Prove that $\sigma\{X_i:i\in\{1,\cdots,n\}\}=\sigma\{\prod_{k=1}^iX_k:i\in\{1,\cdots,n\}\}$

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Let $\{X_i:i\in\{1,\cdots,n\}\}$ be a set of random variables.

I want to show that $\sigma\{X_i:i\in\{1,\cdots,n\}\}=\sigma\{\prod_{k=1}^iX_k:i\in\{1,\cdots,n\}\}$.

It is easy to see that $\sigma\{X_i:i\in\{1,\cdots,n\}\}\supseteq\sigma\{\prod_{k=1}^iX_k:i\in\{1,\cdots,n\}\}$ since $\prod_{k=1}^iX_k$ is measurable with respect to $\sigma\{X_i:i\in\{1,\cdots,n\}\}$.

The other inclusion causes me problems:

$X_i=\frac{\prod_{k=1}^iX_k}{\prod_{k=1}^{i-1}X_k}$

I would like to say that both the numerator and the denominator are measurable with respect to $\sigma\{\prod_{k=1}^iX_k:i\in\{1,\cdots,n\}\}$ and therefore the entire fraction is measurable with respect to $\sigma\{\prod_{k=1}^iX_k:i\in\{1,\cdots,n\}\}$.

Is this reasoning correct? Mainly I have doubts about divide-by-zero errors.