Series representations and asymptotic expansions for the density of the supremum of a stable process
Alexey Kuznetsov

TL;DR
This paper derives explicit asymptotic expansions and convergent series representations for the density of the supremum of a strictly stable process, especially when the process parameters satisfy certain rational relations.
Contribution
It provides new explicit asymptotic expansions and conditions under which these expansions are convergent series for the supremum density of stable processes.
Findings
Asymptotic expansions are derived for non-rational stability indices.
Convergent series representations are established under specific parameter relations.
Results enhance understanding of the supremum distribution of stable processes.
Abstract
We derive explicit asymptotic expansions of the density of the supremum of a strictly stable process when the index is not rational. In the case when parameters and satisfy for some integers we prove that these asymptotic expansions are in fact convergent series representations of the density of supremum.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Mathematical Dynamics and Fractals
