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Exercise 9

Avg difficulty 2.5

If AA is a matrix and G=ATAG=A^TA its Gram matrix, remember that x⋅(Gx)=x⋅(ATAx)=(Ax)⋅(Ax)=∣Ax∣2.\xvec\cdot(G\xvec) = \xvec\cdot(A^TA\xvec) = (A\xvec)\cdot(A\xvec) = \len{A\xvec}^2.

  1. For a general matrix AA, explain why the eigenvalues of GG are nonnegative.

  2. Given a symmetric matrix AA having an eigenvalue λ\lambda, explain why λ2\lambda^2 is an eigenvalue of GG.

  3. If AA is symmetric, explain why the singular values of AA equal the absolute value of its eigenvalues: σj=∣λj∣\sigma_j = |\lambda_j|.

Austin, Understanding Linear Algebra, §7.4 Singular Value Decompositions, Exercise 9

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Adapted from Understanding Linear Algebra © 2023 David Austin. Licensed under CC BY 4.0. Source: Understanding Linear Algebra. Imported at revision 3e6dced.