LA : Just a quick question. Easy answer.

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Homework Help Overview

The discussion revolves around finding a basis for the kernel of a matrix A in the context of Linear Algebra. The original poster computed a solution to the equation Ax = 0 and derived a vector representation for the kernel.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • The original poster attempts to clarify whether their understanding of the basis for the kernel is correct, particularly regarding the uniqueness and representation of the basis vectors. Other participants question the notion of a "convention" for positive representation of basis vectors and discuss the validity of various scalar multiples as acceptable answers.

Discussion Status

Participants are exploring different interpretations of what constitutes an acceptable basis for the kernel. Some guidance has been offered regarding the flexibility of scalar multiples in defining the basis, and there is a recognition that the original poster's logic may be sound despite the grading feedback received.

Contextual Notes

The original poster expresses concern over being marked down for their answer and seeks validation of their reasoning. There is mention of the grading scale and the nature of the basis required, indicating that the problem does not specify the need for an orthonormal basis.

JonathanT
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Ok so I just got my test back for Linear Algebra and I was told to find a basis for the ker(A) where A = \begin{array}{cccc} 1 & 1 & 0 & 1 \\ 1 & 0 & -1 & 0 \\ 0 & 1 & 1 & 1 \\ -1 & 1 & -1 & -2 \end{array}

now I computed Ax = 0 and found x = [-t, 0 ,-t, t]^T. where x4 = t.

Then I wrote the basis as [1,0,1,-1]^T because I was under the impression that the basis is unique to any scalar multiple of the basis. So I simply took the scalar -1 to make as much of the basis positive as possible as I understand the convention is.

Am I wrong is thinking that the basis for the Ker(A) is [1,0,1,-1]^T as well as [-1,0,-1,1]^T?

I was marked of 6 points for this problem and I just wanted to make sure my logic was correct before I took a trip to the TA and looked like an idiot.

Thanks for your time.
 
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JonathanT said:
Ok so I just got my test back for Linear Algebra and I was told to find a basis for the ker(A) where A = \begin{array}{cccc} 1 & 1 & 0 & 1 \\ 1 & 0 & -1 & 0 \\ 0 & 1 & 1 & 1 \\ -1 & 1 & -1 & -2 \end{array}

now I computed Ax = 0 and found x = [-t, 0 ,-t, t]^T. where x4 = t.

Then I wrote the basis as [1,0,1,-1]^T because I was under the impression that the basis is unique to any scalar multiple of the basis. So I simply took the scalar -1 to make as much of the basis positive as possible as I understand the convention is.

Am I wrong is thinking that the basis for the Ker(A) is [1,0,1,-1]^T as well as [-1,0,-1,1]^T?

I was marked of 6 points for this problem and I just wanted to make sure my logic was correct before I took a trip to the TA and looked like an idiot.

Thanks for your time.

I have never heard of any "convention" about making something as "positive as possible". Either [1,0 1 -1]^T or [-1,0,-1,1]^T or [1/4,0,1/4,-1/4]^T or [-1/√3, 0,-1/√3, 1/√3]^T, [150,0,150,-150]^T etc., etc. are all perfectly good answers to the question, but it would be most "reasonable" to go with the first, second or fourth possibility above.

Is 6 not a good mark on the question?

RGV
 
JonathanT said:
Ok so I just got my test back for Linear Algebra and I was told to find a basis for the ker(A) where A = \begin{array}{cccc} 1 & 1 & 0 & 1 \\ 1 & 0 & -1 & 0 \\ 0 & 1 & 1 & 1 \\ -1 & 1 & -1 & -2 \end{array}

now I computed Ax = 0 and found x = [-t, 0 ,-t, t]^T. where x4 = t.

Then I wrote the basis as [1,0,1,-1]^T because I was under the impression that the basis is unique to any scalar multiple of the basis. So I simply took the scalar -1 to make as much of the basis positive as possible as I understand the convention is.

Am I wrong is thinking that the basis for the Ker(A) is [1,0,1,-1]^T as well as [-1,0,-1,1]^T?

I was marked of 6 points for this problem and I just wanted to make sure my logic was correct before I took a trip to the TA and looked like an idiot.

Thanks for your time.

If the problem asked for an orthonormal basis, then you would have to divide your vector by its norm. If not, then your answer is correct as stated. Any nonzero scalar multiple of your vector would also be correct.
 
Ray Vickson said:
I have never heard of any "convention" about making something as "positive as possible". Either [1,0 1 -1]^T or [-1,0,-1,1]^T or [1/4,0,1/4,-1/4]^T or [-1/√3, 0,-1/√3, 1/√3]^T, [150,0,150,-150]^T etc., etc. are all perfectly good answers to the question, but it would be most "reasonable" to go with the first, second or fourth possibility above.

Is 6 not a good mark on the question?

RGV

Thanks both of you. I'm glad I'm not crazy. Sorry I guess I didn't mean convention. I guess it would have been better to say that its the way its done by people like me who are "anal." I'll go talk to my TA about this and get my 6 points back. He only gave me 4/10 for the question.

And it was just a regular basis not an orthonormal one. Thanks for the help. Any theorem or proof I could show for this?

EDIT: Nvm, clearly Ax = 0 is a good enough proof.
 
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