Analytical Survival Analysis of the Non-autonomous Ornstein–Uhlenbeck Process

Abstract The survival probability for a periodic non-autonomous Ornstein–Uhlenbeck process is calculated analytically using two different methods. The first uses an asymptotic approach. We treat the associated Kolmogorov Backward Equation with an absorbing boundary by dividing the domain into an interior region, centered around the origin, and a “boundary layer” near the absorbing boundary. In each region we determine the leading-order analytical solutions, and construct a uniformly valid solution over the entire domain using asymptotic matching. In the second method we examine the integral relationship between the probability density function and the mean first passage time probability density function. These allow us to determine approximate analytical forms for the exit rate. The validity of the solutions derived from both methods is assessed numerically, and we find the asymptotic method to be superior.

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Publication Details

Journal
Journal of Statistical Physics
Published
2024-10-22
DOI
https://doi.org/10.1007/s10955-024-03355-z
Citations
3
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
2.13

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article

Analytical Survival Analysis of the Non-autonomous Ornstein–Uhlenbeck Process

J. S. Wettlaufer, L. T. Giorgini, Woosok Moon
3 citations
Journal of Statistical Physics
Statistical Distribution Estimation and Applications
2.13
article

Analytical Survival Analysis of the Non-autonomous Ornstein–Uhlenbeck Process

J. S. Wettlaufer, L. T. Giorgini, Woosok Moon
article en
3 citations

Abstract

Abstract The survival probability for a periodic non-autonomous Ornstein–Uhlenbeck process is calculated analytically using two different methods. The first uses an asymptotic approach. We treat the associated Kolmogorov Backward Equation with an absorbing boundary by dividing the domain into an interior region, centered around the origin, and a “boundary layer” near the absorbing boundary. In each region we determine the leading-order analytical solutions, and construct a uniformly valid solution over the entire domain using asymptotic matching. In the second method we examine the integral relationship between the probability density function and the mean first passage time probability density function. These allow us to determine approximate analytical forms for the exit rate. The validity of the solutions derived from both methods is assessed numerically, and we find the asymptotic method to be superior.

Journal of Statistical PhysicsVol. 191(10)
Stockholm University (SE), Yale University (US), KTH Royal Institute of Technology (SE), Pukyong National University (KR)
Vetenskapsrådet, Stockholms Universitet
Openalex Percentile: Top 12%
Statistical Distribution Estimation and Applications
2.13
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Analytical Survival Analysis of the Non-autonomous Ornstein–Uhlenbeck Process — J. S. Wettlaufer, L. T. Giorgini, et al. · Journal of Statistical Physics (2024) | TGRS Research Map | TGRS