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动力系统与线性代数(影印版)
暂无简介
购买:
作者:
Fritz Colonius,Wolfgang Kliemann
定价:
135.00元
出版时间:
2022-02-28
ISBN:
978-7-04-057021-2
物料号:
57021-00
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
重点项目:
暂无
版面字数:
500.000千字
开本:
特殊
全书页数:
暂无
装帧形式:
精装
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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