Skip to main content
×
×
Home

Solutions for some diffusion processes with two barriers

  • A. L. Sweet (a1) and J. C. Hardin (a2)
Extract

Use is often made of the Wiener and Ornstein-Uhlenbeck (O.U.) processes in various applications of stochastic processes to problems of engineering interest. These applications frequently involve the presence of barriers. Although mathematical methods for solving Kolmogorov's forward equation for the above processes have previously been discussed ([1], [2]), many solutions for problems with two barriers do not seem to be available in the literature. Instead, one finds solutions for unrestricted processes or simulation used in place of analytical solutions in various applications ([3], [4], [5]). In this paper, solutions of Kolmogorov's forward equations in the presence of constant absorbing and/or reflecting barriers are obtained by means of separation of variables. This enables one to obtain expressions for the probability density functions for first passage times when absorbing barriers are present. The solution for the O.U. process is used to obtain a result of Breiman's [6] concerning first passage times.

Copyright
References
Hide All
[1] Bharucha-Reid, A. T. (1960) Elements of the Theory of Markov Processes and Their Applications. McGraw–Hill, New York. 139142.
[2] Cox, D. R. and Miller, H. D. (1965) The Theory of Stochastic Processes. J. Wiley and Sons, New York. Chapter 5.
[3] Hinze, J. O. (1959) Turbulence. McGraw-Hill, New York. Chapter 5.
[4] Savas, E. L. (1967) Computers in urban air pollution control systems. Socio-Economic Planning Sciences 1, 157183.
[5] Bugliarello, G. and Jackson, E. D. (1964) Random walk study of convective diffusion. J. Eng. Mech. Div., A.S.C.E. 90, 4977.
[6] Breiman, L., (1967) First exit times from a square root boundary. Proc. Fifth Berk. Symp. on Math. Statist. and Prob. 2, 916.
[7] Chandrasekhar, S. (1943) Stochastic problems in physics and astronomy. Rev. Modern Phys. 15, 189.
[8] Gaver, D. P. (1968) Diffusion approximations and models for certain congestion problems. J. Appl. Prob. 5, 607623.
[9] Hardin, J. C. (1969) A Stochastic Model of Turbulent Channel Flow. Ph. D. Thesis, Purdue University.
[10] Smith, M., Editor (1968) Recommended Guide for the Prediction of the Dispersion of Airborne Effluents. Amer. Soc. Mech. Eng. 47.
[11] Carslaw, H. S. and Jaegar, J. C. (1947) Conduction of Heat in Solids. Clarendon Press, Oxford.
[12] Coddington, E. A. and Levinson, N. (1955) Theory of Ordinary Differential Equations. McGraw-Hill, New York. Chapter 7.
[13] Morse, P. M. and Feshbach, H. (1953) Methods of Theoretical Physics. McGraw-Hill, New York. Chapter 6.
[14] Pierce, B. O. (1929) A Short Table of Integrals. Ginn and Co., New York. 64.
[15] Crank, J. (1956) The Mathematics of Diffusion. Clarendon Press, Oxford.
[16] Uhlenbeck, G. E. and Ornstein, L. S. (1930) On the theory of Brownian motion. Phys. Rev. 36, 823841.
[17] Darling, D. A. and Siegert, A. J. E. (1953) The first passage problem for a continuous Markov process. Ann. Math. Statist. 24, 624639.
[18] Whittaker, E. T. and Watson, G. N. (1952) A Course of Modern Analysis. Cambridge University Press, 347.
[19] Abramowitz, M. and Stegun, I. A. (1964) Handbook of Mathematical Functions. Nat. Bur. Stand. Appl. Math. Series No. 55, 504.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Journal of Applied Probability
  • ISSN: 0021-9002
  • EISSN: 1475-6072
  • URL: /core/journals/journal-of-applied-probability
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 8 *
Loading metrics...

Abstract views

Total abstract views: 121 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 12th June 2018. This data will be updated every 24 hours.