1. Introduction
The modern theory of invariants of linear representations was formulated in the fundamental book [
1], which currently represents an essential chapter in the theory of group representations (cf. MSC2020: 20Cxx). Several interesting expositions and applications of this theory to algebraic and differential geometry can be seen, for example, in [
2,
3,
4].
For finite groups, the main results are well known. The ring of invariants of a finite group is known to be generated by a finite number of algebraically independent homogeneous polynomials (Hilbert’s finiteness theorem) if and only if such a group is a group of reflections (Shephard–Todd–Chevalley theorem), and in general, there is also a bound (Noether’s degree bound) for the number of generators of their invariant algebra. Furthermore, there are algorithms for computing fundamental invariants (see, e.g., ([
4] §2.5), [
5]).
In the case of matrix groups with positive dimension, the situation is much more complex. Actually, there are only three procedures to calculate a basis for the vector space of invariants of fixed degree (cf. ([
4] §4.5)): (1) the
-process, (2) solving equations arising from the Lie algebra action, and (3) generating invariants in symbolic representation. The second procedure reduces the problem to linear algebra and is especially well suited to computational methods (e.g., see ([
4] §2.5) [
5,
6]), since it linearizes the calculation of invariants to that of the "infinitesimal" invariants associated with the induced representation of the Lie algebra of the group. In fact, if
is a linear representation of a connected affine group defined over a ground field
, then
induces a Lie-algebra homomorphism
, and in the case
, the invariant functions are the first integrals of the vector space defined by the image of
.
Unfortunately, classical invariant theory is developed in the setting of complex vector spaces, which allows the passage from the group to its Lie algebra, and more importantly, from the Lie algebra to the group, via the exponential map. But in positive characteristic the exponential map does not exist, and therefore, the procedure (2) is invalidated. While the most outstanding difference between affine algebraic groups on
and those defined on a field of positive characteristic is undoubtedly the inexistence of exponential map for the latter ones, other important differences exist as well (see, for example, ([
7] III-5)).
A summary of contents of the article is as follows: First of all, in
Section 3, the class of Lie subalgebras
admitting a (vector-space) basis of square-zero matrices, is considered. For the sake of simplicity we call this class in the sequel, SQZ-LA class. Square-zero matrices have been dealt with in several settings and with different purposes; for example, see [
8,
9,
10,
11,
12,
13], among other papers and authors.
We will consider such matrices in connection with the aforementioned problem of linearizing the calculation of invariants of a representation of an affine algebraic group defined on a field of positive characteristic.
Next, the main result of the paper (Theorem 1) is presented, which states that if is a linear representation of a linear algebraic group G and its Lie algebra is in the SQZ-LA class, then every G-invariant function is a common first-integral of the system of derivations , , and the number of algebraically independent G-invariant functions in is upper-bounded by the difference , where r is the generic rank of the -module spanned by all the derivations . Several consequences of Theorem 1 are deduced and specific examples are explained in detail.
Having established the importance of the SQZ-LA class of Lie algebras,
Section 4 is devoted to study which ones of the usual Lie algebras belong to this class. Among them, the Lie algebras of the special linear group and of the symplectic group over an arbitrary field are proven to belong to the SQZ-LA class; see Propositions 1 and 3, respectively.
Special types of matrices have also connections with several applications. For example, it is noticeable that skew-symmetric matrices, a class dealt with in the present work can appear in modeling mechanical systems, a field with active research (e.g., see [
14,
15]). Nilpotent matrices (we deal in particular with square-zero matrices) appear customarily when modeling differential-algebraic control systems, usually known as descriptor linear systems (e.g., see [
16]).
Among other standing-out instances, we can also count the cases of special and symplectic groups—having many applications in mechanics, symplectic geometry and topology—for which the structure of their algebra of G-invariant functions under a linear representation is proven to be an -algebra of polynomials (see Corollary 1 below).
Some counterexamples are also included, and certain Lie algebras in characteristic 2 with geometric interest are proved to be in the SQZ-LA class as well.
The article closes with an exposition of the conclusions.
2. Terminology and Notation
If
is a field, then a subset
is said to be “algebraic” if there exist a finite set of polynomials
such that
If is an algebraic subset in , then the ring of algebraic functions on is denoted by , where denotes the ideal in of polynomials vanishing over .
If
is a prime ideal, the field of fractions of
is denoted by
. In general, notation for algebraic sets has been taken from [
17].
The algebra of matrices with entries in is denoted by , which is considered as a Lie algebra by means of the Lie bracket given by , , where on the right-hand side, the product denotes a matricial product.
Furthermore, denotes the group of invertible matrices with entries in endowed with the group structure defined by matrix multiplication, and is identified with its Lie algebra.
The algebraic ring of the group is the set of quotients , where is a polynomial, , and is the function , .
A set-theoretic subgroup is said to be a linear algebraic group if it is an algebraic subset in .
Notation and elementary properties of algebraic groups have been taken from Fogarty’s book [
7].
The Lie algebra
of a linear algebraic group
G is identified with the Lie algebra of left-invariant derivations (cf. [
7], 3.17); namely,
.
If , then the corresponding invariant derivation is given by .
3. A Class of Lie Algebras
Let us consider the following definition:
Definition 1. Let be a field. We define as square-zero Lie algebra class (in short, SQZ-LA class) the class of Lie subalgebras in admitting a basis (as a vector space over ) such that the square of any matrix in is zero.
Lemma 1. Let be a linear algebraic group with associated Lie algebra . If U is a square-zero matrix in the Lie subalgebra , then belongs to G, , where denotes the identity map.
Proof. If is a square-zero matrix, then is a linear algebraic group of dimension 1 with Lie algebra , and by virtue of the assumption, we have . Hence , so that , or equivalently . □
Definition 2. Let be a linear algebraic group and let . A function is said to be G-invariant if for all and all .
The importance of the SQZ-LA class lies in the following result:
Theorem 1. Let G be a linear algebraic group, let be a linear representation of G, and let be the homomorphism of Lie algebras induced by ρ. If and is in the SQZ-LA class, then every G-invariant function is a common first-integral of the system of derivations , . Hence, the number of algebraically-independent, G-invariant functions in is upper-bounded by the difference , where r is the generic rank of the -module spanned by all the derivations , ; i.e., r is the dimension of the -vector space .
Proof. Let be a basis for a in the SQZ-LA class. By virtue of Lemma 1, the matrix belongs to G and we have , for all and , and by taking derivatives at , we deduce that , , because the map is -linear. Consequently, if , then the -module is spanned by the invariant vector fields , , and the differential of every invariant function verifies , , thereby finishing the proof. □
In classical invariant theory over complex numbers, a method for computing the maximum number of algebraically-independent invariants consists of solving the linear equations arising from the system of first integrals of vector fields
,
; e.g., see ([
4] Theorem 4.5.2). Theorem 1 extends this procedure to a class of linear representations of positive characteristic.
It would also be interesting to adapt the algorithms given in [
6] to the linear representations of a linear algebraic group whose Lie algebra is in the SQZ-LA class of positive characteristic.
Remark 1. As is a homomorphism of Lie algebras, is an involutive submodule in . In the real or complex cases, Frobenius’s theorem implies that the maximum number of algebraically-independent, first-integral functions of is exactly, but in general the upper bound is not necessarily reached as several of these first-integral functions may be fractional or even transcendental functions. Nevertheless, we have
Corollary 1. If is as in Theorem 1 , is algebraically closed of characteristic zero, and or , then the algebra of G-invariant functions is an -algebra of polynomials in variables.
Proof. According to ([
18] Théorème 1), in the two cases of the statement above we have
, where the polynomials
are algebraically independent. Hence, their differentials
form a basis of the dual module to
by virtue of ([
19] VIII. Proposition 5.5), and we thus obtain
. □
Example 1. Let act on naturally and let be the standard basis for V; by settingwe deduce that the basic invariant is the function defined on the Zariski open subset O of non-degenerate metrics as follows: , where is the covariant symmetric tensor induced by s, assuming s is non-singular. In coordinates, . Hence and . Nevertheless, the result depends strongly on the linear representation being considered. For example, if we consider the natural representation of on , then the basic invariant is the function , which is globally defined, and, in this case, we have . Example 2. If the natural representation of on is considered, then, besides , there exists another globally defined invariant—namely, the discriminant function, i.e., . Hence, is also globally defined and we have .
Example 3. A more complex example is the following: If V is a six-dimensional -vector space andis a non-degenerate alternate bilinear form, then, as a computation shows, the generic rank of for the linear representation of on is 18; see [20] for the details. As , it follows that there exist two invariant functions, both of them polynomial functions. Example 4. Given , let X be the infinitesimal generator of the one-parameter group , . Let be the eigenvalues of A. We distinguish several cases. If , , then the vector field X admits a first integral in if and only if ; otherwise, every non-constant first integral of X is a transcendental function. If , then X admits a first integral in . If and the annihilator polynomial of A is , then and its basic first integral is the function . If the annihilator is , then X admits a first integral in . Finally, if then the annihilator A is and X admits the function x as a first integral.
4. The SQZ-LA Class Studied
Notation 1. Let be the standard basis for with dual basis . Every matrix is identified with the endomorphism on to which such matrix corresponds in the basis . If , then , or equivalently , which means that is the matrix with 1 in the entry and 0 in the rest of entries. Therefore, . Hence, The Lie algebra of traceless matrices with entries in is denoted by . The Lie algebra of skew-symmetric matrices with entries in is denoted by . The Lie algebra of matrices X with entries in such that , whereand is the identity matrix, is denoted by . By using the formulas (
1) and the standard basis for the Lie algebra
, i.e., the
matrices
,
,
;
,
, we obtain
Proposition 1. The matricesare a basis for fulfilling the property in Definition 1. Proposition 2. If the characteristic of is either zero or is positive p and p does not divide n, then the identity matrix cannot be written as a sum of square-zero matrices.
Proof. If , , , as the trace of a nilpotent matrix vanishes, then by taking traces on both sides in the previous equation, we have if the characteristic of is zero, and if the characteristic is p. □
Corollary 2. If the characteristic of is 2, then the identity matrix can be written as a sum of square-zero matrices if and only if n is even.
Proof. If
n is odd, the result follows from Proposition 2. If
, then let
be a basis for
with dual basis
. The space
is identified with
as usual, so that we have
,
, and
,
, are square-zero matrices, and for every
, we have
□
Similarly, by starting with the standard basis for the symplectic Lie algebra
, i.e.,
we obtain
Proposition 3. The matricesare a basis for , fulfilling the property in Definition 1. Similarly, we have
Proposition 4. The standard basis , , of the Lie subalgebra of strictly upper triangular matrices in satisfies the property in Definition 1.
As for the Lie algebra , with basis , , we have
Proposition 5. Let be the column vectors of a matrix of rank r, and let , , be r linearly independent column vectors of X. The necessary and sufficient condition for the square of X to be zero is that the subspace is totally isotropic with respect to the scalar product given by , .
Proof. As
X is skew-symmetric, for all
, we have
Hence, if and only if for .
Further, if , then , ; consequently, . It follows that if and only if for . □
Corollary 3. If the ground field is formally real, then the only matrix X in with is the zero matrix.
Proof. In fact, if , then: , and by virtue of the hypothesis, it follows that the only totally isotropic subspace for is . □
Remark 2. If the characteristic of is , then the only matrix X in such that is the zero matrix, as . The same holds for . In fact, ifthen, as the matrix is symmetric, the condition leads one to the following system of six equations: , ; , ; , . Hence , , , and consequently, . Remark 3. If an m-dimensional subalgebra belongs to the SQZ-LA class, then for every basis of , symmetric matrices , , must exist such that , for every , where is the matrix defined by . In fact, if is a square-zero basis for , then , for every , where . Hence, , thereby proving the remark. Therefore, it can be known whether a matrix algebra does not belong to the SQZ-LA class in polynomial time by simply solving a system of linear equations.
Next, following the notation and results of [
21], we study whether certain Lie algebras in characteristic 2 are in the SQZ-LA class. Assume the characteristic of
is 2, let
be a bilinear form, and let
be its associated Lie subalgebra; i.e.,
(Recall that we are in characteristic 2.) If, in addition,
is algebraically closed, then according to ([
21] Theorem 1.1) the Lie algebra
is reductive if and only if either (i)
and
, in which case
, (ii) or
and
f admits a Gram matrix
, in which case
is Abelian of dimension
, (iii) or else
f admits as Gram matrix a direct sum of matrices of the types indicated below, in which case
is isomorphic to the direct sum of the Lie algebras associated to these matrix summands:
TYPE 0:
, Abelian of dimension m;
, , .
TYPE , , :
, Abelian of dimension m;
, , .
TYPE 1:
, m odd, Abelian of dimension ;
, Abelian of dimension 4;
, , ;
, , .
In the case (i) the condition in Definition 1 does not hold for
as this condition never holds for
. In the case (ii) the condition in Definition 1 does not hold for
whatever the odd integer
. Finally, in the case of the matrix
A in TYPE 0,
is the Abelian Lie algebra generated by the powers
From Proposition 4 it follows that the algebra is in the SQZ-LA class, whereas in TYPE 0 is not. The Lie algebras and in TYPE 1 are not in the SQZ-LA class either. As for in TYPE 1, they do or do not belong to the SQZ-LA class depending on the nature of the ground field, as we have seen above. Finally, the Lie algebra is not in the SQZ-LA class, as follows directly from Proposition 3.