Back to Orthogonal bases and projections

Exercise 10

Avg difficulty 2.5

This exercise is about 2×22\times2 orthogonal matrices.

  1. In The geometry of matrix transformations, we saw that the matrix [cos⁡θ−sin⁡θsin⁡θcos⁡θ]\begin{bmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{bmatrix} represents a rotation by an angle θ\theta. Explain why this matrix is an orthogonal matrix.

  2. We also saw that the matrix [cos⁡θsin⁡θsin⁡θ−cos⁡θ]\begin{bmatrix} \cos\theta & \sin\theta \\ \sin\theta & -\cos\theta \end{bmatrix} represents a reflection in a line. Explain why this matrix is an orthogonal matrix.

  3. Suppose that u1=[cos⁡θsin⁡θ]\uvec_1=\twovec{\cos\theta}{\sin\theta} is a 2-dimensional unit vector. Use a sketch to indicate all the possible vectors u2\uvec_2 such that u1\uvec_1 and u2\uvec_2 form an orthonormal basis of R2\real^2.

  4. Explain why every 2×22\times2 orthogonal matrix is either a rotation or a reflection.

Austin, Understanding Linear Algebra, §6.3 Orthogonal bases and projections, Exercise 10

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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.