Asymptotic Analysis for Functional Stochastic Differential Equations: SpringerBriefs in Mathematics
Autor Jianhai Bao, George Yin, Chenggui Yuanen Limba Engleză Paperback – 30 noi 2016
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.
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Specificații
ISBN-13: 9783319469782
ISBN-10: 3319469789
Pagini: 151
Ilustrații: XVI, 151 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Mathematics
Locul publicării:Cham, Switzerland
ISBN-10: 3319469789
Pagini: 151
Ilustrații: XVI, 151 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Mathematics
Locul publicării:Cham, Switzerland
Cuprins
Preface and Introduction.- Notation.- Ergodicity for Functional Stochastic Equations under Dissipativity.- Ergodicity for Functional Stochastic Equations without Dissipativity.- Convergence Rate of Euler-Maruyama Scheme for FSDEs.- Large Deviations for FSDEs.- Stochastic Interest Rate Models with Memory: Long-Term Behavior.- Existence and Uniqueness.- Markov Property and Variation of Constants Formulas.
Caracteristici
Focuses on the long-term behavior and ergodicity of functional stochastic differential equations (FSDEs) Written for researchers and graduate students in probability theory and stochastic analysis Useful as a reference for applied mathematicians, engineers, and scientists who need to use FSDEs Includes supplementary material: sn.pub/extras