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相关论文: Ergodicity and Lyapunov functions for Langevin dyn…

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The Lyapunov exponent corresponding to a set of square matrices $\mathcal{A} = \{A_1, \dots, A_n \}$ and a probability distribution $p$ over $\{1, \dots, n\}$ is $\lambda(\mathcal{A},p) := \lim_{k \to \infty} \frac{1}{k} \,\mathbb{E} \log…

最优化与控制 · 数学 2020-06-30 Jason M. Altschuler , Pablo A. Parrilo

We consider a smooth expanding map g on the circle of degree 2. It is known that the Lyapunov exponent of g with respect to the unique invariant measure that is absolutely continuous with respect to the Lebesgue measure is positive and less…

动力系统 · 数学 2017-04-05 Alena Erchenko

We numerically study in the one-dimensional case the validity of the functional calculated by Graham and coworkers as a Lyapunov potential for the Complex Ginzburg-Landau equation. In non-chaotic regions of parameter space the functional…

凝聚态物理 · 物理学 2015-06-25 R. Montagne , E. Hernandez-Garcia , M. San Miguel

In this paper, we investigate ergodic and fractal properties of the sets $$\Lambda_y:=\Big\{n\in\mathbb{N}:\ \{u_ny\}\in I_n\Big\},$$ where $\{\cdot\}$ denotes the fractional part function, $(u_n)_{n\in\mathbb{N}}$ is an increasing sequence…

动力系统 · 数学 2025-10-10 Vicente Saavedra-Araya

We present a new time-dependent Density Functional approach to study the relaxational dynamics of an assembly of interacting particles subject to thermal noise. Starting from the Langevin stochastic equations of motion for the velocities of…

统计力学 · 物理学 2016-08-31 Umberto Marini Bettolo Marconi , Pedro Tarazona

This paper introduces a geometric method for proving ergodicity of degenerate noise driven stochastic processes. The driving noise is assumed to be an arbitrary Levy process with non-degenerate diffusion component (but that may be applied…

概率论 · 数学 2008-04-10 Nawaf Bou-Rabee , Houman Owhadi

We study the ergodic control problem for a class of jump diffusions in $\mathbb{R}^d$, which are controlled through the drift with bounded controls. The Levy measure is finite, but has no particular structure; it can be anisotropic and…

最优化与控制 · 数学 2019-07-15 Ari Arapostathis , Luis Caffarelli , Guodong Pang , Yi Zheng

Nanochains of atoms, molecules and polymers have gained recent interest in the experimental sciences. This article contributes to an advanced mathematical modeling of the mechanical properties of nanochains that allow for heterogenities,…

偏微分方程分析 · 数学 2019-09-17 Laura Lauerbach , Stefan Neukamm , Mathias Schäffner , Anja Schlömerkemper

Pesin's identity provides a profound connection between entropy $h_{KS}$ (statistical mechanics) and the Lyapunov exponent $\lambda$ (chaos theory). It is well known that many systems exhibit sub-exponential separation of nearby…

统计力学 · 物理学 2009-02-05 Nickolay Korabel , Eli Barkai

We derive a class of multi-species aggregation-diffusion systems from stochastic interacting particle systems via relative entropy method with quantitative bounds. We show an algebraic $L^1$-convergence result using moderately interacting…

概率论 · 数学 2025-01-07 José Antonio Carrillo , Shuchen Guo , Alexandra Holzinger

In the context of mechanical Lagrangian dynamics, we prove a new Lyapunov instability criterion for a non strict local minimum equilibrium point of a smooth potential where the sufficient condition for instability is the existence of a…

动力系统 · 数学 2021-12-22 J. M. Burgos , M. Paternain

Let $k\in (d,\infty]$ and consider the $k*$-distance $$\|\mu-\nu\|_{k*}:= \sup\Big\{|\mu(f)-\nu(f)|:\ f\in\B_b(\R^d),\ \|f\|_{\tt L^k}:=\sup_{x\in \R^d}\|1_{B(x,1)}f\|_{L^k}\le 1\Big\}$$ between probability measures on $\R^d$. The…

概率论 · 数学 2025-08-20 Xing Huang , Feng-Yu Wang

In this paper a one-dimensional model of two infinite gases separated by a movable heavy piston is considered. The non-linear Langevin equation for the motion of the piston is derived from first principles for the case when the…

统计力学 · 物理学 2016-08-31 Alexander Plyukhin , Jeremy Schofield

We develop tools to construct Lyapunov functionals on the space of probability measures in order to investigate the convergence to global equilibrium of a damped Euler system under the influence of external and interaction potential forces…

偏微分方程分析 · 数学 2022-03-31 José A. Carrillo , Young-Pil Choi , Oliver Tse

It is known that hyperbolic dynamical systems admit a unique invariant probability measure with maximal entropy. We prove an effective version of this statement and use it to estimate an upper bound for Hausdorff dimension of exceptional…

动力系统 · 数学 2014-09-04 Shirali Kadyrov

We consider a continuous-time linear time-invariant dynamical system that admits an invariant cone. For the case of a self-dual and homogeneous cone we show that if the system is asymptotically stable then it admits a quadratic Lyapunov…

动力系统 · 数学 2023-09-21 Omri Dalin , Alexander Ovseevich , Michael Margaliot

We study the exponential convergence to the stationary state for nonequilibrium Langevin dynamics, by a perturbative approach based on hypocoercive techniques developed for equilibrium Langevin dynamics. The Hamiltonian and overdamped…

数学物理 · 物理学 2017-07-06 Alessandra Iacobucci , Stefano Olla , Gabriel Stoltz

The dynamics of the expansion of a Lennard-Jones system, initially confined at high density and subsequently expanding freely in the vacuum, is confronted to an expanding statistical ensemble, derived in the diluted quasi-ideal Boltzmann…

统计力学 · 物理学 2008-03-12 M. J. Ison , F. Gulminelli , C. Dorso

Recently, a new algorithm for the computation of covariant Lyapunov vectors and of corresponding local Lyapunov exponents has become available. Here we study the properties of these still unfamiliar quantities for a number of simple models,…

混沌动力学 · 物理学 2015-05-18 Hadrien Bosetti , Harald A. Posch , Christoph Dellago , William G. Hoover

We show the existence of invariant ergodic $\sigma$-additive probability measures with full support on $X$ for a class of linear operators $L: X \to X$, where $L$ is a weighted shift operator and $X$ either is the Banach space…

动力系统 · 数学 2021-11-12 Artur O. Lopes , Ali Messaoudi , M. Stadlbauer , Victor Vargas