New Geometric Large Sets

Let V be an n-dimensional vector space over the field of q elements. By a geometric t-[q^n, k, λ] design we mean a collection D of k-dimensional subspaces of V, called blocks, such that every t-dimensional subspace T of V appears in exactly λ blocks in D. A large set, LS [N] [t, k, q^n], of geometri...

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Other Authors: Hurley, Michael Robert (author)
Format: Others
Language:English
Published: Florida Atlantic University
Subjects:
Online Access:http://purl.flvc.org/fau/fd/FA00004732
http://purl.flvc.org/fau/fd/FA00004732
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spelling ndltd-fau.edu-oai-fau.digital.flvc.org-fau_339262019-07-04T03:55:32Z New Geometric Large Sets FA00004732 Hurley, Michael Robert (author) Magliveras, Spyros S. (Thesis advisor) Florida Atlantic University (Degree grantor) Charles E. Schmidt College of Science Department of Mathematical Sciences 84 p. application/pdf Electronic Thesis or Dissertation Text English Let V be an n-dimensional vector space over the field of q elements. By a geometric t-[q^n, k, λ] design we mean a collection D of k-dimensional subspaces of V, called blocks, such that every t-dimensional subspace T of V appears in exactly λ blocks in D. A large set, LS [N] [t, k, q^n], of geometric designs is a collection on N disjoint t-[q^n, k, λ] designs that partitions [V K], the collection of k-dimensional subspaces of V. In this work we construct non-isomorphic large sets using methods based on incidence structures known as the Kramer-Mesner matrices. These structures are induced by particular group actions on the collection of subspaces of the vector space V. Subsequently, we discuss and use computational techniques for solving certain linear problems of the form AX = B, where A is a large integral matrix and X is a {0,1} solution. These techniques involve (i) lattice basis-reduction, including variants of the LLL algorithm, and (ii) linear programming. Inspiration came from the 2013 work of Braun, Kohnert, Ostergard, and Wassermann, [17], who produced the first nontrivial large set of geometric designs with t ≥ 2. Bal Khadka and Michael Epstein provided the know-how for using the LLL and linear programming algorithms that we implemented to construct the large sets. Florida Atlantic University Group theory. Finite groups. Factorial experiment designs. Irregularities of distribution (Number theory) Combinatorial analysis. Includes bibliography. Dissertation (Ph.D.)--Florida Atlantic University, 2016. FAU Electronic Theses and Dissertations Collection Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. http://purl.flvc.org/fau/fd/FA00004732 http://purl.flvc.org/fau/fd/FA00004732 http://rightsstatements.org/vocab/InC/1.0/ https://fau.digital.flvc.org/islandora/object/fau%3A33926/datastream/TN/view/New%20Geometric%20Large%20Sets.jpg
collection NDLTD
language English
format Others
sources NDLTD
topic Group theory.
Finite groups.
Factorial experiment designs.
Irregularities of distribution (Number theory)
Combinatorial analysis.
spellingShingle Group theory.
Finite groups.
Factorial experiment designs.
Irregularities of distribution (Number theory)
Combinatorial analysis.
New Geometric Large Sets
description Let V be an n-dimensional vector space over the field of q elements. By a geometric t-[q^n, k, λ] design we mean a collection D of k-dimensional subspaces of V, called blocks, such that every t-dimensional subspace T of V appears in exactly λ blocks in D. A large set, LS [N] [t, k, q^n], of geometric designs is a collection on N disjoint t-[q^n, k, λ] designs that partitions [V K], the collection of k-dimensional subspaces of V. In this work we construct non-isomorphic large sets using methods based on incidence structures known as the Kramer-Mesner matrices. These structures are induced by particular group actions on the collection of subspaces of the vector space V. Subsequently, we discuss and use computational techniques for solving certain linear problems of the form AX = B, where A is a large integral matrix and X is a {0,1} solution. These techniques involve (i) lattice basis-reduction, including variants of the LLL algorithm, and (ii) linear programming. Inspiration came from the 2013 work of Braun, Kohnert, Ostergard, and Wassermann, [17], who produced the first nontrivial large set of geometric designs with t ≥ 2. Bal Khadka and Michael Epstein provided the know-how for using the LLL and linear programming algorithms that we implemented to construct the large sets. === Includes bibliography. === Dissertation (Ph.D.)--Florida Atlantic University, 2016. === FAU Electronic Theses and Dissertations Collection
author2 Hurley, Michael Robert (author)
author_facet Hurley, Michael Robert (author)
title New Geometric Large Sets
title_short New Geometric Large Sets
title_full New Geometric Large Sets
title_fullStr New Geometric Large Sets
title_full_unstemmed New Geometric Large Sets
title_sort new geometric large sets
publisher Florida Atlantic University
url http://purl.flvc.org/fau/fd/FA00004732
http://purl.flvc.org/fau/fd/FA00004732
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