Lecture

Linear Applications in 3D: Rank Theorem

Description

This lecture covers the Rank Theorem for linear applications in 3D space. It explains how the rank of a linear application plus the dimension of its kernel equals the dimension of the space. Through examples, it shows cases where the rank is 0 or 1, leading to specific properties of the associated matrices.

Official source

https://mediaspace.epfl.ch/media/0_q9jgpm3z

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Ontological neighbourhood

Computer engineering

Computer architecture: Topics in computer architecture

Mathematics

Algebra: Linear algebra

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