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Preface | ||
1 | Introduction | 1 |
2 | Fractals | 3 |
2.1 | A Cantor set | 4 |
2.2 | The Koch triadic island | 5 |
2.3 | Fractal dimensions | 7 |
3 | The logistic map | 9 |
3.1 | The linear map | 9 |
3.2 | Definition of the logistic map. Scaling and translation transformations | 10 |
3.3 | The fixed points and their stability | 11 |
3.4 | Period two | 14 |
3.5 | The period doubling route to chaos. Feigenbaum's constants | 15 |
3.6 | Chaos and strange attractors | 16 |
3.7 | The critical point and its iterates | 17 |
3.8 | Self-similarity, scaling and universality | 19 |
3.9 | Reversed bifurcations. Crisis | 21 |
3.10 | Lyapunov exponents | 23 |
3.11 | Statistical properties of chaotic orbits | 26 |
3.12 | Dimensions of attractors | 27 |
3.13 | Tangent bifurcations and intermittency | 29 |
3.14 | Exact results at [lambda] = 1 | 31 |
3.15 | Predicted power spectra. Critical exponents. Effect of noise | 33 |
3.16 | Experiments relevant to the logistic map | 34 |
3.17 | Poincare maps and return maps | 35 |
3.18 | Closing remarks on the logistic map | 37 |
4 | The circle map | 38 |
4.1 | The fixed points | 38 |
4.2 | Circle maps near K = 0. Arnol'd tongues | 39 |
4.3 | The critical value K = 1 | 42 |
4.4 | Period two, bimodality, superstability and swallowtails | 42 |
4.5 | Where can there be chaos? | 45 |
5 | Higher dimensional maps | 49 |
5.1 | Linear maps in higher dimensions | 49 |
5.2 | Manifolds. Homoclinic and heteroclinic points | 52 |
5.3 | Lyapunov exponents in higher dimensional maps | 54 |
5.4 | The Kaplan-Yorke conjecture | 56 |
5.5 | The Hopf bifurcation | 57 |
6 | Dissipative maps in higher dimensions | 58 |
6.1 | The Henon map | 58 |
6.2 | The complex logistic map | 62 |
6.3 | Two-dimensional coupled logistic map | 65 |
7 | Conservative maps | 80 |
7.1 | The twist map | 80 |
7.2 | The KAM theorem | 83 |
7.3 | The rings of Saturn | 83 |
8 | Cellular automata | 87 |
9 | Ordinary differential equations | 92 |
9.1 | Fixed points. Linear stability analysis | 94 |
9.2 | Homoclinic and heteroclinic orbits | 95 |
9.3 | Lyapunov exponents for flows | 97 |
9.4 | Hopf bifurcations for flows | 98 |
10 | The Lorenz model | 101 |
11 | Time series analysis | 107 |
11.1 | Fractal dimension from a time series | 107 |
11.2 | Autoregressive models | 109 |
11.3 | Rescaled range analysis | 113 |
11.4 | The global temperature: an example | 115 |
App. A1 Period three in the logistic map | 119 | |
App. A2 Lyapunov exponents algorithm | 122 | |
A2.1 | Lyapunov exponents for maps | 122 |
A2.2 | Lyapunov exponents for flows | 123 |
A2.3 | Practical hints | 124 |
Further Reading | 126 | |
Index | 128 |
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Add Introduction to chaos and coherence, This text provides a broad introduction to chaos and explains with a minimum of mathematical complexity the key aspects of the field. It includes full colour illustrations. The mathematics is kept to an accessible level, giving this book a very broad appe, Introduction to chaos and coherence to the inventory that you are selling on WonderClubX
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Add Introduction to chaos and coherence, This text provides a broad introduction to chaos and explains with a minimum of mathematical complexity the key aspects of the field. It includes full colour illustrations. The mathematics is kept to an accessible level, giving this book a very broad appe, Introduction to chaos and coherence to your collection on WonderClub |