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1
A tale of two "A" matrices
2
When it's possible to diagonalize a matrix with eigenvectors
3
Computing eigenvectors and generalized eigenvectors
4
Case of complex conjugate eigenvalues
5
Case of repeated eigenvalues
6
3x3 degenerate matrix
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Jordan canonical form for general matrix
Description:
Explore the concept of diagonalization and Jordan Canonical Form in systems of differential equations through this comprehensive video lecture. Learn when it's possible to perfectly diagonalize certain systems of linear differential equations and how to "block-diagonalize" more general cases. Dive into the computation of eigenvectors and generalized eigenvectors, and examine specific scenarios such as complex conjugate eigenvalues and repeated eigenvalues. Investigate a 3x3 degenerate matrix example and discover the fully general Jordan form for matrices. Gain valuable insights into advanced linear algebra concepts and their applications in differential equations.

Systems of Differential Equations - Diagonalization and Jordan Canonical Form

Steve Brunton
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