Entropy and Information jump for log-concave vectors
We extend the result of Ball and Nguyen on the jump of entropy under convolution for log-concave random vectors. We show that the result holds for any pair of vectors (not necessarily identically distributed) and that a similar inequality holds for the Fisher information, thus providing a quantitati...
Main Author: | Bizeul, Pierre |
---|---|
Format: | Article |
Language: | English |
Published: |
Académie des sciences
2023-02-01
|
Series: | Comptes Rendus. Mathématique |
Online Access: | https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.390/ |
Similar Items
-
A Lower Bound on the Differential Entropy of Log-Concave Random Vectors with Applications
by: Arnaud Marsiglietti, et al.
Published: (2018-03-01) -
The f-vector of a representable-matroid complex is log-concave
by: Lenz, M
Published: (2013) -
Entropies and Their Concavity and Schur-Concavity Conditions
by: Tarald O. Kvalseth
Published: (2022-01-01) -
Preservation of log-concavity on summation
by: Johnson, O, et al.
Published: (2006) -
Infinite log-concavity: developments and conjectures
by: Peter R. W. McNamara, et al.
Published: (2009-01-01)