If \( \lambda_1, \lambda_2 \) and \( \lambda_3 \) are the eigen values of a square matrix \( A \), then the eigen values of \( A^{-1} + 2I + A \) are
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If \( \lambda \) is an eigenvalue of a matrix \( A \), then any matrix polynomial or functional expression \( f(A) \) will have corresponding eigenvalues given directly by substituting \( \lambda \) into the function, resulting in \( f(\lambda) \).