BUDKER INSTITUTE OF NUCLEAR PHYSICS. B.V. Chirikov and V.V. Vecheslavov MULTIPLE SEPARATRIX CROSSING: CHAOS STRUCTURE. Budker INP NOVOSIBIRSK

Similar documents
NON-STATIONARY RESONANCE DYNAMICS OF THE HARMONICALLY FORCED PENDULUM

9 Facta Universitatis ser.: Elect. and Energ. vol. 11, No.3 è1998è this paper we have considered shaping gain for two interesting quantization procedu

Figure 1: Startup screen for Interactive Physics Getting Started The ærst simulation will be very simple. With the mouse, select the circle picture on

Brazilian Journal of Physics, vol. 28, no. 3, September, Transitions Between Periodic Orbits and Control of

Computational Physics (6810): Session 8

Linear and Nonlinear Oscillators (Lecture 2)

A Glance at the Standard Map

A New Invariance Property of Lyapunov Characteristic Directions S. Bharadwaj and K.D. Mease Mechanical and Aerospace Engineering University of Califor

Lecture 1. Introduction. The importance, ubiquity, and complexity of embedded systems are growing

arxiv:cond-mat/ v1 29 Dec 1996

The total current injected in the system must be zero, therefore the sum of vector entries B j j is zero, è1;:::1èb j j =: Excluding j by means of è1è

problem of detection naturally arises in technical diagnostics, where one is interested in detecting cracks, corrosion, or any other defect in a sampl

Wç;Ze èdiæerential or totalè cross sections can be written schematically as ç = è1 + A 0 P èç un + çèp + A 0 èç pol, where P is the electron's polariz

Bragg scattering of an atomic beam by a standing laser wave with time-periodic amplitude modulation

Quantum Invariants: Topographical Map of Quantized Actions

SPLITTING OF SEPARATRICES FOR (FAST) QUASIPERIODIC FORCING. splitting, which now seems to be the main cause of the stochastic behavior in

Solutions of a PT-symmetric Dimer with Constant Gain-loss

Numerical Computational Techniques for Nonlinear Optimal Control

Method of Averaging for Differential Equations on an Infinite Interval

Physics 106a, Caltech 13 November, Lecture 13: Action, Hamilton-Jacobi Theory. Action-Angle Variables

also has x æ as a local imizer. Of course, æ is typically not known, but an algorithm can approximate æ as it approximates x æ èas the augmented Lagra

Averaging II: Adiabatic Invariance for Integrable Systems (argued via the Averaging Principle)

LECTURE Review. In this lecture we shall study the errors and stability properties for numerical solutions of initial value.

STUDY OF SYNCHRONIZED MOTIONS IN A ONE-DIMENSIONAL ARRAY OF COUPLED CHAOTIC CIRCUITS

Adiabatic Approximation

Assessing the Calibration of Naive Bayes' Posterior. Estimates. Paul N. Bennett. September 12, 2000 CMU-CS Carnegie Mellon University

Mechanics IV: Oscillations

Technical Report No AN APPLICATION OF PARALLEL COMPUTATION TO DYNAMICAL SYSTEMS æ Selim G. Akl and Weiguang Yao School of Computing Queen's

256 Facta Universitatis ser.: Elect. and Energ. vol. 11, No.2 è1998è primarily concerned with narrow range of frequencies near ærst resonance èwhere s

Quantum Chaos as a Practical Tool in Many-Body Physics ESQGP Shuryak fest

Chaotic motion. Phys 750 Lecture 9

Autoresonant excitation and evolution of nonlinear waves:

Klaus Korossy: Linear-Recursive Number Sequence Tasks 44 to be a prime example of inductive reasoning. Inductive reasoning has been an integral part o

A plane autonomous system is a pair of simultaneous first-order differential equations,

tokamak and stellarator geometry, regarding both its physical character and its interaction

Particle Dynamics in Time-Dependent Stadium-Like Billiards

The Phase Transition 55. have a peculiar gravitation in which the probability of merging is

QUANTUM CHAOS IN NUCLEAR PHYSICS

Chapter 2 PARAMETRIC OSCILLATOR

Physics 221B Spring 1997 Notes 31 Adiabatic Invariance, the Geometric Phase, and the Born-Oppenheimer Approximation

Chaos in the Planar Two-Body Coulomb Problem with a Uniform Magnetic Field

Direct observation of free fractional charge elementary particles would be an undisputed signature of physics beyond the Standard Model. In this paper

Lecture 10. Transition probabilities and photoelectric cross sections

Bifurcations of phase portraits of pendulum with vibrating suspension point

David Sagan. In a colliding beam storage ring the Twiss parameters are aæected by the quadrupolar

B2.III Revision notes: quantum physics

Two-Body Problem. Central Potential. 1D Motion

Multiple scale methods

Pasta-Ulam problem. The birth of nonlinear physics and dynamical chaos. Paolo Valentini

A.V. SAVKIN AND I.R. PETERSEN uncertain systems in which the uncertainty satisæes a certain integral quadratic constraint; e.g., see ë5, 6, 7ë. The ad

Parity violation. no left-handed ν$ are produced

A Classical Approach to the Stark-Effect. Mridul Mehta Advisor: Prof. Enrique J. Galvez Physics Dept., Colgate University

2:2:1 Resonance in the Quasiperiodic Mathieu Equation

Davydov Soliton Collisions

Forced Oscillations in a Linear System Problems

arxiv: v1 [nlin.cd] 20 Mar 2017

A Scaled Diæerence Chi-square Test Statistic. Albert Satorra. Universitat Pompeu Fabra. and. Peter M. Bentler. August 3, 1999

Torsion Spring Oscillator with Dry Friction

Continuity of Bçezier patches. Jana Pçlnikovça, Jaroslav Plaçcek, Juraj ç Sofranko. Faculty of Mathematics and Physics. Comenius University

Laboratory for Astronomy & Solar Physics, Code 681, NASAèGSFC, Greenbelt MD

of the BaBar Silicon Vertex Tracker D. Barni, D. Giugni, F. Lanni, F. Palombo Abstract

Quantum Chaos as a Practical Tool in Many-Body Physics

Lecture V : Oscillatory motion and spectral analysis

Dynamics of a double pendulum with distributed mass

Lecture 11 Weak interactions, Cabbibo-angle. angle. SS2011: Introduction to Nuclear and Particle Physics, Part 2

2πi0.j... j. j > 1. R n-1 R 2. R n-2. j > R n. 0> + e 1> n-1. j > 0> + e 1> n-1 n. j > 0> + e 2 n 1>

Stanford Linear Accelerator Center. Abstract. After an extremely brief overview of the discovery reach for Z 0 bosons,

Chaotic motion. Phys 420/580 Lecture 10

On long-term dynamics of slow-fast systems with passages through resonances

W 1 æw 2 G + 0 e? u K y Figure 5.1: Control of uncertain system. For MIMO systems, the normbounded uncertainty description is generalized by assuming

November 9, Abstract. properties change in response to the application of a magnetic æeld. These æuids typically

Measurement of magnetic eld line stochasticity in nonlinearly evolving, Department of Engineering Physics,

Physics 106b: Lecture 7 25 January, 2018

arxiv: v3 [nlin.cd] 19 Nov 2013

Siberian Branch of Russian Academy of Science BUDKER INSTITUTE OF NUCLEAR PHYSICS. B.V. Chirikov POINCAR'E RECURRENCES IN MICROTRON

Regular & Chaotic. collective modes in nuclei. Pavel Cejnar. ipnp.troja.mff.cuni.cz

Radial Basis Functions for Process Control Lyle H. Ungar Tom Johnson Richard D. De Veaux University ofpennsylvania Voice Processing Corp. Princeton Un

NANOSCALE SCIENCE & TECHNOLOGY

Abstract To characterize color values measured by color devices èe.g. scanners, color copiers and color camerasè in a deviceíindependent fashion these

An Exact Local Hybrid Monte Carlo Algorithm. for Gauge Theories. A. D. Kennedy and K. M. Bitar. Supercomputer Computations Research Institute

GRAVITATIONAL WAVES AND THE END OF INFLATION. Richard Easther (Yale)

arxiv: v1 [nlin.cd] 25 May 2017

LECTURE 17. Algorithms for Polynomial Interpolation

Oscillatory Motion. Simple pendulum: linear Hooke s Law restoring force for small angular deviations. small angle approximation. Oscillatory solution

THE DYNAMICS OF CHEMICAL REACTORS WITH HEAT INTEGRATION. John Morud Sigurd Skogestad æ. Chemical Engineering, University oftrondheim-nth

Abstract. subplans to arrive at a more eæcient implementation. Our algorithm improves upon the

Oscillatory Motion. Simple pendulum: linear Hooke s Law restoring force for small angular deviations. Oscillatory solution

Lecture 11 : Overview

BIFURCATIONS AND CHAOS IN A PERIODICALLY FORCED PROTOTYPE ADAPTIVE CONTROL SYSTEM 1

Theory of Adiabatic Invariants A SOCRATES Lecture Course at the Physics Department, University of Marburg, Germany, February 2004

Lagrangian Coherent Structures (LCS)

Two models for the parametric forcing of a nonlinear oscillator

Nonlinear Single-Particle Dynamics in High Energy Accelerators

Dynamics of a double pendulum with distributed mass. Abstract

Theory of selective excitation in stimulated Raman scattering

In the previous chapters we have presented synthesis methods for optimal H 2 and

Quantum chaos on graphs

Transitioning to Chaos in a Simple Mechanical Oscillator

Physics 115/242 Comparison of methods for integrating the simple harmonic oscillator.

FORM 1 Physics 240 í Fall Exam 1 CONTI COULTER GRAFE SKALSEY ZORN. Please æll in the information requested on the scantron answer sheet

Transcription:

BUDKER INSTITUTE OF NUCLEAR PHYSICS B.V. Chirikov and V.V. Vecheslavov MULTIPLE SEPARATRIX CROSSING: CHAOS STRUCTURE Budker INP 2000-1 NOVOSIBIRSK 2000

chaos structure B.V. Chirikov and V.V. Vecheslavov Budker Institute of Nuclear Physics 630090 Novosibirsk, Russia Abstract Numerical experiments on the structure of the chaotic component of motion under multiple crossing of the separatrix of a nonlinear resonance with timeívarying amplitude are described with the main attention to the problem of ergodicity. The results clearly demonstrate nonergodicity of that motion due to the presence of a regular component of relatively small measure with a very complicated structure. A simple 2Dímap per crossing has been constructed which qualitatively describes the main properties of both chaotic and regular components of the motion. An empirical relation for the correlationíaæected diæusion rate has been found including a close vicinity of the chaos border where an evidence of the critical structure has been observed. Some unsolved problems and open questions are also discussed. Email: chirikov@inp.nsk.su Email: vecheslavov@inp.nsk.su cæbudker Institute of Nuclear Physics SB RAS

1 Introduction The present work continues the studies of chaotic motion under a slow separatrix crossing. This is a particular case of adiabatic processes which are very important in physics because of the adiabatic invariance, approximate though, that is of the conservation of action variables èjè under a slow parametric perturbation. The main problem here is the degree of accuracy or of violation of that invariance. Separatrix crossing produces the largest chaotic component in phase space whose size does not depend on the adiabatic parameter æ! 0 which, however, does aæect the detailed structure of the motion as well as its time scale. In our previous paper ë1ë the single separatrix crossing for a particular model was described in detail. Remarkably, a fairly simple relation for such a model in Ref.ë2ë we used turned out to be surprisingly accurate within the most part of the chaotic component. In this paper we discribe the results of numerical experiments on multiple separatrix crossing. We focus on statistical properties of the motion, including the structure and measure of regular component disseminated into the chaotic 'sea' in a rather tricky way. The existence of regular component means nonergodicity of the motion, the question which has remained unclear for a long time until recently. To our knowledge, the nonergodicity of motion in a similar model was ærst predicted theoretically and estimated numerically in Ref.ë3ë. We have conærmed this result by diæerent methods, and found many other characteristics of the motion structure. The present work, as well as the previous one ë1ë, was stimulated by a very interesting study of the corresponding quantum adiabaticity ë4ë. We use the same classical model which is brieæy described, for reader's convenience, in the next Section èfor details see Ref.ë1ëè. 3

The model is speciæed by the Hamiltonian: Hèx; p; tè = p2 2 + A 0 sin èætè æ cos x; è2:1è which describes a single nonlinear resonance in the pendulum approximation èsee, e.g., Ref.ë5, 6ëè with a timeívarying amplitude Aètè = A 0 sin èætè : è2:2è The dimensionless adiabaticity parameter is deæned in the usual way as the ratio of perturbationèoscillation frequencies: æ = æ p A0 ; è2:3è where p A 0 is constant frequency of the small pendulum oscillation for the maximal amplitude. Two branches of the instant, or 'frozen', separatrix at some t = const are given by the relation p s èx 0 ; tè =æ2 p ç ç ç x 0 x; Aètè é 0 jaètèjæsin ; x 0 = 2 x, ç; Aètè é 0 : è2:4è Following previous studies of separatrix crossing we restrict ourselves below to this frozen approximation. As was shown in Ref.ë1ë the latter provides quite good accuracy of fairly simple theoretical relations. In this approximation the action variable is deæned in the standard way as J = 1 2ç I pèxè dx ; è2:5è where integral is taken over the whole period for x rotation èoæ the resonanceè and over a half of that for x oscillation èinside the resonanceè. This diæerence is necessary to avoid the discontinuity of J at separatrix where the action is given by a simple expression J = J s ètè = 4 ç p jaètèj çjmax = 4 ç p A 0 : è2:6è At æt =0èmod çè the action J = jpj, and the conjugated phase ç = x. Notice that unlike p the action J ç 0isnever negative. 4

transformation: J=J max! J. Then, the crossing region swept by separatrix is the unit interval, and J is simply related to the crossing time t = t cr by the expression jaèt cr èj = J 2 ; 0 ç J ç 1 è2:7è while the adiabaticity parameter becomes æ = æ. Numerical integration of the motion equations for Hamiltonian è2.1è was performed in èx; pè variables using two algorithms. In most cases it was the so-called bilateral symplectic fourth-order Runge-Kutta algorithm as in Ref.ë1ë. However, in a few most long runs we applied a very simple and also symplectic ærstíorder algorithm like in Ref.ë2ë which is actually the well known standard map ë5ë with the timeívarying parameter: ~p = ~p + A ~ ç ç 0 æ sin ~æ t ~ æ sin x; x = x + ~p; è2:8è where tilde marks the new set of quantities rescaled by the transformation ~A 0 = 1 s 2 ; ~ t = st ; ~æ= æ s ; ~p = p s : è2:9è Here s is the scaling parameter, and we remind that A 0 = 1. The primary goal of the rescaling was decreasing parameter ~ A 0 which controls the computation accuracy. Usually, itwas around ~ A0 ç 0:1. As is well known, the variation of J under adiabatic perturbation consists of the two qualitatively diæerent parts: èiè the average action which is nearly constant between the crossings, up to an exponentially small correction, and which is of primary interest in our problem, and èiiè the rapid oscillation with the motion frequency. The ratio of the two time scales is ç æ= p jaètèj ç1 which allows for eæcient suppression of the second unimportant part of J variation by a simple averaging of Jètè over a long time interval ç 1=æ èsee Ref.ë1ëè. 3 Ergodicity The ergodicity is the weakest statistical property in dynamical systems èsee, e.g., Ref.ë7ëè. Nevertheless, it is an important characteristic of the motion, necessary in the statistical theory èsee, e.g., Ref.ë8ëè. The question of ergodicity of the motion under separatrix crossing remained open for a long time until recently. The upper bound for the measure èphaseíspace areaè of a separate domain with regular motion è'stability islet'è was estimated in Ref.ë9ë asç 1 é ç æ. 5

ærst predicted theoretically and estimated numerically in Ref.ë3ë. The authors directly calculated the number and positions of stable trajectories for two diæerent periods. Moreover, they were able to locate some of them in computation, and thus to measure their area in phase space which turned out to be surprisingly small. Here, we make use of a diæerent, statistical, approach. To this end, we ærst obtain from numerical experiments the steadyístate distribution f s èjè in the action. In case of ergodic motion it should be constant. Examples of the distribution are shown in Fig.1 with the parameters listed in the Table below. Table. Regular component under separatrix crossing n æ ç r æ 10 2 T æ N tr N b 1 0:1 0:68 æ 0:2 2 æ 10 3 æ 1000 200 2 0:05 0:75 æ 0:06 4 æ 10 5 æ 200 500 3 0:033 0:70 æ 0:2 4 æ 10 5 æ 200 200 4 0:033 0:81 æ 0:08 4 æ 10 5 æ 150 500 5 0:02 0:60 æ 0:05 2 æ 10 6 æ 100 200 6 0:01 0:75 æ 0:04 4 æ 10 6 æ 100 200 æ í parameter of adiabaticity ç r í total relative measure of regular component T í number of separatrix crossings for each ofn tr trajectories N b í number of histogram bins in Fig.1 n í reference number for Fig.1 The striking feature of all the distributions is clear and rather speciæc inhomogeneity, reminiscent of a burst of 'icicles' hanging down from a nearly 'ergodic roof'. This directly demonstrates the generic nonergodic character of motion under separatrix crossing. The histograms normalized in such a way that for ergodic motion the distribution f s èjè = 1 while the sum over all the bins is also unity for any distribution. As a result the dips in the distribution è'icicles'è, indicating the regular component, are compensated by an increase in the ergodic background. The latter is clearly seen in all distributions, especially for small J, and is a measure of the regular component. Namely, the relative measure èshareè is given by the approximate relation ç r ç éf s èjè, 1 é; J é J 1 ; è3:1è 6