Abstract
Recent investigations on the liquids and lattices are both active. In this paper, with symbolic computation, we consider a (3+1)-dimensional generalized Yu-Toda-Sasa-Fukuyama system for the interfacial waves in a two-layer liquid or elastic waves in a lattice, with two sets of the bilinear auto-Bäcklund transformations hereby built up. Moreover, we construct one set of the similarity reductions, from that system to a known ordinary differential equation. As for the amplitude or elevation of the relevant wave, our results rely on the coefficients in that system.
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1 Introduction
Fluid mechanics and lattice dynamics deal with fluid behaviors/interactions under various forces and with the vibrations of atoms inside crystals, basic to such fields as the oceanic, atmospheric, mineral and solid state sciences [1,2,3,4,5,6,7,8]. In connection with fluid mechanics and lattice dynamics, in this paper, we consider a (3+1)-dimensional generalized Yu-Toda-Sasa-Fukuyama system for the interfacial waves in a two-layer liquid or elastic waves in a lattice [7] (and references therein), i.e.,
where t is the scaled temporal coordinate, x, y and z denote the scaled spatial coordinates, v(x, y, z, t) indicates the amplitude or elevation of the relevant wave, while v(x, y, z, t) and u(x, y, z, t) mean two real differentiable functions as for x, y, z and t [7]. In addition, \(h_{\Upsilon }\)’s are the real constants, with \(\Upsilon = 1, ..., 8\).
Some special cases of System (1) were studied previously [8,9,10,11,12,13,14,15,16,17]: for instance,
-
1.
when \(h_6=h_7=h_8=0\), describing the interfacial waves in a two-layer liquid, a (3+1)-dimensional Yu-Toda-Sasa-Fukuyama system [8], i.e.,
$$\begin{aligned}&\left( h_1 v_{t}+h_2 v_{xxz}+h_4 v_{x} u_{z}+h_5 v v_{z}\right) _{x} +h_3 v_{yy}=0 , \end{aligned}$$(2a)$$\begin{aligned}&u_{x}=v; \end{aligned}$$(2b) -
2.
when \(h_1=h_2=1\), \(h_5=6\), \(h_4=h_6=h_7=h_8=0\) and \(z=x\), describing the long water waves and small-amplitude surface waves with the weak nonlinearity, weak dispersion and weak perturbation in a fluidFootnote 1, a (2+1)-dimensional generalized Kadomtsev-Petviashvili equation [9, 10],
$$\begin{aligned} \left( \, v_{t}+v_{xxx}+6 v v_{x} \, \right) _{x}+h_3 v_{yy}=0; \end{aligned}$$(3) -
3.
when \(h_1=h_2=h_3=h_5=1\), \(h_4=h_6=h_7=h_8=0\) and \(z=x\), describing the weakly transverse water waves in the long wave regime with small surface tension, a (2+1)-dimensional Kadomtsev-Petviashvili equation [11, 12],
$$\begin{aligned} \left( \, v_{t}+v_{xxx}+v v_{x} \, \right) _{x}+v_{yy}=0; \end{aligned}$$(4) -
4.
when \(h_1=h_2=1\), \(h_5=-6\), \(h_3=h_4=h_6=h_7=h_8=0\) and \(z=x\), describing the long waves in shallow water under the gravity, waves in a nonlinear lattice, ion-acoustic and magneto-acoustic waves in a plasma, and also applying to nonlinear opticsFootnote 2 and quantum mechanics, a (1+1)-dimensional Korteweg-de Vries equation [13, 14],
$$\begin{aligned} v_{t}+v_{xxx}-6 v v_{x}=0; \end{aligned}$$(5) -
5.
when \(h_1=h_5=1\), \(h_2=\frac{1}{4}\), \(h_4=\frac{1}{2}\) and \(h_3=h_6=h_7=h_8=0\), describing the (2+1)-dimensional interaction between a Riemann wave propagating along the z axis and a long wave propagating along the x axis, a (2+1)-dimensional integrable Calogero-Bogoyavlenskii-Schiff system [15, 16],
$$\begin{aligned}&v_{t}+\frac{1}{4} v_{xxz}+\frac{1}{2} v_{x} u_{z}+ v v_{z} =0, \end{aligned}$$(6a)$$\begin{aligned}&u_{x}=v; \end{aligned}$$(6b) -
6.
when \(h_1=-4\), \(h_2=1\), \(h_3=3\), \(h_4=2\), \(h_5=4\) and \(h_6=h_7=h_8=0\), describing the interfacial waves in a two-layer liquid or elastic quasiplane waves in a lattice, a (3+1)-dimensional Yu-Toda-Sasa-Fukuyama system [17], i.e.,
$$\begin{aligned}&\left( -4 v_{t}+ v_{xxz}+2 v_{x} u_{z}+4 v v_{z}\right) _{x} +3 v_{yy}=0, \end{aligned}$$(7a)$$\begin{aligned}&u_{x}=v\;\;. \end{aligned}$$(7b)
For System (1), currently interesting, under the coefficient constraints
on account of the transformations
Shen et al. [7] have presented a bilinear form, i.e.,
where f stands for a real differentiable function in respect of x, y, z and t, while the bilinear notations \(D_x\), \(D_y\), \(D_z\) and \(D_t\) are explained in the Appendix. Besides, bilinear auto-Bäcklund transformationFootnote 3, breather and periodic solutions for System (1) have been worked out [7].
Hereby with symbolic computation [54,55,56,57,58], on the one hand, for System (1), we will build up two sets of the bilinear auto-Bäcklund transformations, which are different from the one presented in Ref. [7], through the Hirota method [10, 59,60,61,62]. On the other hand, we will construct a set of the similarity reductions for System (1).
2 Bilinear Auto-Bäcklund Transformations for System (1)
The bilinear notations \(D_x\), \(D_y\), \(D_z\) and \(D_t\) can be found in the Appendix.
Because of the existing bilinear form under coefficient constraints, i.e., (10) under (8), employing the Hirota method, assuming that g stands for another solution of Form (10) and taking into account the expressionFootnote 4
we get
Then, making use of the exchange formulaeFootnote 5 [10]
we could build up two sets of the bilinear auto-Bäcklund transformations for System (1):
Set 1:
The exchange formulae, i.e., (12a), (12b), (12d), (12f), (12g) and (12j), bring about
Under the coefficient constraints, i.e., (8), assumptions that
develop into
with \(u_0\) and \(v_0\) as another set of the solutions of System (1), while \(\mu _1\) as a real constant.
Theorem 2.1
Equations (14) comprise a set of the bilinear auto-Bäcklund transformationsFootnote 6 for System (1), because of their mutual consistency.
Corollary 2.1
Describing certain interfacial waves in a two-layer liquid or elastic quasiplane waves in a lattice, modelling the amplitude or elevation of the relevant wave, Bilinear Auto-Bäcklund Transformations (14) depend on \(h_2\), \(h_3\), \(h_4\), \(h_6\), \(h_7\) and \(h_8\), the coefficients in System (1), under (8), the coefficient constraints.
In order to confirm the mutual consistence of Bäcklund Transformations (14), using symbolic computation, under the variable-coefficient constraints
and with the choice of
we could find certain analytic solutions of Bäcklund Transformations (14), i.e.,
where \(\sigma _1\) denotes a real non-zero constant, while \(\delta _1\) represents a positive constant.
Theorem 2.2
There stand Analytic Solutions (17c) and (17d)Footnote 7 for System (1).
Corollary 2.2
Describing certain interfacial waves in a two-layer liquid or elastic quasiplane waves in a lattice, modelling the amplitude or elevation of the relevant wave, Analytic Solutions (17c) and (17d) depend on \(h_2\), \(h_3\), \(h_4\), \(h_6\), \(h_7\) and \(h_8\), the coefficients in System (1), under (8) and (15), the coefficient constraints.
Set 2:
The exchange formulae, i.e., (12a), (12c), (12d), (12e), (12h) and (12i), result in
Assumptions that
give rise to
with \(\mu _2\), \(\mu _3\) and \(\mu _4\) as three real constants.
Theorem 2.3
Equations (19) comprise a set of the bilinear auto-Bäcklund transformations for System (1), because of their mutual consistency.
Corollary 2.3
Describing certain interfacial waves in a two-layer liquid or elastic quasiplane waves in a lattice, modelling the amplitude or elevation of the relevant wave, Bilinear Auto-Bäcklund Transformations (19) depend on \(h_2\), \(h_3\), \(h_4\), \(h_6\), \(h_7\) and \(h_8\), the coefficients in System (1), under (8), the coefficient constraints.
In order to confirm the mutual consistence of Bäcklund Transformations (19), making use of symbolic computation, under the variable-coefficient constraints
and with the choices of
we are able to obtain some analytic solutions of Bäcklund Transformations (19), i.e.,
where \(\sigma _2\) means a real non-zero constant, while \(\delta _2\) denotes a positive constant.
Theorem 2.4
There stand Analytic Solutions (22c) and (22d) for System (1).
Corollary 2.4
Describing certain interfacial waves in a two-layer liquid or elastic quasiplane waves in a lattice, modelling the amplitude or elevation of the relevant wave, Analytic Solutions (22c) and (22d) depend on \(h_2\), \(h_3\), \(h_4\), \(h_6\), \(h_7\) and \(h_8\), the coefficients in System (1), under (8) and (20), the coefficient constraints.
3 Similarity Reductions for System (1)
Our purpose is to build up some similarity reductions for System (1) following the similar approaches to the ones in Refs. [65,66,67,68,69,70,71,72,73] in the form
with p(r) and q(r) implying the real differentiable functions, while \(\theta (x,y,z,t)\), \(\alpha (x,y,z,t)\), \(\delta (x,y,z,t)\), \(\kappa (x,y,z,t)\) and r(x, y, z, t) standing for the real differentiable functions to be determined.
Thinking of the case of \(r_{x}=r_{y}=r_{z}=0\), \(\alpha (x,y,z,t) \ne 0\), \(\kappa (x,y,z,t) \ne 0\), \(p[r(x,y,z,t)] \ne 0\) and \(q[r(x,y,z,t)] \ne 0\), employing symbolic computation and substituting Assumptions (23) into System (1), we obtain
with the apostrophe indicating the differentiation with respect to r, while \(s(t)=dr(t)/dt\).
Once it is required that Eqs. (24) stand for a couple of the real ordinary differential equations (ODEs) with respect to p(r) and q(r), the ratios of the coefficients of different derivatives and powers of p(r) and q(r) must represent certain real functions as for r only.
We then make use of the coefficients of \(q'\) in Eq. (24a) and q in Eq. (24b), respectively, as the normalizing coefficients in Eqs. (24), to get
and
with \(\Omega _{i}(r)\)’s and \(\Gamma _{j}(r)\)’s meaning certain real to-be-determined functions as for r, while \(i=1,...,5\) and \(j=1,2\).
On the basis of the remarks in Ref. [65], a set of the conditions for \(\theta (x,y,z,t)\), \(\alpha (x,y,z,t)\), \(\delta (x,y,z,t)\), \(\kappa (x,y,z,t)\) and r(t) are figured, any solution of which could come to, at least, a similarity reduction.
On account of the second freedom in Remark 3 in Ref. [65], Eqs. (25b) and (26a) bring about
and then Eq. (25a) results in
with \(\eta _0(x,y,t)\) as a real differentiable function of x, y and t, while \(\eta _1(y,t)\) and \(\eta _2(y,t)\) as two real differentiable functions of y and t.
By reason of the first freedom in Remark 3 in Ref. [65], Eqs. (25c) and (26b) make for
so that Eqs. (25d) and (25e) develop into
with \(\xi _0\), \(\xi _1 \ne 0\), \(\xi _2 \ne 0\), \(\xi _4 \ne 0\) and \(\xi _5\) as the real constants, while \(\xi _3(t)\) as a real function of t.
Until now, System (1) can be simplified to the following ODEs:
For the purpose of transforming ODEs (31) into a single ODE, we get
and then find
In short, under the variable-coefficient constraints
we conclude with a set of the similarity reductions for System (1), written as
with q(r) satisfying
ODE (36) indicates a known ODE, the information of which has been reported in Ref. [74].
Theorem 3.1
There lie Similarity Reductions (35) with ODE (36) for System (1).
Corollary 3.1
Describing certain interfacial waves in a two-layer liquid or elastic quasiplane waves in a lattice, modelling the amplitude or elevation of the relevant wave, Similarity Reductions (35) with ODE (36) depend on \(h_1\), \(h_4\) and \(h_5\), the coefficients in System (1), under (34), the coefficient constraints.
4 Conclusions
To date, studies on the liquids and lattices have appeared interesting. In this paper, with symbolic computation, we have considered System (1), a (3+1)-dimensional generalized Yu-Toda-Sasa-Fukuyama system for the interfacial waves in a two-layer liquid or elastic waves in a lattice.
For System (1), we have built up Bilinear Auto-Bäcklund Transformations (14) and Bilinear Auto-Bäcklund Transformations (19), both of which are different from that in Ref. [7]. On the other hand, we have constructed Similarity Reductions (35) with ODE (36), i.e., from System (1) to a known ODE. As for the amplitude or elevation of the relevant wave, our results have been presented to rely on the coefficients in System (1).
Data Availibility
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
Notes
with F and G as the real differentiable functions of x, y, z and t
The plural form is used here, because of the existence of \(\mu _1\) (which is as-yet-undetermined).
The plural form is used here, because of the existence of \(\sigma _1\) and \(\delta _1\) (which are as-yet-undetermined) and of the fact that we get a family of the solutions.
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Acknowledgements
We express our sincere thanks to the Editors and Advisors/Reviewers for their valuable comments. This work has been supported by the National Natural Science Foundation of China under Grant Nos. 11871116 and 11772017, and Fundamental Research Funds for the Central Universities of China under Grant No. 2019XD-A11. X. Y. Gao also thanks the National Scholarship for Doctoral Students of China.
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Appendix
Appendix
The Hirota bilinear operators \(D_x\), \(D_y\), \(D_z\) and \(D_t\) have been defined as [10]
with \(\tilde{x}\), \(\tilde{y}\), \(\tilde{z}\) and \(\tilde{t}\) indicating four formal variables, G(x, y, z, t) denoting a \(C^{\infty }\) function of x, y, z and t, \(F(\tilde{x},\tilde{y},\tilde{z},\tilde{t})\) representing a \(C^{\infty }\) function of \(\tilde{x}\), \(\tilde{y}\), \(\tilde{z}\) and \(\tilde{t}\), while \(m_1\), \(m_2\), \(m_3\) and \(m_4\) implying four non-negative integers [10].
Recent applications of the Hirota bilinear operators include the ones to certain Bose-Einstein condensates with the dipole-dipole attractions and repulsions [75], liquids with the gas bubbles [76], time-dependent radiative transfer problems [77], nonlinear reduced fluid models for some plasmas [78] and ion-acoustic wave structures with the effects of magnetic fields in plasma physics [79]. Other recent vigorous references include, e.g., Refs. [22, 26, 27, 43, 80].
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Gao, XY., Guo, YJ. & Shan, WR. Bilinear Auto-Bäcklund Transformations and Similarity Reductions for a (3+1)-dimensional Generalized Yu-Toda-Sasa-Fukuyama System in Fluid Mechanics and Lattice Dynamics. Qual. Theory Dyn. Syst. 21, 95 (2022). https://doi.org/10.1007/s12346-022-00622-w
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DOI: https://doi.org/10.1007/s12346-022-00622-w
Keywords
- Two-layer liquid
- Lattice
- (3+1)-dimensional generalized Yu-Toda-Sasa-Fukuyama system
- Bilinear auto-Bäcklund transformations
- Similarity reductions
- Symbolic computation