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Mathlib.Logic.Hydra
{ "line": 80, "column": 40 }
{ "line": 80, "column": 57 }
{ "line": 80, "column": 57 }
[ { "pp": "α : Type u_1\nr : α → α → Prop\nx' x : α\nh✝ : r x' x\na : α\nh : a ∈ {x'}\n⊢ r a x", "ppTerm": "?m.16", "assigned": true, "usedConstants": [ "Eq.mpr", "congrArg", "Membership.mem", "Multiset", "id", "Multiset.instSingleton", "Multiset.instMembershi...
[ "α : Type u_1\nr : α → α → Prop\nx' x : α\nh✝ : r x' x\na : α\nh : a ∈ {x'}\n⊢ r x' x" ]
mem_singleton.1 h
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.Logic.Hydra
{ "line": 110, "column": 2 }
{ "line": 110, "column": 25 }
{ "line": 112, "column": 0 }
[ { "pp": "α : Type u_1\nr : α → α → Prop\ninst✝ : Std.Irrefl r\ns : Multiset α\n⊢ ¬∃ t a, (∀ a' ∈ t, r a' a) ∧ a ∈ 0 ∧ s = erase 0 a + t", "ppTerm": "?m.14", "assigned": true, "usedConstants": [ "False", "HEq.refl", "List.Mem.tail", "False.elim", "Classical.propDecidable...
[]
rintro ⟨_, _, _, ⟨⟩, _⟩
_private.Lean.Elab.Tactic.RCases.0.Lean.Elab.Tactic.RCases.evalRIntro
Lean.Parser.Tactic.rintro
Mathlib.Logic.Hydra
{ "line": 125, "column": 24 }
{ "line": 125, "column": 47 }
{ "line": 125, "column": 48 }
[ { "pp": "case inl.refine_2\nα : Type u_1\nr : α → α → Prop\ns₁ s₂ t : Multiset α\na : α\nhr : ∀ a' ∈ t, r a' a\nhe : (s₁ + s₂ + t).erase a + {a} = s₁ + s₂ + t\nh : a ∈ s₁\n⊢ (s₁.erase a + t, s₂).1 + (s₁.erase a + t, s₂).2 = (s₁ + (s₂ + t)).erase a", "ppTerm": "?inl.refine_2", "assigned": true, "used...
[ "case inl.refine_2\nα : Type u_1\nr : α → α → Prop\ns₁ s₂ t : Multiset α\na : α\nhr : ∀ a' ∈ t, r a' a\nhe : (s₁ + s₂ + t).erase a + {a} = s₁ + s₂ + t\nh : a ∈ s₁\n⊢ (s₁.erase a + t, s₂).1 + (s₁.erase a + t, s₂).2 = s₁.erase a + (s₂ + t)" ]
erase_add_left_pos _ h,
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.MeasureTheory.Constructions.ClosedCompactCylinders
{ "line": 44, "column": 2 }
{ "line": 44, "column": 65 }
{ "line": 45, "column": 2 }
[ { "pp": "ι : Type u_1\nX : ι → Type u_2\ninst✝ : (i : ι) → TopologicalSpace (X i)\n⊢ ∅ ∈ closedCompactCylinders X", "ppTerm": "?m.10", "assigned": true, "usedConstants": [ "Eq.mpr", "Pi.topologicalSpace", "Iff.of_eq", "congrArg", "_private.Mathlib.MeasureTheory.Construc...
[ "ι : Type u_1\nX : ι → Type u_2\ninst✝ : (i : ι) → TopologicalSpace (X i)\n⊢ ∃ i i_1, ∃ (_ : IsClosed i_1) (_ : IsCompact i_1), ∅ = cylinder i i_1" ]
simp_rw [closedCompactCylinders, mem_iUnion, mem_singleton_iff]
Mathlib.Tactic._aux_Mathlib_Tactic_SimpRw___elabRules_Mathlib_Tactic_tacticSimp_rw____1
Mathlib.Tactic.tacticSimp_rw___
Mathlib.MeasureTheory.SetSemiring
{ "line": 351, "column": 49 }
{ "line": 360, "column": 40 }
{ "line": 362, "column": 0 }
[ { "pp": "α : Type u_1\nC : Set (Set α)\ns : Set α\nI : Finset (Set α)\nhC : IsSetSemiring C\nhs : s ∈ C\nhI : ↑I ⊆ C\n⊢ Disjoint I (hC.disjointOfDiffUnion hs hI)", "ppTerm": "?m.16", "assigned": true, "usedConstants": [ "False", "Finset.decidableDisjoint", "congrArg", "Finset...
[]
by by_contra h rw [Finset.not_disjoint_iff] at h obtain ⟨u, huI, hu_disjointOfDiffUnion⟩ := h have h_disj : u ≤ ⊥ := hC.disjoint_sUnion_disjointOfDiffUnion hs hI (subset_sUnion_of_mem huI) (subset_sUnion_of_mem hu_disjointOfDiffUnion) simp only [Set.bot_eq_empty, subset_empty_iff] at h_disj refine h...
[anonymous]
Lean.Parser.Term.byTactic
Mathlib.MeasureTheory.SetSemiring
{ "line": 508, "column": 12 }
{ "line": 508, "column": 14 }
{ "line": 508, "column": 15 }
[ { "pp": "case inr.inr\nα : Type u_1\ninst✝¹ : LinearOrder α\ninst✝ : Nonempty α\nu v : α\nhuv : u ≤ v\nu' v' : α\nhu'v' : u' ≤ v'\nhu : u < u'\nhv : v' < v\na : Set α\n⊢ a ∈ ↑{Set.Ioc u u', Set.Ioc v' v} →\n ∀ ⦃y : Set α⦄, y ∈ ↑{Set.Ioc u u', Set.Ioc v' v} → a ≠ y → Function.onFun Disjoint id a y", "ppTe...
[ "case inr.inr\nα : Type u_1\ninst✝¹ : LinearOrder α\ninst✝ : Nonempty α\nu v : α\nhuv : u ≤ v\nu' v' : α\nhu'v' : u' ≤ v'\nhu : u < u'\nhv : v' < v\na : Set α\nha : a ∈ ↑{Set.Ioc u u', Set.Ioc v' v}\n⊢ ∀ ⦃y : Set α⦄, y ∈ ↑{Set.Ioc u u', Set.Ioc v' v} → a ≠ y → Function.onFun Disjoint id a y" ]
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.SetAlgebra
{ "line": 96, "column": 11 }
{ "line": 96, "column": 36 }
{ "line": 96, "column": 37 }
[ { "pp": "case pos\nα : Type u_1\n𝒜 : Set (Set α)\nι : Type u_2\nh𝒜 : IsSetAlgebra 𝒜\ns : ι → Set α\nS : Finset ι\nhs : ∀ i ∈ S, s i ∈ 𝒜\nh : S = ∅\n⊢ ⋂ i ∈ ∅, s i ∈ 𝒜", "ppTerm": "?pos✝", "assigned": true, "usedConstants": [ "Eq.mpr", "congrArg", "Set.iInter", "Finset", ...
[ "case pos\nα : Type u_1\n𝒜 : Set (Set α)\nι : Type u_2\nh𝒜 : IsSetAlgebra 𝒜\ns : ι → Set α\nS : Finset ι\nhs : ∀ i ∈ S, s i ∈ 𝒜\nh : S = ∅\n⊢ ⋂ x ∈ ↑∅, s x ∈ 𝒜" ]
← Finset.set_biInter_coe,
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.Topology.Order.WithTop
{ "line": 121, "column": 10 }
{ "line": 121, "column": 20 }
{ "line": 122, "column": 10 }
[ { "pp": "case a.inl.coe.coe.refine_1\nι : Type u_1\ninst✝¹ : Preorder ι\nts : TopologicalSpace ι\nht : OrderTopology ι\ninst✝ : SecondCountableTopology ι\nx₀ : ι\nc : Set ι\nc_count : c.Countable\nhc : ts = generateFrom {s | ∃ a ∈ c, s = Ioi a ∨ s = Iio a}\nc' : Set ι\nc'_count : c'.Countable\nhc' : Dense c'\nx...
[ "case a.inl.coe.coe.refine_1\nι : Type u_1\ninst✝¹ : Preorder ι\nts : TopologicalSpace ι\nht : OrderTopology ι\ninst✝ : SecondCountableTopology ι\nx₀ : ι\nc : Set ι\nc_count : c.Countable\nhc : ts = generateFrom {s | ∃ a ∈ c, s = Ioi a ∨ s = Iio a}\nc' : Set ι\nc'_count : c'.Countable\nhc' : Dense c'\nx₁ : ι := if ...
intro w hw
Lean.Elab.Tactic.evalIntro
Lean.Parser.Tactic.intro
Mathlib.MeasureTheory.Measure.AddContent
{ "line": 235, "column": 2 }
{ "line": 235, "column": 30 }
{ "line": 237, "column": 0 }
[ { "pp": "α : Type u_1\nC : Set (Set α)\nG : Type u_2\ninst✝ : AddCommMonoid G\nhC : IsSetSemiring C\nm : AddContent G C\ns : Set α\nJ : Finset (Set α)\nhJ : ↑J ⊆ C\nh'J : (↑J).PairwiseDisjoint id\nhs : s = ⋃₀ ↑J\nh : ∃ J, ↑J ⊆ C ∧ (↑J).PairwiseDisjoint id ∧ s = ⋃₀ ↑J\n⊢ ⋃₀ ↑h.choose = s", "ppTerm": "?m.71",...
[]
exact h.choose_spec.2.2.symm
Lean.Elab.Tactic.evalExact
Lean.Parser.Tactic.exact
Mathlib.Topology.Order.WithTop
{ "line": 161, "column": 10 }
{ "line": 161, "column": 20 }
{ "line": 162, "column": 10 }
[ { "pp": "case a.inr.coe.coe.refine_1\nι : Type u_1\ninst✝¹ : Preorder ι\nts : TopologicalSpace ι\nht : OrderTopology ι\ninst✝ : SecondCountableTopology ι\nx₀ : ι\nc : Set ι\nc_count : c.Countable\nhc : ts = generateFrom {s | ∃ a ∈ c, s = Ioi a ∨ s = Iio a}\nc' : Set ι\nc'_count : c'.Countable\nhc' : Dense c'\nx...
[ "case a.inr.coe.coe.refine_1\nι : Type u_1\ninst✝¹ : Preorder ι\nts : TopologicalSpace ι\nht : OrderTopology ι\ninst✝ : SecondCountableTopology ι\nx₀ : ι\nc : Set ι\nc_count : c.Countable\nhc : ts = generateFrom {s | ∃ a ∈ c, s = Ioi a ∨ s = Iio a}\nc' : Set ι\nc'_count : c'.Countable\nhc' : Dense c'\nx₁ : ι := if ...
intro w hw
Lean.Elab.Tactic.evalIntro
Lean.Parser.Tactic.intro
Mathlib.Topology.Order.WithTop
{ "line": 283, "column": 6 }
{ "line": 283, "column": 57 }
{ "line": 283, "column": 58 }
[ { "pp": "case inr\nι : Type u_1\ninst✝² : LinearOrder ι\ninst✝¹ : TopologicalSpace ι\ninst✝ : OrderTopology ι\nα : Type u_2\nf : Filter α\nx : α → WithTop ι\nh : Nonempty ι\n⊢ (∀ i < ⊤, ∀ᶠ (x_1 : α) in f, x x_1 ∈ Ioi i) ↔ ∀ (i : ι), ∀ᶠ (a : α) in f, ↑i < x a", "ppTerm": "?inr", "assigned": true, "us...
[ "case inr\nι : Type u_1\ninst✝² : LinearOrder ι\ninst✝¹ : TopologicalSpace ι\ninst✝ : OrderTopology ι\nα : Type u_2\nf : Filter α\nx : α → WithTop ι\nh : Nonempty ι\n⊢ (∀ i < ⊤, ∀ᶠ (x_1 : α) in f, x x_1 ∈ Ioi i) ↔ ∀ a ∈ range some, ∀ᶠ (a_2 : α) in f, a < x a_2" ]
← Set.forall_mem_range (p := (∀ᶠ a in f, · < x a)),
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.Topology.Order.WithTop
{ "line": 290, "column": 6 }
{ "line": 290, "column": 26 }
{ "line": 290, "column": 26 }
[ { "pp": "case inr\nι : Type u_1\ninst✝³ : LinearOrder ι\ninst✝² : TopologicalSpace ι\ninst✝¹ : OrderTopology ι\ninst✝ : NoMaxOrder ι\nh : Nonempty ι\n⊢ Tendsto some atTop (𝓝 ⊤)", "ppTerm": "?inr", "assigned": true, "usedConstants": [ "Eq.mpr", "Preorder.toLT", "WithTop.instPreorde...
[ "case inr\nι : Type u_1\ninst✝³ : LinearOrder ι\ninst✝² : TopologicalSpace ι\ninst✝¹ : OrderTopology ι\ninst✝ : NoMaxOrder ι\nh : Nonempty ι\n⊢ ∀ (i : ι), ∀ᶠ (a : ι) in atTop, ↑i < ↑a" ]
tendsto_nhds_top_iff
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.LinearAlgebra.Transvection.Generation
{ "line": 447, "column": 10 }
{ "line": 448, "column": 64 }
{ "line": 449, "column": 6 }
[ { "pp": "case inl.refine_2\nK : Type u_1\ninst✝³ : DivisionRing K\nV : Type u_2\ninst✝² : AddCommGroup V\ninst✝¹ : Module K V\ninst✝ : Module.Finite K V\nn✝ : ℕ\ne : V ≃ₗ[K] V\nhe : ∀ (a : K), ∃ x, e.fixedReduce x ≠ a • x\nn : ℕ\nhind :\n ∀ {e : V ≃ₗ[K] V},\n (∀ (a : K), ∃ x, ¬e.fixedReduce x = a • x) →\n ...
[]
rw [mem_dilatransvections_iff_finrank_quotient, auxTransvection_mul_fixed hfv, hrank, hn0, zero_add]
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_rwSeq_1
Lean.Parser.Tactic.rwSeq
Mathlib.LinearAlgebra.Transvection.Generation
{ "line": 447, "column": 10 }
{ "line": 448, "column": 64 }
{ "line": 449, "column": 6 }
[ { "pp": "case inl.refine_2\nK : Type u_1\ninst✝³ : DivisionRing K\nV : Type u_2\ninst✝² : AddCommGroup V\ninst✝¹ : Module K V\ninst✝ : Module.Finite K V\nn✝ : ℕ\ne : V ≃ₗ[K] V\nhe : ∀ (a : K), ∃ x, e.fixedReduce x ≠ a • x\nn : ℕ\nhind :\n ∀ {e : V ≃ₗ[K] V},\n (∀ (a : K), ∃ x, ¬e.fixedReduce x = a • x) →\n ...
[]
rw [mem_dilatransvections_iff_finrank_quotient, auxTransvection_mul_fixed hfv, hrank, hn0, zero_add]
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.LinearAlgebra.Transvection.Generation
{ "line": 447, "column": 10 }
{ "line": 448, "column": 64 }
{ "line": 449, "column": 6 }
[ { "pp": "case inl.refine_2\nK : Type u_1\ninst✝³ : DivisionRing K\nV : Type u_2\ninst✝² : AddCommGroup V\ninst✝¹ : Module K V\ninst✝ : Module.Finite K V\nn✝ : ℕ\ne : V ≃ₗ[K] V\nhe : ∀ (a : K), ∃ x, e.fixedReduce x ≠ a • x\nn : ℕ\nhind :\n ∀ {e : V ≃ₗ[K] V},\n (∀ (a : K), ∃ x, ¬e.fixedReduce x = a • x) →\n ...
[]
rw [mem_dilatransvections_iff_finrank_quotient, auxTransvection_mul_fixed hfv, hrank, hn0, zero_add]
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 94, "column": 2 }
{ "line": 94, "column": 38 }
{ "line": 95, "column": 2 }
[ { "pp": "case neg\nΩ : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁸ : NormedAddCommGroup E\ninst✝⁷ : NormedSpace ℝ E\ninst✝⁶ : NormedAddCommGroup F\ninst✝⁵ : NormedSpace ℝ F\ninst✝⁴ : NormedAddCommGroup G\ninst✝³ : NormedSpace ℝ G\ninst✝² : CompleteSpace G\...
[ "case neg\nΩ : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁸ : NormedAddCommGroup E\ninst✝⁷ : NormedSpace ℝ E\ninst✝⁶ : NormedAddCommGroup F\ninst✝⁵ : NormedSpace ℝ F\ninst✝⁴ : NormedAddCommGroup G\ninst✝³ : NormedSpace ℝ G\ninst✝² : CompleteSpace G\nB : F →L[ℝ]...
have : (ae μ).NeBot := ae_neBot.2 hμ
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_tacticHave___1
Lean.Parser.Tactic.tacticHave__
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 289, "column": 2 }
{ "line": 289, "column": 77 }
{ "line": 290, "column": 2 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\nμ : Measure α\ninst✝ : NormedAddCommGroup β\np : ℝ≥0∞\nf : α → β\nhf : MemLp f p μ\nhmeas : StronglyMeasurable f\nε : ℝ\nhε : 0 < ε\nhp_ne_zero : ¬p = 0\nhp_ne_top : ¬p = ∞\nM : ℝ\nhM' : 0 ≤ M\nhM :\n ∫⁻ (x : α), ‖{x | M ≤ ↑‖‖f x‖ ^ p.toReal‖₊}.indica...
[ "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\nμ : Measure α\ninst✝ : NormedAddCommGroup β\np : ℝ≥0∞\nf : α → β\nhf : MemLp f p μ\nhmeas : StronglyMeasurable f\nε : ℝ\nhε : 0 < ε\nhp_ne_zero : ¬p = 0\nhp_ne_top : ¬p = ∞\nM : ℝ\nhM' : 0 ≤ M\nhM :\n ∫⁻ (x : α), ‖{x | M ≤ ↑‖‖f x‖ ^ p.toReal‖₊}.indicator (fun x ↦...
rw [enorm_indicator_eq_indicator_enorm, enorm_indicator_eq_indicator_enorm]
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_rwSeq_1
Lean.Parser.Tactic.rwSeq
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 141, "column": 40 }
{ "line": 141, "column": 42 }
{ "line": 141, "column": 43 }
[ { "pp": "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁸ : NormedAddCommGroup E\ninst✝⁷ : NormedSpace ℝ E\ninst✝⁶ : NormedAddCommGroup F\ninst✝⁵ : NormedSpace ℝ F\ninst✝⁴ : NormedAddCommGroup G\ninst✝³ : NormedSpace ℝ G\ninst✝² : CompleteSpace G\nB : F →L[...
[ "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁸ : NormedAddCommGroup E\ninst✝⁷ : NormedSpace ℝ E\ninst✝⁶ : NormedAddCommGroup F\ninst✝⁵ : NormedSpace ℝ F\ninst✝⁴ : NormedAddCommGroup G\ninst✝³ : NormedSpace ℝ G\ninst✝² : CompleteSpace G\nB : F →L[ℝ] E →L[ℝ] G...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 141, "column": 56 }
{ "line": 141, "column": 58 }
{ "line": 141, "column": 58 }
[ { "pp": "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁸ : NormedAddCommGroup E\ninst✝⁷ : NormedSpace ℝ E\ninst✝⁶ : NormedAddCommGroup F\ninst✝⁵ : NormedSpace ℝ F\ninst✝⁴ : NormedAddCommGroup G\ninst✝³ : NormedSpace ℝ G\ninst✝² : CompleteSpace G\nB : F →L[...
[ "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁸ : NormedAddCommGroup E\ninst✝⁷ : NormedSpace ℝ E\ninst✝⁶ : NormedAddCommGroup F\ninst✝⁵ : NormedSpace ℝ F\ninst✝⁴ : NormedAddCommGroup G\ninst✝³ : NormedSpace ℝ G\ninst✝² : CompleteSpace G\nB : F →L[ℝ] E →L[ℝ] G...
ha
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Hahn
{ "line": 200, "column": 4 }
{ "line": 200, "column": 52 }
{ "line": 201, "column": 4 }
[ { "pp": "case succ\nα : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni : Set α\nhi₂ : ¬s ≤[i] 0\nn : ℕ\nhn : ¬s ≤[i \\ ⋃ k, ⋃ (_ : k < n + 1), s.restrictNonposSeq i k] 0\nh₁ : ¬s ≤[i \\ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k] 0\n⊢ 0 < s (s.someExistsOneDivLT (i \\ ⋃ k, ⋃ (_ : k ≤ n), s.restric...
[ "case succ\nα : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni : Set α\nhi₂ : ¬s ≤[i] 0\nn : ℕ\nhn : ¬s ≤[i \\ ⋃ k, ⋃ (_ : k < n + 1), s.restrictNonposSeq i k] 0\nh₁ : ¬s ≤[i \\ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k] 0\nleft✝¹ :\n s.someExistsOneDivLT (i \\ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSe...
rcases someExistsOneDivLT_spec h₁ with ⟨_, _, h⟩
_private.Lean.Elab.Tactic.RCases.0.Lean.Elab.Tactic.RCases.evalRCases
Lean.Parser.Tactic.rcases
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 361, "column": 2 }
{ "line": 361, "column": 39 }
{ "line": 362, "column": 2 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\nμ : Measure α\ninst✝ : NormedAddCommGroup β\np : ℝ≥0∞\nf : α → β\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nhf : MemLp f p μ\nhmeas : StronglyMeasurable f\nε : ℝ\nhε : 0 < ε\nM : ℝ\nhMpos : 0 < M\nhM : eLpNorm ({x | M ≤ ↑‖f x‖₊}.indicator f) p μ ≤ ENNReal.ofReal...
[ "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\nμ : Measure α\ninst✝ : NormedAddCommGroup β\np : ℝ≥0∞\nf : α → β\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nhf : MemLp f p μ\nhmeas : StronglyMeasurable f\nε : ℝ\nhε : 0 < ε\nM : ℝ\nhMpos : 0 < M\nhM : eLpNorm ({x | M ≤ ↑‖f x‖₊}.indicator f) p μ ≤ ENNReal.ofReal ε\nδ : ℝ\nh...
refine ⟨δ, hδpos, fun s hs hμs => ?_⟩
Lean.Elab.Tactic.evalRefine
Lean.Parser.Tactic.refine
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 206, "column": 40 }
{ "line": 206, "column": 42 }
{ "line": 206, "column": 43 }
[ { "pp": "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[...
[ "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[ℝ] E →L[ℝ] G...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 206, "column": 56 }
{ "line": 206, "column": 58 }
{ "line": 206, "column": 58 }
[ { "pp": "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[...
[ "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[ℝ] E →L[ℝ] G...
ha
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 212, "column": 40 }
{ "line": 212, "column": 42 }
{ "line": 212, "column": 43 }
[ { "pp": "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[...
[ "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[ℝ] E →L[ℝ] G...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Function.ConditionalExpectation.PullOut
{ "line": 212, "column": 56 }
{ "line": 212, "column": 58 }
{ "line": 212, "column": 58 }
[ { "pp": "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[...
[ "Ω : Type u_1\nm mΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_2\nF : Type u_3\nG : Type u_4\ninst✝⁷ : NormedAddCommGroup E\ninst✝⁶ : NormedSpace ℝ E\ninst✝⁵ : NormedAddCommGroup F\ninst✝⁴ : NormedSpace ℝ F\ninst✝³ : NormedAddCommGroup G\ninst✝² : NormedSpace ℝ G\ninst✝¹ : CompleteSpace G\nB : F →L[ℝ] E →L[ℝ] G...
ha
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.MeasureTheory.VectorMeasure.Basic
{ "line": 903, "column": 94 }
{ "line": 910, "column": 8 }
{ "line": 912, "column": 0 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\ninst✝⁵ : MeasurableSpace β\nM : Type u_3\ninst✝⁴ : AddCommMonoid M\ninst✝³ : TopologicalSpace M\nR : Type u_4\ninst✝² : Semiring R\ninst✝¹ : DistribMulAction R M\ninst✝ : ContinuousConstSMul R M\nv : VectorMeasure α M\nf : α → β\nc : R\n⊢ (c • v).map f...
[]
by by_cases hf : Measurable f · ext i hi simp [map_apply _ hf hi] · simp only [map, dif_neg hf] -- `smul_zero` does not work since we do not require `ContinuousAdd` ext i simp
[anonymous]
Lean.Parser.Term.byTactic
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Jordan
{ "line": 142, "column": 2 }
{ "line": 142, "column": 71 }
{ "line": 144, "column": 0 }
[ { "pp": "α : Type u_1\ninst✝ : MeasurableSpace α\nj : JordanDecomposition α\nr : ℝ\nhr : r < 0\n⊢ (r • j).posPart = (-r).toNNReal • j.negPart", "ppTerm": "?m.21", "assigned": true, "usedConstants": [ "not_le", "Iff.mpr", "MeasureTheory.JordanDecomposition.posPart", "Eq.mpr", ...
[]
rw [real_smul_def, ← smul_negPart, if_neg (not_le.2 hr), neg_posPart]
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_rwSeq_1
Lean.Parser.Tactic.rwSeq
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Jordan
{ "line": 142, "column": 2 }
{ "line": 142, "column": 71 }
{ "line": 144, "column": 0 }
[ { "pp": "α : Type u_1\ninst✝ : MeasurableSpace α\nj : JordanDecomposition α\nr : ℝ\nhr : r < 0\n⊢ (r • j).posPart = (-r).toNNReal • j.negPart", "ppTerm": "?m.21", "assigned": true, "usedConstants": [ "not_le", "Iff.mpr", "MeasureTheory.JordanDecomposition.posPart", "Eq.mpr", ...
[]
rw [real_smul_def, ← smul_negPart, if_neg (not_le.2 hr), neg_posPart]
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Jordan
{ "line": 142, "column": 2 }
{ "line": 142, "column": 71 }
{ "line": 144, "column": 0 }
[ { "pp": "α : Type u_1\ninst✝ : MeasurableSpace α\nj : JordanDecomposition α\nr : ℝ\nhr : r < 0\n⊢ (r • j).posPart = (-r).toNNReal • j.negPart", "ppTerm": "?m.21", "assigned": true, "usedConstants": [ "not_le", "Iff.mpr", "MeasureTheory.JordanDecomposition.posPart", "Eq.mpr", ...
[]
rw [real_smul_def, ← smul_negPart, if_neg (not_le.2 hr), neg_posPart]
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Jordan
{ "line": 234, "column": 6 }
{ "line": 234, "column": 35 }
{ "line": 234, "column": 36 }
[ { "pp": "α : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni : Set α\nhi₁ : MeasurableSet i\nhi₂ : 0 ≤[i] s\nhi₃ : s ≤[iᶜ] 0\nhμ : s.toJordanDecomposition.posPart = s.toMeasureOfZeroLE i hi₁ hi₂\nhν : s.toJordanDecomposition.negPart = s.toMeasureOfLEZero iᶜ ⋯ hi₃\nk : Set α\nhk : MeasurableSet k\n⊢ ...
[ "α : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni : Set α\nhi₁ : MeasurableSet i\nhi₂ : 0 ≤[i] s\nhi₃ : s ≤[iᶜ] 0\nhμ : s.toJordanDecomposition.posPart = s.toMeasureOfZeroLE i hi₁ hi₂\nhν : s.toJordanDecomposition.negPart = s.toMeasureOfLEZero iᶜ ⋯ hi₃\nk : Set α\nhk : MeasurableSet k\n⊢ (s.toMeasure...
toSignedMeasure_sub_apply hk,
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.MeasureTheory.VectorMeasure.Basic
{ "line": 1077, "column": 2 }
{ "line": 1077, "column": 28 }
{ "line": 1079, "column": 0 }
[ { "pp": "case refine_2\nα : Type u_1\nm : MeasurableSpace α\nM : Type u_3\ninst✝⁴ : TopologicalSpace M\ninst✝³ : AddCommMonoid M\ninst✝² : PartialOrder M\ninst✝¹ : IsOrderedAddMonoid M\ninst✝ : OrderClosedTopology M\nv w : VectorMeasure α M\ni j : Set α\nhi₁ : MeasurableSet i\nhi₂ : v ≤[i] w\nhj₁ : MeasurableSe...
[]
· rintro (_ | _) <;> simpa
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 398, "column": 2 }
{ "line": 398, "column": 39 }
{ "line": 399, "column": 2 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\nμ : Measure α\ninst✝ : NormedAddCommGroup β\np : ℝ≥0∞\nf : α → β\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nε : ℝ\nhε : 0 < ε\nhℒp : MemLp f p μ\nright✝ : eLpNorm f p μ < ∞\nf' : α → β\nhf' : StronglyMeasurable f'\nheq : f =ᵐ[μ] f'\nδ : ℝ\nhδpos : 0 < δ\nhδ : ∀ ...
[ "α : Type u_1\nβ : Type u_2\nm : MeasurableSpace α\nμ : Measure α\ninst✝ : NormedAddCommGroup β\np : ℝ≥0∞\nf : α → β\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nε : ℝ\nhε : 0 < ε\nhℒp : MemLp f p μ\nright✝ : eLpNorm f p μ < ∞\nf' : α → β\nhf' : StronglyMeasurable f'\nheq : f =ᵐ[μ] f'\nδ : ℝ\nhδpos : 0 < δ\nhδ : ∀ (s : Set α),...
refine ⟨δ, hδpos, fun s hs hμs => ?_⟩
Lean.Elab.Tactic.evalRefine
Lean.Parser.Tactic.refine
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Jordan
{ "line": 463, "column": 69 }
{ "line": 464, "column": 39 }
{ "line": 466, "column": 0 }
[ { "pp": "α : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\n⊢ IsFiniteMeasure s.totalVariation", "ppTerm": "?m.6", "assigned": true, "usedConstants": [ "MeasureTheory.JordanDecomposition.posPart", "MeasureTheory.SignedMeasure.totalVariation", "MeasureTheory.isFiniteMeasu...
[]
by unfold totalVariation; infer_instance
[anonymous]
Lean.Parser.Term.byTactic
Mathlib.MeasureTheory.VectorMeasure.Basic
{ "line": 1331, "column": 20 }
{ "line": 1331, "column": 34 }
{ "line": 1331, "column": 34 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm✝ : MeasurableSpace α\nL : Type u_3\nM : Type u_4\nN : Type u_5\ninst✝⁵ : AddCommMonoid L\ninst✝⁴ : TopologicalSpace L\ninst✝³ : AddCommMonoid M\ninst✝² : TopologicalSpace M\ninst✝¹ : AddCommMonoid N\ninst✝ : TopologicalSpace N\nm n : MeasurableSpace α\nv : VectorMeasure α ...
[]
rw [if_neg hi]
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_rwSeq_1
Lean.Parser.Tactic.rwSeq
Mathlib.MeasureTheory.VectorMeasure.Basic
{ "line": 1331, "column": 20 }
{ "line": 1331, "column": 34 }
{ "line": 1331, "column": 34 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm✝ : MeasurableSpace α\nL : Type u_3\nM : Type u_4\nN : Type u_5\ninst✝⁵ : AddCommMonoid L\ninst✝⁴ : TopologicalSpace L\ninst✝³ : AddCommMonoid M\ninst✝² : TopologicalSpace M\ninst✝¹ : AddCommMonoid N\ninst✝ : TopologicalSpace N\nm n : MeasurableSpace α\nv : VectorMeasure α ...
[]
rw [if_neg hi]
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.MeasureTheory.VectorMeasure.Basic
{ "line": 1331, "column": 20 }
{ "line": 1331, "column": 34 }
{ "line": 1331, "column": 34 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nm✝ : MeasurableSpace α\nL : Type u_3\nM : Type u_4\nN : Type u_5\ninst✝⁵ : AddCommMonoid L\ninst✝⁴ : TopologicalSpace L\ninst✝³ : AddCommMonoid M\ninst✝² : TopologicalSpace M\ninst✝¹ : AddCommMonoid N\ninst✝ : TopologicalSpace N\nm n : MeasurableSpace α\nv : VectorMeasure α ...
[]
rw [if_neg hi]
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Hahn
{ "line": 430, "column": 4 }
{ "line": 430, "column": 29 }
{ "line": 431, "column": 4 }
[ { "pp": "case left.hA\nα : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni j : Set α\nhi : MeasurableSet i\nhj : MeasurableSet j\nhi' : (∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ i → 0 j ≤ s j) ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j\nhj' :\n (∀ ⦃j_1 : Set α⦄, MeasurableSet j_1 → j_1 ⊆ j →...
[ "case left.hB\nα : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni j : Set α\nhi : MeasurableSet i\nhj : MeasurableSet j\nhi' : (∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ i → 0 j ≤ s j) ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j\nhj' :\n (∀ ⦃j_1 : Set α⦄, MeasurableSet j_1 → j_1 ⊆ j → 0 j_1 ≤ s j...
· exact hj.compl.inter hi
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Lebesgue
{ "line": 203, "column": 6 }
{ "line": 203, "column": 75 }
{ "line": 204, "column": 2 }
[ { "pp": "case e'_3.e'_6\nα : Type u_1\nm : MeasurableSpace α\nμ : Measure α\ns : SignedMeasure α\ninst✝ : s.HaveLebesgueDecomposition μ\n⊢ s.toJordanDecomposition.negPart =\n s.toJordanDecomposition.negPart.singularPart μ + μ.withDensity (s.toJordanDecomposition.negPart.rnDeriv μ)", "ppTerm": "?e'_3.e'_6...
[]
exact s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ
Lean.Elab.Tactic.evalExact
Lean.Parser.Tactic.exact
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Hahn
{ "line": 438, "column": 4 }
{ "line": 441, "column": 45 }
{ "line": 442, "column": 4 }
[ { "pp": "case right.h\nα : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni j : Set α\nhi : MeasurableSet i\nhj : MeasurableSet j\nhi' : (∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ i → 0 j ≤ s j) ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j\nhj' :\n (∀ ⦃j_1 : Set α⦄, MeasurableSet j_1 → j_1 ⊆ j →...
[ "case right.hA\nα : Type u_1\ninst✝ : MeasurableSpace α\ns : SignedMeasure α\ni j : Set α\nhi : MeasurableSet i\nhj : MeasurableSet j\nhi' : (∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ i → 0 j ≤ s j) ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j\nhj' :\n (∀ ⦃j_1 : Set α⦄, MeasurableSet j_1 → j_1 ⊆ j → 0 j_1 ≤ s ...
· exact Set.disjoint_of_subset_left Set.inter_subset_left (Set.disjoint_of_subset_right Set.inter_subset_right (IsCompl.disjoint isCompl_compl))
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.Function.LpSeminorm.LpNorm
{ "line": 176, "column": 4 }
{ "line": 181, "column": 72 }
{ "line": 182, "column": 2 }
[ { "pp": "case pos\nα : Type u_1\nE : Type u_2\nm : MeasurableSpace α\np : ℝ≥0∞\nμ : Measure α\ninst✝ : NormedAddCommGroup E\nf g : α → E\nhf : MemLp f p μ\nhp : 1 ≤ p\nhg : MemLp g p μ\n⊢ lpNorm (f + g) p μ ≤ lpNorm f p μ + lpNorm g p μ", "ppTerm": "?pos✝", "assigned": true, "usedConstants": [ ...
[]
rw [← toReal_eLpNorm (hf.add hg).aestronglyMeasurable, ← toReal_eLpNorm hf.aestronglyMeasurable, ← toReal_eLpNorm hg.aestronglyMeasurable, ← ENNReal.toReal_add hf.eLpNorm_ne_top hg.eLpNorm_ne_top] gcongr exacts [ENNReal.add_ne_top.2 ⟨hf.eLpNorm_ne_top, hg.eLpNorm_ne_top⟩, eLpNorm_add_le hf.aes...
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.MeasureTheory.Function.LpSeminorm.LpNorm
{ "line": 176, "column": 4 }
{ "line": 181, "column": 72 }
{ "line": 182, "column": 2 }
[ { "pp": "case pos\nα : Type u_1\nE : Type u_2\nm : MeasurableSpace α\np : ℝ≥0∞\nμ : Measure α\ninst✝ : NormedAddCommGroup E\nf g : α → E\nhf : MemLp f p μ\nhp : 1 ≤ p\nhg : MemLp g p μ\n⊢ lpNorm (f + g) p μ ≤ lpNorm f p μ + lpNorm g p μ", "ppTerm": "?pos✝", "assigned": true, "usedConstants": [ ...
[]
rw [← toReal_eLpNorm (hf.add hg).aestronglyMeasurable, ← toReal_eLpNorm hf.aestronglyMeasurable, ← toReal_eLpNorm hg.aestronglyMeasurable, ← ENNReal.toReal_add hf.eLpNorm_ne_top hg.eLpNorm_ne_top] gcongr exacts [ENNReal.add_ne_top.2 ⟨hf.eLpNorm_ne_top, hg.eLpNorm_ne_top⟩, eLpNorm_add_le hf.aes...
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.MeasureTheory.Function.ConditionalExpectation.Real
{ "line": 47, "column": 2 }
{ "line": 48, "column": 95 }
{ "line": 49, "column": 2 }
[ { "pp": "case refine_1\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nhm : m ≤ m0\nhμm : SigmaFinite (μ.trim hm)\nf : α → ℝ\nhf : Integrable f μ\n⊢ ∀ (s : Set α),\n MeasurableSet s → μ s < ∞ → IntegrableOn (SignedMeasure.rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm)) s μ", "ppTerm": "?refine_...
[ "case refine_2\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nhm : m ≤ m0\nhμm : SigmaFinite (μ.trim hm)\nf : α → ℝ\nhf : Integrable f μ\n⊢ ∀ (s : Set α),\n MeasurableSet s →\n μ s < ∞ →\n ∫ (x : α) in s, SignedMeasure.rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm) x ∂μ = ∫ (x : α) in s, f...
· exact fun _ _ _ => (integrable_of_integrable_trim hm (SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm))).integrableOn
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Lebesgue
{ "line": 374, "column": 2 }
{ "line": 378, "column": 44 }
{ "line": 380, "column": 0 }
[ { "pp": "α : Type u_1\nm : MeasurableSpace α\ns : SignedMeasure α\nμ : Measure α\ninst✝ : s.HaveLebesgueDecomposition μ\n⊢ (-s).rnDeriv μ =ᵐ[μ] -s.rnDeriv μ", "ppTerm": "?m.22", "assigned": true, "usedConstants": [ "Eq.mpr", "InnerProductSpace.toNormedSpace", "NegZeroClass.toNeg", ...
[]
refine Integrable.ae_eq_of_withDensityᵥ_eq (integrable_rnDeriv _ _) (integrable_rnDeriv _ _).neg ?_ rw [withDensityᵥ_neg, ← add_right_inj ((-s).singularPart μ), singularPart_add_withDensity_rnDeriv_eq, singularPart_neg, ← neg_add, singularPart_add_withDensity_rnDeriv_eq]
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.MeasureTheory.VectorMeasure.Decomposition.Lebesgue
{ "line": 374, "column": 2 }
{ "line": 378, "column": 44 }
{ "line": 380, "column": 0 }
[ { "pp": "α : Type u_1\nm : MeasurableSpace α\ns : SignedMeasure α\nμ : Measure α\ninst✝ : s.HaveLebesgueDecomposition μ\n⊢ (-s).rnDeriv μ =ᵐ[μ] -s.rnDeriv μ", "ppTerm": "?m.22", "assigned": true, "usedConstants": [ "Eq.mpr", "InnerProductSpace.toNormedSpace", "NegZeroClass.toNeg", ...
[]
refine Integrable.ae_eq_of_withDensityᵥ_eq (integrable_rnDeriv _ _) (integrable_rnDeriv _ _).neg ?_ rw [withDensityᵥ_neg, ← add_right_inj ((-s).singularPart μ), singularPart_add_withDensity_rnDeriv_eq, singularPart_neg, ← neg_add, singularPart_add_withDensity_rnDeriv_eq]
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.MeasureTheory.Function.ConditionalExpectation.Real
{ "line": 78, "column": 35 }
{ "line": 78, "column": 37 }
{ "line": 78, "column": 38 }
[ { "pp": "α : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : PartialOrder E\ninst✝² : ClosedIciTopology E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\nf : α → E\nc : E\nhc : 0 ≤ c\nhfc : ...
[ "α : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : PartialOrder E\ninst✝² : ClosedIciTopology E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\nf : α → E\nc : E\nhc : 0 ≤ c\nhfc : ∀ᵐ (x : α) ∂...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Function.ConditionalExpectation.Real
{ "line": 90, "column": 50 }
{ "line": 90, "column": 52 }
{ "line": 90, "column": 53 }
[ { "pp": "α : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : Lattice E\ninst✝² : HasSolidNorm E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\nf : α → E\nhfint : Integrable f μ\nh1 : μ[f | ...
[ "α : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : Lattice E\ninst✝² : HasSolidNorm E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\nf : α → E\nhfint : Integrable f μ\nh1 : μ[f | m] ≤ᵐ[μ] μ[f...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Function.ConditionalExpectation.Real
{ "line": 97, "column": 2 }
{ "line": 97, "column": 94 }
{ "line": 98, "column": 2 }
[ { "pp": "case pos\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : Lattice E\ninst✝² : HasSolidNorm E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\nf : α → E\nhm : m ≤ m0\nhsig : ¬Sigm...
[ "case neg\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : Lattice E\ninst✝² : HasSolidNorm E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\nf : α → E\nhm : m ≤ m0\nhsig : SigmaFinite (μ.tr...
· simpa [condExp_of_not_sigmaFinite hm hsig] using integral_nonneg (fun x => abs_nonneg f x)
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.Function.ConditionalExpectation.Real
{ "line": 121, "column": 2 }
{ "line": 121, "column": 94 }
{ "line": 122, "column": 2 }
[ { "pp": "case pos\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : Lattice E\ninst✝² : HasSolidNorm E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\ns : Set α\nhs : MeasurableSet s\nf :...
[ "case neg\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝⁶ : NormedAddCommGroup E\ninst✝⁵ : NormedSpace ℝ E\ninst✝⁴ : CompleteSpace E\ninst✝³ : Lattice E\ninst✝² : HasSolidNorm E\ninst✝¹ : IsOrderedAddMonoid E\ninst✝ : IsOrderedModule ℝ E\ns : Set α\nhs : MeasurableSet s\nf : α → E\nhm :...
· simpa [condExp_of_not_sigmaFinite hm hsig] using integral_nonneg (fun x => abs_nonneg f x)
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.Measure.HasOuterApproxClosed
{ "line": 264, "column": 4 }
{ "line": 264, "column": 27 }
{ "line": 265, "column": 2 }
[ { "pp": "case h_univ\nΩ : Type u_1\ninst✝⁴ : MeasurableSpace Ω\ninst✝³ : TopologicalSpace Ω\ninst✝² : HasOuterApproxClosed Ω\ninst✝¹ : BorelSpace Ω\nμ ν : Measure Ω\ninst✝ : IsFiniteMeasure μ\nh : ∀ (f : Ω →ᵇ ℝ≥0), ∫⁻ (x : Ω), ↑(f x) ∂μ = ∫⁻ (x : Ω), ↑(f x) ∂ν\nkey : ∀ {F : Set Ω}, IsClosed[inst✝³] F → μ F = ν ...
[]
exact key isClosed_univ
Lean.Elab.Tactic.evalExact
Lean.Parser.Tactic.exact
Mathlib.MeasureTheory.Measure.HasOuterApproxClosed
{ "line": 264, "column": 4 }
{ "line": 264, "column": 27 }
{ "line": 265, "column": 2 }
[ { "pp": "case h_univ\nΩ : Type u_1\ninst✝⁴ : MeasurableSpace Ω\ninst✝³ : TopologicalSpace Ω\ninst✝² : HasOuterApproxClosed Ω\ninst✝¹ : BorelSpace Ω\nμ ν : Measure Ω\ninst✝ : IsFiniteMeasure μ\nh : ∀ (f : Ω →ᵇ ℝ≥0), ∫⁻ (x : Ω), ↑(f x) ∂μ = ∫⁻ (x : Ω), ↑(f x) ∂ν\nkey : ∀ {F : Set Ω}, IsClosed[inst✝³] F → μ F = ν ...
[]
exact key isClosed_univ
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.MeasureTheory.Measure.HasOuterApproxClosed
{ "line": 264, "column": 4 }
{ "line": 264, "column": 27 }
{ "line": 265, "column": 2 }
[ { "pp": "case h_univ\nΩ : Type u_1\ninst✝⁴ : MeasurableSpace Ω\ninst✝³ : TopologicalSpace Ω\ninst✝² : HasOuterApproxClosed Ω\ninst✝¹ : BorelSpace Ω\nμ ν : Measure Ω\ninst✝ : IsFiniteMeasure μ\nh : ∀ (f : Ω →ᵇ ℝ≥0), ∫⁻ (x : Ω), ↑(f x) ∂μ = ∫⁻ (x : Ω), ↑(f x) ∂ν\nkey : ∀ {F : Set Ω}, IsClosed[inst✝³] F → μ F = ν ...
[]
exact key isClosed_univ
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.MeasureTheory.Measure.FiniteMeasure
{ "line": 320, "column": 2 }
{ "line": 320, "column": 44 }
{ "line": 321, "column": 2 }
[ { "pp": "Ω : Type u_1\ninst✝ : MeasurableSpace Ω\nι : Type u_3\nμ : FiniteMeasure Ω\nT : Finset ι\ns : ι → Set Ω\nhd : (↑T).Pairwise (Disjoint on s)\nhm : ∀ (i : ι), MeasurableSet (s i)\nt : Set Ω\nht : MeasurableSet t\n⊢ ((↑μ).restrict (⋃ i ∈ T, s i)) t = ∑ c ∈ T, ((↑μ).restrict (s c)) t", "ppTerm": "?m.46...
[ "Ω : Type u_1\ninst✝ : MeasurableSpace Ω\nι : Type u_3\nμ : FiniteMeasure Ω\nT : Finset ι\ns : ι → Set Ω\nhd : (↑T).Pairwise (Disjoint on s)\nhm : ∀ (i : ι), MeasurableSet (s i)\nt : Set Ω\nht : MeasurableSet t\n⊢ (Measure.sum fun i ↦ (↑μ).restrict (s ↑i)) t = ∑ c ∈ T, ((↑μ).restrict (s c)) t" ]
rw [Measure.restrict_biUnion_finset hd hm]
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_rwSeq_1
Lean.Parser.Tactic.rwSeq
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 702, "column": 31 }
{ "line": 702, "column": 33 }
{ "line": 703, "column": 4 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝² : NormedAddCommGroup β\np : ℝ≥0∞\nκ : Type u_4\nu : Filter κ\ninst✝¹ : u.NeBot\ninst✝ : u.IsCountablyGenerated\nfn : ι → α → β\nhUI : UnifIntegrable fn p μ\nhfn : ∀ (i : ι), AEStronglyMeasurable (fn i) μ\nε : ℝ\nhε :...
[ "α : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝² : NormedAddCommGroup β\np : ℝ≥0∞\nκ : Type u_4\nu : Filter κ\ninst✝¹ : u.NeBot\ninst✝ : u.IsCountablyGenerated\nfn : ι → α → β\nhUI : UnifIntegrable fn p μ\nhfn : ∀ (i : ι), AEStronglyMeasurable (fn i) μ\nε : ℝ\nhε : 0 < ε\nδ : ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Measure.FiniteMeasure
{ "line": 462, "column": 9 }
{ "line": 464, "column": 72 }
{ "line": 465, "column": 2 }
[]
[]
f ω _ ≤ g ω + nndist (f ω) (g ω) := NNReal.le_add_nndist (f ω) (g ω) _ ≤ g ω + nndist f g := (add_le_add_iff_left (g ω)).mpr (le_dist ω)
Lean.Elab.Tactic._aux_Mathlib_Tactic_Widget_Calc___elabRules_Lean_calcTactic_1
Lean.calcSteps
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 748, "column": 4 }
{ "line": 748, "column": 36 }
{ "line": 749, "column": 4 }
[ { "pp": "case pos\nα : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝¹ : NormedAddCommGroup β\np : ℝ≥0∞\nf : ι → α → β\ninst✝ : Finite ι\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nval✝ : Fintype ι\nhι : Nonempty ι\nh✝ : ∀ (i : ι), AEStronglyMeasurable (f i) μ\nhf : ∀ (i : ι), eLpNorm (f...
[ "case pos\nα : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝¹ : NormedAddCommGroup β\np : ℝ≥0∞\nf : ι → α → β\ninst✝ : Finite ι\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nval✝ : Fintype ι\nhι : Nonempty ι\nh✝ : ∀ (i : ι), AEStronglyMeasurable (f i) μ\nhf : ∀ (i : ι), eLpNorm (f i) p μ < ∞\...
refine ⟨C.toNNReal, fun i => ?_⟩
Lean.Elab.Tactic.evalRefine
Lean.Parser.Tactic.refine
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 753, "column": 6 }
{ "line": 753, "column": 30 }
{ "line": 754, "column": 6 }
[ { "pp": "case pos\nα : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝¹ : NormedAddCommGroup β\np : ℝ≥0∞\nf : ι → α → β\ninst✝ : Finite ι\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nval✝ : Fintype ι\nhι : Nonempty ι\nh✝ : ∀ (i : ι), AEStronglyMeasurable (f i) μ\nhf : ∀ (i : ι), eLpNorm (f...
[ "case pos\nα : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝¹ : NormedAddCommGroup β\np : ℝ≥0∞\nf : ι → α → β\ninst✝ : Finite ι\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nval✝ : Fintype ι\nhι : Nonempty ι\nh✝ : ∀ (i : ι), AEStronglyMeasurable (f i) μ\nhf : ∀ (i : ι), eLpNorm (f i) p μ < ∞\...
obtain ⟨i, -, rfl⟩ := hy
_private.Lean.Elab.Tactic.RCases.0.Lean.Elab.Tactic.RCases.evalObtain
Lean.Parser.Tactic.obtain
Mathlib.MeasureTheory.Function.UniformIntegrable
{ "line": 751, "column": 4 }
{ "line": 754, "column": 16 }
{ "line": 755, "column": 2 }
[ { "pp": "case pos\nα : Type u_1\nβ : Type u_2\nι : Type u_3\nm : MeasurableSpace α\nμ : Measure α\ninst✝¹ : NormedAddCommGroup β\np : ℝ≥0∞\nf : ι → α → β\ninst✝ : Finite ι\nhp_one : 1 ≤ p\nhp_top : p ≠ ∞\nval✝ : Fintype ι\nhι : Nonempty ι\nh✝ : ∀ (i : ι), AEStronglyMeasurable (f i) μ\nhf : ∀ (i : ι), eLpNorm (f...
[]
· refine ne_of_lt ((Finset.max'_lt_iff _ _).2 fun y hy => ?_) rw [Finset.mem_image] at hy obtain ⟨i, -, rfl⟩ := hy exact hf i
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.MeasureTheory.Function.ConditionalExpectation.Real
{ "line": 260, "column": 12 }
{ "line": 260, "column": 69 }
{ "line": 261, "column": 10 }
[ { "pp": "case pos\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝² : NormedAddCommGroup E\ninst✝¹ : NormedSpace ℝ E\ninst✝ : CompleteSpace E\nf : α → E\np : ℝ≥0∞\nhp : 1 ≤ p\nhf : MemLp f p μ\nh✝ : NeZero μ\nhp' : 0 < p\nhm : m ≤ m0\nhsig : SigmaFinite (μ.trim hm)\nhpt : p ≠ ∞\n⊢ lpN...
[ "case pos\nα : Type u_1\nm m0 : MeasurableSpace α\nμ : Measure α\nE : Type u_2\ninst✝² : NormedAddCommGroup E\ninst✝¹ : NormedSpace ℝ E\ninst✝ : CompleteSpace E\nf : α → E\np : ℝ≥0∞\nhp : 1 ≤ p\nhf : MemLp f p μ\nh✝ : NeZero μ\nhp' : 0 < p\nhm : m ≤ m0\nhsig : SigmaFinite (μ.trim hm)\nhpt : p ≠ ∞\n⊢ lpNorm μ[f | m]...
lpNorm_eq_integral_norm_rpow_toReal hp'.ne.symm hpt hf.1,
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.MeasureTheory.Measure.FiniteMeasure
{ "line": 739, "column": 2 }
{ "line": 743, "column": 15 }
{ "line": 744, "column": 2 }
[ { "pp": "Ω : Type u_1\ninst✝² : MeasurableSpace Ω\ninst✝¹ : TopologicalSpace Ω\ninst✝ : OpensMeasurableSpace Ω\nγ : Type u_2\nF : Filter γ\nμs : γ → FiniteMeasure Ω\nμ : FiniteMeasure Ω\nh : ∀ (f : Ω →ᵇ ℝ≥0), Tendsto (fun i ↦ ∫⁻ (x : Ω), ↑(f x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f x) ∂↑μ))\nf : Ω →ᵇ ℝ\nf_pos : Ω →ᵇ...
[ "Ω : Type u_1\ninst✝² : MeasurableSpace Ω\ninst✝¹ : TopologicalSpace Ω\ninst✝ : OpensMeasurableSpace Ω\nγ : Type u_2\nF : Filter γ\nμs : γ → FiniteMeasure Ω\nμ : FiniteMeasure Ω\nh : ∀ (f : Ω →ᵇ ℝ≥0), Tendsto (fun i ↦ ∫⁻ (x : Ω), ↑(f x) ∂↑(μs i)) F (𝓝 (∫⁻ (x : Ω), ↑(f x) ∂↑μ))\nf : Ω →ᵇ ℝ\nf_pos : Ω →ᵇ ℝ≥0 := f.nn...
have aux : ∀ g : Ω →ᵇ ℝ≥0, (ENNReal.toReal ∘ fun i : γ ↦ ∫⁻ x : Ω, ↑(g x) ∂(μs i : Measure Ω)) = fun i : γ ↦ (∫⁻ x : Ω, ↑(g x) ∂(μs i : Measure Ω)).toReal := fun _ ↦ rfl
Lean.Parser.Tactic._aux_Init_Tactics___macroRules_Lean_Parser_Tactic_tacticHave___1
Lean.Parser.Tactic.tacticHave__
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 138, "column": 34 }
{ "line": 138, "column": 36 }
{ "line": 138, "column": 37 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝² : Finset ι\na✝¹ : ι → Set Ω\na✝ : ∀ i ∈ a✝², a✝¹ i ∈ π i\nh' : ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ a✝², a✝¹ i) = ∏ i ∈ a✝², (κ a) (a✝¹ i)\na : α...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝² : Finset ι\na✝¹ : ι → Set Ω\na✝ : ∀ i ∈ a✝², a✝¹ i ∈ π i\nh' : ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ a✝², a✝¹ i) = ∏ i ∈ a✝², (κ a) (a✝¹ i)\na : α\nha : κ a =...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 138, "column": 34 }
{ "line": 138, "column": 36 }
{ "line": 138, "column": 37 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝² : Finset ι\na✝¹ : ι → Set Ω\na✝ : ∀ i ∈ a✝², a✝¹ i ∈ π i\nh' : ∀ᵐ (a : α) ∂μ, (η a) (⋂ i ∈ a✝², a✝¹ i) = ∏ i ∈ a✝², (η a) (a✝¹ i)\na : α...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝² : Finset ι\na✝¹ : ι → Set Ω\na✝ : ∀ i ∈ a✝², a✝¹ i ∈ π i\nh' : ∀ᵐ (a : α) ∂μ, (η a) (⋂ i ∈ a✝², a✝¹ i) = ∏ i ∈ a✝², (η a) (a✝¹ i)\na : α\nha : κ a =...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 146, "column": 34 }
{ "line": 146, "column": 36 }
{ "line": 146, "column": 37 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\ns1 s2 : Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝³ a✝² : Set Ω\na✝¹ : a✝³ ∈ s1\na✝ : a✝² ∈ s2\nh' : ∀ᵐ (a : α) ∂μ, (κ a) (a✝³ ∩ a✝²) = (κ a) a✝³ * (κ a) a✝²\na : α\n⊢ κ a = η a → (κ a) (a✝³ ∩ a✝²) = (κ...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\ns1 s2 : Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝³ a✝² : Set Ω\na✝¹ : a✝³ ∈ s1\na✝ : a✝² ∈ s2\nh' : ∀ᵐ (a : α) ∂μ, (κ a) (a✝³ ∩ a✝²) = (κ a) a✝³ * (κ a) a✝²\na : α\nha : κ a = η a\n⊢ (κ a) (a✝³ ∩ a✝²) = (κ a) a✝³ ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 146, "column": 34 }
{ "line": 146, "column": 36 }
{ "line": 146, "column": 37 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\ns1 s2 : Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝³ a✝² : Set Ω\na✝¹ : a✝³ ∈ s1\na✝ : a✝² ∈ s2\nh' : ∀ᵐ (a : α) ∂μ, (η a) (a✝³ ∩ a✝²) = (η a) a✝³ * (η a) a✝²\na : α\n⊢ κ a = η a → (η a) (a✝³ ∩ a✝²) = (η...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ η : Kernel α Ω\nμ : Measure α\ns1 s2 : Set (Set Ω)\nh : ⇑κ =ᵐ[μ] ⇑η\na✝³ a✝² : Set Ω\na✝¹ : a✝³ ∈ s1\na✝ : a✝² ∈ s2\nh' : ∀ᵐ (a : α) ∂μ, (η a) (a✝³ ∩ a✝²) = (η a) a✝³ * (η a) a✝²\na : α\nha : κ a = η a\n⊢ (η a) (a✝³ ∩ a✝²) = (η a) a✝³ ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 178, "column": 77 }
{ "line": 178, "column": 79 }
{ "line": 179, "column": 2 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nh : iIndepSets π κ μ\na : α\n⊢ (κ a) (⋂ i ∈ ∅, univ) = ∏ i ∈ ∅, (κ a) univ → IsProbabilityMeasure (κ a)", "ppTerm": "?m.47", "assigned": true, "use...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nh : iIndepSets π κ μ\na : α\nha : (κ a) (⋂ i ∈ ∅, univ) = ∏ i ∈ ∅, (κ a) univ\n⊢ IsProbabilityMeasure (κ a)" ]
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 183, "column": 71 }
{ "line": 183, "column": 73 }
{ "line": 183, "column": 74 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\ns : ι → Set Ω\ninst✝ : Fintype ι\nh : iIndepSets π κ μ\nhs : ∀ (i : ι), s i ∈ π i\na : α\n⊢ (κ a) (⋂ i ∈ Finset.univ, s i) = ∏ i, (κ a) (s i) → (κ a) (⋂ i, s i...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\ns : ι → Set Ω\ninst✝ : Fintype ι\nh : iIndepSets π κ μ\nhs : ∀ (i : ι), s i ∈ π i\na : α\nha : (κ a) (⋂ i ∈ Finset.univ, s i) = ∏ i, (κ a) (s i)\n⊢ (κ a) (⋂ i, s i) = ∏ i,...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 197, "column": 78 }
{ "line": 197, "column": 80 }
{ "line": 198, "column": 2 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\nm : ι → MeasurableSpace Ω\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ns : ι → Set Ω\ninst✝ : Fintype ι\nh : iIndep m κ μ\nhs : ∀ (i : ι), MeasurableSet (s i)\na : α\n⊢ (κ a) (⋂ i ∈ Finset.univ, s i) = ∏ i, (κ a) (s i) → (κ ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\nm : ι → MeasurableSpace Ω\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ns : ι → Set Ω\ninst✝ : Fintype ι\nh : iIndep m κ μ\nhs : ∀ (i : ι), MeasurableSet (s i)\na : α\nha : (κ a) (⋂ i ∈ Finset.univ, s i) = ∏ i, (κ a) (s i)\n⊢ (κ a) (⋂ i,...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 221, "column": 48 }
{ "line": 221, "column": 50 }
{ "line": 222, "column": 2 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nι' : Type u_5\ng : ι' → ι\nhg : Function.Injective g\nh : iIndepSets π κ μ\ns : Finset ι'\nf : ι' → Set Ω\nhf : ∀ i ∈ s, f i ∈ (π ∘ g) i\nf' : ι → Set Ω := Fun...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\nι' : Type u_5\ng : ι' → ι\nhg : Function.Injective g\nh : iIndepSets π κ μ\ns : Finset ι'\nf : ι' → Set Ω\nhf : ∀ i ∈ s, f i ∈ (π ∘ g) i\nf' : ι → Set Ω := Function.extend...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Measure.FiniteMeasure
{ "line": 1010, "column": 6 }
{ "line": 1010, "column": 71 }
{ "line": 1011, "column": 6 }
[ { "pp": "case hf\nΩ' : Type u_2\ninst✝⁶ : MeasurableSpace Ω'\ninst✝⁵ : TopologicalSpace Ω'\ninst✝⁴ : BorelSpace Ω'\nΩ : Type u_3\ninst✝³ : MeasurableSpace Ω\ninst✝² : TopologicalSpace Ω\ninst✝¹ : BorelSpace Ω\ninst✝ : NormalSpace Ω'\nf : Ω → Ω'\nhf : IsClosedEmbedding f\nM : Set (FiniteMeasure Ω') := {μ | μ (ra...
[ "case hs\nΩ' : Type u_2\ninst✝⁶ : MeasurableSpace Ω'\ninst✝⁵ : TopologicalSpace Ω'\ninst✝⁴ : BorelSpace Ω'\nΩ : Type u_3\ninst✝³ : MeasurableSpace Ω\ninst✝² : TopologicalSpace Ω\ninst✝¹ : BorelSpace Ω\ninst✝ : NormalSpace Ω'\nf : Ω → Ω'\nhf : IsClosedEmbedding f\nM : Set (FiniteMeasure Ω') := {μ | μ (range f)ᶜ = 0}...
· exact fun t ht ↦ hf.measurableEmbedding.measurableSet_image' ht
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 269, "column": 42 }
{ "line": 269, "column": 44 }
{ "line": 270, "column": 2 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ns₁ s₂ : Set (Set Ω)\nh : IndepSets s₁ s₂ κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ s₂\nht2 : t2 ∈ s₁\na : α\n⊢ (κ a) (t2 ∩ t1) = (κ a) t2 * (κ a) t1 → (κ a) (t1 ∩ t2) = (κ a) t1 * (κ a) t2", "ppTerm": ...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ns₁ s₂ : Set (Set Ω)\nh : IndepSets s₁ s₂ κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ s₂\nht2 : t2 ∈ s₁\na : α\nha : (κ a) (t2 ∩ t1) = (κ a) t2 * (κ a) t1\n⊢ (κ a) (t1 ∩ t2) = (κ a) t1 * (κ a) t2" ]
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.MeasureTheory.Measure.FiniteMeasure
{ "line": 1020, "column": 6 }
{ "line": 1020, "column": 71 }
{ "line": 1021, "column": 6 }
[ { "pp": "case hf\nΩ' : Type u_2\ninst✝⁶ : MeasurableSpace Ω'\ninst✝⁵ : TopologicalSpace Ω'\ninst✝⁴ : BorelSpace Ω'\nΩ : Type u_3\ninst✝³ : MeasurableSpace Ω\ninst✝² : TopologicalSpace Ω\ninst✝¹ : BorelSpace Ω\ninst✝ : NormalSpace Ω'\nf : Ω → Ω'\nhf : IsClosedEmbedding f\nM : Set (FiniteMeasure Ω') := {μ | μ (ra...
[ "case hs\nΩ' : Type u_2\ninst✝⁶ : MeasurableSpace Ω'\ninst✝⁵ : TopologicalSpace Ω'\ninst✝⁴ : BorelSpace Ω'\nΩ : Type u_3\ninst✝³ : MeasurableSpace Ω\ninst✝² : TopologicalSpace Ω\ninst✝¹ : BorelSpace Ω\ninst✝ : NormalSpace Ω'\nf : Ω → Ω'\nhf : IsClosedEmbedding f\nM : Set (FiniteMeasure Ω') := {μ | μ (range f)ᶜ = 0}...
· exact fun t ht ↦ hf.measurableEmbedding.measurableSet_image' ht
Lean.Elab.Tactic.evalTacticCDot
Lean.cdot
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 175, "column": 43 }
{ "line": 175, "column": 45 }
{ "line": 175, "column": 46 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nmβ : (i : ι) → MeasurableSpace (β i)\nf g : (i : ι) → Ω → β i\nhf :\n ∀ (S : Finset ι) {sets : (i : ι) → Set (β i)},\n (∀ i ∈ S, MeasurableSet (sets i)) → ∀ᵐ (a...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nmβ : (i : ι) → MeasurableSpace (β i)\nf g : (i : ι) → Ω → β i\nhf :\n ∀ (S : Finset ι) {sets : (i : ι) → Set (β i)},\n (∀ i ∈ S, MeasurableSet (sets i)) → ∀ᵐ (a : α) ∂μ, (κ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 397, "column": 30 }
{ "line": 397, "column": 32 }
{ "line": 398, "column": 2 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\ns : ι → Set Ω\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nh : ∀ (S : Finset ι), ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ S, s i) = ∏ i ∈ S, (κ a) (s i)\nS : Finset ι\nf : ι → Set Ω\nhf : ∀ i ∈ S, f i ∈ (fun i ↦ {s i}) i\na : α\n⊢ (κ a) ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\ns : ι → Set Ω\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nh : ∀ (S : Finset ι), ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ S, s i) = ∏ i ∈ S, (κ a) (s i)\nS : Finset ι\nf : ι → Set Ω\nhf : ∀ i ∈ S, f i ∈ (fun i ↦ {s i}) i\na : α\nha : (κ a) (⋂ i ∈ S,...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 484, "column": 2 }
{ "line": 484, "column": 17 }
{ "line": 484, "column": 18 }
[ { "pp": "case inr.basic\nα : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm₂ m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh2 : m₂ ≤ m\nhp2 : IsPiSystem p2\nhpm2 : m₂ = generateFrom p2\nhyp : IndepSets p1 p2 κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ p1\nht1m...
[]
| basic u hu =>
_private.Lean.Elab.Tactic.Induction.0.Lean.Elab.Tactic.evalInduction
null
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 486, "column": 32 }
{ "line": 486, "column": 34 }
{ "line": 487, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm₂ m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh2 : m₂ ≤ m\nhp2 : IsPiSystem p2\nhpm2 : m₂ = generateFrom p2\nhyp : IndepSets p1 p2 κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ p1\nht1m : MeasurableSet...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm₂ m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh2 : m₂ ≤ m\nhp2 : IsPiSystem p2\nhpm2 : m₂ = generateFrom p2\nhyp : IndepSets p1 p2 κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ p1\nht1m : MeasurableSet t1\nh : IsM...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 195, "column": 32 }
{ "line": 195, "column": 34 }
{ "line": 195, "column": 35 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nmβ : (i : ι) → MeasurableSpace (β i)\nf g : (i : ι) → Ω → β i\nh : ∀ (i : ι), ∀ᵐ (a : α) ∂μ, f i =ᵐ[κ a] g i\nh' : iIndepFun g κ μ\ni : ι\na : α\n⊢ f i =ᵐ[κ a] g i ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nmβ : (i : ι) → MeasurableSpace (β i)\nf g : (i : ι) → Ω → β i\nh : ∀ (i : ι), ∀ᵐ (a : α) ∂μ, f i =ᵐ[κ a] g i\nh' : iIndepFun g κ μ\ni : ι\na : α\nha : f i =ᵐ[κ a] g i\n⊢ g i =ᵐ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 204, "column": 31 }
{ "line": 204, "column": 33 }
{ "line": 205, "column": 2 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nγ : ι → Type u_9\nmβ : (i : ι) → MeasurableSpace (β i)\nmγ : (i : ι) → MeasurableSpace (γ i)\nf : (i : ι) → Ω → β i\nh :\n ∀ (S : Finset ι) {sets : (i : ι) → Set (...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nγ : ι → Type u_9\nmβ : (i : ι) → MeasurableSpace (β i)\nmγ : (i : ι) → MeasurableSpace (γ i)\nf : (i : ι) → Ω → β i\nh :\n ∀ (S : Finset ι) {sets : (i : ι) → Set (β i)},\n ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 493, "column": 32 }
{ "line": 493, "column": 34 }
{ "line": 494, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm₂ m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh2 : m₂ ≤ m\nhp2 : IsPiSystem p2\nhpm2 : m₂ = generateFrom p2\nhyp : IndepSets p1 p2 κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ p1\nht1m : MeasurableSet...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm₂ m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh2 : m₂ ≤ m\nhp2 : IsPiSystem p2\nhpm2 : m₂ = generateFrom p2\nhyp : IndepSets p1 p2 κ μ\nt1 t2 : Set Ω\nht1 : t1 ∈ p1\nht1m : MeasurableSet t1\nh : IsM...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 516, "column": 32 }
{ "line": 516, "column": 34 }
{ "line": 517, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm1 m2 m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh1 : m1 ≤ m\nh2 : m2 ≤ m\nhp1 : IsPiSystem p1\nhp2 : IsPiSystem p2\nhpm1 : m1 = generateFrom p1\nhpm2 : m2 = generateFrom p2\nhyp : Indep...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm1 m2 m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh1 : m1 ≤ m\nh2 : m2 ≤ m\nhp1 : IsPiSystem p1\nhp2 : IsPiSystem p2\nhpm1 : m1 = generateFrom p1\nhpm2 : m2 = generateFrom p2\nhyp : IndepSets p1 p2 κ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 526, "column": 30 }
{ "line": 526, "column": 32 }
{ "line": 527, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm1 m2 m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh1 : m1 ≤ m\nh2 : m2 ≤ m\nhp1 : IsPiSystem p1\nhp2 : IsPiSystem p2\nhpm1 : m1 = generateFrom p1\nhpm2 : m2 = generateFrom p2\nhyp : Indep...
[ "α : Type u_1\nΩ : Type u_2\n_mα : MeasurableSpace α\nm1 m2 m : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ninst✝ : IsZeroOrMarkovKernel κ\np1 p2 : Set (Set Ω)\nh1 : m1 ≤ m\nh2 : m2 ≤ m\nhp1 : IsPiSystem p1\nhp2 : IsPiSystem p2\nhpm1 : m1 = generateFrom p1\nhpm2 : m2 = generateFrom p2\nhyp : IndepSets p1 p2 κ...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 571, "column": 42 }
{ "line": 571, "column": 44 }
{ "line": 572, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ns : ι → Set (Set Ω)\nS T : Set ι\nh_indep : iIndepSets s κ μ\nhST : Disjoint S T\nt1 t2 : Set Ω\np1 : Finset ι\nhp1 : ↑p1 ⊆ S\nf1 : ι → Set Ω\nht1_m : ∀ x ∈ p1, f1 x ∈ s x\nht1_eq ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\ns : ι → Set (Set Ω)\nS T : Set ι\nh_indep : iIndepSets s κ μ\nhST : Disjoint S T\nt1 t2 : Set Ω\np1 : Finset ι\nhp1 : ↑p1 ⊆ S\nf1 : ι → Set Ω\nht1_m : ∀ x ∈ p1, f1 x ∈ s x\nht1_eq : t1 = ⋂ x ∈...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Basic
{ "line": 1083, "column": 6 }
{ "line": 1083, "column": 54 }
{ "line": 1084, "column": 4 }
[ { "pp": "ι : Type u_6\nΩ : Type u_7\nα : Type u_8\nβ : Type u_9\nmΩ : MeasurableSpace Ω\nmα : MeasurableSpace α\nmβ : MeasurableSpace β\nμ : Measure Ω\nX : ι → Ω → α\nY : ι → Ω → β\nf : ι → Set Ω\nt : ι → Set β\ns : Finset ι\ninst✝ : Finite ι\nhY : ∀ (i : ι), Measurable (Y i)\nhindep : iIndepFun (fun i ω ↦ (X i...
[]
exact fun _ _ i _ _ ↦ .inr <| measure_ne_top _ _
Lean.Elab.Tactic.evalExact
Lean.Parser.Tactic.exact
Mathlib.Probability.Independence.Kernel.Indep
{ "line": 706, "column": 8 }
{ "line": 706, "column": 22 }
{ "line": 706, "column": 23 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\na : ι\nS : Finset ι\nhp_ind : iIndepSets π κ μ\nhaS : a ∉ S\nt1 t2 : Set Ω\ns : Finset ι\nhs_mem : s ⊆ S\nft1 : ι → Set Ω\nhft1_mem : ∀ x ∈ s, ft1 x ∈ π x\nht1...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\n_mα : MeasurableSpace α\n_mΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nπ : ι → Set (Set Ω)\na : ι\nS : Finset ι\nhp_ind : iIndepSets π κ μ\nhaS : a ∉ S\nt1 t2 : Set Ω\ns : Finset ι\nhs_mem : s ⊆ S\nft1 : ι → Set Ω\nhft1_mem : ∀ x ∈ s, ft1 x ∈ π x\nht1_eq : t1 = ⋂...
h_t1_inter_t2,
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.Probability.Independence.Integration
{ "line": 171, "column": 53 }
{ "line": 173, "column": 53 }
{ "line": 174, "column": 2 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_5\nF : Type u_6\nG : Type u_7\ninst✝⁹ : TopologicalSpace E\ninst✝⁸ : ContinuousENorm E\ninst✝⁷ : MeasurableSpace E\ninst✝⁶ : OpensMeasurableSpace E\ninst✝⁵ : TopologicalSpace F\ninst✝⁴ : ContinuousENorm F\ninst✝³ : MeasurableSpace F\ninst✝...
[]
by rw [lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun'' hX.1.enorm hY.1.enorm (hXY.comp measurable_enorm measurable_enorm)]
[anonymous]
Lean.Parser.Term.byTactic
Mathlib.Probability.Moments.Covariance
{ "line": 153, "column": 53 }
{ "line": 154, "column": 56 }
{ "line": 156, "column": 0 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nX Y : Ω → ℝ\nμ : Measure Ω\nc : ℝ\n⊢ cov[X, fun ω ↦ Y ω / c; μ] = cov[X, Y; μ] / c", "ppTerm": "?m.16", "assigned": true, "usedConstants": [ "Eq.mpr", "Real", "MeasureTheory.Measure", "instHDiv", "HMul.hMul", "Divisio...
[]
by simp_rw [← inv_mul_eq_div, covariance_const_mul_right]
[anonymous]
Lean.Parser.Term.byTactic
Mathlib.Probability.Moments.Covariance
{ "line": 160, "column": 30 }
{ "line": 160, "column": 50 }
{ "line": 160, "column": 50 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nX Y : Ω → ℝ\nμ : Measure Ω\n⊢ cov[-1 • X, Y; μ] = -cov[X, Y; μ]", "ppTerm": "?m.43", "assigned": true, "usedConstants": [ "Eq.mpr", "Real", "instHSMul", "instSMulOfMul", "HMul.hMul", "congrArg", "ProbabilityTheo...
[ "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nX Y : Ω → ℝ\nμ : Measure Ω\n⊢ -1 * cov[X, Y; μ] = -cov[X, Y; μ]" ]
covariance_smul_left
Lean.Elab.Tactic.evalRewriteSeq
null
Mathlib.Probability.Moments.Variance
{ "line": 318, "column": 2 }
{ "line": 323, "column": 57 }
{ "line": 325, "column": 0 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nX : Ω → ℝ\nΩ' : Type u_3\nmΩ' : MeasurableSpace Ω'\nμ : Measure Ω'\nY : Ω' → Ω\nhX : AEMeasurable X (Measure.map Y μ)\nhY : AEMeasurable Y μ\n⊢ Var[X; Measure.map Y μ] = Var[X ∘ Y; μ]", "ppTerm": "?m.27", "assigned": true, "usedConstants": [ "Prob...
[]
rw [variance_eq_integral hX, integral_map hY, variance_eq_integral (hX.comp_aemeasurable hY), integral_map hY] · congr · exact hX.aestronglyMeasurable · refine AEStronglyMeasurable.pow ?_ _ exact AEMeasurable.aestronglyMeasurable (by fun_prop)
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.Probability.Moments.Variance
{ "line": 318, "column": 2 }
{ "line": 323, "column": 57 }
{ "line": 325, "column": 0 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nX : Ω → ℝ\nΩ' : Type u_3\nmΩ' : MeasurableSpace Ω'\nμ : Measure Ω'\nY : Ω' → Ω\nhX : AEMeasurable X (Measure.map Y μ)\nhY : AEMeasurable Y μ\n⊢ Var[X; Measure.map Y μ] = Var[X ∘ Y; μ]", "ppTerm": "?m.27", "assigned": true, "usedConstants": [ "Prob...
[]
rw [variance_eq_integral hX, integral_map hY, variance_eq_integral (hX.comp_aemeasurable hY), integral_map hY] · congr · exact hX.aestronglyMeasurable · refine AEStronglyMeasurable.pow ?_ _ exact AEMeasurable.aestronglyMeasurable (by fun_prop)
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.Probability.Moments.Covariance
{ "line": 291, "column": 2 }
{ "line": 292, "column": 16 }
{ "line": 294, "column": 0 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nμ : Measure Ω\nι : Type u_2\nX : ι → Ω → ℝ\ns : Finset ι\ninst✝ : IsFiniteMeasure μ\nι' : Type u_3\nY : ι' → Ω → ℝ\nt : Finset ι'\nhX : ∀ i ∈ s, MemLp (X i) 2 μ\nhY : ∀ i ∈ t, MemLp (Y i) 2 μ\n⊢ cov[fun ω ↦ ∑ i ∈ s, X i ω, fun ω ↦ ∑ j ∈ t, Y j ω; μ] = ∑ i ∈ s, ∑ j ...
[]
convert! covariance_sum_sum' hX hY all_goals simp
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.Probability.Moments.Covariance
{ "line": 291, "column": 2 }
{ "line": 292, "column": 16 }
{ "line": 294, "column": 0 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nμ : Measure Ω\nι : Type u_2\nX : ι → Ω → ℝ\ns : Finset ι\ninst✝ : IsFiniteMeasure μ\nι' : Type u_3\nY : ι' → Ω → ℝ\nt : Finset ι'\nhX : ∀ i ∈ s, MemLp (X i) 2 μ\nhY : ∀ i ∈ t, MemLp (Y i) 2 μ\n⊢ cov[fun ω ↦ ∑ i ∈ s, X i ω, fun ω ↦ ∑ j ∈ t, Y j ω; μ] = ∑ i ∈ s, ∑ j ...
[]
convert! covariance_sum_sum' hX hY all_goals simp
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.Probability.Independence.Integration
{ "line": 355, "column": 51 }
{ "line": 355, "column": 71 }
{ "line": 355, "column": 71 }
[ { "pp": "Ω : Type u_1\nmΩ : MeasurableSpace Ω\nμ : Measure Ω\nE : Type u_5\nF : Type u_6\ninst✝¹⁰ : TopologicalSpace E\ninst✝⁹ : ContinuousENorm E\ninst✝⁸ : MeasurableSpace E\ninst✝⁷ : OpensMeasurableSpace E\ninst✝⁶ : TopologicalSpace F\ninst✝⁵ : ContinuousENorm F\ninst✝⁴ : MeasurableSpace F\ninst✝³ : OpensMeas...
[]
by simp [enorm_smul]
[anonymous]
Lean.Parser.Term.byTactic
Mathlib.Probability.IdentDistrib
{ "line": 231, "column": 2 }
{ "line": 231, "column": 22 }
{ "line": 233, "column": 0 }
[ { "pp": "α : Type u_1\nβ : Type u_2\nγ : Type u_3\ninst✝⁴ : MeasurableSpace α\ninst✝³ : MeasurableSpace β\ninst✝² : MeasurableSpace γ\nμ : Measure α\nν : Measure β\nf : α → γ\ng : β → γ\ninst✝¹ : NormedAddCommGroup γ\ninst✝ : BorelSpace γ\nh : IdentDistrib f g μ ν\nhf : MemLp f 1 μ\n⊢ MemLp g 1 ν", "ppTerm"...
[]
exact h.memLp_snd hf
Lean.Elab.Tactic.evalExact
Lean.Parser.Tactic.exact
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 427, "column": 33 }
{ "line": 427, "column": 35 }
{ "line": 428, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nS T : Finset ι\nhST : Disjoint S T\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nS T : Finset ι\nhST : Disjoint S T\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\nh...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 434, "column": 33 }
{ "line": 434, "column": 35 }
{ "line": 435, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nS T : Finset ι\nhST : Disjoint S T\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nS T : Finset ι\nhST : Disjoint S T\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\nh...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 476, "column": 4 }
{ "line": 479, "column": 21 }
{ "line": 480, "column": 2 }
[ { "pp": "case refine_1\nα : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\ni j k : ι\...
[]
filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk, Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj filter_upwards [hi, hj] with ω hωi hωj rw [← hωi, ← hωj]
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 476, "column": 4 }
{ "line": 479, "column": 21 }
{ "line": 480, "column": 2 }
[ { "pp": "case refine_1\nα : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\ni j k : ι\...
[]
filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk, Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj filter_upwards [hi, hj] with ω hωi hωj rw [← hωi, ← hωj]
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 503, "column": 4 }
{ "line": 506, "column": 21 }
{ "line": 507, "column": 2 }
[ { "pp": "case refine_1\nα : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nhf_indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\ni j k l : ...
[]
filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk, Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj filter_upwards [hi, hj] with ω hωi hωj rw [← hωi, ← hωj]
Lean.Elab.Tactic.evalTacticSeq1Indented
Lean.Parser.Tactic.tacticSeq1Indented
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 503, "column": 4 }
{ "line": 506, "column": 21 }
{ "line": 507, "column": 2 }
[ { "pp": "case refine_1\nα : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : ι → Type u_8\nm : (i : ι) → MeasurableSpace (β i)\nf : (i : ι) → Ω → β i\nhf_indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\ni j k l : ...
[]
filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk, Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj filter_upwards [hi, hj] with ω hωi hωj rw [← hωi, ← hωj]
Lean.Elab.Tactic.evalTacticSeq
Lean.Parser.Tactic.tacticSeq
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 653, "column": 33 }
{ "line": 653, "column": 35 }
{ "line": 654, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : Type u_8\nm : MeasurableSpace β\ninst✝¹ : CommMonoid β\ninst✝ : MeasurableMul₂ β\nf : ι → Ω → β\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\ns ...
[ "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nβ : Type u_8\nm : MeasurableSpace β\ninst✝¹ : CommMonoid β\ninst✝ : MeasurableMul₂ β\nf : ι → Ω → β\nhf_Indep : iIndepFun f κ μ\nhf_meas : ∀ (i : ι), AEMeasurable (f i) (⇑κ ∘ₘ μ)\ns : Finset ι\n...
ha
Lean.Elab.Tactic.evalIntro
ident
Mathlib.Probability.Independence.Kernel.IndepFun
{ "line": 741, "column": 6 }
{ "line": 741, "column": 54 }
{ "line": 742, "column": 4 }
[ { "pp": "α : Type u_1\nΩ : Type u_2\nι : Type u_3\nβ : Type u_4\nmα : MeasurableSpace α\nmΩ : MeasurableSpace Ω\nκ : Kernel α Ω\nμ : Measure α\nmβ : MeasurableSpace β\nX : ι → Ω → α\nY : ι → Ω → β\nf : ι → Set Ω\nt : ι → Set β\ns : Finset ι\ninst✝ : Finite ι\nhY : ∀ (i : ι), Measurable (Y i)\nhindep : iIndepFun...
[]
exact fun _ _ i _ _ ↦ .inr <| measure_ne_top _ _
Lean.Elab.Tactic.evalExact
Lean.Parser.Tactic.exact
Mathlib.MeasureTheory.Function.SpecialFunctions.Sinc
{ "line": 37, "column": 25 }
{ "line": 40, "column": 25 }
{ "line": 42, "column": 0 }
[ { "pp": "μ : Measure ℝ\ninst✝ : IsFiniteMeasure μ\n⊢ Integrable sinc μ", "ppTerm": "?m.10", "assigned": true, "usedConstants": [ "Norm.norm", "Real.abs_sinc_le_one", "Eq.mpr", "Real.instLE", "Real", "MeasureTheory.Measure", "Real.lattice", "abs", ...
[]
by refine Integrable.mono' (g := fun _ ↦ 1) (by fun_prop) (by fun_prop) <| ae_of_all _ fun x ↦ ?_ rw [Real.norm_eq_abs] exact abs_sinc_le_one x
[anonymous]
Lean.Parser.Term.byTactic