null space of matrix with unknown value
i know how to compute the null space, but I'm not sure how to do it when there is an unknown value t in the matrix, it says the answer, could someone please explain it to me?
Suppose you write \(\mathbf{A}\) in row-reduced echelon form \(\mathbf{R}\): \[\begin{align*} \mathbf{A}=\begin{bmatrix}1&t&0&1\\-1&1&0&1\\1&-1&0&1\end{bmatrix}&\sim\begin{bmatrix}1&t&0&1\\0&1+t&0&2\\0&-1-t&0&0\end{bmatrix}\\[1ex] &\sim\begin{bmatrix}1&t&0&1\\0&1+t&0&2\\0&0&0&2\end{bmatrix}\\[1ex] &\sim\begin{bmatrix}1&0&0&0\\0&1&0&0\\0&0&0&1\end{bmatrix}=\mathbf{R} \end{align*}\]which suggests that \(\begin{bmatrix}0&0&c&0\end{bmatrix}^\intercal\) is in the nullspace (provided that \(t\neq-1\), as the hint suggests). In order for \(\mathbf{R}\mathbf{x}=\mathbf{0}\) to be true, the first, second and fourth components must be zero, while there is no such constraint on the third component.
Actually, I misunderstood the hint - the vector \(\begin{bmatrix}0&0&c&0\end{bmatrix}^\intercal\) is in the nullspace regardless of the value of \(t\).
how did 1+t dissapear in the 3rd matrix become 1 in the 4th matrix?
Whoops, I must have skipped a few steps there. The row operations I used were (in order) 1. \(R_2+R_1\to R_1\) and \(R_3-R_1\to R_3\) simultaneously 2. \(R_3+R_2\to R_3\) Not shown are 3. \(R_2-R_3\to R_2\), which returns \[\begin{bmatrix}1&t&0&1\\0&1+t&0&2\\0&0&0&2\end{bmatrix}\to\begin{bmatrix}1&t&0&1\\0&1+t&0&0\\0&0&0&2\end{bmatrix}\]4. \(-\dfrac{1}{1+t}R_2\to R_2\) (which can only be done if \(t\neq-1\)) and \(-\dfrac{1}{2}R_3\to R_3\) simultaneously, which gives \[\begin{bmatrix}1&t&0&1\\0&1+t&0&0\\0&0&0&2\end{bmatrix}\to\begin{bmatrix}1&t&0&1\\0&1&0&0\\0&0&0&1\end{bmatrix}\]5. \(R_1-tR_2-R_3\to R_1\), which gives the rref matrix \(\mathbf{R}\).
Join our real-time social learning platform and learn together with your friends!