Integrable discretizations for lattice systems: local equations of motion and their Hamiltonian properties
Yuri B. Suris (University of Bremen)

TL;DR
This paper develops a method for integrable discretization of lattice systems, introducing localizing changes of variables to achieve local equations of motion while preserving Hamiltonian structures.
Contribution
It introduces localizing changes of variables for discretizations, enabling local equations of motion and new integrable perturbations for various lattice systems.
Findings
Constructed localizing changes of variables for multiple lattice systems
Discretized and localized equations for new classes of lattice KP systems
Identified one-parameter deformations of Poisson algebras
Abstract
We develop the approach to the problem of integrable discretization based on the notion of --matrix hierarchies. One of its basic features is the coincidence of Lax matrices of discretized systems with the Lax matrices of the underlying continuous time systems. A common feature of the discretizations obtained in this approach is non--locality. We demonstrate how to overcome this drawback. Namely, we introduce the notion of localizing changes of variables and construct such changes of variables for a large number of examples, including the Toda and the relativistic Toda lattices, the Volterra lattice and its integrable perturbation, the second flows of the Toda and of the Volterra hierarchies, the modified Volterra lattice, the Belov-Chaltikian lattice, the Bogoyavlensky lattices, the Bruschi-Ragnisco lattice. We also introduce a novel class of constrained lattice KP systems,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Waves and Solitons · Nonlinear Photonic Systems · Algebraic structures and combinatorial models
