Partitioning an interval #
Averaging #
theorem
MeasureTheory.AEStronglyMeasurable.ennreal_toReal
{α : Type u_1}
{m : MeasurableSpace α}
{μ : Measure α}
{u : α → ENNReal}
(hu : AEStronglyMeasurable u μ)
:
AEStronglyMeasurable (fun (x : α) => (u x).toReal) μ
theorem
MeasureTheory.eLpNormEssSup_lt_top_of_ae_ennnorm_bound
{α : Type u_1}
{m : MeasurableSpace α}
{μ : Measure α}
{F : Type u_2}
[NormedAddCommGroup F]
{f : α → F}
{C : ENNReal}
(hfC : ∀ᵐ (x : α) ∂μ, ↑‖f x‖₊ ≤ C)
:
theorem
MeasureTheory.restrict_absolutelyContinuous
{α : Type u_1}
{m : MeasurableSpace α}
{μ : Measure α}
{s : Set α}
:
(μ.restrict s).AbsolutelyContinuous μ
An equivalence relation on the set s
.
- refl (x : α) : x ∈ s → r x x
An equivalence relation is reflexive:
x ~ x
An equivalence relation is symmetric:
x ~ y
impliesy ~ x
An equivalence relation is transitive:
x ~ y
andy ~ z
impliesx ~ z
Instances For
def
EquivalenceOn.setoid
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
(hr : EquivalenceOn r s)
:
Setoid ↑s
The setoid defined from an equivalence relation on a set.
Instances For
theorem
EquivalenceOn.exists_rep
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
(x : α)
:
theorem
EquivalenceOn.out_mem
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
{x : α}
(hx : x ∈ s)
:
@[simp]
theorem
EquivalenceOn.out_mem_iff
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
{x : α}
:
theorem
EquivalenceOn.out_rel
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
{x : α}
(hx : x ∈ s)
:
r (hr.out x) x
theorem
EquivalenceOn.rel_out
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
{x : α}
(hx : x ∈ s)
:
r x (hr.out x)
theorem
EquivalenceOn.out_mem_reprs
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
{x : α}
(hx : x ∈ s)
:
theorem
EquivalenceOn.reprs_subset
{α : Type u_1}
{r : α → α → Prop}
{s : Set α}
{hr : EquivalenceOn r s}
:
theorem
Set.Finite.biSup_eq
{α : Type u_1}
{ι : Type u_2}
[CompleteLinearOrder α]
{s : Set ι}
(hs : s.Finite)
(hs' : s.Nonempty)
(f : ι → α)
:
∃ i ∈ s, ⨆ j ∈ s, f j = f i
theorem
Set.indicator_eq_indicator_one_mul
{ι : Type u_1}
{M : Type u_2}
[MulZeroOneClass M]
(s : Set ι)
(f : ι → M)
(x : ι)
:
theorem
Set.conj_indicator
{α : Type u_1}
{𝕜 : Type u_2}
[RCLike 𝕜]
{f : α → 𝕜}
(s : Set α)
(x : α)
:
theorem
norm_indicator_one_le
{α : Type u_1}
{E : Type u_2}
[SeminormedAddCommGroup E]
[One E]
[NormOneClass E]
{s : Set α}
(x : α)
:
theorem
MeasureTheory.HasCompactSupport.of_support_subset_closedBall
{X : Type u_2}
{α : Type u_3}
[Zero α]
{f : X → α}
[PseudoMetricSpace X]
[ProperSpace X]
{x : X}
{r : ℝ}
(hf : Function.support f ⊆ Metric.closedBall x r)
:
theorem
MeasureTheory.HasCompactSupport.of_support_subset_isBounded
{X : Type u_2}
{α : Type u_3}
[Zero α]
{f : X → α}
[PseudoMetricSpace X]
[ProperSpace X]
{s : Set X}
(hs : Bornology.IsBounded s)
(hf : Function.support f ⊆ s)
:
theorem
MeasureTheory.Integrable.indicator_const
{X : Type u_2}
[MeasureSpace X]
{c : ℝ}
{s : Set X}
(hs : MeasurableSet s)
(h2s : volume s < ⊤)
:
Integrable (s.indicator fun (x : X) => c) volume
theorem
MeasureTheory.setIntegral_biUnion_le_sum_setIntegral
{X : Type u_4}
{ι : Type u_5}
[MeasurableSpace X]
{f : X → ℝ}
(s : Finset ι)
{S : ι → Set X}
{μ : Measure X}
(f_ae_nonneg : ∀ᵐ (x : X) ∂μ.restrict (⋃ i ∈ s, S i), 0 ≤ f x)
(int_f : IntegrableOn f (⋃ i ∈ s, S i) μ)
:
theorem
MeasureTheory.average_smul_const
{X : Type u_4}
{E : Type u_5}
[MeasurableSpace X]
{μ : Measure X}
[NormedAddCommGroup E]
[NormedSpace ℝ E]
{𝕜 : Type u_6}
[RCLike 𝕜]
[NormedSpace 𝕜 E]
[CompleteSpace E]
(f : X → 𝕜)
(c : E)
: