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Bar product

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In information theory, the bar product of two linear codes C2 ⊆ C1 is defined as

C 1 C 2 = { ( c 1 c 1 + c 2 ) : c 1 C 1 , c 2 C 2 } , {\displaystyle C_{1}\mid C_{2}=\{(c_{1}\mid c_{1}+c_{2}):c_{1}\in C_{1},c_{2}\in C_{2}\},}

where (a | b) denotes the concatenation of a and b. If the code words in C1 are of length n, then the code words in C1 | C2 are of length 2n.

The bar product is an especially convenient way of expressing the Reed–Muller RM (dr) code in terms of the Reed–Muller codes RM (d − 1, r) and RM (d − 1, r − 1).

The bar product is also referred to as the | u | u+v | construction or (u | u + v) construction.

Properties

Rank

The rank of the bar product is the sum of the two ranks:

rank ( C 1 C 2 ) = rank ( C 1 ) + rank ( C 2 ) {\displaystyle \operatorname {rank} (C_{1}\mid C_{2})=\operatorname {rank} (C_{1})+\operatorname {rank} (C_{2})\,}

Proof

Let { x 1 , , x k } {\displaystyle \{x_{1},\ldots ,x_{k}\}} be a basis for C 1 {\displaystyle C_{1}} and let { y 1 , , y l } {\displaystyle \{y_{1},\ldots ,y_{l}\}} be a basis for C 2 {\displaystyle C_{2}} . Then the set

{ ( x i x i ) 1 i k } { ( 0 y j ) 1 j l } {\displaystyle \{(x_{i}\mid x_{i})\mid 1\leq i\leq k\}\cup \{(0\mid y_{j})\mid 1\leq j\leq l\}}

is a basis for the bar product C 1 C 2 {\displaystyle C_{1}\mid C_{2}} .

Hamming weight

The Hamming weight w of the bar product is the lesser of (a) twice the weight of C1, and (b) the weight of C2:

w ( C 1 C 2 ) = min { 2 w ( C 1 ) , w ( C 2 ) } . {\displaystyle w(C_{1}\mid C_{2})=\min\{2w(C_{1}),w(C_{2})\}.\,}

Proof

For all c 1 C 1 {\displaystyle c_{1}\in C_{1}} ,

( c 1 c 1 + 0 ) C 1 C 2 {\displaystyle (c_{1}\mid c_{1}+0)\in C_{1}\mid C_{2}}

which has weight 2 w ( c 1 ) {\displaystyle 2w(c_{1})} . Equally

( 0 c 2 ) C 1 C 2 {\displaystyle (0\mid c_{2})\in C_{1}\mid C_{2}}

for all c 2 C 2 {\displaystyle c_{2}\in C_{2}} and has weight w ( c 2 ) {\displaystyle w(c_{2})} . So minimising over c 1 C 1 , c 2 C 2 {\displaystyle c_{1}\in C_{1},c_{2}\in C_{2}} we have

w ( C 1 C 2 ) min { 2 w ( C 1 ) , w ( C 2 ) } {\displaystyle w(C_{1}\mid C_{2})\leq \min\{2w(C_{1}),w(C_{2})\}}

Now let c 1 C 1 {\displaystyle c_{1}\in C_{1}} and c 2 C 2 {\displaystyle c_{2}\in C_{2}} , not both zero. If c 2 0 {\displaystyle c_{2}\not =0} then:

w ( c 1 c 1 + c 2 ) = w ( c 1 ) + w ( c 1 + c 2 ) w ( c 1 + c 1 + c 2 ) = w ( c 2 ) w ( C 2 ) {\displaystyle {\begin{aligned}w(c_{1}\mid c_{1}+c_{2})&=w(c_{1})+w(c_{1}+c_{2})\\&\geq w(c_{1}+c_{1}+c_{2})\\&=w(c_{2})\\&\geq w(C_{2})\end{aligned}}}

If c 2 = 0 {\displaystyle c_{2}=0} then

w ( c 1 c 1 + c 2 ) = 2 w ( c 1 ) 2 w ( C 1 ) {\displaystyle {\begin{aligned}w(c_{1}\mid c_{1}+c_{2})&=2w(c_{1})\\&\geq 2w(C_{1})\end{aligned}}}

so

w ( C 1 C 2 ) min { 2 w ( C 1 ) , w ( C 2 ) } {\displaystyle w(C_{1}\mid C_{2})\geq \min\{2w(C_{1}),w(C_{2})\}}

See also

References

  1. F.J. MacWilliams; N.J.A. Sloane (1977). The Theory of Error-Correcting Codes. North-Holland. p. 76. ISBN 0-444-85193-3.
  2. J.H. van Lint (1992). Introduction to Coding Theory. GTM. Vol. 86 (2nd ed.). Springer-Verlag. p. 47. ISBN 3-540-54894-7.
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