In the mathematics of coding theory, the Griesmer bound, named after James Hugo Griesmer, is a bound on the length of linear binary codes of dimension k and minimum distance d.
There is also a very similar version for non-binary codes.
For a binary linear code, the Griesmer bound is:
Let denote the minimum length of a binary code of dimension k and distance d. Let C be such a code. We want to show that
Let G be a generator matrix of C. We can always suppose that the first row of G is of the form r = (1, ..., 1, 0, ..., 0) with weight d.
The matrix generates a code , which is called the residual code of obviously has dimension and length has a distance but we don't know it. Let be such that . There exists a vector such that the concatenation Then On the other hand, also since and is linear: But
so this becomes . By summing this with we obtain . But so we get As is integral, we get This implies
so that
By induction over k we will eventually get
Note that at any step the dimension decreases by 1 and the distance is halved, and we use the identity
for any integer a and positive integer k.
For a linear code over , the Griesmer bound becomes:
The proof is similar to the binary case and so it is omitted.
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In the mathematics of coding theory, the Plotkin bound, named after Morris Plotkin, is a limit (or bound) on the maximum possible number of codewords in binary codes of given length n and given minimum distance d. A code is considered "binary" if the codewords use symbols from the binary alphabet . In particular, if all codewords have a fixed length n, then the binary code has length n. Equivalently, in this case the codewords can be considered elements of vector space over the finite field .
In applied mathematics, the Johnson bound (named after Selmer Martin Johnson) is a limit on the size of error-correcting codes, as used in coding theory for data transmission or communications. Let be a q-ary code of length , i.e. a subset of . Let be the minimum distance of , i.e. where is the Hamming distance between and . Let be the set of all q-ary codes with length and minimum distance and let denote the set of codes in such that every element has exactly nonzero entries. Denote by the number of elements in .
In coding theory, the Singleton bound, named after Richard Collom Singleton, is a relatively crude upper bound on the size of an arbitrary block code with block length , size and minimum distance . It is also known as the Joshibound. proved by and even earlier by . The minimum distance of a set of codewords of length is defined as where is the Hamming distance between and . The expression represents the maximum number of possible codewords in a -ary block code of length and minimum distance .