J. Appl. Prob. 21,695709 (1984) Printed in Israel @ Applied Probability Trust 1984 FIRST-PASSAGE TIME OF MARKOV PROCESSES TO MOVING BARRIERS HENRY C. TUCKWELL,* Monash University FREDERIC Y. M. WAN,** University of British Columbia Abstract The first-passage time of a Markov process to a moving barrier is considered as a first-exit time for a vector whose components include the process and the barrier. Thus when the barrier is itself a solution of a differential equation, the theory of first-exit times for multidimensional processes may be used to obtain differential equations for the moments and density of the first-passage time of the process to the barrier. The procedure is first illustrated for first-passage-time problems where the solutions are known. The mean first-passage time of an Ornstein-Uhlenbeck process to an exponentially decaying barrier is then found by numerical solution of a partial differential equation. Extensions of the method to problems involving Markov processes with discontinuous sample paths and to cases where the process is confined between two moving barriers are also discussed. EXIT TIMES; DIFFUSION PROCESS; NEURAL FIRING; ORNSTEIN-UHLENBECK PROCESS 1. Introduction The problem of determining the first-passage times to a moving barrier for diffusion and other Markov processes arises in biological modeling, in statistics and in engineering. In population genetics (see Ewens (1979)), if X(t) is the number of a certain kind of genes present at time t in a population with a total of N(t) genes, then the time at which X(t) first hits N(t) is the time of fixation of that gene in the population. In neurophysiology (Holden (1976)), if X(t) is the displacement of a nerve-cell voltage from its resting level and O(t) is the threshold voltage displacement, then the time at which X(t) first hits O(l) is the time at which an action potential is generated. In statistics the problem of determining the time of first passage of a Wiener process to certain moving Received 12 July 1983. * Postal address: Department of Mathematics, Monash University, Clayton, VIC 3168, Australia. ** Present address: Applied Mathematics Program, FS-20, University of Washington, Seattle, WA 98195, USA. Research partly supported by NSERC of Canada Operating-Grant No. A9259 and by U.S. NSF Grant No. MCS-8306592. 695