Abstract
A unified framework is presented for the solution structure of three-dimensional discrete integrable systems, including the lattice AKP, BKP and CKP equations. This is done through the so-called direct linearizing transform, which establishes a general class of integral transforms between solutions. As a particular application, novel soliton-type solutions for the lattice CKP equation are obtained.
Keywords: direct linearizing transform, discrete integrable system, discrete AKP equation, discrete BKP equation, discrete CKP equation, soliton
1. Introduction
Discrete integrable systems have played an increasingly prominent role in both mathematics and physics during past decades [1]. The theory of discrete integrable systems has made important contributions to other areas of classical and modern mathematics, such as algebraic geometry, discrete geometry, Lie algebras, cluster algebras, orthogonal polynomials, quantum theory, special functions and random matrix theory.
Discrete equations in a sense play the role of master equations in integrable systems theory. They encode entire hierarchies of corresponding continuous equations and can be understood as the Bianchi permutability property and Bäcklund transforms of both continuous and discrete equations. Furthermore, they have considerable significance in their own right, in view of the rich algebraic structure behind them.
A key feature of the integrability of discrete systems is the phenomenon of multidimensional consistency (MDC)—the property that a lattice equation can be consistently extended to a family of equations by introducing an arbitrary number of discrete independent variables with their corresponding lattice parameters [2,3]. The MDC property was later employed to classify scalar affine-linear quadrilateral equations [4] and octahedral equations [5] by Adler, Bobenko and Suris.
At the current stage, three-dimensional (3D) integrable lattice equations are often considered as the most general models in discrete integrable systems theory—two-dimensional (2D) and one-dimensional (1D) discrete integrable systems can normally be obtained from dimensional reductions of 3D equations. In fact, the algebraic/solution structures behind 3D lattice equations are much richer and sometimes they provide us with insights into the study of discrete integrable systems, while on the 2D/1D level a lot of key information collapses and the integrability sometimes cannot be easily determined. Under the assumption of the MDC, there are three important scalar models of the Kadomtsev–Petviashvili (KP) type in the 3D theory, namely the lattice AKP, BKP and CKP equations, which are the discretizations of the famous continuous (potential) AKP, BKP and CKP equations
| AKP |
| BKP |
| CKP |
Here, the letters ‘A’, ‘B’ and ‘C’ refer to the different types of infinite-dimensional Lie algebras which are associated with their respective hierarchies following the work of the Kyoto school (see [6] and references therein). The lattice AKP equation was first given by Hirota [7] in the discrete bilinear form and, therefore, it is also known as the Hirota equation (also referred to as the Hirota–Miwa equation due to Miwa’s reparametrization [8] for its soliton solution). The lattice AKP equation is related to other nonlinear forms, which can be referred to as the lattice KP equation [9,10], the lattice modified KP (mKP) equation [10,11] as well as the lattice Schwarzian KP (SKP) equation—a lattice equation in the form of a multi-ratio [12]. The lattice BKP equation was derived by Miwa [8] (therefore also referred to as the Miwa equation) as a four-term bilinear equation and its nonlinear form in terms of multi-ratios was later given by Nimmo & Schief [13] (see also [14]). The lattice CKP equation was obtained from the star-triangle transform in the Ising model by Kashaev [15] based on the idea of non-local Yang–Baxter maps [16]. It was named CKP by Schief [17], who revealed that Kashaev’s lattice model is the superposition property of the continuous CKP equation.
We note that the MDC property of the Hirota–Miwa equation and the Miwa equation, i.e. the lattice AKP and BKP equations, can be proved by direct computation; however, the MDC property of the lattice CKP equation (as an equation in multi-quadratic form) is highly non-trivial and it was confirmed in [18]. Alternatively, Atkinson [19] established the MDC property of the lattice CKP equation by using discriminant factorization. The reductions of the lattice KP-type equations give rise to a large number of lower-dimensional integrable models (e.g. [1] and references therein). In particular, the ultradiscretizations of the reduced 2D integrable lattice models as well as the Yang–Baxter maps can be obtained from them [20,21].
The lattice AKP, BKP and CKP equations have been considered from the perspective of the underlying geometry in [17,22–28]. In this paper, we propose a unified framework for the solution structure of these equations. The latter will comprise the structure of soliton-type solutions and those related to non-local Riemann–Hilbert problems. As a particular by-product, we obtain novel soliton solutions to the lattice CKP equation. The approach we adopt is the direct linearization (DL) method, which was proved to be very effective in establishing solution structures of many integrable equations and their interrelations [9,10,29–31].
The starting point in the DL is a linear integral equation. In the 3D case, we need a singular non-local integral equation which reads
| 1.1 |
where dζ(l,l′) is a certain measure for the double integral on an integration domain D in the space of the spectral variables l and l′, and the wave function uk is an infinite vector with its entries as functions of discrete dynamical variables as well as the spectral variable k and ck is also an infinite vector with its ith component ki. Here Ωk,l′ is called the Cauchy kernel, while ρk and σl′ are the plane wave factors. The key point in this approach is that the measure dζ(l,l′) depends on l and l′ and, therefore, a double integral must be involved. Once the measure collapses, the integral equation turns out to be a local Riemann–Hilbert problem and 2D integrable lattice equations arise.
A more general form of the DL is the direct linearizing transform (DLT) (see [32,33]), which plays the role of a dressing operation in the framework. Concretely, the DLT is a linear transform that maps a solution of the linear problem to another, and simultaneously its nonlinear counterpart also brings a solution of the nonlinear equation to a new solution, i.e. one can start from a seed and then generate more and more complicated solutions by iteration. Particularly when the free wave is chosen to be the seed of the linear problem, the problem turns out to be the integral equation (1.1), which brings us the nonlinear equation together with its solutions.
We establish a general DLT for 3D lattice equations through a structure of infinite matrices, which provide a natural framework for extracting the relevant quantities in the theory. The kernel of the integral transform, which is defined as the sum of a lattice 1-form over a path in the lattice, itself satisfies an integral equation, which in turn implies that the DLT for 3D lattice equations obeys a group-like property tantamount to the integrability of the scheme. The crucial aspect of the path independence of the kernel is equivalent to a closure relation in our infinite matrix structure; it is this closure relation that forms the key condition on the construction of various 3D discrete integrable systems. As the three prominent scalar 3D integrable lattice equations, the lattice AKP, BKP and CKP equations emerge from the scheme together with their associated linear problems. Soliton solutions are obtained by specifying appropriate integration measures and domains.
The paper is organized as follows: in §2, we establish the DLT for general 3D discrete integrable systems and its relation to the DL. Sections 3–5 are contributed to the lattice AKP, BKP and CKP equations, which correspond to the three particular cases under the general framework of the DLT. In §6, soliton solutions to the lattice AKP, BKP and CKP equations are given from the scheme.
2. A general framework: direct linearizing transform
(a). Infinite matrices and vectors
Infinite matrices and vectors are the key ingredients in the framework. A matrix/vector is normally understood as an array of numbers, symbols, etc. In fact, such a visualization is not necessary for describing the essential structure of matrices and vectors; therefore, we here present an alternative which is more suitable for the purpose of this paper. This involves the use of infinite ‘centred’ matrices, which are built by means of objects (generators) Λ, tΛ and O in an associative algebra (with unit) over a field , obeying the relation
| 2.1 |
where the powers tΛi and Λj are the ith and jth compositions of tΛ and Λ, respectively, and δ⋅,⋅ is the usual Kronecker symbol. In general, Λ, tΛ and O do not commute, but from (2.1) it can be seen that Λ and tΛ act as each other’s transpose, while O is a projector satisfying O2=O. An, in general, infinite matrix U is defined as
| 2.2 |
where the coefficients Ui,j take values in the field . The Ui,j can be understood as the (i,j)-entry in the infinite matrix and forms a basis. In particular, O itself can be visualized as an infinite matrix having the (0,0)-entry 1 and all the other entries zero. Following from (2.1), we can show that operations of these infinite matrices such as addition, multiplication of two infinite matrices as well as scalar multiplication of an infinite matrix by obey the following rules:
In addition, the transpose of U is defined as . The action ( ⋅ )0,0 on an arbitrary infinite matrix defines the centre of the matrix U by taking the coefficient of Λ0⋅O⋅tΛ0, i.e. (Λi⋅U⋅tΛj)0,0=Ui,j. In particular, we have the following formula:
In fact, from definition (2.2), one can also observe that Λ and tΛ play the role as index-raising operators from the left and from the right, respectively, as we have
We note that definition (2.2) also covers finite matrices by restricting the number of non-zero coefficients to a finite number, i.e. Ui,j=0 for i≠1,2,…,N or j≠1,2,…,N′ for some given N and N′, resulting in an N×N′ finite matrix given by .
Following from the same idea, we also introduce infinite vectors as follows. Suppose that o and to are two objects obeying the relations
| 2.3 |
where and objects o, to, Λ and tΛ do not commute with each other, in general. An infinite vector u and its transpose tu are defined as
| 2.4 |
where ui are elements in the same field , which implies that o and to are a particular infinite ‘centred’ vector and its transpose that have the 0th component (i.e. the centre) 1 and all the other components zero. The sets and form the respective bases for infinite vectors and their transpose. For two arbitrary infinite vectors and , where ui,vj are elements from the field and for arbitrary also from , we have the basic operations for infinite vectors as follows:
as they can be derived immediately by considering the rules in (2.3). The operations obey the same rules (except i,j are now chosen from ) as those for finite vectors. In fact, the case of N-component (column and row) vectors is obtained by the restriction ui=0 for i≠1,2,…,N, leading to and . For infinite vectors, we define the action ( ⋅ )0 by taking the coefficient of Λ0⋅o and of to⋅tΛ0 for u and tu, respectively, namely (Λi⋅u)0=ui and (tu⋅tΛj)0=uj. The action of Λ and tΛ as index-raising operators can be most clearly seen by introducing monomial eigenvectors ck and tck′ defined by
| 2.5 |
from which it implies that the ith components for the eigenvectors are ki and k′i, respectively. The monomial basis allows us to encode k- and k′-dependent objects that occur in the integral equation (1.1) in terms of infinite matrices and vectors and work with them conveniently in a formal manner.
Following the rules (2.1) and (2.3), the multiplication of an infinite matrix and an infinite vector is also well defined and it obeys exactly the same rule as that in the theory of finite matrices and vectors. Some examples involving both infinite matrices and vectors are given below:
In the approach, we also need the notion of trace and determinant of an infinite matrix, but only in the case when they involve the projector O. Thus, we have for the trace Tr(U⋅O)=Tr(O⋅U)=(U)0,0 and for the determinant
| 2.6 |
where we treat U⋅o and to⋅V as an infinite column vector and an infinite row vector, respectively, and (2.1) and (2.3) are used. This identity is a version of the well-known Weinstein–Aronszajn formula in the rank 1 case, evaluating the determinant of an infinite matrix in terms of a scalar quantity.
(b). Direct linearizing transform for three-dimensional lattice equations
We consider an infinite-dimensional regular lattice spanned by discrete coordinates (called the lattice variables) n1,n2,n3,… (for the sake of this paper, taking integer values), each of which is associated with a corresponding lattice parameter pγ taking values in the reals or the complex numbers (we can think of pγ as representing a grid width parameter in the nγ-direction of the lattice). A discrete shift operator is defined as follows. Suppose f=f(n1,n2,n3,…) is a function of the discrete independent variables {n1,n2,n3,…}; the discrete forward shift operator Tpγ and the discrete backward shift operator are, respectively, defined by
For a 3D discrete integrable system, we only need three discrete independent variables. Thus, we can choose an arbitrary triplet (nα,nβ,nγ) from {n1,n2,n3,…} as the discrete variables and (pα,pβ,pγ) is the corresponding triplet for the associated lattice parameters.
We consider a family of linear equations taking the form of
| 2.7 |
where the wave functions uk and tuk′ are an infinite column vector and an infinite row vector, respectively, composed of corresponding entries and as functions of the discrete independent variables {n1,n2,n3,…} and of certain spectral parameters k and k′ which take values in the complex numbers (we prefer to denote the dependence on k and k′ in uk, tuk′ by suffixes in order to make it more visible). The potential U is an infinite matrix with entries Ui,j as certain functions of only the discrete independent variables {n1,n2,n3,…}. The operators and are expressions of Λ and and tΛ and , respectively, and is an expression of the operators Λ, tΛ and O associated with the lattice parameter . We note that while the commute among themselves for arbitrary , and so do the , they do not commute with the . This follows from the commutativity and non-commutativity of Λ, tΛ and O.
It is not obvious that (2.7) constitutes a compatible system of linear equations, i.e. they can be imposed simultaneously on one and the same function uk or tuk′, respectively. The compatibility of the system depends sensitively on the choice of , and . The aim is to find choices of these operators for which the compatibility holds and the framework that we set up in this subsection gives necessary conditions for selecting such operators. Furthermore, the requirement of compatibility also imposes conditions on the coefficient matrix U; namely, for each triplet (pα,pβ,pγ), the compatibility conditions TpαTpβuk=TpβTpαuk and TpβTpγuk=TpγTpβuk lead to a formal 3D lattice system for the infinite matrix U with entries as functions of the triplet (nα,nβ,nγ) chosen from the {n1,n2,n3,…}
| 2.8a |
| 2.8b |
At this juncture, we need to point out that (2.8) can only be considered as a closed-form lattice equation in the sense of the infinite matrix U, but it is not closed-form for individual entries in the matrix, since the operators , and in general contain the index-raising operators Λ and tΛ. Thus, in order to obtain closed-form 3D lattice equations for the entries of U, the latter operators must be eliminated. In §§3–5, we specify the operators , and and derive the corresponding closed-form lattice equations. What we do here is to set up the solution structure behind these equations, which will make transparent the integrability in the sense of the MDC property.
Let us explain what we mean by the MDC property in this context. Consider an, in principle infinite, family of equations arising from (2.8), each involving a triplet (pα,pβ,pγ) as lattice parameters and an associated triplet (nα,nβ,nγ) as lattice variables arbitrarily chosen from the infinite sets of lattice parameters and variables and . The MDC is the property that this family admits a non-trivial common solution involving an arbitrary number of free parameters (different from the lattice parameters). In the following, we show that the MDC property is only guaranteed when , and satisfy certain conditions which are governed by the DLT.
We introduce the DLT, namely a linear transform from the given wave functions to new wave functions uk,tuk′ in the form of
| 2.9 |
in which D is a suitable integration domain and dζ(l,l′) is the measure. and Gl,k′ are the kernel of the DLT that must obey a certain condition which will be given later. The idea of the DLT is that the transform must preserve the structure of the linear equations in (2.7), i.e. if we start from an old solution , to (2.7) together with U0, the new uk and tuk′ that follow from the linearizing transform (2.9) must satisfy the same linear problem associated with a new U. Such a requirement leads to the fact that the kernel G must obey
| 2.10 |
for any , which implies that it is defined as
| 2.11 |
where Γ is an arbitrary path from the initial point P to the ending point X in the lattice and the path must follow the lattice directions (see figure 1 as a particular case when the path is sitting in a 3D lattice spanned by the coordinates nα, nβ and nγ). Simultaneously, there is also a nonlinear counterpart of the DLT (2.9) that must hold; namely, a transform between the old U0 and the new U, which is given by
| 2.12 |
The transform (2.12) together with the equations in (2.7) also imply that U must obey
| 2.13 |
The above relation is a nonlinearized version of (2.7) and it describes how the nonlinear quantities U and U0 evolve along the lattice directions. And it can also bring us closed-form 3D lattice systems by selecting a certain entry (for scalar 3D lattice equations) or several certain entries (for coupled 3D lattice systems) of the infinite matrix U once the initial condition U0 is given—the simplest choice is U0=0 as we can easily observe that from (2.8).
Figure 1.

An arbitrary path Γ in the 3D lattice space.
Equation (2.9) together with (2.12) constitute a dressing method for solving the 3D lattice nonlinear equation (2.8). We can start from a seed of the nonlinear equation, say U0; then (2.7) can be solved and we obtain its seed solution and . Next, the kernel can be calculated from (2.11). Then, the linearizing transform (2.9) gives us the new solution uk to the linear problem, and, consequently, the new solution U to the nonlinear equation can be worked out from (2.12). We can repeat the procedure from the obtained new solution and create more and more complicated solutions by iteration. The iteration can be illustrated in the diagram as follows:
| 2.14 |
The DLT procedure including (2.9) and (2.12) provides a way of generating solutions to (2.8), starting from an initial solution. In order to find non-trivial solutions admitting infinitely many degrees of freedom which can solve all the discrete equations for U in the family (i.e. the MDC property), we must have that the kernel G in the DLT given by (2.11) is path-independent, namely a closure relation at each stage in the dressing
Following from (2.10) and making use of (2.7), one can from the above relation derive a closure relation for , and by eliminating and (but reserve and uk). The statement can be made as follows.
Proposition 2.1. —
A 3D lattice equation from (2.8) possesses the MDC property if the operators , and obey the closure relation
2.15
The statement holds because the closure relation (2.15) is equivalent to the path independence of the kernel G; namely the DLT preserves the structure of the family of the linear equations (2.7) as well as the family of the nonlinear equations (2.8). In other words, a general solution solving the hierarchy of the discrete equations in U can be obtained from the DLT if we start from a common seed solution, i.e. the zero solution U0=0, where an arbitrary number of degrees of freedom can be introduced (from the measure) during the DLT iteration (2.12); see §6 for soliton solutions.
Another comment is that equation (2.15) needs to be understood as an equation for the triplet . Since it is not fully determined, it might be difficult to find its general solution. Nevertheless, one needs to keep the commutativity and non-commutativity properties of the operators in mind and some particular solutions can be expected from the closure relation. In fact, any solution of the closure relation (2.15) can result in a 3D integrable lattice equation and we shall see in the following sections that even some simple solutions can generate highly non-trivial 3D discrete integrable systems.
We can see from the dressing procedure that the kernel G of the DLT is the key quantity in the approach. In fact, it possesses a very important property, namely that the kernel itself obeys a closed relation. We propose the statement in the following lemma.
Lemma 2.2 —
The kernel G of the DLT itself obeys an integral equation
2.16
Proof. —
We can expand Gk,k′ following definition (2.11) and replace uk and tuk′ by and , respectively, according to the DLT (2.9). Thus, one obtains
where X denotes the argument {n1,n2,n3,…}; X′ and X′′ denote summed over positions along the paths and , respectively, and T⋅ is the elementary discrete shift associated with the lattice parameters and governed by the paths. The identity that one needs for the proof is
2.17 where ep′ and ep′′ are elementary discrete shifts and A, B are functions defined on the infinite-dimensional lattice. We note that the identity is nothing but a discrete version of integration by part. Now, the double summation in the above equation of G can be reformulated as a product of two summations and the right-hand side of the equation turns out to be
which implies that the integral equation of G holds if one follows definition (2.11). ▪
With the help of (2.16), one can actually establish a group-like property for the general DLT. We propose it in the following theorem.
Theorem 2.3 —
The DLT for a 3D lattice equation, i.e. (2.9) and (2.12), satisfies a group-like property (figure 2) in the sense that for two arbitrary DLTs
with respect to the domains and the measures (D10, dζ10(l,l′)) and (D21, dζ21(l,l′)), respectively, the transform between and is as follows:
where
Figure 2.
Group-like property of the DLT.
Proof. —
One just needs to eliminate and in the dressings ‘’ and ‘’ and simultaneously replace G1 by G0 (or G2), using (2.9) as well as the integral equation (2.16). ▪
Theorem 2.3 brings to light the underlying integrability of the structure. In fact, it implies that solutions from successive applications of the DLT are compatible.
Furthermore, we note that sometimes the τ-function is considered as a fundamental quantity which describes the algebraic structure behind an equation in the integrable systems theory, and it can be introduced within the framework of the DLT [34]. However, in the infinite matrix structure of the DL, the τ-function can be defined in a direct way. For this purpose, in the next subsection, we recover the DL from the DLT.
(c). Infinite matrix structure of the direct linearization
To recover the DL from the DLT, the seed solutions must be chosen to be free wave functions. In fact, we choose as the seed solution to the nonlinear equation the zero solution U0=0. Then the corresponding (free wave) solutions , are obtained from the linear problem (2.7) setting U0=0, and they take the form of and , respectively, where ck and tck′ are the monomial eigenvectors defined in (2.5), and the plane wave factors ρk and σk′, as functions dependent on the lattice variables and parameters nγ and pγ, and also the spectral parameters k and k′, respectively, are defined by
| 2.18 |
Now we define the operator Ω, an expression of Λ, tΛ and O which is independent of the lattice parameter , by the following:
| 2.19 |
The Cauchy kernel can immediately be recovered from the operator Ω as follows:
| 2.20 |
From the definition of the Cauchy kernel (2.20), it is obvious that the operator Ω is the infinite matrix form of the Cauchy kernel. However, we note that the infinite matrix form is much more convenient for us to deal with the computation in practice. With the free waves and the Cauchy kernel, we can now explain the kernel of the DLT in this special case. In fact, making use of (2.19) and (2.20) one can show that
| 2.21 |
in which the initial point P is set to be (for the sake of soliton-type solutions) in the summation along the path in order to get rid of the constant of summation. This tells us that is a quantity containing both the Cauchy kernel and the plane wave factors. More precisely, the special case brings the DLT (2.9) back to the integral equation (1.1). With the help of the infinite matrix structure, it also makes it possible for us to rewrite the integral equation (1.1) in a more compact form, namely
| 2.22 |
where as it follows from (2.12) when U0=0. The linear equation (2.22) also leads to a similar relation for the infinite matrix U,
| 2.23 |
where the infinite matrix C is given by
| 2.24 |
The quantity C is an analogue of the free wave functions in the infinite matrix structure, which can be understood as a linear version of U. For arbitrary , the infinite matrix C satisfies the dynamical relation
| 2.25 |
Its nonlinear counterpart, i.e. the dynamical relation for the infinite matrix U, can naturally be obtained from the transform of U (2.12) in the particular case of U0=0, which now takes the form of
| 2.26 |
Alternatively, such relations can also be derived from (2.23) together with (2.19) and (2.25).
Equation (2.26) is the fundamental relation for constructing closed-form scalar 3D lattice equations within the DL framework and it is fully characterized by the operators , as well as . The operators are determined by the closure relation (2.15), as we have pointed out in the previous subsection. In the next three sections we consider several particular solutions to the closure relation and show that they surprisingly lead to the well-known lattice AKP, BKP and CKP equations.
3. The lattice AKP equation
As it has been shown that only three discrete independent variables are sufficient to generate a 3D lattice equation from the DLT approach and the obtained lattice equation possesses the MDC property, from now on we fix on the discrete independent variables and the associated lattice parameters without losing generality. Some short-hand notations can be introduced for simplicity as follows. Suppose is a function defined on the 3D lattice, we identify , and with Tp, Tq and Tr, i.e.
and similarly the undershifts denote the backward shifts, namely
In order to consider a simple non-trivial solution to the closure relation (2.15), we assume that is independent of . The simplest choice is that . At the same time, we require that and linearly depend on the operators Λ and tΛ, respectively. For non-trivial 3D lattice equations, a simple but non-trivial choice is
| 3.1 |
and, as a result, the fundamental dynamical relations in (2.26) in this case now turn out to be
| 3.2 |
together with the other two relations by the replacements . The equation (3.2) together with the analogues associated with the other two lattice directions are the basic relations that describe the evolutions of the infinite matrix U. Closed-form scalar lattice equations in certain entries of U can be obtained from the relations. In order to find these lattice equations, we introduce
where z0=n/p+m/q+h/r. Since equation (3.2) is a relation for infinite matrices, we can consider [(3.2)]0,0, [(3.2)⋅Λ−1]0,0, [Λ−1⋅(3.2)]0,0 and [Λ−1⋅(3.2)⋅tΛ−1]0,0, respectively, and obtain some dynamical relations involving the above quantities. By eliminating other redundant variables, the following nonlinear 3D lattice equations, namely the lattice KP, mKP and SKP equations, are derived
| lattice KP |
| lattice mKP |
| lattice mKP |
| lattice SKP |
We note that the equations in v and w are both the lattice mKP equation, and the continuum limit of either gives us the fully continuous mKP equation. If fact, we can transfer one to the other by introducing a simple transform . In addition, if we consider s=(Λ−1⋅U−U⋅tΛ−1)0,0, another scalar closed-form equation can be found and is given by
| 3.3 |
The lattice KP, mKP and SKP equations as well as equation (3.3) are connected with each other via Miura-type transforms. As a remark, we note that the equations in v, w, z and s can be obtained separately by choosing the same and in (3.1) with slightly different , namely
| 3.4 |
respectively. One can even consider more complex with the same and and obtain other lattice equations, but they could only exist in multi-component form. In fact, all these lattice equations belong to the lattice AKP class because effectively they can all fit into (3.2) and, therefore, we can conclude that (3.2) together with its counterparts in the other lattice directions is the fundamental relation to understand the structure behind the lattice AKP equation.
There are some other important forms of the lattice AKP equation. For later convenience, we introduce the following new variables:
These quantities contain the parameters a and b and, therefore, they are more general and can degenerate to the previous main variables via suitable limits in terms of a and b. One of the most important quantities in the integrable systems theory is the τ-function; in the lattice AKP case it can be defined as . Here the determinant of the infinite matrix can be worked out according to what we have explained in §2. In fact, following from (2.19) and (2.25), we have the dynamical relations for Ω and C obeying
| 3.5a |
| 3.5b |
as well as the relations in terms of and . These dynamical relations help us to find the evolutions of the τ-function. Considering the dynamical evolution of the τ-function, one can obtain
and a similar relation for , where (2.6) is used. Therefore, we obtain the evolutions of the τ-function as follows:
| 3.6 |
where (3.5) is used in the derivation. We note that similar relations also hold for and . Now from (3.2), we can derive the dynamical relations for Wa by considering [1/(a+Λ)⋅(3.2)]0,0, i.e.
| 3.7 |
as well as the similar relations for and . Such relations give rise to the transform between u and τ (if we set a=p),
| 3.8 |
Similar relations for the other discrete shifts associated with the corresponding lattice parameters can be obtained in the same way. If we eliminate u and replace Wp, Wq and Wr by the τ-function, we end up with the discrete bilinear KP equation
| 3.9 |
namely the Hirota–Miwa equation (see [7,8]). Moreover, (3.2) also gives rise to
| 3.10 |
if we consider [1/(a+Λ)⋅(3.2)⋅1/(b+tΛ)]0,0. Eliminating Wa and V b in the relation then provides us with a more general 3D lattice equation, which reads
| 3.11 |
This is an extension of the lattice SKP equation which was given in [9]. The equation can be considered as the most general equation in the AKP class as suitable limits in terms of a and b of the equation lead to the lattice KP, mKP and SKP equations as well as the Hirota–Miwa equation (3.9). In fact, the parameters a and b can be understood as the two extra lattice parameters associated with two auxiliary discrete variables, and both a and b as well as p,q,r are on the same footing—this is guaranteed by the MDC property. One can therefore find a connection between Sa,b and the τ-function, which is given by
| 3.12 |
Now, we consider the linear problem of the lattice AKP equation. The linear equations (2.7) for the lattice AKP equation give us
| 3.13 |
which leads to the following equation if we take the centre of (3.13) and set ϕ=(uk)0:
| 3.14 |
and also the other two similar equations if we interchange . This is the Lax triplet of the Hirota–Miwa equation. In other words, the compatibility condition of (3.14) gives us (3.9). One comment here is that, if we eliminate the τ-function in the Lax triplet, we can obtain a nonlinear form of the lattice AKP equation without the lattice parameters, namely
| 3.15 |
which is nothing but the lattice mKP equation of v after a point transform.
In the lattice KP, mKP equations u and v are both potential variables; we would like to note that there also exists a non-potential form of the lattice KP equation. The lattice KP equation can be written in an alternative form, which reads
| 3.16 |
Owing to the above form of the lattice AKP equation, it is very natural for us to introduce the non-potential variables
| 3.17 |
and consequently a coupled system of P, Q and R can be derived from (3.16), i.e.
| 3.18 |
where the first equation is equation (3.16) itself and the other two follow from the definitions of P, Q and R directly. The system (3.18) can be treated as the lattice non-potential KP equation and it was proposed by Nimmo in [35]. Now for a scalar form, we first eliminate R and obtain , and then one can have the expression of P in terms of Q and consequently the expression of R in terms of Q,
Now if we express everything in Q, the system turns out to be a 10-point scalar lattice equation (figure 3) in the form of
| 3.19 |
It is this quintic equation which we refer to as the non-potential lattice KP equation and this scalar form, to the best of the authors’ knowledge, has not been given elsewhere. The Lax triplet of the equation can be obtained from (3.14) directly if we consider (3.17) and the expressions of P and R in terms of Q given above. We note that a different nonlinear form of the non-potential discrete AKP equation was given in [36], in which the equation is quartic but has 14 terms (compared with our quintic equation having 12 terms).
Figure 3.

The non-potential lattice AKP equation.
Before we move onto the lattice BKP and CKP equations, we would like to note that in the AKP class there exist several nonlinear integrable equations which are connected with each other through Miura-type transforms. In fact they are the same equation in different forms because the core part of the scheme, namely the form of the operators , and , has been fixed at the very beginning. In fact, all these equations share the same bilinear structure, namely the Hirota–Miwa equation. In order to understand and compare equations in different classes, we need a uniformizing quantity to characterize the algebraic structure behind the 3D lattice equations. The τ-function could be a very strong candidate as it only contains the key information of an integrable system, namely the Cauchy kernel and the plane wave factors. Therefore, in the future we only mean the equation in the τ-function, i.e. the Hirota–Miwa equation (3.9), by the lattice AKP equation, while the other forms of the lattice AKP equation, namely the equations in u, v, w, Sa,b as well as equation (3.3), can all be expressed by the τ-function. This is done by taking suitable limits on parameters a and b in (3.12). In the next sections, we will mainly be concentrating on the τ-function to understand the structure of the lattice BKP and CKP equations. Furthermore, we also note that the τ-equation does not necessarily need to be bilinear, although the terminology was from the bilinear theory.
4. The lattice BKP equation
Now, we try to find a slightly complex solution to the closure relation (2.15) in order to obtain different classes of 3D integrable lattice equations. As we assumed that (the simplest case when is independent of ) and and must linearly depend on Λ and tΛ in the lattice AKP class, we now suppose that they depend on Λ and tΛ fractionally linearly. One of the solutions under the assumption can be
| 4.1 |
In order to understand the 3D lattice equation in this class from the point of view of the τ-function, we need the relations for Ω and C. According to (2.19) and (2.25), in this case the dynamical evolution for them must obey
| 4.2a |
| 4.2b |
as well as the similar and relations. Equation (4.1) also tells us that the nonlinear evolutions of the infinite matrix U in this class satisfy
| 4.3 |
as well as similar relations for and . These relations can be obtained from (2.26). Now, one can try to select certain entries in the matrix U following the idea in the lattice AKP equation and expect to derive some closed-form equations from the framework. However, due to now depending on the lattice parameters p,q,r, it is not possible to derive closed-form scalar lattice equations from the relations without any extra conditions, and a multi-component form must be involved. In order to get a scalar equation, we impose an extra condition on the relations and it is actually done through imposing a constraint on the measure in the DLT which is given by dζ(l,l′)=−dζ(l′,l). The reason why we impose the extra condition is that the Ω in this case is antisymmetric if one follows (2.19) and (2.20) and we want the measure to match this property. Under this constraint, one can determine from (2.24) and (2.23) that the infinite matrices C and U satisfy the antisymmetry property tC=−C,tU=−U. Consequently, we have (Λi⋅U⋅tΛi)0,0=0 for arbitrary . For simplicity in the future, we here introduce some new variables as follows:
where V a=Wa and Sa,b=−Sb,a due to the antisymmetry property of U. Focusing on these new variables and considering the centre of the dynamical evolutions including [(4.3)]0,0, [a/(a−Λ)⋅(4.3)]0,0 and also [a/(a−Λ)⋅(4.3)⋅b/(b−tΛ)]0,0, we derive the following relations as a consequence:
| 4.4a |
| 4.4b |
as well as the dynamical relation for the variable Sa,b:
| 4.4c |
together with the dynamical relations along the other two directions, i.e. and . These relations will constitute the core ingredients for constructing a closed-form lattice equation later. We now introduce the τ-function, which is defined by . Considering the dynamical evolution of the τ-function, we have
in which we have used the rank 2 Weinstein–Aronszajn formula. Similar relations also hold for and as well as the undershifts , and . Taking (4.4a) into consideration, without losing generality, we have the dynamical relations for the τ-function
| 4.5 |
Now, if we set a=q in (4.4b), the V -variables can be replaced by the τ-function using (4.5), and therefore we can express S−q,−p by τ in the following formula:
| 4.6 |
Similar relations in terms of the other lattice parameters and discrete shifts can be obtained in a similar way. Finally, setting a=q and b=r in (4.4c) and replacing everything by the τ-function, we end up with a closed-form 3D lattice equation in the τ-function, which takes the form of
| 4.7 |
This is the lattice BKP equation, which is also known as the Miwa equation [8]. The difference between the Miwa equation and the Hirota–Miwa equation is that the former has an extra term (the fourth term). In fact, if one applies some formal limits, the Hirota–Miwa equation can be recovered from the Miwa equation.
Next, we consider the linear problem of the lattice BKP equation. The linear equations (2.7) in the lattice BKP case are given by
| 4.8 |
together with its and counterparts, as , and follow from (4.1). By introducing , from (4.8) we therefore have
| 4.9 |
together with the similar equations associated with and . And now we eliminate ψ by setting a=p and, as a result, we can derive the Lax triplet of the lattice BKP equation
| 4.10 |
Similarly, a nonlinear form of the BKP equation can be obtained if we eliminate the τ-function in the Lax triplet and it takes the form of
| 4.11 |
where two cross-ratios are involved in the explicit form.
5. The lattice CKP equation
Under the assumption in §4, namely the operators , and depend on Λ and tΛ fractionally linearly, there is also another solution to the closure relation (2.15),
| 5.1 |
Again, once we have the explicit expressions for the key information , and , the general formula (2.26) for the infinite matrix U turns out to be
| 5.2 |
together with the analogues after the replacements as well as . We note that it is very similar to the lattice BKP equation that a closed-form scalar 3D lattice equation might not exist from (5.2) without extra conditions due to the complexity of . Now, we consider the general dynamical relations for Ω and C in this case. According to the forms of , and , we have from (2.19) and (2.25)
| 5.3a |
| 5.3b |
as well as the relations produced by replacing by and . The important thing is that the Ω in (5.3a) turns out to be a symmetric kernel if one takes (2.20) into consideration. Motivated by the antisymmetry condition on the measure in the lattice BKP, we impose a symmetry condition on the measure in the DLT in this case, i.e. dζ(l,l′)=dζ(l′,l). In other words, we let the measure match the property of the Cauchy kernel. As a result, we have the symmetry property for the infinite matrices C and U if we follow definitions (2.24) and (2.23), namely tC=C,tU=U. Now, we introduce some new variables in which some new parameters are involved,
where V a=Wa and Sa,b=Sb,a hold because of the symmetry property of U. Now, the dynamical evolution of U (5.2) can give rise to the evolutions for the introduced new variables as follows if we consider [1/(a+Λ)⋅(5.2)]0,0 and [1/(a+Λ)⋅(5.2)⋅1/(b+tΛ)]0,0:
| 5.4a |
| 5.4b |
as well as the analogues in terms of and . The τ-function in this class is defined by . Since we know the dynamical evolutions of Ω and C from (5.3), with the help of them the dynamical evolution of the τ-function gives us
where the computation is very similar to the case in the lattice AKP equation. Similarly, we can also derive the evolution of the τ-function in terms of the undershifts. Therefore, the expressions for the τ-function are given by
| 5.5 |
together with the counterparts of the shifts and associated with their corresponding lattice parameters. Furthermore, if we set a=p in (5.4a) and make use of the above relations, the dynamical relations of the V -variables in terms of τ can easily be obtained, which are
| 5.6 |
and the similar relations also hold via the replacements . In order to find a closed-form equation in the τ-function, we first set a=p and b=q in (5.4b), respectively, and this gives us
Now, if we set a=b=q in (5.4b) and make use of the above obtained relations, an expression of the S-variable in terms of the τ-function can be obtained as follows:
| 5.7 |
The expressions for Sq,r and Sr,p by the τ-function as well as the S-quantity associated with −p,−q,−r can be derived in a similar way. Equation (5.7) is the key relation in deriving a closed-form 3D lattice equation. In fact, if we set a=q and b=p in (5.4b) and express all the variables in the equation by the τ-function, it turns out to be the lattice CKP equation
| 5.8 |
This is a new parametrization for the lattice CKP equation in contrast with the existing form in [15,17]. This version of the lattice CKP equation, i.e. (5.8), can provide soliton solutions as the lattice parameters p,q,r are introduced. Furthermore, we note that the left-hand side of the equation takes the form of Cayley’s 2×2×2 hyperdeterminant.
Now, we consider the linear problem of the lattice CKP equation. Equation (2.7) in the case of the lattice CKP equation is in the form of
| 5.9 |
The linear equation (5.9) provides us with
together with its and counterparts, in which ϕ=(uk)0,ψa=(1/(a+Λ)⋅uk)0. Now, if we set a=−q and eliminate the ψ-variables in the linear problem, we can obtain the Lax triplet of the lattice CKP equation, which is
| 5.10 |
together with its counterparts associated with the other two directions, where the V - and S-variables can be expressed in terms of the τ-function via equations (5.6) and (5.7), respectively.
6. Soliton solution structure
We now discuss how explicit soliton solutions for the lattice AKP, BKP and CKP equations arise from the DL constructed in the previous sections. Actually, these soliton solutions’ structure arises by restricting the double integral (in the integral equation) on a domain which contains a finite number of singular points. In other words, a measure that can introduce a finite number of singularities is required. As we noted previously, a 3D integrable lattice equation may have different forms but the solution structure hidden behind them is always the same. For convenience, we only study the soliton solution to the τ-equations, i.e. the Hirota–Miwa (AKP) equation (3.9), the Miwa (BKP) equation (4.7) and the Kashaev (CKP) equation (5.8). Soliton solutions to the other forms can easily be recovered via the associated discrete differential transforms.
In the soliton reduction, we need the following finite matrices: an N×N′ constant matrix A with entries Ai,j, and a generalized Cauchy matrix
| 6.1 |
where one can use (2.18) and (2.20) to determine the plane wave factors ρki and σk′j and the Cauchy kernel Ωj,i=Ωki,k′j. Next, we impose the following condition on the measure dζ(l,l′):
| 6.2 |
In fact, ki and k′j are the singular points in the domain D for soliton solutions. The condition of the measure (6.2) immediately gives rise to the degeneration of C and it takes the form of
| 6.3 |
The degeneration helps us to get rid of the non-locality (i.e. the double integral) in the problem and brings us a finite summation, which leads to soliton solutions of the 3D lattice equations in the form of a finite matrix. We conclude this as the following important statement:
| 6.4 |
Either equality in equation (6.4) provides us with a general formula for soliton solutions to the 3D lattice equations. In practice, once the operators , and are given, one can recover the plane wave factors ρk and σk′ as well as the Cauchy kernel Ωk,k′ and compose the generalized Cauchy matrix M. Meanwhile, the restriction on the measure dζ(l,l′) may require that the constant matrix A satisfies certain conditions. As a result, soliton solutions can be constructed. In the following, we follow on from this idea and give the N-soliton solutions to the lattice AKP, BKP and CKP equations one by one.
(a). The lattice AKP equation
The operators following from (3.1) in the lattice AKP equations result in the plane wave factors and the Cauchy kernel as follows:
| 6.5a |
| 6.5b |
As there is no restriction on the measure dζ(l,l′) in the lattice AKP case, the matrix A can be arbitrary (but non-degenerate). Therefore, the (N,N′)-soliton solution to the Hirota–Miwa equation (3.9) is
| 6.6 |
(b). The lattice BKP equation
The plane wave factors and the Cauchy kernel for the lattice BKP equation are given by
| 6.7 |
which follow from (4.1). In addition, in the lattice BKP equation, we impose the antisymmetry condition dζ(l,l′)=−dζ(l′,l) on the measure and this leads to Ai,j=−Aj,i in the matrix A, i.e.
| 6.8 |
As a result, the N-soliton solution to the Miwa equation (4.7) is determined by
| 6.9 |
As the matrices A and M are both antisymmetric, it can be shown that the determinant must be a perfect square. In other words, the τ-function itself can be expressed by a Pfaffian.
(c). The lattice CKP equation
Now, the plane wave factors and the Cauchy kernel that follow from (5.1) in the lattice CKP equation are given by
| 6.10 |
Owing to the symmetry property of the measure dζ(l,l′)=dζ(l′,l), one has to set N′=N and impose the symmetry condition on A, and therefore
| 6.11 |
Clearly, the N-soliton solution to the Kashaev equation (5.8) can then be written in the form of
| 6.12 |
The present paper only considers some simple choices of , and as solutions to the closure relations (2.15) such as (3.1), (4.1) and (5.1). Other choices also exist. For example, we refer the reader to (3.4) and the relevant results; however, the obtained 3D lattice equations still fit into the scheme of the discrete AKP class as has been shown in §3, which implies that the choice for the operators is not unique for a certain class of 3D integrable lattice equations. This is because the operators are deeply related to the Cauchy kernels and the plane wave factors which are not invariants in the integrable systems theory. In other words, solutions to the closure relation (2.15) do not provide a classification of 3D discrete integrable systems. In this paper, we choose the simplest operators generating the master discrete AKP, BKP and CKP equations. Therefore, a full classification of 3D integrable lattice equations within the DL framework remains a problem.
Data accessibility
This paper has no additional data.
Authors' contributions
The authors contributed to all the sections in the paper equally.
Competing interests
We declare that we have no competing interests.
Funding
W.F. was supported by a Leeds International Research Scholarship (LIRS) as well as a small grant from the School of Mathematics. F.W.N. was partially supported by EPSRC (EP/I038683/1).
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