+ All Categories
Home > Documents > Abstract

Abstract

Date post: 23-Feb-2016
Category:
Upload: aelan
View: 36 times
Download: 0 times
Share this document with a friend
Description:
Hénon-Heiles Hamiltonian – Chaos In 2-D Modeling Chaos & Complexity – 2008 Youval Dar UCD Physics Dept. [email protected]. Abstract Chaos in two degrees of freedom (4 coordinates), demonstrated by using the Hénon-Heiles Hamiltonian. Introduction. - PowerPoint PPT Presentation
Popular Tags:
14
HÉNON-HEILES HAMILTONIAN – CHAOS IN 2-D MODELING CHAOS & COMPLEXITY – 2008 YOUVAL DAR UCD PHYSICS DEPT. [email protected] ABSTRACT Chaos in two degrees of freedom (4 coordinates), demonstrated by using the Hénon-Heiles Hamiltonian
Transcript
Page 1: Abstract

HÉNON-HEILES HAMILTONIAN – CHAOS IN 2-DMODELING CHAOS & COMPLEXITY – 2008

YOUVAL DARUCD PHYSICS DEPT.

[email protected]

ABSTRACTChaos in two degrees of freedom (4 coordinates), demonstrated

by using the Hénon-Heiles Hamiltonian

Page 2: Abstract

INTRODUCTION

• In 1964, Michael Hénon and Carl Heiles were investigating the motion of a star around a galactic center

• Hamiltonian equations – typical physical problem

• We have energy conservation, so we do not want the phase space to contract

• Interesting dynamic with chaotic and non-chaotic regions

Page 3: Abstract

Introduction continued• The Hamiltonian governing this motion will have

three degrees of freedom (6 coordinates in phase space)

• Hénon and Heiles wanted to simplify the problem – Energy conservation – Angular momentum conservation (due to the

cylindrical symmetry) – Observation, motion is confined into two dimensions

• Chose to use a near elliptic motion Hamiltonian• Poincaré plots – as a tool to investigate dynamics

Page 4: Abstract

The Hamiltonian22

22

31 12 2 2

sin(3

3 )r ppH krm m

rr

222 32 21 ( )

2 21( )32

yxpp

H k x x yym

ym

2 2 2 2 321 ( 13

)2 x yH xp p x yy y

Page 5: Abstract

2 2

2

x

y

x

y

x py p

p x xy

p y x y

20, 0

10, , x is a func of E2

x xyx yor

x y

Fixed Points

Basic Analysis

Page 6: Abstract

0 0 1 00 0 0 1

1 2 2 0 02 1 2 0 0

Jy xx y

2 2( ) 1 4 4 4( ) 0

Det J x y yTr J

1,2

3,4

1 2 2

1 2 2

x y

x y

2 2 3

2

2( ) 1 4 4 , 0 23

1( ) 4 , 1/ 62

Det J y y with x E y y

Det J x with y E

Using the energy conservationFor x = 0 Det(J) = 1 only for y = 0For y = -1/2 |Det(J)|=1 for x = 0.25

Alarming since I expected the Det(J) to be 1 all the time

Sums to zero, can be only real or only imaginary

Page 7: Abstract

2 2 2 31 1( , ) ( 2 )2 3

V x y x y x y y

The Potential

• Show The Mathematica Potential plots• 3D Python• Poincaré - Python

Looking at the dynamics of the system using Poincaré, instead of LCE.

The extremum points I found were(0, 0), (0, 1), ( 3/2, -1/2), (- 3/2, -1/2)

Page 8: Abstract
Page 9: Abstract
Page 10: Abstract
Page 11: Abstract
Page 12: Abstract

Poincaré interpretation

• In the potential whale we can get both some regular orbit and chaotic once

• As we get closer to the saddle points line the percent of the chaotic region in phase space increases

• At the edges of the region we get elliptic orbits

• Chaos onset – around 1/9

2 3 22( 2 0)3xp E y y

Page 13: Abstract
Page 14: Abstract

More questions• Going back to the original star motion problem,

it would be interesting to know if stars are found in some typical energy or region of the phase space, and to make some Y vs. X plots

• Lyapunov Exponents analysis• Exploring more initial conditions• Use a different plane for the Poincaré plot• Improve program’s user interface, intersection

plane


Recommended