Power fluctuations in stochastic models of dissipative systems
Jean Farago (LCP)

TL;DR
This paper analyzes stochastic dissipative models to compute the probability distributions of power fluctuations, revealing common features in these distributions for realistic dissipative systems.
Contribution
It provides theoretical calculations of large deviation functions for power in stochastic dissipative models, highlighting shared characteristics across different systems.
Findings
Derived large deviation functions for power distribution
Identified common features in power fluctuation distributions
Enhanced understanding of power dynamics in dissipative systems
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.
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Taxonomy
Topicsstochastic dynamics and bifurcation · Advanced Thermodynamics and Statistical Mechanics · Stochastic processes and financial applications
