Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-23T14:11:30.588Z Has data issue: false hasContentIssue false

On random motions with velocities alternating at Erlang-distributed random times

Published online by Cambridge University Press:  01 July 2016

Antonio Di Crescenzo*
Affiliation:
Università della Basilicata
*
Postal address: Dipartimento di Matematica, Università degli Studi della Basilicata, Loc. Macchia Romana, I-85100 Potenza, Italy. Email address: [email protected]

Abstract

We analyse a non-Markovian generalization of the telegrapher's random process. It consists of a stochastic process describing a motion on the real line characterized by two alternating velocities with opposite directions, where the random times separating consecutive reversals of direction perform an alternating renewal process. In the case of Erlang-distributed interrenewal times, explicit expressions of the transition densities are obtained in terms of a suitable two-index pseudo-Bessel function. Some results on the distribution of the maximum of the process are also disclosed.

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 2001 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Beghin, L., Nieddu, L. and Orsingher, E. (2001). Probabilistic analysis of the telegrapher's process with drift by means of relativistic transformations. J. Appl. Math. Stoch. Anal. 14, 1125.CrossRefGoogle Scholar
Ben Cheikh, Y. (1997). Decomposition of the Bessel functions with respect to the cyclic group of order n. Matematiche 52, 365378.Google Scholar
Bicout, D. J., Berezhkovskii, A. M. and Weiss, G. H. (1998). Turnover in the mean survival time for a particle moving between 2 traps. Phys. A 256, 342350.CrossRefGoogle Scholar
Cesarano, C. and Di Crescenzo, A. (2001). Pseudo-Bessel functions in the description of random motions. In Proc. Workshop Advanced Special Functions and Integration Methods, Melfi, 18–23 June 2000, eds. Dattoli, G., Srivastava, H. M. and Cesarano, C.. Aracne, Rome, pp. 221226.Google Scholar
Di Crescenzo, A. (1999). A probabilistic analogue of the mean value theorem and its applications to reliability theory. J. Appl. Prob. 36, 706719.Google Scholar
Di Crescenzo, A. (2001). Exact transient analysis of a planar random motion with three directions. To appear in Stoch. Stoch. Rep.Google Scholar
Di Crescenzo, A. and Pellerey, F. (2000). Stochastic comparison of wear processes characterized by random linear wear rates. In 2nd Internat. Conf. Math. Methods Reliability Abstracts' Book, Vol. 1, eds Nikulin, M. and Limnios, N.. Université Victor Segalen, Bordeaux, pp. 339342.Google Scholar
Di Crescenzo, A. and Pellerey, F. (2001). On prices' evolutions based on alternating random processes. Submitted.Google Scholar
Foong, S. K. (1992). First-passage time, maximum displacement, and Kac's solution of the telegrapher equation. Phys. Rev. A 46, R707R710.CrossRefGoogle ScholarPubMed
Foong, S. K. and Kanno, S. (1994). Properties of the telegrapher's random process with or without a trap. Stoch. Proc. Appl. 53, 147173.Google Scholar
Goldstein, S. (1951). On diffusion by discontinuous movements and the telegraph equation. Quart. J. Mech. Appl. Math. 4, 129156.Google Scholar
Kac, M. (1974). A stochastic model related to the telegrapher's equation. Rocky Mountain J. Math. 4, 497509.CrossRefGoogle Scholar
Kolesnik, A. (1998). The equations of Markovian random evolution on the line. J. Appl. Prob. 35, 2735.Google Scholar
Masoliver, J. and Weiss, G. H. (1992). First passage times for a generalized telegrapher's equation. Phys. A 183, 537548.Google Scholar
Masoliver, J. and Weiss, G. H. (1993). On the maximum displacement of a one-dimensional diffusion process described by the telegrapher's equation. Phys. A 195, 93100.Google Scholar
Masoliver, J., Lindenberg, K. and Weiss, G. H. (1989). A continuous-time generalization of the persistent random walk. Phys. A 157, 891898.CrossRefGoogle Scholar
Orsingher, E. (1990). Probability law, flow function, maximum distribution of wave-governed random motions and their connections with Kirchhoff's laws. Stoch. Proc. Appl. 34, 4966.CrossRefGoogle Scholar
Orsingher, E. (1990). Random motions governed by third-order equations. Adv. Appl. Prob. 22, 915928.Google Scholar
Orsingher, E. (1995). Motions with reflecting and absorbing barriers driven by the telegraph equation. Random Operat. Stoch. Equat. 3, 921.Google Scholar
Orsingher, E. and Bassan, B. (1992). On a 2n-valued telegraph signal and the related integrated process. Stoch. Stoch. Rep. 38, 159173.CrossRefGoogle Scholar
Shaked, M. and Shanthikumar, J. G. (1990). Reliability and maintainability. In Stochastic Models (Handbook in Operat. Res. Management Sci. 2), eds Heyman, D. P. and Sobel, M. J.. North-Holland, Amsterdam, pp. 653713.Google Scholar