One-loop real-time density correlations in causal diffusion reduce to known acausal results in the overdamped limit and yield a new universal scaling function in the underdamped limit.
Non-Gaussianity from Schwinger-Keldysh Effective Field Theory
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abstract
We present a systematic treatment of non-Gaussianity in stochastic systems using the Schwinger-Keldysh effective field theory framework, in which the non-Gaussianity is realized as nonlinear terms in the fluctuation field. We establish two stochastic formulations of the Schwinger-Keldysh effective field theory, with those nonlinear terms manifested as multiple non-Gaussian noises in the Langevin equation and as higher order diffusive terms in the Fokker-Planck equation. The equivalence of the stochastic formulations with the original Schwinger-Keldysh effective field theory is demonstrated with non-trivial examples for arbitrary non-Gaussian parameters. The stochastic formulations will be more flexible and effective in studying non-equilibrium dynamics. We also reveal an ambiguity when coarse-graining time scale and non-Gaussian parameters vanish simultaneously, which may be responsible for the unphysical divergence found in perturbative analysis.
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Comparison between Causal and Acausal Diffusion: a Schwinger-Keldysh Effective Field Theory Perspective
One-loop real-time density correlations in causal diffusion reduce to known acausal results in the overdamped limit and yield a new universal scaling function in the underdamped limit.