Relative entropy between singular measures

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Usually, to define relative entropy between two probability measures, one assumes absolute continuity. Is it possible to extend the usual definition in the non absolutely continuous case?

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Relative entropy between two probability measures $P$ and $Q$ can be defined even if $P$ is not absolutely continuous w.r.to $Q$. In any case, $P$ and $Q$ are absolutely continuous w.r.to a common measure $\mu$ (one can take $\mu$ to be $\frac{P+Q}{2}$). Then relative entropy between $P$ and $Q$ is defined as $$D(P\|Q)=\int p\log\frac{p}{q}d\mu,$$ where $p=dP/d\mu$ and $q=dQ/d\mu$.