Abstract:In this work we develop a geometric approach to the study of rank metric codes. Using this method, we introduce a simpler definition for generalized rank weight of linear codes. We give a complete classification of constant rank weight code and we give their generalized rank weights. *
“…This connection has been intensively used to get classification results and intriguing constructions in both the areas of coding theory and finite geometry. Recently, in [38,41] it has been shown that equivalence classes of nondegenerate rank-metric codes are in one-to-one correspondence with equivalence classes of q-systems, where the latter constitute the q-analogue of projective systems; see also [1]. At this point, it is natural to ask whether it is possible to construct geometric objects able to capture the structure of sum-rank metric codes which generalize both projective systems and q-systems.…”
Section: Geometry Of Sum-rank Metric Codesmentioning
confidence: 99%
“…More recently a similar geometric approach was used for codes in the rank metric. A first intuition was given in [40], while a full correspondence was provided in [41] and in [38]: kdimensional rank-metric codes over an extension field F q m of F q correspond to q-systems, which are special F q -subspaces of F k q m . This correspondence allowed us to give a complete characterization of nondegenerate F q m -linear one-weight codes in the rank metric; see [38,Theorem 12], [1,Proposition 3.16].…”
We provide a geometric characterization of k-dimensional Fqm -linear sum-rank metric codes as tuples of Fq-subspaces of F k q m . We then use this characterization to study one-weight codes in the sum-rank metric. This leads us to extend the family of linearized Reed-Solomon codes in order to obtain a doubly-extended version of them. We prove that these codes are still maximum sum-rank distance (MSRD) codes and, when k = 2, they are one-weight, as in the Hamming-metric case. We then focus on constant rank-profile codes in the sum-rank metric, which are a special family of one weight-codes, and derive constraints on their parameters with the aid of an associated Hamming-metric code. Furthermore, we introduce the n-simplex codes in the sum-rank metric, which are obtained as the orbit of a Singer subgroup of GL(k, q m ). They turn out to be constant rank-profile -and hence one-weight -and generalize the simplex codes in both the Hamming and the rank metric. Finally, we focus on 2-dimensional one-weight codes, deriving constraints on the parameters of those which are also MSRD, and we find a new construction of one-weight MSRD codes when q = 2.
“…This connection has been intensively used to get classification results and intriguing constructions in both the areas of coding theory and finite geometry. Recently, in [38,41] it has been shown that equivalence classes of nondegenerate rank-metric codes are in one-to-one correspondence with equivalence classes of q-systems, where the latter constitute the q-analogue of projective systems; see also [1]. At this point, it is natural to ask whether it is possible to construct geometric objects able to capture the structure of sum-rank metric codes which generalize both projective systems and q-systems.…”
Section: Geometry Of Sum-rank Metric Codesmentioning
confidence: 99%
“…More recently a similar geometric approach was used for codes in the rank metric. A first intuition was given in [40], while a full correspondence was provided in [41] and in [38]: kdimensional rank-metric codes over an extension field F q m of F q correspond to q-systems, which are special F q -subspaces of F k q m . This correspondence allowed us to give a complete characterization of nondegenerate F q m -linear one-weight codes in the rank metric; see [38,Theorem 12], [1,Proposition 3.16].…”
We provide a geometric characterization of k-dimensional Fqm -linear sum-rank metric codes as tuples of Fq-subspaces of F k q m . We then use this characterization to study one-weight codes in the sum-rank metric. This leads us to extend the family of linearized Reed-Solomon codes in order to obtain a doubly-extended version of them. We prove that these codes are still maximum sum-rank distance (MSRD) codes and, when k = 2, they are one-weight, as in the Hamming-metric case. We then focus on constant rank-profile codes in the sum-rank metric, which are a special family of one weight-codes, and derive constraints on their parameters with the aid of an associated Hamming-metric code. Furthermore, we introduce the n-simplex codes in the sum-rank metric, which are obtained as the orbit of a Singer subgroup of GL(k, q m ). They turn out to be constant rank-profile -and hence one-weight -and generalize the simplex codes in both the Hamming and the rank metric. Finally, we focus on 2-dimensional one-weight codes, deriving constraints on the parameters of those which are also MSRD, and we find a new construction of one-weight MSRD codes when q = 2.
“…Recently, in [24] Randrianarisoa introduced q-systems. A q-system U over q n with parameters m r d [ , , ] is an m-dimensional q -subspace generating over q n a r-dimensional q n -vector space V , where…”
mentioning
confidence: 99%
“…]-rank metric codes, cf. [24,Theorem 2]. In [10] the authors investigated the following subspace analogue of caps of kind h: for h r…”
Let V denote an r-dimensional vector space over q n , the finite field of q n elements. Then V is also an rndimension vector space over q .The (1, 1) q -evasive subspaces are known as scattered and they have been intensively studied in finite geometry, their maximum size has been proved to be ⌊ ∕ ⌋ rn 2 when rn is even or n = 3. We investigate the maximum size of h k ( , ) q -evasive subspaces, study two duality relations among them and provide various constructions. In particular, we present the first examples, for infinitely many values of q, of maximum scattered subspaces when r = 3 and n = 5. We obtain these examples in characteristics 2, 3 and 5.
“…Let G be a matrix in F r× rn 2 q m whose columns are a basis of U . As a consequence of Theorem 7.16 and the connection between linear rank metric codes and q-systems (see [28] and also [1]), the linear rank metric codes having as a generator matrix G have exactly three nonzero weights, which are n − r, n − 1, n. In particular, they are examples (r − 1)-almost MRD codes, see [12]. Moreover, using [1, Theorem 4.8], we can from L U we can also construct linear Hamming metric codes with only three weight and for which we can completely establish its weight distribution, as already done for some classes of linear sets (see also [25,33]).…”
Sidon spaces have been introduced by Bachoc, Serra and Zémor in 2017 in connection with the linear analogue of Vosper's Theorem. In this paper, we propose a generalization of this notion to sets of subspaces, which we call multi-Sidon space. We analyze their structures, provide examples and introduce a notion of equivalnce among them. Making use of these results, we study a class of linear sets in PG(r − 1, q n ) determined by r points and we investigate multi-orbit cyclic subspace codes.
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