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	arXiv:1001.0001v1  [cs.IT]  30 Dec 2009On the structure of non-full-rank perfect codes | 
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	Olof Heden and Denis S. Krotov∗ | 
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	Abstract | 
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	The Krotov combining construction of perfect 1-error-corr ecting binary codes | 
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	from 2000 and a theorem of Heden saying that every non-full-r ank perfect 1-error- | 
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	correcting binary code can be constructed by this combining construction is gener- | 
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	alized to the q-ary case. Simply, every non-full-rank perfect code Cis the union of | 
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	a well-defined family of ¯ µ-components K¯µ, where ¯µbelongs to an “outer” perfect | 
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	codeC⋆, and these components are at distance three from each other. Compo- | 
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	nents from distinct codes can thus freely be combined to obta in new perfect codes. | 
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	The Phelps general product construction of perfect binary c ode from 1984 is gen- | 
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	eralized to obtain ¯ µ-components, and new lower bounds on the number of perfect | 
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	1-error-correcting q-ary codes are presented. | 
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	1. Introduction | 
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	LetFqdenote the finite field with qelements. A perfect1-error-correcting q-ary code of | 
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	lengthn, for short here a perfect code , is a subset Cof the direct product Fn | 
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	q, ofncopies of | 
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	Fq, having the property that any element of Fn | 
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	qdiffers in at most one coordinate position | 
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	from a unique element of C. | 
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	The family of all perfect codes is far from classified or enumerated. We will in this | 
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	short note say something about the structure of these codes. W e need the concept of | 
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	rank. | 
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	We consider Fn | 
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	qas a vector space of dimension nover the finite field Fq. Therank | 
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	of aq-ary codeC, here denoted rank( C), is the dimension of the linear span < C >of | 
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	the elements of C. Trivial, and well known, counting arguments give that if there exist s | 
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	a perfect code in Fn | 
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	qthenn= (qm−1)/(q−1), for some integer m, and|C|=qn−m. So, | 
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	for every perfect code C, | 
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	n−m≤rank(C)≤n. | 
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	If rank(C) =nwe will say that Chasfull rank. | 
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	∗This research collaboration was partially supported by a grant from Swedish Institute; the work of | 
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	the second author was partially supported by the Federal Target Program “Scientific and Educational | 
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	PersonnelofInnovation Russia”for 2009-2013(governmentco ntract No. 02.740.11.0429)and the Russian | 
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	Foundation for Basic Research (grant 08-01-00673). | 
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	1We will show thatevery non-full-rankperfect code isa unionofso ca lled ¯µ-components | 
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	K¯µ, and that these components may be enumerated by some other pe rfect codeC⋆, i.e, | 
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	¯µ∈C⋆. Further, the distance between any two such components will be a t least three. | 
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	This implies that we will be completely free to combine ¯ µ-components from different | 
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	perfect codesofsamelength, toobtainotherperfect codes. Ge neralizing aconstruction by | 
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	Phelps of perfect 1-error correcting binary codes [8], we will obtain further ¯µ-components. | 
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	As an application of our results we will be able to slightly improve the lowe r bound on | 
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	the number of perfect codes given in [6]. | 
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	Our results generalize corresponding results for the binary case. In [3] it was shown | 
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	that a binary perfect code can be constructed as the union of diffe rent subcodes (¯ µ- | 
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	components) satisfying some generalized parity-check property , each of them being con- | 
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	structed independently or taken from another perfect code. In [2] it was shown that every | 
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	non-full-rank perfect binary code can be obtained by this combining construction. | 
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	2. Every non-full-rank perfect code is the union of ¯µ- | 
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	components | 
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	We start with some notation. Assume we have positive integers n,t,n1, ...,ntsuch that | 
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	n1+...+nt≤n. Anyq-aryword ¯xwill berepresented intheblockform ¯ x= (¯x1|¯x2|...| | 
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	¯xt|¯x0) = (¯x∗|¯x0), where ¯xi= (xi1,xi2,...,x ini),i= 0,1,...,t,n0=n−n1−...−nt, | 
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	¯x∗= (¯x1|¯x2|...|¯xt). For every block ¯ xi,i= 1,2,...,t, we define σi(¯xi) by | 
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	σi(¯xi) =ni/summationdisplay | 
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	j=1xij, | 
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	and, for ¯x, | 
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	¯σ(¯x) = ¯σ(¯x∗) = (σ1(¯x1),σ2(¯x2),...,σ t(¯xt)) | 
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	Recall that the Hamming distance d(¯x,¯y) between two words ¯ x, ¯yof the same length | 
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	means the number of positions in which they differ. | 
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	Amonomial transformation is a map of the space Fn | 
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	qthat can be composed by a | 
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	permutation of the set of coordinate positions and the multiplication in each coordinate | 
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	position with some non-zero element of the finite field Fq. | 
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	Aq-ary codeCislinearifCis a subspace of Fn | 
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	q. A linear perfect code is called a | 
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	Hamming code . | 
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	Theorem 1. LetCbe any non-full-rank perfect code Cof lengthn= (qm−1)/(q−1). | 
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	To any integer r<m, satisfying | 
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	1≤r≤n−rank(C), | 
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	there is aq-ary Hamming code C⋆of lengtht= (qr−1)/(q−1), such that for some | 
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	monomial transformation ψ | 
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	ψ(C) =/uniondisplay | 
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	¯µ∈C⋆K¯µ, | 
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	2where | 
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	K¯µ={(¯x1|¯x2|...|¯xt|¯x0) : ¯σ(¯x) = ¯µ,¯x1,¯x2,...,¯xt∈Fqs | 
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	q,¯x0∈C¯µ(¯x∗)}(1) | 
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	for some family of perfect codes C¯µ(¯x), of length 1+q+q2+...+qs−1, wheres=m−r, | 
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	and satisfying, for each ¯µ∈C⋆, | 
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	d(¯x∗,¯x′ | 
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	∗)≤2 =⇒C¯µ(¯x∗)∩C¯µ(¯x′ | 
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	∗) =∅. (2) | 
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	The codeC⋆will be called an outercode toψ(C). The subcodes K¯µwill be called | 
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	¯µ-components ofψ(C). As the minimum distance of Cis three, the distance between any | 
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	two distinct ¯ µ-components will be at least three. | 
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	Proof. LetDbe any subspace of Fn | 
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	qcontaining<C >, and of dimension n−r. By | 
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	using a monomial transformation ψof space we may achieve that the dual space of ψ(D) | 
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	is the nullspace of a r×n-matrix | 
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	H= | 
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	| | | | | | | | | 
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	¯α11···¯α1n1¯α21···¯α2n2···¯αt1···¯αtnt¯0···¯0 | 
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	| | | | | | | | | 
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	 | 
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	where ¯αij= ¯αi, fori= 1,2,...,t, the first non-zero coordinate in each vector ¯ αiequals | 
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	1, ¯αi/ne}ationslash= ¯αi′, fori/ne}ationslash=i′, and where the columns of Hare in lexicographic order, according | 
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	to some given ordering of Fq. | 
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	To avoid too much notation we assume that Cwas such that ψ= id. | 
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	LetC⋆be the null space of the matrix | 
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