English

MDS matrices from skew polynomials with automorphisms and derivations

Information Theory 2026-02-03 v1 math.IT

Abstract

Maximum Distance Separable (MDS) matrices play a central role in coding theory and symmetric-key cryptography due to their optimal diffusion properties. In this paper, we present a construction of MDS matrices using skew polynomial rings Fq[X;θ,δ] \mathbb{F}_q[X;\theta,\delta] , where θ \theta is an automorphism and δ \delta is a θ \theta-derivation on Fq \mathbb{F}_q . We introduce the notion of δθ \delta_{\theta} -circulant matrices and study their structural properties. Necessary and sufficient conditions are derived under which these matrices are involutory and satisfy the MDS property. The resulting δθ\delta_\theta-circulant matrix can be viewed as a generalization of classical constructions obtained in the absence of θ\theta-derivations. One of the main contribution of this work is the construction of quasi recursive MDS matrices. In the setting of the skew polynomial ring Fq[X;θ]\mathbb{F}_q[X;\theta], we construct quasi recursive MDS matrices associated with companion matrices. These matrices are shown to be involutory, yielding a strict improvement over the quasi-involutory constructions previously reported in the literature. Several illustrative results and examples are also provided.

Keywords

Cite

@article{arxiv.2602.01383,
  title  = {MDS matrices from skew polynomials with automorphisms and derivations},
  author = {Atif Ahmad Khan and Shakir Ali and Elif Segah Oztas and Abhishek Kesarwani},
  journal= {arXiv preprint arXiv:2602.01383},
  year   = {2026}
}
R2 v1 2026-07-01T09:30:28.230Z