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The physics of chaos in Hamiltonian systems PDF

337 Pages·2007·5.095 MB·English
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THE PHYSICS OF CHAOS IN HAMILTONIAN SYSTEMS Second Edition TThhiiss ppaaggee iinntteennttiioonnaallllyy lleefftt bbllaannkk THE PHYSICS OF CHAOS IN HAMILTONIAN SYSTEMS Second Edition George M. Zaslavsky Department of Physics and Courant Institute of Mathematical Sciences New York University, USA Imperial College Press Published by Imperial College Press 57 Shelton Street Covent Garden London WC2H 9HE Distributed by World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224 USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601 UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. PHYSICS OF CHAOS IN HAMILTONIAN SYSTEMS Second Edition Copyright © 2007 by Imperial College Press All rights reserved. This book, or parts thereof, may not be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system now known or to be invented, without written permission from the Publisher. For photocopying of material in this volume, please pay a copying fee through the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA. In this case permission to photocopy is not required from the publisher. ISBN-13978-1-86094-795-7 ISBN-101-86094-795-6 Printed in Singapore. Lakshmi - Phys of Chaos.pmd 1 4/5/2007, 11:32 AM PREFACE TO THE FIRST EDITION The term chaos is often used to describe the phenomena in which the system’s trajectories are sensitive to the slightest changes in initial conditions. In reality, the properties of such motion resemble those of random motion. If one restricts oneself to Hamiltonian systems with area-preserving dynamics, the above de(cid:12)nition of chaos would appear perplexing. Can a trajectory be chaotic at times and \regular" for the rest of the time? How does a regular trajectory transform itself into a chaotic one? And what type of randomness characterises chaotic dynamics? Fortunately, clear de(cid:12)nitions exist for regular and chaotic motions. Conditionally periodic motion is an example of regular dy- namics. The examples of \ideal" chaotic motion refer to the motion on the negative curvature surface and the so-called Anosov systems. How- ever, real physical systems or their simpli(cid:12)ed models are very di(cid:11)erent from the ideal models on chaos. A good example is that of a pendulum disturbed by a periodic (non-random) force. Our understanding of chaos is fraught with the following di(cid:14)culties. The motion known as chaotic occupies a certain area (called stochastic sea) in the phase space. In ideal chaos, the stochastic sea is occupied in a uniform manner. This is, however, not the case in real systems or models. The phase space contains many \islands" which a chaotic trajectory cannot penetrate. Initially, it had appeared that the e(cid:11)ects of islands could be easily accounted for by simply changing the phase volume of the stochastic sea. We now believe that this is not true and the important properties of chaotic dynamics are in fact determined by the properties of the motion near the boundary of islands. v vi Preface The di(cid:14)culties in understanding Hamiltonian chaos can also be des- cribed in an informal way. While regular and chaotic motions possess some degree of uniformity (monotonity), which is used in their de(cid:12)ni- tions, real chaotic motion boasts intermediate properties (between regular and chaotic motions) that have not been accurately de(cid:12)ned and formulated. Therefore, we can neither use the KAM theory (as the conditions of non-degeneracy are violated in most cases) nor the Sinai’s methodof Markov partitions or related techniques (because thecorrela- tions donot decay exponentially andthe Markov propertyis violated in some areas) and the estimates of Arnold di(cid:11)usion (since a much faster di(cid:11)usion takes place). This book considers many of the di(cid:14)culties described above in analysing Hamiltonian chaos in real systems. The reader is treated to the unconventional application of the fractal dimension to space-time objects, di(cid:11)erent versions of the renormalisation group method, frac- tional kinetics, and Poincar(cid:19)e recurrences theory as well as the more traditional applications of the Poincar(cid:19)e and separatrix maps. Thisbookisusefultothereaderwhohasanundergraduatedegreein physics. It does not include any methods that are beyond the standard mathematical physics techniques except for some fractional calculus which is provided in a special appendix. It is useful to physicists, engineers and those who are interested in the current problems in chaos theory and its applications. While mathematicians will not be able to (cid:12)nd any rigorously proven results here, they will learn about the challenges of \real physics". Towards that end, we have included many examplesofnumericalsimulations. Someoftheexampleswereextracted (and updated) from the author’s previous works. The material covered is based partly on the course o(cid:11)ered by the author at the Courant Institute of Mathematical Sciences and the Department of Physics in New York University. Much of it, however, is new and can be used as a source of information on the new and emerging directions in modern chaos theory applied to physical problems. I would like to thank those who have helped to make this book pos- sible: Sadrilla Abdullaev, Valentine Afraimovich, Sadruddin Benkadda, Mark Edelman, Serge Kassibrakis, Jossy Klafter, Leonid Kuznetsov, Preface vii Boris Niyazov, Alexander Saichev, Don Stevens, Hank Strauss, Michael Shlesinger, Harold Weitzner and Roscoe White, all of whom are co-authors of common publications; Valentine Afraimovich, Leonid Bunimovich, John Lowenstein, Victor Melnikov, Anatoly Neishtadt, Yasha Pesin, Vered Rom-Kedar, Michael Shlesinger and Dimitry Treschev for their numerous discussions; Mark Edelman for his help in the preparation of the (cid:12)gures; Herman Todorov and Leonid Kuznetsov for their help in editing the manuscript; and Pat Struse for preparing the manuscript. PREFACE TO THE SECOND EDITION Afterthe(cid:12)rstpublication ofthebookthereweredi(cid:11)erentdevelopments in the theory and experiments related to a highly complex intermittent character of chaotic dynamics and to the fractional structure of dy- namics and kinetics. To re(cid:13)ect these changes, the second edition of the bookincludes di(cid:11)erent new sections andminor additions in correspond- ing places. There are extensions of the sections related to Maxwell’s Demon and billiards. New sections on Ballistic Mode Islands, Rhombic Billiards, Persistent Fluctuations, and Log-Periodicity can be found. A new Chapter 12 on weak chaos and pseudochaos is also added. Pseudochaos is introduced as random dynamics with zero Lyapunov exponent. As an application of the pseudochaos is the description of fractional kinetics along the Filamented Surfaces that has numerous applications in magneto- and hydrodynamics. Appendices have been considerably modi(cid:12)ed to extend a reference material related to basic formulas of fractional calculus. Di(cid:11)erent misprints and typos of the (cid:12)rst edition are eliminated in the second edition. New sections and references are marked by (*). It is my great pleasure to thank Mark Edelman for his help in preparing the material and (cid:12)gures for the second edition. ix CONTENTS PREFACE TO THE FIRST EDITION v PREFACE TO THE SECOND EDITION ix 1 DISCRETE AND CONTINUOUS MODELS 1 1.1 Coexistence of the Dynamical Order and Chaos 1 1.2 The Standard Map (Kicked Rotator) 3 1.3 The Web-Map (Kicked Oscillator) 8 1.4 Perturbed Pendulum 14 1.5 Perturbed Oscillator 17 1.6 Billiards 19 Conclusions 21 2 SEPARATRIX CHAOS 23 2.1 Nonlinear Resonance and Chain of Islands 23 2.2 Overlapping of Resonances 28 2.3 The Separatrix Map 30 2.4 Stochastic Layer 35 2.5 Hidden Renormalisation Group Near the Separatrix 41 2.6 Renormalisation of Resonances 50 2.7 Stochastic Layer of the Standard Map 51 Conclusions 54 3 THE PHASE SPACE OF CHAOS 56 3.1 Non-universality of the Scenario 56 3.2 Collapsing Islands 63 xi

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