Preservation of log-concavity on summation

Journal article

We extend Hoggar's theorem that the sum of two independent discrete-valued log-concave random variables is itself log-concave. We introduce conditions under which the result still holds for dependent variables. We argue that these conditions are natural by giving some applications. Firstly, we use our main theorem to give simple proofs of the log-concavity of the Stirling numbers of the second kind and of the Eulerian numbers. Secondly, we prove results concerning the log-concavity of the sum of independent (not necessarily log-concave) random variables. © EDP Sciences, SMAI 2006.

Authors: Johnson, O; Goldschmidt, C

• Journal: ESAIM - Probability and Statistics
• Volume: 10
• Pages: 206-215
• Publication date: 2006-01-01
• DOI: 10.1051/ps:2006008
• EISSN: 1262-3318
• ISSN: 1292-8100
• Language: English
• Keywords: Convolution; Log-concavity; Stirling numbers; Dependent random variables; Eulerian numbers