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The '''Hamming scheme''', named after [[Richard Hamming]], is also known as the '''hyper-cubic association scheme''', and it is the most important example for [[coding theory]].<ref>P. Delsarte and V. I. Levenshtein, “Association schemes and coding theory,“ ''IEEE Trans. Inform. Theory'', vol. 44, no. 6, pp. 2477–2504, 1998.</ref><ref>P. Camion, "Codes and Association Schemes: Basic Properties of Association Schemes Relevant to Coding," in ''Handbook of Coding Theory'', V. S. Pless and W. C. Huffman, Eds., Elsevier, The Netherlands, 1998.</ref><ref>F. J. MacWilliams and N. J. A. Sloane, ''The Theory of Error-Correcting Codes'', Elsevier, New York, 1978.</ref> In this scheme <math>X=\mathcal{F}^n</math>, the set of binary vectors of length <math>n</math>, and two vectors <math>x</math>, <math>y\in \mathcal{F}^n</math> are <math>i</math>-th associates if they have [[Hamming distance]] <math>i</math> apart. | |||
Recall that an [[association scheme]] is visualized as a [[complete graph]] with labeled edges. The graph has <math>v</math> vertices, one for each point of <math>X</math>, and the edge joining vertices <math>x</math> and <math>y</math> is labeled <math>i</math> if <math>x</math> and <math>y</math> are <math>i</math>-th associates. Each edge has a unique label, and the number of triangles with a fixed base labeled <math>k</math> having the other edges labeled <math>i</math> and <math>j</math> is a constant <math>c_{ijk}</math>, depending on <math>i,j,k</math> but not on the choice of the base. In particular, each vertex is incident with exactly <math>c_{ii0}=v_{i}</math> edges labeled <math>i</math>; <math>v_{i}</math> is the [[Adjacency relation|valency]] of the [[Relation (mathematics)|relation]] <math>R_{i}</math>. | |||
The <math>c_{ijk}</math> in a '''Hamming scheme''' are given by | |||
: <math>c_{ijk} = \begin{cases} | |||
\dbinom{k}{\frac{i-j+k}{2}}\dbinom{n-k}{\frac{i+j-k}{2}}, & \text{if } i+j-k \text{ is even,} \\ | |||
\;\;\;\;\;\;\;\;\;\;0\;\;\;\;\;\;\;\;\;\;\;,\;\; & \text{if } i+j-k \text{ is odd.} \end{cases} </math> | |||
Here, <math>v=\left|X\right|=2^{n}</math> and <math>v_{i}=\binom{n}{i}</math>. The [[Matrix (mathematics)|matrices]] in the [[Bose–Mesner algebra|Bose-Mesner algebra]] are <math>2^{n}\times 2^{n}</math> [[Matrix (mathematics)|matrices]], with rows and columns labeled by vectors <math>x\in \mathcal{F}^{n}</math>. In particular the <math>\left(x,y\right)</math>-th entry of <math>D_{k}</math> is <math>1</math> if and only if | |||
<math>d_{H}(x,y)=k</math>. | |||
==References== | |||
{{reflist}} | |||
{{DEFAULTSORT:Hamming Scheme}} | |||
[[Category:Coding theory]] |
Revision as of 04:37, 11 November 2013
The Hamming scheme, named after Richard Hamming, is also known as the hyper-cubic association scheme, and it is the most important example for coding theory.[1][2][3] In this scheme , the set of binary vectors of length , and two vectors , are -th associates if they have Hamming distance apart.
Recall that an association scheme is visualized as a complete graph with labeled edges. The graph has vertices, one for each point of , and the edge joining vertices and is labeled if and are -th associates. Each edge has a unique label, and the number of triangles with a fixed base labeled having the other edges labeled and is a constant , depending on but not on the choice of the base. In particular, each vertex is incident with exactly edges labeled ; is the valency of the relation . The in a Hamming scheme are given by
Here, and . The matrices in the Bose-Mesner algebra are matrices, with rows and columns labeled by vectors . In particular the -th entry of is if and only if .
References
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- ↑ P. Delsarte and V. I. Levenshtein, “Association schemes and coding theory,“ IEEE Trans. Inform. Theory, vol. 44, no. 6, pp. 2477–2504, 1998.
- ↑ P. Camion, "Codes and Association Schemes: Basic Properties of Association Schemes Relevant to Coding," in Handbook of Coding Theory, V. S. Pless and W. C. Huffman, Eds., Elsevier, The Netherlands, 1998.
- ↑ F. J. MacWilliams and N. J. A. Sloane, The Theory of Error-Correcting Codes, Elsevier, New York, 1978.