Automated Theorem Proving in Quasigroup and Loop Theory ∗ J
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On Free Quasigroups and Quasigroup Representations Stefanie Grace Wang Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2017 On free quasigroups and quasigroup representations Stefanie Grace Wang Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Mathematics Commons Recommended Citation Wang, Stefanie Grace, "On free quasigroups and quasigroup representations" (2017). Graduate Theses and Dissertations. 16298. https://lib.dr.iastate.edu/etd/16298 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. On free quasigroups and quasigroup representations by Stefanie Grace Wang A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Mathematics Program of Study Committee: Jonathan D.H. Smith, Major Professor Jonas Hartwig Justin Peters Yiu Tung Poon Paul Sacks The student author and the program of study committee are solely responsible for the content of this dissertation. The Graduate College will ensure this dissertation is globally accessible and will not permit alterations after a degree is conferred. Iowa State University Ames, Iowa 2017 Copyright c Stefanie Grace Wang, 2017. All rights reserved. ii DEDICATION I would like to dedicate this dissertation to the Integral Liberal Arts Program. The Program changed my life, and I am forever grateful. It is as Aristotle said, \All men by nature desire to know." And Montaigne was certainly correct as well when he said, \There is a plague on Man: his opinion that he knows something." iii TABLE OF CONTENTS LIST OF TABLES . -
Quasigroup Identities and Mendelsohn Designs
Can. J. Math., Vol. XLI, No. 2, 1989, pp. 341-368 QUASIGROUP IDENTITIES AND MENDELSOHN DESIGNS F. E. BENNETT 1. Introduction. A quasigroup is an ordered pair (g, •), where Q is a set and (•) is a binary operation on Q such that the equations ax — b and ya — b are uniquely solvable for every pair of elements a,b in Q. It is well-known (see, for example, [11]) that the multiplication table of a quasigroup defines a Latin square, that is, a Latin square can be viewed as the multiplication table of a quasigroup with the headline and sideline removed. We are concerned mainly with finite quasigroups in this paper. A quasigroup (<2, •) is called idempotent if the identity x2 = x holds for all x in Q. The spectrum of the two-variable quasigroup identity u(x,y) = v(x,y) is the set of all integers n such that there exists a quasigroup of order n satisfying the identity u(x,y) = v(x,y). It is particularly useful to study the spectrum of certain two-variable quasigroup identities, since such identities are quite often instrumental in the construction or algebraic description of combinatorial designs (see, for example, [1, 22] for a brief survey). If 02? ®) is a quasigroup, we may define on the set Q six binary operations ®(1,2,3),<8)(1,3,2),®(2,1,3),®(2,3,1),(8)(3,1,2), and 0(3,2,1) as follows: a (g) b = c if and only if a <g> (1,2, 3)b = c,a® (1, 3,2)c = 6, b ® (2,1,3)a = c, ft <g> (2,3, l)c = a, c ® (3,1,2)a = ft, c ® (3,2, \)b = a. -
Right Product Quasigroups and Loops
RIGHT PRODUCT QUASIGROUPS AND LOOPS MICHAEL K. KINYON, ALEKSANDAR KRAPEZˇ∗, AND J. D. PHILLIPS Abstract. Right groups are direct products of right zero semigroups and groups and they play a significant role in the semilattice decomposition theory of semigroups. Right groups can be characterized as associative right quasigroups (magmas in which left translations are bijective). If we do not assume associativity we get right quasigroups which are not necessarily representable as direct products of right zero semigroups and quasigroups. To obtain such a representation, we need stronger assumptions which lead us to the notion of right product quasigroup. If the quasigroup component is a (one-sided) loop, then we have a right product (left, right) loop. We find a system of identities which axiomatizes right product quasigroups, and use this to find axiom systems for right product (left, right) loops; in fact, we can obtain each of the latter by adjoining just one appropriate axiom to the right product quasigroup axiom system. We derive other properties of right product quasigroups and loops, and conclude by show- ing that the axioms for right product quasigroups are independent. 1. Introduction In the semigroup literature (e.g., [1]), the most commonly used definition of right group is a semigroup (S; ·) which is right simple (i.e., has no proper right ideals) and left cancellative (i.e., xy = xz =) y = z). The structure of right groups is clarified by the following well-known representation theorem (see [1]): Theorem 1.1. A semigroup (S; ·) is a right group if and only if it is isomorphic to a direct product of a group and a right zero semigroup. -
On the Representation of Boolean Magmas and Boolean Semilattices
Chapter 1 On the representation of Boolean magmas and Boolean semilattices P. Jipsen, M. E. Kurd-Misto and J. Wimberley Abstract A magma is an algebra with a binary operation ·, and a Boolean magma is a Boolean algebra with an additional binary operation · that distributes over all finite Boolean joins. We prove that all square-increasing (x ≤ x2) Boolean magmas are embedded in complex algebras of idempotent (x = x2) magmas. This solves a problem in a recent paper [3] by C. Bergman. Similar results are shown to hold for commutative Boolean magmas with an identity element and a unary inverse operation, or with any combination of these properties. A Boolean semilattice is a Boolean magma where · is associative, com- mutative, and square-increasing. Let SL be the class of semilattices and let S(SL+) be all subalgebras of complex algebras of semilattices. All members of S(SL+) are Boolean semilattices and we investigate the question of which Boolean semilattices are representable, i.e., members of S(SL+). There are 79 eight-element integral Boolean semilattices that satisfy a list of currently known axioms of S(SL+). We show that 72 of them are indeed members of S(SL+), leaving the remaining 7 as open problems. 1.1 Introduction The study of complex algebras of relational structures is a central part of algebraic logic and has a long history. In the classical setting, complex al- gebras connect Kripke semantics for polymodal logics to Boolean algebras with normal operators. Several varieties of Boolean algebras with operators are generated by the complex algebras of a standard class of relational struc- tures. -
Binary Opera- Tions, Magmas, Monoids, Groups, Rings, fields and Their Homomorphisms
1. Introduction In this chapter, I introduce some of the fundamental objects of algbera: binary opera- tions, magmas, monoids, groups, rings, fields and their homomorphisms. 2. Binary Operations Definition 2.1. Let M be a set. A binary operation on M is a function · : M × M ! M often written (x; y) 7! x · y. A pair (M; ·) consisting of a set M and a binary operation · on M is called a magma. Example 2.2. Let M = Z and let + : Z × Z ! Z be the function (x; y) 7! x + y. Then, + is a binary operation and, consequently, (Z; +) is a magma. Example 2.3. Let n be an integer and set Z≥n := fx 2 Z j x ≥ ng. Now suppose n ≥ 0. Then, for x; y 2 Z≥n, x + y 2 Z≥n. Consequently, Z≥n with the operation (x; y) 7! x + y is a magma. In particular, Z+ is a magma under addition. Example 2.4. Let S = f0; 1g. There are 16 = 42 possible binary operations m : S ×S ! S . Therefore, there are 16 possible magmas of the form (S; m). Example 2.5. Let n be a non-negative integer and let · : Z≥n × Z≥n ! Z≥n be the operation (x; y) 7! xy. Then Z≥n is a magma. Similarly, the pair (Z; ·) is a magma (where · : Z×Z ! Z is given by (x; y) 7! xy). Example 2.6. Let M2(R) denote the set of 2 × 2 matrices with real entries. If ! ! a a b b A = 11 12 , and B = 11 12 a21 a22 b21 b22 are two matrices, define ! a b + a b a b + a b A ◦ B = 11 11 12 21 11 12 12 22 : a21b11 + a22b21 a21b12 + a22b22 Then (M2(R); ◦) is a magma. -
The Characteristics of Some Kinds of Special Quasirings *
ISSN 1746-7659, England, UK Journal of Information and Computing Science Vol. 1, No. 5, 2006, pp. 295-302 The Characteristics of Some Kinds of Special Quasirings * Ping Zhu1, Jinhui Pang 2, Xu-qing Tang3 1 School of Science, Southern Yangtze University, Wuxi, Jiangsu 214122, P. R. China + 2 School of Management & Economics, Beijing Institute Of Technology, Beijing, 100081, P. R. China 3 Key Laboratory of Intelligent Computing &Signal Processing of Ministry of Education, Anhui University, Hefei, 230039, P. R. China ( Received July 02, 2006, Accepted September 11, 2006 ) Abstract. By using quasi-group, we introduce some kinds of special quasi-rings and discuss their characteristics. According to the concept of monogenic semigroup we introduce definition of monogenic semiring and discuss the numbers and structures of monogenic semiring .Then we display their relations as following: Ø {integral domain }(∉ { strong biquasiring }) {}division ring Ø {}({int})strong biquasiring∉ egral domain Ø {}ring ØØØ{}biquasiring {}{} quasiring semiring Ø {}monogenic semiring Keywords: Semiring, Quasiring, Biquasiring, Strong Biquasiring, Monogenic Semiring AMS: Subject Classification (2000): 20M07, 20M10 1. Introduction A semiring[1] S = (S,+,•) is an algebra where both the additive reduct (S,+) and the multiplicative reduct (S,•) are semigroups and such that the following distributive laws hold: x( y + z) = xy + xz, (x + y)z = xz + yz . A semiring (,,)S + • is called a nilsemiring if there are additive idempotent 0 and for any a∈S ,there are n∈N , such that na = 0 . An ideal (prime ideal) of a semiring (S,+,•) is the ideal (prime ideal) of the (S,•). An ideal I of a semiring S is called a K-ideal[1], if ∀a,b ∈ S, a ∈ I and (a + b ∈ I or b + a ∈ I ) ⇒ b ∈ I . -
A Guide to Self-Distributive Quasigroups, Or Latin Quandles
A GUIDE TO SELF-DISTRIBUTIVE QUASIGROUPS, OR LATIN QUANDLES DAVID STANOVSKY´ Abstract. We present an overview of the theory of self-distributive quasigroups, both in the two- sided and one-sided cases, and relate the older results to the modern theory of quandles, to which self-distributive quasigroups are a special case. Most attention is paid to the representation results (loop isotopy, linear representation, homogeneous representation), as the main tool to investigate self-distributive quasigroups. 1. Introduction 1.1. The origins of self-distributivity. Self-distributivity is such a natural concept: given a binary operation on a set A, fix one parameter, say the left one, and consider the mappings ∗ La(x) = a x, called left translations. If all such mappings are endomorphisms of the algebraic structure (A,∗ ), the operation is called left self-distributive (the prefix self- is usually omitted). Equationally,∗ the property says a (x y) = (a x) (a y) ∗ ∗ ∗ ∗ ∗ for every a, x, y A, and we see that distributes over itself. Self-distributivity∈ was pinpointed already∗ in the late 19th century works of logicians Peirce and Schr¨oder [69, 76], and ever since, it keeps appearing in a natural way throughout mathematics, perhaps most notably in low dimensional topology (knot and braid invariants) [12, 15, 63], in the theory of symmetric spaces [57] and in set theory (Laver’s groupoids of elementary embeddings) [15]. Recently, Moskovich expressed an interesting statement on his blog [60] that while associativity caters to the classical world of space and time, distributivity is, perhaps, the setting for the emerging world of information. -
Semilattice Sums of Algebras and Mal'tsev Products of Varieties
Mathematics Publications Mathematics 5-20-2020 Semilattice sums of algebras and Mal’tsev products of varieties Clifford Bergman Iowa State University, [email protected] T. Penza Warsaw University of Technology A. B. Romanowska Warsaw University of Technology Follow this and additional works at: https://lib.dr.iastate.edu/math_pubs Part of the Algebra Commons The complete bibliographic information for this item can be found at https://lib.dr.iastate.edu/ math_pubs/215. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Article is brought to you for free and open access by the Mathematics at Iowa State University Digital Repository. It has been accepted for inclusion in Mathematics Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Semilattice sums of algebras and Mal’tsev products of varieties Abstract The Mal’tsev product of two varieties of similar algebras is always a quasivariety. We consider when this quasivariety is a variety. The main result shows that if V is a strongly irregular variety with no nullary operations, and S is a variety, of the same type as V, equivalent to the variety of semilattices, then the Mal’tsev product V ◦ S is a variety. It consists precisely of semilattice sums of algebras in V. We derive an equational basis for the product from an equational basis for V. However, if V is a regular variety, then the Mal’tsev product may not be a variety. We discuss examples of various applications of the main result, and examine some detailed representations of algebras in V ◦ S. -
Mathematica Balkanica ————————— Analysis of Some Quasigroup Transformations As Boolean Functions Aleksandra Mi
Mathematica B a l k a n i c a ||||||||| New Series Vol. 26, 2012, Fasc. 3{4 Analysis of Some Quasigroup Transformations as Boolean Functions Aleksandra Mileva Presented at MASSEE International Conference on Mathematics MICOM-2009 Two kind of attacks on cryptographic primitives - the linear and the differential crypt- analysis, have been occupied the attention of the cryptographic community since several years ago. Every cryptographic primitive can be examined as a vector valued Boolean function. The prop ratio tables and the correlation matrices are important tools for analyzing the resistance of any Boolean function to the linear and the differential cryptanalysis. There are several cryptographic primitives based on the so called quasigroup transformations, and in this paper we analyze these quasigroup transformations as Boolean functions. We examine correlation matrices, prop ratio tables and some other cryptographic properties. MSC 2010: 94A60, 20N05, 11T71. Key Words: vector valued Boolean function, prop ratio tables, correlation matrices, quasigroup transformations. 1. Introduction Most of the known constructions of cryptographic primitives use struc- tures from the associative algebras as groups, rings and fields. Two eminent specialists on quasigroups, J. D´enesand A. D. Keedwell [5], once proclaimed the advent of a new era in cryptology, consisting in the application of non- associative algebraic systems as quasigroups and neo-fields. In the past few years, cryptographic community have been introduced with several complete quasigroup based cryptographic primitives (complete in the sense of software and/or hardware implementations, security analysis and proofs and external cryptanalysis), as the binary additive stream cipher Edon80 [6], which is one of the few left unbroken eSTREAM finalists; two Round 1 candidate hash func- tions of NIST SHA-3 competition: Edon-R [7] and NaSHA [10]; etc. -
Programming with Algebraic Structures: Design of the Magma Language
Programming with Algebraic Structures: Design of the Magma Language Wieb Bosma John Cannon Graham Matthews School of Mathematics and Statistics, University of Sydney Sydney, iVSW 2006, Australia Abstract classifying all structures that satisfy some (interesting) set of axioms. Notable successes of this approach have MAGMA is a new software system for computational been the classification of all simple Lie algebras over the algebra, number theory and geometry whose design is field of complex numbers, the Wedderburn classification centred on the concept of algebraic structure (magma). of associative algebras, and the very recent classification The use of algebraic structure as a design paradigm of finite simple groups. Classification problems t ypically provides a natural strong typing mechanism. Further, concern themselves with categories of algebraic struc- structures and their morphisms appear in the language tures, and their solution usually requires detailed anal- as first class objects. Standard mathematical notions ysis of entire structures, rather then just consideration are used for the basic data types. The result is a power- of their elements, that is, second order computation. ful, clean language which deals with objects in a math- Examination of the major computer algebra systems ematically rigorous manner. The conceptual and im- reveals that most of them were designed around the no- plementation ideas behind MAGMA will be examined in tion of jirst order computation. Further, systems such this paper. This conceptual base differs significantly as Macsyma, Reduce, Maple [6] and Mathematical [13] from those underlying other computer algebra systems. assume that all algebraic objects are elements of one of a small number of elementary structures. -
Volcanoes: the Ring of Fire in the Pacific Northwest
Volcanoes: The Ring of Fire in the Pacific Northwest Timeframe Description 1 fifty minute class period In this lesson, students will learn about the geological processes Target Audience that create volcanoes, about specific volcanoes within the Ring of Fire (including classification, types of volcanoes, formation process, Grades 4th- 8th history and characteristics), and about how volcanoes are studied and why. For instance, students will learn about the most active Suggested Materials submarine volcano located 300 miles off the coast of Oregon — Axial • Volcanoe profile cards Seamount. This submarine volcano is home to the first underwater research station called the Cabled Axial Seamount Array, from which researchers stream data and track underwater eruptions via fiber optic cables. Students will learn that researchers also monitor Axial Seamount using research vessels and remote operated vehicles. Objectives Students will: • Synthesize and communicate scientific information about specific volcanoes to fellow students • Will learn about geological processes that form volcanoes on land and underwater • Will explore the different methods researchers employ to study volcanoes and related geological activity Essential Questions What are the different processes that create volcanoes and how/why do researchers study volcanic activity? How, if at all, do submarine volcanoes differ from volcanoes on land? Background Information A volcano occurs at a point where material from the inside of the Earth is escaping to the surface. Volcanoes Contact: usually occur along the fault lines that SMILE Program separate the tectonic plates that make [email protected] up the Earth's crust (the outermost http://smile.oregonstate.edu/ layer of the Earth). Typically (though not always), volcanoes occur at one of two types of fault lines. -
Józef H. Przytycki DISTRIBUTIVITY VERSUS ASSOCIATIVITY in THE
DEMONSTRATIO MATHEMATICA Vol.XLIV No4 2011 Józef H. Przytycki DISTRIBUTIVITY VERSUS ASSOCIATIVITY IN THE HOMOLOGY THEORY OF ALGEBRAIC STRUCTURES Abstract. While homology theory of associative structures, such as groups and rings, has been extensively studied in the past beginning with the work of Hopf, Eilenberg, and Hochschild, homology of non-associative distributive structures, such as quandles, were neglected until recently. Distributive structures have been studied for a long time. In 1880, C.S. Peirce emphasized the importance of (right) self-distributivity in algebraic structures. However, homology for these universal algebras was introduced only sixteen years ago by Fenn, Rourke, and Sanderson. We develop this theory in the historical context and propose a general framework to study homology of distributive structures. We illustrate the theory by computing some examples of 1-term and 2-term homology, and then discussing 4-term homology for Boolean algebras. We outline potential relations to Khovanov homology, via the Yang-Baxter operator. Contents 1. Introduction 824 2. Monoid of binary operations 825 2.1. Whenisadistributivemonoidcommutative? 829 2.2. Every abelian group is a distributive subgroup of Bin(X) for some X 830 2.3. Multi-shelf homomorphism 831 2.4. Examples of shelves and multi-shelves from a group 831 3. Chaincomplex,homology,andchainhomotopy 833 3.1. Presimplicialmoduleandsimplicialmodule 834 3.2. Subcomplex of degenerate elements 835 4. Homology for a simplicial complex 835 5. Homology of an associative structure: group homology and Hochschild homology 836 5.1. Group homology of a semigroup 837 5.2. Hochschild homology of a semigroup 838 1991 Mathematics Subject Classification: Primary 55N35; Secondary 18G60, 57M25.