What is the solution to finding spanned subspaces?

  • Thread starter Telemachus
  • Start date
  • Tags
    Subspaces
So, the solution is(-10c,0,-32c-4b)=c(-10,0,-32)-b(4,0,-4)?In summary, the solution for the subspace generated by the given subsets in R^3 is the set of all vectors in the form (x, y, z)= c(-10, 0, -32)+ b(4, 0, -4), where c and b are constants. This is because the given subsets are dependent, meaning that one vector can be written as a linear combination of the others. As a result, the subspace is reduced to two dimensions, with the y-coordinate always equal to 0 and the x and z coordinates being
  • #1
Telemachus
835
30
Hi, I'm trying to solve this exercise.

Homework Statement


Given the following subsets of [tex]\mathbb(R)^3[/tex] find the subspaces generated by them:
[tex]\{(1,0,-2),(-1,0,2),(3,0,-1),(-1,0,3)\}[/tex]

The Attempt at a Solution


I've tried to solve the linear dependence, so I've made the system:
[tex]\begin{Bmatrix} a-b+3c-d=0 \\-2a+2b-c+3d=0 \end{matrix}[/tex]

And I got: [tex]\begin{Bmatrix} a-b+8c=0 \\5c+4d=0 \end{matrix}[/tex]

[tex]a=b-8c[/tex] and [tex]d=-5c[/tex]

[tex](b-8c,b,c,-5c)[/tex]

I don't know what to do next. I know that there is a linear dependence, but I don't know how to work with it, and what to do with the result I've found. Does it mean that the solution is a plane because there are only two free variables in [tex](b-8c,b,c,-5c)[/tex]? and how do I get the solution from here.

Bye there, and thanks of course.
 
Last edited:
Physics news on Phys.org
  • #2
Telemachus said:
Hi, I'm trying to solve this exercise.

Homework Statement


Given the following subsets of [\ mathbb (R) ^ 3] find the subspaces generated by them:
[tex]\{(1,0,-2),(-1,0,2),(3,0,-1),(-1,0,3)\}[/tex]

The Attempt at a Solution


I've tried to solve the linear dependence, so I've made the system:
[tex]\begin{Bmatrix} a-b+3c-d=0 \\-2a+2b-c+3d=0 \end{matrix}[/tex]

And I got: [tex]\begin{Bmatrix} a-b+3c-d=0 \\-2a+2b-c+3d=0 \end{matrix}[/tex] and [tex]d=-5c[/tex]
Where did the d = -5c come from? How did you go from two equations to the same two equations plus one more?
Telemachus said:
[tex](b-8c,b,c,-5c)[/tex]

I don't know what to do next. I know that there is a linear dependence, but I don't know how to work with it, and what to do with the result I've found. Does it mean that the solution is a plane because there are only two free variables in [tex](b-8c,b,c,-5c)[/tex]? and how do I get the solution from here.

Bye there, and thanks of course.
 
  • #3
Lets see:

[tex]\begin{bmatrix}{1}&{-1}&{3}&{-1}\\{-2}&{2}&{-1}&{3}\end{bmatrix}[/tex]
Twice the first row plus the second on the second:
[tex]\begin{bmatrix}{1}&{-1}&{3}&{-1}\\{0}&{0}&{5}&{1}\end{bmatrix}[/tex]

[tex]\begin{bmatrix}{1}&{-1}&{8}&{0}\\{0}&{0}&{5}&{1}\end{bmatrix}[/tex]

Thats what I did.

Srry, there was something wrong in my first post. I've just corrected it.
 
  • #4
Telemachus said:
Lets see:

[tex]\begin{bmatrix}{1}&{-1}&{3}&{-1}\\{-2}&{2}&{-1}&{3}\end{bmatrix}[/tex]
Twice the first row plus the second on the second:
[tex]\begin{bmatrix}{1}&{-1}&{3}&{-1}\\{0}&{0}&{5}&{1}\end{bmatrix}[/tex]
The matrix above is fine.
Telemachus said:
[tex]\begin{bmatrix}{1}&{-1}&{8}&{0}\\{0}&{0}&{5}&{1}\end{bmatrix}[/tex]
This didn't do you any good. You want to use leading entries in a row to eliminate nonleading entries in the rows above and below. Multiply the 2nd row to get 0 0 1 1/5, and use the leading entry in the second row to eliminate the 3 in the row above it. That will give you a completely reduced, row-echelon matrix.
Telemachus said:
Thats what I did.

Srry, there was something wrong in my first post. I've just corrected it.

The last step you did wasn't technically wrong - it just wasn't a big help.

Since the set of vectors you started with had four vectors in R3, there are obviously too many to form a basis for R3. By inspection you can see that the second vector is a multiple of the first.

It's not so easy to see (the work you are doing shows it), but the 4th vector is a linear combination of the first three. This means that the subspace spanned by the four vectors is the same as that spanned by the first and third.
 
  • #5
Thank you very much Mark.

So, what I got is:

[tex]\begin{bmatrix}{1}&{-1}&{0}&{-8/5}\\{0}&{0}&{1}&{1/5}\end{bmatrix}[/tex]

How should I use this?
 
Last edited:
  • #6
I prefer your original form:
[tex]\a(1,0,-2)+ b(-1,0,2)+ c(3,0,-1)+ d(-1,0,3)[/tex]
Although I would NOT use that to "solve the independence" (you KNOW they are not independent because there are 4 vectors in [itex]R^3[/itex]).

Any vector in that subspace can be written
[tex](x, y, z)= a(1,0,-2)+ b(-1,0,2)+ c(3,0,-1)+ d(-1,0,3)[/tex]
or
[tex](x, y, z)= (a- b+ 3c- d, 0, -2a- 2b- c+ 3d)[/tex]

One obvious result is that y= 0. Now, what further relationships can you find between x and z?
 
Last edited by a moderator:
  • #7
Well, [tex]x=a-b+3c-d[/tex] and [tex]z=-2a-2b-c+3d[/tex]

And as I said [tex]a=b-8c[/tex] and [tex]d=-5c[/tex], so...

[tex]x=b-8c-b+3c-5c=-10c[/tex] and [tex]z=-2(b-8c)-2b-c+3(-5c)=-2b-16c-2b-c-15c=-32c-4b[/tex]
 

FAQ: What is the solution to finding spanned subspaces?

What is a spanned subspace?

A spanned subspace, also known as a linear span, is a set of vectors that can be combined using scalar multiplication and vector addition to create any vector within a given vector space.

Why is finding spanned subspaces important?

Finding spanned subspaces is important because it allows us to identify the range or set of all possible outputs of a linear transformation. This is useful for solving systems of linear equations and understanding the behavior of linear systems.

How do you find a spanned subspace?

To find a spanned subspace, you can start by choosing a set of vectors that span the space. Then, you can use Gaussian elimination or other methods to determine if the chosen vectors are linearly independent. If they are not, you can add or remove vectors until you have a set of linearly independent vectors that still span the space.

Can a spanned subspace have infinite dimensions?

Yes, a spanned subspace can have infinite dimensions. This occurs when the vectors used to span the space are linearly independent and the spanned subspace is a subset of an infinite-dimensional vector space.

How is finding spanned subspaces related to eigenvectors and eigenvalues?

Finding spanned subspaces is related to eigenvectors and eigenvalues because the eigenvectors of a linear transformation can be used to span its range. Additionally, the eigenvalues of a linear transformation can help determine the dimension of its spanned subspace.

Similar threads

Replies
10
Views
7K
Replies
10
Views
2K
Replies
12
Views
2K
Replies
2
Views
921
Replies
2
Views
2K
Replies
3
Views
2K
Replies
2
Views
1K
Replies
4
Views
1K
Replies
4
Views
2K
Back
Top