Asymptotic Analysis for Functional Stochastic Differential Equations

✍ Scribed by Jianhai Bao, George Yin, Chenggui Yuan (auth.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 159
• Series: SpringerBriefs in Mathematics
• Edition: 1
• Category: Library

✦ Synopsis

This brief treats dynamical systems that involve delays and random disturbances. The study is motivated by a wide variety of systems in real life in which random noise has to be taken into consideration and the effect of delays cannot be ignored. Concentrating on such systems that are described by functional stochastic differential equations, this work focuses on the study of large time behavior, in particular, ergodicity.This brief is written for probabilists, applied mathematicians, engineers, and scientists who need to use delay systems and functional stochastic differential equations in their work. Selected topics from the brief can also be used in a graduate level topics course in probability and stochastic processes.

✦ Table of Contents

Front Matter....Pages i-xvi
Ergodicity for Functional Stochastic Equations Under Dissipativity....Pages 1-25
Ergodicity for Functional Stochastic Equations Without Dissipativity....Pages 27-54
Convergence Rate of Euler–Maruyama Scheme for FSDEs....Pages 55-75
Large Deviations for FSDEs....Pages 77-111
Stochastic Interest Rate Models with Memory: Long-Term Behavior....Pages 113-128
Back Matter....Pages 129-151

✦ Subjects

Probability Theory and Stochastic Processes;Ordinary Differential Equations