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Title data
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.
Further data
| Item Type: | Preprint, postprint |
|---|---|
| Keywords: | random network coding; subspace codes; packings; designs; q-analogs |
| Subject classification: | Mathematics Subject Classification Code: 51E20 (11T71 94B25) |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 500 Science > 510 Mathematics |
| Institutions of the University: | 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 Mathematical Economics Faculties |
| Language: | English |
| Originates at UBT: | Yes |
| URN: | urn:nbn:de:bvb:703-epub-3911-2 |
| Date Deposited: | 13 Nov 2018 07:28 |
| Last Modified: | 14 Mar 2019 14:22 |
| URI: | https://epub.uni-bayreuth.de/id/eprint/3911 |
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