Lecture

Statistical Thermodynamics: Phase Space and Probability Distributions

Description

This lecture covers the representation of position and momentum in phase space, ensembles of particles, maximum total energy, harmonic and anharmonic potentials, joint probabilities, marginal probabilities, continuous distributions, probability density functions, normalization, multidimensional probability densities, and fulfilling certain conditions in functions.

Official source

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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In course

DEMO: aliqua cillum cillum

Adipisicing sint velit velit consectetur. Ut duis ex do laborum proident in. Adipisicing cillum enim amet culpa exercitation. Tempor aliquip in deserunt officia ut irure amet adipisicing labore deserunt non non qui minim. Et reprehenderit mollit proident nostrud aliquip elit ipsum aute. Et amet est eu elit proident aliquip adipisicing amet aliquip et enim est qui minim. Eu incididunt elit aute anim quis dolor laborum do elit eiusmod enim fugiat minim irure.

Description

Instructors (2)

proident magna

Sit sint laboris quis et et excepteur veniam tempor. Adipisicing enim velit ut qui deserunt sunt laboris esse aliqua quis adipisicing esse officia veniam. Laboris anim pariatur id qui elit sunt enim aute est culpa reprehenderit. Non non ex commodo amet veniam pariatur exercitation proident dolore irure. In elit culpa incididunt laboris nostrud ut quis velit dolore quis. Pariatur mollit enim voluptate esse aliquip dolore duis deserunt est nisi sunt laborum qui. Irure culpa in culpa adipisicing minim.

ex anim ullamco elit

Amet veniam excepteur est adipisicing. Deserunt qui mollit duis deserunt reprehenderit voluptate ad aliqua deserunt ullamco ex. Elit sint ea nulla sit aliquip qui aute. Laborum irure culpa esse qui quis.

Official source

About this result

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Cross-validation

Mathematics

Probability theory: Topics in probability theory

Related lectures (33)