Linear Algebra Span of Vectors

In summary, the first part of the conversation discusses creating a 3x3 matrix that is not in Echelon form and does not span R3. The second part discusses if a set of 3 vectors can span all of R4. It is possible if the vectors are linearly independent and cannot be written as a linear combination of each other. The dimension of R4 is 4, so the largest value the dimension of a subspace spanned by 3 vectors can have is 3.
  • #1
luvlybug1025
5
0

Homework Statement


a)Construct a 3x3 matrix, not in Echelon form, whose columns do NOT span R3. Prove.

b)Can a set of 3 vectors Span all of R4? Explain.

Homework Equations





The Attempt at a Solution


a)OK...I can make up plenty of matrices in Echelon form that fit, but how do I come up with one before it reaches Echelon form? Would it be like:
6 8 -4 3
2 5 1 -1
-2 -5 -1 1
because the last equation will "zero out"?

b)Someone told me this could happen, but I just don't see how. I thought every basis for R4 had to contain exactly 4 vectors?
 
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  • #2
For this question: "b)Can a set of 3 vectors Span all of R4? Explain."

Find a set that spans all of R4, such as {[1,0,0,0], [0,1,0,0], [0,0,1,0], [0,0,0,1]}

A spanning set is considered minimal (in the sense that if you remove any of the vectors you will change the span and also in the sense that it's the minimum amount of vectors allowed in the spanning set) if none of the vectors in the set can be written as a linear combination of the others in the set, or if the vectors are linearly independent.

This should help you.
 
  • #3
a) This isn't too difficult is it? Just find some random vector. Then multiply a constant to it, and you get another vector. Repeat. Now what is the dimension of the subspace spanned by these 3 vectors?

P.S. Your matrix is 4x4, not 3x3 as required.

b) What the largest value the dimension of a subspace spanned by 3 vectors can have? What is the dimension of R4?
 
  • #4
Suppose there were 3 vectors, e1, e2, e3, that span R4. As JG89 said, [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1] form the standard basis for R4 and so, in particular, are in R4. If e1, e2, and e3 span the R4, those four vector could be written in terms of them. Write out the equations and try to solve for the coefficients.
 

What is the span of vectors in linear algebra?

The span of vectors in linear algebra is the set of all possible linear combinations of those vectors. This means that any vector within the span can be written as a linear combination of the given vectors.

How do you determine if a vector is within the span of a set of vectors?

To determine if a vector is within the span of a set of vectors, you can use the method of elimination. This involves setting up a system of equations with the given vectors as the coefficients and the unknown vector as the constants. If the system has a solution, then the vector is within the span.

Why is the span of vectors important in linear algebra?

The span of vectors is important because it allows us to describe all possible combinations of a set of vectors. This is useful in many applications, including solving systems of equations, finding eigenvalues and eigenvectors, and understanding linear transformations.

Can the span of vectors be infinite?

Yes, the span of vectors can be infinite. This occurs when the vectors are linearly independent and form a basis for the vector space. In this case, any vector within the vector space can be written as a linear combination of the given vectors, resulting in an infinite span.

What does it mean for vectors to be linearly independent?

Vectors are considered linearly independent if none of them can be written as a linear combination of the others. This means that each vector in the set adds new information and cannot be replicated by a combination of the others. In other words, the span of linearly independent vectors is unique and cannot be expanded by adding more vectors.

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