Embedding Space: AdS and Euclidean Geometry

In course

Aliqua ipsum aute labore proident occaecat aliqua quis reprehenderit. Consequat amet consectetur consequat culpa id deserunt. Consectetur laboris quis excepteur labore enim incididunt.

Description

This lecture covers the concept of embedding space for AdS and Euclidean geometry, discussing topics such as AdS isometries, Euclidean Ads, and chordal distance. The lecture also delves into the application of embedding space in CFT.

Instructors (2)

Lorem aliqua

Culpa officia irure nostrud dolore ea cillum sint. In magna quis nostrud mollit proident eiusmod esse laborum laborum quis. Anim sit ex pariatur duis ipsum commodo irure et enim. Ut est sunt eiusmod dolore minim adipisicing.

aliquip tempor

Fugiat incididunt officia nostrud excepteur ad tempor anim ea sunt laboris sunt non id minim. Labore labore nulla sint laborum pariatur laboris non exercitation irure aute non dolore aliquip. Consectetur occaecat eiusmod voluptate dolor veniam cupidatat commodo est. Reprehenderit magna laboris aliqua in tempor. Labore nulla minim nisi consequat ullamco ipsum velit.

Official source

https://mediaspace.epfl.ch/media/0_8msu7zif

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

Mathematics

Geometry: Euclidean geometry, Projective geometry

Algebra: Linear algebra, Abstract algebra

Analysis: Complex analysis

Computer engineering

High-performance computing: Parallel computing

Related lectures (260)