Multi-linear variable separation approach to nonlinear systems

Abstract

The multi-linear variable separation approach is reviewed in this article. The method has been recently established and successfully solved a large number of nonlinear systems. One of the most exciting findings is that the basic multi-linear variable separation solution can be expressed by a universal formula including two (1+1)-dimensional functions, and at least one is arbitrary for integrable systems. Furthermore, the method has been extended in two different ways so as to enroll more low dimensional functions in the solution.

Keywords

multi-linear variable separation approach (MLVSA) / multi-linear variable separation solution (MLVSS) / universal formula

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Higher Education Press and Springer-Verlag Berlin Heidelberg