2013
DOI: 10.1088/1751-8113/46/24/245207
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Towards the classification of integrable differential–difference equations in 2 + 1 dimensions

Abstract: We address the problem of classification of integrable differential-difference equations in 2+1 dimensions with one/two discrete variables. Our approach is based on the method of hydrodynamic reductions and its generalisation to dispersive equations as proposed in [10,11]. We obtain a number of classification results of scalar integrable equations including that of the intermediate long wave and Toda type.MSC: 35Q51, 37K10.

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Cited by 9 publications
(23 citation statements)
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“…Here we skip the long formulas to check a 2 is a symmetry of (33), which can be carried out by organising the terms according to polynomial terms, exponential terms and mixed terms. We can also compare a 2 to the symmetry flows obtained via its Lax representation, which is given in [25,21,14]. We now look at conserved densities for equation (33).…”
Section: The (2+1)-dimensional Volterra Latticementioning
confidence: 99%
See 3 more Smart Citations
“…Here we skip the long formulas to check a 2 is a symmetry of (33), which can be carried out by organising the terms according to polynomial terms, exponential terms and mixed terms. We can also compare a 2 to the symmetry flows obtained via its Lax representation, which is given in [25,21,14]. We now look at conserved densities for equation (33).…”
Section: The (2+1)-dimensional Volterra Latticementioning
confidence: 99%
“…To verify [a 2 , K] = 0, we can either compute directly or compare it to the symmetry flows obtained via its Lax representation [14].…”
Section: Another (2+1)-dimensional Generalised Volterra Chainmentioning
confidence: 99%
See 2 more Smart Citations
“…
In the series of recent publications [14,15,17,20] we have proposed a novel approach to the classification of integrable differential/difference equations in 3D based on the requirement that hydrodynamic reductions of the corresponding dispersionless limits are 'inherited' by the dispersive equations. In this paper we extend this to the fully discrete case.
…”
mentioning
confidence: 99%