Sharp estimates on the tail behavior of a multistable distribution

Multistable distributions, which have been introduced recently by Falconer, L'evy V'ehel and their co-authors, are natural generalizations of symmetric “alpha” stable distributions; roughly speaking, they are obtained by replacing the constant parameter “alpha” by a (Lebesgue) mesurable function. It is known that the tail of a symmetric “alpha” stable distribution asymptotically behaves as a power function with exponent “-alpha”; in this article we extend the latter result to the setting of multistable distributions.