I have a question about local martingale. I am reading Karatzas and Shreve's Brownian Motion and Stochastic Calculus(Second Edition). On page 146, it wrote ($M$ is a local continuous martingale $M_{0}=0$ a.s. $P$ )
" For $X \in \mathcal{P}^{\ast}$,one construct... \begin{eqnarray*} R_{n}(\omega)=n \wedge \inf \{0 \leq t<\infty \,; \int_{0}^{t}X_{s}^{2}(\omega)d \left< M\right>_{s}(\omega) \geq n \} \end{eqnarray*} This is also a nondecreasing sequence and because of (2.31), $\lim_{n \to \infty}R_{n}=\infty$ a.s. $P$"
(2.31) : $P\left[\int_{0}^{T}X_{t}^{2}d \left<M\right>_{t} <\infty \right]=1 $ for every $T\in [0,\infty)$
$\mathcal{P}^{\ast}$ is the collection of equivalence classes of all progressively measurable processes satisfying the condition (2.31).
I see "$R_{n} $ is a nondecreasing sequence", but I can't understand "$\lim_{n \to \infty} R_{n}= \infty$ a.s. $P$".
I think that it is sufficient to prove for all $\omega \in \cap_{N=1}^{\infty}A_{N}, A_{N}:=\{\int_{0}^{N}X_{t}^{2}d \left<M\right>_{t}< \infty\}$ , $R_{n}(\omega)\to \infty$.
I'm never certain about the use of (2.31). How do you use (2.31)?