期刊文献+

INVARIANT DENSITY, LYAPUNOV EXPONENT, AND ALMOST SURE STABILITY OF MARKOVIAN-REGIME-SWITCHING LINEAR SYSTEMS

INVARIANT DENSITY, LYAPUNOV EXPONENT, AND ALMOST SURE STABILITY OF MARKOVIAN-REGIME-SWITCHING LINEAR SYSTEMS
原文传递
导出
摘要 This paper is concerned with stability of a class of randomly switched systems of ordinary differential equations. The system under consideration can be viewed as a two-component process (X(t), α(t)), where the system is linear in X(t) and α(t) is a continuous-time Markov chain with a finite state space. Conditions for almost surely exponential stability and instability are obtained. The conditions are based on the Lyapunov exponent, which in turn, depends on the associate invaxiant density. Concentrating on the case that the continuous component is two dimensional, using transformation techniques, differential equations satisfied by the invariant density associated with the Lyapunov exponent are derived. Conditions for existence and uniqueness of solutions are derived. Then numerical solutions are developed to solve the associated differential equations.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2011年第1期79-92,共14页 系统科学与复杂性学报(英文版)
基金 This research was supported in part by the National Science Foundation under Grant No. DMS-0907753, in part by the Air Force Office of Scientific Research under Grant No. FA9550-10-1-0210, and in part by the National Natural Science Foundation of China under Grant No. 70871055.
关键词 Invariant density Lyapunov exponent randomly switching ordinary differential equation. Lyapunov指数 开关线性系统 变密度 稳定性 连续时间马尔可夫链 几乎必然指数稳定 常微分方程 政权
  • 相关文献

参考文献15

  • 1M. M. Benderskii and L. A. Pastur, The spectrum of the one-dimensional Schrodinger equation with random potential, Mat. Sb., 1972, 82: 273-284.
  • 2M. M. Benderskii and L. A. Pastur, Asymptotic behavior of the solutions of a second order equation with random coefficients, Teor. Funkcil Funkcional. Anal. i Prilozen, 1973, 22: 3-14.
  • 3K. A. Loparo and G. L. Blankenship, Almost sure instability of a class of linear stochastic systems with jump process coefficients, Lyapunov Exponents, 160-190, Lecture Notes in Math., 1186, Springer, Berlin, 1986.
  • 4G. Baxone-Adesi and R. Whaley, Efficient analytic approximation of American option values, J. Finance, 1987, 42: 301-320.
  • 5M. H. A. Davis, Markov Models and Optimization, Chapman & Hall, London, UK, 1993.
  • 6G. B. Di Masi, Y. M. Kabanov, and W.-J. Runggaldier, Mean variance hedging of oPtions on stocks with Maxkov volatility, Theory of Probab. Appl., 1994, 39: 173-181.
  • 7G. Yin, V. Krishnamurthy, and C. Ion, Regime switching stochastic approximation algorithms with application to adaptive discrete stochastic optimization, SIAM J. Optim., 2004, 14: 1187-1215.
  • 8G. Yin und C. Zhu, Hybrid S~dtching Di~usions: Properties and Applications, Springer, New York, 2010.
  • 9C. Zhu, G. Yin, and Q. S. Song, Stability of random-switching systems of differential equations, Quarterly Appl. Math., 2009, 67: 201-220.
  • 10X. Mao and C. Yuan, Stochastic Differential Equations with Markovian Switching, Impreial College Press, London, 2006.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部