Determine a basis for kernel/nullspace

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Homework Help Overview

The discussion revolves around determining a basis for the kernel (nullspace) of a given matrix A, specifically focusing on the implications of different representations of basis vectors and their order. The subject area is linear algebra, particularly concerning vector spaces and bases.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to understand the concept of a basis in the context of the kernel of a matrix and questions whether different representations of basis vectors can be considered equally valid. Some participants discuss the nature of basis sets being unordered and clarify the distinction between a basis and arbitrary elements of the null space.

Discussion Status

Participants have provided clarifications regarding the definition of a basis and the significance of order in the context of vector sets. There is an ongoing exploration of the implications of these definitions on the original poster's understanding of the kernel.

Contextual Notes

The original poster expresses uncertainty stemming from a previous experience with the Gram-Schmidt process and seeks to reconcile their understanding with the textbook definitions. There is mention of confusion regarding the representation of basis vectors and their parameters.

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Homework Statement


[/B]
A=##\begin{bmatrix}
1 & 2 & 3 \\
4 & 8 & 12
\end{bmatrix}##

Question: Determine a basis for ker(A).

Homework Equations


Ker(A)=##\begin{bmatrix}
1 & 2 & 3& |&0 \\
4 & 8 & 12& |&0
\end{bmatrix}##

(And reduce with gaussian elimination)

The Attempt at a Solution


(Sorry for no attempt on LaTeX here, it's my first time trying to use it at all above.)

Some background information, i am revisiting linear algebra and I were doing gram-schmidt process and got a totally different answer than the textbook, however i am confident i did not make a mistake during the actual gram-schmidt.
Then it occurred to me that i must have chosen a different basis than the textbook, which made me unsure in what i recall and know about the basis for the kernel. I couldn't really find any straight forward information about it in my textbook or with a few google searches, so now I've gotten caught up in my own minor insecurities in basic details.

A easy example below to illustrate my point, are both Basis #1 and Basis #2 correct (i just realized that i wrote base on the paper...)? They would of course lead to two very different orthogonal basis when using gram-schmidt, but both would be orthogonal nonetheless.

My reasoning behind them being equally correct is that there is no (to me) intuitive "basis vector 1 and basis vector 2" as it would be for example unit vectors. Still, the span should be independent of the order in the "set" anyway if i am not wrong? I.e. i would still reach all the points regardless of the order.

b2AyL0a.jpg
 

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A basis is an unordered set of vectors. So the two things you wrote relate to the same basis, which is indeed a basis for the null space.

Also, you don't write the s and t in writing the basis. Writing the s and t gives an arbitrary element of the null space, not a basis. In this case a basis is just two purely numeric vectors.
 
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andrewkirk said:
A basis is an unordered set of vectors. So the two things you wrote relate to the same basis, which is indeed a basis for the null space.

Also, you don't write the s and t in writing the basis. Writing the s and t gives an arbitrary element of the null space, not a basis. In this case a basis is just two purely numeric vectors.
Great, thanks.

That's very true, i think i tried to make it overly clear with the "order" by keeping the parameters.

Thanks for clarifying!
 
Bobman said:
Great, thanks.

That's very true, i think i tried to make it overly clear with the "order" by keeping the parameters.

Thanks for clarifying!
The basis vectors are the things that completely define this subspace. Every vector in the nullspace is a linear combination of these two vectors, so if ##\vec v \in Null(A)##, then ##\vec v = s<-2, 1, 0> + t<-3, 0, 1>##.
That's where the parameters come in, not when you are just listing the vectors that form a basis. Note that any nonzero multiple of either vector would also consitute a basis.
In a set, the order of the set elements doesn't matter.
 

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