MHB Matrices.......whose null space consists all linear combinations

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The discussion focuses on constructing matrices whose null spaces consist solely of linear combinations of specific vectors, particularly x, y, and z. Participants clarify that to achieve this, the matrices must have a rank of 4, ensuring that the rows are independent and perpendicular to the vector in question. It is emphasized that a null matrix would incorrectly include vectors independent of the specified vector in its null space. Additionally, while there is a suggestion for a 5x5 matrix, it is confirmed that this is not a requirement. The conversation highlights the importance of understanding the relationship between matrix rank and null space in linear algebra.
karush
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$
v=\left[\begin{array}{r}
-3\\-4\\-5\\4\\-1
\end{array}\right]
w=\left[\begin{array}{r}
-2\\0 \\1 \\4 \\-1
\end{array}\right]
x=\left[\begin{array}{r}
2\\3 \\4 \\-5 \\0
\end{array}\right]
y=\left[\begin{array}{r}
-2\\1 \\0 \\-2 \\7
\end{array}\right]
z=\left[\begin{array}{r}
-1\\0 \\2 \\-3 \\5
\end{array}\right]
$
Construct matrices not yet row reduced echelon form whose null space consists all linear combinations of
1. just x
2. just y
3. just z
ok I presume this

$A_1=a_1\left[\begin{array}{r}2\\3 \\4 \\-5 \\0\end{array}\right]
=\left[\begin{array}{r}2a_1\\3a_1 \\4a_1 \\-5a_1 \\0\end{array}\right]
$
 
Last edited:
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Okay, so you want to take $a_1= 0$ so that 0 times $\begin{bmatrix}2 \\ 3 \\ 4 \\ -5 \\ 0\end{bmatrix}$ is 0. That is a valid answer to that question. But I suspect that is not what they really meant! I suspect they want a square, 5 by 5, matrix. In that case you want
$\begin{bmatrix} a_1 & a_2 & a_3 & a_4 & a_5 \\ b_1 & b_2 & b_3 & b_4 & b_5 \\ c_1 & c_2 & c_3 & c_4 & c_5 \\ d_1 & d_2 & d_3 & d_4 & d_5 \\ e_1 & e_2 & e_3 & e_4 & e_5 \end{bmatrix} $$\begin{bmatrix}2 \\ 3 \\ 4 \\ -5 \\ 0\end{bmatrix}= $$\begin{bmatrix}2a_1+ 3a_2+ 4a_4- 5a_5 \\ 2b_1+ 3b_2+ 4b_4- 5b_5 \\ 2c_1+ 3c_2+ 4c_4- 5c_5 \\ 2d_1+ 3d_2+ 4d_4- 5d_5 \\ 2e_1+ 3e_2+ 4e_4- 5e_5 \end{bmatrix}= \begin{bmatrix}0 \\ 0 \\ 0 \\ 0 \\ 0 \end{bmatrix}$.

That is five equations in 25 unknowns so there is no unique solution. You can choose 20 of them to be any numbers you want (I would probably use 0's and 1's) and solve for the remaining 5.
 
ok I think that would answer v,w,x,y,z
altho I didn't mention it in the OP i thot if just one matrix was ok the rest of the combinations would be just additional modifications

Construct 7 matrices not yet row reduced echelon form whose null space consists all linear combinations of
1. just x
2. just y
3. just z
4. of the pairs x and y
5. of the pairs y and z
6. of the pairs z and x
7. all 3 vectors x y and z

So the pairs of x an y would be
$A_1=a_1\left[\begin{array}{r}2\\3 \\4 \\-5 \\0\end{array}\right]
+
a_2\left[\begin{array}{r} -2\\1 \\0 \\-2 \\7 \end{array}\right]
=\left[\begin{array}{rl}
2a_1&+(-2a_2)\\
3a_1&+ a_2 \\
4a_1&+(-2a_2) \\
-5a_1&+7a_2
\end{array}\right]$
and so on ,,, hopefully:unsure:
 
Last edited:
Country Boy said:
Okay, so you want to take $a_1= 0$ so that 0 times $\begin{bmatrix}2 \\ 3 \\ 4 \\ -5 \\ 0\end{bmatrix}$ is 0. That is a valid answer to that question.
Not quite. They are asking for a matrix such that the null space is "just" multiples of $x$.
If we take a null matrix, then vectors independent to $x$ are also in the null space, which violates the condition.

Instead we need a matrix $A_1$ of rank $4$ such that $A_1x=0$.
At a minimum the matrix must have $4$ independent rows.
Furthermore, each row must be perpendicular to $x$.
If we want to, we can add more rows, which must then be linear combinations of the $4$ independent rows.

So let's pick $4$ rows that are independent and perpendicular to $x$.
For instance:
$$A_1 x = \begin{bmatrix}5&0&0&2&0 \\ 0&5&0&3&0 \\ 0&0&5&4&0 \\ 0&0&0&0&1\end{bmatrix}\begin{bmatrix}2 \\ 3 \\ 4 \\ -5 \\ 0\end{bmatrix}$$
We can verify that each of the $5$ unit vectors are indeed not in the null space.
From the row echelon form we can see that the rows are indeed independent so that its rank is $4$ as needed.
And since each row is perpendicular to $x$, we have that $x$ is in the null space.

Oh, and oops, it's already in row echelon form although that was not needed. :oops:

Country Boy said:
But I suspect that is not what they really meant! I suspect they want a square, 5 by 5, matrix.
So no, it doesn't have to be a 5x5 matrix.
 
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