CHAOS: An Introduction to Dynamical Systems
 by K. Alligood, T. Sauer, J.A. Yorke 
 Springer-Verlag 1997 
 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 census  
  
 
-  CHAPTER 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 reaction  
 
   
- CHAPTER 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 experiments  
 
   
- CHAPTER 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 devices 
 
   
- CHAPTER 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 scum 
 
   
- CHAPTER 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. fly  
 
   
- CHAPTER 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 neuron 
 
   
- CHAPTER 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 synchronization  
 
   
- CHAPTER 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 bifurcation 
 
   
- CHAPTER 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 cascades  
 
   
- CHAPTER 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