What is the nullspace of a 3x3 complex matrix?

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In summary, the conversation is about finding the nullspace of a 3x3 matrix and determining a basis for it. The individual has reduced the matrix to row echelon form and obtained a matrix with a row of zeros. They have discussed using different software to check their results and have ultimately determined that the nullspace can be represented by the vector (-0.5-0.5i, 0.5-0.5i, 1).
  • #1
math2010
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Homework Statement


I have the 3x3 matrix C=(1,-1,1; 2,0,1+i; 0,1+i,-1) and I want to find its nullspace (a set of vectors that span that subspace).


The Attempt at a Solution


So first I have reduced the matrix to row echelon form and I got this matrix:
(1,-1,1; 0,1,-0.5+0.5i; 0,0,0)

How do I read off from this the nullspace of this matrix? What is a basis for this nullspace?

By "i" I mean imaginary since this is a complex matrix.
 
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  • #2


I ended up with a different row-reduced matrix, with no rows of zeroes.
 
  • #3


Are you sure? Because I used Mathematica to check the reduced row echelon form of this matrix, and it seems the rref has a row of zeros!

Also, does the set containing (-1,0.5+0.5i,1) and (1,0,0) span the subspace?
 
Last edited:
  • #4


I tried row-reducing it again using Matlab and I still got a zero row:

1 0 0.5 + 0.5i
0 1 -0.5 + 0.5i
0 0 0
 
  • #5


That reduced matrix corresponds to equations

[tex]x+(0.5+0.5 i)z = 0[/tex]
[tex]y+(-0.5+0.5 i)z = 0[/tex]

Solving for the other variables in terms of z, you get a solution of

[tex]\begin{pmatrix}x\\y\\z\end{pmatrix}=z\begin{pmatrix}-0.5-0.5i\\0.5-0.5i\\1\end{pmatrix}[/tex]

The vector multiplying the z on the RHS is a basis of the nullspace.
 
  • #6


math2010 said:
I tried row-reducing it again using Matlab and I still got a zero row:

1 0 0.5 + 0.5i
0 1 -0.5 + 0.5i
0 0 0
I agree with your result now.
 

1. What is a nullspace?

A nullspace, also known as a kernel, is the set of all vectors in a vector space that map to the zero vector when multiplied by a given linear transformation.

2. Why do we want to find the nullspace of a matrix?

Finding the nullspace of a matrix allows us to determine the linearly dependent vectors in the matrix and understand the structure of the vector space.

3. How do we find the nullspace of a matrix?

To find the nullspace of a matrix, we can use Gaussian elimination to reduce the matrix to reduced row echelon form. The columns without a pivot column form the basis for the nullspace.

4. Can the nullspace of a matrix be empty?

Yes, the nullspace of a matrix can be empty if the matrix is invertible. This means that there are no linearly dependent vectors in the matrix and the nullspace is just the zero vector.

5. What is the relationship between the nullspace and the rank of a matrix?

The dimension of the nullspace is equal to the number of linearly independent columns that are not pivot columns, which is also known as the rank of the matrix. This means that the nullspace and the rank are complementary to each other.

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