The weight hierarchies of three classes of linear codes
Wei Lu, Qingyao Wang, Xiaoqiang Wang, Dabin Zheng
TL;DR
The paper addresses the challenge of determining complete weight hierarchies for three classes of linear codes constructed from defining sets over finite fields. It develops a unified approach based on analyzing the intersections of defining sets with dual subspaces and constructing r-dimensional subspaces that attain derived bounds, with analysis supported by exponential-sum techniques. Explicit closed-form expressions for the r-th generalized Hamming weight are obtained for each class: unitary-form, bivariate-form, and butterfly-structure codes, under appropriate parameter conditions. The results fill gaps in the literature on weight hierarchies for defining-set codes and provide precise tools for assessing code performance in applications sensitive to higher-weight structure.
Abstract
Studying the generalized Hamming weights of linear codes is a significant research area within coding theory, as it provides valuable structural information about the codes and plays a crucial role in determining their performance in various applications. However, determining the generalized Hamming weights of linear codes, particularly their weight hierarchy, is generally a challenging task. In this paper, we focus on investigating the generalized Hamming weights of three classes of linear codes over finite fields. These codes are constructed by different defining sets. By analysing the intersections between the definition sets and the duals of all $r$-dimensional subspaces, we get the inequalities on the sizes of these intersections. Then constructing subspaces that reach the upper bounds of these inequalities, we successfully determine the complete weight hierarchies of these codes.
