This talk is about the spiked eigenvalues and linear spectral statistics for sample covaraince matrices. We first present a CLT for the spiked eigenvalues for a very general sample covariance matrices
Then relationship between the spiked eigenvalues and linear spectral statistics is then investigated. An application in high dimensional covariance matrices test is explored.