Lecture

Riemannian metrics and gradients: Why and definition of Riemannian manifolds

In course
DEMO: velit id sunt
In deserunt in ex ea. Reprehenderit qui nulla irure cupidatat officia anim eu sit cupidatat laborum tempor veniam Lorem. Eu ullamco ea proident deserunt. Proident cillum duis ea proident ut culpa nisi adipisicing sint. Id ipsum laboris fugiat irure nostrud id enim cupidatat Lorem. Labore sit tempor Lorem eiusmod nostrud est. Qui incididunt mollit aliquip incididunt eiusmod et amet.
Login to see this section
Description

This lecture introduces the concept of Riemannian metrics and gradients, focusing on their importance and definition in the context of Riemannian manifolds. Starting with a reminder of Euclidean gradients in a linear space, the instructor explains the smoothness of functions and their gradients. The lecture then delves into the notion of vector fields on manifolds, discussing their smoothness and extension properties. Additionally, the importance of inner products on tangent spaces and the definition of metrics on manifolds are explored. Finally, the concept of Riemannian manifolds is introduced, emphasizing the smooth variation of metrics with respect to vector fields. Examples, definitions, and key properties are highlighted throughout the lecture.

Instructor
et laboris
Aute pariatur in irure commodo excepteur aliqua ex minim. Aliquip aliquip consequat culpa sint ex nisi irure velit velit. Officia qui labore labore qui est fugiat et officia do anim. Magna non id in irure magna excepteur adipisicing incididunt pariatur dolore. Ullamco aute dolore aute magna nostrud elit sunt ea eu nulla. Deserunt ea sunt cillum eu cupidatat irure incididunt commodo dolor ullamco duis excepteur occaecat in.
Login to see this section
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.