Stochastic Representation of Nearly-Gaussian, Nonlinear Processes.
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A detailed discussion illustrating the potential of the stochastic representation in statistical physics problems. The use of polynomial functionals of the white noise process is shown for the treatment of certain nonlinear random processes. It is noted that such treatments are useful for nearly-Gaussian processes. Applications of the stochastic representation are reviewed for nonlinear systems and for nonlinear fluid mechanics problems dealing with turbulence. 27 pp. Refs. (KB)
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