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Teor. Veroyatnost. i Primenen., 2022 Volume 67, Issue 2, Pages 365–383 (Mi tvp5430)

Local tail asymptotics for the joint distribution of the length and of the maximum of a random walk excursion

E. Perfileva, V. Wañhtelb

a Institut für Mathematik, Universität Augsburg, Augsburg, Germany
b Fakultät für Mathematik, Universität Bielefeld, Bielefeld, Germany

Abstract: This note is devoted to the study of the maximum of the excursion of a random walk with negative drift and light-tailed increments. More precisely, we determine the local asymptotics of the joint distribution of the length, the maximum, and the time at which this maximum is achieved. This result allows one to obtain a local central limit theorem for the length of the excursion conditioned on large values of the maximum.

Keywords: random walk, excursion, Cramér–Lundberg, exponential change of measure.

Received: 16.08.2020
Revised: 12.01.2022
Accepted: 17.01.2022

Language: English

DOI: 10.4213/tvp5430


 English version:
Theory of Probability and its Applications, 2022, 67:2, 294–309

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© Steklov Math. Inst. of RAS, 2024