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Theoretical and experimental aspects of information theory and coding theory. This tag covers but is not limited to following branches: information theory, information geometry, optimal transportation theory, coding theory.

1 vote
Accepted

Maximization of information over set of non-injective functions (Equality)

No. Let $Y,Z$ be iid Bernoulli(1/2), and let $X=Y+Z$ mod 2, which induces pairwise independence. The only non-injective deterministic functions $f_Y,f_Z$ are constants, rendering the RHS zero. For th …
Tom's user avatar
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1 vote
Accepted

Smallest $\mathrm{D}(Q\|P)$ given fixed marginals $\mathrm{D}(Q_X\|P_X)$ and $\mathrm{D}(Q_Y...

Here is a related problem: Fix $Q_X$ and $Q_Y$ and ask what coupling $Q$ minimizes $D(Q||P)$. In this case and under mild assumptions, the minimum exists since the set of couplings $\Pi(Q_X,Q_Y)$ is …
Tom's user avatar
  • 716
3 votes

Relation between multivariate estimation error and differential entropy

You are missing dimensional constants, but you have the right idea. Namely, it is true that $$ E|X-\hat{X}(Y)|^2 \geq \frac{m}{2\pi e} e^{2 h(X|Y)/m }. $$ Like in the 1-dimensional case, this is a co …
Tom's user avatar
  • 716
1 vote

The entropy of a partition of unity

In the parlance of information theory, your functional $I$ is a conditional relative entropy, and $H$ is a mutual information. Indeed, $\mu$ and $K$ together define a joint probability measure on $X …
Tom's user avatar
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7 votes
Accepted

Upper-bound on the Fisher-Rao distance between multivariate Gaussian measures by the KL-dive...

Since relative entropy behaves locally like a squared distance, we might expect the squared Fisher-Rao metric to be comparable to the symmetrized KL divergence. This is indeed the case. Let $d_F$ den …
Tom's user avatar
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1 vote
Accepted

Can information be extracted more precisely using more random trials?

The characterization is given in terms of a so-called auxiliary random variable. It is as explicit of an answer as you'll get, unless you consider very special cases (like jointly Gaussian $X,Y$, or …
Tom's user avatar
  • 716
4 votes

"Entropy" proof of Brunn-Minkowski Inequality?

I'm a bit hesitant to resurrect an old post, but as a result of some of the things I worked on recently, I'd like to share a new answer to the question in the title. Hopefully some will find it inte …
Tom's user avatar
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