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Exercise 7

Avg difficulty 2.5

Suppose that AA is a square m×mm\times m matrix with singular value decomposition A=UΣVTA=U\Sigma V^T.

  1. If AA is invertible, find a singular value decomposition of A−1A^{-1}.

  2. What condition on the singular values must hold for AA to be invertible?

  3. How are the singular values of AA and the singular values of A−1A^{-1} related to one another?

  4. How are the right and left singular vectors of AA related to the right and left singular vectors of A−1A^{-1}?

Austin, Understanding Linear Algebra, §7.4 Singular Value Decompositions, Exercise 7

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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.