An extremal inequality motivated by multiterminal information theoretic problems Conference Paper

abstract

• We prove a new extremal inequality, motivated by the vector Gaussian broadcast channel and the distributed source coding with a single quadratic distortion constraint problem. As a corollary, this inequality yields a generalization of the classical vector entropy-power inequality (EPI). As another corollary, this inequality sheds insight into maximizing differential entropy of a sum of jointly distributed random variables, generalizing a classical result of Cover and Zhang. 2006 IEEE.

name of conference

• 2006 IEEE International Symposium on Information Theory

authors

• Liu, Tie

published proceedings

• 2006 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1-6, PROCEEDINGS

author list (cited authors)

• Liu, T., & Viswanath, P.

citation count

• 5

complete list of authors

• Liu, Tie||Viswanath, Pramod

publication date

• July 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• 10 Reduced Inequalities
• 49 Mathematical Sciences
• 4901 Applied Mathematics

Digital Object Identifier (DOI)

• 10.1109/ISIT.2006.261881

International Standard Book Number (ISBN) 10

• 1424405041

International Standard Book Number (ISBN) 13

• 978-1-4244-0505-3

start page

• 1016

end page

• +

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fisit.2006.261881

user-defined tag

• 10 Reduced Inequalities