Documentation

LeanMachineLearning.ForMathlib.MeasureTheory.Measurable

Measurability lemmas #

theorem MeasureTheory.measurable_comp_comap {α : Type u_1} {β : Type u_2} {γ : Type u_3} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} (f : α → β) {g : β → γ} (hg : Measurable g) :
theorem MeasureTheory.Measurable.coe_nat_enat {α : Type u_1} {mα : MeasurableSpace α} {f : α → ℕ} (hf : Measurable f) :
Measurable fun (a : α) => ↑(f a)
theorem MeasureTheory.Measurable.toNat {α : Type u_1} {mα : MeasurableSpace α} {f : α → ℕ∞} (hf : Measurable f) :
Measurable fun (a : α) => (f a).toNat
theorem MeasureTheory.measurable_sum_range_of_le {α : Type u_1} {mα : MeasurableSpace α} {f : ℕ → α → ℝ} {g : α → ℕ} {n : ℕ} (hg_le : ∀ (a : α), g a ≤ n) (hf : ∀ (i : ℕ), Measurable (f i)) (hg : Measurable g) :
Measurable fun (a : α) => ∑ i ∈ Finset.range (g a), f i a
theorem MeasureTheory.measurable_sum_Icc_of_le {α : Type u_1} {mα : MeasurableSpace α} {f : ℕ → α → ℝ} {g : α → ℕ} {n : ℕ} (hg_le : ∀ (a : α), g a ≤ n) (hf : ∀ (i : ℕ), Measurable (f i)) (hg : Measurable g) :
Measurable fun (a : α) => ∑ i ∈ Finset.Icc 1 (g a), f i a