Lecture

Brownian Motion: Theory and Applications

Description

This lecture covers the theory of Brownian motion, diffusion, and random walks, with a focus on Einstein's theory for one-dimensional motion. It discusses the discrete time consideration, random variables, and density functions. The lecture also explores the movement of large particles and the concept of infinite variance. Various questions related to the displacement of particles are addressed, along with the use of random variables in physical models.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_wp5ctzxs

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Analysis: Distribution theory

Physics

Relativity: General relativity

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