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Markov chains with exponentially small transition probabilities: First exit problem from a general domain. II. The general case

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Abstract

In this paper we consider aperiodic ergodic Markov chains with transition probabilities exponentially small in a large parameter β. We extend to the general, not necessarily reversible case the analysis, started in part I of this work, of the first exit problem from a general domainQ containing many stable equilibria (attracting equilibrium points for the β=∞ dynamics). In particular we describe the tube of typical trajectories during the first excursion outsideQ.

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References

  1. D. Chen, J. Feng, and M. Qian, The metastability of exponentally perturbed Markov chains,Chinese Sci. A 25(6):590–595 (1995).

    Google Scholar 

  2. T. S. Chiang and Y. Chow, A limit theorem for a class of inhomogeneous Markov processes,Ann. Prob. 17:1483–1502 (1989).

    Google Scholar 

  3. T. S. Chiang and Y. Chow, On the exit problem from a cycle of simulated annealing processes with application—A backward equation approach, Tech. Rept. Inst. Math. Academia Sinica (1995).

  4. T. S. Chiang and Y. Chow, Asymptotic behavior of eigenvalues and random updating schemes,Appl. Math. Optim. 28:259–275 (1993).

    Google Scholar 

  5. M. I. Freidlin and A. D. Wentzell,Random Perturbations of Dynamical Systems, (Springer-Verlag, Berlin, 1984).

    Google Scholar 

  6. C. R. Hwang and S. J. Sheu, Singular perturbed Markov chains and exact behaviors of simulated annealing process,J. Theor. Prob. 5:223–249 (1992).

    Google Scholar 

  7. R. Kotecky and E. Olivieri, Droplet dynamics for asymmetric Ising model, preprint (1992).

  8. R. Kotecky and E. Olivieri, Shapes of growing droplets—A model of escape from a metastable phase, in preparation.

  9. E. J. Neves and R. H. Schonmann, Behaviour of droplets for a class of Glauber dynamics at very low temperatures,Commun. Math. Phys. 137:209 (1991).

    Google Scholar 

  10. E. J. Neves and R. H. Schonmann, Critical droplets and metastability for a Glauber dynamics at very low temperatures,Prob. Theory Related Fields 91:331 (1992).

    Google Scholar 

  11. E. Olivieri and E. Scoppola, Markov chains with exponentially small transition probabilities: First exit problem from a general domain—I. The reversible case, preprint.

  12. E. Scoppola, Renormalization group for Markov chains and application to metastability,J. Stat. Phys. 73:83 (1993).

    Google Scholar 

  13. E. Scoppola, Renormalization and graph methods for Markov chains, inProceedings of the Conference “Advances in Dynamical Systems and Quantum Physics”—Capri 1993, in press.

  14. A. Touvé, Cycle decompositions and simulated annealing, preprint LMENS-94.

  15. A. Touvé, Rough large deviation estimates for the optimal convergence speed exponent of generalized simulated annealing algorithms,Ann. Inst. H. Poincaré (1995).

  16. O. Catoni, Rough large deviation estimates for simulated annealing. Application to exponential schedules,Ann. Prob. 20:1109–1146 (1992).

    Google Scholar 

  17. R. Z. Has'minskii,Stochastic Stability of Differential Equations (Sijthoff and Noordhoff, 1980).

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Olivieri, E., Scoppola, E. Markov chains with exponentially small transition probabilities: First exit problem from a general domain. II. The general case. J Stat Phys 84, 987–1041 (1996). https://doi.org/10.1007/BF02174126

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  • DOI: https://doi.org/10.1007/BF02174126

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