Determinant structure for tau-function of holonomic deformation of linear differential equations
Masao Ishikawa, Toshiyuki Mano, Teruhisa Tsuda

TL;DR
This paper explores tau-functions linked to holonomic deformations of linear differential equations, providing a determinant formula for their ratios by leveraging Hermite's approximation problems.
Contribution
It introduces a new determinant formula for tau-function ratios in the context of holonomic deformations, connecting Hermite's approximation problems with Schlesinger transformations.
Findings
Derived a determinant formula for tau-quotients.
Connected Hermite's approximation problems with tau-functions.
Extended understanding of holonomic deformations in differential equations.
Abstract
In our previous works, a relationship between Hermite's two approximation problems and Schlesinger transformations of linear differential equations has been clarified. In this paper, we study tau-functions associated with holonomic deformations of linear differential equations by using Hermite's two approximation problems. As a result, we present a determinant formula for the ratio of tau-functions (tau-quotient).
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Determinant structure for -function of
holonomic deformation of linear differential equations
Masao Ishikawa
Department of Mathematics, Okayama University, Okayama 700-8530, Japan.
Toshiyuki Mano
Department of Mathematical Sciences, University of the Ryukyus, Okinawa 903-0213, Japan.
Teruhisa Tsuda
E-mail: [email protected]
(October 17, 2017; Revised June 20, 2018)
Abstract
In our previous works [16, 17], a relationship between Hermite’s two approximation problems and Schlesinger transformations of linear differential equations has been clarified. In this paper, we study -functions associated with holonomic deformations of linear differential equations by using Hermite’s two approximation problems. As a result, we present a determinant formula for the ratio of -functions (-quotient).
††footnotetext: 2010 Mathematics Subject Classification 34M55, 34M56, 41A21.
1 Introduction
There are many results concerning determinant formulas for solutions to the Painlevé equations; see [9, 10, 11, 18, 24, 25] and references therein. After pioneering works by D. Chudnovsky and G. Chudnovsky [1, 2], an underlying relationship between the theory of rational approximation for functions and the Painlevé equations has been clarified by several authors [13, 15, 16, 17, 28]. This relationship provides a natural explanation for the determinant structure of solutions to the Painlevé equations.
Among them, the second and third authors of this paper studied the relationship between two approximation problems by Hermite (i.e. the Hermite–Padé approximation and the simultaneous Padé approximation) and isomonodromic deformations of Fuchsian linear differential equations. They constructed a class of Schlesinger transformations for Fuchsian linear differential equations using Hermite’s two approximation problems and a duality between them. As an application, they obtained particular solutions written in terms of iterated hypergeometric integrals to the higher-dimensional Hamiltonian systems of Painlevé type (that were introduced in [26]). For details refer to [16, 17].
In the present paper, we study using Hermite’s two approximation problems the determinant structure for -functions of holonomic deformations of linear differential equations which have regular or irregular singularities of arbitrary Poincaré rank. The main theorem (Theorem 6.2) is stated as follows: fix an integer and consider a system of linear differential equations of rank
[TABLE]
where and are matrices independent of . Let be Jimbo–Miwa–Ueno’s -function (see (4.5) and (4.6)) associated with a holonomic deformation of (1.1). We apply the Schlesinger transformation to (1.1) that shifts the characteristic exponents at by
[TABLE]
for a positive integer . Let denote the -function associated with the resulting equation. Then the ratio (-quotient) admits a representation in terms of an block Toeplitz determinant:
[TABLE]
with being a rectangular Toeplitz matrix (see (3.4)) whose entries are specified by the asymptotic expansion of a fundamental system of solutions to (1.1) around . It should be noted that our result is valid for general solutions not only for particular solutions such as rational solutions or Riccati solutions.
This paper is organized as follows. In Section 2, we review Hermite’s two approximation problems and a certain duality between them. This duality due to Mahler [14] will be a key point for the construction of Schlesinger transformations in a later section. We remark that the normalization in this paper is slightly different from that in the previous ones [16, 17]. Therefore, we formulate the two approximation problems in a form suitable to the present case. In Section 3, we give determinant representations for the approximation polynomials and the remainder of the approximation problems. In our method, these representations turn out to be the nature of the determinant structure of the -quotient. In Section 4, we briefly review the theory of holonomic deformation of a linear differential equation following [7, 8]. In Section 5, we construct the Schlesinger transformations of linear differential equations by applying the approximation problems. Section 6 is the main part of this paper. We present the determinant formula for the -quotient (see (1.2) or Theorem 6.2) based on the coincidence between the Schlesinger transformations and the approximation problems. A certain determinant identity (see (6.7)) plays a crucial role in the proof. Section 7 is devoted to an application of our result. We demonstrate how to construct particular solutions to the holonomic deformation equations such as the Painlevé equations. We then find some inclusion relations among solutions to holonomic deformations and, typically, obtain a natural understanding of the determinant formulas for hypergeometric solutions to holonomic deformations. In Appendix A, we give a proof of the determinant identity applied in the proof of Theorem 6.2. Though this determinant identity can be proved directly, we will prove its Pfaffian analogue in a general setting and then reduce it to the determinant case in order to simplify the proof and to enjoy better perspectives.
Acknowledgement.
This work was supported by a grant-in-aid from the Japan Society for the Promotion of Science (Grant Numbers 16K05068, 17K05270, 17K05335, 25800082 and 25870234).
2 Hermite–Padé approximation and simultaneous Padé approximation
In this section, we review Hermite’s two approximation problems in a suitable form, which will be utilized to construct Schlesinger transformations for linear differential equations in a later section.
Let be an integer larger than one. Given a set of formal power series
[TABLE]
with the conditions
[TABLE]
the Hermite–Padé approximation is formulated as follows: find polynomials
[TABLE]
such that
[TABLE]
There exists a unique set of polynomials under a certain generic condition on the coefficients of . The precise condition will be later stated in terms of non-vanishing of some block Toeplitz determinants; see (3.8) in Section 3.
In turn, the simultaneous Padé approximation is formulated as follows: find polynomials
[TABLE]
such that
[TABLE]
Under the same generic condition as above, for each the polynomials are uniquely determined up to simultaneous multiplication by constants.
Interestingly enough, these two approximations are in a dual relation; cf. [14].
Theorem 2.1** (Mahler’s duality).**
Let and be the Hermite–Padé approximant and the simultaneous Padé approximant, respectively. Define matrices and by
[TABLE]
Then it holds that
[TABLE]
where is a diagonal matrix independent of .
Proof.
This can be proved in a procedure similar to Theorem 1.3 in [17]. ∎
We can choose the normalization of such that (the identity matrix). We will henceforth adopt this normalization.
3 Determinant representation of Hermite–Padé approximants
In this section, we give a concrete description of the solution to the Hermite–Padé approximation problem (2.2)–(2.4) in Section 2.
Without loss of generality, we may assume since the approximation conditions remain unchanged if we replace by Therefore, we assume in the sequel. Let us write the power series as
[TABLE]
Then we see that and from and that from (2.1). Besides we set for notational convenience. Let us write the polynomials as
[TABLE]
with being the coefficient of . The left-hand side of (2.3) reads as
[TABLE]
Hence the approximation condition (2.3) can be interpreted as a system of linear equations for the unknowns :
[TABLE]
for ; and
[TABLE]
for .
Let us introduce the column vectors
[TABLE]
where
[TABLE]
and introduce the rectangular Toeplitz matrix
[TABLE]
for the sequence . Then the linear equations (3.1) and (3.2) are summarized as a matrix form
[TABLE]
where is a square matrix of order defined by
[TABLE]
Similarly, (3.3) can be rewritten into
[TABLE]
where () are matrices defined by
[TABLE]
Solving (3.5) and (3.6) by Cramer’s rule, we have the determinant expressions of the approximants :
[TABLE]
for ; and
[TABLE]
for , where is a square matrix of order defined by
[TABLE]
In the latter case we have used the normalization (2.4). Note that
[TABLE]
are the conditions for the unique existence of , which we will impose throughout this paper.
Next, we concern
[TABLE]
which are the reminders of the Hermite–Padé approximation problem (2.2)–(2.4). For , we have
[TABLE]
For , substituting (3.7) shows that
[TABLE]
Introduce the block Toeplitz determinants
[TABLE]
and
[TABLE]
where we have used and . Thus, the coefficients of are written as
[TABLE]
4 Holonomic deformation of a system of linear differential equations
In this section, we briefly review the theory of holonomic deformations of linear differential equations following [7, 8].
We consider an system of linear differential equations which has regular or irregular singularities at on with Poincaré rank , respectively:
[TABLE]
where
[TABLE]
and and are constant matrices independent of . We assume that is diagonalizable as
[TABLE]
where the diagonal matrix satisfies
[TABLE]
Let us introduce the diagonal matrices
[TABLE]
for with
[TABLE]
Then, we can take sectors centered at and there exists a unique fundamental system of solutions to (4.1) having the asymptotic expansion of the form
[TABLE]
in each . Note that are in general divergent and that even around the same point these power series in two different sectors may differ by a left multiplication of some constant matrix (Stokes phenomena). Without loss of generality, we henceforth assume .
If we start with the fundamental system of solutions normalized by the asymptotic expansion
[TABLE]
in the sector around , then the same solution behaves as
[TABLE]
in a different sector , where and are the invertible constant matrices called the connection matrix and Stokes multiplier, respectively.
We consider a deformation of (4.1) by choosing and ; ; as its independent variables such that , and are kept invariant. Such a deformation is called a holonomic deformation. Let denote the exterior differentiation with respect to the deformation parameters . The fundamental system of solutions specified by (4.2) is subject to the holonomic deformation if and only if it satisfies
[TABLE]
where is a matrix-valued -form given as
[TABLE]
whose coefficients and are rational functions in . From the integrability condition of (4.1) and (4.3), we obtain a system of nonlinear differential equations for and :
[TABLE]
We remark that and are computable from and by a rational procedure; see [8] for details. The -form
[TABLE]
is closed, i.e. , for any solution to (4.4). Hence we can define the -function by
[TABLE]
5 Construction of Schlesinger transformations
In this section, we construct the Schlesinger transformation that shifts the characteristic exponents at of the system of linear differential equations (4.1) as
[TABLE]
where and is a positive integer.
Write the power series part of (see (4.2)) as
[TABLE]
where
[TABLE]
Namely, is an matrix whose entries are formal power series in , and its constant term is the identity matrix, i.e. . Factorizing into two matrices as
[TABLE]
we then define new power series from the first column of the former by
[TABLE]
Note that the coefficients of the diagonal free part
[TABLE]
can be determined recursively by (4.1); see [8, Proposition 2.2]. Since it holds that and , we can apply the Hermite–Padé approximation problem (2.2)–(2.4) and the simultaneous Padé approximation problem (2.5)–(2.6) considered in Section 2 to the set of formal power series . Define the matrices
[TABLE]
Recall here that . The result is stated as follows.
Theorem 5.1**.**
The polynomial matrix provides the representation matrix of the Schlesinger transformation for (4.1) which shifts the characteristic exponents at by .
Proof.
From Theorem 2.1, we have . The conditions for the degrees (2.2) and (2.5) shows that is of degree at most and at most , respectively. Consequently, it holds that and for some constant ; and thus . It implies that is an invertible matrix at any . Therefore, the transformation does not affect the regularity or the singularity of at any . Let us observe the influence at of this transformation. It follows from the approximation conditions (2.3) and (2.4) that
[TABLE]
Noticing the expression
[TABLE]
of the exponential part of , we can conclude that induces the Schlesinger transformation that shifts the characteristic exponents at as . ∎
Remark 5.2*.*
Taking the determinants of the both sides of (5.3), we have . Combining this with yields .
6 Determinant structure of -quotients
In this section, we investigate the influence on the -function by the Schlesinger transformation.
We consider the Schlesinger transformation of a linear differential equation (4.1), which shifts the characteristic exponents at by
[TABLE]
for a positive integer ; see Section 5. Let denote the -function associated with the holonomic deformation of the resulting linear differential equation after the Schlesinger transformation, while denotes that of the original (4.1).
First, we shall look at a relation between and . According to [7, Theorem 4.1] it holds that
[TABLE]
where is a special case of the characteristic matrices and is defined by the following generating function:
[TABLE]
or equivalently
[TABLE]
with for . Thus we find that
[TABLE]
Here we note the following elementary fact.
Lemma 6.1**.**
Let
[TABLE]
be formal power series, where . If the relation
[TABLE]
among the formal power series holds for each , then the equality
[TABLE]
regarding their coefficients holds.
Proof.
It can be verified straightforwardly by using . ∎
Returning to our situation, we have
[TABLE]
from Lemma 6.1 since and are mutually related by (see (5.1) and (5.2))
[TABLE]
It thus follows from (6.1) that
[TABLE]
Next, we shall track how the entries of are changed after the Schlesinger transformation. Define
[TABLE]
by
[TABLE]
In particular, the entry is obtained from the remainder of the Hermite–Padé approximation as (see (3.9) and (5.2))
[TABLE]
Let
[TABLE]
and for as in the previous sections. Namely, overlined symbols denote the quantities after the Schlesinger transformation that shifts the characteristic exponents at as . Then, by applying Lemma 6.1 twice, we have
[TABLE]
Finally, combining (6.3) and (6.4) yields that
[TABLE]
Substituting (3.12) in the above, we obtain
[TABLE]
Now we state the main theorem.
Theorem 6.2**.**
Consider a holonomic deformation of (4.1). Let be the -function associated with (4.1) and let be the -function associated with the transformed equation from (4.1) by the Schlesinger transformation that shifts the characteristic exponents at by
[TABLE]
for a positive integer . Then the following determinant formula for the -quotient holds:**
[TABLE]
where is the block Toeplitz determinant defined by (3.4) and (3.10) and its entries are specified by (5.1) and (5.2), i.e. the asymptotic solution to (4.1) at .
Proof.
We have the equality
[TABLE]
which will be shown in Appendix A. Therefore, (6.5) implies
[TABLE]
It is clear from (3.10) and (6.3) that Hence the theorem is proved. ∎
Remark 6.3*.*
In the case of a second-order Fuchsian linear differential equation, their isomonodromic deformations are governed by the Garnier systems and the formula (6.6) has been established in [15].
Remark 6.4*.*
Jimbo and Miwa [7] treat determinant representations of -quotients for arbitrary Schlesinger transformations and their matrix entries are written in terms of the characteristic matrices. However, the characteristic matrices themselves are, in general, too complicated to compute explicitly. On the other hand, Theorem 6.2 above gives a much simpler representation of -quotients in terms of block Toeplitz determinants, though the Schlesinger transformations are restricted to a specific direction shifting the characteristic exponents at one point by . Note also that our formula involves only the first column of , where is the power series part of the asymptotic solution to (4.1). It is expected that more general Schlesinger transformations are related to other types of approximation problems beyond Hermite–Padé type. It would be an interesting problem to explore such relationships.
Example 6.5*.*
Consider a system of linear differential equations
[TABLE]
with an irregular singularity of Poincaré rank at . There exists a unique fundamental system of solutions having the asymptotic behavior of the form
[TABLE]
at , where and
[TABLE]
It thus follows that
[TABLE]
The holonomic deformation of (6.8) amounts to its compatibility condition with
[TABLE]
which reads
[TABLE]
the first two equations are equivalent to the Painlevé II equation (see [7, Appendix C]):
[TABLE]
In this case, since the block Toeplitz determinat (see (3.10)) reduces to a usual one and Theorem 6.2 shows that the -quotient is equal to
[TABLE]
up to multiplication by constants. It is interesting to note that if we substitute the rational solution , and then can be expressed as a logarithmic derivative of a shifted Airy function ; this phenomenon has been studied closely in connection with integrable systems [5, 9, 11] (see also [2]).
7 Particular solutions to holonomic deformation
In this section, as an application of results in the previous section, we present a method for constructing particular solutions to holonomic deformation equations such as the Painlevé equations.
Consider the system of linear differential equations (4.1). Take a new point where (4.1) is non-singular. The solution (4.2) normalized at can be expanded around as follows:
[TABLE]
where and denotes the th derivative of with respect to . Write the power series part as
[TABLE]
and put
[TABLE]
We apply the Hermite–Padé approximation problem (2.2)–(2.4) to the set of formal power series , and introduce the matrices
[TABLE]
made from its approximants . Using , we define the rational function matrix
[TABLE]
Then satisfies a system of differential equations of the form
[TABLE]
This means that the transformation induces one regular singularity in (4.1). It is clear by definition of that the characteristic exponents of (7.1) at the additional regular singularity read . Furthermore, we see that if is subject to a holonomic deformation of (4.1), then is also subject to that of (7.1) since and have the same monodromy. Consequently, at the level of holonomic deformations, we have a certain inclusion relation between solutions as described below.
Suppose for simplicity that (4.1) is Fuchsian, i.e. for any . One can associate with (4.1) an -tuple
[TABLE]
of partitions of , called the spectral type, which indicates how the characteristic exponents overlap at each of the singularities (). Note that by means of the spectral type the number of accessary parameters in (4.1) is estimated at
[TABLE]
see e.g. [21]. The argument above provides a procedure to obtain a new system (7.1) of spectral type from the original system (4.1) of spectral type while keeping the monodromy. Therefore, the general solution to the deformation equation of (4.1) gives rise to a particular solution to the deformation equation of (7.1). This phenomenon is exemplified by the fact that the Garnier system in variables includes the Garnier system in variables as its particular solution; cf. [23, Theorem 6.1] It is also interesting to mention that if the original (4.1) is rigid, i.e. having no accessory parameter such as Gauß’s hypergeometric equation, then the deformation equation of (7.1) possesses a solution written in terms of that of the rigid system (4.1) itself. In this case, our procedure gives a natural interpretation to Suzuki’s recent work [22], in which a list of rigid systems or hypergeometric equations appearing in particular solutions to the higher order Painlevé equations is presented.
Example 7.1* (Case ).*
Let us consider a Fuchsian system of differential equations
[TABLE]
with three regular singularities , whose spectral type is . We can assume without loss of generality that and is diagonal, i.e. . It is well known that the entries of a fundamental system of solutions to (7.2) can be written in terms of Gauß’s hypergeometric function. If we take an arbitrary point and apply the procedure above, then we obtain a system of differential equations of the form
[TABLE]
it is a Fuchsian system with four regular singularities , whose spectral type is . We know from the construction that the monodromy of (7.3) is independent of , i.e. (7.3) is subject to an isomonodromic deformation with a deformation parameter . Thus we can derive a particular solution written in terms of Gauß’s hypergeometric functions to the Painlevé VI equation with constant parameters
[TABLE]
where , and . Refer to [6, 7] for the Painlevé VI equation.
Appendix A Proof of an identity for determinants
In this appendix we derive the determinant identity (6.7), which is used to verify the main theorem of this paper. We first prove its Pfaffian analogue in a general setting to achieve better perspectives, and then we reduce it to the determinant case. The reader can refer to [3] for various Pfaffian identities and their applications.
Let be a set of alphabets, which is a totally ordered set. Let denote the set of words over . For a word and its permutation , denotes the sign of the permutation that converts into if has no duplicate letter, and [math] otherwise. Given a word of length , its permutation is called a perfect matching on if for and for , where and . This perfect matching is designated by the configuration in the plane which contains vertices () labeled with and arcs above the axis connecting the vertices and (). Let denote the set of all perfect matchings on . For a perfect matching , we call the set of arcs in . It is easy to see that the sign equals , where is the number of crossings of the arcs in the configuration of . For example, the set of perfect matchings on a word reads
[TABLE]
If we take a perfect matching then we have the set of arcs and is designated by the following configuration:
1$$2$$3$$4
There is no crossing of the arcs and certainly holds.
Let be a map which assigns an element of a commutative ring to each pair such that . Such a map is called a skew symmetric map. For each perfect matching , we define the weight as
[TABLE]
The Pfaffian of corresponding to the word is the sum of the weights , where runs over all perfect matchings on , i.e.,
[TABLE]
We use the convention that if . It is known that
[TABLE]
where is a permutation of . Especially if has a duplicate letter. For example, the Pfaffian of corresponding to is given as
[TABLE]
The following identity is the Plücker relation for Pfaffians, which is originally due to Ohta [20] and Wenzel [27]. Ohta’s proof is by algebraic arguments, and Wenzel employs the Pfaffian form. The proof we present here is more combinatorial one based on the same idea as in [4].
Theorem A.1** (cf. [3, 20, 27]).**
Let be words such that and are odd and is even. Then it holds that
[TABLE]
Proof.
We put , and . Let denote the set of perfect matchings on in which there is exactly one arc connecting a vertex in and a vertex in and all the other arcs are between vertices in or between vertices in . For example, if , and then , and . The following configuration designates such a perfect matching on , , in which the arc is the only arc connecting a letter in and a letter in :
7$$8$$1$$2$$3$$4$$5$$6$$7$$8
For and , let denote the subset of having the arc ; thereby, . Let us consider the sums and ; thereby,
[TABLE]
Claim*.*
It holds that
[TABLE]
for .
To check the claim, we first associate with each perfect matching a pair of perfect matchings such that and by shifting from the original position to the head of in the configuration. For the above example the vertex is shifted and the associated pair is thus illustrated as follows:
7$$8$$2$$3$$1$$4$$5$$6$$7$$8
Since , it is then clear that
[TABLE]
which proves (A.4).
By the same argument we obtain
[TABLE]
for . Hence (A.3) leads to the desired identity (A.2) via (A.4) and (A.5). Note that if or then there appears a repeated letter in the word, so we can remove these cases. ∎
Corollary A.2** (cf. [4, 12]).**
Let be words such that and are even. Then it holds that
[TABLE]
for .
Proof.
Putting , i.e. , in Theorem A.1 shows that
[TABLE]
Write and . Then we have and by (A.1). Hence we obtain
[TABLE]
which coincides with (A.6) if we replace with . ∎
Corollary A.3** (cf. [12]).**
Let be words such that and are even with . Let be a skew symmetric map on defined by . Then it holds that
[TABLE]
Proof.
Let . We proceed by induction on . If , it is trivial. (If , (A.7) is implied by Corollary A.2.) Assume the case holds for some . In view of , we observe by definition that
[TABLE]
Using , we have
[TABLE]
Using the induction hypothesis, we have . By virtue of Corollary A.2, it is immediate to verify (A.7) for any . ∎
From here we consider identities for determinants. Assume the set of alphabets is a disjoint union of and , i.e. . Let and be any sets of alphabets which possess injections and , denoted by and , respectively. For instance, we let be the set of positive integers, and and the sets of odd and even integers, respectively. Then we may put and , which define the injections and . For a pair and of words of length , we introduce the word
[TABLE]
of length . Let be a map which assigns an element of a commutative ring to each pair . We then define a skew symmetric map on as follows:
[TABLE]
We also use the notation of determinant
[TABLE]
where and .
A determinant can be expressed as a Pfaffian.
Proposition A.4** (cf. [3, 12, 19]).**
Let and be words such that . Then it holds that
[TABLE]
Proof.
Let and . To compute , we need to consider only perfect matchings on whose arcs are all between and ; recall (A.8). The set of such perfect matchings is in one-to-one correspondence with . To simplify the description, we first rearrange the word to be
[TABLE]
and then consider its perfect matching for each . Because , we have
[TABLE]
(see (A.1)) and
[TABLE]
which complete the proof. ∎
Combining Corollary A.3 and Proposition A.4 leads to the following determinant identity, which we may call Sylvester’s identity.
Corollary A.5**.**
Let and be words such that and . Let be a map on defined by . Then it holds that
[TABLE]
Finally, let us derive the determinant identity (6.7) from Corollary A.5. For notation, recall (3.4), (3.10) and (3.11). Let and put
[TABLE]
for , where denotes the largest integer which does not exceed . We take the words and of length given by
[TABLE]
Let denote the word for ; e.g. . We take the words and of length . Then it holds that and
[TABLE]
since both and can be rearranged to be and
[TABLE]
In a similar manner, it holds that
[TABLE]
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