Paper 4, Section II, J

Probability and Measure | Part II, 2015

(a) State Fatou's lemma.

(b) Let XX be a random variable on Rd\mathbb{R}^{d} and let (Xk)k=1\left(X_{k}\right)_{k=1}^{\infty} be a sequence of random variables on Rd\mathbb{R}^{d}. What does it mean to say that XkXX_{k} \rightarrow X weakly?

State and prove the Central Limit Theorem for i.i.d. real-valued random variables. [You may use auxiliary theorems proved in the course provided these are clearly stated.]

(c) Let XX be a real-valued random variable with characteristic function φ\varphi. Let (hn)n=1\left(h_{n}\right)_{n=1}^{\infty} be a sequence of real numbers with hn0h_{n} \neq 0 and hn0h_{n} \rightarrow 0. Prove that if we have

lim infn2φ(0)φ(hn)φ(hn)hn2<\liminf _{n \rightarrow \infty} \frac{2 \varphi(0)-\varphi\left(-h_{n}\right)-\varphi\left(h_{n}\right)}{h_{n}^{2}}<\infty

then E[X2]<\mathbb{E}\left[X^{2}\right]<\infty

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