Abstract
The pth moment matrix is defined for a real random vector, generalizing the classical covariance matrix. Sharp inequalities relating the pth moment and Renyi entropy are established, generalizing the classical inequality relating the second moment and the Shannon entropy. The extremal distributions for these inequalities are completely characterized.
Original language | English (US) |
---|---|
Pages (from-to) | 1603-1607 |
Number of pages | 5 |
Journal | IEEE Transactions on Information Theory |
Volume | 53 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2007 |
Keywords
- Covariance
- Covariance matrix
- Entropy
- Information measure
- Information theory
- Moment
- Moment matrix
- Random vector
- Renyi entropy
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Library and Information Sciences