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I have this integral equation where I need to find the limit $T\to 0$

\begin{equation} \lim_{T\to 0} \frac{\int_0^T E(\sigma_s^2)(T-s)^\alpha ds}{T} \end{equation}

where $1/2<\alpha<1$ and $E(\sigma_s^2)\to \sigma_0^2$ when $s\to 0$. Can anyone give me some direction to solve this limit function. L' Hopital's rule doesn't appear to be working... Although I can't evaluate the integral, I do "roughly" expect the answer to be something like \begin{alignat*}{2} \lim_{T\to 0} \frac{\int_0^T E(\sigma_s^2)(T-s)^\alpha ds}{T} &= \lim_{T\to 0} E(\sigma_0^2) \frac{\int_0^T(T-s)^\alpha ds}{T} \\ &=\lim_{T \to 0} \frac{\sigma_0^2}{\alpha+1}T^\alpha \end{alignat*} I am not sure if the above solution even makes sense. Can anyone guide me on this?

Crushh
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1 Answers1

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Not a full solution, but I think there could be typos in the question. For the case when the upper limit on the integral is some $n \to \infty$, and the rv is a function of $s$ and $T$:

You have convergence in the expectation, $\mathbf{E} [X_T] \to_T \mathbf{E}X_0$, which implies Dominated Convergence (applies to continuous rvs rather than sequence too), you have: $$ \lim_{T \to 0} \int_{0}^{n}\mathbf{E}\sigma^2_{s, T}ds = \int_{0}^{n}\mathbf{E}\sigma^2_{0,s}ds $$

Alex
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