On the variance of average distance of subsets in the Hamming space

Let V be a finite set with q distinct elements. For a subset C of V n, denote var(C) the variance of the average Hamming distance of C. Let T (n,M; q) and R(n,M; q) denote the minimum and maximum variance of the average Hamming distance of subsets of V n with cardinality M, respectively. In this pa...

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Main Authors: Fu, Fang-Wei, Ling, San, Xing, Chaoping
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/96425
http://hdl.handle.net/10220/9840
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-964252023-02-28T19:22:51Z On the variance of average distance of subsets in the Hamming space Fu, Fang-Wei Ling, San Xing, Chaoping School of Physical and Mathematical Sciences DRNTU::Science::Mathematics::Discrete mathematics Let V be a finite set with q distinct elements. For a subset C of V n, denote var(C) the variance of the average Hamming distance of C. Let T (n,M; q) and R(n,M; q) denote the minimum and maximum variance of the average Hamming distance of subsets of V n with cardinality M, respectively. In this paper, we study T (n,M; q) and R(n,M; q) for general q. Using methods from coding theory, we derive upper and lower bounds on var(C), which generalize and unify the bounds for the case q = 2. These bounds enable us to determine the exact value for T (n,M; q) and R(n,M; q) in several cases. Accepted version 2013-04-18T09:06:19Z 2019-12-06T19:30:33Z 2013-04-18T09:06:19Z 2019-12-06T19:30:33Z 2004 2004 Journal Article Fu, F. W., Ling, S., & Xing, C. (2004). On the variance of average distance of subsets in the Hamming space. Discrete Applied Mathematics, 145(3), 465-478. 0166218X https://hdl.handle.net/10356/96425 http://hdl.handle.net/10220/9840 10.1016/j.dam.2004.08.004 en Discrete applied mathematics © 2004 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Discrete Applied Mathematics, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.dam.2004.08.004]. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Mathematics::Discrete mathematics
spellingShingle DRNTU::Science::Mathematics::Discrete mathematics
Fu, Fang-Wei
Ling, San
Xing, Chaoping
On the variance of average distance of subsets in the Hamming space
description Let V be a finite set with q distinct elements. For a subset C of V n, denote var(C) the variance of the average Hamming distance of C. Let T (n,M; q) and R(n,M; q) denote the minimum and maximum variance of the average Hamming distance of subsets of V n with cardinality M, respectively. In this paper, we study T (n,M; q) and R(n,M; q) for general q. Using methods from coding theory, we derive upper and lower bounds on var(C), which generalize and unify the bounds for the case q = 2. These bounds enable us to determine the exact value for T (n,M; q) and R(n,M; q) in several cases.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Fu, Fang-Wei
Ling, San
Xing, Chaoping
format Article
author Fu, Fang-Wei
Ling, San
Xing, Chaoping
author_sort Fu, Fang-Wei
title On the variance of average distance of subsets in the Hamming space
title_short On the variance of average distance of subsets in the Hamming space
title_full On the variance of average distance of subsets in the Hamming space
title_fullStr On the variance of average distance of subsets in the Hamming space
title_full_unstemmed On the variance of average distance of subsets in the Hamming space
title_sort on the variance of average distance of subsets in the hamming space
publishDate 2013
url https://hdl.handle.net/10356/96425
http://hdl.handle.net/10220/9840
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