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Conditional limit theorems for a left-continuous random walk

Published online by Cambridge University Press:  14 July 2016

A. G. Pakes*
Affiliation:
Monash University

Abstract

The present work considers a left-continuous random walk moving on the positive integers and having an absorbing state at the origin. Limit theorems are derived for the position of the walk at time n given: (a) absorption does not occur until after n, or (b) absorption does not occur until after m + n where m is very large, or (c) absorption occurs at m + n. A limit theorem is given for an R-positive recurrent Markov chain on the non-negative integers with an absorbing origin and subject to condition (c) above.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1973 

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References

[1] Belkin, B. (1970) A limit theorem for conditioned recurrent random walk attracted to a stable law. Ann. Math. Statist. 41, 146163.Google Scholar
[2] Brockwell, P. J. and Gani, J. (1970) A population process with Markovian progenies. J. Math. Anal. Appl. 32, 264273.Google Scholar
[3] Daley, D. J. (1969) Quasi-stationary behaviour of a left-continuous random walk. Ann. Math. Statist. 40, 532539.Google Scholar
[4] Dwass, M. (1969) The total progeny in a branching process and a related random walk. J. Appl. Prob. 6, 682686.Google Scholar
[5] Feller, W. (1971) An Introduction to Probability Theory and its Applications. Vol. II, 2nd ed. Wiley, New York.Google Scholar
[6] Gnedenko, B. V. and Kolmogorov, A. N. (1954) Limit Distributions for Sums of Independent Random Variables. Addison-Wesley, Reading, Mass.Google Scholar
[7] Harris, T. E. (1963) The Theory of Branching Processes. Springer-Verlag, Berlin.Google Scholar
[8] Johnson, N. L. and Kotz, S. (1970) Continuous Univariate Distributions - I. Houghton-Mifflin, Boston, Mass.Google Scholar
[9] Kemeny, J. G. (1959) A probability limit theorem requiring no moments. Proc. Amer Math. Soc. 10, 607612.Google Scholar
[10] Lukacs, E. (1970) Characteristic Functions. 2nd ed. Griffin, London.Google Scholar
[11] Pakes, A. G. (1971) Some results for the supercritical branching process with immigration. Math. Biosci. 11, 355363.Google Scholar
[12] Roberts, G. E. and Kaufman, H. (1966) Tables of Laplace Transforms. Saunders, Philadelphia, Penn.Google Scholar
[13] Seneta, E. (1969) Functional equations and the Galton-Watson process. Adv. Appl. Prob. 1, 142.Google Scholar
[14] Seneta, E. and Vere-Jones, D. (1966) On quasi-stationary distributions in discrete time Markov chains with a denumerable infinity of states. J. Appl. Prob. 3, 403434.Google Scholar
[15] Stone, C. (1967) On local and ratio limit theorems. Proc. Fifth Berkeley Symp. Math. Stat. Prob. 2(2), 217224.Google Scholar
[16] Viskov, O. V. (1970) Some comments on branching processes. Matem. Zametki. 8, 409418.Google Scholar
[17] Pakes, A. G. (1972) Limit theorems for an age-dependent branching process with immigration. Math. Biosci. 14, 221234.Google Scholar