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3 votes
1 answer
889 views

Weak convergence: equivalence of definitions

Consider a sequence of random variables $(X_n)_{n\geq 0}$ and a random variable $X$. How to prove that the two following definitions of weak convergence are equivalent? Def 1 $(X_n)_{n\geq 0} \...
QuantumLogarithm's user avatar
2 votes
1 answer
330 views

Weak convergence using characteristic functions

This problem is from Billingsley's "Probability and measure" book. Let $a_n \to a$, $b_n \to b$ and $\{X_n\}$,$X$ be a sequence of random variables such that $X_n \to^w X$ (weak convergence). Prove ...
Gautam Shenoy's user avatar
15 votes
1 answer
5k views

Uniform convergence and weak convergence

Assume $F_{n},F$ are distribution functions of r.v.$X_{n}$ and $X$, $F_{n}$ weakly converge to $F$. If $F$ is pointwise continuous in the interval $[a,b]\subset\mathbb{R}$, show that $$\sup_{x\in[a,b]}...
Jacky Zhang's user avatar
1 vote
1 answer
408 views

Product of a sequence tending to 0 and a sequence of random variables converging in distribution

Let $X_n$ be a sequence of random variables and suppose $X_n \rightarrow X$ in distribution. Let $a_n$ be a sequence of constants with $a_n \rightarrow 0$. Must $a_n X_n \rightarrow 0$ almost surely? ...
user15464's user avatar
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