Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
eigenbasis, there doesn’t seem to be any correlation (covariance) between the x1 and x2 in the eigenbasis space- it seems roughly like gaussian noise. All we get for sure is our variances (now the variances along our new axes, the eigenvectors) which are now equal to our eigenvalues. But here’s the