Statistical Definition of Entropy: Microstates and Macrostates

In course

Id quis laborum sint culpa. Occaecat nisi minim nulla amet tempor sit cillum elit eiusmod exercitation aliqua. Laboris minim cupidatat mollit quis Lorem excepteur commodo esse occaecat elit. Incididunt ullamco dolore aute do voluptate quis elit exercitation qui excepteur elit dolor ex. Labore pariatur esse occaecat et labore proident pariatur minim fugiat duis. Qui eiusmod aute laborum eiusmod incididunt. Adipisicing consequat voluptate ipsum officia Lorem do eu dolor irure dolore.

Description

This lecture introduces the concepts of microstates and macrostates, focusing on the statistical definition of entropy. It covers the ergodic hypothesis, observables as averages, ensemble averages, and the equiprobability axiom. The density of states and its relation to the dimensionality of systems are also discussed, using examples like the (3D) Particle in a Box.

Instructor

aute sit sunt quis

Tempor occaecat consequat proident incididunt fugiat nostrud eu nostrud ut esse ex eu est. Esse dolore ut exercitation laboris anim tempor fugiat. Deserunt eu et sit cupidatat incididunt sint nostrud nulla esse laborum. Duis aliquip fugiat mollit est elit labore labore esse nostrud labore qui cillum.

Official source

https://mediaspace.epfl.ch/media/0_x6k5iba2

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.

Ontological neighbourhood

Physics

Thermodynamics: Statistical mechanics

Atomic physics: Topics in atomic physics

Related lectures (53)