Learning Outcomes
- Multiply matrices.
Section 4.1 Matrices and Multiplication (MX1)
Subsection 4.1.1 Class Activities
Observation 4.1.1.
If \(T: \IR^n \rightarrow \IR^m\) and \(S: \IR^m \rightarrow \IR^k\) are linear maps, then the composition map \(S\circ T\) is a linear map from \(\IR^n \rightarrow \IR^k\text{.}\)
Recall that for a vector, \(\vec{v} \in \IR^n\text{,}\) the composition is computed as \((S \circ T)(\vec{v})=S(T(\vec{v}))\text{.}\)
Activity 4.1.2.
Let \(T: \IR^3 \rightarrow \IR^2\) be given by the \(2\times 3\) standard matrix \(B=\left[\begin{array}{ccc} 2 & 1 & -3 \\ 5 & -3 & 4 \end{array}\right]\) and \(S: \IR^2 \rightarrow \IR^4\) be given by the \(4\times 2\) standard matrix \(A=\left[\begin{array}{cc} 1 & 2 \\ 0 & 1 \\ 3 & 5 \\ -1 & -2 \end{array}\right]\text{.}\)
What are the domain and codomain of the composition map \(S \circ T\text{?}\)
- The domain is \(\IR ^3\) and the codomain is \(\IR^2\)
- The domain is \(\IR ^2\) and the codomain is \(\IR^4\)
- The domain is \(\IR ^3\) and the codomain is \(\IR^4\)
- The domain is \(\IR ^4\) and the codomain is \(\IR^3\)
Activity 4.1.3.
Let \(T: \IR^3 \rightarrow \IR^2\) be given by the \(2\times 3\) standard matrix \(B=\left[\begin{array}{ccc} 2 & 1 & -3 \\ 5 & -3 & 4 \end{array}\right]\) and \(S: \IR^2 \rightarrow \IR^4\) be given by the \(4\times 2\) standard matrix \(A=\left[\begin{array}{cc} 1 & 2 \\ 0 & 1 \\ 3 & 5 \\ -1 & -2 \end{array}\right]\text{.}\)
What size will the standard matrix of \(S \circ T:\IR^3\to\IR^4\) be? (Rows \(\times\) Columns)
- \(\displaystyle 4 \times 3\)
- \(\displaystyle 3 \times 4\)
- \(\displaystyle 3 \times 2\)
- \(\displaystyle 2 \times 4\)
Activity 4.1.4.
Let \(T: \IR^3 \rightarrow \IR^2\) be given by the \(2\times 3\) standard matrix \(B=\left[\begin{array}{ccc} 2 & 1 & -3 \\ 5 & -3 & 4 \end{array}\right]\) and \(S: \IR^2 \rightarrow \IR^4\) be given by the \(4\times 2\) standard matrix \(A=\left[\begin{array}{cc} 1 & 2 \\ 0 & 1 \\ 3 & 5 \\ -1 & -2 \end{array}\right]\text{.}\)
(a)
Compute
\begin{equation*}
(S \circ T)(\vec{e}_1)
=
S(T(\vec{e}_1))
=
S\left(\left[\begin{array}{c} 2 \\ 5\end{array}\right]\right)
=
\left[\begin{array}{c}\unknown\\\unknown\\\unknown\\\unknown\end{array}\right].
\end{equation*}
(b)
Compute \((S \circ T)(\vec{e}_2)
\text{.}\)
(c)
Compute \((S \circ T)(\vec{e}_3)
\text{.}\)
(d)
Write the \(4\times 3\) standard matrix of \(S \circ T:\IR^3\to\IR^4\text{.}\)
Definition 4.1.5.
We define the product \(AB\) of a \(m \times n\) matrix \(A\) and a \(n \times k\) matrix \(B\) to be the \(m \times k\) standard matrix of the composition map of the two corresponding linear functions.
For the previous activity, \(T\) was a map \(\IR^3 \rightarrow \IR^2\text{,}\) and \(S\) was a map \(\IR^2 \rightarrow \IR^4\text{,}\) so \(S \circ T\) gave a map \(\IR^3 \rightarrow \IR^4\) with a \(4\times 3\) standard matrix:
\begin{equation*}
AB
=
\left[\begin{array}{cc} 1 & 2 \\ 0 & 1 \\ 3 & 5 \\ -1 & -2 \end{array}\right]
\left[\begin{array}{ccc} 2 & 1 & -3 \\ 5 & -3 & 4 \end{array}\right]
\end{equation*}
\begin{equation*}
=
\left[
(S \circ T)(\vec{e}_1) \hspace{1em}
(S\circ T)(\vec{e}_2) \hspace{1em}
(S \circ T)(\vec{e}_3)
\right]
=
\left[\begin{array}{ccc}
12 & -5 & 5 \\
5 & -3 & 4 \\
31 & -12 & 11 \\
-12 & 5 & -5
\end{array}\right]
.
\end{equation*}
Activity 4.1.6.
Let \(S: \IR^3 \rightarrow \IR^2\) be given by the matrix \(A=\left[\begin{array}{ccc} -4 & -2 & 3 \\ 0 & 1 & 1 \end{array}\right]\) and \(T: \IR^2 \rightarrow \IR^3\) be given by the matrix \(B=\left[\begin{array}{cc} 2 & 3 \\ 1 & -1 \\ 0 & -1 \end{array}\right]\text{.}\)
(a)
Write the dimensions (rows \(\times\) columns) for \(A\text{,}\) \(B\text{,}\) \(AB\text{,}\) and \(BA\text{.}\)
(b)
Find the standard matrix \(AB\) of \(S \circ T\text{.}\)
(c)
Find the standard matrix \(BA\) of \(T \circ S\text{.}\)
Activity 4.1.7.
Consider the following three matrices.
\begin{equation*}
A = \left[\begin{array}{ccc}1&0&-3\\3&2&1\end{array}\right]
\hspace{2em}
B = \left[\begin{array}{ccccc}2&2&1&0&1\\1&1&1&-1&0\\0&0&3&2&1\\-1&5&7&2&1\end{array}\right]
\hspace{2em}
C = \left[\begin{array}{cc}2&2\\0&-1\\3&1\\4&0\end{array}\right]
\end{equation*}
(a)
Find the domain and codomain of each of the three linear maps corresponding to \(A\text{,}\) \(B\text{,}\) and \(C\text{.}\)
(b)
Only one of the matrix products \(AB,AC,BA,BC,CA,CB\) can actually be computed. Compute it.
Activity 4.1.8.
Let \(B=\left[\begin{array}{ccc} 3 & -4 & 0 \\ 2 & 0 & -1 \\ 0 & -3 & 3 \end{array}\right]\text{,}\) and let \(A=\left[\begin{array}{ccc} 2 & 7 & -1 \\ 0 & 3 & 2 \\ 1 & 1 & -1 \end{array}\right]\text{.}\)
(a)
Compute the product \(BA\) by hand.
(b)
Check your work using technology. Using Octave:
B = [3 -4 0 ; 2 0 -1 ; 0 -3 3]
A = [2 7 -1 ; 0 3 2 ; 1 1 -1]
B*A
Activity 4.1.9.
Of the following three matrices, only two may be multiplied.
\begin{equation*}
A=\left[\begin{array}{cccc}
-1 & 3 & -2 & -3 \\
1 & -4 & 2 & 3
\end{array}\right] \hspace{1em} B=\left[\begin{array}{ccc}
1 & -6 & -1 \\
0 & 1 & 0
\end{array}\right] \hspace{1em} C=\left[\begin{array}{ccc}
1 & -1 & -1 \\
0 & 1 & -2 \\
-2 & 4 & -1 \\
-2 & 3 & -1
\end{array}\right]
\end{equation*}
Explain which two can be multiplied and why. Then show how to find their product.
Answer.
\begin{equation*}
AC=\left[\begin{array}{ccc}
9 & -13 & 0 \\
-9 & 12 & 2
\end{array}\right]
\end{equation*}
Subsection 4.1.2 Videos
Subsection 4.1.3 Slideshow
Slideshow of activities available at
https://teambasedinquirylearning.github.io/linear-algebra/2023e/MX1.slides.html.Exercises 4.1.4 Exercises
Exercises available at
https://teambasedinquirylearning.github.io/linear-algebra/2023e/exercises/#/bank/MX1/.Subsection 4.1.5 Mathematical Writing Explorations
Exploration 4.1.10.
Construct 3 matrices, \(A,B,\mbox{ and } C\text{,}\) such that- \(\displaystyle AB:\mathbb{R}^4\rightarrow\mathbb{R}^2\)
- \(\displaystyle BC:\mathbb{R}^2\rightarrow\mathbb{R}^3\)
- \(\displaystyle CA:\mathbb{R}^3\rightarrow\mathbb{R}^4\)
- \(\displaystyle ABC:\mathbb{R}^2\rightarrow\mathbb{R}^2\)
Exploration 4.1.11.
Construct 3 examples of matrix multiplication, with all matrix dimensions at least 2.- Where \(A\) and \(B\) are not square, but \(AB\) is square.
- Where \(AB = BA\text{.}\)
- Where \(AB \neq BA\text{.}\)
Exploration 4.1.12.
Use the included map in this problem.
- An adjacency matrix for this map is a matrix that has the number of roads from city \(i\) to city \(j\) in the \((i,j)\) entry of the matrix. A road is a path of length exactly 1. All \((i,i)\)entries are 0. Write the adjacency matrix for this map, with the cities in alphabetical order.
- What does the square of this matrix tell you about the map? The cube? The \(n\)-th power?
Subsection 4.1.6 Sample Problem and Solution
Sample problem Example B.1.18.
