Partial differential equations

Level AdvancedDifficulty ★★★★★Concept⌖ Open in the map

What is it?

Equations for fields that depend on space and time, involving partial derivatives: heat diffusion, waves, fluid flow, electromagnetism, quantum mechanics. Solved numerically by discretizing space (finite differences, finite volumes, finite elements, spectral methods).

Formulas

ut=α Δu,utt=c2Δu,Δu=0u_t = \alpha\,\Delta u, \qquad u_{tt} = c^2\Delta u, \qquad \Delta u = 0
heat, wave, Laplace: parabolic, hyperbolic, elliptic

Where it shows up in computing

  • Heat equation and diffusion★★★★★fundamentalPhysics and simulation

    The prototype parabolic PDE.

  • Wave equation★★★★★fundamentalPhysics and simulation

    The prototype hyperbolic PDE.

  • Fluid dynamics and CFD★★★★★fundamentalPhysics and simulation

    The Navier–Stokes equations are a nonlinear system of PDEs.

  • Finite element method★★★★★fundamentalPhysics and simulation

    FEM is the dominant method to solve PDEs on complex geometries in engineering.

  • Image processing and computer vision★★★★★advancedSignals, media and vision

    Anisotropic (Perona–Malik) diffusion denoises images while preserving edges by solving a nonlinear heat equation.

Where it shows up in AI

  • Generative models★★★★★advancedAI and machine learning

    Diffusion models are tied to the Fokker–Planck PDE of a noising process, reversed by learning the score ∇log⁡p\nabla\log p.

Where is it used?

Computing topics reachable from here, through the chain of ideas that leads to them:

This page has the essentials. A fuller treatment (intuition, formal definition, worked example) is on the way.

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