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The weight distributions of some linear codes derived from Kloosterman sums

Mengzhen Zhao, Yanxun Chang

TL;DR

The paper addresses constructing $p$-ary linear codes with few weights from a defining set and determining their weight distributions via Kloosterman sums. It defines $D=\{(x,y)\in (F_q\times F_q)\setminus\{(0,0)\}:Tr_1^m(x+y^{p^t-1})=0\}$ with $q=p^m$, $m=2t$, and shows a four-weight code $C_D$ of length $n=p^{2m-1}-1$, along with subcodes $C_{D1}$ and $C_{D2}$ whose weights are governed by sums like $S=\sum_{z\in F_p^*}\sum_{x\in \Delta}\chi(zx)$ and by $K_1$. The main contributions are the complete weight distributions for $C_D$, $C_{D1}$, and $C_{D2}$, explicit weight formulas in terms of $S$ and $K_1$, and minimality results for the subcodes; the results rely on additive character sums and the properties of Kloosterman sums, enabling applications to secret sharing, data storage, and authentication schemes. These findings illustrate how Kloosterman-sum techniques can classify and construct minimal, few-weight linear codes with practical impact.

Abstract

Linear codes with few weights have applications in data storage systems, secret sharing schemes, and authentication codes. In this paper, some kinds of p-ary linear codes with few weights are constructed by use of the given de ning set, where p is a prime. Their weight distributions are determined based on Kloosterman sums over nite elds. In addition, some linear codes we given is minimal.

The weight distributions of some linear codes derived from Kloosterman sums

TL;DR

The paper addresses constructing -ary linear codes with few weights from a defining set and determining their weight distributions via Kloosterman sums. It defines with , , and shows a four-weight code of length , along with subcodes and whose weights are governed by sums like and by . The main contributions are the complete weight distributions for , , and , explicit weight formulas in terms of and , and minimality results for the subcodes; the results rely on additive character sums and the properties of Kloosterman sums, enabling applications to secret sharing, data storage, and authentication schemes. These findings illustrate how Kloosterman-sum techniques can classify and construct minimal, few-weight linear codes with practical impact.

Abstract

Linear codes with few weights have applications in data storage systems, secret sharing schemes, and authentication codes. In this paper, some kinds of p-ary linear codes with few weights are constructed by use of the given de ning set, where p is a prime. Their weight distributions are determined based on Kloosterman sums over nite elds. In addition, some linear codes we given is minimal.
Paper Structure (5 sections, 12 theorems, 28 equations, 2 tables)

This paper contains 5 sections, 12 theorems, 28 equations, 2 tables.

Key Result

Lemma 2.1

1997-L For any positive integer $l$ and $a\in F^*_{p^l},$$|K_l(a)|\leq2\sqrt{p^l}$.

Theorems & Definitions (19)

  • Lemma 2.1
  • Lemma 2.2
  • proof
  • Lemma 2.3
  • Lemma 2.4
  • Lemma 2.5
  • Lemma 2.6
  • Theorem 3.1
  • Example 3.1
  • Corollary 3.1
  • ...and 9 more