RUS  ENG
Full version
JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2017 Issue 8, Pages 100–112 (Mi at14541)

This article is cited in 1 paper

Stochastic Systems

Nonlinear trend exclusion procedure for models defined by stochastic differential and difference equations

V. D. Konakov, A. R. Markova

National Research University Higher School of Economics, Moscow, Russia

Abstract: We consider a diffusion process and its approximation with a Markov chain whose trends contain a nonlinear unbounded component. The usual parametrix method is inapplicable here since the trend is unbounded. We present a procedure that lets us exclude a nonlinear growing trend and pass to a stochastic differential equation with bounded drift and diffusion coefficients. A similar procedure is also considered for a Markov chain.

Keywords: stochastic differential equation, diffusion process, Markov chains, parametrix method.

Presented by the member of Editorial Board: A. V. Nazin

Received: 19.09.2016


 English version:
Automation and Remote Control, 2017, 78:8, 1438–1448

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024