Skip to main content
Log in

On Limit Results for a Class of Singularly Perturbed Switching Diffusions

  • Published:
Journal of Theoretical Probability Aims and scope Submit manuscript

Abstract

This work is devoted to the weak convergence analysis of a class of aggregated processes resulting from singularly perturbed switching diffusions with fast and slow motions. The processes consist of diffusion components and pure jump components. The states of the pure jump component are naturally divisible into a number of classes. Aggregate the states in each weakly irreducible class by a single state leading to an aggregated process. Under suitable conditions, it is shown that the aggregated process converges weakly to a switching diffusion process whose generator is an average with respect to the quasi-stationary distribution of the jump process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. Eidelman, S. D. (1969). Parabolic Systems, North-Holland, New York.

    Google Scholar 

  2. Ethier, S. N., and Kurtz, T. G. (1986). Markov Processes: Characterization andConvergence, Wiley, New York.

  3. Gihman, I. I., and Skorohod, A. V. (1979). Theory of Stochastic Processes, III, Springer-Verlag, Berlin.

    Google Scholar 

  4. Il'in, A. M., Khasminskii, R. Z., and G. Yin (1999). Singularly perturbed switching diffusions: Rapid switchings and fast diffusions. J. Optim. Theory Appl. 102, 555–591.

    Google Scholar 

  5. Khasminskii, R. Z., and Yin, G. (1996). Asymptotic series for singularly perturbed KolmogorovûFokkerûPlanck equations. SIAM J. Appl. Math. 56, 1766–1793.

    Google Scholar 

  6. Khasminskii, R. Z., Yin, G., and Zhang, Q. (1996). Asymptotic expansions of singularly perturbed systems involving rapidly fluctuating Markov chains. SIAM J. Appl. Math. 56, 277–293.

    Google Scholar 

  7. Khasminskii, R. Z., Yin, G., and Zhang, Q. (1997). Constructing asymptotic series for probability distribution of Markov chains with weak and strong interactions. Quart. Appl. Math. LV, 177-200.

    Google Scholar 

  8. Kushner, H. J. (1984). Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  9. Ladyzhenskaia, O. A., Solonnikov, V. A., and Ural'tseva, N. N. (1968). Linear andquasilinear equations of parabolic type, Trans. Math. Monographs, Vol. 23, Amer. Math. Soc., Providence, Rhode Island.

    Google Scholar 

  10. Liptser, R. S., and Shiryayev, A. N. (1997). Statistics of Random Processes I, Springer-Verlag, New York.

    Google Scholar 

  11. Pan, Z. G., and Ba?ar, T. (1995). H ?-control of Markovian jump linear systems and solutions to associated piecewise-deterministic differential games. In G. J. Olsder (Ed.), New Trends in Dynamic Games and Applications, Birkhäuser, Boston, pp. 61–94.

    Google Scholar 

  12. Phillips, R. G., and Kokotovic, P. V. (1981). A singular perturbation approach to modelling and control of Markov chains. IEEE Trans. Automat. Control 26, 1087–1094.

    Google Scholar 

  13. Sethi, S. P., and Zhang, Q. (1994). Hierarchical Decision Making in Stochastic Manufacturing Systems, Birkhäuser, Boston.

    Google Scholar 

  14. Skorohod, A. V. (1989). Asymptotic Methods of the Theory of Stochastic Differential Equations, Trans. Math. Monographs, Vol. 78, Amer. Math. Soc., Providence.

    Google Scholar 

  15. Yin, G., and Kniazeva, M. (1999). Singularly perturbed multidimensional switching diffusions with fast and slow switches, J. Math. Anal. Appl. 229, 605–630.

    Google Scholar 

  16. Yin, G., and Zhang, Q. (1998). Continuous-time Markov Chains andApplications: A Singular Perturbations Approach, Springer-Verlag, New York.

    Google Scholar 

  17. Yin, Q., Zhang, G., and Badowski, G. (2000). Asymptotic properties of a singularly perturbed Markov chain with inclusion of transient states. Ann. Appl. Probab. 10, 549–572.

    Google Scholar 

  18. Zhang, Q., and Yin, G. (1997). Structural properties of Markov chains with weak and strong interactions. Stochastic Process Appl. 70, 181–197.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yin, G. On Limit Results for a Class of Singularly Perturbed Switching Diffusions. Journal of Theoretical Probability 14, 673–697 (2001). https://doi.org/10.1023/A:1017541022565

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1017541022565

Navigation