Английская Википедия:Enumerator polynomial

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Шаблон:Short description In coding theory, the weight enumerator polynomial of a binary linear code specifies the number of words of each possible Hamming weight.

Let <math>C \subset \mathbb{F}_2^n</math> be a binary linear code length <math>n</math>. The weight distribution is the sequence of numbers

<math> A_t = \#\{c \in C \mid w(c) = t \} </math>

giving the number of codewords c in C having weight t as t ranges from 0 to n. The weight enumerator is the bivariate polynomial

<math> W(C;x,y) = \sum_{w=0}^n A_w x^w y^{n-w}.</math>

Basic properties

1. <math> W(C;0,1) = A_{0}=1 </math>
2. <math> W(C;1,1) = \sum_{w=0}^{n}A_{w}=|C| </math>
3. <math> W(C;1,0) = A_{n}= 1 \mbox{ if } (1,\ldots,1)\in C\ \mbox{ and } 0 \mbox{ otherwise} </math>
4. <math> W(C;1,-1) = \sum_{w=0}^{n}A_{w}(-1)^{n-w} = A_{n}+(-1)^{1}A_{n-1}+\ldots+(-1)^{n-1}A_{1}+(-1)^{n}A_{0} </math>

MacWilliams identity

Denote the dual code of <math>C \subset \mathbb{F}_2^n</math> by

<math>C^\perp = \{x \in \mathbb{F}_2^n \,\mid\, \langle x,c\rangle = 0 \mbox{ }\forall c \in C \} </math>

(where <math>\langle\ ,\ \rangle</math> denotes the vector dot product and which is taken over <math>\mathbb{F}_2</math>).

The MacWilliams identity states that

<math>W(C^\perp;x,y) = \frac{1}{\mid C \mid} W(C;y-x,y+x). </math>

The identity is named after Jessie MacWilliams.

Distance enumerator

The distance distribution or inner distribution of a code C of size M and length n is the sequence of numbers

<math> A_i = \frac{1}{M} \# \left\lbrace (c_1,c_2) \in C \times C \mid d(c_1,c_2) = i \right\rbrace </math>

where i ranges from 0 to n. The distance enumerator polynomial is

<math> A(C;x,y) = \sum_{i=0}^n A_i x^i y^{n-i} </math>

and when C is linear this is equal to the weight enumerator.

The outer distribution of C is the 2ⁿ-by-n+1 matrix B with rows indexed by elements of GF(2)ⁿ and columns indexed by integers 0...n, and entries

<math> B_{x,i} = \# \left\lbrace c \in C \mid d(c,x) = i \right\rbrace . </math>

The sum of the rows of B is M times the inner distribution vector (A₀,...,A_n).

A code C is regular if the rows of B corresponding to the codewords of C are all equal.

References

• Шаблон:Cite book
• Шаблон:Cite book
• Шаблон:Cite book Chapters 3.5 and 4.3.