Canonical phase space approach to the noisy Burgers equation
classification
❄️ cond-mat.stat-mech
cond-mat.soft
keywords
distributionequationapproachburgersderivediscussmodelnoisy
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Presenting a general phase approach to stochastic processes we analyze in particular the Fokker-Planck equation for the noisy Burgers equation and discuss the time dependent and stationary probability distributions. In one dimension we derive the long-time skew distribution approaching the symmetric stationary Gaussian distribution. In the short time regime we discuss heuristically the nonlinear soliton contributions and derive an expression for the distribution in accordance with the directed polymer-replica model and asymmetric exclusion model results.
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