An explicit example for the high temperature convolution: crossover between the binomial law $B(2,1/2)$ and the arcsine law

Abstract

In this note, we study the high-temperature convolution introduced in Ref.\ \cite{mergny_cconv}, between two symmetric Bernoulli distributions. We give an analytical expression for both the Stieltjes transform and the density. This result provides the first non-trivial expression for the high-temperature convolution of two distributions and gives a new family of densities, interpolating between the centered binomial distribution with number of trials $n=2$ and probability of success $p=1/2$, and the centered and re-scaled arcsine law.

6 pages, 1 figure