Lecture

Diagonalizing Matrix A: VDV-1

In course

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Description

This lecture covers the process of diagonalizing a matrix A into VDV-1, where D is the diagonal matrix of eigenvalues and V is the matrix of eigenvectors. The instructor introduces the transformation x = V-tw and discusses the stability of the progressive Euler method. The lecture also includes the values of the unknowns when c = 5 and k = 6, along with the progressive and retrograde Euler diagrams to solve the system.

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Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_wmzh5dac

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

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