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My question may be a bit lousy. Suppose we have a set of statistical variables X1, X2, .. Xn, and we have N independent samples. We can compute the covariance matrix of {X}. My question is: Is there a reliable way to evaluate the fluctuation in the eigenvalues of the covariance matrix? What is minimum number of N needed for the size of the matrix nxn?

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