B1.13

Probability and Measure
Part II, 2001

State and prove Hölder's Inequality.

[Jensen's inequality, and other standard results, may be assumed.]

Let (Xn)\left(X_{n}\right) be a sequence of random variables bounded in LpL_{p} for some p>1p>1. Prove that (Xn)\left(X_{n}\right) is uniformly integrable.

Suppose that XLp(Ω,F,P)X \in L_{p}(\Omega, \mathcal{F}, \mathbb{P}) for some probability space (Ω,F,P)(\Omega, \mathcal{F}, \mathbb{P}) and some p(1,)p \in(1, \infty). Show that XLr(Ω,F,P)X \in L_{r}(\Omega, \mathcal{F}, \mathbb{P}) for all 1r<p1 \leqslant r<p and that Xr\|X\|_{r} is an increasing function of rr on [1,p][1, p].

Show further that limr1+Xr=X1\lim _{r \rightarrow 1^{+}}\|X\|_{r}=\|X\|_{1}.