Preservation of log-concavity on summation
arXiv:math/0502548 · doi:10.1051/ps:2006008
Abstract
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.
References in corpus (1)
Cited by in corpus (7)
- Log-concavity and the maximum entropy property of the Poisson distribution
- Log-concavity, ultra-log-concavity, and a maximum entropy property of discrete compound Poisson measures
- Binomial-Poisson entropic inequalities and the M/M/ queue
- The Shafarevich conjecture for hypersurfaces in abelian varieties
- On the entropy and log-concavity of compound Poisson measures
- Entropy-variance inequalities for discrete log-concave random variables via degree of freedom
- On random partitions induced by random maps