2014
DOI: 10.1103/physreve.90.012116
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Role of the interpretation of stochastic calculus in systems with cross-correlated Gaussian white noises

Abstract: We derive the Fokker-Planck equation for multivariable Langevin equations with cross-correlated Gaussian white noises for an arbitrary interpretation of the stochastic differential equation. We formulate the conditions when the solution of the Fokker-Planck equation does not depend on which stochastic calculus is adopted. Further, we derive an equivalent multivariable Ito stochastic differential equation for each possible interpretation of the multivariable Langevin equation. To demonstrate the usefulness and … Show more

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Cited by 10 publications
(9 citation statements)
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“…(3.13) on λ 2 is rather surprising (because the noise µ 2 is multiplicative). We note in this context that, in contrast to the univariate case, there always exists a class of multivariate Langevin equations with multiplicative Gaussian white noises whose interpretation does not influence the corresponding Fokker-Planck equations [38]. The above results show that Eqs.…”
Section: A Effective Langevin Equationsmentioning
confidence: 67%
See 1 more Smart Citation
“…(3.13) on λ 2 is rather surprising (because the noise µ 2 is multiplicative). We note in this context that, in contrast to the univariate case, there always exists a class of multivariate Langevin equations with multiplicative Gaussian white noises whose interpretation does not influence the corresponding Fokker-Planck equations [38]. The above results show that Eqs.…”
Section: A Effective Langevin Equationsmentioning
confidence: 67%
“…is a constant column vector with components U 1 and U 2 , the straightforward calculations [38] lead to the following Fokker-Planck equation:…”
Section: Fokker-planck Equationmentioning
confidence: 99%
“…[81]). It is interesting to observe that the theory can be generalized to take into consideration the possible cross-correlation of the noises [82,83].…”
Section: Langevin and Klein-kramers Equations In The Phase Space mentioning
confidence: 99%
“…In practice we find that it is possible to generate a sufficient number of noise configurations so that the map induced by the stochastic equations, as the result of this averaging procedure, realizes the exact statistical average over the noise [40,41]. These averages define, therefore, our reference model.…”
Section: A Reference Modelmentioning
confidence: 99%