Finding the Dimension and Basis of the Matrix Vector space

In summary, the set K of 2 × 2 real matrices of the form [a b, -b a] forms a field with the usual operations. M22(R) is a vector space over K, and its dimension over K is 4. A basis can be displayed as [1 0, 0 0], [0 1, 0 0], [0 0, 1 0], and [0 0, 0 1], and this can be proven by showing that any matrix in M22(R) can be written as a linear combination of these basis elements. It is not necessary for the basis elements to be real integers, as long as they are elements of the field
  • #1
nautolian
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Homework Statement


The set K of 2 × 2 real matrices of the form [a b, -b a] form a field with the usual operations.
It should be clear to you that M22(R) is a vector space over K. What is the dimension of M22(R) over K? Justify your answer by displaying a basis and proving that the set displayed is actually a basis.


Homework Equations





The Attempt at a Solution



I don't think there can be a basis over the field K, because no linear combination of the matrices [a b, -b a] with any M22 can form, say [1 0, 0 0]. Which would be in M22. Any help would be greatly appreciated. Thanks!
 
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  • #2
Could you do a combination say (0 a, 0 -b) (0 -b, 0 a), (a 0, b 0), (-b 0, a 0)? Could this form a basis? Or does it have to be real integers? thanks
 

1. What is a matrix vector space?

A matrix vector space is a set of matrices that can be added and multiplied to produce new matrices. It is a fundamental concept in linear algebra and is used in many areas of science and mathematics.

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

The dimension of a matrix vector space is equal to the number of linearly independent columns of the matrices in the space. This can be found by reducing the matrices to echelon form and counting the number of leading variables.

3. What is the basis of a matrix vector space?

The basis of a matrix vector space is a set of linearly independent matrices that span the entire space. This means that any matrix in the space can be expressed as a linear combination of the basis matrices.

4. Can a matrix vector space have more than one basis?

Yes, a matrix vector space can have multiple bases. This is because there can be different sets of linearly independent matrices that span the same space. However, all bases for a given space will have the same number of basis vectors.

5. What is the relationship between the dimension and the basis of a matrix vector space?

The dimension of a matrix vector space is equal to the number of basis vectors. This means that the number of basis vectors is the minimum number of linearly independent matrices needed to span the entire space.

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