1998
DOI: 10.1016/s0010-4655(98)00121-0
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Algorithmic integrability tests for nonlinear differential and lattice equations

Abstract: Three symbolic algorithms for testing the integrability of polynomial systems of partial differential and differential-difference equations are presented. The first algorithm is the well-known Painlevé test, which is applicable to polynomial systems of ordinary and partial differential equations. The second and third algorithms allow one to explicitly compute polynomial conserved densities and higher-order symmetries of nonlinear evolution and lattice equations.The first algorithm is implemented in the symboli… Show more

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Cited by 39 publications
(40 citation statements)
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“…The implementations described in [34,35,37] are limited to ODEs, while the implementations discussed in [16,[45][46][47] allow the testing of PDEs directly using the WTC algorithm. The implementation for PDEs written in Mathematica by Hereman et al [16] is limited to two independent variables (x and t) and is unable to find all the dominant behaviors in systems with undetermined exponents α i (as is the case with the Hirota-Satsuma system). Our package PainleveTest.m [4] written in Mathematica syntax, allows the testing of polynomial PDEs (and ODEs) with no limitation on the number of differential equations or the number of independent variables (except where limited by memory).…”
Section: Introductionmentioning
confidence: 99%
“…The implementations described in [34,35,37] are limited to ODEs, while the implementations discussed in [16,[45][46][47] allow the testing of PDEs directly using the WTC algorithm. The implementation for PDEs written in Mathematica by Hereman et al [16] is limited to two independent variables (x and t) and is unable to find all the dominant behaviors in systems with undetermined exponents α i (as is the case with the Hirota-Satsuma system). Our package PainleveTest.m [4] written in Mathematica syntax, allows the testing of polynomial PDEs (and ODEs) with no limitation on the number of differential equations or the number of independent variables (except where limited by memory).…”
Section: Introductionmentioning
confidence: 99%
“…Algorithms for computing conserved densities and generalized symmetries are described in [26,27,28,30,33,34,35]. Our code, PDERecursionOperator.m [9], uses these algorithms to compute the densities and generalized symmetries needed to construct the non-local part of the operator.…”
Section: Computation Of Conservation Lawsmentioning
confidence: 99%
“…Inspection of the ranks of generalized symmetries usually provides a hint on how to select the gap. If R is a recursion operator for (5), then the Lie derivative [35,54,59] of R is zero, which leads to the following defining equation:…”
Section: Algorithm For Computing Recursion Operatorsmentioning
confidence: 99%
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