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Orthogonal functions and orthogonal matrices

Deciding which transformations and matrices are orthogonal or isometries, by checking preserved lengths and orthonormal columns.

Matrix Theory and Linear Algebra, Orthogonal functions and orthogonal matrices

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3 exercises

Exercise 11.6.1

Which of the following linear transformations T:R3→R3T:\mathbb{R}^{3}\to\mathbb{R}^{3} are orthogonal?

  1. A rotation by 30 degrees about the zz-axis.

  2. A reflection about the plane x=yx=y.

  3. A scaling by a factor of 22.

  4. A scaling by a factor of −1-1.

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Exercise 11.6.2

Which of the following matrices define orthogonal transformations? Which ones define isometries?

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Exercise 11.6.3

Determine which of the following matrices are orthogonal by checking whether the columns form an orthonormal set.

3.0
Application: Least squares approximations and curve fittingDiagonalization of real symmetric matrices

Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.

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