List questions from entropy

Published on 19 Oct 2020 - 19:25

46

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Reversed version of de Bruijn's identity/Boltzmann H-theorem for Markov processes

Published on 23 Feb 2026 - 11:50

95

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Radhakrishnans proof of Bregman's theorem

Published on 27 Mar 2026 - 2:39

192

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Can information-theory quantify deviations from bijectivity?

Published on 02 Nov 2020 - 9:25

300

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If $\alpha = \beta$, why can't the entropy-regularized Wasserstein distance equal $0$?

Published on 24 Feb 2026 - 3:42

290

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Joint entropy of cards color

Published on 08 Nov 2020 - 16:40

27

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How to show that the Shannon Entropy is well defined?

Published on 10 Nov 2020 - 13:53

177

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Antilog of Shannon entropy (exponential entropy)

Published on 10 Nov 2020 - 22:33

423

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Proof that entropy of Markov Source is $H(S) = \sum_s P(s) H(s)$

Published on 12 Nov 2020 - 10:05

393

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How to formulate and simplify weighted differential entropy for Gaussian random variables?

Published on 23 Feb 2026 - 20:40

180

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Derivation of $t$-distribution Entropy closed-form analytical solution

Published on 23 Feb 2026 - 20:40

54

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Simple algebra clarification needed for Gaussian entropy formula

Published on 23 Feb 2026 - 20:39

1.5k

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Zero KL-divergence $\Rightarrow$ same distribution?

Published on 14 Nov 2020 - 1:15

107

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Prove $h_{p\mu+(1-p)\nu}(T)=ph_\mu(T)+(1-p)h_\nu(T)$

Published on 16 Nov 2020 - 11:12

60

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Mean, variance, .., higher variances?

Published on 17 Nov 2020 - 14:48

List Question

Metric entropy for $\beta$-transformation $x\mapsto \beta x\pmod 1$.

Reversed version of de Bruijn's identity/Boltzmann H-theorem for Markov processes

Radhakrishnans proof of Bregman's theorem

Can information-theory quantify deviations from bijectivity?

If $\alpha = \beta$, why can't the entropy-regularized Wasserstein distance equal $0$?

Joint entropy of cards color

How to show that the Shannon Entropy is well defined?

Antilog of Shannon entropy (exponential entropy)

Proof that entropy of Markov Source is $H(S) = \sum_s P(s) H(s)$

How to formulate and simplify weighted differential entropy for Gaussian random variables?

Derivation of $t$-distribution Entropy closed-form analytical solution

Simple algebra clarification needed for Gaussian entropy formula

Zero KL-divergence $\Rightarrow$ same distribution?

Prove $h_{p\mu+(1-p)\nu}(T)=ph_\mu(T)+(1-p)h_\nu(T)$

Mean, variance, .., higher variances?

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