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A review of transient behavior in regular diffusion and birth-death processes

Published online by Cambridge University Press:  14 July 2016

J. Keilson*
Affiliation:
The University of Birmingham, Sylvania Electronic Systems, Waltham, Massachusetts

Extract

Our concern is with passage times and rate of approach to ergodicity for two types of temporally homogeneous processes, doubly bounded diffusion processes in one dimension, and birth-death processes on the finite lattice. The passage time problems associated with these processes are of considerable practical interest, but for many important cases, e.g., the Uhlenbeck-Ornstein process, only formal solutions such as Laplace transforms (cf. Darling and Siegert, 1953) have been given, with limited numerical potential.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

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References

[1] Bharucha-Reid, A.T. (1960) Elements of the Theory of Markov Processes and Their Applications. McGraw-Hill, New York.Google Scholar
[2] Courant, R. and Hilbert, D. (1953) Methods of Mathematical Physics. Interscience Publishers, New York.Google Scholar
[3] Darling, D.A. and Siegert, A.J.F. (1953) The first passage problem for a continuous Markov process. Ann. Math. Statist. 24, 624639.CrossRefGoogle Scholar
[4] Feller, W. (1951) Diffusion processes in genetics. Proc. Second Berkeley Symposium on Mathematical Statistics and Probability, 227246.Google Scholar
[5] Feller, W. (1952) The parabolic differential equations and the associated semi-groups of transformations. Ann. Math. 55, 468519.CrossRefGoogle Scholar
[6] Feller, W. (1959) The birth and death processes as diffusion processes. J. Math. Pures Appl. (9) 38, 301395.Google Scholar
[7] Karlin, S. and Mcgregor, J.L. (1957) The differential equations of birth-and-death processes and the Stieltjes moment problem. Trans. Amer. Math. Soc. 85, 489546.CrossRefGoogle Scholar
[8] Kemperman, J.H.B. (1962) An analytical approach to the differential equations of the birth and death process. Michigan Math. Journal 9, No. 4 CrossRefGoogle Scholar
[9] Kendall, D.G. (1959) Unitary dilations of Markov transition operators, and the corresponding integral representations for transition-probability matrices. Probability and Statistics (The Harald Cramér Volume) 139161. John Wiley, New-York.Google Scholar
[10] Kendall, D.G. (1959) Geometric ergodicity and the theory of queues. First Stanford Symposium in the Social Sciences, 176195.Google Scholar
[11] Kendall, D. G. (1959) Unitary dilations of one-parameter semigroups of Markov transition operators, and the corresponding integral representations for Markov processes with a countable infinity of states. Proc. London Math. Soc. (3) 9, 417431.CrossRefGoogle Scholar
[12] Ledermann, W. and Reuter, G. E. H. (1954) Spectral theory for the differential equations of simple birth and death processes. Philos. Trans. Roy. Soc. A 246, 321369.Google Scholar
[13] Mandl, P. (1964) über Die Asymptotischen Verteilungen Der Erst-Passage Zeiten, Transactions of the Third Prague Conference on Information Theory. Czechoslovak Academy of Sciences, Prague.Google Scholar
[14] Morse, P. M. and Feshbach, H. (1953) Methods of Theoretical Physics. McGraw-Hill, New York.Google Scholar
[15] Newell, G. F. (1962) Asymptotic extreme value distribution for one-dimensional diffusion processes. J. Math. Mech. 11, 481496.Google Scholar
[16] Sarmanov, ?. V. (1961) Investigation of stationary Markov processes by the method of eigenfunction expansion. (Russian) Trudy Mat. Inst. Steklov. 60, 238261. (See Mathematical Reviews 26, No. 2, August 1963).Google Scholar
[17] Siegert, A. J. F. (1951) On the first passage time probability problem, Phys. Rev. 81, 617623.CrossRefGoogle Scholar
[18] Thomas, J. B. and Wong, E. (1962) On polynomial expansions of second order distributions. J. Soc. Indust. Appl. Math. 10, 507516.Google Scholar
[19] Titchmarsh, E. C. (1962) Eigenfunction Expansions Associated with Second-order Differential Equations, Oxford University Press.CrossRefGoogle Scholar
[20] Whittaker, E. T. and Watson, G. N. (1945) A Course of Modern Analysis, Cambridge University Press.Google Scholar