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Orthogonality

Checking vectors and functions for orthogonality under various inner products, and classifying bases as orthogonal, orthonormal, or neither.

Matrix Theory and Linear Algebra, Orthogonality

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6 exercises

Exercise 11.2.1

Let A=[110120002]A=\left[\begin{array}{ccc}1&1&0\\ 1&2&0\\ 0&0&2\end{array}\right], and consider R3\mathbb{R}^{3} with the inner product given by ⟨u,v⟩=uTAv\langle\mathbf{u},\mathbf{v}\rangle=\mathbf{u}^{T}A\mathbf{v}. Which of the following vectors are orthogonal to each other?

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Exercise 11.2.2

On C[−1,1]C[-1,1], which of the following functions are orthogonal to each other?

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Exercise 11.2.3

Consider the inner product space P3\mathbf{P}_{3} of polynomials of degree at most 33, with the inner product defined by

  1. Find the orthogonal complement of {x2,x}\left\{x^{2},x\right\}.

  2. Find the orthogonal complement of {x+1}\left\{x+1\right\}.

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Exercise 11.2.4

Consider R3\mathbb{R}^{3} as an inner product space with the usual dot product. For each of the following bases of R3\mathbb{R}^{3}, state whether it is orthonormal, orthogonal, or neither.

  1. {[100],[010],[001]}\left\{\left[\begin{array}{r}1\\ 0\\ 0\end{array}\right],\left[\begin{array}{r}0\\ 1\\ 0\end{array}\right],\left[\begin{array}{r}0\\ 0\\ 1\end{array}\right]\right\}.

  2. {[101],[011],[001]}\left\{\left[\begin{array}{r}1\\ 0\\ 1\end{array}\right],\left[\begin{array}{r}0\\ 1\\ 1\end{array}\right],\left[\begin{array}{r}0\\ 0\\ 1\end{array}\right]\right\}.

  3. {[102],[010],[−201]}\left\{\left[\begin{array}{r}1\\ 0\\ 2\end{array}\right],\left[\begin{array}{r}0\\ 1\\ 0\end{array}\right],\left[\begin{array}{r}-2\\ 0\\ 1\end{array}\right]\right\}.

  4. {[35450],[00−1],[45−350]}\left\{\left[\begin{array}{r}\frac{3}{5}\\ \frac{4}{5}\\ 0\end{array}\right],\left[\begin{array}{r}0\\ 0\\ -1\end{array}\right],\left[\begin{array}{r}\frac{4}{5}\\ -\frac{3}{5}\\ 0\end{array}\right]\right\}.

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Exercise 11.2.5

Suppose B={u1,u2,u3}B=\left\{\mathbf{u}_{1},\mathbf{u}_{2},\mathbf{u}_{3}\right\} is an orthogonal basis for an inner product space VV, such that ∥u1∥=2\left\|\mathbf{u}_{1}\right\|=2, ∥u2∥=3\left\|\mathbf{u}_{2}\right\|=\sqrt{3}, and ∥u3∥=5\left\|\mathbf{u}_{3}\right\|=\sqrt{5}. Moreover, suppose that v∈V\mathbf{v}\in V is a vector such that ⟨v,u1⟩=1\langle\mathbf{v},\mathbf{u}_{1}\rangle=1, ⟨v,u2⟩=2\langle\mathbf{v},\mathbf{u}_{2}\rangle=2, and ⟨v,u3⟩=−4\langle\mathbf{v},\mathbf{u}_{3}\rangle=-4. Find the coordinates of v\mathbf{v} with respect to BB.

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Exercise 11.2.6

Suppose B={u1,u2,u3}B=\left\{\mathbf{u}_{1},\mathbf{u}_{2},\mathbf{u}_{3}\right\} is an orthogonal basis of R3\mathbb{R}^{3}. We have been told that

but it is not known what u2\mathbf{u}_{2} and u3\mathbf{u}_{3} are. Find the first coordinate of the vector

with respect to the basis BB.

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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.