Showing convergence in probability of martingale with bounded increments

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I am reading a paper which uses the following and I am struggling to show it. We let $M_n$ be a martingale with bounded increments, wrt the natural filtration $\mathcal{F}_n$. Suppose $M_0=0$. Let $Y_n=M_n-M_{n-1}$. Let $V_n^2=\sum\limits_{j=1}^n \mathbb{E}[Y_j^2 \mid \mathcal{F}_{j-1}]$ and $s_n^2=\mathbb{E}[M_n^2]$. I can't seem to show that $\frac{V_n^2}{s_n^2}\to 1$ in probability as $n\to\infty$. Could anyone please help? thanks