Lecture

Spectral Decomposition

In course

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Description

This lecture covers the spectral decomposition of symmetric matrices, discussing conditions for diagonalizability, orthonormal bases, and eigenvalues. It also explores the singular value decomposition, orthogonal matrices, and roots of matrices.

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Official source

https://mediaspace.epfl.ch/media/0_89w7w492

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Analysis: Functional analysis

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