2012
DOI: 10.1103/physreve.86.031145
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Large rare fluctuations in systems with delayed dissipation

Abstract: We study the probability distribution and the escape rate in systems with delayed dissipation that comes from the coupling to a thermal bath. To logarithmic accuracy in the fluctuation intensity, the problem is reduced to a variational problem. It describes the most probable fluctuational paths, which are given by acausal equations due to the delay. In thermal equilibrium, the most probable path passing through a remote state has time-reversal symmetry, even though one cannot uniquely define a path that starts… Show more

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Cited by 8 publications
(11 citation statements)
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References 66 publications
(172 reference statements)
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“…In particular, second-order corrections to the switching rate were obtained earlier for an underdamped system with distributed delay [38], where the first-order correction is zero.…”
Section: B Perturbation Theorymentioning
confidence: 76%
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“…In particular, second-order corrections to the switching rate were obtained earlier for an underdamped system with distributed delay [38], where the first-order correction is zero.…”
Section: B Perturbation Theorymentioning
confidence: 76%
“…This includes the possibility of developing a perturbation theory in the delay. It turns out that, because of the difference in the character of the delay, the predictions of the perturbation theory we develop here are qualitatively different from those in systems studied earlier [38]. We also consider the problem of the extinction rate in the presence of delay, which requires a significant extension of both the analytical theory and the Monte Carlo simulation technique, as it is necessary to consider large rare fluctuations induced by a singular multiplicative noise.…”
Section: Introductionmentioning
confidence: 87%
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“…More recently, however, the complex situation of several and random time delays has been researched [35][36][37]. Another important case is that of distributed time delays, when the dynamics of the system depends on a continuous p-1 interval in its past instead of on a discrete instant [38][39][40].…”
mentioning
confidence: 99%