Recent Progress in Algebraic Design Theory Qing Xiang1
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Small Symmetric Bibds and Abelian Difference Sets
A Small Symmetric BIBDs and Abelian Difference Sets We provide a summary of known existence and nonexistence results for “small” symmetric BIBDs and Abelian difference sets. In Table A.1, we list all parameter triples (v, k, λ) in which λ(v − 1)=k(k − 1), v/2 ≥ k ≥ 3, and 3 ≤ k ≤ 15 (if k > v/2, then apply block complementation, which was presented as Theorem 1.32, and/or Exercise 3.1). We use the following abbreviations in Table A.1. • “Singer” denotes a Singer difference set (Theorem 3.28). • “QR” denotes a quadratic residue difference set (Theorem 3.21). • “H” denotes a (4m − 1, 2m − 1, m − 1)-BIBDconstructed from a Hadamard matrix of order 4m via Theorem 4.5. • ( ) “PGd q ” denotes a projective geometry (Theorem 2.14). • “BRC” denotes the Bruck-Ryser-Chowla Theorems (Theorems 2.16 and 2.19). • “MT” denotes the Multiplier Theorem (Theorem 3.33). For existence of certain symmetric BIBDs and for the nonexistence of cer- tain difference sets, we refer to external sources. Note also that existence of a difference set implies the existence of the corresponding symmetric BIBD, and nonexistence of a symmetric BIBD implies nonexistence of a difference set with the same parameters in any (Abelian or non-Abelian) group. kvλ SBIBD notes difference set notes ( ) 371yes PG2 2 yes Singer ( ) 4131 yes PG2 3 yes Singer ( ) 5211 yes PG2 4 yes Singer 5 11 2 yes H yes QR ( ) 6311 yes PG2 5 yes Singer 6162 yes yes Example3.4 7431 no BRC no 7222 no BRC no ( ) 7153 yes PG3 2 ,H yes Singer ( ) 8571 yes PG2 7 yes Singer 8292 no BRC no ( ) 9731 yes PG2 8 yes -
Combinatorial Design Theory - Notes
COMBINATORIAL DESIGN THEORY - NOTES Alexander Rosa Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada Combinatorial design theory traces its origins to statistical theory of ex- perimental design but also to recreational mathematics of the 19th century and to geometry. In the past forty years combinatorial design theory has developed into a vibrant branch of combinatorics with its own aims, meth- ods and problems. It has found substantial applications in other branches of combinatorics, in graph theory, coding theory, theoetical computer science, statistics, and algebra, among others. The main problems in design theory are, generally speaking, those of the existence, enumeration and classifica- tion, structural properties, and applications. It is not the objective of these notes to give a comprehensive abbreviated overview of combinatorial design theory but rather to provide an introduc- tion to developing a solid basic knowledge of problems and methods of com- binatorial design theory, with an indication of its flavour and breadth, up to a level that will enable one to approach open research problems. Towards this objective, most of the needed definitions are provided. I. BASICS 1. BALANCED INCOMPLETE BLOCK DESIGNS One of the key notions in design theory, the notion of pairwise balance (or, more generally, t-wise balance), has its origin in the theory of statistical designs of experiments. Coupled with the requirement of a certain type of regularity, it leads to the notion of one of the most common types of combinatorial designs. 1991 Mathematics Subject Classification.. 1 2 A balanced incomplete block design (BIBD) with parameters (v; b; r; k; λ) is an ordered pair (V; B) where V is a finite v-element set of elements or points, B is a family of k-element subsets of V , called blocks such that every point is contained in exactly r blocks, and every 2-subset of V is contained in exactly λ blocks. -
RDS— a GAP4 Package for Relative Difference Sets
RDS — A GAP4 Package for Relative Difference Sets Version 1.7 by Marc Roder¨ Department of Mathematics, NUI Galway, Ireland marc [email protected] February 2019 Contents 1 About this package 3 8 Block Designs and Projective Planes 34 1.1 Acknowledgements . 3 8.1 Isomorphisms and Collineations . 36 1.2 Installation . 3 8.2 Central Collineations . 37 1.3 Verbosity . 4 8.3 Collineations on Baer Subplanes . 38 1.4 Definitions and Objects . 4 8.4 Invariants for Projective Planes . 39 2 AllDiffsets and OneDiffset 6 9 Some functions for everyday use 41 3 A basic example 8 9.1 Groups and actions . 41 3.1 First Step: Integers instead of group 9.2 Iterators . 41 elements . 8 9.3 Lists and Matrices . 42 3.2 Signatures: An important tool . 9 9.4 Cyclotomic numbers . 43 3.3 Change of coset vs. brute force . 10 9.5 Filters and Categories . 43 4 General concepts 12 Bibliography 45 4.1 Introduction . 12 Index 46 4.2 How partial difference sets are represented 13 4.3 Basic functions for startset generation . 13 4.4 Brute force methods . 17 5 Invariants for Difference Sets 19 5.1 The Coset Signature . 19 5.2 An invariant for large lambda . 24 5.3 Blackbox functions . 25 6 An Example Program 27 7 Ordered Signatures 30 7.1 Ordered signatures by quotient images 30 7.2 Ordered signatures using representations 31 7.3 Definition . 32 7.4 Methods for calculating ordered signatures 32 1 About this package The RDS package is meant to help with complete searches for relative difference sets in non-abelian groups. -
Partitioning Groups with Difference Sets Rebecca Funke
University of Richmond UR Scholarship Repository Honors Theses Student Research 2016 Partitioning groups with difference sets Rebecca Funke Follow this and additional works at: http://scholarship.richmond.edu/honors-theses Part of the Mathematics Commons Recommended Citation Funke, Rebecca, "Partitioning groups with difference sets" (2016). Honors Theses. Paper 956. This Thesis is brought to you for free and open access by the Student Research at UR Scholarship Repository. It has been accepted for inclusion in Honors Theses by an authorized administrator of UR Scholarship Repository. For more information, please contact [email protected]. Partitioning Groups with Difference sets Rebecca Funke Honors Thesis∗ Department of Mathematics & Computer Science University of Richmond ∗Under the direction of Dr. James A. Davis The signatures below, by the thesis advisor, the departmental reader, and the honors coordinator for mathematics, certify that this thesis, prepared by Rebecca Funke, has been approved, as to style and content. (Dr. James Davis, thesis advisor) (Dr. Della Dumbaugh, departmental reader) (Dr. Van Nall, honors coordinator) Abstract This thesis explores the use of difference sets to partition algebraic groups. Difference sets are a tool belonging to both group theory and combinatorics that provide symmetric properties that can be map into over mathematical fields such as design theory or coding theory. In my work, I will be taking algebraic groups and partitioning them into a subgroup and multiple McFarland difference sets. This partitioning can then be mapped to an association scheme. This bridge between difference sets and association schemes have important contributions to coding theory. Contents 0 Preliminaries 1 1 Introduction 1 1.1 Applications to design theory . -
Difference Sets
Difference Sets Definition Suppose that G = (G,+) is a finite group of order v with identity 0 written additively but not necessarily abelian. A (v,k,λ)-difference set in G is a subset D of G of size k such that the multiset {x-y| x,y ԑ D, x ≠ y} contains every element of G\{0} λ times. Example: In ℤ the set D = {0,1,3,9} is a (13,4,1)-difference 13 set. Consider 1 – 0 = 1 0 – 1 = -1 = 12 3 – 0 = 3 0 – 3 = -3 = 10 9 – 0 = 9 0 – 9 = -9 = 4 3 – 1 = 2 1 – 3 = -2 = 11 9 – 1 = 8 1 – 9 = -8 = 5 9 – 3 = 6 3 – 9 = -6 = 7 More Examples Example: D = {(0,1), (0,2), (0,3), (1,0), (2,0), (3,0)} is a (16,6,2) difference set in (ℤ x ℤ , +). 4 4 Example: D = {a, a2, b, b2, b4} is a (21, 5, 1)difference set in the non- abelian group G = {aibj: a3 = b7 = 1, ba = ab4}. Since this group is written multiplicatively the difference set definition takes on the form: {xy-1 | x, y ԑ D, x ≠ y} = G\{1}. So What? If a (v,k,λ)- difference set exists then λ(v-1) = k(k-1). This is immediate since the the LHS counts the number of non-zero elements of the set each with multiplicity λ, while the RHS counts the number of ordered pairs of distinct elements (each representing a difference). The notation and this relation seem to imply a relationship between difference sets and symmetric BIBDs. -
Difference Sets from Projective Planes
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Digital University Library Saxony-Anhalt Difference Sets From Projective Planes Dissertation zu Erlangung des akademischen Grades doctor rerum naturalium (Dr. rer. nat.) von M. Sc. Yue Zhou geb. am 16.07.1984 in Shanxi genehmigt durch die Fakultät für Mathematik der Otto-von-Guericke-Universität Magdeburg. Gutachter: Prof. Dr. Alexander Pott Prof. Dr. Michel Lavrauw eingereicht am: 28.03.2013 Verteidigung am: 28.06.2013 Zusammenfassung Wir befassen uns in dieser Dissertation mit mehreren Typen verallgemeinerter Differenzmengen in abelschen Gruppen. Zunächst konzentrieren wir uns auf (q, q, q, 1)-relative Differenzmengen mit ungeradem q. Diese sind äquivalent zu planaren Funktionen über Fq. Die mei- sten bekannten Beispiele führen zu kommutativen Halbkörpern. Eines unserer Hauptresultate ist die Konstruktion einer neuen Familie von Halbkörpern un- gerader Charakteristik. Wir bestimmen ihre linken, rechten und mittleren Nu- klei. Wir zeigen, dass dieser Halbkörper für bestimmte Parameter auf zwei nicht äquivalente planare Funktionen führen. Durch Anwendung der Charakter-Methode auf planare Funktionen über Fq mit q ungerade zeigen wir einige überraschende Beziehungen zwischen pla- naren Funktionen über Fpm und planaren Funktionen über Fp2m . Wir untersu- chen Projektionen und Hochhebungen von planaren Funktionen, wobei wir auch einen Ansatz der Kodierungstheorie ausnutzen. Wir geben einige Resultate com- putergestützter Rechnungen über die “Switchings” planarer Funktionen von F3n für n = 3, 4, 5, 6 an. n n n n Danach untersuchen wir (2 , 2 , 2 , 1)-relative Differenzmengen in C4 rela- n tiv zu C2 . Dabei werden zwei Darstellungen eingeführt, von denen eine das Analogon klassischer planarer Funktionen ist, welche auf Fq mit q ungerade de- finiert sind. -
Combinatorial Design Theory
Combinatorial Design Theory Peter Dukes (University of Victoria), Esther Lamken (University of California), Richard Wilson (California Institute of Technology) November 9 – November 14, 2008 1 Overview Combinatorial design theory is the study of arranging elements of a finite set into patterns (subsets, words, arrays) according to specified rules. Probably the main ob- ject under consideration is a balanced incomplete block design, or BIBD. Specifically, a (v, k, λ)-BIBD is a pair (V, B), where V is a set of v elements and B is a collection of subsets, or blocks, of V such that • every block contains exactly k points; and • every pair of distinct elements is contained in exactly λ blocks. Variations on this definition are commonly considered, and the term ‘design’ includes these similar contexts. Design theory is a field of combinatorics with close ties to several other areas of mathematics including group theory, the theory of finite fields, the theory of finite geometries, number theory, combinatorial matrix theory, and graph theory, and with a wide range of applications in areas such as information theory, statistics, computer science, biology, and engineering. Like most areas of combinatorics, design theory has grown up with computer science and it has experienced a tremendous amount of growth in the last 30 years. The field has developed subfields and groups depending on the main techniques used: combinatorial, algebraic, and algorithmic/computational. There are also groups primarily involved with applications such as in coding theory, cryptography, and computer science. As design theory has grown, researchers have become increasingly specialized and focussed in subfields. -
Theory of Block Designs
Final Report Theory Of Block Designs Parvathy S MS13020 Indian Institute of Science Education and Research, Mohali Under the supervision of Prof. B. Sury Theoretical Statistics And Mathematics Unit Indian Statistical Institute, Bangalore Acknowledgements It is with immense gratitude that I acknowledge the support and help of my Professor B.Sury, Indian Statistical Institute(ISI), Bangalore. I express my deep sense of gratitude to him for his lectures and meetings which helped me enlighten my knowledge. I take this opportunity to record my sincere thanks to the institution and my guide for the pleasant accommodation. I am also thankful to my parents and friends for their help and support. Parvathy S ii Abstract Combinatorial Design Theory is a branch of combinatorial mathematics which underlines the study of existence, construction and properties of finite sets whose arrangements satisfy some generalized concepts of balance and sym- metry.We focus primarily on Balanced Incomplete Block Designs. In this report, we deal with three chapters of which the first chapter deals with introduction to block designs and we mainly see the definition and properties of a particular kind of design, Balanced Incomplete Block Designs or BIBD's. Secondly, we shift our focus to explore a particular kind of BIBD, called symmetric BIBD's and we see the necessary and sufficient conditions for the existence of the same using the results from number theory. Finally we study the concept of difference sets and how it is related to symmetric BIBD's. We conclude the report with the proof of the multiplier theorem which uses results from algebra.