Linear Algebra - Finding a Basis

In summary, To find a basis in a given vector space, you need to find a set of linearly independent vectors that span the space. This means that any element in the space can be expressed as a linear combination of these vectors. For example, a basis for the space of all 2x2 matrices would be a set of four matrices, each with one element equal to 1 and the rest equal to 0, as this allows for any matrix in the space to be written as a linear combination of these basis matrices.
  • #1
CornMuffin
55
5

Homework Statement


I am having trouble finding a basis in a given vector space.

I understand how to find a basis of Rn, just find linearly independent vectors that span Rn

But how would i find a basis of the set of 3x3 symmetric real matrices?
Or Find a basis of real polynomials of degree less than or equal to 3?

If i understand more about a basis, then I might be able to do this.

Homework Equations



A set of vectors B in a vector space S is a basis of S iff B is a linearly independent spanning set of S.

The Attempt at a Solution

 
Physics news on Phys.org
  • #2
CornMuffin said:
A set of vectors B in a vector space S is a basis of S iff B is a linearly independent spanning set of S.

... which is just fancy talk for (basically): if you take any element of S, you can express it as a linear combination of the elements of B.

For example, a basis for the space of all 2 x 2 matrices would be
[tex]\left\{
B_1 = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix},
B_2 = \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix},
B_3 = \begin{pmatrix} 0 & 0 \\ 1 & 0 \end{pmatrix},
B_4 = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}
\right\}
[/tex]
because you can write any matrix
[tex]A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}[/tex]
as a linear combination, namely:
[tex]A = a B_1 + b B_2 + c B_3 + d B_4[/tex]
 
Last edited:
  • #3
thank you, that helps
 

1. What is a basis in linear algebra?

A basis in linear algebra 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 linear combination of the basis vectors.

2. How do you find a basis for a vector space?

To find a basis for a vector space, you need to find a set of linearly independent vectors that span the vector space. This can be done by using the Gaussian elimination method to put the vectors in the vector space into a matrix and then finding the pivot columns. The vectors corresponding to the pivot columns will form a basis for the vector space.

3. Can a vector space have more than one basis?

Yes, a vector space can have more than one basis. This is because there can be different sets of linearly independent vectors that span the same vector space.

4. What is the difference between a spanning set and a basis?

A spanning set is a set of vectors that can be used to represent all vectors in a vector space, while a basis is a specific type of spanning set that is also linearly independent. This means that a basis is the smallest possible spanning set for a vector space.

5. How do you determine the dimension of a vector space?

The dimension of a vector space is equal to the number of vectors in a basis for that vector space. This means that to determine the dimension of a vector space, you need to find a basis for that vector space and count the number of vectors in the basis.

Similar threads

  • Calculus and Beyond Homework Help
Replies
14
Views
592
  • Calculus and Beyond Homework Help
Replies
0
Views
449
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
15
Views
2K
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
10
Views
2K
  • Calculus and Beyond Homework Help
Replies
34
Views
2K
  • Calculus and Beyond Homework Help
Replies
15
Views
949
  • Calculus and Beyond Homework Help
Replies
10
Views
1K
  • Calculus and Beyond Homework Help
Replies
18
Views
1K
Back
Top