Proving Subspaces of Vector Spaces: Evaluating A Vector x

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To determine if a vector space is a subspace of another, the basis vectors of the subspace must be expressible as linear combinations of the basis vectors of the larger space. In the case of matrix A with specific eigenvalues and vectors e1 and e2, the linear space spanned by e1 and e2, denoted V, is two-dimensional. The vector Ax, derived from any vector x in V, results in a linear combination of e1 and e2, but it does not encompass all vectors in the three-dimensional space defined by A. Thus, while Ax remains within the span of e1 and e2, the dimensionality of V limits its ability to represent all vectors in the larger space.
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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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