YoVDO

Invariant Subspaces, Eigenvalues, and Eigenvectors

Offered By: NPTEL-NOC IITM via YouTube

Tags

Linear Algebra Courses Vector Spaces Courses Eigenvalues Courses Eigenvectors Courses Matrix Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the fundamental concepts of linear algebra in this 34-minute lecture focusing on invariant subspaces, eigenvalues, and eigenvectors. Delve into the properties and applications of these essential mathematical constructs, gaining a deeper understanding of their role in linear transformations and matrix theory. Learn how to identify and analyze invariant subspaces, calculate eigenvalues, and determine corresponding eigenvectors, equipping yourself with valuable tools for solving complex problems in various fields of mathematics and science.

Syllabus

Invariant subspaces, Eigenvalues, Eigenvectors


Taught by

NPTEL-NOC IITM

Related Courses

Coding the Matrix: Linear Algebra through Computer Science Applications
Brown University via Coursera
Mathematical Methods for Quantitative Finance
University of Washington via Coursera
Introduction à la théorie de Galois
École normale supérieure via Coursera
Linear Algebra - Foundations to Frontiers
The University of Texas at Austin via edX
Massively Multivariable Open Online Calculus Course
Ohio State University via Coursera