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Transition probability density of a certain diffusion process concentrated on a finite spatial interval
Part of:
Markov processes
Published online by Cambridge University Press: 14 July 2016
Abstract
We show that under some assumptions a diffusion process satisfying a one-dimensional Itô's equation has a transition probability density concentrated on a finite spatial interval. We give a formula for this density.
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- Copyright © Applied Probability Trust 1992
References
[1]
Ethier, S. N. and Kurtz, T. G. (1986) Markov Processes, Characterization and Convergence.
Wiley, New York.CrossRefGoogle Scholar
[2]
Feller, W. (1966) An Introduction to Probability Theory and its Applications, Vol. II. Wiley, New York.Google Scholar
[3]
Gihman, I. I, and Skorohod, A. V. (1972) Stochastic Differential Equations. Springer-Verlag, Berlin.CrossRefGoogle Scholar
[4]
Giorno, V., Nobile, A. G. and Ricciardi, L. M. (1989) A symmetry-based constructive approach to probability densities for one-dimensional diffusion processes. J. Appl. Prob.
27, 707–721.Google Scholar
[5]
Ikeda, N. and Watanabe, S. (1981) Stochastic Differential Equations and Diffusion Processes. North-Holland, Amsterdam.Google Scholar
[6]
Nobile, A. G. and Ricciardi, L. M. (1984) Growth with regulation in fluctuating environments. I. Alternative logistic like diffusion models. Biol. Cybernet. 49, 179–188.Google Scholar
[7]
Nobile, A. G. and Ricciardi, L. M. (1984) Growth with regulation in fluctuating environments. II. Intrinsic lower bounds to population size. Biol. Cybernet. 50, 285–299.Google Scholar