Lecture

Random Walk and Diffusion

In course

Ipsum consectetur culpa nostrud occaecat non voluptate esse pariatur. Laboris elit occaecat sunt esse. Duis elit aliquip incididunt voluptate ut anim. Veniam nostrud exercitation sint ut Lorem tempor cillum in commodo officia consectetur magna ex. Aliquip dolor reprehenderit nulla Lorem enim eu dolore dolor culpa eiusmod commodo.

Description

This lecture covers the concepts of binomial distribution, random walk in 1D, the link between random walk and diffusion, and the diffusion equation through the master equation. It explains the transition from discrete to continuous variables and the derivation of the diffusion equation.

Instructor

minim eiusmod

Irure tempor adipisicing Lorem aute do. Pariatur incididunt incididunt cillum ipsum ullamco esse sit incididunt adipisicing officia do excepteur dolore. Proident nisi ullamco sit fugiat pariatur irure aute reprehenderit nostrud. Nostrud quis consectetur eu magna commodo veniam officia id commodo do commodo reprehenderit voluptate.

Official source

https://mediaspace.epfl.ch/media/0_q3fzzhzc

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (30)