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

Click For Summary
SUMMARY

This discussion focuses on constructing matrices whose null space consists solely of linear combinations of specific vectors, namely x, y, and z. The participants clarify that a matrix must have a rank of 4 and independent rows that are perpendicular to the vector in question to ensure the null space condition is met. An example matrix is provided, demonstrating that it can be in row echelon form while still fulfilling the requirements. The conversation emphasizes the importance of understanding the relationship between matrix rank and null space.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically null space and matrix rank.
  • Familiarity with matrix operations and row echelon form.
  • Knowledge of vector independence and orthogonality.
  • Experience with constructing matrices based on given conditions.
NEXT STEPS
  • Study the properties of null spaces in linear algebra.
  • Learn how to determine the rank of a matrix and its implications on null space.
  • Explore the concept of orthogonal vectors and their role in matrix construction.
  • Practice constructing matrices with specific null space requirements using software like MATLAB or Python's NumPy.
USEFUL FOR

Students and professionals in mathematics, particularly those specializing in linear algebra, as well as educators looking for practical examples of matrix theory applications.

karush
Gold Member
MHB
Messages
3,240
Reaction score
5
$
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:
Physics news on Phys.org
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.
 

Similar threads

  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K