Confirm Subspace: 2x2 Matrices B Where B[1 -1]^t=0

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In summary, the set of 2x2 matrices B such that B[1 -1]^t=0 vector is a subspace because it satisfies the three conditions for being a subspace: the 0 matrix is in the set, the sum of two matrices in the set is also in the set, and the scalar multiple of a matrix in the set is also in the set.
  • #1
pyroknife
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Which of the following is a subspace of M2x2 (the vector space of 2x2 matrices. and explain why or why not:
1) Set of 2x2 matrices A such that det(A)=1
2) set of 2x2 matrices B such that B[1 -1]^t=0 vector
To check if something is a subspace I must satisfy 3 conditions (applied for matrix A):
1) 0 matrix is A
2) If U and V are in A then U+V is in A
3) if V is in A then cV is in A for some scalar c.
The above is analogous for matrix B.

For 1) Set of 2x2 matrices A such that det(A)=1
The 0 matrix is not in this set because the determinant is 0 which ≠1, thus the set of 2x2 matrices A is not a subspace.

Is this correct?
For 2) set of 2x2 matrices B such that B[1 -1]^t=0 vector
The 0 matrix is in this set because the matrix 2x2 consisting of all 0s multiplied by [1 -1]^t is =0.

Now I want to make sure I'm correctly applying the latter 2 conditions.
If U and V are in this set, then the following is true.
If U*[1 -1]^t=0 and V*[1 -1]^t=0
U+V=(U+V)[1 -1]^t. Since U and V are 0, U+V=0. thus U+V=(0+0)[1 -1]^t.=0, thus U+V is in B?

For condition 3: if V1*[1 -1]^t=0 is in the set, then cV must be in the set for it to be a subspace.
cV1*[1 -1]^t=c*0*[1 -1]^t=0, thus cV is in the set?

Thus the set of 2x2 matrices B such that B[1 -1]^t=0 vector is a subspace.
 
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  • #2
pyroknife said:
If U and V are in B, then they're of the following form
If U=U1*[1 -1]^t=0 and V=V1*[1 -1]^t=0
First, B is not the set of interest. It is used as an example of one of the matrices. No letter has been assigned to the set, so let's call it S.
If U is in S it means U*[1 -1]^t=0. U is not of the form U1*[1 -1]^t, and it is not usually 0.
 
  • #3
haruspex said:
First, B is not the set of interest. It is used as an example of one of the matrices. No letter has been assigned to the set, so let's call it S.
If U is in S it means U*[1 -1]^t=0. U is not of the form U1*[1 -1]^t, and it is not usually 0.

Thanks.

I edited my original post. Does it look better?
 
  • #4
pyroknife said:
Thanks.

I edited my original post. Does it look better?

Please do not edit your original post and just reply.
 
  • #5
pyroknife said:
If U and V are in this set, then the following is true.
If U*[1 -1]^t=0 and V*[1 -1]^t=0
Yes.
U+V=(U+V)[1 -1]^t.
No it doesn't
Since U and V are 0, U+V=0.
No they aren't
thus U+V=(0+0)[1 -1]^t.=0,
No it isn't.
Stop and think... what do you have to prove about U+V that would imply it is in S?
 
  • #6
haruspex said:
Yes.

No it doesn't

No they aren't

No it isn't.
Stop and think... what do you have to prove about U+V that would imply it is in S?

I have to prove that the addition of two things in S must be in S in order for it to be a subspace.

Instead of U+V=(U+V)[1 -1]^t. , I should've written:
U*[1 -1]^t +V*[1 -1]^t=0=(U+V)*[1 -1]^t=0
(0+0)*[1 -1]^t=0
Thus U*[1 -1]^t +V*[1 -1]^t is in S.

Is this the right idea?
 
  • #7
pyroknife said:
I have to prove that the addition of two things in S must be in S in order for it to be a subspace.

Instead of U+V=(U+V)[1 -1]^t. , I should've written:
U*[1 -1]^t +V*[1 -1]^t=0=(U+V)*[1 -1]^t=0
Yes, and if you just rearrange that sequence you will have a logical proof. But what has the next line to do with anything?
(0+0)*[1 -1]^t=0
Thus U*[1 -1]^t +V*[1 -1]^t is in S.
No, you're not trying to prove U*[1 -1]^t +V*[1 -1]^t is in S. You want to show U+V is in S.
 

FAQ: Confirm Subspace: 2x2 Matrices B Where B[1 -1]^t=0

1. What is a subspace?

A subspace is a subset of a vector space that satisfies all the properties of a vector space, such as closure under addition and scalar multiplication. It is essentially a smaller space within a larger space.

2. How do you confirm a subspace?

To confirm that a set of objects is a subspace, you need to check that it satisfies all the properties of a vector space. In this case, you would need to verify that the set of 2x2 matrices B where B[1 -1]^t=0 satisfies the properties of a vector space.

3. What does the notation B[1 -1]^t=0 mean?

This notation represents the condition that the transpose of the matrix B multiplied by the vector [1 -1] results in the zero vector. In other words, the first row of B subtracted by the second row of B must equal zero, or B[1 -1]^t=0.

4. Can 2x2 matrices B where B[1 -1]^t=0 be a subspace?

Yes, it is possible for a set of 2x2 matrices B where B[1 -1]^t=0 to be a subspace. However, this is not always the case and it depends on the specific properties of the matrices in the set.

5. What is the significance of confirming a subspace?

Confirming a subspace is important because it allows us to identify and work with smaller, more manageable spaces within larger vector spaces. This can make solving problems and performing calculations more efficient and practical.

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