Finding the basis for a vector space

In summary, the set of 2x2 matrices A such that CA=0, where C is the matrix [1 2; 3 6], can be found by solving the equations a+2c=0 and b+2d=0, which will result in a matrix A with two variables. This set is linearly independent and spans the original set.
  • #1
aanandpatel
16
0

Homework Statement



Find a basis for the following vector space:

The set of 2x2 matrices A such that CA=0 where C is the matrix : 1 2
3 6

The Attempt at a Solution



I multiplied C by a general 2x2 matrix : a b and got 4 equations but two of these equations are the
c dsame and it seems as I am going around in circles. I know I need to find a set that is linearly independent and spans the original set but I'm not sure how to proceed.

Help would be greatly appreciated :)

Cheers
 
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  • #2
That sounds exactly like what you want. Clearly not any 2 x 2 matrix will do, and indeed the two equations you have will fix two relations between a, b, c and d. But since there is not a single unique solution, you should also have at least one parameter which you can vary.

Talking with a practical example is probably clearer, so can you show us which equations you got?

Have a matrix by the way (quote my post to see the code): ##\begin{pmatrix} a & b \\ c & d \end{pmatrix}##
 
  • #3
sorry had no idea how to matrices on the forum

C = ##\begin{pmatrix} 1 & 2 \\ 3 & 6 \end{pmatrix}##

A(my general matrix) = ##\begin{pmatrix} a & b \\ c & d \end{pmatrix}##

CA=0 so when I multiplied, I got

a+2c=0
b+2d=0
3a+6c=0
3b+6d=0

But two of those equations are the same and I don't know what to do after that.
 
  • #4
Right, so if you get all the information you can from those equations, you can write your matrix A in terms of two variables only - for example, just a and b.

What does A look like then?
 
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  • #5
Makes sense now - got it!

Thanks a lot - help was much appreciated :)
 

FAQ: Finding the basis for a vector space

What is a basis for a vector space?

A basis for a vector space is a set of vectors that can be used to express all other vectors in that space through linear combinations. It is the minimal set of vectors needed to span the entire vector space.

How do you find the basis for a vector space?

To find the basis for a vector space, you can use the process of elimination by starting with a set of vectors and checking if they span the entire space. If they do not, you can add more vectors until the resulting set spans the entire space. This set of vectors is then the basis for the vector space.

Can a vector space have more than one basis?

Yes, a vector space can have multiple bases. This is because a basis is not unique and there can be different sets of vectors that can be used to express all other vectors in the space. However, all bases for a vector space will have the same number of vectors, known as the dimension of the vector space.

How many vectors are needed to form a basis for a vector space?

The number of vectors needed to form a basis for a vector space is equal to the dimension of the vector space. For example, a three-dimensional vector space will require three linearly independent vectors to form a basis.

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

Finding the basis for a vector space is important because it allows us to have a clear understanding of the structure of the vector space. It also makes it easier to perform calculations and solve problems involving vectors in that space. Additionally, the basis provides a foundation for more advanced concepts in linear algebra.

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