Stability of vector differential delay equations [electronic resource] / Michael I. Gilʹ
Differential equations with delay naturally arise in various applications, such as control systems, viscoelasticity, mechanics, nuclear reactors, distributed networks, heat flows, neural networks, combustion, interaction of species, microbiology, learning models, epidemiology, physiology, and many o...
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Format: | Electronic eBook |
Language: | English |
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Basel : London :
Birkhäuser ; Springer [distributor],
2013.
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Series: | Frontiers in mathematics.
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Table of Contents:
- Preliminaries
- Some Results of the Matrix Theory
- General Linear Systems
- Time-invariant Linear Systems with Delay
- Properties of Characteristic Values
- Equations Close to Autonomous and Ordinary Differential Ones
- Periodic Systems
- Linear Equations with Oscillating Coefficients
- Linear Equations with Slowly Varying Coefficients
- Nonlinear Vector Equations
- Scalar Nonlinear Equations
- Forced Oscillations in Vector Semi-Linear Equations
- Steady States of Differential Delay Equations
- Multiplicative Representations of Solutions.
- Machine generated contents note: 1. Preliminaries
- 1.1. Banach and Hilbert spaces
- 1.2. Examples of normed spaces
- 1.3. Linear operators
- 1.4. Ordered spaces and Banach lattices
- 1.5. abstract Gronwall lemma
- 1.6. Integral inequalities
- 1.7. Generalized norms
- 1.8. Causal mappings
- 1.9. Compact operators in a Hilbert space
- 1.10. Regularized determinants
- 1.11. Perturbations of determinants
- 1.12. Matrix functions of bounded variations
- 1.13. Comments
- 2. Some Results of the Matrix Theory
- 2.1. Notations
- 2.2. Representations of matrix functions
- 2.3. Norm estimates for resolvents
- 2.4. Spectrum perturbations
- 2.5. Norm estimates for matrix functions
- 2.6. Absolute values of entries of matrix functions
- 2.7. Diagonalizable matrices
- 2.8. Matrix exponential
- 2.9. Matrices with non-negative off-diagonals
- 2.10. Comments
- 3. General Linear Systems
- 3.1. Description of the problem
- 3.2. Existence of solutions
- 3.3. Fundamental solutions
- 3.4. generalized Bohl-Perron principle
- 3.5. Lp-version of the Bohl-Perron principle
- 3.6. Equations with infinite delays
- 3.7. Proof of Theorem 3.6.1
- 3.8. Equations with continuous infinite delay
- 3.9. Comments
- 4. Time-invariant Linear Systems with Delay
- 4.1. Statement of the problem
- 4.2. Application of the Laplace transform
- 4.3. Norms of characteristic matrix functions
- 4.4. Norms of fundamental solutions of time-invariant systems
- 4.5. Systems with scalar delay-distributions
- 4.6. Scalar first-order autonomous equations
- 4.7. Systems with one distributed delay
- 4.8. Estimates via determinants
- 4.9. Stability of diagonally dominant systems
- 4.10. Comments
- 5. Properties of Characteristic Values
- 5.1. Sums of moduli of characteristic values
- 5.2. Identities for characteristic values
- 5.3. Multiplicative representations of characteristic functions
- 5.4. Perturbations of characteristic values
- 5.5. Perturbations of characteristic determinants
- 5.6. Approximations by polynomial pencils
- 5.7. Convex functions of characteristic values
- 5.8. Comments
- 6. Equations Close to Autonomous and Ordinary Differential Ones
- 6.1. Equations "close" to ordinary differential ones
- 6.2. Equations with small delays
- 6.3. Nonautomomous systems "close" to autonomous ones
- 6.4. Equations with constant coefficients and variable delays
- 6.5. Proof of Theorem 6.4.1
- 6.6. fundamental solution of equation (4.1)
- 6.7. Proof of Theorem 6.6.1
- 6.8. Comments
- 7. Periodic Systems
- 7.1. Preliminary results
- 7.2. main result
- 7.3. Norm estimates for block matrices
- 7.4. Equations with one distributed delay
- 7.5. Applications of regularized determinants
- 7.6. Comments
- 8. Linear Equations with Oscillating Coefficients
- 8.1. Vector equations with oscillating coefficients
- 8.2. Proof of Theorem 8.1.1
- 8.3. Scalar equations with several delays
- 8.4. Proof of Theorem 8.3.1
- 8.5. Comments
- 9. Linear Equations with Slowly Varying Coefficients
- 9.1. "freezing" method
- 9.2. Proof of Theorem 9.1.1
- 9.3. Perturbations of certain ordinary differential equations
- 9.4. Proof of Theorems 9.3.1
- 9.5. Comments
- 10. Nonlinear Vector Equations
- 10.1. Definitions and preliminaries
- 10.2. Stability of quasilinear equations
- 10.3. Absolute Lp-stability
- 10.4. Mappings defined on Ω (g) [∩] L2
- 10.5. Exponential stability
- 10.6. Nonlinear equations "close" to ordinary differential ones
- 10.7. Applications of the generalized norm
- 10.8. Systems with positive fundamental solutions
- 10.9. Nicholson-type system
- 10.10. Input-to-state stability of general systems
- 10.11. Input-to-state stability of systems with one delay in linear parts
- 10.12. Comments
- 11. Scalar Nonlinear Equations
- 11.1. Preliminary results
- 11.2. Absolute stability
- 11.3. Aizerman-Myshkis problem
- 11.4. Proofs of Lemmas 11.3.2 and 11.3.4
- 11.5. First-order nonlinear non-autonomous equations
- 11.6. Comparison of Green's functions to second-order equations
- 11.7. Comments
- 12. Forced Oscillations in Vector Semi-Linear Equations
- 12.1. Introduction and statement of the main result
- 12.2. Proof of Theorem 12.1.1
- 12.3. Applications of matrix functions
- 12.4. Comments
- 13. Steady States of Differential Delay Equations
- 13.1. Systems of semilinear equations
- 13.2. Essentially nonlinear systems
- 13.3. Nontrivial steady states
- 13.4. Positive steady states
- 13.5. Systems with differentiable entries
- 13.6. Comments
- 14. Multiplicative Representations of Solutions
- 14.1. Preliminary results
- 14.2. Volterra equations
- 14.3. Differential delay equations
- 14.4. Comments
- Appendix A General Form of Causal Operators
- Appendix B Infinite Block Matrices
- B.1. Definitions
- B.2. Properties of π-Volterra operators
- B.3. Resolvents of π-triangular operators
- B.4. Perturbations of block triangular matrices
- B.5. Block matrices close to triangular ones
- B.6. Diagonally dominant block matrices
- B.7. Examples.