Dynamics & Chaos
Dynamical systems, chaos theory, fractals, ergodic theory
Subfields
Concepts
Dynamical Systems
★★★★☆A dynamical system mathematically models how states evolve over time. It's expressed through differential or difference equations.
Chaos Theory
★★★★☆Chaos is unpredictable behavior in deterministic systems. It shows extreme sensitivity to initial conditions (butterfly effect), making long-term prediction impossible.
Fractals
★★★☆☆Fractals are geometric shapes where parts resemble the whole (self-similarity). They can have non-integer dimensions.
Fixed Points and Stability
★★★★☆A fixed point is a state that doesn't change over time in a dynamical system. Fixed points can be stable (attractors), unstable, or saddle points.
Bifurcation
★★★★☆Bifurcation is when qualitative behavior of a dynamical system suddenly changes as a parameter varies. New fixed points may appear or stability may change.
Ordinary Differential Equations
★★★☆☆An ordinary differential equation (ODE) relates an unknown function of one variable to its derivatives. It's the fundamental language of physics and engineering.
Partial Differential Equations
★★★★☆A partial differential equation (PDE) involves partial derivatives of an unknown function with respect to multiple independent variables. Describes waves, heat transfer, quantum mechanics.
Phase Space
★★★★☆Phase space represents all possible states of a dynamical system as coordinates. System evolution can be visualized as trajectories.
Attractors
★★★★☆An attractor is a state or set of states that trajectories converge to over time in a dynamical system. Types include point, periodic orbit, and strange attractors.