LA + SGT

description…

Spectral decomposition

A matrix $A$ has a spectral decomposition (eigendecomposition) if it can be written as:

$$A = P \Lambda P^{-1},$$

where

• $P$ is the matrix of eigenvectors
• $\Lambda$ the diagonal matrix of eigenvalues