The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics. The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics. The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics.

• 1. IntroductionPart 1: Fundamentals2. Symbolic Systems3. Geometric Constructions4. Spectrum of Dimensions for RecurrencesPart II: Zero-Dimensional Invariant Sets5. Uniformly Hyperbolic Repellers6. Non-Uniformly Hyperbolic Repellers7. The Spectrum for a Sticky Set8. Rhythmical DynamicsPart III: One-Dimensional Systems9. Markov Maps of the Interval10. Suspended FlowsPart IV: Measure Theoretical Results11. Invariant Measures12. Dimensional for Measures13. The Variational PrinciplePart V: Physical Interpretation and Applications14. Intuitive Explanation15. Hamiltonian Systems16. Chaos SynchronizationPart VI: Appendices17. Some Known Facts About Recurrences18. Birkhoff's Individual Theorem19. The SMB Theorem20. Amalgamation and FragmentationIndex

The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics. The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics. The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics.

• 1. IntroductionPart 1: Fundamentals2. Symbolic Systems3. Geometric Constructions4. Spectrum of Dimensions for RecurrencesPart II: Zero-Dimensional Invariant Sets5. Uniformly Hyperbolic Repellers6. Non-Uniformly Hyperbolic Repellers7. The Spectrum for a Sticky Set8. Rhythmical DynamicsPart III: One-Dimensional Systems9. Markov Maps of the Interval10. Suspended FlowsPart IV: Measure Theoretical Results11. Invariant Measures12. Dimensional for Measures13. The Variational PrinciplePart V: Physical Interpretation and Applications14. Intuitive Explanation15. Hamiltonian Systems16. Chaos SynchronizationPart VI: Appendices17. Some Known Facts About Recurrences18. Birkhoff's Individual Theorem19. The SMB Theorem20. Amalgamation and FragmentationIndex

The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics. The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics. The authors started to work on the subject in 1997 because of requirements in nonlinear dynamics to find out quantities that could measure different behavior in time in dynamical systems. They introduced and studied fractal dimensions for Poincare recurrences that appeared to be new, useful characteristics of complexity of dynamics.

• 1. IntroductionPart 1: Fundamentals2. Symbolic Systems3. Geometric Constructions4. Spectrum of Dimensions for RecurrencesPart II: Zero-Dimensional Invariant Sets5. Uniformly Hyperbolic Repellers6. Non-Uniformly Hyperbolic Repellers7. The Spectrum for a Sticky Set8. Rhythmical DynamicsPart III: One-Dimensional Systems9. Markov Maps of the Interval10. Suspended FlowsPart IV: Measure Theoretical Results11. Invariant Measures12. Dimensional for Measures13. The Variational PrinciplePart V: Physical Interpretation and Applications14. Intuitive Explanation15. Hamiltonian Systems16. Chaos SynchronizationPart VI: Appendices17. Some Known Facts About Recurrences18. Birkhoff's Individual Theorem19. The SMB Theorem20. Amalgamation and FragmentationIndex