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means, w is the eigenvector of the covariance matrix and alpha is the corresponding eigenvalue. Using this result, var(z) is the eigenvalue If var(z) is to be maximized, then alpha has to be the largest of all eigenvalues. And the corresponding eigenvector is the principal component This gives us