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import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Analysis.Normed.MulAction import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.PartialHomeomorph #align_import analysis.asymptotics.asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Classical open Topology Filter NNReal namespace Asymptotics set_option linter.uppercaseLean3 false variable {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*} {E' : Type*} {F' : Type*} {G' : Type*} {E'' : Type*} {F'' : Type*} {G'' : Type*} {E''' : Type*} {R : Type*} {R' : Type*} {𝕜 : Type*} {𝕜' : Type*} variable [Norm E] [Norm F] [Norm G] variable [SeminormedAddCommGroup E'] [SeminormedAddCommGroup F'] [SeminormedAddCommGroup G'] [NormedAddCommGroup E''] [NormedAddCommGroup F''] [NormedAddCommGroup G''] [SeminormedRing R] [SeminormedAddGroup E'''] [SeminormedRing R'] variable [NormedDivisionRing 𝕜] [NormedDivisionRing 𝕜'] variable {c c' c₁ c₂ : ℝ} {f : α → E} {g : α → F} {k : α → G} variable {f' : α → E'} {g' : α → F'} {k' : α → G'} variable {f'' : α → E''} {g'' : α → F''} {k'' : α → G''} variable {l l' : Filter α} section Defs irreducible_def IsBigOWith (c : ℝ) (l : Filter α) (f : α → E) (g : α → F) : Prop := ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ #align asymptotics.is_O_with Asymptotics.IsBigOWith theorem isBigOWith_iff : IsBigOWith c l f g ↔ ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by rw [IsBigOWith_def] #align asymptotics.is_O_with_iff Asymptotics.isBigOWith_iff alias ⟨IsBigOWith.bound, IsBigOWith.of_bound⟩ := isBigOWith_iff #align asymptotics.is_O_with.bound Asymptotics.IsBigOWith.bound #align asymptotics.is_O_with.of_bound Asymptotics.IsBigOWith.of_bound irreducible_def IsBigO (l : Filter α) (f : α → E) (g : α → F) : Prop := ∃ c : ℝ, IsBigOWith c l f g #align asymptotics.is_O Asymptotics.IsBigO @[inherit_doc] notation:100 f " =O[" l "] " g:100 => IsBigO l f g
Mathlib/Analysis/Asymptotics/Asymptotics.lean
109
109
theorem isBigO_iff_isBigOWith : f =O[l] g ↔ ∃ c : ℝ, IsBigOWith c l f g := by
rw [IsBigO_def]
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import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Analysis.Normed.MulAction import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.PartialHomeomorph #align_import analysis.asymptotics.asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Classical open Topology Filter NNReal namespace Asymptotics set_option linter.uppercaseLean3 false variable {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*} {E' : Type*} {F' : Type*} {G' : Type*} {E'' : Type*} {F'' : Type*} {G'' : Type*} {E''' : Type*} {R : Type*} {R' : Type*} {𝕜 : Type*} {𝕜' : Type*} variable [Norm E] [Norm F] [Norm G] variable [SeminormedAddCommGroup E'] [SeminormedAddCommGroup F'] [SeminormedAddCommGroup G'] [NormedAddCommGroup E''] [NormedAddCommGroup F''] [NormedAddCommGroup G''] [SeminormedRing R] [SeminormedAddGroup E'''] [SeminormedRing R'] variable [NormedDivisionRing 𝕜] [NormedDivisionRing 𝕜'] variable {c c' c₁ c₂ : ℝ} {f : α → E} {g : α → F} {k : α → G} variable {f' : α → E'} {g' : α → F'} {k' : α → G'} variable {f'' : α → E''} {g'' : α → F''} {k'' : α → G''} variable {l l' : Filter α} section Defs irreducible_def IsBigOWith (c : ℝ) (l : Filter α) (f : α → E) (g : α → F) : Prop := ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ #align asymptotics.is_O_with Asymptotics.IsBigOWith theorem isBigOWith_iff : IsBigOWith c l f g ↔ ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by rw [IsBigOWith_def] #align asymptotics.is_O_with_iff Asymptotics.isBigOWith_iff alias ⟨IsBigOWith.bound, IsBigOWith.of_bound⟩ := isBigOWith_iff #align asymptotics.is_O_with.bound Asymptotics.IsBigOWith.bound #align asymptotics.is_O_with.of_bound Asymptotics.IsBigOWith.of_bound irreducible_def IsBigO (l : Filter α) (f : α → E) (g : α → F) : Prop := ∃ c : ℝ, IsBigOWith c l f g #align asymptotics.is_O Asymptotics.IsBigO @[inherit_doc] notation:100 f " =O[" l "] " g:100 => IsBigO l f g theorem isBigO_iff_isBigOWith : f =O[l] g ↔ ∃ c : ℝ, IsBigOWith c l f g := by rw [IsBigO_def] #align asymptotics.is_O_iff_is_O_with Asymptotics.isBigO_iff_isBigOWith
Mathlib/Analysis/Asymptotics/Asymptotics.lean
113
114
theorem isBigO_iff : f =O[l] g ↔ ∃ c : ℝ, ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by
simp only [IsBigO_def, IsBigOWith_def]
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import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Analysis.Normed.MulAction import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.PartialHomeomorph #align_import analysis.asymptotics.asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Classical open Topology Filter NNReal namespace Asymptotics set_option linter.uppercaseLean3 false variable {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*} {E' : Type*} {F' : Type*} {G' : Type*} {E'' : Type*} {F'' : Type*} {G'' : Type*} {E''' : Type*} {R : Type*} {R' : Type*} {𝕜 : Type*} {𝕜' : Type*} variable [Norm E] [Norm F] [Norm G] variable [SeminormedAddCommGroup E'] [SeminormedAddCommGroup F'] [SeminormedAddCommGroup G'] [NormedAddCommGroup E''] [NormedAddCommGroup F''] [NormedAddCommGroup G''] [SeminormedRing R] [SeminormedAddGroup E'''] [SeminormedRing R'] variable [NormedDivisionRing 𝕜] [NormedDivisionRing 𝕜'] variable {c c' c₁ c₂ : ℝ} {f : α → E} {g : α → F} {k : α → G} variable {f' : α → E'} {g' : α → F'} {k' : α → G'} variable {f'' : α → E''} {g'' : α → F''} {k'' : α → G''} variable {l l' : Filter α} section Defs irreducible_def IsBigOWith (c : ℝ) (l : Filter α) (f : α → E) (g : α → F) : Prop := ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ #align asymptotics.is_O_with Asymptotics.IsBigOWith theorem isBigOWith_iff : IsBigOWith c l f g ↔ ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by rw [IsBigOWith_def] #align asymptotics.is_O_with_iff Asymptotics.isBigOWith_iff alias ⟨IsBigOWith.bound, IsBigOWith.of_bound⟩ := isBigOWith_iff #align asymptotics.is_O_with.bound Asymptotics.IsBigOWith.bound #align asymptotics.is_O_with.of_bound Asymptotics.IsBigOWith.of_bound irreducible_def IsBigO (l : Filter α) (f : α → E) (g : α → F) : Prop := ∃ c : ℝ, IsBigOWith c l f g #align asymptotics.is_O Asymptotics.IsBigO @[inherit_doc] notation:100 f " =O[" l "] " g:100 => IsBigO l f g theorem isBigO_iff_isBigOWith : f =O[l] g ↔ ∃ c : ℝ, IsBigOWith c l f g := by rw [IsBigO_def] #align asymptotics.is_O_iff_is_O_with Asymptotics.isBigO_iff_isBigOWith theorem isBigO_iff : f =O[l] g ↔ ∃ c : ℝ, ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by simp only [IsBigO_def, IsBigOWith_def] #align asymptotics.is_O_iff Asymptotics.isBigO_iff
Mathlib/Analysis/Asymptotics/Asymptotics.lean
118
132
theorem isBigO_iff' {g : α → E'''} : f =O[l] g ↔ ∃ c > 0, ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by
refine ⟨fun h => ?mp, fun h => ?mpr⟩ case mp => rw [isBigO_iff] at h obtain ⟨c, hc⟩ := h refine ⟨max c 1, zero_lt_one.trans_le (le_max_right _ _), ?_⟩ filter_upwards [hc] with x hx apply hx.trans gcongr exact le_max_left _ _ case mpr => rw [isBigO_iff] obtain ⟨c, ⟨_, hc⟩⟩ := h exact ⟨c, hc⟩
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import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Analysis.Normed.MulAction import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.PartialHomeomorph #align_import analysis.asymptotics.asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Classical open Topology Filter NNReal namespace Asymptotics set_option linter.uppercaseLean3 false variable {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*} {E' : Type*} {F' : Type*} {G' : Type*} {E'' : Type*} {F'' : Type*} {G'' : Type*} {E''' : Type*} {R : Type*} {R' : Type*} {𝕜 : Type*} {𝕜' : Type*} variable [Norm E] [Norm F] [Norm G] variable [SeminormedAddCommGroup E'] [SeminormedAddCommGroup F'] [SeminormedAddCommGroup G'] [NormedAddCommGroup E''] [NormedAddCommGroup F''] [NormedAddCommGroup G''] [SeminormedRing R] [SeminormedAddGroup E'''] [SeminormedRing R'] variable [NormedDivisionRing 𝕜] [NormedDivisionRing 𝕜'] variable {c c' c₁ c₂ : ℝ} {f : α → E} {g : α → F} {k : α → G} variable {f' : α → E'} {g' : α → F'} {k' : α → G'} variable {f'' : α → E''} {g'' : α → F''} {k'' : α → G''} variable {l l' : Filter α} section Defs irreducible_def IsBigOWith (c : ℝ) (l : Filter α) (f : α → E) (g : α → F) : Prop := ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ #align asymptotics.is_O_with Asymptotics.IsBigOWith theorem isBigOWith_iff : IsBigOWith c l f g ↔ ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by rw [IsBigOWith_def] #align asymptotics.is_O_with_iff Asymptotics.isBigOWith_iff alias ⟨IsBigOWith.bound, IsBigOWith.of_bound⟩ := isBigOWith_iff #align asymptotics.is_O_with.bound Asymptotics.IsBigOWith.bound #align asymptotics.is_O_with.of_bound Asymptotics.IsBigOWith.of_bound irreducible_def IsBigO (l : Filter α) (f : α → E) (g : α → F) : Prop := ∃ c : ℝ, IsBigOWith c l f g #align asymptotics.is_O Asymptotics.IsBigO @[inherit_doc] notation:100 f " =O[" l "] " g:100 => IsBigO l f g theorem isBigO_iff_isBigOWith : f =O[l] g ↔ ∃ c : ℝ, IsBigOWith c l f g := by rw [IsBigO_def] #align asymptotics.is_O_iff_is_O_with Asymptotics.isBigO_iff_isBigOWith theorem isBigO_iff : f =O[l] g ↔ ∃ c : ℝ, ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by simp only [IsBigO_def, IsBigOWith_def] #align asymptotics.is_O_iff Asymptotics.isBigO_iff theorem isBigO_iff' {g : α → E'''} : f =O[l] g ↔ ∃ c > 0, ∀ᶠ x in l, ‖f x‖ ≤ c * ‖g x‖ := by refine ⟨fun h => ?mp, fun h => ?mpr⟩ case mp => rw [isBigO_iff] at h obtain ⟨c, hc⟩ := h refine ⟨max c 1, zero_lt_one.trans_le (le_max_right _ _), ?_⟩ filter_upwards [hc] with x hx apply hx.trans gcongr exact le_max_left _ _ case mpr => rw [isBigO_iff] obtain ⟨c, ⟨_, hc⟩⟩ := h exact ⟨c, hc⟩
Mathlib/Analysis/Asymptotics/Asymptotics.lean
135
149
theorem isBigO_iff'' {g : α → E'''} : f =O[l] g ↔ ∃ c > 0, ∀ᶠ x in l, c * ‖f x‖ ≤ ‖g x‖ := by
refine ⟨fun h => ?mp, fun h => ?mpr⟩ case mp => rw [isBigO_iff'] at h obtain ⟨c, ⟨hc_pos, hc⟩⟩ := h refine ⟨c⁻¹, ⟨by positivity, ?_⟩⟩ filter_upwards [hc] with x hx rwa [inv_mul_le_iff (by positivity)] case mpr => rw [isBigO_iff'] obtain ⟨c, ⟨hc_pos, hc⟩⟩ := h refine ⟨c⁻¹, ⟨by positivity, ?_⟩⟩ filter_upwards [hc] with x hx rwa [← inv_inv c, inv_mul_le_iff (by positivity)] at hx
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import Mathlib.Algebra.Module.Submodule.Basic import Mathlib.Topology.Algebra.Monoid import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Algebra.Algebra.Pi #align_import order.filter.zero_and_bounded_at_filter from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Filter variable {𝕜 α β : Type*} open Topology def ZeroAtFilter [Zero β] [TopologicalSpace β] (l : Filter α) (f : α → β) : Prop := Filter.Tendsto f l (𝓝 0) #align filter.zero_at_filter Filter.ZeroAtFilter theorem zero_zeroAtFilter [Zero β] [TopologicalSpace β] (l : Filter α) : ZeroAtFilter l (0 : α → β) := tendsto_const_nhds #align filter.zero_zero_at_filter Filter.zero_zeroAtFilter nonrec theorem ZeroAtFilter.add [TopologicalSpace β] [AddZeroClass β] [ContinuousAdd β] {l : Filter α} {f g : α → β} (hf : ZeroAtFilter l f) (hg : ZeroAtFilter l g) : ZeroAtFilter l (f + g) := by simpa using hf.add hg #align filter.zero_at_filter.add Filter.ZeroAtFilter.add nonrec theorem ZeroAtFilter.neg [TopologicalSpace β] [AddGroup β] [ContinuousNeg β] {l : Filter α} {f : α → β} (hf : ZeroAtFilter l f) : ZeroAtFilter l (-f) := by simpa using hf.neg #align filter.zero_at_filter.neg Filter.ZeroAtFilter.neg
Mathlib/Order/Filter/ZeroAndBoundedAtFilter.lean
51
53
theorem ZeroAtFilter.smul [TopologicalSpace β] [Zero 𝕜] [Zero β] [SMulWithZero 𝕜 β] [ContinuousConstSMul 𝕜 β] {l : Filter α} {f : α → β} (c : 𝕜) (hf : ZeroAtFilter l f) : ZeroAtFilter l (c • f) := by
simpa using hf.const_smul c
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import Mathlib.Algebra.Module.Submodule.Basic import Mathlib.Topology.Algebra.Monoid import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Algebra.Algebra.Pi #align_import order.filter.zero_and_bounded_at_filter from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Filter variable {𝕜 α β : Type*} open Topology def ZeroAtFilter [Zero β] [TopologicalSpace β] (l : Filter α) (f : α → β) : Prop := Filter.Tendsto f l (𝓝 0) #align filter.zero_at_filter Filter.ZeroAtFilter theorem zero_zeroAtFilter [Zero β] [TopologicalSpace β] (l : Filter α) : ZeroAtFilter l (0 : α → β) := tendsto_const_nhds #align filter.zero_zero_at_filter Filter.zero_zeroAtFilter nonrec theorem ZeroAtFilter.add [TopologicalSpace β] [AddZeroClass β] [ContinuousAdd β] {l : Filter α} {f g : α → β} (hf : ZeroAtFilter l f) (hg : ZeroAtFilter l g) : ZeroAtFilter l (f + g) := by simpa using hf.add hg #align filter.zero_at_filter.add Filter.ZeroAtFilter.add nonrec theorem ZeroAtFilter.neg [TopologicalSpace β] [AddGroup β] [ContinuousNeg β] {l : Filter α} {f : α → β} (hf : ZeroAtFilter l f) : ZeroAtFilter l (-f) := by simpa using hf.neg #align filter.zero_at_filter.neg Filter.ZeroAtFilter.neg theorem ZeroAtFilter.smul [TopologicalSpace β] [Zero 𝕜] [Zero β] [SMulWithZero 𝕜 β] [ContinuousConstSMul 𝕜 β] {l : Filter α} {f : α → β} (c : 𝕜) (hf : ZeroAtFilter l f) : ZeroAtFilter l (c • f) := by simpa using hf.const_smul c #align filter.zero_at_filter.smul Filter.ZeroAtFilter.smul variable (𝕜) in def zeroAtFilterSubmodule [TopologicalSpace β] [Semiring 𝕜] [AddCommMonoid β] [Module 𝕜 β] [ContinuousAdd β] [ContinuousConstSMul 𝕜 β] (l : Filter α) : Submodule 𝕜 (α → β) where carrier := ZeroAtFilter l zero_mem' := zero_zeroAtFilter l add_mem' ha hb := ha.add hb smul_mem' c _ hf := hf.smul c #align filter.zero_at_filter_submodule Filter.zeroAtFilterSubmodule def zeroAtFilterAddSubmonoid [TopologicalSpace β] [AddZeroClass β] [ContinuousAdd β] (l : Filter α) : AddSubmonoid (α → β) where carrier := ZeroAtFilter l add_mem' ha hb := ha.add hb zero_mem' := zero_zeroAtFilter l #align filter.zero_at_filter_add_submonoid Filter.zeroAtFilterAddSubmonoid def BoundedAtFilter [Norm β] (l : Filter α) (f : α → β) : Prop := Asymptotics.IsBigO l f (1 : α → ℝ) #align filter.bounded_at_filter Filter.BoundedAtFilter
Mathlib/Order/Filter/ZeroAndBoundedAtFilter.lean
84
87
theorem ZeroAtFilter.boundedAtFilter [NormedAddCommGroup β] {l : Filter α} {f : α → β} (hf : ZeroAtFilter l f) : BoundedAtFilter l f := by
rw [ZeroAtFilter, ← Asymptotics.isLittleO_const_iff (one_ne_zero' ℝ)] at hf exact hf.isBigO
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import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
89
91
theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by
convert h.isLittleO.right_isBigO_add simp
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import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl]
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
102
104
theorem IsEquivalent.refl : u ~[l] u := by
rw [IsEquivalent, sub_self] exact isLittleO_zero _ _
1,429
import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl] theorem IsEquivalent.refl : u ~[l] u := by rw [IsEquivalent, sub_self] exact isLittleO_zero _ _ #align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl @[symm] theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u := (h.isLittleO.trans_isBigO h.isBigO_symm).symm #align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm @[trans] theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) : u ~[l] w := (huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO #align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) : w ~[l] v := huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _) #align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) : u ~[l] w := (huv.symm.congr_left hvw).symm #align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
128
130
theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by
rw [IsEquivalent, sub_zero] exact isLittleO_zero_right_iff
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import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl] theorem IsEquivalent.refl : u ~[l] u := by rw [IsEquivalent, sub_self] exact isLittleO_zero _ _ #align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl @[symm] theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u := (h.isLittleO.trans_isBigO h.isBigO_symm).symm #align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm @[trans] theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) : u ~[l] w := (huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO #align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) : w ~[l] v := huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _) #align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) : u ~[l] w := (huv.symm.congr_left hvw).symm #align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by rw [IsEquivalent, sub_zero] exact isLittleO_zero_right_iff #align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
133
136
theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩ rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem] exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
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import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl] theorem IsEquivalent.refl : u ~[l] u := by rw [IsEquivalent, sub_self] exact isLittleO_zero _ _ #align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl @[symm] theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u := (h.isLittleO.trans_isBigO h.isBigO_symm).symm #align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm @[trans] theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) : u ~[l] w := (huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO #align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) : w ~[l] v := huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _) #align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) : u ~[l] w := (huv.symm.congr_left hvw).symm #align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by rw [IsEquivalent, sub_zero] exact isLittleO_zero_right_iff #align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩ rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem] exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩ set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent_zero_iff_is_O_zero Asymptotics.isEquivalent_zero_iff_isBigO_zero
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
140
148
theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) : u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by
simp (config := { unfoldPartialApp := true }) only [IsEquivalent, const, isLittleO_const_iff h] constructor <;> intro h · have := h.sub (tendsto_const_nhds (x := -c)) simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this exact this · have := h.sub (tendsto_const_nhds (x := c)) rwa [sub_self] at this
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import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl] theorem IsEquivalent.refl : u ~[l] u := by rw [IsEquivalent, sub_self] exact isLittleO_zero _ _ #align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl @[symm] theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u := (h.isLittleO.trans_isBigO h.isBigO_symm).symm #align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm @[trans] theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) : u ~[l] w := (huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO #align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) : w ~[l] v := huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _) #align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) : u ~[l] w := (huv.symm.congr_left hvw).symm #align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by rw [IsEquivalent, sub_zero] exact isLittleO_zero_right_iff #align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩ rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem] exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩ set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent_zero_iff_is_O_zero Asymptotics.isEquivalent_zero_iff_isBigO_zero theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) : u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by simp (config := { unfoldPartialApp := true }) only [IsEquivalent, const, isLittleO_const_iff h] constructor <;> intro h · have := h.sub (tendsto_const_nhds (x := -c)) simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this exact this · have := h.sub (tendsto_const_nhds (x := c)) rwa [sub_self] at this #align asymptotics.is_equivalent_const_iff_tendsto Asymptotics.isEquivalent_const_iff_tendsto
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
151
154
theorem IsEquivalent.tendsto_const {c : β} (hu : u ~[l] const _ c) : Tendsto u l (𝓝 c) := by
rcases em <| c = 0 with rfl | h · exact (tendsto_congr' <| isEquivalent_zero_iff_eventually_zero.mp hu).mpr tendsto_const_nhds · exact (isEquivalent_const_iff_tendsto h).mp hu
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import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl] theorem IsEquivalent.refl : u ~[l] u := by rw [IsEquivalent, sub_self] exact isLittleO_zero _ _ #align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl @[symm] theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u := (h.isLittleO.trans_isBigO h.isBigO_symm).symm #align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm @[trans] theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) : u ~[l] w := (huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO #align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) : w ~[l] v := huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _) #align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) : u ~[l] w := (huv.symm.congr_left hvw).symm #align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by rw [IsEquivalent, sub_zero] exact isLittleO_zero_right_iff #align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩ rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem] exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩ set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent_zero_iff_is_O_zero Asymptotics.isEquivalent_zero_iff_isBigO_zero theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) : u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by simp (config := { unfoldPartialApp := true }) only [IsEquivalent, const, isLittleO_const_iff h] constructor <;> intro h · have := h.sub (tendsto_const_nhds (x := -c)) simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this exact this · have := h.sub (tendsto_const_nhds (x := c)) rwa [sub_self] at this #align asymptotics.is_equivalent_const_iff_tendsto Asymptotics.isEquivalent_const_iff_tendsto theorem IsEquivalent.tendsto_const {c : β} (hu : u ~[l] const _ c) : Tendsto u l (𝓝 c) := by rcases em <| c = 0 with rfl | h · exact (tendsto_congr' <| isEquivalent_zero_iff_eventually_zero.mp hu).mpr tendsto_const_nhds · exact (isEquivalent_const_iff_tendsto h).mp hu #align asymptotics.is_equivalent.tendsto_const Asymptotics.IsEquivalent.tendsto_const
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
157
164
theorem IsEquivalent.tendsto_nhds {c : β} (huv : u ~[l] v) (hu : Tendsto u l (𝓝 c)) : Tendsto v l (𝓝 c) := by
by_cases h : c = 0 · subst c rw [← isLittleO_one_iff ℝ] at hu ⊢ simpa using (huv.symm.isLittleO.trans hu).add hu · rw [← isEquivalent_const_iff_tendsto h] at hu ⊢ exact huv.symm.trans hu
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section NormedField
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
28
33
theorem Filter.IsBoundedUnder.isLittleO_sub_self_inv {𝕜 E : Type*} [NormedField 𝕜] [Norm E] {a : 𝕜} {f : 𝕜 → E} (h : IsBoundedUnder (· ≤ ·) (𝓝[≠] a) (norm ∘ f)) : f =o[𝓝[≠] a] fun x => (x - a)⁻¹ := by
refine (h.isBigO_const (one_ne_zero' ℝ)).trans_isLittleO (isLittleO_const_left.2 <| Or.inr ?_) simp only [(· ∘ ·), norm_inv] exact (tendsto_norm_sub_self_punctured_nhds a).inv_tendsto_zero
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section LinearOrderedField variable {𝕜 : Type*} [LinearOrderedField 𝕜]
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
42
46
theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne']
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section LinearOrderedField variable {𝕜 : Type*} [LinearOrderedField 𝕜] theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne'] #align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
49
53
theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne]
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section LinearOrderedField variable {𝕜 : Type*} [LinearOrderedField 𝕜] theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne'] #align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne] #align pow_div_pow_eventually_eq_at_bot pow_div_pow_eventuallyEq_atBot
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
56
60
theorem tendsto_pow_div_pow_atTop_atTop {p q : ℕ} (hpq : q < p) : Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop atTop := by
rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop] apply tendsto_zpow_atTop_atTop omega
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section LinearOrderedField variable {𝕜 : Type*} [LinearOrderedField 𝕜] theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne'] #align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} : (fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _ intro x hx simp [zpow_sub₀ hx.ne] #align pow_div_pow_eventually_eq_at_bot pow_div_pow_eventuallyEq_atBot theorem tendsto_pow_div_pow_atTop_atTop {p q : ℕ} (hpq : q < p) : Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop atTop := by rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop] apply tendsto_zpow_atTop_atTop omega #align tendsto_pow_div_pow_at_top_at_top tendsto_pow_div_pow_atTop_atTop
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
63
67
theorem tendsto_pow_div_pow_atTop_zero [TopologicalSpace 𝕜] [OrderTopology 𝕜] {p q : ℕ} (hpq : p < q) : Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop (𝓝 0) := by
rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop] apply tendsto_zpow_atTop_zero omega
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section Real open Finset
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
98
128
theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ} (h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) : (fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by
have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i) have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by rwa [Real.norm_eq_abs, abs_sum_of_nonneg'] apply isLittleO_iff.2 fun ε εpos => _ intro ε εpos obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos) have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by apply isLittleO_const_left.2 exact Or.inr (h'g.congr fun n => (B n).symm) filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn calc ‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by rw [sum_range_add_sum_Ico _ Nn] _ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _ _ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i := (add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1)) _ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by gcongr apply sum_le_sum_of_subset_of_nonneg · rw [range_eq_Ico] exact Ico_subset_Ico (zero_le _) le_rfl · intro i _ _ exact mul_nonneg (half_pos εpos).le (hg i) _ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr _ = ε * ‖∑ i ∈ range n, g i‖ := by simp only [B] ring
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section Real open Finset theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ} (h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) : (fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i) have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by rwa [Real.norm_eq_abs, abs_sum_of_nonneg'] apply isLittleO_iff.2 fun ε εpos => _ intro ε εpos obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos) have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by apply isLittleO_const_left.2 exact Or.inr (h'g.congr fun n => (B n).symm) filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn calc ‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by rw [sum_range_add_sum_Ico _ Nn] _ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _ _ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i := (add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1)) _ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by gcongr apply sum_le_sum_of_subset_of_nonneg · rw [range_eq_Ico] exact Ico_subset_Ico (zero_le _) le_rfl · intro i _ _ exact mul_nonneg (half_pos εpos).le (hg i) _ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr _ = ε * ‖∑ i ∈ range n, g i‖ := by simp only [B] ring #align asymptotics.is_o.sum_range Asymptotics.IsLittleO.sum_range
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
131
136
theorem Asymptotics.isLittleO_sum_range_of_tendsto_zero {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} (h : Tendsto f atTop (𝓝 0)) : (fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => (n : ℝ) := by
have := ((isLittleO_one_iff ℝ).2 h).sum_range fun i => zero_le_one simp only [sum_const, card_range, Nat.smul_one_eq_cast] at this exact this tendsto_natCast_atTop_atTop
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import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Asymptotics open Topology section Real open Finset theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ} (h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) : (fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i) have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by rwa [Real.norm_eq_abs, abs_sum_of_nonneg'] apply isLittleO_iff.2 fun ε εpos => _ intro ε εpos obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos) have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by apply isLittleO_const_left.2 exact Or.inr (h'g.congr fun n => (B n).symm) filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn calc ‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by rw [sum_range_add_sum_Ico _ Nn] _ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _ _ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i := (add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1)) _ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by gcongr apply sum_le_sum_of_subset_of_nonneg · rw [range_eq_Ico] exact Ico_subset_Ico (zero_le _) le_rfl · intro i _ _ exact mul_nonneg (half_pos εpos).le (hg i) _ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr _ = ε * ‖∑ i ∈ range n, g i‖ := by simp only [B] ring #align asymptotics.is_o.sum_range Asymptotics.IsLittleO.sum_range theorem Asymptotics.isLittleO_sum_range_of_tendsto_zero {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} (h : Tendsto f atTop (𝓝 0)) : (fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => (n : ℝ) := by have := ((isLittleO_one_iff ℝ).2 h).sum_range fun i => zero_le_one simp only [sum_const, card_range, Nat.smul_one_eq_cast] at this exact this tendsto_natCast_atTop_atTop #align asymptotics.is_o_sum_range_of_tendsto_zero Asymptotics.isLittleO_sum_range_of_tendsto_zero
Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean
140
152
theorem Filter.Tendsto.cesaro_smul {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {u : ℕ → E} {l : E} (h : Tendsto u atTop (𝓝 l)) : Tendsto (fun n : ℕ => (n⁻¹ : ℝ) • ∑ i ∈ range n, u i) atTop (𝓝 l) := by
rw [← tendsto_sub_nhds_zero_iff, ← isLittleO_one_iff ℝ] have := Asymptotics.isLittleO_sum_range_of_tendsto_zero (tendsto_sub_nhds_zero_iff.2 h) apply ((isBigO_refl (fun n : ℕ => (n : ℝ)⁻¹) atTop).smul_isLittleO this).congr' _ _ · filter_upwards [Ici_mem_atTop 1] with n npos have nposℝ : (0 : ℝ) < n := Nat.cast_pos.2 npos simp only [smul_sub, sum_sub_distrib, sum_const, card_range, sub_right_inj] rw [nsmul_eq_smul_cast ℝ, smul_smul, inv_mul_cancel nposℝ.ne', one_smul] · filter_upwards [Ici_mem_atTop 1] with n npos have nposℝ : (0 : ℝ) < n := Nat.cast_pos.2 npos rw [Algebra.id.smul_eq_mul, inv_mul_cancel nposℝ.ne']
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import Mathlib.AlgebraicTopology.SimplexCategory import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Instances.NNReal #align_import algebraic_topology.topological_simplex from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" set_option linter.uppercaseLean3 false noncomputable section namespace SimplexCategory open Simplicial NNReal Classical CategoryTheory attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike -- Porting note: added, should be moved instance (x : SimplexCategory) : Fintype (ConcreteCategory.forget.obj x) := inferInstanceAs (Fintype (Fin _)) def toTopObj (x : SimplexCategory) := { f : x → ℝ≥0 | ∑ i, f i = 1 } #align simplex_category.to_Top_obj SimplexCategory.toTopObj instance (x : SimplexCategory) : CoeFun x.toTopObj fun _ => x → ℝ≥0 := ⟨fun f => (f : x → ℝ≥0)⟩ @[ext] theorem toTopObj.ext {x : SimplexCategory} (f g : x.toTopObj) : (f : x → ℝ≥0) = g → f = g := Subtype.ext #align simplex_category.to_Top_obj.ext SimplexCategory.toTopObj.ext def toTopMap {x y : SimplexCategory} (f : x ⟶ y) (g : x.toTopObj) : y.toTopObj := ⟨fun i => ∑ j ∈ Finset.univ.filter (f · = i), g j, by simp only [toTopObj, Set.mem_setOf] rw [← Finset.sum_biUnion] · have hg : ∑ i : (forget SimplexCategory).obj x, g i = 1 := g.2 convert hg simp [Finset.eq_univ_iff_forall] · apply Set.pairwiseDisjoint_filter⟩ #align simplex_category.to_Top_map SimplexCategory.toTopMap @[simp] theorem coe_toTopMap {x y : SimplexCategory} (f : x ⟶ y) (g : x.toTopObj) (i : y) : toTopMap f g i = ∑ j ∈ Finset.univ.filter (f · = i), g j := rfl #align simplex_category.coe_to_Top_map SimplexCategory.coe_toTopMap @[continuity]
Mathlib/AlgebraicTopology/TopologicalSimplex.lean
65
68
theorem continuous_toTopMap {x y : SimplexCategory} (f : x ⟶ y) : Continuous (toTopMap f) := by
refine Continuous.subtype_mk (continuous_pi fun i => ?_) _ dsimp only [coe_toTopMap] exact continuous_finset_sum _ (fun j _ => (continuous_apply _).comp continuous_subtype_val)
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import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top
Mathlib/Topology/Instances/ENNReal.lean
60
62
theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by
rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio
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import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio #align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) := ⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩ #align ennreal.open_embedding_coe ENNReal.openEmbedding_coe theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) := IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _ #align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds @[norm_cast] theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} : Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) := embedding_coe.tendsto_nhds_iff.symm #align ennreal.tendsto_coe ENNReal.tendsto_coe theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) := embedding_coe.continuous #align ennreal.continuous_coe ENNReal.continuous_coe theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} : (Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f := embedding_coe.continuous_iff.symm #align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) := (openEmbedding_coe.map_nhds_eq r).symm #align ennreal.nhds_coe ENNReal.nhds_coe
Mathlib/Topology/Instances/ENNReal.lean
92
94
theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} : Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by
rw [nhds_coe, tendsto_map'_iff]
1,432
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio #align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) := ⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩ #align ennreal.open_embedding_coe ENNReal.openEmbedding_coe theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) := IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _ #align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds @[norm_cast] theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} : Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) := embedding_coe.tendsto_nhds_iff.symm #align ennreal.tendsto_coe ENNReal.tendsto_coe theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) := embedding_coe.continuous #align ennreal.continuous_coe ENNReal.continuous_coe theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} : (Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f := embedding_coe.continuous_iff.symm #align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) := (openEmbedding_coe.map_nhds_eq r).symm #align ennreal.nhds_coe ENNReal.nhds_coe theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} : Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by rw [nhds_coe, tendsto_map'_iff] #align ennreal.tendsto_nhds_coe_iff ENNReal.tendsto_nhds_coe_iff theorem continuousAt_coe_iff {α : Type*} [TopologicalSpace α] {x : ℝ≥0} {f : ℝ≥0∞ → α} : ContinuousAt f ↑x ↔ ContinuousAt (f ∘ (↑) : ℝ≥0 → α) x := tendsto_nhds_coe_iff #align ennreal.continuous_at_coe_iff ENNReal.continuousAt_coe_iff theorem nhds_coe_coe {r p : ℝ≥0} : 𝓝 ((r : ℝ≥0∞), (p : ℝ≥0∞)) = (𝓝 (r, p)).map fun p : ℝ≥0 × ℝ≥0 => (↑p.1, ↑p.2) := ((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm #align ennreal.nhds_coe_coe ENNReal.nhds_coe_coe theorem continuous_ofReal : Continuous ENNReal.ofReal := (continuous_coe_iff.2 continuous_id).comp continuous_real_toNNReal #align ennreal.continuous_of_real ENNReal.continuous_ofReal theorem tendsto_ofReal {f : Filter α} {m : α → ℝ} {a : ℝ} (h : Tendsto m f (𝓝 a)) : Tendsto (fun a => ENNReal.ofReal (m a)) f (𝓝 (ENNReal.ofReal a)) := (continuous_ofReal.tendsto a).comp h #align ennreal.tendsto_of_real ENNReal.tendsto_ofReal
Mathlib/Topology/Instances/ENNReal.lean
116
120
theorem tendsto_toNNReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toNNReal (𝓝 a) (𝓝 a.toNNReal) := by
lift a to ℝ≥0 using ha rw [nhds_coe, tendsto_map'_iff] exact tendsto_id
1,432
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio #align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) := ⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩ #align ennreal.open_embedding_coe ENNReal.openEmbedding_coe theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) := IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _ #align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds @[norm_cast] theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} : Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) := embedding_coe.tendsto_nhds_iff.symm #align ennreal.tendsto_coe ENNReal.tendsto_coe theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) := embedding_coe.continuous #align ennreal.continuous_coe ENNReal.continuous_coe theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} : (Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f := embedding_coe.continuous_iff.symm #align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) := (openEmbedding_coe.map_nhds_eq r).symm #align ennreal.nhds_coe ENNReal.nhds_coe theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} : Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by rw [nhds_coe, tendsto_map'_iff] #align ennreal.tendsto_nhds_coe_iff ENNReal.tendsto_nhds_coe_iff theorem continuousAt_coe_iff {α : Type*} [TopologicalSpace α] {x : ℝ≥0} {f : ℝ≥0∞ → α} : ContinuousAt f ↑x ↔ ContinuousAt (f ∘ (↑) : ℝ≥0 → α) x := tendsto_nhds_coe_iff #align ennreal.continuous_at_coe_iff ENNReal.continuousAt_coe_iff theorem nhds_coe_coe {r p : ℝ≥0} : 𝓝 ((r : ℝ≥0∞), (p : ℝ≥0∞)) = (𝓝 (r, p)).map fun p : ℝ≥0 × ℝ≥0 => (↑p.1, ↑p.2) := ((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm #align ennreal.nhds_coe_coe ENNReal.nhds_coe_coe theorem continuous_ofReal : Continuous ENNReal.ofReal := (continuous_coe_iff.2 continuous_id).comp continuous_real_toNNReal #align ennreal.continuous_of_real ENNReal.continuous_ofReal theorem tendsto_ofReal {f : Filter α} {m : α → ℝ} {a : ℝ} (h : Tendsto m f (𝓝 a)) : Tendsto (fun a => ENNReal.ofReal (m a)) f (𝓝 (ENNReal.ofReal a)) := (continuous_ofReal.tendsto a).comp h #align ennreal.tendsto_of_real ENNReal.tendsto_ofReal theorem tendsto_toNNReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toNNReal (𝓝 a) (𝓝 a.toNNReal) := by lift a to ℝ≥0 using ha rw [nhds_coe, tendsto_map'_iff] exact tendsto_id #align ennreal.tendsto_to_nnreal ENNReal.tendsto_toNNReal
Mathlib/Topology/Instances/ENNReal.lean
123
127
theorem eventuallyEq_of_toReal_eventuallyEq {l : Filter α} {f g : α → ℝ≥0∞} (hfi : ∀ᶠ x in l, f x ≠ ∞) (hgi : ∀ᶠ x in l, g x ≠ ∞) (hfg : (fun x => (f x).toReal) =ᶠ[l] fun x => (g x).toReal) : f =ᶠ[l] g := by
filter_upwards [hfi, hgi, hfg] with _ hfx hgx _ rwa [← ENNReal.toReal_eq_toReal hfx hgx]
1,432
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section Liminf
Mathlib/Topology/Instances/ENNReal.lean
730
736
theorem exists_frequently_lt_of_liminf_ne_top {ι : Type*} {l : Filter ι} {x : ι → ℝ} (hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, x n < R := by
by_contra h simp_rw [not_exists, not_frequently, not_lt] at h refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_) simp only [eventually_map, ENNReal.coe_le_coe] filter_upwards [h r] with i hi using hi.trans (le_abs_self (x i))
1,432
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section Liminf theorem exists_frequently_lt_of_liminf_ne_top {ι : Type*} {l : Filter ι} {x : ι → ℝ} (hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, x n < R := by by_contra h simp_rw [not_exists, not_frequently, not_lt] at h refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_) simp only [eventually_map, ENNReal.coe_le_coe] filter_upwards [h r] with i hi using hi.trans (le_abs_self (x i)) #align ennreal.exists_frequently_lt_of_liminf_ne_top ENNReal.exists_frequently_lt_of_liminf_ne_top
Mathlib/Topology/Instances/ENNReal.lean
739
745
theorem exists_frequently_lt_of_liminf_ne_top' {ι : Type*} {l : Filter ι} {x : ι → ℝ} (hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, R < x n := by
by_contra h simp_rw [not_exists, not_frequently, not_lt] at h refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_) simp only [eventually_map, ENNReal.coe_le_coe] filter_upwards [h (-r)] with i hi using(le_neg.1 hi).trans (neg_le_abs _)
1,432
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section Liminf theorem exists_frequently_lt_of_liminf_ne_top {ι : Type*} {l : Filter ι} {x : ι → ℝ} (hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, x n < R := by by_contra h simp_rw [not_exists, not_frequently, not_lt] at h refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_) simp only [eventually_map, ENNReal.coe_le_coe] filter_upwards [h r] with i hi using hi.trans (le_abs_self (x i)) #align ennreal.exists_frequently_lt_of_liminf_ne_top ENNReal.exists_frequently_lt_of_liminf_ne_top theorem exists_frequently_lt_of_liminf_ne_top' {ι : Type*} {l : Filter ι} {x : ι → ℝ} (hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, R < x n := by by_contra h simp_rw [not_exists, not_frequently, not_lt] at h refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_) simp only [eventually_map, ENNReal.coe_le_coe] filter_upwards [h (-r)] with i hi using(le_neg.1 hi).trans (neg_le_abs _) #align ennreal.exists_frequently_lt_of_liminf_ne_top' ENNReal.exists_frequently_lt_of_liminf_ne_top'
Mathlib/Topology/Instances/ENNReal.lean
748
771
theorem exists_upcrossings_of_not_bounded_under {ι : Type*} {l : Filter ι} {x : ι → ℝ} (hf : liminf (fun i => (Real.nnabs (x i) : ℝ≥0∞)) l ≠ ∞) (hbdd : ¬IsBoundedUnder (· ≤ ·) l fun i => |x i|) : ∃ a b : ℚ, a < b ∧ (∃ᶠ i in l, x i < a) ∧ ∃ᶠ i in l, ↑b < x i := by
rw [isBoundedUnder_le_abs, not_and_or] at hbdd obtain hbdd | hbdd := hbdd · obtain ⟨R, hR⟩ := exists_frequently_lt_of_liminf_ne_top hf obtain ⟨q, hq⟩ := exists_rat_gt R refine ⟨q, q + 1, (lt_add_iff_pos_right _).2 zero_lt_one, ?_, ?_⟩ · refine fun hcon => hR ?_ filter_upwards [hcon] with x hx using not_lt.2 (lt_of_lt_of_le hq (not_lt.1 hx)).le · simp only [IsBoundedUnder, IsBounded, eventually_map, eventually_atTop, ge_iff_le, not_exists, not_forall, not_le, exists_prop] at hbdd refine fun hcon => hbdd ↑(q + 1) ?_ filter_upwards [hcon] with x hx using not_lt.1 hx · obtain ⟨R, hR⟩ := exists_frequently_lt_of_liminf_ne_top' hf obtain ⟨q, hq⟩ := exists_rat_lt R refine ⟨q - 1, q, (sub_lt_self_iff _).2 zero_lt_one, ?_, ?_⟩ · simp only [IsBoundedUnder, IsBounded, eventually_map, eventually_atTop, ge_iff_le, not_exists, not_forall, not_le, exists_prop] at hbdd refine fun hcon => hbdd ↑(q - 1) ?_ filter_upwards [hcon] with x hx using not_lt.1 hx · refine fun hcon => hR ?_ filter_upwards [hcon] with x hx using not_lt.2 ((not_lt.1 hx).trans hq.le)
1,432
import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Instances.ENNReal #align_import analysis.calculus.series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Metric TopologicalSpace Function Filter open scoped Topology NNReal variable {α β F : Type*} [NormedAddCommGroup F] [CompleteSpace F] {u : α → ℝ}
Mathlib/Analysis/NormedSpace/FunctionSeries.lean
28
39
theorem tendstoUniformlyOn_tsum {f : α → β → F} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop s := by
refine tendstoUniformlyOn_iff.2 fun ε εpos => ?_ filter_upwards [(tendsto_order.1 (tendsto_tsum_compl_atTop_zero u)).2 _ εpos] with t ht x hx have A : Summable fun n => ‖f n x‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun n => hfu n x hx) hu rw [dist_eq_norm, ← sum_add_tsum_subtype_compl A.of_norm t, add_sub_cancel_left] apply lt_of_le_of_lt _ ht apply (norm_tsum_le_tsum_norm (A.subtype _)).trans exact tsum_le_tsum (fun n => hfu _ _ hx) (A.subtype _) (hu.subtype _)
1,433
import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Instances.ENNReal #align_import analysis.calculus.series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Metric TopologicalSpace Function Filter open scoped Topology NNReal variable {α β F : Type*} [NormedAddCommGroup F] [CompleteSpace F] {u : α → ℝ} theorem tendstoUniformlyOn_tsum {f : α → β → F} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop s := by refine tendstoUniformlyOn_iff.2 fun ε εpos => ?_ filter_upwards [(tendsto_order.1 (tendsto_tsum_compl_atTop_zero u)).2 _ εpos] with t ht x hx have A : Summable fun n => ‖f n x‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun n => hfu n x hx) hu rw [dist_eq_norm, ← sum_add_tsum_subtype_compl A.of_norm t, add_sub_cancel_left] apply lt_of_le_of_lt _ ht apply (norm_tsum_le_tsum_norm (A.subtype _)).trans exact tsum_le_tsum (fun n => hfu _ _ hx) (A.subtype _) (hu.subtype _) #align tendsto_uniformly_on_tsum tendstoUniformlyOn_tsum theorem tendstoUniformlyOn_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop s := fun v hv => tendsto_finset_range.eventually (tendstoUniformlyOn_tsum hu hfu v hv) #align tendsto_uniformly_on_tsum_nat tendstoUniformlyOn_tsum_nat
Mathlib/Analysis/NormedSpace/FunctionSeries.lean
53
56
theorem tendstoUniformly_tsum {f : α → β → F} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop := by
rw [← tendstoUniformlyOn_univ]; exact tendstoUniformlyOn_tsum hu fun n x _ => hfu n x
1,433
import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Instances.ENNReal #align_import analysis.calculus.series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Metric TopologicalSpace Function Filter open scoped Topology NNReal variable {α β F : Type*} [NormedAddCommGroup F] [CompleteSpace F] {u : α → ℝ} theorem tendstoUniformlyOn_tsum {f : α → β → F} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop s := by refine tendstoUniformlyOn_iff.2 fun ε εpos => ?_ filter_upwards [(tendsto_order.1 (tendsto_tsum_compl_atTop_zero u)).2 _ εpos] with t ht x hx have A : Summable fun n => ‖f n x‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun n => hfu n x hx) hu rw [dist_eq_norm, ← sum_add_tsum_subtype_compl A.of_norm t, add_sub_cancel_left] apply lt_of_le_of_lt _ ht apply (norm_tsum_le_tsum_norm (A.subtype _)).trans exact tsum_le_tsum (fun n => hfu _ _ hx) (A.subtype _) (hu.subtype _) #align tendsto_uniformly_on_tsum tendstoUniformlyOn_tsum theorem tendstoUniformlyOn_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop s := fun v hv => tendsto_finset_range.eventually (tendstoUniformlyOn_tsum hu hfu v hv) #align tendsto_uniformly_on_tsum_nat tendstoUniformlyOn_tsum_nat theorem tendstoUniformly_tsum {f : α → β → F} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop := by rw [← tendstoUniformlyOn_univ]; exact tendstoUniformlyOn_tsum hu fun n x _ => hfu n x #align tendsto_uniformly_tsum tendstoUniformly_tsum theorem tendstoUniformly_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop := fun v hv => tendsto_finset_range.eventually (tendstoUniformly_tsum hu hfu v hv) #align tendsto_uniformly_tsum_nat tendstoUniformly_tsum_nat
Mathlib/Analysis/NormedSpace/FunctionSeries.lean
70
76
theorem continuousOn_tsum [TopologicalSpace β] {f : α → β → F} {s : Set β} (hf : ∀ i, ContinuousOn (f i) s) (hu : Summable u) (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : ContinuousOn (fun x => ∑' n, f n x) s := by
classical refine (tendstoUniformlyOn_tsum hu hfu).continuousOn (eventually_of_forall ?_) intro t exact continuousOn_finset_sum _ fun i _ => hf i
1,433
import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Instances.ENNReal #align_import analysis.calculus.series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Metric TopologicalSpace Function Filter open scoped Topology NNReal variable {α β F : Type*} [NormedAddCommGroup F] [CompleteSpace F] {u : α → ℝ} theorem tendstoUniformlyOn_tsum {f : α → β → F} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop s := by refine tendstoUniformlyOn_iff.2 fun ε εpos => ?_ filter_upwards [(tendsto_order.1 (tendsto_tsum_compl_atTop_zero u)).2 _ εpos] with t ht x hx have A : Summable fun n => ‖f n x‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun n => hfu n x hx) hu rw [dist_eq_norm, ← sum_add_tsum_subtype_compl A.of_norm t, add_sub_cancel_left] apply lt_of_le_of_lt _ ht apply (norm_tsum_le_tsum_norm (A.subtype _)).trans exact tsum_le_tsum (fun n => hfu _ _ hx) (A.subtype _) (hu.subtype _) #align tendsto_uniformly_on_tsum tendstoUniformlyOn_tsum theorem tendstoUniformlyOn_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) {s : Set β} (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : TendstoUniformlyOn (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop s := fun v hv => tendsto_finset_range.eventually (tendstoUniformlyOn_tsum hu hfu v hv) #align tendsto_uniformly_on_tsum_nat tendstoUniformlyOn_tsum_nat theorem tendstoUniformly_tsum {f : α → β → F} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun t : Finset α => fun x => ∑ n ∈ t, f n x) (fun x => ∑' n, f n x) atTop := by rw [← tendstoUniformlyOn_univ]; exact tendstoUniformlyOn_tsum hu fun n x _ => hfu n x #align tendsto_uniformly_tsum tendstoUniformly_tsum theorem tendstoUniformly_tsum_nat {f : ℕ → β → F} {u : ℕ → ℝ} (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : TendstoUniformly (fun N => fun x => ∑ n ∈ Finset.range N, f n x) (fun x => ∑' n, f n x) atTop := fun v hv => tendsto_finset_range.eventually (tendstoUniformly_tsum hu hfu v hv) #align tendsto_uniformly_tsum_nat tendstoUniformly_tsum_nat theorem continuousOn_tsum [TopologicalSpace β] {f : α → β → F} {s : Set β} (hf : ∀ i, ContinuousOn (f i) s) (hu : Summable u) (hfu : ∀ n x, x ∈ s → ‖f n x‖ ≤ u n) : ContinuousOn (fun x => ∑' n, f n x) s := by classical refine (tendstoUniformlyOn_tsum hu hfu).continuousOn (eventually_of_forall ?_) intro t exact continuousOn_finset_sum _ fun i _ => hf i #align continuous_on_tsum continuousOn_tsum
Mathlib/Analysis/NormedSpace/FunctionSeries.lean
81
84
theorem continuous_tsum [TopologicalSpace β] {f : α → β → F} (hf : ∀ i, Continuous (f i)) (hu : Summable u) (hfu : ∀ n x, ‖f n x‖ ≤ u n) : Continuous fun x => ∑' n, f n x := by
simp_rw [continuous_iff_continuousOn_univ] at hf ⊢ exact continuousOn_tsum hf hu fun n x _ => hfu n x
1,433
import Mathlib.Topology.Instances.ENNReal #align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0" open Filter ENNReal namespace ENNReal variable {α : Type*} {f : Filter α} theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) : ∀ᶠ y in f, u y ≤ f.limsup u := _root_.eventually_le_limsup #align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} : f.limsup u = 0 ↔ u =ᶠ[f] 0 := limsup_eq_bot #align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff
Mathlib/Order/Filter/ENNReal.lean
33
47
theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) : (f.limsup fun x : α => a * u x) = a * f.limsup u := by
by_cases ha_zero : a = 0 · simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero] exact limsup_const_bot let g := fun x : ℝ≥0∞ => a * x have hg_bij : Function.Bijective g := Function.bijective_iff_has_inverse.mpr ⟨fun x => a⁻¹ * x, ⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩ have hg_mono : StrictMono g := Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1 let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2 exact (OrderIso.limsup_apply g_iso).symm
1,434
import Mathlib.Topology.Instances.ENNReal #align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0" open Filter ENNReal namespace ENNReal variable {α : Type*} {f : Filter α} theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) : ∀ᶠ y in f, u y ≤ f.limsup u := _root_.eventually_le_limsup #align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} : f.limsup u = 0 ↔ u =ᶠ[f] 0 := limsup_eq_bot #align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) : (f.limsup fun x : α => a * u x) = a * f.limsup u := by by_cases ha_zero : a = 0 · simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero] exact limsup_const_bot let g := fun x : ℝ≥0∞ => a * x have hg_bij : Function.Bijective g := Function.bijective_iff_has_inverse.mpr ⟨fun x => a⁻¹ * x, ⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩ have hg_mono : StrictMono g := Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1 let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2 exact (OrderIso.limsup_apply g_iso).symm #align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top
Mathlib/Order/Filter/ENNReal.lean
50
68
theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} : f.limsup (a * u ·) = a * f.limsup u := by
by_cases ha_top : a ≠ ⊤ · exact limsup_const_mul_of_ne_top ha_top push_neg at ha_top by_cases hu : u =ᶠ[f] 0 · have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx] simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero, limsup_const_bot] simp · have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by rw [EventuallyEq, not_eventually] at hu refine hu.mono fun x hx => ?_ rw [Pi.zero_apply] at hx simp [hx] have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ := eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul) have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu simp only [ha_top, top_mul', h_top_le, hfu, ite_false]
1,434
import Mathlib.Topology.Instances.ENNReal #align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0" open Filter ENNReal namespace ENNReal variable {α : Type*} {f : Filter α} theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) : ∀ᶠ y in f, u y ≤ f.limsup u := _root_.eventually_le_limsup #align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} : f.limsup u = 0 ↔ u =ᶠ[f] 0 := limsup_eq_bot #align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) : (f.limsup fun x : α => a * u x) = a * f.limsup u := by by_cases ha_zero : a = 0 · simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero] exact limsup_const_bot let g := fun x : ℝ≥0∞ => a * x have hg_bij : Function.Bijective g := Function.bijective_iff_has_inverse.mpr ⟨fun x => a⁻¹ * x, ⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩ have hg_mono : StrictMono g := Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1 let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2 exact (OrderIso.limsup_apply g_iso).symm #align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} : f.limsup (a * u ·) = a * f.limsup u := by by_cases ha_top : a ≠ ⊤ · exact limsup_const_mul_of_ne_top ha_top push_neg at ha_top by_cases hu : u =ᶠ[f] 0 · have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx] simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero, limsup_const_bot] simp · have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by rw [EventuallyEq, not_eventually] at hu refine hu.mono fun x hx => ?_ rw [Pi.zero_apply] at hx simp [hx] have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ := eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul) have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu simp only [ha_top, top_mul', h_top_le, hfu, ite_false] #align ennreal.limsup_const_mul ENNReal.limsup_const_mul
Mathlib/Order/Filter/ENNReal.lean
71
77
theorem limsup_mul_le [CountableInterFilter f] (u v : α → ℝ≥0∞) : f.limsup (u * v) ≤ f.limsup u * f.limsup v := calc f.limsup (u * v) ≤ f.limsup fun x => f.limsup u * v x := by
refine limsup_le_limsup ?_ filter_upwards [@eventually_le_limsup _ f _ u] with x hx using mul_le_mul' hx le_rfl _ = f.limsup u * f.limsup v := limsup_const_mul
1,434
import Mathlib.Topology.Instances.ENNReal #align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0" open Filter ENNReal namespace ENNReal variable {α : Type*} {f : Filter α} theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) : ∀ᶠ y in f, u y ≤ f.limsup u := _root_.eventually_le_limsup #align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} : f.limsup u = 0 ↔ u =ᶠ[f] 0 := limsup_eq_bot #align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) : (f.limsup fun x : α => a * u x) = a * f.limsup u := by by_cases ha_zero : a = 0 · simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero] exact limsup_const_bot let g := fun x : ℝ≥0∞ => a * x have hg_bij : Function.Bijective g := Function.bijective_iff_has_inverse.mpr ⟨fun x => a⁻¹ * x, ⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩ have hg_mono : StrictMono g := Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1 let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2 exact (OrderIso.limsup_apply g_iso).symm #align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} : f.limsup (a * u ·) = a * f.limsup u := by by_cases ha_top : a ≠ ⊤ · exact limsup_const_mul_of_ne_top ha_top push_neg at ha_top by_cases hu : u =ᶠ[f] 0 · have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx] simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero, limsup_const_bot] simp · have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by rw [EventuallyEq, not_eventually] at hu refine hu.mono fun x hx => ?_ rw [Pi.zero_apply] at hx simp [hx] have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ := eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul) have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu simp only [ha_top, top_mul', h_top_le, hfu, ite_false] #align ennreal.limsup_const_mul ENNReal.limsup_const_mul theorem limsup_mul_le [CountableInterFilter f] (u v : α → ℝ≥0∞) : f.limsup (u * v) ≤ f.limsup u * f.limsup v := calc f.limsup (u * v) ≤ f.limsup fun x => f.limsup u * v x := by refine limsup_le_limsup ?_ filter_upwards [@eventually_le_limsup _ f _ u] with x hx using mul_le_mul' hx le_rfl _ = f.limsup u * f.limsup v := limsup_const_mul #align ennreal.limsup_mul_le ENNReal.limsup_mul_le theorem limsup_add_le [CountableInterFilter f] (u v : α → ℝ≥0∞) : f.limsup (u + v) ≤ f.limsup u + f.limsup v := sInf_le ((eventually_le_limsup u).mp ((eventually_le_limsup v).mono fun _ hxg hxf => add_le_add hxf hxg)) #align ennreal.limsup_add_le ENNReal.limsup_add_le
Mathlib/Order/Filter/ENNReal.lean
86
93
theorem limsup_liminf_le_liminf_limsup {β} [Countable β] {f : Filter α} [CountableInterFilter f] {g : Filter β} (u : α → β → ℝ≥0∞) : (f.limsup fun a : α => g.liminf fun b : β => u a b) ≤ g.liminf fun b => f.limsup fun a => u a b := have h1 : ∀ᶠ a in f, ∀ b, u a b ≤ f.limsup fun a' => u a' b := by
rw [eventually_countable_forall] exact fun b => ENNReal.eventually_le_limsup fun a => u a b sInf_le <| h1.mono fun x hx => Filter.liminf_le_liminf (Filter.eventually_of_forall hx)
1,434
import Mathlib.Data.Rat.Encodable import Mathlib.Data.Real.EReal import Mathlib.Topology.Instances.ENNReal import Mathlib.Topology.Order.MonotoneContinuity #align_import topology.instances.ereal from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Set Filter Metric TopologicalSpace Topology open scoped ENNReal NNReal Filter variable {α : Type*} [TopologicalSpace α] namespace EReal instance : TopologicalSpace EReal := Preorder.topology EReal instance : OrderTopology EReal := ⟨rfl⟩ instance : T5Space EReal := inferInstance instance : T2Space EReal := inferInstance lemma denseRange_ratCast : DenseRange (fun r : ℚ ↦ ((r : ℝ) : EReal)) := dense_of_exists_between fun _ _ h => exists_range_iff.2 <| exists_rat_btwn_of_lt h instance : SecondCountableTopology EReal := have : SeparableSpace EReal := ⟨⟨_, countable_range _, denseRange_ratCast⟩⟩ .of_separableSpace_orderTopology _ theorem embedding_coe : Embedding ((↑) : ℝ → EReal) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe_eq_Ioo]; exact ordConnected_Ioo #align ereal.embedding_coe EReal.embedding_coe theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ → EReal) := ⟨embedding_coe, by simp only [range_coe_eq_Ioo, isOpen_Ioo]⟩ #align ereal.open_embedding_coe EReal.openEmbedding_coe @[norm_cast] theorem tendsto_coe {α : Type*} {f : Filter α} {m : α → ℝ} {a : ℝ} : Tendsto (fun a => (m a : EReal)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) := embedding_coe.tendsto_nhds_iff.symm #align ereal.tendsto_coe EReal.tendsto_coe theorem _root_.continuous_coe_real_ereal : Continuous ((↑) : ℝ → EReal) := embedding_coe.continuous #align continuous_coe_real_ereal continuous_coe_real_ereal theorem continuous_coe_iff {f : α → ℝ} : (Continuous fun a => (f a : EReal)) ↔ Continuous f := embedding_coe.continuous_iff.symm #align ereal.continuous_coe_iff EReal.continuous_coe_iff theorem nhds_coe {r : ℝ} : 𝓝 (r : EReal) = (𝓝 r).map (↑) := (openEmbedding_coe.map_nhds_eq r).symm #align ereal.nhds_coe EReal.nhds_coe theorem nhds_coe_coe {r p : ℝ} : 𝓝 ((r : EReal), (p : EReal)) = (𝓝 (r, p)).map fun p : ℝ × ℝ => (↑p.1, ↑p.2) := ((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm #align ereal.nhds_coe_coe EReal.nhds_coe_coe
Mathlib/Topology/Instances/EReal.lean
86
90
theorem tendsto_toReal {a : EReal} (ha : a ≠ ⊤) (h'a : a ≠ ⊥) : Tendsto EReal.toReal (𝓝 a) (𝓝 a.toReal) := by
lift a to ℝ using ⟨ha, h'a⟩ rw [nhds_coe, tendsto_map'_iff] exact tendsto_id
1,435
import Mathlib.Topology.GDelta import Mathlib.MeasureTheory.Group.Arithmetic import Mathlib.Topology.Instances.EReal import Mathlib.Analysis.Normed.Group.Basic #align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" noncomputable section open Set Filter MeasureTheory open scoped Classical Topology NNReal ENNReal MeasureTheory universe u v w x y variable {α β γ γ₂ δ : Type*} {ι : Sort y} {s t u : Set α} open MeasurableSpace TopologicalSpace def borel (α : Type u) [TopologicalSpace α] : MeasurableSpace α := generateFrom { s : Set α | IsOpen s } #align borel borel theorem borel_anti : Antitone (@borel α) := fun _ _ h => MeasurableSpace.generateFrom_le fun _ hs => .basic _ (h _ hs) #align borel_anti borel_anti theorem borel_eq_top_of_discrete [TopologicalSpace α] [DiscreteTopology α] : borel α = ⊤ := top_le_iff.1 fun s _ => GenerateMeasurable.basic s (isOpen_discrete s) #align borel_eq_top_of_discrete borel_eq_top_of_discrete
Mathlib/MeasureTheory/Constructions/BorelSpace/Basic.lean
63
69
theorem borel_eq_top_of_countable [TopologicalSpace α] [T1Space α] [Countable α] : borel α = ⊤ := by
refine top_le_iff.1 fun s _ => biUnion_of_singleton s ▸ ?_ apply MeasurableSet.biUnion s.to_countable intro x _ apply MeasurableSet.of_compl apply GenerateMeasurable.basic exact isClosed_singleton.isOpen_compl
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import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.Combinatorics.Pigeonhole #align_import dynamics.ergodic.conservative from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" noncomputable section open scoped Classical open Set Filter MeasureTheory Finset Function TopologicalSpace open scoped Classical open Topology variable {ι : Type*} {α : Type*} [MeasurableSpace α] {f : α → α} {s : Set α} {μ : Measure α} namespace MeasureTheory open Measure structure Conservative (f : α → α) (μ : Measure α) extends QuasiMeasurePreserving f μ μ : Prop where exists_mem_iterate_mem : ∀ ⦃s⦄, MeasurableSet s → μ s ≠ 0 → ∃ x ∈ s, ∃ m ≠ 0, f^[m] x ∈ s #align measure_theory.conservative MeasureTheory.Conservative protected theorem MeasurePreserving.conservative [IsFiniteMeasure μ] (h : MeasurePreserving f μ μ) : Conservative f μ := ⟨h.quasiMeasurePreserving, fun _ hsm h0 => h.exists_mem_iterate_mem hsm h0⟩ #align measure_theory.measure_preserving.conservative MeasureTheory.MeasurePreserving.conservative namespace Conservative protected theorem id (μ : Measure α) : Conservative id μ := { toQuasiMeasurePreserving := QuasiMeasurePreserving.id μ exists_mem_iterate_mem := fun _ _ h0 => let ⟨x, hx⟩ := nonempty_of_measure_ne_zero h0 ⟨x, hx, 1, one_ne_zero, hx⟩ } #align measure_theory.conservative.id MeasureTheory.Conservative.id
Mathlib/Dynamics/Ergodic/Conservative.lean
83
106
theorem frequently_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) : ∃ᶠ m in atTop, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := by
by_contra H simp only [not_frequently, eventually_atTop, Ne, Classical.not_not] at H rcases H with ⟨N, hN⟩ induction' N with N ihN · apply h0 simpa using hN 0 le_rfl rw [imp_false] at ihN push_neg at ihN rcases ihN with ⟨n, hn, hμn⟩ set T := s ∩ ⋃ n ≥ N + 1, f^[n] ⁻¹' s have hT : MeasurableSet T := hs.inter (MeasurableSet.biUnion (to_countable _) fun _ _ => hf.measurable.iterate _ hs) have hμT : μ T = 0 := by convert (measure_biUnion_null_iff <| to_countable _).2 hN rw [← inter_iUnion₂] rfl have : μ ((s ∩ f^[n] ⁻¹' s) \ T) ≠ 0 := by rwa [measure_diff_null hμT] rcases hf.exists_mem_iterate_mem ((hs.inter (hf.measurable.iterate n hs)).diff hT) this with ⟨x, ⟨⟨hxs, _⟩, hxT⟩, m, hm0, ⟨_, hxm⟩, _⟩ refine hxT ⟨hxs, mem_iUnion₂.2 ⟨n + m, ?_, ?_⟩⟩ · exact add_le_add hn (Nat.one_le_of_lt <| pos_iff_ne_zero.2 hm0) · rwa [Set.mem_preimage, ← iterate_add_apply] at hxm
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import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.Combinatorics.Pigeonhole #align_import dynamics.ergodic.conservative from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" noncomputable section open scoped Classical open Set Filter MeasureTheory Finset Function TopologicalSpace open scoped Classical open Topology variable {ι : Type*} {α : Type*} [MeasurableSpace α] {f : α → α} {s : Set α} {μ : Measure α} namespace MeasureTheory open Measure structure Conservative (f : α → α) (μ : Measure α) extends QuasiMeasurePreserving f μ μ : Prop where exists_mem_iterate_mem : ∀ ⦃s⦄, MeasurableSet s → μ s ≠ 0 → ∃ x ∈ s, ∃ m ≠ 0, f^[m] x ∈ s #align measure_theory.conservative MeasureTheory.Conservative protected theorem MeasurePreserving.conservative [IsFiniteMeasure μ] (h : MeasurePreserving f μ μ) : Conservative f μ := ⟨h.quasiMeasurePreserving, fun _ hsm h0 => h.exists_mem_iterate_mem hsm h0⟩ #align measure_theory.measure_preserving.conservative MeasureTheory.MeasurePreserving.conservative namespace Conservative protected theorem id (μ : Measure α) : Conservative id μ := { toQuasiMeasurePreserving := QuasiMeasurePreserving.id μ exists_mem_iterate_mem := fun _ _ h0 => let ⟨x, hx⟩ := nonempty_of_measure_ne_zero h0 ⟨x, hx, 1, one_ne_zero, hx⟩ } #align measure_theory.conservative.id MeasureTheory.Conservative.id theorem frequently_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) : ∃ᶠ m in atTop, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := by by_contra H simp only [not_frequently, eventually_atTop, Ne, Classical.not_not] at H rcases H with ⟨N, hN⟩ induction' N with N ihN · apply h0 simpa using hN 0 le_rfl rw [imp_false] at ihN push_neg at ihN rcases ihN with ⟨n, hn, hμn⟩ set T := s ∩ ⋃ n ≥ N + 1, f^[n] ⁻¹' s have hT : MeasurableSet T := hs.inter (MeasurableSet.biUnion (to_countable _) fun _ _ => hf.measurable.iterate _ hs) have hμT : μ T = 0 := by convert (measure_biUnion_null_iff <| to_countable _).2 hN rw [← inter_iUnion₂] rfl have : μ ((s ∩ f^[n] ⁻¹' s) \ T) ≠ 0 := by rwa [measure_diff_null hμT] rcases hf.exists_mem_iterate_mem ((hs.inter (hf.measurable.iterate n hs)).diff hT) this with ⟨x, ⟨⟨hxs, _⟩, hxT⟩, m, hm0, ⟨_, hxm⟩, _⟩ refine hxT ⟨hxs, mem_iUnion₂.2 ⟨n + m, ?_, ?_⟩⟩ · exact add_le_add hn (Nat.one_le_of_lt <| pos_iff_ne_zero.2 hm0) · rwa [Set.mem_preimage, ← iterate_add_apply] at hxm #align measure_theory.conservative.frequently_measure_inter_ne_zero MeasureTheory.Conservative.frequently_measure_inter_ne_zero theorem exists_gt_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) (N : ℕ) : ∃ m > N, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := let ⟨m, hm, hmN⟩ := ((hf.frequently_measure_inter_ne_zero hs h0).and_eventually (eventually_gt_atTop N)).exists ⟨m, hmN, hm⟩ #align measure_theory.conservative.exists_gt_measure_inter_ne_zero MeasureTheory.Conservative.exists_gt_measure_inter_ne_zero
Mathlib/Dynamics/Ergodic/Conservative.lean
121
130
theorem measure_mem_forall_ge_image_not_mem_eq_zero (hf : Conservative f μ) (hs : MeasurableSet s) (n : ℕ) : μ ({ x ∈ s | ∀ m ≥ n, f^[m] x ∉ s }) = 0 := by
by_contra H have : MeasurableSet (s ∩ { x | ∀ m ≥ n, f^[m] x ∉ s }) := by simp only [setOf_forall, ← compl_setOf] exact hs.inter (MeasurableSet.biInter (to_countable _) fun m _ => hf.measurable.iterate m hs.compl) rcases (hf.exists_gt_measure_inter_ne_zero this H) n with ⟨m, hmn, hm⟩ rcases nonempty_of_measure_ne_zero hm with ⟨x, ⟨_, hxn⟩, hxm, -⟩ exact hxn m hmn.lt.le hxm
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import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.Combinatorics.Pigeonhole #align_import dynamics.ergodic.conservative from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" noncomputable section open scoped Classical open Set Filter MeasureTheory Finset Function TopologicalSpace open scoped Classical open Topology variable {ι : Type*} {α : Type*} [MeasurableSpace α] {f : α → α} {s : Set α} {μ : Measure α} namespace MeasureTheory open Measure structure Conservative (f : α → α) (μ : Measure α) extends QuasiMeasurePreserving f μ μ : Prop where exists_mem_iterate_mem : ∀ ⦃s⦄, MeasurableSet s → μ s ≠ 0 → ∃ x ∈ s, ∃ m ≠ 0, f^[m] x ∈ s #align measure_theory.conservative MeasureTheory.Conservative protected theorem MeasurePreserving.conservative [IsFiniteMeasure μ] (h : MeasurePreserving f μ μ) : Conservative f μ := ⟨h.quasiMeasurePreserving, fun _ hsm h0 => h.exists_mem_iterate_mem hsm h0⟩ #align measure_theory.measure_preserving.conservative MeasureTheory.MeasurePreserving.conservative namespace Conservative protected theorem id (μ : Measure α) : Conservative id μ := { toQuasiMeasurePreserving := QuasiMeasurePreserving.id μ exists_mem_iterate_mem := fun _ _ h0 => let ⟨x, hx⟩ := nonempty_of_measure_ne_zero h0 ⟨x, hx, 1, one_ne_zero, hx⟩ } #align measure_theory.conservative.id MeasureTheory.Conservative.id theorem frequently_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) : ∃ᶠ m in atTop, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := by by_contra H simp only [not_frequently, eventually_atTop, Ne, Classical.not_not] at H rcases H with ⟨N, hN⟩ induction' N with N ihN · apply h0 simpa using hN 0 le_rfl rw [imp_false] at ihN push_neg at ihN rcases ihN with ⟨n, hn, hμn⟩ set T := s ∩ ⋃ n ≥ N + 1, f^[n] ⁻¹' s have hT : MeasurableSet T := hs.inter (MeasurableSet.biUnion (to_countable _) fun _ _ => hf.measurable.iterate _ hs) have hμT : μ T = 0 := by convert (measure_biUnion_null_iff <| to_countable _).2 hN rw [← inter_iUnion₂] rfl have : μ ((s ∩ f^[n] ⁻¹' s) \ T) ≠ 0 := by rwa [measure_diff_null hμT] rcases hf.exists_mem_iterate_mem ((hs.inter (hf.measurable.iterate n hs)).diff hT) this with ⟨x, ⟨⟨hxs, _⟩, hxT⟩, m, hm0, ⟨_, hxm⟩, _⟩ refine hxT ⟨hxs, mem_iUnion₂.2 ⟨n + m, ?_, ?_⟩⟩ · exact add_le_add hn (Nat.one_le_of_lt <| pos_iff_ne_zero.2 hm0) · rwa [Set.mem_preimage, ← iterate_add_apply] at hxm #align measure_theory.conservative.frequently_measure_inter_ne_zero MeasureTheory.Conservative.frequently_measure_inter_ne_zero theorem exists_gt_measure_inter_ne_zero (hf : Conservative f μ) (hs : MeasurableSet s) (h0 : μ s ≠ 0) (N : ℕ) : ∃ m > N, μ (s ∩ f^[m] ⁻¹' s) ≠ 0 := let ⟨m, hm, hmN⟩ := ((hf.frequently_measure_inter_ne_zero hs h0).and_eventually (eventually_gt_atTop N)).exists ⟨m, hmN, hm⟩ #align measure_theory.conservative.exists_gt_measure_inter_ne_zero MeasureTheory.Conservative.exists_gt_measure_inter_ne_zero theorem measure_mem_forall_ge_image_not_mem_eq_zero (hf : Conservative f μ) (hs : MeasurableSet s) (n : ℕ) : μ ({ x ∈ s | ∀ m ≥ n, f^[m] x ∉ s }) = 0 := by by_contra H have : MeasurableSet (s ∩ { x | ∀ m ≥ n, f^[m] x ∉ s }) := by simp only [setOf_forall, ← compl_setOf] exact hs.inter (MeasurableSet.biInter (to_countable _) fun m _ => hf.measurable.iterate m hs.compl) rcases (hf.exists_gt_measure_inter_ne_zero this H) n with ⟨m, hmn, hm⟩ rcases nonempty_of_measure_ne_zero hm with ⟨x, ⟨_, hxn⟩, hxm, -⟩ exact hxn m hmn.lt.le hxm #align measure_theory.conservative.measure_mem_forall_ge_image_not_mem_eq_zero MeasureTheory.Conservative.measure_mem_forall_ge_image_not_mem_eq_zero
Mathlib/Dynamics/Ergodic/Conservative.lean
135
140
theorem ae_mem_imp_frequently_image_mem (hf : Conservative f μ) (hs : MeasurableSet s) : ∀ᵐ x ∂μ, x ∈ s → ∃ᶠ n in atTop, f^[n] x ∈ s := by
simp only [frequently_atTop, @forall_swap (_ ∈ s), ae_all_iff] intro n filter_upwards [measure_zero_iff_ae_nmem.1 (hf.measure_mem_forall_ge_image_not_mem_eq_zero hs n)] simp
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import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.MeasureTheory.Covering.VitaliFamily import Mathlib.Data.Set.Pairwise.Lattice #align_import measure_theory.covering.vitali from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" variable {α ι : Type*} open Set Metric MeasureTheory TopologicalSpace Filter open scoped NNReal Classical ENNReal Topology namespace Vitali
Mathlib/MeasureTheory/Covering/Vitali.lean
58
153
theorem exists_disjoint_subfamily_covering_enlargment (B : ι → Set α) (t : Set ι) (δ : ι → ℝ) (τ : ℝ) (hτ : 1 < τ) (δnonneg : ∀ a ∈ t, 0 ≤ δ a) (R : ℝ) (δle : ∀ a ∈ t, δ a ≤ R) (hne : ∀ a ∈ t, (B a).Nonempty) : ∃ u ⊆ t, u.PairwiseDisjoint B ∧ ∀ a ∈ t, ∃ b ∈ u, (B a ∩ B b).Nonempty ∧ δ a ≤ τ * δ b := by
/- The proof could be formulated as a transfinite induction. First pick an element of `t` with `δ` as large as possible (up to a factor of `τ`). Then among the remaining elements not intersecting the already chosen one, pick another element with large `δ`. Go on forever (transfinitely) until there is nothing left. Instead, we give a direct Zorn-based argument. Consider a maximal family `u` of disjoint sets with the following property: if an element `a` of `t` intersects some element `b` of `u`, then it intersects some `b' ∈ u` with `δ b' ≥ δ a / τ`. Such a maximal family exists by Zorn. If this family did not intersect some element `a ∈ t`, then take an element `a' ∈ t` which does not intersect any element of `u`, with `δ a'` almost as large as possible. One checks easily that `u ∪ {a'}` still has this property, contradicting the maximality. Therefore, `u` intersects all elements of `t`, and by definition it satisfies all the desired properties. -/ let T : Set (Set ι) := { u | u ⊆ t ∧ u.PairwiseDisjoint B ∧ ∀ a ∈ t, ∀ b ∈ u, (B a ∩ B b).Nonempty → ∃ c ∈ u, (B a ∩ B c).Nonempty ∧ δ a ≤ τ * δ c } -- By Zorn, choose a maximal family in the good set `T` of disjoint families. obtain ⟨u, uT, hu⟩ : ∃ u ∈ T, ∀ v ∈ T, u ⊆ v → v = u := by refine zorn_subset _ fun U UT hU => ?_ refine ⟨⋃₀ U, ?_, fun s hs => subset_sUnion_of_mem hs⟩ simp only [T, Set.sUnion_subset_iff, and_imp, exists_prop, forall_exists_index, mem_sUnion, Set.mem_setOf_eq] refine ⟨fun u hu => (UT hu).1, (pairwiseDisjoint_sUnion hU.directedOn).2 fun u hu => (UT hu).2.1, fun a hat b u uU hbu hab => ?_⟩ obtain ⟨c, cu, ac, hc⟩ : ∃ c, c ∈ u ∧ (B a ∩ B c).Nonempty ∧ δ a ≤ τ * δ c := (UT uU).2.2 a hat b hbu hab exact ⟨c, ⟨u, uU, cu⟩, ac, hc⟩ -- The only nontrivial bit is to check that every `a ∈ t` intersects an element `b ∈ u` with -- comparatively large `δ b`. Assume this is not the case, then we will contradict the maximality. refine ⟨u, uT.1, uT.2.1, fun a hat => ?_⟩ contrapose! hu have a_disj : ∀ c ∈ u, Disjoint (B a) (B c) := by intro c hc by_contra h rw [not_disjoint_iff_nonempty_inter] at h obtain ⟨d, du, ad, hd⟩ : ∃ d, d ∈ u ∧ (B a ∩ B d).Nonempty ∧ δ a ≤ τ * δ d := uT.2.2 a hat c hc h exact lt_irrefl _ ((hu d du ad).trans_le hd) -- Let `A` be all the elements of `t` which do not intersect the family `u`. It is nonempty as it -- contains `a`. We will pick an element `a'` of `A` with `δ a'` almost as large as possible. let A := { a' | a' ∈ t ∧ ∀ c ∈ u, Disjoint (B a') (B c) } have Anonempty : A.Nonempty := ⟨a, hat, a_disj⟩ let m := sSup (δ '' A) have bddA : BddAbove (δ '' A) := by refine ⟨R, fun x xA => ?_⟩ rcases (mem_image _ _ _).1 xA with ⟨a', ha', rfl⟩ exact δle a' ha'.1 obtain ⟨a', a'A, ha'⟩ : ∃ a' ∈ A, m / τ ≤ δ a' := by have : 0 ≤ m := (δnonneg a hat).trans (le_csSup bddA (mem_image_of_mem _ ⟨hat, a_disj⟩)) rcases eq_or_lt_of_le this with (mzero | mpos) · refine ⟨a, ⟨hat, a_disj⟩, ?_⟩ simpa only [← mzero, zero_div] using δnonneg a hat · have I : m / τ < m := by rw [div_lt_iff (zero_lt_one.trans hτ)] conv_lhs => rw [← mul_one m] exact (mul_lt_mul_left mpos).2 hτ rcases exists_lt_of_lt_csSup (Anonempty.image _) I with ⟨x, xA, hx⟩ rcases (mem_image _ _ _).1 xA with ⟨a', ha', rfl⟩ exact ⟨a', ha', hx.le⟩ clear hat hu a_disj a have a'_ne_u : a' ∉ u := fun H => (hne _ a'A.1).ne_empty (disjoint_self.1 (a'A.2 _ H)) -- we claim that `u ∪ {a'}` still belongs to `T`, contradicting the maximality of `u`. refine ⟨insert a' u, ⟨?_, ?_, ?_⟩, subset_insert _ _, (ne_insert_of_not_mem _ a'_ne_u).symm⟩ · -- check that `u ∪ {a'}` is made of elements of `t`. rw [insert_subset_iff] exact ⟨a'A.1, uT.1⟩ · -- Check that `u ∪ {a'}` is a disjoint family. This follows from the fact that `a'` does not -- intersect `u`. exact uT.2.1.insert fun b bu _ => a'A.2 b bu · -- check that every element `c` of `t` intersecting `u ∪ {a'}` intersects an element of this -- family with large `δ`. intro c ct b ba'u hcb -- if `c` already intersects an element of `u`, then it intersects an element of `u` with -- large `δ` by the assumption on `u`, and there is nothing left to do. by_cases H : ∃ d ∈ u, (B c ∩ B d).Nonempty · rcases H with ⟨d, du, hd⟩ rcases uT.2.2 c ct d du hd with ⟨d', d'u, hd'⟩ exact ⟨d', mem_insert_of_mem _ d'u, hd'⟩ · -- Otherwise, `c` belongs to `A`. The element of `u ∪ {a'}` that it intersects has to be `a'`. -- Moreover, `δ c` is smaller than the maximum `m` of `δ` over `A`, which is `≤ δ a' / τ` -- thanks to the good choice of `a'`. This is the desired inequality. push_neg at H simp only [← disjoint_iff_inter_eq_empty] at H rcases mem_insert_iff.1 ba'u with (rfl | H') · refine ⟨b, mem_insert _ _, hcb, ?_⟩ calc δ c ≤ m := le_csSup bddA (mem_image_of_mem _ ⟨ct, H⟩) _ = τ * (m / τ) := by field_simp [(zero_lt_one.trans hτ).ne'] _ ≤ τ * δ b := by gcongr · rw [← not_disjoint_iff_nonempty_inter] at hcb exact (hcb (H _ H')).elim
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import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.measure.open_pos from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal MeasureTheory open Set Function Filter namespace MeasureTheory namespace Measure section Basic variable {X Y : Type*} [TopologicalSpace X] {m : MeasurableSpace X} [TopologicalSpace Y] [T2Space Y] (μ ν : Measure X) class IsOpenPosMeasure : Prop where open_pos : ∀ U : Set X, IsOpen U → U.Nonempty → μ U ≠ 0 #align measure_theory.measure.is_open_pos_measure MeasureTheory.Measure.IsOpenPosMeasure variable [IsOpenPosMeasure μ] {s U F : Set X} {x : X} theorem _root_.IsOpen.measure_ne_zero (hU : IsOpen U) (hne : U.Nonempty) : μ U ≠ 0 := IsOpenPosMeasure.open_pos U hU hne #align is_open.measure_ne_zero IsOpen.measure_ne_zero theorem _root_.IsOpen.measure_pos (hU : IsOpen U) (hne : U.Nonempty) : 0 < μ U := (hU.measure_ne_zero μ hne).bot_lt #align is_open.measure_pos IsOpen.measure_pos instance (priority := 100) [Nonempty X] : NeZero μ := ⟨measure_univ_pos.mp <| isOpen_univ.measure_pos μ univ_nonempty⟩ theorem _root_.IsOpen.measure_pos_iff (hU : IsOpen U) : 0 < μ U ↔ U.Nonempty := ⟨fun h => nonempty_iff_ne_empty.2 fun he => h.ne' <| he.symm ▸ measure_empty, hU.measure_pos μ⟩ #align is_open.measure_pos_iff IsOpen.measure_pos_iff
Mathlib/MeasureTheory/Measure/OpenPos.lean
57
59
theorem _root_.IsOpen.measure_eq_zero_iff (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := by
simpa only [not_lt, nonpos_iff_eq_zero, not_nonempty_iff_eq_empty] using not_congr (hU.measure_pos_iff μ)
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import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.measure.open_pos from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal MeasureTheory open Set Function Filter namespace MeasureTheory namespace Measure section Basic variable {X Y : Type*} [TopologicalSpace X] {m : MeasurableSpace X} [TopologicalSpace Y] [T2Space Y] (μ ν : Measure X) class IsOpenPosMeasure : Prop where open_pos : ∀ U : Set X, IsOpen U → U.Nonempty → μ U ≠ 0 #align measure_theory.measure.is_open_pos_measure MeasureTheory.Measure.IsOpenPosMeasure variable [IsOpenPosMeasure μ] {s U F : Set X} {x : X} theorem _root_.IsOpen.measure_ne_zero (hU : IsOpen U) (hne : U.Nonempty) : μ U ≠ 0 := IsOpenPosMeasure.open_pos U hU hne #align is_open.measure_ne_zero IsOpen.measure_ne_zero theorem _root_.IsOpen.measure_pos (hU : IsOpen U) (hne : U.Nonempty) : 0 < μ U := (hU.measure_ne_zero μ hne).bot_lt #align is_open.measure_pos IsOpen.measure_pos instance (priority := 100) [Nonempty X] : NeZero μ := ⟨measure_univ_pos.mp <| isOpen_univ.measure_pos μ univ_nonempty⟩ theorem _root_.IsOpen.measure_pos_iff (hU : IsOpen U) : 0 < μ U ↔ U.Nonempty := ⟨fun h => nonempty_iff_ne_empty.2 fun he => h.ne' <| he.symm ▸ measure_empty, hU.measure_pos μ⟩ #align is_open.measure_pos_iff IsOpen.measure_pos_iff theorem _root_.IsOpen.measure_eq_zero_iff (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := by simpa only [not_lt, nonpos_iff_eq_zero, not_nonempty_iff_eq_empty] using not_congr (hU.measure_pos_iff μ) #align is_open.measure_eq_zero_iff IsOpen.measure_eq_zero_iff theorem measure_pos_of_nonempty_interior (h : (interior s).Nonempty) : 0 < μ s := (isOpen_interior.measure_pos μ h).trans_le (measure_mono interior_subset) #align measure_theory.measure.measure_pos_of_nonempty_interior MeasureTheory.Measure.measure_pos_of_nonempty_interior theorem measure_pos_of_mem_nhds (h : s ∈ 𝓝 x) : 0 < μ s := measure_pos_of_nonempty_interior _ ⟨x, mem_interior_iff_mem_nhds.2 h⟩ #align measure_theory.measure.measure_pos_of_mem_nhds MeasureTheory.Measure.measure_pos_of_mem_nhds theorem isOpenPosMeasure_smul {c : ℝ≥0∞} (h : c ≠ 0) : IsOpenPosMeasure (c • μ) := ⟨fun _U Uo Une => mul_ne_zero h (Uo.measure_ne_zero μ Une)⟩ #align measure_theory.measure.is_open_pos_measure_smul MeasureTheory.Measure.isOpenPosMeasure_smul variable {μ ν} protected theorem AbsolutelyContinuous.isOpenPosMeasure (h : μ ≪ ν) : IsOpenPosMeasure ν := ⟨fun _U ho hne h₀ => ho.measure_ne_zero μ hne (h h₀)⟩ #align measure_theory.measure.absolutely_continuous.is_open_pos_measure MeasureTheory.Measure.AbsolutelyContinuous.isOpenPosMeasure theorem _root_.LE.le.isOpenPosMeasure (h : μ ≤ ν) : IsOpenPosMeasure ν := h.absolutelyContinuous.isOpenPosMeasure #align has_le.le.is_open_pos_measure LE.le.isOpenPosMeasure theorem _root_.IsOpen.measure_zero_iff_eq_empty (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := ⟨fun h ↦ (hU.measure_eq_zero_iff μ).mp h, fun h ↦ by simp [h]⟩
Mathlib/MeasureTheory/Measure/OpenPos.lean
88
90
theorem _root_.IsOpen.ae_eq_empty_iff_eq (hU : IsOpen U) : U =ᵐ[μ] (∅ : Set X) ↔ U = ∅ := by
rw [ae_eq_empty, hU.measure_zero_iff_eq_empty]
1,439
import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.measure.open_pos from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal MeasureTheory open Set Function Filter namespace MeasureTheory namespace Measure section Basic variable {X Y : Type*} [TopologicalSpace X] {m : MeasurableSpace X} [TopologicalSpace Y] [T2Space Y] (μ ν : Measure X) class IsOpenPosMeasure : Prop where open_pos : ∀ U : Set X, IsOpen U → U.Nonempty → μ U ≠ 0 #align measure_theory.measure.is_open_pos_measure MeasureTheory.Measure.IsOpenPosMeasure variable [IsOpenPosMeasure μ] {s U F : Set X} {x : X} theorem _root_.IsOpen.measure_ne_zero (hU : IsOpen U) (hne : U.Nonempty) : μ U ≠ 0 := IsOpenPosMeasure.open_pos U hU hne #align is_open.measure_ne_zero IsOpen.measure_ne_zero theorem _root_.IsOpen.measure_pos (hU : IsOpen U) (hne : U.Nonempty) : 0 < μ U := (hU.measure_ne_zero μ hne).bot_lt #align is_open.measure_pos IsOpen.measure_pos instance (priority := 100) [Nonempty X] : NeZero μ := ⟨measure_univ_pos.mp <| isOpen_univ.measure_pos μ univ_nonempty⟩ theorem _root_.IsOpen.measure_pos_iff (hU : IsOpen U) : 0 < μ U ↔ U.Nonempty := ⟨fun h => nonempty_iff_ne_empty.2 fun he => h.ne' <| he.symm ▸ measure_empty, hU.measure_pos μ⟩ #align is_open.measure_pos_iff IsOpen.measure_pos_iff theorem _root_.IsOpen.measure_eq_zero_iff (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := by simpa only [not_lt, nonpos_iff_eq_zero, not_nonempty_iff_eq_empty] using not_congr (hU.measure_pos_iff μ) #align is_open.measure_eq_zero_iff IsOpen.measure_eq_zero_iff theorem measure_pos_of_nonempty_interior (h : (interior s).Nonempty) : 0 < μ s := (isOpen_interior.measure_pos μ h).trans_le (measure_mono interior_subset) #align measure_theory.measure.measure_pos_of_nonempty_interior MeasureTheory.Measure.measure_pos_of_nonempty_interior theorem measure_pos_of_mem_nhds (h : s ∈ 𝓝 x) : 0 < μ s := measure_pos_of_nonempty_interior _ ⟨x, mem_interior_iff_mem_nhds.2 h⟩ #align measure_theory.measure.measure_pos_of_mem_nhds MeasureTheory.Measure.measure_pos_of_mem_nhds theorem isOpenPosMeasure_smul {c : ℝ≥0∞} (h : c ≠ 0) : IsOpenPosMeasure (c • μ) := ⟨fun _U Uo Une => mul_ne_zero h (Uo.measure_ne_zero μ Une)⟩ #align measure_theory.measure.is_open_pos_measure_smul MeasureTheory.Measure.isOpenPosMeasure_smul variable {μ ν} protected theorem AbsolutelyContinuous.isOpenPosMeasure (h : μ ≪ ν) : IsOpenPosMeasure ν := ⟨fun _U ho hne h₀ => ho.measure_ne_zero μ hne (h h₀)⟩ #align measure_theory.measure.absolutely_continuous.is_open_pos_measure MeasureTheory.Measure.AbsolutelyContinuous.isOpenPosMeasure theorem _root_.LE.le.isOpenPosMeasure (h : μ ≤ ν) : IsOpenPosMeasure ν := h.absolutelyContinuous.isOpenPosMeasure #align has_le.le.is_open_pos_measure LE.le.isOpenPosMeasure theorem _root_.IsOpen.measure_zero_iff_eq_empty (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := ⟨fun h ↦ (hU.measure_eq_zero_iff μ).mp h, fun h ↦ by simp [h]⟩ theorem _root_.IsOpen.ae_eq_empty_iff_eq (hU : IsOpen U) : U =ᵐ[μ] (∅ : Set X) ↔ U = ∅ := by rw [ae_eq_empty, hU.measure_zero_iff_eq_empty] theorem _root_.IsOpen.eq_empty_of_measure_zero (hU : IsOpen U) (h₀ : μ U = 0) : U = ∅ := (hU.measure_eq_zero_iff μ).mp h₀ #align is_open.eq_empty_of_measure_zero IsOpen.eq_empty_of_measure_zero
Mathlib/MeasureTheory/Measure/OpenPos.lean
97
100
theorem _root_.IsClosed.ae_eq_univ_iff_eq (hF : IsClosed F) : F =ᵐ[μ] univ ↔ F = univ := by
refine ⟨fun h ↦ ?_, fun h ↦ by rw [h]⟩ rwa [ae_eq_univ, hF.isOpen_compl.measure_eq_zero_iff μ, compl_empty_iff] at h
1,439
import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.measure.open_pos from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal MeasureTheory open Set Function Filter namespace MeasureTheory namespace Measure section Basic variable {X Y : Type*} [TopologicalSpace X] {m : MeasurableSpace X} [TopologicalSpace Y] [T2Space Y] (μ ν : Measure X) class IsOpenPosMeasure : Prop where open_pos : ∀ U : Set X, IsOpen U → U.Nonempty → μ U ≠ 0 #align measure_theory.measure.is_open_pos_measure MeasureTheory.Measure.IsOpenPosMeasure variable [IsOpenPosMeasure μ] {s U F : Set X} {x : X} theorem _root_.IsOpen.measure_ne_zero (hU : IsOpen U) (hne : U.Nonempty) : μ U ≠ 0 := IsOpenPosMeasure.open_pos U hU hne #align is_open.measure_ne_zero IsOpen.measure_ne_zero theorem _root_.IsOpen.measure_pos (hU : IsOpen U) (hne : U.Nonempty) : 0 < μ U := (hU.measure_ne_zero μ hne).bot_lt #align is_open.measure_pos IsOpen.measure_pos instance (priority := 100) [Nonempty X] : NeZero μ := ⟨measure_univ_pos.mp <| isOpen_univ.measure_pos μ univ_nonempty⟩ theorem _root_.IsOpen.measure_pos_iff (hU : IsOpen U) : 0 < μ U ↔ U.Nonempty := ⟨fun h => nonempty_iff_ne_empty.2 fun he => h.ne' <| he.symm ▸ measure_empty, hU.measure_pos μ⟩ #align is_open.measure_pos_iff IsOpen.measure_pos_iff theorem _root_.IsOpen.measure_eq_zero_iff (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := by simpa only [not_lt, nonpos_iff_eq_zero, not_nonempty_iff_eq_empty] using not_congr (hU.measure_pos_iff μ) #align is_open.measure_eq_zero_iff IsOpen.measure_eq_zero_iff theorem measure_pos_of_nonempty_interior (h : (interior s).Nonempty) : 0 < μ s := (isOpen_interior.measure_pos μ h).trans_le (measure_mono interior_subset) #align measure_theory.measure.measure_pos_of_nonempty_interior MeasureTheory.Measure.measure_pos_of_nonempty_interior theorem measure_pos_of_mem_nhds (h : s ∈ 𝓝 x) : 0 < μ s := measure_pos_of_nonempty_interior _ ⟨x, mem_interior_iff_mem_nhds.2 h⟩ #align measure_theory.measure.measure_pos_of_mem_nhds MeasureTheory.Measure.measure_pos_of_mem_nhds theorem isOpenPosMeasure_smul {c : ℝ≥0∞} (h : c ≠ 0) : IsOpenPosMeasure (c • μ) := ⟨fun _U Uo Une => mul_ne_zero h (Uo.measure_ne_zero μ Une)⟩ #align measure_theory.measure.is_open_pos_measure_smul MeasureTheory.Measure.isOpenPosMeasure_smul variable {μ ν} protected theorem AbsolutelyContinuous.isOpenPosMeasure (h : μ ≪ ν) : IsOpenPosMeasure ν := ⟨fun _U ho hne h₀ => ho.measure_ne_zero μ hne (h h₀)⟩ #align measure_theory.measure.absolutely_continuous.is_open_pos_measure MeasureTheory.Measure.AbsolutelyContinuous.isOpenPosMeasure theorem _root_.LE.le.isOpenPosMeasure (h : μ ≤ ν) : IsOpenPosMeasure ν := h.absolutelyContinuous.isOpenPosMeasure #align has_le.le.is_open_pos_measure LE.le.isOpenPosMeasure theorem _root_.IsOpen.measure_zero_iff_eq_empty (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := ⟨fun h ↦ (hU.measure_eq_zero_iff μ).mp h, fun h ↦ by simp [h]⟩ theorem _root_.IsOpen.ae_eq_empty_iff_eq (hU : IsOpen U) : U =ᵐ[μ] (∅ : Set X) ↔ U = ∅ := by rw [ae_eq_empty, hU.measure_zero_iff_eq_empty] theorem _root_.IsOpen.eq_empty_of_measure_zero (hU : IsOpen U) (h₀ : μ U = 0) : U = ∅ := (hU.measure_eq_zero_iff μ).mp h₀ #align is_open.eq_empty_of_measure_zero IsOpen.eq_empty_of_measure_zero theorem _root_.IsClosed.ae_eq_univ_iff_eq (hF : IsClosed F) : F =ᵐ[μ] univ ↔ F = univ := by refine ⟨fun h ↦ ?_, fun h ↦ by rw [h]⟩ rwa [ae_eq_univ, hF.isOpen_compl.measure_eq_zero_iff μ, compl_empty_iff] at h
Mathlib/MeasureTheory/Measure/OpenPos.lean
102
105
theorem _root_.IsClosed.measure_eq_univ_iff_eq [OpensMeasurableSpace X] [IsFiniteMeasure μ] (hF : IsClosed F) : μ F = μ univ ↔ F = univ := by
rw [← ae_eq_univ_iff_measure_eq hF.measurableSet.nullMeasurableSet, hF.ae_eq_univ_iff_eq]
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import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.measure.open_pos from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal MeasureTheory open Set Function Filter namespace MeasureTheory namespace Measure section Basic variable {X Y : Type*} [TopologicalSpace X] {m : MeasurableSpace X} [TopologicalSpace Y] [T2Space Y] (μ ν : Measure X) class IsOpenPosMeasure : Prop where open_pos : ∀ U : Set X, IsOpen U → U.Nonempty → μ U ≠ 0 #align measure_theory.measure.is_open_pos_measure MeasureTheory.Measure.IsOpenPosMeasure variable [IsOpenPosMeasure μ] {s U F : Set X} {x : X} theorem _root_.IsOpen.measure_ne_zero (hU : IsOpen U) (hne : U.Nonempty) : μ U ≠ 0 := IsOpenPosMeasure.open_pos U hU hne #align is_open.measure_ne_zero IsOpen.measure_ne_zero theorem _root_.IsOpen.measure_pos (hU : IsOpen U) (hne : U.Nonempty) : 0 < μ U := (hU.measure_ne_zero μ hne).bot_lt #align is_open.measure_pos IsOpen.measure_pos instance (priority := 100) [Nonempty X] : NeZero μ := ⟨measure_univ_pos.mp <| isOpen_univ.measure_pos μ univ_nonempty⟩ theorem _root_.IsOpen.measure_pos_iff (hU : IsOpen U) : 0 < μ U ↔ U.Nonempty := ⟨fun h => nonempty_iff_ne_empty.2 fun he => h.ne' <| he.symm ▸ measure_empty, hU.measure_pos μ⟩ #align is_open.measure_pos_iff IsOpen.measure_pos_iff theorem _root_.IsOpen.measure_eq_zero_iff (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := by simpa only [not_lt, nonpos_iff_eq_zero, not_nonempty_iff_eq_empty] using not_congr (hU.measure_pos_iff μ) #align is_open.measure_eq_zero_iff IsOpen.measure_eq_zero_iff theorem measure_pos_of_nonempty_interior (h : (interior s).Nonempty) : 0 < μ s := (isOpen_interior.measure_pos μ h).trans_le (measure_mono interior_subset) #align measure_theory.measure.measure_pos_of_nonempty_interior MeasureTheory.Measure.measure_pos_of_nonempty_interior theorem measure_pos_of_mem_nhds (h : s ∈ 𝓝 x) : 0 < μ s := measure_pos_of_nonempty_interior _ ⟨x, mem_interior_iff_mem_nhds.2 h⟩ #align measure_theory.measure.measure_pos_of_mem_nhds MeasureTheory.Measure.measure_pos_of_mem_nhds theorem isOpenPosMeasure_smul {c : ℝ≥0∞} (h : c ≠ 0) : IsOpenPosMeasure (c • μ) := ⟨fun _U Uo Une => mul_ne_zero h (Uo.measure_ne_zero μ Une)⟩ #align measure_theory.measure.is_open_pos_measure_smul MeasureTheory.Measure.isOpenPosMeasure_smul variable {μ ν} protected theorem AbsolutelyContinuous.isOpenPosMeasure (h : μ ≪ ν) : IsOpenPosMeasure ν := ⟨fun _U ho hne h₀ => ho.measure_ne_zero μ hne (h h₀)⟩ #align measure_theory.measure.absolutely_continuous.is_open_pos_measure MeasureTheory.Measure.AbsolutelyContinuous.isOpenPosMeasure theorem _root_.LE.le.isOpenPosMeasure (h : μ ≤ ν) : IsOpenPosMeasure ν := h.absolutelyContinuous.isOpenPosMeasure #align has_le.le.is_open_pos_measure LE.le.isOpenPosMeasure theorem _root_.IsOpen.measure_zero_iff_eq_empty (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := ⟨fun h ↦ (hU.measure_eq_zero_iff μ).mp h, fun h ↦ by simp [h]⟩ theorem _root_.IsOpen.ae_eq_empty_iff_eq (hU : IsOpen U) : U =ᵐ[μ] (∅ : Set X) ↔ U = ∅ := by rw [ae_eq_empty, hU.measure_zero_iff_eq_empty] theorem _root_.IsOpen.eq_empty_of_measure_zero (hU : IsOpen U) (h₀ : μ U = 0) : U = ∅ := (hU.measure_eq_zero_iff μ).mp h₀ #align is_open.eq_empty_of_measure_zero IsOpen.eq_empty_of_measure_zero theorem _root_.IsClosed.ae_eq_univ_iff_eq (hF : IsClosed F) : F =ᵐ[μ] univ ↔ F = univ := by refine ⟨fun h ↦ ?_, fun h ↦ by rw [h]⟩ rwa [ae_eq_univ, hF.isOpen_compl.measure_eq_zero_iff μ, compl_empty_iff] at h theorem _root_.IsClosed.measure_eq_univ_iff_eq [OpensMeasurableSpace X] [IsFiniteMeasure μ] (hF : IsClosed F) : μ F = μ univ ↔ F = univ := by rw [← ae_eq_univ_iff_measure_eq hF.measurableSet.nullMeasurableSet, hF.ae_eq_univ_iff_eq]
Mathlib/MeasureTheory/Measure/OpenPos.lean
107
110
theorem _root_.IsClosed.measure_eq_one_iff_eq_univ [OpensMeasurableSpace X] [IsProbabilityMeasure μ] (hF : IsClosed F) : μ F = 1 ↔ F = univ := by
rw [← measure_univ (μ := μ), hF.measure_eq_univ_iff_eq]
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import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic #align_import measure_theory.measure.open_pos from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal MeasureTheory open Set Function Filter namespace MeasureTheory namespace Measure section Basic variable {X Y : Type*} [TopologicalSpace X] {m : MeasurableSpace X} [TopologicalSpace Y] [T2Space Y] (μ ν : Measure X) class IsOpenPosMeasure : Prop where open_pos : ∀ U : Set X, IsOpen U → U.Nonempty → μ U ≠ 0 #align measure_theory.measure.is_open_pos_measure MeasureTheory.Measure.IsOpenPosMeasure variable [IsOpenPosMeasure μ] {s U F : Set X} {x : X} theorem _root_.IsOpen.measure_ne_zero (hU : IsOpen U) (hne : U.Nonempty) : μ U ≠ 0 := IsOpenPosMeasure.open_pos U hU hne #align is_open.measure_ne_zero IsOpen.measure_ne_zero theorem _root_.IsOpen.measure_pos (hU : IsOpen U) (hne : U.Nonempty) : 0 < μ U := (hU.measure_ne_zero μ hne).bot_lt #align is_open.measure_pos IsOpen.measure_pos instance (priority := 100) [Nonempty X] : NeZero μ := ⟨measure_univ_pos.mp <| isOpen_univ.measure_pos μ univ_nonempty⟩ theorem _root_.IsOpen.measure_pos_iff (hU : IsOpen U) : 0 < μ U ↔ U.Nonempty := ⟨fun h => nonempty_iff_ne_empty.2 fun he => h.ne' <| he.symm ▸ measure_empty, hU.measure_pos μ⟩ #align is_open.measure_pos_iff IsOpen.measure_pos_iff theorem _root_.IsOpen.measure_eq_zero_iff (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := by simpa only [not_lt, nonpos_iff_eq_zero, not_nonempty_iff_eq_empty] using not_congr (hU.measure_pos_iff μ) #align is_open.measure_eq_zero_iff IsOpen.measure_eq_zero_iff theorem measure_pos_of_nonempty_interior (h : (interior s).Nonempty) : 0 < μ s := (isOpen_interior.measure_pos μ h).trans_le (measure_mono interior_subset) #align measure_theory.measure.measure_pos_of_nonempty_interior MeasureTheory.Measure.measure_pos_of_nonempty_interior theorem measure_pos_of_mem_nhds (h : s ∈ 𝓝 x) : 0 < μ s := measure_pos_of_nonempty_interior _ ⟨x, mem_interior_iff_mem_nhds.2 h⟩ #align measure_theory.measure.measure_pos_of_mem_nhds MeasureTheory.Measure.measure_pos_of_mem_nhds theorem isOpenPosMeasure_smul {c : ℝ≥0∞} (h : c ≠ 0) : IsOpenPosMeasure (c • μ) := ⟨fun _U Uo Une => mul_ne_zero h (Uo.measure_ne_zero μ Une)⟩ #align measure_theory.measure.is_open_pos_measure_smul MeasureTheory.Measure.isOpenPosMeasure_smul variable {μ ν} protected theorem AbsolutelyContinuous.isOpenPosMeasure (h : μ ≪ ν) : IsOpenPosMeasure ν := ⟨fun _U ho hne h₀ => ho.measure_ne_zero μ hne (h h₀)⟩ #align measure_theory.measure.absolutely_continuous.is_open_pos_measure MeasureTheory.Measure.AbsolutelyContinuous.isOpenPosMeasure theorem _root_.LE.le.isOpenPosMeasure (h : μ ≤ ν) : IsOpenPosMeasure ν := h.absolutelyContinuous.isOpenPosMeasure #align has_le.le.is_open_pos_measure LE.le.isOpenPosMeasure theorem _root_.IsOpen.measure_zero_iff_eq_empty (hU : IsOpen U) : μ U = 0 ↔ U = ∅ := ⟨fun h ↦ (hU.measure_eq_zero_iff μ).mp h, fun h ↦ by simp [h]⟩ theorem _root_.IsOpen.ae_eq_empty_iff_eq (hU : IsOpen U) : U =ᵐ[μ] (∅ : Set X) ↔ U = ∅ := by rw [ae_eq_empty, hU.measure_zero_iff_eq_empty] theorem _root_.IsOpen.eq_empty_of_measure_zero (hU : IsOpen U) (h₀ : μ U = 0) : U = ∅ := (hU.measure_eq_zero_iff μ).mp h₀ #align is_open.eq_empty_of_measure_zero IsOpen.eq_empty_of_measure_zero theorem _root_.IsClosed.ae_eq_univ_iff_eq (hF : IsClosed F) : F =ᵐ[μ] univ ↔ F = univ := by refine ⟨fun h ↦ ?_, fun h ↦ by rw [h]⟩ rwa [ae_eq_univ, hF.isOpen_compl.measure_eq_zero_iff μ, compl_empty_iff] at h theorem _root_.IsClosed.measure_eq_univ_iff_eq [OpensMeasurableSpace X] [IsFiniteMeasure μ] (hF : IsClosed F) : μ F = μ univ ↔ F = univ := by rw [← ae_eq_univ_iff_measure_eq hF.measurableSet.nullMeasurableSet, hF.ae_eq_univ_iff_eq] theorem _root_.IsClosed.measure_eq_one_iff_eq_univ [OpensMeasurableSpace X] [IsProbabilityMeasure μ] (hF : IsClosed F) : μ F = 1 ↔ F = univ := by rw [← measure_univ (μ := μ), hF.measure_eq_univ_iff_eq] theorem interior_eq_empty_of_null (hs : μ s = 0) : interior s = ∅ := isOpen_interior.eq_empty_of_measure_zero <| measure_mono_null interior_subset hs #align measure_theory.measure.interior_eq_empty_of_null MeasureTheory.Measure.interior_eq_empty_of_null
Mathlib/MeasureTheory/Measure/OpenPos.lean
119
130
theorem eqOn_open_of_ae_eq {f g : X → Y} (h : f =ᵐ[μ.restrict U] g) (hU : IsOpen U) (hf : ContinuousOn f U) (hg : ContinuousOn g U) : EqOn f g U := by
replace h := ae_imp_of_ae_restrict h simp only [EventuallyEq, ae_iff, Classical.not_imp] at h have : IsOpen (U ∩ { a | f a ≠ g a }) := by refine isOpen_iff_mem_nhds.mpr fun a ha => inter_mem (hU.mem_nhds ha.1) ?_ rcases ha with ⟨ha : a ∈ U, ha' : (f a, g a) ∈ (diagonal Y)ᶜ⟩ exact (hf.continuousAt (hU.mem_nhds ha)).prod_mk_nhds (hg.continuousAt (hU.mem_nhds ha)) (isClosed_diagonal.isOpen_compl.mem_nhds ha') replace := (this.eq_empty_of_measure_zero h).le exact fun x hx => Classical.not_not.1 fun h => this ⟨hx, h⟩
1,439
import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono
Mathlib/Topology/Semicontinuous.lean
150
152
theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by
simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ]
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import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ] #align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α) (h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy => Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy) #align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s) (hx : x ∈ s) : LowerSemicontinuousWithinAt f s x := h x hx #align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) : LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst #align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono
Mathlib/Topology/Semicontinuous.lean
169
170
theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by
simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff]
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import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ] #align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α) (h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy => Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy) #align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s) (hx : x ∈ s) : LowerSemicontinuousWithinAt f s x := h x hx #align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) : LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst #align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff] #align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) : LowerSemicontinuousAt f x := h x #align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α) (x : α) : LowerSemicontinuousWithinAt f s x := (h x).lowerSemicontinuousWithinAt s #align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) : LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x #align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_at_const lowerSemicontinuousAt_const theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx => lowerSemicontinuousWithinAt_const #align lower_semicontinuous_on_const lowerSemicontinuousOn_const theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x => lowerSemicontinuousAt_const #align lower_semicontinuous_const lowerSemicontinuous_const section variable [Zero β]
Mathlib/Topology/Semicontinuous.lean
213
220
theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuous (indicator s fun _x => y) := by
intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · filter_upwards [hs.mem_nhds h] simp (config := { contextual := true }) [hz] · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz]
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import Mathlib.Analysis.LocallyConvex.WithSeminorms import Mathlib.Topology.Semicontinuous import Mathlib.Topology.Baire.Lemmas open Filter Topology Set ContinuousLinearMap section defs class BarrelledSpace (𝕜 E : Type*) [SeminormedRing 𝕜] [AddGroup E] [SMul 𝕜 E] [TopologicalSpace E] : Prop where continuous_of_lowerSemicontinuous : ∀ p : Seminorm 𝕜 E, LowerSemicontinuous p → Continuous p theorem Seminorm.continuous_of_lowerSemicontinuous {𝕜 E : Type*} [AddGroup E] [SMul 𝕜 E] [SeminormedRing 𝕜] [TopologicalSpace E] [BarrelledSpace 𝕜 E] (p : Seminorm 𝕜 E) (hp : LowerSemicontinuous p) : Continuous p := BarrelledSpace.continuous_of_lowerSemicontinuous p hp
Mathlib/Analysis/LocallyConvex/Barrelled.lean
93
103
theorem Seminorm.continuous_iSup {ι : Sort*} {𝕜 E : Type*} [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [BarrelledSpace 𝕜 E] (p : ι → Seminorm 𝕜 E) (hp : ∀ i, Continuous (p i)) (bdd : BddAbove (range p)) : Continuous (⨆ i, p i) := by
rw [← Seminorm.coe_iSup_eq bdd] refine Seminorm.continuous_of_lowerSemicontinuous _ ?_ rw [Seminorm.coe_iSup_eq bdd] rw [Seminorm.bddAbove_range_iff] at bdd convert lowerSemicontinuous_ciSup (f := fun i x ↦ p i x) bdd (fun i ↦ (hp i).lowerSemicontinuous) exact iSup_apply
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import Mathlib.Topology.Instances.ENNReal import Mathlib.MeasureTheory.Measure.Dirac #align_import probability.probability_mass_function.basic from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal MeasureTheory def PMF.{u} (α : Type u) : Type u := { f : α → ℝ≥0∞ // HasSum f 1 } #align pmf PMF namespace PMF instance instFunLike : FunLike (PMF α) α ℝ≥0∞ where coe p a := p.1 a coe_injective' _ _ h := Subtype.eq h #align pmf.fun_like PMF.instFunLike @[ext] protected theorem ext {p q : PMF α} (h : ∀ x, p x = q x) : p = q := DFunLike.ext p q h #align pmf.ext PMF.ext theorem ext_iff {p q : PMF α} : p = q ↔ ∀ x, p x = q x := DFunLike.ext_iff #align pmf.ext_iff PMF.ext_iff theorem hasSum_coe_one (p : PMF α) : HasSum p 1 := p.2 #align pmf.has_sum_coe_one PMF.hasSum_coe_one @[simp] theorem tsum_coe (p : PMF α) : ∑' a, p a = 1 := p.hasSum_coe_one.tsum_eq #align pmf.tsum_coe PMF.tsum_coe theorem tsum_coe_ne_top (p : PMF α) : ∑' a, p a ≠ ∞ := p.tsum_coe.symm ▸ ENNReal.one_ne_top #align pmf.tsum_coe_ne_top PMF.tsum_coe_ne_top theorem tsum_coe_indicator_ne_top (p : PMF α) (s : Set α) : ∑' a, s.indicator p a ≠ ∞ := ne_of_lt (lt_of_le_of_lt (tsum_le_tsum (fun _ => Set.indicator_apply_le fun _ => le_rfl) ENNReal.summable ENNReal.summable) (lt_of_le_of_ne le_top p.tsum_coe_ne_top)) #align pmf.tsum_coe_indicator_ne_top PMF.tsum_coe_indicator_ne_top @[simp] theorem coe_ne_zero (p : PMF α) : ⇑p ≠ 0 := fun hp => zero_ne_one ((tsum_zero.symm.trans (tsum_congr fun x => symm (congr_fun hp x))).trans p.tsum_coe) #align pmf.coe_ne_zero PMF.coe_ne_zero def support (p : PMF α) : Set α := Function.support p #align pmf.support PMF.support @[simp] theorem mem_support_iff (p : PMF α) (a : α) : a ∈ p.support ↔ p a ≠ 0 := Iff.rfl #align pmf.mem_support_iff PMF.mem_support_iff @[simp] theorem support_nonempty (p : PMF α) : p.support.Nonempty := Function.support_nonempty_iff.2 p.coe_ne_zero #align pmf.support_nonempty PMF.support_nonempty @[simp] theorem support_countable (p : PMF α) : p.support.Countable := Summable.countable_support_ennreal (tsum_coe_ne_top p)
Mathlib/Probability/ProbabilityMassFunction/Basic.lean
107
108
theorem apply_eq_zero_iff (p : PMF α) (a : α) : p a = 0 ↔ a ∉ p.support := by
rw [mem_support_iff, Classical.not_not]
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import Mathlib.Topology.Instances.ENNReal import Mathlib.MeasureTheory.Measure.Dirac #align_import probability.probability_mass_function.basic from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal MeasureTheory def PMF.{u} (α : Type u) : Type u := { f : α → ℝ≥0∞ // HasSum f 1 } #align pmf PMF namespace PMF instance instFunLike : FunLike (PMF α) α ℝ≥0∞ where coe p a := p.1 a coe_injective' _ _ h := Subtype.eq h #align pmf.fun_like PMF.instFunLike @[ext] protected theorem ext {p q : PMF α} (h : ∀ x, p x = q x) : p = q := DFunLike.ext p q h #align pmf.ext PMF.ext theorem ext_iff {p q : PMF α} : p = q ↔ ∀ x, p x = q x := DFunLike.ext_iff #align pmf.ext_iff PMF.ext_iff theorem hasSum_coe_one (p : PMF α) : HasSum p 1 := p.2 #align pmf.has_sum_coe_one PMF.hasSum_coe_one @[simp] theorem tsum_coe (p : PMF α) : ∑' a, p a = 1 := p.hasSum_coe_one.tsum_eq #align pmf.tsum_coe PMF.tsum_coe theorem tsum_coe_ne_top (p : PMF α) : ∑' a, p a ≠ ∞ := p.tsum_coe.symm ▸ ENNReal.one_ne_top #align pmf.tsum_coe_ne_top PMF.tsum_coe_ne_top theorem tsum_coe_indicator_ne_top (p : PMF α) (s : Set α) : ∑' a, s.indicator p a ≠ ∞ := ne_of_lt (lt_of_le_of_lt (tsum_le_tsum (fun _ => Set.indicator_apply_le fun _ => le_rfl) ENNReal.summable ENNReal.summable) (lt_of_le_of_ne le_top p.tsum_coe_ne_top)) #align pmf.tsum_coe_indicator_ne_top PMF.tsum_coe_indicator_ne_top @[simp] theorem coe_ne_zero (p : PMF α) : ⇑p ≠ 0 := fun hp => zero_ne_one ((tsum_zero.symm.trans (tsum_congr fun x => symm (congr_fun hp x))).trans p.tsum_coe) #align pmf.coe_ne_zero PMF.coe_ne_zero def support (p : PMF α) : Set α := Function.support p #align pmf.support PMF.support @[simp] theorem mem_support_iff (p : PMF α) (a : α) : a ∈ p.support ↔ p a ≠ 0 := Iff.rfl #align pmf.mem_support_iff PMF.mem_support_iff @[simp] theorem support_nonempty (p : PMF α) : p.support.Nonempty := Function.support_nonempty_iff.2 p.coe_ne_zero #align pmf.support_nonempty PMF.support_nonempty @[simp] theorem support_countable (p : PMF α) : p.support.Countable := Summable.countable_support_ennreal (tsum_coe_ne_top p) theorem apply_eq_zero_iff (p : PMF α) (a : α) : p a = 0 ↔ a ∉ p.support := by rw [mem_support_iff, Classical.not_not] #align pmf.apply_eq_zero_iff PMF.apply_eq_zero_iff theorem apply_pos_iff (p : PMF α) (a : α) : 0 < p a ↔ a ∈ p.support := pos_iff_ne_zero.trans (p.mem_support_iff a).symm #align pmf.apply_pos_iff PMF.apply_pos_iff
Mathlib/Probability/ProbabilityMassFunction/Basic.lean
115
133
theorem apply_eq_one_iff (p : PMF α) (a : α) : p a = 1 ↔ p.support = {a} := by
refine ⟨fun h => Set.Subset.antisymm (fun a' ha' => by_contra fun ha => ?_) fun a' ha' => ha'.symm ▸ (p.mem_support_iff a).2 fun ha => zero_ne_one <| ha.symm.trans h, fun h => _root_.trans (symm <| tsum_eq_single a fun a' ha' => (p.apply_eq_zero_iff a').2 (h.symm ▸ ha')) p.tsum_coe⟩ suffices 1 < ∑' a, p a from ne_of_lt this p.tsum_coe.symm have : 0 < ∑' b, ite (b = a) 0 (p b) := lt_of_le_of_ne' zero_le' ((tsum_ne_zero_iff ENNReal.summable).2 ⟨a', ite_ne_left_iff.2 ⟨ha, Ne.symm <| (p.mem_support_iff a').2 ha'⟩⟩) calc 1 = 1 + 0 := (add_zero 1).symm _ < p a + ∑' b, ite (b = a) 0 (p b) := (ENNReal.add_lt_add_of_le_of_lt ENNReal.one_ne_top (le_of_eq h.symm) this) _ = ite (a = a) (p a) 0 + ∑' b, ite (b = a) 0 (p b) := by rw [eq_self_iff_true, if_true] _ = (∑' b, ite (b = a) (p b) 0) + ∑' b, ite (b = a) 0 (p b) := by congr exact symm (tsum_eq_single a fun b hb => if_neg hb) _ = ∑' b, (ite (b = a) (p b) 0 + ite (b = a) 0 (p b)) := ENNReal.tsum_add.symm _ = ∑' b, p b := tsum_congr fun b => by split_ifs <;> simp only [zero_add, add_zero, le_rfl]
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import Mathlib.Topology.Instances.ENNReal import Mathlib.MeasureTheory.Measure.Dirac #align_import probability.probability_mass_function.basic from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal MeasureTheory def PMF.{u} (α : Type u) : Type u := { f : α → ℝ≥0∞ // HasSum f 1 } #align pmf PMF namespace PMF instance instFunLike : FunLike (PMF α) α ℝ≥0∞ where coe p a := p.1 a coe_injective' _ _ h := Subtype.eq h #align pmf.fun_like PMF.instFunLike @[ext] protected theorem ext {p q : PMF α} (h : ∀ x, p x = q x) : p = q := DFunLike.ext p q h #align pmf.ext PMF.ext theorem ext_iff {p q : PMF α} : p = q ↔ ∀ x, p x = q x := DFunLike.ext_iff #align pmf.ext_iff PMF.ext_iff theorem hasSum_coe_one (p : PMF α) : HasSum p 1 := p.2 #align pmf.has_sum_coe_one PMF.hasSum_coe_one @[simp] theorem tsum_coe (p : PMF α) : ∑' a, p a = 1 := p.hasSum_coe_one.tsum_eq #align pmf.tsum_coe PMF.tsum_coe theorem tsum_coe_ne_top (p : PMF α) : ∑' a, p a ≠ ∞ := p.tsum_coe.symm ▸ ENNReal.one_ne_top #align pmf.tsum_coe_ne_top PMF.tsum_coe_ne_top theorem tsum_coe_indicator_ne_top (p : PMF α) (s : Set α) : ∑' a, s.indicator p a ≠ ∞ := ne_of_lt (lt_of_le_of_lt (tsum_le_tsum (fun _ => Set.indicator_apply_le fun _ => le_rfl) ENNReal.summable ENNReal.summable) (lt_of_le_of_ne le_top p.tsum_coe_ne_top)) #align pmf.tsum_coe_indicator_ne_top PMF.tsum_coe_indicator_ne_top @[simp] theorem coe_ne_zero (p : PMF α) : ⇑p ≠ 0 := fun hp => zero_ne_one ((tsum_zero.symm.trans (tsum_congr fun x => symm (congr_fun hp x))).trans p.tsum_coe) #align pmf.coe_ne_zero PMF.coe_ne_zero def support (p : PMF α) : Set α := Function.support p #align pmf.support PMF.support @[simp] theorem mem_support_iff (p : PMF α) (a : α) : a ∈ p.support ↔ p a ≠ 0 := Iff.rfl #align pmf.mem_support_iff PMF.mem_support_iff @[simp] theorem support_nonempty (p : PMF α) : p.support.Nonempty := Function.support_nonempty_iff.2 p.coe_ne_zero #align pmf.support_nonempty PMF.support_nonempty @[simp] theorem support_countable (p : PMF α) : p.support.Countable := Summable.countable_support_ennreal (tsum_coe_ne_top p) theorem apply_eq_zero_iff (p : PMF α) (a : α) : p a = 0 ↔ a ∉ p.support := by rw [mem_support_iff, Classical.not_not] #align pmf.apply_eq_zero_iff PMF.apply_eq_zero_iff theorem apply_pos_iff (p : PMF α) (a : α) : 0 < p a ↔ a ∈ p.support := pos_iff_ne_zero.trans (p.mem_support_iff a).symm #align pmf.apply_pos_iff PMF.apply_pos_iff theorem apply_eq_one_iff (p : PMF α) (a : α) : p a = 1 ↔ p.support = {a} := by refine ⟨fun h => Set.Subset.antisymm (fun a' ha' => by_contra fun ha => ?_) fun a' ha' => ha'.symm ▸ (p.mem_support_iff a).2 fun ha => zero_ne_one <| ha.symm.trans h, fun h => _root_.trans (symm <| tsum_eq_single a fun a' ha' => (p.apply_eq_zero_iff a').2 (h.symm ▸ ha')) p.tsum_coe⟩ suffices 1 < ∑' a, p a from ne_of_lt this p.tsum_coe.symm have : 0 < ∑' b, ite (b = a) 0 (p b) := lt_of_le_of_ne' zero_le' ((tsum_ne_zero_iff ENNReal.summable).2 ⟨a', ite_ne_left_iff.2 ⟨ha, Ne.symm <| (p.mem_support_iff a').2 ha'⟩⟩) calc 1 = 1 + 0 := (add_zero 1).symm _ < p a + ∑' b, ite (b = a) 0 (p b) := (ENNReal.add_lt_add_of_le_of_lt ENNReal.one_ne_top (le_of_eq h.symm) this) _ = ite (a = a) (p a) 0 + ∑' b, ite (b = a) 0 (p b) := by rw [eq_self_iff_true, if_true] _ = (∑' b, ite (b = a) (p b) 0) + ∑' b, ite (b = a) 0 (p b) := by congr exact symm (tsum_eq_single a fun b hb => if_neg hb) _ = ∑' b, (ite (b = a) (p b) 0 + ite (b = a) 0 (p b)) := ENNReal.tsum_add.symm _ = ∑' b, p b := tsum_congr fun b => by split_ifs <;> simp only [zero_add, add_zero, le_rfl] #align pmf.apply_eq_one_iff PMF.apply_eq_one_iff
Mathlib/Probability/ProbabilityMassFunction/Basic.lean
136
138
theorem coe_le_one (p : PMF α) (a : α) : p a ≤ 1 := by
refine hasSum_le (fun b => ?_) (hasSum_ite_eq a (p a)) (hasSum_coe_one p) split_ifs with h <;> simp only [h, zero_le', le_rfl]
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import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
54
54
theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by
simp
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import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Measure variable (s : Set α) @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
74
80
theorem toOuterMeasure_pure_apply : (pure a).toOuterMeasure s = if a ∈ s then 1 else 0 := by
refine (toOuterMeasure_apply (pure a) s).trans ?_ split_ifs with ha · refine (tsum_congr fun b => ?_).trans (tsum_ite_eq a 1) exact ite_eq_left_iff.2 fun hb => symm (ite_eq_right_iff.2 fun h => (hb <| h.symm ▸ ha).elim) · refine (tsum_congr fun b => ?_).trans tsum_zero exact ite_eq_right_iff.2 fun hb => ite_eq_right_iff.2 fun h => (ha <| h ▸ hb).elim
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import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Measure variable (s : Set α) @[simp] theorem toOuterMeasure_pure_apply : (pure a).toOuterMeasure s = if a ∈ s then 1 else 0 := by refine (toOuterMeasure_apply (pure a) s).trans ?_ split_ifs with ha · refine (tsum_congr fun b => ?_).trans (tsum_ite_eq a 1) exact ite_eq_left_iff.2 fun hb => symm (ite_eq_right_iff.2 fun h => (hb <| h.symm ▸ ha).elim) · refine (tsum_congr fun b => ?_).trans tsum_zero exact ite_eq_right_iff.2 fun hb => ite_eq_right_iff.2 fun h => (ha <| h ▸ hb).elim #align pmf.to_outer_measure_pure_apply PMF.toOuterMeasure_pure_apply variable [MeasurableSpace α] @[simp] theorem toMeasure_pure_apply (hs : MeasurableSet s) : (pure a).toMeasure s = if a ∈ s then 1 else 0 := (toMeasure_apply_eq_toOuterMeasure_apply (pure a) s hs).trans (toOuterMeasure_pure_apply a s) #align pmf.to_measure_pure_apply PMF.toMeasure_pure_apply theorem toMeasure_pure : (pure a).toMeasure = Measure.dirac a := Measure.ext fun s hs => by rw [toMeasure_pure_apply a s hs, Measure.dirac_apply' a hs]; rfl #align pmf.to_measure_pure PMF.toMeasure_pure @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
97
99
theorem toPMF_dirac [Countable α] [h : MeasurableSingletonClass α] : (Measure.dirac a).toPMF = pure a := by
rw [toPMF_eq_iff_toMeasure_eq, toMeasure_pure]
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import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Bind def bind (p : PMF α) (f : α → PMF β) : PMF β := ⟨fun b => ∑' a, p a * f a b, ENNReal.summable.hasSum_iff.2 (ENNReal.tsum_comm.trans <| by simp only [ENNReal.tsum_mul_left, tsum_coe, mul_one])⟩ #align pmf.bind PMF.bind variable (p : PMF α) (f : α → PMF β) (g : β → PMF γ) @[simp] theorem bind_apply (b : β) : p.bind f b = ∑' a, p a * f a b := rfl #align pmf.bind_apply PMF.bind_apply @[simp] theorem support_bind : (p.bind f).support = ⋃ a ∈ p.support, (f a).support := Set.ext fun b => by simp [mem_support_iff, ENNReal.tsum_eq_zero, not_or] #align pmf.support_bind PMF.support_bind
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
126
128
theorem mem_support_bind_iff (b : β) : b ∈ (p.bind f).support ↔ ∃ a ∈ p.support, b ∈ (f a).support := by
simp only [support_bind, Set.mem_iUnion, Set.mem_setOf_eq, exists_prop]
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import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Bind def bind (p : PMF α) (f : α → PMF β) : PMF β := ⟨fun b => ∑' a, p a * f a b, ENNReal.summable.hasSum_iff.2 (ENNReal.tsum_comm.trans <| by simp only [ENNReal.tsum_mul_left, tsum_coe, mul_one])⟩ #align pmf.bind PMF.bind variable (p : PMF α) (f : α → PMF β) (g : β → PMF γ) @[simp] theorem bind_apply (b : β) : p.bind f b = ∑' a, p a * f a b := rfl #align pmf.bind_apply PMF.bind_apply @[simp] theorem support_bind : (p.bind f).support = ⋃ a ∈ p.support, (f a).support := Set.ext fun b => by simp [mem_support_iff, ENNReal.tsum_eq_zero, not_or] #align pmf.support_bind PMF.support_bind theorem mem_support_bind_iff (b : β) : b ∈ (p.bind f).support ↔ ∃ a ∈ p.support, b ∈ (f a).support := by simp only [support_bind, Set.mem_iUnion, Set.mem_setOf_eq, exists_prop] #align pmf.mem_support_bind_iff PMF.mem_support_bind_iff @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
132
136
theorem pure_bind (a : α) (f : α → PMF β) : (pure a).bind f = f a := by
have : ∀ b a', ite (a' = a) (f a' b) 0 = ite (a' = a) (f a b) 0 := fun b a' => by split_ifs with h <;> simp [h] ext b simp [this]
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import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Bind def bind (p : PMF α) (f : α → PMF β) : PMF β := ⟨fun b => ∑' a, p a * f a b, ENNReal.summable.hasSum_iff.2 (ENNReal.tsum_comm.trans <| by simp only [ENNReal.tsum_mul_left, tsum_coe, mul_one])⟩ #align pmf.bind PMF.bind variable (p : PMF α) (f : α → PMF β) (g : β → PMF γ) @[simp] theorem bind_apply (b : β) : p.bind f b = ∑' a, p a * f a b := rfl #align pmf.bind_apply PMF.bind_apply @[simp] theorem support_bind : (p.bind f).support = ⋃ a ∈ p.support, (f a).support := Set.ext fun b => by simp [mem_support_iff, ENNReal.tsum_eq_zero, not_or] #align pmf.support_bind PMF.support_bind theorem mem_support_bind_iff (b : β) : b ∈ (p.bind f).support ↔ ∃ a ∈ p.support, b ∈ (f a).support := by simp only [support_bind, Set.mem_iUnion, Set.mem_setOf_eq, exists_prop] #align pmf.mem_support_bind_iff PMF.mem_support_bind_iff @[simp] theorem pure_bind (a : α) (f : α → PMF β) : (pure a).bind f = f a := by have : ∀ b a', ite (a' = a) (f a' b) 0 = ite (a' = a) (f a b) 0 := fun b a' => by split_ifs with h <;> simp [h] ext b simp [this] #align pmf.pure_bind PMF.pure_bind @[simp] theorem bind_pure : p.bind pure = p := PMF.ext fun x => (bind_apply _ _ _).trans (_root_.trans (tsum_eq_single x fun y hy => by rw [pure_apply_of_ne _ _ hy.symm, mul_zero]) <| by rw [pure_apply_self, mul_one]) #align pmf.bind_pure PMF.bind_pure @[simp] theorem bind_const (p : PMF α) (q : PMF β) : (p.bind fun _ => q) = q := PMF.ext fun x => by rw [bind_apply, ENNReal.tsum_mul_right, tsum_coe, one_mul] #align pmf.bind_const PMF.bind_const @[simp] theorem bind_bind : (p.bind f).bind g = p.bind fun a => (f a).bind g := PMF.ext fun b => by simpa only [ENNReal.coe_inj.symm, bind_apply, ENNReal.tsum_mul_left.symm, ENNReal.tsum_mul_right.symm, mul_assoc, mul_left_comm, mul_comm] using ENNReal.tsum_comm #align pmf.bind_bind PMF.bind_bind theorem bind_comm (p : PMF α) (q : PMF β) (f : α → β → PMF γ) : (p.bind fun a => q.bind (f a)) = q.bind fun b => p.bind fun a => f a b := PMF.ext fun b => by simpa only [ENNReal.coe_inj.symm, bind_apply, ENNReal.tsum_mul_left.symm, ENNReal.tsum_mul_right.symm, mul_assoc, mul_left_comm, mul_comm] using ENNReal.tsum_comm #align pmf.bind_comm PMF.bind_comm section Measure variable (s : Set β) @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
170
182
theorem toOuterMeasure_bind_apply : (p.bind f).toOuterMeasure s = ∑' a, p a * (f a).toOuterMeasure s := calc (p.bind f).toOuterMeasure s = ∑' b, if b ∈ s then ∑' a, p a * f a b else 0 := by
simp [toOuterMeasure_apply, Set.indicator_apply] _ = ∑' (b) (a), p a * if b ∈ s then f a b else 0 := tsum_congr fun b => by split_ifs <;> simp _ = ∑' (a) (b), p a * if b ∈ s then f a b else 0 := (tsum_comm' ENNReal.summable (fun _ => ENNReal.summable) fun _ => ENNReal.summable) _ = ∑' a, p a * ∑' b, if b ∈ s then f a b else 0 := tsum_congr fun a => ENNReal.tsum_mul_left _ = ∑' a, p a * ∑' b, if b ∈ s then f a b else 0 := (tsum_congr fun a => (congr_arg fun x => p a * x) <| tsum_congr fun b => by split_ifs <;> rfl) _ = ∑' a, p a * (f a).toOuterMeasure s := tsum_congr fun a => by simp only [toOuterMeasure_apply, Set.indicator_apply]
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp]
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
52
52
theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by
simp [map]
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
60
60
theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by
simp
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
70
70
theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by
simp [map, Function.comp]
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp]
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
87
88
theorem map_const : p.map (Function.const α b) = pure b := by
simp only [map, Function.comp, bind_const, Function.const]
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp] theorem map_const : p.map (Function.const α b) = pure b := by simp only [map, Function.comp, bind_const, Function.const] #align pmf.map_const PMF.map_const section Measure variable (s : Set β) @[simp]
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
96
97
theorem toOuterMeasure_map_apply : (p.map f).toOuterMeasure s = p.toOuterMeasure (f ⁻¹' s) := by
simp [map, Set.indicator, toOuterMeasure_apply p (f ⁻¹' s)]
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp] theorem map_const : p.map (Function.const α b) = pure b := by simp only [map, Function.comp, bind_const, Function.const] #align pmf.map_const PMF.map_const section Measure variable (s : Set β) @[simp] theorem toOuterMeasure_map_apply : (p.map f).toOuterMeasure s = p.toOuterMeasure (f ⁻¹' s) := by simp [map, Set.indicator, toOuterMeasure_apply p (f ⁻¹' s)] #align pmf.to_outer_measure_map_apply PMF.toOuterMeasure_map_apply @[simp]
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
101
105
theorem toMeasure_map_apply [MeasurableSpace α] [MeasurableSpace β] (hf : Measurable f) (hs : MeasurableSet s) : (p.map f).toMeasure s = p.toMeasure (f ⁻¹' s) := by
rw [toMeasure_apply_eq_toOuterMeasure_apply _ s hs, toMeasure_apply_eq_toOuterMeasure_apply _ (f ⁻¹' s) (measurableSet_preimage hf hs)] exact toOuterMeasure_map_apply f p s
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp] theorem map_const : p.map (Function.const α b) = pure b := by simp only [map, Function.comp, bind_const, Function.const] #align pmf.map_const PMF.map_const section Seq def seq (q : PMF (α → β)) (p : PMF α) : PMF β := q.bind fun m => p.bind fun a => pure (m a) #align pmf.seq PMF.seq variable (q : PMF (α → β)) (p : PMF α) (b : β) theorem monad_seq_eq_seq {α β : Type u} (q : PMF (α → β)) (p : PMF α) : q <*> p = q.seq p := rfl #align pmf.monad_seq_eq_seq PMF.monad_seq_eq_seq @[simp]
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
125
128
theorem seq_apply : (seq q p) b = ∑' (f : α → β) (a : α), if b = f a then q f * p a else 0 := by
simp only [seq, mul_boole, bind_apply, pure_apply] refine tsum_congr fun f => ENNReal.tsum_mul_left.symm.trans (tsum_congr fun a => ?_) simpa only [mul_zero] using mul_ite (b = f a) (q f) (p a) 0
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp] theorem map_const : p.map (Function.const α b) = pure b := by simp only [map, Function.comp, bind_const, Function.const] #align pmf.map_const PMF.map_const section Seq def seq (q : PMF (α → β)) (p : PMF α) : PMF β := q.bind fun m => p.bind fun a => pure (m a) #align pmf.seq PMF.seq variable (q : PMF (α → β)) (p : PMF α) (b : β) theorem monad_seq_eq_seq {α β : Type u} (q : PMF (α → β)) (p : PMF α) : q <*> p = q.seq p := rfl #align pmf.monad_seq_eq_seq PMF.monad_seq_eq_seq @[simp] theorem seq_apply : (seq q p) b = ∑' (f : α → β) (a : α), if b = f a then q f * p a else 0 := by simp only [seq, mul_boole, bind_apply, pure_apply] refine tsum_congr fun f => ENNReal.tsum_mul_left.symm.trans (tsum_congr fun a => ?_) simpa only [mul_zero] using mul_ite (b = f a) (q f) (p a) 0 #align pmf.seq_apply PMF.seq_apply @[simp] theorem support_seq : (seq q p).support = ⋃ f ∈ q.support, f '' p.support := Set.ext fun b => by simp [-mem_support_iff, seq, @eq_comm β b] #align pmf.support_seq PMF.support_seq
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
136
136
theorem mem_support_seq_iff : b ∈ (seq q p).support ↔ ∃ f ∈ q.support, b ∈ f '' p.support := by
simp
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp] theorem map_const : p.map (Function.const α b) = pure b := by simp only [map, Function.comp, bind_const, Function.const] #align pmf.map_const PMF.map_const instance : LawfulFunctor PMF where map_const := rfl id_map := bind_pure comp_map _ _ _ := (map_comp _ _ _).symm instance : LawfulMonad PMF := LawfulMonad.mk' (bind_pure_comp := fun f x => rfl) (id_map := id_map) (pure_bind := pure_bind) (bind_assoc := bind_bind) section OfFinset def ofFinset (f : α → ℝ≥0∞) (s : Finset α) (h : ∑ a ∈ s, f a = 1) (h' : ∀ (a) (_ : a ∉ s), f a = 0) : PMF α := ⟨f, h ▸ hasSum_sum_of_ne_finset_zero h'⟩ #align pmf.of_finset PMF.ofFinset variable {f : α → ℝ≥0∞} {s : Finset α} (h : ∑ a ∈ s, f a = 1) (h' : ∀ (a) (_ : a ∉ s), f a = 0) @[simp] theorem ofFinset_apply (a : α) : ofFinset f s h h' a = f a := rfl #align pmf.of_finset_apply PMF.ofFinset_apply @[simp] theorem support_ofFinset : (ofFinset f s h h').support = ↑s ∩ Function.support f := Set.ext fun a => by simpa [mem_support_iff] using mt (h' a) #align pmf.support_of_finset PMF.support_ofFinset
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
172
173
theorem mem_support_ofFinset_iff (a : α) : a ∈ (ofFinset f s h h').support ↔ a ∈ s ∧ f a ≠ 0 := by
simp
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import Mathlib.Probability.ProbabilityMassFunction.Monad #align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" universe u namespace PMF noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal section Map def map (f : α → β) (p : PMF α) : PMF β := bind p (pure ∘ f) #align pmf.map PMF.map variable (f : α → β) (p : PMF α) (b : β) theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl #align pmf.monad_map_eq_map PMF.monad_map_eq_map @[simp] theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map] #align pmf.map_apply PMF.map_apply @[simp] theorem support_map : (map f p).support = f '' p.support := Set.ext fun b => by simp [map, @eq_comm β b] #align pmf.support_map PMF.support_map theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp #align pmf.mem_support_map_iff PMF.mem_support_map_iff theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl #align pmf.bind_pure_comp PMF.bind_pure_comp theorem map_id : map id p = p := bind_pure _ #align pmf.map_id PMF.map_id theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp] #align pmf.map_comp PMF.map_comp theorem pure_map (a : α) : (pure a).map f = pure (f a) := pure_bind _ _ #align pmf.pure_map PMF.pure_map theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f := bind_bind _ _ _ #align pmf.map_bind PMF.map_bind @[simp] theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) := (bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _)) #align pmf.bind_map PMF.bind_map @[simp] theorem map_const : p.map (Function.const α b) = pure b := by simp only [map, Function.comp, bind_const, Function.const] #align pmf.map_const PMF.map_const section normalize def normalize (f : α → ℝ≥0∞) (hf0 : tsum f ≠ 0) (hf : tsum f ≠ ∞) : PMF α := ⟨fun a => f a * (∑' x, f x)⁻¹, ENNReal.summable.hasSum_iff.2 (ENNReal.tsum_mul_right.trans (ENNReal.mul_inv_cancel hf0 hf))⟩ #align pmf.normalize PMF.normalize variable {f : α → ℝ≥0∞} (hf0 : tsum f ≠ 0) (hf : tsum f ≠ ∞) @[simp] theorem normalize_apply (a : α) : (normalize f hf0 hf) a = f a * (∑' x, f x)⁻¹ := rfl #align pmf.normalize_apply PMF.normalize_apply @[simp] theorem support_normalize : (normalize f hf0 hf).support = Function.support f := Set.ext fun a => by simp [hf, mem_support_iff] #align pmf.support_normalize PMF.support_normalize
Mathlib/Probability/ProbabilityMassFunction/Constructions.lean
259
259
theorem mem_support_normalize_iff (a : α) : a ∈ (normalize f hf0 hf).support ↔ f a ≠ 0 := by
simp
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import Mathlib.Probability.ProbabilityMassFunction.Constructions import Mathlib.Tactic.FinCases namespace PMF open ENNReal noncomputable def binomial (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : PMF (Fin (n + 1)) := .ofFintype (fun i => p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ)) (by convert (add_pow p (1-p) n).symm · rw [Finset.sum_fin_eq_sum_range] apply Finset.sum_congr rfl intro i hi rw [Finset.mem_range] at hi rw [dif_pos hi, Fin.last] · simp [h]) theorem binomial_apply (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) (i : Fin (n + 1)) : binomial p h n i = p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ) := rfl @[simp]
Mathlib/Probability/ProbabilityMassFunction/Binomial.lean
40
42
theorem binomial_apply_zero (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n 0 = (1-p)^n := by
simp [binomial_apply]
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import Mathlib.Probability.ProbabilityMassFunction.Constructions import Mathlib.Tactic.FinCases namespace PMF open ENNReal noncomputable def binomial (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : PMF (Fin (n + 1)) := .ofFintype (fun i => p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ)) (by convert (add_pow p (1-p) n).symm · rw [Finset.sum_fin_eq_sum_range] apply Finset.sum_congr rfl intro i hi rw [Finset.mem_range] at hi rw [dif_pos hi, Fin.last] · simp [h]) theorem binomial_apply (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) (i : Fin (n + 1)) : binomial p h n i = p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ) := rfl @[simp] theorem binomial_apply_zero (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n 0 = (1-p)^n := by simp [binomial_apply] @[simp]
Mathlib/Probability/ProbabilityMassFunction/Binomial.lean
45
47
theorem binomial_apply_last (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n (.last n) = p^n := by
simp [binomial_apply]
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import Mathlib.Probability.ProbabilityMassFunction.Constructions import Mathlib.Tactic.FinCases namespace PMF open ENNReal noncomputable def binomial (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : PMF (Fin (n + 1)) := .ofFintype (fun i => p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ)) (by convert (add_pow p (1-p) n).symm · rw [Finset.sum_fin_eq_sum_range] apply Finset.sum_congr rfl intro i hi rw [Finset.mem_range] at hi rw [dif_pos hi, Fin.last] · simp [h]) theorem binomial_apply (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) (i : Fin (n + 1)) : binomial p h n i = p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ) := rfl @[simp] theorem binomial_apply_zero (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n 0 = (1-p)^n := by simp [binomial_apply] @[simp] theorem binomial_apply_last (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n (.last n) = p^n := by simp [binomial_apply]
Mathlib/Probability/ProbabilityMassFunction/Binomial.lean
49
50
theorem binomial_apply_self (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n n = p^n := by
simp
1,445
import Mathlib.Probability.ProbabilityMassFunction.Constructions import Mathlib.Tactic.FinCases namespace PMF open ENNReal noncomputable def binomial (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : PMF (Fin (n + 1)) := .ofFintype (fun i => p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ)) (by convert (add_pow p (1-p) n).symm · rw [Finset.sum_fin_eq_sum_range] apply Finset.sum_congr rfl intro i hi rw [Finset.mem_range] at hi rw [dif_pos hi, Fin.last] · simp [h]) theorem binomial_apply (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) (i : Fin (n + 1)) : binomial p h n i = p^(i : ℕ) * (1-p)^((Fin.last n - i) : ℕ) * (n.choose i : ℕ) := rfl @[simp] theorem binomial_apply_zero (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n 0 = (1-p)^n := by simp [binomial_apply] @[simp] theorem binomial_apply_last (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n (.last n) = p^n := by simp [binomial_apply] theorem binomial_apply_self (p : ℝ≥0∞) (h : p ≤ 1) (n : ℕ) : binomial p h n n = p^n := by simp
Mathlib/Probability/ProbabilityMassFunction/Binomial.lean
53
55
theorem binomial_one_eq_bernoulli (p : ℝ≥0∞) (h : p ≤ 1) : binomial p h 1 = (bernoulli p h).map (cond · 1 0) := by
ext i; fin_cases i <;> simp [tsum_bool, binomial_apply]
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import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α}
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
26
31
theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by
lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd
1,446
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
39
46
theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by
refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n)
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import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
49
51
theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by
simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0
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import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0 #align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀ theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) := show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n #align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
60
62
theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by
simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0
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import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0 #align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀ theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) := show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n #align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0 #align dist_le_tsum_dist_of_tendsto₀ dist_le_tsum_dist_of_tendsto₀ section summable
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
67
70
theorem not_summable_iff_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : ¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
lift f to ℕ → ℝ≥0 using hf exact mod_cast NNReal.not_summable_iff_tendsto_nat_atTop
1,446
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0 #align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀ theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) := show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n #align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0 #align dist_le_tsum_dist_of_tendsto₀ dist_le_tsum_dist_of_tendsto₀ section summable theorem not_summable_iff_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : ¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by lift f to ℕ → ℝ≥0 using hf exact mod_cast NNReal.not_summable_iff_tendsto_nat_atTop #align not_summable_iff_tendsto_nat_at_top_of_nonneg not_summable_iff_tendsto_nat_atTop_of_nonneg
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
73
75
theorem summable_iff_not_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : Summable f ↔ ¬Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
rw [← not_iff_not, Classical.not_not, not_summable_iff_tendsto_nat_atTop_of_nonneg hf]
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import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0 #align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀ theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) := show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n #align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0 #align dist_le_tsum_dist_of_tendsto₀ dist_le_tsum_dist_of_tendsto₀ section summable theorem not_summable_iff_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : ¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by lift f to ℕ → ℝ≥0 using hf exact mod_cast NNReal.not_summable_iff_tendsto_nat_atTop #align not_summable_iff_tendsto_nat_at_top_of_nonneg not_summable_iff_tendsto_nat_atTop_of_nonneg theorem summable_iff_not_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : Summable f ↔ ¬Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by rw [← not_iff_not, Classical.not_not, not_summable_iff_tendsto_nat_atTop_of_nonneg hf] #align summable_iff_not_tendsto_nat_at_top_of_nonneg summable_iff_not_tendsto_nat_atTop_of_nonneg
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
78
81
theorem summable_sigma_of_nonneg {β : α → Type*} {f : (Σ x, β x) → ℝ} (hf : ∀ x, 0 ≤ f x) : Summable f ↔ (∀ x, Summable fun y => f ⟨x, y⟩) ∧ Summable fun x => ∑' y, f ⟨x, y⟩ := by
lift f to (Σx, β x) → ℝ≥0 using hf exact mod_cast NNReal.summable_sigma
1,446
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Algebra.InfiniteSum.Real #align_import analysis.normed.field.infinite_sum from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" variable {R : Type*} {ι : Type*} {ι' : Type*} [NormedRing R] open scoped Classical open Finset theorem Summable.mul_of_nonneg {f : ι → ℝ} {g : ι' → ℝ} (hf : Summable f) (hg : Summable g) (hf' : 0 ≤ f) (hg' : 0 ≤ g) : Summable fun x : ι × ι' => f x.1 * g x.2 := (summable_prod_of_nonneg fun _ ↦ mul_nonneg (hf' _) (hg' _)).2 ⟨fun x ↦ hg.mul_left (f x), by simpa only [hg.tsum_mul_left _] using hf.mul_right (∑' x, g x)⟩ #align summable.mul_of_nonneg Summable.mul_of_nonneg theorem Summable.mul_norm {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => ‖f x.1 * g x.2‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun x => norm_mul_le (f x.1) (g x.2)) (hf.mul_of_nonneg hg (fun x => norm_nonneg <| f x) fun x => norm_nonneg <| g x : _) #align summable.mul_norm Summable.mul_norm theorem summable_mul_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => f x.1 * g x.2 := (hf.mul_norm hg).of_norm #align summable_mul_of_summable_norm summable_mul_of_summable_norm theorem tsum_mul_tsum_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' x, f x) * ∑' y, g y) = ∑' z : ι × ι', f z.1 * g z.2 := tsum_mul_tsum hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_of_summable_norm tsum_mul_tsum_of_summable_norm section Nat open Finset.Nat
Mathlib/Analysis/Normed/Field/InfiniteSum.lean
73
83
theorem summable_norm_sum_mul_antidiagonal_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ := by
have := summable_sum_mul_antidiagonal_of_summable_mul (Summable.mul_of_nonneg hf hg (fun _ => norm_nonneg _) fun _ => norm_nonneg _) refine this.of_nonneg_of_le (fun _ => norm_nonneg _) (fun n ↦ ?_) calc ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1 * g kl.2‖ := norm_sum_le _ _ _ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1‖ * ‖g kl.2‖ := by gcongr; apply norm_mul_le
1,447
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Algebra.InfiniteSum.Real #align_import analysis.normed.field.infinite_sum from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" variable {R : Type*} {ι : Type*} {ι' : Type*} [NormedRing R] open scoped Classical open Finset theorem Summable.mul_of_nonneg {f : ι → ℝ} {g : ι' → ℝ} (hf : Summable f) (hg : Summable g) (hf' : 0 ≤ f) (hg' : 0 ≤ g) : Summable fun x : ι × ι' => f x.1 * g x.2 := (summable_prod_of_nonneg fun _ ↦ mul_nonneg (hf' _) (hg' _)).2 ⟨fun x ↦ hg.mul_left (f x), by simpa only [hg.tsum_mul_left _] using hf.mul_right (∑' x, g x)⟩ #align summable.mul_of_nonneg Summable.mul_of_nonneg theorem Summable.mul_norm {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => ‖f x.1 * g x.2‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun x => norm_mul_le (f x.1) (g x.2)) (hf.mul_of_nonneg hg (fun x => norm_nonneg <| f x) fun x => norm_nonneg <| g x : _) #align summable.mul_norm Summable.mul_norm theorem summable_mul_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => f x.1 * g x.2 := (hf.mul_norm hg).of_norm #align summable_mul_of_summable_norm summable_mul_of_summable_norm theorem tsum_mul_tsum_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' x, f x) * ∑' y, g y) = ∑' z : ι × ι', f z.1 * g z.2 := tsum_mul_tsum hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_of_summable_norm tsum_mul_tsum_of_summable_norm section Nat open Finset.Nat theorem summable_norm_sum_mul_antidiagonal_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ := by have := summable_sum_mul_antidiagonal_of_summable_mul (Summable.mul_of_nonneg hf hg (fun _ => norm_nonneg _) fun _ => norm_nonneg _) refine this.of_nonneg_of_le (fun _ => norm_nonneg _) (fun n ↦ ?_) calc ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1 * g kl.2‖ := norm_sum_le _ _ _ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1‖ * ‖g kl.2‖ := by gcongr; apply norm_mul_le #align summable_norm_sum_mul_antidiagonal_of_summable_norm summable_norm_sum_mul_antidiagonal_of_summable_norm theorem tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm [CompleteSpace R] {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' n, f n) * ∑' n, g n) = ∑' n, ∑ kl ∈ antidiagonal n, f kl.1 * g kl.2 := tsum_mul_tsum_eq_tsum_sum_antidiagonal hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm
Mathlib/Analysis/Normed/Field/InfiniteSum.lean
96
99
theorem summable_norm_sum_mul_range_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ k ∈ range (n + 1), f k * g (n - k)‖ := by
simp_rw [← sum_antidiagonal_eq_sum_range_succ fun k l => f k * g l] exact summable_norm_sum_mul_antidiagonal_of_summable_norm hf hg
1,447
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Algebra.InfiniteSum.Real #align_import analysis.normed.field.infinite_sum from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" variable {R : Type*} {ι : Type*} {ι' : Type*} [NormedRing R] open scoped Classical open Finset theorem Summable.mul_of_nonneg {f : ι → ℝ} {g : ι' → ℝ} (hf : Summable f) (hg : Summable g) (hf' : 0 ≤ f) (hg' : 0 ≤ g) : Summable fun x : ι × ι' => f x.1 * g x.2 := (summable_prod_of_nonneg fun _ ↦ mul_nonneg (hf' _) (hg' _)).2 ⟨fun x ↦ hg.mul_left (f x), by simpa only [hg.tsum_mul_left _] using hf.mul_right (∑' x, g x)⟩ #align summable.mul_of_nonneg Summable.mul_of_nonneg theorem Summable.mul_norm {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => ‖f x.1 * g x.2‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun x => norm_mul_le (f x.1) (g x.2)) (hf.mul_of_nonneg hg (fun x => norm_nonneg <| f x) fun x => norm_nonneg <| g x : _) #align summable.mul_norm Summable.mul_norm theorem summable_mul_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => f x.1 * g x.2 := (hf.mul_norm hg).of_norm #align summable_mul_of_summable_norm summable_mul_of_summable_norm theorem tsum_mul_tsum_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' x, f x) * ∑' y, g y) = ∑' z : ι × ι', f z.1 * g z.2 := tsum_mul_tsum hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_of_summable_norm tsum_mul_tsum_of_summable_norm section Nat open Finset.Nat theorem summable_norm_sum_mul_antidiagonal_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ := by have := summable_sum_mul_antidiagonal_of_summable_mul (Summable.mul_of_nonneg hf hg (fun _ => norm_nonneg _) fun _ => norm_nonneg _) refine this.of_nonneg_of_le (fun _ => norm_nonneg _) (fun n ↦ ?_) calc ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1 * g kl.2‖ := norm_sum_le _ _ _ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1‖ * ‖g kl.2‖ := by gcongr; apply norm_mul_le #align summable_norm_sum_mul_antidiagonal_of_summable_norm summable_norm_sum_mul_antidiagonal_of_summable_norm theorem tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm [CompleteSpace R] {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' n, f n) * ∑' n, g n) = ∑' n, ∑ kl ∈ antidiagonal n, f kl.1 * g kl.2 := tsum_mul_tsum_eq_tsum_sum_antidiagonal hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm theorem summable_norm_sum_mul_range_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ k ∈ range (n + 1), f k * g (n - k)‖ := by simp_rw [← sum_antidiagonal_eq_sum_range_succ fun k l => f k * g l] exact summable_norm_sum_mul_antidiagonal_of_summable_norm hf hg #align summable_norm_sum_mul_range_of_summable_norm summable_norm_sum_mul_range_of_summable_norm
Mathlib/Analysis/Normed/Field/InfiniteSum.lean
106
110
theorem tsum_mul_tsum_eq_tsum_sum_range_of_summable_norm [CompleteSpace R] {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' n, f n) * ∑' n, g n) = ∑' n, ∑ k ∈ range (n + 1), f k * g (n - k) := by
simp_rw [← sum_antidiagonal_eq_sum_range_succ fun k l => f k * g l] exact tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm hf hg
1,447
import Mathlib.GroupTheory.QuotientGroup import Mathlib.LinearAlgebra.Span #align_import linear_algebra.quotient from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" -- For most of this file we work over a noncommutative ring section Ring namespace Submodule variable {R M : Type*} {r : R} {x y : M} [Ring R] [AddCommGroup M] [Module R M] variable (p p' : Submodule R M) open LinearMap QuotientAddGroup def quotientRel : Setoid M := QuotientAddGroup.leftRel p.toAddSubgroup #align submodule.quotient_rel Submodule.quotientRel theorem quotientRel_r_def {x y : M} : @Setoid.r _ p.quotientRel x y ↔ x - y ∈ p := Iff.trans (by rw [leftRel_apply, sub_eq_add_neg, neg_add, neg_neg] rfl) neg_mem_iff #align submodule.quotient_rel_r_def Submodule.quotientRel_r_def instance hasQuotient : HasQuotient M (Submodule R M) := ⟨fun p => Quotient (quotientRel p)⟩ #align submodule.has_quotient Submodule.hasQuotient namespace Quotient def mk {p : Submodule R M} : M → M ⧸ p := Quotient.mk'' #align submodule.quotient.mk Submodule.Quotient.mk @[simp] theorem mk'_eq_mk' {p : Submodule R M} (x : M) : @Quotient.mk' _ (quotientRel p) x = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.mk_eq_mk Submodule.Quotient.mk'_eq_mk' @[simp] theorem mk''_eq_mk {p : Submodule R M} (x : M) : (Quotient.mk'' x : M ⧸ p) = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.mk'_eq_mk Submodule.Quotient.mk''_eq_mk @[simp] theorem quot_mk_eq_mk {p : Submodule R M} (x : M) : (Quot.mk _ x : M ⧸ p) = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.quot_mk_eq_mk Submodule.Quotient.quot_mk_eq_mk protected theorem eq' {x y : M} : (mk x : M ⧸ p) = (mk : M → M ⧸ p) y ↔ -x + y ∈ p := QuotientAddGroup.eq #align submodule.quotient.eq' Submodule.Quotient.eq' protected theorem eq {x y : M} : (mk x : M ⧸ p) = (mk y : M ⧸ p) ↔ x - y ∈ p := (Submodule.Quotient.eq' p).trans (leftRel_apply.symm.trans p.quotientRel_r_def) #align submodule.quotient.eq Submodule.Quotient.eq instance : Zero (M ⧸ p) where -- Use Quotient.mk'' instead of mk here because mk is not reducible. -- This would lead to non-defeq diamonds. -- See also the same comment at the One instance for Con. zero := Quotient.mk'' 0 instance : Inhabited (M ⧸ p) := ⟨0⟩ @[simp] theorem mk_zero : mk 0 = (0 : M ⧸ p) := rfl #align submodule.quotient.mk_zero Submodule.Quotient.mk_zero @[simp]
Mathlib/LinearAlgebra/Quotient.lean
100
100
theorem mk_eq_zero : (mk x : M ⧸ p) = 0 ↔ x ∈ p := by
simpa using (Quotient.eq' p : mk x = 0 ↔ _)
1,448
import Mathlib.GroupTheory.QuotientGroup import Mathlib.LinearAlgebra.Span #align_import linear_algebra.quotient from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" -- For most of this file we work over a noncommutative ring section Ring namespace Submodule variable {R M : Type*} {r : R} {x y : M} [Ring R] [AddCommGroup M] [Module R M] variable (p p' : Submodule R M) open LinearMap QuotientAddGroup def quotientRel : Setoid M := QuotientAddGroup.leftRel p.toAddSubgroup #align submodule.quotient_rel Submodule.quotientRel theorem quotientRel_r_def {x y : M} : @Setoid.r _ p.quotientRel x y ↔ x - y ∈ p := Iff.trans (by rw [leftRel_apply, sub_eq_add_neg, neg_add, neg_neg] rfl) neg_mem_iff #align submodule.quotient_rel_r_def Submodule.quotientRel_r_def instance hasQuotient : HasQuotient M (Submodule R M) := ⟨fun p => Quotient (quotientRel p)⟩ #align submodule.has_quotient Submodule.hasQuotient namespace Quotient def mk {p : Submodule R M} : M → M ⧸ p := Quotient.mk'' #align submodule.quotient.mk Submodule.Quotient.mk @[simp] theorem mk'_eq_mk' {p : Submodule R M} (x : M) : @Quotient.mk' _ (quotientRel p) x = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.mk_eq_mk Submodule.Quotient.mk'_eq_mk' @[simp] theorem mk''_eq_mk {p : Submodule R M} (x : M) : (Quotient.mk'' x : M ⧸ p) = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.mk'_eq_mk Submodule.Quotient.mk''_eq_mk @[simp] theorem quot_mk_eq_mk {p : Submodule R M} (x : M) : (Quot.mk _ x : M ⧸ p) = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.quot_mk_eq_mk Submodule.Quotient.quot_mk_eq_mk protected theorem eq' {x y : M} : (mk x : M ⧸ p) = (mk : M → M ⧸ p) y ↔ -x + y ∈ p := QuotientAddGroup.eq #align submodule.quotient.eq' Submodule.Quotient.eq' protected theorem eq {x y : M} : (mk x : M ⧸ p) = (mk y : M ⧸ p) ↔ x - y ∈ p := (Submodule.Quotient.eq' p).trans (leftRel_apply.symm.trans p.quotientRel_r_def) #align submodule.quotient.eq Submodule.Quotient.eq instance : Zero (M ⧸ p) where -- Use Quotient.mk'' instead of mk here because mk is not reducible. -- This would lead to non-defeq diamonds. -- See also the same comment at the One instance for Con. zero := Quotient.mk'' 0 instance : Inhabited (M ⧸ p) := ⟨0⟩ @[simp] theorem mk_zero : mk 0 = (0 : M ⧸ p) := rfl #align submodule.quotient.mk_zero Submodule.Quotient.mk_zero @[simp] theorem mk_eq_zero : (mk x : M ⧸ p) = 0 ↔ x ∈ p := by simpa using (Quotient.eq' p : mk x = 0 ↔ _) #align submodule.quotient.mk_eq_zero Submodule.Quotient.mk_eq_zero instance addCommGroup : AddCommGroup (M ⧸ p) := QuotientAddGroup.Quotient.addCommGroup p.toAddSubgroup #align submodule.quotient.add_comm_group Submodule.Quotient.addCommGroup @[simp] theorem mk_add : (mk (x + y) : M ⧸ p) = (mk x : M ⧸ p) + (mk y : M ⧸ p) := rfl #align submodule.quotient.mk_add Submodule.Quotient.mk_add @[simp] theorem mk_neg : (mk (-x) : M ⧸ p) = -(mk x : M ⧸ p) := rfl #align submodule.quotient.mk_neg Submodule.Quotient.mk_neg @[simp] theorem mk_sub : (mk (x - y) : M ⧸ p) = (mk x : M ⧸ p) - (mk y : M ⧸ p) := rfl #align submodule.quotient.mk_sub Submodule.Quotient.mk_sub
Mathlib/LinearAlgebra/Quotient.lean
257
259
theorem mk_surjective : Function.Surjective (@mk _ _ _ _ _ p) := by
rintro ⟨x⟩ exact ⟨x, rfl⟩
1,448
import Mathlib.GroupTheory.QuotientGroup import Mathlib.LinearAlgebra.Span #align_import linear_algebra.quotient from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" -- For most of this file we work over a noncommutative ring section Ring namespace Submodule variable {R M : Type*} {r : R} {x y : M} [Ring R] [AddCommGroup M] [Module R M] variable (p p' : Submodule R M) open LinearMap QuotientAddGroup def quotientRel : Setoid M := QuotientAddGroup.leftRel p.toAddSubgroup #align submodule.quotient_rel Submodule.quotientRel theorem quotientRel_r_def {x y : M} : @Setoid.r _ p.quotientRel x y ↔ x - y ∈ p := Iff.trans (by rw [leftRel_apply, sub_eq_add_neg, neg_add, neg_neg] rfl) neg_mem_iff #align submodule.quotient_rel_r_def Submodule.quotientRel_r_def instance hasQuotient : HasQuotient M (Submodule R M) := ⟨fun p => Quotient (quotientRel p)⟩ #align submodule.has_quotient Submodule.hasQuotient namespace Quotient def mk {p : Submodule R M} : M → M ⧸ p := Quotient.mk'' #align submodule.quotient.mk Submodule.Quotient.mk @[simp] theorem mk'_eq_mk' {p : Submodule R M} (x : M) : @Quotient.mk' _ (quotientRel p) x = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.mk_eq_mk Submodule.Quotient.mk'_eq_mk' @[simp] theorem mk''_eq_mk {p : Submodule R M} (x : M) : (Quotient.mk'' x : M ⧸ p) = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.mk'_eq_mk Submodule.Quotient.mk''_eq_mk @[simp] theorem quot_mk_eq_mk {p : Submodule R M} (x : M) : (Quot.mk _ x : M ⧸ p) = (mk : M → M ⧸ p) x := rfl #align submodule.quotient.quot_mk_eq_mk Submodule.Quotient.quot_mk_eq_mk protected theorem eq' {x y : M} : (mk x : M ⧸ p) = (mk : M → M ⧸ p) y ↔ -x + y ∈ p := QuotientAddGroup.eq #align submodule.quotient.eq' Submodule.Quotient.eq' protected theorem eq {x y : M} : (mk x : M ⧸ p) = (mk y : M ⧸ p) ↔ x - y ∈ p := (Submodule.Quotient.eq' p).trans (leftRel_apply.symm.trans p.quotientRel_r_def) #align submodule.quotient.eq Submodule.Quotient.eq instance : Zero (M ⧸ p) where -- Use Quotient.mk'' instead of mk here because mk is not reducible. -- This would lead to non-defeq diamonds. -- See also the same comment at the One instance for Con. zero := Quotient.mk'' 0 instance : Inhabited (M ⧸ p) := ⟨0⟩ @[simp] theorem mk_zero : mk 0 = (0 : M ⧸ p) := rfl #align submodule.quotient.mk_zero Submodule.Quotient.mk_zero @[simp] theorem mk_eq_zero : (mk x : M ⧸ p) = 0 ↔ x ∈ p := by simpa using (Quotient.eq' p : mk x = 0 ↔ _) #align submodule.quotient.mk_eq_zero Submodule.Quotient.mk_eq_zero instance addCommGroup : AddCommGroup (M ⧸ p) := QuotientAddGroup.Quotient.addCommGroup p.toAddSubgroup #align submodule.quotient.add_comm_group Submodule.Quotient.addCommGroup @[simp] theorem mk_add : (mk (x + y) : M ⧸ p) = (mk x : M ⧸ p) + (mk y : M ⧸ p) := rfl #align submodule.quotient.mk_add Submodule.Quotient.mk_add @[simp] theorem mk_neg : (mk (-x) : M ⧸ p) = -(mk x : M ⧸ p) := rfl #align submodule.quotient.mk_neg Submodule.Quotient.mk_neg @[simp] theorem mk_sub : (mk (x - y) : M ⧸ p) = (mk x : M ⧸ p) - (mk y : M ⧸ p) := rfl #align submodule.quotient.mk_sub Submodule.Quotient.mk_sub theorem mk_surjective : Function.Surjective (@mk _ _ _ _ _ p) := by rintro ⟨x⟩ exact ⟨x, rfl⟩ #align submodule.quotient.mk_surjective Submodule.Quotient.mk_surjective
Mathlib/LinearAlgebra/Quotient.lean
262
265
theorem nontrivial_of_lt_top (h : p < ⊤) : Nontrivial (M ⧸ p) := by
obtain ⟨x, _, not_mem_s⟩ := SetLike.exists_of_lt h refine ⟨⟨mk x, 0, ?_⟩⟩ simpa using not_mem_s
1,448
import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Quotient #align_import linear_algebra.quotient_pi from "leanprover-community/mathlib"@"398f60f60b43ef42154bd2bdadf5133daf1577a4" namespace Submodule open LinearMap variable {ι R : Type*} [CommRing R] variable {Ms : ι → Type*} [∀ i, AddCommGroup (Ms i)] [∀ i, Module R (Ms i)] variable {N : Type*} [AddCommGroup N] [Module R N] variable {Ns : ι → Type*} [∀ i, AddCommGroup (Ns i)] [∀ i, Module R (Ns i)] def piQuotientLift [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) : (∀ i, Ms i ⧸ p i) →ₗ[R] N ⧸ q := lsum R (fun i => Ms i ⧸ p i) R fun i => (p i).mapQ q (f i) (hf i) #align submodule.pi_quotient_lift Submodule.piQuotientLift @[simp]
Mathlib/LinearAlgebra/QuotientPi.lean
42
46
theorem piQuotientLift_mk [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (x : ∀ i, Ms i) : (piQuotientLift p q f hf fun i => Quotient.mk (x i)) = Quotient.mk (lsum _ _ R f x) := by
rw [piQuotientLift, lsum_apply, sum_apply, ← mkQ_apply, lsum_apply, sum_apply, _root_.map_sum] simp only [coe_proj, mapQ_apply, mkQ_apply, comp_apply]
1,449
import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Quotient #align_import linear_algebra.quotient_pi from "leanprover-community/mathlib"@"398f60f60b43ef42154bd2bdadf5133daf1577a4" namespace Submodule open LinearMap variable {ι R : Type*} [CommRing R] variable {Ms : ι → Type*} [∀ i, AddCommGroup (Ms i)] [∀ i, Module R (Ms i)] variable {N : Type*} [AddCommGroup N] [Module R N] variable {Ns : ι → Type*} [∀ i, AddCommGroup (Ns i)] [∀ i, Module R (Ns i)] def piQuotientLift [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) : (∀ i, Ms i ⧸ p i) →ₗ[R] N ⧸ q := lsum R (fun i => Ms i ⧸ p i) R fun i => (p i).mapQ q (f i) (hf i) #align submodule.pi_quotient_lift Submodule.piQuotientLift @[simp] theorem piQuotientLift_mk [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (x : ∀ i, Ms i) : (piQuotientLift p q f hf fun i => Quotient.mk (x i)) = Quotient.mk (lsum _ _ R f x) := by rw [piQuotientLift, lsum_apply, sum_apply, ← mkQ_apply, lsum_apply, sum_apply, _root_.map_sum] simp only [coe_proj, mapQ_apply, mkQ_apply, comp_apply] #align submodule.pi_quotient_lift_mk Submodule.piQuotientLift_mk @[simp]
Mathlib/LinearAlgebra/QuotientPi.lean
50
60
theorem piQuotientLift_single [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (i) (x : Ms i ⧸ p i) : piQuotientLift p q f hf (Pi.single i x) = mapQ _ _ (f i) (hf i) x := by
simp_rw [piQuotientLift, lsum_apply, sum_apply, comp_apply, proj_apply] rw [Finset.sum_eq_single i] · rw [Pi.single_eq_same] · rintro j - hj rw [Pi.single_eq_of_ne hj, _root_.map_zero] · intros have := Finset.mem_univ i contradiction
1,449
import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Quotient #align_import linear_algebra.quotient_pi from "leanprover-community/mathlib"@"398f60f60b43ef42154bd2bdadf5133daf1577a4" namespace Submodule open LinearMap variable {ι R : Type*} [CommRing R] variable {Ms : ι → Type*} [∀ i, AddCommGroup (Ms i)] [∀ i, Module R (Ms i)] variable {N : Type*} [AddCommGroup N] [Module R N] variable {Ns : ι → Type*} [∀ i, AddCommGroup (Ns i)] [∀ i, Module R (Ns i)] def piQuotientLift [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) : (∀ i, Ms i ⧸ p i) →ₗ[R] N ⧸ q := lsum R (fun i => Ms i ⧸ p i) R fun i => (p i).mapQ q (f i) (hf i) #align submodule.pi_quotient_lift Submodule.piQuotientLift @[simp] theorem piQuotientLift_mk [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (x : ∀ i, Ms i) : (piQuotientLift p q f hf fun i => Quotient.mk (x i)) = Quotient.mk (lsum _ _ R f x) := by rw [piQuotientLift, lsum_apply, sum_apply, ← mkQ_apply, lsum_apply, sum_apply, _root_.map_sum] simp only [coe_proj, mapQ_apply, mkQ_apply, comp_apply] #align submodule.pi_quotient_lift_mk Submodule.piQuotientLift_mk @[simp] theorem piQuotientLift_single [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (i) (x : Ms i ⧸ p i) : piQuotientLift p q f hf (Pi.single i x) = mapQ _ _ (f i) (hf i) x := by simp_rw [piQuotientLift, lsum_apply, sum_apply, comp_apply, proj_apply] rw [Finset.sum_eq_single i] · rw [Pi.single_eq_same] · rintro j - hj rw [Pi.single_eq_of_ne hj, _root_.map_zero] · intros have := Finset.mem_univ i contradiction #align submodule.pi_quotient_lift_single Submodule.piQuotientLift_single def quotientPiLift (p : ∀ i, Submodule R (Ms i)) (f : ∀ i, Ms i →ₗ[R] Ns i) (hf : ∀ i, p i ≤ ker (f i)) : (∀ i, Ms i) ⧸ pi Set.univ p →ₗ[R] ∀ i, Ns i := (pi Set.univ p).liftQ (LinearMap.pi fun i => (f i).comp (proj i)) fun x hx => mem_ker.mpr <| by ext i simpa using hf i (mem_pi.mp hx i (Set.mem_univ i)) #align submodule.quotient_pi_lift Submodule.quotientPiLift @[simp] theorem quotientPiLift_mk (p : ∀ i, Submodule R (Ms i)) (f : ∀ i, Ms i →ₗ[R] Ns i) (hf : ∀ i, p i ≤ ker (f i)) (x : ∀ i, Ms i) : quotientPiLift p f hf (Quotient.mk x) = fun i => f i (x i) := rfl #align submodule.quotient_pi_lift_mk Submodule.quotientPiLift_mk -- Porting note (#11083): split up the definition to avoid timeouts. Still slow. namespace quotientPi_aux variable [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) @[simp] def toFun : ((∀ i, Ms i) ⧸ pi Set.univ p) → ∀ i, Ms i ⧸ p i := quotientPiLift p (fun i => (p i).mkQ) fun i => (ker_mkQ (p i)).ge @[simp] def invFun : (∀ i, Ms i ⧸ p i) → (∀ i, Ms i) ⧸ pi Set.univ p := piQuotientLift p (pi Set.univ p) single fun _ => le_comap_single_pi p theorem left_inv : Function.LeftInverse (invFun p) (toFun p) := fun x => Quotient.inductionOn' x fun x' => by rw [Quotient.mk''_eq_mk x'] dsimp only [toFun, invFun] rw [quotientPiLift_mk p, funext fun i => (mkQ_apply (p i) (x' i)), piQuotientLift_mk p, lsum_single, id_apply]
Mathlib/LinearAlgebra/QuotientPi.lean
99
108
theorem right_inv : Function.RightInverse (invFun p) (toFun p) := by
dsimp only [toFun, invFun] rw [Function.rightInverse_iff_comp, ← coe_comp, ← @id_coe R] refine congr_arg _ (pi_ext fun i x => Quotient.inductionOn' x fun x' => funext fun j => ?_) rw [comp_apply, piQuotientLift_single, Quotient.mk''_eq_mk, mapQ_apply, quotientPiLift_mk, id_apply] by_cases hij : i = j <;> simp only [mkQ_apply, coe_single] · subst hij rw [Pi.single_eq_same, Pi.single_eq_same] · rw [Pi.single_eq_of_ne (Ne.symm hij), Pi.single_eq_of_ne (Ne.symm hij), Quotient.mk_zero]
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import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp]
Mathlib/RingTheory/Ideal/Colon.lean
40
42
theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by
simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩
1,450
import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp] theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩ @[simp]
Mathlib/RingTheory/Ideal/Colon.lean
45
46
theorem colon_bot : colon ⊥ N = N.annihilator := by
simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const]
1,450
import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp] theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩ @[simp] theorem colon_bot : colon ⊥ N = N.annihilator := by simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const] theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ := fun _ hrnp => mem_colon.2 fun p₁ hp₁ => hn <| mem_colon.1 hrnp p₁ <| hp hp₁ #align submodule.colon_mono Submodule.colon_mono theorem iInf_colon_iSup (ι₁ : Sort*) (f : ι₁ → Submodule R M) (ι₂ : Sort*) (g : ι₂ → Submodule R M) : (⨅ i, f i).colon (⨆ j, g j) = ⨅ (i) (j), (f i).colon (g j) := le_antisymm (le_iInf fun _ => le_iInf fun _ => colon_mono (iInf_le _ _) (le_iSup _ _)) fun _ H => mem_colon'.2 <| iSup_le fun j => map_le_iff_le_comap.1 <| le_iInf fun i => map_le_iff_le_comap.2 <| mem_colon'.1 <| have := (mem_iInf _).1 H i have := (mem_iInf _).1 this j this #align submodule.infi_colon_supr Submodule.iInf_colon_iSup @[simp]
Mathlib/RingTheory/Ideal/Colon.lean
67
72
theorem mem_colon_singleton {N : Submodule R M} {x : M} {r : R} : r ∈ N.colon (Submodule.span R {x}) ↔ r • x ∈ N := calc r ∈ N.colon (Submodule.span R {x}) ↔ ∀ a : R, r • a • x ∈ N := by
simp [Submodule.mem_colon, Submodule.mem_span_singleton] _ ↔ r • x ∈ N := by simp_rw [fun (a : R) ↦ smul_comm r a x]; exact SetLike.forall_smul_mem_iff
1,450
import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp] theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩ @[simp] theorem colon_bot : colon ⊥ N = N.annihilator := by simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const] theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ := fun _ hrnp => mem_colon.2 fun p₁ hp₁ => hn <| mem_colon.1 hrnp p₁ <| hp hp₁ #align submodule.colon_mono Submodule.colon_mono theorem iInf_colon_iSup (ι₁ : Sort*) (f : ι₁ → Submodule R M) (ι₂ : Sort*) (g : ι₂ → Submodule R M) : (⨅ i, f i).colon (⨆ j, g j) = ⨅ (i) (j), (f i).colon (g j) := le_antisymm (le_iInf fun _ => le_iInf fun _ => colon_mono (iInf_le _ _) (le_iSup _ _)) fun _ H => mem_colon'.2 <| iSup_le fun j => map_le_iff_le_comap.1 <| le_iInf fun i => map_le_iff_le_comap.2 <| mem_colon'.1 <| have := (mem_iInf _).1 H i have := (mem_iInf _).1 this j this #align submodule.infi_colon_supr Submodule.iInf_colon_iSup @[simp] theorem mem_colon_singleton {N : Submodule R M} {x : M} {r : R} : r ∈ N.colon (Submodule.span R {x}) ↔ r • x ∈ N := calc r ∈ N.colon (Submodule.span R {x}) ↔ ∀ a : R, r • a • x ∈ N := by simp [Submodule.mem_colon, Submodule.mem_span_singleton] _ ↔ r • x ∈ N := by simp_rw [fun (a : R) ↦ smul_comm r a x]; exact SetLike.forall_smul_mem_iff #align submodule.mem_colon_singleton Submodule.mem_colon_singleton @[simp]
Mathlib/RingTheory/Ideal/Colon.lean
76
78
theorem _root_.Ideal.mem_colon_singleton {I : Ideal R} {x r : R} : r ∈ I.colon (Ideal.span {x}) ↔ r * x ∈ I := by
simp only [← Ideal.submodule_span_eq, Submodule.mem_colon_singleton, smul_eq_mul]
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import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp] theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩ @[simp] theorem colon_bot : colon ⊥ N = N.annihilator := by simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const] theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ := fun _ hrnp => mem_colon.2 fun p₁ hp₁ => hn <| mem_colon.1 hrnp p₁ <| hp hp₁ #align submodule.colon_mono Submodule.colon_mono theorem iInf_colon_iSup (ι₁ : Sort*) (f : ι₁ → Submodule R M) (ι₂ : Sort*) (g : ι₂ → Submodule R M) : (⨅ i, f i).colon (⨆ j, g j) = ⨅ (i) (j), (f i).colon (g j) := le_antisymm (le_iInf fun _ => le_iInf fun _ => colon_mono (iInf_le _ _) (le_iSup _ _)) fun _ H => mem_colon'.2 <| iSup_le fun j => map_le_iff_le_comap.1 <| le_iInf fun i => map_le_iff_le_comap.2 <| mem_colon'.1 <| have := (mem_iInf _).1 H i have := (mem_iInf _).1 this j this #align submodule.infi_colon_supr Submodule.iInf_colon_iSup @[simp] theorem mem_colon_singleton {N : Submodule R M} {x : M} {r : R} : r ∈ N.colon (Submodule.span R {x}) ↔ r • x ∈ N := calc r ∈ N.colon (Submodule.span R {x}) ↔ ∀ a : R, r • a • x ∈ N := by simp [Submodule.mem_colon, Submodule.mem_span_singleton] _ ↔ r • x ∈ N := by simp_rw [fun (a : R) ↦ smul_comm r a x]; exact SetLike.forall_smul_mem_iff #align submodule.mem_colon_singleton Submodule.mem_colon_singleton @[simp] theorem _root_.Ideal.mem_colon_singleton {I : Ideal R} {x r : R} : r ∈ I.colon (Ideal.span {x}) ↔ r * x ∈ I := by simp only [← Ideal.submodule_span_eq, Submodule.mem_colon_singleton, smul_eq_mul] #align ideal.mem_colon_singleton Ideal.mem_colon_singleton
Mathlib/RingTheory/Ideal/Colon.lean
81
84
theorem annihilator_quotient {N : Submodule R M} : Module.annihilator R (M ⧸ N) = N.colon ⊤ := by
simp_rw [SetLike.ext_iff, Module.mem_annihilator, colon, mem_annihilator, map_top, LinearMap.range_eq_top.mpr (mkQ_surjective N), mem_top, forall_true_left, forall_const]
1,450
import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp] theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩ @[simp] theorem colon_bot : colon ⊥ N = N.annihilator := by simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const] theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ := fun _ hrnp => mem_colon.2 fun p₁ hp₁ => hn <| mem_colon.1 hrnp p₁ <| hp hp₁ #align submodule.colon_mono Submodule.colon_mono theorem iInf_colon_iSup (ι₁ : Sort*) (f : ι₁ → Submodule R M) (ι₂ : Sort*) (g : ι₂ → Submodule R M) : (⨅ i, f i).colon (⨆ j, g j) = ⨅ (i) (j), (f i).colon (g j) := le_antisymm (le_iInf fun _ => le_iInf fun _ => colon_mono (iInf_le _ _) (le_iSup _ _)) fun _ H => mem_colon'.2 <| iSup_le fun j => map_le_iff_le_comap.1 <| le_iInf fun i => map_le_iff_le_comap.2 <| mem_colon'.1 <| have := (mem_iInf _).1 H i have := (mem_iInf _).1 this j this #align submodule.infi_colon_supr Submodule.iInf_colon_iSup @[simp] theorem mem_colon_singleton {N : Submodule R M} {x : M} {r : R} : r ∈ N.colon (Submodule.span R {x}) ↔ r • x ∈ N := calc r ∈ N.colon (Submodule.span R {x}) ↔ ∀ a : R, r • a • x ∈ N := by simp [Submodule.mem_colon, Submodule.mem_span_singleton] _ ↔ r • x ∈ N := by simp_rw [fun (a : R) ↦ smul_comm r a x]; exact SetLike.forall_smul_mem_iff #align submodule.mem_colon_singleton Submodule.mem_colon_singleton @[simp] theorem _root_.Ideal.mem_colon_singleton {I : Ideal R} {x r : R} : r ∈ I.colon (Ideal.span {x}) ↔ r * x ∈ I := by simp only [← Ideal.submodule_span_eq, Submodule.mem_colon_singleton, smul_eq_mul] #align ideal.mem_colon_singleton Ideal.mem_colon_singleton theorem annihilator_quotient {N : Submodule R M} : Module.annihilator R (M ⧸ N) = N.colon ⊤ := by simp_rw [SetLike.ext_iff, Module.mem_annihilator, colon, mem_annihilator, map_top, LinearMap.range_eq_top.mpr (mkQ_surjective N), mem_top, forall_true_left, forall_const]
Mathlib/RingTheory/Ideal/Colon.lean
86
87
theorem _root_.Ideal.annihilator_quotient {I : Ideal R} : Module.annihilator R (R ⧸ I) = I := by
rw [Submodule.annihilator_quotient, colon_top]
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import Mathlib.Algebra.EuclideanDomain.Instances import Mathlib.RingTheory.Ideal.Colon import Mathlib.RingTheory.UniqueFactorizationDomain #align_import ring_theory.principal_ideal_domain from "leanprover-community/mathlib"@"6010cf523816335f7bae7f8584cb2edaace73940" universe u v variable {R : Type u} {M : Type v} open Set Function open Submodule section variable [Ring R] [AddCommGroup M] [Module R M] instance bot_isPrincipal : (⊥ : Submodule R M).IsPrincipal := ⟨⟨0, by simp⟩⟩ #align bot_is_principal bot_isPrincipal instance top_isPrincipal : (⊤ : Submodule R R).IsPrincipal := ⟨⟨1, Ideal.span_singleton_one.symm⟩⟩ #align top_is_principal top_isPrincipal variable (R) class IsBezout : Prop where isPrincipal_of_FG : ∀ I : Ideal R, I.FG → I.IsPrincipal #align is_bezout IsBezout instance (priority := 100) IsBezout.of_isPrincipalIdealRing [IsPrincipalIdealRing R] : IsBezout R := ⟨fun I _ => IsPrincipalIdealRing.principal I⟩ #align is_bezout.of_is_principal_ideal_ring IsBezout.of_isPrincipalIdealRing instance (priority := 100) DivisionRing.isPrincipalIdealRing (K : Type u) [DivisionRing K] : IsPrincipalIdealRing K where principal S := by rcases Ideal.eq_bot_or_top S with (rfl | rfl) · apply bot_isPrincipal · apply top_isPrincipal #align division_ring.is_principal_ideal_ring DivisionRing.isPrincipalIdealRing end namespace Submodule.IsPrincipal variable [AddCommGroup M] section Ring variable [Ring R] [Module R M] noncomputable def generator (S : Submodule R M) [S.IsPrincipal] : M := Classical.choose (principal S) #align submodule.is_principal.generator Submodule.IsPrincipal.generator theorem span_singleton_generator (S : Submodule R M) [S.IsPrincipal] : span R {generator S} = S := Eq.symm (Classical.choose_spec (principal S)) #align submodule.is_principal.span_singleton_generator Submodule.IsPrincipal.span_singleton_generator @[simp] theorem _root_.Ideal.span_singleton_generator (I : Ideal R) [I.IsPrincipal] : Ideal.span ({generator I} : Set R) = I := Eq.symm (Classical.choose_spec (principal I)) #align ideal.span_singleton_generator Ideal.span_singleton_generator @[simp]
Mathlib/RingTheory/PrincipalIdealDomain.lean
104
106
theorem generator_mem (S : Submodule R M) [S.IsPrincipal] : generator S ∈ S := by
conv_rhs => rw [← span_singleton_generator S] exact subset_span (mem_singleton _)
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import Mathlib.Algebra.EuclideanDomain.Instances import Mathlib.RingTheory.Ideal.Colon import Mathlib.RingTheory.UniqueFactorizationDomain #align_import ring_theory.principal_ideal_domain from "leanprover-community/mathlib"@"6010cf523816335f7bae7f8584cb2edaace73940" universe u v variable {R : Type u} {M : Type v} open Set Function open Submodule section variable [Ring R] [AddCommGroup M] [Module R M] instance bot_isPrincipal : (⊥ : Submodule R M).IsPrincipal := ⟨⟨0, by simp⟩⟩ #align bot_is_principal bot_isPrincipal instance top_isPrincipal : (⊤ : Submodule R R).IsPrincipal := ⟨⟨1, Ideal.span_singleton_one.symm⟩⟩ #align top_is_principal top_isPrincipal variable (R) class IsBezout : Prop where isPrincipal_of_FG : ∀ I : Ideal R, I.FG → I.IsPrincipal #align is_bezout IsBezout instance (priority := 100) IsBezout.of_isPrincipalIdealRing [IsPrincipalIdealRing R] : IsBezout R := ⟨fun I _ => IsPrincipalIdealRing.principal I⟩ #align is_bezout.of_is_principal_ideal_ring IsBezout.of_isPrincipalIdealRing instance (priority := 100) DivisionRing.isPrincipalIdealRing (K : Type u) [DivisionRing K] : IsPrincipalIdealRing K where principal S := by rcases Ideal.eq_bot_or_top S with (rfl | rfl) · apply bot_isPrincipal · apply top_isPrincipal #align division_ring.is_principal_ideal_ring DivisionRing.isPrincipalIdealRing end namespace Submodule.IsPrincipal variable [AddCommGroup M] section Ring variable [Ring R] [Module R M] noncomputable def generator (S : Submodule R M) [S.IsPrincipal] : M := Classical.choose (principal S) #align submodule.is_principal.generator Submodule.IsPrincipal.generator theorem span_singleton_generator (S : Submodule R M) [S.IsPrincipal] : span R {generator S} = S := Eq.symm (Classical.choose_spec (principal S)) #align submodule.is_principal.span_singleton_generator Submodule.IsPrincipal.span_singleton_generator @[simp] theorem _root_.Ideal.span_singleton_generator (I : Ideal R) [I.IsPrincipal] : Ideal.span ({generator I} : Set R) = I := Eq.symm (Classical.choose_spec (principal I)) #align ideal.span_singleton_generator Ideal.span_singleton_generator @[simp] theorem generator_mem (S : Submodule R M) [S.IsPrincipal] : generator S ∈ S := by conv_rhs => rw [← span_singleton_generator S] exact subset_span (mem_singleton _) #align submodule.is_principal.generator_mem Submodule.IsPrincipal.generator_mem
Mathlib/RingTheory/PrincipalIdealDomain.lean
109
111
theorem mem_iff_eq_smul_generator (S : Submodule R M) [S.IsPrincipal] {x : M} : x ∈ S ↔ ∃ s : R, x = s • generator S := by
simp_rw [@eq_comm _ x, ← mem_span_singleton, span_singleton_generator]
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