
We consider non-linear stochastic field equations such as the KPZ equation for deposition and the noise driven Navier-Stokes equation for hydrodynamics. We focus on the Fourier transform of the time dependent two point field correlation, $��_{\bf{k}}(t)$. We employ a Lagrangian method aimed at obtaining the distribution function of the possible histories of the system in a way that fits naturally with our previous work on the static distribution. Our main result is a non-linear integro-differential equation for $��_{\bf{k}}(t)$, which is derived from a Peierls-Boltzmann type transport equation for its Fourier transform in time $��_{\bf{k}, ��}$. That transport equation is a natural extension of the steady state transport equation, we previously derived for $��_{\bf{k}}(0)$. We find a new and remarkable result which applies to all the non-linear systems studied here. The long time decay of $��_{\bf{k}}(t)$ is described by $��_{\bf{k}}(t) \sim \exp(-a|{\bf k}|t^��)$, where $a$ is a constant and $��$ is system dependent.
67 pages, 2 figures, corrected version
Stochastic methods applied to problems in equilibrium statistical mechanics, Statistical Mechanics (cond-mat.stat-mech), time dependent two-point correlation function, Fourier transform, FOS: Physical sciences, Applications of stochastic analysis (to PDEs, etc.), Condensed Matter - Statistical Mechanics, history distribution function
Stochastic methods applied to problems in equilibrium statistical mechanics, Statistical Mechanics (cond-mat.stat-mech), time dependent two-point correlation function, Fourier transform, FOS: Physical sciences, Applications of stochastic analysis (to PDEs, etc.), Condensed Matter - Statistical Mechanics, history distribution function
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