Documentation

Mathlib.MeasureTheory.VectorMeasure.Basic

Vector-valued measures #

This file defines vector-valued measures, which are σ-additive functions from a set to an additive monoid M such that it maps the empty set and non-measurable sets to zero. In the case that M = ℝ, we called the vector measure a signed measure and write SignedMeasure α. Similarly, when M = ℂ, we call the measure a complex measure and write ComplexMeasure α (defined in MeasureTheory/Measure/Complex).

Main definitions #

Notation #

Implementation notes #

We require all non-measurable sets to be mapped to zero in order for the extensionality lemma to only compare the underlying functions for measurable sets.

We use HasSum instead of tsum in the definition of vector measures in comparison to Measure since this provides summability.

Tags #

vector measure, signed measure, complex measure

structure MeasureTheory.VectorMeasure (α : Type u_3) [MeasurableSpace α] (M : Type u_4) [AddCommMonoid M] [TopologicalSpace M] :
Type (max u_3 u_4)

A vector measure on a measurable space α is a σ-additive M-valued function (for some M an additive monoid) such that the empty set and non-measurable sets are mapped to zero.

  • measureOf' : Set αM

    The measure of sets

  • empty' : self = 0

    The empty set has measure zero

  • not_measurable' i : Set α : ¬MeasurableSet iself i = 0

    Non-measurable sets have measure zero

  • m_iUnion' f : Set α : (∀ (i : ), MeasurableSet (f i))Pairwise (Function.onFun Disjoint f)HasSum (fun (i : ) => self (f i)) (self (⋃ (i : ), f i))

    The measure is σ-additive

Instances For
    @[reducible, inline]

    A SignedMeasure is an -vector measure.

    Instances For
      @[implicit_reducible]
      instance MeasureTheory.VectorMeasure.instCoeFun {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] :
      CoeFun (VectorMeasure α M) fun (x : VectorMeasure α M) => Set αM
      @[simp]
      theorem MeasureTheory.VectorMeasure.empty {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) :
      v = 0
      theorem MeasureTheory.VectorMeasure.not_measurable {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {i : Set α} (hi : ¬MeasurableSet i) :
      v i = 0
      theorem MeasureTheory.VectorMeasure.m_iUnion {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {f : Set α} (hf₁ : ∀ (i : ), MeasurableSet (f i)) (hf₂ : Pairwise (Function.onFun Disjoint f)) :
      HasSum (fun (i : ) => v (f i)) (v (⋃ (i : ), f i))
      theorem MeasureTheory.VectorMeasure.ext_iff' {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v w : VectorMeasure α M) :
      v = w ∀ (i : Set α), v i = w i
      theorem MeasureTheory.VectorMeasure.ext_iff {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v w : VectorMeasure α M) :
      v = w ∀ (i : Set α), MeasurableSet iv i = w i
      theorem MeasureTheory.VectorMeasure.ext {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {s t : VectorMeasure α M} (h : ∀ (i : Set α), MeasurableSet is i = t i) :
      s = t
      theorem MeasureTheory.VectorMeasure.hasSum_of_disjoint_iUnion {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [Countable β] {v : VectorMeasure α M} {f : βSet α} (hm : ∀ (i : β), MeasurableSet (f i)) (hd : Pairwise (Function.onFun Disjoint f)) :
      HasSum (fun (i : β) => v (f i)) (v (⋃ (i : β), f i))
      theorem MeasureTheory.VectorMeasure.of_disjoint_iUnion {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [Countable β] {v : VectorMeasure α M} {f : βSet α} [T2Space M] (hm : ∀ (i : β), MeasurableSet (f i)) (hd : Pairwise (Function.onFun Disjoint f)) :
      v (⋃ (i : β), f i) = ∑' (i : β), v (f i)
      theorem MeasureTheory.VectorMeasure.of_union {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {v : VectorMeasure α M} [T2Space M] {A B : Set α} (h : Disjoint A B) (hA : MeasurableSet A) (hB : MeasurableSet B) :
      v (A B) = v A + v B
      theorem MeasureTheory.VectorMeasure.of_add_of_diff {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {v : VectorMeasure α M} [T2Space M] {A B : Set α} (hA : MeasurableSet A) (hB : MeasurableSet B) (h : A B) :
      v A + v (B \ A) = v B
      theorem MeasureTheory.VectorMeasure.of_diff {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} [AddCommGroup M] [TopologicalSpace M] [T2Space M] {v : VectorMeasure α M} {A B : Set α} (hA : MeasurableSet A) (hB : MeasurableSet B) (h : A B) :
      v (B \ A) = v B - v A
      theorem MeasureTheory.VectorMeasure.of_compl {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} [AddCommGroup M] [TopologicalSpace M] [T2Space M] {v : VectorMeasure α M} {A : Set α} (hA : MeasurableSet A) :
      v A = v Set.univ - v A
      theorem MeasureTheory.VectorMeasure.of_diff_of_diff_eq_zero {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {v : VectorMeasure α M} [T2Space M] {A B : Set α} (hA : MeasurableSet A) (hB : MeasurableSet B) (h' : v (B \ A) = 0) :
      v (A \ B) + v B = v A
      theorem MeasureTheory.VectorMeasure.of_iUnion_nonneg {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} [Countable β] {f : βSet α} {M : Type u_4} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] [IsOrderedAddMonoid M] [OrderClosedTopology M] {v : VectorMeasure α M} (hf₁ : ∀ (i : β), MeasurableSet (f i)) (hf₂ : Pairwise (Function.onFun Disjoint f)) (hf₃ : ∀ (i : β), 0 v (f i)) :
      0 v (⋃ (i : β), f i)
      theorem MeasureTheory.VectorMeasure.of_iUnion_nonpos {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} [Countable β] {f : βSet α} {M : Type u_4} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] [IsOrderedAddMonoid M] [OrderClosedTopology M] {v : VectorMeasure α M} (hf₁ : ∀ (i : β), MeasurableSet (f i)) (hf₂ : Pairwise (Function.onFun Disjoint f)) (hf₃ : ∀ (i : β), v (f i) 0) :
      v (⋃ (i : β), f i) 0
      theorem MeasureTheory.VectorMeasure.of_nonneg_disjoint_union_eq_zero {α : Type u_1} {m : MeasurableSpace α} {s : SignedMeasure α} {A B : Set α} (h : Disjoint A B) (hA₁ : MeasurableSet A) (hB₁ : MeasurableSet B) (hA₂ : 0 s A) (hB₂ : 0 s B) (hAB : s (A B) = 0) :
      s A = 0
      theorem MeasureTheory.VectorMeasure.of_nonpos_disjoint_union_eq_zero {α : Type u_1} {m : MeasurableSpace α} {s : SignedMeasure α} {A B : Set α} (h : Disjoint A B) (hA₁ : MeasurableSet A) (hB₁ : MeasurableSet B) (hA₂ : s A 0) (hB₂ : s B 0) (hAB : s (A B) = 0) :
      s A = 0
      theorem MeasureTheory.VectorMeasure.of_biUnion_finset {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {v : VectorMeasure α M} [T2Space M] {ι : Type u_4} {s : Finset ι} {f : ιSet α} (hd : (↑s).PairwiseDisjoint f) (hm : bs, MeasurableSet (f b)) :
      v (⋃ bs, f b) = ps, v (f p)
      theorem MeasureTheory.VectorMeasure.tendsto_vectorMeasure_iUnion_atTop_nat {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {v : VectorMeasure α M} [T2Space M] {s : Set α} (hm : Monotone s) (hs : ∀ (i : ), MeasurableSet (s i)) :
      Filter.Tendsto (fun (n : ) => v (s n)) Filter.atTop (nhds (v (⋃ (n : ), s n)))
      theorem MeasureTheory.VectorMeasure.tendsto_vectorMeasure_iInter_atTop_nat {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} [AddCommGroup M] [TopologicalSpace M] [T2Space M] [ContinuousSub M] {v : VectorMeasure α M} {s : Set α} (hm : Antitone s) (hs : ∀ (i : ), MeasurableSet (s i)) :
      Filter.Tendsto (fun (n : ) => v (s n)) Filter.atTop (nhds (v (⋂ (n : ), s n)))

      Given a scalar r and a vector measure v, smul r v is the vector measure corresponding to the set function s : Set α => r • (v s).

      Instances For
        @[implicit_reducible]
        @[simp]
        theorem MeasureTheory.VectorMeasure.coe_smul {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [DistribMulAction R M] [ContinuousConstSMul R M] (r : R) (v : VectorMeasure α M) :
        (r v) = r v
        theorem MeasureTheory.VectorMeasure.smul_apply {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [DistribMulAction R M] [ContinuousConstSMul R M] (r : R) (v : VectorMeasure α M) (i : Set α) :
        (r v) i = r v i
        @[implicit_reducible]
        @[implicit_reducible]
        instance MeasureTheory.VectorMeasure.instInhabited {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] :
        Inhabited (VectorMeasure α M)
        theorem MeasureTheory.VectorMeasure.zero_apply {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (i : Set α) :
        0 i = 0

        The sum of two vector measure is a vector measure.

        Instances For
          @[implicit_reducible]
          @[simp]
          theorem MeasureTheory.VectorMeasure.coe_add {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (v w : VectorMeasure α M) :
          (v + w) = v + w
          theorem MeasureTheory.VectorMeasure.add_apply {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (v w : VectorMeasure α M) (i : Set α) :
          (v + w) i = v i + w i
          @[simp]
          theorem MeasureTheory.VectorMeasure.coeFnAddMonoidHom_apply {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (self : VectorMeasure α M) (a✝ : Set α) :
          coeFnAddMonoidHom self a✝ = self a✝

          The negative of a vector measure is a vector measure.

          Instances For
            @[implicit_reducible]
            theorem MeasureTheory.VectorMeasure.neg_apply {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommGroup M] [TopologicalSpace M] [IsTopologicalAddGroup M] (v : VectorMeasure α M) (i : Set α) :
            ↑(-v) i = -v i

            The difference of two vector measure is a vector measure.

            Instances For
              @[implicit_reducible]
              @[simp]
              theorem MeasureTheory.VectorMeasure.coe_sub {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommGroup M] [TopologicalSpace M] [IsTopologicalAddGroup M] (v w : VectorMeasure α M) :
              (v - w) = v - w
              theorem MeasureTheory.VectorMeasure.sub_apply {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommGroup M] [TopologicalSpace M] [IsTopologicalAddGroup M] (v w : VectorMeasure α M) (i : Set α) :
              (v - w) i = v i - w i
              @[implicit_reducible]
              noncomputable def MeasureTheory.VectorMeasure.dirac {β : Type u_2} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [MeasurableSpace β] (x : β) (v : M) :

              The Dirac vector measure with mass v at a point x. It gives mass v to measurable sets containing x, and 0 otherwise.

              Instances For
                @[simp]
                theorem MeasureTheory.VectorMeasure.dirac_apply_of_mem {β : Type u_2} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [MeasurableSpace β] {x : β} {v : M} {s : Set β} (hs : MeasurableSet s) (hx : x s) :
                (dirac x v) s = v
                @[simp]
                theorem MeasureTheory.VectorMeasure.dirac_apply_of_notMem {β : Type u_2} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [MeasurableSpace β] {x : β} {v : M} {s : Set β} (hx : xs) :
                (dirac x v) s = 0
                noncomputable def MeasureTheory.Measure.toSignedMeasure {α : Type u_1} {m : MeasurableSpace α} (μ : Measure α) [ : IsFiniteMeasure μ] :

                A finite measure coerced into a real function is a signed measure.

                Instances For
                  @[simp]
                  theorem MeasureTheory.Measure.toSignedMeasure_apply {α : Type u_1} {m : MeasurableSpace α} (μ : Measure α) [ : IsFiniteMeasure μ] (s : Set α) :
                  μ.toSignedMeasure s = if MeasurableSet s then μ.real s else 0

                  A measure is a vector measure over ℝ≥0∞.

                  Instances For
                    @[simp]
                    theorem MeasureTheory.Measure.toENNRealVectorMeasure_apply {α : Type u_1} {m : MeasurableSpace α} (μ : Measure α) (i : Set α) :
                    μ.toENNRealVectorMeasure i = if MeasurableSet i then μ i else 0

                    A vector measure over ℝ≥0∞ is a measure.

                    Instances For
                      noncomputable def MeasureTheory.VectorMeasure.map {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) (f : αβ) :

                      The pushforward of a vector measure along a function.

                      Instances For
                        theorem MeasureTheory.VectorMeasure.map_not_measurable {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {f : αβ} (hf : ¬Measurable f) :
                        v.map f = 0
                        theorem MeasureTheory.VectorMeasure.map_apply {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {f : αβ} (hf : Measurable f) {s : Set β} (hs : MeasurableSet s) :
                        (v.map f) s = v (f ⁻¹' s)
                        @[simp]
                        theorem MeasureTheory.VectorMeasure.map_zero {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (f : αβ) :
                        map 0 f = 0

                        Given a vector measure v on M and a continuous AddMonoidHom f : M → N, f ∘ v is a vector measure on N.

                        Instances For
                          @[simp]
                          theorem MeasureTheory.VectorMeasure.mapRange_apply {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {N : Type u_4} [AddCommMonoid N] [TopologicalSpace N] {f : M →+ N} (hf : Continuous f) {s : Set α} :
                          (v.mapRange f hf) s = f (v s)
                          @[simp]
                          theorem MeasureTheory.VectorMeasure.mapRange_zero {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {N : Type u_4} [AddCommMonoid N] [TopologicalSpace N] {f : M →+ N} (hf : Continuous f) :
                          mapRange 0 f hf = 0
                          @[simp]
                          theorem MeasureTheory.VectorMeasure.mapRange_add {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {N : Type u_4} [AddCommMonoid N] [TopologicalSpace N] [ContinuousAdd M] [ContinuousAdd N] {v w : VectorMeasure α M} {f : M →+ N} (hf : Continuous f) :
                          (v + w).mapRange f hf = v.mapRange f hf + w.mapRange f hf

                          Given a continuous AddMonoidHom f : M → N, mapRangeHom is the AddMonoidHom mapping the vector measure v on M to the vector measure f ∘ v on N.

                          Instances For

                            Given a continuous linear map f : M → N, mapRangeₗ is the linear map mapping the vector measure v on M to the vector measure f ∘ v on N.

                            Instances For
                              noncomputable def MeasureTheory.VectorMeasure.restrict {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) (i : Set α) :

                              The restriction of a vector measure on some set.

                              Instances For
                                theorem MeasureTheory.VectorMeasure.restrict_apply {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {i : Set α} (hi : MeasurableSet i) {j : Set α} (hj : MeasurableSet j) :
                                (v.restrict i) j = v (j i)
                                theorem MeasureTheory.VectorMeasure.restrict_eq_self {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] (v : VectorMeasure α M) {i : Set α} (hi : MeasurableSet i) {j : Set α} (hj : MeasurableSet j) (hij : j i) :
                                (v.restrict i) j = v j
                                theorem MeasureTheory.VectorMeasure.map_add {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (v w : VectorMeasure α M) (f : αβ) :
                                (v + w).map f = v.map f + w.map f
                                noncomputable def MeasureTheory.VectorMeasure.mapGm {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (f : αβ) :

                                VectorMeasure.map as an additive monoid homomorphism.

                                Instances For
                                  @[simp]
                                  theorem MeasureTheory.VectorMeasure.mapGm_apply {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (f : αβ) (v : VectorMeasure α M) :
                                  (mapGm f) v = v.map f
                                  @[simp]
                                  theorem MeasureTheory.VectorMeasure.restrict_add {α : Type u_1} [MeasurableSpace α] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] [ContinuousAdd M] (v w : VectorMeasure α M) (i : Set α) :
                                  (v + w).restrict i = v.restrict i + w.restrict i

                                  VectorMeasure.restrict as an additive monoid homomorphism.

                                  Instances For
                                    @[simp]
                                    theorem MeasureTheory.VectorMeasure.map_smul {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [DistribMulAction R M] [ContinuousConstSMul R M] {v : VectorMeasure α M} {f : αβ} (c : R) :
                                    (c v).map f = c v.map f
                                    @[simp]
                                    theorem MeasureTheory.VectorMeasure.restrict_smul {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [DistribMulAction R M] [ContinuousConstSMul R M] {v : VectorMeasure α M} {i : Set α} (c : R) :
                                    (c v).restrict i = c v.restrict i
                                    noncomputable def MeasureTheory.VectorMeasure.mapₗ {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [Module R M] [ContinuousConstSMul R M] [ContinuousAdd M] (f : αβ) :

                                    VectorMeasure.map as a linear map.

                                    Instances For
                                      @[simp]
                                      theorem MeasureTheory.VectorMeasure.mapₗ_apply {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} [MeasurableSpace β] {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [Module R M] [ContinuousConstSMul R M] [ContinuousAdd M] (f : αβ) (v : VectorMeasure α M) :
                                      (mapₗ f) v = v.map f
                                      noncomputable def MeasureTheory.VectorMeasure.restrictₗ {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [AddCommMonoid M] [TopologicalSpace M] {R : Type u_4} [Semiring R] [Module R M] [ContinuousConstSMul R M] [ContinuousAdd M] (i : Set α) :

                                      VectorMeasure.restrict as an additive monoid homomorphism.

                                      Instances For
                                        @[implicit_reducible]

                                        Vector measures over a partially ordered monoid is partially ordered.

                                        This definition is consistent with Measure.instPartialOrder.

                                        theorem MeasureTheory.VectorMeasure.le_iff {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] {v w : VectorMeasure α M} :
                                        v w ∀ (i : Set α), MeasurableSet iv i w i
                                        theorem MeasureTheory.VectorMeasure.le_iff' {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] {v w : VectorMeasure α M} :
                                        v w ∀ (i : Set α), v i w i
                                        def MeasureTheory.«term_≤[_]_» :
                                        Lean.TrailingParserDescr

                                        v ≤[i] w is notation for v.restrict i ≤ w.restrict i.

                                        Instances For
                                          theorem MeasureTheory.VectorMeasure.restrict_le_restrict_iff {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] (v w : VectorMeasure α M) {i : Set α} (hi : MeasurableSet i) :
                                          v.restrict i w.restrict i ∀ ⦃j : Set α⦄, MeasurableSet jj iv j w j
                                          theorem MeasureTheory.VectorMeasure.subset_le_of_restrict_le_restrict {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] (v w : VectorMeasure α M) {i : Set α} (hi : MeasurableSet i) (hi₂ : v.restrict i w.restrict i) {j : Set α} (hj : j i) :
                                          v j w j
                                          theorem MeasureTheory.VectorMeasure.restrict_le_restrict_of_subset_le {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] (v w : VectorMeasure α M) {i : Set α} (h : ∀ ⦃j : Set α⦄, MeasurableSet jj iv j w j) :
                                          theorem MeasureTheory.VectorMeasure.restrict_le_restrict_subset {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] (v w : VectorMeasure α M) {i j : Set α} (hi₁ : MeasurableSet i) (hi₂ : v.restrict i w.restrict i) (hij : j i) :
                                          theorem MeasureTheory.VectorMeasure.restrict_le_restrict_iUnion {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] [IsOrderedAddMonoid M] [OrderClosedTopology M] (v w : VectorMeasure α M) {f : Set α} (hf₁ : ∀ (n : ), MeasurableSet (f n)) (hf₂ : ∀ (n : ), v.restrict (f n) w.restrict (f n)) :
                                          v.restrict (⋃ (n : ), f n) w.restrict (⋃ (n : ), f n)
                                          theorem MeasureTheory.VectorMeasure.restrict_le_restrict_countable_iUnion {α : Type u_1} {β : Type u_2} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] [IsOrderedAddMonoid M] [OrderClosedTopology M] (v w : VectorMeasure α M) [Countable β] {f : βSet α} (hf₁ : ∀ (b : β), MeasurableSet (f b)) (hf₂ : ∀ (b : β), v.restrict (f b) w.restrict (f b)) :
                                          v.restrict (⋃ (b : β), f b) w.restrict (⋃ (b : β), f b)
                                          theorem MeasureTheory.VectorMeasure.restrict_le_restrict_union {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] [IsOrderedAddMonoid M] [OrderClosedTopology M] (v w : VectorMeasure α M) {i j : Set α} (hi₁ : MeasurableSet i) (hi₂ : v.restrict i w.restrict i) (hj₁ : MeasurableSet j) (hj₂ : v.restrict j w.restrict j) :
                                          v.restrict (i j) w.restrict (i j)
                                          theorem MeasureTheory.VectorMeasure.zero_le_restrict_subset {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] (v : VectorMeasure α M) {i j : Set α} (hi₁ : MeasurableSet i) (hij : j i) (hi₂ : restrict 0 i v.restrict i) :
                                          theorem MeasureTheory.VectorMeasure.restrict_le_zero_subset {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M] (v : VectorMeasure α M) {i j : Set α} (hi₁ : MeasurableSet i) (hij : j i) (hi₂ : v.restrict i restrict 0 i) :
                                          theorem MeasureTheory.VectorMeasure.exists_pos_measure_of_not_restrict_le_zero {α : Type u_1} {m : MeasurableSpace α} {M : Type u_3} [TopologicalSpace M] [AddCommMonoid M] [LinearOrder M] (v : VectorMeasure α M) {i : Set α} (hi : ¬v.restrict i restrict 0 i) :
                                          ∃ (j : Set α), MeasurableSet j j i 0 < v j

                                          A vector measure v is absolutely continuous with respect to a measure μ if for all sets s, μ s = 0, we have v s = 0.

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                                            def MeasureTheory.«term_≪ᵥ_» :
                                            Lean.TrailingParserDescr

                                            A vector measure v is absolutely continuous with respect to a measure μ if for all sets s, μ s = 0, we have v s = 0.

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                                              theorem MeasureTheory.VectorMeasure.AbsolutelyContinuous.mk {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} {N : Type u_5} [AddCommMonoid M] [TopologicalSpace M] [AddCommMonoid N] [TopologicalSpace N] {v : VectorMeasure α M} {w : VectorMeasure α N} (h : ∀ ⦃s : Set α⦄, MeasurableSet sw s = 0v s = 0) :

                                              Two vector measures v and w are said to be mutually singular if there exists a measurable set s, such that for all t ⊆ s, v t = 0 and for all t ⊆ sᶜ, w t = 0.

                                              We note that we do not require the measurability of t in the definition since this makes it easier to use. This is equivalent to the definition which requires measurability. To prove MutuallySingular with the measurability condition, use MeasureTheory.VectorMeasure.MutuallySingular.mk.

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                                                def MeasureTheory.«term_⟂ᵥ_» :
                                                Lean.TrailingParserDescr

                                                Two vector measures v and w are said to be mutually singular if there exists a measurable set s, such that for all t ⊆ s, v t = 0 and for all t ⊆ sᶜ, w t = 0.

                                                We note that we do not require the measurability of t in the definition since this makes it easier to use. This is equivalent to the definition which requires measurability. To prove MutuallySingular with the measurability condition, use MeasureTheory.VectorMeasure.MutuallySingular.mk.

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                                                  theorem MeasureTheory.VectorMeasure.MutuallySingular.mk {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} {N : Type u_5} [AddCommMonoid M] [TopologicalSpace M] [AddCommMonoid N] [TopologicalSpace N] {v : VectorMeasure α M} {w : VectorMeasure α N} (s : Set α) (hs : MeasurableSet s) (h₁ : ts, MeasurableSet tv t = 0) (h₂ : ts, MeasurableSet tw t = 0) :
                                                  theorem MeasureTheory.VectorMeasure.MutuallySingular.add_left {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} {N : Type u_5} [AddCommMonoid M] [TopologicalSpace M] [AddCommMonoid N] [TopologicalSpace N] {v₁ v₂ : VectorMeasure α M} {w : VectorMeasure α N} [T2Space N] [ContinuousAdd M] (h₁ : v₁.MutuallySingular w) (h₂ : v₂.MutuallySingular w) :
                                                  (v₁ + v₂).MutuallySingular w
                                                  theorem MeasureTheory.VectorMeasure.MutuallySingular.add_right {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} {N : Type u_5} [AddCommMonoid M] [TopologicalSpace M] [AddCommMonoid N] [TopologicalSpace N] {v : VectorMeasure α M} {w₁ w₂ : VectorMeasure α N} [T2Space M] [ContinuousAdd N] (h₁ : v.MutuallySingular w₁) (h₂ : v.MutuallySingular w₂) :
                                                  v.MutuallySingular (w₁ + w₂)
                                                  noncomputable def MeasureTheory.VectorMeasure.trim {α : Type u_1} {M : Type u_4} [AddCommMonoid M] [TopologicalSpace M] {m n : MeasurableSpace α} (v : VectorMeasure α M) (hle : m n) :

                                                  Restriction of a vector measure onto a sub-σ-algebra.

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                                                    @[simp]
                                                    theorem MeasureTheory.VectorMeasure.trim_apply {α : Type u_1} {M : Type u_4} [AddCommMonoid M] [TopologicalSpace M] {m n : MeasurableSpace α} (v : VectorMeasure α M) (hle : m n) (i : Set α) :
                                                    (v.trim hle) i = if MeasurableSet i then v i else 0
                                                    @[simp]
                                                    theorem MeasureTheory.VectorMeasure.zero_trim {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} [AddCommMonoid M] [TopologicalSpace M] {n : MeasurableSpace α} (hle : m n) :
                                                    trim 0 hle = 0
                                                    theorem MeasureTheory.VectorMeasure.trim_measurableSet_eq {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} [AddCommMonoid M] [TopologicalSpace M] {n : MeasurableSpace α} {v : VectorMeasure α M} (hle : m n) {i : Set α} (hi : MeasurableSet i) :
                                                    (v.trim hle) i = v i
                                                    theorem MeasureTheory.VectorMeasure.restrict_trim {α : Type u_1} {m : MeasurableSpace α} {M : Type u_4} [AddCommMonoid M] [TopologicalSpace M] {n : MeasurableSpace α} {v : VectorMeasure α M} (hle : m n) {i : Set α} (hi : MeasurableSet i) :
                                                    (v.trim hle).restrict i = (v.restrict i).trim hle

                                                    The underlying function for SignedMeasure.toMeasureOfZeroLE.

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                                                      noncomputable def MeasureTheory.SignedMeasure.toMeasureOfZeroLE {α : Type u_1} {m : MeasurableSpace α} (s : SignedMeasure α) (i : Set α) (hi₁ : MeasurableSet i) (hi₂ : VectorMeasure.restrict 0 i VectorMeasure.restrict s i) :

                                                      Given a signed measure s and a positive measurable set i, toMeasureOfZeroLE provides the measure, mapping measurable sets j to s (i ∩ j).

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                                                        theorem MeasureTheory.SignedMeasure.toMeasureOfZeroLE_apply {α : Type u_1} {m : MeasurableSpace α} (s : SignedMeasure α) {i j : Set α} (hi : VectorMeasure.restrict 0 i VectorMeasure.restrict s i) (hi₁ : MeasurableSet i) (hj₁ : MeasurableSet j) :
                                                        (s.toMeasureOfZeroLE i hi₁ hi) j = s (i j),
                                                        noncomputable def MeasureTheory.SignedMeasure.toMeasureOfLEZero {α : Type u_1} {m : MeasurableSpace α} (s : SignedMeasure α) (i : Set α) (hi₁ : MeasurableSet i) (hi₂ : VectorMeasure.restrict s i VectorMeasure.restrict 0 i) :

                                                        Given a signed measure s and a negative measurable set i, toMeasureOfLEZero provides the measure, mapping measurable sets j to -s (i ∩ j).

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                                                          theorem MeasureTheory.SignedMeasure.toMeasureOfLEZero_apply {α : Type u_1} {m : MeasurableSpace α} (s : SignedMeasure α) {i j : Set α} (hi : VectorMeasure.restrict s i VectorMeasure.restrict 0 i) (hi₁ : MeasurableSet i) (hj₁ : MeasurableSet j) :
                                                          (s.toMeasureOfLEZero i hi₁ hi) j = -s (i j),