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＜電子ブック＞
Stochastic Stability of Differential Equations / by Rafail Khasminskii
(Stochastic Modelling and Applied Probability. ISSN:2197439X ; 66)

版	2nd ed. 2012.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2012
大きさ	XVIII, 342 p : online resource
著者標目	*Khasminskii, Rafail author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Mechanics FREE:Probability Theory FREE:Classical Mechanics
一般注記	Boundedness in Probability and Stability of Stochastic Processes Defined by Differential Equations -- 2.Stationary and Periodic Solutions of Differential Equations. 3.Markov Processes and Stochastic Differential Equations -- 4.Ergodic Properties of Solutions of Stochastic Equations -- 5.Stability of Stochastic Differential Equations -- 6.Systems of Linear Stochastic Equations -- 7.Some Special Problems in the Theory of Stability of SDE’s -- 8.Stabilization of Controlled Stochastic Systems -- A. Appendix to the First English Edition -- B. Appendix to the Second Edition. Moment Lyapunov Exponents and Stability Index -- References -- Index Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure stability, and for the existence of stationary and periodic solutions of stochastic differential equations have been widely used in the literature. In this updated volume readers will find important new results on the moment Lyapunov exponent, stability index and some other fields, obtained after publication of the first edition, and a significantly expanded bibliography. This volume provides a solid foundation for students in graduate courses in mathematics and its applications. It is also useful for those researchers who would like to learn more about this subject, to start their research in this area or to study the properties of concrete mechanical systems subjected to random perturbations HTTP:URL=https://doi.org/10.1007/978-3-642-23280-0

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