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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Topologi

    Topology of Chaos

    Alice in Stretch and Squeezeland

    AvRobert Gilmore,Marc Lefranc

    Inbunden, Engelska, 2011

    1 331 kr

    Tillfälligt slut

    Beskrivning

    A highly valued resource for those who wish to move from the introductory and preliminary understandings and the measurement of chaotic behavior to a more sophisticated and precise understanding of chaotic systems. The authors provide a deep understanding of the structure of strange attractors, how they are classified, and how the information required to identify and classify a strange attractor can be extracted from experimental data.In its first edition, the Topology of Chaos has been a valuable resource for physicist and mathematicians interested in the topological analysis of dynamical systems. Since its publication in 2002, important theoretical and experimental advances have put the topological analysis program on a firmer basis. This second edition includes relevant results and connects the material to other recent developments. Following significant improvements will be included:* A gentler introduction to the topological analysis of chaotic systems for the non expert which introduces the problems and questions that one commonly encounters when observing a chaotic dynamics and which are well addressed by a topological approach: existence of unstable periodic orbits, bifurcation sequences, multistability etc.* A new chapter is devoted to bounding tori which are essential for achieving generality as well as for understanding the influence of boundary conditions. * The new edition also reflects the progress which had been made towards extending topological analysis to higher-dimensional systems by proposing a new formalism where evolving triangulations replace braids. * There has also been much progress in the understanding of what is a good representation of a chaotic system, and therefore a new chapter is devoted to embeddings.* The chapter on topological analysis program will be expanded to cover traditional measures of chaos. This will help to connect those readers who are familiar with those measures and tests to the more sophisticated methodologies discussed in detail in this book.* The addition of the Appendix with both frequently asked and open questions with answers gathers the most essential points readers should keep in mind and guides to corresponding sections in the book. This will be of great help to those who want to selectively dive into the book and its treatments rather than reading it cover to cover. What makes this book special is its attempt to classify real physical systems (e.g. lasers) using topological techniques applied to real date (e.g. time series). Hence it has become the experimenter?s guidebook to reliable and sophisticated studies of experimental data for comparison with candidate relevant theoretical models, inevitable to physicists, mathematicians, and engineers studying low-dimensional chaotic systems.

    Produktinformation

    • Utgivningsdatum:2011-11-16
    • Mått:180 x 246 x 32 mm
    • Vikt:1 288 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:618
    • Upplaga:2
    • Förlag:Wiley-VCH Verlag GmbH
    • ISBN:9783527410675

    Utforska kategorier

    • Topologi inom Naturvetenskap och teknik

    Mer om författaren

    ROBERT GILMORE, PhD, is a professor in the Physics Department of Drexel University, Philadelphia, Pennsylvania.MARC LEFRANC, PhD, is a researcher at the Centre National de la Recherche Scientifique in the Laboratoire de Physique des Lasers, Atomes, Molecules at the Universite des Sciences et Technologies de Lille, France.The authors are internationally recognized leaders in the field who have been developing these techniques for about two decades. As active members in the community they are knowledgeable about the broader context of their book's subject.

    Recensioner i media

    On the first edition "A short review can only hint at the wealth of ideas here...highly recommended." (Choice, Vol. 40, No. 7, March 2003) "In this third book Gilmore and Lefranc step one more rung up the ladder of dynamical complexity..." (American Journal of Physics, Vol. 71, No. 5, May 2003) "This authoritative monograph advances innovative methods for the analysis of chaotic systems." (Journal of Mathematical Psychology, Vol. 47, 2003)

    Innehållsförteckning

    • Preface to Second Edition xviiPreface to the First Edition xix1 Introduction 11.1 Brief Review of Useful Concepts 21.2 Laser with Modulated Losses 41.3 Objectives of a New Analysis Procedure 111.4 Preview of Results 121.5 Organization of This Work 142 Discrete Dynamical Systems: Maps 192.1 Introduction 192.2 Logistic Map 202.3 Bifurcation Diagrams 222.4 Elementary Bifurcations in the Logistic Map 252.5 Map Conjugacy 322.6 Fully Developed Chaos in the Logistic Map 342.7 One-Dimensional Symbolic Dynamics 422.8 Shift Dynamical Systems, Markov Partitions, and Entropy 592.9 Fingerprints of Periodic Orbits and Orbit Forcing 702.10 Two-Dimensional Dynamics: Smale’s Horseshoe 772.11 Hénon Map 852.12 Circle Maps 962.13 Annulus Maps 1002.14 Summary 1043 Continuous Dynamical Systems: Flows 1053.1 Definition of Dynamical Systems 1053.2 Existence and Uniqueness Theorem 1063.3 Examples of Dynamical Systems 1073.4 Change of Variables 1203.5 Fixed Points 1253.6 Periodic Orbits 1313.7 Flows Near Nonsingular Points 1343.8 Volume Expansion and Contraction 1363.9 Stretching and Squeezing 1373.10 The Fundamental Idea 1383.11 Summary 1394 Topological Invariants 1414.1 Stretching and Squeezing Mechanisms 1414.2 Linking Numbers 1454.3 Relative Rotation Rates 1594.4 Relation between Linking Numbers and Relative Rotation Rates 1694.5 Additional Uses of Topological Invariants 1704.6 Summary 1745 Branched Manifolds 1755.1 Closed Loops 1755.2 What Does This Have to Do with Dynamical Systems? 1785.3 General Properties of Branched Manifolds 1785.4 Birman–Williams Theorem 1815.5 Relaxation of Restrictions 1845.6 Examples of Branched Manifolds 1865.7 Uniqueness and Nonuniqueness 1945.8 Standard Form 2005.9 Topological Invariants 2015.10 Additional Properties 2075.11 Subtemplates 2165.12 Summary 2246 Topological Analysis Program 2276.1 Brief Summary of the Topological Analysis Program 2276.2 Overview of the Topological Analysis Program 2286.3 Data 2346.4 Embeddings 2436.5 Periodic Orbits 2566.6 Computation of Topological Invariants 2626.7 Identify Template 2636.8 Validate Template 2646.9 Model Dynamics 2656.10 Validate Model 2686.11 Summary 2707 FoldingMechanisms: A 2 2717.1 Belousov–Zhabotinskii Chemical Reaction 2727.2 Laser with Saturable Absorber 2857.3 Stringed Instrument 2887.4 Lasers with Low-Intensity Signals 2947.5 The Lasers in Lille 2977.6 The Laser in Zaragoza 3227.7 Neuron with Subthreshold Oscillations 3287.8 Summary 3348 TearingMechanisms: A 3 3378.1 Lorenz Equations 3378.2 Optically Pumped Molecular Laser 3438.3 Fluid Experiments 3528.4 Why A 3 ? 3548.5 Summary 3549 Unfoldings 3579.1 Catastrophe Theory as a Model 3579.2 Unfolding of Branched Manifolds: Branched Manifolds as Germs 3629.3 Unfolding within Branched Manifolds: Unfolding of the Horseshoe 3659.4 Missing Orbits 3759.5 Routes to Chaos 3779.6 Orbit Forcing and Topological Entropy: Mathematical Aspects 3789.7 Topological Measures of Chaos in Experiments 3839.8 Summary 38910 Symmetry 39110.1 Information Loss and Gain 39110.2 Cover and Image Relations 39310.3 Rotation Symmetry 1: Images 39410.4 Rotation Symmetry 2: Covers 40010.5 Peeling: a New Global Bifurcation 40410.6 Inversion Symmetry: Driven Oscillators 40710.7 Duffing Oscillator 40910.8 Van der Pol Oscillator 41310.9 Summary 41811 Bounding Tori 41911.1 Stretching & Folding vs. Tearing & Squeezing 42011.2 Inflation 42111.3 Boundary of Inflation 42211.4 Index 42311.5 Projection 42411.6 Nature of Singularities 42611.7 Trinions 42711.8 Poincaré Surface of Section 42911.9 Construction of Canonical Forms 42911.10 Perestroikas 43211.11 Summary 43512 Representation Theory for Strange Attractors 43712.1 Embeddings, Representations, Equivalence 43812.2 Simplest Class of Strange Attractors 43912.3 Representation Labels 44012.4 Equivalence of Representations with Increasing Dimension 44612.5 Genus-g Attractors 45012.6 Representation Labels 45112.7 Equivalence in Increasing Dimension 45312.8 Summary 45513 Flows in Higher Dimensions 45713.1 Review of Classification Theory in R 3 45713.2 General Setup 45913.3 Flows in R 4 46213.4 Cusps in Weakly Coupled, Strongly Dissipative Chaotic Systems 46613.5 Cusp Bifurcation Diagrams 47013.6 Nonlocal Singularities 47513.7 Global Boundary Conditions 47713.8 From Braids to Triangulations: toward a Kinematics in Higher Dimensions 48113.9 Summary 49014 Program for Dynamical Systems Theory 49314.1 Reduction of Dimension 49414.2 Equivalence 49614.3 Structure Theory 49714.4 Germs 49814.5 Unfolding 50014.6 Paths 50214.7 Rank 50214.8 Complex Extensions 50414.9 Coxeter–Dynkin Diagrams 50414.10 Real Forms 50614.11 Local vs. Global Classification 50714.12 Cover–Image Relations 50814.13 Symmetry Breaking and Restoration 50814.14 Summary 511Appendix A Determining Templates from Topological Invariants 513A.1 The Fundamental Problem 513A.2 From Template Matrices to Topological Invariants 515A.3 Identifying Templates from Invariants 523A.4 Constructing Generating Partitions 531A.5 Summary 539Appendix B Embeddings 541B.1 Diffeomorphisms 541B.2 Mappings of Data 543B.3 Tests for Embeddings 547B.4 Tests of Embedding Tests 549B.5 Geometric Tests for Embeddings 550B.6 Dynamical Tests for Embeddings 554B.7 Topological Test for Embeddings 555B.8 Postmortem on Embedding Tests 557B.9 Stationarity 562B.10 Beyond Embeddings 563B.11 Summary 563Appendix C Frequently Asked Questions 565C.1 Is Template Analysis Valid for Non-Hyperbolic Systems? 565C.2 Can Template Analysis Be Applied to Weakly Dissipative Systems? 566C.3 What About Higher-Dimensional Systems? 567References 569Index 581