What are some computer programs for studying chaotic systems?

AI Thread Summary
A user is seeking a computer program suitable for studying chaotic systems, specifically for drawing bifurcation diagrams as part of an introductory chaos and non-linear dynamics course. They mention familiarity with Matlab and Mathematica but express concerns about their high costs and their own limited experience with these tools. The user is looking for alternative software options that could facilitate the required computations for topics covered in the referenced textbook, which includes chapters on one-dimensional maps, chaos, fractals, and bifurcations. They also share a link to a simple HTML5 program for solving Chua's circuit equations, suggesting it as a potential resource for visualizing chaotic systems. The discussion emphasizes the need for updated software recommendations due to the rapid advancements in computer programs.
WiFO215
Messages
416
Reaction score
1
I need a computer program I can use for studying chaotic systems. I should be more particular. I need something for drawing bifurcation diagrams or whatever one does in an introductory chaos and non-linear dynamics class. Here is a link to the text being used :

https://www.amazon.com/dp/0387946772/?tag=pfamazon01-20

I suppose I'll be covering chapters 1-7 or something along those lines.

I know of two programs - Matlab and Mathematica. Having never worked with either of this seriously before, (I've tinkered around with Mathematica) I was wondering how I'd go about doing the computations required by me.

I checked the previous threads on these topics, but they were 'old'. At the rate at which computer software is growing, a thread from a year back is history. There might have been a billion changes to both programs.

I also see that both programs are phenomenally expensive. If you guys have suggestions for any alternative programs that might do the trick, please recommend.
 
Last edited by a moderator:
Physics news on Phys.org
Here are the contents of the book:

Table of Contents

CHAPTER 1. One-Dimensional Maps
1.1 One-dimensional maps
1.2 Cobweb plot: Graphical representation of an orbit
1.3 Stability of fixed points
1.4 Periodic points
1.5 The family of logistic maps
1.6 The logistic map G(x)=4x(1-x)
1.7 Sensitive dependence on initial conditions
1.8 Itineraries
Challenge 1: Period three implies chaos
Exercises
Lab Visit 1: Boom, bust, and chaos in the beetle censusCHAPTER 2. Two-Dimensional Maps
2.1 Mathematical models
2.2 Sinks, sources, and saddles
2.3 Linear maps
2.4 Coordinate changes
2.5 Nonlinear maps and the Jacobian matrix
2.6 Stable and unstable manifolds
2.7 Matrix times circle equals ellipse
Challenge 2: Counting the periodic orbits of linear maps on a torus
Exercises
Lab Visit 2: Is the solar system stable?CHAPTER 3. Chaos
3.1 Lyapunov Exponents
3.2 Chaotic orbits
3.3 Conjugacy and the logistic map
3.4 Transition graphs and fixed points
3.5 Basins of attraction
Challenge 3: Sharkovsky's Theorem
Exercises
Lab Visit 3: Periodicity and chaos in a chemical reactionCHAPTER 4. Fractals
4.1 Cantor sets
4.2 Probabilistic constructions of fractals
4.3 Fractals from deterministic systems
4.4 Fractal basin boundaries
4.5 Fractal dimension
4.6 Computing the box-counting dimension
4.7 Correlation dimension
Challenge 4: Fractal basin boundaries and the uncertainty exponent
Exercises
Lab Visit 4: Fractal dimension in experimentsCHAPTER 5. Chaos in Two-Dimensional Maps
5.1 Lyapunov exponents
5.2 Numerical calculation of Lyapunov exponents
5.3 Lyapunov dimension
5.4 A two-dimensional fixed-point theorem
5.5 Markov partitions
5.6 The horseshoe map
Challenge 5: Computer calculations and shadowing
Exercises
Lab Visit 5: Chaos in simple mechanical devicesCHAPTER 6. Chaotic Attractors
6.1 Forward limit sets
6.2 Chaotic attractors
6.3 Chaotic attractors of expanding interval maps
6.4 Measure
6.5 Natural measure
6.6 Invariant measure for one-dimensional maps
Challenge 6: Invariant measure for the logistic map
Exercises
Lab Visit 6: Fractal scumCHAPTER 7. Differential Equations
7.1 One-dimensional linear differential equations
7.2 One-dimensional nonlinear differential equations
7.3 Linear differential equations in more than one dimension
7.4 Nonlinear systems
7.5 Motion in a potential field
7.6 Lyapunov functions
7.7 Lotka-Volterra models
Challenge 7: A limit cycle in the Van der Pol system
Exercises
Lab Visit 7: Fly vs. flyCHAPTER 8. Periodic Orbits and Limit Sets
8.1 Limit sets for planar differential equations
8.2 Properties of omega-limit sets
8.3 Proof of the Poincare-Bendixson Theorem
Challenge 8: Two incommensurate frequencies form a torus
Exercises
Lab Visit 8: Steady states and periodicity in a squid neuronCHAPTER 9. Chaos in Differential Equations
9.1 The Lorenz attractor
9.2 Stability in the large, instability in the small
9.3 The Rossler attractor
9.4 Chua's circuit
9.5 Forced oscillators
9.6 Lyapunov exponents in flows
Challenge 9: Synchronization of chaotic orbits
Exercises
Lab Visit 9: Lasers in synchronizationCHAPTER 10. Stable Manifolds and Crises
10.1 The Stable Manifold Theorem
10.2 Homoclinic and heteroclinic points
10.3 Crises
10.4 Proof of the Stable Manifold Theorem
10.5 Stable and unstable manifolds for higher dimensional maps
Challenge 10: The lakes of Wada
Exercises
Lab Visit 10: The leaky faucet: minor irritation or crisis?CHAPTER 11. Bifurcations
11.1 Saddle-node and period-doubling bifurcations
11.2 Bifurcation diagrams
11.3 Continuability
11.4 Bifurcations of one-dimensional maps
11.5 Bifurcations in plane maps: Area-contracting case
11.6 Bifurcations in plane maps: Area-preserving case
11.7 Bifurcations in differential equations
11.8 Hopf bifurcations
Challenge 11: Hamiltonian systems and the Lyapunov Center Theorem
Exercises
Lab Visit 11: Iron + sulfuric acid = Hopf bifurcationCHAPTER 12. Cascades
12.1 Cascades and 4.66920169...
12.2 Schematic bifurcation diagrams
12.3 Generic bifurcations
12.4 The cascade theorem
Challenge 12: Universality in bifurcation diagrams
Exercises
Lab Visit 12: Experimental cascadesCHAPTER 13. State reconstruction from data
13.1 Delay plots and time series
13.2 Delay coordinates
13.3 Embedology
Challenge 13: Box-counting dimension and intersection

APPENDIX A. Matrix Algebra
A.1 Eigenvalues and eigenvectors
A.2 Coordinate changes
A.3 Matrix times circle equals ellipse

APPENDIX B. Computer Solution of ODEs
B.1 ODE solvers
B.2 Error in numerical integration
B.3 Adaptive step-size methods

HINTS AND ANSWERS TO SELECTED EXERCISES

BIBLIOGRAPHY
 
here is a simple HTML5 program (javascript) used for solving Chua's circuit equations:
http://www.chuacircuits.com/sim.php"

you have to view the source code and the attached file www.chuacircuits.com/canvas3DGraph.js

But the page itself is great an introductory look at the strange attractor/double scroll.
 
Last edited by a moderator:
After a year of thought, I decided to adjust my ratio for applying the US/EU(+UK) schools. I mostly focused on the US schools before, but things are getting complex and I found out that Europe is also a good place to study. I found some institutes that have professors with similar interests. But gaining the information is much harder than US schools (like you have to contact professors in advance etc). For your information, I have B.S. in engineering (low GPA: 3.2/4.0) in Asia - one SCI...
I graduated with a BSc in Physics in 2020. Since there were limited opportunities in my country (mostly teaching), I decided to improve my programming skills and began working in IT, first as a software engineer and later as a quality assurance engineer, where I’ve now spent about 3 years. While this career path has provided financial stability, I’ve realized that my excitement and passion aren’t really there, unlike what I felt when studying or doing research in physics. Working in IT...
Hello, I’m an undergraduate student pursuing degrees in both computer science and physics. I was wondering if anyone here has graduated with these degrees and applied to a physics graduate program. I’m curious about how graduate programs evaluated your applications. In addition, if I’m interested in doing research in quantum fields related to materials or computational physics, what kinds of undergraduate research experiences would be most valuable?
Back
Top