On matrix Painlevé-4 equations.
Part 2: Isomonodromic Lax pairs
Abstract
For all non-equivalent matrix systems of Painlevé-4 type found by authors in [4], isomonodromic Lax pairs are presented. Limiting transitions from these systems to matrix Painlevé-2 equations are found.
Keywords: Matrix Painlevé equations, isomonodromic Lax pairs
1 Introduction
It is known that the scalar system
(1) |
is equivalent to the Painlevé-4 equation
(2) |
where , , . The prime ′ means the derivative with respect to the variable .
In the paper [4], matrix generalizations of system (1) of the form
(3) |
were investigated. In system (3) the coefficients , are scalar and others are constant -matrices. Here and below, we consider matrices over the field . The authors found all non-equivalent systems of the form (3) that satisfy the matrix Painlevé–Kovalevskaya test [2]. They can be written as follows:
(6) |
(9) |
(12) |
Here , , are arbitrary matrices and two constant matrices , in 12 are connected by the relation .
In the present paper we construct for each of systems 6 – 12 an isomonodromic Lax representation of the form
(13) |
where is the spectral parameter, , are some -matrices with entries being polynomials in , , . We assume that the -dependence of and is given by
(14) |
where and are constant diagonal matrices.
Remark 1.
It is clear that in the scalar case a pair of the form (14) admits the shift
(15) |
where are arbitrary constant scalar matrices, is an arbitrary function. In addition, the scaling and a conjugation of and by a constant diagonal matrix are allowed.
2 Isomonodromic Lax pairs for systems 6 – 12
The equation (2) admits several equivalent isomonodromic representations (13) with different dependence on the spectral parameter (see for example [16]).
An isomonodromic pair of the form (14) for the scalar equation (2) was found in [14]. More precisely, the matrices
define the representation (14) for the system
which is equivalent to the equation (2) for . The key point of our approach is the observation that the transformation
where , brings this Lax pair to a polynomial pair for system (1) with
(16) |
As a result of the shift we obtain a pair for the system
(17) |
with matrices and given by
(18) | ||||
(20) |
The parameters were implemented by a shift described in Remark 1.
We use a procedure of non-abelinization of the latter pair to the matrix case. Namely, we form an ansatz for the matrix pair replacing parameters and variables and by non-commutative ones such that in the case of -matrices this ansatz coincides with (LABEL:eq:JMpairscal). In particular, we replace the commutative product by with unknown number and so on.
Note that when the parameters in (LABEL:eq:JMpairscal) become matrices, no shifts like (15) can remove them.
2.1 Case 6
In the case of -matrices the 6 system has the form (17), where , , . Thus, the non-abelian ansatz becomes
(21) |
Substituting it in (14), we obtain two possible Lax pairs given by
or |
In the first case the matrices and read
(22) |
To get the second pair, one can apply the following symmetry of the 6 system:
(23) |
to (22) and then conjugate the resulting Lax pair by the matrix to bring it to the form (LABEL:eq:JMpairscal).
2.2 Case 9
In the case , we have , , and the ansatz is given by
(24) |
From (14) it follows that
or |
In the second case the matrices and have the form
(25) |
The first pair should be equivalent to this, but we have not yet been able to find an appropriate gauge transformation.
2.3 Case 12
The case , is different from the previous two since for -matrices the commutation relation implies If then in the scalar equation (17) we have , , . Substituting the ansatz
(26) |
into (14), we obtain
and therefore
(27) | ||||
(29) |
To implement into these matrices, we use the method of undetermined coefficients, combining it with some considerations of homogeneity. It is clear that the right hand sides of systems 6 – 12 are homogeneous polynomials with weights
(30) |
In the Lax pairs found above we have
(31) | |||
(32) |
where . Suppose that this is true also for the Lax pair in the case . All monomials of weight , and that contain are the following:
Adding to the matrices (LABEL:AB03) arbitrary linear combinations of these monomials of proper weights, we constitute a new ansatz with 57 unknown coefficients. Substituting it to (13) and solving the corresponding large but simple algebraic system, we obtain the Lax pair for 12 with
(33) |
Additional monomials with are marked in blue.
3 Limiting transitions in Lax pairs
In the scalar case, the scheme of degenerations of the Painlevé equations [8] and their isomonodromic Lax pairs is well-known. In particular, there exists a limiting transition from the equation to the equation . We construct similar transitions from the systems 6 – 12 and their Lax pairs found in Section 2 to the matrix equations
discovered in the paper [1]. As a result, we obtain also Lax pairs for equations equivalent to those presented in [1].
In the scalar case, one can apply to the system (1) the following transformation:
(34) | |||
to bring it to the form
Passing to the limit , we obtain the system
(35) |
which is equivalent to the Painlevé-2 equation
(36) |
for .
This degeneration procedure can be extend to the Lax pair (16). Conjugating (16) by the matrix , we get
Let us make the transformation (34), supplemented by
(37) |
in the relation (13). This leads to the -dependent pair
in which, after conjugation by the matrix , one can pass to the limit to obtain the pair
(38) |
for the system (35). Here we replace by and by in the formula (13). The pair (38) is just the Harnad–Tracy–Widom pair [11] up to a scaling.
We are going to describe similar relations between matrix systems 6 – 12 and equations – . All these equations have the form
(39) |
Such a matrix equation can be rewritten as the system of two equations
(42) |
Here , , , , and .
3.1 Case
3.2 Case ,
As in the previous case, for the limiting transition in the pair (25), we supplement the change of variables (34), (37) with the following transformations:
and perform the shift of the form (15) with . Then in the limit we get the pair
for the system
of the form (42). This system is equivalent to the equation for .
Remark 2.
The system is also equivalent to the equation
(45) |
for the variable . In the scalar case it coincides with the equation
(46) |
3.3 Case ,
Consider the transformations (34), (37) padded with formulas
and with the shift . Then the pair (33) in the limit takes the form
The relation (13) is equivalent to the system
of the form (42) corresponding to the equation for .
Thus, we found the Lax pairs for matrix Painlevé equations – . Our pairs are gauge equivalent to those presented in [1]. In particular, the Irfan pair [13, 1]
for system (44) can be reduced to (43) by conjugation with the matrix (the so-called Fabri transform, see [15]), where .
Using the Fabri transformations it is not difficult to convert our pairs to pairs of the Flashka-Newell type [7]. However, they look more cumbersome.
4 Conclusion
4.1 –equation with non-commutative independent variable
The systems 6 – 12 as well as their Lax pairs found in Section 2 are polynomial and therefore make sense if we replace the matrix variables with elements of an associative unital algebra over . In the case of systems 6, 9 we can take for this algebra the trivial central extension of the free associative algebra with generators , , and by the element . For system 12 the algebra is generated by , , , , and by the relation .
In this approach a system (3) is replaced by the corresponding derivation of , which acts on the generators as
Formula (13) means that It would be interesting to find additional commutator relations that can be imposed on the generators of in the case of systems 6 – 12 [18, 17, 12].
For systems of Painlevé type with non-commutative independent variable (cf. [19]) the algebra is the free associative algebra with generators , , and . Since in such models we have , in the matrix representation the non-commutative variable may be replaced by , where is the commutative independent variable and is an arbitrary constant matrix. Therefore, any system with the non-commutative that has a Lax representation (13) generates the corresponding system with commutative . The converse is not always true. However, if in the pair (22) we add the term to and to by a shift (15), the result can be written as
where . This is the Lax pair for the 6 system
with non-commutative independent variable .
4.2 Outlook
Possibly, our approach can be applied to the classification of matrix polynomial systems of –type. It is natural to expect that the limiting transitions (see Section 3) relate them to other matrix Painlevé type systems. Besides, one can try to generalize recent results related to matrix and equations [9, 10, 12, 6, 5]. In these papers hierarchies of higher matrix Painlevé equations, non-commutative monodromy surfaces (for a matrix -equation there exist five non-commutative monodromy surfaces [3]), auto-Bäcklund transformations, and non-commutative orthogonal polynomials are investigated.
Acknowledgements
The authors are grateful to V. Adler, V. Poberezhny and V. Roubtsov for useful discussions. The research of the second author was carried out under the State Assignment 0029-2021-0004 (Quantum field theory) of the Ministry of Science and Higher Education of the Russian Federation. The first author was partially supported by the International Laboratory of Cluster Geometry NRU HSE, RF Government grant № 075-15-2021-608.
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