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The stretch to stray on time: resonant length of random walks in a transient

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Item Type:Article
Title:The stretch to stray on time: resonant length of random walks in a transient
Creators Name:Falcke, M. and Friedhoff, V.N.
Abstract:First-passage times in random walks have a vast number of diverse applications in physics, chemistry, biology, and finance. In general, environmental conditions for a stochastic process are not constant on the time scale of the average first-passage time or control might be applied to reduce noise. We investigate moments of the first-passage time distribution under an exponential transient describing relaxation of environmental conditions. We solve the Laplace-transformed (generalized) master equation analytically using a novel method that is applicable to general state schemes. The first-passage time from one end to the other of a linear chain of states is our application for the solutions. The dependence of its average on the relaxation rate obeys a power law for slow transients. The exponent ν depends on the chain length N like ν=-N/(N+1) to leading order. Slow transients substantially reduce the noise of first-passage times expressed as the coefficient of variation (CV), even if the average first-passage time is much longer than the transient. The CV has a pronounced minimum for some lengths, which we call resonant lengths. These results also suggest a simple and efficient noise control strategy and are closely related to the timing of repetitive excitations, coherence resonance, and information transmission by noisy excitable systems. A resonant number of steps from the inhibited state to the excitation threshold and slow recovery from negative feedback provide optimal timing noise reduction and information transmission.
Source:Chaos
ISSN:1054-1500
Publisher:American Institute of Physics (U.S.A.)
Volume:28
Number:5
Page Range:053117
Date:23 May 2018
Official Publication:https://doi.org/10.1063/1.5023164
PubMed:View item in PubMed
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https://edoc.mdc-berlin.de/17561/Preprint version

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