A Glance at the Standard Map

Similar documents
Area-PReserving Dynamics

Hamiltonian Chaos and the standard map

Physics 106b: Lecture 7 25 January, 2018

Symmetries. x = x + y k 2π sin(2πx), y = y k. 2π sin(2πx t). (3)

Lecture 11 : Overview

= 0. = q i., q i = E

Hamiltonian Dynamics

Chaos in the Hénon-Heiles system

Lecture 8 Phase Space, Part 2. 1 Surfaces of section. MATH-GA Mechanics

Chapter 23. Predicting Chaos The Shift Map and Symbolic Dynamics

Symplectic maps. James D. Meiss. March 4, 2008

Solutions for B8b (Nonlinear Systems) Fake Past Exam (TT 10)

Nonlinear dynamics & chaos BECS

Pseudo-Chaotic Orbits of Kicked Oscillators

Chaotic transport through the solar system

ON THE BREAK-UP OF INVARIANT TORI WITH THREE FREQUENCIES

Nonlinear Single-Particle Dynamics in High Energy Accelerators

The Transition to Chaos

Hamiltonian Systems and Chaos Overview Liz Lane-Harvard, Melissa Swager

Torus Maps from Weak Coupling of Strong Resonances

Discontinuous standard map dynamics

Chaos in Hamiltonian systems

Vered Rom-Kedar a) The Department of Applied Mathematics and Computer Science, The Weizmann Institute of Science, P.O. Box 26, Rehovot 76100, Israel

PHY411 Lecture notes Part 5

Topological Bifurcations of Knotted Tori in Quasiperiodically Driven Oscillators

Chaotic motion. Phys 750 Lecture 9

Stickiness in Chaos. G.Contopoulos and M. Harsoula Research Center for Astronomy Academy of Athens, Soranou Efesiou 4, Athens

ANALYTICAL MECHANICS. LOUIS N. HAND and JANET D. FINCH CAMBRIDGE UNIVERSITY PRESS

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

Chapter 19. Circle Map Properties for K<1. The one dimensional circle map. x n+1 = x n + K 2π sin 2πx n, (19.1)

Analysis of Nonlinear Dynamics by Square Matrix Method

In Arnold s Mathematical Methods of Classical Mechanics (1), it

Chaotic motion. Phys 420/580 Lecture 10

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad

7 Two-dimensional bifurcations

April 13, We now extend the structure of the horseshoe to more general kinds of invariant. x (v) λ n v.

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

Two models for the parametric forcing of a nonlinear oscillator

Non-Twist Field Line Mappings for Tokamaks with Reversed Magnetic Shear

AMADEU DELSHAMS AND RAFAEL RAMíREZ-ROS

Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II.

Introduction to Applied Nonlinear Dynamical Systems and Chaos

Robustly transitive diffeomorphisms

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

Nonlinear Dynamics and Chaos

11 Chaos in Continuous Dynamical Systems.

Lectures on Dynamical Systems. Anatoly Neishtadt

Perturbation theory, KAM theory and Celestial Mechanics 7. KAM theory

HYPERBOLIC DYNAMICAL SYSTEMS AND THE NONCOMMUTATIVE INTEGRATION THEORY OF CONNES ABSTRACT

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

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

Hamiltonian Dynamics In The Theory of Abstraction

Lecture 5: Oscillatory motions for the RPE3BP

One dimensional Maps

LECTURE 8: DYNAMICAL SYSTEMS 7

Separatrix Map Analysis for Fractal Scatterings in Weak Interactions of Solitary Waves

Introduction to Accelerator Physics Old Dominion University. Nonlinear Dynamics Examples in Accelerator Physics

Linear and Nonlinear Oscillators (Lecture 2)

Changing coordinates to adapt to a map of constant rank

H. R. Dullin a) Department of Mathematical Sciences, Loughborough University, Loughborough LE11 3TU, United Kingdom

Chapitre 4. Transition to chaos. 4.1 One-dimensional maps

27. Topological classification of complex linear foliations

Mechanisms of Chaos: Stable Instability

Introduction to Dynamical Systems Basic Concepts of Dynamics

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

HÉNON HEILES HAMILTONIAN CHAOS IN 2 D

Chapter 4. Transition towards chaos. 4.1 One-dimensional maps

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations

Quasipatterns in surface wave experiments

B5.6 Nonlinear Systems

Multiperiodic dynamics overview and some recent results

8.1 Bifurcations of Equilibria

The phenomenon: complex motion, unusual geometry

Internal transport barriers in some Hamiltonian systems modeling the magnetic lines dynamics in tokamak

Global theory of one-frequency Schrödinger operators

INVARIANT TORI IN THE LUNAR PROBLEM. Kenneth R. Meyer, Jesús F. Palacián, and Patricia Yanguas. Dedicated to Jaume Llibre on his 60th birthday

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

1 The pendulum equation

Vector Field Topology. Ronald Peikert SciVis Vector Field Topology 8-1

Hamiltonian Chaos. Niraj Srivastava, Charles Kaufman, and Gerhard Müller. Department of Physics, University of Rhode Island, Kingston, RI

Extracting Qualitative Dynamics from Numerical Experiments 1. Extended Abstract

Siegel disk for complexified Hénon map

arxiv: v2 [gr-qc] 8 Nov 2017

Hamiltonian chaos and dark matter

The Homoclinic Tangle and Smale s Horseshoe Map

Meanders and Reconnection-Collision Sequences in the Standard Nontwist Map

6.2 Brief review of fundamental concepts about chaotic systems

Quantum Invariants: Topographical Map of Quantized Actions

Physics Letters A. Conservative generalized bifurcation diagrams. Cesar Manchein a,marcusw.beims b, article info abstract

The role of stochastization in fast MHD phenomena on ASDEX Upgrade

Particle Dynamics in Time-Dependent Stadium-Like Billiards

Hamiltonian Lecture notes Part 3

Nonlinear Dynamics. Moreno Marzolla Dip. di Informatica Scienza e Ingegneria (DISI) Università di Bologna.

H(p 1,...p N,q 1,...q N ) ẋ = f(x) (2) volume. dv = dt volume

Nonlinear Autonomous Systems of Differential

The Breakdown of KAM Trajectories

2 Discrete growth models, logistic map (Murray, Chapter 2)

Finding numerically Newhouse sinks near a homoclinic tangency and investigation of their chaotic transients. Takayuki Yamaguchi

Transcription:

A Glance at the Standard Map by Ryan Tobin Abstract The Standard (Chirikov) Map is studied and various aspects of its intricate dynamics are discussed. Also, a brief discussion of the famous KAM theory that describes the dismemberment of invariant tori and the onset of chaos. Stable/unstable manifolds from a fixed point is portrayed. Introduction Two-dimensional area-preserving map functions have produced many important insights into nonintegrable Hamiltonian systems that would be too complicated to study otherwise. These maps approximate a Poincaré section for Hamiltonian systems. The interesting dynamics of these 2-D maps provide theoritical framework that can be applied to many areas of physics. One pioneer in this work, Boris Chirikov, contributed much progress to the understanding of chaos in Hamiltonian systems. He also developed the Standard (Taylor-Chirikov) areapreserving map defined as (in this paper): θ n+ 1 = θ n +p n+ 1 f, modulo 1 p n+ 1 =p n +K/(2π)sin(2πθ n ) g, modulo 1 (1) In this way the mappings always reside on the unit square. This map was first discovered by Bray Taylor and then was later proposed by Boris Chirkov to model magnetic field lines. θ and p can be considered to respectively represent the position and momentum of a pendulum with an impulsive torque Ksin(x) at the end of the pendulum. K represents the amplitude of the kicks and determines the extent of nonlinearity of the system. The mapping (1) exhibits various properties, at least locally, of many different systems. The measure of nonlinearity, K, influences the amount of chaos in the dynamics. This map is an example of an area-preserving map because the area of the phase space never shrinks or expands as is shown by computing the determinant of the Jacobian. det J = f θ n g θ n f p n = g p n (1 + Kcos(2πθ n ) 1 Kcos(2πθ n ) 1 = 1. (2) Since, it is equal to one there is no shrinking or stretching.

Periodic/Quasiperiodic Orbits Consider the case when K = 0. (1) reduces to p n+ 1 =p n, (mod 1) θ n+ 1 = θ n +p n+ 1, (mod 1) (3) which is integrable and has the obvious solution θ n = θ 0 +np 0 (mod 1)and p n =p 0 (mod 1). Every orbit lies on an invariant torus. The orbits can exhibit periodic or quasiperiodic behavior depending on the initial conditions. If p 0 =M/N for some M,N integers, then trajectory is a period-n orbit. Otherwise, for irrational p 0 the orbit is quasiperiodic and densely fill in the torus.

Figure 1: (TOP) A plot of several trajectories for the case with no nonlinear dependence. The trajectories start with P0 = π/4, 3/4, π/6, ½, ¼, π/15, 1/5. Notice the fixed period-n orbits. (BOTTOM) A plot of many quasiperiodic orbits If K is slightly perturbed from 0, we can see that the basic structure is maintained. It seems that the orbits still traverse horizontally and densely fill the torus. For small K, (1) can be approximated well by derivative, and thus the dynamics are still integrable and most of the invariant tori remain for sufficiently small K.

Figure 2: A plot of many trajectories for K=0.2 and K=0.4. Notice the nonlinear resonances begin to form and grow with K. Nonlinear Resonance We notice that not all of the orbits are part of invariant tori. In fact, we actually some ellipses encircling the period-1 fixed point at (0.5, 0). I will refer to such circles as islands. These circles don t rotate the torus and are bounded by a separatrix curve that segregates the different types of orbits. We can see that Figure 2 closely resembles the phase space of a pendulum. For small K the size of the island increases with K. Also, for increasing K, the island seams to disfigure into an almost increasingly sinusoidal stretching, if it can be called that.

Fixed Points and Linearization The fixed points of the pendulum lie at antipodal ends corresponding to θ=0,.5 and p=0. We see that this also appears true in figure 2. θ = θ + p, (mod 1) p = p + K/2πsin(2πθ), (mod 1) (4) The fixed points are θ=0,.5 and p=0. Directly analogous to the simple pendulum. Since det(j) = 1, the eigenvalues, and thus the stability, of the fixed points are completely determined by Tr(J). Tr(J) = 2+Kcos(2π θ). (5) We can classify the stability of the fixed points based on the eigenvalues and corresponding eigenvectors of the linearized Jacobian (Strogatz). So, λ 1,2 = ½ Tr J ± Tr J) 2 4Δ = ½ 2 + Kcos(2π θ) ± K 2 cos 2 2π θ + 4Kcos(2π θ) v 1,2 = 1 K 2 cos(2π θ) ±½ K2 cos 2 2π θ +4Kcos(2π θ) (6) and Tr(J) < 2 implies fixed point is a center, while Tr(J) > 2 implies fixed point is a saddle point. We find that (0,0) is unstable for K > 0 and (.5,0) stable for 0 < K < 4. These remarks are somewhat apparent in Figure 2. Twist Dynamics One way to get a feel for the way the maps dynamics behave is by looking at its twist features. It can be noticed that the displacement between successive θ increases with increasing p. This is better understood by plotting a line segment of initial conditions for only several iterations. Figure 3 shows how successive iterations tend to twist about the fixed points. Manifolds For each period-n orbit, there are corresponding stable and unstable directions that protrude from the fixed point. For example, a saddle point is evidently at the origin. From stable/unstable manifold theory, we can conjecture that there are manifolds that protrude

from these fixed points and trajectory that has an initial value on the manifold will remain on the manifold indefinitely. The unstable and stable sets, W U and W s, of an invariant set are defined as (7) Where n represents the nth iterate of the standard mapping function f. When represents a saddle point, the eigenvectors point in the directions of the submanifolds. I tried numerous techniques to plot the manifolds and all ended up erroneous. Then I noticed that when I iterated a line segment it would warp until the point where it would start to trace out squiggly lines around the (.5,0) fixed point (figure 4). I tried more iterations and found an iteration that seemed to map out what looked like to me trace out the unstable manifold in the vicinity of the fixed point (figure 5). We can tell it s the unstable manifold because of the eigenvectors. Figure 3: Iteration of an initial line segment. Notice squiggly lines near (.5,0). Also note that this map is shifted to place the fixed point in the middle of the screen. So this point (.5,0), corresponds to the (0,0) point in previous plots.

Figure 4: After the same initial conditions iterated 12 times, we can begin to see what looks like the outlines of the unstable manifold. I changed (1) so as to view the period one fixed point in the center of the plot: θ n+ 1 = θ n +p n+ 1 f, modulo 1 p n+ 1 =p n +K/(2π)sin(2πθ n ) g, modulo 1 (8) I tried a very small (of order 1e-4 in length ), dense, initial line segment along the unstable eigen-direction of the period-1 fixed point. The line segment stretched along the heteroclinic orbit and seemed to come around and squiggle along the other eigen-direction (figure 5). It would be interesting to study interaction of the opposing manifolds and it has been done in great detail (Meiss 1992), but I ran out of time to do so.

Figure 5: Plot of manifold from iteration of small line segment with slightly larger K. Destruction of Invariant Tori As K increases, the nonlinearity of the system increases. The size of the islands will likewise increase. We can see the region where the invariant tori live, is slowly swallowed up with increasing K. Since an invariant torus exist between two resonances, eventually an heteroclinic trajectory will break through the invariant torus joining the two resonances via their opposing manifolds. But this implies that the invariant torus must break because trajectories cannot overlap in 2D. It was Chirikov who initiated investigations into when this occurred. He created a way to approximate when this happened, which was later improved upon. KAM Theory delves into the study of the moments when the invariant tori are dismembered.

Figure 6: We can see that much of the invariant tori in the top image have been destroyed in the bottom. In fact, there are almost no invariant tori left in the bottom figure. KAM Theory The Kolmogorov-Arnold-Moser theorem declares that if the Hamiltonian of a system is nonintegrable, then the only orbits that are not destroyed are orbits with irrational winding numbers that are quasiperiodic. In the 2-D mapping of the Poincaré plane, these trajectories show up as continuous orbits around fixed points. The quasiperiodicity of the trajectories tells that the mapping will never land on the same point the 2D Poincaré plane. This results in a smooth curve (if sufficient quantities of iterations are computed). These orbits are called invariant (KAM) tori.

Kam theory predicts that frequencies that are sufficiently irrational correspond to the longest living invariant tori. As the nonlinearity factor, K, is increased, the nonintegrable components of the map become more apparent. The final invariant torus is destroyed at the point where the irrationality of the winding number corresponding to the last quasiperiodic orbit is farthest from rational. This occurs at the golden-mean ( 1 2 + Fractal Structure and Chaos 5 2 1.61). Upon zooming in on the edges of some of these nonlinear resonances, we see that there are even smaller islands that mimic the behavior of the larger ones. In fact all this talk of manifolds and invariant tori, can also be seen on this smaller scales as well. There are infinite many fixed points due to the fact that there are infinite many rational numbers corresponding to some period-n orbits. We can see this in this in the different plots of figure 7.

Figure 7: Various levels of magnification for K = 1.0.

Figure 8: (TOP) After global chaos has occured. (BOTTOM) A single trajectory demonstrating that chaos has taken over.

References Chirikov B.V., "Research concerning the theory of nonlinear resonance and stochasticity", Preprint N 267, Institute of Nuclear Physics, Novosibirsk (1969), (Engl. Trans., CERN Trans. 71-40 (1971)) Meiss, J. D., Simplectic Maps, Variational Principles, and Transport 1992 APS Strogatz, S. Nonlinear Dynamics and Chaos. Reading, MA: Addison-Wesley, 1994