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Limit theorems for Markov random walks with a fixed number of certain transitions

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Abstract

The limit behavior of Markov chains with discrete time and a finite number of states (MCDT) depending on the number n of its steps has been almost completely investigated [1–4]. In [5], MCDT with forbidden transitions were investigated, and in [6], the sum of a random number of functionals of random variables related by a homogeneous Markov chain (HMC) was considered. In the present paper, we continue the investigation of the limit behavior of the MCDT with random stopping time which is determined by a Markov walk plan II with a fixed number of certain transitions [7, 8]. Here we apply a method similar to that of [6], which allows us to obtain, together with some generalizations of the results of [6], a number of new assertions.

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References

  1. A. N. Kolmogorov, “A local limit theorem for homogeneous Markov chains”,Sov. Math. Izv. 13 (1950).

  2. S. Kh. Sirazhdinov,Limit Theorems for Homogeneous Markov Chains [in Russian], Uzbek Acad. Sci. Press, Tashkent (19550.

    Google Scholar 

  3. S. V. Nagaev, “Some limit theorems for stationary Markov chains”,Theory Probab. Appl.,2, No. 4, 378–406 (1957).

    Google Scholar 

  4. V. A. Statulevicius, “Limit theorems for sums of Markov-dependent random variables”,Lith. Math. Sb.,9, No. 2 (1969).

    Google Scholar 

  5. Chung Kai Lai,Markov Chains with Stationary Transition Probabilities, Springer-Verlag, Berlin (1960).

    Google Scholar 

  6. S. Kh. Sirazhdinov and Sh. K. Formanov,Limit Theorems for Sums of Markov Dependent Random Vectors [in Russian], Fan, Tashkent (1979).

    Google Scholar 

  7. V. V. Chichagov, “Asymptotic behavior of the first passage time in the scheme of Markov random walks”,J. Sov. Math.,39, No. 4 (1987).

    Google Scholar 

  8. V. V. Chichagov, “Asymptotic behavior of the first passage time for one family of Markov random walks”, in:Stochastic Processes Application [in Russian], MIEM, Moscow (1984).

    Google Scholar 

  9. M. Marcus and H. Minc,A Survey of Matrix Theory and Matrix Inequalities, Allyn and Bacon, Boston (1964).

    Google Scholar 

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Translated fromStatisticheskie Metody Otsenivaniya i Proverki Gipotez, pp. 119–130, Perm, 1990.

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Chichagov, V.V. Limit theorems for Markov random walks with a fixed number of certain transitions. J Math Sci 75, 1461–1468 (1995). https://doi.org/10.1007/BF02362560

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