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[2311.00882] Semidefinite programming and linear equations vs. homomorphism prob...

 1 month ago
source link: https://arxiv.org/abs/2311.00882
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Computer Science > Computational Complexity

[Submitted on 1 Nov 2023 (v1), last revised 17 Nov 2023 (this version, v2)]

Semidefinite programming and linear equations vs. homomorphism problems

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We introduce a relaxation for homomorphism problems that combines semidefinite programming with linear Diophantine equations, and propose a framework for the analysis of its power based on the spectral theory of association schemes. We use this framework to establish an unconditional lower bound against the semidefinite programming + linear equations model, by showing that the relaxation does not solve the approximate graph homomorphism problem and thus, in particular, the approximate graph colouring problem.
Subjects: Computational Complexity (cs.CC); Discrete Mathematics (cs.DM); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC)
Cite as: arXiv:2311.00882 [cs.CC]
  (or arXiv:2311.00882v2 [cs.CC] for this version)
  https://doi.org/10.48550/arXiv.2311.00882

Submission history

From: Stanislav Živný [view email]
[v1] Wed, 1 Nov 2023 22:15:19 UTC (70 KB)
[v2] Fri, 17 Nov 2023 05:02:40 UTC (70 KB)

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