Numerical simulations versus theoretical predictions for a non-Gaussian noise induced escape problem in application to full counting statistics
arXiv:1402.6226 · doi:10.1103/PhysRevB.89.085419
Abstract
A theoretical approach for characterising the influence of asymmetry of noise distribution on the escape rate of a multi-stable system is presented. This was carried out via the estimation of an action, which is defined as an exponential factor in the escape rate, and discussed in the context of full counting statistics paradigm. The approach takes into account all cumulants of the noise distribution and demonstrates an excellent agreement with the results of numerical simulations. An approximation of the third order cumulant was shown to have limitations on the range of dynamic stochastic system parameters. The applicability of the theoretical approaches developed so far is discussed for an adequate characterisation of the escape rate measured in experiments.
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