Invariant Polydiagonal Subspaces of Matrices and Constraint Programming
Dynamical Systems
2024-12-16 v2 Discrete Mathematics
Mathematical Software
Abstract
In a polydiagonal subspace of the Euclidean space, certain components of the vectors are equal (synchrony) or opposite (anti-synchrony). Polydiagonal subspaces invariant under a matrix have many applications in graph theory and dynamical systems, especially coupled cell networks. We describe invariant polydiagonal subspaces in terms of coloring vectors. This approach gives an easy formulation of a constraint satisfaction problem for finding invariant polydiagonal subspaces. Solving the resulting problem with existing state-of-the-art constraint solvers greatly outperforms the currently known algorithms.
Cite
@article{arxiv.2411.10904,
title = {Invariant Polydiagonal Subspaces of Matrices and Constraint Programming},
author = {John M. Neuberger and Nándor Sieben and James W. Swift},
journal= {arXiv preprint arXiv:2411.10904},
year = {2024}
}
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16 pages