mlsanityData to 14 Oct 2026

Improved lower bounds for the Shannon capacity of odd cycles

arXiv 2607.21517 ↗First posted 23 Jul 2026cs.IT cs.AI cs.DMcited by 1

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Abstract (arXiv)

The Shannon capacity Theta(G) of a graph G quantifies the maximum rate at which information can be transmitted with zero error over a noisy channel. It is lower bounded by α(Gd)1/d for any d, where α(Gd) is the independence number of the d-th strong product of G. We construct independent sets of size 134753 in C710, 21909 in C116, 62530 in C136, and 8076974 in C158, improving the best known lower bounds for the Shannon capacity of these graphs to Theta(C7)≥ 1347531/10>3.258020, Theta(C11)≥ 219091/6>5.289773, Theta(C13)≥ 625301/6>6.300109, and Theta(C15)≥ 80769741/8>7.301399. We also improve the best known lower bounds on the independence numbers of several individual strong products of odd cycles that do not improve the Shannon capacity lower bound. The constructions were discovered through iterative interactions with a Large Language Model (LLM), illustrating the potential of LLMs for finding explicit combinatorial constructions.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 18 references that are in the map. First posted on arXiv 23 Jul 2026.

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2 of 18 references.

References · 2

  1. 2025(X)-evolve: Solution space evolution powered by large language modelscited by 6
  2. 2025Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design Problemscited by 3

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