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Wright's delay differential equation is one of the prime examples of a fully nonlinear equation without an explicit solution and whose dynamics can be understood by analytic means. In this paper, we introduce stochastic perturbations by…

Probability · Mathematics 2026-05-12 Mark van den Bosch , Onno van Gaans , Sjoerd Verduyn Lunel

It is shown that under a certain condition on a semimartingale and a time-change, any stochastic integral driven by the time-changed semimartingale is a time-changed stochastic integral driven by the original semimartingale. As a direct…

Probability · Mathematics 2010-10-26 Kei Kobayashi

We illustrate a counter-intuitive effect of an additive stochastic force, which acts independently on each element of an ensemble of globally coupled oscillators. We show numerically and semi-analytically that a very small white noise is…

Adaptation and Self-Organizing Systems · Physics 2017-06-27 Pau Clusella , Antonio Politi

For stochastic evolution equations with fractional derivatives, classical solutions exist when the order of the time derivative of the unknown function is not too small compared to the order of the time derivative of the noise; otherwise,…

Probability · Mathematics 2018-11-01 Sergey V. Lototsky , Boris L. Rozovsky

The new scheme of stochastic quantization is proposed. This quantization procedure is equivalent to the deformation of an algebra of observables in the manner of deformation quantization with an imaginary deformation parameter (the Planck…

High Energy Physics - Theory · Physics 2007-06-13 P. O. Kazinski

The multi-dimensional non-linear Langevin equation with multiplicative Gaussian white noises in Ito's sense is made covariant with respect to non-linear transform of variables. The formalism involves no metric or affine connection, works…

Statistical Mechanics · Physics 2020-09-16 Mingnan Ding , Zhanchun Tu , Xiangjun Xing

A recent paper of Melbourne & Stuart, A note on diffusion limits of chaotic skew product flows, Nonlinearity 24 (2011) 1361-1367, gives a rigorous proof of convergence of a fast-slow deterministic system to a stochastic differential…

Dynamical Systems · Mathematics 2015-06-15 Georg A. Gottwald , Ian Melbourne

A description in terms of phase and amplitude variables is given, for nonlinear oscillators subject to white Gaussian noise described by It\^o stochastic differential equations. The stochastic differential equations derived for the…

Statistical Mechanics · Physics 2015-03-24 Michele Bonnin

We consider the Fokker--Planck equations with irregular coefficients. Two different cases are treated: in the degenerate case, the coefficients are assumed to be weakly differentiable, while in the non-degenerate case the drift satisfies…

Probability · Mathematics 2019-10-22 Huaiqian Li , Dejun Luo

Starting from the simple point process model of 1/f noise we derive a stochastic nonlinear differential equation for the signal exhibiting 1/f noise in any desirably wide range of frequency. A stochastic differential equation (the general…

Statistical Mechanics · Physics 2009-11-10 B. Kaulakys , J. Ruseckas

In a recent paper we have classified scalar Ito equations which admits a standard symmetry; these are also directly integrable by the Kozlov substitution. In the present work, we consider the diffusion (Fokker-Planck) equations associated…

Mathematical Physics · Physics 2024-02-14 Giuseppe Gaeta , Miguel Angel Rodriguez

One proves the uniqueness of distributional solutions to nonlinear Fokker--Planck equations with monotone diffusion term and derive as a consequence (restricted) uniqueness in law for the corresponding McKean--Vlasov stochastic differential…

Probability · Mathematics 2021-04-19 Viorel Barbu , Michael Röckner

We present a method for the nonparametric estimation of the drift function of certain types of stochastic differential equations from the empirical density. It is based on a variational formulation of the Fokker-Planck equation. The…

Data Analysis, Statistics and Probability · Physics 2016-12-16 Philipp Batz , Andreas Ruttor , Manfred Opper

We provide a symmetry classification of scalar stochastic equations with multiplicative noise. These equations can be integrated by means of the Kozlov procedure, by passing to symmetry adapted variables.

Mathematical Physics · Physics 2020-02-13 Giuseppe Gaeta , Francesco Spadaro

The Langevin equation with a multiplicative L\'evy white noise is solved. The noise amplitude and the drift coefficient have a power-law form. A validity of ordinary rules of the calculus for the Stratonovich interpretation is discussed.…

Statistical Mechanics · Physics 2015-05-18 Tomasz Srokowski

After a short review of recent progresses in 2D Euler equations with random initial conditions and noise, some of the recent results are improved by exploiting a priori estimates on the associated infinite dimensional Fokker-Planck…

Probability · Mathematics 2021-08-11 Franco Flandoli , Francesco Grotto , Dejun Luo

We investigate the effects of exponentially correlated noise on birhythmic van der Pol type oscillators. The analytical results are obtained applying the quasi-harmonic assumption to the Langevin equation to derive an approximated…

Data Analysis, Statistics and Probability · Physics 2015-09-25 R. Mbakob Yonkeu , R. Yamapi , G. Filatrella , C. Tchawoua

We discuss a model of a system of interacting populations for the case when: (i) the growth rates and the coefficients of interaction among the populations depend on the populations densities: and (ii) the environment influences the growth…

Chaotic Dynamics · Physics 2013-11-15 Nikolay K. Vitanov , Kaloyan N. Vitanov

The connection between forward backward doubly stochastic differential equations and the optimal filtering problem is established without using the Zakai's equation. The solutions of forward backward doubly stochastic differential equations…

Probability · Mathematics 2017-04-07 Feng Bao , Yanzhao Cao , Xiaoping Han

We derive exact Langevin-type equations governing quasispecies dynamics. The inherent multiplicative noise has both real and imaginary parts. The numerical simulation of the underlying complex stochastic partial differential equations is…

Statistical Mechanics · Physics 2007-05-23 David Hochberg , M. -P. Zorzano , Federico Moran
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