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相关论文: Evaluation of Lyapunov exponent in generalized lin…

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We consider generalized linear stochastic dynamical systems with second-order state transition matrices. The entries of the matrix are assumed to be either independent and exponentially distributed or equal to zero. We give an overview of…

最优化与控制 · 数学 2012-12-27 Nikolai Krivulin

The dependence of the Lyapunov exponent on the closeness parameter, $\epsilon$, in tangent bifurcation systems is investigated. We study and illustrate two averaging procedures for defining Lyapunov exponents in such systems. First, we…

chao-dyn · 物理学 2015-06-24 James Hanssen , Walter Wilcox

By interpreting a temporal network as a trajectory of a latent graph dynamical system, we introduce the concept of dynamical instability of a temporal network, and construct a measure to estimate the network Maximum Lyapunov Exponent (nMLE)…

数据分析、统计与概率 · 物理学 2023-05-03 Annalisa Caligiuri , Victor M. Eguiluz , Leonardo di Gaetano , Tobias Galla , Lucas Lacasa

This paper presents new sufficient conditions for convergence and asymptotic or exponential stability of a stochastic discrete-time system, under which the constructed Lyapunov function always decreases in expectation along the system's…

系统与控制 · 计算机科学 2019-06-05 Yuzhen Qin , Ming Cao , Brian D. O. Anderson

This is a survey of known results on estimating the principal Lyapunov exponent of a time-dependent linear differential equation possessing some monotonicity properties. Equations considered are mainly strongly cooperative systems of…

动力系统 · 数学 2014-11-18 Janusz Mierczyński

It is shown that the asymptotic spectra of finite-time Lyapunov exponents of a variety of fully chaotic dynamical systems can be understood in terms of a statistical analysis. Using random matrix theory we derive numerical and in particular…

混沌动力学 · 物理学 2009-10-31 Fotis Diakonos , Detlef Pingel , Peter Schmelcher

The conditional Lyapunov exponent is defined for investigating chaotic synchronization, in particular complete synchronization and generalized synchronization. We find that the conditional Lyapunov exponent is expressed as a formula in…

混沌动力学 · 物理学 2017-11-07 Masaru Shintani , Ken Umeno

Cross-sectional observations from a dynamical system can be modeled via steady-state distributions of Markov processes. The major challenge is then to determine whether the process parameters can be identified and estimated from the…

统计理论 · 数学 2026-03-19 Cecilie Olesen Recke , Niels Richard Hansen

In this paper, we discuss the Lyapunov exponent definition of chaos and how it can be used to quantify the chaotic behavior of a system. We derive a way to practically calculate the Lyapunov exponent of a one-dimensional system and use it…

综合数学 · 数学 2024-07-12 Brandon Le

Despite the prominent importance of the Lyapunov exponents for characterizing chaos, it still remains a challenge to measure them for large experimental systems, mainly because of the lack of recurrences in time series analysis. Here we…

混沌动力学 · 物理学 2018-12-20 Taro P. Shimizu , Kazumasa A. Takeuchi

We consider (max,+)-algebra products of random matrices, which arise from performance evaluation of acyclic fork-join queueing networks. A new algebraic technique to examine properties of the product and investigate its limiting behaviour…

最优化与控制 · 数学 2012-12-24 N. K. Krivulin

The predictability problem for systems with different characteristic time scales is investigated. It is shown that even in simple chaotic dynamical systems, the leading Lyapunov exponent is not sufficient to estimate the predictability…

chao-dyn · 物理学 2009-10-31 G. Boffetta , P. Giuliani , G. Paladin , A. Vulpiani

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…

动力系统 · 数学 2019-07-16 Maximilian Engel , Jeroen S. W. Lamb , Martin Rasmussen

According to a previous conjecture, spatial and temporal Lyapunov exponents of chaotic extended systems can be obtained from derivatives of a suitable function: the entropy potential. The validity and the consequences of this hypothesis are…

chao-dyn · 物理学 2009-10-30 Stefano Lepri , Antonio Politi , Alessandro Torcini

We present a new approach for constructing polytope Lyapunov functions for continuous-time linear switching systems (LSS). This allows us to decide the stability of LSS and to compute the Lyapunov exponent with a good precision in…

动力系统 · 数学 2014-06-24 Nicola Guglielmi , Linda Laglia , Vladimir Protasov

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…

统计力学 · 物理学 2013-06-06 Tanguy Laffargue , Khanh-Dang Nguyen Thu Lam , Jorge Kurchan , Julien Tailleur

We discuss certain recent metric space methods and some of the possibilities these methods provide, with special focus on various generalizations of Lyapunov exponents originally appearing in the theory of dynamical systems and differential…

动力系统 · 数学 2022-12-27 Anders Karlsson

The scaling behavior of the maximal Lyapunov exponent in chaotic systems with time-delayed feedback is investigated. For large delay times it has been shown that the delay-dependence of the exponent allows a distinction between strong and…

混沌动力学 · 物理学 2012-10-15 Thomas Jüngling , Wolfgang Kinzel

The goal of this paper is twofold. In the first part we discuss a general approach to determine Lyapunov exponents from ensemble- rather than time-averages. The approach passes through the identification of locally stable and unstable…

混沌动力学 · 物理学 2009-11-11 Antonio Politi , Francesco Ginelli , Serhiy Yanchuk , Yuri Maistrenko

It is well-known that the Lyapunov exponent plays a fundamental role in dynamical systems. In this note, we propose an alternative definition of Lyapunov exponent in terms of Lipschitz maps, which are not necessarily differentiable. We show…

综合数学 · 数学 2018-01-31 Giuliano G. La Guardia , Pedro J. Miranda
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