Abstract
A method for estimating the dynamical statistical properties of the solutions of nonlinear Langevin-type stochastic differential equations is presented. The non-linear equation is linearized within a small interval of the independent variable and statistical properties are expressed analytically within the interval. The linearization procedure is optimal in the sense of the Chebyshev inequality. Long-term behavior of the solution process is obtained by appropriately matching the approximate solutions at the boundaries between intervals. The method is applied to a model nonlinear equation for which the exact time-dependent moments can be obtained by numerical methods. The calculations demonstrate that the method represents a significant improvement over the method of statistical linearization in time regimes far from equilibrium.
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Supported in part by the National Science Foundation under Grants CHE77-16307 and PHY76-04761.
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Eaves, J.O., Reinhardt, W.P. Piecewise optimal linearization method for nonlinear stochastic differential equations. J Stat Phys 25, 127–141 (1981). https://doi.org/10.1007/BF01008482
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DOI: https://doi.org/10.1007/BF01008482