Abstract
In this paper, the Riemann–Hilbert problem, with a jump supported on an appropriate curve on the complex plane with a finite endpoint at the origin, is used for the study of the corresponding matrix biorthogonal polynomials associated with Laguerre type matrices of weights—which are constructed in terms of a given matrix Pearson equation. First and second order differential systems for the fundamental matrix, solution of the mentioned Riemann–Hilbert problem, are derived. An explicit and general example is presented to illustrate the theoretical results of the work. The non-Abelian extensions of a family of discrete Painlevé IV equations are discussed.
Keywords:
Riemann–Hilbert problems; matrix Pearson equations; matrix biorthogonal polynomials; discrete integrable systems; non-Abelian discrete Painlevé IV equation MSC:
42C05; 15A23
1. Introduction
Mark Grigorievich Krein [1,2] was the first to discuss matrix extensions of real orthogonal polynomials. Some relevant papers that appear afterwards on this subject are [3,4] and more recently [5]. The Russian mathematicians Aptekarev and Nikishin [5] made a remarkable finding: for a kind of discrete Sturm–Liouville operators they solved the scattering problem and proved that the matrix polynomials that satisfy a three-term recurrence relation with matrix coefficients
are orthogonal with respect to a positive definite matrix measure, i.e., they derived a matrix Favard theorem. Later, it was found that matrix orthogonal polynomials (MOP) sometimes satisfy properties, as do the classical orthogonal polynomials.
For example, for matrix versions of Laguerre, Hermite and Jacobi polynomials, the scalar-type Rodrigues’ formula [6,7] and a second order differential equation [8,9,10] has been discussed. It also has been proven in [11] that operators of the form have as eigenfunctions different infinite families of MOP’s. In [12,13] matrix extensions of the generalized polynomials considered in [14,15] were studied. Recently, in [16], the Christoffel transformation to matrix orthogonal polynomials in the real line (MOPRL) has been extended and a new matrix Christoffel formula was obtained. Finally, in [17,18] more general transformations—of Geronimus and Uvarov type—where also considered.
Fokas, Its and Kitaev [19] found, in the context of 2D quantum gravity, that certain Riemann–Hilbert problems were solved in terms of orthogonal polynomials in the real line (OPRL). They found that the solution of a Riemann–Hilbert problem can be expressed in terms of orthogonal polynomials in the real line and its Cauchy transforms. Later, Deift and Zhou combined these ideas with a non-linear steepest descent analysis in a series of papers [20,21,22,23] which was the seed for a large activity in the field. To mention just a few relevant results, let us cite the study of strong asymptotic with applications in random matrix theory [20,24], the analysis of determinantal point processes [25,26,27,28], orthogonal Laurent polynomials [29,30] and Painlevé equations [31,32].
Recursion coefficients for orthogonal polynomials and their properties is a subject of current interest. See [33,34] for a review on how the form of the weight and its properties translates to the recursion coefficients. Freud [35] has studied weights in of exponential variation , and . When he constructed relations among them as well as determining its asymptotic behavior. The role of the discrete Painlevé I in this context was discovered later by Magnus [36]. For a weight of the form , , on the unit circle the discrete Painlevé II equation for the recursion relations of the corresponding orthogonal polynomials was found in [37,38] (see also [39], for a connection with the Painlevé III equation). The discrete Painlevé II was found in [40] using the Riemann–Hilbert problem given in [41], see also [42]. For a good account of the relation of these discrete Painlevé equations and integrable systems, see [43], and for a survey on the subject of differential and discrete Painlevé equations see (cf. [44]). We also mention the recent paper [45] where a discussion on the relationship between the recurrence coefficients of orthogonal polynomials with respect to a semi-classical Laguerre weight and classical solutions of the fourth Painlevé equation can be found. Moreover, in [46], the solution of the discrete alternate Painlevé equations is presented in terms of the Airy function.
The Riemann–Hilbert problem for this matrix situation appears in the paper [47] in the context of inverse scattering for the integral matrix equation, as well as in [48] where the appearance of the Riemann–Hilbert problem for this matrix situation takes place when studying non-Abelian discrete versions of Painlevé I, showing singularity confinement [49], see also [50]. The singularity analysis for a matrix discrete version of the Painlevé I equation was performed. It was found that the singularity confinement holds generically, i.e., in the whole space of parameters except possibly for algebraic subvarieties. This situation was considered in [51] for the matrix extension of the Szegő polynomials in the unit circle and corresponding non-Abelian versions of discrete Painlevé II equations.
In [52], we discussed matrix biorthogonal polynomials with matrix of weights such that
- The support of is a non-intersecting smooth curve on the complex plane with end points at ∞.
- Weight matrix entries were, in principle, Hölder continuous, and eventually requested to have holomorphic extensions to the complex plane.
- The matrix of weights is regular, i.e., , , where the moment of order n, , associated with W is, for each , given by, .
We obtained Sylvester systems of differential equations for the orthogonal polynomials and its second kind functions, directly from a Riemann–Hilbert problem, with jumps supported on appropriate curves on the complex plane. We considered a Sylvester type differential Pearson equation for the matrix of weights. We also studied whenever the orthogonal polynomials and their second kind functions are solutions of second order linear differential operators with matrix eigenvalues. This was achieved by stating an appropriate boundary value problem for the matrix of weights. In particular, special attention was paid to non-Abelian Hermite biorthogonal polynomials in the real line, understood as those whose matrix of weights is a solution of a Sylvester type Pearson equation with given matrices of degree one polynomial coefficients. We also found nonlinear equations for the matrix coefficients of the corresponding three-term relations, which extends to the non-commutative case the discrete Painlevé I and the alternate discrete Painlevé I equations. In this paper, we conduct a similar study but with more relaxed conditions, namely of Laguerre type.
The layout of the paper is as follows. In Section 2 we present the main definitions and theorems fundamental in the theory worked on in this paper. In Section 3 we state the Riemann–Hilbert problem for matrix biorthogonal polynomials, discussing the Pearson–Laguerre matrix weights with a finite end point, introducing the constant jump fundamental matrix and the important structure matrix. We also apply these ideas to obtain first and second order matrix differential operators of Laguerre type. In Section 4, we take a Laguerre type weight as a case study and reinterpret the results just stated for this specific and general example. Then, in Section 5 we end the paper with the finding of a matrix extension of an instance of the discrete Painlevé IV equation.
2. Preliminaries
2.1. Matrix Biorthogonal Polynomials
We begin this section with the important definition of this paper.
Definition 1
(Laguerre type Matrix of weights). We say that a regular matrix of weights
is of Laguerre type if:
- The support of is a non self-intersecting smooth curve on the complex plane with a beginning point at 0 and an ending point at ∞, and such that it intersects the circles , , once and only once (i.e., it can be taken as a determination curve for ).
- The entries of the matrix measure W can be written aswhere denotes a finite set of indexes, , and is Hölder continuous and bounded. Here, the determination of logarithm and the powers are taken along γ. We will request, in the development of the theory, that the functions have a holomorphic extension to the whole complex plane.
- The matrix of weights is regular, i.e., , , where the moment of order n, , associated with W is, for each , given by, .
In this work, for the sake of simplicity, and the finite end point of the curve is taken at the origin, , with no loss of generality, as similar arguments apply for . In [10], different examples of Laguerre weights for the matrix orthogonal polynomials on the real line are studied.
Given a Laguerre type matrix of weights, as in Definition 1, we define the sequences of matrix monic polynomials, , where , , left orthogonal and right orthogonal, , where , , with respect to the regular matrix of measure W, by the conditions,
for and , where is a nonsingular matrix.
We can see that the sequence of monic polynomials are defined by (2) with respect to a regular matrix weight, W. In fact, taking into account a representation for as
such that, for each
and with
Let us notice that
In matrix notation, we have
Since , we know that the above linear system has a unique solution, i.e., there exists and are unique the matrices , and so the sequence is uniquely defined up to a multiplicative nonsingular matrix defined by (2).
As a direct consequence of the non-singularity of the last block of , i.e., the one in the position , of the matrix we find that is a non singular matrix. In fact, as (see for instance [53])
with
and , we get the non singularity of . The same can be seen for .
The matrix of weights induces a non-degenerate bilinear form in the set of matrix polynomials given by
for which and are biorthogonal
As the polynomials are chosen to be monic, we can write
with matrix coefficients , and (imposing that , ). Here, denotes the identity matrix.
2.2. Three-Term Recurrence Relation
Following standard arguments of orthogonality, we conclude that the sequence of monic polynomials satisfies the three-term recurrence relations
with recursion coefficients given by and , with initial conditions,
where is the Stieltjes–Markov transformation. Analogously,
where , , and .
These relations could be written as,
where denotes the left transfer matrix. For the right orthogonality, we similarly obtain,
where denotes the right transfer matrix.
2.3. Reductions: From Biorthogonality to Orthogonality
We consider two possible reductions for the matrix of weights, the symmetric reduction and the Hermitian reduction. (i) A matrix of weights with support on is said to be symmetric if
(ii) A matrix of weights with support on is said to be Hermitian if
These two reductions lead to orthogonal polynomials, as the two biorthogonal families are identified; i.e., for the symmetric case
and for the Hermitian case, with
In both cases, biorthogonality collapses into orthogonality, that for the symmetric case reads as
while for the Hermitian case it can be written as follows
where .
3. Riemann–Hilbert Problem for Matrix Biorthogonal Polynomials
3.1. The Riemann–Hilbert Problem
We begin this section stating a general theorem on the Riemann–Hilbert problem for the matrix Laguerre general weights. A preliminary version of this can be found in [54].
Theorem 1.
Given a regular Laguerre type matrix of weights with support on γ, we have:
- (i)
- The matrix functionis, for each , the unique solution of the Riemann–Hilbert problem, which consists in the determination of a complex matrix function such that:
- (RHL1)
- is holomorphic in .
- (RHL2)
- Has the following asymptotic behavior near infinity,
- (RHL3)
- Satisfies the jump condition
- (RHL4)
- , as , , and the O conditions are understood entrywise.
- (ii)
- The matrix functionis, for each , the unique solution of the Riemann–Hilbert problem, which consists of the determination of a complex matrix function such that:
- (RHR1)
- is holomorphic in .
- (RHR2)
- Has the following asymptotic behavior near infinity,
- (RHR3)
- Satisfies the jump condition
- (RHR4)
- , as , , and the O conditions are understood entrywise.
- (iii)
- The determinant of and are both equal to 1, for every .
Proof.
Using the standard calculations from the scalar case [55], it follows that the matrices and satisfy – and – respectively.
The entries of the matrix measure W are given in (1). It holds (cf. [56]) that in a neighborhood of the Cauchy transform
where denotes any polynomial in , that satisfies . Then, and are fulfilled by the matrices , respectively. To prove the unicity of both Riemann–Hilbert problems let us consider the matrix function
It can easily be proved that has no jump or discontinuity on the curve and that its behavior at the end point 0 is given by
so it holds that and we conclude that the end point 0 is a removable singularity of G. Now, from the behavior for ,
hence the Liouville theorem implies that . To prove the unicity of the solution of – and – let be any solution of the left Riemann–Hilbert problem. Then
Hence, any solution of this left Riemann–Hilbert problem is equal to the inverse of a fixed matrix, and the uniqueness follows. We obtain the uniqueness of the solution of the right Riemann–Hilbert in a similar way.
Let us calculate the determinant of the fundamental matrix. Since
Then
A similar reasoning leads to a similar result for . □
Corollary 1.
It holds that
that entrywise reads as follows
3.2. Pearson–Laguerre Matrix Weights with a Finite End Point
Instead of a given matrix of weights, we consider two matrices of entire functions, say and , such that the following matrix Pearson equations are satisfied
and, given solutions to them, we construct the corresponding matrix of weights as . This matrix of weights is also characterized by a Pearson equation.
Proposition 1
(Pearson differential equation). Given two matrices of entire functions and . A solution of the Sylvester type matrix differential equation, which we call a Pearson equation for the weight, W,
is of the form where the factor matrices and are solutions of (10).
Proof.
We can give the following result from the literature [57].
Theorem 2
(Solution at a regular singular point). Let be an entire matrix function. Then, for the solutions of the Pearson Equation (10) we have:
- (i)
- If has no eigenvalues that differ from each other by positive integers then, the solution of the left matrix differential equation in (10) can be written aswhere is an entire and nonsingular matrix function such that , and is a constant nonsingular matrix.
- (ii)
- If the matrix function has eigenvalues that differ from each other by positive integers, then the solution of the left matrix differential equation in (10) can be written aswhere, in this case,and is a finite product of factors of the form , with a nonsingular matrix and is a shearing matrix, i.e., a matrix given by blocks asfor some positive integers , and is an entire and non singular matrix function such that , is a constant matrix built from the matrix , where the eigenvalues of this matrix are decreased in such a way that the eigenvalues of the resulting matrix do not differ by a positive integer and is a constant nonsingular matrix.
We can obtain analogous results for the right matrix differential equation in (10) and we will denote the solution as
Notice that given a matrix A, and the oriented curve , the matrix of functions is a matrix of holomorphic functions in , and
We also adopt the convention that , i.e., the matrix of weight is obtained from the limit behavior of the right side of the curve of the matrix function .
It is necessary, in order to consider the Riemann–Hilbert problem related to the matrix of weights W satisfying (11), to study the behavior of around the origin. For that aim, let us consider J, the Jordan matrix similar to the matrix A, i.e., there exists an nonsingular matrix P such that . It holds so if
where is the order of the nilpotent matrix , we have that
where . It is straightforward that and
where we have used the nilpotency of for . So we can conclude that the entries of are linear combinations of with polynomials coefficients in the variable .
3.3. Constant Jump Fundamental Matrix
According to the above notation and given a regular matrix of weights as described in (11), we introduce the constant jump fundamental matrices
for .
Proposition 2.
The constant jump fundamental matrices and satisfy, for each , the following properties:
- (i)
- They are holomorphic on .
- (ii)
- Present the following constant jump condition on γfor all .
Proof.
(i) The holomorphic properties of are inherited from those of the fundamental matrices and and taking into account that is an entire matrix function.
(ii) From the definition of , we have
and taking into account Theorem 1 we successively obtain
Hence, we obtain the desired constant jump condition for .
To complete the proof we only have to check that
which is a consequence of (13). □
3.4. Structure Matrix and Zero Curvature Formula
In parallel to the matrices and , for each factorization we introduce what we call structure matrices given in terms of the left, respectively right, logarithmic derivatives by,
It is not difficult to prove that
Proposition 3
([52]). We have the following properties:
- (i)
- The transfer matrices satisfy
- (ii)
- The zero curvature formulas, are fulfilled.
Now, we discuss the holomorphic properties of the structure matrices just introduced.
Theorem 3.
The structure matrices and , cf. (15), are, for each , meromorphic on , with singularity located at , which happens to be a removable singularity or a simple pole.
Proof.
Let us prove the statement for , for one should proceed similarly. From (15) it follows that is holomorphic in . Due to the fact that has a constant jump on the curve , the matrix function has the same constant jump on the curve , so the matrix has no jump on the curve , and it follows that, at the origin, has an isolated singularity. From (15) and (12), it holds
where
Each entry of the matrix is the Cauchy transform of certain function , where , is an entire function, , , and I is a finite set of indices.
It is clear that . Now, (see [56] Sections 8.3–8.6) and [58], its Cauchy transform also satisfies the same property . We can also see that . Indeed,
From the boundary conditions, the first term is zero and we obtain , and from the definition of f we obtain that is a function in the class of f, which we denote by v and, consequently, . From these considerations it follows,
where , for , and , for , so it holds that
Similar considerations leads us to the result that
so we obtain that , and hence the matrix function has at most a simple pole at the point . □
3.5. Differential Relations from the Riemann–Hilbert Problem
We are interested in the differential equations fulfilled by the biorthogonal matrix polynomials determined by Laguerre type matrices of weights. Here we use the Riemann–Hilbert problem approach in order to derive these differential relations. We use the notation for the structure matrices
with and matrices of entire functions.
Proposition 4
(First order differential equation for the fundamental matrices and ). It holds that
Proof.
Corollary 2.
Let be two first degree matrix polynomials. The left and right fundamental matrices are given, respectively, by
Proof.
We introduce the transform, .
Proposition 5
(Second order differential equation for the fundamental matrices). It holds
Proof.
4. A Class of Laguerre Matrix Weights
Let us consider the matrix weight , , defined in with support on . Here , , are matrices such that , with spectrum , . This class of weights contains in the Hermitian case some of the cases studied in the literature [6,7,11,59].
For this class of Laguerre weights, we obtain, using analytic arguments, an alternative formula for the residue matrix with the simple pole at of the left fundamental matrix. In a similar manner, we could obtain the result for the right fundamental matrix. Notice that the fundamental matrix is completely determined in the previous section (19), where , , is substituted, respectively, by , , and , by . This alternative formula enables us to make an important simplification in the Equation (21) previously obtained.
Proposition 6.
The structure matrix defined in (15) has a simple pole given by the following expression:
- (1)
- If and , thenwhereα has the yielding canonical Jordan form, withand (respectively, ) being the sum of the algebraic multiplicities associated with eigenvalues with positive (respectively, negative) real parts and in (respectively, ), we gather together the Jordan blocks of all eigenvalues with positive (respectively, negative) real parts, and being given by
- (2)
- Ifwhere , with
Remark 1.
In the first case, have a simpler form if are all positive or all negative
- If , then .
- If , then .
Proof.
It can be seen that the matrix function defined by
with , satisfies the following conditions:
- is holomorphic in .
- over .
Let us start with the first case: and .
In this case, the constant jump matrix can be block diagonalized. For that aim, we consider the matrix
So, over the interval , we have
For , let us define the matrix
which satisfies, over , the following jump condition
Consequently, the matrix
has no jump in the interval . The matrix function has an isolated singularity at the origin which, as we will show now, is a removable singularity, i.e., . From its definition, we have that
and as , as and , as (because the eigenvalues of α are bounded from below by ), we conclude that for . Hence, is a matrix of entire functions.
Now, we want to compute . For this fact, we will elaborate with respect to the sign of the real part of spectrum of α. Notice that,
where the limit of each factor does not need to exist.
We separately compute in the cases, when and when , and then we give in general.
Caseand
When the real part of all the eigenvalues of α are strictly positive then each limit exists and
Caseand.
We cannot proceed as before. However, as the limit exists, if we are able to rewrite
in terms of two matrix factors and , a non singular matrix, with f having a well defined limit for , also being a non-singular matrix, we can ensure the existence of , and . This can be achieved by considering
So that,
General caseand.
Recalling the canonical Jordan form, we can write with
and (respectively, ) being the sum of the algebraic multiplicities associated with positive (respectively, negative) eigenvalues and in (respectively, ), we gather together the Jordan blocks of all positive (respectively, negative) eigenvalues. Hence,
with , .
Now, as we did in the previous case, with negative eigenvalues only, we left multiply by the following nonsingular matrix
to obtain
which for has a well defined limit, being a non-singular matrix, given by
Thus,
By definition,
as , we know that has no singularities, while
Consequently, has a simple pole at the origin with
Let us move to the proof of second case, i.e., , .
It can be seen that the matrix function satisfies over the following jump condition
For , instead of (27), let us define the matrix
where we take the branch of the logarithmic function defined in , which satisfies, over , the same jump condition
Consequently, the matrix
has no jump in the interval . The matrix function has an isolated singularity at the origin which, as we will show now, is a removable singularity, i.e.,
and as , as , we conclude that , as . Hence, is a matrix of entire functions. To compute we notice that,
For it holds that . For , the limit of each factor inside the limit does not need to exist. As the limit exists, let us write
with
So that,
Using the same kind of reasoning as above, we find that has a simple pole at the origin with
which ends the proof. □
Proposition 7.
The structure matrix has the yielding expression
Proposition 8.
Let α, and , such that , and the real part of spectrum of α, , is contained on with . If there exists such that , or , for some , then the second order differential equation is simplified to
Proof.
If we take into account that and that
we find that (21), the second order differential equation that the fundamental matrix satisfies, can be written as
Under the restriction that the real part of the spectrum of α is contained on and , the matrix has a pole of order 1 at , with residue given by
If we now also assume on the matrix α that , we obtain
In the case that , for some , we find that
In both cases, we have
and substituting
The result follows. □
Remark 2.
If the spectrum of α is contained in then:
- when , then the are admissible eigenvalues for α,
- when, then only positive and bigger than 1 eigenvalues are admissible for α, and we have.
Corollary 3.
Let us consider(i.e., the scalar case). If, and, then the second order equation forandis given by
Proof.
In the scalar case, this equation reduces to
as and , and so
now, considering the and the entry of this differential matrix equation the result follows. □
5. Matrix Discrete Painlevé IV
We can consider, using the notation introduced before, the matrix weight measure such that
From Proposition 5 we find that the matrix
is given explicitly by
From the three-term recurrence relation for we find that and where . Consequently,
In the same manner, from the three-term recurrence relation for , we deduce that and , where .
If we consider that and , and use the representation for and in z powers, the and entries in (17) read
We can write these equations as follows
We will show now that this system contains a noncommutative version of an instance of discrete Painlevé IV equation, as happens in the analogous case for the scalar scenario.
We see, on the right hand side of the nonlinear discrete Equations (28) and (29) nonlocal terms (sums) in the recursion coefficients and , all of them inside commutators. These nonlocal terms vanish whenever the three matrices conform an Abelian set. Moreover, is also an Abelian set. In this commutative setting, we have
In terms of and the above equations are
Now, we multiply the second equation by and taking into account the first one we arrive at
and so
Hence,
coincide to the ones presented in [60] as a discrete Painlevé IV (dPIV) equation. In fact, taking we finally arrive at
If we take in (30), then , and so
Now, taking square in the first equation in (30) we obtain
which is an instance of dPIV by Grammaticos, Hietarinta, and Ramani (cf. [61]).
We have just seen that,
Theorem 4 (Non-Abelian extension of the dPIV).
When, the following nonlocal nonlinear non-Abelian system for the recursion coefficients is fulfilled
Moreover, this system reduces in the commutative context to the standard dPIV equation.
6. Conclusions and Future Work
In this paper, using the Riemann–Hilbert problem for the Laguerre-type weight matrices, we obtain differential properties of the corresponding matrix biorthogonal polynomials as well as for the second kind matrix functions. It is remarkable to notice that we do not explicitly know the matrix measure, but only its differential properties.
We will consider in future work the case that the support of the measure has two finite end points, the Jacobi-type weight matrices, trying to also obtain differential properties and extensions of Painlevé discrete systems.
Author Contributions
Investigation, A.B., A.F.M., A.F. and M.M. All the authors contributed equally in the phases of this research project and contributed substantially to the work reported. All authors have read and agreed to the published version of the manuscript.
Funding
A.B. acknowledges Centro de Matemática da Universidade de Coimbra (CMUC)–UID/MAT/00324/2019, funded by the Portuguese Government through FCT/MEC and co-funded by the European Regional Development Fund through the Partnership Agreement PT2020. A.F.M. and A.F. acknowledges CIDMA Center for Research and Development in Mathematics and Applications (University of Aveiro) and the Portuguese Foundation for Science and Technology (FCT) within project UIDB/04106/2020 and UIDP/04106/2020. M.M. thanks financial support from the Spanish “Agencia Estatal de Investigación” research project [PGC2018-096504-B-C33], Ortogonalidad y Aproximacioón: Teoría y Aplicaciones en Física Matemática.
Institutional Review Board Statement
According to the Declaration of Helsinki no ethical approval is required.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
List of Acronyms
The following abbreviations are used in this manuscript:
| MOP | matrix orthogonal polynomials |
| MOPRL | matrix orthogonal polynomials in the real line |
| OPRL | orthogonal polynomials in the real line |
| dPIV | discrete Painlevé IV |
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