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Probability Theory and Stochastic Modelling

Random Ordinary Differential Equations and Their Numerical Solution

Authors: Han, Xiaoying, Kloeden, Peter E.

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  • Makes recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership
  • Develops numerical methods for random ODEs (RODEs)
  • Highlights important applications, with a focus on dynamical behavior and the biological sciences
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eBook $89.00
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  • ISBN 978-981-10-6265-0
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Hardcover $119.99
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  • Immediate ebook access, if available*, with your print order
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Softcover $119.99
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  • ISBN 978-981-13-4843-3
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  • Usually dispatched within 3 to 5 business days.
About this book

This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems. In addition, it demonstrates how RODEs are being used in the biological sciences, where non-Gaussian and bounded noise are often more realistic than the Gaussian white noise in stochastic differential equations (SODEs).

 

RODEs are used in many important applications and play a fundamental role in the theory of random dynamical systems.  They can be analyzed pathwise with deterministic calculus, but require further treatment beyond that of classical ODE theory due to the lack of smoothness in their time variable.  Although classical numerical schemes for ODEs can be used pathwise for RODEs, they rarely attain their traditional order since the solutions of RODEs do not have sufficient smoothness to have Taylor expansions in the usual sense.  However, Taylor-like expansions can be derived for RODEs using an iterated application of the appropriate chain rule in integral form, and represent the starting point for the systematic derivation of consistent higher order numerical schemes for RODEs.

 

The book is directed at a wide range of readers in applied and computational mathematics and related areas as well as readers who are interested in the applications of mathematical models involving random effects, in particular in the biological sciences.The level of this book is suitable for graduate students in applied mathematics and related areas, computational sciences and systems biology.  A basic knowledge of ordinary differential equations and numerical analysis is required. 

About the authors

Professor Peter E. Kloeden has wide interests in the applications of mathematical analysis, numerical analysis, stochastic analysis and dynamical systems.  He is the coauthor of several influential books on nonautonomous dynamical systems, metric spaces of fuzzy sets, and in particular “Numerical Solutions of Stochastic Differential equations” (with E. Platen) published by Springer in 1992.  Professor Kloeden is a Fellow of the Australian Mathematical Society and the Society of Industrial and Applied Mathematics. He was awarded the W.T. & Idalia Reid Prize from Society of Applied and Industrial Mathematics in 2006.  His current interests focus on nonautonomous and random dynamical systems and their applications in the biological sciences.

Professor Xiaoying Han’s main research interests are in random and nonautonomous dynamical systems and their applications.  In addition to mathematical analysis of dynamical systems, she is also interested in modeling and simulation of applied dynamical systems in biology, chemical engineering, ecology, material sciences, etc.  She is the coauthor of the books “Applied Nonautonomous and Random Dynamical Systems” (with T. Caraballo) and “Attractors under Discretisation” (with P. E. Kloeden), published in the SpringerBrief series.

Reviews

“This monograph provides a general overview of random ordinary differential equations (RODEs) with emphasis on numerical methods used to solve them. … This book is a welcome addition to the literature that will be especially helpful to scholars seeking an understanding of RODEs and the numerical methods used to solve them.” (Melvin D. Lax, zbMATH 1392.60003, 2018)

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Introduction

    Pages 3-13

    Han, Xiaoying (et al.)

  • Random Ordinary Differential Equations

    Pages 15-27

    Han, Xiaoying (et al.)

  • Stochastic Differential Equations

    Pages 29-36

    Han, Xiaoying (et al.)

  • Random Dynamical Systems

    Pages 37-47

    Han, Xiaoying (et al.)

  • Numerical Dynamics

    Pages 49-58

    Han, Xiaoying (et al.)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-981-10-6265-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-981-10-6264-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $119.99
price for USA in USD
  • ISBN 978-981-13-4843-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Random Ordinary Differential Equations and Their Numerical Solution
Authors
Series Title
Probability Theory and Stochastic Modelling
Series Volume
85
Copyright
2017
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-6265-0
DOI
10.1007/978-981-10-6265-0
Hardcover ISBN
978-981-10-6264-3
Softcover ISBN
978-981-13-4843-3
Series ISSN
2199-3130
Edition Number
1
Number of Pages
XVII, 250
Number of Illustrations
21 illustrations in colour
Topics

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