Table of contents


Preface

v
1

Introduction

1
1.1

   Laser with Modulated Losses

2
1.2

   Objectives of a New Analysis Procedure

10
1.3

   Preview of Results

11
1.4

   Organization of This Work

12
2

Discrete Dynamical Systems: Maps

17
2.1

   Introduction

17
2.2

   Logistic Map

19
2.3

   Bifurcation Diagrams

21
2.4

   Elementary Bifurcations in the Logistic Map

23
2.4.1
      Saddle-Node Bifurcation
23
2.4.2
      Period-Doubling Bifurcation
27
2.5

   Map Conjugacy

30
2.5.1
      Changes of Coordinates
30
2.5.2
      Invariants of Conjugacy
31
2.6

   Fully Developed Chaos in the Logistic Map

32
2.6.1
      Iterates of the Tent Map
33
2.6.2
      Lyapunov Exponents
35
2.6.3
      Sensitivity to Initial Conditions and Mixing
35
2.6.4
      Chaos and Density of (Unstable) Periodic Orbits
36
2.6.5
      Symbolic Coding of Trajectories: First Approach
38
2.7

   One-Dimensional Symbolic Dynamics

40
2.7.1
      Partitions
40
2.7.2
      Symbolic Dynamics of Expansive Maps
43
2.7.3
      Grammar of Chaos: First Approach
46
2.7.4
      Kneading Theory
49
2.7.5
      Bifurcation Diagram of the Logistic Map Revisited
53
2.8

   Shift Dynamical Systems, Markov Partitions, and Entropy

57
2.8.1
      Shifts of Finite Type and Topological Markov Chains
57
2.8.2
      Periodic Orbits and Topological Entropy of a Markov Chain
59
2.8.3
      Markov Partitions
61
2.8.4
      Approximation by Markov Chains
62
2.8.5
      Zeta Function
63
2.8.6
      Dealing with Grammars
64
2.9

   Fingerprints of Periodic Orbits and Orbit Forcing

67
2.9.1
      Permutation of Periodic Points as a Topological Invariant
67
2.9.2
      Topological Entropy of a Periodic Orbit
69
2.9.3
      Period-3 Implies Chaos and Sarkovskii's Theorem
71
2.9.4
      Period-3 Does Not Always Imply Chaos: Role of Phase-Space Topology
72
2.9.5
      Permutations and Orbit Forcing
72
2.10

   Two-Dimensional Dynamics: Smale's Horseshoe

74
2.10.1
      Horseshoe Map
74
2.10.2
      Symbolic Dynamics of the Invariant Set
75
2.10.3
      Dynamical Properties
78
2.10.4
      Variations on the Horseshoe Map: Baker Maps
79
2.11

   Hénon Map

82
2.11.1
      A Once-Folding Map
82
2.11.2
      Symbolic Dynamics of the Hénon Map
84
2.12

   Circle Maps

90
2.12.1
      A New Global Topology
90
2.12.2
      Frequency Locking and Arnol'd Tongues
91
2.12.3
      Chaotic Circle Maps and Annulus Maps
94
2.13

   Summary

95
3

Continuous Dynamical Systems: Flows

97
3.1

   Definition of Dynamical Systems

97
3.2

   Existence and Uniqueness Theorem

98
3.3

   Examples of Dynamical Systems

99
3.3.1
      Duffing Equation
99
3.3.2
      van der Pol Equation
100
3.3.3
      Lorenz Equations
102
3.3.4
      Rossler Equations
105
3.3.5
      Examples of Nondynamical Systems
106
3.3.6
      Additional Observations
109
3.4

   Change of Variables

112
3.4.1
      Diffeomorphisms
112
3.4.2
      Examples
112
3.4.3
      Structure Theory
114
3.5

   Fixed Points

116
3.5.1
      Dependence on Topology of Phase Space
116
3.5.2
      How to Find Fixed Points in Rn
117
3.5.3
      Bifurcations of Fixed Points
118
3.5.4
      Stability of Fixed Points
120
3.6

   Periodic Orbits

121
3.6.2
      Bifurcations of Fixed Points
122
3.6.3
      Stability of Fixed Points
123
3.7

   Flows near Nonsingular Points

124
3.8

   Volume Expansion and Contraction

125
3.9

   Stretching and Squeezing

126
3.10

   The Fundamental Idea

127
3.11

   Summary

128
4

Topological Invariants

131
4.1

   Stretching and Squeezing Mechanisms

132
4.2

   Linking Numbers

136
4.2.1
      Definitions
136
4.2.2
      Reidemeister Moves
138
4.2.3
      Braids
139
4.2.4
      Examples
142
4.2.5
      Linking Numbers for the Horseshoe
143
4.2.6
      Linking Numbers for the Lorenz Attractor
144
4.2.7
      Linking Numbers for the Period-Doubling Cascade
146
4.2.8
      Local Torsion
146
4.2.9
      Writhe and Twist
147
4.2.10
      Additional Properties
148
4.3

   Relative Rotation Rates

149
4.3.1
      Definition
150
4.3.2
      How to Compute Relative Rotation Rates
151
4.3.3
      Horseshoe Mechanism
155
4.3.4
      Additional Properties
159
4.4

   Relation between Linking Numbers and Relative Rotation Rates

159
4.5

   Additional Uses of Topological Invariants

160
4.5.1
      Bifurcation Organization
160
4.5.2
      Torus Orbits
161
4.5.3
      Additional Remarks
161
4.6

   Summary

164
5

Branched Manifolds

165
5.1

   Closed Loops

166
5.1.1
      Undergraduate Students
166
5.1.2
      Graduate Students
166
5.1.3
      The Ph.D. Candidate
166
5.1.4
      Important Observation
168
5.2

   What Has This Got to Do with Dynamical Systems?

169
5.3

   General Properties of Branched Manifolds

169
5.4

   Birman--Williams Theorem

171
5.4.1
      Birman--Williams Projection
171
5.4.2
      Statement of the Theorem
173
5.5

   Relaxation of Restrictions

175
5.5.1
      Strongly Contracting Restriction
175
5.5.2
      Hyperbolic Restriction
176
5.6

   Examples of Branched Manifolds

176
5.6.1
      Smale--Rossler System
177
5.6.2
      Lorenz System
179
5.6.3
      Duffing System
180
5.6.4
      van der Pol System
182
5.7

   Uniqueness and Nonuniqueness

186
5.7.1
      Local Moves
186
5.7.2
      Global Moves
187
5.8

   Standard Form

190
5.9

   Topological Invariants

193
5.9.1
      Kneading Theory
193
5.9.2
      Linking Numbers
197
5.9.3
      Relative Rotation Rates
198
5.10

   Additional Properties

199
5.10.1
      Period as Linking Number
199
5.10.2
      EBK--like Expression for Periods
199
5.10.3
      Poincaré Section
201
5.10.4
      Blow-Up of Branched Manifolds
201
5.10.5
      Branched-Manifold Singularities
203
5.10.6
      Constructing a Branched Manifold from a Map
203
5.10.7
      Topological Entropy
203
5.11

   Subtemplates

207
5.11.1
      Two Alternatives
207
5.11.2
      A Choice
210
5.11.3
      Topological Entropy
211
5.11.4
      Subtemplates of the Smale Horseshoe
212
5.11.5
      Subtemplates Involving Tongues
213
5.12

   Summary

215
6

Topological Analysis Program

217
6.1

   Brief Summary of the Topological Analysis Program

217
6.2

   Overview of the Topological Analysis Program

218
6.2.1
      Find Periodic Orbits
218
6.2.2
      Embed in R3
220
6.2.3
      Compute Topological Invariants
220
6.2.4
      Identify Template
221
6.2.5
      Verify Template
222
6.2.6
      Model Dynamics
223
6.2.7
      Validate Model
224
6.3

   Data

225
6.3.1
      Data Requirements
225
6.3.2
      Processing in the Time Domain
226
6.3.3
      Processing in the Frequency Domain
228
6.4

   Embeddings

233
6.4.1
      Embeddings for Periodically Driven Systems
234
6.4.2
      Differential Embeddings
235
6.4.3
      Differential--Integral Embeddings
237
6.4.4
      Embeddings with Symmetry
238
6.4.5
      Time--Delay Embeddings
239
6.4.6
      Coupled--Oscillator Embeddings
241
6.4.7
      SVD Projections
242
6.4.8
      SVD Embeddings
244
6.4.9
      Embedding Theorems
244
6.5

   Periodic Orbits

246
6.5.1
      Close Returns Plots for Flows
246
6.5.2
      Close Returns in Maps
249
6.5.3
      Metric Methods
250
6.6

   Computation of Topological Invariants

251
6.6.1
      Embed Orbits
251
6.6.2
      Linking Numbers and Relative Rotation Rates
252
6.6.3
      Label Orbits
252
6.7

   Identify Template

252
6.7.1
      Period-1 and Period-2 Orbits
252
6.7.2
      Missing Orbits
253
6.7.3
      More Complicated Branched Manifolds
253
6.8

   Validate Template

253
6.8.1
      Predict Additional Toplogical Invariants
254
6.8.2
      Compare
254
6.8.3
      Global Problem
254
6.9

   Model Dynamics

254
6.10

   Validate Model

257
6.10.1
      Qualitative Validation
257
6.10.2
      Quantitative Validation
258
6.11

   Summary

259
7

Folding Mechanisms: A2

261
7.1

   Belousov--Zhabotinskii Chemical Reaction

262
7.1.1
      Location of Periodic Orbits
262
7.1.2
      Embedding Attempts
266
7.1.3
      Topological Invariants
267
7.1.4
      Template
271
7.1.5
      Dynamical Properties
271
7.1.6
      Models
273
7.1.7
      Model Verification
273
7.2

   Laser with Saturable Absorber

275
7.2.1
      Experimental Setup
275
7.2.2
      Data
276
7.2.3
      Topological Analysis
276
7.2.4
      Useful Observation
278
7.2.5
      Important Conclusion
278
7.3

   Stringed Instrument

279
7.3.1
      Experimental Arrangement
279
7.3.2
      Flow Models
280
7.3.3
      Dynamical Tests
281
7.3.4
      Topological Analysis
282
7.4

   Lasers with Low-Intensity Signals

284
7.4.1
      SVD Embedding
286
7.4.2
      Template Identification
286
7.4.3
      Results of the Analysis
288
7.5

   The Lasers in Lille

288
7.5.1
      Class B Laser Model
289
7.5.2
      CO2 Laser with Modulated Losses
295
7.5.3
      Nd-Doped YAG Laser
300
7.5.4
      Nd-Doped Fiber Laser
303
7.5.5
      Synthesis of Results
308
7.6

   Neuron with Subthreshold Oscillations

315
7.7

   Summary

321
8

Tearing Mechanisms: A3

323
8.1

   Lorenz Equations

324
8.1.1
      Fixed Points
325
8.1.2
      Stability of Fixed Points
325
8.1.3
      Bifurcation Diagram
325
8.1.4
      Templates
326
8.1.5
      Shimizu--Morioka Equations
328
8.2

   Optically Pumped Molecular Laser

329
8.2.1
      Models
331
8.2.2
      Amplitudes
332
8.2.3
      Template
333
8.2.4
      Orbits
333
8.2.5
      Intensities
337
8.3

   Fluid Experiments

338
8.3.1
      Data
340
8.3.2
      Template
340
8.4

   Why A3?

341
8.5

   Summary

341
9

Unfoldings

343
9.1

   Catastrophe Theory as a Model

344
9.1.1
      Overview
344
9.1.2
      Example
344
9.1.3
      Reduction to a Germ
346
9.1.4
      Unfolding the Germ
348
9.1.5
      Summary of Concepts
348
9.2

   Unfolding of Branched Manifolds: Branched Manifolds as Germs

348
9.2.1
      Unfolding of Folds
349
9.2.2
      Unfolding of Tears
350
9.3

   Unfolding within Branched Manifolds: Unfolding of the Horseshoe

351
9.3.1
      Topology of Forcing: Maps
352
9.3.2
      Topology of Forcing: Flows
352
9.3.3
      Forcing Diagrams
355
9.3.4
      Basis Sets of Orbits
361
9.3.5
      Coexisting Basins
362
9.4

   Missing Orbits

362
9.5

   Routes to Chaos

363
9.6

   Summary

365
10

Symmetry

367
10.1

   Information Loss and Gain

368
10.1.1
      Information Loss
368
10.1.2
      Exchange of Symmetry
368
10.1.3
      Information Gain
368
10.1.4
      Symmetries of the Standard Systems
368
10.2

   Cover and Image Relations

369
10.2.1
      General Setup
369
10.3

   Rotation Symmetry 1: Images

370
10.3.1
      Image Equations and Flows
370
10.3.2
      Image of Branched Manifolds
373
10.3.3
      Image of Periodic Orbits
374
10.4

   Rotation Symmetry 2: Covers

376
10.4.1
      Topological Index
376
10.4.2
      Covers of Branched Manifolds
378
10.4.3
      Covers of Periodic Orbits
380
10.5

   Peeling: A New Global Bifurcation

380
10.5.1
      Orbit Perestroika
381
10.5.2
      Covering Equations
382
10.6

   Inversion Symmetry: Driven Oscillators

383
10.6.1
      Periodically Driven Nonlinear Oscillator
384
10.6.2
      Embedding in M3 subset of R4
384
10.6.3
      Symmetry Reduction
385
10.6.4
      Image Dynamics
385
10.7

   Duffing Oscillator

386
10.8

   van der Pol Oscillator

389
10.9

   Summary

395
11

Flows in Higher Dimensions

397
11.1

   Review of Classification Theory in R3

397
11.2

   General Setup

399
11.2.1
      Spectrum of Lyapunov Exponents
400
11.2.2
      Double Projection
400
11.3

   Flows in R4

402
11.3.1
      Cyclic Phase Spaces
402
11.3.2
      Floppiness and Rigidity
402
11.3.3
      Singularities in Return Maps
404
11.4

   Cusp Bifurcation Diagrams

406
11.4.1
      Cusp Return Maps
408
11.4.2
      Structure in the Control Plane
408
11.4.3
      Comparison with the Fold
409
11.5

   Nonlocal Singularities

411
11.5.1
      Multiple Cusps
411
11.5.2
      Cusps and Folds
413
11.6

   Global Boundary Conditions

414
11.6.1
      R1 and S1 in Three-Dimensional Flows
415
11.6.2
      Compact Connected Two-Dimensional Domains
415
11.6.3
      Singularities in These Domains
416
11.6.4
      Compact Connected Two-Dimensional Domains
416
11.7

   Summary

418
12

Program for Dynamical Systems Theory

421
12.1

   Reduction of Dimension

422
12.1.1
      Absorbing Manifold
424
12.1.2
      Inertial Manifold
424
12.1.3
      Branched Manifolds
424
12.2

   Equivalence

425
12.2.1
      Diffeomorphisms
425
12.3

   Structure Theory

426
12.3.1
      Reducibility of Dynamical Systems
426
12.4

   Germs

427
12.4.1
      Branched Manifolds
427
12.4.2
      Singular Return Maps
427
12.5

   Unfolding

428
12.6

   Paths

430
12.6.1
      Routes to Chaos
430
12.7

   Rank

431
12.7.1
      Stretching and Squeezing
431
12.8

   Complex Extensions

432
12.8.1
      Fixed-Point Distributions
432
12.8.2
      Singular Return Maps
432
12.9

   Coxeter--Dynkin Diagrams

433
12.9.1
      Fixed-Point Distributions
433
12.9.2
      Singular Return Maps
433
12.10

   Real Forms

434
12.10.1
      Stability of Fixed Points
434
12.10.2
      Singular Return Maps
435
12.11

   Local vs. Global Classification

436
12.11.1
      Nonlocal Folds
436
12.11.2
      Nonlocal Cusps
436
12.12

   Cover--Image Relations

437
12.13

   Symmetry Breaking and Restoration

437
12.13.1
      Entrainment and Synchronization
437
12.14

   Summary

439
A.1

   The Fundamental Problem

441
A.2

   From Template Matrices to Topological Invariants

443
A.2.1
      Classification of Periodic Orbits by Symbolic Names
443
A.2.2
      Algebraic Description of a Template
444
A.2.3
      Local Torsion
445
A.2.4
      Relative Rotation Rates: Examples
446
A.2.5
      Relative Rotation Rates: General Case
448
A.3

   Identifying Templates from Invariants

452
A.3.1
      Using an Independent Symbolic Coding
452
A.3.2
      Simultaneous Determination of Symbolic Names and Template
455
A.4

   Constructing Generating Partitions

459
A.4.1
      Symbolic Encoding as an Interpolation Process
459
A.4.2
      Generating partitions for Experimental Data
463
A.4.3
      Comparison with Methods Based on Homoclinic Tangencies
464
A.4.4
      Symbolic Dynamics on Three Symbols
466
A.5

   Summary

467
References 469
Topic Index 483