Figuring Out Spanning w/ Vectors of 3 Components

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Discussion Overview

The discussion revolves around determining whether a given vector \( w \) lies within the subspace spanned by three vectors \( v_1, v_2, v_3 \) in three-dimensional space. Participants explore concepts from linear algebra, including the representation of vectors as linear combinations and the use of determinants to assess the existence of solutions to corresponding systems of equations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant describes the process of expressing \( w \) as a linear combination of \( v_1, v_2, v_3 \) and provides an example to illustrate this method.
  • Another participant suggests that finding the coefficients \( a, b, c \) is the challenging part and outlines a system of equations that must be solved to determine if \( w \) is in the span.
  • A later reply introduces the concept of a transition matrix formed by the vectors and mentions that the determinant of this matrix can indicate whether solutions exist, although this is noted as more advanced material.
  • Further discussion includes a participant expressing confusion regarding the terminology related to determinants and their role in determining the presence of \( w \) in the span.
  • Another participant elaborates on the relationship between the invertibility of a matrix and its determinant, explaining that a non-zero determinant indicates a unique solution exists for the system of equations.

Areas of Agreement / Disagreement

Participants generally agree on the method of expressing \( w \) as a linear combination of the three vectors and the relevance of solving the corresponding system of equations. However, there is some confusion regarding the application of determinants and the terminology used, indicating that the discussion remains partially unresolved.

Contextual Notes

Some participants express uncertainty about the terminology and concepts related to determinants and their implications for the systems of equations, suggesting that further clarification may be needed. The discussion also touches on more advanced material that may not yet be covered in the participants' course.

DmytriE
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If you are given three vectors (v1, v2, v3) that each have 3 components (i.e. x, y, z) how do you go about figuring out if vector w is in the subspace that is spanned by v1, v2, v3?

I know that span is the sum of scalar multiples of vectors for example:
αv1 + βv2 + γv3

I am brand new to linear algebra and our professor decided to start in chapter 4 rather than from the beginning.

Thanks for your help!
 
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There is nothing else you can do then actually finding the a,b and c such that

[tex]w=av_1+bv_2+cv_3[/tex]

For example, (1,2,4) is in the span of (1,1,1),(0,1,1) and (0,0,1) because

[itex](1,2,3)=(1,1,1)+(0,1,1)+2(0,0,1)[/itex].

So take a=b=1 and c=2.

The hard problem is actually finding the a,b and c. There are a couple of trick to do that.

For example, let's say you have (4,1,6) and you want to see if it is in the span of (2,6,1), (4,1,2) and (6,6,4). So you need to find a,b and c such that

[tex](4,1,6)=a(2,6,1)+b(4,1,2)+c(6,6,4)=(2a+4b+6c,6a+b+6c,a+2b+4c)[/tex]

This means you have to solve the following system of equations:

[tex]\left\{<br /> \begin{array}{l}<br /> 2a+4b+6c=4\\<br /> 6a+b+6c=1\\<br /> a+2b+4c=4<br /> \end{array}<br /> \right.[/tex]

If this system has a solution (a,b,c) and these are the a,b and c you are looking for. If the system has no solution, then (4,1,6) is not in the span of the three vectors.
 
Thank you! :-) That is exactly what I was looking for. I didn't want to post the homework question mainly because I wanted to understand the concept and then apply it.
 
DmytriE said:
Thank you! :-) That is exactly what I was looking for. I didn't want to post the homework question mainly because I wanted to understand the concept and then apply it.

Perhaps it's a good idea to make some exercises on the concept. Make up your own vectors and see if you can do it.

Just an idea. You do what you want! :-p
 
There is actually a trick that can give a simple formula to know if there is a solution or not.
This is based on observing that the equation set micromass showed near the end of her post is very similar for different vectors: only the numbers on the right side of the equals sign change.

The numbers on the left hand side are usually called "the transition matrix of v1,v2,v3". That is, all 9 of them together as a block. Now the determinant of this matrix can tell you if there are solutions are not. This is more advanced material, and will probably be covered later in your course.
 
Amir Livne said:
This is more advanced material, and will probably be covered later in your course.

I am intrigued. I looked at the wikipedia page that you linked to but am confused by the terminology that they used. When taking the determinant of matrix A what value will represent whether the vector in question is part of the span?
 
DmytriE said:
I am intrigued. I looked at the wikipedia page that you linked to but am confused by the terminology that they used. When taking the determinant of matrix A what value will represent whether the vector in question is part of the span?

In general, given a system (I'll do a 3x3 system, but it can be any nxn system):

[tex]\left\{\begin{array}{l} ax+by+cz=d\\ ex+fy+gz=h\\ ix+jy+kz=l \end{array}\right.[/tex]

This system can be written in following form

[tex]\left(\begin{array}{ccc} a & b & c\\ e & f & g\\ i & j & k \end{array}\right)\left( \begin{array}{c} x\\ y\\ z\end{array}\right) = \left(\begin{array}{c}d\\ h\\ l\end{array}\right)[/tex]

which I will write as [itex]A\mathbf{x}=\mathbf{b}[/itex]. If the matrix A is invertible, then this has a unique solution [itex]\mathbf{x}=A^{-1}\mathbf{b}[/itex]. (of course we need A to be invertible in order for [itex]A^{-1}[/itex] to exists).

However, a matrix is invertible if and only if its determinant is nonzero.

So we have now shown that the system above has a solution if its determinant is nonzero.
If [itex]\mathbf{b}=0[/itex] (so if d=h=l=0) then the converse also hold: the system has a solution if and only if the determinant is nonzero.
 

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