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Theorems · Theorem · probability

ProbabilityTheory.HasGaussianLaw.memLp

∀ {Ω : Type u_1} {E : Type u_2} {mΩ : MeasurableSpace Ω} {P : MeasureTheory.Measure Ω} [inst : NormedAddCommGroup E]
  [inst_1 : MeasurableSpace E] [BorelSpace E] {X : Ω → E} [inst_3 : NormedSpace ℝ E] [CompleteSpace E]
  [SecondCountableTopology E], ProbabilityTheory.HasGaussianLaw X P → ∀ {p : ENNReal}, p ≠ ⊤ → MeasureTheory.MemLp X p P

A Gaussian random variable has moments of all orders.

Defined in
Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Basic
Cited by
2 results in Mathlib
Foundations
Depth 311 from the axioms · uses propext, Classical.choice, Quot.sound
Assumes
NormedAddCommGroupMeasurableSpaceBorelSpaceNormedSpaceCompleteSpaceSecondCountableTopology

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