Groups of linear isometries on weighted poset block spaces
Abstract: In this paper, we introduce a new family of metrics, weighted poset block metric, that combine the weighted coordinates poset metric introduced by Panek et al. [(References)] and the metric for linear error-block codes introduced by Feng et al. [(References)]. This type of metrics include many classical metrics such as Hamming metric, Lee metric, poset metric, pomset metric, poset block metric, pomset block metric and so on. We give a complete description of the groups of linear isometries of these metric spaces in terms of a semi-direct product. Furthermore, we obtain a Singleton type bound for codes equipped with weighted poset block metric and define MDS codes. As a special case when the poset is a chain, we show that MDS codes are equivalent to perfect codes.
Key words: linear isometry, poset block metric, principal ideal, pomset block metric, weighted poset block metric
1 Introduction
The study of codes endowed with a metric other than the Hamming metric gained momentum since 1990’s, such as the poset metric by Brualdi et al. ([References]). Over the last two decades, the study of codes in the poset metric has made the subject of coding theory to see several developments. It paved a way for studying codes equipped with various metrics.
Feng, Xu and Hickernell ([References]) introduced the block metric by partitioning the set of coordinate positions of and studied MDS block codes. Poset block metric was introduced by Alves, Panek, and Firer ([References]) unifying poset metric and block metric. Later, Dass, Sharma and Verma obtained a Singleton type bound for poset block codes and define a maximum distance separable poset block code as a code meeting this bound. They also extended the concept of -balls to poset block metric and describe -perfect and MDS -codes in terms of -perfect codes. Niederreiter-Rosenbloom-Tsfasman block metric (in short, NRT block metric) is a particular case of poset block when the poset is a chain. Panek, Firer and Alves in [References] classified the classes of equivalent codes and developed much of the classical theory for NRT block codes.
As the support of a vector in is a set and hence induces order ideals and metrics on , the poset metric codes could not accommodate Lee metric structure due to the fact that the support of a vector with respect to Lee weight is not a set but rather a multiset. In order to handle Lee metric, a much general class of metrics called pomset metric is introduced by Irrinki and Selvaraj ([References],[References],[References]) for codes over . Furthermore, construction of pomset codes are obtained and their metric properties like minimum distance, covering radius, MacWilliams’ identity, Singleton-type bound, perfect codes and so on are determined.
The group of linear isometries were determined for the Rosenbloom-Tsfasman space, generalized Rosenbloom-Tsfasman space and crown space (see [References],[References],[References]). In [References], Panek et al. gave a complete description of group of linear isometries of poset metric space. Extending their approach, Panek and Pinheiro studied Weighted coordinates poset metric ([References]) that include any additive metric space such as Hamming metric and Lee metric, as well as the poset metric and pomset metric. They provided a complete description of the groups of linear isometries of these metric spaces in terms of a semidirect product, which turns out to be similar to the case of poset metric spaces.
It is natural to ask: does there exist a metric that will be compatible with additive metric and block metric? In this work, we combine weighted poset metric with error-block metric to obtain a further generalization called the weighted poset block metric which includes not only all additive metrics mentioned above but also some block metric such as poset block metric, pomset block metric and so on.
The paper is organized as follows. Section 2 contains basic notions of posets and defines the weighted poset block metric over . In Section 3, we give a complete description of groups of linear isometries of the metric space , for any weighted poset block metric . In Section 4, we give some examples to illustrate our conclusion. Finally, we establish a singleton type bound for codes with weighted poset block metric and define a maximum distance separable -code (MDS -code) as a code meeting this bound. The connection of MDS -codes with perfect codes is also investigated when is considered to be a chain.
2 Preliminaries
In this section, we give basic definitions and results of a weighted poset block metric to be used in the subsequent sections.
2.1 On weighted poset block metric
The definitions of weight and metric can be defined on general rings. In particular, we restrict it to finite fields because it is the most explored in the context of coding theory.
Let be the finite field of order and the -dimensional vector space over .
Definition 1.
A map is a metric on if it satisfies the following conditions:
-
(1)
(non-negativity) for all and if and only if ;
-
(2)
(symmetry) for all ;
-
(3)
(triangle inequality) for all .
Definition 2.
A map is a weight on if it satisfies the following conditions:
-
(1)
for all and if and only if ;
-
(2)
for all ;
-
(3)
for all .
It is straightforward to prove that, if is a weight over , then the map defined by is a metric on . See [References] and [References] for detailed discussion on weight and metric.
Let be a set. A partial order on is a binary relation on such that for all , we have (reflexivity), and imply (antisymmetry), and imply (transitivity). A set equipped with an order relation is said to be a poset. An element is a maximal element of if and imply . We denote by the set of all maximal elements of . A poset is a chain if any two elements of are comparable. The opposite of a chain is an antichain, that is, a poset is an antichain if in only when . We call a subset of an ideal if, whenever , and , we have . For a subset of , the ideal generated by , denoted by , is the smallest ideal of containing . We prefer to denote the ideal generated by as instead of . We denoted by the difference .
Given two posets and , we say that and are isomorphic, and write , if there exists a bijective map from onto such that in if and only if in . Then is called an order-isomorphism. An order-isomorphism is called an automorphism and we denote by the group of automorphisms of .
Let . Let be a poset and let be a map such that . The map is said to be a labeling of the poset , and the pair is called a poset block structure over . Denote by . We take as the -vector space for all . We define as the direct sum
(1) |
which is isomorphic to . Each can be uniquely decomposed as
(2) |
where for .
Let be a weight on and be a poset. Given , set
(3) |
(4) |
(5) |
The block support or -support of is the set
We denote by the ideal generated by and denote by the set of maximal elements in the ideal . The -weight of is defined as
(6) |
For , define their -distance as
(7) |
Theorem 1.
The -weight defined above is a weight over and thus the -distance is a metric over .
Proof.
-
(1)
Clearly and iff for all .
-
(2)
As for all and for all , it follows that .
-
(3)
Finally we show that the -weight satisfies the triangle inequality. Take , we have
The second and third inequalities follow from that is a weight over and , (see [References]) respectively. Therefore is a weight over .
∎
The metric is called the weighted poset block metric and the pair is said to be a weighted poset block space. When the label satisfies for all the weighted poset block metric is the weighted coordinates poset metric proposed by Panek et al. in [References] which combines and extends several classic metrics of coding theory such as Hamming metric, Lee metric, poset metric ([References]), pomset metric ([References]) and so on. We also refer the reader to [References, References, References, References] for a general metric called weighted poset metric. Let be a poset and be a map. For any , the weighted poset weight of is defined as
Note that weighted poset metric is a metric which respect support condition. When the weight over such that for all and for all , weighted poset block metric would coincide with weighted poset metric over .
2.2 Special cases of weighted poset block metric
In this section, we will show some important metrics that can be deduced from weighted poset block metric.
1. Poset block metric
The poset block weight is defined by
for all . For ,
defines a metric over called the poset block metric and the pair is said to be a poset block space. It is clear that poset block weight is a particular case of weighted poset block weight when is taken to be Hamming weight over .
2. Pomset block metric
Though we define weighted poset block metrics over in Section 2.1, it is still valid if we consider the free module over instead of .
Now we recall some definitions and properties regarding multisets needed for defining the pomset block metric and we show that it is a special case of weighted poset block metric.
Let be a set of elements. An multiset (in short, mset) drawn from is represented as where and is the number of occurrences of in denoted by . The cardinality of is given by . The set is called the root set of . A submultiset (in short, subset) of is an mset drawn from which satisfies for all .
Let and be two msets drawn from a set . The union of and is an mset such that for all , . The Cartesian product of and , denoted by , is an mset . A subset of and is said to be an mset relation if every member of has count .
An mset relation on an mset drawn from is said to be reflexive iff for all ; anti-symmetric iff and imply and ; transitive iff , imply . The relation is called pomset relation if it is reflexive, anti-symmetric and transitive. The pair is called a pomset. An order ideal of is a subset of such that if and with imply . An order ideal generated by is defined by
An order ideal generated by a subset of is defined by .
Consider the space and the multiset drawn from the set . The Lee weight of an element is defined as and the Lee block support of is defined as
where
The -weight of is given by
For ,
defines a metric over called pomset block metric. The pair is said to be a pomset block space.
Proposition 2.1.
Let be a pomset with . Let be the set and be a label with . Define a partial order on as
Then the -weight and -weight will coincide on .
Proof.
Take . Then can be written as with . Note that
Hence
∎
-
•
When the weight is the Hamming weight over , the -weight is the poset block weight proposed by Alves et al. in [References]. In particular, poset block metric deduces NRT block metric when is taken to be a chain and deduces poset metric when for all . Similarly, classical Hamming metric becomes a particular case of poset metric when is an anti-chain.
-
•
When the weight is the Lee weight over , the -weight is the pomset block weight. In particular, pomset block metric deduces pomset metric when for all . Particularly, pomset metric deduces Lee metric when with .
The diagram 1 illustrates these facts.
3 Linear isometries for weighted poset block spaces
In this section, we always assume that is a weight on , is a poset, is a labeling of the poset and which is isomorphic to .
Definition 3.
Let be a weighted poset block space. A linear isometry of is a linear transformation such that
for all . We also call a linear isometry as a -isometry.
Remark 3.1.
A linear transformation is a linear isometry of if and only if for all .
Remark 3.2.
We claim that a -isometry of is a bijection and its inverse is also a -isometry. In fact, if is a -isometry such that for with then
a contradiction. Therefore is injective. Since is a finite set, we have that is bijective. Let be the inverse of . For all , we have
It follows from the above discussion that the set of all -isometries of the weighted poset block space forms a group. We denoted it by and call it the group of linear isometries of .
We denote by be a canonical basis of which is an -linear space of dimension . Note that the set forms a canonical basis of .
Given , set:
Definition 4.
Let be a label and be a poset. An automorphism is called a -automorphism if, for all ,
We denote by the group of -automorphisms.
Theorem 2.
Let be a -automorphism on . Then the linear mapping given by
is a -isometry of . Furthermore, the map
defined by is an injective group homomorphism.
Proof.
Take . Then
which implies that
Therefore . It follows from the fact that is an order automorphism that . Then
Hence is a -isometry. We next show that is a group homomorphism. Let , be two -automorphisms on . One has
and the map is injective can be easily obtained by its definition. ∎
Proposition 3.1.
Let be a linear isomorphism such that for every and ,
where , and . Then is a -isometry of .
Proof.
Let where . Then
where and such that . Note that whenever , we have . Decompose as
where . As , implies that in . Then
Suppose that and for some . Then and hence in , a contradiction to the fact that is a maximal element of . Therefore for all and the -th component of is
If then . But implies that , a contradiction. Hence .
On the other hand, . In fact, if then the -th component of is
If then and for some , a contradiction. Thus for all and . Note that implies that . Therefore . If , then for some , a contradiction. Hence and thus .
As the -th component of is such that for all , we have
This completes our proof. ∎
Let be a canonical basis of . Then . We set . Let be a total ordering of the basis of such that appears before wherever for all . Without loss of generality, we suppose that is a total ordering basis of . Then follows that all elements of come before .
Let be the set of mappings defined in Proposition 3.1.
Corollary 3.1.
Let be a canonical base of defined as above. Given , we have
Moreover, can be represented by an upper triangular block matrix with respect to as following
where
and the element such that for all , where .
For each , the set is an ideal and it is known as the principal ideal generated by .
Theorem 3.
Let be a -isometry of . Then for every and , we have that is a principal ideal.
Proof.
We present the proof in three steps.
-
•
Step 1
We first prove that is a principal ideal. Let such that . Suppose that
where for all . Then . We now prove that there exists such that . Assume the contrary, namely that for all , one has
It follows from is a -isometry of that
which implies that for some . Suppose that for some , then
It follows that , a contradiction. Therefore, there exists such that and is a principal ideal. Since , the result follows.
-
•
Step 2
We next show that . It is sufficient to show that . Suppose that and . Then
Since preserves -weight, we have
It follows that is divisible by . As , we have that and . One can prove that and in similar way.
By the -weight preservation and linearity of ,
If , then
a contradiction. Thus . It follows from that .
-
•
Step 3
Let . From Step 2, we know that for some such that . Suppose that
where and such that . Then
If then . On the other hand,
a contradiction. Therefore and hence . This completes our proof.
∎
From the proof of Theorem 3, we obtain a corollary.
Corollary 3.2.
Let be a -isometry of . Then, for every , there is a unique such that and . Moreover, for , there is a non-zero vector and a vector such that and .
Theorem 4.
Let and . Let and let . Then
Proof.
It follows from Theorem 3 that and are principal ideals. By Corollary 3.2, it is sufficient to show that . Suppose that there are elements and in such that and . Then
where and such that for respectively.
Note that and . If , there is nothing to prove. So we assume that . This means that
-
•
Case 1: . It follows that and hence .
-
•
Case 2: . Then which implies that . Therefore . Hence
which implies that , a contradiction to the hypothesis that .
-
•
Case 3: . For , there exist , and such that
If the -th component of and the -th component of are both non-zeros. Then and , a contradiction to the assumption that . So, either or (here denotes the -th component of and denotes the -th component of ). By the -weight preservation and the linearity of ,
-
–
. Then which implies that and hence .
-
–
. Then . If , then
a contradiction.
-
–
∎
Corollary 3.3.
Given and , there is a unique such that and .
Proof.
Lemma 3.1.
Given . Let and be the unique element of determined by . Then .
Proof.
Consider a sequence of linear maps:
where is a restriction of on , is the canonical projection and is the isomorphism given by
Since , we have that is injective and hence .
We next show that . It is sufficient to show that there exists such that . Let . Then where such that and . By the linearity of , we have . Note that , otherwise
a contradiction to the fact that . Therefore . As
which implies that . By Corollary 3.2, we have . This completes our proof. ∎
Lemma 3.2.
Let be a -isometry of . Define the map as
where . Then is a -automorphism of .
Proof.
Recall that is the set of mappings defined in Proposition 3.1. In the following, we will show that is a normal subgroup of .
Lemma 3.3.
Consider the map given by
Then is a surjective group homomorphism and .
Proof.
Let , , and . Suppose that and . Take such that . Then where and such that . Meanwhile, where and satisfies . We can see that
Since and preserve -weight, we have
which implies that . Therefore where . It follows that .
Consider the map defined in Theorem 2, we can see that which implies that is surjective.
It remains to show that . It is clear that . On the other hand, if , then for every . Let . Suppose that where and , then
which implies that . Furthermore, we have . ∎
Denote by . It follows from Theorem 2 that .
Let denotes the set of all matrix over and
Theorem 5.
With the notations above, we have
Proof.
Let be a -isometry of . Let , then and
It remains to show that where is the identity mapping of . Suppose that . Since , we have . On the other hand for some and . Hence . ∎
4 Examples
Here we will illustrate our conclusion with some examples.
Example 4.1.
When the label satisfies for all , the weighted poset block metric induces weighted poset metric, , introduced in [References]. Immediate substitution gives that
Then the characterization of given in [References, Theorem 19] follows from Theorem 5 as a particular case:
Example 4.2.
When the weight on is the Hamming weight , the weighted poset block metric induces poset block metric introduced in [References]. Immediate substitution gives that
Then, the characterization of the group of linear isometries of follows from Theorem 5 as a particular case:
We remark that the results in Section 3 are also valid when we consider the Lee weight over instead of .
Example 4.3.
When the weight on is the Lee weight , the weighted poset block metric induced pomset block metric. Immediate substitution gives that
Then, the characterization of the group of linear isometries of follows from Theorem 5 as a particular case:
Example 4.4.
When is an anti-chain and the label satisfies
we have
In this case . Denote by the group of the linear transformation such that . Then we have
It follows from Theorem 5 that
Note that when , and is the group of linear transformation that preserves the weight . Then we have
5 MDS codes and perfect codes in weighted poset block metric
5.1 Basic definitions
In this section, the notation of , , and is the same as Section 3. A subset with cardinality is said to be an -code, where is endowed with the weighted poset block metric and
is the minimal -distance of . When the weight over is considered to be Hamming weight , we denote by . A linear -code is a subspace of .
Denote by the set of all ideals of . Now we state the Singleton bound for the case of weighted poset block metric over .
Theorem 6.
(Singleton Bound) Let be an -code. Let and . Then
Proof.
Let with . Let and be two distinct elements of . If and coincide in all positions out of , then
a contradiction. This means that any two distinct codewords of will differ in at least one position outside . Therefore there exists an injective map from to which implies that . Hence for any with . ∎
Remark 5.1.
Let be a chain with usual order and for all . For a linear -code , Theorem 6 deduces
which is the same as the Singleton bound for the case of weighted poset metric when is a linear code and is a chain [References, Corollary 24].
Remark 5.2.
Let be an -code with . When the weight is taken to be Hamming weight over , Theorem 6 deduces
which is the same as the Singleton bound for the case of poset block metric when is a linear code [References, Theorem 3.2]. Note that our results holds for non-linear codes as well.
Remark 5.3.
Let be a chain. Without loss of generality, we may assume that has the chain order . For an -code . Theorem 6 deduces
We now define a maximum distance separable -code.
Definition 5.
An -code is called a maximum distance separable (MDS) -code if it attains the Singleton bound.
Let and be two posets. We say that is finer than if in implies that in .
Lemma 5.1.
Let and be two posets such that is finer than . Let be a labeling such that . If is an MDS -code, then is an MDS -code.
Proof.
Let be an MDS -code with diameters . Then is an -code (here is the minimal -distance of ). Since is finer than , we have for which implies that . Then
and hence
Therefore
This forces that . Therefore is an MDS -code. ∎
Let be an anti-chain and be a poset. Then is finer than . When the weight on is taken to be the Hamming weight , we get the following result that appeared in [References]
Corollary 5.1.
If a code equipped with error-block metric is an MDS code, then it is also an MDS poset block code for every partial order defined on the set .
When for all and the weight on is taken to be the Lee weight , we can get the following result has been represented in [References].
Corollary 5.2.
Let be an code. Let be a pomset where and is a pomset relation on . If a code is an MDS code with Lee metric, then it is MDS pomset code for any pomset relation defined on .
Definition 6.
Let be a weight on . For , the -ball with center and radius is the set
When the wight over is considered to be Hamming weight, we denote by the -ball with center and radius .
Definition 7.
A code is said to be an -perfect -code if the -balls of radius centered at the codewords of are pairwise disjoint and their union is .
5.2 Weighted poset block metric with chain poset
In what follows, we always assume that is a chain defined by . Recall the notations given in (1) and (2), we have the following.
Theorem 7.
Let be a -code and . Then is -perfect if and only if there is a function
such that
Proof.
Assume that is -perfect. Let . As is a -perfect code, there exists such that which implies that . Since is a chain, we have
Therefore there exists such that and hence . Suppose there exists such that . Then and , a contradiction to the hypothesis that is an -perfect code. Thus we can define a function which sends to the unique such that .
On the contrary, suppose that there exists a function such that . Then
and thus . Furthermore, for any , one has . Therefore is a disjoint union and its order is . Thus, is -perfect. ∎
Remark 5.4.
If is a linear -code, then the function given in Theorem 7 is a linear map.
Proof.
Let . Then . Since is a linear code, we have that for which implies that . Therefore is a linear map. ∎
Definition 8.
The packing radius of a code is the largest radius of spheres centered at codewords so that the spheres are pairwise disjoint. We call a code is perfect if it is -perfect.
The following proposition is a generalization of [References, Lemma 21, Corollary 22] wherein the metric considered was weighted poset metric. The proof is on similar lines and hence omitted.
Proposition 5.1.
Let where and is an integer. Let and be a -code. Then
-
(1)
. Moreover, if and only if .
-
(2)
. Moreover, if and only if .
Theorem 8.
Let be a -code such that . Then is MDS if and only if is perfect.
Proof.
Suppose that is an MDS code. Then , where . Denote by . Since is a chain, we have that
Therefore
From the proof of Theorem 6, we have that there exists an injective map
and
It follows from Theorem 7 and Proposition 5.1 (2) that is -perfect, that is, is -perfect.
Conversely, if is a perfect code, then . It follows from Proposition 5.1 (1) that
Therefore
which implies that is an MDS -code. ∎
As a direct application, if we choose the weight on as the Hamming weight , we immediately get the following result that appeared in [References].
Corollary 5.3.
A poset block code is perfect if and only if is MDS with poset block metric.
Let be a labeling satisfing for every . Applying Theorem 8, we can get the following result which has represented in [References] and [References].
Corollary 5.4.
Let be a code with weighted poset metric. Then is MDS if and only if is perfect.
Remark 5.5.
Note that Theorem 8 is only applicable for the case when is considered to be a chain. It is not applicable for Hamming metric and Lee metric.
6 Conclusion
In this paper, we study weighted poset block metric over which is a generalization to metrics such as Hamming metric, Lee metric, poset metric, pomset metric, poset block metric and error-block metric and so on. We give a complete description of the groups of linear isometries of weighted poset block space in terms of a semi-direct product of its two subgroups. Note that our conclusion remains valid if we replace with where is an associative ring with identity and there exists a multiplicative invertible element such that . Moreover, basic parameters such as packing radius and bounds for minimum distance of weighted poset block codes are established and the relationship between MDS codes and perfect codes when the poset is considered to be a chain is investigated immediately.
References
- [1]
- [2] M.M.S. Alves, L. Panek, M. Firer, Error-block codes and poset metrics, Adv. Math. Commun. 2 (1) (2008) 95-111.
- [3]
- [4] R. Brualdi, J.S. Graves, M. Lawrence, Codes with a poset metric, Discrete Math. 147 (1) (1995) 57-72.
- [5]
- [6] S.H. Cho, D.S. Kim, Automorphism group of the crown-weight space, European Journal of Combinatorics. 27 (2006) 90-100.
- [7]
- [8] M.M. Deza and E. Deza, Encyclopedia Distance. Berlin, Germany: Springer-Verlag, 2009.
- [9]
- [10] B.K. Dass, Namita Sharma, Rashmi Verma, MDS and -perfect poset block codes, Finite Fields Appl. 62 (2020) 101620.
- [11]
- [12] K. Feng, L. Xu, F.J. Hickernell, Linear error-block codes, Finite Fields Appl. 12 (4) (2006) 638-652.
- [13]
- [14] E. Gabidulin, Metrics in coding theory, in Multiple Access Channel, E. Biglieri and L. Gyorfi, Eds. Amsterdam, The Netherlands: IOS Press, 2007.
- [15]
- [16] J.Y. Hyun, H.K. Kim, Maximum distance separable poset codes, Des. Codes Cryptogr. 48 (3) (2008) 247-261.
- [17]
- [18] J.Y. Hyun, H.K. Kim, J.R. Park, Weighted posets and diagraphs admitting the extended Hamming code to be a perfect code, IEEE Trans. Inf. Theory 65 (8) (2019) 4664-4672.
- [19]
- [20] D.S. Kim, Associacation schemes and MacWilliams dualities for Generalized Rosenbloom-Tsfasman poset, Dissertationes Math. 487 (2012), 49 pp.
- [21]
- [22] K. Lee, Automorphism group of the Rosenbloom-Tsfasman space, European J. Combin. 24 (2003) 607-612.
- [23]
- [24] R.A. Machado, M. Firer, Weights which respect support and NN-decoding, IEEE Trans. Inf. Theory 66 (6) (2020) 3664-3674.
- [25]
- [26] F.J. MacWilliams, N.J. Sloane, The Theory of Error-Correcting Codes, North-Holland, Amsterdam, 1998.
- [27]
- [28] H. Niederreiter, A combinatorial problem for vector spaces over finite fields,
- [29]
- [30] Rosenbloom M. Yu, M.A. Tasfasman, Codes for the -metric, Probl. Pereda. Inf. 33 (1) (1997) 45-52.
- [31]
- [32] L. Panek, M. Firer, M.M.S. Alves, Classification of Niederreiter- Rosenbloom-Tsfasman block codes, IEEE Trans. Inf. Theory 56 (10) (2010) 5207-5216.
- [33]
- [34] L. Panek, M. Firer, H.k. Kim, J.Y. Hyun, Groups of linear isometries on poset structures, Discrete Math. 308 (2008) 4116-4123.
- [35]
- [36] L. Panek, N. Panek, Optimal anticodes, diameter perfect codes, chains and weights, IEEE Trans. Inf. Theory 67 (7) 4255-4262.
- [37]
- [38] L. Panek, J.A. Pinheiro, General approach to poset and additive metrics, IEEE Trans. Inf. Theory 66 (11) (2020) 6823-6834.
- [39]
- [40] I. G. Sudha, R.S. Selvaraj, Codes with a pomset metric and constructions, Des. Codes Cryptogr. 86 (2018) 875-892.
- [41]
- [42] I. G. Sudha, R.S. Selvaraj, MacWilliams type identities for linear codes on certain pomsets: Chain, direct and ordinal sum of pomsets, Discrete Math. 343 (2020) 111782.
- [43]
- [44] I. G. Sudha, R.S. Selvaraj, MDS and -perfect codes in pomset metric, IEEE Trans. Inf. Theory 67 (3) (2021) 1622-1629.
- [45]
- [46] Y. Xu, H.B. Kan, G. Han, Fourier-reflexive partitions and group of linear isometries with respect to weighted poset metric, 2022 IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/ISIT50566.2022.9834567, 6 pages.
- [47]
- [48] Y. Xu, H.B. Kan, G. Han, Isometries and macwilliams extension property for weighted poset metric, arXiv:2202.01551 [cs.IT], https://doi.org/10.48550/arXiv.2202.01551.
- [49]