Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach

This paper is devoted to investigating stability in mean of partial variables for coupled stochastic reaction-diffusion systems on networks (CSRDSNs). By transforming the integral of the trajectory with respect to spatial variables as the solution of the stochastic ordinary differential equations (...

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Main Authors: Yonggui Kao, Hamid Reza Karimi
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/597502
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author Yonggui Kao
Hamid Reza Karimi
author_facet Yonggui Kao
Hamid Reza Karimi
author_sort Yonggui Kao
collection DOAJ
description This paper is devoted to investigating stability in mean of partial variables for coupled stochastic reaction-diffusion systems on networks (CSRDSNs). By transforming the integral of the trajectory with respect to spatial variables as the solution of the stochastic ordinary differential equations (SODE) and using Itô formula, we establish some novel stability principles for uniform stability in mean, asymptotic stability in mean, uniformly asymptotic stability in mean, and exponential stability in mean of partial variables for CSRDSNs. These stability principles have a close relation with the topology property of the network. We also provide a systematic method for constructing global Lyapunov function for these CSRDSNs by using graph theory. The new method can help to analyze the dynamics of complex networks. An example is presented to illustrate the effectiveness and efficiency of the obtained results.
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series Abstract and Applied Analysis
spelling doaj-art-5fc6dd2b5a1a469f88ade6cd7608dbde2025-02-03T01:10:59ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/597502597502Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph ApproachYonggui Kao0Hamid Reza Karimi1Department of Mathematics, Harbin Institute of Technology, Weihai 264209, ChinaDepartment of Engineering, Faculty of Technology and Science, University of Agder, 4898 Grimstad, NorwayThis paper is devoted to investigating stability in mean of partial variables for coupled stochastic reaction-diffusion systems on networks (CSRDSNs). By transforming the integral of the trajectory with respect to spatial variables as the solution of the stochastic ordinary differential equations (SODE) and using Itô formula, we establish some novel stability principles for uniform stability in mean, asymptotic stability in mean, uniformly asymptotic stability in mean, and exponential stability in mean of partial variables for CSRDSNs. These stability principles have a close relation with the topology property of the network. We also provide a systematic method for constructing global Lyapunov function for these CSRDSNs by using graph theory. The new method can help to analyze the dynamics of complex networks. An example is presented to illustrate the effectiveness and efficiency of the obtained results.http://dx.doi.org/10.1155/2014/597502
spellingShingle Yonggui Kao
Hamid Reza Karimi
Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach
Abstract and Applied Analysis
title Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach
title_full Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach
title_fullStr Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach
title_full_unstemmed Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach
title_short Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach
title_sort stability in mean of partial variables for coupled stochastic reaction diffusion systems on networks a graph approach
url http://dx.doi.org/10.1155/2014/597502
work_keys_str_mv AT yongguikao stabilityinmeanofpartialvariablesforcoupledstochasticreactiondiffusionsystemsonnetworksagraphapproach
AT hamidrezakarimi stabilityinmeanofpartialvariablesforcoupledstochasticreactiondiffusionsystemsonnetworksagraphapproach