Find Basis for Span: \vec{a_{1}} to \vec{a_{4}}

In summary, to find a basis for the span of four given vectors, a1, a2, a3, and a4, create a matrix with each vector as a separate row and put it in row reduced echelon form. The nonzero rows of the reduced matrix will give you the basis vectors. In this case, the basis vectors are e1, e2, e3, and e4. If the column vectors do not span the entire space, you can use the columns with pivots in the reduced form to form a basis for the column space.
  • #1
ferry2
15
0
I don't wan't a solution I wan't only instructions how to solve this problem:

Find a basis for the span: [tex]\vec{a_{1}}=(1,\,-1,\,6,\,0),\,\vec{a_{2}}=(3,\,-2,\,1,\,4),\,\vec{a_{3}}=(1,\,-2,\,1,\,-2),\,\vec{a_{4}}=(10,\,1,\,7,\,3)[/tex]
 
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  • #2
Make a matrix with a1, a2, a3, and a4 in separate rows, with each component of each vector in a separate column. Put it in row reduced echelon form. The nonzero rows of your new matrix are the vectors that form the basis.
 
Last edited:
  • #3
So under your guidance the row reduced eshelon form of the matrix:

[tex]A=\left( \begin{array}{cccc}1 &-1 & 6 & 0\\ 3 &-2 & 1 & 4\\ 1 &-2 & 1 &-2\\ 10 & 1 & 7 & 3\\ \end{array} \right)[/tex] is [tex]\left( \begin{array}{cccc}1 & 0 & 0 & 0\\ 0 & 1 & 0 & 0\\ 0 & 0 & 1 & 0\\ 0 & 0 & 0 & 1\\ \end{array} \right)[/tex] so the basis are vectors [tex]\vec{e_1}(1,\,0,\,0,\,0),\,\vec{e_2}(0,\,1,\,0,\,0),\,\vec{e_3}(0,\,0,\,1,\,0)[/tex] and [tex]\vec{e_4}(0,\,0,\,0,\,1)[/tex] right?
 
  • #4
yeah that's what I got
 
  • #5
Thanks a lot for the tips :).
 
  • #6
Which says that the span of those four vectors is, in fact, all of [itex]R^4[/itex].
 
  • #7
Because the span of those vectors is all of R^4, both the 4 standard R^4 basis vectors and the column vectors of your matrix form a basis. What's more interesting is the case when the column vectors do not span the entire space. Then you take the column vectors from your matrix that correspond to the columns with pivots in reduced form, and those form a basis for the column space.
 

What is the definition of "basis" in linear algebra?

In linear algebra, a basis is a set of linearly independent vectors that span a vector space. This means that any vector in the vector space can be written as a unique linear combination of the basis vectors.

How do you find the basis for a given set of vectors?

To find the basis for a set of vectors, you need to determine which vectors are linearly independent. This can be done by setting up a matrix with the given vectors as columns and performing row reduction to determine if there are any non-trivial solutions to the equation Ax=0. The linearly independent vectors will form the basis for the given vector space.

What is the purpose of finding the basis for a vector space?

Finding the basis for a vector space is important because it allows us to understand the structure of the vector space and determine what operations can be performed on its elements. It also helps in solving systems of linear equations and understanding the relationships between different vectors in the space.

Can a set of vectors have more than one basis?

Yes, a vector space can have multiple bases. However, all bases for a given vector space will have the same number of vectors, known as the dimension of the vector space.

How is the basis for a vector space related to the span of a set of vectors?

The basis for a vector space is a subset of the set of vectors that span the vector space. This means that the basis vectors can be used to create any vector in the vector space, and any vector in the vector space can be written as a linear combination of the basis vectors.

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