Lecture

Linear Algebra: Matrices and Vector Spaces

Description

This lecture covers the concepts of matrix kernels, matrix images, linear applications, linear independence, and bases in vector spaces. It explains how to determine the kernel and image of a matrix, the linear independence of vectors, and the construction of bases. The lecture also delves into the properties of linear applications and their relationship with vector spaces.

Official source

https://mediaspace.epfl.ch/media/0_442h2qek

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Analysis: Functional analysis

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