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RANDOM
DOI: 10.4230/LIPIcs.APPROX/RANDOM.2026.48
An Elementary Proof of the First LP Bound on the Rate of Binary Codes

Authors: Nati Linial and Elyassaf Loyfer

Published in: LIPIcs, Volume 392, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2026)

Abstract
The asymptotic rate vs. distance problem is a long-standing fundamental problem in coding theory. The best upper bound to date was given in 1977, and has since received numerous proofs and interpretations. Here we provide a new, elementary proof of this bound that is based on counting walks in the Hamming cube.
Cite as

Nati Linial and Elyassaf Loyfer. An Elementary Proof of the First LP Bound on the Rate of Binary Codes. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 392, pp. 48:1-48:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{linial_et_al:LIPIcs.APPROX/RANDOM.2026.48,
  author =	{Linial, Nati and Loyfer, Elyassaf},
  title =	{{An Elementary Proof of the First LP Bound on the Rate of Binary Codes}},
  booktitle =	{Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2026)},
  pages =	{48:1--48:10},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-449-9},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{392},
  editor =	{Singh, Mohit and Gur, Tom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2026.48},
  URN =		{urn:nbn:de:0030-drops-277656},
  doi =		{10.4230/LIPIcs.APPROX/RANDOM.2026.48},
  annote =	{Keywords: Coding theory, code bounds, convex optimization, linear progamming}
}
Document
DOI: 10.4230/LIPIcs.ITCS.2026.44
Higher-Order Delsarte Dual LPs: Lifting, Constructions and Completeness

Authors: Leonardo Nagami Coregliano, Fernando Granha Jeronimo, Chris Jones, Nati Linial, and Elyassaf Loyfer

Published in: LIPIcs, Volume 362, 17th Innovations in Theoretical Computer Science Conference (ITCS 2026)

Abstract
A central and longstanding open problem in coding theory is the rate-versus-distance trade-off for binary error-correcting codes. In a seminal work, Delsarte introduced a family of linear programs establishing relaxations on the size of optimum codes. To date, the state-of-the-art upper bounds for binary codes come from dual feasible solutions to these LPs. Still, these bounds are exponentially far from the best-known existential constructions. Recently, hierarchies of linear programs extending and strengthening Delsarte’s original LPs were introduced for linear codes, which we refer to as higher-order Delsarte LPs. These new hierarchies were shown to provably converge to the actual value of optimum codes, namely, they are complete hierarchies. Therefore, understanding them and their dual formulations becomes a valuable line of investigation. Nonetheless, their higher-order structure poses challenges. In fact, analysis of all known convex programming hierarchies strengthening Delsarte’s original LPs has turned out to be exceedingly difficult and essentially nothing is known, stalling progress in the area since the 1970s. Our main result is an analysis of the higher-order Delsarte LPs via their dual formulation. Although quantitatively, our current analysis only matches the best-known upper bounds, it shows, for the first time, how to tame the complexity of analyzing a hierarchy strengthening Delsarte’s original LPs. In doing so, we reach a better understanding of the structure of the hierarchy, which may serve as the foundation for further quantitative improvements. We provide two additional structural results for this hierarchy. First, we show how to explicitly lift any feasible dual solution from level k to a (suitable) larger level 𝓁 while retaining the objective value. Second, we give a novel proof of completeness using the dual formulation.
Cite as

Leonardo Nagami Coregliano, Fernando Granha Jeronimo, Chris Jones, Nati Linial, and Elyassaf Loyfer. Higher-Order Delsarte Dual LPs: Lifting, Constructions and Completeness. In 17th Innovations in Theoretical Computer Science Conference (ITCS 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 362, pp. 44:1-44:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{coregliano_et_al:LIPIcs.ITCS.2026.44,
  author =	{Coregliano, Leonardo Nagami and Jeronimo, Fernando Granha and Jones, Chris and Linial, Nati and Loyfer, Elyassaf},
  title =	{{Higher-Order Delsarte Dual LPs: Lifting, Constructions and Completeness}},
  booktitle =	{17th Innovations in Theoretical Computer Science Conference (ITCS 2026)},
  pages =	{44:1--44:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-410-9},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{362},
  editor =	{Saraf, Shubhangi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2026.44},
  URN =		{urn:nbn:de:0030-drops-253315},
  doi =		{10.4230/LIPIcs.ITCS.2026.44},
  annote =	{Keywords: Coding theory, code bounds, convex optimization, linear progamming hierarchy}
}

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