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Dec 1995

Volume 5, Issue 4, pp. 619-708


Unstable evolution of pointwise trajectory solutions to chaotic maps

Ronald F. Fox

Chaos 5, 619 (1995); http://dx.doi.org/10.1063/1.166132 (15 pages) | Cited 6 times

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Simple chaotic maps are used to illustrate the inherent instability of trajectory solutions to the Frobenius–Perron equation. This is demonstrated by the difference in the behavior of δ‐function solutions and of extended densities. Extended densities evolve asymptotically and irreversibly into invariant measures on stationary attractors. Pointwise trajectories chaotically roam over these attractors forever. Periodic Gaussian distributions on the unit interval are used to provide insight. Viewing evolving densities as ensembles of unstable pointwise trajectories gives densities a stochastic interpretation. © 1995 American Institute of Physics.
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05.45.-a Nonlinear dynamics and chaos

Iterated function systems and dynamical systems

Paweł Góra and Abraham Boyarsky

Chaos 5, 634 (1995); http://dx.doi.org/10.1063/1.166133 (6 pages) | Cited 2 times

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We study the relationship between measures invariant for a piecewise expanding transformation τ of a compact metric space endowed with a underlying measure and measures invariant for an iterated function system Tτ, generated by inverse branches of τ. The main result says that the τ‐invariant absolutely continuous measure μ is also Tτ invariant if and only if τ is absolutely continuously conjugated with a piecewise linear transformation. Measures of maximal entropy and general equilibrium states are also discussed. © 1995 American Institute of Physics.
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02.30.Cj Measure and integration
05.45.-a Nonlinear dynamics and chaos

Complex dynamics and multistability in a damped harmonic oscillator with delayed negative feedback

Sue Ann Campbell, Jacques Bélair, Toru Ohira, and John Milton

Chaos 5, 640 (1995); http://dx.doi.org/10.1063/1.166134 (6 pages) | Cited 24 times

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A center manifold reduction and numerical calculations are used to demonstrate the presence of limit cycles, two‐tori, and multistability in the damped harmonic oscillator with delayed negative feedback. This model is the prototype of a mechanical system operating with delayed feedback. Complex dynamics are thus seen to arise in very plausible and commonly occurring mechanical and neuromechanical feedback systems. © 1995 American Institute of Physics.
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45.05.+x General theory of classical mechanics of discrete systems
05.45.-a Nonlinear dynamics and chaos

On the Riemannian description of chaotic instability in Hamiltonian dynamics

Marco Pettini and Riccardo Valdettaro

Chaos 5, 646 (1995); http://dx.doi.org/10.1063/1.166135 (7 pages) | Cited 14 times

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In this work we investigate Hamiltonian chaos using elementary Riemannian geometry. This is possible because the trajectories of a standard Hamiltonian system (i.e., having a quadratic kinetic energy term) can be seen as geodesics of the configuration space manifold equipped with the standard Jacobi metric. The stability of the dynamics is tackled with the Jacobi–Levi‐Civita equation (JLCE) for geodesic spread and is applied to the case of a two degrees of freedom Hamiltonian. A detailed comparison is made among the qualitative informations given by Poincaré sections and the results of the geometric investigation. Complete agreement is found. The solutions of the JLCE are also in quantitative agreement with the solutions of the tangent dynamics equation. The configuration space manifold associated to the Hamiltonian studied here is everywhere of positive curvature. However, curvature is not constant and its fluctuations along the geodesics can yield parametric instability of the trajectories, thus chaos. This mechanism seems to be one of the most effective sources of chaotic instabilities in Hamiltonians of physical interest, and makes a major difference with Anosov flows, and, in general, with abstract geodesic flows of ergodic theory. © 1995 American Institute of Physics.
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02.40.-k Geometry, differential geometry, and topology
05.20.-y Classical statistical mechanics
05.45.-a Nonlinear dynamics and chaos

From Hamiltonian chaos to Maxwell’s Demon

George M. Zaslavsky

Chaos 5, 653 (1995); http://dx.doi.org/10.1063/1.166136 (9 pages) | Cited 15 times

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The problem of the existence of Maxwell’s Demon (MD) is formulated for systems with dynamical chaos. Property of stickiness of individual trajectories, anomalous distribution of the Poincaré recurrence time, and anomalous (non‐Gaussian) transport for a typical system with Hamiltonian chaos results in a possibility to design a situation equivalent to the MD operation. A numerical example demonstrates a possibility to set without expenditure of work a thermodynamically non‐equilibrium state between two contacted domains of the phase space lasting for an arbitrarily long time. This result offers a new view of the Hamiltonian chaos and its role in the foundation of statistical mechanics. © 1995 American Institute of Physics.
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45.05.+x General theory of classical mechanics of discrete systems
05.20.-y Classical statistical mechanics
05.45.-a Nonlinear dynamics and chaos

Chaos in thermal pulse combustion

C. Stuart Daw, John F. Thomas, George A. Richards, and Lakshmanan L. Narayanaswami

Chaos 5, 662 (1995); http://dx.doi.org/10.1063/1.166137 (9 pages) | Cited 16 times

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An experimental thermal pulse combustor and a differential equation model of this device are shown to exhibit chaotic behavior under certain conditions. Chaos arises in the model by means of a progression of period‐doubling bifurcations that occur when operating parameters such as combustor wall temperature or air/fuel flow are adjusted to push the system toward flameout. Bifurcation sequences have not yet been reproduced experimentally, but similarities are demonstrated between the dynamic features of pressure fluctuations in the model and experiment. Correlation dimension, Kolmogorov entropy, and projections of reconstructed attractors using chaotic time series analysis are demonstrated to be useful in classifying dynamical behavior of the experimental combustor and for comparison of test data to the model results. Ways to improve the model are suggested. © 1995 American Institute of Physics.
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05.45.-a Nonlinear dynamics and chaos
82.33.Vx Reactions in flames, combustion, and explosions

A simple model of chaotic advection and scattering

Gustavo Stolovitzky, Tasso J. Kaper, and Lawrence Sirovich

Chaos 5, 671 (1995); http://dx.doi.org/10.1063/1.166138 (16 pages) | Cited 13 times

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In this work, we study a blinking vortex‐uniform stream map. This map arises as an idealized, but essential, model of time‐dependent convection past concentrated vorticity in a number of fluid systems. The map exhibits a rich variety of phenomena, yet it is simple enough so as to yield to extensive analytical investigation. The map’s dynamics is dominated by the chaotic scattering of fluid particles near the vortex core. Studying the paths of fluid particles, it is seen that quantities such as residence time distributions and exit‐vs‐entry positions scale in self‐similar fashions. A bifurcation is identified in which a saddle fixed point is created upstream at infinity. The homoclinic tangle formed by the transversely intersecting stable and unstable manifolds of this saddle is principally responsible for the observed self‐similarity. Also, since the model is simple enough, various other properties are quantified analytically in terms of the circulation strength, stream velocity, and blinking period. These properties include: entire hierarchies of fixed points and periodic points, the parameter values at which these points undergo conservative period‐doubling bifurcations, the structure of the unstable manifolds of the saddle fixed and periodic points, and the detailed structure of the resonance zones inside the vortex core region. A connection is made between a weakly dissipative version of our map and the Ikeda map from nonlinear optics. Finally, we discuss the essential ingredients that our model contains for studying how chaotic scattering induced by time‐dependent flow past vortical structures produces enhanced diffusivities. © 1995 American Institute of Physics.
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05.45.-a Nonlinear dynamics and chaos
47.52.+j Chaos in fluid dynamics

On vortex entities of 2D turbulence in wavenumber space

Xinyu He

Chaos 5, 687 (1995); http://dx.doi.org/10.1063/1.166100 (3 pages)

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To connect vortices in physical space and scales in wavenumber space, spectral definitions for vortex size and momentum are introduced within the framework of a probabilistic method. At a late stage of 2D decaying turbulence, a simple solution is given for the vortex position and momentum probabilities. From the solution, an energy spectrum E(k) for self‐similar vortices is constructed, which is in agreement with that observed in numerical simulations. © 1995 American Institute of Physics.
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47.27.Ak Fundamentals
47.32.C- Vortex dynamics

Painleve’ analysis of a variable coefficient Sine‐Gordon equation

Angelo Di Garbo and Leone Fronzoni

Chaos 5, 690 (1995); http://dx.doi.org/10.1063/1.166144 (3 pages)

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In this paper we study a variable coefficient Sine‐Gordon (vSG) equation given by θtt−θxx+F(x,t)sin θ=0 where F(x,t) is a real function. To establish if it may be integrable we have performed the standard test of Weiss, Tabor, and Carnevale (WTC). We have got that the (vSG) equation has the Painleve’ property (Pp) if the function F(x,t) satisfies a well‐defined nonlinear partial differential equation. We have found the general solution of this last equation and, consequently, the functions F(x,t) such that the (vSG) equation possesses the (Pp), are given by F(x,t)=F1(x+t)F2(xt) where F1(x+t) and F2(xt) are arbitrary functions. Using this last result we have obtained some particular solutions of the 〈vSG〉 equation. © 1995 American Institute of Physics.
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02.30.Jr Partial differential equations
41.20.Jb Electromagnetic wave propagation; radiowave propagation
42.81.Dp Propagation, scattering, and losses; solitons

Master‐slave synchronization from the point of view of global dynamics

Charles Tresser, Patrick A. Worfolk, and Hyman Bass

Chaos 5, 693 (1995); http://dx.doi.org/10.1063/1.166101 (7 pages) | Cited 27 times

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We present a mathematical framework for the theory of a synchronization phenomenon for dynamical systems discovered by Pecora and Carroll [Phys. Rev. Lett. 64, 821–824 (1990)]. From this perspective, we can synchronize, using a single coordinate, an open dense set of linear systems. We use our insights to synchronize nonlinear systems which were not previously recognized as being synchronizable. © 1995 American Institute of Physics.
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05.45.-a Nonlinear dynamics and chaos

Wave trains in a model of gypsy moth population dynamics

J. W. Wilder, D. A. Vasquez, I. Christie, and J. J. Colbert

Chaos 5, 700 (1995); http://dx.doi.org/10.1063/1.166102 (7 pages) | Cited 1 time

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A recent model of gypsy moth [Lymantria dispar (Lepidoptera: Lymantriidae)] populations led to the observation of traveling waves in a one‐dimensional spatial model. In this work, these waves are studied in more detail and their nature investigated. It was observed that when there are no spatial effects the model behaves chaotically under certain conditions. Under the same conditions, when diffusion is allowed, traveling waves develop. The biomass densities involved in the model, when examined at one point in the spatial domain, are found to correspond to a limit cycle lying on the surface of the chaotic attractor of the spatially homogeneous model. Also observed are wave trains that have modulating maxima, and which when examined at one point in the spatial domain show a quasiperiodic temporal behavior. This complex behavior is determined to be due to the interaction of the traveling wave and the chaotic background dynamics. © 1995 American Institute of Physics.
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05.45.-a Nonlinear dynamics and chaos
87.10.-e General theory and mathematical aspects
FREE

Erratum: ‘‘Effect of a magnetic flux line on the quantum beats in the Hénon–Heiles level density’’ [Chaos 5, 317 (1995)]

M. Brack, R. K. Bhaduri, J. Law, Ch. Maier, and M. V. N. Murthy

Chaos 5, 707 (1995); http://dx.doi.org/10.1063/1.166146 (2 pages) | Cited 6 times

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Abstract Unavailable
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03.65.Sq Semiclassical theories and applications
05.45.-a Nonlinear dynamics and chaos
99.10.Cd Errata
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