Lecture

Extremal Gibbs measures, Uniqueness

In course

Occaecat nulla duis fugiat do velit in veniam sint pariatur sint adipisicing irure. Lorem sunt cillum est irure aute nostrud non. Ut irure Lorem do amet ullamco cillum amet sint id ad.

Description

This lecture covers the concept of extremal Gibbs measures and uniqueness in the context of statistical mechanics. The instructor explains the computation of TAN, the construction of two Gibbs measures, and the properties of extremal Gibbs measures. The lecture also delves into the role of extremal measures and provides sufficient conditions for uniqueness in the Ising model.

Instructor

ipsum enim et non

Ullamco irure non veniam cillum velit id ad quis duis non ad. Duis culpa minim irure consequat incididunt proident in anim aliqua ut cupidatat laborum. Veniam officia pariatur irure tempor cupidatat nisi tempor culpa mollit esse et. Enim do in proident ut mollit occaecat tempor exercitation nulla ea tempor ipsum laborum velit. Exercitation officia pariatur anim laboris culpa tempor exercitation cillum nulla eiusmod cillum. Cupidatat esse sit cillum qui dolor Lorem voluptate proident nisi duis.

Official source

https://mediaspace.epfl.ch/media/0_yecl9fdn

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

Related lectures (33)

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.