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Power fluctuations in stochastic models of dissipative systems

Jean Farago

Physica A: Statistical Mechanics and its Applications, 2004, vol. 331, issue 1, 69-89

Abstract: We consider different models of stochastic dissipative equations and theoretically compute the probability distribution functions (actually the associated large deviation functions) of the time averaged injected power required to sustain a nontrivial stationary state. We discuss the results and in particular draw from our results some general features shared by these distributions in realistic dissipative systems.

Keywords: Fluctuation phenomena; Random processes; Noise; Brownian motion; Probability theory; Stochastic processes; Statistics (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:331:y:2004:i:1:p:69-89

DOI: 10.1016/j.physa.2003.09.006

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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