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Chaos and nonlinear dynamics: Phys-371/430

In addition to an introduction to chaotic dynamics in both conservative and dissipative systems, the course covers several aspects of nonlinear oscillations, fractal geometry, dynamics of complex systems, and applications. In addition to chaotic dynamics, the course also covers the following topics:

Disorder effects: Sinai walk, Renormalization Group treatment

Anomalous diffusion – various mechanisms

Nonlinear time series analysis

Schramm-Loewner Evolution, CFT

Quantum Chaos

Application: Network Evolution

Application: Nonlinear Dynamics of Networks

Application: Brain dynamics

Main references:

  1. E. Ott, Chaos in Dynamical Systems (Cambridge Univ. Press, Cambridge, 2002).
  2. Strogatz, Steven H. Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering. Westview Press, 2014. ISBN: 9780813349107.
  3. chaosbook.org  – free resource, with many additional topics, illustrations as well as lecture videos
  4. Smith, Chaos – A very short introduction (Oxford, 2007)
  5. Gleick, Chaos – making a new science (Penguin, 1995)

Example student projects from previous classes:

The use of dynamical systems theory in developing environmental policy
Epidemiological Models (Spread of Disease)
Chaos theory for cryptography
Biological Morphogenesis
Social balance in coarse-grained networks
Ferromagnetic phase transition
Chaos in human physiology (cardiac arrhythmia)
Probability density: Time evolution of densities for 1D and 2D maps
Chaos in Network Evolution
Chaos in Cellular Automata
Simulation of a self organizing system – population dynamics
Modeling COVID-19 Spread
Predicting the double pendulum
Control of nonlinear systems
Weather and Climate Predictability
Network evolution in ecosystem
Numerical Simulations of Complex Ginzburg Landau equation
Nonlinear time series analysis of electrochemical systems
Conway’s Game of Life
Chaos/Nonlinear Dynamics in the Stock Market
collective human conflict/arms races
BZ reaction (Nonlinear chemical oscillators)
Link removal strategies for dismantling complex networks
Nonlinear Dynamics in the Brain