Back to Matrix Theory and Linear Algebra

The matrix of a linear transformation

Building the matrix of a transformation with respect to a non-standard basis, and using basis images or projection formulas to determine it fully.

Matrix Theory and Linear Algebra, The matrix of a linear transformation

Status
FlagsLoading your progress…

6 exercises

Exercise 10.4.2

Let B={[1−12],[212],[−102]}B=\left\{\left[\begin{array}{r}1\\ -1\\ 2\end{array}\right],\left[\begin{array}{r}2\\ 1\\ 2\end{array}\right],\left[\begin{array}{r}-1\\ 0\\ 2\end{array}\right]\right\} be a basis of R3\mathbb{R}^{3} and let x=[5−14]\mathbf{x}=\left[\begin{array}{r}5\\ -1\\ 4\end{array}\right] be a vector in R2\mathbb{R}^{2}. Find [x]B\left[\mathbf{x}\right]_{B}.

3.0

Exercise 10.4.3

Suppose T:R3→R3T:\mathbb{R}^{3}\to\mathbb{R}^{3} is a linear transformation such that

Let E={e1,e2,e3}E=\left\{\mathbf{e}_{1},\mathbf{e}_{2},\mathbf{e}_{3}\right\} be the standard basis of R3\mathbb{R}^{3}, and let

be another basis.

  1. Find the matrix of TT with respect to EE, i.e., find [T]E,E\left[T\right]_{E,E}.

  2. Find [T]B,B\left[T\right]_{B,B}.

3.0

Exercise 10.4.4

Let T:R2→R2T:\mathbb{R}^{2}\to\mathbb{R}^{2} be a linear transformation defined by

Consider the two bases

and

Find the matrix MB2,B1M_{B_{2},B_{1}} of TT with respect to the bases B1B_{1} and B2B_{2}.

3.0

Exercise 10.4.7

Let v=[1−23]\mathbf{v}=\left[\begin{array}{r}1\\ -2\\ 3\end{array}\right] and consider the linear function T(w)=proj⁡v(w)T(\mathbf{w})=\operatorname{proj}_{\mathbf{v}}(\mathbf{w}). Find the matrix of TT with respect to the standard basis of R3\mathbb{R}^{3}.

3.0

Exercise 10.4.8

Let v=[1−23]\mathbf{v}=\left[\begin{array}{r}1\\ -2\\ 3\end{array}\right] and consider the linear function T(w)=proj⁡v(w)T(\mathbf{w})=\operatorname{proj}_{\mathbf{v}}(\mathbf{w}). Find the matrix of TT with respect to the basis

3.0

Exercise 10.4.9

Suppose that VV and WW are finite-dimensional vector spaces with bases BB and CC, respectively. Let T:V→WT:V\to W be a linear transformation such that

for i=1,…,ni=1,\ldots,n. Let MM be the matrix whose columns are [v1]B,…,[vn]B\left[\mathbf{v}_{1}\right]_{B},\ldots,\left[\mathbf{v}_{n}\right]_{B}, and let NN be the matrix whose columns are [w1]C,…,[wn]C\left[\mathbf{w}_{1}\right]_{C},\ldots,\left[\mathbf{w}_{n}\right]_{C}. Suppose that MM is invertible. Show that [T]C,B=NM−1\left[T\right]_{C,B}=NM^{-1}.

3.0

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.