G. Reinout W. Quispel

Explicit geometric integration of polynomial vector fields.

We present a unified framework in which to study splitting methods for polynomial vector fields in Rn. The vector field is to be represented as a sum of shears, each of which can be integrated exactly, and each of which is a function of k<n variables. Each shear must also inherit the structure of the original vector field: we consider Hamiltonian, Poisson, and volume-preserving cases. Each case then leads to the problem of finding an optimal distribution of points on an appropriate homogeneous space, generally the Grassmannians of k-planes or (in the Hamiltonian case) isotropic k-planes in Rn. These optimization problems have the same structure as those of constructing optimal experimental designs in statistics.

Construction of integrals of higher-order mappings

We find that certain higher-order mappings arise as reductions of the integrable discrete A-type KP (AKP) and B-type KP (BKP) equations. We find conservation laws for the AKP and BKP equations, then we use these conservation laws to derive integrals of the associated reduced maps.

Poisson structures for difference equations

We study the existence of log-canonical Poisson structures that are preserved by difference equations of special form. We also study the inverse problem, given a log-canonical Poisson structure to find a difference equation preserving this structure. We give examples of quadratic Poisson structures that arise for the Kadomtsev-Petviashvili (KP) type maps which follow from a travelling-wave reduction of the corresponding integrable partial difference equation.