Solving Spanning Sets in R^2: Need Help with Problem Tomorrow!

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In summary, the conversation discusses the concepts of spanning sets and linear independence in relation to a problem involving vectors in ##R^2##. The set of vectors in question is shown to be spanning, but not linearly independent. The method of setting one of the coefficients to zero is explained, and the importance of understanding linear equations is emphasized.
  • #1
jdawg
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Hi! Can someone please help me with this problem? I need to understand how to do it for my test tomorrow!

I know this a spanning set for R^2, but the way I saw this problem solved was kind of lazy and not very helpful.
S={(-1,4),(4,-1),(1,1)}
I tried testing to see if it had just the trivial solution, but I got stuck...
(0,0)=c1(-1`,4)+c2(4,-1)+c3(1,1)
When I put this into a matrix I couldn't get it to reduce.

Thanks!
 
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  • #2
jdawg said:
Hi! Can someone please help me with this problem? I need to understand how to do it for my test tomorrow!

I know this a spanning set for R^2, but the way I saw this problem solved was kind of lazy and not very helpful.
S={(-1,4),(4,-1),(1,1)}
I tried testing to see if it had just the trivial solution, but I got stuck...
(0,0)=c1(-1`,4)+c2(4,-1)+c3(1,1)
When I put this into a matrix I couldn't get it to reduce.

Thanks!

You are confusing 'spanning' with 'linearly independent'. That equation doesn't have only the trivial solution. It can't. Any three vectors in ##R^2## are linearly dependent. What you want to show is that any vector ##(x,y)## can be written as ##(x,y)=c_1 (-1,4)+ c_2 (4,-1)+c_3 (1,1)##. Write down the corresponding linear equations. The solution is far from unique, but anyone will do.
 
  • #3
I am a little confused about the relationship between linear independence and spanning sets! If you can write the vectors as a linear combination, are they spanning and linearly dependent? Also if you take the determinant and it is non zero, then it is a spanning set and linearly independent, correct? Or do I need to think of spanning sets and linear independence as completely separate things? Sorry my thoughts are so unorganized!

Would I only check for the trivial solution if I'm trying to figure out linear independence?
 
  • #4
jdawg said:
I am a little confused about the relationship between linear independence and spanning sets! If you can write the vectors as a linear combination, are they spanning and linearly dependent? Also if you take the determinant and it is non zero, then it is a spanning set and linearly independent, correct? Or do I need to think of spanning sets and linear independence as completely separate things? Sorry my thoughts are so unorganized!

Would I only check for the trivial solution if I'm trying to figure out linear independence?

Linear independence is the condition that the equation you wrote in the first post has only the trivial solution. Spanning is the condition I wrote in the second post. The concepts aren't totally separate if you know about dimension. But they are two different things. In your case the set of vectors is linearly dependent. But they do span. Just try and show that. If you have a square matrix, then you can check the determinant and the if it is nonzero then they span AND are linearly independent. You don't have a square matrix here.
 
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  • #5
Alright, so:

x=-c1+4c2+c3
y=4c1-c2+c3

The way I saw it worked the person just let c3=0 and then they just took the determinate of this:

-1 4
4 -1

And then they concluded that the determinate was nonzero and it was a spanning set.
Why is it ok to just let c3=0?

Is there a more proper way to work this problem?
 
  • #6
jdawg said:
Alright, so:

x=-c1+4c2+c3
y=4c1-c2+c3

The way I saw it worked the person just let c3=0 and then they just took the determinate of this:

-1 4
4 -1

And then they concluded that the determinate was nonzero and it was a spanning set.
Why is it ok to just let c3=0?

Is there a more proper way to work this problem?

Well, it could probably be explained better. The person explaining this to you probably saw that any two of those vectors are linearly independent. ##R^2## is two dimensional, so ANY two linearly independent vectors will span. That's easy to see because if two vectors are linearly dependent they are multiples of each other and in two dimensions you only need two independent vectors to make a spanning set. No pair of those vectors are linearly dependent. So you can throw anyone out. The person that worked this chose to throw the third vector out by setting ##c_3=0##. You could also set ##c_1=0## or ##c_2=0## and get the same result. It's really about having experience with solving linear equations.
 
  • #7
Oh ok, that makes sense! So what would you do if it was a situation where that method would not work?
 
  • #8
jdawg said:
Oh ok, that makes sense! So what would you do if it was a situation where that method would not work?

You go back the the linear equations you have to solve. You can use back substitution or if you want to use a matrix form use row reduction. You can use determinants once you have the same number of vectors as the dimension of the space. Otherwise, it's really about the underlying linear equations. You know how to solve them, right?
 
  • #9
Sort of! When I row reduced I got c1+7c3=0
c2+3c3=0I'm not sure what to do with that information.
 
  • #10
jdawg said:
Sort of! When I row reduced I got c1+7c3=0
c2+3c3=0I'm not sure what to do with that information.

If you are trying show they are linearly independent, then they obviously aren't right? There are solutions where all of the c's aren't equal to zero. I thought you wanted to show that the spanned. That's different set of equations.
 
  • #11
Ohh! Ok, I think I get it now. Thanks so much for all your help! :)
 

1. What is a spanning set in R^2?

A spanning set in R^2 is a set of vectors that can be combined in different ways to create any other vector in a two-dimensional space. These vectors must be linearly independent and must have at least two dimensions.

2. How do I know if a set of vectors is a spanning set in R^2?

To determine if a set of vectors is a spanning set in R^2, you can check if the vectors are linearly independent and if they have two dimensions. You can also use the method of elimination to see if the vectors can be combined to create any other vector in R^2.

3. What is the importance of solving spanning sets in R^2?

Solving spanning sets in R^2 is important in linear algebra as it allows us to understand and manipulate vectors in two-dimensional space. It also helps us to solve problems involving linear combinations and linear transformations.

4. What are some strategies for solving spanning sets in R^2?

Some strategies for solving spanning sets in R^2 include using the method of elimination, checking for linear independence, and using geometric interpretations to visualize the problem. It can also be helpful to start with a simple example and then generalize to more complex cases.

5. Can you provide an example of solving spanning sets in R^2?

Sure, let's say we have the vectors v1 = (1, 0) and v2 = (0, 1). To check if they form a spanning set in R^2, we can use the method of elimination. If we take any vector in R^2, say (2, 3), we can see that it can be written as a linear combination of v1 and v2, as 2v1 + 3v2 = (2, 3). Therefore, we can conclude that v1 and v2 form a spanning set in R^2.

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