Abstract
A graphical design is a subset of graph vertices such that the weighted averages of certain graph eigenvectors over the design agree with their global averages. We use Gale duality to show that positively weighted graphical designs in regular graphs are in bijection with the faces of a generalized eigenpolytope of the graph. This connection can be used to organize, compute and optimize designs. We illustrate the power of this tool on three families of Cayley graphs – cocktail party graphs, cycles, and graphs of hypercubes – by computing or bounding the smallest designs that average all but the last eigenspace in frequency order.
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Acknowledgements
We thank Sameer Agarwal and Stefan Steinerberger for many useful discussions and suggestions. We also thank Chris Lee and David Shiroma, undergraduates at the University of Washington, who worked with us in Autumn 2021 on graphical designs. They independently discovered the construction in Bonisoli’s theorem on linear codes which provides strong bounds on extremal designs in the graphs of hypercubes. We explain this result in Sect. 5.
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Research partially supported by the Walker Family Endowed Professorship in Mathematics at the University of Washington.
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Babecki, C., Thomas, R.R. Graphical designs and gale duality. Math. Program. 200, 703–737 (2023). https://doi.org/10.1007/s10107-022-01861-0
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DOI: https://doi.org/10.1007/s10107-022-01861-0
Keywords
- Graphical Designs
- Graph Laplacian
- Gale Duality
- Polytopes
- Quadrature Rules
- Eigenpolytopes
- Hamming Code
- Stable Sets
- Graph Sampling