Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 1996 · 582 citations · 11 references
Natural SciencesPhysicsDifferential EquationsScientific ComputingStochastic ProcessesNumerical Methods For Differential EquationsSimulation MethodsSimulation ModelingStochastic Differential EquationsTime IntegrationTime-dependent TransportBrownian Motion AnalysisLangevin DynamicsLangevin EquationsNumerical Methods For Stochastic Differential EquationsNumerical SimulationOrnstein-uhlenbeck ModelsOrnstein-uhlenbeck ProcessesSimulation Of Diffusion Processes
A numerical simulation algorithm that is exact for any time step \ensuremath{\Delta}t>0 is derived for the Ornstein-Uhlenbeck process X(t) and its time integral Y(t). The algorithm allows one to make efficient, unapproximated simulations of, for instance, the velocity and position components of a particle undergoing Brownian motion, and the electric current and transported charge in a simple R-L circuit, provided appropriate values are assigned to the Ornstein-Uhlenbeck relaxation time \ensuremath{\tau} and diffusion constant c. A simple Taylor expansion in \ensuremath{\Delta}t of the exact simulation formulas shows how the first-order simulation formulas, which are implicit in the Langevin equation for X(t) and the defining equation for Y(t), are modified in second order. The exact simulation algorithm is used here to illustrate the zero-\ensuremath{\tau} limit theorem. \textcopyright{} 1996 The American Physical Society.
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Stochastic Problems in Physics and Astronomy
S. Chandrasekhar · Reviews of Modern Physics · 1943 · 8.5K citations
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G. E. Uhlenbeck, L. S. Ornstein · Physical Review · 1930 · 4.5K citations
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Fundamentals of Statistical and Thermal Physics
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On the Theory of the Brownian Motion II
Ming Chen Wang, G. E. Uhlenbeck · Reviews of Modern Physics · 1945 · 2.1K citations
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