Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations von Grigorij Kulinich | ISBN 9783030412913

Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations

von Grigorij Kulinich, Svitlana Kushnirenko und Yuliya Mishura
Mitwirkende
Autor / AutorinGrigorij Kulinich
Autor / AutorinSvitlana Kushnirenko
Autor / AutorinYuliya Mishura
Buchcover Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations | Grigorij Kulinich | EAN 9783030412913 | ISBN 3-030-41291-1 | ISBN 978-3-030-41291-3

“The book will be of interest to anybody working in stochastic analysis and its applications, from master and PhD students to professional researchers. Applied scientists can also benefit from this book by seeing efficient methods to deal with unstable processes.” (Jordan M. Stoyanov, zbMATH 1456.60002, 2021)

Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations

von Grigorij Kulinich, Svitlana Kushnirenko und Yuliya Mishura
Mitwirkende
Autor / AutorinGrigorij Kulinich
Autor / AutorinSvitlana Kushnirenko
Autor / AutorinYuliya Mishura

This book is devoted to unstable solutions of stochastic differential equations (SDEs). Despite the huge interest in the theory of SDEs, this book is the first to present a systematic study of the instability and asymptotic behavior of the corresponding unstable stochastic systems. The limit theorems contained in the book are not merely of purely mathematical value; rather, they also have practical value.  Instability or violations of stability are noted in many phenomena, and the authors attempt to apply mathematical and stochastic methods to deal with them. The main goals include exploration of Brownian motion in environments with anomalies and study of the motion of the Brownian particle in layered media. A fairly wide class of continuous Markov processes is obtained in the limit. It includes Markov processes with discontinuous transition densities, processes that are not solutions of any Itô's SDEs, and the Bessel diffusion process. The book is self-contained, with presentation of definitions and auxiliary results in an Appendix. It will be of value for specialists in stochastic analysis and SDEs, as well as for researchers in other fields who deal with unstable systems and practitioners who apply stochastic models to describe phenomena of instability.