Solving for Vector Space V: Find Dimension & Basis

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Homework Help Overview

The problem involves finding the dimension and a basis of the vector space V, defined as the set of all vectors (a,b,c) in R^3 that satisfy the equation a + 2b - 4c = 0.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the representation of vectors in V and explore the linear combinations of found vectors to determine if they form a basis. Questions arise regarding the necessity of a third vector and the uniqueness of a basis.

Discussion Status

Participants are actively exploring the conditions for a set of vectors to be a basis of V, including linear independence and spanning. There is recognition that the two vectors identified may indeed form a basis, but confirmation through further reasoning is needed.

Contextual Notes

There is some uncertainty about the dimensionality of V and whether additional vectors are required for a complete basis. Participants also question the implications of linear independence and the nature of subspaces in relation to V.

mathmathmad
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Homework Statement


Find the dimnesion and a basis of vector space V


Homework Equations


V is the set of all vectors (a,b,c) in R^3 with a+2b-4c=0


The Attempt at a Solution


(4c-2b,b,c) = b(-2,1,0) + c(4,0,1)
so {(-2,1,0),(4,0,1)} is the basis of the SUBSPACE of V right?

how do I get the 3rd linearly independent vector so that it forms the basis of V?
Is it (1,0,0)? (0,1,0) seems possible... but the basis of a vector space isn't unique right?
 
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mathmathmad said:
(4c-2b,b,c) = b(-2,1,0) + c(4,0,1)
This is a good start, and the right idea needed to solve the problem.

so {(-2,1,0),(4,0,1)} is the basis of the SUBSPACE of V right?
THE subspace? V has many subspaces and you're not asked to find bases of them. What you want is a basis of V. Remember that a basis of V is a set of vectors that span V and is linearly independent. Now consider:
1. For any vector of the form (4c-2b,b,c) (i.e. a vector in V) can you express it as a linear combination of (-2,1,0) and (4,0,1). If the answer is yes, then (-2,1,0) and (4,0,1) span V and therefore we need not find more basis elements.
2. Is {(-2,1,0),(4,0,1)} linearly independent?
If you can answer both 1 and 2 in the affirmative, then {(-2,1,0),(4,0,1)} is a basis of V.

how do I get the 3rd linearly independent vector so that it forms the basis of V?
Why do you believe you need a 3rd vector? You would only need a third vector if the dimension of V is 3, but it could be smaller (2 for instance).

Is it (1,0,0)? (0,1,0) seems possible... but the basis of a vector space isn't unique right?

Neither (1,0,0) nor (0,1,0) is actually in V so they can't be used. No a basis isn't unique, but your set from the first part of your answer is a good guess for a basis.
 
I think I've read somewhere that if there is m linearly independent vectors in R^n where m<n, these vectors form the subspace

since we have R^3 now and found 2 linearly independent vectors, so I thought these 2 vectors form a subspace...

does that mean basis of V is JUST {(-2,1,0) , (4,0,1)} in this case?
 
mathmathmad said:
I think I've read somewhere that if there is m linearly independent vectors in R^n where m<n, these vectors form the subspace
I guess I was thrown of by your use of the. It's true that m linearly independent vectors span a subspace of R^n. In your case V is the subspace of R^n.

since we have R^3 now and found 2 linearly independent vectors, so I thought these 2 vectors form a subspace...
They do, but they do form the subspace V or another?

does that mean basis of V is JUST {(-2,1,0) , (4,0,1)} in this case?
Yes, but you need to confirm it by proving that they span V and that they are linearly independent. Of course this implies that V has dimension 2. So in this case {(-2,1,0), (4,0,1)} span a subspace of R^3, and this subspace is V.
 

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