English
Related papers

Related papers: Beyond Lyapunov

200 papers

Generic dynamical systems have `typical' Lyapunov exponents, measuring the sensitivity to small perturbations of almost all trajectories. A generic system has also trajectories with exceptional values of the exponents, corresponding to…

Statistical Mechanics · Physics 2013-06-06 Tanguy Laffargue , Khanh-Dang Nguyen Thu Lam , Jorge Kurchan , Julien Tailleur

In this article, we continue the structural study of factor maps betweeen symbolic dynamical systems and the relative thermodynamic formalism. Here, one is studying a factor map from a shift of finite type $X$ (equipped with a potential…

Dynamical Systems · Mathematics 2022-03-09 John Antonioli , Soonjo Hong , Anthony Quas

Generalized entropies are studied as Lyapunov functions for the Master equation (Markov chains). Three basic properties of these Lyapunov functions are taken into consideration: universality (independence of the kinetic coefficients),…

Statistical Mechanics · Physics 2007-05-23 Pavel Gorban

Ergodic systems, being indecomposable are important part of the study of dynamical systems but if a system is not ergodic, it is natural to ask the following question: Is it possible to split it into ergodic systems in such a way that the…

Dynamical Systems · Mathematics 2020-12-01 Sakshi Jain , Shah Faisal

The sensitive dependence of chaos on parameters is a topic of great interest in the study of integrability and stability of dynamical systems. Previous work has proposed ways to identify the sensitive dependence on parameters by topological…

For systems evolving on a Riemannian manifold, we propose converse Lyapunov theorems for asymptotic and exponential stability. The novelty of the proposed approach is that is does not rely on local Euclidean coordinate, and is thus valid on…

Systems and Control · Electrical Eng. & Systems 2020-02-27 Dongjun Wu

The focus of this article is on entropy and Markov processes. We study the properties of functionals which are invariant with respect to monotonic transformations and analyze two invariant "additivity" properties: (i) existence of a…

Data Analysis, Statistics and Probability · Physics 2013-11-12 A. N. Gorban , P. A. Gorban , G. Judge

Lyapunov functions with exponential weights have been used successfully as a powerful tool for the stability analysis of hyperbolic systems of balance laws. In this paper we extend the class of weight functions to a family of hyperbolic…

Optimization and Control · Mathematics 2024-10-02 Martin Gugat

In this paper we study the ergodic theory of a robust non-uniformly expanding maps where no Markov assumption is required. We prove that the topological pressure is differentiable as a function of the dynamics and analytic with respect to…

Dynamical Systems · Mathematics 2016-03-18 Thiago Bomfim , Armando Castro , Paulo Varandas

Lyapunov exponents are indicators for the chaotic properties of a classical dynamical system. They are most naturally defined in terms of the time evolution of a set of so-called covariant vectors, co-moving with the linearized flow in…

Chaotic Dynamics · Physics 2012-07-02 Harald A. Posch

This is a survey of some invariances that arise in dynamical systems theory in the presence of zero Lyapunov exponents.

Dynamical Systems · Mathematics 2026-05-28 François Ledrappier

Ergodic Optimization is the process of finding invariant probability measures that maximize the integral of a given function. It has been conjectured that "most" functions are optimized by measures supported on a periodic orbit, and it has…

Dynamical Systems · Mathematics 2015-03-17 Anthony Quas , Jason Siefken

We introduce the notion of Lyapunov exponents for random dynamical systems, conditioned to trajectories that stay within a bounded domain for asymptotically long times. This is motivated by the desire to characterize local dynamical…

Dynamical Systems · Mathematics 2019-07-16 Maximilian Engel , Jeroen S. W. Lamb , Martin Rasmussen

We consider the limit set of generalised iterated function systems. Under the assumption of a natural potential, the so called cylinder function, we prove the existence of the invariant probability measure satisfying the equilibrium state.…

Dynamical Systems · Mathematics 2017-01-31 Antti Käenmäki

We show that the existence of physical measures for $C^\infty$ smooth instances of certain partially hyperbolic dynamics, both continuous and discrete, exhibiting mixed behavior (positive and negative Lyapunov exponents) along the central…

Dynamical Systems · Mathematics 2025-06-10 Vitor Araujo , Luciana Salgado

We consider C1 Anosov diffeomorphisms on a compact Riemannian manifold. We define the weak pseudo-physical measures, which include the physical measures when these latter exist. We prove that ergodic weak pseudo-physical measures do exist,…

Dynamical Systems · Mathematics 2018-03-01 Eleonora Catsigeras , Marcelo Cerminara , Heber Enrich

Nowadays the Lyapunov exponents and Lyapunov dimension have become so widespread and common that they are often used without references to the rigorous definitions or pioneering works. It may lead to a confusion since there are at least two…

Chaotic Dynamics · Physics 2016-03-07 N. V. Kuznetsov , T. A. Alexeeva , G. A. Leonov

We introduce the ergodic condition which assures the existence of an invariant measure for Feller processes defined on an arbitrary complete and separable metric space.

Probability · Mathematics 2007-05-23 Tomasz Szarek

Given an irreducible subshift of finite type X, a subshift Y, a factor map \pi : X \to Y, and an ergodic invariant measure \nu on Y, there can exist more than one ergodic measure on X which projects to \nu and has maximal entropy among all…

Dynamical Systems · Mathematics 2007-05-23 Karl Petersen , Anthony Quas , Sujin Shin

In the first part of this paper, we formulate a general setting in which to study the ergodic theory of differentiable $\mathbb{Z}^d$-actions preserving a Borel probability measure. This framework includes actions by $C^{1+\text{H\"older}}$…

Dynamical Systems · Mathematics 2016-11-01 Aaron Brown , Federico Rodriguez Hertz , Zhiren Wang