Semidefinite bounds for nonbinary codes based on quadruples
Bart Litjens, Sven Polak, Alexander Schrijver

TL;DR
This paper introduces a semidefinite programming approach to derive new upper bounds for nonbinary codes, improving known limits for specific code parameters using symmetry and representation theory.
Contribution
The authors develop a novel semidefinite bound method for nonbinary codes based on quadruples, utilizing symmetry and representation theory to reduce computational complexity.
Findings
New upper bounds for specific nonbinary codes: A_4(6,3) ≤ 176, A_4(7,4) ≤ 155, A_5(7,4) ≤ 489, A_5(7,5) ≤ 87.
Method leverages symmetry and representation theory to make the semidefinite programming problem computationally feasible.
Provides tighter bounds than previously known for certain code parameters.
Abstract
For nonnegative integers , let denote the maximum cardinality of a code of length over an alphabet with letters and with minimum distance at least . We consider the following upper bound on . For any , let be the collection of codes of cardinality at most . Then is at most the maximum value of , where is a function such that and if has minimum distance less than , and such that the matrix is positive semidefinite. By the symmetry of the problem, we can apply representation theory to reduce the problem to a semidefinite programming problem with order bounded by a polynomial in . It yields the new upper bounds , , , and .
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