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    A basis of idempotent matrices for the $2 \times 2$ space

    E-HK-23-8

    Area
    Algebra
    Topics
    Bases, Linear Algebra
    Status
    draft

    Again let \(V\) be the space of \(2 \times 2\) matrices over \(F\). Find a basis \(\{A_1, A_2, A_3, A_4\}\) for \(V\) such that \(A_j^2 = A_j\) for each \(j\).

    Solution

    1. Define four candidate matrices in \(M_2(F)\):\[ A_1 = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}, \quad A_2 = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}, \quad A_3 = \begin{pmatrix} 1 & 1 \\ 0 & 0 \end{pmatrix}, \quad A_4 = \begin{pmatrix} 1 & 0 \\ 1 & 0 \end{pmatrix}. \]

    explicit definitions.

    2. Verify that each matrix is idempotent (\(A_j^2 = A_j\)):

    2.1. \(A_1^2 = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix} = A_1\).

    matrix multiplication.

    2.2. \(A_2^2 = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix} \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix} = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix} = A_2\).

    matrix multiplication.

    2.3. \(A_3^2 = \begin{pmatrix} 1 & 1 \\ 0 & 0 \end{pmatrix} \begin{pmatrix} 1 & 1 \\ 0 & 0 \end{pmatrix} = \begin{pmatrix} 1 & 1 \\ 0 & 0 \end{pmatrix} = A_3\).

    matrix multiplication.

    2.4. \(A_4^2 = \begin{pmatrix} 1 & 0 \\ 1 & 0 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 1 & 0 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 1 & 0 \end{pmatrix} = A_4\).

    matrix multiplication.

    3. Prove linear independence of \(\{A_1, A_2, A_3, A_4\}\):

    3.1. Suppose \(c_1 A_1 + c_2 A_2 + c_3 A_3 + c_4 A_4 = 0\) for scalars \(c_1, c_2, c_3, c_4 \in F\).

    setup.

    3.2. Writing this linear combination as a single matrix yields:\[ \begin{pmatrix} c_1 + c_3 + c_4 & c_3 \\ c_4 & c_2 \end{pmatrix} = \begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}. \]

    entrywise matrix addition and scalar multiplication.

    3.3. Equating corresponding entries:- Entry \((1, 2) \implies c_3 = 0\).- Entry \((2, 1) \implies c_4 = 0\).- Entry \((2, 2) \implies c_2 = 0\).- Entry \((1, 1) \implies c_1 + c_3 + c_4 = 0 \implies c_1 = 0\).

    linear system of equations.

    3.4. Since \(c_1 = c_2 = c_3 = c_4 = 0\), \(\{A_1, A_2, A_3, A_4\}\) is linearly independent.

    definition of linear independence.

    4. Conclusion:Since \(\dim(M_2(F)) = 4\), any linearly independent set of 4 matrices forms a basis.Thus \(\{A_1, A_2, A_3, A_4\}\) is a basis of idempotent matrices for \(M_2(F)\). Q.E.D.

    2 and 3.