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In this paper two important aspects related to Caputo fractional-order discrete variant of a class of maps defined on the complex plane, are analytically and numerically revealed: attractors symmetry-broken induced by the fractional-order…

Dynamical Systems · Mathematics 2022-04-19 Marius-F. Danca

The first step in investigating fractional difference maps, which do not have periodic points except fixed points, is to find asymptotically periodic points and bifurcation points and draw asymptotic bifurcation diagrams. Recently derived…

Dynamical Systems · Mathematics 2025-01-28 Mark Edelman

In this work, we consider a class of $n$-dimensional, $n\geq2$, piecewise linear discontinuous maps that can exhibit a new type of attractor, called a weird quasiperiodic attractor. While the dynamics associated with these attractors may…

Dynamical Systems · Mathematics 2025-05-20 Laura Gardini , Davide Radi , Noemi Schmitt , Iryna Sushko , Frank Westerhoff

Bifurcations in a system of coupled maps are investigated. Using symbolic dynamics it is proven that for coupled shift maps the well known space--time--mixing attractor becomes unstable at a critical coupling strength in favour of a…

chao-dyn · Physics 2016-08-14 Wolfram Just

Power-law sensitivity to initial conditions, characterizing the behaviour of dynamical systems at their critical points (where the standard Liapunov exponent vanishes), is studied in connection with the family of nonlinear 1D logistic-like…

Statistical Mechanics · Physics 2009-10-30 U. M. S. Costa , M. L. Lyra , A. R. Plastino , C. Tsallis

In this paper we present a uniform way to derive families of maps from the corresponding differential equations describing systems which experience periodic kicks. The families depend on a single parameter - the order of a differential…

Chaotic Dynamics · Physics 2013-05-07 Mark Edelman

For a family of logistic-like maps, we investigate the rate of convergence to the critical attractor when an ensemble of initial conditions is uniformly spread over the entire phase space. We found that the phase space volume occupied by…

Statistical Mechanics · Physics 2015-06-24 F. A. B. F. de Moura , U. Tirnakli , M. L. Lyra

We observe the occurrence of a strange nonchaotic attractor in a periodically driven two-dimensional map, formerly proposed as a neuron model and a sequence generator. We characterize this attractor through the study of the Lyapunov…

Statistical Mechanics · Physics 2007-05-23 Andre S. Cassol , Fabio L. S. Veiga , Marcelo H. R. Tragtenberg

Discrete maps with long-term memory are obtained from nonlinear differential equations with Riemann-Liouville and Caputo fractional derivatives. These maps are generalizations of the well-known universal map. The memory means that their…

Chaotic Dynamics · Physics 2015-03-17 Vasily E. Tarasov

Area preserving maps provide the simplest and most accurate means to visualize and quantify the behavior of nonlinear systems. Convenience of the mapping equations of motion for investigation of transition to chaotic behavior in dynamics of…

chao-dyn · Physics 2007-05-23 B. Kaulakys

We analyze a one-dimensional piecewise continuous discrete model proposed originally in studies on population ecology. The map is composed of a linear part and a power-law decreasing piece, and has three parameters. The system presents both…

Chaotic Dynamics · Physics 2015-03-13 V. Botella-Soler , J. A. Oteo , J. Ros

This paper addresses the approximation of fractional harmonic maps. Besides a unit-length constraint, one has to tackle the difficulty of nonlocality. We establish weak compactness results for critical points of the fractional Dirichlet…

Numerical Analysis · Mathematics 2021-04-21 Harbir Antil , Sören Bartels , Armin Schikorra

For a family of logistic-like maps, we investigate the rate of convergence to the critical attractor when an ensemble of initial conditions is uniformly spread over the entire phase space. We found that the phase space volume occupied by…

Statistical Mechanics · Physics 2009-10-31 F. A. B. F. de Moura , U. Tirnakli , M. L. Lyra

We study the dynamics of a piecewise map defined on the set of three pairwise nonparallel, nonconcurrent lines in $\mathbb{R}^2$. The geometric map of study may be analogized to the billiard map with a different reflection rule so that each…

Dynamical Systems · Mathematics 2024-08-30 Samuel Everett

We point out the joint occurrence of Pascal triangle patterns and power-law scaling in the standard logistic map, or more generally, in unimodal maps. It is known that these features are present in its two types of bifurcation cascades:…

Chaotic Dynamics · Physics 2015-06-24 Carlos Velarde , Alberto Robledo

We show a relation between fractional calculus and fractals, based only on physical and geometrical considerations. The link has been found in the physical origins of the power-laws, ruling the evolution of many natural phenomena, whose…

Fluid Dynamics · Physics 2015-08-20 Salvatore Butera , Mario Di Paola

Caputo fractional (with power-law kernels) and fractional (delta) difference maps belong to a more widely defined class of generalized fractional maps, which are discrete convolutions with some power-law-like functions. The conditions of…

Chaotic Dynamics · Physics 2023-03-10 Mark Edelman

Iterated Function Systems (IFSs) have been at the heart of fractal geometry almost from its origin, and several generalizations for the notion of IFS have been suggested. Subdivision schemes are widely used in computer graphics and attempts…

Dynamical Systems · Mathematics 2017-02-24 Nira Dyn , David Levin , Viswanathan Puthan Veedu

There exists a variety of physically interesting situations described by continuous maps that are nondifferentiable on some surface in phase space. Such systems exhibit novel types of bifurcations in which multiple coexisting attractors can…

chao-dyn · Physics 2009-10-31 Mitrajit Dutta , Helena E. Nusse , Edward Ott , James A. Yorke

Kernel approximation via nonlinear random feature maps is widely used in speeding up kernel machines. There are two main challenges for the conventional kernel approximation methods. First, before performing kernel approximation, a good…

Machine Learning · Statistics 2015-03-16 Felix X. Yu , Sanjiv Kumar , Henry Rowley , Shih-Fu Chang