New LP-Based Upper Bounds in the Rate-Vs.-Distance Problem for Binary Linear Codes

Elyassaf Loyfer, Nati Linial

Research output: Contribution to journalArticlepeer-review

Abstract

We develop a new family of linear programs, that yield upper bounds on the rate of binary linear codes of a given distance. Our bounds apply only to linear codes. Delsarte's LP is the weakest member of this family and our LP yields increasingly tighter upper bounds on the rate as its control parameter increases. Numerical experiments show significant improvement compared to Delsarte. These convincing numerical results, and the large variety of tools available for asymptotic analysis, give us hope that our work will lead to new improved asymptotic upper bounds on the possible rate of linear codes. A slightly prior work by Coregliano, Jeronimo and Jones offers a closely related family of linear programs which converges to the true bound. Here we provide a new proof of convergence for the same LPs.

Original languageAmerican English
Pages (from-to)2886-2899
Number of pages14
JournalIEEE Transactions on Information Theory
Volume69
Issue number5
DOIs
StatePublished - 1 May 2023

Keywords

  • Error correction codes
  • binary codes
  • linear codes
  • linear programming

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'New LP-Based Upper Bounds in the Rate-Vs.-Distance Problem for Binary Linear Codes'. Together they form a unique fingerprint.

Cite this