RUS  ENG
Full version
JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 2021 Volume 66, Issue 2, Pages 214–230 (Mi tvp5470)

This article is cited in 3 papers

On exact large deviation principles for compound renewal processes

A. A. Borovkov

Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk

Abstract: We consider two large deviation principles (LDPs): the “ordinary” LDP (when the “strong” Cramér condition is met) and the “extended” LDP when only the standard Cramér condition is met and the deviation functional may be finite also for discontinuous trajectories. The standard formulation of these principles involves two asymptotic (upper and lower) estimates for the logarithms of the probabilities that the normalized trajectory of the process lies in a given set $B$. We obtain conditions on a set $B$ such that these estimates coincide and the large deviation principles take the form of exact asymptotic equalities. Such LDPs are called exact. We show that the estimating interval of an ordinary LDP is contained in the estimating interval of the extended LDP. Hence the fulfillment of the exact extended LDP implies that of the exact ordinary LDP. The results obtained in the present paper are also fully valid and relevant for random walks (a special case of compound recovery processes).

Keywords: large deviation principle, extended large deviation principle, exact large deviation principle, most probable trajectory, deviation functional, random walks.

Received: 28.12.2020
Revised: 14.01.2021
Accepted: 26.01.2021

DOI: 10.4213/tvp5470


 English version:
Theory of Probability and its Applications, 2021, 66:2, 170–183

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024