Mean First Passage Time in Periodic Attractors
arXiv:math-ph/0603042 · doi:10.1088/0305-4470/39/27/004
Abstract
The properties of the mean first passage time in a system characterized by multiple periodic attractors are studied. Using a transformation from a high dimensional space to 1D, the problem is reduced to a stochastic process along the path from the fixed point attractor to a saddle point located between two neighboring attractors. It is found that the time to switch between attractors depends on the effective size of the attractors, , the noise, , and the potential difference between the attractor and an adjacent saddle point as: ; the ratio between the sizes of the two attractors affects . The result is obtained analytically for small and confirmed by numerical simulations. Possible implications that may arise from the model and results are discussed.
14 pages, 3 figures, submitted to journal of physics A
References in corpus (4)
- Understanding Mechanochemical Coupling in Kinesins Using First-Passage Time Processes
- Ring structures and mean first passage time in networks
- Mean first passage time analysis reveals rate-limiting steps, parallel pathways and dead ends in a simple model of protein folding
- Noisy time series generation by feed-forward networks