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Square Matrices
Definition 1 An \(I\times I\) matrix is called a square matrix. Their collection is denoted by \(\Mat_I(A)\).
In particular, when \(I\) is a finite set and \(A\) is commutative, \(\Mat_{n}(A)\) has special properties: this object is not only an \(A\)-module but also carries a multiplication defined on it. In other words, \(\Mat_{n}(A)\) is an \(A\)-algebra.
Proposition 2 In this situation, \(\Mat_n(A)\) is a unital associative algebra.
Proof
That \(\Mat_n(A)\) is an associative \(A\)-algebra follows immediately from §Matrices, §§Matrix Multiplication. One can verify that the identity element for multiplication in \(\Mat_n(A)\) is the following identity matrix
\[I_n=\begin{pmatrix}1&0&\cdots&0\\0&1&\cdots&0\\\vdots&\vdots&\ddots&\vdots\\0&0&\cdots&1\end{pmatrix}\]\(M_n(A)\) has the canonical basis \((E_{ij})\), and considering the structure constants for these yields the formula
\[E_{ij}E_{jk}=\delta_{jh}E_{ik}\]Definition 3 We denote by \(\GL_n(A)\) the collection of elements of \(\Mat_n(A)\) that have multiplicative inverses.
Fix a basis \(\mathcal{B}=(e_i)_{i\in I}\) of a free \(A\)-module \(M\), and let \(\lvert I\rvert=n\). Then for any \(u\in \End_{\lMod{A}}(M)\), we have \(\[u\]_{\mathcal{B}}^\mathcal{B}\in\Mat_n(A)\), and if \(u\) is an isomorphism then by §Matrices and Linear Maps, ⁋Corollary 4 we have \(\[u\]_{\mathcal{B}}^\mathcal{B}\in\GL_n(A)\). Then by §Dual Spaces, ⁋Proposition 5 and §Matrices and Linear Maps, ⁋Proposition 5, the formula
\[\bigl([u^{-1}]_{\mathcal{B}}^\mathcal{B}\bigr)^t=\bigl(\bigl[u^\ast\bigr]_{\mathcal{B}^\ast}^{\mathcal{B}^\ast}\bigr)^{-1}\]holds.
Change of Basis
Proposition 4 Let \(M\) be an arbitrary \(A\)-module, and let \(\mathcal{B}=(e_i)_{i\in I}\) be a finite basis of \(M\). Then the condition that the formula
\[e_i'=\sum_{j=1}^n a_{ji}e_i,\qquad 1\leq i\leq n\]gives a basis of \(M\) is equivalent to the square matrix \((a_{ji})\) having an inverse.
Proof
The given matrix \((a_{ji})\) is simply the matrix representation \(\[u\]_{\mathcal{B}}^\mathcal{B}\in\Mat_n(A)\) of the linear map \(u\in\End_{\lMod{A}}(M)\) defined by
\[u:e_i\mapsto e_i'=\sum_{j=1}^n a_{ji}e_i\]Now this matrix having an inverse is equivalent to \(u\) being an isomorphism, which in turn is equivalent to \((u(e_i))_{i\in I}\) being a basis of \(M\).
Conversely, we may also regard the matrix \((a_{ji})\) as the matrix representation of the identity map \(\id_M:M \rightarrow M\) with respect to different bases. We write the basis \((e_i')\) as \(\mathcal{B}'\). Then since
\[\id_M(e_i')=\sum_{j=1}^n a_{ji}e_i\]we have
\[([\id_M]^{\mathcal{B}'}_\mathcal{B})=(\langle \id_M(e_i'), e_j^\ast\rangle)_{(j,i)\in J\times I}=(a_{ji})_{(j,i)\in J\times I}\]From this perspective, this matrix is also called the change-of-basis matrix from \(\mathcal{B}'\) to \(\mathcal{B}\).
More generally, the following holds.
Proposition 5 Let \(M\) and \(N\) be two \(A\)-modules, and let \(\mathcal{B}=(e_i)_{i\in I}\) and \(\mathcal{C}=(f_j)_{j\in J}\) be finite bases of \(M\) and \(N\), respectively. Then for other bases \(\mathcal{B}'=(e_i')_{i\in I}\) of \(M\) and \(\mathcal{C}'=(f_j')_{j\in J}\) of \(N\), the formula
\[[u]_{\mathcal{C}'}^{\mathcal{B}'}=[\id_N]^\mathcal{C}_{\mathcal{C}'}[u]^\mathcal{B}_\mathcal{C}[\id_M]^{\mathcal{B}'}_{\mathcal{B}}\]holds.
Similar Matrices
Definition 6 Two \(m\times n\) matrices \(X, X'\) are called equivalent if there exist square matrices \(P\in\GL_m(A)\) and \(Q\in\GL_n(A)\) such that \(X'=PXQ\).
In the same context as the discussion preceding [Basic Linear Algebra] §Change of Basis, ⁋Definition 2, it is better to consider the following finer equivalence relation than that of equivalent matrices.
Definition 7 Two \(n\times n\) matrices \(X, X'\) are called similar if there exists a square matrix \(P\in\GL_n(A)\) such that \(X'=PXP^{-1}\).
Then setting \(M=N\), \(\mathcal{B}=\mathcal{C}\), and \(\mathcal{B}'=\mathcal{C}'\) in Proposition 5 above, we see that the matrix representations of an element \(u\) of \(\End_\rMod{A}(M)\) obtained through different bases are similar to each other.
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