting note: added explicit universes to fix compile universe u u' v w x variable {𝕜 : Type u} {𝕜' : Type u'} {E : Type v} {F : Type w} {G : Type x} section variable [Ring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F] [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] [AddCommGroup G] [Module 𝕜 G] [TopologicalSpace G] [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G] @[nolint unusedArguments] def FormalMultilinearSeries (𝕜 : Type*) (E : Type*) (F : Type*) [Ring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F] [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] := ∀ n : ℕ, E[×n]→L[𝕜] F #align formal_multilinear_series FormalMultilinearSeries -- Porting note: was `deriving` instance : AddCommGroup (FormalMultilinearSeries 𝕜 E F) := inferInstanceAs <| AddCommGroup <| ∀ n : ℕ, E[×n]→L[𝕜] F instance : Inhabited (FormalMultilinearSeries 𝕜 E F) := ⟨0⟩ namespace FormalMultilinearSeries @[simp] -- Porting note (#10756): new theorem; was not needed in Lean 3 theorem zero_apply (n : ℕ) : (0 : FormalMultilinearSeries 𝕜 E F) n = 0 := rfl @[simp] -- Porting note (#10756): new theorem; was not needed in Lean 3 theorem neg_apply (f : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : (-f) n = - f n := rfl @[ext] -- Porting note (#10756): new theorem protected theorem ext {p q : FormalMultilinearSeries 𝕜 E F} (h : ∀ n, p n = q n) : p = q := funext h protected theorem ext_iff {p q : FormalMultilinearSeries 𝕜 E F} : p = q ↔ ∀ n, p n = q n := Function.funext_iff #align formal_multilinear_series.ext_iff FormalMultilinearSeries.ext_iff protected theorem ne_iff {p q : FormalMultilinearSeries 𝕜 E F} : p ≠ q ↔ ∃ n, p n ≠ q n := Function.ne_iff #align formal_multilinear_series.ne_iff FormalMultilinearSeries.ne_iff def prod (p : FormalMultilinearSeries 𝕜 E F) (q : FormalMultilinearSeries 𝕜 E G) : FormalMultilinearSeries 𝕜 E (F × G) | n => (p n).prod (q n) def removeZero (p : FormalMultilinearSeries 𝕜 E F) : FormalMultilinearSeries 𝕜 E F | 0 => 0 | n + 1 => p (n + 1) #align formal_multilinear_series.remove_zero FormalMultilinearSeries.removeZero @[simp] theorem removeZero_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) : p.removeZero 0 = 0 := rfl #align formal_multilinear_series.remove_zero_coeff_zero FormalMultilinearSeries.removeZero_coeff_zero @[simp] theorem removeZero_coeff_succ (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : p.removeZero (n + 1) = p (n + 1) := rfl #align formal_multilinear_series.remove_zero_coeff_succ FormalMultilinearSeries.removeZero_coeff_succ theorem removeZero_of_pos (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (h : 0 < n) : p.removeZero n = p n := by rw [← Nat.succ_pred_eq_of_pos h] rfl #align formal_multilinear_series.remove_zero_of_pos FormalMultilinearSeries.removeZero_of_pos
Mathlib/Analysis/Calculus/FormalMultilinearSeries.lean
119
124
theorem congr (p : FormalMultilinearSeries 𝕜 E F) {m n : ℕ} {v : Fin m → E} {w : Fin n → E} (h1 : m = n) (h2 : ∀ (i : ℕ) (him : i < m) (hin : i < n), v ⟨i, him⟩ = w ⟨i, hin⟩) : p m v = p n w := by
subst n congr with ⟨i, hi⟩ exact h2 i hi hi
3
20.085537
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import Mathlib.CategoryTheory.Endomorphism import Mathlib.CategoryTheory.FinCategory.Basic import Mathlib.CategoryTheory.Category.Cat import Mathlib.Algebra.Category.MonCat.Basic import Mathlib.Combinatorics.Quiver.SingleObj #align_import category_theory.single_obj from "leanprover-community/mathlib"@"56adee5b5eef9e734d82272918300fca4f3e7cef" universe u v w namespace CategoryTheory abbrev SingleObj := Quiver.SingleObj #align category_theory.single_obj CategoryTheory.SingleObj namespace SingleObj variable (M G : Type u) instance categoryStruct [One M] [Mul M] : CategoryStruct (SingleObj M) where Hom _ _ := M comp x y := y * x id _ := 1 #align category_theory.single_obj.category_struct CategoryTheory.SingleObj.categoryStruct variable [Monoid M] [Group G] instance category : Category (SingleObj M) where comp_id := one_mul id_comp := mul_one assoc x y z := (mul_assoc z y x).symm #align category_theory.single_obj.category CategoryTheory.SingleObj.category theorem id_as_one (x : SingleObj M) : 𝟙 x = 1 := rfl #align category_theory.single_obj.id_as_one CategoryTheory.SingleObj.id_as_one theorem comp_as_mul {x y z : SingleObj M} (f : x ⟶ y) (g : y ⟶ z) : f ≫ g = g * f := rfl #align category_theory.single_obj.comp_as_mul CategoryTheory.SingleObj.comp_as_mul instance finCategoryOfFintype (M : Type) [Fintype M] [Monoid M] : FinCategory (SingleObj M) where instance groupoid : Groupoid (SingleObj G) where inv x := x⁻¹ inv_comp := mul_right_inv comp_inv := mul_left_inv #align category_theory.single_obj.groupoid CategoryTheory.SingleObj.groupoid
Mathlib/CategoryTheory/SingleObj.lean
93
95
theorem inv_as_inv {x y : SingleObj G} (f : x ⟶ y) : inv f = f⁻¹ := by
apply IsIso.inv_eq_of_hom_inv_id rw [comp_as_mul, inv_mul_self, id_as_one]
2
7.389056
1
1
1
812
import Mathlib.Data.Vector.Basic import Mathlib.Data.List.Zip #align_import data.vector.zip from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe" namespace Vector section ZipWith variable {α β γ : Type*} {n : ℕ} (f : α → β → γ) def zipWith : Vector α n → Vector β n → Vector γ n := fun x y => ⟨List.zipWith f x.1 y.1, by simp⟩ #align vector.zip_with Vector.zipWith @[simp] theorem zipWith_toList (x : Vector α n) (y : Vector β n) : (Vector.zipWith f x y).toList = List.zipWith f x.toList y.toList := rfl #align vector.zip_with_to_list Vector.zipWith_toList @[simp]
Mathlib/Data/Vector/Zip.lean
33
36
theorem zipWith_get (x : Vector α n) (y : Vector β n) (i) : (Vector.zipWith f x y).get i = f (x.get i) (y.get i) := by
dsimp only [Vector.zipWith, Vector.get] simp only [List.get_zipWith, Fin.cast]
2
7.389056
1
1
2
813
import Mathlib.Data.Vector.Basic import Mathlib.Data.List.Zip #align_import data.vector.zip from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe" namespace Vector section ZipWith variable {α β γ : Type*} {n : ℕ} (f : α → β → γ) def zipWith : Vector α n → Vector β n → Vector γ n := fun x y => ⟨List.zipWith f x.1 y.1, by simp⟩ #align vector.zip_with Vector.zipWith @[simp] theorem zipWith_toList (x : Vector α n) (y : Vector β n) : (Vector.zipWith f x y).toList = List.zipWith f x.toList y.toList := rfl #align vector.zip_with_to_list Vector.zipWith_toList @[simp] theorem zipWith_get (x : Vector α n) (y : Vector β n) (i) : (Vector.zipWith f x y).get i = f (x.get i) (y.get i) := by dsimp only [Vector.zipWith, Vector.get] simp only [List.get_zipWith, Fin.cast] #align vector.zip_with_nth Vector.zipWith_get @[simp]
Mathlib/Data/Vector/Zip.lean
40
43
theorem zipWith_tail (x : Vector α n) (y : Vector β n) : (Vector.zipWith f x y).tail = Vector.zipWith f x.tail y.tail := by
ext simp [get_tail]
2
7.389056
1
1
2
813
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
48
55
theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by
induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m')
6
403.428793
2
1
8
814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m')
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
57
63
theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by
induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩
5
148.413159
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814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H ..
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
80
81
theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by
induction l <;> simp [*]
1
2.718282
0
1
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814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H .. theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by induction l <;> simp [*] theorem Pairwise.and_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.imp_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true })
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
91
102
theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l) (h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by
induction l with | nil => exact forall_mem_nil _ | cons a l ih => rw [pairwise_cons] at h₂ h₃ simp only [mem_cons] rintro x (rfl | hx) y (rfl | hy) · exact h₁ _ (l.mem_cons_self _) · exact h₂.1 _ hy · exact h₃.1 _ hx · exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy
10
22,026.465795
2
1
8
814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H .. theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by induction l <;> simp [*] theorem Pairwise.and_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.imp_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l) (h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by induction l with | nil => exact forall_mem_nil _ | cons a l ih => rw [pairwise_cons] at h₂ h₃ simp only [mem_cons] rintro x (rfl | hx) y (rfl | hy) · exact h₁ _ (l.mem_cons_self _) · exact h₂.1 _ hy · exact h₃.1 _ hx · exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
104
104
theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by
simp
1
2.718282
0
1
8
814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H .. theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by induction l <;> simp [*] theorem Pairwise.and_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.imp_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l) (h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by induction l with | nil => exact forall_mem_nil _ | cons a l ih => rw [pairwise_cons] at h₂ h₃ simp only [mem_cons] rintro x (rfl | hx) y (rfl | hy) · exact h₁ _ (l.mem_cons_self _) · exact h₂.1 _ hy · exact h₃.1 _ hx · exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by simp
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
106
106
theorem pairwise_pair {a b : α} : Pairwise R [a, b] ↔ R a b := by
simp
1
2.718282
0
1
8
814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H .. theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by induction l <;> simp [*] theorem Pairwise.and_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.imp_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l) (h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by induction l with | nil => exact forall_mem_nil _ | cons a l ih => rw [pairwise_cons] at h₂ h₃ simp only [mem_cons] rintro x (rfl | hx) y (rfl | hy) · exact h₁ _ (l.mem_cons_self _) · exact h₂.1 _ hy · exact h₃.1 _ hx · exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by simp theorem pairwise_pair {a b : α} : Pairwise R [a, b] ↔ R a b := by simp
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
108
112
theorem pairwise_append_comm {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {l₁ l₂ : List α} : Pairwise R (l₁ ++ l₂) ↔ Pairwise R (l₂ ++ l₁) := by
have (l₁ l₂ : List α) (H : ∀ x : α, x ∈ l₁ → ∀ y : α, y ∈ l₂ → R x y) (x : α) (xm : x ∈ l₂) (y : α) (ym : y ∈ l₁) : R x y := s (H y ym x xm) simp only [pairwise_append, and_left_comm]; rw [Iff.intro (this l₁ l₂) (this l₂ l₁)]
3
20.085537
1
1
8
814
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H .. theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by induction l <;> simp [*] theorem Pairwise.and_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.imp_mem {l : List α} : Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l := Pairwise.iff_of_mem <| by simp (config := { contextual := true }) theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l) (h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by induction l with | nil => exact forall_mem_nil _ | cons a l ih => rw [pairwise_cons] at h₂ h₃ simp only [mem_cons] rintro x (rfl | hx) y (rfl | hy) · exact h₁ _ (l.mem_cons_self _) · exact h₂.1 _ hy · exact h₃.1 _ hx · exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by simp theorem pairwise_pair {a b : α} : Pairwise R [a, b] ↔ R a b := by simp theorem pairwise_append_comm {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {l₁ l₂ : List α} : Pairwise R (l₁ ++ l₂) ↔ Pairwise R (l₂ ++ l₁) := by have (l₁ l₂ : List α) (H : ∀ x : α, x ∈ l₁ → ∀ y : α, y ∈ l₂ → R x y) (x : α) (xm : x ∈ l₂) (y : α) (ym : y ∈ l₁) : R x y := s (H y ym x xm) simp only [pairwise_append, and_left_comm]; rw [Iff.intro (this l₁ l₂) (this l₂ l₁)]
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
114
118
theorem pairwise_middle {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {a : α} {l₁ l₂ : List α} : Pairwise R (l₁ ++ a :: l₂) ↔ Pairwise R (a :: (l₁ ++ l₂)) := by
show Pairwise R (l₁ ++ ([a] ++ l₂)) ↔ Pairwise R ([a] ++ l₁ ++ l₂) rw [← append_assoc, pairwise_append, @pairwise_append _ _ ([a] ++ l₁), pairwise_append_comm s] simp only [mem_append, or_comm]
3
20.085537
1
1
8
814
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840" noncomputable section open Affine open Set section variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] def vectorSpan (s : Set P) : Submodule k V := Submodule.span k (s -ᵥ s) #align vector_span vectorSpan theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) := rfl #align vector_span_def vectorSpan_def theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ := Submodule.span_mono (vsub_self_mono h) #align vector_span_mono vectorSpan_mono variable (P) @[simp]
Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean
78
79
theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by
rw [vectorSpan_def, vsub_empty, Submodule.span_empty]
1
2.718282
0
1
5
815
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840" noncomputable section open Affine open Set section variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] def vectorSpan (s : Set P) : Submodule k V := Submodule.span k (s -ᵥ s) #align vector_span vectorSpan theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) := rfl #align vector_span_def vectorSpan_def theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ := Submodule.span_mono (vsub_self_mono h) #align vector_span_mono vectorSpan_mono variable (P) @[simp] theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by rw [vectorSpan_def, vsub_empty, Submodule.span_empty] #align vector_span_empty vectorSpan_empty variable {P} @[simp]
Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean
86
86
theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by
simp [vectorSpan_def]
1
2.718282
0
1
5
815
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840" noncomputable section open Affine open Set section variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] def vectorSpan (s : Set P) : Submodule k V := Submodule.span k (s -ᵥ s) #align vector_span vectorSpan theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) := rfl #align vector_span_def vectorSpan_def theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ := Submodule.span_mono (vsub_self_mono h) #align vector_span_mono vectorSpan_mono variable (P) @[simp] theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by rw [vectorSpan_def, vsub_empty, Submodule.span_empty] #align vector_span_empty vectorSpan_empty variable {P} @[simp] theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by simp [vectorSpan_def] #align vector_span_singleton vectorSpan_singleton theorem vsub_set_subset_vectorSpan (s : Set P) : s -ᵥ s ⊆ ↑(vectorSpan k s) := Submodule.subset_span #align vsub_set_subset_vector_span vsub_set_subset_vectorSpan theorem vsub_mem_vectorSpan {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) : p1 -ᵥ p2 ∈ vectorSpan k s := vsub_set_subset_vectorSpan k s (vsub_mem_vsub hp1 hp2) #align vsub_mem_vector_span vsub_mem_vectorSpan def spanPoints (s : Set P) : Set P := { p | ∃ p1 ∈ s, ∃ v ∈ vectorSpan k s, p = v +ᵥ p1 } #align span_points spanPoints theorem mem_spanPoints (p : P) (s : Set P) : p ∈ s → p ∈ spanPoints k s | hp => ⟨p, hp, 0, Submodule.zero_mem _, (zero_vadd V p).symm⟩ #align mem_span_points mem_spanPoints theorem subset_spanPoints (s : Set P) : s ⊆ spanPoints k s := fun p => mem_spanPoints k p s #align subset_span_points subset_spanPoints @[simp]
Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean
117
123
theorem spanPoints_nonempty (s : Set P) : (spanPoints k s).Nonempty ↔ s.Nonempty := by
constructor · contrapose rw [Set.not_nonempty_iff_eq_empty, Set.not_nonempty_iff_eq_empty] intro h simp [h, spanPoints] · exact fun h => h.mono (subset_spanPoints _ _)
6
403.428793
2
1
5
815
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840" noncomputable section open Affine open Set section variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] def vectorSpan (s : Set P) : Submodule k V := Submodule.span k (s -ᵥ s) #align vector_span vectorSpan theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) := rfl #align vector_span_def vectorSpan_def theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ := Submodule.span_mono (vsub_self_mono h) #align vector_span_mono vectorSpan_mono variable (P) @[simp] theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by rw [vectorSpan_def, vsub_empty, Submodule.span_empty] #align vector_span_empty vectorSpan_empty variable {P} @[simp] theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by simp [vectorSpan_def] #align vector_span_singleton vectorSpan_singleton theorem vsub_set_subset_vectorSpan (s : Set P) : s -ᵥ s ⊆ ↑(vectorSpan k s) := Submodule.subset_span #align vsub_set_subset_vector_span vsub_set_subset_vectorSpan theorem vsub_mem_vectorSpan {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) : p1 -ᵥ p2 ∈ vectorSpan k s := vsub_set_subset_vectorSpan k s (vsub_mem_vsub hp1 hp2) #align vsub_mem_vector_span vsub_mem_vectorSpan def spanPoints (s : Set P) : Set P := { p | ∃ p1 ∈ s, ∃ v ∈ vectorSpan k s, p = v +ᵥ p1 } #align span_points spanPoints theorem mem_spanPoints (p : P) (s : Set P) : p ∈ s → p ∈ spanPoints k s | hp => ⟨p, hp, 0, Submodule.zero_mem _, (zero_vadd V p).symm⟩ #align mem_span_points mem_spanPoints theorem subset_spanPoints (s : Set P) : s ⊆ spanPoints k s := fun p => mem_spanPoints k p s #align subset_span_points subset_spanPoints @[simp] theorem spanPoints_nonempty (s : Set P) : (spanPoints k s).Nonempty ↔ s.Nonempty := by constructor · contrapose rw [Set.not_nonempty_iff_eq_empty, Set.not_nonempty_iff_eq_empty] intro h simp [h, spanPoints] · exact fun h => h.mono (subset_spanPoints _ _) #align span_points_nonempty spanPoints_nonempty
Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean
128
132
theorem vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan {s : Set P} {p : P} {v : V} (hp : p ∈ spanPoints k s) (hv : v ∈ vectorSpan k s) : v +ᵥ p ∈ spanPoints k s := by
rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩ rw [hv2p, vadd_vadd] exact ⟨p2, hp2, v + v2, (vectorSpan k s).add_mem hv hv2, rfl⟩
3
20.085537
1
1
5
815
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840" noncomputable section open Affine open Set section variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] def vectorSpan (s : Set P) : Submodule k V := Submodule.span k (s -ᵥ s) #align vector_span vectorSpan theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) := rfl #align vector_span_def vectorSpan_def theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ := Submodule.span_mono (vsub_self_mono h) #align vector_span_mono vectorSpan_mono variable (P) @[simp] theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by rw [vectorSpan_def, vsub_empty, Submodule.span_empty] #align vector_span_empty vectorSpan_empty variable {P} @[simp] theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by simp [vectorSpan_def] #align vector_span_singleton vectorSpan_singleton theorem vsub_set_subset_vectorSpan (s : Set P) : s -ᵥ s ⊆ ↑(vectorSpan k s) := Submodule.subset_span #align vsub_set_subset_vector_span vsub_set_subset_vectorSpan theorem vsub_mem_vectorSpan {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) : p1 -ᵥ p2 ∈ vectorSpan k s := vsub_set_subset_vectorSpan k s (vsub_mem_vsub hp1 hp2) #align vsub_mem_vector_span vsub_mem_vectorSpan def spanPoints (s : Set P) : Set P := { p | ∃ p1 ∈ s, ∃ v ∈ vectorSpan k s, p = v +ᵥ p1 } #align span_points spanPoints theorem mem_spanPoints (p : P) (s : Set P) : p ∈ s → p ∈ spanPoints k s | hp => ⟨p, hp, 0, Submodule.zero_mem _, (zero_vadd V p).symm⟩ #align mem_span_points mem_spanPoints theorem subset_spanPoints (s : Set P) : s ⊆ spanPoints k s := fun p => mem_spanPoints k p s #align subset_span_points subset_spanPoints @[simp] theorem spanPoints_nonempty (s : Set P) : (spanPoints k s).Nonempty ↔ s.Nonempty := by constructor · contrapose rw [Set.not_nonempty_iff_eq_empty, Set.not_nonempty_iff_eq_empty] intro h simp [h, spanPoints] · exact fun h => h.mono (subset_spanPoints _ _) #align span_points_nonempty spanPoints_nonempty theorem vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan {s : Set P} {p : P} {v : V} (hp : p ∈ spanPoints k s) (hv : v ∈ vectorSpan k s) : v +ᵥ p ∈ spanPoints k s := by rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩ rw [hv2p, vadd_vadd] exact ⟨p2, hp2, v + v2, (vectorSpan k s).add_mem hv hv2, rfl⟩ #align vadd_mem_span_points_of_mem_span_points_of_mem_vector_span vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan
Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean
136
143
theorem vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ spanPoints k s) (hp2 : p2 ∈ spanPoints k s) : p1 -ᵥ p2 ∈ vectorSpan k s := by
rcases hp1 with ⟨p1a, ⟨hp1a, ⟨v1, ⟨hv1, hv1p⟩⟩⟩⟩ rcases hp2 with ⟨p2a, ⟨hp2a, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩ rw [hv1p, hv2p, vsub_vadd_eq_vsub_sub (v1 +ᵥ p1a), vadd_vsub_assoc, add_comm, add_sub_assoc] have hv1v2 : v1 - v2 ∈ vectorSpan k s := (vectorSpan k s).sub_mem hv1 hv2 refine (vectorSpan k s).add_mem ?_ hv1v2 exact vsub_mem_vectorSpan k hp1a hp2a
6
403.428793
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import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100]
Mathlib/Data/Finset/Image.lean
81
86
theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by
rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩
5
148.413159
2
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816
import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100] theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩ #align finset.mem_map_equiv Finset.mem_map_equiv -- The simpNF linter says that the LHS can be simplified via `Finset.mem_map`. -- However this is a higher priority lemma. -- https://github.com/leanprover/std4/issues/207 @[simp 1100, nolint simpNF] theorem mem_map' (f : α ↪ β) {a} {s : Finset α} : f a ∈ s.map f ↔ a ∈ s := mem_map_of_injective f.2 #align finset.mem_map' Finset.mem_map' theorem mem_map_of_mem (f : α ↪ β) {a} {s : Finset α} : a ∈ s → f a ∈ s.map f := (mem_map' _).2 #align finset.mem_map_of_mem Finset.mem_map_of_mem theorem forall_mem_map {f : α ↪ β} {s : Finset α} {p : ∀ a, a ∈ s.map f → Prop} : (∀ y (H : y ∈ s.map f), p y H) ↔ ∀ x (H : x ∈ s), p (f x) (mem_map_of_mem _ H) := ⟨fun h y hy => h (f y) (mem_map_of_mem _ hy), fun h x hx => by obtain ⟨y, hy, rfl⟩ := mem_map.1 hx exact h _ hy⟩ #align finset.forall_mem_map Finset.forall_mem_map theorem apply_coe_mem_map (f : α ↪ β) (s : Finset α) (x : s) : f x ∈ s.map f := mem_map_of_mem f x.prop #align finset.apply_coe_mem_map Finset.apply_coe_mem_map @[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : Finset α) : (s.map f : Set β) = f '' s := Set.ext (by simp only [mem_coe, mem_map, Set.mem_image, implies_true]) #align finset.coe_map Finset.coe_map theorem coe_map_subset_range (f : α ↪ β) (s : Finset α) : (s.map f : Set β) ⊆ Set.range f := calc ↑(s.map f) = f '' s := coe_map f s _ ⊆ Set.range f := Set.image_subset_range f ↑s #align finset.coe_map_subset_range Finset.coe_map_subset_range theorem map_perm {σ : Equiv.Perm α} (hs : { a | σ a ≠ a } ⊆ s) : s.map (σ : α ↪ α) = s := coe_injective <| (coe_map _ _).trans <| Set.image_perm hs #align finset.map_perm Finset.map_perm theorem map_toFinset [DecidableEq α] [DecidableEq β] {s : Multiset α} : s.toFinset.map f = (s.map f).toFinset := ext fun _ => by simp only [mem_map, Multiset.mem_map, exists_prop, Multiset.mem_toFinset] #align finset.map_to_finset Finset.map_toFinset @[simp] theorem map_refl : s.map (Embedding.refl _) = s := ext fun _ => by simpa only [mem_map, exists_prop] using exists_eq_right #align finset.map_refl Finset.map_refl @[simp]
Mathlib/Data/Finset/Image.lean
141
144
theorem map_cast_heq {α β} (h : α = β) (s : Finset α) : HEq (s.map (Equiv.cast h).toEmbedding) s := by
subst h simp
2
7.389056
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816
import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100] theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩ #align finset.mem_map_equiv Finset.mem_map_equiv -- The simpNF linter says that the LHS can be simplified via `Finset.mem_map`. -- However this is a higher priority lemma. -- https://github.com/leanprover/std4/issues/207 @[simp 1100, nolint simpNF] theorem mem_map' (f : α ↪ β) {a} {s : Finset α} : f a ∈ s.map f ↔ a ∈ s := mem_map_of_injective f.2 #align finset.mem_map' Finset.mem_map' theorem mem_map_of_mem (f : α ↪ β) {a} {s : Finset α} : a ∈ s → f a ∈ s.map f := (mem_map' _).2 #align finset.mem_map_of_mem Finset.mem_map_of_mem theorem forall_mem_map {f : α ↪ β} {s : Finset α} {p : ∀ a, a ∈ s.map f → Prop} : (∀ y (H : y ∈ s.map f), p y H) ↔ ∀ x (H : x ∈ s), p (f x) (mem_map_of_mem _ H) := ⟨fun h y hy => h (f y) (mem_map_of_mem _ hy), fun h x hx => by obtain ⟨y, hy, rfl⟩ := mem_map.1 hx exact h _ hy⟩ #align finset.forall_mem_map Finset.forall_mem_map theorem apply_coe_mem_map (f : α ↪ β) (s : Finset α) (x : s) : f x ∈ s.map f := mem_map_of_mem f x.prop #align finset.apply_coe_mem_map Finset.apply_coe_mem_map @[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : Finset α) : (s.map f : Set β) = f '' s := Set.ext (by simp only [mem_coe, mem_map, Set.mem_image, implies_true]) #align finset.coe_map Finset.coe_map theorem coe_map_subset_range (f : α ↪ β) (s : Finset α) : (s.map f : Set β) ⊆ Set.range f := calc ↑(s.map f) = f '' s := coe_map f s _ ⊆ Set.range f := Set.image_subset_range f ↑s #align finset.coe_map_subset_range Finset.coe_map_subset_range theorem map_perm {σ : Equiv.Perm α} (hs : { a | σ a ≠ a } ⊆ s) : s.map (σ : α ↪ α) = s := coe_injective <| (coe_map _ _).trans <| Set.image_perm hs #align finset.map_perm Finset.map_perm theorem map_toFinset [DecidableEq α] [DecidableEq β] {s : Multiset α} : s.toFinset.map f = (s.map f).toFinset := ext fun _ => by simp only [mem_map, Multiset.mem_map, exists_prop, Multiset.mem_toFinset] #align finset.map_to_finset Finset.map_toFinset @[simp] theorem map_refl : s.map (Embedding.refl _) = s := ext fun _ => by simpa only [mem_map, exists_prop] using exists_eq_right #align finset.map_refl Finset.map_refl @[simp] theorem map_cast_heq {α β} (h : α = β) (s : Finset α) : HEq (s.map (Equiv.cast h).toEmbedding) s := by subst h simp #align finset.map_cast_heq Finset.map_cast_heq theorem map_map (f : α ↪ β) (g : β ↪ γ) (s : Finset α) : (s.map f).map g = s.map (f.trans g) := eq_of_veq <| by simp only [map_val, Multiset.map_map]; rfl #align finset.map_map Finset.map_map
Mathlib/Data/Finset/Image.lean
151
153
theorem map_comm {β'} {f : β ↪ γ} {g : α ↪ β} {f' : α ↪ β'} {g' : β' ↪ γ} (h_comm : ∀ a, f (g a) = g' (f' a)) : (s.map g).map f = (s.map f').map g' := by
simp_rw [map_map, Embedding.trans, Function.comp, h_comm]
1
2.718282
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816
import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Topology.Algebra.Star noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section ProdDomain variable [CommMonoid α] [TopologicalSpace α] @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Constructions.lean
33
35
theorem hasProd_pi_single [DecidableEq β] (b : β) (a : α) : HasProd (Pi.mulSingle b a) a := by
convert hasProd_ite_eq b a simp [Pi.mulSingle_apply]
2
7.389056
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import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Topology.Algebra.Star noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section ProdDomain variable [CommMonoid α] [TopologicalSpace α] @[to_additive] theorem hasProd_pi_single [DecidableEq β] (b : β) (a : α) : HasProd (Pi.mulSingle b a) a := by convert hasProd_ite_eq b a simp [Pi.mulSingle_apply] #align has_sum_pi_single hasSum_pi_single @[to_additive (attr := simp)]
Mathlib/Topology/Algebra/InfiniteSum/Constructions.lean
39
42
theorem tprod_pi_single [DecidableEq β] (b : β) (a : α) : ∏' b', Pi.mulSingle b a b' = a := by
rw [tprod_eq_mulSingle b] · simp · intro b' hb'; simp [hb']
3
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817
import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Topology.Algebra.Star noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section ProdCodomain variable [CommMonoid α] [TopologicalSpace α] [CommMonoid γ] [TopologicalSpace γ] @[to_additive HasSum.prod_mk]
Mathlib/Topology/Algebra/InfiniteSum/Constructions.lean
68
70
theorem HasProd.prod_mk {f : β → α} {g : β → γ} {a : α} {b : γ} (hf : HasProd f a) (hg : HasProd g b) : HasProd (fun x ↦ (⟨f x, g x⟩ : α × γ)) ⟨a, b⟩ := by
simp [HasProd, ← prod_mk_prod, Filter.Tendsto.prod_mk_nhds hf hg]
1
2.718282
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4
817
import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Topology.Algebra.Star noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section ContinuousMul variable [CommMonoid α] [TopologicalSpace α] [ContinuousMul α] section RegularSpace variable [RegularSpace α] @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Constructions.lean
84
101
theorem HasProd.sigma {γ : β → Type*} {f : (Σ b : β, γ b) → α} {g : β → α} {a : α} (ha : HasProd f a) (hf : ∀ b, HasProd (fun c ↦ f ⟨b, c⟩) (g b)) : HasProd g a := by
classical refine (atTop_basis.tendsto_iff (closed_nhds_basis a)).mpr ?_ rintro s ⟨hs, hsc⟩ rcases mem_atTop_sets.mp (ha hs) with ⟨u, hu⟩ use u.image Sigma.fst, trivial intro bs hbs simp only [Set.mem_preimage, ge_iff_le, Finset.le_iff_subset] at hu have : Tendsto (fun t : Finset (Σb, γ b) ↦ ∏ p ∈ t.filter fun p ↦ p.1 ∈ bs, f p) atTop (𝓝 <| ∏ b ∈ bs, g b) := by simp only [← sigma_preimage_mk, prod_sigma] refine tendsto_finset_prod _ fun b _ ↦ ?_ change Tendsto (fun t ↦ (fun t ↦ ∏ s ∈ t, f ⟨b, s⟩) (preimage t (Sigma.mk b) _)) atTop (𝓝 (g b)) exact (hf b).comp (tendsto_finset_preimage_atTop_atTop (sigma_mk_injective)) refine hsc.mem_of_tendsto this (eventually_atTop.2 ⟨u, fun t ht ↦ hu _ fun x hx ↦ ?_⟩) exact mem_filter.2 ⟨ht hx, hbs <| mem_image_of_mem _ hx⟩
16
8,886,110.520508
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import Mathlib.Data.List.Basic #align_import data.list.count from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" assert_not_exists Set.range assert_not_exists GroupWithZero assert_not_exists Ring open Nat variable {α : Type*} {l : List α} namespace List section CountP variable (p q : α → Bool) #align list.countp_nil List.countP_nil #align list.countp_cons_of_pos List.countP_cons_of_pos #align list.countp_cons_of_neg List.countP_cons_of_neg #align list.countp_cons List.countP_cons #align list.length_eq_countp_add_countp List.length_eq_countP_add_countP #align list.countp_eq_length_filter List.countP_eq_length_filter #align list.countp_le_length List.countP_le_length #align list.countp_append List.countP_append #align list.countp_pos List.countP_pos #align list.countp_eq_zero List.countP_eq_zero #align list.countp_eq_length List.countP_eq_length
Mathlib/Data/List/Count.lean
54
57
theorem length_filter_lt_length_iff_exists (l) : length (filter p l) < length l ↔ ∃ x ∈ l, ¬p x := by
simpa [length_eq_countP_add_countP p l, countP_eq_length_filter] using countP_pos (fun x => ¬p x) (l := l)
2
7.389056
1
1
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818
import Mathlib.Data.List.Basic #align_import data.list.count from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" assert_not_exists Set.range assert_not_exists GroupWithZero assert_not_exists Ring open Nat variable {α : Type*} {l : List α} namespace List section Count variable [DecidableEq α] #align list.count_nil List.count_nil @[deprecated (since := "2023-08-23")]
Mathlib/Data/List/Count.lean
90
93
theorem count_cons' (a b : α) (l : List α) : count a (b :: l) = count a l + if a = b then 1 else 0 := by
simp only [count, beq_iff_eq, countP_cons, Nat.add_right_inj] simp only [eq_comm]
2
7.389056
1
1
2
818
import Mathlib.Data.List.Range import Mathlib.Data.Multiset.Range #align_import data.multiset.nodup from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" namespace Multiset open Function List variable {α β γ : Type*} {r : α → α → Prop} {s t : Multiset α} {a : α} -- nodup def Nodup (s : Multiset α) : Prop := Quot.liftOn s List.Nodup fun _ _ p => propext p.nodup_iff #align multiset.nodup Multiset.Nodup @[simp] theorem coe_nodup {l : List α} : @Nodup α l ↔ l.Nodup := Iff.rfl #align multiset.coe_nodup Multiset.coe_nodup @[simp] theorem nodup_zero : @Nodup α 0 := Pairwise.nil #align multiset.nodup_zero Multiset.nodup_zero @[simp] theorem nodup_cons {a : α} {s : Multiset α} : Nodup (a ::ₘ s) ↔ a ∉ s ∧ Nodup s := Quot.induction_on s fun _ => List.nodup_cons #align multiset.nodup_cons Multiset.nodup_cons theorem Nodup.cons (m : a ∉ s) (n : Nodup s) : Nodup (a ::ₘ s) := nodup_cons.2 ⟨m, n⟩ #align multiset.nodup.cons Multiset.Nodup.cons @[simp] theorem nodup_singleton : ∀ a : α, Nodup ({a} : Multiset α) := List.nodup_singleton #align multiset.nodup_singleton Multiset.nodup_singleton theorem Nodup.of_cons (h : Nodup (a ::ₘ s)) : Nodup s := (nodup_cons.1 h).2 #align multiset.nodup.of_cons Multiset.Nodup.of_cons theorem Nodup.not_mem (h : Nodup (a ::ₘ s)) : a ∉ s := (nodup_cons.1 h).1 #align multiset.nodup.not_mem Multiset.Nodup.not_mem theorem nodup_of_le {s t : Multiset α} (h : s ≤ t) : Nodup t → Nodup s := Multiset.leInductionOn h fun {_ _} => Nodup.sublist #align multiset.nodup_of_le Multiset.nodup_of_le theorem not_nodup_pair : ∀ a : α, ¬Nodup (a ::ₘ a ::ₘ 0) := List.not_nodup_pair #align multiset.not_nodup_pair Multiset.not_nodup_pair theorem nodup_iff_le {s : Multiset α} : Nodup s ↔ ∀ a : α, ¬a ::ₘ a ::ₘ 0 ≤ s := Quot.induction_on s fun _ => nodup_iff_sublist.trans <| forall_congr' fun a => not_congr (@replicate_le_coe _ a 2 _).symm #align multiset.nodup_iff_le Multiset.nodup_iff_le theorem nodup_iff_ne_cons_cons {s : Multiset α} : s.Nodup ↔ ∀ a t, s ≠ a ::ₘ a ::ₘ t := nodup_iff_le.trans ⟨fun h a t s_eq => h a (s_eq.symm ▸ cons_le_cons a (cons_le_cons a (zero_le _))), fun h a le => let ⟨t, s_eq⟩ := le_iff_exists_add.mp le h a t (by rwa [cons_add, cons_add, zero_add] at s_eq)⟩ #align multiset.nodup_iff_ne_cons_cons Multiset.nodup_iff_ne_cons_cons theorem nodup_iff_count_le_one [DecidableEq α] {s : Multiset α} : Nodup s ↔ ∀ a, count a s ≤ 1 := Quot.induction_on s fun _l => by simp only [quot_mk_to_coe'', coe_nodup, mem_coe, coe_count] exact List.nodup_iff_count_le_one #align multiset.nodup_iff_count_le_one Multiset.nodup_iff_count_le_one theorem nodup_iff_count_eq_one [DecidableEq α] : Nodup s ↔ ∀ a ∈ s, count a s = 1 := Quot.induction_on s fun _l => by simpa using List.nodup_iff_count_eq_one @[simp] theorem count_eq_one_of_mem [DecidableEq α] {a : α} {s : Multiset α} (d : Nodup s) (h : a ∈ s) : count a s = 1 := nodup_iff_count_eq_one.mp d a h #align multiset.count_eq_one_of_mem Multiset.count_eq_one_of_mem
Mathlib/Data/Multiset/Nodup.lean
96
100
theorem count_eq_of_nodup [DecidableEq α] {a : α} {s : Multiset α} (d : Nodup s) : count a s = if a ∈ s then 1 else 0 := by
split_ifs with h · exact count_eq_one_of_mem d h · exact count_eq_zero_of_not_mem h
3
20.085537
1
1
1
819
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
68
72
theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by
haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank]
2
7.389056
1
1
7
820
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank]
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
75
78
theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by
haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank]
2
7.389056
1
1
7
820
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
81
84
theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by
rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h]
1
2.718282
0
1
7
820
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h]
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
86
88
theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by
rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h]
1
2.718282
0
1
7
820
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h] theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h] #align rank_eq_of_surjective rank_eq_of_surjective
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
91
109
theorem exists_linearIndependent_of_lt_rank [StrongRankCondition R] {s : Set M} (hs : LinearIndependent (ι := s) R Subtype.val) : ∃ t, s ⊆ t ∧ #t = Module.rank R M ∧ LinearIndependent (ι := t) R Subtype.val := by
obtain ⟨t, ht, ht'⟩ := exists_set_linearIndependent R (M ⧸ Submodule.span R s) choose sec hsec using Submodule.Quotient.mk_surjective (Submodule.span R s) have hsec' : Submodule.Quotient.mk ∘ sec = id := funext hsec have hst : Disjoint s (sec '' t) := by rw [Set.disjoint_iff] rintro _ ⟨hxs, ⟨x, hxt, rfl⟩⟩ apply ht'.ne_zero ⟨x, hxt⟩ rw [Subtype.coe_mk, ← hsec x, Submodule.Quotient.mk_eq_zero] exact Submodule.subset_span hxs refine ⟨s ∪ sec '' t, subset_union_left, ?_, ?_⟩ · rw [Cardinal.mk_union_of_disjoint hst, Cardinal.mk_image_eq, ht, ← rank_quotient_add_rank (Submodule.span R s), add_comm, rank_span_set hs] exact HasLeftInverse.injective ⟨Submodule.Quotient.mk, hsec⟩ · apply LinearIndependent.union_of_quotient Submodule.subset_span hs rwa [Function.comp, linearIndependent_image (hsec'.symm ▸ injective_id).injOn.image_of_comp, ← image_comp, hsec', image_id]
16
8,886,110.520508
2
1
7
820
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h] theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h] #align rank_eq_of_surjective rank_eq_of_surjective theorem exists_linearIndependent_of_lt_rank [StrongRankCondition R] {s : Set M} (hs : LinearIndependent (ι := s) R Subtype.val) : ∃ t, s ⊆ t ∧ #t = Module.rank R M ∧ LinearIndependent (ι := t) R Subtype.val := by obtain ⟨t, ht, ht'⟩ := exists_set_linearIndependent R (M ⧸ Submodule.span R s) choose sec hsec using Submodule.Quotient.mk_surjective (Submodule.span R s) have hsec' : Submodule.Quotient.mk ∘ sec = id := funext hsec have hst : Disjoint s (sec '' t) := by rw [Set.disjoint_iff] rintro _ ⟨hxs, ⟨x, hxt, rfl⟩⟩ apply ht'.ne_zero ⟨x, hxt⟩ rw [Subtype.coe_mk, ← hsec x, Submodule.Quotient.mk_eq_zero] exact Submodule.subset_span hxs refine ⟨s ∪ sec '' t, subset_union_left, ?_, ?_⟩ · rw [Cardinal.mk_union_of_disjoint hst, Cardinal.mk_image_eq, ht, ← rank_quotient_add_rank (Submodule.span R s), add_comm, rank_span_set hs] exact HasLeftInverse.injective ⟨Submodule.Quotient.mk, hsec⟩ · apply LinearIndependent.union_of_quotient Submodule.subset_span hs rwa [Function.comp, linearIndependent_image (hsec'.symm ▸ injective_id).injOn.image_of_comp, ← image_comp, hsec', image_id]
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
113
123
theorem exists_linearIndependent_cons_of_lt_rank [StrongRankCondition R] {n : ℕ} {v : Fin n → M} (hv : LinearIndependent R v) (h : n < Module.rank R M) : ∃ (x : M), LinearIndependent R (Fin.cons x v) := by
obtain ⟨t, h₁, h₂, h₃⟩ := exists_linearIndependent_of_lt_rank hv.to_subtype_range have : range v ≠ t := by refine fun e ↦ h.ne ?_ rw [← e, ← lift_injective.eq_iff, mk_range_eq_of_injective hv.injective] at h₂ simpa only [mk_fintype, Fintype.card_fin, lift_natCast, lift_id'] using h₂ obtain ⟨x, hx, hx'⟩ := nonempty_of_ssubset (h₁.ssubset_of_ne this) exact ⟨x, (linearIndependent_subtype_range (Fin.cons_injective_iff.mpr ⟨hx', hv.injective⟩)).mp (h₃.mono (Fin.range_cons x v ▸ insert_subset hx h₁))⟩
8
2,980.957987
2
1
7
820
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h] theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h] #align rank_eq_of_surjective rank_eq_of_surjective theorem exists_linearIndependent_of_lt_rank [StrongRankCondition R] {s : Set M} (hs : LinearIndependent (ι := s) R Subtype.val) : ∃ t, s ⊆ t ∧ #t = Module.rank R M ∧ LinearIndependent (ι := t) R Subtype.val := by obtain ⟨t, ht, ht'⟩ := exists_set_linearIndependent R (M ⧸ Submodule.span R s) choose sec hsec using Submodule.Quotient.mk_surjective (Submodule.span R s) have hsec' : Submodule.Quotient.mk ∘ sec = id := funext hsec have hst : Disjoint s (sec '' t) := by rw [Set.disjoint_iff] rintro _ ⟨hxs, ⟨x, hxt, rfl⟩⟩ apply ht'.ne_zero ⟨x, hxt⟩ rw [Subtype.coe_mk, ← hsec x, Submodule.Quotient.mk_eq_zero] exact Submodule.subset_span hxs refine ⟨s ∪ sec '' t, subset_union_left, ?_, ?_⟩ · rw [Cardinal.mk_union_of_disjoint hst, Cardinal.mk_image_eq, ht, ← rank_quotient_add_rank (Submodule.span R s), add_comm, rank_span_set hs] exact HasLeftInverse.injective ⟨Submodule.Quotient.mk, hsec⟩ · apply LinearIndependent.union_of_quotient Submodule.subset_span hs rwa [Function.comp, linearIndependent_image (hsec'.symm ▸ injective_id).injOn.image_of_comp, ← image_comp, hsec', image_id] theorem exists_linearIndependent_cons_of_lt_rank [StrongRankCondition R] {n : ℕ} {v : Fin n → M} (hv : LinearIndependent R v) (h : n < Module.rank R M) : ∃ (x : M), LinearIndependent R (Fin.cons x v) := by obtain ⟨t, h₁, h₂, h₃⟩ := exists_linearIndependent_of_lt_rank hv.to_subtype_range have : range v ≠ t := by refine fun e ↦ h.ne ?_ rw [← e, ← lift_injective.eq_iff, mk_range_eq_of_injective hv.injective] at h₂ simpa only [mk_fintype, Fintype.card_fin, lift_natCast, lift_id'] using h₂ obtain ⟨x, hx, hx'⟩ := nonempty_of_ssubset (h₁.ssubset_of_ne this) exact ⟨x, (linearIndependent_subtype_range (Fin.cons_injective_iff.mpr ⟨hx', hv.injective⟩)).mp (h₃.mono (Fin.range_cons x v ▸ insert_subset hx h₁))⟩
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
127
132
theorem exists_linearIndependent_snoc_of_lt_rank [StrongRankCondition R] {n : ℕ} {v : Fin n → M} (hv : LinearIndependent R v) (h : n < Module.rank R M) : ∃ (x : M), LinearIndependent R (Fin.snoc v x) := by
simp only [Fin.snoc_eq_cons_rotate] have ⟨x, hx⟩ := exists_linearIndependent_cons_of_lt_rank hv h exact ⟨x, hx.comp _ (finRotate _).injective⟩
3
20.085537
1
1
7
820
import Mathlib.CategoryTheory.SingleObj import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Pi.Basic import Mathlib.CategoryTheory.Limits.IsLimit #align_import category_theory.category.Groupoid from "leanprover-community/mathlib"@"c9c9fa15fec7ca18e9ec97306fb8764bfe988a7e" universe v u namespace CategoryTheory -- intended to be used with explicit universe parameters @[nolint checkUnivs] def Grpd := Bundled Groupoid.{v, u} set_option linter.uppercaseLean3 false in #align category_theory.Groupoid CategoryTheory.Grpd namespace Grpd instance : Inhabited Grpd := ⟨Bundled.of (SingleObj PUnit)⟩ instance str' (C : Grpd.{v, u}) : Groupoid.{v, u} C.α := C.str set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.str CategoryTheory.Grpd.str' instance : CoeSort Grpd Type* := Bundled.coeSort def of (C : Type u) [Groupoid.{v} C] : Grpd.{v, u} := Bundled.of C set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.of CategoryTheory.Grpd.of @[simp] theorem coe_of (C : Type u) [Groupoid C] : (of C : Type u) = C := rfl set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.coe_of CategoryTheory.Grpd.coe_of instance category : LargeCategory.{max v u} Grpd.{v, u} where Hom C D := C ⥤ D id C := 𝟭 C comp F G := F ⋙ G id_comp _ := rfl comp_id _ := rfl assoc := by intros; rfl set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.category CategoryTheory.Grpd.category def objects : Grpd.{v, u} ⥤ Type u where obj := Bundled.α map F := F.obj set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.objects CategoryTheory.Grpd.objects def forgetToCat : Grpd.{v, u} ⥤ Cat.{v, u} where obj C := Cat.of C map := id set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.forget_to_Cat CategoryTheory.Grpd.forgetToCat instance forgetToCat_full : forgetToCat.Full where map_surjective f := ⟨f, rfl⟩ set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.forget_to_Cat_full CategoryTheory.Grpd.forgetToCat_full instance forgetToCat_faithful : forgetToCat.Faithful where set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.forget_to_Cat_faithful CategoryTheory.Grpd.forgetToCat_faithful theorem hom_to_functor {C D E : Grpd.{v, u}} (f : C ⟶ D) (g : D ⟶ E) : f ≫ g = f ⋙ g := rfl set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.hom_to_functor CategoryTheory.Grpd.hom_to_functor theorem id_to_functor {C : Grpd.{v, u}} : 𝟭 C = 𝟙 C := rfl set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.id_to_functor CategoryTheory.Grpd.id_to_functor section Products def piLimitFan ⦃J : Type u⦄ (F : J → Grpd.{u, u}) : Limits.Fan F := Limits.Fan.mk (@of (∀ j : J, F j) _) fun j => CategoryTheory.Pi.eval _ j set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.pi_limit_fan CategoryTheory.Grpd.piLimitFan def piLimitFanIsLimit ⦃J : Type u⦄ (F : J → Grpd.{u, u}) : Limits.IsLimit (piLimitFan F) := Limits.mkFanLimit (piLimitFan F) (fun s => Functor.pi' fun j => s.proj j) (by intros dsimp only [piLimitFan] simp [hom_to_functor]) (by intro s m w apply Functor.pi_ext intro j; specialize w j simpa) set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.pi_limit_fan_is_limit CategoryTheory.Grpd.piLimitFanIsLimit instance has_pi : Limits.HasProducts Grpd.{u, u} := Limits.hasProducts_of_limit_fans (by apply piLimitFan) (by apply piLimitFanIsLimit) set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.has_pi CategoryTheory.Grpd.has_pi noncomputable def piIsoPi (J : Type u) (f : J → Grpd.{u, u}) : @of (∀ j, f j) _ ≅ ∏ᶜ f := Limits.IsLimit.conePointUniqueUpToIso (piLimitFanIsLimit f) (Limits.limit.isLimit (Discrete.functor f)) set_option linter.uppercaseLean3 false in #align category_theory.Groupoid.pi_iso_pi CategoryTheory.Grpd.piIsoPi @[simp]
Mathlib/CategoryTheory/Category/Grpd.lean
152
155
theorem piIsoPi_hom_π (J : Type u) (f : J → Grpd.{u, u}) (j : J) : (piIsoPi J f).hom ≫ Limits.Pi.π f j = CategoryTheory.Pi.eval _ j := by
simp [piIsoPi] rfl
2
7.389056
1
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821
import Mathlib.Logic.Function.CompTypeclasses import Mathlib.Algebra.Group.Hom.Defs section MonoidHomCompTriple namespace MonoidHom class CompTriple {M N P : Type*} [Monoid M] [Monoid N] [Monoid P] (φ : M →* N) (ψ : N →* P) (χ : outParam (M →* P)) : Prop where comp_eq : ψ.comp φ = χ attribute [simp] CompTriple.comp_eq namespace CompTriple variable {M' : Type*} [Monoid M'] variable {M N P : Type*} [Monoid M] [Monoid N] [Monoid P] class IsId (σ : M →* M) : Prop where eq_id : σ = MonoidHom.id M instance instIsId {M : Type*} [Monoid M] : IsId (MonoidHom.id M) where eq_id := rfl instance {σ : M →* M} [h : _root_.CompTriple.IsId σ] : IsId σ where eq_id := by ext; exact _root_.congr_fun h.eq_id _ instance instComp_id {N P : Type*} [Monoid N] [Monoid P] {φ : N →* N} [IsId φ] {ψ : N →* P} : CompTriple φ ψ ψ where comp_eq := by simp only [IsId.eq_id, MonoidHom.comp_id] instance instId_comp {M N : Type*} [Monoid M] [Monoid N] {φ : M →* N} {ψ : N →* N} [IsId ψ] : CompTriple φ ψ φ where comp_eq := by simp only [IsId.eq_id, MonoidHom.id_comp] lemma comp_inv {φ : M →* N} {ψ : N →* M} (h : Function.RightInverse φ ψ) {χ : M →* M} [IsId χ] : CompTriple φ ψ χ where comp_eq := by simp only [IsId.eq_id, ← DFunLike.coe_fn_eq, coe_comp, h.id] rfl instance instRootCompTriple {φ : M →* N} {ψ : N →* P} {χ : M →* P} [κ : CompTriple φ ψ χ] : _root_.CompTriple φ ψ χ where comp_eq := by rw [← MonoidHom.coe_comp, κ.comp_eq] theorem comp {φ : M →* N} {ψ : N →* P} : CompTriple φ ψ (ψ.comp φ) where comp_eq := rfl lemma comp_apply {φ : M →* N} {ψ : N →* P} {χ : M →* P} (h : CompTriple φ ψ χ) (x : M) : ψ (φ x) = χ x := by rw [← h.comp_eq, MonoidHom.comp_apply] @[simp]
Mathlib/Algebra/Group/Hom/CompTypeclasses.lean
98
106
theorem comp_assoc {Q : Type*} [Monoid Q] {φ₁ : M →* N} {φ₂ : N →* P} {φ₁₂ : M →* P} (κ : CompTriple φ₁ φ₂ φ₁₂) {φ₃ : P →* Q} {φ₂₃ : N →* Q} (κ' : CompTriple φ₂ φ₃ φ₂₃) {φ₁₂₃ : M →* Q} : CompTriple φ₁ φ₂₃ φ₁₂₃ ↔ CompTriple φ₁₂ φ₃ φ₁₂₃ := by
constructor <;> · rintro ⟨h⟩ exact ⟨by simp only [← κ.comp_eq, ← h, ← κ'.comp_eq, MonoidHom.comp_assoc]⟩
3
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import Mathlib.Algebra.Group.Fin import Mathlib.Algebra.NeZero import Mathlib.Data.Nat.ModEq import Mathlib.Data.Fintype.Card #align_import data.zmod.defs from "leanprover-community/mathlib"@"3a2b5524a138b5d0b818b858b516d4ac8a484b03" def ZMod : ℕ → Type | 0 => ℤ | n + 1 => Fin (n + 1) #align zmod ZMod instance ZMod.decidableEq : ∀ n : ℕ, DecidableEq (ZMod n) | 0 => inferInstanceAs (DecidableEq ℤ) | n + 1 => inferInstanceAs (DecidableEq (Fin (n + 1))) #align zmod.decidable_eq ZMod.decidableEq instance ZMod.repr : ∀ n : ℕ, Repr (ZMod n) | 0 => by dsimp [ZMod]; infer_instance | n + 1 => by dsimp [ZMod]; infer_instance #align zmod.has_repr ZMod.repr namespace ZMod instance instUnique : Unique (ZMod 1) := Fin.uniqueFinOne instance fintype : ∀ (n : ℕ) [NeZero n], Fintype (ZMod n) | 0, h => (h.ne rfl).elim | n + 1, _ => Fin.fintype (n + 1) #align zmod.fintype ZMod.fintype instance infinite : Infinite (ZMod 0) := Int.infinite #align zmod.infinite ZMod.infinite @[simp]
Mathlib/Data/ZMod/Defs.lean
124
127
theorem card (n : ℕ) [Fintype (ZMod n)] : Fintype.card (ZMod n) = n := by
cases n with | zero => exact (not_finite (ZMod 0)).elim | succ n => convert Fintype.card_fin (n + 1) using 2
3
20.085537
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import Mathlib.Algebra.Group.Basic import Mathlib.Logic.Embedding.Basic #align_import algebra.hom.embedding from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered variable {G : Type*} section LeftOrRightCancelSemigroup @[to_additive (attr := simps) "If left-addition by any element is cancellative, left-addition by `g` is an embedding."] def mulLeftEmbedding [Mul G] [IsLeftCancelMul G] (g : G) : G ↪ G where toFun h := g * h inj' := mul_right_injective g #align mul_left_embedding mulLeftEmbedding #align add_left_embedding addLeftEmbedding #align add_left_embedding_apply addLeftEmbedding_apply #align mul_left_embedding_apply mulLeftEmbedding_apply @[to_additive (attr := simps) "If right-addition by any element is cancellative, right-addition by `g` is an embedding."] def mulRightEmbedding [Mul G] [IsRightCancelMul G] (g : G) : G ↪ G where toFun h := h * g inj' := mul_left_injective g #align mul_right_embedding mulRightEmbedding #align add_right_embedding addRightEmbedding #align mul_right_embedding_apply mulRightEmbedding_apply #align add_right_embedding_apply addRightEmbedding_apply @[to_additive]
Mathlib/Algebra/Group/Embedding.lean
49
52
theorem mulLeftEmbedding_eq_mulRightEmbedding [CommSemigroup G] [IsCancelMul G] (g : G) : mulLeftEmbedding g = mulRightEmbedding g := by
ext exact mul_comm _ _
2
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import Mathlib.CategoryTheory.Functor.Hom import Mathlib.CategoryTheory.Products.Basic import Mathlib.Data.ULift #align_import category_theory.yoneda from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace CategoryTheory open Opposite universe v₁ u₁ u₂ -- morphism levels before object levels. See note [CategoryTheory universes]. variable {C : Type u₁} [Category.{v₁} C] @[simps] def yoneda : C ⥤ Cᵒᵖ ⥤ Type v₁ where obj X := { obj := fun Y => unop Y ⟶ X map := fun f g => f.unop ≫ g } map f := { app := fun Y g => g ≫ f } #align category_theory.yoneda CategoryTheory.yoneda @[simps] def coyoneda : Cᵒᵖ ⥤ C ⥤ Type v₁ where obj X := { obj := fun Y => unop X ⟶ Y map := fun f g => g ≫ f } map f := { app := fun Y g => f.unop ≫ g } #align category_theory.coyoneda CategoryTheory.coyoneda namespace Yoneda
Mathlib/CategoryTheory/Yoneda.lean
59
62
theorem obj_map_id {X Y : C} (f : op X ⟶ op Y) : (yoneda.obj X).map f (𝟙 X) = (yoneda.map f.unop).app (op Y) (𝟙 Y) := by
dsimp simp
2
7.389056
1
1
3
825
import Mathlib.CategoryTheory.Functor.Hom import Mathlib.CategoryTheory.Products.Basic import Mathlib.Data.ULift #align_import category_theory.yoneda from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace CategoryTheory open Opposite universe v₁ u₁ u₂ -- morphism levels before object levels. See note [CategoryTheory universes]. variable {C : Type u₁} [Category.{v₁} C] @[simps] def yoneda : C ⥤ Cᵒᵖ ⥤ Type v₁ where obj X := { obj := fun Y => unop Y ⟶ X map := fun f g => f.unop ≫ g } map f := { app := fun Y g => g ≫ f } #align category_theory.yoneda CategoryTheory.yoneda @[simps] def coyoneda : Cᵒᵖ ⥤ C ⥤ Type v₁ where obj X := { obj := fun Y => unop X ⟶ Y map := fun f g => g ≫ f } map f := { app := fun Y g => f.unop ≫ g } #align category_theory.coyoneda CategoryTheory.coyoneda namespace Functor class Representable (F : Cᵒᵖ ⥤ Type v₁) : Prop where has_representation : ∃ (X : _), Nonempty (yoneda.obj X ≅ F) #align category_theory.functor.representable CategoryTheory.Functor.Representable instance {X : C} : Representable (yoneda.obj X) where has_representation := ⟨X, ⟨Iso.refl _⟩⟩ class Corepresentable (F : C ⥤ Type v₁) : Prop where has_corepresentation : ∃ (X : _), Nonempty (coyoneda.obj X ≅ F) #align category_theory.functor.corepresentable CategoryTheory.Functor.Corepresentable instance {X : Cᵒᵖ} : Corepresentable (coyoneda.obj X) where has_corepresentation := ⟨X, ⟨Iso.refl _⟩⟩ -- instance : corepresentable (𝟭 (Type v₁)) := -- corepresentable_of_nat_iso (op punit) coyoneda.punit_iso section Representable variable (F : Cᵒᵖ ⥤ Type v₁) variable [hF : F.Representable] noncomputable def reprX : C := hF.has_representation.choose set_option linter.uppercaseLean3 false #align category_theory.functor.repr_X CategoryTheory.Functor.reprX noncomputable def reprW : yoneda.obj F.reprX ≅ F := Representable.has_representation.choose_spec.some #align category_theory.functor.repr_f CategoryTheory.Functor.reprW noncomputable def reprx : F.obj (op F.reprX) := F.reprW.hom.app (op F.reprX) (𝟙 F.reprX) #align category_theory.functor.repr_x CategoryTheory.Functor.reprx
Mathlib/CategoryTheory/Yoneda.lean
221
224
theorem reprW_app_hom (X : Cᵒᵖ) (f : unop X ⟶ F.reprX) : (F.reprW.app X).hom f = F.map f.op F.reprx := by
simp only [yoneda_obj_obj, Iso.app_hom, op_unop, reprx, ← FunctorToTypes.naturality, yoneda_obj_map, unop_op, Quiver.Hom.unop_op, Category.comp_id]
2
7.389056
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import Mathlib.CategoryTheory.Functor.Hom import Mathlib.CategoryTheory.Products.Basic import Mathlib.Data.ULift #align_import category_theory.yoneda from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace CategoryTheory open Opposite universe v₁ u₁ u₂ -- morphism levels before object levels. See note [CategoryTheory universes]. variable {C : Type u₁} [Category.{v₁} C] @[simps] def yoneda : C ⥤ Cᵒᵖ ⥤ Type v₁ where obj X := { obj := fun Y => unop Y ⟶ X map := fun f g => f.unop ≫ g } map f := { app := fun Y g => g ≫ f } #align category_theory.yoneda CategoryTheory.yoneda @[simps] def coyoneda : Cᵒᵖ ⥤ C ⥤ Type v₁ where obj X := { obj := fun Y => unop X ⟶ Y map := fun f g => g ≫ f } map f := { app := fun Y g => f.unop ≫ g } #align category_theory.coyoneda CategoryTheory.coyoneda namespace Functor class Representable (F : Cᵒᵖ ⥤ Type v₁) : Prop where has_representation : ∃ (X : _), Nonempty (yoneda.obj X ≅ F) #align category_theory.functor.representable CategoryTheory.Functor.Representable instance {X : C} : Representable (yoneda.obj X) where has_representation := ⟨X, ⟨Iso.refl _⟩⟩ class Corepresentable (F : C ⥤ Type v₁) : Prop where has_corepresentation : ∃ (X : _), Nonempty (coyoneda.obj X ≅ F) #align category_theory.functor.corepresentable CategoryTheory.Functor.Corepresentable instance {X : Cᵒᵖ} : Corepresentable (coyoneda.obj X) where has_corepresentation := ⟨X, ⟨Iso.refl _⟩⟩ -- instance : corepresentable (𝟭 (Type v₁)) := -- corepresentable_of_nat_iso (op punit) coyoneda.punit_iso section Corepresentable variable (F : C ⥤ Type v₁) variable [hF : F.Corepresentable] noncomputable def coreprX : C := hF.has_corepresentation.choose.unop set_option linter.uppercaseLean3 false #align category_theory.functor.corepr_X CategoryTheory.Functor.coreprX noncomputable def coreprW : coyoneda.obj (op F.coreprX) ≅ F := hF.has_corepresentation.choose_spec.some #align category_theory.functor.corepr_f CategoryTheory.Functor.coreprW noncomputable def coreprx : F.obj F.coreprX := F.coreprW.hom.app F.coreprX (𝟙 F.coreprX) #align category_theory.functor.corepr_x CategoryTheory.Functor.coreprx
Mathlib/CategoryTheory/Yoneda.lean
255
258
theorem coreprW_app_hom (X : C) (f : F.coreprX ⟶ X) : (F.coreprW.app X).hom f = F.map f F.coreprx := by
simp only [coyoneda_obj_obj, unop_op, Iso.app_hom, coreprx, ← FunctorToTypes.naturality, coyoneda_obj_map, Category.id_comp]
2
7.389056
1
1
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import Mathlib.Logic.Equiv.Fin import Mathlib.Topology.DenseEmbedding import Mathlib.Topology.Support import Mathlib.Topology.Connected.LocallyConnected #align_import topology.homeomorph from "leanprover-community/mathlib"@"4c3e1721c58ef9087bbc2c8c38b540f70eda2e53" open Set Filter open Topology variable {X : Type*} {Y : Type*} {Z : Type*} -- not all spaces are homeomorphic to each other structure Homeomorph (X : Type*) (Y : Type*) [TopologicalSpace X] [TopologicalSpace Y] extends X ≃ Y where continuous_toFun : Continuous toFun := by continuity continuous_invFun : Continuous invFun := by continuity #align homeomorph Homeomorph @[inherit_doc] infixl:25 " ≃ₜ " => Homeomorph namespace Homeomorph variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] {X' Y' : Type*} [TopologicalSpace X'] [TopologicalSpace Y'] theorem toEquiv_injective : Function.Injective (toEquiv : X ≃ₜ Y → X ≃ Y) | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl #align homeomorph.to_equiv_injective Homeomorph.toEquiv_injective instance : EquivLike (X ≃ₜ Y) X Y where coe := fun h => h.toEquiv inv := fun h => h.toEquiv.symm left_inv := fun h => h.left_inv right_inv := fun h => h.right_inv coe_injective' := fun _ _ H _ => toEquiv_injective <| DFunLike.ext' H instance : CoeFun (X ≃ₜ Y) fun _ ↦ X → Y := ⟨DFunLike.coe⟩ @[simp] theorem homeomorph_mk_coe (a : X ≃ Y) (b c) : (Homeomorph.mk a b c : X → Y) = a := rfl #align homeomorph.homeomorph_mk_coe Homeomorph.homeomorph_mk_coe protected def empty [IsEmpty X] [IsEmpty Y] : X ≃ₜ Y where __ := Equiv.equivOfIsEmpty X Y @[symm] protected def symm (h : X ≃ₜ Y) : Y ≃ₜ X where continuous_toFun := h.continuous_invFun continuous_invFun := h.continuous_toFun toEquiv := h.toEquiv.symm #align homeomorph.symm Homeomorph.symm @[simp] theorem symm_symm (h : X ≃ₜ Y) : h.symm.symm = h := rfl #align homeomorph.symm_symm Homeomorph.symm_symm theorem symm_bijective : Function.Bijective (Homeomorph.symm : (X ≃ₜ Y) → Y ≃ₜ X) := Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩ def Simps.symm_apply (h : X ≃ₜ Y) : Y → X := h.symm #align homeomorph.simps.symm_apply Homeomorph.Simps.symm_apply initialize_simps_projections Homeomorph (toFun → apply, invFun → symm_apply) @[simp] theorem coe_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv = h := rfl #align homeomorph.coe_to_equiv Homeomorph.coe_toEquiv @[simp] theorem coe_symm_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv.symm = h.symm := rfl #align homeomorph.coe_symm_to_equiv Homeomorph.coe_symm_toEquiv @[ext] theorem ext {h h' : X ≃ₜ Y} (H : ∀ x, h x = h' x) : h = h' := DFunLike.ext _ _ H #align homeomorph.ext Homeomorph.ext @[simps! (config := .asFn) apply] protected def refl (X : Type*) [TopologicalSpace X] : X ≃ₜ X where continuous_toFun := continuous_id continuous_invFun := continuous_id toEquiv := Equiv.refl X #align homeomorph.refl Homeomorph.refl @[trans] protected def trans (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) : X ≃ₜ Z where continuous_toFun := h₂.continuous_toFun.comp h₁.continuous_toFun continuous_invFun := h₁.continuous_invFun.comp h₂.continuous_invFun toEquiv := Equiv.trans h₁.toEquiv h₂.toEquiv #align homeomorph.trans Homeomorph.trans @[simp] theorem trans_apply (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) (x : X) : h₁.trans h₂ x = h₂ (h₁ x) := rfl #align homeomorph.trans_apply Homeomorph.trans_apply @[simp] theorem symm_trans_apply (f : X ≃ₜ Y) (g : Y ≃ₜ Z) (z : Z) : (f.trans g).symm z = f.symm (g.symm z) := rfl @[simp] theorem homeomorph_mk_coe_symm (a : X ≃ Y) (b c) : ((Homeomorph.mk a b c).symm : Y → X) = a.symm := rfl #align homeomorph.homeomorph_mk_coe_symm Homeomorph.homeomorph_mk_coe_symm @[simp] theorem refl_symm : (Homeomorph.refl X).symm = Homeomorph.refl X := rfl #align homeomorph.refl_symm Homeomorph.refl_symm @[continuity] protected theorem continuous (h : X ≃ₜ Y) : Continuous h := h.continuous_toFun #align homeomorph.continuous Homeomorph.continuous -- otherwise `by continuity` can't prove continuity of `h.to_equiv.symm` @[continuity] protected theorem continuous_symm (h : X ≃ₜ Y) : Continuous h.symm := h.continuous_invFun #align homeomorph.continuous_symm Homeomorph.continuous_symm @[simp] theorem apply_symm_apply (h : X ≃ₜ Y) (y : Y) : h (h.symm y) = y := h.toEquiv.apply_symm_apply y #align homeomorph.apply_symm_apply Homeomorph.apply_symm_apply @[simp] theorem symm_apply_apply (h : X ≃ₜ Y) (x : X) : h.symm (h x) = x := h.toEquiv.symm_apply_apply x #align homeomorph.symm_apply_apply Homeomorph.symm_apply_apply @[simp]
Mathlib/Topology/Homeomorph.lean
171
173
theorem self_trans_symm (h : X ≃ₜ Y) : h.trans h.symm = Homeomorph.refl X := by
ext apply symm_apply_apply
2
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import Mathlib.Logic.Equiv.Fin import Mathlib.Topology.DenseEmbedding import Mathlib.Topology.Support import Mathlib.Topology.Connected.LocallyConnected #align_import topology.homeomorph from "leanprover-community/mathlib"@"4c3e1721c58ef9087bbc2c8c38b540f70eda2e53" open Set Filter open Topology variable {X : Type*} {Y : Type*} {Z : Type*} -- not all spaces are homeomorphic to each other structure Homeomorph (X : Type*) (Y : Type*) [TopologicalSpace X] [TopologicalSpace Y] extends X ≃ Y where continuous_toFun : Continuous toFun := by continuity continuous_invFun : Continuous invFun := by continuity #align homeomorph Homeomorph @[inherit_doc] infixl:25 " ≃ₜ " => Homeomorph namespace Homeomorph variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] {X' Y' : Type*} [TopologicalSpace X'] [TopologicalSpace Y'] theorem toEquiv_injective : Function.Injective (toEquiv : X ≃ₜ Y → X ≃ Y) | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl #align homeomorph.to_equiv_injective Homeomorph.toEquiv_injective instance : EquivLike (X ≃ₜ Y) X Y where coe := fun h => h.toEquiv inv := fun h => h.toEquiv.symm left_inv := fun h => h.left_inv right_inv := fun h => h.right_inv coe_injective' := fun _ _ H _ => toEquiv_injective <| DFunLike.ext' H instance : CoeFun (X ≃ₜ Y) fun _ ↦ X → Y := ⟨DFunLike.coe⟩ @[simp] theorem homeomorph_mk_coe (a : X ≃ Y) (b c) : (Homeomorph.mk a b c : X → Y) = a := rfl #align homeomorph.homeomorph_mk_coe Homeomorph.homeomorph_mk_coe protected def empty [IsEmpty X] [IsEmpty Y] : X ≃ₜ Y where __ := Equiv.equivOfIsEmpty X Y @[symm] protected def symm (h : X ≃ₜ Y) : Y ≃ₜ X where continuous_toFun := h.continuous_invFun continuous_invFun := h.continuous_toFun toEquiv := h.toEquiv.symm #align homeomorph.symm Homeomorph.symm @[simp] theorem symm_symm (h : X ≃ₜ Y) : h.symm.symm = h := rfl #align homeomorph.symm_symm Homeomorph.symm_symm theorem symm_bijective : Function.Bijective (Homeomorph.symm : (X ≃ₜ Y) → Y ≃ₜ X) := Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩ def Simps.symm_apply (h : X ≃ₜ Y) : Y → X := h.symm #align homeomorph.simps.symm_apply Homeomorph.Simps.symm_apply initialize_simps_projections Homeomorph (toFun → apply, invFun → symm_apply) @[simp] theorem coe_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv = h := rfl #align homeomorph.coe_to_equiv Homeomorph.coe_toEquiv @[simp] theorem coe_symm_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv.symm = h.symm := rfl #align homeomorph.coe_symm_to_equiv Homeomorph.coe_symm_toEquiv @[ext] theorem ext {h h' : X ≃ₜ Y} (H : ∀ x, h x = h' x) : h = h' := DFunLike.ext _ _ H #align homeomorph.ext Homeomorph.ext @[simps! (config := .asFn) apply] protected def refl (X : Type*) [TopologicalSpace X] : X ≃ₜ X where continuous_toFun := continuous_id continuous_invFun := continuous_id toEquiv := Equiv.refl X #align homeomorph.refl Homeomorph.refl @[trans] protected def trans (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) : X ≃ₜ Z where continuous_toFun := h₂.continuous_toFun.comp h₁.continuous_toFun continuous_invFun := h₁.continuous_invFun.comp h₂.continuous_invFun toEquiv := Equiv.trans h₁.toEquiv h₂.toEquiv #align homeomorph.trans Homeomorph.trans @[simp] theorem trans_apply (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) (x : X) : h₁.trans h₂ x = h₂ (h₁ x) := rfl #align homeomorph.trans_apply Homeomorph.trans_apply @[simp] theorem symm_trans_apply (f : X ≃ₜ Y) (g : Y ≃ₜ Z) (z : Z) : (f.trans g).symm z = f.symm (g.symm z) := rfl @[simp] theorem homeomorph_mk_coe_symm (a : X ≃ Y) (b c) : ((Homeomorph.mk a b c).symm : Y → X) = a.symm := rfl #align homeomorph.homeomorph_mk_coe_symm Homeomorph.homeomorph_mk_coe_symm @[simp] theorem refl_symm : (Homeomorph.refl X).symm = Homeomorph.refl X := rfl #align homeomorph.refl_symm Homeomorph.refl_symm @[continuity] protected theorem continuous (h : X ≃ₜ Y) : Continuous h := h.continuous_toFun #align homeomorph.continuous Homeomorph.continuous -- otherwise `by continuity` can't prove continuity of `h.to_equiv.symm` @[continuity] protected theorem continuous_symm (h : X ≃ₜ Y) : Continuous h.symm := h.continuous_invFun #align homeomorph.continuous_symm Homeomorph.continuous_symm @[simp] theorem apply_symm_apply (h : X ≃ₜ Y) (y : Y) : h (h.symm y) = y := h.toEquiv.apply_symm_apply y #align homeomorph.apply_symm_apply Homeomorph.apply_symm_apply @[simp] theorem symm_apply_apply (h : X ≃ₜ Y) (x : X) : h.symm (h x) = x := h.toEquiv.symm_apply_apply x #align homeomorph.symm_apply_apply Homeomorph.symm_apply_apply @[simp] theorem self_trans_symm (h : X ≃ₜ Y) : h.trans h.symm = Homeomorph.refl X := by ext apply symm_apply_apply #align homeomorph.self_trans_symm Homeomorph.self_trans_symm @[simp]
Mathlib/Topology/Homeomorph.lean
177
179
theorem symm_trans_self (h : X ≃ₜ Y) : h.symm.trans h = Homeomorph.refl Y := by
ext apply apply_symm_apply
2
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import Mathlib.Algebra.Order.GroupWithZero.Synonym import Mathlib.Algebra.Order.Monoid.WithTop import Mathlib.Algebra.Order.Ring.Canonical import Mathlib.Algebra.Ring.Hom.Defs #align_import algebra.order.ring.with_top from "leanprover-community/mathlib"@"0111834459f5d7400215223ea95ae38a1265a907" variable {α : Type*} namespace WithTop variable [DecidableEq α] section MulZeroClass variable [MulZeroClass α] {a b : WithTop α} instance instMulZeroClass : MulZeroClass (WithTop α) where zero := 0 mul a b := match a, b with | (a : α), (b : α) => ↑(a * b) | (a : α), ⊤ => if a = 0 then 0 else ⊤ | ⊤, (b : α) => if b = 0 then 0 else ⊤ | ⊤, ⊤ => ⊤ mul_zero a := match a with | (a : α) => congr_arg some $ mul_zero _ | ⊤ => if_pos rfl zero_mul b := match b with | (b : α) => congr_arg some $ zero_mul _ | ⊤ => if_pos rfl @[simp, norm_cast] lemma coe_mul (a b : α) : (↑(a * b) : WithTop α) = a * b := rfl #align with_top.coe_mul WithTop.coe_mul lemma mul_top' : ∀ (a : WithTop α), a * ⊤ = if a = 0 then 0 else ⊤ | (a : α) => if_congr coe_eq_zero.symm rfl rfl | ⊤ => (if_neg top_ne_zero).symm #align with_top.mul_top' WithTop.mul_top' @[simp] lemma mul_top (h : a ≠ 0) : a * ⊤ = ⊤ := by rw [mul_top', if_neg h] #align with_top.mul_top WithTop.mul_top lemma top_mul' : ∀ (b : WithTop α), ⊤ * b = if b = 0 then 0 else ⊤ | (b : α) => if_congr coe_eq_zero.symm rfl rfl | ⊤ => (if_neg top_ne_zero).symm #align with_top.top_mul' WithTop.top_mul' @[simp] lemma top_mul (hb : b ≠ 0) : ⊤ * b = ⊤ := by rw [top_mul', if_neg hb] #align with_top.top_mul WithTop.top_mul -- eligible for dsimp @[simp, nolint simpNF] lemma top_mul_top : (⊤ * ⊤ : WithTop α) = ⊤ := rfl #align with_top.top_mul_top WithTop.top_mul_top lemma mul_def (a b : WithTop α) : a * b = if a = 0 ∨ b = 0 then 0 else WithTop.map₂ (· * ·) a b := by cases a <;> cases b <;> aesop #align with_top.mul_def WithTop.mul_def lemma mul_eq_top_iff : a * b = ⊤ ↔ a ≠ 0 ∧ b = ⊤ ∨ a = ⊤ ∧ b ≠ 0 := by rw [mul_def]; aesop #align with_top.mul_eq_top_iff WithTop.mul_eq_top_iff lemma mul_coe_eq_bind {b : α} (hb : b ≠ 0) : ∀ a, (a * b : WithTop α) = a.bind fun a ↦ ↑(a * b) | ⊤ => by simp [top_mul, hb]; rfl | (a : α) => rfl #align with_top.mul_coe WithTop.mul_coe_eq_bind lemma coe_mul_eq_bind {a : α} (ha : a ≠ 0) : ∀ b, (a * b : WithTop α) = b.bind fun b ↦ ↑(a * b) | ⊤ => by simp [top_mul, ha]; rfl | (b : α) => rfl @[simp] lemma untop'_zero_mul (a b : WithTop α) : (a * b).untop' 0 = a.untop' 0 * b.untop' 0 := by by_cases ha : a = 0; · rw [ha, zero_mul, ← coe_zero, untop'_coe, zero_mul] by_cases hb : b = 0; · rw [hb, mul_zero, ← coe_zero, untop'_coe, mul_zero] induction a; · rw [top_mul hb, untop'_top, zero_mul] induction b; · rw [mul_top ha, untop'_top, mul_zero] rw [← coe_mul, untop'_coe, untop'_coe, untop'_coe] #align with_top.untop'_zero_mul WithTop.untop'_zero_mul
Mathlib/Algebra/Order/Ring/WithTop.lean
89
91
theorem mul_lt_top' [LT α] {a b : WithTop α} (ha : a < ⊤) (hb : b < ⊤) : a * b < ⊤ := by
rw [WithTop.lt_top_iff_ne_top] at * simp only [Ne, mul_eq_top_iff, *, and_false, false_and, or_self, not_false_eq_true]
2
7.389056
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import Mathlib.Data.ZMod.Basic import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.PrincipalIdealDomain #align_import data.zmod.coprime from "leanprover-community/mathlib"@"4b4975cf92a1ffe2ddfeff6ff91b0c46a9162bf5" namespace ZMod
Mathlib/Data/ZMod/Coprime.lean
24
28
theorem eq_zero_iff_gcd_ne_one {a : ℤ} {p : ℕ} [pp : Fact p.Prime] : (a : ZMod p) = 0 ↔ a.gcd p ≠ 1 := by
rw [Ne, Int.gcd_comm, Int.gcd_eq_one_iff_coprime, (Nat.prime_iff_prime_int.1 pp.1).coprime_iff_not_dvd, Classical.not_not, intCast_zmod_eq_zero_iff_dvd]
3
20.085537
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import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem Monotone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sSup (f '' A) := --This is a particular case of the more general `IsLUB.isLUB_of_tendsto` .symm <| ((isLUB_csSup A_nonemp A_bdd).isLUB_of_tendsto (Mf.monotoneOn _) A_nonemp <| Cf.mono_left inf_le_left).csSup_eq (A_nonemp.image f) #align monotone.map_Sup_of_continuous_at' Monotone.map_sSup_of_continuousAt'
Mathlib/Topology/Order/Monotone.lean
41
45
theorem Monotone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Mf : Monotone f) (bdd : BddAbove (range g) := by
bddDefault) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Monotone.map_sSup_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iSup] rfl
3
20.085537
1
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7
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import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem Monotone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sSup (f '' A) := --This is a particular case of the more general `IsLUB.isLUB_of_tendsto` .symm <| ((isLUB_csSup A_nonemp A_bdd).isLUB_of_tendsto (Mf.monotoneOn _) A_nonemp <| Cf.mono_left inf_le_left).csSup_eq (A_nonemp.image f) #align monotone.map_Sup_of_continuous_at' Monotone.map_sSup_of_continuousAt' theorem Monotone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Mf : Monotone f) (bdd : BddAbove (range g) := by bddDefault) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Monotone.map_sSup_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iSup] rfl #align monotone.map_supr_of_continuous_at' Monotone.map_iSup_of_continuousAt' theorem Monotone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sInf (f '' A) := Monotone.map_sSup_of_continuousAt' (α := αᵒᵈ) (β := βᵒᵈ) Cf Mf.dual A_nonemp A_bdd #align monotone.map_Inf_of_continuous_at' Monotone.map_sInf_of_continuousAt'
Mathlib/Topology/Order/Monotone.lean
58
62
theorem Monotone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Mf : Monotone f) (bdd : BddBelow (range g) := by
bddDefault) : f (⨅ i, g i) = ⨅ i, f (g i) := by rw [iInf, Monotone.map_sInf_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iInf] rfl
3
20.085537
1
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import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem Monotone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sSup (f '' A) := --This is a particular case of the more general `IsLUB.isLUB_of_tendsto` .symm <| ((isLUB_csSup A_nonemp A_bdd).isLUB_of_tendsto (Mf.monotoneOn _) A_nonemp <| Cf.mono_left inf_le_left).csSup_eq (A_nonemp.image f) #align monotone.map_Sup_of_continuous_at' Monotone.map_sSup_of_continuousAt' theorem Monotone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Mf : Monotone f) (bdd : BddAbove (range g) := by bddDefault) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Monotone.map_sSup_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iSup] rfl #align monotone.map_supr_of_continuous_at' Monotone.map_iSup_of_continuousAt' theorem Monotone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sInf (f '' A) := Monotone.map_sSup_of_continuousAt' (α := αᵒᵈ) (β := βᵒᵈ) Cf Mf.dual A_nonemp A_bdd #align monotone.map_Inf_of_continuous_at' Monotone.map_sInf_of_continuousAt' theorem Monotone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Mf : Monotone f) (bdd : BddBelow (range g) := by bddDefault) : f (⨅ i, g i) = ⨅ i, f (g i) := by rw [iInf, Monotone.map_sInf_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iInf] rfl #align monotone.map_infi_of_continuous_at' Monotone.map_iInf_of_continuousAt' theorem Antitone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Af : Antitone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sSup (f '' A) := Monotone.map_sInf_of_continuousAt' (β := βᵒᵈ) Cf Af.dual_right A_nonemp A_bdd #align antitone.map_Inf_of_continuous_at' Antitone.map_sInf_of_continuousAt'
Mathlib/Topology/Order/Monotone.lean
75
79
theorem Antitone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Af : Antitone f) (bdd : BddBelow (range g) := by
bddDefault) : f (⨅ i, g i) = ⨆ i, f (g i) := by rw [iInf, Antitone.map_sInf_of_continuousAt' Cf Af (range_nonempty g) bdd, ← range_comp, iSup] rfl
3
20.085537
1
1
7
829
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem Monotone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sSup (f '' A) := --This is a particular case of the more general `IsLUB.isLUB_of_tendsto` .symm <| ((isLUB_csSup A_nonemp A_bdd).isLUB_of_tendsto (Mf.monotoneOn _) A_nonemp <| Cf.mono_left inf_le_left).csSup_eq (A_nonemp.image f) #align monotone.map_Sup_of_continuous_at' Monotone.map_sSup_of_continuousAt' theorem Monotone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Mf : Monotone f) (bdd : BddAbove (range g) := by bddDefault) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Monotone.map_sSup_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iSup] rfl #align monotone.map_supr_of_continuous_at' Monotone.map_iSup_of_continuousAt' theorem Monotone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sInf (f '' A) := Monotone.map_sSup_of_continuousAt' (α := αᵒᵈ) (β := βᵒᵈ) Cf Mf.dual A_nonemp A_bdd #align monotone.map_Inf_of_continuous_at' Monotone.map_sInf_of_continuousAt' theorem Monotone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Mf : Monotone f) (bdd : BddBelow (range g) := by bddDefault) : f (⨅ i, g i) = ⨅ i, f (g i) := by rw [iInf, Monotone.map_sInf_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iInf] rfl #align monotone.map_infi_of_continuous_at' Monotone.map_iInf_of_continuousAt' theorem Antitone.map_sInf_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sInf A)) (Af : Antitone f) (A_nonemp : A.Nonempty) (A_bdd : BddBelow A := by bddDefault) : f (sInf A) = sSup (f '' A) := Monotone.map_sInf_of_continuousAt' (β := βᵒᵈ) Cf Af.dual_right A_nonemp A_bdd #align antitone.map_Inf_of_continuous_at' Antitone.map_sInf_of_continuousAt' theorem Antitone.map_iInf_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iInf g)) (Af : Antitone f) (bdd : BddBelow (range g) := by bddDefault) : f (⨅ i, g i) = ⨆ i, f (g i) := by rw [iInf, Antitone.map_sInf_of_continuousAt' Cf Af (range_nonempty g) bdd, ← range_comp, iSup] rfl #align antitone.map_infi_of_continuous_at' Antitone.map_iInf_of_continuousAt' theorem Antitone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Af : Antitone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sInf (f '' A) := Monotone.map_sSup_of_continuousAt' (β := βᵒᵈ) Cf Af.dual_right A_nonemp A_bdd #align antitone.map_Sup_of_continuous_at' Antitone.map_sSup_of_continuousAt'
Mathlib/Topology/Order/Monotone.lean
92
96
theorem Antitone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Af : Antitone f) (bdd : BddAbove (range g) := by
bddDefault) : f (⨆ i, g i) = ⨅ i, f (g i) := by rw [iSup, Antitone.map_sSup_of_continuousAt' Cf Af (range_nonempty g) bdd, ← range_comp, iInf] rfl
3
20.085537
1
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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
Mathlib/Topology/Order/Monotone.lean
221
225
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
3
20.085537
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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
Mathlib/Topology/Order/Monotone.lean
230
232
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
1
2.718282
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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)
8
2,980.957987
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import Mathlib.Order.Filter.Partial import Mathlib.Topology.Basic #align_import topology.partial from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Filter open Topology variable {X Y : Type*} [TopologicalSpace X] theorem rtendsto_nhds {r : Rel Y X} {l : Filter Y} {x : X} : RTendsto r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.core s ∈ l := all_mem_nhds_filter _ _ (fun _s _t => id) _ #align rtendsto_nhds rtendsto_nhds
Mathlib/Topology/Partial.lean
30
34
theorem rtendsto'_nhds {r : Rel Y X} {l : Filter Y} {x : X} : RTendsto' r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.preimage s ∈ l := by
rw [rtendsto'_def] apply all_mem_nhds_filter apply Rel.preimage_mono
3
20.085537
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830
import Mathlib.Order.Filter.Partial import Mathlib.Topology.Basic #align_import topology.partial from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Filter open Topology variable {X Y : Type*} [TopologicalSpace X] theorem rtendsto_nhds {r : Rel Y X} {l : Filter Y} {x : X} : RTendsto r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.core s ∈ l := all_mem_nhds_filter _ _ (fun _s _t => id) _ #align rtendsto_nhds rtendsto_nhds theorem rtendsto'_nhds {r : Rel Y X} {l : Filter Y} {x : X} : RTendsto' r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.preimage s ∈ l := by rw [rtendsto'_def] apply all_mem_nhds_filter apply Rel.preimage_mono #align rtendsto'_nhds rtendsto'_nhds theorem ptendsto_nhds {f : Y →. X} {l : Filter Y} {x : X} : PTendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f.core s ∈ l := rtendsto_nhds #align ptendsto_nhds ptendsto_nhds theorem ptendsto'_nhds {f : Y →. X} {l : Filter Y} {x : X} : PTendsto' f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f.preimage s ∈ l := rtendsto'_nhds #align ptendsto'_nhds ptendsto'_nhds variable [TopologicalSpace Y] def PContinuous (f : X →. Y) := ∀ s, IsOpen s → IsOpen (f.preimage s) #align pcontinuous PContinuous
Mathlib/Topology/Partial.lean
57
58
theorem open_dom_of_pcontinuous {f : X →. Y} (h : PContinuous f) : IsOpen f.Dom := by
rw [← PFun.preimage_univ]; exact h _ isOpen_univ
1
2.718282
0
1
3
830
import Mathlib.Order.Filter.Partial import Mathlib.Topology.Basic #align_import topology.partial from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Filter open Topology variable {X Y : Type*} [TopologicalSpace X] theorem rtendsto_nhds {r : Rel Y X} {l : Filter Y} {x : X} : RTendsto r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.core s ∈ l := all_mem_nhds_filter _ _ (fun _s _t => id) _ #align rtendsto_nhds rtendsto_nhds theorem rtendsto'_nhds {r : Rel Y X} {l : Filter Y} {x : X} : RTendsto' r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.preimage s ∈ l := by rw [rtendsto'_def] apply all_mem_nhds_filter apply Rel.preimage_mono #align rtendsto'_nhds rtendsto'_nhds theorem ptendsto_nhds {f : Y →. X} {l : Filter Y} {x : X} : PTendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f.core s ∈ l := rtendsto_nhds #align ptendsto_nhds ptendsto_nhds theorem ptendsto'_nhds {f : Y →. X} {l : Filter Y} {x : X} : PTendsto' f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f.preimage s ∈ l := rtendsto'_nhds #align ptendsto'_nhds ptendsto'_nhds variable [TopologicalSpace Y] def PContinuous (f : X →. Y) := ∀ s, IsOpen s → IsOpen (f.preimage s) #align pcontinuous PContinuous theorem open_dom_of_pcontinuous {f : X →. Y} (h : PContinuous f) : IsOpen f.Dom := by rw [← PFun.preimage_univ]; exact h _ isOpen_univ #align open_dom_of_pcontinuous open_dom_of_pcontinuous
Mathlib/Topology/Partial.lean
61
83
theorem pcontinuous_iff' {f : X →. Y} : PContinuous f ↔ ∀ {x y} (h : y ∈ f x), PTendsto' f (𝓝 x) (𝓝 y) := by
constructor · intro h x y h' simp only [ptendsto'_def, mem_nhds_iff] rintro s ⟨t, tsubs, opent, yt⟩ exact ⟨f.preimage t, PFun.preimage_mono _ tsubs, h _ opent, ⟨y, yt, h'⟩⟩ intro hf s os rw [isOpen_iff_nhds] rintro x ⟨y, ys, fxy⟩ t rw [mem_principal] intro (h : f.preimage s ⊆ t) change t ∈ 𝓝 x apply mem_of_superset _ h have h' : ∀ s ∈ 𝓝 y, f.preimage s ∈ 𝓝 x := by intro s hs have : PTendsto' f (𝓝 x) (𝓝 y) := hf fxy rw [ptendsto'_def] at this exact this s hs show f.preimage s ∈ 𝓝 x apply h' rw [mem_nhds_iff] exact ⟨s, Set.Subset.refl _, os, ys⟩
21
1,318,815,734.483215
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import Mathlib.CategoryTheory.Limits.KanExtension import Mathlib.Topology.Category.TopCat.Opens import Mathlib.CategoryTheory.Adjunction.Unique import Mathlib.Topology.Sheaves.Init import Mathlib.Data.Set.Subsingleton #align_import topology.sheaves.presheaf from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8" set_option autoImplicit true universe w v u open CategoryTheory TopologicalSpace Opposite variable (C : Type u) [Category.{v} C] namespace TopCat -- Porting note(#5171): was @[nolint has_nonempty_instance] def Presheaf (X : TopCat.{w}) : Type max u v w := (Opens X)ᵒᵖ ⥤ C set_option linter.uppercaseLean3 false in #align Top.presheaf TopCat.Presheaf instance (X : TopCat.{w}) : Category (Presheaf.{w, v, u} C X) := inferInstanceAs (Category ((Opens X)ᵒᵖ ⥤ C : Type max u v w)) variable {C} namespace Presheaf @[simp] theorem comp_app {P Q R : Presheaf C X} (f : P ⟶ Q) (g : Q ⟶ R) : (f ≫ g).app U = f.app U ≫ g.app U := rfl -- Porting note (#10756): added an `ext` lemma, -- since `NatTrans.ext` can not see through the definition of `Presheaf`. -- See https://github.com/leanprover-community/mathlib4/issues/5229 @[ext] lemma ext {P Q : Presheaf C X} {f g : P ⟶ Q} (w : ∀ U : Opens X, f.app (op U) = g.app (op U)) : f = g := by apply NatTrans.ext ext U induction U with | _ U => ?_ apply w attribute [local instance] CategoryTheory.ConcreteCategory.hasCoeToSort CategoryTheory.ConcreteCategory.instFunLike macro "sheaf_restrict" : attr => `(attr|aesop safe 50 apply (rule_sets := [$(Lean.mkIdent `Restrict):ident])) attribute [sheaf_restrict] bot_le le_top le_refl inf_le_left inf_le_right le_sup_left le_sup_right macro (name := restrict_tac) "restrict_tac" c:Aesop.tactic_clause* : tactic => `(tactic| first | assumption | aesop $c* (config := { terminal := true assumptionTransparency := .reducible enableSimp := false }) (rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident])) macro (name := restrict_tac?) "restrict_tac?" c:Aesop.tactic_clause* : tactic => `(tactic| aesop? $c* (config := { terminal := true assumptionTransparency := .reducible enableSimp := false maxRuleApplications := 300 }) (rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident])) attribute[aesop 10% (rule_sets := [Restrict])] le_trans attribute[aesop safe destruct (rule_sets := [Restrict])] Eq.trans_le attribute[aesop safe -50 (rule_sets := [Restrict])] Aesop.BuiltinRules.assumption example {X} [CompleteLattice X] (v : Nat → X) (w x y z : X) (e : v 0 = v 1) (_ : v 1 = v 2) (h₀ : v 1 ≤ x) (_ : x ≤ z ⊓ w) (h₂ : x ≤ y ⊓ z) : v 0 ≤ y := by restrict_tac def restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C} {V : Opens X} (x : F.obj (op V)) {U : Opens X} (h : U ⟶ V) : F.obj (op U) := F.map h.op x set_option linter.uppercaseLean3 false in #align Top.presheaf.restrict TopCat.Presheaf.restrict scoped[AlgebraicGeometry] infixl:80 " |_ₕ " => TopCat.Presheaf.restrict scoped[AlgebraicGeometry] notation:80 x " |_ₗ " U " ⟪" e "⟫ " => @TopCat.Presheaf.restrict _ _ _ _ _ _ x U (@homOfLE (Opens _) _ U _ e) open AlgebraicGeometry abbrev restrictOpen {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C} {V : Opens X} (x : F.obj (op V)) (U : Opens X) (e : U ≤ V := by restrict_tac) : F.obj (op U) := x |_ₗ U ⟪e⟫ set_option linter.uppercaseLean3 false in #align Top.presheaf.restrict_open TopCat.Presheaf.restrictOpen scoped[AlgebraicGeometry] infixl:80 " |_ " => TopCat.Presheaf.restrictOpen -- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence -- `@[simp]` is removed
Mathlib/Topology/Sheaves/Presheaf.lean
143
148
theorem restrict_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C} {U V W : Opens X} (e₁ : U ≤ V) (e₂ : V ≤ W) (x : F.obj (op W)) : x |_ V |_ U = x |_ U := by
delta restrictOpen restrict rw [← comp_apply, ← Functor.map_comp] rfl
3
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import Mathlib.CategoryTheory.Limits.KanExtension import Mathlib.Topology.Category.TopCat.Opens import Mathlib.CategoryTheory.Adjunction.Unique import Mathlib.Topology.Sheaves.Init import Mathlib.Data.Set.Subsingleton #align_import topology.sheaves.presheaf from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8" set_option autoImplicit true universe w v u open CategoryTheory TopologicalSpace Opposite variable (C : Type u) [Category.{v} C] namespace TopCat -- Porting note(#5171): was @[nolint has_nonempty_instance] def Presheaf (X : TopCat.{w}) : Type max u v w := (Opens X)ᵒᵖ ⥤ C set_option linter.uppercaseLean3 false in #align Top.presheaf TopCat.Presheaf instance (X : TopCat.{w}) : Category (Presheaf.{w, v, u} C X) := inferInstanceAs (Category ((Opens X)ᵒᵖ ⥤ C : Type max u v w)) variable {C} namespace Presheaf @[simp] theorem comp_app {P Q R : Presheaf C X} (f : P ⟶ Q) (g : Q ⟶ R) : (f ≫ g).app U = f.app U ≫ g.app U := rfl -- Porting note (#10756): added an `ext` lemma, -- since `NatTrans.ext` can not see through the definition of `Presheaf`. -- See https://github.com/leanprover-community/mathlib4/issues/5229 @[ext] lemma ext {P Q : Presheaf C X} {f g : P ⟶ Q} (w : ∀ U : Opens X, f.app (op U) = g.app (op U)) : f = g := by apply NatTrans.ext ext U induction U with | _ U => ?_ apply w attribute [local instance] CategoryTheory.ConcreteCategory.hasCoeToSort CategoryTheory.ConcreteCategory.instFunLike macro "sheaf_restrict" : attr => `(attr|aesop safe 50 apply (rule_sets := [$(Lean.mkIdent `Restrict):ident])) attribute [sheaf_restrict] bot_le le_top le_refl inf_le_left inf_le_right le_sup_left le_sup_right macro (name := restrict_tac) "restrict_tac" c:Aesop.tactic_clause* : tactic => `(tactic| first | assumption | aesop $c* (config := { terminal := true assumptionTransparency := .reducible enableSimp := false }) (rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident])) macro (name := restrict_tac?) "restrict_tac?" c:Aesop.tactic_clause* : tactic => `(tactic| aesop? $c* (config := { terminal := true assumptionTransparency := .reducible enableSimp := false maxRuleApplications := 300 }) (rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident])) attribute[aesop 10% (rule_sets := [Restrict])] le_trans attribute[aesop safe destruct (rule_sets := [Restrict])] Eq.trans_le attribute[aesop safe -50 (rule_sets := [Restrict])] Aesop.BuiltinRules.assumption example {X} [CompleteLattice X] (v : Nat → X) (w x y z : X) (e : v 0 = v 1) (_ : v 1 = v 2) (h₀ : v 1 ≤ x) (_ : x ≤ z ⊓ w) (h₂ : x ≤ y ⊓ z) : v 0 ≤ y := by restrict_tac def restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C} {V : Opens X} (x : F.obj (op V)) {U : Opens X} (h : U ⟶ V) : F.obj (op U) := F.map h.op x set_option linter.uppercaseLean3 false in #align Top.presheaf.restrict TopCat.Presheaf.restrict scoped[AlgebraicGeometry] infixl:80 " |_ₕ " => TopCat.Presheaf.restrict scoped[AlgebraicGeometry] notation:80 x " |_ₗ " U " ⟪" e "⟫ " => @TopCat.Presheaf.restrict _ _ _ _ _ _ x U (@homOfLE (Opens _) _ U _ e) open AlgebraicGeometry abbrev restrictOpen {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C} {V : Opens X} (x : F.obj (op V)) (U : Opens X) (e : U ≤ V := by restrict_tac) : F.obj (op U) := x |_ₗ U ⟪e⟫ set_option linter.uppercaseLean3 false in #align Top.presheaf.restrict_open TopCat.Presheaf.restrictOpen scoped[AlgebraicGeometry] infixl:80 " |_ " => TopCat.Presheaf.restrictOpen -- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence -- `@[simp]` is removed theorem restrict_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C} {U V W : Opens X} (e₁ : U ≤ V) (e₂ : V ≤ W) (x : F.obj (op W)) : x |_ V |_ U = x |_ U := by delta restrictOpen restrict rw [← comp_apply, ← Functor.map_comp] rfl set_option linter.uppercaseLean3 false in #align Top.presheaf.restrict_restrict TopCat.Presheaf.restrict_restrict -- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence -- `@[simp]` is removed
Mathlib/Topology/Sheaves/Presheaf.lean
154
158
theorem map_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F G : X.Presheaf C} (e : F ⟶ G) {U V : Opens X} (h : U ≤ V) (x : F.obj (op V)) : e.app _ (x |_ U) = e.app _ x |_ U := by
delta restrictOpen restrict rw [← comp_apply, NatTrans.naturality, comp_apply]
2
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import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.MvPolynomial.Rename import Mathlib.Algebra.MvPolynomial.Degrees import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Data.Finsupp.Fin import Mathlib.Logic.Equiv.Fin #align_import data.mv_polynomial.equiv from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Polynomial Set Function Finsupp AddMonoidAlgebra universe u v w x variable {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x} namespace MvPolynomial variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {s : σ →₀ ℕ} section Equiv variable (R) [CommSemiring R] @[simps] def pUnitAlgEquiv : MvPolynomial PUnit R ≃ₐ[R] R[X] where toFun := eval₂ Polynomial.C fun _ => Polynomial.X invFun := Polynomial.eval₂ MvPolynomial.C (X PUnit.unit) left_inv := by let f : R[X] →+* MvPolynomial PUnit R := Polynomial.eval₂RingHom MvPolynomial.C (X PUnit.unit) let g : MvPolynomial PUnit R →+* R[X] := eval₂Hom Polynomial.C fun _ => Polynomial.X show ∀ p, f.comp g p = p apply is_id · ext a dsimp [f, g] rw [eval₂_C, Polynomial.eval₂_C] · rintro ⟨⟩ dsimp [f, g] rw [eval₂_X, Polynomial.eval₂_X] right_inv p := Polynomial.induction_on p (fun a => by rw [Polynomial.eval₂_C, MvPolynomial.eval₂_C]) (fun p q hp hq => by rw [Polynomial.eval₂_add, MvPolynomial.eval₂_add, hp, hq]) fun p n _ => by rw [Polynomial.eval₂_mul, Polynomial.eval₂_pow, Polynomial.eval₂_X, Polynomial.eval₂_C, eval₂_mul, eval₂_C, eval₂_pow, eval₂_X] map_mul' _ _ := eval₂_mul _ _ map_add' _ _ := eval₂_add _ _ commutes' _ := eval₂_C _ _ _ #align mv_polynomial.punit_alg_equiv MvPolynomial.pUnitAlgEquiv section Map variable {R} (σ) @[simps apply] def mapEquiv [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) : MvPolynomial σ S₁ ≃+* MvPolynomial σ S₂ := { map (e : S₁ →+* S₂) with toFun := map (e : S₁ →+* S₂) invFun := map (e.symm : S₂ →+* S₁) left_inv := map_leftInverse e.left_inv right_inv := map_rightInverse e.right_inv } #align mv_polynomial.map_equiv MvPolynomial.mapEquiv @[simp] theorem mapEquiv_refl : mapEquiv σ (RingEquiv.refl R) = RingEquiv.refl _ := RingEquiv.ext map_id #align mv_polynomial.map_equiv_refl MvPolynomial.mapEquiv_refl @[simp] theorem mapEquiv_symm [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) : (mapEquiv σ e).symm = mapEquiv σ e.symm := rfl #align mv_polynomial.map_equiv_symm MvPolynomial.mapEquiv_symm @[simp] theorem mapEquiv_trans [CommSemiring S₁] [CommSemiring S₂] [CommSemiring S₃] (e : S₁ ≃+* S₂) (f : S₂ ≃+* S₃) : (mapEquiv σ e).trans (mapEquiv σ f) = mapEquiv σ (e.trans f) := RingEquiv.ext fun p => by simp only [RingEquiv.coe_trans, comp_apply, mapEquiv_apply, RingEquiv.coe_ringHom_trans, map_map] #align mv_polynomial.map_equiv_trans MvPolynomial.mapEquiv_trans variable {A₁ A₂ A₃ : Type*} [CommSemiring A₁] [CommSemiring A₂] [CommSemiring A₃] variable [Algebra R A₁] [Algebra R A₂] [Algebra R A₃] @[simps apply] def mapAlgEquiv (e : A₁ ≃ₐ[R] A₂) : MvPolynomial σ A₁ ≃ₐ[R] MvPolynomial σ A₂ := { mapAlgHom (e : A₁ →ₐ[R] A₂), mapEquiv σ (e : A₁ ≃+* A₂) with toFun := map (e : A₁ →+* A₂) } #align mv_polynomial.map_alg_equiv MvPolynomial.mapAlgEquiv @[simp] theorem mapAlgEquiv_refl : mapAlgEquiv σ (AlgEquiv.refl : A₁ ≃ₐ[R] A₁) = AlgEquiv.refl := AlgEquiv.ext map_id #align mv_polynomial.map_alg_equiv_refl MvPolynomial.mapAlgEquiv_refl @[simp] theorem mapAlgEquiv_symm (e : A₁ ≃ₐ[R] A₂) : (mapAlgEquiv σ e).symm = mapAlgEquiv σ e.symm := rfl #align mv_polynomial.map_alg_equiv_symm MvPolynomial.mapAlgEquiv_symm @[simp]
Mathlib/Algebra/MvPolynomial/Equiv.lean
143
147
theorem mapAlgEquiv_trans (e : A₁ ≃ₐ[R] A₂) (f : A₂ ≃ₐ[R] A₃) : (mapAlgEquiv σ e).trans (mapAlgEquiv σ f) = mapAlgEquiv σ (e.trans f) := by
ext simp only [AlgEquiv.trans_apply, mapAlgEquiv_apply, map_map] rfl
3
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import Mathlib.ModelTheory.Syntax import Mathlib.ModelTheory.Semantics import Mathlib.ModelTheory.Algebra.Ring.Basic import Mathlib.Algebra.Field.MinimalAxioms variable {K : Type*} namespace FirstOrder namespace Field open Language Ring Structure BoundedFormula inductive FieldAxiom : Type | addAssoc : FieldAxiom | zeroAdd : FieldAxiom | addLeftNeg : FieldAxiom | mulAssoc : FieldAxiom | mulComm : FieldAxiom | oneMul : FieldAxiom | existsInv : FieldAxiom | leftDistrib : FieldAxiom | existsPairNE : FieldAxiom @[simp] def FieldAxiom.toSentence : FieldAxiom → Language.ring.Sentence | .addAssoc => ∀' ∀' ∀' (((&0 + &1) + &2) =' (&0 + (&1 + &2))) | .zeroAdd => ∀' (((0 : Language.ring.Term _) + &0) =' &0) | .addLeftNeg => ∀' ∀' ((-&0 + &0) =' 0) | .mulAssoc => ∀' ∀' ∀' (((&0 * &1) * &2) =' (&0 * (&1 * &2))) | .mulComm => ∀' ∀' ((&0 * &1) =' (&1 * &0)) | .oneMul => ∀' (((1 : Language.ring.Term _) * &0) =' &0) | .existsInv => ∀' (∼(&0 =' 0) ⟹ ∃' ((&0 * &1) =' 1)) | .leftDistrib => ∀' ∀' ∀' ((&0 * (&1 + &2)) =' ((&0 * &1) + (&0 * &2))) | .existsPairNE => ∃' ∃' (∼(&0 =' &1)) @[simp] def FieldAxiom.toProp (K : Type*) [Add K] [Mul K] [Neg K] [Zero K] [One K] : FieldAxiom → Prop | .addAssoc => ∀ x y z : K, (x + y) + z = x + (y + z) | .zeroAdd => ∀ x : K, 0 + x = x | .addLeftNeg => ∀ x : K, -x + x = 0 | .mulAssoc => ∀ x y z : K, (x * y) * z = x * (y * z) | .mulComm => ∀ x y : K, x * y = y * x | .oneMul => ∀ x : K, 1 * x = x | .existsInv => ∀ x : K, x ≠ 0 → ∃ y, x * y = 1 | .leftDistrib => ∀ x y z : K, x * (y + z) = x * y + x * z | .existsPairNE => ∃ x y : K, x ≠ y def _root_.FirstOrder.Language.Theory.field : Language.ring.Theory := Set.range FieldAxiom.toSentence
Mathlib/ModelTheory/Algebra/Field/Basic.lean
81
86
theorem FieldAxiom.realize_toSentence_iff_toProp {K : Type*} [Add K] [Mul K] [Neg K] [Zero K] [One K] [CompatibleRing K] (ax : FieldAxiom) : (K ⊨ (ax.toSentence : Sentence Language.ring)) ↔ ax.toProp K := by
cases ax <;> simp [Sentence.Realize, Formula.Realize, Fin.snoc]
2
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import Mathlib.Algebra.Algebra.Tower #align_import algebra.algebra.restrict_scalars from "leanprover-community/mathlib"@"c310cfdc40da4d99a10a58c33a95360ef9e6e0bf" variable (R S M A : Type*) @[nolint unusedArguments] def RestrictScalars (_R _S M : Type*) : Type _ := M #align restrict_scalars RestrictScalars instance [I : Inhabited M] : Inhabited (RestrictScalars R S M) := I instance [I : AddCommMonoid M] : AddCommMonoid (RestrictScalars R S M) := I instance [I : AddCommGroup M] : AddCommGroup (RestrictScalars R S M) := I section Module section variable [Semiring S] [AddCommMonoid M] def RestrictScalars.moduleOrig [I : Module S M] : Module S (RestrictScalars R S M) := I #align restrict_scalars.module_orig RestrictScalars.moduleOrig variable [CommSemiring R] [Algebra R S] section attribute [local instance] RestrictScalars.moduleOrig instance RestrictScalars.module [Module S M] : Module R (RestrictScalars R S M) := Module.compHom M (algebraMap R S) instance RestrictScalars.isScalarTower [Module S M] : IsScalarTower R S (RestrictScalars R S M) := ⟨fun r S M ↦ by rw [Algebra.smul_def, mul_smul] rfl⟩ #align restrict_scalars.is_scalar_tower RestrictScalars.isScalarTower end instance RestrictScalars.opModule [Module Sᵐᵒᵖ M] : Module Rᵐᵒᵖ (RestrictScalars R S M) := letI : Module Sᵐᵒᵖ (RestrictScalars R S M) := ‹Module Sᵐᵒᵖ M› Module.compHom M (RingHom.op <| algebraMap R S) #align restrict_scalars.op_module RestrictScalars.opModule instance RestrictScalars.isCentralScalar [Module S M] [Module Sᵐᵒᵖ M] [IsCentralScalar S M] : IsCentralScalar R (RestrictScalars R S M) where op_smul_eq_smul r _x := (op_smul_eq_smul (algebraMap R S r) (_ : M) : _) #align restrict_scalars.is_central_scalar RestrictScalars.isCentralScalar def RestrictScalars.lsmul [Module S M] : S →ₐ[R] Module.End R (RestrictScalars R S M) := -- We use `RestrictScalars.moduleOrig` in the implementation, -- but not in the type. letI : Module S (RestrictScalars R S M) := RestrictScalars.moduleOrig R S M Algebra.lsmul R R (RestrictScalars R S M) #align restrict_scalars.lsmul RestrictScalars.lsmul end variable [AddCommMonoid M] def RestrictScalars.addEquiv : RestrictScalars R S M ≃+ M := AddEquiv.refl M #align restrict_scalars.add_equiv RestrictScalars.addEquiv variable [CommSemiring R] [Semiring S] [Algebra R S] [Module S M] theorem RestrictScalars.smul_def (c : R) (x : RestrictScalars R S M) : c • x = (RestrictScalars.addEquiv R S M).symm (algebraMap R S c • RestrictScalars.addEquiv R S M x) := rfl #align restrict_scalars.smul_def RestrictScalars.smul_def @[simp] theorem RestrictScalars.addEquiv_map_smul (c : R) (x : RestrictScalars R S M) : RestrictScalars.addEquiv R S M (c • x) = algebraMap R S c • RestrictScalars.addEquiv R S M x := rfl #align restrict_scalars.add_equiv_map_smul RestrictScalars.addEquiv_map_smul theorem RestrictScalars.addEquiv_symm_map_algebraMap_smul (r : R) (x : M) : (RestrictScalars.addEquiv R S M).symm (algebraMap R S r • x) = r • (RestrictScalars.addEquiv R S M).symm x := rfl #align restrict_scalars.add_equiv_symm_map_algebra_map_smul RestrictScalars.addEquiv_symm_map_algebraMap_smul
Mathlib/Algebra/Algebra/RestrictScalars.lean
175
179
theorem RestrictScalars.addEquiv_symm_map_smul_smul (r : R) (s : S) (x : M) : (RestrictScalars.addEquiv R S M).symm ((r • s) • x) = r • (RestrictScalars.addEquiv R S M).symm (s • x) := by
rw [Algebra.smul_def, mul_smul] rfl
2
7.389056
1
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834
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum
Mathlib/Analysis/BoxIntegral/Basic.lean
83
87
theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by
refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ']
2
7.389056
1
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835
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged
Mathlib/Analysis/BoxIntegral/Basic.lean
90
100
theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by
refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ)
8
2,980.957987
2
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835
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ) #align box_integral.integral_sum_bUnion_partition BoxIntegral.integralSum_biUnion_partition theorem integralSum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) {π' : Prepartition I} (h : π'.IsPartition) : integralSum f vol (π.infPrepartition π') = integralSum f vol π := integralSum_biUnion_partition f vol π _ fun _J hJ => h.restrict (Prepartition.le_of_mem _ hJ) #align box_integral.integral_sum_inf_partition BoxIntegral.integralSum_inf_partition theorem integralSum_fiberwise {α} (g : Box ι → α) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : (∑ y ∈ π.boxes.image g, integralSum f vol (π.filter (g · = y))) = integralSum f vol π := π.sum_fiberwise g fun J => vol J (f <| π.tag J) #align box_integral.integral_sum_fiberwise BoxIntegral.integralSum_fiberwise
Mathlib/Analysis/BoxIntegral/Basic.lean
115
123
theorem integralSum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h₁ : π₁.IsPartition) (h₂ : π₂.IsPartition) : integralSum f vol π₁ - integralSum f vol π₂ = ∑ J ∈ (π₁.toPrepartition ⊓ π₂.toPrepartition).boxes, (vol J (f <| (π₁.infPrepartition π₂.toPrepartition).tag J) - vol J (f <| (π₂.infPrepartition π₁.toPrepartition).tag J)) := by
rw [← integralSum_inf_partition f vol π₁ h₂, ← integralSum_inf_partition f vol π₂ h₁, integralSum, integralSum, Finset.sum_sub_distrib] simp only [infPrepartition_toPrepartition, inf_comm]
3
20.085537
1
1
6
835
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ) #align box_integral.integral_sum_bUnion_partition BoxIntegral.integralSum_biUnion_partition theorem integralSum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) {π' : Prepartition I} (h : π'.IsPartition) : integralSum f vol (π.infPrepartition π') = integralSum f vol π := integralSum_biUnion_partition f vol π _ fun _J hJ => h.restrict (Prepartition.le_of_mem _ hJ) #align box_integral.integral_sum_inf_partition BoxIntegral.integralSum_inf_partition theorem integralSum_fiberwise {α} (g : Box ι → α) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : (∑ y ∈ π.boxes.image g, integralSum f vol (π.filter (g · = y))) = integralSum f vol π := π.sum_fiberwise g fun J => vol J (f <| π.tag J) #align box_integral.integral_sum_fiberwise BoxIntegral.integralSum_fiberwise theorem integralSum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h₁ : π₁.IsPartition) (h₂ : π₂.IsPartition) : integralSum f vol π₁ - integralSum f vol π₂ = ∑ J ∈ (π₁.toPrepartition ⊓ π₂.toPrepartition).boxes, (vol J (f <| (π₁.infPrepartition π₂.toPrepartition).tag J) - vol J (f <| (π₂.infPrepartition π₁.toPrepartition).tag J)) := by rw [← integralSum_inf_partition f vol π₁ h₂, ← integralSum_inf_partition f vol π₂ h₁, integralSum, integralSum, Finset.sum_sub_distrib] simp only [infPrepartition_toPrepartition, inf_comm] #align box_integral.integral_sum_sub_partitions BoxIntegral.integralSum_sub_partitions @[simp]
Mathlib/Analysis/BoxIntegral/Basic.lean
127
133
theorem integralSum_disjUnion (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h : Disjoint π₁.iUnion π₂.iUnion) : integralSum f vol (π₁.disjUnion π₂ h) = integralSum f vol π₁ + integralSum f vol π₂ := by
refine (Prepartition.sum_disj_union_boxes h _).trans (congr_arg₂ (· + ·) (sum_congr rfl fun J hJ => ?_) (sum_congr rfl fun J hJ => ?_)) · rw [disjUnion_tag_of_mem_left _ hJ] · rw [disjUnion_tag_of_mem_right _ hJ]
4
54.59815
2
1
6
835
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ) #align box_integral.integral_sum_bUnion_partition BoxIntegral.integralSum_biUnion_partition theorem integralSum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) {π' : Prepartition I} (h : π'.IsPartition) : integralSum f vol (π.infPrepartition π') = integralSum f vol π := integralSum_biUnion_partition f vol π _ fun _J hJ => h.restrict (Prepartition.le_of_mem _ hJ) #align box_integral.integral_sum_inf_partition BoxIntegral.integralSum_inf_partition theorem integralSum_fiberwise {α} (g : Box ι → α) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : (∑ y ∈ π.boxes.image g, integralSum f vol (π.filter (g · = y))) = integralSum f vol π := π.sum_fiberwise g fun J => vol J (f <| π.tag J) #align box_integral.integral_sum_fiberwise BoxIntegral.integralSum_fiberwise theorem integralSum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h₁ : π₁.IsPartition) (h₂ : π₂.IsPartition) : integralSum f vol π₁ - integralSum f vol π₂ = ∑ J ∈ (π₁.toPrepartition ⊓ π₂.toPrepartition).boxes, (vol J (f <| (π₁.infPrepartition π₂.toPrepartition).tag J) - vol J (f <| (π₂.infPrepartition π₁.toPrepartition).tag J)) := by rw [← integralSum_inf_partition f vol π₁ h₂, ← integralSum_inf_partition f vol π₂ h₁, integralSum, integralSum, Finset.sum_sub_distrib] simp only [infPrepartition_toPrepartition, inf_comm] #align box_integral.integral_sum_sub_partitions BoxIntegral.integralSum_sub_partitions @[simp] theorem integralSum_disjUnion (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h : Disjoint π₁.iUnion π₂.iUnion) : integralSum f vol (π₁.disjUnion π₂ h) = integralSum f vol π₁ + integralSum f vol π₂ := by refine (Prepartition.sum_disj_union_boxes h _).trans (congr_arg₂ (· + ·) (sum_congr rfl fun J hJ => ?_) (sum_congr rfl fun J hJ => ?_)) · rw [disjUnion_tag_of_mem_left _ hJ] · rw [disjUnion_tag_of_mem_right _ hJ] #align box_integral.integral_sum_disj_union BoxIntegral.integralSum_disjUnion @[simp]
Mathlib/Analysis/BoxIntegral/Basic.lean
137
139
theorem integralSum_add (f g : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : integralSum (f + g) vol π = integralSum f vol π + integralSum g vol π := by
simp only [integralSum, Pi.add_apply, (vol _).map_add, Finset.sum_add_distrib]
1
2.718282
0
1
6
835
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ) #align box_integral.integral_sum_bUnion_partition BoxIntegral.integralSum_biUnion_partition theorem integralSum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) {π' : Prepartition I} (h : π'.IsPartition) : integralSum f vol (π.infPrepartition π') = integralSum f vol π := integralSum_biUnion_partition f vol π _ fun _J hJ => h.restrict (Prepartition.le_of_mem _ hJ) #align box_integral.integral_sum_inf_partition BoxIntegral.integralSum_inf_partition theorem integralSum_fiberwise {α} (g : Box ι → α) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : (∑ y ∈ π.boxes.image g, integralSum f vol (π.filter (g · = y))) = integralSum f vol π := π.sum_fiberwise g fun J => vol J (f <| π.tag J) #align box_integral.integral_sum_fiberwise BoxIntegral.integralSum_fiberwise theorem integralSum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h₁ : π₁.IsPartition) (h₂ : π₂.IsPartition) : integralSum f vol π₁ - integralSum f vol π₂ = ∑ J ∈ (π₁.toPrepartition ⊓ π₂.toPrepartition).boxes, (vol J (f <| (π₁.infPrepartition π₂.toPrepartition).tag J) - vol J (f <| (π₂.infPrepartition π₁.toPrepartition).tag J)) := by rw [← integralSum_inf_partition f vol π₁ h₂, ← integralSum_inf_partition f vol π₂ h₁, integralSum, integralSum, Finset.sum_sub_distrib] simp only [infPrepartition_toPrepartition, inf_comm] #align box_integral.integral_sum_sub_partitions BoxIntegral.integralSum_sub_partitions @[simp] theorem integralSum_disjUnion (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I} (h : Disjoint π₁.iUnion π₂.iUnion) : integralSum f vol (π₁.disjUnion π₂ h) = integralSum f vol π₁ + integralSum f vol π₂ := by refine (Prepartition.sum_disj_union_boxes h _).trans (congr_arg₂ (· + ·) (sum_congr rfl fun J hJ => ?_) (sum_congr rfl fun J hJ => ?_)) · rw [disjUnion_tag_of_mem_left _ hJ] · rw [disjUnion_tag_of_mem_right _ hJ] #align box_integral.integral_sum_disj_union BoxIntegral.integralSum_disjUnion @[simp] theorem integralSum_add (f g : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : integralSum (f + g) vol π = integralSum f vol π + integralSum g vol π := by simp only [integralSum, Pi.add_apply, (vol _).map_add, Finset.sum_add_distrib] #align box_integral.integral_sum_add BoxIntegral.integralSum_add @[simp]
Mathlib/Analysis/BoxIntegral/Basic.lean
143
145
theorem integralSum_neg (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : integralSum (-f) vol π = -integralSum f vol π := by
simp only [integralSum, Pi.neg_apply, (vol _).map_neg, Finset.sum_neg_distrib]
1
2.718282
0
1
6
835
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Index import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.GroupAction.Quotient import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.SpecificGroups.Cyclic import Mathlib.Tactic.IntervalCases #align_import group_theory.p_group from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open Fintype MulAction variable (p : ℕ) (G : Type*) [Group G] def IsPGroup : Prop := ∀ g : G, ∃ k : ℕ, g ^ p ^ k = 1 #align is_p_group IsPGroup variable {p} {G} namespace IsPGroup theorem iff_orderOf [hp : Fact p.Prime] : IsPGroup p G ↔ ∀ g : G, ∃ k : ℕ, orderOf g = p ^ k := forall_congr' fun g => ⟨fun ⟨k, hk⟩ => Exists.imp (fun _ h => h.right) ((Nat.dvd_prime_pow hp.out).mp (orderOf_dvd_of_pow_eq_one hk)), Exists.imp fun k hk => by rw [← hk, pow_orderOf_eq_one]⟩ #align is_p_group.iff_order_of IsPGroup.iff_orderOf theorem of_card [Fintype G] {n : ℕ} (hG : card G = p ^ n) : IsPGroup p G := fun g => ⟨n, by rw [← hG, pow_card_eq_one]⟩ #align is_p_group.of_card IsPGroup.of_card theorem of_bot : IsPGroup p (⊥ : Subgroup G) := of_card (by rw [← Nat.card_eq_fintype_card, Subgroup.card_bot, pow_zero]) #align is_p_group.of_bot IsPGroup.of_bot
Mathlib/GroupTheory/PGroup.lean
54
65
theorem iff_card [Fact p.Prime] [Fintype G] : IsPGroup p G ↔ ∃ n : ℕ, card G = p ^ n := by
have hG : card G ≠ 0 := card_ne_zero refine ⟨fun h => ?_, fun ⟨n, hn⟩ => of_card hn⟩ suffices ∀ q ∈ Nat.factors (card G), q = p by use (card G).factors.length rw [← List.prod_replicate, ← List.eq_replicate_of_mem this, Nat.prod_factors hG] intro q hq obtain ⟨hq1, hq2⟩ := (Nat.mem_factors hG).mp hq haveI : Fact q.Prime := ⟨hq1⟩ obtain ⟨g, hg⟩ := exists_prime_orderOf_dvd_card q hq2 obtain ⟨k, hk⟩ := (iff_orderOf.mp h) g exact (hq1.pow_eq_iff.mp (hg.symm.trans hk).symm).1.symm
11
59,874.141715
2
1
4
836
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Index import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.GroupAction.Quotient import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.SpecificGroups.Cyclic import Mathlib.Tactic.IntervalCases #align_import group_theory.p_group from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open Fintype MulAction variable (p : ℕ) (G : Type*) [Group G] def IsPGroup : Prop := ∀ g : G, ∃ k : ℕ, g ^ p ^ k = 1 #align is_p_group IsPGroup variable {p} {G} namespace IsPGroup theorem iff_orderOf [hp : Fact p.Prime] : IsPGroup p G ↔ ∀ g : G, ∃ k : ℕ, orderOf g = p ^ k := forall_congr' fun g => ⟨fun ⟨k, hk⟩ => Exists.imp (fun _ h => h.right) ((Nat.dvd_prime_pow hp.out).mp (orderOf_dvd_of_pow_eq_one hk)), Exists.imp fun k hk => by rw [← hk, pow_orderOf_eq_one]⟩ #align is_p_group.iff_order_of IsPGroup.iff_orderOf theorem of_card [Fintype G] {n : ℕ} (hG : card G = p ^ n) : IsPGroup p G := fun g => ⟨n, by rw [← hG, pow_card_eq_one]⟩ #align is_p_group.of_card IsPGroup.of_card theorem of_bot : IsPGroup p (⊥ : Subgroup G) := of_card (by rw [← Nat.card_eq_fintype_card, Subgroup.card_bot, pow_zero]) #align is_p_group.of_bot IsPGroup.of_bot theorem iff_card [Fact p.Prime] [Fintype G] : IsPGroup p G ↔ ∃ n : ℕ, card G = p ^ n := by have hG : card G ≠ 0 := card_ne_zero refine ⟨fun h => ?_, fun ⟨n, hn⟩ => of_card hn⟩ suffices ∀ q ∈ Nat.factors (card G), q = p by use (card G).factors.length rw [← List.prod_replicate, ← List.eq_replicate_of_mem this, Nat.prod_factors hG] intro q hq obtain ⟨hq1, hq2⟩ := (Nat.mem_factors hG).mp hq haveI : Fact q.Prime := ⟨hq1⟩ obtain ⟨g, hg⟩ := exists_prime_orderOf_dvd_card q hq2 obtain ⟨k, hk⟩ := (iff_orderOf.mp h) g exact (hq1.pow_eq_iff.mp (hg.symm.trans hk).symm).1.symm #align is_p_group.iff_card IsPGroup.iff_card alias ⟨exists_card_eq, _⟩ := iff_card section GIsPGroup variable (hG : IsPGroup p G)
Mathlib/GroupTheory/PGroup.lean
74
77
theorem of_injective {H : Type*} [Group H] (ϕ : H →* G) (hϕ : Function.Injective ϕ) : IsPGroup p H := by
simp_rw [IsPGroup, ← hϕ.eq_iff, ϕ.map_pow, ϕ.map_one] exact fun h => hG (ϕ h)
2
7.389056
1
1
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836
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Index import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.GroupAction.Quotient import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.SpecificGroups.Cyclic import Mathlib.Tactic.IntervalCases #align_import group_theory.p_group from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open Fintype MulAction variable (p : ℕ) (G : Type*) [Group G] def IsPGroup : Prop := ∀ g : G, ∃ k : ℕ, g ^ p ^ k = 1 #align is_p_group IsPGroup variable {p} {G} namespace IsPGroup theorem iff_orderOf [hp : Fact p.Prime] : IsPGroup p G ↔ ∀ g : G, ∃ k : ℕ, orderOf g = p ^ k := forall_congr' fun g => ⟨fun ⟨k, hk⟩ => Exists.imp (fun _ h => h.right) ((Nat.dvd_prime_pow hp.out).mp (orderOf_dvd_of_pow_eq_one hk)), Exists.imp fun k hk => by rw [← hk, pow_orderOf_eq_one]⟩ #align is_p_group.iff_order_of IsPGroup.iff_orderOf theorem of_card [Fintype G] {n : ℕ} (hG : card G = p ^ n) : IsPGroup p G := fun g => ⟨n, by rw [← hG, pow_card_eq_one]⟩ #align is_p_group.of_card IsPGroup.of_card theorem of_bot : IsPGroup p (⊥ : Subgroup G) := of_card (by rw [← Nat.card_eq_fintype_card, Subgroup.card_bot, pow_zero]) #align is_p_group.of_bot IsPGroup.of_bot theorem iff_card [Fact p.Prime] [Fintype G] : IsPGroup p G ↔ ∃ n : ℕ, card G = p ^ n := by have hG : card G ≠ 0 := card_ne_zero refine ⟨fun h => ?_, fun ⟨n, hn⟩ => of_card hn⟩ suffices ∀ q ∈ Nat.factors (card G), q = p by use (card G).factors.length rw [← List.prod_replicate, ← List.eq_replicate_of_mem this, Nat.prod_factors hG] intro q hq obtain ⟨hq1, hq2⟩ := (Nat.mem_factors hG).mp hq haveI : Fact q.Prime := ⟨hq1⟩ obtain ⟨g, hg⟩ := exists_prime_orderOf_dvd_card q hq2 obtain ⟨k, hk⟩ := (iff_orderOf.mp h) g exact (hq1.pow_eq_iff.mp (hg.symm.trans hk).symm).1.symm #align is_p_group.iff_card IsPGroup.iff_card alias ⟨exists_card_eq, _⟩ := iff_card section GIsPGroup variable (hG : IsPGroup p G) theorem of_injective {H : Type*} [Group H] (ϕ : H →* G) (hϕ : Function.Injective ϕ) : IsPGroup p H := by simp_rw [IsPGroup, ← hϕ.eq_iff, ϕ.map_pow, ϕ.map_one] exact fun h => hG (ϕ h) #align is_p_group.of_injective IsPGroup.of_injective theorem to_subgroup (H : Subgroup G) : IsPGroup p H := hG.of_injective H.subtype Subtype.coe_injective #align is_p_group.to_subgroup IsPGroup.to_subgroup
Mathlib/GroupTheory/PGroup.lean
84
87
theorem of_surjective {H : Type*} [Group H] (ϕ : G →* H) (hϕ : Function.Surjective ϕ) : IsPGroup p H := by
refine fun h => Exists.elim (hϕ h) fun g hg => Exists.imp (fun k hk => ?_) (hG g) rw [← hg, ← ϕ.map_pow, hk, ϕ.map_one]
2
7.389056
1
1
4
836
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Index import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.GroupAction.Quotient import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.SpecificGroups.Cyclic import Mathlib.Tactic.IntervalCases #align_import group_theory.p_group from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open Fintype MulAction variable (p : ℕ) (G : Type*) [Group G] def IsPGroup : Prop := ∀ g : G, ∃ k : ℕ, g ^ p ^ k = 1 #align is_p_group IsPGroup variable {p} {G} namespace IsPGroup theorem iff_orderOf [hp : Fact p.Prime] : IsPGroup p G ↔ ∀ g : G, ∃ k : ℕ, orderOf g = p ^ k := forall_congr' fun g => ⟨fun ⟨k, hk⟩ => Exists.imp (fun _ h => h.right) ((Nat.dvd_prime_pow hp.out).mp (orderOf_dvd_of_pow_eq_one hk)), Exists.imp fun k hk => by rw [← hk, pow_orderOf_eq_one]⟩ #align is_p_group.iff_order_of IsPGroup.iff_orderOf theorem of_card [Fintype G] {n : ℕ} (hG : card G = p ^ n) : IsPGroup p G := fun g => ⟨n, by rw [← hG, pow_card_eq_one]⟩ #align is_p_group.of_card IsPGroup.of_card theorem of_bot : IsPGroup p (⊥ : Subgroup G) := of_card (by rw [← Nat.card_eq_fintype_card, Subgroup.card_bot, pow_zero]) #align is_p_group.of_bot IsPGroup.of_bot theorem iff_card [Fact p.Prime] [Fintype G] : IsPGroup p G ↔ ∃ n : ℕ, card G = p ^ n := by have hG : card G ≠ 0 := card_ne_zero refine ⟨fun h => ?_, fun ⟨n, hn⟩ => of_card hn⟩ suffices ∀ q ∈ Nat.factors (card G), q = p by use (card G).factors.length rw [← List.prod_replicate, ← List.eq_replicate_of_mem this, Nat.prod_factors hG] intro q hq obtain ⟨hq1, hq2⟩ := (Nat.mem_factors hG).mp hq haveI : Fact q.Prime := ⟨hq1⟩ obtain ⟨g, hg⟩ := exists_prime_orderOf_dvd_card q hq2 obtain ⟨k, hk⟩ := (iff_orderOf.mp h) g exact (hq1.pow_eq_iff.mp (hg.symm.trans hk).symm).1.symm #align is_p_group.iff_card IsPGroup.iff_card alias ⟨exists_card_eq, _⟩ := iff_card section GIsPGroup variable (hG : IsPGroup p G) theorem of_injective {H : Type*} [Group H] (ϕ : H →* G) (hϕ : Function.Injective ϕ) : IsPGroup p H := by simp_rw [IsPGroup, ← hϕ.eq_iff, ϕ.map_pow, ϕ.map_one] exact fun h => hG (ϕ h) #align is_p_group.of_injective IsPGroup.of_injective theorem to_subgroup (H : Subgroup G) : IsPGroup p H := hG.of_injective H.subtype Subtype.coe_injective #align is_p_group.to_subgroup IsPGroup.to_subgroup theorem of_surjective {H : Type*} [Group H] (ϕ : G →* H) (hϕ : Function.Surjective ϕ) : IsPGroup p H := by refine fun h => Exists.elim (hϕ h) fun g hg => Exists.imp (fun k hk => ?_) (hG g) rw [← hg, ← ϕ.map_pow, hk, ϕ.map_one] #align is_p_group.of_surjective IsPGroup.of_surjective theorem to_quotient (H : Subgroup G) [H.Normal] : IsPGroup p (G ⧸ H) := hG.of_surjective (QuotientGroup.mk' H) Quotient.surjective_Quotient_mk'' #align is_p_group.to_quotient IsPGroup.to_quotient theorem of_equiv {H : Type*} [Group H] (ϕ : G ≃* H) : IsPGroup p H := hG.of_surjective ϕ.toMonoidHom ϕ.surjective #align is_p_group.of_equiv IsPGroup.of_equiv theorem orderOf_coprime {n : ℕ} (hn : p.Coprime n) (g : G) : (orderOf g).Coprime n := let ⟨k, hk⟩ := hG g (hn.pow_left k).coprime_dvd_left (orderOf_dvd_of_pow_eq_one hk) #align is_p_group.order_of_coprime IsPGroup.orderOf_coprime noncomputable def powEquiv {n : ℕ} (hn : p.Coprime n) : G ≃ G := let h : ∀ g : G, (Nat.card (Subgroup.zpowers g)).Coprime n := fun g => (Nat.card_zpowers g).symm ▸ hG.orderOf_coprime hn g { toFun := (· ^ n) invFun := fun g => (powCoprime (h g)).symm ⟨g, Subgroup.mem_zpowers g⟩ left_inv := fun g => Subtype.ext_iff.1 <| (powCoprime (h (g ^ n))).left_inv ⟨g, _, Subtype.ext_iff.1 <| (powCoprime (h g)).left_inv ⟨g, Subgroup.mem_zpowers g⟩⟩ right_inv := fun g => Subtype.ext_iff.1 <| (powCoprime (h g)).right_inv ⟨g, Subgroup.mem_zpowers g⟩ } #align is_p_group.pow_equiv IsPGroup.powEquiv @[simp] theorem powEquiv_apply {n : ℕ} (hn : p.Coprime n) (g : G) : hG.powEquiv hn g = g ^ n := rfl #align is_p_group.pow_equiv_apply IsPGroup.powEquiv_apply @[simp]
Mathlib/GroupTheory/PGroup.lean
123
124
theorem powEquiv_symm_apply {n : ℕ} (hn : p.Coprime n) (g : G) : (hG.powEquiv hn).symm g = g ^ (orderOf g).gcdB n := by
rw [← Nat.card_zpowers]; rfl
1
2.718282
0
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4
836
import Mathlib.LinearAlgebra.Basis import Mathlib.Algebra.FreeAlgebra import Mathlib.LinearAlgebra.FinsuppVectorSpace import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition import Mathlib.LinearAlgebra.Dimension.StrongRankCondition #align_import linear_algebra.free_algebra from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" universe u v namespace FreeAlgebra variable (R : Type u) (X : Type v) section variable [CommSemiring R] -- @[simps] noncomputable def basisFreeMonoid : Basis (FreeMonoid X) R (FreeAlgebra R X) := Finsupp.basisSingleOne.map (equivMonoidAlgebraFreeMonoid (R := R) (X := X)).symm.toLinearEquiv #align free_algebra.basis_free_monoid FreeAlgebra.basisFreeMonoid instance : Module.Free R (FreeAlgebra R X) := have : Module.Free R (MonoidAlgebra R (FreeMonoid X)) := Module.Free.finsupp _ _ _ Module.Free.of_equiv (equivMonoidAlgebraFreeMonoid (R := R) (X := X)).symm.toLinearEquiv end
Mathlib/LinearAlgebra/FreeAlgebra.lean
44
47
theorem rank_eq [CommRing R] [Nontrivial R] : Module.rank R (FreeAlgebra R X) = Cardinal.lift.{u} (Cardinal.mk (List X)) := by
rw [← (Basis.mk_eq_rank'.{_,_,_,u} (basisFreeMonoid R X)).trans (Cardinal.lift_id _), Cardinal.lift_umax'.{v,u}, FreeMonoid]
2
7.389056
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837
import Mathlib.Algebra.Regular.Basic import Mathlib.Algebra.Ring.Defs #align_import algebra.ring.regular from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4" variable {α : Type*}
Mathlib/Algebra/Ring/Regular.lean
20
23
theorem isLeftRegular_of_non_zero_divisor [NonUnitalNonAssocRing α] (k : α) (h : ∀ x : α, k * x = 0 → x = 0) : IsLeftRegular k := by
refine fun x y (h' : k * x = k * y) => sub_eq_zero.mp (h _ ?_) rw [mul_sub, sub_eq_zero, h']
2
7.389056
1
1
2
838
import Mathlib.Algebra.Regular.Basic import Mathlib.Algebra.Ring.Defs #align_import algebra.ring.regular from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4" variable {α : Type*} theorem isLeftRegular_of_non_zero_divisor [NonUnitalNonAssocRing α] (k : α) (h : ∀ x : α, k * x = 0 → x = 0) : IsLeftRegular k := by refine fun x y (h' : k * x = k * y) => sub_eq_zero.mp (h _ ?_) rw [mul_sub, sub_eq_zero, h'] #align is_left_regular_of_non_zero_divisor isLeftRegular_of_non_zero_divisor
Mathlib/Algebra/Ring/Regular.lean
28
31
theorem isRightRegular_of_non_zero_divisor [NonUnitalNonAssocRing α] (k : α) (h : ∀ x : α, x * k = 0 → x = 0) : IsRightRegular k := by
refine fun x y (h' : x * k = y * k) => sub_eq_zero.mp (h _ ?_) rw [sub_mul, sub_eq_zero, h']
2
7.389056
1
1
2
838
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler namespace ZMod variable (p : ℕ) [Fact p.Prime]
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
48
57
theorem euler_criterion_units (x : (ZMod p)ˣ) : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ x ^ (p / 2) = 1 := by
by_cases hc : p = 2 · subst hc simp only [eq_iff_true_of_subsingleton, exists_const] · have h₀ := FiniteField.unit_isSquare_iff (by rwa [ringChar_zmod_n]) x have hs : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ IsSquare x := by rw [isSquare_iff_exists_sq x] simp_rw [eq_comm] rw [hs] rwa [card p] at h₀
9
8,103.083928
2
1
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839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler namespace ZMod variable (p : ℕ) [Fact p.Prime] theorem euler_criterion_units (x : (ZMod p)ˣ) : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ x ^ (p / 2) = 1 := by by_cases hc : p = 2 · subst hc simp only [eq_iff_true_of_subsingleton, exists_const] · have h₀ := FiniteField.unit_isSquare_iff (by rwa [ringChar_zmod_n]) x have hs : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ IsSquare x := by rw [isSquare_iff_exists_sq x] simp_rw [eq_comm] rw [hs] rwa [card p] at h₀ #align zmod.euler_criterion_units ZMod.euler_criterion_units
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
61
70
theorem euler_criterion {a : ZMod p} (ha : a ≠ 0) : IsSquare (a : ZMod p) ↔ a ^ (p / 2) = 1 := by
apply (iff_congr _ (by simp [Units.ext_iff])).mp (euler_criterion_units p (Units.mk0 a ha)) simp only [Units.ext_iff, sq, Units.val_mk0, Units.val_mul] constructor · rintro ⟨y, hy⟩; exact ⟨y, hy.symm⟩ · rintro ⟨y, rfl⟩ have hy : y ≠ 0 := by rintro rfl simp [zero_pow, mul_zero, ne_eq, not_true] at ha refine ⟨Units.mk0 y hy, ?_⟩; simp
9
8,103.083928
2
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler namespace ZMod variable (p : ℕ) [Fact p.Prime] theorem euler_criterion_units (x : (ZMod p)ˣ) : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ x ^ (p / 2) = 1 := by by_cases hc : p = 2 · subst hc simp only [eq_iff_true_of_subsingleton, exists_const] · have h₀ := FiniteField.unit_isSquare_iff (by rwa [ringChar_zmod_n]) x have hs : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ IsSquare x := by rw [isSquare_iff_exists_sq x] simp_rw [eq_comm] rw [hs] rwa [card p] at h₀ #align zmod.euler_criterion_units ZMod.euler_criterion_units theorem euler_criterion {a : ZMod p} (ha : a ≠ 0) : IsSquare (a : ZMod p) ↔ a ^ (p / 2) = 1 := by apply (iff_congr _ (by simp [Units.ext_iff])).mp (euler_criterion_units p (Units.mk0 a ha)) simp only [Units.ext_iff, sq, Units.val_mk0, Units.val_mul] constructor · rintro ⟨y, hy⟩; exact ⟨y, hy.symm⟩ · rintro ⟨y, rfl⟩ have hy : y ≠ 0 := by rintro rfl simp [zero_pow, mul_zero, ne_eq, not_true] at ha refine ⟨Units.mk0 y hy, ?_⟩; simp #align zmod.euler_criterion ZMod.euler_criterion
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
74
81
theorem pow_div_two_eq_neg_one_or_one {a : ZMod p} (ha : a ≠ 0) : a ^ (p / 2) = 1 ∨ a ^ (p / 2) = -1 := by
cases' Prime.eq_two_or_odd (@Fact.out p.Prime _) with hp2 hp_odd · subst p; revert a ha; intro a; fin_cases a · tauto · simp rw [← mul_self_eq_one_iff, ← pow_add, ← two_mul, two_mul_odd_div_two hp_odd] exact pow_card_sub_one_eq_one ha
6
403.428793
2
1
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839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
116
132
theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by
rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm
16
8,886,110.520508
2
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp]
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
152
152
theorem at_zero : legendreSym p 0 = 0 := by
rw [legendreSym, Int.cast_zero, MulChar.map_zero]
1
2.718282
0
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11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp] theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero] #align legendre_sym.at_zero legendreSym.at_zero @[simp]
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
156
156
theorem at_one : legendreSym p 1 = 1 := by
rw [legendreSym, Int.cast_one, MulChar.map_one]
1
2.718282
0
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp] theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero] #align legendre_sym.at_zero legendreSym.at_zero @[simp] theorem at_one : legendreSym p 1 = 1 := by rw [legendreSym, Int.cast_one, MulChar.map_one] #align legendre_sym.at_one legendreSym.at_one protected theorem mul (a b : ℤ) : legendreSym p (a * b) = legendreSym p a * legendreSym p b := by simp [legendreSym, Int.cast_mul, map_mul, quadraticCharFun_mul] #align legendre_sym.mul legendreSym.mul @[simps] def hom : ℤ →*₀ ℤ where toFun := legendreSym p map_zero' := at_zero p map_one' := at_one p map_mul' := legendreSym.mul p #align legendre_sym.hom legendreSym.hom theorem sq_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a ^ 2 = 1 := quadraticChar_sq_one ha #align legendre_sym.sq_one legendreSym.sq_one
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
179
182
theorem sq_one' {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p (a ^ 2) = 1 := by
dsimp only [legendreSym] rw [Int.cast_pow] exact quadraticChar_sq_one' ha
3
20.085537
1
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp] theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero] #align legendre_sym.at_zero legendreSym.at_zero @[simp] theorem at_one : legendreSym p 1 = 1 := by rw [legendreSym, Int.cast_one, MulChar.map_one] #align legendre_sym.at_one legendreSym.at_one protected theorem mul (a b : ℤ) : legendreSym p (a * b) = legendreSym p a * legendreSym p b := by simp [legendreSym, Int.cast_mul, map_mul, quadraticCharFun_mul] #align legendre_sym.mul legendreSym.mul @[simps] def hom : ℤ →*₀ ℤ where toFun := legendreSym p map_zero' := at_zero p map_one' := at_one p map_mul' := legendreSym.mul p #align legendre_sym.hom legendreSym.hom theorem sq_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a ^ 2 = 1 := quadraticChar_sq_one ha #align legendre_sym.sq_one legendreSym.sq_one theorem sq_one' {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p (a ^ 2) = 1 := by dsimp only [legendreSym] rw [Int.cast_pow] exact quadraticChar_sq_one' ha #align legendre_sym.sq_one' legendreSym.sq_one' protected theorem mod (a : ℤ) : legendreSym p a = legendreSym p (a % p) := by simp only [legendreSym, intCast_mod] #align legendre_sym.mod legendreSym.mod theorem eq_one_iff {a : ℤ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := quadraticChar_one_iff_isSquare ha0 #align legendre_sym.eq_one_iff legendreSym.eq_one_iff
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
195
199
theorem eq_one_iff' {a : ℕ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := by
rw [eq_one_iff] · norm_cast · exact mod_cast ha0
3
20.085537
1
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp] theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero] #align legendre_sym.at_zero legendreSym.at_zero @[simp] theorem at_one : legendreSym p 1 = 1 := by rw [legendreSym, Int.cast_one, MulChar.map_one] #align legendre_sym.at_one legendreSym.at_one protected theorem mul (a b : ℤ) : legendreSym p (a * b) = legendreSym p a * legendreSym p b := by simp [legendreSym, Int.cast_mul, map_mul, quadraticCharFun_mul] #align legendre_sym.mul legendreSym.mul @[simps] def hom : ℤ →*₀ ℤ where toFun := legendreSym p map_zero' := at_zero p map_one' := at_one p map_mul' := legendreSym.mul p #align legendre_sym.hom legendreSym.hom theorem sq_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a ^ 2 = 1 := quadraticChar_sq_one ha #align legendre_sym.sq_one legendreSym.sq_one theorem sq_one' {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p (a ^ 2) = 1 := by dsimp only [legendreSym] rw [Int.cast_pow] exact quadraticChar_sq_one' ha #align legendre_sym.sq_one' legendreSym.sq_one' protected theorem mod (a : ℤ) : legendreSym p a = legendreSym p (a % p) := by simp only [legendreSym, intCast_mod] #align legendre_sym.mod legendreSym.mod theorem eq_one_iff {a : ℤ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := quadraticChar_one_iff_isSquare ha0 #align legendre_sym.eq_one_iff legendreSym.eq_one_iff theorem eq_one_iff' {a : ℕ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := by rw [eq_one_iff] · norm_cast · exact mod_cast ha0 #align legendre_sym.eq_one_iff' legendreSym.eq_one_iff' theorem eq_neg_one_iff {a : ℤ} : legendreSym p a = -1 ↔ ¬IsSquare (a : ZMod p) := quadraticChar_neg_one_iff_not_isSquare #align legendre_sym.eq_neg_one_iff legendreSym.eq_neg_one_iff
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
207
208
theorem eq_neg_one_iff' {a : ℕ} : legendreSym p a = -1 ↔ ¬IsSquare (a : ZMod p) := by
rw [eq_neg_one_iff]; norm_cast
1
2.718282
0
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym section Values variable {p : ℕ} [Fact p.Prime] open ZMod
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
294
296
theorem legendreSym.at_neg_one (hp : p ≠ 2) : legendreSym p (-1) = χ₄ p := by
simp only [legendreSym, card p, quadraticChar_neg_one ((ringChar_zmod_n p).substr hp), Int.cast_neg, Int.cast_one]
2
7.389056
1
1
11
839
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym section Values variable {p : ℕ} [Fact p.Prime] open ZMod theorem legendreSym.at_neg_one (hp : p ≠ 2) : legendreSym p (-1) = χ₄ p := by simp only [legendreSym, card p, quadraticChar_neg_one ((ringChar_zmod_n p).substr hp), Int.cast_neg, Int.cast_one] #align legendre_sym.at_neg_one legendreSym.at_neg_one namespace ZMod
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
302
303
theorem exists_sq_eq_neg_one_iff : IsSquare (-1 : ZMod p) ↔ p % 4 ≠ 3 := by
rw [FiniteField.isSquare_neg_one_iff, card p]
1
2.718282
0
1
11
839
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.Topology.Algebra.Module.WeakDual #align_import analysis.locally_convex.polar from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" variable {𝕜 E F : Type*} open Topology namespace LinearMap section NormedRing variable [NormedCommRing 𝕜] [AddCommMonoid E] [AddCommMonoid F] variable [Module 𝕜 E] [Module 𝕜 F] variable (B : E →ₗ[𝕜] F →ₗ[𝕜] 𝕜) def polar (s : Set E) : Set F := { y : F | ∀ x ∈ s, ‖B x y‖ ≤ 1 } #align linear_map.polar LinearMap.polar theorem polar_mem_iff (s : Set E) (y : F) : y ∈ B.polar s ↔ ∀ x ∈ s, ‖B x y‖ ≤ 1 := Iff.rfl #align linear_map.polar_mem_iff LinearMap.polar_mem_iff theorem polar_mem (s : Set E) (y : F) (hy : y ∈ B.polar s) : ∀ x ∈ s, ‖B x y‖ ≤ 1 := hy #align linear_map.polar_mem LinearMap.polar_mem @[simp] theorem zero_mem_polar (s : Set E) : (0 : F) ∈ B.polar s := fun _ _ => by simp only [map_zero, norm_zero, zero_le_one] #align linear_map.zero_mem_polar LinearMap.zero_mem_polar
Mathlib/Analysis/LocallyConvex/Polar.lean
73
75
theorem polar_eq_iInter {s : Set E} : B.polar s = ⋂ x ∈ s, { y : F | ‖B x y‖ ≤ 1 } := by
ext simp only [polar_mem_iff, Set.mem_iInter, Set.mem_setOf_eq]
2
7.389056
1
1
3
840
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.Topology.Algebra.Module.WeakDual #align_import analysis.locally_convex.polar from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" variable {𝕜 E F : Type*} open Topology namespace LinearMap section NormedRing variable [NormedCommRing 𝕜] [AddCommMonoid E] [AddCommMonoid F] variable [Module 𝕜 E] [Module 𝕜 F] variable (B : E →ₗ[𝕜] F →ₗ[𝕜] 𝕜) def polar (s : Set E) : Set F := { y : F | ∀ x ∈ s, ‖B x y‖ ≤ 1 } #align linear_map.polar LinearMap.polar theorem polar_mem_iff (s : Set E) (y : F) : y ∈ B.polar s ↔ ∀ x ∈ s, ‖B x y‖ ≤ 1 := Iff.rfl #align linear_map.polar_mem_iff LinearMap.polar_mem_iff theorem polar_mem (s : Set E) (y : F) (hy : y ∈ B.polar s) : ∀ x ∈ s, ‖B x y‖ ≤ 1 := hy #align linear_map.polar_mem LinearMap.polar_mem @[simp] theorem zero_mem_polar (s : Set E) : (0 : F) ∈ B.polar s := fun _ _ => by simp only [map_zero, norm_zero, zero_le_one] #align linear_map.zero_mem_polar LinearMap.zero_mem_polar theorem polar_eq_iInter {s : Set E} : B.polar s = ⋂ x ∈ s, { y : F | ‖B x y‖ ≤ 1 } := by ext simp only [polar_mem_iff, Set.mem_iInter, Set.mem_setOf_eq] #align linear_map.polar_eq_Inter LinearMap.polar_eq_iInter theorem polar_gc : GaloisConnection (OrderDual.toDual ∘ B.polar) (B.flip.polar ∘ OrderDual.ofDual) := fun _ _ => ⟨fun h _ hx _ hy => h hy _ hx, fun h _ hx _ hy => h hy _ hx⟩ #align linear_map.polar_gc LinearMap.polar_gc @[simp] theorem polar_iUnion {ι} {s : ι → Set E} : B.polar (⋃ i, s i) = ⋂ i, B.polar (s i) := B.polar_gc.l_iSup #align linear_map.polar_Union LinearMap.polar_iUnion @[simp] theorem polar_union {s t : Set E} : B.polar (s ∪ t) = B.polar s ∩ B.polar t := B.polar_gc.l_sup #align linear_map.polar_union LinearMap.polar_union theorem polar_antitone : Antitone (B.polar : Set E → Set F) := B.polar_gc.monotone_l #align linear_map.polar_antitone LinearMap.polar_antitone @[simp] theorem polar_empty : B.polar ∅ = Set.univ := B.polar_gc.l_bot #align linear_map.polar_empty LinearMap.polar_empty @[simp]
Mathlib/Analysis/LocallyConvex/Polar.lean
106
109
theorem polar_zero : B.polar ({0} : Set E) = Set.univ := by
refine Set.eq_univ_iff_forall.mpr fun y x hx => ?_ rw [Set.mem_singleton_iff.mp hx, map_zero, LinearMap.zero_apply, norm_zero] exact zero_le_one
3
20.085537
1
1
3
840
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.Topology.Algebra.Module.WeakDual #align_import analysis.locally_convex.polar from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" variable {𝕜 E F : Type*} open Topology namespace LinearMap section NormedRing variable [NormedCommRing 𝕜] [AddCommMonoid E] [AddCommMonoid F] variable [Module 𝕜 E] [Module 𝕜 F] variable (B : E →ₗ[𝕜] F →ₗ[𝕜] 𝕜) def polar (s : Set E) : Set F := { y : F | ∀ x ∈ s, ‖B x y‖ ≤ 1 } #align linear_map.polar LinearMap.polar theorem polar_mem_iff (s : Set E) (y : F) : y ∈ B.polar s ↔ ∀ x ∈ s, ‖B x y‖ ≤ 1 := Iff.rfl #align linear_map.polar_mem_iff LinearMap.polar_mem_iff theorem polar_mem (s : Set E) (y : F) (hy : y ∈ B.polar s) : ∀ x ∈ s, ‖B x y‖ ≤ 1 := hy #align linear_map.polar_mem LinearMap.polar_mem @[simp] theorem zero_mem_polar (s : Set E) : (0 : F) ∈ B.polar s := fun _ _ => by simp only [map_zero, norm_zero, zero_le_one] #align linear_map.zero_mem_polar LinearMap.zero_mem_polar theorem polar_eq_iInter {s : Set E} : B.polar s = ⋂ x ∈ s, { y : F | ‖B x y‖ ≤ 1 } := by ext simp only [polar_mem_iff, Set.mem_iInter, Set.mem_setOf_eq] #align linear_map.polar_eq_Inter LinearMap.polar_eq_iInter theorem polar_gc : GaloisConnection (OrderDual.toDual ∘ B.polar) (B.flip.polar ∘ OrderDual.ofDual) := fun _ _ => ⟨fun h _ hx _ hy => h hy _ hx, fun h _ hx _ hy => h hy _ hx⟩ #align linear_map.polar_gc LinearMap.polar_gc @[simp] theorem polar_iUnion {ι} {s : ι → Set E} : B.polar (⋃ i, s i) = ⋂ i, B.polar (s i) := B.polar_gc.l_iSup #align linear_map.polar_Union LinearMap.polar_iUnion @[simp] theorem polar_union {s t : Set E} : B.polar (s ∪ t) = B.polar s ∩ B.polar t := B.polar_gc.l_sup #align linear_map.polar_union LinearMap.polar_union theorem polar_antitone : Antitone (B.polar : Set E → Set F) := B.polar_gc.monotone_l #align linear_map.polar_antitone LinearMap.polar_antitone @[simp] theorem polar_empty : B.polar ∅ = Set.univ := B.polar_gc.l_bot #align linear_map.polar_empty LinearMap.polar_empty @[simp] theorem polar_zero : B.polar ({0} : Set E) = Set.univ := by refine Set.eq_univ_iff_forall.mpr fun y x hx => ?_ rw [Set.mem_singleton_iff.mp hx, map_zero, LinearMap.zero_apply, norm_zero] exact zero_le_one #align linear_map.polar_zero LinearMap.polar_zero theorem subset_bipolar (s : Set E) : s ⊆ B.flip.polar (B.polar s) := fun x hx y hy => by rw [B.flip_apply] exact hy x hx #align linear_map.subset_bipolar LinearMap.subset_bipolar @[simp] theorem tripolar_eq_polar (s : Set E) : B.polar (B.flip.polar (B.polar s)) = B.polar s := (B.polar_antitone (B.subset_bipolar s)).antisymm (subset_bipolar B.flip (B.polar s)) #align linear_map.tripolar_eq_polar LinearMap.tripolar_eq_polar
Mathlib/Analysis/LocallyConvex/Polar.lean
123
127
theorem polar_weak_closed (s : Set E) : IsClosed[WeakBilin.instTopologicalSpace B.flip] (B.polar s) := by
rw [polar_eq_iInter] refine isClosed_iInter fun x => isClosed_iInter fun _ => ?_ exact isClosed_le (WeakBilin.eval_continuous B.flip x).norm continuous_const
3
20.085537
1
1
3
840
import Mathlib.FieldTheory.Minpoly.Field import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.Algebra.Polynomial.Module.AEval open Polynomial variable {R K M A : Type*} {a : A} namespace Module.AEval
Mathlib/Algebra/Polynomial/Module/FiniteDimensional.lean
29
34
theorem isTorsion_of_aeval_eq_zero [CommSemiring R] [NoZeroDivisors R] [Semiring A] [Algebra R A] [AddCommMonoid M] [Module A M] [Module R M] [IsScalarTower R A M] {p : R[X]} (h : aeval a p = 0) (h' : p ≠ 0) : IsTorsion R[X] (AEval R M a) := by
have hp : p ∈ nonZeroDivisors R[X] := fun q hq ↦ Or.resolve_right (mul_eq_zero.mp hq) h' exact fun x ↦ ⟨⟨p, hp⟩, (of R M a).symm.injective <| by simp [h]⟩
2
7.389056
1
1
1
841
import Mathlib.Analysis.NormedSpace.Exponential #align_import analysis.normed_space.star.exponential from "leanprover-community/mathlib"@"1e3201306d4d9eb1fd54c60d7c4510ad5126f6f9" open NormedSpace -- For `NormedSpace.exp`. section Star variable {A : Type*} [NormedRing A] [NormedAlgebra ℂ A] [StarRing A] [ContinuousStar A] [CompleteSpace A] [StarModule ℂ A] open Complex @[simps] noncomputable def selfAdjoint.expUnitary (a : selfAdjoint A) : unitary A := ⟨exp ℂ ((I • a.val) : A), exp_mem_unitary_of_mem_skewAdjoint _ (a.prop.smul_mem_skewAdjoint conj_I)⟩ #align self_adjoint.exp_unitary selfAdjoint.expUnitary open selfAdjoint
Mathlib/Analysis/NormedSpace/Star/Exponential.lean
42
48
theorem Commute.expUnitary_add {a b : selfAdjoint A} (h : Commute (a : A) (b : A)) : expUnitary (a + b) = expUnitary a * expUnitary b := by
ext have hcomm : Commute (I • (a : A)) (I • (b : A)) := by unfold Commute SemiconjBy simp only [h.eq, Algebra.smul_mul_assoc, Algebra.mul_smul_comm] simpa only [expUnitary_coe, AddSubgroup.coe_add, smul_add] using exp_add_of_commute hcomm
5
148.413159
2
1
2
842
import Mathlib.Analysis.NormedSpace.Exponential #align_import analysis.normed_space.star.exponential from "leanprover-community/mathlib"@"1e3201306d4d9eb1fd54c60d7c4510ad5126f6f9" open NormedSpace -- For `NormedSpace.exp`. section Star variable {A : Type*} [NormedRing A] [NormedAlgebra ℂ A] [StarRing A] [ContinuousStar A] [CompleteSpace A] [StarModule ℂ A] open Complex @[simps] noncomputable def selfAdjoint.expUnitary (a : selfAdjoint A) : unitary A := ⟨exp ℂ ((I • a.val) : A), exp_mem_unitary_of_mem_skewAdjoint _ (a.prop.smul_mem_skewAdjoint conj_I)⟩ #align self_adjoint.exp_unitary selfAdjoint.expUnitary open selfAdjoint theorem Commute.expUnitary_add {a b : selfAdjoint A} (h : Commute (a : A) (b : A)) : expUnitary (a + b) = expUnitary a * expUnitary b := by ext have hcomm : Commute (I • (a : A)) (I • (b : A)) := by unfold Commute SemiconjBy simp only [h.eq, Algebra.smul_mul_assoc, Algebra.mul_smul_comm] simpa only [expUnitary_coe, AddSubgroup.coe_add, smul_add] using exp_add_of_commute hcomm #align commute.exp_unitary_add Commute.expUnitary_add
Mathlib/Analysis/NormedSpace/Star/Exponential.lean
51
56
theorem Commute.expUnitary {a b : selfAdjoint A} (h : Commute (a : A) (b : A)) : Commute (expUnitary a) (expUnitary b) := calc selfAdjoint.expUnitary a * selfAdjoint.expUnitary b = selfAdjoint.expUnitary b * selfAdjoint.expUnitary a := by
rw [← h.expUnitary_add, ← h.symm.expUnitary_add, add_comm]
1
2.718282
0
1
2
842
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply
Mathlib/RingTheory/Trace.lean
102
103
theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by
ext s; simp [trace_apply, LinearMap.trace, h]
1
2.718282
0
1
8
843
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h] #align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis variable {R} -- Can't be a `simp` lemma because it depends on a choice of basis
Mathlib/RingTheory/Trace.lean
109
111
theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) : trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by
rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl
1
2.718282
0
1
8
843
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h] #align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis variable {R} -- Can't be a `simp` lemma because it depends on a choice of basis theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) : trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl #align algebra.trace_eq_matrix_trace Algebra.trace_eq_matrix_trace
Mathlib/RingTheory/Trace.lean
115
119
theorem trace_algebraMap_of_basis (x : R) : trace R S (algebraMap R S x) = Fintype.card ι • x := by
haveI := Classical.decEq ι rw [trace_apply, LinearMap.trace_eq_matrix_trace R b, Matrix.trace] convert Finset.sum_const x simp [-coe_lmul_eq_mul]
4
54.59815
2
1
8
843
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h] #align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis variable {R} -- Can't be a `simp` lemma because it depends on a choice of basis theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) : trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl #align algebra.trace_eq_matrix_trace Algebra.trace_eq_matrix_trace theorem trace_algebraMap_of_basis (x : R) : trace R S (algebraMap R S x) = Fintype.card ι • x := by haveI := Classical.decEq ι rw [trace_apply, LinearMap.trace_eq_matrix_trace R b, Matrix.trace] convert Finset.sum_const x simp [-coe_lmul_eq_mul] #align algebra.trace_algebra_map_of_basis Algebra.trace_algebraMap_of_basis @[simp]
Mathlib/RingTheory/Trace.lean
128
131
theorem trace_algebraMap (x : K) : trace K L (algebraMap K L x) = finrank K L • x := by
by_cases H : ∃ s : Finset L, Nonempty (Basis s K L) · rw [trace_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some] · simp [trace_eq_zero_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis_finset H]
3
20.085537
1
1
8
843