Paper 3, Section II, J

Probability and Measure | Part II, 2017

(a) Suppose that X=(Xn)\mathcal{X}=\left(X_{n}\right) is a sequence of random variables on a probability space (Ω,F,P)(\Omega, \mathcal{F}, \mathbb{P}). Give the definition of what it means for X\mathcal{X} to be uniformly integrable.

(b) State and prove Hölder's inequality.

(c) Explain what it means for a family of random variables to be LpL^{p} bounded. Prove that an LpL^{p} bounded sequence is uniformly integrable provided p>1p>1.

(d) Prove or disprove: every sequence which is L1L^{1} bounded is uniformly integrable.

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