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Dynamics & Chaos

Dynamical systems, chaos theory, fractals, ergodic theory

Subfields

Concepts

Dynamical Systems

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A dynamical system mathematically models how states evolve over time. It's expressed through differential or difference equations.

🌀Dynamics & Chaos

Chaos Theory

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Chaos is unpredictable behavior in deterministic systems. It shows extreme sensitivity to initial conditions (butterfly effect), making long-term prediction impossible.

🌀Dynamics & Chaos

Fractals

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Fractals are geometric shapes where parts resemble the whole (self-similarity). They can have non-integer dimensions.

🌀Dynamics & Chaos

Fixed Points and Stability

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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.

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Bifurcation

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Bifurcation is when qualitative behavior of a dynamical system suddenly changes as a parameter varies. New fixed points may appear or stability may change.

🌀Dynamics & Chaos

Ordinary Differential Equations

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An ordinary differential equation (ODE) relates an unknown function of one variable to its derivatives. It's the fundamental language of physics and engineering.

🌀Dynamics & Chaos

Partial Differential Equations

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A partial differential equation (PDE) involves partial derivatives of an unknown function with respect to multiple independent variables. Describes waves, heat transfer, quantum mechanics.

🌀Dynamics & Chaos

Phase Space

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Phase space represents all possible states of a dynamical system as coordinates. System evolution can be visualized as trajectories.

🌀Dynamics & Chaos

Attractors

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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.

🌀Dynamics & Chaos