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Classifying optimal binary subspace codes of length 8, constant dimension 4 and minimum distance 6

Title data

Heinlein, Daniel ; Honold, Thomas ; Kiermaier, Michael ; Kurz, Sascha ; Wassermann, Alfred:
Classifying optimal binary subspace codes of length 8, constant dimension 4 and minimum distance 6.
In: Designs, Codes and Cryptography. Vol. 87 (2019) Issue 2-3 . - pp. 375-391.
ISSN 1573-7586
DOI: https://doi.org/10.1007/s10623-018-0544-8

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Project information

Project title:
Project's official title
Project's id
Ganzzahlige Optimierungsmodelle für Subspace Codes und endliche Geometrie
No information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

The maximum size A_2(8,6;4) of a binary subspace code of packet length v=8, minimum subspace distance
d=6, and constant dimension k=4 is 257, where the 2 isomorphism types are extended lifted maximum rank distance codes. In Finite Geometry terms the maximum number of solids in PG(7,2), mutually intersecting in at most a point, is 257. The result was obtained by combining the classification of substructures with integer linear programming techniques.
This implies that the maximum size A_2(8,6) of a binary mixed-dimension code of packet length 8 and minimum subspace distance 6 is also 257.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: constant dimension codes; integer linear programming
Subject classification: Mathematics Subject Classification Code: 51E20 (11T71 94B25)
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics II (Computer Algebra)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics and Didactics
Research Institutions > Research Centres > Forschungszentrum für Wissenschaftliches Rechnen an der Universität Bayreuth - HPC-Forschungszentrum
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 510 Mathematics
Date Deposited: 25 Jan 2019 09:18
Last Modified: 23 Nov 2022 08:52
URI: https://eref.uni-bayreuth.de/id/eprint/46984