Irreducibility of the monodromy representation of Lauricella's $F_C$
Yoshiaki Goto, Keiji Matsumoto

TL;DR
This paper proves that the monodromy representation of Lauricella's hypergeometric system is irreducible under specific parameter conditions and reducible otherwise, clarifying its algebraic structure.
Contribution
It establishes the precise conditions for irreducibility of the monodromy representation of Lauricella's hypergeometric system.
Findings
Monodromy representation is irreducible under 2^{m+1} parameter conditions.
Representation becomes reducible if any condition is not satisfied.
Provides a complete characterization of the monodromy's reducibility.
Abstract
Let be the hypergeometric system of differential equations satisfied by Lauricella's hypergeometric series of variables. We show that the monodromy representation of is irreducible under our assumption consisting of conditions for parameters. We also show that the monodromy representation is reducible if one of them is not satisfied.
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Taxonomy
TopicsPolynomial and algebraic computation · Nonlinear Waves and Solitons · Cancer Treatment and Pharmacology
Irreducibility of the monodromy representation
of Lauricella’s
Yoshiaki Goto
General Education, Otaru University of Commerce, Otaru 047-8501, Japan
and
Keiji Matsumoto
Department of Mathematics, Hokkaido University, Sapporo 060-0810, Japan
Abstract.
Let be the hypergeometric system of differential equations satisfied by Lauricella’s hypergeometric series of variables. We improve a fundamental system of solutions to expressed in terms of so that it is valid even in cases where parameters satisfy some integral conditions. We show that the monodromy representation of is irreducible under our assumption consisting of conditions for parameters. We also show that the monodromy representation is reducible if one of them is not satisfied.
Key words and phrases:
Monodromy representation, Hypergeometric functions, Lauricella’s .
2010 Mathematics Subject Classification:
33C65, 32S40.
1. Introduction
Lauricella’s hypergeometric series of variables with complex parameters , , , , is defined by
[TABLE]
where , , and . This series converges in the domain
[TABLE]
It is shown in [5] that the hypergeometric system of differential equations satisfied by is a holonomic system of rank with the singular locus
[TABLE]
and that the system is irreducible (in the sense of -modules) if and only if
[TABLE]
It is classically known that there are solutions to expressed in terms of with different parameters(see (3)). If parameters satisfy (1) and then they form a fundamental system of solutions to in a simply connected domain in .
Let be the complement of the singular locus . The fundamental group of is generated by loops (see §2.2). In [4], we express the circuit transformations along by using the solutions and the intersection form on twisted homology groups associated with Euler-type integrals of solutions to . These expressions are independent of the choice of a basis of the twisted homology group. The circuit transformations are also studied in [8] by the specification of the intersection form regarded as indeterminate.
In this paper, we show the following.
Theorem 1.1** (Main theorem).**
The monodromy representation
[TABLE]
is irreducible under the assumption (1), where is the local solution space to around a point .
Note that under the assumption (1), for example, may be an integer. In such a case, the solutions (3) expressed by do not form a basis of the local solution space. We give a linear transformation of them so that the transformed solutions are valid even in cases where any of ’s are integers. We construct it inductively on using tensor products of matrices.
We remark that the irreducibility of the monodromy representation is implied from that of the system under the assumption (1). We prove it explicitly by using properties of the circuit transformations in [4], not applying results of -modules. We here briefly explain our idea of the proof of the main theorem. It is shown in [4] that the -eigenspace of is -dimensional. Let (corresponding to in §3.2) be a non-zero vector in its orthogonal complement with respect to the intersection form. It is quite easy to give a basis of the whole space by actions on . Let be an invariant subspace of under the monodromy representation . If then we can show , which yields that becomes the whole space by the previous fact. Otherwise, we can show that becomes the zero space by the perfectness of the intersection form.
The irreducibility of -hypergeometric systems is studied in [2], and later in [1] and [10]. Hattori and Takayama [5] studies the irreducibility of the system by utilizing results in [1] and [10] for the -hypergeometric systems associated with . From these results, it seems difficult to know the structure of an invariant subspace when the system is reducible. We show that is reducible if one of the assumption (1) is not satisfied, and we specify an invariant subspace in under the monodromy representation in this case.
2. Preliminaries
Except in §5, we assume the conditions for parameters in (1) (it is equivalent to (2) or (4) mentioned below).
In this section, we collect some facts about Lauricella’s mentioned in [3], [4], [5] and [7].
Notation 2.1*.*
We put
[TABLE]
We often regard , and as indeterminants, and consider the rational function field . For a rational function , we denote .
Under these notations, the condition (1) is equivalent to
[TABLE]
For example, or are allowed.
Note that though in [4] the indices run the subsets of , in this paper we use as a set of indices. The correspondence is given by
[TABLE]
where is the -th unit vector of size . We put .
2.1. System of differential equations
Let be the partial differential operator with respect to . We set , . Lauricella’s satisfies differential equations
[TABLE]
The system generated by them is called Lauricella’s hypergeometric system of differential equations. The system is a holonomic system of rank with the singular locus . It is shown in [5] that the system is irreducible, that is, the system defines a maximal ideal in the ring of differential operators with rational function coefficients, if and only if the parameters satisfy (1).
For an element of , we set
[TABLE]
where
[TABLE]
Note that the assumption (1) is equivalent to
[TABLE]
and that
[TABLE]
Example 2.2*.*
We give examples for (we put , ):
[TABLE]
where and means the sum of running over the set .
The functions form a basis of the local solution space to the system around a point in under conditions (1) and
[TABLE]
We set a (row) vector valued function
[TABLE]
where are aligned by the pure lexicographic order as
[TABLE]
Note that its entries have factors
[TABLE]
respectively.
2.2. Monodromy representation
Put . For and , let be the analytic continuation of along . Since is also a solution to , the map is a -linear automorphism which satisfies for . Here, the composition of loops and is defined as the loop going first along , and then along . We thus obtain a representation
[TABLE]
of , where is the general linear group on a -vector space . This representation is called the monodromy representation of .
Let be loops in so that
- •
turns the hypersurface around the point , positively,
- •
turns the hyperplane , positively.
For explicit definitions of them, see [4].
Fact 2.3** ([4]).**
The loops generate the fundamental group . Moreover, if , then they satisfy the following relations:
[TABLE]
In [4], linear maps are investigated in terms of twisted homology groups and the intersection form. In this paper, we do not explain them. What we need is the following fact.
Fact 2.4** ([3]).**
- (i)
By integration, the twisted homology group is isomorphic to the solution space . 2. (ii)
We can construct twisted cycles that correspond to . 3. (iii)
The intersection matrix with respect to the basis is diagonal, and its -entry is
[TABLE]
By using this fact and properties of the intersection form, we can induce the intersection form on .
Definition 2.5**.**
We assume (1) and (5). We define a bilinear form (called the intersection form)
[TABLE]
as follows. For any , we express them as linear combinations of the basis :
[TABLE]
and define
[TABLE]
Remark 2.6*.*
Let be the intersection form on induced from that on the twisted homology group by the isomorphism in Fact 2.4 (i). The intersection form coincides with modulo a constant multiple which never vanishes under the conditions (1) and (5).
Corollary 2.7**.**
Under the conditions (1) and (5), the intersection form is a monodromy invariant form, that is, for any loops , we have
[TABLE]
In other words, satisfies
[TABLE]
where is the representation matrix of with respect to the basis .
Let be the representation matrix of with respect to the basis . We give explicit expressions of them.
Fact 2.8** ([4]).**
We assume (1), (5) and . For , the representation matrix is diagonal, and its -entry is . The representation matrix is expressed as
[TABLE]
where is the unit matrix of size , is the column vector of size with all entries , and is the intersection matrix given in Fact 2.4.
Remark 2.9*.*
These expressions are obtained from consideration to eigenvectors of each .
- (i)
(); is an eigenvector of eigenvalue (resp. ) if (resp. ), where . 2. (ii)
; the eigenvalues of are and . The eigenspace of eigenvalue is one-dimensional and spanned by
[TABLE]
which corresponds to when we take the basis . The eigenspace of of eigenvalue is characterized as . 3. (iii)
The first expression of is stable under the non-zero scalar multiple to .
3. Another basis
In fact, does not form a basis of when ’s are integers. In this section, we introduce another basis which is a well-defined basis even if ’s are integers, and we give the circuit matrices with respect to this basis. Note that these do not coincide with solutions obtained by integrating the twisted cycles defined in [4, §6]
3.1. Basis of
First, we construct a basis of .
Lemma 3.1**.**
Let be any element of and be any element of . Then the limit function
[TABLE]
is well-defined and not identically zero.
Proof.
We have only to note that has the factor
[TABLE]
which cancels out . ∎
Lemma 3.2**.**
Let and be elements of and be an integer. Then the limit function
[TABLE]
is well-defined and not identically zero.
Proof.
We show the case (we put ). Firstly, we assume . By Example 2.2,
[TABLE]
where , , . Both functions and converge to
[TABLE]
as . Apply l’Hôpital’s rule to the function
[TABLE]
to verify that its limit as exists, where in the second sum. Note that yields the factor .
Secondly, we assume . In this case, the sum has negative terms for as . Since converges to a non-zero value, these negative terms are well-defined. Thus consists of these finite terms and the infinite sum considered in the case .
Thirdly, we assume . By regarding as in the sums of and , we can show that is well-defined and not identically zero as in the previous consideration.
For a general , use a similar argument by regrading the variables except as constants. Note that the limit function has the factor coming from . ∎
We define the tensor product of matrices and as
[TABLE]
We remark that this is different from the usual definition. We fix the number of variables. We set
[TABLE]
for and
[TABLE]
By using these notations, the matrices given in Fact 2.8 is expressed as
[TABLE]
where is the unit matrix of size . For example, we have
[TABLE]
in the case , and
[TABLE]
in the case . Note that
[TABLE]
where is the square zero matrix of size . We have
[TABLE]
since and
[TABLE]
We use a new basis given by
[TABLE]
The vector-valued function takes the form
[TABLE]
for , and the form
[TABLE]
for .
Theorem 3.3**.**
The vector-valued function gives a basis of the space of the local solutions to around even in cases .
Proof.
The entries of consist of
[TABLE]
where is the -th unit vector of size and . The functions in the first and second lines are well-defined by Lemmas 3.1 and 3.2. Since the functions
[TABLE]
are well-defined by Lemma 3.2, the function
[TABLE]
is also well-defined. In this way, we can show that the entries of are well-defined even in cases . In the case , the functions has the factor , if . This implies that ’s are also linearly independent in such a case. ∎
3.2. Representation matrices and the intersection matrix
Next, we consider the representation matrices of ’s and the intersection matrix with respect to the new basis .
In the below discussion, we often use the following equality which is shown by a straightforward calculation:
[TABLE]
where , and we define a partial order on by
[TABLE]
Corollary 3.4**.**
Let be the representation matrix of with respect to the basis . For , we have
[TABLE]
* is written as*
[TABLE]
where is a column vector whose -th entry is
[TABLE]
Under the condition (1) without assuming (5), are valid.
Proof.
By the definition of , we have . The first claim follows from and the expressions of and as tensor products.
We show the second claim. Note that since all of the entries of the -th column (we also say the -th column) of are , we have and hence is an eigenvector of of eigenvalue , where . By and Fact 2.8, should be
[TABLE]
where is a column vector whose -th entry is . It is sufficient to show that
[TABLE]
The -th entry of the left-hand side is equal to
[TABLE]
If , then this is the -th entry of . If we assume , then it equals to
[TABLE]
by (7), and this coincides with the -th entry of . ∎
Lemma 3.5**.**
* vectors*
[TABLE]
are linearly independent. In other words, actions on give a basis of the whole space .
Proof.
It is sufficient to show that the matrix
[TABLE]
is invertible. We calculate its determinant. Because of and , this matrix equals to
[TABLE]
By the alignment of the indices set, the right side of this product is
[TABLE]
and its determinant is . By (6), the determinant of (8) is equal to , which is not zero. ∎
Proposition 3.6**.**
Let , which represents the intersection form with respect to the basis . Then is well-defined, and its determinant is
[TABLE]
In particular, is non-degenerate even in cases .
Proof.
First, we show the well-definedness. For , , we put
[TABLE]
Since is diagonal, the -entry of is
[TABLE]
If , then , and hence
[TABLE]
is well-defined. If , the same calculation as the proof of Corollary 3.4 shows
[TABLE]
and we can see that its denominator does not vanish.
Next, we evaluate . Straightforward calculation and (6) show
[TABLE]
We thus have
[TABLE]
and it is not zero under the condition (2). ∎
By this proposition, we can relax the condition to define the intersection from on .
Corollary 3.7**.**
By using and , the intersection form in Definition 2.5 can be extended even in cases .
Lemma 3.8**.**
The eigenspace of with eigenvalue is expressed as
[TABLE]
Proof.
This is obvious because of the expression
[TABLE]
∎
Remark 3.9*.*
If the eigenvalue of coincides with , then the -th entry of is zero and also belongs to this eigenspace .
Lemma 3.10**.**
[TABLE]
Proof.
This is also obvious because of the orthogonality of the eigenspaces (Remark 2.9 (ii)) and the definition of . ∎
4. Irreducibility
We restate the main theorem and give its proof.
Theorem 4.1**.**
The monodromy representation
[TABLE]
is irreducible under the condition (1).
Proof.
By Theorem 3.3, it is sufficient to consider the matrix representation by under the isomorphism . Let be an invariant subspace.
- (i)
First, we suppose . We take such that . By the definition of , the image of is spanned by . Thus implies that there exists such that . We obtain
[TABLE]
By Lemma 3.5, the vectors
[TABLE]
are linearly independent. This implies . 2. (ii)
Next, we suppose . We fix an arbitrary . Since is an invariant subspace, we have
[TABLE]
for any . By the monodromy invariance of the intersection matrix , commutativity between , and Lemma 3.10, we obtain
[TABLE]
The linear independence of and (Proposition 3.6) means that . We thus have .
Therefore, the invariant subspaces should be the trivial ones. ∎
5. Reducibility
Recall that our irreducibility assumption (1) consists of conditions for parameters. In this section, we show that if one of them is not satisfied then the monodromy representation of is reducible. More precisely, we have the following theorem.
Theorem 5.1**.**
*Suppose that there exists such that , or , . If for any different from , then the monodromy representation of is reducible, that is, there exists a non-trivial subspace in invariant under . *
Proof.
We fix and assume that If there exists such that then
[TABLE]
which contradicts to the assumption. Thus we have and the solutions in (3) for are valid. Note that these solutions are linearly independent.
Hereafter, we regard as an indeterminant, and consider two cases:
- (i)
approaches to a non-positive integer (); 2. (ii)
approaches to a positive integer ().
To prove the reducibility, we find a non-trivial invariant subspace in each case.
- (i)
Note that the solution in (3) for this is expressed as a non-zero constant multiple of
[TABLE]
where runs over the set
[TABLE]
Since
[TABLE]
for when , some finite terms of diverge. However, the poles of the Gamma function are simple, these poles are canceled by the limit of as . Hence the solution is reduced to the sum of finite terms by the limit . Since is a polynomial times , the -dimensional span of in is invariant under . Therefore the monodromy representation is reducible in this case. Note that the representation matrices in Fact 2.8 are valid under the limit and the -th column of is the -th unit column vector of size . We can also see that the -dimensional span of is invariant under by these representation matrices. 2. (ii)
If the parameter goes to a positive integer , then the solution in (3) for this reduces to the identically zero. Thus we use the fundamental system , where the diagonal matrix is given in Fact 2.4. By the explicit form of , we can easily see that for are valid under the limit . The limit is a non-zero constant multiple of
[TABLE]
where runs over the same set as (i). Since each term of this series converges as , this limit is a solution to with the factor . Thus the fundamental system is valid under the limit . By this change of fundamental systems, the representation matrices are transformed into
[TABLE]
For , since and are diagonal, we have . By Fact 2.8, is given as
[TABLE]
These representation matrices are valid under the limit . By this limit, the -th row of is the -th unit row vector of size . Hence the -dimensional space spanned by is invariant under .
Therefore, we obtain non-trivial invariant subspaces, and complete the proof. ∎
Remark 5.2*.*
Even in the case of , we need detailed case analysis to give a fundamental system of solutions to in terms of the series (3) without the condition (1), refer to [6] and [9].
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] F. Beukers, Irreducibility of A-hypergeometric systems , Indag. Math. (N.S.), 21 (2011), 30–39.
- 2[2] I.M. Gel’fand, M.M. Kapranov and A.V. Zelevinsky, Generalized Euler integrals and A 𝐴 A -hypergeometric functions , Adv. Math., 84 (1990), 255–271.
- 3[3] Y. Goto, Twisted cycles and twisted period relations for Lauricella’s hypergeometric function F C subscript 𝐹 𝐶 F_{C} , Internat. J. Math., 24 (2013), 1350094 19pp.
- 4[4] Y. Goto, The monodromy representation of Lauricella’s hypergeometric function F C subscript 𝐹 𝐶 F_{C} , Ann. Sc. Norm. Super. Pisa Cl. Sci. (5), XVI (2016), 1409–1445.
- 5[5] R. Hattori and N. Takayama, The singular locus of Lauricella’s F C subscript 𝐹 𝐶 F_{C} , J. Math. Soc. Japan, 66 (2014), 981–995.
- 6[6] T. Kimura and K. Shima, A note on the monodromy of the hypergeometric differential equation , Japan. J. Math. (N.S.) 17 (1991), 137–163.
- 7[7] G. Lauricella, Sulle funzioni ipergeometriche a più variabili , Rend. Circ. Mat. Palermo, 7 (1893), 111–158.
- 8[8] K. Matsumoto, Monodromy representations of hypergeometric systems with respect to fundamental series solutions , to appear in Tohoku Math. J., ar Xiv:1502.01826.
