Chaos, Networks, Space and Time
By David D. Nolte
Part I Geometric Mechanics
Chapter 1. Physics and Geometry
1.1 State space and dynamical flows
1.2 Coordinate representation of dynamical systems
1.3 Coordinate transformation
1.4 Uniformly rotating frames
1.5 Rigid-body motion
1.6 Summary
1.7 Bibliography
1.8 Homework problems
Chapter 2. Lagrangian Mechanics
2.1 Calculus of variations
2.2 Lagrangian applications
2.3 Dissipation in Lagrangian systems
2.4 Lagrange undetermined multipliers
2.5 Examples of Lagrangian applications with constraints
2.6 Conservation laws
2.7 Central force motion
2.8 Virial theorem
2.9 Summary
2.10 Bibliography
2.11 Homework problems
Chapter 3. Hamiltonian Dynamics and Phase Space
3.1 The Hamiltonian function
3.2 Phase space
3.3 Integrable systems and action-angle variables
3.4 Adiabatic invariants 1
3.5 Summary
3.6 Bibliography
3.7 Homework problems
Part II Nonlinear Dynamics
Chapter 4. Nonlinear Dynamics and Chaos
4.1 One-variable dynamical systems
4.2 Two-variable dynamical systems
4.3 Limit cycles
4.4 Discrete iterative maps
4.5 Three-dimensional state space and chaos
4.6 Non-autonomous (driven) flows
4.7 Summary and glossary
4.8 Bibliography
4.9 Homework problems
Chapter 5. Hamiltonian Chaos
5.1 Perturbed Hamiltonian systems and separatrix chaos
5.2 Nonintegrable Hamiltonian systems
5.3 The Chirikov Standard Map
5.4 KAM theory
5.5 Degeneracy and the web map
5.6 Quantum chaos [optional]
5.7 Summary
5.8 Bibliography
5.9 Homework problems
Chapter 6. Coupled Oscillators and Synchronization
6.1 Coupled linear oscillators
6.2 Simple models of synchronization
6.3 Rational resonances
6.4 External synchronization
6.5 Synchronization of chaos
6.6 Summary
6.7 Bibliography
6.8 Homework problems
Part III Complex Systems
Chapter 7. Network Dynamics
7.1 Network structures
7.2 Random network topologies
7.3 Synchronization on networks
7.4 Diffusion on networks
7.5 Epidemics on networks
7.6 Summary
7.7 Bibliography
7.8 Homework problems
Chapter 8. Evolutionary Dynamics
8.1 Population dynamics
8.2 Viral infection and acquired resistance
8.3 Replicator dynamics
8.4 Quasispecies
8.5 Game theory and evolutionary stable solutions
8.6 Summary
8.7 Bibliography
8.8 Homework problems
Chapter 9. Neurodynamics and Neural Networks
9.1 Neuron structure and function
9.2 Neuron dynamics
9.3 Network nodes: artificial neurons
9.4 Neural network architectures
9.5 Hopfield neural network
9.6 Content-addressable (associative) memory
9.7 Summary
9.8 Bibliography
9.9 Homework problems
Chapter 10. Economic Dynamics
10.1 Microeconomics and equilibrium
10.2 Macroeconomics
10.3 Business cycles
10.4 Random walks and stock prices [optional]
10.5 Summary
10.6 Bibliography
10.7 Homework problems
Part IV Relativity and Space-Time
Chapter 11. Metric Spaces and Geodesic Motion
11.1 Manifolds
11.2 Derivative of a tensor
11.3 Geodesic curves in configuration space
11.4 Geodesic motion
11.5 Summary
11.6 Bibliography
11.7 Homework problems
Chapter 12. Relativistic Dynamics
12.1 The special theory
12.2 Lorentz transformations
12.3 Metric structure of Minkowski space
12.4 Relativistic trajectories
12.5 Relativistic dynamics
12.6 Linearly accelerating frames (relativistic)
12.7 Summary
12.8 Bibliography
12.9 Homework problems
Chapter 13. The General Theory of Relativity and Gravitation
13.1 The Newtonian correspondence
13.2 Riemann curvature tensor
13.3 Einstein’s field equations
13.4 Schwarzschild space-time
13.5 Kinematic consequences of gravity
13.6 The deflection of light by gravity
13.7 Planetary orbits
13.8 Black holes
13.9 Gravitational waves
13.10 Summary
13.11 Bibliography
13.12 Homework problems
Appendix
A.1 Index notation: rows, columns, and matrices
A.2 The complex plane
A.3 Solution of linear and linearized ODEs
A.4 Runge–Kutta numerical solvers for ODEs
A.5 Tangents and normals to a curve in the plane
A.6 Elliptic integrals
A.7 MATLAB and Python programs for numerical homework

