N-Algebraic Structures and S-N-Algebraic Structures
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Primitive Near-Rings by William
PRIMITIVE NEAR-RINGS BY WILLIAM MICHAEL LLOYD HOLCOMBE -z/ Thesis presented to the University of Leeds _A tor the degree of Doctor of Philosophy. April 1970 ACKNOWLEDGEMENT I should like to thank Dr. E. W. Wallace (Leeds) for all his help and encouragement during the preparation of this work. CONTENTS Page INTRODUCTION 1 CHAPTER.1 Basic Concepts of Near-rings 51. Definitions of a Near-ring. Examples k §2. The right modules with respect to a near-ring, homomorphisms and ideals. 5 §3. Special types of near-rings and modules 9 CHAPTER 2 Radicals and Semi-simplicity 12 §1. The Jacobson Radicals of a near-ring; 12 §2. Basic properties of the radicals. Another radical object. 13 §3. Near-rings with descending chain conditions. 16 §4. Identity elements in near-rings with zero radicals. 20 §5. The radicals of related near-rings. 25. CHAPTER 3 2-primitive near-rings with identity and descending chain condition on right ideals 29 §1. A Density Theorem for 2-primitive near-rings with identity and d. c. c. on right ideals 29 §2. The consequences of the Density Theorem 40 §3. The connection with simple near-rings 4+6 §4. The decomposition of a near-ring N1 with J2(N) _ (0), and d. c. c. on right ideals. 49 §5. The centre of a near-ring with d. c. c. on right ideals 52 §6. When there are two N-modules of type 2, isomorphic in a 2-primitive near-ring? 55 CHAPTER 4 0-primitive near-rings with identity and d. c. -
On One-Sided Prime Ideals
Pacific Journal of Mathematics ON ONE-SIDED PRIME IDEALS FRIEDHELM HANSEN Vol. 58, No. 1 March 1975 PACIFIC JOURNAL OF MATHEMATICS Vol. 58, No. 1, 1975 ON ONE-SIDED PRIME IDEALS F. HANSEN This paper contains some results on prime right ideals in weakly regular rings, especially V-rings, and in rings with restricted minimum condition. Theorem 1 gives information about the structure of V-rings: A V-ring with maximum condition for annihilating left ideals is a finite direct sum of simple V-rings. A characterization of rings with restricted minimum condition is given in Theorem 2: A nonprimitive right Noetherian ring satisfies the restricted minimum condition iff every critical prime right ideal ^(0) is maximal. The proof depends on the simple observation that in a nonprimitive ring with restricted minimum condition all prime right ideals /(0) contain a (two-sided) prime ideal ^(0). An example shows that Theorem 2 is not valid for right Noetherian primitive rings. The same observation on nonprimitive rings leads to a sufficient condition for rings with restricted minimum condition to be right Noetherian. It remains an open problem whether there exist nonnoetherian rings with restricted minimum condition (clearly in the commutative case they are Noetherian). Theorem 1 is a generalization of the well known: A right Goldie V-ring is a finite direct sum of simple V-rings (e.g., [2], p. 357). Theorem 2 is a noncommutative version of a result due to Cohen [1, p. 29]. Ornstein has established a weak form in the noncommuta- tive case [11, p. 1145]. In §§1,2,3 the unity in rings is assumed (except in Proposition 2.1), but most of the results are valid for rings without unity, as shown in §4. -
SOME ALGEBRAIC DEFINITIONS and CONSTRUCTIONS Definition
SOME ALGEBRAIC DEFINITIONS AND CONSTRUCTIONS Definition 1. A monoid is a set M with an element e and an associative multipli- cation M M M for which e is a two-sided identity element: em = m = me for all m M×. A−→group is a monoid in which each element m has an inverse element m−1, so∈ that mm−1 = e = m−1m. A homomorphism f : M N of monoids is a function f such that f(mn) = −→ f(m)f(n) and f(eM )= eN . A “homomorphism” of any kind of algebraic structure is a function that preserves all of the structure that goes into the definition. When M is commutative, mn = nm for all m,n M, we often write the product as +, the identity element as 0, and the inverse of∈m as m. As a convention, it is convenient to say that a commutative monoid is “Abelian”− when we choose to think of its product as “addition”, but to use the word “commutative” when we choose to think of its product as “multiplication”; in the latter case, we write the identity element as 1. Definition 2. The Grothendieck construction on an Abelian monoid is an Abelian group G(M) together with a homomorphism of Abelian monoids i : M G(M) such that, for any Abelian group A and homomorphism of Abelian monoids−→ f : M A, there exists a unique homomorphism of Abelian groups f˜ : G(M) A −→ −→ such that f˜ i = f. ◦ We construct G(M) explicitly by taking equivalence classes of ordered pairs (m,n) of elements of M, thought of as “m n”, under the equivalence relation generated by (m,n) (m′,n′) if m + n′ = −n + m′. -
A Review of Commutative Ring Theory Mathematics Undergraduate Seminar: Toric Varieties
A REVIEW OF COMMUTATIVE RING THEORY MATHEMATICS UNDERGRADUATE SEMINAR: TORIC VARIETIES ADRIANO FERNANDES Contents 1. Basic Definitions and Examples 1 2. Ideals and Quotient Rings 3 3. Properties and Types of Ideals 5 4. C-algebras 7 References 7 1. Basic Definitions and Examples In this first section, I define a ring and give some relevant examples of rings we have encountered before (and might have not thought of as abstract algebraic structures.) I will not cover many of the intermediate structures arising between rings and fields (e.g. integral domains, unique factorization domains, etc.) The interested reader is referred to Dummit and Foote. Definition 1.1 (Rings). The algebraic structure “ring” R is a set with two binary opera- tions + and , respectively named addition and multiplication, satisfying · (R, +) is an abelian group (i.e. a group with commutative addition), • is associative (i.e. a, b, c R, (a b) c = a (b c)) , • and the distributive8 law holds2 (i.e.· a,· b, c ·R, (·a + b) c = a c + b c, a (b + c)= • a b + a c.) 8 2 · · · · · · Moreover, the ring is commutative if multiplication is commutative. The ring has an identity, conventionally denoted 1, if there exists an element 1 R s.t. a R, 1 a = a 1=a. 2 8 2 · ·From now on, all rings considered will be commutative rings (after all, this is a review of commutative ring theory...) Since we will be talking substantially about the complex field C, let us recall the definition of such structure. Definition 1.2 (Fields). -
Right Ideals of a Ring and Sublanguages of Science
RIGHT IDEALS OF A RING AND SUBLANGUAGES OF SCIENCE Javier Arias Navarro Ph.D. In General Linguistics and Spanish Language http://www.javierarias.info/ Abstract Among Zellig Harris’s numerous contributions to linguistics his theory of the sublanguages of science probably ranks among the most underrated. However, not only has this theory led to some exhaustive and meaningful applications in the study of the grammar of immunology language and its changes over time, but it also illustrates the nature of mathematical relations between chunks or subsets of a grammar and the language as a whole. This becomes most clear when dealing with the connection between metalanguage and language, as well as when reflecting on operators. This paper tries to justify the claim that the sublanguages of science stand in a particular algebraic relation to the rest of the language they are embedded in, namely, that of right ideals in a ring. Keywords: Zellig Sabbetai Harris, Information Structure of Language, Sublanguages of Science, Ideal Numbers, Ernst Kummer, Ideals, Richard Dedekind, Ring Theory, Right Ideals, Emmy Noether, Order Theory, Marshall Harvey Stone. §1. Preliminary Word In recent work (Arias 2015)1 a line of research has been outlined in which the basic tenets underpinning the algebraic treatment of language are explored. The claim was there made that the concept of ideal in a ring could account for the structure of so- called sublanguages of science in a very precise way. The present text is based on that work, by exploring in some detail the consequences of such statement. §2. Introduction Zellig Harris (1909-1992) contributions to the field of linguistics were manifold and in many respects of utmost significance. -
Algebraic Structures Lecture 18 Thursday, April 4, 2019 1 Type
Harvard School of Engineering and Applied Sciences — CS 152: Programming Languages Algebraic structures Lecture 18 Thursday, April 4, 2019 In abstract algebra, algebraic structures are defined by a set of elements and operations on those ele- ments that satisfy certain laws. Some of these algebraic structures have interesting and useful computa- tional interpretations. In this lecture we will consider several algebraic structures (monoids, functors, and monads), and consider the computational patterns that these algebraic structures capture. We will look at Haskell, a functional programming language named after Haskell Curry, which provides support for defin- ing and using such algebraic structures. Indeed, monads are central to practical programming in Haskell. First, however, we consider type constructors, and see two new type constructors. 1 Type constructors A type constructor allows us to create new types from existing types. We have already seen several different type constructors, including product types, sum types, reference types, and parametric types. The product type constructor × takes existing types τ1 and τ2 and constructs the product type τ1 × τ2 from them. Similarly, the sum type constructor + takes existing types τ1 and τ2 and constructs the product type τ1 + τ2 from them. We will briefly introduce list types and option types as more examples of type constructors. 1.1 Lists A list type τ list is the type of lists with elements of type τ. We write [] for the empty list, and v1 :: v2 for the list that contains value v1 as the first element, and v2 is the rest of the list. We also provide a way to check whether a list is empty (isempty? e) and to get the head and the tail of a list (head e and tail e). -
Binary Operations
Binary operations 1 Binary operations The essence of algebra is to combine two things and get a third. We make this into a definition: Definition 1.1. Let X be a set. A binary operation on X is a function F : X × X ! X. However, we don't write the value of the function on a pair (a; b) as F (a; b), but rather use some intermediate symbol to denote this value, such as a + b or a · b, often simply abbreviated as ab, or a ◦ b. For the moment, we will often use a ∗ b to denote an arbitrary binary operation. Definition 1.2. A binary structure (X; ∗) is a pair consisting of a set X and a binary operation on X. Example 1.3. The examples are almost too numerous to mention. For example, using +, we have (N; +), (Z; +), (Q; +), (R; +), (C; +), as well as n vector space and matrix examples such as (R ; +) or (Mn;m(R); +). Using n subtraction, we have (Z; −), (Q; −), (R; −), (C; −), (R ; −), (Mn;m(R); −), but not (N; −). For multiplication, we have (N; ·), (Z; ·), (Q; ·), (R; ·), (C; ·). If we define ∗ ∗ ∗ Q = fa 2 Q : a 6= 0g, R = fa 2 R : a 6= 0g, C = fa 2 C : a 6= 0g, ∗ ∗ ∗ then (Q ; ·), (R ; ·), (C ; ·) are also binary structures. But, for example, ∗ (Q ; +) is not a binary structure. Likewise, (U(1); ·) and (µn; ·) are binary structures. In addition there are matrix examples: (Mn(R); ·), (GLn(R); ·), (SLn(R); ·), (On; ·), (SOn; ·). Next, there are function composition examples: for a set X,(XX ; ◦) and (SX ; ◦). -
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. -
Problems and Comments on Boolean Algebras Rosen, Fifth Edition: Chapter 10; Sixth Edition: Chapter 11 Boolean Functions
Problems and Comments on Boolean Algebras Rosen, Fifth Edition: Chapter 10; Sixth Edition: Chapter 11 Boolean Functions Section 10. 1, Problems: 1, 2, 3, 4, 10, 11, 29, 36, 37 (fifth edition); Section 11.1, Problems: 1, 2, 5, 6, 12, 13, 31, 40, 41 (sixth edition) The notation ""forOR is bad and misleading. Just think that in the context of boolean functions, the author uses instead of ∨.The integers modulo 2, that is ℤ2 0,1, have an addition where 1 1 0 while 1 ∨ 1 1. AsetA is partially ordered by a binary relation ≤, if this relation is reflexive, that is a ≤ a holds for every element a ∈ S,it is transitive, that is if a ≤ b and b ≤ c hold for elements a,b,c ∈ S, then one also has that a ≤ c, and ≤ is anti-symmetric, that is a ≤ b and b ≤ a can hold for elements a,b ∈ S only if a b. The subsets of any set S are partially ordered by set inclusion. that is the power set PS,⊆ is a partially ordered set. A partial ordering on S is a total ordering if for any two elements a,b of S one has that a ≤ b or b ≤ a. The natural numbers ℕ,≤ with their ordinary ordering are totally ordered. A bounded lattice L is a partially ordered set where every finite subset has a least upper bound and a greatest lower bound.The least upper bound of the empty subset is defined as 0, it is the smallest element of L. -
Semi-Commutativity and the Mccoy Condition
SEMI-COMMUTATIVITY AND THE MCCOY CONDITION PACE P. NIELSEN Abstract. We prove that all reversible rings are McCoy, generalizing the fact that both commutative and reduced rings are McCoy. We then give an example of a semi-commutative ring that is not right McCoy. At the same time, we also show that semi-commutative rings do have a property close to the McCoy condition. 1. Introduction It is often taught in an elementary algebra course that if R is a commutative ring, and f(x) is a zero-divisor in R[x], then there is a nonzero element r 2 R with f(x)r = 0. This was ¯rst proved by McCoy [6, Theorem 2]. One can then make the following de¯nition: De¯nition. Let R be an associative ring with 1. We say that R is right McCoy when the equation f(x)g(x) = 0 over R[x], where f(x); g(x) 6= 0, implies there exists a nonzero r 2 R with f(x)r = 0. We de¯ne left McCoy rings similarly. If a ring is both left and right McCoy we say that the ring is a McCoy ring. As one would expect, reduced rings are McCoy. (In fact, reduced rings are Pm i Armendariz rings. A ring, R, is Armendariz if given f(x) = i=0 aix 2 R[x] and Pn i g(x) = i=0 bix 2 R[x] with f(x)g(x) = 0 this implies aibj = 0 for all i; j.) A natural question is whether there is a class of rings that are McCoy, which also encompasses all reduced rings and all commutative rings. -
An Introduction to the Theory of Lattice Ý Jinfang Wang £
An Introduction to the Theory of Lattice Ý Jinfang Wang £ Graduate School of Science and Technology, Chiba University 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan May 11, 2006 £ Fax: 81-43-290-3663. E-Mail addresses: [email protected] Ý Partially supported by Grand-in-Aid 15500179 of the Japanese Ministry of Education, Science, Sports and Cul- ture. 1 1 Introduction A lattice1 is a partially ordered set (or poset), in which all nonempty finite subsets have both a supremum (join) and an infimum (meet). Lattices can also be characterized as algebraic structures that satisfy certain identities. Since both views can be used interchangeably, lattice theory can draw upon applications and methods both from order theory and from universal algebra. Lattices constitute one of the most prominent representatives of a series of “lattice-like” structures which admit order-theoretic as well as algebraic descriptions, such as semilattices, Heyting algebras, and Boolean algebras. 2 Semilattice A semilattice is a partially ordered set within which either all binary sets have a supremum (join) or all binary sets have an infimum (meet). Consequently, one speaks of either a join-semilattice or a meet-semilattice. Semilattices may be regarded as a generalization of the more prominent concept of a lattice. In the literature, join-semilattices sometimes are sometimes additionally required to have a least element (the join of the empty set). Dually, meet-semilattices may include a greatest element. 2.1 Definitions Semilattices as posets Ë µ Ü DEFINITION 2.1 (MEET-SEMILATTICE). A poset ´ is a meet-semilattice if for all elements Ë Ü Ý and Ý of , the greatest lower bound (meet) of the set exists. -
How Structure Sense for Algebraic Expressions Or Equations Is Related to Structure Sense for Abstract Algebra
Mathematics Education Research Journal 2008, Vol. 20, No. 2, 93-104 How Structure Sense for Algebraic Expressions or Equations is Related to Structure Sense for Abstract Algebra Jarmila Novotná Maureen Hoch Charles University, Czech Republic Tel Aviv University, Israel Many students have difficulties with basic algebraic concepts at high school and at university. In this paper two levels of algebraic structure sense are defined: for high school algebra and for university algebra. We suggest that high school algebra structure sense components are sub-components of some university algebra structure sense components, and that several components of university algebra structure sense are analogies of high school algebra structure sense components. We present a theoretical argument for these hypotheses, with some examples. We recommend emphasizing structure sense in high school algebra in the hope of easing students’ paths in university algebra. The cooperation of the authors in the domain of structure sense originated at a scientific conference where they each presented the results of their research in their own countries: Israel and the Czech Republic. Their findings clearly show that they are dealing with similar situations, concepts, obstacles, and so on, at two different levels—high school and university. In their classrooms, high school teachers are dismayed by students’ inability to apply basic algebraic techniques in contexts different from those they have experienced. Many students who arrive in high school with excellent grades in mathematics from the junior-high school prove to be poor at algebraic manipulations. Even students who succeed well in 10th grade algebra show disappointing results later on, because of the algebra.