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Etzion, Tuvi ; Kurz, Sascha ; Otal, Kamil ; Özbudak, Ferruh:
Subspace packings.
Bayreuth
,
2018
. - 10 S.
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Abstract
The Grassmannian G_q(n,k) is the set of all k-dimensional subspaces of the vector space GF(q)^n. It is well known that codes in the Grassmannian space can be used for error-correction in random network coding. On the other hand, these codes are q-analogs of codes in the Johnson scheme, i.e. constant dimension codes. These codes of the Grassmannian G_q(n,k) also form a family of q-analogs of block designs and they are called subspace designs. The application of subspace codes has motivated extensive work on the q-analogs of block designs. In this paper, we examine one of the last families of q-analogs of block designs which was not considered before. This family called subspace packings is the q-analog of packings. This family of designs was considered recently for network coding solution for a family of multicast networks called the generalized combination networks. A subspace packing t-(n,k,lambda)^m_q is a set S of k-dimensional subspaces from G_q(n,k) such that each t-dimensional subspace of G_q(n,t) is contained in at most lambda elements of S. The goal of this work is to consider the largest size of such subspace packings.
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Publikationsform: | Preprint, Postprint |
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Keywords: | random network coding; subspace codes; packings; designs; q-analogs |
Fachklassifikationen: | Mathematics Subject Classification Code: 51E20 (11T71 94B25) |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 500 Naturwissenschaften und Mathematik > 510 Mathematik |
Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Wirtschaftsmathematik Fakultäten |
Sprache: | Englisch |
Titel an der UBT entstanden: | Ja |
URN: | urn:nbn:de:bvb:703-epub-3911-2 |
Eingestellt am: | 13 Nov 2018 07:28 |
Letzte Änderung: | 14 Mrz 2019 14:22 |
URI: | https://epub.uni-bayreuth.de/id/eprint/3911 |