What does singularity have to do with whether or not it is a Vector Space?

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Homework Help Overview

The discussion revolves around determining whether the set of all 2 x 2 singular matrices, under standard operations, constitutes a vector space. Participants explore the implications of singularity in relation to the vector space axioms.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the closure property under addition for the set of singular matrices, with a counterexample provided to illustrate that the sum of two singular matrices can yield a non-singular matrix. Questions arise regarding the connection between singularity and the failure of vector space axioms.

Discussion Status

Some participants affirm that the set is not a vector space due to the failure of closure under addition, while others seek to clarify their understanding of the axioms involved. There is acknowledgment of the need to verify all axioms to prove a set is a vector space, but only one counterexample is needed to demonstrate it is not.

Contextual Notes

Participants express challenges in grasping the implications of singularity and its relation to the axioms of vector spaces. There is mention of difficulties in using LaTeX for matrix representation, which may affect clarity in communication.

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Homework Statement



Determine whether the set, together with the indicated operations, is a vector space. If it is not, identify at least one of the ten vector space axioms that fails.

"The set of all 2 x 2 singular matrices with the standard operations."



Homework Equations





The Attempt at a Solution



This is from the solution guide,

This set is not a vector space because it is not closed under addition. A counterexample is,
1 0 + 0 0 = 1 0
0 0 0 1 0 1
Each matrix on the left is singular, while the sum is non-singular.

I must be drawing a blank, because I don't see how singularity (in this case singular, meaning it is not invertible and the determinant equals 0) has to do with the 10 axioms and the counterexample proves that at least one of the axioms has failed. Thanks guys.

I'm having trouble using latex for a matrix, we have singular matrix A and B A + B produces a non-singular matrix.
A=
[1 0]
[0 0]

B=
[0 0]
[0 1]

C=
[1 0]
[0 1]
 
Last edited:
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Hint: Look at the definition of a vector space, V. If A and B are elements of V, then what about A + B? What about scalar multiplication with A or B?

You are asked to say whether the set of all 2 x 2 singular matrices with standard operations is a vector space. Look at a couple examples of 2 x 2 singular matrices.
 
You aren't drawing a blank. You are exactly correct that that set of matrices isn't closed under addition. End of discussion. Not a vector space.

[Edit] Woops. I didn't see that was from the solution guide. Oh well, maybe you see now.
 
I'm having a hard time grasping this, am I going about this the right way? In the counterexample, it seems to me that they verified axiom 1 failed, A and B are in the set (of singular matrices) but A+B is not in the same set (because it is singular?). Is that all it is? Because A+B is non-singular, it is not an element in the 2x2 singular matrix set.
 
dietcookie said:
I'm having a hard time grasping this, am I going about this the right way? In the counterexample, it seems to me that they verified axiom 1 failed, A and B are in the set (of singular matrices) but A+B is not in the same set (because it is singular?). Is that all it is? Because A+B is non-singular, it is not an element in the 2x2 singular matrix set.

Yes, that's all there is to it. When you add two elements of a vector space you must get another element of the vector space, and in this case, you don't always. So it isn't a vector space.
 
Note that to prove something is a vector space, you must verify that all of the axioms are true for all vectors in the set. To prove that it is not a subspace you only have to provide a counter example to one axiom.
 

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