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Related papers: Does the complex Langevin method give unbiased res…

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We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simulations, in order to circumvent the NP-hard sign problem. In…

High Energy Physics - Lattice · Physics 2023-04-19 Daniel Alvestad , Rasmus Larsen , Alexander Rothkopf

Anomalous transport in tilted periodic potentials is investigated within the framework of the fractional Fokker-Planck dynamics and the underlying continuous time random walk. The analytical solution for the stationary, anomalous current is…

Statistical Mechanics · Physics 2007-07-17 I. Goychuk , E. Heinsalu , M. Patriarca , G. Schmid , P. Hanggi

In this paper we are interested in the large time behavior of linear kinetic equations with heavy-tailed local equilibria. Our main contribution concerns the kinetic L\'evy-Fokker-Planck equation, for which we adapt hypocoercivity…

Analysis of PDEs · Mathematics 2020-03-17 Nathalie Ayi , Maxime Herda , Hélène Hivert , Isabelle Tristani

Stochastic differential equations play an important role in various applications when modeling systems that have either random perturbations or chaotic dynamics at faster time scales. The time evolution of the probability distribution of a…

Numerical Analysis · Mathematics 2022-11-11 Yao Li , Caleb Meredith

First we show that physics-informed neural networks are not suitable for a large class of parabolic partial differential equations including the Fokker-Planck equation. Then we devise an algorithm to compute solutions of the Fokker-Planck…

Analysis of PDEs · Mathematics 2024-05-02 Pinak Mandal , Amit Apte

The optimized expansion is used to formulate a systematic approximation scheme to the probability distribution of a stochastic system. The first order approximation for the one-dimensional system driven by noise in an anharmonic potential…

Statistical Mechanics · Physics 2009-04-15 Anna Okopińska

We establish sharp long time asymptotic behaviour for a family of entropies to defective Fokker-Planck equations and show that, much like defective finite dimensional ODEs, their decay rate is an exponential multiplied by a polynomial in…

Analysis of PDEs · Mathematics 2018-02-14 Anton Arnold , Amit Einav , Tobias Wöhrer

We consider the problem of building a continuous stochastic model, i.e. a Langevin or Fokker-Planck equation, through a well-controlled coarse-graining procedure. Such a method usually involves the elimination of the fast degrees of freedom…

Statistical Mechanics · Physics 2019-07-08 Marco Baldovin , Angelo Vulpiani , Andrea Puglisi , Antonio Prados

We demonstrate the equivalence of a Non--Markovian evolution equation with a linear memory--coupling and a Fokker--Planck equation (FPE). In case the feedback term offers a direct and permanent coupling of the current probability density to…

Statistical Mechanics · Physics 2009-11-11 Knud Zabrocki , Steffen Trimper , Svetlana Tatur , Reinhard Mahnke

We derive analytic solutions for the full time dependence of space-fractional Fokker-Planck equations corresponding to stochastic Langevin equations with additive tempered-stable L\'{e}vy noise terms. The drift terms are generalised to be…

Statistical Mechanics · Physics 2021-05-05 Mathew Zuparic , Alexander Kalloniatis

In this paper, we investigate the well-posedness of weak solutions to the time-fractional Fokker-Planck equation. Its dynamics is governed by anomalous diffusion, and we consider the most general case of space-time dependent forces.…

Analysis of PDEs · Mathematics 2023-08-01 Marvin Fritz

Maximization of the path information entropy is a clear prescription for constructing models in non-equilibrium statistical mechanics. Here it is shown that, following this prescription under the assumption of arbitrary instantaneous…

Data Analysis, Statistics and Probability · Physics 2016-08-01 Sergio Davis , Diego González

We look at a stochastic time-varying optimization problem and we formulate online algorithms to find and track its optimizers in expectation. The algorithms are derived from the intuition that standard prediction and correction steps can be…

Optimization and Control · Mathematics 2024-04-11 Andrea Simonetto , Paolo Massioni

We revisit the traditional upwind schemes for linear conservation laws in the viewpoint of jump processes, allowing studying upwind schemes using probabilistic tools. In particular, for Fokker-Planck equations on $\mathbb{R}$, in the case…

Numerical Analysis · Mathematics 2018-07-24 Lei Li , Jian-Guo Liu

Efficient and accurate integration of stochastic (partial) differential equations with multiplicative noise can be obtained through a split-step scheme, which separates the integration of the deterministic part from that of the stochastic…

Statistical Mechanics · Physics 2009-11-10 Ivan Dornic , Hugues Chate , M. A. Munoz

We consider a continuous random walk model for describing normal as well as anomalous diffusion of particles subjected to an external force when these particles diffuse in a uniformly expanding (or contracting) medium. A general equation…

Statistical Mechanics · Physics 2018-10-17 F. Le Vot , S. B. Yuste

We characterize a stochastic dynamical system with tempered stable noise, by examining its probability density evolution. This probability density function satisfies a nonlocal Fokker-Planck equation. First, we prove a superposition…

Dynamical Systems · Mathematics 2021-06-02 Li Lin , Jinqiao Duan , Xiao Wang , Yanjie Zhang

We consider the $d=1$ nonlinear Fokker-Planck-like equation with fractional derivatives $\frac{\partial}{\partial t}P(x,t)=D \frac{\partial^{\gamma}}{\partial x^{\gamma}}[P(x,t) ]^{\nu}$. Exact time-dependent solutions are found for $ \nu =…

Statistical Mechanics · Physics 2009-02-06 Mauro Bologna , Constantino Tsallis , Paolo Grigolini

Since Kramers' pioneering work in 1940, significant efforts have been devoted to studying Langevin equations applied to physical and chemical reactions projected onto few collective variables, with particular focus on the inference of their…

Statistical Mechanics · Physics 2025-07-16 David Daniel Girardier , Hadrien Vroylandt , Sara Bonella , Fabio Pietrucci

We investigate the impact of external periodic potentials on superdiffusive random walks known as Levy flights and show that even strongly superdiffusive transport is substantially affected by the external field. Unlike ordinary random…

Statistical Mechanics · Physics 2009-11-07 D. Brockmann , T. Geisel
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