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This is the q(xi) distribution of information theory
(1/2) is bit information and $l_{i}$ is the length of the number of bit

then the cross enthropy derived to

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I'm lack of experiecne to handling the log so can you show me how $-E_{p}[ln(q(x))/ln(2)]$ derived?

I want to know how

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to

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1 Answer 1

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Change of base formula in logarithm states, $$\log_ba \times \log_xb=\log_xa$$

Then $$-\mathbb{E}_P\frac{\ln q(X)}{\ln2}=-\mathbb{E}\log_2 q(X)$$

rest is writing out the expectation explicitly.

The context is unclear, however as $q(x_i)=\frac{1}{2^{l_i}}$. Taking $\ln$ we obtain, $$\ln q(x_i)=l_i \ln 2^{-1} \implies l_i=-\frac{\ln q(x_i)}{\ln2}$$. Taking expectation on both sides with respect to the disribution $P$ it follows.

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  • $\begingroup$ I want to know the previous step. I edit the question $\endgroup$
    – slowmonk
    Jun 23, 2020 at 0:20
  • $\begingroup$ This hopefully answers your query $\endgroup$
    – Dinesh
    Jun 23, 2020 at 8:57

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