Skip to main content

All Questions

Filter by
Sorted by
Tagged with
17 votes
4 answers
2k views

Geometric interpretations of the exponential of entropy

Question: Might there be a natural geometric interpretation of the exponential of entropy in Classical and Quantum Information theory? This question occurred to me recently via a geometric inequality ...
Aidan Rocke's user avatar
  • 3,871
37 votes
3 answers
3k views

An entropy inequality

Let $X,Y$ be probability measures on $\{1,2,\dots,n\}$, and set $K=\sum_i\sqrt{X(i)Y(i)}$ so that $Z:=\frac{1}{K}\sqrt{XY}$ is also a probability measure on $\{1,2,\dots,n\}$. How can we prove the ...
Eric Naslund's user avatar
  • 11.4k
18 votes
2 answers
966 views

Is there an axiomatic characterization of the entropy of a continuous random variable?

Let $X$ be a random variable taking values in $\{1,\ldots,n\}$, and let $p_i$ denote the probability of the event $\{X = i\}$. Shannon defined the entropy of $X$ to be the quantity $$H(X) = -\sum_i ...
Paul Siegel's user avatar
  • 29.2k
18 votes
3 answers
3k views

Entropy and total variation distance

Let $X$, $Y$ be discrete random variables taking values within the same set of $N$ elements. Let the total variation distance $|P-Q|$ (which is half the $L_1$ distance between the distributions of $P$ ...
H A Helfgott's user avatar
  • 20.2k
9 votes
1 answer
495 views

Higher moments of information and Renyi entropy

For a given discrete probability distribution, Shannon entropy can be though as an expectation value $\langle - \log p \rangle$ (see also: What is entropy, really?, What is the role of the logarithm ...
Piotr Migdal's user avatar
  • 1,612
6 votes
2 answers
1k views

Do binary symmetric channels maximize mutual information?

Consider the following setup: $(X, Y)$ is a doubly symmetric binary source with parameter $0 < p < 1/2$, i.e., $X \sim \text{Bernoulli}(1/2)$, $Z \sim \text{Bernoulli}(p)$ and $Y = X \oplus Z$. ...
Georg Pichler's user avatar
4 votes
2 answers
2k views

Convexity and semicontinuity of the relative entropy function

There are several different definitions of relative entropy, and some of them are not equivalent. Following is the definition we will use in this question. Let $M$ be a closed manifold and $\mathcal{...
4 votes
3 answers
1k views

Incremental entropy computation

After a quick internet search I found no method for incremental entropy computation. Question 1 Let $\{x_i\}_{i=1}^n$ and $\{x_i\}_{i=1+n}^{n+m}$ be two samples and let $S_i^j:=\sum_{k=i}^j x_k$. ...
user12344567's user avatar
3 votes
1 answer
127 views

Conditions for: (local) lipschitz stability of I-projection

The following post builds on this post; I'll begin by quoting the setting. Background from Previous Question: $\newcommand\SS{P}\newcommand\TT{Q}$Call a Gaussian probability measure $\SS$ on $\mathbb{...
Math_Newbie's user avatar
2 votes
0 answers
264 views

Prove or disprove a mutual information inequality

I have $n$ IID Bernoulli random variables denoted by $X_1,X_2,\ldots X_n$ with parameter $p$. I am interested in knowing if the following inequality involving mutual information holds : $\boxed{\max_{...
wanderer's user avatar
2 votes
0 answers
413 views

Interpretation of Shannon Entropy Application

Consider a collection of increasing positive integers $\{a_i\}_{i=1}^m$ and the distribution $p_i=\frac{a_i}{\sum_{i=1}^ma_i}$. Let entropy of $\mathcal{A}=\{a_i\}_{i=1}^m$ be given by $$H(\mathcal{A}...
Turbo's user avatar
  • 13.9k
1 vote
1 answer
124 views

References: error and stability estimates for information projection

$\newcommand\SS{P}\newcommand\TT{Q}$I will call a Gaussian probability measure $\SS$ on $\mathbb{R}^d$ isotropic if its covariance matrix is diagonal with non-vanishing determinant; i.e. $\Sigma_{i,i}&...
Math_Newbie's user avatar
1 vote
0 answers
428 views

When inequality in Mrs. Gerber's lemma is almost equality?

Let $X=x_1\ldots x_n$ be a random variable. Assume that every $x_i$ takes values in $\{0,1\}$. Assume also that for every $I \subseteq \{1,\ldots, n\}$ the Shannon entropy of random value $X_I$ [if $I ...
Alexey Milovanov's user avatar
0 votes
1 answer
161 views

order of convergence of the conditional entropy

Let $X_n$ be a random variable distributed on $A_n:=\{1, \ldots, n\}$ and $g_n\colon A_n \to A_n$ such that $\Pr\big(X_n \neq g_n(X_n)\big) \to 0$. Putting $Y_n=g(X_n)$ then by Fano's inequality $$\...
Stéphane Laurent's user avatar