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We study a class of globally coupled maps in the continuum limit, where the individual maps are expanding maps of the circle. The circle maps in question are such that the uncoupled system admits a unique absolutely continuous invariant…

Dynamical Systems · Mathematics 2022-09-22 Péter Bálint , Gerhard Keller , Fanni M. Sélley , Imre Péter Tóth

We investigate dynamically and statistically diffusive motion in a chain of linearly coupled 2-dimensional symplectic McMillan maps and find evidence of subdiffusion in weakly and strongly chaotic regimes when all maps of the chain possess…

Chaotic Dynamics · Physics 2015-08-04 Chris G. Antonopoulos , Tassos Bountis , Lambros Drossos

We investigate the spatio-temporal dynamics of coupled chaotic systems with nonlocal interactions, where each element is coupled to its nearest neighbors within a finite range. Depending upon the coupling strength and coupling radius, we…

While a previously proposed method for estimating inertial manifold dimension, based on explicitly computing angles between pairs of covariant Lyapunov vectors (CLVs), employs efficient algorithms, it remains computationally demanding due…

Chaotic Dynamics · Physics 2025-12-12 Pavel V. Kuptsov

A variety of complex fluids under shear exhibit complex spatio-temporal behaviour, including what is now termed rheological chaos, at moderate values of the shear rate. Such chaos associated with rheological response occurs in regimes where…

Soft Condensed Matter · Physics 2015-05-18 S. M. Kamil , Gautam I. Menon , Sudeshna Sinha

Brains process information through the collective dynamics of large neural networks. Collective chaos was suggested to underlie the complex ongoing dynamics observed in cerebral cortical circuits and determine the impact and processing of…

Chaotic Dynamics · Physics 2020-06-04 Rainer Engelken , Fred Wolf , L. F. Abbott

The classical approach for studying atmospheric variability is based on defining a background state and studying the linear stability of the small fluctuations around such a state. Weakly non-linear theories can be constructed using higher…

Atmospheric and Oceanic Physics · Physics 2016-01-20 Sebastian Schubert , Valerio Lucarini

We consider spatiotemporal chaotic systems for which spatial correlation functions decay substantially over a length scale xi (the spatial correlation length) that is small compared to the system size L. Numerical simulations suggest that…

chao-dyn · Physics 2008-02-03 David A. Egolf , Henry S. Greenside

This study investigates chaotic diffusion in multi-scale turbulence driven by nonlinear wave-particle resonance coupling. Turbulent waves with distinct characteristic wavelengths across scales coherently interact with charged particles when…

Plasma Physics · Physics 2025-04-22 Yueheng Huang , Nong Xiang , Jiale Chen , Zong Xu

We obtain exact analytical results for lattices of maps with couplings that decay with distance as $r^{-\alpha}$. We analyze the effect of the coupling range on the system dynamics through the Lyapunov spectrum. For lattices whose elements…

Chaotic Dynamics · Physics 2009-11-10 C. Anteneodo , S. E. de S. Pinto , A. M. Batista , R. L. Viana

In search for mathematically tractable models of anomalous diffusion, we introduce a simple dynamical system consisting of a chain of coupled maps of the interval whose Lyapunov exponents vanish everywhere. The volume preserving property…

Mathematical Physics · Physics 2013-10-03 Lucia Salari , Lamberto Rondoni , Claudio Giberti

Through numerical simulations we analyze the synchronization time and the Lyapunov dimension of a coupled map lattice consisting of a chain of chaotic logistic maps exhibiting power law interactions. From the observed behaviors we find a…

Chaotic Dynamics · Physics 2016-08-16 Sandro E. de Souza Pinto , José T. Lunardi , Abdala M. Saleh , Antonio M. Batista

We provide appropriate tools for the analysis of dynamics and chaos for one-dimensional systems with periodic boundary conditions. Our approach allows for the investigation of the dependence of the largest Lyapunov exponent on various…

Chaotic Dynamics · Physics 2015-06-22 Pankaj Kumar , Bruce N. Miller

We consider a mechanism for area preserving Hamiltonian systems which leads to the enhanced probability, $P(\lambda, t)$, to find small values of the finite time Lyapunov exponent, $\lambda$. In our investigation of chaotic dynamical…

Chaotic Dynamics · Physics 2007-05-23 P. G. Silvestrov , I. V. Ponomarev

Lyapunov exponents are well-known characteristic numbers that describe growth rates of perturbations applied to a trajectory of a dynamical system in different state space directions. Covariant (or characteristic) Lyapunov vectors indicate…

Chaotic Dynamics · Physics 2012-03-28 Pavel V. Kuptsov , Ulrich Parlitz

We investigate energy propagation in a one-dimensional stub lattice in the presence of both disorder and nonlinearity. In the periodic case, the stub lattice hosts two dispersive bands separated by a flat band; however, we show that…

We introduce a ``spatial'' Lyapunov exponent to characterize the complex behavior of non chaotic but convectively unstable flow systems. This complexity is of spatial type and is due to sensitivity to the boundary conditions. We show that…

chao-dyn · Physics 2009-10-31 M. Falcioni , D. Vergni , A. Vulpiani

We study the dynamics of two symmetrically coupled populations of identical leaky integrate-and-fire neurons characterized by an excitatory coupling. Upon varying the coupling strength, we find symmetry-breaking transitions that lead to the…

Disordered Systems and Neural Networks · Physics 2012-08-02 Simona Olmi , Antonio Politi , Alessandro Torcini

We analyse the spatial inhomogeneities ('spatial clustering') in the distribution of particles accelerated by a force that changes randomly in space and time. To quantify spatial clustering, the phase-space dynamics of the particles must be…

Statistical Mechanics · Physics 2021-02-04 J. Meibohm , K. Gustavsson , J. Bec , B. Mehlig

In this Letter we show that the analysis of Lyapunov-exponents fluctuations contributes to deepen our understanding of high-dimensional chaos. This is achieved by introducing a Gaussian approximation for the large deviation function that…

Chaotic Dynamics · Physics 2012-03-28 Pavel V. Kuptsov , Antonio Politi