- Source: Dual code
In coding theory, the dual code of a linear code
C
⊂
F
q
n
{\displaystyle C\subset \mathbb {F} _{q}^{n}}
is the linear code defined by
C
⊥
=
{
x
∈
F
q
n
∣
⟨
x
,
c
⟩
=
0
∀
c
∈
C
}
{\displaystyle C^{\perp }=\{x\in \mathbb {F} _{q}^{n}\mid \langle x,c\rangle =0\;\forall c\in C\}}
where
⟨
x
,
c
⟩
=
∑
i
=
1
n
x
i
c
i
{\displaystyle \langle x,c\rangle =\sum _{i=1}^{n}x_{i}c_{i}}
is a scalar product. In linear algebra terms, the dual code is the annihilator of C with respect to the bilinear form
⟨
⋅
⟩
{\displaystyle \langle \cdot \rangle }
. The dimension of C and its dual always add up to the length n:
dim
C
+
dim
C
⊥
=
n
.
{\displaystyle \dim C+\dim C^{\perp }=n.}
A generator matrix for the dual code is the parity-check matrix for the original code and vice versa. The dual of the dual code is always the original code.
Self-dual codes
A self-dual code is one which is its own dual. This implies that n is even and dim C = n/2. If a self-dual code is such that each codeword's weight is a multiple of some constant
c
>
1
{\displaystyle c>1}
, then it is of one of the following four types:
Type I codes are binary self-dual codes which are not doubly even. Type I codes are always even (every codeword has even Hamming weight).
Type II codes are binary self-dual codes which are doubly even.
Type III codes are ternary self-dual codes. Every codeword in a Type III code has Hamming weight divisible by 3.
Type IV codes are self-dual codes over F4. These are again even.
Codes of types I, II, III, or IV exist only if the length n is a multiple of 2, 8, 4, or 2 respectively.
If a self-dual code has a generator matrix of the form
G
=
[
I
k
|
A
]
{\displaystyle G=[I_{k}|A]}
, then the dual code
C
⊥
{\displaystyle C^{\perp }}
has generator matrix
[
−
A
¯
T
|
I
k
]
{\displaystyle [-{\bar {A}}^{T}|I_{k}]}
, where
I
k
{\displaystyle I_{k}}
is the
(
n
/
2
)
×
(
n
/
2
)
{\displaystyle (n/2)\times (n/2)}
identity matrix and
a
¯
=
a
q
∈
F
q
{\displaystyle {\bar {a}}=a^{q}\in \mathbb {F} _{q}}
.
References
External links
MATH32031: Coding Theory - Dual Code - pdf with some examples and explanations
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