Bourbaki

Remark

Tag 05WS, permanent. Cite it as [Bourbaki, Tag 05WS].

Algebra, chapter II, § 10. Matrices

It should be noted that a matrix for which the indexing sets of the rows and columns have the same cardinal but are not identical, must not be considered as a square matrix; in particular, the product of two such matrices over a ring is not defined.

Clearly addition and multiplication of square matrices over A with a finite set as indexing set of the rows and columns, define on the set of these matrices a ring structure because of formulae (7), (8) and (9) (no. 3); the matrix (δij)(\delta_{ij}), where δij\delta_{ij} is the Kronecker index (for i∈I,j∈Ii \in I, j \in I), is the unit element of this ring and is denoted by InI_n or lnl_n when I has nn elements. When I={1,n}I = \{1, n\}, the ring of matrices thus defined is denoted simply by Mn(A)\mathbf{M}_n(A); the group of invertible elements of Mn(A)\mathbf{M}_n(A) is denoted by GLn(A)\mathbf{GL}_n(A) or GL(n,A)\mathbf{GL}(n, A).

For a square matrix U=(aij)U = (a_{ij}) of order nn over A to be right (resp. left) invertible, it is necessary and sufficient that, for every system (bi)1≤i≤n(b_i)_{1 \leq i \leq n} of elements of A, the system of nn equations in nn unknowns

∑j=1naijxj=bi(1≤i≤n) \sum_{j=1}^n a_{ij} x_j = b_i \quad (1 \leq i \leq n)

(resp. ∑j=1nxjaji=bi\sum_{j=1}^n x_j a_{ji} = b_i)

have one solution (xi)(x_i) in A.

Let I be a finite indexing set, A a ring and E a right (resp. left) A-module with basis (ei)i∈I(e_i)_{i \in I}. For every endomorphism uu of E, the matrix M(u)M(u) of uu with respect to the two bases identical with (ei)(e_i) is a square matrix; more briefly, it is called the matrix of uu with respect to the basis (ei)(e_i).

Suppose that I={1,n}I = \{1, n\}. The mapping u↦M(u)u \mapsto M(u) (resp. u↦tM(u)u \mapsto {}^t M(u)) is an isomorphism of the ring EndA(E)\mathrm{End}_A(E) onto Mn(A)\mathbf{M}_n(A) (resp. onto the opposite ring of Mn(A)\mathbf{M}_n(A), as follows from formulae (18 D) (resp. 18 G)) (no. 4). The invertible elements of the ring Mn(A)\mathbf{M}_n(\mathbf{A}) called invertible matrices, correspond under the mapping u↦M(u)u \mapsto M(u) (resp. u↦tM(u)u \mapsto {}^t M(u)) to the automorphisms of E; the group GL(n,A)\mathbf{GL}(n, \mathbf{A}) is therefore canonically identified with the group GL(Adn)\mathbf{GL}(\mathbf{A}_d^n).

If uu is an automorphism of E, its contragredient uˇ\check{u} is an automorphism of the left (resp. right) A-module E∗E^*, such that uˇ=(tu)−1=t(u−1)\check{u} = ({}^t u)^{-1} = {}^t (u^{-1}) (§ 2, no. 5, Definition 6); if M(uˇ)M(\check{u}) is the matrix of uˇ\check{u} with respect to the dual basis (ei∗)(e_i^*), then, by virtue of Proposition 3 (no. 4),

M(uˇ)=(tM(u))−1=tM(u−1). M(\check{u}) = ({}^t M(u))^{-1} = {}^t M(u^{-1}).

For every invertible matrix XX, it therefore follows that t(X−1)=(tX)−1{}^t (X^{-1}) = ({}^t X)^{-1}; this matrix is also denoted by tX−1{}^t X^{-1} and called the contragredient of the matrix XX.

Let σ\sigma be an automorphism of the ring A\mathbf{A}; for every semi-linear mapping u:E→Eu : E \to E relative to σ\sigma, the matrix M(u)M(u) of this mapping with respect to a basis (ei)(e_i) of E is also a square matrix. It follows immediately from (27 D) (no. 6) that, if uu is bijective, then

M(u−1)=(σ−1(M(u)))−1. M(u^{-1}) = (\sigma^{-1}(M(u)))^{-1}.

Let E be an A-module which is the direct sum of a finite family (Ei)i∈I(E_i)_{i \in I} of submodules; for every endomorphism uu of E, the matrix M(u)=(uki)M(u) = (u_{ki}) of uu with respect to the two decompositions of E identical with (Ei)(E_i) (no. 5) is a square matrix of linear mappings. In order that u(Ei)⊂Eiu(E_i) \subset E_i for all i∈Ii \in I, it is necessary and sufficient that uki=0u_{ki} = 0 for k≠ik \neq i. When I={1,n}I = \{1, n\}, the relations

u(Ei)⊂Ei+Ei+1+⋯+En(1≤i≤n) u(E_i) \subset E_i + E_{i+1} + \cdots + E_n \qquad (1 \leq i \leq n)

are equivalent to the relations uki=0u_{ki} = 0 for k<ik < i.

Examples of square matrices. I. Diagonal matrices. In a square matrix

M=(mικ)(ι,κ)∈I×I, M = (m_{\iota \kappa})_{(\iota, \kappa) \in I \times I},

the elements both of whose indices are equal are called diagonal elements and the family (mιι)ι∈I(m_{\iota \iota})_{\iota \in I} is called the diagonal of MM; a square matrix M=(mικ)M = (m_{\iota \kappa}) over a ring, whose elements other than the diagonal elements are zero, is called a diagonal matrix. For every family (aι)ι∈I(a_\iota)_{\iota \in I} of elements of a ring A\mathbf{A}, the diagonal matrix (mικ)(m_{\iota \kappa}) such that mιι=aιm_{\iota \iota} = a_\iota for all ι∈I\iota \in I is denoted by diag⁡(aι)ι∈I\operatorname{diag}(a_\iota)_{\iota \in I} (or diag⁡(a1,a2,…,an)\operatorname{diag}(a_1, a_2, \ldots, a_n) when I={1,n}I = \{1, n\}). In the set Mn(A)\mathbf{M}_n(\mathbf{A}) of square matrices of order nn over A\mathbf{A}, the unit matrix InI_n is a diagonal matrix and also every multiple aIn=Inaa I_n = I_n a of this matrix by a scalar aa (the diagonal matrix (called scalar) all of whose diagonal elements are equal to aa).

For every family (di)1≤i≤n(d_i)_{1 \leq i \leq n} of elements of A\mathbf{A} and every matrix X=(xij)X = (x_{ij}) of type (n,q)(n, q) (resp. (p,n)(p, n)) over A\mathbf{A}, writing D=diag⁡(di)D = \operatorname{diag}(d_i),

{DX=(dixij)XD=(xijdj). \begin{cases} DX = (d_i x_{ij}) \\ XD = (x_{ij} d_j). \end{cases}

In particular, for two diagonal matrices of order nn,

diag(ai)+diag(bi)=diag(ai+bi) \text{diag}(a_i) + \text{diag}(b_i) = \text{diag}(a_i + b_i)
(31)
diag(ai)⋅diag(bi)=diag(aibi). \text{diag}(a_i) \cdot \text{diag}(b_i) = \text{diag}(a_i b_i).

The diagonal matrices therefore form a subring of Mn(A)\mathbf{M}_n(\mathbf{A}) isomorphic to the product ring An\mathbf{A}^n; the scalar matrices form a subring isomorphic to A\mathbf{A}.

II. Permutation matrices; monomial matrices. Let π\pi be any permutation of a finite set I\mathbf{I} and let (ei)i∈I(e_i)_{i \in \mathbf{I}} be the canonical basis of the A\mathbf{A}-module E=AdI\mathbf{E} = \mathbf{A}_d^\mathbf{I}; there exists one and only one endomorphism uπu_\pi of E\mathbf{E} such that, for all i∈Ii \in \mathbf{I}, uπ(ei)=eπ(i)u_\pi(e_i) = e_{\pi(i)} (§ 1, no. 11, Corollary 3 to Proposition 17). For all i∈Ii \in \mathbf{I}, the column of index ii in the matrix M(uπ)M(u_\pi) with respect to the basis (ei)(e_i) has all its elements zero except the one in the row of index π(i)\pi(i), which is equal to 1. By an abuse of language, M(uπ)M(u_\pi) is called the matrix of the permutation π\pi. It is immediate that for any two permutations σ,τ\sigma, \tau of I\mathbf{I}, uστ=uσ∘uτu_{\sigma \tau} = u_\sigma \circ u_\tau and that for the identity permutation ε\varepsilon, uεu_\varepsilon is the identity; the mapping π↦M(uπ)\pi \mapsto M(u_\pi) is therefore an isomorphism of the symmetric group SI\mathfrak{S}_\mathbf{I} onto the group of permutation matrices.

Each row and each column of a permutation matrix contains only a single element ≠0\neq 0. A finite square matrix RR over a non-zero ring A\mathbf{A}, with this property, is called a monomial matrix; let rir_i be the unique element ≠0\neq 0 in the column of RR of index ii and let π(i)\pi(i) be the index of the row where this element is; clearly π\pi is a permutation of the indexing set I\mathbf{I} and R=M(uπ)DR = M(u_\pi)D, where D=diag(ri)D = \text{diag}(r_i).

III. Triangular matrices. In the ring Mn(A)\mathbf{M}_n(\mathbf{A}) of square matrices of order nn over a ring A\mathbf{A}, any matrix (aij)(a_{ij}) such that aij=0a_{ij} = 0 for i>ji > j (resp. i<ji < j) is called an upper (resp. lower) triangular matrix; it is also said that such a matrix has only zeros below (resp. above) its diagonal. It is immediately established that the upper (resp. lower) triangular matrices form a subring SS (resp. TT) of Mn(A)\mathbf{M}_n(\mathbf{A}), S∩TS \cap T being obviously the ring of diagonal matrices.

The set S′S' (resp. T′T') of matrices in SS (resp. TT) whose diagonal elements are invertible is a multiplicative group of matrices called the upper (resp. lower) total triangular group, this follows immediately from § 1, no. 11, Remark 5. The set S1S_1 (resp. T1T_1) of matrices in SS (resp. TT) whose diagonal elements are all equal to 1 is a subgroup of the above group, called the upper (resp. lower) strict triangular group, and every matrix M∈S′M \in S' (resp. M∈T′M \in T') whose diagonal is (di)(d_i), may be written as M=DM1=M1′DM = DM_1 = M'_1D, where D=diag(di)D = \text{diag}(d_i) and M1M_1 and M1′M'_1 matrices belonging to S1S_1 (resp. T1T_1).

IV. Diagonal and triangular matrices of matrices. Let (Ik)1≤k≤p(I_k)_{1 \leq k \leq p} be a partition of the finite set I\mathbf{I}; every square matrix over a ring A\mathbf{A} with indexing set I\mathbf{I} can be written in the form of a square matrix of matrices corresponding to the same partition (Ik)(\mathbf{I}_k) of the indexing set of the rows and the indexing set of the columns (no. 5)

(32)(X11X12…X1pX21X22…X2p…………Xp1Xp2…Xpp) (32) \begin{pmatrix} X_{11} & X_{12} & \ldots & X_{1p} \\ X_{21} & X_{22} & \ldots & X_{2p} \\ \ldots & \ldots & \ldots & \ldots \\ X_{p1} & X_{p2} & \ldots & X_{pp} \end{pmatrix}

where each XkkX_{kk} is a square matrix with Ik\mathbf{I}_k as indexing set of the rows and columns.

With this notation, (32) will be called a diagonal (resp. upper triangular, resp. lower triangular) matrix of matrices if all the matrices XijX_{ij} such that i≠ji \neq j (resp. i>ji > j, resp. i<ji < j) are zero. The interpretation of endomorphisms uu whose matrix is a diagonal, resp. triangular, matrix of matrices has been seen earlier, by considering the corresponding matrix M(u)M(u) of linear mappings. The lower triangular (resp. upper triangular, diagonal) matrices of matrices for a given partition (Ik)(\mathbf{I}_k) of I form subrings of the ring of matrices AI×I\mathbf{A}^{I \times I}. In particular, the ring of diagonal matrices of matrices relative to the partition (Ik)(\mathbf{I}_k) is isomorphic to the product ∏k=1pEnd⁡A(Ek)\prod_{k=1}^p \operatorname{End}_\mathbf{A}(E_k).

Bourbaki puts the proof directly after the statement, so what is above is the statement and its proof together.

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Transcribed from the printed edition, 1998, Springer. Not translated.