For an RV $X$ with values on $\{1,2,\ldots\}$, I need to prove that the entropy is less than the EV: $H(X)\leq E(X)$ . I tried to bound the log but I'm not quite there. Appreciate any hint...
Thanks
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For an RV $X$ with values on $\{1,2,\ldots\}$, I need to prove that the entropy is less than the EV: $H(X)\leq E(X)$ . I tried to bound the log but I'm not quite there. Appreciate any hint... Thanks |
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As requested, I'm answering my own question: It is known that the Divergence holds $D(P||Q)\geq 0$ , ie $\sum p_i \log \frac{p_i}{q_i}\geq 0$. so: $\sum p_i \log p_i \geq \sum p_i \log q_i$ $-\sum p_i \log p_i \leq \sum p_i \log q_i^{-1}$ Choosing a probability distribution q: $q_i = 2^{-i}$ yields: $-\sum p_i \log p_i \leq \sum p_i \log 2^i=\sum p_i \cdot i=EX$. Therefore: $H(X)\leq EX$ PS, $q$ is a distribution since $0\leq q_i\leq 1$ and $\sum q_i=1$ |
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