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Hauptverfasser: Berardini, Elena, Trivedi, Pranav
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2605.06580
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author Berardini, Elena
Trivedi, Pranav
author_facet Berardini, Elena
Trivedi, Pranav
contents We introduce Generalized Skew Multivariate Goppa codes relying on the theory of multivariate Ore polynomials. These codes contain, as a particular case, the Generalized Skew Goppa codes. By providing a new parity check matrix for the latter, we show that, under some hypotheses, they are subfield subcodes of Generalized Skew Reed--Solomon codes. This result turns out to be helpful to study the parameters of Skew Multivariate Goppa codes, for which we provide bounds on their dimension and minimum distance.
format Preprint
id arxiv_https___arxiv_org_abs_2605_06580
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Generalized Skew Multivariate Goppa Codes
Berardini, Elena
Trivedi, Pranav
Information Theory
We introduce Generalized Skew Multivariate Goppa codes relying on the theory of multivariate Ore polynomials. These codes contain, as a particular case, the Generalized Skew Goppa codes. By providing a new parity check matrix for the latter, we show that, under some hypotheses, they are subfield subcodes of Generalized Skew Reed--Solomon codes. This result turns out to be helpful to study the parameters of Skew Multivariate Goppa codes, for which we provide bounds on their dimension and minimum distance.
title Generalized Skew Multivariate Goppa Codes
topic Information Theory
url https://arxiv.org/abs/2605.06580