1. Introduction
We consider an arrangement of affine hyperplanes
in
. Let
be a first-degree polynomial on
whose kernel is
. Let
,
be nonzero complex numbers. An associated multidimensional hypergeometric integral is an integral of the form:
where
is a cycle in the complement to the union of the hyperplanes. We assume that the hyperplanes depend on parameters
and move parallel to themselves when the parameters change. Then the integral extends to a multivalued holomorphic function of the parameters. The holomorphic function is called a multidimensional hypergeometric function and is associated with this family of arrangements. The simplest example of such a function is the classical hypergeometric function.
The multidimensional hypergeometric functions can be combined into collections so that the functions of a collection satisfy a system of first-order linear differential equations called the Gauss–Manin differential equations.
If all polynomials
have integer coefficients and the numbers
,
are integers, then the Gauss–Manin differential equations can be reduced modulo a prime integer
p large enough. The goal of this paper is to construct polynomial solutions of the Gauss–Manin differential equations over the field
with
p elements. Our solutions are
p-analogs of the multidimensional hypergeometric integrals. The construction of the solutions is motivated by the classical paper [
1] by Yu. I. Manin (cf. section “Manin’s Result: The Unity of Mathematics” in [
2]; see also [
3,
4]).
The paper is organized as follows. In
Section 2, we recall the basic notions associated with an affine arrangement of hyperplanes in
. In
Section 3, we consider a family of arrangements of hyperplanes in
whose hyperplanes move parallel to themselves when the parameters of the family change. We introduce the Gauss–Manin differential equations and multidimensional hypergeometric integrals. We show that the multidimensional hypergeometric integrals satisfy the Gauss–Manin differential equations (see Theorem 3). In
Section 4, we consider the reduction of this situation modulo
p and construct polynomial solutions of the Gauss–Manin differential equations over
(see Theorem 5), which is the main result of this paper. We interpret our solutions as integrals over
under certain conditions (see Theorem 6). Such integrals could be considered as
p-analogs of the multidimensional hypergeometric integrals. In
Section 5, we consider examples. Under certain conditions, we interpret our polynomial solutions as sums over points on some hypersurfaces over
(see Theorem 10). This statement is analogous to the interpretation in Manin’s paper [
1] of the number of points on an elliptic curve depending on a parameter as a solution of a Gauss hypergeometric differential equation. In
Section 6, we briefly discuss the associated Bethe ansatz. We introduce a system of the Bethe ansatz equations and construct a common eigenvector to geometric Hamiltonians out of every solution of the Bethe ansatz equations (see Theorem 11). We show that the Bethe eigenvectors corresponding to distinct solutions are orthogonal with respect to the associated symmetric contravariant form (see Corollary 3).
2. Arrangements
We recall some facts about hyperplane arrangements, Orlik–Solomon algebras and flag complexes from [
5].
2.1. An Affine Arrangement
Let k and n be positive integers, where . Denote .
Let , be an arrangement of n affine hyperplanes in . Denote as the complement. An edge of the arrangement is a nonempty intersection of some hyperplanes of . Denote by the subset of indices of all hyperplanes containing . Denote .
We always assume that the arrangement is essential; that is, has a vertex, an edge that is a point.
An edge is called dense if the subarrangement of all hyperplanes containing it is irreducible: the hyperplanes cannot be partitioned into nonempty sets, so that, after a change of coordinates, hyperplanes in different sets are in different coordinates. In particular, each hyperplane of is a dense edge.
2.2. Flag Complex
For
, let
denote the set of all flags:
where each
is an edge of
of codimension
j. Let
denote the quotient of the free abelian group on
by the following relations. For every flag with a gap:
We impose:
in
, where the sum is over all flags
, such that
for all
. The abelian group
is a free abelian group (see [
5], Theorem 2.9.2).
There is an “extension of flags” differential
defined by:
where the sum is over all edges
of
of codimension
contained in
. It follows from Equation (
1) that
. Thus we have a complex, the
flag complex,
.
2.3. Orlik–Solomon Algebra
Define abelian groups , as follows. For , set . For , is generated by ℓ-tuples of hyperplanes , subject to the relations:
- (i)
if are not in general position (i.e., if ).
- (ii)
for every permutation .
- (iii)
For any
hyperplanes
that have a non-empty intersection,
, and that are not in general position:
where
denotes omission.
The abelian group
is a free abelian group, (see [
6]; [
5], Theorem 2.9.2).
The Orlik–Solomon algebra of the arrangement is the direct sum endowed with the product given by . It is a graded skew-commutative algebra over .
2.4. Orlik–Solomon Algebra as an Algebra of Differential Forms
For each hyperplane
, pick a polynomial
of degree 1 on
whose zero set is
H; that is, let
be an affine equation for
H. Consider the logarithmic differential form:
on
. We note that
does not depend on the choice of
but only on
H. Let
be the
-algebra of differential forms generated by 1 and
,
. The assignment
defines an isomorphism
of graded algebras. Henceforth we shall not distinguish between
and
.
2.5. Duality—See [5] (cf. [7], Section 2.5)
The vector spaces
and
are dual. The pairing
is defined as follows. For
in general position, set
, where
and:
For any , define if for some , and otherwise.
2.6. Flag and Orlik–Solomon Spaces over a Field
For any field
and
, we define:
2.7. Weights
An arrangement is weighted if a map , is given; is called the weight of . For an edge , define its weight as .
2.8. Contravariant Form and Map—See [5]
The weights determine a symmetric bilinear form
on
, given by:
where the sum is over all unordered
ℓ-element subsets. The form is called the
contravariant form. It defines a homomorphism:
where the sum is taken over all
ℓ-tuples
, such that:
Theorem 1 ([
5], Theorem 3.7).
For , choose a basis of the free abelian group . Then with respect to that basis, the determinant of the contravariant form on equals the product of suitable non-negative integer powers of the weights of all dense edges of of codimension not greater than ℓ. Corollary 1. If the weights of all dense edges of are nonzero, then the contravariant map is an isomorphism for all ℓ.
2.9. Aomoto Complex
Multiplication by
defines a differential:
on
,
. The complex
is called the
Aomoto complex. The
master function corresponding to the weighted arrangement
is the function:
where each
is an affine equation for the hyperplane
. Then
.
Theorem 2 ([
5], Lemma 3.2.5; and [
8], Lemma 5.1).
The Shapovalov map is a homomorphism of complexes: 2.10. Singular Vectors
An element
is called
singular if
. Denote by:
the subspace of all singular vectors.
2.11. Arrangements with Normal Crossings Only
An essential arrangement is with normal crossings only, if exactly k hyperplanes meet at every vertex of . Assume that is an essential arrangement with normal crossings only.
A subset is called independent if the hyperplanes intersect transversally. A basis of is formed by , where are independent ℓ-element subsets of J. The dual basis of is formed by the corresponding vectors . These bases of and are called standard.
In
, we have:
for any permutation
. For an independent subset
, we have
and
,
for any distinct elements of the standard basis.
3. A Family of Parallelly Transported Hyperplanes
3.1. An Arrangement in
Recall that
. Consider
with coordinates
,
with coordinates
, the projection
. Fix
n nonzero linear functions on
,
,
, where
. Define
n linear functions on
:
In
, define the arrangement:
Denote
.
For every fixed
, the arrangement
induces an arrangement
in the fiber over
of the projection. We identify every fiber with
. Then
consists of hyperplanes
, defined in
by the same equations,
. Denote:
as the complement to the arrangement
.
We assume that for any , the arrangement has a vertex. This means that the span of is k-dimensional.
A point is called good if has normal crossings only. Good points form the complement in to the union of suitable hyperplanes called the discriminant.
3.2. Discriminant
The collection induces a matroid structure on J. A subset is a circuit in if are linearly dependent but any proper subset of C gives linearly independent ’s.
For a circuit , let be a nonzero collection of complex numbers such that . Such a collection is unique up to multiplication by a nonzero number.
For every circuit C, we fix such a collection and denote . The equation defines a hyperplane in . It is convenient to assume that for and write .
For any , the hyperplanes in have a nonempty intersection if and only if . If , then the intersection has codimension in .
Denote by the set of all circuits in . Denote . The arrangement in has normal crossings only, if and only if .
3.3. Good Fibers
For any , the spaces , are canonically identified. Namely, a vector of the first space is identified with the vector of the second.
Assume that weights are given. Then each arrangement is weighted. The identification of spaces , for identifies the corresponding subspaces and and the corresponding contravariant forms.
For a point , denote , . The triple does not depend on under the above identification.
3.4. Geometric Hamiltonians (cf. [9,10])
For any circuit
, we define a linear operator
in terms of the standard basis of
(see
Section 2.11).
For
, denote
. Let
be an independent ordered subset and
be the corresponding element of the standard basis. Define
if
. If
for some
, then using the skew-symmetry property of Equation (
5), we can write:
with
. Define:
Lemma 1 ([
9]).
The operator is symmetric with respect to the contravariant form. Consider the logarithmic differential one-forms:
in variables
,
. For any circuit
, we have:
Lemma 2 ([
9], Lemma 4.2; and [
10], Lemma 5.4).
We have: Proof. The lemma is a direct corollary of the definition of the maps . ☐
The identity in Equation (
8) is called the
key identity.
Recall that
and
. For
, we introduce the
-valued rational functions in
by the formula:
The functions are called geometric Hamiltonians.
Corollary 2. The geometric Hamiltonians are symmetric with respect to the contravariant form, for , .
3.5. Gauss–Manin Differential Equations
The Gauss–Manin differential equations with parameter
are given by the following system of differential equations on a
-valued function
:
where
are the geometric Hamiltonians defined in Equation (
9).
We introduce the master function:
on
. The function
defines a rank-one local system
on
, whose horizontal sections over open subsets of
are univalued branches of
multiplied by complex numbers.
For
and an element
, we interpret the integration map
,
as an element of
. The vector bundle:
has a canonical flat Gauss–Manin connection. A locally constant section
of the Gauss–Manin connection defines a
-valued function:
The integrals:
are called the
multidimensional hypergeometric integrals associated with the master function
.
Theorem 3 ([
10]).
The function takes values in and gives solutions of the Gauss–Manin differential equations. The condition that the function
takes values in
may be reformulated as the system of equations:
3.6. Proof of Theorem 3
We sketch the proof following [
3,
5]. The intermediate statements of this sketch are used further when constructing solutions of the Gauss–Manin differential equations over a finite field
. The proof of Theorem 3 is based on the following cohomological relations, Equations (
21) and (
24).
For any
, denote:
We have:
where the dots denote the terms having differentials
. We note that the rational function
has the form:
where
is a polynomial with integer coefficients in variable
and
,
,
(see Equation (
6)). For any
, we write:
where the dots denote the terms having differentials
, and
are rational functions in
of the form:
Here,
are polynomials with integer coefficients in variable
and
,
,
(see Equation (
6)). The formula:
implies the identity:
where
denotes the differential with respect to the variables
t.
Now we deduce a corollary of the key identity, Equation (
8). Choose
. For any independent
, we write:
where the dots denote the terms that contain
with
, and the coefficients
are rational functions in
of the form:
Here,
are polynomials with integer coefficients in variable
and
,
,
(see Equation (
6)).
Equation (
8) implies that for any
, we have:
where
denotes the differential with respect to the variables
t.
Integrating both sides of Equations (
21) and (
24) over
and using Stokes’ theorem, we obtain Equations (
14) and (
11) for the vector
in Equation (
13). Theorem 3 is proved.
3.7. Remarks
It is known from [
5] that for generic
, all
-valued solutions of the Gauss–Manin Equation (
11) are given by Equation (
13). Hence, we have the following statement.
Theorem 4 ([
10]).
The geometric Hamiltonians , preserve and commute on , namely, for all and . 4. Reduction Modulo p of a Family of Parallelly Transported Hyperplanes
4.1. An Arrangement in over
Similarly to
Section 3.1, we consider
with coordinates
,
with coordinates
, the projection
. Fix
n nonzero linear functions on
,
,
, with integer coefficients
. Define
n linear functions on
:
where
.
Recall the matroid structure
on
J, the set
of all circuits in
, and the linear functions
labeled by
, where the functions are defined in
Section 3.2. Each of these functions is determined up to multiplication by a nonzero constant.
Definition 1. We fix the coefficients to be integers such that the greatest common divisor of equals 1.
This is possible as all are integers. This choice of the coefficients defines the function uniquely up to multiplication by .
Let
p be a prime integer and
be the field with
p elements. Let
be the natural projection. We introduce the following linear functions in
with coefficients in
:
The collection induces a matroid structure on J. A subset is a circuit in if are linearly dependent over but any proper subset of C gives linearly independent ’s.
Definition 2. We say that a prime integer p is good with respect to the collection of linear functions if all linear functions in Equation (
26)
are nonzero and the matroid structures and on J are the same. In the following, we always assume that p is good with respect to the collection of linear functions .
We have logarithmic differential forms:
in variables
,
with coefficients in
. For any circuit
, we have:
Assume that the nonzero integer weights
are given, where
,
. The constructions of
Section 3 give us the following:
- (i)
A vector space over with standard basis indexed by all independent subsets of J.
- (ii)
A vector subspace consisting of all linear combinations
satisfying the equations:
- (iii)
A symmetric bilinear
-valued contravariant form
on
defined by the formulas:
for any independent
and
,
for any distinct elements of the standard basis.
For any circuit
, we define a linear operator
by the formula of
Section 3.4, in which the numbers
are replaced with
. We have the key identity:
For
, we define the
-valued rational functions in
by the formula:
We call the functions the geometric Hamiltonians. The geometric Hamiltonians are symmetric with respect to the contravariant form for , .
The Gauss–Manin differential equations over
with parameter
are given by the following system of differential equations:
The goal of this paper is to construct polynomial -valued solutions of these differential equations.
4.2. Polynomial Solutions
Let a prime integer p be good with respect to . Let be nonzero integer weights , .
Choose positive integers
, such that:
in
. Introduce the master polynomial:
where
are defined in Equation (
25). For any
, the function
is a polynomial in
with integer coefficients. For fixed
, consider the Taylor expansion:
where
for any
. We denote by
the projection of
to
. Denote:
Theorem 5. Let a prime integer p be good with respect to . Then for any integers satisfying Equation (
31)
, any integers , and any positive integers , the polynomial function satisfies the algebraic equations in Equation (
27)
and the Gauss–Manin differential equations in Equation (
30).
The parameters
A,
q,
of the solution
are analogs of the locally constant cycles
in
Section 3.5.
We note that the space of polynomial solutions of Equations (
27) and (
30) is a module over the ring
, as
.
Proof. To prove that
satisfies Equations (
27) and (
30), consider the Taylor expansions at
of both sides of Equations (
21) and (
24) divided by
. We note that the Taylor expansions are well defined as a result of Equations (
17), (
19) and (
23). We project the Taylor expansions to
. Then the terms coming from the
-summands equal zero, as
(mod
p). ☐
4.3. Relation of Solutions to Integrals over
For a polynomial
and a subset
, we define the integral:
We consider the vector of polynomials:
Theorem 6. Let . Let be the solution of Equations (
27)
and (
30)
considered in Theorem 5 for . - (i)
If for , then: - (ii)
If the integers are such that:then Equation (
36)
holds.
Proof. Part 1 follows from the statement that for a positive integer
i,
Part 2 also follows from Equation (
38) by the following reason. The polynomial
is a product of
linear functions in
t. If Equation (
37) holds, then
is the only monomial
of the Taylor expansion of that polynomial, such that
and
for
. ☐
The integral in Equation (
36) is a
p-analog of the hypergeometric integral of Equation (
13) (see also
Section 5).
6. Bethe Ansatz
The goal of the Bethe ansatz is to construct mutual eigenvectors of the geometric Hamiltonians
defined in Equation (
29).
As in
Section 4.1,
Section 5.2 and
Section 5.3, we consider
n nonzero linear functions on
,
,
, with integer coefficients
. Let a prime integer
p be good with respect to
. Let
be nonzero integer weights
,
.
Recall the functions with . Assume that is such that for any . Then are well-defined linear operators on .
Introduce the system of the
Bethe ansatz equations:
with respect to the unknown
.
Theorem 11. If is a solution of Equation (
61),
then the vector:satisfies Equation (
27)
and is an eigenvector of the geometric Hamiltonians: Proof. Equation (
27) for
follows from Equations (
20) and (
21) reduced modulo
p. Because
is a solution of Equation (
61), the left-hand side of Equation (
21) equals zero. Equation (
63) is a straightforward corollary of the key identity of Equation (
28) (see the proof of [
4], Theorem 2.1). ☐
Corollary 3. Let and be distinct solutions of the Bethe ansatz Equation (
61)
; then . Proof. Because
, there exists
i such that
. Hence
has distinct eigenvalues on
,
, but
is symmetric:
☐