Random Dirichlet series arising from records
Ron Peled, Yuval Peres, Jim Pitman, Ryokichi Tanaka

TL;DR
This paper investigates the distributional properties of a class of random Dirichlet series linked to record indicators, establishing conditions for their densities, regularity, and singularities using Fourier analysis and number theory.
Contribution
It provides a comprehensive analysis of the density and regularity of random Dirichlet series related to record indicators, including new results on their smoothness and singularities.
Findings
When $s>0$ and $0< eta extless 1$ with $s+eta>1$, the distribution has a smooth density.
For $s>0$ and $eta=1$, the density is bounded and continuous for $0<s<1$, unbounded for $s>1$.
A non-atomic singular distribution is constructed from the series restricted to primes.
Abstract
We study the distributions of the random Dirichlet series with parameters defined by where is a sequence of independent Bernoulli random variables, taking value with probability and value otherwise. Random series of this type are motivated by the record indicator sequences which have been studied in extreme value theory in statistics. We show that when and with the distribution of has a density; otherwise it is purely atomic or not defined because of divergence. In particular, in the case when and , we prove that for every the density is bounded and continuous, whereas for every it is unbounded. In the case when and with , the density is smooth. To show the absolute continuity, we obtain estimates of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Limits and Structures in Graph Theory · Mathematical Dynamics and Fractals
