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动力系统与线性代数(影印版)


作者:
Fritz Colonius,Wolfgang Kliemann
定价:
135.00 元
版面字数:
500千字
开本:
特殊
装帧形式:
精装
版次:
1
最新版次
印刷时间:
2022年
ISBN:
978-7-04-057021-2
物料号:
57021-00
出版时间:
2022-02-28
读者对象:
学术著作
一级分类:
自然科学
二级分类:
数学与统计
三级分类:
代数学

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  • 目录
    • 前辅文
      • Part 1. Matrices and Linear Dynamical Systems
        • Chapter 1. Autonomous Linear Differential and Difference Equations
          • 1.1. Existence of Solutions
            • 1.2. The Real Jordan Form
              • 1.3. Solution Formulas
                • 1.4. Lyapunov Exponents
                  • 1.5. The Discrete-Time Case: Linear Difference Equations
                    • 1.6. Exercises
                      • 1.7. Orientation, Notes and References
                      • Chapter 2. Linear Dynamical Systems in Rd
                        • 2.1. Continuous-Time Dynamical Systems or Flows
                          • 2.2. Conjugacy of Linear Flows
                            • 2.3. Linear Dynamical Systems in Discrete Time
                              • 2.4. Exercises
                                • 2.5. Orientation, Notes and References
                                • Chapter 3. Chain Transitivity for Dynamical Systems
                                  • 3.1. Limit Sets and Chain Transitivity
                                    • 3.2. The Chain Recurrent Set
                                      • 3.3. The Discrete-Time Case
                                        • 3.4. Exercises
                                          • 3.5. Orientation, Notes and References
                                          • Chapter 4. Linear Systems in Projective Space
                                            • 4.1. Linear Flows Induced in Projective Space
                                              • 4.2. Linear Difference Equations in Projective Space
                                                • 4.3. Exercises
                                                  • 4.4. Orientation, Notes and References
                                                  • Chapter 5. Linear Systems on Grassmannians
                                                    • 5.1. Some Notions and Results from Multilinear Algebra
                                                      • 5.2. Linear Systems on Grassmannians and Volume Growth
                                                        • 5.3. Exercises
                                                          • 5.4. Orientation, Notes and References
                                                        • Part 2. Time-Varying Matrices and Linear Skew Product Systems
                                                          • Chapter 6. Lyapunov Exponents and Linear Skew Product Systems
                                                            • 6.1. Existence of Solutions and Continuous Dependence
                                                              • 6.2. Lyapunov Exponents
                                                                • 6.3. Linear Skew Product Flows
                                                                  • 6.4. The Discrete-Time Case
                                                                    • 6.5. Exercises
                                                                      • 6.6. Orientation, Notes and References
                                                                      • Chapter 7. Periodic Linear Differential and Difference Equations
                                                                        • 7.1. Floquet Theory for Linear Difference Equations
                                                                          • 7.2. Floquet Theory for Linear Differential Equations
                                                                            • 7.3. The Mathieu Equation
                                                                              • 7.4. Exercises
                                                                                • 7.5. Orientation, Notes and References
                                                                                • Chapter 8. Morse Decompositions of Dynamical Systems
                                                                                  • 8.1. Morse Decompositions
                                                                                    • 8.2. Attractors
                                                                                      • 8.3. Morse Decompositions, Attractors, and Chain Transitivity
                                                                                        • 8.4. Exercises
                                                                                          • 8.5. Orientation, Notes and References
                                                                                          • Chapter 9. Topological Linear Flows
                                                                                            • 9.1. The Spectral Decomposition Theorem
                                                                                              • 9.2. Selgrade’s Theorem
                                                                                                • 9.3. The Morse Spectrum
                                                                                                  • 9.4. Lyapunov Exponents and the Morse Spectrum
                                                                                                    • 9.5. Application to Robust Linear Systems and Bilinear Control Systems
                                                                                                      • 9.6. Exercises
                                                                                                        • 9.7. Orientation, Notes and References
                                                                                                        • Chapter 10. Tools from Ergodic Theory
                                                                                                          • 10.1. Invariant Measures
                                                                                                            • 10.2. Birkhoff’s Ergodic Theorem
                                                                                                              • 10.3. Kingman’s Subadditive Ergodic Theorem
                                                                                                                • 10.4. Exercises
                                                                                                                  • 10.5. Orientation, Notes and References
                                                                                                                  • Chapter 11. Random Linear Dynamical Systems
                                                                                                                    • 11.1. The Multiplicative Ergodic Theorem (MET)
                                                                                                                      • 11.2. Some Background on Projections
                                                                                                                        • 11.3. Singular Values, Exterior Powers, and the Goldsheid-Margulis Metric
                                                                                                                          • 11.4. The Deterministic Multiplicative Ergodic Theorem
                                                                                                                            • 11.5. The Furstenberg-Kesten Theorem and Proof of the MET in Discrete Time
                                                                                                                              • 11.6. The Random Linear Oscillator
                                                                                                                                • 11.7. Exercises
                                                                                                                                  • 11.8. Orientation, Notes and References
                                                                                                                                • Bibliography
                                                                                                                                  • Index

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