What is spectral decomposition of a matrix?

Spectral decomposition expresses a matrix using its eigenvalues and eigenvectors.

For diagonalizable matrices, A can be decomposed as A = QΛQ⁻¹ where Q contains eigenvectors and Λ contains eigenvalues. This simplifies matrix powers and transformations.