Find a basis of the subspace W:=A

In summary, to determine a basis for the subspace W, we need to find a set of elements that can express any 2x2 matrix as a linear combination. Since trace(A)=0, we can write this condition in terms of the four matrix elements and use simple examples to construct a basis.
  • #1
ak123456
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Homework Statement


find a basis of the subspace W:=A[tex]\in[/tex] M2*2(R) : trace (A)=0 of the vector space M2*2 (R) and hence determine the dimension of W

Homework Equations





The Attempt at a Solution


trace(A) denote the the sum of the diagonal elements of the matrix A=aij
do i need to choose some vectors to form a basis ,hence to determine the dimension ?
 
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  • #2


Well, the elements of M2x2(R) are 2x2 matrices. Recall that a basis of a vector space is a set of elements e1, ..., en such that any element can be expressed as a linear combination of the ei.

A general 2x2 matrix looks like
[tex]A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}[/tex]
so a basis would be, for example,
[tex]e_{11} = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix},
e_{12} = \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix},
e_{21} = \begin{pmatrix} 0 & 0 \\ 1 & 0 \end{pmatrix},
e_{22} = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}
[/tex].

(Aside question for you: how do you express A as a linear combination of these four elements?)
 
  • #3


I suggest you write the condition trace(A)=0 in terms of the four matrix elements. Then try to find the simplest examples of matrices which satisfy trace(A)=0 (matrices with only one or two nonzero elements), then try to construct a basis.
 

FAQ: Find a basis of the subspace W:=A

What is a basis of a subspace?

A basis of a subspace is a set of linearly independent vectors that span the entire subspace. In other words, any vector in the subspace can be written as a linear combination of the basis vectors.

How do you find a basis of a subspace?

To find a basis of a subspace, you need to first determine the dimension of the subspace. Then, choose linearly independent vectors from the subspace until you have enough to form a basis. This can be done by solving a system of equations or using other methods such as Gaussian elimination.

What is the importance of finding a basis of a subspace?

Finding a basis of a subspace is important because it allows us to represent any vector in the subspace in a unique and concise way. It also helps us understand the structure and properties of the subspace.

Can a subspace have more than one basis?

Yes, a subspace can have more than one basis. In fact, any set of linearly independent vectors that span the subspace can be considered a basis. However, all bases for a given subspace will have the same number of vectors, known as the dimension of the subspace.

How does finding a basis of a subspace relate to linear independence?

A basis of a subspace is a set of linearly independent vectors that span the subspace. This means that the vectors in the basis are not redundant and are necessary to represent any vector in the subspace. Therefore, finding a basis of a subspace is closely related to determining the linear independence of a set of vectors.

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