Abstract
In this paper, we seek connections between the Sylvester equation and Kadomtsev–Petviashvili system. By introducing Sylvester equation are bold, please chekc if bold neceaasry, if not, please remove all bold of equation − = together with an evolution equation set of and , master function ( + ) is used to construct the Kadomtsev–Petviashvili system, including the Kadomtsev–Petviashvili equation, modified Kadomtsev–Petviashvili equation and Schwarzian Kadomtsev–Petviashvili equation. The matrix provides -function by = | + |. With the help of some recurrence relations, the reductions to the Korteweg–de Vries and Boussinesq systems are discussed.
PACS:
02.30.Ik; 05.45.Yv; 02.10.Yn
1. Introduction
The Sylvester equation [,,]
also named the Rosenblum equation in control theory, has become a subject of considerable interest in recent decades. In (1), , , are known matrices and is an unknown matrix. The significance of Equation (1) comes from its important applications in many areas of applied mathematics, as well as in systems and control theory, signal processing, filtering, model reduction, image restoration, and so on. The Equation (1) includes as special cases several important linear equation problems, e.g., linear system , multiple right-hand side linear system and commuting matrices . So far, many efforts have been made to solve the Sylvester Equation (1) and to discuss its properties and applications. In [], Bhatia and Rosenthal investigated lots of interesting and important theoretical results on this equation, including similarity, commutativity, hyperinvariant subspaces, spectral operators and differential equations, and so forth.
With the help of the Sylvester equation, many methods have been introduced to solve the integrable system, such as the operator method [,], the bidifferential calculus approach [], a method based on Gel’fand-Levitan-Marchenko Equation [], the direct linearization (DL) method [,] and the Cauchy matrix (CM) approach []. As a by-product of the DL method, the CM approach was first proposed by Nijhoff and his collaborators to investigate soliton solutions of the Adler–Bobenko–Suris lattice list except for the elliptic case of Q4. This scheme proves to be a powerful tool with the ability to provide integrable equations together with their soliton solutions, and amongst others, Lax representation, Bäcklund and Miura transformations. Subsequently, this method was extended to the elliptic case []. In [], a generalized CM approach was developed to yield more types of exact solutions for the Adler–Bobenko–Suris lattice list beyond the soliton solutions. Up until now, the CM method has been used to investigate many discrete and semi-discrete integrable systems [,].
Besides the discrete and semi-discrete integrable systems, the CM structure is also valid in the study of continuous integrable systems. In [], the links between Cauchy-type determinants and integrable systems were described, where the Sylvester equation with a Jordan-block type coefficient matrix was discussed emphatically. Xu et al. [] took advantage of the CM approach to discuss the relations between the Sylvester equation
with , , and some continuous integrable equations, including the KdV, modified KdV, Schwarzian KdV and sine-Gordon equations.
They showed that all these equations arose from the Sylvester Equation (2) and could be expressed by some discrete equations of master function , defined on certain points. Equation (2) corresponds to and being of rank 1 in (1), where and whereafter stands for the transpose of matrix and means the unit matrix. The master function possesses a symmetry property with respect to i and j, namely, .
Following a similar procedure, the CM approach for an AKNS system was considered in []. The relevant Sylvester equation reads
where and are block matrices in the form of
with , , , , and . This corresponds to and being of rank 2 in (1).
In recent years, relations between the Sylvester equation and higher-dimensional integrable systems have drawn more and more attention. In [], solutions to the Kadomtsev–Petviashvili (KP) equation were given in the form , and the Sylvester equation appeared in the solving procedure. Based on a Sylvester Equation [], some lattice KP-type equations were discussed, comprising lattice potential KP equation, lattice potential modified KP equation, lattice Schwarzian KP equation and lattice KP-type Nijhoff–Quispel–Capel equation []. In the recent paper [], the DL was established for the discrete AKP, BKP and CKP equations, extending the earlier results on discrete KP equations of A-type []. Subsequently, continuous hierarchies for the AKP, BKP and CKP equations as well as their dimensional reductions were also discussed in terms of the DL framework. In reductions of the BKP and CKP hierarchies, the reduced measures admit antisymmetry and symmetry property, respectively []. It is worth noting that the Sylvester equation was also developed to study some interesting higher-dimensional physical models, such as a Yajima–Oikawa system, a Mel’nikov model and a self-dual Yang–Mills equation (see [,,]). In [], based on the Sylvester Equation (3), Li et al. investigated the master function and revealed that this function has the symmetric property , where is a Pauli matrix.
In this paper, motivated by the CM approach and the understanding between the Sylvester equation and discrete KP system, we would like to adopt the CM approach to explore the links between the Sylvester equation and nonlinear KP system. A Sylvester equation will be introduced firstly, in terms of which some properties of the master function will be discussed. Next, we will impose the evolution relations on vectors and , from which the evolution relations for master function will be obtained. Moreover, by setting values of indices i and j, some KP-type equations, including the KP equation, modified KP equation and Schwarzian KP equation, will be constructed. Furthermore, the connection between and -function will be also shown. In view of some special forms of matrices and , we will discuss the reduction in the KP system. As a consequence, the KdV and BSQ systems will be considered.
The paper is organized as follows. In Section 2, we first set up the Sylvester equation. In addition, we introduce the master function and discuss some properties. In Section 3, for different values of i and j, we construct KP-type equations. Section 4 is devoted to the discussion on the reduction of the KP system. Some conclusions are made in Section 5. Additionally, we have an Appendix A as a compensation of the paper.
2. The Sylvester Equation and Master Function
2.1. The Sylvester Equation
The solvability of the Sylvester Equation (1) can be summarized as the following Proposition [].
Proposition 1.
Let us denote the eigenvalue sets of matrices and by and , respectively. For the known matrices and , the Sylvester Equation (1) has a unique solution if and only if .
With some more conditions on and , solution of (1) can be expressed via series or integration [] (see also Ref. []).
In the present paper, we consider a Sylvester equation in the form of
where , , , and . Equation (5) corresponds to being of rank 1 in (1) and has unique solution when . In the remaining portion of this section, we assume that and satisfy such conditions and , i.e., and are invertible constant matrices. In a discrete case, the Sylvester Equation (5) has been used to construct the lattice KP system and their various solutions [], where and satisfy some discrete evolution equations.
2.2. Master Function and Some Properties
2.2.1. The Definition of
By the Sylvester Equation (5), we now introduce master function
where is an arbitrary constant matrix, such that the product is a square matrix. The (6) first appeared in [] to construct the lattice KP-type equations. In what follows, we will show that the master function can be also used to generate the nonlinear KP system. For convenience, we introduce an auxiliary vector function
Then defined in (6) can be simplified to
It is noteworthy that is not symmetric w.r.t. the interchange of the parameters i and j, i.e., , which is different from that in the KdV case [].
In the following sections, we discuss some properties of the master function .
2.2.2. Similarity Invariance of
Now suppose that matrices and are similar to and , respectively, under the transform matrices and , i.e.,
We denote
2.2.3. Identities of
With some special relations between matrices and , one can derive several important equalities for the master function , which will be used in Section 4. Here we suppose the orders of matrices and are the same, i.e., , and the constant matrix in (6) is the Nth order unit matrix.
Proposition 2.
Assuming , then for the master function with satisfying the Sylvester Equation (5), we have the following relation
In particular, when , we have
The proof of Proposition 2 can be referred to Ref. []. The relation (11) firstly appeared in a discrete case [] and plays a crucial role in the construction of the KdV system []. It is worth noting that the master function in Proposition 2 is of form
which has the symmetric property when is an even number and antisymmetric property when is an odd number [,].
Besides the above case, we have the following two results, where parameter satisfies .
Proposition 3.
Assuming , then for the master function with satisfying the Sylvester Equation (5), we have the following relation
In particular, when , we have
Proposition 4.
The proofs of Proposition 3 and Proposition 4 are similar to the one for Proposition 2, which are omitted here.
3. The KP System
3.1. Evolution of M
We suppose the following evolution equation set
where and are functions of while and are non-trivial constant matrices.
We now discuss the dynamical properties of matrix , i.e., the evolution relations of w.r.t. independent variables. The derivative of the Sylvester Equation (5) w.r.t. x together with (15) yields
which gives rise to the relation
in light of Proposition 1.
The y-derivative of Equation (5) leads to
where in the last step the term is replaced by . Then we obtain
which can be rewritten as
Analogous to the earlier analysis, we deduce that the time evolution of is of form
3.2. Evolution of
To begin, we take into account the dynamical properties of the vector function defined by (7). It follows from (7) that equation
holds identically. Substituting (15) and (18) into the x-derivative of Equation (23) yields
which implies
where relation (8) has been used. After a similar analysis as aforementioned, we arrive at the evolution of in y, t-directions
Multiplying (24), (25) and (26) from the left by the row vector and noting the Equations (15), (16), (17) and the connection (8) between and , we have the evolution relations of :
Some higher-order derivatives of can be readily obtained w.r.t. independent variables from the above relations by iterate calculation. Here, we just present the expressions of , and as follows:
The relation (27) implies that the following identities
hold. Thus, the subtraction of (33) from (34) leads to
Plugging (35) into (28) and utilizing
we finally arrive at
where and relation (39) is derived from (38) by taking y-derivative. All the relations in (27), (28), (29), (30), (31), (32), (33), (34), (35), (36), (37), (38) and (39) can be viewed as semi-discrete equations when the parameters i and j are recognized as discrete independent variables.
3.3. The KP System
From the evolution relations (27), (28), (29), (30), (31), (32), (33), (34), (35), (36), (37), (38) and (39), various KP-type equations can be constructed for special values of the parameters i and j, including KP equation, modified KP equation and Schwarzian KP equation. Analogue to the discrete case [,], we will show that the master functions , , and will be the generating functions for the resulting equations.
3.3.1. The KP Equation
3.3.2. The Modified KP Equation
To derive the modified KP equation, we consider the following two cases:
For case (47), a new variable is introduced. Then some evolution relations in (27), (28), (29), (30), (31), (32), (33), (34), (35), (36), (37), (38) and (39) become
Substituting (57) into (55) and with a direct computation, we obtain the potential modified KP equation
By transformation , Equation (58) is transformed into a modified KP equation
which possesses the solution
where matrices and vectors , satisfy systems (5), (15), (16) and (17).
Noting that and , relation (57) implies
which is the Miura transformation between modified KP Equation (59) and KP Equation (45).
For case (48), we consider a new variable
whose various derivatives can be derived directly from (27), (28), (29), (30), (31), (32), (33), (34), (35), (36), (37), (38) and (39) with :
A straightforward calculation yields equations
where and are defined by (40) and (56). Similarly, taking (70) into (69), we derive one more potential modified KP equation
3.3.3. The Schwarzian KP Equation
Let us examine the equation related to function . We introduce
Setting in (27), (28), (29), (30), (31), (32), (33), (34), (35), (36), (37), (38) and (39) yields the following expressions:
where in (77) and (80), we have made use of the relations (49) and (63). By a forward calculation associated with (76) and (80), we have
where and are defined by (53) and (67), respectively. It is worth pointing out that (81) is the Schwarzian KP equation [], which has solution
where matrices and vectors , satisfy system (5), (15), (16) and (17).
3.4. The -Function
To discuss the bilinear structure of the KP system, we introduce the -function
for which the following result holds.
Proposition 5.
4. Reductions
As we all know, the KdV equation and BSQ equation can be derived from the KP equation by imposing dimensional reductions. In this section, the reduction of the resulting KP system given in Section 3.3 will be carried out by taking constraints on matrices and in system (5), (15), (16) and (17). As a consequence, the KdV system and BSQ system will be obtained. For this purpose, we take in system (5), (15), (16) and (17), while in scalar function .
4.1. Reduction to the KdV System
The CM approach for the KdV system has been discussed in Ref. []. To derive the KdV system from the KP system by reduction, we suppose . Then systems (5), (15), (16) and (17) lead to the equation set
and in (6) is of the form
Comparing the equality (11) with (28), we have . Hence, the KdV system can be obtained immediately from the KP systems (45), (59), (72) and (81). We list these equations as follows.
KdV equation:
of which the solution is given by
Modified KdV equation: It follows from the anti-symmetric property that . Thus, both modified KP Equations (59) and (72) are reduced to the same modified KdV equation
of which the solution is given by
A natural fact is that (61) and (74) are reduced to the Miura transformation between the modified KdV Equation (95) and KdV Equation (93), i.e.,
Schwarzian KdV equation:
of which the solution is given by
4.2. Reduction to the BSQ System
Now the reduction to the BSQ system will be carried out due to different relations between and . We consider the following two cases.
Case 1:, where is defined in Proposition 3. In this case, systems (5), (15), (16) and (17) become
and in (6) reads
Noting the equality (14) and the expression of given in (29), we find . The KP systems (45), (59), (72) and (81) thereby are reduced to the BSQ system. We list these equations as follows, where y can be viewed as a temporal variable.
BSQ equation:
of which the solution is given by
Modified BSQ equation: The modified KP Equation (59) is reduced to the modified BSQ equation
of which the solution is given by
In this case, (61) becomes the Miura transformation between modified BSQ Equation (107) and BSQ Equation (105).
Naturally, (74) turns into the Miura transformation between modified BSQ Equation (109) and BSQ Equation (105).
Schwarzian BSQ equation:
of which the solution is given by
The Miura transformations between modified BSQ Equation (107) and Schwarzian BSQ Equation (111), respectively, modified BSQ Equation (109) and Schwarzian BSQ Equation (111), are in (83) and (84) . In (106), (108), (110) and (112), and are determined by equation set (100), (101), (102) and (103).
Case 2: Supposing
where with , then for the object (6) defined by systems (5), (15), (16) and (17), we have Proposition 4, which implies . Consequently, the KP systems (45), (59), (72) and (81) still, respectively, lead to BSQ Equation (105), modified BSQ Equations (107), (109) and Schwarzian BSQ Equation (111).
Although the reduced BSQ system of Case 1 is the same as the one of Case 2, the exact solutions for these two cases are totally different. Similar to discrete case [,], in Case 1 only contains one kind of plane wave factor, while Case 2 has two kinds of plane wave factors.
5. Conclusions
In the present paper, a more general Sylvester Equation (5) than the one in Ref. [] is proposed to investigate the KP system. The Sylvester equation utilized here shares the same form as the discrete case []. By the Sylvester Equation (5), we define a master function , where an arbitrary constant matrix is introduced to guarantee the order of product . With some evolution relations of vectors and , various evolution relations of are presented. Furthermore, by some special values of i and j, KP type equations, including a KP equation, modified KP equation and Schwarzian KP equation, are derived. In addition, the Miura transformations among these equations are also obtained. The procedure shown in present paper can be viewed as a continuous version of the CM approach in the discrete case []. By imposing some constraints on matrices and , various equalities of are proposed, by which the reductions of the KP system to KdV and BSQ systems are considered. The details for solving the Sylvester Equation (5) have been shown in [], which are listed in the Appendix A.
When vectors and in systems (5), (15), (16) and (17) are replaced by matrices, then matrix KP system or noncommutative KP system can be constructed, which will be considered in the future. By means of a CM approach, elliptic soliton solutions to the lattice KdV system, ABS lattice and lattice KP system have been constructed by Nijhoff and his collaborators in recent papers [,]. It is of great interest to discuss the elliptic soliton solutions for continued integrable systems by utilizing this method, which will be one part of the ongoing research in this area.
Author Contributions
W.F.: writing—original draft preparation, investigation, formal analysis, validation; S.Z.: methodology, editing, validation, supervision. All authors have read and agreed to the published version of the manuscript.
Funding
This project is supported by the National Natural Science Foundation of China (Nos. 12071432, 11401529) and the Natural Science Foundation of Zhejiang Province (Nos. LY18A010033, LY17A010024).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
We are very grateful to the reviewers for their invaluable and expert comments.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A. Exact Solutions to Systems (5), (15), (16) and (17)
Because of the invariance of under any similar transformation of and (see Section 2.2.2), here we only need to consider the following canonical equation set (see []):
where and are, respectively, the Jordan canonical forms of and . Corresponding to solvability condition , hereafter we suppose . Among the equation set (A1), (A2), (A3) and (A4), evolution Equations (A2), (A3) and (A4) are used to determine plane wave factor vectors and , and the Sylvester Equation (A1) is used to define matrix .
The solutions to the Sylvester Equation (A1) have been discussed systematically in the recent paper [], where matrix was factorized into for matrix , matrix and matrix . Without showing the details, here we simply present some of the main results of solutions to the equation set (A1), (A2), (A3) and (A4).
We list some special matrices below:
- Diagonal matrices:
- Jordan block matrices:
- Lower triangular Toeplitz matrix: [,]
- Skew triangular Toeplitz matrix:
Meanwhile, the following expressions need to be considered:
where
Theorem A1.
When Γ and Λ are taken as
with and , then we have solutions
and , where
and possesses block structure
with
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