Sign up
Forgot password?
FAQ: Login

Govindan T.E. Trotter-Kato Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications

  • pdf file
  • size 4,16 MB
Govindan T.E. Trotter-Kato Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
Cham: Springer Nature Switzerland, 2024. — 321 p.
This is the first comprehensive book on Trotter-Kato approximations of stochastic differential equations (SDEs) in infinite dimensions and applications. This research monograph combines the varied literature on this topic since 1985 when such a study was initiated. The author provides a clear and systematic introduction to the theory of Trotter-Kato approximations of SDEs and presents its applications to practical topics such as stochastic stability and optimal control. The theory assimilated here is developed slowly and methodically in digestive pieces.
The book begins with a motivational chapter introducing several different models that highlight the importance of the theory on abstract SDEs that will be considered in the subsequent chapters. The author next introduces the necessary mathematical background and then leads the reader into the main discussion of the monograph, namely, the Trotter-Kato approximations of many classes of SDEs in Hilbert spaces, Trotter-Kato approximations of SDEs in UMD Banach spaces and some of their applications. Most of the results presented in the main chapters appear for the first time in book form. The monograph also contains many illustrative examples of stochastic partial differential equations and one in finance as an application of the Trotter-Kato formula. The key steps are included in all proofs which will help the reader to get a real insight into the theory of Trotter-Kato approximations and its use.
This book is intended for researchers and graduate students in mathematics specializing in probability theory. It will also be useful to numerical analysts, engineers, physicists, and practitioners who are interested in applying the theory of stochastic evolution equations. Since the approach is based mainly on semigroup theory, it is accessible to a wider audience including non-specialists in stochastic processes.
  • Sign up or login using form at top of the page to download this file.
  • Sign up
Up