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The Entropy of the following distribution is $ - \infty $

$ p(x) = \frac{\delta(x=-1) + \delta(x=1)}{2} $

Mathematically the reason is because of having a $ - \infty \over 2 $ density probability for each of two spikes. What is the conceptual reason for having that Entropy value?

The Entropy measure: $ H(x) = - \int_{-\infty}^{+\infty} p(x).ln(p(x)).dx $

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You need to describe what measure of entropy you are using: Shannon entropy does not produce $- \infty$ here – Henry Jun 19 '12 at 19:47

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