Kinetic Theory: Distribution Function Evolution

In course

Et aliqua in laborum nostrud ullamco. Non dolore adipisicing qui qui voluptate amet anim fugiat ea irure aliqua esse. Commodo eu veniam in nostrud nisi commodo occaecat nulla esse officia dolore ea laborum. Id anim duis sint mollit dolor nisi eu est irure aliquip. Velit cillum pariatur aliquip nisi magna ipsum esse ad qui mollit amet dolore nulla nisi.

Description

This lecture delves into the kinetic theory, focusing on the evolution of the distribution function f(x, v, t) describing the number of particles in phase space. It covers topics such as macroscopic and microscopic scales, continuum descriptions, statistical techniques, and examples like the Maxwell-Boltzmann distribution and monoenergetic beams.

Instructor

Cupidatat ad nulla mollit amet ea veniam minim magna deserunt. Enim laboris pariatur ad velit magna veniam consequat. Nisi nisi duis eu qui. Dolor proident elit in magna commodo occaecat cupidatat aliquip nulla eiusmod veniam enim voluptate. Consectetur amet incididunt quis proident cupidatat. Qui id aute incididunt qui elit Lorem magna nostrud et in labore esse elit. Nostrud culpa tempor laboris ea.

Official source

https://mediaspace.epfl.ch/media/0_30j0kcbq

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

Mechanics: Classical mechanics

Quantum mechanics: Topics in quantum mechanics

Statistics

Statistical inference: Mathematical statistics

Computer engineering

Hardware engineering: Microprocessors

Computer architecture: Operating systems

Related lectures (203)