Analytical Survival Analysis of the Ornstein–Uhlenbeck Process
- 1. Nordita, Royal Institute of Technology and Stockholm University (Sweden)
- 2. Stockholm University. Department of Mathematics (Sweden)
- 3. Yale University (United States)
Description
We use asymptotic methods from the theory of differential equations to obtain an analytical expression for the survival probability of an Ornstein–Uhlenbeck process with a potential defined over a broad domain. We form a uniformly continuous analytical solution covering the entire domain by asymptotically matching approximate solutions in an interior region, centered around the origin, to those in boundary layers, near the lateral boundaries of the domain. The analytic solution agrees extremely well with the numerical solution and takes into account the non-negligible leakage of probability that occurs at short times when the stochastic process begins close to one of the boundaries. Given the range of applications of Ornstein–Uhlenbeck processes, the analytic solution is of broad relevance across many fields of natural and engineering science.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Statistical Physics
- Journal Volume
- 181
- Journal Issue
- 6
- Journal Page Range
- p. 2404-2414
- ISSN
- 0022-4715
- CODEN
- JSTPBS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55090201
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ANALYTICAL SOLUTION; APPROXIMATIONS; ASYMPTOTIC SOLUTIONS; BOUNDARY LAYERS; CONTINUED FRACTIONS; DIFFERENTIAL EQUATIONS; ENGINEERING; EVOLUTION EQUATIONS; INTEGRAL EQUATIONS; LEAKS; MATHEMATICAL EVOLUTION; NUMERICAL SOLUTION; PARTIAL DIFFERENTIAL EQUATIONS; PROBABILITY; STOCHASTIC PROCESSES
- Descriptors DEC
- CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; EVOLUTION; LAYERS; MATHEMATICAL SOLUTIONS
Optional Information
- Copyright
- Copyright (c) 2020 © The Author(s) 2020