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Theory and application of stability for stochastic reaction diffusion systems

Mao, X. and Luo, Q. and Deng, F. and Bao, J. and Zhang, Y. (2008) Theory and application of stability for stochastic reaction diffusion systems. Science in China Series F - Information Sciences, 51 (2). pp. 158-170. ISSN 1009-2757

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Abstract

So far, the Lyapunov direct method is still the most effective technique in the study of stability for ordinary differential equations and stochastic differential equations. Due to the shortage of the corresponding Itô formula, this useful method has not been popularized in stochastic partial differential equations. The aim of this work is to try to extend the Lyapunov direct method to the Itô stochastic reaction diffusion systems and to establish the corresponding Lyapunov stability theory, including stability in probablity, asymptotic stability in probability, and exponential stability in mean square. As the application of the obtained theorems, this paper addresses the stability of the Hopfield neural network and points out that the main results obtained by Holden Helge and Liao Xiaoxin et al. can be all regarded as the corollaries of the theorems presented in this paper.

Item type: Article
ID code: 14043
Keywords: stochastic reaction diffusion system, stability in probability, asymptotic stability, exponential stability, mean square, differential equations, Mathematics
Subjects: Science > Mathematics
Department: Faculty of Science > Mathematics and Statistics
Strathclyde Business School
Faculty of Science > Mathematics and Statistics > Mathematics
Related URLs:
    Depositing user: Mrs Carolynne Westwood
    Date Deposited: 11 Jan 2010 17:03
    Last modified: 16 Jul 2013 22:45
    URI: http://strathprints.strath.ac.uk/id/eprint/14043

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