Eigenvalues: The Hidden Logic Behind Matrix Powers
Eigenvalues are more than abstract numbers—they are the intrinsic scaling factors that govern how matrices evolve when raised to a power. At their core, eigenvalues reveal how linear transformations stretch, compress, or rotate space, with each matrix transformation governed by its spectral signature. This foundational insight transforms seemingly intractable matrix exponentiation into a manageable process, unlocking computational efficiency and…