Let K be a covariance matrix (it is positive semidefinite, it's diagonal elements are all 1, and it's off-diagonals are between -1 and 1). Let K.^2 be its element-wise power (Hadamard power). Can we show that maximum eigenvalue of K>= maximum eigenvalue of K.^2? K can have both positive and negative elements.