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Nonlinear, multiplicative Langevin equations for a complete set of slow variables in equilibrium systems are generally derived on the basis of the separation of time scales. The form of the equations is universal and equivalent to that…

Statistical Mechanics · Physics 2017-03-07 Masato Itami , Shin-ichi Sasa

Growth fronts of slime molds are characterized through a direct geometric analysis based on Loewner evolutions, using experimentally acquired time-resolved images. The associated Loewner driving functions reconstructed from expanding…

Analysis of PDEs · Mathematics 2026-03-12 Claire David , Aurèle Boussard , Nizare Riane , Michel L. Lapidus , Audrey Dussutour

On the example of two-phase continua experiencing stress induced solid-fluid phase transitions we explore the use of the Euler structure in the formulation of the governing equations. The Euler structure guarantees that solutions of the…

Soft Condensed Matter · Physics 2015-12-02 Ilya Peshkov , Miroslav Grmela , Evgeniy Romenski

We extend a generic class of systems which have previously been shown to spontaneously develop scaling (power law) distributions of their elementary degrees of freedom. While the previous systems were linear and exploded exponentially for…

adap-org · Physics 2009-10-28 S. Solomon , M. Levy

The forward and reverse Kullback-Leibler (KL) divergences arise as limiting objectives in learning and inference yet induce markedly different inductive biases that cannot be explained at the level of expectations alone. In this work, we…

Machine Learning · Statistics 2026-03-05 Shion Matsumoto , Raul Castillo , Benjamin Prada , Ankur Arjun Mali

Time-dependent fluid dynamics plays a crucial role in both natural phenomena and industrial applications. Understanding the flow instabilities and transitions within these dynamical systems is essential for predicting and controlling their…

Fluid Dynamics · Physics 2025-06-25 Mengqi Zhang

In this note we study locally self-similar blow up for the Euler equation. The main result states that under a mild $L^p$-growth assumption on the profile $v$, namely, $\int_{|y| \sim L} |v|^p dy \lesssim L^{\g}$ for some $\g <p-2$, the…

Analysis of PDEs · Mathematics 2014-09-16 Anne Bronzi , Roman Shvydkoy

Similar to the well-known phases of SLE, the Loewner differential equation with Lip(1/2) driving terms is known to have a phase transition at norm 4, when traces change from simple to non-simple curves. We establish the deterministic analog…

Complex Variables · Mathematics 2011-03-02 Joan Lind , Steffen Rohde

This review provides an introduction to two dimensional growth processes. Although it covers a variety processes such as diffusion limited aggregation, it is mostly devoted to a detailed presentation of stochastic Schramm-Loewner evolutions…

Mathematical Physics · Physics 2008-11-26 Michel Bauer , Denis Bernard

We investigate the dynamics of solitons of the cubic Nonlinear Schr\"odinger Equation (NLSE) with the following perturbations: non-parametric spatio-temporal driving of the form $f(x,t) = a \exp[i K(t) x]$, damping, and a linear term which…

Pattern Formation and Solitons · Physics 2025-11-11 Franz G. Mertens , Niurka R. Quintero , A. R. Bishop

We consider a simple model for multidimensional cone-wise linear dynamics around cusp-like equilibria. We assume that the local linear evolution is either $\mathbf{v}^\prime=\mathbb{A}\mathbf{v}$ or $\mathbb{B}\mathbf{v}$ (with…

Mathematical Physics · Physics 2022-02-15 Théo Dessertaine , Jean-Philippe Bouchaud

We study Slowly Annealed Langevin Dynamics (SALD), a sampler for tracking a path of moving target distributions and approximating the terminal target through time slowdown. We establish non-asymptotic convergence guarantees via a KL…

Machine Learning · Computer Science 2026-05-11 Atsushi Nitanda , Dake Bu , Yueming Lyu , Tanya Veeravalli

Free energy, widely used as a measure of turbulence intensity in weakly collisional plasmas, has been recently found to be a suitable basis to describe both linear and nonlinear growth in a wide class gyrokinetic systems. The simplicity…

Plasma Physics · Physics 2023-09-18 G. G. Plunk , P. Helander

In this paper, we study the long-time stability behavior of a class of linear stochastic evolution equations in a Hilbert space with multiplicative noise. Explicit sufficient conditions for $p$-th moment and almost sure exponential…

Analysis of PDEs · Mathematics 2026-05-21 Abdellatif Elgrou , Abdelaziz Rhandi , Jawad Salhi

We propose and analyze a class of adaptive sampling algorithms for multimodal distributions on a bounded domain, which share a structural resemblance to the classic overdamped Langevin dynamics. We first demonstrate that this class of…

Machine Learning · Computer Science 2024-11-26 Björn Engquist , Kui Ren , Yunan Yang

When the motion of a probe strongly disturbs the thermal equilibrium of the solvent or bath, the nonlinear response of the latter must enter the probe's effective evolution equation. We derive that induced stochastic dynamics using second…

Soft Condensed Matter · Physics 2017-01-10 Matthias Krüger , Christian Maes

The damped driven nonlinear Schr\"odinger equation (NLSE) has been used to understand a range of physical phenomena in diverse systems. Studying this equation in the context of optical hyper-parametric oscillators in anomalous-dispersion…

Pattern Formation and Solitons · Physics 2017-07-19 Hossein Taheri , Pascal Del'Haye , Ali A. Eftekhar , Kurt Wiesenfeld , Ali Adibi

A new exactly solvable model for the evolution of relativistic kinetic system interacting with an internal stochastic reservoir under the influence of a gravitational background expansion is established. This model of self-interaction is…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Alexander B. Balakin

Stability of the traveling wave solution to a general class of one-dimensional nonlocal evolution equations is studied in $L^2$-spaces, thereby providing an alternative approach to the usual spectral analysis with respect to the supremum…

Probability · Mathematics 2020-01-16 Eva Lang , Wilhelm Stannat

We present a data-driven method to learn stochastic reduced models of complex systems that retain a state-dependent memory beyond the standard generalized Langevin equation (GLE) with a homogeneous kernel. The constructed model naturally…

Computational Physics · Physics 2023-10-31 Pei Ge , Zhongqiang Zhang , Huan Lei