Large deviation asymptotics for a random variable with L\'evy measure supported by $[0, 1]$
Richard Arratia, Fred Kochman, Sandy Zabell

TL;DR
This paper extends asymptotic analysis of Dickman's function to a broader class of densities linked to Lévy measures supported on [0,1], using probabilistic and local limit theorem techniques.
Contribution
It introduces a new probabilistic approach to derive large deviation asymptotics for densities associated with Lévy measures supported on [0,1], generalizing previous number-theoretic results.
Findings
Derived asymptotic formulas for densities with Lévy measures on [0,1]
Connected number theory functions with Poisson process asymptotics
Extended local limit theorem techniques to new class of densities
Abstract
Asymptotics for Dickman's number theoretic function , as , were given de Bruijn and Alladi, and later in sharper form by Hildebrand and Tenenbaum. The perspective in these works is that of analytic number theory. However, the function also arises as a constant multiple of a certain probability density connected with a scale invariant Poisson process, and we observe that Dickman asymptotics can be interpreted as a Gaussian local limit theorem for the sum of arrivals in a tilted Poisson process, combined with untilting. In this paper we exploit and extend this reasoning to obtain analogous asymptotic formulas for a class of functions including, in addition to Dickman's function, the densities of random variables having L\'evy measure with support contained in , subject to mild regularity assumptions.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Bayesian Methods and Mixture Models
