Proving Subspaces of Vector Spaces: Evaluating A Vector x

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Homework Help Overview

The discussion revolves around determining if a vector space is a subspace of another, specifically in the context of a matrix A with given column vectors and eigenvalues. The original poster attempts to prove that for any vector x in the subspace V, the vector Ax also belongs to V, while questioning the validity of their approach.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the relationship between the basis vectors of a subspace and the vectors of the larger vector space. There are attempts to express Ax in terms of the basis vectors e1 and e2, leading to questions about the validity of these expressions and the dimensionality of the spaces involved.

Discussion Status

The discussion is ongoing, with participants questioning the assumptions about linear combinations and dimensionality. Some guidance is offered regarding the relationship between the dimensions of the subspace and the larger space, but no consensus has been reached.

Contextual Notes

Participants note the dimensionality of the subspace V compared to the larger space R3, raising concerns about the completeness of the span of V in relation to the vectors in matrix A.

Supernova123
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Homework Statement


How would one determine if a vector space is a subspace of another one? I think that the basis vectors of the subspace should be able to be formed from a linear combination of the basis vectors of the vector space.

However, that doesn't seem to be true for this question: Let matrix A consist of column vectors (1,2,-3), (-4,-4,4) and (6,2,-8) with eigenvalues -2 and -5. I found e1=(2,3,1) and e2=(1,0,-1).

The linear space spanned by e1 and e2 is denoted by V. Prove that, for any vector x belonging to V, the vector Ax also belongs to V. I tried forming any of the column vectors in matrix A through a linear combination of e1 and e2 but that seems to fail. Instead, the answer is this: Let x=ae1+be2. Ax=A(ae1+be2)=aAe1+bAe2=-2ae1-5ae2. I understand this but why doesn't my method work?

Homework Equations

The Attempt at a Solution

 
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Supernova123 said:

Homework Statement


How would one determine if a vector space is a subspace of another one? I think that the basis vectors of the subspace should be able to be formed from a linear combination of the basis vectors of the vector space.

However, that doesn't seem to be true for this question: Let matrix A consist of column vectors (1,2,-3), (-4,-4,4) and (6,2,-8) with eigenvalues -2 and -5. I found e1=(2,3,1) and e2=(1,0,-1).

The linear space spanned by e1 and e2 is denoted by V. Prove that, for any vector x belonging to V, the vector Ax also belongs to V. I tried forming any of the column vectors in matrix A through a linear combination of e1 and e2 but that seems to fail. Instead, the answer is this: Let x=ae1+be2. Ax=A(ae1+be2)=aAe1+bAe2=-2ae1-5ae2. I understand this but why doesn't my method work?

Homework Equations

The Attempt at a Solution


Isn't Ax = -2ae1-5be2 a linear combination of the vectors e1 and e2?
 
Ax=a(1,2,-3)+b(-4,-4,4)+c(6,2,-8) and V contains Ax. So wouldn't de1+fe2=(1,2,-3) or (-4,-4,4) or (6,2,-8)?
 
Supernova123 said:
Ax=a(1,2,-3)+b(-4,-4,4)+c(6,2,-8) and V contains Ax. So wouldn't de1+fe2=(1,2,-3) or (-4,-4,4) or (6,2,-8)?

Think about it: as x ranges over S = R3 (the whole space), Ax ranges over S as well (because for any y in S the equation Ax = y has a unique solution). However, your defined subspace V (= set of all linear combinations of e1 and e2) is only two-dimensional, so cannot contain all three rows of A. In other words, a two-dimensional space is not a three-dimensional space.
 
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