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note / modern mathematics

Session 07 — Brownian Motion and the Heat Equation

Brownian Motion and the Heat Equation

Central Question

Why does the probability distribution of random motion evolve according to a deterministic PDE?

Why This Matters

Diffusion translates random microscopic paths into deterministic macroscopic evolution, joining probability with familiar partial differential equations.

Random WalkBrownian MotionDiffusionHeat Equation.\text{Random Walk}\rightarrow\text{Brownian Motion}\rightarrow\text{Diffusion}\rightarrow\text{Heat Equation}.

Learning Prompt

I know random walks, basic Brownian motion and undergraduate PDEs. Derive how the discrete evolution equation for a symmetric random walk leads, under diffusive scaling, to the heat equation. Then explain why standard Brownian motion has generator 12Δ\tfrac12\Delta and how a different diffusion coefficient changes the normalization. Connect transition densities, the Gaussian heat kernel and expected values of initial data. Make me distinguish a random sample path from its deterministic density and from the solution operator acting on functions. Explain the forward and backward viewpoints carefully, and identify the assumptions behind the formulas.

Ideas

Examples

Questions

Connections

One Thing That Surprised Me

Further Rabbit Holes