Eigenvalues and eigenvectors
Eigenvalues and eigenvectors: Scalars and directions for which a linear transformation changes only vector scale without altering direction. They are central to decompositions, dynamics and PCA. Non-diagonalisable or complex matrices require extensions beyond elementary geometric intuition. This perspective connects the definition with practical behaviour in artificial intelligence systems.
In italiano: Autovalori e AutovettoriLegge I · Embedding, feature e spazi vettorialiThey are central to decompositions, dynamics and PCA. Non-diagonalisable or complex matrices require extensions beyond elementary geometric intuition.