Is This Set a Spanning Set for R3?

In summary, the answer to the question is that the set of equations a+d=x, a+2b=y, 2b+c+3d=z can be solved for any values of x, y, and z. So, the set of vectors {(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3)} is a spanning set for R4.
  • #1
negation
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Homework Statement



Is {(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3)} a spanning set for R3

The Attempt at a Solution

This is supposed to be easy but the answer sheet might be wrong.

The answer I have says it is and then proceed to say that (0;0;2) is linearly independent. But it isn't because (0;0;2) can be expressed as a linear combination of the other vectors!
 
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  • #2
Surely it doesn't say "(0; 0; 2) is linearly independent". For one thing that doesn't make sense. A single vector is not "dependent" or "independent". It must be dependent or independent of other vectors. You can also say that a set or vectors is "independent" (no vector is dependent on any of the others in the set) or "dependent" (at least one of the in the set is dependent on others).

In any case, you could answer the question directly from the definition: show that, for any numbers, x, y, and z, there are numbers a, b, c, and d, such that, a(1; 1; 0)+ b(0;0;2)+ c(0;0;1)+ d(1;2;3)= (a+ d; a+ 2; 2b+ c+ 3d)= (x, y, z). That is, show that the set of equations, a+ d= x, a+ 2b= y, 2b+ c+ 3d= z can be solved for any values of x, y, and z.

It is true in any vector space of dimension n, that a set of n independent vectors must span the space. So it is sufficient to find a subset of 3 independent vectors to show that these span the space.
For example, a(1;1;0)+ b(0;0;2)+ c(0;0;1)= (a; a+ b; c)= (0, 0 ,0) then we must have a= 0, a+ b= 0, and c= 0. Since b= 0, a+ b= a= 0. a= b= c= 0 is the only solution so that subset is independent so spans the space so the original set spans the space.
{(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3
{(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3
 
  • #3
HallsofIvy said:
Surely it doesn't say "(0; 0; 2) is linearly independent". For one thing that doesn't make sense. A single vector is not "dependent" or "independent". It must be dependent or independent of other vectors. You can also say that a set or vectors is "independent" (no vector is dependent on any of the others in the set) or "dependent" (at least one of the in the set is dependent on others).

In any case, you could answer the question directly from the definition: show that, for any numbers, x, y, and z, there are numbers a, b, c, and d, such that, a(1; 1; 0)+ b(0;0;2)+ c(0;0;1)+ d(1;2;3)= (a+ d; a+ 2; 2b+ c+ 3d)= (x, y, z). That is, show that the set of equations, a+ d= x, a+ 2b= y, 2b+ c+ 3d= z can be solved for any values of x, y, and z.

It is true in any vector space of dimension n, that a set of n independent vectors must span the space. So it is sufficient to find a subset of 3 independent vectors to show that these span the space.
For example, a(1;1;0)+ b(0;0;2)+ c(0;0;1)= (a; a+ b; c)= (0, 0 ,0) then we must have a= 0, a+ b= 0, and c= 0. Since b= 0, a+ b= a= 0. a= b= c= 0 is the only solution so that subset is independent so spans the space so the original set spans the space.
{(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3
{(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3

With respect to the question, the solution set has 1 free variable. Thus, the solution set has infinitely many solutions. And so, span {(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3)} is a spanning set for R4.

Keeping this in mind, I could have equally, instead of expressing [a;b;c;d] as a linear combination of the set of vectors, any vectors in R4 would have equally worked, wouldn't it?

I have also read that row reducing the set of vector
[1 1 1; 0 0 2; 0 0 1; 1 2 3] gives us the rank, which, if rank(matrix)= n for Rn then the solution set is trivial and so the system is linearly independent. But why?
 
  • #4
?? You gave the problem as "Is {(1; 1; 0);(0; 0; 2);(0; 0; 1);(1; 2; 3)} a spanning set for R3?"

That is a "yes" or "no" question. I have no idea what you mean by a "solution set" for a "yes" or "no" question.
 

Related to Is This Set a Spanning Set for R3?

1. What is a spanning set?

A spanning set is a set of vectors that can be combined in various ways to create any vector in a given vector space. In other words, any vector in the vector space can be written as a linear combination of the vectors in the spanning set.

2. Why is it important to understand spanning sets?

Understanding spanning sets is important in linear algebra and other areas of mathematics because it allows us to understand the structure and properties of vector spaces. It also helps us to solve problems involving linear combinations and transformations.

3. How do I know if a set of vectors is a spanning set?

A set of vectors is a spanning set if every vector in the vector space can be written as a linear combination of the vectors in the set. This means that there are no vectors in the vector space that cannot be created by combining the vectors in the set.

4. Can a spanning set contain redundant vectors?

Yes, a spanning set can contain redundant vectors. This means that some vectors in the set may be multiples of other vectors, but they are still necessary to create linear combinations of all vectors in the vector space. However, it is more efficient to have a spanning set without redundant vectors.

5. How do I find a spanning set for a given vector space?

To find a spanning set for a given vector space, you can use the Gaussian elimination method or the reduced row echelon form to reduce the vectors in the vector space to a set of linearly independent vectors. These linearly independent vectors will form a spanning set for the vector space.

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