- (a)
- Is in YES, NO
Suppose is in . Then we can write \begin{align*} \vec{w} &= a_1 (\vec{v}_{1}+\vec{w}) + \dots + a_m (\vec{v}_{m}+\vec{w}) \\ \vec{w} &= a_1\vec{v}_{1} + \dots + a_m\vec{v}_{m}+ (a_1 + \dots + a_m)\vec{w}. \end{align*}
Now consider two cases separately: either or . In either case, arrive at a contradiction and conclude that is not in .
- (b)
- Is linearly independent? YES, NO
Challenge Problems for Chapter 3
- (a)
- \begin{equation*} \left [ \begin{array}{ccc|c} 1 & 0 & * & 0 \\ 0 & 1 & * & 0 \\ 0 & 0 & 0 & 0 \end{array} \right ] \end{equation*}
- (b)
- \begin{equation*} \left [ \begin{array}{ccc|c} 1 & * & * & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \end{array} \right ] \end{equation*}
- (c)
- Are there any other possibilities?
We can find the line of intersection by solving a system of equations. Suppose the augmented matrix corresponds to this system.
- (a)
- Explain why will have a row of zeros.
- (b)
- Consider the normal vectors to the three planes. What geometric property of these particular three normal vectors explains the row of zeros in the reduced row-echelon form?
Bibliography
The first problem came from the end of Chapter 1 of Keith Nicholson’s Linear Algebra with Applications. (CC-BY-NC-SA)
W. Keith Nicholson, Linear Algebra with Applications, Lyryx 2018, Open Edition, pp. 33–34.
2024-09-11 17:54:56