Avan, J., Caudrelier, V., Doikou, A. & Kundu, A. (2016). Lagrangian and Hamiltonian structures in an integrable hierarchy and spacetime duality. Nuclear Physics B, 902, pp. 415439. doi: 10.1016/j.nuclphysb.2015.11.024

Text
 Published Version
Available under License Creative Commons Attribution. Download (401kB)  Preview 
Abstract
We define and illustrate the novel notion of dual integrable hierarchies, on the example of the nonlinear Schr¨odinger (NLS) hierarchy. For each integrable nonlinear evolution equation (NLEE) in the hierarchy, dual integrable structures are characterized by the fact that the zerocurvature representation of the NLEE can be realized by two Hamiltonian formulations stemming from two inequivalent Poisson structures and two distinct Hamiltonians. This is different from the standard biHamiltonian structure. One is wellknown and based on the standard Poisson structure for NLS. The other one is new and based on a different Poisson structure at each level of the hierarchy, yielding the corresponding NLEE as a space evolution equation. We emphasize the role of the Lagrangian formulation as a unifying framework for deriving both Poisson structures, using ideas from covariant field theory. One of our main results is to show that the two matrices of the Lax pair satisfy the same form of ultralocal Poisson algebra (up to a sign) characterized by an rmatrix structure, whereas traditionally only one of them is involved in the classical rmatrix method. We construct explicit dual hierarchies of Hamiltonians, and Lax representations of the triggered dynamics, from the monodromy matrices of either Lax matrix. An appealing procedure to build a multidimensional lattice of Lax pair, through successive uses of the dual Poisson structures, is briefly introduced.
Item Type:  Article 

Subjects:  Q Science > QA Mathematics 
Divisions:  School of Engineering & Mathematical Sciences > Department of Mathematical Science 
URI:  http://openaccess.city.ac.uk/id/eprint/12638 
Actions (login required)
View Item 
Downloads
Downloads per month over past year