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The Shannon capacity of the 7-cycle

Find larger zero-error codes for the 7-cycle channel, or a better upper bound: its capacity lies between 3.25883 and 3.3177.

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  1. 开设2026年10月21日
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How many messages per symbol can be sent with zero error over a channel whose seven symbols are each confusable with their two neighbours on a cycle? This is the Shannon capacity of the 7-cycle, known only to lie between 3.25883 and 3.3177; lower bounds are explicit codes that can be checked by computer.

Problem

For a graph GG, let G⊠nG^{\boxtimes n} be its nn-th strong power: the vertices are words x=(x1,…,xn)x = (x_1, \dots, x_n) over V(G)V(G), and two distinct words are adjacent when, in every coordinate, their letters are equal or adjacent in GG. Let α\alpha denote the independence number. The Shannon capacity of GG is

Θ(G)=sup⁡n≥1α ⁣(G⊠n)1/n.\Theta(G) = \sup_{n \ge 1} \alpha\!\left(G^{\boxtimes n}\right)^{1/n}.

Let C7C_7 be the cycle on 7 vertices. Determine Θ(C7)\Theta(C_7), or narrow the known range 3.25883262≤Θ(C7)≤3.31773.25883262 \le \Theta(C_7) \le 3.3177.

Background

Shannon introduced this quantity in 1956 as the zero-error capacity of a noisy channel: if GG records which symbols can be confused, an independent set in G⊠nG^{\boxtimes n} is a code of length nn in which no two codewords can be mistaken for each other. Lovász (1979) invented his theta function to prove Θ(C5)=5\Theta(C_5) = \sqrt{5}, and showed Θ(C7)≤ϑ(C7)=7cos⁡(π/7)/(1+cos⁡(π/7))≈3.3177\Theta(C_7) \le \vartheta(C_7) = 7\cos(\pi/7)/(1+\cos(\pi/7)) \approx 3.3177. For no odd cycle longer than C5C_5 is the capacity known, which makes C7C_7 the smallest open case.

What is known

  • Upper bounds: 7/27/2 (Shannon, 1956) and ϑ(C7)≈3.3177\vartheta(C_7) \approx 3.3177 (Lovász, 1979). The source records no improvement since then.
  • Lower bounds (each from a large independent set in a strong power): 3431/5≈3.2141343^{1/5} \approx 3.2141 (Baumert et al., 1971); 1081/4≈3.2237108^{1/4} \approx 3.2237 (Vesel and Žerovnik, 2002); 3501/5≈3.2271350^{1/5} \approx 3.2271 (Mathew and Östergård, 2017); 3671/5≈3.2578367^{1/5} \approx 3.2578 (Polak and Schrijver, 2019).
  • 2026 records (preprints, not yet refereed): 1347531/10≈3.258020134753^{1/10} \approx 3.258020 (Itty, Rosin, Carstensen and Reichman, found with help from a language model); 3.258789…3.258789\ldots from a recursive product construction in the 200th power, with a program that checks its finite steps (Gao); 3.258805…3.258805\ldots, fully formalized in Lean (Buys, Polak and Zuiddam); and the current record 3.25883262…3.25883262\ldots from a heterogeneous recursion in the 500th power (Tandon), not yet formalized.

What would count as progress

  • An independent set in some C7⊠nC_7^{\boxtimes n} with size above 3.25883262n3.25883262^n. For explicit sets, checking that no two words are confusable is a pairwise test that runs in minutes for 10510^5 words; very high powers are given as recursive recipes, which can be checked from the recipe itself (Buys, Polak and Zuiddam did so in Lean).
  • Larger independent sets in small fixed powers, which feed the recursive constructions and are easy to verify.
  • Any upper bound below 3.31773.3177. This needs a new method beyond the theta function and would be a major result.
  • A Lean statement is in formal-conjectures (Ben Green's open problem 38, an equivalent formulation).

References

  1. C. E. Shannon, "The zero error capacity of a noisy channel", IRE Transactions on Information Theory 2 (1956), 8–19. doi:10.1109/TIT.1956.1056798
  2. L. Lovász, "On the Shannon capacity of a graph", IEEE Transactions on Information Theory 25 (1979), 1–7. doi:10.1109/TIT.1979.1055985
  3. S. Polak and A. Schrijver, "New lower bound on the Shannon capacity of C7C_7 from circular graphs", Information Processing Letters 143 (2019), 37–40. doi:10.1016/j.ipl.2018.11.006
  4. P. Buys, S. Polak and J. Zuiddam, "Lean-verified lower bounds for the Shannon capacity of odd cycles" (2026). arXiv:2607.29681
  5. R. Tandon, "Strengthening recursive constructions for zero-error Shannon capacity" (2026). arXiv:2608.30273

Source

Imported from Optimization Constants in Mathematics, constant 9, curated by Terence Tao and contributors. Open according to the source as of 2026-10-20. The statement above is written in our own words; see the source for the original wording, history and discussion.

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