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Exercise 8

Avg difficulty 2.5
  1. If QQ is an orthogonal matrix, remember that QTQ=IQ^TQ=I. Explain why det⁡Q=±1\det Q = \pm 1.

  2. If A=UΣVTA=U\Sigma V^T is a singular value decomposition of a square matrix AA, explain why ∣det⁡A∣|\det A| is the product of the singular values of AA.

  3. What does this say about the singular values of AA if AA is invertible?

Austin, Understanding Linear Algebra, §7.4 Singular Value Decompositions, Exercise 8

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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.