Abstract
We consider decay properties including the decay parameter, invariant measures, invariant vectors, and quasistationary distributions for n-type Markov branching processes on the basis of the 1-type Markov branching processes and 2-type Markov branching processes. Investigating such behavior is crucial in realizing life period of branching models. In this paper, some important properties of the generating functions for n-type Markov branching q-matrix are firstly investigated in detail. The exact value of the decay parameter λ C of such model is given for the communicating class C = ℤ n+ \ 0. It is shown that this λ C can be directly obtained from the generating functions of the corresponding q-matrix. Moreover, the λ C -invariant measures/vectors and quasidistributions of such processes are deeply considered. λ C -invariant measures and quasi-stationary distributions for the process on C are presented.
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References
Anderson W. Continuous-Time Markov Chains: An Applications-Oriented Approach. New York: Springer-Verlag, 1991
Athreya K B, Ney P E. Branching Processes. Berlin: Springer, 1972
van Doorn E A. Conditions for exponential ergodicity and bounds for the decay parameter of a birth-death process. Adv Appl Probab, 1985, 17: 514–530
van Doorn E A. Quasi-stationary distributions and convergence to quasi-stationarity of birth-death processes. Adv Appl Probab, 1991, 23: 683–700
Darroch J N, Seneta E. On quasi-stationary distributions in absorbing continuous-time finite Markov chains. J Appl Probab, 1967, 245: 192–196
Flaspohler D C. Quasi-stationary distributions for absorbing continuous-time denumerable Markov chains. Ann Inst Statist Math, 1974, 26: 351–356
Harris T E. The Theory of Branching Processes. Berlin-New York: Springer, 1963
Kelly F P. Invariant measures and the generator. In: Kingman J F C, Reuter G E, eds. Probability, Statistics, and Analysis. London Math Soc. Lecture Notes Series 79. Cambridge: Cambridge University Press, 1983, 143–160
Kijima M. Quasi-limiting distributions of Markov chains that are skip-free to the left in continuous-time. J Appl Probab, 1963, 30: 509–517
Kingman J F C. The exponential decay of Markov transition probability. Proc London Math Soc, 1963, 13: 337–358
Li J P. Decay parameter and related properties of 2-type branching processes. Sci China Ser A, 2009, 52: 875–894
Nair M G, Pollett P K. On the relationship between µ-invariant measures and quasi-stationary distributions for continuous-time Markov chains. Adv Appl Probab, 1993, 25: 82–102
Pollett P K. On the equivalence of µ-invariant measures for the minimal process and its q-matrix. Stochastic Process Appl, 1986, 22: 203–221
Pollett P K. Reversibility, invariance and µ-invariance. Adv Appl Probab, 1988, 20: 600–621
Pollett P K. The determeination of quasi-instationary distribution directly from the transition rates of an absorbing Markov chain. Math Comput Modelling, 1995, 22: 279–287
Pollett P K. Quasi-stationary distributions for continuous time Markov chains when absorption is not certain. J Appl Probab, 1999, 36: 268–272
Tweedie R L. Some ergodic properties of the Feller minimal process. Quart J Math Oxford, 1974, 25: 485–493
Vere-Jones D. Geometric ergidicity in denumerable Markov chains. Quart J Math Oxford, 1962, 13: 7–28
Yaglom A M. Certain limit theorems of the theory of branching processes. Dokl Acad Nauk SSSR, 1947, 56: 795–798
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Li, J., Wang, J. Decay parameter and related properties of n-type branching processes. Sci. China Math. 55, 2535–2556 (2012). https://doi.org/10.1007/s11425-012-4466-z
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DOI: https://doi.org/10.1007/s11425-012-4466-z
Keywords
- n-type Markov branching process
- decay parameter
- invariant measures
- invariant vectors
- quasistationary distributions