Maximal Subgroups of Free Idempotent Generated Semigroups Over the Full Linear Monoid
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Computing Finite Semigroups
Computing finite semigroups J. East, A. Egri-Nagy, J. D. Mitchell, and Y. P´eresse August 24, 2018 Abstract Using a variant of Schreier's Theorem, and the theory of Green's relations, we show how to reduce the computation of an arbitrary subsemigroup of a finite regular semigroup to that of certain associated subgroups. Examples of semigroups to which these results apply include many important classes: transformation semigroups, partial permutation semigroups and inverse semigroups, partition monoids, matrix semigroups, and subsemigroups of finite regular Rees matrix and 0-matrix semigroups over groups. For any subsemigroup of such a semigroup, it is possible to, among other things, efficiently compute its size and Green's relations, test membership, factorize elements over the generators, find the semigroup generated by the given subsemigroup and any collection of additional elements, calculate the partial order of the D-classes, test regularity, and determine the idempotents. This is achieved by representing the given subsemigroup without exhaustively enumerating its elements. It is also possible to compute the Green's classes of an element of such a subsemigroup without determining the global structure of the semigroup. Contents 1 Introduction 2 2 Mathematical prerequisites4 3 From transformation semigroups to arbitrary regular semigroups6 3.1 Actions on Green's classes . .6 3.2 Faithful representations of stabilisers . .7 3.3 A decomposition for Green's classes . .8 3.4 Membership testing . 11 3.5 Classes within classes . 13 4 Specific classes of semigroups 14 4.1 Transformation semigroups . 15 4.2 Partial permutation semigroups and inverse semigroups . 16 4.3 Matrix semigroups . -
Single Elements
Beitr¨agezur Algebra und Geometrie Contributions to Algebra and Geometry Volume 47 (2006), No. 1, 275-288. Single Elements B. J. Gardner Gordon Mason Department of Mathematics, University of Tasmania Hobart, Tasmania, Australia Department of Mathematics & Statistics, University of New Brunswick Fredericton, N.B., Canada Abstract. In this paper we consider single elements in rings and near- rings. If R is a (near)ring, x ∈ R is called single if axb = 0 ⇒ ax = 0 or xb = 0. In seeking rings in which each element is single, we are led to consider 0-simple rings, a class which lies between division rings and simple rings. MSC 2000: 16U99 (primary), 16Y30 (secondary) Introduction If R is a (not necessarily unital) ring, an element s is called single if whenever asb = 0 then as = 0 or sb = 0. The definition was first given by J. Erdos [2] who used it to obtain results in the representation theory of normed algebras. More recently the idea has been applied by Longstaff and Panaia to certain matrix algebras (see [9] and its bibliography) and they suggest it might be worthy of further study in other contexts. In seeking rings in which every element is single we are led to consider 0-simple rings, a class which lies between division rings and simple rings. In the final section we examine the situation in nearrings and obtain information about minimal N-subgroups of some centralizer nearrings. 1. Single elements in rings We begin with a slightly more general definition. If I is a one-sided ideal in a ring R an element x ∈ R will be called I-single if axb ∈ I ⇒ ax ∈ I or xb ∈ I. -
Free Idempotent Generated Semigroups and Endomorphism Monoids of Independence Algebras
Free idempotent generated semigroups and endomorphism monoids of independence algebras Yang Dandan & Victoria Gould Semigroup Forum ISSN 0037-1912 Semigroup Forum DOI 10.1007/s00233-016-9802-0 1 23 Your article is published under the Creative Commons Attribution license which allows users to read, copy, distribute and make derivative works, as long as the author of the original work is cited. You may self- archive this article on your own website, an institutional repository or funder’s repository and make it publicly available immediately. 1 23 Semigroup Forum DOI 10.1007/s00233-016-9802-0 RESEARCH ARTICLE Free idempotent generated semigroups and endomorphism monoids of independence algebras Yang Dandan1 · Victoria Gould2 Received: 18 January 2016 / Accepted: 3 May 2016 © The Author(s) 2016. This article is published with open access at Springerlink.com Abstract We study maximal subgroups of the free idempotent generated semigroup IG(E), where E is the biordered set of idempotents of the endomorphism monoid End A of an independence algebra A, in the case where A has no constants and has finite rank n. It is shown that when n ≥ 3 the maximal subgroup of IG(E) containing a rank 1 idempotent ε is isomorphic to the corresponding maximal subgroup of End A containing ε. The latter is the group of all unary term operations of A. Note that the class of independence algebras with no constants includes sets, free group acts and affine algebras. Keywords Independence algebra · Idempotent · Biordered set 1 Introduction Let S be a semigroup with set E = E(S) of idempotents, and let E denote the subsemigroup of S generated by E. -
Arxiv:1905.10901V1 [Cs.LG] 26 May 2019
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks Andrew Hryniowski1;2;3, Alexander Wong1;2;3 1 Video and Image Processing Research Group, Systems Design Engineering, University of Waterloo 2 Waterloo Artificial Intelligence Institute, Waterloo, ON 3 DarwinAI Corp., Waterloo, ON fapphryni, [email protected] Abstract of applications, particularly for prediction using structured data. Despite such successes, a major challenge with lever- Researchers are actively trying to gain better insights aging convolutional neural networks is the sheer number of into the representational properties of convolutional neural learnable parameters within such networks, making under- networks for guiding better network designs and for inter- standing and gaining insights about them a daunting task. As preting a network’s computational nature. Gaining such such, researchers are actively trying to gain better insights insights can be an arduous task due to the number of pa- and understanding into the representational properties of rameters in a network and the complexity of a network’s convolutional neural networks, especially since it can lead architecture. Current approaches of neural network inter- to better design and interpretability of such networks. pretation include Bayesian probabilistic interpretations and One direction that holds a lot of promise in improving information theoretic interpretations. In this study, we take a understanding of convolutional neural networks, but is much different approach to studying convolutional neural networks less explored than other approaches, is the construction of by proposing an abstract algebraic interpretation using finite theoretical models and interpretations of such networks. Cur- transformation semigroup theory. -
Arxiv:1508.00183V2 [Math.RA] 6 Aug 2015 Atclrb Ed Yasemigroup a by field
A THEOREM OF KAPLANSKY REVISITED HEYDAR RADJAVI AND BAMDAD R. YAHAGHI Abstract. We present a new and simple proof of a theorem due to Kaplansky which unifies theorems of Kolchin and Levitzki on triangularizability of semigroups of matrices. We also give two different extensions of the theorem. As a consequence, we prove the counterpart of Kolchin’s Theorem for finite groups of unipotent matrices over division rings. We also show that the counterpart of Kolchin’s Theorem over division rings of characteristic zero implies that of Kaplansky’s Theorem over such division rings. 1. Introduction The purpose of this short note is three-fold. We give a simple proof of Kaplansky’s Theorem on the (simultaneous) triangularizability of semi- groups whose members all have singleton spectra. Our proof, although not independent of Kaplansky’s, avoids the deeper group theoretical aspects present in it and in other existing proofs we are aware of. Also, this proof can be adjusted to give an affirmative answer to Kolchin’s Problem for finite groups of unipotent matrices over division rings. In particular, it follows from this proof that the counterpart of Kolchin’s Theorem over division rings of characteristic zero implies that of Ka- plansky’s Theorem over such division rings. We also present extensions of Kaplansky’s Theorem in two different directions. M arXiv:1508.00183v2 [math.RA] 6 Aug 2015 Let us fix some notation. Let ∆ be a division ring and n(∆) the algebra of all n × n matrices over ∆. The division ring ∆ could in particular be a field. By a semigroup S ⊆ Mn(∆), we mean a set of matrices closed under multiplication. -
Ring (Mathematics) 1 Ring (Mathematics)
Ring (mathematics) 1 Ring (mathematics) In mathematics, a ring is an algebraic structure consisting of a set together with two binary operations usually called addition and multiplication, where the set is an abelian group under addition (called the additive group of the ring) and a monoid under multiplication such that multiplication distributes over addition.a[›] In other words the ring axioms require that addition is commutative, addition and multiplication are associative, multiplication distributes over addition, each element in the set has an additive inverse, and there exists an additive identity. One of the most common examples of a ring is the set of integers endowed with its natural operations of addition and multiplication. Certain variations of the definition of a ring are sometimes employed, and these are outlined later in the article. Polynomials, represented here by curves, form a ring under addition The branch of mathematics that studies rings is known and multiplication. as ring theory. Ring theorists study properties common to both familiar mathematical structures such as integers and polynomials, and to the many less well-known mathematical structures that also satisfy the axioms of ring theory. The ubiquity of rings makes them a central organizing principle of contemporary mathematics.[1] Ring theory may be used to understand fundamental physical laws, such as those underlying special relativity and symmetry phenomena in molecular chemistry. The concept of a ring first arose from attempts to prove Fermat's last theorem, starting with Richard Dedekind in the 1880s. After contributions from other fields, mainly number theory, the ring notion was generalized and firmly established during the 1920s by Emmy Noether and Wolfgang Krull.[2] Modern ring theory—a very active mathematical discipline—studies rings in their own right. -
Transformation Semigroups and Their Automorphisms
Transformation Semigroups and their Automorphisms Wolfram Bentz University of Hull Joint work with Jo~aoAra´ujo(CEMAT, Universidade Nova de Lisboa) Peter J. Cameron (University of St Andrews) York Semigroup York, October 9, 2019 X Let X be a set and TX = X be full transformation monoid on X , under composition. Note that TX contains the symmetric group over X (as its group of units) We will only consider finite X , and more specifically Tn = TXn , Sn = SXn , where Xn = f1;:::; ng for n 2 N For S ≤ Tn, we are looking at the interaction of S \ Sn and S Transformation Monoids and Permutation Groups Wolfram Bentz (Hull) Transformation Semigroups October 9, 2019 2 / 23 Note that TX contains the symmetric group over X (as its group of units) We will only consider finite X , and more specifically Tn = TXn , Sn = SXn , where Xn = f1;:::; ng for n 2 N For S ≤ Tn, we are looking at the interaction of S \ Sn and S Transformation Monoids and Permutation Groups X Let X be a set and TX = X be full transformation monoid on X , under composition. Wolfram Bentz (Hull) Transformation Semigroups October 9, 2019 2 / 23 We will only consider finite X , and more specifically Tn = TXn , Sn = SXn , where Xn = f1;:::; ng for n 2 N For S ≤ Tn, we are looking at the interaction of S \ Sn and S Transformation Monoids and Permutation Groups X Let X be a set and TX = X be full transformation monoid on X , under composition. Note that TX contains the symmetric group over X (as its group of units) Wolfram Bentz (Hull) Transformation Semigroups October 9, 2019 2 / 23 Transformation Monoids and Permutation Groups X Let X be a set and TX = X be full transformation monoid on X , under composition. -
RING THEORY 1. Ring Theory a Ring Is a Set a with Two Binary Operations
CHAPTER IV RING THEORY 1. Ring Theory A ring is a set A with two binary operations satisfying the rules given below. Usually one binary operation is denoted `+' and called \addition," and the other is denoted by juxtaposition and is called \multiplication." The rules required of these operations are: 1) A is an abelian group under the operation + (identity denoted 0 and inverse of x denoted x); 2) A is a monoid under the operation of multiplication (i.e., multiplication is associative and there− is a two-sided identity usually denoted 1); 3) the distributive laws (x + y)z = xy + xz x(y + z)=xy + xz hold for all x, y,andz A. Sometimes one does∈ not require that a ring have a multiplicative identity. The word ring may also be used for a system satisfying just conditions (1) and (3) (i.e., where the associative law for multiplication may fail and for which there is no multiplicative identity.) Lie rings are examples of non-associative rings without identities. Almost all interesting associative rings do have identities. If 1 = 0, then the ring consists of one element 0; otherwise 1 = 0. In many theorems, it is necessary to specify that rings under consideration are not trivial, i.e. that 1 6= 0, but often that hypothesis will not be stated explicitly. 6 If the multiplicative operation is commutative, we call the ring commutative. Commutative Algebra is the study of commutative rings and related structures. It is closely related to algebraic number theory and algebraic geometry. If A is a ring, an element x A is called a unit if it has a two-sided inverse y, i.e. -
Green's Relations in Finite Transformation Semigroups
Green’s Relations in Finite Transformation Semigroups Lukas Fleischer Manfred Kufleitner FMI, University of Stuttgart∗ Universitätsstraße 38, 70569 Stuttgart, Germany {fleischer,kufleitner}@fmi.uni-stuttgart.de Abstract. We consider the complexity of Green’s relations when the semigroup is given by transformations on a finite set. Green’s relations can be defined by reachability in the (right/left/two-sided) Cayley graph. The equivalence classes then correspond to the strongly connected com- ponents. It is not difficult to show that, in the worst case, the number of equivalence classes is in the same order of magnitude as the number of el- ements. Another important parameter is the maximal length of a chain of components. Our main contribution is an exponential lower bound for this parameter. There is a simple construction for an arbitrary set of generators. However, the proof for constant alphabet is rather involved. Our results also apply to automata and their syntactic semigroups. 1 Introduction Let Q be a finite set with n elements. There are nn mappings from Q to Q. Such mappings are called transformations and the elements of Q are called states. The composition of transformations defines an associative operation. If Σ is some arbi- trary subset of transformations, we can consider the transformation semigroup S generated by Σ; this is the closure of Σ under composition.1 The set of all trans- arXiv:1703.04941v1 [cs.FL] 15 Mar 2017 formations on Q is called the full transformation semigroup on Q. One can view (Q, Σ) as a description of S. Since every element s of a semigroup S defines a trans- formation x 7→ x · s on S1 = S ∪ {1}, every semigroup S admits such a description ∗ This work was supported by the DFG grants DI 435/5-2 and KU 2716/1-1. -
Beyond Regular Semigroups
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by OpenGrey Repository Beyond Regular Semigroups Yan Hui Wang PhD University of York Department of Mathematics March 2012 Abstract The topic of this thesis is the class of weakly U-abundant semigroups. This class is very wide, containing inverse, orthodox, regular, ample, adequate, quasi- adequate, concordant, abundant, restriction, Ehresmann and weakly abundant semigroups. A semigroup S with subset of idempotents U is weakly U-abundant if every RU -class and every LU -class contains an idempotent of U, where RU and LU are relations extending the well known Green’s relations R and L. We assume throughout that our semigroups satisfy a condition known as the Con- gruence Condition (C). We take several approaches to weakly U-abundant semigroups. Our first re- sults describe those that are analogous to completely simple semigroups. Together with an existing result of Ren this determines the structure of those weakly U- abundant semigroups that are analogues of completely regular semigroups, that is, they are superabundant. Our description is in terms of a semilattice of rectan- gular bands of monoids. The second strand is to aim for an extension of the Hall-Yamada theorem for orthodox semigroups as spined products of inverse semigroups and fundamental orthodox semigroups. To this end we consider weakly B-orthodox semigroups, where B is a band. We note that if B is a semilattice then a weakly B-orthodox semigroup is exactly an Ehresmann semigroup. We provide a description of a weakly B-orthodox semigroup S as a spined product of a fundamental weakly B- orthodox semigroup SB (depending only on B) and S/γB, where B is isomorphic to B and γB is the analogue of the least inverse congruence on an orthodox semigroup. -
Course Notes for MAT 612: Abstract Algebra II
Course Notes for MAT 612: Abstract Algebra II Dana C. Ernst, PhD Northern Arizona University Spring 2016 Contents 1 Ring Theory 3 1.1 Definitions and Examples..............................3 1.2 Ideals and Quotient Rings.............................. 11 1.3 Maximal and Prime Ideals.............................. 17 1.4 Rings of Fractions................................... 20 1.5 Principal Ideal Domains............................... 23 1.6 Euclidean Domains.................................. 26 1.7 Unique Factorization Domains............................ 31 1.8 More on Polynomial Rings.............................. 36 1 Ring Theory 1.1 Definitions and Examples This section of notes roughly follows Sections 7.1–7.3 in Dummit and Foote. Recall that a group is a set together with a single binary operation, which together satisfy a few modest properties. Loosely speaking, a ring is a set together with two binary operations (called addition and multiplication) that are related via a distributive property. Definition 1.1. A ring R is a set together with two binary operations + and × (called addition and multiplication, respectively) satisfying the following: (i)( R;+) is an abelian group. (ii) × is associative: (a × b) × c = a × (b × c) for all a;b;c 2 R. (iii) The distributive property holds: a×(b +c) = (a×b) +(a×c) and (a+b)×c = (a×c) +(b ×c) for all a;b;c 2 R. 3 Note 1.2. We make a couple comments about notation. (1) We write ab in place a × b. (2) The additive inverse of the ring element a 2 R is denoted −a. Theorem 1.3. Let R be a ring. Then for all a;b 2 R: (1)0 a = a0 = 0 (2)( −a)b = a(−b) = −(ab) (3)( −a)(−b) = ab Definition 1.4. -
Definition and Examples of Rings 50
LECTURE 14 Definition and Examples of Rings Definition 14.1. A ring is a nonempty set R equipped with two operations ⊕ and ⊗ (more typically denoted as addition and multiplication) that satisfy the following conditions. For all a; b; c 2 R: (1) If a 2 R and b 2 R, then a ⊕ b 2 R. (2) a ⊕ (b ⊕ c) = (a ⊕ b) ⊕ c (3) a ⊕ b = b ⊕ a (4) There is an element 0R in R such that a ⊕ 0R = a ; 8 a 2 R: (5) For each a 2 R, the equation a ⊕ x = 0R has a solution in R. (6) If a 2 R, and b 2 R, then ab 2 R. (7) a ⊗ (b ⊗ c) = (a ⊗ b) ⊗ c. (8) a ⊗ (b ⊕ c) = (a ⊗ b) ⊕ (b ⊗ c) Definition 14.2. A commutative ring is a ring R such that (14.1) a ⊗ b = b ⊗ a ; 8 a; b 2 R: Definition 14.3. A ring with identity is a ring R that contains an element 1R such that (14.2) a ⊗ 1R = 1R ⊗ a = a ; 8 a 2 R: Let us continue with our discussion of examples of rings. Example 1. Z, Q, R, and C are all commutative rings with identity. Example 2. Let I denote an interval on the real line and let R denote the set of continuous functions f : I ! R. R can be given the structure of a commutative ring with identity by setting [f ⊕ g](x) = f(x) + g(x) [f ⊗ g](x) = f(x)g(x) 0R ≡ function with constant value 0 1R ≡ function with constant value 1 and then verifying that properties (1)-(10) hold.