Calculating Span of 3 Vectors in R^3

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Homework Help Overview

The discussion revolves around the concept of vector span and linear dependence in the context of three-dimensional space (R^3). Participants are examining whether specific sets of vectors can span R^3 and the implications of linear dependence on spanning sets.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the relationship between linear dependence and spanning sets, questioning the implications of a zero determinant. There are inquiries about the correct setup of matrices for determining independence and span. Some participants also explore specific examples of vector sets and their bases.

Discussion Status

The discussion is active, with participants clarifying concepts and questioning assumptions about linear dependence and independence. Some guidance has been provided regarding the setup of matrices and the conditions for forming bases, but no consensus has been reached on the specific examples presented.

Contextual Notes

There are mentions of potential confusion regarding the definitions of augmented matrices and determinants, as well as the implications of linear combinations among the vectors discussed. Participants are navigating through these concepts without complete resolution of the questions raised.

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Question about "Span"

Given 3 vectors:
v1=(1,1,2)
v2=(1,0,1)
v3=(2,1,3)

To determine if they span R^3, I placed these 3 vectors in an augmented matrix. I found the determinant to be 0 which means that the 3 vectors do NOT span R^3. My question is, since v1,v2,v3 are linearly dependent, are they not supposed to span R^3?
 
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Yes, if three vectors are independent, then they must span a three dimensional vector space- in this case R3. I am wondering about your use of "augmented" and then "determinant". "Augmenting" this matrix would give you a 4 by 3 matrix that does not have a determinant. Of course, you are correct that the determinant formed by the vectors (not augmented) has determinant 0. Now, are you sure these vectors are independent?

What you may be thinking of is this: to determine whether the vectors are independent or not, you could set up the matrix equation corresponding to saying that some linear combination: av1+ bv2+ cv2= 0 and set up the augmented matrix corresponding to that. If the row reduction of that gives a matrix having a row of all zeros then the vectors are NOT independent. What happens here?
 
I got a little mixed up with the linear dependence/independence, but I understand now. Thanx

I have another question though.. just want to make sure if my answer is correct:

Let S= Span {(1,1-3), (2,2,-6) , (-4,-4,12)}.

Is the basis of vectors = {(1,1,-3)(2,2,-6), (-4,-4,12)} ?
 
If they (1) span that subspace, and (2) are linearly independent, then yes, that is a basis of that subspace.
 
I have a question that kind of relates tp Josh123's questions about spanning.


Let's say we have a subspace: (2,4,7) (1,3,2)(1,1,5)

Since one of them is a linear combination of the other two, does it mean that we only need two of those vectors to form the basis?

Span{(1,3,2) (1,1,5)}
 
jackdamack10 said:
I have a question that kind of relates tp Josh123's questions about spanning.


Let's say we have a subspace: (2,4,7) (1,3,2)(1,1,5)

Since one of them is a linear combination of the other two, does it mean that we only need two of those vectors to form the basis?

Span{(1,3,2) (1,1,5)}

Two of those vectors will span and form the basis for a two dimensional subspace (plane) in the three dimensional space. They can be combined with appropriate multiplying coefficients to form any vector in that plane. The only way to represent a vector that is not in the plane is to have a third vector that is linearly independent of those two.
 
Josh123 said:
I got a little mixed up with the linear dependence/independence, but I understand now. Thanx

I have another question though.. just want to make sure if my answer is correct:

Let S= Span {(1,1-3), (2,2,-6) , (-4,-4,12)}.

Is the basis of vectors = {(1,1,-3)(2,2,-6), (-4,-4,12)} ?

If you "understand" the first problem, how could you possibly have a problem with this? Even if you don't want to do the work of setting up a matrix and row reducing, did you notice that (2,2,-6)= 2(1,1,-3) and that
(-4,-4,12)= 4(1,1,-3)?
 

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