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Invariant polydiagonal subspaces of matrices and constraint programming
Invariant polydiagonal subspaces of matrices and constraint programming
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Invariant polydiagonal subspaces of matrices and constraint programming
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Invariant polydiagonal subspaces of matrices and constraint programming
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Invariant polydiagonal subspaces of matrices and constraint programming
Invariant polydiagonal subspaces of matrices and constraint programming
Journal Article

Invariant polydiagonal subspaces of matrices and constraint programming

2024
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Overview
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.