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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

1 vote
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A note on Doob's theorem

It is true. Here is an elementary proof, without relying on the martingale convergence theorem. Let us first consider the case when $f:[0,1]\to \mathbb{R}$ is continuous. If $I\subseteq [0,1]$ is an i …
pietro siorpaes's user avatar
1 vote

Quadratic variation and predictable quadratic variation for martingales

It is true that $\langle M\rangle^n_1 \to \langle M\rangle_1$ in $L^1$ when $M$ is a continuous square-integrable martingale. Indeed, $M^2$ is then a submartingale of class D and so, since $$E[(M_{t_ …
pietro siorpaes's user avatar
4 votes
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Examples of a continuous martingale with $E[\sup\limits_{0\leq s\leq t} |M_s|]=\infty$?

There exist indeed a uniformly integrable martingale $X$ such that $\sup_{t} |X_t|$ is not integrable. Here a list of several examples: A simple example in discrete time can be found here http://www …
pietro siorpaes's user avatar