79 research outputs found

    Construction of Optimal Linear Codes Using Flats and Spreads in a Finite Projective Geometry

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    In this paper, we shall consider a problem of constructing an optimal linear code whose code length n is minimum among (*, k, d ; s)-codes for given integers k, d and s. In [5], we showed that this problem is equivalent to Problem B of a linear programming which has some geometrical structure and gave a geometrical method of constructing a solution of Problem B using a set of flats in a finite projective geometry and obtained a necessary and sufficient conditions for integers k, d and s that there exists such a geometrical solution of Problem B for given integers k, d and s. But there was no space to give the proof of the main theorem 4.2 in [5]. The purpose of this paper is to give the proof of [5, Theorem 4.2], i.e. to give a systematic method of constructing a solution of Problem B using flats and spreads in a finite projective geometry

    Optimal Binary Subspace Codes of Length 6, Constant Dimension 3 and Minimum Distance 4

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    It is shown that the maximum size of a binary subspace code of packet length v=6v=6, minimum subspace distance d=4d=4, and constant dimension k=3k=3 is M=77M=77; in Finite Geometry terms, the maximum number of planes in PG(5,2)\operatorname{PG}(5,2) mutually intersecting in at most a point is 7777. Optimal binary (v,M,d;k)=(6,77,4;3)(v,M,d;k)=(6,77,4;3) subspace codes are classified into 55 isomorphism types, and a computer-free construction of one isomorphism type is provided. The construction uses both geometry and finite fields theory and generalizes to any qq, yielding a new family of qq-ary (6,q6+2q2+2q+1,4;3)(6,q^6+2q^2+2q+1,4;3) subspace codes

    Classification of large partial plane spreads in PG(6,2)PG(6,2) and related combinatorial objects

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    In this article, the partial plane spreads in PG(6,2)PG(6,2) of maximum possible size 1717 and of size 1616 are classified. Based on this result, we obtain the classification of the following closely related combinatorial objects: Vector space partitions of PG(6,2)PG(6,2) of type (31641)(3^{16} 4^1), binary 3×43\times 4 MRD codes of minimum rank distance 33, and subspace codes with parameters (7,17,6)2(7,17,6)_2 and (7,34,5)2(7,34,5)_2.Comment: 31 pages, 9 table

    Geometrical aspects of subspace codes

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