First exit times of solutions of non-linear stochastic differential equations driven by symmetric Levy processes with alpha-stable components
| dc.creator | Imkeller, Peter | |
| dc.creator | Pavlyukevich, Ilya | |
| dc.date | 2004-09-15 | |
| dc.date | 2006-01-31 | |
| dc.date.accessioned | 2026-07-07T06:38:48Z | |
| dc.date.available | 2026-07-07T06:38:48Z | |
| dc.description | We study the exit problem of solutions of the stochastic differential equation dX(t)=-U'(X(t))dt+epsilon dL(t) from bounded or unbounded intervals which contain the unique asymptotically stable critical point of the deterministic dynamical system dY=-U'(Y) dt. The process L is composed of a standard Brownian motion and a symmetric alpha-stable Levy process. Using probabilistic estimates we show that in the small noise limit epsilon->0, the exit time of X from an interval is an exponentially distributed random variable and determine its expected value. Due to the heavy-tail nature of the alpha-stable component of L, the results differ strongly from the well known case in which the deterministic dynamical system undergoes purely Gaussian perturbations. | |
| dc.description | Slightly revised version. To appear in Stochastic Processes and their Applications. 24 pages, 2 figures | |
| dc.identifier | https://arxiv.org/abs/math/0409246 | |
| dc.identifier | http://arxiv.org/abs/math/0409246 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/100865 | |
| dc.subject | Probability | |
| dc.subject | Dynamical Systems | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | 60E07, 60F10, 60G40, 60G51, 60G52 60H10, 60J75, 60K40, 86A17 | |
| dc.title | First exit times of solutions of non-linear stochastic differential equations driven by symmetric Levy processes with alpha-stable components | |
| dc.type | text |