What is the Dimension of the Subspace of M2;2 with Zero Diagonal Entries?

In summary, the dimension of the subspace of M2;2 consisting of all 2 by 2 matrices whose diagonal entries are zero is 2. This can be determined by finding a basis for the subspace using Gaussian elimination, where the matrices [0 1] and [1 0] generate the subspace. Additionally, it is important to note that no smaller set can generate the entire space. The result of span(spanV) is unknown without further information.
  • #1
baher
4
0
Find the dimension of the subspace of M2;2 consisting of all 2 by 2 matrices
whose diagonal entries are zero. ?

i know that the dimension is the number of vectors that are the basis for this subspace ,but i cannot figure out what is the basis for this subspace ?

any help will be appreciated ,
thanks in advance
 
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  • #2
Try doing a generalized row-reduction using Gaussian elimination, to see how many parameters determine the subspace.
 
  • #3
Question:

What's the difference between a 2 by 2 matrix and a column vector with 4 entries?

Presumably, you know how to find a basis for all the column vectors with 4 entries.
 
  • #4
so , Such a matrix is of the form
[0 b]
[c 0] for some b, c.

Since these matrices are generated by
[0 1].[0 0]
[0 0],[1 0], the dimension equals 2. is that a right answer ?
 
  • #5
Yes, that's it.
 
  • #6
I don't mean to use rigor, for rigor's sake, but I think it is important to note that not only
do those matrices generate, but that no smaller ( in size/cardinality) set generates the whole space.
 
  • #7
Specifically, any matrix in that set can be written
[tex]\begin{bmatrix}0 & a \\ b & 0\end{bmatrix}= \begin{bmatrix}0 & a \\ 0 & 0 \end{bmatrix}+ \begin{bmatrix}0 & 0 \\ b & 0 \end{bmatrix}= a\begin{bmatrix}0 & 1 \\ 0 & 0\end{bmatrix}+ b\begin{bmatrix}0 & 0 \\ 0 & 1\end{bmatrix}[/tex]
which makes it clear what a basis is.
 
  • #8
WHAT IS THE RESULT span(spanV)=?
 
  • #9
Try doing a generalized row-reduction using Gaussian elimination.
 

1. What is the dimension of a subspace?

The dimension of a subspace is the number of linearly independent vectors that span the subspace.

2. How do you determine the dimension of a subspace?

To determine the dimension of a subspace, you can use the rank-nullity theorem which states that the dimension of a subspace is equal to the rank of its basis vectors plus the dimension of its null space.

3. Can the dimension of a subspace be greater than the dimension of its parent vector space?

No, the dimension of a subspace cannot be greater than the dimension of its parent vector space. This is because the vectors in a subspace must be linearly independent, meaning they cannot be expressed as a linear combination of other vectors in the subspace or parent vector space.

4. How does the dimension of a subspace relate to the span of its vectors?

The dimension of a subspace is equal to the number of vectors in its span that are linearly independent. If there are n linearly independent vectors in the span, then the dimension of the subspace is n.

5. Can the dimension of a subspace change?

Yes, the dimension of a subspace can change if the vectors in the subspace are modified or if new vectors are added or removed. However, the dimension of a subspace will always be less than or equal to the dimension of its parent vector space.

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